diff --git a/.github/ISSUE_TEMPLATE/bug.yml b/.github/ISSUE_TEMPLATE/bug.yml index 3c30c343ca8f..1ff96082c035 100644 --- a/.github/ISSUE_TEMPLATE/bug.yml +++ b/.github/ISSUE_TEMPLATE/bug.yml @@ -46,123 +46,30 @@ body: label: Issue Priority description: What priority is this bug? See https://beam.apache.org/contribute/issue-priorities for the meaning and expectations around issue priorities. options: - - "Priority: 3" - - "Priority: 2" - - "Priority: 1" - - "Priority: 0" + - "Priority: 3 (minor)" + - "Priority: 2 (default / most bugs should be filed as P2)" + - "Priority: 1 (data loss / total loss of function)" + - "Priority: 0 (outage / urgent vulnerability)" validations: required: true - - type: dropdown + - type: checkboxes id: component attributes: - label: Issue Component + label: Issue Components + description: Which languages, SDKs, or features are related to your report? (check all that apply) options: - - "Component: beam-community" - - "Component: beam-model" - - "Component: beam-playground" - - "Component: build-system" - - "Component: community-metrics" - - "Component: cross-language" - - "Component: dependencies" - - "Component: dsl-dataframe" - - "Component: dsl-euphoria" - - "Component: dsl-sql" - - "Component: dsl-sql-zetasql" - - "Component: examples-java" - - "Component: examples-python" - - "Component: extensions-ideas" - - "Component: extensions-java-gcp" - - "Component: extensions-java-join-library" - - "Component: extensions-java-json" - - "Component: extensions-java-kyro" - - "Component: extensions-java-protobuf" - - "Component: extensions-java-sketching" - - "Component: extensions-java-sorter" - - "Component: infrastructure" - - "Component: io-common" - - "Component: io-go-gcp" - - "Component: io-ideas" - - "Component: io-java-amqp" - - "Component: io-java-avro" - - "Component: io-java-aws" - - "Component: io-java-azure" - - "Component: io-java-cassandra" - - "Component: io-java-cdap" - - "Component: io-java-clickhouse" - - "Component: io-java-debezium" - - "Component: io-java-elasticsearch" - - "Component: io-java-files" - - "Component: io-java-gcp" - - "Component: io-java-hadoop-file-system" - - "Component: io-java-hadoop-format" - - "Component: io-java-hbase" - - "Component: io-java-hcatalog" - - "Component: io-java-healthcare" - - "Component: io-java-influxdb" - - "Component: io-java-jdbc" - - "Component: io-java-jms" - - "Component: io-java-kafka" - - "Component: io-java-kinesis" - - "Component: io-java-kudu" - - "Component: io-java-mongodb" - - "Component: io-java-mqtt" - - "Component: io-java-parquet" - - "Component: io-java-pulsar" - - "Component: io-java-rabbitmq" - - "Component: io-java-redis" - - "Component: io-java-snowflake" - - "Component: io-java-solr" - - "Component: io-java-splunk" - - "Component: io-java-text" - - "Component: io-java-tfrecord" - - "Component: io-java-tika" - - "Component: io-java-utilities" - - "Component: io-java-xml" - - "Component: io-py-avro" - - "Component: io-py-aws" - - "Component: io-py-common" - - "Component: io-py-files" - - "Component: io-py-gcp" - - "Component: io-py-hadoop" - - "Component: io-py-ideas" - - "Component: io-py-kafka" - - "Component: io-py-mongodb" - - "Component: io-py-parquet" - - "Component: io-py-tfrecord" - - "Component: io-py-vcf" - - "Component: java-fn-execution" - - "Component: katas" - - "Component: project-management" - - "Component: release" - - "Component: run-inference" - - "Component: runner-apex" - - "Component: runner-core" - - "Component: runner-dataflow" - - "Component: runner-direct" - - "Component: runner-flink" - - "Component: runner-gearpump" - - "Component: runner-ideas" - - "Component: runner-jet" - - "Component: runner-jstorm" - - "Component: runner-mapreduce" - - "Component: runner-py-direct" - - "Component: runner-py-interactive" - - "Component: runner-ray" - - "Component: runner-samza" - - "Component: runner-spark" - - "Component: runner-tez" - - "Component: runner-twister2" - - "Component: runner-universal" - - "Component: sdk-go" - - "Component: sdk-ideas" - - "Component: sdk-java-core" - - "Component: sdk-java-harness" - - "Component: sdk-py-core" - - "Component: sdk-py-harness" - - "Component: sdk-typescript" - - "Component: test-failures" - - "Component: testing" - - "Component: testing-nexmark" - - "Component: website" - validations: - required: true + - label: "Component: Python SDK" + - label: "Component: Java SDK" + - label: "Component: Go SDK" + - label: "Component: Typescript SDK" + - label: "Component: IO connector" + - label: "Component: Beam examples" + - label: "Component: Beam playground" + - label: "Component: Beam katas" + - label: "Component: Website" + - label: "Component: Spark Runner" + - label: "Component: Flink Runner" + - label: "Component: Samza Runner" + - label: "Component: Twister2 Runner" + - label: "Component: Hazelcast Jet Runner" + - label: "Component: Google Cloud Dataflow Runner" diff --git a/.github/ISSUE_TEMPLATE/failing_test.yml b/.github/ISSUE_TEMPLATE/failing_test.yml index 5247cec9afdc..0904719e6d2c 100644 --- a/.github/ISSUE_TEMPLATE/failing_test.yml +++ b/.github/ISSUE_TEMPLATE/failing_test.yml @@ -53,123 +53,29 @@ body: label: Issue Priority description: What priority is this bug? A permanently failing test should be marked P1. See https://beam.apache.org/contribute/issue-priorities for the meaning and expectations around issue priorities. options: - - "Priority: 3" - - "Priority: 2" - - "Priority: 1" - - "Priority: 0" + - "Priority: 2 (backlog / disabled test but we think the product is healthy)" + - "Priority: 1 (unhealthy code / failing or flaky postcommit so we cannot be sure the product is healthy)" + - "Priority: 0 (outage / failing precommit test impacting development)" validations: required: true - - type: dropdown + - type: checkboxes id: component attributes: - label: Issue Component + label: Issue Components + description: Which languages, SDKs, or features are related to your report? (check all that apply) options: - - "Component: beam-community" - - "Component: beam-model" - - "Component: beam-playground" - - "Component: build-system" - - "Component: community-metrics" - - "Component: cross-language" - - "Component: dependencies" - - "Component: dsl-dataframe" - - "Component: dsl-euphoria" - - "Component: dsl-sql" - - "Component: dsl-sql-zetasql" - - "Component: examples-java" - - "Component: examples-python" - - "Component: extensions-ideas" - - "Component: extensions-java-gcp" - - "Component: extensions-java-join-library" - - "Component: extensions-java-json" - - "Component: extensions-java-kyro" - - "Component: extensions-java-protobuf" - - "Component: extensions-java-sketching" - - "Component: extensions-java-sorter" - - "Component: infrastructure" - - "Component: io-common" - - "Component: io-go-gcp" - - "Component: io-ideas" - - "Component: io-java-amqp" - - "Component: io-java-avro" - - "Component: io-java-aws" - - "Component: io-java-azure" - - "Component: io-java-cassandra" - - "Component: io-java-cdap" - - "Component: io-java-clickhouse" - - "Component: io-java-debezium" - - "Component: io-java-elasticsearch" - - "Component: io-java-files" - - "Component: io-java-gcp" - - "Component: io-java-hadoop-file-system" - - "Component: io-java-hadoop-format" - - "Component: io-java-hbase" - - "Component: io-java-hcatalog" - - "Component: io-java-healthcare" - - "Component: io-java-influxdb" - - "Component: io-java-jdbc" - - "Component: io-java-jms" - - "Component: io-java-kafka" - - "Component: io-java-kinesis" - - "Component: io-java-kudu" - - "Component: io-java-mongodb" - - "Component: io-java-mqtt" - - "Component: io-java-parquet" - - "Component: io-java-pulsar" - - "Component: io-java-rabbitmq" - - "Component: io-java-redis" - - "Component: io-java-snowflake" - - "Component: io-java-solr" - - "Component: io-java-splunk" - - "Component: io-java-text" - - "Component: io-java-tfrecord" - - "Component: io-java-tika" - - "Component: io-java-utilities" - - "Component: io-java-xml" - - "Component: io-py-avro" - - "Component: io-py-aws" - - "Component: io-py-common" - - "Component: io-py-files" - - "Component: io-py-gcp" - - "Component: io-py-hadoop" - - "Component: io-py-ideas" - - "Component: io-py-kafka" - - "Component: io-py-mongodb" - - "Component: io-py-parquet" - - "Component: io-py-tfrecord" - - "Component: io-py-vcf" - - "Component: java-fn-execution" - - "Component: katas" - - "Component: project-management" - - "Component: release" - - "Component: run-inference" - - "Component: runner-apex" - - "Component: runner-core" - - "Component: runner-dataflow" - - "Component: runner-direct" - - "Component: runner-flink" - - "Component: runner-gearpump" - - "Component: runner-ideas" - - "Component: runner-jet" - - "Component: runner-jstorm" - - "Component: runner-mapreduce" - - "Component: runner-py-direct" - - "Component: runner-py-interactive" - - "Component: runner-ray" - - "Component: runner-samza" - - "Component: runner-spark" - - "Component: runner-tez" - - "Component: runner-twister2" - - "Component: runner-universal" - - "Component: sdk-go" - - "Component: sdk-ideas" - - "Component: sdk-java-core" - - "Component: sdk-java-harness" - - "Component: sdk-py-core" - - "Component: sdk-py-harness" - - "Component: sdk-typescript" - - "Component: test-failures" - - "Component: testing" - - "Component: testing-nexmark" - - "Component: website" - validations: - required: true + - label: "Component: Python SDK" + - label: "Component: Java SDK" + - label: "Component: Go SDK" + - label: "Component: Typescript SDK" + - label: "Component: IO connector" + - label: "Component: Beam examples" + - label: "Component: Beam playground" + - label: "Component: Beam katas" + - label: "Component: Website" + - label: "Component: Spark Runner" + - label: "Component: Flink Runner" + - label: "Component: Samza Runner" + - label: "Component: Twister2 Runner" + - label: "Component: Hazelcast Jet Runner" + - label: "Component: Google Cloud Dataflow Runner" diff --git a/.github/ISSUE_TEMPLATE/feature.yml b/.github/ISSUE_TEMPLATE/feature.yml index c88073f41b81..deaa14287b8a 100644 --- a/.github/ISSUE_TEMPLATE/feature.yml +++ b/.github/ISSUE_TEMPLATE/feature.yml @@ -42,122 +42,28 @@ body: label: Issue Priority description: What priority is this feature? See https://beam.apache.org/contribute/issue-priorities for the meaning and expectations around issue priorities. options: - - "Priority: 3" - - "Priority: 2" - - "Priority: 1" + - "Priority: 3 (nice-to-have improvement)" + - "Priority: 2 (default / most feature requests should be filed as P2)" validations: required: true - - type: dropdown + - type: checkboxes id: component attributes: - label: Issue Component + label: Issue Components + description: Which languages, SDKs, or features are related to your report? (check all that apply) options: - - "Component: beam-community" - - "Component: beam-model" - - "Component: beam-playground" - - "Component: build-system" - - "Component: community-metrics" - - "Component: cross-language" - - "Component: dependencies" - - "Component: dsl-dataframe" - - "Component: dsl-euphoria" - - "Component: dsl-sql" - - "Component: dsl-sql-zetasql" - - "Component: examples-java" - - "Component: examples-python" - - "Component: extensions-ideas" - - "Component: extensions-java-gcp" - - "Component: extensions-java-join-library" - - "Component: extensions-java-json" - - "Component: extensions-java-kyro" - - "Component: extensions-java-protobuf" - - "Component: extensions-java-sketching" - - "Component: extensions-java-sorter" - - "Component: infrastructure" - - "Component: io-common" - - "Component: io-go-gcp" - - "Component: io-ideas" - - "Component: io-java-amqp" - - "Component: io-java-avro" - - "Component: io-java-aws" - - "Component: io-java-azure" - - "Component: io-java-cassandra" - - "Component: io-java-cdap" - - "Component: io-java-clickhouse" - - "Component: io-java-debezium" - - "Component: io-java-elasticsearch" - - "Component: io-java-files" - - "Component: io-java-gcp" - - "Component: io-java-hadoop-file-system" - - "Component: io-java-hadoop-format" - - "Component: io-java-hbase" - - "Component: io-java-hcatalog" - - "Component: io-java-healthcare" - - "Component: io-java-influxdb" - - "Component: io-java-jdbc" - - "Component: io-java-jms" - - "Component: io-java-kafka" - - "Component: io-java-kinesis" - - "Component: io-java-kudu" - - "Component: io-java-mongodb" - - "Component: io-java-mqtt" - - "Component: io-java-parquet" - - "Component: io-java-pulsar" - - "Component: io-java-rabbitmq" - - "Component: io-java-redis" - - "Component: io-java-snowflake" - - "Component: io-java-solr" - - "Component: io-java-splunk" - - "Component: io-java-text" - - "Component: io-java-tfrecord" - - "Component: io-java-tika" - - "Component: io-java-utilities" - - "Component: io-java-xml" - - "Component: io-py-avro" - - "Component: io-py-aws" - - "Component: io-py-common" - - "Component: io-py-files" - - "Component: io-py-gcp" - - "Component: io-py-hadoop" - - "Component: io-py-ideas" - - "Component: io-py-kafka" - - "Component: io-py-mongodb" - - "Component: io-py-parquet" - - "Component: io-py-tfrecord" - - "Component: io-py-vcf" - - "Component: java-fn-execution" - - "Component: katas" - - "Component: project-management" - - "Component: release" - - "Component: run-inference" - - "Component: runner-apex" - - "Component: runner-core" - - "Component: runner-dataflow" - - "Component: runner-direct" - - "Component: runner-flink" - - "Component: runner-gearpump" - - "Component: runner-ideas" - - "Component: runner-jet" - - "Component: runner-jstorm" - - "Component: runner-mapreduce" - - "Component: runner-py-direct" - - "Component: runner-py-interactive" - - "Component: runner-ray" - - "Component: runner-samza" - - "Component: runner-spark" - - "Component: runner-tez" - - "Component: runner-twister2" - - "Component: runner-universal" - - "Component: sdk-go" - - "Component: sdk-ideas" - - "Component: sdk-java-core" - - "Component: sdk-java-harness" - - "Component: sdk-py-core" - - "Component: sdk-py-harness" - - "Component: sdk-typescript" - - "Component: test-failures" - - "Component: testing" - - "Component: testing-nexmark" - - "Component: website" - validations: - required: true + - label: "Component: Python SDK" + - label: "Component: Java SDK" + - label: "Component: Go SDK" + - label: "Component: Typescript SDK" + - label: "Component: IO connector" + - label: "Component: Beam examples" + - label: "Component: Beam playground" + - label: "Component: Beam katas" + - label: "Component: Website" + - label: "Component: Spark Runner" + - label: "Component: Flink Runner" + - label: "Component: Samza Runner" + - label: "Component: Twister2 Runner" + - label: "Component: Hazelcast Jet Runner" + - label: "Component: Google Cloud Dataflow Runner" diff --git a/.github/ISSUE_TEMPLATE/task.yml b/.github/ISSUE_TEMPLATE/task.yml index 4e7d714fa8af..4fa1b241207d 100644 --- a/.github/ISSUE_TEMPLATE/task.yml +++ b/.github/ISSUE_TEMPLATE/task.yml @@ -42,122 +42,29 @@ body: label: Issue Priority description: What priority is this task? See https://beam.apache.org/contribute/issue-priorities for the meaning and expectations around issue priorities. options: - - "Priority: 3" - - "Priority: 2" - - "Priority: 1" + - "Priority: 3 (nice-to-have improvement)" + - "Priority: 2 (default / most normal work should be filed as P2)" + - "Priority: 1 (urgent / mostly reserved for critical bugs)" validations: required: true - - type: dropdown + - type: checkboxes id: component attributes: - label: Issue Component + label: Issue Components + description: Which languages, SDKs, or features are related to your report? (check all that apply) options: - - "Component: beam-community" - - "Component: beam-model" - - "Component: beam-playground" - - "Component: build-system" - - "Component: community-metrics" - - "Component: cross-language" - - "Component: dependencies" - - "Component: dsl-dataframe" - - "Component: dsl-euphoria" - - "Component: dsl-sql" - - "Component: dsl-sql-zetasql" - - "Component: examples-java" - - "Component: examples-python" - - "Component: extensions-ideas" - - "Component: extensions-java-gcp" - - "Component: extensions-java-join-library" - - "Component: extensions-java-json" - - "Component: extensions-java-kyro" - - "Component: extensions-java-protobuf" - - "Component: extensions-java-sketching" - - "Component: extensions-java-sorter" - - "Component: infrastructure" - - "Component: io-common" - - "Component: io-go-gcp" - - "Component: io-ideas" - - "Component: io-java-amqp" - - "Component: io-java-avro" - - "Component: io-java-aws" - - "Component: io-java-azure" - - "Component: io-java-cassandra" - - "Component: io-java-cdap" - - "Component: io-java-clickhouse" - - "Component: io-java-debezium" - - "Component: io-java-elasticsearch" - - "Component: io-java-files" - - "Component: io-java-gcp" - - "Component: io-java-hadoop-file-system" - - "Component: io-java-hadoop-format" - - "Component: io-java-hbase" - - "Component: io-java-hcatalog" - - "Component: io-java-healthcare" - - "Component: io-java-influxdb" - - "Component: io-java-jdbc" - - "Component: io-java-jms" - - "Component: io-java-kafka" - - "Component: io-java-kinesis" - - "Component: io-java-kudu" - - "Component: io-java-mongodb" - - "Component: io-java-mqtt" - - "Component: io-java-parquet" - - "Component: io-java-pulsar" - - "Component: io-java-rabbitmq" - - "Component: io-java-redis" - - "Component: io-java-snowflake" - - "Component: io-java-solr" - - "Component: io-java-splunk" - - "Component: io-java-text" - - "Component: io-java-tfrecord" - - "Component: io-java-tika" - - "Component: io-java-utilities" - - "Component: io-java-xml" - - "Component: io-py-avro" - - "Component: io-py-aws" - - "Component: io-py-common" - - "Component: io-py-files" - - "Component: io-py-gcp" - - "Component: io-py-hadoop" - - "Component: io-py-ideas" - - "Component: io-py-kafka" - - "Component: io-py-mongodb" - - "Component: io-py-parquet" - - "Component: io-py-tfrecord" - - "Component: io-py-vcf" - - "Component: java-fn-execution" - - "Component: katas" - - "Component: project-management" - - "Component: release" - - "Component: run-inference" - - "Component: runner-apex" - - "Component: runner-core" - - "Component: runner-dataflow" - - "Component: runner-direct" - - "Component: runner-flink" - - "Component: runner-gearpump" - - "Component: runner-ideas" - - "Component: runner-jet" - - "Component: runner-jstorm" - - "Component: runner-mapreduce" - - "Component: runner-py-direct" - - "Component: runner-py-interactive" - - "Component: runner-ray" - - "Component: runner-samza" - - "Component: runner-spark" - - "Component: runner-tez" - - "Component: runner-twister2" - - "Component: runner-universal" - - "Component: sdk-go" - - "Component: sdk-ideas" - - "Component: sdk-java-core" - - "Component: sdk-java-harness" - - "Component: sdk-py-core" - - "Component: sdk-py-harness" - - "Component: sdk-typescript" - - "Component: test-failures" - - "Component: testing" - - "Component: testing-nexmark" - - "Component: website" - validations: - required: true + - label: "Component: Python SDK" + - label: "Component: Java SDK" + - label: "Component: Go SDK" + - label: "Component: Typescript SDK" + - label: "Component: IO connector" + - label: "Component: Beam examples" + - label: "Component: Beam playground" + - label: "Component: Beam katas" + - label: "Component: Website" + - label: "Component: Spark Runner" + - label: "Component: Flink Runner" + - label: "Component: Samza Runner" + - label: "Component: Twister2 Runner" + - label: "Component: Hazelcast Jet Runner" + - label: "Component: Google Cloud Dataflow Runner" diff --git a/.github/PULL_REQUEST_TEMPLATE.md b/.github/PULL_REQUEST_TEMPLATE.md index c37cbabdb56c..04c1911a430a 100644 --- a/.github/PULL_REQUEST_TEMPLATE.md +++ b/.github/PULL_REQUEST_TEMPLATE.md @@ -4,7 +4,6 @@ Thank you for your contribution! Follow this checklist to help us incorporate your contribution quickly and easily: - - [ ] [**Choose reviewer(s)**](https://beam.apache.org/contribute/#make-your-change) and mention them in a comment (`R: @username`). - [ ] Mention the appropriate issue in your description (for example: `addresses #123`), if applicable. This will automatically add a link to the pull request in the issue. If you would like the issue to automatically close on merging the pull request, comment `fixes #` instead. - [ ] Update `CHANGES.md` with noteworthy changes. - [ ] If this contribution is large, please file an Apache [Individual Contributor License Agreement](https://www.apache.org/licenses/icla.pdf). diff --git a/.github/REVIEWERS.yml b/.github/REVIEWERS.yml index b620e63ead4e..db765b1ef9af 100644 --- a/.github/REVIEWERS.yml +++ b/.github/REVIEWERS.yml @@ -29,7 +29,8 @@ labels: - name: Python reviewers: - AnandInguva - - ryanthompson591 + - damccorm + - jrmccluskey - tvalentyn - pabloem exclusionList: [] @@ -38,7 +39,6 @@ labels: - lukecwik - kennknowles - robertwb - - kileys - apilloud exclusionList: [] - name: IO diff --git a/.github/actions/activate-service-account/action.yml b/.github/actions/activate-service-account/action.yml new file mode 100644 index 000000000000..6d365fab6c48 --- /dev/null +++ b/.github/actions/activate-service-account/action.yml @@ -0,0 +1,22 @@ +name: "Activate Service Account" +description: Setup a Service account with the key provided in base64 as an input +inputs: + GCP_SERVICE_ACCOUNT: + description: Service account to activate in base64 format + required: true + +runs: + using: composite + steps: + - name: Setup GCP account + env: + SA_KEY_CONTENT: ${{inputs.GCP_SERVICE_ACCOUNT}} + shell: bash + run: | + echo "$SA_KEY_CONTENT" | base64 -d > /tmp/gcp_access.json + gcloud auth activate-service-account --key-file="/tmp/gcp_access.json" --no-user-output-enabled + gcloud auth configure-docker -q --no-user-output-enabled >& /dev/null + - name: Removing Keyfile + if: ${{ always() }} + shell: bash + run: rm -f /tmp/gcp_access.json \ No newline at end of file diff --git a/.github/issue-rules.yml b/.github/issue-rules.yml index 9129fee43348..c26cb84bf6ba 100644 --- a/.github/issue-rules.yml +++ b/.github/issue-rules.yml @@ -26,330 +26,39 @@ rules: - valueFor: 'Priority' contains: '3' addLabels: ['P3'] -- valueFor: 'Component' - contains: 'beam-community' - addLabels: ['beam-community'] -- valueFor: 'Component' - contains: 'beam-model' - addLabels: ['beam-model'] -- valueFor: 'Component' - contains: 'beam-playground' - addLabels: ['beam-playground'] -- valueFor: 'Component' - contains: 'build-system' - addLabels: ['build'] -- valueFor: 'Component' - contains: 'community-metrics' - addLabels: ['community-metrics'] -- valueFor: 'Component' - contains: 'cross-language' - addLabels: ['cross-language'] -- valueFor: 'Component' - contains: 'dependencies' - addLabels: ['dependencies'] -- valueFor: 'Component' - contains: 'dsl-dataframe' - addLabels: ['dsl', 'dataframe'] -- valueFor: 'Component' - contains: 'dsl-euphoria' - addLabels: ['dsl', 'euphoria'] -- valueFor: 'Component' - contains: 'dsl-sql' - addLabels: ['dsl', 'sql'] -- valueFor: 'Component' - contains: 'dsl-sql-zetasql' - addLabels: ['dsl', 'sql', 'zetasql'] -- valueFor: 'Component' - contains: 'examples-java' - addLabels: ['examples', 'java'] -- valueFor: 'Component' - contains: 'examples-python' - addLabels: ['examples', 'python'] -- valueFor: 'Component' - contains: 'extensions-ideas' - addLabels: ['extensions', 'ideas'] -- valueFor: 'Component' - contains: 'extensions-java-gcp' - addLabels: ['extensions', 'java', 'gcp'] -- valueFor: 'Component' - contains: 'extensions-java-join-library' - addLabels: ['extensions', 'java', 'join-library'] -- valueFor: 'Component' - contains: 'extensions-java-json' - addLabels: ['extensions', 'java', 'json'] -- valueFor: 'Component' - contains: 'extensions-java-kyro' - addLabels: ['extensions', 'java', 'kyro'] -- valueFor: 'Component' - contains: 'extensions-java-protobuf' - addLabels: ['extensions', 'java', 'protobuf'] -- valueFor: 'Component' - contains: 'extensions-java-sketching' - addLabels: ['extensions', 'java', 'sketching'] -- valueFor: 'Component' - contains: 'extensions-java-sorter' - addLabels: ['extensions', 'java', 'sorter'] -- valueFor: 'Component' - contains: 'infrastructure' - addLabels: ['infra'] -- valueFor: 'Component' - contains: 'io-common' - addLabels: ['io'] -- valueFor: 'Component' - contains: 'io-go-gcp' - addLabels: ['io', 'go', 'gcp'] -- valueFor: 'Component' - contains: 'io-ideas' - addLabels: ['io', 'ideas'] -- valueFor: 'Component' - contains: 'io-java-amqp' - addLabels: ['io', 'java', 'amqp'] -- valueFor: 'Component' - contains: 'io-java-avro' - addLabels: ['io', 'java', 'avro'] -- valueFor: 'Component' - contains: 'io-java-aws' - addLabels: ['io', 'java', 'aws'] -- valueFor: 'Component' - contains: 'io-java-azure' - addLabels: ['io', 'java', 'azure'] -- valueFor: 'Component' - contains: 'io-java-cassandra' - addLabels: ['io', 'java', 'cassandra'] -- valueFor: 'Component' - contains: 'io-java-cdap' - addLabels: ['io', 'java', 'cdap'] -- valueFor: 'Component' - contains: 'io-java-clickhouse' - addLabels: ['io', 'java', 'clickhouse'] -- valueFor: 'Component' - contains: 'io-java-debezium' - addLabels: ['io', 'java', 'debezium'] -- valueFor: 'Component' - contains: 'io-java-elasticsearch' - addLabels: ['io', 'java', 'elasticsearch'] -- valueFor: 'Component' - contains: 'io-java-files' - addLabels: ['io', 'java', 'files'] -- valueFor: 'Component' - contains: 'io-java-gcp' - addLabels: ['io', 'java', 'gcp'] -- valueFor: 'Component' - contains: 'io-java-hadoop-file-system' - addLabels: ['io', 'java', 'hadoop-file-system'] -- valueFor: 'Component' - 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addLabels: ['runners', 'tez'] -- valueFor: 'Component' - contains: 'runner-twister2' - addLabels: ['runners', 'twister2'] -- valueFor: 'Component' - contains: 'runner-universal' - addLabels: ['runners', 'universal'] -- valueFor: 'Component' - contains: 'sdk-go' +- contains: '[x] Component: Java SDK' + addLabels: ['java'] +- contains: '[x] Component: Python SDK' + addLabels: ['python'] +- contains: '[x] Component: Go SDK' addLabels: ['go'] -- valueFor: 'Component' - contains: 'sdk-ideas' - addLabels: ['sdk-ideas'] -- valueFor: 'Component' - contains: 'sdk-java-core' - addLabels: ['java', 'core'] -- valueFor: 'Component' - contains: 'sdk-java-harness' - addLabels: ['java', 'harness'] -- valueFor: 'Component' - contains: 'sdk-py-core' - addLabels: ['python', 'core'] -- valueFor: 'Component' - contains: 'sdk-py-harness' - addLabels: ['python', 'harness'] -- valueFor: 'Component' - contains: 'sdk-typescript' +- contains: '[x] Component: Typescript SDK' addLabels: ['typescript'] -- valueFor: 'Component' - contains: 'test-failures' - addLabels: ['failing test'] -- valueFor: 'Component' - contains: 'testing' - addLabels: ['tests'] -- valueFor: 'Component' - contains: 'testing-nexmark' - addLabels: ['tests', 'nexmark'] -- valueFor: 'Component' - contains: 'website' +- contains: '[x] Component: IO' + addLabels: ['io'] +- contains: '[x] Component: Beam examples' + addLabels: ['examples'] +- contains: '[x] Component: Beam playground' + addLabels: ['playground'] +- contains: '[x] Component: katas' + addLabels: ['katas'] +- contains: '[x] Component: Website' addLabels: ['website'] +- contains: '[x] Component: Spark' + addLabels: ['spark'] +- contains: '[x] Component: Flink' + addLabels: ['flink'] +- contains: '[x] Component: Samza' + addLabels: ['samza'] +- contains: '[x] Component: Twister2' + addLabels: ['twister2'] +- contains: '[x] Component: Hazelcast' + addLabels: ['jet'] +- contains: '[x] Component: Google Cloud Dataflow Runner' + addLabels: ['dataflow'] - valueFor: 'Failure' contains: 'Test is flaky' - addLabels: ['flaky', 'tests'] + addLabels: ['flake', 'tests'] - valueFor: 'Failure' contains: 'Test is continually failing' addLabels: ['permared', 'failing test', 'tests'] diff --git a/.github/workflows/build_playground_backend.yml b/.github/workflows/build_playground_backend.yml index f9c161c934df..0eff0e4f3702 100644 --- a/.github/workflows/build_playground_backend.yml +++ b/.github/workflows/build_playground_backend.yml @@ -17,22 +17,21 @@ name: Build And Deploy Playground Backend Application on: push: - tags: 'v*' + tags: ['v*'] branches: ['master', 'release-*'] pull_request: paths: ['playground/backend/**'] branches: ['playground-staging'] workflow_dispatch: - # This allows a subsequently queued workflow run to interrupt previous runs concurrency: group: '${{ github.workflow }} @ ${{ github.event.pull_request.head.label || github.head_ref || github.ref }}' cancel-in-progress: true - + jobs: build_playground_backend_docker_image: name: Build Playground Backend App - runs-on: ubuntu-latest + runs-on: [self-hosted, ubuntu-20.04] env: GO_VERSION: 1.19.3 BEAM_VERSION: 2.40.0 @@ -42,17 +41,25 @@ jobs: steps: - name: Check out the repo uses: actions/checkout@v3 - - uses: actions/setup-java@v3.6.0 + - name: Set up Java + uses: actions/setup-java@v3.8.0 with: - distribution: 'zulu' - java-version: '8' + distribution: 'zulu' + java-version: '8' - uses: actions/setup-go@v3 with: - go-version: '${{ env.GO_VERSION }}' + go-version: '${{ env.GO_VERSION }}' + - name: Install dependencies + run: sudo apt update && sudo apt install libsnmp-dev -y - name: Remove default github maven configuration # This step is a workaround to avoid a decryption issue run: rm ~/.m2/settings.xml - + - name: Install sbt for running SCIO tests + run: | + echo "deb https://repo.scala-sbt.org/scalasbt/debian all main" | sudo tee /etc/apt/sources.list.d/sbt.list &&\ + echo "deb https://repo.scala-sbt.org/scalasbt/debian /" | sudo tee /etc/apt/sources.list.d/sbt_old.list &&\ + curl -sL "https://keyserver.ubuntu.com/pks/lookup?op=get&search=0x2EE0EA64E40A89B84B2DF73499E82A75642AC823" | sudo apt-key add + sudo apt-get update && sudo apt-get install -y sbt - name: Set up Cloud SDK and its components uses: google-github-actions/setup-gcloud@v0 with: diff --git a/.github/workflows/build_playground_frontend.yml b/.github/workflows/build_playground_frontend.yml index 62f29886c288..d2f64dfddb24 100644 --- a/.github/workflows/build_playground_frontend.yml +++ b/.github/workflows/build_playground_frontend.yml @@ -17,7 +17,7 @@ name: Build And Deploy Playground Frontend Application on: push: - tags: 'v*' + tags: ['v*'] branches: ['master', 'release-*'] pull_request: paths: ['playground/backend/**'] @@ -32,7 +32,7 @@ concurrency: jobs: build_playground_frontend_docker_image: name: Build Playground Frontend App - runs-on: ubuntu-latest + runs-on: [self-hosted, ubuntu-20.04] env: GO_VERSION: 1.18.0 BEAM_VERSION: 2.40.0 @@ -43,26 +43,27 @@ jobs: steps: - name: Check out the repo uses: actions/checkout@v3 - - uses: actions/setup-java@v3.6.0 + - name: Set up Java + uses: actions/setup-java@v3.8.0 with: - distribution: 'zulu' - java-version: '8' - - name: install flutter + distribution: 'zulu' + java-version: '8' + - name: Install Flutter run: | wget https://storage.googleapis.com/flutter_infra_release/releases/stable/linux/flutter_linux_$FLUTTER_VERSION-stable.tar.xz &&\ tar -xf flutter_linux_$FLUTTER_VERSION-stable.tar.xz &&\ - mv flutter /opt/ &&\ - ln -s /opt/flutter/bin/flutter /usr/local/bin/flutter &&\ - ln -s /opt/flutter/bin/dart /usr/local/bin/dart &&\ - dart pub global activate protoc_plugin &&\ - ln -s /root/.pub-cache/bin/protoc-gen-dart /usr/local/bin/ + sudo mv flutter /opt/ &&\ + sudo ln -s /opt/flutter/bin/flutter /usr/local/bin/flutter &&\ + sudo ln -s /opt/flutter/bin/dart /usr/local/bin/dart &&\ + sudo dart pub global activate protoc_plugin &&\ + sudo ln -s /root/.pub-cache/bin/protoc-gen-dart /usr/local/bin/ - name: Remove default github maven configuration # This step is a workaround to avoid a decryption issue - run: rm ~/.m2/settings.xml + run: sudo rm ~/.m2/settings.xml - name: install npm uses: actions/setup-node@v3 with: - node-version: '14' + node-version: '14' - name: install docker linter run: npm install -g dockerlint - name: lint dockerfile @@ -70,7 +71,7 @@ jobs: working-directory: playground/frontend - uses: hashicorp/setup-terraform@v1 with: - terraform_version: ${{ env.TERRAFORM_VERSION }} + terraform_version: ${{ env.TERRAFORM_VERSION }} if: startsWith(github.ref, 'ref/tags/') - name: Set Docker Tag run: echo "DOCKERTAG=${GITHUB_SHA}" >> $GITHUB_ENV diff --git a/.github/workflows/build_wheels.yml b/.github/workflows/build_wheels.yml index c52a58c36919..040146e12b11 100644 --- a/.github/workflows/build_wheels.yml +++ b/.github/workflows/build_wheels.yml @@ -42,12 +42,17 @@ env: jobs: - check_gcp_variables: + check_env_variables: timeout-minutes: 5 - name: "Check GCP variables" + name: "Check environment variables" runs-on: ubuntu-latest + env: + EVENT_NAME: ${{ github.event_name }} + PY_VERSIONS_FULL: "cp37-* cp38-* cp39-* cp310-*" outputs: gcp-variables-set: ${{ steps.check_gcp_variables.outputs.gcp-variables-set }} + py-versions-full: ${{ steps.set-py-versions.outputs.py-versions-full }} + py-versions-test: ${{ steps.set-py-versions.outputs.py-versions-test }} steps: - uses: actions/checkout@v3 - name: "Check are GCP variables set" @@ -60,6 +65,19 @@ jobs: GCP_PROJECT_ID: "not-needed-here" GCP_REGION: "not-needed-here" GCP_TESTING_BUCKET: "not-needed-here" + - name: Set Python Versions for different environments + id: set-py-versions + run: | + set -xeu + if [ $EVENT_NAME == "pull_request" ]; then + # run highest supported version on pull request. + echo "py-versions-test=${PY_VERSIONS_FULL##* }" >> $GITHUB_OUTPUT + else + # run full version for push and cron jobs. + echo "py-versions-test=$PY_VERSIONS_FULL" >> $GITHUB_OUTPUT + fi + # Output full set of versions so that we can test all languages on pull requests for certain platforms. + echo "py-versions-full=$PY_VERSIONS_FULL" >> $GITHUB_OUTPUT build_source: runs-on: ubuntu-latest @@ -170,9 +188,9 @@ jobs: name: Prepare GCS needs: - build_source - - check_gcp_variables + - check_env_variables runs-on: ubuntu-latest - if: needs.check_gcp_variables.outputs.gcp-variables-set == 'true' && github.event_name != 'pull_request' + if: needs.check_env_variables.outputs.gcp-variables-set == 'true' && github.event_name != 'pull_request' steps: - name: Authenticate on GCP uses: google-github-actions/setup-gcloud@v0 @@ -186,9 +204,9 @@ jobs: name: Upload python source distribution to GCS bucket needs: - prepare_gcs - - check_gcp_variables + - check_env_variables runs-on: ubuntu-latest - if: needs.check_gcp_variables.outputs.gcp-variables-set == 'true' + if: needs.check_env_variables.outputs.gcp-variables-set == 'true' steps: - name: Download compressed sources from artifacts uses: actions/download-artifact@v3 @@ -205,20 +223,22 @@ jobs: build_wheels: name: Build python wheels on ${{matrix.arch}} for ${{ matrix.os_python.os }} - needs: build_source + needs: + - check_env_variables + - build_source env: CIBW_ARCHS_LINUX: ${{matrix.arch}} runs-on: ${{ matrix.os_python.os }} strategy: matrix: os_python: [ - {"os": "ubuntu-latest", "python": "cp37-* cp38-* cp39-* cp310-*"}, - {"os": "macos-latest", "python": "cp37-* cp38-* cp39-* cp310-*"}, - {"os": "windows-latest", "python": "cp37-* cp38-* cp39-* cp310-*"}, + {"os": "ubuntu-latest", "python": "${{ needs.check_env_variables.outputs.py-versions-full }}" }, + {"os": "macos-latest", "python": "${{ needs.check_env_variables.outputs.py-versions-test }}" }, + {"os": "windows-latest", "python": "${{ needs.check_env_variables.outputs.py-versions-test }}" }, ] arch: [auto] include: - - os_python: {"os": "ubuntu-latest", "python": "cp37-* cp38-* cp39-* cp310-*"} + - os_python: {"os": "ubuntu-latest", "python": "${{ needs.check_env_variables.outputs.py-versions-test }}" } arch: aarch64 steps: - name: Download python source distribution from artifacts @@ -296,9 +316,9 @@ jobs: name: Upload wheels to GCS bucket needs: - build_wheels - - check_gcp_variables + - check_env_variables runs-on: ubuntu-latest - if: needs.check_gcp_variables.outputs.gcp-variables-set == 'true' && github.event_name != 'pull_request' + if: needs.check_env_variables.outputs.gcp-variables-set == 'true' && github.event_name != 'pull_request' strategy: matrix: os : [ubuntu-latest, macos-latest, windows-latest] @@ -340,9 +360,9 @@ jobs: name: List files on Google Cloud Storage Bucket needs: - upload_wheels_to_gcs - - check_gcp_variables + - check_env_variables runs-on: ubuntu-latest - if: needs.check_gcp_variables.outputs.gcp-variables-set == 'true' && github.event_name != 'pull_request' + if: needs.check_env_variables.outputs.gcp-variables-set == 'true' && github.event_name != 'pull_request' steps: - name: Authenticate on GCP uses: google-github-actions/setup-gcloud@v0 diff --git a/.github/workflows/choose_rc_commit.yml b/.github/workflows/choose_rc_commit.yml new file mode 100644 index 000000000000..d4de9d454a5c --- /dev/null +++ b/.github/workflows/choose_rc_commit.yml @@ -0,0 +1,98 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, +# software distributed under the License is distributed on an +# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +# KIND, either express or implied. See the License for the +# specific language governing permissions and limitations +# under the License. + +# This workflow will choose a commit to be the basis of a release candidate +## and push a new tagged commit for that RC. + +# To learn more about GitHub Actions in Apache Beam check the CI.md + +name: Choose RC Commit +on: + workflow_dispatch: + inputs: + RELEASE: + description: Beam version of current release (e.g. 2.XX.0) + required: true + RC: + description: Integer RC version for the release (e.g. 3 for RC3) + required: true + COMMIT: + description: Selected commit to create the release (should be full commit sha) + required: true + PUSH_TAG: + description: Push tag (yes/no) + required: false + default: no + OVERWRITE: + description: Overwrite RC Tag (yes/no) + required: false + default: no + DEBUG: + description: Debug enabled (yes/no) + required: false + default: no + +jobs: + choose_rc_commit: + runs-on: [self-hosted, ubuntu-20.04] + env: + RC_TAG: v${{ github.event.inputs.RELEASE }}-RC${{ github.event.inputs.RC }} + SCRIPT_DIR: ./release/src/main/scripts + DEBUG: "" + steps: + - name: Check out code + uses: actions/checkout@v3 + with: + ref: release-${{ github.event.inputs.RELEASE }} + - name: Set git config + run: | + git config user.name $GITHUB_ACTOR + git config user.email actions@"$RUNNER_NAME".local + - name: Enable debugging + if: ${{github.event.inputs.DEBUG == 'yes'}} + run: | + echo "DEBUG=--debug" >> $GITHUB_ENV + - name: Set version and commit + run: | + bash "${SCRIPT_DIR}/set_version.sh" "${{ github.event.inputs.RELEASE }}" --release \ + --git-add $DEBUG + # suppress warning about detached HEAD: we want it detached so we do not edit the branch + git checkout --quiet ${{ github.event.inputs.COMMIT }} + git commit -m "Set version for ${{ github.event.inputs.RELEASE }} RC${{ github.event.inputs.RC }}" + - name: Overwrite tag + run: | + if git rev-parse "$RC_TAG" >/dev/null 2>&1; then + if [[ "${{ github.event.inputs.OVERWRITE }}" == yes ]]; then + git push origin ":refs/tags/$RC_TAG" + else + echo "Tag $RC_TAG already exists. Either delete it manually or run with --overwrite. Do not overwrite if an RC has been built and shared!" + exit 1 + fi + fi + - name: Tag for Go SDK + # Go Modules defined in sub directories need to have a prefixed tag + # in order to get the matching version. + # See BEAM-13119 for context. + run: git tag -a "sdks/$RC_TAG" -m "Go SDK $RC_TAG" HEAD + - name: Primary tag for the repo + run: git tag -a -m "$RC_TAG" "$RC_TAG" HEAD + - name: Push tag + if: ${{github.event.inputs.PUSH_TAG == 'yes'}} + run: | + git push --follow-tags origin "sdks/$RC_TAG" + git push --follow-tags origin "$RC_TAG" + diff --git a/.github/workflows/cut_release_branch.yml b/.github/workflows/cut_release_branch.yml new file mode 100644 index 000000000000..e89b8da829c4 --- /dev/null +++ b/.github/workflows/cut_release_branch.yml @@ -0,0 +1,111 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, +# software distributed under the License is distributed on an +# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +# KIND, either express or implied. See the License for the +# specific language governing permissions and limitations +# under the License. + +# This workflow will update apache beam master branch with next release version +# and cut release branch for current development version. + +# To learn more about GitHub Actions in Apache Beam check the CI.md + +name: Cut Release Branch +on: + workflow_dispatch: + inputs: + RELEASE_VERSION: + description: Beam version of current release + required: true + NEXT_VERSION: + description: Next release version + required: true + +jobs: + update_master: + runs-on: [self-hosted, ubuntu-20.04] + env: + MASTER_BRANCH: master + NEXT_RELEASE: ${{ github.event.inputs.NEXT_VERSION }} + SCRIPT_DIR: ./release/src/main/scripts + steps: + - name: Validate Next Version + run: | + if [[ $NEXT_RELEASE =~ ([0-9]+\.[0-9]+\.[0-9]+) ]]; then + echo "NEXT_VERSION_IN_BASE_BRANCH=${BASH_REMATCH[1]}" >> $GITHUB_ENV + else + echo "The input for NEXT_RELEASE does not match a valid format [0-9]+\.[0-9]+\.[0-9]+" + exit 1 + fi + - name: Check out code + uses: actions/checkout@v3 + - name: Set git config + run: | + git config user.name $GITHUB_ACTOR + git config user.email actions@"$RUNNER_NAME".local + - name: Update master branch + run: | + bash "${SCRIPT_DIR}/set_version.sh" "${NEXT_VERSION_IN_BASE_BRANCH}" + echo "==============Update master branch as following================" + git diff + echo "===============================================================" + - name: Commit and Push to master branch files with Next Version + run: | + git add * + git commit -m "Moving to ${NEXT_VERSION_IN_BASE_BRANCH}-SNAPSHOT on master branch." + git push origin ${MASTER_BRANCH} + + update_release_branch: + needs: update_master + runs-on: [self-hosted, ubuntu-20.04] + env: + RELEASE: ${{ github.event.inputs.RELEASE_VERSION }} + steps: + - name: Validate Release Version + run: | + if [[ ${RELEASE} =~ ([0-9]+\.[0-9]+\.[0-9]+) ]]; then + echo "RELEASE_VERSION=${BASH_REMATCH[1]}" >> $GITHUB_ENV + echo "RELEASE_BRANCH=release-${RELEASE}" >> $GITHUB_ENV + else + echo "The input for RELEASE does not match a valid format [0-9]+\.[0-9]+\.[0-9]+" + exit 1 + fi + - name: Check out code + uses: actions/checkout@v3 + - name: Set git config + run: | + git config user.name $GITHUB_ACTOR + git config user.email actions@"$RUNNER_NAME".local + - name: Checkout to release branch + run: | + git checkout -b ${RELEASE_BRANCH} + echo "==================Current working branch=======================" + echo ${RELEASE_BRANCH} + echo "===============================================================" + - name: Update release version for dataflow runner + run: | + sed -i -e "s/'beam-master-.*'/'${RELEASE}'/g" \ + runners/google-cloud-dataflow-java/build.gradle + echo "===============Update release branch as following==============" + git diff + echo "===============================================================" + - name: Commit and Push to release branch + run: | + git add runners/google-cloud-dataflow-java/build.gradle + git commit -m "Set Dataflow container to release version." + git push --set-upstream origin ${RELEASE_BRANCH} + + + + + diff --git a/.github/workflows/git_tag_released_version.yml b/.github/workflows/git_tag_released_version.yml new file mode 100644 index 000000000000..37f2c390b7fe --- /dev/null +++ b/.github/workflows/git_tag_released_version.yml @@ -0,0 +1,54 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, +# software distributed under the License is distributed on an +# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +# KIND, either express or implied. See the License for the +# specific language governing permissions and limitations +# under the License. + +# This workflow will generate the released version tag and push it to the repository + +# To learn more about GitHub Actions in Apache Beam check the CI.md + +name: Git Tag Released Version +on: + workflow_dispatch: + inputs: + VERSION_TAG: + description: Beam Final Version Tag + required: true + RC_TAG: + description: Beam RC Tag + required: true + +jobs: + generate_tags: + runs-on: [self-hosted, ubuntu-20.04] + env: + VERSION_PATH: ${{ github.event.inputs.VERSION_TAG }} + steps: + - name: Check out code + uses: actions/checkout@v3 + - name: Set git config + run: | + git config user.name $GITHUB_ACTOR + git config user.email actions@"$RUNNER_NAME".local + - name: Tag for Go SDK + run: | + git tag -a sdks/${{ github.event.inputs.VERSION_TAG }} -m ${{ github.event.inputs.RC_TAG }} + git push https://github.com/apache/beam sdks/${{ github.event.inputs.VERSION_TAG }} + - name: Tag for repo root + run: | + git tag -a ${{ github.event.inputs.VERSION_TAG }} -m ${{ github.event.inputs.RC_TAG }} + git push https://github.com/apache/beam ${{ github.event.inputs.VERSION_TAG }} + + diff --git a/.github/workflows/go_tests.yml b/.github/workflows/go_tests.yml index 3233be40e401..4521c274e588 100644 --- a/.github/workflows/go_tests.yml +++ b/.github/workflows/go_tests.yml @@ -24,22 +24,22 @@ on: - cron: '10 2 * * *' push: branches: ['master', 'release-*'] - tags: 'v*' + tags: ['v*'] pull_request: branches: ['master', 'release-*'] - tags: 'v*' + tags: ['v*'] paths: ['sdks/go/pkg/**', 'sdks/go.mod', 'sdks/go.sum'] - # This allows a subsequently queued workflow run to interrupt previous runs concurrency: group: '${{ github.workflow }} @ ${{ github.event.pull_request.head.label || github.head_ref || github.ref }}' cancel-in-progress: true - jobs: build: - runs-on: ubuntu-latest + runs-on: [self-hosted, ubuntu-20.04] + name: Go Build steps: - - uses: actions/checkout@v3 + - name: Check out code + uses: actions/checkout@v3 with: fetch-depth: 2 - uses: actions/setup-go@v3 @@ -59,19 +59,9 @@ jobs: - name: Run vet run: | cd sdks/go/pkg/beam - VOUT=$(go vet --copylocks=false --unsafeptr=false ./...) - if [ -n "$VOUT" ]; then - echo -e "Run go vet and fix warnings before checking in changes\n" - echo -e "Vet Warnings:\n" - echo -e "$VOUT" && exit 1 - fi + go vet --copylocks=false --unsafeptr=false ./... - name: Run Staticcheck run: | go install "honnef.co/go/tools/cmd/staticcheck@2022.1" cd sdks/go/pkg/beam - RESULTS=$($(go env GOPATH)/bin/staticcheck ./...) - if [ -n "$RESULTS" ]; then - echo -e "Please address Staticcheck warnings before checking in changes\n" - echo -e "Staticcheck Warnings:\n" - echo -e "$RESULTS" && exit 1 - fi + $(go env GOPATH)/bin/staticcheck ./... diff --git a/.github/workflows/issue-tagger.yml b/.github/workflows/issue-tagger.yml index 39f92d87f788..7dbb4bf2d5d4 100644 --- a/.github/workflows/issue-tagger.yml +++ b/.github/workflows/issue-tagger.yml @@ -20,7 +20,7 @@ on: jobs: label: - runs-on: ubuntu-latest + runs-on: [self-hosted, ubuntu-20.04] permissions: issues: write steps: diff --git a/.github/workflows/java_tests.yml b/.github/workflows/java_tests.yml index 1a587e7b4919..d5eda7245218 100644 --- a/.github/workflows/java_tests.yml +++ b/.github/workflows/java_tests.yml @@ -18,38 +18,37 @@ # To learn more about GitHub Actions in Apache Beam check the CI.md name: Java Tests - on: workflow_dispatch: inputs: runDataflow: description: 'Type "true" if you want to run Dataflow tests (GCP variables must be configured, check CI.md)' - default: false + default: 'false' + required: false schedule: - cron: '10 2 * * *' push: branches: ['master', 'release-*'] - tags: 'v*' + tags: ['v*'] pull_request: branches: ['master', 'release-*'] - tags: 'v*' + tags: ['v*'] paths: ['sdks/java/**', 'model/**', 'runners/**', 'examples/java/**', 'examples/kotlin/**', 'release/**', 'buildSrc/**'] - # This allows a subsequently queued workflow run to interrupt previous runs concurrency: group: '${{ github.workflow }} @ ${{ github.event.pull_request.head.label || github.head_ref || github.ref }}' cancel-in-progress: true - jobs: check_gcp_variables: timeout-minutes: 5 name: "Check GCP variables set" - runs-on: ubuntu-latest + runs-on: [self-hosted, ubuntu-20.04] outputs: gcp-variables-set: ${{ steps.check_gcp_variables.outputs.gcp-variables-set }} steps: - - uses: actions/checkout@v3 + - name: Check out code + uses: actions/checkout@v3 - name: "Check are GCP variables set" run: "./scripts/ci/ci_check_are_gcp_variables_set.sh" id: check_gcp_variables @@ -67,14 +66,24 @@ jobs: strategy: fail-fast: false matrix: - os: [ubuntu-latest, macos-latest, windows-latest] + os: [[self-hosted, ubuntu-20.04], macos-latest, [self-hosted, windows-server-2019]] steps: - - name: Checkout code + - name: Check out code uses: actions/checkout@v3 with: persist-credentials: false submodules: recursive - # :sdks:java:core:test + - name: Setup self-hosted + uses: ./.github/actions/setup-self-hosted-action + with: + requires-py-38: false + requires-py-39: false + - name: Remove default github maven configuration + # This step is a workaround to avoid a decryption issue of Beam's + # net.linguica.gradle.maven.settings plugin and github's provided maven + # settings.xml file + run: rm ~/.m2/settings.xml + # :sdks:java:core:test - name: Run :sdks:java:core:test uses: ./.github/actions/gradle-command-action with: @@ -116,17 +125,24 @@ jobs: strategy: fail-fast: false matrix: - os: [ubuntu-latest, macos-latest, windows-latest] + os: [[self-hosted, ubuntu-20.04], macos-latest, [self-hosted, windows-server-2019]] steps: - - name: Checkout code + - name: Check out code uses: actions/checkout@v3 with: persist-credentials: false submodules: recursive - - name: Install go - uses: actions/setup-go@v3 + - name: Setup self-hosted + uses: ./.github/actions/setup-self-hosted-action with: - go-version: '1.16.12' + requires-py-38: false + requires-py-39: false + + - name: Remove default github maven configuration + # This step is a workaround to avoid a decryption issue of Beam's + # net.linguica.gradle.maven.settings plugin and github's provided maven + # settings.xml file + run: rm ~/.m2/settings.xml - name: Run WordCount Unix uses: ./.github/actions/gradle-command-action with: @@ -145,25 +161,26 @@ jobs: needs: - check_gcp_variables runs-on: ${{ matrix.os }} + strategy: + fail-fast: false + matrix: + os: [[self-hosted, ubuntu-20.04],[self-hosted, windows-server-2019]] if: | needs.check_gcp_variables.outputs.gcp-variables-set == 'true' && ( (github.event_name == 'push' || github.event_name == 'schedule') || (github.event_name == 'workflow_dispatch' && github.event.inputs.runDataflow == 'true') ) - strategy: - fail-fast: false - matrix: - os: [ubuntu-latest, macos-latest, windows-latest] steps: - - name: Checkout code + - name: Check out code uses: actions/checkout@v3 with: persist-credentials: false submodules: recursive - - name: Install go - uses: actions/setup-go@v3 - with: - go-version: '1.16.12' + - name: Setup self-hosted + uses: ./.github/actions/setup-self-hosted-action + with: + requires-py-38: false + requires-py-39: false - name: Authenticate on GCP uses: google-github-actions/setup-gcloud@v0 with: @@ -171,11 +188,6 @@ jobs: service_account_key: ${{ secrets.GCP_SA_KEY }} project_id: ${{ secrets.GCP_PROJECT_ID }} export_default_credentials: true - - name: Set Java Version - uses: actions/setup-java@v3.6.0 - with: - distribution: 'zulu' - java-version: 8 - name: Remove default github maven configuration # This step is a workaround to avoid a decryption issue of Beam's # gradle-command-action plugin and github's provided maven @@ -192,4 +204,4 @@ jobs: if: always() with: name: java_wordcount_dataflow-${{matrix.os}} - path: examples/java/build/reports/tests/integrationTest + path: examples/java/build/reports/tests/integrationTest \ No newline at end of file diff --git a/.github/workflows/label_prs.yml b/.github/workflows/label_prs.yml index 2515186bdcf3..02e2207e39a0 100644 --- a/.github/workflows/label_prs.yml +++ b/.github/workflows/label_prs.yml @@ -18,15 +18,13 @@ name: LabelPrs on: [pull_request_target] - +permissions: read-all jobs: label: - - runs-on: ubuntu-latest + runs-on: [self-hosted, ubuntu-20.04] permissions: contents: read pull-requests: write - steps: - uses: actions/labeler@v4 with: diff --git a/.github/workflows/local_env_tests.yml b/.github/workflows/local_env_tests.yml index 9c0be264819c..32edd5e5a2fd 100644 --- a/.github/workflows/local_env_tests.yml +++ b/.github/workflows/local_env_tests.yml @@ -26,7 +26,8 @@ on: pull_request: branches: ['master', 'release-*'] tags: 'v*' - paths: ['dev-support/**', 'buildSrc/**', '**/build.gradle', 'sdks/python/setup.py', 'sdks/python/tox.ini'] + paths: ['dev-support/**', 'buildSrc/**', '**/build.gradle', 'sdks/python/setup.py', 'sdks/python/tox.ini', 'local-env-setup.sh'] + workflow_dispatch: # This allows a subsequently queued workflow run to interrupt previous runs concurrency: @@ -43,6 +44,9 @@ jobs: - uses: actions/setup-go@v3 with: go-version: '1.19' + - uses: actions/setup-python@v4 + with: + python-version: '3.8' - name: "Installing local env dependencies" run: "sudo ./local-env-setup.sh" id: local_env_install_ubuntu @@ -58,6 +62,9 @@ jobs: - uses: actions/setup-go@v3 with: go-version: '1.19' + - uses: actions/setup-python@v4 + with: + python-version: '3.8' - name: "Installing local env dependencies" run: "./local-env-setup.sh" id: local_env_install_mac diff --git a/.github/workflows/playground_deploy_backend.yml b/.github/workflows/playground_deploy_backend.yml index 4aa0fd294931..147e4b781f7e 100644 --- a/.github/workflows/playground_deploy_backend.yml +++ b/.github/workflows/playground_deploy_backend.yml @@ -42,7 +42,7 @@ jobs: steps: - name: Check out the repo uses: actions/checkout@v3 - - uses: actions/setup-java@v3 + - uses: actions/setup-java@v3.8.0 with: distribution: 'zulu' java-version: '8' diff --git a/.github/workflows/playground_deploy_examples.yml b/.github/workflows/playground_deploy_examples.yml index 8e69a7cfbc18..cede42c8f886 100644 --- a/.github/workflows/playground_deploy_examples.yml +++ b/.github/workflows/playground_deploy_examples.yml @@ -78,7 +78,7 @@ jobs: - uses: actions/setup-python@v4 with: python-version: '3.8' - - uses: actions/setup-java@v3.6.0 + - uses: actions/setup-java@v3.8.0 with: distribution: 'zulu' java-version: '8' @@ -156,41 +156,41 @@ jobs: K8S_SERVER_ADDRESS=$(kubectl get svc -n $K8S_NAMESPACE -l "app=service-python" -o jsonpath='{.items[0].status.loadBalancer.ingress[0].ip}') echo $K8S_SERVER_ADDRESS export SERVER_ADDRESS="$K8S_SERVER_ADDRESS:8081" - python3 ci_cd.py --step CI --sdk SDK_PYTHON --origin $ORIGIN --subdirs $SUBDIRS + python3 ci_cd.py --datastore-project $GOOGLE_CLOUD_PROJECT --step CI --sdk SDK_PYTHON --origin $ORIGIN --subdirs $SUBDIRS working-directory: playground/infrastructure - name: Run Python Examples CD run: | K8S_SERVER_ADDRESS=$(kubectl get svc -n $K8S_NAMESPACE -l "app=service-python" -o jsonpath='{.items[0].status.loadBalancer.ingress[0].ip}') export SERVER_ADDRESS="$K8S_SERVER_ADDRESS:8081" - python3 ci_cd.py --step CD --sdk SDK_PYTHON --origin $ORIGIN --subdirs $SUBDIRS + python3 ci_cd.py --datastore-project $GOOGLE_CLOUD_PROJECT --step CD --sdk SDK_PYTHON --origin $ORIGIN --subdirs $SUBDIRS working-directory: playground/infrastructure - name: Run Go Examples CI run: | K8S_SERVER_ADDRESS=$(kubectl get svc -n $K8S_NAMESPACE -l "app=service-go" -o jsonpath='{.items[0].status.loadBalancer.ingress[0].ip}') export SERVER_ADDRESS="$K8S_SERVER_ADDRESS:8082" - python3 ci_cd.py --step CI --sdk SDK_GO --origin $ORIGIN --subdirs $SUBDIRS + python3 ci_cd.py --datastore-project $GOOGLE_CLOUD_PROJECT --step CI --sdk SDK_GO --origin $ORIGIN --subdirs $SUBDIRS working-directory: playground/infrastructure - name: Run Go Examples CD run: | K8S_SERVER_ADDRESS=$(kubectl get svc -n $K8S_NAMESPACE -l "app=service-go" -o jsonpath='{.items[0].status.loadBalancer.ingress[0].ip}') export SERVER_ADDRESS="$K8S_SERVER_ADDRESS:8082" - python3 ci_cd.py --step CD --sdk SDK_GO --origin $ORIGIN --subdirs $SUBDIRS + python3 ci_cd.py --datastore-project $GOOGLE_CLOUD_PROJECT --step CD --sdk SDK_GO --origin $ORIGIN --subdirs $SUBDIRS working-directory: playground/infrastructure - name: Run Java Examples CI run: | K8S_SERVER_ADDRESS=$(kubectl get svc -n $K8S_NAMESPACE -l "app=service-java" -o jsonpath='{.items[0].status.loadBalancer.ingress[0].ip}') export SERVER_ADDRESS="$K8S_SERVER_ADDRESS:8080" - python3 ci_cd.py --step CI --sdk SDK_JAVA --origin $ORIGIN --subdirs $SUBDIRS + python3 ci_cd.py --datastore-project $GOOGLE_CLOUD_PROJECT --step CI --sdk SDK_JAVA --origin $ORIGIN --subdirs $SUBDIRS working-directory: playground/infrastructure - name: Run Java Examples CD run: | K8S_SERVER_ADDRESS=$(kubectl get svc -n $K8S_NAMESPACE -l "app=service-java" -o jsonpath='{.items[0].status.loadBalancer.ingress[0].ip}') export SERVER_ADDRESS="$K8S_SERVER_ADDRESS:8080" - python3 ci_cd.py --step CD --sdk SDK_JAVA --origin $ORIGIN --subdirs $SUBDIRS + python3 ci_cd.py --datastore-project $GOOGLE_CLOUD_PROJECT --step CD --sdk SDK_JAVA --origin $ORIGIN --subdirs $SUBDIRS working-directory: playground/infrastructure - name: Delete Helm Chart if: always() diff --git a/.github/workflows/playground_examples_cd_reusable.yml b/.github/workflows/playground_examples_cd_reusable.yml index 250143540be4..4c5b42e70e29 100644 --- a/.github/workflows/playground_examples_cd_reusable.yml +++ b/.github/workflows/playground_examples_cd_reusable.yml @@ -62,6 +62,7 @@ jobs: - name: Run ci_cd.py run: | python3 ci_cd.py \ + --datastore-project $GOOGLE_CLOUD_PROJECT \ --step $STEP \ --sdk SDK_${SDK^^} \ --origin $ORIGIN \ diff --git a/.github/workflows/playground_examples_ci.yml b/.github/workflows/playground_examples_ci.yml index 629554f5bdcb..2dbd6a8835bf 100644 --- a/.github/workflows/playground_examples_ci.yml +++ b/.github/workflows/playground_examples_ci.yml @@ -34,7 +34,7 @@ jobs: check: strategy: matrix: - sdk: ["python", "java", "go"] + sdk: ["java", "python", "go"] # run sequentially max-parallel: 1 uses: ./.github/workflows/playground_examples_ci_reusable.yml diff --git a/.github/workflows/playground_examples_ci_reusable.yml b/.github/workflows/playground_examples_ci_reusable.yml index d00ecd3b5bdc..7c5f039c3488 100644 --- a/.github/workflows/playground_examples_ci_reusable.yml +++ b/.github/workflows/playground_examples_ci_reusable.yml @@ -34,7 +34,7 @@ on: type: string required: true env: - BEAM_VERSION: 2.42.0 + BEAM_VERSION: 2.43.0 jobs: check_has_examples: name: pre-check @@ -54,6 +54,10 @@ jobs: - name: install deps run: pip install -r requirements.txt working-directory: playground/infrastructure + - name: pytest + run: pytest + working-directory: playground/infrastructure + - name: get Difference id: check_file_changed run: | @@ -64,7 +68,7 @@ jobs: BASE_REF=origin/master fi DIFF=$(git diff --name-only $BASE_REF $GITHUB_SHA | tr '\n' ' ') - echo "::set-output name=example_diff::$DIFF" + echo "example_diff=$DIFF" >> $GITHUB_OUTPUT - id: check_has_example name: has Examples run: | @@ -75,14 +79,19 @@ jobs: --sdk SDK_${SDK^^} \ --allowlist ${{ inputs.allowlist }} \ --paths ${{ steps.check_file_changed.outputs.example_diff }} - if [ $? -eq 0 ]; then - echo "::set-output name=example_has_changed::True" + CODE=$? + if [ $CODE -eq 0 ]; then + echo "example_has_changed=True" >> $GITHUB_OUTPUT + elif [ $CODE -eq 11 ]; then + echo "example_has_changed=False" >> $GITHUB_OUTPUT else - echo "::set-output name=example_has_changed::False" + echo "checker is broken" + exit 1 fi working-directory: playground/infrastructure env: BEAM_ROOT_DIR: "../.." + BEAM_EXAMPLE_CATEGORIES: "../categories.yaml" ci_cd: name: ${{ inputs.step }} ${{ inputs.sdk }} ${{ inputs.origin }} @@ -97,13 +106,15 @@ jobs: steps: - name: Check out the repo uses: actions/checkout@v3 + - uses: actions/setup-python@v4 with: python-version: '3.8' - - uses: actions/setup-java@v3.6.0 + - uses: actions/setup-java@v3.8.0 with: distribution: 'zulu' java-version: '8' + - name: install deps run: pip install -r requirements.txt working-directory: playground/infrastructure @@ -141,6 +152,10 @@ jobs: if [ -n "$SDK_TAG" ]; then opts="$opts -Psdk-tag=$SDK_TAG" fi + if [ "$SDK" == "java" ]; then + # Java uses a fixed BEAM_VERSION + opts="$opts -Pbase-image=apache/beam_java8_sdk:$BEAM_VERSION" + fi # by default (w/o -Psdk-tag) runner uses BEAM from local ./sdks # TODO Java SDK doesn't, it uses 2.42.0, fix this diff --git a/.github/workflows/pr-bot-new-prs.yml b/.github/workflows/pr-bot-new-prs.yml index 68bdd418549f..b511367e672d 100644 --- a/.github/workflows/pr-bot-new-prs.yml +++ b/.github/workflows/pr-bot-new-prs.yml @@ -31,13 +31,16 @@ jobs: statuses: read # Don't run on forks if: github.repository == 'apache/beam' - runs-on: ubuntu-latest - + runs-on: [self-hosted, ubuntu-20.04] steps: - uses: actions/checkout@v3 - - run: npm ci + - name: Setup Node + uses: actions/setup-node@v3 + with: + node-version: 16 + - name: Install pr-bot npm dependencies + run: npm ci working-directory: 'scripts/ci/pr-bot' - # Runs a set of commands using the runners shell - run: npm run processNewPrs env: diff --git a/.github/workflows/pr-bot-pr-updates.yml b/.github/workflows/pr-bot-pr-updates.yml index 21ee18d41fce..01e6a31673cb 100644 --- a/.github/workflows/pr-bot-pr-updates.yml +++ b/.github/workflows/pr-bot-pr-updates.yml @@ -14,12 +14,11 @@ # limitations under the License. name: pr-bot-pr-updates - on: pull_request_target: types: ["synchronize"] # Synchronize is the action that runs after pushes to the user branch issue_comment: - +permissions: read-all jobs: process-pr-update: # Give GITHUB_TOKEN permissions to write pull request comments and to the state branch, and read PR related info @@ -32,16 +31,20 @@ jobs: # Don't run on forks if: github.repository == 'apache/beam' - runs-on: ubuntu-latest + runs-on: [self-hosted, ubuntu-20.04] steps: # Pin to master so users can't do anything malicious on their own branch and run it here. - uses: actions/checkout@v3 with: ref: 'master' - - run: npm ci + - name: Setup Node + uses: actions/setup-node@v3 + with: + node-version: 16 + - name: Install pr-bot npm dependencies + run: npm ci working-directory: 'scripts/ci/pr-bot' - # Runs a set of commands using the runners shell - run: npm run processPrUpdate env: diff --git a/.github/workflows/pr-bot-prs-needing-attention.yml b/.github/workflows/pr-bot-prs-needing-attention.yml index 27dc3d5854ae..dd7e47fd4879 100644 --- a/.github/workflows/pr-bot-prs-needing-attention.yml +++ b/.github/workflows/pr-bot-prs-needing-attention.yml @@ -31,13 +31,16 @@ jobs: statuses: read # Don't run on forks if: github.repository == 'apache/beam' - runs-on: ubuntu-latest - + runs-on: [self-hosted, ubuntu-20.04] steps: - uses: actions/checkout@v3 - - run: npm ci + - name: Setup Node + uses: actions/setup-node@v3 + with: + node-version: 16 + - name: Install pr-bot npm dependencies + run: npm ci working-directory: 'scripts/ci/pr-bot' - # Runs a set of commands using the runners shell - run: npm run findPrsNeedingAttention env: diff --git a/.github/workflows/pr-bot-update-reviewers.yml b/.github/workflows/pr-bot-update-reviewers.yml index 924838f5de57..f3d343b12fb9 100644 --- a/.github/workflows/pr-bot-update-reviewers.yml +++ b/.github/workflows/pr-bot-update-reviewers.yml @@ -31,13 +31,16 @@ jobs: statuses: read # Don't run on forks if: github.repository == 'apache/beam' - runs-on: ubuntu-latest - + runs-on: [self-hosted, ubuntu-20.04] steps: - uses: actions/checkout@v3 - - run: npm ci + - name: Setup Node + uses: actions/setup-node@v3 + with: + node-version: 16 + - name: Install pr-bot npm dependencies + run: npm ci working-directory: 'scripts/ci/pr-bot' - # Runs a set of commands using the runners shell - run: npm run updateReviewers env: diff --git a/.github/workflows/publish_github_release_notes.yml b/.github/workflows/publish_github_release_notes.yml new file mode 100644 index 000000000000..c8569ab4fc58 --- /dev/null +++ b/.github/workflows/publish_github_release_notes.yml @@ -0,0 +1,79 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, +# software distributed under the License is distributed on an +# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +# KIND, either express or implied. See the License for the +# specific language governing permissions and limitations +# under the License. + +# This workflow will take the release notes from +# /website/www/site/content/en/blog/beam-${RELEASE_VERSION}.md" +# and updated in beam repo. + +name: Publish Github Release Notes + +on: + workflow_dispatch: + inputs: + RELEASE_VERSION: + description: Release Version to update notes into beam repo + required: true +permissions: read-all + +jobs: + set-properties: + runs-on: [self-hosted, ubuntu-20.04] + outputs: + properties: ${{ steps.test-properties.outputs.properties }} + steps: + - name: Checkout code + uses: actions/checkout@v3 + - id: test-properties + uses: ./.github/actions/setup-default-test-properties + + publish_github_release_notes: + runs-on: [self-hosted, ubuntu-20.04] + needs: set-properties + env: + GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} + RELEASE_VERSION: ${{ github.event.inputs.RELEASE_VERSION}} + name: Publish Github Release Notes + steps: + - name: Checkout code + uses: actions/checkout@v3 + - name: Publish github release notes + run: | + POST_PATH="website/www/site/content/en/blog/beam-${{env.RELEASE_VERSION}}.md" + RELEASE_NOTES=$( + cat ${POST_PATH} | # Read post's content + sed -n '/.*//g;/ +# [2.45.0] - Unreleased + +## Highlights + +* New highly anticipated feature X added to Python SDK ([#X](https://github.com/apache/beam/issues/X)). +* New highly anticipated feature Y added to Java SDK ([#Y](https://github.com/apache/beam/issues/Y)). + +## I/Os + +* Support for X source added (Java/Python) ([#X](https://github.com/apache/beam/issues/X)). +* MongoDB IO connector added (Go) ([#24575](https://github.com/apache/beam/issues/24575)). + +## New Features / Improvements + +* RunInference Wrapper with Sklearn Model Handler support added in Go SDK ([#24497](https://github.com/apache/beam/issues/23382)). +* X feature added (Java/Python) ([#X](https://github.com/apache/beam/issues/X)). +* Adding override of allowed TLS algorithms (Java), now maintaining the disabled/legacy algorithms + present in 2.43.0 (up to 1.8.0_342, 11.0.16, 17.0.2 for respective Java versions). This is accompanied + by an explicit re-enabling of TLSv1 and TLSv1.1 for Java 8 and Java 11. +* Add UDF metrics support for Samza portable mode. + +## Breaking Changes + +* Portable Java pipelines, Go pipelines, Python streaming pipelines, and portable Python batch + pipelines on Dataflow are required to use Runner V2. The `disable_runner_v2`, + `disable_runner_v2_until_2023`, `disable_prime_runner_v2` experiments will raise an error during + pipeline construction. You can no longer specify the Dataflow worker jar override. Note that + non-portable Java jobs and non-portable Python batch jobs are not impacted. ([#24515](https://github.com/apache/beam/issues/24515)). + +## Deprecations + +* X behavior is deprecated and will be removed in X versions ([#X](https://github.com/apache/beam/issues/X)). + +## Bugfixes + +* Avoids Cassandra syntax error when user-defined query has no where clause in it (Java) ([#24829](https://github.com/apache/beam/issues/24829)). +* Fixed JDBC connection failures (Java) during handshake due to deprecated TLSv1(.1) protocol for the JDK. ([#24623](https://github.com/apache/beam/issues/24623)) +* Fixed Python BigQuery Batch Load write may truncate valid data when deposition sets to WRITE_TRUNCATE and incoming data is large (Python) ([#24623](https://github.com/apache/beam/issues/24535)). + +## Known Issues + +* ([#X](https://github.com/apache/beam/issues/X)). -# [2.44.0] - Unreleased +# [2.44.0] - 2023-01-12 ## Highlights @@ -72,6 +115,8 @@ (Python) ([#23684](https://github.com/apache/beam/pull/23684)). * Pipeline Resource Hints now supported via `--resource_hints` flag (Go) ([#23990](https://github.com/apache/beam/pull/23990)). * Make Python SDK containers reusable on portable runners by installing dependencies to temporary venvs ([BEAM-12792](https://issues.apache.org/jira/browse/BEAM-12792)). +* RunInference model handlers now support the specification of a custom inference function in Python ([#22572](https://github.com/apache/beam/issues/22572)) +* Support for `map_windows` urn added to Go SDK ([#24307](https://github.apache/beam/pull/24307)). ## Breaking Changes @@ -83,6 +128,8 @@ TextIO) and will now need to declare the dependency. * `beam-sdks-java-core` is no longer a dependency of the Java SDK Harness. Users of a portable runner (such as Dataflow Runner v2) will need to provide this package and its dependencies. +* Slices now use the Beam Iterable Coder. This enables cross language use, but breaks pipeline updates + if a Slice type is used as a PCollection element or State API element. (Go)[#24339](https://github.com/apache/beam/issues/24339) ## Deprecations @@ -106,7 +153,7 @@ * Decreased TextSource CPU utilization by 2.3x (Java) ([#23193](https://github.com/apache/beam/issues/23193)). * Fixed bug when using SpannerIO with RuntimeValueProvider options (Java) ([#22146](https://github.com/apache/beam/issues/22146)). -* Fixed issue for unicode rendering on WriteToBigQuery ([#10785](https://github.com/apache/beam/issues/10785)) +* Fixed issue for unicode rendering on WriteToBigQuery ([#22312](https://github.com/apache/beam/issues/22312)) * Remove obsolete variants of BigQuery Read and Write, always using Beam-native variant ([#23564](https://github.com/apache/beam/issues/23564) and [#23559](https://github.com/apache/beam/issues/23559)). * Bumped google-cloud-spanner dependency version to 3.x for Python SDK ([#21198](https://github.com/apache/beam/issues/21198)). diff --git a/CI.md b/CI.md index cb26171654b2..0b6075c24d5b 100644 --- a/CI.md +++ b/CI.md @@ -127,12 +127,35 @@ Service Account shall have following permissions ([IAM roles](https://cloud.goog ### Release Preparation and Validation Workflows +#### Start Snapshot Build - [start_snapshot_build.yml](.github/workflows/start_snapshot_build.yml) +| Job | Description | Pull Request Run | Direct Push/Merge Run | Scheduled Run | Requires GCP Credentials | +|-----------------------|-------------------------------------------------------------------------|------------------|-----------------------|---------------|--------------------------| +| Start Snapshot Build | Creates PR against apache:master and triggers a job to build a snapshot | No | No | No | No | + +#### Choose RC Commit - [choose_rc_commit.yml](.github/workflows/choose_rc_commit.yml) + +| Job | Description | Pull Request Run | Direct Push/Merge Run | Scheduled Run | Requires GCP Credentials | +|------------------|-----------------------------------------------------------------------------------------------------|------------------|-----------------------|---------------|--------------------------| +| Choose RC Commit | Chooses a commit to be the basis of a release candidate and pushes a new tagged commit for that RC. | No | No | No | No | + +#### Cut Release Branch - [verify_release_build.yml](.github/workflows/cut_release_branch.yml) +| Job | Description | Pull Request Run | Direct Push/Merge Run | Scheduled Run | Requires GCP Credentials | +|-----------------------|------------------------------------------------------------|------------------|-----------------------|---------------|--------------------------| +| Update Master | Update Apache Beam master branch with next release version | No | No | No | No | +| Update Release Branch | Cut release branch for current development version | No | No | No | No | + #### Verify Release Build - [verify_release_build.yml](.github/workflows/verify_release_build.yml) | Job | Description | Pull Request Run | Direct Push/Merge Run | Scheduled Run | Requires GCP Credentials | |------------------------------|-----------------------------------------------------------------------------------------------|------------------|-----------------------|---------------|--------------------------| | Verify Release Build | Verifies full life cycle of Gradle Build and all PostCommit/PreCommit tests against Release Branch on CI. | No | No | No | No | +#### Git tag Release Version - [git_tag_released_version.yml](.github/workflows/git_tag_released_version.yml) + +| Job | Description | Pull Request Run | Direct Push/Merge Run | Scheduled Run | Requires GCP Credentials | +|---------------------------------|----------------------------------------------------------------------------------------------------------------|------------------|-----------------------|---------------|--------------------------| +| Git Tag Release Version | Create and push a new tag for the released version by copying the tag for the final release candidate. | No | No | No | No | + #### Run RC Validation - [run_rc_validation.yml](.github/workflows/run_rc_validation.yml) | Job | Description | Pull Request Run | Direct Push/Merge Run | Scheduled Run | Requires GCP Credentials | diff --git a/build.gradle.kts b/build.gradle.kts index db571d616c6b..b70d8591bf83 100644 --- a/build.gradle.kts +++ b/build.gradle.kts @@ -117,12 +117,21 @@ tasks.rat { // Tour Of Beam backend autogenerated Datastore indexes "learning/tour-of-beam/backend/internal/storage/index.yaml", - + // Tour Of Beam backend autogenerated Playground GRPC API stubs and mocks "learning/tour-of-beam/backend/playground_api/api.pb.go", "learning/tour-of-beam/backend/playground_api/api_grpc.pb.go", "learning/tour-of-beam/backend/playground_api/mock.go", + // Playground backend autogenerated GRPC API stubs and mocks + "playground/backend/internal/api/v1/api.pb.go", + "playground/backend/internal/api/v1/api_grpc.pb.go", + + // Playground infrastructure autogenerated GRPC API stubs and mocks + "playground/infrastructure/api/v1/api_pb2.py", + "playground/infrastructure/api/v1/api_pb2.pyi", + "playground/infrastructure/api/v1/api_pb2_grpc.py", + // test p8 file for SnowflakeIO "sdks/java/io/snowflake/src/test/resources/invalid_test_rsa_key.p8", "sdks/java/io/snowflake/src/test/resources/valid_encrypted_test_rsa_key.p8", @@ -164,6 +173,7 @@ tasks.rat { "learning/tour-of-beam/frontend/**/*.gen.dart", "learning/tour-of-beam/frontend/.metadata", "learning/tour-of-beam/frontend/pubspec.lock", + "learning/tour-of-beam/frontend/lib/firebase_options.dart", // Ignore .gitkeep file "**/.gitkeep", @@ -208,9 +218,97 @@ tasks.register("javaPreCommit") { dependsOn(":model:pipeline:build") dependsOn(":model:job-management:build") dependsOn(":model:fn-execution:build") - dependsOn(":runners:google-cloud-dataflow-java:worker:legacy-worker:build") + dependsOn(":runners:google-cloud-dataflow-java:worker:build") dependsOn(":sdks:java:core:buildNeeded") - dependsOn(":sdks:java:core:buildDependents") + + // Inline :sdks:java:core:buildDependents so we can carve out pieces at a time + dependsOn(":beam-validate-runner:build") + dependsOn(":examples:java:build") + dependsOn(":examples:java:twitter:build") + dependsOn(":examples:kotlin:build") + dependsOn(":examples:multi-language:build") + dependsOn(":model:fn-execution:build") + dependsOn(":model:job-management:build") + dependsOn(":model:pipeline:build") + dependsOn(":runners:core-construction-java:build") + dependsOn(":runners:core-java:build") + dependsOn(":runners:direct-java:build") + dependsOn(":runners:extensions-java:metrics:build") + dependsOn(":runners:flink:1.12:build") + dependsOn(":runners:flink:1.12:job-server:build") + dependsOn(":runners:flink:1.13:build") + dependsOn(":runners:flink:1.13:job-server:build") + dependsOn(":runners:flink:1.14:build") + dependsOn(":runners:flink:1.14:job-server:build") + dependsOn(":runners:flink:1.15:build") + dependsOn(":runners:flink:1.15:job-server:build") + dependsOn(":runners:google-cloud-dataflow-java:build") + dependsOn(":runners:google-cloud-dataflow-java:examples-streaming:build") + dependsOn(":runners:google-cloud-dataflow-java:examples:build") + dependsOn(":runners:google-cloud-dataflow-java:worker:build") + dependsOn(":runners:google-cloud-dataflow-java:worker:windmill:build") + dependsOn(":runners:java-fn-execution:build") + dependsOn(":runners:java-job-service:build") + dependsOn(":runners:jet:build") + dependsOn(":runners:local-java:build") + dependsOn(":runners:portability:java:build") + dependsOn(":runners:samza:build") + dependsOn(":runners:samza:job-server:build") + dependsOn(":runners:spark:2:build") + dependsOn(":runners:spark:2:job-server:build") + dependsOn(":runners:spark:3:build") + dependsOn(":runners:spark:3:job-server:build") + dependsOn(":runners:twister2:build") + dependsOn(":sdks:java:build-tools:build") + dependsOn(":sdks:java:core:build") + dependsOn(":sdks:java:core:jmh:build") + dependsOn(":sdks:java:expansion-service:build") + dependsOn(":sdks:java:expansion-service:app:build") + dependsOn(":sdks:java:extensions:arrow:build") + dependsOn(":sdks:java:extensions:euphoria:build") + dependsOn(":sdks:java:extensions:google-cloud-platform-core:build") + dependsOn(":sdks:java:extensions:jackson:build") + dependsOn(":sdks:java:extensions:join-library:build") + dependsOn(":sdks:java:extensions:kryo:build") + dependsOn(":sdks:java:extensions:ml:build") + dependsOn(":sdks:java:extensions:protobuf:build") + dependsOn(":sdks:java:extensions:python:build") + dependsOn(":sdks:java:extensions:sbe:build") + dependsOn(":sdks:java:extensions:schemaio-expansion-service:build") + dependsOn(":sdks:java:extensions:sketching:build") + dependsOn(":sdks:java:extensions:sorter:build") + dependsOn(":sdks:java:extensions:sql:build") + dependsOn(":sdks:java:extensions:sql:datacatalog:build") + dependsOn(":sdks:java:extensions:sql:expansion-service:build") + dependsOn(":sdks:java:extensions:sql:hcatalog:build") + dependsOn(":sdks:java:extensions:sql:jdbc:build") + dependsOn(":sdks:java:extensions:sql:perf-tests:build") + dependsOn(":sdks:java:extensions:sql:shell:build") + dependsOn(":sdks:java:extensions:sql:udf-test-provider:build") + dependsOn(":sdks:java:extensions:sql:udf:build") + dependsOn(":sdks:java:extensions:sql:zetasql:build") + dependsOn(":sdks:java:extensions:timeseries:build") + dependsOn(":sdks:java:extensions:zetasketch:build") + dependsOn(":sdks:java:fn-execution:build") + dependsOn(":sdks:java:harness:build") + dependsOn(":sdks:java:harness:jmh:build") + dependsOn(":sdks:java:io:azure:build") + dependsOn(":sdks:java:io:bigquery-io-perf-tests:build") + dependsOn(":sdks:java:io:common:build") + dependsOn(":sdks:java:io:contextualtextio:build") + dependsOn(":sdks:java:io:expansion-service:build") + dependsOn(":sdks:java:io:file-based-io-tests:build") + dependsOn(":sdks:java:io:sparkreceiver:2:build") + dependsOn(":sdks:java:io:synthetic:build") + dependsOn(":sdks:java:io:xml:build") + dependsOn(":sdks:java:testing:expansion-service:build") + dependsOn(":sdks:java:testing:jpms-tests:build") + dependsOn(":sdks:java:testing:load-tests:build") + dependsOn(":sdks:java:testing:nexmark:build") + dependsOn(":sdks:java:testing:test-utils:build") + dependsOn(":sdks:java:testing:tpcds:build") + dependsOn(":sdks:java:testing:watermarks:build") + dependsOn(":examples:java:preCommit") dependsOn(":examples:java:twitter:preCommit") dependsOn(":sdks:java:extensions:sql:jdbc:preCommit") @@ -322,6 +420,10 @@ tasks.register("pythonPreCommit") { dependsOn(":sdks:python:test-suites:tox:py38:preCommitPy38") dependsOn(":sdks:python:test-suites:tox:py39:preCommitPy39") dependsOn(":sdks:python:test-suites:tox:py310:preCommitPy310") +} + +tasks.register("pythonPreCommitIT") { + dependsOn(":sdks:python:test-suites:tox:pycommon:preCommitPyCommon") dependsOn(":sdks:python:test-suites:dataflow:preCommitIT") dependsOn(":sdks:python:test-suites:dataflow:preCommitIT_V2") } @@ -451,6 +553,7 @@ tasks.register("pushAllDockerImages") { dependsOn(":sdks:java:container:pushAll") dependsOn(":sdks:python:container:pushAll") dependsOn(":sdks:go:container:pushAll") + dependsOn(":sdks:typescript:container:pushAll") for (version in project.ext.get("allFlinkVersions") as Array<*>) { dependsOn(":runners:flink:${version}:job-server-container:dockerPush") } diff --git a/buildSrc/src/main/groovy/org/apache/beam/gradle/BeamModulePlugin.groovy b/buildSrc/src/main/groovy/org/apache/beam/gradle/BeamModulePlugin.groovy index b1488de0badb..f0f9e820ba97 100644 --- a/buildSrc/src/main/groovy/org/apache/beam/gradle/BeamModulePlugin.groovy +++ b/buildSrc/src/main/groovy/org/apache/beam/gradle/BeamModulePlugin.groovy @@ -390,7 +390,7 @@ class BeamModulePlugin implements Plugin { // Automatically use the official release version if we are performing a release // otherwise append '-SNAPSHOT' - project.version = '2.44.0' + project.version = '2.46.0' if (!isRelease(project)) { project.version += '-SNAPSHOT' } @@ -461,36 +461,38 @@ class BeamModulePlugin implements Plugin { def aws_java_sdk2_version = "2.17.127" def cassandra_driver_version = "3.10.2" def cdap_version = "6.5.1" - def checkerframework_version = "3.12.0" + def checkerframework_version = "3.27.0" def classgraph_version = "4.8.104" def dbcp2_version = "2.8.0" def errorprone_version = "2.10.0" // Try to keep gax_version consistent with gax-grpc version in google_cloud_platform_libraries_bom - def gax_version = "2.19.5" + def gax_version = "2.20.1" def google_clients_version = "2.0.0" def google_cloud_bigdataoss_version = "2.2.6" // Try to keep google_cloud_spanner_version consistent with google_cloud_spanner_bom in google_cloud_platform_libraries_bom - def google_cloud_spanner_version = "6.33.0" + def google_cloud_spanner_version = "6.34.1" def google_code_gson_version = "2.9.1" def google_oauth_clients_version = "1.34.1" // Try to keep grpc_version consistent with gRPC version in google_cloud_platform_libraries_bom - def grpc_version = "1.50.2" + def grpc_version = "1.51.0" def guava_version = "31.1-jre" def hadoop_version = "2.10.2" def hamcrest_version = "2.1" def influxdb_version = "2.19" def httpclient_version = "4.5.13" def httpcore_version = "4.4.14" - def jackson_version = "2.13.3" + def jackson_version = "2.14.1" def jaxb_api_version = "2.3.3" def jsr305_version = "3.0.2" + def everit_json_version = "1.14.1" def kafka_version = "2.4.1" + def log4j2_version = "2.17.2" def nemo_version = "0.1" def netty_version = "4.1.77.Final" def postgres_version = "42.2.16" def powermock_version = "2.0.9" // Try to keep protobuf_version consistent with the protobuf version in google_cloud_platform_libraries_bom - def protobuf_version = "3.21.9" + def protobuf_version = "3.21.10" def quickcheck_version = "1.0" def sbe_tool_version = "1.25.1" def singlestore_jdbc_version = "1.1.4" @@ -498,7 +500,7 @@ class BeamModulePlugin implements Plugin { def spark2_version = "2.4.8" def spark3_version = "3.1.2" def spotbugs_version = "4.0.6" - def testcontainers_version = "1.16.3" + def testcontainers_version = "1.17.3" def arrow_version = "5.0.0" def jmh_version = "1.34" @@ -572,6 +574,7 @@ class BeamModulePlugin implements Plugin { commons_csv : "org.apache.commons:commons-csv:1.8", commons_io : "commons-io:commons-io:2.7", commons_lang3 : "org.apache.commons:commons-lang3:3.9", + commons_logging : "commons-logging:commons-logging:1.2", commons_math3 : "org.apache.commons:commons-math3:3.6.1", dbcp2 : "org.apache.commons:commons-dbcp2:$dbcp2_version", error_prone_annotations : "com.google.errorprone:error_prone_annotations:$errorprone_version", @@ -607,9 +610,9 @@ class BeamModulePlugin implements Plugin { google_cloud_pubsub : "com.google.cloud:google-cloud-pubsub", // google_cloud_platform_libraries_bom sets version google_cloud_pubsublite : "com.google.cloud:google-cloud-pubsublite", // google_cloud_platform_libraries_bom sets version // The GCP Libraries BOM dashboard shows the versions set by the BOM: - // https://storage.googleapis.com/cloud-opensource-java-dashboard/com.google.cloud/libraries-bom/26.1.5/artifact_details.html + // https://storage.googleapis.com/cloud-opensource-java-dashboard/com.google.cloud/libraries-bom/26.3.0/artifact_details.html // Update libraries-bom version on sdks/java/container/license_scripts/dep_urls_java.yaml - google_cloud_platform_libraries_bom : "com.google.cloud:libraries-bom:26.1.5", + google_cloud_platform_libraries_bom : "com.google.cloud:libraries-bom:26.3.0", google_cloud_spanner : "com.google.cloud:google-cloud-spanner", // google_cloud_platform_libraries_bom sets version google_cloud_spanner_test : "com.google.cloud:google-cloud-spanner:$google_cloud_spanner_version:tests", google_code_gson : "com.google.code.gson:gson:$google_code_gson_version", @@ -633,7 +636,7 @@ class BeamModulePlugin implements Plugin { grpc_core : "io.grpc:grpc-core", // google_cloud_platform_libraries_bom sets version grpc_google_cloud_firestore_v1 : "com.google.api.grpc:grpc-google-cloud-firestore-v1", // google_cloud_platform_libraries_bom sets version grpc_google_cloud_pubsub_v1 : "com.google.api.grpc:grpc-google-cloud-pubsub-v1", // google_cloud_platform_libraries_bom sets version - grpc_google_cloud_pubsublite_v1 : "com.google.api.grpc:grpc-google-cloud-pubsublite-v1:1.5.0", // TODO(dpcollins-google): Let google_cloud_platform_libraries_bom set version once high enough + grpc_google_cloud_pubsublite_v1 : "com.google.api.grpc:grpc-google-cloud-pubsublite-v1", // google_cloud_platform_libraries_bom sets version grpc_google_common_protos : "com.google.api.grpc:grpc-google-common-protos", // google_cloud_platform_libraries_bom sets version grpc_grpclb : "io.grpc:grpc-grpclb", // google_cloud_platform_libraries_bom sets version grpc_protobuf : "io.grpc:grpc-protobuf", // google_cloud_platform_libraries_bom sets version @@ -674,13 +677,22 @@ class BeamModulePlugin implements Plugin { jamm : 'io.github.stephankoelle:jamm:0.4.1', jaxb_api : "jakarta.xml.bind:jakarta.xml.bind-api:$jaxb_api_version", jaxb_impl : "com.sun.xml.bind:jaxb-impl:$jaxb_api_version", + jcl_over_slf4j : "org.slf4j:jcl-over-slf4j:$slf4j_version", jmh_core : "org.openjdk.jmh:jmh-core:$jmh_version", joda_time : "joda-time:joda-time:2.10.10", jsonassert : "org.skyscreamer:jsonassert:1.5.0", jsr305 : "com.google.code.findbugs:jsr305:$jsr305_version", + json_org : "org.json:json:20220320", // Keep in sync with everit-json-schema / google_cloud_platform_libraries_bom transitive deps. + everit_json_schema : "com.github.erosb:everit-json-schema:${everit_json_version}", junit : "junit:junit:4.13.1", kafka : "org.apache.kafka:kafka_2.11:$kafka_version", kafka_clients : "org.apache.kafka:kafka-clients:$kafka_version", + log4j : "log4j:log4j:1.2.17", + log4j_over_slf4j : "org.slf4j:log4j-over-slf4j:$slf4j_version", + log4j2_api : "org.apache.logging.log4j:log4j-api:$log4j2_version", + log4j2_core : "org.apache.logging.log4j:log4j-core:$log4j2_version", + log4j2_to_slf4j : "org.apache.logging.log4j:log4j-to-slf4j:$log4j2_version", + log4j2_slf4j_impl : "org.apache.logging.log4j:log4j-slf4j-impl:$log4j2_version", mockito_core : "org.mockito:mockito-core:3.7.7", mockito_inline : "org.mockito:mockito-inline:4.5.1", mongo_java_driver : "org.mongodb:mongo-java-driver:3.12.11", @@ -708,9 +720,14 @@ class BeamModulePlugin implements Plugin { sbe_tool : "uk.co.real-logic:sbe-tool:$sbe_tool_version", singlestore_jdbc : "com.singlestore:singlestore-jdbc-client:$singlestore_jdbc_version", slf4j_api : "org.slf4j:slf4j-api:$slf4j_version", - slf4j_simple : "org.slf4j:slf4j-simple:$slf4j_version", + slf4j_android : "org.slf4j:slf4j-android:$slf4j_version", + slf4j_ext : "org.slf4j:slf4j-ext:$slf4j_version", slf4j_jdk14 : "org.slf4j:slf4j-jdk14:$slf4j_version", + slf4j_nop : "org.slf4j:slf4j-nop:$slf4j_version", + slf4j_simple : "org.slf4j:slf4j-simple:$slf4j_version", + slf4j_jul_to_slf4j : "org.slf4j:jul-to-slf4j:$slf4j_version", slf4j_log4j12 : "org.slf4j:slf4j-log4j12:$slf4j_version", + slf4j_jcl : "org.slf4j:slf4j-jcl:$slf4j_version", snappy_java : "org.xerial.snappy:snappy-java:1.1.8.4", spark_core : "org.apache.spark:spark-core_2.11:$spark2_version", spark_network_common : "org.apache.spark:spark-network-common_2.11:$spark2_version", @@ -775,6 +792,7 @@ class BeamModulePlugin implements Plugin { // Disabling checks since this property is only used for Jenkins tests // https://github.com/tbroyer/gradle-errorprone-plugin#jdk-16-support options.errorprone.errorproneArgs.add("-XepDisableAllChecks") + // The -J prefix is needed to workaround https://github.com/gradle/gradle/issues/22747 options.forkOptions.jvmArgs += [ "-J--add-exports=jdk.compiler/com.sun.tools.javac.api=ALL-UNNAMED", "-J--add-exports=jdk.compiler/com.sun.tools.javac.file=ALL-UNNAMED", @@ -1017,7 +1035,8 @@ class BeamModulePlugin implements Plugin { extraJavacArgs = [ "-AskipDefs=${skipDefCombinedRegex}", "-AskipUses=${skipUsesCombinedRegex}", - "-AsuppressWarnings=annotation.not.completed", + "-AnoWarnMemoryConstraints", + "-AsuppressWarnings=annotation.not.completed,keyfor", ] project.dependencies { @@ -1278,6 +1297,27 @@ class BeamModulePlugin implements Plugin { options.errorprone.disableWarningsInGeneratedCode = true options.errorprone.excludedPaths = '(.*/)?(build/generated-src|build/generated.*avro-java|build/generated)/.*' + // Error Prone requires some packages to be exported/opened on Java versions that support modules, + // i.e. Java 9 and up. The flags became mandatory in Java 17 with JEP-403. + // The -J prefix is not needed if forkOptions.javaHome is unset, + // see http://github.com/gradle/gradle/issues/22747 + if (JavaVersion.VERSION_1_8.compareTo(JavaVersion.current()) < 0 + && options.forkOptions.javaHome == null) { + options.fork = true + options.forkOptions.jvmArgs += [ + "--add-exports=jdk.compiler/com.sun.tools.javac.api=ALL-UNNAMED", + "--add-exports=jdk.compiler/com.sun.tools.javac.file=ALL-UNNAMED", + "--add-exports=jdk.compiler/com.sun.tools.javac.main=ALL-UNNAMED", + "--add-exports=jdk.compiler/com.sun.tools.javac.model=ALL-UNNAMED", + "--add-exports=jdk.compiler/com.sun.tools.javac.parser=ALL-UNNAMED", + "--add-exports=jdk.compiler/com.sun.tools.javac.processing=ALL-UNNAMED", + "--add-exports=jdk.compiler/com.sun.tools.javac.tree=ALL-UNNAMED", + "--add-exports=jdk.compiler/com.sun.tools.javac.util=ALL-UNNAMED", + "--add-opens=jdk.compiler/com.sun.tools.javac.code=ALL-UNNAMED", + "--add-opens=jdk.compiler/com.sun.tools.javac.comp=ALL-UNNAMED" + ] + } + // TODO(https://github.com/apache/beam/issues/20955): Enable errorprone checks options.errorprone.errorproneArgs.add("-Xep:AutoValueImmutableFields:OFF") options.errorprone.errorproneArgs.add("-Xep:AutoValueSubclassLeaked:OFF") @@ -1877,9 +1917,9 @@ class BeamModulePlugin implements Plugin { "--region=${dataflowRegion}" ]) } else { - project.evaluationDependsOn(":runners:google-cloud-dataflow-java:worker:legacy-worker") + project.evaluationDependsOn(":runners:google-cloud-dataflow-java:worker") def dataflowWorkerJar = project.findProperty('dataflowWorkerJar') ?: - project.project(":runners:google-cloud-dataflow-java:worker:legacy-worker").shadowJar.archivePath + project.project(":runners:google-cloud-dataflow-java:worker").shadowJar.archivePath allOptionsList.addAll([ // Keep as legacy flag to ensure via test this flag works for // legacy pipeline. @@ -1927,7 +1967,7 @@ class BeamModulePlugin implements Plugin { //if (runner?.contains('dataflow')) { if (runner?.equalsIgnoreCase('dataflow')) { testRuntimeOnly it.project(path: ":runners:google-cloud-dataflow-java", configuration: "testRuntimeMigration") - testRuntimeOnly it.project(path: ":runners:google-cloud-dataflow-java:worker:legacy-worker", configuration: 'shadow') + testRuntimeOnly it.project(path: ":runners:google-cloud-dataflow-java:worker", configuration: 'shadow') } if (runner?.equalsIgnoreCase('direct')) { @@ -2361,7 +2401,8 @@ class BeamModulePlugin implements Plugin { } else if (JavaVersion.current() == JavaVersion.VERSION_17) { javaContainerSuffix = 'java17' } else { - throw new GradleException("unsupported java version.") + String exceptionMessage = "Your Java version is unsupported. You need Java version of 8 or 11 or 17 to get started, but your Java version is: " + JavaVersion.current(); + throw new GradleException(exceptionMessage) } def setupTask = project.tasks.register(config.name+"Setup", Exec) { dependsOn ':sdks:java:container:'+javaContainerSuffix+':docker' diff --git a/examples/java/cdap/README.md b/examples/java/cdap/README.md new file mode 100644 index 000000000000..fb28dc000b7d --- /dev/null +++ b/examples/java/cdap/README.md @@ -0,0 +1,27 @@ + + +# Apache Beam pipeline examples for CdapIO and CDAP plugins + +This directory contains set of [Apache Beam](https://beam.apache.org/) pipeline examples to read data +from a [CDAP plugin](https://github.com/data-integrations) and write data into .txt file (and vice versa). + +Supported CDAP plugins: +- [ServiceNow](https://github.com/data-integrations/servicenow-plugins). More info in the ServiceNow example [README](servicenow/src/main/java/org/apache/beam/examples/complete/cdap/servicenow/README.md). +- [Salesforce](https://github.com/data-integrations/salesforce). More info in the Salesforce example [README](salesforce/src/main/java/org/apache/beam/examples/complete/cdap/salesforce/README.md). +- [Hubspot](https://github.com/data-integrations/hubspot). More info in the Hubspot example [README](hubspot/src/main/java/org/apache/beam/examples/complete/cdap/hubspot/README.md). +- [Zendesk](https://github.com/data-integrations/zendesk). More info in the Zendesk example [README](zendesk/src/main/java/org/apache/beam/examples/complete/cdap/zendesk/README.md). diff --git a/examples/java/cdap/build.gradle b/examples/java/cdap/build.gradle new file mode 100644 index 000000000000..ba1b86fdbc14 --- /dev/null +++ b/examples/java/cdap/build.gradle @@ -0,0 +1,42 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * License); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +plugins { + id 'java' + id 'org.apache.beam.module' +} + +applyJavaNature( + exportJavadoc: false, + automaticModuleName: 'org.apache.beam.examples.complete.cdap', +) + +description = "Apache Beam :: Examples :: Java :: CDAP" +ext.summary = """Apache Beam SDK provides a simple, Java-based +interface for processing virtually any size data. This +artifact includes CDAP Apache Beam Java SDK common classes for examples.""" + +dependencies { + implementation enforcedPlatform(library.java.google_cloud_platform_libraries_bom) + implementation project(path: ":sdks:java:core", configuration: "shadow") + implementation library.java.cdap_api_commons + implementation library.java.cdap_hydrator_common + permitUnusedDeclared library.java.cdap_hydrator_common + implementation library.java.google_code_gson + runtimeOnly project(path: ":runners:direct-java", configuration: "shadow") +} diff --git a/examples/java/cdap/hubspot/build.gradle b/examples/java/cdap/hubspot/build.gradle new file mode 100644 index 000000000000..f163d17d555a --- /dev/null +++ b/examples/java/cdap/hubspot/build.gradle @@ -0,0 +1,112 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * License); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +import groovy.json.JsonOutput + +plugins { + id 'java' + id 'org.apache.beam.module' + id 'com.github.johnrengelman.shadow' +} + +applyJavaNature( + exportJavadoc: false, + automaticModuleName: 'org.apache.beam.examples.complete.cdap.hubspot', +) + +description = "Apache Beam :: Examples :: Java :: CDAP :: Hubspot" +ext.summary = """Apache Beam SDK provides a simple, Java-based +interface for processing virtually any size data. This +artifact includes CDAP Hubspot Apache Beam Java SDK examples.""" + +/** Define the list of runners which execute a precommit test. + * Some runners are run from separate projects, see the preCommit task below + * for details. + */ +def preCommitRunners = ["directRunner", "flinkRunner"] +for (String runner : preCommitRunners) { + configurations.create(runner + "PreCommit") +} + +dependencies { + implementation enforcedPlatform(library.java.google_cloud_platform_libraries_bom) + implementation project(path: ":sdks:java:core", configuration: "shadow") + implementation project(":examples:java:cdap") + implementation project(":sdks:java:io:cdap") + implementation project(":sdks:java:io:hadoop-common") + implementation library.java.cdap_api + implementation library.java.cdap_api_commons + permitUnusedDeclared library.java.cdap_api_commons + implementation library.java.cdap_etl_api + permitUnusedDeclared library.java.cdap_etl_api + implementation library.java.cdap_etl_api_spark + permitUnusedDeclared library.java.cdap_etl_api_spark + implementation library.java.cdap_hydrator_common + //TODO: modify to 'implementation library.java.cdap_plugin_hubspot', + // when new release with HasOffset interface will be published + implementation "com.akvelon:cdap-hubspot-plugins:1.1.0" + implementation library.java.google_code_gson + implementation library.java.hadoop_common + implementation library.java.slf4j_api + implementation library.java.vendored_guava_26_0_jre + runtimeOnly project(path: ":runners:direct-java", configuration: "shadow") + + // Add dependencies for the PreCommit configurations + // For each runner a project level dependency on the examples project. + for (String runner : preCommitRunners) { + delegate.add(runner + "PreCommit", project(":examples:java:cdap:hubspot")) + delegate.add(runner + "PreCommit", project(path: ":examples:java:cdap:hubspot", configuration: "testRuntimeMigration")) + } + directRunnerPreCommit project(path: ":runners:direct-java", configuration: "shadow") + flinkRunnerPreCommit project(":runners:flink:${project.ext.latestFlinkVersion}") +} + +/* + * Create a ${runner}PreCommit task for each runner which runs a set + * of integration tests for WordCount and WindowedWordCount. + */ +def preCommitRunnerClass = [ + directRunner: "org.apache.beam.runners.direct.DirectRunner", + flinkRunner: "org.apache.beam.runners.flink.TestFlinkRunner" +] + +for (String runner : preCommitRunners) { + tasks.create(name: runner + "PreCommit", type: Test) { + def preCommitBeamTestPipelineOptions = [ + "--runner=" + preCommitRunnerClass[runner], + ] + classpath = configurations."${runner}PreCommit" + forkEvery 1 + maxParallelForks 4 + systemProperty "beamTestPipelineOptions", JsonOutput.toJson(preCommitBeamTestPipelineOptions) + } +} + +/* Define a common precommit task which depends on all the individual precommits. */ +task preCommit() { + for (String runner : preCommitRunners) { + dependsOn runner + "PreCommit" + } +} + +task executeCdapHubspot (type:JavaExec) { + mainClass = System.getProperty("mainClass") + classpath = sourceSets.main.runtimeClasspath + systemProperties System.getProperties() + args System.getProperty("exec.args", "").split() +} diff --git a/examples/java/cdap/hubspot/src/main/java/org/apache/beam/examples/complete/cdap/hubspot/CdapHubspotStreamingToTxt.java b/examples/java/cdap/hubspot/src/main/java/org/apache/beam/examples/complete/cdap/hubspot/CdapHubspotStreamingToTxt.java new file mode 100644 index 000000000000..47d98cd75253 --- /dev/null +++ b/examples/java/cdap/hubspot/src/main/java/org/apache/beam/examples/complete/cdap/hubspot/CdapHubspotStreamingToTxt.java @@ -0,0 +1,146 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package org.apache.beam.examples.complete.cdap.hubspot; + +import java.util.Map; +import org.apache.beam.examples.complete.cdap.hubspot.options.CdapHubspotStreamingSourceOptions; +import org.apache.beam.examples.complete.cdap.hubspot.transforms.FormatInputTransform; +import org.apache.beam.examples.complete.cdap.hubspot.utils.PluginConfigOptionsConverter; +import org.apache.beam.sdk.Pipeline; +import org.apache.beam.sdk.PipelineResult; +import org.apache.beam.sdk.coders.KvCoder; +import org.apache.beam.sdk.coders.NullableCoder; +import org.apache.beam.sdk.coders.StringUtf8Coder; +import org.apache.beam.sdk.io.TextIO; +import org.apache.beam.sdk.io.hadoop.WritableCoder; +import org.apache.beam.sdk.options.PipelineOptionsFactory; +import org.apache.beam.sdk.transforms.Values; +import org.apache.beam.sdk.transforms.windowing.AfterProcessingTime; +import org.apache.beam.sdk.transforms.windowing.GlobalWindows; +import org.apache.beam.sdk.transforms.windowing.Repeatedly; +import org.apache.beam.sdk.transforms.windowing.Window; +import org.apache.beam.sdk.values.KV; +import org.apache.hadoop.io.NullWritable; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; + +/** + * The {@link CdapHubspotStreamingToTxt} pipeline is a streaming pipeline which ingests data in JSON + * format from CDAP Hubspot, and outputs the resulting records to .txt file. Hubspot parameters and + * output .txt file path are specified by the user as template parameters.
+ * + *

Example Usage + * + *

+ * # Gradle preparation
+ *
+ * To run this example your {@code build.gradle} file should contain the following task
+ * to execute the pipeline:
+ * {@code
+ * task executeCdap (type:JavaExec) {
+ *     mainClass = System.getProperty("mainClass")
+ *     classpath = sourceSets.main.runtimeClasspath
+ *     systemProperties System.getProperties()
+ *     args System.getProperty("exec.args", "").split()
+ * }
+ * }
+ *
+ * This task allows to run the pipeline via the following command:
+ * {@code
+ * gradle clean executeCdap -DmainClass=org.apache.beam.examples.complete.cdap.hubspot.CdapHubspotStreamingToTxt \
+ *      -Dexec.args="--= --="
+ * }
+ *
+ * # Running the pipeline
+ * To execute this pipeline, specify the parameters in the following format:
+ * {@code
+ * --authToken=your-private-app-access-token \
+ * --referenceName=your-reference-name \
+ * --objectType=Contacts \
+ * --outputTxtFilePathPrefix=your-path-to-output-folder-with-filename-prefix \
+ * --pullFrequencySec=1 \
+ * --startOffset=0
+ * }
+ *
+ * By default this will run the pipeline locally with the DirectRunner. To change the runner, specify:
+ * {@code
+ * --runner=YOUR_SELECTED_RUNNER
+ * }
+ * 
+ */ +public class CdapHubspotStreamingToTxt { + + /* Logger for class.*/ + private static final Logger LOG = LoggerFactory.getLogger(CdapHubspotStreamingToTxt.class); + + /** + * Main entry point for pipeline execution. + * + * @param args Command line arguments to the pipeline. + */ + public static void main(String[] args) { + CdapHubspotStreamingSourceOptions options = + PipelineOptionsFactory.fromArgs(args) + .withValidation() + .as(CdapHubspotStreamingSourceOptions.class); + + // Create the pipeline + Pipeline pipeline = Pipeline.create(options); + run(pipeline, options); + } + + /** + * Runs a pipeline which reads records from CDAP Hubspot and writes it to .txt file. + * + * @param options arguments to the pipeline + */ + public static PipelineResult run(Pipeline pipeline, CdapHubspotStreamingSourceOptions options) { + Map paramsMap = PluginConfigOptionsConverter.hubspotOptionsToParamsMap(options); + LOG.info("Starting Cdap-Hubspot-streaming-to-txt pipeline with parameters: {}", paramsMap); + + /* + * Steps: + * 1) Read messages in from Cdap Hubspot + * 2) Extract values only + * 3) Write successful records to .txt file + */ + + pipeline + .apply( + "readFromCdapHubspotStreaming", + FormatInputTransform.readFromCdapHubspotStreaming( + paramsMap, options.getPullFrequencySec(), options.getStartOffset())) + .setCoder( + KvCoder.of( + NullableCoder.of(WritableCoder.of(NullWritable.class)), StringUtf8Coder.of())) + .apply( + "globalwindow", + Window.>into(new GlobalWindows()) + .triggering(Repeatedly.forever(AfterProcessingTime.pastFirstElementInPane())) + .discardingFiredPanes()) + .apply(Values.create()) + .apply( + "writeToTxt", + TextIO.write() + .withWindowedWrites() + .withNumShards(1) + .to(options.getOutputTxtFilePathPrefix())); + + return pipeline.run(); + } +} diff --git a/examples/java/cdap/hubspot/src/main/java/org/apache/beam/examples/complete/cdap/hubspot/CdapHubspotToTxt.java b/examples/java/cdap/hubspot/src/main/java/org/apache/beam/examples/complete/cdap/hubspot/CdapHubspotToTxt.java new file mode 100644 index 000000000000..f2c2941779d2 --- /dev/null +++ b/examples/java/cdap/hubspot/src/main/java/org/apache/beam/examples/complete/cdap/hubspot/CdapHubspotToTxt.java @@ -0,0 +1,141 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package org.apache.beam.examples.complete.cdap.hubspot; + +import com.google.gson.JsonElement; +import java.util.Map; +import org.apache.beam.examples.complete.cdap.hubspot.options.CdapHubspotSourceOptions; +import org.apache.beam.examples.complete.cdap.hubspot.transforms.FormatInputTransform; +import org.apache.beam.examples.complete.cdap.hubspot.utils.PluginConfigOptionsConverter; +import org.apache.beam.examples.complete.cdap.utils.JsonElementCoder; +import org.apache.beam.sdk.Pipeline; +import org.apache.beam.sdk.PipelineResult; +import org.apache.beam.sdk.coders.KvCoder; +import org.apache.beam.sdk.coders.NullableCoder; +import org.apache.beam.sdk.coders.StringUtf8Coder; +import org.apache.beam.sdk.io.TextIO; +import org.apache.beam.sdk.io.hadoop.WritableCoder; +import org.apache.beam.sdk.options.PipelineOptionsFactory; +import org.apache.beam.sdk.transforms.MapValues; +import org.apache.beam.sdk.transforms.Values; +import org.apache.beam.sdk.values.TypeDescriptors; +import org.apache.hadoop.io.NullWritable; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; + +/** + * The {@link CdapHubspotToTxt} pipeline is a batch pipeline which ingests data in JSON format from + * CDAP Hubspot, and outputs the resulting records to .txt file. Hubspot parameters and output .txt + * file path are specified by the user as template parameters.
+ * + *

Example Usage + * + *

+ * # Gradle preparation
+ *
+ * To run this example your {@code build.gradle} file should contain the following task
+ * to execute the pipeline:
+ * {@code
+ * task executeCdap (type:JavaExec) {
+ *     mainClass = System.getProperty("mainClass")
+ *     classpath = sourceSets.main.runtimeClasspath
+ *     systemProperties System.getProperties()
+ *     args System.getProperty("exec.args", "").split()
+ * }
+ * }
+ *
+ * This task allows to run the pipeline via the following command:
+ * {@code
+ * gradle clean executeCdap -DmainClass=org.apache.beam.examples.complete.cdap.hubspot.CdapHubspotToTxt \
+ *      -Dexec.args="--= --="
+ * }
+ *
+ * # Running the pipeline
+ * To execute this pipeline, specify the parameters in the following format:
+ * {@code
+ * --authToken=your-private-app-access-token \
+ * --referenceName=your-reference-name \
+ * --objectType=Contacts \
+ * --outputTxtFilePathPrefix=your-path-to-output-folder-with-filename-prefix
+ * }
+ *
+ * By default this will run the pipeline locally with the DirectRunner. To change the runner, specify:
+ * {@code
+ * --runner=YOUR_SELECTED_RUNNER
+ * }
+ * 
+ */ +public class CdapHubspotToTxt { + + /* Logger for class.*/ + private static final Logger LOG = LoggerFactory.getLogger(CdapHubspotToTxt.class); + + /** + * Main entry point for pipeline execution. + * + * @param args Command line arguments to the pipeline. + */ + public static void main(String[] args) { + CdapHubspotSourceOptions options = + PipelineOptionsFactory.fromArgs(args).withValidation().as(CdapHubspotSourceOptions.class); + + // Create the pipeline + Pipeline pipeline = Pipeline.create(options); + run(pipeline, options); + } + + /** + * Runs a pipeline which reads records from CDAP Hubspot and writes it to .txt file. + * + * @param options arguments to the pipeline + */ + public static PipelineResult run(Pipeline pipeline, CdapHubspotSourceOptions options) { + Map paramsMap = PluginConfigOptionsConverter.hubspotOptionsToParamsMap(options); + LOG.info("Starting Cdap-Hubspot-to-txt pipeline with parameters: {}", paramsMap); + + /* + * Steps: + * 1) Read messages in from Cdap Hubspot + * 2) Extract values only + * 3) Write successful records to .txt file + */ + pipeline.getCoderRegistry().registerCoderForClass(JsonElement.class, JsonElementCoder.of()); + + pipeline + .apply("readFromCdapHubspot", FormatInputTransform.readFromCdapHubspot(paramsMap)) + .setCoder( + KvCoder.of( + NullableCoder.of(WritableCoder.of(NullWritable.class)), JsonElementCoder.of())) + .apply( + MapValues.into(TypeDescriptors.strings()) + .via( + jsonElement -> { + if (jsonElement == null) { + return "{}"; + } + return jsonElement.toString(); + })) + .setCoder( + KvCoder.of( + NullableCoder.of(WritableCoder.of(NullWritable.class)), StringUtf8Coder.of())) + .apply(Values.create()) + .apply("writeToTxt", TextIO.write().to(options.getOutputTxtFilePathPrefix())); + + return pipeline.run(); + } +} diff --git a/examples/java/cdap/hubspot/src/main/java/org/apache/beam/examples/complete/cdap/hubspot/README.md b/examples/java/cdap/hubspot/src/main/java/org/apache/beam/examples/complete/cdap/hubspot/README.md new file mode 100644 index 000000000000..13b4056ab8a2 --- /dev/null +++ b/examples/java/cdap/hubspot/src/main/java/org/apache/beam/examples/complete/cdap/hubspot/README.md @@ -0,0 +1,110 @@ + + +## Gradle preparation + +To run this example your `build.gradle` file should contain the following task to execute the pipeline: + +``` +task executeCdapHubspot (type:JavaExec) { + mainClass = System.getProperty("mainClass") + classpath = sourceSets.main.runtimeClasspath + systemProperties System.getProperties() + args System.getProperty("exec.args", "").split() +} +``` + +## Running the CdapHubspotToTxt pipeline example + +Gradle 'executeCdapHubspot' task allows to run the pipeline via the following command: + +```bash +gradle clean executeCdapHubspot -DmainClass=org.apache.beam.examples.complete.cdap.hubspot.CdapHubspotToTxt \ + -Dexec.args="--= --=" +``` + +`CdapHubspotToTxt` pipeline parameters: +- `authToken` - Hubspot Private Application Access token +- `objectType` - Hubspot objects to pull supported by CDAP [Hubspot Batch Source](https://github.com/akvelon/cdap-hubspot/blob/release-1.1.0-authorization/docs/Hubspot-batchsource.md) +- `outputTxtFilePathPrefix` - path to output folder with filename prefix. It will write a set of .txt files with names like {prefix}-###. + +Please see CDAP [Hubspot Batch Source](https://github.com/akvelon/cdap-hubspot/blob/release-1.1.0-authorization/docs/Hubspot-batchsource.md) for more information. + +To execute this pipeline, specify the parameters in the following format: + +```bash + --authToken=your-private-app-access-token \ + --referenceName=your-reference-name \ + --objectType=Contacts \ + --outputTxtFilePathPrefix=your-path-to-output-folder-with-filename-prefix +``` + +## Running the CdapHubspotStreamingToTxt pipeline example + +Gradle 'executeCdapHubspot' task allows to run the pipeline via the following command: + +```bash +gradle clean executeCdapHubspot -DmainClass=org.apache.beam.examples.complete.cdap.hubspot.CdapHubspotStreamingToTxt \ + -Dexec.args="--= --=" +``` + +`CdapHubspotStreamingToTxt` pipeline parameters: +- `authToken` - Hubspot Private Application Access token +- `objectType` - Hubspot objects to pull supported by CDAP [Hubspot Streaming Source](https://github.com/akvelon/cdap-hubspot/blob/release-1.1.0-authorization/docs/Hubspot-streamingsource.md) +- `outputTxtFilePathPrefix` - path to output folder with filename prefix. It will write a set of .txt files with names like {prefix}-###. +- `pullFrequencySec` - delay in seconds between polling for new records updates. (Optional) +- `startOffset` - inclusive start offset from which the reading should be started. (Optional) + +Please see CDAP [Hubspot Streaming Source](https://github.com/akvelon/cdap-hubspot/blob/release-1.1.0-authorization/docs/Hubspot-streamingsource.md) for more information. + +To execute this pipeline, specify the parameters in the following format: + +```bash + --authToken=your-private-app-access-token \ + --referenceName=your-reference-name \ + --objectType=Contacts \ + --outputTxtFilePathPrefix=your-path-to-output-folder-with-filename-prefix \ + --pullFrequencySec=100 \ + --startOffset=1000 +``` + +## Running the TxtToCdapHubspot pipeline example + +Gradle 'executeCdapHubspot' task allows to run the pipeline via the following command: + +```bash +gradle clean executeCdapHubspot -DmainClass=org.apache.beam.examples.complete.cdap.hubspot.TxtToCdapHubspot \ + -Dexec.args="--= --=" +``` + +`TxtToCdapHubspot` pipeline parameters: +- `authToken` - Hubspot Private Application Access token +- `objectType` - Hubspot objects to pull supported by [Hubspot Batch Sink](https://github.com/akvelon/cdap-hubspot/blob/release-1.1.0-authorization/docs/Hubspot-batchsink.md) +- `inputTxtFilePath` - input .txt file path +- `locksDirPath` - locks directory path where locks will be stored. This parameter is needed for Hadoop External Synchronization (mechanism for acquiring locks related to the write job). + +Please see CDAP [Hubspot Batch Sink](https://github.com/akvelon/cdap-hubspot/blob/release-1.1.0-authorization/docs/Hubspot-batchsink.md) for more information. + +To execute this pipeline, specify the parameters in the following format: + +```bash + --authToken=your-private-app-access-token \ + --referenceName=your-reference-name \ + --objectType=your-object-type \ + --inputTxtFilePath=your-path-to-input-txt-file \ + --locksDirPath=your-path-to-locks-dir +``` diff --git a/examples/java/cdap/hubspot/src/main/java/org/apache/beam/examples/complete/cdap/hubspot/TxtToCdapHubspot.java b/examples/java/cdap/hubspot/src/main/java/org/apache/beam/examples/complete/cdap/hubspot/TxtToCdapHubspot.java new file mode 100644 index 000000000000..cd7115f24ff2 --- /dev/null +++ b/examples/java/cdap/hubspot/src/main/java/org/apache/beam/examples/complete/cdap/hubspot/TxtToCdapHubspot.java @@ -0,0 +1,128 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package org.apache.beam.examples.complete.cdap.hubspot; + +import static org.apache.beam.sdk.util.Preconditions.checkStateNotNull; + +import java.util.Map; +import org.apache.beam.examples.complete.cdap.hubspot.options.CdapHubspotSinkOptions; +import org.apache.beam.examples.complete.cdap.hubspot.transforms.FormatOutputTransform; +import org.apache.beam.examples.complete.cdap.hubspot.utils.PluginConfigOptionsConverter; +import org.apache.beam.sdk.Pipeline; +import org.apache.beam.sdk.PipelineResult; +import org.apache.beam.sdk.io.TextIO; +import org.apache.beam.sdk.options.PipelineOptionsFactory; +import org.apache.beam.sdk.transforms.MapElements; +import org.apache.beam.sdk.values.KV; +import org.apache.beam.sdk.values.TypeDescriptor; +import org.apache.hadoop.io.NullWritable; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; + +/** + * The {@link TxtToCdapHubspot} pipeline is a batch pipeline which ingests data in JSON format from + * .txt file, and outputs the resulting records to Hubspot. Hubspot parameters and input .txt file + * path are specified by the user as template parameters.
+ * + *

Example Usage + * + *

+ * # Gradle preparation
+ *
+ * To run this example your {@code build.gradle} file should contain the following task
+ * to execute the pipeline:
+ * {@code
+ * task executeCdap (type:JavaExec) {
+ *     mainClass = System.getProperty("mainClass")
+ *     classpath = sourceSets.main.runtimeClasspath
+ *     systemProperties System.getProperties()
+ *     args System.getProperty("exec.args", "").split()
+ * }
+ * }
+ *
+ * This task allows to run the pipeline via the following command:
+ * {@code
+ * gradle clean executeCdap -DmainClass=org.apache.beam.examples.complete.cdap.hubspot.TxtToCdapHubspot \
+ *      -Dexec.args="--= --="
+ * }
+ *
+ * # Running the pipeline
+ * To execute this pipeline, specify the parameters in the following format:
+ * {@code
+ * --authToken=your-private-app-access-token \
+ * --referenceName=your-reference-name \
+ * --objectType=your-object-type \
+ * --inputTxtFilePath=your-path-to-input-file \
+ * --locksDirPath=your-path-to-locks-dir
+ * }
+ *
+ * By default this will run the pipeline locally with the DirectRunner. To change the runner, specify:
+ * {@code
+ * --runner=YOUR_SELECTED_RUNNER
+ * }
+ * 
+ */ +public class TxtToCdapHubspot { + + /* Logger for class.*/ + private static final Logger LOG = LoggerFactory.getLogger(TxtToCdapHubspot.class); + + /** + * Main entry point for pipeline execution. + * + * @param args Command line arguments to the pipeline. + */ + public static void main(String[] args) { + CdapHubspotSinkOptions options = + PipelineOptionsFactory.fromArgs(args).withValidation().as(CdapHubspotSinkOptions.class); + + checkStateNotNull(options.getLocksDirPath(), "locksDirPath can not be null!"); + + // Create the pipeline + Pipeline pipeline = Pipeline.create(options); + run(pipeline, options); + } + + /** + * Runs a pipeline which reads records from .txt file and writes it to CDAP Hubspot. + * + * @param options arguments to the pipeline + */ + public static PipelineResult run(Pipeline pipeline, CdapHubspotSinkOptions options) { + Map paramsMap = PluginConfigOptionsConverter.hubspotOptionsToParamsMap(options); + LOG.info("Starting Txt-to-Cdap-Hubspot pipeline with parameters: {}", paramsMap); + + /* + * Steps: + * 1) Read messages in from .txt file + * 2) Map to KV + * 3) Write successful records to Cdap Hubspot + */ + + pipeline + .apply("readFromTxt", TextIO.read().from(options.getInputTxtFilePath())) + .apply( + MapElements.into(new TypeDescriptor>() {}) + .via(json -> KV.of(NullWritable.get(), json))) + .apply( + "writeToCdapHubspot", + FormatOutputTransform.writeToCdapHubspot(paramsMap, options.getLocksDirPath())); + + return pipeline.run(); + } +} diff --git a/examples/java/cdap/hubspot/src/main/java/org/apache/beam/examples/complete/cdap/hubspot/options/CdapHubspotOptions.java b/examples/java/cdap/hubspot/src/main/java/org/apache/beam/examples/complete/cdap/hubspot/options/CdapHubspotOptions.java new file mode 100644 index 000000000000..5576748c3dab --- /dev/null +++ b/examples/java/cdap/hubspot/src/main/java/org/apache/beam/examples/complete/cdap/hubspot/options/CdapHubspotOptions.java @@ -0,0 +1,46 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package org.apache.beam.examples.complete.cdap.hubspot.options; + +import org.apache.beam.examples.complete.cdap.options.BaseCdapOptions; +import org.apache.beam.sdk.options.Description; +import org.apache.beam.sdk.options.Validation; + +/** + * The {@link CdapHubspotOptions} interface provides the custom execution options passed by the + * executor at the command-line for examples with Cdap Hubspot plugins. + */ +public interface CdapHubspotOptions extends BaseCdapOptions { + + @Description("Hubspot api server url. If not specified then the default url will be used.") + String getApiServerUrl(); + + void setApiServerUrl(String apiServerUrl); + + @Validation.Required + @Description("Hubspot Private Application Access Token.") + String getAuthToken(); + + void setAuthToken(String authToken); + + @Validation.Required + @Description("Name of object to pull from Hubspot (e.g. Contacts).") + String getObjectType(); + + void setObjectType(String objectType); +} diff --git a/examples/java/cdap/hubspot/src/main/java/org/apache/beam/examples/complete/cdap/hubspot/options/CdapHubspotSinkOptions.java b/examples/java/cdap/hubspot/src/main/java/org/apache/beam/examples/complete/cdap/hubspot/options/CdapHubspotSinkOptions.java new file mode 100644 index 000000000000..ca4b62e0e9d3 --- /dev/null +++ b/examples/java/cdap/hubspot/src/main/java/org/apache/beam/examples/complete/cdap/hubspot/options/CdapHubspotSinkOptions.java @@ -0,0 +1,44 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package org.apache.beam.examples.complete.cdap.hubspot.options; + +import org.apache.beam.examples.complete.cdap.hubspot.TxtToCdapHubspot; +import org.apache.beam.sdk.options.Description; +import org.apache.beam.sdk.options.Validation; + +/** + * The {@link CdapHubspotSinkOptions} interface provides the custom execution options passed by the + * executor at the command-line for {@link TxtToCdapHubspot} example. + */ +public interface CdapHubspotSinkOptions extends CdapHubspotOptions { + + @Validation.Required + @Description("Input .txt file path with Hubspot records.") + String getInputTxtFilePath(); + + void setInputTxtFilePath(String inputTxtFilePath); + + @Validation.Required + @Description( + "Locks directory path where locks will be stored." + + "This parameter is needed for Hadoop External Synchronization" + + "(mechanism for acquiring locks related to the write job).") + String getLocksDirPath(); + + void setLocksDirPath(String locksDirPath); +} diff --git a/examples/java/cdap/hubspot/src/main/java/org/apache/beam/examples/complete/cdap/hubspot/options/CdapHubspotSourceOptions.java b/examples/java/cdap/hubspot/src/main/java/org/apache/beam/examples/complete/cdap/hubspot/options/CdapHubspotSourceOptions.java new file mode 100644 index 000000000000..fffd3a651a9d --- /dev/null +++ b/examples/java/cdap/hubspot/src/main/java/org/apache/beam/examples/complete/cdap/hubspot/options/CdapHubspotSourceOptions.java @@ -0,0 +1,36 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package org.apache.beam.examples.complete.cdap.hubspot.options; + +import org.apache.beam.sdk.options.Description; +import org.apache.beam.sdk.options.Validation; + +/** + * The {@link CdapHubspotSourceOptions} interface provides the custom execution options passed by + * the executor at the command-line for Cdap Hubspot Source examples. + */ +public interface CdapHubspotSourceOptions extends CdapHubspotOptions { + + @Validation.Required + @Description( + "Output .txt file path with file name prefix." + + "It will write a set of files with names like {prefix}-###.") + String getOutputTxtFilePathPrefix(); + + void setOutputTxtFilePathPrefix(String outputTxtFilePathPrefix); +} diff --git a/runners/google-cloud-dataflow-java/worker/src/main/java/org/apache/beam/runners/dataflow/worker/counters/CounterUpdateAggregator.java b/examples/java/cdap/hubspot/src/main/java/org/apache/beam/examples/complete/cdap/hubspot/options/CdapHubspotStreamingSourceOptions.java similarity index 51% rename from runners/google-cloud-dataflow-java/worker/src/main/java/org/apache/beam/runners/dataflow/worker/counters/CounterUpdateAggregator.java rename to examples/java/cdap/hubspot/src/main/java/org/apache/beam/examples/complete/cdap/hubspot/options/CdapHubspotStreamingSourceOptions.java index c6e393e8cbcd..9ff34b63b02f 100644 --- a/runners/google-cloud-dataflow-java/worker/src/main/java/org/apache/beam/runners/dataflow/worker/counters/CounterUpdateAggregator.java +++ b/examples/java/cdap/hubspot/src/main/java/org/apache/beam/examples/complete/cdap/hubspot/options/CdapHubspotStreamingSourceOptions.java @@ -15,24 +15,24 @@ * See the License for the specific language governing permissions and * limitations under the License. */ -package org.apache.beam.runners.dataflow.worker.counters; +package org.apache.beam.examples.complete.cdap.hubspot.options; -import com.google.api.services.dataflow.model.CounterUpdate; -import java.util.List; +import org.apache.beam.examples.complete.cdap.hubspot.CdapHubspotStreamingToTxt; +import org.apache.beam.sdk.options.Description; /** - * CounterUpdateAggregator performs aggregation over a list of CounterUpdate and return combined - * result. + * The {@link CdapHubspotSourceOptions} interface provides the custom execution options passed by + * the executor at the command-line for {@link CdapHubspotStreamingToTxt} example. */ -interface CounterUpdateAggregator { +public interface CdapHubspotStreamingSourceOptions extends CdapHubspotSourceOptions { - /** - * Implementation of aggregate function should provide logic to take the list of CounterUpdates - * and return single combined CounterUpdate object. Reporting the aggregated result to Dataflow - * should have same effect as reporting the elements in list individually to Dataflow. - * - * @param counterUpdates CounterUpdates to aggregate. - * @return Aggregated CounterUpdate. - */ - CounterUpdate aggregate(List counterUpdates); + @Description("Delay in seconds between polling for new records updates.") + Long getPullFrequencySec(); + + void setPullFrequencySec(Long pullFrequencySec); + + @Description("Inclusive start offset from which the reading should be started.") + Long getStartOffset(); + + void setStartOffset(Long startOffset); } diff --git a/runners/spark/src/main/java/org/apache/beam/runners/spark/aggregators/package-info.java b/examples/java/cdap/hubspot/src/main/java/org/apache/beam/examples/complete/cdap/hubspot/options/package-info.java similarity index 84% rename from runners/spark/src/main/java/org/apache/beam/runners/spark/aggregators/package-info.java rename to examples/java/cdap/hubspot/src/main/java/org/apache/beam/examples/complete/cdap/hubspot/options/package-info.java index 14264f1ea3c7..7a09ab16654f 100644 --- a/runners/spark/src/main/java/org/apache/beam/runners/spark/aggregators/package-info.java +++ b/examples/java/cdap/hubspot/src/main/java/org/apache/beam/examples/complete/cdap/hubspot/options/package-info.java @@ -16,5 +16,5 @@ * limitations under the License. */ -/** Provides internal utilities for implementing Beam aggregators using Spark accumulators. */ -package org.apache.beam.runners.spark.aggregators; +/** Cdap Plugins template. */ +package org.apache.beam.examples.complete.cdap.hubspot.options; diff --git a/runners/spark/3/src/main/java/org/apache/beam/runners/spark/structuredstreaming/aggregators/package-info.java b/examples/java/cdap/hubspot/src/main/java/org/apache/beam/examples/complete/cdap/hubspot/package-info.java similarity index 82% rename from runners/spark/3/src/main/java/org/apache/beam/runners/spark/structuredstreaming/aggregators/package-info.java rename to examples/java/cdap/hubspot/src/main/java/org/apache/beam/examples/complete/cdap/hubspot/package-info.java index 11a87eed8970..586de75943a8 100644 --- a/runners/spark/3/src/main/java/org/apache/beam/runners/spark/structuredstreaming/aggregators/package-info.java +++ b/examples/java/cdap/hubspot/src/main/java/org/apache/beam/examples/complete/cdap/hubspot/package-info.java @@ -16,5 +16,5 @@ * limitations under the License. */ -/** Provides internal utilities for implementing Beam aggregators using Spark accumulators. */ -package org.apache.beam.runners.spark.structuredstreaming.aggregators; +/** Cdap Plugins template. */ +package org.apache.beam.examples.complete.cdap.hubspot; diff --git a/examples/java/cdap/hubspot/src/main/java/org/apache/beam/examples/complete/cdap/hubspot/transforms/FormatInputTransform.java b/examples/java/cdap/hubspot/src/main/java/org/apache/beam/examples/complete/cdap/hubspot/transforms/FormatInputTransform.java new file mode 100644 index 000000000000..40b722e7d9cf --- /dev/null +++ b/examples/java/cdap/hubspot/src/main/java/org/apache/beam/examples/complete/cdap/hubspot/transforms/FormatInputTransform.java @@ -0,0 +1,94 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package org.apache.beam.examples.complete.cdap.hubspot.transforms; + +import static org.apache.beam.sdk.util.Preconditions.checkStateNotNull; + +import com.google.gson.JsonElement; +import io.cdap.plugin.hubspot.common.SourceHubspotConfig; +import io.cdap.plugin.hubspot.source.batch.HubspotBatchSource; +import io.cdap.plugin.hubspot.source.streaming.HubspotReceiver; +import io.cdap.plugin.hubspot.source.streaming.HubspotStreamingSource; +import io.cdap.plugin.hubspot.source.streaming.HubspotStreamingSourceConfig; +import java.util.Map; +import org.apache.beam.examples.complete.cdap.hubspot.utils.GetOffsetUtils; +import org.apache.beam.sdk.io.cdap.CdapIO; +import org.apache.beam.sdk.io.cdap.ConfigWrapper; +import org.apache.beam.sdk.io.cdap.Plugin; +import org.apache.hadoop.io.NullWritable; + +/** Different input transformations over the processed data in the pipeline. */ +public class FormatInputTransform { + + /** + * Configures Cdap Hubspot Read transform. + * + * @param pluginConfigParams Cdap Hubspot plugin config parameters + * @return configured Read transform + */ + public static CdapIO.Read readFromCdapHubspot( + Map pluginConfigParams) { + + final SourceHubspotConfig pluginConfig = + new ConfigWrapper<>(SourceHubspotConfig.class).withParams(pluginConfigParams).build(); + + checkStateNotNull(pluginConfig, "Plugin config can't be null."); + + return CdapIO.read() + .withCdapPluginClass(HubspotBatchSource.class) + .withPluginConfig(pluginConfig) + .withKeyClass(NullWritable.class) + .withValueClass(JsonElement.class); + } + + /** + * Configures Cdap Hubspot Streaming Read transform. + * + * @param pluginConfigParams Cdap Hubspot plugin config parameters + * @param pullFrequencySec Delay in seconds between polling for new records updates + * @param startOffset Inclusive start offset from which the reading should be started + * @return configured Read transform + */ + public static CdapIO.Read readFromCdapHubspotStreaming( + Map pluginConfigParams, Long pullFrequencySec, Long startOffset) { + + final HubspotStreamingSourceConfig pluginConfig = + new ConfigWrapper<>(HubspotStreamingSourceConfig.class) + .withParams(pluginConfigParams) + .build(); + checkStateNotNull(pluginConfig, "Plugin config can't be null."); + + CdapIO.Read read = + CdapIO.read() + .withCdapPlugin( + Plugin.createStreaming( + HubspotStreamingSource.class, + GetOffsetUtils.getOffsetFnForCdapPlugin(HubspotStreamingSource.class), + HubspotReceiver.class)) + .withPluginConfig(pluginConfig) + .withKeyClass(NullWritable.class) + .withValueClass(String.class); + if (pullFrequencySec != null) { + read = read.withPullFrequencySec(pullFrequencySec); + } + if (startOffset != null) { + read = read.withStartOffset(startOffset); + } + return read; + } +} diff --git a/examples/java/cdap/hubspot/src/main/java/org/apache/beam/examples/complete/cdap/hubspot/transforms/FormatOutputTransform.java b/examples/java/cdap/hubspot/src/main/java/org/apache/beam/examples/complete/cdap/hubspot/transforms/FormatOutputTransform.java new file mode 100644 index 000000000000..fa9fcb43138b --- /dev/null +++ b/examples/java/cdap/hubspot/src/main/java/org/apache/beam/examples/complete/cdap/hubspot/transforms/FormatOutputTransform.java @@ -0,0 +1,53 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package org.apache.beam.examples.complete.cdap.hubspot.transforms; + +import static org.apache.beam.sdk.util.Preconditions.checkStateNotNull; + +import io.cdap.cdap.api.plugin.PluginConfig; +import io.cdap.plugin.hubspot.sink.batch.HubspotBatchSink; +import io.cdap.plugin.hubspot.sink.batch.SinkHubspotConfig; +import java.util.Map; +import org.apache.beam.sdk.io.cdap.CdapIO; +import org.apache.beam.sdk.io.cdap.ConfigWrapper; +import org.apache.hadoop.io.NullWritable; + +/** Different output transformations over the processed data in the pipeline. */ +public class FormatOutputTransform { + + /** + * Configures Cdap Hubspot Write transform. + * + * @param pluginConfigParams Cdap Hubspot plugin config parameters + * @return configured Write transform to Cdap Hubspot + */ + public static CdapIO.Write writeToCdapHubspot( + Map pluginConfigParams, String locksDirPath) { + final PluginConfig pluginConfig = + new ConfigWrapper<>(SinkHubspotConfig.class).withParams(pluginConfigParams).build(); + + checkStateNotNull(pluginConfig, "Plugin config can't be null."); + + return CdapIO.write() + .withCdapPluginClass(HubspotBatchSink.class) + .withPluginConfig(pluginConfig) + .withKeyClass(NullWritable.class) + .withValueClass(String.class) + .withLocksDirPath(locksDirPath); + } +} diff --git a/examples/java/cdap/hubspot/src/main/java/org/apache/beam/examples/complete/cdap/hubspot/transforms/package-info.java b/examples/java/cdap/hubspot/src/main/java/org/apache/beam/examples/complete/cdap/hubspot/transforms/package-info.java new file mode 100644 index 000000000000..decc25721d31 --- /dev/null +++ b/examples/java/cdap/hubspot/src/main/java/org/apache/beam/examples/complete/cdap/hubspot/transforms/package-info.java @@ -0,0 +1,20 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +/** Cdap Plugins template. */ +package org.apache.beam.examples.complete.cdap.hubspot.transforms; diff --git a/examples/java/cdap/hubspot/src/main/java/org/apache/beam/examples/complete/cdap/hubspot/utils/GetOffsetUtils.java b/examples/java/cdap/hubspot/src/main/java/org/apache/beam/examples/complete/cdap/hubspot/utils/GetOffsetUtils.java new file mode 100644 index 000000000000..e59323ddaa3a --- /dev/null +++ b/examples/java/cdap/hubspot/src/main/java/org/apache/beam/examples/complete/cdap/hubspot/utils/GetOffsetUtils.java @@ -0,0 +1,74 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package org.apache.beam.examples.complete.cdap.hubspot.utils; + +import static org.apache.beam.sdk.util.Preconditions.checkArgumentNotNull; + +import com.google.gson.Gson; +import io.cdap.plugin.hubspot.source.streaming.HubspotStreamingSource; +import java.util.HashMap; +import org.apache.beam.sdk.io.cdap.Plugin; +import org.apache.beam.sdk.transforms.SerializableFunction; +import org.apache.beam.vendor.guava.v26_0_jre.com.google.common.reflect.TypeToken; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; + +/** + * Class for getting a {@link SerializableFunction} that defines how to get record offset for + * different CDAP {@link Plugin} classes. + */ +public class GetOffsetUtils { + + private static final Logger LOG = LoggerFactory.getLogger(GetOffsetUtils.class); + private static final Gson GSON = new Gson(); + + private static final String HUBSPOT_ID_FIELD = "vid"; + + /** + * Function for getting offset for given streaming Cdap {@link + * io.cdap.cdap.api.annotation.Plugin}. + */ + public static SerializableFunction getOffsetFnForCdapPlugin(Class pluginClass) { + if (HubspotStreamingSource.class.equals(pluginClass)) { + return getOffsetFnForHubspot(); + } + throw new UnsupportedOperationException( + String.format("Given plugin class '%s' is not supported!", pluginClass.getName())); + } + + /** + * Function for getting offset for Hubspot record that has {@link #HUBSPOT_ID_FIELD} number field. + */ + private static SerializableFunction getOffsetFnForHubspot() { + return input -> { + if (input != null) { + try { + HashMap json = + GSON.fromJson(input, new TypeToken>() {}.getType()); + checkArgumentNotNull(json, "Can not get JSON from Hubspot input string"); + Object id = json.get(HUBSPOT_ID_FIELD); + checkArgumentNotNull(id, "Can not get ID from Hubspot input string"); + return ((Double) id).longValue(); + } catch (Exception e) { + LOG.error("Can not get offset from json", e); + } + } + return 0L; + }; + } +} diff --git a/examples/java/cdap/hubspot/src/main/java/org/apache/beam/examples/complete/cdap/hubspot/utils/PluginConfigOptionsConverter.java b/examples/java/cdap/hubspot/src/main/java/org/apache/beam/examples/complete/cdap/hubspot/utils/PluginConfigOptionsConverter.java new file mode 100644 index 000000000000..ddcdd3004a8d --- /dev/null +++ b/examples/java/cdap/hubspot/src/main/java/org/apache/beam/examples/complete/cdap/hubspot/utils/PluginConfigOptionsConverter.java @@ -0,0 +1,53 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package org.apache.beam.examples.complete.cdap.hubspot.utils; + +import io.cdap.plugin.common.Constants; +import io.cdap.plugin.hubspot.common.BaseHubspotConfig; +import io.cdap.plugin.hubspot.source.streaming.HubspotStreamingSourceConfig; +import io.cdap.plugin.hubspot.source.streaming.PullFrequency; +import java.util.Map; +import org.apache.beam.examples.complete.cdap.hubspot.options.CdapHubspotOptions; +import org.apache.beam.examples.complete.cdap.hubspot.options.CdapHubspotStreamingSourceOptions; +import org.apache.beam.vendor.guava.v26_0_jre.com.google.common.collect.ImmutableMap; + +/** + * Class for converting CDAP {@link org.apache.beam.sdk.options.PipelineOptions} to map for {@link + * org.apache.beam.sdk.io.cdap.ConfigWrapper}. + */ +public class PluginConfigOptionsConverter { + + /** Returns map of parameters for Cdap Hubspot plugins. */ + public static Map hubspotOptionsToParamsMap(CdapHubspotOptions options) { + String apiServerUrl = options.getApiServerUrl(); + ImmutableMap.Builder builder = + ImmutableMap.builder() + .put( + BaseHubspotConfig.API_SERVER_URL, + apiServerUrl != null ? apiServerUrl : BaseHubspotConfig.DEFAULT_API_SERVER_URL) + .put(BaseHubspotConfig.AUTHORIZATION_TOKEN, options.getAuthToken()) + .put(BaseHubspotConfig.OBJECT_TYPE, options.getObjectType()) + .put(Constants.Reference.REFERENCE_NAME, options.getReferenceName()); + if (options instanceof CdapHubspotStreamingSourceOptions) { + // Hubspot PullFrequency value will be ignored as pull frequency is implemented differently in + // CdapIO, but it still needs to be passed for the plugin to work correctly. + builder.put(HubspotStreamingSourceConfig.PULL_FREQUENCY, PullFrequency.MINUTES_15.getName()); + } + return builder.build(); + } +} diff --git a/examples/java/cdap/hubspot/src/main/java/org/apache/beam/examples/complete/cdap/hubspot/utils/package-info.java b/examples/java/cdap/hubspot/src/main/java/org/apache/beam/examples/complete/cdap/hubspot/utils/package-info.java new file mode 100644 index 000000000000..bd6a3cea815a --- /dev/null +++ b/examples/java/cdap/hubspot/src/main/java/org/apache/beam/examples/complete/cdap/hubspot/utils/package-info.java @@ -0,0 +1,20 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +/** Cdap Plugins template. */ +package org.apache.beam.examples.complete.cdap.hubspot.utils; diff --git a/examples/java/cdap/hubspot/src/test/resources/example-txt-to-cdap-hubspot-companies.txt b/examples/java/cdap/hubspot/src/test/resources/example-txt-to-cdap-hubspot-companies.txt new file mode 100644 index 000000000000..dfeba37109d0 --- /dev/null +++ b/examples/java/cdap/hubspot/src/test/resources/example-txt-to-cdap-hubspot-companies.txt @@ -0,0 +1,20 @@ +{"properties":[{"name":"name","value":"Company 1 name"},{"name":"description","value":"Company 1 description"}]} +{"properties":[{"name":"name","value":"Company 2 name"},{"name":"description","value":"Company 2 description"}]} +{"properties":[{"name":"name","value":"Company 3 name"},{"name":"description","value":"Company 3 description"}]} +{"properties":[{"name":"name","value":"Company 4 name"},{"name":"description","value":"Company 4 description"}]} +{"properties":[{"name":"name","value":"Company 5 name"},{"name":"description","value":"Company 5 description"}]} +{"properties":[{"name":"name","value":"Company 6 name"},{"name":"description","value":"Company 6 description"}]} +{"properties":[{"name":"name","value":"Company 7 name"},{"name":"description","value":"Company 7 description"}]} +{"properties":[{"name":"name","value":"Company 8 name"},{"name":"description","value":"Company 8 description"}]} +{"properties":[{"name":"name","value":"Company 9 name"},{"name":"description","value":"Company 9 description"}]} +{"properties":[{"name":"name","value":"Company 10 name"},{"name":"description","value":"Company 10 description"}]} +{"properties":[{"name":"name","value":"Company 11 name"},{"name":"description","value":"Company 11 description"}]} +{"properties":[{"name":"name","value":"Company 12 name"},{"name":"description","value":"Company 12 description"}]} +{"properties":[{"name":"name","value":"Company 13 name"},{"name":"description","value":"Company 13 description"}]} +{"properties":[{"name":"name","value":"Company 14 name"},{"name":"description","value":"Company 14 description"}]} +{"properties":[{"name":"name","value":"Company 15 name"},{"name":"description","value":"Company 15 description"}]} +{"properties":[{"name":"name","value":"Company 16 name"},{"name":"description","value":"Company 16 description"}]} +{"properties":[{"name":"name","value":"Company 17 name"},{"name":"description","value":"Company 17 description"}]} +{"properties":[{"name":"name","value":"Company 18 name"},{"name":"description","value":"Company 18 description"}]} +{"properties":[{"name":"name","value":"Company 19 name"},{"name":"description","value":"Company 19 description"}]} +{"properties":[{"name":"name","value":"Company 20 name"},{"name":"description","value":"Company 20 description"}]} \ No newline at end of file diff --git a/examples/java/cdap/salesforce/build.gradle b/examples/java/cdap/salesforce/build.gradle new file mode 100644 index 000000000000..3bc6aaf26329 --- /dev/null +++ b/examples/java/cdap/salesforce/build.gradle @@ -0,0 +1,109 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * License); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +import groovy.json.JsonOutput + +plugins { + id 'java' + id 'org.apache.beam.module' + id 'com.github.johnrengelman.shadow' +} + +applyJavaNature( + exportJavadoc: false, + automaticModuleName: 'org.apache.beam.examples.complete.cdap.salesforce', +) + +description = "Apache Beam :: Examples :: Java :: CDAP :: Salesforce" +ext.summary = """Apache Beam SDK provides a simple, Java-based +interface for processing virtually any size data. This +artifact includes CDAP Salesforce Apache Beam Java SDK examples.""" + +/** Define the list of runners which execute a precommit test. + * Some runners are run from separate projects, see the preCommit task below + * for details. + */ +def preCommitRunners = ["directRunner", "flinkRunner"] +for (String runner : preCommitRunners) { + configurations.create(runner + "PreCommit") +} + +dependencies { + implementation enforcedPlatform(library.java.google_cloud_platform_libraries_bom) + implementation project(path: ":sdks:java:core", configuration: "shadow") + implementation project(":examples:java:cdap") + implementation project(":sdks:java:io:cdap") + implementation project(":sdks:java:io:hadoop-common") + implementation library.java.cdap_api + implementation library.java.cdap_api_commons + implementation library.java.cdap_etl_api + permitUnusedDeclared library.java.cdap_etl_api + implementation library.java.cdap_hydrator_common + //TODO: modify to 'implementation library.java.cdap_plugin_salesforce', + // when new release with HasOffset interface will be published + implementation "com.akvelon:cdap-salesforce-plugins:1.5.0" + implementation library.java.google_code_gson + implementation library.java.hadoop_common + implementation library.java.slf4j_api + implementation library.java.vendored_guava_26_0_jre + runtimeOnly project(path: ":runners:direct-java", configuration: "shadow") + + // Add dependencies for the PreCommit configurations + // For each runner a project level dependency on the examples project. + for (String runner : preCommitRunners) { + delegate.add(runner + "PreCommit", project(":examples:java:cdap:salesforce")) + delegate.add(runner + "PreCommit", project(path: ":examples:java:cdap:salesforce", configuration: "testRuntimeMigration")) + } + directRunnerPreCommit project(path: ":runners:direct-java", configuration: "shadow") + flinkRunnerPreCommit project(":runners:flink:${project.ext.latestFlinkVersion}") +} + +/* + * Create a ${runner}PreCommit task for each runner which runs a set + * of integration tests for WordCount and WindowedWordCount. + */ +def preCommitRunnerClass = [ + directRunner: "org.apache.beam.runners.direct.DirectRunner", + flinkRunner: "org.apache.beam.runners.flink.TestFlinkRunner" +] + +for (String runner : preCommitRunners) { + tasks.create(name: runner + "PreCommit", type: Test) { + def preCommitBeamTestPipelineOptions = [ + "--runner=" + preCommitRunnerClass[runner], + ] + classpath = configurations."${runner}PreCommit" + forkEvery 1 + maxParallelForks 4 + systemProperty "beamTestPipelineOptions", JsonOutput.toJson(preCommitBeamTestPipelineOptions) + } +} + +/* Define a common precommit task which depends on all the individual precommits. */ +task preCommit() { + for (String runner : preCommitRunners) { + dependsOn runner + "PreCommit" + } +} + +task executeCdapSalesforce (type:JavaExec) { + mainClass = System.getProperty("mainClass") + classpath = sourceSets.main.runtimeClasspath + systemProperties System.getProperties() + args System.getProperty("exec.args", "").split() +} diff --git a/examples/java/cdap/salesforce/src/main/java/org/apache/beam/examples/complete/cdap/salesforce/CdapSalesforceStreamingToTxt.java b/examples/java/cdap/salesforce/src/main/java/org/apache/beam/examples/complete/cdap/salesforce/CdapSalesforceStreamingToTxt.java new file mode 100644 index 000000000000..d35bb40c8388 --- /dev/null +++ b/examples/java/cdap/salesforce/src/main/java/org/apache/beam/examples/complete/cdap/salesforce/CdapSalesforceStreamingToTxt.java @@ -0,0 +1,154 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package org.apache.beam.examples.complete.cdap.salesforce; + +import java.util.Map; +import org.apache.beam.examples.complete.cdap.salesforce.options.CdapSalesforceStreamingSourceOptions; +import org.apache.beam.examples.complete.cdap.salesforce.transforms.FormatInputTransform; +import org.apache.beam.examples.complete.cdap.salesforce.utils.PluginConfigOptionsConverter; +import org.apache.beam.sdk.Pipeline; +import org.apache.beam.sdk.PipelineResult; +import org.apache.beam.sdk.coders.KvCoder; +import org.apache.beam.sdk.coders.NullableCoder; +import org.apache.beam.sdk.coders.StringUtf8Coder; +import org.apache.beam.sdk.io.TextIO; +import org.apache.beam.sdk.io.hadoop.WritableCoder; +import org.apache.beam.sdk.options.PipelineOptionsFactory; +import org.apache.beam.sdk.transforms.Values; +import org.apache.beam.sdk.transforms.windowing.AfterProcessingTime; +import org.apache.beam.sdk.transforms.windowing.GlobalWindows; +import org.apache.beam.sdk.transforms.windowing.Repeatedly; +import org.apache.beam.sdk.transforms.windowing.Window; +import org.apache.beam.sdk.values.KV; +import org.apache.hadoop.io.NullWritable; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; + +/** + * The {@link CdapSalesforceStreamingToTxt} pipeline is a streaming pipeline which ingests data in + * JSON format from CDAP Salesforce, and outputs the resulting records to .txt file. Salesforce + * parameters and output .txt file path are specified by the user as template parameters.
+ * + *

Example Usage + * + *

+ * # Gradle preparation
+ *
+ * To run this example your {@code build.gradle} file should contain the following task
+ * to execute the pipeline:
+ * {@code
+ * task executeCdap (type:JavaExec) {
+ *     mainClass = System.getProperty("mainClass")
+ *     classpath = sourceSets.main.runtimeClasspath
+ *     systemProperties System.getProperties()
+ *     args System.getProperty("exec.args", "").split()
+ * }
+ * }
+ *
+ * This task allows to run the pipeline via the following command:
+ * {@code
+ * gradle clean executeCdap -DmainClass=org.apache.beam.examples.complete.cdap.salesforce.CdapSalesforceStreamingToTxt \
+ *      -Dexec.args="--= --="
+ * }
+ *
+ * # Running the pipeline
+ * To execute this pipeline, specify the parameters in the following format:
+ * {@code
+ * --username=your-user-name\
+ * --password=your-password \
+ * --securityToken=your-token \
+ * --consumerKey=your-key \
+ * --consumerSecret=your-secret \
+ * --loginUrl=your-login-url \
+ * --sObjectName=object-name \
+ * --pushTopicName=your-push-topic-name \
+ * --referenceName=your-reference-name \
+ * --outputTxtFilePathPrefix=your-path-to-output-folder-with-filename-prefix \
+ * --pullFrequencySec=1 \
+ * --startOffset=0
+ * }
+ *
+ * By default this will run the pipeline locally with the DirectRunner. To change the runner, specify:
+ * {@code
+ * --runner=YOUR_SELECTED_RUNNER
+ * }
+ * 
+ */ +public class CdapSalesforceStreamingToTxt { + + /* Logger for class.*/ + private static final Logger LOG = LoggerFactory.getLogger(CdapSalesforceStreamingToTxt.class); + + /** + * Main entry point for pipeline execution. + * + * @param args Command line arguments to the pipeline. + */ + public static void main(String[] args) { + CdapSalesforceStreamingSourceOptions options = + PipelineOptionsFactory.fromArgs(args) + .withValidation() + .as(CdapSalesforceStreamingSourceOptions.class); + + // Create the pipeline + Pipeline pipeline = Pipeline.create(options); + run(pipeline, options); + } + + /** + * Runs a pipeline which reads records from CDAP Salesforce and writes them to .txt file. + * + * @param options arguments to the pipeline + */ + public static PipelineResult run( + Pipeline pipeline, CdapSalesforceStreamingSourceOptions options) { + Map paramsMap = + PluginConfigOptionsConverter.salesforceStreamingSourceOptionsToParamsMap(options); + LOG.info("Starting Cdap-Salesforce-streaming-to-txt pipeline with parameters: {}", paramsMap); + + /* + * Steps: + * 1) Read messages in from Cdap Salesforce + * 2) Extract values only + * 3) Write successful records to .txt file + */ + + pipeline + .apply( + "readFromCdapSalesforceStreaming", + FormatInputTransform.readFromCdapSalesforceStreaming( + paramsMap, options.getPullFrequencySec(), options.getStartOffset())) + .setCoder( + KvCoder.of( + NullableCoder.of(WritableCoder.of(NullWritable.class)), StringUtf8Coder.of())) + .apply( + "globalwindow", + Window.>into(new GlobalWindows()) + .triggering(Repeatedly.forever(AfterProcessingTime.pastFirstElementInPane())) + .discardingFiredPanes()) + .apply(Values.create()) + .apply( + "writeToTxt", + TextIO.write() + .withWindowedWrites() + .withNumShards(1) + .to(options.getOutputTxtFilePathPrefix())); + + return pipeline.run(); + } +} diff --git a/examples/java/cdap/salesforce/src/main/java/org/apache/beam/examples/complete/cdap/salesforce/CdapSalesforceToTxt.java b/examples/java/cdap/salesforce/src/main/java/org/apache/beam/examples/complete/cdap/salesforce/CdapSalesforceToTxt.java new file mode 100644 index 000000000000..5584635a0062 --- /dev/null +++ b/examples/java/cdap/salesforce/src/main/java/org/apache/beam/examples/complete/cdap/salesforce/CdapSalesforceToTxt.java @@ -0,0 +1,137 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package org.apache.beam.examples.complete.cdap.salesforce; + +import io.cdap.cdap.api.data.schema.Schema; +import java.util.LinkedHashMap; +import java.util.Map; +import org.apache.beam.examples.complete.cdap.salesforce.options.CdapSalesforceSourceOptions; +import org.apache.beam.examples.complete.cdap.salesforce.transforms.FormatInputTransform; +import org.apache.beam.examples.complete.cdap.salesforce.utils.PluginConfigOptionsConverter; +import org.apache.beam.sdk.Pipeline; +import org.apache.beam.sdk.PipelineResult; +import org.apache.beam.sdk.coders.KvCoder; +import org.apache.beam.sdk.coders.SerializableCoder; +import org.apache.beam.sdk.coders.StringUtf8Coder; +import org.apache.beam.sdk.io.TextIO; +import org.apache.beam.sdk.options.PipelineOptionsFactory; +import org.apache.beam.sdk.transforms.MapValues; +import org.apache.beam.sdk.transforms.Values; +import org.apache.beam.sdk.values.TypeDescriptors; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; + +/** + * The {@link CdapSalesforceToTxt} pipeline is a batch pipeline which ingests data in JSON format + * from CDAP Salesforce, and outputs the resulting records to .txt file. Salesforce parameters and + * output txt file path are specified by the user as template parameters.
+ * + *

Example Usage + * + *

+ * # Gradle preparation
+ *
+ * To run this example your {@code build.gradle} file should contain the following task
+ * to execute the pipeline:
+ * {@code
+ * task executeCdap (type:JavaExec) {
+ *     mainClass = System.getProperty("mainClass")
+ *     classpath = sourceSets.main.runtimeClasspath
+ *     systemProperties System.getProperties()
+ *     args System.getProperty("exec.args", "").split()
+ * }
+ * }
+ *
+ * This task allows to run the pipeline via the following command:
+ * {@code
+ * gradle clean executeCdap -DmainClass=org.apache.beam.examples.complete.cdap.salesforce.CdapSalesforceToTxt \
+ *      -Dexec.args="--= --="
+ * }
+ *
+ * # Running the pipeline
+ * To execute this pipeline, specify the parameters in the following format:
+ * {@code
+ * --username=your-user-name\
+ * --password=your-password \
+ * --securityToken=your-token \
+ * --consumerKey=your-key \
+ * --consumerSecret=your-secret \
+ * --loginUrl=your-login-url \
+ * --sObjectName=object-name \
+ * --referenceName=your-reference-name \
+ * --outputTxtFilePathPrefix=your-path-to-output-folder-with-filename-prefix
+ * }
+ *
+ * By default this will run the pipeline locally with the DirectRunner. To change the runner, specify:
+ * {@code
+ * --runner=YOUR_SELECTED_RUNNER
+ * }
+ * 
+ */ +public class CdapSalesforceToTxt { + + /* Logger for class.*/ + private static final Logger LOG = LoggerFactory.getLogger(CdapSalesforceToTxt.class); + + /** + * Main entry point for pipeline execution. + * + * @param args Command line arguments to the pipeline. + */ + public static void main(String[] args) { + CdapSalesforceSourceOptions options = + PipelineOptionsFactory.fromArgs(args) + .withValidation() + .as(CdapSalesforceSourceOptions.class); + + // Create the pipeline + Pipeline pipeline = Pipeline.create(options); + run(pipeline, options); + } + + /** + * Runs a pipeline which reads records from CDAP Salesforce plugin. + * + * @param options arguments to the pipeline + */ + @SuppressWarnings("rawtypes") + public static PipelineResult run(Pipeline pipeline, CdapSalesforceSourceOptions options) { + Map paramsMap = + PluginConfigOptionsConverter.salesforceBatchSourceOptionsToParamsMap(options); + LOG.info("Starting Cdap-Salesforce pipeline with parameters: {}", paramsMap); + + /* + * Steps: + * 1) Read messages from Cdap Salesforce + * 2) Extract values only + * 3) Write successful records to .txt file + */ + + pipeline + .apply("readFromCdapSalesforce", FormatInputTransform.readFromCdapSalesforce(paramsMap)) + .setCoder( + KvCoder.of( + SerializableCoder.of(Schema.class), SerializableCoder.of(LinkedHashMap.class))) + .apply(MapValues.into(TypeDescriptors.strings()).via(LinkedHashMap::toString)) + .setCoder(KvCoder.of(SerializableCoder.of(Schema.class), StringUtf8Coder.of())) + .apply(Values.create()) + .apply("writeToTxt", TextIO.write().to(options.getOutputTxtFilePathPrefix())); + + return pipeline.run(); + } +} diff --git a/examples/java/cdap/salesforce/src/main/java/org/apache/beam/examples/complete/cdap/salesforce/README.md b/examples/java/cdap/salesforce/src/main/java/org/apache/beam/examples/complete/cdap/salesforce/README.md new file mode 100644 index 000000000000..0088467f8adf --- /dev/null +++ b/examples/java/cdap/salesforce/src/main/java/org/apache/beam/examples/complete/cdap/salesforce/README.md @@ -0,0 +1,123 @@ + + +## Gradle preparation + +To run this example your `build.gradle` file should contain the following task to execute the pipeline: + +``` +task executeCdapSalesforce (type:JavaExec) { + mainClass = System.getProperty("mainClass") + classpath = sourceSets.main.runtimeClasspath + systemProperties System.getProperties() + args System.getProperty("exec.args", "").split() +} +``` + +## Running the CdapSalesforceToTxt pipeline example + +Gradle 'executeCdapSalesforce' task allows to run the pipeline via the following command: + +```bash +gradle clean executeCdapSalesforce -DmainClass=org.apache.beam.examples.complete.cdap.salesforce.CdapSalesforceToTxt \ + -Dexec.args="--= --=" +``` + +To execute this pipeline, specify the parameters in the following format: + +```bash + --username=your-user-name\ + --password=your-password \ + --securityToken=your-token \ + --consumerKey=your-key \ + --consumerSecret=your-secret \ + --loginUrl=your-login-url \ + --sObjectName=object-name \ + --referenceName=your-reference-name \ + --outputTxtFilePathPrefix=your-path-to-output-folder-with-filename-prefix +``` + +Please see CDAP [Salesforce Batch Source](https://github.com/data-integrations/servicenow-plugins/blob/develop/docs/ServiceNow-batchsource.md) for more information. + +## Running the TxtToCdapSalesforce pipeline example + +Gradle 'executeCdapSalesforce' task allows to run the pipeline via the following command: + +```bash +gradle clean executeCdapSalesforce -DmainClass=org.apache.beam.examples.complete.cdap.salesforce.TxtToCdapSalesforce \ + -Dexec.args="--= --=" +``` + +To execute this pipeline, specify the parameters in the following format: + +```bash + --username=your-user-name\ + --password=your-password \ + --securityToken=your-token \ + --consumerKey=your-key \ + --consumerSecret=your-secret \ + --loginUrl=your-login-url \ + --sObject=CustomObject__c \ + --referenceName=your-reference-name \ + --inputTxtFilePath=your-path-to-txt-file \ + --operation=Insert \ + --errorHandling=Stop on error \ + --maxRecordsPerBatch=10 \ + --maxBytesPerBatch=9999999 \ + --locksDirPath=your-path +``` +Please see CDAP [Salesforce Batch Sink](https://github.com/data-integrations/salesforce/blob/develop/docs/Salesforce-batchsink.md) for more information. + +## Running the CdapSalesforceStreamingToTxt pipeline example + +Gradle 'executeCdapSalesforce' task allows to run the pipeline via the following command: + +```bash +gradle clean executeCdapSalesforce -DmainClass=org.apache.beam.examples.complete.cdap.salesforce.CdapSalesforceStreamingToTxt \ + -Dexec.args="--= --=" +``` + +`CdapSalesforceStreamingToTxt` pipeline parameters: +- `username` - Salesforce username. +- `password` - Salesforce user password. +- `securityToken` - Salesforce security token. +- `consumerKey` - Salesforce connected app's consumer key. +- `consumerSecret` - Salesforce connected app's consumer secret. +- `loginUrl` - Salesforce endpoint to authenticate to. Example: *'https://MyDomainName.my.salesforce.com/services/oauth2/token'*. +- `sObjectName` - Salesforce object to pull supported by CDAP Salesforce Streaming Source. +- `pushTopicName` - name of the push topic that was created from query for some sObject. This push topic should have enabled *pushTopicNotifyCreate* property. + If push topic with such name doesn't exist, then new push topic for provided **'sObjectName'** will be created automatically. +- `pullFrequencySec` - delay in seconds between polling for new records updates. (Optional) +- `startOffset` - inclusive start offset from which the reading should be started. (Optional) + +Please see [CDAP Salesforce](https://github.com/data-integrations/salesforce) for more information. +Also, please see documentation regarding Salesforce streaming API authorization [here](https://developer.salesforce.com/docs/atlas.en-us.api_streaming.meta/api_streaming/code_sample_auth_oauth.htm). + +To execute this pipeline, specify the parameters in the following format: + +```bash + --username=your-user-name\ + --password=your-password \ + --securityToken=your-token \ + --consumerKey=your-key \ + --consumerSecret=your-secret \ + --loginUrl=your-login-url \ + --sObjectName=object-name \ + --pushTopicName=your-topic-name \ + --pullFrequencySec=100 \ + --startOffset=1000 +``` diff --git a/examples/java/cdap/salesforce/src/main/java/org/apache/beam/examples/complete/cdap/salesforce/TxtToCdapSalesforce.java b/examples/java/cdap/salesforce/src/main/java/org/apache/beam/examples/complete/cdap/salesforce/TxtToCdapSalesforce.java new file mode 100644 index 000000000000..17828f2d23c8 --- /dev/null +++ b/examples/java/cdap/salesforce/src/main/java/org/apache/beam/examples/complete/cdap/salesforce/TxtToCdapSalesforce.java @@ -0,0 +1,151 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package org.apache.beam.examples.complete.cdap.salesforce; + +import static org.apache.beam.sdk.util.Preconditions.checkStateNotNull; + +import com.google.gson.Gson; +import io.cdap.plugin.salesforce.plugin.sink.batch.CSVRecord; +import java.util.Map; +import org.apache.beam.examples.complete.cdap.salesforce.options.CdapSalesforceSinkOptions; +import org.apache.beam.examples.complete.cdap.salesforce.transforms.FormatOutputTransform; +import org.apache.beam.examples.complete.cdap.salesforce.utils.CsvRecordCoder; +import org.apache.beam.examples.complete.cdap.salesforce.utils.PluginConfigOptionsConverter; +import org.apache.beam.sdk.Pipeline; +import org.apache.beam.sdk.PipelineResult; +import org.apache.beam.sdk.coders.KvCoder; +import org.apache.beam.sdk.coders.NullableCoder; +import org.apache.beam.sdk.io.TextIO; +import org.apache.beam.sdk.io.hadoop.WritableCoder; +import org.apache.beam.sdk.options.PipelineOptionsFactory; +import org.apache.beam.sdk.transforms.MapElements; +import org.apache.beam.sdk.values.KV; +import org.apache.beam.sdk.values.TypeDescriptor; +import org.apache.hadoop.io.NullWritable; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; + +/** + * The {@link TxtToCdapSalesforce} pipeline is a batch pipeline which ingests data from .txt file, + * and outputs the resulting records to Salesforce. Salesforce parameters and input .txt file path + * are specified by the user as template parameters.
+ * + *

Example Usage + * + *

+ * # Gradle preparation
+ *
+ * To run this example your {@code build.gradle} file should contain the following task
+ * to execute the pipeline:
+ * {@code
+ * task executeCdap (type:JavaExec) {
+ *     mainClass = System.getProperty("mainClass")
+ *     classpath = sourceSets.main.runtimeClasspath
+ *     systemProperties System.getProperties()
+ *     args System.getProperty("exec.args", "").split()
+ * }
+ * }
+ *
+ * This task allows to run the pipeline via the following command:
+ * {@code
+ * gradle clean executeCdap -DmainClass=org.apache.beam.examples.complete.cdap.salesforce.TxtToCdapSalesforce \
+ *      -Dexec.args="--= --="
+ * }
+ *
+ * # Running the pipeline
+ * To execute this pipeline, specify the parameters in the following format:
+ * {@code
+ * --username=your-user-name\
+ * --password=your-password \
+ * --securityToken=your-token \
+ * --consumerKey=your-key \
+ * --consumerSecret=your-secret \
+ * --loginUrl=your-login-url \
+ * --sObject=CustomObject__c \
+ * --referenceName=your-reference-name \
+ * --inputTxtFilePath=your-path-to-input-file \
+ * --maxRecordsPerBatch=10 \
+ * --maxBytesPerBatch=9999999 \
+ * --operation=Insert \
+ * --errorHandling=Stop on error
+ * }
+ *
+ * By default this will run the pipeline locally with the DirectRunner. To change the runner, specify:
+ * {@code
+ * --runner=YOUR_SELECTED_RUNNER
+ * }
+ * 
+ */ +public class TxtToCdapSalesforce { + + private static final Gson GSON = new Gson(); + + /* Logger for class.*/ + private static final Logger LOG = LoggerFactory.getLogger(TxtToCdapSalesforce.class); + + /** + * Main entry point for pipeline execution. + * + * @param args Command line arguments to the pipeline. + */ + public static void main(String[] args) { + CdapSalesforceSinkOptions options = + PipelineOptionsFactory.fromArgs(args).withValidation().as(CdapSalesforceSinkOptions.class); + + checkStateNotNull(options.getLocksDirPath(), "locksDirPath can not be null!"); + + // Create the pipeline + Pipeline pipeline = Pipeline.create(options); + run(pipeline, options); + } + + /** + * Runs a pipeline which reads records from .txt file and writes it to CDAP Salesforce. + * + * @param options arguments to the pipeline + */ + public static PipelineResult run(Pipeline pipeline, CdapSalesforceSinkOptions options) { + Map paramsMap = + PluginConfigOptionsConverter.salesforceBatchSinkOptionsToParamsMap(options); + LOG.info("Starting Txt-to-Cdap-Salesforce pipeline with parameters: {}", paramsMap); + + /* + * Steps: + * 1) Read messages in from .txt file + * 2) Map to KV + * 3) Write successful records to Cdap Salesforce + */ + + pipeline + .apply("readFromTxt", TextIO.read().from(options.getInputTxtFilePath())) + .apply( + MapElements.into(new TypeDescriptor>() {}) + .via( + json -> { + CSVRecord csvRecord = GSON.fromJson(json, CSVRecord.class); + return KV.of(NullWritable.get(), csvRecord); + })) + .setCoder( + KvCoder.of(NullableCoder.of(WritableCoder.of(NullWritable.class)), CsvRecordCoder.of())) + .apply( + "writeToCdapSalesforce", + FormatOutputTransform.writeToCdapSalesforce(paramsMap, options.getLocksDirPath())); + + return pipeline.run(); + } +} diff --git a/examples/java/cdap/salesforce/src/main/java/org/apache/beam/examples/complete/cdap/salesforce/options/CdapSalesforceOptions.java b/examples/java/cdap/salesforce/src/main/java/org/apache/beam/examples/complete/cdap/salesforce/options/CdapSalesforceOptions.java new file mode 100644 index 000000000000..f10c7674255f --- /dev/null +++ b/examples/java/cdap/salesforce/src/main/java/org/apache/beam/examples/complete/cdap/salesforce/options/CdapSalesforceOptions.java @@ -0,0 +1,66 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package org.apache.beam.examples.complete.cdap.salesforce.options; + +import io.cdap.plugin.salesforce.SalesforceConstants; +import org.apache.beam.examples.complete.cdap.options.BaseCdapOptions; +import org.apache.beam.sdk.options.Description; +import org.apache.beam.sdk.options.Validation; + +/** + * The {@link CdapSalesforceOptions} interface provides the custom execution options passed by the + * executor at the command-line for example with Cdap Salesfroce plugins. + */ +public interface CdapSalesforceOptions extends BaseCdapOptions { + + @Validation.Required + @Description(SalesforceConstants.PROPERTY_USERNAME) + String getUsername(); + + void setUsername(String username); + + @Validation.Required + @Description(SalesforceConstants.PROPERTY_PASSWORD) + String getPassword(); + + void setPassword(String password); + + @Validation.Required + @Description(SalesforceConstants.PROPERTY_SECURITY_TOKEN) + String getSecurityToken(); + + void setSecurityToken(String securityToken); + + @Validation.Required + @Description(SalesforceConstants.PROPERTY_CONSUMER_KEY) + String getConsumerKey(); + + void setConsumerKey(String consumerKey); + + @Validation.Required + @Description(SalesforceConstants.PROPERTY_CONSUMER_SECRET) + String getConsumerSecret(); + + void setConsumerSecret(String consumerSecret); + + @Validation.Required + @Description(SalesforceConstants.PROPERTY_LOGIN_URL) + String getLoginUrl(); + + void setLoginUrl(String loginUrl); +} diff --git a/examples/java/cdap/salesforce/src/main/java/org/apache/beam/examples/complete/cdap/salesforce/options/CdapSalesforceSinkOptions.java b/examples/java/cdap/salesforce/src/main/java/org/apache/beam/examples/complete/cdap/salesforce/options/CdapSalesforceSinkOptions.java new file mode 100644 index 000000000000..0856fe86fd58 --- /dev/null +++ b/examples/java/cdap/salesforce/src/main/java/org/apache/beam/examples/complete/cdap/salesforce/options/CdapSalesforceSinkOptions.java @@ -0,0 +1,86 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package org.apache.beam.examples.complete.cdap.salesforce.options; + +import org.apache.beam.examples.complete.cdap.salesforce.TxtToCdapSalesforce; +import org.apache.beam.sdk.options.Description; +import org.apache.beam.sdk.options.Validation; + +/** + * The {@link CdapSalesforceSinkOptions} interface provides the custom execution options passed by + * the executor at the command-line for {@link TxtToCdapSalesforce} example. + */ +public interface CdapSalesforceSinkOptions extends CdapSalesforceOptions { + + @Validation.Required + @Description( + "Strategy used to handle erroneous records.\n" + + "SKIP - Ignores erroneous records.\n" + + "STOP - Fails pipeline due to erroneous record.") + String getErrorHandling(); + + void setErrorHandling(String errorHandling); + + @Validation.Required + @Description( + "Maximum size in bytes of a batch of records when writing to Salesforce. " + + "This value cannot be greater than 10,000,000.") + String getMaxBytesPerBatch(); + + void setMaxBytesPerBatch(String maxBytesPerBatch); + + @Validation.Required + @Description( + "Maximum number of records to include in a batch when writing to Salesforce." + + "This value cannot be greater than 10,000.") + String getMaxRecordsPerBatch(); + + void setMaxRecordsPerBatch(String maxRecordsPerBatch); + + @Validation.Required + @Description( + "Operation used for sinking data into Salesforce.\n" + + "Insert - adds records.\n" + + "Upsert - upserts the records. Salesforce will decide if sObjects " + + "are the same using external id field.\n" + + "Update - updates existing records based on Id field.") + String getOperation(); + + void setOperation(String operation); + + @Validation.Required + @Description("Salesforce object name to insert records into.") + String getsObject(); + + void setsObject(String sObject); + + @Validation.Required + @Description( + "Locks directory path where locks will be stored." + + "This parameter is needed for Hadoop External Synchronization" + + "(mechanism for acquiring locks related to the write job).") + String getLocksDirPath(); + + void setLocksDirPath(String locksDirPath); + + @Validation.Required + @Description("Input .txt file path with Salesforce records.") + String getInputTxtFilePath(); + + void setInputTxtFilePath(String inputTxtFilePath); +} diff --git a/examples/java/cdap/salesforce/src/main/java/org/apache/beam/examples/complete/cdap/salesforce/options/CdapSalesforceSourceOptions.java b/examples/java/cdap/salesforce/src/main/java/org/apache/beam/examples/complete/cdap/salesforce/options/CdapSalesforceSourceOptions.java new file mode 100644 index 000000000000..5f10c5c0223a --- /dev/null +++ b/examples/java/cdap/salesforce/src/main/java/org/apache/beam/examples/complete/cdap/salesforce/options/CdapSalesforceSourceOptions.java @@ -0,0 +1,44 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package org.apache.beam.examples.complete.cdap.salesforce.options; + +import io.cdap.plugin.salesforce.plugin.source.batch.util.SalesforceSourceConstants; +import org.apache.beam.examples.complete.cdap.salesforce.CdapSalesforceToTxt; +import org.apache.beam.sdk.options.Description; +import org.apache.beam.sdk.options.Validation; + +/** + * The {@link CdapSalesforceSourceOptions} interface provides the custom execution options passed by + * the executor at the command-line for {@link CdapSalesforceToTxt} example. + */ +public interface CdapSalesforceSourceOptions extends CdapSalesforceOptions { + + @Validation.Required + @Description(SalesforceSourceConstants.PROPERTY_SOBJECT_NAME) + String getSObjectName(); + + void setSObjectName(String sObjectName); + + @Validation.Required + @Description( + "Path to output folder with filename prefix." + + "It will write a set of .txt files with names like {prefix}-###.") + String getOutputTxtFilePathPrefix(); + + void setOutputTxtFilePathPrefix(String outputTxtFilePathPrefix); +} diff --git a/examples/java/cdap/salesforce/src/main/java/org/apache/beam/examples/complete/cdap/salesforce/options/CdapSalesforceStreamingSourceOptions.java b/examples/java/cdap/salesforce/src/main/java/org/apache/beam/examples/complete/cdap/salesforce/options/CdapSalesforceStreamingSourceOptions.java new file mode 100644 index 000000000000..46b5d5dc9446 --- /dev/null +++ b/examples/java/cdap/salesforce/src/main/java/org/apache/beam/examples/complete/cdap/salesforce/options/CdapSalesforceStreamingSourceOptions.java @@ -0,0 +1,45 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package org.apache.beam.examples.complete.cdap.salesforce.options; + +import org.apache.beam.examples.complete.cdap.salesforce.CdapSalesforceStreamingToTxt; +import org.apache.beam.sdk.options.Description; +import org.apache.beam.sdk.options.Validation; + +/** + * The {@link CdapSalesforceStreamingSourceOptions} interface provides the custom execution options + * passed by the executor at the command-line for {@link CdapSalesforceStreamingToTxt} example. + */ +public interface CdapSalesforceStreamingSourceOptions extends CdapSalesforceSourceOptions { + + @Validation.Required + @Description("Salesforce push topic name. Plugin will track updates from this topic.") + String getPushTopicName(); + + void setPushTopicName(String pushTopicName); + + @Description("Delay in seconds between polling for new records updates.") + Long getPullFrequencySec(); + + void setPullFrequencySec(Long pullFrequencySec); + + @Description("Inclusive start offset from which the reading should be started.") + Long getStartOffset(); + + void setStartOffset(Long startOffset); +} diff --git a/examples/java/cdap/salesforce/src/main/java/org/apache/beam/examples/complete/cdap/salesforce/options/package-info.java b/examples/java/cdap/salesforce/src/main/java/org/apache/beam/examples/complete/cdap/salesforce/options/package-info.java new file mode 100644 index 000000000000..ae1a86cd4df5 --- /dev/null +++ b/examples/java/cdap/salesforce/src/main/java/org/apache/beam/examples/complete/cdap/salesforce/options/package-info.java @@ -0,0 +1,20 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +/** Cdap Plugins template. */ +package org.apache.beam.examples.complete.cdap.salesforce.options; diff --git a/examples/java/cdap/salesforce/src/main/java/org/apache/beam/examples/complete/cdap/salesforce/package-info.java b/examples/java/cdap/salesforce/src/main/java/org/apache/beam/examples/complete/cdap/salesforce/package-info.java new file mode 100644 index 000000000000..6e124ed9c234 --- /dev/null +++ b/examples/java/cdap/salesforce/src/main/java/org/apache/beam/examples/complete/cdap/salesforce/package-info.java @@ -0,0 +1,20 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +/** Cdap Plugins template. */ +package org.apache.beam.examples.complete.cdap.salesforce; diff --git a/examples/java/cdap/salesforce/src/main/java/org/apache/beam/examples/complete/cdap/salesforce/transforms/FormatInputTransform.java b/examples/java/cdap/salesforce/src/main/java/org/apache/beam/examples/complete/cdap/salesforce/transforms/FormatInputTransform.java new file mode 100644 index 000000000000..049d9c482643 --- /dev/null +++ b/examples/java/cdap/salesforce/src/main/java/org/apache/beam/examples/complete/cdap/salesforce/transforms/FormatInputTransform.java @@ -0,0 +1,106 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package org.apache.beam.examples.complete.cdap.salesforce.transforms; + +import static org.apache.beam.sdk.util.Preconditions.checkStateNotNull; + +import io.cdap.cdap.api.data.schema.Schema; +import io.cdap.plugin.salesforce.plugin.source.batch.SalesforceBatchSource; +import io.cdap.plugin.salesforce.plugin.source.batch.SalesforceSourceConfig; +import io.cdap.plugin.salesforce.plugin.source.streaming.SalesforceReceiver; +import io.cdap.plugin.salesforce.plugin.source.streaming.SalesforceStreamingSource; +import io.cdap.plugin.salesforce.plugin.source.streaming.SalesforceStreamingSourceConfig; +import java.util.LinkedHashMap; +import java.util.Map; +import org.apache.beam.examples.complete.cdap.salesforce.utils.GetOffsetUtils; +import org.apache.beam.sdk.io.cdap.CdapIO; +import org.apache.beam.sdk.io.cdap.ConfigWrapper; +import org.apache.beam.sdk.io.cdap.Plugin; +import org.apache.hadoop.io.NullWritable; + +/** Different input transformations over the processed data in the pipeline. */ +public class FormatInputTransform { + + /** + * Configures Cdap Salesforce Read transform. + * + * @param pluginConfigParams Cdap Salesforce plugin config parameters + * @return configured Read transform + */ + @SuppressWarnings("rawtypes") + public static CdapIO.Read readFromCdapSalesforce( + Map pluginConfigParams) { + + final SalesforceSourceConfig pluginConfig = + new ConfigWrapper<>(SalesforceSourceConfig.class).withParams(pluginConfigParams).build(); + + checkStateNotNull(pluginConfig, "Plugin config can't be null."); + + return CdapIO.read() + .withCdapPluginClass(SalesforceBatchSource.class) + .withPluginConfig(pluginConfig) + .withKeyClass(Schema.class) + .withValueClass(LinkedHashMap.class); + } + + /** + * Configures Cdap Salesforce Streaming Read transform. + * + * @param pluginConfigParams Cdap Hubspot plugin config parameters + * @param pullFrequencySec Delay in seconds between polling for new records updates + * @param startOffset Inclusive start offset from which the reading should be started + * @return configured Read transform + */ + public static CdapIO.Read readFromCdapSalesforceStreaming( + Map pluginConfigParams, Long pullFrequencySec, Long startOffset) { + + final SalesforceStreamingSourceConfig pluginConfig = + new ConfigWrapper<>(SalesforceStreamingSourceConfig.class) + .withParams(pluginConfigParams) + .build(); + checkStateNotNull(pluginConfig, "Plugin config can't be null."); + + pluginConfig.ensurePushTopicExistAndWithCorrectFields(); + + CdapIO.Read read = + CdapIO.read() + .withCdapPlugin( + Plugin.createStreaming( + SalesforceStreamingSource.class, + GetOffsetUtils.getOffsetFnForCdapPlugin(SalesforceStreamingSource.class), + SalesforceReceiver.class, + config -> { + SalesforceStreamingSourceConfig salesforceConfig = + (SalesforceStreamingSourceConfig) config; + return new Object[] { + salesforceConfig.getAuthenticatorCredentials(), + salesforceConfig.getPushTopicName() + }; + })) + .withPluginConfig(pluginConfig) + .withKeyClass(NullWritable.class) + .withValueClass(String.class); + if (pullFrequencySec != null) { + read = read.withPullFrequencySec(pullFrequencySec); + } + if (startOffset != null) { + read = read.withStartOffset(startOffset); + } + return read; + } +} diff --git a/examples/java/cdap/salesforce/src/main/java/org/apache/beam/examples/complete/cdap/salesforce/transforms/FormatOutputTransform.java b/examples/java/cdap/salesforce/src/main/java/org/apache/beam/examples/complete/cdap/salesforce/transforms/FormatOutputTransform.java new file mode 100644 index 000000000000..e71db6a8c911 --- /dev/null +++ b/examples/java/cdap/salesforce/src/main/java/org/apache/beam/examples/complete/cdap/salesforce/transforms/FormatOutputTransform.java @@ -0,0 +1,54 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package org.apache.beam.examples.complete.cdap.salesforce.transforms; + +import static org.apache.beam.sdk.util.Preconditions.checkStateNotNull; + +import io.cdap.cdap.api.plugin.PluginConfig; +import io.cdap.plugin.salesforce.plugin.sink.batch.CSVRecord; +import io.cdap.plugin.salesforce.plugin.sink.batch.SalesforceBatchSink; +import io.cdap.plugin.salesforce.plugin.sink.batch.SalesforceSinkConfig; +import java.util.Map; +import org.apache.beam.sdk.io.cdap.CdapIO; +import org.apache.beam.sdk.io.cdap.ConfigWrapper; +import org.apache.hadoop.io.NullWritable; + +/** Different output transformations over the processed data in the pipeline. */ +public class FormatOutputTransform { + + /** + * Configures Cdap Salesforce Write transform. + * + * @param pluginConfigParams Cdap Salesforce plugin config parameters + * @return configured Write transform to Cdap Salesforce + */ + public static CdapIO.Write writeToCdapSalesforce( + Map pluginConfigParams, String locksDirPath) { + final PluginConfig pluginConfig = + new ConfigWrapper<>(SalesforceSinkConfig.class).withParams(pluginConfigParams).build(); + + checkStateNotNull(pluginConfig, "Plugin config can't be null."); + + return CdapIO.write() + .withCdapPluginClass(SalesforceBatchSink.class) + .withPluginConfig(pluginConfig) + .withKeyClass(NullWritable.class) + .withValueClass(CSVRecord.class) + .withLocksDirPath(locksDirPath); + } +} diff --git a/examples/java/cdap/salesforce/src/main/java/org/apache/beam/examples/complete/cdap/salesforce/transforms/package-info.java b/examples/java/cdap/salesforce/src/main/java/org/apache/beam/examples/complete/cdap/salesforce/transforms/package-info.java new file mode 100644 index 000000000000..ab0f33bff4c1 --- /dev/null +++ b/examples/java/cdap/salesforce/src/main/java/org/apache/beam/examples/complete/cdap/salesforce/transforms/package-info.java @@ -0,0 +1,20 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +/** Cdap Plugins template. */ +package org.apache.beam.examples.complete.cdap.salesforce.transforms; diff --git a/examples/java/cdap/salesforce/src/main/java/org/apache/beam/examples/complete/cdap/salesforce/utils/CsvRecordCoder.java b/examples/java/cdap/salesforce/src/main/java/org/apache/beam/examples/complete/cdap/salesforce/utils/CsvRecordCoder.java new file mode 100644 index 000000000000..c14e9cd7c7aa --- /dev/null +++ b/examples/java/cdap/salesforce/src/main/java/org/apache/beam/examples/complete/cdap/salesforce/utils/CsvRecordCoder.java @@ -0,0 +1,48 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package org.apache.beam.examples.complete.cdap.salesforce.utils; + +import com.google.gson.Gson; +import io.cdap.plugin.salesforce.plugin.sink.batch.CSVRecord; +import java.io.IOException; +import java.io.InputStream; +import java.io.OutputStream; +import org.apache.beam.sdk.coders.CustomCoder; +import org.apache.beam.sdk.coders.StringUtf8Coder; + +/** Custom coder for {@link CSVRecord}. */ +public class CsvRecordCoder extends CustomCoder { + + private static final Gson GSON = new Gson(); + private static final CsvRecordCoder CODER = new CsvRecordCoder(); + private static final StringUtf8Coder STRING_CODER = StringUtf8Coder.of(); + + public static CsvRecordCoder of() { + return CODER; + } + + @Override + public void encode(CSVRecord value, OutputStream outStream) throws IOException { + STRING_CODER.encode(GSON.toJson(value), outStream); + } + + @Override + public CSVRecord decode(InputStream inStream) throws IOException { + return GSON.fromJson(STRING_CODER.decode(inStream), CSVRecord.class); + } +} diff --git a/examples/java/cdap/salesforce/src/main/java/org/apache/beam/examples/complete/cdap/salesforce/utils/GetOffsetUtils.java b/examples/java/cdap/salesforce/src/main/java/org/apache/beam/examples/complete/cdap/salesforce/utils/GetOffsetUtils.java new file mode 100644 index 000000000000..1f6b7a280d3a --- /dev/null +++ b/examples/java/cdap/salesforce/src/main/java/org/apache/beam/examples/complete/cdap/salesforce/utils/GetOffsetUtils.java @@ -0,0 +1,80 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package org.apache.beam.examples.complete.cdap.salesforce.utils; + +import static org.apache.beam.sdk.util.Preconditions.checkArgumentNotNull; + +import com.google.gson.Gson; +import com.google.gson.internal.LinkedTreeMap; +import io.cdap.plugin.salesforce.plugin.source.streaming.SalesforceStreamingSource; +import java.util.HashMap; +import org.apache.beam.sdk.io.cdap.Plugin; +import org.apache.beam.sdk.transforms.SerializableFunction; +import org.apache.beam.vendor.guava.v26_0_jre.com.google.common.reflect.TypeToken; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; + +/** + * Class for getting a {@link SerializableFunction} that defines how to get record offset for + * different CDAP {@link Plugin} classes. + */ +public class GetOffsetUtils { + + private static final Logger LOG = LoggerFactory.getLogger(GetOffsetUtils.class); + private static final Gson GSON = new Gson(); + + private static final String SALESFORCE_EVENT = "event"; + private static final String SALESFORCE_REPLAY_ID = "replayId"; + + /** + * Function for getting offset for given streaming Cdap {@link + * io.cdap.cdap.api.annotation.Plugin}. + */ + public static SerializableFunction getOffsetFnForCdapPlugin(Class pluginClass) { + if (SalesforceStreamingSource.class.equals(pluginClass)) { + return getOffsetFnForSalesforce(); + } + throw new UnsupportedOperationException( + String.format("Given plugin class '%s' is not supported!", pluginClass.getName())); + } + + /** + * Function for getting offset for Salesforce record that has {@link #SALESFORCE_REPLAY_ID} field. + */ + @SuppressWarnings({"rawtypes"}) + private static SerializableFunction getOffsetFnForSalesforce() { + return input -> { + if (input != null) { + try { + HashMap json = + GSON.fromJson(input, new TypeToken>() {}.getType()); + checkArgumentNotNull(json, "Can not get JSON from Salesforce input string"); + LinkedTreeMap fieldMap = (LinkedTreeMap) json.get(SALESFORCE_EVENT); + if (fieldMap != null) { + Object id = fieldMap.get(SALESFORCE_REPLAY_ID); + checkArgumentNotNull(id, "Can not get Replay ID from Salesforce input string"); + return ((Double) id).longValue(); + } + } catch (Exception e) { + LOG.error("Can not get offset from json", e); + } + } + return 0L; + }; + } +} diff --git a/examples/java/cdap/salesforce/src/main/java/org/apache/beam/examples/complete/cdap/salesforce/utils/PluginConfigOptionsConverter.java b/examples/java/cdap/salesforce/src/main/java/org/apache/beam/examples/complete/cdap/salesforce/utils/PluginConfigOptionsConverter.java new file mode 100644 index 000000000000..2063a803c530 --- /dev/null +++ b/examples/java/cdap/salesforce/src/main/java/org/apache/beam/examples/complete/cdap/salesforce/utils/PluginConfigOptionsConverter.java @@ -0,0 +1,100 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package org.apache.beam.examples.complete.cdap.salesforce.utils; + +import io.cdap.plugin.common.Constants; +import io.cdap.plugin.salesforce.SalesforceConstants; +import io.cdap.plugin.salesforce.plugin.sink.batch.ErrorHandling; +import io.cdap.plugin.salesforce.plugin.sink.batch.SalesforceSinkConfig; +import io.cdap.plugin.salesforce.plugin.source.batch.util.SalesforceSourceConstants; +import java.util.Map; +import org.apache.beam.examples.complete.cdap.salesforce.options.CdapSalesforceSinkOptions; +import org.apache.beam.examples.complete.cdap.salesforce.options.CdapSalesforceSourceOptions; +import org.apache.beam.examples.complete.cdap.salesforce.options.CdapSalesforceStreamingSourceOptions; +import org.apache.beam.vendor.guava.v26_0_jre.com.google.common.collect.ImmutableMap; + +/** + * Class for converting CDAP {@link org.apache.beam.sdk.options.PipelineOptions} to map for {@link + * org.apache.beam.sdk.io.cdap.ConfigWrapper}. + */ +public class PluginConfigOptionsConverter { + + private static final String SALESFORCE_STREAMING_PUSH_TOPIC_NAME = "pushTopicName"; + private static final String SALESFORCE_PUSH_TOPIC_NOTIFY_CREATE = "pushTopicNotifyCreate"; + private static final String SALESFORCE_PUSH_TOPIC_NOTIFY_UPDATE = "pushTopicNotifyUpdate"; + private static final String SALESFORCE_PUSH_TOPIC_NOTIFY_DELETE = "pushTopicNotifyDelete"; + private static final String SALESFORCE_PUSH_TOPIC_NOTIFY_FOR_FIELDS = "pushTopicNotifyForFields"; + private static final String SALESFORCE_REFERENCED_NOTIFY_FOR_FIELDS = "Referenced"; + private static final String SALESFORCE_ENABLED_NOTIFY = "Enabled"; + + /** Returns map of parameters for Cdap Salesforce streaming source plugin. */ + public static Map salesforceStreamingSourceOptionsToParamsMap( + CdapSalesforceStreamingSourceOptions options) { + return ImmutableMap.builder() + .put(Constants.Reference.REFERENCE_NAME, options.getReferenceName()) + .put(SALESFORCE_STREAMING_PUSH_TOPIC_NAME, options.getPushTopicName()) + .put(SalesforceConstants.PROPERTY_USERNAME, options.getUsername()) + .put(SalesforceConstants.PROPERTY_PASSWORD, options.getPassword()) + .put(SalesforceConstants.PROPERTY_SECURITY_TOKEN, options.getSecurityToken()) + .put(SalesforceConstants.PROPERTY_CONSUMER_KEY, options.getConsumerKey()) + .put(SalesforceConstants.PROPERTY_CONSUMER_SECRET, options.getConsumerSecret()) + .put(SalesforceConstants.PROPERTY_LOGIN_URL, options.getLoginUrl()) + .put(SalesforceSourceConstants.PROPERTY_SOBJECT_NAME, options.getSObjectName()) + .put(SALESFORCE_PUSH_TOPIC_NOTIFY_CREATE, SALESFORCE_ENABLED_NOTIFY) + .put(SALESFORCE_PUSH_TOPIC_NOTIFY_UPDATE, SALESFORCE_ENABLED_NOTIFY) + .put(SALESFORCE_PUSH_TOPIC_NOTIFY_DELETE, SALESFORCE_ENABLED_NOTIFY) + .put(SALESFORCE_PUSH_TOPIC_NOTIFY_FOR_FIELDS, SALESFORCE_REFERENCED_NOTIFY_FOR_FIELDS) + .build(); + } + + /** Returns map of parameters for Cdap Salesforce batch source plugin. */ + public static Map salesforceBatchSourceOptionsToParamsMap( + CdapSalesforceSourceOptions options) { + return ImmutableMap.builder() + .put(Constants.Reference.REFERENCE_NAME, options.getReferenceName()) + .put(SalesforceConstants.PROPERTY_USERNAME, options.getUsername()) + .put(SalesforceConstants.PROPERTY_PASSWORD, options.getPassword()) + .put(SalesforceConstants.PROPERTY_SECURITY_TOKEN, options.getSecurityToken()) + .put(SalesforceConstants.PROPERTY_CONSUMER_KEY, options.getConsumerKey()) + .put(SalesforceConstants.PROPERTY_CONSUMER_SECRET, options.getConsumerSecret()) + .put(SalesforceConstants.PROPERTY_LOGIN_URL, options.getLoginUrl()) + .put(SalesforceSourceConstants.PROPERTY_SOBJECT_NAME, options.getSObjectName()) + .build(); + } + + /** Returns map of parameters for Cdap Salesforce batch sink plugin. */ + public static Map salesforceBatchSinkOptionsToParamsMap( + CdapSalesforceSinkOptions options) { + return ImmutableMap.builder() + .put(Constants.Reference.REFERENCE_NAME, options.getReferenceName()) + .put(SalesforceConstants.PROPERTY_USERNAME, options.getUsername()) + .put(SalesforceConstants.PROPERTY_PASSWORD, options.getPassword()) + .put(SalesforceConstants.PROPERTY_SECURITY_TOKEN, options.getSecurityToken()) + .put(SalesforceConstants.PROPERTY_CONSUMER_KEY, options.getConsumerKey()) + .put(SalesforceConstants.PROPERTY_CONSUMER_SECRET, options.getConsumerSecret()) + .put(SalesforceConstants.PROPERTY_LOGIN_URL, options.getLoginUrl()) + .put(SalesforceSinkConfig.PROPERTY_SOBJECT, options.getsObject()) + .put(SalesforceSinkConfig.PROPERTY_OPERATION, options.getOperation()) + .put( + SalesforceSinkConfig.PROPERTY_ERROR_HANDLING, + ErrorHandling.valueOf(options.getErrorHandling()).getValue()) + .put(SalesforceSinkConfig.PROPERTY_MAX_BYTES_PER_BATCH, options.getMaxBytesPerBatch()) + .put(SalesforceSinkConfig.PROPERTY_MAX_RECORDS_PER_BATCH, options.getMaxRecordsPerBatch()) + .build(); + } +} diff --git a/examples/java/cdap/salesforce/src/main/java/org/apache/beam/examples/complete/cdap/salesforce/utils/package-info.java b/examples/java/cdap/salesforce/src/main/java/org/apache/beam/examples/complete/cdap/salesforce/utils/package-info.java new file mode 100644 index 000000000000..7dbf1da2ad4b --- /dev/null +++ b/examples/java/cdap/salesforce/src/main/java/org/apache/beam/examples/complete/cdap/salesforce/utils/package-info.java @@ -0,0 +1,20 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +/** Cdap Plugins template. */ +package org.apache.beam.examples.complete.cdap.salesforce.utils; diff --git a/examples/java/cdap/salesforce/src/test/resources/example-txt-to-cdap-salesforce-custom.txt b/examples/java/cdap/salesforce/src/test/resources/example-txt-to-cdap-salesforce-custom.txt new file mode 100644 index 000000000000..30951f86d4db --- /dev/null +++ b/examples/java/cdap/salesforce/src/test/resources/example-txt-to-cdap-salesforce-custom.txt @@ -0,0 +1,20 @@ +{"columnNames":["Name"],"values":["Name 1"]} +{"columnNames":["Name"],"values":["Name 2"]} +{"columnNames":["Name"],"values":["Name 3"]} +{"columnNames":["Name"],"values":["Name 4"]} +{"columnNames":["Name"],"values":["Name 5"]} +{"columnNames":["Name"],"values":["Name 6"]} +{"columnNames":["Name"],"values":["Name 7"]} +{"columnNames":["Name"],"values":["Name 8"]} +{"columnNames":["Name"],"values":["Name 9"]} +{"columnNames":["Name"],"values":["Name 10"]} +{"columnNames":["Name"],"values":["Name 11"]} +{"columnNames":["Name"],"values":["Name 12"]} +{"columnNames":["Name"],"values":["Name 13"]} +{"columnNames":["Name"],"values":["Name 14"]} +{"columnNames":["Name"],"values":["Name 15"]} +{"columnNames":["Name"],"values":["Name 16"]} +{"columnNames":["Name"],"values":["Name 17"]} +{"columnNames":["Name"],"values":["Name 18"]} +{"columnNames":["Name"],"values":["Name 19"]} +{"columnNames":["Name"],"values":["Name 20"]} \ No newline at end of file diff --git a/examples/java/cdap/servicenow/build.gradle b/examples/java/cdap/servicenow/build.gradle new file mode 100644 index 000000000000..e3219e8afaea --- /dev/null +++ b/examples/java/cdap/servicenow/build.gradle @@ -0,0 +1,106 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * License); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +import groovy.json.JsonOutput + +plugins { + id 'java' + id 'org.apache.beam.module' + id 'com.github.johnrengelman.shadow' +} + +applyJavaNature( + exportJavadoc: false, + automaticModuleName: 'org.apache.beam.examples.complete.cdap.servicenow', +) + +description = "Apache Beam :: Examples :: Java :: CDAP :: ServiceNow" +ext.summary = """Apache Beam SDK provides a simple, Java-based +interface for processing virtually any size data. This +artifact includes CDAP ServiceNow Apache Beam Java SDK examples.""" + +/** Define the list of runners which execute a precommit test. + * Some runners are run from separate projects, see the preCommit task below + * for details. + */ +def preCommitRunners = ["directRunner", "flinkRunner"] +for (String runner : preCommitRunners) { + configurations.create(runner + "PreCommit") +} + +dependencies { + implementation enforcedPlatform(library.java.google_cloud_platform_libraries_bom) + implementation project(path: ":sdks:java:core", configuration: "shadow") + implementation project(":examples:java:cdap") + implementation project(":sdks:java:io:cdap") + implementation project(":sdks:java:io:hadoop-common") + implementation library.java.cdap_api + implementation library.java.cdap_api_commons + implementation library.java.cdap_etl_api + permitUnusedDeclared library.java.cdap_etl_api + implementation library.java.cdap_hydrator_common + implementation library.java.cdap_plugin_service_now + implementation library.java.hadoop_common + implementation library.java.slf4j_api + implementation library.java.vendored_guava_26_0_jre + runtimeOnly project(path: ":runners:direct-java", configuration: "shadow") + + // Add dependencies for the PreCommit configurations + // For each runner a project level dependency on the examples project. + for (String runner : preCommitRunners) { + delegate.add(runner + "PreCommit", project(":examples:java:cdap:servicenow")) + delegate.add(runner + "PreCommit", project(path: ":examples:java:cdap:servicenow", configuration: "testRuntimeMigration")) + } + directRunnerPreCommit project(path: ":runners:direct-java", configuration: "shadow") + flinkRunnerPreCommit project(":runners:flink:${project.ext.latestFlinkVersion}") +} + +/* + * Create a ${runner}PreCommit task for each runner which runs a set + * of integration tests for WordCount and WindowedWordCount. + */ +def preCommitRunnerClass = [ + directRunner: "org.apache.beam.runners.direct.DirectRunner", + flinkRunner: "org.apache.beam.runners.flink.TestFlinkRunner" +] + +for (String runner : preCommitRunners) { + tasks.create(name: runner + "PreCommit", type: Test) { + def preCommitBeamTestPipelineOptions = [ + "--runner=" + preCommitRunnerClass[runner], + ] + classpath = configurations."${runner}PreCommit" + forkEvery 1 + maxParallelForks 4 + systemProperty "beamTestPipelineOptions", JsonOutput.toJson(preCommitBeamTestPipelineOptions) + } +} + +/* Define a common precommit task which depends on all the individual precommits. */ +task preCommit() { + for (String runner : preCommitRunners) { + dependsOn runner + "PreCommit" + } +} + +task executeCdapServiceNow (type:JavaExec) { + mainClass = System.getProperty("mainClass") + classpath = sourceSets.main.runtimeClasspath + systemProperties System.getProperties() + args System.getProperty("exec.args", "").split() +} diff --git a/examples/java/cdap/servicenow/src/main/java/org/apache/beam/examples/complete/cdap/servicenow/CdapServiceNowToTxt.java b/examples/java/cdap/servicenow/src/main/java/org/apache/beam/examples/complete/cdap/servicenow/CdapServiceNowToTxt.java new file mode 100644 index 000000000000..8168e70a6e4d --- /dev/null +++ b/examples/java/cdap/servicenow/src/main/java/org/apache/beam/examples/complete/cdap/servicenow/CdapServiceNowToTxt.java @@ -0,0 +1,143 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package org.apache.beam.examples.complete.cdap.servicenow; + +import io.cdap.cdap.api.data.format.StructuredRecord; +import java.util.Map; +import org.apache.beam.examples.complete.cdap.servicenow.options.CdapServiceNowOptions; +import org.apache.beam.examples.complete.cdap.servicenow.transforms.FormatInputTransform; +import org.apache.beam.examples.complete.cdap.servicenow.utils.PluginConfigOptionsConverter; +import org.apache.beam.examples.complete.cdap.utils.StructuredRecordUtils; +import org.apache.beam.sdk.Pipeline; +import org.apache.beam.sdk.PipelineResult; +import org.apache.beam.sdk.coders.KvCoder; +import org.apache.beam.sdk.coders.NullableCoder; +import org.apache.beam.sdk.coders.SerializableCoder; +import org.apache.beam.sdk.coders.StringUtf8Coder; +import org.apache.beam.sdk.io.TextIO; +import org.apache.beam.sdk.io.hadoop.WritableCoder; +import org.apache.beam.sdk.options.PipelineOptionsFactory; +import org.apache.beam.sdk.transforms.MapValues; +import org.apache.beam.sdk.transforms.Values; +import org.apache.beam.sdk.values.TypeDescriptors; +import org.apache.hadoop.io.NullWritable; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; + +/** + * The {@link CdapServiceNowToTxt} pipeline is a batch pipeline which ingests data in JSON format + * from CDAP ServiceNow, and outputs the resulting records to .txt file. ServiceNow parameters and + * output txt file path are specified by the user as template parameters.
+ * + *

Example Usage + * + *

+ * # Gradle preparation
+ *
+ * To run this example your {@code build.gradle} file should contain the following task
+ * to execute the pipeline:
+ * {@code
+ * task executeCdap (type:JavaExec) {
+ *     mainClass = System.getProperty("mainClass")
+ *     classpath = sourceSets.main.runtimeClasspath
+ *     systemProperties System.getProperties()
+ *     args System.getProperty("exec.args", "").split()
+ * }
+ * }
+ *
+ * This task allows to run the pipeline via the following command:
+ * {@code
+ * gradle clean executeCdap -DmainClass=org.apache.beam.examples.complete.cdap.servicenow.CdapServiceNowToTxt \
+ *      -Dexec.args="--= --="
+ * }
+ *
+ * # Running the pipeline
+ * To execute this pipeline, specify the parameters in the following format:
+ * {@code
+ * --clientId=your-client-id \
+ * --clientSecret=your-client-secret \
+ * --user=your-user \
+ * --password=your-password \
+ * --restApiEndpoint=your-endpoint \
+ * --queryMode=Table \
+ * --tableName=your-table \
+ * --valueType=Actual \
+ * --referenceName=your-reference-name \
+ * --outputTxtFilePathPrefix=your-path-to-output-folder-with-filename-prefix
+ * }
+ *
+ * By default this will run the pipeline locally with the DirectRunner. To change the runner, specify:
+ * {@code
+ * --runner=YOUR_SELECTED_RUNNER
+ * }
+ * 
+ */ +public class CdapServiceNowToTxt { + + /* Logger for class.*/ + private static final Logger LOG = LoggerFactory.getLogger(CdapServiceNowToTxt.class); + + /** + * Main entry point for pipeline execution. + * + * @param args Command line arguments to the pipeline. + */ + public static void main(String[] args) { + CdapServiceNowOptions options = + PipelineOptionsFactory.fromArgs(args).withValidation().as(CdapServiceNowOptions.class); + + // Create the pipeline + Pipeline pipeline = Pipeline.create(options); + run(pipeline, options); + } + + /** + * Runs a pipeline which reads records from CDAP ServiceNow and writes it to .txt file. + * + * @param options arguments to the pipeline + */ + public static PipelineResult run(Pipeline pipeline, CdapServiceNowOptions options) { + Map paramsMap = + PluginConfigOptionsConverter.serviceNowOptionsToParamsMap(options); + LOG.info("Starting Cdap-ServiceNow pipeline with parameters: {}", paramsMap); + + /* + * Steps: + * 1) Read messages in from Cdap ServiceNow + * 2) Extract values only + * 3) Write successful records to .txt file + */ + + pipeline + .apply("readFromCdapServiceNow", FormatInputTransform.readFromCdapServiceNow(paramsMap)) + .setCoder( + KvCoder.of( + NullableCoder.of(WritableCoder.of(NullWritable.class)), + SerializableCoder.of(StructuredRecord.class))) + .apply( + MapValues.into(TypeDescriptors.strings()) + .via(StructuredRecordUtils::structuredRecordToString)) + .setCoder( + KvCoder.of( + NullableCoder.of(WritableCoder.of(NullWritable.class)), StringUtf8Coder.of())) + .apply(Values.create()) + .apply("writeToTxt", TextIO.write().to(options.getOutputTxtFilePathPrefix())); + + return pipeline.run(); + } +} diff --git a/examples/java/cdap/servicenow/src/main/java/org/apache/beam/examples/complete/cdap/servicenow/README.md b/examples/java/cdap/servicenow/src/main/java/org/apache/beam/examples/complete/cdap/servicenow/README.md new file mode 100644 index 000000000000..6af97400bf2c --- /dev/null +++ b/examples/java/cdap/servicenow/src/main/java/org/apache/beam/examples/complete/cdap/servicenow/README.md @@ -0,0 +1,55 @@ + + +## Gradle preparation + +To run this example your `build.gradle` file should contain the following task to execute the pipeline: + +``` +task executeCdapServiceNow (type:JavaExec) { + mainClass = System.getProperty("mainClass") + classpath = sourceSets.main.runtimeClasspath + systemProperties System.getProperties() + args System.getProperty("exec.args", "").split() +} +``` + +## Running the CdapServiceNowToTxt pipeline example + +Gradle 'executeCdapServiceNow' task allows to run the pipeline via the following command: + +```bash +gradle clean executeCdapServiceNow -DmainClass=org.apache.beam.examples.complete.cdap.servicenow.CdapServiceNowToTxt \ + -Dexec.args="--= --=" +``` + +To execute this pipeline, specify the parameters in the following format: + +```bash + --clientId=your-client-id \ + --clientSecret=your-client-secret \ + --user=your-user \ + --password=your-password \ + --restApiEndpoint=your-endpoint \ + --queryMode=Table \ + --tableName=your-table \ + --valueType=Actual \ + --referenceName=your-reference-name \ + --outputTxtFilePathPrefix=your-path-to-output-folder-with-filename-prefix +``` + +Please see CDAP [ServiceNow Batch Source](https://github.com/data-integrations/servicenow-plugins/blob/develop/docs/ServiceNow-batchsource.md) for more information. diff --git a/examples/java/cdap/servicenow/src/main/java/org/apache/beam/examples/complete/cdap/servicenow/options/CdapServiceNowOptions.java b/examples/java/cdap/servicenow/src/main/java/org/apache/beam/examples/complete/cdap/servicenow/options/CdapServiceNowOptions.java new file mode 100644 index 000000000000..c275f9947b88 --- /dev/null +++ b/examples/java/cdap/servicenow/src/main/java/org/apache/beam/examples/complete/cdap/servicenow/options/CdapServiceNowOptions.java @@ -0,0 +1,96 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package org.apache.beam.examples.complete.cdap.servicenow.options; + +import org.apache.beam.examples.complete.cdap.options.BaseCdapOptions; +import org.apache.beam.examples.complete.cdap.servicenow.CdapServiceNowToTxt; +import org.apache.beam.sdk.options.Description; +import org.apache.beam.sdk.options.Validation; + +/** + * The {@link CdapServiceNowOptions} interface provides the custom execution options passed by the + * executor at the command-line for {@link CdapServiceNowToTxt} example. + */ +public interface CdapServiceNowOptions extends BaseCdapOptions { + + @Validation.Required + @Description("The Client ID for ServiceNow Instance.") + String getClientId(); + + void setClientId(String clientId); + + @Validation.Required + @Description("The Client Secret for ServiceNow Instance.") + String getClientSecret(); + + void setClientSecret(String clientSecret); + + @Validation.Required + @Description("The user name for ServiceNow Instance.") + String getUser(); + + void setUser(String user); + + @Validation.Required + @Description("The password for ServiceNow Instance.") + String getPassword(); + + void setPassword(String password); + + @Validation.Required + @Description( + "The REST API Endpoint for ServiceNow Instance. For example, https://instance.service-now.com") + String getRestApiEndpoint(); + + void setRestApiEndpoint(String restApiEndpoint); + + @Validation.Required + @Description( + "Mode of query. The mode can be one of two values: " + + "`Reporting` - will allow user to choose application for which data will be fetched for all tables, " + + "`Table` - will allow user to enter table name for which data will be fetched.") + String getQueryMode(); + + void setQueryMode(String queryMode); + + @Validation.Required + @Description( + "The name of the ServiceNow table from which data to be fetched. Note, the Table name value " + + "will be ignored if the Mode is set to `Reporting`.") + String getTableName(); + + void setTableName(String tableName); + + @Validation.Required + @Description( + "The type of values to be returned." + + "`Actual` - will fetch the actual values from the ServiceNow tables" + + "`Display` - will fetch the display values from the ServiceNow tables." + + "Default is Actual.") + String getValueType(); + + void setValueType(String valueType); + + @Validation.Required + @Description( + "Path to output folder with filename prefix." + + "It will write a set of .txt files with names like {prefix}-###.") + String getOutputTxtFilePathPrefix(); + + void setOutputTxtFilePathPrefix(String outputTxtFilePathPrefix); +} diff --git a/examples/java/cdap/servicenow/src/main/java/org/apache/beam/examples/complete/cdap/servicenow/options/package-info.java b/examples/java/cdap/servicenow/src/main/java/org/apache/beam/examples/complete/cdap/servicenow/options/package-info.java new file mode 100644 index 000000000000..4f050ecb2e7c --- /dev/null +++ b/examples/java/cdap/servicenow/src/main/java/org/apache/beam/examples/complete/cdap/servicenow/options/package-info.java @@ -0,0 +1,20 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +/** Cdap Plugins template. */ +package org.apache.beam.examples.complete.cdap.servicenow.options; diff --git a/examples/java/cdap/servicenow/src/main/java/org/apache/beam/examples/complete/cdap/servicenow/package-info.java b/examples/java/cdap/servicenow/src/main/java/org/apache/beam/examples/complete/cdap/servicenow/package-info.java new file mode 100644 index 000000000000..42400c3a4af6 --- /dev/null +++ b/examples/java/cdap/servicenow/src/main/java/org/apache/beam/examples/complete/cdap/servicenow/package-info.java @@ -0,0 +1,20 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +/** Cdap Plugins template. */ +package org.apache.beam.examples.complete.cdap.servicenow; diff --git a/examples/java/cdap/servicenow/src/main/java/org/apache/beam/examples/complete/cdap/servicenow/transforms/FormatInputTransform.java b/examples/java/cdap/servicenow/src/main/java/org/apache/beam/examples/complete/cdap/servicenow/transforms/FormatInputTransform.java new file mode 100644 index 000000000000..ce0330420a14 --- /dev/null +++ b/examples/java/cdap/servicenow/src/main/java/org/apache/beam/examples/complete/cdap/servicenow/transforms/FormatInputTransform.java @@ -0,0 +1,54 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package org.apache.beam.examples.complete.cdap.servicenow.transforms; + +import static org.apache.beam.sdk.util.Preconditions.checkStateNotNull; + +import io.cdap.cdap.api.data.format.StructuredRecord; +import io.cdap.cdap.api.plugin.PluginConfig; +import io.cdap.plugin.servicenow.source.ServiceNowSource; +import io.cdap.plugin.servicenow.source.ServiceNowSourceConfig; +import java.util.Map; +import org.apache.beam.sdk.io.cdap.CdapIO; +import org.apache.beam.sdk.io.cdap.ConfigWrapper; +import org.apache.hadoop.io.NullWritable; + +/** Different input transformations over the processed data in the pipeline. */ +public class FormatInputTransform { + + /** + * Configures Cdap ServiceNow Read transform. + * + * @param pluginConfigParams Cdap ServiceNow plugin config parameters + * @return configured Read transform + */ + public static CdapIO.Read readFromCdapServiceNow( + Map pluginConfigParams) { + + final PluginConfig pluginConfig = + new ConfigWrapper<>(ServiceNowSourceConfig.class).withParams(pluginConfigParams).build(); + + checkStateNotNull(pluginConfig, "Plugin config can't be null."); + + return CdapIO.read() + .withCdapPluginClass(ServiceNowSource.class) + .withPluginConfig(pluginConfig) + .withKeyClass(NullWritable.class) + .withValueClass(StructuredRecord.class); + } +} diff --git a/examples/java/cdap/servicenow/src/main/java/org/apache/beam/examples/complete/cdap/servicenow/transforms/package-info.java b/examples/java/cdap/servicenow/src/main/java/org/apache/beam/examples/complete/cdap/servicenow/transforms/package-info.java new file mode 100644 index 000000000000..f12674161e6e --- /dev/null +++ b/examples/java/cdap/servicenow/src/main/java/org/apache/beam/examples/complete/cdap/servicenow/transforms/package-info.java @@ -0,0 +1,20 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +/** Cdap Plugins template. */ +package org.apache.beam.examples.complete.cdap.servicenow.transforms; diff --git a/examples/java/cdap/servicenow/src/main/java/org/apache/beam/examples/complete/cdap/servicenow/utils/PluginConfigOptionsConverter.java b/examples/java/cdap/servicenow/src/main/java/org/apache/beam/examples/complete/cdap/servicenow/utils/PluginConfigOptionsConverter.java new file mode 100644 index 000000000000..32c7b6b9ce04 --- /dev/null +++ b/examples/java/cdap/servicenow/src/main/java/org/apache/beam/examples/complete/cdap/servicenow/utils/PluginConfigOptionsConverter.java @@ -0,0 +1,46 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package org.apache.beam.examples.complete.cdap.servicenow.utils; + +import io.cdap.plugin.common.Constants; +import io.cdap.plugin.servicenow.source.util.ServiceNowConstants; +import java.util.Map; +import org.apache.beam.examples.complete.cdap.servicenow.options.CdapServiceNowOptions; +import org.apache.beam.vendor.guava.v26_0_jre.com.google.common.collect.ImmutableMap; + +/** + * Class for converting CDAP {@link org.apache.beam.sdk.options.PipelineOptions} to map for {@link + * org.apache.beam.sdk.io.cdap.ConfigWrapper}. + */ +public class PluginConfigOptionsConverter { + + /** Returns map of parameters for Cdap ServiceNow plugin. */ + public static Map serviceNowOptionsToParamsMap(CdapServiceNowOptions options) { + return ImmutableMap.builder() + .put(ServiceNowConstants.PROPERTY_CLIENT_ID, options.getClientId()) + .put(ServiceNowConstants.PROPERTY_CLIENT_SECRET, options.getClientSecret()) + .put(ServiceNowConstants.PROPERTY_USER, options.getUser()) + .put(ServiceNowConstants.PROPERTY_PASSWORD, options.getPassword()) + .put(ServiceNowConstants.PROPERTY_API_ENDPOINT, options.getRestApiEndpoint()) + .put(ServiceNowConstants.PROPERTY_QUERY_MODE, options.getQueryMode()) + .put(ServiceNowConstants.PROPERTY_TABLE_NAME, options.getTableName()) + .put(ServiceNowConstants.PROPERTY_VALUE_TYPE, options.getValueType()) + .put(Constants.Reference.REFERENCE_NAME, options.getReferenceName()) + .build(); + } +} diff --git a/examples/java/cdap/servicenow/src/main/java/org/apache/beam/examples/complete/cdap/servicenow/utils/package-info.java b/examples/java/cdap/servicenow/src/main/java/org/apache/beam/examples/complete/cdap/servicenow/utils/package-info.java new file mode 100644 index 000000000000..dfab339f7c9c --- /dev/null +++ b/examples/java/cdap/servicenow/src/main/java/org/apache/beam/examples/complete/cdap/servicenow/utils/package-info.java @@ -0,0 +1,20 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +/** Cdap Plugins template. */ +package org.apache.beam.examples.complete.cdap.servicenow.utils; diff --git a/examples/java/cdap/src/main/java/org/apache/beam/examples/complete/cdap/options/BaseCdapOptions.java b/examples/java/cdap/src/main/java/org/apache/beam/examples/complete/cdap/options/BaseCdapOptions.java new file mode 100644 index 000000000000..a45cdb4320f0 --- /dev/null +++ b/examples/java/cdap/src/main/java/org/apache/beam/examples/complete/cdap/options/BaseCdapOptions.java @@ -0,0 +1,36 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package org.apache.beam.examples.complete.cdap.options; + +import io.cdap.plugin.common.Constants; +import org.apache.beam.sdk.options.Description; +import org.apache.beam.sdk.options.PipelineOptions; +import org.apache.beam.sdk.options.Validation; + +/** + * The {@link BaseCdapOptions} interface provides the custom execution options passed by the + * executor at the command-line for examples with Cdap plugins. + */ +public interface BaseCdapOptions extends PipelineOptions { + + @Validation.Required + @Description(Constants.Reference.REFERENCE_NAME_DESCRIPTION) + String getReferenceName(); + + void setReferenceName(String referenceName); +} diff --git a/examples/java/cdap/src/main/java/org/apache/beam/examples/complete/cdap/options/package-info.java b/examples/java/cdap/src/main/java/org/apache/beam/examples/complete/cdap/options/package-info.java new file mode 100644 index 000000000000..21c76a890018 --- /dev/null +++ b/examples/java/cdap/src/main/java/org/apache/beam/examples/complete/cdap/options/package-info.java @@ -0,0 +1,20 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +/** Cdap Plugins template. */ +package org.apache.beam.examples.complete.cdap.options; diff --git a/examples/java/cdap/src/main/java/org/apache/beam/examples/complete/cdap/package-info.java b/examples/java/cdap/src/main/java/org/apache/beam/examples/complete/cdap/package-info.java new file mode 100644 index 000000000000..bfb80e02d683 --- /dev/null +++ b/examples/java/cdap/src/main/java/org/apache/beam/examples/complete/cdap/package-info.java @@ -0,0 +1,20 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +/** Cdap Plugins template. */ +package org.apache.beam.examples.complete.cdap; diff --git a/examples/java/cdap/src/main/java/org/apache/beam/examples/complete/cdap/utils/JsonElementCoder.java b/examples/java/cdap/src/main/java/org/apache/beam/examples/complete/cdap/utils/JsonElementCoder.java new file mode 100644 index 000000000000..1f74406d8703 --- /dev/null +++ b/examples/java/cdap/src/main/java/org/apache/beam/examples/complete/cdap/utils/JsonElementCoder.java @@ -0,0 +1,49 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package org.apache.beam.examples.complete.cdap.utils; + +import com.google.gson.JsonElement; +import com.google.gson.JsonParser; +import java.io.IOException; +import java.io.InputStream; +import java.io.OutputStream; +import org.apache.beam.sdk.coders.CustomCoder; +import org.apache.beam.sdk.coders.StringUtf8Coder; +import org.checkerframework.checker.nullness.qual.NonNull; + +/** Custom {@link org.apache.beam.sdk.coders.Coder} for {@link JsonElement}. */ +public class JsonElementCoder extends CustomCoder { + private static final JsonElementCoder CODER = new JsonElementCoder(); + private static final StringUtf8Coder STRING_CODER = StringUtf8Coder.of(); + + public static JsonElementCoder of() { + return CODER; + } + + @Override + public void encode(JsonElement value, @NonNull OutputStream outStream) throws IOException { + if (value != null) { + STRING_CODER.encode(value.toString(), outStream); + } + } + + @Override + public JsonElement decode(@NonNull InputStream inStream) throws IOException { + return JsonParser.parseString(STRING_CODER.decode(inStream)); + } +} diff --git a/runners/google-cloud-dataflow-java/worker/src/main/java/org/apache/beam/runners/dataflow/worker/fn/grpc/BeamFnService.java b/examples/java/cdap/src/main/java/org/apache/beam/examples/complete/cdap/utils/StructuredRecordUtils.java similarity index 58% rename from runners/google-cloud-dataflow-java/worker/src/main/java/org/apache/beam/runners/dataflow/worker/fn/grpc/BeamFnService.java rename to examples/java/cdap/src/main/java/org/apache/beam/examples/complete/cdap/utils/StructuredRecordUtils.java index 99d2e2b63ff4..ff0d7c59f257 100644 --- a/runners/google-cloud-dataflow-java/worker/src/main/java/org/apache/beam/runners/dataflow/worker/fn/grpc/BeamFnService.java +++ b/examples/java/cdap/src/main/java/org/apache/beam/examples/complete/cdap/utils/StructuredRecordUtils.java @@ -15,18 +15,24 @@ * See the License for the specific language governing permissions and * limitations under the License. */ -package org.apache.beam.runners.dataflow.worker.fn.grpc; +package org.apache.beam.examples.complete.cdap.utils; -import org.apache.beam.model.pipeline.v1.Endpoints; +import com.google.gson.Gson; +import io.cdap.cdap.api.data.format.StructuredRecord; /** - * An interface to standardize Beam service implementations so that they expose the {@link - * org.apache.beam.model.pipeline.v1.Endpoints.ApiServiceDescriptor} and a way to shutdown. + * Class for converting {@link io.cdap.cdap.api.data.format.StructuredRecord} to human-readable + * format. */ -public interface BeamFnService extends AutoCloseable { - /** - * Returns an {@link org.apache.beam.model.pipeline.v1.Endpoints.ApiServiceDescriptor} describing - * the endpoint at which clients could connect to. - */ - public Endpoints.ApiServiceDescriptor getApiServiceDescriptor(); +public class StructuredRecordUtils { + + private static final Gson GSON = new Gson(); + + /** Converts {@link StructuredRecord} to String json format. */ + public static String structuredRecordToString(StructuredRecord structuredRecord) { + if (structuredRecord == null) { + return "{}"; + } + return GSON.toJson(structuredRecord); + } } diff --git a/examples/java/cdap/src/main/java/org/apache/beam/examples/complete/cdap/utils/package-info.java b/examples/java/cdap/src/main/java/org/apache/beam/examples/complete/cdap/utils/package-info.java new file mode 100644 index 000000000000..db3e73fe7dff --- /dev/null +++ b/examples/java/cdap/src/main/java/org/apache/beam/examples/complete/cdap/utils/package-info.java @@ -0,0 +1,20 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +/** Cdap Plugins template. */ +package org.apache.beam.examples.complete.cdap.utils; diff --git a/examples/java/cdap/zendesk/build.gradle b/examples/java/cdap/zendesk/build.gradle new file mode 100644 index 000000000000..cb7309d8b6f9 --- /dev/null +++ b/examples/java/cdap/zendesk/build.gradle @@ -0,0 +1,106 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * License); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +import groovy.json.JsonOutput + +plugins { + id 'java' + id 'org.apache.beam.module' + id 'com.github.johnrengelman.shadow' +} + +applyJavaNature( + exportJavadoc: false, + automaticModuleName: 'org.apache.beam.examples.complete.cdap.zendesk', +) + +description = "Apache Beam :: Examples :: Java :: CDAP :: Zendesk" +ext.summary = """Apache Beam SDK provides a simple, Java-based +interface for processing virtually any size data. This +artifact includes CDAP Zendesk Apache Beam Java SDK examples.""" + +/** Define the list of runners which execute a precommit test. + * Some runners are run from separate projects, see the preCommit task below + * for details. + */ +def preCommitRunners = ["directRunner", "flinkRunner"] +for (String runner : preCommitRunners) { + configurations.create(runner + "PreCommit") +} + +dependencies { + implementation enforcedPlatform(library.java.google_cloud_platform_libraries_bom) + implementation project(path: ":sdks:java:core", configuration: "shadow") + implementation project(":examples:java:cdap") + implementation project(":sdks:java:io:cdap") + implementation project(":sdks:java:io:hadoop-common") + implementation library.java.cdap_api + implementation library.java.cdap_api_commons + implementation library.java.cdap_etl_api + permitUnusedDeclared library.java.cdap_etl_api + implementation library.java.cdap_hydrator_common + implementation library.java.cdap_plugin_zendesk + implementation library.java.hadoop_common + implementation library.java.slf4j_api + implementation library.java.vendored_guava_26_0_jre + runtimeOnly project(path: ":runners:direct-java", configuration: "shadow") + + // Add dependencies for the PreCommit configurations + // For each runner a project level dependency on the examples project. + for (String runner : preCommitRunners) { + delegate.add(runner + "PreCommit", project(":examples:java:cdap:zendesk")) + delegate.add(runner + "PreCommit", project(path: ":examples:java:cdap:zendesk", configuration: "testRuntimeMigration")) + } + directRunnerPreCommit project(path: ":runners:direct-java", configuration: "shadow") + flinkRunnerPreCommit project(":runners:flink:${project.ext.latestFlinkVersion}") +} + +/* + * Create a ${runner}PreCommit task for each runner which runs a set + * of integration tests for WordCount and WindowedWordCount. + */ +def preCommitRunnerClass = [ + directRunner: "org.apache.beam.runners.direct.DirectRunner", + flinkRunner: "org.apache.beam.runners.flink.TestFlinkRunner" +] + +for (String runner : preCommitRunners) { + tasks.create(name: runner + "PreCommit", type: Test) { + def preCommitBeamTestPipelineOptions = [ + "--runner=" + preCommitRunnerClass[runner], + ] + classpath = configurations."${runner}PreCommit" + forkEvery 1 + maxParallelForks 4 + systemProperty "beamTestPipelineOptions", JsonOutput.toJson(preCommitBeamTestPipelineOptions) + } +} + +/* Define a common precommit task which depends on all the individual precommits. */ +task preCommit() { + for (String runner : preCommitRunners) { + dependsOn runner + "PreCommit" + } +} + +task executeCdapZendesk (type:JavaExec) { + mainClass = System.getProperty("mainClass") + classpath = sourceSets.main.runtimeClasspath + systemProperties System.getProperties() + args System.getProperty("exec.args", "").split() +} diff --git a/examples/java/cdap/zendesk/src/main/java/org/apache/beam/examples/complete/cdap/zendesk/CdapZendeskToTxt.java b/examples/java/cdap/zendesk/src/main/java/org/apache/beam/examples/complete/cdap/zendesk/CdapZendeskToTxt.java new file mode 100644 index 000000000000..ce8f41e3e916 --- /dev/null +++ b/examples/java/cdap/zendesk/src/main/java/org/apache/beam/examples/complete/cdap/zendesk/CdapZendeskToTxt.java @@ -0,0 +1,140 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package org.apache.beam.examples.complete.cdap.zendesk; + +import static org.apache.beam.examples.complete.cdap.zendesk.transforms.FormatInputTransform.readFromCdapZendesk; + +import io.cdap.cdap.api.data.format.StructuredRecord; +import java.util.Map; +import org.apache.beam.examples.complete.cdap.utils.StructuredRecordUtils; +import org.apache.beam.examples.complete.cdap.zendesk.options.CdapZendeskOptions; +import org.apache.beam.examples.complete.cdap.zendesk.utils.PluginConfigOptionsConverter; +import org.apache.beam.sdk.Pipeline; +import org.apache.beam.sdk.PipelineResult; +import org.apache.beam.sdk.coders.KvCoder; +import org.apache.beam.sdk.coders.NullableCoder; +import org.apache.beam.sdk.coders.SerializableCoder; +import org.apache.beam.sdk.coders.StringUtf8Coder; +import org.apache.beam.sdk.io.TextIO; +import org.apache.beam.sdk.io.hadoop.WritableCoder; +import org.apache.beam.sdk.options.PipelineOptionsFactory; +import org.apache.beam.sdk.transforms.MapValues; +import org.apache.beam.sdk.transforms.Values; +import org.apache.beam.sdk.values.TypeDescriptors; +import org.apache.hadoop.io.NullWritable; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; + +/** + * The {@link CdapZendeskToTxt} pipeline is a batch pipeline which ingests data in JSON format from + * CDAP Zendesk, and outputs the resulting records to .txt file. Zendesk parameters and output txt + * file path are specified by the user as template parameters.
+ * + *

Example Usage + * + *

+ * # Gradle preparation
+ *
+ * To run this example your {@code build.gradle} file should contain the following task
+ * to execute the pipeline:
+ * {@code
+ * task executeCdap (type:JavaExec) {
+ *     mainClass = System.getProperty("mainClass")
+ *     classpath = sourceSets.main.runtimeClasspath
+ *     systemProperties System.getProperties()
+ *     args System.getProperty("exec.args", "").split()
+ * }
+ * }
+ *
+ * This task allows to run the pipeline via the following command:
+ * {@code
+ * gradle clean executeCdap -DmainClass=org.apache.beam.examples.complete.cdap.zendesk.CdapZendeskToTxt \
+ *      -Dexec.args="--= --="
+ * }
+ *
+ * # Running the pipeline
+ * To execute this pipeline, specify the parameters in the following format:
+ * {@code
+ * --zendeskBaseUrl=your-url \
+ * --adminEmail=your-email \
+ * --apiToken=your-token \
+ * --objectsToPull=Groups \
+ * --referenceName=your-reference-name \
+ * --outputTxtFilePathPrefix=your-path-to-output-folder-with-filename-prefix
+ * }
+ *
+ * By default this will run the pipeline locally with the DirectRunner. To change the runner, specify:
+ * {@code
+ * --runner=YOUR_SELECTED_RUNNER
+ * }
+ * 
+ */ +public class CdapZendeskToTxt { + + /* Logger for class.*/ + private static final Logger LOG = LoggerFactory.getLogger(CdapZendeskToTxt.class); + + /** + * Main entry point for pipeline execution. + * + * @param args Command line arguments to the pipeline. + */ + public static void main(String[] args) { + CdapZendeskOptions options = + PipelineOptionsFactory.fromArgs(args).withValidation().as(CdapZendeskOptions.class); + + // Create the pipeline + Pipeline pipeline = Pipeline.create(options); + run(pipeline, options); + } + + /** + * Runs a pipeline which reads message from CDAP and writes it to .txt file. + * + * @param options arguments to the pipeline + */ + public static PipelineResult run(Pipeline pipeline, CdapZendeskOptions options) { + Map pluginConfigParams = + PluginConfigOptionsConverter.zendeskOptionsToParamsMap(options); + LOG.info("Starting Cdap-Zendesk-To-Txt pipeline with parameters: {}", pluginConfigParams); + + /* + * Steps: + * 1) Read messages in from Cdap Zendesk + * 2) Extract values only + * 3) Write successful records to .txt file + */ + + pipeline + .apply("readFromCdapZendesk", readFromCdapZendesk(pluginConfigParams)) + .setCoder( + KvCoder.of( + NullableCoder.of(WritableCoder.of(NullWritable.class)), + SerializableCoder.of(StructuredRecord.class))) + .apply( + MapValues.into(TypeDescriptors.strings()) + .via(StructuredRecordUtils::structuredRecordToString)) + .setCoder( + KvCoder.of( + NullableCoder.of(WritableCoder.of(NullWritable.class)), StringUtf8Coder.of())) + .apply(Values.create()) + .apply("writeToTxt", TextIO.write().to(options.getOutputTxtFilePathPrefix())); + + return pipeline.run(); + } +} diff --git a/examples/java/cdap/zendesk/src/main/java/org/apache/beam/examples/complete/cdap/zendesk/README.md b/examples/java/cdap/zendesk/src/main/java/org/apache/beam/examples/complete/cdap/zendesk/README.md new file mode 100644 index 000000000000..4a5218fdded4 --- /dev/null +++ b/examples/java/cdap/zendesk/src/main/java/org/apache/beam/examples/complete/cdap/zendesk/README.md @@ -0,0 +1,55 @@ + + +## Gradle preparation + +To run this example your `build.gradle` file should contain the following task to execute the pipeline: + +``` +task executeCdapZendesk (type:JavaExec) { + mainClass = System.getProperty("mainClass") + classpath = sourceSets.main.runtimeClasspath + systemProperties System.getProperties() + args System.getProperty("exec.args", "").split() +} +``` + +## Running the CdapZendeskToTxt pipeline example + +Gradle 'executeCdapZendesk' task allows to run the pipeline via the following command: + +```bash +gradle clean executeCdapZendesk -DmainClass=org.apache.beam.examples.complete.cdap.zendesk.CdapZendeskToTxt \ + -Dexec.args="--= --=" +``` + +To execute this pipeline, specify the parameters in the following format: + +```bash + --zendeskBaseUrl=zendesk-url-key-followed-by-/%s/%s (example: https://support.zendesk.com/%s/%s) \ + --adminEmail=your-admin-admin-email \ + --apiToken=your-api-token \ + --subdomains=your-subdomains (example: api/v2) \ + --maxRetryCount=your-max-retry-count \ + --maxRetryWait=your-max-retry-wait \ + --maxRetryJitterWait=your-max-retry-jitter-wait \ + --connectTimeout=your-connection-timeout \ + --readTimeout=your-read-timeout \ + --objectsToPull=your-objects-to-pull (example: Groups) \ + --outputTxtFilePathPrefix=your-path-to-output-folder-with-filename-prefix +``` +Please see CDAP [Zendesk Batch Source](https://github.com/data-integrations/zendesk/blob/develop/docs/Zendesk-batchsource.md) for more information. diff --git a/examples/java/cdap/zendesk/src/main/java/org/apache/beam/examples/complete/cdap/zendesk/options/CdapZendeskOptions.java b/examples/java/cdap/zendesk/src/main/java/org/apache/beam/examples/complete/cdap/zendesk/options/CdapZendeskOptions.java new file mode 100644 index 000000000000..3b2ef3152d78 --- /dev/null +++ b/examples/java/cdap/zendesk/src/main/java/org/apache/beam/examples/complete/cdap/zendesk/options/CdapZendeskOptions.java @@ -0,0 +1,99 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package org.apache.beam.examples.complete.cdap.zendesk.options; + +import org.apache.beam.examples.complete.cdap.options.BaseCdapOptions; +import org.apache.beam.examples.complete.cdap.zendesk.CdapZendeskToTxt; +import org.apache.beam.sdk.options.Default; +import org.apache.beam.sdk.options.Description; +import org.apache.beam.sdk.options.Validation; + +/** + * The {@link CdapZendeskOptions} interface provides the custom execution options passed by the + * executor at the command-line for {@link CdapZendeskToTxt} example. + */ +public interface CdapZendeskOptions extends BaseCdapOptions { + + @Validation.Required + @Description("Zendesk base url.") + String getZendeskBaseUrl(); + + void setZendeskBaseUrl(String zendeskBaseUrl); + + @Validation.Required + @Description("Zendesk admin email.") + String getAdminEmail(); + + void setAdminEmail(String adminEmail); + + @Validation.Required + @Description("Zendesk api token.") + String getApiToken(); + + void setApiToken(String apiToken); + + @Default.String("api/v2") + @Description("Zendesk subdomains.") + String getSubdomains(); + + void setSubdomains(String subdomains); + + @Default.Integer(10000) + @Description("Zendesk maxRetryCount.") + Integer getMaxRetryCount(); + + void setMaxRetryCount(Integer maxRetryCount); + + @Default.Integer(10000) + @Description("Zendesk maxRetryWait.") + Integer getMaxRetryWait(); + + void setMaxRetryWait(Integer maxRetryWait); + + @Default.Integer(10000) + @Description("Zendesk maxRetryJitterWait.") + Integer getMaxRetryJitterWait(); + + void setMaxRetryJitterWait(Integer maxRetryJitterWait); + + @Default.Integer(10) + @Description("Zendesk connectTimeout.") + Integer getConnectTimeout(); + + void setConnectTimeout(Integer connectTimeout); + + @Default.Integer(10) + @Description("Zendesk readTimeout.") + Integer getReadTimeout(); + + void setReadTimeout(Integer readTimeout); + + @Validation.Required + @Description("Zendesk objectsToPull.") + String getObjectsToPull(); + + void setObjectsToPull(String objectsToPull); + + @Validation.Required + @Description( + "Path to output folder with filename prefix." + + "It will write a set of .txt files with names like {prefix}-###.") + String getOutputTxtFilePathPrefix(); + + void setOutputTxtFilePathPrefix(String outputTxtFilePathPrefix); +} diff --git a/examples/java/cdap/zendesk/src/main/java/org/apache/beam/examples/complete/cdap/zendesk/options/package-info.java b/examples/java/cdap/zendesk/src/main/java/org/apache/beam/examples/complete/cdap/zendesk/options/package-info.java new file mode 100644 index 000000000000..70a8b4e1a115 --- /dev/null +++ b/examples/java/cdap/zendesk/src/main/java/org/apache/beam/examples/complete/cdap/zendesk/options/package-info.java @@ -0,0 +1,20 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +/** Cdap Plugins template. */ +package org.apache.beam.examples.complete.cdap.zendesk.options; diff --git a/examples/java/cdap/zendesk/src/main/java/org/apache/beam/examples/complete/cdap/zendesk/package-info.java b/examples/java/cdap/zendesk/src/main/java/org/apache/beam/examples/complete/cdap/zendesk/package-info.java new file mode 100644 index 000000000000..471710b8d21d --- /dev/null +++ b/examples/java/cdap/zendesk/src/main/java/org/apache/beam/examples/complete/cdap/zendesk/package-info.java @@ -0,0 +1,20 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +/** Cdap Plugins template. */ +package org.apache.beam.examples.complete.cdap.zendesk; diff --git a/examples/java/cdap/zendesk/src/main/java/org/apache/beam/examples/complete/cdap/zendesk/transforms/FormatInputTransform.java b/examples/java/cdap/zendesk/src/main/java/org/apache/beam/examples/complete/cdap/zendesk/transforms/FormatInputTransform.java new file mode 100644 index 000000000000..ff2ef03c5343 --- /dev/null +++ b/examples/java/cdap/zendesk/src/main/java/org/apache/beam/examples/complete/cdap/zendesk/transforms/FormatInputTransform.java @@ -0,0 +1,54 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package org.apache.beam.examples.complete.cdap.zendesk.transforms; + +import static org.apache.beam.sdk.util.Preconditions.checkStateNotNull; + +import io.cdap.cdap.api.data.format.StructuredRecord; +import io.cdap.cdap.api.plugin.PluginConfig; +import io.cdap.plugin.zendesk.source.batch.ZendeskBatchSource; +import io.cdap.plugin.zendesk.source.batch.ZendeskBatchSourceConfig; +import java.util.Map; +import org.apache.beam.sdk.io.cdap.CdapIO; +import org.apache.beam.sdk.io.cdap.ConfigWrapper; +import org.apache.hadoop.io.NullWritable; + +/** Different input transformations over the processed data in the pipeline. */ +public class FormatInputTransform { + + /** + * Configures Cdap Zendesk Read transform. + * + * @param pluginConfigParams Cdap Zendesk plugin config parameters + * @return configured Read transform + */ + public static CdapIO.Read readFromCdapZendesk( + Map pluginConfigParams) { + + final PluginConfig pluginConfig = + new ConfigWrapper<>(ZendeskBatchSourceConfig.class).withParams(pluginConfigParams).build(); + + checkStateNotNull(pluginConfig, "Plugin config can't be null."); + + return CdapIO.read() + .withCdapPluginClass(ZendeskBatchSource.class) + .withPluginConfig(pluginConfig) + .withKeyClass(NullWritable.class) + .withValueClass(StructuredRecord.class); + } +} diff --git a/examples/java/cdap/zendesk/src/main/java/org/apache/beam/examples/complete/cdap/zendesk/transforms/package-info.java b/examples/java/cdap/zendesk/src/main/java/org/apache/beam/examples/complete/cdap/zendesk/transforms/package-info.java new file mode 100644 index 000000000000..bc55ee8f2409 --- /dev/null +++ b/examples/java/cdap/zendesk/src/main/java/org/apache/beam/examples/complete/cdap/zendesk/transforms/package-info.java @@ -0,0 +1,20 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +/** Cdap Plugins template. */ +package org.apache.beam.examples.complete.cdap.zendesk.transforms; diff --git a/examples/java/cdap/zendesk/src/main/java/org/apache/beam/examples/complete/cdap/zendesk/utils/PluginConfigOptionsConverter.java b/examples/java/cdap/zendesk/src/main/java/org/apache/beam/examples/complete/cdap/zendesk/utils/PluginConfigOptionsConverter.java new file mode 100644 index 000000000000..a7b18cacf05d --- /dev/null +++ b/examples/java/cdap/zendesk/src/main/java/org/apache/beam/examples/complete/cdap/zendesk/utils/PluginConfigOptionsConverter.java @@ -0,0 +1,51 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package org.apache.beam.examples.complete.cdap.zendesk.utils; + +import io.cdap.plugin.common.Constants; +import io.cdap.plugin.zendesk.source.batch.ZendeskBatchSourceConfig; +import io.cdap.plugin.zendesk.source.common.config.BaseZendeskSourceConfig; +import java.util.Map; +import org.apache.beam.examples.complete.cdap.zendesk.options.CdapZendeskOptions; +import org.apache.beam.vendor.guava.v26_0_jre.com.google.common.collect.ImmutableMap; + +/** + * Class for converting CDAP {@link org.apache.beam.sdk.options.PipelineOptions} to map for {@link + * org.apache.beam.sdk.io.cdap.ConfigWrapper}. + */ +public class PluginConfigOptionsConverter { + + /** Returns map of parameters for Cdap Zendesk plugin. */ + public static Map zendeskOptionsToParamsMap(CdapZendeskOptions zendeskOptions) { + return ImmutableMap.builder() + .put(Constants.Reference.REFERENCE_NAME, zendeskOptions.getReferenceName()) + .put(BaseZendeskSourceConfig.PROPERTY_ADMIN_EMAIL, zendeskOptions.getAdminEmail()) + .put(BaseZendeskSourceConfig.PROPERTY_API_TOKEN, zendeskOptions.getApiToken()) + .put(ZendeskBatchSourceConfig.PROPERTY_URL, zendeskOptions.getZendeskBaseUrl()) + .put(ZendeskBatchSourceConfig.PROPERTY_SUBDOMAINS, zendeskOptions.getSubdomains()) + .put(ZendeskBatchSourceConfig.PROPERTY_MAX_RETRY_COUNT, zendeskOptions.getMaxRetryCount()) + .put(ZendeskBatchSourceConfig.PROPERTY_MAX_RETRY_WAIT, zendeskOptions.getMaxRetryWait()) + .put( + ZendeskBatchSourceConfig.PROPERTY_MAX_RETRY_JITTER_WAIT, + zendeskOptions.getMaxRetryJitterWait()) + .put(ZendeskBatchSourceConfig.PROPERTY_CONNECT_TIMEOUT, zendeskOptions.getConnectTimeout()) + .put(ZendeskBatchSourceConfig.PROPERTY_READ_TIMEOUT, zendeskOptions.getReadTimeout()) + .put(BaseZendeskSourceConfig.PROPERTY_OBJECTS_TO_PULL, zendeskOptions.getObjectsToPull()) + .build(); + } +} diff --git a/examples/java/cdap/zendesk/src/main/java/org/apache/beam/examples/complete/cdap/zendesk/utils/package-info.java b/examples/java/cdap/zendesk/src/main/java/org/apache/beam/examples/complete/cdap/zendesk/utils/package-info.java new file mode 100644 index 000000000000..0124a059d8f5 --- /dev/null +++ b/examples/java/cdap/zendesk/src/main/java/org/apache/beam/examples/complete/cdap/zendesk/utils/package-info.java @@ -0,0 +1,20 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +/** Cdap Plugins template. */ +package org.apache.beam.examples.complete.cdap.zendesk.utils; diff --git a/examples/java/src/main/java/org/apache/beam/examples/KafkaWordCountAvro.java b/examples/java/src/main/java/org/apache/beam/examples/KafkaWordCountAvro.java new file mode 100644 index 000000000000..81b9261a3140 --- /dev/null +++ b/examples/java/src/main/java/org/apache/beam/examples/KafkaWordCountAvro.java @@ -0,0 +1,120 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package org.apache.beam.examples; + +// beam-playground: +// name: KafkaWordCountAvro +// description: Test example with Apache Kafka +// multifile: false +// context_line: 55 +// categories: +// - Filtering +// - Options +// - Quickstart +// complexity: MEDIUM +// tags: +// - filter +// - strings +// - emulator +// emulators: +// - type: kafka +// topic: +// id: dataset +// source_dataset: CountWords +// datasets: +// CountWords: +// location: local +// format: avro + +import java.util.Collections; +import java.util.HashMap; +import java.util.Map; +import org.apache.beam.sdk.Pipeline; +import org.apache.beam.sdk.io.TextIO; +import org.apache.beam.sdk.io.kafka.KafkaIO; +import org.apache.beam.sdk.options.PipelineOptions; +import org.apache.beam.sdk.options.PipelineOptionsFactory; +import org.apache.beam.sdk.transforms.Count; +import org.apache.beam.sdk.transforms.DoFn; +import org.apache.beam.sdk.transforms.MapElements; +import org.apache.beam.sdk.transforms.ParDo; +import org.apache.beam.sdk.transforms.SimpleFunction; +import org.apache.beam.sdk.transforms.Values; +import org.apache.beam.sdk.values.KV; +import org.apache.kafka.common.TopicPartition; +import org.apache.kafka.common.serialization.LongDeserializer; +import org.apache.kafka.common.serialization.StringDeserializer; + +public class KafkaWordCountAvro { + static final String TOKENIZER_PATTERN = "[^\\p{L}]+"; // Java pattern for letters + + public static void main(String[] args) { + final PipelineOptions options = PipelineOptionsFactory.create(); + final Pipeline p = Pipeline.create(options); + + final Map consumerConfig = new HashMap<>(); + consumerConfig.put("auto.offset.reset", "earliest"); + + p.apply( + KafkaIO.read() + .withBootstrapServers( + "kafka_server:9092") // The argument is hardcoded to a predefined value. Do not + // change it manually. It's replaced to the correct Kafka cluster address when code + // starts in backend. + .withTopicPartitions( + Collections.singletonList( + new TopicPartition( + "dataset", + 0))) // The argument is hardcoded to a predefined value. Do not + // change it manually. It's replaced to the correct topic name when code starts in + // backend. + .withKeyDeserializer(LongDeserializer.class) + .withValueDeserializer(StringDeserializer.class) + .withConsumerConfigUpdates(consumerConfig) + .withMaxNumRecords(5) + .withoutMetadata()) + .apply(Values.create()) + .apply( + "ExtractWords", + ParDo.of( + new DoFn() { + @ProcessElement + public void processElement(ProcessContext c) { + for (String word : c.element().split(TOKENIZER_PATTERN, 0)) { + if (!word.isEmpty()) { + c.output(word); + } + } + } + })) + .apply(Count.perElement()) + .apply( + "FormatResults", + MapElements.via( + new SimpleFunction, String>() { + @Override + public String apply(KV input) { + System.out.printf("key: %s, value: %d%n", input.getKey(), input.getValue()); + return input.getKey() + ": " + input.getValue(); + } + })) + .apply(TextIO.write().to("word-counts")); + + p.run().waitUntilFinish(); + } +} diff --git a/examples/java/src/main/java/org/apache/beam/examples/KafkaWordCountJson.java b/examples/java/src/main/java/org/apache/beam/examples/KafkaWordCountJson.java new file mode 100644 index 000000000000..ed5dbc888243 --- /dev/null +++ b/examples/java/src/main/java/org/apache/beam/examples/KafkaWordCountJson.java @@ -0,0 +1,120 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package org.apache.beam.examples; + +// beam-playground: +// name: KafkaWordCountJson +// description: Test example with Apache Kafka +// multifile: false +// context_line: 55 +// categories: +// - Filtering +// - Options +// - Quickstart +// complexity: MEDIUM +// tags: +// - filter +// - strings +// - emulator +// emulators: +// - type: kafka +// topic: +// id: dataset +// source_dataset: CountWords +// datasets: +// CountWords: +// location: local +// format: json + +import java.util.Collections; +import java.util.HashMap; +import java.util.Map; +import org.apache.beam.sdk.Pipeline; +import org.apache.beam.sdk.io.TextIO; +import org.apache.beam.sdk.io.kafka.KafkaIO; +import org.apache.beam.sdk.options.PipelineOptions; +import org.apache.beam.sdk.options.PipelineOptionsFactory; +import org.apache.beam.sdk.transforms.Count; +import org.apache.beam.sdk.transforms.DoFn; +import org.apache.beam.sdk.transforms.MapElements; +import org.apache.beam.sdk.transforms.ParDo; +import org.apache.beam.sdk.transforms.SimpleFunction; +import org.apache.beam.sdk.transforms.Values; +import org.apache.beam.sdk.values.KV; +import org.apache.kafka.common.TopicPartition; +import org.apache.kafka.common.serialization.LongDeserializer; +import org.apache.kafka.common.serialization.StringDeserializer; + +public class KafkaWordCountJson { + static final String TOKENIZER_PATTERN = "[^\\p{L}]+"; // Java pattern for letters + + public static void main(String[] args) { + final PipelineOptions options = PipelineOptionsFactory.create(); + final Pipeline p = Pipeline.create(options); + + final Map consumerConfig = new HashMap<>(); + consumerConfig.put("auto.offset.reset", "earliest"); + + p.apply( + KafkaIO.read() + .withBootstrapServers( + "kafka_server:9092") // The argument is hardcoded to a predefined value. Do not + // change it manually. It's replaced to the correct Kafka cluster address when code + // starts in backend. + .withTopicPartitions( + Collections.singletonList( + new TopicPartition( + "dataset", + 0))) // The argument is hardcoded to a predefined value. Do not + // change it manually. It's replaced to the correct topic name when code starts in + // backend. + .withKeyDeserializer(LongDeserializer.class) + .withValueDeserializer(StringDeserializer.class) + .withConsumerConfigUpdates(consumerConfig) + .withMaxNumRecords(5) + .withoutMetadata()) + .apply(Values.create()) + .apply( + "ExtractWords", + ParDo.of( + new DoFn() { + @ProcessElement + public void processElement(ProcessContext c) { + for (String word : c.element().split(TOKENIZER_PATTERN, 0)) { + if (!word.isEmpty()) { + c.output(word); + } + } + } + })) + .apply(Count.perElement()) + .apply( + "FormatResults", + MapElements.via( + new SimpleFunction, String>() { + @Override + public String apply(KV input) { + System.out.printf("key: %s, value: %d%n", input.getKey(), input.getValue()); + return input.getKey() + ": " + input.getValue(); + } + })) + .apply(TextIO.write().to("word-counts")); + + p.run().waitUntilFinish(); + } +} diff --git a/examples/java/src/main/java/org/apache/beam/examples/complete/datatokenization/DataTokenization.java b/examples/java/src/main/java/org/apache/beam/examples/complete/datatokenization/DataTokenization.java index 1bc0069945fa..e4d2d6342e60 100644 --- a/examples/java/src/main/java/org/apache/beam/examples/complete/datatokenization/DataTokenization.java +++ b/examples/java/src/main/java/org/apache/beam/examples/complete/datatokenization/DataTokenization.java @@ -215,7 +215,7 @@ public static void main(String[] args) { * @param options The execution options. * @return The pipeline result. */ - @SuppressWarnings({"dereference.of.nullable", "argument.type.incompatible"}) + @SuppressWarnings({"dereference.of.nullable", "argument"}) public static PipelineResult run(DataTokenizationOptions options) { SchemasUtils schema = null; try { diff --git a/examples/java/src/main/java/org/apache/beam/examples/complete/datatokenization/transforms/DataProtectors.java b/examples/java/src/main/java/org/apache/beam/examples/complete/datatokenization/transforms/DataProtectors.java index 700b94b93dfa..cc75b4f65630 100644 --- a/examples/java/src/main/java/org/apache/beam/examples/complete/datatokenization/transforms/DataProtectors.java +++ b/examples/java/src/main/java/org/apache/beam/examples/complete/datatokenization/transforms/DataProtectors.java @@ -198,7 +198,7 @@ public void close() { } @ProcessElement - @SuppressWarnings("argument.type.incompatible") + @SuppressWarnings("argument") public void process(@Element KV> element, ProcessContext context) { Iterable rows = element.getValue(); @@ -246,7 +246,7 @@ private String formatJsonsToRpcBatch(Iterable jsons) { return stringBuilder.toString(); } - @SuppressWarnings("argument.type.incompatible") + @SuppressWarnings("argument") private ArrayList getTokenizedRow(Iterable inputRows) throws IOException { ArrayList outputRows = new ArrayList<>(); diff --git a/examples/java/src/main/java/org/apache/beam/examples/complete/datatokenization/transforms/JsonToBeamRow.java b/examples/java/src/main/java/org/apache/beam/examples/complete/datatokenization/transforms/JsonToBeamRow.java index a6c87a368cf9..6ae023e692cd 100644 --- a/examples/java/src/main/java/org/apache/beam/examples/complete/datatokenization/transforms/JsonToBeamRow.java +++ b/examples/java/src/main/java/org/apache/beam/examples/complete/datatokenization/transforms/JsonToBeamRow.java @@ -42,7 +42,7 @@ public JsonToBeamRow(String failedToParseDeadLetterPath, SchemasUtils schema) { } @Override - @SuppressWarnings("argument.type.incompatible") + @SuppressWarnings("argument") public PCollection expand(PCollection jsons) { ParseResult rows = jsons.apply( diff --git a/examples/java/src/main/java/org/apache/beam/examples/complete/datatokenization/utils/CsvConverters.java b/examples/java/src/main/java/org/apache/beam/examples/complete/datatokenization/utils/CsvConverters.java index 090abcb80eb5..b570d1b0c6ba 100644 --- a/examples/java/src/main/java/org/apache/beam/examples/complete/datatokenization/utils/CsvConverters.java +++ b/examples/java/src/main/java/org/apache/beam/examples/complete/datatokenization/utils/CsvConverters.java @@ -59,7 +59,7 @@ import org.slf4j.LoggerFactory; /** Common transforms for Csv files. */ -@SuppressWarnings({"argument.type.incompatible"}) +@SuppressWarnings({"argument"}) public class CsvConverters { /* Logger for class. */ diff --git a/examples/java/src/main/java/org/apache/beam/examples/complete/datatokenization/utils/ErrorConverters.java b/examples/java/src/main/java/org/apache/beam/examples/complete/datatokenization/utils/ErrorConverters.java index 91695fb315a0..e91ab6c97216 100644 --- a/examples/java/src/main/java/org/apache/beam/examples/complete/datatokenization/utils/ErrorConverters.java +++ b/examples/java/src/main/java/org/apache/beam/examples/complete/datatokenization/utils/ErrorConverters.java @@ -64,7 +64,7 @@ public static Builder newBuilder() { public abstract @Nullable Duration windowDuration(); - @SuppressWarnings("argument.type.incompatible") + @SuppressWarnings("argument") @Override public PDone expand(PCollection> pCollection) { @@ -266,7 +266,7 @@ public static WriteErrorsToTextIO.Builder newBuilder() { public abstract @Nullable Duration windowDuration(); @Override - @SuppressWarnings("argument.type.incompatible") + @SuppressWarnings("argument") public PDone expand(PCollection> pCollection) { PCollection formattedErrorRows = diff --git a/examples/java/src/main/java/org/apache/beam/examples/complete/datatokenization/utils/SchemasUtils.java b/examples/java/src/main/java/org/apache/beam/examples/complete/datatokenization/utils/SchemasUtils.java index e8dd24eabeee..4543aa623b83 100644 --- a/examples/java/src/main/java/org/apache/beam/examples/complete/datatokenization/utils/SchemasUtils.java +++ b/examples/java/src/main/java/org/apache/beam/examples/complete/datatokenization/utils/SchemasUtils.java @@ -48,10 +48,10 @@ */ @SuppressWarnings({ "initialization.fields.uninitialized", - "method.invocation.invalid", + "method.invocation", "dereference.of.nullable", - "argument.type.incompatible", - "return.type.incompatible" + "argument", + "return" }) public class SchemasUtils { diff --git a/examples/multi-language/src/main/java/org/apache/beam/examples/multilanguage/JavaCount.java b/examples/multi-language/src/main/java/org/apache/beam/examples/multilanguage/JavaCount.java index f45cc330f15e..97ca1987a266 100644 --- a/examples/multi-language/src/main/java/org/apache/beam/examples/multilanguage/JavaCount.java +++ b/examples/multi-language/src/main/java/org/apache/beam/examples/multilanguage/JavaCount.java @@ -29,3 +29,5 @@ public PCollection> expand(PCollection input) { return input.apply("JavaCount", Count.perElement()); } } + +# Comment \ No newline at end of file diff --git a/examples/notebooks/beam-ml/custom_remote_inference.ipynb b/examples/notebooks/beam-ml/custom_remote_inference.ipynb index 036a9d39d4ea..b3a88cea9df2 100644 --- a/examples/notebooks/beam-ml/custom_remote_inference.ipynb +++ b/examples/notebooks/beam-ml/custom_remote_inference.ipynb @@ -4,6 +4,7 @@ "cell_type": "code", "execution_count": null, "metadata": { + "cellView": "form", "id": "paYiulysGrwR" }, "outputs": [], @@ -36,36 +37,57 @@ "source": [ "# Remote inference in Apache Beam\n", "\n", + "\n", + " \n", + " \n", + "
\n", + " Run in Google Colab\n", + " \n", + " View source on GitHub\n", + "
\n" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": { + "id": "GNbarEZsalS2" + }, + "source": [ + "This example demonstrates how to implement a custom inference call in Apache Beam using the Google Cloud Vision API.\n", + "\n", "The prefered way to run inference in Apache Beam is by using the [RunInference API](https://beam.apache.org/documentation/sdks/python-machine-learning/). \n", - "The RunInference API enables you to run your models as part of your pipeline in a way that is optimized for machine learning inference. \n", + "The RunInference API enables you to run models as part of your pipeline in a way that is optimized for machine learning inference. \n", "To reduce the number of steps that you need to take, RunInference supports features like batching. For more infomation about the RunInference API, review the [RunInference API](https://beam.apache.org/releases/pydoc/current/apache_beam.ml.inference.html#apache_beam.ml.inference.RunInference), \n", "which demonstrates how to implement model inference in PyTorch, scikit-learn, and TensorFlow.\n", "\n", "Currently, the RunInference API doesn't support making remote inference calls using the Natural Language API, Cloud Vision API, and so on. \n", "Therefore, to use these remote APIs with Apache Beam, you need to write custom inference calls.\n", "\n", - "This notebook shows how to implement a custom inference call in Apache Beam. This example uses the Google Cloud Vision API." + "**Note:** all images are licensed CC-BY, creators are listed in the [LICENSE.txt](https://storage.googleapis.com/apache-beam-samples/image_captioning/LICENSE.txt) file." ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": { "id": "GNbarEZsalS1" }, "source": [ - "## Use case: run the Cloud Vision API\n", + "## Run the Cloud Vision API\n", "\n", "You can use the Cloud Vision API to retrieve labels that describe an image.\n", - "For example, the following image shows a lion with possible labels." + "For example, the following image shows a cat with possible labels." ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": { "id": "q-jVQn3maZ81" }, "source": [ - 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1Hqs7fkywL3NSHZbsu1i9dwV55zsN9SXydLA3nyH4OnO5HgBohNfEd+tqcVGdweM0BlWWbU/K8COdBe+vP+gbBK+tTz4/4THCwdZgljMnOnimURVMltalOY1AGsLy+lvpcnsnTtlF59dVcgg/3E+DT8j4njSEINlBVO/P2R7vsCJsCWR+DIhBaNJl29sU1g0nZuV975p7Qs1ftrGcfi/qaQt6AVn4ccB0qtYXB7Qx8LXobFCDWAZRSWXBpY4etDwJVS+Ocgp3q1ZeptjskfmK7xpYv1jn4Cly9LgKv1zFPaV3R+qJ1JkZn4891/Veis/GIZdmqv6K9f/vx34DZx1+hafMT/Hyhb0H47fqn6H/nuW0OX32N/vYn+G2w+dmSJ1g3mIpW6Xj74BO2PcG+s08xQXbJ2H/BZ1e+wPyV7KctDmyr2PsVPntmiG9x9/gTvPZW8L/yCXZc+xKrmF91LpjEc2r+MpR1fNf3aw1f4Prj9D8W3E/2/q+eOYefr32K4WfsMse//PGgCyXjVqA77Ra60ZKPcQuOEkd1jGDDG+OwIbnneHzZjRXjKrHbgrBDqB5HgLUGB1vVPz48DyUtN6z273UYzOpbpspoT9O9e/dw8eJFPnC5WAQlkGriQ5OpFh5fPJmGRccWEltsfFFRm8pxkfI272MLW1jcYkTWFofg04CWeQNO1lt0lvV13bcoAYMv8gmspkt2AorExmUASyAwQIx1ytPOoDbURXB1G4eKWOfzTpUNPDmewNMA1OoifDqc1nLOqbJDadKWyOu9/y3zl8BsHJOpt3s+OV+WBT0GDmpjHwMPnZOJZcGbnSOvsYGRUl7nNECKAOyQ5kDledVzMRZwpbVHeI2RWIvGWptsg3pZjnkbV2OG8aUwF80tlh1mZU8YYOoA+/0y+GVq89D5m9g3XAvNx8Db5uXna1KeSr82NhcptOsax/s02ptU5v1o/nQ9NVawNZg1f8xrfLtmIdX1spT2JpV9e4HDrPqEeascxvPX0ufhqcak7P0SpTmwD+9FA8QwH+sr2FOqOvXR3CX1CfYmllPXUP3jGPTD1H3E8bzexmVf9UtBrPxrrOBLPoIfq5P4fDB7q2NbeH4kPikDY4Fl7BvmYzDLskXoE5j1MT3qy/lGCQjZtkV5ttuzy6CV14p15j/CbFp/h1TJQdaj0honlOUnSiAb9MyX5gilVsfxrJ1QGPfYxi+5GcgKRGkjgLV9vqqXvebJNovsmmgnERINXGljwEkJOKOvGC2N4GmAanWy83bzIZvQ1xVsTcE2tkWfBqqeNzgOSu3ddXB1BdgN+2a1rmh90Tqj9Sb+XFeMzv53YFbtcYuB/P3tx38RZj8n6C0jCFY9xb6xr/H2jS/RXisoJEzGT1C/pa+1Xreu9yu8/c5XOEIoFDxmH0wBrcOs283f8QX29RFYWf/Zuaf4LesntH+BS/e+xvVeh93fbkttdPjwpPv7U+1THBn5EsO0mcl5yd+PwWz0rX7D977B3RH2W0GbZSx/HowCzP6MY2oO/fJ/3Ofws9ovbY6Z43/IcbYa4xIYDYfqsmoxForfOR7tRmUCwM9HZleg733Cbj77/63b3J87DGbjF7/effdd3L59GyMjI/bQt4d/XAD0gNdCYg92z+th7zZenyjaqZ8WCAGX6rQgWVkLk8sWaPkxW/cXbayNso+UNQ791KfBrEWuggwuWR8h1WR1nrcIl0CAkKA02gkyHWhd5kP9aBfLNmYYw+GCCuUELiXZEkS9Xr7DXliWJbPVPCQBa6hLwSxTjmu20e55qS3AkvJ+/j4nSxPxmkVIjICmfrqWhACTtfFahzbJQTKkSZmvdXqd8hzPADJdbGvsFYjR3sCUC3ECqFEaR/PxfKyL7TFCa2NyroI67x/GlR0B2fvTXjZsbzT5PJpYl0CZ+vC6WZn5CKreT3lBI8d4bl71YQyN7fePX2NdW7ue7G+p/EeZj9hXdi6HU10fRbFvBaCNYOuy1zH2SeurvL2eYfw4jwh3dg6aC8v2vtL7Mml3GeyxPpa93f8IMB+q4/vL4JFlA1Oz0/vO7xXZxXHtXNXf7MK1lR+9b/k+jv1dt9CkOYV5uYKt5kQlc2NdfLbE54b5Zj76c7B1e78mob/5owxK+T5h6mI7ZX+Ys91tNT6vd9jKZH0ItI0CXJb13Eo988J8bEw9+yT3Yc+4AJ0OtswHmFXZ/sBnu4MpJRCl3D/ztNW+W4de7x+3HTzbh+XYN82PwSbLMVIaoVURUY+4purtC2ist/mov2wInxFU3b/G9TofM0jzSXzHPoJi+RdMM41bIwLQGtSqPUCtosVaV7S+aJ1J/yLY81sN/jswq/7y97cfAfwIcd8VQS9Y3d3LMuGzOwE/Ht9+hXVLPsfPA2x+dcZBs+lWehTzL7i72/se8ZBWEpltf5Bu9zXaV9Ju/Rf4MNTo+PC423pfH+95G1x7ij9x3B+GWff9s7rngJSAPl+wvCPCssPsz5uetbP5p12LzPE/4LjRivznIrPo/x7ATQ6+N5aPQ1ZdCnWfXGvFvGTP7Bjb81F7MTT+HY8EZrWP6Z133sHNmzcxPDxsD3Pfu+qLhD3UwwISH+b+YPcFxT5ak2zhZD3z3k929JH0DX4spX/LcyxJC1Mo22IR+lg/s3VFqPO2UC+IJBQ4SAoG2SZIsDr2j0DA1CCVkGA2KisfoUF+o2J/jc+yxrD5yr/58HG2EFBs7DAvi6iybIBqvgOgBoA137SxSK58sH+EWNs/K2kc8xdAmlDgkdqUX59vODdJdYRJRZktakUYE9AaHElsc/twra2edeaLdon4eqlNacxzPsobsIZ6gatHZ7lwU2qzPs9FYxt6Ja9LINRS1cmX1znwyb+DaRzb68M4gqjoQ2XZhj6yty0PPDcH4dCXc5eN+Ys+g32Mguo6aE52fdhu18TKXufAqevk5/jstVKb+ntfl/z6tgKbu2RjpWA2ysdm3rYb+LhKNU+9TvHaRxhUOc7B3zN+LmYXzt3fc/RJ2T2rOtqk3me6Pqpze/k1WLS8lz3le5mpgVyot3J4jxoMhjrrwzoHT47NNgGiQ6ieB9Gvyql+dj6SnaNsvM7nz3o9K2QvGaz6uN6P52dzCWWl9tzifW3ysm0z4HvIIFbtVMNJvhYaQz7NL+caANfHDHNj3q4bn2n2zLNnm+ZAGcS67LknGYiyLYqgqNRhl89HwqFFYE8QDAmBDouqD89QAaXq5NPaooKNpezP1PwoNcAUaEpsD3UCTQGqyYBWbfQrG9kTUNPh1fwkZfXxskV/BcI2HiWYZd5AVgCrNCpAr4t5A9ortq5ofdE6k/4zXelbDdJh9oeA9nmYlb+//QjgV/UU1x9/g8+e0Z9TNoq4Egaf/TLYX/DVp7T73ENNw820WfEUd62Udjz4AhPSYNNh9jk4fPQFsmlTcfKbUBGO2PcC8z9kE+p/EGZD+/y+eD7x+Av6m2iXRKXDNoO0KLKO751v5vgXP+6itSRtz+yDbqzIIZgWtuK7mwSeYKSuBBNm7sajH4i6PiEIl2wawaPeauTrC2MTKtE4+iS0/m2HwWzcL/vo0SNcv37dHjr24OID3iOl/lCP0GnAmrag+aLiAGULZaxn37gYxUXMbV0GYGHh8lQLrxTbHb4izDZwMdKCZFKb6qONpQ6VCTAKPgkPBqGyMVAI9iGNUOqiP+sf/Fmd+3Qf/pFwqt4hWBDq47kMpgWVatcYtDWxf5yb2dhYUQFoVZfYp7erXmn0yeut8xHQWEoJVkOdfwGKSgOjCEoOaaGPldVGO8GZ2XMBTktd7sPAMeYFqFG0ifU2Fusk69sbFcpB8u99vCx/UpN8J/VMBVxBjTynxlMC2iBFf3u9f1SyH9f8CSQ1jtro6xlbjSH/IaUcRMP1oOL1M9EuStcu5g2IdX/w9ZFdyufzMCuQlUIf1iXjmr2XU+PzPHjONpbZ6NyY6r2i1PJedjB3eXuQva/oQwr2ESLNVtch2Ma+6dc7Kt2f1TG1PvJn46Zs/fx47fkMsI/xbczQN4xvc6Btul+7BomN3u/BLqRWJ5/MR2BuIpA2CUDtueEy6NVzy8pM7RnG14y2BrAnggxmpQCxcYzYR6nl5ZO+OHYCsWEM34qgVGVdZwdW+zIZAda3MXjeQdbl/wEEoZBA6xFaAbDaBIuCT7ZLsrO8+7SIruxifYDN2C+RlYMva5fPK4i/rJCyZ2r+08Q6zTm9bGDLvNty/oJgA2GCKv3GCG2y/SD4Vt63JjjMan3ROpO+b1ZbBdJh9j+Lzv6kMPuj2wyej3R+3/Etuht+wE+AyQiJ3wuH13wbwPdHiAOofgdaw/Gfweydp3jt+/rxMABP5pKB2cyRdrzfjerCCf5LBdNq0d25OG3PbOp4tGsmxukLXj/Epk+GUF3J9sdMJ6xANx18fbcLlSWt3/3D7684DGb1TzrMDg0NGcSmxAdtWIx84YkPeuXZZu18wAlyTW4bF6IU1Hq9R1QlX2Rlo0XEvxXPRcMWVYr5CKwJMBjMphaudIg0eGVqIhgk3xaP7cxHxXq3U53gkXMyhYWf9RFIop36OFAKLgWVnnfY9XE82iow9QiqAWpvANTQ5mAqBQA3G/aRmPcorfuvJZQlvjR2qJcMXiXNOeQFKPbTVYIxXV+2GZCoHJQAGn0nUn2wi0qgj+0CwVhXr3wvX/fT7EdFqBXIRChttHraS9Em8an658qU9VeqNvlOt+lNt/OygE9Q6/NlqjlJSV72bmNiWXU+jkOmzs/LGuu718GvqbdF2HTw9L4Gc3afsE33jcpUI1/zBGTZ/kxZ7ZZ/fmx/LTW+34d8HU3xdVObxuB52X3n+Wfej5KAXvVByT2dbqP3X2h3ENU8Ql6pruF3fPEasp8prU521i/Uy1eT/HFeSZRdbQLBODbl8wk+gp1dG/UTWPIcXeofxbJEwBSEys6eBSb60vMo/Zll18Zlz5kg9U+U+E6z0R8fStkuYNY2jAjG9kyzlP4JmM9IYzN10BXQpmTtAQh9q4HKkmzVh3URIp9T3JJgICsIPn6Zckj9rmTr+STSq/Ix9bkc6rw+gVnzG/KSIFZ9rB9tpWjPtmdBmPNWOcKsAa3KwQ/7al1Jh1mtO/90MPu9kdlnj79HZHZ+7/PRYRcvE/Ce22Qis5nj//3DtxHMPPgsyj7ur0YWQbbvecJNDv3qQQmq+0m62lNbuRu+xTz9C2J/25HArL4R+vDhQ1y7dg2Dg4MOkZSnWiB8YfDFKjz0tTDZ4uRykOWDOdirzhaR+NAPPq2s/lJcvOKCEWBVC0oyfrKgERiUWrvyAkjCIOsMJlVHQEgt8kpZjnVMPVLr9TaXWG++BKMRCDW3sKDFPrRzcBTApsEk2+LcEsAO4OpA6rBq0Vxrowg2Dt9K3ZdDq8OsfvXAgdcjsA6z1x1mzT74Yb1BqUGFX0+H73AO8fWyes2Xr5OBiupCW7Q1hTalbLeP/FluPM1zFFwGKDSo6mWbIJVSu+wUVTWpzPOxKGu0Y2p+lQpSKWtLT0N/lRtOS97PATco5K3dANXnlEhlq7tqadLH+sm39q5qnJimZFCp66J5Mh+v7TPXhtdMIJpc11iOdbTx8bw+XalffqCsnytea/ev15KiD4Npgp5+AcIVANRe15BXSkC0qGBoi4BpYr8UcAb/1ub9dF52joliXewTfbDNyiFl/2RLh5W9zurj+dl7nHUal+0pe11XSu0qRxv1szqlvFZB/p5XXn49dfB02R/d9BOvgyleA6X0b+diCuMzteeUPat8LimQ5v2g8ehXzyWL/obnloHsCaaCU/NB/4RAgarttdWzzuT1FpkNoJoAr4k2glhFcGkjeRTXwfUZWwKl1SVtkkDzsqWJVCawmr21B4BNl0EwgZbtts0hRFENliPQSiqrPUldZiexn7cpz3O3LQwOtNGv7811W60rWl+0zmi90brz/JfA/rFh9of3zNas+Gv3zD4Hh3H/befzuPwtPvwotd3he/e+/p33zGZgNnOkjq/x5N0b6CaQTshvfObLW0/OEmTfmIndD0LF9x0PdmPmqm6iMI9vU5FZ/VrC3z0yG/+zhKtXrzrMRvjk4uKLGsthwfFFmMAUFoEItLY42gNci5we/O4jWTi0oNgCFhYmQSDbtFhp4bDFw9oIhkmaljdg9Dr/uJYwGGSQG2V1EehY7r2d1MWorNu5rX4iKUbWYkTW4S7WU7R3EHXwFFC6nfvQXCJcxzklAGt2rOM84hy8jmWDWYfeZ2HW0wjNtbx2MTLr/X1OMZodISu+Pla2OoGFtyvKGaN7Bmbh9VRqr23sE/p5X7eN8Gr3gsCGNk2Ewq30uVXp6VuWNgVY9I/30/wJhNk/RkYjzMq3AaYBsfoKKq/TD+sNZn0Oqmtm21baWJt8nOY8eh1YDVxtXszHds5VaZP6yLf5kf808RzlO7YlcKn+HC8Bf9nIltfa++r8lPfzjNfYAD3Y6rVxYJZ0jzC16Kz8hXFiGq63vS6UXo/4h0d8zXRuXuY5Bnu/x0O7laN4LSLImT0V3qN6zdMhWOMJ/KJP+xKYtYf+kvmK/SmWDUz5fne/nsa+5oeyL+PRv59XsGFe52zwyPdyE1NFcXVd7Xmg+zo8C+y5oHvayrx21ifI7l1dQx8/zjNGsuPcDcZDWwKzugZM/RklG6U+fnwW2bNN4whelee87Pmg5x2fcXruCVj9EykCm0Eg82zzrVYck2X9DFmD4DOUBX96Rqq/orVbCcZbCbFbVUe7RkqpXduYj2LfBI6VT+qvhDamBMd6iXmLvhrEjhnoRpBNgagDqiBUfg1UdT70719mS5PZOcxaNFkRV9mbLfsIZIPfBGYlwq1sta5ofYn/ecL3wawA9f+vMPu9e2apTwNIpv2awZEbX+Ozez/yawbLnqB90H/NoH/vE9s+kA6IPwSHz/6awTfJLyb8jGPsC79CFn/NIPm1gf/mrxlE33fHvsCqKs2V83ju1wwyMJs5/FD0dBzGTSrBvIY+vP/MbaFfK2Cb2p/X2qFg893j8U+1Z1b/vP/++9+B2WQrQPj/820xs4e+yxYS2lg51JudHvbBJi4Y5oc2FklUv7BA2MIlEDBfWkCUlwhrAljta2PeoC0AnOSR0gCOyrOfUvNFkLIvO3EsHzPCo9t6XhAQbKxM2flq0aJiXZrMj/wG3wIR1TvwptlInI8gNdWX0Jr0ZR2hJs4/icyeJrxKzNueW8nm5+11BlcaU3P0a5RcP/m0ecf5u5398WDjaWxdC74elEBU/RIooK2VLXVFADGIpRxAlXIRZn9FX5t5Hs08h61MHW5ZTz/KRwlQPXqr1P04vNIPZaBpbe7foVbA43kB8lb63Mo5SWZv89DcuKgTahuZOuTGdsr6p4ntiY182Vw9r/ONecGtrpGdK/vZdSAMJTbqT9m1VpsgTer166RxDc4k2iQwx3vR7TU/XWvZ+theT/V6au8npSxbqrLATHm9JgZpej0JEVIP36OS2szebZI+Zq+8j+X3BlOBXOxDRQh1G/evvlZntt5m56JyqJMvg0SW4zmpT6PamSbnE8rug9ef7xPBbIRgl8qs1/VTvfzyeeFAq7q0+ujXzo+QRfl8VOZcNB+lGk9jByXnG84vnpPP2SFc7yN7zslez0OWDWZVR3izPcHM65zsvASfllcdpecgAdVgNj5D7b9sTgGg+SEYNhEAPXqrNMrLglupif1ivpFjGfSyX6NEWLRUdQacitgSWqUAsKoz2LV+IQ3RW4/kCrI5N0G3pDZFe1XPsVWO/WycYG9AL4A1kA1RWZb9p8gcZPUbu+kwq/UmwqyA9L/ziwY/KcwS4r5X6RHbv+vvzH4fHH7Pb8Fu5hjvpUd6v+d3Zgm0P7rNwI7/xu/MZmA2c/wTHd+BWf2w9ZkzZxKY9YeyP9z8YUxpAaE8whEVF0d/iLut0lCnvPXjYkq/iQygggzQvM7gzGwcYCMUmli2KKlFNQWoDqmxn/UNcliNECh4VH2qzhQXKaUa08ZjmcAhgLR8FMspfy4H2FS9iX4MJOWT7QaozFuqdvPNcYKUF7x6vbc70CovHz5WPD+/VkE6J/p2UHGQMDv2j2ArgEwWcOYd6AQM8fqrX7o9F2FKMFcvoDMYZL2As4/2EmFWkcatglkDWsFsSBWppWy7geBS/ULqgMq+lqbVBeBM2biaadvMuSUwa31kJ3HBF8wyb/5MmgdTnVO6reWDjc01zadJZa+zeQR7S3ndErGcXE+CkGSRTV1bs6EvXscY8fV6tTtUJbBnSreJ/d02vl4JvFpdmjQu0wRmBUo2n/A6s97lPgxmQ5u9f63s7RHEzT7YJXMw22gf6pkXOLrS2vm+FxB6P7eLY9o40VbnzveIgyuvZ6yn7JrweWGwSn8ulq2d/q2NQGW+Q5vZEJokjRvKbhdsk3Nzm0SyTcruy/15Ob1N7w+bN59xDtS05bPR5+R9ItxGCWQNYPUMjXnBLMsJzCqVnwCKTSbWsy5CrFJTsDERHA1iqSbCprUZcBIiTzrQSio3SrI3G5cDqYA1iO0C1Ai8EXCt7aTbRKD1PjoXh17fxxtsrD9tDGgp1mtdif9xwj8ezP6zHbwWz39j/OJT/JwQuu4HfwA0c2SOf93DYFa/+aeHy/379xOYNQDlg9tBNO3hzIe6LZZKuVDEBcvqzCakevgL6KzsMpi1Oi5eYQEzCLNxQqoyFzobW1AZQDWCqEOdADCkEm0i1BnA0SaBPLMNqdqtfwBEKZS9LYAzZUDKfpZqnlxgPaqpsiv2s0irSWXtcdW5xnb183EEsbZdoJd1BC4DZRP7aqyQGgik1buCrc2T5TBPH5/1Np76hb6s8+vABTjm1U4JxDximJKDIwEzlGP0VKmBbB/bBa8Cwf5bLgNar28WvLIsuZ3qbrN8y8FX9ZL6qV3jRX/mO5Vu7Xc/zWzfSrXQR6tS9mlO7ASvnBfPV6m2H6jNtiKwb4v62hiypw3lc6Ut+8TtEc08V8GylwW2zPMaycaBltI1IwglZfpxOOY9HqPDZkcb3vepa8sy+1r/YKu8twuMQpts2N+3S6SkNntvKWX5h+TR2ABofO9Zan5ZH/PmmzZM1SdCmkdCo73Xpc8hvrfdXra8H5gm41u7/AVxfIdQzd3vN++vflRSpi/a2BYCq3e/Lp9X9Knnif/hHK5bmJtda9rJx1bLq46QptTm4Tb+OoQ+ST+mEXSjHeVjx3aK45liWXNO5HUOnCwLRgmbgtfkp8iU0iZ5frJsUc4gB1f14xjWn2JdUi+gtTwhlPYOswFIBY0x2nqMIMs01nlkdozjC2QdZg12abOVfbeaXx/LwVcAqr4SfWsrg/KhPTkv2cg+prRJvoxmtsFGoCwpKmvQnIJZrTNab7TuZGD2rzm+xaUdn+Pn1U+xQ9sYHn+N64O+zeBna398z2/myBz/qsePwmwEoLio2CImaUGyhzMfyAFoFYmNkdskgksfisz6AqZ69ZO/AF8hn1roQr2ksXv943sDTAGc2gO8ubxeNh5VdCD1/auhHHy4XczTD8HFIDBRytbPO31Mt1eaRJfNJvaVOC+2+W+86hqpjmmvQ7B9xB/GNIgl/NmvALBsAC6F8cyebQ67rCOY2XzT+5tdaFfKOXnZ2+IcFcGN+zYdsJiyTnnBnNcFqcz+BposCzYVXfUIpdoEoayLgErobKAaCaiNrFNesKo29RPMNik6K4hlf0vVL8jLnEdIo10z0xaJ4wpoLc/r0WK2tOuXZKt5ESJ4bZtZb/bKa2zmBaQRkpPIrdW75NtB1n0JnK2d118+bUuC9VOei7/KlMGU4FBSZJigrLzgVnBktoJd2SkKKIBSmUqAimNYhFepXX+3T2CNPgw60+uoBCKtne89SjAb2w26zBelvN2vtKViRNLbCOwhTcaVjdJkbPchsDMA5z3lMKt71udusn7uwyCPPi1qyT52f9v7XIrvLUrj8hlhEc1wr/pzIMwv+uVc7NzCGD6mUgIX0yaJPrZSzRrX5nqNcBvywV/0kerjbVuVj300fxubdqGv6v0a6Zzcr8aSItA+K9oakDIvQGXZwJ5tDrMBZPncFOgKEuN/7Rv7+hYG9fd2h9kAslZ2aG0igFq0VTKYdQhuFLweE+QSZgPsRh+NLFtflQ1cBaS0oV+BqEO0pHMI/oJfi7SG6KxFfA2UmRcIGwy7TbJdQvkEiC9nYPbveWgbw47UNgNtFyhq/xJv/9jPLGSOzPEvfPw4zNoio4VAi2Z8IAtQ0+CVD3xT+kObD/z07QW2F1V19JcCQUKYyiEia1HcpD0FlA56wZ51EUAjyLkt4SjIv2DDvAFbUAKpGlN+XBEgE6lMoDEYDGNEgEwfO1l4lbLd7Hl+dt68TjrPCCjx41sHW9oxb37DHOI8Gglggm0bRzaEqwjciXR9mLqfkOd8kzmYwrnY+d/iYsxrwlTbACzPa9HUo7yXDWhNDnoJyLLOYJapbR04ddt8GCgKUg1oaReitA6nzDMV7BrM9t6mmLIsbY22gkb5NtBUKrHNJJhlP47RynKL+rPOIq20N7g8w/6CWY0vCLUxPZJrcMp+Bqbmn31kZ/PzOh8vpech18qxb8zzNbHrwtfR8umAK0gN+3YNllSnfC8hgOUIehH+UhHeIPpVe7oSOJY/ljVWLDvM8X0WYNbKbIv1yRhMHWJDPdPoT1spBP52vsHW7eMc/f5225Qc9iRvj9Ar2Tx5j26lDMzMF89NacjrHrX3TeJHfdSXffS+0bMknkf4Q8DOLZ6HziGmbFNegCmQbaYvzdHyVCpaG8Rnk1KDWYl5h1nCm+XVP9VuUddg53U+V/erVOfKOtmlycZQ3qKtPG9CqZ6LyZfCTDw3RYa700AwAUr1pQwolTpcRrg1eBXIUoJbRVp9iwHrCI8GswaxDrIOqJ4KZi2CS0Uolr210VccyyK3oWzbFiTmfa4pqb9HokO77NnXgJZ9bNsCpcjt98HsX/O/gGVgNnNkjszx/PGDMBs/1rOUD2KDMYkPalsgmdeCksr7Qqiy7+Fjm/pFP5S1B2h1MJS9FjCBlyAsBZ0RFh3QaKeUC2z8yP3ZhfF5gAtAqzbzE/yzb2KvvJW9LrU4SxE0fZ6psWL/aBfO2ep4nkrtHP2c/aPjdDuKddGXRUs5BxfPnakBrPoQsp6JxIa8jatyet7k83WY9evoIEvxuhjACmRNfj0MWFmOMGtAK7gLqUBWMCm1mm4zTxE0BZyC1qZ+gq0UgNVEYNXWgBZCpfoYALPsEVj6ZXsiASvbWumvxXQLbUxbrS74oV0rJb8GrgRZ9W3muGpTJNfLntdczE7nYHmN42UDWkV2DXB1np4KlNVuvgxgCSmqD23awmDR3CBFfZsJWVupJoKsRWIl1sctCqo3eBSEqmz1aXVMk3reH/GPCdVZvdp/ULQJ+QRi6VOpg7TuPdlEO/mkf94j6YBqedoZpMrexg92qqcvg7gozjNGKv2ej311TrIXVPL68P5PbJM+qfdZ7Ptsuys5h3heEoHTgDTNxucjmKX4novn5FFa1Xmb28R6zU92Xt/EPwZMiR1TgWgopyuB4lhHf8/YsJ9Hm73NtiQY0HL+AljWmwz+HADrI8wmdQ6DAtetitZaGsucp/n3vpJBLYGySZCq1CQIDaBpqXxGOcym25ntceUdjB2ONWZ6Pyp9jpqL+U6N42J7sLcIroDa0u/fZpCB2cyROTLH3+P4UZi1BSY8lP2jQIeyJErCBcHLqo+RWv/YMwJchOIYdY2ySC0XTQM7lh0+UxKMCbISGKSdw5uAz2HT/Kp/qNMiaf0JboJa98U0gWXaElhkH8sCQV9cg68k72Ok1xnM2lzVrjkpyqrroMWVCnN9vmzi4mwgSyhSqjZBg9lYnZ+DrskWtsfIbCKWZZvMQ+cby9YeroGd2y0u0FGEt6gIrrS1sQV3QSon8BdSA1PBZgKcNw0qHSCDCJTNZ+6wzkFU7YJQAWkbodfBlGL7M4B6Jtj33UFbv+Q27axvZ9omP2ckbTOgPxtXEO3jK9/Kfu6PEGp1mhPPJ2x3iOdg8B2A2mGWUhqANrVHlzZ27l4fIdcgM+QjyD4rLvyCL+YNgg1qWY7RWtUJnoKdyQA4tCdSvyDam55pV9/gi/eUjRltNGbsE+TR3VCvvjYPl33xjeciMHRflHzIxsbQeXtZfSM8ChYNKNlmsBxAzsYI5xPn5+DpdUrj2P7ekA/VM6/+fB6kA635sPrgL/jwttCulO0GsuwrgFVdzBvkcpwIms2U6prZ1+BW7crLl2yek0Hpc+VkT67morxFVwl26TZm57IvpEUIZD5uzUpANPoQICqlLNpKeG0mzApgDWKDDCIJwB6ZVVmpIqspmI2AmSj0M9jU1oAQnXWYjYp7aSWei/VLyaA4zlNzUJ8Ein0MA2zmv1c/EpnVf5yQgdnMkTkyx99y/CDM+iLFhUUPdC4WTd1c3AykwmKkBzUVYdbzLrU71HGxtDbCVpqSMtsdFh3APKXYZmkEtnQRNhxcpVR93FdqY0Z/0Y/J23xM9o2AG8aI84h+BY/6uN8iqppz6O8fl7oiqFq5l1IfLnL6mDQBekpbD6w92CRfrDLRhmWbO88hmaPOR3aqI2Q5eN7ioq7rwpR5A1MBqyBVdgQybVdwu9guKCHY8byinUkwZz7dr0UlQxrzgj8BZgoiWU+4bGYqaG0bCIAqqIxAqrIkkO1VWZI9xbSNqWDVxX4cx33QfkCp+26n73aWpTYBblBHSOM4bfLN6ySgNdBmKog1mKU0b21Z8Ggy61VmvcOug2uMymorg9mrTufKvOq0X9e2MLDe89eZEpiU5+unSJ+UglRCCF/PrUqDfOuCUkEc7wPZW57Qo3qmAkaLjDJ1oFS9KwHFWE+Z3zQ7658utVl7yNPe5+Mg66Aum5i6jYEm7xsDR7WxzscO46vd7MI4fEYke1h7CTkW7WRebXweeL3KbmN/BCtNzkdtSv3c7dmjOqV8vyXlxC6IbWZjMEv4Y9lAlm0WfeW8BN/2JT9rF8QS1tQmW7Wbjfym5uzbDp47B4Ec6zxCnEq1TSB5Rgr0ApDa81Bp6GeQanbBF/sJSg1MTZyXbOhDqc2LwNhMSHWYdWBU2kQgtbL6Wf0Y5XVxH61BprURJCX6MqhM2un7+DW0xIhvUARg788+JvejXy6w85Ct0sQu9KEvh1ePxjrEyifP+b8As+n/C1gGZjNH5sgc/53jB2FWC4VFbrRg6EFNoFOdQSwf8HHh1KIcFyDf4+YLtaDMFsQ0EIxQmEBtgFKD1mBjwBWAMrabOBcHQvY1EfZCH/Mp28SP94m+3J/bG/QlNuynvOrk3+op86/IsWCU+WSufm4GsLRRewKpvAYGr8z7VgJeD0spLfxh8Y/zj+NYmVChOSQRU0l5wpTbaH7eblsD7NwIYlKIwNo11HnIhoBotvIR+rkExQ7GSlVO4JeKIJt89E/A1Ef/Fn0VKIbU9rRSsayIqEC2nWm7wSWhlde+gzCrujZBYD8BsN9B0CCQNvaTWxzLIFPwSHBtORPEcouisuzfOijQJfgKYi0lOJsUwaUMmBWlvUPI5Jx0LuxnMEtfWwnNvvVAWyM093AOGtvG1zwEqx4Ftggsy3YNlPJ1tDnzPOL8/QtpglrWsb2Fr7MitFv7qFinftbX7TyK62ncTmDRWbY7SLIv6wVqatP7ykHY2xJQlmy84It5h0L1oz8DR5UDtKpNdYkf1gVZ3mz03nPfBt6hbwTXBIzVznml1zcKBG1Ml+BNcGgRa52D9WUa2myOAltLVUc7g0r37fDq5xiB1lK2+Xm5L28LUr2g1vx49FWvSdw/2yJZ2dstKsu5yN7BNUq+XHYewb8BLdv1/LO86mWnlL4jGBvIStHGUp6rfBmkSg6AEWZdsZ52bNsqEQZbWGf1sc2gUZFYB1iBo0VmBbS0SQCXdtZuNg6WDreCS/kXKEu8VrputpWBbZqXSXmK8zIAt/7ebr7Np8aVT0k2fL4ZvKbsbMvCMc376j80zP5/av6YUUYZ/RW6c+fO30V/6/EjkVkuDlrMbPHQYiI4JZCxPhUB0kLmsod/UhdA9hmpXwA1SXkBpSBMwMW8FEHN4EwwqtRsHTBj3iDQ6mKkNtqEdkp9zVcoW7vSNBsH09hf/tOBVIrjpOxtHrE9pLFv0l95pmYX0ngNLPpmdfRJcGggJMXr4pE5SfDp1yHKgJPpVrYZCCofpHb7MhiBzPJUClxZZ3leTwJaTBsJdE2EP/Mr0CNAKmLZREhsNhEOCY/NA3fROkQN3mP5LiHzLjpYv23oNnaevY2DI3dx/MJ9nL7yCIM338a5O+/j0v2PcOXBY1x68BHO3HgH3Vcf4NDYfeweuon9527iGO1PXnyIoxcf4OC5W9gzfAu7zt9F58Bt16AivwRJyrcbEFiZWjRYEBthVvWcu21XMKB1wI2gHaF2K+0sNZClmLfIq5236nkdBdRRAlzBLa+dgywXfMFsAFiplWWLCkt8PZsFo7Ij5AmcvM7LBrWUANHrAkzS3iGT94fgz2xYNtFfUuZ7S+2yDeUELpVyPHv/MW/gybJtFWAa/Qk+DYSZN+DWHML4DrHy72PY3NSHPmOfOJ7PU3NzW9lYv1Df1EvwUZ2AVmJdsr84gUYCj9JethP4JOtjX5qjNEfNPRFtrD3YSWmw6c8o2gVfGk9AaxFZpfTZTHuLfioN/QxmzZ/mGn3pOebzSJ+bP99c1lf1QYLBCLMRXh0ElSfYGYw6oDYLDCOg6hwInALWZkmQaRJwCmQVmb0cYJYSSBq8UqxTanAby1aXsmtgfwGt1Zk0Hs9LviNsCj7NPtXfU9YH+yQKG+2CrE3nmdjJl/K8LqHcdJzXhmkGZjPK6F9P3wemf43+1uPHYVaLoS0QyvNBzQUiLpYeVdFCprZUGhdRA7AAbgZ47G8gHKAtATkDLQewCLTKR8h1xT7Mm00APva3KC3zBqlU/LKUQWOarcEq62Pk0+cV+6XbCTgDdErBVuectDFvvzWqOrsmsvVroD4xKpvyI6gWHEgOn7pGfg2YJzTp3OL2AUVHzc7yrJN9yEd4lS9LZRuuoUDWtxpIhFYDVirJ3zYp71Kk8g77uwS0TYREk2BPoEiIbTt7z9J2Auzu0Xs4fvkBzlx7hAu338H1h+/h4fsf4QPeSJ88+RxffP0FvvrzV/jzt99wwfkG3zD/9Msv8OnTJ/iY7e++R9uPP8Inn9H+s0/xoe69Dz/Eu9SDDz7C7Ucf4sq9d3Hx1iMM33yA3qv30X3pPo4SdPedvYWdAzfQwWvfznNq6SFsUlu7teWAsN0vcc6EUdtyQPj1qLKA1eFWkVqT8iYHdwd5B1pLCaq2j5YyiD2jNsGs4PW6gyzbDGb5WtgXwwh0zf2EVtnTJqXY7nkHR76vTAFqrc7TxI73kLUzNbAUyMnOyszbvac0vS74Ytn6U/KX+A91Zh99MY1zinYRZlVv8w/z8L6EE6YGidaX5TSlwFaASECjnUVFmQpum1hnIvRaNJttkj9fCENs07YFA3H2cdh0GUxqK4P8G2w6hMYosMOlt1u92gWbystnKMeIbQTVCKW2FSDkrR/LzYQ1gbCPr/nJT/DJNG5hMBuzo41SgaygLtQLpCOkCk4FjL5lwGFWUdgWtrXQziKyVu/tEUTVt1mAq3azUT19pUVJzc7AM1WX3mZQbb58jl6WvdebjepD2zOS37R+7k++eJ7KB5g1CA55pfKbgdmMMvrX0/eB6V+jv/X4YZjV4kL5x416cCuvhSwsaFoAgo19HKk8660PyxEgzQ/rBXYOf4I4TwWdtn+UMhiTveoIaRFuDTQJeQ57qtMiq/GCXegnKLW8/HOBjSCZ+FSqut4YNVWb23lbSgaPSq3s52TnZn5S1yHJW5ltoc58xvOyOvdp/9OUfLPe7Sk7d5fvVZUCtDIv6bzsC0uh7ABLH2pTPcE0fqlJZUVe9QsDMQobwVVqVD1htYEQu/XMPc7jLn3e45j3bA+r9qDuOHcb+0YJrsN3sPPcHexheTch7cjZGzh38z4evPsu7j96B7fu3MWde/dw9+FD3Lh1B7fu38W9Bw/wznvv4NPPuVA90f+//h7ee/cePv74PXz59BN89sm7hNtP8faj+7h7/w7uv3MfN3kjf/j4fXz51Wf44ouP8cXTx3j65DG+ZP6Tzz7ARwTdh+9I7+PmvYcYu/UQF288xPDl+zh94TaODt3AIc5t55nraCdItPHebOW11TYB2yZBtfDcFFFWtFnXZuuAIDYNaA10ZadU14+vAWVfNtN2B9vyQPH6JNFYieNoK4Lv25WuhzTCKyHH8gEIlbKsiKiDIGVlvp4hqhvrrQ/vH+/nqYOn7h+/BwWOCQwL6KwuSLDFe9Eg1HyoH1MqeR9b6m1xLlancrARiOs8Hdo1Hs+J9Yo8t3AMj7oSWE4TbgSapynNha9FM8G0Va9HD6+TfLFOgCuYVWr9bJ6auxRAUPBnPsI5Me9/QKfk56fUz9XHjPWcu9IAnUlkXHm2aduBPl53yGa97IK8LFu2E2Yli+oG3zovwazBvNKgrT08L0GetTOv82DZ58Frwbxk2wbMNohQaKDLfPPJsQCpBNieFLQKgpsJjC30I9BVdNe2CQgo2dcjtIJa9eW4BpPy7XNIld2fgahSm4/8UOaP5yL7aJPY0XdSxz4Gr8zLp0l9VKdxXGYT8qrPwGxGGf3r6fvA9K/R33r8IMwqiuqwpoWSDyVbUPiA18IXFr9YjlEnLaCCMofZAHW0EbQJHi3P9pQEX56P0UUHNeZpb36Yt4/KDQJvsZ5tBpnu04HZU5Pa6c+AWWOEsSO4RnhN6mwMt0uBZ5TmHhZRk9r9Wvh5uRJ7XQPa2Z5ipSzHCK3a7ZpJghddK/XX2KpTO+duXzgiMAnEIthanwCr8ePwmDfIlQxgeX0MYp+LwLKuPgCtbS1gWXCnXwjoZN8d/TdwZOQ2Tl+8gyPnbuDw6C0cvXQXuznvnScu49jAVfSfu4qzF65h7MoN3Lp+E9euXMdg/1n09w5h567jaG4/gJbth9C56yiOnezHufOX7F46f/48uk/2YXh4BFfHruPdRw/x/gf3cej4GbTvPIn9p4bRtrsHZ4ZHcffuXbx9/yE++/xDvPfBe3j06BEB9h189FhQ+wlv1g+5+H2IJ4TcL796jG++foyvvqS+/gRfE4A//fA9XL96C/3nr2JX90V0ERh2D97GroFb6OK11JfHtPfWtiAQZrdalJbXWqmuN6+HtjDYLy0oWhvqbLsBr3kb7QT79trwmmkPsOC1VSLsm/jaao+wosO2RzjamS3Lglja+XYEggNfW4PdIINWpbJTnnLIVOr3kEEt7x3VR3BN9t1KspcEWyy7H+9rfQRXVuf11hbGjn1Vpwi0Q3vYaqGy+SNUScz7F+EILoTQmDpga2zWUYLYVt5LkuA3RmetXX1oG0HWxbzZMCUkKo1R2wRY6VN16QCrPv6Ht+Tnb9scmHeY1Zw8StxKv60CWrMJErAKSmXLsp0fywbs8mPn57YGsLIJbVEGrUwToBUsqk725l9iPWUwr1QwGaGSwNicQKyAVjaXrd4it2onRBoYExIVxZWtgybzEussEmv1io7KF+edwK3m9aws4qu+Zus+UtIcaMe5C2ANlg1SWSeglSLQJm3Ka0xKfql/ZJjNHJkjc/xzHz8amTWQ5QPdFyemzKdHcxzAfKGI9VpU/aN3L6dAzxXh1WBSZdo7FHq9tZkPr49QatsRAsjKXzqkOswGu1AXv2yV1NHPs9AbJFuzV3/ltSjGOWsOXAwkLbgsm2gbr0eUg6nSFMw2EkAcMthX/syn+02BraDU8/6lI5fDQ4jUyoZw5N++J7gSsFJSW8w7qOoj9a39dwm2d9Bw5g7qCWYNEm0EaPrVgG2c2/7eK+gjoJ4bE6hewb7uUew6eQ5dRwbQvLcfLTsHcbT3EnrPXMLp/nMYHrlAIL2C65eu4OqFMdwYu4TrFy6h7/Q57D18BvVth1HXdgh7D57C6LmLhN4ruHThIoYIqoODIwTcy3jn0X3cun0Dx06dRceu09h++Bw2bj2M3exz5do1fPTJe3jw4D5OnbmAQz3ncbRnBOcv38SVW3dwsn8Ao5eu48HbD/He++/gU9p+/c2n+Prbp1zYnnIhZP6rT/DV00/w+Scf4YP3P8Cjh+/h2rV7uHbzHm7df4BL2rpw/g4ODN9E1wCvMa+99si26MtnitYG0G/p097gO4RSbVtQhDe8LrS3fIBVE/20niH48JomMMvXz7ciyL/k7RFaU3DrqcpJW0gjzMZ6A2GrC/DJsv2hqfuJZaVJH9Xxnoz21oflpA/zUmLLet3TAkuHbIEqYU15jaX+amefFt7PrdYex2EfibBn+4ajD75vJIdi9ZMINoI+i8oSgHoJbJZK/l6z54388X1p4GjvH76fWG9/TBIM/Y/KIPPnc1Y/i5iybwRYtUXgje2CUJPaJfqOflI+UrYGqkEGrgS7lpAakArO1W7Q6v0s6sx2s1HUkvXpEVnzQVg0BTv3J3sHSPMj/7KnXbTxKK77MNCUT5btJ7qUp63DLBUANNmSwLxvS/BorgGo2mkrmwixCaiqLm2MpM7slKb1E8CaP16D5ItlrgzMZo7MkTl+quOHI7NcDAS0Bml8oMaFwxc8yRdH+0hOkh3bTVp0ZG8LoOw8dXgjiFIGl/QTofVZoPW2Z+qUEjITmJUvpZZ3e/myL1txPgaUSmmXgGuQg7DaZM+87FSm5MfPVYu+xg/no3oqQqwv7oQE9vdodWh7Rm4T2wwqaOuRbNYLjghFBguUA4zDq9kaQDlIWV2QfWGJ/TwSS4glqCoiq9S2FxjM3uOcCbTsr7m0E7h2DFH9XDgPnsP6+qPYtqePUDmMA4fOYMeeQew/MkoNo33bSXTtOoFhAuuFSzdw4vg5DJ45h5s3rhJgL+L6xQt4eOMaPrh/A3cuX8TxY/1oaD+GxWt3YtHqbdizrweXzo3ixqURnD49gDMD5zE8NILLoxdwl4B7fuQijvaN4uCpS9h27CI2thxHx85TuEhIvnv/JgaHWb+/H+0HBrHj6HnsOT6CbYfPo2FbP3YfG8Vx9hVcXxy9RGB9gKdffGQQ+8Wn7xJkP+RC9zn+TH3zzRPWP8UXn39m2xY+//wD2j/Cndv3cPnqLQyOXMXenotoO3mRcHYVXWduoYvXV+o8rV9mIPjz9Uh+bizCq8DzDKW8IrsDfF0EsyzLxn+GTCB708GW8jbahLL9pJiAWH6iL5VZr1T3gvob6AYpAhy3Nzig8p4S4ErpdbzfUvt406T71GA23I+yS2v36CwhRG1BBnaxbH6DWE5gVyK4WUoZzNqvOhBuQtltXNYnQm0CseGZQXkfjc0xDSRZFgiqXc8iiWXNzewpA0zZWx/Koq5pZdlIdh6ed4j1suVDfRxT5xnz5v/7FOGTeROBTjBr2wHUT2CrqKhAT3NmnQEuy62sb7U0QGn0kURsQ0o1m9LGtbG8/hmgNNAkTNKvw6y+GCbATYHrs3toQx/NL/iI0Oq+gtiu+mSsZ6S+z0lQG35dwmD2xPUMzGaOzJE5frLjP98zywe6LR58yFvKh38iLQB6OEtcgBRRiYtSAn+20Grx9MVS/pIoJmX/t73G4EIr+DNINbFO9rJjm8Os7LxsUGxzDFFQ2tmvC0i0ib8g4GkazAqILa+xn7WNkVSLwup8WacFNc5lK2FE4GALoC38lGw4ZsoupJTsInyY2MeBVSKwKCWwRIC1MdJgxtqUNznAOsgKWgWxQVbP/gPMU80Dd9A2cBfbCbe7B29i39B1HBi6iu3HR1HT0Yulaw+iet0BtHacwvad3Th48BSGB0YJnGPo6ujBjh0ncXZoGBdHRtBzYhgD/Rfx8MFNPLxzA8PdR3H1/CDeu3MFNy+cx4kjp7C8ejvmV+/GwvV7UbXxALbv6kHP8TPoPdGLQwd7cG7oPMYEstfGcJPwe/b8CI4TRnceGUTb3iHUcsy+4cu2b2b47Cg6dpxG844Bwusgtu46i7bdZ7G5ox9rt/Zj87YBtO8bROu2Yzh0uBeXeb++8+59PP7kHXzw7h289+AWHr93lwD7Pr75+hMujE/w7Z+fMn1q5U9pd+3qZZy7cAFXCeRXr9zE+dGrGBy9Rri9gd6BMfSevYy+0es4dYHXbfAqwfYK2nnP6DdyBa/N4VcW4j5a+48dqFZCadxe4JFbAavyEu8Fym0EpoJjtzGffD21/cFA2HypL5UGtBbtlZS3+8PvJQddpnZfeSql+oY01Osetihymm2Mshqkss3ub6VWJpDFNr4vbLsA73eVFaGN2wWazU55fx7ELQT2Rx9T9Y3AG6HRPo5n2aPFtDUbf+8o7xHUAHBqD88bj6I+W+9w7nMzGLU6H8fGDrJ25TV32dt8fK6y8zEl+fL+LsKjpPMNMG7jp4GoAScBTtsTDGrpw9oFfbKhP6VqbyXsCWht64CkvpTtF06DWEGkQyuBVGXOQftpBahuF1JFVy3C6uApWfTVYNbLpnRItShqyKfZCGRtTtGeaQK/9P9MlNiA3ceNX5izbQ08P10LA+jjmW0GmSNzZI6f7vhRmDVYC4uKL0q+4Dhgphaf59uTKEu0t3wAVMurv+AxDV45nts4bDoQhjba+ly4KCqvdsoAN/iyLQLKqz9ledVrHNWZLWXRXa+3Plyw7f/VV17zZhqB1KA1KJYl+xg01FlEi74s5fmk+kawCAusRIhJQbC3G8gqT+BQfwNZSnAao3X2HxUQWrXH00RY1ReYLBKrMkGodZAiyLYPXCd4XcbOkxdwrP+SRUC3HxtETdthVNfuxeqag+jaM4htBMbtu7oxdHYEI6OjOHduFEe7h7BrXw9O9w/hGsFzcGAYp0+cIchex/tv38LI2SFcHR3GR+9cJzRew1DfGULnYcxdsR0b2rvRtHsAm5pPYmPTYezY241DB7p5Lw1j+Mw5agg3rhGY6VPbDvqGRtFOaG7e1osdhwdx++FdfPDefRzY24dTBOvTBKOG5iHsOTiKoZFrOHflDuF2BG+tP461TcfRsrMHZ7TV4cFdnD5zFt2nB9Dbfwb9gwM4NzKEtx/dwCcf3sNXT97Dn7/5hED7OdPP8M1XnxN0P8E93uvnL13EyKVLBrVvP7yHj957B/dv3cW1C5dw/cpV3L93C/fvXMfN67dw6ux17DtzDR2cl2BUPxsm4DTAZVngZ2W+HtrGodetTWXZDfB1FMRaWalHZtXXgFX27CdZPvpm3iO97M97Q7bqk0R1Y73umyjW6R6LZYsCy85seQ9SBrOhr9noPuU97EDs96rd92ZLOAnvbQc/ideA7xWHYdmyrY9QQ1t7DgjWmEbZfU57bTFwwFUa20If5Q0S1Z9ian3kS5AohboIhIkd5+D9vd6jsV42H0ERcG3+Zh/O09roz+x5Hfh8sPNTXn3lS2PZmIJHAmCw97qUYgTVQDj0s7mrn2wEfqzTnl37clkAwQQOzQ/9Mp9EfOmzRRBtwOpAK7DV3loDVZU1bgKUgk4HWovO0i6JzrIsUHVYdVuzj7ZSaLf9s/QjILW5GaCqj1Lvp/b4JTlvczkAKwocwJq+MjCbOTJH5vipjh+E2QhbDnB8UCnlw90itXqIJ/XPKkZnzY42JssLJlNlh10vR/Bz8GWbwJapf3PfwS/aOAh6exLNta0Hz9XRr++b1Vgsx3or+/iWBlufm8/Jz83npcVeqc9b8/NzT6CVqSn2oX2ECU/jYi+l2j06xnZBiZUdYu0LR0ztx/0JN8r7T0zRloBjPxEV5F9ecsARJDQcGUXD3kHsOnIWB3pG0XloGJs6TmPhuv1Y03QITdt60LajF/sPnsHunScwdO4cxsYuYnDwHPYfOo3uviH0DQzh5s2ruDZ2Gcf3H8e1S+fw3sNruHf9Am6MncMHj67h3btXcOXiKHqHhlG74wTe2ngIdYTjbcfOYuWWw5i9ajc2tR7HiZ5hXLh4Gef7z2Oodwhj50dxnHMTOF8Yu2ZfKuvc3oejJ84SGK/hzvXr6O8/i96B8zjVdxGnTo0QgK/h44/v4J1H19FzfADtnQTgruNo33WS8DqM0ZHL2HegDwdP9uPk6TPYtf8w9h06irGrlwij1/HB27fx1dP3ufA9pgi1BNpvtf3gi8/w/rvvEnwv4fDJAQwRYG/duYX33n2Exx88wmcfv4unn76Lz9+/j89V9+gR53IXJ4auYkf/ZXQOXOMfDjfD/1DG18D+mLhNCGXKPzIssioZzPJ1EsSGvCTodZtgH/smYOtt8m99rEwfTAWnSQQ3AVW/jyzPegdR3WMuuxfNjvnQJ+nL+ztGfBOQ5XvDgZb3re5fyuCUZYvUEl4tOmsK9WwXJKbLgJXt5k+pyrxXW6ikPbETzKkcbJ+TR0o1L74HFRllXbocGmWbNlYAaPk0YGe74FiQmoxnfXQ+bJMN0ygDcINMt0uNw/GjAni6TawPfkNedXF+glz7hYcgB1W2EWwNShPb6CuWHTrtI38DWim0W3+XfPi2gACSQRFAFW21vNlRBM8InRFoo62LfiXa2HgC1Qi8qjuR0rNjpuVpl4HZzJE5MsdPdfwgzPpiRshKFgbmuSDYx+omPni5WFiUMuaZJtFY2qYAk/YRCK0+9JM/6x9sktSB1cd0GUBaSj8J7DqgKtU8bV7yyTQ1lny5nUlt6e1Wn17WuC758ny0CedHIBCUuthOIIjwEEHWo2VcQA0YZOPtNj/ZW58gzV8woo+aDUoivBBkaKd8u8oCHUGMfHIBa+2+jLZjl9C07xzqdxNQjw3i0PFhbD84hJZd/ajb3o+N7aewpaMbLTu7CbI92LWnB0ePnMKZ0/24fOk80wHs3HEUJ3vOov/MCOHwAm5dv2qR1NHBQVy/OILbY5dwZWQYt69dwNt3ruD8wDD27TuF+s7jWFF3CPM3HsWGXWewfsdZFL61F7NW7UV9Vw/OnL+I23duEGIvYfDUOQz2jeDAgSFcu3EZV29cx+nBC9i99zT6eodx5+Z13L5xA0ODwzjS3Y+zoxdxZWzMtjZ88tF9fEqgffc+ofrKVYxdGMMxAvDh40PYc2iIYNuHkwMXMEAwPd13FkP959AjQOU8bxOGP3j3IT7//B0ulu/hm68/Ish+TH2Cb778jMD6GG/fe5uAfRXHeQ3O8vzv3r6Bx+89xJNP3sPTT97GZx+9gy8/ew8fPbrHttsYvX4bpy7exi7eC20GMVdtT3KHXie+PvoPJboG9R8/3EZ7+M8fFDlvG6IGBb6UIDVE0x1iCbOySeoceAXKfi8EBbC1+yDW6R4J94W1WbvuPUr3oN2HFGHY65WqT0jZ/ox4Xg6u3jcBWaqV0CpZ3nQdbbx/PaX43pa0BznaWFSUaaLeK2wjVNHGJGCM0Clbyj/m93xSF+oTCFW9QI7vZyn2idFiPVuSMcLYbuPgamXzQUX/VArCZUfJPvSxZ53sWbYvfbE92eOquYT6JGosmf/oR+NzDNnaveO+EhA1H6HOJLh138k4NlaoY96iwQRGi9xGBYhMRXcpgajqTP4TYCnwVF20ed7Wf/vWfx6M9dQzWwusjnZKu/l8ZF06TLuvzBfAMkfmyBw/3fHDkVk9rLRIEBzt4coFQhEcA8bwkHYYdSX7arkIGKCqTraWeptFQ9kWywLECLPa+yooNWncIP9ZHQc+2Wtfq/sK0VTCoAMw8yxrng6eoY2pzYHyCKyPa1Kf0M9tvM1BNs6P0phWppjX3tkYYVW7gCDCquZpexWZGggbMChVH1439SN4eH/BgsAjRONoa/DCNkXfBEjtBJB29m3vZ99Tl1F3eBRrtg2gftcA2vYOo/PgOQNXRV33HTuL9p192Lz1BNq2nUYb63cdHkTXHoJnyxHs2deHU6fOYqBvEBdHzqOvpx87O0/gwKF+jFy4hqMnBzF26QquXRrD2LlzePvuFTy4eZUgewFjIyN4cO+6fYGr9+RZbKg7iLkrd2D6yj0oeGsPZm7uQeWaPoyfsQvLNh/gXPpxjYB65/Y1XB69jJPHR3C6fxSXeH8NnLuI7Xt60bm3h3M7if7+Edy8dQP9Qxew/0Q/Dp8awNlLF3F+dAQ3Ll/FpXPnOZerBNq7+OKTh4TT++gfvITmbX3Y0HgKq2tOYNv+YfrlfO/e5pxvYqT3HE7wvMYuXseDhw/w4O1b+Ij9v/xCQPuhfVHsmy8f489fEWqfcFH94D3cvn4HZ89dwlHCtKK8t25dw+MP71uE9uuvPjag/fT9h3j8/iMuoG/z/B5h8OIdHBy6ht0DV7F3+A52EGC3n2U6fNfUxXzHMKF2yCWwVURXMNvGsv6rXvvvepWPEGtQG2xkqzpLfXuDlRW15X1k94uAVHlL/d5Jl/9sGFNFh5mPIKu2mLcvl0myFbDyXjfFclCb+jOVrbUzbacEsu18LxnMWl+Cm0SIS+CQZamFMCugTSCTfQwmzSbk+TwwkEz6qRzq9TwKfQzUrC/npTTI+rB/Mqbei9GH2q0t5SfmW8N8NX+boySglL2VmXJMganXE9YMLF0WydWcwrwiSMreo7Aus9FPbiV91cf9WypfrDNQDWX7spxS1llklvm4xcAiw0k+SCAZU8qiq1ann/6KetbGxTkwNUCmkp8Ek2hrc2He+tl80u0JsCwLZOXHQFkQzHwGZjNH5sgcP9Xxw5HZsGDowau9Y/aj6WFBiLCnvMFeWBDs4a16LnYJ0FL+kT5FXwaIzMf/bMD6ylZj6JvjBoEOiQ663ifCpP+ywDXf58o+yfYAg1LaEwS97HbWV3nZcnzf3hDEOpsj62w8Lso+Vhib5Vgfy4LT+EWwGIX1bQJKCaZM2+zb7/F6OSDo2+7eT/2DfQCJLkKLonpaRNv6r6JDEDt0y8Zo7B7Dmh2DWNHWi3VdfdjU1YOWvWew78QoOvedRW37KdR1nkTXvn40tvegpv4Q9u47hQP7e3Ci+yyOnRhGc9sR7N7Xi5GLlzA6Mor+ngGMnCNcnhlF3+BFnOq/hPZt3ahvPoihoRGMDA7j6rmzeIcwd+PqGHp6zqCv9wzB9Aru3LyGw0cHsHjdPsyq3ofK1fuQs3AHcpYfQklVD0oWHULz7lMYGb2Im9cu4+6Nqxg5exHHTw5jhGB66/4d7OLcl9Ycwrbjvdh17BT2H6H/s2PYceI8tu46jW0H+rCHIDo8fJHQPYYje7vRe/Qk3r1/FZ9/dAf3rl/DwUNnsXztASyoPoRpSw9iyYYT2Ht4CLdu3sD921dx7cIIBvs45oUxPOB9fe/+dbz96Bo+//SBRWi//vo920+ryOvXX3yAbwi3X37yPt57+AgDw9ew41Afjp7uxcWxi6y7gy8//QBfPyEAP/nAth68S7h+V//pw91HOH/1LrZ1j2B56yksaOzG4o4+rNx1Fg1c1AWz20fuY9u5e9gmuCXwdhFcOwil+u+AOwiuglu95h0BXm1/rVLKtiRIvD+05cDtPWJr0XreP+38Yyjuo3WopXh/tQt4aWNQq9QU4DWK95jnlQpUBa8u/REleHU5uEoCTINepZSeDwJYi8wybRf0nnYo9HrBofrovU4wYltK8sGU70GHSPqlPwM/1qnN9+PqGcRUdZSeGbbdQfAXANKBMyqAFvMOr/Ll/nwsjaOUtlGypR/TM768/Oz2A4ErIS0tNQCl3Vb+0akoq31RS/OKPin1ddj1+SXgKwlI9dxVatDIPswnP9sV7A1ak34xH86XbQ64rBNQWp4yEGVfQagg9mSAWQNNV3qE1u3URyB7OcAs7c2/Uu+ffAkt2EvRTyoy6/4zMJs5Mkfm+KmOH99mwAXEFg2TFjEvO6j6gmIp7SLIxh9NN7CkjxQ4OjwmH/ULbCX1C/KP230c66s+zKu/YFT/xaXDK0W7CJ7RJto7xAaZXWijno/M+nkoTckANKR2DQSgOkfaRqC1aGyIvhq4EiBsewHr7Ms9ITobtwVYZJay3xslUMiPwSzTLpb1m6fbBm+gc+gmF4er2Hz4EpZ39mN+3SEs2rQP69tOoJZqIHS27O1Dy+4zqGnrxsbmo2jq7Mbu/UPYs6cfB/acxOljvThJUDxx/Ax2ESy7th9H/5mzuDw2xvoBtDQeJfD24XD3eRw+PYL2XaewePV2bN99DAP9Q7h0dhi3rlzC2Oh5HKWPDTV70NqxnwCsyO2IfRy/qu4oZq3dh/mE0hnrDmLa5hOYufEoqpuOYvDCJfsJr1uXL+La6Aj6Tw/jyPFh1l9Bz+AItmzvw5w1h1C7mwC9+6RFj7ftG0L9ziFsOzyChg6ez97Tdi8+vHsLJ/aeQPfRE7h97SIe3hyzL5Rt23YG62q7sbZtEKsbhjG/+iSWrDlIaD+Fy5zjndsXcH6ol0B7CndvXsG7BFl9ce3TD+5Qd/H0s4f46um7+OLztwm4j1h+l2DLMvXJh49w9949DJ27iCMnBtDdM4hb167gw0f3aPc+vvj0HXz+4T08fucW7rC+v/88dvNabtg+iJmbjiB3yQ7kr9iD0lWHML9xCGv2jmHjkSv2Sxv65YnWQUVrBbf3CLv30DmoCC7TIdYbqKYitskX+xS9tTYBr8R7zKS6EO2lb8GrifefIrdR6ZHadklgqzLvP0Gs8h6F9ftZAGsRV8qgNuTNnhCZRGz5ntDzwWCXQGgifJr4LEhgVjDItgRiWfbnSlRskz3HNJj1OofNaOPPHRPfzxFCU3XBD58VDqXyQ1k+zE9ine1Zlb36C4xZb2OaD/kSePu4Nn/V04+nBDQTQc+AlinL5iuAreBSPztmcyLwxTqVE/ikv7i/1ufsqUdx1Y/91cfaYj74Svx46v75/NVY6hfHVAQ4AKeloWwQa1sHWA7QGUHUyrZ1QMDr7YJZna9g3cYLUGvzMXuWBbhWH315nfpmYDZzZI7M8VMdPx6ZNaBTmiZbQAh1oZyC2Cg+WENe7Q6YQcobpAZxjNjXfqLHbAM0RluW1dcisqHdxEXVgTTWKf2ungFb2qbDrIEr/SQQy3wE2fiRa4RQ3ycrGwfZVDTW5dEtggptDAasnkDLOtnF3xKNe221BaLVPlomVAzRnmndiSvYuO8CljSexqL6bqzYehLrWnuwpfMEmradwIaGg6iq2Y9VtUdQVXcKKzcfQcfuXuzacxo9p86jr3sIA6fO4OThbhw52IuurhNobjmEAwe6cepUH/pODxHO+rC17RBatp/E1u29qKo9jDVbjqKtqxtDZ4Yxdn7EYHZw4Bzh9iQ21O9H1dodhN+TuHltFLduXEBv7xBqmw9jee1ezNu4G+XLt2PupqNYsGEvdnLcmzev4+6VMVynL0V5jx4bIHD3oH3/GbQcOo1qAvmMdYexuO44Fq7bi+adfVjf0M9zPYNth0bR1tmH7mNncfPqVXz83l1c7D9DP4O4dpHjXx7jPXqDcHwJNfUnUb2lB/XtF7B+6xBW15xEY/sJnL8wgg8JrZ98eBf3b1zCvauXcH30HB7cuoxPP3qITz98iM/slw4e4cmnD/D4o9t4/MF9g9SvqKePHxqsfvjwLm5cuorhgREMnz2LSxcv4MG9W/iEtk8eP8AXn72Dzz5+gNtXL/P6DqJ1fz9fuxPIX7YLr0xrxptTWzBl7i5kL9qH3Ld2o6jqAKbVn8CC7QNYvOccVh0YxbrDF7H5+FWsO3IJaw6OoubY5QCzd+0n1poJq4JawWz7gCK6kkdobQ8175tW25IQxPvMgTYFrQauLNuvKLDOZDCr+zXcu6HdZPdwAFm+FyziGsqC3FaBK9WiL4FFcBXYKj3NOkp5bTlo5/vNtx6o7UoCkxEYE9gM/SI4tlm7KwHW0Cf1pTRvS+/rfn0MB1ABa5TqmUoq85nTSvA0OKXky/vIh+YVfMZ62RPcogxiBbMGtC6LCEtsd8DUvGWnfCwHCA12FjVOYNb1zJYE2idR2nQ/ppiXH/mO41IRYgNcxshpArJSBFZri5FWh0+LxIZU0Vkrm68ArLbvdiwZx1PWB9hV32iztWcsA7OZI3Nkjp/s+JE9s3pA6kHKB6oBntK4iAQIZb2XBYNeZ2X2iTCsumdh00HSRDvVOcxSTN3e60wqcxGN9bFPjLiq3qKmXOASG1P6mBTblVpk1/yyD2HZ5/hdeUSWeY0TZHVc+B1gHVTtCzjMe3TW5XWCBrXLltePdQKTZkJJ45lb2Mgxqo5ewvwdZzGjtR8VdT0oWXMMlasOY/bag9iyow+bOrqxseUEarb1YDPziwh+FYvaLF1bexBdO07i6JHTOHbsDA7q1whODuH0qSH0EqxO9wxj985TOHq4H6e6+3HseC+OnBxA1+E+bOg4gbdqD2H+ugOYsXIfFjPdvasXV85fwMjwCAaHzqHzQC/mrGgnMO/Czj3dGB05j3fvXcLw6VM4vPc4DhBaN9bvw9K6fShd0oHSxduwouYAzhCCH966givDg7hBoD1zbgQbmg6icukOzF63j7B3BAu3HkX56sOoqDqEhev3o47nuq6pDw07Oe6eIZw8eg4Xh0bw9t1r+PDt64TZ0+jvOY2z/WcxMnDWvjDW1noCDVuPYGPTUSzfcADrm/RLDcPo3DWAY4Ttm3dv4NHDW/jgnbvULVwfIaCf6MWda1fx7oM79lu0Xz55SKAluH56D48Jvk8/extfPdWXvR7h84/v2f7cpwTfjx/cxv2bV3DuLK/rmdMYPj+Id+nzE4LxU9p+8i6hmX73HezBrKouvFi6Gf970lr8Knsj/pBXg9/nbsYfcjfihYJN+FNZDV6Z3YTX5rXgtTmtmLCgE7nLdiB7STuyl3ZgxuZD2ELAaB26izYCrf773c5BfaGMKf/4kSzP+0hgqyi/INZ+WcGgNeSfk/0kmFLapwDX798IuvpfzOJ2A4vW8r4VzBrQqiyI5ftIH+8nkdkAtokC0LaxrZ3vM/symBTqk5TvxWelNs+n4NfHsl9OUJ510ncAlnKYlty/tjoIpA2mqQRSNRcrx7kpeuxjpbZEyKfDqs3B2ikCmsl8XTHgTsBWYp0il9pKYQCbpubTrLd2Qh5lWxDYX5FUh1mOGfIRXl1sSysrr7ENtDV/1dGXQy1lEdlQJ8BMUtUHwDTwpASwIZqagKylAVJNDrL6sqnKTScvsf0S20NKSDU7pi1MWwSzidyP/EkZmM0cmSNz/FTHD8KsRwT0IOciFmQfvWtx4QNe4GhwZw9ft/N6PjTVpnrVMU0BbITL9K0IASxN7jeCaZTDbJDsVaaN9Ve7pWqTTapPeruUHt1NjRfzOjeXRWAJpTaOgJdgqrIW/iQyq/29hFXbXmBie7AxcGCdPt7tpFSvL/U0Ez7WnbyGaa1n8McFXfjD7Db8YWYbfl7YgF8X1eMFpqWLtxMKD2JNwwEsWb+TMHuMMNtv4Fm+uBPz1u3CagJkT3cfIbUPRw73YtuO46hrOYhtu07j6LEh9PScRX39UezZ04MzfWdx5EAPunYew8bmQ1jRcBTza44h662dmDCnAzlz27CwegcOHjiF80OjOErgbdx+AtUtRzCnugMt7DcycgHXLp7HjQvDOLx9P86e6kX/qX7ansGu7iGs4nymLW5F884ejI2cw72rI7h24TzOX7yE5v2nkTef0DarFdkLOlC2ajfm1RxF7oL9yJ23D5s6T6Hr0DnUdg2hbe9ZtG3vxti5MVw7fx4fPdT/MnYJJ/efwO59hPaj/Ti07zj27jmOrrbj6DlxFkN9o6hv2I/FK/egejPrdw3hEOuP8drsP3gE54fP4u6Ny3iHcHuVYH1z5BIe2P9edhOff0CgJch+qegsYfYjAu4nH97H54/v45P3b+OzDwi0nz7CE7Z9xvL796/iKs/rTH8ventO4uLoeTyin4/eu4N37lzH5YsX0Nx1BLlzG/CLKWvxi6wa/HriBvzyzTX4j3Gr8NvJq/DHvDV4qWQDXi5Zhz8VUtmrMa6gGhMq1mN8xUZkzW7ArNoD2HBkBC2DN7Fz5B52aUsC4dW3q/je2u0sd/F+6hoi6OpLZry/LNrKNsGr/UGllOrQrygIZEME10A23JeCWIPdBGIVtdXWAv0xdt1+V7eD7w2D2TOEpwC0AlvZtfYTrlg2iIwp399tTJ+ByVDf2kf4MymvOrap3hSAUv5DnUDSxpZv1YV+ane5PwGktzENeWsn9Pk8eE7MO6x6+ZmxCXs2dgKLFOsdGiX6VB1hNYFaAqH1U97avN0jtEyVD9oa6gx2aWdRWY7nMOvwqTFUb89P2SjSyfZoY5FjiTYO0Mq7EhhmvQGuBSMEsQFcYxqANUZmfQuB10WQNZgVpAYYbT4RQPWkw63DK+2DzXcVxtB563ytnIHZzJE5MsdPd/wwzPKBKvkDXyLMEuz8I3iBKiXoi3YGgqzjIpf6GNDbE6DkQzeCrD3IWfY02CRgK/sIvCG1KGrwa8AZ+lBKbRz1j77Ybv6oGM2N9unyOWrurri1IIFawqv62RdetPjbIh8B1n8qK4nGGiREmwAJhI4mQsTq45dQsbUHryzagV9VtuLfChrw74WN+PeCJvzvnDq8Mq0Fb1Q0ofKtDsxftQ1l87di0brdWLjhIGYs34eS+V1YScjp2HEMe3cfwZFj3WjqOIJlNftQRfDV3ln9BwSHjp/Fnr29aGo94j/DdeIMDpwYwOqGw5hZtQNFS7cjZ/FujJvbgTfnNGFaVTuqm/ZiQ9Mh+5+1Fq7fgxmrd2Bt+zFsaT+A/oGzuDZ2ETfG9IsG59F3oh/H9p9EX3cvLl8dRW//WVRt2oaVG7fjeO8Z3LpM6L04jKGBc+jY3Y95aw8he/52jJ+zDRPmbkPB0h3ImrMdr5V1onzZLuw50I3m7adQ09qDXUcGcKK73z62f3RjDJ+8cwPv3rmM4dPDBPRRdHYSyredQGvrXpw+dQaXz4/i6uhF9J0aQucunnNbL899GJfHruHipYtmt3ldF3btOIXBwcv2qwofvP0A792/h1sXR/Dg2igev30dX35yH08+eYjHhNsP3r2J99+9hY8Jr5+8dwtffPIIXz5+QBF8qacE3vfvXsdQP6/roYM43n0S165fwsP7N3Cb0DxKYN7afBhZFXUWjX25sA4v5GzG76asJ9hW4/dTVuPlvLV4s2gjxhWvw7j81Zhcshb5lRuRU7kJE4vXY+K0zchZ1ILiqp1Y1NZjXyZb3HEGZWv3oahqF2ZvOYxlHaexZs9ZaB+5Iv+Cz07bd30LXSb+IUWI7WReXzazCC3rBK++JUH3LO9plSW7Z3WPC1rpz0SQZdohcBXEBpBNYFZ59eH7w7YlqK/K0Yb1HiFNh1FCmKKeSgPUxshqBNn0vCQfmoN9sczKAtQAq9GngSwV4FZ5s+MzRhFiAXkEa/ftc/Iy/dDume0QgkLWmaxOedUFGTRSBLVWAlt6nQErwTWxoQS0Hp11uLUoLceJWwI8ehtglmM6iAqMVVa7YJUp5xGjswbSqn/Ghm0mjSk/HCuApQOolyO8GnQqTSK0DrOyjXAqkG1l2spUkdcIrJZqjqeUss2kevcp6LXobChnYDZzZI7M8VMdPwyzhEfbOxcXMC4GWrQi5DpUKvWIgYllj5gKUqMiRKbqEpjkw1dtCaRyDIfPGMVN9Ve7jc12KTX+s/KxNA+H4lhnkBzqTOob5htB1hXKXJRtvyzztq3AIDVEtLStQHn7OS2HWCsPaH+jthL4fytbS1/LDl1AYd0J/GlRF35eXodflG7Br8tb8MdpnXhp1jb8vqINvylqwp9K6jF52lbMWNKBZRv3omrrEcyt3oUS9pu2eAcWrNqBjm3HsG/nYezfcwh1Lfswddk2FC7ZjllrduMtQm3znl5s33saq9fux8b6/ahrP45NLUcxn/7Kl+9CzuytyJrVwvweLCUQranfjSMnTqJ+51FkzW3DhNldeLW0EXPX70KngFVfBiPAnuntR++pfvT0DqCVAL1qTQd27D2MI6f6sL5xL+Ys34q2HUd471zCvRsXcfPKBbafwuJNxzFt1SnkLTmCN+bvwetzdmHywh2YMn8n8hbs4rz2Y8Ha7Xhr9Ta0bu/GyZ4hQvAg7t28jI8f3cDbNy4RQIdxe2wMQ2fGUN/ch3U1h7Bjx1FcJay+d+ca3r9z1f5b3YGB8zhwcAAnT5zzX1G4NWZR4uM8jz179L+dDWLnviFcGLuO29dv2xfcbhK6H1wfJTQTWh8/tL2yn350Dx++ewfv3L+Kx4TZT9+/g48eXsdnH97Gpx/cxpcf38MT7cd9+zbPcxTd3cdw6NhRgnwvRi6NYvDsOdtfPHtxM14rXIuX8jfi1fwaAu0GwmwVXsxejVfyqgmxa/FG4Rq8WUCYLapGTuka5JWvRU7xWuSWb8DkivUYV1hFsN2AiTNqMX5qDV6l/eul1ZgwbSMmTK/B+Fl1KFnN159/5Cxp7cb6g+dQe+Ii6hRB4z3ewT+ktB3Bf/M2/hKC/sgSwPL9LGC1fJSDqIFsgNWYKtIqgLUyfRtwBvlWBKZ8r0Tg9HqX2VsfQlaAWQdQpV5n/vl+t74ao1951aX5Z3v0aTCr9iD343L/6qutAFToZ/OIIKj+qhPAmlRmm/pKsjG7kBIOvc4BU9BmEBuVwGssu62it20sO8BSAtqYly/6d38OpBbJZJ3srF5+bF5xfkGqT+ZEuzQ/UmxzuBRkhnwoO4xyHEKm/VoBy+mgamXatqgvZTCrvObcy7zOTfDKfIRYt9M5e39L08bMwGzmyByZ46c6fhBmbZ+bAJaLS3zwp2DW4dUjtCEf0hgx3crFxODV0gCVbHsGULmARAj16Giwk7gwun2wDW1xO0PMWznAbWo+SkMUOWlXvyiWBamEVdvPStmvDGhM9QnwavtjA7Q6yOqjXM/rZ4/8o1r/2FYf5zYN3cTmM9ew6OAoSptOYuLqPfj93E78e1ED/q2gFr8orsUfKuvx8oxWvDGzk+rAS5Vt+H1hHV4h5FYu6cTymv0GoHPW7EHe/BZMr9qBrbt6CJGHcOzgCcLsQWzctA1589owfk4HClbsRj6BdwGBdQtht6rmMBat2IOaxsNYWXcQU1fsQM7CdkyaR03fgtKFDeg6cAqjoxcw1Hcahw8fQeWKFvw6byP+WNaE0pW70Ly3B6dPn8HFc8M4fuQUOrcfw/Ezw9h9pB+L1+3E1LdasHBdJ0F0GyZPrUfFghbbL3rr2kXcuX7R+i7bsA8lS/ejctVJ5C7ej/GL9uLF2TuYbkPBKoL4mkOE8L0omdOExVXbsIcA2H3sFEbOncV9AvH7ty/h/OnTOHWiG9cJib2nh1Hbetr2x3ZuO8yxLuPTdwmYj67i7avnLGp87Bjh9cQoTvf0GQS/c/8K3r5zyX7NYPjsZbTvOIO61hNo7tSvO5wnqF/AdYLw23cIq+/fxdOP7xNoH+Dzjx7gg4c38PF7t/HeO7dxdfS8fQFNv81798YYx71FoL3NPndwl+fb030KDe07Udexm6/dHqzdupd/gNRjfMkavJpbjdfzNuDVghq8lL0ObxJw3yxknWA2fw0mEV6zCLP5hNQiwmwB04Ly9cibuh6TS1djQnEVbVfj1ZwqjMuuwqSytayXnzV4meXX8qowoWwdphBuC95q5eu3DaXLt2HWpoNY1TmIjfvOQXsk9YVERWq7eJ/qp+A6LVqrLQuEWLbpC2MCWv18loMu3+8GlSqHlBLoWp7vNRPfb4qAPlOW+J7r4PvMI6MBHNmeDp0OoqGf+fQ6A1JtX7AtDJT8mG8HU7Mz2NV5hTpT8M+8oNXGDG0Ov/4Mi88za+M8I8w6KBLCBJIGh8wLCA3gYll5BzQDOkl5qp3AKHBVPvZN4JbAZ30NMtXmNolv1j8DuJqDYF8+dC5BDrdq99TbOa7a5VsSSCo6a3411wCb8m9l5gWmBp1uH6HVwDcowqjlNX/z44plP6cwhvUJqQGy8kqp7gzMZo7MkTl+uuNH9szqwa4HfpAe+IQ9LXBa8OyjQdbbx3uhLHi1aKfylhIa2ZZsPQhtFvlUGx/ADp4u68e6BGatLrSrb/BhwMr5qN6jxO5HMGtzMzDVwsb5Ek59npo769XOvCnYuX/m00BX2wv0M2L672UFrAJcj8CGCK1gVtI2gqHbqOLDu6yrH6+tOYBfzGrH/y4kwObX4z8K6vGL/Dr8e9Zm/LqQQFOxBa9XNiOHIDplTifGTWvBy+VbkDNvK2at3oG5a/diRtUu5M1tQ9nSTsLRYew/1IN9e5juO4aVa7uQM70Zv89vxvhZnZgyrxN5C9qwYP1uLNm4B6vqDmN13REsJ9wuqD2ASfQzeX47xs9oRP6cWnTsOYRrBLC7BMaD+4+hZF4jfpu/Cb8p2oJxM5pQu7sHZ0ZGMXp+GN3He7GVYN3Q2YPtBNlqAnLZ0g76acKkqVuQPasJ40pq7UtpHdsP4v7dy7h+dQTNHQdRtGAbshbutm/xFy7ejTfnbMfLPN/cqp2YXX8Mczcdxtx1ezF3WRcamg6j71QfRvt68ejGJbx3Z8wA9Wz3SfSe7DaoPnHiNLa0Hceq2sOob9yFK6Mj+EyR00eX8dnDMXzw4BqB9goO7D+L7dsP4+SRo7h+cRDv3L2ELx7fwfsPbmJ4cJjncxgLV7Zi5ZpdOHRsEIP9Q7h59Qrh+TIeP7yMpx/exFefvo0vPnkbn37wAFfGrtp+4praHVi3aQdaOvdi7MIwHt66xHaOzzm8f/8Wzg2ex6y3NmFK5Spen3q+RrWYVL7RobWQ8FlcgwlFG5FdQkgliL6RR1BlOqWkmjC7GnklVQazhQFqS6ZuQHbZaown+E4q3mjbD5SfUkzwrVxHrcUU9sstpQ/Vl27Cm0XrOFY1Xpi0HK8UrMXEygZkz21G+eqdmL/1ONYeHEHDiavo4D0toHWwdXUSZLVNweBWMMv3SXyvtw74+8b31Or9wzxtvM5t/P2mlM+DAJi235bl9gBgsd1ATPUsd/K9JjtFfG1M6x/yoWzPH+YTeO331CO6VwjNHItqp9921TGVPJIrG/pgn6RNY7PNQZBj8JljQKg6i4hSlgrWHAgTYFM5yPqzXmojsAlkDWjZP4Km8l52gG2NUU0qAqZSn0uwka3Gp6LPdj6PdR3j/lyD1jCGjaNxNY9oo7K1aQzNN44lGPXUgZRjqSzwtHrPWyQ2ttn2gqCkXyzLXv08nwJgz1tZ2xQyMJs5Mkfm+AmPH4nMhkWEso/10mGWi4Hg1SIb6QtQWIQUVUkBrEAzQGtSR5sIjtZ21fa4JqCqegPKIJYFtcm2BLOTD80l+In9Ez9qi/NJybcPeD+1G8xaqrJ8KfWfz9L/1GU/jRT2w+p/6bL/enTwDpqo9Vxg5u8dxoSag/jlgnb8f8u24P8q2Iz/k+D6b7n1+FVRK35b0oLfFDTi17mNeG1qM/IWtqHgrQ6ULtuObELm69ObMGFmIwoIhDlzW/Bq8Sa8UrwZ5Uu7sGLzHtTW78aunYdw+PBxbNy6BzNWdiGLAFu4ZCcql+3E1CVdmFu1HdOWd6JsSTvmbNyNIvPdxfHaCc9bMX5OG2G2CdPeakb/4Dncu3sde4+eRPHsOvx84ib8trgRvy+uwxvTGtF+cADdvcPYvusoNjbswuzluzC/+iDWtB1FBeF68iwC0uwGVCzpwNQV25BPWJ69chu27TqC+4TQ80NnULV+JyaUtxGkdyBnURemzGwhwLdhwqLdKNtwCPPrjmH2mp1YUL0Dy9fsxpFD/bh8fgiXh/tw88JZ3L16Ae/dvYKLAwPoOXQS55j29fbh0IkBVNfuw/qNXTg/eBafvHMTH96/hE8ejuDp+1cItGO4eHYY/d1ncHD3MQLtCYydG8S7965apPVdwfbIMP8oOIK2ziO2FWL3/l70DYzg0Z0b+OjhVTz5wPfQfv35I3z+4X0cOjCI+QtbMHtZOwpnN6J0QT02Ne3E8WPHDJY/evsKPvvgDu7cuIqa+l2YVFZNqCRolm3GpNKNGE/AFNROKN2MiYTZSYTM1xVRzV6J8QWrMKlwFWG2CtmFVcgR1FKFpYTZyvXIKV5J+NX2gxpMLqYf2RWznSBbPnMdiiurUTlzPUoJt9kV6zGxfANeK1iNl3Kq8Gp+NV4nRL+Uy3zxWrxCP1PmNKBk8TYsrDmKVR2nsYngv+XQKBpPjFGEDkJPx6DDrG1HGPTobdyWEOWgGZ4FaXn/NQQ+K87ouUARHtuZGkRStrWAUKmIo6BSENvJ92kn39eK7qqv9Qup+irvv3dL/2YTfEssq5+BLOdu0VeDVYlgZ7BHoBLUMS84VOqgm2ZPGRAKapn3qGcANOvv8rzA0BX9O0A6eEaATEHrGOtCf8GeQNDavD22OZSGdtmpLcCsAa2Nx/lFSLW5+3xtHqpXXm0ESIdb96l5WzSWvpt7LpkMSiO0mj3bBZ46ZwNX2pg4f5uT7FjuvpTWz/uabJ6ah5+nn6t8uj/Z/GvA7NfYUf05/o/mL0M5c2SOzPGPcPznMMtFRA/N1L64UMcFRnlbcLigSBZFYVmpgSIXogi+tg2BeW07ELBqb2wETitbm6KvIWWborOC2ecjtA65oe9zSkVbfRyvC4o20Y51WojlT+X4BS/7OS1FY0+HsrYbEGa3EmQ3E2CXHzyPsrYevLRyJ/5jWgP+bwLo/120Gf9P4Wb8B/P/UbgR/56zGb/Jb8ALpVvxCoFS0djJM7aikGBUsbITRUs78OaMBrxEcH2jso6A2IyXCmvxu2xCC+F2/hqC3rrttj9189bdWFGzE9OrBLHttm1gZtU+TCWYzFjcielL25E1uwmvlNVhIv28PrMNr05txW/ythrMvj59KybOaMSyjTswODSCw919qFjRjN/lEronN+J3RVvxq9xNGFdRR4Dejy0dx7Fo7TaULGwiVG/HzFUHCbI78WZ5E+dWTyBqwkLObcaKLuQQkmcsb8POfUdx++YYzvT3Y8XaHSictw0TOY+KFdtRtKCF505on7UDUxZsx9z1+7CY/qvWE4K3H8Wpo70Y6OnB8aPH0X2sByNnz+L2NYLnhYvo3deDwZ5e3Lh8AZcvXUTnzpPYULcbx46ewr0bl/H+g6t490Y/Prh1Bh89OI+P3r2Om2MXcZB2XW0H0KsvlF2+hKuE2OsE5Qc3RnGB0DwyPMT7fAg79pxEy7YTONk9YHt9P37nKj7/4CahlqBMAB7o6ceaNdsxh1CfP6cLk6bX8w+IJjR27MbZwdN4585FfPToBu7fuoadu4+iZG4NsqZuRPZUwes6TCC8ZhE0p1RsxJTSDZhAyHwlawVezVuBcQUraLMK2aWrkV1UjUm5BFsCblHZWhRXrEM+63OLq5FXug6TC6rwRtZyTCb85pVXo2TqGlRMW4vpMzcwXU/orabPVXgxlzDLMV/O860M0kusezl3pW1ZyJ2xCQVztti2hOzZW/jHVRPK+MdIxeqdmLN5H1Z29WD93rOoP3aRgHsR+gkmQZLe6zGCqve/Un1BTO91pcmXv9TOZ0D7GcIUoTJGQy2Kquio2iT1ozrNb3huUG0GwvShNNjYl7f4HvTnTVBoc4VxgixiSZjVmDEimg6ylqpPKDsEBmA0UKRYjlDpcrCNgJsObGp3kA12sknkddFPG/OS1Z2Wnm132KWdQJZpu1KTzy3Cr+d5jWyuqTalHsllPsxPc0htHyDM8jV1wHS1hdTaTznsNvdcNFuzUWQ1pgazQZqrFPqbdM5ME9GfQfE/RWT2W7w9+JTP58/xs/kEVuq3VU+w48o3oV1HBmYzR+b4Rzx+EGYt6srFwz/e04KhBSSIUKl9cLa4sc3aZR8WBo/UBrHe81cIjVKATMq2HBikhpT+0iO5MXrqNlFsMzspDZqDLDpMu1SUmDoTwFW27O/7AbnwWiRJbQFa+3z/oH+zW3tkFZm6hWaC7IYTY5izrR/ZBLGXFrXhF9Pq8LOiTfj3go34dXkNflFKFW7CL6WCDfhF7ka8VLoFEwmSAtUps5owZUYd8uc1IW9eI+G2Br/JXYMXCtYja04L25vxSlEdoa8R05Z1YhoBcX4VIYrAOH15F/vWYwL7vzmzDlPmNmHW6l2E2G0o51zy5rbgjelNHK8efyrZYlHWlwjPL5UIohss0ju+cgvmrN6GNY2HULGshbBbjz+UN+PVGV14fUY7fp29EX/K30wIbbWoax7heFzZJkzm3AsXbsOkaa14vawBBQtaUbnUVUCbKQTx6cva0Ni5H9euX8HZ8xewrm4fKhd3YN66fZhX1YWCGbXIm9WIceWNyJnegtV1e7F283bU1u1A/+l+nO0dwDmCZVfXYTS3H8bR46dxfmQUVy6OoWd/N7oPH8Gjm5fw4OYVnO4bRtfebmzffQIDg+fx/rv38e7tUdy71IN3CLWfvHMZH797AzcuXMCeHcfR2nqI4HoRo+dH0H3yBMc7iSujZ/Do/mV8QAjVf9e7f/dxNDTuwdHDx3Hv1iV8/vEdg+K71y7i/BDBbusBzFm6mzC7E2WEev2W7Mbm/Rg4ew6P7lzDBw9vYewCAaBjL6YuqkPejM3In85zrtiA3HJtCaAItDllhNqitQa4bxA2x+evxqRCwmoZ24sJpAXVyCKQ5hNgi8rXEGYJn0UrkVe8GjmE3TeyVrHPCmQVr0JhpbYlVKFi+joUlq0hJBNkpyzHryauxC8mV+G3OavxR95ff8hajRfYb1wRxypbjaK5mzF9SQNK52xCdiX9zliHgrm1BuBvctzJTIvfakMl/wgpX8Z7r2oH5tYcwPLWblS1n0JVRy9qDg6j4eQF1B+/YN9+195YAWeHgJPvs9QfuA6Z7WFbgD8nrngklu9Dq0u2DBC8BLuEWOuvlEDcwXwX37ed9GvbCZhPPYvc1vxTBq+SPYPoTzJYDGkEQ0EfbRy0Q73qCGIGg2pj2mHyNgfOCGwBZK2eYt5Bkm0C1Ah4BDmHXeaDn3SYtW0Msre62O4+k3KYs4G3AStl46XKHpWWZOvtCczSRwLhLKfvbXUwVZ6pANcglzLbdDu3FfQ6+MZ+aYrnHORbCyLIuv0/Nsz+BXf3PjGIndD+BfoHvzTtaPK67INfB7sMzGaO/2HHkxE0zs7ChHHjMG5CPlYcvMt3Qdrx7fvoq5mJrAlsp82EkhU4cDdl8WS0EZWT2PZGPhYffhRq//7Hj0Rm+XDkguEf+THPRUNQalEZpr6wUFq8VK+HqGQ2AWKjVObCYd/kVSrRp761q8jtszBL4ExTUsfxzdbKno99nwFZSnN8BmalUGcwqygSQdZ+suiM9gl6KojVb3i2D96y/51rC8F2xZGLKG46ilcWt+FX02rxy4oaqg4/J6j+e0ENfl1Ui1+VEF4L1uHX1O8KN+B3hMc/lW/B+JkNyJndiFxqMuEma+YWgmc9xk9dTxEeBDwLmixaO55QOIEqI0jMWt6JqZQ+1s8nqObMbcWk6Y2YMofwOFtAqf2121A4n5A8k8A6o5njNeK3hbX4Q/EWvFDRhJcrm5BNSM6b1YBxhRvxRvlmZM9twJvT2E6AfqGkCW/O60Tuoi5MmrGVIKufkarB60U1GM+5TyTsvlJSgwlTG5E9sxmTpjYge9ZWFM9vQRnnnEuozq6sJRw1o3RBM2Yt24rTZ87h8Ml+rKvdiXnLO7C25Zj9N7lTClcjb9omQnIz1jXtw7bd2vu7FRu3bMPQ0CDODZ7DueFR1G09hJmL2lFdux/H+s/j5u0bOHt6EIf3HMK9axdw/fIljBAae4cuYNf+fnTsOI3RS3cIoLdw5+p5Au8wPrhzHvcvD+HBtRH67UfnruPYfewMTvQNofv0GRw81o2Tx47h0b2reHD7Gt5+dBs3Ll/F8eNn0dl5EAMc7yYBd3T0PHr6BjnOCSyv7kDFvGZMXbIDFcv3EGh3YOmGfegZHCXAX8PduzdxrGcA85fX8zwJsLxPivhaFzBfQJAtqFB0leBIKM0uWoNJ+mmunGpMytevF2xAPiG3kMovXW/gWkDbIuuzCjmFhNmS1bRZRxBeQ5DVVoMVBOAVKJ5ahdJpq1Fcrl9DWIvXclfj52+uxP8m0P4yezV+l7cev8umJq3Gi3lVGF8hcN3C12sLimdvRP4MjjeT852lSPJaZJVVIaeCc6RyWX49ZwVembwEbxCWp0zfiMnl6zGpdB1K+FpPXbsdldXbMUN7tRsPY/3209h6fJTPBcIq318GmxaxdWjV80PPC4Fs5ym28X2YPC/SbfhcMEWYpTpZL5jtpK35CL46rI+eUy4DP6YRWg0UCbQelXWp3YAysQl2KqdBZbtEAOsgAHYqbzaUAJTg5kDKvqFsdUqtXiLAKU3rZ7Cc9HVgdHgN7ZaG8TWvULbUyj5nzc3mLzvrp5TXIEhlU4RZzUv5UPb5Ck4py1OC0HSYJYx6BDeAq4G5xPFY1rVpD4Cr9gi6Jo0TYDbZmkD9Q8PsF19iPqH1551fhYp4/AWXOgmvC5+g+wuVMzCbOf4nHY+we+Y4ZK3tw2Py6de3uzDzjSxUn039cTeyKQvjZrZi7CPWffsYYy0zMS6rFiPfqp39KyvRJbh93IdqrntDVv8YR5cuxtH3lf/7HD8KsxadlWyBiBEPLRxcaFifREesLl1qT7cT1Hpfl4Ay1LHdv2EsXQ+poDUFrgasrI9wm4Au+xvUGqzSD+scZgmr0ZfKBFdBeYRbbVlQ1FVfgukgsOrLLxZV0r7Ys7ewie0L9w0hb8shvLikk/Bai3/LW4dfFq7H78tr8IfKBvy2tBa/LibMEl7/n8mr8POcKrxQtA6vVWzGOMLMG1NrMZnAlzu7iSBai3GElZxZtYTVrSha2ICKt5pQtqiJcFGPccVr8SpBWOCpSGsFwbl4UQty527FlBmC1zZMW6mf6WpD0bwmAuVWFBJwx5XX4qWyevyxpAG/ya/F7wq24MXSOrxCsH2jopWQQpCeSXgmdI6fugWvE8RfKdmE3+dv4Fzr8CYBdfKMOkwi4E6Z2YiJBOA3CMOTeH6TptXjdZ7rhPJ65BNiKwjZ0whx2jdaOIMwNK8RFQubUbawHSVvtWPq0jZs29uD2ub99gWrxas7sbZ+P6YSdN/Mr0ZWSTU2NezE6IVR7N55GDMX1mD+ilY0dR1GY8s+7D5wEksIR/rS0rQl29G8qwfdA2fRtZswSSDW9oId9H+0Zxh9Q2M4Pcz7Ylsf6lt60dLRj6O959B39hzGLp3H24LUm6N4dGuEcH0C6zinbQdPse9ZHOkeRPepQfQTlvcf6MWpU+dx/txFDJ0dw9EjQ9ixoxu1W3bR70Gs2rwL85a14K1V7WjqPILWnd2E2L2Ytnwb5lfvxKbmg2jafgwNXUcxm3Y5UzcY8BXMquM1qkP+1E3IKV9H+FyF7JKVBFkCbck6TNbH/1MIl3nVyCWE5pWvsX2yhQTFgpI1FpXVl8ByS6oItFX2SwcFbM9l32wC76SilcgpW4WS6WtRPmOt7Zkt4h9HWaUb8AeDWGkN/sA/UP6YvQG/nbAGv+E9+ifC8JvTN/PeWMc/WNbxNV5PUK3G64TniQTn3PJVKJy6kiBNUK6sQlbRUkwqWYbXC5ZiXN5SvJlHsM1ZhAnFy5FVuZrnugpvFixjeRlyp6/GvI1dqDt+ju83Phfs/aS9t8o7uHoElwpfZrLnQ/IcIHyF54cBW4DZ9gHZONxG0HW4FczSjvadlMBWIG39We97Zt2ngDbuoU0ANkBgArKSQI0g5iBIWDNwc+BrCzDnebZZ/xTkJTaCv1BnEBns1GY28hf7KtVcZJfYamyel+YhP2l2Ugelsdt17qpTu/xaP56fyX34OCEvmzCGycbUPB2qLS/wNLFMpfbH+vkolQ8BfoelFNt1nTRfv14xZT+DWPf1Dw+z732BbEVl96ciSslx4wusan+K4ccqfA/MPmDfhZ/jt6z77NtvsG8921c+xd3QbMcHX6DomQhv5sgc/wTHgy6UjFuB7rTb/UZLPsYtOEoc1TGCDW+Mw4ZzVvDjy26sGFeJ3RaEHUL1OAKsNTjYqv7x4XkoablhtX+v40e2GejBr4UmRE248FhUg6lFY7koGaiGdvu4UDJbSgtLItkINrVoaXHxL1loDJUdeunPvlnsEVuLvgZINZgNoGpi2SO+AWIDqPqWCO3Bu24SbFuqSGyIxsatBR0E107CrNQ+dBt1tFt1+CKmdvZi/Nrd+B0h85cVG/Gb8i34fZkinpvxx+IN+L2AtmgDoZEq24jfFq3Ff2QTZFk/vrKGgLCZqsGUyk3II9BkT6vDa4SQ16kpU2sIrPUoJJDmE2yzpq4jxK7GC+w/geCYM72JIjzOabQvWU0h3Cqyqz2nJfNbqWaDSX1k/0bZFvypsAZ/LKzFb3M34VdZG/FiMeunNtse3PEVW1BIP3kE0UkzmgjWDXizcosB8CtlNXhZe3XLNhBKNiB/dj2yZjWxD8G7giBbTtAt3YxXeL5vlnLOM+oxjXA97a1OFBLQS2dtwbyV7XhrzXaCZxeKF7ZhxrJ2rNq0HYtWt6F8LtuXtxBW2wh2zZhSVocJBWuwekMrBgb6sWoNYXz6JpQTyktn16FiXg2qarZjPgE4Z2aL/de3iwiNS9bvQuWCJswkSM9d0YFFa3bhrXU7sLnlGJp392JL53Es37QfM5fswaa2AdR3sa79ALq7z2BsVD+5dQVjYxcIwsfYfgR1206gbc8pHD81ip37hrGh8Tg2NB3Dyg270Ewo3XtsCFtajxNet2Hluv2YsbADZfxjYF39Xpw6fwF9I1yUtx3nOW7DAp572bw6FM+u4TWpwRuExwllm/jHwxbkVW60LQZZvH45vMYF+pWCyrXIJ6TqZ7gmE+7HZREEc6uQS5jMIUhmF68kuFYjn9BfWKaIbRWmFBAwCZoFLAtoc6hsQu3EwpUE15X0uQql06tRNmMdr+c625v7su6nwmr8nqD8u9w1eDFrPf4waQ1+SZj9RfZK/sGzCn8oqOIfNCt57+i+XYkX8pbj1bxl5rOIMFtauQIlAtppnFfZMo65EpMJtPkE25yCtzjn5Ry3CiW0yy9dgez85QTyVfxDrQ4runrQqF9C4fvJ3quCVcGsnglMfc8tywZneu+H97+lglKCEsudBrN81giGLaVCpFZbDxxqHWQ76UcSzFq01iT/hKoAgZYX3MXyM3kHQ4vGGgASzlQvKBOEqs6ALSgAXAp008U6G8v7GXiyLirWKU2HSrNnP42rrQ0CRdkpwmvXyeaodgKk2pP5ugxan4/MahyBrM3Xx3d4TQPoKAFrAq3ez0FWeYnzYHu7KQWyHYRVSwPg2rUJ8nFDSrt/aJjFNziy0SOwqwa/xlcWPfq+4zmY/fxLrFr2OX629gu8Hfp81ffE9ts23fKyjg+Pq+4J9n0QKjJH5vhnOM5yrUpgNByqy6rFWCh+53i0G5UJAD8fmV2BvvcJu/ns/4Pvsb/u+GGY1YITFPe8eTQgLBasc1BlHcvPwKzVM/89aYzO2s/OqKxU/e0h7HDrMEsb+ov7bA1aDWBlE+ZlaQDcCLOUYNuAW6miQwazN8L/eqSIETV4Cy2Dt7G59zrmEWyytxzFi4s78GvCy3+Ub8J/EFh/WbgRf9A+1FKCI+HvJcKJ/gvSF4vW43XC7OulG/EyAeaVkvWYpMjYtE2E0Y3I0UfNU7UncRPe0M8lCUAIjRPL9Y3zjaxbjxemECwmLsML+mKO/hvTqVswhaCZReCdULqJ/uqQO6cJeXMbUTC/yYA2Z2YTpkwjdBI2XynkfKgXCbS/z+E8czYQVBvwRnk93ijZjAICqiKnOTO3YhyB9E3C8usEc+lltr9atAmTK2pQNLMWJXPqMWl6HV4nII8rqHUV1ZjNFMJ40ZwGTF3UTJhtQfm8esxY1Ih5BNU5ywirMxRlbsGMJc2omFtLu3ra16BsQT1BbwtyCfQ5U+sxjuA2fdFGdOzcSxheQ8DVOTdgMq/1eEKVgHDakjYs5h8Sc1fuIOi2YEIx55BFwNMXlQjIOQTfAs4lf1oDIbiRYxKwOYfC2a14a8NJVNX3YhZhesnaDrR2Hsao/hveG9fQc/osFq/fjYolnVhcsxdbd51BTUcvVm49iiV1B1HJuc9Y3IQ1TQewcN0uzFpOsF61h3NqQgmvY922gzh6Zhgte45j8ZpOTFsg+3bbF1swYxOvXy3ntBG5fO3zCemKtGYXrcSUwjW2H7a4cg1KZxBIK1azbpV9mWs8X3eleSWraLOS8LqckKg84bW82qKyOWybUrAc2bbVYBVhcjXheDWyFOUtoT3hsmz6apRP0x7b1fZzXeMJvK8Vr8GfclbhtxNXEmSr8cfsdfhV9mr8+5Tl+GXOSvyewPvb/Cr8Om8V/zhbjT8SbF/MXY7JhNYCAmzp9JUoE9BOXY4CAnNhBQF3WhXKpq1EcdlSQvQylgW9SlegkCCbTyAvnV+DZZ0nHGZP8z0noOV7UFuE7P2q9y7zLQRS7Y+1XzWwer5v+V72/zmK4NN7FV2E2K6B6+gaum5gKwliPWKr97WiswLbALT9gmB/FulZY7Bnz5goQhXhzuBSZYFeBL4ggaLlBW5pciClui8R2KQUzEW4c8h1YGw7rT6et74hr76ed3uNJZB08PV+HQarY+ikzN4AVqCYAlwrBzvzZXVKec60S4BWvoNsXom8X2xLIPbURW/vuWjnYlsGwvm5rfJe9vPnfHVNqE6WJb8mFOvc1u3/8WGWx+dfYUdt+PLXws/x2uan2DHyPNimwey3zK99FmTt0JYF9v/T7rhlIYDy+i/wYajJHJnjn+K40Yr85yKz6P8ewE2OJ+hePg5ZdSnUfXKtFfOSPbNjbM9H7cXQ+Hc8fjQy65EUKSwSWnysXouQpHo+NClbaIJNlH98x7wke6YCXgGp9WfZv6ghW5b1EGaqRc5+MJxt2me7NdTJxlMujpQvglQSfRXAKoIjmNVidw2dXBA72OYfeeoLXlxgB25hIxfbuTsHMWXjfvx6XhN+VrIB/1fWSvx73mr8vGAtfqn9hgWC1414gfmXCtZjXBmBsXQdJhBKcwgv2YTXyYTW8QSWSfo4WXskZxIkp1MzNiOrnABL4J08jSDJ9LWCarxetBav5q7GnzjWC9kr8XrJGvqqIcgSgqnsCu+TNa0e2TMakUW4ziLQvkm4HUewfq2kDq8WbMJrBM0JFVsIttqmsAWvFRKcSwit+k1SwmrFgkYUz6kzMP5j9hq8lE8AL6vHm5WKFG+2iPGMJVsxc1ETKuY18jxqMI71L+fSdz79FOl3UmtRSNAtIUhWzK/DtMWNBNoGzFjQgFnsK4AtZXs5y+ULthBiCXWzeE0qea0IS2/ov2qtWE8obLTfSa1YUIPNDdsJTGtYvxGTKgjvPPfx9qWoNbTbgrkr2jF7eatFPcfzXF7M4vUqXEtAI6QVrbbzyeJ5CyQLCbkl8+ttH2jhwgZC/1Zk85yzOF75glas2LgLbTuPYffRHizVT5YtaEP5sg7MWrUTs6sIrQTnylXbCcn8AyBvLcoIysVzeN3mNROa65BP5c3chDkrGrCgmtBOGM+fuZGvby2KZ9URqGtRRJgtIsQWzFiPkpkbUDx9LYqm8lwqCKrFK1BAlVZWo2zmWuQRCifmL8XkwhXUcoLtCuSyvYgwWKAIpyKfBNsiwelU/YYs64qWI6dwmbUXE1iLK6oJm+sImSuRX74MJYTPMtqWVqwhfPJaUzn8w2kCr+lLvMde5D32Qm41fpW1Cj+bsBy/yl2F3xGyf8d78des/w3vxRfyqvBi3kr+EbMckwTV5ZrXUmQVLrE55BOeSyqrUDq1iuNzLuWLDXSLy5YRYpdyHpwj514ydz0Wbz2ALcf0xTC9l/0PSu2JTd9bL5D1j/4VSdX79Qa2nLyEJe29WFB/FCuZrt01gNrD58yua/Aatgtu6cPe1wJae587zOoZ1Blkzx4+MxKpHOsIeBFyPSVkCQQDFCZgm0CfSwAa4TWCbIRTA06lZkMJBM1n6Md8OpxG6FNZ7TYG8zaOfKfZd6o/52iRZ9Un46bsVNZ4yfYDKtlWYHNI+bZUAGrnoboQhWVdK+fdJpgNaWyXYl2E3ARomXYKZpnv5B8i5ld/jAQbtdsfAKzr/GeAWTv+gq8efIV9e5+gaAkBlGD7sxVPcOSBj50Os/1NTJc8Qf/noSk5wj7bJU9xScXHX/D5+Tnm9/3ZWjNH5vjnOe6itSRtz+yDbqzIIZgWtuK7mwSeYKSuBBNm7sajH4i6PiEIl2wawaPeauTrC2MTKtE4+iS0/m3HD8KsAaiAUSkXCftoLy4MWkBsEaH0ELVFRODqchumEYLNF/OKFtDO4ZWpiQ9Tlg10TfIRwDWRIj2et//mUf0V0bHFTSDLRVKLpckXTi182yTC7LYzFEF2x5D+O8+bqD46gpy6Q/j1zBr8W/Fq/CxrBX5OiP0NF/k/lBFii9fit3lr8EK+VE0YWINXixVhXY/xpWsJYeuQM30DwUZbAwifBNJswmzhjBpqM/L00f0MfamG4EVIHF8moFyN309aiVcIE68SnCZwnPGlawiMhBz20T7U/On0VykIVkR3AyFuM14v34zXOO6L+WvxCoF0HAH7lZy1eL1wA/1vQe50RTdrOAfCIftO0laHMsHxZgKjfnd0LV4uWMc5EA5LCcW0m0Bw19xnvdWKaYLeWTWc/3oDxYkltZxDA/IIz7alYN4WAt5mTF24BbOXNaFyXi3Kab9oZRveWtWJsrkNhMrNhFiNy3GKqwjDy/HiJGryKmRP34TC6VvoeyNyCYbzVm5F2UJBLKGXICsQHV+6AZP1cTz/CKhYUI/Kt+pROr+W50fAVgQ6pxovTlmJl7Or6aeGgFmHMm1R0NYLgnT+bI5ByNSXzLKmaUtFB7IqmRZzrrObsGB1B+at343iRZ0oXNCMYm3dmNOMwrlbkUd4zZlRjyn8gyCX55/L66bXomjuJrZxTvRdNH2NgWgB08LZnLNeZ77GJYTKYtYVEc61jaCYUFs0jVA7fT3KZhBqK1YRAFehUlsBKEU45UdR2Jwi+iurQiFhsbBsue1TzWcqKCyuXMUyYdXqV1l7qX38vxLlhMqKGXwgKEo6VdHTVVZXOZUwPm0dQXetQXUu79HJJdUU/wAo1h8za/B7+4WDKt7Pq/AHwq3+e92fv7Ecv528Ai/krMBreSv4Glbxui3H+KyFeGPKAkzIXojx2YswOZ+gLQDPX0jIXUiIXY48Kp/wXUiQzi1aZhBcumAz5m7YiSUNR7Buex9qD54l2F4In5AoQsv3eHiW6P0p8Fq/bwhla3dhHP9IeEM/Ycb3QdZsvq4LmzC3di/W7z0D/Qbqdr6Hu+hHf6zafn17rysqq188IMzy2eBRWkVrHW47FLFl2ezYHiEwwmyMcBoYBgBNB9EIdA6qglGXQR4Br90g70KwuUioS9mrLeYNTgmU3p/jKS+YNjuX6rtkJ2le7O+QrPl5KsCNMCwb+evo9XFMNudwPkwdxmOZtgFCLXIa+zwjAWua0ur9fOUjzCGm9NVFv5Kdfxr0WtRWYts/B8ymHwLbLzF/GcF0GcHUFugAs4q8Vj/Bb207QQTdtOPiU/ycbesu/gWfnXyS9gWyzJE5/smO97tRXTjBf6lgWi26Oxen7ZlNHY92zcQ4fcHrh9j0yRCqK9n+mOmEFeimg6/vdqGypPXZ/eV/5fGjMBu/MWx70aiuWI4gy8VCkOoA66Aa96nFstsF2z62cXGJURkDWbMNNswnvjmew66DrW1NkLhwtZzRPjzfWqAFLV3aW9euaOyg75GV9J8kNHDx23D8EuZt68X4FR34JWHk37io/wf1y1yCbMEa/K6IMEug/b0glhD4IgH2xZK1eJUwqa0AU6bqG93r8HpRFaFqNbIJMPoW+JSyNcifuoEASCjTj9MTUgtmEYymEi6LFelchz9NWYVX8lZhnGm1/RelrxOkx5etNbBTtC+H8DapbCPGFxKcizbiNQLta4TPVxXNpf1rBBFFMRXlnEwALNRPXnEM5bMIg1OYH0+YfYOw+gbtJpVvoP/1mEjIHU/gHU+4e5N9swi5xXNqUUpp7+okwo7+N6os2uVOr0P+NALsrDpUzG9AEc+jiDA7a6lAlsBXsRblc2v4gG/GjLcIlHPr2KeGwLQefxy/HC9PXoyXs5ZiHOebTbgrmSfAJ7jyvAT35YTVEvormK0obq19Ea5wdj0BWkDKOdFfJW1KCY35un4lBNocvg68+V8jjE2p4B8LvF4lcwSc9cidQ/9zCLKEuGxey9zKLfzjgJA7pw055Q3IKq2jPYF7RjNyBbplW3itCNa81nnaJkCoLyKc5hNiC8o3MuV1nboORTMJqXM32utYwNe5hNBaRkgsI3xrbsX8I6SgfBVKZqwmxFYRVgmSM9Yb1BZUVNleVu0rFcyWT1uFYkKpgLXAIFVfsFpFKF1DQCWsli4lsFIVhNfy5bZftZzwWk5gLSHAVkxfhamzqjB9djWmzVyNSo5ZLt/TCbiCXI4hP4qelnBcAXa+tipQ+k3avMr1vCfX8Q+VtXijYDXeLFyJ1wtW4WUC7AuTluFlQuwr+St4X67gfbAKk5h/M2sRxk2ej9cJtW/mLsP4nKWYmLMYk3LmY3LBAkwpfAvZxUuQVezR5WJCrX5hYQpBeErpSv4RR3ifr4h5I2at34OlrfyLvuskqnadxvr9g9hyZBi1h89jYcMxTJxdZ/t2X8hezvt8FefI90juSt7vhOupPBf+ITVn4y5sOXSW4DhGCL7KP1D1yYs/jwStXWkA28U6wa2Bqur0XLFnWKhLRNgS6KXBoYFs3CYgGcB5pFKgJpAzsA31DnmCWdkIZt02idSqTnkrhzYqBYkBMtmuOQhmu/hHf9InyCA2zNegN8hgVmMwtT5Wx/NkaudGmX+Vo+wcOHfae9uzEowqwmxRZtUZmDIfz13QqnFYVhrh1mBW/YNkazYBaP+RYfazkadpX/J69oh7YNfZJ6cBZjd+gQ+//QsubXPQHf5OdPYrNK3QryN8iX0bP8fP0r8wljkyxz/t4dsIZh589o3yuL8aWQTZvu95//ihXz0oQXU/SVd7ait3w3+kK/0LYn/b8YMwq4d/arFQVEPRD4faFHhStmgEILVILGVl6vnIrOqi2Gbwm67gJ0ZnLULLcozK2seTZwixibRl4AYaBq5h3YkLWLV/ACsPDGDpvkEs3jOABdtPY3bbSUxvOobi2kOYuLILfyS8/AcXzJ8Ttn5VuB6/LliP3+StoQi0eSvxOy7wfyDgvlRcjZcIqS8UV+Fl6o0SgecajCfETiglzJZUYQpBIWfaOgLUeopQSsCZUFiFiUUEiOmEy7J1eDOvGm8SjicKQgm6Ewur8QYX6jcItRPob7L+D/4KAib7TiZ4vkGoHqc+FgEWjBJMCYpv6GN79skqX29fMComhFYSrIqnb8ZE7cklQI9XJJZg+xrHep1gPpEAM6VCWyE2400C3ET6yqV90azNKJ69ibC4hjCs/+t/NSbRRxaBLt9+VqoGFQsIlYvqUDiLQEp4rVxUj2ye75RyQtTsjahgXbH+21ZFngs34NXsarw8heemrRT5KznuWhTTpsxgVvtJN7M/x+e1KpghmNZ+3U0oVaSXYKqfscrlHwv6Tdpi7UNlW4l+r5Xzn5hPmJ9YRajitRK0lxHUphFyOLccSjBbRJ85vN76tn/hNIL4nK30QxifUU+fYT8y9Qb/cJlcom/uC/IUUSX88RoU8brafyervaflhE6CZNGsdYTddSjmWOUz16OS+fLZ61Axcy2mMj911lqUESwFreWEzJKpVRZ91ZeoymdWoXL2GoJoNcoImgWlywm/yzkeoZYqY58K9bWIqyKvywijBNnyZaggnE6nv2kzFNVdhRlzqjFz3hrMmLuWIKsvXi0nHFOyn8bytNWc93LOmzDMeQuYBdTaf1s8ja8Dr22Rrjtfk2zex1mluo94nxav5B8yK3nNVvEeYJmQq+0PefbLC0swMe8tjM9bjCz2maIvnRUQXvPnE3bnIbdkMbWU8LqE9gTxUm0/8G0HeSXLLGo7pWg5YVi/dlDNP2x4j/MPhOwFfL2WNqJydTsqqtoxma/3nybzjyDC8riClXz/cGzOKYdzmEJIzuEfDLk8xzxeq9nVLVhavwdb9vVjG/8wtn20/APbIrFnCIB6HlECWYNZ2uiP4yRqa2IdJTB0MR8A0eGPECZojAoA6hHRAHkCQclg71kZ7BnMhTqL2oa84FH+o8zWYdP69oaxgg+bV5p9nLMgdhvbtlPbaNcVJRv1o+IcY/Q4gqy1RygNtunnFcsG5SbZez/Pex+NF+He6oIiADsEs38A2S62/UNHZkMk9fu2AsQvb7U/UCltz6yOb7/COn0BrO5LfOY1yXF3L+2WEGhDhDZzZI5/3uNrPHn3BroJpBPyG5/58taTswTZN2Zit70/fuB4sBszV3UThXl8m4rM6tcSfvLIrADVIDaKMGkwG6V2LR5aNJg3uGU+wmoE3VgvG+/nfa2OC02EWCl+GczAV2Le99j6F0js1xX08eLAdbRR9Syv0P/G1XIc45Z14CX9zNWiFrxGvTK/EX8iQP1p6ga8SPh7oXwjfkfI+3XOKvxqyir76aLfEmh/X7QaL5RW4/eFq/CbnOX4jT5yzV6JlwmPf+Li+kL+CrxStIpASZgt4oKvj20JQ+MLVxAEVhCsqpBFaMipWIMcAu142uqj3VxCrqDpzdzlBALtkdTHtxR9TKLvrOI1yGKfLIvs6v/fF1CuwZuE0Akla5FDWM3RR/Haj1tM4OQ8swic+h3TPEKJ/rvTcu3XZFlbHLKo8YTXl+j7lQLCNvtNpCaUsW/lBoLxRmQLgmdvRgUBspRpMQGjmJCWR6DLIdjpo2mBctHMzSifT8hcWEuYJQRNX4eSeZttvnkEYO15zamoJqCvMXh9JbsKr+YItgnQBO98wejsDaictwnlc+mPPgo5Zh5fj7xp7q+UAFpJ0J22YAvBU+C60cA1W8Bt0dGNKOU8Sgg7Kk8p4XmWEUqZTiwidCn6R1CbwuuQp4/3OWY+/zAoJgRXzKklSNaibNYW+2WFigUNBOsGQm0d+3Pu+jIVgTK3TPtOFS2tJgzqf93S/6ylLzpp/6lAUHtdCbKKhM5Yi+mzCbGzCakzVmL6LEVJ2W5R1xWmvGJ99L6MgLuCwCvAJbDqd2AJZnlFSwnLHEuybQMrMI0+Kgin5dOWm0qnLkVpxVKLvs6cXY1K2pRTldNXEp6rCLhr2U5QJUDmFr5FcFxGEOfrUVmFXEFk2RLkl7GugnPieRRVcmyeRwnPR1sQyni9tJ9X9gWE7NypBPqK1SzzfiX8ZvN66EtlheW+Hze3bCmvvfbEElTpt1D5skUcZyGKKpawbglyihcjp2ARCkuWoKSCQC6VL+HYBFvONZvvh5xi/Ze9yzGRMDyBdhNKCLq8Drm8vpP0HuH9+mae/nczjikQJhwril1IWC8itBvw6xrNWY3pS2owr7oTdQcH+Izgs6RfW430CQ2fJ7aHVs8lPa/0/PJnlMGtwFDgKsA1oCVkMe2S2GZRzmAjcBR0dhpcSspTEfokwVqAtgirglGDvvS2NLgzmLW+3t8isTau7NU/jhNkZUGot3vZoXWbxHpLQ94BMwWkybysv49t7QRslyBT9rK54NL8Ql0E1i4DUtW7X7PpvhD6ep3BrGxY71FcivkO1vk2g4v/2DCLP2O4mfBJ8LT/NGHkK1wa+RJH9j7BnxYSVmu/DF/eeg5mddx6itfY7zs/uxV+jivZO5s5Msc/5aHo6TiMm1SCeQ19eP+Z21y/VsA2tT+vtT8cb338/+aeWVsMtChIhEptMdBHeVosDFj10DcgDVLeIiFjAWj5kI719PUdmLWFw+s9GqsILGFW8MpU0ViDXLVxbO3f1W9UKhJb33cdS3YPI2v1frw6vw0vzGjAHyu34JWZjXh1ZgP+ULqJgLoef9RPEOWsxIsFa/AS4fEPhK2XCHf62aLf6lvdWUtYT3AlTP6JAPr7XH0pawXG5XOBJXS+xrZxpQRQRV4JV7kV6w1UX89bSnBbQnBdRrtlmEDlEAizCXsT9Zui5YQjQmJ2GcG2eBkmaa+hImAsZxN+pxBqswi32SUUbfVj9RMMjgXLBBMCuPbc5gpCC6u5yOvb7Wvsyz2CtQICcHah/xeoeYSwbP2oPcF1vPZG5q3EqzzvyQLAig2YTEDN5vzzOf+iaRsxbV4dpi+sR6WirQJNAlJOOQGPQK9v4duXmQic+QQfj9wSfAhkpXM2oHxBLfIJotmE7gmE5tf4h8G4PIKI5scxtF90GsFx6vzNqJyzHpWzCFBU8SzCt7YWzFL0leMQrirmbsJMwvIMQbM+nte+S/rV79FqPpqD5lI6nWMSxPPKCat8jbNLBbMreN1WYYpFFPUN/w32nwbk8jqU8ZwE0KUzNxDcNhBIN2EG/7iZurCRAN/AOdbwDwH9RwZVhKXVHFfRVMIoQa6YgKUvOem/is0v53lrz6sin5WCqSrMmLPGoqRTBbOKvBIUy+ijSHtHCWFZ+YuRy9dbYFs2XZDrEcs83R9FSzAlbyGyCxaigOBZXL4clfQhSK2YRvidLqBdynQZQXkVZhCaK6YSjOlDcFisPgTi/MIlyKNyChcjq4DjEepzCIcGlSVvEaZpx/nantrKFYRKSb8dq+0OBHPt+9VrOn01/3Dh/ViywiK1up7ZZQRyli2yy37ZBNMcAq327pawziPCi01lnFthKcfU/llCahntKqYuN1USPH1Pr/YME9Y5VhGBWABfSPifrP21xZyn/hAgqOo+038GkUs/JQRp7Q22yDPHF8zrWkyftRIz567BqnWdWLS6E8vr9tqWA99Dq/24fK6En+9ygNXzh2Jq+Qiq8bnEvMNtgN1YlgiH6ZHQBDID3BrQ2T7VAG0qq/50bBc8EuRok2xBIOw54AZoDHYGgsGvRTNlG/uYQl0YX+pKIrQCTofOqOjPzsH6p88xjC2QlR3rLX2uTam3O/AKUqMSmDdQHU18tZ9U2aVotO0jNriVH+/zjw2zOsJ/Z1tFeBWEUj9b8gRLjn+Fz5JI1PfALP6Ct/eH6O2d9G++fI12+kr9qkHmyByZ46c6fhhm+YDXNoPUlykcZB1mBaxcGPjgjyBrdSozb1sTZMey2TFvC4wWHMEr5XArHw6zvvXAtyrEPbUGuQLZ/mu297VBkdh9QyjYsBd/mFaHX+i/gyXIvFhJeK2ox6vTm/Aq8+MIP+MIcq8SjF4l5Iwj5L1eXI1XCH8GswSxX01agj9mL8NrhaswoXwdJhIK3yTU6uN6AdUUQlKW/jckQl3edMKdII7lyUUr7Ufrp5SsRBYBYCJBwr4BzjZblAkDuYIgwlyJvgREEMxT1KuUoKAIWtlqTMwnAOcSfuhHexrzyzkOIdi+3c72fMKqPgafQAh+g3OcRLjO47zyBHxT19E/Adg+jqVv9s2lJpaswusEXEV2tTdyCmF2srYx8JzsXAjlmk8FobRi9gb7bVL9XJSARh8xZ8m/fh+VoCcoFNjq908VwSyZuQZTF9SgdN5m21oxkddsPKF5fC6BhxBdOGMDIXYT5iyqxSyqYjbhlZBSQNDSN/P1UXehbcfg9VEkm9etaHo1phM6Z83bRDDieLxuUwiCWYRCgVUB7bV1oJhS1LZoOmF4ag37ryPsEp55vRVhzeG8c0vWc776Jv8GQvQmVM7ebPtbNWYxIb5ybj2mz9+Cstk1Fq0tpT87f86hSNFZwlVh8QqU81y1v1XgNznvLUwmeNpH6GXLaLcMFTNXEkBXET61j1W/IFBFCOZrw/5TcmlP6aP4vOIl7LPEoomF+uidPnILF2H8pNmYmDWHZcGgxtO2gsX0Q4irdJVOXcI5LOEYBFmWy6YS+soIkKUOtNqGIMjLLdJYiwixSy3aazDLMfQRv7YdaKtDQbnaXBaxFZTzjwnBqn4rNosQPpFgPKGA95iuvfa76ote+nif9pNKOOf8ubz/5hM+F9s5FRKYSyuXWiS5gDCbXbiAcL2IQL+I83yLc15K0F+JGYJ9Xsup03mtmOqnvsoF5zMIsLY1YoXBcRnhV/k8zidbfwwQ0As5L8FsEeet850xazVmz1/LPyRWY9bCDVhYtRUr6nai5dh5Qt01Pkeu+3PCfuXAn1MJxEbxWWRRWD3LDHID8LLOJUCMaVAawApC23sJa0mZYt5SySBQbUwN3gSksv8umJpP2ggyvd6V+Ah+Y94ixWpXmTYOoJ6mgNbrEigN8zQ7jpOKoMqHykwJmoqe+rhKRzkGAVV9oh/Zsr1LoBr6WRttJfU36DVoVRr8RZhW3vTPALN/5+OR/0cM7XdCOXNkjszxkx3/SWTW98wKUB1oHVw92uogaosDZeCqOua1HUHwGwE3AVprUyq7MS5AalPZIdd9u62khWnrqTFs4YNy5aFBVDYdwfjFzfgjoetX+nZ2/mq8RJh5kbD6IoHmVQLc64QwaRyBdBwh7zWC3GsFK/EGwfH1kiqMY/mFghX43eTFBFmCqaKaBNkcQRxBMV8QNV3wtYb5auQIRCmlUwg+E/KX4M3cJQazuZWESkUIufjLvlRRziIuygSDCsJsxez1Bkw5BNksQkc+YVb7EyfmLcUkwmxusYBDUSsCBqHTfnOUYJnNdDL9j89fSvBdTqhSBK3Kti0oEjlFvzXKMQV0+shf0JZVqm+uE16L12FSof/U1QTC7QRtaxAoc1xBdqH2HxJqBDP5UxWd0xYJjq09vwT9iQTqiQX6ljrPn2MZkM/gGIQ/bUV4k9fS9lny+upH/stmrSVAEjTmrcHseUznrkPlrDWEPoKzRUf1HwYIkAnY2jNcpC8ZLWV+Ba+NbNehnP6LeG30zXh9BK5tFDl8TfK1JUFRUl7nfG2D4BwVhRZs6xrpv3st4GtdqJ//UjSZ4xTyD5Mi/jFTPG0j505Qnqm9xbWY+1aN7XUt4h8mJdMI9NoLzNc3X1sDCgmcnJf2qmpPqkBKsDglf4H9JwEFpctQTigrn67IraK4BEOLIFYR8HhteT9MmLzANCXnLQIfAY3wpt9g1Re6CgizeYWE3Zz5yMpbYB/JC2TLCKVFxYJAAdxbDm+EQQGu4FBR2XLZEH6L9DE+28um0zcBMJ8gWcj24kqCeBn9016QrAhxMWG1UB/js0+etgjQh2BWdQLwAkVyCeC6JycVLbX77A3OeyLPY1LOMoI8QZd/SE0ipE4qmI/x2XM474W8RotRUMx50m+x7h8Cdm7JQl4rqngB/S5EafkiTCWIz5y5GtMtgk2wnVWFafpDgACsLRO6ljpPXc9y2haXc56cu0A8n3MymOW5FgmeOZ5+21Z/QEzla6OIdzn9VS7ciMW1O9F0ZITPlOv26yX+W7Tx2RGeI/GZQkWoNTGfwK7VObzaPtk+5vsCDBIKDfyCnikLOiXlA7RFYExgMA2ABXTRj+WjVDab0CfaxHwYw+A4jkElIMu6LrYZuAZ1pEGpwWiQg2mYo41PW0VYaW8wGyA1mX/wEfvGOlP0l0g+WZf4D30k2v9PgVn9tFf/4BdYpQivvigW6jNH5sgcP93xIzDrQOpbDRxADWgtH0QA3SagNRCNC4bK7KPtBMynw2xcWOxjPspgN/oyaNYXvS6jiarjw3DNobOY03wchWt2481FzXihcjP+RHB5qXwzXihejxeLVlvk9RWC1YuFq+y3Ml/Kl1bhZULcq4S4l7XnNWcpXstfZr+j+Tqh9mWmL7HOv8S12r4IM4W2Ocxr/2gBpWiq/svQKQRRQazaJhF4xmW9hXHZi1lHwKTNRMLrFNbrZ5pKZqwneAqElicwKzgbn7MYbxIWJtNOEKr9gznM55Vqj6L2FSrKqi/YCIRXWF6wZv8NarH22LJNcyVcTiLIajuCfAnyCvXlJUKe9nxqK0Ju2XqHxsJqQintCqvYl8DK+edwPP00VF6FIqrL7NxyywiRinRSUziPN7PfwoS8xYQZfdzsoKz/r38CgW983hK8lkWQp59CQmbpdH0xSj875R+VTyesTJuxwj6Gr9C37nn+gsfcsg08D85L+4H1JR++FjZ/XkPt6SydthplBFp9vF/AsbTdYBJf2ymct4Ewr6Feg8kEyMkE2Ml2XfgHBOdRyj4C02Je/7xy/iHA+2AKQb6ocgPnVsN2AjWBcnXVWixbuo5jVaN0xgbOeQPnz2sngC4kLBKiygiGOo8yQlYJ8xYJJfgVEvgcplYZUOYb0PnH5vrS05T8xZjM6zaF90U2r11+MWGPAKn/VECRRcGfAFbbC0p43bUXtoJt5YLREsKa2tmnxGCTkKvoK+G2gABcLBAmUAtoyxStpfRlMYFyBa9zOcFW+2wV1VU/+SjWdgGeTw7n7cDvcFvEtFJfeuN1y+YfFNm0ySLUTixYhtezFpvenML3yeSllh9PgJ1CqNeWhnz6KtD2hqyFyM5ZgFz+UacIdD5Bs1B7ZMvf4rkt4DkRaDl3RWFLKxfzPJcQbpdg2vRlmMa5V0zlda5gP563gF8R21KCsbZjaE+xvixXyvuzXNeujH8YEJILSxYxJfT//9j7D7jbrrrOH3/SsI2oKDrNMjP6U4fRGUWBkH5vbm5vz316O73XfXo/5ym3J7kpNyQkJKSR3FSQQCCkkYRAhNDsguOAUlRwRCC9fP/vz9rnSQLOdf46Zl4yPvv1Wq99zj57r77W9/39ru/aR5BP/efKByyWX7YifezI9R+wY/f9jt356B/aez/+R/bu32b+0Waw1bOzwgKnOq/OY4JXPt8h4BXEunlLlls+fxQIWw2CW0DSX7YnAGQvh5eB82XXAYCO+1bBchUoFVYBVM84i+/wWR9mdfYto6sg6T8/TMsBsZ+Owmpc7jfdL2h015Xey0HP6Zru8eP1P9/+EN+dpZUgkCWsgqwLQ7hdjc89R/wuXn5fjd99JtzO/bLIqtwOaoFZWXL1eTVu3fcvBWb/+n7/7Qc73vak/f7fecvB2rF2rB2vxvH3uBn8EZP90M1AE7+A01k0AFiu+RsnfHC9U/fyXaB6J7+/28HsKuDKSuLD620IFz8Arpz963wmHf3F7Dse/B1bvuMRq19/j2UuucMCy9fZXOdqm6kBseXLbdK71Gaql9u0d9Sm8kdsrnSRBQGeOQBmGhCczp9vUzn9q9bFFgDiAgBTABAMF474fq7cEwfgYgj4KL+lBKtDIE0NfQe1m1sbUVzQ8jGwo53f2uwVKVxgUU//V3+RJbg/jnAPZ/dbAsFeFYz1LgdCgbTmxVZfertV+1e4OAW/kdxhB8M5LbMLYLmuvw9NkJ5gIi5rrQJxpYqABnnKA62CM1lnZQnVprGYR975LhcEDzApa+mez+4fp8pAHiCYAOTjBSA6D2gDtHnqyKUHmMkqW+4AsACi/os/T7k8Z+W8iLTl26t3nR6xJOXP1nTPUQeeqo8kAJTQknz/bVbp6XVV8im9yL1Kqg6kdQCrxaWLrLd8sbWWLrHqou9vWwSKs+QplpUVUBY/0iWfJeq1RF0VaAcPqNX7XAX/Kcou4JUVV9bvMqBabPlW5CxQLp9jKQ2ygle6eucq5QHSszXKx29e4wog+SoXmv2rrF7dZx+48UJ7303XWEdWPeC3s/wO66xc6b9xQEvdcguQLygQ1RrotVnkH/hsULYa8cpCqiXzKiBWAixrAFxDllfuF9CVqT/53RbLgla5DgBz7t79ViitUMcHXF3JB1TxNIC8ogeoAcba0FUAGgt890r7yYueB3QrQKR3wPKFfcDtIUCVuAV2gKPbNAYwFoG9Qnkvvx0ijyqHbwVO0i/jqf2WRJHKA6Ly421QT3W5GgCM2tDlya1ACkp6P+NDby44bKH0IZuLH7CF5EGL5KXYkD/ilP+tILNE+ZSnAn1BVlT508qNodYkT03K2NgPwALXlL1cP0C+9rvrjdZBIJ4643qbepO/bYGy5iibrL6qU/kmVxyQozzIcgsMVxUn9SG47fRVZtX1IYtnVwDuJcbZ5Xb48tvtyps+ZO+657cdZAlS72SOec/H/xi4ZX4aQu0dzDdO2dZcNgRYBVli/bcXAIiEOxzIKgBpglOgcHUZ/6UggFwFUQVBHPc4kHvpXs4COt37imuvtLquLvGvAqLu8WF49bsPgvosFwAHsy6tYZ5c3ATg0c+XH4cDSM63PfLZYfDjWP3sA6t+5ywYHT63+vtL6X7X51UwvfUj3DfMk8un4nvoswAsnx8a5seVnXu4fsvDn/0XA7Nrx9qxdvzfP/5emL1dmykIEgKrgsAFfZcgcFZZgSzXHOjqHZA+7DorrCwfBFlg9cytEhpDAeKECPfpdVtXPfi7tv+Ohyxx4DoL9K60eSBkpnqZTRYvthlBae1y989bAtRZgnvLQO58mwPsZImdBJKmEcTzwOWcQuFCWwBs57IIZwDU+bgKYL3DwCBQCdSlgNocQt1ZVyvApCCVkOL5NMI/6R0ENA8Cn/J1PQrUArSCOkBUQUvl4dxeYHYFCDwAVAFmbS3la/nfj1uuCNqlHckjfBU36Tq/RL3xAKCLD6FU4JgEYNNAbY68ZL1Dzn/Q43lZa2NaxhaMAyZhbTwTcAOh8rctayd+/VLuJdQAvvpRwJf8Cbz1blDST3oAvPwiAVH57mpjk6yicnMoEMrUjV5JJReHIuWUVVh5iwLgAukEaSbJg5al80CjBxTp9VLa+FRvXQicKBy2DmEAcHQHgFOPeLsXWq1/MSAEPJEn7faXRTpDmwnUtXPdwRD50YYsQXa5Lb9i+c/qtU/8rqX8jvJHuuQzD2inlCeUliz1oH/KKnFPQaBOfAXid+4a1IfcFWqAayKascduatinPniVLS2db+3lKwHudwCycnO41DpAuZb8BbMdAFHWZflpChYFXwp1B4ucCXILqDW0FC5gA/TkSkBeSqSfLwOb3CNLqcAz5y1bOj+gPVecG4AgT0DmrI7AnKyyeW8/QLdk6eyiZXNLAPE+4tXy+iFnkRT06r46gFco7SUuwSvxUL8VgFFBwCf4LgHA2mQWSy1aMNa3SFIuAsqT7/pQ5VyT5VfWUNUZ/SKtvsm4kCIXLRyyQHqfhTIHLJ4/QD0D2MQpi3IF4K8A3yXiV57ThWVLEQqVZX4jzzVBKWUiP2Xqq8S5VFsBxMk/5VH9OugmH1ISVL5iifIRZ4Ey57y9fKY8wGqdtOrcX64TH3UmFwW1i/yItQEt53yGGZ88W6WdWosX295LrrWLb7zLrnzPh+26uz9qN937uN36wCcBq08DVp+xO4E//w0AnB/lrHkIiL0VeF0Nr1zuv+OjAkTgmM8OFIfBBzx99gH1pfsVANyXYHa41O4A10Gn4E/36veX03GW19XPw+CspkNQ9dPzIdK3tioNP73V+/3A74LHYdD97hl39gH3VmD1VsDSWWTdteGzq/crHZcW6bp7Xr7unh/mQzCsz7esXh/e6+Caz6sw6/+mNP/lWGbXjrVj7fi/f/xvNoANg4PPVYvGK665sx8Eu6uuBA5cgVj3H+W6Jmss152llu/HuH7dg5+1y97/uO099mHLXXi7zTWusIn8hYDrUQvWLrNg5VILASULgIt8WyMAYBCw0xsGglwPAGghYHYWqJkCZhcQyiFgIgRgRQAaWWHDAGIM6BT46U0CSQApVjwIPB4CzACPhqyjACUCPJzdZ7ECAlLAWUPAy2dSINE44m/QqgGxWpJVnNyXII4kMKIXyBcBiyrwVuoAaYBNGvBIlg9bJHPQgkktiQLIpCcYTCl9QSIhAjAkgNYEMJxCMGsnvP62VNY9bYTJCbwB2AT5i5A/5VFlSAuwHZAKEHmGcssPUv/CVAT2CsSRErwKZHOC0QucZVowLctrnrOsmgpl6qVK+WSd9aryAb3Et8xSzlBiv7PWZqjDnLPEHQbYASK3sedSH2IBsy4Q2+0e5HyQ79oEBIgJ+gCPRldL41oKB6aoS/3FqwA9I6gVtGvjEvVdamkHPnlpa+e9vyyud7bKLUAbnAT4Keoqqfqi7uK0uzYq6a0DesWWNpuVdKZuBLdyvaj0rwRmL7fk3C777B1x+8on3m6Xnk+e+2+zTv9y8qkl7cPAHfmVtbN9yPrAeL9/xLr984Hc863VEsQKFvcDWLIyCsZkeVSdA1PahEVIodTk1BcAWL22qupA7AD37HfW0zywpt8czFIvWn6va1MXgJsX6Mp6W95rZe6rKA5BHM9XawS+61oNICx4K/SNFcDxAPkV4AJzwGKZZwW8cmsoANSp7LLF0osEYLa431lXPeBRgK18CRjL5F/uD6Uqv9G2gkP1z0hmxUJAcJw45DcsiK3Tx5V+FWCtVkmPeGRxzhMqXBPsC85zedWDABcw1X11ylTT5+VXhH0Oxn0FgbpskD7lKQCznkCecVcgXdWb19jvXgVWpayt3oXubQ8qs+oyV9oHLFNPDe6l/M5iPaBvrrzN+gffYUtHbrSDVxyzi294r1128z32zt961K57/28TPmY3fODjduzDn/YBErD1/65VQAmIcc3BogNHPzi4G373YU/3rYLi8LMgjs+vBM3V5faX4nHP8tk9o2t8H/72UnjF/f53P41Xpqm0ZAV1aXG/0nHX9DvXVu9fhVoHsbK6uuc/6+J4CYaH97jg8jNMQ2H4XcHFtfr9FfG55xwgK16/rl5OdxjWYHbtWDvWjlfxOC7Mrvq2Oovs0OoqmHVheF1WV/9l5S9bcf3gw6wsstrEddOjf2BXP/AZewcAe8n7ftuWb3zQape931IrN1uoeZVNAVwzuSM2l7vIorVL3R8TpJqXWrqlfyu60KIAWARQE8yGOEdk8QRqo+WLLFA8bPPAns4h73yuXQjAXuAANlk6bNHCfksImoDWNEJbILsKs1n3Xcup+y1MSACRssRmgIwMMJtH2JeBFr3DU9CV4blU4QCQeMCy/J4tI2iBAvkvVruAJSCRBiQyAEqKNAWhaSAySz6yZS33+iGVB3D1d6GpFeLaz+8HgQxBBTAiC5g+c18OsFB6shbLfzGWk0sDQpw8ltvALPnKASqCKAGMvpf5TUAnC6ask9nSJaR9sXNnELjrrQEOeAW+1IGWnGta6qfeMuRVQa9N0kvz9d/8Zb1ZANhU/rSErU05WgLv9S+23gDoA/i63UPW6ewH/g5Yq72fOIGPpna9C/wIAK98UWst0lX9Dl0iZAmPZPcCUH7e9ZqmeucSnj3irJ1a2q4DzfqjAeUnTf3HcwcskkYJANDl0iGgTVHP8hEtEbdetaU3KMhCLd9YQaU3c6r98fvn7MnPXWnHrr7MWV2bpFUVTAqUgC1BV5V8t7qHgVlZZylT7zDQfogyAUlAVb1xgDJyrUe9tbXxSr6falP6AvAlyPQAMFkgWyqzgB7o8ir6+1e9m1V+pdrYdQDoB2qBOEGhIFaQqPgFujUgT3Bdd0v3fBd40tdKgF5JcXGucm8T+G62OKuuiUdW07J8bTnL4pkGsAWk8jH1KKsAsOSspHoeCKTcq3HK3SFT4H6BbGrRFpKAcH6fGwdlILgsMC0vk8e9AL7cCYDiKvmm/pq0cRfQbOvVXQJRB9zL5EP1ynPAZqkBsJcXubbkrin/gnApCVIiKpRBUFwR6JLPfHEvCswy/Reg9pbot9yL0qS3PdS53+P5gqzAUjRoH8Unt4U8oSgFAtDNkxePvJXoo7XFS23x8DW279Kbbe/Rm1w4csP77Jr3fdTedd+n7KYHPms3cb75/k/azQ9+ym596DMAooDvZSuqXrPl+64CagQHeoI4weEQ8HygG0KmA8WXYdG5CTzqw91LoMd3ffZB2IdLH0hfDj5IChx9eHTXecblT2c97+JQ2n7w3QWGwMlvfhg+z/n2h1U+uQW8HFaf+Y77h8HFqbK6/OjaZ14qu/ud+G5zgd8JvjXWT381rMHs2rF2rB2v1vG/scz+MWfgVDArcHVBPrKArLume3xr6y3a1CALrAPZ33fWV72t4PqHf88uvvNhG1xzl7Wvfr9lDrzLgq0rbd47avP5IxYGPAPZQxbMy3p4xBKygMriKJ/O1kWWBaCyQGIS8EwAVUlZUoEwWV0FruHS+TYH8C0AemFZloC0NKFAHIJVQWDCQ7BXZC0FXgkpWUiBowQCPwpIxQS4XMvIKiogAqQEKrIuypdSQjGrwP1Z0vK0GUbAKZDVBhz5LiLw9Z/1WcBB/46UI21nXSS/RWBVcOFeq0QQGAtiU4W9lnHWPKAR2BDYuOViBcGHoBKgVF71hgRZzRIARp6yuBf1Cy6JqyiLlmDJ+S5eDCzIYnmB5QTw1E8WZUDuDfrff4Gu/o2qQJzKm3uvJ89oyVnWV/lCurJRbucLKQilfIIIB1nAUpWgDT29/oWcDwF8B4CZg9YdHAT0+A0Q7AE3vf4RwEfvCr0QmNXrmWhX1y6XkJ+jFlcbAk/pgnbCC1SOcK82//i+nyqP/tFK70XV5rWkh3KSBeqztLOneqR8KDFqFy3va6NXDfit99/mNuN1lq80r1i19sIv259+aNqe+8Lb7NH3X29Ly0ccaDaoZ4FgU/BdXwY4tVxOO8lyCbRVWwAUcC6oFcS2uLcFSFWBuXx1hfpUvfv+rQJYgVixtATQrTiLbps0yvJpBe5kQazKcigIBSQ7AkDVDddq/Ka4Ox0f/mUplg9qC3hrU/eyispaWcwvu7rXUr6DWeVd4CwArpHnEvAImFZRwgTAufxeS/OMLJgCUrlFaOm+TvlcevJjJb2W2pn+lkUxCiZWbCGxZAupZbcCkSTo1VtFWYMry4QlV18t2rzpIP+g9YDF3iJ9ASVAUF4UiBYBUEDUA4DLAmhZj93zi9TFEnW8wrP7XF3Il7bVkX8yAE+d1rm3QR5lpc2VpfAt0vcH7nMO8JdiUORZAa7qVQqA6k1W8AJ1rzyVZRkmPa++xHjpW6bYR/FbcnF4pKO3P9T2HrWVy2+xS27+kF37/sfsqtsfsouue58dufFuu+LO++2mez8B5AGYD8vaCLA5d4Ah6AkKh2D7kvVx+Pkl4BTMuuBfu03g+lH/7N8L5OmsewWzLh2lIWgkPa771tPV737wIXn1Ga4JIJUu8TmY1n2CzVc+N/zNh1s9o/AZdxbU3ga867Mg9aX7dR/BB2b/s37TdR9QP+MHruksmPVdGPhOfO78imtrMLt2rB1rx6t1/D2W2aHF1fnDajew7yrgrLXOSrsKt8Arv7+LCfWGBz9jV93zcbvkzofs6LsfcRC7fO3dVtz3Tkv1LrdI46h7o0Awf8giWm4vHxpaSxGk9QstD/zpJe1pwaC+t7QB6EJ+0zL9IQenekF8GgCOE0eC52VN1aakqARvUcvWAlmATUvagl9ZMoG/POAmANLGIoGdwCiW328L6X0OaBV/RpZT+eBpSRxA0VKue00SECBYLfCbh2CvkUf3aiXASzvWtTNby7p6h6j8FVOy2Ooe/c0pZSjxXcup2uWvDUYFgEOvMyoSPIKWurW7Xf6YsqwJVvRbdgi7sgIXBZvkOUu9KR/6C1RZO1sCxTYwggD3Nw4JHrUxifpTXQrkeUZW5TzAoveeCvocZAPl2kWu10yV5UNJPQmq5Suq5dwGQOr+ZpW4ZcErAAMlwEjWN7fc3gE+OpQNsGn3ANrBIYAGkO2fb0uDixzQOjij/aqkWZafslw+5DPsHbE4Ckgs7fuTaie+/CJ7PDfQa5y0lC8Aoxzyoy0Cs4JXbYzTmxYUjyzIev+pXg+lNtDL9tuLb7OmfGEX32779l9pybk9dij1C/bF+0ftuT+/yP7s0++1oxdebIuLF7s6l0WxC0jV6nup90VAEKVAkFQFbGuAETAr66ygXRbJelNKg15FpaV03SerIDBGfcmqK5eEOqAlWGyqLaVoAIKyAJdqe6k7gBTgqgB5FYEb11vEKfeMpuIuLwGOfWfVlBtBh7ZtqW1Jq1JacQAr1wM9WwP66vJFpZ7KxFni2SrPCaIVKvShdG4RkJNVVNZXWVNJQ88Bw7IOq+wdbbaif3qMO42rQGqvBTUucgcsnpUCRxkEygB8FcivNWmvJnnnc5Oy9gT7KDBtwfjQgl0iH/k8AJrpUp6BA3wBpvKZL/Ut7/Wo30XKo7YnTll4ZbEGlBt8b1NOlUF1IJcLj3rLEl86O7BMgTPPZ0qLwKlgWe1CvdA+FdKv1WXx9S3QZaC5UCYf5KEIyMr9ocQ9BT6XiLdG+7eWgdrz32krR/RnIldYY+/l1rvgnXbpte+zq2/7sF1/18fs2P2fAuSG1tZh8K2UQyhVcFD3StjTNYBTEDu8zwGt7vsIsDcETgetAtOH/M+6322w4n5ngX10FSKH8MnnO3VdnwkOTPWcAFfPKE7d+8inHbDeMQwOXpUHzgqrMOuCrjsA5Zp7fgixwzRW4/A/++m4eFQGgrPCDgFWv2nTlzaEOUDWNcI/Z5j9kaun1sJaWAv/iPCFL3zhnyT8nx7HhVn9wYE2culNBbLEOtcCzrLI3vzw79m7PvxZe9dDv2PX3f8Zu+L9j9nhd91vB2/6kDWP3m5F/YXo+TeZt3yt+yvVWPki9xeWEQ9hKSsoQCjIzGgpH3hSkCVR/qkpgDKO8EzyWxLhmgTckgjhVGm/g029R1NwmtWyKFCYk0WJa/J7jReIsySrCyAKkBYbwC9Aoe96ubzcDeTPqk1H+kemFHmJeQctmt9rifwKAnIvQk5WL0HdAQTfMgCiZVJZ/SQoBS6HEL7y9yMNIKJIHrQhJ55atHh60ZIFgLbO/fKJBJbkmyg4FfzKgqdXDRWLgJCWpIfLy60uoKvNUkCFlpDl/yc/ykwOAc5ZvpmCQb2iSRtvtElGG2z0L0wtnmvyvHZ9l4AwvZvUvajevcuTOqC8eldqugiAUZ+qF/0bk1wa/H+TAtCpw9V3empjkuC41QNoCXrlkvKTA4ry+SUr03Zaztau9QpAUxGMdPa9BLO9wfnA6AU26AFJq8vz8qGlzvSKp6yH8gIwRdN7LZzooQD0nN+l/CdlnesNZNE9n/wDMh3qsAuYy4e2ehHlpt1K5wP46gO+G0KZ8rrlc/LfaAPQ+svZweU2WL7KDi9fZMmdb7Vr62+wL92/0575swP2xJ9/yO666VpgFoiljvqDS6wHRDdoZ6/Yt1JxYF6+b4V810FWq+UDW6t9gHwdQoFAmQE6S0BSzluyHO2tjU/Ossg9Na7XKbMssBVZEfW7rIFAXAHYLAPIeoVVBTAskE6ZOJS2QK4i8CL9fLHn4E3W15YsrwJknq8Bbm0+N2mjIs9l8ouuv8h3tUR8NdqjTV13ALsO9SmLrwAwme1bMt13G9Fcn6ZcL71lgHNTdU9f0R8zaPwEk0sWiC1ZOLkPhYO+ozcOqM+Sf+VR6dQanOvLpEGoc706oC8v8Z08uHanTeQ7K6DNAa850na+tMAsikIeEK1UZaFdpE4GgPIiYK7yURcoFi3y1VK9SikgnwJ3lTlfFJz3LZHrMNZ69IdFH0yZH0rUt8aXyq2yVWm3CnF5pCMrrXxrnVsJcasN6kP4LaIYKFRQvErUrd7f6xFaS5faMlC779Kb7KLr7rKrf+shO3bf43bHhz9tdzg3BG0q+x27U5Any6YAcAiVAlEHsIDhKuQ6QHWfBX+6X+Dow6Nb6hf48cwr7/GBkeu6d3iP0ly1lt6h64pLca9+fikIZv286ruDUZ5xVtth8KFX6XzapeU/Myyb0hp+dvEN43G/K57hZwezCvr8UiA/gls9Q1C+12B2LayF//fC/wpM/zHh//Q4Lsze+pE/YFL9Q7vl4T+wm4DWGwk3fPh37coPfsIOH3vQDt98nx2+6T5bvup91j5yqxV6V1lh79UWb+nvTQHFmnbq6w8GtCv6oKWq51sWYen+P15nAE0Q4pYMAUe9q1JQmyysWDS7ZJHckkUBgVhhGbDdi5Dd55aTBWd6SXxRAl2gxXNZ4Fabg2I5hC+CNylrJnHr7z0FvdrxrI1a+i3NZ22Gka9rFrjLctY/HKVIL0Na8h+skB/5A8q/r4SwlvCrI+hkoXQ7x0lTS+5a4swDkBlAWBuAUjktgwJFgjcgRJBTdLvPBQEIyQpCU585+8vbQIQEv3wQJUgVH/Aq30u3o50yKC+yvsntoOA2G2npWJt6tJFG1j4fYj3yq2VdLTE3lD8g3v1zFJ+1XF90UK/68y278qvUe1TlKiEw1m5y7ZSXL6T8MGsAT0kQAEDJSliSJRAwUL61HCxwKwMvghDBTbMN8AF6nd5BQPawLQG1va58OrlO2epAtPMXzqE4ZPdaJDWwaAZoBMIEFHVZ0wR1Wvom7oaeFdAC68UK+UMRcTAs/1Q+69VS+vco9w9ZtIus2x3gtKu3E/SP2mDxClsstSxx7i/Zrb032J/fu9me/vOePf/X77MvfPIeu+jgxdbvyecXeJYVmrRrpSUrZLuWTbcsnaxbnfK3GwAWANohj4tAtvyDZZ3Nej2Ul7Ylcz3qyAdYrwJYlbrUC2BGfFX1Idq7qCXyQpd6X3QQ7DZFAXSlEvBcGnDvMvUqiyJQBrDpfi3PC7h8l4QD1uZzCxjrUj9t9XvijWe6Fku2qdOugzbVf5u6awGUym+LtizTJ7LAZCJJXZDftKy+xNOg3/UA8Cb5rAOATRQcbcSSS0E4uWgzwbbNR3oWSi6b3uma0NsWAEm3dE/eq6Qn2G8Ibsm/rKyC2Sq/ORcG+fPK8imQ59kMSkum0GcMA6TUS5E+VaP/ymJbBEiLZcC+MuCZFVfWjiz/lKNGG1QUr0sDWAai1S9zxJUDlDNAcoq4E4kuY7BnaUEzZXZuDbSbXBuUV332iEPQLx9pWbadAiHApa5kNVeQAuHGrfo995bIi0deSv0j1jn/HXbBNe+2oze+36649V675v0fses+8Jhdf/djdgPnmwFdt7T+YR/mHNTKBQDQvAXAu0XQKDBdBU8FYNYBqQL3OCh8BLDk7CBxCJkONB0UDu/Xd90zPL8Uz+p9fH7p+xBqV4PA9daHPkXcnyINPnN26QwtuQoOZh8CZonLh/UhwK+GYby3cd1/Vnnx43bQq0A9vHz+9BrMroW18P9g+F+B6T8m/J8ex4XZK+/+tF1620fs4Ds/aEuXv9f2XvN+WyE0L77FMv0rrbT/aisCDNm2/i71AgTeQeDzgAXSQGhu2dLl/ZYBQrQhyu3UB5yKCDe9rkeWz5fgThAGjGkzRxZQSwCyCYBWltgkgJXhek6/lVZ8iPOAOPkPCuKANUFpqgioarMLUBnlHANM47lFIBUBLJgkL4ojQ3wpQFHAqX8symu531lWV5zVqITgFUC4TS2CC1mfZIUCJrSMKQulxz0CWbeBBajQkqXypo0/smzKWlsFOGoK3KP705nBEAaJk7N8FZcG2jV/vrUBkCrpaPm1qA0v5Fv5ccv98gUkH1XikDW36Kx7KwAUUMD3PEI7w/25vDbW+FAgK6AsUwp15YU8unejkhdX15TdvT6J+nNuCbSFgFCbcmRtdekBJOWyloZlcfMBoAasdvr7rduXhRJY6cv3UvEMIVe/d/kNmF3sHbIVYHaRe9pdygs4tYFZwbNgPav2JWRlSaNuZVWuKq3yEnCkJXDFR1yLPN8/TH0K9KlLpwjJek29A+Xy/5RVuykLLnWqtwy0ehfzzFFbWb7MKjMhi57+U/ahC3/Fvnzfenv6z8r2/DeP2TN/8YjddePVdnj5AltZPPIyzFLOsrdo+UzH8rmWVUs9a1YH1q0v22Jrv+1bvNAWB6TVFPhrqZx6p07VX/xlbVleZWkUzC5Zi3ppCPyAL9Vnodi1XLHnwNbje4N21zJ7u6U+IdcE+p5gDzgtAGs1AExW4TahRz0NulIUqMu2wJl+nmlbJF4D4Dq0s69MuPgA8C5x9qj3pvozefSA5GyBPFDHskjK37XfkUWWugYgBZ6rfTyRXrb5UNcWgNmFeNfC9N84fSxFyMi6y7gqCbZpe/m9Oh9XnakntWOR+2TxlRW5Rb2pzwvOC5QtA6grDllZi7L0a4WCflsC9CuCWdqgQdk0RvR8nTqq1Pkd2K1Rrw3qSfnXZrQS9V8AsNUOUhhVvpwUB2fdBnap5zyhVBZoC0wZP+TPow6Udwfj2rBI33WBPMsNQ2O56JQA2stZf5lHNDYB45qUJ/35w8rbrHvoHTa48DpbPHKDLV30LrvwHe+xK2990N527D5753s/asfuA/QEtkDtMWDuFsBO4VY+y2Kp88vWVx9kBb3fCYcApwuvgNHhb6ugehtg6rsUAJyvCKtg+tI9q3EJlvnugr4LbPU88a7e68PrywAroHVgS3lkmdZnAa3uveXDn6Rc2jSnuIjnFZZrwextfBfQ/nOG2bVj7Vg7vreP48Jsee/1luu+w/2xQETvQW1cSjhKuNgtzesdrNHiQSB2ryULWo7c517nE0z2LSrolFAAWAWLsqzp7zflr6ZX8DgLJwAr66de2+MhDPW6njwwmyvsBdL4zn1FwNftTAZetTs6W1iyHIJL9+YIgqGcYNUDUnlObwzQ/9UnALxYpmcRWWy0NCmoBHwUn7NAAnyCAaWrnebyB1R+5OvYcJtbgDWgQec6UKVd1vKjzJO+hKCWUt3ZLWXKBxHYAwbcznPSkUVHcCoLpgSkBKP7zmfBiSBCQRY3CXtZL7UBqSQQEJACIHppvPwZe9zXdkArKJLFifoiLllrtdHFWUmVDwlrAElQIAiXFa8PpMnn0r2vk+/yIZQPqyzCsrBqI1CDeOQ7qffECuD9gGCXFYw8CTBLCHEtr/eXgKnBASD1sPW10x8gagEdbhMPz3XaKwDXPlsGevctHba9i9ocBKh1ACXqUP6oskq75WbaQa4b2okuq2KVNOqUTYBXB8aaQNYAaO4vytd4CKxtvUoM8KY/aSOU2yDVofzUkd6eIDjXe28VFlEWUtu3WuqMH7V7zv8P9tX7z7Cnvpiw5755jb34rY/a5z/6fnv7oX02kIsEbVwTwAMtZYEaAFPygCfgqlEb0FZ7baV3wFZUboBd9esBs3IJkALkfF+p32abPtFYtFZ7GUAFLmVxpf4Ei/KVLeQBoyygnO9Sr4vUmyCSewgtIFRAK0tmjn6bSrbpC33qQ8qA+g39h/g6soBzn8AsQVzxZNOyxKc+0KaeBcY90u+3lgBgWTn9viDYlJVS7g1OYaDOBc9d8twCFpu0d4Nr6sfykU1miD+z1wJxWWgbFoy3nEtIQUoVAFlAoVLfUJspzxVXb31Xb/KRVV9UXxeUqk9JWVDfzXJPKtWydLpj2UzXspShCOBXZOEH+huC1DxxM2bUp6UgVGkDgWxL/VquFIJ++nnR65lHfB4QK1hXkN9wLt9BgWxYMl23FCGDYiIlolBBAXHt1vf7m+qeOmoQp9Jy/Y8+pJUNvWmhQn2XpYjwW5HvGZUbxTWnM+kUBOiU3d+Q5rsv1XqXWHvf2235opvswGV32MXXftCufu9H7PoPPmbHHgD4BIMA37sBvXc/8ll7t9wUPiIrrm+tdUDrrKWCX9966iBRACrQHAbfYisA5bz6G/fJAqrg7nGAOfzNhSG4vhTvJ93ZQa6eVXzu/Cng9WUo9qHWv3Ynn+8UrH5YaREHIHub4tFZcen5Bwnud9LkrKBrazC7dqwda8erdRwXZvV3p3q1lA+qy5YqAYmeXAW0AUvAuGSJ4n63QUnw6d61WVyxFIIsh8DMSwAIGPlcAVoEUx7Cwr0/U/CKMJdFpcjvzi+VIEhzrzeSJQd4lH+fA09ZRBFuecED98jCmCadBEI8RcgiXHISMiX/NVXO3zS/aHGEr17rI/BVngqCZy2ZI4RkTfT/elOgIKgEBgCVhiw0CLg6UKCgJUoJYVkhZblzS6qyIiHMZLV01tvqwAk+7UDXsqQsQxL4ski55XPKIVDoyhqmzUSyBgGuZcqgZdoOoNgAZhSHrLRuaR446SBkO3xvD0Gn2RTMkjZ1K1/KroAXMBWUSCALAuuyzAE1fSBPy/1tftfyvepcFsSWrHHkQ9a0GvWisveAwtV3xba75I14qpRJQCtw6Apke6QH+DVIXz6NbeqrA4jLStgBBrVxp9lYIs/LACLwB8juXT4EkALVPf0mYJWFEuiQJY469agbgYLATpubtIO9Rd5bsvKS1gCAHChdvQ5Ly/vqRyg2Jb25oOpby7VcLqVCfyigzXZ6/Ve7e7G1Kj2bO/PXzDv3tfbgJf/Bvnz/afbk/1iw5751uT3/1GP27S89bu9954W21O5SBoBMFmhZWrV8LeAsdmjfHvUEzPb22hIQ3wPWW9RJhftSyYbFYzXLZIAx2lHtKShttwBJyi+oHwgs1X7UZxmIKgLJsrrK+isf2A712KN++wJ3+l5fllWBEWCYkftC6WXrbQ3gVL9rAHcCXFnL5V4QiVa5t0PdkDfVG/d2m0vWB2gXu4Qe+aBNe2pb2kz9Xr63q7AuC26XcnWagkW9qYB2kgKJYinlMgUoxgHPeIqxlgYegVnnCgHMqhxyBWjSjwSzRWC96HUYr7I892irgdWp16b6K/1cAF2i7VUH2XQbaG8D9tR1gWdKPX8sCLwZL2XGj9wwysTjt4Os3YtuLPRorzZ1XSp2LZ2qWzJRoR0azA1AqsYQAOrxWyHfJP4GcNu0VLbOPNEGpjuMzy71J5cFjVmNYaBc0Ez9agzJIq63Nsjtowpka7yVyLsUaSnUeZWVPqtNgrIQ+3PHYTdPZeUHrfHGuNPG0drgUtt76Q124TvvtCvuuM+u/q1H7Lr3Puyg8N0PA7ME3y/V90G9BfATxPpBoOgDow+mPjAqvAS57jy8PrzfheHvCoJTB5nD67c9THyP+MH99hKwEl5x7+3cp9/dteFZEOtAljz595Gm8vfhx19+zgHsMC86P+iHNZhdO9aOtePVOo4Ls3qPYw5gyJQARybvQt33PdUGqSzAmS0Al/JL5Xe9JF3L3llZR7TUihDQpgstK8qVwN8dLrhFAAlwnUVDu5K7PAs8AAO6Vy9U18aXIsCTR5Bni30rIEC0kUaWGk+Ws2E82kCS5zndJ99WvRJJllO9QqgEGMnnLafnBc3co93Tstror02rnAUeXUCs66BM1kXgDkHmIYBXg/wa/aXeA9wrH0BBj2BOvpT+0rAsZQ2EoSw7gkX56+W1RAzItmWJ1fPEo7S0TNwF+urEUcy1rZBrAQNLwKTeX+pb3GTR6wEUHfLSrvWtVe0TzyIQDJAAeC1AW9apLu3R1cadigCT/AAvsox2uW8wOATECF4ARcohKBAAyYdVrg0ObIYWPgeqXO/pDw/4LmiSJawCRLQQ9HIVkNuAYKvL9wbxyeLYAcJ6qj/ypDpok6eGLHyEbmsJiN1ri4v7XRgMuFfATp27nfwKgKxrZwFepgnoAT4N8kA6HcrQBWqXBgLiC8gzUMD9UkLkn6pNd85XWDBMm8jvUX93qr+l1eu/tKmrnMza2Bv/vfW2/6g9fBEw+8AZ9syfzdjzTxxBcD5qz3zzD+yT915nFyx1HEA7NwHiF6AVAUkPmK1WurRVl3peBAzJk8ovuKJfZZJNy6RaQCr1JeXG61q11AXa+sD8si13AWDqf4V27XOu0gZV+ryHoiOrYAdFqq86pC579B/d05e/K32oRF+WG4P8kZ1iAxw3yINTMJwFUxZz+jd1l0g0LA1QC3QFpzUgvgn0ySq7RB5kHV92bSeLJuBJXdVJv6L8qGyynHfVp2RJBebqskYDoPRdWWnVRoJ1beRy1litMmiskraDWcZjgz5eJz8qn+CzWAJQPUAVeCxRLzWu1cmblJ0qeZPLQAl4LTEmBbNZxoE+tzQmqRNZl50lmr5UA1DLxKHgFVq0R8+Bd1u/Ac1Fns1n6T+MpzL1r7GgUCONKr+rDSuEAvkp8ntBc06BsUd8RfJVorxl4lTd+oqCIFauCJp7BNOMBc0D1IVWb6RUax6Sj68AXM+58ch4a3KWRVptJCVEim6ZuqwwTuqMu8bypdba+3bbd8mN9vabPmhXHfuQXXP7A3bDex+xWz70cR8CAcuXgFaQKBBchUMHjX64BbA8RtDZt7AKHh8fAq1A0z/fJsh8+HFA9ZMuOEDVfVy7/SWY5TfS8De2+UDqAJn7FI8Ptv5197vudWc/HRf0mfByXknjwcd9iy1luH0NZteOtWPteBWP47sZAKT6p6Ack7eW0+Trqo1AeYA1K+EGJDoXAYRZFsGYzGmDiyyLPmAIMGV5LXB/Jt+3VLZrac5yFxDw5QDMVAGhx+SfRWhkBDV81jsoPQREDuGWRdBJkGqJvcL9suC55XRAuYjwzvOcW1ZHYNS4VuYeWYLckrGgmN99y4oC8RCvNvVUJOiAREGpoKyBoJLFMJdHACPocuSr4JY+EeqykAK8PVkfEU5thJ2WZrvOCiYLkaxJwADCX1ZYJ+jIh8DX/d4U+C4Sh6yre51QLyJ885nGEGaBP0C0JQFN3D2Aqcf9XYRsn2e7CO06QrfJ9zawqtACdOVb2CNvgpReBxDq8Z3z4gAIXAROgS8J8nyWdPItBwjyt3Tgyec+kLXYP2DLgO/KIsAIsNaJU0DgASFeqe3S6ve4j3tllZS1r98ScABj5KHDZz8M64MyKm+y9A36wBoQO1gE6gS1pCUrbxvFQO4NWsYtAoVF6lz1oKV3Len2+wdtaeUC58qwb+kCO7B8kfusuhXkCSbkpiJ/ZLk/qB9oh3pLr8bqXGjt3hFbXrnIQts329ivvs4unHm9PXb0P9kX7zvDnvjve+y5bx1AcD5izz75efvyH95r119K2eQHi0Ijl4m24tKGKPqhlt/bagcHmyo79a8lb0FYqu4gvEb6AjCBWKXc4XuHZ3q0DVDbGthyT32Evgs8NdRH6c/qo1KGFgHJfhvw5Pcebd0hyMqv5fM87VCSIkPdS9GpNwSKgBljrTIcE7IKFgr6C1x/6bwEgJe9DulI4RgQ37It9faTBxQW2qiHItWXIkPaDQEX6XZo3wZ9rwbY1mv0s5f6KmmST1lwy4yFcpH2IVQZOwI8j+tynZA11XeXID76dpW+6gGzgkeFEp/1jPJWB7QFpzXgUecqoSiXgHSD9m8Rn6yzjBfyqrw3Be6uvMAw53yOvjzsmxXquUx9l12Z5WoAFGfr1AdgLEilHkr8rjJq7Ogs63CNOaTIXCRFRG4I2QIgTB71jGC7qfGKMqb7K8CqrMJlATVl8+cWKS9aYaDOmSs82kkuED0Uoq7aiX4ghULuKbLqy1rsEUo8r/lNrgpyk2rojSN94Hb5Mlu+4Dq79Lr32XV3PWLXf/BjdvP9H7dbHgBugUFnBeV8+4Of4LO+A4cPAK8ApCy3DmIFjoDnravhw5/wIZbPdwha+XynA1rue4TvuvbQJ+xOgrsmUHUw60Oqg16CHy/n1c9DYFUe3Nnlzw9Kw8Es0Hor1wWyDnCHn2974PE1mF071o6141U7jguzRSZybZTQcpp8GmsAiJbaZRktMXkLPHRdsKpdxHEEe1pwwvWCLKFuqRTwzS9ZLNmySLJu0aSW+fwNGoJXuQhoB7jAxt+UoeVUhAEgoXd+Soi4nd6yehKnLD/uNwkSBJx7LyjfJQQrEiqEJgJEYKGl2SqC0S1PIqArCOsKMFADECRodNYzPhjwu4QcAlBpypok6NWSpyyEXQS7D2wIWcEkQUuTguISQlRWN4Gg22xDOQQcykNHUCpIaQNGwEiduLWpqIwQrPBcQ0Bd6yO4lWfOfF4EmlZ6suwBhJ29QImWV7mP9LQUWuGZPAI4n2+6awLHfhfQ6pJOi/Q6wDCQ1CSesteyXKZGedoONrX03ZJwp/xaCl8eHHQwK+ur/CplafOAixLAUCNNwazi63aAbC1bA8xL5Ev+mLK+LgqU5EMLOC8DyktdWRYBAsrdBtJUrna9C5Bxf9+3Osslwl++levIInkD0lQnBCklsiovAbF6c8AKYbmrV3z5LgaC1yr1rLcdyK9XfpaCBFm/Gh3S7l1gPZ7ttvu26b/+koXe+pN2S+1n7dNX/7z96QfeaH/7h+fZc99s2zPPfciefebz9tT//EN74NYr7MD+C5wFVO4SegtAp4JiAKD1ae++6o3f+oJP9QHqvEG5arSXNnm1GQPu7QEoFYKXGiDboezdVp96oj07tB9KRRHIKjrgagKCgC3wN6CdF7uL1ieuXoP2p/1Ud7KmC2hLQGkTBaUj6ynt1URRkF+qrLuysGqJX+4igvw840pvYSgyprTqIHeDHvkf8Kz8gmVZH1BHaiO5FmgMrPqiCg7zuRpt0Hbpy9ouZcdtJFM89CUpZIJCWZ9LWvGgLBonAj5ZS5v0yyrP5+SnmqqgZNDHib9OfWmsFemzznKqMklBY8wKfPV8IdexVLpKqDFvyNrNGGWsCLirAmiek4Vcltlcrm6ZTAmFk3sZA4Vc0/XvImMqES9bMkFIVS2ZqTL31Jkr6Ms8K2VRZdaqQlV9DqjMk26G53MOkNX/5NaxqjxqDOsZjT/mIq5JAVY/9d9CobN8iHmW9CvKJ3OZ7hNIK68l8p0D0rNSkIHuPNczOqMcaAOg5skSc5uMBM3BhbZ4+Arbd8n1dvG1d9pVt3/Ibrz7I3bD+z9iV912r73jjvv4/ojd/MGP2jGA9xYBL4Cr5X2FVZi9xX3/uAsCVgHt7cCtC/oOzN76kH4T3H7cQa6DW4D2Tp6901mCBa5+nDo7YOW6IFbAe6cDX8EsAUi9XUH367z6vGDWBcDaAe0n1mB27Vg71o5X7TguzOYkOABOLXfK+ulbxQSxTO5N+WbusyLgkip0LRyrWzBWtYQsbNyv3dyyzKbTfUtl+hZNNV3Qq4y0yzidbVtGVlDdS9w14EFLn7IYSZg6awoQ2JLVT0DF2beSARIIQ7fsyLPO19IBpYR4HUhsWR0BImCTxVDL5IIOZ8Ept5zwlE9jFzBw4IFwcvAFlGjpX1YxWUdlge23/WVgCXTdI6DVdVmTtCwpq4+Elb/86QNtEwBuUO46gkog2wFgm9wrYV8rtQhthKnAUNZcyiahTjxd7usLRKsdWwRqVoC/lZ78Kcm/rHHc44O3BGgXId5AENepN4GLD8NaelVauqb6k7WtzOcSQCsY1rLzIuXuunsHgM0KAAq0CNBlQaZsdSkMCNo6ddpS/gHWJvlpAKSd1oDnl20f8LoCmHYFbHwfALiLAO5KX1ArYPVhr84zNeq8QqgJ5Kl3uTC4eqY+3QYzgnbva8NVxSNN8iHlQb6fcn8QfPX5ruVb57coCzz51FKw/DsFH1q2rgFnddqrQnt1AexEMGBn/qd/Y7XNr7d3t3/GPn3Vf7Q//9Cv2hOfP8teeCKDELwZmP2cPf/tL9jv33udHeo3nfuGgzdZ1Emnz9lBoCzOshLSd1q0vQMclZGyl2VppK3L9Gn1A7VzA5jtA//9LnUMzPYoe4v6l8IlK2WR9hB8NWtdB7p7F1EQOC+i8AyoR0FoDYVIS/luMyLt45QD8tcFtgWwUjpkEdbGMllQ5eogV4NEFIDLUN9Vways6dSH+jP11CYfUqwEph3VH31EY0D5cpbUQt2KxYbra1KSelKkuF8A6/cdpaXxx1wgS61gzkFbAzik/gBGlalMP8/na8TVRNkQLNNGgnn6bBH4rPCMlv8rjAUBrZQ4jUsHfYB+NlMHUBukQV7Il7PmcpaiV9WYc/VX537/virfG8SncVQgL1nGhUA2kQZqM2XAumSZdMkK5KkC2MpiLViVtTmDAh4DgBPAtyzDgm2NsyptKdcIN+fQ9ppHqmo/lZff5GKRywHQtHseiBWoKy8C6yIwrvb1KG9B/rrZhsXj5CcBYJNOMllx1mPNW0pPSqOUaAF1gXJkuV7pHbbBBVfZobffbAcuu9F6B99u/cNvt8NvP2ZHrr7DLr323fbO99xvN97zqN1878fs1vsfAywFjUAs4bYHfpvPvw1wAqt8vpNrCncoDEH3Vge6frhNZ2e5HVp0h+E2B8B8dkC8GobX9PklYNV33worsHXwyu+3PgBsuwBkc16D2bVj7Vg7Xq3j74FZLbkDakyustLKt03L8PI706tyKkBFBuEeB2BjAtVsy9JFhDX3y1oqy20u17UMwfnEAp4Fzh7AVOC+AsJMwk7+bc6S6iyhCgh/YKiNcG8CeLKoCGYliB0UOEHRQnAIYImDvEnIVRCoEmxVfpcArAOqWsosyVqUlZAvO0Eoi6UguYoQldAWrDhgIQ+tCgKfa13K5gR3TZCFkCO/TWBbS8RyQ5DQzGdrfEfYItwF2EqzSdnlUykrlYCxybUyAk0Cv0AeJOAEEbKk9gSvzb5bkl4CFAYqd6lhnWrLltp9BzeCU5VHz6cTZdKsO6GqZUzlS4Bcr3RcvTQkhBGIFYSpIGB1abXBb4IxAY2AQEvfS8CWlr/3afkfoPWXdKkvtS3CWtZiAWyz0QMqgdo2zxK0JL4EvAqE28TTUzz9Fdu7pLcXALmAruBWlmhBncCmgKCv019qgieBy+pytuqf4KzV1JnaywGbIEplB+DU7gPqSt9lZVfQC/ZlZZcFVJZKbYrTP1I1e9oEtt/5n06sO8ve+m9fa4Ffe60dmflxe+jCn7Mv3/fr9uz/OM9e/NasPffMBfb8M79nzz35Z/bXf3i/XX2wQnt0AT61PWAvGBz2R1k3+wI5ATl1rXpq0iertE2xiAIFtLmlbtU94F6vtqkXFJIBgN9TO8vnmfrkebWdrJ+1iqCqgwLTs+Wu6lTpCFiBP+pD1lX9aYM2KLrNX8Cg3BfkC6tVBPmXOncC6lVvQSjzPZVoWDRUtnRSIEhZqKsBeVc/a5NWu9YmH7Sn0lFZqHNBoqBNSpz6r4AzDXBp45TrO+S7QhtqzLVoM40JuSA4X1a1g553fbAFzKrPyXdX1tMKYFpx4O4xLj3A1AVZSl3/lCWUcSWrKWPXKaekLz/lgvN/BXr5vUqZVfY66QiWVY8ttbuD5jb9HTBmbNS5V9ecAsXvWoERNEvBzaYA2mQRxbrIHFah/nhOUMyzglBZkdOyCAugBZm0Y0lQ6vLAmKIeFCqMCbkWCEDzzDtpoDuVqQHPvmKpOpM1VlZuzTMqqwA6myH+JHlIlCyeKALPeeAZwGY+yPGsFIgCfSgjizPPqM7k3y83rDwKS4H5Jc08nJErRWOf1XrnW3fvUbvg7bfY225+v1120/vtHbffY+96/0N27EMftVvuB2QfAGjv+5jdyec75a5w32MurIKtg16A9raHBbKcFYBZhVU3BUGr7pNldRVcZV3VNUGu+6zzMNzqfiMArQr6LoAVzLoz39dgdu1YO9aOV+v4e9wMmOwRJJ4sHkywmmR1znPdQ6B7TLJZQFLW2GSubVkEkqwLmWzD7SyWBUPQKiuse68mk7OWhZ3/mQQYwkkWG+cnKusTwkKWywZCsYpALCuUECiypiB8O4IhnqtKyJEPwYMsPBK6dQRZtQw0AQk1hK5gTwJFQiaJEEkmPIC2grBBmJJ/bQhRkEAXBMriJj9V3zdS4AKMIfg9T2AAwCOoSsC8hxCTRVYCqIQAcsurpC+fSG0S6iHg27LuUpa2QE1pITCLuRqCs0rem07o9gDEviydgMwiQLjYBtaJq8XvXaBjAOT0Sb9B2QVQEvge8UgIywfXt5AJsOWfiYAXiJLPNnEo6BktywrGJfydWwDnDmkvdX0AXZQrg2B2IJ9hFAxAWYBekpUNAKvXqOda0zpdoLUHWCqvgGofsJQ1TbCq7wdWDgCy+2yJOJcA5EVZ0qmLhoCTfFSpA+VDEFGnbLU6bQz0NIC+OuX1f5ebhuCZeqQumk3as0pdcV8XiG6SH2dh5z4t6RbJo5aPZaGVclIhvVZvvzVouxYgtfUNv2jrfvp1tuWn/5W1Nv643Xf4P9qfPfAm+9s/2mBPfG0TQrBvzz/7KXvuqS/Ys1//pH301r22t1UjLb2mShZzyohiIwXAvZmhv89ZJrtAbE8BIKwO+2mLOm0P67mlNhM0NjvU8bLtV/1S31IC2kClg1Ly3aZcA4C32+oQV4/+INcEAa9WGxgrjBvtxnf+l+rfamtCg7bVkrkUNI0hpxDICk6fkx9oXm8HkBsD/VV9UC4hSr9LffZIq0+aSqdJXmVNrQBPZcZIkzilxGk8yS1F1kwPMJeFvUI7VYB29Vu5GnSpYykd2ijmKyXki3roAJJdyl+nfAX6e4FnNHY1hov5KgG45VwjPoF9ifjV33JJQDLVsDJzhJQCWUU1viuMMfUXjek6edVYUP/tkHe5rghgG8RRBY5r3F9FEXT30ucaGhe0ncaFqzO+l0p14pPiR9n1XWkIqjVPAPFys9BYrdG/yijLOQEuYyLHbznGepG6kV9tmf4qq3NeoMwzOe6RC4mzxjIG3RsU5LvLb5pvCpQ7k/KIX9BcsUiyYLPBlE3PJ20hkLZYogAYV92cmaHuBf1Z0o8D0zHy4N7CwOcM4JvWZ+pIexIGBy+zfZdcbf2DV1h339ts/yXX2WXveq9d/Z777Z2/9aCz3N7A+Zo77rXL9CcPt3zArr/rw3bsnkcB0yGQOssswDp0SZC19hYHp6vAKpjV7/4199xqcPf4QdbgWx78bd/iO/xdZ32X7++tBJ3XYHbtWDvWjlfrOC7M5rVkh6BIMcGnZbFB6GWZqOX7pQlVr7vRBJtAECWYiNMSALJaAnz+TnBZRfXanRaTsSwWEtaACmAlC50EnYSJ2xwFIOm7oE9+d2UgsiifOAA0nxUEIiwRgLIsSVBJaAmQ2oCF2zQjiEWgNpsILoSdLD6yimQyZYtG8pZGOCvubNqzbAZBTdkEYw5aEHodgoBvqbPsrKTyB5WVp0g+tKtfUCzoEkxLMDY4u/wIJoAMZ2Xj8zLQMgBaerJaypKMwNcSqNL2iEMCuU+eB9zXI/1Fdz8wL0jgeS1LL3eAXOCjL8ELCAj4nOUV4GjXgODmMs9rMxLPAsKykrYQ2O551QcCvw7YS7jLaibLr/xvZYlVEIDKB7YvmO3LB3jJAaxAowBwF6m3FvWo0GwABQ62SKu7bCvdvQDaAR9cB7LIEu9AS9qAc0OQCkxQN3VPAI6SQL26ZWKuqU1luawCM03KpryV6D9eVjArP1FZoGt8BmqJr+ZgFoBpyuVBVkLuAdrkUyn4kDKiJdoqoSKwoj6q5NlbWLAz/+3r7a0/+Vrb8LM/bN3dP2YffcfP2pce+xX7+ufPtb/96ow993Sf8Ajhv9vz3/6U/dWnr7CLl4oOpHvdA8DnPmeZ7dJflzr7bC8wuw9YVvmXaK9Ogzqmv6mdBYxqBwGrXoUlS6wgdRFw7FGOdr3FbygRvSX6q34bUO9LtrIkH2TaZlFvqqAvkXf1Zbcxi3K6V6ABmE5hooyCMNffiEOAKYtnlTpz/tg8594kUJTLDeMIiNIYkbKktHp6/VhLftM60z5AYpP6bVUEiYwt4tbKh9JRnPkiY8+jz7uxJGXMc+NLCocUKp3dRjfG44D+Omh1fQszn1vkrcz4chZoYNIpVQLisiyzVdqNdIcW3wLwlk8xTpMVyybKjJGGs7YKKivkoal7SbfBGCgDvhXyVOeaA2jBtgukBzhnU0UA1HNplNSPKIeAXm41UjI6KIg9FKM2bdfieecCQx4E0AJRt0IgwHWWXoBV8x2QmWPsOv9c6jSdZoxwXf24TPlzbo6puThkCfbkGytlnvvyuaqDWeUtnyuTJ+ZOYDQcK9nUXMZ27gnaztGAzc7FLBIvWjTuWSRasFTSYy6tWwKATQ4BVhZigbIsuc7HV1ZnuZn0Dlmjc9D0pw76Z7Xq4AJrH3ibNfZdbu2VK2xw6EprL19i5d4FVl+6yPZder0dvf637Lq7HrbrPvCw3fjBj9ixez9it933Ubt96JpwK2cHonxehVkHp+76EFgdpPq/C1RlkdXZh1b/eVmIXdA193kNZteOtWPtePWO48KsrLAJJupYumLxdNnSfFZIpZhok3XLyKoCVAhUFVJp/32OHhOtllPdRgqEiL/MKGsMky+wVUdAuqXLYdCSp1wJBFRagtR3t4zorJ8IN4SVAFbWQEFbGaEg64Xgxy0ZatmS7zUEnsBNcQo+JdAlTLTUKAFXAGxzySLCqALoISSBVRcnIOSAFKErAJVlUddrXNMSsvze8pRbFh5Z5loCWUCqo2cQ9I1ynXMNmO0Ak8pjm+eBWyDDwTf3eQ4Sy04wD4i7x7U6+aqT9zqCtES9tSiPlp0XBQYA5DLnHtDRQIBXBAGUpUW6suJq6dgt+TuQko/norVV58TVAGJ7AiPyUAdYHHABsQOEek9C3cEhZQFQVxb1PlqUAYRznXJUS6TlrHCAD1Amq2GfMCAstvu2b7DXDi4fsP3L++3gPsL+/cCYLMXUZXMIs8BG29WloB64Vj9QO5GvVcBuCkSltFBu558IPJQEQACvrJ1t0hZMC0D6ghGgSL6LslLKSiYXFW2G08YcuRq0Ac5ef78tLi1ZatdGO/Unf8R+/XU/bNt+8YfswsyP2ifu+Nf2159/o337b7bY33x5t/3tV0bt6W+905575jP27DOftOe+drPdfUMVaJXF+hB1SnzEL5eF5fZe20v9rUjRoTx7u/QRgZEsnQDcKiCprZ2CwXf5wO4dyO9ZFnvqo9HgXoAW8F9eRAGgzpb7KC7A7BJBcdWBPfVLgZReO6U3Rrj3v6qtSVtvknCWXxSMKu0jH/BaVQqcANWHX+349988oHHkg6barwVQV6s12rlGncnVBQgmzx2ud2rcKws839VXNBZkFS/T7zSmpBjVlDf1Q8aZJ8UMiCvRH5u0lepib0/1AszTbk36f0nWzAzjTmPTtTeBvKqMik9WVSmoau+y5gfiKzDPlIi7wbzTcOOqSd11rKm0i+r/VcolZVe+tIwdfldaGhNVWUqZo1KJPOmWGK8VK8qth7GuZ1xZBMVOidIbKKS8VZySm+FeucPIN7zJnFDhd2cFZzzKf1hWcLkK5ABbWVwFucp3iSCF2a320I+LglhBudwWtBoEoMpX1ymJ5EOW2kS84OB1bCJsO3fP2+h4yObmkxaO5p0Lgn5PDt0QYqky8y9lolxKR/NQJl2zpDbKAbTutWeMeW2wK6P86A0seYA8ixIWz3V5tmNJFMVkts1nhY4V9E7gxSO2ctFNtnLJDXbgbTfZkXfeYVfeerfddPfDdut9H3NQe4dA9oHH/M+E2/l+C98FqrLAOpDVdQVAVWfBrvud+44p3M/9BPnz6qywBrNrx9qxdrxax/Ets0yebvkrp13B2tChzQzyAQNqZaEAPrREpx3N2lUsH7KcLHyywknAIBjKCJs8z2nDg9s4pd9kESEIVGV9LSE85H/oXmtURjDXfJjVMqggqy2wdNYX+aHxjLPQ+FYp3VNGSFRkiUG4tRFCsgp5uoezlh9loap4CINMEXgqI6R8Qar0temlxGf5OdZJS0Dr/HIRYM7nTeVHOMliJMtYF4HXIb62BB4CVaFVBR4BlkGz41wEGgg5+Sd2tJxeaQCzCF/SLxUEsw1bBBoGsngilBvkX5Yl5afOdwnuXr1pS82W9YmzWa4iqEvk23Mg0uG5LpAnSC0Tpy/MfReDEnktktcKgn/1vgZxdbWcDWDVgNRSFmBAuKpetVwrGO5pmZryVMiflyu53/XsKgj1AdU++VnqdO3AkpbOZeWVn6fcJJbc0nW/w33d4XI5cLXIeUnuCYCzIKlJnal+nX8l7dxUnqX0yIJLmymovnP0Kwc/1HMPZWCg+IE5Wev1RgApQp7yymdBrF615P5YorXPFhcJvaaNnfZr9t9e/yP2Kz/yQxY8/Qft2qUfsd9/4Gfs6W9stG//z6321T9aZ1/779vtyb/p2HPP3m3PvPAxe/HZd9sffXyfHeir3ohTMKkAiOtdse7NEvTDNm3Vp18PKGO3QT8A5Gr0uxJg5KlvkTcpDNrAt29Rlm+Vo4VigBIDtK5Qd4t9lBHq0kFuXVCmlQdBmmCTPkHfcf2ftORe0JDCJQWP/OjtFLKel7ivBpjJwqo8tMiPcwPgHvf2C40j6kp13wDcKigqJa/MuUodNqivDuBKOTgrdAHcPsrIksBc4EteihnPCinPgeQq/ErhatGOas8GeWjSn3s8t0wfWGwDw7LOu/HVdsv0/uYw+j9xVIv0zULF9XP1eYWSoJjggHMIrDX6dUPjSoBNaPC95lXoO+q3wLCgmHSrui7lCJCVQivlNwf4aTUnJz/VFDDpQsHSKLFZwLIkxRbI1bwjkBVAJrnHI33Vpeq+Qtn9cUt/paxyJ8oC2gpF5oEK36Uce3KbyFKnjCvBuQBeQJ2jzrKkt+qnm8uWnN9uTi4G4bRNji/YrtE52zMWsOnZhIVDWYtFBb5ll8eUoJb7Y0nPogCx3BCSfBbUJrkuw0KGei1qjhrOg1qJcm5gKP0Z5tJEvm0xvVUCwE4z9yaB8ATtEU3WeJ7rpWVLVVas0DxgNeB27yXX2EXX3mpX3HSXvfOOe+zG9z1ox+55xG6XxVbh/o860JUfrs63atPZvVz7EIHzbffzmwvALNB6jM8K7l6FB/T2hY+uwezasXasHa/acfwNYBkmYQRDgYlfS2haJtOSvzZSaYOHLCoCU21ecBMt15NM8mmESpZrOUBRS3MZIEtLn9rko0tbsu4AAP/0SURBVDgEorKOlAWSnlwXylaQ1WcVdBzQDn3j3HmAUCSNZMkS0YLLlyydHkJEIOEELAJUQlLCUAI4G89bHgEggHPCHFBLxZKWjqWctUZWkqzAXEuBPFdHWDdrgln5QLZd/goIxAyCJUvZtNmqhaDoAhBd7ukg7ASmWqbV/X1gYll+sICMQLdLnD1+6yKMJeybwEK1BOwAEw4cFASaPCsrqiBcFtU6Ar9ZLFunVEGIlxCUHmmXEN5AQKUGaCBwAdliXhYffhNoIMg61JmzylL3dSfkEcgCgQb5Jm9a5q3SjkXKUqSdBP9trrWpOweasnQBC2XqSUu58unUa6Xk1ylA6QqwAbC9/aUhpMq1Qu2oe7WM3nFL5it9uT7we0sw71v93PMCLepPFnYJfSkmNZQg+WgKUGWFletGKSvAAdKAXS25O1gGtp1rCb8LNpy/LbCrHeY9/aOaXqfV0h80CELzdu4v/0c79d+93n7t9T9kzakftVsufJ3994//ir3w1A574iub7BtfHLNvfzlv3/pqzp575p3A7L324vPvs7/58vV27SXEgTKl3fty5ZA/s9wL9nYBZcC2t9r+lF3L9LKMCv5z9JN0LG8FYEQwJ9jf62BWS/xySaEeZN2mPD3gsyMQJg71IWd1JDRRejrUq3PZIF5ZF3O0lfwz5YepXf7JOAAWyfEZMKO/eDzXoJ4b1LNAz3d5kXUUuFWfIi9qI1kyKyhDVfqQQpNnZG3f1x/QpnodnJQnFBbaQS4ualPBZZF0NKakHA3aKEWUv0OcXeKX5b9JGTpSdGRh7upVZFK0ZI1VHxXwAYmMd40rwayXE/wBiuoLxCElT1AoS6nK4CAS8G6S1y7fO1xvck+VMav+qd/rFY1pxj6AWwWOa7LWEqeC2kKhSDpaCSlRBsWfA1wFmWU+5zmngMQ4c0nCWUPlhuQDrcsP409Kb1lzCSCaSXsOkrVyUMlTNq0mkJYAPJPMkxbjkzI6azNzmufajWe4nskyFwG0bh5h/opHcxYMpmyBEKEd5c8vBS4j2KWts+RNG8RCwK1CPCE/25p7C0KcexPJCpAL8GoeBqQzxC0AFpzLFSJF+gnmSoFrTK8oI9+6P8E9mp8j9J8g8QaJay7qWZi0k/LzRTGsDfSnDkess/+orRy52i646phdesOddvRd77Yrbn2fXX3HB+3G997vNppd++777Mpb32+XH7vLrrz9bnunrn/gIbvlQ486uD3G+eZ7P8L3j/DZd2U4du8jazC7dqwda8erdhwXZjWJa6lM/l4VZ12R4K4BtxUg0ANSNVlrgi1ZNF6wYDhlc0zSsiik3WQrfzPfd0y7ofXKrJIspsBMU8AnUJXwQ2hpaVlL0fKVKyTLTihow5J2YWu5T8tsqThpEnde0BzLWTSaIW7BAwJVkCcBym/paN4SIX5zwos8JAuWTWT5jvAAaBOxjMUQKmkEiKC2NFxWlzVVgCKBKauPs7wMyy6LomCwyrUWwrYNeDRltREMA/zOZ1ZWW4EteRkAFn0Aogs4tMoI8WyOuHLEU6LsgCoCs811WWHbsrLJIkVeG8BkLVe0arZAegUUBg/g0zIo1znLiicLbYF7PGC2TX57QMVAlky5TSguT8pDiXu06Q2ozxSBWNpMgI9QrQsmUAK6DeofSFHdCawE3W5HvwMqWaF7NuDc1/cGMNsFdABV52spoCPdHs/ruW4DEKvXAR5BD8DH/R2AvVtv2BJgK9jXUrOWqiW0ZT3zsrKykxfy3SYOKRBVQLaS71EGQbagSpZyuSGgkAiA6Qvyddb7eRvVZdO/ty31DtNm8untmpecttN++vV26r/9MfvV159ig8CP200X/Yw9+qHfsK9+fpP95ec22//8UsG++fX77WtfeZu9+OSSvfjC5UjHW+2Zb9xg97xrhTy3yM/AWihw8m3W5i/5US81F53lUlbZDu0mZaEpy6cgm/5R0QqBg7eG8yF1vqSybssFwykzWrYHKmnrNvWnuuugUMgKqeV3WT+7rv6pKz6XuVaUNb3kb+rKJAEPQCQazFkCECpqxYS21fjR/VXgStZhWdlr5MHt8Ke+9Nm5eKhv0HZV+reDUD4LYBXUXk1BLkGKi6y0Gg+yvsoSK99fuRCoLzgAZ3xodUCW/zZgLteKPnWhZ5SWluELgi3BHkDXqDLGCA4smVcyjMk8/VNKmfppSUocedJ9dfpvk+9OGdTYFsByTfnVWKkydkp5+n8G5YExXWasqN9LGVQbSDmoAr6CXillGpu+mwTg6zG3UE9F4DjDvCXXBtVlcCFu0Vja0sQpCFVbyfqrfKUZM/Ewc0okD5CSZ56RIq4NnVnmh0SiAKQzLql3ZzF2VnBZfwWozFcAZwFYlmIgv954TFZY1YPGMffmictZk5lvqa9ogvwwVgOkFwVe0+k2cyoAGs5YKJL1rbX8nkgynyUzwHiWPOQsnilYlDhkuZW1OZnKW4q6jgOyUeo7nACSgdgIkBskDxHKFeV3F4g/BNwvhJjHI3JvaDiXhUJtyYr0+3L/gPUPHbVDl11nF119ix26/AZr77vYakuMvb0X2uACvTbsRnv7zXfZ9b91v11LuOqOe+yqO++xax3oftiFNZhdO9aOtePVOv4ey6y0fl/oeAgdWWpkuSvLwsJErslcYOsv65UtxQSaiCEMEGLyI9NmHlmOtPFDwkQbIbSMXUXgtpzlBeBrCZwEkRKcCF5Aq5jSsnrJAaNAqQVcVBFMsqoIxGSJ1GffbaCEkEMYI8wbCD7BZQGB45EfAXGVNPNM6tlEmjLI+oIAk5ABwrVJRKDqLEcIfQGhNmB1qnJxID1+LwMnvj8usEJZPdKsCKARWNp84tKTlUwWIgR8g3INyPNys2WLCPqOLGEFWWVSCKwceawAeQhZwLRBXhqyLlEGD6FcShWsDoTqupfJcn8GgZcBWAAX4qgRlw/R1CttUuZeWQgFz7JitWS5QlgLSGQBluU2FU9ZOp4BHIFyYLlOueQGIV9fQctiWz6bfefbqc+y/ApyBbLyexVstRHQAjxZ8mSZq9GmCm3qW3DRQHA3gO4GoN5tKk4tYQtmARCVF6BVOwuCKxLytH8GwZoMZzkD7MCFwEM+u8WMoLtoOQSuFCcpMv6StvqG/Bl9H8YysKvP2hijF+HrHbuDTtOSM9ts28//lL3ldafYlre81i45/Ab73T+YsMfvm7dH7p+z2+7aZXc/0rRP/Nmj9id/ca899a2WPft0zl6wa+2FZ99tv//wFXZgQB0DQf36gHJTZvk487lDHvp8F9TJ2ixAdb6mVaCX6325oQzrbNDWEr6AXxZ49U9Z/eV/CiDRFrIoCsB0XVbxMt/Vh1QXqqcu6XdoAyl5crHxXTN6btVCfqXy/y65MaizFC5ZJNUPgVnaqyKrLe2t4GCKPisrpaymUlSkdMkXu04cdZ5xfaaqdhBU0rb00WaF3+hHjRp9WO4JpCHlSRb3Kn1QwFaWewSf3Xgg77KSamxqyV9W2Bx9Osf4kxVVlmdBcIH85NN58ky6pCMlraT+jZJX5ZpcasrZ4TgjDc0VSlt9XH1R99TIT5PnaoyVakFKXd1XMHQ/96htmrLgKv8CW65XiNcjXSmkVSnlsrbKipoA5kIplOO0RSMpxgzjhbxL4ZNrjGBT4CvojQOU8UjGuS7kmUPSwGPaKcsF4iPfgLbqQ/WlNlm1BBcpsyewpVx6tsAYEMDKp1auCFl+0+bUGLAaQUmPxHMWIK35YNpCobwFQ2mbDyRsfiFhgWDCIuQzAcimUlnANm1hQhAYnw3FbGI+YrOBKFCasDDKezSRAVZRgEgnRhqyzkZQimJxyk3ZQ7LQxnRdm9Dk4gD8RgoWIM050g9Q3ghlSNMPBbfVziErN/dZMqd3h5cJ3C9lGQWzd+gyO3zlTXbw8nfZ8qXX2qErb7TLb3qvXXXr3XYFoLsGs2vH2rF2vFrHcWFWACv49EEWYci5kNUyP3BI0A5nCWAtkRaBPA+hIp88gWsNYNJEXkGIyWe0zgSvpX7BZymH4Cp6DvLKhGK+4OKS1UqWII8Jv8S1eqmMUJVwl0ULgZf13DJ8GyHj8VlCssS9NfKg6xUEhAS3BGiJfMsSontS0RRnCSjBLMJGgCn/RAlihGsZoVRFqGv5VGBcG/rV6b2wAvM0E7kswIJ556dH0PK8rHFats8jzDIIwCzCRfluI0hlpWxV5ScowY3wS6QAkJwT3K2G/AG1TCqokcBGcCpflKVOHpvUWSGRtVwybYlwzJLxpKvbuoSywEX1QzkFCFoSVpDALqaz1EEB8JIS0KLeENhZ6giId5ZXAExBsFUHOiToO9qY1JZFVku88qct0E4lVzdy3dB7b+sOvFA+uLcnKJMLA/XVUH2ob2QKDmTbgiDKLT/fJnG1axWeIZ4GyoIsePQDLQ/LQpaJZWmXNJCQpX95DnQEIWXVOQI2FQMWELw1FI2uLLdAYt3rUn/aGKglcFnxtFEKgGwJwgHGWsnmtp5rp/27n7FT/7832ERwzgZXoFRcULDZ8zbYPddcYh/9zFV25K632YW/+4f24Jf+h/3l37yTAbBgz76w355/4d32tc9da1cd0ZKxlAbVlTb5qczUj5QA2r3vrNWyNAvu6rbU6tq+7qKtdORfy2/kpU999lwfoA44y9LZlx8zENmin6sOpdRIoRDEF+jPWYBDZZblVr6o7l4ttaNgyOoud4seYC349d0SmtQl/ZS+4MaiIJBx4DZ5CZqHIJVDyZTiJwup4tVbFmRdlstET8oK9wr8BJaywA/aKC70n55AXcBOfxJAeoz9olYMGIs1+paATRZQKVUljX/GQZGxJ3cC5VEKj6yogtY6z2hcyL9cIC+w9C3B9GmCxnedfrEKp1X6bCVHv+JaW+VRfyOf6psefVTjoaz7uL/u0V/lisO9ddJzYCuY1fjm/jJjSqFEfBmAL8/YKlMXUkxz1LkUQ9WPFPdkNIuSlaYPApyuzphHmAPULilZRQNJCy3EgMEkMJhx1tG0gF1tQJwlzZOEInmT1VlzhVwWSlKelSbXC8x5nsuXgFpAS76GcaTieYtr1Ym0fHhNWhiITjAeZCiIRoDWQMwCgYhFYylLogTHUQwjBAHs6MyC7Zyct4nZkE3MBG18asGm58MWBpATSRRI0shQHq24RcJ5WwjmbHY+A7gCsnJr4LpeYxiLFIHoHHnIAsV5C5EvQauAN5YoWTxZfgmIFXRvUG4bzJ3pcs8ytUVLlQbWWL7Q9l/6Ttt/ybW2ctHVazC7dqwda8erdhwXZiVcZXWUlUIW2YKsCmlN3hlLAWdJJtM8353AYpKuyLqCgJOVSRN4AZBsAKQSWKWcrKOyEiY5A2f5HMI2DwQmLBoMWywcJR1BkZ6XYABycv49FYCwCvwW3ZJi3gkoWVsFqgLfQgrhBFxLkCmPcinIERLhlCVCcYvMRRBQMcuSby1pCmQrgl8JTgl/hKAEXwvBIyiW5aaYLlH+ots4khpaUkrcVyF/AghtApOrRIn6kQDPxbOWpWxl8qwySyBLgBbTKmPa4uEEgirtgFo+sGXKI3AU1Lepn34dWJRlDCHeFDhQnhJlLQCoekZ5rEkZoL6LsjIjmGqUdxFw6gAiRbVLLM45DQCUgK4KICbLWon6Lzu4bpTLgDpCH8io0KYCEN9aSLlU55kswp4yABo+/AJfFbkxyAIroC0BWFXyCfiongCbGvmtU1bBbL8l8KkRbwEQ5LuDF+AfWFP/8bguZUYAIrcLhQKgL8joAjmy1NcLssD7VjP1vRoA2W/2yY98qQWDA/Lfsmqu7oBTm7AcjANc5VTSzvuNzfYfXnem/dIv1u2n33Cd/cdfXrF//7pNtunXNtuTX73G/vD33m7z19xs43/wZXvXX/yNfeGJx+1/PunZU88l7fkX32VPfv06e/f1QLOsauSlDdA7P+kaCoMs9IIqDxgFxOq0nco5UB4IshxqM5WsmlI8pKTIzaJHuQSG2vTnb/5TfuXm4Ss8DeKS8uD8laWY8VmgJwBsUO+yOOoNF3L5EIDKT7tJnWo1QtDoj0/aQwoj+ZbS6dJ3MOfnV31HymG/2bS9vb4ttTu25FYQUIbkbiJFQ8BJfgYtpdey5XbXlrU5TO2vtuF3pxASBLQOaknHASjKXoX+oL7QpJ/VKbsUK417jeVihnamvav0rQpQJ8ur3G2kaEmZlSuNrKkt+pcUAFn1G9RvjX7ZZk6RAiA41nhKMc4S9NMc415zj9x46oJIjRmnWMlqK8XPh1sBscakvwpC2vR7KYRl0s7T53VWvyxkBP4e40iKFvNHJGWxIOMWZVhzWYFxnk3IzzUDcMrnNWEhfk8yrvOMR+fOxH1ZxqLv3kN/p96dYu3S07jXqpUstChrAGExqbkMJYbndJ+Uj7RcCEg/Gs5aPCLABnCB20RcbgWCV7lJJQBP5hWuxQHvMHmcmF6wTdvGCWM2OjZju0dnCTM2OblgkZjcEQTF8rdmHievsXDOFhYyNj0ta2/OQalANkWQL28UOA0DvKFojpAhjawD6yD5CoUzlD8LEAPe3BPmPDeXBGh9F4kgcQTjJfee3AxKaMbrWa17/hrMrh1rx9rxqh3HhVnBaoqJUj6miViaCTZpkWDUopEoEyOTaSzGRJtACABYCCpZIGW5STKxZplw88kMwlnLyEzySe4PRywWClk6EUeIMeGnUxYNBCw4M2eBuQWERgzhKwEImMXjLhSyaRd3reQDk2BPlhhZ/mTZlL9cHuFWQShp01QNYZWNI3ySaSsw2RfIRyaijV8J8h8jTYBYQhLhJ5AQfMk6KeDQMr3iE0QKULVsKJ9ZD6EowSTrlyzUZeCrg7AUkDjrkpZXEURVgSq/FamHHMCeTZIudZYBdCUQ4+EkIeYAXtBZQsDXCkApdVED2gWLdeqqRh1UgAC5HEgYK24/cJ1nqpS1guAWEMi/toRQz1G+2MKCxQLzlD0OSFD3BC9LO2SowxwgT5oFFIoSgrOIMJN11/khCpwQsHVZy6gDbVqTz6csvkuAzr5u3/Z2ugC3fEEFZU3yqHpOWoq+kCaoLB0gREDbAma61G2feATrRfJXQAgLuD36Sk5QTx01PdoSkGkCGgPqcqBlZEFdBiEvmEWhEMxquV3W/gpKRrPcpB/UHaS55WTS6bXrttjrWBLB/Ku/ELHX/UTFTvjBo3bCD1xmp7ymaOe+cdIe+ONr7G8/s8/q1MVPNh+2//rpL9viX7xov//0E/b1F95rf/PsvD1n++z5p95hn/rwBUCVR98rWxsAdZZYvU0AeC4BPAImrSp4lNn1BeqlTZ00UEpk2ZQi4KyT5FGWbNWvNjEJdrXBarnbtZUuMNlR3PI/BtzoT4IwBQfAhDp9vlykX6AQCGh1vQOwSvmRAiOA7mmDH/Ug9xaBpSyX6sNSpupy/WCMqE11bqt9mnU7sKiNX6QNMHZoqxa/tWiDGkpjzaPflVFy6hXX1svkUUqGrOqyzjvFFSiTC4AUSQGa8wGn77T4rUdZOihP6ssKVdo3m0jQ5/1+kk+iANP+GeYWKTGFHEqgxgL5bdVq1mtKeWlQT5SXMV5lLGocKA2VSQptlmelIBZpB2flVtn5LUffzjHnSInUxkmnEJKG5gmNdx/olSe5sZAHxqEUZinKUmKlAEjJE+yWsxX6rCy3QCkArbIKOKW8FzTGAXJZbhOMaY1tWXvTAF+SuUZjPA7opph7cvT3LP0/EU0DvYwDpwg0UeZlNS9TFyjC5EUrR1IipWCmIlJ+lT/NJWXmkQJxMYdQdllx0+Qpw3jSPBsLMa8JKoNxmxifs42b9tjZ67bbhg27bMOmUdu6Y9KmpgLOhSJN+hmAVhbpPPFEAsAnYXYu7iBVb3aQlTcKzEfIg2B1YT5p84GULYT0Bw9J5n6gN+YBszkAOMPvKQe8Qb7PL6S5L2cRWWplRU56tsA903OA9hTPh0trMLt2rB1rx6t2HBdm5W8p64Qm6GgQcGXijHFOCdQQQGnOGe4pCSjTTLaCmyG0yaIoa0yBIKhLRaNM2nEmcAmxLAInz+RPnMEQAi7OPfyWTiBUgE2Aw78X6ANmy8CdczkQ7BUQPgigtgQmQZabGt9b3NORUEao1SQACS1ZdRBUErKC22ggxAQeId2EE4ytKoK+7DmhKd/WtrPMChoBFUEvZ/nayZpS4LtgrAxYV7JZa5CegwHiaMkSirB1IMYzqQjACujnKGsO4Z1F8ArgZEHOI3CL1EeFMjZVDuJRaBIagG2rBGBSLuVL8O78ZxHQ2TBgD7A2qLsG4KsyV4HgJoK5ATAUiTc4PW2R2SnSiVI+CUdBQ5T2CNFOcVdvLeITeNQAc1mA2wjwDqEpcCauDqAkuPSFv+fgabkt/1FBQ9nPE+VVmwbn52x+ZtLCc7PAdJTred/CTH32qJueFA7ym4vSvoQ6sCSLsVtCBsjbxNUFsMrkRaDaACikJLSKVfNSuqZlarklaHmZzygVWsKXpc5BmkAM4OvUfXAaXR+0n/zhgn3f97Vt5JR9duL39+yHTp6y5nzM/ud/v9j+9M6Sba0dthNv/l0b+ejX7U1/ZXb702ZfePZb9hffusGefLFgL77wdvuLP7nWzt9Hu1fr7k0BAn73FoNamzwDlICklJ82be7avkKdqG4om6ysztrt1bmvhUIgP1cBuHyL6V9aBaDMLeeCUXeuG1oiFyQVgS+tYghwOw25wKBwuJUJ6kKrE2prPvuKgu93LUuqW6qnLt196ktArOqxobEhJYk66tZQMAidqkcdCjo1nmgPfmuqTel3Dfpcs8pnylN1n+VGITccrX4of/Q5+oTcYGSZF2TK+qp27ZAXtXuLtJvE1dVqAPGsKmdV+rbyrrw1iEPKWBGAS+sNI/TdDOCnFZmaxrgUV+LUGJf1W0qWxoFgW640q+40sv7KBUH9scyYlLKm+qqrLci3Vl8KWsKXIs6Y1KqQR14K3JvRnMSY0Bwlf2837klHCqnGQhWoLaaAPgBQoFokniJziuY7xaP5QIqDXDsEzXK1keKci2eY6xIWZbwmpchq9Yq6y8VQ0IFduSJltVrD/fIXz8XzzE3Z74Bup6ADzh7KtNwT0rGMMyKEQjELAq1R5tekysR8EA+hIChNroXnIzYxNm/nrt9up526wd56xibbvH3U5ubDlia+NPlTvrU6I2VEFuhYWBbmNICatSggGwR6A4Dr7HzU5oOM8RDfgykLLHBtBugNc19Elli9LzdrM7Npm5nP2OxC1ianEjY1y32BNCFlcwD5DM9NziRsfDJhk9OZNZj9Z3M8Zw/f9ISVP/DM8PvasXZ87x/Ht8wKQoAwWVgTTM5axs4hBGQtLQg4ATVZ2OQXqqVELRnLz1OWOEGblqzzCf97lgk+B+B5PFNDEEmwCdKKiQTfZUVMm5cFMjmXMykrA7ZeKoYQTQA7WasCkU0EVSPPxA8kCuQkxHzB6llbcXKPwLDL9z4CbYAw7MsaRZCFSOWJBSMIJlkFeaYkiBRUARES5gh1bVjyhTKf+d50UOdbXMsAWI1y6pkGoYfA7/BcG4Hdog6aCIkSAr+QkruBrNICYllB+YwAE/AKVquUr04ddhHwbcrW5uziQYj3gZwBoVUGcolf16rEWSbPHa9IuQSisnoDt9RNlXaok0YVIZWLhEkrQt0ioAmFBIpHRCAbBWxVzqIt1mrUCwBLuQSbA0GnhD/1U6H+tBSckyWNtspzFoz05fdKXVRVllTasgjRZCSK8FzgHKaPREk3Tj1lrFev2BJAuwykLTWq1KWsXPQhwKGU9cFBkFyhTLI0C36kDMlHuMy1Nt+75K8FiLSBWG3QcZvEqFstcwsiBXOCYMFOp1q0XpN6jxft9F+K2A+f7NmJJywBs0ftpJMX+T5jl1Yb9qcfadpipm4/OnGZnXD7J23kkb+wn/y62ZHnzX7nWbM/fuYv7UvPtu1pW7Snv/4OO3ZN19I5+rks4nktUUtxadmg3rWVVs/26T26QGeTdhewVwh1+oncAmRdrQPnAt+l5oB86m0H8iHXMrZcc1KMlaSrD61EePQpuVxoSV5wutiWr6pcdWh3We1JQ1bWOu2vMrs24z5BZIW+U9bv9AuFWpExglIxqAOi6r8AcReoHDT15gzq0NOyOuNHfZj7OsCr/Jp7TZQ5+kYHwBZsa/Oh/ForALTGcRyQ0mqL80mlfIJkWaZzSY3ZnGsP1YUUtSJjV/mQstmmb2m86x4powP6xiKKUY82louKLPVp5ogEc0uGutE8IlcdKVYadxo/FSlhPCtFSHXhCWbV5wW/fBcoe4ypImOhojlCadJXyrSdIDweAsIWgkAm8EpcSiMP+MoyK2uuoLqoDZqMU7lLqF8qDeezjvIeBRKTYd0rJVurESiqeo68C3C1B0Bw7tGHPa1CEJ8sp2mAMwPQ5qk3B5wRIDQi0I1SXhkK0s4/V5tTBbNy1ZJC10BpqwGx8ustEG+E/M/PLdj01IJNjs/b3FTIlSkRAZiJK0O5lJ8sacjoMLZ70s49d4udt2277ZmcsjD3ZQSzDqy1GkQ/UV9kzkiRx7RcJ4B2gewssDxP3AvEsxBgvpSvrXx4gdrggsa98pOzUDDvYHZiOmljkzFANg6sxoHWGNdiNjXHd5TI8Zko1+I2PQ3YEv55w+yz9p6j37Z1e79twfczKRzveOpp27vfv+/iTw+vfc8dz9iNR75tm26kzodX1o6143v9+Hsss1o+9iFDcJqPxxBUCsAL5zJCWVZKCeU8QqyEMKkBTTUgTsIhKzcBJn+BqO7zgLxsPMzkG0ZY8CyAJjBrFIHVXJJ7YkzkaaANcAWMPMAsx/0C2zLg1iLegQQ26RWJK0/cOQStJ7gFmGqEOvHVgZBuGXBrAFZNLfXKh1VCOUEZfJjuAh2DapmzrEUITAR8mTw0EfYdgSTXerJaIWTqBFliGxLI5KFXJlQLQIVni1WA1uUXIAY2VJ5SBgjMKR2EI+WuIkAUT0vwSlnblG1A/hSa3KeyNgFqWckEsoNaGTBSfihzkbgFBoRlQHGRPKt8eUBV1tA80FmlHlsI1Cp1UqFdmoUk91DWRAgBGkDoxoGkIsABDFeAU8rXIb4uML9M/SwRb1t5J68NrlelPCD05dLQIY8rgE5PVjIAokCbxuYDlgiFUHBC5FHCUVY36gxY7tVKxFe2vc267e/otVxAIHWsNpJLSTQURABHHPALiBrAVpU69YC7Om2vOu0DWFI0tBmulPaAWQGYlrSlwAB0xOes4kBap5a3xQ7AG6jbL7w+ba85oWInjRywE0+6yE45qW4/9tpZS8w3bGq6Yv/6TYdsZNdNNnLRx2zk4S/ZD3/1SasjGz+N3Po9zp/95m/b37y4z1546nJ7/MELzasAPTlBpKzV1FG5Tt46tEPH9rbaDtqlXKnPyWLeog56VVmmdb0IqKMYAd96e4dcE+QrHlEdBAPUQeglpUeuICXicdZL6lB+ySqbxkyVOOXzLOtpnT7ZpF600W1R/RpArfG9wPNSMEtSCulLNepRfb7vLNYAK6FFn21V8ygEjFf6el31S5+r8Jx7hu81gNlZZWmTnJQlxrDcV1LOuh8h/ynaGWWjLHcc6ob8S6GSO4trR+qgxDyQT6AEEwSlauMcoCqlp8x9PY3JVsMG8hemv0uxdNZZpyRrNQGQlXLoMWYZp3mUp5zGuvo2cdVdf9EbCRSk5OgaMC+oFTTTZwRqUqAzKNAJIDw8H7TA7DzpoEwzF6m+C8w/mrOy5E3KWUYrR5wLCdWJXH8EyMQBuCZDPjAWgVuPkHMrUDGAMgIkhy2OYqe2LUhRAZA1VwpQnfLPdwflxKd7tCoUIz6tdsUCCefPr02ecoNKKS8okEpXvvFV5owCn6PkIcIzQaA6MBOxOM/lAGTBeIp2SYVQKBNy4ZCLA/fNBWx01x7bMzZmIX4TyMpVIsv9TklVPqnPDO2rfCSB2BjnhUAUIAWaZ/UXuwsuhFD+9XaHRJTxK7//qGA2Y4H5pM3JCruQdv9gNjMbt7mFuHNZGJ+K2NhU2CbnANvZKHAbt6mphM1Mxb5nYHbdRU/aF4dXv/t45mNP+Pf8M4DZr96jvDxh7/nK8MLasXa8GscTn7UbFjPMeSELxYt25J4vMlpeeTxhf/LeI1aM8zv3xKtH7P4vDX/ieOJ3brBWkt8iRTt076vXWY8Lszlgsgps1YuCTsEiE3oqhOAC+kophLegJ8uEvQo4cwCQLDUZBEOMyXrBYsF5BFYcUAFygcUcgBUJzlqSQheTMavniVdwBrTmY0HiSwBZwFlRgjRggblJi8xPIEwWEDAJB45tAE/L9BKash6WAKEGENqWoE4C2kC4oLhJvlvcL+DIRhEaCwHzmNBlFVoEGFZk4SohNImrmIoDHOQHEGx6aaAvB7QADQh3Z4FFiCueFoK/w2+DVsm6/N7wZM1BCAKRFdJrlnLATB5gBHgBww6gJuvrgHR65LsDSPTJ594m38lbiXpQubOCzniE8gFnwEq7SlkyUcpJvgBX1V2X+zvUowsCaOpZFt4G+e8AATW5ZSSCCMIwgBUHpGUJ51nAuE2eqrkYwjpAeaPUL8BDHgXXA4C8B7R2gIRFlVlASR46AI6+7wOclFZNli8gIBuTqwYdFijLkec60NIBTHrE0wWUm7STIL1L/AOe7xGf2l/9JB4MWXB6FqEYdhDVBLQatHcJBamaiQDVaSCHfpVHCQKmq0CgfKhl2StlpPBQFlkUy7I6km41Z0vA7NyOuv3U92ftNSMNO3nksJ144oX2mpP22o+9rmX/7me6dsrPr9gJb36Xnbj7QzZS/riNHPtD+8HPf80yz71gH3nO7DEGwkPPftv++Mmb7Llnr7K/+sIttrzYpJ+iLDmlC8AqA5V59YcqUFt2CkGD/DTpv2X6XQHoE9Cqb6k+ZIVvUIcOHgAH+YymuSdD/QneNU4qPCuobEix4X5/nEiB8S3zgtp+DTim/3mU36M/VOmjXZSpfkOuFkVn5VUoMvaK9OES47TNc4JetX2R/lBMkyZ9okzbNMpZnqV9aa+62pXg0V4lQoP+qyBlMx0MW2RqwQLTMxZcQCmIhJziIhcCwWsFEC+T/wb9uk27t3hO401tJAVX4C3l1o29IH1cKwSkUWVsaiWmxH3OnQgIE8TXiNNzft1AfloWWm3yJC5A0FeYAWfSVF+Qtb8gcCbIOuu7xkj50RygFR9ZRaMWXQgyB4UsxjnOHCV3l6Lag3TVBoJyrfxoDtFckgWspURIMZVfuwCwqHQ1zmhvrRzIKiwLbTIMyAKLUvqVjwL3pQNBC47PAKnAM4pbjjxo9UHlE9hGAMT58WlbmJq3hUnmN+o3TL5ixJOMRMgzYEr/KMSZT+j/vtKg14URItoLIGv9EI4FpNRtlmdkYCiktBJDXZOHuYkZW5idY5yqvHJpSBM/9cB8HFmY4xxwrkdSUFIxQDUYtemJWcKMzU7P2cLcHG1O3mg3+QDLChwEbLXpLRpKMC9HbB5g1QY4+d4uzMYQYnrzglwLYgBx1KZm5KqQAnYTNjkesemp0PcGzF70bQsCqpdLw/07x3N29xXftk3cM7MGs2vHv4jjK3ZXP2SZt33MvgHBPvs/7rB+JGNHP/kyzj776BELZQDYv+TaC8/aF+/sWyh3g/2J+5XnWy2744v89o2P2dHcUXv8BV3/ht1//iG7/2vupn+S47gwK5iqAWrNfByQDTGxhhGmwBLnFkDbBToEjSUJymTQvFTAWQVlZU3HwjYzPel8KrOxEMIA6ASOC8BsDMEYD84BqwANoFsA6OKBKQvOjFp8YcrKiYjVuJ6LMPECs+G5PYDALHAWBf4iVgHQGrLkIrwVZNnsV4qABMA0hMJySpM8ApSQ1zmEIEO4uOV9YKiNAG8LeCWMEapVAECCv1kGEAGqDuelatGWakVnfW3LYimfPASI7mtQ9jwAK+EQDkxbaGHSctRDg/L3EOo9xc29XYT2MiB5sFmxfYDdgOf6AHBPEIzwSQdkOZy0wMRuhNAUZUnYCqChdLsCdOIRxPZ4rkmZ69TLgPiXKK/ytwjMLQM2i4Bj11M5qNNMGNBKcx/lBALaAIDiqaAZVflNaXRKfhnbKA1tILxHWj0gZxFQ77hrspArr6RF/D3uEfiq7hrUt6C+Tr0VqFsP4at6bTuFAohxICqQph3Ir+5tUM81Z6EvWHKBgYHQFcg5azFB/aZE3/AIJaCrIOEM+JWABsFWC9Bxig/9yKVB/tqCccrQq5Vt4+kVe+2JOUC2SdhvJ5+0ZKe85nz7gR+52L7vJ4/aCb94tY28+W4b2fiojQSA2Ys+ayc/9lUb/dYz9tAzL9hHn3/RbnrhRXvfNz9lX3/uoD319DE7dt1hS0o50iqCA8y8e2NCSVZLACIdmLN8eI52jKIkhS0TWrAywKm89ioeUCtrrpbKUZZ4RlbLNsAl0O0IXCmXoL1X9xz0yyrdEdhyvcvvi/Uy7VvhWoV78+5+Wes9xkGVOmrQDyt8l+VdCmOZuhGseozbutoIINO4y6fp/8kAUCT/9CD9NzHsOwJzFAPaTVZxZ9El38qLVkFKsuSFIvRxoGZhxpIax7RBC0ht0C/ULnX6RIe+2KnIMi+LYgx4klJIXwHG5YKjVROtIiSonyTjMysFLkF9adwzfpJhFCz6qFZ00kBdArjLRYFyYE7WTrnrCAYFn1JovAwQDOwJruME54evZX5ZUmUFDoWYZ/yVI/nflxkDAtjkQpi5Ru0nCyq/ky+5NbmyC+bl3sR9cgOq0be1kiTlI0vQqkyXdtMKjAcIZ5i7pJQIxj3iUTpFFPgcwBeenLbAzAxz2oKbL9R2erbBfcn5eYvOBZjXghae4Ty74IA4DhinAFPlS/NlNixlX4qUrMdR6kkrWoJ8/xVfOeaiHAp4mfmvzHyoubVK3Zf4nImghACyC1NA6wL5j2fIa9ISKKAx2kBtGZqb4pq/8iYXhTD5WZiadVZsWZoT9O8kZUypnFoFIl9x4o0SkrRNCriV1Vu+yKlwwmIB5kKgV1bkBfrMzBzz/0zEAgsJCwG7o+NzNsv37wmYvelJuxVY3XT9/2IJ/gtP+qD74FOW/Tsw+4J99RNPWvnw0Lq7/9tWvvVp++p3RPK0Xcxv2XteBgEdPpQ+aZ/6ru/3fe4p26u8DOPb++Dqc348qxZiF44+ZV8d/mp/9bRdLuge/jZ2xZP22F+9Es5Xy/r03/n+edIOHvSf23TRE3b3Fxx5rB3/Uo8v3WHV0BF7eLWrcPzJzUUL7bsfHNXxrD18IfPVzT66uuOFj9nRUNGOuUuP8xmAdT/4YHsXytc37l2x6iuf+Sc4jguz+QTCGWFeRhDmIrKOTgKbo5YMjFo+Ns2kPseEP+9CNbuAEAgANbIqLFhoZgLtftKiTJwFBH0JQM0EZiwFsMUBv3RohokXuJLLQjxgsflxmx3bZtOjW4DOGSZ+WSQRVsSRCk1zz4I1MhFrAklV4qsQinHAOiUrZMy6wE1DVsxYAGgDohCWuZgsIwGgKIhg5r50AmgD8CS8SLcOhNQoX0VCOh0CVgSpCCXSKVB2XRO0NwkNWbRkuUIwCsA9lSc8b8GpUZsY3Wrju7dYlLKVgIUecSwBmX1Aq0voV4BEQHE/gDoAlNsoB10BMfHIMuspn8C9R95b+RgAmbJ+MenOg3LKlmt6nniAjhZw0pQ7BsDSFfjWcnaw49kBwlJVgCxwp24pU5WyeZGgVRJAPKDdykUBVblAIPgc1Mapi4QNKhnAF0CkHsuATyk1x1mKSQwQjrmyLBO6qgsgSunr/q4UF/LfRIgK3gXCKw3yQTkFsEWEfR7h13AwnSNNWcAzlkXgyYe2ApgISluUtSGFifzJ1aTG9yLKSBrBW0AAS1npAnkdFIAuddsnLz3qY7FesGXS65Uadup/adgPnZC1U0aKwOzA+c2e/P1X2Mk//A478fXX2gm/dMxGfu2DNnL6wzYy9hEb6X/cTnjvl+3MLz1rdz/7vH38uWftNgbDdd/+uj36revtmRdvsI89cKElqYcsgty3lKn9gSuAITU/a4HRnRad3mPZ4Ax1DthGFxzAe9S74F1Walkq5ZKTBAilZEkZWAIinYsJ/a2l/kBZpAQ1KXeLMtZRWmrUzSL1uNyQj2qeOvB9tbP059DcOKAkJXHBgalcB7Ra0irJVUNtSNs6JRQYYowlghMWmN7FWBwHPKYZF7Ou/7ecIgcQcX8ZQC6rX9Eei7W8Daq+S4xWI1z+aYs8fV6+2HJ9qWZpIyDHE0ApMA5rioOzlNOq+il9QqAsUCxovJB3Bbm/eM6SqGuAG301T18pCuQAuwzgVkqgqMoiDkRqU6jgWZbsKnmuMgYFqwIs35oad1ZvuQRkwuo3QSCctADnVYXKA/zkItPU6oriAQLlylMiD1rNqJAflalBvhv8JlcgtUFkZhognCcO2p5nq8whBeLNocTlBLPOkkr9AbUF+rqCQDQeCLiVC30uk/Zio2pLKLQaCzUgXZZjbepMBgBEWWa537meoPQUUyggclGIJug3wD3liSzwexBFIZ6jXHHmmnnqLsw8FLUcbZNgntUKT4E8yVIrxUEW9fnxWfIC0EZlhaXO6JtplIfQJHMwZ8G2XICkXMp67t5OApTL1z7F3JFhjk3TnomQLLozFpwD0nkuj8KSI+3owhz5R0lBgZBvfpL0Y6QfCoYsNB9yPryRYAJZEEHhj35vwOy1AOiDvsXz7q8Pf3LHi/b7t/O7XBC+9JTFgb2XYfZFB6CCxzgA+/m/eNY+/+iTFgdAN70NyHyJB/8hMMuzR56wWx992j712aft1mt8wLz6c7rjBXvmG8/Z5+/y83njHz1n3/rm8+5Z+/pT1iTdsWuI78+es6/+yVN2+AjPXsD3p/xbjguzPDfDc/eR3qfIf/8C/7nPD+9aO/4FHp88aqGXYHR46FrmGvsD90WAGrKjWt586fiK3VHn2if9z99pmT1iH/vaw3akyPP/xHrS8d0MANZskBDaY+GZzRaY3GSzo+sQ4JssHdzBZLyLCXanpaNjCJUphMiYRWd2MLGOWWSWALTmEwEnOMsAa2J2j0UmEaqcM+EZYGeeiZgzEJAJTpHGbpvZs9liPOsxgeaZQENTY1wfI60ZqwFqDQUg04vM8/sMwiUIwAHSKQRXZNZK0VkrhGadxayMIPeYjCtyjZCAB4Ql5GXh1bUO4NiWACb9PM82ALcqQBUPUxaEfpk46zkJaYUQEJqwDgK6igAshGepG8B8btRmgPCpXVssOL0bYTMPyMlyrLgiCAu5Nsxbkfg7gH4XaKsmF4BLIA/BX6FeBIw9QKbrJQAMQDM5z/UZ7lngO0BNqALX3WIcCALEqYMy91QBrVY+DKADwKUEz8cAdARieMFyCLv0LOWYn0JQA4WRacvM7wG4psgjdYni0S7Iyr0A4MYA0RTl89Nu5OZRSoi7GAa8BNMC1SR5BAaA4AahSxlbQH9HeQeKB4CU4hB8S+nIA3ex6QlLzs8gcMlXNg1MRN3ya2B8xpILQdo/7JSZGmBeJs4ieZGFXy4SUnTygE8VCC9RJrVjjfoTjPdIo08Q2MpVIzdXsZ//1017zUgFkC3bSSNtO+HEjp14ylFg9u12wk9cayP/6V028it328ibHrQTdj1qI51P2UnHvmpn/tkzdtezz9nvPPWU3YtAuhGwPfa3j9rfvHCHfen3DlutFgaUtIKQclDWEcxxzgMLqfkJ6hqljrZVf6gmBReCGdqbs9xyZKnM05ezgIEUOrlgLFYAc+KpAY9yrdA4SAemqR/6hVOaAC36ah8FSIqBrORNbdriWj467yuDkTkXKvTPuuqEul9qZGy5mUV5StKn6OP0rTzjIRGYYAztQikEgOkHqcAY/WGOvk9/Iw9ZPms8pkJTgBnjgH7RoT07KFOytssanGKMyBVEVvyOLLIAnwecC67lBpRG4WyQplZxpNCpHcu0W4V+XkBJyzCW87RhgetF+m+FcadVH7nPNIDukmB2CGfyj68QBIGNvOCVMcu9sjKXqVP5tastHEwn5ecKqAFjgmG55ChfeYAzuTDtlGbBqlt54XmtOkhpqwzzV4jPAY3cwxhVvqtca9H/2tR3EcgOjo9agDkoE5FyK+CN0F/pD4zdPFAXnZxGoZ1E2SfNMCAIeKboG9EAkBeYdUqAvlcBZ/nZ96se9Zsj3ynSpe6jEQe9UcZJeG7awoJD4ogJLAFZuXqkFCd1IxedTFjAD5zSnwqMHymMSeo2PD9NeoBmcNZixJWgD0ZQuDTe4sQlIJb7QpJyRLk37owMjCspvAStkqXDynvAwrPTNj85ZqHZSZ6j/xC/nglNj1t0bgqFaI46B+aZ2+PUcWSWdOdmeV5QyzyveuEcmmesz5CHhZAFZoOUL/y9AbOycA43eX3HRrBXXvv0kw4sX4LZ1d/u+i5b7p/6ltz+o88NLzz9D4BZQPZLr7CmKo3venb1vle6Gfz1Q0/YzBHieiUo/N6TtkP5/d3h9+PBrMr+iud8/+A1N4Z/0cefHLPid1lm7bFXAu4QZh24rh7fee2Jzx2zFWS67zP7B/bwhUW75vf83/4pj+PDbGjUypFx86KjgMkmJtEdCPAtll7YwiS6E2GwxxJzm9H8twO1uyw2tw3Q3WLxWUA3NM7kOeMgMQ/0ZQHYQnCPZWXVDU8AdzPEM2Ghye02N7oVwSML1zjxjTGBT1kS4T43ttMmd2yyhYntFpnexbPjCCEANiGQJQ6g0yONYmQKYTgFUExYZo48TY1akngK/FYDdpvAaBtIrAN/AjldrwJ4XeCtB8jpdw+hL6tmITnHBIzgJ39ZhFwyAHhTBwUgUBA6kAWM50rEU0YQlrgnD/ALGnPAQAWwbgIY2cQ0QoV6m9vFRL/b4oC6B0iUgYVsEDgn/7ngBPmeJg9h63tx6wOLgskcaeYCu/l9N2UCQAlebBJBHAGEZIEOWTkxRxsAQJFJyijQjQK0igOBjdCuA055KRPUpcBVdRuZ2IpysNVZ2cvJWeKYduk3qJc+9dAtBAHUeSAHqNK5GLKVWtKWgaOB8gfADgBX5VPfF4HvFeC6B8D0ZeHlegcQKgJ4aQAnRfoCpTKwWgLuEnMzNrt7t03t2GXhSfWBAHAcB0qBIxSLEsIxD1SVkgHAARACDrNAYhoIywAlBVkUaaMmQFHXKgD1IOvi5LaS/dgPloDZFiBbJHh20kklO+U1F9gpP3SRnfC6y23kZ662kf/8Hht5y0M2sudxG6n9vp10zZftV//8STv6wrP2aQTp7yFE72ZAHHn6CfvUNz9lf/HlC+zopTlnPZR1uAHgdD3AXu4NcicAyJYF1tR5DQiSJbwYJ88oWvJLFrg2AKOKVgCA2lpKEIVSRX0JmBqAZJP7BJ0eQFuWkkOcgkilIwu/rOc1npdFvoYSJSVMKxZVQC8DVMTpK0mN0TRwWiY/glkpNrRDddg/vRhnlCHBZo22Vt+tU49doK4NIEuhTNEXE4zBBGM0Tf8oJugf3CPgLkk5cUqhlJ8IfViWfuIiX0VANR2cdAqb2qYO6KldlJ4gMUtfUBtmgN1kgHYUODJGPCmhxFsnfikzVeJtpMm3/G8B5jqAq1UhLZ0LSGPMFRHGdIw4lB/5z5dIPwNAJQAqrZLINUn1rLzVuUcrSlUm0JoUWdLRNYGsFMMC46LAGJeiV82QF6cUMz8wDwh0tWKSlm/pzDhgtxMQA2j5zaONynqeMqUAu/D4uM3Qp4NTUsZnmKv22PSe7TbPHBSaQ4kgzI/ttrnxXdStlGRgU9DJ/BYDKJMApPz182E/vTAAGQJGA4yV0Mw0ZZtn/gk6SIwsCFRRYgIB0qefcU4HAUjgMRKcs4WZCZvasxPleifwOG4xIDSm1SOU2sA0indggQBgE8rUnVysKvTJDIpnHPCV+9c8wDqxa5uNbt1sM8QVA2LTKDJx5ji5gqkt8zIkSAFjTozNy9gw7lbQkpQv4VzI5K4wbbMT4zY1MWrT4xOUR3Ad+N6B2VUrLFC4uhHsr19prf1umB1+v/FPh99fOp61Wy95JTT+Q2D25e/+8Xef/V/B7P/y+Mp3u0UcB2Zf+j48XLnWYPZf9vFFO1Z9hc/slx62IznAtHTsFT6xfz/MvvJ4AhCuXvVZ+8qjR5GXxBNv2Q2/88Tw1/+z47gw6yWAx8QkQgFhFQNOF7ZZfGo9ELLNOpkJa6YmLce11Nx2QGWHZQI7EWpj/jMKCE1BZ2YBkAuPA0nzCFEgEIgqhAEdfksvjAGeuzjvQZD413OBCZvdtcU2nvVW27HxNIsCl/qtBLR6oT1WYRIVGBcA4wJgmJgh7QX/c554SkBlLkC8wKTAuQ74ydKZ4/cUeUnO7yKvu10+2jRKOw8cIPiLwGaS/ERnR53Qic7vsfD0diZ6wBKYrAC6LQSfLMNZ8pkgzQwwIctcRRurBLKAYCXJpD6/1SZ2nmOTO89lst9O+XYhIKmT6ITLZ458ZrhWCI+SLgDB5xxlKwISXmiMso6hDfGbYBaoFdjmue4BAwXqQSArgC/HgWzK186HgayoLZZitgRk9oD3AgArMC4Cg9EJ2m6WfIQo/8JO6hwFZGYbv49SP7PWAKLrKYQcceao2yT1VCDuRi5oAwfJgBcg1MwsAKyAkBdxVltZZBsAlqzOvTwgRroVoLMSJ06nSESAf7l0hK0goQnEJueo5xmgBJhtATKdoVW6Daw3qL9GTtZ8wBbYyABKZYCjSPuozgViDYBQdV2nHerptJ3zZs9+4KSKff+Jy3bKSI1QsdecuGgnn3jATvm+g3bSj1xsI//+ajvhl+60kVMftJHRT9hI6Y9t5Jq/tO/76Ldt918/bde98Ix9+MVn7Zg9Z00GRfvLX7XH/vwW+633VhD+AgHqGwCQb6LeFCEXEVnT99dzDuqdIoSQLwCmskQKWOWmIaAqcU1WW1lD8/SrCtcEflVBO3DUoE/JKt6kH3qyyvO9CXgKDAWJ1QS/871DfE1Z7qlXgWQOmI3RVwPjWwCmzcCELO/T9BEUFNqpJCs8dVZLCfRQVABcpaE+2qD+WuShSR2W1Pdp92p6HggFQOk3TtliPCgUgLgkikmKtpAFtwAcC/yU/5LyRxk0juqkU0ZRlMJW5CwFUPnJAbRSLoMTOxhLjBmUUK3eCBQzgl3iTwOpSkOrKfIlzwFhKp9cZsLTu212zxbG03mAGsoy+cjHFwCqBWAO0JUCDCy3ANUS0C2QrmapWxSeEnkq0hdzjBnlpU7ZS1GNw0mrazznuR/FTnmtUJaKwF9KAJ+LxJ9nvEVQxBcmdpJ3lAbGeZ261EpHbHqUaxMo8JQFCAwDslM7Ntvu807n/q0WmaFtJnYBu1tt9+ZzOW+zie2bbOu562x8xxYb37nFgWcSUMwD5SWUphRK8fzoDgBwp41t32ZTO7c7i2hEkEt9LUzsttjUBHMxZQdsk0BsjDA3NWYTu7fb7i0bbWp0u00TQjOC2HGb3r2DdLeRF+Jh3MUBzhRjUW2ZoT8mqPfQjG+JVX7Gt2+x6Z3bbGF81OUtS52kuDcdR2lAeU4yL0pBj83tcQp7dI75kjlbSmdwcjfwv9sCU3tsnvoIANjTAnwB7fTM9xDMcqz6x7qNYP5vL/nRfhfMPvPbx4PK74rz/wrM+r67TSB61Wd2NazB7Nrxjzq+9rAdhQPcmwo619jDtx96hc/sEFyP62bwiuOJx+1o66g9/g3O8SP2MBE8+8U7rFU9dty3h/xDjuNbZiOjTPRalmYCnNli4T3rLDG9HijZzMS7w5LT51pw9CxbGD3HQpObmeD3ADszVktOAJ+7LTW7zbLzO60cHrNGYspaWYREDOAMC8yAT4CtFAPu+OyFxhEwQCqCKYsQmNl2LjD7JoTAGYAyIIggKiKsc0BzARjNzu5gUidPY5tsbtd6C+zZCNRudxBYHoJghrQz3FsE2HLAWQYojQFwgT0bCOdagvwVgMcaQq3KRK3PzqLMxC0BGphEIM3tZLKWEN6JcAUmgdoM+QiMb2bC3wBEbHQCWlatrCAU6M8EtltwbB1Afo6FpzYDZaOUbQ9CHtDmswfAFgSnwH9mfrvFqLvA6AYUhW0O/PPkV/kvBAHcAOBNGaIqK2nKuhrYswnwpU4zwANtkw8C7aFdCOMx4GQKsJwDUBFCxBWeQDBtX2fT286m7bYioAFp6j8X3Ano7Aaed6McjCHYJdxnaIcJ2m0XdbOTeqC8xNMpyiUj7OA5K2sx9SsLeRMQEOwWgBNZuwRNVZSVqto6PWv9LCBcDBMAMZ4XOHmCFMAwuwB0IUjrAFGvELVBWcvqEesWAoCdbxmW1b0J2DaB3BxCNEOd5AH+UnQO6JV/dpgyFOyNv9iyU04AYEcAWGD25BPidsqJnE8+aCf+4D478XUX2shPv9NGfukOH2bHP2UjnmD2a3bKo0/bf/zyC5ZCMF4DyK7Y87abQbHuz80O/Onj9lv3X2AV6mRubAdCXdZG+fEukLcA7QnQAT7qtykEewYQkTuNglxACvSpFO0Upz0Fb8mFcZQWlBUpJEPAy6LkedxXop49QDJD/8sMQTITGKe8tAvQWeG3ohQhICwPmFWAuYrztZ4BflCcGC+zu85z7S1lpMr9UnSkTArUpAjkedajDdWHPeLNzWucqN3nAVxgFyCtotiUuDcLnEQYAzFARasmC+Oy6m8HaMeBWcGXlE7GCoqZFCCtLrRQVov0mRTjVWNEgCw4ztN2sWnmC66X+S5lLBukjORN0Jxl3CVRDEP0f40lgVFyHmgCrsLAYGhypy0AsWNb1wG0lBN4D07tBOSBKoKAPqs+mAz6dYwCV6CMcn3KoMwKvCLkPTy5DUglvXnmEMZWnd+rKHA52iCNcptmrJeo4wb9uO7clsgr5U2jGCuNPG1ST9H3qCONkyxwm0PRSdGOKb11ZRKg3Hqe7dl0ts2ObrQZzQ+7N9nC7i20zSbqYI+FgNQZvk/v2mwzo5uBVcY+oJ6bp05DsxaivONbzrE929YDpdsA2d2UH0Ac2+5WqOa4V3XiRQF1t1Fsjvlp0uaId57f58eZ36Z2MHftZI7a6eBSYDq66TzOO4hLrgLAK+VZmNwOJO9ybSpFJTo7QfpahaOvUvdx4FkrZVLw1U4Z2lb1FGcODTMfRTinaeeUfkcZUVvMkWeVacEpLlJQpm2OOGfkrkHa31Mwu/rmAgHsd4Atxz9jy6zcDDbtf8IufvQZ++o3nrNn5DawZpldO/7Jjifchq/+PT7Kqu/8/RvAVo9n7bNXVYHeJ+iPd1mrdRfIq+OVG8T+z47jwmw6sBWhtJ2JbCcT2CbLL2wFJjdZIbAF6NoM3J4FJL2FyffNNg/oVoHYFjBbiiDMFjZacPeZlpreZGVZHAGurOAN0FNcwbH1QPDZQNw6y8whZICxRnLcakyaZQAgNbODyfc8m0UYyNfTQ2gWF3ZaDWCuRREiwGVscotFAc4gQBncc56zNFaBtQL5zcxtBQp3kO4unhm3CkFwGxrfaIGxDRad2cpEDCQnJqydmSUIwiYR/AgvBOAkgigwsdkSTN4hIDAwgTACfmVBjZDmxNZzbHLHehsnTOzeYGM7zgJ4AGTSTVKexDTPTm8BDHYR96T10hNWj+1ydZdd2AIM7ARogErqJEu50rPUs4Cb+KPAbXhiI4LlPJfXCN9TCFrVQ1bLyoCBRx67AIiEb2ZOlt9tQMx24tsOUKj+gX3SjwLTC7soC6CTI45GetIpG7XEuKurEvUpxUB1IxDxCIKOCGARow3ixF0E0MsI/gohr9/Jr5QC+VILGuLAQQz4jVJPsdmt5HEHoDBurdS0g1opMXXquJEGeLWUngbOAL5SDBCMy6oNIOQWrFmQXyJKBQpOUSAGhBWBvDSwIQt5hDqN026ywucQwPnIAiBXtJ/+8badOFKw15zQB2Y9O/HEeUC2aSd93yE74YdW7IQfP99GfuYdNvIr7wZm77eR3Z+wkeLnbOTyv7Lvv+8pe/3nX7S3PGVWshcsSjgVefUfvm32m5/4tl1y3/tsUEjSv3YCpIAheZa1MAPECCQ9oNQDzhLT1BnwUAz6riTODYVyaTNdgnaNUfeeLPNcl/U9AyBGaUddDwIGC+P0X9osBfgmpXRRn+GprYACfRR4TNNPAuPqk/Rf1xe1GgFELFD/U7vpMztQdrbweSttOk6YcG2lVYUgbTk3DlQRotNDC/3MbkvI2gj4lGhDHzIBE/p4jvrViolWRLT6IGVSIBgnT1rpEBDLxSdHf0yiQEpJ8lBwqpQvi/KVIP6MFDHGfIG8VFF88kBPGnDyBNW0nUA2T7tm6ENSUlI8Fydt9a0UY05phgRmwJv6o1Zf5unHAl5BdRAQS5F+kT6i/GSot4Lik6KrlQzilDKmFQZBapZ6jFPPuQX6M/Wc51xgzknQd5P8luQe/Z5WfyffNfp6Q0oGcVZps9V2LvO9TFlqjLs6CnaFaxmAMwmoxgnzezZTb7QjeY4C4GHANQTIBnajbNPeUhTDtFWcuo1SlsmtZ9n8jnMsA1wWQ9MoqzsB3w3OAq0Ne0X6Wxr4DOza4pTYIAptbFrzKPVHP5RFOzxF36P/SelIM0/Ksi5FKANsZ+bGLTS206a2bUKpJS8TWnWZcverHiP0hyhtqE29ejaNgqM2KpOXgizx6mPE57txMS+jfGtVR/Pn/BjzE/02Qr0pT2EB9Z6twOx5zIX0RcE+Y0RArL0SMdL83oJZ3+K6CZjrX8v1V7579rth9h/iM8t9O+585X0v2uffQ/z/JDD7nN2njWKvKIM7Pvfkd71KbA1m145/6PGsPfGXf2IPA6Tx4g3fsXnrO1/N9Q37g5v7Fvpua+uX7rL+xQ+DwhwvvGyZ1dsSXnXLbDm6w7LAa2ZuIxMtwKnvgGg1stuaKaATgZVHACUmNiAstlk3hwBIyNqz3coRhC33egiKAqAU3AX0bT3N5nadzYS6AQg5x2Z2nMFEfqYlJs+zAoDXyU5YPzdjLQRFLcrEDBSmEcYSHA2C0q3HRkkbsALEMggkAWxiBiFEKId2Wxs49YKA1fg6i02c69wg8gisFGAXGj+XCXwTgIbQJO+C2TzgV4ruRjgDguRb0BBHoM4BvWmEWg5hHJrcZHO71zsIKPJdgmh250Ygfp2NbVtve7adbbu3vNUmt59pC0zwUYAiTb3kEZrV6ChQt4f8I4Cmz7XI2JkIia3AA0Ic6EtyX0aWX8B8ASAXbDvg3nMuIHsuQH8OQmKTA4GUYAKhI7BvImC7qYBVgIuchPEsdTAvUN7uLL450k6iSKS4niPfCh7AUKd9KuSpRF16BAn0tIQZwkkuIgL6FO01t/s88uPnJTK5EcGJgAcw5SIRQqDOj54LdFFXQNW02nb72QjhdQjbDeSD9qf9KkCwnsvQLgnK6tFmNVm2MiHqXT7GWpoEAgQgtG8+TllQJvKCE74LpOSiIQv56OYznZW7oHiBDLlp6JVru7c27LU/0AVmc3bKCQPOeTthZNJOOrljJ/3Afjvhh/fbyE9caCM/d4WNvOFWYPZe32c2+zk74chf2r/6wNP2U79v9oa/NptBQAaB2TcjZ/7N35r90MdftPEPfslq+y5DEM9QD0CSlsQBSC2Pe9E555Mst4oy11PTABXCvwrklMmjrNf1rHyxtVxPnVO/zYzyDnxMACvUeZB2n6TuZgCaNG0nENMKQ0wACtQEUWgED6rTqPrh6Hpg4Wx3PcH1zOxu0gUAeSbDWJDyVqLOEwCGi4ffZuhXUzvW8ey5znIboT+lAKu8rMn0K0Gn3G7iKAtBlMsg4BXao7E3RvkIAk7GoQDNQR/pxADYKMqeVhVSfM9pZYD21QpBgvElRSqMkinQ1ZK+QLcq6yl1k5UP+RCqo/R/bS6NknZ46jzqQP72fhwz9P0Zyhras8Hmdq6z3eve4pSlFApdnDGTIA656FTjKKDcn5lnzAmmKbtWOuYZs/O7z+E+xs8cUDy10TKEKspuiRBFMZgkfikSC1oZoSwZxc8cUWDe8ELkRWPeufrsod20MjDKPCRFTbA7yTgE/GQJpq7KjMUsfTnH/FHi/sIM41DgyjiKMJbDjOk4bRhmjshRl3Hqb3bH6Ta37S2kqzEzyVjcRV4Y/wBxjL4kl4lSdJ45AqikDdQeXmQS4GSM0H5yp1K7aOWpQDt65K2CAugs81Ic9AYLFJcoSovaNCVrPACepiwh8hGRYsTcKahP0/ekUOcE9JSjTHs6BRfFSCtXGSkcru3Vdpypq5mdZwHJZ1KO9fSF7bTrDpvaut7GNp9NmlIYGM/kMUt95FF4vtdg1l54xi4fvmqr/OAqkHJ8N8y+4m0G/fcP32bwCf9tAN/5NoPn7eHriU+W0wf9txTc/Z4nbIzn/jEwq3wozb33PG2P/e6zzgXii+/386t8PPaJp+2+e/y3Knxnftdgdu34hxyynoYslKzayvUfs6+9ogv6x3f9aULnGvvY/+b9sd/4v+kzW1rYysS/FRCSa4EsYpstPrUBWN1h3ey0tZnQPVkWZzcDVTuZRKW5b2Hy2motoKgRYVLVpoCJ7Ta9+Szbvv6NFth1DpPuLgdScQRLcPdZFgMy09MIGaCyCyS3AZYmAFQHNBvE000BBQiNXHAHAsgH1KqzIgEDCPd5ICoJ6HgAU0X5QRiFR89GWJznYC6FsIyMrWPi5tmArKsIQkE4AleWzAzl1G/B8fUISsAP8Ehwj6xiCiGE3DzpyDokP8R8cAKhhNDZtcUtI2rT2xwQsGfjW2zXeW+18a1n2gwTfBigFrhWwghGFILM5LnUxTkO9mXtDowhABBoSVmaEGDjm0+30Y2nAsmnOSERQfBFgJ2YrM+j59nsVgS7hC7PeEBtSYJClicEYYQyJ6mXMOAZ2gN4U7eqK9V3WODJ9/QsID99nstXHAEvkJUFtxSVNVvWrN1AGHEivGUJlqUrNbeVcm+yrOoFeBUoBMmDYEE+vhkE6NzYBqBgnQUAX1mm81ISFBwgbQPYNtvC5AbABWih3meBnMDEViB2p7N6L1AeAes8oLWAIhAEwgRg49sBsLHNNkMY3XaOc+nQMrF8fLWZTy/hP+3NdXvNa9oAbNZOHlm0k4DaE0aCdvIpfTv5B1bshNcesJEfv8hG/j0w+5+P2chpH7KR6U/aSOHzNnLh1+w1733KfvR3zX4eeD3rKbPNL7xov/xts5P/yuw1XP+FR75poVvutVIuQ9lGyf9OIH7cikCGF5+j/sadJauXDVoH5aIe1crEpLNcL1DvOcZFLSGrG302ustWyvMoZNQvfTIFYDmAFTxQV0VgQf01Q/mTqjcUCkFCijqqoMQ1ksA/UBtGGUzNozBR1xVgo4WSUVHb0f+rcmGRkkFbyOKujYQx4gvTlwTF8r1OahMg7VuWSwP3aGWgghLRkvWdtlc7p6bICwCUo7yenqE8WiEIAj8BIGh661koPOsAoo3AzWa3ihCn72lMaVVBIBkQPOt34DkLfGp1RD7vCVlXafO5XefaPKA6T39dYOwFmQci9NMkdVNgjOQoY5S+ldIYYRzMbj3HggChlNgsdZejP7WTY8wP9F/mpuTkehRGAFtK4c5zbWHHWeRBls/TLbLnHItpNWjLmZYkPzngVzAnEJvYdKrNM96yXJPVNkv6ScEnIKyVJdWRLKqRcX9lJs88VAxyL3NJmXFcQXku0d/LYfo7bRNmzGVRVMrUcYlnM9R9lLjSlK1APdaphxpQWgGMc9wneBZE52jbBJ8nyeMYykdgmrmJNqrE1KekNClMolQyRzInFhn7akvVUUbwzfyZi6AYMm8W6Qdy76oCyGpn7TMoozxWgGBZ7aW4zO88nbngXCAZ6CTvnvoQiq6MECpHgr6YIF+CaMGy2l/zUYD61UqYVpHUHtPbz7AA7Z1mHtNcP7vlXBvfeJYtyAAAKGue1tySYV79noNZDgeHwOfDL73WiuPvwKyO/3/eM8vx7WfsPQCt82eVNfcdTzqg/UfB7AvPOkus4tp0xVOGTu6uPXYrgDwE2B1ve9Lu+92nrMnn+AdWn12D2bXj/73juDBbADzqkZ2E3daIaULcw+S3wVlLMgjAmjaFMVkF+B5DkMjiOrHtrRYcA9iAypqW6GR9YwKPjiOYt50JUG1h0gRmEQJZJrkUEJvlWpoJVNaSQWbKlrLAAYK7CViVmJQFRs5ihQCb33UmQgUYA44iTMQx4pXl1SM/6cnzLLrrDIvtPtOiwGUB4e0hzCW4JPwc3O0+22Z3nkE5BHznARkS5LLmaEkfuCQvsj7Jr3Zmh6w2GxzMTiIYZwA2LRVmtbFMS7HAbRLQSAqq92y0sU2n2W5gVla2MGmlELZVuRkALw3S8SS4EDwJ8hwmSCCECQkEUgoBHxuX68YGW6A+Z3ae6cCgENjj0pFlWxYeWVjzAIYsJ2mEXXAn+SOOiKy5suSSz9GNv2mz1IHcOSSoVD8Z0hbQz1H2qa2n+wrAPIAieACKsgjoJPBQoK1L5FdW1VZKr5zSEu02B75pACtNeZVuis/y1fViemsBQo28q948wLiI0Eopbgk/yqa3XKQR+AnimSHdmV0A+YwsfPKF3MR34ANBGKZu58e22sT29bZz4+m2dd2plAOFh+tz3BcgyMUgS/m1jJ9YKNobfqFrJ5+UtxNHAvaakSpAm+VzCpht2Uk/eNBO+JELgdm328hPX2Ujv3izjZwKzI4+biM5YPb8v7ZT7njWXve42c8ivc578gXb+PSLdirC5/WEkT8yO+XjL9hv3PUly/T3A0uj5GGbTe2QhV+KwBTtTL7Ht1gNxa2dmHcKRhqAEfQtAHJzQFIIoEpOrQNit9tKgb6dkdsLfRZgU2gJyNK6thOgAXhoB8GRxpAHXLXigA+/VePARmw3igUgxXMCqjp9twsstwGZVnzU+ukp4tNS+HbGH88AJ55ABeWvkZy0TgZFgDarAlIlFKKoLOn031piwimgNdpPITdHOrIs0qZ5rVQApuPbzkLBONsBqKAmBLQu7AZIATX5zU9JCQMOAyh+cpVRPahvR/b4MJunn8iaO4FiOwvozAB9sjLPcr8UtyT9XFbYyS1vJY6zqYvN1IPqgPmCoLkjCezlGcuVwBbG1S5byozZIEnZI4BlYJOV6Xc58lZi7Ffo0wnGeYS85Xm2irJQpKwZxnqG7zEAXBbT4C4UX+YOpdWk79d4TqHIuJD7UxV4lNVULj6yUsv6XQYaq3EBLPehDCeJS6tDci8S4MkaLFeGolx/+D06sc7NdSWtjjCPNkinifKv1SYBcYF8C4DTjPnZ7efYlnNPtV3Ml9rYF5afLGe5b6RRWGIoDUpLfvdyU4rR12RlTpFehPLNUya1QZK4VOdp4nV5ph+UUVa0p0ArN3K5KGjFhDwpX0WUmAr3VOXXrzqnj7j9B4xzzXNSTiY2nW5jG0+zqW1nuzYOkZbmVQfj1HlSvtU7N6IIMB8xZ8VoL7mShZjvQuT7nzfMrh1rx9rxvXwcF2bzTE51Jr9BetYW03OA2R6bB5Z2rH+zg6E8QFMEVFKyBu6S0Eao7T4DwbCeiW2LZRFQaSbaiCYzhJPztZ0G4nbJUnKWpSRI+T0nAQN4VRAQHQRzByHRR0h1EMpZJtGolrplEUJoTm881VldY8SZmjwXIbUJob3LmgiFehgBtrDJWuFt1hxeq4YQyg6WJRSAue2nObiQNTjBJJxf2IJgAeAQOinyJl9bCfA44BRCUEeYhOMIheDYeW6pU9+TsjY4oYUw3nYa4CvI3W4Lu851m9G0nChLb4Y06wicLvDQBRBagHlNVhwEieAyIYvkDsAcQVUOjiHUEDQSlgioFPWRR7g04lPAxYRrC9V/Kzltjei4D+/kQ8u8gt4geZUlRBay6Z2n28Kes531z0OIKQjolecE8BqhLFHSjAEazjK1nTqdoi0QbHK7KMoNgaBl4zKQpM9F6rEgWAUmq+EJhO9u0vddJGTlFswnAFJZcLTBJoyyMQWQzwPvstzGENYC2iyhiDAvUE4tpc/IOkddRwDWAHma2X6uTW1fBzBSt5yD/Ca/xzB9bWLrWYD4GRbZvcG0uWhsW9n+3U807DUnpu2EkTFAVv8AlgNmtfmrYSd+v2D2iI385DuA2Wtt5D/fYSNvvd9GdnzSRlLA7MG/tpOuf9Z++AHg9Q/NzviG2fanzM59zuznCD8A4I581uzH7n3aNl76IUsEQgjlXTahJXtZ5AHZhd30Z0IlOEHbTlpijLaQzyP3TG492yYR/DHAIkf9NiLbGUuypApg5CcuyNAqxiiAuRNQO4dwFnAkVx6USOC0BizVBL0L9BH6twNgINYLbuG+zVacXmfVhY2u39ejO6wDFDcVH3BXC24mbLMqdV6mT2ks94HZQW7BGoIaFKIS7degnQVXRcZscU4KmCBWfrXyv1VfQImd2mx7Np9muza+lTrYQBvT/3hWbkNzO053MJiQZZYxHxdYTTH+6Rc6y/2hCUjLopihbwRo8ymgWG45E9tPpy7PoU/qme0WpR/NAXEhxlYK6CwAguq3ctkRgCVkAUYpK8xstF5qD0rvKIriFgez3fgO61H2Fv21FQdK6csRuTURMoyRImXKMSYS48xTu06zua1vseCOMyy47Qzyutm5SOmZEspEkzlBdVIR2DFu5XMr14cI6Tu3KBSKGu0jVwS1R4axKBcCrXhoHhTkxRhrUpjl/qP5T0q4/PgFt3kpiM7Cy1zA73o+Tz1pblB591A32wDH7eup83NOdRAp1x5tBBVUhgjOB1jKuizpkxrfKLfUo1Z4Jgi6T64TMca75oocc1uauJMEuV1oM60HqOZQWjJ6njbWPCHolYW+xjxTk/86fScyipKx6Qwb23CaO8/vXM/8wrhHIdGckmd8F6U4y91lkr7D2I4yZ4epq4ltp9rkNr+d12B27Vg71o5X6zi+mwETbwPNvJOYtoqWjEfPs+1n/pqd/sZftA2n/VcLA3dVJsMCQi/KBJ6Ykk+orFBaZttgqbH1lmQSjO4+C2g71VITAO38JptHiASY4GIImRwToROiCOZmbJe1IxLeW5ww7iUmrYiAS01sZdI812Y2AY5MijkEhodQqiFQGoHtTtjXAINefKctpkZtMQlAAgNNALXhLCybSRdhwbkIvFYQPhV+KwigESwdgK0hEEaIlZmQK0zy5VniBETlEyyrcRphJ8uQLDoSZlEEanDPGUDLWxBg5znhLrCUS4Csl1oqTZPPNMIvB9hV5RNMOoMUYEu5yrImS7giZJsIjT4KQz2C8AQ8nCUcgdyk7vvpGaAeoOW3pixnCBcJDi1ZFt1yqwTpVgBPrgSUMyALFnngmpabJTDlOyv/YS2ZZimjLKz5uV2AwijttclmaZ84+RVkajlQS99RhHAIIE7Qjh51WY4i5BH0ZfqBW44GvlMIb9WHFAABbE7+grLozaIMIGgXgPowwB4kaJNPURY/AS2CXK9xk2VH1u4gUB1HCMrKNwMASimQEJa1SVAg14Uw5Z3acqaNA1OxPZstNTtu604v2Q//QMBOOWEGmN1tJ43EAdkCn+sArmcnfN8BH2b/zTU28nPX2ch/+S1g9kEb2fRRGwn9kY20/tJOuOxpe+19Zq/9zIv208Drmd8iPGv2y0+b/RRwO/I7Zic+ZvZvb/uKTXrLFpvTa9fG3RsF8gB9RkvB1GeFusyNb7c9Z73Ftp7+Rjv3zb9i577pv9r4evo55SoCE03qUIqT+mJ84hyLA1WZOfoHYJamfUI73mrJiTNRrLYASihjwFpNsITCVpg5F8Vsi/utirJWnN+IAkT/5XmNlxLgWmbMlBg/ZSlzUWCLsVajXcuEAvVZpc4H6WkbZFCIBLcoRE3Gbzc+7lx7NBby0xvckn2ecaV2qur1fPQ5uRkIkraufyNgcpoDV4FRAIUlABBmKYP6bQtgLRF3jvJmpgFU+n9W45U+KziUQpamvQM71ts0isnuDW+0Het+Hfh6K4rmWbYA5EaBf40djTO5zGglIUw/iDCfzKOMjp37G9x3GpC1xUF+ehxYZW4pUwct5oA2gCtXjjz9Zm7TW2x2y1vpTxvdOEgQR3ZqPfevs4zqn3pPMHd5ga1OeVDbZBnPcrFqALLy3dcqSHKCca8+vfMc5+cvxVerS1IY04yD3AwKHHPdNGC8c/1voIxRL6QllxAt10vhDQDoIZVh15k2S/5lfY7yu4KUa4G2LMsec4+Uw5md59nYujNsYt1pNg5E7jnvNPdWErkmJWhPuVLEUAA1npNy25EixTM7znqTbTvjN531NDZOm874extSjKfgjrNtingmaUsptXJxiY8CnTvOo03OcStdcZSVGCHHmC7QljIEhPgtuJ3fR1FYSEcuBdq4K1cu1Wt8Yj2KCPMI7ZQmb1K+NQdF+a7fYq6cm9Zgdu1YO9aOV+04/gYwJvh2XBaKUQey4xveYut//eftzDf+gu1c9xuA6kZndWwCKAlZWqfOZhJbh2BFwCJYStPrrcRkV0LQpcYQAONnWh1h3IoAisBdaXYjwLbNXevEt9tyZo8dKE0hbHcDtdutF5M1E4iTJVLLnTMS3NttJTsJsI5aPwL8AtxlhKqHEK4tbLJ+bKdVZhE0TKDlqQ3WlFCiHDWEXiex2/bmJ20lN2XLyXHrIYz6xLefzwezU9ZHmHUTexDsu8j/dsoOUMRkvdhqRfkMz25AgAKJgG2GuHOAXm5ug7PuyoKppTz5NyYEYYD6AoJtbutpFt11FgIUSACKq8RbDwGF5KsOVGuJeH9hzlbyc25ZOAe4eMQnAK+TvxZCuQRUZBHMGdIVRMwD9LMARXR8vbMCLWw/w2YFeQhKbcrLIRDlO5ie0kafzU54jm9GqMsFBHCNAgjOpw8wFQjLmuQsr2HtikeQ8ZzcMOaAq9QsQpayp+a1OWezsyrVaZd2HJgDcATWsuTIn7MKfGvji9waCgtafuUzQRuR5JYidxH59mlpV8uxclWQUBa4yme0yrMlzhKEOQBAmw1ljSzRHinALI6ylCX9LOlGxyftv/xy0n7gNTNA7A4AdisgO2cnniCXgyXCsp1wygU28q8uspHXX2ojP/tOG/nP77aR3/gQMPsJGwl+zkYaX7GTrnjCXnP383bCh8x+HXkYfOZ5G3v2efslYPYnv2Z2wv8AaB8n3P2MnT641lKJDG0x7XwoSyg7FdqyAviVgIXk7k02ee4ZtuHNv2bnnfrfbPe6U1HkqL9xoB9IEJRm6UNyOcjPnUt7a6kcqESZq6HUlOnDLep6MTNhg/yUrXhzKD9jtpyir0ZRzAKb6JvbrJ/aZf3ELjtQmLTlLOOP8VkGetMoINr4KIWxTb0NCD36Ult9n761mJ5AOZqk7Wg/KUfkv4ri1k9O2hL9f5AetwYwqDqX600F5UVKlQBU7TQLoO06783OnSAEeOZpwxxjODO5nnpgjDFmZXHWakmevHQ1nuK0Ke2YBdZqUo5p4xTQF5TPLZC685z/ZpvP/FXi1MqO4ExuOMC/FB7GQNCtptC/N72V8XS6zQGmU+e9yaY3vok8vNVCKMXx0TOAMep69DTG5TkoiCh2jIXZzafa9tPfYJve+p9tmufCu892SkOHOu9HCUD/InOLALKoMQ2gTm59M1B6FgoTgMxYkLKdBh4F2HITCI2uA45PR2k9lz6ucbbJkuNSLDX2ZTVl3Es55DmBq8aRYDXBsxkUySTnMHEsoAAs7DyLuWKTG4+CvQx1qfmhQrxl+lWBsZCd3EJ9nWfBbcAkCkCC71IaNc6S41uAS8YR+UsSBJrhXRtsz7o32/bTfpP5+gy37F/ifrlmJEkjQn2GtYIjNwTaVAqpQDWwfZ2NrX+TzdC2AblUUXdyvwhppWk3v6NkxgD5POXKAfVZyirgTTIfyeod2n0mz7yJueh0136yAmdRDJLUt+a0PPUrV481mF071o6149U6jguzEo4Ct/ycfFHPsvlNp1pk12lA6zpnHeoi8PrAaDu4EYF1DuC5wfalt9r+3E5bTuwENDdbFaBtzm+wTvBcAHKb7cvutsOlcQTxmC2ldtpKZpf14loi3GpLQOxKfo/tLeyxlTTnBEI2PmkdBE5p3l9qbUZGSWPWlmTF5XubCbPJZNlcAKyBg5XkbltEoC4GttlBhOl+7jugdJI7bX+WdFN77ILMuB1GsA+AyUUE977UqO1Nj5GH3VYHGlS2HNCRGD+byV6vzRF8SeAApXyuArdZBHiBNAsLQB736rVlefIoq0YEQTgHPM6c9xab2/gW6k6bTuQWAcQA9iUEi7O2AS9yjegB0yUEag5hqpBHqGkZ1QMWJNgkZOVaoXf6aqlSoCw3i6T8hvecgwA7G2Vinbsvy7Mxd89ZTnjPIzQnycvk5jcjqN5i81sFWGc7a3hTVqdZWYe3AiPyk9xmAUGy3DjkU0wo0IbRqfU2PXqmzY1pF/0607tp3bIxoCPfQQ9Qki9nQdZu6jSKEJfQ1E7wDEqILDIhIEUWHNVRapI6A5g9QS9p5oBT+eq14uOA2bh1UhPA1E4r0Y61GPWKglQObeLaVtIVbO202FzUfu7nMvZ9J80Arj7MnjwSAmwFsz07+YRVmD0KzL7NfzXXf9E/gN1nIzs+biORP3aW2ZFD37ST3vWM/cTHzd4AuE5+6wXb8s0X7N8Asj/1V2Yn/6nZib8DzD5g9rNX/K5NtvZbuZCyagzYzM/bgfK8LeenraGl6DFBzwYbXfcWm958msX3bDBPIC+rIuAV2QNQjaJ0jJ/uFL69xTE77E2iUG21LuNsgAJ4MLfHDhWnUO520D7bUbLG7G21gF3iTdtKbJstM1b2pRhDuUk7AuweLMw6GMsAFZFdQAfA6c1tYizssAOMhb2cl2mj5eQextkea8jXE/CtoVg0qPPywnYUplG3karDPR3GR5dzizZepD2WaeeBVhKkxEmhQYErA++CrlpgC/PDeqB8I8+jvNBGiel1lkCp1YbHReLZDzy3gLgK/Xk5MW57U9PWBtRygiDmF1l1BccLu9bRbygDfTew8zSXjtyO5Ecvd6UkSluKPpVGSU0KEAHG4JZTuX6mFen3Ood3vIXfzuC+s1AszrLAprcAwKfSFm8mvAkYPI320Dy02y4qTdsFhWnyA9wL2hnTnsBc/RvgzMpyy3jPkZ8k4CdAi43JXepMIPR05yoVZTymGINxuZHMbAFMN1CGczivc5Zejcc080SKPBfcqhB9mTJr/Mv6mybIIhsA6mcZlyHmiSwKm/Kh+aFKPXuycI+dZwn6laA5M4ViCYSWGDdym8hLCaIN684NaAfxbQJMz7GZTcwVu0kTkNXKWVJ+vAC4YFoKsTYIxuif/jxBnfOM+uz05tNtEoVlRnUn/2dtott2Jv0XRYA4spQxBaAKwGdQEORCpnxprgnsON3NU9o8Jqt8mrIU6Iu+srDVKehrMLt2rB1rx6t1HBdmU/KjZLLNM+lqJ74m+FZkoy3ldtnhyowdyiHsIlusPXuWtefOspXEebYvvt4G0fW2GAU85zZYbeZsq0yfDmyeaYP4RsB0o7UI3TjPReXfyqS9IKvlWUzK660eOQ/husmB7n5ZpeK7bBDTcuhW0t7qoPMgILoMACwFt9g+YHqvrke3cH2XHQUOLi/N2OXelF1FHq8oTdgV5T12eWXCLuPzJend9vY8n/NTdgFxnU8ZVniuAkikBawInxgAO7sdEN32Zpvc+Os2ve03AcnTEbRnOqAtAXipiXO4X4Lb9xOWj58sGTNb3sw9ADCTuYRujEk+AQRqYk9Rf4JZWfI8JvYE0JscPwcgQLBxTwIBrLouAQJl4EZCvw7MykUhr3tmtEllh7PYNuXXBhhK2ZBwlMuFBGBccRJXkvykJbwQrlEAJ4dAlRuFR77q3NsFFHooBm3ObXfeY1WETmQbAmkb5UGIOUGF8J2Qheu837TtQPFuAEI74/W6Lv0xRALBGyadEOUQbKfIZw4FQxbjCADrB71VATCQtRkATgKzAQSlAEFLwW6jHmCbnfJfjSQfwjgwo00zqt+5rW9CSJ7Gb+tRGmQd32WToyn7yX+dtdecOG+nnDA2hNk5Pmc4V+3kk1fshO+/0EZee7GN/MRFNvKzV9rIf323jbxZltlHbWThj2yk9hd2wuFv2Q/e/rz920+a/ac/MDvjL812fNNs3bfN/r+/Nfuxr5t93+eB2Q+bff8HnrTfPHy7ZTpt65Ujtr8UtKPdjF3aTtsgMwOoyN1mve1Z9yb6zukI8E1A23kogb+JUvNG4OEMgOgMy8ystwZguki/O5jdY+dnRu2i/Bj9cTfKFhAK0PYi/z/2/gJKsuNK90ezW8zMltRSq5mru5irMqsyKyuZqZiZmZmZuRmEtmTJMo95rj1GWSZZtiTLsiVZlseWaWx/79unNHDvf/TeWu9er3X9Xp21YmXmyQMRcSJi//Y+O3bo0JKZjFEqd7Ns0zOVDsJuApWvZAzxnNFyN6HWprxNyGMb8yZHwJkYooBIMZ9/E0FTQLiP/3cTVOvYlsQvVCIECGxkKH6qBEM+3zLWdzHbZTGVq1oqVy1U6lrYxvp4Xn+Bk/3QiXYqp10lZnSVEZCpbPaVW7hPXHYS0VyoQyv/K6NSKzBb6IlnG9dR4aTiSYDupaLTX2TFaIUHAyXsu+zXkm+ZwCX3zSUYFYm1T/GxTUIh+00RFT9R5JqYj1q271qBO7a1ank7w7LVExZrvFoq0qloJ7BLeWupdIv1uon3bmSfqeW1xULdmGlAFa9bz/bXSQVhgHmZrnZjttbLTx/z5FIAd7jcpSgJ/Sx3F59PT4EBHbxuG8G9jcpVC89tokLVkEUl06/m/ROZvxTFmt7E+0g/rc9ivjjutVIhbuH3JgJ+i7hMZRuZ5E2QmcmkvC2q5vFiKU7XRSCNYJhjiiEwcqxgny0QZZB9tdDB+iDMlrNfyNuUQiqG2UYqmxLDm32uiHUlY4n0Y/GLFj92sbYW2qksU5mUiXCiTGUQVLPEEsw+l0+Izee+XEJsQB+hAG2OlfsJzIVUKDIIrzkcywp43wIq5/lsKyVsK7Xsq1VsQzKm5DEJ1Gfx3GxTAq8lE+1kjgHbFpWqbLbJLI47ee8r2RKtRgB+C2a3tq1ta/t7bR9smeVgXUSwq0hLQmV6Ej85oGVr0FTIATxPj1YK2y4O1l3pGvRmatCXm0CwDUVzIJpCQ4uOTB2a0hJQ54tBuT0cFbZw1PviCFTRhLVoVLgiUe0mxHoTUM7PclcMB8wECp9kdFOwi5Wqm9cZoqAcraDAr3ZgqcGP5boAYdSB6VIrZkqsmCo2Y6zIgClC9kqdB+uNPKbWhaVqO5aqbFiutmK1zoUV2VdpxwLBYaaUqcpNIDcTpOKQzfvbU07ApjsOe/IxOLRHCaZBcGuOcMAOg/gyFjhilVeaJSJoA1rlM4dCJYspm4JBXsd5tCEc5CM5eGuU12sFBDLFIkuBI98rCQ71Mrkkx6J8L+cAX014FUEtrhUiFOWzNYdQQyHbTgHYIUIwn4BB4S8uFv3ySpgwUE9h2CBWPe7vEPcImSHP69TwuiJ4mjKNrEcrj+V5BJ9+5VwnBglC4lbRmUM4ybcyOagkiBXcjkpnMp+L+PlS+LgJxxRolvjjSIk5htjQA4iPOAirPhIGTTBS4o/AkhzM+iK8GSLgIeyKj21NtkXxm5RoGGL1lUmCAvZida7w6ii05bUlYZZCVfwulZi3GRbkKDPZo6CLP4ZUXttFxUAmCsrrS68uGGmpIQQe1n2OC9rEEtxwYwEu3+bHZSoPVCojP31MudiuKsYVl7cTZgehupkge9csYXYBqsOPQRXzScLsl6EKEGZr3oCq97e4cu0vuPEzf8OHvgkc+Rlh9l0giTB7/5vAFW8Al71OmP0W03N/xc1T34KhZxq9XVXoLfFioCqdgOdj3zASypIIsWxHGpmkqFb8XaW8YkHMSg1n+WKo+EQik0Bb4onl80uiAmbBfLUXq/UEqwo7mgJqtLCvNbGcrWlqKmo6jFGxmyyxUIFTY6SE32vcCvDWSbg3sYIbognLkbxPNHL4vcgcjYZAEo+xK8pfPfMh+XHLBC51CGxJ4TDyedrVrFN9lGIRzLfG8VqEUAEjwmELlYuhYhemqwLsfy62ISN62Ff6qtieysQFh885Mx5VmXweVEAr2GezHdGE5HCCaSzaCkyEQw/z6yKsO3gN5qVQFCi21xyCXt6mn3uBg32PyuCm204SoYqQJr6X3FdO6G6k4rUJrAYCphGdTH3FNgyXuTBYzGsSsnuZN7lHf5GNbViUYKvyBqaf9xtnH58ksI5QeR2XVOFgncvxRkyyvmdZl7O1fkzV+jDfwHGlxocpKr2THDPmGvlftYfnOaj02jHE40crbZiqdhKCHZgotbB+nJjgNUc5pgwyX4M8bpDKyYDkk+XsZTl7+Ywlb8PFTgwXsi6pkHZRYZD+WsUxoozlrGa/FStwCctfScU33yS+w1QSCYlZFoIn+48ohfLmp5CfJfxdxfoq55hSSwWyQ8YUPmfx9RW3JPHRLpE3IITJCvFbFrcC9rsCcTGiglnLvlnloRLD/YWiTPCaVeyr9X4T8yIuYDpUsG+KW0EZQbRMsRhrUEKluIiKchWPkXMKqPCWcIwoozIiLkcS2UUmwMrbn1yOh/lyfSq7eYToHJ63BbNb29a2tf29tg+E2UxzOPz6E8hyRKEsi4LGE4Ncgmh5mgZl3jjUeuLQn5+CWQLiPAf5yaJkjORGY7IsmcLXjEnCpgKZ5UYKahOmClKwVGEmWFJQVOgxXZ6CmfJUfjdjkUJlroaCj0JvgEJqkAP/TE0aBQkhVgCUkLpS7yeopuNkYwaWK91Y4PUXy2w4WevGqXqmBjfOtQZwlmldBFGZmaCbiqlCPeYqLYRbB1YJtBuNXpxuz8D53lxM1XtQnUNg0wUhMWInTIn7KUBCUJWRiCYK6Xp/HAVFElqzkxX4qE9PRk+RiQJfi3yj+OyFKcJYLBnia5dDgZ4nrzqdcSikcMonIGQTduUVYxGFjkR0KCMIi/9vjUzmSSc8iPWHgk3KLNboHgrjIcLmKIWvuEMMElT7xbe2SASxk4LaTqEuob7imScNz6XA5L4uQms7haj4EndkUYAW2DFWQWFLeJ2q8mGmNoAZKgJT1RTeTENyvRIm3neszKMI2t58ubadZXZQ2NqYzxSkEYJSo4/hxIEHcGzfhxAfuR/RwY8g/PiDUEfshS5yH9tJqGIVLg/oUE8Ykolubbk2tOeI9dCGFvFRlJnnAidZUn8UvmJlJqi3EJpqsu1UGtQwxIfg2KEHEHb4QViTQhRfvEwTYdAcyXoMJfSy3nJ8CA+uxPXXFRNeMwmv6YRZMy5XZfB3FlMprryiGduu6iXMSjQDguyD81AdugBV+HNQ6Qmz7hehynsJqm42/vW/QvUkcB9hdterm2G69v6Kv39LmH0HuI7ft/+YMPs5gu2pd7Gz5xlUDw9gojkPbVQCZBKez5SAgFniwkrs0kS4dAJoMqHHpFi6PElhsCcFQxt7AOqoPUgOexgB7XG0ZKUQzGwEKQ+Wm32YLLdgtJCgRXAcLzFihm1/sdrNPuPlp4t9zYbxchufDxUZUTLd4saTijov69JnRCu/N1KRaqUiOcBn20loEp/1tBSCbOwRmOKOKpO2ZAZ/pi4cmVRGcqmIVLkS0ZJh4LPfbDdDBdL+PJis9CnKVK1EWKDiWp6hRmkG27YzkopdmNLWc5l8plAYYvbBHL8fBe5oKl4GDFV60VMglsgUNDKv1e54KqyxqPLLhDheh4pyviMGgZTjCLD/BahI5vI55zOVsC1VEtga/SlsywRptu2+fCOVMfYDccUoIxiWEpIJjr2ExhGWVSC2NUOHziw999uo/BJemUYqXBxDCObsB2McT/rzdJupQK5rwli5gzBLZaKOfUJcnNjfB4r0CtguNmUQRq1UMgl/gUT2CbGMW7DYQAWE8DunWM1dGCsRWLVjmMriaKkLowLWHCvaqZh0C2ArfdfN+7JfyERKPqMylr+KkNiaYaXS7lRcMcrtsXyeOpZfXCnUCBhikBR3GDFR+2FIOEaFJEx509JAYG0VeKWiXE/FpZV13CrKMBUEefNSx/yKK1QBobIhYECDl0olIbZC/Pap7PZQmW7icTUugjRTnbw14Rgl/VOuXe8zUKmlYqv4+vOT41WZJ5HPJlqB7mqXVoFeUX7r2Y+reU0JZSaRaXIJuaLklxKiy9gHBHrFgptl/L8bZm9adW+lrbSV/j+khs+s4Kc//enfJf3vbh8Is9muGFgSj8CuPQav4Tj0sfspDPeigPuLKZTq0tQcqFMwV+3EKmFytdaE5RotFiqSMVemI3CasFZv5X9mnG624WyTDeebrfw0Y6lSg+VqDTYaUvBomwsXWik4quzoy9GjlgNrAwfHdgG8IjOFhBmDBalMFFL5BsWaIvC7WOXEHIXICs9bq3FgUaCa38Uqu0zAlbREQF4gAKwTdNeYx/UmL04RGi725eBMdzZGapzIJ6Qnhu2ELvxhZBqDKYh1GON1xissFJKpGCrUoY8CTqzEvczDWJkJXZlJaA5oUEmBVCgTPiQMVUoIAsYTcCQdhivpKNzJx+ChoPYbQiFL+4pVLl8EuD2GgiYelR41mjP06MhMRVeWgeAqr5xtGKOQHi8nxBJYxyhIh/LNvLf4/VrQzX2dGTyeddORYyDUiNVKhLcTnay7FkJMNyGyP5/Ck8cPUJDKNScJxtOVHsxWE2oJshMVbpbLpvhVDhAUhgoo/AkvU1UBArBPsdz2ixWJQq+OQqrQlgS3NgKmhONsD8GwqIMoWEORa4snDEWh2JqANoJTn0BGpZ8A4VWgSF4zD4iPcrkLk7V+zDZkEqTTMFHlJ0QTQAghw8zPYHkaGjKtkMgAsjBEmjFOserWZ5hQxzqqp7AWmGorcaEuvxh7H6nENVfl47Jt6dimCjBJNINcJgFcWTihFtuu6YNK4szeswTVI2cIsxKa61moUr4Ale3bUBW+ClXnu1At/hmq83/FHV8Fdr8GnHgTMP6en0w3iKvBu8BVlJWqLzI9+m+4fPS7UHedQVtdKWoJIV6TGqbkGJjV8UiNjYJJHc06ikWGVc360cCdFAFbPGEvLgjJ0YeRFH0EWiabJoT/J6CUkNecrcMU2+Jak09ps7NVBKxKK9u6Q1HiTrdkKZ+TBN+JclH4WNcSuYNAM1TsZVvNxHhVpqKUiBVR3BcG5ZV+gRMtilKiJYAmKi4ug5UZGChLQ3uGBfUutkE/23W+hdfwYLomgBUqiytNmZiu8mCA+xs8WmVCZTHbrVhdSzxijYtVrIJZBOI0ASzCSkZKBDL4u9Aag0ZCpVhJW6iwCWA2Z0hkBcJgWjLbrIF5Yj8nIFVTwatwJyiTRZUJcMxfPeFJ/OCb+NmTS/iUtk0lrUHcb/wyoVQsmZtuB+KP30YFp0fCcvGa5fZo7k9QYF789tvZP8SfvoNKQ0eWjsfIJDoCL8eR7kL2JwJoR6EZreJCwD4l+RI3hTpfPPtlCiE1oFirswyxcCcGIY8Kfh1hXJTJPvazTioPbRyrGliOxnQ92nJ4LcJ3F/trLctVx7pqkLIQFJvSjajj8cUODdIN4fDpggl4kaghANanSRQV1hGv06K4Scg4mMpy6hV/+GwCrOK3SsCtcnB89OmYP4NSr61KuUQh1jMPrBfWq+L+wLoX14om9t8Gr47KAcccHxUEAV8q0HWsxwpbLMpsfF48TspZxGPEKl5AZaKE962VSZjMUyn3V3DMKhLLOf8vEks+k0xebGCZysV/3xituDLkcn+mIRKVVNrF77dMfHQtCQrUbsHsVtpK/9jpHxJms6zRyGEqdidygIpEiZvatitKgb36LGrkmWq0ZKkpJBIwmE84rTVgrSEV86VqjOfEYbIwETMlGkwznW2y4nwTQbNCi6GMKIxkR/D/KEyVxBB+tZgpTUGLLxbpScdhizvKQTGKg3yyYmXpojBs8yeiI1tDoaul0LZhulpeERI4xXpVYSLEWvmdAiZPi56cZPTnain4ub/GRpgmJNTamC8DZsqMzKMLK3UEhgorr5mEfEsw0nVHUWKNIBCmEOgcvKaNeTJhrtKMyRI9RgtTMMF7TZeamV8b5vjfdLGBAo2COkCwFUFLKCl0hsOZtA/epANwJ+yDK/EAAvoTyivy9NRglBICqp2EF5mIQiE0VmTHJKFO+SSEzFU6CeoeLNV7ld8ThJKhAjN68ikgKZy75VUrhV1PdioFvYH5TYX4AI4QFvsI/b0FEp2B8E9BPVpi5XMx8XxCOX8LFI8SbEd4/HCBWKhEIBsIswYMcZ9YlMYFRpkfmSQ3WU64YRotcvG+dj5rixLpoZ6Cs0H8AHMtFOpWtKXJ61Rek3kYrXRjotpLWBUrmJ2Azv0sx3SdD/ON6VgkKC3xU6xaCyznTBWVjTr5nk7YTiPQZWKkKh0D5T5M1BLOavwELzs/PYReD8a4ryK9FPffXYYrr8jFdsLsdgVmPbiCIHu5qpIwW8XfDVBdTZi9kTB79yJUu05BdZgwG/4MVNrPQOX8BlS5Ypl9C6rl3xNS/4br/gm4/wfAQcKs5Q9/Qwxh9naC7M2/Aq7+JUH2G0zP/BWqqTdwX/kTyCnvRlFaBoyJcYgNPYbwI4cRceQIUuIjYE6Kgo3wb44LRnII94UHITXmBKJP7EHYkZ2IO3EAuqgjsKqDqQSdYFuP4TOjolbJOuRz6yBwtbKP9RQZMFrhoFJlpeJhJrjpqLwQXApMSrQNcQmpSzOiNdeFplxZpMSIGsK/LCBQTmWp3K1FGWE0356AcgJNYxafV56Lz81BgElFvSeZoJWiWHB72Tb62Q4nylyYr+WzEL9cAl4PladWgkkHlSV5K9FXbGXbY1743MutBByzvBrXEGoIUwJgbkIq711FmKt0xnK/vD2gopVGACNE9RE8+5n/XrY/cR0Q6BSXAXkTMVBIAM82E8B0qCIs1xBw69i/SnidHFMEAuLGw5RnikYZAaueYNmSJlZlwiShtcodR5hNVIBT4LnaFccUj3IbAcwUjkpvAsqYr2of80vYa2I55He6+DUzFXK8q2adVtnjCYDJ6M3NVl7pB1Ii4Yg9ikBSEMEtnqBoQFu6CVXmeBSnUpkj4JW6COWKy1ASIXDTp7bWp1byKaAqPtQFPMaXGgYfYTZgikQGx7k8h/iVqqnUJCo+vx2sq+4cKqus+1YCcgPrrT7A9sD7dWXaqYTYOOYIpEuUCrHIbiqxLVnin5tCwOU+7u9mPcs1mgmzorCI+4pAbw/HAVGe5Zm28dhqt9QVxy+2k1K2kzKZsOZUo5r7GgRyCb2itNezXKLUFFF5L5TJavY4KiHyn5pwy+dDpdaXTAWX/xUSaKV9dlChrSOolzrUir/+Fsxupa30j53+MWHWwMHdFomGzGS05uvQVSAWC0KmNwoFluMotIdQmIZT6ASj2RdCQIrDYqUea5UGLBTpMZWXhLH8BAznxmCuJAkrVRTWxRQQgQj0BcIwXRSHubIEzJcTPIsJrBlqguxBCv/dymvlDgrvCQLWsLxGFwtEhga1/hgK6AgOtOKXm0S41aGfgDvM+40SLkeLUzFWkoopQusiAXejzolTjW6sEFwnCbizPGa5ktBYRkgUC5HE66QAbPInoS/fiqkKlwKTk2Vm9GUkUpDHozUthkI3CeMVBNlau2LhXSg1YqnSxPKaMV9pJSRblWvO8D5DzE8/62yAMNJHYJXJab0UNAMCyoUmzFKQLxYZsVpmwUaNG6vyOrTMofj/DRSZMU3AW2/KIOD5MM7fYwSI4RKZLEQ4JHAM5hhYp1Ze00BwZ5l57hQBcowgNFxMaC00Y0Q+eW4/QXWA1x1VLLwm9GTqlUlz/YSIXpa/h8JtmMfJ/UcJoyP8HJLXuISn4VIrJsrFquskYBE2SpwYJ6zKfaYIOxMVfgwWONGTRRgptKOP95WoEd35qehj+QaoXHTkEb7yeD/WTT+vJ1A+SkCfryXE1rqV1+hSzpONmVQ6MrDSkImV5ixsdObgdFcuNtrTsdzkwZlu7m/PZFl9sMbn4abrC3HZ5eJe4CC4+pnSCbGypG01P+u5nzB7VT9hVkJzzUH10NrmcrahT0Ol/hRUvq9BVUyY7fkFVPO/Jcz+BTd+CdjzE2A/5aLp1wTa3wLHmO59B7jjbYLs95ieF5h9F1dXfhGx2dPwB0qRmpgAdXQwYoIPISnqhLIQhCz56kgKQ0rYYSQHH4H6+GHEBu3HkV334+DOuxBxdDfiQ/YSaA/BlrCfwj4SbVmpymt+cTuRxRDk7UcRIa6c38uoAAkUbb4FiEIJAU/CPpkSgmGKD4MlMQr6+GCmIKRQGdQzpcbwMySI6QS0oQfgSA6GSxMCaywVxpggpqNwqY8jTR8JnzYMmcZI5BMS60XRIgT15RBcBWYzDVS8UpTJaX1KZBA+Z7ahdgEkDyHSS0hiu+p+H3ArCUQFBJs8YygKzKEsSxyBTItmQnM7oayNINnu17DdEKIFxDKSFUDvyiWg+wjcVGLrCYVlhKVSeV0tFmFrDHKMEbBEH0Rq+F5kEgbFQiuW3nq3KIhRCkBWESBreP0WAr3UZwvvW0fgKmbZClnOMls8SliHpeY4Ahz/IxCm60KQdGwHtGG74Es6gUIj4ZTjjwBcjScFBTKRicenJYchg8Arr95lUlq1hJ2SyZUEZXGfKCaollChrSCU1ogFlGBaTaguIlCXc3yR2MLp1ig4U0OVVQj94u5BGJZ4zv7UcKQZw5Xn3sBjW1g/zUxVDrYBSxTH2QQ0EWCbfOIaoCNsUolgvVR45F5JbBtxhO4YwjQBOp0QSoW3nvUoriN1VGiapd6z9Ju+z1QiuvlMu9LZT/nMOpWJaQbWIxUjp4bPX6LD8Lf43hPAG/kplttWKiptfgPzoGedJvO6GmW/KERVMpmTUJ4nIMvylLmoUPCe8patUFyFUsIIuLFbMLuVttI/ePrHhFn9EaSlHqJADUEnoaglIwHZur3ISz2AwtTDqHWHc9CNQaMjHG3OMIzlJmCpXE9wJMyWpmK2zEAQS0ZnIAQ9aeGK68FSrR7L1fyvSI3FCg1WarWEQwPOtXoxUycxH5MoNCgAKSAHCU7jBLvWgBrVdg7qHKyzzRz0k48h3xBKQaVR/N460gidWUkYKRKINWG9wcF72LBQQWCssWKtir9L7ZihEF4krC1WODFFOOvOMqKUQrKEQqE5XawbegrHJHTyWn15FIZp8RzcQ5GrY3ltJ9CUrcYwIXmcqY/f+3LUmK00YrnOSmB2YbXKoqS1KhtWCLcbNQ6crvPgbL0Xj7f5cbHZjQuNTlyst+ES09lqC1bERzKfwiEgr+miFF9bsbbIq2KByIHcVCa94nYgIDlR6sBkkR3ThS4M5VgIy4RGmehSJpYtQqhEgeDxfQTnHoJCP+Gxl+A6XGjFKIFzkIJMLLSDAiQ5FPYUtoME0DHeS8KmtRNY2nhOczZBRSJPpLOcrGOx4HYQHLp5jszy7lMmtVgVF4KWTHnFKT53iWjN1aGzgHVHJaOJykYZ20d9djIaub+OQN+YSUFN0O8vNGCoWMKmGbDakI01QuyklI3PZ46Qu9rsx2K9k78NmKPSsF5HgGb5ewozEH28ApdfUYjtqlxCq1hlJWXwd5ESyeCybS383YptVw8RZqehulOWs2U68ChUMc9DlfQ5qNyE2cLvQtX+GlTTv4bqzB9xw/8guP4AuPUl4ABl46Ff8pNQG/Pbv+HEvwKXi9/sV5g2/oRtjS/hocwL8JePwe/0wG9NhSeV4JJmRpWsvZ9pUV6tpuuj4U6MgDGcQEnYjTq4E3HHdsGaGAJ7YjDBbD+MobuRyTZfJatgGRKQpYmkshiDXFuMMnO8iJAgEFtgjEYOgcyvCYaH8JlCGNXFHEfUoX0IeuQRHN55P0IO7UTk0T2IDtqDyMO7EbV3L2J2H0T43t1IDN6L5LB90ATvQ+yhXVAH7WOeDsAYeRjm6GOwxhyDO/44SggdTQGJUWskwOiZ+HzFxYOKWT3bQAXBqYL9ppRwWS2Txgh1TdzfRCgVa2QlQUt8cAUuxae7KVOsyWw34pNLWG3h8bUsTxP7uFj7ypwx/2H5qyUgiUW2klAnbzEqCYf1hOZmwlWFLRG+hFDWZwhBLoFtSc98Eqp4bi1hr5L1JCApr8PFz7Yrx0ooJyAr4Mn9NsKmIYZ5Joy6CHxeHft/HJwJQdCd2AUdlYtM1q9MdBJrbR0hrp7HVIvvJ88tpBJRYAxTyid+ppUODUpMVDQIs5WuGALcZjivfGsEYZLjHpVHyU8Zryev7TNNkYqrkZfXsWtD4EoOV+K6uvURMKuPwp4chAKCb22AfY/3FgCtUCzS4SiU8Y/lz2Z7yicElzIP+VZ+N0dTYYhFZlII/InHODYeZ93I5EI9zxXLNpV1llXKK/6xCpQGOM7xd6OLSgiPEyVelJcWPpsG1n81lSQpXxHboFjdxe2jRSzBhGJpDzKBrS2TygyVrg6OmxIGsZng3M7nrFjgOR40E44rxHeWkO5TByGdipTA7v/NMLu1bW1b2z/29oEwK1EJqlxhaMyIR3deMoaYRnLisUiAW6m1Y6mG0FZN+Cg2EhKNCsjOFmkwkafGREEyJotTMFRAMMxOwESRFuuNNpxpc+FSqwunqnmNCi1WKnV4os2Bx1s9WCF0NnHwFquIWBrqM3ToIyx1EKCqKRRK5XWWQ3y84ijcZAKH+HpaMEzwlDRIWJouMjFPTkKzm7CkxWBhEuYItnOEwbEihwKwMsGi0EooSJEZ3QdgTtwHq+YQBcpeuJMPoNwVToATP9ZklFkoIBJ2IiNpP8oJ7NVMjf5IDuKx6MqM5fU1BEUNxouTMFWczLJrMFOsY/2I1ZZlrCbo1rtwrt6BU9y3yvIulyex3HpMFKZQEYilghAKY+xRJIUdhCHyoOKT1irgSOHQk0MgJUyK7/AAoVNcBMYIphOE8ZkyN0YKbARNgetNK2u3hAISn0EqAG0ECfEVbCeEyGvdqQo382pR4HVILLeE1w6WsZ/7xHe1jiBfQrAo8xDi5bUt/6vzJyjXEDCWcGsdBG/ZX5uhRnMBhVZ+CmplNrs/FlmmE8ixhPB7HEp9vA735TsjkGeTeJ/HkG0KQT6/1/jjCezJ6GB+O/nMBgnQg3lsKwK4LOtoiQmzbFfTlXaMl5ownK9VJvONlbtQGUjHngdKCbHiFyvL2OYxFbz/WUKgreFnK4G2F6orh6G6eRaqu1eh+pAsmnAJqrCPQqX/AlROwmzWi1A1vwrV5LtQrb2H7Z/+G274LnAlofX4b5h+C8T9EQjmd1nq9kPvANu/Sph96m9QDb6Fq7KeQYRvFOlphcjzu9BYnImqPD+yHQZIsPl8k5rPMomwkYysFAmRJnAbCyfhVsIeZRvjka2NQaYmCrnJcShMUSNTTYDlMaWWeFQS9vrYbofKvax/GyHCpPiN5qSEKQsGiEXVSphNCT2K2KMHEL7/IWgIZKa4Y0iJJuhGBcEcFQpfXDRsMaEwRLG9y+pUyRFs+6IYEo5S45GmjVQWdciURT4IyWKFrHCmoMatZ3tnGyAQlRFwBRJlwlkJIbuMQFbIPJTb4lFMuFImdvniUMN2V+9PQisBR0BHJn/Ja3MJo9dNQOsgHLbwehUEsHJes1AW5rCE835xCgiJVbWAkCYp38R6IvzJvjpZvID5y0mORI4umkCdhDrxm/UkoZLjQRVBqYbKQLWH7dFDWEs3KgBXzrIUUwkQi2yZnc8kVfIdQwAnzPklZFcyn0MsvFQmnKw3sXqXO9QsazLHPh2vTVg1UuHleUW8Tl5KqDJJS1wXythPi43hTKEoSCVgEyxlRbZSjl2iHDcRwqXeKgmDuTw2XSyyKcfhZIoPfRhJkbuZ9lAhoVLBZEg4hBwq1hJyry3dooB0GetFYueKdTeH15fIFRUSTo3PIdsQjsyUcOSxHeTrIpCrDUcWn18JyypuH8WykA1htJJQWW1Vsy7iUWpivVORqCeslvMZlErkCyodTVQkGnlOE+uzjv8V87zsFAKy/jDrjQqAg9ckHEvZy8TP1hFDZUUiKVAxEX9nfq/muFPBdiCuJWK1Fgt9CZWFUj6fCgKyWGq3YHZr29q2tr/X9oEwO5yZgKFsDUYJGYPymj2foFaYiHOE0tNMy5UGrFaZsVFlwXoFYbZYQ6hNwmxpMhaqTZguSyVsJWMgPwmT/D5TZsB8xeY5s4TMyexEzBZocLI6Fes8fqY4FT2ZGmVAdCUehCfpsOKjW+2NRx6FhicxCJaI/fAlBBGyxHdWJqx4CLIp6OIx3RxQ+wlkQxSKY8UyS9mI3hL+VyLWQi2asrXIMITAoj6MyOP3ITTobsRFPYTI4Ptw5MBtCDl2B8wJu1DqDuVAHUlBdgINrmC0uE6gxRuGzswY1DtD0OwJpXCOQk9uPHryEgiZagwS8scItaME+aHcREKYVin7NPMwV2HDZJ4OU3mJ/IzFVIkaU6y7HgJ4oSUKSSf2IuTAg4g4/BCSgncjl0KqwZ+ogF4zP1vS1YSDZMXnrUsso9kC2jrFh1JAtovA0CkW5YxkZQKdTJIbyDMq7gXio9hOpWCg2Ky4DfTk6gmnWgKGVpm8J4Dazn0NBNZSb6Li3+vXETwJpSVu1n0gXpk5L6+XuwtT0cxylAcICIFYFHgjUJZG4ZUl8V8JY6wzr06s+cd4nSPId4Qh3RgEj4bPjEpCnjWEQv0EKrwUoOmbr1HbA0mEWV47m3BLgG7iM6yyhFKwCtBLHfB5FqViuMhAsEuHW1+KO2+sJMyWEVormMoJsBVMeYqbwWWqWn7vwGXbe7Ht8mFsu2kGqruWobr/JFR7L0J1/Gmokj67CbPZhNnGnxJm34Lq1G+x/VN/xfUvANcKzCrW2L/iIEH2wbeB3Ux3M137MmH2s0wLf4Eq8AXcb56Bxd8It8WJdKcdVm0iEsNDkRwhltdI1oOEmRJA06CUAFXmlNWwZLKQCU3pZtaBGbX2FFSaCWVmDaGDQEGQqrYSFNxsV3xmk9VezNYEMFbq4rPWE3T4/GTyD4GxzJxAmJKJWNHwqU8gPfkEMpNOICs1Qlmso4z3avLqFeiTsE8VYqH0EAIzqNSJ1ZKAXEXwqJcFLQh++SlRKOX16ghy9cxHG8Gq2UdAdIoVVaf4VsoyuTKZqMBIpdMejwpComJBJcg2sR02EG4qqaRVUjGq4f4WAl6bvPImMIkFr4GpTCy7PKbczeftExhKRAOVryJbNNJ0LIMhDBkpJ/j9OPtIJAE0EtnqEMJ/BMsXTqCPUMpTbI4izBHA9QLWcn8LarypCuyKJTtb3Ce0hE0CnCyvLTCYRegrItSVSpgqgpa8EfElB8OvPs7r8FheL5+pmPvLeF6JvDFhfQqYlhDkZOJUa0CDRo5TFaZQlBmCkZF4CP74Iyi2xCgW32afHlUCssyj+KSWK5EFWDbtcbaJEFjjD8KpPgpb7GE44qh0UJm1iQWTCoKEQ6zl+Naew2fEPl2dxvNZRxJ7t4zAWSsWW+ahmNeW/NUQGpv5/MSq2sRn1MT/ZeKXKBpl1ni2pUTUsKyVEi9WJmsS2MVYIJZm+S7trIHXq+LxkmpcaioKElmBz5j1LnWsTB5jEmtvodQ5x6h8AXnlOcbzucVSIWL74X+5egJ2SiRyCdj5+mgFaMXVQJYP3oLZrW1r29r+XtsHwuxiaQqWCaHiMjBJIJ0mjE3nxRA+9Zgr0mCBkLhQrMMaj1kqSsZyqZqAq8FaLfc1Ek4JdOMlyZirMSiv4ueK9ZghVC7ycyIrHpNZcZgjAM4VJmOqUIcxgd4KCncKSx+B05ewF2ma3RRcFG7aYDgTjyKB0GeLOEDBqsWohLKS19+eOPQECJViZRTXAwqAqTJ5BZ6K8jQOrr5Q5DGlE0RTeE11zC6cOHI3jh2+C5ERDyMq/AEcP3YX4iIeRLr5GOoJrR3Z8RgqiCeUazFfqSaIJzFpFevrZKkGE8VqTJTrMFFGSGU5pwTOCebjhNnuQCT6MuO4P5XnWrBQYcdEPoEwEIVu5mOYsDtUILORxYoTzXIdgyMpCN5kCrqk44SDGLRQgNUT0MvNEaiyR6NGLNIE31qPWoHTdoFXQo1YvDplIggBotkTr1hjewiqPZmSxFUiiRChJsTKhLEUCuFE1FIIl9siUeUSC1cUBW00Cq1RBIhQWKL3whQpvoOHUWQPJ/Bo0F0gVlkJBZVAoUqhRcj1G4JgiN2FgPEo8pwU/gRXmfyWawqm4nGcgosKQbpYpQg8ogBQMaon+FY4Qwk9sYRz5on5G8o2Ki4PLYT2Vl+CYpmvNoWjjvlrdMcqk3s6cgje+WY0FeYhLrgc119eQZgtIchKEpAVgC1mEpit42c3U78Cs6rrp6G6bR6qB9YJs48SZp+BKvZTUFm/AlUOYbbiZah6fgnV2r9i21N/wXXfAm4lzO4nuD78a+BepgeYDhFq7/hX4Lo3gG2yvO1JpvKXcJ35McQ4+uD2ZMPjcMOSkgybLhlpZj3rZHN1s2Il0H2sAlIFZipmphglXFZdQE9oYHKzbgmPzR4d27MJ/dkGKk8aQmsKy65n/UuoNfF9JGQ449CXpcdovgUj+eI3baJCoOe5hEQnwdHHNsB200XlQN4uSBxb8XceyKMCxLbRxbbQlS4TKtU8V88+Y0A7r9tOUGoVi6ItAe0EI7GgtvGz3a/ns5HldglVYs0TeOKx4icrQKpAKaG50Ej4Y/sUGEzXHEUm+2yp0m7jCX0JqCHMlMjMfZkYRbgtdkhEDz5rxc9VZs0Tstnuy3hOvoltyRbFuiKkGkNRYiZQpTKZ2E7tscgikGUkhxBGY9iO2b91wchmEqhu8JoIqvHwxB3m2BGkAHcegSydUBvQhSsTlAJJksLY38LgSDgBHRVkXfhe2OOPEqBDkcE+6I07An/CUQWIBWDFYlvAzwKWVXxu61imBva3SvbPfO0x+GP3IyDRDnh8uUPKwv8I5vXiNsS6EstnLZWGCgKuQHEZoVBe4xfI5DF9HOtNVjCTZXkjUUpwrady2UGltJ7KZDn7WyXHuBq/+BKnoIrPQpbvLndQEaByUkWYrbVT4SXIittAM0G2imBbrihEvK9DgwqCbBHrocAUwT4agTw7wZP5kH5fybGj1keYZTsQkK0meMubMHEnKbfEEcjjFf9YxWWB7Vb8d4tZ91IvMlmskoqSLMoiikkFryH/FRFqxc9ZSVQYcliubGPEFsxubVvb1vZ32z4QZudLdQTPJCwSVJeKCKEEz4WieKyWJ2GtUk+oNWO5JAXrlak4XWvAek0KZkvUmC5MwFRBIgFYQ0CNI9DpsFFtwvlaG05WpOIkz10u1mCjMhnneM65ejNOEXZXay2YLpcZ+WZl8oYIg3JzOCo58BZTiMlSkhG774L68API0oag0hKNOgpQWbBhWKIXFBkwX2ZXVv6SWeE1FOrGuJ1Iin8QyQkPwWo6BIPuIEw6QnHkTkSGPECQfRDRhNmY8Pth0+5FhS8cQyVJmK82YoNleqLdhgsNBpyp1OJ8nZnJhlNVqdioMmCj3oqT9XacZLnWKkyYy0/GbF4yhjPiMJ6vJghbMEfQH89JwkiOhjAbQ5iN5G/WJ8s5W2ZCD/fXeWPQLDOyKdBbKfTEr3WkUCbe6AggBDmmPnE5yNJhuMSGiUonhiVGZkCjTAYbIQD1yjGElEHC/WiBgfDMxHrsJ9R2Ex76CY694oJAgGh2xRGKYigYKSDl3hkUZC4KHUJEUWqoAiyNFFrinjDAPA5SKWjisZWOcAqrKArBYAT0R+FQ70O68QghNoRCLYLlkDBEFK62CDR6YjCsWFR53+wkjJUYMZSnI3gLjCVhmHA8V2zDSrmLdWXA4Pv7hlhOUUYGqZgM5GkJXEno4nmDEos2txwHHinDFdvEMpvNVM1UxVTDVEqQFbBtJOD28HOAMDsA1TUE2lsmoLp3Gao9l6A6+hGooj8Jle1LUKV/C6qiH0DV8hpUk29j27k/4fovE2J/Ctz3M+CunwO3vwnc/Stg7++BB/8MbH+VECsLKFz4G1RVL+Ny72cQ7JhAekYlAl4vAg4ritLcqM9PQ3OuDy3Zjs3QWE4Nco1RSEsORgHbrPiGt+QYlZXYJPyZTMQZzDXidHs6TjenYTB/c+naJgJoM+uknOBQSCAoSg0j+MYpINrNJK+ymxSrpwathJJ2eTshCy2w7kcKUzGUT/BlWxnP02Ocz3NKQDiNdUvlaJhAO0FompB6z2AbYXvq4XPvIsi2E6zrHWqCpMxMj1UmW4llrkRPICXctHlS0OwW304tQYfwI6/eeX+Z1V5ImKmi0iV+tGKNrWP/LTOEQaKF1BCm5S1AI/u3LIYgk8LEd7ab37vTU9EpK/2xzOKKUmgN4TVj0EBFtZJKn5xfQqjLtUQQysJQY6dyx/2lHCPEl1VirlYxTwWEXomfK6nQFKlYBV0EVVP0ARhjD8EYcxgp4YeQdOIQYg7tRej+nYg49AjUIfuhjzoMc8xRWGKOwBixGwFCcDrL7EshCDN5NMFwRB9Gji6MsMh7E6aLqHiJRTyLwJ0mK2oR6HP0ISgxhaDeFcXnFYt6gnobyy5vUNr47KVvtbHumgmJLU7Wk8QkdggsSogsLRXqZMW/vMweSiXhGIrNwawDie2drEz4KmUbkFBphWbWC8snr/RFyShjnrKpSKQzFbEeGmQyF5NMppM3PlkEyjR+phM2ZalfsXxnyzLArEuJe1tJ+K5g2yjQs+704aiW8FwE7yrer5AQXCrwy2MqCetiYRe3E/ELllBtRVREJLxaJaFWIj5ItINc3kPqP59tN4v1sgWzW9vWtrX9vbYPhNkpmdBFsDtTa8J6uQELhYTYKj1O1xlxptmJRbE6VpoxU6rHdIkWG42ygAGhtJSgV27CchHhtkiNjToDThL+ztWZcKnRrKSzdalMBpytN+B0tRYXGwRoTVis0GOCYCir9zQq1kaNEl5GAMBN4RS67w7EH7gHWbpgZaav+JVOFFuwWO3EyQYfzrekY6PBr8yU9iQcQNj+mxEXynNC74WG0KoJJbwG3Y0TB25BcvQOWAhkWu5L4X+Z+v2ocRzHeIEGS5UGnCLMXmyw4HwNYbZMh9Osg9OVLFexFiulKVirseB0kxvnmryEXBf/NzNZsFJsxFoZYbjKSthPxVyBDisVZiwVE7YJmsuFJmzw+0aJAUusq0XW1Vq1A6eY/+UqN6byDJhl+ZdK7ZgtsGG+mHVa6cBZmdXfksZ69vPeLiyU2TBdZMF8iYPXtVHhsPE4L5Yr3Fgk1J+pD/A4pxLJ4VQ1zyE4rpYSvMvtVEbsWOV/y9WyKpoTM8VmBSRHMgiZJU7mx68sBTzOvI2UCDgloodQ2iluIBYKaW+s4v5Q741CM0FXrKoCzNPFdowQVHoJtVMFhP5aPpda5ptlO8t0ut6L9QrmgyB7qtzJ5MCjzQEqTHqW08iyWDBTYmJ7khXdCOSFeszWsk5q85DvbcBdt4p7QSHhNY2plkncDMreT5VMdYTaPmzfRoi9jOm6Kahum4Pq7nmo9l6AKuRpqGI/DlXqP0Hl+zpUTT+Cauh1qE79Btuf+Qtu/AJw2wuE13eAI78Fjv4OCGKKJcwe4efNrxNk/4Xpo0w9v8D2wJew33EK2emNKPSkId/nQUtZDgaqswllZtT69OggqLZmpqI1Q4siQl2jPxZDZVTaimQhAKcyi3+cz3Klzo3nxwvwWJdfWWikhxBf543GaJUL/ayvtnQ94UKsZYQjn5YQIfFKo5DBVEHQbCGINhEgurO06M+lQsDzxZd8LFeH6XwdZqjwzROS19g2FtluZnJTqXzpsShh5piXwewUJUpGe5q4LyQiTRMGZ7y8NTiBUsKsLBcrk34GJXqFxDoOpChvBroIyJ2ZKcrkL7HCyUz2anEpyNCxbSSh3h2HamckmmTRAdaBEk6K9SETh0R56/An8t5UYghvPfJ2pTAFPQTxxrR4NPriWO4EtFHhqnNvxraWSWXtGWrlvFoqTjX2CNTyv3q2uTKZgEU4KzJHIFsbjDTmX9wu0jQsB0HWrQuBhtAavm8HwvfvQPCuBxC8+0GE7H8IkYd2IS5oLxJPHEByyEGoj+2BOzEchqgj0IcfVj4NEYdhiTwMX1wQspNCkWeIRgaVFFMUr50cBhfhV960KK5C7nj0Sv0QXhsIoq2eWCXKSSP7Sj3BtolJoi1IRJVGwqi4A9Q5uU9cDNgXm9N4nCccPRmR6PDFopXQLy4FMpEqk+WwxOznffcRnMPZ1lKVCXNSdkfcfvhZ3nyCdYEuAsUESZkj4Ew4rISBc8YfhJnnuZOOwZ8chDwCaoknHqWOGD73SFQRkotSQpCXHMr2yv8IyHJ+bmoIigm0ZVQQRHmpE+XFQgVLlprmNWSiWglBV7GYi1WXbTKf7T1fcUkgMOvDtmB2a9vatra/2/aBMLtekUoANePRFhdBxEEQseNkHWGo2oqVakKL+F1ywG3xRKLdF4Fxwu46/ztTQ0Cpc+BiFc9ttOKxdicB2IJVguqi+NWK60FBPD8pXIuSMJkTg+ncOEznxWMiJxZjhcnoocBSBDMFeLNbjcyEY7CGH4Au6EG4Y3dxwIxEPYWZ+IculDmV2K+LBD4JcyXL3DY5KeQ1e5Gh34di9zGk6/cQbndRqB2EPeZh2KIepOALQW++ftM3k5A2SqCaLNJhg5C6UW0mkKfiVBmBjPtOSSJgrfCYpWI9od6irGa2RGBdJVgKjC4TCtbLLDhJWDxDUDxb52T9OQi6Djze4sWFBje/e3COkHipxo7HG514tIHfGzx4vDUDT7TlEO4JqxUEUAL6MgFmqcjJ+9mpVPB+BOXlCjtWeP0lgd0iK2bzTcr/a6WERkLtRjlhlp+zhNOlSuaN+ZKICSuE2Au1flys9+AioeliPVODl/f34SJh8YnGAE4TmuTaqwTqNULorLiYVBmxLAoKf0tarJQYu2bMs5zLVQ7CayqmCKELPE8iRaxVenCK5y8R2BcLqazUsvws3ynm4zTrRMp/vtbLsqfhw03pOMdndo7XOUmA3eBzO8Xnd5p5PCmT5mQ1N4L72ZZsLDfVwqntwPXXVinQqlImfDXzUyZ8ie+sWGXlvwamTcvs9stGoLp2kjA7A9V9i5swe/RJqKKfg8ryOagChNmq70PV/QpUM29D9dQfcOVn/oKbvgvcQWg98BsgigB7+F0CLcH2kMDsr4BtEqJLJoHN/B6qvO/gTvtjcGcOoj63AKWZ6ehrqsRAZSbafKnKghSzVBgmqOhMlRFs/NFYaTBhgYrbIKFNJsH15aVgo9WDDw/n4HOLpXiq04n5Sgl1lcikwWyjBzM1bozzGfbIimkSXSDLiFxzPFIiD8GREKS4n4hld4AA2UtoHMlKojJB5aLAiOmcFMzkaTGWTgWDoDvHZzNTZMIk2/5YDveLBTc3BZ0BjQKoDe5UAiDhJ/4EkoP3IDXyALJN0agmTAl4j+Y70EqQrjbFoFYmXjklJmsScsXqR4DMSSXAWKJRw37bxOOanIRYwmYb+1ljIJ7gGU0wjeP9dMo9m10SESWSYBqGBk8U2qk4yap7TYE4wrKagKtBP+tIQve1ypjD/EpM3sGcVLR549DgCkUnj2kV+PMxL35ZQjtBsZwWE/QKtfK2IQKFhC1ZYUxPGD3y0N3Ye98deOTu27Dn3jtw8IG7EPTIhxB+4CFEH96NhKP7kXB4H5KDDiD2yCOIIvxG7X0QcYceRkroAVjCDsITdRzZiVHwRx+HlfDrI/ynpUTBm3QcBayLOgLdULoJY1kG9FMZ6HLHoI8AWE0gzCEs5ot/LiEvV5lAFoYyYzRTGNoCVAzFRYT9rydfjYHcBAzzOfVnGlifScpr/gAhVBu5E6ZYmTAaT/DVEyhjlTLmEzqzCfASA7csNQYFKeEEzii41Idhjz8MU8RuJB37EIwRe5Bni0YBwTTbGI4CC2GUn7VieRW/2CQCbYpMwotGHustgwAtltkq/l8uz5fPXfyJcwnI+aknUMb/ZKJYjT1eUbpqeFw166BCLPMcr8sIvVswu7VtbVvb32v7QJjdqDTiYpMDl1rcBDNZvcuFU4Sv+VKjIix7fRyo9EHIiN6Fcv0RCuooTBNEVytTsVaShNNlyYQlI+FGj/lCDSazEzDojcSgP0bxmV2kMJ8r0BLI1JgiyM7kxiuv6CfyKWCzUvhdhxmCWjfBtowDdCEH/3xtEOpcEWjPlFiYSZDlcler/Bjl9z5/PMYp7CYopIflN+83Jsvl1lgp5BPR5ohGX0Yy+nM0vCbvU6BTLJ5rhEuxGp5v9LGcLsIef1cQSktScZrpZCFBlnk9W2LGGcLk+foAlghzPbxmuzcG3RkaDOenYIT5nixKJUDoMVdCwCPczvPcFbkOIfBMtROneL/TFQ6sE97WJNqBpHIj1njdNUL5MoFOLGXzBQSefLHyEpTLCJncv1xmVo5bF5gViOUxArTLrKNVwuxSvrg7eFgmlxLPdpjgMisQzHsv8dxl3nOhKAWrZSasltuorDgI6zac4/Uu1fnweHMO1hv8mGLZ+6mYtKWHYqA4DpNlOsxTMVkoN2GlzEhgN+Gk1A9heZ51uMB9yxJrl8Axn6fHajFBNl+HOQLJslhW+TymKIzHBbByeK1CI84QoC8QbNcJxieZlzXuWy+z4gKh+vH2NDzaloan+/Pw7GAxnuouwXxdB2KO9uGKy2oJrptuBduUeLLiZpBLeC2DLJaw6TPbge3bBrFt+xi2XTMF1a3TUD2wAtWe81AdurQZazblM1D5/gWq0heh6iTMTr4J1UXC7Jf+hmu+A9z2M+A+QqxENLiXAHv3O8CH3gauY1KWtv04YXaBMFv7Eq51PglNziI6attR7gugrSgDnXl8jtU2XGpz4pOT2fjsfC4+NZOGC+0WrNfpcKadz7DRgl62/yUqfB+ZyMDzM7n47hP1+OyED+c6rBguUWNOXHA6vFhvZqr3Y7EqgOkKt7LggICGOeowZAWuDnHbkAU3qNTNE/Zm8pOpIDLlpWIiI4XPgEoHgXWan7OlFkyyfUwUGZW3GrKghlhXqwg1ucmhSIsPhz9RJmBFISVsP9TBu+BKDCI0RUMC8ndkpKJOJn4ZY5S4pGIpLkqNUF7rS3goCcNUaIlDo1d8uZOomKagR16texMUd5V6Amu9JxrdmcnoYJ9tIOi0sh/V2sIJP2Go4xjRyDGixhmG9oBEDUlAZ7YGDWmxqPUTivOS0E/FUlbok4mB/fw9Usz+V8Q2xv4k4fPEqt1I0BXXHQHm4dxU9vtUgm8SPLHBiN+3CycevB8hjzyAuIM7Eb//IaiDdkEbtm/TChtyFMlHDiL8oQ9Bc2QXkg4/gqQjuxG7fweSju8hDD4Ca9ghZMSGwRtxFNbgfTCzrpxxR2GPPshnE4IyQwhaXHEY9BHGCezdrih0OAiJCQfgjqNifoLXYkpm8icFKT6qZZZIlNjDlVjNwxVWdElZ85Ixzuc1JUvi5pqViBYSDqycwFjpSOKnhlAZjVxCeyFhVHxoq63xSkg1iVpQYoqELL2dbYhQJgnaww8i6eAOGIL38xmHUOEPhjv+IPyaQ8hOPoZygmsdryGRD/L0UUp4rtzUULjEL5j5lPBf6YlHUcTrlfJ+RYTZTPUhlHKMrrFEUXGJRwfL3OETtylxn4pnPqjAUGHZgtmtbWvb2v5e2wfC7LkWgl2LF6drbQSyJMVauVxuxihhsNMZgQ4ZnClcWjlQyWdPIJ6gm4qz9QSuEi3WC5KxVqzDbE48UyKmsxMxTwG6RqF7rsFLKHTiUpMHp2sIVzx+rUKP9VorTlbbCUtOnKnx4CzhZoG/BVrFB7M/mwKaMDVeasAAhdwUQWm1lDCbkYThQAKms5IJUJtgdJoQe7HRhcdb/DjHe54UeKsmmMs96xw4W2vHGULYCoX/WYLm2SoHNijoz1cSWFnOM8UGnC4WoDXgQrkVj9a4caneSxDzYjLfiCZnNIp0x1Btj0R7mhpdaQmE5ER0cH8fB/OpbAPLrMdMdgoWKITm8syYyjKwLozcT4WAwN2fnoAOT4TiszhBoJgilCwWiYuGlXVnx9lK3pPg92g9E2H7XD3rROqP9XOO0HquilBYE8CjdWm4WJ/J+kpn/djQ6IxEhfkYRgiPsszvcrkFY37WT7aOAEyQZl1IOeRV/1le61SVB6fqszFb5UI7IajMH4ECVxAa8/hciwkLZVRIKkw408j71jpxvoZ1WWHGIiFihfW8SLCYJ+wv8TktFbKMuWrMUhBPEUKm+YxG+dxEyRjh50C6Win7HOF6npAuwD2Ro8ckk7SNU/L8qy18Tixfox+nm/PQktmGh+/ufR9ki5nq+b2BSfxmCwiwYpmtIcxu7t+u6oNq+yRUVxFkb2K6bwmqXeegOvoUVJEfg0r3WajsXybMfhuq9peh6n8N2zZ+g+u+8W+4gTB7wyvA9QTXXYRZgdhrf/k33PYb4Io3CLJimf0c01kCbdOruML9HILcK+gcnEBzSQn6KnIIohY8M+bDP41Z8eKFbPz4yRK88mwlvn2xCM8O2fHFpWx8ZJiKQ6UO6y1mPD+bjs8uZOGlp2vxL+u5+PCIFyuNRnx4shCP9fHZtnlZFz5s8Hkvsp22+9XwRe6BLWwvZMnUCVFW+Ezm2F5nqTjMEmbnisTnPZVwKxZ9l1LX8tZingrVBNvALBWjuRoXRgoshEwdvAnHoSak6Y4dhCMqCPaoI9AS8BIPPwhd0E4FUsWdoVNcJnzJaHSo0ZdpwkCuFbLQgqwElU5YskUfUhYfKBFLnS2GSi6fubgkiE8v4bWRMNtBRXCI/U6UwEG2hd7MRAywrQywzQzIAi0Z7BcBUT7j0Z+lRi//a6WiW+UMR5kjFA38PlZjw0CJXlG8hkslznQiJitSMVppQjeVrEafWA8JhhmxbJ9mBeKHBQZdycqiCUX6aBQbwpVJWjUE+XLHpoVSXAeKUwn2SVHITCSYp0Yp0Q0yNCfgiz2qRC3wxx5AIO4IstUE/4hjcEUcIvDuhu7oTthC9yKL/1WmBKPFFoUhPp9xgvwooa7VRFg3hCKH0O+N3AfD8YdhCX0E6ZogQiihzymuBQnK0tWyXHFzugYtATVkkZMRZdU+I2pk4pyHyoL4SacZkJ0UBkvIbpjC9iCN9S4huFp9Eu1C3LNiENBIRAiZfJmoTNYr0kYhWxMOJ6HdEr4Tzvg9hNkDyEo5jnyJHiHPmcc1elJRYdcgn4qKn/BqDt+N5GMfYnoIduY9VxvMegpDBUG3Sh+Cah4noQabqUAok1GZmj0xaKKcqDGfQJVh1xbMbm1b29b2d9s+EGZPtxCcCH6LpTKxKYGAkoLZAj0WCC4zBMpRsfRQaItP57S8Vq6yYaPOhfNNXmyUGxXr3LwkCpZ1CpO1Sv5PMDtDQL3YwkSgfbIlh6AlPqIaJWTX6QYXgcxD0PIQ3AI4We/jdUUYE5xk4YMiGyaLxafSiKWSVEK2Baer/digsN4ot+G0rKpFcDvFdI6Q9RiB+VyVHacoxE9TiIsLwBrPPc0ynCcUnOM5GwTT0xR0F5i/xwi1j/Lzw4TGx2sduMjvF3jeY3VePNWcjo+05xLC0xQ46JeoAh6CGYXMCPPVk56EPkJtjzsRwz6WO5cQWeQgbLsIqUbCtk5J07kWzBU6MCkxVXN1mMjTYipPhwV51c68nmQ9niF0n2d6rM6Dx2pdSjpVIdZUlo1weqaceSfoPlrr538BPNmYhSebsnGmIQMTJVa0Uoi0e6OUBRnWeI0zhMIzLMNZ1v9pQsxZxSJrIxi7cInP4XS1WHOtSngsCYeWaw+DV3cIWZYgFNuOo8odgV6ZuEYlYE38k1l3S4T8ecLEIhWCWdbvTBGBiklgeYX/yYS4MYLrLAXxIOum1RGNcs0RFCbsR6c7ns/QTpgxo1xmqeuCUWuKwiDrdJ5tSZSiuRKCMutjsTYP6fo23HRtC8F1c9LXdlUXPxuU7wKzm64G1UyN/F3HT8LstimoribI3jgD1T2rUD1CmD1wEaqIp6HSfAIqx5egqvsOVB0/gmr5F1Cd/x1UH/03qL4IXPZD4MZfA3v/AJx4D3jw9/xOQXvlmwTan7/vavDsX6Aa+CVUzk9ht+Mkmk9eQltLBya7mrDY7Mez4w58c8mAlx/z4JVn8vDOlxrw889U4rsXMgm4ufjMjB8zlWqcazPii8sBfP10Fn7waAG+usxn2WvBpR4bPrNSirMtrN/CRMU95yT7grh49GYmodYaiUqmgQJZppn9g8rGAp/HfKFEDNEplv9TVAo2+LzWqz2K68kEj53nsxfXnOUK7iu1YTBAyPTFo8ayaZGTxRI60k1o8aWg3q1R4pFK4HyJ7SxuBsNFdrQRfpvdMnFLVpiz8RwdKqzxSE8IhjliP+xxbDuEo3JLOPtIAnq9VID52eqPI3xHoisnCUPFRgJtCmTFvPEiPZUwAyb5zGf57OUtxEnC6slqJkL6Ro0T4wTzOll90BaMmkAM2thvajzhaA5EoL8gEeNUuIcLtLy2BjXuGFS7JATXMcJfCNoDUehMIxxnJ2CIx4wW8L5UNKeoXM+xT8nE0xGObTJZUVbtk9UBlZXy8giVVEpl9b4eJXqITvHTH+K+TllAQFbFciejiZBf66Aim65Ho8CcW41Ofg5kajFBIF1nvZ8rtmGZ581npXKfHuNUCjpkwh3HBIni0ZNB6Gee+vJT0UeYlVW5xPqqvNonwFa4xBc1GgWpwUhLOES4Pqoswxvgp+HEDphDd8IVdxB5uhBU2RKVOLN2zTHoCaG+xCNKVJMO3quVSkerJ5kgHoyUYzvgiDsAn/oIMtgHSy3RKJVwXCkRBFpZ/EKtLNAg7hn26APQHLwXcQfvgZtwW826EPeWamMYqnShqCRUNxLGq90JyDNJzNtjKEk9jjZvJHoDsejjs9+C2a1ta9va/l7bB8LsbLkJSwpI2rBUKv6RZozl6TGco8doIRM/hzOTldnQa/L6vMlH+PRihccL9Morzck8kzKLejJHi5liAg4Bap4gJlaiRQrVkzXpWBBIJaBOFVIo83OhjKBU4cVqTQamCKvjhOEJwt4YgXAsj+CYY8YUQXCR11sTIKvzM/mwXimv6UWgG7FQmIpVAtVZQuAF/rcqoFVoxBr/Fyg8X+XEeR4vaYMC7XSpmfsIrlVWXKDwvMjzLjYQvGVillh0edwFwvXFhjScqfdjrsiCHhFWaXrMFbsJpsxnbiqh1IipbApImZBFiBX4nibsiyV3NFvHOiPQZmtZB3asE9TX62Q5W8JhjfiKymQy3rPeQYXAjUuNXgIt61VWEyOgrpSYlUlSa8y/WK3PEKpP1/pwuspPcPczfz7uk0lkLsyW8P4EznUqBTIp7rH2HDzemsW6cONsuRVnWB9nWNfr/BTYWSLU9BJkq50S5/MwHJoD0IXvQFLIvfBrD6LMFYGmNIKOQKlMbPGrCe4sP59rR5pGma1dQwHW7ohiPWixSjhY4jOY5H9j/mT0uhLR40lEkykCNdoQns/nyWdZro9C7IF7EfLQLTAcfhAZUfsU6B3NS6KCJGHhnJipKETCsVpcuV18ZSUsl3w2MQnMyiQw+S0WWUkCvAK0bVBdPrFpmZVJYHctEWbPQnXoUaiin4EqkTBr/xxU+V+Fqv2HUM2/BtXaW9j+9B+VhRGufAm49m3gmneA3b/5G4Lf+wuufwu4/dd/xU2v/wWX/YDQ+7H3oBp5B9u8X8RR/zqy6sbQ19OBleFaPDHsx2dH1fjBqST85EIifvKYGW9/oRQ/fcaP75604sWzPkKrH2u1ajw/bsd3zmXjm+sefOtMAN84mYlnR6x4btKPL50qwRM9MplPhw93O6kEOjFN8FuudWKKCthIIdsElZ4ZtvUpAtoSlch19tmVSoFbC1apXEobWOMxCxIJg21wjv1ghW1zrYJthUA7w98TVExl4qH4S59vzsS5lkwqKS7CpSzV7MRqQzqW2MaW6zKwUpvG9uvDWK4NI1mEQFlpS8JBmWJRoI1Eti6C8HQU2UlHCNwRaCdYDhLo+tJTUMfvBdZglLsjUUWFq9QeQvgJR3c2lUKxJhPY16v0eLzZiWc70/Fkq7yRYH+kkrtaacFEqR6DHHuGqTD1ZhEi2S47/dFUcLVYqE4lEOsxkMf9njjFdaHFvTnxqoPfW50R6MmMRz+BVSJlSPi6IcU9yIAhjmVDHMe6fBEsl551YuE4JFZwN/scxzPeb519cY39dKPBh0vsU5dYTxusv2WC6jrrdoXj1nKtF4t1ooRn4VSVj+MN+znHwfPsc48TyC9ROT7H8eYiFdGzrNd1jg8n+bnB/rfAsW4gS8s8E8SdUUoUlwJtOJU9iS4QAW/cYXhiD8HHzyIqCaWs21JzlOKjWm6MQIn44BJky40Ed5ZNFnWwR+7HiYduRdSeuwmq4cpqgRIJpZP9UqzSrtiD8KuPIofnSvzYWoJojVjUDWHs03FoSUtGB8e1xnTCb0oYsgit7vij8GqClJBc9VTcxZWiiee2e2PRFlArE71MBOjwfffAEvIQ6q2hHL+TOH6lbMHs1ra1bW1/t+0DYXZMhBwH8UWC5UyxF/35ZlRbIpFHLb6BwDFGITCSnYKBgAbTYvHhgDxX4sBCscCRHUsc3CfyrehP1xFeNBgl0M0SCmdk9aoiK6aY5koIXsUOzBJa5Pck4WqO4LxSna74B8o5/Zlq9PrEnzaFxzoJj0xyLgflZd7jFGFukUJhrtCKWQrkee5foACZJzRulNlxmoJDIggIzIrv6ulKu/JqXaybawVmrBPSxYd1vcxMcBVrKj+rXQRjswLlMxR40xT2MxR4c7z+jJSbg3y/j6BGYT6eacQgB/WJTPETZRlzLZgRuC0woTsjGa3+BCXElISfEt/dvkA8y0qwJ5wOK6/dNSwL4Z75OFMjPrl2gqkdjzV78KhMhiL4r1C4zgvsE1hWq+0410xAZx5FKZinIJ3lf5O5yYTq98Gf0CK+wBsUwCdZ52eqfQrUn+c5Ymm+wPJfqKKgff/19ATBtpGCPyPhEIwnHoA26D7oTtyP2P23wBG7BwWWUEUY5muPIz/pGCpTQ9EgIZgoxPyR+2A//hC8oY+g1hiKcd5/viAVa6zzpVyWM8uAQY+G9ZWETq8aPX4CsT0WDYZI5MQchjPsIRgP3Q3rkXsROP4ASuL3UWFinTCPi2wHg6XleOQe8ZEtIaSWMwnQikVWrLSSxBLbyiRw28okQEuYvWJy0zJ7/SxU96xAtZMwu/8cVGFPQqX5OFQ2wmwWYbbzR1CN/QSqU7/Ctsd/j22f/zOufgW44a2/4ao3gAPv/BWu3/8Ru98F7vzdX3Hfr/+MG37xb7jum3/E7R/5PXY0fglaTwcaq2pwZqIan1oswnfO5uK7K2r8+KwGL50MxU/OxeLXn0vHL56z4afnjPjhGSe+uebDs0NWfHUjCy89VYJvLhsVq+0LZ7Pw5ZUAvriei385X4qPT3jw4R4zPjFKpaVJwsHxuTYSlESpYh1JHx2mwjhIxVImZU5RCZhie54kHE0RRufL2ceU/sF2yT4wxb4xy/6zXhOg4unFgiiYfP7KEsxsG8s8b5HnSzsXv+tRtmnps1Ns0xNUTufyLexn7Bs58p0QV+rDEvvkRA7hOsuCwVwrap1UXMR30sPkiFGiW4zm2ZWJXzmpQcizhCBLH4RA0iHkW46j3icz9qMI1GqsV+jYTgl8NRZcrDPjQq2JSSYHmgn/hEwqnLJa4JJMRCxiP5cJmTXs35WpmCtLwXihlsCqZp6pVMpESkL9fIko1lqMF6cobX2abX9S+jcBeYZKtbxhEhcMCQk3zXFkmbC/Xsk6rvFRkfUpEyhP8Z6n2KdOct/5pgBO13mxTKV0gBA35FNTUdBTaWWdsC7Osd2eFj/2rBSc4hhyocaFx9r8eKI9wLK4cJ5AvMHx5xTHyUtU6M/KPcpcGGF/aXNFE2hj0RlIQbszmUqzXplsV2OTkHka1FExrGe9totrEse3iSI7un3J6FRcPxKU+M3dHHMVK6ktGp64Q0oEGHfsfnQLtOfxurx+FWE4XXMInvhDcFCJTE8O4vWT0My+Wa87jlZrJLok1BvHpwEqrhIGrcqXAIn9mxa3F4Xaw6jjMUNsI0NpagxlJFBhiCVMhyKXz9iVsJ8gHsR2mYCV8lScqdxaAWxr29q2tr/f9oEwO5JHwZRFmMwwoSvNgHJzDDJEk4/YrfhGiRVipd5L4UFhKtZaCrhRCrSpfIJpgYOCzUSITeFgZyTYWSk0/Ziv8FGoOBSrjszOHeY5c+U+zFcGOCg7FME5litWWhs/DYqloi9drVh2pgm2ElZqiUJ1o9yphBg6WStCwIlpeX1HIbtIQSRhn9bFIkLhJBbVdQqrGcLdAsF1iftkQpLM8Ba3ifE0DcYDhADC9nBA4m7qFME0zXzJ735vNIbTEzFEIB2gABjyxmNcBDyFxVS2GRulmZjPIVjnGDBLYbaQbcLJ8oDyGreNAJ6XdAAFuiMUTAkETT0BX4A7FQuss2mC8ZCfQjeP5SqhkCR0nKsWX1gbHq1z4sPtaXiqPQOPNgRwvi6ADQpSEeAn69w4Q5idL+M1isUip0cPQaA/EEOYSVSgVkKAKRPFCNSLFLCrVBjOVXoICB48VuPGoxSu5wi6ZxrcWCRADxCq6wgdRfpgZGkOI42CKDf5CNITD8EVvRfeuH3wxeyBN2oPsuMPIz/xGIqTg5EWuR/e8N3whu2BL3yv8spxmM9qkc9qhWm90E6odbKuxSpowgSfzyRBqkFWTuI92h2RBHQqBp4o9LnC0W0LQ4cpjABmwXpjJk53lqM5tw43Xp1PQBWIlSQ+swK2/54EcMWXVsBWgLaOqR6qy3qhumoAqhtGoLprCqqH1qDae54w+zRUyZ8izH4RqpyvbVpm+38K1dQvodp4F5d9/k+48qfALT8H7v81EP9Hwuwf/4TQP/0bbvjd33DHb/+GHW8D+1/jf9/6LVzdj2GqLhvPDZrw2QE1vr+swStn9fjBcihePh2FH6yE4JVz8fj1Zz345cfMeOMxC1551IcXNjz4xqkMfO/xErz8kXJ8/2waXnq8AC8TbL91Lhv/ci4fX1lPw9d4zMcGjfj0mBvP9Lj5/NneWD+LYoGvcCvhnpolooBDJlMloNGjRptMdMwTayPbGPvGFGF2nCA6xmcyxDY+wv0CqJPih5kpsEIwypF2aVcUtR5eS2beDzD1OERRo1InPt8EWPHtlvi0U1kSdm5z0uE5sUYyL6crvexzASyWBTbhmc98mJDVbo+nIqNBJQEqzxCMgPYIlSQqQTGPIF17EDXuMLSzDc8V6dlu9VjMTcBURgxWZTXBAvaRHP7OZd/j/qFs9sP0KPTYwpUIDfOFVDSLJQJKGBUygrHzOMenYI5Dydhg296gsjZbqGM7YxkLtARejkViceW4sFxhVZQ+cfGZLjISJsW/WyDZSah3EegtCqhPS30xTWdTERDFs9yj9PE5KgtTrNNx1omMATOsQ1FmTxLwz1JR2CBorvOYS83sxx05uNSehXMN6Viv8jBfHD+puC8UuTkm8pkSfqVviPI/mKEngLsh0UzG0/XocMUTLDXoCeiUcF+DrP9RjiPTrOM5jpvjfBZTHDuHeZ6Mn6J0zIr7F+89zrGwjIpjmvqoElFC3nQJfPYFktAhrgIuNfvwPuQQYJtcCejmvYY9sVigUrokEzipWJ6iEjBbZEEXlaVmjoUVuqOoSD6GXl5D3lKtsu6msxLR645UntFsSTLH85TNkIxUTM6Up2CjeGsFsK1ta9va/n7bB8Jsl1+HNpeEzklEhSEa/rBD0O99AOnRB5S4iOLvOFXhYrJjSl5hFtg5wNooIMX/0oWBdAnjY6cQpSDNMSqWnTkO0DOFHn53YYiDfm+WgQM4YafEw8Hcrfw/TQE5QQCbIOyNUCBPFnFgltdwxRac4v1OigDg/5PpSRSwBsX6siixWCmclzm4b1DIiCV2TWCWQmuaAmo4kIixDK0CkCMcgEc56M/IoE/BMJGWgrGAFsMUFmME21GfljDIPKQn8xgKFQLhFIWUAPMiy7Ba5sA6BfgSIW2N+ZZoAxsE0eV8saDaKMwp6CiUOgizxcmHUW0IJWSKtdKIpXyDYq1cYz7XCBgrLMdpnn+q3M1rEc7FF5aQ8lijH082ZuBiLUFWLEH1/s3JUPUenG7wEmhYX8USDcFOgbgZ2/Z87aa/7UlxIyAUnyox4wxhXlwwztak4Wx1AKd5ffEPXi0yYJnpVC3rivebLEyl4pCCdn8yWt1qNNhj0UygkdiWeerjVGIOoVB7grAahcqUSFQkhaE8OQxV+mi2kWS02JPQYo1HiyUafc5YCkMKRXsMIVWDPjcVEg8FdJoe44SDUd5HrPmdBNnxTJlYuBkK7XRNKi7Wm/FYuw//NFeFr5wewGMjjcjUV+CK7VkEVAFZAdYipgKmPKbc97+L36ysCPbvUEugFZi9ugeqGwmzd0xDtYMwu48we+JxqOKegcr0ecLsN6Aq+z5UjQTa4Vex/RO/wbbPvAfV1/+K298Ajv3hrwh+76+IfA/w/e1P8OFvyPi3v6GZvzfe/TM+8uQFfHJAjxfmQ/DD8f343vgBvLZ8DC/PH8ZPlg/h1ZNB+PHqMbx2PgZvPpuK155KxKuXNHjtCSdeWLPgpady8ZNnSvHqcxX42UfLmSrx+ser8MMn8vGdS7l44TwB98N5+PKsHV9bTMcnhwmMdWzzZQSrMgsmqbAMZVMpY18cZ9scF7BhX5RJgLOS+H21xq+kefaLeQLnEMF0iO1+nG1PooVMsn2Pct8sP5dKxBfagQn2DQG0Sbb/9UqJBZyOS4SwM1UBxQd8geeNZuoILgLFBFq2SYl7LJMAVyocbFPSnwlT0vcInMMZSWj1xaLSEYFcKkzGEzsQ9sDtCH3kVphDH0RR6lF0eCLZR5KxxjSXFoO5rFgqp4lKlJOxtEhM5sSjn8DbbDmODnsoeh1RVH4i0e+KxYAvBs2mY6hNOYS6lMNoMJ6gwqlRlFpxE1otSsVSHvs1Fdg5AvkylbslKlZzuQR4UXSzNVjI0SoRH+ZYL6IsC4QuUNFcpGIoytmsKAFuKrYE/NXKTXeMi6yXs1TqZXLpqlh6CYATBN4ZeTuTQ0WdaYbniwV3mcfMFZkxSSV+mnU9x3FzscqrKPNizR7gORNlBFvW72SZB8s16bwP65UKRk8aoVNcdIwRKE46QbiNQ7cnXlG8JwmyIxy3xjJTCfmsb1EyOP6Iq88Cn4c8m6V6LyYrCd4cJ+aLRSlJIbTGKm1giuPukCgdPG+Qyv0gy7fBceWTQ3l4ui8H51vSlPFmlUrwDNvcaK6WgK1me+F4xrFD3FPWCbPnq6S+krCYF8e6jcO5egceb3XjImF2mc9wLT9xC2a3tq1ta/u7bR8IswKxZdpw1FjjUGWRMFxRqOFnjSUWrR4tutNlhq0dYwS/kXyxpLowkuPEWJ6Hg6QTfRkmDBFkR/MsGBABmm3EZJ4bEzluCkEnhrlfrAwCu2KtnSb4zosVL99B4LUReDnwi8DlgCyCckksrhScp+XVqFj4KGxn8kyY58C9TMEj/mnyinSNgmg6R6xHWixznwjpSQqiBQp8iRIwT0G9QqG/xkF8rcRFqCScEqhX+bkilt0iO8HPTyh24TSFzUkKZnFnkIUE1qt8OFlDgU5hM8syzzGfpwmcpynkVyh0NkoJuPJ6sUgs1EZCPAUX77fOPMlrxQV57c59K4QBCamlzDTn/ZZ475OVfpys9uKs+L7W+XGhMRtnK3y4UJ2Ocw0ZON9IIG2UhQcIp00B5mNzMYLTFKbrSkQCloGgKnFqNypdFKzyStmAhSqHYsWbJzxPZVI4U0GYIqjPEYLWWUaJDSv+lPME9HlC9QLrYrqQQJMnyomERtOjzZuMIbG6F7oJFAZ0OJLQblejl/8NpJnQ7aagTzNi0KdDryx04YxHkyUKTdZYpjjU6SPRkErw8FMBIXRNsU562L7abTFsG2qs1Tnw9EAGPjOVhy8tluNrG/X4yplenBvuRPiBDFy2zbkJrtvEKpvO5GZyMcn+NO4P8DOTiaArx1xRCtVVhNlrW6G6iUB79yhhdh6qAwTa6EehSv4YYfafoEr/ClQV34Gq7SWoun+Cq558C9d85be4+rW/4Ya3gHt/CwT9HkhlKvgT0EmQnf/1H/HU91/CD76wih+uOvDT1SD8cukR/Gz6IXxv6AH8aGI3fjzO74P34Cdzu/Dz08H45cUYvP1RNd78aBReOXMUb3xYjxdXEvHa02l45elM/OLjxXj9Y2V47blyvP2lerz20Vy8/HQOvveoH68+X4TvXUgjzLrx6VEnn7csG63DRgOVIFlwggreMtvNAp/dkrRVtot5gtIK4eMM28ypujQCcDrW2JbXpQ1XBBTLowDPOtvFhhxHheeCvDpnW1oi8IpFb1LaMMFHoFSsryuiaOY4qBQaCT4G9FOZ7PYmbLoQZbO/EVwn2KbEjUHe1nTKEsWOGLaDUCo8Eai3hqHSEIJczVEEqBD7ovbBE70XmbH7CWpU+LLEr5KAlKvDDAF4gkArFtlpQuyYN4KKZjSVnwT0eSMxlBaHWULVHI+dFRgVCKVitE5oXea+Bbbx5UIqayUmXKyw4YL4mbO8p9j2zrC/ic/qU3VePEql7wwB7xQh9GReCpVMA/uOB5caM/EY+9m5apfin36hPo2KIeuXyphYnBfZn0UxECV+jEruOMsu4QT7qSiLb3ivT6NEb2h0xqDGIVEZtIo7Ub8vkfnXsC9RqeZ1hpmfMfa1XllEQlb745g2yPFjpNKHHt6rIz0FTRKv1ymLknAs4X/iujWWwTpiuSWutbyBmcyiEs59ArMj7OOjsooe7yXh8NYVP18/FSAqP9nJVALC+fwSUa7dRyCOwizHVSnPGbYNZZIsQfYjA6X46GQV5qk8t3KsaBTfd96nL1OLWv1xRRGdL7Mqcb7bvDEcYzjOsi76qeCI0tKeFoshPotFKtOrHIMXWfcLxdYtmN3atrat7e+2fSDMtnq1aPemoEPWZ/foUGPcXIWmI6BFbzZBs8SLsSI3YdbJwdlGsLHw04nRQi9GuL+XkDogFlp+9lDr78oyYbwgDaOEWZk0MpRrxoi8XivyYjrPhdFMC0YIwMMZ4qvHwT4nFWMUjFNF4odGoCU0i5/ecokHkzx3ijC8QBidKxb4FT9VM4GYcFtiVyxG8hptmMJhmAPsCIXJLGF2gUC3WEywk1eFFCQS21VAU17zrxQ7FYvvIgflVQLCGoXXAq8llt8psagor8gJ3gTYYQqZAb+WeU2lcBOIJhCyDlaLZJUtJrHUEhQXmDex3J6W34TXGeZrjOfKOUsE4sUyN5bLfVgqDyjW7BGWa7qU5eH9NyhQT1YTRKrSsdGUjcVqHlctwCmC1IVpCoiTFFKyb5gCdTRXls41sPwUIAQXAfAxlnFCLNliLZPz5LUpyzhH2BfAn5MJRBSQs3JP5luE2ppYgwj6s8zfHIXqAiF7vtyPlao0AlEaoYXPWSDWL6+rTRhjuSeyRRFIw1w+y5BlRAcFtliRas3RhFmx2MahzRyHoYAsqWrmZyrqjXHIiDqiBGrvoVAcrTBhrdOL80xnWj1Y7yxGe0U97r3dSEhNZjJh22UOXHmFCVdersFVVyXg6msTcfOtDtx2mwPXXJOKW+8I4MprvLjiJoLvtXVQXVdGmG2C6r4RqHYtQnX4LFRR56HSPwtV6qcIs1+EquSrUDV9G6qB72H7uZ9h2+f+Fdf9/K945F0ghCn3D39D/2/+gid+/Wc8/8qr+O53nsVPnqnBex/W4VenT+BXqw/jl/MPEmZ34MX+O/Hdnjvx+uLD+HrT9fjR+Ifw+vphvHU+Ar99PhHvfjQEvzh3EG89FYuXT8bgjY/Y8cazPvzqM0X45afL8frHy/Cb/1GHtz+Rh7c+XYjXP1mIt75UjZ89m4evLljwT9NWbFSFEVAScalF4vIStgih6wQz8aGWaCKy4MV8KZ8x02ol2ySVKGkLiwTUeT5veX0+R6Vxmv1FwFNiI08qn0b2X63iEiMhlSSMVh8haYztaoKK6HiavNUwKb6xk+xvo3mEOEnsp5Ns17NU3iYJdJNsg0MZeoIsFRprNBrMIai1hKBcdwy1EsYpJQxlqeGo0hNujWFsB6HoJPQNeOIxzHuO+OJ4LzVBNYV9kkBUoMU0IXbcG43JtHhMpMcrId/m85KpiOqxwWNOEkhPc5w4T2XuUSpvEqnjdJlpM7ReoR5nqNCeKiC0svyrBN117jvH+nmU4HaO55wsoHKQS5gu0LOeLFhhnYliuFAs1msrVkQJoNI6x/40KW4bOWzDHM86ZYx0qjHgS+IYI5NixbVKi8F0ndIfR0SR5rgi8wFGJAoCgXUgkIx2N+GUivyYjGMci4bkPyoCvaxniVHcSCANJIfAESuLxeyDN3I/mjxJGGdfneT4JfdfprJxhmUVa/CAO4Kgr8UEgXeC4+dCjhHzHENnOP4tcTxbZHnGWZ/Dvnh0sb7FzUDe6izxOYqyPcV7itKzQeiXcIZPDxZjoy0NpYZQaI88CEPoblQKnDP/RdoQFCQeR5U5EtnaE8jRiq+tms8yFpnxwfDEHUa2Lgg5SUdRqg1FXWos6k1xqEyN2oLZrW1r29r+btsHwmyDMxkdaano5cDan2lS1mvvzDCixS9xJlPQmSavpXXoIph0Uci1ePU83oSODCs6s+xoJZi2pRvQ6E5Gs0+LlnQjgdZOTd6A3iwLB24LBrJtHMjtGM12Esgcyu/+TLNihehJT1bC1UgonH4OyiMSBiggvmKyCIIBgzxuOMtJoWAkSOvQQ8iWmJbDFLaDHOwltE5PZgq6JZyOWEYI1GNiKc51EnQN6GfZRPjIq2+ZWT+UYUani9dg2UbyrUqA8i65Ls/v43FS3g6Wt8WdiDpzFIV1IvokxA7vN5NHGOTnbJ6dYG7FGAXdNM8X/7n5XIFwArHs53VG5XVikfjHuQn3DgoxC/PsZN1YUGyKQoU1Ds3i9kABOFcqVmEfodGOAeZJ8tFBoVnnUKPcEIOudBPqXcmo4e8WZfWmJEXotQf0zK9OWYWqzqXGIOtipcqDkxTIYrkWgS1WtLEsCl7+10koH2Y9zBaJf+FmnXb6CewUiGNUGsQPb5qCfIYwMCj+mHw2Xd5EPnc+n/RUCnYrxvn8xkVJIcz2ENgb7DFolaD5vPYA29CQfFIx6veyvbi1qDFtrlBUStCVNf2zUkNQIrPP89iWCAGt5cUwpxTjnnt0uPnmeCYNdnzIgKA9OqgPRCLx6GHER4TBqo+DNzkG5qhIVOb7YDfYcfSgBQf2FuDeD2Vhf1wfbj3cg8v3DeKK46tQhc1ClTiJ7b4lqHxPYFvGR3Dd6P/Aw5/6FnZ/+mUc/u6/4sSP/4zMN4Huf/09Lrz1Cl749Qv4wadX8erz9XjnGSN++2QI/vDhg3h7bTfemLkbr08wzd2PHw3eih/23IpfrjyE/1FzDV7sux2vzO/AG6v78JunjuPt84/gZ6sP4tWTB/Dq6XC8/REjfvUJL979XCF+/eUqvP58Id75Yhne/HgufvVPBNnPleLdr9bhtacz8I1lA/5pRofzTcF4ZjAVT7TpcKEpFRfb3bjU4WPy4GyDhYmKGUFMlqqdyUvFoD8J/Wwb4uYjbzvG2YaG2H8m8viddT1K5aY3XausuNdgjVKea5srFi0EzO60ZEWJW2IbXKCytUSQWqlwE+w2FavlajeWZNIYYWmtwsn/ZaKimW1LgFaUHSqm2Vq2J40S/aPPGY9e9p85tmfxg+8JqKkYSoxo5tFNmCVIT2Rq+L9OccGRxTTWCgxKxJEl7lvISsJCdjKVTh2WC1L4nx4ni1JwpliP09x3Kj+Fvw1YJawKmMp5yzk8nm12wid+uBL/meAZiMe4X43ZtCRCXzJmM9UEv0SMBSSsXiLGma8Zjh1TrL8aWyT7fDzrQvqK+KRSkfOo0Wlnn7MkcMxIxCDrd7bAh7XqXPZrj+LuMUtFdYGKoURlWanwUyl2UuGWxUWoxLP+xZ1qlnW7SGV2Ut5uiU8yj+9i/yuwxbJ970Likb1IOPwIwu6/HbaIA8oStbIgwgD75wT75lyefGqpRGixQkVb4llPcpySFQLlLdQU61/8/+Ut0TTheoZ9vd+lwSjHQnn71WmORzP7oEwykxBhzc5Y9Eq87hKOqZlJsJ3YhdCH70To7g/Bp41AgSMJlohDMAfvVUDWyu+p/J6WeAKe8CPQ7XsY4Tvv4r490B95CKbDO2E+uAuO4/thP7Z3C2a3tq1ta/u7bf9vYFanrCDTQMBrdkrImBQ0eggphJEqixplKdGoEI3bnoAKWyLKmWo9/M+RgnJLMkqMatQ6NShMCUMxwauO59USbOsIX10EuHbCaHemDR1egmLAii5CcEe6BfW8V51DgyqTxL2ModafrCzh2UHIbHFrCGiyDKaRoERQdvKaNuaRYFnvoDCW/3lsM4/pIEB1EWrbMglPHOTbOFh3pBkIXwRCvwEdvEZPFgE2TU/4tRNMHagxaNHqSiX82pQ4m42eZHQSyDt5XCPrQeCr3BiNansimlxJaGH9DBJOZ4s9ipV2QCa88XOc+2YIgbOE5yHeZyxLJuCIpZSpyKvct9lHKOU1SnjNGocWOdpIpIbtRdLxR2CNPojc1HDUewmkAQvKjFqkJ0cgO1WgLx7m0CCYQ2T99SRk6xIQkADvWllKMxz22GNwJsgkmyi440KQoQlGL4XeKVkutzEN6xSYG0zi0ye+w+L+0U8AHSLkjPG5TOd70JNm5DPXoN2tRodHrEjJ/E9cQlh/3jj+LyCbhEYJ9M66qDHHoV7cT/i9m/XcSQiSV6wyq3qQ1x2gctJFZaibdTpGZaKXylFvupl1qGXbSYI7VlYmOgoTBaIsIao+vg8p0YmICnHh/rtjcMctBxG0PxJxh48iYd+9sBy7E+5jN6HW+CCaTLcR0nZiPGsfluoicXpch/aMI8jSJKHcm4tPnetEjsGNI/uLsDusDw8kLeHelAu4v/I3uMH+JG5wfxgP1n4HBZ95GWs//iUWfvgORr73Cyz+4Mf4/I+fxNcfS8c7n8/F6+fi8N5TR/Gr9fvx65P34U/P7sXrozfhtcHr8Ur/zXhr9X78YvYevDJwB95c3oFvNlyLF9pvxE/G78BPJu7DL5Yfxqszt+PHEzfjRzP34Gfng/Djk8H45cds+M0X8/D25/PwwjkL3iLEvvHJXPzi07n412804jffbMLLjznxnZMp+ORgCL40o8Y/LzvwTHcSHm3W4GKrAR/uteHjYx58pNeBT0/m4lKTxBT2Yr7YTlARqBTf2QysVgWUNxMLxYRQKkqnajNxoT4D5xqysVBCCKPSJRFGBHqVtxpUwCbEilskUUfcmKRSM0AIHM0h6FEhEn/r5VKCbDkBt9StANV8TiqmCEKThEiZtDlF+JsW6y2vN+bTYJhQO0UglRXjBrPUPE6HGYLvdKae+9nGCLdjaWqCZxJm2M6Ws3U4Q+g7X+5S/L3PltuUJZjPlJpxocKOJ+sceKzCgLP5apwl1J6SVGrEuSobkxUnCcTLvMccIXmJgCsRS07KuRLpg7C7XpiKjRITAdCkTHQbJfyP+wi5HDNaCY6ysEHc3juRFXdQieDR41Ojl2WQSW1NlnjU2SKYjlG5TsEEoVSW6W33ScxYk9IXBv1aZfKpvK2RelphPU5IP6NCKy5YUzWZGK9MZ5vleEiltjPXgVKOad64UBhDghCzfw923HwTjj98LxIJh66ow6gwRKHNloAx9t/lEiefpygaXgVwO21xm5beTC36WK9t3niUJx9DvSEUA5Iv9sE5KrTynPvdVHo5zneKcmmMQbEuDNUWKtSpJ5AedRD24H2wxwch9sR+RB3ZjbhjexC++z5EH3gAzsQwpGks0IceRdKRA4h5eAcSdu1EzME9MMYd5/4DMIcxBR1G0q59SIvemgD2f/f2Zzw18zsknPvj+7+3tq3tH2v7QJjtySJgikU23YgmQmyNXYcmAmlrmgWN7lTCigQIT0Ud/6smgJaYEtHoM6E1YCP4EVR8FoKYCaWGWBTqYlBNyK11U/snSLYS8Dp5/cmSXAxmewiohNs0K9rSTApEV1kSUaSLJgxLsHbex6dFA8GynoOu3LvBRdjyWtDkNm5Ct0ONVgFYsQzzOk1yDOGpheAqK+G0816t7wOsWJKHcu2ELCf6BWKzHRgUP9/CdMKXHV08fzDHiy6CdTchtLfARRh0ooOA2+rn9Vm+7mz5zbrx69BDaB4pdPBTLM4mJaj8CIWaRHYYybQQCmwYzndiiFAwqoQ4c6PSHI9iUyyqbAR+Cq56Al0+hUM+YVRW5wkkhMIXH4JqnwHZ+gTE7NmFwzseQNC+3Th+YB/233cvTux8ANH79yKa+4L3PILjux9G2L6HELlnB+IO7ETs3p3QHtqvrBA0SMH1+GA9oacQj7Xk4AwhZoL5Gsy2Me+SLxdGCCyjhR7FOt4lgfNZn13eJEJuqhKtQtw2+gLMqykMTfZodPK/dj6TVgJpB+u6g4pEP2FeseTmE3qydJgotmKKgnO0kNdM16OaArg4NVpZArWUSkGRLgKV1jjkpcbBGH4CmqMHsOvmmxH24B1IVwfDq4mDISRUqQ9n5P1whd+K4cxDGHPtQPaxa5B//FoMpN6AZzsexqe69qBbdy/mM/fgqaY9mA8cQ1VcKv75ZBG+0JOKUZ8VnS43mj0FcKTUICPjLLxZI7BmD0LjHUfN0Fk8+7Ev418+ewrf/mg1Xr5kwxtrh/Dq8AP42dT9+O1HduPt5bvwWv91+NXK/YTau/GLiRvxi8lb8FrfTXh34168MX47ftJ1K95evB8vtFyDb1RfjZf7bsF3W27Ai50E3+k78Or0bfjJ9J14/cw+vLS0C7/+pBnvfi4Nb346gO9fSOVnDt74eBZee86P33yjAb/6Yhm+d9qAb60m4vO9R/DSGSO+tmDE58dS8WRDFJ7r1uNj/an4+LARn5nx4bOzWXi6PxMrdT5FQWmj0tTJPtCfY1XcWGbYPucJngvlMvlIJl06sFzpxppYWysIuvy+XOPHUqUfs2VeTJb6MFGRhvm6XEyX+KmMiIuBhJ6zQsLhrfIaZ2ozqCAFCIR2zPG/SYKdTP6SCU8zYhHMSMEq+8hJmXiVy34fEGuijn2DSd6asB8MUHkSq+J0egr/T8a8+HX7NVgmmC1TQVygUrlIxes029NJmfDJNnm+zKrA7JPVJlwqT8HJgiSsF+hwrtKCSxI3muB7SfxACaynilIVGL5IABcgFneEs8U8j8deqLBgQ6zAhQasiMsF8zRMCB1im28wRqFKG442Ku2jhHnpAz3eBAxQYRv069HjUlOhikU3x6pegmITlfqBbCsVAwnbpUe7IQE9LN8QxzAB/3F5IySuNnweYiyoD+hRyPEuoCZAao7DF3sEjuhDSD64E9GPPAhN0H5YE0NhiD6GpKA9MIUdgi/mMJXqSLR5qGzKghZU/juoGHe4k1Erq30ZI1CoDaJyz3GRY1QBr1uSfALl2lAqnTFK32zn8U1mNVo4dtfKvAgqz+lRe2E5vpPK4oNwh++C48QuOOOP8P7RCN55P4LYL+P3M09HdsKRcBy26CA4oiJhOBGkjDXGEIJr8CHoI4/CGHUENirW6ckx8ESFI0+r/78cZt+Hud7fIeOjf35/33+z/eGP6O3fPG7yG+/v+/+JbQtmt7Z/7O0DYbbNn0owJNQQEJvchFkHYdZvRKPHgHp7CupsetRRs28gcDURWmtcHLizXBgoSENHugNd/N7hF0urvBY3cGAlxBIUO7MIfoTDbg72Q7k+9Ga6CYV2gq8NdTy2hcAoENxCMO7MdKJVYJoCWZICy2lOgq+TAtrN5EAbgVqstR2E1J4MC/qz3YRwByGcABuwKNfryXHxPwqXHIfixjBR5MZUcQBzpXmYLMpiHhwYzvMSYj38vnlsZ8CMPp7XR/gUi3F3JsGX/w/mpqE/V6CUMJzHfbmbvsFibe4S3+F8OyHYjB7Cc7fHiB65TjbhucDDfNhZLkKdOYGKAQUh8zhASB5I4/FeHu9LRR/3Vdm0MIUfQwpT+N5HsOO2W/DAXbfjzltvx1133IX77rwT999+Gx68/XY8dNvN+NAtt+DBO+/AnrvvQMjDD0B//CAF4Q5YgvcrAnO0xI3TjdnK6mUnCR2rVVmYrcrEONNoeTpGygKY4L7xEgF6mZhnRR8VAHEx6Urnc7fFotkep4RS68tKZV1I3lnffDYDmYT7ABUFClVZk32Q4CFCfyjLoLh6KMufEmRrvTpkpERCH7yXoH0fUo/tRLkuEpWmKJQY4pjXQ1DvJaA/fBc0u25Fh/MIlkojMZ1zGBtVezGZfSMaU69CXfItGDXdheb461B07FrkHLwCY7ab8ZGquzGivxV1x27ApYI78fGWB7GSewyni6LxkZYj+Hj9YTyX9yF8qWY3Tvv3Ycl7AqfzQwk/R3Gq4BDOVobjieo4vDATg5fm9uD1qbvx5swteKXnBvy47Tr85sIj+NnAjXi54Uq8u3gf/7sVrw9dizenbsGr3dfjN+t34Zdjt+Knbbfgl9P34YfdN+GrxVfi+4034huV1+DTmVfgO6034oWOG/Cj4dvws9Wd+OnKXrzznI4w68ObH3fitSctePuTWXjz+Qz8/Bkffvf1erz7+SJ8dzUJX50MxvcW4vGzRx38rsY/j2vx5XE9vnfSj2+v2vHVBQO+fsqPb54vwucXi7DSwHbMZ9fi1bK/aggthB22hW4Cz3CWuNZIOzejVdyHCG79fK4jBUYqXkYCrITc86Erw4EarxGV7GflHjOVK/Y/ntvPNj4krjlU4ObLfDjVXIiNhnwsV6VjoWwzbNValQ8bNe8vHFBkIoDa8Hh9Oi7VpmNDJmtKiKwyC5ZKrDhVLL6rLsKnExf43xkee67MhtMlFn7aCZseAqgXZyo9ysp3KzlGzBF2TxcZ8Vi1FU9UWfF4hQGPVphxvtSMRytdOF9McC2x4YlKJ78bud+EcxLhg3lZJ2ifIbyeKzTjdKGJYExQptI2R4idFyuxxJtlfSwXmDBFBWAq30Fwt2CiwIJOKm1i9ZzIZT1xLJnKMGKUQCouRjNFHsUKPlngxjyV4MWCzbB041Sqx1hXi1Qc5gn8E3kcJ6gMVzsSkJ0cAtPxPbCFMoXsQfKu+2AOegTW4IOwhBwi5FLJJQz7tRFwxh6HNeIYnFFBSKfim5EcivSYI8gIP4zC2CC02CTerIRRjIX1xCNwhOxHLkG4MDkc1exnNVQgy7VhBNcI1BpiUamLIvzGo5IAXJIahoy4w7CH7UfKoR3wRu1DQJbtTTqOfIcdzrgT0BKmHdFH4E0Igic+CNbQA8hQxyInKRaBuCCkJQbDnRgCP6/rSwpBGlM+ldd8bRQyEsL+YWA2YeL3eOX9vf/r9qcvv7d5zBbMbm3//7K9+y2c7ixGXmYmMrPzUDv2NF567/3//mP7M9764hraK/KQmdmEp3/+/m5u7337NJoK5NwKDH3iv/zxf3j7QJgViG0lKNbbk5T1zOsJq+VmDQemGOQnRxM8dahzpaBerLMEsyoOpN2Ev8EiH9oJle0EYQHNTn5vFSHoMxIGCZqEt+ESH0ZKvIRLeeXsJCC50UP4FeHZl81r5DLluXk8wZXA1J0pMGlT/u/J8vE/PwZy3egmdLbzHuLD203hILAqlt4hwuawIoxtBGrCbJZNsTqOUMBMFnsxTQGsTFTLS8dYQQYFiwOdaTYmOzr4vc6ZwjLreU8Hhoq86BULLq89ku/DRGEGpkqZyjMwXkoQLPARfJk3wq74C3dRwA3luzCRn0bBRzAn/A/kexWQbSNwi4tDn9RBgRejvN4Q79GfZlGgVizFjaxTBwXWkR334eG778Y9t9yKO2+6GfcRXO+49TbcfusduJtAe/edd+EeQu0Dd92FB+64E/cRdHfdcQ+SDh9GhiYGpqP7YaaQrHERVgimAwTKIcJNPyF0hEJ2uiYLy01lmGsoxnR1DuE2h5CfqdTfAJOAvOS5m+Vp9aSgmakr3YzeXCsGC1kvvMYI63CyJIPPS56LmUBv5H6Wh4K9jc+93KlFmjoclsjDSDy2BxGE1aMP3oHgnfdAffhheML2otkdgwp9CEpij6A8ejcKwh6Eft/tSN19C4oi7kKX/jaczroaT1VdjqWMbeiIV6E5fDtao65CdciVsD+4HTmHrsKA5lrMGG5A9YErMJx4JZ4uvBH/o38Hlo23YCz6ZqwlXIPPeq/Bi4234CvFN+Gs9nJctF6Nz+Rci69WXo+vVNyMD9uuxvfa78DLvYTYvuvx8/Gb8UPC64vll+H10RsJrdfix3VX4K3x2/DzkRvx8+Eb8MbwjQTea/H6II8fvBE/qOUx3bfghz0341vVN+CbZdfjCzlXYTl6G55Pu5L3uQbf7b4ZP566D2+cPoq3P6zGu5914a3nrPjFh6341fNpeOvZdLz5XBZ+95VK/Oq5AL49H4uvjp7AL5604o1LJnx3Jg7fmUnG91bseP3JfPzwlAUvXTDiJ0968bPnq/Dt02U438Y+FdCwTRFQc6yY5DMRX81OZzIVDht60hyoZH+usqoVtxxxw+mh8iGTNaUd9mR60Zjmh0+bgIhjBxG8bxfCDuxGasQR5BhiqMAaUWaMp4JpRoOfiiiVtjoPlU6PVpmBL3GjlQgLBEpZlORMhQOP1abh0bo0nJFlmwmhGzUSPs+sLBv9RLUTj1XJctICswTPcv5XRvisIOhWe3C6wq3ArITmW803Y1XimxYacLbGgUcbPLhYbceTDV4CsxdPNfrxaJWbgCyRC/g/r6lENBD3A4kAkGfAqXwTVjL0WCC8SoQRiZAi/qyLBNhFmVhWZsQq87HAfUv5VpbBQjCl8pbGPsR6HRe3CPaNaSoEwx4qcBwvh6Xvc6ySSZHTOXItO1bLPdiQSZQE9OVSiSftwUQmlT0e2+nXodmVQKUuDLXWWFTbEuGLDOL4GqqMs+J6VJh0AvnvLy9baUxErjoGedo4eOMIwaEHqRTugvPIHmQTcCt4Ti0Vw3z1CbhO7IU9aC9h9gRqeO0Onxoj2Qa0maPRaIxkO6Bi49Oi25+ivGGpMkSh2hhD5VIWPojkOZEoSDmOvOQgwm4CCgio2Umhympkxfy/gHnOSzjBPMWh2hKDMn0oirQnUGqOQG4q881jqqkA11IRrkiNQk5i0D8GzE78DhkE1fkXNu/1P2//hmcXfgctj/FuwezW9v8X27v4WGcmiue+jHflhcUfX8Hj7fy9+q3Nv5Xtz/jWagXymtbwuZfewnv/UxP6OZ5uasLjr/Dkd7+MmdIZfO2vsv9dfGpkCJ96Szno/8j2wTAbMFDgmdDu02+mgIlavBZVRjWKUsR1gJo9hWGj10iIs6DBkYIWLwdLHiev9OvdHCA5cDb79Yrfba1dS9AjCOU5MFuZjvmabEwVE0opWAcJtGOEz1GC45BM0Mq28juBtpCwS3jql0UWCLidXgJrrgdjxQH+78MwgXe8wIMpnjdTEsB8eRaWqBlMFacr/7UHLKjgQCwg1ivWUgLvZLEb85UZClg3UQiLFVeuKUDbRSgdJGD2EKj7czwYJoQO5rkwRvgWX9fRfDeGJQQZ902XpWGuIgtjPL7DaUFfuotglkqhE8G6S1Eslu0Ucg2OZDS4dRQQCWj3GxWL12RJmgK8nQT+Fp7TxjpsTbeizKGFJfoYDt9/Nz50yw24/47bcd9td+Ke2+/FXYTYm2+8GXfdzt+E2Hvuvgv3338fdu7YgUfuux/33nIHju/ehfQkCiRrMhwnDiDuoQdQaNWigbAs1l4B6U4Ct4BmJwG/L9+DycoczFXnYp4wO1uZi8myTObNT+XAiQZCfW+2HVMVGRhivrtZL+08f6DAjbHSAAGYz7A6G2PlAXQTYhsJ6xX2ZORR6DoTIpAUfATBjzyIh2++CQ/dcjP2sDx77r4VCUG7kRK2Dwl770FG5EOoSzqArsSHMWPegRnTA6iIuhtZR+9E4PAtKDhxEzo112DBfQWWfCosuVUY023DpOlq9CddgZJj22DbsQ0lRy9HddiVqA+7CrX8vmS7Dh8tvxHr1mvQf+wK9B66AueTbiDQXofvlN+AT9gvw+nE7biYchk+mX4d/qX+RnzMdRm+U3MzXqy/Bt9vuAo/ar8GLxBkX6zYjle7rsJP2q/Gj2qvxC8Ira/3XIc3xWe2+xq8PnQdflC9HT/ruQFfK9quuBf8c+XV+FLx9fhc7nV43ncNyu7fpsDyl8sIuI034odD9+Ct82H45YUovP2sHj9/LBmvXkjBm8/68NbzOXj3n8rwuy8U4Wfc9+J8JH6wGIP3PunFGyfj8epyDF5b1eLVc078/FEPfnpGi188Y8A7n87Amx+vxD/PZ+NCmxOrjS6sNgew1pCGk/VpSqSLgTQDKnSJhBYtn6W8QaEikm9nezCyv2ipXKZSgbNjlM+2lopj6P59uO+OW7Hj7tuw+0P34MiDH4Ix8jiq/BZkpyYioNHAFBGKqEO7EEUFRV6Dl5jU6Ew3sa0TZGv8Sri5RwmYF6r9OFflU2bhX2hw4VKLLBvtwKVagmwtPyuteKyG4EmQPV9hwUlC8HqJGedrvTzHhXN1mytyrYrfL2F0Nk/LMqViudyC5RIj1isIuWUmrBGCNwjBa6U2rBQTXvm5LpFJ8lOV2KtLpZsh/E7xmqfqXcrS2uO5ZgwS6Pu88cpiKRPZMlFKs+nrm67lvYxKDGnxOZcVBxfybYrrxFqxE3NZMtGTCkOuhDPjOJbN62VJ5AczJhTXDouybLdM5pS8b3BsW2aS1dQkRrayoiHzKaG6WtK0HAtSqEiYUElFNDchBHnxJ1BviUezjL+patS7DCgzJRIso1Goj0KlXsLfxaPJFI8agm8lQVPC4jU749CfJRNotcxLCpYJ1BN8xhP+ZMwxr9N5rDeOh7N8TiNUdsfYBmbLJFKKkXkybC5D7FdjkMcPyeRNjms9ackcn2V8S0UvYVjO6/VwbCOUyyTCZlc8ah3MB3+38P9xjjEj2U5FwfmHgNlzv8clwqr2FPPz/j//sf3095ug+5k/oOT/AbN/wY+efw8Zg5tWW+3ge+h9/k/47fv/yvYG/0/ofQ+f/M7v0ch7/Mdx/0RB/6c/49lT78H4vguDfeH3+Mqb/wnU/zvnKtvv/oSn/ssxxon38NQP//L+n7JtwezW9t9tX8NMZiZm/uX9n9ze++wQMpueJqa+v71yAbWla3hRgdT/dZPzCbDK902wFavtu5/oQe35l5S9/6e2D4TZAUKM+E92E7i6AjJJSCyXZsKNAKCNoKNHo0fcEBzc58RoaTphx4YmAlxXpkUB1zZCVEeWwBMTYa07h+CYY1NCeo2XeHlNQmO2m2CahtFCP4HJTei0KVZhebXfyTx0Mckr/uE8H0YIl8OE2H4CbL9YNnnOGAdLGTCHCKSjhLDl2kLMVmRjgsArQNqV5uI9PYrVtitgVSB3RiyrBN4BwtlAHgfbQi9hmtcqTON5mRgvysBESQb6CdkD2Q5MEdymSv0UzryHxMmVhR8Is+tNhZgnCI7kBTDGNCQQzDoYEEtuuhldVAJkotNQnpPJpbzCFyDv8AnApqBGQNubqkwAy6dA8sQHI/HILhx+4B4c3nU/Duy8Hw/ccRfuueVO3H3T7bj9uhtw50034t5bb8W9d9yGB+66E4/cfTf233cP9t9zL2L37ya8a1BPoHSFHoQl/CjSkqJQYdOgzByPanMilQzel8+oPcOOJp8Jg1Qo5mrzsFBfSGjPxgjrZUieR0mmAq+jRQEFcAfzAwRhJ5+HuFS40Md662Nd9hBsW/lMi5xJcMQHITV0H2IPPozgh+/HIcLPwfvuwt67bsf+e+/CQ7ffhl133oaogzuhDd4Pw7GH4Nx3K3qMu7CRsRfnM+7HhvceTDvuwancY1jNOIKWxNtQcuhK1IRsx2DydoLsdnRHb8No6nbMO67EoPZy1IeqUHx4G3L3X4bSo1crx7eHbseM5jL0RVyO5oPbMRx+FRYirsDZ+Cvxz9nX4/NZV+KCZhs2eK0P267CP5ffjE+nXYkvpl+Bz6ddhm8UXY7v116BF0q24wdVV+LnvdfgtTYCbc1VeKPnevy0/iq8OXgTftp4NX45cit+WHU5Xu++GV/NuxxfLrgcX6u8Bs95rsBzvqvxpO1aFDy4HWdTrsEXim/Cd5p4/OD9+NlGMF47E0KIjcCr52P5qcYvn7bh7Y9n47dfLMevnieonozGj5ZC8NopNf71o2a8vnYCP18PxS/Pq/Hrj3rwq49Y8NaTSXjneQt+98VSvPpMOT47l42nR7Lw/EQhPjpaivOdOVgiII7n6KmoWNDqZbvMslN54SBVlUWFhn2BMNbll8gTVvYDtvtiD0qdRoTt3Ycdt9yCnbfejPBdO2AIPgpr9AnkGuJh46c6iErT4Udw/JH7ECI+23sfgTMuBA2+FCqgJixXE0BrfThZYcOyxD3O1WGj1IizhNczNQKqdjxLzf8jrT482ejGU/VuPFHtwkcIv08Qgh+r8+IjLXl4ujUbz7Tn4rHGbGWymcR17XJHo9ufSAWTUJWdgKl8LUZlWd90HeFNr/gCi1/vXB4Ty6dYU/MMmFXC/dmwVuXGqkyGIrhN5ukxksVzM5gCyZuT0Qhssn+2IBWLEm9X4k1LGD9CpyyQsiGuDxVelsuMqUwCnk/D/q5Dl/iy2mOoOGiViWGDaUmbrgn5Vl7LpoTIG5eJohl6Ai0hl4qgWH1lOd0B5ntQfHOzzWjnc2plX263a9BoICiakgiNRtRxvChNjUK1JRZNzkS0OTUY8CYp8apnmbdxgqssXSwhDTdqZGleJ+vfrvgbLxLO5wXOmTeZeLdeSLCXyBEsgwD/RoULSzm8VlYiAV2nrCK4UWjHSg7Bl7C7nGfGSglhnuVYZB1I2WfSdBjz6TCaYcBIJlO2rPpowzCBfiyTiWUd4jH/EDC78Ue88ZlNcHz27ff/Ura/4buP8X9xQfjZH5BHIPxPmOV/T/C//vcw+cU/4Y13/4yvP/UetDym5FNiztrcNoGUEDr1ezz71T/huy/+EZfWNuHSO/475F36A77+4p/w9c/8HnkCnQt/wK/+D5yLv/4J86Ob537ypT/jt6/+EasLm/l96j+IZAtmt7b/bvszvjz5Xyyzf37fMrvx4ubf3H7+RC2KJ09jjeN0prgiFDTh9Lf/3Q/hf7XMjuPLb30O4xUfBL//328fCLMCY0MEM4FYAVrFl5ICcLCAwEY46/QTcjP4H4GvXWA3z07h5VSsjD0UiDKBTGC2izDYS9AcJGjKq39l4hWvI/6ibV4rOjNd/N/LT7tiNRwimPbnutFB2BIf20bxtSUADuf5N1/p87gmjwEtfsJihgMjRYTQIp7PY7v5e6xIBLObAoHgSTgdLtgE1FHCmADxWCHhrCQNs+UZmCzmf/wugDtKUJ4kyI3wuDEBOMLsECF4iPA6RnAeJ/DOlPmxVJWJpdosxbI8X5OLOXlFX5mLCd5LwHqa0DtfzvtJOVlnArbjzGNfpgMtLEszAaGH9SYwW29To93PfZ4UVJg1KCIgZGgj4VWHwaUJhzkmHJrjwYg7FESQ2IdjD+/EiX07EX7gEZzY/RCOPvAAQnY8hNh9u5AcdAju+FBU22VChwbeqCP8HYzMpEgKvhjkJIQiEHkc+fxe4khGs/gFM4/iFjJWxrIS/ntZx10sc2+BH5NVeRgtz8JUZQ7Gi/k/62Ugx4u+XCoTrMdOnl/r0KGc1/KqCeFBOxGy627EHn4I6qO7lYkriccOImTPTuy95x48eOttuPXq63HPjTfg8I57CUF7mce9qNftwZDxYSw778czJQ8x3YcLeffiQu5OXEzfiVXTXRiMvRW1x65D/Ymr0RZ+Ndqjr0C/ejtmTVdgyX4llizb0R6yDeUHtqHk8JUoPHoFSo9sR2/05Wg8fgUK9lyG0ejLsJxwGRZ57mOpl+MT/ivwEft2nNduw8kEFZ72XoGPOrbh0+5t+JRdhU86VfhG+WX4l4Jt+FbxFXi16xq82nY1fkywfa3jOnyv/HK80nodvlt8OV5uuwkvVlyFl5tvxJfTCcuF1+KrFdfjSdPlBNrrMB9/LYp3XYZTqdfhMwXX4xsNN+O73bfixbH78dLyfnx/cT9+ejYcPzlDoL2kxZvP+fDOJ9Lxi0sa/HD2KF5eCsLr62F481w0frZ8kDB7GO8+GY/ffsyANx8Nx9tPROKdZ/X4109k4scX/fj4mBMfGUrHc6OFeKq/AOsNVL7yCVtpGvZLPfuJmf3Ao/iOT5Tz+VekoZcKSZtH3sKkoDctFS1sn8UmLcE0iikM3phgpCVGIj8lAYWEKleETPrZCWMY25kmEn4qY2n6eMLuMViiglFiS6RCqlOW0lUsmYS0BQKohMKaz0nGHNNUZiKWCnW4SLDdKDVgpUiPM2UWnCux4lypuAXws9KOR+s8eKrRgyfrvThX5VViN08SogYyCK95JvY5G1YqCVtlViyVOjBfYIcS45kwK5E7Nsq8hE8X5rLMWCq2cp8T64S2c00+nKl18zibEqdXlrYV8Fsr529+rlb7sVjhxgIhdkGWhy5zKkv0jvu0GAukKAu9jGUSQr3J6HOLP7JaWQimi6DY4UlEnz+ZYGklIFN58CZuLlXL/3r88opfjW4Xj3dLqDCCLUG7j8+nnxDdzfN6CIfdrmR0OzZX0euwqtFl13G/TDKL4fkEWLkewXuI95/LScUp5nOlkHCZpcFyobhKWLBBoD1VbMHZUjvWCabzhOppwrVMtJvi+dOBJMwR4NcI06sEYQHbpfR4rBFo1wj952oCeKwhG+dYFxslDpzkPWRlNVklTZ7FJVlYhlA7yzLI0t6LrBNZQXGGCpFSNw41hlnOEa/mHwNmZ/6AN96f5PU/TQT7r/u+8XsFIv8TZv+EVQJl42f+y/HvuyQkzP2vQPoePvm793fIJtfltRLW/vg/W3Gf2zz2c394//f/xrl44fcEXsL5f3VXfPsPqOa5/wnbWzC7tX3A9ucXsVZBSBVQZcrr+RT+q3fA1+a4P7sdF154F3/+65/x80+Mozi7B596Z/P/9354AT3/4TP7Ij43VoG1Fzb/+z+5fSDMykSpQQ5Ow7nih2oj1BFKM23oI4gqE5qY5Lv4o7b69WjioCyz/3soFPuY+pnENUGiAAwSjsYJkdOlaQTCNEKpTLSyKxbdPgKw+MN2E4DFKjuc50KXgG7Agnae20pobWfq5/17xPLrNiruDg0OAzrTCZv5Pl7PjYE85pPQOVJA6CLMDhBQZYJZX5aH38XH1o/BvLTNfQRwuY/4zU6WpStWU/k+TFgW391BQqn47cpx/cyjALbcY6LYjaX6TCxUZxB4fZjkA56tziPM5mCKQDhdmaFA7gy/jzIPI8xDP4FRLJid6XYqBITHLB96ZeIaAVbiwHaJtZsQL/UxmENFgfdtJwS3S+gqlrXSpEeFKZVAmoRcfQKyDQnIMzLpE5GlSUCGOg7ZuniUEmLFKltnTUKDNZGfiai06lBp06JEH4MKnlNr12y6fxA0WgjRYpXuZ96Gi1k3BO4BAm1btgutWW5MSrlqC1jGLIyVpLMcYuF28RlTkSHI1rsIO4RvR9RR6I7vQtyB+6E+sgP60L3QB++H5tg+ROx/BAd33I8dd9yBO264ETdccw1uuPJK3HXDNThw323Q778HTeodmHc8RCC9E+e8t+GJ7Nuxbr8N6+a7sZ58G84YbsVp+52Y09+O9rAbUXP0atSHXIm+hMsxq78SM7orsWzajqnk7egIV6H2+HZUhFyOwsPb0BJ+JaqPXw3/zsswGXcZVjT8DL8c4wTfDzsuxzPu7biQosJqtAqPWbYRclX4qHUbPuu5DE8mq/CV/Mvw1YLt+HLmdvyw6Qp8v/oyvFByOX7UcDVeLL0CP6i6Gl/N2o5vl12Lb5Veje/VXovP+6/E10pvwterbsVFw1U4pb8RjUeuRt7DV+Cc7QZ8Mu86fKHiOvxL6/V4of9WvDT1EH40tRtvPRWDH6yE4ZXzSXjjww788hkHfrISiu+N7MHPlo7iZwsH8fa5ELy5cRBvnT6C955JxDuPB+HNU7vxzqUj/B6Bd59KwU9O6vC5YQ0ea0vBpQ4v1msJYEVGjGQRonyJbHcadBBURVltZpvpYT+XiY3NXiqIbJOtnuTNCX+2OGViZZsyEdPMZ25CS4YFbVkONHjtKNbFoljLdkWwrWRbyDclEH4TUZwaz3YZijKjxKlNwWyxkzBLGCR0rhWZsSqhsgoMWCjQYzwjkRCXiLl8HSYz1ZgghM3n6gm8KVgk1M0yz7N5yQRQLdZLdIQzWYpW4FgmUcnSqrJEK5XMcjeTxG8m2BK4lElohFpZdWqV4LtR4cNKiQfL8h9BeVGAt9iFeVlQoERWryKAVfp4DSfmCGszJZsROaZKXZgqkeWeJbSeEZMSvk4mOPqSMZGZSgVBVuMyYoCw2edJQp0pFrXmGCqnGjQ74tBFwJ2hkj+cJiGwEpToID0+iToQz+8S4kuDVlO0suyzhDyT5WQlaki3/JaFSTxajKfpMCH38Ijlk/fPYb9NVzM/AsBM4jJAEF7OScF6rgEb+QbMpVNJyE7CUo4WCwTWpWwDlgnhElVinuVYkgViJNZ1lgmzPEeW/5ZVCU9VEvCrHLhYYVVcPU4T+M9Up+EU628p36aEK5vjcxzLFMs34ZXflVUTxd9YiUQhvsdO1gvLnGNRFnMZfH8J4H8omP13K+z4f04E+9V/tdb+P2D2v9++fu7fr7e5bQLp7/H1939vbn/EpEDl8/8VhP8TXv/dcvq/c+5/v/2v527B7Nb2323v4lN9/43P7H9YZt/C0/xd8T+5DLyEC1WZ6PnEu+///s/tva/MoHb5W/j5F2dQkUfAzfuvVtz/ve0DYVZeOUoYK3lNLj5PslRtL4VZuz9FicHa7iNMBqyQUFjdWVYlBm0XYVPcEMRFYTjPCYkuIJO4BC4VeE3jb4KbCFAB1j5CrFguewmyQzLpi+fJZKhuv5H/2RWIFJ9Vud6YRAPguZ3pYkGyMh9i0U1TgGyUoCk+qHLsOMFMLKFDeV7mnUCaIf/5MZKfTmDNUCyvA+I+QEgf5jWHmMQSO1achsFCP7qzCaAE7F6WS3xoZUKaRC8Y4j3Ed3e83I9RCsvhEi9BNhvzBL458TetysI002xVHmFWJlPxmmKJZp4GmTfxyx0iUE8WZGBcrkdwl3IJNAv0jhPKxwgVAsHixiDB1yfznRilwjBMgBjKlvoyKXkYKmA5CdMCv+LrK3UgFvNBUSJ4jFjWxsSCzvv1s44k5NiA/OZzlPv1iJ+wuFetSuVbAAD/9ElEQVQQ3qWsArRimR0hhPeI1TWbeS1i3VI5GGRehot9GGBeupgHiY9bY1ejyhqHXF0EcpKj4I0LgjP6MMwR+2EI3YeYfTsIq3cofr+3X38trr/iClx9+eW4QtK2bbh6mwr3Xb0Ntj03YsywA08V7cPHKh7ERwtvx6cr7sZFQu264UY85b8Vy7qrMK25BuvWG7BiuwlDmutReeJylOzfjq7IK7FguA79UdswHL0dQ3GXE3i3oStqO+qCmI5cjqYT16Bw7+UYjrwci+rLMBFxBVr3qXAmeRuec23HE4ZtWIlU4ZxeRbDdhgtJ2/EJz5V4jP9/ynsVvpBxJT7vuwzfrb0S3yndjn/O2I6v5lyBbxddhReKr8WX06/CV3KuwVfyrsI3K67Hh02X4VNZN+CzJbdj1XgD+qKvQ86Oy5DzwGWYSroRF/3X45M870v11+KrzTfg25334vuDO/HmY7H46Zl4vHJWg1cfNeLlU/H4avt9+P7QLry+eBivzezEr88fwesLD+Ldi8fw3tOheOfMQ/j1qQfw7inuO7cbv7l0HL+6FIcfrWrwmaFkPNlpx3K5SVnqVGLDjhJABrJ1bCP8zDCg2ZrMNupWJmA2OjcX2RCf2Q6vxAuWUGyykpW4HUhfEb9aM7r5OV6ZxfZNiCxIwyyVVIkj3JNrYRKXHLHyUhHOlcVWdASvFOXV8xihajxdq7yOVyy1xRxXZPENezQG/QkYDhB40gl/zONUhhaT6UmEXQ1BMA4jgUiCbhz7AsEoICtuqZWlkHu8hEhxSXKpqcCFEMDD0eqMY/tP4VjCPEmMZJZDwHBQ4uay7L0Exl7Wh8SAlZXqWt0JaLDHoYOA2uFWb+aVx44yn5MEP2WVQZZ/Ot9CmDUSOGXJ5kRl2dpGiTNrjEWVLhLVhijkxocgKzYM9bZ45iWex7AMBE1xPxCIHSJQytLePczToMSCZT5b9NHodiQwxaDfy3pg2Ud47zE+hyGXBhPM50RAjwm/nuApS3MnYbX0/8XeW0DJcWzrmlJzt1rMkm1ZsmSRJYupmZmqu6uqmZmZmZkZpBYzWCxZliWZLTMzHTOzD9z3z7+z7Tv33Xl+M7NmnZlz33SuFSurEiIjIzMjvtixgQMDwuaQwDrLtS/eCweTfDDMAcAA63SQeYsEViThnaJOEOGJrkhPDhp8MZwVQpgPQg/bgw62FXJPfRK6mM9LjOAGxX9wMsGXg4u2UEdeT1yVeaFJw2fJ8pSr5H63oZiwXi/3IUEmgh0J1DwuxIPP0VXxmFEbzvqO9EAVB0Z1vL86Qu1/HZjl8od+rGIINr7v3/Vo/0cw+91fceHgzwj8XWf239O/BMz+N/z4+q9o6v/p33Vm/0gTMDux/E+Xz8+iLKIa1/4jl759GOkR3XhcURP4G262RqDwgf9+5CTS2v+8DT/fRndhN25/x3VsG24yz799cAKFOYf/1HvI/53lzyWzBFRxnl/DVC0utZjKQkRK6oUSrvPVYhzmR8AUOPJT/MSKD1oxuqoMVrEj80eLSDQFtJiqCVQ1IqX9He6aBdRE15awJutOgqQYT9TzOIG6NkJVh+jFEria2eE2sqMUoBQjsSaB0xjxLBDB/SFoSw7hfvGMoOKxAWhPCWYKYYcbqngeaCcotkQHEvBC0EVgE5UB6YzFmEuky6Ji0MyyVrMc4pFBpMWiCiEQLtcS3dv6SAFjf8K5PztrXouplddtSxZQ1ipJMWITdQpCZD0huoFgLLq6ItVuFz1bkU6zzB28JzFcE6l3HQGxmfXRxvM7RNWBqZXbW3kv7Sxfo0ht2WFXiBSXnVolQbWWgwGR5taxPmsJ9w0sr9x/exJhOFak5syTv9tTIwnpYWhl/beJYQrLJ5LoroyocW8MAvAcdAjgysChPZVlJ4Q3sAwinS5h51QaKiodbhywCKz4IVftiGx2Tln+Noh3M0Ok405oLe6H947V2Ll8IVbMnYZFBNhZBoaYYWgIU10DwqsujHUFaPVhqKPHffrYtdAUOZbzsF+zFPu1i3AxaT7ORk7B6agZeLxgIS7EmuJoiB5OBBuji0DbYmuEblcjDHoZodFGDxU7mHYaoHCTAbLunYzs1boo2myI/M36KCe41lkaosbMkDBpipRV+ijYItJZHXRa8ryNumjdRZD1nIxTTL27JmHIdjIBVwejBOJTXgY4pzLBEV7vgt8UXPI3xAsZxngySg83AvVwzV9vHGJDTXBVY4SHw0xwQa2Dm9EmOOiqj9OBszDsMQtHYtbiSMIunEjdiQH/FShYZ4A+d1NcTZyKZ0um46mCaXi15i68WHUP3h7Zjo+POeGjffb4+IgHXqhdjSdzZ+KVmvl4u2k+PupajL/0LsRnw3cSZlfgmwN34rOuqfhmeBa+2z0fP4wtwreE259ObcI3Ry3w9m5XXCh3wWCSGzqi3NEV74nuZBU6kjggS/BVHPyLG6nOVA6K+J4X+rtx4CbfLL+/BD90pASgJyUQAxy87S2Ix96iRAzkRvHdCeOALZxQFIGR9HDCMgdtBKWWGFFd8MdITgQHdyHoTmE+BCQBmhYCYifBUCJqSSSqLm7vjpbQqwK3zugihHVHSdAE0SH1hoRZHYrncQS3thAJb2uDzkiCbowL4cpJCawgkkyZppfw1/UhhFpCVV3geIQx8XdcRwgUaWiprzXhyoGDZIFaiVxnr0TtKuP2Mn+umYo8zVBJ6GrmecNimMUydzLPToJZH8vTF0eYD/FSAn+Ua5wJcnz/PQiwXtYo9HMh1FozTycU+zqgUdzVccAnAVRawwTM3dFOkO+IEqMqCT7BwUCsF9sCMfriN0ugbOP1mgT2BeRFIizuwFin3Rw89IueLf9LNMGBJAlL7IM9BNlB1k9vHAE03hu74zywh0C7P02L4VhvdPDaPbxeX6xEZOPz5u8agnqDGHkRiOuCnAmXzmiRwYuK9eVHiGYdtQqoE+7LfM1R5LYdpV7mih/dmgBnVPo7Es4deJ/2yHXeiWIvCyWqnAxIGtQEVpUlWkVlItBRkV53JrLOCO9NEgaZMFzP5/FfCmb/8FwgAPvfgS2X/wyzv+uk+o0SNj/8O378aVwZ8F9GMvvqL/DjcWXnf8MH3/2d9SwbJySzE8v/heWTsyiMIHj+x9dCgdn/fdure5IQ0XqTb9Afyyc4kfefJbN/wwtDOeh+4ufxPP/dgOw/Goj9P1v+FGZrwlSoDJKwph6Kfmz5H6AqklgCZzl/VxPuygm2xRpRM/BUVAJEPaA6XNxtMYX7sUETvVPxUjBuhFVP6Grguk5UFgi9FTyvMtCTcKpBh8AhgbOJx1eHiCGYDyGa+UX4KAAnfk0blIAHosdKyI0lkBLUWsS/I6Gshfs6kglsBNmONNGVDSEgizSU8CiwRphrE4iN9uP1ZCpMfM/6oTFKEssjkmJCZR3/1xNmGwi3dezgBebFhVYzr9vEJPdVFSp6v/6QyGXik7WW8CkutwSCa1g/Uv5anq+49RJftNHjPmUbIjRcj6tuiIFdjejVRvLYcB/FZVI94VTgVcL7CqxW8f4lf4lcVi2+bCUiWYg7EztX1p9cS6Ta7YlBypRrq8ApYVY8QdRy4FAn5WX563hcnagyxBK8CfkNrLt6lk8k4BLxrJLXryCwiuGepAqWq5QDmXJeV3zjCtRW8fqF7Ajz2Kll+Fggyd0Msc47oNl1H6xX3Yn7FkzHvfNmYPncmVg6exYWz5iB2UYmhFrC7ZQpmGlsjOkGRlg+yxReK2ei2HwmTgbdgbMxS/Bg2mKci5yBfT5TcDTQFNdSpuE04fBUqDH2qAww5G6IATdD7jdAj6M+mgmmbY566HPTRz3BNH3lZGSs00f8GgMk36eLKgsT1FtMQel2U4TdZYDY1Tqo2zUZPTZMtnqo36qLEbvJOOk1GcM2Ohi00uF/A7Tt1MN+V2MccDdBj4UB9jqaYJ+zAa5HGuN6oAEusiwHbHVx1d9IAd69BN7T2qk4FWyKUd8p6HKdikHfeRgNW4Un+jX48EIWPr6Ugad6CHuuC1GxyxjHg0xxu2gmHsmagucq7sDTJXfh9e6N+PSkGz7YY4P3xuxwI2kWnsqZihdLpuH95tl4t34GPumeiy9GF+KbPXPwzehUfDc8BT8dnIdfDizCT3vm4dshpr134/tD6wi0dnilxxOHs90ItN4EJ5lOJzwJ3BA6OzmYbOM30Mj3U1yu1fF7lW+pme9qd2ogYVQGX6L76IuB9Aj0p0dzWzC6k7RQwiynB2FvdjjGssMIWFoMpAbwGgHoJ/y2Ev665Nw4H/TG+2OI+8QbQDvBtTPSFR0RbgQpRzT4WaFFpJGBdmiSyGJhDmgJdyTkSgQwG3QQYjtCbNEX5YIBgtsQ85R8OqI80EXoayXkNTG1xfGeBBAJnm3hLkoo6S5CWydhqoWgKCoJPYkqRfIo4C2AXSO+dUPdOND1UZLovbZHeGKMQNjHcxs5WKvwsEItIbCR0FeukcAgIk31JqjyGxSfvQTYJn6PTWIAFc1r8/xuntsVTnAnwPVzYLmX9z4cT/iMVTFfX3QR7NvEpy/XPfEcxEf78H54LwROAdwOKY94GmB70c5vUqIIChyKpwSpd3l+7eLzNoZl5wClXeqDddoe5qx4KOjhNXs46O8RfWiph0QOKnjtyoBxSXupxkYB/JoAJzTzu24gzNd4W6BBpNK8j1rCaAPrUPR8G8JcFQ8P9bz/phAZPBOKWX8CxXXiU5rPrDnEHrV+Fqj2NEeNlyXqNbYEeg64Q11RzsFEhdqe7R3bET7v/1owC/z1STHi+hlle7j9P/qe/c8w++Y4LP73agf/wINioPUvALNvnWY5/vO5P/2GsgmYnVj+T5cPcDgnAoUHXv1dzeAT3OwgvNZew7+jKuG0LCoJbQ9/+R90Ztvw+H98lf7CYzpuQlEo+Lf/XTKLv/y/IJlVHOezMa1mRyfqAmK0JIEEKoIIUQRW8d8qqgMVBK8yQm9xgKei2yoS3EqCkwBSBf9LuFqRylbwHPE9K54OBBobIwmVkUGQMLICiwKNAqkNkQHcL0ERVCjjcQVaNyWUrrgHK5LQi+xMBJRFf1M64CoeJ6oQijSSDX8LO9JGmW7/HU4bmG9jpIChXGMcIBsIbR1s7IfzopUIR80SapapRYCY0NsUo+VvDeF1HHIFLmsJj/WE2JYoQiDXtXKPcq9SN8xP9H0lCdQq9cVy/mEIJ67GasO9mY8YragJxloFlgViJTWzjOLKq5p1VMn6EivmKt6TeHRQAjYIzDKVshOVkLyV7BxEUlpF8B2vOwF8AWSWi9eui5RADd58BgRl0Q8WCTHrQMIASxQ0RUdZoJlrMfCTwYL4iS1j3jUsa5lM3TKVchBTHOg+7m6Nz04ktYVigBLsqjhmj3LYgQDz9bAnyJotW4htSxfAavUSbLhzAe6ZPQMLCbBzTYwxb+oUzJtminmm8t8IW+4wRdLOWRjxm43rKfMJdzNxWDMNZ0Nn4ph6JobcpmKv/1QcCZmKh2Kn4cHoGdw3DZcjp2PMQx99hNleF30c9jfEYR9dHGFqt5iMss06yFhLqF1vgJwtRijaboLU+4ygJszGrNVH4dbJ6LWfTFjVQ8t2fXTs0sMRdz0cIBAPE44HbAxQt1Uf7VZG6LUxQru5EbosjNBpqY8jahMc8dbHHhcjVBGEex1N0WIzFcWE5dNZ23G7zw8DEWuRbzkHbepluNXnj1ePxeCLx0rw+c1iPDeswdUqW7R7zMeQpykuxZkSZqfj2bJFeKZ8KV5sWYPPjjvh0wMOeKN7Ox5OnIVbCUZ4uXgq3q2djnfKjfFJqyk+aTfBlz3G+H5oCn4Ynoofh6bjux6Cbe90fNszG1/3zcNXQ3fh+4Nb8NUBZzzd4oWj+X4YzQrFSGY4egVUCZ2dIsmXmQEOEsW7gehulxFaJKJbE6FIJLct0WKd7qZE+2rlIK89IRB9BNqhdDGMItBmiuSWoJrkj+HMEOzOjVakuAOZERjJisBgSqBirS8+V1sEfrQ2aA11RF+8N0YJZV0hBDDm3y0W9rHu3C66tB4YTvBk8iD8uWJA9DIJ4sO8xlCKRtGF7SSMSxSyGkJgcZAEhnBERaADy0kgFAk08+iKdsFIMgGSECvS6Hauu6N5nUQBbEJwsB2hzJn5EZCT/VFCqKsIciL8uitRzPr5XVSpHAh+hD8VwVYMvAjAHYTPTrYJLQThpgCCOaGvh/XUQxAVABSVgkYO9hpZpiYO/IYJnmKYJV4AWgLE6t8VLQTEKsKwgGILgVHCzDawLsR1WhfvU9yEtXHg2C4DaBm88tiaEFe2RbxnCVZC6KwSndtQJ0VloTaEYEo4bghxI2wTPNnWNEd6EUolIh/BPIpgqbVVjM5K/AmcvFY3wbozwh0tfCb1vhYsry1aONhoJsh2sH66Ejj44nkCq63BjugQdZFQZ+XcRv6vV1srA5E20fX1t0ITwbXR3wF1YjshUcl8LJHhvBk57jsVX7Zi1PZfDWYViWuTgOBPyLr+9983cvnPMPu7cdi4p4Hf8MTTv2JkkP95zL8CzI5D+bjHgyekfNd/QUHb+H1NwOzE8n+6/F8ImvDzm2fRljnuzSA2sw1n3/yf68F+9/+mzqwYXAkkKQZfAkKEWAkAUMYkEttyJoEhASYxAhOJrSTRaRWpoUhUKwV+CUQCtQLCpUEeKGXHWcFz6wixtWGEUe6r5PHlTGVBPE4r5xDEBOAIrALAilSSDXQVO1yBvFper0HcQwnMEaorma9E3KqVKT424nVyvEC4HM8kUbUk1RDaJPJOHTuIDrF4ZgffkiD6wIRrduoNopPK6wr0ChgKyDbIfwKlXKMqkOXmfYjqRa1IVAmr9YRAgce6GD8lyIAimWU9KJJWnj8uAfZVVAoUaSw7qEbC8jjIqpRtootczfqqCuZ1pD4EWkPclToQzxESPayJIFEnRm6EdQHVena4tbyfKh5bQ0Ct5XkNiuoB8+L9iQGe6OTWKgA9LjGu4nGVEq1LVBZYP+KdQmBcDPok5K7iUkzUCQRumVcpn5N4pJCkhCHmeYWBEizDEUkeVvDfvh7Wy+6A7aq7YL9uGbatWIT1S+Zg+azpuGfmNNw1YyqTKRZPN8EsIwOY6Ophmq4udi0xQqvfYkW14JHMGbiVNRcXomfhoJcxBm2M0WFrjGZbE5TtMEDxZl0M2ZmizcEUAx5TCL6z0GRrgILNkzHgaoBzwaY45K2D4xodHFJNwkG1DjrtdZB5ny7C7tJB3HI9JN1njIwNxshcPxldDpMx6KyHRjMDVG7SY956OOihizEnwqydAUo36qH4fkPU7zRB5Tamzcao3WGEZntTNFoYo9piOiotZqPL5y6cztmOnuD1eGw0Cl8/242XjhWjNWQjil3uxI2hILx6MhFvn8/A59eL8f7pBLy6LxjnCizQ5TGb92KKywkz8WrtMrzach9e6diA93ab45tTXni5eSMejJmCR6IN8HbFHLyaZ4J3CbMf1RngL7U6+LLdAF+3G+HzBn18UqmPDwon46MKfXzTMQvfdM7Gl93z8d3Yavxw1Ayf7XbGzUoP7M8KxJ70CMKYCk0EohqtO+r5DrQninReBqhuHHhKUA0vgoyWYEVIJTT2pnAwFM3vise0xKv53WgJf0HoSNAoUtHWOA7YCHlNBNYubh/MiuL5ARz0ER75bXXFqtCpGBrJdD0hUdw8EYT354RgX3YohlO0hF4tBlI4GBB/sBlq7M3S4FBhKIaSxPuArwKkPTxXXG41RriiWGOHDM9dSGYKt9kAzfZ7lQhWVWKYlCpGW+LzVXRz+T0TKisJe4UErgLvrfzGHdGZxPv1W4TWMEfCpB3fcztFVSbKeRuy/awU/doetg+tUfzmtfaoJyi3MO8m8dcaQ7gX/Vvm28lvqZNg2SPqEYToZsJxrdZOgdV2QnqXqHcQOEfjPBWXWI0Bv0s/RUpKgG1kuVoV6afAKMGYddQSwwFEJLeJ2gHbCFGXKFHbsd11JLhye6SoVXCbn6UiZa0KIRRLefiMWgj3tQTNKo0tr2GHJubZzHI3RzjwejaKgVkDYbuT4Dskz5HX6hFpOQG2kXDfEeWEgXhXxbeveDLojXZGW5AV2rTW6OT+Zo01mvi7T3SaCdEtAbZoDbQjoNuzHtwIvARq8cKgdkCFlyVqWL4WUbHg8xcPB//lYJbLB+e5re4/eAaQ5X+gM/vjm7+iRvzTcrstwbbg/F/xhBiRESqf+N0F0f9XMPt/8IHb/jP2v/TbOKjv/wNeJ2B2Yvmvvfy5ARghRySvIgUVKWlNqEgoCTmERwGoSonMRdgSyWM1oVIMwcT9lICvTI0L0DVGatk5EnSDxiFNptQlEIOslX3hBEDCloBnJfOvDiFwBRLQQiRfdrKEvkqCYw2vVcNOVvRLFfBTwM2fnQuPkfMJzFWEv1o2pgrQCmQS0ATIKlkWmWav528xomqMZQfB/RI6tiLQlWDnxnIT8oIJ2fxfE+WjgKCoHoi0ti2OnWNCMDtB/3FDOEKpqDOIFLeR+dQRjht4jhhfic6uTNuLukAd4VtgtZmDgqYYkfiKgZbUjRzzO8CGi/9egWHmw21iHCfQKUAqEuTmeImS5jcuTZZ82AE1spOtJzg0SThRgkkz97XFaxTJmUwZ1xFEpTxNLHulAvq8BssjMN/Ee5JnVx7IexfVEQ4gxKOERGKTa4qEW1ywKfUmYM3fcoyoexQT5hVrd60zUt3NEWy+Dg6rlsB53UrYr1mONfNnYvkcU6xZPBvr75qL+++ajeXzpmKhqRGm6elAf/Ik6EyaBFOdyQjcOh0nku/GrZwFuBJtjMezZuF2wVw8mjYXR3xmYr/vHNRZmiB7vS4S1umjysoU3e7TMeA5BXvVU3AhZjb2BU1FG+GzepsB8lbpoOD+yRhzn4TTQZNwNXIyzocbY9RNDxVbJyHhnklI36SPgm36zFdHkc62cV20cbKiojDiPIlQOwnt5pOQf98kxN2ri9iVRohYaYKMzSZIu98YFfbz0em/EseSt+FM5nbcqLPDW0dD8XgHO+mhCPzt/WP48YWTeGF/AbqD1mAkZRMe2x2M107F45snyvH1rSJ8ciUbL++LUSS5ddZTlIAOz5UtxSsta/Fm31YC7WZ8MGKNJ4rvxYUQYzwaa4yXc6bhlQyBWCN8VqePDyt08JdywmvJZELsJHxcro/Pue+LBhN83TIN37bOwOdN0wm0C/HlwFJ8O2aG5+qsMBZni34CYZkXQYfvvgzQxH1cc4wKfakB6BJd0ZRgphDszorESEY4ujhwaiUg1YleapR8Vxw0EnhFl14BYH4zMphrjed3z23VzLcrMZjfoxsqFeMs+aacCFsShcyL34JM8bvz2/Ig+KrRkxaItkQZNPP7JfRVESqbQuwVXdo9WeL/lUCVyIGWuLsiNFUS1LK8zaHZsRIB5msQYrseQdbrEUagTXLfiVLu70wLwlBWuKJW0ZVAuGM58v1tEGaxBgE7F6JIY0EQ9yY4itqDC7I8tsNjw3LsXH4nzO5dTKhdizytFevHXtHBrfYzQ42/JZpCHSE+aFujXRVVhy6BWALrYIw74dCJoO6BvlhComL1L54bJNKYuxJC9wDvY4hg2U4AFMl0M1MLwVekno28RhOBtFZULbhNpKEi+WzksRKxT4zNRMe3klBdy0FDbZAzagiLZYTZfJ+dbL9sFclrXbiE2SVwhzmh3NcMlRorDnLF8MyWcGmJesJoK+u1ifXcKrqzoa6EdCuux7fXhNjy2dizXhwwGOeMoRgndEfYoS3QEp0E9K5gB7QT6juYZ3+UC/oI8B0sn6iNiNFeF8F4kM+qX9QjgnmvLGsXn9tInIQz1ijS6X9tmJ1YJpaJ5b/y8qcwK1PlIj1sZIcnVvMyVd0g09LsBAV6xCOBRPkRiWkdGzBxyVUjeq0iSRVIImQq8BclEMgOK8SbDTG3E6YaCFyyTwBLpv9FCtoQqWFj7I965i/wJZb3IhmW6zeJlJjXEfWAWpGsEq7qCLy1IVwrxwskE3gJyg2EaZnCl3xFVUKm4at5XelsZZpOgjYIdI6D9ThI1zHfegUCeb+/6/Q2/l7uBh4rEb8UdQWCrLjxaiAQCzAKyFbL1Bs7dtELk3qpJ8wq98a8xf2RQHgDIVPJW8om3gcE4lnmMnGRpMCwSGwlT94rry/3KzrC9QKlLG9rnJqQIH5wgwgOsl+mgAnUAtWso+6kYLSLcZx4TRDwJRzL/VQLiAYI4Ev+ArOylnKPPydRMRBd5jqWS+pDpNjiJ1hUQ8oDZEAikl9PxY1Yob+zck6+nx0ibDfC7f67YX/fMuy45w6sXzSHMDsbm5ctxv1L5mHlghlYPM0QUxWI1YHupMmYzDSJMDuF22J2TsPVnKV4smgRHoozwfW4cZdVZ0NNsNvFBPtUM3AieDZ6nacic4MRgu41hO8KQ4SsNUL4vXrI22KIMjMj9DqaYI8bQZdgmMVtFZb6aHXQwRGVLq6GGREIDXDcRwd7nSYzX0M07STcbpmMVis9dNrooXSzLgoIzC1mOhgm4A4QaBv5O2qZDkKXGCBq9TTUuS9ET9DdeLzHFk/3u+CZPjc83euBhwiI75yOwjvnk/DRtVz849OD+LePzuDnFwfx1GAQRhLX4YF6Z7x9NhZfPZ6P758tww/PlePTm4V4/4FU3Ky1x6HQRTgdOQNPl9+L94Z24Y22jXi9dRO3zcJxX11cC9HF7QQDvJSgi4/KDPBBkS7ezp6Mt7MmcT0J7xdNwheNxvi+exq+75mOz+uM8W3nDHzVOhVftnHdMx9f9a3Cx8N2uFzookTNao0SiSoHV/K+iNQ/0kvROe0WP6zJooKgRXdiAP9r0cVBUnusH9oFamP5LhJma0Nc+V65oVm2MbXwWxAobYzid8QBZQvfTdHF7eG7KmoM8ruTebcSmhtEIkwYLlA58B30VNSCqkI8+I5xcBXggjx3K1RrndBICG4l/DWFuyjXbQh3RwPPl2NFDSLTw4qDMQm37aR4V6nh91cu8Ezo7kjg95DAb5egKYZfpf52KGYKJ/wG71qJIj8LtEbymw22UX4HWq3FVg68Vs2fhuWzTOCyYQnyBTAjxcerBap9NqFJY00wc0Evga2X8Lo7SUXY80R/mCuGY5ni3JnETZU3xtJET9Yf+wixBwmxxzNUOCoRz5JVituswUgX7E/ywf5kXw4wPDDM64zEEAgJz72RBEVCZF+kI0HZAX3RLmgnbLaHOqCbwDmeWCcES5EoN4RYo4XHtUU5oUZrqXiFaA4lhAuMBxKUCdw1Qfb8lq1Zx7aKZLZKbYMKMYrzt0ax93aU+hKICb7F/mYchNiwfbZGbYAVmvi7PdxWuX4vwVXueZD3N8DURWivYf7FftZ8Dvao4T1ViLoDQVokzR2E5U5R15BBi6g68Jj+OLcJmJ1YJpaJ5Z+2/LmaAYFIoEgASOBKATECj0g4RbIp0/VVYhQU5kEwI9SxE6sIk2nsP6bgCVWSCKzNhEtJjQS4OgFOATUmcavTyGPE2l8AVslbQJnbxS2YGHyJUVVDpJodqDcqg7iN+Quc1gRJNC3ZxnJwm2LtH8wONVSNGjG+IsTW8BzRQ5XjJYmnBAE8KZ/cm8B0FfMRQyi5X0U1gGURcBVJbD3zqdR6KMAs5wgEV4t0k/dcw3uX+hC3WTI12ySqD8o9jOvAdiRIZDLxUaklQMi9ixGZ7CNAcC11qERbIhy3Ei7E9VkDyyfSsq5EQitBoYkw26pM14peIuGA+bUSLloJCK28hng9aCOQdCYEKiF9RUIrEmUBVnludYRTqYMG1r1yvwTTBoF3wqwCyby23LtIv8sCPRRvFaI7KVLZGgKwAH2Z1gXlQeJ/1Bm5PjZIcN4O9c41sF59B3asWIh1d8zClqXzsf2eRdi4ZD6WzZqGuUZGMNHR++8g9o80Q18XiTtNcSllEW5lzsTDhNkHI6bgwUgTXImcghNqUxz0mY4D/lMx5D0N/V6zUWMzDXnbpkC70hgO8/Sxa74+vO/QR9wqQ5TvmIIWa2OU7DBA6no9hK/SRf4OY0KpIbotdXHWWweXA5mCjHHMywhN23XQZW2APjtjVG41RN46Q+Su1UO/rSGGnEQXVh85G/VRYDYV3cH34GT+/bhQej8e77TCw41meGbIGS/vU+FWhw2e2+ONF0+E4u0rSfj6yTL8/N4e/PbWXnx2sxRH8new/lfg8VFffHA5BV89XYYfX2/EN7cr8O2Txfj6oXQ83+uKMwl34GbRSrzZux3vdG/BawTa3b6m2Ouhj0u+k/BkmB5eidfDmxl6eDF2Et5Kn4SPiibjw5LJ+LxRH991meKHHlOujfnfEN90EWRbTPBpvTG+6piFD2vm49P+7bhVbofhRMIF3y0xFhTXbjIILCdENir6lfwWI+W7FONDMZQixPLdaOb7LO+2qOaIO69WAd9kLQazQtGXwnwImeJLVkC3KUKs8Qm3CSJVDUIn380+gvFgcjC6OQgTSW8n398uUT8g4A5nSIjdIPSmaAjQWsKr17j6TyoHbuLei6DaESfvv5bb1Wjjt9kWw2+I+8Ravi2WA+ZonhNHeBbJcirzEQ8BcfxeA0Qn1ZFQ68xvzw353lbI8tiJIh8zFHpuRbn/LuR57USEzQb4blkB780r4LdzJRJcN/MbcFIkje2BjuiPcFF8uO4ljO6XgAEE1L3JPoRVwmmsJ3YneGBfqkrxz3owwx/70yXYgw/2JLjjALcfzQvD3kw1jmRpeb4ah9O0OJ4ZpKQT2QE4mavlNoJviud4SvXEkQxPHEr1wLEs/k73wOF0bxxhXvsIzfsIhbvjnFgOJwzF22Mwxh4DTF0RdgRHe/QRbMXH7EiSF4ZYzk4CcUu0M9sbQmeQFcpUu1ApbsAIuBV+ZvxthtpAkd5aoJEAK6oGDaJSIOoL/C/QLxHMRL2iI45AzzJ2xLorfnTjHbYg0XUb0nzMke6zC7l+ligLEC8TAtvuGBJj0wAnVPpYoZH5TcDsxDKxTCz/rOVPYVakhQJEjZEyHSnSRkkCqOMwq+iTinSS4FROEBIdTDEgEr1YMXwSgyOR7ClAKTAp0lqR5IrKADvFylA3lLOzUqbcmZcETRApqnIeIVOkgeXMqzxQpiCZd4C7IiWsCiK4at35XwzOvHg9AV8v5dgyrejiilRUdEUJloTDcahlmUMFUANQQ1BriBDgI5QGjcOu6N8qcEmAE5diYpSmeBzg+eVa8QspBmAqXkcF8eJQLj54gyVUragGyHXGgV/gVMC8LV7LDp+dOTvydnboTQRZSQKxjbxuHe9PgUz+b41hgy/SZ8JDE/cJpAqgioqDQEQzU3s0jyHA1oa5KbAh6hJNIk0WqS8HBQLN4tprXJIsQO2jwLPAdTXrSwYJbSJJ437lmcqzlHIRhkV6LNL1Qo2bYvglbtZE1UAGCCI1rlKelydKA10Qbb0R2p33wX7tXdi6fA423j0bZqsWwny1gOwc3DHdFFP19GA4aVwaK/A6+ff0x+8ZBjrIdJiBWwWL8XzZHLwiOqGl8/Bk+lQ8kjgV50JNcCFqOk6ETcOoajpGPKcTMKeikdBasHkK4pebwuqOKfC62wTBa4yRt9UYpeYG6HbQx1EfIxzyI/jep4O4OyajcosOjnpMwpUQPTwWPQVXQ0xQtUEH1dxetY3AuskQKWtMELHMAHU7jdDnoIcRDwO0uRihN2gGzpdtwK1WC5wqWIkrtVtwpWoTnuyxxdvH1HjjuBovH/TFS8eD8frFWHxxMwu/fTCAv398HH/9YBQvHg7iu3wXhgt24vULafjLrQJ8+0IVvr5diu+eKcOvr9Tii+u5eH1MhSeatuPppvV4d2AH3urZjF4XE4w6G+CSSge3AnTxQqw+no+ZjNvhk/Beng7+IiDboIfve43xU/9U/NhLoO0zwff8/T3B9qtWU3xaN4VwOx0fVM3H2/VrcCXfgmBDUImS947AGi0DOTdlINYiMytBoi/roXgzaOD70yJqPCEcxDLV8DuR706+dVEpkAGaAGY33/M2ntsR64subm8W6SzbgDp+G8pAjHkJhHaKegyBuTHCk8ewTQh05TtOKJYwroTX4VQt+vm9tEs+CYRZwnJXAq/P964t2keRtHbG+xKExQuDGIDxO4n2INh6MR+5vh96Cch9KWrC7DjkCszKlH17lAuaQp2VUKs1AY6oD3RCuZ8VB6oOTI6Kv9Ri/i9XizTWjVDtowRVGEsLxKjo9xKMR+K9sSdZjb0pWuxJ88eAhLclVI4kiu9Wd/TEeaCHsDeU4IkegmN3BOEvTHRQHTGQxnKLQRqPEQ8MXTHOvGdX9IrrsQgnZcq+O9wOvdzexd8dfEZ98QTSBEcMJzhgKM4OB9O8cCjNB2OEybF4RxxOdeI2J5bHnoDshP2JDoReL+xL8cD+ZDeMxtniUKYn31t/HMjwJti6oz/WSSlTU4AVxIfvQCIHHpFipCZSWGvUa83RSiDuSRAjMifFQ0NVgA0KfHcij6BaEWTN98OWz09UIOwVTwWprjsR57gNMfabEbJrFTK9zZDva4VSf/EbzLpkW9MqM0AcENcQcCdgdmKZWCaWf9bypzArklVFcirT2aLvSWiSTlCkfmKEVSXgwyRT+6KbKcAp7pzKuS7n/mJCYJHGVTH2EhAtZSrRivGGs2JMJZLAIgJUMWG1hLBYwnWFwCVhU2BUpKz1kWpeT6SmBDmBRsJYDfOrJLRWaHhdgqp4TRCPBqK3K/q9op4gkCkuv0S3tjGSoEoobZKABHHBSn6ir9sYpeV5ErCBefNeFZUD8SYgHXcwwTVofJq9LFD0SwnfBGnRJVVcWREAytlIC7TL+YqHArkOf4secCPLoLj/EvUC1km9SIxZJ6ICoNwLryfS0iZCrHhNEAiWehQIrSdYikFXpagHsC7qWBaB5SqCZYVYBbOTkHCkdQIFfBbVArQEW9GHreF1FKmzSIIJ1XIdUSVQ9HxFEqsAsZwjLo3Uvz9DUTdg/YmHBp5Tw7qRUMNi5S5JVB1EAp/mYYFImy1wXbcUO++ei133zIMNodZ27R3YtGQ25k8xhBEBVl9AdvJkRT/2D4gdB1nZNhlzjAmR7nNxI28hXqyYhxeLZ+CN6gV4nb+fSZ+Fa2EzcDlqGk4FGuOwvylGnEzQZW2Msk3jYWn9FhsievV0RNw3A1H3T0ON1VQ0OExBt7sxzoUb4lq8ES6HGuHhUGMc9zHguZNw0HUSHgzQw5VAQ1wNNcCY02TUbtZF/NLJCF+qC9+5k5C+UgeNZno4HGqKi/kLcaPpPjxcvwW3B51we9QBT4/Y4ckBUTVwxOuE2Jf3++DNk1q8fDxIAdo3TkTgx1db8NtH+wm1g/jH+1V4Yo8Mxu7GpR4V3jyfiI8eSsf3z1bgxxcr8be3W/Hza0347bVqfHwpFq/v98Cb/VZ4t3cbWq2moG27Ps47T8ZFDx08rNHFk6GT8GL8JLxfqIOPSicRZnXwXY8hvu82xndM3/cZ4bu+Kfixayq+65iOL5tm4e18U7xTMhtvVt2DE2lbUB9KmCFgiv/PxijRY/XmOyHfm+iPO/F78xyHXWWwxO+e30pDMI/nAK8lWtoAvmMcPNbynZMBVxvhUtSGCv0cuJbABDIr46GArOhsN8ox8YF8D8XFngffW4KuSIF5jcpgwpJY8YeL4ZO40OI5fMcbCLyirlDJdkKCHwhgK4As1vqR/J55bBNhtTLIke+lDIZZHjmPeTdGigoTB3zhLoqFfyPzlkARXQkqgq6W1xFpM/MIcUFjmBNaCHWt0W7oSBTprheG0jQYTvFDH38PEGBHknwIfs6oI/CWuO1EocsuVPnZotTTDEVuOxSJphhO1WqsUOtnjlrVTlT67EBjoDXztydAOyh6to0SqCHADuX+Vshz30SItkMLAbuJebX426HK3QpV3naoF1dfQbwnjR2qVebMi9fz2oWOUEdFV7U9xAZd4bYEXAJvlB1h0Qb9CfYEYRuCrQd2J4rOrui6WmAw3g57k50xFCtqArYY5LovygH90Q4YJkyPJrliKJH5xHA7z+mMtCX827LubNluEm55b4pUlgBbHWiJhlDCPvc1hlkrhnNNwU5sZ9l+cxCU6WGGAm8LJehEhZb3EezI+xv30lAj71WEO5/lv7qf2YllYplY/isvfw6zAlYEPAEtAckyRVIqBkBOBE8XlArkEUorCKm14Z4KqCnRvQheMlUtOpYKzIrUlCAobn/E5ZQYEEl0MXHnVSQgKx4SlP3s7HheJSFXDLpqCZJNsaKnK3p9/uwECWfsYMWgrF6RvIo/V4FJwhnLWif+WxWDs3EVAel4RTIp60Z2xBJ8oSk2kB2plh0ugZcAWkmAU+A7RGCV1yfMKtHHRDJJMBQPA4o7Mnamim4wry/gKioPf7gsqyLIi7/cBoFBlkdcdsn5oqMrnXAjz6tnPqJDq7gLY6rhvQjMihRaAjeIbrJIraUM4imhkfdUKwZtBIca1lE167BSYJYdeykhoER0DHltub6oV4jqheLBQQYXXNdIWRXQZnlEgktYreSzq+F9il6vAK6oVIhebpWADEFE8X7A42TqWaS1UpYyec7srPJ87RDvvBO+21fBYfVipkVwJsQ6EGa33DUXi6Yaw0RXF7q/A6xAqwDtH7//UDWQ9RSdyYi2mIHHylfgldoFeKlkJl6vWoQPWhbj/fq5eKN0Nl4unItXy+fhybR5eDB8LnbbT0WfwzR0u0xHjfk0ZG4yReiq6fBaOhX+905B+rZpKDE3wZCnEa5EG+CFHGO8W2qEJ+J1cdxrEm5E6+DVLCO8mGaAF1N0cTNoEk64Tkb39slo2KmL8m0GqNysjwYzI/R7TsWFnKW41bwTjzI91WuFlw84443jHnhutyOeJMy+sNsHz+/1wdtnI/AKIfa5PUF4fjQQ713Kxa+vE2jfEVAtxofXkggyq1AVuBYXW13xya0c/PRCNb59ugg/vFSG397rwl/fbcMvL1Xj8xsZeGPYC+/026PPZRYK1+hhz04dnHbWwzW1Dp4I5z0k6+KdXF18WEKYrZtMYNXFt60G+KGLINthgK9bDPFNoxG+rJ+Cj8un4YOSuXirdAkezVmN/sgdfE/slW9V3ksBWlFbEel+vreZoldaGkBAlPeO749iACnBNPgNibqKqAl1xAcogU1aJOCJSGUTRN9a3rHfjRFjRC1JBlP8HkVlgdtEH13eryK2G6JTLzrnrTxP3Oc1sAzicqru9xkHMd5UvI3w3FrRzyWcVoS6se1x4ndIuA0TeHVnvjLIluPd+Z6PA3hduMzcOKE8wEFJZWIwJTDM7aKfK/nLQLBUba+4jarWin6peCZQEWilTXFT1BFamMSlVi2Pq1ZZosRrO9JtVyPdbh1agu0xkqhSIHcs1QdH8rU4UajF8Xw1juf4YizeiQDpjgOZfjicH4QTpdE8JlzxxiAeCmqDJaKZI3oIygLMfYTtAQ4AJEKX+N4diPMhdHIfgX8w2pXPjBAbZINWwrHo0PZG8N1gGoxxRGeYFdpCLAih1mjjb1Ez6CA0D8a4oDfSZnx/0E40a7aiKWAnjzFHZ7jo/hJGw63QG2eHfkJwv8BurEReY94JzgR8G977LkWK2x3jhLYYgrh2B+GWsB5ogSZu72RZW8QjgxinEVhF5aBcY8O2Srw0OPBeOFggfFcFEso56Kjhs6vkcRMwO7FMLBPLP2v5c51ZQlWtSAgFQDXOSpKY7qVaF0XSKkAqEsQarsUoRIy6xNG/QKgAlRhriLRRrPRFJaGRnYZIdceBinAo4CVSzSg1jyGsCnzy2HpuryXYikqDuPppFyt9kcoSwOqjfoetUIFGwho7XSVgAbeJZLQ5ip0k4Vem21tF6skkOqzjUbK0Csw2RmuZjwRGYCIsK35ieR8yLS/T8aLL2yAwyPsQoBU3YALq9TECn6LCINIokdpyH+tI7keM28Z1if0UIBYYrGenLLqH7ez4FY8GogKgSD79UPY74Ev4UMUvLTtx8fM6PqUvIMq8CRUNrMc6HitQKvvKCKQFGgfkqh2UqFwKZHO7AIMiRWX9CoRW8JmI7rLUsQCFGMiUEghKNE48XraJRJp1xk5cOnrxAykGPDLdLHqTynMXmGXnn+PvgEQ3CwRbboLnluVwXHcH7FYtgD2Bdttd87DY1AQmOrrQF4BlEnj9IwnMjoPs72CrhLLVgf2KKbhcsAbv96/FR11L8G7LQrxdPwevlkzHsxnTcS18Gi6GmOJKyHSc0czAmMcUjKlMscd/Bvaoxa3VbFRbzUDiOlO432WMXbONsX2RAdTL9dDpaIhHowzwar4+XiP4vZQ+Ca/nTMIrqZPwRoYu3s3SxfsFhngsYBKejtHDU6nT8WjaYhzynIWqrQYo3WqE3ZF3Yn/icpwpWIfHOqzx4pgzXj3ggjdPqPDUoAue2a3CkyPeePFYMN44lYTn+yPwdH8wXjsQj1cPh+PDqxn46rFs/PBCFa4PhKDUZxWKPBfho5sZ+PapMnzH9O0zRfjl7Wb8+nYrfnmjlf8r8MGpeLx7QINT8WsQeYce6u83xBBh+5KPLp4I08Nrqfp4O1sfH5Xq4uMqpkodfFKhg88qJzNNwqdVeviq0YS/jfEOgf4tDgoeSbsLIxHrUeW/k++qkzKoKVKZjwMt34EqftPi5qmSg0yByVZRWSG0itqK/B73tUwY47si77P4cRa/zPLOCZzWx8iMCNcEsCa+Q808RiS3tcxfwiqLBLYi0Fl5byXgRw3zEb/M8h7W8fhqgmxFiBgQEVr5TotPZjEorYvmd8BUJX5Vub+e4NcURZAlzHYlqhXVAgl6ILDaLMZpMTJrJNfkNsJhBQdhSvRCpR2S91lmh2SA7Yh8lTWKlAhgoldLABdPLTxeAgvUiLeAAPEiwDKpbFGpsUWxz040EMqGktQYTfFDf5wHBhLcsT+TEJvrj+PZPjiVp8ZYCoE0xhx70rxwME+DsawAnuM7HtRAsfr3xFCyrxLFq0uMvaKcMRzrBYnWJXmOpXhiNNaJyQX7Et2wP9kVIzH2GI52wKF0TxzNEN1aHpfggt1xBOsYWwzHORNgXdFLyOyNcOY5KozGuWAw0h69hN0eplaCaAtTe6g1eqMI08yvO8oWAwTZbubREWZJ8DXHULxIch3RTRBW8mVZOnlcU8A2Qr4VqgPMCLAWaNZaoSPQFp2h9gRYW5RqrDgg2oYsty2s110K8NYQwotUZoqRnQwuxLPFBMxOLBPLxPLPWv4cZqWzYapi5ycgpBhjsfMSiZ/oU5ZqXJSOQqYo69gRNbODEoliVSBH5QJyBCiZOhy3bmaDLkZL7BibFFhkx8P82giWYkAlUmCBZzmvVaYoeQ3Jq1FAUqCacCtqDtLZyrSjTDc2Mb9mdmgiERKIaybMdsaEsDMVAyuRlEp5xvVGRV1AUVMgjEoULwHa5vhgNMVr2KGOG7e1EDRFpUK8HYihWnMYy8vjZZt4MRDXWyIhbhIVAubVSJhuYL7NhNgmAXWuxXBMPCnIFL9AsagMtPDeRV9V7klAXHy4in6woirA80QSJTqpApwyHStW23JPdaxXgVkZJIgLr1LpXAmdZRw4lAggiGU4O+1xHWTxICESKObFcwQUZC3qB6Im8MdvxT8u1+LiTOBX1EZEh7FJpFus10bmI4AjU8cyGCklXKT72CDUZit8tq2Gx6blcFp3F1zX3wWL5QuwZNoUmOrqwoCQKq63dCfpKFBrSGDV428B2f+c9CfrYuUsI3a+q/F83Xp83LUC7zQvwAet8/BOzSy8XjYPt9Nn48FIUzwQYIgjQVMw4meA3SojDDubYNB5Kvb7zlKkl9WWM1BuNRsJ989G4NoZUK+agtTNxuh0NsQhX108Gq+DVzMn4U0C7Utxk/CEhlAbM1mRcD4TMRlv5U/B83lzcC50Dlp2TEeb03xUWs5Ch89iDIcuxUjkMlyuMsfLYz54esAGLx3wwKO9rnikzwePDavx2ulYvEWYffNQMj66mIc3T6XjUqUDDmZa4bVjkfjxmXK8eykTo0k7kLDDFIfLLPHywXB8+Ug+fnquBD+/WIzf3qzCr++04K9vt+GrGwX49FIMXh/lt2A9B8l3GWBgqy4uE2Zvhejh2QQDvJykh/cL9fF+iR7eyJqE9/In4QOmT8on48tGQ3xabYSPio3wZuYUvJK7EOdilqFBu5nPV4IhqFBGaK3m+9PG91p0VBsFBgmizXwfOsVYMVa8HcgMBN/DqHGPGc18H+U7rv5j0MPvTt4nRb0l5vcUKYZBKsXAq52w28B3qZbH1yuSUdGR5/vK69TxexAfyuLreDySnQRDsUOJ1gElhJ6qcAItj2tkXuJ+TlQXRCVColE1RkgAB290S0he8cnK7W0EWQmi0Mz/zbGiKuSi5JUnwQ4IrzKbJAFXSgnt+f72KGJbJmBdSEgt4Vox5OS3KMAl/mgFvku5vUwjRlCuqA60Q6GPOb8JMYLifSrurRzZPjiijb87+bs33B6j8W6K9wEJvdsR6YIuAmVzpDMaAh1QH2CLhgAbtATZoZ0w3hROaFZvR712J1r5W3zPNgfboSfSlkBqha5QS3QFm/MbMSPI2uBoqhtOZnrheLo7jqa546DoyKbY40CSvQK1hxPdcSDekQBMmE104nYnHEzg71gH7I6ywkCEBboCd6ErzBwjiS4EWHuWxZxAbYfWUCt0ct2sMUdHkAWvSVDltuEkV3RFOfAerTEQbYfheCclIpsc16bZhUbVTnSG2ShGY9X+FqhS70CO+0aku25Esd8uDpzsUMBBUq7XLhSqLFERYDcBsxPLxDKx/NOWP4VZ8cMqgFnJjkCMnSTylaJbSTAqVDuiRO3MzoWQRJgSA7FemX4UEIwSa2OVAknN3N9GcGolIDXxuGZ2Go08v0UBKAIpO0vxSVnM/MqDxH+lmwKvAreialAtkscAdoKBIkUSaJWOjfmyQ1TcAvE60kGLxLY5MpjwGcT1OJTKVKcYSSmddrR6fMpUOmf+F2lTS4xsE4t+5sMyKzqA7Mwb4wVO2TGyDG2yXaZUFemqeCKQcJP+7Kg0aGde7YTWBjEg47ECAOJUXgBbPAUo98+OvzeNkC3GMSyLdJrV0QRrQoQSkCJMdHTdURkwrgIgU7Ry3rhhjZTVV3FrJHmK5EumXqvC3H4HX5leZT2J9ItAIMZ01bKN9yQBHGpZN5WK5JadNY9vjWOd8NrNvBeBc5GeCXAoAw2BbebVIBDBZyx1Usv/GV5WiHPaCfXOdfDdtgqqLcuh3r4Sftvuwa575mLhVBMYTpqkJGOmKUyzDPQxU1+fQCtqB7/rz/6eREIrkDtLXw9pdnfjqerNeL5gGZ7NmYsXi2fjrdr5eKtSpsZn49ncqXgiwxjPZE3B08VT8HjWNFyOmElInYFjgbNwOGguxtRzsUczB6fj7sax8CUos54Nrzv1sd50EpJWTcJx9SS8nDMJn1Xr4JNSHbxMoP2gXAdf95nii/5xfV0JjVtnY4KHqi2wJ/w+jMVuwMUKS+yJXIFW9V04kb8Dz/R54olua7y42x0vjvjhfJU9XjgYifcvZ+CDs5l492QSPr2ajr9cT8JTvd5494FY/PJiCX59OhuvHwvBgbSNaA9ejlK3JXi40w2f3czBL8+U4Jubsfj+qXT88loF/v5uO366XY2vH4rDV+eDcCNnFSLmTELfRmOc9zDAw0H6eCJaDy8QZt8uMsTbhXp4K3sS3s2dhM/r9fF1uwm+aDXmfx2CrD7eLZqNp7KW4FD0fSj22KIMDuWdKdba8Tl7K8+8hevWaE9CmkpxoyXeMaoJmBJYQ/SkRd1g/D0RIzF+N3wnxFVWd1oI2gV8lXdH3HBplHUH82nhOdImiN5rPd/NFsKoYhjGd00GaeKmTlEnkraF+8sDHRX1gMogwmSQqEHwW+A7Lu+6TE8LJDcQACWYQEsM26EYAXFXJVpVezS3RRJyw5xQF+ygALsEDRCjriJfK4hlfZGfDfJU1oRbW2R7WyDXx5K/rVBMmC1SW6MsUIyaOGhnOSoIrhKgoIQgm+66Bbnu25HmtBFpLpsJZeaEXHsU8twqnlNHmC0nrJUTdOslGpfWBm0sU2sk75tlEA8AteFOhGAnlPjxeioLlLFcVcyjUr2L521Fqfd2tm/2rCcnDjisUe9LuCVQtgXaoNZ7Cyo8l6Ej2Az9hMbuQEv0EHC7Q3ehN2grhqN28F3lNu0mvrdmOJJggz0xFhgK3cJBmDn2xtpiJMwSozz+YJQ1hgSOA80wGsdrBRI+/XagNsAcddpdaAowQ3ugNZpV29DstwW1qu2sXzvUsSw1BNXhOFecylJhf5In4diR1yVIJ9hhMJr5E5j38JmcyvLG6dwAlPubI9N9C9soQjoHI9UyoPCzRrbr/f/SMDt9RDuRJtL/r1P+9WG8//77/5+l/6fLn8KsqAjIlLMiRWUH1SxGS6JvqQCYJxt0dwVMBdLaCIYifVSmqQlgIu2QaT3F0p7Q1kzgq9Oyg5IwrYEuhFsCYqRIUGWq3ksBOvE1KR2nALRICQUcx91diYSVa+Yr8CbTm+JhQSS/4g6oUTo7OTZKw05O1AvE4IkpTsCawMwOXKC6hSDXwsa1JY5AmiASJG9Cowrd7IQlProYhnTyvM54X3bs4kvRh8cQ/gh4Mr0qIT07mLrieZwcTyAVH5xtTO3x46kjwZ9rf3Syc2+L9kZfsh9Gsgm47IwlHzlWYFKS1JdYZ3cwKRLRcA/lum0sRxvvr5VQKRbfLTEi3fZmxz1utS3QIBbcLcxPUgfvoyOeZU2UmO0sh0ipeJxM4Qq8yLSsGMU0/+6sXu5D6kIkcRIyc/weBXhlCleO5+CE2ypDXJHmYY4wq/sRbHEfIqzWK746tVvvgXbbUlgsnYsZOrqYbqiP2Ub6uGuaAZZMMcBiEyPCqj6mcJ9IbMf1aP+jdFYHhty3bek07Iu5By/VrcJzpXfhdu4sPJE+DY8mTiOEzcRjqVNxM9EIt+IN8WjSVDyZMR1PpM3CAwFTMegyBdUWxuhyMcHxoNm4ED8fj+YsIvAuwrWoeTismY1zEdPxTL4xPm42wFe1OngnfRKei5qET+pM8fXgXLxQNgc3Chbhetl9eLB6Gy6V78SeuPswQKAdiV3PDno9ekJWYn/CepzJ24wbTTvxeKclHm6wxK1mJ3xwOoogm0CIzcS3j+Th9X1q/OXBaLx6QI3vbxfir6/W4qdnCvHlzTxcbHTlu7wFgSumozpwJW6OBuLNs1H45olsfHEzA189VYhvbpfj1zfq8evtPHxPoP3iiCt67aaheq0B9tnp40GNPh4N08HTsZPxWrYh3szWw5vpOkrQhE8qDfBxpRE+rTLG2zn6eCPXFB/WL8XjxfejM3QbQcoM9eKQn89V9E3r+fxlwCXqNI1878R4SgZwIqkXtSEZ9Mg7LwCszKQQTuU97YzXKN9QA39LsAQx6qlnkm+hL1GDLsKsfE9/eB+QgAtNYa4ETXGR5abArnyfkl+V+IWVfWEyw+PAeiHIEmjrQhz5XroroNoZ64HBJBWGxa9rorsy7T2a4IzReBeMJblhf7oPdqd4Ktb6fbGOGIx3Rk+0I7qjndER4YQOkaIy32YxFhMre6+dKFftQpXaHA1BNmgKskZTiB3qCZI1fhao0zAJVPKcKg0BmDCb774NRV4WKPaxRrnWGdnuBFMtwZfALTrGFVoeG0gY5zZxJSbqCZUEOJHwiu9maUdFT72c/wt9CNA+Nijy2M4yWPN+x9UaqtW2LKcNGvzN0BJgyUGUJVp8zdDgtR2NLG+L/Pfndg2T1gxtflvRE7gNvdptaPXcxLQZPRoz9PjvQrfvNrQTStuUtAn9gdsxGrwToyGW6AuyQneAFaoJ0WkOa5DvuhGF7hsIr9t4rc1o1+7kdbag3HuT4pWhTk0A5/UluENvrAvr2Bl9MQ4soxn2ZLjyGNZf0C7sSffAhXItDmd4It9tE6ItmbevOYr9zFDstQsFrttQyvqdgNmJNJH+ddP/sjBbJVPSIiVlxyNwWstOTiL8NEaKxFBLkJWpdoKWwKpMrYsEh8dJ8IB6gVF2WmI93x7NFOFHgGUnyEa9OsiNa4KdeBRg3i2ENulU5RrK1KXAbDDhix2s+LAcl+DKlCehi52sALYyLRrGsoS6ssMUqS3z47EdYtTCzrqdHW47O+42/pdoN23h7Eh5nBKXnWkwietYN0VPbSTRD0ME3IE4L8WwYzjRm4nrJF/u90YvQbGHANiT4MPOWlzxEFKZf7ckwqPAoABuD4/r5X8JASox1rt5/FCGGkOZvuhhZ9stMePjCI/i2ogw0MvOv5sQ0CXAKgDOJOUWV0QiuRbYFZ+bXYpLIpYpNRDD6cEYTAnASFoQdqdqMZamwfH8IJytCMfpsggczOP2NH8MJTP/BF6X9zVEoB5S4tKPuxAaTPZBH8sm0XqGkgjbyapxZ/C8h37ecw/Pk/j01cFOyPGxQIzNeqQ5b0Ka4wbEWaxCutN6xFiugPmdM3CXCeHV2BD3TDXAfXOMcbepIeYbGmCGrq4StlbUDf7d1yzBdrIkwqzeZF3MMNRDvNVsPF+zDm93rcWr1YsIq1PxcMxUXAozxc2E6XgkaQaez56NR+JncdtM3Eiej2sJC3AqbDbaXQl6Nibo9ZyGE5EzcDlhBp7JnYvXixbhavQc7HUxwjmNIZ5PM8Ezsbp4PW0y3i4m+HXMIUAvxJHQmXi4dAOebiGcNtjgdMEODESsRmfgagxFb8RY3BaMEmh3x6zGgfgVOJ61DI+2mePJTls81eWEd476483DWnx+LRGfXYnBh6eD8MPtdHzzaAZ+fqkG/+29Dq4r8Ntr9fjwWjautnDQ5nYvgjbO5QBlAx4bcMPH4p/2sWx8fisLXz6Sg59fKcUPz2Tjl6cz8OP1cLwxYIZWKxM0bdTDCVc9XNdOwmPhhPIEXbycqIu3MgzxXp4R3kzTxRvJk/FBniHezjXBW0Wz8V7jGtwqs0B3lBjh2HOQ6MKBnMwI/A6zHPDITIXozpZp7BXDKPEYIAZZMgsgXg46f3/PZSpf9GHFtZZISusIoQ38rgQ8xY1TG8Gzg99FK89v48CoRxkgcrDEb1ic6DcHO6NGQ2DjOfLdynfZyN8ydV8ZYIOq3wFSrPybQu2U6e1h8aXK7+ZIujfOFfgxeeNMtjPOMp3PccXVEl9cLlJxuxceKPDE6VxXnMpxwZlcd5zMdsfRjPEp+UPJbjhG6N1LAB6MsEZ/uBWGY2w5cLHHWLwdDvGYw2me2CeQHGM3rosa54h+8RYQbsO2wRn9sRyMsl5qg1yVmSTR8a3kvcpMiAz6RBWrmkBbFyA+Wj0It64o1YhE1gnlGglc4IUSf3vkupvz+9mBTKdtyPe04L07oYL1UuFnrUzV1xIe6xRotUGX1gYdBOp2Desj0A69oQ4suwN6gi0xFG6BPkJqf+AOAu1OJQ2H2WAgkPcXaI4u/51ocNuAXvVW7AnfhSEe26veiW6tBUF4J5p8t6NZbaZ4X2gPtkAngbTRcwM6tbt4LXPU89jOcHHb5YBM1y1Icd5IGN2Fcl8ex+ObQgnXkTaoDtjJ52rGdsMND9YGYE+SCyIJsm7rlyqR1GLt16PI20wJ4FAb9K+tZvA/6twn0kT6/1P6XxZmFQMN0cFk41wZ4IJycZ4fwE4sirATqyFQ+kJ8pyq+TcN9UMsGvC7IBeILVdQPBNBEX1RxmfO7BFXgVXRB/5CWijRSOkhxxyPnKWoK7Oya2EGI+5xWniPSx1Z2pLKWzrVN1gTWjgh2iuwoOyPdCKZev7vT8UIPoa2fYCmGF8P8v5vgtjtB1h44nKHCsWyVYnl8ItsXx7P9uVbjSBq3Z/nhWKY/Ozc/HM3U4kROIA6k+OBAuh8OpmuxXyL7pKiwL8VX+b0/3R/70n0xmuyJPakEYYlnzv0j3D/GvMaY/9HSQBwrD8ShIjX3eyrgOJqmxVBKIAYIvr2EzU7R/RNpa0owmriuFOkOBwTdBNaBjCDFEnqIcDyWFYHRrEgMZ0hM+wgcyArCsbxgXKqOxhNd6bjVnoozRWG8JzXvMYDwFYxDmQE4mhOAI1lq7E9VYS879UMs29HcQJwsDMeJghAcy9HgIOtlL+tgNNkLBzM1GCXUS122hIvUyFpxPVTmtRUlXpv5m52x/Uq43jsT9880xH3TDLFjvgnWzzLAAiNdzNHTwVx9wqrA7O8gqxiE6RBsdXShI4BLmNXjeslMIxxJXIkPx6zxfs8GvF56B14vW4TH0+cyzcatpNm4nbMYj6fdgTNBc3HAfy72+c/B8YhFOBt/Jw4EL8CIeh463UzQ526MM1EzcSVhFi4QhvfYT8Yj0YZ4OcMEz2VNVfRx32+Zi0cK5uJQ9ALsD7+LMLQJN6rNcLlsF3ZHr8T+5K3YnbgVB1ItsTdhO4Yi12Ff4v04wDIeTL4Lj3ZY4NlRVzw14IC3jnrgtcM+ePt0CN47HYrPr8bgp+ez8NubZfj1jWr8/Z1q/PpqMf76egV+eiofz/e642DKFiRsX4AW7VpcqrLBc8NqfHo1BV89moMvb2Xi85uJ+Ph6HL6/nYufH03Dt5dUeLxkFTp26mKvjR6u+RNmQyfjdpQObkdOxosJengtUR+vJEwm2Orik4qpeDPbCK8VzMTzRffgGO+lTmOJYpla9zRHMaFVPATINL7iei1MhTK1EweSrvy+HfmfIBYsklJnBX47OXjr5CBQ9FHrRHIf6qyEPm0OJlRxANRHyO1mfp1MdTyvXsA1wo2DVw4gQ5zQEuiAZoKMrJsIvq3h3B/mrHzbLRLJKtIZbRGO6IlyRU+ki5I6Q20JkvbYm+iCAwTNE1keOJ/nhot5LrhU4IzLuS54qJgQm+OBU+lOOJ5mjxMZTGlWOJlmw+3OSjqT6YBzmU64kOvG83y4zRMnM1yxP84Oe6IscTiJ56Ta4xzzu1zohYv5nsrvBzJscS6f0FzginN5zrjE7RK8oDtKXGyxjkR1IILtIGG/md+rzGhI21Uj90+oFR+7ZVonFPnaKLqihfxuyjQOBD9HVLOO8z0skMuU42lJ2LUj7NoR9FgnHDw2BtsTmse9Egi8SgjcPRx4jLJ+ZCp/VOqFIL47ygzDoTu5NseeWAu+n9ZMthiNtCbommEg2BxtPtsxSPDcG22J4eCd6NPs5D5CssBuiAW6gq3QFWTDPB3Ry+OLPBajRbMLPSHW6CYYt4bYKHq+ue6bkeG6CQVeIqXejHK/HRx8EFBDbJHvto2Aa8VBux/bPndU+Zsj0GwNHFbfDc/tK6DZtRIlAZZss53QFGw7AbMTaSL9C6f/hSWzhFmCo3Rw1SJ5+F2HVgBXdFGV6XH+F3UAmZoWVz8SrrKOScJPNrGDa4sWXVaZqhTpqZsimWkjqLXz+I4oT3ZuTITadvnNjrCL0NrBbR08vzXYWbHy7SHQdrPD6CG07k4mPCb4Ym8SwTKR0ChTkDGuGI11w0HC2GCknWLJe5TAdiJXi1OZalwpCcW1shB2UBpcKdXgAju2a5UBuF4diGtMD9WE4nxJAC4ync5V4zCB71R+EM6VhuFUHvMoUONknganmc6XhOBCaQQuloXjQnkYHihW42ypGufKA3C+KgyXqyOV9SXmeaUxEldbwnGlJRSnK7SERBWOEjQPZWmxNycUHYQBcaQ+SGDuy9CgI1WDAnb6QdZrkey2FZ2E3l6BWfF7meiP3YRYcSzfEeeLrkQBYQF3Z+xlvqfKw3G4IAhjqb44nEmIJrweSvMnwBLEMwi3BNY9ie4YTnTFWJonDudqcCI/FAd53GiqSH0J2tw+mOyOvhiRRDlhOIEdaJo39mUEozHIGpW+W9lxsVNzW4tE87ugWj0DjsumwpnJ7u6pWDlFF/P0J2GJqR7uNtHHHAKtyR8gO2kS4XXcXZfozf7h6cBARx8b5hvgdOYmvNFlhlcrV+KVorsIsIvwUOxMnIsgvAbMQ77FVMRvm4Lw9VMRtnE6tOtNkGE+HfUOM1BnNQ0dLlNxNGwmDgfNQI+NAQ666+DFnKl4v24mPmiciS/HluLT3jtwI3UOer1n4nT2ZsLOBuyLWUrAWUMgug+HktdjJPY+DCVswP7MXRiKXc9OfyXX3Jexge/FSjxUb4aX9mnw1JALnh22xksHCbaD7njrZCQ+uhSFX17Jx9/eL8UPr+Xhp5ez8N2Tsfj20QR8fzMFb4z442yOJdpVK3Gh2A6P1TvhtVF/vDKiwmfXUvDzC0X49pFEfHotBp/fSsHfXyzHV+f98NlRF1xPvhM923Rw2t0IF9wn4WH/ybiumoyHVZNwm3D7ZoaoGJjii/rZeK98Ot4omY9bmasIOxb8RsUHrDNS7dch03MHWvi9SgQt8ZYhng0ynHeiMdoDrbGiZkAo09rxeDsORAml8d4o9DZHsut2pDpvIqxZKe/F/nRvHEhyVSJWHUjx4kBIXOgRTjnIFFjtCnfEWKIn9id6Y4zfZncoISrUDv3RrhiM9WAdE34SvdDL97c/1pHfM98/HreX5+xJ9FDUCIZj7TEUZ4v9KXY4kmyFYylW/J7tcJoAezLZFUcJT/vi7LE7xhr7E2xxNNkax5JscCjBEofixWjKHodT+F8CCzDt4TF7UxwJ3+aEtM3Yl2BDUHbks7fDqQyCb44LwdeJ0GyL84WOeCDXDldybXA+y573YIX2UEv0xruy3WO7xm+vge1bI9ss0dFtIHSK/nCb+IwOFld3Lhw42KDEdwcHC+aK7m9FiAcqA10IuBaoEDdWAbasaweUSWhZ1nlzOOubbVx/kqgxufA7dOf9sz44qDzMAfK+JA+Ww5F14cR7cma7Z419ac44nufJ5MX9jhiJscFuwvpojD1GmYcA8NEkFwKwHYHWmhDvyHfCHiORthgisA4Gi56tHSHXCp2BYvzF7z7aE3vjxDsCgZYg2hBgzWfqwPLwOUbyXrVWqPEzQ08i23UxhCPcd7Fe2jkQKfE0Q4Qikd2EIrZl2QTgCvFRy7wbteb/0jA7sUwsE8t/7eXPYZaNr+inigcBcYSuuKAKFUmqTBGy84v0JpzK2mfcv2S0jyJhlWlI0ZNri3Qfn1bn9t54X2Vquz+WKcYHg3EEz3gfDPD3aII/9iT5YoQN9xgB9QBB9WhGIA5naHEo3Z8NuRp72akeSPbC0XQvnMolFBQG4mplJB6ujcW5wgCcyvbFmTxCZ4YXoVSLByuDcbWCsFpOkCV0Xi8PwY2aCFyvJWRWBuFBri9VBOBssS8BVUNwDSLAEv7YOfeFWuNgui9hOBD707ywP5uddbo7wZmdSAbLl6Lhfn+CoA8O5nA/0748PxzIU+FQLvfnSFJxO0Ewl505jxtNEQfsKuyWzj3ND7szNehJ9iSUSvhPV3QnyKDADdke5tBuW4Noh81oTFChPzMIIxkB6CPEd7O+xPJcpncbRP+VHY9MTTYTMHpiCQUJHoR/iUxEQI53V9z+9BP0+2NdMZLgxn32aAq2QHsIO2VCf0+EEzolRUnoThclKlELgaPEcztqFEMUSwwnSwfrhAKX9UjcuQRJu5YgassCBK6djfhdixG5YyHc7p2OrfONsHKqHtbOMMDamQZYbKiHmbqTMUNHRzEOMxCYFYhV1AxkrUOgFW8HOorfWfWWOXi8ciM+G9mCd5qX4S/ta/A6wfZhAtmI3xLk75yLuI1zYH/PdKyfbwzbe6bAZ7khsraY4EjofDxRfAdOR8zCqOcUHPA0xM1YQ3w7cie+7F+Ir/fcgV/PbsSDqQtRsc0U3d5349kOF5zN3sCO/h4cT12D0fB7cDJnK/YnbSBUrcGpQguMJW/iAGoNesJXsmNfwfdkB67X2+BWhydeOxJDoHXGMyMEzSZrPL8/AB9cjMGvr+bj7+8W4dc3c/Hzy2n47YUE/PIk0yOp+PpaGi5WOKPTbw2e6ffFa4Tbj8+E44UhL9zu8yTIZuO3F8vw1WNp+MvlGHz3aDq+uhSEr0554vMxK1yMmIODzno47TwZN/x1cdV1Mh7R6OCVDEN8WDYVnxHcP2uYh0+a78SzBUtxKGotBmJt+f3xufLdKvSxUCz0JeSseAEoUtmgwMca6W67UEv47OH7Ocj3WqRobRIJiu9UZ5Qr6tXWyHRYhyzbtegOM8fxLBccz3DHqXSRfrrjRJo7v00PtBNiS7138Z3chd4oBxzL8CAY+uCBLA8CmKMCnocIoBKadUSm7nlMa7A530cL7Ev2Yd27YV+8G9deHJwSyKKs+NsGJ7PsCKm7CKjbcTrDGg9kO+FYqjMhzBFdATvRG2ymGDwdTrTEwXhzDIdvx1iMJb9TRw5wRbeW3wAhrzfCnN+BPdcW6A4xY1vjiAOpdgRya4xGrsbBhF0KDB/jNQ6l2WBf7FYcjt2Og4nW6IsikIo+Kb8X8aQg8FqmFomjK+uX987BQUechKUWqOeAn9uqWB8NYpjGdSVBNTfAEQVqe1SIH1zWaaXMdvhZIM11FSq0NqgmFIuxmEQ2U1R+Erz5XbqhST0OmQP83R/rghEZlCZw0MlveoiDzT1Z3hhN98AA6284yZ2DBLZVbFv2paiUAf5JtkNHMr0wliKSbrZl/M73s304mMC2i23GwRTWO+tIztvDtncowZfPj+1CuD1aQ2z5HhCu2a70RDiiLdgKtWozVHjvRFson0FWsKK61Rxmjza+Q7V+21Gl2YJyjRn7BC+CvS2KPDZxMGzJ8k9EAJtYJpaJ5Z+3/E8MwMR/rJsiaZWY7PVinRzsilY21u0RHooOWVOwC7oIq52EUpGudnPdL6Aa54WhWA8ME1BHCWH7UtU4KHCaGcgGVoO9iSrsk8RO7HiWFsezNTiU6svkh8MyzZ+hxtE0f5zI5D6uD7Gj3Z/oRrB1w0mC6wOFQThfFIRLXJ/N0+IcQfZiUSBOpHrhWlUErlSF43xpIC6VBOOBXC07QU/u5znFPJ7rkwUBOEbo3Mf8RhPZuGf6YoznDhAsxaq3O9wZI/Eq9Ea7oJfbBtlZD8S7oDuCHXygG2HQg4Dqg5FUTzb2bPjZybSF20HCQ8rvbh7bHmbLbTaK4/EeAsVAzHgc9wMs/x6mrgRntMW5oCHUlnXpgGZ2kFUhjqhk51cl07BioEag7eUgoDNOAMSRz4B5ElAl5GZ3vBd6Y9xZ1+NpVEA5xZdrqX9PDCeKDrAXBtlpdYWzE+a9SHjN7mgH7nfB7iRPnu/K+yNQE3z7CBL97OTqtZZoFb1F3ovUR6243LFdgTy7FSjkOur+6UjZMR9pO+cheO0MOC2bis0EzJWE2BXT9LDURB93GutjgbEepusSVgmwxgRYUTkY90U7rkc7DrMirZ2ExVONEGO5AOez7sXLLWvxkuh7Zt+Lg+FLUee2AAlb5sJ22Szcv2gGzJfNhfr+hQhYMw25u0xwPnkunihcgAN+Jjjqb4TnCubgG4Lsz0eX4bvdd+K7Q8vwSvPdGNPOw9H4VTibcT9uNzvwnViLU5n3YST8bhxL28D3ajMOJt9PkNmE0wWEoriNaFCvQJNmOdoCV+BoNsEmdQPf0Q240WKHx7uYeu0UqH3psBrvX4jA314rxr+9XY5fXkjFjy8k4W+vpOKnx+Px7UPx+OV2AV4+Hov+iC14sssfn5yKwV/OReKTS1F4pscVL4x64fvHs/DLyyX48kYS/nIxGF9cDsKHY7b45oQrPhywxGNJ83GaEHtDq48ngvXweo4x3iszwYdV0/Bl60J8P7QCH7bci4cy7uP3ZYZ9md58rnzuBNOmCL5jhNMWgklnnLcSmamO8FTLd6+bcDSc6oPdaQQZvgfiWL8vRuL8O2CUEDIcbY3+MCvsjbPDqSxXHElzxqFEOxxNccXhZHfsjnNEB9//St9dhBw7HMnyx5kcT9a1E86kOeAEgfEsIfhyoQqXClQ4kuJEUOV7GM2BWIQlv3MVjiU7YSR4FwcWtoQte5zKcMbJdHseL2oCbgRNC8KzDc7nOeNAvA36OSjrCrDA7lgHHM905fPkdZOsuH0zYdgCBzLcCGfMkwM1MVKq9OXz1O4giG1EufcGfp+WHKxYcr85hkK3Yw8hd3ekBUYIvbt5v3sVqS/rJtIaparNyHTZyLpyYh3KrJM7wdORg3sx4BJvBK4caIp7QRXK/Z0UNY7SAHvFQ4PMSJUGOcJfjCjtNqEmXPSNnZXoYbXisivUid81/4v0Vu0AcT8mRp3dTKKj38w8mgnArWwbxINDR7ToHItBJ++LSbw7tEQTnNlmNYY5oIWDEYlq1hU7/n0P8/kMcZDew/ZzIMmb7YHn+IBXGfQS9CV0LtvAUQ7gBwjAfWxX5Bm2Ma+2SGfFVqA7lttY3gYCeINEBdNaK+3GWA4H5Xxfmgi+os7SGWGF9nALdMQ4s30Sw18bVPlLwAUJ7jDhmmtimVgmln/e8qcwKyEmRRWgJ85HmeYWPdXOcDd2cO7oEz3VcBf0s1EdIazuTfXHAQLr4TQ1TmRpCKC+OEbYO5amwtF0dl78fyhVXLsQYBO8sU90Wdkoj7FhFXgdSyZ0xbgRgNkxcv9eMcKSvKM9lONGY9jwhrFjIpAdTue1eM4RXnMvy3Iw2ZfX9iZo+LBj9cGZvBAcyRTpqUqRsO5LYifNBn8fAXBMDLsI2oNsnIfYmPdzuxg/iQSkm79FSinTak3BBFN2SF1iOMbUyzL1JYrKA48L9mAdeGAv73U42ZudAf/HubGxdlCm/YeSVRjL9ENvFDsEdriDhIm9qe4EdwJwLAGRnW9LOBv+GFtl2rJbOgze60CSeDcgmEqZs7UY5j32sx56mH8vO6Fu8fvIjmeU97kvQ4M9cv8E/cPZhH1JBIjDrPt9HBCIPu9YBqGZ9T6WLjqwfjxehWF2akNJBPhUD4I4AT2R12PePdL5RTgS3tkRis4c76OPINsYZIF6zTbU+29Gvd8mZFrMR8auOah0ugsF/B28ehrMFphg9QwD3DNVH0tN9bDEVB+LmeYa6GLqZB2YMk0l0Mp6CpORji4MCLGidjDu3WASjPh7rokBArfO5GDjfjzTuBUP5qxDp/edcLxTD+tm6eOOKUa4b/407FoyG46r5sNzxXRUOE7H4bhFaLU3xkFvQzyVMQ2f9d+Fv128D3+9dB9+PLYKb3YuQ4f7NIwFL8Fj1btwKX8LruRtwfnc9dgfuwx7IpdgNGIpgWsN923H1RKCUNJmtGlXodxtqeIeqSd8A+t1B8bi78dQ2Eo8WG2JyzU7ca5qG54cccbLR3wV+Pzr8/n460vF+OmpZPzt7Tz82xuZ+NuLqfj1dhp+up2ND6+l4ky5LZ7pU+OjY9H4y+kofHMzSTEge/WQGh+fj8R3T+Tgq5spePeoL14cdsTr/fb4YMwLn/Ia3x93xmMpc3HFVw9PReoTYqfik6YZ+KxlLr7uvBtf967FixX3817M+I7bKYOZPj7jdg642vhs25k6+T4NcuAoktgBvkO9fF/3c8A3zO9V3uHuWA7eEtz4bvO9i3bkYNSBwGhL6HMitLryeyIcSbSoWGvsT/ZX9McHCX3ia7WXICVGlA8UhuNivgqXc9xxrdALD2Q4KkZbD5X64cF8b/53xRmC7gPZbngg3wtXi3wU8D0QbaFY3fcEbsHRVCe2H844xTzO5HsSeB1xOpv/mZfA7EiENcbiHDjAdcVxguuRRGscirfEaDRhNM6GbYsDBghXvaHWaA40Q6VqCxrVu1DhvglVqq0cmNpjgPUxxvvbx/s7ncXvSqboo6zZXtjzPl3YHnFg6W+G8G33InDzciTYb0SepxmBkwN5RZVKjGIJs2wLa4JcUamVABTi4YCJMFse7Ky43spw2QHntXdBvWMlGtiWtLH9qQm04mDCTgFSAdoW5tcZ5UN4FONRPw44VIoBZ2f0uAqWQGx7rAe3S3vjiS6xGxAjO7bRMhBuihQjNFvUhNqjkW2aSHibg+3RIKFzCbXN/MabeWxXjBjGuhF8HQnVtmiNcWR5ZAA+riMvKgWtoeJflgOfcA+WzUWJlCYRytqlLEx1Gke08967+D60iASX1+9mGiDgDiT4Kv1GC8vcoLXj/Us4XHuurSZgdmKZWCaWf9rypzC7mx2h6FwezRYDIo0y5X+MkHiKoHVc9DAJXac5Mj+V6Y/zBYE4n6/FldJx3dSTaR44yU7vRAaBlscdJ9wdlKmvBC8cSCRYxXuyk3HCIGG0n435ADtBmRYfivXEcIzoiXlzHwEr1FlJfWw4B6UhZsO6O8EfI2wwd4veHUf/orrQLseK4Rcb7IEYNqhs9HvYmMu0ezeTQKl4IGgL8yCoikU114GOijNzMSgT6UlDsDTgbLAFYCPYGIe48nieG0X4TQ5CGxvrjhAndIcQ5pn3fjHkImzuz9JiH8F5iA37SIIrDrA+RC+1P8qGnbwNDqS742SeCmdzvHEqTab02IlGmmM0zorQJNN9njjAetlLIB9Nd8XebA/s4/mj7LB2i/RXVBTSfQgeHgQON0Un9kQ2BwzZgThdFIIzxQE4lueH47l8Hnn+OJXHZ8J0JEMM2rR8dnxeOYE4Rtg9kslrpbEO4x2xJ8mZyYWJUB/FtUjn2IkPRdphjNv2JLtzGwE6xAo9AgR+25BvswTVTktR57oUhZZ3wuWOKVg/wwirpuri/lmGuHeaARYb6WCekR5m6+lgFiF1gYEe5urpYY6+HhZNMcZMAwPCq+64Li33KyoHXIsLr9lGk7FzyVQczLwfL/ZY48mqHdgbvgYBhOY1M42wiIC8QEcfd+npI3T9LFTbzUXKKl2U3D8Zz5TMxRfDd+DbQ0vwj2vr8W83d+HnM+a4kHwHmp3m4EjMajxWZ4arBRtxvWgLrhZuwrmiDTiSsgIH4+/GidR7sT9uNYajV6Pel/fnfCdy7e5C/M7ZqFffhyq/e1DjczfqVXdxELEWD7VY4kDGSlxu2IlnRt3w6cUgfH4pCN/djMIvt5Pwj3eKCbep+O35FPzb6zn47uFovH0kCKfLrHF7QIsPzsTg3SP+hNkYwm8GfngqH1/fysR7Z2PxwQNRzCsajzRZ4LluF7y9OwBvj6jx8414fH9RhZsRU3AjWAfvV03BF+2z8cPupfiiaxneqGR5ktYqfkC7+EybQuxRE2CDxnC+2xwI1oeIBbo5gYjfAwdiAyl+2J0VjIM54ehN9EUTvzWBmp4ED7Tw/EYOcMRIq5vve4fo2oYSqESySBCr1W5X1Ie6kyXAggO/P0/FqHEoRYP9fD9PZHoQEAmiWW5sJ1zZDjixrXDHaW4/nOLMwacjTuR74GimG05muOAk4XU/B3ijkSy71hpDhKwRDgSHCKxjyRzE8Xs6wLUCnJGWGAg1I3Ta4nCqK05me+M4v53TWRwcp/MbSXPHMX5PR9jmSLszxu9rkG3DPg6ah1kPwwT2PWzf9hHkDyR54hCPOcHv45AYMokvVQL5IKG/NdgGVWorZBJGkxy2Id5hK1KctyBfZaZ4+2jhILGO7UItYbaFbVYN18X+Dijzt0GlxkHxmasEq4j0QJGfE3J9bBUDPDEaqwwg6GkIwhHOBGEHtkkEQoJmtwSpiPBAlVbAku2QzIaxHRIvLY1sB+tCHBQvA61iICuwyfaogSAtnl1EN1rsFSTMr7j2awr1QHmAG8o0TuMGfBHcFi6uAL1QGShRHW24zUWRCosf8IagcWO2RrF/YBsortqUyHBsCxt4TAPbRvFL3SNR4kRdhW2uqK008NoNweOeLRQbiTA/xQVjXbD4CHdHVQChn23tBMxOLBPLxPLPWv4UZs8WsEPKUhOYgnG+NAgXSwJxNtcfF/O0uEh4PUd4fbgyQvl/ltB6Md8fV0u0OJ+rwtEEB5xO8cC5bDXO5BCC070wGi3SHXYoKf4YiidwiiSWHWd3mD0hypmAJbpgngRCFTsUmS73VaS1wwne2C3+WgnBuwnXYmzSG00wZUPbnxSI/pQAdCVqFB+rbZESV90B7WzExe2VuABqZuOu+GhlJyHRxdrZGLdz3SoeE9jhSD7iUqiVDXVPrD/6CMjt7PgkjRs3eKCP5ZEps+YAK3Sx0+mP8cIQO8iBWBfCokpxHzTMzlcckh/J9MGhHKYMgiNBdg877v1prjiY5Mj6cMOlQh9cKlPjVK4XThFwH8j2ZSfvjWM5XjiW745ThZ44prgV8lFCZZ4uUONsuQZnKgmtBX4EY39FP1j0hh8oCsB5wuwpbjvC651mWU5l8zzmJ+cfZocu3hrO5AfytxfBwR1HCNRH+DwOp8pvdw5MuJ37jhGgj6d74BAh9wif3Qn+P5rsin3xhHRCTZ3XFpTZ34MW77WodL0HURvnKWFkV5kaYtNMJsLssin6WKBHgDXUxSLC7DJjPaw01cedRrq409RICX07VU8X+gKxhNdJTJMJs2IUJsZhxroEWoLvXTzHd/1U1PouI7SsQYfqHmzhte4xMcKdhOIthOdyixnIut8I5dt1cS11Nr47vBy/nFqKn8+vxF8fXI+/PmyOx8uWY8h3PmFlFU4lr8a5nPtwKX89HiolzJZsx9nizTiUtgJnctfgUPw9aA+8B6mWcxC62RRxZnOhWWMC7+X6SLNfgAybuci1n4ES1xkc1CzmgGMVn8c6XKzehlf2+eC9MwH4ywXC7CMx+O3FNPz9tXz89kIm13n4tzcL8c2NGDw35M73Yguu1Dngswfj8fMTCfj2VhRBNg2/vFSOv75Wj+8fL8Pbx6Pw2cVEvH0sEI/U2eDlAR+81ueFjx+IwD/eysaXB3bh8QgDvFU4Bd+IXvDwErzfugQ3s5bhcNRGDj4sCUF2qFNbo0JlpUSY6ohzV1JThBNhxhntHDiKGstAsj+6uG6J4jfA97qb310Xv9G2JPElKwadEsmKgBKhJkj5EtKcUOprgxJ/K0X6KKoxEj1L/NWKe7nGaB9CjTMHg/aEYJnd4CCQQNdLKJbB5gi/G/l2ZJA2JNJfUX0JtsUwB7MyoBpL8ubATk2g5KCV3/BwrOhyuitw289vcDdhdDRGBrWu2J/ixfdepXglOZjmzYGeSvHWcYBQejwnhO+7Pw5nsC3hoHCYwCr+aPem+TJ/ldLW7EnmoJgD0t0inc4MxEAi64OA2hevQl/c+JR7K2Fv3E/0uCcWRQJLEKxmaor2U1QK6tnOtEj7kxaAWg6aawmVTQTKJrY7tQS8Rg62O5m3+KJuZB3XsU7EYLadgwFxeyaBFmTw3EJA7Y70RiPBUYBY9Gur2EY1hPAahFYJkCIqSFUaR1T62fNZ2PM52KFQZa3o4Vax7RP3ahLOt17KK2BLeG4RF4AJQWiNDSJgS1AUifImUQCZL/c3iHSXz1jClRdqCb9hPijhdcqCJIS5E9eOqOWAppLbxHNNR5QaNRo7lGvtCO82KFbbokSSvy2K+F/0sUvVTij0c0SeiseoJerchM7sxDKxTCz/vOVPYXYcptTsDPxxqkCLc0VhOM3O4lSKJy4QYC8QkK6Vh+NKUSDOZHjjYo4vrhZqcCnXF1cIVw8Stq6XhOFKcTCBSYw+7AioXoQ7P0WPU/S5hsRoKcKe0OqEQcW4wQvD7EzFx+tgvKdi6HBA1ArStRhLVmN/egDPV2NAOuEUDYbTQzGUFoIewmxnoppriYPujv44rSJN7YpnRxHjib5kLbrjNYrTdsWxO1NPNDtuHtsb56P4ZZVObIDQPMjfnQKzonsWZot+lmE3O8yBWNF7dVU62T2iSpA4rit4mOB3Ol2NI0meOJnuQ3j3xUGCpUg+e6MJwEG70Bdjg8EoK8WC+lSWJ+HSD0ezCJDZ4vaHAJnmhMNZTjhd6IErVRo8UMqBRKEaR3N9cDLfm4MJX1wo0+Akn8cJdtZnZFDBwcUpDhzO5PkRbDW4wEGH6A4fS3HH/ngn7E90+R1YBY7Fz6YzRqKtsSeW10om5IrXBgHfNA8lHUtx5TMX10UO2Btlp0jWjyUwn2gH9GjN0Oq7GQ2ea1HqcDfidyyA45Ip2DzLQIHMDTOMsHqaIZaaGuDuqQZYNlUfq6YZYAP3reD/lTONcfc0E4KqPgxEEitSWQFZrhWg/f23hMQ14u8pBN6ZOjpYaDgZZndMQcjmhbC6Ywa2zTGBw10m8FtqjDa3Oeh0moqbeYvw9fHN+Mf17fjt0jr8dm0jfjy9Eu/0Lsde9VwcjFyN4YA7eC8rcTzlXpzPXsNB2UbsTbyPALWcdbIUXZpFaPJaiFzb+QjaMBPB2+ZBe/90JJnPQYXfUhwps8S+rM04VbYVp8s24kTRfbhctxVnSphP+jo8UGeNF/eH4MPzMfjiehx+eSYd392Kwbc34vDjM1n4+blsfHMrFq8d8sGzox54uNUOX91Mwt9f5HGPRuHH22n47aUy/O21GvzyQg2+eCgb754k0F6JxfO9rniq3R6v7fHCqyNO+OkZQu+NcLxZuAiPhevh+8El+H7PUrzfthSPFt7H52qruEka5bfax++rNdodnfwOughmnRwYSoCNZr7744aaBB6CV0uMtwKuNRzQidupaq4beMx4wA3CUAQhKIwgG+RDwBJJn+h1u6GaICcR6SqDXBQd+8pQL5SFeBCsHCFBQ2TQKFH/xFf0uIs9fnMExUEOSndn8FvO0CpqOQKRg0xDhOjdolufF0a4DMWh3Ej+DlbUbkRHs49gK4aUe9I0fB5B2EsA3ZsxnvpivdETN+4reZhQKX6Z+xPERzMHtITJFn7TbQLXhEn55sV/bg8hr5Pw2Eno7JWIZgS69qjxwW4nB78dMu0vbUs824e0IPSksB1JDCSEqhUYbCYUVgS7EfgIvHK/PFb8+NZw23j0RNZdtCeTK3rYnrUTHBWdW5anWfRhWQ6p3zY+C4HZRq0jusSwNtRR8T9bprVXoFam+kXKWi9QG8rnEyDqCxxEcF+JJIKsuM6SKGPieUZAtoYDiJoQ0YnmYD6GbV9sABojNSwbwZtlFD/C4uu3WiIvErxr+cwLNDbI8LVDWag3Srm9ku9GBVOhv7USOa5UvC/w2VcHuqHIcxcKfHYRWq04mLFHBctfQfgt9LVGrscu5HtbIt9PwgrbKWGKZeAzAbMTy8Qysfyzlj+FWdGLFWv4PfEe2JckEr4gnMzwwwMZhNaiEDyQrcbl4kCcFZ+t6e44neGFswSrk5ni3FyF8wQrgatTIikRqYgYGLEz6hUVAKZuNvD9CWzUg8zZoVijL9qRHZoYVHmws/FAf7wLRpNcsS/dA3tTWYZUb+xO8MQQy7MnhTDJTm8sM4QpFKOE3H25gdiTqcZIqi9GU/2VtFuCFog0NycYB3JCsT8rAPszNOz8eG46O9QUb+znfZwqCcEx3tPh/GB2olrCtDfL6cwO0hEHc1SEaU/sZxkOERCO5mpwhOuTWaJCIVOmroRFXxwm/J0iOF4iWB5ifXSG7EKxyxok7VqKctVG3rsdhuJsWK9WhFw77E52xaFsP+X+BmOsuW0Xt9ngSK4HDuR6YYyQuzvNjckFY2nOGEtxw1i8O/YSUMTR+7E8b0Kz1IUb9mV6sVxqXCwO4LNwwcEkB4KuN07n++AEyy+S8TECan/oRoxE2uAAn4UijeW1jxBk98U5YUQMfOI54Iiwwh6m44lOfNZu2BtthT7tZrT53IdK1+XIt70LmlWmsFyoD7OFxthEYF07fRxg184xxpbF07FlgSm2zjfBavFwMNMIK2aaYI6BnmII9gfEKgEUmCSYggCtSGdlPXuKIXy3LsPWxTOxQF8HSwnJ6+dOgfnCKYjbSoANuBuFu2agz2c2Hi9fis8Pb8DfnnBksscvD+/C325sx9cH78WFuFloc5iNQ9Er0a9egF7f+TiReh/OZd/PZ7UenUH3YjB8Ne/3XnQHrUCp02Ik7lwAhyUm8FwzDdXB69ARug4nSu3wYLs3Ht8ThttjQXh+zA8fPhCKrx6MxBNdrK+4lehOXocL9W745FI+Pr4YjW+vR+GbhyPw+aUw/OVcKL58OAZ/fSELPz6agq+ux+LdE1r89GQa/v5SAb57LBE/PZ3C/dlMufj52QL8+nwJvrqSiK9uJOLjsyF4rssWLw4RaEcs8e1jafj1djx+5X3f0Orgg9pF+OnAvXiv4x48WryeAxQXDrycFKOuDvFkEEuIE1UcglNTtAfhSWBKIn95EWQ9UKpxIPi4ozTYCdUEzhqCjoRGriKcVBFoRHLXERNBCPNXAqa0xWgJbhL6Vk0g8yMEib9aT/73Z/4aNBGaWiL9Cc+iAz4ekrk1QQabGoKhmrDpr8DmCJN8t7v5vQ2lqpVBZB8HlIP8PczB4TD3DRFSR9nuDPJ7bSeMt7FtaCEEdib6sc61SqjnnkQelx6OLsKohNFuiWPZ+FvCS9eJ/2uCdKUYrxLOJaRzm5QzQowqOfhNCOS9SYQ+AqysIyVgCJOoVEjUQ8KtBGORvDuTCbG8VkuslCWA964m4KsU9YGSQNYV61ACnbRLaF+5PvOpDWS9sP4aw11YR66okdDVgQ4o9jMn3NmyvmUw4ILGEEc0BTugVgJLhDijLsAGNYF2yjni5aCW59QHOqEhyInb7ZmHLerDHZW1qDuIj98qfytUq20UYzLxeiIS4bpwDlSiJWCNn+KNpjZEorlxkBIiIYE5oOFxEuBBwgrXE7Alopv4H26JCVACQUiIX/E3XEKYFWitFT/iAXx/CLvlhFZFF5bllJDEpYHOzEfg2AllftYokf3MQ2Ba1BTK/CfUDCaWiWVi+ectfwqzOU47lFCEXWGOGIpxx2HRk03zJtCqcIhAKc62j6SrCFcuTGIo4kjY88ZoouhhumJYrPhDCG9sdLtCHRS1gv440asTtzMEWlEtICQOxjF/CUUpMMuOd4QgOZwoRlZihOHE67riQrEa5wv9cTjVE7vjCbgEMYHawQQf7MsOIHAG4FhhIA5m+RI8CZn52nGDKILq4TwNzlbE4EJlLE4Vh+AE9x0U/dFcMZqSIAJeeKBEi4tlIThbGIQz+UyFzC/XD4czfXCmgNfO9sLFAh/F7delsiBcKh9PJ3JVvFcX3oMduoK2oy90JwHRHUczPVhntihxX49Mu5WoDzAnOLsqOrSSBGR3J7sTUAWSPZXIQ/3h5hhLtmfZOIBIIVwSJg+yPvenuKM/zBK7o+2xN5agyns/U8pnwTrpZb01hdsQPHaiLmQ7hhJFAmyGPalOrBfJX/Rf+ZzSvHAk0RmHEx2U9Sne19l8NU7ncJAiUtlkFxwgbJ/OdCEMO+F4igOul/nhciHhOWYXujXr0Oy9ClUeK5C4Yx5c7tSH1Xxd2Cw0wKZZRlhlqo/1cwxhuWwmtiwyxc47Z2A1t62bbYTlpgaYrSsuusZBdly9QMB13PhrPCqYgO24d4Mls6chT7sdMTYrsXSqERaZGmLlHBME3T8dfX4LcCBiCXo95+Jy6iJ8dWI7/nbLDv/2mh9+edoDf3/WFb9d3oZHc+Zgj3o2DoQvxbHIJTgceQf2hq8gxK/DEYLskZStqPZYijbtCnRplqJetRpRW3hfS1j2OQYoVt+HQ5Wsixq+50VOyA/bDLXtEsT7rkWmehUudgbg4xuF+OZWNp4f8eUAbC3BZz2ePxiF5/Z44/1TfoTZSHx9LRyfXw7Dz0/H4x+vp+JvL+VwXYZfn8vBtzcT8c1jOfjhdg5+ey4Nf30mCT89GoNvbsTiu8cz8c31FPz8TCG+fiQVT3WY462Dzvjmshp/ey0Dv7ycDzzlixfz5+DpuGn4dmQFPh9ejedrNuB40jb0c3AokbRET7Y91pUQSBAkvEh0LwGWZsJsHeGmVO1MkPVQpGrlBJymeAIdUz33VxNMygMITwQeJTod4a89nsAYK1JJX4KbH7cRcAl+Ehyli6DXm0zwTAtFbxIhkRDVQpiUkMydSYTV1AAONoM4eJSBYxSOFEThYF4Exgire7I4EM0KwlhOCAYJsd08XgKJtBJ+BUCVcNHiMipFo0Bsd2qQApddSSEsQxDvjXAZqSGIqdAUp0WjJMKmBHepj/JTtnWkhyiQ25HEcxODeG4Q+tPD0MPydiUHoyMxUNEpbZFQ07zPnpQgdBOmO1M16EoJRCsBvjOeQMvrtfJ6tSEqZLhtQZ1EPyTAN8VrmD/riIDdnxqJDl67g+DcFuPD48Uvrag8+RBc3VBP4GsO40Ceg4sWwm4X150RHHQQXltDnVEv4W2DHJV9Eo1PjLG6otzRHuqKdoJxa4QY9IkOtJ2ip9oU4IhWQm8zwbaVg5VWQrLMSLXFefM5aJmnHyp9BIbdlDDdLQTo9hgPlsMZtWJDEO4BJYSwqEPIuxJD6OV7IuF2RU1LgmW0sw8QyXIHAb+Fg5daXlPUC/IIqaKnK3q+SnjtSE+ljKLb28D7EXWLNgKyuHKcgNmJZWKZWP5Zy5/DrNsOjq7NFF+B3b+7chmSqXY2ot2E044Qe7SE2qAlxAptwdZo42/F32miG2FUPB6ISxkLtBFoxdn2cJw7dif6YG+KL3aLRX2SswKrBwl2R1LcCFOErWRvnMkNVgIUHCDMiZTxbK4HnmwKx0vdsXi4XM1tHjia4YMDIp1NVuFwlppQLYZPWjxAUD2c7KVMxY8bQomKhIYgG4mzBFkBweH4cYnrMMsgMLsnioCX6kZgVeGhYi0eLgvGjTItrhYT5orUhLogXM/3wSMEyCdqQ/FEQwQeb4rFlcoQJULREGF8X4anElWnyW8zBgkSI/EO6CSAlntvRpnPVtaRreLqaID7xKfj0Qzx/ajCeZbpUkkgHsj1wslcdzxQ5oPzVb44V6PGtfowPNIYp1hZ9wduwokEWxwndF4qC8TVxlBcqAlFKfOOtbkXAWaLEWoxD0Xqe1GuWctOzBJFmi0o9llDYNuC/QTYM9miBuGEYwnWuEpov1Coxdk8FS7le+NasTeul/rgSqEHHshywqUCD9yqVuPhCqmfnWhTrUVP0BZUeq6G5l5TeN1tAI+7jWE+Rw875pliM6FVfMDeP9cYa2abKJLULYunYdl0Ayww1IPRfwBZAdg/JLEKxP6edCZL+NvJ2LhwKppZV3kea7GSec2TcLnTDFDkthD7ghfgcOgC3Mhego/HNuGvj7riH8/54MfH7PDjDTP84wlLvNO5DKM+JtgfdidOJa1Cn+dsHIu6ByMhIoldh57QNXwGm5BisQBV3kvRyDpLtL0DbstM4H63KdKslmBfnisONwbAa9dyzDKYBFPCuJGOHox19THFwADz5X53LMaV4Th8djWTz8wC3dH3ErbuxwO1Zni6xxyfXdDi5yfiCK5p+PWFZPz6UjwhNBW/vVaMn18sxXtnI/HWuUh8dYv7nkzFD9cJsdcj8d2NOIJwGr64loxPHkrD+yf98XT1MvzluDPwag5+eTEFf7kSh+8ficBPZ5zweIg+3i+fjW+G1uCtxo24VrgDB1Id0B3jiG4OfsQdk+hkVmpslGhTynS46G5G+aAyUIyXPFCidUCen6Wyro3wJKwSuqI8lSTTz5WiMykqBaGeqCKU1BOI2giLHbEigVQprvtqg8XYadxASMJLl2h3oTBgMyFHVBv80UcQ7Yn3VSLgHcoLZx1HKWpCo1kRGMmJxN68GOzJicIQoXMgLRh9qSGEyBAFMoe5fSA1GMMZ4RjJCsdgRgRBNAI9SWEERh5DwOxJ5W/CbVd6FDrTItGXEUkgDSGshqGbx3akhKKNwN1BCBagVaCW0N1NkB3gsW1xgYrUtTUhAO2yn9tbEvk/TsM6Ewkz4VoB2hDCdiTPDWUKY10SepPD0cdrdCcTxHmNwfRIBeh7kzQYSg3EQHoQ+tII+vw/mKJWPMT0EDYlUmEfB/eDSb4cxKuxjyAv3mH6Yz3YXvpgOMUfA/y/O3ncF/ewuNuKdGHb4sD2ywsjqSolUt9eUZOKcUN7mPiStkcrYbKXdS7htXsJ8sMsa3eEH7qjJEQ374HPdSCdz4/XEBUHiaLYT1gVn8StXIt3gwa2+yIxliA3XdFyHRWP8Wab70xQteexBOpIew6oOUhXAmB48xoc2LPsHWEEbL4zAuBdBOTuGFeMZWgmYHZimVgmln/a8qcw28mGqSnIXrFeHklkZxTlrDjT7ifMjrDBGuHIvifMDn3hdmxkxTm5F/alENJyxiNOKZGB4l2wn/B2OM1D8WxwPl+Dc7mENcLblSJvXMxyw8NFvrhZpsFDBWo8WhmKp+pjcbs5Dk8S5p6o0eJ2fSBeH4wnzEbiVoUvzvKcU8zvgRx/XCSUXS4OxYNMD5WE4KGiQObJY9J9cCHPF5cLfRWjNPE3ezrbd1wtINODUO2E3QlOUCyhM9xxIsUJF7JccSXbAw/lq/Bwvgeu5brhRqk/yxSIK5muuFGswpN1wXi6MRwPEmyPpIjP2V3oCLVEXxw7Ec0uNPvuwBAhvitMQkHuQINmO3qiZSqajXmcM84V+uE67/F6BUG1IQZPtyfgsbpQQqMfbtX646FaFW40+OHRpgDcrNLgeok/zmexfEm2OJNqj5PJTrhcSmgv8mOdOyDdbjkCNs+D1mwRPLfMRJzjItSGbkZVwCYEbVsAzcb5aFBvx4XiAFwtDVDcGh1JNmedqXG+yB/Hszw4WPDmf2+cynTCyTR7PFTG69eH4FHe67USdqThO9EbsB2DYeYotl8J9fJpCCDQ+i2fis2mOtg22xAOyyRwggmWGOth6VQDrJppiBUzjDBLV1xyTYbe7xArRl7iY3YcaP+PMCuBFXw3LUQp623HnaaYxvNNeOzOO6eiNfAe9PvNwrX0Bfh09wb8eMWeEOiHnwi031zZjH88aY4fz96Pa8mz0e8zD/vDl+Nc6moMaRZjd+gKNHjeiXLHO9GouheVHncix24O8hzmIc1yHtyXm8J5iRHCt81Gc+QGxFoth+e2exQfuVMM9DCVQL5o9nSYGhnCQE9fCctrrKuLdXfPwb66ALx8NAEH882R6zgXXYnrcKXNGh+cDcGvz+Tg1+fz8PNzqfj1lRT89noGUyF+fqUMb58OxxNDLnhlnwe+uBKDXx7L4L0k4/ubSfjuVhY+OheFN4/zGdStx2dnvfDLs7l46kA0muJ3wW/DPGR73otnht3xfsMyvJFnii+7luCj7vV4rskSxzJsCEjOGEwVt3oElghXVGh3oi6UoBPlrRgfNRFMRN2gPsJDMSqq/l1i25GgJpy68zehVpG2eRLmPBXDohpRKSAQlRFcKwO5P1zD981Lke7VBjqj1M8BFUECtTKF7UPQJQTG+KNBjJqiVGggGAn4NsV4oV6AWdQW4oLRGh+hrLsTCX2Ezd6UQMIfITUlGG38303o7U0LxUhuNEGWv7m/R44jcPYnE1JjNIRNDbpTI9CXGYfejCjCLYEzIViR3ipQnCzS3AB0ElCbCXRt8TwnStQONIQ6buexrQK0CUFoYb5thNG2OAIfjxdpq0Q9rAuVIDJS5iBuIxRzX1O0GFcFsq7DWJ4AtEX7MD8/3rOKAwHPcdWGOF/mrxpXp2CSENUSRGZEQlaL0VkyIZNpOMUPezPVijeI4URPBVj3JPtw0O5DYPXBvmRPDBIiu/kcRTgwGOusGLUdLw3HEbaFg4kuaGPbI+4G/7A7EPuCkRQteiJUhEyxVfBGD6FY3otePgcB1H6+DwKgjcy3hgNv8UctbgYH4j0wFO+N3aL+EeepeJuRKG4Don/PQbwilIh3VVSfRrhPDHxHY52wl9sPin1EnIsyQ9cVbose9h0TMDuxTCwTyz9r+VOYFb+tQ2ww+6NcMSQAy8ZNGlMJ9/pArlrRmT2aTNBKdVMs38/l+hMaAwhJWkIb9+f54WKBP87leONMpicu5XnhFgHtidoAPN0QiGeagpnC8UxDOJ6uD8ft1mjcbonG4/x/uyUKz7ZFEh4DmYLwdGs4blb642qBBy5kE4QJxddLCbDl4+nBQi1ulAXiVnkQHqkKxY2KYKYgPEQYFSC8VUnQ5fpSgQRP8GFS4SzB9Rwh9WqhSCa98GCBgLUPHiXM3SrywK1CTzxWocVTtaF4hLD5BMt8i2W5wv1HCbJ9QTvQGWzGRt8efZE26A60xp5o1gVhvoMdSpnXJnRF2eJUaSDOFQfidBavU6bGM81ReK4tHs92JOKJpkg8XE6YL/cmJGtYdm88XOzKa7vgRp4ry+OFx1hnTxOYHmYZT6bYE+Y9cDFffPi6oEa9HqmO96AscAPy/dYgweEOpDktRZbzCoRunYsU6xUYirHHtXIBU4J+rs+4NJZ1dYFwezDVCWfyvBVfnyMRlhgI3sEBhw+uV4fgUqmG98nBS/BOtPptRYd2B9J33IngVbMQfv8ceC6bhk1TdWG7dBos756Guwl8ArJ3mhD8DHUwU2cyjCdPUqStSvQvJnG/Nf5bpLTj2wRkFb3Z3w3Dti2dAfvVCzFTbzKMdHQwncfaLTNFgtksHIq7A+/2rcPP5y3w8w03/PJcAL67ZoFfb5nh77c2452OxTgSOAOnktfhUORKXMnjM/BfgkqnBby3lWjyugd5FvOQYTYNVZ53INd2DoLXTIXdYiO4rZiK0C1zkK9ai3DH9dhy5xysmDsVy+eZYtF0fcwxMcR0Y0PcOWcGZk03VWDcWM8Armar8NSZXDw2GoHR9I2oCVqOE7UWeOmAD74knH5xIx7fPpaEv72eg7+/lctUhN9eK8GPT2VxXwRe3uPCY/3x8+PpvKcE/HgzET88lYPPH4zF28f4rRWtwQengnGpOQB2d8/A3CmGmGlohLn6+vDbehcer1iHD+qX4PPuO/Dd/g14u0sGK7Y4mOuOfQWh49HjOPhsCrNXosYNp4cQrEQv1AutBK+6UDfFql0s2sXqXYybuhKZkvwJtF6E0PEp8hpCaD2htJpAlO1tjVxfR5Ro3VHg76ioIrTG+6GJ59fyGIG4llj+j/FDPeG3WCP6lB4oD3ZHjsoeJYRhMTCqDhX3T76Eai06CZ2D6WEEwwBFP1em+1sT+Vv0bVOD0ctyD2WFo5e/uwmRPUk8J94f/QRb+S96rCKNHcyKJsiG8r+WwCq6rRo0io4v4bVTAVhCNqG9JValSKfrCOg1IeKKyo/3QcAW1YRYXl9ULsQgjNcXSW2zorrAfZFalkuglyBLQK/mPYm+cK+oPfCcVvH9ynqVffVcN/AaIuEWbxE9BEuJFiY6rUodE95Fii1T+R1iqBor8KrCwewA7M0i9IrwgIAoHiAUDy+EW3GZ2Bcnalqu6IywQ2uoFQbTfLA/R4OhBDf0cbtEDxskGA8kemMoUdyNBaAj2JPtEYGaYDpMkB2I4zHxPtiTSJCO9ID4iW2PcFGAtovt/UCsBJQhMEc7ojeMMMpBemuQA5oC2NaxXeuJsmEebAd5bF/k+GydeJ7oDrFCH8s1GOGAkXB7HCDY7me/MRDpPAGzE8vEMrH805Y/hdn9qd7Ym+zNBkridNspaYSj7gMpnjiZpcKJDG+cJMweS3bDqSyZ2pdws+JSSvxGeo5LYvP8cT7HF6dTXHGO8HW10ItQ5cvkR7DT4LGmWFwT2MsU4zFCZrE/wUpC0/rgVI4XLhEuL+SKj1Zej3k/kO2Ok2nuOJftS6DTEJQJzeJBIMUNF3j81RINHizX4kqRPy4XEqbFcbusC7x5bQJ3tguB1odg7Y3L2d54iAB+Jc+X0CueGNzxWI0Wz7eF4ak6lq3SjxCrIViLWkEQHm7Q4nKNBsfz3bE30Q77E20UTwTHxQ1XkisOxLrgdIYfzher2Qk4oMJnAwaTnHC+QsLoRuBykTfOZzvhar4bwZvlK1Ap93Mg2gyH48xYZhdcF4hmeqLUB48T3h9rIJw38to1alwodMXeGHOMiU4s02DEVjRqN6A2aDs7bHNkea9BiuNSZDgvQ23wRvSL8/gER1yvEilrGG5UBeJmdRAuVATgKOt0H59dp8cqdjT2OMmyDcbbosZrHZ+vE07yGexPdsJQuDkhdjOafXkdd+a/bRGC1sxC0Lq5cLhjKiwWm2IXQXbFVH0FYu+aRtDSnYSphFhjBVwnQZ9JwtkaElb1J+koMCtpXEL7O9gSZkV3VgIpTNPTxVwjfcww0MMUPR2sJ0xaLTJEutkM3sc6fPeANX6+7IBfn9Tg56f98OPD5vj7k+b4/sS9eCjJFGOqOTiTuBanktbhdNpG9AXci0rn+TidvB2tXivhuWoKkrbNVAy+cu0XwX/VTFgvMIHnvdORyfp7mFD6wTOtuH2lAU9dqMPx7liUhG2H17bZWLPYAFm+6+C0aSnvQRd6uka4567pODccgfcfysPzY/5oD1+JzrjVuNFtj5ePeOHdBzT47KFo/PxsFv7xaiF+eyEDPz+Tih8eS8T3t1Nwo8MBR4t34dMLofjheiS+Oq/BD7fT8Qth95srWjxUtQVvHwohUFrhnpkmWLpgAebNnIk5plOwZpoRmv3uwEf96/BJ+1x8t28NPhnchOeaHHGqyBX7CgPRl6pSHO03SCCQeA/szg4iAIpjfn90EwY74lToStGgI1mrqByI26mOOF+CnBdaYnwUwG0gBNUQuuojvFES4IJ0D75vPrYEWntkelqhSOuAepmCjvdVoLdE44hygVUCVHkQIThUJL4Biv5qsZYgyzyqgt0Uq/wmwnEbobcpQoVuQmN3Qhgawv1RquVgjVDcEOeHRpZT1iKlVeAzlNBEoBSJr/hDbeRajMxE1UD0XwVExdtAa6yaZfDgYM8NZZJfiBvKteLOypr/7VAa6EDAdlGM4Mq0TihjuWpYnirCdpPkGyFl92Q+hHzm30GAlvxF17YvTaS+apaV9RIq3gF8ebynom4h3hva4wPRlhKAtgQ165GDAgKrqGE0C+yHic9XL4K/F6rFOI0DiqZQ0Yv1UCJvSXCWAQKnGMO2if9sXqeXz6sj3pvP0p3wK+oc4pXCHcVeOxUVklbxe8tn3BzqqBic1Yc4EpAlIAzbcAJsD0G1J8FPcccmwVhEYjtEQD6YrsEgAVjcJIrKQm+0zFxJaG8t9goUSzCVYBu0B1miSWuFOn9LRXWsKciK17NBFyG1K5zPUW2FnjAXdAWK/YAtBtlvdIfynQu0RR/L1RtiPQGzE8vEMrH805Y/hdn+eJEUyEhf4nI7oTPYnpAm1vMeGONoeyxOjIacsY+N1p4YmU5yRnugObqDLNDPRm6M289kaXEihaDL4wVoJWTl4SRnHBdpbroXTmf746hIexPcsCfaEUdEFzbNQzEmk2n0fQnOOCiW9ykS/tYVB9NccSTTG2eLAnA2X6sEbDiV6YvDiS44ksrr5fjhhMQi5/WOJYvLqXF/qgKcRzLcsD/BHodirLEvzAzH4xxxOZdAnK0iTHsQZlUEvgA83hiMW3VqArc3LmQ54VplAK5UanEo25kdABvsqF0YTbLFiTx3XCxV4dGGUFwlPJ/P8iQ8e+MUgbU7cjs7mXsxkuqIm80JeLItGleLPQj29gRzB5bZkfDvCgnDeSjeCgcJs6eSrXAm2Rank2xYHkeczHFW3HWNcH976FZ0R+1gR7KOncYGlHmsRprDHcj3WM4Ocgeqwnch0/t+lKq3oDFgC3ojzXCBUHwmj4BPUD/CfPfFWeCBXE8cYTlHE9hhhpohwXoaBiNtCb42GIgcdx82GGmJIa7FIX0fQXkgXCSz69DovhJJm+YhcPUMBQBtFkzBjgXGSvSvhfqTcdcUA8zQ14EJQVaSSGX/gFlxt2X0exhb2WZAaDXR04eRrrjqGpfYTpbjdXRgrMs8dAjEzGuOgQ52LZ0Bm/m66Am4A+/tN8e3p63x3UV7/PK0Fl8/ZIPfnrXHvz1uhg+6FuGIRh/HwxbjWNhSjIbci73R67E3ahMHARu43ox2z9VI3jQLxQ53o5V1mWu3DJ4rZsJqoQl8eV+ZnstwqNYRr1zNxfcf7MP3n5zCF+8cxSfPdOO5U0nIj1iL7Ij12H7vPAVmJ+sYYfmymTg3Rlh9vgqv7BfDxFUoVi3GvpL1eHafA14/7o2Pzofgyyux+OrBeHwrktpbsfjkwTB8/0wSPr7GgU6LPZ7pdsLn54Px9dVwJSrYj4/m4IvLwXi6zQaH06zgsupOBfanmszGojlzsWH5nQhz2orT1So817YZXx1cjS/778R3B9bivX4r3Kxzw5ESf+zO0xJgvNEVx+85xRcD6Vr0EY46xIgr1kdx1dUQJf5IPVFFSBRfpo38XR3gpKgEiK5oLyFTjL7KCZ+5KlukulrwWJHA+ijwKr5Wm2I9MUgw6k4Uy3lCI2G2XNQPCJ/9ySEYzAhHZ1IwGqN8FQv3GkmBEv3KTZFmCpDWRfijKsRPkeJWEHqL/OyR5LwDsQ5bkehhgfIQbxT4OKHAy0HJR8orXgSKCaoVhNaGMF/UESxLNSL19VBUA8R5fznhOtvTQnEtVaKxVTwJNBMcm3hdWdeKR4Agsbh3QKmfHaoDnRR1jGbx18p7aAxzVdxiiUuqal6rPthdcWvWLJJdlkE8NjQSYOuVchPUCcAika4TqazcW5SnEtBAvAOUqR1RwbqpJLxWhriiLtgblazrMjWBWm1HMGUKsEeZyhIlvlYoJqhWiq9X1oX4ky30MUOu+05ut0Uhjy3ys+Q2c1T426LSzwolPhY8zwJF3mwvCJES2raTbXhrmBPaY8RXrkjoHTi4cWL7rsLuZF+MyAwcYbeLx3SFObPt9cGeBB8CqC1a1GZoD7ZGb5Q9OkWFIdKR8MvjuK010BId4RIxzI4Da0v0RkjURoJxFPcTqrtDbdCptUW7mmt/8wmYnVgmlonln7b8Kcw2BHCEHeWC/jgPDLCBGk3yURyOi+/XQ4TOg8luOBAvRlvuOJDkgeFoBzaALpBwl/uTvHAsw0+BzRNpPjjGbWczvQhuTtjHc8Qq/0ACYTPdnxCqwgGJzBPnjbH0MHRGstENsUQ/G0RpGEcixHG/J0Z4Tj8bUYmudUCCMBBuD0iUH15nL38Px9pjd6IjDhBMj2apFM8His4uj9+fLm6svHA82wMHoyywN3gHjhGYzxJkT2VK9B9PXC4XdQA/lltA0gUPFHjidA63VwThGKG3k/dX5LMeJV6rMZBojYM5TjhKMD1XQChNt8fRREucLXAmbNtid5IFhmJ28dqOOF0oEmcfnMm1x+l8AnuWPQ4TeEUaejzXHUfS7XAwyRJnJFxnmguhyxJd2k3oityJpsCtKHZbjVzHFSgmiGXaL0We870odFuLZJu7ke64HAXeBCyPdchx24hG/518DrZK3PujzKs/1AKj0VboCthKMN1JuLPBMUL/vgQ7jDH1cfBxPFOFPXF2SlQmceU1xt+7CbNHkh1xLMWBz5YdWfBm1BOcQ1YYQn3vVDgtNsa2mfq4b6YBFhM4Z+tOxix9XUwhhJoQuKboTFZC1ArIGjKZ8L+oG0gYW/EzO0VPF7OnmGCa3ng0MAFcXQFgbjfi/ml6ephBsF2/wBT298xA0L1GHAisxDcXnfHTFWf8fN0FP9xwwE+PO+LfXnLAL2dX4+nsaRhzN8SJsEU4E7UMvX53Y0/kfRgOWcMB0Ub0+C9Dh2o1UrfNRqXrMlS43IOkbYvgv3Y2bO4whd2dxvDfPg+FwasxVm6Odx8rxqevtOGHv+zFP344i//23Xn89MlhfPDqEIqj3bFwmgnLq481y2fhTH8Avns6k9DqiasN21DovRg1oUtwvccKLx1W4c2TAXjveDC+uBSHb24k4AsC7KeE2W8ei8JPTyfhlaOhGEm8D28f9MX3N+Pw3Y1MHpuOT86F4LURvuNpFjBfOI31ORlr581DASHtyuEWfPjMUfzw2hG8sT8c741uwHdHV+Cnwyvx9REbAq4zzlZwEJinQRe/n45YieylQg9BVoyyBMoEZltiPFDoRwDS2hFK3RU9UNHxrBI3UCIxjBLJbgChTIX6CB8lmpRIW5ujAwmy4vZK3Hg5o8jfGlXBDoQlQijBLFNlgwLCbymhtSXWn+f7EuLcFL+sxYRKAboKXkNcgJURGrMIY6lehDeCYjVBUmC0mBAqUbNymVeJ+E+NViv6qi2xgb+7BSNIR3qhluBYEeCKcrULgdAZJYTS6mBxhcWyaRxQyfIU+9mgyNeGQOlA6HQkrNuhNkh8pjoqMFvDshZ52/IYW4InYVXgOlz8xbpCIl9J0IRGXqshhNcL9CQ4E1hZbpFGdyaKzq1WUZmoFpWFaP9xl2DMp5L3K+WQKGA1wSyf1lHxS1sdJm7SfPgs1Cy7M/J47xmuuxRgLWJdFMtaZYUcQnwuQbzIy5K/zZBktwFZbtbI9bbid2+BDKdtyHE3R6W/C5oJ2yXe1ijwJPA6b0aF2pL3IJG5HFAr/mqDCOueO1DhsxMdkW4YivNBd5A9BsMc0cN9DdzeFmjN9t6ZYEp41ZoragNDcS4EXye0BFkSbC3RF2GDjgBzDqzNCLME5jBrdIRaE4idOAh25X57dPO6g1GO6OM70UcYb9dYTsDsxDKxTCz/tOVPYbY7kjAU78aRu6gb+GKMSaajRAKrSDuTXQmpzlyLlFUiR7niYIobQYpwmyw6nX44EOeG44TKIwmuOJ3izuPdMEYgPZpGiMzR4kJxOA7x2OEYdwyzUxBL27YQO3SGWmI0zpkQ60XQG49kJXpXezMIqTn+iksr8Uu7J5XwRVgeTRZvC47Yl+WNw4Ua7CXsKtKDCEJbOsFbIpnlB+BqRSBOpREkU51wUdQLqkIJk544nOWHB8ojcDTPDyNxVhiMNccQ0940gmeehMq1Yye3Exke65HrvhrNYVvREb0DLaGEJP7uDt2KetUaNAdvQGPwJnREcV/QRrQGbUJn+DY0aTagxmc1arXr2WluREu0BTuYXagnZLYGbyWErsfeBFslCMJQrA2atJvZ6W5GutMKAivh1XMdyv3uJ0ivRZn3etRptqHKfzNq1VtR67uFHZANwZ+DjARPnM3xw83aSDxUF66ofBzP8CSwe+FoiguOJjnicqEKFwq9cSbfg/Dui6vlGpzNFUM4R5zL88CFfD6bVBecIMyeyhADPht0Bm5CtvkihK6ZDs+7TbBtug5WTdXBncZ6mKU7CdNFt5VpKqF0GtcmTKLvKiBrqsf/hFQBMYHZKbo6CgjeMWMq5hgaYrquvgKwRgTeaYZ6MNXVVVQNlk43gs/9C+F4lzGqnOfjlT5z/HRdhR8uE2gfssF3D1vh1+c88PdHzfDNyJ14MMII+92Nsdd3Nk5EL1cMwMZCV6DVYyEhdiGaPReg1nUxKhwXod7zHqTvmIMM88WI274I3itmwee+OVBv5X/7FYh3vBPtabvw0LAWTxyNxntPN+DDF/rw08dH8PfvL+GLVx5Ac3owVs6dgfvunomHjibip+dz8OV1f7x7zAU9casJJ4txpnonHhv2wHMHNHj9SAg+fzAV3z6ahR8eTcZ3jyfgh8dj8evtRLxzJhwHCrbhdPEWfPVwEoE3C5+dC8enF/zwxj5vPNrph7Btd2CloQ7aklzw/iMD+OLN04Tt0/j2tVP46HIZnqxbi29P3Ycfj67Cj8et8NFuN9yo88AoBy8dHAgqYWkJtRJIpIGQVUuwbCKcSdSoJMcNimN8mfrvSglAXwphMcpLMfqqC3cniPqM/ya8FYsEkfBVH+6LEgJkgUSjEgMyAm2tuHMSYCNQVhLqxFisMswH5QS/fK0r8giZRYHOKNQ6cbsbyoKd8b+x9xfQkZ1Xuj/sBjWqmZmZSVKLWSqpqqTiKpWkEjMzMzO1msmNdttuMDNDYoY4iR0ws2OGODPz/J991JmbmTu+31rfndybmauz1llFh+u8e//2PhtqCa11iTrEB7vC5LUDlZI0lUtgTdUroQBSF1eS0zqSIzGQacOQUuHATqi1Kt5ZeUwvx1VGuKvQBXDciNdXQ+gOJiRyP4THRsJzHQGxkUDbQXDtjA0hzAfwOPmdLRjtsbweXK8yIpAAGIaOOB2vjwYNhO0ynXhHg5Rr0xZHUI3TozVGhzaHxNnq0JNGmSUVECTWN8mqJIi1xBkJ6YRennsbl293iJc3QrmO4rUVb7Ucu9TqbbSE8ZoRQk3ieeX+Cb4NBOxm7ruNwFut91c8tA0WH773RKnWE3UWLeVRgAK8FRpPGrS+XJ7QKs0JeLwtXLZO74YagzuPm/IkPhjdhNQOiy9qVHtQo9mDDrs/5Wwgurlct95DgdnWSFd0GN0xxHUOOILQb/elPOZyUuUg1o+AG0JZzfs72gd9ZncMx/lhUOJpEwmslLXHEkNwIUNalftdf0LniWEzX2k4HLL7jcLs6DQ6jU5/t+lnYfZkmkoJ/pds1aMiwGjBH0sIwo1JQbiVUHRPkRZ3F2pwT7EWdxWpcVNaoFKv9BZC62UC5pUcgSKJU9XhNkLuZULvbdKNiq/XivS4t1pCBUw4y+2fTdMo8VlnJJyA0HpSQgxSpD5qJAFPSmxJx6xI3MLXSwV6HpOKMBtCiI3A2QKL0jlMeqnfmEcgTqfytfmiyeiF/ngVDqdH4GS2gesble5b99VacF9TLO5tiMM99Q6Cawh64wIxLA0b5JwJcYPxnmg17UKvw52C3BvVuh1I912PrKBNyPJfi7LQ9SgO3oDykI2o1uxEo2EfarQEgvBtyA/ehCLNZuQGr0WO72qUh25Bi84FlaptyPVdi/ygjShTEw6DtqLV7IqeKDe06rbjSKI3LvDa9Ue7ozJkM+oNe9BqdcVgilSUkNJPXjiaEchzVhH8gwn2Glwq1xHGCaBVdtxXE4drxXpc5X9yf60JDzXbcXclgb3WigdqLEpP/FsI53cSzm8vpnFBcL2jSs/vQ3AlP4j/Gf+/DD/+V8G4NS0EN9E4OJ9BJRXjiqqA1UjYPhsxu+fCY/4ErJtEkJ00DrOcCLGEWUn2mjWGMEp4lfACCR0Qb6u8n+E0Xvn813CDeVOcsHrONCyYNIGzE+ZPnMDlxnKW0IOxSnztNG7TZdFk2LbNQ/DS8biYvhEfXArDdw8b8fFtnvjyzl347tlg/OWlcHx/ZSverJ+NBxOm4u64Wbg9fhluTV6HM7GrcMq+DN2qmWgJckZPxHy0hy9At3YZeiPXINt1Duw7ZkG/cQYS9i5GissSxOxajLj9qxDvuwrFkVtwuTEMV+t98OAhLZ69lIxf31eIt59sx09fPoOv3n4CQ1WJCNw6H0/dmYtvny/Gh/eZ8P6dvGdr3ZDiOw8DaZvx6IEQPH3aiJcuOPAu13//gQJCbxY+fzwT3z+fS6DNJMza8dqt0TjB83zuQgw+uDcd792qx5vnffHOVQt+fzkVPY4dSOLxvnZ7BT579QQ+fO0MPnjxNN5//iTee7wJT3W64OOLu/HnO/fi+1u98MmpADxe70WDj/dPahC6EoKVEns9iWpIzdm+FD1f9cojfuki1Z4gmfcmHMyLwcEswmSyXukkpXQAI0j2p5vQR3BTqhLER6IlRosagli9QB1htEc8lJkWDHHuSTIQMMUzSSAkuDVyrojSop6QWEOQluSx2pgwtHMfHelWNHH5kqgw5JiCUZPA7QsgphpGQNYuXahUqIkKQXMSYZoAXC3hBbERBDpCH9eTR/3VEvNqJ0DGcXuxRlQYA1EuntjYcNQQ8soivFBF6JOOWg1Wf8JuACoIsyURPPeYSLTaNGgyEZqjtTRWeU72Ee+seHjFm9xKkJUEskFeG6mM0H29ZFeveK0TpTavCW3xFoK0nhCt5auW0BsxErNrCiVQS1MCXgNuXxLNmiVMQ9kPr7EAOQ2DligNZ8J0bKhSK7YvhfsQeJaSaTzeRpMXDeJAtHGZJsJ6kzmY0OqHelMA4dyH2/BGi4kzgbQmwgVl2n3cP2GW/3231RctkV6oCXVDjt8m/u6OdgJpm94FLVyu2+yLrqhAyk4/yiTCLI+1PzoYbYTRJpMnGnX7cYT3w5l0A2VCAPr5/enkcC7niz7u41BiKM7nROJmyvczUk87xhMnpEwhwfYwj22Y+xqF2dFpdBqd/l7Tz8KsgN+VEh1ulhjWWE+CTjDuLFDjgRINftlkwks90XilNwYPlqlwc9wenE90x62E1kuE01sIhTKfiNmJK4VqQquUfgpXylldzAzB5fwIXCuM4GcVThFaT0ilhIxInC8wEWgjcIhW/vHUkJHuVgTgmwhpNxXqcS4zFCfi/HHIIa1x1TiRGY6LxRbcmG3G6VwbpE1uryMY7VEqDCebcYyKtdPuT8Hvib6EAPQQFHvjvXEoW4PBdI0Csa0GNyoEL9SafajU3amkKbxtbqjR7UR3nB+VCZWexg3l6n0o17kiL2gLSlTbURy4kwDrjlqDF8o1+1ES4oriIFdkee9AdtB2FGp3Uan5oNngj6EoNQZjQtGk80ALFU6DwQftRm8ciPfDyVRfXJAYWl6jsznhVAreVCI8XslSTg7kdQhVHvcdiuNyeRG4Wi6luSy4pzGaMG7BvTVmJcnrarGO18cf5zP9cCk3mP8fDYysoJH6sgVaXJP/MpuGCOHm1jz+XsbvaYhczlUpgHtXiYrGRyAupAUQHnk8hOQb0wNQ5b8S+e6LYNkwDV6LJmLz9PFYNmEs5kpYAWF19vgxmDOWr0oYwQ0Yz+8kpEASwGZPdMKUMeMwmbArHtmZ48YoFQLWzJ6K5c5OWDl9ApZMnkh4Ha94cifx90nc1ixuP3zjLIQsmwTb5kl4qs0Fn1zW4st7tXjn1GZ8/eBe/PiSBj886oGPDy7ES4XOeCBtFo6HT8Et8UtwyrqEMLscl5LXoE89Aw2+Y1DrPRkNgbPQEbYEzcHLEL9tJrQ8J/cFTtCum4bEfUuQ4LICMa4r0ZhM2LHvx01VKjzUpMK5Kk+8eG8xXrwzEy9ctuC7D27GTz+8jm8+/AXO1lmQqd6IO0+Y8dxJFd68hYZad7BSszbeZzHu7grGG7en4aWbU/CL41Y81q/GC8d0ePuOWHz5VCa+fDJTiZH90xP5eKSPY6bEBe/cHo+3LoThrUtBhFkdPns4G0/2a3Aqcyc+e6YV3/3hDL55+2Z88dvz+OGd2/D9rwfwu5vN+HXXDnxz2QV/vtcPX1/yw8vdPrhUGoTDuWoM08AcyIzEULZJSVySbPpmmwoDKSNxo52E3CNFsUoTAQE4idMU72wPAVKK53fGhaM9jstJoleyQfFSCqh1JBtRHcV72xGuVDSQ0l6dBOViQmK5MQRN8Tr+RmBLMBJ6zWhPMaCe8Fka6UdQlVhbI7q4TjuBV5oziMeyl8d2IN0GaZlbR3Br5DbE21kfoyEUX4dZQmGbtGYl/Cowa5cKCRpU2yJRblajjiBZFOGDOsJvmcUfpXpvHpMXigh0ZRzvVTZ/Jfmr0hTI89OiwUTo1RGYJTzBIQlqlCMcswLVCsBLZQPpGiYgSwBvS7bwmHgdxDvM42hyGHi8Ut1AizqCaT1lULUlSLkujQR4aQNcTvCsIIDXSEgEAVY6k7XwNwlDaOaxC/Q2cDlpWNCdqKWBHUVj1kyZRoPCrkIvwXwgXotOHmMbYbuLEN7D33ok8SpRpbQHl7bb8oi/nXBaE+nJ5YKU9r1HaJQc4P/dZQhEcYALuqNotDuC0GZ0RVPEXnRSLtVLa1qjnyLXaiL2ozJ8H0qCd6I8bBdKQ7YqdWRPpdGwsfgQfr2UsIIDMf4YjA1U2pIP2DxwKsEbZ5I8MGDajYNxPriQqcHZxBDclhc2CrOj0+g0Ov3dpp+F2Wu54bhDHjmXGAk5alwjaEl703vLtXiuMwov9jnwdJsFdxT44nK2D26RNqp5WpxOJ2Aq8bSE0bRAwpmUcAnG8fRQHEsORr/NnTBKiEsMxrA0VCCY9sb4oj8+GH1JFNJR3ugwCcwFUlj78bMnOjgfTZXWuhKjK00HNLhUGIkL+QLAOpzNM+B4lgYDyUGoNrpRKfiiO55KxCTgSDDV70OhahshczMSvTciL3w38lS7kBuwHbadG5RHdY1RAWiw+/LVi0rNhYDrgla+76bA76JCaLOOtJhspiBvt/qiw+qPnhgKc+myQ0VRH+mNihAXtFAhtMf6o5uQfjiLv1Ep9li8lAzf4QRRLGE4mWPAKXkcR5g9kRGA28o0eKDOjttLTLhUEImLBPgLuRLja8CVchvuqLThXqmVy9+lm5fU7b1aYcRtBNVL+Wpc5H8zHOWOAw5PxWC4QOg/n0mDghB7RdoN8zpdLaZBkR+GK/nBuFakwtVSAm5pJK7kqXE5jwZGXhBuywnCpexgZRvnsqSe5X5UBKxCyu7ZCFkyHrtmE0Anj8fSiWMxf/w4zBxDQOUsIQbiWZW4V6frUDud8Oo8VsILbiDMcpnx0pp2CrbOn4pVzhOwaupYrJnuhHkTnJR6rlOU5bk9wuyuORNg3zkXIYsnote8EG+e8MfHl8Px1X0afHCTK354OQJ/fi4M31zdive6Z+GFAme8XL0El20zcGfaChxQz8T5pOW4v3gbLqevoyG2AYf1i3kPu+O4bRcGzVtQFbQKxg2z4L1gIoKXOSNq5yIkua9HVvBmHCrlvZTrixsrAnEy1wWH8nbjWm84Hj0dhXsHIvDsLYV4//Ur+KcfX8Crzwxh/6alcF2/CAFbZmI4n6CQshPF4Rtg3rUQJ0vc8dotCXj2rAN3dITiEULpy6dteOMWGz6QxLBHkvHFY2n47NEc/PFqIk7lbsALR7V4+xYTfnV0P35/SY1374nDe3fH4ZGO/XjjWjo+ebELn/zqEN7/ZTe+eGUYHz5YjA/vTsazjfvw3jE3fHNXAH66PxwfnJK6xEE4KJ7ZJIJrtgEH8iUj30KYtRBkpUaqXkncOpBjxZFiBw4UxClVAqQs1VC6hcafhuOQcEUoa5ZH7UkEOyk9lczXZB0a+HspgbBI74syE40fawh/M9IYIHSlmJSM/XpClFQd6OP30sGrg4As3lJJHKsnsMoyLbEEY762OgTytKjmvgoi/FFiDkFtnB71BMcyWygKCFsVBNRykx8hViouECIJd2VGHoNSMiyIx6EiUHI79lA0E0gbJB6U+2oTCCZkSmKZVGCoJUQ2cX+tBMKOWD3qDBo02jQE6BBu3xflBk++J5DGElAJ7p1J0mjABmljWxMVgVrCZD1Bttocjgrus9pKILYSnvWBSrWHCh6vUqrMQaCX5DUeW7k+GJWWUC4fwuOOQI2Jn7lseWQQSnm+NaYgtPJ8JPxB4njb5frwmjZZAgmmwWi1B6JW2uHyOtTTUG4UT7PRQ2laIwb+yYwIDFEuHRSDhADfxm308bx75GlVhCvqIt1RpXFHo8Edddo9qNftVp4oNVn4mXKqRsdz5lzL5SrCxEDfixqNC6rCd3Bb3ko3x4OxIejgte6gzGuK8CAQe+EA5fWRWF+CrC9lfxCNdz8CuC+NcD+cpg64Rnnzjw2zP+HK0Lfwb/6Z+fyP15cbnUan0ekfcfpZmL0xmVZ4lprWvhqH40PRTcAcjg9Q2rTemBmImwhBUmHgCIHsCIXVgAAcBVhX9IgQayFUSqxpb7w/BbIPFaIvDiaFopdg2qZzRafFAz3Rnvxd4ti80Wr1oKB3RbVuH5oIku1WwqF6D/L9NqEyfCf6BIDTIpTQgzMZoTidId1mQnCM4Hw8W6NspzXGC2VcpyXKHwWhe5HuuRE12r0UzHsowLejhQJbYs8q9e4EXg8qBl+0Uzl0xYcQQAMJqzyOKB+0mvkbf2+IdCWcuvN8/NBJkO20E16TwnEgLoRgSoURr4LUfzxXFM3vw5R434OStJYtxcp5fMlc3sHtm3m+Jjf0x1AZENpP5VqVJIs2ftcW7YHBlAClGLokT5zLjMCNGRoc5vU/mWPEpQoHbiow42qZTel8Js0XLvCcL0v93lIDrpUbcSsB+LRSNi2c10eDi7wet3DZWwt1Shm1C+LBJvBekSYJxRpcKZBY5jBcoIFxM9e5KN3WskJxE6HnLP+zMyn+OJbgjR7rbuT7LEPk6klwnT0Wa53HY5HTOCwimC6Q0IIbxmDGOEn8GjcSWqB4ZUcSvqYRdsVDK21spxJSlxBgdy+bhR2E2aUTxmDjjLFYPW0cpnPdvy4/f9J4rJo8DuqNs5Gyby4St03C1cL1ePd8AD69EoJPb/PDp7cH4s8vm/HDQx74/MxK/KF5Ol4vn43f1C3FfcnzcEfiUgyGTMWN0fPxcNk23FO4FecS1qArfB4upOzFsGUbKv2XoNhvGaJ2zIPPEmeEr5kL266lyAveiqFUP9xcq8XxnP04lbOX/9UOXKhwwyNDEXj55kQ8ddqBY4UeOF4aiA9fHsJ7L3UhdPdyLHSejIWTJsB7w1yoNs1CVuAGFASvRV/iDjxzWIdnT1jw2IEIvHDKhl+di8UrZyx4/y4HvngiHd8+k4EP7k/C+/cl4f4uT9xathcf3JeN319UE3q1+OihBHz2VAZ+d0XP9SPw4RNV+OiZVrz9YA3+cGcxXjkZjVeOG/DacCDeOe6Nr+8MxU+P6PDpuRA838NxSiPmcKGJMEuYzB4JBThAmD2SE620IO2QlqnSLjY/GoM5dkitWenkNcBlhjONGEhSKx5cqT3by/Ub4rSosqvQmKBFqTkQ+ZE+KCUgFhJwSo0B6JA2rlxXwhaaCKWNhDHp8S/JVN1JEWhzENZo5EkZsHo7YTJBMv8lrEE6hwUTRkNQaglGuWXkVaCwQOeLXK0XcrSeyNP7II+vEsbQkUAItUpC1UiyVUNsJGedEts6kMZjT9eiX+qqFsZiOEdiW02Qdr31seFoFSAn0EtIRIfDiM4EK7p43h2JGrTFi/c3TAFbKU3WIslaqVb0pti4T2mda0F7qoXb0RF0dWgk4Eod3booAq1ZwFZCMDRKTHCFiduxEVyVsmRqriPhBhrFs11v4W8E2iqp22sUY1w8xeEj1QsivCivglBj8EOdOYDf+aGKoNlo9ubsT/jm9wTWukg3RWb22L3QH0s5Zab8NYhn1kP5vT7SBU2UgQKvNRFuqNbuR5V6Hwr81qMsZAtKQ7eiRLUblVoX1GrduJ1ApdRXI9dt4DZa9dx+5F40chuKHCPUDvH/E5jtMPqij4a6xNl26/bikN0NpyhHFFmfFETZ6YFumyv64v/Rqxlch9ne73HXsz/imX8//+4v15cbnUan/8emL1/GmfpMpMTHIz4xBcU9t+N3313/TaZ//hRPH69FZgp/5zIpxb245+2frv8IfPfKGVSkybp56Lj/g+vf/udPPwuzTUYf1Bo80Wz1QTUt+ZKQfRSgPmi2ePLzbjQJDFr8UK/3QFnYPuQG7UJGwHak+GxGkWovSsMpQG1eBFla8NE+6LR5KiVeemyEwygvdBFqex0+nAOul3fxRT0FZYtdPAN7KXD3oN7gQuG7jzDqim4C7/F0aWVrxEkC3YHEQIJC6HUQDUCz3Rvd/NxNQdxP+K5QuaDAfwcFsz8hU8pbeWE4jrCZHI7OmGAMJGtwjLAooQgHRFnHSxFyqZlIACVwHklREbg9CbE+SokyqcF4KDkCJ6gcz+XqcTYrQqnBeDxZjbO5RoJ/JM5JBYdSu9Ja9ySNgCMJQbiYR5jM1uFAtD8OS1vfFC3O58fhUJwGLSYvVBC2y6kkGgnzLbxe/RJikcHjSVIpHYPOl8fiLLd7qZjvuS0JOzjIczlIcL+RUHs2T6NUdzjD9wrcp4Vw/XAlSe5kehhOcT6eJOV0AnFzkQ4XCb7HJOY4zk+JgZbawSf5+0V+dyOvjyRtHIzxwECUK/8jFyTvXwL/JROxZeoYJbxgPsF0ASF14dgbMJMQqoQH8HWCgOwNNyihBzMJvM4Cs/Ibl5WQhO2Lp8NnwwJsmumErbMnYOO0MVg8gctzGYHZuROdsHrGJOyd64QE14XI2z8Ltf7T8FSHCz65EoxPbvXDO6f34rsn9fj2YX98d8dOvNM7F6+XTcQf6gmzVQvwRPYi3GKdg0PqKbgQMw/35KzFk1UuOBe/Gs0hszBsW8tz24xm7UoUeC+AffssGLbORbovwVO1FU2WfbyWgfx/vTAQswGtuvk4lb0dd7cH4vFBLd68lo+3rhXxvRk5frNxsiIIr13LRSKBYOuqRVg6bRo2z5+JfQtnwL57GQ2lHTiQvAN3N/vj0b5wPDAQjoeGNHic85PDGm7LgU8elta0qfj0wXj86al0/O6OGNxe64b3H6jAu1csePG4D967x46vnivAn9+ow++vxuC1cw68c38lfndvOZ69MR73tKjwYEsA/nDRhHfPqfDReV98/7AOX9wWht+fNOC2chWOFxkIo9KJyoAjuVE4qjQoiEYXQbIi0k+pXNCVKmAXoZScGkgn7BbFEXCj0JkkYQJqSEvbBnn0T0ArlmQuexhBMwSF8miaICmAWEdolTjVrhQ9+giG7dEqtFmD0BwTgipbEOokZCGJ9368Fk3idYwTSE5De7KR+7cQqqMVuG0WwCVs1sRICatwlOv8UKL1VpKxCgjNlQS+7kw7OgjMNYTich5DHZdtSyGQpkVhMFWPE7kWnCuz40xFLE6UOnA4L4qGiB2HC2LQm8V9ZdvQT3gfacoQi8HcGOUadMRJW1ctpANYI8+1XWKAU4zcNgE2yUq4lba3MehIs6I50USQlTJhktwl1R00BNdwNMVGoNkRyXMOJ+CrUKHMIQTbUB6vWok3rpM42hgtai2hqOJvUpFBYLae10tihcsIizWEeUlma4qiMcDr3ca5k8fUxt/bCfk9NLCHHCr00tjui/HHMCHyIA2PdsJvO693T2wIuijH+inHuqP80GENRJPOi8DrjWZCbhflcovRlVC7DVXhWwiz29ATtZ8yWRLEfHA4zgst4TvRFrH7evMUF8qOEcfEILcpJboGCdEDdncMR7srBnCzfi/1x37Kfn8etw8KNXuh2r3kvwbMDv2AD69/MzqNTqPTl7inPh6Zw0/jS+HTH9/GrbX8fPzlkZ85bl4+mon42ot4/U9c4J+/xOsXahGfeQIv/7P8/gFur6jArQK3Xz6NoewhPKd8/yUe7OrAg5/K+/+c6WdhVkrYlEtMKKG2XOuJeioR8VY0S/kdCs4uCsnBpDB0xEgffTekExzLjV7ICtqHKoMfDqab0Cl1C5PFe6lRWroeSwxGr2k/DiT44mSmSqlAcITQdoAwKzFbbTZa8YTaVr52iKAkZB1IlT7jYTikQFowzmZrlJCD/uRQdMYHKSDbZPNBT1yg0rVmOJ5C3+iBbPc1KA7chjZLAI+X4BxLoW1y5eyBRos315W6i2Hcly/qIvejSxRBajj3w207/HE0U42DqVQUPP5jhNGj2QZ08dxlmZsr7LhWHYNz/P5Gfn9ayovlm3BTSRSuVDlwa4kNNxcSPnMMuDnPiPNc5kK2EVf4++XKGNzM11NZRkK0Bv2JYQQeFQ5lanEoh4qdkH4gLRRDhNAThNgzBWacKzThTJ5BUVSHCJ3DKYE8FsK7FCXnNTqerea5B3F7wThEED6aq8MRXvMe8ZbE+BHk/bndIBzOILAnULnxP2sWzzMNhXrtPnSY3fnfBOJEgj9O8ToPUolJ97I6417C3nzsnj0ea6cQOAmrC8aNJciOVRK+JBZ2Ij9P4CwgO42fJexAvK2TbhhJAlsweSLWzhgP1+XO2DGP76eOxf6lU7CRcCwNFiZzWal4MHfCOGydOwnaDdNRF7EGjar5OBqzAr++MRhfS3jBBTfC7E5883AA/nRlB744vwa/a5yG39RMxodd8wi0C/F8/gJctkzD4bCJuC1pIe7L34iHS3fh1rR1OGFfiUOW1ejRLUOPYTlKfRfAsX06EvfOR3eCK5W3Oy4Wa3Exh/e2dT2qAqYSFDbQQNiG+zpDcLXaD48NGvHyiWhcrQtAphfX37+YgOOJ1qQguK5ciEUTnLBz2XysnzYFwevm8b7di574Lfxvd+BMiQsud4TiWkcQHh4Ixatn9Xjjkhl/vBJNoE3Eh/dG4bOH4/HFMwV4vD8ET/QG4eMHcvHbU354/0oEPn8sDl+8VIB37oqi8CBY35JGuC7CI8Mm3NHihUd6PfHrC5H46JoZ75z0wfePWfHdw1H49KodT3TSgOE90iKPzKND0Js2EgNaZVBxXKvQl2pU2rz2ppmVmNVWAbjECPRmmNBO46uF92mjgCzBNCXAE0U6H6WDVznBS+JlO9KkexbhL006ZxlRTWDqkK5SXL/bQWg1B494OmnA1RJ0uwmPvdl2ArQa0tr2bHUBDvA7CV2QlrBHpJtWhrSSNaONIN0v3cAkbpYg1yjAZw5UYm37M2KUeNq66DCU6H1RQ7jrSrUp3bhOF9pwKlfaxxpwotiKUyV2yiI9tyWhCUZ0SnexzCi0p9GYLUzAicoUHC3LQBMBvCFOkrUEjHWoJESWS8IVwbWvIBG9eYn8nuslmxXvagPPT+J3W2J5TRMtaIrToVziYrmOUpmA16U5TmJpI1AlIEu4rYslwEZp+Duh3hGhNHSoNqvQEsP96bgu4bWB5ylVIyRhrCkmAg38n9r5XppMtBLupTRYF/c1mMyZ10gM8v7EEAJ7BPopl/scoTSMxUinTJRyWdKly0FZw//gcKK0nw3HGcobqRBzivfGsIMylHK3x+6NAb5vNrpgKMGbsssPZ9P9cSjRC4ei3DBgdVUarhxM9qd82Y8OiwuX3UM548r/yB3Nll3ID94Ay66FSPHbgEzVboTvWIEN06f8N4HZf8Hnz3+Pws7r4Qet36Lw5h/xuaKgOX32Awr5ffPT/3T9C04//IhmLpd17//wVgF/xkFuQ3vbn5VPH977Hbf3PR544wc0932L0Ovbbn74b9cZnUan/9PTcxiKj8fQ89c/cvrukQ7EV9xOTJXpZcqTeBx+UfkwMv34GHrjK3C7soCsT4BVfhgBW/n+y/ubUHzhd8q3/1nTz8JsJ5VOJy3+1uiROoytMSqlZIwU/u6hMOyjwB+iAO2JD0OFwZMC2J9KQmLfpK97JAFSYr780RblS8AMwsnkEMJSII4SmE5mqHAjBenJDA2OiRCWR/iE1554gme0D1ooVNuiPAiyYThDhSTlwY5mhiuAJR7cnlgqM0cwj1GSuzyokPej0eimQGx/TAgatB6o0rohM2QP0oJ3KqELtRG7UK93U+LAikJcURK+HwUhu5G0fw2SvdejgEK3PMKNSsOT8L4PlREuqIx0Rb3Vm0qG8GfnbPFDZ3QAjkvZsWI7IdaCg1LqiL93OoLQSzDvEzBNIxSVxOBsjpmQqMVBXseTXO50lhk3FlpwLEuLQQK8KKDhtBFPkCjZA5k6HKPyPZqt57mreUOEUEFRKVFJCZQOiGeZ+ziYRqPC4oU6Xvc2m8Qch6DNxPcxvgQziR02URGFosXsjXqTNyo0VDj8XbKSayMl4c0TxSG7kLJ/NbK8NqBKvVvJbJYKFocJtaLQ6vUuyPBaD6+FztgwbaRF7TzC6jxC7ByCqrOEEIg3lt/9tVLBrPHjMIOzxM9K3OycyU5YOnks9i2dDN91M7BjthMC18/GlmnjsG7KOKUKglQykFJeS6eMR+iGmch0X4Ae0yp0aubhcsEmwpkRn10NwxvDG/HWie345j4ffH7zFrzbPwdvtU3He13T8WHnLPym3BlPpEzGvfHOuNk2E3dmLccdWWtxW+oaXMleh3MJBFnNfDQGz8SRmFWoD5qLTsM6VIYQbIOXoTJ0JcHVg4NNj1sKA3C5zI//3U6cSNmD+7rC8GS/Dvc2+OKBBh+czqURYNkOzabZiHHn+pY9MO1ZibXOTvBaswSbZ0/HHl63FL+VSPBbDqvHXORqV2A4zxUPDkTg+ZN6vHlTBF4+E4ZnDgbglyeC8eub1PjskTh89kQW3r47EQ+2uOG9uwrw0Z3R+PVxP7x7NQKfPGTD54/Y8cdbI/DaSSM+vr8cj/aH45kjvvjl4V149ZQH/vRQLN4+H4Qv7jfhhydiCLMmvHTAyGMWwzNYCSlo4f0mtWE7CayS5HUwy4J+QmibQ62ArZS0qpeyWfZgFEW6I59GbYmUqCKUyvgWb6WAaAtlRAOhTWJkO8SjK3GxqTolvvZYfhRuqknBMIGxJ8WAbhq3UoIrW+uNOgLeoWIHDhXFYDCT6yWEK+1cpUlDszVUSWqScXUoy6BUXxgiZA8QMpsIzjWWQOXYpWRYfqQ3snhsacF7URjhjUqj1IgNowGqw6lCO8ejFjmqvWi0++EQDU/phNZLOB/INqMhIRIVhNFqqSfLY+zIJEynWwjvRiXOVeJjK6zhqE3Qo8IRiTqOqe6CeHRmx6EpxaLUw22W8AQlaY3XLt6oeIQbCJw1UeGoIoiWiVc1Rjy7Jh6vDg2EVwHfZoc0m9ArMCvxwQ2xEQRyvtoJuVYJSeB1lYQwG2Uuv1dq+/K6NPC3Bh6TNGaQ8mPNAtNW/leE+0ZrAOV0IOW0yOtgJca2Wu9F+JcwBQlN8EWHPQgNBm80mCk7OL67HIEYTFWhP4FGscNPkSN9sTR2oriu1gWFqq2UFzt4HT0ppyjfTbuR570cJaEb0Jvoh7zAzcj03YisgA2c1ymvRaotiNqzFGGb5iJw+RxoN82HZe8yqDct+G8Bs58/+p0CmrV3/oi3v/wJbz78HaIInUYC7QiWjmwn9G9jbF/8fgRO/3bbH/yALH538LWRcxqBWa7X+x1ufvJHvPDyj7j5xAgwH39DWWR0Gp3+L0w/4en+v/HM/nTdM3vq9ZGf/6Ppg9tREd+Lx5Qh8O89s714+lPCbt4JvP5XA/A/afpZmK3SelFgqahEtOiQIuNRBNM4yXBW81VaUforQDlE5dWXLP3IKdipYCQzV8r8tBKA6yg0a/UeaLf6oN/miwbNbtRpd1GoeioeW2nd2ElAbCdwtVn5O5erMhK6pMwMFdDBjEjFc9kbHwzpF36ICq5L1okNQk9CGPoSpH6mCoMp4eimIO8i2A05QimYeVxp4VyWCiByP9oJyrKeHEuL2Z+C2guVak/k+LsizXsXijSeKBFlKApb7YECUY5UgllBO1EQvg8VkVKxwAvFKjc0Wnx5DbhtAkEHlWs7lWczlUctlUV5hCvKeI6djgAcSFZjQGJsqfR7+dpNOOiQRJokSUSh0jW6o83io5TISQ7mdYkOojGgJcxalFjZAV7rJhOVEY+3g+t20jjoJRS3E/wlhlHApNHsx2vJ/4hw0BnF5W1+qOG1LOc5S/iHlPiRWMVS9X7kB+1GiWofanguLVYqPEsQr4MnCgL28Lz2cV/e6LTJo0hftPJ/y/UlrK2ag13TJmC5VC8QkCWgLhSYJcROJdAqnb0EavkqXtnZBFlJ5pJYWWmcsMJ5PHbNn4igDbPhs2IqPJdPhd/qadg4dRwWOo2FM9ebMWEcpnH5LbOcELVtOprCl6MhZD4OWBfjwfpd+Oi2CLx/3g+v9azGe2f34Jt73fHRyeV4q306Ph6ch497Z+PD9hl4o2wynsudgkfTp+H50nV4vGQV7slahSupK3Fr2lLckb8Zx8zLcCp2DU7HrcEpxyacI6g2ha/gfbkOdREbeJ134lKZGvc36XFvixp31ITgeJorLhb74dFeHR5uD8XlIi8cz+E1jPWA+4oZUO9YCuP+FTC4rOD5TUeeeid0u1dhPcF23XQn+K+dBe3WOUj2W4QmxxZcawvGs6cN+OXxYEKyK+5p3oUHut3w0plQvHWHER89nIpPn87HA50+eLTTF58/lInfngjCm2cC8ScC6hcPW/D5/Ub89rQWH9+Vjd+cMeHFE/54+fhevH5qPz65R4fP79bji3sM+PMzsfj0SgRh2ICbimhoSex7UoTyCLuNY/Vgrh2Hc6PQx7Er41fAp4WgKOW4pKFBlTmAY2M/SvUyLoMIZJEYyDChN1mPXhpNvTTUJOZWALiLINpHeOyM434IxccLYnCmgjDL7Q+k62ioGZVmCkbXLUgO3Iu+bCsOEGa7U9S8p/2V8SJNHYZSI3E8y4Tz+SPVSfo41g9z/UEaytLGtYv7kAYGks1fYwlX2uxKU4WSSD+U63w5FkN4DKGUHUZU8XvLvrUEcg8CtRZDWZQfyQKXkWhLIVzHG1BPEG0lnEplgp50QnOmRfHcdiVb0JTA39LtqEswI0vjj6p4M0piDUiPDFA6klU7aJTmxaBdYNZh5nbFM/vXzmg6NHJu53ZaCa5Sl7dJun0RWCUZTJK/JJxCqUfL5aTJQiPBVhpSlOmDUCnlvLiM4sEVLy8Bud6mQY2RhoiV31uksxnh3hzC8e6nyLAyHeWaJMjp/TnmvVEW4YsKYwC/90URZUCFeNQNoag2hiiVHcokaY/fSVexWkJuFZeVZL2aSB80cTtZgTth27McGQFbUG3ah+rwLagK34YK9S7KOhc43NYg1WcrcgO3ImbHEsTvW4HCoG1I99iIorB9yORrkusaHrMbWqI8/mvArEDnv5//FUJ/wl0EzKjb/jYZ7F/wq1u4TOv3eOH6N2/fzs+93+Nt5dO/4IXz30I7/B3imr/DA18qX+IbQrGyznWFPgKzBNn3Rs5RmcSjy/3/W4/u6DQ6/R+efnodJ/JG4mGVmNimB/Hz0QHf4bGefwu7371xEU3/GjP7On/Pw4nXrv/4nzj9LMxK7clm8TjGqwiXtOqpVKQlZleCmoI1ELkUVk0EMAFZKSMjdSulNaUIU3kMWRDpRuXlxWUClT7hXTFBaDJ4oipiLzoc/lSIKnTGSFJVALo4d3C5Riq1VirTHsmgdoTjsPSMp/KR/uS9KRqcKIymwqNCIsD2JocrXpYDGQaczDXjGMH3iLTslGUl5k0eqxFy+3gO/YTybsKvKOveeDW6Y/k7FW47lUV/kh6Hc6IwlGnFAM+hPyYMnYTTQSrZHu6jiwAgSrQvLgLd/K2Hylq8SP1Uqu3WICriYKVDkHiLGgj4zVF+6CZ893P/fQTNISr5XgeBV3rBG3yUsI1qnTtqCZw1VCJl4W4oihjJmm6jIu5LkBbCWhzieQzGhxGcrDiRH43DWVZuV4NywnYd4aJd4JhA0uUgRDgi0GELI2RrUWnxR2bIbhSE7aUSDVceFzfwvEWR1RF+petRTwLhhd83WoJRRUVXrHZHlcFLKRkmZX4aCOaJ+zfDe74zNk0ej8Vjb8B8AuwCzosIqZL4NUVmQugUAqlA6XR+LxUMBGwFcBdxvZ1zJyoltrRb58Jr6RSE8L3boklYNdlJ8d5OkvjaiU5KBYPds8cicc8MVAbMQ6nPVJxNX4nHGrfjjyf88LtD+/Bc82K8d24Xvr66F+8NLsA7hNnPDy/COx2z8W7bLPyhYRp+VeqMpzOc8WzRMjyYsQB3ZyzH5dSluJq1DHfnb8SFuLW4v3g3Hq11x01pW3AydhN6dGvQa9vB+3Mfr+UeDKfsxZWqENzdqMEjXVacz/PDreWheLRdh3tqAnGlyA9nsr0JC9vhsXIm9i6djpWTx8F16WTEea1CR4IrUgM2YAEhfe64Mdg8exJCed4Oj0WoMm1Qqhvc1xuEu1v341LVDtzVuBcPdbnjmcN++O0lDT5+KAl/+kU+3rs/Fc/0eeHdq7F442wEftGxB5/dbcSXD0XjiweN+O7pBEKuGq+f1OLRHhf8Yng3Xj6yBx9cUeGT2yPw2R0G/PhsIj6XxgsnInFHlRqnCywYorHUQaDtphHamSjlpvQ0jrQ4nmdVAFXCi3rTDLxvpL2t1FfleCIYdhEABzhGpKFCB8eBePkGOPYPcYwe4jYPZ5sUr2wTx16pwV9pitBNyO2jAXoiz8Sxa1e8mEWmYCQHuaLcGoIB3ttyz3bFSCODYLRx7AwmBHIsa3Em34zj2UYcSAjh5wgczTJwfPK4OQZ647UcUxE4JE0UMiUUgZDH46mVjH9HCGGcRh/HqXTOyiXEtfJ8JfFtINXAc47kMapRx/Wbk8VDKzVizUrd3O5kHWFfx/9QR/i1KDG8/YTVhiQz4gPdkaZWwRbgCQsN4AIDwZnQ25cVhU5upy8tGq3cTnWUGhUETSUJjdvoTXcooNzKuTvZSmglQFPuSAUEpSVwol4B2GpLGGoIrlJerFQnMKtSAFiWqeT2qgiz5dLhLEqMEQN/DyGoSmUEjmEBWlMg3wfx2vspc7nRnxBPyDcE8H0Qinktigmp5YTkapsOpfwf5PsKfQCNdX4fSfA1BKKKgNyglBULRr7WB3aXzYj12Ixyw34a+VuRE7iZoLoLecE7UBIuoQWUO5Sx1eo9SqJunc6FIOyJQzRMOqN9UEz4LY3cRQDnPfpfAWYHvsebX/4F3/zt/PXfhAz8B9NfQwT+CrN4/XtoCaZX5DHrP4+EExx8/c842/styh+VRLIRwPU/9Vdv7n+wDWX6Ef2jMDs6/V+dvsSDLf9BzOx/6Jn9Di+fKkZK7e344Ge8rt89M4Tioy/jgyeHkCcJYykVOPPK32aT/f8//SzMltPKL1K70AKXR/g+OJgagcFENQHMCyWa/UgP2EfFF6rAUYnWg+BLBUKlUWkOQL7GE7Femyk8PSAtLhsIh9KhppMQ2RkbirbYEDQRiJut/orXt8EksBxMKBYvrFYpRSMZ0P0pRgyK15cA3UQY7kgiwIpX0hFKcKYyTI3EASrQA1TGfVSIBwmzojgH0zRKeEQbwa4/IVRRtJLQ0SGeHSriQS57mJB8OEWHM7lWXCqKwdHMCAwTQg/EBWJIEqOyIqng5ZF/JM4XWXFTiR3ncg04kSUdxSw4X2DEaS5zLFuPg5mEhHSDAtoC/O1Uyv3c13B8BPdhxBDPoYsw3U6ol5aSA1TIQwmikLkMhb7EBzZJEXe1K1oJxP0833Ml0ThX6sCl6lScKUpEJ2G6jkorL9gTlYYgNErdyWQ9hrjusfxYHkMUwd6MMiqxyD1roN+1HIUR7mggZDfL/ySPg7lfmVsJwtIes5HKrIFKq0Lnp4BAS1SIEldZqHKDecca7Js3BWsmjVMgdj4hddG4GzBn7FhMk9AAfhZv7DRC7VR5fx1sxVu7YOI47F00Gb5LJiF23yJEEOY8l0yB/+pp2D13AhY6jVfq0Ert2WlOY7GA2/Vc5IQc73ko8Z+Lcr+puFK4Ds937cKHN4XgN4Pb8XzTYnx+1RMfn96EP3TNx5tNs/BW1wK8UjYNL5VMwVutM/HH5tn8PAt3xU3EBZMTribNx9WUpXigaB0eK9+BmxNW4YHC7XhnOBIXU9bjpGMthq3r0G3cjN5YFwynidfVA+eKfXGhyBePdVtxd60eV6u0irf2VJobTqe54FTSbsRunoUE72WI8VqDsM2LsHfWGFTpt+BgiiuygtdinbNUa5iAZZPHwpvnnaPaSANwPWpjthNwttMoWoWrjR54qN0fD3d649lhf7x0LAifPBg7EkP7QAJePhGAVw55493LZjzTuRe/PuKLbwi7X9wfi6+4zBd323Fb1gbC9w4e31a8ftwXvz8dhA9vU+MP50Lx1aMx+OHpdHx0NQ4P8/il0kYPjZha3kfy9ETqwfal6XksoTiYxvGdwrHGzwKzUtaqTp4oECAPcvxIKMKR/DgczkukgRdOg8eV44z3nxicNCh7Ca0dBF6pIVsknlLKjBKjL7cThGEuM5hjw8H8GPQRQOtsKiWhapDv2wlsFQSuIpUrqiP2ccy6odnirhisMr4lxltixQ8khuIQx9YQwVWOd5CG5mEC7qEsk7J98SR3EqwkNKrJQcNZQoM4zqXslwDngVxCvHhxbd4osHopx9lGCK2RJgfShpafOym/6jiupOKAAGaLxKUm8/j4XaraEylqL9j9dyFL64lGAvEgjeDWGC4nNXLTLOhMiyIkGwmzasJmOKFVwFlPAFVBGiYMSaxtosQXR/IaqAmOnCUJjPuv47LVdi1qorU8Nh33z2WitCiJJIjqglHG5YoMBFcbl7HyPCIDFRgtJ5SWEkjLKBNqLFrU2jTcZhgqzBzjVmk2oVbq81YaJPksBCVmjnfup5RQKzV8paJEeYQfCkK9URYp2writgKQF+HD2RdZYZ5IC3VXjJCcMFckeW2Hw20TUny2Ik/lQiMgRAl3KlftQk2kK0oIuhWafZSBgYqsy1PtQJrPWmT7r/+vAbP/v2Jm//wTnrnyHVL+GjP7r/PfgOh1gFXAVcC283v8ispd8dgqAPs3v1+fRmF2dPqHnD6+HbXxTXjw+hMFZfrdReTFD+HpfwesH1yrRbwkeP0cm373HIYq+PuXfE3pxWPc5k9v34qK4ovXn2L8700/nwBmkzqG4q3zRAcBq51zYfAuZPpuQ6XeA00U8J1xWgJRAEpC96OSln2V3h/lel+U6LyRF+6BMpM/lYE8btNQwAeigTDbm2ZUvD3VVgIU1+1N0FMpRSmZ1v0phFIu20MlMiAdhbisPLrsjgtTPLx10oSAx9FoEe+nGsdyowmDJvRTicrcTlDupcIeTtfgULqsF8rlwhTv7YFME2EyHFXGYAxw/0OJBEoq735Jhsgw4mR6BGFFiyOJIQrMdsf4K8lfJ3MluWskbvdYujRqiMCR1HAuLzM/8/vTxXacKSJQCgjEq7hfleLBFa9tN8+nX+IIeR4C4l2Ey36ezxFC7Ik8K2c7DufY0UNF20qAV+p6RvMYqLSPZBNUqTAPpJgJoBJfJ12TqMDzE3CyOAEdBBIpyD6c7cChvFhIrLJ4eVP8dlHZ7KAx4atkhEuJpeO5CVTOVNLSG54AW6L2RanWF8WcC7Q0UAw+KCDEpnlvQ4zbZoLnQgLZeCyeMBazxhJiCZzz+CoeWPHISszs9HHjFCiVZC/x1E4j9M7g9+unjUfwamdE756PBNcl8F44CQGrpsJ93gRsmuEEZwFgArF4ZyXOdsWkMVCvnUqQXYjIxWPQoV+Ie2q24VfD7vjyjgg8Ub4Uz7Utxxd3eeC9I2vwu7a5hNm5+EWOM+6zT8CjSU54t2MOPuiej9crZuLu+Am4yTQed6cvwFOVm3BvwSpcTlmCi46lOKSfg0up63B73nacT96CQ1Eb0GPahN6Y3bz39uBEtg//U18cTnTB2Wxv9MfsoJJeRxB0wbHUPbillONBuxzZu2egOnQ1KkI2wLJ5NgKWTEQPt9Hj2I1Un+U83xnYu8AZa6Y4wWXpNCQHbIRh92Jot82HcdsMGiULcKXOE53RK3EmbyMe6XLDS8cD8O5VPd65LQJ/uKLDbwnyLx7Yjfeu6vD7Cyr8osMNb55R4/N7E/DebTZ8+6ADd5dsQa95Me6q3I7fnwvHH8+G4J2bgvGbk1748M5w/Ok+I+c4PNoWiUMpoUqJLYmNFfCU0lmdidJ8IAjVZl80EkwGCYZDuTYCt4kwGI4WGj5dvKd7JLSGhuaBdEJbdBhqDVyeUCrwV0sgqrUSigyBI95c3pdSKqvKyjHPe/lYngNnKzLQQyOtm/d1V3IEGvn7SFxoGEEuXHlqUa12p5G1H6VhewlOezlWfSlX3ChjPNFk9ECD3l3x3rZQNnVxfEm4T1WkO6pNXNdCA5jGWI3Ol7KJ8orGrDxV6smQczErscJi2NXw+xaecyfHZGMModMaiSqCZIXRDw02ecxOQzGWx2VVK0ltg6kOVBP6auN1ynJl0Sp0cDxJfG13hhVt8XrKNQKoxNUSPpvjLNwuYZRQ2cDPUqmgggZmrY1gzWWars+1AsxRhEyTisegRqk5TAHWWgfBOt5EQDZzOwRhs3htuSy3WcZlqu0RqLZF8FrLdSe4mlXXKyRIwwg1au06FOp4PW16ylkLQdlE0I/kORkVr28lQVeBXYJwFa9ZlUWFIk2AUtO3zCD/GaGax56r9aPx5YnCSD+kh3oih3CbE+rGZSkrKOMLtN7IDfdEQbg3sgP3EVZ3oSjcXUkAzgrei/SAXTTgXODw3IQ4jw3I9N/x3wBm/4IHjnyL0IHv8cDvfvpXj+3/DKLXPa9nf8Svbvub+Nk/fI+o5u/w2B8kXva65/b6NAqzo9M/5PRv4l+vTwrM/tvvvnxmCJkE2af/Fnr/zSRVD4ox9AxJV7b5rwlkf5sg9r83/SzMtsnj/5gAJZa1zeKNRr2n0hFGYjy7CYNSp1LCC6TVYhOVTiuVgHj8qk0BCrTWUkHl07IvM1M5xEWinoqjmsqmilBbweUrjARTUQwE10NZNiXzuYuAKp5YAdn+LCPaqXgbqQybqYRaqbwapSUjYbYzVmJlNehLN1JJSZtJo+I56iaYtlAxdzoItSkE1mwD2rjsQIoOB7jNVipr6bcu3txD3H5/mg5DnM8UROHGXDPOSKwe59NZBpzN5XvC5tlcC05lWxX4lZjDwWQ1lXkgBrifAXswpGXu8RwHQdaCFlMgqiKkfm0QAZZKK0ZFZeOPCr2PEs8m++8Vjw6V+QGe23A6gZ1w2hMfye9MOJwZrXhXJSxDWm62x0vpIsk4D0A1FUirhEhkWnCyPA3nylOUzPMaq3RvsnJZHSFCg3oCvcBFHZVnLcFVal1KYfqRZSUOksBhk17wKpREBqBYF6AUvZdyR5khLojz3IaANYuwZZYzlk0aiwVOI1UHZo0nqBJmnQmsEhc7bexIfVkJKZBZSmyJx1ZqyLovnQTbrjlIdF0A07bZCFwxBf4rp2Lr1HGYN44Qe4OU8xqr1Kadyc+bp42DZctMlPgtRtLmSTiZtA6PNu3G70744ZNLwXgodwFe7lqDr253w9uDy/Fy5Uw8m09otUzEg7GT8Xz+NHzQNw+fDCzA7+vn4IGkKbgtejIeylmEx0rX4bbkJbjZMQ93ZK7GCct8nLQtwF0F23Fn4R6cituANvUqtBs34WDyHtxaFc7/PQjDMXtwJtsLQ47t6IneghNJe3B7qQ8ebA7FsaRd6DRsQG3IahT7LoNh7RSkeS1Fsssi2HYvgIZwG7h+PtxWzMHq6VOwc8lM7Fk2C9vmO8Nt0TQELHdGmWYNAW4N0tymYtCxAne3uOCXh/zxZJ8bHunYiWcPeSmVHH5z0g9vX9LiM4LrK8OBeHHIh7IgCh9eicZnd9nxbL8fWsPn40r+dvz6aAg+uRqFt84G4dXhvfjwDhW+ftSET+7U45kBPW4sjMBh3ue9SQQd3hfdvOckiaudBl+Z0ZtjlQYsx1q9PRR9mRI/SqDlmG2VpyIcU61ctkfiQ+2ESKlxyrFcy/upWqoVxBHqYiJQw3utnve91GiVGrPN8jQiLpjgSdAiMEvsfXNsiAJJuZQPTZQL3YTfBgJfPe9DeXSeHeSGeL/dqHOE8Z7l/akl5FL+lGkl7pPwymNtj5MqACH8zY3jyxtNBE+JhW2h7GlxBHP8h6MtIRTN/K41MULxRLdz7DXx93rO1VK7NpJjkzDYFE85kaBDL8dsG8ecEi8sTyw47qSxgtS+reS5VhNMW6SFbVYcmhMIrzzHCi6Xq/VBcogbyvh7e6qVx6IjFBOeOUu8awXPq5xysEDnx9lfAUoJK5DrJbGxArOVBF9p+VtOKC03hSue2QYCbLVZjRJdCCq5rQrZpsPI3/QoM4Xx+AORR6O0UsIPCKrijS3WBaHEGKIAqcTjVpk51i0SA81tWfi/cT1JMpNY2zqCrHQsk05kShgDfyvjvit4POUC2UbpkBbKa8HfCL55YR4o1HgTfH2Rx3PODHVHrsoTeSHuKOFn6fqWF+aNrND9SOb/lxG8D2lBezi7ULa4/teH2a9/RO3/BJf/gjev/DvPLKc/P0047fwOWb3fov/Fv8bBjnhks4b527/bzyjMjk7/mNPbuFgcj4pzr18PM/gAj/VnIr7lQfyVW797niCbWIvb37v+xX80vXc7avsfg+K0/ef/4ZnFe/8HPLPNJl90Uon1xoUTWAmoOgItv5OEJPEySiJJh3ggCU/dUUHoJjT2EaaabFJahlBHJZcbvh/Zqv1UBiGoiRLB6E9BGkSIDUUnlUuHg8LeIoqSsMW5Jy5Mqa16uoRwSMCsp/IRT6OUBOonuLYTBpUqCsl6dFCRtPD3CpMfBbO/8rj0YK4VnQQ+2X49j6M/04ChLLOybg8BcpDweCg7igApPem1kNacApQnud4hLnswXYcLxbE4mk7Fn2PBpeIEwqwDhwnupwpicDzfjsN50QRVPbp5TJ1WKjcqusEUhxIGUCMJFRHe6JFHs/mxaKTCK+d1KFB7oJgKucEWSHg24FRRLM9Vo8QYS03P1mi5lgZ0JRj5mUqahoGAsJQzEuVbaRBFSuUTq0Yjfx/IseFITgy6UqKohE38LyyEEx5TCreRoscBQnFHihGthBYp5F5m8Ee5IYDw6oNyvT8a7bLdCCq/EORToWeGeyI50AW2/ZsRvm0F9i2chXUzpmARQXYeQXY25xmcp91wA2YSZqf/jWdV5ukEU+kCNpO/75jlhMCVk5HosQjRBFqvBeMQtn469s2fgJUTxyle2Ylc14nbkSoIc7iPnXOcYNw4BVluM1DsNROXi7bi8cbteOt0AN455Y4nShfjla7V+PTCDrzWOAdXreNwm3o8bgkbi2eyZ+DVspn4/Mg8fHlsMd5unY+7oifiVvt0PFG0Go8UrsXF6Lm4lrwUd2WuxF35a3EwYjLuK96KO3K34Vr+XgxHbUJdyHK069fhSlUY7q5W46Z8D/7/njiZuRu3FHvhaqkfLmS64BSBtz9qK7qtW1GpWoMMt0WI2ToTdbqNSHdbiJ0zx2LH/ElY6TwBa+ZMwdJpk7Fv2Xzs4jVdP8MJexY4I3zTPOQGr0B5+HJUqxbiTM5m3Fm/G7dXbMb99Tvw4mFfvH46FE/1eODNGzX4/RkdPrwWi7dvsuO1I8H49fEgfHafA2+f1+GNM5E4aFmNq/k78EyrCz6/IxqfXInEb4964g/nA/D1YxYlbvalwxZcLNVjOJP3Bw2mDiVj38R7jGM2Nphgsgd5EV5K6aw8jTvqaURKuIFUE5D49n7CoQCpJF918N5tjglTyle1EjgFFHtSLQStSJTwfpdEL+kWJuWjJAa3ISpQAchajvUmwnE7DdBKgleBliCm86F8CUQTf6snZDUQBOtiNMiNDEKFwB7v1VICoEBvJw2yYkJwNsFROm4JaEnIQhEhUbqDlXMsytOgIq03ZY4vx0sgWmg0NsdTXqWaMZhm4xgxKY/dxSNZrPNFCceDVBQYyonm2I5RZE0Zt1PL/UljhgIeXxnBPY+yTLYrXtiu9Ghen3A08dylakG8z16OnW0o5vF3ZseiLcXMsa4h/NOATtDzuvKYuW4Wx1khx1sljckq8fwSoptphNbHRKLGTvkhoQY852qCbK2NYB5PYyLOhLooHferp2GqJyhL6TMBVxW3FcBZOplFcDm9ArQCyqUGXjteX4l/LTMQhAViuY6AbLUkkHG5ekKzQG2VkcuJZ5dyQtYt43ZLTYRhKwGZn6XRQyPhuZIGS5U5TAm/kIYQZcYgZIe6IS3AhbLNBzkqyjhdIGHXD/kE3sxgN0XuFdFYLogIQD7l4n99z+xPuLmPy3SPVByQZgpXzo9UN/ifQPTLH1Au37d+h8d+uP4dJ/HUSlhC1O1/jZYdmUZhdnT6h53+l00TpFrB/0gO+zfz8M/7W7/8PxkzK4lKrdFBOJhsRIstRImtlLjKjKC9FFZuFLTymEy6d/mj3xGEQcJoE4V+mZpWOgG0JIKCTOWCUirIVkfE9SLpBMDESCpHzvwsSVjilWklEI/E0AYQZk04XRyjxJ4WGzwR57GZQtQHw9kmAqcRAwlqdIh3hUpTWl+W6LyQr3ZDI7chHY2kFaR4m2qokNoJsN1pJiodreIhGSKUHs1LpDIeqdUocy8V67FMm+KpaqZyOiAxgATjVp5PJ5VzNwGzN8nMYyYQpxnRn2vDMGd51Npu5zlT6ItiEC9Ue6LUnaRC436la5DEqEk8oNTFbLJLTLAGhwnXx7h+H/fbz2MbJvT2pdkxkOmg8iek83pIIspABvfL1z7xgGdxf+lWtCQaFWBo5rqtimdIygBpCBkCJWalPmhngoHnkIDGJCNhIFzxirfwfKtMwUqsrbTybKbC7Em1Kt6YzHBvxPrshmb7Ghj3bSTMrsL+ZXOwZe50LBw3FnPGjsEMAVjOswmfs8ULSyCV0AIJMZjJz3PHjcecceOwfNJ4uC+YCN3G6bDumAXtJkLsnDEIXTsVayeOwQIBXi4rXcH+2mBh0ZTx2DR9DMwbJ6LYdxaa1HNxKXcNHq5Zj9eH9uKl7q14tHg+QdYFn9y4HQ+nTkGf6w24yzoe99sn4BdZznilfBq+ObcEX51Ygrea5uGqeQKOqibijsRFeDR/NR7OWoGHclbh3swVeLxyCy4lzMejlVtxT9EO3F64B3dXBaErci26jZsIrWG4rcgPR2K24HjSZpzN3o0TqbtwJGUvCrzmocB9HiqCV6I3xh0xO2Yi13c571Xp1LQV2rWTlfq562aMx+Kp47F8xkTsWjoH+5bOgPequXBb5KyAu3rzLKT4LECHbQ2G4tfizro9uJPHc2v+Ojzd44o3zobgt2dVeOWwP147FoK3L+jx/k1mQq0Ff7gQidcOeeGPlwz44EoMXjuuwW35u3FX+S48UrMdH1zS4dNrBrx1LhivHvTB5w/G46vHc/DKERsNMy0O53Ic5dGgo0Ek2fMdyQYl5j1b5YkygR6BGoKldOOSGNNOjtMOB41RowcqJH7e6of2OCnrJWNZkiR5L/Ker6MBKfdTFeFSEpd6OF66OdbbOI7EgytPazqT+Nmu4jgP4fcSr0nDlzKjngBaqQ9QvIfl5nBkq31RZA1XoE+qAnTz/u4liLYnmiEJTLnhHigkILbE6NEeb1QAMc8UiBLx7JqkPrYvZx/ClBchTWJow5SwicFMKw7k2LkdHY+RsEljOD+M0BulxcGsaBzIikEZwbiY26nlGCkn8EoMqSRYifeykmOogbKljuOqlvKknbJB4DtH44+kQFfkEtqkokFPqo1jN4bna0MzAbxIT8CnfBBIlHa7I2N4JLlLvKV1NGZreAySNFangC2/t8qTFqvSaayBMNkiiWrcdiOhVdr1KuBqoazjMchv9bwWEpbQxFngVby15Tz2Es6lhlCUEmIL1bw2Oim5plXKjlVTdsg2yvRSF5dwK8fB3xTPMf9HgVaJ6a0wqpEV4svrTB0gbXz5v9RQ7qUG7ECS3xbkqbyREuBKYPXjsiEE6CAk++5FkvcuZIV587+SNsfB/w1gltMnP+Lgof9RBzbr/I944UEBUalEcH0ZZbq+vb9J8lImJTlMEsKuf74+jcLs6DQ6/e9NPwuzGQHbaFG7UQh6K17FjEAKJ7/dMO5dCx3nXCrASpMPlbgXhlPVOJ1mwJFUCl17CMEuRHk8Xqn3UR5DitJopFLplsxpKpWuOHmsKLVZw3E0V+BRlF4oehKpbPPsOEiFK73Bs0L3INFbEsnc0JeqoRK2cB0qTrM/6qzcbiwVJ7ch4NkRr0EfAVLqLop3RWLyKsSbSYUtjyC7Uo2ETAuVo5HKa6STkfRFl1g28VJJS0vpJCSPKrtTqBQIt20EwXYqq770KO6Hil2ynFMlq5qvBHKpudmXGY1aLitF5FuovFukdz2XEQ9OG+GzP0NCAAQyNUr3JQmnOJxjUTzBxwpjcDAvlqAei+NFKTiWH4dTpXH8PhYnOEsXpg5R5BmEbW5LFFAVlV4bQbUz1UxFKccsmdORVF6Sfc5jltabCVRoEs/IY5b4PIlNrLES/KlUyw28JuKZodKssIQqPeTTVR5IpDJKDXVH+OYV8F+zCNvnzcB8guqM69Ap8bBzx47AqyR6TeZnSfySMl0SOrBg/FhsneEEv2VTYNo2E5GbnKFaMwnBKyfDdeFEgqx4eMcrsbUCsgoIE24XT3bCVucxSNrljIbwBagJmITbspfhyaaNeLpxHZ7r2IDnG1fh81v249cdq3Czbhxu1Y3HEylT8VC0E55OnIR3Oufi+5uX4YtTy/FR3zJcNk5Ev+cYnFBPwbWY2XgibzVebSTsFa7Eo6VrcDV1MZ5p2INHKgiBRbtxtcgT7ZGrMRizA+ey/XEyaS/OZrjgUMwmDMWsR0vESsRvm4D0vTOQtm8uigJXI9tnBUpD1imJYwMp7kgLXAGXuePgttQZ65ydsJKQ7rJyDoI2LMK++ZOg3jIPviunYcv0sfBZPgGJHrNQZ1yCTssiHEtZjsvFG3AxdyVur9yEJ3td8eyQF57n/FyfJ14/EYp3bjbizdM6/P6cBm+e8ceHd+jxyX0OPNPth3sIss90euKZNle8eTIEH1/R4+Pbjfhlxx68d5uBMJuGN85H44HOBAzy3j2cH41TVSmEJRPvHT26eD81E0A7M2LQkR7NMU/gknuJRpCU7OpJCEebjRAbE4JmexDHTwBBVpooBCljUIzCJo6p7hQzx4Odr1b0pUjYTyQGUk0c31KLlUYr5YAYtm0EQ0nwbFa8tkGopRFbSYCUZKkyAmShPoT3ojeyNN4oMtMAiyFUET5rOKaKDIFIDXFBeognoSsE9TRU5T6XcSEQVk4wq4jk9ozisQ1BAY3JMpEXPNZ2jkHlyQyNSKUBDOVCGw3IAY6vw7mUO4RZ8RrLExBJpJIkrTqJVed+Jd61MUbeE2RplCueWTu3we9lPJYTCgsJjpJw1RjLc+S1lWYHpTzeTJU7io0BSihPcuAWrksZkWTlOORySWJsSztcygzOtddb4zZJ7Cz/GwHtahtlGOVAT1Ys2gjKjfyvmjhLHGxbQhTfE/JpBAjESthRtVwLYygqeC3kuzyJidUFIVfjS5nupySS5fG3Ql6jErlO/FzHcxH5onhnBUjF+CW0FksZL55Xdpisx+W5nsTpi8Hdy/+4OZbHTQiWUIvMMC8U0bAoivClrtgL790zkRzsoXjB23kv/GPD7Og0Oo1O/5Wn/2XMbItUDCB0yWuNyQ+FFMoCtVmhrhTQLsjXuFBoeqEng4JNHuMTVruoDNriJas2EIOSqc9ZmilIV6AaWwAFfBjBM5JAS4FO5SDeyoE0Hfch5bM0Sma/lPqRJgJtVKI9qdqRZgKFVgwRcgUI+1IJnPx9gPs9UhiFMxWJOFYwAoASUtBGOG2kkquiQmqO11NpRSiKKEctSWQRkBaSjVRGDXYqPx5XFeG7lgqsJdmA3kwrOgiqAsMShzqcFY3jhfE4WRhHCI3ifmS2KW0+pc+79KDv4jrtBGApDN+XbUcnXxu5PfF69VFRSnjDwVwbwVaOnyCbZRuJ21W2x2PPT8JJwuyFqjTc0pCBc9UpuFidpIQq9KQLGJgJ35EoNRFced0kJq+R17BVvOYEVwHdViq77kwb/wsrFaSOynCknWYrFWULZ/EiidJskpJBXF4eS8ojyAoq4WIqqBy1LwHBg8rWFZE71mHbnOmKJ1bKbgl4yutsgqt4aQVi5Tt5P5dwK95biZXdN28CAgivhq0zEbJqovLqu3QK1k0dD2mQMG3cOMzkLJ5dJcaW7+cSgsWbW+I7F81h89AUOh33lq3DCz3b8UTdKrzavRlv9m3BJ6d34dnyhTinHoeXSufhieRJeCJ+PF4vnooP++bg24ur8N3Nm/FW8yKcCboBZ9ROuFE9EXc6ZuOXlevxYt1WvNS8E881bMV9eavwSNlmPF6zB3eX7sKVIncMO7ah07wJHZZtaNGvx5HknTiT44LhxG3I81mA5O0SArEYBT7Lke+3EgWBq9Bh3ol26y5E754L3zWTsZ6g6rZmJvavnAHXZdMQtH4O3OdNhveCSbDtnA/rttnYP98JQSvGI9VjBtddhgOxy3Aucw0ebtmD54bc8XjXXjwz6I7XTgTh2X4PvH4sEL85HYZ3L1vx9i02/OFmLd4854dP7ojEFw8n4EruTjzdtR9vHPHDmwf98M6ZILx3kwof3GHAU+278fKwJz6934Hnj0bgXJlWGWPSaesADae2RKsCPs000qo5Hopp3LSmRtE443ilkSRxqUr9aI7NZlsQIVTGDO9Bwmgf7+EOMR6jwtDKdftSjEoXr4GcWAW0aqMFAOUJiFqpYtItFUhodEr2fBs/S7JWRzwhmZArSWPNhOeuZAKexInG6FFk0iAuyBtpugBkmYORrfdFBY9Jyl5JTKi0iC0xEsokRpRjukQ8nPKInjBZLI/yuVyFdeSReRXXKzH4oZbHPlwQj0GCazehvoOGZz/HVzevRz2PR/HW0jBtonyokk5cBMImyohGyqwejm+JOW+QECku30JgHSC09yRaKCsilWMRcEvhXEMAlsS2BgJiic5PyR3ICvPgsUgYBGHYrlfgtUUMVcoX8bg2x1s5pqMI81rCrg6dhF2Jhe/kNRGDo5bXpTXZhqYEsxIPWy9jOc7EfelQppcksDAa1GLAi0d7JFa21qym8UoZx9cinkuJKZQwG6iAbSYBNyciSPmcp5W4eRWK+bsAbQnhtlCJveU6nEU+FHMfOeoA5Kr9kRfmibJIH6UF8OnKTJwuz1AMdzE0ssN9kBG8H+lB+7ltCXGgsSHxuDSaR2F2dBqdRqe/1/SzMHs6x4iLlbG4VJuIi1VxOFccjcME2yN5JgoxExWgirDoi3KTN+piacVHByE/0pMKhVCaZkQnobadQCcxd+I5Ldb7IDfcjUJ9v+IN7U814SDhSx5j9tBql1g66TIm9V7FY3myOBYnSwiRpXG4sZTvy+LQn21Ral72EGYFcntS1TiQy2MqisEwFVR/qnHkd8Jkh9S4pKIYyiFcJhLs5PGgNUx5fNpGxVljDEC3JIcQmKvtUvKGSpYK+RCVXV+mhQqGCotQ2MnXo/kOnCLMnuJ+zlUmoJcg2sF9DOdLT3fuI8+BLoJ8H89byg1JG9BegnaXhFPwPA9nWxVAH+Z8pDAaR/NGAFeuwVBmPA5kxKOfiupkUQLPNxFHi3nOFclcNg6DWXZCs5XHaUQHledgbjy60qjUCNrNSQYqEQMVnhmdBF5pzamEI/C4JUNcsrVFMTcTYDupODu4nHjN5JGtxNm2E/Q7kkwKBEiMnSSl5Gh8EbJxJZZPmoDp172w4pmVMAMpyyXfCYzK51n8LLGyArUbZjjBc8lUhK+ficiN0xFGuDPvmoOdcyZi0UQnJWFszgQnzBzvxPVHEsAmjxuL2YTc4OVTUO4/F42q2ejXz8GD1evxUu82PFK1lDC7Du8Mb8YbHSvxaO5s3JMwDa+UzyLMOuG57PH4Y9NUvN3hjC9uXImvz2/CC7nTcM04AY9kzsV9aXPwWPEyPF21Hq817sBve/bj1fadeKhkFe7IXIYHy7bgnrLtOJ20HocTNqPFsBZlIctQFb4GrcYNuK08HIdT3VEZvAZFHstQ4b8CFUErkee1AH327bhURONIuwmBq6dj89wJWDZ1HHavnI59BNldBPTNhNstE29A8JJJSNq5EHE75kK1ehp0W5yRzfPtjVmDk+nrcVfNXjw94IPXzoTgN7dE4O27bXj3TjN+ey4Mb92sx1sCsncn4p0HM/HBY8n49HEH3ufvXz2dicsZ+/Bcvzs+vlWFT29W4f3TXnjvvD8+uj0Cz/a44JnO3fjozig8e1jL+yucxqN49vXozY5RPHuVBI16GkYSklIi7xOl9qoFrbwvemlY9qVJbVYJoyHEEgarCHTi9e/Ljsax4hQcK0lEF++3Lhpu7TSuGnhPVURpRp4iECbl6UVPkga9cVJKTs37Tq3UbpbQhBYJL7KHKrDYxnt0IN2utKNt4b1Z5zChVGJFUywoJRxmaX2V+7RZEqCi9dy2VonvzBJDzBiOfKnbmmBAGeE6Qe2HYgKcHEOxnoZ4dCQhy5fgG4AGbruJ47xDupJx/HVz/NSbQ1Ci8VZCoupocDcT3msMXNYSRABXod7qTzmlQQtnCaeQpy9SsaCHoNkWa0JhBGGPMJhNAMyJDCJQSzzqSHJVqYA1AVuqA0g5rOYkG6+/nYBKo5vH0psWQ0NUjOFo/mZHlRJSYOP1jFK8nk0OgjYNz2qO45roCMV7K3BbR5iVUl7lVjX3z/vQHqGU9JKKBxIqUBcVoXhpqwiTEi8rISTyv1TyWlaLsSLluWgQFBJo8wioBYR3qaggoRWyDbluhVqpX8v3uhACs8TiStiFCgVaf+SEeykhJdJo4lCuyMBEHrtAc7AyF3PbjTyv3sw4Ra7kc/lRmB2dRqfR6e81/SzMnsrVE+CMOFtMuMyIwI35ZtxSasOFEituqorHjcUWnC6KwrF8K04Vx1AABiFs8zIKRg8MZYvH0UElJrVR/VApmc8EVckGLjMGQnqPd1EhiEek2aFGh5JtLIkmWsWzKiED/Sk6HCc8HsyV2owSFiBeSSoULltpki43nigK2wupYyveHalxK8llLdxOD5WwzEfy7ZwJl2nijaSwp0KuNgVBakqWE67bpCYlQVbKh0nXn4H8KEJkFgVzguJhbSMQ18dpFQ+sxOlK7doDXEaW7yBM9xGuB3LkMxU/lz2YbeNyeqXr0anyeKWg+wGC7SDhdzjbSEi343RZAo7yuh3IMaE/00RIFViQ9QgEUq+SYNDDcx/MoqJLIXRQ4XYRLNq5jwO5CTiUl6SEPTRIHGy0ZDdHoDfdgn7CfI+AL4+7hzAuHYXkuAYz7NyWA/18bePnHoJsXzpnwm8Xl+mlYpf4P3kMmq/xQYzvXuxZMg+zxo1T6sgKyCoe2HESGzuS7CVlueYQTqV6gTQ+mOdEaJs1Ab4rpkOzcTYCVkyAdrMzAlZNwlqlbe04QjHBdfx4pQKCE987EYgFaMX7ayT8VgTOQa9xIU7FLcUjTVvwdMsG3FM4Dy93r8QrLYvxYKYzrkRPwh2cf5E7Gc/mTMKrZRPxhyYnfNDjjM+PLcL7g4vwWNx4/KZxFX7XuQUvNW/AL+vW463DQXhrwBfP1W3Bc/Wb8WLrLjxctgb35K/Ew5VbcDpuOY4nb0SVaj7azOvQHb0dxzO9cLlYjbMZwWgM24oy39Xo0K5HW8QadJnW4N76QByI3QbL1pnYPXcytsyZjG2LnbF7CeeFU7Fx5gSsmXSD4pXN8F6GONdV8FoxDcGrZyKDUFxrWIEzebvwYKsPnugKxnOHNXj9JjM+fSYP37xSij89kYLPH3TgiwcT8fmT+fjq1234+o/D+Ox33fjTbxrw8aPp+PZX5Xiozg1PNmzGR5eC8PllNT45H4i3T7jjo6sqvHHKj4YBjQHC8LOHDTiRJy1Rg9AqTyByOD6zYtGRSbCikVPJe6EqgdAUJ08X0nivZtNYcyghCYNS1UDufxqdMia6eJ8dKk3BEYKshN1IaI54OTvTzCi3EXoIkTWEL6lYUMnx1pmkpaFKcI0J4T1ImE3VoJEwKxUUGqX+NA3M3lQ7jSsD730CIueWJCuPg2MoLxllhNgcQqE88pcGBC1xRm5Lx21ZeLwGVMdbUEPIlZhT8VhmE7wydAQokwalNh3hTo8cbSCSwn0Qzzk90he5Gg8uG4GBzGj0J5lp3AYR1CQhzJuQFqDkB1QZfVBj80d68G5khbgoyZw1lB0N8ZQlDhrgSRIza0CJMYwgx33Hm9EkxgCPrUwfqDwNKuf5i0c2I8wL2TyHRhqVSvwrQa+VRoOEHNRRZjTyuyZ+bkmwo5kw20SYl9Je1TYp1xWJujidUnVBvLk1NspAG2Gexrl4W/N0gVxOviO8EpyrTCGoJ9w28poo24/i+jH8f/lbA/9jiQcW767Uti2nIVBuUvMYR0KYFK83t1nK7/PCuO3wQJQQdCsMoVyW8tMWyWukorwIRa7ah9DrS6MojNdeOrEFKnGz5TSKSgmwDYqhzP3y/CVufxRmR6fRaXT6e00/C7PHCoxotHqiPzEYw0lSlzUcRwi1xwhhZ4ujcSQ1EmcLzLhSl8A5hRa4Beody5Gv9SZw2dFBCGyyBaIy0ptC0A/V9lAK0XA0EUglDOGAPJqP19Pq96MQDSWsRaIzhbMkbRHiWih4hzKsGCJIyqPKGoJwo8S4JUQq3g7xnNSaAinwA1BnI8TGSXUDbl8eYXI/9VESyxfKbRCaM4wU9KGKZ6VCE6B4JiWZq51KtlDjTqFOwct91Mm6hEl5nFkTK56eSCquERCWkj15VG7FkpFNAO+iEm9J1CnhCa08n0GCqxxvHxXs4bxYHC2Mx0C6WUkm6+a5NfO85dG/eIy70w1Kglcbz7c+QYtmQqZkW4sXq4vw2iPeMB6bxNoqGeWEjZ60KHSnRSvgK8uVET5Lo6mACA1dBFNZvz5ayuwQsnltJfGtPdGgeF670+yEAxPKrTwvAoF0XyqnslY6BvG/SQnehxj/XYjcvR67F83F4kkTlXqyEk4gs5TmmjeeMEuIlXADaZCgQC2BV2rOLpowFuunjsWe+RPgvXwKglZPQuTmaUpXr0VSm5bQKwA8V1l+LMYSZicSap05LyIMR++cjRrVIvSbluDmjHV46aAP7iVs3l+yCG8c3IiHc6fjJvN4nAkfgzujJ+Odtll4LscZv66Zji9PLMR351bi8+Mr8FqlM57NnYI/nXfDj3eE4f1TXni5fTPe7N2Ld48G4fHyZXi8ciWeJSz/smErHihag0cqtuCByp047liJoZi1GHBsxqUKqVCxB+22rajTrEeh+2K0Rm5Bl3YDuvTrcK3KGyeS1iLJdSYCVzlj5wJnbJk9EaumjcO2eZOxi593zJ0O044FSNi3WJl3LZlNw2AMti2YgeyQDeiO2YInB3R47UwsfnE4Cs+eTsJr91bhw1d78emrHfjkhUZ89WwdvnimAZ+9NESQvYAv3r4NX39wBd++dw5fv9aG737fhg8vW/Bi126lHu8PD9vwxeUwfHyzDz65HIgPblXhyead+O05A54eMuBwhowZX6VsXm0cIUe8+hyrjRk21IhXNd2KOoLUYFEG+nKTCL0mHCmKxYliBw5kWXlvWpSEJgGiLgkz4L0tpe4qCXmNDg26CLOtvL/LbSolVCFf74dM1X5khrohh6/FEQKLAagySyynPAXwI9wZCTyENoKfVBCQEJqhnATUJ0YRnClHeO/WSwY/oUj2LXMH7/VWAl47j6c7O47LWghThOp4GsJpVtQmGFFCmKtwENIJc0WRgSgirGbq/BET6gF70H7k6IN5/mZ0ZnBcpRDWCVuSLFag80WBxPpTFjTRMC6lbIkP2A2L+1Y4fPcgPdwdlZQr1Zwrec4VDsoQwmN2uD+y1BKfS6ObkCghBtIsocYu3mFCHvct4NvEY6yL1nEZA+WGlb/zODmXWDQ0APh/pKbw/zHwe4FX00h8bLKVcoIQrIQlxKAjWeJkTYq3VqmRa5VmDyONF9q4jCR/SeKWLFPPbVXqaDwQ9CUuWmmhGxtJecrjs0o9YDFmuX+DhBnQEDGHKrH0EqpQZqCsILhKOJKU6pLKCQWRoSjUh6KVIC/QW2YOUeRkS+xIzetSYzCSAjxRyHVqHSPgXGOV9snaUZgdnUan0envNv0szHbEEyBNngRFPyW8QGqfNhGApIXqjYVxSueqfmm9mqHD0VwTOlJ0VAQBhNZw9GdT2FL5NNmknmEQqgiyNQTAago8icWrI0w12gmfFMaS/SpxcM0EQ2mu0J1hUmCsl4pUvIedBN4eglgXga6TSqefvx2mgj1V7kAvobDB4jfi8SEU9lPBDonSTZAYXDWauX+pGNDO9cqpxEcSUqQskZ7wbVNmiTPrEm8QlaSUFCrS+yIj1B35kb4KADcQ/qR8UVsClY2NQl3qYUaJ52OkFFCVJKdIiERSBJUpBbdRRaCO5GdCMIFUynRJgfpWHn+jJEtQSUkWeXcSlQqvidSBNOfNqQAA//RJREFUbeL5SexrCwW+xN5K1rfUz5UWorJv+b6DsFHH61dLyG+Pk1hY8bzwlcqrL8XO85TM50jl0Z883q2JGqmBKQkyzVSg0jlI4mKlRaVkg+dHePGzB+IJsWlU0JH7NsFn7RKsmzlNCR8Qr6yEGEwfN0YpzSWNE2YRPKcoM39T5pGwA4mXXe88FttmjYfbkskIXjMF4RumYeP0sUpMrNSSncntzearVEEYx/UmE2QlAWwTATB25ywU+85RYPa+yl14ZSgAF+MX4KmG1XixZSWuOabgSNA4nNGMxzM50/BiIaE1Yyo+PrQE39y4Cl+cXoN3+hbg1TJnvNG8FD/cHY4/P2jBZxd88FrXBjxZugRv9O3D64S+F5q2ct6GX9Ztw9M1O/BI6XbcX7wTdxXuxaGYdeiyrcfJbE8cSnFBacgyxG2fhrRdM1AXvBQ92hW4WuKJ+xv8URkyGz6Lx2DPvAnYPmsi/FZMxebZ47FqyhisdR6PnfOdYdsuyWLrELdvmdLedwyv59ypE2FwX4NDhcF44EAcztXrcLBCgwP1dtxytAx3n6vAYxcr8dQ5vu9Nw/NXmvDsPd14/cmj+P2zZ/H+S+fw7jOD+PT5fnz12mF8cIcDvz2yH59dVuHLOy344poGX9+rwZd3qfHV/Ua8etAXb9xkwzME5jOlEThcKF5BCQMIJeBxHNLQas+kwSNhOkUOtPI+6smOUe6ZmihpGW3AcJZJSZoSr359LKGT92Erx1R3hgU96bJcqHLftaXII3wrKjjuquxaZBJWk1WeiCfIlth5T/K+r5dH0VpfpXyUeBeLzREoMATyN7XytKHCJsfGMcBj6M+NQ1cGj4UgJ+WqaiSEITYC9QSpKjHkODYrCWkSOiChB5LI1ZMehZ6ceDQIeKfY0MRxLYBczW1nGwORStiK1/gSaN1RSrAr5niq5XEJ5Elr2RpCdQnlXKFUWCCop4d7IiHEAxbvPQjbsRlWj50oMNGQ5JjPlnqren8eP+UGYTBTyfiXOr1SVUCnXD8Zf+UExHJrGI1LO89NQwOehj2PVwBc4mPrCbEyi4e23mHi8UQqdWereM5V0Rzn4u2VGNt4M2WWg7LAPlL7ldus5vrlFsqUWCP3K80RuI0YqXhA45/vm7m99jgLZQP/L16PntQodBH+uxLM/N6MvvQYBXrztcHKsYunt4RwLs0ZGmV74lm1hSMn3I8gG4KCCP5OmBVgLuN5lVJ2S+hCK6+vJM2WmyTeVpLHNLwmEqMbwOPRKHJ0FGZHp9FpdPp7TT8LsyUUQjXmQOXxu8R/SZ3BeiqsagJfT6pRCQOQRKwOKsYOaRWbpIfUh2wjgMnvknTUGk2BzG2UC8ASzuqpiKSneI1J2hx6oM4iCRURivUuSkc8M+Lx7OK25XH7QDohk4pISk8dyo/DgdxYnChLwcX6LBwvjqUg1ilVEJo4S6H29mS9kpV8Ij+WStiIJgpQKSHTxH1XSbOFlEgMpVlQSAUV77cL+eGuBGg1FbOBwjtsxJNC0C7WByhZvaJwqy3SOjYUUkuzmYAshdrlOigF06nEy6mk8wi+0iVIvEWSdFFEgS+xZ+VGqevqQSXhQ8UYTmCVHu1Uvtxea2yYksEt2c6thACJUWykQpBi7A1ctpOweyAritBLZcd9VPJaCVyLMdDE61xvCeOrlNiyEdJN6KRSl/i/Tp63VDiQ2EZpliDVDcQ7KzGJAhIVNDjKdb7KY1R5dJoWvAcpoW4I2bgcu+fNxMLx4zFjjIQFSLWBMVjoNA7zCbRzFCAd8bBKRYLJnAVopfbs0onjCK4TsHbqGLgsmITAlVMQsHoaVhPqZo8bh3lOIwlgAr5SyWA81xXP7Ax+dpnrhGSXOSjwnolh+1I8WL0DT7e54pakBfhl82rckz4Pl+0zcdB/Am4xTsCjCZPwdPpUvFjkjM9PLMGnB5figwNL8G7fYvyxexk+uXEfvrkjHH+6NQRfXfbHG4Mb8ETRXPy6dTP+OLgf7x4Lwmvdbni+xQVPVO7EU1VuuL9gHx6r9cFtBNoDsRvQS6A9kbQbJ5L3oE27CgOWjThoXY++iKW4r9oP53PcUOi/GNt4vvvnT0DommlQcd46dyJWThmLdfzej+dv3TlDKd0V47JaAfobeO5jec5zp09GZNBWWMN2Y/PyWVi2cDqWLZqDrav4H6xZDI8NS6DesQL1qYSCRDUSIml4CDCmWtFMwKtN1aG/1IpHThQQZhPw3k1+eP+sKz662Q+fXQnBtw9p8f2DkfjxqVi8eSoYvzprwiP9Rpws1eFkBcdRXhQkcVFKL5VbAgg9KhwrT8aximSlzmwzjTKpDV1rDaTxF4HeRH7He09Kv0nMaFeGFQMciwKy0lhBvLRSH7U1zY7mNBqyNMwqCcq1vE8rCJ15HIPtWdHozY2n0WunnJAOZLwnE600Gkegp54GoBh0kslfF03jmFDaS5DtI7z1pscqnsp8UxhSCFXpah/EB7koEFzAcVBJ0KsnuEklhQauLwlkHTwOSUITA09kWAPlUZXAMoG4jPuKcN0Os+9eJFAOZWt8OF7CCH5axXNcZPBHLsdstsobMfs5PsL4nuAWFeiOpDCOHY6loshgxHjtQkKQGzKklJh4Q6O4bbOWx29QWstWmMOUkASJ9ZVH/NKGNlfLccftymP4SgUU1QRTGt4ESqXsFSFSYFRiWDNVvkgJdieY0tiPl3AOGg8ZlHsZCcpyUjlB4mPLjVyfsFpL+JQEsKoogeHrYQeEZyn7pVRZILR3EGSbCcAd4sUm0PZlxBHio3isIqsJ8vwvpKWu1LOVLmbSpUwqNUiYRqFehRJdOMq4TIWSHBaihJSUcdsC4BLGJPH8Ev7RlWFXDBBJHhMProQ1jMLs6DQ6jU5/r+lnYVayUw/mRONEcTKFnVERxlV2eUQt7SAlESOU4Kqh4qKwlHqNBLpawlIbhbfUpK2zBqHWGIgitRcKqCBEIEoRbinL0+mQ0jwjmcIdCRICQKFMBVMnpbCSdai1BaPM6IdGQmgLAU28vU38TRReFwFXarNKW9yuNKnLqobUvG1LjFQ6EYl3VFpu9mfZ0ZZiQqHGlwojWGk20E0FXEultn/dIqyYOxnuq+Yhn2BXz/2U2wJ5/CFKbGAjj7Et0QylTaRNMn4lLiyc80ityTJCaDUBU8rXZIV7UfFxG1L8nPBcppNe6pJBPRIKUEH4lziyMol94zk0EVZreDzlBJRKKuMKowotVAKNPE+pLCDnKgXLW+MMGMyIUrzTYigoLSgJ0ZJ8IhUaJGu7hfvsFU9LvMT8hSrJav0EYPFgi7dMypEdKYrHYV6vwTST8qi4g5Asj4XL9N5I8d2BIp0PYv32wGXxbKyaPAnS1GDKDSPQKhC6dMJ4LHIaSfRy5jyVUOosnlUuM42fJRFs6ZQJWDN9ItY4j4MrYdZ3yWTsXzwFK6eOx5zxY7FkohNmcXnx5Eq3MAHaSXw/l9vyXuiEJBfp/jUDh2OX4qH6nbiauwrXMhfikbJlOK2dikHvyTihcsad0VPweMoUPJ01Fb+pn46Phufjw+HF+PH+/fhjx1J8dGY3vr0nHG8d2YkvLofiu2vBeO/YDjxXtQDPFi/Cmz278cejAfjDsWD87mg4Hi7bigeKt+Ny+ibcVbIXFzM3ote8FGW+s9Bj2YD+mC3oi9qIQwnbcDppKy4VuuOWPA8UeS6CfvVkqDdMQ/SehUj1XgnVxrnYtmAKNsyagIBlU2HZPhOZvvNo9O3EwUIVNsyfroRXjOU5j+X5r1m5AHNnTlcA96/zGF57WcaJ12YmYb8x14r6Qgd8tm9BBsdeYYIJJYS8FEJHis4fhypVeKHfDx/dEoAPL3ri/XP78Mmt+/HNA8H44dFIfPekBe/eHIY3zhlxT0sohnNDMZBlwBBh9mRlMsePEc0cF5LodaY6Fycq0gkhkhxlpBHmj+aYEJyrjMWRXDPaCbEdNI56OebO1mTgYEEc6ikL6ngv92bb0Z0djaNcv78oAc2Ex1KO+eZ48cgRclOs6M934FB5OtqyHDRcKVvykjnWTASxcMUj2Z4sSU8WjjuCLIFosDABfVmxvIcJwamE2gwH+vKSUGTREKz8USHwmWTmdpMUSG7j+u1cr5Iw28wxcaQ4RUl4lLhxSXaUBgRShq4qVsICgmH33o1o331IDtyPdAKjUoKL5yeF/pUnFl57kRHsifQgH5QKmHPsF/F883le8uhfwgMyCLaJIe6c9yOP468pycrxq6WMCCMYElZp0EqSlcQANxMcqwiYRfxcoA8h/FIe8v8Uuad4UAmPNeKp1oUSfnXKo/xsifMN8lC2IeX3RAa0SCwtYb+S64sx254gFUoiuG8Lz91I8PZCUqgnSqwCsFoFjMXLm2fgPmmcS+kvCUcoJIBL84WujGg0xFn5H1iUZLFiQro0Z5DSYRInKzVupdtYPo9LQjaK+X9VmsNRwuUkOaxcvLaRlO8E167MZMK7GZXcdx1huSXDpnhuSwnYNXbDKMyOTqPT6PR3m34WZjvTIjGUbcLRPCqRzCjUUwGJJ6FeHsVRSRWb/VFikcdrfkrXH/kspW+abKEENR80E7YaOUvvcnmEJ3AsBf1bBGYTtIRQgnCsCl1UnBKbVxdvQJFJkg8CKFzFuyCxWf5KXJg0B5Di/5KAUsTvJDNWPKYSWiCNE+SRvChk6dRTKslmhOS2BD0G82KpWAmJBMrqWA0qCJIZVGRW7x3QuG2GwXsPirj9w+WpaCfoFem8UUq4Ew9GG5VfPZWFPOKXMliiGI9n5KMnKZbKJQhlAoRUDmlB7kgP80GxLQypobth9lmOPEXh8TrxuGu4jXx9IAolw5eQ2pxiUEr7tEYTRgn/UrqrLzcOAwWJaEmx8zipnHituggtkpglpY+6JWtagJfXQL5vS7UoCSENPK4WwmkHgVcMjmK9H5WehopTHjWqcSA7FidKk3CkgPBPI0FCLqSBRK6GIM3jr6ZBIZ7hkO3rsHrWNAVipxBQZziNw7yJ47Bowjgs4+uCcSOxsgKgEveplNUibAnMisd2+ZSJWO08ERsJtC7zJxNoJ2DrzPFKO1wp57WAUCxeWdnGX8t6TeK8aPwNCFjqhMQ901AZNBPHHEtxa84qXExaggdLV+OcdQZqto1Ft+dk3J20EE9mz8JTuTPwEIH25UpnvDMwB5+fWYfftC3A73o24LNLXvjk5kC8d84H3z1gwg93heHT03vwm5bV+EXRYrzauhXPNW3BH48H4OPbovBU0x7ckb8OV/PX48aklTgcvQR9xsWoVy1CvWYF2k2r0W1bg0PxG1HvOwN3VXnjWqkvCtzmI2bjHJQHr0aLbifSPNcgdO1sbJs9AV6EeMOm2UjYPReF4Utx72AE3r6/FOcrIjF/0iRMGjce4+T8nSYRXsVby5nX6AaCrAK0vE7jx47HFKeJiNJ6ojjbAb3KH5WEtoJkO4ozYlFJEMwwaXG204x3HzLgw/Me+OCCB947vxdfXPPE94+q8eNjenz9iBYf3B6B967F41LJflQad6AiihAjtZnTotBC6BPw60izoDs9GgcK43CoOB5NvK+KtV6EzWDcWJ1A0E1SEsGk2og8NTleEod+pfxcOCrEAEzUKff08apUHK/LpJFrpKEqzT9MGMqKofGZqHTNasuwo5nwVEfo6s5JVICnXKAvSoNO8cRKiAPvdfEeDnKdocIkgmA0+jPjcDA3AUdKs9FEuJXjPlVXgINVuegtSEUnr8mBkmT0EoCb5Lw4ppoIxo0C/4RCSYDqSIriONYRFnn+hPRSyivxahYTjIs4C0x2puo57sXLqebvEmrAMStlqiL9eZzS2cod2RzrAo4yBkU2lXAMZev8kEjwrSYkVhPu5OlTKyFTSgBKq9pCfTCvu1qJjc0n9GZq/VDI7bYTcgVQO1NiOEdTXkQqsasVhF6pbFDtMCNXHz7iETWGIZP7LiFM9mbE8bo4FJiU+FaB0+b0GGSa1AjdswmqvRuRQiO+gnDalmDhMaphJbjH+uxFOZetjTFQRguUinOCr7wOZZRf+doAZKl8lBhcAXYJJWiINivLS4JbC6+h/HclJgKsmteExrWUPsvREfJ5fNlS/YDbz4sYKe3VkROLRv4P5TzvMrPuHxpmZxy3js6j83/buezhY3jrrbf+oef/3el/4ZlVExjFq+mvAFKdlIchTNURisrsoQQ0H87+yFP7oCCSQGslHEWHKolXEhMrfb8ltnOIkNnm0KAnzYwTRSnopKKTXufifW0ktMpjc4GyEUXjr7SqlMoH0uig3CyJSmGQ7jQCZ50EQUmikhaWyuP/6DC+D1VqVwroZqn2Q7N7LdLVXmjPsCjZ1eLxlCzboohApIV6EYYDKHT9kKYPQjoFbnUCFSthvYnrF1sCUErl0J8TjwECQx2VocSllfI4RNjL+UuJLGlBKcedo/ZESpArssIFbiORq5be6yFUPmFUOlK0PZDL8DoRfs0eOxDjvZvnE4Re7u94IeGVyq5ZMqrzEqigY5QkkCxuo5SKTh7bZoR5I0PlpShCUTiVVDyNBIB8XQBypMOR1ODkaxWXrbRrkBHurijXPPk/eH4tBF6J363n+jW8ZvWEjyyVO2yuW6i4fJXyOpb927Bt0RxMk3hWgtQE8b6OJ4Q6jSXMjsdiAq2Uz5KmCRJHK8lfIyAr1QzGKKAqyy2bPA6bZkzAzllO2E6QXec8Fismj1GaKswhDMv6s8eOVEUQoBW4XTdtPNRrp8K+bTKatQtwNHYpTsUtxFHTXJyJnoO+4Kko2TwOQ2HTcNE2A7c7puNOx2S8UD0Hbw0uxDucX62fi+crF+CNgQ348Ox+fHFVha/uJcg+bsO3t/vgT+d34rPT+/B81XL8smYNXmjaiN8fJvidCcer/e64r3gdLmevxrGoBeiNnINj0csxHLUWnYbV6IhcgS7jMn5eib7Ixbir1B03puxAntsszgvQHbEKrZq1iNu9GCErp8K6bymCVzgjaud81Kg3ojJ8FS6Ue+O+9kA83K1GrWUHVs10pkEwFgudp2L57BmYMGYklvZfvbO8LmMJs+MIue5b1iEn3o50B4EgOwlFaTEo5FyWHY2mDBVevebAt0+Z8eXdIfjqrkB8cWcgvrkvDH9+2oyfHg/DV/f54b3LGnz0YBnOF7ohxX8FHAFbkSvJfzQsqwR0CClSozU/IgRthFq5v0oISamB0tHJk2PDiN4cqYEaSQDzRynHbR0N0VIzAS2aRhlBM1/jgQq9Fw6XJOBUQza6OD6kLFUrZYYkJw5lxxBw9UpsZSW/q4o1ooHwVk6AzDfRoFIexxOy7FKZxKRUA2hLs2OwKBX18TYejzx6FyOPRh1hdaAgCUPF/I3vc3msWZFBqOFY7S1OQktmNKppGKdr/JBLwMqNVCke1FKbVjH85AlOZ4okrqkwkEkjj4Zwa1QwGuS8CKwNlHfSTbA+IRy1iZRBNDhzKZckEawyRuJ0tTxOgjqBWcr8dWYY0MfrI+MxhrAotZrTQzgOjYEc66EoowFbagihAUkY5ngV+VBC2ShJaZX8vdQQQFnH4+L1kPjXAp3EoYrMkbhjPeUOrzvlSXNiFH/Xo8TM+8hh4na1ioe3RGpFSzhBtBFWP3fsXrsQe1bMg9WfclS6AibZkBwegH3rl8Nn43KkE1jFgGlUwhIoUwjfIvOUDmWUO0WUico2TSol/KFaSqBRLtVz+WYaGWJ4lPL7LE0Aon32ITWccsgcjgLKO6ldW85tSrKpGAESEy3JeUU8n3wC7yjMjs6j8/+d+f9pmD2YbUJHongEvJARtI+KzRdNEsdaGIsj5QkYzKFSkUfaqValA09lNIUfobcxQY+meOlsIyVnxMuhonJQoz3VjC4qH8msl37l3eINUmLtNBTYXJdKQ3qwF0X4KI/75FFnYyyFLYW6eEglQaSR2xSvaIkxgMLSF9KaVcp8SSyrxKZla3yh37MeSQTiDh7bQE4cKihcRUDLY0nxiKQEuSE/MgBF9ggUUjHkG6kQzNKKM4QKgUrGTBiPs1IA62HjshbffVSIwQR4tXJ+tdFSvUBCCkT4B/BYgpCnkWxuyQrWEhojUE7lW26SbjzhSgF3KUYfTyg1e+3mtvx4TSQjW7ovSVMHHVqTo7h9PTK4nzjf/bB77EKhRasoikzCcCH3IVBdYVMrGccOQrHRZQNi/fcoCTalURFUuIFI5nnn8ZiyuU4O15VuX0URwYQNf4K8O/ftjeRgFyQE7CEke8C0dzPcVy/F4qmTFW/rJMLqBMLUJOnWRZhdMHE8X6XRwRgl5nU2l5HXmYQxiXeVkIQFTk4jsbVS0YBwum7KGGyYPhYrCbISPzqfv83ispJANl9mgrJ4ZWdzm1tmOyFy0zQk7HFGh24x2iPmoSlkGvJ2TkCfahra/aejeJcT+sMm44x5Ki4YJuHpEgHZJXh7aAleqJqLR7Jm4tWW5Xj76FZ8fS0AX94Zim8ftuLPT9nxzTU3fHkTv7/FBW90r8ULDSvxUtNavNG3A++cDMKbwx54umYTbstYjrPxS9CjnYWTjhU4mSBVC5ahOXwRj2kxDkWvwq3pW3B7kRuGbBuQu382svfNRH3AfBS6z0f8tjnI9FyEZNelMG+YjcRdC3CuNAgFvktQF7oUA6bVOJ+zFZeL96EiYC20m5bA6LaOAOYLz03LMH3iRIyVEANeH4HZEY/tGKxdthiJFgPKc1PQ01SOuvIctJZmoi3bgrv6zfic5/n5VT98cXcQPrnqg8/uDMbXhNkfHlXjz48F4s+PB+BPdwXj84cycHeLimNlN9JVu1Fg8lcM0nLeyyU0dIoII2UEj1qCbIGUXSLA5BlCCYmS6EQjiBCYzzGUpvIlfPKeIgCVRNH4jDKigmMlW+1NcAlBby7hkOAqTwlqCK0lHA9yX4rXsyvRjGqOIamiUMl1GwXOEsyoiIlEqZXQZOcxWLyVhEZJ+urMjsdgcTra0qNpKEpsqJqGrMSEW3GiLE0xCItMQcjgvZ7O48rj2JGGD+K1reTYTg/xQmk0tx0ViQxCVjbhsYLbkGof3alSRi8GBwsy0BanRr3JFwUqV6R4b0NW8D5khO6nYS1PiPRoSbahgaDckx+D4cokpQZveqgvjU55shGmhDuJkS2tYDPCpUFCgGIoyiyZ/oU8f6kCIHJLADYrxI/f8RryOhcS5PMM0up2BBYrxDNr1VAmBSOdhqzEEouXtoqQ25hoQ75BhRQa5Ll6jmmO7QJ+zua553Bf0sUrJcwPkV57ELJ7C2KDPSjHDGjm8eZoQ6Hetw3B29bA7uOCMv4vEg4h/0eN5DFw/9ViaPB/le+lxmyFNF2wR1J2EsQjeO14DGL0SGte8bpmEpCTgr15LCL3jcpTJQmdKDYFK579jgwr/w8J6zLzftEo99MozI7Oo/P/nfn/aZiVrlxnyhw4RwHemyDxqEGEVxsuNOfhVFmy8uh6ODsKXVR0kqDUQCitI5B1pMSgTzwxhNYcWvdSykrqUvZnxaGFwFcfI/Vc43GprQgX2ovRmxeLVkKqFFyvJdRKolmNPUyJke2gEmmkgO9MsaBBPKw2qYcq8BlEhRWixIVK7Vpp19qQQMBMtlBp+VFwBqGNyq4z1cbleOyiCClgReHlEO7KrBEUtAlcJ46gGEZlETniobCKxzmUsOeO8O0b4L1+Ebw3LEN0sBdqHBLfFoGssH0o1fsRpAMIBwRfKk4pWyNhFBKPWk1AKNTJeYSjk+dbYwmj0gmlYjUgJdxf8Rg1JvJ8CPSS8CZJX5XRWmRoA5Gq9UdiiDeBfDsyjBokq/1g93dBapi74v0uJeCmh/gg0c8NjkAXxMtxxVsURWPZvwUWj+3IpNFRQMVZxWtYSUgv0gUjlzCbEuyKjLD9SA/3QFLgPsTs34qAdUux3Hkqpo0fh4kEVfHKOo25ARM5S6jBDPGocp5BIF00YQIWjnNSWtfOJGhNJ5AKzM6b4KSU8Vo0gfA1dTyWOd2A1VPHYI3zWL6OxSIBYQLa3PEEXu5HPLISZjB/3A3YMm0MjJunIH7nVFQGz0X6vinIdZ2I3L0TUebC99smoCHAGZccM3HKMAWX7JMIowvwSvN8PJQ7DVcck/Fc9TL8YWgjvrjFDV/c6okv7wjEj49H4vuHw/DN7fvw5cWN+PbKLnx0ait+3bUWv6hehefqN+DXgx744KQ/wdYV1zJW4nTcUnSqZ6NVNQNHopajX78UNUHzURO6EHUh83EmeSuGbetR4jUXDZplKPMhwO6eAvPy8agLWohTSTtQ4bMCDSHr0RC6Aa/cFo3Hj5tQErQEyTumI3HrVDzR7YdXjqtxZ30orjWq8Oq5KLx+az6K1fsxh0bBuDHjFC+t09jxGMv3C+bMRGqsFUPdjTh3ahC9beUYqonHPQeT8NnTxfjxFzH4+KonPr3dB59c8cRHl9zxyUUXfHuvL/7pl1r883NafHm3P967ZsVDPRE4kOnP8SkGqjdSg/fQuPEiwEaglLBRQuiribehwKJBAYEml6+VBM4ift+enYj2jERCrZ3vE1CVZENNkiSiJaIqRbyjHAdJFjSm29GUbFLGYUWMHvmE4qzIUH5np7FJKOf4bkwwcrxHoys1Bs0ENHkMXc/vymgENl9vzdrA4xAo7StIxoHiZLSnEyhp+En87UCmAzdW5Sg1lSUsqZhjR+BV6ssOFsajOcXMsaxR4k3rKIPk+O1+rjT8XCl7aAwTzKoJgp2JehrcXNbkh7IId7QQaiWkqJlyRxLRKvT+ijySUKXuTDvO1afhcm8purOTUGjQ0sgMUUIkpNxfA4G/ljBeT+NbSnGJLJTufDLGqwVGeS0baJDX8hxT/DwIujScrZE8Zz2KYs1IIwBbvffA5rWDcEgD3THSeKKa5ysNDBpE9khSmCGM8ioc+eLp5DUX72wlty1xq0p9X84FlMFpulAaxgRSOV/5D3jONh9XxAS4UQZ504ggOPM4iwjs1ZRpcr1rYyyUGREo4XbFoJEksg7CqHwnhowYHALM0h2s1BiqHI/E4kqSV12MQfks8cCSPyChD1KhpUFkk12H8lg9DZ/ROrOj0+g0Ov39pp+F2b5MA4W6lJPRoCuFiinCB9UxYUptSokly9d5IyvUDfkqVwp+b1RR+LfFmXCiNBOnq7MIi1bEhXnDIWEDBM2hvHj0ZcQQTs1ojLfidE0WLnaWYbAoXimpdSBTEkD0GMq1YzifMEwFJ+Vt6qP06KGSlEeP8lhdHp0fyHXwO6sSG9sSa8CR3HR0Z0SPxKcSMuuomAaKJGvboSRdiedBylqJZ7NKSuJQeNfHiWeHwtumRRkVojwybaDyzqMiSPD3QpwfITLUC5naAKRrgxTPiXSyKZai4HoqAYJiaxyPMd6MUpOaiomKhso1y+CHhBB3pIf68Ph0SgmeYgKyxMMpNSmpRGqowGupHEq0fsjkPvII6PLIUFqKpod5IZkKp5SKrpbbT+LvCUGuKI8i+CYnIU8vsWmBKCMol0fp+B9FU6HoYCPIOvz2IUM8sjzPtmSz0hko3std6XOfofHmtqXdphuSAvbCsGMddi6YhZljxmPymOsgex1opxI6p4gHlkA7XUpr8XXhJKcRLywBVjyxEjsrJbxmj3fi+jdg9oRxWDxxPObx/cqp45RksBUTxxKAR7y5syV0Ydw4pTSXrLvESdrfOsGy1RnR25wRt2cGIlZPRNyuKcjcNwlJG52QtX0KhoyzcMQwDUcjp+LhogV4tmIhjoeOw/HwiYqn9dPTu/HFBVd8fMEFn1/2x09PmfDtPT74/BZXfHNtH765dQthdic+P7sN7x/biadKluGu1Hl4oGgVXmnfjbcO+/D9BgxoZ6NdvMGhM9AZPAN92kUYNK/DYPR2FHnOxKHoDch1mYpC92loCZuPUpdJSFg3Dnn7pqM6YB4KPGaj0nsxYjfOhGPzAnRbtuJEpjthdiUK/Bfhxty9OJ66Ca+e0OJXp4x4/rAKf7jFAnw8jD+/eBCZXruU6ziW/4XT+PEK2K5athRVJXnobqtHT1sVehuzcf/FCvz45TX8y5cn8dPrBfju6Uh8/XAQPrlpDz69yGtxy358dbcvfnrWhH950Y4v7wnGG2dD8MRgBM6Vh6I/LQD9mYTVMBfeo3t5j0WgIlaHkmgj4VPKVxF2HQZki1eV925FchTaCzLQnJmA9txkHKotRkN6PEoJ2UUxnAlaUQFeyCYgircwReUJzc5NsPBeTOV9n28zo8RiQpE5QvHoije4I8WGkzU5OFSShtYsB7pzktBESO4qSEF7miQkEZB1YYTjGByszMfBimylSkIdx+CBgiQcKEymsWyl0RpCgzmc41tNyLThaG06WiW+P4HgbIwggMcpj7elnJbda4/y2L8lhsYtgawjXk8jzxspNBaT/PYqDUMkDl7i0juyR2RJrSRWpZpQKo/RDTRQOR6PN/L/yIwleBvQKU9oOHbbOK7LIv053nwhpfpk/y1Sxoyw3MVjaJYETZE9BLqcMD9CIZdxSA1cHbdpU57YrJ09GTuWzUMhZYx4g8sI5GWUEeVSgouzJFUJ8NfSAKjh9ioot8TTK8lj0hmsIipcecpVQXkooSMNKbHoys5FsU7iYsMUOSdhHSWUdTV87ciSDnB6nq+RIM7ji4oipGoJs2rKiUBuP5xATkNDQJTXuU4S1bistAiXkmJNBOIqSwhaaRRU8HySfWgghXginf+/lPaSeOSCyGAa1uLJ16KY0DsKs6PT6DQ6/b2mn4VZpc+22gO54VIaJhClUqEgUUfok5IzoYpnozdVjxaHxK0GoFTnqYQWDOQ7cKwsDSUET9/1y6DZsx5ZBMB6riudh9pTbUopqs40i5J4ItDbTHCVBgMSgzZAqB3IjlU8OP05cUqowHBhvFK6K5twLHG10t2qJcWoxKkV6YPQ4IjkshKXZ6GSowKhQhsqSlIytKW9qyRmSKkaSVyQmDNpk5kdGaokVxRIqIEpDFVxhOwkq5KsUcRZFEAtBXlrWozi+Swwq3hNCMqx8shTsnOpJMxSySEGxWYtcgjBAr5ZGl+khXkiOnQn1wlDBeG7nCAu2xKlIwleoiDE61Os9kJGmA9SI/yRz23lcb9KPG+YL0qoICSTWArLp6k8IF2AaggX5VE8Vqn/mZeEZlE2kpwh4KH2R51DT1iPUFp6Sl96UUK5mgDlMWFeZAAh1k2Jk80I2Q/V5lVYMXUSpo8dB2cC5xRJ0po4AbMmTcScSfx+nBNmTZiAOfxu3oTxWDjRCfO5jIQYzCKYird2LmFWuntJdYLpBNW5hGCJr10xeTxWT3VSEsjmybKENOkoNoPLTrpBKiCMxYpJ4+C2aDIiNjlDtXIyPBdOgOcCJ4SvmoT0fTMQt2kK5wloCpmCg7ppuD1rEe5IX4AbjdNwS8xMvDGwFZ+e2ovPz7jgg9N78e6ZvfjmETW+e1SNr6554subd+Ob23bg28tbCbN8veKKL8574JmyNbjZPgc32ubirtzVeKHdFY+UbsYtiSvRGzYLB3TzcTJqOdqC5qIrfBmGrZvQb1iNo1Hr0a9djo6QRRiIXIIu1QK0Bs5Dq2YZrOsmIXzBGNgJ45U+C5C4Zy60G2cQopaiyboNNdq1eLQvGK+fU+Gxdjc81eWD312IwPvXdPjnj/vxzx9cxEdPnkBTXCDWz5+pdEebNmkCtq1bi8LCDNRXlKC3NAVP3tSIn756FH/5/jF894dBfP9CBr77pQlfPxGCz66449t7A/H9/YH4+h4//PB4BIE2Cp/fo8bvL4bgV2dMuKMpDMeyA3EoJxztycE0vtx533rz/uf9Hks44f2UqSOU2iKRbtIgi2MmjxBSRoCqlMSsvET0lmSjIoEgaYlAYZSBRpUZZQlmFFi5Du//hND9sPu7Iof3XwnhsyYtDpUxFsLpdSAkRJbGUE4UZ6CMUGYJ8oJDE4Ryad+aE680PCjkeMyJCEJVgg39XG64OBcdOSkoizFxjNoJjAYlbEg8o2mhfpRT/pQPJgyVpKK7MBEHS9PQkRytjLMKjltJ1BIPZAHPs8yqUeqnVvBYyigPxMAVI1TCElLDOIa4/zYaz82UBdKtS4zMKo5fJQSA59Gan4gOGs5SZq+FY7LCwOO0SF1njfJIvpzjT2rfyjivJPQ1JkShgteyQBuCRF8vpIcHICeS18YyEq8qRrbEyKZynKdzmSaCbA/lX52EYNil/BbHPecqGhplXKeB/4VUDhB5UMx9S03XWoJmtRjlhO4K/g/iMRVZIMawlMUSD2y5OUiJ45Xk0qOlmZS90WgUz6mF0GzgbNSgJDIMpTSWy/ldKf8DqYYg7XTl3OQ6yXblt6Y46VRmpiFvINhTPhKyK3hMkuiVRfklIRZSEqyCAF5O+C0WY0CvGoXZ0Wl0Gp3+btPPwqw8ti8zByvZvzkab1rYBFrbSEJDGQFS6sAekJ7cUiZLGhBIohfBtDXDhoYUk/JYO3jbWpj89lE5atCTH4/+/Dj0ZMUojxzlMVRzsplCX899mVAXLTFxEWgn6LYoJXcScLaxEMcqMzAoJbUI0VLTUGobCsy1p5iVEkBK/3VjqPKb1DrszrajJdXMz9LNy0ClJGXFxHNBxUNhK94QgdNCoxoVVOBFVh1yDdwulYUIcKnTWKgPJPR5EF4J4VQ2EmOWFu6NDLUnlRCVV4wG9XEGFBI4xVMqSRs5Ao2cS4zBivAX6BZvSTMVYykhtICKU8rtNMRIVQcbunmOHQRdUUJSTqjMLu0/aRQYaDQQ1pVaj/FGKhypWiCZxCZIOS4pSi4tbFvSY1HtkHjHAFTZVWjluYqRICELAq4CwQ3cviR6SDykFMivkHhHgnOi3x64r1yIRQTVuQTWuU4TsXDaNKyZOxvr5szGmjlzsGTKFKyY7ozl0yZjyeSJWEq4mk9YFa/sHKexmCPeVs5Se1ZiYKWbl5Tvkta2K6Y4KTC7kPArIDyLsDyb60r7WycBXy63kr97LHNG8Kqp8Fo4CdunOWHXzPEIW+uM6K0zoVo0EWm7p6I+ZBoGtdNwJmYuTphm4I7M+XihcQXePrwF7x/diS9v9cNHF73w1X0qfP9oOL6+wwN/umkn/nRuK766uAXf3roVP9y+Gz/c7Y1Pju3F85XrcIt9Lk5Z5+J83BLcVbiR21yH87ErcNK2Aj2q+ThuX4VBwzI0By9Al2YJhs2rcDFxE87EbUJLyGLU+i9Gued81AUtQaHHQljXOyN77yxkb5+JTvVi1GlWoda0FsatsxCxYRqsfD2ashNvHvHDu+dC8bsbw/Hx7RZ8/aAJf3mnDj9+fiP+6euH8ZcvHse57lxsmDsdsyZOxKLpM9DVWoThljI8dKYT3773MBX+6/ju0wfw1est+OqFNHz7yxh8/5wJPzylwo+PBBNm/XkdQvGXZ034p+dj8acHjXj9hB/evNmOx/p0OJS8H4eyQ9CXEczxSviKCkRGuCdSaICVRNOgonFXzPs12xyJ0qQo5Fr1yLcblLCXagJiU0YCsjl28iwcP4Sa8lgjCgi2ElJQKl5B3mu1vLdbCDniWa3hNqocRt6rksykVR4359H4KyOQBrluwfyZU7B05mSYg9zQQEiURgeVYviJcZkag/asOMKaCbXxUSiLpuHGfUjGvMgAGe8Sk9ma6uD4sFLuWNFVlIijNbnoy3IoTyfk8X6dg8Ykx2s5X8sEEDkXRVKOUC7JNmooj2riTJRJNoJsLA1uO8dSFOolhthIuKO8qEmwoKcoA42Z8UrlgK7MWI4vA4FUxWsoVUskvIHgz/fFlCES61rJsV4Tze3G2dDEMV/M61ZKOVNo0RFqA5Hk50I5407DNVCJb63lOXdl8lzEcEiPRwfPS0IMpGRWA/+DZrkmNCTqeU2looI0YCgzSdyrVJMgVHK/4m3t4rE3KMBPg4TGcnqYO2WLnxLC1ZVqw1BhCvryUyh7zYTTCKVObTXlYJVJas1KTW4pVcjjF5AmpEpLWqmtK2Baw3OSWNh2zm0pdvRkxCuhXOUix/jf5BtCeZ4qyh0jr60OUlaslNsvobE+CrOj0+g0Ov29pp+FWSms3pct3bOkALmF8EYr2xqs1EmVAuQSoybxaTVUXFWiSAiyDVLrMcOBjowopVNPqo5QRbAroTDsLUhAZ7ZD8XZIjFyfgG2uA11ZsejLiaPyiUE3YUwSQMSb0JBswoGS1JGkkiy7Ev8qpXakJM4BgvEw1+/ifgQqxXMiWbTVsZHozBSPA4UqwVJi6qS+qyR1VVO4ikKqi7dymQQqOFGQPHa7noAqgluveBKqqTCLqCDS1IRXKY1kFniVxAy1UhxcgL5S4oMdVBZUXOL9kPORigJSdUC6EgmESuWAFsJ2B8+vnkJeOnBJWZ26aCMNgWgMpEdhQCou8HyGStN4TDFUGBE8R17fRJ0CnwU8/mpptRsnXZcikE2Ylixh8cCkSv1eQwAKIv2V5BJJuhOveXq4H1JD5JGfF5WMlAPid2p/JIUQzvX+SAlwgWb7WmydN1sJG1gyeTLWzZ6FrUsXYu+Kpdi7fAn2cN7Fef1cZ2xZMBvrZ0/HsimEXoFZgun8ieMUr6zAq3hplaQxgqrAqrS9XTF1AlZy+QUTnDCPUDaP+5lDsJ06ZpwCs1LDdsXU8XBf6gzfpVPgMm8KNjpPwI5ZE6DZMBO+C6dAs8IZVf5zUeTujGa/qRjWz8LV9EV4pGgZftWzAe+e2I2Pz7vjc8Ls13cG4PsHw/Ht3YH45Mx2fHZmE764sBXf3LIT317ehm9u24Rvb9uBP53cid93bcOD2StxJnYxDujm4Zh5AY5bFmNIuxCdqgVoC5yHpqC56I5YjNbwhWhTzUVn+Byci1uPm9N2oC9yNSF2BVK3zUG2ywIUei5B1p65SNwxBSdj1uJi5i68eECFexv24WrFXjx3wB/P9QXjVOo2PFm2Db9o3oP3bjHgu8fT8E9vFOJf3i7ETx+34S/f3Y+//PAqvvnwUdSnhmKJ81RMoYFQkBSO208047O3CLLfvI5vv34ZP3xxD356pxPfvZiKLwjEX92vwbcPBBJmg/Djoyr88HQk/vmVWPzTc9H4/ikrnmrbgd9csOL5I1bcmOuFwzkBOJgbgm4CbV+BSSmrJ61aM7W+qEmUeFdCE2GqMS8ZOQS0fI6NdB0hLYZygBBTQBhtSKbRSJCp4hgq55ipJ0w1psXxM9dXQDQKdQRTCU/oLUzl7zaCJGGPUFZBAJYyf3HhPvDbtwPBO7cSmCPRIo/3abjJY/CaRBvHp7TXtShJj0Ucf1US60kobkyTpy2S1a9HJ+FzIDdVeaqSExnI/Vhp0CYQwrgcz0U8tmUEy5SwUOXpRz2318RZxm4ZZZN4QLvy0gmIMYRSifuUscbzkcfoBLhCScjiesW8DrUEUgH4WkKvrCdVTLK1NCYJwmU23fXkuXAlnrWI0FoRa+EYpcwgjFZJ/CrHohiukpgm4Q95Gn/kyVMZXSBl68hyRTQS8vleklDbKCek5qw0TWjhPnoI0R1SzYLHJ40iqvmbeICVa014Lee64j0VCO7PTUG7JJYKXFKO5Gh8aWBLExiJ57Ur3uU6GgK1dukcRlmuhEJI0wbKUv6/YviXEWbFyJakPQFsSUQT+VhPoK4k/JaYCLqx/J8IxQLqNTQ65L+TayP1ZrND/XhNgmjEhyj5CqMwOzqNTqPT32v6WZi9WJeEk+UOHClNINjGYjAnGu2ErAMFMejMiqLysCA+aD/0HrugdtuKNEKVKBxRUgJ/Et+VHOiFQvEcEPYqY+WRU4iS+SzJBz1Z0ThZnYOjFVk4WJiGgZwEdKfble4xlVQgNYTl9gwCbBKVEuFUOvpICRpJBhkuSsQQYbY9VWqv6tFDSG7hurUUuI2E3o6MWHRLwhkVaGMKFY2DiiXBgBIqkWoKWynxI+0hxdvQwvMQEJYYNXlEV2ImSFp0VFpGQriGCptQX5iMQ+VZ6M1OpEBXK5DaQkXZmmpHE/cn2+spiFdq8cr+pNXngcJY3DZYg1uGGhQvs3iGC/Vq5GkJwwbCtTUUVRZpJkEDQbzHsZLgwfepRoItlaZ4XSQOLlZNRRFI6KZS1fCVSlPqPjr83JRHqC28tnJ9lD7tVJRSx1KypNOCPZGlZEQHI5//TZr0xyecm/ZtgscqgurM6VgxbSq2LF6IHZz3rVgG/81rod23HQaXnfBasxKea6WczyrsXDQPy50nKR7Z6YRZgVpJ6ppBkJWSXgKoEncrdWQXThiDpVOkxixBlsvNnzgBiwi1s8ddj81VYFbiasdj74JJ8Fw6DRunTcSKSeOxZeZEeC6air0zJyF81TTEb3dWYlJrPKfirGMB7s5ZjBdb1+HLq4F4jzD7x6Nb8eUdPvjhPj98c6cnPrt5Lz49twMfn9qML27eia9u2o4/nVuDH+/cjW8ubMZnR7fg7cEdeKp8E26MW05InY+2gBnoCZ+rhA1UeExH0b4pqPGdhbrAmWgKnYvWsNno1RB6o1bhWvY+vl+No2ZXVPmuQonnSrSFrMQDpbswELURDzcFosJnOVK2zcYvDhhxqcQXV+t88OE9yfjL78vx8W0mnE9ah3euxODHX+bjmyeT8OXDBvzl/XL800+X8ONnx/HP3z6N3z7ZAd+tq3iNb+D9H4o/PH0B33/9Gr7+7Fd8fRY/fHgJX71Uia8etuCLO0Lwp9t88dVlb3x9xYczr8X9KvzTCw789MtofPuIDg9VrMbr5yLw0nET7m4Nx5nKUBwrD+N9qUJ3nhatafKoPQgZkQH/H3t/AeXVtW37wkBV4e7u7u5Q7u7u7u7ugrsEiLu7ewIREmLEjSQQQiAhBAtJdn+9zyJnZ59zct+53937ffeeW6u11f62ZK5Vtcb8zTHH6IMDOA4ABTiJUSiI8EO6rxuyAj2RHeiLrAACLb/TALaK8FgZTxji81rN56wlKx6VCWGoTolALYGrnDCY6e/G12C0ZSaiTrqpkQFmmryG+8qbWJ1ICDJe11C2IQpNyRHI0eyBvJr8v1Y4grybxRxsSlFEcmLVfO5KIrz5vNDGcC2lrSnn81AZHYB8/u/XETRr+TwWhEiWSyokAsgAgrqUQDx5fp6boJXPgV4On68iHkOeWSk5CLIFkwWEZw1SK2gjBLK5/u4mNClf3mmCejHPmUEAjbZdhTR3ArTsCa9PoQPFBL48vioBK5P7mVhh2kCpHyiMSFq7etY1KF2XwME5gVPyYZlsaw5hOMvHEYW0FVKUKFe8bJAbMjytafv4mfarhOeOVhiT7VKjRFHGY8mmSUJMiVqK+S8lyN9YW4yb64uwPTOBYEtYjw3jsbzRHBvOwa+Sy3xRTPshCS4VrdjIwXQJr1X2sDxYoQruxo7kBbnw/vjRpoW0S3MRcotpmyQjWOCnkrq+xiFQenX2S9DezP8BOQtUxSyP90kwrfCpDpjtWDqWjuVftfwlzB4oCMWdjUm4f1M+7m7Jx631mdhbGIut2QS3rHCOvn0Rb7cYK8cNwbxxQxHqsMJM81XH+BIMPUxsVrvsljvKIr3RkCiZGH/Ua8qPBnldRjiur8o14uaaGi+m0dRU+q6iBBrWCKwjRG7JjTLnUoUsxYgpRrSJ56ji/qpSo/hYxZy1EnSVQZ3Pc+WHKtmBwEnIbEkSaAaYzkpTl3XsRLflJKCNHUgdjXkr95HXQ1nD6ggV19qUGG28Is2CY3bWhRGeyGDHoyzi8kAvk/i1IysKt9cVYVdpCo9NOKbh3luejlvaSrC3MReFBMsSAvue6kw0E9rjHJYb72gBOwF5cqQ9G2+7BOGr5yHZeZXxsBiPEc8nqa5GlbVlx7UhKYiAH4zKME8Tx9fEdm9IjWWnIt1PhXW0xx0XhbTL50ilIYcdWiE7KWlaFkjVIMwVOW7LUOxvh1TnZXCbMwFzhg00IDtl6CCsnD4Va2dMgdO86XCbPx1BKxcgeOVCePK93/J5sJ42HtMG9cHIHoRTwuwAeWPllVUCGGFVkl7yzLbDrKS6umBMD0uMUrxsFwvCrQVGcLuBnS1M1TAlfyk8YXJvKywd2RvLRvbBJMLs2J5WmD2wG+YP4NqvK9YOs0LY9B5ImNUdW30H4sHMsThUMwXf37oSX16zGJ9sI5zevhhn71mIH26bh1M3z8GJAzNwfPdEnLp+Gs7dMwdnCLAXHl2ES48swNlrJ+HbHRPwxeZZeLNxEW5NmYZWlyGoW9UHtav7oN56IKrXDETirK7IWtoDJWsHEEwHYb3nMGz3HYHd/iOwK2A0KtcMQcbCfmhwm4LIcf1QbzMSb+1YirtylqJy7TicfDAaNyQvRbP3TNydSzBaMAK+Q/qj0GYUXmxcg8vvVeC3L5vwy4fVuPhWAS6/k4LfvqvFrxfuwC8/P4u/XTiK7z97ALE2i+A4cRiev74K5449jwvfvYezXx3GueNP4/ThDfjhmQSce8YPZx9z46srfnnTH78dCcSFx5zw032rcfFxZ/z6Sjhh1gsH22bgvZuc8c6NvnhqsytuqXfGvio37KrwxvocDixzvFET78VnxwNxTjZIIaDlEsAElTmCKT8CJp+XfAJdeRyfccJrDv+XM/wJvnyec/k+lyCTTJAqIuxVJ4UTugKQRjjLIZQp1rWSz1RtbLCZui/jgLBKEBkXhPKYYBRz4KvBa1MSYZj/19K/bUjjc0jwlVpHAZ+7HB8XFCtMSImPhFcds4L7CjbzeQ6FMmjgbDybfJaLCHelBKva5DC0ZEQazVXBXHkE4TjcF+kBrkjj9tlc5XHUQLmKAF5FG6Dsf83ElPO5zuc9qOJ5GhSrG87zEuIUY5/ougZpfKZL+Jw2Ed4bec35Bl79CJhhSOWgVQl1RRx81sYS/Hk/yqKCODiO4iA9wmi9KlRA16frKdJAmhCZpzh+wqbaqWl6xb2ne9qYcxUrBIT2KmTtYjjMHIcE59UcPIcZ+yGbmO/vwudfOtfuqIsKxrbsRNoSP9qLAN7LIBMCoPsr6JRsmsA4x8+RdsLFSHjVxAQaBQTF5ub5OPB4zhwkKFSLAxbJLxKe82VbeO9y/HgsDmwUwqUwgywOgtK9nRHjam3KFxdx8K04ZaOzq9A02sMOmO1YOpaO5V+1/CXM7kz1w/WlkbiuLB57ixJNLfaWJH8TdrAxI9SsSgqLdFgM75VzEeO+FutyY7EhK5YGTFWzlNEbyM4kkCCpeFVPtBHI2pLDsS5FmbYxqKWBNV5E17U0sPIKBJn646pTrqSwDekE0uQASENWQLs1N854QxWPpmlCyQBJ13ZLVjTbE2OSO4rlrWCn3EKYVQZuiWJ9g914LtV7jzDnb2UHsCk9Ejt4PCVlCb7LCdzrMyMIz1E06j4mZEEeIE0JKmaukJ2eSm8W+9iZEpnbM1RdjB1tkDtS7GzQEh+OPYVJ2JwTjVgvO3iuWoBKwnQTwTPRdoVRMqhOCDAhD7nscCpo4JXMpenMjZlx2F2Sjk085rokhSGwA+L1beDAYCPvX1sy74s8zoTZdVdXXYd0MEtCnBDvvNR4WUoC2Qmys1UZzVwvWwOyKpZQHujAttsjdvVcOM0YjVlD+2LaiP5YNGk0bGZNhuuCGQTXufBeOAPRNksQsmI+gvjZZ8kcLBoxHCO7WmE4AXUQodQkjBFgFSrQ30KqB4LZLujBVxVRGGFlgbEE3+GWXTCc70dZdsJIS4KvVAwIswpFGMrP0qRdMKQ7Zg/oYSqIje3Z1cDstN6WmNPXCmuGWCJooiWBsi9uSRqH58qn4sPtC/HR5jl4p2Uavt43F99eOwvfXT8V3+7n510TcGLPZJy6ZhJO3zgNZ2+dgp/vnYsLjy/Bubum47sdo/HtTsLstrk4fnsg3trpjQNx01FvOxBVqwmuyweg2nYIshf1JtB2R+bi3iizGYxm52Em4Wu79xBs8RmGJqfBSJnWHVW2o1E4vz9abEfg6I4VaFs1BptXjcP7uz3x0mY31DvPQN3KmXiqzBp3ps1Dwtw+uDtlHL5/Lh4XP6rCD0dKcea1Ilz5thaXvm3Fb7++yA76M/zt92O4cPo11Ec5oClsFc5+/ggun34LPx9/Fz8eew0Xvnka549swuXXs3DxUCh+fNoXFw754spbAfjtXT/8/pY3Lj9vj0uP2+DKS/74+UkXXuscvHvdWhy9zQOvX++Ne1udcWODO/ZWeWFroRe25fvxuQ1CJZ+lNC8nk6QkT6HgsYCgmSeI4XOQrzCBWEIk/6/1mkXQzSMElsb4IyPADSn8v87RlHpcKGEmgN+5m2SyTAKYvI3N/P/WFHSNnsX0KFPOtZLPh7LvCwmP9YkhtBkRBh6b0mOhZC9Ba7Y/wdnbxciGKdZWGsxl0QpvaI/XzaO9yeVvRQoZ4vs62pW6RIIyYU3xtZKNqooQiPJ51qwL9ysl/OaxTbo+eVaLub80bxWGJFjNIcBn+7kR8L3QmBJjQh7y+FngJm9oHu1WGSGyyYBpuAlz0DHKowJ5feG8Xg7qeZ50Ar6m5eu4f2lEIAoJt1U8d2tmNK8h0MQfKxG1SB5cvk/3sCco2yCT97JS8cHhXsj0todicVuSItEUG8rrd0fQGv5POa/gQD7cSHlpkKDXQv5NcgiWxf4eqKXdUrGYTNfVyPbh35Tv1UaFBWR6Oxmtbf39NNDXQEL3Loc2pFSJfbwvigFWqVupGBT5O6IyXIVjZC/dCdmuqOX9ruA+Cs/ScXP93QzQKvG1WOFl3K7oqodXYQsdMNuxdCwdy79q+UuY3Z0bii1p/tiQoqpbPqiV/qLgkcZsQ6pqrUcQ+uTR8WlPwCIwbshOxLaiTHYm8rayE4n3Q31yMNYREDX1pHhayXIpZmtjRhz396cRl6SMP0EzEuvTCMzct5VrCzs9laStj/FEY4KUENiJ0rCr/nlrSqTJ+q1Xp0VDuy0zFlszos3vOQFOhDiCIDuLdYTXcoKqQLrSeIw9zdSXYHdDOjsh7q8Ys3y2QZ6d5pRQAm24KRARsWYhIm0WIcPTFs1pMaiMVVIZj+9lY9pUEuyMVM+1SHa3Q+SqJSj1d8KWZBp+3odQ6yVYO38aYjxsoWo9mR4OkAC6qdXubYd8L0dsTAvBfgLsHt6vdenR2JnPAQNhX2VB9+SEYVtqMBoIo+X+9qiP9DRSZesE+9H+BqQ3JkWgWdOjoewoJJHD+2VkzAgE63itqry0LjXInGcT/17Voc4IXTwLayeOxMKRQ7B88iisnT4BTnOmwm/FPETbLUPo8gUIX7kAEQTxsNWL4DhjImYO6ItR3SwxrLsSuDqhJ4G1V5d2eS0BrGDWgCzBtj9Bd3R3SwOzwwizI7t2wXirzhjepZPZV/soYWyoRTvMzhtkhSk9rTCqqyXGcZ95A7tjcg8LTO/RBc6juiJpbg9sDxyOB7Mn4q3183F081y8XjMJH2yaguME2O9vnolT107GZxtH4/NNo/DlxuH4fv9EfH/dJPxw4yRcuH8eLj26CD/dNBGnd4/DN5vG4sMN0/HN7T44cV8cHqhYjXrXYShfOxgFy/ujdM0g8z538QAkz++L5CX9kLeKwOo6GAciRmKDRz/CbF+UL++J0kW9sN21L26PGI4b/Meieflo3JM0D4fqVuCNbY44ep03vrgvGoe3OuDQhsU4cq0NPrvNEe/ud8aJp9Px89EK/PBGAX47uwG//XwdfvvbuwTar/Db5W9w5eePcaAsEPeuC8GVH1/HpTMf4fzpTwi57+PiD4dx+dgtuPJRPX77NAtXPknCLx9E4NJL7rj05FrC+ypcftYJv/PzFZW1fcIRH+1egHeuWYlP7vTE0Tv88fxub9zR5IqbG3yxq9gbO3N8sS2LA0gOopS1r+SkdEKttJGLIoNQEhOEIoJVGaGvkP/PJXHBqOSAqpjvDRAS3BSOkOrrztWV+2jbYOQTItMDBcPcJoS2Qp7XBCV4Kc5cXknCLP9vBaW5BF8NGuU5lBdTHssKvhaE6Ph+3CcEJVwLCYRFISrI4IdEN1tkETwlJSZPcUmEtgvgIFPlt0NMoYQYx1VIcbflsQl8PGdtfKiZGi/jPqV8fmr4zDbx+atUoiSPUclrqlbb+LtkqjJ9HFGuRC/aGSVxKo40WyEEBMwqfr8lL5E2Iw6tqbRdtEuCWiW6ZXEwIO92qqcDwTqMYBqIWJdVBDtv2ixCerjiXjnQV9gCj5krrzaPX0lATKW9iHOx5vED20Gb7aridSleVbGo0m2V91khCQqrEEyrAmA1r0chDNn82+X5aCBLmPdTJUJH493NJoAqBMEUMqAtKyCY5/Oet+QkmFjoSPs1CLVfy3up2GTeZ95beYLraBtlu8o5+FYyXVUE7xOBuo5/dxVWkIRYGb9T0YR8c4/aPe1FHLDnqXAEB9qF/L4DZjuWjqVj+Vctfwmz69ODCW1eqIvyQFOcD5qT/Dn696Hx8kAFR9qVNJ5KWqiM4jYE3Q2pgdiaF4PtxQlYnxWBCtMB0HCys2pgJ1YeGYjiIE2DO5uEgsarMCrAbOTv6wmj0oRV5n4rwbU2isbRRzXRHU07VARA3luFCtTEhfAc8SajuFGeTYJyG41+rr8DIhyWIGDFbHY47ETiA830m6a7JPejCjqC53y+Su0gl9sojq0xJQr7K4pxc3URDhQmEB7lJXFEsutqRFkv5fEWwn/VQoSsWoSAhTMRZ7MYYavmmBK1oWuXwn36FESunId011WIc1gFh7nTMbnfACydMBrp7NTKY71RyOuWYHuW02qjKLAuMQDX52YSYFPY4SkkwA1tsew0glQEwh27OJhQOV4JoZeq7G1iELZnR2FHZgQ2cYDQEE7A53W1xnNNYMdM8C30d8P6eF9sT/XH3qIodrCBvPf+WJfGzpnHDFw+D8vGjcRytsuZEOu7dD68l85FhM1SUz0tgiAbtGQOEhxXInDFfCwYPgDjCZsKAVBiV89OAtJOUDWvvp06o1snwqy8rRZd0N/SAoP5qtjX8T0sMYTAOtKqC6YSTIdfVT6QAsJQfjeMx5rRzxJzBlhijKCX+0zp0wMLB/bEFO67aGA3hM7sh9LV/XFzwni82jwP721eiFdqpuPtdTNw4sb5+O7GOTi+dzLerx+C18v64b26QTi5dyy+PzAWJ/aMIuSOw893zcH5u2bjB373w96J+KptDD5ePxWf7lmN7x+KwtvXh2J37Azkr+iLTIJz9uLeKCK8lq0ZjIR5/RA6vTeSFvZBtWM/7AkbjJsTh6PNsS82ufTDxtXdcaN/X9wV2h8vFk/DA0njcVfCWNSt7YtrgkfjvT32+PLeQBzZYY23t67A13d54eLrCTj/ZhHOHW00klyXvl6PCyd34Mq5h9g5f4bfr3yJXy9+jV8vf46Xb07HR8/V4tJP7+LimU9x8ewXuHD2M1z4+Sgunn4Cv3yzF7+fbMXfvq3G75+m45dX/HHlkCd+e8GNAG+HX592xt9e5uennPDWhrl4vGYODl/jgjev9cXr1wfinkZnPLMjDrfVhODawiDszQ3mACkQzRwAKVErk3CaH+qHDH9fQg//3zjYrCM0ZWt2gqCnpE9p0xYRsCoJf3rNDPRCRiCfW4JmbgSfIQJgSoAnsoM8CMS+qKAtUBGDMsKRwgEEnzWCYhUPCBbw8jcCrGJoa+JCCUQKI/BGhp87B6kES38PJHtLt9QP+dw21dvJhEHk8pnO5Tk0RS6JKE271/N5EYxn87dIuxVIcF1r1BFUfldgqDjUwjB3lBEABcIR9suN7ZDmdB0HjSplXWbA0s5MqxcQ3gTCFYRSeS01A1QZ60eQjTXhEDXxBGiBLK+rkAPaOMe1hEc3ozzQmBzBtvkjmLYkl/enwniVJaOnmRXaPw5ApWWb6+dMWxdkPKf5wd5oSY/nADuagKwQAP5deGx5UVWCu5zPv9pUQVuqECR5SxWvWhsrKcFg2lsOCuSBJlBXx/nRhhAu2QZBdCWvv0TecB2Pg4ZytjGR0D1teH/MGDEIMRyUlMu7zjZJimtLBmE9SUl33sbDmivZtBDeD96fcvYBeQTr7EAnpHnZIsFtLTL4ey7tXQnbJ9BVDHJJkFcHzHYsHUvH8i9b/hJmFegvQ1RLQ9iSHGaSuKqVgMGRfA1H5CYRSV6MeBpHwqam2wWIFRGqKU6Dzs+KI2vLiEWdprDYWWV6uRivj6b/atjR6VilBNR6gq2mBgWjRj1A0+M6TogLjXz79FYzO5gGGn11tOmeBEOO/uvYOW4k0LZyf6N7yGOWsjNKcl3DTkzlOr0Isa4mvlehDjnslIrU2RDGKwiCSmxozYnFuvwkdhqRpj66qpdtSAnjsWm82ZnWJUQg0mYlMoOcUEKolPejkXBf4LMWZVHuyOIxI23WIMPLCQlOK5HgYYNMgrDj4hmYP3oQssKcsL0iGVsK2DHxPqo6kWTG6tieet6HKnaKkdbzCcL2RpFA117CjqE1gfeEcFvJbVTfXN7uRsK5asJLmqvQ354dhANaCK9NCQE89wqkGMFyR5NUpgz1EgEu32d6rEGs9SJ4LJiO1ZPHwHbWRHgsnokQmxWIYEcfT3hNdlqF6DWLEGu7FMEEWZupYzF32ABMGdgLI7u2J3z1JozKwyoo7S/PrIFbgizfD+Z3wwmpE7p2wRirzoTZThjTzQKzexNW+X4koXV0V0sM43ttJ5id3s8CQwnAQ3n8CQTmuX26YjZX6+E9ETurF3YEjMJTpbNwdNMCvFY9BW82TMfxa5fi3APL8e010/Fu1SC8XtgLH7YMw9fbx+D7/RPw5aYh+HzjEJy8ZhxOXzsFp3aPxblbJuOnfVPx9YYJeLdxAt7ZNA+f3eaNUy/k4J1b4nEgZQFyl/RG4rweyFzSh2t/pCwagKAZfRA6qyfyVvfGvogRuD1xFG6NG4GWVd1wbUAfPJE6EM9lD8XrFZPw/T22OH77KrxYPgOP507D49nTcHvoGHx5mw9+fT8f+KQcP7+ajvMf1OPyyX24/MNtuHT2AVz+6TmjYvDLpU/xy4WjuPTzB+ysj+H4y/U4/emNuHzxC1z86Wuux3Dx3Je4dOFjXPrxOZz/Yg8uflyDX97OxIUXA3DuIQf8/Jg9Lj5mi1+edMT5+1biyrNuuPyoI16pm47rUybg2U1OOLTLA29cH4aHWn1wZ6M/7m+NxP5if1xTGIJd2eF81vkc8f8/j89JNgGkNCoC6X4KHVAsaxCy/ByQpxCfjHg0pScQcCNQzf/rWv6/5gb5GE9ua04SCuRVjQg00l6pXh78ngDF50lyeAI5vUpqKz/EF8Xcp5gAl0ubIt3aSsJsHQGrLDwAWT6EIUJYXqgPIp2t4bdmOTL9OKhNjEAVz1lEwEpX9Tw3e2Njqri/Ss6aqX+2TXG1ab6uHHguMXJiJQS+0hAvPmNuxmZV0q6E2C6H9fQxCLNZSDvhbeT0BO7lBEBJ+clDKkkwqRWYBDLaPcX5mhhefl/E99KpVhiFYkwVrqDp9pxAAWmSCV1QEliWtyttnAeh1RXSs66LJpQT/MqVpMZ98gh/ebS5gvMCXm9zUiy2ZWRhU2Y6zyFFFQ4QFErEe9Wakcj7RAgO5d+I+ytUqiBIHtwIni8S5bwP1YrHJeQL7hXeUaBQCgJoCwcm6zLjjOe7kttU0tYpVnr+2OGYOqw/ItztUM37r+qIsuPVhGKFETTSPrZJiosDCZX1VkKYzp3mZc9BuwOPzwEQt1dMbjn/LkpIU/y+HAn5vOYOmO1YOpaO5V+1/CXMKgRAWoOadmtIiqJBD+FrOLbnJuOaogwzzS95qsZkgmRaBHKDCY40xkrUUuKCNFiVGKGOQNNzqkyjRI5qdi7yjEgXUhCqpKsSeXm5FhKGi8PckO1nS/BdY4oiKMu6jN+pdrhKX8prkqeiBmHuaE0NMxWBWhMlpO7BTqxd8FyJDBuyY7EpW1nUSt5gR8OOrZYGvZYAWxLswt8isYUgu6U0nR1zDCHQE1kePBevYUsmjyFDrynL+AgTLytP8qbsBOwoSMPu3Fi0EJC35cXxO3bqKdHYyg68lbApb6jiiTNpxH1XzENdShBuay3C5pwYk5SmbGyJnksWJ99X8cLWyPRUxq/Eyl2MfE6m22pTVKGE16k67pp+VbZ2W2oU1vFeqyZ9pMNCdhACYHYcoW48zkqkcr8MT3uTRJLkupadvB2SnZcjfPksBC6cDu8F0+A8ZyJc5k+C7/J5iCEcJDgrpGIxQpbOQfByrmyz46zJWDxmOKYPkeJBN8Jre3JXTwKrSteqmpfK0ppqXvysxLCRBNgJ3S0wsVtnjLXqhBGWnTCxhwVm9uZnvh9HsB3LdWgXgm3XTpjE70d3b4dilbodz/ez+1hges8uWDvMEjnL++GO1Cl4IGM0XqociyONk/DJjlkmVvabA7Pxfv1ovFEyEEeqBuD43okE2Sn4Yt1ovFPZD19uHo6Te8fh1P7JOLV3PH68eQp+vnkWvts1GUcqhuHDrbNxdNcqHH84Bj+/1YivHi7CDenLUWU3HDkL+yJjQT9kLx6EqDkDET6nP/LXDMDe0JG4N2U8Hs4Zj1sihmKLXU/cFtoPT2eNwtPZI/AE1zeap+LUg54481gAfnw6BqceC8GZ56Jw9tUU/Ha8CadfKcQP79bjwrfX4m+/HMLvf/sYv//2DX69cgqXLxzHlV9O4MrFz/Hrb5/i3u0peOPhWn5/FOflkT37KS78+CFh9z3C7NP45fg+/PJ5Fa4cScWvb4bh0kveuPCUAy48uAZnbp+P07fOxeXnnPH7iz74fO9q3JA0BQ83O+DVnZ54da8fHmrxxPVl7rixwh97iqW+EYRdeWHYlBVlvIgFBNZMfxeURAWjlhCjaedaDkoVJ5pBMGnNSUYDwUaDSnlapaUsQC0K5zOQnkhoDDJrcWQIgVUe2UDkhPibpCgllinGtSCcgMjvUn3ckR8ejEzaEEFwbWI0GpIjjbdTygpFYQo38DNqCnFuToRsPj/x4QbECtlOU91KA+wIJZPJbnGQTEguV6yswhYIvQIuXw7gVB461RQmsTZJXOneDohxWI3AlUvZXh/aOIVB+CPH39Wog5h4W9oBxbmWse0KVVAYhNQG0gisiq+VbrXaoGRQzQZJMkyFHao0IBbkJkWbhK5sf0lv+SJPiWL+zkZNRcCsEIcK2oUyHjuX9yaNz3yShwNSeXzd08bEKF6Xj4n1LQz2JtQqTCKI7eT95uC4SB5aA9WK8w8kMEtKzJf3MYz2loMQtldKCwJhQbixZbmJRj1C3lzdo3LazGTa7CC71Ugi/DdnxhrPeJqHPWLsViGA9iLdU0UlNJvmZZwckgWTxq7CIORpz+PAPoO2rJx/V/Uf6R7WSHJfY+53BmG3A2Y7lo6lY/lXLX8Js/WENekWVtHYVhC+CtiBKTxACU431WWhJZ0dW4QXKmLY+XCkX07YLQhqL78oqRdJtcjIqfMrj/ZFS1okwZfGlZ1eNQ2oVAaaCae18tDS8Kn2t5I1BLZxDkvMVH4uO6CSEHcTD6YCBFIlqE+UlI8PoVUemPaa4C2pEahLVMYu4ToxCI1JwVifE4e2rGTjidF0nJK/tvA7FWBoSQnkyg4y0NlIb7VlRqI5IdBU9NmeFoi76lLM1L3kfTRdGEfoi3exZeemJLJok3hVQ3huSvTH9oIY7KvJxb7yXKznuduSlJAWZrRj6wjzO0tTcE9rCfaVJBJ4Y7AxNw41ymQWIPC+ptLgq7hBW3p0e7UeH3lWnVEewk4hyJHtIPinhprOrJqdSy07VcXtFnjbo4J/n0bek3K2szpSYu1OpjPWVGi0jUrXrkGc9WIk2C00hRLi7BcjdO18BKycaWJki/wDkOxig8g1C5HhshoJjkvhu3QmVk4ajWmD+2HakD4Y3bObSexSla9eBFHJcSnuVQlgkthSqdoRPSwNmE7tbYnpXCd064JxXbtgSo8umNmrCyYTcKf2tCLsWmIwjzOuR2eM4/aDTSztVZjt2hlz+lpgMkHXe3J31LsMwf7wYXiyYDTebBmP9zdMwEfbpuDjTZNxtHk0XskfRDAdjG+vmYzT103DJy1j8Hxyb7xVMRDHd47Bj9dPxpkbJvG3sdxmFM7fPhc/HpiGd4r745ONU/HRjqX4YK8DTj2ejs/vycC9jV7YGz8ftS4jkLNqEKF2AAIm90bIjH5IWtIfuyLH4f7s6bgzeRKuCx2Kh2NH4Sa//nggZjAezRiGw/Xj8d6GaXh/7yJ8sH8FTj4WiFPPR+DT+7zxFaH2yhdVuPz1Dlz6Zg9+PX0jrpx5GBd+OojfLn2J3y6f4+sPfD2Fv135DB8cvg1OC6Yi1mUevv/oZpw/+TTOn34LF394AxfPHMTFb+/FxS+34vKHxTj7QgwuvR6M347449fXvPHryy74+dEVOHXrTPxw1yL89oIPvr3VGbdlTMOtJStwcLc3XtnjjYfaXLEr3w7b89ywNY/PZ5IHB6oB2JpFAAvzRH6QC7IIVbmB3gh3XsABmLfRoK1NCmmfilflPj47mtrXFHYpwaaFz5ESugS3hWEcNEYRpGLDuT1tQ0QoEjzdkEhAk/dV6gg5YT5GmivR0xkZHOjmaepcU+FcpTggvVpBtGJL9Vnas/LuVsSGGljL9JEWsyuBUZJ4oQb28gI8OJDmwNrXhzZF2rAhRgqshG1M9bXnIJPgTNukan2JfLal/lFMIFMimTRlFV5QTbiU/TKVvCL8Ccn8jtdSHs5rZTsUd1rCNT+I+xFmlXglqJNHtp62R5/lBBAUJ7msJWQS+AmUCpXIIZArgc3E3nKwmiNvZijtLIG7hrYlX/GzhMo8DqAVopRL+yeZwGLaCpXc1nFU5CXDx4XA7Uaw1fW6GJCVbFoZAV9Jc+UchFRGhxBWpV5AGyFo5f0s5zYVvIYthFlVOZMaQYtK7xJOpeNbzmtX+VkNTqpjIwmwTghZuZgDGzeTnKbZLnlcM73tzGAgwnYx20ro1j1gG00IF69PxVqUm6ASx/obZbGNHTDbsXQsHcu/avlLmN1A4NuYHooN7LDUuTXT0CkBrEEeyfxoA4S1fK8pOYmjK0FKVbUKaGQVgiCt2WQnG+MxkMyVMv/bTNJVsCl+YECUkKuEhiZ2UirVqvhZ1YrP9l2LfD9bc866KGXSupvQheZkQqoKKGSGY2dJMprTIwl5HlClr00C0pQQHleejGCTxFGdGI4iGlgpEjQmBJkpelUt25IVyjXEVBHbXpSIvRVpBkBb471wTXog7q9Lxc7cKHYU7kjzouGmIc7gaxUhVrXWVQKynL8VssMvJ9S2ZEWhnp14OdvZwE5hS1kcNubLixuPPUXxuKYsCXuL4nBtZTL2VaVja2kadpSk8pyRJrSgwH85thamYh3vUzM7tfWpPJ4qjwU5Y0dGNBrYCaUow9nT3kxJ1sfwb8HBQ66bPYo5yFCoQoMBe2+oaEQN4TjWdjkkWK5Sv22JBIMwR3Yqdsjzd0Ci03JkEqLLAvwQbb0MqU6rkOdli/BV8+A6bzLmjxiEKQP7YGzvHv+mD2sloCW89rVsVzNQIpgqew2z6oxRPaRgQBgdYIWZfawwiaA6oTtBtrcF5vSxMB7X2f26EXItMIL7jelugaHcry+P90fYwuSe8sp2xuxeFoid1x85i7sRZgfjtYZJeLNpLN7bOBFvNo7BweIhOFwxHC9kD8JHG8bhzK1z8PXOCXgmsSeeieuFT9ePwfk75+L8LdPx3f4xOHXdSPx48zicu3Uqvt02Am8V98PBosF4vXkW3tvniM/ujsL99S5Yl2vLe7UMpUGLCG9T4DqtP5YN7wGbkVZwGWuF6AW9UWDdH+u8RmGL53DclzAZ98SMxb0xQ/BYzkh8sH0GPtk1E+/vnI+3ty7C5zc64dwrSQTaJHzzRALOvJqNX77Zh9/P3IbfvruW6z5cPrENv5y+DX+79AV+v/QVrlz6DD+fehXVmWHo070HRg/tRThZhc9f3oqfT76Aiyefx4Xj9xKID+DK1xvwt0+K8PMT/jjzoC0uPGmDS8/Z4deXnPHbYU/8+qoHLj7rgNO3LsAP97nioYpF2BA9E09u88TLe/zw9DZfXFvhxOfJFg0J9gQ+F9QkqlLTWj7Dq5HhvRrhaxcges0SrJ40BL5LZiLMegFC7Zcg0nkZ0v35vxfpSQAKMLHxJmQnk/97fPayglyRzYFWMoExj89nvOJOQwOQ4OXC1Qn5hCklg2UQLPMIi7mSpCIsCzJTCXip/o4GPAulJkJIKiaIZnNAWpkUjqrkSAPISgDTAE/2pYzHE9AqllXT+QK42hhuRwgVYGoQXMHnQDJaDQqLoI0opq1RzH4Fz1tNO6QytNl8NnIDHWkzBLdsG0FVsaW18bRfmp2KDSFEexPc/QmyAjV3ZHsrDIrfhbRDqkke4/MpmyMAT1KSGp/RyhgpnxA8A9xMSEJeoCfh0AEZPI/XktmIcVptYo8zXOTZ5MCB51BYgJQaBNmSJDMeaNrJ3AB+T5DO9qP94XZZhHrF4uYQ3kvjaK/ltY4JR2GIKptxcBsRRFsrFYlQSB+2LMwXrSkRtMMBHBz78/pUWYwQzPNKr7uS20pmTN7cDJXf5aBG4RqK062lncnlgDvLy86cN3jVAsI472VKOO+n+ogg2ik7FLFtKhessCyBtP4+HTDbsXQsHcu/avlLmG2N9yH4SWEgFG0JgdiWEYntXPcS0NYTKmvC3QmgHoTIcKwnSMogNhvvZyJ2l2RgU0YsoValaoMJvmEEMH9CZxC2FiRif3m20UktDXWHSkKuU8ydkgto2OtiCWtxnnz1NOUoGwi/NTTkSjJT+dp1GRG4vjEPD++px5Y8lVLUPuykpGtLYywR8nXJUWhix2f0HwmfVbGB2JAVgw2ZShhj5xbuik2E190lidhWkoL1eXEm8WWdvLINGbirNg1bCb0VKrbAjlR6mIrBU6GENnbCzWqPvDZRPiZTV7I4O4qTsJ4dRIG/J2ql/2qKQIQZKG7l9e0sTMZtTXm4vbWYcEuYzY3G/sIY7OPaHO+P7cWpaMvkPWPnJE+JCi9UE2jX8b0pOSkPVLgntufG4fqKHGzhtqUcONQRBv4oAdzGQYVUGhpi2bYwgjXvbavuWUq7t3hrfhSPq7Z78h54oNjfFZluNsj3tke89VIELp0D68mjMWtQP4zv1QODCbKS07LsbIHOhFCrTp3RmwDbnfDZ08ICgy2lKWuBcQTRyb27YMEgK8yWd5UwO4lwO7svgbZnJ8wfYIl5A7phXFcLjOY+ku1q16q1MJ5dqRtMJwQLhFUNLGRGb5Su7on7ssbitfqJeL1+PKF2LJ7NG4iXCgbh5aIBeLNqBI7vm46v90zBody+eDKhJ96tGoIfb5yNXx5YiFO7R+LbXUNx6sBwnL99HM4eGI2v1g3Bi5k98VhGP7yzdSE+vd4Vhwl2OdYTELhwAoLnjUGe22LeZxtUBi9FrtccFAbMQ0PkPFT5jEPBykGotR2I6mXdsdd7MGoX90Lb6h54e+NK/PigA14hbL/WNAlf3+6Igy08/l0++OqRKBx7OBE/HizApQ9aCLWVOHOoFL99vZcgex0un70Dv/72Hi6dfRFfvHc3HOePR/ce3dBJmrzdumHS0H64sS0Fpz99AD9+fDsuf74Xv3/ejCsfFOHCwTCcf8wZp29fiG8OTMGJ66bh22un4sy9S3HlFT/87c1AnH9wNU7ftQbPNCxBscs4PsPL8NB6dzy93Q83VjujOGgWUhynI92dkLp2LnzmTETQwokIWz4VsWtmIWDBRPgsHAf/xRMJt9Pgs3gCoXYabKcOwdoJw+E8azzCVi/gIImDPf7f6X+/IjEUuQTCDA6msvl8JBN8Erwd+L4dztIJQ9KoTSDkxrnaG/kqTXOnE5ri3a2NN1KVxQR98tJqSj2XACbwzSFMJnm6mtADxbVLP1Ye2JIwfwN6NSrcIGjje8WxxxMSs6SlGuxM0HU1MZ3ZhEvFBGuGRIVeCni+Ug4E5aHV7wLWEhM64M19VTBBg+8IwjLbQGiUdqzxzEqBIUyFVgh+bIOqiFUTIqXzmu0ltRNnk6iWQzBUeEA526+yroUEyprYYNoNxbWGINphJdyXzDKhWjUaFLMtSgyTMoDks8pjVQiCIC/vMMFQgC0NXc04KWxAFdgKgnyQyfMW8r0UClToItXHFWlcc/w9UJ0gp0MUoTKUx+CAn8cT1Kryoa5lfQptI+2b8hIqImm/UmNRy/MJZtNoI1rS+DsH2qoEprLfRcFuPI6UbFxNboQG+hmua0wxCM3iKTwq2dnagLCuQ4OKDpjtWDqWjuVftfx1mEG0Fzamh2FjZoQBqiaC0SaOvrcRCrfmxmB/WZKJDa2JlgC6Eg+8sSk7DvvKCbLZ8QZAa0zMKcGMnZuSqhRWoLjRRsJxW3IgaiK9CFlR2FtIEEwNNbGsNQTIeoUREMKkAatCAqpXrlACxejKq7s1n0DXmIM9lWloSw8xHmJ5deUdlWZrU3wY9wtBG0FW0/mmljvbXxkvXUcnxDmvQJaPrZlOrCYIlhBMawjR2wvDcWdzFu6uT8feHHZMbEtBiCsNsR+a2QYT4xZKgBRYJwWhntdUpu/Yrm2lqab8rkBUXgjFoUnQfGN+MrbmpWNPWRZuaynGY7taeY4c7MqLwr5K3qu8ZBRHhSKDHYvNktmYP3kkopxWmHu5OZvtj2NnHkrAT+C1pUfh2rJE4+VdT9itZCfazGtoTQ7B5qxIUwpY91RFFzanhKCZgJAnKTBfW97fIIJMGJr4d2pQmAShOd3Vhp2VHeLtVyF4xSL4L5+PZRNHY0Lf3hjStYcpciDFAovOXdDlKsz2lKZsZ4UbWGBYNytTIGFiL0tMI8QuGtINc/tbYIJVJxM7O7tvZ8zq1QkLB1oSVC0xghA70soSA3iMXgpb4PGUODbi32C2K+b1s0Lcgj7YHjAYTxSOx6HaqXilajLuTRiMu6P74rnsAXirdjg+3jgBH7aOw2vFg/Fybn980Dgcp/cR5A5MxfnbZuHkjhE4dc1I/HjdSFy8Yzx+3DsKn9YPwKv5/fFMzhC8v2UePttjjWfr1qLEfgw8Zg/BouF9sHL0MDjMGIu1U/rDfs5gxDlMQ13ofNxetBoPV6zBYyXzcU3AQNwQOgQPErbvSh2DR/Mn4Ngt1vhk7xI8Xz4W7+5cjM9v98THt/vh+BNp+O6VEpw+WIQfDubh+APhOPFoPC5/sAE/frALp96+Fp++vg83rc/EhH690ZX3uwsHEZ15jzpbdkWfHl1RkeyCbz+4BWc/uxHnjzbi0ivpuPB0AH642wY/3rMWZ+9YiC+3jcWHbaPwSdsYfLZ5HE7fthi/vOCAy0+sxQ93LMMnB+zREjoD2S4TcFutI57e6oe7Gz3RGLsEFYELUOK3EKm2M5DuMANJayYj12UWSrznI91uOnI9FiKba0nwcpT4L0V14ELekyUo81uEIu/FSLaeiZClExGwaCISnJaYONQsgmO6NyGSA7DiCE8DtMUR8lgGINHVGskcQKX7uSDVzxnhtiuQSQjK4OAqh6BXEqVp8iACqy/BUlX7wlBI4MoluGUSnnKVmBbJwbAUEAIUby+dWskEcuCdmUBoi0CmvJpBHshUGwh9OSp8QgjT7FGW9GPl8VSogr+L8ZiqIEJxCD97qwqXG3ICPaBqaGkE7bxgxbYGG0+lvLWJbnbI8ifMGYj0QKKLjYmfrYoONSCoY9VEBaOM16tQhFqCpJQDVIwgy1PQ316FTPAsoFWSaSbBOJ/Xp0RUFW5QiJZ0dYt5rHICaHOqEraCzf2QgkO25BAF3ITkEoJ9WXiwAVfFIRfwuuQlFhynsv1qawVBVBXaFINcGOpnwLtYAwDFIwfSzvH8UlUQ4BYF+JmcCONxDlUyrwvtL20d3xfzXqYRWlOdlpvfsr1teV0que0PVfoqCFBpXi9eQ7uUWaaXI3L9nNg+jw6Y7Vg6lo7lX7b8JcxKV1bwqXCABgKkwgBK5VnxdaVhJ/gVxGBHQTR/pzENdyVsEVyTaHSTw1DH/eSpFZCpRnhTYgRBK9R4Z1XIoCJcXkMv1BGYN2WEY39pErblRBNU/bBBhQvSIwi/ocZASjOyNTWaxjWC24eYGuRVUUok80BDgh/WpYWgNT0czWkRRt5rZ0EK2lL4Pi0S61Lb9WgV8iB5q3QvWwSsXQRPFQhYNg8RdmvZyTog2cMOkhjbmB2Ku5pz8XBrNm4uSSCIq3KRHxrTorA+J9HAsqBdFYwaCLMCXHl+NxSlY3dNPjYQPhXT20TDL/BuTo7Cuky2JzOZ71UvPR77q7Kxl0DayO00Lei1ehUWTpuO6ePGYmjf/uhrZYUZYwZjR0kKdpemYH0KwT+e9yU9FDtyuD/v1e7CKGxOC0BLrC/aCLnbshIIuGlYn8CONIjw7e+IhggvFPs5Is56KaJXLzTlczcl+iHHbRUyPO2Q5GiLJIe1SGPHHGmzDP4rF2HNjEmYMLA/Bnfvgd4WXQmvXWBJ4BTIau3K990JWQozUIjBiO6WGE2YndxbpWitsGhoN8witI616mxCDeb07YJ5fToTULuYz5L3GszrU+GEHjyWgFZe2lH8fhpBdnovK8zncfLXDML+8JF4qmw67ksdj+uDhuCAX3/cGtoHH66bhCP1Y3GkdiSezeiP59L740j1UHyzbRxO7CS0HpiGbzaNwjcbh+OH/WPw843jcPn2iTi7dyy+Wj8SrxQOxctl43CoegoOty3Ei61rcCBlKQLnjcRwqS307oORAwZgRF8rTBvaG/NG9ceCEb3gNnMISlwm4vacBbgpfjxuCR+Eg7WTcLB5Jh4rGIPnK8fgw11L8EbrLBzZshDfPEjYfDUJn98dhGMPx+LD26Jw8ukcsx57Jgcfv1SCB7anIMV1OXwXT8bInt1hwfuhe96N9954w7tYoisHDfE+i/Hhoc049f4eXHinGpeej8LFpzzww/2rcebOpTh35zx8u2cCvtw8CV/tmIKvto/HF1sn4Ow9S3HhERt8f8NyHN2yHJujZiF85Ui0xC3BE1sD8ECbD/bkOXCQY4Md6dZojVrGwc4y1PjPR1PIAq4LURuwAFUBi1Hqu4SDp6UcIK1FfdACbIxbjk1xq7A9yQbrwpahOmApAXgu0hxmIcFmNmLt5iPabgmh0dV4bAvDPEzil4oQxNotRpzbGqSruhWhV89gKqEz2dOev9POREcYAEsl+GUQEssjQwlwyvKXwoK8lT7IJWxK+D/Ty4kQ5YksX+nUBhIMCY6EwlTFdRKksrhKweSPylUqfKBiCEWKWeUxcglchbRrCk/I8eVvPE5egA8yfNwRtnYFEjxtkerjZFRLMn2deI52UMyRRBnBMtvXGQmE2QQ3B8J7e1tq4wiC0Zq29+fvruazZLiUbKVE00JCeBGvU+VrNRDemBGL+mS1W2FWfgRKhT4odleKCsGoiqf9yUqlzYgxMCpIFYQXsS3S6C3lNtUxUQa6BfoF/D2DbdbAII/HKuRaSTtYSNuZr5AODQLkJWb7FIZQEsLv/d05WCeQKubYl6DPgUUeQViyWvJsK+ZYsbm5vMZs/p2i1y4hcBPsXVYi2nYZ7WQg2+bF63WkneU9599ASavyHEt2sIR/tw6Y7Vg6lo7lX7X8Jcw2JrRDoyk4QBgs54i9TNNsNM45vg6ojfY0CVCCukqCbHGML1IIhRG2K1CkGC8asdbESGzOIMjFR6M5IYwGWVAagKpId9RHeRKGY7AlK5xgFoymWB+UscNZLyglhEqaqiEuBNKprYoLNvI2dUr+UJwcjWY5R/q5hLaySA+UE4Jrk0NNrNp6AuWmbEG2P9ut6j6BPGcg6pMCofrlJYR0Td0pFjbeyZqdAjswdqolEZ5oywjFva0luK8lG3c3ZmFPcRKak8JQmxSOlky2NT+J16D4WD/jMW2IDeY1ZGIDAXp7SRp2FKeY5LMadkiqvtPC9tcSwBtS5OWVB1nZzQHsINcYD+j04UMxtn9/jBs4BGMHDcGogYMwuHdvDO/RHTHcppmgviGNQB/jwnvpgbZYP7QlBfB+BWJPNn8jnK7n9W3mPVOxiXXxHFDwb1bsZ48c91XIdl+NdNc1iLNZgjyvtdyev0f7GT3L8NVL4L94LkF2BcIIvDYE2WnDBmFgt67oY9UVPSysYEWYsiDEarUkZMkz2+0qhA4izI7sbmHK107s1R4vO2dQV0wktI7r1hlTenbGXELs4sGWJvRAlcCUONaniwV6dbY0kl79eNwR3H8U1wm9LLmvBRYPsEDeqgHYGzUOB6LHIX1eN+Qv6IqbIwiPVeMIsuPxcMpQvFQ6Ck9nDsTr5UNwuHIw3q0bhC82j8FnzcPxTnFfnCK8nrtxAn66bix+uXMGfrh2Gj5qGYMnMwfjxeppuIvHeKx8Bu4tnYstETPhNmkQ+rF9XeQRvQrwVhYW6Mq1u0VnDLKygNOkgah1GoN1bkOxwaEbdrh0w41R/XFH8iA8XzwKB6sn40jrHLy1YRFOPeyLM89H4/nGJXhrlz0+vzUUp1+qwKdPVWJ/QwRiPRdg3JB+ZnAwmPe5fydL3uNOBFkrjB46HLMnjUCnTha895awmTcKhx4swIm323DmYA7OPRmIc4+74dwTzvju9qX47rrp+PHGmbh450qcv3OxUXH4fN1ofL1zGo5fMxs/3Lgch+vnYXvUdA5sRiPVbhLubPTEC3uicHOVJ3Zm2WJPpjV2pq3B9lSuKVwTl+NAjjXWRy3ErkwbbIhZjbaYVbix1JP/e3bYl2+P/Xl2uD7fEfuzHbAl0RrrolehJXIF/09tUB26gtCzGBluS5DtvRbZAfYm7EAJT3FOK5HibYc0fyck+djzvSPyaDPSCYsZhMkUb3ckEpgUR5roboPSUGXtSyvakxDZXnVMXlwNQrMFWITCdG+++itb35fv2wEz3sEaWXwvVRZl4KuKlhK1BI3Su5XnU3JbChPIkQfTx5m2izAdEczjeiDV3REqLiDlAgGhZLBU/Utls4vCdC7CtQ/Bjb9l+nkgwdXWgLHCHTIIffIsC1iNPeR3Cn9oTU404CiJLsGzYFQhB0oIkyRXhre9gWYVUiinzRD0SoJrQ2YCB+/hBuBTPB0I4m6mepn0fctiggmmASbMQBq8Om+apwBcKjIBJjmrhjasMDKA907xx4Rx7qvkuuaUWNrJIEKsN/LYJt0Tea8F5dk+7YloijVW+dsc3mOtpSHebL8bYZbbczCSwUFHdXw44TuI95uDEnd787eR0oUKzeQRrFUlrANmO5aOpWP5Vy1/CbOSvsqRpiRXU11GYQOExQbCpapxNRF2lbHakhJukj5UEaiEI/4KGlKFFlTSGNdFBmNbVhK2ZCYaQN1XloL9Vcl4eHsN3nn4GuPJrIthBxPogHxvG5iys7EBqKYBrqeBr+F7xbvKy9GSmkgYDEMFjbfK5Sr2LNHRlp2fEw24J1R7XIkdmwuTsI1QKbkbSeBURPkSCsPQkByCrfnx2FOeifWE0upEyQ0FoSI+gh1CgJGOacmIwuNbm7GvJAEHKlKxtzwLMY4rMHlQN6yaPIxw74lrKzKwo1ByYARrGvgbagqxrTDDhBTc2FiIPWUZUK3zJhr2DYRYlYOsUrwaz1PB64pzWoOl48diULceGNqnD4b27Y0xgwbwfT9C7UDMGTMGs0YOx4rJExHluMqUoy31tUZLIgcHyYoLdkVLtBd2Z7CDU3lhXl8rYb6R4L41IxLrk0JRHeGNylA3wrafqaee7WWLXIVVhLmhPNAFma5rEWm9yGQkp3o5wW/1YiwcOwJj+vdE/26W6G1pSYCzgiVBypIwZ0nIs+JqSbgScKl4gmB2WFcLDJXMFsF1Rj/FzVoYWa4JhNnJXTtjZu8umE3IlUTXwKvJXvLq9iG89SXEDeSxVV1sOGFxdNcuJs52+RArZKwZhnLXUQid3gPeIzqj3LoXHisYiydzRuAa3544VD0GH26ZhLdqRuJg0RA8ndELBwv740jNELxZPhAndo/DqWtH4cTWATizdyS+2zMeJ/dNxTs14/B8wSi8vX0RjmxfjEdKxmBfwkikLB8AxxE9Ma5nN5Po1onX9/e1/XMPKysMZVt9x3bFVueBuD5oELa6d8Me/264JbYPHk3sgyO1E/DdgUV4o24Mjl2zAMdvccGLTYtxZIcbjlwbh71tQVg2dQKhuRchlkDP6186YSwhwxZ+sybDduBQtASH45snXsRnjz2E2KW2WDRiItwXzsWD12Tjm1cr8MPLGfjhUW98f/sanLxhCYF1IT7bOhkndk3EuVsX4OJt83HhzgX4bu8MvFM7Eq8Q+o/tmIuXyqah3JHHj5yHyGVD+Vyuxsv74vDIpiAcKHHETWXOuLPCBTcVO+OWSnfcVOSE28pccGOhPe6s9sJ1uU7Ymria/3e2uLXSDfc3++DWMkfcVeGKhxr9cGuxG24scMUNee7c1g03FXhgf4471iUQdELXIMdrGWLt5xJqbQlZ9ibZKiOAMOtpawoxKPkrxcsBiVoJR+kEq2jn1UaEX3CXHejMZ9SRqzOByxs5tAFpBKcsDswErBleBFF97+dmPIPJbjYEOulWC8wIjtyvkOdREpUpgkAQq6Y9U1EAJSoJaAv5mxKrCngcE3qgmF1CqGBW9sQkYBm1BT/jmdXxBcrSc80O9CJAcxBJoFSIgqptFcpD6u3KZ8zRlKdV7KvgNUOeaDdbKFGtJiHGhDPoHALqWPtViLBeRTAlLHJbHUf62KogJumrJJfVCFg2H/G8vjwDpEFsE7dje/QsZxBAjbIBoVbKB5oVUxJstSowFqYil99lBHiiiNcg29oYH2LuURbvr2KVpSEsqFZhBx1H3usstkGyi1IpUJKdlB7UViWCVfI4edw+N4CgLyD35d+Ef69El7Wm3ZIty/dT+Jh/B8z+Ty5v3nIedtsv4durnzuWjqVj+evlL2FWFW7yA2jgfOyR72uPChl/Gq4WwtLegkQawQAaKWdTWEEe0aqEQNTHhZgpM03vFwa4meoz6wl5LQTNGoJgZZQLwdQTTanBuL4xhZDsgkS7hcjwWG2guY7HbCAkVtEAKjZWcamVMfL+hhNmY9n5ENRogJV0kesjhQMBNreJkmRXsJmqu2NTFW7dWI0mtkMeBYl6K8xAyWcbCc8tBL7mrFjUp8WgMT0GrbkpRiYoZPVcZPnYYE9xHLYVxKIlXZAehqBVi4xUlfPcqSaDd1Mmry8tHM1JIYRuP4KyPBLBRnpGySM1PI/KV9byO90PJahUsSNq99j4Is3dFo5zpmP28GGYOXIoxhBmR/bohnF9+8B+zlSEWC8xHmdpNCorOMdrLYp8rDl4UHWmCJRHcmDBeykZsHUcNGxKjcJ6XlMTr13wrwFGJa+5UTJlvJ8VkdKXdOa9IvCzU8smyKYS0IsItbXRgQYO7OdOwaxhAzBpcD+MGdAXg3r0IGh1bYdXQucfMKvYWXlnFTM70MoCA1QMgdA6kTArEB1PsB0jmO3eGdP4nWB2Ss/2ogmDunAfQqGKL8gD2o8gN8TKEiMJiCMJs2MExd07YdHALgia0x++U3pj7eAuyFvRC7eljsS1Yf2xy607Hkobis82T8LhmjF4PHUgHknoi9crVQVsoAk3eL9pBL7YPARfrO+DH/cOw6mdo/Dt3nE4tn0KHk0YgOeKxuK7Ox3wYv0MPF4+EfsSxyJwancUWI/A4iE90fUfQPbvaxeuunbp6UZO6oEW2wFY794fO0P6Yk9wTzyS0g+H68eZRLWXKobh3e1zcXjPWtxQsRL5IQuxYOII9LPqYo4/fGAvuCyZTIixxmO76nHp5LN4blszobAOJ999A5cvXcavv1/Edx++gveeuBmHbl2Pp7el4r0bo/DN7c744X47/HTvWpx7aCV+uHMpvt43DZ9vGYt3awfis9aR+GbbJJzcOxNfbZuDOyMG4om8MXiieDqSlg9BuvMElPpMRmvsAjyxIQSHCLT3t/ri9moXPNTkgYcIqQ+v8+dvgXiwwQt3Vbni/gZvPNwciDsrPXBziQtuq3DGE5sC8eSmADzS7I3765zwxPpgPLM5Eo+1RuDucj883hpFOOZgr8gNN5f5YG+2GzYmS13DjvC42nhsc/2sTWJWXpCbCUHIpM3ICHQ1sbFF4X4m+SpN8lSEr1QCYLy7DeJcbRDpxEEs4S2DQKVZFcXFShkgj/tLZUCSVaYKFbcpDfHh/zohlXBYEsLjEl5zuV1hiGacCHRcy+Vx5TMj+SsTS6twKj7LBaGSC9RvsiM+JgZUz7nCGBSmkKk4WcJtOQGxhGthqD+yBbNsr4C2nnarOi7chEukeBLgeW2SGVOxhnR+lpdZntQMti1PCgW+3NfbjYNPfWY7AjxoL+z4jDrx3ARjHief90pJVal8bttjY+Ul9jbtVWhGjJ0Nkjw4wA9TaAfBk+2Ld7HhYMEXdVlxKKAtyuH1KXyrSclmvA8KbZCCgxwDgvlkdw4CeI0qpas4XiXoyRus+ysPt+J5BcCyrbW0N9pWoQ2y26r6pYQv6e+qwI0GDMVss+Jt//eG2Su4b/v/CB4vY0vjeWQ8fuXq53/90gGzHUvH8l9f/jpmNtYHtTFeKApwQJb7KhT72qImzB3NBKR9hcloSQhBrjeNXoCLgUXpFDbGBaBO02kc3VcQugRMqhRTEULj6m9Do2aDDMJZgt0SVIfacqTviEwfjuCDnGkQNc0fibZ0ZdyHmGn8ttRQAmisiU1VKUmpE6icrTwkAsbWtFgTE1ulBC4aZGk8Ssd1Y0ESGuQxli4toVjVxmoEeexIpLUoSK1Q2IKSw2jskzzs4L9sBiJWzUWy7RJUEIIV/yVPTX6Aq5meLGFnYKBYouE05jq2EiZUxEFTaersctmRSch8U0EyzxNisp8VplCvLGRuo2S2WkJpJu9bKCHZf9lsuC+YhrWTxsFn8Tx2Fk6oi/PE1sxgrEsOwIaMUKxPI8QmeBFQ3dn5+hr5reJAR9RGePJvojg3Xh/vTTbbGeuyFmkE4MYE7q+2RfmYZLUKDkxaOQipCvdFlvNa5LPjr+d+6siz2VF6LJmJpRNGYunkcZg5YiQGd++FXl3aY2YtCHDtoQZSNbA0cbMqlDDAsh1mR3fr3L4SYkfx8x8wO723BWb2scAEQuoIguxoQu8I7jeEICwlA60jCMRjCbNjFGbAY8wg/M4fYAHHMd1hPdwSPlN6YHfUaBwIG4g2++64LrgPnskfgScyh+KAby/cHtYb7zUQHBuG4nDlIBwsGoQjNYPx1abB+G77EHy/exS+2DAKn7SOw+PJg3BH5GC83jYHn+9bgbtTRuHZ6qm4IWkCIqZ3R9aSAVg5vNdfwmxnroofFsjP7G6B4DE9ETW9J4qWdcf1wQPxYvFoPFcx0SSD7QgbjvrQCfBfOxqTR/dCNwsVneiCmQP7wnrKSP7v2uLV27Lw+l1tOPbG/fj5+BEcf/kZ/PjRq7hy9nv87cqv+Bs79yuXz+Dy+WM4e/x1fHX4Bjy3PgDvbV6O0zevxulbluHnR1fh4pOrcf7emTixYyRO7B6Njwm071cR5jdNwqebZ+PRjLHYHzoMOyMnIGTRUCwZ2Rt1kXM5EFqA+5u8cGh/PF7YHY37Gz0J0+4EUn88uzUQz2wJwKNt3nhisx8e2+iLp7YE4RFC7t21bnhsvQ+e2xqMVw/E4ODeCIKsO17cGYZXCMYv7IzHY+vCcHBPGp7YGIqHWv3xQJMfHmoJxAMtIbi1PBD7c72xKckJDVF2qIl0oB1QdT3pvBJEBWd8nlV6NS/I28TJ5hG+svxcjAqCEsvSCHIqQSud2WwOqKVakOZNG8NtBarpXvLi8rOBVw7glNDl72pgTP/vCrPRVHkVAbSMz3YRvy/ivpL4kjLAH7q2UiHQwFnbyiupOFbJU0lvVglO+l7FGUq4yissr6sJSyDcSW1gY34S2rITTNsVdiCAlk1RVa1Cwp2Ar4jHK+bx5AUtDlYolx8qI9oVGhQ+oWl7SXtl+XoQEgmMbIPiU+WNleKDksikxpBDWyuPqjzEabQLkjszSWK0S9KkVXzsxqI0qDiD2qFKhIJ4hQoollfXq/CMbF83pLlYG4CXEo2AVKEcETbLzP1t18f2Q46SzfhZcl66DoGwsU/KiaC9k+qDVBfqExQvzHvEbTtg9n9u6YDZjuV/i+Xs27ixNh1JsbGIjU9C4cYH8emFq79p+f0Kvv/0bTx2+yZU5yRhzxtXv7+6XHjnRpSlaN8ctD154uq3//zlr8MMAqW7SQhKpHEldBZ6rUEpgbQx1hO3VudgPWFRZVcLCVbVsb5Ynx5KwA1AFQ1rvrcdOyAnpLitRbTtIiQ5L0GWvzVKIpyQ6bkGyY7LkWi/CFG2C7nNauNdqKGRlWdRwKhKXtJ+VLGGeoJaMY2txMGlaCCPgtGLTArnGglpSMqzIJiu5XvVOC9jxyhPrcrvKvFLnZim+CtpZFWcQFBbm6iSlZHsEF2Q4GFrpjeVXFIWyuNxu0p2pkoKyWMnqEpAJWE0zkGSx5IMkATV/Xj+MJOsoW2kHykx9XXsvPbXFmBzTorxBFUSgpW0VsntNNXWQJitCHEjWHqhOSXYVE+rT4xAS2KM0eNtTfUjeHqjlQOJzclB2J0diQ3Jwch0X40E9zUoJ8QW+NqhhOBbxg5C58xhx+G3eA7c5k9FvOsaA9Bb08ON97ZGoRsRPFZmDDuWYOS626GWHXRzfBiS2GnFOqyA77K5cFowE3bz52D2qNEY0q0noU0xnF3QRTBrVnllLdCNYNvnKswOtOyM4V2lNdvueR1u2Q6zUwml07gKaCf26NSeENbLwpS5HUQo7MdjaHt9P0ZAy2NN7NbFxNbO6WuJlcO6w3F8D2SvGYR1HkNRvbonWh164+aoQdjn0xdttj2xzqkHnswahDcIbkdqhuPp7AF4Jrc/3l83DKf2jsZ3u0bjs/Vj8ErRENwX0w/3xw/FfWmjcXjdLDxdOh43RA7Bc9UTsS96NJIW9EbsjO6wH9XTFHGQF/YfYVYxtIRZAnjPLpaY2c0K9v0tsaxXF6zo2Rm+4y2RtbofvOf0wXweY1xfK4zo0RXDLHpgSKeumNW3H0FtFW6oD8VNbbF46fZiHH/vOnz+2l04e+w1XD79Jc598zku/XwKv178Bb9d+lv76y8/4bfLZ3Hl0ilc+OlDfP/BjTh+fyi+3LEAX2+dhrP3L8HFp5xw+ZGl+J7XfGzLcJPk9lpuXxxtmIDDhPXny2djU+AopK0dDpfZwzCBbcvxm4Vdeda4q8EZr9+YgKe3heH+Bjc81Ewo3RWEV/aH8TWEMOuDJ7cG4Pm9YXh5fxSBNhCPEmSf3xGIQ9dE4Aj3fevmBBy5KRGvXRuDIzen4I2b0vDyNQl4cXcsXt4TjdeviyMwx+CFXRF4dV88Xtufihe2J+HJDbGE20hcX8pBaJQtnxUHwo+7ebbzCbPZYX7IDNC0P0GSwCQh/xwDa27IFMD6uhiYTfGwb5faUngAnzclXCkWXiEL+cGKsW1fBVxK1srgwDWLg0lTxYoD26JAdxRwIJhL4JTHVAoIAmgVDRBEy7sqjVYpF0iWSuFDUiBoJtS10X5UhgXwGNJx9uOgOdjEugpkc3gu2au2zHgeV/GnjhwI8zkm9MXbr2ofLNNWZvOzqnQVs+1lBE5VSCwKJCD68Tp5DQW0OVJjKSIk5wXw/tCOyLtcSXCu4zOsWGLpzeYQ8nVv8gnE6X4eHNg6cGAgRQMVwGivHlbL7aWWoDAB3YOcAGdIRULhCWWRmvHy5/F9kMnBrmaF0mgXNZgXfCc5rTXX2JwSY6A6w4P23dUOyVxTeaxENxteiwvPIzlDPwP8um4lgCn8QDJfHTD7P7d0wGzH8v//5Sweq41F+s5DOKt//cvHcHc1P+9/u/1nLiceKENSXgP2PHAADQTe7f8AsyfwYFkZ7j7Gnc8ewvbM7Tj8u74/i6fXt+Hp781G/5TlL2E233U5Cv2sURspz6oLMtxXIYdA25Lsj0e2VeHG6myUBrmwU3ChoSfA+jsijwa7mrAlTdQCVRByd0DC2rWIXbPSxF0luqwm3C5FFjugNBrH0GVLkelmb6aqNhC2BHMNCVIskOyOpgAVPxtkkigy2DmoAlcjOxDVRy8nIDbxfX2iNBgD0ZQUYooOKAFLU+s1/M4UdJCHMlkSWhJOV6WgEFTFBaI1K97UHzdTaty+kh1PU14iNhak8hhhZi0hzCrxQV5caUsW0zirTKPUGioF0fHtXtlyAq6Mtyp0NaaqDGcIwZHHSAg1oRmmihBfFYNXSHAvDXRhpxCCDXlxaM1LwPayXGwrzERpPDvE9GC0ZIRiY0ootqSFY0t6FOFeJYHd2FlLAs3feGWrwzw42BCgByLF1w2eS2bBaeYEvncksLPTItBvTg0xQLxDSXG8vloOFKpDeQx2opXB3ghbvYQgOw/uC2fCaf4sLJ06BeMHDERfSyszpW7VxeLfEqLkmexCoJXnsp9FZ/S3VBWwThh4NYRgAN8P5jq+h8C1i4HYKT07EWo7YXofCwO3KmvbX/sTGEcQhCd274KRglq+n6yiC4TZ6dxvQX8rrBnVDT5TuyF6CkFxQXfsDR6CvSFDkL+wG+G2F24K74fHswbg+cKBeDK9Px5K6ot3mofh5P4JXCfi2I4ZeDZ7NNbbdsMtkf1xE9fHS8fh+epxuJVQ/HjhWNyePgLljv2Quqw/4uf3hP/k3pjat4eB9n+E2fZV3uk+FlaYaNUNC7p1xfIeXeAxzBIOI7phft/OpurZKN6X0RZdYDd+KHJWz0DOkknYmeiEI4+W4vVHanDo9iq8+dAmnP70KQLsW7h89gtcPHsK58+exuWL5/Hbhd9wRet5wiw7ea2/XjxLsP2Onf4RnPtoG07e5IKTe5bgp/tW4uIzbrj8pAPO3jAJxzYMwTvVkiobiDcrJ+DZgkl4ongmNgaPReLqkbCZOgRTBvZGqM1E7CmyxzPbCKX7ovDstlA81uaJR9rc8dI1YTh6dxLhNBKv7o/Gc9vD8NpNhNAbYrhtBH+PwMv7wvHaddF44/oYvEGg/fCBXHz2WDE+fagYH91XiKN35PG3VLy8OwoHBb23JnJNxnt3ZuGT+8vwwT3lePeOAh4jBYevz8QTW1OxKZODxRAbZPjZI8nbHoneTkjwdESat4t5BuXBlHyVBp0xtB0p3CaJwJXK7dJ9CLN8VlUZS6EJ6RygSlIrm4O8XIKXNF4lPSVgVZa+1iweN4MQpiQuxd8XBCiZi3BHuJQnVR5aQW0jB7+qziU5rCI+d3lBzjy+vYFjabLWGrkrVSzzM55ltVO2TgmmqWxjQQjhnMCsGFOjB0toLSRc65zSqZWnWKFI8grLG6t2FQpIPQmZ7jyPvyBbZb4lQeaNqpgAA8DyBJeE+BE0eTzaIEkP6lXXn+jOfb1pZ2LDDKgmuLSXti5kO+piQo1d1SBes2HF4coXkDJDe2xwreyl1Bc4CC8mVFfwuhIcV7MttsZ7raIQeUpck1KDdGzZRnPvOMDIZJsF3Wqz2m4GHLrHvC8lvNb/fjD7N/z84SU0bj4PF/5m13wepQ//gp9NZ/2n5dRl7Np9dRuuAbsv4pVT7dfybwuf95v2/f04GXdcxiM3/Sft+fIfz9f4+C94StB7y+WrG2j5J7XryEV+fwH7X76E6k3a5iLevPpTx/J/y3IY2/8doF54rg2xZQ8SU68u//Z/9R+3bf+OAGvet4Ptg9zx7JMNKLz1U/PtP2v5S5gtJ5xmea1FtN1SAugShClhSElEMT64e0MF7llfjnUpYQQ4LzREe6KMRl5xmhLwb0uW+DZhjwa4MSYQzUmhqIsNoLF0QHmUM1rTIlDH7yT3ogzY1tQobEiPMVqsWwtTsCUnyWjEVkQQZmlY1QlIU1HTVwo1WJ8Ra/ZpTI4wcXHy3DanRRFuwwi1EiMX6Iaazzp+E3+T90Meghaeu5n7KaFDMWXSwaxJCEAbYXpbURZ25qcTQsNMPF0hOyxNC1bE8HO0PDKBKNV0oPQXCbBKblAH1JTEYybFYGtOKtZlxLVnL3N/TdPV6Vhsgyr1SCw919fBxB+rTK9kivJ5vFqCszqJQg4aaqL90EYIX5cYyXsZiYZ4VfLxaRdUj4skvIYg1XUlOxYXtMgzTYDOiwpAjPNqhNktQ5lUDTIjsD07gkAcYmS9tvDz1txYU41sQ6qqrXmjnJ1qspO1UTMIt11pYHbt/LmYMGwYenVR8hfBlVArz6xgVjBn4kYJrH0Iawo1UCKYErsEqFpHKMSAMDqhm0C2M2YTSucN7IoZhFSFHgwnuA4SAHPf0V0tMYqvYwiykwiBM3t2weIBVpjbxxIzuO+SgRZYObgLvMZ2RdT0Xshe3B8pc3ohb0kP7PLtZ3Rn70voh3tie+PBpD54rWIw3m8bjqMtI/FWyzg8lTsK1wb1x+1xA3BHymDcnToMh9tm4vaIPniuYCQezBmLZu9BiJvXjUA7CLlr+iN0Wk/4TR5IKLUitBPiCd1/gKxgvivhfoiVFBusMJPtt+7dGeHjLVG8pi9ybIZiY/J8HMhZhc3RS/BYqy9evyMSd7b64OVbc3DizU34+JlmHLm3Hm8/sAmnPngG546/h/NnjnH9Dj//9AMuXmKHfuEKLv58CZfOsYO/8DMunT/H1zO4cvEkLl34FJdPP4BLh4vx08OeOHPvcsKsIy4/7YhL987FT9ePx9vVg/B0xgA8lTUML5VOxQtlc7AxYAxilg/DmomDsXD8MDjPH4kdefZ45doUPL4hEA+zrS/sDMbDbR549YZYvE34fP/ONHx8fzahMx1v3ELoJLS+c1sKjt6bhbduS8VLe6Pw1i2JOHpXBj57pAhfPF6KL58ox7EnKnD86Wp8+mAJt8/EkZtSuU06PnggH58+Wo5PH6nExw9X4PNHyvDZoyX48vEKfPVUEw7fVI6tWd4c8C5BlONyxHrYcrVHjKstkghGKqiQ6G6HZAKuoDbrqgdVmrF5/F/OJECmeDiYZKsMwmgyX2Odrdsz/7mvBsSartegsJSglk/4TebxBbQCT9mRVDc7A46KjS0I9kAlB6stWbFmCj6Fbcj2d+K+BFZCoKBXA1TNqhTx2c5QnC7hTSoJOdzfhAFwsKmwhzLaL3lr5e0V3BaxvRoEV3KbcsKkvLJSFNCsUGGQj7F3gnMVYpA0mTyvCg2QvamKlh6uj4HYohDaWAKrytaqKplihQXvedKNDfGlzfBGlq8r4hzWQhUMFS6QTYitjgrmdQSihOdRopi2LY0MNOoRUS5rTDEL3ed07itAV+KZ9GUV+6qqiLmEfik/SJpMsb8ZvMe5vMfyGFeZSmdexmsuZQZBdA6BPZ+f/7vB7M+EvQB+l3THJRz96go+efkikgiOAff8cnULLqcvoVTfHSAIfvUrvv30EtYJDDfw86Wr2/xOkCV42m24gDtevow33ybI3nGhHTL/3J6rx3LZ9Pft7jggyOT6J5j9p7XLwCy/43alt1zEI89exrGrP3Us/7csV3Boy588s1euemave7/9539Y/jOY/fee2U049P0L2JRzAO//+8HV/+LylzAbvXIx4h2XInjFXAQsngP/JfOQ4LzGGLMb6vIJblFGJqr+qhpBibRNCbOCyU0ZhCfClMBpe1YMrilIxc68JNTHemJ9ZgA258ahLSse63IUD6sykb5oIXzuq0gzagA7CpKxkfvVJgahIo4gGBNg4sTa0uOwJTeFoBuNpsQw1MuDQMhUqUXFwqqTqE8MQYukvVQSVl5efi/oFcxKXqw5JcJM/2k6TNBZLKUGwm9beiRBVFVwQviZx4sNQVlUoMkoLtEaqlKOQYTwcFOKU54Y1Uqvi5NSQjSqCJmtSdGmWENtIjsLgW6ED6oSQ1GdEGzaX83rKPRzNh5VeTNUtac42M9kRKe4r0WUzULk+NqzY5N3WzFthOeQAETarUXQ2uVGxigr2BXRzsu4jbeptmY8s+zsIhxWIoUdR7OqtBUn4saKVGxK47lD3VHGv1kpwbktLczENUvrV2Usc70dkeqiActyeC6fD+uFczCsfz9062xpwgraQbYd5P6AWcWN9iSE9iKUCmaNp5WrErtGEmaVDKb41+kEvVn9LDGzr6Xx0g6XB5fbqXTtMMKwYmUFsxO7WmAqYXbRAEssJfjO62WBeb0tsLy/BVYMtITjqB6wGdoVLqO6I3pGL9Tb9sHN0UNwe+RA3BTcG7eG9cTzxYPwdv1wHCodigcT++Pm8D64O34oXqmdgjv5emMU3zfPwuHmGXgoldtVTsYmz36Imd0dARMtsM53CApW94HXxO5IndsfAeN7E7blnW730Or6FTcsj/XI7t0MzM5mm1f27ATPERYInULgntcLNaEzsCtzBfZkrMATm30Jfuk4eEMmjj7cgmOvbMMHT2/GkUe34OgTu/Djp8/jp6/ewU/ffozz33+Ni4TZyxfYmRNmL/0Bsz8TZM/x+/On+Ns3uHDuKC6ffQwXPm7DpTfjcfYRG5x/xBpn712Gn+6cj2/3TMLR+pF4IXconsoejlerZ+BgxVwciJ6GLLsJsJ82Aksmj8LyaUNRGrMULx5IwdNbw3F/szNevyGKcBuG53YHGpj95P5cwmwW4TMf7xNqP7gvG588lI/PHy8hhBbhHQLq0XvS8eWjBfjisWJ88mCe8dB+9WwVvnupEcefrcOXjxFuHyvDsScJuk8Scl9owFdP1+Czx0rx9XPVOPFSHb59sRGnDm7EN09sxLO78lEZJqkuG6QJTgmfSVcraSlDPp7/q4oLTyE4ZRD2CghTuXzNJETm89kv5POtrH6FB2QSxGIdrAlVTsjzJ8wS9FQVTKEHGsRqYGkSsbwcDLjl8nlUEpYgM4v7CP6UFKXBsMrKpro5QAlZUmnJ47HS3GnzBKWSuuJnQWOyK8GOsJjl40qbITUB2gA+d4JZhUko1tdIARLAC/h8ayanmECa4cHr8XIxCWH5bIOm+hU+oDhawbnCKGRPlCugdpeE6ToIjL5uPD5tU1iAOb+qmklnNl/eWoEsz5PPV8UNlxGapbSQouug3VGp2/awDGcT96r7Zjd3CqYPH4ApI/phzpjBcFgwwyTltWbGmlCMLE872isO8INckc6BgFRlZLtU0jfZaY15lU1M8yLEeiuZTAMDV+Twe+3/fwTMCt7+B+vfYfYK7hCA7r6EM1e/0XLm2Qvc7gKeOnv18/MXELaJgPjnjvu9i/Disba82/7xl1fbwfWmz//srf0NTwlU/wSzR+9RGy7gkdNXv9BCEN4vCP03mP3ntesPmF33xm9Xv+hY/q9crryPA2S1WIKq1qSGp/GfRwf8ZzAL9le3oeHfYmbfxwsbc3Dgvas//hOXv4TZXBl4H0nbaFTuhaIwf5NYIZjdXRiPlkR/1EW4oSVBU+xuhDVvAqCfmd5XsYSWlBBUhnqa6lQbCZ8qGLAlU4UMCH0pYSZRa29lGtbxO1WNyfFca8q/rkuLIGwFmGSppgzCWHwwOwV/VBDaamPDUEOgVEKXpvZVxKAuPtR0Fgo9kGyMXk1lrxh/A581ccEmCaEmRtNnwSahrDVNoQAExQglbvkSwFXpLNYUXaiJDCQQRxFAI1EcKTWFSBp7PxMLJ41YhRGsy0loB+g4gnNaLGrjua2SM9jOOrZ3U26sabMSQSrjAlEZy/ayM1K8r7YxkkDsgNShFAb6sgNzQ+SaJYi1XdEu2ROj+DsCfLQv4u3XwGH+THgvW4RMdlQ1BPMs/l1qCaXb+A9WQahVVaQMrvJ0ywO7KzMaW9NDTWEKaffKw6xpTlMXnn+TCv4NlRRWzH3SPWwQsmYB3BfPwrzRw9G7q+SpLExIgWD2D8+sVpMIRrDrSZAVzPbg+z5ce/P7gVxHmdjY9mSuid0Itt3blQ70vTyyAtkhXEcSZid0s8Akguy0bl2wgMC7fJAVlvTj2scS87nfYsXcav8e7WVybYZ3ReT0bmhw6I1rQwdiq0sP7PXshkfSB+H16hF4PH0gHk7pjwfS++H+xL54s3U87ksfhkZu/3TJBLyzfgpeKhuF16on4enc8Wi264vgSZYImdgZu0OGoNphIBxGd0fawt6oX9sfIZP6YkKPbu0eWl5jV16f1BdGdeuKmb26YXnPrrDu1RneIy0QMasbwub0IMxOxoH8ZbipdBWe2OiJ1/fH4J07ivHRA4346vktOPH2rfj2/ftx8v2HcfG7N/HDF2/jp5Mf4NLZ47j480+4eOESofUyLp6/xPU8ofYnXDp/ht+dwi8XvsLFH4/gl9P349Lnm3DlY+nN2uPcA2tx6uaFOHP7Any1bTyOrRuH18tG4rm8YXi9ZhIOlk/H9VGTkWs9EQ5TRmD51DGYNWYA/KzH4bbmQLxxUzJe2u2Ld26Lx9G7k/Hy7iB8eF8mviKAHnuyxKyfPFJAAC3CsacIps9UEUxL+bkQHz+UixPPVeKrp8rx9bPVBNQqA6nfv9qMM6+t528N+PrpKpwktH7zXD2+e3U9Tr22AccItN+/1oof3tyA0/x89shu/HBoN449sRl3NiQTguyN9FaSpxOSPZw42LJGlN0qhKxdigAOsqNdrU3lMGnTKsZVoULSRy3lIFHT/KqSJcDMJFSqKIKSsuRJ1WxMBZ8reWcVC5qvpCkeR2oASpRSgQBNxQtyZffylEDF50VeXWmwVtI2FAueFf7gZm+2F7xJGizHx53AzG25ncBU8aICasl8Gekx2oJcficvsryzAlIlSKn6lhLUJC0miFYRiCxf6dsq8c2D3zkbeyYv8B/JbvLKyuObwc+CVenratUsks6l8+oeKF5Wn02iFs9ZGsq28jd5oRVjLOmsTA6A81RgwscRMRwohNitgNfKRbQ5M2AzczLindfQDvnTXgYQum2NzJ/yBwTVlbTTSsQt4D2LXL0EWYRY5Q+keEoWzR6ZfgoBcUSS61qk0c78HwGzWy/ik7O/4uf/sF5G459h9sQlZPBz6fO/tn/+Y/nmEpL+DIT/2XJ13y1H2j++eQfPu+4ijrZ//LflH2Nmr7Zv7yX8bD7/sVz9/g+Y/Se2648wg/v+dTk7Hcv/9stZPN30n8TM/pc9s/+4XHhlOwqveRsnXt6OnCQCblIZbnznz9lk/78vfwmzbYS2zTnxphDAtsIUAloiWpIiTLZqfTwBNoQG28cWtdE+pO4QtGVHoYEwWkWIVFxqa4IkqbzRoKpUAkSC37qUcKj+d0WwD0E4CFszonieMJNs4LtgNtJo9KrDPdBC0JRagDRiq2lEq2jMBZNpHg4oJbA18zjKLG5KCkdTahRqE0JMYkNFpMISQgjH7lBiloxwLjsldSIGPhUzS+PbQphVrK2m/hsIrpuyEtgOFUMIN5CpspS1SZEoU2iCpuJo9CsIvgLkDdx2S16KgebGxEg0pUSznQRudlZV3HZDRizu3lKFA3UFRtpGBScUz1ZLoN6Sncjf442XtiQikJ2JNzur9o5BsXDyvkj6R5q1bakxxvuqTkAxb8VBPgTxVGwtSDeJckrmkkxaA+9PJWE7l1CsZIsaFVZIDkRZsCP3YcfIv5HgV1OFJbwnpQSAAj8XFAVykBLihnD7pXBZOAPWM6ZhYv9+Rmf173GymmbXe4HtH6+djNC/iidY6T1fBbUDJK/VvQvGEj5VNGFyz06YrNACi04YZtkJQ/k6mNsN5TqGnydxm6ncdg6hddkgSywZYIGVfF3apwuWDyDQ9rbABG43uz+hcURPOI/silDCZ/HK7qiz6YZmayvcEjEAz5WNwZ3hvXBPdB+8WjMEL1WNwK0R/bA/tD+Klllgs09fvNIwHq/VDMeRpjH4YtdsPJU1GvckjkYFj1W62gq3pwzDeq8B8J7YE4HTeqDFcShKlvSD17DuGKpwC7bZkjDel5A/nkA7r5sVlnW3wuoeVnAcaGH0cGMX9Ee1z1jsSpmNe+pt8cw2T7y0JxSHb0nHc3tS8c6DTfjqzZtw+osncPbEQVw8cxQ/H5en9Qtc+ulbwuxZwuxFgquA9qKB2V8u/Ihfzp/GlYvf4cqlLwi+L+DSNzfjyuct+O3LAvzyegB+etQJ3966FGfuWoJjW8fi+x0T8W79ODyfz+utm4xXq2bitvjpyFo9DrYTh2DVtFGYNqwPFk7ogabEtTh8YxqBNg6v3xCLDx/IwJGbYgmvOYTTMnz7Ui2+O1hLgC0ngBJYn6nEyZcbcfz5Knz/Sh2/I+g+mo/jL9bg5Iu1+P5gA3/n62uNOP1KE75+oR6fPl6Orwi4Jw+14rtDbfjxnW04Jah9RWC7Gaff2olzH16Hn48ewJlXduDjB9uwLt3bTFEnc2AnTdg4hzWIsllhSuImetoi3t0e+SaWXXZBKgiENnk8CXg5AR58ZpwR72RnqoaZkrn+7mawl6oYW/e1SOcxBLJ5gc4G5pT8JOCNd7ZGguPa9uSsIDcO9Pgbj10uW0LbUsjnNYMQmyNlAkKt7JISOE3GP89bwedaU+1F3FczIbk6L0FX0mIFoQFGrivJwxFFIb4cZCt8ytckSwkuCwmXxdxX5y3gs1lImFVMaw6BVYoKCpHK9lJilsrDamBKICVE6twC1TLarQoOlAXAadxO8lt5vCbjNSZQZns58tgEbQ5qJRWmmF8pKuTxPsgJkKSSvNxGmt0ltHsFYUHI8vOAJNGq4oJwfWkRqiODTSKr1B6yaVezFXJAeE11d0K83UrEcpXCQ21cMDJ87BFlv9J40xNd1phB8/8RMPtfDTP4uH0q/997bv9Y/w0I8Tu+ff0iSrf+PTb132/zV4le/ynM/kNsrJZ/9/0/sV0dMNux4LsHOZhuwNNXPfpm+fQ25MRux6H/ECbw/wKzF/h72XYcPsvXpE14gce8cuxulBXe9k8JX/lLmJWW6s7iNOwpzTCxp1UxfmhM8ENzgipfEeyiVLPb2SRCNaRGoCLOH3UErBpN5XkR/oLdjd5pZZgfamNCUBbIDiFCMlGeqOc2TTzettQg1EV5GvHtBMc1HMHbGFBTQYLWtDADxfUpYQTBYDP1r1ixNgKwSuZqbSHAKpZ1S34CNufFo07JC4TVOhrjOnYs8pKq8k4KDbZi1pRkIQ9HM8G1hWtbeoyJn12n92mEYsJ6CYFXcl1SPyiVYWcHVKbOh0BazutRMtaW3KT2fVMieM2h7JjawxmULFHD9rTx3q1nOysJ45IukwLCeunvpsWgJTnKJKMVhmraUPFy3C9aXmPp5Wo60JMDAV4bQbmI+6a5rWXH5WIqn2mqTtN22QHSmPRElpcNkhyWm5i1nCBf/tauTamYXNVVz2aHkuS6BskcJCi7ukqhEew0013tkOnOe+60BmHWSxBsvQyLx49DP8uu6Ep4U6LTv1XC6mRhIPYPuP1Db1WvBmy5qiKYEsEErdJhVbUvxciOtmxXL1BcrdbR5ntCbg8lfHUyyV6rhltgLddVQyywuI8F1gzvhsUDumIGYVegu2hANywf1BXuY3sgZnZvJM+1QsmyLtjh3Qv3Jg/BfUkDcWNwd7xQPoRgOwJbvXpjk1d/3JM2HJv5fn9YX7xYMRRvNY3EJzun4MtrZuHoumn4eOscPJQxGg/kjuN+E/FAzhSkLx8KF56neHV/NNr0ReGC3lhBmO5HwFd4hV6nWllgUXcLrO7TDUt7WWFFLwu4ErQl71XnOQrb4yfg3vrleGKzI57Z7oNPnyzDoVuz8dajhL83bjAwe/pLQumP8sh+icvnTxBmT+LS+R/wy8UL+OUSgZYd9OWLPxFiT+OXn0/gt4tf4fdL7+PCt4/jp/e34PJ75fjlvUz8+lY0fjkYiNN3rcbpO5fgi22TcGLHVLzbOBlPZg7B49nDcbBmDu5InYVcu4lwnDoCy6eMwLwxAzFreA8Okqbhia0R+OD+XLx6I2H2wQy8f1863r0rGZ88mI0Tz1fj+0NN+O7lepx4odZ4WL872IjvXmnGmdfb+L7BeGW/eZaQ+3wNvuM2371ch3PvbMLpV/n7oWYDtF8/z+8Js6df34Szb+3AD29uw5nXuM1rW/HDkd04d3Qffjq6B2fe3EXI3YFHt2ZzINY+K6RStDmEtzRveV/djacxN9CTEBhgQE7JVZrOVmWuLIJalo8Lt3czU/SaGdG0fqqXCi14GtiKsF5hvIZ61gSJikeVrJdiVKUFncltS7ivQFHe2yLur8IKmp3K8iYouhH4/FyNpqpmelqyolHCAas0posEh378nfamIFjhBC4mw1/qC/G0bTEu1oRJDiqlWkD7ks9jC351XiWEFRM2zSyKmZbXbIqzAdAKqTkQGmUnlUhVFUYIlneXbdLMUqHCFnQstln3TElXyR62vC4CLLfRbJCJW+V9yqT9UIKd7mWGr6p1EWIJ7dKzVShHhr8TEr2cTDVHea0z/Qm+hGLdz0qeq4r2WzZUoGw7ezxsZ4xFgoc9cnntJr6Wg/Fy2r38YJ7H1RrpbIPUZIp4Xf+tYPaqF7Px5f/Mi/srr6V9M03nuzRfwJaXf8G3+l4A8J95Zjdd/A8d+n+A2Z38/F/0zP4z2tUBsx0LTjyIsliC55/HUAZm/913ZvkfwewVvH1NIba/cqH9mP+WQKZ9/kgQ+19b/hpmU4KxrzATe/IzOepXnBbhNMId1WEuqI1wQ3O8n/Ec1icGEXYJcyogQNBTedXmSF9uwxE6jV4jIbQpMRy1hETJZ+VLUorGvibcHU2E4ioesyLUjaBIgx7mYaCxKTaQ0EcojQtgp+WDWpPUFEOITDRT9YJDdSTyHiszdx1hemtugpHrUulZeWBLrlYTa0qSB1YJDtI/VH10eWMFwlFYnx6LhniFIARy31AD5VV81VRkVWyQ6UgkiN6SkYgGQm85O5XiEHejvLA9L40gHInGpEi+EoR5neXsHAW0pew0dEzpLlbwPkiBQIUd5CmW9Jg6FSOvE6VwiFC2N8RUT5MYuYTaFcsrSZ4MT2skOa5iR6rMZV+oqo6m7aQpmyXQ9ViDKMKoOvGKqDAe09uUG1anprKdeerY2CEpxk8dZ3kwOz5fT6QSZksCfRHrsAqxBFp/6+WYMGQwunWxQNcufw8vaF/bQbY9EeqPkIM/JUVx7c21P2F1iLyvXQi0hFaB7HCLLhjA7fX9MH6vogpTe8prq6IKnbCofyc4jrOE24SusB5mAesR3WAzqhtm9rDAHEKiPLTzenXhb13hMLIbfCb3RNSs7qi27Y7dgf1xc8xA3BrVG08XDsHzZcOxxbsPUuZ1xc3xI/B08Ri0ufXEDdGDcLh5LN7fOB5fHZiJr6+dhY+2TMQXu6bjo22z8L6qY1WOw0vV07HefQS8xnVH4ERLtDj1xTqn/kiZ1dfoyvbrYklYt8CsbpZYys8O/Sxh288Kq3p2gcfQbkif1RtN7qNwQ+Z0PNy4FK/u88ALm1wJemWEvhZ8fXATTr5zG346/hx+/v51XDj7MUH2W1y+8J15/UXgeukcfrl8Hlcucb18Fr/+cgqXz36Gy6eP4sqPh3D245vx7SuVOPdaDi68GoMLLwfjl9dC8OMDNjh162J8vn0qvtk9Bx+sn4lHUgfjlsi+eKZsBq5PmoFU20lYOXEoFhFmF00ahlmj+mLFpP5Yl2GLt+7IxPv3ZuLoXUk49lQ+3rkzGR8+kIUvnijDiRcbCJ2thMwmnDxImH21ie8Js4fXEWqb8NmjxSbE4FuC7PeHGvE9vzv33jacPryRcLoB377UhOM8xsmXWrjPFvz45nYebzN+PLIDP769Gz+8tRc/vbcHZ9/dxvfbcfada/DJw+uxI08Jkao8xcEuYShTyUv8XzZT5hwg65nRFHt7QQH+b/MZV6xpu56sO0xyJj9LhUSfZVfM8yVbRvtRKRuhqX/CnXlG+MxIO1Zx99pXkKh4V0GlNFdVIjbXn8+ulAi4bRGfLXlQWxVnn6ZETNo2fi6k3VGbstgmQbKUBwRziYTZJDdb84wq6SvPeFcV86rnnufxdzcxqNKxltpCMQedpdy2goPxxrhQM32fwGPoePIWF3HQKu1WxehX00aVyUYQiJVgKhsrUE3jKg+sZA7zef8E3PJeJ7jJC2tv3kvaTB7wRNoBSXGl8fiJHOhKc7aE916V0ZQ4p9haxftnc5tK2rTWlEisnDIG4/r2QNDapQZu0wnJCU7LkeC82kB1nrmvCulwQy7vxX8rmP39F+xadx5ed/0pqcosv+PMD3/EmP76H+JezfLxRYT9CRr/qzGzxx7mZwLoC+evfqHl38fM/hPb1QGzHQv/63BbYSzKbn7/apjBCbywJR2xTU/jz87a9uV/ALPfPIjqLS/ABBT8/nfPLL75/8AzWx3hioZoD2xMDaExVelaP9TEEub8HVBEo1VLGN2QGo7N6QS6+ABu44fWGD+sTyTMcttqwmlVhA+aCY6KgS2koa+JVn11R6hwQkmwC42whwkraIz2webUKKPBWk3YU8WwTewkyvlbeaQXahOC0JYVwzXWxMHWEzTlfW3kazU7noZYf1MUQIldDUYOi+DI/apiCNtsmwomSEarjlAtHccaAqSUElQTXeUe5blQ51ZB2KzmuUzlHm4Xab/ClI9sIvjWEWbbIdTdKDM0cht5KBSHJs+qNCJNaUt2mvLeykP7R9yrpiPlFZa0jYBY2dAlwR7mvAL9uuhgwn6QgV3pbMrDXcnOsVxTqey4qyPCuIYYSR+pJEgdQZCvUrXKMlbIRW1UiJniU1KXpkFVCUmdlbKb8wO8jOenyN8byc52iLJdhVQPJ0QRZuNc18Jx8RwM6tXTKBgIYAWp5vVPn9thth1o//5eXtp2z6yAti+BdiihdRhfR1h0xtDOnQm3ipnthIkEWVUFm9a9E2byddlgC6wd1hkek7rBdUI32I3qSri1wAxuK6+svLHL+3chxHaHMwF3JcF21RArI6HV5tkf+8IG4YbwfngocwgO1o0n2A5GwuyuiJjWHfcmD8fjuaPR4tAND+WNwpvrxuLzvdMIs7Pw+b7peH/rOHx2zXQcu3Yuvrh+Pl6pH4W3WqfhhogRCJrcHfaDO6Papjf2BAzCBqdB8BvdFaM7W2CClRUW9+qGNb2t4DHQEn6DCd89LeHS3wplCwZwn+G4p3AJHq9bjsN7PHFosxuOP16AHw624puXtuDU+/fi529fwsUzb+LXS18SYL8jwBJYL57kehpXfv0ZV345T4jV64/47QpB96f38dPXz+PsZ3fgs2cb8NkTGTjzchrOvhCEHx5zxsWXfXD+SQecuo0wu2Mmju9fgo+3LMTjGSNxY9hAPFs6E9cnz0Ks9QQsGDcQcwm0s8YNxrQR/TB7ZF94rxiLBzaG4fMnSvDxA5n49NEMfP5YIT56OBdfP1+NU4daCKAE0zfa8P3rLVCc67m3N+HskU0GaI+/UIdjz9bg1Kut/NxmwhDOvLGJ227CD3w9Q6g9+XIzvnmmnttsxImX2/A138s7++Nbuwmx+41n9tx7O/HDka04/cY2nHl1F57cnsMBmZOBTU23myl3ApniVws58CuNCCbM+nDAJh1VTZe7Ey49TPymIFQxsPLGtstycYAYKO8qbRJthbyyio2VV9cUalCMLJ/dMoKvgFgDX4UaaHvFxep5VQWtLF9V7nIw3sccQp/iSQWIUjbRwFXbShPWVMTisQo5AM325rYcSMpDqWSzfEErf8shaMprm+frYVQM8vkq72oF7UQuXxVraxLH2IYaPt8qPJBOSE5VJTElp/F65Dmu4CC5OiIQRRzE5hM4BdmFgQRX3jfF/hYRiuvkSfVz5HfObK8GwnrPAYC0Z2PDzTXIO5tl1AccTAxvSTDtDO9FDe+FwiYU4lDIe6+ZqpbEYNr7QHiumIsxA3vCd81CFLCtKR6EZHdrZHjbId3N2sTQmqIOPH4mofm/Fcxy+UfVgF/x7aft6gLyeP6RpGUAlNtUP3wZr7x+GU893q4s8A/T+f+zagZbL+IRHuu/pmbwv9CuDpjtWLT8vxVN+Lflf+SZ/cfl7P+XMbN5AXY02rY0zhzZR9EghbmiPiXYAGczwbCBkLYtJxptyWHsdDzRlKTvA7AxPRitBFrFrQrmWpJCTLWZHG9b1BIuqwm6Kk5QTiPZFB9IiCUQc91CYJRCgYx2FTuGGk1VKdGJ56lToQGCciE7mAr+Vk/wrJMRp6FsEoBGyOD7mXAIlXNVKENtDI+fqFKT7Z6WaikbJEQQ/Ai7hM/qyEAo1rQuJsR4Ttsr/bADo8FX1TBNRS6dMgoLxwyDhMWlYFCtamOEVelLlhFKVThBsj1ZNP7Sw1T8XjnbI6UExciqJG4Dr79BhRF4/grBrq6H9086jjq/vLk17Gya4kKNLq0S2+oSo9CakohSeWuDCfNqM89VFurTfv3xIdiSH48NmdFoSQk3962cnWimuz07EAcDs5lcE5xsCeP2yPFy5zEizBSqar+Hrl0Kv5XzEGq9FIFrFmPh+FHoa9UVVl0sDbgqyUuFEv4eZtAOsH/30LZD7R/bKm5Wq4BWFb4Es8PlqSXYSo5LIQVz+nXBQgLg3AFdsHSoBRzGd4fnZHaE03pi7ZAuWD3UirDYGXN7dcKKIZawG9kNKwZ2gc/UnnAgzC7nvtbDrZCxsh9hti/2h0k7tg+eyB+GBzOGo2xlL3iM6YroWT3wZP4oPJA+HFt9euLFhsl4d/N4fLF/Bj7awddrp+LdTcNx7Prp+PLa6fjquul4e8MoHN00Gc8Wj0fxql6wHtIZ2Qt74PrIwbgzfhjqbfpjfrcumNGVQN3PCnZ9LOA+pBsCRhO0B1vBjW2vXzEUeXN64cGiJXiychne3u2ON7e64duH0/HNkyX48vl1+P6je3Hh1Au4/OMbuHLxM1y5dBK/Xvkev1z4FhfOfcNO/Bw/E2Sv6PUM+9eTuPT96zj/zUP44YM9ePu2dHx4dzy+fSoRl14MwbmHnXHheS/89LgjTt2xHJ9sn4FvDizHexsW4oncCTgQOpQwPwv7EmYhYs14LJo4BIsmDMWyaaMxb/wQzB49EAtH98X65NX44N48k+z10X2peOeuNBy9L8sA6qmXW3H2LYLpm+v4uaU9xOBwK4F2M4F2I7472GSSvr471ER43YDTr67D6dc344xZN+HUQe73ShuOP9fIbdfj5EutOH1ISV+b8dPb2wmxe3HuwwM4/8kB/HR0F8/D476+BR8+0EBoklKBg0mGapeIIlT5uBLqXE28eX4IwZHPkUrQSiNVxQA0q2HAlp9NMQXaodqEcIKmNxSXKoUBhfLk+bVPuytcRxJ5Ci3STIw8v4JMSXcVcsAp26b41RweU9JWAjPppsoDrDKxqYRbfacqhEbrVSEBfKYLCYqKpc/xciEkurZ7awOkNetnwgAyPG2NJ1PxuwqlaE/QInATvPMIvAoP0PWlKqmKcKq2SBpMntkc4zXl7wTSXF6DPKg1tEMVvHYdo4ztk4SYwiNy3Z1QyHNXR3B7f0GwG2GeoEp7WU1b1RRP28E2l0bwnDx+LoE4z88deV48F4FUcKwKiEUhCnNwIcxK45p2yZ+2xMsGa+dOgc/yeUZdItp+TTv8h6gsrwPSXa15PMXuS1HF878dzLIl/0HPNWbfv9Nq/f0KXiGYBlwFRa+dF/HUu4RSvk969E/HOv8L7rvh78eRzuybj174j+35Dzqzl7H/z2EGZvkntasDZjuW/4OWv4TZMhrnDBrvCPvlCLddAs9V85DouYYG2hO7itOwKTOCxp8Gz8+esOmHltQwtCUF4UBxHDanhxHQvAm20diZEWkqg5WFOqMw0MmECAge5X1UYkUFO5aGOBrWKB+TYKbqOhWE1nwa7UKuAtNSbqPYXGX/VnPfegEvjbaqWVXQmFdFSubGi9DsgeaUMDTGBrBzIEzHSSos0nQMJfJoElzLQwSR8uYKZgWHPgRfdjxX43nrIlV2Vl4WV8Q4rYL3opmIp1Evo/EXoEo3VuBbGOxqjl9LwNVUqHQVVSlMHtNStkMhDrVKXmMHZ8o5mulExZsJZoN5bkJ4dHucraYx5XHWtSluTt6WSjMtyg4pwgONyRw8SFJLHpqrbW7ggEHHVaxubSwhOMzPyHmV8loL2SFmshNNcLZBsqsDOyd5cdgBs42p7jaIdVkNlwVj4bt8NrxXzMeYfr1NrOwfYQUmZtbAajvM/t0b+49eWa2Km9W+SgJTqIHCCUYqxEAga9EJs/pbYD5BdMGgrlg0xApz+nSC/VhL+M/qA/8ZfeA0xgqrB1tgQe8umGrVCQv7dobDCEusGdQZdsO6IJiA6Dymm5Hssh7RFRkr+qDVozcOhPfFXfG9CaAjcX1IPwSM6gSXMd2RMK8bni4di3tThuGGiP44smkW3tk0Gl9ePwsfbB2Dz/aNJ9SOxNc3TsGXB6YQaqfi870T8cG2CXijZRruz5iI5HndET/VCjdGDcKTOcNxY+gQhI6T0oIF5vW0wnJ5YwmwwWO7wm9UV/gTomusB6NmFdtTsxyvtdjgsxsD8MEeX3zzYBo+fTgP3766AafeuRW/nX0Vv559C79e+BS/XTzBjluxst/g7IlX2AedxW9XfsKVX8/i91/P4PdLn+LrV+7A2aO34soX1+CD26JwaJsjPr3dH+eeIsw+4o5zT7jgHGH2u7tX4Y3m8fhw23y8VjcDj+VNxEbfIbgjdz42R05HhDyzEwZjxfRxsJ03BXPHDsWEgf0xdUg/BK8Zi2f2JOCLx0rxxeMF+PyxAnzycAG+eq7KxLoKWk8rRpYw+/VTVQTcJnz/Whvhdp3xuh5/sY7fNeBHAu+Z19fjxIuE4Fc34Xte8/eH1uM7AvGxJ+vM9ydeaMaPhNyfCK0/vLaeALwVP31wDS58dh3Ovb+X59mAHw4JkrfintY0gpxDe8Uv/u9KISDLkzDrKRkrDzMVroTJbD6r8o5qRkSzG3qvZEfpt1bFBKKaz5bgU1W/NNvRoJmdqKD2Z5IwLD1XeSkrIvjMccCZz/PkEcAUqytQNTDHZ1yzS1IlUShCFsFahQcyOOg1RVMIiIl87zBvGtyXzEIKIVRwnCfwJlRrlQe5kgPTLDPYJOxxgJ/tZ2e8pbINap/i46VSIHCWJzqTwKvZIMWg5ih+lb/n+rZLe2V6O7b/znuhNgjQ42ivs9zW8LO80c7IcbNBnhvtJI9fFEQIJpTWcEBdFqXQJQ808P7Ua1BOYM4jWBcEOHM/V1Ry+zxegzzIRmWB51HYQL6/A1p4P5ton3SvVX44w9POyJ4pTjeZgC/veJ68zn4E2QBXFPA61iUm/G8Os/+HLL//CUi1/BFW8GcN2Y6lY/m/cPlLmC2icVN8psucqbCdMR6rZ0zAkrEjEGW3DBsyItCU6EeDZYcMFQGIkVfCF/UxPtiaEYJNacFoSQwgGPrQKDqjMsyF4EbjGuqCUhpuVaJSx6OEKnkQFFeqaTGVS1TcmoCtPMQLZTTYhYofCyWYJmgaPpjb+vG4ATTA/qhRx0IDWxFBCI31Rh3P35wcjB3ZcWiMJxzS4ErEWx4b1S8v57GlRyvPaL05HiGT+0rmSuEMAut6Qq/Kv1by+0oafMW6tus3uhqvzx9lbrNpqHWMuiTF7mlq04PH9jNxb+UE1VoDnt5QBbC66BDCr4+BXhV/qJSObbTAPYwdnrfpnKUNqam+VBdNzzkZj4u8MIUhiv2VByXUJHCpNrumRxU/+EdVMKOZGeDOTs3dJKdkeTpC1YyU1JLj54E0d5WetL56bDszAImyXwz3BVNgM3MSBnXviq5d2pOcFDfbHm7QxcCqkr/+M4ht/+0PmO1sJLqGWXXBMMsuGMFXhRlM6W2BhYMFsd0wp78llgyxwJoRFgiY2RP+MwmpY7th7XBCIoF3Xp8uWNTPEt7Te8F9fFc4jbJA4IzuCJ3ZHbbDLDGhqwV/74L4uV3R6tkd+8J74cHMwXg0awQa13aH3cDOcCNU5q/ogceLxuOepGG4K2ko3ts+D+9sHktwnYb3t4zCp3vGEviG4ZvrJ+LY/in4+rppOLZvAj7fMwHvbpyMw82zsD90FJImdcEBQvKLJaPwTO5YrHccAHdC9qIeloTZLnAZ0gURo7sgZqwFYqd0RaVtX2xw64enygmTLWvx+Q3eeHObG47ekYCjD+bj5Bsb8dWr+3H+xLM489nT+OXce/jlp8/x26/f4cqFY7h46n3Cq5K9vsbvv32Pv/32nUn6eu+RDfjsqQZc+rgNX9wbiWcbFuO9a+zx7b1eOHO/E767dzVOPbgG39y+HIdbJ+LtjbPxWiNhtnAqNgSMwrVpC7ApejYibCZh/qShWDZ9ImF2GhZOGompIwdj2vBBWDtjKPaUeOCDBwrxxSN5OHWwxujJvs/PJ15uJHCux8mDjfj+9VZ8q5CCgy2EToLoYQL6wWZ8/XQFTjxPyCXsnjHe2Y3ch7D6+kYDricJsMeerMU3zzXi2xebcYYQfOrFBnx/UPG3rTh3dDfOE2h//vCAiav9/qV1+OHVbXh5fxnKIgis/F+XXqyBS4KbChpIsipTMMvv9HzmEcIUJ15Km5Kp+E4Te66wH0ngEYJpywRmuYTIag4oNYWer8QpeQ35TKvIQb4UBTjQlSKAQFKxogoL0HNfwlUezBKFLRB25WFVCECOv4oH6DlzgtOCaZg5vB/WTBtrwE77qHKXtGg1oNaMkOLfJZOneHbZlDTPNSbeVuEJAuBox5XIFLByTfdYi1zCYzltkdQXFAagClvpfJ5lgxTqkOKyis+7LcHRAeGr52H1xCEIXDyVtof2LtQNJb72qOJ5ymlf833skOtla2a9yuSpZTsUOlDMay1WexQWQFumcKVS3tN83jPBdeDK+fBfPveq5NYaZPK1KMDJnFfJb0XBhG/umyLVAncCMY+Z7W7PY7hxO8X+2/I+OXTA7P/i8sv7FxHTegHrHr+MT07+PXxAcbQd3tOO5f/25S9hNt/LhoBHSOJIXvJY9cmhCLdeioIwd2zOikR1ODsCGlBV0GlPECDcRXuilZC7szgW61KDCHReyKJBFvSWhLmiNEoxoB6oZadQTwMuo1pDCFacrOJJ1UlJjkuwqQ6njJ2FPKia6stgp2Eq7NCIK9lBcbOS/aqO9kGhPBCea1EW6kgIpQGn4VfSmqqAKUFD8W/J7muN9IxiX1tSw6FCCWXct0BFBQitVXECXz+eLxRt8VHG81tHGJaUl6kLT6OuKcp6tq2KHZnCGbYQmpt4LJWZVByeQigEznWE1WbF9pppvBCCt8A5iOcLMB5iZQbXJShRLZCdljpOL2R4uSHRkfeKnWKhNC15f8p5DSWE2cbYENOumohAXm+wibnLIAArsUvTq5qC1N9B3iPp3Rb4KSaXHTg7+2QXOyQ52SLD3Q7prjZId1uDAn9HpLJTs+cgZdHYkRjWuzt6d7VEn65d0a9nD0Lt32Nl/zFe9j+u+l1JYPLKDu+qZK/OphLY2K6dMIPwuWxYdywe2h2z+lrCaVJ3gmwPuE/sCruRlljWvzOWDrDCHEEvgdZ1Um8EzOgDh2Fd4DOpKyLm9kIAX+W5HWXRBQv6dELcPCu0eHbD3og+eChXMlxDETfFEjaDreA3oSuq7PrgsfxxuCd5KO7PGIGj2+bgg51T8eW+qfh451h8umsMPtk5Al8fmECInczXafh873h8vn8SPtoxER9snobHcsajfilhNqgfni8ahdcqJ+CeBALuzG6w6d0ZK3t1MfAcNbILcmZ0Re7CnmhyG4ADEcPxROlsvFi3BO/ttMVrG9bgnZsj8O49GfiOkPfda3vx3Tu34YtXrsO5b17E+a/fwO8Xv8BvP3+Kc18cwuUf38X3H72A33/5mlB7jL3XO3jngWq8flMCTj6VhjOPx+O1zUtxZMtinLzPHd/dY4/jd6zA13cuw6c3LMYbG6bhlYapeL1lDh7Mn471QeOxJWo2ticsRuiaiSa0YPHksbCeM4UwOwrTRg7B5OEDsXrqUMLPMrxxazaOPy2t2CojpyVZrS+fqjCxsNKOPfVKI069XGu8sN8Rcn96k5D7Qh2+fLwUJ16owYkXawmrdfytGT8e3oif3thEmCXwvtSEk1y/ebaW0FuHb56qxrd8PamkMR73p3e34WcBLWH27JGdJszg9MHN+PC+RmzJVTUsgpxiNjXg5bOs5Ehl55uqVPw/V4iNBsT6XMjnWfqmGd5OBmz1m+S9UgmXSU5rDMxWKjyJg1olS0riSoon2X7K7m8vgyuYFTQqQUzT/3qt4bOrOHjpzeZy26qIAHNuFTqQLmymjwMiHVcjwnEV4l3tzDGkUytpLelUa1ZJszryGCsBUyETSs7Kl/2hXVG4wvKpozF/9AAkEf5MYhqf0Xza2HLa3GKCqZJPVcQhh+3O9LTnPbBHpoc18rxtCaUOyOH2kdbzEbJ0FkHSCWV8zkv97FCv5F2CZWmAI4oIlSW8P6W8V/myGQTZdN6XfMXzejvShnqb+HtBfBntXi639VsxD37LFhh1lETHZQhaNpf2yoZ/E7aT582lfU93W02AXWO8weUK2+A9L5N3m9eV6rIasXaLO2D2f3m5Kqf1R/gAV1OC9uR/0EjqWDqW/+uWv4TZEl8bwpM7VNVLxQ2uKUrCjswIgmwUmlNCCEx2yPHm6t8eCyY5mRoC6/6SGLxy6yY8vr8JKm9bS4CtJJTVxPoSFv1RHuKBOnYy6xMCsS4xiEDLjoLGXFPo+r2MUFijpK1oXxTwmPWxAWa6LpMdRr68BTSSJewEZDCVGCYwS7JfilTH5Sjys0dFiDNy2RkoTmtDdhTWZUXzHP4oZqeVG6Da4xHtHRyNdHaAEzsjCY+7mnMrxreOECmvbznPoXCHKrZFHlXjwZFnRiEEcSrqwPYbCa4IE2Mr5QYT1xohkHRGmUrTRnoZIC4N8uR1hKMxORZF7NiU8VzF61QSmGqxl0T48hrZmXrZ8/juaEyUhi07vhDFwHmgMYZATIgVFKuoQ3NiNKE5gNs7Q5WINN2o2DopNRhh92BfI+6ucAMllUjWp9CHwO9hb2KCC/g3U7iB9/IFWDhuNEb07okJwwZhyshh6NejJ6zkmeX6B6z+e4D98/oHzPa7CrPDrTpjrIodcJ3bnzA7vLupAjZnYFf4zuoHz8ndsGaodGQ7YdkAS8zsZYlJ3G/VCP4+oy9cR1vCY4Ilohf2RfKKwfCZ0B1L+vGYlp2xqG8nREyzQIMLYTa0j1EzaLTuDfdRlrAd0h1hk7uj0bk/niqagAcyhuHRvBF4b9ssfLx3Bj7dPRmf7Z2Ijwmz728Ziq+uHY8vrplAyJ2Ez/aMx4fbx+GDbePw+e7peKliPPYRmPf79cBThaqkNRovV01G/dqeCBjeGY5s9xq2P3WSFQrnd0fxst7YGTYC92ZPwdPls/FY0TQc2bSMULkQ7+11x3vXh+DY49n46J5ivHVHBQ7f24jvP34IRx7ahgsnDuL3n47g80O34aevn8Wz1zfg8qk38euZN/G3sy/hg8cq8dLeEHxwox9OPx6B969ZjTc2zsWxO2zxxc2r8NF18/HFLUvxwf75OLx5Dh4uGINX1y/APXkz0OQ3AY0hc9AStRQBKyYQZgdj/sSRWDFtHBaMH4lpwwdj7KABcJo3AfEO0/HUrhh8/0ozobQOqtr1lYokPFWOM6834/Qr9fj22Up8/3KdWQW0Zw424OsnyvDFo4U4c6gZx5+twrEnynGK3589vA7nVBRB3ldue+L5WnzxeBm+fLIMn9wr7y8Bl0D7I4H4/DvbCLJ78fP7+3Du3T0GZk++0ELobcW965MIck5mkCeAlbqAIFEglU6Qy/F1MM+dZP+UsZ/t40joI0wpBjWEYEb7IVjMJYSaggh+ivt043PeXppaVbwqQvlMKmzBg0DI3wSemgGqjvDnMyqgc+Uz5cXnXyFBmn3xJbRJ1UCZ+ppmV+KUDdIItPIWpzjbGOCUtnNOkBtXAjDbrcG6puCz+NxmmNkTXg+hUjYlw8MOrvOmYen4EYhzs2YbpHrAwbam9rmdPKVKplVcvWabJNsVb7MYKU4rkcX7UBlOe8VzVRCCiwi3pYTWiiBnFPI+5Ujez8fOVGmsoU0rZHtLeR9yXK0NBOd6aaC7Etke8ri6oYz2o0hOA9ok5Sco8TSeA2LJFRZxIKAktDin1SbMSoMLtV+KNPVsQ1GgoxmE78pKou0P4rXao4B/kxQCcwfMdiwdS8fyr1r+EmarQmn0NcVFONyaFoKGaB+sS5JqgGI0/WjsvQi1VxUEksONp6KWIHZdcTQe21SKW+szCcAxaFWBhTAPNCQGY0NOLBrYuWxMCsaWFH5ODEAVfysL9eTxlBHshzpCory35ewAFJJQHamkKX+ThSwhcnlV6uW1pbEVGBf40lgSrFWGdntuHDZmhhCWCYQJfthdmoT1WRHI83ZAqqsNCs0Uf4ipLa5pMWX3ZrADkj6kdGzLI7yNuHcuDXIZ26ACA+Xs2Ex8q8Ib1A5uI69uDe+HEtsq+f2GjGg0EDilBauqYpLGSXZeSaCV0oA8x65GcqcuXmVwCcrsJKt4rcpclleolvejLT2Y91UFKQI4YIg1FcmUAKaOtCE+ynSm2QTXfHaS0rpUuUgluCgWT8leqilfy06ujB1zhic7Ovs1pmNXuIa0f3O8HIzgewk7q2LCgOJ7I5zWYvLQIRjZpyds500m6IzGgO7doKSuP0tw/edre+iBwgx6EGQHdOmMEd26YBTBdEpfC8zub4GFQ6wwf3B3kxA2lUBrN6k3lgzogtm9u2DR4K6YyG3Hcb/FgyxgN9oKDiMt4D+tJ8Lm9ETi0n6IWdgf9sOsMI/7jrOywOKBlkhc1AsbfPvgmpC+2OnXB2kzrGA9uAscRqjcbXe0ug3A4/lj8SBh9qGswXh36zR8uGMqAXYCPt7Jddc4vNncH19dNwkf7SS87iXM7p+Ko5sIs7umEHBn4b31k/FS6Ug8kDwQBytHEW4H43DjBNwUMgDp07rAizBu36czMmf0QPHy/mhzG4G7cmbj+doFeK5qNu5PH4O3Ni/geWbh3Y2LcXSHAz650Rtv7fLBw9UuuLnKH18c2ound2XgrfvbcOy1A3j+5hp8/srNuLEmHB8+tR0fPbMdJ97ci88ercKh3UE4vNMZx+7xwcc32eDg+ln48LpV+PiG1Ti0cTLevWYBPjiwDK9tXoTbMkbhhdaFuDV7Fio8xiPdYQJyPGfDnzC7fOoITB06ELPHDMX8CSMxZ8wwTBk6ANYzRyJ01Xjc2eRjvKffCkyfq8LnhNTPHy5s97o+X43jT1fg2+cqcOLpMpxU0he3+eS+THz2YDY/t/92/KlSnHq+CmdeasCPrzbhDNeTL1QbD+6JZypxnOuxR0sMBH/3bDV+eKUJF94jzL6/Bz8RZM9/cC1+eH0TgbmJvzfhrdurCXHysCpulf+7fP5VWEBhBdl89jMIYqqCp981QJW+q4HZUBUIkYqHtFfbva+a8VGcaCmfS4UySYmkXIBKoC0mnAoyFcKj0KJCqQ5oXw4GswmoxRyQNvD5lQSfnsU8wqSm2dP5TKoyVlGgE0o4cFfYg6SoFAIkRYWqhAgTjiBYzlVRAj6vsisquqBiMZlyCPjYIsN1NVI81yLe3RYp7tKZ1dS/m2mrQgEqgnzNDE1hgL25Ts26xNouN22Wrm2+rw0H4A5oIlCWeFojw2m5kQgUnKbYrUGWAVoHM7BXeFY54biM11hNuytbV8hj5mkgQDhXmFIcIbmUg/wy3k/BfzKvtTDc08h9pbI9iQonoP2sj/blIDsAmS6a9Vll8g9qaIekvy21FulkJ7msZJudO2C2Y+lYOpZ/2fKXMFuvGNLg9rKn5j1H28pgVVKSQEjVrRqTI1BnCgYoocnXyHHJO9sY6YkNsV7YEO+NDSmB3EaFFvyxLiUMmwjA21JD0MwOqIHHVSWxykgeM9wDdVG+xltbH+2N1kTuY7RsNY1IiKXRrIr0QXNsINrigmnc2a5oL1Rz/7ZEX2zPCscN5fHYVxKFHRlBaEsNRR2ht5HHMLFivi6oYWfWnBZpEsUK/ds7DMWBFQqeY/yR5y/vjx07STuURbBTYxvb43d90cyOrInnleFuTQnHxoxI4xFqSJa3JBwt7LRqabwbkwLZCbghwWE54dbL6OWqBK/CE6SXqxK4teyUaqNC2TnxmMkhWJepIgk8bgLblxSOnYWp2JafxHMHIseXfwOCbyFfS/x5L9iWHG9ldTsRyt1M3J+AV9OimvY0deMJs0nOtnzvykGJN5r591FnrVi7NH6vxDpdW5zzGkwYNABj+/aC29KZmDJiMHpYKMSgHWYFq/9vnllLrr0JpP0tOmNI1y4YwXXWQALo4G6Y2q8rxva2xEApGvTTd1YYb9kJy4Z3w/Q+VhhDQF04sDtsRnTD2iGKebWE98Su8JvcFSGzesFlQg8sIfRO7WWFkTzHokGWiJzTA9uC++O6iAFotO+O0LEWWE1wdhnZFTHTu5rytY/mjMKjucPxcPZgvL1pGt7bNAnvrJf3dSI+2T0Jb7cOxVcHpuDDbePx2d6p+OLATHy6czJ/V8jBTHyxewbebZuAJ7OH4IWSEXilchheqx2NR5MHYZ1Nd/iP6Az7Xp2ROKkrylYNwDa/MXioYB4ONS3Gi3Wz8WDWWJ53Ht5qm0MInoXXW5bgo2ts8P5uezxTuww35SzD27cV4PB1iXhkXSDu3xSG66s98faDjdhf5IrHtsTi8U3ReHFPLD6+Nxuv7/bF4R22+OI2F3x8szXe3bMK7+9fQ6C1xlM143Fk+0Ic2bGY26zCvrjheKhiLm7OnIsSt8kIXjoGUTbT4L5gDJZNHonJg/tjxsjBmDN2OGaPGIQFowfDdeFYpHvOwu317vj8qUqzfv1UBb55pgJfq6ztY8WE1DKcELA+W4Hvnq/BmZfrcYpA++6tifjonlSceLIYJwiyx7n9yWcJuyqkwO2/P1iH04caTFGFb/jb10+U4tMHCvHR3dn49pkqnHqhFucl9fW2dGa34af39rbH277awt+a8Mn99biuNILPpeJHJS0lb6grAdXFhBcJqAr4XgPHEtorTetrcKdCItJrVRECxZ6X0r5IxaBEgBamWRZBsTsBWTMY7mb2Il2VxQizktFT7Lsy8AWfplgB7Y0USJR0WUagFvjl8RmUbFU7IHNga7y2CnfwNjG+KqGbxzYpplY62qUh2tbdAKUqeil0IkVJU67WfKZteDxCMY+XQ0BNcWkvAatYXA2GC/0JrH4OBOs1SHVegTSX1ch0s+Z3HNDyOJkExiICbV0IoZqD+3jbRcj0sjb2WkBbQZtUybbIASC7qWSwPMKtBulSWJE3VbNAStaS9zrTdQ3vleJ2rRG1dhESeD5VTEvn4EEJaolsd7zdUuR4rOX5OPjnOTI9HCBps1g3G4TZLjXwX857kcVts/j36IDZjqVj6Vj+VctfhxnQKClrX4a6koa4imCoaS+j6RgsuBSUEeRosORhrKCBl3eiwIcjdLtlKPFcjdpQJ9QQVCWTVUpAbIsPJGhGY3dmNGpkYNkJNcQSaqVmENFuZJsIWZXscNpSJOsVYKbr8wiYZeFuhGI/A7tbCZPrk9oTzerDXVHhb42Nse64JjsQu7Pk8ZUXw4fgHIymWCWRORjPaIXiWaMJyTG+BGcfdmLtxjlP3hwCs4S+1UEaPUaCrRI+VP1LANmaFEGAjTEKDQcq0rG7KInXzjamhZrCDLU8bj2P20Qo1THC1ywwniSFDDRwm5qEANRqJRDXEWbrY0O5BhtPRnOSP6E32FQiW5cSj50FadhdnGaUCkyxA0JxVagPGqICeY+CCdEBphMq49/BdGY+vA53W1PtS+Lsmb4CXA92RtIFdkYpO8M8dvBpLvZ8dUEVr0uZxuGrF2Hq0L6YP2YQPBZPx4g+PQ2ctoOqPLPtYPtneP3zKuA1IQYE2UGWXTCIIDy6hwXmEkBnDOiKIZadDej25e9je1thfI8uBNPOWDmqJ6YSZqf26Qq7cT2xZoiFUTAIntYD4fP6I3BGH9iO6mLCFKb37WLUEUYQiOf374yo2d2wI3gg9oUNRMmqHvAYaYU1g7rCe2w3xM7oilqbHniufALXsXgoeyBBkrC3fhzeahmLo5sn4KMdE/DuumH4Ys8kvL9pLOFW3tgZ+Oq62XhvA4FXBRX2KFlsAp7IGohHMgbg5fKhBNMJeDiuD+6JHYLYcRZw79sJ0aMtULWqH3YEjMBjJTPwcvMcPF0xCfekjsDh1pl4a90cPFcyHk8VTMAHO5fjvS1L8FLtPNyaMRvPtHniyJ4A3Fe1CtfmL8X21AWmGtddVW64r9IZtxbZ4JVd4Ti8NwCv7XDGGztX47ObbfDOvsX48Pq1eHffGu6/Eo9XTsDBdXNxaOMiritxQ/ok3JQxDQd4vBSbSXCcPQI+SyfBa/FkLJ00EjMIsLPGDMGMUYMxb+xQrJoyAv4rJqMt0xl31Xvh06er8OED+fiSAHvs0ULCbDGBOgtfPJyP44TU48+U4fTBehNicPzxMrx3axI+vT8T3yos4bFCfPFgLk6/XI2vHyfcPlNydZ9yAnAdvnqiDMceL8XRO7Pw1g0J+OrxEpx6vho/vdGKHw6vg2S5fnpnN84c3ozvFZf7UgOOPVKPZ7floNBvjUmCyvCwR5YKAwQRJvkq+6RQAz2vkpESzKZ62HFbQqgy8/kMKsa2hPZDRRgEv0pu1WyR1FQ0na7nR8+ZChlIuUBx6JLoUlJlrle7x1KJTPKQKqFMIKxz5hJWNSBWOJBi1CtoJxTeUxqk50vnl1dXsymEYcW8cpVHWfHwUm1RYpkSQ3P4vKYQRvN8lTTmTvhzQBb3E6TrWjVwlbpLueLnE2hnCJ9lBM0a2mUl01bweioJ5ZqBKQ0gRLusQbYXB+m8VkG09Gdln6vZ7iJei2xtGY+VShDNp82W/rfCBMrCOFAw95GvmrHigF9yXUnO1oi0W2muOUMzV7yfKsoQQ2BVPGwy7b320b30X7kUU4cMwKQBvZBCmyTN7wLaoCwCbgfMdiwdS8fyr1r+EmZjPByRE0hDS0Ofp8QAeWY5cldVnfxAvicoNcVFYHtuIlT9qySUYBrjjT05Idie7I36EBsa1rU0lJ5ojieIhThhO+Hy5tJ0XJMXi2ZuW8l9agmj8s4W0wjXRXmhIYLbEpw3pAZjR04EodSLBtsNrcn+hD6VwfXBRgLj9sxwtMT7ojLIHrkeq2jQHVFFo17mzw4n1B3/D3tvAV1HlqXppm0xMzNLlmTLlsXMzMzMzMxkycycYIa0nelkZmZOJ0NlMcybrq7qmjfzv3+HnN1Z1ZU93TNds3peK9Y6694bcOJESLH3d3ZsGKSwXajJ4rmzMcExrLSVY7G+mBBcjD3N7Lcyi1CXRhAtILSLYksjnObzHKulZcUSM0EFsFxfshpoVpapbJeE4UcG67GT/c1zHOMVkjaMY6zNwSwVzWS1ZEhIRUNqKCQSWAJHZhuLlNQ98zz/fE0RwTQX25uKea5Cgqrk283FcnMR9nTX4eBAJ3a312N3V50SVNZNZSJWH8ns0JdGRZOVooDsbFUOFZCk/olXLEftafLKM0qxME2Iby2hVyxFopT6CK7yWrQ5mTArQS9U+C1Udnn+GxHgYoGMIG+kbvWEtb4mNAikq1bZ1fYvWWa/h1k9AquJqgoM1q+HhVhmjdVhp6UCfZUNSulbbX4aq6vAUu02bLVQw1YzTdjyt6eBKmIdNRFvq4YsZ00UeOgg2UUX4ZZqCDDeAC/N2+BnpKqArA2bP+G2dpMGjpYa41CRMep9NRBkoIIQni/bThX1PpqYCNPAGzv88OSoPS436+KFOTv+dsJLk5Z4i1D74QEH3Dxgiy8OO+OjPfb4iL+/OOmBb08TZlds8MEeAu1BZ7y/zxEPdxFm243xzKgF3llxwKMtBnh20A6jfmqotl2HOhcNrCQYE6xt8MiwK55f2ohHeV4JPnthyg1vL3ng6X4bPNFjzf588PayJ57ifqfrnXF7gycengrGpV5fHKlzw75yd1zoC8WN6Rhc6PbHwXIHPLc3Hc/uCMcrB6LxBsH15rlgvH3UD59eiMH7t0fipT1b8eTsRjw86YknFv3w2Jw/rgxswvFaF+yv3YKaSFdEb7RFnK8DUv3d4e9ijY02pvB1sIQLodabk5hQVwtUxHji+HgOzo4m48vHp/Dh1W58/gBB9sEB/OLZSXx5Xx++eYS/H+nDt48PETQnFFeC7x4ZxifX2vEtt31L8P3Jw/xk+9VzE4TZfnz3WD+PH8VPHhnksaOE3RF8dv8A3iDIvnO6Bl+z/+8eH8OvX5KAsR34rVhkX9uLX722G796aRm/fnGJkDyL986NYG+7uNxw4sn/5QE+3/3FiXxGJVVWBiRDR21cMLfHEwJjlWAvidYXIOwhrMmbFrFStmVyopcVTZnG54DPhbxalwAo8X0VIJUUeQKPAsOS8quZ4CwR/5JeapSwOkUwW6grUCbBEgDVyX2V54/7SmotKX0rOaOny/MV6+1QMWE1Syydq1XEpCBKY3qMktt2iDJOcui28bns46S0Q9YTZscoC7tSYjk2KSpDWUu5KNbl0aJMwmsmZd7qGOStlfK9KhczBNNZQrBArjzvrfHBGMyKIeCyD45D3hQJyEqWln6OV7IUTBDkezIoO3nvJsrSMUNZOEdZNlRAcM6LJ4THKPAs4CvuXWIhVibFvLdLdaXY09WhBOa1poVR/kQr3+V+RXq5wNPKmHJABXnBmynzCjmhSERTfNB/aJjVP1m01tba/+/alTefwJdffvl/RfvfXX4UZsuigjDC2fqJwWpsJ3jOiCsAgW+8QkqiyuvrbApTAlhrKXZ1lHHfJCxXp+HJ/f14fHcX5oqjURPrpqTMmiNM7m0qwP6WIlya6cLpwSrsayIcVsirrwQK1Ej05sYqFtqlGoJebSGmKfBny1Kw0pCF3c05ONlbhaN97dhRm4edYsmsyiCQ8vj8GAr+WEiuxP2tZQTVEqw0ElCpFEYFlsvTMV+XrfiuiuWmNzsWO8S621LCfQm27VXK67VeKpY5CvUlAuvOhkoel0MQzsd2wu0Ij2tJCaayodKMD1T6HpEo5BIqVY6/nefv57ruXEJlejSG8iWzQDLGqYzk9Z2k8JqszMGOphocbG/AYnUBobiIfRcSSnm9HM9ctVRYE3cErm+txBzHJsFtYpUW37XutDjCKxWaRBuXENCpACUtmSjlLl5Tc1qkElWtWJ8V39ksSALzPipuiVSWFGdKyq+sBH5Goy09CmUhfqiMCUB1cgQiPRxhrqOpwOf3oPrPYXZ12w9/i3+tFmHWUG2D4jtrrLoe1pqqMFBRhdo6KcKwmhlBfd06WHL9VmtduOtrwEFbBWF22oi1VUWGiyaS7TXgr08Q1lyHaBt1xNhoIMJKHf7GarDgsY7q6xFN6G3Zpo2TFWaYT9JBgYsKfAjFkVLAwFEdNV4aGA7Rwlt7/HFfpyXO1ujg+TkHvDRni6cGTfD6dnu8t9seXxxzxueHnPDuDmu8u9uaMOuKn9zlSZi1xqcHXQi0jnh7hx0e6jLG/R3GBFBLvLviiJcnrPDcsC1uF19dLxXUuqlhjjB7vMwaDxNSX925CU9NOeGhbjs8M+6BNxddlNReT3aZ4v0dnkqVsaf6nXFHlT32F9jiYo8XTje5Elwd2dxxqMIVj87F4p6BbThWbo0n5iPw2HwAXtgTivfvisJvnkzHu0c246ursfj4rgg8v7IJzyxtxfkOB9w3thHnO13wwGQQDle7YaVyM5qTfBG10Q6h7taI3+SOrU7W8LWzUGDWycwQziZ6CLA3QU9eCCdSyTjSGauk4/rkRh8+uNKOz+7pIaiO42dPTuGXz44TTnvx9cM9+OlTI4TZMcLrID6/t/MWzBJ0H+zGV/d34WePD3L/UeXzF8+M4udPjuK7Rydw8+5ufHJPN964vZqA2kBYHsRPH5/A715Zxu9e24n/R9wMXt+L3725D797Yz9+9cIyfv7IDL64ZxL3LNYTXCW4a9WtYKw8Q4E9gcZhPouSpF+sij254mYQw8l2iuJbK8n+m1PCURsbgKbUcD4nEQRabmcfremRyqt8ef0vkfviliAlXaWSVRv3kbyukqVlSt66SDYDyj6RE61p4o8erZxPzqtkViiS0tzZWKyRiW8e+yQYKq4KmZQH6VwnFQHz0ZQchbpkypHECJSEb0ZLcghhVd6WcEKdn4hxyhEJfBUDQj/PLRljxKq6XFusuFfNlsvbJcpOeUvFCfE+eVskMosyeqWeE9wS9sV7NMXrm+F9maDsmKIc386J/e6GfMpoTq4pI+Yol6Yk5yxl+iJl7hDly5y8HavgmHnMBOFXgsTGObZJXou8yRK3rXHKlGmOZ5BA3JEZrQC53K+65DCEuNjA18oI2zhpctDSQn74FkxQ7k7yvo0Wpq7B7Fpba/+H2xrMUui0J/orELqnvQzzBMfhvGjCUzRn+KmEsWyCaCZ2NuZxlp5NCMtEa3KgEnSwv7MEh7vzOIP3R36Ai2JN6ZbjKpOxu43wS0jb30hIrEjGENcPF8QqWRMWKGRF4A1SgYhldndjMQVuKrZXp2ORx86WJSlwu8jz7iP87ajKYh8p2FWfpViEZ6kMthO4D7YXY1eTvMrPwgLHtp2fKxJ1myc5FanwsiKxs74Yp/qaKJQJhzyHvK6UFDeDYhkpSMRcRS4mCY3zVGJS/KE9k6BI5SbBaDJGsVCIZWOIn/LqUDIiKL5uqXFKzkbxIRPXjGEqgrGiNCzU52O8TIox5GN3S6UCyeLCIMFv8wRdSSE2wb4lYlleG8r+k1RYkhVhsJDjZv+iKKVNUunOyHcqGMkdOUKlJfvIK1hJvi7jGGffA7zeXsmOwLGMUsH3pRO4szlOKkiJWm6MD0ZzQjA/A1EQsQWbba0UC6pU/vohrH7vO/v973/6vvpbYFZbfGZVV2HWQE2FcMt+1t2y8BJEBYhlPxMNVTjoasBcbR2cdTYg0FwNsQ7aCLVUh6fOOmwyILA6aSCJLcJaDaEWavAg9NqwT3uV25DkqIrhGD0cLzXBQKgWkiw3IEBXFfGWGih00UCVlyb6AzXx0soWXGuzwplqfcKsM15ecMAD7Xp4bsoary3Z4MuTXgq0vrXdBi/PmihZDr6+0w1vbjfHzQOOeGenLd5Yscejfea42mDIT0uCqQNembbDY53GeHbQEQfSDNGzWQszUQY4WWqFJyY34tWVzXhqwgmPDbD1O7B/N7w0ZY9n+y3xzrIn3l5yxxP9TrizygE7Mq2UggaHKxyxu8gee4tdMRxnghNtvrjUsxFHS8xwY3Qz7p/ahmd2huO9Mwn47Qv5eGO/B26eD8Z7twcQdj3w2Jwfbm9ywJV+L8xnGOLe8RAsFTmhN9UJNQleCHazgre1EUI87OBPmHW3MIK7jRmczI3gTbD1szVBY+pWnJrMx+3DCXjqcCk+v68Xn9/oxafXu/HxlW5C7AR+9sQAvn6wA9883IXvHh/g7yHCaA9/9+HLe9uUsr3fPNCFrx/oxpc3CLiP8vdDPfj6oW6uIwTf34+vCMnfPjiAd+6qxyvHy/DdI0NsI+xvFL9+fh6/fXUHfvvGbqV87u/YfvPCIn768ASPmcWzR/swXyvPAyeK8lwRthZqCvi/nkHYzFGeDSkpK1lMJCCrVyyJnKRKcFN7Wgz/z1cDIsXyKpA6rLxWl8DT1XSBYr0c5rMqqb0EiMU/VSBZUgRKk7cg8gZKXHQGCXsDfOZkoioWW7HOivVUKa9NgB3OS1t9s6MEefI5LlgNFJWCKOKTKqVd62JDUBHpr0yw5Xkd53gmSlIwS+iUia2sE4uwyAQpHbu3uZJyq4hwynHmSzGZVOVN0XJjKRvlaU0mxvJi0ZkSglHK1O2E3R11eYrb1nxpMuVgGpar0rCzNhc72d8SJ+5TvIbthM2d3HeW558mSM9y8i8BtNMCwbk8B8F1gTA6LZOHkiwek0pQTkRrnD+vJRa1nAgH2NgixtMRIbaWSORnZfQ2VMeGKb7KgxyrZGMYIBivwexaW2v/Z9sazFLohNoZISt4I6rig9AYtw0daaFoSfAnrEUrFoClWgGmKFTF+iMn2AfJHtbKK6eBvHg0hPmgJWYLKglJ7RSu9bFbqBCSsLetAHsIwDsIx7tqMihApdIMBWpttgKzbSkRFPThWKawPdJVRaAtwHx5CmZKqJh43gkK5Xkqrt21BRTMWQTbdCzX5ykuC9MUzPMlFNpUBvIKXnxjF/m5SGU1U5SKsfxEJTeugPUOseB2VCrZCMQlQQB1TPbh2MVdYSiXQpjKcIHnkvRao4TKpZo8wnuJ4qsrpXzFoioWnTFCp5TMlWCObgKjBMENEBpH2KdkDhBFuFBXqCioJUL43uZyKrVElCcGozxqK/ryEjDLPhUrLsF0VqzDki2BymqY+3VlxyhgKsp0ukzgO0sB2UmOfYL7D1E5ywRAlKRYXyUNjmSeGKAC6U+PIszGKspJCQAR32ceN0BlXRrqh6pIP5RIonUPRzgYG0Fzg4qSY/Z/FvT1wyaQqqOiAj2CsFhoNTds+McctX++3zqluIL4zxqrrIO9tvjWasDLUAMOGhvgqr0eYTaqCLdVRZDpOoRZqWCLoQrs1DcogWI+hN3CjeqYTzXEsTIzNG9SR4jeOqUqV7K1BorctFDmqYmeIC08MOKGszWmOFWmh8fHHfHspGQ30McTIxZ4cdoK39y1FR/tdcUrM1Z4bpwwe9QVX97hjteXTPDJISe8sWiF15ftlVK5l2sNcX+HGV4jEL/Ifh5o1MMbs+54pNMJs+E6GAnSxuEiCzww5IxXd/jipTkXPDXsiIc6rQnHq9bYx7vM8OqcB95c8sQTQy441+CK2WQLnGrwxT5C7HKOA/YWuqHBTweT+TY4UueAY1U2uL3VDRf6vPHYcjDePh2LXz+TidcOOOG9U754+9gmPLXgjkt9rjhaZ4/THe7oi9LEyRYfzBU4oCHaBgVhBAw+l56WhvBzsoKvrQVcTI3gwU8nU0P42FvAx9oQeWFuODmZh/v3FOH+pTTcvN6FLx4YwGcE2q/u68dPHurHTx/vw08e7cSX97Xii/s68OX9Hfj83lZ880g3Prm7ET95pBffElzFMvvF9Q589WAfbl5txafc51sB3vu68em1DgJyJ145UYFXT5Qplt0v7u0iGI/jlxJU9tISfkOg/fWL8/jdq9sVv9yfEqS/fnAab941guMDhXx2YgmziXz2+HzwGZNnQ/xSJd2dvDUS+FOyBGTwOeZ3CRqV57xfJrM8rkeeqTzxteUzJZZIwp28gZKiAeIXO0CwFYvrICeQ2yVwk5AsvqlLkkqQz/9ivfis85nn8znH7VJJrFMCsDhxnOCzLumshiQlHmWA5LuWQixS8XBSisQosqCYACv5cVfPOVPFc1QVKvJnUtyeKFvH+an49XKM4pe/SPmxVJ3PST2hks+yxCGMUnaKHJFS47MymaecHM8nzCYEcrIrGWjysa+Zk37KwwP8vlLPYykf5yqysI/yb6k8lSCbie2UkfOE6F21Ik/ZL2XgZEGCsm2K92Ba7ivBtodypDkpits5sS6IQ296OO91MgqDNyM/2A998oaK8r89I0KBbwmE68qMpUyMhBRjqI/Ztgaza22t/R9uazBLoWNroAUrPW1YaKvDXlcDmyz1keBtg7q4AM68NxOCvNGSFojqmE1oSAxAT1oIATEPd4xVY4TgOU0FMUahLUFeoxR+i9Vp2NmQiZWadCyUUkgXJRJmEzFPIF2qziCASbBSjAJwO5vKsIsCV8B0viKVglqsoQnoYxNAnCXYzVGoyys0Ec57G4sJyNkE13SMU0H0ZcXxnCkUyLIuDTNiZSB4CiSKH+z2phIsNBWvVt7hfvNUKEt1RQRVKoyabExyfwUsqbTmqiVYLIPr8wiSGYRvwjUVpCgpiZ6WLAwCh62JEUrS8gGBSx4vPm/yinF7UyWODHUovrY7eM4VxedOKnBtQ3aAJ5rSIlbHIhXUeC8WeR+mxTVBxs1rlOA1SXguQD4nSpWgusDP3VSu+wj1YwKx2bG8d1Ru2cnoSo0h4MYr4+/PjOLvCG6PVlwWOjKiUJ8QqvgVSgR1wTZPpPg5I3SjI+wMDaCxbgNh9i+tsf9yE3DVUlWFFkHYQFVFqSD2w2wI3zf5vQq0t8Fak5Cqqw4jlfUwIvw68XeA+NIarIef4W0IJMz6m22AldpqeVzJWRthuR51/hrYlWeKlXQDFLlwf5312KR5G1Ls1JDppI40WxU0b1HH7TWWuLPCBEcK9XCjxwbPTjnikW4zJbvB02MW+OzUJry/yxXPjpnjmWFTfHbMG1/f6U2INcMXJzzw+rwV3trhike7LXE3YfaeVkO8Om+H1+cc8UyfJZ4fdcIrs17Yl6qD4SBN7OB4rrZb4aUlb7yy6IZnCdBny7Tw+qIn3tvljfubTAjCbuzTG48MOOPOOmcMxZhgIccFOws9sZTlgB05zih2VUVHpBH2ldvjQqcPlvKsCKeuuDTihef2++OzK+GEWC98RBh/hzD79JIHLvS44UiNA042u6AvWge7ylwIIY6cSNogX4FZG2xysFAyVXjZEF4d7OFsbgpnSdFFmHW3NEBKgAMO9Kfixbta8ezhIrx5rgkf39ODm/f24LunRnDz7mYFWr9+pBOf3dNEaBVw7cWXN9oIql345FoTPr2H+zzcg68eEKsuAfdau5K266tHe/HBpUa2Jrx/sZGtCS8eK8G7Z2vx04eH8OW93fj2kRGC+iR+9wph9sUF/JfXFvHL52aUjAa/ItCKK8NHVyZxfXstAS8W05wMD/H/u4vPufh/y0ROqtoN8tkUEG1OjkYbYVbKwIo//BDBTwJIxR2nh8fJfsPFSejNilV85aWUq7gBKUFM/C3ls+XV+PaGUiUvq7yNkuwo4tbQnhqOScqZhdp8ZR9JSShBmDIOedsyXJjOZy+DMBuPlpRQAnSC4qu/UF/E40SW5CnBYOLfusTnd7aKkFvEcxISJYvLAuXNoLgviCsE5cQ0ZZC4Ps1wH5F7IgfEejrCCfYwJ/DixrVAmN1BubWvIQ/jPHaO8nJfQy4ONuXwMxPHukpxcrCWcrVYmejuFMit5TF12Viuy8MkIXdHXc5qlhkZA69frLczvFdLlRmUR2no5L1uSgpGY2IgJwthBPgI7Gwr5meM4tc/K9bkct7nMpFZCeiULDE5MRjJj6e8zEQ/7/V/ZJhdW9aWteX/7uVHYdZCRw9mGlrYaGaAQCrBTUaGyA/aorwuy9zohsaYYArJCgJqPk70lONgazZO9xfg0mQFdjcSuihgD7aVY4UCVmB0vDAO06WJGM+P4zYqiyKxthL8CgipFHrV4VsIx6EYr5RXf9noSItBfWwAhnIiKdBTMEdhPV0lMLrq77VcTdCl0JWgr6WyZOwVi2wJ+8+Lp3AnsNbkEHLLsYP9TXGfWYLoQcmJWyHBU2JVTUV7dgyKw3yooMKU4IgZKo5Jjk2sN925sZCqZZJtQNKCSQCHRDb3ZiVS2aQolh6xroyXZ0ASug/dsrQMUwHIK0D5XKgvwGJTKWZrCMrNFZin4pjjuKfYWnN47dxPkrqvtFVSMYqbBZUplYaUnBwvSqaipFLk/eomlMorw0nurwSt8V7sbRaXhRIs8xzjVMLDWVRiVKbLVMoCwjsIzfOE9xH2I8F1Q/mJSuRxUcgmFIdvRlVsMAq3+iAn0AdJQb7wsrOGuZ4edNQ1bsHon0PrjzXZV2WdlMFdDy0VFWhsUFXWfe+SIP0IyIrv7AY2zXXrYaOtAT2CrAbXm6urYouZKgLNNyDQ7DZsM1+Prcbr4Kq1DiYEWWft2wi465Fkvw79hLXt6XoYjeHEykYVG7U2wI/7pdipIt1RXSm4UOWtij15xjhVbo7ZBI3VvKvTLrjRboZ720zx7IQ1vridMLjTBY/3GbOZ4sMDXvjspBfe3m6Nr2/3wRtztoRSR9zbaowrjYa4jxD8/JQd3ph1xJvTjniowwTviFW02hRzcbpYSjLAjW5nPDfrjVcXvfDynDtO5qisWmaXPXF/iznB2QWvLXnh4T4nHC21RT+htSXUDL3R5ljOdsZ0IieK3gao3WyA/QTSe0aCMZZggl0l1jjb64oX92/FW8c3492Tvvjg5FZ8ciYEDxOqz3W44mClPU40OKI31gCjaTYEHi/kBdugMNIDkZ72CPZwgIOpIexMjfh3toWbhSkcTfSwyckKHhYGiNpojn19aXjyeD2ePlyKty+14oPrHfiUYPrlg90E1RbFV/bLBzrwOaFVLLHfPtSDz6+38ncHwbURn93bhi9u8BhC7Hvn6rmO+97XiS8e7MLH11rxDuH148sE2vONuDGTgLdP1+InDw7iq3u68dPHRvELtt++NIdfPzeN//L6An5JuP0vr64oab1+8vg4vnlwBk8d7uSkk/CZF8PnT6L8V8u4LtUWEmgTMMLntY/Pv/iwisuBPIMdqVHooZwR33bxTZUAMpmAynMhrgjioiC5mJVStcWSliuFz6JYUzNRHRvN/fidMDtPWJOJZe5mVzTFh2CluZwgSQAuTOMzmqr4x0p2EpEr3ekxim9tFyePtQkhlJnZ2NVWQ7lUhJEskRGJhGTCaRknrpQfg+IXy2d/gRPaJUlHKKDK6xA5ICn8lsSXXl73E6anKWPEpUpcqwR0J8VowGuaK0nCfHEiBtIilWNnCPA7qlKxozpdcTHY21KIeUllyPWK7yzPNVeSggke38vJrqzfznU7KU9Evu6SwjC8RzPsU3lbxTGJW4dYkMXqXBa2BTUx25Dm54oMPzfFnUwJNKXcHON9XKwgBHPSMEsZtkhgl0I0azC7tqwta8vfavlRmG2J9UdbWrDityWv2mUGLmleTo00KpVepinw97UWY6U+H/vai3GoJQtXpqtxerCEgjcOc5ylC9AO50QrflxdbLOEznnO3HfV5WKFwlLgTCJduyhMxaopfqLyGk8KIPRwJt8UH4jezHAM5EZhgv1NUEBK0YQpCv45xeUgjcI7FCOZITxXEqYqkgizUQQ6sV6ID5tE70ZS8VHY1+ZSKVBAl2WhPydRsTQ0pkSgPDpAOb8ohUOdVUpwxSD7HiEET1RnY6W9CktNVQpsSiL1Vb/eJEV5ik/dMBVCP4FcfPAEbMelqALvz/a6HBzuq8O+7jpCrlhspARvIXY1EWybJEhkNWfuSkMxIbcYvXlpaBNXhcw4dCSFK6/oJNXZCKF/qoyKri4fDclhSPf3RH6oL+9XqBLsMaVYc7PQlx6vVFmbqc3jvUqHBNT1Ki4KiQRwKta0cNREbEFFxGYC/CaUR21Dpp8niiP8kR/ujygfTziam8BAU5PQ+W+1zq66GwjUqopl9lb1sO/bKsyubtdXVYG9vhYMVFWhw309jdQRZqOOQAsVbDVTgZv+ethrrIOt6jo4qhFkjTcg1HQdyn3UMZthiKFIdRR6qMFHez289dQQbKKqpPVKcVBHDEG4yF0N86kG2JtrisEIddzVYIOHBp1wvdmMzRRPj1njvX3iUuCIxwizTw6Y4p1drvjkmBc+2O2Eb+70w1srznhxzo4wa4IHuyzxYK8VHh+0whsLjvh4lweu1evh9SkHPNhhhaloLWxPNsaD/Z54asyTwOpDmPXAmWINvDztjNcIvY/22xBibfDcpBMe6LXHgXwTjMaZomKjDloDjTCb5oi+CHM0B1igwE0PB6o34cpgKCaSzAm0Bjhab4uHpj3w5BKB+OBGvH9yGz4/G4HHJ9yxu9QGe8occbLBGQsFTqgjIM+U+iHdzwqpfo6EWVv4OVvxb2sISyM9OFuaw93GHK7mRko1sPhtkvHAFLt7UvHcHW144WQ1Xr6jAm+erSaI9uKTq00KqMrnx3c34JuH23Hzaj3bKsB+dLUFnxBqvyC4fv1QHz650oKPCK2fXG1TrLRf3NeFm9fb8S4h9t1zDXj+cAkuj0XjrTur8fWNXnxzfy9+/vQ4vr3WooDsL54cx395eQ6/fHaWIEuolYpjz07jyxsjeO2OARzuKSCERvJZSydASTAWn28+J8qzwudukFA2IG9WCGSSS1oCPsWnXEpzi2+sBFVNl2cqUDbOtlOq+LVw0ttaQbDlBLk2G/OcGEuEv1htxY1hXCC3IJ7yj886AVhgdpqT4pWmstVMLhLsVShBUvmUT2no5LMmQak9PHdnlmQFSMdKXSkn2MWE1gzCMSfz3E9e2c9QBs6WZmBnYxFhNocT/jSOTbInSHosQiTlr0xOxZdfXvdPyJshyifJ0b2dz/o8AXRK3BW4fZpNXIskYLWHY5ihfNjOif0oQVOyvvSlR6CPE2N5oyXuBKO8P/2UN20pYTwnZQnPK2+l+lII0fzczns2XZTI/Qjb3DbBJpZf2d4cQ93AfiWOojTIAz0ZkQRsCR5LRE9qOCE5gfsnYYTXOF+5mhZxDWbXlrVlbflbLT8Ks/vLYnG4OQO7GnI4s5cALfHvSsGpoRocaCvGYH4MmlOCCGkEudIECtpY3N5fgvOTNYRGgmytBDUko1dS4iSGKa+ZxAowSoErr7XmqFAm5DWZvMYikEkEbTehsi09WlE60xTgC4TVMSopSQIuZWonRbhyhq9E1FJYjuVHoj3BHyMcy44G8Sfj+ZKDMZQRhgFCrPjpDlEJSalJOXaWSkTcESbzkzj+eIJjNEE5btWNgGMQ/9xxnkeubUKyN4gS4fhGqDjER05yMU5RoU0QLiX/rViCJio4VkKzKLpBrpO8jbJtrip9VdkQ2iVdlpJGqIj3hDA+wnsmfm6TZRmE5CzFsttCkB2gwFdK5uYT8NOlMpC8povFXKVYUBJRQwANtDXHJmtjpG11RVNyEFpTOVFIDsRSXRbHmo6a1DAkbHaBv5MpwtwtkR/iTWVOxcLJQE9aBCcW4WglFEsao4qYQKQRjrO2bUSosx1sCZni/yquA99bVv81bdX6utrUVFQJsxu4/i/dDFaB11BDDfYG2tBevx6mWqoIstPBZlM1OOlsgK32BuhzHzOV2+Cmexu82ILN1yGf8NodoYfxJD3UblZBoNE62Kmuh7uOGkLMVJFkp4VUB21Emasg110D0ymGWEgzQ0uAOo5XWuNquwOu1JvjvnYrPDtmR5B1watz9niizxDPjVkqOWQ/PuSOTw974Kdn/fH+Xg88O2WD+9pM8WC3Fe7rtMIDXRZ4ecYeH+x0x73N+niyx4IgbI/5WB0sETivtjng2QlPvLvLD6/Nu+PhTgs82muNV2ac8dSwHR7utcEzPPeD/DxZboGpFAtUeuugcZsh+qItUeOnhyp/K2QSZneW++JUy2ZMJ5lhMM4Ae8otcVcbxzPhiKcW3fDGwa1473gIHhrzwXCaFSZzHXC00Q0n27aiyM+Ez04QUjbbItDZApHeDvB1soSTlSmsjfRhZ2oIN2szeNqYYrOjObKjfJDqb4PJmhA8frQezx+vwquE2VdPleDDi7WKFVZK8X52Tws+vacJn9/L3/e38rMFn91oU6yvkrbrS35+SXD9+HIz3jtXh5vX2gm7HYTaZnxwuR4vHCtRfGWf3FOAcwMheOdMFW5ebMTn19rw62cn8IvHhvDb56bwW8Lrb1+cxq+en1Z8Zn/z4hx+Rcj9yUOj+PDyGC7O1BBWozEqzyaf55Fi8S/l85Ipuail7KwUdlktjCDW24H8OAV8R0oJr2zyBkai98WtSWTMPCeAk3y+pwmSI2LNbCnEYl22IrtmJXCUckl86MVyKc/sHNdJmj7xh12sKVD8QwVgZb9+Th7H+DnK8/cQGqW/XgFqTiZnOJGWbAjimiDBZv1cN8wJpxgGZmQcPP9EURq/UwZQLgqcyxse8YnvJYR2ERDbksLQkS7wHqvI3REBTe4rx61U5yrBsQtK1gEpxy0pCimzCb9ThHaJB+jjsfL89xFgO1MilUDWYcrSjtQIXg9Bldc0JpPfZMpLyqvlW3JR3J3EwjrCMQ9lRGMoLVp5AzbDifyYTOR5j3spY2fFl5fj6kwKQi+vf5T3YpD9DuRLkO1aBbC1ZW1ZW/52y4/C7B0dGTjQkEbBFYrB9GDO2CmsCLM7CY27JXdrQQyF6zYM5UVhmqDUER+kZBc41VvC7elYFouAWEQIgBLRL8JyojgDEk0/SJDqTItEU2IARtjPJJWQ5DMUwJSZ/WJ9Ds9H4CuNx/bKVOVVl1gZxOd1e12xEgghAWTTRRJgEEKFEYmlimQslBGiKUDH0qOwm+Pc1ZSHgbwESGTyRIm8bstRLMJjOckcMxUIoXS6MI775rG/bCoCKjuuHyZUy6s6CcgYoyDvoULqocAWtwOxUosPmFhyJXhtuSELy40cL6FW0gb1ctz9BGhRNquWFEkPJiUhxVIqlqIkdKfFULFSeVAZDFPhSES15GnsyVutJrS9tVAJGpOk7Iu83l0tZZivz+TvKFTyPueFbUVF1Ba0pvijNtoPFSG+VFCRqIncgjAnW/hYmMDT3AguRkbIDdmM+eY8TNdS2fHaFqh4x3OpLHMkP28kcgmzUW7W8LMwhI+pPozUpJytWFb/yU1gFUj/53ArECwgu2rV/X7/f+pH0n6ZaKopvrW6G9bDXl8dLgbiO7tOKbxgsH4dLFRvg7c+m95t8De6DdmeKuiI1EVvlC6aAjUJrjyO+1upbFAqg0VYaiLFQRdJ9joIN1NHkoMG+iL1MRBpjCIPVWzPMsVdNZa4UGeO+7us8WifGZ4cMser84TLYSO8OGVF4LTGh/td8dmxjfj5pWB8eNATz05a4Z4WY9zdaILzNUa4h2D7SK8x3l6yxzODFjhfrIGnh52wO0Ufs9G6uKPCHI8OOOLtFW/254IXRh1xX6sJXiDAPjNijwe7rPDYgA0eGbDD2XprzKSZo3qTLmr9DHhdpijZqIdSf2ukuuihN94eSwTUvgh9TKRZYj7XHIeqLHCd53tk0gMv7g4g0IbhniE/tMRYoy7GFntqPXFpOBKVATacdAVzQmMPFzN9BHrYY6uHA5wIsNYmBrBhc7Uwhpu5AQJczJET7oGqJE/+//rj4YOVeOlkLV48UYZ3z9cpfq3vnavGlw+046PLdfjwUg0+vlJDaG3B1w+146sHO/Hx3S345B7Z3oBPrxN4rwnMVuPm1XbCZwu3N+GDS3V4/0IDPjjfjEeWc3BhOJygXI8vrrUqmRDk8+cE4p8/MkywncFvXphUCi/89qV5xYdWMh189/g4z9GHx/a3Y66BzxUnuuIWJG2c0CdFAGYpl6YodwQCxcVHoHKsOEl5ZsXSOpybSIDlhJiyRvzTB3IJZdw+RHAUuOwg4InMGpYAMU6gxUo6yMmuwKycY6W+knIkVXERkCwiQ3kSDyDnkMntqmtAX6ZMPgmmfM7EhUDG1c2JvGRWEDckmRSLm8EIIXCcbYJNKixK0YOedO7HMUpVQ5k0i3/rmJyD/Y6IHCNEdqRGUoYKNEuAmQSqSnxAEuaVDCypytuu6bIswm2R4i4gVttxyt6ZonT0E/glIEv8eccLeB3FhHzC6wD7kPR9g1kEZE6sRzgGyYAyLv3zeoZ5/VJ8pRA8qxQAAP/0SURBVDM5HJ0JEehJjiGsim9+HPo4HvHNF6NAt1h+ed/EStuRRADneLsyk9CcEo0mtjWYXVvWlrXlb7X8KMzuq8vEsbYiwl4MFoqicaApE7tbsrGnKQdHWosoLFPRmRqC5uQQLBKUpgmGAylBGE0LIlgmoi3WDxPliVhuKsCOlhIKdkkmnq2krpmUKGQC53BOJIVkpPJKarE2h4IwlvCbSGClQsqOwGBSIMYIaVNFCQTRDPabjj23/L1WxBeM5xyjMqsiFPdnhClBDNupRHoTQjFbGI9dDbkYpuKSV30DFNIH2spwdbQV+1qqsKOxBDsbC6igcjHDfiSX7jIBWMaxJIEdBNFFwrPAcEtqGDpzYxRrz2RRKhapLMSnTDIqLHMcY7mxVA5xmCR4D5VIEvQEzFARzZVSiXLbYFYkFR6VD/uUoDFRiGIBmuU1iRuBWHbFV1gsOVLGd1drvqLwmhIiIfXlD/U3YGeb5N9NVfL1TnFSMEblIvdDXpOO8jySdqwlbhu6M6lEeM5OThjKw8PRQ3herC3EVEkmFjhxONmai70E75GMcIxQKUqUcYq3PeLcbVEe4Qc7fV3FbeB7N4N/C8yKX+zq9x/C7GoT0JXqYvpqGwiy6xSY1V63DhrrbmOTLAcbYM5tPiYacNdZhy1G6xBvvw6tYRoYSzZAsdcGJDupYpORCkxu2wBT7u+qpYIoKy0kE2bj7fQQZqZBqNVCjY8Gmvz1keGgiiGC8OFiE5ws1cfVZkM8PmiMh7sM8fK0OV6cNsWz46Z4ZdYS7+x2wSfHffHzy2F4f78HnhqxwuVGA5yvNcKpYj3c22GFB7qN8Qoh+LV5Z+yMXocnhpxxtMAUc/H6OFZijnu4z2sLHnh7uztemHLBtQZ9wrITXpl2w70tlgRpBzzQZYtDuQYYjTVEpbc2ctz1/rE1hDkhwVkPGZ66aAs3QVOQHjpjLTg5s8Jirhnu7vHAQ5Nb8MRCOJ5ku6PFD2m+ZojzNucz5IFd1T5oi3NBe85WJAW4wpHA6uNij0AvD3jaW8PG1Ahmutpw5sTFzkALga7myI/0RF9JMGaqAnBhNgNvXezAe4TQd8/X4IML9fj60S5CazM+OFdKkK3CzbsFaivx5Y0GfPdYJ764twU3rzVyfQO+uNHC9a34VHFB6MRbpyvx+h0l3FbP9d344GwLnthdiBszifjsWic+v9aBm5eb8e39XQTWMfziiVH85IER/PLZSfyaQPuLp6fxS4LsL56ewS+fmcXXD4zj7fNDONIj1e+isae1BPOc2IplUKroLTeJixKf4ZocBQTFt1x81OflOeXkUHJXy6t82S4wK5NR+ZzhZFJyr/amxyuWVUkVOMbnUnEtIKQJIIqPrQSVDhEspwmmo5x4NsaGoz0tCl2EuM70MEjav6aEYD7rqZjjeaQ8txKglp9CwJMiDYS/zGgoKQZ5jllOZkdE5nEiO1uSQ3jkc0nwHOJ+ypsoQvJciVhHMzBfmsXJey7hVt5opRFoEwiLMZzQhqMqNgSdGZKOjDK1WAwCHDfllgCwVAfr47lHclPQR7gU67Hkrhb3CzEwiJtBT0YiWhKjKM8FSCkrKVt6M+MxwD5HOH7J7LBSlUvgFZexSHQmRSqgOkZQH+b2IcrWlfpaLFVX8x5lKIYKcefoSI5W+m6Ij0Rz6loFsLVlbVlb/nbLj8LsIsFssigWu+rTcKI1E3tq4wlSaViuScW+plzs7yhCf2k86ghFg2Xp2NFA4U3gm8uLwVJpMiE4QXk9NiwWiHKCaG2BYlmVogez4mZQSgFOwTvB/aeoNGapWCbFilImqboyed585RWcJACX13Az3DZBxbIgVhUK+e2Evz01hEUeK0Fc5WEblX3HiqhsOO55AvhotrgRJKI5MZyCm/Bbk4vDbSU43lMGSXHTkBCE3K2OCHczR6yrJYqDvTBGGJWMBotUguIW0UdB3ZoarlTFkZyWQxTyUm1nmfArORslhc1wVpzifzZG5SSV0ASgZ6ryMV+RhyUqUvGNk23TVLxi4RFripTilcC2idJETImrAvuZr8jCqb4a3DFYg/lqKkwq1Fmu2857sVjFcXGSsL06k00APJ33qIiTi2Il2G2c93Ewfgsmc+Wer+bvFSUveXovjdXjdF8p9pZE42hNMvaUUdFlUAEmBqEs3Acpm21Ql7iNk4JQOBkZQI3gKRD7ffshlP6vNgFk7fUbYKShqqTw0iLQqhJkZb0ArT7X2Wuvh5uBGjz0VRBtuwGlmzUxkmyI5mBNxNipwEtvPczWrYeJqipMVQizmhsQbaWJJAcdhFtoIcpCEzlO2qjw1CQo6iLZWgUtWzWxM10f+7O1cKXJAM+MmuBGkzaeHjbBcxOmeHXeFh/uccV7u1yULAc/vxiKL05sxUszzrjUZILby4xwvNQYF5otcW+nBZ4asyYAO+BkgTburrfG8SJLTEQZ4FCJLYHXiaDrjTcX3fDEsBWeHLJSMhu8MueFs+WGuKPQAPe022FfliG2Z1iiKdAYmYTYVDcjJDsbINnFEFE2Ooi200S5nwEKeQ01IRboS7RGf5wJTnVtwolOX04yN+HOzgA+Z5sQvtEKQR6W6Mv1Jni4Yjh3I0pi3BG5yQ42xrpwtDKGh50V3GwtYWtqAgsjQzhYmMDBzAjBXjZoyQnA4ZFsHOxPwLGBKLx6hiB7qQWvnSzD27dX4Kt7WvDNfS349O4a3LxSjffPV+D9C1x/Xz2+ItB+cp0gq8BrK7834zM2sbZ+clWAuA7vXagjuDbhi3u4/XIXntpbhCvDUfjieg8+v7sTn1zk/tc78NNHBwmw0/j1M1P4zXMT+N3LUwTYCfzs6QmltO0vnp3H1w+Ns78RnBsvQ3uSP59HsYimKAGOE4TDuToCXxUny3z+JDhKsgOIC4DkbhZr6UpdkVJSe6UuX5nIbufzO1cu2VQ4CZaAJz5rUgJbIvzFh1VcESS7gLyhkewJ4usqlQUn8jkhlRRchEFJ6yXp7xTw5YR1qlQKF6TymZYSsanoTl19GyNuCcMCqZSHSiCnvEEiICtp9cTlgMA7USglcVfPJXJT2ZffpznJHSI0TpWkKzJCsguIO5SSN1vcECjnegnJq1lLYtGVFYV2gc5MQisntRLoJpXOxPrcTwhuSYlCQ3KEUjFQ/HLFD1jSi7XymJbEMH5GoYkysyUpBG2pnBxnxaL71rG9hF9JtdUQF4Y27t+aFI7GuBDCrRR6SFQC7lp5rKQprIsJUL63p0rltoQ1mF1b1pa15W+2/CjMNqX4I2GzHbqoNPZUx2FnRQx2VCUQJhMp8Kn8Ooqxr7MK/cXpGJfAiepUpRDCoWZJCZNPyCP45UiqLYkujqIwF6tHggKlYznRWKnOYF8JmC9JwG4C1x4qotkq8TGLQFtaiJJpQCL3JW+tpK0Zp5De21CEA03lhMgcQnE2lgmDIxTgpZE+SN5oh8pIPyqXBMJfBkazQjGUGIgBCubO5CiMl0lQRwoVSQoWa9MVK0p1hC+Fvj8aCYH5fq7I3eSGfa0F2NVUgJH8BOWVnFgyujIilIC08WJRJJmYoTJRKucQzHfUF2NncynmaqSEpeSzjMEMFeAurtvVVIKlulxMVKSjm6AvUdISzDHIMYnf8Z6mPMVPd6EqXSnsIC4Ae6hgj3eUrmZ7yI/FQFYYhrLCsb2U1yUBX7yfC7y34os7JP548QEYSw7FVCavMTUIMzlhVICRGMwI5v2O5KQkEQebs3G4IRVLeUE40ZhOsC3mOYowlRdFxRyDjqStmKtKUiLBPS3NCJl/aZX917Yft95Kn0bqKjAkzEogmDTpX/nOT0PVdXAhyDoTaENtNVHgq4XmUD00hegizm493PU2wJjAq0uYNVJVgYkKwVdrveJmEGapjkATNUSaqiHLgSC4URcF7tpItFRB4xYdzMfrYH+OLq62muL5aRs82G6A58at8dyUlWKFvXnYG68v2ePTk7749kwwvrozBC9MuyvW3IP5BNpqW5ysssS1Tns8PGSPJ8cc8UCvE44XGuNgnhV6g3RxpMoFV5qd8NSIB95Y8iD02uDxIUs83GOFl2e9cK7CFPMxWrijwga7MswwEm2G9nALpHsZIdReDyHWOgi21kW0vT7i7HWRv1Fg1gjFW83RGW+PhnBz7G70R0eaMyHBhqDD/91Ub2x1sUCQiyWaUzehNsYJlXHOqE72RswWO1gZasPR2ljJYuBgYQYrE2PYW5jDwdIUThamCPWxx3BVFM7O5OPKUh7uGonCK3fWKjD76u1VeIMwe/N8PT6/2oRP7q7DBxcq8d7ZCnx+Tx0+vVaHm5ercfPuWnxwvhofX6nHBxdr8OHlOnx8dyM+vFS36npwrVVxPXj3TBU/e/HISh7uIIi/d1c9Pr3chs8ut+LLa+345kY3QXZcSdH162dG8etnx/CLJ9meGsfPCbQ/e2oSX9wYYN9jePrIAPqyg9HBiXQ3Ya47mwCXsZrZQKLuBygrJABrjLArQKmUZeVEVPxlJfhLfDmnOJmV7AETnJjKNslyMsff00qQqbziF79ZyjSCr1ggFRglvI7mSaBUGkYIh+I2IH7yg3xuVs/H57uyXElNJaA7nC+ZT8SyuQq+8jpfXBHEzao/S17d85kjHHel8TlXCprI2KUlKK/q+yl3ulPCKQPERYkwKe4OHPsk+x3hRFWqDg5x/BJ8OsqxSpEWqRgmVleRVz1iheX3XnGVKKAsZd/9bF0852p1QTlvvHK+9owoyt1IxX9WILU9NRrtafxOOFXuL/eVsfYRaAfyUrg9VskLLlURe3ntrUlinSYQ87ONoNyeEoaaaP9bYBuvBBCvwezasrasLX+r5Udhtrc4FPlB7qgJ80R/6lbMF4Xh0lgVjnSVEdTycaCrFHcMNFHBVmGBYHV8oBq7G9Kxr1FewWdgF+F0oSadQpwCNTMSkmR7JCcKi6WJmCGkHW8vwp76TO6XoaTWGsiS12+JnPWHU8hSGGZGUEFEU0hTWYibgBRTICQe7WrAAZ5/X0OOYiEeJSRLPse8Le4oDfXFQn0elgnUs+VxmEjdhrnMcExTgcxRSXUkB6J0szv6CH2jBMTJnEjs5vknCmOxWJ6OCSqnfW3lWKrOQg+Fuoy7h+PpSA3mmMRXTaqV5aA5MQxNicG3MjDkYJyKcLAkSwneEr8x8dVbrstRIo27qLhyg7yR6GmD+rithGAqRSqq3bVZuLOnCkd5LeK6MUXFtMBx7iHwznE8nRLIJlbrYirr5K0YSPbDfCEBPzdKAWDxyWuK8UVHpBe28x4ckGpnEkGcEcr7G4mZolgsN2ZTKaegl+s64jejLXIjhpIDCMQRONpaiNFMgm8u/y6ZgRjNCaby2QxHYwOorb9VvesHMPq/21QFQjVUoKO6XsllKxZZWS/fNQmpdrqqcNRRwUbCbP4mPTSEGKLIR4ugugFuuuthqrYBWtxfk81gw3qYq6yDl55YcLWxWX8dgs1VEWuphnR7DeS66iLDURNxFqqo26yHMXE1KDRRMgm8tOiKB7st8dK8C54m0H52ais+ObYJz0+a44s7NuGb0wH4/GQQnpn2wiEes5JhitONrjhRbYcbPR64t8sJj4y64clJX2xP08d4rBEqPdWwkGuD4+U2uN7uiBfn3PH0hDWeHLfBQzzXi+zrGkG3fbMKtqeYYVemDRq2GqJymwnSvIzhY6oJH2MNbDHXRpitPlLczZDobIhER32kbzJHY6wzykPtCCB+yPC3Q7iLHkrDnQmuvkp5Wj8HK+RHbUJ2sAvCPYxREuOBKB9rOFoYwEpScpmZslmymRFqzWHDdbYmBgj2tkVXcSDOz+bh4f1lODsRg4d35eD1M/V462wDWw1eP1mGD85V4ZMrdXifIPv26TJ8fLkK752vwEeXqvH5tQa8f74Gb52pwJt3leLdC1UKyH5+DwGY2z66VK+k5HrnjHzvwYPb83Co3gfP7s7B+2dq8YkEgd3dip8/OoLfPjuFXz01gV89PYJfEGx/+tgwYVZK4Q7h509N49uHR3Dz2hheun0coyUxKJfJKAFMQExgqyeLICgR/ZxEd0gBF05IxcopAVUr1cX8TCagEvxuWUUlB/YQ4Ww4L1nxM1XgkzAo1lKZQEtu65nyDEyVCxDzuSUUin+qBFwp/qoCznKM+K/yHOKGNETwFegU39hB8bMvEPcC7lNAsC5L5/4izziubMq8TMq7TMInfwsojxdQBol1lsCspC3kRF0CZ3syoxWDgECq+KZO8Nzy1kV8+BU/XAKtxCbIGAfzxMrLY3kPJE/tMFuXWG3Z/yD7lRy2cl8UCy7vWz8hU/zne3mcGBAkKLY3PQZ9HJMEoUoaLklDKK5aAr/ye6wwjfcvlVAbR3gW9wau5zV2pFFWsYkrQlN8EFoSQ9FJKBZf5F4evwaza8vasrb8rZYfhdlT3ZI+RhLthyEnwgO1CX4EtEycm+7E/u5STFWkopew1xAViLxAH+W1117C6/HWPJzqLMHuGsl1mok58UetzsApwu/hpjwsUrj3iG9tXhQms0NxoDEDewiUC4Tcfc05kFyx02wHCLs7m7NxsLMMk+x7hBAnxRVOdFXh2lgz7ugp5rGpWKmUoI5Vl4bWhG2EtgDME+AkcGxXaTJOdxdgJ7cvFMWgYpsnhtODsFIcjpk0P4wmbEYfQbE1JUDxXZ0Qq2khP+X1H4X6Yk0WBXYU+jJCqFQItzxHS0q44i/WlhKMggAPpPk4IGWzM+q4vpswOlUqltMUdBGwI1ytYa+rBjttNbjpqCLF14GKJIrniceupjQc4diONErUcTSVUjzmefy+8mTs5L0YSgzAOK/5roEKHO/MR1eUJyE3AtsrErCD91ZcKkpDHDBOID3UUIi9DdlYqaBiSwvCZGYQdlcRqKtz0BTljzJ/T7TG+qMyaCMSbc2QSbAWy3NjmDcKvKzQn+SH/hQ/pLpZw0JTU/Fv/Wt+rz/e/uX9xAKrTmA1UF0HXZX1SiCYwKxkN5DvhgRVVyMtuEhAl60mSrZoodhPB5sNN8Ba9TaIP636unXQYR/6YuFlH45aKthCCAyz0cEm7hfvoIVEOwIsgTaGEJtir4lYMxUUemigzV8NtxNGHxlyxUP9tjhVrIMHBy3w+LAFPiHMfnzMF89NW+CbM1vws4vh+PJUGJ6b3Yz9+SaYTTHCqQY3HCu3x121NjjXaI3HJrzw2IjArAm6w00US3B/nBl2ZJrhdI01Hh9xxvMzjnhsyAYP91rhiSEn3Nvpiq4ALVRt0kFbqCkqtxijwNcEMU762GqlC18LaXoItjNEipclr0tfqcIXYKePymh3JPtYIjPYFT42xnA31ULCJjtkBLgRZq3gYW2BUF8pfmEDH2sdpIe6I3arG9wIuhbGxjA3NIatsTncbKz5aQAHMxPY8TPYyxqjVRG4ey4Hzx2vxr0rWbgwFo9X7hQ4rcY7Z6sUv9ePzlcSOqvw/ulygmotPr9ehzdvL8Sbdxbh/XMCtQ1471wNPiLwfnylAR9ebsDn90m2g2Z8dHcT1/PzSic+utyPazPZnMgG4tk9eXjrRBle3JeDT7j/Z1fb8VMC7W+encbvX1vAb56fxHcPD+LbB/sItpOE2Un85OFhfHx1AO9dmsTR3lIUc/LanBSO6tAgNMSGYrhASkAnKVZS5bW7ZCwhEEpgqbz2H+YzM0C4kyBTSZ83V57FyaK8spc3NmmKj6kUSJCgMgn+2l6XR5nDCWEFnzf2O1GcTDhMUIBYCRClnJgtk9zPBFDuP1WWqbgMiN+pnLs3L1qBWQHjyRKOjdAsKf3E736yUHJKiwtCHMeUTPkjPrzpGM1NYiMMExRHOdaF6kwey3UEVfGDHeYxIwRDyf0q45kgTIsrggRqjRasysEBXvN4kVQyjON+7J/7DxN6xc92kOMb4ZgEXrsIvGJEGBWwzYxS/OwlF++YgC+/KwFfaVEcX6JiWRX/4Gbe53ZO5ocVq64ElEnVRgn24gQiVWQ7ATpb8txKxgYxZIisDFVcFtZgdm1ZW9aWv9XyozC7tzKGQLaaCibOg8Dm647ykI1YqcvB7rpcLBL+FotjFZ/X6tDNmMyPxLGWDFwercC++gx0ESp700MxRhg80JKHMwOVON6ciyO1mdheQiFdFEX4TSBsFmNHWRJGcsLRmxKI9lhfLBHYTkpWhEaeq1l8TyXyVs4VgZkC9kdIXiL8zWQEY2ctlUpJDCY5jtHkYAwmBROME7BcnoG7+ztxtrsce6uoOFKDkOlmi5ogdxyqjsVkuj864zahJ9Ef7TyuIy0cfdmxaIjZhrIgbyqzDOxtKVZ8T4cyIzBLyBwn7EoFsv7sRMxW5CBniwcCbAwR6WqOmtjN6EoPRm/qFizUJKExIRAhLo7YZGGG1K3uqEsKRF38FvbvrViVdjZmseVjoSAC9ZwsVAV6K64CC1RgO3hvx5K2YZJK4K6eSlyaaMByRTRGkrwxkhGAOR4/UxyHslBXXmsK9jYVURFHKkF5R7pKcLK7EEd5z2eo1LsIsX2cPHSnByDBxQKpXo5UMOFoit6MNE8rwpQF73sAhgtjkezrBCt9nR+pAvbXfv+w/XDbnzeBWW2VDUoqLj3VDQrECsyKe4E6m4WOBtxMteFpqIokNx2kuqjDz3gdLNVWA8NkP80N62GppQZTNRXFSutmoAF/M21sMVZFqIU6Mtz1EWWlofjQxlgTZK3VEEWYTbVXQb3vOhwvs8CVFgdcbLLC5WYzPDBggUeHzXDz5Ba8vc8Vr+9wxDcX/PHtuRB8cWcknp7biiOVNhiO08XOEjt+t8cx9nGyUo51wb09nlhMs0LNNhMUbjRAlqcmBqKNsCPPHJfb7Ai7TnhmwhVPjznj8SFnPNDriYFIQ45xAxJddZDkboAEVyMEW+lgq7kOPI214Eag97MWa6wtgm0M+L+jDz9bQ6QHOCLUyRSBrlaw0deCq0CvhxUS/NzhZW8JJ3MTbHK2QQD/v90tdBC80RZbPezh4+IAe3MrWBoYsBnC0cIYZpxYWRvqwpYt0tce03XReGB3JQG2Ea/e1YTr82l45Y5ywmoJ3jldylaOz6/W49sb9fj0SiU+vlSFj8+X4907S/Dq8Ry8c6YMb3O/d88QeK824ublJrx7tkbJYCBAe/NaC96/RKC91Mb9WnFxLAXHu8Pw/MFivH1XtZIZ4YvrjfjqWit++sgAfvX0OH5DeP3tC9P42WMj+CV///zJMTbC7SPD+OK+QXx6fRJX5xtQE7NFsYz2Z3Hyp2ToSEQ7J5WSFkqyGCglWPl71Qc1WfEt7cmI4kQuUfFZnREAJXRJmxMXIEKr5FsVN4MJtiklhWA6ptnXDL+PEA6nCa6rGQPSMFNO8OWnZAWYLsnhZyblXarSv4DeMIFSqv3NlmVhvjgbU4Wr2QMmCc8zJav+twO58Upg2XjxakaDEQKnVPUbJ7iOEDKHCYSS9UAKKUwUJGKKTWIHZvh7hmOdIPjOcTxKCq7iRJ4/DkO8TsmIIGkQxe92lLJS4Fksvn0SKJYVhR7uI3moBzOlyZuzCEjmhmHuM85rGM2VVH5RSsYTyaYwQLiVIg496Vwnrg9pYUo+2fbUELSmsFF+ioW8nTKrNyMC47wHktmhj/3LPRe3iTWYXVvWlrXlb7X8KMxmuFE5OpqgPNyXzQcJzq7I9XJCS/RWrFDoH2zKwlhGCAVyOGHMh5AZjZPtebg0WoOR9CAMEmSXCVfLVanY15iNI9z/UGUSTrfmYEcxQbYyAbuqE3EHjznC7cvlSZgmkPXEb8L2wigcbVpNvTWSG4HFqmQs8lgB5jlC7Ym2XBysTWM/cZgrjEE/x9GbvAmTaf5YJugtVxCOcyULQxzuZP/jhLeSIC8CggkCqdB7M4MwWy3AGUBhHKoEkkhKGbF+DGTGoSYigEogVbHQtiUFcF0YlVoatjeUUJllYaGSiolKrI0CvD4+kEI9CBM5oYTeICyUJBHCi6hAOBlIjURrYhhBmMqwjEqF4x/JDsYMxyeTgLn8WIxKecjoTagL2IjeOH/e2yTeqxwc4H07XJ+D0wNV2NeQjv3NBPiiaN7nCOxvyMQpQusigf1wZzVmanKRv9kRtVHemCe472nMxKWhKpzuKsaJpkzCGK8tMxDl/g68h7E8phSdSVtRG7oRrTxntZw/JQK5YZsIljqKZfb7Qgd/DU7/qf3LEPt9kyIM+oRQ8Zk1UlO95WYgAWDroEu4dTDQgoO+GrxNCKOO2thqQmDdcBt01q1XLLpq7ENPRQVW2uqwIBDb66rDlyC72UgNYZYaiCTEJjvpIshEDRFW6og0U0OMpRpCjNYjyXYdOgLVcLDABIeLzLEvywhX2+1xo9cSz8444IszgfjgsCc+OOSBn1wKxFd3BeDm8RA8vT0Ih2ocMRRviPEUM9xe74Hd+aZYydTFhRZ7nKp3wViKDUq2WSLb2wyhVqr8GxpgMNEEp5tdcLFZLMEueGLEBVdbrHClwxXjCRYEbTVss9SEHyE2wcMSm0y0sM1KH66GWnAx0oYXoT7W0xwB9kZwN9VFsJsDorwdEOBsBXsDHVix2ZvoYouLFaI2e8DNxkzxibU10YevkxXcbYywxdUGXg5WcLG24L4mcDA1JsDqw9nCBJa62rA2NoCvoyWifGwwVhKEF+7swnMnGvDauRaCbQ6ePJCH1wmzLx3OIpTW4OalWnxxTz2+vLeW3yvwwdkyvHV7MT66KC4FtXie+4ll9uaVJrx3pprA26CUuP3kehNuXm/Bh5frlTRfbxGWL4zE43hXMJ7YmU1QrsE3D3bgC0LwNzc62H8nfvPclAKzP3tkEL8kwEr76eNj+PaRMXx1Xx++fHCUfY/h2aN96M8hUAm4EtTGi1MVH3J57S3PdEtyiOIXKsVHpNDJdGm2AmQCtuJHK76y4vc+V5FJCEwmsBIOKQckVddwfrzypmmxSoItszHP50zAd7Y8i6AnlktJy8fJLfcRC6pA5iyBdp6AKsUGBCiHJV6Az9pYKSFYzsmxTFO+DGWtguZCGfskgMqx8xzHJCFXIFWqFc5zvJNiJWY/U/lsBFIl1oCT7TEC+jRBUYokzAvAcv/l6kyOMU25hsVqqb7IsVQSugsTeE9W/YfFsqwAJs8vRR2aKHekDRNoJ3iOtnjKuYwwBYSnCNVzYm3mOfrF1Yr7dySFoY2Tfnk7Nc77M0xg7ef3Tt5rmbg3E2LbCLjN7LM7nRMKgq6k7ZL0XZLjdqwgbg1m15a1ZW35my0/CrN1hL+4jVYUdnHYQVgaoRCsDvVGT0og9hOWTnQXYrk0hsKeM/6scArgONzeVYazAzWYyYsi7HJ7RTKOtefi2nQNTjan4UhFFM63Z+BkaybOD5fjQEsu+5IiBuynPBknOwtxqiUb+0rjCbuJONySQ2VD6G3IwD7C3K76DOyS1GAdeZjNj8J2wuxiCRUKzz+Q4oNd5TxvXRJWKsWyQCVGoSoZFqoDPBDrYIb0jXZIcXJAdaC3Yq0QC0VrfBCVTQLGJYtBLRUbFY+Uh50uzkAPFWJtsAeVSCjmqZSWa4qwvTKH50zGZG4UpsqpHCio22O3YqmMSrUokkI7XgkeWeI1LJZIJZ1oZdzj2RTsaYHYTjCfItyKsloQ5ZUSjcUyiVhOQWO0LxYI2Yd7SjFRQvgtTsAwgX4gMwRHespwsDkfO3ifDtVl4/6pVtzeW4M9zeUoC9+GYGt9QpIuSsI2YpITi0sD5bjAe3yqPQu7yyOxUhSOkRROREpjsYfnmM8Pw0pBJJYq41ER6Y04LxtEutjAXFNbgU+B2VV3g78OqP+WtmEdYVR1PfQ2sKmJZXYVlNW53oKA6mSgCVttFWyy0MJWS8KWxgaocx81wqzsq8VPa01VOOqpwVZXDR5GGvAzVcc2kw2Isye8WqojxEIdfgbrCYvqiCPcxtpoIpxQnOmkguFYPUKoEYbDNTEVrY0Lzba43m2FFxbd8OX5YLx90A0fHvXGz66F4euzYfj8zlg8uyMSu8ocCKyWmM0SePXB7gIrTCfq4K4Ge+wutkVtiAmSNpogzMkAGw03IN1TB7VhxlgotMeuQguca7LFtU473FltgiPl1ljIsEWyC4HVSB32ehrwNNODm5EmtlobwVFfG5ZyL/g72NUUPjZ6sCfcOpoQPB0s4GVrBlsjfcXf1c5YDxu5LtTHHa625rAlzNqYGMJVKntZmWCbhyNcrMxgY2zI46zhYW0ORzMTbreEmbY27MyMEbPVFfGb7TCQvw3P3dGJV8904I2LzXjmWAnuX07D80fy8fIRAufZEkJrNQGyHt8+0IQvr9fiw3PlhNZy3LxYo+SRfe1UsZK54MNLTXid3z8ivH55n1QKa+B2guz5Snx4sQ7vn2/DlUkJEt2KB+aTFX/cz6814strzfj6Rht++nAf4XUMPye8ihX2l0/P4OdPTOLbh4bw+b39+FTSed3oxydXBvHmmVGscJLXlRGOCYHQEqnoxUlimfiOJqMzPUrxTx0vS1d8ZOX1f09mDKSi13RFNmYIpsM5CVhWMoUQUgU2CbViaRXL6hCfT8loslwn6fsKOYHNwc76Ej4veXxeOUHOowwgIIorgFhOpZLXAs8l4CkQKevHOGGdLFv10xWYnKSMlKBYgecVgvIsZc08x75IUB6nLOglNI4QYCVl1zDllpT+FherKY5/gfvMFxNYxd2B454VFwPx6xW3hdJUxTd2kJP2Yz2FOD5YSfiWXLGRkKI1AxyTQK1YUgcyown18vo/HF2E02HC6hhle09KMPokMw23Kb66EvRKuO0moLbEEVBTIpW0YiIzR8UPmMcPZkcp/YrPrfjsihV6tCiek3WCP2H4YGuFAsVzHJ8A9hrMri1ry9ryt1p+FGZ3E3TaorZgOC0ShwmQewiIi4S3uaIonOzKw27C6fHGFFzoK8blgSoCaj7u7C7Bmf4y3N5ZhOMd5YQnfxyrT8Yj01W43JONvRn+OFWdgLsHy5RUUfs6ijhzD0d7nD8hMQ0Xx+pwrreAoBCFEwTmU+0F2FGbimM83+HGVBxiO9ZVhJ1NuZCE5/1ZYUrp2hNtFTjayDGVx+BQbRp21+ZgtjCV8Ehhmx6HzsQQdFIoi5LYQ+UkSqc7OQxF/i5KbtZJQvF0YSwVTCr2VucqikOCwCZFIaWHYq4gAudHagnehYTuFOwkEO6rScKe+izsqqayK+MYONYZ3p/68M3oJ0RPFUZioSoBezjWOwfqcKQ5l32n4EhroVLO90B9Ac711+P2Dk4AxmtxbKQenTmRaOBkYZKCPyPQByHeDvByMEDKZmssU3HvbKISLiIg50QoFunZglgq3ii0JATyWryQutEFOVtdqARDsVwWgemSKMzXJGNnQyrBtxBXx5twrqcEh3lP7xIXDgL2cnEsSkLckb/NHRneTnAw1oX6ekLk+u+LH/x1QP23NBXxdSXMSgoucRkQkBVXA33VDbDSI9jpqsNC7TZ4GKvDSkPyz65XgtBU+Kkq+/F4Oy01mKuth432emwluIZZEVrtVJHproUQ0/XYYrge/oTbWFsNpDppc50qos1VUOCqisVMS0zEGaHKYwMGQjRxtNgY9/TY4vVdvvjyQhhe3emID45vws+uR+HbC7H4/EwKHp4LwXKJA2ZynLCvwhtHanyxI98G08kGOF5tj/lcO6Tx3EF2uvA208ZGE3UE26ijaIs+ygIN0B5jjOU8C9xeb4O7O10IwYbojDRFtrcR3Ams1nqaMNNUgZ2BBjzMdWGlqwFDArstwT7Ewxq+9sYEVD0YaG6AnakuHMwM+GkMRwsL2BFcvewtsM3LRQFYJ0sLOBNU3e2s4WRuBB8nG8KrMfczwkbC7DZ3JzhzHztTU5jp6cLJwgTVmRHo4//HWEUori6V4KXbW/DqnQ148mARbiyl4plD+XiJQPvGiQJ8cLaCgFqNr27U4rsHGvHp5SquK8dnVxoIo1IwoQnvnKvFB5claEz2bcJXD3QrVtuP767FzeuSCaEGH93djStTaTjVG4HrY7F4/WiJ0sdPH+rCT7j/L58YwS8eHyXMjuOXT03jV0/P4RdPTCjBYTfvbsNn97Tj0+sE6AtSkGEMZyarMMjJovjBToplkhC1Ul+MlbpyAi4BtYythM9xcRbBLIaT1lQlr+pAlgQxpWOIn/OVWdhRnU9QTMdSRRYONFRhuaqIE1MpfRur+H1KUJi4B8wVZ2OuJJNyMJeyJEOpkjVDWBsvkKwF8RgWdwZCqVTHkkIp0wRZKastVtqJQilHm4gJyabA/SSIayRdAjpXLa1TxRKDEI3ujCilD4FIAVRxe5AMDLMl6djO8U3JG6MCqRQmfrzJSso/KWktGRzqKHvGKB/2dhVipETcxAJQGeaHjrSI1cAwjkuqHYoP8Bhlx1Q+z83+ZaIuLgvjPIeMryUhWHFxGOW4xgjPw7y2wYxotCeFKdboWcrqHsoOcVMQv13J1bunvZRAG4+VpiwFpu8YbsDR3mrsb5X0gTlYrs1Yg9m1ZW1ZW/5my4/7zJaEY09NFE51ZOJgbQIO1lFRVMbiZGc2bsw2YFdtCmaLI3CA6/c3SbqqaCxWxON0fwnODRBU65IwRXjdUx6Oc52ZuNKdgTsEohoycScF3nReOJVLpGKN7EkOxP7mfNzRXohDJbHYmx+JPQTGAzWpODtcjYd2dOJsfz6WC4IIajEoifVHcqA3wrytUZVAEK7JUNJ7LRfFYG9ZDA43ZBEcKfipiOZzkzBJ5TBMANzJ/e7srsZdQ63Ka8GpfArp1EgFYg8oxxCY6/IJiVRcVBILJcnKK/3dhNQjzTmYpoCXrAC7yxKxl9AsvrkCz6corE+1ZSnBaBO5YZgU4KyiMqMAHy9NIrxKYFwudksFtWqpwpWkpC+7Y6Ca0J/B8eQSVlMQsdEBxvIqXcq9qqgqTXfDBniaaqEzm+PnhGGuQs5B5ZQehJpgV5RvdUZ7/Fb0Es47k0LQnhiAvrRtaEnaijhPS+SFeqEpZRt6M4Jwfnyc4yjGfF40Fngf5zPDMJHhhyJfByR52lOZhiDI2Rq66qrYsG6dYhVddTn465D6r23r2JcagVT8ZL9vGlI4gevs9TVgq6NGWF0Pe4Kt1i3g/f784lNrqaUCG4KeGYHYh5AaZaeJSGsVZHlpIt9HG1E2qtiotw4B5mpIkkAwRy1EWKohw1kTjf76mM20QdMWXRQ7qqAnWAsnqmxw/5Aj3j7kj0/uCsDr+1zx2dlAfHUxDB8dD8HrByJwsW8TFosdsFy6ESvFnjhYtRlLBYTYbHPsL3dBe6wF/AnVmy114WVCoOXfyMdIDbm+Roh11kaenxFaCK+L+Va43OWFmTQb5HsbIt7VULG+muloQH/DelgTYp2MdWCjqwkjDQI774W/qyW8bI1grKMFPfUNMOV9sTM3gKOlGdztbeBmYwFfZxtsdrWHlZEutxFyLU3h62IPB8Ksu60FXKzMYaatgY0O1ojc4stJkR33NeJ5deBqaYy6rFDcOV+HowOpODWcjGdP1OH9q7145kgFHt9fhBdPVOCl40V4h3D6/rlyfHShFF9eq8Rnd1cqIPv6ySK8d74Sn98jkNmGj69IoFcjPry7Ee9fasQn19vw/sUavE/w/fBqDd49X4H3LrTieHsYDjQF4tJwFJ5aScerh3PxxbUmfHt/N75m+wWB9leSiuvRUfz6mVn89vk5xVr75Y0efH6jG5/f10egHeB5p/Do/m5MVkh0vgR1SaQ+n9uafMJdFhbFr5+TWimVLZZZyUygWFwJZhIQNZAZw2eczyLhbbmSsFVFUC3PUF6tjxBiB6VJ5H8OgZaQOcLj5gi4UlVLArSkgEBbcqjiZyp9tiWGojVJgqOC0RKzTXmdP1womRIkA0ICejh5kNf0vQTboUIJ3koiCCcTZOMUOSKFVTpSQwmxfLYFoNMjlEqE8sZG/Hclj+0ixyrlZvsIvFLcQcrVijV6kBP7zjSen+eW8ShluAWwM6SPOPRkxSkleAV856o5Ia5IIXDHEI7TKas4hlLJiysV1dJ5j+JREuaDRMqVak70hwngs1UZ6CFcd6dG8T6LJVgqmaWgKz0afZlRWJJUiU15HGMs70WkUgJdgnVnKyW/eDYWq9J4XOwazK4ta8va8jdbfhRm5zK2ESgjcLiewivFR3ktvacmAXf15OHKaC2GE7dhIG0rJnOCMZEXgq5Uf4xnhxGWMnB7ezoWc7ZipSQYw6m+aInfiLn8AJxozsC5jnwcqUzCKKFrsZiCvCQeR1rycWm8FXe2F+G+kXIq/zycbEjH0bZsXByvwz0LzTjAYzuSApCxzQfu1mZwZnOzNUfYRmfUJ/A82VGYyArDbJIvjjdm41gjwY/KYIgCfjjNH0NpflgqIyQTaOX1146qfOypyyOoJCsBZScIm0ca0nCYsLm7PAUHKZAP1mfhjs4CnO8vx4XBSsJompItYYqKSl6dSWDY9qJYHpeK/XWJBPhkKpx47Ob5F2vSsZMAvIOwv70kDvtqk7FX2Z6A/tQQxQ94b3Me+4nHAgG8J94bedtcELXRCXGbXZGw1RPx2zx5fXYI97BEQ0oQttfl8F7zmgiyA2zi8lHOY/pSAjCUGoTWKB90xG3BTHEUikI84CKvsk30EOdhhVQPC0zx79SXuFUJhttdn435wkgMxHpiKT8Uuxpz0JcaiBQvW9gb6sBYSwuaG1QUkP3fhVlpArDf9yW+spKOy0xDFe6mOrDVVlOss6bqKv+Y6UCssmrcT4fN3VwPDoR8Zy1VJLhK3lkNJUisPkQfRZu0EGmpgk0GGxBKgE0lSIqLQTTXlfnqoSfCFF2Eyiw7FTRt1sNUrDHuaHDAMwveeGWXD94+7MtPF3xxIRSfnA7EW/v98dzSNpzt8sFSsSOWitw5SfLAoXp//g87YmepKxbz3JDsqQ9PMy1ssjaAt4UhPMx04UzoTHI3hq+ZBtw5noxNRmiONMHuEieMp7kgzd1QcaWw5PUKzJqoq8GSEOtKALUkuJpoaShBcptdrOBgZQhtNVUYEUjN9DRhbaKvlKL1JJRKjlgPe0t42lnD0lgbtqb6BFojuNlZwpITIbHWir+sqa4WvBxtEeztCW9+2poYws3KDD62JqhJ2Yzre5pwcS4Px3si8NThCnx0YxBPHyrDgyvZeP5ICd44TQC9WI237irCh4TRL+9twBdXq/DppWq8c1cZ15fj5t1N+Izg+sWNToJsE764rxsfXxWQbcTb56rw0dV6Qq7ko23Em3fWY0+VH58jP1wcjMZDcyl47VgJvr63Bd/caFXy2X73YC9+/ewkfv74iAKyv352Vsly8Nn1LqXvL+7vJ9gO49Mrw3j1VD+hKZGgGEbojIPkQR0pTCF8xq5W9uIzqmQiKE1T8s/258agj7DWT7jso7wQV4AhwqakuROok2wC8tp8SILEcuKVnLOSj3ZIovYllzOhdUGAkE3yVUuQmZS/nSpKVayxI9IfYbIvg89zepRiDZW3Qm1JYWiID0IRn+fmpCCekzDL42Yoe6YL4tg4LvFX5bkFDiWH7JxiLU1WXvlLVT9xg5ouTcEoobwplrKXMkjS/E0Xx2O2TEp9Z/AYKTeepaQ7lKI1kxIkW56GPl6LBL8NE6JX6vNwiBPaI20F2F2XTfgl3LNPKak9UcRJP8/VkRKBesrNRk6QpXiDlPge43nmCLUyth5CslQ4lDRhI7yWea7vF0stj21PkfzWkqYsEY0pobzvBHq5p7z3azC7tqwta8vfavlRmD3akqZkJ9hF8NxFANtTmYIDBMzj7WKFzMdoXACBNhDbCVcHqpMIjxk4UJ6IO1sJgG0pVOCh2FkTg7YoLyS5mKA0zBUThKyj3H6sKYP9xeFIDRVBdjiWeY5jnSU4zD7OduTgXGc29nL73qZUHObvlSpREAFI2ewEZzNR8iow1NOGjYUJ7E2NlFybhYS38Zww7C6OJUzn4URLFg7US4BEOEZzAzHLtqcqhueLwHwRlVBWLFsMFqjcDhFcj7Xk8Dp5Tl6rpLXaU5uOscxA9CdtxXJpHG7n9t3cNpMbgdGMcEj5WvHL3UvFsbNCgtfCsbs2FUu8B/OSCqw0AYd5rcd5DyUwbqkwBrurk7HAProIjdM813RpDCE8BOO5YeiM8MRQViCmimOwg9d9aKAIu9pzMV+XSkVDZVMYhbHcEHTGeBHiXNGa6Mc+UpXXmJItYlkUUWIQ5ks4dk4CenjdHkZaSuS/j7U+ykM9MJlLBRXmjqItjujO4TVQGdZFeaM+xhdN8f5oS9iCaDsTOOmLpVAXWhtUCZb/esvsP5Wz/evte0uvuDFIii5bQpqriRZsdFRhr68JPVVVqN22YdW9gE2L+5mpE3gJik7cZ5OxKmFRGynO6miNMMNIsgVSHdQRYamKLYTHCGs1xNtrIspKDUl2qmgMNkR7uAlyXLjefD0at+phNtkEZ1tc8Oy8D17a6YNX9njitX0e+OxCOD66IwhvHQzG/aM+ON7kjrlcG8znOmE604ng78n/L0fsa9yC7kQneBurwUZfHRttCLLmhnA21oMHwTzCxRiOko5NRwVB9jooCzZFQ5QF8jabclJhBi9zwqe+Bix0NWBMmLU10lMmZ+YETxsjfQVm/T3sCam60NNUh4G2JswM9GBnaQZbc2M4EUad+d3ZygQ+TrIf/1ZGunCwNFGss9aGeopvrJudFQHXBHZ8RrydbBG00RUetmZs5vBxMEVlkjcuLpXgiQNVuDaXjicOleOje3vxzOFynOoKxJN7cxTL6jvnyvDq8XTFGvvplVrcvFiO906X4u3by/DmqVIl2OuDC3X45Hor3r1Yh8/u68X7l5vx7oV6vEWYfY/g+9m9Tfj6gW68fbpRAdntJT64qzMUNyYT8fy+fHx4pgbfPtiNL6+1EWzb8bMnVlNy/fq5afzquRklz+xn93Thk3s62Rf3u28INy/3470zIzjWk4tOTs4kYl6qWQ0TLIfzCGClGYSoRH4nBJavFksQX9GJikyMVmRhsCAJzQlBKIjYjGrCoeSllYAwScklQVoS4DVcKP7tmYqVc5z9zBencGJMwCO09RHoJO2WlI5Vys8S6kQmjBMgh3NiIcFWEpAlZbvFBUAyJEhEv2QEENgbz5fsLDEYy5HiCGEY5dhmiwne7GOKE/y9rXlYJJCLb6sEpEl53NEijoN9io/ucA4ntWxS6lv8Y6Vi4xJlwc6aVCyXEbpLKZP4fAvMS3qvUY5zkOec5/dl9itv03Y1ZBJKUxRL8aS4RRTHEaB5LZSPk9VZnASsZmuQSmMCsSsNUmSC2wskqCxGAfntdblYqEyn7PCnXAsjCIfzvgagi/eoNiUEtbzHnbxXg7yXazC7tqwta8vfavlRmL1/tgrnhiqxl8JxPCMUUxScKxUEp/psXBlqJLBS2OZFYDE7FCv5IdhTHIzFzG3YTei60FWAM32FONmVjb68EGRsscMmKvxAB2PURHhhPj8KBwmyE4mbsKMomuCYSnjOxunOPBypS8LRhiQsFoXjcHMGVgi6A+kBqFWClGzhbW4GU1UNmOtowUhLA/oEAu31KghwMEJ3ZhBhOQ/7y5Owg+PaWxGFXfUEy8pYLJVEKWNdzItl34TZ7BglInh7WTKOt5ZgRVLvpAZjgQJ9R2WGkjVhKicEXbG+mMxiXxzH9sJwfg/EBAFUgrqOdORjd0UsusO2oCFoC6GXyqQqTbGM7JBMDhUxVNwRONNfjtt7SrktBUu8nxOSZowgO1kYwetLwEHC/Q4C+3hBKHoEdEsjsFQvUdAR2NWYTrjNoQKJUlw5xnjvankP8wId0ZISiZ1N5TjQWUYFloDuhG3Y15yLQ13FGC6JQSDB1N/WBGXh3lTO0ZgrjERd2EZEOhohwssaKQEbURC5iW0zIj0sEWpnjFhnK2yzs4S/tQUM1NQVQP3X+87+OMwKEAukrn5KdoP1iouBpdY6mGish7GGCtS5fQP7UNwL+N1cW4P7aBOuNWGveRvCCa6pnhpId1XFQII5BmPNkWC5AVGE2C36G7DNeANhXAMJDhrIIMA2BhugzFsHkUbrEGexAdWbNbGQaYLLnc54eMQVD4854clZZ7x73B8fnQ7DGwcC8dyOYBypdkR/vDEm0635/+KEyUxn/n0NsVy9GSu1W1BAMHXWUYOZpho8LPXham4Aax1NeFgYIsTZDE6GmnAhZHqb6yDF2wQZviYIcdCHl6kmNlrpwZnQKz6zRgR1W0KwK0FUshHYGusrrgHejjawJNiKu4eOhjpM9PVgY2ZMcNUj2GrBifs7swV6e8KekztLfcK+lTm8nOxgY8p+TAzgbGMBdwcbJRDMzdoUIRudEOTlwL4t4WltiMpET9w1noEXTzTi5VO1eP5EFd662IrXzjTg4kQCHlrJJMhWKem53ruzGJ9cqMbnl2vx6eUKfHyxGq8fL8YbArOXG/DOmUrCZgththYfXm/B2+fq8MaZKn5W4n3CrLgjfPVAF14+Wo3pnI0YS3PFidZQXOiPxiMLKXjloLgatCiuBj+5vwO/fHJIKZbwy2fG8Zvnp/Czx4bw1Y1ufHCpCTevtuPz+wbw1qksfHB+GFfna9Ar2UzSYwiNUpxACgdw8leQjP7MGLQniStALGGWE7ysSOU1eb9YIwmn2ZvdEOVhgwBbIyRutCfoZmGqKgtD4qtanKrkXpVS1h2pIZivIQTW5hJi5XW+P2rCN6EvRwKgZKItAVPiv85+s6OUV/sjEpglPrKEuAkCqLg4iM+q5LiVTCt9aSHoTg5Cf0ooRjIjMZoZi6G0aCUYdrmacrazUPG5FdcEgcd5QrXiQ0sglcwGUklQoFkqK/ZKoZn0cPSlh1FGUE5ViZU2WQkeE8iWfcUy2sfzTBOYJa3WaF4kJ86UOcWSGiyGMCx5qdM4GU6ivEzDXFm6Uk58pS5bcVGY5HELhOBFwu+exhzKqjglY8JidQaBl9BPmTpRSNmWJ9bjRCXAtokTjHhPW5REbkVfSc4azP6blv+GZ879Hr0P/sOt32vL2rK2/EvLj8LsuWHC7EgXRgiS3Qm+iq9oY9RGdCX44URHKU51FWEyJwydkZ5YKQrFZJofBrltMjMU46mhOFKfg9nsSApEef0XqSR7d9ZWQbC1npLfdTKJ+yZ4446WZIJtPIE5QMlGcLItAyfaKUAzgjCSsg1LRXFskdhbHY+9tQlYqY5Fe1oAKmI2oTLJH7FbNsLL3BwhNvpoSdiEXbXJOFDJfSuiMZ2xRXEvWCQ4Hx6sxiKVwBwVzWRGDIYo2HcQSCWIajCZEBkfiPqQjehNDERn7CY0h3kRbAnw5TGYJdTuq0rECuFztiCYAj5RsYAclnRjPN9cTgRGkkKU9GTzhNST/WU41lOmAPT20liCegWhNVUparBYkYT5ikQqjCRMlcRiB/ta5jkWOBmYKwrDWHYQZgpDsJ0APpgVjKWyeMwXRmN/Yy5O9JRgoSwL8a42cCe0eFsbIdTNAgleVqgN90J/ejCGsiIwzXEs8p6Npoco5zw3UoXTo3XY25ChWLH8LPThZmkIe4KRl6UBEnydEeVgATtVFfiY6mKTlSmSXO1gpaUNjR8Egv1rLbR/rcmxGwiot7Ev+W5AeLXVU4W1Nr+rroO2yirECjyLVVZHqnzpqMOOIOugrwovkw28bg2kua5D5WYVDMUYozvcDOWbDBFlo4FQK234m6kjyFINiU4ayNuog7ItBkhz0UE4QTbZXgV1/hqYy9DHmWYJyrLDPf12eGreHW8d2Ia3jkfiifkAXB8JxFK2HUq8tTCWascJjAf/hxxRuEkLU/menFRZw89UBRYcs/i6itXYhffMghDqaW0MXxsjjlcb1vKK31wfsV4WBCUCroEaXLm/D8HJ1lAHNsa6MFTnPTDSgyXB1sHUAHaEUDNes+SDteFvAy1N6BJm9Qi15ga6sDUzgin/ZraEZwtDbQT5eBFO7QmvxnC3tcYWN1fFncDD1hLO/Bvas49NzvbY4myLIA97hPk4ws/VClF+DmjJ3YIz09l4+mgNwbMBzx8vweuna/DulVY8tDMXDy5n4vU7SvHayQK8fVcx3j9dhs+v1OGbGw24ebESbxwvwhsnS/m9CR+c5XEEV6n+9cG1ZrxwPB3vX67Hh4Tf9y9U4pMr9fjiRgceWs7l/7Mf/9+34ERbGC4OxOH6WAye3ZuBN0+VcL8mfHVvG376SA9++8IUfvX0GH73/AR+/+IUvnmgDx9falaqiX16rQcfnW/EzfODeOpAhxL01JIYrJRXlap8XUp+1BglgEuS+vdkxaBLfFALEhTfU3mVL1bS5pQwVMeHIIcyJDvAC4OlCViqzSO0ZXOymY28IC9EuVkh1dtRCaLqzYpFeZgP6mL8lKqA0o/4rkplQKWyGMGyh4AqOWgnpJxtdjyWODEeFLekolTF53ZK3CA4RrHgTsnreIL1BAF8SFwBCH+S7UCss7vqOYb8ODTGbFagV2BUsggM5kQqwCp5YyVYbJDgKFkFRgjBsk1SYC1WZCgW09myDCWF4FR5+q17wf4zk9CREKXA9HhRDFucEkg7zXu4szqTE+4cfqecreffigC/IGnJSqTUOPukvJwspMyqSVf8jWcJvEc7a3CovZKAW0rIlutLVSziAu8NaZFI2uiA9C2u6MtP+r8DZv/7n/DG/b9Hw8rfIWaebfHvUHXi7/HSz/77rR3+Ty3/gDO7/w5JZ3hfbq1ZW9aWteXHlx+F2Z1NFF7VqagJdSHMhWKlJAbtEe6oD3WlQAzELIXnrvosdCdtxXQ+IYzgJblgZznb74zyU3xRt1Mwz+RGoSV+K1I32yHezQwdiQKtKVhKDcTeghAcq6IQJQyPpvqhL8kX+xpSsK8xDcOpW7FdBCyBcl9phLLfwbIIHK4MJyhT2Iv/7kA59jSXYCidCizBXxnHAcLzLMe0kh+BBbbuBB8McLzLFMSSj/FQfT5m0iPRnxSIHdVJONKYhxXxF6Mi6mAfPQlb0BXmTpAJxIHqFJxsTMXRRgHuOBysS8Dp3iIc68zGaHYoQZ3g3JiNg40Z2F2WpKQs205YXSiLwwTvQ2/qNuytS8W9swtY4LWMU2kMEyYlH+1UYRRmCbU7m9JwuCMTu9n/9vJopY2kbsZ4TiAWCyKxRwCYwC0pvvY2Z6M6cgtMNdUV2NMjaOqsuw26bF4mWqgI9UZ70jY0x/KaEzbjUHMmzgxU4I7eMhxuy+X9KsI+ThTiPKzhZWUCN3MT2GhpoDDMl8o7Ec2RvkjeaIst1ibYzO1WGprQ5jnENWD9uv/VzAbfg7D0sWqZ/T6Tga2+GmFVBRr8rQR93bLKavHazDS4XU9NSdvlZKCCMCctJHtoIddTBf2xBugMNyasGiLGUQPehirYbK4Bf0sNwqy6UpQg00sPsfaaCDBRRbS9BjIJwvWB2pjPNsK5DmfcXmeBByc88PwOP7ZAPLIQhFONXthf7cO+zRHvoMa/lT3mCj1RE2KCaraWWFuk+JrCzUQT1joa2GhjAk8zAzib6vFvsR5O/HQ01lYmCXb6OnDkZ6irGUJdTJUgNnNtVTiY6MBS3AzYzPU0YEUoNdMVgDVU0nBZ8RgnwqyFIWGXfxstlQ0K6Jsb6MNMn9BM+HXgdmtOZvzcHeFlZwMrI30ld+wmJ1v4OFjD18EG3g5WcFYyG1gjyMuJkz4PxGx2QaCrJTo4yZqqj8Zdkzl4ZH8Z3rrYjHcvNuDja+34+J4uPH+sEs8cJtzeWY5XjucRZgvw4flyfHq5Gp/fXYVPLlXgw3OSb7Yan11twkfnxCd2tUjCp/e24u3zXE94lewG73Dbe2er8DH7f3AhE/sbgnBHfxxu74zC5dEkXJ+IxxM70wjNBOYLtYTVWsJsN3730jR+9cwYfvv8OKF2FF/d38/xdeCju9vx6T09BNs6fHihC6/dOYB5Tl4b47YpvqH90gidAlODObGE1mhIYYVeSd4v2QIItZJeqj8rDkMEzJGiFAJpqlKZa5iAKdH6Elg1WpyB4mBfBNuaYbOZPhI87ZDl74okDzvURkuxhjjuz37ZvwSfjfEY8W+V4gNSmnYoW7bxHHkCu3EYzUnARG4SJvJW3RCU3LQl6ZAiBZLfWvLf9uUn8BpiOSmNwnSJ+PASvLPEF5Wwyom4BJT1cexj3K+bwN6WHKakBuzlBHaAsDuYx8btUnBBoHKhLFsBSwlQW20JmCySIhBpGOX+YvEdpRwXFwSBYHGNmCGgTpcnY09rieILO837M8rrmSzjPcqOUOIWhsQ1gvdSCiJIjl/xH15uyONxq1XUpqSoRHkmWjiJyN7micIQX0xV5f3Hh1mC7PVDqwA7ef8f8dKrbM//ASv7ZN3vcf3b1fOvLWvLf6rld2/j9HQrGqqrUV3bgP5dN/Dp729tk4XPzS8/fRsPXdyNya4GHH391vpby+/fOY2RJjm2C8uPfndr7b//8qMwO5AViLHcAMxmBeBYdTr2lMYolsm2KE90xHpjKi8CZ8dqMV+dplgPGmJ8sEJwW6hKQnOYByYywjBI8BqIEetoIJrifFER4I750iTc2VGAc83JuNiRhjsaCXRF4dhfRYGasQU7qxKUCmCjmcE41paP29sKsb8iHisFYdhdEodDlbE4Xh+Pi8PFuDbXjqNtOTjWmILd9Uk41JWJA+xne04wdhOCt1NA14d7IcHDDM0xvkpOxcNdpUparUXC5DwBbntpGm7vr8dRrpcqZOOE1B2l8TjWkok7W9KUvLinCbO7ikMIpGHYX5uGpdIoQvIWjjMTDy4N4tJINfbzfKfa0jFXFouutAAqmi1Uhl6QiOS9NfkE/E0YywzFfF4URjOCMFcQzRapFJ84wmvYWUEFP1KOlYZMpSLPMMcxkxVK+M4kdGeiLzUAY3nhyPB1hAtBx8NYF/72ZvAldNrqaMObv+NdrVHPv0VVqMct2I7BUmUyZvIisSzW6vpkKttA+FoawpbQ5GZmjC22FuigElxuzcdybTIakrchzMUGPqZGsFKXiHsVgua/xdXgx5pYXdkIxeJmYKyhSuBThw1BTooifJ/lQJVgLlZbc8KsBEpZ66jD01QDiR76SHLRRMUWPdQEGiDdTQvbLDTgorcB1hrrsNVSC/4WmtgmBRMcdRBuo4mtxmoIstJCNH8nOKijKcQQC7nW2FFsw0mPBc62O+KhaT+c79mIQzUemMtzxWCKC8q2miDZVRtDqVJkwgPZPtqojbBAeYg1Ahz0YG2grkwoNjlawlWCrwikAuROZnqwEfjm38LJQBd2hNVAZ3P4O5jAQkdNSU9myk9zPXUCqBYsuV1AVuDWksdJlgEbI224cDJhYSQ+s2rQVVOBjhSc4N/Y1swEpgRaVztr2BFovZ2s4GlnBRuCrJWhHjY728Hb3hLedubY4moHd8L2Zv4tg7xdELvVHfF+zojxtsFgVQwODWXh8lIp7lspxtsXmgmI7fjoilTs6sCrt9fghePlePlEMV4/VYBPrhJeCbPvnSllKyTISivFm6cK8fk9DUq2g4+v1ODzGzz+7lb20YkvHugleLbgo6steOFQOj6/1obnD5TiZEcELgzE43RXJK7PpuHGbCIeXkrC67eXEk5r8cnleqWAglhlf/nUGIF2HN89IkFf3Yq/7MdXOU4FaNvx4aV2vHthCEc6s5T0dF0ZMehmGy5IwQShTPLNSplZyTfbS5DrTItAf3aMAp8zZbn8TFYCvcYJtWMES4noFz/QMQFJwtsQj+vO5iSXcNxXkIDm5FD0iwsDYU0yAwxzXym+IOm5JJBMqn71EzwHxXeX/Uoe2+7UaKWS1gD76E4M4/dIQqFUxYrktgjlt/ikimuEuD+Ie0RvSpiSD1b8VPsliFUsyrwWyYog6b2kbzmuJysaHZQVDbz2DnEz4L6ShWGYoD6claAULOjhxF0syNMlGbxO8clNplxIVZqU9BV3gCnJzSvZDzguSSE2URxPOZ6ilCKXsrTiNiBBX1ImdyRHij7wmBLeG3HBSApBJ8c7Ub6adWG6MAMrVQUcfxyaCPadPKaL45ypyv0PD7Nf3S/W2N/j0l9C6x/+iL0rf4ekU3/Ef721am1ZW/5zLL+jjqxG66EX8bs/8ecfv8Ldk/x98u3VzVy+u3cEDT1zOHrvKcwReA/8Gcx+hxsjI7j7Kx78uxdxoP0AXlNecvwOj+9YxuO/VHb6d1l+FGabIjwxmrUNS8ViCU0nAETgAGFnNHUbdlQlEsCyKcRjlddQJb6eSKDSnigU36t4DCT5YGdNPBbzQzEU7432YBfUBzhigIA3kOqPrpiN2JXhjbMtSbiLikgCyI6I8CTASpnb/QS8A+0FONFdgdO9TVgpi8NY6laCaiLOtefgSE0iDjUk42RPOZbLorCvcAtOVofh6nA5znSXcqyR2FUajR0lsRik0gh3MocvISGM4FcXvZVgF6vAnrzqa4v2U9wDDjVmYLmIIFtMgKyNxZn2JJxti8PxmlDCczShOgkH6uKwPT8Y89nBGM8IxM7qFJztq8ATOzpxe0MUznP/PRzPYmUiDrbmYLqA0FyVhe28vr4oP8wTXmezQjCTH0nApGKMJ2CnB2ClNlvJn3t8uAwrNWlKmdudjdmYzo/AroY0TBbEYCh9GxZ5H+Q1n+IjlxaC5YYMzHJ/qT3flx7F/VKwUJlFRZSOhrCN6KSS604NxVhOFME7EbNlCaiJ9kXMRkKPgI61OQoitmC2KR93LfbgSF8lBqjMEn1dEeJgQUDWh5m6GtTWiavBXwPUf7mtHiMQ/OcgLDBrpqUBa8KciaYq1PlbgsK0VFdL10pAkzm3G6uowlFfE6F2+sjbZIp0Dz1E26kjyl4bm801YUvgddBVgZP+Bmwh2G4mvPqZqiGKwLnFlHCorYpAW0K/lSbinQmkwaZK1a7uaCOsFFljX6Udjje7YTrHEj1xNqglrGZtNFYyFZSHWaE+0gItcbaItFNFVaQ14lz1eD5VmBJAzXS1CI+WcDTSg5W+NoFzA8x1NWBDMHURC624EuirYYujCTyt9BWfYL0Ntykwa0GItxXwNdKBoaYKjDlOgVsXayOCrTrszAxhxgmLLu+NPqHfQEMdRro6ih+tMc9hb24ML0cbuNoYwYUALPlkbU2N4WFnAT9na3jxb+vv4YAAT3vEB/ggfJMLYjY7I9XfBfE+5ugoCMBds0V4+WI/njnagNfONuPmPZ24ebUNX93Xg48JpM8eLsaju9LwKoH1vUuleOV4Fl4+mokPzpfg3bvy8O7pQrx2PAef39uAdwm5n12vx6fXBYq78KHA5o0ufHCpEe9dbMTLx3IJpIN4/3wLLo4k4MpIHC70h+NeguwjO9Lx6HIKXj9Rxr4b8cHZOnx2tRlf3WjHzx8bxK+eGsFP7u/Ezx4ZwDcP9eO9s/V4/0ILvnxAALeXx/Ti4lgxmhO2oS0lHO0phDwCaB9Bslf8UAlpktC/MyMarckhCgAKPApcDinlVgl/+ekE2xQlZZf41M7w+RnjMeJzKim95utysCCp/kozFOgcL05VrK3tyYS44jRIaVoJypJiCJJzdkQCptjG+fz3Eia7CH0ClVIeXNJujbFfJUUYwbM/gxNjAmlvDmE3JwZK2VjuJ7ldpRStFD0Qv1gJIBMrqRRQkHK3gxnickCoZR8d3KdVUvPxPAK6Q5kxnIQR1PMS2fcqTI4VZkLy7E4WSr7wdMyWENwpLzpSCbu8N3OUG2JVlUINI5zcDnDSLVUR5f4IYEs6MIHVhbK01cwNHNMgwXaawCsQ35fP+8njZ4szCM6cQAjU50YrAWtyX8Ud4j82zP4DDotrwR1//bX+VzdWQfeZP9xagf+BX7/+9+j9gTtC76U/4tc/8Eb46cO/V455gPs1cHvMgT/gp/+4/u/x2M0/YH4PIfnW8fNPCi18v/wJ1w9w/bk/Kr8U0F784fll+W944AjXH/kDfn1rDX73D7h+1++RIedjvxl7fo/rH/23WxtludXvmT/gpUu/V87d9vD35/3v+Omr/3RNSdt/j5XnfzimteU/3/Ia+ezPAfX3Ty2jeuQGMfXW8o//8/9839V1BFjl+yrY3uCBv3t0Dv3nP1XW/nstPwqz7TFbUB3qifowd9Tys8DXBvOEq5XyeArvWGwvD0OptxVSnE2xjYo42MIYNeH+6E0KxlxeGA40pGC2gKDZkoHOKG/Fn3Y74bY7eiMBQxshbI1hTthLML2zqxjHG7Owi8rgAOHszEAlDrUUYowCszc1GGOE3L5YX0ynbSFcCmBK9axg7Lnlx7q7YCuOV4ZiH0F4KjEAcwTmxfRAHK2XgKs0dGZHEUQckebjgsbECEgmgVwfO/RJ3/kxSiGCxcJwLKRvwrWBDDy9XI67e2Kxr9SPEG6L/tRNONWXQ4BOwHSiF5YIAye7k7GzigoobqvizrCzMADT6d6YL+R529Kxtz4VB1sKcNdANc8RRiUh6bjENzgcB5vTcWd/NhYLQjgGfyV6eV6CPeK2oCrQBbvrM3GS92CZEDxeFI6uBF+slMZgN2F2f3Ua9tRm8P4nEXilpnwclgjPS/x9pDkfB5pyqXAS0Z8WDClNKRHG/VmEaKkolieBZ/FYbi3AZE0hlXYhzs624I6xClzfNYwXT6zg7EIbpppy0E5FlB3gCWd9Hajdssz+OND+c2D9vq27TYWffwGz69fBQodAqK0CzXW3KYURtDZsgIFYIgm04jtqoKYGUy01eBhrIthGB9Eu+thkqaWk9LLTU4cu+5RiCg56KnA1WIVZN90N2MZ9A6x0YU9A1Oc+krvW3UAF0Q7aqPA3R3OYOZLt1mOxwgk7qt3RFmWE9lhLFGwxR6i1jlJFLc7DANWE2dJtpigJMEeMmy5Kwx2whec3UlmvjNNESx0uFgZKNS7xfTXkWC14LlvCqJMJYVxHCkKoYJubJRzMdKHBsRpqqq+WozU1hK0JYZbHGvE4Uz1NJV/sJvFTNtSGlQR66WlxvRYMtfmpqwdzQ0O42tnCWEeDUKunFEbY5GQBd1tTbLS3wkYHK2x2sISXNUFW8Yt1Q9I2T8T7eyA9fDMyQjaiJNoHNXHe6BV/2ZlsvH/fCF68ow6PHyrFmxeb8RFh9mdPDuLrB7rw4vFSPHOkAK/eWYJ3zpbhtRNFePuOEqWc7esncvAqQfb1kwX4+HI1AVRSdNUSaFvwyT0deO2uWnx4rQ3vnK/D66er8OLhLPzqaULpAwN4YDETx9oCcM9kLO6bScDDS8l4fl8uXjtawv6r8dbtVXj7VBn37cFX97bju4e68dOHViuDSbnbt7jPO2ebFGgW8P7oXCdn+I1oSQhAc1KoYn1VLLC5cehKk1f0UiwhEX2Evj4CrKTnkiwEks9VysqKdXaiRAoZpGAiP4nglqQEbEkp66li/iZ4TpdJ1pAM9KcT3giCU6XphE3JISslqhOVUrUjBLqx3FX3AelnWGCZTfLJzlUSdrmfHDNbRBgk6PaLRVbytBJE21NClPyzTUkRGMrhxDctCj3JEQqYDhAixWoqbhMD4jKREcOJOPsSNwm2QUlHlpfCT8muEg+pCjaULufmdYu1mNfbS0AfYB+K9VcAn/t2Sv/igpAt15DEiXGBAqMy5mHeq5akELRmRhCwJXNBnJI3V6qDyTWOUa6MU5Z0p3JykBnOc0Rz/FJxjcdzEtHFCYVYa3vSxZIdjYZYfxSHbvmPDbO/+APa/gzs/uXl10+vgqC4I3z1uz/hkyd/jxICZB6B9nsYXoXWVQidv/4HPPDiPyiW3e/XJ+3+PS49/0e88fYfcenUKkCevLl67F/CLL5bHd/8y//v6m9ZfvUH9Mq6F2+t+7s/Yu/OW/2+/Sf8169X+5Vx7n3z++Nu9SvnP/B7nHz4D3jmA4Hd/6GM6/tr+uRnq77Defw9/PQPYXht+c+1/Akv7v2BZfZPtyyzd3ywuvnPlr8Gs39pmd2NF3/5DHZ3ncIH/85u6D8KsxJAtKMyVgmoyt1sj61U8gPJW3GyMw8SUNUYbIvmEEfkeBoh08cMNWGe6EwIIswl4lhjJnYUUlCnB1FRUCALTBXGYi6LoJsbjp6krcjwMkdjhAtOdOThymQzzg9W4/bWEtzRXoA7O4uwQiDrTvRHxRYn9MR4Yzp1K8apiPcSDM8QFPfmBWFXfjCOlMdgf1kETnKcuwoicaCM0EfYns0JVjIQTFGYbhegTYmisE7Eif5qNMVuRoy9PpoifVEXtRXt8QGYyZKMDOG4d6oM9w9nE5ijuM0dAbYGyNhoTfiJw3b23RdpjamczbwOf+ypiFBytO6uJrTXEDrj3DCc5IWdpSHYXhyBvY2SYD0S1ZHe6EvZohQzmMwIVvx5jzalKpbr4cxAzItLRHkK728AcjZaooH3cldDFmE1A/MVkomB5yA47+d1HyDISlDXQqlYacTiGo9FScVTFIfp3CjME8yn2O9IZhCVZSCv1Q/N8VuptOOw0liA+aoU7GouwIGeWhzurcKpoQq2UpwYqlKCRva0F+LgQDmWW/JRFu4Lb0N9aBJmv88T+0Mo/fP2z2F2/foNUFPR+GfbVAmElvqa0FdbtcRK3lldDcKnQKK2BoFPTyl9a2ugDQuNDUrpVysCnw5BV1wSdJUUXrfBRH093Ew0lMphUoHLw0gNfpbacNPXgA7hWHuDiuKmsJH7RDvoIo1AnGCvgRwPTQxkOqEhyhqJrprI9TVGtLMxj9cmMBNmPY1RF+mA4m3WnABZIDfADkneNnAwWO3XSENDcS1wIpBa62sTZjl21XWwMdBS0m5JYJixxjpYc/8wXyfFAqspPs4a6rAw0oezlRkczI0JpbqKRVc+zdlPiJ8n3GxX88PKb4FabUK9lbERLAizbnY2MOXkwkQKLRCkAzwd4G5nCm8HCwR62CPAzRpbHAjfm11QmR6OnIhNiPa2Q2aoD3LCvFHO//ux0lgs1kXi8lw2ProxgLcvNyolbN+53IxPCIvfPTms5HN9+XgZXrm9Ai8RYl87yXa8GK8eKcK7p8vxzl3FePeMpOYqwccXq/Dh2Up8dq0Rn9/Tik+utePNs7V4R0rbnq7GG4TZm1dq8eunhvCrx0fw2O4cTrr8cWk4GvfNJuGJnVl4YW8+XthXgBf35+OtUxV4l+f92SP9+JZQ/dW9LfjF48P4OWH2Y/b50pFivHVXHd4TC+71Nnx+dx9ePNSOgZwwtCQTZnnd4hs7SNgSl4JhgphSCIGgJgArgVACbfIpwDpemErYTeaEj8CbSRjjtnFxHyhOwUx5DoE2lRPNbCxV5SuZCQT8BGYFYgU2x/gpIDskwWA812B6DJbKcjAoFl+CoVKchcdN8Vzyil8+xwm1YzxWwHOQYx3Ni4dSuIDnkqCqccKnBIIJiEqOW7HwTkrKMY5ZshMME9Dlu1h9xdrcnBisWH2H2Fc/QbJXYDKJk1hxMciK4mSe18xrkj6liIMUgpACCN0pq1kYJkszIOV65XtfKuE3OQodSeFol1RbqaFoSwhEM4G0j/A6QlkuMDuTn6KcT6C1l/dcLNV9Yi3OFF/ieP4dCOkE4u60UHSkhKKJY/wPDbO3YPFfB7N/wgOExJKrt0BTWf4H3r8i4Pr3eOPWmu8ts3/ptvBX1//hj5j/s/P/BczessIm3fVPsPxfCdQ/tNb+o/X271Z/ry7/L565g+t3/j0+UX7f6lesxD+ECTk/YTzjyg/t0reuaeXv8f6tNWvLf8LlTx/gVFc1qsVnlq1h7nH8de+AvwazwO9vXsDcP/rMfoBndnXh1Hu3Nv47Lj8eAFYUgeMtyTjSkoECHwdsMtdDkqsFelOD0BS/CSWbLNEa6Y7J3EBsr4jGrgpCZE0K7l1owz2LrRTW4Yh2t0GEuzVivRxQEOCOpjAPVAe7U6gTdGN9sZAXiAvDpTjTX4zbO3IUC+2+6mRMEyzHMgKwXBKNyZwQDCT4YCR+I2aSfLA9OwR3tmRhIWsrJhI2Yjf7mMv0xzIh92BlDA5URmFPVRLBLgxLOZGEzWjl91xpAnbWpRBwk9GbFoi22E1UDFGYq8jHeF4SRlKClHK4R5rS2EckBqJ9kOBmg0BrY4TbmKIpbguhMgEnmwiTpeEYS/HBaIYvumI3YiJrE461JmAfIWFHUTB2E65nJSCuLJYgH0qgDec5QjGUEaRA/Y7yBMzmhWAqO4j3KYRjjUB3/GbMFISgP3UzSn1sMZEdij2N2djO+zFTGIYdNfFYqU3EZH44JjluKYO5ID6/lSmE7CRCbBzGM8Mwx3s2krVNyYQwViBBL5K0PYDKJgJTHP8074NSIrMqGzOVnBS05OJQRyF2NRVSCRGS63MxX5+JtoxQZGx1h6eRAbTXbVACwP4ZzK6Tz79ukZWmpqoODTUtfv/zfdQIpVLlTF9DDWoEXg2CngmBVVd9A/TVVdhUFQut+JQK1EpGBUnr9X1VMA2VVdcEa111OIg1VFsVtjqqhFENOOupwYDHyHilbyP2t8lCFxEOhthqqo4wW23EOemgPNQS8e768DDcgFRvMzjrasNIRQXeVnqIdDdCRYQTUn0sEWhngKRNVthqYwwLHQ1oq7J/dTXYc/zOhFkrPcIsgVPSbNlwnZQDdrcwgqmmCiwI7IFejrA00OFxvC4Cu6m+FqwJqTYm+jDneh2utzU1hJWRHrxdrGHH72KRlVRdkmZLV1MdpoR7U30J/DKBNWFYCiPYmejCz90OXg5m8HO2RICrpVIGNzPUGzUZEWgvSkBTdiTStjgjfZsbiqN80ZDqj0H+fyw1ROPeHUV440IrPrynBc8fL8LbFxvwzeOD+Nmzo/jqoV68SRB94XgJnj6Qh1dOFRNoS/EKoffFQ/l483buf7oUb95RgvcJtZ9fb1ACtz652oSPr7bg43vb8P7dLXj9riq8c6EWXzzYip892oHfPDOOl47L8x6OC/1ReGR7Nl46XI5XDpThtSNlePVwEVsB3r2jHF/f6MB3D/fhJw9247uH+vGzhwfw4flGvHi4lDBdT4Cuw5f3duDmxU6OqZX/19FoiAtU8pxKENhEmUAqYZFAKeVoJwiKfYQvyQAgQVaS2WCSwDohr+4FTkvS0E9Q7SdoiluC+NvOVuYrcDmWRwgtycR0WRZGcpMwWkDwLMngtizF4jrBNso+Rwh0/WkxmOT26SJxP+A+bBJwJdbaIcWKGq/A63g+vwto58Yraa1kLFKgQXK2zvOZFt/VqZIULFZKRoFMwmu8UnJWUm718u8rqb/Er7YpMQBthE5xhxCLay8BdZBjaE/g5FrxzyVk3rKsihVYmhJQJi4M6ZQ7yZKHWyA7Tbk2GX93AuVfZryS2qwhZhtqI7egLm4bWihHWpKC0JMWroCxBM2KG0QP+5GgOwHnHo5F/Hkb40LRnRXD+8h9MiPQSij+/w/M/vVlFVL/Emb/6ff3y19f/0fs/RdhFvj1kwKvPE6B0P+Gx479EG5v7f/X3CRel/P9HteV98L/vF9lefPvuc/f4fBfGty+P/YXt36vLf/Jlt/h8YW/4jP7r7bM/vny+5cOoP/42/ju+QPoaiDgNozg9Ds/jCb7X19+FGaXSyJxsj0LK1WJqPBzRqCFIQKoYNM97BFho49cL2M0h7limcC2Uh6LI3UJuL01Cxcna7GzKx+x3vYwUdegolclBGjCjTCc4WuL4gBnCv5QrBSH42htDM50puF8TzaVWzHu7FyF2QXC3wxhbG8l+23KwQ4JPssKwJ7MTdhdFIqDtbHYXxmCHYTIlfRNmJfAsYIw7OOYd5VGYW9NMrYXx2NnIZskAs8OR3u0H0bZx87KJOypS8ah2lRcGmzGgdY6tCUGo5TXOJK6FXOEzq4wNzQHu6I5djNaU4LRHB+IpshNmCMcHiMQrxRHYyorEJOFoehJ2Ypx9ruvMQ4Hm+IxnxuEXQSG+TzJIZuIXbVp2EGYXuQ1TBRFURlsQ128L4q3OaAzxQ9z5TymKAYd4Rt5TAAONhI20/wxyn738DrmS+KpyMKwzL/DfEkUQTaMQBxHyCcQlyQTcLOwVM57xusUtw4pjDCQtpVKyZ/KVHJBphBq4zCYEY75skTMEGZXGnMxW5OD2Yos7G4qVvJnTpako0/89CqS0Z4RwjFuQZyfC4FRh+C4mtFg1dVAwPSHbTXd1l8CqzRVwqG6qlhm/2L9BkIrIU2KX0h/6vxtoqepwKwaAVlgVtJRmWprQHP9qovD9xkVBKg3cDwS5S/WXTNtwqXKeria6sDHQg8W7Ffj1v7imyuv951NdOBqqA5nHRVEuBhgm6WmUtDA20wDTlzvZqgLHUkHxn23OBpjCwE2fqM5/Kx04Wasia32hrDXlaIOGxTfXu0N62BrpAMHAVJdLSXXsQnPa87/c08bC1gb6nDs6rAy1oGHrQUMtNSgzvGaEJgFYKWSlxkhWNJtmfAYezNjpYqXo4WBkiNWXAzszQ1hpKPFPgxhxv1kX2sjXcWtwcFUctMawNPODD6Opojd6orYTU5IIbgWRPqgNScawxWEuapk9PD/OZvPXHtmKIYJfEPFYZivDcflpTy8frENnz3UR+Csw9uXGvHFI334xfNj+PqRXrxLCH36SCHuXUzEM0fzlNK2zx7Mx2MryXj9hFhmy/mZj3fuKMSHl6vw8d21bPW4SaD9isffvKcN711uwNsXavDNY1347Uuj+H9ensWbd9Xg/Egk7ptLxUOL2XhyVwFeOlSKlw+yT8LvmydL8M6d5fj8WiuVfh9+9eQwfkXI/lLyy17rwntnG9ma8NnVNkJ0Oz4+34rXj7UTAmNRHxegBID156ZgqCAFkp6rLTFCSdUlWQ0EcvvyEjBYmIRBwlx/JuGOIDYoPqCEyX5O5no5se3NS1QyC4wRHGWbuCiME0gF8AYJfEPSv7Qcyacq+VxTOWklSKYTJAmdAp5KxoB8PkvJkco+AoazJYRfjktJzVW46mM7WZKK+aoswngGOgmBEvQ1xed0is+2lIPd1ZDHZ5zPa2kawXY196tkERjlOMYoA3oywlYt0GLtJXRL8NlAqrgjiD9uDK8vBq3xUqExXHGLaE8O5nkkWEyC5cIU2ScFJ+QeDWeLzyz74LHSX1dqFJpiA7kfAZiT5x7KELHU9io+vpEcY7rijlDHSYSMvZvbxRo9zusdV6Bf7pVYyKOV1Gj/oWH23+hmgH/4E166/oMUXv/Y/nYw+731du+bvA+/+wOGv/+uLH/CmT1/sf/3yy1Q3fum/PjrMPtfn5cxfX8Nf9m+B+G15T/d8vMbmKyew+O/u/Vblk8voKv6AF78Z24C/xOY/T23jxzAa7/jZ8NuPMM+//TV3Rjpv4Cvbu3yv7P8KMxO5BDGqtIwWUYhnRWOlvggVARvRkmwL2f6EVhuScehzjyc6KrEaFo0RtIDsVIUSTCLolAPwjYnM+hTiUsVJ7Fk6auqwFJPHX42eqgIcsLe8jhc6srGoeoonGlPwYWeDOyrJIzKK/WSMOwqCsOeqlhcHGnG1eEW3FmXjrM18TgurSMNh5ricKA8GAdLQ3C0IRa7yqOxmBuCfTVpONtbooDxsdp0nJB0WSUxqAq0RlusN1YqCLjVbGXRONFTgWXC3FRxAoYkkXhmCAZTJT3XNoxQ+Yt1dG9DFvY252Klhp8tOdhOcJ/Ji8ZyBSG1LosAW8h7FY0ZXvfJ7kIc5vnm8iMI1Ck41JjG/ahwQo0wnhFEhRWFNF9H5TW4M1uYkzGVXAghOQJLhOATdXFKZoZlwnJrpBfmC6OwvVKANR0HmjMJt4mE4ghMFbIVURnmxWKKymepLAN76wn9NanYXhWHkewgKrQADKWHY0Gq+LBNFFGBUwEN58diuS4X22ske0E+JkuzqHCkdn0SerIjURHuiczNjkjZ5AY7XUKeirpiDf0nkF0F0n/Z5WC1CVBqaohl9s/XSz9iaZXtqqqqiqXVhACnxYmP+NNKwJOhljqMCXMaBGI5v2KVZfu+X1mvTbjUU1eBFtc7GmnDnXCpr6LG/VdTgCngy2bEvkw1NsBaSwXe5lpwMyLAmmnByUjcArSht15FyaIg1be8pKiBkQb8bI0JyLrwtNRjvzow11CDLs8pLhGSuUCsrnY8n4GGKuF8Pcz525Rg6mRhogCqgaaqkpXAmb8NddSUal5GOjqwMzWGtbERwVSPn8YwIvSK24BS/IDXYEeoNeY6Yx6jteE2xUIrRRJMlcAvA4KyNpz46e1oQfjVxyZHc8RvcUVmsDcyA9xQmxKIRj5/dUlbsIvP5/aWVHRk+qMjZxsWm5Ow0BiL+ZoQHOuPxWtnWvHJPX0Ez3Z8cE8LPrmvAz97doJtEl892I3X7yzFE/vT8MyhbDxzIBdP78/B48tJeOlgNt69s0SpBPbO6RK8djIfH1ypxXsXCLXXm/HZfW0E3CbcJJB+fLUVP3+mF394Zw5/eGsB756vwaXxCDy6IwsPLWXihYMl+ICA+tbJylU3BgLte6crcZNw/d2DffglQfbnj3GMF6Rsbg8+utKJd8404qYEmV3rxEfnmvHO7R18RuI48QxCb3YcegiW3fLKXMBOCQQj1CaHEmZjMVacjonKHMIuQT89Cp1iSSTMSVnXIYJsf24iusTflHA5UiaFEyS1VwJGC8UlQXLHxim+ptImi9IoO9Ixx2doslDSUomPbZISBCbpvYYIwZJdQMrbjhKQFytzMV+eTSgWX9oUTJZnUL5mY6EijxPPTAUwO9M4zqwoxbI8VZ6G2SrKr6psniNDSbe1WCZuCwKyku4rhmOgHBDXhTwpgZumjEv2GyFQi3+tjGFAfF/TI9GSEI7ayIBVmOU1dqaEKtfflhKGxtgg5bzi1tArFl3eM8nE0JkkmRhW/WoF/KXyWUdyGAGW4+S5VtOdRfJ6JWguSfHxHSKsz8pkII/3UWBWrp9w/P+x9xfgeVzZti7ciWUxWpKZmWOUxZLFzMxki5mZLbPjxInDzMzM6XSYHXLAYYc7HYZOj3+M9dk76d4n557zn5t9e9+rep56PipYVVLN9a655hzz3xpm8b+TAHbMK3rKd7jnjZ/w9VeWeNQ/2jNrQgYu4nn53deP8hia/v8PoPi/wzP7LS559Wd8/eV/Xn/8vzm+cXz5b7J8eDO6igmev/13MTD7L9+Z5X8Gsz/h+bNbceCxby3H/I8EMu1zPEHs/2z5XZjtTfIl1HnRMAZjNJudQGowxopiMFaSgH01KQTZVMJdInYSeBUn2xa5gVClqfYUGrBA5ASuxsaFc7B2+lQs9/DA6umeBAk3LHKwh7fHJAwSAK/vzsPlHZk4UBCMUwsCcUpRMHbrfVk0dqQHoTxkJbYXJ+HMGkIi4XB/JgFXhQhMWdgwnLo1BhfWpeBsaeIqyz9iHQE4Hhc35JvytCMpwQRtdlbR6wl3vryGEOytZPtS/NEYvg4diQGmPrqq3ghIR7LCMJARjOH8SPQk+5uCETsKLQkcwwVR2F7Ezoz3pTEy0EwRNrPjqQpZj7oIX1MHfT/hcG9xHAbTN2N/eTL2FbHzyQ5HHzuAQQJwb5o/4pfPxGRCmxvhfqrViYhdOQu9gt+KeGzP9ifY+qPKfwmCFrsiN2AxBlXetlgFFyKN0sNguh870BBefyQHDhG853GE82T08lq7kgMJqTHsHJVF7WMq9JxWk4cdZWlGSkhZ0Upo6eOquLp2JX+kxaInnR18dgI7o0hURW1Alu8KbJo3w8TKSpZrwp8shRMkq2UB2t96Yf+zR/b4KqicaGX3n74/kcc78TeJYXa8Hw6EPTuCrby59nyV59bZ3g4TOBiaeMIEroJaCwCr+IJgVnGo0mB1IAAf13a1m2DFdv6asKbt7bntJOsJWDrZBSsmO2M+wXkh3092sIObna2pIKdQh8XTXbF8hrtJ7nI65vldPNUVc90cTVysYnUdrZWkRvhm2+ZO8YAz2652TCN0TnayI+QSjgnZioVV/KsksySv5crzTHF2wizPSZjm5mQSuWZP9TRhB+5O1sfCDuwx2dWOgGtRTHAjKAtepUE7y90R86a5mVjZpbM8sG7xbKNcEOW1Aim+q5Afuh7FYeuQG7wS5bEb0ZLui4GSEBxoTMDJTYnoKwrERf15/ByN05siDMw+en4F3rt3FIcJjc9ftxXPXVmId+9pxIcPdOD9e1rxyrVb8dQFOXjinGw8ekY6HjuYivt3xeCps9NNeMGhi7Lxxg1b8fyl+Xjt+q1466YKHL2vma9VhNYyAi4B9JZ6fPmXNnzzTDe+erKPkFyPm4fDcctwJO7blYhHT8/GM+cW4NkLCnlcAXIRXiLMvnRJMd67uRGf3NOGLx7qMuVu37qhDq9fV0uALsPr19bhtaur8Nz5hXj6nCqcUhWNyoj1Js6zMWmziZ/VTIOy+VWqtjrKB6WbN8IkicnTSJhT3GxDHAGN7y1lZuVxjTbKBsPF6RgoTkU9gbgrN96EKCg5rJOfBaa9hLseAqOKBwxmxGCUsDmiCmI5sfw9DL2E2uGCBAyZcrgqLRuHsYIUqJCBSsQOKjY2Ow4dKdK5TTTyYIMFCjFIMu1qVggCj9VOYOxOiUQ7gVDVtUbZlkHC8ojCEmh3R7jPECFWz78qjjUT0BULWxcdCGngKq5W0FoTFWCKRygJroHvG6R+wFXeZMG1PMudhGOFQEiuTB5ohShI7UDAKmkuafQ2cIDczLZIoqydNq+dkKrzGL1ZDhAUy6sy34NSbEjejD4VeGBbNRD494bZ/4k01y8W0P2PKf2vfkD/P4Gnln/g9Ru0/x8Js0Tux79FlBLKzvvX+Nb/zZjZf4XZY8lkzff/S7LXLz/j8y//5X6ML/8fWt7BFa3F6Lr05WNhBh/iof3VKN52L37rrLUs/xOYff9m9O9/CCag4JdfPbN4/7/AM3taNaG1OJxwRmAi0I4Q8vZvjceeLcmmEsz2PMJVboQprDBEYGuO3UDjHYMRGtvelECOzlWNKtgYuvLIAFRx9F/LTqQi0hc1Yb4YosE7pyoVB7cmGzWAvQXhOGWrqs1EoZWdUdaGxdg02xl5vsvZEURiL8GwK3wNKnyWEgoJdZkhpgb5aVvicFljPs6ozKLxJAyXJuGc2gwcrEjGADuVWoJmRchGtNH49mlanu0fyZV4OTsLGvbR3FiMpEcQroMwlhOCTra7NyOQwBjEziGQ4BduOgslPQzznCNZoRjLU9ytNBY3mFjUHaUp2L0lE3tK0nFqRRr2lMXj5IoM7CpJxu6yZLY1Fr0E6c5EX1SHrUfy2qXwXzoXm2Z5ImPDPEJ2AIE6zJTJlVRXc+RaNEatQX3kenaWkYRVdljpHEzksi2EdlUIkmLBWF4UdqvMZmEC4dQXBbw3LYmB7BjlOQpih6kqY+z02IFqilXC7qrn3sMOp5OdnukQ1dFmx5pEmQ4Cd1OiP2JPWoh5rk4GZi2FDCwQKUA8ke8tEPr7EHt8tZpACLWyOfbZso/FKzuRQDrx2GdCL4HVikBoTcC34epooxAEwqMAlyAokLW3tjHb2Ur3lnArz64jtxE4yus/k4DqaWttPKfH22bxzFpibt1trLGC91tlZqc5EJS5j4POJZAmuLrZWmH1vClYNNUdVjyPQhqmudlj6fRJmEpIFZAqnMDd0Y7QTTi2t8X0Sa5G2UA6sLOmTMIMD1d4ONrDmdvJa7xywWxMdXU2v7sfCzGYTNidTIB1IOzOm+5BiHWGpyTKeFx5Yyc72xmQncJzzuUxpysOlwC+fLYnYXsS1syfgjVsp8+yOQhYMQcxG5cg038lKmO9UJfANXEDKqJWoyvLG6c3x+GMpmic38PBZ0s8zu/NwNXb8nHpQBIuHYrDLSdn4Y37RvHeI9vw+h0NePGaErx87Ra8c3cLPrivDYdvqMQT5+XgqfPz8NjpqXjstCT85UACHj0tES9eJI9qHl6/fgtevbaMULsFb99MmCUMv3NPg4mVffkai0LC0fvb8LfH2/HV4934lGB69+543DYahQf3JeMvp2XiqXPy8ez5+Xj8zAy8eGE+njs7C69cWoK3rq1kx9+ALx7sxCf3tuPoXW04YuS4eNyrao1MlxQQnj2vGue0pKA6eqORuVIZWumvNhPM9Nwr4ckkPclryAFdG21PJ187Ui3JUMryb+P7QVXMIpT2ZxFm85MJlQQ1QWVerNlO1b40/a4EsR6uUhkYyU8g/NG2cJ9RvtfzpqIGShAbEOjyeNJ4HS2QlGG8USXo4u9KPhPYdiQqdleFCrSvPKocUIYTMmmbpHmrgWcPz93F9gk0R2mLNAAfkGdX5yxIJNTyfXq0id+VZ7WWsGqKQhBG2+IEq5sJr8GWZDgCvmSzGuN4n7gqHKEzUXG7MQZEFXPbrPCMWEl6qXKawgcIsrQrtTEBJpygMyWKdiIEFRw4FEZ4oZy2p4nnEgTLEyu92o6MUDPTo7U7J4IgHfxvD7O/Fk34Fgfv/wEvvfzj7xRN+AlXaUp/j0WNQMUVbrjMogTwR8MsfuF2x2S3/lN863E1g1O+w20vS83gR9x2TH7rP6kZ/Otx/5Oawc945+XvcVDb7vsOL/2P3NXjy/83lv+rogn/sfzPPLP/vHz5Xxkzq8IAA6lKYgrGqUWR2LclFrtKJaAdYgDt7Np87CmlAc5W4oM/urO5fUEcughHbXHeqAtehOYoLxOXJg9AFSGumeA3yG22q553+mZsIyjuphEfZqcwnB6G7QUy/DEoD/dC6rpFiCNUZXut4jE2o58wOEjD2E7DKsmcbfkx2Ebw3cXX07ekYndREjsLdhqFqqZFmCyOQW+SjHUAO5wY7OQ2e9juAULpKPcfzIxEN431AI87QsO7k6AoBQeFS/RnBBEIQ7CvqpDnSSPAJqE/MQwj7Fx2FumaI1AeuAqdSQE4RXJYdbk4ra4QF3VV4uKeLRjNC2NHxXNIdLyQsJ+vuLowdnYRGCvg4CA/HCOF6pC4XXYIoTeeHRZhP3i1qcJVT5gdyVe8qzzQ7LB4nQp76E4M4H0IJxjzvhGUt/OaR3nPlMiRsGY+cnyWmfcqn9lFaJXnpjrSx2hsNiWyc5TYO79rkUcmzAtDBPphgvFQprKweZ8K41AWuhHLCIYz7CUJ5QBrQqP1iVawnkAANVD7rzD72/fHV0u1LxsbW6NmYPGSWrbTMaxOsCaYyjP7233+ZADSbqK18cjaEhglS2VvxeMoVMWebSEcO9qqyAJh9sQTYM9tBJfSfJ1lErEmsr2Wthiv7AmKrz3BQOhUXsuKOVMwlSCrBCp5nK34u91EHpsgK31YlXqd6eZqYHYi10XTJmEl95HH1Y37KXRgOuHTtO1YGIS7vLFuTpipIhNcp3B/Z0K1q4Mdls+fw+3szOc5Uz0hSS1XAronz2/D9s8TKLs5mLCCSY62mOXpao473c2RcGtjYHYB2zDH0xFLZ7hi7YLJWD/PA94Lp8Jv8XTErV+ElE2LkMoBUV3sWv5tvdGbzf/fPG/05KzH6Y3huLQvCbfuzsN1Y9m4cW8h7j6jCncfLMU9ZxXiul1JePyySrz35xF88GAPXru+Eq8RQN8lzL5/VzPBsQYvXlqEx88m0J6VTqAlyB6Mw9Nnp+CZc9MIk3k4ckslQbYc795ahY8IsR/fTxB+pANPX1SIFy/fisPX1+KDe9rwzdO9+O5ZVfXq4vGycfeeBNy9MxYPK8GMMPv8BYV44YJcHLowD8/zfC9eWIhXrijDWzz2p/e14Cjb9Po11Xjzxka8cmUNXrqi2iSCvcj10CUNOL8tHXW0O+2EKSUkdWZGGG3THoGpvKEEyW0FKUbZQKA5SCAcyecgMS+e//fSkI3Hrq0Z/JzAwbLiWWMJqzHG9igkoI8DUoUVSI5KnkZBsZLEhgpoG3Il7SU1AsWnK/xA6gMCUSkiKIwgFdsLufL8SrTS8SwFELSdwDmBbUg06ggdSREEQoUrxHJwyQEon1cTR0u7qKpgo3wd0XOseFTBI8/XRfAVjJrQBl6/KQzBa1SogEIc5FWWl7SLg9XOlGATLtCq7QjJ8uQaoCWMKhSgNT6MwLoZtQTaFh5DiXJNClPgQKCNv0sRRp7p+kjaqxgldtG+83xNAn+eR9JnbWy3Xhu4FoVsQB1Btjza998fZrUci4Ut2mEBRum/br2I4PnJv3gnP/kBB6UucGybGsLhM/dapvOvet+yyR8Cs8cVBgiY/0Nv1v+qzux/Oq6Wf9aZNdq5l32P1//J0zu+jC//nsvvwuy+LfGoC19HCF2DwbRgDBHGmuN8jDxLe7ym4P0IczSMCX5ojfPC1rAVKPZfgmzfZSgMXIrGmE3GC9jM0XtDlK/JMq6nEVXWsKbhOhN80coRfQ87Dk2PdSWH8jzsAAhq/ZrCy2BHUZSMYXYU24tTcOrWVIwpoassDidvTcQZNbnYU5hGCCY0EkpHFTfGzmekKAUjhM0duZEYIKT2pG7GqeVJOKU0CfsI0Tvy5NmwdDpNbFOXFAAyQnBKWSL2KowiJxS7i+MxRrAbK0nE/oocgmMqRjNjsL88A9v4Pn3NIiSvnmfCDE5huw5Us23cfmdxEn9PJshvRDcBsZn3qS7Gmx3gJnZ60TiVA4AdPHZ3SoDxNvdna8oylB1QiFEnMFNzicG8n/7s5JRIEcFONwqt0X6oC9uA1lje65hgNEYH8p5kYKw0g51dDCrCNiJ/w3JUhXqb7Ont7GC75Elihyu4lWD7ls0b0ZERbuS3VLlshPdrR2409pexM86QlzYSY1uSURjqhWUerghcMJtgKDicQJBzgIOtnZnetyR8WYD1V0i1wOjx9xZvqxVh1gYTJ8oza/HA6jdbW3tCppWR7Tq+3/FV2zjaEf7s7GFjZYFZeU4VOuBKGJWSgLuTI2y1P7e1JnAqOWr2JBcDqQoFsDEhBgovsBRnUHKZp6MDJhMSpzjZmJAEF4KmzqdtJvH9FEdrrJrtgWUzPeBkbW2uQwlbqxfOMgUc5MV15f5ugtJpnnCxtSWs2ppY3CkE/2XzZpuQg5lTPAmqLsYzO9nVGTM8Jhm4VqLb7CmKlZXnVh5YWzjanIj5MzyMcoErjyso1jZTCbLSnBU4zyXILpohHdnJ2Eh4jfVagoDFUxG+ajZi1y1EFp+3iqiTUBq0iBCyEntK/Ph/sYkQG4FzuuJxflcsrtuZjQfOLMNDZ5fh4fMrcd/Z5Xjmuna8cncfnr2+GfednoMjd3fg6IN9ePnaClMF7J07mvDObfV4+6YqHL5mC/58ShqeO0fSWbF45rxkUxXs8TNT8MIlOXjlmmIcuqIQR+9pwLfPDOJvj/fizdtr8dDBdDx0aiqeuaQMnzzYha+f6MZ3zw3i26dH8dJVW3H77jjctzfeqCM8fkYWXrq0BK9eWQKVyH2OIPu0PK4E4sPXbjWKBkdurMMb19YStmvxMmH20OVVJnb22fNK8crlrbi0K5sDt41mVkdxqgoNks6qsvcVOypv6d6ydD5j0QZkhwmbGpjupG3ZU56FXWUZxss5RPukGFS9F4x2EtT0eU95JnZvzTSJW8McYA7y2enj+04DnBokxhkYlSRXHyFVclrSdO3h8ziQRXuSl4zRXEJzugA3nscW7EbxWKoaSJglVOvcUikYKyQA5wuQo43yQqvCGvibwFfxsv08tgoqyDuswg3NBE15h1UGV6VyFcNq2sXjS26rnt+3p4axPYp/pU0mnNap+hhhV3ZZ1ykwlp7sMO1nN9vSTDvcpUpotPu1vK/ZXou5fQBBOZj2JABFQcsJxQptiEUn4bshlueJCzLJspUmpGMDKmL82B+sQ/qGNUhdv+q/B8yOL+PL+PLfcvldmN1fmYh9qopVqimsIHQQPpuiNqA5ZiNBVOoAG80UfuTSBdg4yxNzbK2wyGkCfOe5Id17EeF2ncnGbafxa0kMMjItDTSQPTlpJmFiR0ECRgmVJlFB2oQ04qME1z4a5e6kMPSmRWN7WSZGVF2HhrgrJQQdSZriEvixQ6ER3VOYhW3sRPrlmdCxafSVYSswkwSWps0lWj5AiOvnMXYQOHcVJ7IzY4fCDkQekmF2Sr3pPCY7h23yuuZHEbjDMVKaiD1VadhRIsHzzeyQ2Bmy0xsh4JYFr8OW0PXsIDazzVHYRxAeyAjj+dkGeablBSGYqvJOOe9RS4o/BniesYI0bh9vvCCC3gF2VpLFGc1L5f1IwbZcdVhRphOWh6mbkG/xCmnq0pIF3UCYVZyfOjrJ8cjD0y9PM69HigTKJDaC6mxLGzunznR26Pwb1Eb7oi0tBN3cZ5DnUTWhbQXxOLkqC7XsfLqyYlEZHYSAhTOwcvZUuBEorQh1ik11tnfARCsL5P0KsP8Ms3qV19bE1Qoo5dElfNpY2x2LYT0REyfYwMXNnZ8l9SWY/RWEj793IjQ78dx2hEpBtBvPbWc1EW4EUk9nZ4IoQVdxsdxWwOlJmJ0jBQA7bs997AjJxxPWFHKgcABPwudUk0xmqWQm77Be5en14PHmEB69lszA0unu/6GwoN+m8riK3bWfeCKmujpi6iRnA5wC6il8r3PPmzEF61Ysw9yZ0+Dh4sh22sHDydnE6ToTSOVZdradiFlTPXgMJ7bHCu72bCuPO3fKJOP1lUSZEsEEu4Lj6W7SnSXcejphyUx3bFgyC97LZiDJZynSfBYjL3Q18sPXIGn9LNTFn8QBnB/a4pbg9JoAXNkfjwu7onBmSyhu3JuNO88sxUPnleMvF2/FXy7aiievqsNzN7fj5Tv6ceimdvz57Hw8ddlWvHdfD964qQ7v39uB925rxvt3NOPje9tw9M4mvHIJQfOSAhMj++IlWXj2Ar5eWoBXrirEu3dU4VXC7Ef3N+Kvj3bhb1zfv7Mej5yZicfOy8HTBNPD11fg0/ua8PWTA/ju2e14m8e/95RkPLg/EQ8Sav9yqjy9eXjlslK8dFExXr6sAs9dILgtx1vXV+GD2xrx1o01eP1awvV11XjjxnoDtYeuKDMe4lcub8FlXZmoIXQpTrUnXaVfIzmgDkA7B9waEA7yueqnXVAcuZ4x2ZRePgudfM6U/GU8s4TdkXzLNL6eEVW2qo5cb8ICxkpTMErQG8hPMF5fJU5VR3tzsKikSj6HBF5p2SoUoP/Ye5W4lb5rN59dxb32pETRjkpDlqDIgab2k5qBzt3J9uhZ3yaVEcKsAFNVypoVg8r3I/nJGKPd7OHgXcDeGMeBOG1OF21EVbgf7U6s8ay2E1CV2KZStQNcZVd1fUO8LiWmqZiCQFjfmWpovH5Bq5Lk6qRRy99b+F0Vr60lRWFifigPXou41Qs4IF7Hc3Mb2reKCH4f7sVriSSAx6IrMRaj+akcmCuGNhBbgzeZYjXdebFo4vXWxW4eh9nxZXwZX/6w5Xdh9pymNJxelYydBTSAcT40kr4EygAawwAMZYVjD2FsB8FwpCARW8N9kLx6MVLWLDKJF6pZPlqUbLwXqrDVkSbvwGa0yHuRRYgjdO0qSsIwOx0Z+C4aRE3RjUk4XIaXnc1IXhKPkYlRZQzzuz5CmTojMy2YQ8jOTeGaSpglmNKA9hOKBYejBUmERh6/WBn7qea4Kt0oj4jkYnYTkEfz2Smwsxnh+SRbleW9DEHzpyBh/UJEnjQPIStmIt13OdrSg9n5afqQ2xbEmmQ0lbU0HhtCay8BUtN/imsdYYcpT4vCLKTpqPjUkeIM9OanoIEQqulAbdvHzk7nVafVz7bLqyGg7ecqj9G2QgI9j6WOTp4XqQy0p2nl/ornY9sFqpr+lPC5Kv8M5SViOztAeW1UBagtXtOMkhXS/uxE2Xmp7UP5sfwuzMTiqRSmEjlUw76Nx67h+6hl83HSNHdTtMCB8CrPpiPB0pFAKjksrccBVuuvMPrb7wi2BMoTpRAw0QYOdi7mVaDrYOcMt0mexjM7gevx7X8Ls1bc1yLpZUWotYWrnR1sCZYu9nYEPCcCqRQPLCEKUhFwIsRKGcDDzgquUjbQ/jyWVAwcJk7EXAGpSdiyNXAriLW0VYlnVpjsaGsgNmDlHAO1E08klHNVeILOr22kBbty0ZxjYQQuBFnCsxvXSS6YP3s6Vi5diDkzJh+T0HIxnttJTg4mpECgKn3ZmZ5umEFInWQ3gQBra0B2jo5HeFWYhDy2Cn9QEQZtN2+yCxZNc8OahdOxec0ChK2ajQzfpSgMXYnmzACufqiMWoH2jDU4UB+CM2qDcX5zMCExF9eMxOFgkx+uGInFwxdW4NDNXXj5tlY8cXklnr++Hi/e1ITDd/fh8O2dOHxjM16+sQXv3NuLD+7vx5dPbjP6rkduIdjeZZnef+sa7kcwffHiPFPx69VryvAK15f4/p07qnHkpkp8TJj96ok+/HxoO75+tIf71+DtW2rx7q2N3LYS793ZiC8e7cO3z+3Epw/14JmL8vH4Wdl46kxLMYYnzsghFJfi8BVbuJbj6TNyCc/FeO3KLfjo7ma8w2MdubEK795ez3M24qXLt+DlKyvxwoVb8OpVbbimLxuVYWsIgMF8pjio5LOkQV9HSijtACFUca8czPUL6vhbO+2RihYM8ZlUSEEPAVReUiVq9fP50MyNKVHLZ1VT9jXR/sjwWYVU2or4DQuNKkmmD/8WhD89q3q+pRxwfJAs3VVVIWvl9620by0J4fyd7zlwV6yqpKqaaSf0LEv6S0lfKmXbz/P1sY3SfLZ4fPk5M4lQHmZiX02YBNuvGF/tLzskKO3ktfRxQNqTQTvHV9koJZkpDMISv6swCdokQvp2U/Ka9oK/q2BErwbMPKbuWz/BVgUnGmMVdhTLAXwSbV8MbUUAGjUjR7upge+WiCA08noa41QcJxS9vEYVgNDgoJM2vz+Ptoj2v533tp73ooV2bBxmx5fxZXz5o5bfhdmDFfHYVxKHfWVxGDYhBt5mlL69SN8lY29RPMYIR9sL4ghQMso0tPKEEg6VzSqoaucIXklZRp6FwNmSHkvjp6mreBMnpoo4ypptp1EcyI4zHtMugSu/lxTNCEFwhAA8KsNMoz+UqQ5GiWeJ2J2rcrAW+O2XRySFRjZJvwugowl2ikO1HE8C5oP8LG1GeYXlAVYWsoHZ9FDjYcllx5TnuwqJ65fAd6Y7ghdMR0WUF9sZS7iO5P6a/lOFnjgDrf3sFHpoqJXNq1g0TTn2srPoI6irg5DHZbgwlYY/Do1JqhUfZsTb5ZXtZQdrNBi5XUuSvDwh7OTCTaej7zXd15EZbZK2GhJD0Mjra1M4RX6ikfNp5z1oYWfWQoDvkLakQJjn7kwMNp4heWjkwekkwMtj088Obic7asXe1cf7HVM1YIcrrw/vuUpdlkX4ImrlQixwsSf8WcNuwkTYEgKnurvB0cbWhBgIZo331cDgryAqdQJ5Xo8D6YkTCLKEYVtCsJPjJOOdtcCsExwdXY1XVmEISio7fgzLqs8nEFInwpqg6kgQVKiBpUKYNTzYNsXKqi0KEVCMrc2EE4zX1N3WykhjOfLcNgZo/wQnG2vMdnc15XgVA/vbNk844U8mDnaWsy0WuNvhpFlucLebaDkut9Wxdf2qTOZKoF+1ZL7xyE4ieE7zcIMnQXYyjz1r+mQsnDeTvzlgzrQp8HRWVS/dN1dMU4IY2+BpNGUdMXOSg/HMKh528SzCL6FW7+Wd1XsVYBB8zyAUz5/qhhUzPeCzfDbi1i9GNgdXRUErUJewEf2FwRguCcJoqT92l/vhYEMQruiLxW07UnHP/iw8fE4R7j87HzftScSDfH/kgWG8RVh99ZZmvHBVLV68rg6HbmzEa7e04L17u/HmnZ14864OvP/wEL54cjveJIA+cUEunr+0CO/d1mhKy0r79cVLCvDaNVsNpL51Sz1eva4cb9xchY/ub8VH99QRUlvwtWJjn+7HV0/14+tnh/H986P4+KEufPxwOz57pBvfv7gL3z41gsPXV+H5i8vwtDzDZxJcLynD61dX4NXLCKeE2ScO5uC58/J53gJ8QIB999Z6HL5qiwFaFWd4+fJSvMrtX7qU+1zZhCu7MgicGwiK/ub5ERgqiaqZENhO22BkrxL8+Vzpf582grZg1CRmqTwt7QSfOyWFKclLYCfAVVUszXhocF4eQRsRuAZZfquxJcoXtQTSdnlcDQhrNuXXEANTepbPuNGo5XOq+NMGwqwGl0b+i7+1pEgPV8UMONjn9n20R/Jq6jgazHbx+ZXUlyC1n7ZLyVXNRiuW9pXtbyVA6zgmeY2/mWIMvAbNzgxxwKsY327uP5gbz+MqMUtqA7wm2pBBbtNHeztakszBbILxBA/RrsgmDPB+qLRubaQ/B8VB3D4aO0tpb7dmGJvWr8GvbC3tn+yXSvK2sl0qAqFKj7Wx3gRt2v2MzSiPWm9CDSqj/NGcGjsOs+PL+DK+/GHL78LsQFoQ9hTHYb/KpxbGGMUCqQJ0pwaiOynQyFiNKjaVrztzCbsRG9Cf6o+dHMU30YBJS1YZsx2KV6Ox1ai/jeDVmsSOJCMRo0VpJia2gwa2k5A7XJBqpvDUmSj7d5gwqyxdeVV7CV0DCjOIWo2+tFDske5iRoRJYFIIwSA7KKO5yE5B2ytBQfFqZqpenQGNro6l7OI+GvwxnmenPMM0ziN5qrIjIx+L3aUp2Faaxs4i1hhqGe7hfE3Jh2FbTrQ5hyRmNP1vpgYJzXWRfiasQFOKqqojPcYuwqM6Fk3lyaMjkFdHIW/wUK46ylAafHVmvC/sdGoIs4LXHoKlOqd2vm9jp1iv0Ax5bOTBZuexrYj3iK/qmOWNaeF9beL9FfQO8TrkhdK0Z4di9Xjsoex4nLwly4RqjCn0gveqk4OLdnWCPG4nIbaDEF5LAMjxWcWOei1WTPEwhQoEkIr/lBaqDeFyIgFR3kwldv1W+krwOeFP8rL+GjYwwXhWrWHF/RwdXAm2gmEpEFjBjkCrUAQB6b9C8XGYFegqycrV0R6uhFl5ZgWVTjaE1AmCZwvI6hj6baa7C+Z5umL+ZHc4E0Al8WXL35R4peIElnb+86pyuO521pjv7oCV092wiEDrbK02/cm0T6+Kt53s4oRJDo7wdHNmW2zgrkQzQrObiyMme7hgwZwZBFpPAv8EzJ0+FW7yyNrbYoanZLQmc19b83mquzM8nBQbS7h1scHsyc6EVnu42U7AFAL1DDd7LJo6ie1xwgJPFyyUBNc0V2w+aQEyfJahLm4TQW09/w98sKsiFGPFPoTYYFy/PQWX9YTjuqE4PHx6AR46NR2Hrq3Gq7c24dlravDweWV47e4evHZnD968pxcvX9+CF69twVOXVOCZKwiHd7dy+zpu34yjj4zgk8e24e3bW/DCZSV48bJiQmQdPr6rBS9fWoaXryjDmzfW4N1bGgivHXiHkPs2IfOTh3vx4Z3VBN9KfPpgE358ZRQ/Ht6Jv797ED++cTI+ebQPnz3Ri6+fG8W3hNkv/tJnwgYePysPz55fQqAtwuHrGnD46mq8eFEJQXUrnj+/EM9fUIAXLiKMK172mkq8dV21qfolwDVatPzuzetq8erljbisPRM1MV5o5LPYxmdXz2AHn5vONL5ybYgPQZ7/atTwf10FAASL/bQHUjZQLH81gawiYpOJJ1USlcIMdm/NMbMjmtlQbPsg7YWe8wHFsxIGe2mnTLECPkeK8Zc3VINpxb22SLs2QfGpbE8q4ZZtMDJbhGjF0xrAZBsULiSbIfhUAmsvbYsGprIVJryK5+3j8VURTImdals7QbaaNlZJVgLm4eIUkwiqVcorSnbbfaz8rtZWDno1U2ZCkDiYVlW0HrbFJOvytUdJadLJ5f0ymrgZtLcqQ87/Oeln96UH0h6zjYT+3oI44z02AE+AVUiUkssaItg3pIeY0AT9DUoC12KLqodtXmfK7e5uKh2H2fFlfBlf/rDld2G2xG8VAY6gR2DtS1DVqc3oVBWhRB+0RK7jb2HYo+SFdBrYOMlwKdHC3yRetMbJQxhFgKTxl5QLjfogOwV5LSQPo6QETXO30rBK11GZwCo3qYSljoQAbhvN/QKRuGGxkdoZLhRQErx4/F6O+ntTg9CbToMsjykBUMdWUpnAcxsBVNnMW8M30qiyTSmbea7NhMAo7KnIxPZSgnChJMCiCXmxBFsZfxp5GmJ5FNozeBwlgujaihLZkYSaMIKTSzMJoYRUgabgmvuaKUl1auqQ2IGpI5JHR1OC8g6r6k9NhJ/pJOR57lEb8yKxo0TeXYs3xQiw8/dudibtKez0+LmDMC1P7PFVAvAd/F5Z2SMFyWjh8dUJ9rENA3mJxvvbz3vUwU5PWcd17JhrlNzGDnF7UYppr0B7m6ZR2T7F5zVH8V7yvinmromAW89ONztwPWba28CRMCq5qrmTPTHVyYXAKE/pRFhJH5ZQehxCLZqvE/ibDT8fTwzjKhjk9wJTGxt7I88lCJYH18HR2fKewPprQtlxoLW8al+bY1DqTBi0l26rjZWRx3K0UTuOn9+iSODObaQIIMkrJ0K0qoM5WU8kyDoSIB2NIsNxoJXCgd4r6Woh4dFr8UzMJVR6EpYtsl6W7eQBVkjDdA9PE1rgKEWESS4EUUe42NrAjqA73YPwOXM6X90IpXaY7j7JJH8JXhfNmo6ZU9wNhHu4OhCC7QjdjiaUQHqyMwitKtgw1dkeC7idQgrWz5+GdXOnYOVMT8yd5IBVM9wQtHIO0rwXEZ78cHJVGLYXeuGMhs04p1He2AjcMBaHO/ak4pGzCvHsxRV46sJiHCLgvXlXF97ievi2Drx+F2H2jj6C6xCO3DnI1wH+1onXbqknZA7h5Rvq8MSlRXj/vg789akdeP9e7nd9ldF+PXxdFT4i8H50dyfeub0ZH9zTifdvJcze14YP723BR/e341PC7OcPd+BvBNZP72/E18924IfD2/HDO6dxPR3fvL4XPx45Gd+/soMwux2fPdiF9+9oxHMXFeOZC4rx1DmFeOGSLXjp0q04ZDyzel+CZ89V6dpivHRZGV65Qjq2FuB9lqArtYOXFWpweTkBuAYXNCYRWL0tlaqS5AWN5WfFfHLl4K4+NhhbQr2MDm19LAd8mvrXYJGDP1UN00C7S3aEz0OfQg/4bAs2NUDskZ4qB5BKfmqI9TUyU7IDg4RHhRQotEGhRYrT7eGAWgAsWNVgWklSksJSOJCOqW30/GnGSDZDq+S0VNK2lwNvA7PZhFkCq+Lbx2iDFP+qfABBcxfbUssBtErSKnFUagQdhN/BXG7HZ7uD9lVx+wpp0v6CTWnOdhLuTSgCr6lTg129p01qStDvtOG8H4JqJY4NFERjRxntGG29Qsu6E/1NmJcKIrRyQN/A41WGeBmVA4U/yXYIbocLk0yMcAevQYNvFX4w3toYH4yWJ47D7Pgyvowvf9jyuzArg7uzOBk7iwg/Ud4YztqMnYWa0vdDS9QadERvwFmV2fwuFvXRBFx5RDTdnk/II2DtLs0wsVkjWTEYpsEf0ChengXV8o7xN6P6uphAo6koD4qm6JWs0UOj2U34rAhah4hFM5HttZywF0Yjr2xdP3TQgHYTUiU9pQQNif6P5Er+xlJJR9m1pgPRVBiP2U3j361YuTwpHSSZijpDBfEY5et2Xt/u4lRj+DvlEWXn08ntezXNpw4hN57HU6yuOqJI06l08PsWdUDpsejOUtUbQrg6NoGlAUV2OOwUjMRPZgyhVceI5/UL1iX5QygtUAIaYTovDsM8hzqR7jS2ryDFTBH2Zsezg7NMG3ZyUNBEmK2NZIfEY4wVZ/Ic0fxOoQ2We13L38vkAWZH2inY5n61HAxowCAZIQ0ISkLWoSpyk/HUjChJhp20pSY8r5NA38p9Yk9ajulODiZG1JlAu3DyZEwnfDpNtIEtIdEyvS+QtICrPKQTT5wImwmW5LBfoVRAavG8TuDv1oq5JRgKfJ1c3Mx3ipm1hCz8ayKYZV8bArC9tbVJ9rIlzEpCS1Ar7VlLeMIxoCWAChgnOQoibUwZXIUXTBHIOhJubWxMHO5/gDJXxcOqcMH8KZrKd8ccQqbkv+SRPb6dNHKVMDbVzY0g6mj2kfyW1A8UR6vzKIxg0ZyZmExgnjVZvzkY4Bb0KjHMgQCuUrZSKJjsbIvZHs6YJYj1cDLe2HmTCLdOtljONmxaOB0JXssQuWYBQtYuwnLC7apZk+C7ZAbKwlfyf3ETzmoMxXnNwbiiJxzXD0bilu3RuHl7FO47NRWPX1hkPLJv3NlEgG3Bqze34ND1hL9b2/DOvf1cR7huw5E7BvE2P3/wMOH2zhYcfbjHlLR98pIivHlbPY4+1I3PHh/CRw+04Y0bpG6wFe/d1oSvntqJr57Zjo//rMIHDXjvzgYcvbcJnz/Sg08easPXTw7i6+e24Z59iXjzlhJ88XgXvn5lL3549yx8/+Yp+Ontvfj+pW344pFufHRPKwG4Ay9ftRVPEZifOCuPay6eOkvatSU4fOUWvHZlGV44P9/Ic714SQleuLgEL14qeK3AcwT2Z8/O5W9b8Aph9qWL63B1dy4qwtaiPMwLDXEKL4jiZ29UR/uiKsIH1ZEq6erP5zjaeC9ViUuzJpX8vpoDu450xcFHm8FgC4FOA0MVC+ggvGmQrdAiDWbN7AdBUnGykqnqz+WzxP1MUhdtZhsHsB3yqnKA2UXb10ZoVVyslAhk4zSwbOL+ks1S6dshAqXCgIy39pjXVOFGHTy+PLDDtFkKK6iNVpIX7YFgmfZSdkOQ3cr2NmqqnzCqGHjFzA5lW7RvNUOjNjUQfuUtHuAgeYjPfythtEc2jPs0xisplDbTJI3yGGoX7WVHmkoA857FeHN/H9oL2mXaW9kwAW8tBwZSNdCAWTNMjWz7YFEysvzWoDB4PbppY9sI0hVhG3jvN5kKbOMwO76ML+PLH7X8Lszu2BqPs1pycHZjFnbLm1gQQSOpKexN6E32RXfseoxkBJls/27CZmcajXQsR/I0sMrUP6U6E3u3pGBHIeFRgBUXgB4awz55OmjQh3MJfjTOW9nhCLyUodus6jJx/uwQggh3NJrynsRbkiM0Na5OQvsYAXEa0NZjyQeSqpE3t49GvoWGvSkuhB1HMjsDnpfbKcGim8Zf0/LK3u3VNBnhUyA6lp9qOiNNF6oTsXgrCdY8txIq+rOUdKYYWK783ug38jgt7Py6BLP8ziSZsVMby08hLMZzX3VmSiyJ475JpoPpJZQqAWNQQMz7NSJZoNJ0DOcnsnNT+chQcz55S7RfK69LXhaFHVSz090a6osaXq/F4yHpnBDTzlp2TD4LpsJrrgfKIrzRKaDmKk3I7gxuSzDWNF/4PDdEL50KlcvUlOOwYp3TQ9gB+qOBA4S0TSuwYcY0M02vsq3zPSZhzaxZmD/JHZNs7WFHYDXFBAxAWryzUgWwt7E34QP/CrPHV4HpRGtbTCCUWvPYjo5OsNU+VtYGZv/ZM3tsH34WPDva2hqJLgfCqRK9VKxAslryEFv24SqYVYyqi5OBShdCpsOEEwmPAllBswV6j59DMCulgSnODpjp5kCYtMFUV4tyw/Fjantdq2BacbDOdrYmJnampzyt1rAmHE8j5M6a7InFc2dhBt/PnupB8D4RHjzuNHc3o3xgN+EEoxsrmF0wVQlgKlfrjLl8724/EXPd7DHH2Rob5rghw38pyjavQkNaALI58PCaOxVr5ngieOVsVEavwp4tgTirORRX9Ebjrl3pePCULDx4IAX37Y/HQ2emEWbz8OJ1lThyXxteu6UBz11ViQfPKcRTl1Xi9du7cOSeYbx9zxiO3DVCeO3C0Ud68d79nXj/vk5CbicO39KIN29vxnv8/PkTw/jyySHCbBUOESo/uLsVf3tmN35+60z87cW9OPpABz68rxVfPNqNb54bw9+eGiHsbscXz+zh/+1CXNi2Ea/fuIXbdXL7Hfj25TH88NoIvj9E4H2qHx/e3YwjN1XjlavL8ewlxXjy3Dw8djADL1yQb2D21ctL8ea15Th0SSEOX70Fhy4rNYliz11QhJcItC9cUoqnz5acl2S5Kgm+bbisIwflIasJZz5oiOf/NG2KBnzytKqYwAgHfQN8XsY4gFWVrbakEILWJhQErOW6AU0EyzZuJ89tVYyfKbyg8IOG2ADakyCjJKKiAtpPIDqYrcpecWawaUKPCILyynZIsUDPeo5mTPgcCoxphzTAlTqBKRfLgb8GmPIMKz9gkINexfCapEweW3JcSvBSSIOqhSlcKcdvJZ9nSwEIQW0v7ayUYgSWAnCV3VW4kZQTVKSlm9cjpRjBcUtsELePxCjtivIPBtjOTp5HxRG2bPaGYlpLQjaYOOAG2k9Bf2X4epSGruH9DER9jL+Z7Wrka7PuK+20HBjV4Rs5yOYr71cz21vHfTfPn4vwJXNRLxvNQXJllDcH0d4o3rxuHGbHl/FlfPnDlt+F2QMV8ThQk8IONBs7iuRRDMNYaTyBkaCo4gUxazGcvRn9/NyVFMxRP425gNN4S8NNIYFdJSk0qmFojd1Mo0rjSSPZos6Bo3RV35EETG2SqsRYYsvqIrwIvfyN2woABXq9NMwCtnquKq/Yp2l1GmPFwEqiq58dRzcNdif3V7iBMpA1bdisxCp+16bz83jt7EzkPZAXQUlPiolt56pp/VZ5MdhmxZBKUquD25pSr+nhGCbIDuf9mpim0AJ1MPKcmA6HwKmsaMG1OszhgmQDpKroo/YrscKUiuTv8gArFEIdm8kg5jUoRq00dJPpiJTIIaUBxcV2cB+BurwlRUHrUMLOoJqgX6dORVN9vHd17JDSvFZgkaM11k51QUHIJgO7KjVZz05H90BJKlvDvZHpsxxJJ81n5+KD/nwCd+pm08lIgqckfBOCls7FFGXvEz7drG0QsHIJQlYtx2IPT0yysYOt1AkmEGIJh4ppNfGqVjZwtHM08Hc8Mew4NFpWy2craztY8xiWxKoTYU04njBhotn+n8ITju2j7zXFr7hbnU/vLbGzE9mG34Kz5VxOPPZsTw9MsifAEjYdCc3zp3saWS2LJ/k40P7JEgvsZI+pznaYplhVguw0AqYlDMFyTHN+HmOyiwsWzZ4JJXTN8HDDFFcCqtUEU2530awZWMB1PgcAC6ZPJ8Q6wZ73RyA7Z8ZUE287ycnWwOyMSU5YOnsyPBWjO20S5k1xM+de6G4PPw4yUtfP4KBoA/+n1+PSgXy05YRi04IpSNu4AsFLpyM3cCG2FQfglJpAgmIIbhwlwJ6WhYcOJuPR89Lw4MEEPH5RNp6/ogRv3EkovbMNL9/QjCcvqcYTl9bihetb8OZdA/jgoR0E2G14+64eQms3PvxzPz64vwfv3tuDt+5s5++9ePXGCnxBmP362e14/+52vHJdDd64qRafPrYNf3/vIvzw9vn4lL8rDvZvz23D96/tx89vHsSPr52Lj5/Yj5S1M1AeOgNPnJ+CIzeU4KP76vDXR9vw1dM9+O6FAXz/wjD+9vQg3rmhBq9eRZi9uAh/OZhuqn8duqQIL/LzCxcV4g2C7pEbKvHuzTUmfvbFC4tw+PJyvH414VUQfH4uQVcxs/U4dHkzzmtLR32sF+1PAPqzQzGkmRQ+byr3uqMoEWfU5WGMEKu4TyVeybtaFelrJKYaE8NN/KtK327ls1gfq9KtwUaRQN7SjsQwo7giG9DGZ6+ZNk5e1Q7aiJYE2h49uxyMKpFVsyb98poScGUbpHIgb6qJpZf9ot3oylRCp7L+Oejlsyq7pbh+k3yWpQQxgilhtylW3tgwvvK557OvmHqFDrTHB5nkrLYEQjbb0pZmifvtpO1SGEM/IbiDYCmgNfqxvC7pzKo4Qku0ZrUU/hBkQg6aOEBupK0oJ9hXxQShnjajnHahhpAqkFcYRg0hVp7VGkJrPUG2loOFeg6AK6I2cttN/Ez7zWvdGulnZogyfU9CO+3QcEkaITuINkv7/nsXTXA5N2t8HV//X7de8+x9ePvtt/9brP+ny+/C7FhGMPZVJaOaBjV8+WzEr12A3qwI7CpKILwpqcsPe7YmEsholFNDCHyxpqTiYHY898vGldsacKA210CmprQ0vVYX5Y8GGsWqkI1oYWeiRIJ2AqM6h6aEYNQRumSklTSmRCXjvSWIFmxehbKw9TTMksFRxxGMXhrPIXYS27mNKmK1ypjze1XCkTajIFV1yAWYCplQ0lQNjXN9QiA7C4t+oxIV6ng+xdmZ7xLY1myFD6gCjzwpQaYdxhPMTkQeEQGt4FVeHyVfKFFEhQrkuVHYQ2uSPDHssNip6DeFG6gTlJpBPdtXGxdg3qsSkKYDjeg4j9ebm8B7oXPzetgGqREYtQR2cHVss5JTmnj9dbxPtexQqvhdAzutel5Hfog3coI3oULTiuxIFWpgdGV13TxXAzu9Gp5XJYWV6T1QkGgkxgYKU3jOSOQFbcBSd4IaQc+RsLaUIJjsuxYhKxdhoasrZjg7m4SqiQRPR1uC6QlWsP7TRExxc8ckBxcCouDW4q39LZRa1hMJs46wtiMwHitjO3EiwZbbG6+sef3tfpZV0CpVA8W42tnYwImgqjK2Ck/49diWUAfFrwoi7Qjh9tZWhEorExIgz6oldMByTAGryuSqUtiiGR6Y4miPOR6WmODj2xxfrU88gfDqhLnTPIz+q0IHFCsrlQRrntvD2RGL5szCvJlTsXj2LBOr6+Egr+wkI8/lzHPLS+tqZ4XVS2ZiFu/vdCcbLJrujiUceCxyd8D62W7YErkEQ7nrcGlvDC7tisYj59RjZEs0vBZOhv+SOQhaPAXx66ajKmoZRos34YLuGJxT743bdyTgL+dk4Lkr8rhPKh46IwVPX5yPl2+sMSoFb9/ehzdu7MCrN7TjnbsH8OGD2/DXp/bik8e3443b2/HS9fV490ElZo3hnft68P7Dffjg4R68c287Pn+UMPvUHnxAyH312mq8dl0V9+/B968fxC9Hr8J3bxzE1y/twd+e346/PrcL3x0+DT+8dQXuOb8dK6e5InyZKy7v9cPT5yTg1atz8PHdFfjs4WZ8+VgXvnt6GN89P4aPbm81SV3PXpCPp8/LwQuXFBNkS0zYwOGrq/DO9XU4qnCGm3n+qxVOsAUvX7KF+1Tx9wq8dMVWHLmpEW9d30DQrcPFnVlGcaWf9miYILurNJVgyEEony3NnAgkZYP0TNTxWdBgr50DX4UXdKTH0UbEEOh8UEkb1MznpSNpM/exaFrr+VXylWagWmhn6qIlU8VBfBqBlcCooiQCQs0gqYjJUI7i5gmMPE8n95PUYL8GyrIjqYq3Vbw8z024HFDIAJ9XhfwohEFhTUrAMolffDZlH7YVJxrbIjCVNm4XbWIv7ZuksKSfqwIQ0sKV11ZFEUZlP2SHOBg2UlpsvxwAirvv4MBdFcFqaQs1MK6K8CW4Sp3B35QaL4/yMzNlGljXRAWgkrCv2OMqgmoN70sVtyuP9cGWKC9UciBcFrKBoBrIQXQE7wvvHUG8lvdDCimaPWpKUSlcP3Rm/HvrzP6PQGB8HV//u6/jMEuj0xG/kUAWhKiVczHLxgrTbCYgYf187NyaZEliKhTUEUizCJc04qoupRjPbYVJOFCdhSv6q7GnPA1thC4ZWMl0mZrmNKxa5YHozrQI/vfwVfGynclBhOEoQl40urifSjcKXJVIpYSKoRzuI6Dlb32EzF4ZbgK2DLqm22TwFfemkARl63bIY5wTbabk5F1VEkdtjK/xLjTzN033Ka6rQxqL7AAUD2sSO/IkrC4vCY+hY6ozSFW1nmTTIUgJQLXPFUIgzVolgAlmW+KkcakManYg8sbwWOaVHY3kfer5+5Ywb3YCASYerz9LskCEWHZyOreSvTp5XsXKGU+xwJz71x6D0TreC0l1qaNRxSGFUcgL28BVpSfr2TlqulRTlb28Vw0ciGiaUFOm8pwo3OK4LJc84SqZ2cnBR9FmL3jPmYYZDvaYRCjzWjgXuaEcxBBm10ybhrmTCIoTToQNQXKqp4d5dbWxx8xJ7nx1IPhJ0kqe2X/2suqzvLgTrR1gNdGB4GoFqxOtTQytwgwEpBMnqtztv+6nogU2Zl/jCeZ+JjThGMj+FpoFqIp3nUzoFlBLgkuVwTxcnI/Fyv66ncIDnAnGs9xcMGeyqwFOu4k2PO6/eof/BHljPV3sTYWuaR5OBFU7A8JSTzDnc3PCnGmTjXSZJ8/l7uiA6W5umM57NZUw66HYY24vDdllc6bA057PkPNELPCww8a5rghY4MZBxAKMFXvhopbNePjMbDx9SSmevbwee2sjsHHhJCzydMLmJTMQs2YG8gPmY1f5ZpzfGYPLe8Jx81gMHjgtBY9fQKC9PB/PXlaEFy4vwwtXVeK1G5vx3p19OHRFPR45owiv8vO79w7js8d3GbWCN29r49qB9+7r5+cxfMzvPnpk0CSDffBANz5/bBQfPTyIt25vIQzX4pXra3FERRQeG8YPb1+Cn45egR/eOQffvLofX72wGz+8eS6OPnEOmnJD4Go9Ab4L3TBWuAx37gjEg6dEEKqLcfTuRnz+5258+Zc+/O2xfrx7YyMOEV6fvbAAz3N9+lwpG+TheRNqUIYjhOgPbq01MHvkhgq8fuVWbl+MVwm1R4xXt9KoGbxymSC3Hpe0pdJO+HCwS5uUzeeNz1IDn7dmeSMTw1Ab7oeKUG8Tr6okJj0XCgfozIhFK5/tDsKsircISqXGomqH7YmBfH75HHJt4fOtWH/FqCocoJsD0YHsJNoFPd+RUMGUDgKsqm8JHmXjTIEXxfsTTKVOINvWmeRPoCRI89ia7pfcoFlpawZpy4ayw/ib9FwV1hBswrMGab9k43p5rOMyWEoGk2dXdq+PNkP2QrCsimUqiCLHQkuMvLAKR6BtSg6k7aPdky3leRtpJ6pjA1Ee7osSDmbr4oJQSZBV6Wujj8trqQz1R32M4mcjDehXx2/m4MsP1QkB3NeHEOxlPLiVIZtQuXkdKjavJyATignI5eGbCMMaGPiijttWhXuNw+z4Or7+F6/jMEuj0xK+BnWha5Dnuxxp65cgZOk8+M/zJDwFYl95CrYX0jDT4HcpGYtGtiMjFBLlN2VdC+JwsDqb7wWFFmPamxGGPkGbjH0SR+w00soO7k5XIhKhVolW6SEYzaVh57YDqaquFWsAVNN4gkV5OJQg1pEYYKTBelIIq9xPU3FKEpNgt8IKZND7tBJYh9mx7cyPwvm1aTi5gHCZRLgmHCpRS1qxgrsWdjTygCphwyI4bvHOajqwU9DNz8bjQnBViIA6EItkTyTbzm0Jsw2xwcbrodKVyipWzKzqmqvjVGcoqG1LtnSykuiRBqbpgBQHlyYlBV4j26HYM3lQFQcnL2odr7uR11ITqypq8iqx7aYjU4KK4uvCTAckDVsl1DVoupPHUHUgTT8qNq+anZSmUOvMNKHFa1LD4zTyPqgEZY7fSfz7zsZJU90x38URcRtWoSDUF1GrF2HjvFmYRTiTuoGLrQNmTJlMqLPBDDdXzPZwhx0B0p5gOuFYHKtiZI8D4fFKXxOsbAmzqgR2gpHrMlJdJlyAgEywNdBqINWyr45hzW2keKDPFl1aeWmPH/s4zFpeNe3v6eJiqnaZJLUTCK5WFhA+vo08uIqVdbO1wVxPVwOZKjVrOS+34T6WY6oU74lwJPROd3fBZN6PSYRaKRQIknUOE4JAIJ4+mTDvaAdn/ibprpkebqaErYejI6bxdyWiKTFs4XRPTHGyxWQHK6ya4cx77Y5Mr+n8f1qHK3sjcP/+ZLx8TQneuKUSz11WhnPao+C/zAPznGyQ6b0ccevmIGrVFPTleuHMhlBcMxiLO3Yn4d5TUvDImencR8BajVeurSR0tuHo/YP44K5BvHR5Ix45WIK37ugmuI7gw4e24YMHB/D2XV34lMD6zt29OHJnF0F2GEf5/cePDOHrF/YRZsfw3v3deP+BLnxoXvvw9t0t+ODhbnx7+HT88tHl+PG9c/H9kYP49pUD+Pnty3DfuR3wXTwdDvybrZ7tiq1hM3DDSADu3BWMZy9Ix1vXl+PDO5rw8X3t+JzHkZbsSxeX4rWrtuDFCwrx+OnZeOFYiMGLlxQbgH3v5iq8fyuh9rZavH19Nd64pgKHVRWMgP0aYVYVw17l/XrtymZc0Z2Jqsg1/H/2MaEAiplVYpQGfpqhUdnXCgJVndQICGOWaXMOEGMJqYkcAMaHEVaDUSfPZKQ3qiO8CHSW6l6KXVXMqSqHKRnMyNrRXiiWvY7PqsKRemh75M2VukArn7Fefta2gxxUSumlh8eQ/N9wtrbloJdtkErKnuIEAqwkBSOwLTcCJ5dzcKxQLto1wavUVPppC7fnx2BbHu0hn3XZDMXS69lX0pdmtbQKtFti/bkP20qb1MtrVxiDkrZM5S62T8oGui+yJ1UaVHN/aWVLuqwsdJP5TjG6AvLGqCCocpmSYSsJs4qpraPN6MrkPWDbGuP8CflBZpBQF01o5f3QwLkywgdlwevN783GC+5HmPX5t4bZ8WV8GV/+ey+/C7N7CsMxTKM7mBaM7TSomnKPXz4T5ZEbcUplNvaUxWFXXhjGcsNxsDKNRjsCI/nR2F4Uiy4aVRnSIRo9waSm0IbyogioIejWtH2KKsz4EwbDCbEEWRrGYQLtDu0vKbBEPwwQkiWbpXgyHa+Dax87CKkYqDMYZpv2lKbS4AcTLGn0s6OM91WZyv2ExAEa+jEeeywrFDuyQ3AgL9Ss2wjjjZFeaCN8ymPawk5PcarSlFXZSDO9Lw8tfzOhBZqi1DRgXoKBX6kDHNeTVMel7eWBVaciiS0pEaiMrDqOFt4z6S4qKU6qCgpRGMpNwmCWwgtUxCDKsh2vS15YeWcV06vwBXlg63h8TeFJIL2BINvKzlExbFo1tSmvskIGpKzQRYBuSSVUE1rlmVYsnSlRyU7LJHbw3lexs9Hx+nOS0JeXbGKQVfpyS9gmFId6IYbwupIAl+q7FgkbliFx43KsnTUFM1yczFT+DMLrTHcPeDq5YPH0aSbuU9BneyyZywKjvyZn/QecnjjBeGAn8BhWhFhra4tXVpBqQgn4u5UUEfjZbE/IVClcK8GsAdhfodT8fvw94VKvjgTUqZMmwY77/Os2llhYi9SWK7cTxE52sIbKx6qC2PHff93vT7Bl+yYRSBfMnIYZ7m5w4z4O/M6ALIFYoRaevCdTCK9O9tYGZqcTWmdNcTfhCK729ibMwdPZEUtmT+W98sDqhTMw2dYKoatnIGnDdP6vLMdV/WF49OwMHL6xDO/fV4f37qnCC5fk4arBJAQs8sQMOyvkei9F9qZFCCfcFm+eiwPVQbhpRzru3JuOuwi0T19ciDdurjZVsV67rhqv3VCHD+4bwNH7RvHGjZ148sJKvHV3D+F0EG8Iah+QskEPPnzY8vr6rW0E4A6C7gA+e3IHvj50Kr54chc+f3wM3xBsv3xyFF88PUbwbcXb97bg86dG8f1r+/DD4V346egF+O4I19evQlNaEGbwvrrx2hdOd+E1TsX5rT64dSwIjxyIxuGrikzxg78+2oPPCLTv3d6AI9dV4b1b63CIMPuiIPbSYrx0RSme4zW9eT3bfX0FXlNVsKvKDPy+qe1vaeA+TXjz2mq8fuUWvHlVDd64rgtXDxWhMnwdB26b0KAQnPhAA7GWwgkhBKsAAi4BNtrbxG+aMAM+f42EWHllayP5jPDZsKgRhJskME2TV0T6oFDVAI3sYCJUcMGAHo8v5YQ6HlM60/KWyv5IVkuzR6r0N6QBLX/bGrLOeDE18N4mVRXNFmn2iIPtMdrFruQAc/xteRHYXhLLY4Sb4gZ7ytKxqzgOewtjsU8ygcmETMKpZsGUWNbAZ1vSXq28lno+28Vhy82UvpH8ow1S7oKS0wZyaCP4rMtGKSyinfCunAAloLXESb0gApW0Jxkc1ApoNbNkkmrTaevSlBwbZsKWFFdby/si3d3enBiopK+21axPPaFWXm/BrmadpK0tD3YT76nik5VYNw6z48v4Mr78UcvvwuzJJZHYnR+OnQLWbMJnJA1yxFpsYYcxWpxIqOSoO2Y9evjanx6EIW4zVhCB4dxIfia80XgOEjhHaMAHCLWaQhukAR/WFFe0DG4EdpVlYCwn3hRA2J0Xh9O3pmNvfixG0zZjUCEHNJJDPNZI6maMyUNBEB4lGMtrK2/FjrxEk+gxkMXj50RhrIigSIAdIBwO0pAOEnwHE/zQH+eF4QQfDEauxy52usM8/ijbYY5PkB0jEMp4SwtSsjcqlzucHcdOyQLJSshS/KtEyaVuIE1beT+UHa1OTL8JhHsJlKacbQIhUdN1BNVueaRzowi4kvPhfeF2qvajEINevqojUZWixsQwwmg4auKCURbujS0Rfmatk2ID29HB7U2td3Ys8q5UhvugLMwH7dJ0lPqBwhsIyZoSVJxgb2YcYVvTnmGoIbhXsFMpiwpACTukRnbY+0uKMMxOTuEYumbFEqZtWoXApfMRvX4FUr1XIdFrObwXzMJ8yU7Z2WLZnBmYO9kDi6ZOw9q5szHNwZZg60y4czDgKQUCGys7AuFxD+oxQCSkWhNmjWeVq629ChmcgIkERBtbeWBPhIODE2xs7Mz2ktuaONHKeEh/BeNfYdas8roe89SqWth0T3cTM/tP2xxbBaj2VhNNqMCcyW6Ec0eTBKawg98eV9vJsyvP8zRPD8ya6mlK1Lo7sW28Phsew3iBXV0xlzA/xc0NCiVwlAat4mo9XOBCsHWwngAVeFg2axqWzZyM+R7OmOfpiEWT7JEXvpwDwiXYWboed+yOw3NXFuPte2px9NFmvP9gDZ44MxM3b89G9IqZcGd7AhdPxpaQFUg+aTpS1k/FzhI/XLstjTCbgTvG4vH0hYTZW2rw7t0tePPmBrx5SxPevacb798/gDdv68Tz1xAWr63HO3d1Elq78MEDg3iPEPvOHW3mO3lp37q93ezz4Z+H8fnTu/HRo9tw1LzfgW9e3Imvnh3iOapx+NYa/PXJAXz74jD+/s4B/P3Ta/HL53fhy5euQ6LfCg4SbDDFxRmz3Z3hv3gSthWvxB07gvDkGVF45bJMfHRXA77i/p/d34JP7mvGB7fU4WNC+KHzC/HyFdKczcVTF+bihcuL8do1ZXj7xkoCbzleuqQIT56dj1eu2Yp3bqvFh3c34q2rt+B9Xrdia1+9ogUXd+YT8kLQxsFrHeFOJWOrI6UpG4xGPou1UT6ErCAzEyPoUpJXK2FPAzpBnkKZNLuhSoICP3l02/hsSm0lbcNS49U1CiB87k3oE0HUDFAFpnymuwiw/bRznQpt4qtmkQb5WxNhtzNN3lo/tMT4cGAehGY+h/0EaRVF6OF+zTHeaIryxTbaCc1O1YZuRF2EDwbSObCnDevjoFiD/XYOPLeG+vBZ5XvaCiNxSFhXnoAUB6rCfWljaK8KUlARthHlIevNoLfWeGCD+Z4Dd16/kksbIgiimiHjPWqIDOC9i0Elv5PCQwvbLCBv531UmJUcD7JfGiTUx/sToGWDfFESsgmlEd6o5LkVelAStAb5/D9IXr8cWd5rULbZGxUhPqhgmyu53TjMji/jy/jyRy2/C7MDKT40pH40sKE0wL6oCVqBzkRfdNCoDRH+Bgmtfcl+hMdgdMT5ojXWB9Jj7SF0jmZHEzYJVPI+JLPTiKVB536qojXGEX13MiE3N97A1FBWLHbwuzFC2QgB89TSVOzLT8KOzFgMcYQ/QKM9xE5DgDpGaNxB0OxLCufxw9FLI99N49rDTkoe3IGsaGzPT8Co3rND6qQxFggPxftgJNkfY2mB5v0OtnOEkNkVTyPOzkUqA4rrVQaxEsb2FCez84jGIDuT7YWJ2KbKOkYTVoUSoqHStQPZmnaMRCePqwIMlt9iIYkvAa3qvyshpJEdQCU7whaCeIuylDU9R3BtNvF5IajT1KamOhM0Haqki0DT+TYmhqKeaxOvQzqTRqWAnYgKTWhqsCkxwrJfPDs/do61hOC6GHmDw0yoRH8ewZYdW0O8ADkENQTbCm5TFOJl1BMUriAPivFYsbNTjfUydobZ7HzS/Ndha5Q/cvgauHA2Vs2YSiBzx+q5M7Fs2mR4LZgH74VzsHyaJ0F3KiHRFQ4T7eBi5wBXQqlCDn4FWguMWlvbmuIJf1ICmJHqUtiAFawJgvLQ6ncHB2cTcqDQA4UaCGoFmzqWtvkVPPkdfz8e0iAP6yRnAueE4yVy/xlQdRzJerkTZqe42GOmm5NJ5lKsrI77221VqEGeXlcHB8xWZS/CqqkoxmNLoUAyXfICz546leckyNtMNN/Nn+FJgJWMmBU/T4Sbw0SCsxMWTXExerKLJzsiav1stGRvRFfmSlw2GIJnLs/C67eX4sOHq/H+PaV4+2YC26WleP6SNtQl+cCZ7V4x3QV5gctRErAQyeumcPCzFhd1RuOGkVjcuzsBj5+djddvqsaH97bh7dsb8eGDXfjo4X4cfVgw24KXr5UaQTOOPjiID+8bNED7+q0Eyft68OnDI/iI33/08BA+fXwMnxBiFT/712d344undppQhK+e24Evn+jHa9eW4cUrC/HeXfX46xOd+OXj8/HLV/fh7399HF+8eg9ifFaY0r3uHKgoJnnlDFeUbp6Ji5vW4u7t/gTaWFMl7G+P9eDLR7oMzB69owkf3dmEt2+qwqtXleDQlUV4+qIcPHtJPl66OBfv3VSJ168oxcsXFuP5i4rxOtvw4V0E4PsJ/rfX4wPC9VtXV+Lli+tww3AZnw2CG6GqKjrIqBRsCfHm/7+eCT4vBEF5UzVrIok/8508lXyv5Cl5WzWboXAgZfo38ZloFeQmcbCZrN82Y7iQg9yCJBMLq2l7xfoP8lkbksIJB707+bsqEg7TNgxwgN6v8CnamT1FqqJI+yG7pEEwn0slfQlmFVPbT5vZzeON8rdR7tvEtrexrcM85g7pdtNuaCaqm/ZUICs7UM/nVgURduSlW2wJYbUxlm1KVaxwEIoDT8KW0HUoClIlrvW0FT68ZhU5CMEgj9nF+9DOZ15hC21ce9JjuE0w7Y8PrzsIu7ekmTwGySXWRCoJzJIwVkewVSx+FWG5hq+qnFYuDV+2SSV/S2hbpHtdxTZo0FzPdlVG+9OejOvMji/jy/jyxy2/C7Pb8iLRTlDszVCFL3+0RGw0saq1kZuQ7z8XdaHLsZsGem9pIg1hKGrDvdkhBNMABplp/l5CVx8NpiB0OF1AGoFRQt8gXwWIyjaWB0RTYQM06L0Eqy52PAPsUIa43w4a+1Huq0QGFTMo0FRdlJeB220C4Lx4DCYGY5TGeQfBcXdBMjuVeHYK4aZQwyANfS87oB05UeihIR5I22xCGIYUvpBJGCa49rNzGFL1MXlJ2C7F46pT2lOcaNq6PS8WB8oz+J1kcxRyEGXigncWE7aL4gnPqvoVjlF5bbltH48hRQRN73cSzo/XiDdxe4TqrRHrUa+YXXYc0qBUrfZGQmYz74NAWKELivlV7K1AVCUzW3n9iunrI8Q3sdOS3JgUDerVSSezE05TuEOQiS1W3K7UFCQJtr0s3STD1RJwpf/YkBSKdp5TyWclRluSnaH0KAnKdbHspNj5SGKniB1ppt8alIUpU9kbMSsWwH/+TKyXl3GKO9ZMnwyf+XOwae40eM+djrWzZ2K6iyumubhh4dTpBmasCbMWDVkLVAoYlcClWNkTJ9jCxsYRJ54oBQELkJr4Wb7Ke6t1oinCYAFVA6N8r++Ox9DquKaKGFfj4T3xRLg5OpkwA8t+vwVaJZOpcpg1prk5w9nayqJFazUBNlY8xrFQBRPaoAQxW8XA2mDOscpetieeAHvuaye9Wx5/qjtBdsoUi1fWRmEWEzHDcxLmTPEg+FpA1t76BLg7WmM2AXb2JIKuuz3B3wHliauwrz4IJ1esxUNnJeDtW3Pw3j1F+OThcrx7eyHeuJYwe30zHjy7BYl+K2HP+6ZY2/CVs7E1eAXiV09B8eb52F3mhUu7QnD7zhj8+YxMHLp6K169ZgsO31iNtzQFf2sL3r23i+9b8cIV1ThyWwc+Jrgeua0dh66pxkvX1+CD+3vx6SPbCKddfN+Pzx7fgS+e3o1vXz4Z3yqx6/nd+OrZ7fj0z7346qkRvH93Cw5dVYo3b6rA0Qea8MO7B/HzN4/g569exg+fvYzeqnx4OtjD3c4OMye5YIGnE2JO8uRgdSGu7t6Eh/ZH4PWri/DpvU349IF2fPl4P774cx++eLgLf3uqB29cvxUvXl6A5y/Nw7MX5OCNawj3+u78XDx7Tq6Jo9V3H93dgM8f7sTHhPcPbq7C27zuVy+uxo3DBVA527LQjdga5sv/4YUm2bJKSU0xgUbH2Wil8lnpJMCa4gQcdBo5LD6r/QRNxZprAGrUCeT15PPbrWn2NM1e6D2fTe6nkAANzge53wCf1e0cAG+jjdhhQgiiOOimjeAAeJBgOpoXjT0FsRzER2Gf7EpujJHO2mVCqLh/WigH4IJb2a1I7KIdGaPt6ScU7ylNMnkBLdHe3FazQbQTBXG0EYTFkA2oj5XNjTDJq1JkUXiUFBFkdxQCJY+xQi3qCJsdBGJVPJTSynBRCo+dSVtJ+5VqSXKVEoLui5JdJSm2rTDl2OxTlAF9/a7jamZInmnFx0ryUINrAWsz26F4/Zo4hUwlmcG4BhC1vPe1fFUYwzjMji/jy/jyRy2/C7Nn1KSZKa6OhEAaXxpKrqpPLq9FRehawq03dhTGYk9JMroITUpKGC2IMbFaKiGpJKxhGuc+Gm7BrAkP4HvB7A4aVSU9NBOWBb8NmgLkiF9wKwAepsHcRUO6g8a+KykMef4rsWSqIxZNs0f82oVG1mtbQTz2Eii3qxOQt0HwSmPez45nJCcOI/JqsGPYQ+BW8oQ6lRGecxf328XOZRs7l+15cbzOAuwsSiZMKt6WsEpA3bclGadUqYJZPPaVprBz4fEUYpCfgAHur2nEHfK0qNPh9pIlGyVcy/Cr2IPi6kysLdujKX/pXbYQoutjfQmw4ex02KlwWyWeSeFA6gX97AwVu6skM6kN9BHMB/KSjGKB1rHidEg3VjGw2ldFH3TfTbKaOpsklbcMRze31TpEoB0ry4BqwguWt4Z6QUljqtNexw6ngWDcS1jeU5pF+GYnxE6nOjIAmZtWI2PDchQGruV9X4vYVQvhN2ca/BfNxsJJrlg/hwA7aypCls/B5sWz4DV/OuYS+hZNn4oVs2dhkrUNgZFQShA7DpZGZcBK6gTWBFcbA7OW+FjBpCX5S9tZT1Qcqzy10q095pXle6kS2BttWsHqr5B6/L0Vt3F1dISdicW1/GZ5FQwLdgWp1pji6ghXwqaLqRhmR0idyONbtrN4by1eWFX8WjBnJl+djBTX8e+dbG0wf9Z0LJs/z6glOBF8FVsrLdp5vH55cRVi4GxHCHWxI+DbYb6nI06aMwkRa6Zhd10QzmjwxSWdvnjhyny8c3sp3nugDkf/0oF37mrEI2cW4pTGeISfNJ/AbQ17wrMKQqye4YZs3yVIXjMTMSvd+SyuwLnNQbh5RxweOScHj52TRRAswVu31BA2a/HmLfV47cYaHLmjhYDbhLdv6yS09uB1gvIbBN0jt7fjg/t6cZRA+/qN9fyuCe/f14PPHtuGrw/twXevnoxvDu3GZ4/04otHevD9ob345JEhvM7tDssL/GAXfvzgYvz9m8fx49ev4ZfvPsAdF5+JFTNnwMPOFjM8XDHH3QXr5rggz2cKzqhfh5tHg/DCxRn46B7pzvbg62dGzPrNM8P425N9eOfWWrxwWQFeuqIQz56XjTevLcPbN1Tg+Yvy8SSv8QXF0V5dio/vqjMw/OFdDXiHsHvkGoL85VW4ZjCbg7z1BNn1qAzfSKg9if/nSjINJZxpap0DSg7Y6mMCDMS2JcgLy2eQ//u1UQRXwuDxErDSxG7joFHwq2QvxaB2cWDcEOVtwgba+SxrAN8e54NB2qrdHGiO6jmnvWynHZO01naC6AgHvlJgGcuNNLCqUCujbKABO59bQWJHcjAHxQLlEEhFoYWgrLAB49VNl0eZ0EhQVFhR1vrFbCMHvXz+6wjtteFetAkEdR6zVvBN29qXk8hBsx+KgjZwMLqJA1ypM/jz2gNoW0PNbJnKYu8uycROAuswB7SSQ5TWd7fKYmfH0xYHmoG1tMPHaO+Uh6AS3z2Z8SY/QDHF5TyH4pEF+lJHULVD7aPwKRWP2U471hzDQXdMEKoV5hQbMg6z48v4Mr78Ycvvwqymu7Qq67aTBlOJDZLOGubr3tI07C+nMSxO4wg+1SQdNQl8adgFa62pITS6hFfFy2YQ/AiPI9kRaIv1M97S3Zo6y6DxTA1Ea7wPOxMZ5QDTieiYY7k0pMmBGCagKolMHUkFjXnG+tXI9lvD87EDyI01nuGxzFDs5LG3E16VSFZPyG5mpyCvyMllKTi1PAVnVmUZiJYX5NzaIhyozDAwuqc0GafzOuSxkCdkLyF2P9eDNdk4uSKN0Blm1BlGCNXD3GaAMKsY2hG2b0dxPLYRkvtyaPCLEk08rbwuSu7oYbvVAY4UJ5p2yuPTkijvabBRN1AVoT5+30MIlge3ifdLoudSFhAE9/JcEm2vY0dQR9iVh3Z3eTZ2bc01sW39BNW9lXkYLUpFuzwg8qxG+0FZ3CqIIO1cZSs38Tz97FR2bs1iu2Ohmu6Kqetix6PVeKUE2ibcQF71cFSE+Rjh+NLg9cjYtBLJa5cgeuUCZAZ7YcO8mfCaNwO+C2Yih6AbtmIe/JfOxYpZU7BuwWwsnuqOyYS5yU4OsJtwvCiCpciCSfYirCpBzErqBlYWDdgTJ1im+ZUYZmejWFpLIpnxuh6DWsGso70z7GwdDBgfB9Xjq1EqIMg6OdibfSygq9+0/4mw47lUwUvxr1IlkJdWMDvFzRkTuI08r4qTlWdW4QRTPdwxewbhlN8r4UvhCwofcHe0x9J5szBv2hS4EWLteT2TnOwxfzaBfupko16gSmXONidiqos9pvG3RZOdsHnlNOQEzCAUrMDpFavw6Lk5OHJnI56+vg63nV2O8wbS0Z7hhTUzXDHN0RYuBGe1Ree347k97K0QsmwmsrwXImS+I8pD5+Lc9nDctjsJ95+ahGcIfNJpPXxdJUG2Gu/f32qgUwoER+5uwwf39+H9u3rx9i0dBmrfuq0L797dgw8UJ/tApylR+/69nfjw/g58+mgvvn99P34+cgCfPtKNb54axC/vn4evntuLzx4fwxu3NOFvr5yGX/56M34izH7/1SH8+Ld38dYT9yHVzwvTnRwxe4oHZhNmF012gd88F17bIlw56M92puG92yrx7bPDBORd+OG1/fj+xV348ZXd+OD2Zhy6ooxrMa+lAK9dVYI3r68w1b6eOEela0vx4e21+PyBFgJtNd67aQs+uE1JYSV44fItuHYsH3VJG1BDe9KettkkeumZUhysigY08/+7g2CqOPY+2jBJbSmRU5X7VGp2mM+2NKFV5U9eWpV9FgRL9qrXwCwH53z2JX+loih9fE6bYrz5DIVyoE5oTaWNMPGowaiN86YtDKY94v60O4O0YX2pShJTYRcBJZ9LDtZlJ+piNvFZ9+dxIk2SbQehVtXEJMVlYmUJynpWK6IDkL5hKRpoJ/fV5dC+xdDGxpnBs6b8S4PXoiJyE9r0nMf4It9nNW3mJuNYaJembMQmtCp5i9diQi0SlYwbwZU2PklhT7QBhNNa2pJGbU8boKS1Vl5Hc2IgVObbFLGhbZKN0mBaIVAdbJsqIrYrxpb3Vl7enUUE+VwLFEtFQqEabSmx4zA7vowv48sftvwuzEqIe3dRLHbkRkIqBNKUle6hRLx3FqWgRwaMI3JJusgrKA+CNAe72BHsJOxKLLwmbAO2ESoFncM04oqtladXHt9eroot6yYoK1lCiVxtCX4YK4jmeRUmoBjbKGzj+ZXUpXAEJY+pNK48KNuLErCvOAE7syJxSmm8CSEQrAq2Fcem6loqbjCWF41Tt6YTPOOM1NeBymycWqlSu8nYtzXNeGXl2ZR8jryyZ9Zm4UBFCs/BtrF96uha2eamOBUckJdnM3YWxmM/YXe3pgHZIe2vzMJ2tmWH1rIE9KgqGr/fRsjdQaAeJjSrtrq8PKpA1KkpO3YeHTzfIK9jR2UaTHlLfqf7162BA69XlYSkQ6uQg20lKdhTkYuBgiT0sePtSic0pxOws+LM9KK8wZIR0r7y7ApU66MCTPzs6Y1FbF8qVIVoUNq4hbw+dkjqfKQsoelEHUOxf52p3IbnEEhnbVqFgsB1yPZfg3xCbuCKxVg3eyoSvE5CfrgvotYuRcKm1QhZuRghqxbDm5C7efl8LJ422WT0TyR42hAk7Uz1rwkmTvZ4WIHAVp8FnBP4m42NDezsHCyfj4UQWCS7BMET4eTozNXlGKxaIPa459d4VQmjDnYW+S99d3w7wbQjf1ORA8GowgKs+L2dwg0IuDqXs4OdKcow4cQTCK0TMXOqB6Z6urHtEwi6bNeJJxJaHTCX17Vw5jTMJ8w6cH8lnk12dcZsfp7uPsl4fB0mWmGmhytmebhghosD1s72QOL6Gfz/XYbTq71wKteT64PQnH4SApe7Y8UMJ8xztcNMQqy71URMIpQ7C2J5bnmDpWnrOHEC5k9yQNzqOYhbNRl5vjNxcrUPbt8Ziz+fnkLgy8crVxMEryzB67dUEpRrCatN+OCBDnz0cB8+/cswjhJojz4wgI8fGsY7BNp37mzHW7c0Emzr8NFD3Xj/vi589ugAvnt5N759aQ9+eHUfvntxJ/725DB+fO00/Pj6QXx/+CD++vRefP/2JfjHN/fj5++fw0/fvoEfv34PXx89jLHmcszkvZSk2bwpk7BwihvWTHNBfuBUnN+8Hk+dm4T3b63Cl48P4OtntuHbV0/FNy/sxbfP7cJHd3fi8PU1hNkSvHxVMd69rRqv8XqePCsTj52Zwfdb8Ml9Lfj8wTb89WEC7Z01+OiuKrx9UzFBdwtu21WMtswg1PI56qC9kCye5PoEif20BZ0ErxHFvRNYh3PjzPPZydWUouWqQbgKq2hQKI1VVSDU8zTIfZToKWWC7XnxtCt8PjXzwrVL4MkBewsH25reH85SUQMCHu1kD22m7NYoB75DfJUKi+S2RmSfeF4Brma7pCdbG7WR9sXXJJEJZjt4vE7ao84Ef0LoBrQraYw2SHKAzYn+SPdZjoQ1Cwm2wWb6v2LzRrTG+qKeg9WqcG80xAWYmGAVaVF1w9bUWEL+ZjQkhGCoJB1D+clojiJwE2IFzorzV7xtIwfTgv66cH+0x4WgIcYywNWsWQXhtowDWnmypWTQxUF7u2xsbpIJNeij/W3gNZSzD6jjNioNrOpg1TyP4ns1sBiH2fFlfBlf/qjl92E2PRT7iqJwsCIeewujMJoXjkEBo4w5DWU1IacqfCNqIrxN1q3AtC0+AEMExh3FaWbaroMj+mGCkjybQzTavckCWRpUdhxSNtiWHcXvJLMVZiRqhrNCsKs4GnuL44zm4ijBuZ+dyjZ2IsPsEMbYpm3ZYSb5aqQw1mT/nlKSwPbFYSgj1MDstsJEjOQnsgOL47kisYMQqwQMQe4IQXKAx9H03a6SeEuIhDqZdEup2X5ex57ieIyaTklGO9pkOQ/xt6E8Qi07mLbEAIyy3fsJl/u2SG83DqdV5+AUAuluxdKWJrDjDGTnFoK9lTnYX5OLMcJ0TbSmN6NNAok0IAfZGapgxOlNBbiovxrDBF9lGmsV9ErmZ295Jo+XZmBW0mGS/ZJnVSoIbSnRqAkPZufC+1Scgm3cbqQ0BYO8/gF2wKNsi7xS0pBUuILCEcZKuE1hGgFdHp1QSAFC55H3+ey2YlzcV4WdWzKgymO17Nwq1DnG+KNSSgjRgQhYtgBec6aiKJKdE/8uxfy9IMQbGd5rkLrpJGQFrEWK9wqcNHs6JimGVR5Na1sCocWjKo1ZeWgVpzpxojVsCa9WVjaYSIiTh1afj+vJmvAA7qsiC7a2NnAWzNo7md8sMCvv62/iXXkMgbP2028WkLUUSnCUZ5Ygq6QvfZYnV6V5He3t+PlEHtcONoRQqwknEGxtMW2ylBEmmvAEu2NgqfjZ9YT5FfNmYpqrE2wJsqo2NnWSK+ZMnwwn7u/mYMPz2GGamyMWTHXF0umTELR4GmqiVvD/2psDmgWIX+2OTbMcscrDHosIsUvdnTCHoDyFIO5KeFV4gSOBVud0kHoCV312I9B6zfFA/JoZSFvnyf/XFbh2KAwPHUzF85cU4vB1ijktxGs3bMVr12/F6zcqqawNHz+s2NhBgmwP3r+3B588MoIPCbaHb6jDoau24pUbqgi19Xj/7g588fgQvn5uO755bge+fX4Xvn95H758YhTfvXQyQfZ0fP/Wefj68Dn44tA5+OnzewixT+Onb17HD1+/gx++fA93XXQAa2ZMxUwC/oKp7lg6wxPLp7ohbKU7B34r8JeDSXjn1hp89rDCDMYIzvvxt+f24FsC7V//PEiAbTJqBUdurMCHd9Tg8JVFeOJgGh49Iw2vXlWKD++sx2f3N+Pz+xtxlDD74e1V+PiuGrx9TQ1uG8lDU6IXajmo7qDN0aBRhUN6Odjtp/3R86YE0YHsOD6zKUZiT3HmmuqXl1ZVsFQgQdPyinvv4HOjwZ0GswPmeY2hDYmhTZNKiaS+FIIg2yEYFBhLNpD2gTZQsbWKsxcAD2rqnccVuLZx4K542eGMcJxcxoFwCm1fjjRdaTezCNbcToCtQWY7wbKb7Wvn8VoJg0Zvm4DcQiisig9C8JJZyPRbwcGvnABB6ONv8roqVrYuyhfSks3wPQlRJy1B2JqlCFm9GMneq9DI6+rgQLg1ngNqJcDRTrUR3uWxbtNAQKoO8WE8p9pMW5WpEuaKJ45AZYSvAX6FUHRosJBGW1+axfvKATDboUF6Q4KqhanYQoBJfq2N8aEt8TFQOw6z48v4Mr78UcvvwuzegmicTLDcXRCJnfnKzA2hUQ/DzjwaMMJOS6QX6sJWGejbVZKIocxQGkE/GvLNGCkgTBGSFFLQQaM8lh/D48Riey6PRYAb44j+9C1Z2FecjBFNX/EYe0uTcWp5Ok4lFO7fmoR9ZQk4pSyNHUgsdhMcFZ87kBFipvi3Eb52FBBy+fkAYfbk4kTslPeXHZc6nZ0lqWyT4DIVe4uSsI2d2M6CRLYjHtsLEtCjcAmed7u8JNxnO7fZX5VD8CUYczvBtbKL6yN92ImEYS/bMUZIlJRNR0KA8RhLSkxeZyktKGTh1K0pPFeyiTGTt0Ud3c6t2aa07w5em8IOFO+2nduM8B7u5PHkKRYojxJkFY6gJLMOqT+w0xuRJ1nTngaAeX/Z7vbUKEi9oJf3RB1ST04Cuo3EVwK2cQCxuzwLO0rS0as4OAKx9DXbuX+dkswSlZHN+5OngQbhnOc9tTILB2tzDVSf2VGCM9vKTCazpiclSVQYtAG5/iehjh1ddsB6rJ/jiQ2zPZET7IX6tCjU8PjlUT4myaY0xAtFmzcg3Xs51s+dCVdbOxPvOdvDE57OkyCFA4sigcIETjCxsra29kbBQElfiqEV4NoTaC2hBifA3t4RtvzN1sYGTg5OBE3n/wgzEMAeVyIwoQx8r0phxz2zx2FW4QdK9vJwsjcxrxa1A0tYg70tj00ItUiKCVwnwnOSs9GNncDjSIpLXmM3AupMTzesXDgLS2ZOwVQpJxCqXR1tCLkumDVtEiHUCq4OVvB0ssYsNzvMmySv7CSkeS9ARfRyZPnNRvQqT4Qs8UTosunwmumBkwi7yya7YpaLEzwEswRZAbeTvMwCW766sI1OXBV6MNvRFuGrZiCFMNuWNBcXtvnggTMy8Or11Xj5yjI8d1EeXrp6K17m+srVVQTaBnz4UA+OPtyHjx8ZwAf39eG9ey2e2jePwewTF+TiVW7/4d3t+PKxQfz1sQF88qCSsrYRYvcRbHcb6Pz+8Jn45eOr8d37l+PxK9vx3uNn4+cvH8XP3x3GD9++jR+/+RDvP/swUnw2YDqhfj5hdjkHPsune2LTQk80JS/G3fvj8eZN1fjsLwPmuD8cPoBvDu0lQO/GF3/ux7u3N+Ltm6vwzg2VeP/mCrx7QwVeuCDPeGdfv5ZtvKsBn9wrBYQ6HLl2C969qRwf3FaNd65rxO3D+Rx4cnAd54MOwlUnwVM6zNJ6tsAl7QdXFQqRmH9rospUhxpPq57xhqgADtb53PB/WnkBgrwRHmNQXlmuvUrKJOipCIG8n0kbFqEoYLXx/kpHtZ2D4j4OglVWu5EAqlkWQXFrQhgaCcgdPFcbn23JXrXG+pucAYVgKcG2lQAuSS+FDPSy7ZLdMoUZ2O66CG8z7a+woxoVI+AzJjk/JVhJh7qDz7HKgasgiryxgs6mOG4bHYSgBXMwiwM1T1srTHe0xgIOnmLWLEZFTBD3saiuKDRMoU8tBM8WtZttbY0LYdt1fg7gaTsUjqCZnn7aXq3S27WoPmzGvooMDvRjLbG4tG+aldN9bOd9aE1UmAHBmvdcBSXGYXZ8GV/Glz9q+V2YPVgZi/PrU7G/NMFUqdlP+NxBgNtOWDy1MAm7OBLvifeloQ8jwGkKLgoDqYEcnQdiW340RjUNR2MrdYExGjdB4nYa8L2FhD0a4p6UMOMZ3U8QPbksFXtoBAcIgFWR3ujJjsBYSRw7GgJ0fiT21aZjRxHhjsfdQahTtu9+AuQYDeSe3AicWZmJA+WZ5jy7ihLY9nScW51N4IzHTrZjTy7BMz0K3TSqx2OBRwmxCqXYV5hGGI3HyQTpXXzdxu935scaD7IBZ4KuPK4CT3mlFVYwQjjX2qeiEoR8tWs7IVYqCtsLkoyQuRQYVNlL04ZjxepIo4wkjuqsC/bHuJ3i3lTWtz1V8kFBJu6sl0C7nec7tSaHx02AasqPytOcS8guykQfX6VsMJBPcK7IwiDbN0bYV9JbL+91H4G3NyPGTBtWRwegj0DckxPPjiUcJX5ePE8EzxlPQCbYlyQRrAXf4WwX25ObwM42kO0JQz2huT5OU5PB2Bq+kVC7CtEnzUd+yCYUSas2NQTbtqSazlBi6pney5C1aQlKwjbCa+FseNjbYDbBMPik5VgweYoJObAyYQOKhVUYgWJnrbgSGAmWSv5yELwS4I7DqI2NLQFTMl6qFGYNJ/7+a/iA5RgCWYs31hJ6YECZwKzvrCZMgIujo4ll9XRyNGArmNWqAg7WBFmFKCiBTMUfXB3sMFWFEAiUVtpf4Q/cbvbUSdiwYgkWz/Aw1cM8nRxge+KJJqFsqqsTpgiArU/ke3ssnEK4dbbBoknWiFw9BalesxDF1/BVUxFFEI1ezc9r5sNr7hSsJewtkRKCizOm2jtgEuHejau9rZK/JsKVgKu2KHbWld+7E7pXTnVBwrqpqAyfxudmGe48OQnPX7EVj5+Tg4dOT8VDp6Xj6QsLcOjKChPf+tGjA/j0sRF89viIUTR4984+vH93L+G3HI+cmYkHDqTgxUuK8O5tzfjwvi58dG8HYbMP376wG18/uxt/fWY3fnz9AP7x8VX4+yc34O9Hr8a1/em4bmcpvnrjKvzju2fw43dvEmg/xPefvo2hqjJMtrfmfXLDitnTsERQO3MSkr2m4KzGjXjxiiITzvC98faehq8P7eN5duGvjw7j/bua8fo1xXj/1kocvbUab11bgecvKMAz5+XgresrceTGaravCUfvqDcwe/iKQhy+vBCvX1qB67vSOfhcg8rITWgQkBLEJBtVy7WNz6Km0pWk1BC7GeWhljKsjRx8KzNfSiZ61jQQVjJUJ7/rpK3oJJD1JIUZGcA+A5iCvBBUcKCXuW4pMjYuRQ2PXxPli3IO5poId9KxVaiCErYUf67kstoogh3hUDkBGiw28bs2AmdTZAC6CcNttIcN0YGoI1DXxPibkAejPy1lFK6asle4gFRSNMMj1ZL2OH6XSNglgKqaWROPIYk+nbuex5fEX3GoH/8Hl2PF5MlYx7/FCg6clro7InrNAlRyOw12BcKdhNo+DtCNYgPtcj1BWJKBUk+p5LUqREolezUjpth/tWE0N5e2Jd7E0ur6BdwDgl1+p0RWyRd28HiNtEl1XDUbNA6z48v4Mr78UcvvwuxpW2JxRkUqTilLhuqJDxNe5VkdSdmMXTlhOL00HvtLCIEliQYC90tZIC8Cu0rjCKkJ2Fuciu0ErOHMOOzMS8JOeSUJlkru2kmg66ex7uGxpDCwozQFTTSiUyY7YP50N5REe2O0lNtkE4SLBbGRxhsqrcZ9BDB5RU/Ji8XJPNYeHY9wuC03xnh3DxBkFVZwelkx25SB0RQegx3BIMF6ND2UbSGg5kgGJ4xQF4HzqkoJyPEE2kRCawqPQ/BMj4CSQFQMYYyQN8KOTh2ZQhHkJVXylhK/BrXmaRVAhrEzVBKa1BRiMErg7+D5pM/YROjX9p2KrxPgclt1RJrG3FGcjO1lKQZ0lSUsEXbF6Q0RLPX7YDYhNYMDg/QY7ConvOYlQ5Jao6UZBNok4zGRtJCmKDvY8cljMlKSzm2ief4I7KjKwq7qPKg6WUMcO1PeZ7VfiRwtvC9NCp3geY1+LTvjbnb4bWmWcruS9VHpXE0TlhNSBdyV0T5oYScl3VxN4wr4ldk9yr/NUD7/3gTcBJ81mONmB/9lc1AZG4HVM2eZhDBBpJHaUhiBCSU4FiYguCSY2tnYW37jZ31vJ8+pNWFWsax2tnAmzFrCDOSVlRKCxctrJL7MsSz7GcgloCqUwMPFBZPdnOHh6GCA1ezH348fw3hg5aUlVLs7O8OdYGkrwNb+PL48pIvnTMf6lYswf6obFkz3xCSCuoutFaa42BJgHQi3dpjh5sjVHnMm2WKRpy3WT7dDysYZyPKfi8Q1M5C4dhYSVs9BzKrZiFw1F/6LZmDDvBlYNmUSFru7Yi7PO8WRME3odmdbPe0Jtrxmra5cBeOubNdMnitk2XSUBs/i//sKXDcciRcu24pnLirEnTvDcXVPMB4/L8uoGbxLMP3w4R68e3c73ru3E+/e04s3b+3CWze34ulzC3DjcBju2h2LQ5eV4MO7W3GUMPs5QfaHV/bh728exFfP7cIHD/Tj65dOwc8fXYVfPrkJ//jgGjx5YQsOdqXi0K3D+PnDG/HTN6/gx+8/wN+/+QB3XXQQCz2dMN3FEUsI/6tmemL1/CnwX+KO3tyleOC0RHzyUDv+RlD+7vWz8N3hM/Dj4YP47vmdePf2BhMvq1CDt26owqtXluGF83Ms+rK31eHVy4rx6uVFhNhSvHlVCV69OAvv31iONy6pwEX1qki13mg5KzZUxUZqY4KginqmChhhUklOnSlRhEdV0rKAWQNBTR5aM3ClTekn2JrELT47zYS2Ng7qOgmKKgJj4mX5LKrIiHRZqwmPjRyACphblFfA515JZQJnAXQtB4aVhGaFLkjlRTCrGRPF6Xbw+W9hG9sIekMcoLbxWWzhb03HZ1R0DJ5TqxRIBJjN0oXlb0qsauf+Dbw+VdYyOtYaPBPC6yP8TSiSwgbk4ZViSbW0qDmI7cyK5cDUx1Q3a0xWMRa2h+0ezk2BKoN1KsRAAE1bKY3Y9rRocx8lBShViLroTdgS5oWi4I0c6LJPoN2XAkNVBAcGSdon0FyrbJJCMQS1Rn4wjgOCnKRxmB1fxpfx5Q9bfhdmd+QE4eRCglF6ECoClxHwNuOULYTWrYLXaOwtiMSBsgScWhpLUJUubAjOrEzBgep04/ncRngbJTRKZ3aIRlUguZ0AqZCCnYSevtQw4+UcK0wgLMbSEAdga+h6Gupg7C7LwMnVOdizNdOiwZgVbmB1l+SmcuKxu8ACtHvzEjCmODh2QEoo2ykPMYG7h0ZVpSJHMiMwRIO903hy43EK4VvhC8OEykECpSBQU3t96rw0FUnjO0qAHMmLwSC3V2yqdBx7eQ5pJqoikBIulOxhdCYJc0OE+B6+tqUEEr4Vn6dYOyVaqXBBLI28peyswK+fxzV11XntLewsVE1IoQf9vDYVZZAu5LaSZIwR2Ad5nUra2lWczvexkNzWWEkqRopSMLYlHTsrszCguECFRPD4ykIWhHbLg1ucx9+SUR8VhN1Vedwvm+2LJCxHmbK8Q4Tzvqw4U5yhKsoHzeyo2nkP5IlpFciy41Xn1cfzDvHv00NI12fFFxoJNg5gBvOj+XeLwu4tydjB+7pzSyL21uViqCIbfotnYuO8ySgI24Q2wvHGOTNhT2A87kW1AKvFe3rco6r3RmdWhRWOfWenGFdCsErROtrZw8nO8dg+8q4SSg3AWkD2V5j91VOr8rOehERXwqebvS1UOMHIfh0DYnNOtsvmxIlwJuhqWwGt4FZeWVurCSbxa+3yRZgz1d0kNc32dIOHw0RT7WqGuz0heSI8Ha0x2dEGs1xtMZ8wu3aOCxK9ZiE/ZBEKQhchz28BUtfORiJBNmHNPMSsno/gJbOxYe4MrJg6GcsnexoP7dxJTpjn7oyZroRBZweCrT0BV+V3VejBBe42tpjM+7DMwxWZG6fxf3gBzm/xwRPnFeDZC4tw564oXFjvhQdPS8Er10vNoM2EGLxzTwfevquVr1145+4OvHlTHR45kIJLmr1w61gEHj+Yhvdvb8JnD/fi6ycH8bcnt+Hvb52FH149BV88sx3fvkKY/fhq/PTBtfj5vavx7kP7cVpnOm7YW4zPnzkdv3z5FH7+/j38/duj+OjVJxG8Yj7baYsFk12xZs5krJw3Batnu6AodBquHQrCu3fW4IuntuHrl0+1AO0bZ+P7V/bj6L3tOHxdOd5i+w5dWmJK2x6+ugxv3lCJw1dtxdNnZOOpgxl4+qxMvHppLo5cU2i0Zg9fUo2zKiMJdWvNFL/+V9v4v2oqf8WotG2wiYlVFSqBn2LJVYZaIQM9XCXHNchncyg/3kCnEp56+WwKXFWERMUVVCFPoQK9GujyGdjO50LFFlQZS9Po3RrICmZpa3p5bMkM6hlvJHAaGTB+lt1QeFB3Fo+t4/HYXXwmjbQhbYwk+lrklSUM9mTGGWiWN1nVEpsIlbKNitFVjG9DXLCp2FUTE0Bg9jZArTje2ghfVEduIpBaAFrHr48VvHIgy311bIUjqIBEI+Fe73XM48mgKh6jUsCWkrRKiuMgOcNit9poV5t5rfIQqxywcgiU7KZwiG6FdfC+10T48XzBbKMFxJVgpvbKzo3D7Pgyvowvf9TyuzDbk+KF1gjCZcgq1AbMx3DaJpy8hQYqaSOyveegLmIVTi+Px9lViRhJ9cP2jECcTrCV17M/bfN/TL+PsZPYmcvvCcNdcV4mznV3XjSG0kL5ewxOLiYM54YTQAPQGS+Fg3jsIcDtIrjtr87GWK6SCzT9tRl7S/h9WSb2VOZih0rhFhHuCH2q2LWfkLo9lyDJc0t9oZPHU4JFF1cpMWzPCydUB2EwW3qTEkRXjFs0jbGyjqWSICAONRV3RqTgwPMKErcRaPeWpWJnabIB1DZlKhOQTfxwaRKGCNCKl2uVtFhyEEE2Gn2EWpW6VJGFGpWw5HdK1BglIKsoQ1eKRR5HHaQ6th1FyaaTHOS5VF1NMloqcStd2H62sV8gzM5SyXUCzJ2VOdhdmW3OraprSgCpivY3HpROJc3lKHEjlp1hLPZUF2CkMIsdr2S44nkNibwuXVu08cg2qINK5d8mW22MQhM7s3p2jOosqyMtnZri/5TF3JbMDovAKz3bXrZFnq3GOD9u64c2DlIGt6aiMNwXAQumoybOF335ETxuOAIXzoWjlTyz8opKpUBJWIJZQeUxmCVkWk2ceMwTq/jaE01imLU114nHwgXsHSH1geMgquNZoFieVgscWyS5dLw/QUURPAiFLnYT4WRtqeAlj+tx8NX28r7aEJid7GxM5S8nwqLOoe0cCWQqabt0/hxTOUxyWwume2AmIdaTx5zuZovpBNhpjlaY6WxLGLXD6mkOiDhpGvI3L0RRyHyuC1EQuBjZmxYSaOchZd0CxK1eiOBFc+A1dxbWzJqBk2ZNx8rpnlg2wwNL5P31dMGCSc6YzbbPIsxOd7DDTBcnTLYn3Do4Ypq1DSIXu6EldjbOI5AqrODZCwpw+45IXNLqg9t2RhNw8/HStZX44KEefERI/UiVwR6UlmwfXr12K+4m+F5Ut854Z588OwdHrq/Fe7e14POHe/Dlo0P48bVTCJj78M0rJ+OHt87AP768Hj++ewX+8flN+Nuz5+Ds7iyc3hKH124bJODeSpB9HT99+z5+/vIIWjITMNmWMOvuglWzPLBslidWz5mEhA0eOFi3nucvwVfPjeHbl3js18/ED0fOw/eHDuCzP/fhrRtr8dJlZXjlijK8eGkRXlJS27VleOyMLDxyciqeOC0VjxPWX740G+/dVIKjt1Th9curcRpt09bNJxmPoap1yTNaEyOwCjDPWmMCoY8wW8v/1R6CqiC2S95L/m938bNmIFQtrI32QN5aSVo1cSDbyueygd9VE5IbCLl6Fvv4bMu2SaFFg1qFAihESFJZAzmpJlSnlftLGaAlVsoEYWhWQhS/7+Tz301bIA+r1ANauY1KULfz/I0CSX4vXekODj67NKNEWzDCwbu2MQooSRx4JrNNpvqfqggSpuODjEdUxVnqYmgH4mnfBOqpBGRuP6hrE5DzuC28pnYCqqp+tXN7xc1KLUE2RHHCigGWDVD5W3lXO1TumgNfzRbJ6SAN3K5UwjqvSeDbpTAJ2lsNIPrZVg0S5AlXu5Q8pxkuleHupL0ch9nxZXwZX/6o5XdhNmTpZGRvWIA9BaGoXD8HvTGrMJa+EeHzPTDP6QSUbpqDc2oScV5dCk4ticK+vDDsziLoJdGQJgdgOI9GkIZuO43+vuI47CTU9MV5Yyw/HCeXWgoXDCipLJGdS7wf+tgptMb40oCyQ+HIvyHS1yRLSN5GINfGDmowPxG7qwsxtDWboJRsMvj3V+VhT1GSicdV9TDpOA5nSwpHWb0bCav+BGCLNJhif8+szjee2J7McDMNJgOucygZQ7XVdxYlYJRtk6emi5CnRLCTS+Uhlbc0Gp38bogdxWimMpXlNZHweQC3ZWeS4MfrjjYgq5hVGfEmZfTG+vJc6pjYrkR2cjGEanYMCnNQCV3JBI0aD7WkuGINLDawc+nMUmfDdvJ1tETeVHl/4k3IQTc7mVZBMb+rYcfUwY5EnhZ1aP3sVEeVhFeWaAC13XQmbG9ROs/L47AzVbtNsgvhvJ0Di2ECcLs8RTy34uM6eI76mFB2jpqujDBw3ZGaYGLxpC/ZW5aGJh5DkmKDPE8nr0clLU+a6owM/1Vo49+7KckbPTnBSFi7FO4EQ4UZWJ1g8Xoa2S0CowHPYwCq1Ube2WMVwOSVdbR3gL0gU7qutnY8hsWLe3w/C8xaJLyOf29AlUCqpC53J1tIMktxsxOOQ6wJM9C+8u6eYIoTqCStVAOU9KXwBKsTTyRYT8SMKR6YNcUTU92cMM3VAUsIZlOdJmKagxUhzQXzJtthlvNEzHe3wwKCbfDiScj1n4PKyMUoj1iAivBFKAxciEK/pcjyno+0jfMJs/MQumQ2fObPxMa5M03C3Lp507Bm7jQsnzYJSya7YLG7Ixa6OmKOgz1m2NuYJLFJttbwdHSAG69rqQufweBZOKPeGw+dlozD15bj3pMTcUGDDy7p8MetO6Lw2HmZeO3Ganz8UBfeu7sJb95Ug8M3VOKlq8pw/75EXNsZgFu3W8D39Wu43b09+JzQ+9fHh/D9S7vx85unElTPwo9vn4W/f3wlfvnoalqMW/DN8+fgypEC7K+PxYPn1eBvh/j7188SZt/CP75/DzftG8Q8wvgcN2csnTUZS2d68Po8ELzcnf+HS/HkRXn44ult+O7w6SbM4Lu3zsF3h07HV0/vwHt3tuDVq7eYRLCXLy/CCxflEGrz8cCeFDx2ejaevyCPIFuIN68txGd3VuDjW+vw9rVN2FsQgvKQ9SbmVAOwuugAk0EvD2WDAC/K1zLdz/9lzXR0cVAmVRZJDEqfuY5gWRy8ngMzf/5PK3yAkEgIrOOzUcNn2FKAIYAD2FSc1VKOtngpifibWRcVIFGCVhOfkQZCnYFWAuMAob4rOYrAS8iM8kNu4DpU81ia4lecqoCzyGcJatm2Jj7DOoag1uhA8/lW7L00cUc5wJWHVm2XZJ/CEKRWoOQyM7hMkoeY+3Hw2iTbSZhVApkSweqiaUcFu4JLPuOyD508Vy+BeCAjjmAuZQPaLl6zCth0EUyVhNZJG6kKaFKTGc1VsqqSUWkXOKjt5L4qTtPGgYL0xw2w0m6P5sRgR0Eyunl/O3h924tTzCBd/YBs6TjMji/jy/jyRy2/C7P+0zyRt24BdhVuJqCuQa3/EhSum4XVk+wQNHMS+pL8sLcoAnvyQnGgIAJnFCnDP9QAm7RkO+IJMqp4FbkR/QTWffkKASBUpfrTIKvkbTB6eYzWqPXoiqchjfanoSTQCshkiJXARCNfzw5InVPp5rUG4hoTQlG82Qtpm1aYKXzppW7PjTMlcLu4T7cSOtIJyQo3SA9Ed4pF9qYxZhM7MJ6b8CUFhh4CogC5h+A2lB2HdnYOiokbyU8yyVryysrbqoo9kvTqSQthZxCNYb5XctsuQuGoOhpe11COYuwIudmKg40ysWSmzGRKKPfXNW/mftEYK4wlfOTiQF0OxginiglWYQb9tl0gS3A1cXy8H5q6VA12ZRoryUKhDNK9VbnJHnZcnQmE1rwUdOdnoJmdZmtWPFp5rg62d5RA3hyj2Dp5fdi5SRonItCUmpTnqomDhy7ef+nnNifwGtnxqONsUwYz2yx5MKNbmxZtqo01JYWyIw8xfxvJdrUmRqAs3BdxKxfAe+5kpPqchAqeK8d7JTK8VqKenWlZ+Emoij4JgxzgxK+YD3eCmBUh8nhildVvYPa363HZLhtrGyO35WLvCBcnJzg5OJqYWYUF/PM+8rAeB9njq8UDbE8Y9XBxhOOEE+AqGS6e/7fbaRu1ydXOAQ42NgRZK3NOeWatuDrb2WCGp6upaDXJ3hrzprhi4TRXTCXIznG2wfLpTljgYYO5k2yxfLIjItfMREXMMvTkbuA9X4LK8IWE2QUoCVmAfP8FKAxajNyARUjdOA+xa+ZwwDgL/gumw3fhTHgvnA7vRTPgNX8q1s5yx9rpbljh7owFhNdZDlxdnDGdcDhVermE+6k2ExC02APD+Sfhjh0xeOGyMjx8RibOqvfC7rLVuLDFB48cTMPzFxfh9eur8NbNtVwJs9dW4C8H03HLUASuIvTevTsez5yfh6N3teL9W5v42oQfX9uLn97Yj1/ePYh/fHQu/k6g/fvRy/DDkXPw0/tX4q9Pn4VrRovQlReIU5pjcPjOfvz9k7vw89cv4ZcfaUPuuRob5k3HLFcnzJ08CYunu2P1XE9snO9GoJuBG7eF44MHOyzxsm+fR2A+Hz8ePhPfPLMbH9/fjXdvq8dHdxFSb6nEoUsL8PS5OXjk5Aw8d24RXrmkCG9eXYSP7yjHJ1yPXFWOQ+eVYx/tVAMHk1LeqCWstfD/WF7UZkKq4t3lKW2KCSC0ceBH4NPzLm+k1mY+c/Lgbtm8nn+vjSgNWYutEV7IVSGCWD8DyMrKV0EWDSIFgzXhXtga5mXO1ZgUha18HrIDVLjAF9UclFdF+aMiKgh1seEm1EEx57JhlRxgb4nYxO18jBe1kW1q5TEEvIpble3rTJGutmVWRoN7hScIfFWoQSFJ0r9tShJM8/nms9lCUG2K18wJbS/bp2tslkc4LYbbKaY30MT3Sju6TcAduQk9HJD2m+c+jNDNwXGGPLl89nkuVW8coW3pS4sy5W6l5NApG8B7KRvREiMd3XACsVQg/M2AoIMA3xLtYwbIVQphYFv6cqRHHkVY1qzbuM7s+DK+jC9/3PK7MBu3ZBqCZ7uj0HcJGkJWospvITJOmoFS30VGdeCc2kzsK4rESGoAdqYHYUeyP4bTCIQp7DyiN6Elch2aQ9eg3HcpGiM24LTiZIwRZlvivLn6mFKQfUmEzTg/ozKguFfFX2nKWtJS3RmSnAlHPY2nsvIrInzYqQQingCwed5krJ/liYTVs9lZBWAsLxajmYrvZSdA468QAiUlSU5sW57iYYNRHbYWtaHraHw3oTtLGrLhBlhHc2KxqziVIKr4U03tKVEjiGDLthJmpd/Yx2O1E/w0pSYv8Y68BOw5JrGl0IEBHm8kJ8IUfDBlf7MsHhV5QCXVtY2guq0gxiTH7atMxenN+dhWloyBPFUeSsS2wiSzXT8Bu4PnkydVMC8vjEIhBgoT0MLvevMI3ezslJii6clOdkJNBFvdJ2VMt6cE875JO5KdOeFSRRKUkNbKY5X7q6KPP6852HhhBNjS4GxhJ69pV5X4lEC6phE1BavrHCslLLPzrFenz3b18P6qs1QyioopbA3bhBJ26mWK0WP7RoqTMMz7Uh66Gpm+c9hWb2zngCeDA49J9pLfsiRfKYxA0Kj41X8GU4u3VbJZUjfQdvbWdnAhwCkZzNnBiaBpZbypv42VFRT/6pW1AK6AVKEDnoRZN4Ksu6NAWFXJLNv/ScDK89jyOzdHJ+OVVbUvJX8p1lZqApO4n5vA0cSv2hmQnelqi5ku1lgz1w0rpzpg+RRbrJzmiOh1s1EVswpDhb7YWeqPmoglqAhbhHKC7NawxdgSupggswL5gYuQ6T0fKRvmI/6kBQhbMZcwOx0+C6Zi85LpCJg/GT587jbOdMOaKS5YRoBdqNXDDfOlfMBVMbSeNtYEamuURizA+a1BePKCYjxxXh5u2R6DM2o34pI2f9y5Iw53EVafvagQb9xQg/fuaMZLV2zBHdtjcUVbAC5vtRReeOZCwuw9Lfjo7hZ8em8TfnhpO35861T8/QPC69un4buX9uDnDy/FD++cz++uwDeHLsAt++r4d9+Athw/3HZ6CT594Qz89OlD+OXbw/jq9UeQ7rsK0x3tMdPdFfOnSNmAMLvAExGrPLC7/CS8dO1WfPfaafjp3Yvw4zsX4Ic3zsYPrxyAJLo+uIttUXvuajAxs8+cl49nz83HywTzVy8uMJJcn99Xic/vqsBHt9fisVPzaHfWY0vIGlQSPgW0TQQzhfbUEbZUMEGhPU0EVn2WF1QA2WTCAVSshKsGdjF+xqtZS9tUEb6eALqBMOpv4kSbomm3Yr2xpzTJxO+ryEp5+AZCrhQTlIgVgHKCbBXXeh5LA/AaPqPlEYpp9ef/wEZkblqK1DWLkOO3lmC70XhNu2hbVJClhfsryayXg0rZokEOqKXfatrGc0n+S3GqSjRTYmkzYVZtl/2TgoHAWCoImrnRoLaRcNueQhtK+ylgVvxwg66X7aonbMu26D7IK2wG9UpKI8hqgNvOcw3RLmqQ35GosDG+pz1WLLAG/7Ivsq9ttB2qkqaksTYeRzNpCreo5H1USd3mxGh0JcWZcrp1/DwOs+PL+DK+/FHL78LsJk93rJ/ijNhl05Cygh3tDDdUBS/F6VsicXBLPM6uTcee/EiMpgZiJNkPIwne6I3fhL6EjWgKnovmzcs4Wt/AfU5CEw3dXgLdMLftTbGEIXTI66ka50rWUtxmrC8aI70sHlR5MmlMhzWyz0igQQ5HBTuE6qhgJK2eh5zANYhbuxRpaxaamDeVsVXBhAGCqClbm0noIth1pAVhMEeexs00+n7G86vY2z7JctHo78ghxKYQQnOjsUtar+xAJNMjvchBKTfkRePkLdK6jURfhkBWHpMwdmip2FeewU45w2TwD6gIQ1GsEUIfyFZW8maTTKLpwR0lqSaBTKVsewj97YR9Aau8vApHMIUNkpSQEsEORR4Ygja3V9KIZUqPHTFhs1qlM3PkQWGHkio9S0vihWLVdE1Ksju5NBH7+LcZ4HHa4oLYUWoqMxqdBN52dmod7BgVR9wur0684JedFzsfeYAVM6jKYaNFBNhUle0MN1nRLfytJjaQ9zKcA4MMgnOYqfJTw45YMXOKF24nILezcxvKJ8Dzvknvsy/VB3uKYzCSHYzCgDXwcLAz2rKa4terKZRAoPwtyB4HUXlnFTtrw9V6gg0cCUWqEOZgK7UDxb1aIPY/4m7/E8z+iSB8goFZF1trk/w1iTCrograX+c1Mbo8j721DTxcnC3argRaB+uJBFkrTHF1gKvkuvje08Eas93sMdfDDjOcJmKemx285rvhpKnW8J1nj7g1U1GfvBaD+d7YUeaPgZwNBJTV/Pus5995A0FiFeGIcEvA3RK2FNm+C5DutRBxJ81H1KqFBLz5iFw5B5GE2YhF0xA63wObF0xGIFev6ZOwbroHVs+YgkUE2fmE2mkOtpjOa5pifSL8l7pzkLMW1w7H4olz8nD7rlic1+SFy7uCcNNgJK7vC8HT5+fhpcu34NWrK/DU2bl4+LQMfh+Gq7oCcQe3f+7iQnx8bxu+eLAdX/6lC98dGsMPbx/Ezx9djB/eOh3fvrQLPx+9DL98fA1++ega/PzGVbj/nG4C63KUx67DBSOZeOamLnzzzo34+avn8OPRJzGwNckktM32cMdctnvFnClGd9d7oRuKImbjjpMT8Nnj2wizlxCSL8D3b56Pn946G98+txOfPNBFuG7D0dsb8M5NlXj92kq8cW053iLYvnVdGYG7Dl//uR7fPtzAbepxz5482hR5w30IowQ7PutV/P+sifI2/6cKHVCCk0T8qwh+lVEWWapaQlYlB7dNtD9tHIhXh63HeV0luGS4ioO9IDRErDfPTJOBRj/+fWnvivhc85lXnH2HYlcj9Dxz4MtnXtXHqo8lWxlpraRQAq8vyjZvImhvxJbNG1AR6ks7FsQBYQBtm6bgVbSBdoHPcx8HiirQoPK5kraS/nMTn9MhlcsuTjEw2qTy4rQfAkuFOTUaGS7CYxivnbZQCVvttBFSIlGcu+J/ZQuM5B7bKCkwE0bE31XRK3ntYpQErUUvB99K0lIymNqwKy+J26httBEKyeC19iiGVwPgOMHwZtoI2SvlM4SZkIN62nnF+VfxfUnEJlTyGrfyereGeKM0yGscZseX8WV8+cOW34XZnHWLURi4AvsIJDuyA1C8aipGM3xxaokSuDajg9A6SsO4LzcMY6m+/M2Ln72xO8cPe7N8sD1lE3ZlbSbwxuAUQt5egk5/7Eb0JmxCd5I3gSsEZzZU4NStNNTZIUbOayCFhjpuE/oJvVJDUFEFSXEpUUPeCXksGhM4+mcH0J4Wg2aFJ9Cw9rAT2SbQiw9BHzumAf4+kKPKV5HozI3A/rpCjBRI+ioIfQTK/sxgGuwwnjcJe3JUdCEeYwTWkYIEUw62X/G8+VHYVkQYYzukm6uOpYeGu4cdgjwziq1VYQOpICjhTbI+B6pyTYEHdRhj7IBUcldhB4LgVsJsPTvbMsK9qXmezA6U0K7Oykz58Th9GaEEVQvYdrIDUVleFU3oZ5sE57rubkJ4d14CGrh/XYIXO6EAHKiOxZW9BXj4jFY8fHYHLmwvYEcXhm3FUkggyLLTaU1UZ+OFBp5bldtakgKxPS+ZnaqPUZEo53d1bJ+8LpIXGsiOx1CUR5BiAAD/9ElEQVReCpQMUhHtb6R3BnMtlZMUO6cKR7tLk3mNiQQ3HlsJXzkh2F4chR0FEQTraByoSMDesigeexNmuTkbb6wFPo8BJQH0n8MDLDAr0FQJXBVQsCbQKvHLjq/2/G4i9xMI21jZ8LOl2IKOYZLBDBxbjqlQBhcHe0KsLVxUDIHAOpEQbeTBuJ1ib6UvK3CVvqwtj+M4cSKcuLooVtbTGe6E4Sncf5qLHaGMMDvJFvPd7bHU0wE+c90QusQFBaFzORBYw8FNMPZVBmLXFl/epw1cfbGzLBgjhT5oSVuLypilKNy8AOUxK1AavhpZ/ssQtXIBwrnGEGpTNy5GxroFSFw2G0mrZiNt/UKkbVqI+JXzEL5kDvzmz8b6WdOwYoob5trbYKa0cyecgGXudkjzmcmBlTduGIvGTVzPa/DGZe2BeOhABv58eipevrIEL19RikNcbx8Jx8MH0nBpsz8uqt+Au3fG4oWLC/D5A5348pFufPv0AH58Yz9h9hz89NFl+On98/DDm6cTYi/HPwi0f3/vEvydMPuXi3uR5jUf+cHL0V8Riit35+PDp87Ez399Aj9/+gQuHqvFIndHTHd1wfxpnlg6c7IpErF+jivC13ji9KaNePOWBlOMwagZvH0BwfkcfPfyyfjgvg68e1sdPruvBR/dUYd3b6oyIPvO9Vvwzs1b8P5tFfjigTp88+c2vHtjLW4fy0ErB3sqGqKqfP18ZhsIrls3b0QVgbYqwgs1HCTXJvijKsbX/D/WESDrCYZV0fye//dbwzcgc/0SNPL/v7tQJaJD0RhGAA3cgLIIf/6deRw+R6XxQcgO3YDiCH4mPLYna+C5GZX8vTzSz5SQbeNzqlkcJUFVhhNu+buloIFi6Gl7aD+kJ61BbWnwehPnui03CcNKmBJo0h7IBmwvsczanNdXjXO7t6KX1yXPqSoMajuFAEg2rI0A20DorCW0NnGA2qOwgUxCcVYU20Y7Q5BVOMGwBtj5tCn8bVtBPI+l9nmjjKCtZNThHEE6n33anR4eW3G7RrKPtlclyzWAVihCnyCcbe3OjaU9iqFdItQTqqtCN/Fe+xrveDO3a5eSAe2YZo0E4uMw+2+0fPYDdp3yLa56w3JP/1eXZy77BiEHvsfRY5//S5Y3vkPzKd/hoc+Off4vWP4fuc7x5f9o+V2YPbs0GKcUheCGziycWxmLWr9l6I1Zhz25fuiOXYVtGX44uCUGB4sjsC11E3pTNmA40wcnF4ZiZ6Y/euK90ByxEbuyw3FWZRJGsth5+MxHV+RJGEzcgD2FYdi7NR67SmKxpzgagym+aAtfhbqgxWjjNn3J7JyygnFytmA5kMdVElcIuqJWYVfqBpy3JQLnVSRiTx5/JzTvL4zC9rRA8/nU4ljsL5OnNB6n1RZjV1kKz5WCHfw8nE2gTfHDSAbBo5AAWpyIc2rScVp5CkGEHYpAVooMWWHYU5aIXQXR2EFgH81hGwlySsLqTSUs06CrQphiIRsSN7JziMW+snTs35LDc0RhrCCRQJeM3SqPmxfNjiLGxMeqk6tnB9qawg6GnZPkvU6VvJXgWx5pgq8qjSnWb2dZlplu7GLHWhPrjzTf1Yj3XYMY7zUIWTsPUWtmoiljI64ezcPL14/hg3tPx/t3nIKnz+nEebVx2JUvT3UI4T7YVHLblS8vNNuQHMDOUlnRISgPXYdc3xWIWjYP0SvnoDR0DTuhULYznJ1pqvEw1bID15SkEZ7nfeliZzqSG4XRojgzRdmXqVAOSZuxE07x52CE9zczgH9bDSos2rQLJ7ubUrJW8qgamLSEApjKYP8S86r3NiqiYOdktGfdnFwJtA6w5XeC2f9IDCPMHodihR0cj5WV91UqBUrq8nB1MpXIVIBA5zY6t9xeqwo5OMn7Sjh0JvA6TrDCJFsBrD1B1hoz3Z0w3c0eMwmy0xwnYMkURyyd4gKveR5IWD8bZWEEuQJ/nNzI/73SAIwU+3IAtYGrF9/7YTBPHqz1aE5eg+aMtejK9caB7myMViUh2WcZ/BfPxbq50xC9ZiGG+L+2ry4ToyXx6OA9rov3MwOWTnnqMuPRn5eOroJU1KfGoyolFiUxYSiOCsYyD2esn+mIuuQV2F25EdfuiMdFrf64vC0AjxzMwCOE2WcuyMNT5+Xilau3mpCCBw8kE2YJvC0+BMEovHJZCb58uAt/e7QX376wDT8dkVeWIPvhpfj+rYP4kWD7j4+vINSege9fOwXfHDofL1w/QhBbhpjlMwh5G3GgMwFPXUsYfvc2/PL5Y7jrvEGsneFqdHPnTJ6ERTM9sW6OJ7zmevC63VEVPw8PnJmHL58/GT8eucByriPn4puXT8EHD3Tjg7sb8cXDrfj8wSZ89WQ7Pru/Hh/dXYmjd5fz+1p8fn81Plcp26vLcVVrBNoTvTn4iubznoMrBqvQnqQBpPRllenvS5AMMYU+KmL8OLDwR9FmL/7fr0LxZsW5bjTJY9leq5Hnvw5lQevQFM3BnYCVABe7YRUhfDpWzJyCpbOnYO5UN6ybPwXp/qs5AOSgMsIHTVEcZPO57eXzqlhXxcDv5t9yQM8zB9tdqcGoi/Qm1PlYNJkJgtKFrSJYKzxgMDsBUgjoJQBKpm+Q9kLhUorprY/2JpxaEkHlZa4K44ApU6oKESaZtVPxtLkJBPEw45FWwlsPzzvG51OzUkrwMjM6hNg+DkQlPai42N6UcGzLUelvAizbs02JZimEbg5Ou9kmxem2EGaV5NlMKJZ0YGdaFDqz4lCTHIGS2M2mEmAfQVwJr1XhPryPm0whiQbFJacq+S3KFISQ/u+/L8z+hBsOEF5G/y/Wy344tv3/C5bD3yFn7Bvsevrvx774X1v+9yDv2H3d9R1e+uXYV/9/LF8/+i2ixgjebx/74r9gGYfZ/37L78LsddURuKouApfXReHMMoJdfghOK43FKXn+GIlZjr1Zfjh3SyzO2hKFA0XB6Ipbj5F0b5xeEkrQZWfhuwyb53kifvFUVPguRmXgcgKrF8aSCH7x64zndigtAF2xGzEQvxE70vwwHLsO7aHL0Rm2At1RJ+FAQRS2pYegNnAZ6kJWoz1mE6r9FmE0cQ325ftijBDZye06oldjOGETziiJxlCiD3pivTCczN+TCdeEzN15ESYk4uy6IqOJuzMvHKdsTcCZ9Zk4rT4L+6oIoZUp2FcSh/0E6wNFkTirOhXnNuVif5G0bL2Nru5p1enYptK9+dEYIYT2JG1Gt2COgLu9IM50YEr4aknwRxfBTqoIguMhkyTGfQiA6txaEvyMl7iXoN/NDlYavvJUKymrj/ApoG1P8kcf2zmQG2Hi+CLWLcAcdwcj0j+FgDaDEDPdyQppPnNwOv9GD59dj7du3YVnL+rGraP5GMvmvYklSEVuINAG4dT8UF5XBA6UxmAvjzvCAUBfhsIuAjBI2B1M24y6UG8zpSqtzGaeU8kmEoLvJIR38+/QoXhoebfZbnmcO3ntzaqYlCyFBj/0EpK35fDvn70Z2/NC2dH6E4BVl92XEOhpQFQeUUGsRe+V0HqCFYFWSV2/ema1TpxgDTtrO1MBzNHWwSR/GdkuwazVRLg5uxiYnWjiYAXAx7yyPKY+K97WxcEB7rxXttKpJdDKE2sBWcmDnWjK2Lo62MPZWmVobY381ize49luDpgzydFU85o/2RHLZrtgDdf1s10RsHgKEjcuQEu6Dw60JuHsrjSc1ZuC0S28L/kc1OVsxGChN0ZK/DFY4MdBwXrsbYjCFXtL8cDVY3jvxVtxyd4OhK9egPXz5xCQVd52Nvo5GNvL/7k2/u2VeJS0cTnyQtcTvviMZMbx2ByMVfPvujUHA8Wp6CvNwGB1AQKXzsNiVztErZ5M8FiCPQTaC1sCCaoBuHdvHF6/sQJ/PpiJR8/KweHrqk1xhcfOzcE1vZtxcZMXbh0Jx7PnZuGdmyvxxZ878P0rO416wY/vEjDfvwjfv3G6iZX98d2L8O3h0/DD4VPw+VOn4q37D6Ap2Q+J6+ejKnkTRmrCcfvBcnz83Ln45bMH8cwNpyJi5WxMc+L99HTDohmCWQ94zXfHhrkuiFrnwUFAAF67vQPfHbkIP3x4Nb57+3x8/zph+flhHL2niWsjvvxLG759pgd/fbQVnz5Uy9c6fP1EIz65qxyf3VmHty7fgvPKvFHPgXAHB4hdqZrhiCR8WRKkTKlZ/p8KDKWpXBqykfDqh2oCVsr6pfxOYQh+aOUz28ptFLvaGLqBz81GSEc1n9v7LJuP2fw/creywmQOfCa7OPC6rBGxeiGaUziojeVzw7WLIKgwpBbCYJsSKzlwbSMIKgFKMzOCUZXS7c3kIDZb2tFKMt1MWxBmwo1MYYR4xfIGmOdPsCvvaT0BVdXKdAwVOlAsvAa8eu4U319PeO0ToBJuFfLQzGuQgoAGygqd6iLUa4ZGyVnNhO9hwrYqMKo4TB8HqNvzFJpkCSGQ7ennOboIu7qPkjVT8RVTFphA3JgcjrqUGKQEbMTKWZMRdtIidGTG8t6H816rTeEo40Ahy+8kk+cgIJY8WPO/tWf27zj64g947Mnj6/fYtY8wc9Z3v/mO6xs/H9v+33R59jsD3fufPfb5D1j+tyDv7e9QdGwgMPr4/x40/z+9jMPsb5Yvn8fFg9XYWlyM4tKtaN17M9749thvZvkWb9y0Dw1b+Tu32dq6D/e+f+wnLt++cDG6KrRvA3be/eGxb//vX34XZq+pDMHFpf44K98Hp+Z6YzRpLfblBmBX0knoCpmJoZjVOKMolDAbgbO3hhGWArErwwd7sgMwlO6L7LXzET5/MpY4WmMp10VO7HAXeCJr9WzUBa9Gc/halHovQv3mpdiT449r21MJz7G4vjsL13TkYU9mIPYVSv6FHeaKqagKXoGza5LQErTCxOJWhq1GxorpiF8+GfH8vd53CeoCVyJtxWxEL5iC4LnuKPaaj95EX4LtJkgn9/zqXBwsj8eeLUkEjWjUxvgibv0iBC2fg7RNS9gRBhKevbGb13BOTQLOb0rnaxYObknDwbJEAm4yTib07ihNQE+qPJVB6M+OMLJag1maftN3gex0Atgh+bCDYgeWGYVdW9LZeUUbD+0OAW42BweE6Z0lBMsSwnaRBR7lkWslMHZxbSLkN7Lt9fGBSPVajUm2E2FHALMRzBHUrE+0gvPECfCe5YGyoGU4rzkBj59fj/v2lODa7nRsz/El5G8gtIZgb6nK+oZjLDMYJxfG4PSiOJxXrYIXkdiRJa83/36l0djO34YF6oTujiQ/wng8xgoS+J06xVC0sENtY6evqm3b2Xn2p4diJ+/L7i28fgLvEKF8b3EUBlP9MZYbgh4OVpoTN5hM8fXzZpl2C1iNNBevw4rX4CBv64kTj0Hsb2JeJ1gZKS4boz1rA1cnJ1M4QQlgAlFngqoNYVQxryapy6wWQDYwy/2dBap2NrCfMAFOtpLdsujMWv1JnlsrOBGGVV1rirM9pk1y4ADB0YQTLJzsgKXTnLCC6xIPG7bdCb4L3RC8xAOZvgvRwUHAJSNlePDibjx0WRduOm0rdlaGY3tFCLZXhqE33xvd2QS8okDsrYnC/Zd34sgzF+DoS7fgs9cfwUU7u+C3ZCY2LFuMRZM9kbBmETv9AA4SQpEbsAbJ3quQ7r8G5QSPRkKCinf05yWiMzsebckWMX8VAugpSkHM+tWY6+SIJe72iDtpKmpiFuLM5s24cSQO9+1NwqErS/HEufn4y5k5ePWaSjx3cQn+ckY2Lm8PxOVtfrh1LBKPnp5oysh+/nAzvn52gDB7Jn54+1yuhFgC7U8fXo6fP74KP717Hn46cjr++uwp+ODRM9GaHohkgn1B2Bo00jacN5CBw/fuwC+f3Id3HrkExeHrMcfNCfOmuGPBFDesm+2OTYRZnwVu8FnkjPzQmbhuVyI+fmo3vn37Cvxw5BJ8e2gvvn1uAB/d3Yh3b6nGJ/fW46+PtRNkm/jaiG+ebjIw++m9VfjkznocubIS51cGoyFqHWFe8lLB6Dg2yFIIj7yUUueQtrQSrSSbJT3ZagJtLQdgUjJQPLtJ7uSgU9JU1UHrUOx7klEx0N8jduMKBK5aDK95M7F29jQsnzUFSydPQvy6lWhNjSQQe6E2fCM6EjcbdRPFubdoyj8m0JTH7c7gs8NzdBIYpePaQcCT93aAsNmSyL8xwbctmYPCVEIn/7aaAZJHVu1XvHyLAFdQzrZJMksx9b2E1iGpmxDAlQxmPLf8rZvHaIsNoo3hQDQtHP0E5x6+ticJ9AnC+n9KlYqBpXCDyRHgOVSNsSspAKM5kejnMRRSNZIXx+tJ4qA7FuUxXigL80FxmC9KooIR77UGK2dMhvfC2WhOj6atU9EVXmdCKAp812FrkDdBPBRDuXEmqa0u3OffGGb/dTnmUfzv5on9t4LZf+Cla7jtyd9h/1nfIOoi/n2P/fLfYRmH2f8fe28BHteVpWtPT3diZmbLspiZqSSVqkoqMTMzMzPbssxsx7Ed22HqcIfBYXbiODGFnJiZ0n2//1tHzp10T/LfmTvTcwd8nuc8UlUd2Gefs/d61z5rf+vn5Tye7shA0fr9OH+TH68fx4Nt/Lzto5Gfudx8fRgZRQTYH7nBX27i+ENtyCjZha+UX7/H442NePA4fzu/H2tL1uJdZZT+PJ5fPojnTykb/bssvwmzO3N9sTbOCaujbbAtzYGgaolyrwUod5+NZvVCdKpNlNHTZSl+6I51QbnfHLRrrdAe6oS2CCdUa2xR6WuFXHsTgu1ipHqYIsJsPkJM5iHezhDhZnMRPG8i6tRmeKovHs/3xeGpeh1eHyYkrMhHm84Gac4LkO1phhRHQ9RpCdPx7mjwM0Gymwmc5k/FkiljMGvsHZg75g440Vg6zJqE+eNHYeadf8CcO/8RFhPvRKj5bFSqrdGgtUB3hD1agu1RFOAE9wUzsWj8HZjw+99h0j/+DvNH/R5ZBOymcCfoTWYi0nIe8lSWBLwgrM0Kx1pC2nCcG5YnqjBIEB4kkC6XUIl0NZalSsYzFboIi7J9Q5SoIPigl9v1pQQro7giF9aVKJPHdFiVFYx76lPwSEsWtubr0R+nQmmAPTJ9bJDpa0OD64YsD3PUR40Iokc7WcKM0DPpD3fiToKeTFSaM3UK/OysoVpqgChLU/QmqLC1IAi7ynXYVRWOlQRV0fwVpQWRDJOkFL38f0dZHHZXxPJa/DAQ64llcZ5YmR6IFcn+WJUpca6R2FwQhRVphPCUEAzSGA0mqjGQHIjhTD025MbSIYjHYHIw2iO8eU2i60vDx/P3xPvy3rujI9IT/UkiS0ZQCHNWYgO9LQwhagGKPJcSBjAS9zpxDKH0lsrAz6OyIyOzd2CcArN3KhPCJo4dp4zG3sF9ZHLXpPFjMebOOzCe2wiY3kF4VUZcCcm/J7yOYh1NHi/H/j3GE56nT5qgKBSM4ao4AorCwVjMmDAWs6eMhcHsiVzHYcn00TCdNYbwMhMeRlPgNGc0wpznIVsvsa7maE/zxb6+DLy4sxmfv7AWx96+Gx88vQJ7BvKwd0UhHl5fQXhtw7Nb6/HY6gq8dn83TnzxIM7/+DK+/fwJnDj4CtY2liqvrW2Nl8J68XzkqB0JPo5IcDKC09xpCCLclsfymUmPRkU4HTrCR2V4IEpCRMOUQBNNeIimg5EdiwxdIIF7hpJgwZQgHuI4lzDtiPvatXh2MATvbk/Ex/tyCLMJ+GBXBj67vwDPLQ/HtmJnPgtOeKDJE+9tjcK3f8zDmRcrcP6dZlz6bLkiw3Xjm7tx7etd+OmHB/C/zj2Kv5wQ1YFVOP/+Cnz/+gbUxnpBY7UAcZ7myAt1xmCxFu/e34DrXz+GUx89hGo6RQsm0UGYMRlLZk4mCE6Ds+F0eJpOh/uSKVCbTkNzrDXe2FWAH99Zh0sHNuHC+8vw3TPlOPpIHr55rBA/PFuMUy+V4kfC65lXCnD5XQLtO9U4T8A9/VwlPue+Wwr96UC6KxO5agh9Il8nElQipycwW6H14HPoRQdUHCwZDeX3IZLkRN5OBKKH4CextsvzopTR2MIAZ2WEtEznhVyVI4p4jEQ/J4Q7myPZzxHpKmdkeDmhQO3NeyG60AFojWG7F5gkaHYkhbEdpWN1booCtBVShlBfHsdL0Y9uo1Mi0mASKqCM5LLMEiPbHif9RTja5f6y3ctEWAlNEoUUySwoEz8l/KAnJVTRvZZMiEMZ0QRjQjGP3ZOo57UEoyUiEIMpYXSeJT6WICvXTmepje1fnNVWnkfRsJXQA4KuyBt2xwehPtiNTqqG/ZVkCZMJtDLvIFQJL4hxtUC2vyuy1IRZgmkK6yDS0wHRnq5oFBmvhBBFjizOxZL9lRVhXI2+xCheAx2ECAnJcv/vA7Pnb+CRnVcQ2sdtCI/pW6/i/fP/FHt64pkr/P4KnnzvKnJlm1tQ9FvfkwBw4p2rqFo2cjzNwBUse13I4RcLIeHNR64g/dY5Ncu4zYs3cEn58dfCJFgm+UkB3CvY9vo1tMlo88/ff38Nxdzur8D38l9fV+jKK3jk0F+PqP6LIe8vN7CB15P+xE3c2H/ruv9ZzOt1rOJ5ip+6gTfvu4Lon8+7/q/r8+dreOTnQb1bn+975zqWrWddyPVy36pHWB9/+Qnvs57+97F+5Rr+Xa/zv/3yLtknA2vfu/WRy5WXBpHR+DgxVZabeGVFBsr3jqCrsvyF0JpRjn3KV7I/AVb5YQRsH+eO55/rRs0v9/l3WH4TZjfnqNAbZY/uKBsMRhhje6YDuoKWYH2iAzanuaHZaylsl0xEkr8lgcYLMbbzCLom6A134/YuaFZZoNbLlKsRusPtsK1GjxWpvmiPFM3ZQAyEuaHMxQjDsc54uS8aH2xKx8fb0vHqsmTsKgxCzMIZsBw7CrGW85HtvARVviZYEe6AOg8DZLmbworwsXjSWEy+4/eKhulswstUAtI4gsu8MaNgP2MCnCePRorNfLTobQmMDmjRGKPabyniLRbAb94MWE/gMe4YB/Ppk+FCiKjUO6KNRtliwmgYjhtFOBiPFJ5rY0EotpWHopcGczXLviYjCMNJPtiY7Y+VCd5YQxjcUqjHQIIvwU9esQdwDWJnrkZ3Eo1lEg2oJIcg3FXqnNi5u/A7X6zL02EFnYEW1kmGjxVKNM6oowGr0NI5CLRHg94VVRpXRSasPFKFAEtjGE8cD6v5sxHsak2Q8UIBDXUPQXpbgQprkz2wLNGbRk6N1RkxNIoiqO6FmmBXNOtc0RHshK1p3niwNoQw66VIrMnIcAvhu090eUM8CcVBGEgMQrvAOAG2NsQDlUF2aIsi9OaEYXVhHPpSg5WwCpkY10fgbYyWWF9/LCfwS1IMKU93Ap2chEAsTx9JbRzuaImJd0rM6wh4jlWktsZiCoFzHL+XZAoj4QL/gN8RVu9URmNl0pZA7x2Ez7GYqqSaJdBz/ynjJLPXGAVOx4nygTK5bGR0V0IN5Byyz2jC7Gg+EzMnT8R0kfgiyI7hMQRip/M5EaWC+dPGwGzeODgtnULYmgwf0xmI8TJAqsoIFZFO6CvSYnVtJFZVhuGBoRy8tqcZr+3twBv3deL9p1bj8Gt34fj7+/DdJw/h1KGn8O2nj+H7Dx/Btx8+jCPvPYBz372Ay2ffwvnv9uPEZ69iTX0lwW4+bJYshIoOSW64PyHBGWqLRbCbPx3RHtZoTNOjmTBbFq5GvsYPRcH+qI4UdQreJ4JTVzqhJzMKBXoNrObMxaLJk5VUuPYLJ3BbY2yp9MJT/Vp8sDsV796dire2JOH9bSl4c0MCHmzyxZpMW2zIssQDdS54e4Me3zyajQuvVuL82/W4cqBXUTO4+d1dyqjszRN78dP3O3Hz6224fmQdrn2xHj++QZiN9obrolmIc7dArtYJTQT9ZzcV4OrRB3Dpqyewsi4dJnOmwmDmNCUdr5HEmopCg/FMeBlOgeeSqYhxnIeeNEc82K7Hm5vSIIoLH2xOwic7UnD4wRycfr4MV96sImgX4uwrRbj0dg2uvt+My++14oenyvDZrnxsKwlEeZA92y+hlc+0wKFkyZJX9/IaX17ny4TPDoJrRzwhLkGtfF8sknLBnijxdWIb8CMghhD+AtgGuX9kENujB6oDzPkbnUpCbhGvt4XbKAlJErSEwBAl3lUktiRDV3WkjsCqVu5TUxyhk9tJKI6Msvam6zFIAO3k9+uK4rGC//cl0SEUYCSMinzfQFoY21yoomogiVwk82G76Fvz/B2xBFqWX1Re2gnMXTy3wK9oxIqerkBpC2F6MI39VJKEEfiy3yC80qHo4NqXrGZf4EYQliQMemVSbQNXOZbEu0umxbZItmMCdp1MKmM91bIvqI2VyXS+SPdxRYnOH7kE2gw63YoqRKg/SgnzjQmhaCPAV9CBSOfv8d5OyA1kvfK5rdGreU2RijTafwuYvUwAGyJArb6KJz+7iRNf8fNqbjv0T3GhI9DK7/quoOeRa3hy/wh0/vr3/0v5XoCs7Ynr+PKHm3j/CcIYPze8/HNYw5/x/n0j+616/QZO/ED4I7DJPsXPC/T+L9y4+BMuvT5y/J7X+f/5W3B2a7RWYK9hD8v84nUcl+//FmYFPm9d15++uolLX1/Hto0j5/zfEMnlXwp5N94aKZ8S53rtOnqkrM/8DaDfglkNy5Z73zW8+dF1vP/iCOhrtl+/BepcfhVmWY4hAu3r13Hgs+t4kjAs50sksEdv5zV8dgMHXr+KNl7TX8Xs/jtf53//5Sb2r/rFyOzNWyOzOz4b+VkBVMLum7c+Ksv3eLDuZwD+25HZYew/9QqGy7fjs39DHPWvLb8Js93hTmgNsyEEWaLEdT66Q0wIoGbYnOmFTVn+aFJbQWcyC00EvD31sews/VDqZYE6tT1KPIzRoLZEJ/fv0JqgP8oW6wl+mwjIO0vDsS7NH6uTvNCgtUWlvzk6Qizwp65QfLG3AG+uSMbeskA06u2Q4bgEawh8KzM1KPM1Q12ABfLt5yHPbSmyCcrhDkthSANuRBh1WzQTjnMmI8h8HsqCrAhmtqjxN0NjkAXWpbphVaIdlkVZYCjeHsviXDEY543mYAfkOi4lYLuhSe/AMpuh1scUQUtnws1gOuzmTUSiGwE+LwAbs3yxPTcQ27P8sC3bCyuj7bE+yR1rCbCrUgOwieUcJpgOJ/vQIHjRWIVgc1EsBgmyMnLbSkPYFuujgGYff++O9UBnrCev0wnDRcFYlh+hxNR1ZdDQRHqiNtgWHYRcScG7No8gVRxJwxWAAj87RYC9MMQdXTkx/D4em0pDcFe2M6/LAYMpaixLiWKdVaFe74VMDzMU+VkrI8kDkTa4O8MR+wp80B9sh+XRHhhi2ZsjPNAawbIQeJtCJRsbgTg9FA2hXqgM9mB5vLEiKxiDmXollle0gttiVeihgVyZE4Uafi71t6Yx9VFkywYJyJ0EWgHb7nhvdCYQ1lSumDNhwsgELq6SOnbKhHEYP0rksAioin7syAQtWSUudgJhdxShdNyo0Qq8TuX+Aq5jR43CtAmiHzsWY/8wSgFVCRkYmfzFYxBmZWRWRl8ncZVkCDIyO53HE4mwedzecM50GHFdMmcKls6eBAfDqfCznIUQh/mI91yMznw/bGmNxaNrSvHOI/048PQKvLSrEU9srsTTO5rwOr/76OnlOPDCehzZfzfOHnoMl44/hzNHX8SF797CzXMf4fqp93H5x3dw+tgL+ObzP+LKmfdw8ouXsa6xGMHWZlDbWiHM1Q7Zwd6I8nKG+UyWZ8pEhDhaoJGg05oSirJQlSKHVhuvQ1VMCCr0BIxQiWFUoS4+GKVROrgYLIQJgXHhpPEwmz0OWpvpqKEDeleVG97ZmYYP78nChzuz8Ok9eXiqU427y1zZNo3QoV+I3WV2eHnIH8cezsTZlytx4S3CrEhzHV6Pm9+Kruw97L924KZkAftuG376bjNuHtmME6+tRl2sF/zZ3tJ8rQlxDkoShfuXpeLUR1tx9cgTeGBVLR2E+Vg6axoWTGU7Jdhai4bukmnwJsz6GM+A3mYucn0WY02uEx7rUuPdbfH4YGsiPt+bgcMP5+D7Zwpx8rl8nHquEOdfLcPF/dW49FYdzr1SiR+eKMIXu3NwV2EACn2sUck2IXGlMjO/lnBZETaSZlWRkJJwAkUJQGLcgwi4/iino9gcPQKKHWx77VxFFaU/RSalRmIgNRzdBOE+gp1MLmvPIShmxhJkNfxetlcrce7VdDpFBaRU642SkACuUgbeH7Y/0XWWGPkWOnzyhkbCdOQtTSvLJK/zG+mQdhBYxYkU9RYZrZVY1q446TNUSrlkFQ3qtlg1Wgi05Tp3SGYzmZQl2RIl5KCV5awJkT5GHEod26gkZXBR3or0EJIl5KBB70MHMxjrCuIJ1f5oYV1IKvDVWdEYJGyvzotR1A5Ec1fSYyuZBfmM1USqFY3vCsl0FszrDJawiAAU6QNQRuivCPNGMfuJIp4/R+OFrCBvJLtYI8fbDcVqllMJ+fD6bwGzx5/g9387ynj6GqoIUj/D588jsPd9+4vRRS6/+r2AHuEt9IFfvoS/9YpeIEz5fBO7V/5teX7Cn3YS3nZcx5lb3/wMeX812nrru3820etvYfbTqwRBXtcvgO7n6xoB5pHlXwZ5LNtmbrfy6gg4E8Zf2fHLzz8vIzAbuvsX4Mrl+OPc9ucRZFl+A2a3Hfpl/d7Abhl5Hr6KL38JSe+NAP7uI7c+/7te5/+Q5eZn2F4+Eg+rxMR2P49/ig64BbO/GLn92++uHNqH7v8dM/sZXllRju2fjvz277n8Jsxm2C5GnpeBErvaorFGnb8xSrwNCH4OaNXZKRnBYuwWIZrAWRvqRGjxQhfhqIeQVuZrgrZQR/7vilVpbgpErU5ww105/thXxo4zwhlDCR5KiEJzuAsqfczQFmKFNYluuLcyEK0h1ij2NoPefA5hygErc0OxOjkYZa7G6Am2QZfWAmsIkr0J7tCazUOA8VwELpmNVNclNBr26IiwQWeIJZbFOKCPIN0RtBQ9OkOsTLDFYIwVwdZNgelWtSmqvWYSMN3QE2GLrmDuE+GAGp05qnQ2NH52hG0LDCS7ozvUEkNRjlibSJCNs8OA3gRD0Q7YVaTH7qoYbM3XYRuvb3OWNzrCCI/xntiQq8O6XIJqqj/XQNaFSgHiVUm+GOL/kh2rNswNnYS+Vhqz+igv9GdqsbE4Gl2JvuiUSWKEx+FMHbbwu80FkVieokFjuAfSvE3QQXBcXZGO/jw9ulOcCZ82iuxZc5gnquhUlKvtkGi/EAWs3x2lMdhMYH6gNhFr4pzQSWejW2uHhiBbNHCfzjgfGlV31GvsUORprmRLq9I40tjTCCcFYUV6CESPty1OlBZcUaF1RDn3bYnxpKH0Qp6PBWHCFd3JYRCN3mZu1xTrTUPviDrCcm6gG+bLyCphc/QddyggO20iYXTUPxJQf6+EA/wtzI4fMwpjCKITRkts6xhMJrzKaKvEyc6eNlVJhDBpNOF05lRMGiVqB6IjO5K9a9J42X40zzEOk5VzjVNGYo3mToPBzCkwmDVVmZS0ZPYULJ49GbaGM6FxXoIMOj/9RYH442Y6Vo+04tPnh/D1u3fhG67H396OD55chhf3teKF+ztx7K3NOHvwAfz48UM4+dnDuHDsOZw7/jIu/fAerpz+GNfOfoIL/P/YJw/j+KcP4+LJt/Htp89iR18VRNqogiBQHSG6nN7Q2llizphxMJJYTGcbZWKR6ASXBctMchUaCBW18aGoj6XTE61nXfuhJkaLXJ0ffMyWEmKnw2DyeJjMmgC7OWOQ4jELQ7k2eG5tJN7dkYZ3t6fhnW2peLjFDyuSTVHrPx+9UUuxMdMcb6zR4MgDqfjm0SycerkcF97vUBQNbh7fimuScvaLdbj+5Xr8dHwLfvp6C258tQUn39qAjvRAqK0WIUftgEo6hK3pKtzVEYuv3xzGtWOPY/8DK6B3s4btonkwnD4FRrOmwGreVHjTCQ40mcF1JhJcFhMwrXBfpxbvbE/EVyK/9VghTjxVgm+fKsSRxzLx3dPZOP1iMc6+VKIA7ekXC/HtHzNw9IF0fLI9BVsKvOnAOqNcEhzIzPtwPzp87gqQiT6yzPpvITg2hPsosak1knKbba0txpvOGPuWvCi2Q3cUeC+lE+nGticjnCHoT9XR6fRHO4FQ0ZlODMJgaix64zWKHGBDmEz0cuPx6ADGq5DpbUtHiH1GZAA62F81RajQzv1r2ZYaIyR+1pMg6qq0j146K90sV7e8PdG6o40Q3s4y1kmcrIyYEpZruL2AcDMdxzaeX/YRpZQ6OpmSoKBWks4QypuiZCKqSGd5Id/PhY4OITPYHfn+DqwTL0UyS8nwx/8FlIfT9LwGQjDL38RjDKaGQlL8yuiwErIgo7aEYsnyJ4kfKsL9kS8qCeH8n8+jJGQoUaA2gKAqsfQyT8BfeY5zCL3p/m5IdDFFKcG2SO2GMg1XwvV/fZi99f3ma38FX/L9fasvQ3PfyPYj0PoLGLu1/Or3t8Bsw88DXT8vCoQR4E7Kh59HZgnMj1zDga9/wo1fG9W6dax/DrN/PeqoLL8WZvDPllthAL8YUf0XQd4tOJQQg5+XkVCDv73Of358Wf5ZPf3tNfzqNf3GPfu1Ovlny//ldf6PWM7j+d5fiZn925HZ/x+Y/eVy5c21qNnyEb5/fe3IhLHcRuz6+K9mk/1fL78Js1UeRggyHa9oky6PccdAlD0qA8wQ57QIKuNJMJs8GuqlM6E3W4QwyyXoiHJBX6wLlhEUK/yN0ECQ6gxzIQQTbIMtsCzciTDogvWJ/uiPcCJkOmM9YW9rYRjWp/hiGSG5xsUQjSpT1Gmt0EyQrCZYNBCGVmTpMJisQamHIdoJmv16CwyGWWBdCo2I1hq9hNb2MCu0BJthY64/ij0N0ay2wFCsM+pUJkgwmo5Y4+ko8TdFC8/Tk6zCMA1xs8YUBS5zaSicWE4LQjv3iTLH+jgbrM30wcYcGrEAI3RHEF7jXTBIIF9GeOsm8A1FOhLSXbAhU4Xd5TpsyvDAPUUB2FcSgB0ZPlif5MHfAhWg7SLo9yX4oIuQ3uO/FP3h9sqxOqJdaOAc0Zngh0oauXICYkOUO9aXZdFI+aJJxNx1HqjXOWA4hWUm9C4jVJaFe8HXeh6ifKyR7OeAWHdz5BNYe5J80M56rg+wQr3aShkVbics1/jbY22SH+4mFL+9shr7ioKxLtkDnTpblNDx6Ir3xlCWFq1hrmgkmDSzHHUEVWXCGOu+Tu+CxhA6LLG+BPsglssL9TROAsydMQRwGsYGAYQYH/RlBKMtgQY6ygd1YuQFGuJHRnOs5s3Gnf/wO8LpGEyfPBGzZ0zG+LECq3/AqH8cGVX9PYH2D//4O0LunYTZ0Zg0TkZXR2Mit5EY16kTxmPahAlYNGvGCNzyWPMJpxPuHDMyQYz7j/nD77Fo+kTMGDca0wm1C2cSWgmJS6dPgo+8yjeYjYUi6D9jChYSag0XzISN8XyoRaUg2UeZ0PXhH1tw4NkuHHxxAAdfWokvXlmHHz/Zy/UefPPeVnz4pxU4/u4WnP3yYZw//iecO/I0Tn/1JE4deRZXz3+I6+cPEmg/w6lj+/H5W/fi28/+yP9fwLvPbse+NfVYU52pAG0tAUaky7Q2S+Ftugh6RyvkyuhrrMgqadASJw4EoSolHFURBNx4PfcLRi7ve3mYP0oJw2pbM5iwLm0I6jbzp8Jy1ljo7aejPc0Cf1ofgwP35uD9u9Lw9tYUPNTuy/toiBr1AkKNJXaW2OPdjeH4al8SvtybgDOvVODyh93KyOy1L9fh8oEV/Mv/D23CX77dhb98fzeufrYBp9/bgo7MIKjMFyBPR4Dic9CU6ofNLVH4+o0BXPzyXhx4biOyQr1hu3A23I0WwXzOVFjMmQxP49mIJcRG2cxDqrMBHTgXPLsqCgf2pePT3Sk48kgBzr1Wj/Ov1+Drp3Nx4vl8XHitHBdfryLQFuHrR1NY1igcuT8ZH29LwtZigly4vOofyX5XFeyhJBeo5ecy/i8wVcO/ksmvhnBYTXCtowNX7G+DYtFc5vNcyDZS6GWGSq2zAp8DGSF0MOU1uTvbR6Di0Emmwk6C44DAKJ3PRrbPNrZTJf0172Oyuw2dNle0J4VgbUEMNhTG4t7mXPQRjEWxpIdQKs6oHLs7Xq0otQzEB6CH4Nobp+bvEucuYUf+6CFUyshpEwG8n+cbZruX8J8uiZuVkINIXzru/sooc5nODfUss4BwgpMV8lS8NkJklrs168OfoM/rJ+g2E3hlgldXtC+a6Xg2sy5Ked2NkZJS1xsFfhK77Y0StYcSl53rz3ohvJbpVSiio1BMuJbsZgUaX5SGqpEfIOoPKmWCmkysKxOIDtfQufHkb6xX/Ui6XVFyGcjU/zeA2RvYJq+tCT6/ut7a/l8Dsz+HBvz6+gtg+8tP+PLFq6iSV+TyG8G2mPB84pcDuv8mmP1fuHTwGpZtvPy/Y0l/Xv+1kDcyen0rxODn5VdHoP9fwOy/33X+j1h+fBxtGd14/vytz7J8tQ/lGWuxX3GoboHrb4YZ/GK58i7WNq7Fu+f5N3cYr/CYN48/iMaafX8zYv9/t/wmzA5H2KIxyAzNXHsJij0R9igPtEC0/XwEm82E6/SxiLAzxFBeAnqiVOiLccYqAt3qTA96/JboJjSuSiHAhTmgI8yZ4OiAWj8bRau2O9YNDaGEpXgPDCX7YijcEY+UaAjNvgQqN9QGWHI/OyxP8ERnJLcl4CW6GMBx8j/Cfe4Y1PguRZ2fETr8jdEbZIztSda4L88Zm+LssS3Nh/v5YWOmP/YUa7CnUINab1MkmM5BstUc5LsZIItAXudnjJ4QKzRpLVBK+C2wm4uEBVORtOh3aAswVCTI2kJs0Og6Hyt4LbvyZSJYIDblhWFDshobk91phJxR5GlA4F2INbE2XO0wGGKJjTF22JnqhW2pWmzNCcbySDv06S3RGWzL1YH1aoksHjfb1QC1Ghv0JxLmk7SEVkfUhzpjY2kS1pVEEzCDR17vJ3rg7kKCLIG0xN8RngbzYTRnFqb87neY+A//gNl/+B1CLebgnvJYDCX68Loc0RfuhuWiMMDjDSeqsJVwvibaDnsLCNrpbthe4IflhOp2nR3uKorD5vJ4dEdL/K8O6zM1vJ9ehGcaXBrbOo0jnQaCdoAtKn0s0axzVrK+bcrWEvj16A71RIeoH4geb4q8wvVRwFZGZEVztifJn8DgCT9zA2W0dNLo0Vg0ezoWEDCnThmnJC4Yw1ViYWWVkVWJgR17552YNmmiohU7btQfMGvSOEwhoE4Z8wfMmz5ZyfAl4QpzCXJ3/mEkRlYyeM0YPxpzua0kPJD/jefOhgthyst4AXR2SxHiaArT2RJeMB2m82fDfNFc2BgtgIeVAZIC6bgUBuONXU049PwQvnxpOT5+ugdfvEqY/VRgdg/OHtyHHz+7G8c/ugvHPtiDE58/ibNfPU+YfYr/P4pz376OK5cO4eqFrwi2X+DyqQ9x9vgbOHvkeTy1uw8d2aGEJpEtI3wRcCojfZBH4MpRu6JI74/m1GTUJUYiX+WswMDyrEg6YCFKXGZTjMy4l1nwMitei/IILTR2VjCaPgWWc6fCatYkWMwaD++lE1ETZ44nVsXgk315+Hh3Np4fisA99Wyf4YsITUvprBjjEcLtwT0CsvH45tE0wmw5Lr3fgesE2Sufr8IlSWX7zV3484l9uHFsJ0F2Pc6/M4ST+zejOTEQXkZzkKai4xlNeIzzwuqqUHz6RDMufLEb37x/D+qz9fA2X4QgexNYs3xGM8bDZsFkhDkvQmmIOfpSHJX43oc6AvDeXXH48r4sHHm4EKdeasD5NxtwkuU590YNrrzXhMtvN+PUn4pxcDcBfXsIDhO+P9+Zit3VgajUSyIQLz53kmLVm8DP5zZakhWIDuxI7LnEzVZoCN6h7gRMyaDlg9VFEdhQGQORqavXuxLA3JVY07UlCYqKR00wnU6RrosRpRNpp2oszw7h/ZA3KT4EzwAMZUYrsbhldDw7kkPpcEawTWuwvSQWG7l2S8gNV5EF7GKZRAVFEh/UBPH+0ils57nbCLtdCaJJS+cwmW0wO5IOvFaJvV/Ocw4SQocJxZKERhLQDBIQWwmqkrFLyWxIUG+NClDiqWtC2P7CVcj3tFUydxUFuChqC83hvor0VmcUr4PXuJKOZyfBuDHCE1UsSxlBXPaVtNflkrQlK5pOCmE51FfJAlgkI8s8V3GoSpmMWBumU2JiC/0lCxlXnQ+KRF6M2xd4W/GeeKKL9dHBZ3dlfsx/n5HZnddx6bzEpf7NenlkuPRfA7M/g9nug79yPK6/OgJ748/se66imDD2VyoB/wzcuPwq+HH5W5j97KoSpytxu8flvMpB/29GLG+97ud+v7r2XcEr125t+v8CZv/drvN/yPL942jMIHj+sloVmP35u//TBLCfl5v4aEsNoffKyDH/9wSyX04Q+7ctvwmzq6NtMRBnQ9h0QnuEJSq8lxJsbQk8nvTm6f37GLMTdcaWwlB2rG5oI6ytSHHHqnQPDMY6YHuuL/YQUO/KD8aaLB2aCKmVQQ6ok2QKBNr6KFd0EmY7wp3QQcjrFT1SL1tkexij0McUlYHmPJ8Vqv0s0BLiikw3I6Q5LESVrxXWEla3ZIViOM5TmUDWo7ciMFoTim1R5TkXd1fGYUdpOLZk++PuogD0htspygvdBOQyl6XQLpgIzeIpiDGdgVyXxTQqpoQ6M/QQ3BMXTkeqtQHLYAeN6VR4zLgTec4LCOEW6Iqxx0CCCzZn+mInob0tyIQQPBvppvPR6GeLlVE0oqynPh5rKMIKmzKCsLc8BntyfPFErQZbyoJR6WuKJpURVic6s2402FkaQXhUY2WCFzameWEz6+2xjiS8trIST3QVYUdFFAHTA31h5uiPp8EItIXGajG0NsbwXDgDNjOnwHvJXEVOaFV6IPp5fzq19tiUGoDNNNgrCJObU32wM8cHvRoLtAdYoJuwW+61BDV0COqDzLEpJwbLUvSoD3DgfXTCcJIvViSpsD4jBFVqByVcYVm8L3oj3PiXRp33bAXrfUuyC/YVqhXN4YEYOiYphOdYP7RKHGJCILqVhBYqtEd5oi7MHckqJ0ybMA4zJoyHKQFy0expmDVtEkb/4x1K6MHE8aMU+S6ZvDXmjjsxaQxhdPJ4zJkyHrMJpwtnTMCsCWMItWMwf/pEzJ82EVNFkWDihJGJYATbaePHYProOzB34hgsmDoeMyeMgr3hfHibLYTWbgkiXc2QSXB0MZynyEWZzJsJW5PFcLIwgqu1MfxsTZCudsLmxhS882AnfvhgO059tgfH392BY+/swOG3d+Dkgb24eOShke/f2YVvP3oIJw8+hfPHnsfFb1/EmWMv4PyP7+L65cO4eu4LXD93ENfOHMTpw6/hid0DaM3UK+lDm2K0KKHxL9Z4oUTnpaRhrYlRoz0tHjXRwYQCmcWuQy9hoFVE8hNC+TeEABOM5lgdqsL8CcOhiPVyheHUSTCSCWALpsNk2jhYzxyNdNU83NXgg7e2p+Kje3LxzKAkGbFEse8MVATNw0CyCR5s8cB7m/Q49nAyTjydhVMvlhBm20aygB1ahWsHV+KnY1vxlx/uxZ+/28fvNnGbZpx4eQNaCFpuS2Yh0YfgEumCiihn9OX74/HVqTj+5hr8eOBBdNEpC7IzQKyvHTyNF2Ip75vR7PEItJmDIsLsmhJvPNylwfPDeuxfH40vH8zG90+X48fnq3H2tRqcfq1iZLT43SZc2t+Ebx7JxSfbI/HJZh2+3BWLL+7JxH31BH06b7WEWHmj0U5wbE+QV/0jSUk6YkVuiiBJkKvQuqEmwgdtfE77UzXYVZ+EVdlqdMV60in3wmCaDgP8XuTpJE20wLEkUKmXkALCci3/lhCIq0I90EnALFN7KKlu5dW/SGsNZMUoMCqZCDvYH7RFeqIxzIWg7IZqPnfVBEYJV+hIkux+AqLyit4bVTy2yGs1RqvQmSCjsj50NngNhN8Ogm4jzydvRHrig9DPsrVGqtAQKhJcWmV0v4zgKLJkElMr39fweRI4lTS+lTpPFPm7IM+b/V+QK+ojBNzZfxHuW3gOkeSq1rnTkSZQJ7HN8zjNCTo+oyGojgxETaQGpcG+qFTit7mG+SlqEVXB/sjz4zXxORSZsxxfVxRqvSEau7WB9orWrehWq0zmI9bF5L8BzP4ilvVvIfMs4fPWv/8qmL31Sr7qxZ8ne91a/vITzvw8o/8WePbs/z/MuP83wOyXj/BYf1u2y9fR9q+FvE+vIlT2eeAX+rw/r7x++e2fruM/Hmb/3a7zf8xyHPtqMtB4z2e3wgy+xyuripDR+zx+Hqz9a2mu8/hsbxsy/na09dvH0bbqFSgBBX/5p5FZfPsfMDK7Nt4Bm7I8sDpN9EpN0Rlih8EIR6xO8kZPhGT3skRvnDM2ZrljINoGy2L4f4Y/9pZFYVehniDnTbByxHCCNzbmh6E1Rl5f2aMixBn5vubsZJ3RzLVJa4fOcHb2BN0iDzOU+hAaY93REGKL5hAbReqrK9yTEC2hASHop5GSbYpUkhjBCbvL2Onq7VFCOMt2Woj2SFcFpAoDrNHBct5dpMaqVG900aCsTfFBP2E6ymg27KZPgtfMyUhzMsDqAjVWc5s1ie5o5n65DsbIclyKeOsFiDWexbLZoTfMAUNRBL1oF+wpDCDMemMo0har412xLsUP69KCsC5ZhX6CucT0DiQ4YX2JDkNZNKzh9hiKk/hTRyTTiNcHmtAb8camgiDsrkvGQ62J2JHjjQ3JdtiU7Y412Z4YyiWYpgXwON5YRsdiVYwdtqR6EeBdsTLVH0NpajoJ3IZgvyIpALuKo3F3Ac8X543lCT7YQEDeWRajqC+sSlGxfLx2Oh+9endCfgSP6cX9aBxlEhihsyOav/MeNWudlFHZFp2kJ/ah0XNHXbAnOggK7ay7wUgnrImyw10E7A2JLtidr8K2TIIy66czwgVtEQSCZDUGaHBlstvadC06eY7GCIm5U2H6+AkKfBrOm4X5MyXudSzG/6PozY6EFYwRKS1C6aTRd2La2DsxdcKdCpgaEIIMpk/AYgLt/CnjYDBzEoxnT8W8SRMwZ9IkTBwzBhNG3YnFvKcms6byt2kwnz8N7hYLEOlljlg6SRlqWxQSCsoi/BDqZAXjOdOwaNZ0GBssgIWxIRysTOFha4Zwb1vUp2nx4JoiHHljI84ffhynvnocR9+/B1+9cw++O/AwLhFYz335FEH2YZz47Amc/vJZnDv6J1w59RYu/PA6zn3zOi6d+gSXz3zG9SCh9hCu/PgRnt43jIZUmcwVhOq4YMJrCEFEUn+qURLijoIQggUhtzpSNES5hqvRRHBoig4iZASOrBJDG6UeEarn71k6FSzmTscigr7tXF4360l0Z/3MJ6Ev2xpPLw/Fm1tS8Xg3HcBMB5Sq5hN0FhC6jLCv3h7vbdbimz+m4OSf8gmQFbj4dhOuf74MN74YwrUDg7j+xRr89M0u/Pn7+/Dnb+7Guddb8MNLG9BB6HM1mIk41m+e1hYlYfbozfXHAwMJOPLaMM4eehx3DZYg0HYh0gmRwc4WsFo4C4umj4PF/AkIc1uAimhr7KgPxGtbk/DxPVk4sDcHR/5YhBPPlRGaK3Dq5VKcfrkYl95uwMXXGvDtI3n4dHsUPt8aghOPZOHwvjw80hyJ8kAHVBOiRKO5NdYHtaxLybolGfR6EkMIlgQ3STggE8AU7VXCmLyep/NWG2iNeo0jYdaf7cCf0OhB2HdCsUwqC3YZGfWM16CNkFrB46Z5WCHX15bAKSEGQTynrwKzbYk6tBEAGwmDNbze2mB3tEVLumoBXjc6hW6QbHwiuVVDcJQ0uJJoQQBTMoHVyPmTJF10AJpDCdexBNs4Fc/jSRB2RnGAI+HQg4DOZ0de+xNQawmWlRInLDBNAG7k9RX6OhLuZWIawTvITYHPCsKopPfN4W8VYb7K97l+jijiuct4LNHFrQ6ThAyBiiKEXEtvagT7IK4pEbyuUB7DX4nVrg0dObZMrKvnWst6EPmzhngt2rMiIAkWJAmFxCenedkqWtihFov/G8Asl79RM7gkygJPXFGyaf31BLB/IcwSkOX7f1Iz+AnHP7uGDXL+YUKzMnJ4a0JV3xVse+cGTpAqDtya9R/90C9e298C1BGQvDEyMexfCLM/qw8oqgICnjx+w60R1n855P0Zr+wcKec/jb7+crmJ+2Qi28Zrtyat/cfD7L/Pdf4PW/61SROat2P//0E/9vx/ZMzsqhgX3J3vgz3FgVif4oXViYSqKEesIEytTfUhJHkRDj2wJc0FG1NdMRRN0In2xPacKGzO0GN5rAcq/UxQq0CvJ+FGRLld0RzFjjNYRmgdkSmv/O0Xoy7AHtmOZopBadDYoTbIGq2hDoRmAqDOVhkt3JipxyPVmWgkULkYElZmjoPHzLGIczBALIE0xno+HGaMRZj5ArgtmQnruZPgxDXOcSENmSPWpAViE8HqnkKZieyAZGdDpDgb06h54p7acNxXHYq7clXYXqAi/LliOJHgJyl6CdrLY9ywMYXwGmqraO/uyVPh3hItNhPoduf7Y09FKHYWBWNHrhobE2mEQqyxQuA4X4u+PB0yA6wQ72iIQg8TVPo70KDJrGdnZAdasuP3xI66WDxYH4NlBPHuEHv0xToTxi1YxoWoDGS9BJlgZaIjevl3VZQt+sNNsTrZBZtY95uy/UbuQ5afArpdYY5oI7g3hjjSCKnQzfpuDnNFCz83qG3QEkxYjfZFq85JSW7RGUtIFSUDGtvlMpoa6YHlib6sd+5PKO5JkAkwNGCBvBcaAn28Bx0dZ+ylk7CnJIRgr6OD46nEQK8jfG/KCVZexbbxHO2RnljOMgjU9iSqlck5U0aPVuS4Zk2epEhljR8lqWTvxMQ778DM8YTWaeNgNX8y7Bbx/i2V2e/jYb9wMqznTIUJQdV01kQsJsyazZkC89lTsGjiRMwYO57HGMnMtJTf2RGYvM0N4GW2ADF0fNpztSjgc1QZ5YbGpEAUBbux7r3hsGg+FkyVmNn5WLp4EawtjOFsYw5/Zzo0hIwN7al4/+kVOEMou3CUnug3LyvrD4eexHefPI7Th57G6S/+hHPHX8XZr1/GqSNP4/z3r+HyaZkA9gEunvoQVy8cxOVzX+DaxcO4ceojPLl7EEVh3oRqf4KrGpn+XsjwdUN+EL/TuaOIkFBNUBUx/oHMRD6fWgKYzFT3Qz0htzZSg5qwQAJZMAaz4gkMQaiM1cPDZDHrYjSsWC9286ZhKaHfbuE4lMeY4KG+ELywOpGOkxrtsdYoCzBAZZAheuONsavCCvvXqnHkoST8+Fwhzr1aicvvNOPKB13KevXjPsLsMK59uQk/fbePMLsbP32xHaf3byXwBMJloUiJmSHd3wIFelv05mtwb188jr62kk7AU3hiWxsC2TazCI6xPvZwNV6IxdPHY9G0MXBYMhnRXovRxv7joYEYvLQhGS8MR+EVifPdl4HjfyzAqZdKCNfVuPphGy7vb8IPTxbhw03hOLQzBj/y968fKcPjHfGo0bkSOAMxQKdS1DNqQmSk0kuJ1+yM07IN+LIeZdIWHTT+X0mYy/eyQZEvQVbrgIpAO+VzSYATIV+L5WkhhF8fVGpcWed+6BLZLK6FAa6IdzZDlKMpaiL4jJSnY01pujLS2iLAG69TEhNU6zzREi0ydSxPjB//F9UBfzTQOSzxt6czIc68Co0ETYm3rQwhQBNUG2K4HYG6MdiDzmg8nllWiWXZBGQ9fwuVhA8SQhGEeknVK4kZ9ATHKJmU6cXnwgeSNruWz1Ylf/tZT7dA445SLfvdcH9+5rXTOarUE0AJpRLLXs4yiG5xHR2mYp0X6lgeJW03P/cm6dGXGIGupHAeMwClam/23SoUqRwhGtatdBYyve0QYjkfJVpnNMT5o1jjgmI6FxUhLsp3knxCkir8t4BZWf5GZ1Z0Sre9908g9K+DWVn+WmdW0Uzdcw1fXr71syw3biparIkDI9uIFm3DI9dx5q9GiP+MA7cku1R9t5QQ/oUwK/t+yfKl/3x8XtPuT64rWrGq3f9UD/+/kEfQ/+dxsX+9nHlR6uDneNr/B2EG/x7XeXv5T7n89sgsAWVzBoEs2RUb0mSkT0uA8sVwsic25QdhXaY3BmNs0Ry0FKWei1GlskAdgac7zAsdQS5oDXJApYchmtRmqFaZEnbY2WqkE7dBuqsRKmU2fbQ3wU2FJq0bSr0daGSdlFCEGoJUZaAValVmWB7nheFUX/TFuKI/1hOVvpYIMJuFuRNGwXjcnTCfMR3zCUVzRv8e0/7xHzBWsjv9w+8w7vd/wKxxY7F40hjobRehP12DuytjcFeemrDmimVcm8NtCXmWGE6ww0C4OfKc5hNkvQjO3tic7YNdhVq81FuFB6p02FvghxURtugLtybM+6KNUDgo2bOSvZUMY53hDugj/FZ7L0atxpRGi9CgsUSUgyECLRfBfdEcaGnU82kg69LDoHEwJ3AtRLDtYuSq7dES60v4DWG9BmFteiB6CZktYU5KnO6abH/WtQPr1AJDBPwBgv6A/OX5+iJc0RnigGqvJSjxXIpylTlKvE2RSYhvIdTKBBVRPyjzs0ZTsD26YkRxwo/Xr0IPnYz+lEDWMwGbxvIeCWlI8cOG7CCsTvfHEJ2WnjgftIW7o0Xngp4wD16jG3rCHRWNXRmJX8eyDhF6ldHg3HAacplZ7oRyrQsSvQwJA3wmEmlk4wnEYSrMJciMuWOUolAwdfwERWZrwuhRWDh7ElxMZiPMaSGKQy1QEW+NgnAzlEZaoo5wH+9mBD+LeXAxmoX5E34PV/51MpgJo1lTMZ1wPGH0HZg+YTSfhTvhumQWgmwWI8R+Ecr43GxrS0Il66shwRuNvO58UXoI08B9qQHmT54Mw/mzYWa4EFbmRrAxM4KbjQVCPG3QWxmB1x/qxDcf7sLZI8/i8g9v4+qZd3GS/3/55i5888G9OPHxw7jw9Yu4SIg9e/x5XPj+VYLs+7h2/gBuXDqIq+c/x6VzB3H9yhFcPf0x7t/YhqJIL5QQJGoIqq2EhYYYAqq8tpV4RJ1MXlKhOTEMrckRGMyLV7RlW+IJS4nhqI3SEkj8WScalBIqKgg+VXEhCHG2VXSXjaZNgBWB3mDqRJjOGY/M4KXYWqPCk8tisanEB6X+hsjxnE+H0oj31hiPtnvi5RVqfHlfMk79qQAnns3BiadzcfHNJlz5sBtXDw7jxlcb8NO39+DPJx7AzW924afDO3Hu0/vQTqfVadF0xHlYIF1lhbxgO9TR6VtRFYDPXxrE5W9ewFuPrIXWZiFS/GyRFuiEYDqtC+l0TBs7Ggsmj0WgHe93mDV2NYfj9Y1ZeHtLCt7ZHI8Pd6Tg6OP5uPx+La5/2oBrH7Xi8ltNLGMpvtiTgC/uicN3D+fg8H352FOlRR0dFBkxFN3YGvZBkmyg/VaYQSOfu1gPI9RH0sGKCySYBaObEDaS9Ure+rCN0JEoU7P9Ev4kG5i8IpfY2RpJrkBgHHn1749sGc0kUMrM/fo4DdYVpmA4J0EZYS0h6EoYQo8yukoHLkWH/tRgrMwOw1rJHJgUhAo6hKLZ3JcUQEcvGJ28t60xkqHMGbUhIvHFsvAYMtFsOR2vu6tTsDI/nGAt8a4aQqYWbUl8biTxgahhSCa4eDWBmwCrlxhhURERh8dfgddKgqoAqkCsaOdKSEA1naOmOEnyEEDgFOcpkACr5nd8xhL0ijJBU4waxWoX5Kpcke/vjnr+XqblMxsWAMlwVkfHQPRrC+g0+Fgvhufimcj190ArHatOSW9L56Wa7axJJoIS5OuiA/4Lwezt5fZye/mvtvwmzG4j9PWHETA9FhFe7LE5U481aWr0RrtiV0UEthYGEW5s0BxAcCOYDqcFYnNeGFYSWpoDbPibI7oIdB2h1qgg1PRGOKGDcDacHqDorMpo56Z0NdbnhLHzY8efQCOtcUOByk55JSeTiPK9jNEdwe1yQwi0KvTGuaI11BkrCVzZjsYIN52N7nwtaiM84DRvuhI3OGvKJMyYPBFTCbISnzllzBgYTR2PJDcT9BDGO0J4fI/F6A+1wiDL1kdA3Vupwd4KDUGOhi3EBqsS3bEuzVuR0Xq0NgXr07ywId0bW/h5Y24QNmRp0Kl3Qk+UG+HREpnexigK4F/nJUizX4x8H3PEEibVxtPgPnc8IpzM4LxwBuxnT0Sexo5gFQD3xQthM38abOdPhdm00dCZz0VHsg9WEI5XJniilM5BiZ8JtuZr8HBDLLZnemEV4XVIb8tyO2G5KCTEeaMtlHWid0axJ52GQDuU+pixTCbIcJtMqOT9o0GqDHFBQ6gb4ZYrwVQmswxIcodEXxpUyf4VgFWpWtZxANrkHhFSV2URBAiuMulsVSI/J6vp0IRgfUo0r533IJFGm/e0M9IFzbwntTJ5jQ5LdYQ3jaqEFfgS6D0JGU6op5EW4XnJOGRvuABj/jBKiYkdc+cojCWEzp4+ER628xDvS+cnwR672rTY2xuC+wfD8dRwAp4aiEdvkgcSPQ2hczaA85KpCHYxgKfZHJjPn455vO/TJZMXHReHJdPhazoHmWpb5AdbY01jJJ7fWYdlxRp0ZBJSkv1RTrgv1Pkg0NoUS2ZMhcHcmbAwWgIrgqysTpYW8LSyQGGCGvcMFeHga5tw7ujTuHjiTcLs+0oYweF3d+Hrj+7BsXd34tTBh3Hl+5dx9eSbuHLyHWXC19VzB3DzymHC7EFcOnMAVy58hYs/HsC96zvQEE+gSg2hA6NBb1oo+tL0WJ4The6UkBFYSQhGT1oU12j0pkcTlIL4jEu61TAFZksJszUCwLH8nttXEopTAnxgOmMKFk8cA/NZkkBhApZMGwN/y8lYX+6Hh3tjCFZOSHWcgzSXuSjwWYj+BEu8sFyPD7fF4qt9yfj64TQcfTAJJ18owPk36nDhrRZc/Xw5rh0mzJ68D3858zD+/MNe3DhyD84eeAzt2TGwnTcNcW5myNXZI09vh2ytDQZK/fDJn3pw6es/4YuXdiPKywxJKhv+7okEXzs4Gc7FwmmTYDB9EuzYLiJdlqCKDszKTCc81KzGm5sS8PGOZBx+KBvn9pfjCoH28geNuPxOE06/UIwj9yXh2EOpOHZ/KqE2A5tzREZOVAl8UaKWVNLyrNEBILiOwKwfnSpPNBDuepJ1kIxaTeF0SPm3LdoPdTpX5HhZIdzFBPmBDqgn5ElyAVEZkRn/PfH+GEjVoZfQ2EOAk6xdAruiS9vN3yTBiOi2iqKHJDwRxQQJBegmzErq54E0LZal69CXEoTGUDqGojnNfrJL1EYSVBjKDFZ+G0jjfSeo9iZqsZrfDfDYjSEESfaHDXxmRX6rmmBdT/gsUrujwN8FpVoPgixhkTBbE0k4pYNTHjwSMjASXuCNakJ+nYSnSGxrkA9XL/axbJ/cp5bwWyux1xGBaE8KRTn3Lw6h08P9RKdXRm5Lgj1Yr64KIEtYQWWIHNOTz3Aw6mK4jd4LpXJsZfKYxN76oIKOi0w6q9Y5s+7p3AY534bZ28vt5fbyd1t+E2Z3FPpjfaoH+vRWWBXrjO1Z7Myj3VEuElZRzhiIFYhxQoLjYqR4GKHQ3worCHmbM9UYinVHDw3bYIwjIdZBgeH1iR7YnOFDKPJCV7gDavyNCF2mKPK1QJaHGVojaVTYKcoEDSXFI6Eo1W0pYq1pfJ0WocBtMfqi7dFCGG0LdUA7jWaDxhpdsYRKHr+Ax8jwtkGYozmiPW0R5WpBWFkCk2kTsXTSBAQsnYPqIFuWm0CY4IShOHt0ai14HEvsq9JyDcHdxTosI2SvTPHBMKFyQ24wNvG6O4IdeC2eWJXmj94YDwI5QT/eh7DnilJCbFOUuxITWqdxwECcD1pCXdAeJykqvVEb5Ki8rsv3cUCMrSHyZYQ0wgUpruZQmcyD5ZzJWDJ+NNzmEz619liX5Y9lkfaIsZyKMPOZGEjyxjNdqXiU5dubF4BlBLTlEc4KVHdE00AHO6Ml0pPOgI7nDuJnJ0KKN5bTIA6nR7B+RN7HnY6ASgkn6IyiESIEd/JetnNdQUO7Ki0I/dE+vC+u6In1xGoee3tJFI23N7qjZUIfnY8UFfqT/dDD65LQi34JUeD9b5J453A3lGgd0EjjWxnlh/wgJ+RJvn6WrZmGWxIt1Cli8Wr4mBooGbhER3bMqDsxYeydMDeYjjjVUlRHW2JdmSceHdTj1R1JeP+BHHxybz4+vDsXu+uCCbqOSOFzE0FnJMxlMVQWs+HEfU1mTcS8SaNhazANGtsFSPQ2RVdWADY2R+OVh1rxzYfbsbU9Ab35OrRnaNGUGkgD7YkoDztYzJ8DgzmzYGNuBhtrS1iYGcPezALOpmbQutmgLkuN1x/pwQ+fPYJLJ9/Gue/ewPnvXsW3H+/D9x/vwYlP7sV3H+3DhWPP4OoPb+DKj+/hwvfvEWg/xY3Lh3Ht4pe4euEQrl8+Sgg+gIc39aIpPgidhFDR9pQYyU4C0kAGoTZdj/4MPYZyIjCcG0vIicVAeqwSUtAUp1EgpjJMjQKNH6qiglAayjYTp0VdbDBK9Fo4LpiDeaxPgynjsIjrvAl3wGXxOLQl2vP44igaIN11HrI95vO5pUMXb44Ha93x/qYIHH8wHV8/ko7vnszEudfLcfHNelz5oBNXPurEtUMrcOO7HbhBkL35/W7C7B5cOPQk+ktTR2DW3RS5bCOZwfaEWXsMV2vx+UsDuHL8WXz/zoPIZXuI87ZEQbg3Mgk1ahtjRX3BYPpkOCyeBY014TrQAL0JFthb64OXhiPw0V2E68cLcPaNSlx+txbXPiZYv9+Ik8/m4/B9ifjmkRQcuzcJn+9Mx9oMV1QHu6AxNoBQzDoh1LXEqglf3mgm0ErygeYIginXHsKtZLySUdluAqcoHNQRFlsivPgcEwJZxooQDyVWVVJUN8pbCbavpihvNIVJ2yHQ0TGUZDFdbOvt7Bfa6MS1RHqzX+RfiTOP9EJroloJB2gIVSmQuq4wmkAbTKcsCL2EwOH8aAzlhqGG7bGcbUcyBXYQaMvUdnQAXdHNNtob76tAcjPbVCvblkzwyvVzRqGaAEv4LNN6KrG2RVpevziPBPhKAmhREJ1sAqeiuRvC6yLUVgf7okpAV6dCicYbNfqRmF35W0owbo4kzMbolN/yePwSQm4RgVaAuJJOggLMrDcJF6inYyXZwxrpDEjWsb60SAwVJCohBwX+Dkr63M5E1nEc+3EdnWleUxn7g9swe3u5vdxe/l7Lb8JsU4DEaTpjdbI7lkXZozfEVkmYUOhvCu+lM6CbNwOhhvPhv2QOfBbPhOOsCYhyWIwmnRM2ZQaiSWWL1XES1+mFlfFuWB3vgtUJhLwQG4KsiRKaIDq0tVpH5HqaoSLAHh3x7HT1bkq8VaKrCRIcDJDrZoI403lQL5ykxNr2ZehQqbVGhrMB4u0WI81xPso9l6BV58DjuSkjGetyQzGULhOvHJBhNx9BxgvhOWc6UiwWYGWcK3rDHbGcoL65KAhrZMQ1R4UtuQEKSA4n+yqvzAcSJJwiDGsy1FiXHIBhGUFJVmEZga473lOR2hlI8kcfv+8g9PUn+ysQuTYrCCvTAzCYEUCj5Y8hwtCWogisSglEv+yT4o9V6b5oi/VVJkmUBjjweu1Rr+f1h7miK8QJJQS1KrUpKv2slHCAfVURuEcmneWplYQTXQTWlYTcQdZXN4FZRn2GcuJZtmBCrS8Gk3yxJku0LqMxKJPS4r0wxLIOxvmhT2Bb74QWgkc3IXVFsoCsF9oInv2xHjyGF6+L18drHOB1NfNc4rS0R9PAsk6aCSYdXGVy2LAkSODfChl50TiiQu+JLJU9op1NEWFngGI1ATfSQxmFGlE4CEKkkwXG/uEPhFkC7R13YvKEUXC3mo6MICMaf1tsq/HG4wNavLI1Gh89mIGvHi3Awb15eLw7EisKvVAabkE4MkeM2yIEmE3jszgFrosnYdH438OBz0iE80LkBNtgXX0Unrm7At98shM3Tj6Fh1YWoidfj7aMYNTyflYQZlID3eFotBQLZsyEnaU1gdYclibGsDU24/fG0Nqbo5z39JmdTTj63h5c/PENnPn6RZw58hROf/Ygzn31CC4cfRynDj6Ki0cJswTdKyfex/nvP8Sl05/hxpWjuH7xK1w5+wWBlmB75iCe2L4cZYSEylB/1EaJYoG8uiXwE0aqdHwetB7KpCWJfWzj73UhQWiKlFhMLWoJJ42SCSxKTYgNRmmICi3JEaiP1hGK9NDb2WD2mDswl86RwOz88aNgO2csSnWmBKClCDGfgkSHmagKXor2KDM+P2Z4pN4TH22JwtcPZ+DYQ8n49okMnH+zEtc/7sCNAz0E2jZc/3IVYXYnbp66Dz/9uA83ju7BlaPPYmVNNuzmz0CUmynSNPZII8gK1K5pDsOX+1fj0vFncPqjx9Ceq0O8jxXyQ72QrXNFlLs1rOfMgMHUSbCZNxV62zmsE0OszLbDswMh+EhJZZuNrx/LwYnnCnDpzWqCbBPOv16Jbx7LxFf3JuL4w8k4/WwxvrgnG+tzZJKVN4FPJmOxTghYlYS4Cr3UsyfhS0IFPAhakvLWkxDmp4CrJCPoStGxrtVK1qxOPp/dAqGR/I3A2hjmTgB0QwM/KxPJxAmJCkBbBPeLpdOZJnGlMuFM0sIGKH8lxXNLDOEvnBBJCG0gMLaKdKEoGMSo2Hfw3vI4q/Ii0E+ArWWb15nNQ4HaEfWEP3mLIqDcEObEe8/2w/bdQOBuSFArCSCak/jMhBMoCewyWatK7wXJelZD0JWRflHAyA1wRhGfpUKtu6IyUKFluyGwSiauGsJ1I/dr4nU0RhKQQ31QpvHgM0b4DA9CeaAoNtAhiFYrcbXVhOICX2dFAaKB9Vbg78r+yp31F8jnVmCfx5IYbm7fTGe5LMieNsJ2pD/QOKNcUgarRaPc/jbM3l5uL7eXv9vymzAbsWgqilWmWJujxirC6N00SMvjnAk7NA7+VkhcshBRS+cj1t4Iae4WmP67f4DJjDHID7DCfbVhWJ9Goxy4BFtlkhQhbE2iD5qCbZGrMkExgVhSzdb4mKIuwEYZ3ezj7+1RTijyMEa221KkEGTzPUywKU9LCPNCiMlcpLta8TcLdpY2iLM3hOv8idCYTKfhscWKNF+U+5qgk/AkECaTvroibLE8xkkZQVHSVRKe+5O9UeVriUp/Owyn+WNneRg25QRiW7EeqwiuK5P8CO8e6CK89Sb4Edq8sTE9CIORbkqIxRrWR6+oABAQ5Xi1ARb8LCMo3jR0HuiLccdQig+GEn15DAJhagB6Qj0UuathGr82GsnSwLE0nD4EVYK+xKby+GuzddhSGIv1eQkoC3SiofPHtsIU3F2Zi9UE07ZQe/SHuymw26h14LXyGiQGmRBfFyOvGv0IyDSyhO2GWHcaaje0s9564z3Qw3L3868oQ7QRRAfjJAmGTIpTYWdJGLYQuNcSslemqrAiiWUnKA/zcz+P2xXupCge9PGYrXoH1GtsURdohc5oN2wu0CmZzWq0LqgOciYkuSKL9SqjomVB1oQCRwWkBySmloZ7OCtUyQQ2Y/xYJd3smDGjMWH8nXAxm4r0QEP0ZTrjrmovPDOswxvbQ3H4qRz88HI5vn+uEh/tLcSuFh368t3RX+SFjAAj6AhBOsu5CLaaR6CdCo3tQsR6LEZDuhf2DKXh9UfacfG7p3D1xLO4b3keqhP9UZFAkI3zRz7hJs7DDn62llg0Q0ZmLQixprA2MoKtoSnsDY2gseezxnv68JZaHH73Hlw58waP9xxOHrwX3763HSc/3YPTn9+PM18+jrNfPYdzR17Bpe/fx6VTB3CVEHvz6hFcPfcZLp8+gOuXjuLKyc/w2JYelMpr22BfZPl5Kfqc5TKrnhCmpCgl2Iq8ksg2Neo1rFeJ7QxBY4SAii+aEm7BTGwwqiPUaE+KUGaZtyZEIE+nwcKJ4zBr7J1YMGksFk4eB7PZExDpuADRTvOgMpmIVJ8FBI3FqNYu4v22witDOhzcFYcTf8zBNxJmcH8SLrxZh8vvteLSO824/HEXrh1ejZ9O3o+bJ/fh5ol78NM39+Hy4acxXJ0Jd6N5hFkzJBNWUggxaWwPW3ticPSdjbjy3Qu4evR57O7OZV2bo0iAMswLySoH+JosgsHkCTCbzjZsMUMB7LW5LnhtZTwO7cnBZ3tS8cW+RBx7LA0nny/Axf21uPBaJX7kM3H0oTQcfyQVZ1+qwKeE2cFEV9RouEr9sW4bIkVGypMAKDGhnihROysz/fP82F6CCXUsQwHbWDlBVUYROxIJZBJuEOLGZ9yLTqcaHXQ2G9iX1McI2AVwmzD2hQlYkRqBNdlx2FCYQGdVJMHozEl6Wd63KrbBzmQd9yM8h3sSCj3RznvZRUhti/JmnUsMu4r/C+S6KbJ1bQTLMHNDaMwXIsXTgvuIIoMXHXfCIJ2DaoJtFc9RFeGHkiB3grha0W6VcyqKAjKyzPKV8joLRE9WLSlk3ZTMX7lBrshgXUvZJHWvrJ3xwbwWLQHWHbWh3jyXHwoDHflseaFB4m/DRT2BYBodRDj1V8K/aoPpZBFMJWxDRmqz/FxRRKiVN04dktwjgs8jzyGZyErDPJCqskOCmwkdM1clflfimKu1/5UygN1ebi+3l/9qy2/CbIjxbKQ6LUCp12IsT3DB/WURaPA1xLJoB9zXEIkuvR225GrYwVoj1d0IRqN+D43lHAwS9NZk+mMF4W4owo1//XBXrhoPFeswnOiB3lhX9MW5oTOUEOZpjlpvczQEEmajCIZ+xmjg8ToiXFDoZY5yPzOCqRvW5RNCdNaKvFcTjVSFnwMiTRbAcfpkeC2ciTyVNQayJZ6NYOBlQtizR12QDZpC7LAywQPbi0IwlKFSwhFWJnthW224Ek6wItmXoOmijMZuLQpFdwwNW7g76tRGBE13wqcvVmdqsS1Hg9U8juzfGWaPgRhXltENbTQ0ktlrR0kC1uSHKa8la0Mc0aR3UkZuVxJCV+fqCYNeWJunx8aiGJ4/kPVJaEwLQk+inxIfLKLpIrXVRhCuI6xWElB7E3xpODVoCfdSYs4adDSENMS9Yay7CGc0hhAqea5qnquBwNWcpMaKvEQsywilkSHEEsq7CLPLZFSW8LqKED9Mh2EwyhO93H8wxgXreJ+20ElZkeKH5fx9vVxvvCtWEHTXJ3piWawTHRkXbMjwx9aMQNyVFoi1Ua78zp2OjSe6+b+kwBVFBEl20UbYHqCB7iHI9xGIJaa3yd9CyV4mCgkDqWolVs9m0TyMvmMU7vz9HcrIrJXBZKQHmaAt3QEr8p3xQHcA3tkZh0OPZ+KH12pw9u12HH+uDi9uTsOu9mDcRahtTXNDko8REjxNEeNqhBjCUnGkO2p4zXf1JOPD5wZw4vO9uH7mdfx06mXsXVaIwggv5IV7I0PniuIImcCjRqyPE+ZOm4Z5s+fAcP5cmIlMl8FCOJoZIdCex+Qzd9eyTLywpwlH3tqEEx9sx/G31uPjp/tw9M1N+PGTfUrM7Jkvn8K546/g4g/v4dLpTwizB3Hj0heE2EO4IhPALh7GyaPvY/fKVtQn6lBFEMjwlRnmdAZC5dW0P6pD/dCRrFVy/rcRHHrjQ9AezfsZqUdzVDD60iWuNpxQEYzGmGDUR2iVUdkWgm1nShRhKhxOhksUmF00aRxmjx+DJdPGI5DAH+U4H0mei5DqNhtlAQtQH7wEy1Ms8EiTJ95YpSHQxioZtc48X4zLb9fhxxdKcfLFClz+tAc3v1qJG8fW4ebxjbjxzTb+3Y1zBx5EX3EiXJfMRbS7OZIC7ZHgb40sjSX2rIjDsTdW4tLXz+DykefwzNYGpPpZKioSRYSdonBfhDtbwGjaZCygY2M/dzzinGezfVtgR6UPHuvU4NkBLd7eGI5Pd8fih2fycfblKpzk39PP5eP7J0SLNlf57oPdOeiJc1FismXSV4skAYgkWLJdNdJpEVmtyhB3VCrhS/5o5j2XEdOWaF/u44MutpsuOlq9ksI2wZ/tPgjLkjR0TgPQSMCrlXhQQmAxVwmVEWUEgbjWmCB0JdKxkJS5ESrk+jvxWbRFhrc9cgnN1QR30XOVdLbdCaLu4cNjjejRthAgRSlhgOfsTZbX8SqUsH0X8rmUVNGic9vK7SsJvyIvJnGqNYRIUSdoiqJTLuFEIn9FgJWQiEoeTzJzlRBQRU9WMoGJZmyZRuBekjSoUUqwrdSyf+FxGmTl9lUE4lpeUxnrptDfmX/ld18eV5Qf2FY1PsrIbQWhVK6/gEAro70didHse9QsTyDBXRJLqBR1hi46D1Usa4CVISxmT0SInSGaJLlDUjDP7XobZm8vt5fby99t+U2YdZk7GTbTRyN48QR2xl4KwBTYzEQtDeLGdE8MJbHTJaSEOC6G26LpiFgyDUXexqgnvNSozLEyygn7ysKxrTwOohPbo3fE6jQPBZCWxzpgKNIB/TpHZTLTugR3PFwWhnYCbrHahh2qxOO6ojeS54hwRavWBl2RTuz8RUicRkjvqkxkKg2yR7qrBaoln3qsl5KSNtdmEZoCbZR0ri2hjgRHmbxFuCYUr4xxYtm9sDkzAP2EsF5eU1OgFQajPQjgNGrhrgRGT/QTVLdkEibjnNEd5oy7Ccrb83T83QFNGnNlpHqQALcmJwJD6SG4uyQX63LDMZAsBsAR9SHOitD56uxorOY2y/j9cKYOy1NpMGM8sIoAvCZFhNxpqGjcRMKqn+XsFuF2Am2PjKjGuqMryhnVLF+hr4USk9ctozy8zuYYZ3TGs2x0DHrjCZ28D+sLQwjtSViZRuiJ9mYds64IuSKR1iejqxFOGOK2G3mdojsrsb198TTmPFcbj9lNOG30N8ZwlC32ZHvigXxPrE1yxHC0HbZlqbC3OAz35oVgFyF5W4o3trJON6QLmAu0yuxrNzoDnopI/JosLTbnh2JDVijW0TCvTCIkZ2ixJk8m+2nga26EsXeOUrJ8TRk/GqbzJkHntBAZAUvQk+uCe7t1ePPuBBx8JAvfvVKPc+/14czbvXj/3kLs7dTj3t5IbG8KR3m4I8oI0PlaR2RrCfV0CAbLIvHktmr8+NUDOPvtcwTLN3HzzBt4dFMjUgMdkUsAyOfzUkFYaCC8ZNDIL5oxFbMJtAtmT8eSRXNhbrwYLtam0LvReckLxu6BFOxeloT7hpPxyt4KHHqhH1+8PIyjbxBu39+F7z/ci28+vA8nvngC50+8gcun38eVMx/g6tmPcO3i57hyXmD2K5w8/h7uWtmCptRQNMUHozpSRlYJqzGBimZnR3wQ+tMjUC9C94QGZXQsUkdw0dNJ0hF0wwhe3DdaQ2Dj/vpAwg+Bjds1ijZthB56JycsmjwB8yeOVWB2/qQxsFswBeEOC5DutwQ5nvNQrTZAW5gphpKtsKvEEU92eOCddRp8eW88Tv8pHxderyBAFuLSOy346ash3Dw4iOuf9eKnI6tw7dgG3Dh6N05/sBetvA53Q8KspyVifG0VmK1JcmNdZ7Be1uHi4Ydw6fAf8ca93UgLtEBxmCtK6UyVEiTTCF3282ZjycTxsJk5AXqLGYROUwwk2WNrnhue7g7G/nXhOLBHsoIl4viDaTjxZA7OvlCsALdkKjv/Sg0+uicPK7Jkpn+gMqItsCiKGpXBrkqWLRmRlbjYzlgJH1CxvXmzrv2UEVn5TUJf6vWebIPypiQIazJC0M+/TWybVXQeZSJjBY+V4WejvD4XKJVJX5I+VmJZ26Ml6YCERxH8BKIJhxLf2k1I7mW7lzLU81gNUV6oktFanlNiX9vpgEjsbgOPM5DI54D3vjudTgr7Hgm3knCFzgSBRW9UE8ZL1TIJTCCcwM5npZGQ3cq/Mr+gMV6Del67hBtU8nuB1cZwOkfBvoROURHxJdhKumw35blqDGa7j6aDmRGMgSydEobRSCejmWWTyVt1OkmlrSbQalEe7I1i7pPm54A8nRsyVQ4oCfGmsxWNvCA3Xhsd7tgQVKglNMIH2QHOsJo/HcZ0omxmTES6D/vi6EBlpPg2zN5ebi+3l7/X8pswK5Nr/BdOQYzJDAxlBGJDsgdafBehhwanm2sPoac+xA6+/N106hh4zp4ArdkMOC2R/PezlAQGXVGuWF8cpYzK9Whs0B5kjOVRNtia6YbHSzQEIhWGY12wOskdw/HeKAmwg85mMQLN5kOzdAYadVbYkOSFFrUZhghwW1IJUVlqRfN2R5EeO0sjsYwd/97yJBrlRNT5WaHYdamSNraRxrNCZY0egtqmbAJVogch1REDSvYqHpMA1Bpshw69NQHWWhkZluxWHcEqbEmPwTYCbI3eBtkeRkp2stVZ7PhT1RiIl+w25oQBV6ygMZAJIpL1SpI5dEVx/0gPNIU4KMoBMvu5L0WDVfkCvVoaapUiL9bF37poNLpjAmgYaZzCJUGBO7oJ2AMx/C3SGb3RLoRNV3RHOqIuyIpw64uV2cFYlR2IgQwVVuQQyBM80Mt1eRoBszwSqwjMkqRgWYwXlrEsQ9xnOa91ZbIvz8trjnBBD0F6bY6OcBmMdXkRWFsQiy1l6YRbQnKgGVbFuWBvoQ+2JdlibYID1iV5cH93Oi8e2JjqhXuLCLRZAdjOc25OVmEj4XZDRgDWsUzrswljBNqVhOXthYTAijBsytWgh3W+LNFPgXkx/mHOVpgybhxG33EnYXYM5tHwWSwk0DrMJAxZ4+42NV7dkYiDTxTgxP4WnP1wCD++NYAvn2nEvq5QPDKcgBe2lGJHayrW1sSji8BZHu2JFsL1Zn73zh/7cemHlwiyb+P8j2/hxrl38NGzG9DI+pdRrDy1IxoJ/E0JKmSqnWFMiJ0+aSJmT58CQ8MFMDdbAmfCbISPC/rLo/Hsjhq882QTHlufjEfWpuCtB2vx1atr8N17d+H7d3fegtl7cfT9vThz/E+4dHI/Lp98S1E+uHrhAK5dOoTrl75iWT4gzDaiWgT8YzToTA5VVgGq7mQtOghd3UnBhBYVQUTkpUSKKRTN8eH8n2ucHi3xIWiK1RKaCC/halQKeBBmRxIphCFbEwiT2TMwd+K4kZXOgtnsiVBbzkaarwHyVYtRG2yCplAzrEi1xU7C7H2VNoRZNY49lIQfnsjAqecLcP71GlwVndkPu3HhzUZc+aQPPx3fgJ9+2IE/H78Hp97drWSJclo4C8GOxogg0CZrbNGe54dXHqzCj59swvkvduEygfaDxwaQ5GuEAr0TyvkclhFmiwlmfqZLlMmZtnOmQMs+I8fPgFBpjS0FXni0LQivrQ3DgX2x+OjucHy1Lw4nnsrCuVfKcPalUsJsGS7sb8B7OzIxmOKGWoKWoqAhccXhArECq6KJSlhM1mFZushbyeQtHwKhP9s2YZRORCfrXWJkB5IC6XQGYgUdIomF7U1m3ScQSNP06BflCYJrtdZZCVmS2PcGwl+NhIeEeihSWl1xgXQuCc2JGgxm6JV230tIlZCHap6rNswdxUGOSsyuyFoJbNby/0YJ4eF5RT1hIIMOb1oQBtN1yuh8VbAzy+nEa3NGewz7nhS9EvsrsfaSzETUGJZnyGTBONTyPOWEbiU+mMDeyWdHAL6OMCqju2UaT6S62yrJEkoCXdAQ4obhtADsqkvm9WqVkAdJ19sdF0BnmuUW6Gf/VJ8QgtoEPSHWCRk+dkjzsEah1gMlel+k+NqjkMetiQzi6q+EKyR5WUJrsxRJKg8kuTvQSTFAnpYgzeP9Z4bZSdvib6+31/8267Fjx/7Lrf/W5Tdhdn22P9JtFqE11BGdBKtBvSWGg5egzX8xhmOssDHDjaDoiBKNHbRWi2A2fRIWTR6N+TMmKRmabKdNQKrzUgxnqLGCoLSO8Lsx1hbLIiywPNISG2OssTLGFk06CxT7WiDcdgkWc59ZE0fBfM4kmE8djxDLuajQ2qCJsHlXWTRe7ivGUBw7dsJkB0FURgU7IzxQqrJHnps5ku3mo05jhbYQG8KstaI40E+AkUlSMuFpgJC3SiZCSSxrlCfL4YS7eJ2rUzzQo7Mm5ErMqw/6wj15fFtkeLBTdlnC4y5EscqCMMtjcZtSX1PCquhCOiuTnzpoAAaSg1gW7sfjtkbL7GhXwq0nenn+ZZkh6JFc8TontEa6Q1L7NtOodsWo0MHyt0rmLL0DGgKkPmzQw/23F0UTBiOwq0iLnWU6bCTEr88LIoSqsDZXxOH9lLJUau1QHmSHHhrCzqQAdLDsTSESG0zDStAXVYVWXncnDXAjr7shyp2G2Z1GU4Nhgfy8EKwgJA8m+ijnbQu1xZoMH2zO8kIHnYmGIBs0hzkg12spijwNCa4q7CnWY3Uq4ZrXV+IzAQMSXxzjgq54d16PK+vXHesSvRRVi944b4I/f+M55X600PDHetpgFuFxvCRL4Dpj4ljMmzoKLkvHoyTGFBtqPfDC5igceCwXP7zehHMfD+PUWyvw3asD2H9PCV7bXYZPn+jHVy9sxtNbGnHv2ip0s0xtab54YEU+vnhpHa4RYK9f/gyXznyAm+c/wlevb8byLD+Uhrgi2sUMBayzKjoiecEe8Le2xIxJUzBj8hTMnz8LpkYLYUXQ0vs4Y1lVIkF4FU5+eje+e3sNDjw3iIMvrsK372/Hj5/uwbG3tuHbD/fh7LFn8OOXT+L0kWe4PosfvniKUPsWz/8hrlz8AjeuHsFFgvXdw3Uo10sMdzCao3W8H4SelGAsywhTAKo7KYj3TM17yrokuLYRYAVou1LCURdGuIhSozZajTIeQ+STRFpJRmqbooIITlrUJ0bC3cRQGZUVrdm58nfSePgaz0KG/1Jk+y4m0BijUkPHMs0O+2o88VyfCgfvicP3j6fhu0eTCa8VuPRuvZIJ7OyrNTj3Bte3G5UUtz99dxdhdg9Of/wAWlMjYDtvOtR2SxDqboK0YBusbAjHgRd7ceJjwuyhHbj01T589uQKZOvMUKR3RmWsD4oJj1XxgQi2M4Uhy2bCPsNl0WTozKeiNNCQz4wV7m30w2vrQnHgnih8encYDu4IwenncnFpfznOvFiAMy8XE7Tb8eaWNHRF2xG+PJQY1RquFcFuymt+yfBVrXFX4j5F7UOSJchr80qdBzK8rJXX6xVad1SH8tlMUaOToNqg57NKqFudrseWkjisKohEX2owOmMIjsn+WJGuUd4O1elc2K58URvqxmO6K9m+SgLsIdnAhrPC0RrlQ4fBHYV+diyXD7cNVOJr5fW/xNNWaZ2UtzjyFqopwo1lkphf9heE2iZCZBXLmUEwzPe1RDud5U6RGWOdScKFwkB7JUxCRpxFKaGXQF4fTohl/1PH8kjc7DKWfzCFz5eANOFX4muLAlxQHsJtWJ4ylQ2vif1jqgbVrKdCnquVwN1KB6Ca/YfUSYHGBen+EnfrghALtv9AJ+X6RCmijNeSRLDN8HFAGR2qEo0rct3NlDooIezWRUkYjA//eqBY5Ln+k4/M/hoQ3F5vr/9V11+Dxf/s6791+U2YLVKbw2vuVCQ7L8aaVB8MEhC3JTqiX2eOOh9DdBNuB+Nd0R7pRuAzhvWi+Zg8ejTmTJuCyQQU18UzUR3hiMFkD9QHWGKZpH5NckNrsAV6CbP3F7liOMoKRd6GyPaxhMfC6Vgy7k6YzZgAY0Kt6cTxcJg5FarFMxBnb6C8cu0kGHZGO6Mn3AGlHsbIczVEPoEz38scjTILWOLOvE35PztqguqKVH8aJi8U+1gh3toQ9QTP4WQ12vWuaKZh7WZHO5zgiT4CdpXXXHRobLAmRaPo6W7ODsIyGrhE+yUwmzQKIUYzUeljriRI6OU+7VFuhFIXdMTKKIhKgdV2eX1IgyJZzkSyR6SsehMk3zsBhSBZL1JVhLqOBD/UE2p7CJjLUwOwNk9Dx8BdydZVH0yDEerC70KVUeXlif50CLQEFRfkqEwRRcDP9jGhQaKh9DGjwaaxpAGr0LshP9BOSb9ZSciu57VJljFZizT2/J1/tQ4oJpy28lhbyiS1qRr9dDSWcZUJamV+lkhzWIQ6rS22ZBO0QyUNrzfWZwXTKFtBbzOP9cZ6TfLBKsK0jHIPhPJ+iMoEgXaIsL8q3R8DrKO1Sd7oDiW8E9wF1ttZnv4Uf57bGyl+jlg0YwomjRmFKePHYiqBawadGMuFY5AeMA9rKl0IszE4+kINYbYNZz8axvmP1+HM+6tx9JVufPpMB47v30BQegKHX96J955cg3tWFKI7LxCPbCjG129txbVTr+HKmXdx9dwn+Mv1z/HJH9ci3HQhjAl4MyePw1Q6XI4GsxHv4YBINxcsnjET0ydPhMGCWTBZMg/WZgbwdLJGSZIWHz23Fue//CPOHnoYJz9/AD98eh++eW83fjxwP46/eze+/eheXPz6BZz/5lVc/O4VJXHCqa+ew/nvXsc1gvTl8x/j2uXPcerL57ChMxulol5AiM3z8yM0qNEWq8Wq3DjWXyhBVoPmGDWdJDo5MVplhnlzlJYgEwrJtd8QLbPR1SgK8eZ95fMS6U+wURNcItlGCMPZ8Qh1tsK8iRJiICOzY7B06gQEmM1BsqcBsvyNUBfpgGyv+WiLNMLuKnc80+OHA7vj8cXuWBy+LxbnXinGjU87cP3TTpx5tRTXPm7DtYMD+OnYRlw/vAbXvtiMMx/dh/asKFjNngo/y/mI8jJBRaIrdg+m4tPnewj6m3Dp6N24cPge/PD+VtTSCc2SZBUEqFw6EMXR/oqqgalI500ZD/v5ExFoNEkpV1e0MbYWWOPN1Toc2RuPr/bE45sHUnDhlVJcer2UMJuP86+XE7jb8erGdPYJTqwnL7YDOppBziijw1JJqK0jcEkWLplp3xpFmCQgSqpZSfUqk5OaoyShiDfKtWwbageUaxxY7w4EfWeCayjLEImhdDXvkRdqtJ5YSWhck6bDUIJI9PkqMaLNItUV4QXRdE7zNSeQumI5QbKL8FrH66wlWDdHqNiGw+nYymQpUT/xQzPbv6igtEbLhC9uR8dKYntbCbJtEl4SxWOLcgLLviYvhn1IKB3SIJSzj0um4y4pdRV1C5a/nvs1Elr76VCvzJYUtPIcBRJkvVDPfkH6oxpuUx8dwPNIPKy3ondbx2uqZj20sW8SJZiV7PNaZSIc666BfVopYTTG2RwpHpZoIcyLdGJPUiD6kkNQHuGLAl5bAR2Cqgh/BXQl6URloDN6Y4NQxX5Hkia08twF/taK/NhtmL293l7/Y9Zfg8X/7Ou/dflNmF2e6g692VzYTR2FXFcDtAZaYEWEvZIydVs+DS6htlJtig1ZBMYIZ/iZL8a4f/wDxo8aA8u509BEsNnTkY71mQHo0tljBcG3JdyeHawtthar8XBzFFYku6JOY4sCL2uEGM9BnMtSpHtbIN7BGFlulmin8UmyN0S45SKUyOirrxXKA6zQToDrDnNEkZsxir2Mke9O2A2xJzD7oFXrooygbC6LJGi7ojvckVDGDpZQW0eok3jbZp0zynk8mfSxJiMC3TrCr95uZFJYlB/LJa/MAxX4ynAygi/LpmVd1Ic4EHBllMQdzaF2aAl1QBPXNhqjofRgnleDwTgVBmiwJSxggDDbqLdHLY9do3OgYXNCb1ogBjJ1qOD/TdE+6IpXYTWNyHAWIZufJdRC9CoFfisDbZTXpzIak0J4l1GadGcjlBBau2IDFUWF5Sm85miR1vFEqosZimmYm2I80EaYLgmwRWOYK/LpLMTYLkSK21IaFWtFlWBbWRR2VKVhdaof1qX6YjieBoxlLPEyQ5a7CZqDJVe9hwL8PTS+VSxvhd4dWa4WhMK5ykh1c5AtBgnnTWobJQNcWwivj9u3h8tMbQm5cFfCLWRSXD3Bv4H3oZpGP5sGz3TeLEwaLTBLsCTQSvYukzmjEeEyFStLXPDy5iR8+VQ1Tr7Vg3OfrsGlg5tx4bMN+O7NXhx6vh3fE5CuffsnnPr0Sfz48R/x9qPLsKk9AfcRZr96Yx3Of/00Lp8iTBJor5x8A09tbIDewhDui+bBdPo0GM6cDqeFC5Dk6YjMQF9YGizEtEkTMWv6ZMyfOQVGhvNhb2WJOK03/rSnC+e+fAoXv3kJl75+Dqe/eBRH374HZw49itOHHiHM3o+L376Mc4TZyxLWcPFjXD3zCS6ceBcXT/L8Zz9QJoMde/tR9BRHIF/rjmK1H8FLJnrpafB1aA3XEPiDUBcqk3wIX7cmGLXw/+YYDXpTowlOwWiO1yoZm6ojuS3XFm4nE5AE2OrCVQSWIDoLblg6fRLmThqLWeNGYfHUsXBfOg1xArMaE+QFGaNUY4TuREvcXemMx9vd8cnOKHy6IwLfPpGOE0/n4MoHLbjxWRcuvluHKx+346fj6/Dnb7bj5pENBNuNdDDuo/MQByeDOcqobC7bY29xEB5clYNDLw7h0uEduHRkB859dQ9ufvsoVldHIk/niuq4AJbBDZl8rlNULrCbOx1LJ4+H3ewJ0BhPU3Rwm8OMsCnbGq8OaXDw7hgc2pWA7x7PxbkXSwm0JTj/WgkuvFmLc/vb8PKGDLZjQiDbfk9SEKplln+ITL6SiU8SUxqoSJ4VBzgp39fRkZCY2eYY0ZxlPYt+KiEt19eOIOvI/smdfY0D6519Q1Y4lhHemmXEV8M2z/2bg12VOQDdBGEBvyYep0rvQRAVaCU8c22WEAduU66RZ95bkfLqo5MiE78a+btMZG1kG2lhu22IlphUQmC4BwGQn8O82K+w3MpELR+2Y3+sYDlWZEi8eQAq2b6T3S0Q62SOYnFueMwKSR/rY4veeDq+6SFKeFNnPPuHBDWvRyadufOvSIgRkgWWWfYeSeYgShhBAtwC/t4oC/VEKZ2kylA/lLPvzQkirOr9kKNmWXnsjtQQtLOOJSymiE5DBR339mQ+o3SuagnLMqlNkkSsTotif+eCMva34mg3sj7aCO23Yfb2env9j1l/DRb/s6//1uU3YTbFeB6izWcjwng29AumIG7pLJS7G6La1xhr0nyxLs8PRR4GCliWe5nDZOI4TL5jFGF2LBwXzSIoheOFvmw83RSF+4v8sDzSDlVqK1QFmGFPWRzuKg7DqgQ3DMqoHQ1BucoaBX6WKCcgZbsuRZqLIYpUdkgh4PotmYGgBeMRLkAZRIPjb4GBSCe08dx9MexU/ZYi320hCt0MkWG3mADpiuGMYNQEW6PSy2hELSHaFR3hTgQ5R6wT7dd8LdbnBGGInfFwgjs25WmwNicANV4maFCbY1miJ4r8rVAWYIN0F2PkErIHEr0xxGuv19qwHGbojHRAQ7AD2mNFwSGUnbgWa1ICCIcB6I7woAHzpGHxotGTGDUnFBPGBTpXZOrRGeuDJhq8OoJ1q9YBg4kqwowvKmjY6kJppHROaCeIDsT5EdxdsZzl2ZynxoYcrgU6rObflXQkuuM90EG47k1RQZIhiELCcsLpMkJuP8/fF+VGsCbsEibrQp2UkAFJZLEuU4V1+VE02Gr0ETo7w2Vmsxt6MsPRFEtjy/JKjGs3jVB7lDeNtCeWE9irNc4oCaJTQFjuDqfjwL+NdFaaCaxS3k4Cuehq1vKeVgTaoy7EBTXcvp6gLOmLJSNYCQ2sncF8TB47RgFZBWYnjsXiGaMRZDMZLclm2Nvqh7d2JuOHN9pw8cBqXPlyC64cuQvnDqzB0Zc68MOHW3Hh2JM4dfAZXDj6Ik4eeBCv7GvBvesL8MHTAzh5+FFcv/Qerp99lwD6AtbUJtEAOylamxle9kjzdkKBjvcyVkvDHQRnkyWYOnECpk+R2NnJWLpkAVzsrRAb5Irdy4tx4pMHcfnEq7jy/Uv8+wJ++PwxnD0igPs8Tn35rDIKe/H7N3Hxu/0858e4eelLQuwBXPzxfVwm2N649BW++/A5LK9MRmWkpAPVEIR0BAM9nwM6h3rCTpSWQOOnpByV18xtSTolFjFb7co6I8CK7mxCODLV7igNI6jEhaKC4FFFWBIx+4ZoDeoJuIXBgbBbvEBJ5zx9zChC7WjYL54MvdNcZKmXID/QEKVqQyxLt8b2Ems81UPQWKfBR1tC8MPTGTj5bK6iaHDtoxZc+bAZ1w/24S/fbSXM7sRPX2/HtS+24PyBhzBQnAQvk4WIVdmgPNEHw3VReGBNEV65twnfv7sKF77YijOf7cDVY49iTU0M4rysUBjuhbxgd6QG8B4EusDDYB6MJk2A15JZiLCagwy3BajTGmFdhh0ebfLB6ys1OLAjCscfzsDp54tx7vUSXHy7ChffY9k+GsQL69IJeW6EPkmCEEzH0ZtAK3GsfiOTmQiEtZKyVUaDJV02gVGyVwnMSirbGsJvC4FW/laq6fjyu1oN+wm2u346uh2EP1E1qCKIi46sxNdKkoTOaF/+L06eBypC2F4Jo70pGj77I0oJIs9VrnVVQhuauF0DIbpBXvfT2RbZr/5kNe+7F3qzdKij81vN9iUjvM1sa610ShqCvfg727PE8qZqMCShDuwfmsN4baJkwPPKBDXJtldGwC1jmSvlDY3WCVkepsoor4QDCKRKel8JcWilo9NGqJZYWhkBbpEkC6KIQFit4XNUrPVU0vVmezsiy8ceuQGOyNd4IMR6CdSmC9CRFoJ1lalYURTLPsGHTgGd3SQtwVlDKGbfwr5NyYKmcVWc8Ar2AYUq0Zt1RZHf7aQJt5fby+3l77f8JswmLpmDbNuFinyTvC6u9bdBPiEz1mQ6NuSHYlu5Hn0aE0XKSXRJZaav95LZWDJ1AhzmTyVkOmB5hB3uznbHg9VBaA9cglTr6Qg1nIx+dvz9BNlG/6Wo91xEeDRTkgSUBVgizdMQ+Z5GyCXE5hBEC/3MEWe3CFqCTprNfCWsoZbA2eJrgnaNJdYkeWEglkbCX2Jm5yLBchESbRdjfYEe1SH2iDGag0bCrCR9qPMzRX+UEzbmyox+b64+qCesLqcxvL82HmszfNEWRJAl+K1KVqEjyh098Z7IsjdATYA1VrMu+hI8FM3XAQmhIES2RBMCCZ4tYYS7GG90sXyrUv0Jkn6oJMSVq20UtYBORVaMxo0w1yHGkEargZ+raEAbAuywkhA8IPGtEQTT5ABl7Uv2w2CyDzZn03lIccW6NA+sz/TDyjQ//kaIDLWm8bAlTLuOjNImC1Sz3KIWkSoZy/hdnAc25+h4zyLQG+eF7YT2PaU6/LElDfsqYwntPkq8bB/L25ck6TSDCAc07jSOPYTSfHdLfpZXqj4Ec9ZZqkqRG+tNCcTmikTeex2KfKwIuY7KZJj6SAIrgaFVsi3R0K3PT0K93oWAYK3UzbJUNVoSAuBjuRTTxgvMjsMMwsz0CeOwYMZYfj8Zedp5WFNsi+fXheH4nypw9t0eXDm4Ade+2ct1Ny4f3o7Tn9yNi18/i0vfv47ThMnL376MY2/txAOr8vDHLUX4+tN7CJTv4saZt5TtVlTEERJ5j3iNMorXEhugTPDpTNEruq3eFiwPyyAwO2fmVJgaLYKTtTFCvW2wsjEFR97Zg2sn38BVAdoTL+H8sT/h4vHnlNHai9/vx+Uf38aN0x/g8ndv4gKB9tqFz3Hz8mFcvXgIV84fwo0rx3H20BsYqkxBMYGrkWChqBBIDGyIivDlT0gJJNCo+Z0W1YTTinBf5Ae5I9rdGoGWZtDaWyMz0A86B3NEezgi3tsFQQSNZF97VPBY1VGEqcQwVEZo4W1mhOmjR2PGmNGYP2EsbBdORLD9dGT4L0CW5wLesyWQjFtbWc8vDPvj7fVB+HS7Ht88mojL+ytw/tUyXHm3biTcgDB74/Ba/HRsG/7y9Tbc/GoHzh8cgVm3RXORT0hb1ZSErT1Z2N6TiV19afjg8TZcOLgd5z7fhYuHHsSqqhjo7JcgO9gVuXzuM7X2yNFJ+Q1GRmbnTYHKaCpi7Gah0HcxeiPN+XxKPK8fPtwajKP3xhGys3D5nQpc/bAB1z7txqX3+vHccBIkqYdApIRrNBH+ZURWwgsaJDZd4kgJfi0ERMkuWCtwR4hsjfVne+T/OnE2g5RQgGq2xTpCdhMhrIpgKCOVZXTeStUOSHUzQSUdvjoCm4QENPJZqqajU+ZPiGObbY9kv0BnTQC6k8+VZPRSRiv5nFXrJHzIC8sSQtn2eX8JljJq2sI+QOLch7MSFJWKZkKtqCS0RhJ0CcGdBM5uthVpizWh7nR+RKXBETV6d3RE+/N/b2QTFkt5XWVsc6lsh3FOBkhyNVW0jEWftloJafHlM0Wwl+tRe6Ao0I3OlIrnE4kxtoEYDbpiggnHvijSeCGHvyd42BCU2UfFSlYvd7gbzkG0qyX68qLQmxGGBkJzNQE239NGgeoKnq9EtKYJszk+Nspot8iAiQMha5aH9W2Yvb3cXm4vf7flN2G21GE+enVm2F0ajK2FQQQ5b2UWf4HXUjxAEOrSW6LAaBy6tVZYHutGQHVCnv1iJBL8fBZOhmreeELobOS6LkCnzhb1PktR6LwInoumIsXREB00QHk281Dtvhh9EbZYRqAsCbBAjMRsBljh3uxALIt3UUZXCwLMUehhgnS7JWiIcKWRskeDjp2tygoF3iYo9LFAFWG6J4JGyMsKDQJiBLJsZxPkO5sp2rBNAWao8TLGpnQPPN4Ri22S8SveDW0qMwKfEx6sT8SOYi3aAk3RobbGcoLs6hQVOiNdUK6yQB2Nr0h9Neid0B5DIxVsQ4CzRIaHAZKdDRBuZYByQnMegT/dzoCG0QHZHlaItjekcWXdEfZ64jyVSVY9MTJi64cWGb1NDMDKRH8M0EgORNPgJfL7KDdlFrOMfrby//4YZzoUtugNs8VQAgE7xoPGxFEB+8FkX4KtzKb24DHdsZyOhYxAL4sm4LKcg8ny6lHLc/vwewesSHJnXbuiO5YGUW+Pdp0D1hLq+2K8lLCKLoJrT5Iaq4uzaGA1KPFzQlOED4p8bVDO+6Aki2DZi/wcaMQkS5LkxbdX0hLLBLcqXneilznyCS1rafjW5EYqWrQdLI/cM9GkrQjzIJwtxfRxozGBsDVrMmFWZt5PHQvHJROQ6D0LgzmW+OPyIBx9qhQXP+jFuQ+W4dKxe3Dj1GO48t19hKQ9uPzNM/jp/HsKyJ49+hzOffUU9j/Yhbcf7cLJLx7DzfOE2bNvEkJfxc6hMlQQXkSaSbI2ifRStRhhnasiPxTqbIEZArME6xmTJ8Jw0XzYWRhB42qNnvJ4fPbqDkLsq7jwrWQAexLfH3gI544+iUvfvoBL372Ci8de5u/7cZ1Ae+nEO7h87gAuXyDIXvoSlwmz1y4exalDr6OzJBr5hCURwC8Pkln3hB2tF6GKcETgqQ0WXU9CS1ggSiODkOLjhCCLJTAj8C2eOAG2hEeL2VPgtHAOVMaL4TZnBlRL5iFT5YKqiEB0JoYSevSIdnOEydQpmD9xPB3M8XA2mMLv5iPZcx7yvBej3N+Iz4QldlY64slebzzX7Y43Vvji4M4IXHy9DGdfKcZlwuz1j1tx42AvgXYQNw+t5f+rcfXARpw7cD/as0LhbjAbLWk6PLO9EXuHirGxORkrSsPwzNYyfPvWalz88l5C7QNYUxULV8PpinxXRrAdivhMl/DZjvWygNmsyTCePh4Oc8dBbTQeqU6z0aYzxq5CF7zQqyJkh+LrB0U2LBPnXy/AlfdrcOWjDpx8qRn3toTw2ZKRWToEBNkq5TW5D8r0HqgJc6bD6KIAZ6NWdFm9CGjuKGb/UEIQa4uW0VkV7z+dsFCRtPIgGLuhlbArE8gK1QTZYGfFUY9zMEBBoEy2dFDks5rDCYQ8TiN/F31qceZkXyVGls9YZwzhWgCX29WEsA9he62P8GbfISEEAr8iy+eJ3CD2jQKaEXwGCIJVfBYaw0RnVo32uAACoYwq81lheXICHJDsaox8Or+FBMT8ADdk8vkoJzRmBzoRQtmnEsjzBSrZZkU5QZIhtPKc8mZF3qrICHQR4bQ02JNOpRYdCTp0x2mxPCMcy7Oj0Z4SjHLuW5+gUSS/mvhbic4bJTxHmIMR4j0J74l6lOucUSbatWo3Pr8eaIylA0x4LtWIZKIL7wU/SyIFnrs+zAf5/v+5Y2ZvL7eX28t/7eU3YbbOcym25Lvj/lo9dpcFYW9ZIDaluhFsNbinIRrLE53Qq7fCQASNQpgjin1MUelrirYoZ+QRMtPdzVAUaIVSbyM0+1mh3s0Ea1K0aGXnXOZpgfXZKqwhWFV6GhLiXDCcpEOhnzX0FnMRazGPUGpMcDZG4OJpiLNdiAJCYombEbJdlqAk0Aap7ibwWTwDxhNHIcpyDoGPgMbjdIS7olFe3bMjrWanWs6OXxIcrCKorYpzx10ZHjTcsdhVoEKd2yIUEKhzHeaincDbF+2EjhAbLItyRavaSslQVqEyR1e8twJqeTK5jMeXZAqdkqHHx4RQYE4DZsfvnWmk7FHqaYpCN3OCrxg1d2X0tTvJF10xbhhIJARLFq1gQmWqP7YVhGBjTrASZ1rPuqr0N8FgrAeGUn1pID2wMisAa7MDlJHj5YRqient4zXKaOoKGbUlVK7KCMCqHH9sqtRjOMsfkuGsPdIJQ/y9VZQSCLHdib6EWtneDcP8vSvSFauz1egIozEmzLbpWXYa/TbCsSgtKFJjyaJlKsLq8gpVRrcI17zGNparJ2lk1FriaSU8YTDJDx2EY4HzllAPlk1kjgII6oFKiEEn9+uK9URZoDFaIt0hKUKjCYlzJo3FhNGjCZDjMHXCWMyaMhbGs0YjxmsWejPN8fTqEBx6vBjfv9GG0x/049Lh7bh+6ilcP/sCLh9/Ale+/RN+uvghrp16Gz8eehZnj7yAHz55FEff2Y0LX7+Ia2fe4roff7n8Lh5YU4HacAnJUKFLUhATNmStDfGgYRaFBXvMJszOIsjOmzYVSxcthJO1JbTufL4LYvHqIytw/uvncfG7Fwilj+LbD/fih8/v53mextWTrygjtZe+fZUw+yGunPkEV859hkvnD+Ii1wtnP8fVC0dx8vMX0ZGvR4HWmYDiOjKTXuumxFV2xAaxjvlZQ4csmKATpUN5jBZZAe508MwItIawW7QIYe72CHe3QbiLNfI18mrYH+m+fM5DVWhLCiM4BKA1Xo/KiCBobc0wb8IYLJ4yHk5LZkBjMxupvgZsl0a8zxZYlmKH7SXOeKjFHY81O+N1wuyXe6Jx5qUCnH+jDFc+bMKNjztw/fMeXDvQh58OrcONA8O48dkWnPl4H+p5n92XzEJHbhhe29mN7W2puLszAzu60/DsXRX47v2NuHT0Ad63R7CqKg4m08ch2M0YCeKcRjmiNMIFqWzzNvOmYQnvveP88dCaTkSczTRU+y/GujQbPNvtjwO7YvHNo6k4/Xwmzr2WjUvvVbAsA/j22RpsKhFlCM9br/JF0ozPmdaFsMY60dkpb0KqA13QGeWvzP4vY70Xa1yQR7iqYH1LDK2En1QTJluViVkeqNNLtiwXZaSxlG04nY5cYaCDMqpbJoojBFQJ6anis10SIHHtokTAtsNnW8IAGrTsP/h5MEHasYzu2rNPtFRCiKRttcpbGW4nWbXKuG8xgbZIbUf45L0PcUdnPAE9Xo2WuJF43FpCYn6gM+LocKV58jgi86V2UdQJivl8ZHnTMVC7oyYyALXR/nwmJKOcrxJiUU2Abwr3U0KYOujE9dJRbYpWoTaSsCvSZZLYIS6QfU4I+uN1bL8+7M/Yb3GbQp5TlAnKCbM9qcGojwlCpIsl4lwtUUSHS+KzJaa7PyGYfU8kuriNpMoVlQgJ65CMbDIaLgkeynQut2H29nJ7ub383ZbfhFmRWCrxM8P69EDcleuPHp0p1ia7YEuxHjuqwzCc6oENeYSpVInxckRrpDN6ot2xIoXgJtJXBB6Z2d4b7oCVsQQovTuBUdLEsrNn595GwFkuIyo6iT+1QQFBNWjRNKhMZsB62miYTL4DvoZTEG9viBx3giWBeJDwVOZrrswEFlg2HzeK245HBUFwXaqnktayn4atJtAOZSp7lAc68RrY+dPgtEe4KyEG/ToTLI+yQl+YGer8DZFtK1nOTNBJ4G3R0zi5yaixA1q1VsrfMh5bkiA00kBW+FmgXeCUsNsdKrGuNhiksVLS0RJSloscFWFvIMoLy3j9AzSOazO1WJMVQsDzwXCiJ1azfmR0dijZF5syA7GO9dsb5ckyWCrSYWsInWuTPPmbCruKgvBQpQ6P1uhxb4keG9P9sCVXhc1ZftgoIREhLCfheF2eGg+0JmBTHo8nKgQRMlHNF8szRLtSRl2C0B3rRaPjqaTslckYHTTG8l2j3lGJZ20ifA9matBJY9cYLokUJBMQIVdmWwukSlxtnC8qaZBbeR8GE7yxIsEP3byv3azbVoKxJH2Q162reM7hFA36YgJQ4W9PYBaZMpH+8sFgSgCaWD/pvg4wmDYR4++8E5PGjsLkcaMxZcIofjcKWrvJaEkyxMP9vvj4vgycfr8Ll79aj2vHd+Hm6adx/fyruPbjS7hMsLx+9m1cPfUOzh2X0dkXlfXHL57CtZNvKiEIl394FX+5+DbuX5ZHw+qMKhrXboJ2j6haxKoULdIcb0caaWssnTkVMydOwLwp02C2dAncHW0RGeSNltxw/HFbHb7/VOD1Gfzw2YM4dfAh/EiYPfXVI7jyw0sE2jcItC/j4vfv4tq5z3Hj0mFcuXAI164cVkZor146glNfvIjuwgjk0snK97WnQ2ZJCGH9s74FXmQCYCMhTF4hS6ancsJZZYg/KoJ8CKAyIYfwHadHCSGhUOOB6nACWkKEktq2NTkMncnhaJZQA37uzYxFjtoHC+kwCMzaLJgKr6XTkOS9BLl+hjy+FZ0cK/THGmF9hhmh0Qcfb9Xj8H1x+OG5HIJsPSG2GzcP9uLyJ624+lk/bnyxBlc+XYEbn2/Gyfd3ojzWB84LpqE5S4Mn11bjwWW52NmegnuH8/HK/c048cl2XPnmcVz75mmsa0yF0dSx0DgZIdrHDPmh9qhkf5GlsoPd/OkKzDosmIBgy6mItpmOIu/5dHKN8ExfID7dEYfjDybj3EuZuLA/B1c/rMKfD/Xj8MPFWJntSoh0Jbz5KBO9avReymtvkegqCrRGrdaJjij7HdGATeCzxzquECmqAEclrlRiTTO8CddsA7WRnijXuyDT2wwxzosR52KIPI0rUtytkeNnx3vlwr7IGHnsL8rV9nQ+xPEgOKsJxjpHAqoL+lMClbjxekKzqJfIKG5dJB14OtiiPNDJ+9wUG6houNbx2RMlghxvE5bFBXVsa0UE3Gred5Fna2C7KqIzLtnB8gIckO5miQxPK27jxHLz+ARPGckt8Gc5CK7lejqdPJdcoyRBkNHmZkJtr4TTEE6bg73QQMdN5LWaYv1RG+WnjNDKiHUTgbNF4nrpTIkyQjO3L2e9lfD4xQTaBj6TLXEaJR212nIxnRAXtNJ5kkllvYTh/qRAJZZY+o06OrRtSgILmYRqjxq2/1o6CLdh9vZye7m9/L2W34TZnjgPZLstRaGHGVrUNihxX4os+yVIsTdArpexIt9UFWTJTkwMMA2ynw26CMD93G99hg4b0jVYk6LCijg3Rcqpg51rLbcr8TVDgZcpoqxmwXnmNOS7GqFfsl4RguoDbQmitih0N0G2gxGa2AluLIggPHJ/DQ0vt2kkkPQQoiTutDqEnSQ74g0FIUr8ahHLWkmQrZfJUzKjWAwDO9MedrZ1GgKEowGKHBeg2G0xmoNMUeVlgPYgC57XkqAto5OOaNTYoYFGsMTDkNdnhVKd6M0aI9XGADm8/lYavV7CXW2ABctqgQa1NUpVVuhN8iXA+iDPeQk6BNRTaWh47HzvpSyLKzpZ1tUJvtiRE4RVLH8zjWyZxgZ5Klv0xhBO00KxMTdCAcThWFdsSvfF+hRP3J3hRpANxNZUd2xNccOmJEesirDEsjDWR7gdVnHbR2tC8WwzYVZS9RJ0h+NcsD5HwFaN5YTaZUneuKciHA1aOzoBS2lkCHXyWlSRzXLlvXRQJqKJtJFoXVby/45YPxo4dzQTeNtY7rowGs9wDyX1psQIthHqm2lUVyTQaUkNIIi7Y3k8YZ73fDBFTcfAAwXe1qjkeSQjk8QHdojeb5TEERIoQnxgyvs//g7C7OjRyiQwSaCwaOoY+FtPQV3cYtzf64339iTixzdbcOlLiZm9Fz+dfxk3z72Bm+ffw/VTb+Ia13PfvobLZ97G+W9ewdnjL+Hij/tx49wHBN43cZ2Qee3H57GmOoL30lWZAFYY6K68ii4NkBz2dCQIQRkBrnAzXYiZE8Zh7vRpMDcygKeLLaJp/OtzQvHo1mocf383Lhx7GqcPPYoTn96HHw48QIB9ksd/FTdO7ldGhs8f388yHcBNwuv1y8eUWNlLp7/A5fNf4ehHz6KrLBq5aleEWy+F8eyp8DZdgCxfG/RnBCvPaSNhqlp0RAk+a9NiCSUq1AWxDCxHkzLaJnGehJcgZ9TICGC4H+r0ktnKjzCsppNCByYtCstz4pFPCDacMpGQPglOS2bC23gWwh0XokBljJLApWgINUZ3pCF2FjvilSENDu2NwzePJuP0KwW4+nEzbh7qw/VP23BZJoF9OYQbh9YScFfh2meb8OOHu1HAdumwcCZqU3zw/OZafPHkIF7ZUok/ba/CW4+34+Rnd+HSsUdw/fvnsKE9B2azJkFlZ4ggWyNkEgYbk/xRTQj1NV2EpdPGwWH+JIRaz0CK02w6oIv4PJni2d4AfLAxFAd3ROCHp9Nw4c0iXP+oFj8d6MQXe/PQHWdNoHRQMn4J4MlIZgUdTxmFr2Z/0xwmM/ndCZ8OyPYxRx4d9AJ/K+7DfoTgWcK2LqFN4VbzkOFlwc8uiLNdimi7RUhi3yTxqJIyNk9lQ3B0RiXhMt/NGBUqSzTpndl2HJHlaYJohzkoDTQbUSHhd40E03w60rl0gMvYH5WxHbTw/jWyfAEWCxDsYECnhPcv2ld5Q9Ako7JBjiimc6Nk+woTEHXHcE4E1hZHoTXeF9U8bp3eCTXBdij3lxFhd0j2suoQX+QHOCHW2RgZPpaEZhkddlZGYyUr4QqJxyfgdobSgSWUdsYHKDBdRthVUthqPdETq+ZvgexzuS+fL5nA2cD9C1mWcDsjRQpOlDMKAz1QzHO2JgWhL1mHNdlRfFbZb2hslfTeDcEsH521miBCPEG9npBeL6PkvN+3Yfb2cnu5vfy9lt+E2VaCVk+sG2HQBvkuxqhlJ5vKTs1h6mToaPSzfExRTIjrT/ZXRiEbCHeNwWKE3dBOQ9zBjrKNnVhflCe6I9wIpN7K6JxMruhgh99KGI0xW4BExyVKytbuMDvsrQzF1lwdNmZzzdHhnrIY/KkjH7tKEzAQ541lCd6EVnbIka4YlglPBKm2cE8sT2Znzf/FIDSEyutunjvUk6BJqA0jbNOAFPrYIs/VEvVB9shyMEa1rwWqaGhK/UwUqak0O4KurxUKPCyQTmDXGU5BhosRymhgyiRGzcca1ZJql7DcLdfITrqaRjHceDZ8uYpR7Ev0IUDboExlrYyMdkc7ocBvKWr53SChcEOGBqvifLAuMZDwGsjrkJEhGwUaVxH+1+bqldeSQ/HeND4ExmBrArwtQd8eAyGsawL48hBLrOC6NsYWuzLdsDvLDXelu2Bnjhd2ZvlgfbwLtmV447GGCDxYrcfdRYTaFC9sIdjK+WplRInA1CYZv0S6jEZSshrJJJOSQGc0S2Ys3i+REmuKorMQ5oS2RF8aMi8MZGm4hmA4Mw7bi7LQK9q6EZ7oZ3n76UwMxYuSAQ1johpdMSMjsb0JkptepSRtkBCFTt6/BilHuD8cF83HRILsRJHoGjcaMyaNw7wpY+FqMpGGfh621dnjw32J+OaFalz4jBD13UP46eKbuHn5E9y4+BlunP9EiVM99/VLuH7+fQVsRXHg2oUPuX6Em2fewTV+PvXxHpRHuSDNywFFWi8U0WBLxqTGMAGJAKzMokFO0UHjsFRJ4DB/1gyYGS6Ar6s1ooII8blhuHdtGY6/sxsXjz6Fc18+hvNH/ohTnz+Ei8efIci+jqvfv4pzR1/ElR/fxs0LhNmLX+HPV7/FzSvfsqzHcPHU53jl0btQz/orJ3yGWJthythxXMfAftEM1BEkJLaw1NeSbcgdnRHedLjc+czJCJ8XYcBF0VBtifMnwPrwGfRDA6GhS+SnBGbpHHQQNroTgtGdpEdrrBZ5ag8YERIXTh0H0zmT4GI4Hd4mM6E1m45E+5kEJjqM2oXYUWqPl4aC8M56Lb5+LBlXP2zENRmN/aCRax2uf9KMn75ajp8OrybgrsGfD+/Ad+/tQCrh0ZxA3pSjwv57G/Dd/nX49tXVOPh0J46/uwYXjt6Di0cexPXvnsPKxkwYsu+wWjQbFvPmIMjJCNlae9TGqxDjbgXDSWNhwnIGmExFstNMQuNCDKda4IEagvagH95dGYivH0nGuddKcY3luv5JJ8taijW59qiPsEclncVcL1sFHCWRiYTG5Lsb0XnyoNNiB/WiSXSefw/N0knI9TWhY+bC+y8wao80R0Nlkmkx+4aaECelHxAVjtpAByWRQJOMrHK7fG/2G35WdKhtlNAqmdSY52aBYh8b9iFzoLechSJCZiQdlAJCZS5hNtnZEGmE31QXQ+T7WEGzcBamjf495o3+R8S7m6I3PRh9EtOeEKCEQxR62vC+eKLE3xpF3F+UUp5emY+9dQnopRO4Nt0fQ2m3EsHwGuslJIDPcZYXHXDJMMbrFyWFgfhAOrRhGEoOpFPgjRXxnljJNjggqXjFGSIIi55sh0h/JYeiLzYQfQTdNZl6RW2lgg5tob89mvl7oT+dPz5nnSnsv9gWVilqLAF87tzZvrW8VoK1ln1esjc/+6El1JdQLBNS/dHPPruBdqDAz/w2zN5ebi+3l7/b8tswy05dJhDJ6IPotbaFOqIq0AZ5npbsBD3QnRKI5ggPNNMgSCaqDsJCS6gLWgk3zQTZSj8aFT/CrcjWsJPtYMfZQ0+/kxDbFS0dnQo9NMx9kjaScNMUbId6tTn6lXSuMnlJJKVclJjQ3jg/JatVHwGsK4xGhhDdpndSZKtkNKA52AmdkZ7KCEG1vFYUWGNH30NQGYxXo0Zth3KVjQIJcu4KGpwyGqyWEEfu66CMWArkSVpKyewjox41MtFDR5DgKsDWJZM3eN3KxKtQNwzEEtKifdEWKa/rg5RXiDJqI8dbQ+hbnuqH1ekB2EhAXZUqEmB+aA11RpuOYMrrW07jIkkRBmhgJB5XNFhF01LEy/tZxgEaq4oAc0KNHYYSPAjATtie6IK9+QHYlx+ITXEOWBlmiTUR5uhWL0WV8xwCrw1Wsd6WRTlgbYI9tqU6EGw9sDVThQ1JhOgMUWMgeKbwnDxfc6wvJL+8lKGD9ShpMyUeUEaXWmjE60U3lsZpICUIg7yGNYWhaKfjItmB2kRLN4WAnCiJIbxpDD0ItDSwBGHRve3nfoOE2B7CsoRhLE8JIJTT2SAU1IRIvKIHfEyWYMIdd2LsH/6ASWNHYxqBZvYkwp3hZGQGzMbqQgu8vjEMhx7Lx6l3B3H9+4cIivtx4/IB3LhwED9d+gLXT76LU18+jcsn38TVs+/izLHncPn0W7h2/mNc+PplnDvyDA6/tg1ZAY7I8HFBSYgvSvVeKA12JXjYjYy2BbNcif4IczHD3CkyAWwSls6fDU9HM8TR8NdkBmP3UCE+eHIFTny4R0mWcO7Io4S1J3CJMHvl2xcItS8Qql/G+e9fwxVC9fXzn+Lm1SMs67e4fukb/HT5CF59YC1qWY+Z/i6EyiUYe8cYrqMxc9wYRDia07GRCUQyUu6MKpa3QeepjJrVEVYkFlHJ3sT7Va8n6PI3WTv4WWakVxEeGsIlhEOgWKXAbFmIP5yXzsEiiUWeMR5WcyfBfsFk+C6ZSrgwZls1Rm+kATbnWOLZHi+80OuKz/dE4jyB8cL+CiXT1vnXi3Hl/Wrc+LQZNw/24OaXK3HtwGZ888ZmpAQ4w3zWdBTFOOCt+2px+fD9+F8/Po2rX9+Ps4f3EvjvJfDfi5vfvYDukngsmToFS+fMxPRxE2AwfRw0TotQleCLPF6XxczJMJ46Ab5G05DiPhfVOgMMZ5hjd7EFHVpX7B/0wVf3JuDCG5W49FYNLr3bhPOvNOG1jYkYSJbJVRI6YEeYc4RoGQvolbLNy5uBQjoIhd5GyOL58j0N2U4t0BbFutZIu7dBhTLB01Zx4BrZD61i25VJk5LBr5XAqvRr4a5oIuwOEI4HIp3ZnzkoYVVNPEY7+8EGiaFnPyPZs4r87BQYLmI/JQotGc5LkONlpkjVlansoHdaCqe5k5FOYO3NDqZzZYtGtr8VKXr2dWyjdC572Ae08/xddAYlO5n0NRkupoqj3Ckpsdn+ZP6BxLruKEtlG9VhZV4UBjJCCPYefEbY13EbyUgofWRjiD262ff2Rfshlw57OYFf+rtKfwkxGgHbXLaHukj27XxGa6N8kB9giyr2AfJmRSaUlUnoAutBwpKqWA6R5Gvj8UsCLfmsWqNb6iTGj795sN68sVIGGDQOqNM4sy9xvg2zt5fby+3l77b8Jsw26x3QGe6iyCkJzErHpQjos4Mc+P/Yewvwuq4r77sxiFkySJbFzMzMzCzZsmRJtixmZjCzw2nSBpo0bdI02IDDzInjMJNjiBlk2en/+68tp007k5l5Z9p5Z97P53nOc+8998A+++y912+ts/ZaZQm4siaNg2o0AdeHMEbhwf0EZHoJYx2pIehMCEQLB/WWGIJhIqGRAmtAXpESHMTqIJAswfh3VaWrMFZyjma1XUA2kqtcK4zwy+tzEBa4GuGgKz6rgwSMkbwYHp+Cfg7aHQkE1UxeWwEKQZXCTL3W44A8TuiU/4YzwwnEMls5koN3hLLg9qQHKStMOwftZmWFSKJQ4eBfEIXNlWlYX56AVgqwAULymLwO5DVlUtWWyiQKnWQKnSTsWJmGq+qKsKk8lUIjUiVnuLG1kKAuPmih3C451SkYObDL6/zx7ABMsq5kotp47lxYs8lcCksqC6OE8g0Ee4lTu4lAOJbup+LwbuR+02me2JkniSGCsLGAMJ0ToLJzrc+T4yh0IhzRxXvZUZGAzUUhFCzeWJ/jjelcH0zl+GIy0w+7KqP47MSHTqIriM9fAKEzCdskTW9BMOuHwlhlCJu7X5mlvU3OJymAJbtXXRrGeHw7y9nH57eeADjJ+xTry6YynltgloqEWLvEb3qMQnBPVQ52V6cR5uMU8PYm+6KL/7emhCDb3wOGGloEugUw0NZSvrPmRjpwMddFcZgZtta64+FNiXj/nrU48MI0zn7xW1w4+gxmz7xDSPwAs6c/wuyxt3H008dw8rsXFcAe/fJJnDrwPM4ceY0w+zROfvUoPn3maqwVq1dqNBoy4rCOELguMZBQLWlEg9UkFRHexZFesFlkhMWGhrBbuhjB3i7ISQhFc3karh6rwZ9u7MMnz12Db9+8FQf23UFQI9R+dC9OfPEIzh56BicPPIvjXz+JE4RbBdcSX/b0lzh/9hv8cP4L3Ld7HGuTglAc4olAawtoz9eCvqY2jDW1ELBssZpw00DgqQt3Y5v2o9JF6E/0J2QFK6VjiKvENu1PjyRMsS1mUumQmecSViozngpKPNtvIoGYba8wBV15KYgkNNuZGsBpsSG8LE3gZ2mMZFcLtKZ7YrrEAzc1+ePh9bF4fkcCnt0ahf23ZOPQQ9U4+HANDj5SQ7BtwNnXOjHzRhfOvt6L8+9RqXj/Bnz90g2oSQuDsymhLNkZz97ahNOf342LR5/G+e8fxalDD+DQh7fj8Lu/w4kPHkRLaTpsjE1gaWYKEz19WBhqIMR5MZoLOIZQ6fReagJnEz1EORhhRegS3oMddld54K52Xzy/NQZvXpOKd27KwlcPVOPw4+tw8oUOnHyuF4ee6MHdowTCRFc0yuQsgucgAUxixdYS2sS6KX6zkk55in1nOMsXjTEuhLcwtKaGY0hiH1Mx7mbbH5OxjorWDip7k6WJbMcBqIuwUxNIxQ1qM8erKfZ/yT5YE2xLsHSnUkuolNf62SE8V7jyDZVU0pJGu0/eVHFti/dQbz5kUpj45o+USKQB9nnC8OaqRHRkUmHlNa9dnYntK5M4rlBxplI5RADcwPNvoGK7mWOkxJmV+K39PM8Ix6n+NIJnYTx+1VyC3TU52FGXj00ca2QSWkOUF/uYTNiMVfFzB9hnB9Kp5HMMbOY40cr2NZJD5Z3tTbL0dbM+KqPcURjggLIQZ+T72SHLwwJFXsuwOtwZzWyDhf4uyHO3p6IvY5ec0w9rolxRG2KHdipHfXGsVyoF7XESfzqJSjXvl89CjA1DlCGXYfbycnm5vPyzlp+F2Y0EoqE0D7TFOmMoK1ANnuMFApUc8DlwbyuPxbTESczlIEtglCwvPRkETYLnALX8zuQAdFIrbyGg9nAQbedvSanYSZiV/OHdPE9vDgE1j/DIz2Fu21qaxt8Cfdw/QYQL4TWH4Cm+VzKIp8lELImewGsQTgdl5bUGeM4hWTnIN8cTlvgp/p/ijyZ5zftZLvGhnSiIVa9oJRi5ZMWRjD8SzHtNpKeaFCJ5++vifbCOMCxpV0UoqDiKSRREArI8n+RQH6FwWV8q7hWyJlKgxGFbWTJ2EIB3UjjtWJWgYHa8hMKHgC054tfEEPo5+Itv2ZBMICuOwM6KWA76oVhPxWEzoXUkxZfwGoZrZPIcj13POhrn8cMpwegnVA9TIDfGeVOgLFM+u2IJ3URI3FWVgcmiOPV6tTM1CG3ix0sBKlm61kW7YIACRnx7W2PdKFi9WE+sRyoPtf4WhCLJ9MU6zfDGBJUXcb3oZTlFQK+n0N1CoBef6O5UbyWUJKj8EJ+/QO9odjB2rYzHVoLsNq7iDyxuIL0p/I/lnsqOxs7yFII5/y8nHPNa4j6xiXXTTRCriAiEibYOdDQWQI8wq6etQZDUhr2ZNjJ8TTBS5oj71ifgrdsr8dljvTj+zlWYPfgAZo8/p6yzArMXT72HU19JIoNncfbwazh56BUc+/IZnDn4Io5+8hBOf/Monvp1B1aF+aI+ORrVcVGoJ9R25yWqEEI1UVS2MqJ5rRSsTAqBy/KlWGJkTJhdAh9XJyRHBmEd2+WOvhW4//p2vPPoFnz7xk34+vVf44uXb8Sh/b/HkQ/vI0ALRD+D49/sxcmvHyNYv4bz4m5w+nOcO/UlLpz5HL8e78faeJnME4AsXxc4my2C85IlcF60GOG2VqiKFp/JUNSyzdVH+RKkvAlkruxDBCJCrWRYktBO4t8oyoakcG0XEM+OxfoVpRggvA7zviT1amsy+2BuEhI8nGFtrAeHJYbwtVmEMPvFyPSxREuqK/bUBeLBiUS8cm0OXtyRhP2/zMRnvy/Bh7fk4Kt7y/H9k2sJjE0483IHTjzXgDOvduDiRxtx/uMb8e1rN2NtZjTcFxujMtERe69bjbMCs8de4PMh0B57FIffvwVH9t+OA6/ehSKCo7mBARYZ6MPcxBTuVuaI9iIElbD/rM5RMGtroINQK12U+5ugO34Zrq+mMjMYTIjNxfu/KcTbN6bj498W4vDetXOW48dX4fSrQ3jvzgYMFrhRUWbfEj9W9t92KivVoc6oCrZDY+yc9XVjcbCK9LE63BFFhNE8Xzt0sM+Lm08zFWKxOE6xbw5SkW4lhHUR+OpCXNlnfNAY5aYieLTH+aDAxQpZjktQ4W9DMPTi+BKkYk2Le04Pr7+Vyugov7fFexJ+qTTz2QlMThKIuxI92bfYD0okXjX7HZU+cTPYtiqLCownOhO80BLjoazKwwTedsLiIBXPSY6/8lp/guPCdhlnVmZTEc5CN8fVjRyHO6n49KeHYTv71p6yWOUTL77DEo5rUMY/cRfiONPBMjXEeaixWfq41Ndgqi+qQ+yR77kc5cH2qAhxwGreb1WEMyrDHJHvZYkujuu9xfHqrcww+3Origvuhupwwq/fMrTEOmAwy52yIBDTvP7u0hD0xlqhL96K47m3UhYuw+zl5fJyeflnLT8Ls9tKwgi01KoFvjgICjh2cXBt4sDeEEtY4qBbG+SKnrQwwk00hSoBh9CqMlpJJqi8SDUZoC3Ok4OwCJFItFHIyMzWLg66a2IJtzLrlUJ5gKDZmijwS0GSKxl3opTltD8rBBNF0QS1GAXTYjGUV/7iQjCcFUwQC8VgGs9NoJ2koB/LFf8sChzCZwuBYYIgO12aQCE05687wv8lm886gkIT9xFfuEFuk5m8YvnqyopAs0wiSScIExQmWLbN5cnYViHZd+IxSsHbz3O1ExoHcgikLJe8CqyP8+N5wzBJWN5SFoeJ3HAKnGRsqUxRAmaIYCdW5cliAurKRBWCTCwYkiFs94oYTLN+NxRIti8KqrJ47CiJw1aucl89PFagWl7/d/B7eYAjcj1sKTRDcGtjOnZUxGOAdS6W6vEKggzrfoD1NE3g3kLYHqawaouWiXFe6GD9ryOs9lOIDmSwvmM9KNy8KLQ9VSzdTeWR2FmTgp2rU7BjdTp21qViz5o0BazrKeS3E1Q3FERjQ0msslbtWZ2MX65Nx5Xcf7owGFMSNowgMCkW5+JIZWHewmP2VCYq5aeL9yzpi3sICh0UzPXJkbAyMYau5kIY6GirpAVLuDotNUCKn/iROuCe6Xi8dFMh3vvDOhx+aTPOf3U3zh95HOdPvklA/Bizpz7E7PcEx0Mv4+yBl3Du6Js4+d3zOH+U3wmY5w89hft2N6AhLRKNaXFYFRlCoA1BVWwISoI80JAYjOZEAmS0H1bGh8BtmTkWGxjCWsGsI5LjQlFHmN3SXYZnfzeM95/Ygi9fuR4H3rwVHz9zPY5/dB+OfXgvjn/+EI598TCOfykhwh5gOV7ChdPvY+akwOxXBNtPcONED7pz49mHCFRBXijl9ctCfVDF8lREBaAq0p9w4Mdn7I4yf1fChR1iLPSRuNwEadZmKPWxmfPdJqC0JgSiKsRFxRutjfNHc2YUGqn0SWzUHom3KmGqCLdpfm6wkhi1pnrwsDQmzJqiNNSKUOKGX7VHYu90Il4nzL55TRo+vbMYX/y+jJ+F+H5vDc6+2obTzzXi2NNrcOypWsy82UOY3YDZz27GVy8TZrOiCeKGKI6yx4PX1uLwe7dh9siTuHjiaZz59l4ceutafPXilXjrT3sQH+YBU109mOrpwNV6OaJ8XFAYF4DR1RnYUp8PnyXGsKYiE7xcF5VBZhhKXo4bVxNmh8Pw/m0FOPCgpNldhSN71+DUC13KMnv4yXqcfa0Pp54dxr3rC9lXCIPxhP84N9THuFNJdcHKQAfkedihiOA8XRSpJmtmOFog2X4p4u3MsCLUif0hlGNLhJp02hTpjopARyo/3E4I7JWwXQK1oS4qikdNsBvqIr1QHcb9gp1Rz/FQMg6Ke9IQxwQJX7ehlGMa+2pthAf7uGT2m4suIM8uy8uMz9geDVGOvI41Cn0c2B6COKbEYpW/A6p8ndAU7a0ifgzm8VkmiUHBFRPs16Lgd3GM7eAz7hefaSoxVQTq4QwpnxMVJU+Cu7sKh9dGWO3guCBW3Y3sq/L2ZrpQ0kl7oIlALZPjxIqs3CFkQhwV7ja2pbGiBCqxMaoOG7m2JHmjOMASbZkBGONYOi4ZDXMD0JvKc7BsLbxed3IQJqn0bl4Vz/v3xXiBD7av9ONYTUUgypKKsxv7mMdlmL28XF4uL/+05ects2p2epgKKSWZnyQA+ABBUmbcitVgbQShKDOUg10AVoe6oyHBnwN2hLKg9nAfAbpRAucEgVNexe0gaI1SYEgyg/UlSYRfCTsjfls8Z3ooGjlQrwkjcKWEoY+A3Edh0CuuAgTasZwwQpA/B9AA9QpuIi8MXUk+6E4lOBOyZR0nfIqbgVhge8Vvlus4wXMnQXSCoDomr2czCTTiz8bryWxhyVg1QkEzmB1DqI2e20awlQk3ozlxvPdUbC1LVSGmhiUWaGEcNlRmYJTQKaGsBsTiwesKaMuM6cmieGwpTcY0r7eNx20vT8ImQulOQuX2UgJqWSyuqktjXcRiQEJ/5YXgxqpMbM0Nw9bSKOW20c8yifAbpWBsT/JV/moTpSloZT2PsWwbypIxSrjq5r2IZXc74bmL55oo5TVrs7jm4Mr6QuypziBoZmF3dSpGssMIqRnYWpOJHQ152CYZvHgPImCbWO9lfnbI9bJCjocVVoY4KYtVPlex0IjPndqXwm80k4KdwnuY0C/KSR+VlD4KyiGZ0EchPpQdwLoguPPZTxRKbF0J0+NLCJgLzSMT6dqSfSl0PQhdElszHO7mS6CroUGg1YAxQcfcWA/Wiw0R4WyEliwrXNvsjYe3pmDf72rw3bOTOPvJHXMwe+ZNzJ77BLOnP8aFk+/h7KFXcebgK4TGtzBz4nWVMOHi0Vdw+osnsKM1D02pEejPS1D+phKiq5HKjASjny5n+yhLR020J2oTwhFga6Vg1tLUGB5ONoiT1Ld8/pMdRbjnuka8s3cDDr57C77bdwcOvfN7guz9OP7Jgzj43l1c78bJrx/F8c8ewukDT+Mswfr86c8xc+ZrzBz/CFubVqI5WQLjSzzZMDTHBKAhmiCaFIJ1ySGo4e+1saGoDPZGgacD0p3Nkem+HGslYUU8FUr2FRXTlIAlkSJWhbhSKfTlsUFoYr9bze91BOVGnr+NMNuak4hMf3c4LjFUMOtmbohQG8JniDlGyzxx52AsHpuIw1s3ZOKta5IJskX47E5ZC3H8uQacfaMTBx6uwMkX12HmrTbMvN2F2ffHMfPRL/H1a7egmW3TxUwfSZ6W2NZXgFf37sDJz+/B6c/+iKPv3obv3rgGX76wA6/8YT0C2b4kasUSQz0E8t5ifR1RToiaqIrD9nXZ8F5iADsjHQRZ6GJl0BLCrDWuX+WKx8Yj8PndpTjyZC3LtE5ZZE+/0ofThNgTL7bj9IudOP/qKD76XTs2rpDQWVYETTvCrDPak33UpKvqcC/UhMt4wfqNckV1sKN6S1TLcSzf15rt0hsbZYa/+LRGE9DiPFDuY80xIVKNd+1sq2LdlCQJw2wzGwh8omBKDGt58yJvYbZRYROlv50KYn2km+pb/QRSUQq3s89LWLuGWE8+TysUedsSoh2pvHhgVTD351gqFlkJWVjoZo1sd2sVv1b6SjOVzFZCZa/44yaKUYHKuKT55rESLqwyyJljnZ+KnFAV7Y6qcGesC3NBU4QzhlK9sUEmqkU4YSSFdZ3phzHx28+R9Nocr+UNGdtSWwyvzfFyOCNcuYbJNVui7fndiXXI60TaKxeKDVTQ+3m+QYJxF+tos8T25j2PZXJcKpLkC3EEbhesCV6GTYXuHOOc0Bsv0V08qZxfTppwebm8XF7+ecu/MQFMQNFf+axuoNY9LdZReS1FOBXrRmuCD4VHCjX7MAoMX/4ORn8K4TBDJi/JZCeZyOJHkApWSQEEQCWKQT/BVKyz4nZQE+aONTGeFMg+aEuhQKYg7qKw70+LpEDxI5QGq8xeArMCtRKaRiyUMulAwnI1UviIz+xEQRzBMJrl8lGzfEcoSAR0u9Ml4428AgxRvoVD3E98JCUTTyu3SdDyCXnNWUhBxG2SIEDiRkogewkvIy4OAspjOVEsSwgFQLCKITlO4SVWYgmjJBEURouiMEloneB9SwrYjYT1DUXJBPoYFWXhmvpMXF+fjd01adi5Kon/x7IuZYJbDHYR8jfwXjYXRap4uDJpRIC2JTGAsOKifNUkFqoEc99QFEdYZnnVTGJCY3agmrgl1qMhKRvhcVdNIXaKD+/KdGUN7uP9d0q4McJxE4VxF0G5mnWaSnAtp0DN9rBErsdy9PLZ1IUTjmJcURzggPIQN5QFuFDoh1D5iFOTR3pTfVFPYdlLeBpmGWsJvuVBNlgdbo/meHfWnx/qosSaQ4UnQdKASgxOL8KZLUF5GSpDHFET6Y46Ct26GArppAjEujpCX0sTOhoL+akBU31tLDHShb+NHoWzCUHAEXeNR+Llm8vx7VMjOPvxbTh/8BGcP/UKYfZDzJ75FBcItOePvYUz372As9+/Snjch/NH38AFbju472E0Z1DpIiyKv3SfTI7hcxY/VElru0Gs7sWpqAp1QGNyJCKd7LBY14BQbQRnGwuE+LughPfavTYVv5wuwr5Hx/H9R+Ivezch9iEc/eAhnPj8EXz/yf346vXbcPTj+3D628dx9rtncE4sxqc+Zjm/Idh+gMHiJD5XthkqJf3ZVJoItLK2Jwax/bPdZURgKC8RPWnRBIkA1rUrOiUiR0E8lYo4TPG5j4uveF48+xOVw/x4dLKv9GbHQzJGNcaLlS2EdeuHdbxOW1Y8ikK94bhIH8uNteGyRA9htvrI9jGg8uOC33aH4uGRSOz7ZSbevDIBn/wmG1/eXaCg9ujT9TjzShsOP1GFM68348IHfZh9tx8z+wcx8/6V+Oblm9DF9uux2AAxTkvQUxGJ+2/qwFevXIfv992KIwT+Q+/+Gkf234r3HrkOPs4WKnKDq7UFInycEONpjZpEd2yojsTVrbmIsFsER2NdRCw3QKn3YvTHWeHG1Z54ajoWn/62iOWowdFn1yqXh9Mv9eDUKz04+vxcprKTL/biyNOjuGMwg+OKMxUEVyrFXqrttYiPdrq4I0WjO8kftUGOWBfhhj6CXBdBdAV/N7AtDrHf97JdygRFCR1YR0VukgAnfaLU25IgKW8wvLifuMpEYAPXgTRCpa+NspBL+KmBTLb7WDfk8d6qY73Qnk1ll31S3t50cayS2NrDVP6aCNGtonBzXBEFZVAUdvZlmZAWZ2EODzMDxDovRQXbpEyuGpMoKeKuIBm3omUirriqsJxcJRRZE8FSUueujaBCFuyEHo4ho7yPKZZnE887SNDtjXNCf4IrthZQwS/leM5xeTTdD+NUhDfnU1HlvYxl+qIx0hkZ9kZYE+7Afu6l3t7UBNgrQ0FnWiD7iS0aYxwxkhaADXnBmBK4TfPHQJIH4ZlKgKc5YpbpUhkzQ6GfuYoeke+1hHXvdBlmLy+Xl8vLP235WZhti/FWr6JlJuxUSQJhMgzD1Og3yis0DoTiN7mxPBESemkiPwoDyaHoozAdIASO5USqQVpSPzbFeKjUrr3poeglgIl1djibAMpjxjjQi+/rOsKsWJqaCXAye3skJ55wl0bwkIlbQcrvbAsBUEK8tFAoyExcCTg+WBDL80URXAkq/JRg3/28jrghjBJquy+5RTTF+875j3HAl3UdQbk+zleF3VpfnkLIjlWTwtZGUzhw0BbQEWiYLk5Q4LixNIngGMlyh+Oq6jQ1S1gAdoD3Iv52IwK4khiCn6OEZsmpPpAVrc4prg6TxbHoJbyWR7qhimtjlCemxCWBQmV7eQw2EVTXi1WW9yf+xEP8r4vgNcjzDBYkQFJ1tiX7oJ/PY1pAmnUrE+KmCZlbKgnDFXFKyRBgHydED+TGqVUs0gLb/QRdmRAzlMfzEpgak/ywioK70NMO1RSA7elhGGVZegijo0UUchKGi4rKRoL2GBWRzSzjlMBwOIU2hZi4NQykBKCdQlmAXiaD9fJYsfbIJLcuKgkNkaKgBGKdvO6NckVlqAuqCbKF3tYo8rVGLa/fTuFcEOwDU11daM1fAN2FC2Gsp6XCY7lb6iA/yBCTq2xx22AwnrwyB18+1ovzX96C2QOSqvZpXDizH7NnP8eFk5+ocFgzR17GOa4zZ/fx91u4cGIfPnjqtygMcENtrD/bQBjbCSEyLVQ9m0k+3+nSFGwpy2OZJZ1oPLIDfWBpbKKygDnZLkOwvyuK+Cx612Xgpo0VePPBEXz3zq8JtPfghKTQ/egRHPvkEZw68BQOf3gvDu7//VyEg4NPYUb8Zk+zbDPf4NjXr6Ob9d+SSjAmWEnmJQVY7C8d8UFKGVvPtjaVyzaXE4eexEC0E55UeCjCtKQJbqTi18x+2UklYSA9ms83kf2T/a8wGZKFaTAnge07mm04mm1eYq3OZQezM9PHMkMteC0zIDQaoDhwMfuwHR6YjMezm5Pwwa+z8fEtOfjsjlx89Yd8HLi/DN8/UYtTLzTixLNrcPa1Jlz4aACzH45i5oMxzH6wG9++fiu62WY8JHYsFZXBVVG496p6vHHXEN66Z1S5Y3z68tU48uEf8MGTN8LNagnM9PUR7e2EtGAPxPjaYk2aN6YrwnBNex7SvJer0FyxBKkV/uaEIxv8eo0fnpyMwye3FeHAQ5U4/Gg1y9SBM6/24czbwzjz1gBBthXHX2jDmdcmsO/2ddiyikpeTiCfsQ/HHx+2bbZX1t84+8Yw+1drlAdaYwhphMkB1t0oFVmJhdpPRU2y/gnANce6qt+7KqkkEDQbw91URJQugvFovkxudUVXrDMGE/g8+IwkJXK7+KZyfBzK81ev3sXqOZgXqSyfar4Bv68vilCuUdJ3JRZsDxXxdgJpv/SfdJns54m6UA8UetghdPkiKgqGKGE99fPYHnGvkjGYY9Oomh/A3+zj3eIWleirXvX3sCyj7H99Sd6EUSfUhDmjg2A+SWhdz3J1xjtjJNMPE6yfUUktneqKvhgb9MY4YD1Be5zgW+5liSLXJRjm+DnJ6/Zz7GyPdMXm0ljKBFc0RzthqjgI21ZIHG+2T9bDWE4A68sTNYE2yHIwQ7SFAZy0NRBkaYAgUy3EmOuhwmPJZZi9vFxeLi//tOVnYbYuwgm14Y4Unu5o5SApkyok5uymojjsXpmsXp1fX5+F6+rSsHNFHKY5eK8n7E0QZIcIjDK4tnCQFUATKO0SIU54GcsNx1R+JK5tzFfxSDeXpWF9SSoHxnBslTBdGWLxkwkKgdhQTEFNMB3nuUcJZYM8j0xs6OCAPlSaiKmVaQq6ZJb3gECj+LeuyMAQ4UyAVvKRK0scB/4mwkFzAmGLQC3RFgTqutIjKEDE2hqnfHdbuE9HSjDWlyZjU1kytlSkUtimEBZT1ax/sbhuW5GurLDy2lASC0gSAPFXFb9csQpPl0jcT5mgFqWs1fJauyLICZVBDirhRHWoO4ZZ3l2rMpVldjwvFO1JFJ5SZzK7ngKrNz8Gk7z+NWuKsKs6l/WSqULoNBDAxdVjTCaf1eRgjPUjcSblPnvEhSI+jPcjgpLwWcY6JbRJCksJ/SV+zFPFSSxnPK8bjZ3ViazPMNSFEUpTqQhIYgQBUZmNTEEu2b92VGdwXyoKqR4YEZ87SfebG6QE2EiiGzZQ+MmzlFe0EuKoPtCKkOtHAJDnHUClg9AcYKcyEg0WZ6ooApUhblgZ7AzJKtZLKK9jmZcScgRmtVWILk2YGWjDfqk2Erz00ZG3HNe0+OKRbRl49/cNOPnOHsx8eScuHH0Us+JqMPMFLpz7AhdPf8hVIPYNzJx6AyclosHBV/DhC3ciy9kK7eI+UpDI68ZjhHUwVMC6I+y1Z0Qpi2Z9DJUblq8kzB82pqZYYmgIB6tlCPBxQrZkRWJ7vW3bWrx+7zi+fPlaHP/0AZz+ci4k1/efPESIfh6nv30C373/B3y3707lO3vq0PMs26eYPfc1DnzwPJp5rTVxwWhMlnBbcaxjAoEErU8kILEMY1lRhKYQtMRQqUoIUM92fVES6ziW0EJljOCzLtyLCiLbaWokYTwdPeniTy4uNNFUdNIJVVTo8pPV+YfK0rE6LgR2Rrqw0NOAn6UhEpxNqVRYsZ264oGJKOwdj8DLu2Lx/s2Z+OrufHxzTx6++H0+vrqnlEBbg5lXmzH7ZivO7+/BxU8ncOHTMZzbtx4H3v41ussT4GVujIwAW2zrzMTjv27FS7/pwpt/6MNnz23C169fzbr5I15/8BpYGemryV9+brbIp2IRH+iCVTLhcXUsftmbh9o4V7gt0UeojRFKAi3Rm2qDm9b6YS9h9t2bcvHFXUUsXwmOPFaHUy93YebdMZx/ZwwnXmzDkWfqcfqFfhx4uBO3tFP5rKAimBWMdYSwdVESdot9nH3kygrCq4xF8X4EPQeCP0GX40GnvMJP8qGCGYLNxZHYXhbNfi59M5h9LwE3rCvElvJUdHLc2VbN8YZ9dHWYC8eYYCpDcdjIcWg9++IA+00nAbeb454omgNUUOQNURWvVR1kS2XcFxIlRuJx10cQNNmn5Y3HNpZra/lctA9JKb27in2UCnCBpyXrw0T5wsq4JVbhligXdMU4YyhNruXB8YoKJRXwobQojMnbGSqb/UkBvG9nNBBeG0Md+R8VIvb1co4/63j8mkgHjjlUYgmmPYlOaCfMdiV7856cUOizHIHGWioajIwb69l3JRFOe4wlunncKO9hrDAUwxwX2lhnNf5WVAZ80UFIriHE18d5ccwNwtpoDzRl+HGcnkvzK8B9GWYvL5eXy8s/a/lZmK0Kc0WOpxWyvWzQmUhNvDgXrTIjPykYGwmhk0VhhDeCqaSxpWa+IV+SFMirNA7IBJX1hL1uDqzyCk2shlPU8iey5XV9ILo4SEpYrkYKkbpQZ9RHeaI5wgsbSxM4sCcRwgIhCRlEyIjv7RYO7JuLRFgQ+AgWvQTU4YJUlcdcQme1icsB4UnSU04UJkBm3I9S4EhZJBKCZE7qz5UYqARtrvIaf5BrG8vbEOmpXAa6KQjq431RE07YzJJ4uImEnRjUyeQasboQMEdkzYlSM6MlnI0kgthYFk+Yi1MQL7FoZRKapIXsJ8T2ETCGCRoDFKBT3Edita4nhG+UcF38vYEwO1UUpSy+4uYgYYJG+P8goVlmrQ9I1AaetyXGXwFYU0KEysW+ljDTx3IM5RNYCGmSLaonKxKdBNrO9EiCTDSPjSPUCnQn81xxCmo3lmeq/OtbylIwXTb3fCRH/CTBV1KqlvnwWbPuJdKEvPbuIxBM5wdTkaAAI7jKRJM2mRgS5Ujo8kQHhVlVsBNh0EdZqFtivVEX7ow2gphErVgT66Us0ZWRHsgPcEEB913NNrQywgWd2cEqS1JjQigcTMygs0BDuRqY6uvAREcLVibaCLPTQ1uONW7oCsWDhNl37qjFsZence7jGzHz3f2YPfkagVZe43/F9XN+/wAXTonP7BsE2Vdx/sjbeO3BG1Ed7UNwjOIzjGNdJKGVwN+YSLCMjcCqKD9UBLtjRZAramMIAanR8LGyhJm+HpYvWQwfdwdkSfKC2izcvmMd3vrTFL6WV+kf3o0Tn9yPU189onxkz33/NGaPPoXvP7sf3xBmj30p8W5fwMzJDzB79hu8/9wDhOUo1CeGoyElmu0qFNVRgaiLZJ0mh6I1SSJwRKMtPQqrI3xRzf4g7gKiXElou3au8najkdsa40MIOBJWTJIlxLONxxNQAvnsojBAkG1ODicwh6GrIAmlYb5wW2oMGyNtBFsbI9HJBJXhloQwNzwwHo2nNkXhielAfHRHHr57sBwHHyzFgftL8M0fi/H941U488I6nHmRsPhyI86/O4DzH43i1JvjOLjvZvSxr3osMUGanzWuGcrFy3cP4Nvnt+PIa7twdP+VOPbRr3D043twx7YuWJsZwtzYFDYWi+Hv6QB/V1vE+NmjrTgMvxopRSMhycZMG46LdJHoaoYWiWawxgcv7UzF4ftYrvukXPx8bDXOvtGHC++P4vgzDTgi7geE2bNvjuLw3l78ticVXSleaGWbbKfyJ29zZMKUWMA7k9lOMwNVzOk14a4qsYGMPbURnlgV7sY+wP6rrOIETip2awmsDYmEvoxAKpI+ym99kuPWMMeBWir27elB2LIyHdurM1WsZnEVGkj3xyjb9Rj7dgP3V+EBJTIKx6d+KoqSunuUY+YooVXGyE0cPwapqEsimPXFHNuyfNlnw1UsaHGz8jbXh8MiHVQE2mIok9dnf+whNPYkEmT5uSbEDjWhLmgO9+D4GoYx3t8YlcipXIJtDqGTYDlKMB0Ray778xD7XVOEEyRTYTMhu519uSXGCfUchyUBTJqDGcItjZFgZ4IUWxO0J3tx7OKYmeqKuiALNclzgOdeRYW0LMBBuWHImCFpqjdUxHBcoTIhk8Eq43Blcxq21lBxzKcCQcXlMsxeXi4vl5d/1vKzMDtZKGGxxDcyDFP5CWpSVnMshQFBbaREQnEFqdfe4xzYpjhAjhNaBzlwrq+IxYZSCTklYBeK65qzsaEsFkMczAXaWpICCRfeqIr25SAXoYJqSzzF7gQfDrQ8vjxW5c7v5nUbCUYDqdxGgbCDgnOCwkZe4w9mSgxTmbgVzoE0AK08d0OCpLVkOQqjlYAYySTMiqsDYXQwl4NsRQqhLYHXlHzoMrBLIPEgApgboc4fHcm+FFpBygoyTCDuJcym+DnD28KIULUYNfH+6OE1hwtj0SWzd3mecQLxJMF5qwrRJeF4ZDJYJOE4RvlnTuQRJgviCBshmMiPxFbew+ayRGWdlgQKArObWaYpwqaE3ZEySfSEqVIK5FQKRp5DXoe3EWQkU1VfXjzrJY5ClWVXdSBWYJajIF4J7BYK4T5CqVh4Bfi7CXBST+LKIf6hY4RlsZSrMEFFAtpURIopaAn9nRS8xd7LUUPB3s/ydPG8ks1rLJPCOSeY+4RQkfBT4b3aCfMSVmiSdS0JJtZEuVPgEY6pqFT6OaCB8C0wLpmX1ka7o9jHFpluy5FPWC4PdiBMOWJ1pCPqot1QE+kLPwsL6C8Qv1lNmBnqwUhHW8Wb9Vuuj4qIpdi61he/m0zAC9cU4/M/duDU27tx/ts/YPbEiwTa/bhw9jPC7JeYOf0hzh1/E6ePvY7Th9/EzJF9eO73VxLuqNCw3UpMTnk2HYS9NtZvazLLn8J7p4LUyDJ3ZESgnQpIkq8rlhjqw3LRIjjbLUdsuDcaKlNw06YqvPXIFL587VoceOc2fP+euBQ8pLKAnf3uCcLsszj1zWM49P4fcfyrvTjx3XM4e+I9/DD7Hd546PcqPFhxgBeqY8MI9EHIC/DAKgHXSB80XJrE1ZASqUC1JtIfNRLxg8+xJz0MPakhKm6oTF5rSA7BGgJtR2YsRovS+Jzj0ExIXpcQhJ7cBNTHBVExC0QHFZ2V0f7wtDCGnakeAqxNEGFtwGsvZz/1wB9HIvHkxii8enUy3rs1B5/fVYgDD5Th+72VOP5EFU4+WYNTzzXg5PMNOPVKK2F2CBc+ncbZd7fhyPu3YHRlIvyWmSHFywp7elPxzkMjOLX/Gny/72p8/8H1OPXZb3D0g3uwo70StotNsNTIFMYGBjDQ18UiY0KapRlyotywtT0PnQXhcFiipyIaxLqYYW3kMirAtrij3RtvX5dIkC0iuFKZeaEFs/uHceL5NrxzQwq+/GMRvn+yFjPvjOLoU314cDKP/dODCrM/WgignQS5Biop7SkhaIr1pCLjjWYqyU2JvlgX44W1HNOa+N/qKC+MiNsSx5T+5AAqoAS/XB5DaK3jcdVhbsrXVeLFypummlgP1rcXFeMg9j9xQQrCFn6K+00X+0kPx8Yh9vnt1enYUZWiQtYNSeIZnm+Qx0yWRGHzinisX5mAfNclKHBbwvK5s697qDjbMulWIrSIb39WgPQXZ4zmU7Ev5TXEF5j7tlBZbIh0RYOk6SWUT4jSyr7cn+ChsiVKBJduthkJpXhtdTaurM2mkh6O3iRv9muCcY4/NlOZkHji07z3MZUAJxTTBFOZvCYRW6ZKeM0V4uPP/s5xXEJ6lbnaIdPZmvXox/1CMFYagT3r0rCzJoljfQKhPBbTVNJvaMrE1WtSsLUyQRkMLsPs5eXycnn5Zy0/PwEsxQfjHAQFuMR3SgbgNgqHdTHeaKRA6EjzRjvBT17TSQac9RRGgxzcJCj/tWvSsbMgAttL4nD3cC3u6FiJacLE1IpkTNfmQHKoSwguAbntHLg35YVhkgO9pEMc4ve+gmj05kWhKcZH+RVuKE8h4CVjR00mrlqTg60rUpTvqITOaSZMdRDOJOuXwJoE8pf/t5Ql8/wpGCCEjxFgNpQkEQgCCGURGCLwiR+bxIoVP7jeNAp+ll2y93QR4MQ62kNAzCHMBhIEfJYaID/ICd0s1zAHaon3uVkmUbCMUjejuQR8Dv6d6UEUPhLrVUL1BCmYlkw8nSyfZMBRsWcFdgUuc8UHmcBLOJZICxI2TIBzsjiJEBlPoSvAzbovilNxRpX1lbDVnSblj6ECIBnVEjFOYJbJQZ0E3o54X2XVbpGUm7yeAK+E0RrlebvTZPJeBBUByVYUqPz0JBnG9sokrOc1+tMIrKyT+oRANKXORZrYvCaZ90KBzbqVZBFicR/OCeW9UTEhFMvEMHGvkCDsEvFgQ2kc/5d7C1XtZTibCkC6H0HRHWujPFAZ7EhYdidoeaEi2BprCLrdOXGIc3GAEUFWV1Lb6uhAX1MLiw114GVtiNzgxRitdMWto1HYuzUd7922Bsde3IzZr36L2WNPEmbfxsWZLzA78xVmznyAcyffxBkB2iNv4egXL+OW6Q6CIQEjU6I+EPDZHiSCRjefSwvhr5UQKT7bogh0ZIYSZiNQHOmHZWZGMDcxgZ3lUoT4uaA8j4rZdDHe+NMQvn7jSnz91vU48t5vcfyT+3Diy0dw7uAzOP3NUzh76Fmc/OZJHPvqSZyQxAkn3sefZw/i1fvuRBXLUejriRXhAcj19UCykz3SXJ1UiLBKAnORv8xw98eKEF9UBHmjTbJ68TlL5ANZW1JD0ZYegjaWvS0zkn0kHhuqcggTacplooX7yLNrzyCo8z5bCMGVUT5wZ/u1MtKGFxWzSHtjlEdYojfLFr9q9cP9oyF47do07LsxE/tvSsNXfyhSQHvsidU48dRaHH+mESefa8HZt4dx4ZNNmPl0M85+uBvHPrgFW2rTEGa/DPFuFtjSFIVPnxjBuQ+vw5nPbyLk/xKz3/wW37xyM1YmhsBIUxMG2vow1NVVYdh0NOYyv7ktM0FfNdt8ZSKCqTQ6Eboj7U2wInAp2+RyXFVthxd3R+LYU6tZhl6ce3eUYN2Nt65PwXObg3HgoQqcfrUNJ17swLFnevH49jL0ZfuhI5XKQLALVoe4oJbKwrr4AKwOd0G6myXr1gFVEW5ULpxRGepKhcID5UEubKvyWl2ipUShMyGAAEflRvz+E304xgSgMd4DrYTRLp57gGOj9AXJFDjMMaqP0NmbRMWcY4yEIxxk/5omwE7yXJLKejuVdEn73JcazH4XgU1UBHasTiHspqjJVvlu5lgT6cH+LG+VJEmNP/sWx8USjhnlkdiwIhLXtuRjT00y+6EoOf4cWwiSvM4G9rdNHJc2lKdisiAJrdEuCnYlSYyk8hYfdoHcjRx/JtjnxV1hQpTpgiDsrKKClxuoJnH1JEmoRXeOQwGYLo/CjlVxuG5dKrZVxil/YEkMIfGrW9l/hznOb6xNwkQZz7sqFltrErGrPhO/7CrHlc0F2FyVjivXZbG8abimPg8bKtMvw+zPLW+cRdzUGdzz7aXf/9ry8Vl07DqLp49c+v2/brmAp39zBh0Pnb/0+79h+fYcGqdOY+cbl35fXv6fXn4WZvs5aI9x0NuQH4phsXJEc6CTOKEcyGVS2HhhKPoyxcc0CE2x8gqasMb9p6j576rLwm09K3FDaxluainDNavSsLs8mQNyNjbXlhLYEhX83NJUgOurErGnnMDK62xdGcvzEoZkAtLKFGxelYmJ4gQ1WzjPyxqthE15nb2nNguThMDOZIIXBceqEAf0UQCsJ3hL6kSxjm4kkI7KDPCSBEyUxKvX/JKhbJBAKmGqRjgwyyzjsYI4DsgJ6lMmrY0QFGV/8Uftyo0hGESoiWmSp1ysOkMKQiMwIftSMI2ksR4IDhIXspew15ISqNJaCiAPUTANUciIRa2XQChRFvqTQyhQKKAEjAmw4+I3XJGFccK6pCXtzohGewqFV3Ee6ygFEwRNlWGIACOT3cRa25dF6Iz1hgTX70sPxzj3kXBjg1lhhNxwjMo9CCTnx/BYCRkm7gaEHQKbiltLAJeQZBsIEPJKUCB0Q1EE9tRno78oGasjvZHjaEvQ81UWrspQW6yMcKKikIwt5WkU5OEsm0w+S0Ut20WC42I1OaktNZD15IXVEYSFQCs0hdrxvn1Yf96oDnFGdaiLiqnZwvqoCXdi+d3QlByMFE9nmBJgNecthPbChTAg1C4y0IazuR4SvIwxttIZN3SG4LEtWfjod4049epmXPjyNlw8uhcXJQTXzEfKd3b2HD/P7cfMqXdw5vCbOPXVK9jdUq4sb50SezWLUJ9F+I4PoYIwB7JqYiDrs138i/msNlHork4OhfUSMywxNoGDpQVCfF2Rz7a3czgLTxKmP3luPT5/ZTcO778dJ794EKe+3YuzB57Cue+ex9mDL+DsEcn+9QpOHn0V5059iB/Of4enbrsBZcESLYLKRnIEqsNkcmQAWrkOZkazPvyQ5rSc4M26CQ1AXaRMXgxCZ5y08SB0JIYT/v1VW1xLZUVcYIb4rEaKkghaUazTSLRlxGJtUhi6cmLRk5fA9huLhtQoeFqYwFJfCz6WxohxMiPMWmG41B2/ag/AH4aD8MZ16XjtymS8dW0SDvyxFMceJ8g+WYcjD1fi0KOVOPp0A07tG8aZdydw5tOtOLV/J44R5nc3ZiqYjXO3wvSaCHzy6CBOv38NYfZ6nPz4Khx953o8d8d62C8yhsa8+VRW9GCkq4dQb1eEuNjDVFsXi/jci2PcMF2XhgQPKziY6iPa3gylfoswlrUcd3f745t7y3Bxfz/OfzCGEwTZt2/KxCPDvnjnV+k492q3cjk4w+3f7+3Fw5tLMVYSzj4UoBIarPS34zOWLH4hyoIpkVhkUqL40oq7kyREqCfMNkR7UyGkMsjjxJdcsmNN5EarUHQTOUEqMYhKWZvoSYDlvlwlFmu8qxFK2I4l1uwkFfHN7GsjVGSvqmZfkWx5VN5GUmQCVgjHRo454l7D604SdHfVpOCapmxcuZZQS6icy/RFpV/6u0RWoYJZR9hujnTClasicX19EnZUJ2L9CirUhdFU8BOxvSIRE+mE6xQvKoq2WBNLeA+2Ql24PaY5BkyXJKoJm2tD7NEa6UKQpdIqcw6S/TDBMbsjwUtNkGsMk+gF3gR2cRvw5tgURPD24pgSjA720ZVBjijztWdfCsD6VRyb6/OxozkfW9ekYU9DBrbx+W1cnaZA9rqOUvx+ohMbVqZyTccU+9Tkyqz/0TD7xX2nFVA+fe7Shh8XgmYKgejqdy/9/nG5BEp9T124tOG/sPwHYPbUC2eQsv4M7vz80ob/zuVSHXQ88V+51/O4dftppNzK53xpyz99uQyz/79afhZmJSXqBmrsm8RnUvy4cv0xTDDZWBSOKzlQb6+IxHSRhNuSrGDhGOHnNMGsNiEQGUGuKCUw9HMgEytEB7X5NgqLjkQ/Dsxe6CHw7FmdgFs7i3FrRyFu43pLWx7uHCzDze2FuJoD456qFOxckYqdtRko8LRF4CJdBC/SQbGXJQYy/dFHQOpL8levt1v4vSHSGasouCKsDBG53AhprpZIdFiGQh97FPs7oi7GG/UE0jUJhJecBBR42SHVczk6CHxb1xRx0M1SvqVtET5oi/IkCEooLwoM3tNUaRKaEkNQFebOa0n4r1jsWpGOkfQwFX9S/FHHJX6uuAgQniWjmYTxEjeIMRFuBOX15ZLlJwM7KzOUq8Ek4VLcHyRM06TEaCyZs671ZBJECCBjWQRSQu+EgCeFm4STknBCHQStgSzulxqN6ihf5dvaTIErIbjE4jhSGI/RghhMEuTXsc6bEiTnfCDGyuLQnBqE+gRfNBO4VdIICfFFOO5hPUoKUIku0ZsdA8kgNchydVPwKVcDQnQXhXUX95Hg8hJNQSavjRVFq9ebqS6WyuJVH+uDaT63Jp6vNMCR2+xRGOSEUoJsY7wvQT1c+R5voXIzWcr7JzC0EybzCIvWxgbQWqABbQ1xN9CAmaEO7JfqIcLdDGszbLClxgv3TKTi9RtrcOCpcZz5+CZcOPoYZo++gIun36EQ/JxA+wlh9n2cP/Uuzp+g0Hz5PoJ7PCqjPFDHe2pOjyQgEFz5vT0ljPUQgmYqInXxAWgQn0pCbV9eDNZlxcLdxgrLzBbDydoK/h7OyE4l4LQk45GbVuOjp8fx/ae34sj7v8WxT+8hzD6M019LWV7GzBEC7OFXcPrQSzj23Us4e+oj/HDhEJ6582bketijItADa6MCUBvpi9pwsXJJgo9wlAZ6cnXF2phgwlIM6qIDUB7sjiI/B6yO9mU/SqRiEKn8K4eprF1ZU0jlIoPKXjLbENst20xrGsueFIHGZMJcBuGrIFH55gbbWWA5YdZtiQGCrA2Q7bsY3XmOuK7JjzAbhhd2J+LF7bF4+9oUfHZHHk48U4fjT67Byefqudbg5DP1OLevHxc+nMTsNztw/v2d+O7pHRgvj0WInTmiPG3QRoB87s5ufPfqTpwk0J7+6Aac++T3ePTWDSplsdY8DQWzy8wWITsqDCuSohHq4gyrRaaI9lmOrQ1ZyPC1gY2RPiKsjVHoYYTRDEvc0xeCL/9QiZnX+nHoiQa8S5B9bNAX+29IxVd/XIWZ14dVmt0zL/fg0OOduG88m8qWTBKVWNNUnOI9IaHpBCL7CGt9BL9+tuNuKmqD3KZ8axM4nrB/iUVUuQSxb24r47iW4IKRDIJoQRiVV46DPE6y6U3k8hklcRxL86Oi7YgBUe6Lo6kgyvyAIGyiYri7WqyuHMdq07FDUj0XhGBLcSQ2F4ZhSsbVihisL43kvuH4VX0GriPY7lpBpTuP40ZmoOrT66i4pLsYqCxgEgZrlNcTv9tt5eEqBfjG4kTcsC4fo+yn3fEE7BRvjlsB6E7yYBviGJYdii0Vybi2Lp0Q60vlyZnbCfbcf1JcCHKCUUWQX0vltSOBdRXjS4Wd/ZT1JglWJM23TCJtjg5Wk1K78mPRVUQleVUyrm6rwA2tFdi5OkuFH5QY2b3ZHCNyQqkQR2Pr2lxMledgsiId/fkJ6KRi8D/aMrvvX4fW/XcL5J5G2X1/i2DnCZcCoHd+fWnDf2X5j1hm/68tF/H0zXN1ELfjLL64tPV/xXIZZv8xy/G3cMtYA+qqqlC1ug5d2+7Dx2cu/aeWM/j43u1oreP/3Keuazv2/qRfnHn7FvSvlWNbsenRf14j/1mY3ZgfhIksauEchLeWRHDgDMN0QTC28fu2YnEpcMf6olAO6m4cSL1UhqlOQk6Esw105s2Dxi9+AadlJqgRvzIKl94kDs4RLqj0s0UPB90N5ZHqlWk5QWdFmBMHwiDsWpOIW9vzcE1NIrZTOI5R4GwqjMZ6cSlIooCK9sLVVanYVR6F3ignNBGYBtI4MIvPWnqAiq/YSmitCnJHia8z8gjB0ctN4G6oDW+Cka+5AVyNtJDgYYdAu2VYpLMQga7LUUnAWUOo6iYoiADs5SouFb0FURgikGcGecFjmSnCHSxQ4GuPmgg3NaljhMDXTwASi6nEmRSf4CkO5OsLozAq7he8v+kcCrJCCe+VCgn1NS2TtiTuJcFkKCdWWeWmilMohOKUG8EAIXaIIDJMIbKRULpTcrUTiMcI0BLKR9wFetN53cwobJIEDTznGOFGfIvFiisuFBJgvy7CizDK82VEopxA1CihnQixrawvCRjfmkjhznKPEqhlwpxkaeshGA/xvKOEOYncIFZdCc0lvrFTJYTPrHA+Syl7qMoEJsqJZFsbzI0nJLB9FCViR1UGyxTLcoTz2hFoigvAkMTaLE1Aa1YYwdYV7Vmsq2LeYxGvReFYRbhzMjWG9oKF0FqowXUh9LQ0YC7hpGwNkR1ohtGVnvj9ZDpevH4lPrm/DSff3YPz392D2SNP4YJkAxOr7Nn3uL6J2VP7cOHUfrz75G3KQtlIxaKWysjqUII8lZn6yABCuPhZByrf0jUsYzP/byXQKp9Uwm6osz0sCbO2EvfT0Q7xVBw6q+Pwu+0VePvBIRz7/Dc4/uldOPHlPThz8EGc/OpBnDvyDM4fe03B7Lmjr+HEwVdxilB94fwBvPvco2hmva5NDuP9R6M22h8rA90JbQR+dxdkuzlQWfKh0iSpVUNU0oR4h6UIsjFGToADWvls+gtYr7lUNHLDqbDEop9w3sn9pT30ZMagLz8JbWmxaCXYdnKbWG7bqfhEONnAykgHTov0EbBcD+meZgReGypXHri9Kxh7N8bh2a3ReHFHFD65IxeH/yQTwSpw/OkaQuJaFdHg/NudOPdWF2Y/ncLsu9vw5aMb2b68EWa7GLFeNliZ4odfbqjCvkc34NAb1+L0+zfjzAd/wM3bu6E3XxO6GjrQ1dSF1dKlKE2JQ3txNiqSo5EY4oXUEBdc01uCnEA72LGMcQ6mWBmwiH3ICtfXueLJDdH4fu8afHXvSrx/Uzb2XZPC8q3Ed/dV4+jjDSxnA869PoBjz/Zh7+YStr0gKk5z4egkdqtApyT16Od3CbklQNpFBXiU7VuSraynEjtF5XVjHpUAQuEY2/uVFRG4uTpSgeg04bQ/PYgwG8z+HILxzAA0htsR+HzQTQCeKpP4vxzP2B8kXbRENdgoqaA5Vg0SdMd4bYHZ8Sxf7OD4uT7bn7Aco+YbTHDc215O+KuIJnBznOSYJ76xA/KMS2IJrYm4WiKosO/tIFBOEXR/25aCO9pzqBjHY5IA3EAQrRV3ihAngqejSnUtGfuGWI71+VR8CNWSylbqYivHkxGCpbg89bFexN9+pDAJPdlRaEyQCCQS7ztARXqRrIjDbGcNYX5Y4WeHBtZnLcG/keA/WZGCaxqLqVCloleifWSEok9ckHi/7ZlBaIzzYv0EKNclUdjljcL/aJg9N4Mpgk/dQ7OXNshyyZq4niC35xwOXNoqi4LczWex/9Lv/9LyPxlmj5xDB+tl6s6zyOLn/xXL8H92uQyz/4DlOP40VoWGq17AcekaM1/grhH+/uVbc39zmX1uO6oaCLAHucMPs/ji7hFUNd2Cj9W/3+K+/n7c9QX/O/4C9jTtwas/yPbj2LtlE/YeVjv9Q5afhdlNhUFq0G6npj5C0NlUHEmoDcfGXA7eBMdJERBp3uhNdEeNtw3WhThC0rwmezlhkb4+Fv5iASwMdFAY6ooGDtAZzhbI97REZaAtVgfYodB1KXxMteFioA037hdIIVbovVzNmt9awOvw2i0+1uiJdMZkhi+2F4Zjc1YQbqiIwY2rorC7JAhD8W5qAtlYVqCyXOyggNjDwXpLWSIBOAFbKsW/LAx1ke5YEUpg8LRBhpctymK9kRHqBnMDXRhqaMDCUA/2pnrwJ7DWRLqinvdcHeWFdQTNOC8XmOroQW+hJvwdlqMqPpjnckVVsDOa43zRQfgZzI5EV7wvxgi0G/LCsEGEFwf2KQ7wmyksN1B4TOdGYSo7GpskNBbBdZy/R3mc+OdtZFnFBaGXAlNFX0glCBM6xwgw6ykMJgmrkotfQFL8bBVUEnbFrUIEr7gUyMSVSQpllUCCwmOMgmhrZSrrIQlrIz3UbHgJLdQvM7YpwEbzYtX1uhN9KNBDCOIUSDLjmaDdx+tPU3D2s24nckMxQTCVEGmdhD6xYgnEioIxXSoCOQ6bStLZRiiAeXx/skymkpSWBOvsGDTG+qtIEhLrN47P3HexLqLtl7B+3dUryzaWoTY+DD6ERq35C6G5YAG0CbT6WlqEWV14LDdCVsBS9JV54vaxDDxPmP3soVac3r+F/epWzB56FBfOvo3ZM+/h/Kk3MSOTws68jVPfvoiX796D0ULxt6biQRDpiJZEBH4UviGoDfMm1HoTHAOVEG+O9UN1MIEgylNlJkv28oLNInPYLDWHi7UVIgNc0VIeg1+vL8Vrd3XiyDvX4sRHv8GJz+/ite7H8c/uw6lvHsHM0ZdwniA7e/ItnD76Nk6f/AAzp7/Eh688zntIR20yAZ/w35BChSIhDPXiOsD7XxcTjDUxYlGMQAPreWWAC0p9HFEa4Ix8X0cCqCVqqIB08Nl3cx3mcx1MpxKVHEWlQUJz8Xlmx7IPRijrej9XgYj2jBhEORHM2cZdlxoi2sUMhUHmaEq2x45VXnhwNAaPTcUoV4N91yfh0zty8M1defju3mKceHIVTj1fjdm3WnB+fydm3+vDxc+ncf79bTjw3DYVyzXSbjHCXZYjhX2iqSoZN+9swDO/GcJHD+/E53uvQ19tLhZeoQEdLV3oaGjD05H9PzcJLflpWMMyV7K9rcoKxU3jK5AXYgvPZQZYGWZJxXcZNpc64a4ef7y2OxFnJGECoVrWE8+sxbf3rcB7N+fh4zuKcPChVTj3Rj9OPNeLZ/dUqFfkYi3tFDeSBD/2zyjsqcpUymFTpBvqQuyxOkjCUQVyvInDluIMjFCJlNfxMqGxJcUHW8vCcH0VQbYgVMX7lSxh41Rup3nejRJRgMq8KIASR3qEytkIx8NdEr6Pfb09xgObORbJhClxg2rmb0m0IBbdqTzCXZo/RjhWTsuchDyZHEqFvDgcPVkBfG4hqr+MliRg99pc/LqtjMpqHCrDPKh4EoyzfHBzRzp+3V1E5SUM+cGOiLGzRBz7VE2UG9uUOzpjJP2tH8cjP1y1itC5MoX90odjTBA2S3gygnIHwXaSx29fmYkxKq6dBOgWjmWNiUGoolLRyXY4XpRKeA1iX/Vh33DFEOtPYoa3xfgRdkXRjWP/Zp+K9ENTjDeaoj2xJsIFwxy7uykXtlXIGMf7kQmMBOD/0TCLWdxzFQH1Vz95Df75WawiDN36sIDcGTx2/NJ27nvnLu5768yl37L8gAOvnEXHZm7nMXEE4I47Z3DgpwbdS9D6y+fOYYSQHDd1Fq//ZPtfYfYiXv+NnEPcCpTk/5f7XPp9574ZXH0NgfvSNRvvOY9Tlw6ZW37AF0+cwaqNc+VK2cFzfDiDnf9ByPuex0o5nj43B/ZZv/+XTgIHHhYr9Vk89uE5TO34a1mmnvipYsD63cPtv/mxzi79Zh2+/gDLJwoDj8ti+R77ms/58789l9Tl939zX3/G96/9y/r+m30uw+w/YHmVY2cV9rx26SeXM09uQlX/fcRUWWbx9LYqtN4+h65q+YHQWtWKO9QmOZ4Aq/6YA9v7eODxRyfR9dNj/gHLz8LstMxSlddx8X7ojvEhtPrN+X4R0rYXRWNPhYSjknSIhJukAAo2QoyEtiLMpEUFw8veGVVpFLIVGVhF4ZziZINVYZ7KkrHC2w4tMe6YXhmPkeI4SHzXUh97lLguRluEFa5dGYHb6hLRI9aPICv083Nbpjd2ZHnj+gJ/XF8agJvrCGsUAn0xDljnY4jRRA7gqT7YzEF5R1mc8lnbRgDfszIGuysTcF1DNrZWpWDbmmw1c7yHAFmkLIJmCLJdBicjPXiYGKAy2h2tHLT7VuWiJjsZHta2WGK8CIY6+vC0Msc63tNoUYaKHtDAAVyCmcvEqomsMGwpIMgSxsdYjg0E7/Xymq8wEttK47GrMg3r82K4RmNDSRwBNpYQGEMIlOxdhMpUP0i+9D6C43BmCM8VhXEKPJncMchrSRzLQQqF4dRgDBPMVoc7q2NEMG2iQN3KepwgvEwRUqeyoimMU3B9bT42814mxW+Wx4i7gsT/7U1lWcvE4htJYPWhcCXgZUi0CZa/OIawRwWBx0jsy13V6eq1qYQWagnh8+Ozbk/0Rn+GPzbw+D0rEnFleabyxdtBRWJIgtHLhLckX0xRsIsrxVhJIkYlwkRpLFrTQ5BLpaI40B4tFHBZgcuwNike4U6OCmI1FiyENhUMQ10dmBvpw8vaFOl+5ugq8caNPQl46soKfP6nLpx8azNmPrsJ5w/9iTD7Bs4TaM8fe5Eg+QIuzLyHE1+/hKdumca2+iwCCZ9PWoCy8k+zPtbnEwB57dZIT/QlBSor+2BGOCr9HFHmboeqIA+ke7jB2nQxrMwt4EiYDfayQ21eOG5aX42X/9CPL17aikNvXo3jn/6WEHs/zhzaS7C9F+cOPY2ZQy/g7NE3cPrYfpw9I+lsv8LXbz6LCQKVWH07CxLQnZ+AHipLbcnhyu91sDAJa+IIBVRgJCrByjAqiVF+qIsJwooQb4RaLkZ2kAuqCd8dhLMWQmAPn7NMEOtKohKRyXuisiRpmUepSGyqSMYQFZC2tCgkUcG0Ydv2Y10muS1CVYwNmpNsMJplh1+v88J9fUF4YVsSPrw1Hx/elo0v78zFgT8U4ciD5Tj7Uj3OvdqIc/s6cfHTIfzwxXrMfrAN3795vfLVDrY0hZfVYgS42yCB48S62nRs7anAvTu78ccdvUgN88ECwqzGAi3ozNeCr4MtcqL8URjhh3IqOquSg1GbGYQre3NQHGqFAEs9NEZaoD12OdaXOOK+0Uh88lsBa0niICG4OnDi+Ra888t0vHl9Gr64pwzf3FuKs69348BjTbijJ4bw6QaJYlBNRaCLz32AdT3MOpEELBI1pZV9vNJfMllJTNQQ9r8QKmr+WBPmgjVB9miIdmQb9lRvgCp9eF8WxqgIsCW48lmluGIsyRmj7C+i0I3nRxLYCLwR7uzvIdhdEK3GyF7Co8TEbohyRVucF0bZ5iQ+9Lj0A8LqAKFxM/tGL5UoyZI4wH7eRsgd5LGNbAftbJ8DeZHK774nyU9ZgYepdK4vicSWmiRUEMqdTHSxVGchlutoImCpEZrY9/pYFjEs1AU6K2PDZE4ArqziWFNIRTXJC4Psu5IgYSovFJtKo6kI8Toco3pZPnlDUR8XjCJPA8I7gTQjEs3pkmSF7YjKl8TRFteuZpV2nMp0VhzWRrhhDRWZ1YE2WKfikjtRbrhReXTF1lJ/bC4JY53PZU77nw2zl/xm118CTC4K0sT6+sN5XE1omnrh4twfx8+hj5D0V3/ZP6t9BbzqCFQffTeLj547izoCVspV53DgR8BSADoHXn2/OYsHn5iZe23/N6D613PtfOPS9WT5V2GW5ydo7uR5Xn9rBg/eOXfcyHN/9W39/qm5bWU3Eja5z+ss18jWOQD89yGP0C5AefMc4P+lfv4GKn+EWe63nXD93FxZ7rxx7hq//PDSTj8Hs9yn7s5zePHd89j/Y9m4ll26r/3v/vW+fuqz++N9jTzAOjzO+iZ0l7FeC1j/f8HtyzD7D1hm8cLOn1hmZy9ZZn/1oz+OACph98VLP9XyLe7q+RGA/94yux0vHH4a21tvxLt/147+q8vPwqyEtVkd4obacC9IxqJ69eraE+uoiYsAllnTFRS2eRS0aX7uyAn0Qpi9BUKc7eBNMLFetAQRHo7I4sAX6mgLj6XLkOzthuIob2RIXnZu76RQ7i2MwTiBaKIiHt1xrhhJdqEQCecAnIxdKwlTZbHYVhhOMI3A7d0FuFK2rYjFjWsycSWhdQeFyTZCxq/WpmNbOfeVCU2Eky0Exj7ewzCF2ZbSOOxZnY6r1ubitt5V2LI6E6PFSegsTEGynzdWZyegIS8NDelJKA/1RVVyJKrSE5AYGADn5XbQXKALLS1d6GpqI473UBcTgPIAJ6S7WqOOsC/Bz0fSArGjOBw7SyIUUE9Llh8O/CMEU3nt3kVoFB+0tjhv1qMrBjMlkHsYBlk+CWk2RCEmERk6kgmoFLob+d9WwtfWknhIfN5uiS7AutpJAbSrIhYbWScbCLwjacEUilHYxu+TBOjtFJZXrkhSv6+pSGB9xWNzaSQBOBATLEc/IWiIQmpKjiHsT1IAC1BvIog2EZxGi2KwoTIVw/KqtbEQ21lnPcmeXCVdpR8mCeyDFIZ9WXK+CPVbQgn1UhAPyWtSAXlC7nReGIW9pPLkf5n+6Of9jRHeN63MxMa6HNZ/IoV1EhUcdwzmpyPNywO6CzSwcP5Cgs8CFdlALLM+NqZI9aISkeqMqxrCsXdbET5/qAsnXp/GxS9uwYVDD2P25EuYnXlnzt3g2BuYPfU+Dn70HK4fa0ID4TUtxANrCdt1bLONSWHKDWOEIHFtQy6uaioilMUrGBylMrC1gIpHRSq60+PgYWUF6+WWcLS1gqfTchQl+6rkAI/9shZv39+Db1/aiBMf/gqnv7qbAPs4zh54DKe/eZzfn8P5E2KZfQdnTn6CC+e+xHdv78VEeTx6cmLQmZuA5pQo1It/bAbBJj8OAwK4WZKmmX1LQoWlhis/3kauw0WJ7H8hKGEfKw5yRwXhoTrcjcoAQYEKUntqKPtrAMEnFiOFsSpiQ2dKCHqzqGxmxyKffdTeRB9+VkbIC1iGdSlOBCd7PlNLbCqwxl2dQXj96hx8cnsxvvhtPg7fX45jf1pBmK3EiadrCLQSmqsJZ95uV5bZC59txfkvf4vbB+sQa70U/suWwNvOHN7u1oiN9sHK7EhsbFuBdQVpylXjiis0sXCBJp+vJsI8XJEe7s9+54qVSSFooCLYQUjc1ZKIkiBzeC1eiCwXQ6wONkFnkjl217njpWvTcfiRVTj0cCW+21uH8+8M4+hTTfj6vkocebxW/Tfzage+emgtrlsXgna21U4+b/Ez76Zi1RAfhNURXqgneIlL1AjrpYHfO6mg96ex73HtjvfESJ5kxvJCW7gNBpNdsaMkBG2xTljpIxPzXLC9sYJ9MhCTKZL+1gdlnpaIczJCtqsF+zD7Ui7vJ9AKw+kE1FwqJVHOVJCWE5pdsYbHV1ABrZE0twTIEULqjhXxPE8omsI90UGY7pAJmuIekRGqLJ/tHFP689leozkuStgs9qlegm03y5vosFS91fJYYgQXQz0kOy5je/IivPspNy4JiziQSqUzyQP9ibxn9svOKBf0JrijKdAO60Id1eSvQm9LVIa7oIcw28qytKWFozmZcJ4UjDUsT2WsL+oSQ9HKdjnAMU3ij2d52KIi2AVtkbyXOBeMcAxoieEYIeNblD36om04Bvpga7YXgdeT9RKI1lg+x//hMCuAKIB066fy4wIeu+5HS+SflaU05UcQu+RfO7cfF3FRIEit+ju/Wnw6Z9n9C1xeAtDNr/0EUmX5Caie4vcCBWA/v89ff//9ueasp38FxjkIj7vmHL6/tEUtH55FmbrGpd8/t7w751ow9dKla/B+5Li//L60zMGs+A/PPR+1XHLbaHz4R+vsz8DsjTM4dWmLLHO+yFJnP73GJUv4X6zms3iQsFx294/nkuXP2P977vMTZeQyzP6Dltl3cWPrnD+s8omd3Iu/egdcgtmfWG7/ftuZD+/A5F98Zt/F09taceM7c//9I5efhdkgcwuE2loj3MkeSe4e8F2+HAEU7H5WNvCwsICT+WJYL5YJMgTXJVZYpGsCAy0DGOkZQ1+Hn1raMCWQLDXQx2J9IywxNMUi/rYzXwQHS2s4LlnO85jDgYOxm6UZPC1NKRSNkSSBu91tkEWhXRnli3UUeCtCPVFG+O0pycHKWA6wUT6oIRRLRq/muCCCYjiBKZaCn9CXm4KuzBg0E1pk9nc9j19NEKhNDEdnUTq6SzKxMj4c+WH+yAz2R3ZMJCoy07EiMwNF8bGIdHdCgJMTwjy94WblCAMNA2gs1IOmhj5Xbehra8DJzBD+5maso8WoYhnXEzbGCfzbi2KxJTcCG7NDsZ6wNJASTMEZhq7UEDV7WjKiSfD1dTEyySIAfSmSYtKHQioG0zJxjBDeL36xCb4q9NVQqlhQoilUk7BeQEvcEVIInmK1pbAU14AxAtDVKzKxm6A0lhWgJqpsLormGoMxHr9Z/J3LorCegL2LkLq7Mgvby9OwszxFzbyWNJVDORSu+eKfl6Qme61fmYaVMRSEZYm4sr5QWYIHM/0wkOFMoeqPTRLzl8pCV0qAClXUGuWJTgqyTslUJNalLIItYVdSHctEr3EJJs+ydYuQpeKxSSaAlSVgkrDbSbAYL04lqHnCjG1m4bz5yjorfrMWRjoIsF+EVB9z1MbaYme1Px7ZmI13bqvFsRcnCVW/xoUD9xFgnyTMvo2LZ95TaW0vnPwYX7z1FGEqF0HevnB1cYW5pQ2WL3PAMpOlcF68FJFOrohwdUGUqxsiXRwQ4WSLrAB3rKSC1pufhC1ryxHr7webZcvgaGMFfy87ZFEgj66JwkNXluG9P7XjfUL14bf34NQXv8OF75/EuYNP4vTXT2Dmu+dx/ujbOHvsPZw9JRnAvsLjd1yDdYSqrtw4tGfHoy01hqAViz7+7uGz7ZU1M1xZsnuyZY1DL5WYvqxIFZquPT2Cbc0P1XHsE8mEs3B3rEsMpIKQgj5xGZHkHATxXvG9FjcDHiev2Dt4XHVisIpoIAH4V0TaoDPTg+d2IoAtx9Yia9zRFoAXd2Vj/00F2HdNDL75QyG+ubsYRx5dhcMPV+DEk1U49XIDZt7txMXPxjD72Sb8cPB3eOXXw8jzsEbgsqUE/yVwsjWHq6sVQrwJcXkpiA4MZH8xxIL52uw7WjA10GUdhiIxxBdBzo4ojA3D6rRIdJVEY6wmDkmeS2Gvp4FMJxPC1mKMZllhR4UTHp6IwtHH6lRq3UNPrMbxF5tx+hUqNC+04fRrXTj1fDOOPd2MfbdXYmctlS2C3zD7YTeVyW620Zpgd6XAjMtEyjgvDCVT6ZKJTklz0QvEH1VlGWS7Hc/2RUu0EyHTV03OEjeBBkm9nOjJvhSuIgeI32xLtDNirA0RY6WPyiAnjLM/dLLtJ1sbYG2EM3oJ0etCnbE22FFNNlsb6YYcDwtkuixFnq+tikYwzb7Xw/NJIoNxeQPDMaGVACkWdVV+9ruBQnndH6388Yep7HYlU1mkEippxYfyQjFdnaRSeU8URRFgQ6jESAY/P2wolUlncyEP22Pc0MX7lYlvXUn8P8qNMO+qfP+rgtzQTIV8LZXsFkKygLYK/ybfxcqbHIg2jmHtVMrzvK2Q4rUcSV7WVOSX896cCNpUEHhMWZAHUuyXoCvOHRtTPXFnaxp+VUmlO9MbG8V/l237fzzM/tTiegnGdr4xd00FWZd8ZJWF8qf+spfA8i9w+5flEoT9CHB/D6Q/Lpe23/naHHw1/o3f7qXlX4XZvz/X3wHjJZj7FxEX/kOQ9yMc/jTCwyVYvu7c3wDoHMz+BCLVMufK8O/C7F9+X1r+rfv6O7/lv1/+RTkuw+w/YDmOvdP/is/s31tm/w2Y/ely5sU96Lr+LXz73J65CWN1/bjl7b+ZTfafXn4WZhfpLYKxjgkWGSyGCT/lu7GOGfQ0CKvaBtBcoEEBZQA9PUvoaS2Cia4ldDTMoDHfEAsX6kJP1xDaCwmA8wmD8wwIKVr8rQVdHVMY6FnDUNuS/xEOtQiK8zV5Pi2eWw+6FHp6mjo8nwCxFsz0dGGqzU9dXVibLp0LZm9iDFszEzgsNoWVsRFsF5nBeak5nJZYUEi6EYAc4WNjB3eLZfC1t0OgkwdCXb0R7u4Pfwc3kmMANQAA//RJREFUOFs6wnLJMtgTVm2WO8HB1g3W5jawWsxtFpawXbocFqYWMNQyhvZ8fehom2GhhqG6X42F2rzH+VimowufRaZIdXdEY5KE0yJASFikWAqxcA/Cm4TfkixeUaiP80eFrz0qQ90oFARYJC6sD3oJgr0UpuLfK1mJ2pP80BLvS8Hjp/xh+9NCKHwCCbQx2FSaCMkwJrF8h5P90c/jmyM80BTlpfxZr65JxxShUSywGwoiKHgJTREuKsGBQPMUIfL66nTsXpGq9m+L9VLgKtZa5V9IAVjjb40OCcQe4wdrEz24LDFETawPxmUCF4VqX7oHGmPdsH1FBratSONv8fUjDGeEQkKRjeRQIGdypTBs5z00Ecol61ehnw1WhNihPsaFgOWJrvQgnsedMDUXv3O0OJmKRwCW67MtEGY1F2pAR1MDy4x14LncCAnui1ATbY0tK71x92A8XryKsPVwB2bevxoXv/k9Zo/8CRfOvYYLMgHszIeYPfU5Drz3ClZl5vIZmsLYcAmfnREWztdjO9SBloYpdNlmdTSNCM7abJdsf7ymmaEBFS892PG5hqo3DM6wW24NB5vl8Pe0RabE762JwAO7S/DxY134gED7zSsTOPPF7Zg59BjOffcEznz1OKH2BZw//i7On/oE5059ptLt3rGpV0XT6C9MRF9RqpqsNcz77iJ0dmVHoIGw0ZcXhvHSJIJRGgZzCPtsPxIjWZQCiVDRR8VmtDwZoyXJytKY68+2lxiEdSkhaMqMwlpCay2BWRIvCCT3poejNY1AkhGFIOsl8FtGmI2wQkuCHcYKXVn/VthOWLy9IwQPjETjmS2JeGV3FD7/bT6+vLMIB+4rwcEHy3Dy+bU482YXLn48iNkP+nHmg2GcP3ALDj5/FdrTvKnYLYbb8qVwsloKO17Hzd4SYQHesDG3Yt+W+tZV/dvZZilW5cQg0tcVLlZ2KE0i1FO5nFybj4l1WUjwtYH3IiOkOCzC6lALKna2uGq1B57floIjD0pq3Race6cDx1+oxdHn1+Dkq+344dNJzO4bwXePtOAVKjnbV8ur87kkANKPJAV3fZgr+xKhle28jRAqcVjbY6iYZIdggiA7QRgTF4FtJdJ/fFAf5YSORA+MU4HrS/HEQLo3YdOfdZVAOJbJVp7IdFiCZCuxINujPtwLg4UJVLLdEWSmh0RCXam/PXpSQtEVTcWBQNzFvtCU6K3i3obbLEYClYBCfi/ytFBxmNv4n0yabCVgd8Z6YGMR+3Qtlc6qRFyzOhM3rMpRCuxgmi/hMAwbcwOpuHpje3Ui+yKVoiTvOVelVF8VYqs7jmNQMsFd4kSn+mBbVSokda68qZpg/UwRyCd5jW08/+bSaPRR8ZWEB+JKsL6cSm5lAjavSqTiKSEDwzmeUSGnwro61hulLPeqUBfUhTmhkZCe4rCcSogW3PS1keWwGNNpXrizMxPbS0MwluKCHaURuL628H8+zP4ITeILS6hKIVT9BeQuge6tn85ZbH/qW3v+pTnL5L+A1L+HsH8V1Lio7XMuA3WE3xSe+6ewqJa/P/bfgr6/g9l/AXP/Eci7ZG3+0cXgx+WLB3h+XvfBn8S7/b8Cs+dn8eI9rK8ffWb/sl6G2X/ocvA+jFRNYu9f/MW5fHwHWqv24AXlJnAJXH/WzeAny5lXsad/D149zs+67Xia55z94i70d93xD4mS8bMwq0ko1dU2hb7uEmhrEGwNLblaQ1vTFFraRlhAYF2oZQJN/tZYIKBnAh2dRdDUIiBo62E+oW/BAl3MX0CIWGiMhQsItlqEWk1DAqE+wYL/z9eAlqYez2nAlfDLYxcIbGgSIHX0uZ8WBSHhUc41T5Pn0oS2tv4l4aitBKT44y3kf/JdmxCsrf7ThRavoattCAMdIxgQWnR5fd2FJgRvM4IMYUbPTEGqNsusRdDR470a6C2BgS6BneXU5z3KNn3dRQT2pbznRbwn3oumriq3Psux2NCEYG1GiDZHiLUVoqyXI8LSElH2Nkh0d0a8hwNiXGwIEhbwMTVCqpcT8sO8URLigeogR1R5W2MkN5LCI1HN/F1DwVAdaI+GKDfUhroi18saaa7LURHkgq7UUOWbJ7OiB+PcMEJhOxzno/w+hyhoJHGDuCg0igsDIXNPdQLWZwWiJ94drTEe6CLkTEi4L15PfHQlu1pDjCtKA53QHO+FvmRfNIQ6qvNlu1ljmZ4GDK+4AgHLDAmcoRRshOBc8c8MUG4TEsNS4t9KODIBWhXjluWTCWTj2RKlQRJJJGIVBX2xjyPibZbAw9gYgUtNUcL7kdnR1UF2FL4EDN5bc1IU3JYQOucvIFhqsn41scxEF64WBoh2NkF5iAXGitxx7dpAPLohBZ/dswanX9+Ai1/+CheP3IWLZ57C7Nk3VIzZ86c/x+FP3sTaokIY8tlLG9Bgu1DtiO1mobQRKlEL2J4WsI0t1NBhm9WFjmybt4DKykIY8LflUivY2zjDdtly+LnZIZ2CvLMqDL/fnIMPH27HV88N49uX1+P05xJv9gGcO/AYzn79OGYOvkiQfR+SYnfmzBf8/jlumOhAXYI/Olk3TalUcJKC1UTDRj6zZlEkolwJtB4YLInF1MoMTJRnYH1FOtckTJbFU+mIw0hhNDauSEZznB+KvR0RaWuBQIvFCLIyR4qHHVKdLZHquAzloZ5YmxyKtswINErosZQoxLrbIsLBDGXBlhjKd8eeNYHYudobm8vs8ct1vrilyQcPSQKFq1Lw1e9K8M3d5fjid7k4+KcVrOcunH6jHbMf9+Pip4M499EAzn93E85/eguuWhsLbzNDOC9bDAeWxXYZ+wOh1d6G44WBkbLISn81onKaGcP2WhqHCA8bBNtZoa0oBVsby7CzrQK7OqtQGuuHDIJwkuNSZPkvRmmwGXrSLHHvUBg++FUevnuoCjMf9uP8h504t78dJ15rx/kPxnHmpQF8dvc6PH/jarbNEIznRxNKw9BKxaxSJqeGu2AsSzJ1hVGJcsWaCEfkey5DPaFRopeIm0EXlcmRjAj0EGzb+bsnw58QS6BNJ8wmUwmlIiZ9sDbcm8dSQfOwwroIB3QmeaKV/bUm3JWg54GKEGdkuC9HvpcNRiWSRrQr6gIc0BDpge6icCpJ5hyL5sNs4UIspcJmojMPCY7mWBtN5VYmlBVHEka90C5AWxqDG+rTMZEfgem8SBUVQbkb8DydSe4Eax9srcumkid+uOzXueG4qT4FV62MnnMfYj+XxA2SwWs8P1T5jl+zJg3bywmt+YT40igMCTSvSVQuT32pAYRuT4zm+LPsAZgqCyfsJmBLdRK6s4KxLsmLCpMXqkMI6hkySdERvsZ6MJg/D5Yav0C2lz3Cl5miwscK02URVMBlToU9xy0PbC1L+l8As5eiFOw6hwfl86eTwS4BVePD57CTkNe49yfW00sw+l+zzBK69l1U0QP65Px/gcBLy98f+29B34/XOzQHc/8Zy+yPr/t/bl31wF/L998Ps3MKRcqus3js41mcOjnnknDZMvtPWL69D/1VBM+fPiYFsz9u+/cmgP24zOKt67sIvWfmzvmXCWQ/nSD2X1t+Fmb1BFjn63MlvGqaw8TYmbC3jADI31qGmHeFDoHUgIKfkLBALK9zYLuA0KhBAaapQcCkEJs3T17RG0PjCn7yv4ULDRSUzr9inrKKaRI6BWK1NY25n9HcebmfwPI8Au/8+To8hw7LQUAmpGoSTjQ15NXl3LkWEqTn8xpXcJ8rFuiofeZx3wULFxF8bVheG4ILIVvDlOU14b0QmDQXzR1H0NbUNON2AvYCM5bbQu2nweuKhVlbYwn0CPOG+ub8NOc1L1mZCD/aOgLlBgqatQlJhlpcNbVgRAgy1tKFGWHcTFsHJqyLxXp6sDAwJvgSfo1NYGNiCn9LC8TaWmNVkC9WxwRgVYQf1kX5Eia90RLhTuHJ7VE+CLBaBHO9BYhwtiAghmBafG1TvLEpLxg7xR81PkQlj5AsXPlO5oRhZ4xmhWI4xQ/bSyNUaLUuCqB2gkSPzKAuicOm8iSMZYehJ8lXCeUSCvy6MHfUU6CvoxBtTQ1GSYQXAq2WIc3bCl05YdiwIgUbSpMwQGgV/7dOnlPCHO1YnYmdFKgbShMwVRBH2E7CdH4yxnPEDzUau6oLMZaXiImyNLSkRWJdQig6CBuNkqEp2h0tAh28Xg8hL4B1okshL1ZSPW0NLDPVg5ulESIcTVEctAw9mY64viEIezcn45O7V+L48704//52zH55HS6eeAizM69h9vR+nDv9GQ5/vg8tVatgqG0MPcKsUoK4LtRi+5SVio+0T3mLIEqXBtu0KFELpY1xmw5/L7NwgJODF5zt7BDkYY90iXRQHIBbpzLw/iMd+Pq5MXz32nYc//DXOPnJnTj71b2Y+eZBzB4mWJ98CxfOfIQLZ7/ExZNf4OYNPchytyPAhvJ5+/DTE78czMJTNzXhmZu68PCeelzbnobp1ZEYXxmFzbXpuLGrDVMrUjFeSliR2J2Vqdi8Mhc96ZEq6UN1pB8K/VxRGeHDZxSJQkkb7GqJTG9bFIe6oCbBD605MfyMQKyrHcIdFqMm1pYKiDd+1R6GWztDcN0aZ9ze7o9rqxxwz4A/nt0Ri8/vLMU3f6zEx7en4tBjK3D82XrlO3v65XrMvN+N058M4/zR64HDt+KBqQK4G+timRHriwqb1RITLF9sjMVm7GtUFDTZ13WosNouXYQ1BKzmrABkBVojxtUCK2LcCO9UgEpCsCrRB+6WZlhmoIMAQndugDkKvA3RHLsE19S44+HhSHxwexGOvdSM8x8P8ZlPYPaTMRX79ixh9tCjHbh/cyHrxlelfx5le5LYy+LLWUvAHM+WSB5sa1TGOjNDIemvy0Oc+DtETXaSRCcCamsIuw2xnpgsjCGIuiuXGclkJ7Gym+P90cTj6yU2bYo/gVBgzU1ZcevZV/ty2D/ZT7ozw9GVFoxhwmNDHPuJRA7IC6eSEo+W0mjEeFpiqRZBduECWGtpUhFZhmIqdyt8bSHpYicJpfLWZoj9Xd5iSBzttVRS60OdMUjIlpS0E4RUcSsaKwjGhmIqkHJvEU4YSfOkAuuqUtOO8fqtPN+mymTsrsmkYpTIPjnnnjRFQN5cmcj7DkFbsj+V2QDURHgg180ShY4GVJicsCbahcBqh5WBjughzLanBqKXx64Js0YL+29psD2y3MwJ91aoi/LCBiq2MnHRzUQLQcsXU0nzRFOsE3qpEIxSmfjfALN4bc7KKhbSv4dA5V6wgyBHQPobcP0/8pn9OZj96/YfJzfd+unc/arlPwOz/K0mcP29pfff9Zm9gAev4Xk2n8Gdr8zgxb9br5ZrbP9rzNn/dpg9OYORvzm3LH/GR/dwn8sw+w9evsAdXVXov+3dS24G3+LpnQ2omt6LH421fxua6zjevX0EVX9vbf36PozsfBrKoeCHv1pm8fV/g2VW4wotQp6OgjrNhSbQXrAYWoRWgTcNZfmU17b8rbkUujrLFfjp6Fio/ecgVSysBISFAoWECe4v1tuFBMj58rqXEKxcEHhObS1T6OstmTvnPH0KQEIqrz1/nhYWzCPQElbnE4bnE1g1eIzmAoIvV42F/FxIgJ5noCBYoPeKX2jxuxau4P4LCagLud98rgsXmhFazFiGRbymvF6WaxBm+F2LcKvJ8s/nPS5cQCjndimzjpbc2yJC/FIY6C/jfqZquwbvTVeX3wn22oQegXSxLmsK3BK2dbRMFAwZUiEw1jGGmcFSGAkU6y6Gsf6c24aprhkWaZvBkr+tTYzhabkUcc7WqAj2QCNBZbJIYsimoDY6BLHO9vBabITO1ADspkC8rioBm3PCsVFCpGUEY4gCS4Km14e5qOw+m4tjVAihDXmhKk7mJgKtxKecoCCSdJnDWSEKRDdJes2MULQmyExugnR8ML/7KL+9XgkBVpqIwcIoTJXGUTDGoiXcE4OE4K4kTwyk+aIjzpWfwdhSkaZcD3oSQrC5NBk7q3MIXunYWJGs/ttCIbetKg0bq9KxaVUmtqyWjGcJGC2OxUhxErZUZ2OiNAUFQV4wonCXqAba8+fDVE8LloZaCLA1RL7fYjTGWmJ3rRce3pSAfbcW4MBjjTj79nqcfX8LLh65nTD7ImbPvYuZs5/i2JeE2ZWV0KXio6NtAl09rrrGBFq2Ty0+Jw09trc5cNWgEqS5QJQt+W3AtmimLPPWVi7wcAuCh4szwjydkBzihtUZXtjRHomXf1eDL57uweE3NuHkR9fj7Ce34tRHt+Lct3/EhaN7MXviVcwcfwczJz/BD6e/xhsP/war4/zQmRuBofJI3DxWjC9e3IELh3+Pi4fvwfnPbsHHfxrHbzcUYldLLK7vzcCelnSMlYVhuiKKSkg0NlRIprp49BFIxghOm1emKKv+pCT2KEugkuGJNYS36mhvNKcEK2tfsa89yvlsvS1MEWi7BPUZLhgvdsJt3SH442gEbmlyw21t3ri50QV/6PXC4xtD8PFvCvDZb8vwwc1pOPxIBQ4+VIETT1Tj9LOrcfb1Rlz8ZgqzR67En7//Jd75TSNiLI1hoa+HxQZ6MDczwlJTY/YZ9mPCrMZ8DWiyDwc62aA1NwhNKZ78DEROgC1qwu0xke+L8UJ/rIz2gO0SA/YNDRWOLdNnKWrDLdCZYIkrV7KM9Z4KtA/uZRn29RJkJ3Dhk3Gcf3sI514dwOmX+nHXxjxCqjPqo6l0xPkoX/AetvNm1kOptzPKAhyQ726FBrZv8Q3NpSInE5lqI6k8pvphTaQrygNsUOC5HLVhbuwPogBK9A85hytqqeBJwhBR6DaUpahQXZJRrIMgvF1ey4uFVDL7FVDJzAhEU7wX4c4JdeGOajKYpN5eyT5aEOQE/yVm8KHylhPoigk+2/ooD6S5W6IhPpAgzvOz30lihA727WYqP+0s85pQd5bDDU2sq5ZYXxUxRJJASDix5lhvdCdJpAY3jgPOaFcTTdleY6k4JRFs2b+mqzIIr1Qig9zRxnNIohSJWVzP/r8uXhKwBFJJ8kZHlAsGMgLY3zxRE+iAtWEeGCuMU3MUJLNaF6/ZSdBuiHMjqPpiS1Uc+vNY1zn+aEz0xQqWIdLSBMn2pkinAlXqsxxNMf8LJoDJcsmd4F+FzksTov5mkpFa/hqBQGbXq2gGr8zNzP+X0Qz+lfP+i+0X8fSveJ2tvM7pS5v+UzD7VzBWEQP+o9EMLoUk+6n19aeLuFXIOa9+Z+55/PdbZucgPW7rXPQEAex7fjNXpssw+09Y/k+TJgzeiBf+nfixx/87fWY1CJLiCrDwCq6Eu/mERLVtngYFlBaBT6y2YoVdCkM9SwWjuoQzLcKA7Dd/nkACQVFAVqCWACvfZSKVwMNCAqcApYbyRTVSx2rzu5b8Jhxqcn8NgV5eX/YTwNXW5LG8psC1AmxCsHJtIDCL1XT+FZr85DpvgVoXspzzxT2BMLxQLK5ilV24mP8JkBJsNMSiTDDXXsTzLOH5uLIcci25jrb4VuqYXVoX8/osI6+prc1jCcDiciFQq0NI1eR2sfjq6Jqr7xoEdymjrhzD7Xo65tDTWqzcHPQFduU/7qPBsulr6cJIR4fwpgNLeWW7yATxbvbI83PBykh/FIeHwJvCr9DPEVtL4nAtBed0XhSGUiVkmhe6Yt3RHe2uLDW9CZ5oojAbE9eDNJmsIjFvCT75hCIKYbH6DKT4EYC9sZ2QNFUQrgSkhDLqSvZFU5QbBjKDCL3hXMMg2Y8meQ551TmaG4mNZfGYzAsktIZjfWEYJrjPZH6McnPoIkAN8Rpj+ZGEcYl1G4Hx7HBsKouhoBffXIFlL6wIckbTJdiQiW87a3IwWZ6E6thAmOlos140oLtgIYy1NWFppANfayNk+S7G2phlhGR3/HEiCo9vj8cHd63AiVckhep6/HDwl7h47nFcOP8WZs58hONfv4P2qhrW85wypUMFQq18XmKR1VIKGeFV3A7mLeTzFkVJm9v0qYgYQHehHuysneDr6Q93B3uEezki0c8ZJbGu6Cn1wj07svDB/XU4/PIwjryxGWc++zXOfHwLTn/2O5w58BDOHXsZM6ffx6yC2S/wxO27US6z1qlgXN2ZhbfuHcCxfdfgyL49OPz6Rnz/yhievHIlHr92FV76bRM+fmIar/9xBHduWomrOtIxXsLnURpF8InFcHEEpvh7aymfR1GoUkom8sP5XELRkyUz0vm8V6VjG5WGdQnBKI/0hbOZPrytTbE2zQ6bVjjgDwTZxzbH464eX9wzHIB7h/3xwIgvnt0WifduzMSntxURaAtx5LFKfP3HEpx6Zg3OPFeHmVfW4odvR3D+qyn8cOQqHHpyGE0J7lhGmDXV1YMRP430WYfaVBAWaqrxwtRgEYriAtDD9tKR6Yt2lj/R0wprCIjri4IwWhCoZvk7UGFboq8LH6tFSHVfhNVhFoQyS1xb5YaHegLw0EQgPvh9Dk691owz+/pUeluB2ZnXezDzaq9y/2hKcUUHwbQtyRujhSEET0kGEoaVvh5oiPIkpLqgJYlKRXYI8n1ssIrAVxvJ55IqGcNEiQvFWoJlPfuExKudYt2OEtQa49yxNtET7VQgB1jPkysSVZgtUTC7CZySolZisErmrjU8X5mvLdIdLZDlYoEM56WIsjJFnK0F8uyt2P4dUBHiSSWDZYrzUpZWCYXXxTKsp5K3tSwZg+mh6JAJfKyXDoLrUAb/Tw5CVxr7JhXAnuQI9FDplUlurVSSGiMlEUSAcq1oifJGD783shySmVHi7IoyOsb+K8kNejP5LFg/kpK3nffcwTFhsJxjCpWlzkRvFTaxLTkA62K80RhN5YBALmDeyzGhr0CyBEpKah+si7SnYkvlqDAIrVRw6+PdsDaWkFwYyeccjiEqw+tY5+KC0ZsZ9r8DZgWUxDXgp/6ZPy4/ENDW87+/cT/4cfmPx5n992GWy+kZbOa5sm6dmYsb+5+EWSnXv4gzS6D9ecj7819S+/7UL/Zvlkuhyn70p/3vh1kuh/4uvi7P8/reOav6X7KyXYbZ/18tP+8zK8ApMEshv4DAtWCevKYXQBVfVbFoyutZAqaAAlfxLxUY1RSIvXTMQoFQwoTWAoKp2k5Y4H9y7jlYFQuZMY8zUJNxdLTE0iqWYDmvgK0x9yGMaBJc+b+CT3FXEHeBhYRIAUvx2+W+CwjQ865YSHBdgCuumMfv8wi387leQcAlfBMqdXQtFYRqLCSw8rey7C7gdbQWcV1MAbxEWfHkunPfl8DAYAkMDc2VdVaPQCtQq6drwfJJGQz5ew6oNRYKtJtCT8+CgLtoDs55DfnUJcAa6i9WllkD7mtsuJSfPBevJfcpvpriUyjpPrU0BbQ0oa+pDSMNbVgY6MPWxATu5ubwtliMXB8n1FFArAqXGelRFFbyOjUc/ckhGM6PpVAJQn2sP7pzCLu5BFCJY0thu4cweWVFIjYXx2KzzKSm0JZ88RLrdiglkIIuHBuLQynMKLDjPTAiocXSApSf3dXVqdhUHKNCbW2l0JvicTtXxGELwWqSMLxlRTJhNQmDIigJyhP5PHdxNAF3zg9P0ob2ZPmjKdUDVcH2yge4PSFITSCbKIzCYB6FHyG4JMxTJbDQmr9AuRuY6GrD3FAbfhLRwNsCq6OWY2O5K+4dJ4htisCr16fj271tOLGPMHv417hw6j7MnnsBM+c+wulDH2KktQPGl+pZk+1ElwqXKB5aosiwbWrx2cukMGmrGmpyH+teWWx1YEDFyc3BE14uPnC0tEKImx1Sg1xREuOGljwPXNkdhld/U47vXujD92+sx9nPf42z3/wBJz+9C6e/vg8XT708NyHt5Ac4d3Afru1fhySHJRheEYm7N5Zh3x+6sP/uZuz73Wq8cXMx3rqtHK/fWou9O4vw3cuTuHDk91z34uD+3+GZO/qwbU00NlVFY+PKOPTlh6A7OxATrPsNfI4jBJLhjACMErQkBnBLrDefWyR2VqertMU1SSHwNDeBg5EGKsLMsLvOA/eNReOxjXF4Yn009q4Px5Obo/D0lkg8tzUSb1yZiI9vzcVXd5fhyKOV+O6RSpx9pRGnnl6NIw8W4eKHbTj3YQ9++GoTjjzRjw0rQrGc7dRMV5/jAPu4BpUDPr/5MpmPikKgiwf6VhegpShRJViwtzbHYmMT+NkuQ0WEB1aLFTEhAN7LLWBtZAJvy8WE2cWojViG7gQL7Cqzwxu7ovHS7nDsvzkGp19YjZm3unDhoxFc5PrDB4O4+M4Qnrq1Gq1pnoRKXwyzvYnv6QgVpinWxUCyTObyQ0OkFxqiWUe85io/BwwS8CSSh1i7BwiTE6Ux6M8JZv9yUiDcmuSDASpzrazXeiqKlaHOqCacrQp1QF24GwHZS03UbCIUt0syAQLo2ggCc7w7Kn2seQ0blSgmx3U5EmwskGtrjpXsA1URrqiLdkJXvAMh2lWFAutP8UAnFVOJ1TyUEczy+2OQSuY4z98T64cWwqlYYIfYtzcVxWM0VeLbemCMCqVK18v76+K9by6Nw2RpNIayI7G9MhPjOTFoJxCPEYg3FUrMWfa5NEly4I6VIYT2FSnYuiYbg6ynhhhf+FosQim397LuOliHlX7LUB1qj96sQLa7UEKsM9oIs/2ZEgaM9U0oLve3VnUlbhqdWVQCVmdjtDyaY4HEyA7D1Q0l/0tg9v+1hXX29/E835mzMP996t7Ly+Xlf/PyszArllNxFVBWLC1xB5iDUh3xEeWnRCdYoGBXew5UBV6VNZYQLP/NEyup+MwJtOpQuBFCeezcynNxFTBV1lmx8F5yOdDUFIupwCRBlRCrw9+66rU9ofcS7Mo2ZeEkmMh3OX4+rzWPglMg9opfXIFf/OIX6vu8X8i6QIG3js4ywqY5AXQpz02AFUvqJUvsQikD71GTUKomiPH8YoWV8mgqC7OUYc4dQl9PrMG8D96bQLaRgTn/N+L9CCARyrVZZpZfT1sssoRhgrChnkwsI1DJdgKwngavO4/QvkAfujL5TUN8h1kGwqxAlfjlitVQJrhp89PSeBGcllhiubEZrIyMCSZGSPV0xpr4MLQnJ6A62Iew5ATHxUbwc1wOb6ulCLCzREmQO9aEeWCYYCmxMBvCfSj0KPgodNsoiMdzInDt6jwKTwrkKMnd7osmCmuB29H8CPRTqAqsio/tYLqfci3oTJJICGEKZMco+McLwzFdIu4LARhOl4xifhjO9iUkiDD0RSehuC7CGS0EisGiBAwXp6mA/y3x/ujPCqUA9URTciDqkiPgsIT1vkADhjrahFkdLDXQgecyY8S7LMaKYAtsqfTBXYOh2LshAk8Qvj64ayWOvjKAi99ehQtH78SFMy9i5uwnOHvsU2weHsQifXOYGlLB0KYyYWCpFBTtBXz24gu+wGxu1Visnr9q7ypahQb0+Wxd7b3g4uANO/PlKn5yerAbcsNY5xmumF7tiaeuy8Xnj3Xg+9fW4+SHv8TMoQe5PowLhx7BD4TZc0dfx+yp9zBz5C38broNQ6ynR/fU4737BgnBEwTYlfju+QEcfG4Qz+wowgs3VOEgt594exvOfn0rZo9KetwXceKbR/DAtc3oyfchnAWiOc4Na2RSX2IYpnLiMEVFQOKk9nBba5Qr+ghe0xlB2JAXocJz1aaHI9jeHO6LtJHlYcxyuGD3ukDc1hGCBweD8fhECPZOheChYX+8uDMab1+fgg9vzca395Xjm/uLlXX25Au1OPSnUnz0qzicem4lTu1vA47uxJcPrEVbsgOW6UsEErFqyxuXhQpoF86fr1xoMnyofCUlsAyu0J2/UI0N865YoPzM3ZeYIsPLDpWRPgh3soXL4qXwt7JAtsdSthkLjKYtw6bsJbi/zxMf3ZGJg4+W4dzLDTj6zFocfmwFTu/rxoXPp4CPN+G+nYUYyKcyJQpWAQGPENrJtjVBGJQZ/AOJvlgb5ISe9LlMWPL2QCYy9qUEqYD/k1T81ok7QbQbMp3YdzyWI9/VBkXu9qjmcc1xXqgjzK4LZxsIdqCyGIrxkng0h7kSECOoIFJ5i/PExsJATBeFYID9pTvJnQqdG/rTCdaFISqJQ7LLMoRbmaCQkDiYRZhM90Z/ojMVUm+s9LVBXbAjFcYIQi6fNWF1hFA7wr4zwOcqz3lTUSRuXleEq1dls69JJBE/NFMJrQ5xQp6ng0rOMFkWg/pogjshViy6/YTingT/uZS8eeGQ9LYT+ezDJVSQKuJwfV0q+2wwSrxsCeqehFx3fjpSMXbDuhgv9ns/jgUBWEvIXxVkj6Z4HyrPVEI5FrQleGO0iEqWipHM63FMWBPjil3rMjFEpUJcPSQ5xWWY/e9efsD+e04ja89Z3PPKeRyQ5AI/dX+4tNfl5fLy/8Lyb8KsCJ2FYonVFOiU1/2aXEVYySQtwiq/y/8L5wkAyDbuRxBT2wkE6lU//1PAq6y5Yv0SS6u4Gxjwf9kuE6lkspkcI36wc761ArJaCmznwFegUqywsl2AU6ygOpri1mDEa+ti/jwNBa5ilb2CnwKz8imAK6ArljdtcSfQXaIgVkvCiMnKc8sEIHFTUJEUeD0BzjnfWEKu3BPXH3189QiyUn6xBAu06+qIf+BiAq5YbpcoC7WetglB2xQGhG09wpO+WHjFosvrywQ2AV997aUwIGAJzIoLhtyD8t8kzIo7hUR5mM96m0/AknLpSJ0sYB2IRXqeIUz4vwmB18LQEEt19LFYXBU0JMvSQmheMR/arH8D/nZcZIoUdwfkBrihLMwXmS7WKA90IzyGoVb87nJjMFVBuMwMU5aa3uxw9ImrQFEUrm7KxuSKBIwVx2KIArA5xhmtkRYKalXueQKBxLccpyAXsJXUt2O5QRhJF18+H2ytTiS8hqErOwh9BVHoltBDBInRkkQCVTyFpA8GZZu4RiT5oTEjGk5LWW+aWgQjXZjq6BJm9XgPBgi1MUahz2J0p9ng1lY/PLk1Fk9vC8c7t+Th8LPtmPlgAy4e/jUunnwKM+c+wQxhdstAH89hBmP9pVhsagUTw+XqGWlrUpnRkNBcogxRceGqJcqWtHXWt7waX2JEqPIIh6uDD2wtliPI1R6pVAxyCC6rZHZ7viP+uCkZXz7Ri2Nvrsf3b2zEuW9+j/NHHsO5g4/i/PfP44xENTj5DmZPvIND7zyI9/60B988sxuHXyYEvjiFjx9px/lvfwkcuQ2nP7ga3zy3Aaff3Y3zn+/B7OFf4eLM8zh/6iVcPP8WTn39KHa3p6Erwxs1wbaooXLQFB2K0eR49FMpEH/orgQqKoSekbQgTKdJutQwtMW4Y3BFKtL8nOC/zAhh1obIC1yGnkJPXL3WT1lnxSr7hx43PLkxFO//JhMfcf3qniIceYTQ+sxqnHqqht/LcJgwe/q5Gpx5tQEXv5nGD19M4fu9Lajy0scSPW0qgDqsW1GCNdlXtdnmtRHpZo1EF1vYGLGvsr/PmzcfC/i/ygimoa0mR/ovW4x8ts+MAA+4LTOHr+US5PpYECyXEdSXY1PmYvy20QUf316A0y+34dwbPTj7Vg9m9ssEwH78+dttuPjpDjx61QpMrySoFUZiNC8S3SlU2Hj/khJ654okBX4dBC8JPTVBkJW4q32ZQZjgvuJDKgkJVga5IN/fgUqiD1oIYQ2EOZlAKYkWelJ91ESwwVQCWrwXtpayD5REYTthcHNxNJUIT2zIDsBQijvqwx14bRee1wE9Ka48tweVQG8VsSTC1RIei/VRFOTIvhCFSfaZDRn+2JQbolJ6Z/paoYuAPZRD5TNKYjh789l68Nl6oDHSSQHkMPvoQHqIskKvoYIlkUwaWObKcA9U+LtCQnyNEnqrIr2Q4+GgJrm1JwVgpb+jSiVdSSCXSVyj7Mfd/Gxl2XrYXjqpZHZlxRNGA1FOqG6M90afhP6rS6dyG4b6SBeeywNrxa2pLA1j+RnoSYtQ1u2OBMI3y9rNe2lJJMALyKb5K9jt47kvw+z/heVSCKsf3Qz+VfeHy8vl5f+B5WdhdsEVYuVcSNAToNXC/CsWqNf2Yu1csECDIEiYE8Evq7LOyuecVVEAV44X2JPt4vsqYCigOudWIDBKaBVwXSDQKN8lisCcn6mWuBUQXGUCmVhAF8wT/1wDQq74qppyGz/FZ1ZDJn/JxDBtQux8wisBVmD2iiv4/QqWV1518h4IszIxS+KLammJJVauZcz7kIljc361czA9F11BrMBqAhq3zR0vdUDQlf/E55f7iWVJzr9gvoRyEl9Lgq5MNNISy66EBJPkEcaEJXGZkHBihspnUyYgqfpivSkXDd6jTFLSEssgoVpDQyzYUo9i+WYdXqpnXR5rZEBgJiBrzOc1eF49Aq2uvBZXbhu8R+63QOCdz0xNQuM+ujyPsbY2jHV0sFRmnBvqwWGRMdzMF8Hd3AzhjlaIcLBClOMyeBMaZdZ7kqcTCkLdUBruhqooCvCMKBWYf024OwVpCMYKErCpMhXT5YTVXEKDvBbNCsf6olgMZAShn8KxPswBTfGu6ErzQTW/18d6ojnRB3VRkuOdACxJF5IDFEj0JHvxdzQGihPgssgIRgSiRRIBguW1NDGAtYk+PJboIcnJELVhi3BljQsenAzDK9elEL5K8e0jDTi3bxwXD92AC8cexvkzH+LskQ8x1dFKoBdliAqHwWLWGdsX25vytxbrP+tf3ArEGqsl4blYbwKz2lztljkjIiAVHk6BsLe0hZ+TA5ICPZEb7okVFOZt+R64dTwB797bgKNvbsKp93bj9Mc3YOa7+5VFdebYKzh35GUV1UAlcjj9Di4efxWz3/0JR9/ag88kEgKP++HEfcCpB/DD8btw6I0dOPjCJGY+2Uko/y0uzDyKcycew8yJ53Dx1Ot486FtaM7wQJHHUlQRNGrFXSPWByPySjrRF60Sz1QsYwStIdb1VFYwBjIDMV6ThaIIL2T5WCHGcRG8FmkRMI3RmWKF+yfj8PzVaXhkMhQv7UrAx7flYt91ifjotgx8/cc8nHiyAqefqcThB4tUAoVzr7fi4pcbWddX4vwn05h9awhTBc7KMqvFetTWEFDVZHvTgpvVYiT42MPehHXOPiQTOudJP1NvHqRfSAg8fZjr6SM/2AvF0T4IcLCBj8VSFPouIwRZYVeFE37f5IF72tyx/8Y0HH+6HjPvDuLCpxM4/xmv//kkLn61Fec+2EaYXYn1q8KpPMnkJH90pgYRiL3QmRiMkcxIdEkbjPHAdBnBKzMYee5LkOpipvxl+6mItRFeV4c6oiqUoJfgT8WOcEeYa4lwwZbSSGytkGQl/nPKWooPdpXFYFd5AsbzCMlxPmhn/XcneqMuzB7VIXZoiXNHY4QjKgOslPvONBU+cQUoDLBDgpMFFYpE9qNMKoIE4oJopYDUBbsi1mkZsv0csU5cRGK90MT+tFomdlHpk3Utr9NLJVAU0B5C7bo4bxVOrC0tGB3pwai9lFCmi32yhRC+SnyFWbeNiYGsV3usiHDDSgJwnkQyYVkqeX/lBOvSACeVVa45JZDfbdlv7QmtbirCiURSUVkKCafthPsOeVNTloTejHDeoyf/5ziQSKU1Q6zPflhHmB/IJMjGebHPEq6pxF6G2cvL5eXy8s9afhZmFbz+gmD0C03M+4X4nhJk1St7gcT5hCaxvBLyxAeWQkklFBAgk0+xZhJsxcdVTaYijKoIAgQI5RO7gIBBkBAL7FxkAoELQiYhQ8Etj1GRARQECgTLKsfI8Sb8ThiW1/7iYkDAnIPZOV/Z+fNklfLJa06xnsqEMH5esgprKUgWy6wptwkoS7xbiWMrVmKxzklZCeSyjcfLPQrsyO+FkpZTIP8XrJt5vJ6y/EqdzOf9arFMEgVBlzArMW4NoENBrcPfOsoPc87iKlEOBDLFEqilXAyMCcHG/BSw5X0Rhud8kgUKJDGFgKqc0xgmRktharSM51jEa+opFwmJsqDqVdwheN6FLOsCwphMOFMWZVEolKVc6kGD5V7I82sSnjWUFVdPIgewvow0F0KbSoCBpjZMtHWx1FAfFnq6WKZlAGejJfBcbA4nQyN4LzFH0PLlCLZfhkBbc4TyM8FJrL0UaHnJ6Cb4dqaEoJkCVCaSSEieDSUJKtrBCIXvZH6syk0/nheF6fwobC2Nx4ZCgjBhQTKkORrrwkD8ZRV8G2CJsR7M9LXgYKqDGHsDNMYsx65VLrh/gsLxmiR8fFcFDu0l4Lw1iPNfbMPs4bsxc2ofznz7DsabG3lfYgU3m4N7tjnVRlnvKqMblQCpm/nz57E9iIsBnyEVMR0+axdrTyRGF8LDJQBOtvbwtLdDlI87MoLcCYYU8Klu2LDGG49dmYFvn+/D2U+uwtkvbsD5A/dg9shzBNjX1Tpz7HWcP7kfF89/iotn3sW5A4/g4OtX4fPnp3GS8PvDyYcIrg8QdO/AW7+vwWu3VeL42xP44dTdhPJHcPbYgzj57d24cOoFzB5/Bndsq0VtjLOaCNSbFIChdIkl7IP6QGdChTM6CTstEU5oDLJDV5wL6qk8tOUnINPfFaFWJoiyN4OPmTbcTLWQ42qMG5uD8aeN8XhoIhxPb4rC/usy8dLWSLx5dTQ+vjUZx/cW48TjRfju/iwceqgIZ15hXX86jvMHr8GFr3bgzx+N4p6eKLYNPeizDg2pOIkyEuVuiTQ/G7iYs22LQqgUP+lT+myT7LfzzNRbBlHyjLT0EOVqjdUse4TzMjiaGiPDxRQD6ba4rtoVN69xwC11Vri3zwPv356FU2+24eLX66kYbMfsgW04+/FGXPjoSjy+u5IKk0AfATQ5EMP50cry358aQtgPRD2BLc91GdI9rQjPTkhzXooEaxNCmyuhzRPDknaVENYYZIuOGDdMiV854bM33hPr80Oxg210lM99IMFVpYXdVRyJiYxQNEd7o5FKX3dyEFrY7qt8bVUYLYHbrgQv1AQ7YCQ/EleuSUcH77GHsL0u0Q897Ad7VmZhKC2Eigf7AJWS1ghv1Mb7oSjMHXm+zshws0Mj+1BbbhhaCZCNPG51pIeKUbw6ygstvH5DSjDaMyIIoiGojvTmedn/qMyskwlk8n+iP+uDawIhPDMco1Qauwi9q1kHTQThPp67kfusJQS38B7ak31UpIk6gnhVmMTkteT5/NGTzjIk+1HBdUWJ+A6zztoJ0A0E1jaCd1uMP/p5XkkIUx/qpLKRdbKdVkV6ojrG+zLMXl4uL5eXf9ryb8DsQsKhhoJENZmK8DY3oYqgKIKJ/82/QmBRLFtzkKiAUUBBLKdi+RI/VwWcRtxfwGoOKJVQk9/zCV/zjAh28lr/R6vZnDVWrJMKMNSrX5l1TvD8BQH6CvluoKxseuLbShDUJBjOuRkIfAtcsnxiERZLJ0Fw3hVz4b0EXuf/4tK15RoEZZnINk/OO4/n1ZyLHSuQKvcmFts5a7NMEtJR7hNXEFxlFYD9hbqWuDTM4z2JtXruNbVEO9AQC674GwvE8ho6AuUCxIRLgVZ9bXm9LRZW8f/lvSirrikB1ZTwKq4NBFpVt/rQkxn4rBfxHTY1sIexrjUM9S1VDNw5aBUFQKyMUm8C3lo8L4Gd9T7/Cn0+wx8t47wPqQ+5JwW+4tpgwPowVGAhZZHIEsoXmvUuqUhlQt/CX/A5sA61WCc6Au28V+0FhOL58/m5AAYaGjAlxFgSaJxMDOFvYYJEh+XI8LRDdZQvOrPi0ZWZqF5dVoVRuMuknyAXNIR7YzQvWk0e27M2B8OF8bAxIGQTqo20NJSLwSIDbSzR04SVgSYCLfV5rA22VboTZgPx9PYw7L81B9/+aQ1Ov9yDmfc3YPbgnZg99RZOf7cPk53NkMx1+nqL2b6kjubgXltT7lv8OqWN8flQ+fjRxUCHgGuqY4qshAKUFDTC2c4XDstt4W1vjzB3F6T7u6GCEFGb6IGaJEvc0O2Hd+6uwKn3tuLkFzfi3Lf3YObIM6oMM0ffwLnv38D5Y29j9uT7BNrPMPv90zjxyS347PnNOPLWbpz55Gb8cGIv1z/ikweb8fItlfju1Sn8cHYvZi8SiM+9jrOH71X+uBdPvYJ3n7ke29alY09Dnpr1vntVGnatSMWkpDtNC8Bohh8ao51QEbgc5V6L0RjvgZb8OATaWMCWdRtnb4RSX0sU+Vggw8kEzVQOrq51xx9HQvDoVDCemQ7Fi5vC8MbuSHx0czwO3Z+B44/k4uQTBTj9dClOPVmBmQ8GCLNXYuazbfjzl1N4cTwGqUuM4GpsDKdFBgRTS2xdncS6soMlFRKx1C7UkJV9kmOAzoLFMNayxXITTxjpLiUAs90sWoRCXxuCkzlczAyQ6bUULdEWGEq1wJVllri31x0Pj3vjrZsScfDJSj5rPu/Pp/i8t+P8t7vx58+ux7NX16I6whIVYU4EOD+CVwAG82XSUwx6k4PRlxaokpWU+DujIT0Ua7kty8OOqz1WBDop387eFHcqYvboSfPBdGYAriqOwHWrkrC5IBLNVBCmM3wxmeaPCSoRVxVFYTTFn8f4Y0NRHHaUp2FLRQoGMyOwigBbF+aA9nh39BCI+zII07EuqAxYruK31sS4ojjQHk2E3cE0P9RwX0mYUuVDmE7yR2dePKE8DCVBPigMdEUjy9ueE43yAGeVmKHAxwZFfo4qBFtVhCfPKdbaCDSwv8nENLGGro7kp4Rrk4gIvPfezCCMUYGcKE5Et7K0RmA4L0JZdZt4nsGCBBVLt4/tqJ3Q2hgvwOyG8iAnpAQQaoM8keRhi0grUySY6yLFzgQrQpyo2PlhoDhKTRjrpRJx/bo0TJfFoJH31pBE+CbIrozyuAyzl5fLy+Xln7b8vM+ssmaK64BYJ8XKObfO+cFqKjATP9k5C+qc+4CAkPi5zrkByPojnMpre7HeEli5nwb3k20CYH/xj+V2lW6UoCXW0PkyaUuup65JSCVAz5dsXyyPinNLMNXR4LklXJeGgOpf4VXBtVxD/if4qqgK/C2fkoRBwHTuOtyf28W6q7KSiUWZ+0jih/lX8Hy8N5nMJRPg5s+fm7QyT4B+nqw/ul389bf8LyAsVl6xriorrbgCEJYkcLy80pbIBXo6ErlALLHGKsKBPu/fgABlpLsIRgQv8a9VURp4fXErMBT3Av6v6pPl02bdGegs5XeWl8BrpGkJrflz55tza9DjPmKFFICWSA9yX7Jeum+Zwa/AVmL5sj4EnlkPeroOvF+Jucv6YDl1WU6lSEj98DiJpavD+hYL5kLCrHKDWKDB+hEQ1OTzENDlJ5+XAbcba2rB3FAfNouN4WBhptYl+jqwNDWAub4ebA2NEO/mgOwgN7TkxqIuOZRATPAnIBvpaGGxTCrSWYDFuhpYRqD1tzRCccAybCh1xf2TwXh8gx9eJHR9cGcJjj7XidPvTGP269sxc+JVnDv8Djb2tsJQ6mShKApi+Zc2IW2BihGvMWct53PR1FHPSKy0pgZmSI1ORn1NM1aUN6oJYI7WtvB1ckCwiwMSvB1REOqKIsJHQehSCnEb7L0qFd+/NoRzX4mbwV2YPfE8Zs/ux4Vz7xNq3ybMvoaZ7/fj/OmPcIH//XD6AZz98gZ8eH8LPni4Exe/fwh/Pv0kt92Og6/swbH9N+DC8b0U1q9wJRSffoyA/Afg3Is48DZhdm2Sysq0sTweGwkNV1Un45qqRGzND8YGrv3ZAYQcb8KRJWoCndFemA5ni6Uw11qAJCcjdKQ4YLzABXVR5qgOMMKGPBvc0uSBh0b98fKOCLyxnavA7E2x+Py2WBx7OAtnnyvFuZdW4dTTq/DDV5O4cHArZj6dIMyO4clBglDkUoylOxF0zNBTGY/t7VmIcLfFIm22YdazuMKIy5Eu+6aJzhIsM7FjmTxgbWaNRfoGKk6tZP7Kdl0KJyN9pLmaYV3oYnRGm2F3uSXuH/LEmzfE4MM7UnFobwV++KQPM19MYvbwLsx+dw1++OLXePqaRqyLc8OKYBdUh7mjMy0EFQEuqA33QlM0gTHEBc2Eu6nCCEwVx2K0OAV9bHdrIr1QTwVrkPtX+ZtjINkd/TmhKPa3Rku8JzaUxWNUYvumBmJnYQj2cN1eEIotMts/whW1PO+KQAf0ZoRga2UWpgjQQ2neGEn3QVO4k8owJm4gvQTELpmEFuao4HUV4bg2zA7D6V7o5vNqkEgU/F+SJLTEUzEpScAwFZXOvEg0pM4laxBf2O7sYDVpUuLOjhTEEVIj0JYaguEicXmIRa/AsFh+s4JRzfttIpz2EeibeH/1iQGoE0u+gCZBuynRR0VnqIr0IIxG8vwsY7L4CvugMtQFJT5WhHAv5BKopf34WJqgNjmI/dARpX62rGtxW3AmsLLOJENdZQq6eR2ZONpN6JfkFOviWf8s02WYvbxcXi4v/6zlZ2FWQ8V3ldfuYiEkQBJS1EqBr6ITyMr/1QQtTYEsroQs8WnV0jQjUIk10YT7yH8CqgK5cxEK5uB17j/lH8tVXgMraCJkqVf8yo1BQFY+59Yf/VdVlAQF0QRVgVdClgJZBbFyPl6b19Tg9QWS5RryKaCqEi8I5HLfuclnciw/BfAU3Boq6BUf3TnfXTmPuDJoKHD9S9ivvwCs/J4Db20N8RsUqNOFvrgaLBThTdAjhGuyzDKxSPwxBWi1KeDFQiuTxEz1JKmCGUwMJKnCUm5bRLgSC61YtyW8l9wTyyz+nTy3CpvGZ6Jek/P+56ywEhdXrLeiRBDMlbIh+/IYfs4pHmLpngPbue8CoXKeueeqqdIBy37i5qBNsCV48z4E+KSspqY2BFwBQp6Dx4sCoaJd8H/lN0zQFT9IKYMeYV0dK3WgYFEmCGlDX1cP+jpsN3yO+oRfiVhgu8gEYW6OCLS3g6muNvQ0JTSZJoy1tWCmo4klulqwNtKFt7kBCnyXYKrEGfeNh+H5XZF4aU8Y3r01Fwcfa8aZ/ZtwgTB77sjzOHfwTazvaleKgqH2YioJ5qquRdn6sY396Csrn3Lf4iqy3MIaFYWl2L1tF1ZXNcHdyRtOtnbwcWL5nO0R5W6PDAJiqr8dYt0XoyLcGPdsCMX3L7bi2LtbcObAHTh/4inMnnmdQPsmzp96Dee+fwHnj+/D2SNv4ezBx3HhEMH08G/w0T31ePeBdYTgXyl3gz+f/BOB9jZ89cJWHNl/HS6cvh8XzhJyj9+MmcM34M/nnsAXz45ja10UJstjMF4aR/DxU5PtJgsDMZTuriJJ9OcEYIT/yeSeZoJaZ2EanC3NsUhjAWJsdTGaZ4fNK1zQlW6O+nB9jGVbYnelPf40HohX9kTjT8MeeIqKwv7rI/DxryNw+P50nHymDKdeqMLZ19YBX4/hwqcDOP/BAP781Xo81B2OkVgLbMy1J0Q7oLksDo2FsUgO9EKouyssjDkecDzRY7s0kSQi+iawXWoD52WOcFqyHLamZrA0MES8/XKkO1nCx9gE2W6L0UzY7o1bgp1l1nhwLAD7fpWCr+4rwKFHSnH27Vac/3ICF45ehZlvCbNf3Yy37pYwYREqHFwPAVIyfnWI1THeH6P5idixMk1NbuzKDEKVRCSIckUPoUuyf7UneGPHiiSszyeslhFGCapeS3QRarcIxcEOaE30wESWHzZl+2JzugdXQm6GLwYFCCNdsZZAN1oQznMko5cAN5TohtEUD3RHu6Erzgfd8b4YTQ/GeEYEOgmTqwNtkWtriM44R2wpDsKGXJY3ww+rw92UdbQ5yp9lD0FbZqjyN20mYLYmeaMvMwBDuSxznDfWEmb708NUOmkByDUxXhjkPUt86Gb+3xztgfJAR6yVNlIQgwZCaF2sP6qjfZHqYonVEe5okYxmMb7Kz7aN51rLstbHe7N+eF8xbEspQehMCcSq2EBY6Woi2IGwXyJvWbxR5GmFLJelSHUzR4LDIlRHeWGyLANtyYGsE3e0UhEQf9sOAvIEr38ZZi8vl5fLyz9r+VmY1abgmXMTEEAUa59EIZBPeSXLVb0KFxAU65+4C8jEJn5XQCngOgeqAg/iaiCQqTJocfucBVG2CQDLeWVSmOw39ypYRRYgbCh/V4Lgj1EV5vwbZWIUwevSsWJVXEg4+RFKxdIrkDz/Ckn0oMvj5VxiTZwr64IrCOP8LvFkBaLlGIFXyTwm1ljJJib3IOvcNSRygSRkmINZFfJLuSHMuVsIoApY6hLklposoaA2hi0FtK+9K+HHAz52zvCysYel0SIs5n9GmgRdAqCBwC4hUJtlN9JfBAPlN0sYFcWAdT83u15A9BLcE/7E71Um2SwUqFc+iBoERL3/j72/ALPjWBY10W1b1KxmUDMzMzMzM0jqbqlRzQxiRotNMjMzbTNbMltmZpQtJv8vstr7wH3bd+6bO3vmnHmq78tvrVWrKisrqyryj6jICIz01aQzgUrpF+WfOzNB7WI5NwXXClwFZjXwlOOpjGVa3QK6Arnqf2XJVWCrJpBpk3jkU4Gdslwq9wjVz/ONHKWNllqbVCg2LZSYnLMC5xmQVkWu/Szlyyx9qykRypJryHxd1dcz946psb20QY6tIFKOqXyDjQ0MsTI21frOcJ6uFIHeObJ+7jxsDAxwtzLDcb4BHiZ6JLsYMVXuzo1DoTy9PZnXrsgSmC3k64fbOfbWOs58dQ0nv3uME1++yKreHjm2FaYGNlJsMTGymYFZaYs6vppkN2+O3FfqPrt4luYPbW9lTVNZCVft3k9dRTP+HgF4CWT7SglxcxXodiHJ340odzuiXG0oDbHg+tEIPrqvnh8OTXPkk72c+lW5BDzO2d9VJrCnOfvbS5w9fpjzx97hzC+P8u0LG/nhubUceXkNxz/exbmfruX8kbs4/9v9HPnoAM9cs4QXbmzm3A9Xcu7EQxz9/hrO/no/p364n8cuW8jq+njW1qczXZfCUH6kwE0Y47n+DKZ5MiTQ1ZcRoIU8W1WVyERJAisWVeJpY4nF3DmEL9ClO9WKtVXOrCpfwJoyG7bVOnPFUh8eXBnJfZOB3Nhhz8NT3ryxK5wvbk7il4fzOfpsJUefVxPAlgjQtktZytkPJwVsd/Da1kKmUqzZnO/KnkqBrqJY/F2cqE6K5fLNXXTXlWH0t7kYyj1lJoqMkSgq1mbGWJmZYWk0H1spdobzCXdcQIKTFZmeZtRGWgpoWzKcZsPGCjvungzm0N4UPr0lh+8fKuP02x2c+XSc099s4PR3+zn//Q18+uRaVgsYjmUHs6IkVpsYtTjeRwAtgLGSZDY15TFSEkdjggdd6f4CWu4Cjm7SX2pio7dAYRzbGhLZVRfPtEBjjMV8PCwM8LbQozLMkc010QKekazM8GCVlNFUH6YFaJU7weIYN+2YG8uT6Y33pD/GifFULwZV3Fi5RoOpwUzlRLJcgLFXIFOFueqR/1ql3t2L01grINwn26+tT+LyngoubcpiPD9crt9MdAa1/bqqOPYtyea67lLNrWFQoFFl/NtSlcTiWG9S3SzJdrGmW2B5siCe1ihvasPcqYlUbg1+jBYna5M529LCKQ5yEyANZInKFpcWSmd6BIsEauti/QTeZR8prVJnS7QnSwSSq+OCyQtwoyLSi1Hpw/Y0H5pCnWmJ96VOoLo0zJPicDdKRNFriPOlQ8C5vyiOkeIEAXcHlomy8F8ZZo2uqLxQLpT/15TPPvvsv135313+Emb1FPBp0KmspjM+rcp1QK1ToauURVZBrPJhnSUD1SwFkgpgFdgoAJbf6rX4PyIXaPsocBU4Ur6duvNU6loBKQFcPRUya56A5b9NIFPwNfNaW2eeAg8FZDOvupULgJpANtOemTouUT6xAqIX/U0Br3IbUNZDZYGTfRWoCoAp67H6rWBVxRRVIKvCZKmJVBf/TU0EUyG6FJCr180KbJV/7ByB11lSlJ/sRRrMahETNFeC2RrwKRBUYcyM9EwwNzLFRN8IaxNTXO0cSQgOozAhhZ6GJipTMimKSaE+u4Bwr0AWGFthoEBSgFFZWFXkA+WGMFsAa44A5RwVvki5eigLuTY5TfmrztEC07uYW+BiZkqwsz1RPi54LjDBx94GNwtrHM2tsTY2x2a+KSGevtgYmmKqMx8jqdvYwIT5+qYY6wk0Kr9e6S996QOV0EGbmKYyX+kYYaCvXEaUBftPlwsVD1f609TIQoBZDwsTW4E+V8xMHLE0sdcssFqR46h+NhTwtbCOlE9lCdVFVwNqKQLxysqrfIuVv+5F0m86ukYCuOZStzlm+ibSHumLeXMxkqL8cO2NjfC3s8TN1AhHgzkEm8yiKXo+OxY6c//qKF7an80Hd9Twy9M9HDk4zekvLuPUt3dx6ounuebSDTg7eLDAyIxgb4FSd285fzO53nPkPHQE5ufJ91nMk2tqa2lEhL8jOTF+7B7v5KGbriUzKgc3e3ecFtjg7eKIt6MtQdLnYS4OhDjaECMwWxdjz552f166vIRvn+/n5zdWcfzz/QLTV3Hmu5s5/+t9nD/6BGdOvsm539/g+Jd3c+jGHr54eDn8eBt//CLlt9vh6APw+4Nw/nGOfXsdv7y9lfPfHODc8Uc49duj/HHmJY5/dSOra7xZVxsrMJPIdHkSq2ozWVOdyqbaZFbkR7C6LEagTAAoP5SJvDDa00PYMdxBkKM9Nro6BFvpCKhYsrrWnas6Pbl8iQt7Gl24aVkA942H8dgqAdohD55bFcgHVwjIPlLKCYHY35+q4Ne/lwjQ1mlpbY8938jp98b44+t9/PpYP5c3erOt1JPLygO4dFEGGZEeLC3K4MZtoww25pMZ5k2UtxvBDo7YivJioRJimBjiaDIfV+V2MnsOdrp6BM7Xpz7Gis5US7pjzBmOtxC4dOSuUV+B2Xg+uCGdH56o4tQ77Zz9bIzTX63nzM9XwpEbRUlYy2SRikIQwWR5gpZydZGAY120N01JYeQHu1Ab6yFw50R3uhdrqiJZU6HiIvsyVRggSlIk2xamsLwgmA2NKbSlB5Pm54yLsY6AnC2TJdGsLldppAPYWhhCv4DgetlnOi+ERoHSZcm+bK1OZGd1PJtEuViu/KoDHemRerqTghnOjGQyM0KL2bpaZdKrTKFKALA7K5xsH0ci7eezuiqBW5Y3sKcrV+DXnx31iVoIsMmCcJbLsVdWxTNWGMmK0gT5P5ZVBdFSbwQ1UV6k+9jRnBSopTieKpJ7oCiCtbWi+NSmMqxiwubECbiGM1gYp8HmaEEsIzkx9GZFadEOqqJ8BVr9KAt1ld8BVEnbG8JdBFY9aJc+HShKokeAXLleLI50YyQrjGG1f5qck8BztKOZKE1GuJjqEO1sRkmUJ/Wyb0eiL7XB7hdg9kK5UP5vKv8MFv+rl//d5a8tswKhava3gj6VnMBAT2XEEqhVUCrgqYqaRT9bAFCzxgrEaJEHNBcEZblTwDkDswooFYxqlkbt1biyACqLrInA3AyUzpQZ0NUsk9rrbfX9H5ZJgQ9lJZTjKH9SfZ2ZGLMzLgEqzqzyB1XbK6j+s6jtFQRrZcbiOkvKjMXYRPZT8Kj8eFVkA2MN2hTIqnNRURouvlhNgLtopgjMKpCdieYgMCtgq85FwZ0qOtIOBW3K2moggKavYyDwKGAn57HAzBx3O3uBS28KkjPIS8zB28kbc4FIPWmbgbKWSluVK8NMKDQFr/9wJVAuAspVYa6AnSlZgf40JsewKF0GseIk+gRY1ISe+jhfWpKjWJqZxKKkSJamx9CaGiawFUR5eAjFof40pKaQHx5BiIC2n5UtEc7OeJhb4mphib2JOZbz1St5lY3MAFMDI8wNTbCztMDK2BgTPX1MdFRmLB0MBDj11ec8OVfZ3lC2V64EypKuo2uAubkNC6ztMTaUfhBA0Zmj/JwFIGfPln30MBSoNVL9oydQYyrHleJgY4eZoTE6l8zSfGb158xMAHOyMMbXxhR3Uz2CLHXIdJ1DS7Qum2ssuWPMjyc3x3H4pip+fFRA8rkRTn+6g9Pf3MD5757ktceuIyEiQpst7+rsiqONA8YC3HOln82k3aE+zlTmxXPF1l6euGcnh565llcevYKDd+3inl0bKYpNIjbQB1/XBbg6WGBvboS3fHpJe0KdrIhzsqAlyY4Dy3x5cW86Xz/ewi+vjPDbmys4dngzxz7Yy+mvr+HMD3cIlB7kj2OvcfSzu3jl1gHefmCcI+/sF2jdL+uu4fQPd/Lho2v58ukVnP3mCn59d4uArwDx8ac4e/J1OPc67z64UmAnlI11MQJhAis18YyUJDFRmsIm5atZkcy2plwthqpKO7yyMlHug1C29rUR7e6Eg+5cfI3nkuNjLrDnwU19Adze58nOOnsuW+TKff0BPLshlhfXR/PunjQ+PJDJr49UcvKFJoHZKo6/1MDJN9o58UobJ15YyNFDXZz//jLOHN7GLZ1xDKe7UhdmRUt6IL2lkVRnhxPi5EDSAhdaUqKoTgijNMqf2gwBo8VZTHRV0FUYTZeA2sLMMOqT/ZmuDuO+TcW8cGUFr11dKqWAN67P5I0DsXzzUA5fP5THT8/WcfztHs58s57T327lzI9X8Md3V/Hlo8NsWxRHf3aYZj1cUZVOj4Di0tRg2gUg870XsCwjgKUJXoypBB/ZArIFvkzn+rCyOIQVZRGiAAQxlu6rJRYYzFM+p/5ke1tRHWYnIOjP2sp4Lq9NZFelKBSyzbryWCblHLqTfJnIDxP4TGaPXJct+f6skrqmBKiHpR92tpayuSmPUfm+viqJ5ZXJ9Agclsd7Ccjak+ZsSZCZIR05IVzeV81oZRzLkjwZlP/bwxwYyQxgpSgq3Yn+WjrengyVjCCClXL9p8uymarK1WBzUZS3nHsCYyXxdKcGaBEFluUJrCpf2WQ1OcyLNvlclhWtuRe0JanEJQkC3LH05ifSkSXXLcSd5rgAakNcaRG5UhPtSaeKZpAdRbeA80y6Xlc65Zo1xQiwy++x0jhS5TzczYw1/2dXCyO85Hkp8l+gJaGYrkm9ALMXyoXyf1P5Z7D4X7387y5/CbPKAqtZQAX61CQkQwNrDAwEaHXNpQjQ6ggQKlBV4CkgpivQpvwwZ5IrKD9E9dp5BlAV3GqhptQrcvlfAZqaOf8Pa62CXc33VkB2xhd3psyEk1JF+Zsqi6V6Ja6gWUG28r9Vfrkzk8tmX6Kg2kS2EyhU7gJStAlsWpuUX+cMcGshrGT/GfcCtU7a8Gc9M/FuVV1qcpiKizmbS7RJaLPk9yUaxKpX/KpdylqqxXGdJ21X1tyLlR+owKz0i76u8hmWugWM1St55T9qpKMmbSkrqLEGufoCfdprejlnNRlM+eyqSWaar6t2/lKf9KHmDqD6TGDWRFcfvwXWJHs6UxXjr4HKqtpkGZjDtexd66ritVelPWm+DGX4sqk6ji0NSWyqjWeiIIyx3GA21SWwQgbK5aXxMjjJAJcaSWt6PL0FKSxMFvhwtMVhvgHxzgtId3ckM8CTJG8PUgJ8iPd0x9XEWJvUZTp3lpada4GpCWZG8wUSBVIFas1NTDGX/80MlSvFPIylzU6WlnjZ2xPo6kiIqzOhzo7EeLqSFOBNfnwUKSEhRHp7C0wrVws1iexi5gt42RjrazFm3Uz0CFDZq3xMGMpZwJZaB24Z8OHuYS/uHvXj1Svy+PaRbn57YYiT76zm5Ce7OfPtPfz6yeMMNC9ivvSfna2dgLPpTNgxGWyL40O4ee8Q771yFd8evoFv3r6enz+6nePfPMw7j27lwEgtN29Zxh07+9g8VkVDXigRTgKxLhZ4Ws3XJsKkuJrSn2XPzSN+vHZVGp/dV8F3Tyzh9zenOHp4HUfe3cyJT/dw7vvrOf/bI/xx9KDA15McvGMNe0YzeeqKVt65d4Rf3tsn4HoTL93Qw2u3dvDbOxs58uGlnD/xCGdOvMq5U4fl//u4pjed8YJQlG9lV7IXfQJjKhFFtyg2o/kpAmIJbK7LYVKu7ZSa5FSfTktaIBMtDcR6ieJirEOwmQ5pbqZ0ZDixd7E3D4wFck2HJxvKbdjXYM+dAreHtidy+PJMXt4ayZu7w/n23hyOPF3D2bfbOC0w+9vjtfz2aBmn3ujkj5/2cvaLfdzUHERXlBkp7nq05QSzYXESu3vzuG6ymkd39PD8gUFuW7uQ7W2ZXLOihoevWsazN/bw8nXdvH3nCIdvG+XlPeW8dnkJ3z0zxo8v9PH7K1389tJijhxs4OjrTRx9rYEjL9XLZwfH3xnj9Hc7OfPr1Zz77WYNZr94dIwrl2Uznhsp/RTLRHE8YyrbVVmc9ox0J3trUQpUuKiOlGBGVJzj/GB2NySyrzWVbY3JrCiUZypf+ixdwLoogo40L1piXelO8WJhgrsohU4My72wuSqateURAsMqTa7AcFEk2xrStTTOwwK94/IMDgg0q8gAykd2b1spl7YUMJjux5DU3RLnSaabNX7m8/A3mUeejx2xLpZaQoWq+GByg1xojPEWsA5mUp7l5TmBAt8C2jnhDOYIVKaHCICG0itA2ZMXw2iRKDb5cdQHe1ApQKugdElSAIsT/GkVAG1JDdcye7UmBNAs9belCeDKM9CZJXVJfe3pEXQL4CorrQL/ZtmvMdqXRXGB1ET40poUSHtiIAN5qQwK9C6K9dKSPtTE+lMV7ktxsLcoKt4UR/oKoIeRHexLdqAHBb52dKsQfJ21/6Vh9sJyYbmw/Pde/toyK+Cnwl8pmFUWWc0qO89MAz8tE5eaja9ATnMFUCAq0KW9Hp+BsRnAVdCpLKLKsjpHA9qZkFszYab0dAT6pH7lnjDjY6ngeQaAlV/ubDVZS4NbZZ0VIL5IgbCCZvW/shzPQOhMm6QuVeS75gOrgPQiFV5LHVfqkPYpqFUuB//Ix6/8a9VkNWWlVbFb1YQ1Bbgqa5kCaC0pguYTO0ezxGquBQJGCkB1BMLVpCgVUkuLrCC/lXVWX2Bfg1mpc54A9txL5jPfyAYjbVKXwJoUAz11jtJH6pX7P5QBgV1tMpuyWks7ddQ5/mmV1vpV4FpNwNOdPQ+jOfOwn69PvIetFuBcTRAp8bFnqjic4WxfBmXAHkj1YNvCeLbUxzCZ58faymimc/zZWBXB8vIwBrN8ZFD0ZUV1OsvLktm7KIMNJRGkeVjjZqYv8GikJVHwszEl1c+Vokg/qiMCKAx0F4hbQJyTGXkBTqQHyqAVFki8gG+ggx32JiaY68s1Evife/EsjOfp4mptjaedDQvMTXC0MsPZ0hQXa1N8HawI9XAkwNmeCA83bAWEVUQEvVmztclflgLEdka6eJnMpiTQVCDCQaDDh3sng3l2Ryx3D3lyTasjj6yN4qO7qvn+760CQP2cPLyK4+9v5vgnD/Lo5TuJ9fDC3MAKMxNRyubqEuHqwEhjOn+/dTmfvbyP797ax4dPr+P9x1by5oPLufvShezrKeCF6wf5+JF1fPHcNt57fC2P7Ovi9h1dXL66i/GFRaxYlM7KUnfunArhjavTeO/WXL58pJ7j741rgfyPvbOC399YzplPdnDqc4HaI89y/shLnPjiPl65rZ+DN/Xw8WPTnPrhBoHV63h8z0I+fWpK/t8vIHs/586/yuljr3L2yHO8fvswl7clcMNYIVuVT2eOSkcawbamDDZW57C8IInVxYlM5gqUCHi1J7oymBfMEgGnoaYaEv09cNCfTaS9IZE2+jTGCby2BnH/eAR3DKuMbjZMZhpxZbMjT2+I4LWdsbywIYg3d4Xy0wN5nHilifNvtnLs6Wq+vjmbXx4s5djzDZz5dB3nv7mS17YWcVW9Nz0p9tQnODNaEsjOjiSuHU7nno2lvPNAH2/e28vT1yzivWdXc+SL6zjywW6+f3kVP726ge8e6OH9Azm8c6CAzx/q5vunOvj64TqOPFXB8dfqOflhH2c+m+TE+6Mce3eUXw4OyvXdxOkfr+W0KAtnP93LW3f2ccVQAZc2C5g2KMt0MkNFUVoa4TWVUfRl+tIQYUdHajBLE4IYKYhnSZzKzhXI7iW57GorZKI0gsmSEKYFHDeURDOWF6hlstokz01Hojse8+cR7mTCiMCrcucYy/SjJ96J8YwARrJCpAQyJddmbWG47BMrEB1ES5gTq0XBUGl2VRIFFapraYyAnqs5BZ4WWtavSj8HUl2sibA3w9vKEH8LPVE6rFiTF8UqacPyghApoQLpEYwXCXQKJCs3gVH1dqYggaH8ePkdLwpONJ05kQKnoXRJGVOTw8qSGJB7ozstgsXR/iIvYgV2ZbusWAaLEliSGqrFrG1NCqJbAF+F6lIRDxqljxriA1mcFEJLogrVFU5XahRtyWEsivakIc6HJRlST3YKDTFKsYoVsI6lLTOGlgyBaZFNzSlSR0oo1THBF2D2wnJhubD8y5a/hFnlv6osg8rSODMRbMYKq62X77rqda1m9VSvkAXGdAVEpOjoyrYKYrWiXp+ryT4CYwIpCiqVP62yyKrZ+iq9q0pJq6OAUk0cUjP3leVX/lcQqOBynop4oCypAncXa9ZWAVFlrZR1KmnATLQCqUvXQupVIa1UitqZEFzK0jlLgFFFO1B+txerSVzK9/VvyrqqJ/8bcInUr9wMVCKFObOMBbpVJACBSAXECn6lHm0ymmYxVbCp/D/lfBUAaxCsJq/JOUk7ZkJAzUQiUOevwHXuxep8Z3yC1Xmp79r5KMBWlmbNV1X5FCugF0hWYKzgVutrBdzyKX2sTfgSqNVcH1TShr9djOHsOQTYWpAd5E5dbChNsQG0RHnSHOtJuaclrTHuWkrPgTQV0D2Y0bQARgVuJnKC6E3wYDjTn2k1OUUGrgk1UzrZi6oIF1I81WtVFzpkv46sYLpyQ2iMdqcrKZCFwfZU+1hQH+ooA2iIDFgx9Kv4lOkhtCaEECowa61cCURxMRKQNZ87G287C6yNlX/wJXJ950i/KWv7JXL+s9DXU5O9ZmFtaIjNfLmmck5G8+ZpobmM5s3Bdv5cIh30WJJizdYGZ55YG8FzG8J5bW8ij64IEJi154ZuVw5elsKnd5Tx83MdnHx7gtPvb+TXg3t5/569jNWX4Gphj4udA97OzmSE+bB6SQ73XLaMhy7v4f797Vyzrob7D/SxbaKCTaMV7Juo566NjbxybS9v3zHBN09t4cgbl3Pmq7s5+92TfHfofj54dC/P7mvhme0ZvLo/hfdvyOSzOwr4+ZlFnPt4FacOr+b7J5Zx7I21nPriMs79+iTnj74mn8/x4VNreOKKZr57fRt//Hwnx7+9m68eHuS7Jxbx05sT/HHqMc6celWg9gU+/vt6bhvP4KqOZG4ezOW6jgy2VUUxnq3SmoaxviKFtSUJLM+NZF1ZNGur4xkpDKUn15822WairYa0EG9c5uuQ4G5CpJU+ZcEWXLo4mHtG4rm9L4Sb+gK5qtVVvrvz0JgXr++M4uVNQby7P4ofHyjg/FttnHujlR8eyOXD3SECsyWceX0Jp9+d4o8j1/PBDfXc3BlGf6o7ZYELGC4NZnNrLDdNZXPw+iaOvDYiMLqa099u4czR6/ntiwN89swUB6+q5OEthdw3HcfBvSl8ct9Cvn+4k1cuz+f5PZm8dUU87x6I4edX2zjz8WbOfbWXYx8s55cXmzn75UbOfLePP369nvNfX8a7Dw5y+VgG66oj2SWQr1IyL0kNojPJnx4BUQWWzTHOohRFsroqjV65Z1W2r1wfGwG8SMaLY9hWE8fGygj2NiWxoyaZzVLHyuIopgr8WClKYZK9KKuzLqI63p1drdlsr0tkiwDwVHYA9SF21IY60J3qo7kp3Dq4mFuHKmgNd6A33ov+JG8tFbRKnNAS4cbSeD9qQl1YHO9Ne4IPXSkBNCeIcujvQJKnjSiIViSK0pjiaCwKpDF9WX5MlwiYl8WxTJ7l6bJEzc1kuCiFvrw4hvPjWFGaKMpsFM1xfnQLTE7WZDIpCqvKFrYsJYy2hFAG8gRs8+LpyIkREI2iNlKOnxoiinE4rWlBtAuUL0wVmE0Ooj7OnyVpArNJwSJfAuU5jKRVoLZV/uuU+03F620RWK2L8aFF4Fa5dGxsytdSWA8VRTBYmkBzVqRscyE014XlwnJh+dctfwmzKqmAgjllHdRiccqnZkEUkFVWSbVOTX7S1s8WCBEgnQE2+V+90hfA01wQ1HZzld/nXM3iqay6WnIADWItZDsFrzNQqz9PJQGY8c/V11OpW600+FOAqj7nyH5z5gq8KoBUwCtQOFeAcraa9KXS016kAFQVabu06xIFoAKD6rsCQeXioLke/PkqX4HxJbLPHNUGPRupV9ojx5pxOVCQbCJwrqy/BnIsZSmd8alVVmTNoqyAW8G0Amtpl5bnX4B6nrRFbaOnK32i1sm5zb1E9ZkMhHKOenMEuJUF+E/FYGamv6GmPKgoEpqlV85JRwB/xi9YJX0QmFWfatLSRSrmrZzLxfPkWHPxtXIlLzCKOCdnwqzN8TWdQ6yNGXXR/nTKIFUf6kRtmDNdMqB2RTswluYmAOvMpppYpgsj2L6wkD1LCpjOC2CqKIjJ4lA2VUaxId+PDQIlw5neTBYFM5Lty3SxP90pLrQlujKR7UdfdgiDBSECyIGskkF/caQvlSGeFId44W9pSWGgMyNVsfTJfxVx3sT5OmFnLvfAnLnSFzqaK4JmaTYyxUL56iq4FYg1EAg2nDsLO6NZJLrq0J5oxrZqex5ZHsSr28J56/JEnlkXwi09Xly1xIXnt0Xz0c25/PRMG0ffHOePL/bw3Us7eeaq5YwszMXPaQEhft74ubqRFODHVEs+W4cr2DpWw6qBMvITwwnwcCAzOYzF9Xms7izjpjWLeerKfu7dtJiXruvjs8fX8eubBzj+2f38evgBTn7+BN+8uJPHtuZx73QEr+9L58u7yvju/hqB2KWcfG8dx99ez++vreW0tOfsL/dz9ughzh07xNFv7uSdh8Y58emVnP7mbs7//gwnvr6TX9/bw6lvb+HcEYHZXx7j/cdXctlgCteO57C3K4t1FXGsFZhRsVIni6MFXEK1yT6bBM7Wl8p/ReFM5QUxLuA2XS3XsC2fNd3NlMRHEWprTZq7KVUhC6gJs6Qvw54tFQ5cuchVK7d0zYDskyu8eGNXBG/vieSd/RH8+FAhZw4u5tQrTZx8pY4jj5VxSlll32jhxNuj/HHsNt4+0MB4mjXjmZ4MyP2yaXEKO7sz2bY0mmsHYjl4dakA7RA/vbuGI5/s48fXNvHZI/08sjJJ7r0gVtcG8dotNXz993Y+u7eVy5cFc2mLH4cuT+WlrcG8f0uGXNslHBd4PvXhNCc/XMHZr7dy5vvLOffb7ZwTheDYN9fy/DWdApF5bK1O0KIB9OaEMqbCWWUFCJSGs1L6bV1NCiO5oXQlejAqCl2hwGyCnSkZAo9L5BlZWR3N8tpoJsqiGEyWe18Ug4HCQIYFRFOcbTARZSzT2551tSlctjhX6pVt8wTwEv2pCPWgUe7z8fwoNlfGcld3nTxLyaxXUQmygwVywwRGIxiXNqnUz+Py/E2XhLFCwG+yQPnXhrBIILdLlMvhvAjGssJoDXMn19mKbGlfX67sXymKS3GsXHtlKQ0VxSGJoeJ4BnKjmBS4HS9Mks9EgflkAfQkgfZoNrfksKVFwLY4gVH5b6hQgDYrQsA2SvaLEFCWvhKwVdnCmpMCqIr2oSlZKbMRdGWH0SLfa6J8qI70ozTIk8YYT9k2VHN1alfhuwrjtYxmbaIgjAlQtwkMtycroBZluTSZXjmPCzB7YbmwXFj+Vctfw6yKuaqBqnrtPY+5CkQFuGbCaClYVd9ngHbGuqheESsoU9CrrIqyn4JeBXqahVZZeo3QF9jTV9A4R8B0lgJFAT5ZZ6Aj8KpjI6CrZtabCwgqS6uAn4JZHWWxFfhVll+BWM3lQQGi1KEr++nIdgo+VV2zBTCV/+yMX6xycVARDFTILfWaXkeAV1lZlcuB/gxQzlJWU1v09BYIPNugq6sAWll4FWTPTHpTEKtFZ5B6VYgx5R6hrddcEpTbg6z/0wdYi/wg7Zg36x9wK/VIO1WdBvrWGMh5zZE2qvNXk9+0SXb/AH9lmVVAqyy9SjmQbbRoDJp1WE0MU9ZcdS5yHgrg5T+1fu4lKkGBDhZzdLAVQPQwmk+mfxDV0aEUeNvRFO7CiAyaly6WQbUimGWxNiyJsGS6yJ/1NTHsaMlgjXxO5PkznuXFxspwzW9wJMmVsQwPJnMDGEj1FJANYnN1IMsSHehKdqE/QaA20kHqkxLtyLjArZqYtEFAYlSAqjczgMlyGeirotnUnMbqmmSWZURQEhpAuIMdIQ42BAhgJfr4Up6SjLOpXO+LL9F8bhXQGs29BC/LuRQFGsrxzNha48C9434CN6G8uT+e59cGc8cyL7aXL+CeET/euTaTLx9W6WCnOf7epRx+aAsbuttJCA3G29GFqJBggj28SPD3pSE7nqVlmSwuzSQ3LQp3B0d05B7xkM/MmFD6qrO4c3M7L1w7zD1bWnju+n7ef2CUjx+d5rsXt/PDq1dz6otH+eDxLaysC2VzrTtPb8ng/Rur+P6BxVrc25Pvb+b8twcEandw5rNdnPv1LoHZ5zhz9EUB2wf45uXN/HBwGz+/exXfvnGAH9+4giPvHuC3j27gjbumeODSWi4fSGVNXQxbWtOZLotmY32KgF8WkxVpTNdkMFio4qZGyPpMdixKZ8/iVDZUxQkcyTWsjmXj0kJu3LicpcVZJAusZ7gay3VxozPBThQPc5YliZJQZMX+amuub7bjrn43XtwczMHtwby7L5wvbkrhyN/L+e3xco48WsrpgwsFYts49XLzTGSDNwbh6D18fPcyBhJM6Ul2ZEKUoTV1qWxqyWLL4jh2L4nh7vE0Xr+5ka9eXsHP7+3UJrrdv7GSNSV+TKZYsac5grfu6uH7pyf54alJNtQEsa3Rm/evTub9qyL46Ppkvrqnhh+fbuHM+8P8ISB77vt9nP35Bs7+di+nf3xQFIJH+PrlPdw4UsoKud/H8kJYXhnDdtUnFQKQ2UFMFUbKfRzNCoHL4dxAJvNDpD/kWQn3oDjck2QXa0rCnZmqT2aqIp72eB/Nv7Y9N5JFMe5UBjiR4+lAVZCbALHUmR9JV4rAZ5rAbmGM9rp/uiSZXa0FLJPjqdf2awQw1wrorSmIYCLdl+W5IYykB4ryGMaYHFv5wo6mBTMtMDqdF8mIlH6Bb/U2ZZM8SxuqkllbK9e7LJ5BgeYV5VJXdSojAsyDAqNDcg9MlCcwVBDFaGEcQ9mxso3cJ5XKxzpJ7oN09nWVSp9msiwhWIA2nuUlCYwUyH7Fcq+UyfNaECPnGaKlxO3MjpD+8GRRUhCtqSqDl58WxUDFoe3IiBRY96Mp1ouO1ACWqXS+ObF0CfSOFcXRmRZGe1IYnemR9OXLevlvWW48rXFeF2D2wnJhubD8y5a/hFkrvflYGRhha2yCvbEZjmZW2JpYYGFkgqGOglcBOBWHVEelWxWQnKssiwKyAlwzUKteGQu0CXBpVkcVUF/5xAp0KqulAkHNRUADXgV+ZgK0CmatNX9YlblKAaHaRgG0FhdWHVMBn6pPQFD5xxrq22ipXTXolTqUZVVZQBVIKsupSp+pxcG9RAG2CiMmMPg3AdqL9AREVUxbE4FrO9lewHWugPRcKzmGcnFQgDljiVUwrNwsVIxc1VYVfF/5uM4E31d+uHra+at1mo/wJQqUVcxXZY1V/rHK/9gMfV2BNWX5lfNT67T6FAhrPrzKXUMpACpLmJybnJ+W+EG1W7lWXDQXFYJMxdi9RGUiE4i9RLPYzpJPFQN3lpzXLKlrNgazdbCS66Re3dsZzCPL20kGIRm4imSwLA5jIl/gNN2dK7syuaqniC0N8Yzl+tER50x3gptAbTDDGX4MJntq2YmUBXYkXc34DmZLTZiAQgDjsv1wujfrSqLYWCYDdqEMkvl+rCsNk99hbK6QdWWRDOcHsUK9ul2ooCyF5TIgT5Ul0ZEZxmh5Mv1lKfTUFFOdmYSzhSgmF1+Msb6eZpk1nXcJkfa61IYZM5huwZYKAa5OJx4ad+fQrihe3RzGvf0+rM4046pWJ17dL8DzUB0n3pnmpxdW8OS+XmoTEnAxtcHf3ZPY0HDCvX2J8/KhNCGaYvkvxNUfy/mWomTItRAFzsrAgkgPd1oFSm5c28o1qxvZNVbO9RsbuH9XM89c3cVbdwzx+eMbOf7RnXz+7F6GSlV+fhue3VbIRzct4rv7F3H04AQn3lVZsvZz8vAOTr23mTMqssHPD3D6yFP8cfRxvnrpUq4cTOPyoRx2daVz3Vgh14wVcOVIPuOF/nQkujFVHcOYQGxfTgg9ck1G1OtbBbBSxiuSBCKCqYlypj7CUeDUif5MNdtdzVL3Z5nAXI8AxjXrxmjOT8Pf1JBsZz160h1YV+kl19qSvlhjLi2x4J4BNx6bcOehIReeW+fHa5eG8N7l4fzyYK6AbBG/PSEw+0QFx15s4tzhPoHadk4dauHkOwKzR+7h+6emWJm1gPogK60tyio3LTC4pjqKdWUh3LMyn9dubOanNzfy3ZubuXtzJQO5/gKX/uysduHm0Qg+uKeNbx7qkzKoKUzLc+05uDWSz29K5PMbU/no2lzeuTqd319ugS/Xc+arnZz+7nLO/HY3Z48/w7njL3Ds8/t5/qoRVpXFalZOFWJru0D+ZUtyBPTzWFGcTK+K8hFpw7D03WRBKJOFYZrv8eYlufQJnLULwG1qzmNdQyY92aLUCei1p8fSGCbKW6wLQ3LfqzcR47nhomT5CsD5sUSAtk8gtD09XAA2QkAzWoDQRcuiNZUfx1RWFJOZIaIkhjIsEDiZFcp0fjgb67LYKLA6IcddJYC5sS6dlWWJTCjQzIlirUD39oZ0ttYly2eqnFc8a6tS2NyYJc9RAoPZAsQCsSp6xXSpssYmMl6cKJAbp03U6smM1qy16wRklxfGMyKgqp7BtdI/K+QeGs0NYyovmlUCv5NFKi5xkkB8sha1YO2iQiar0ujOCpM6YqSfYqVO5aebLKDrz8I4H3rz4ukrTGW0NI3NDXlyPIH7zBh6cxLpyI2jTcC6v1D6PCfhAsxeWC4sF5Z/2fKXMFsd40lVjBd18TJYxgbSkBjK0swo6hNDiPFwwXuBE9am5hgZCtjqKbBVYZrma0VNXtJ8Y3VNpCgro/Iz1ZF1yjqr/jNETwBYV0cAUIBPFT0ByJmJU8oPVsGe2lbN9FfRBwQK5wkcy/bKXWGeQJyBwK2hgIeRvoCIwKXmhnCR1H2JsYCJlVb0deQ/A2tpnwU6eioCg7RNQFxZlVXd/4hyoAGnHGPGNWIGmNVELy1ElsCjgkwNoAUqFXyqsGDKXUDzoZWiJpop/2EF98qSrYLxq3z0ehrYquQDyuKqzlHaqazRAvJzLp7pCzUBTMtqpqzfKoi/dt7KZUJZmOVTtlNAO+Pjq3xNVRpd5fM7h1mz5fsll8yE85Jja364UtT3eXPVJDLpcwHxBYbm+FkvINndnpoQJ1aWRrJ5YTpXDJSzt7uYwUwfOpJVWk4nepI8WFsuA6+AUG+8G70pnvTIf8sSXFlfEsFUji+rS4IFeH0FiMK5tFEGYIHW1UVBrK8MYWdTPJfWRcn6aBnQQ+gSCNvaXcK2ZSVcKsfb0VfEmuYsVjals629QAb+YJYUJRDv74GlkT76c+ZqSRNMdOfhOF+XGDtdAQhzGfit2FRqwVXKetjjzKNT3ry4MYTHlocwGq3HvgZbDu5P5fcXOjl7eAUf3TPAzo58Qu0W4CKQ7O/pSVRAKDG+gUQ4uVEcG0dGSCzWenZy30hfyX2hrpGp3EfBDm4szoljuiGLrvIY+muSWLk0g+vWKKBdwsvX9/LFk+s499Vt/PLW5aytTyTNeg5XLAnjuR25fPvwEs6+L/D6/nZ+f3093z0zyo/PjXLsg92c/elezv7+GBz/Oz8dvpa2dCdSXYyojXSgNdWbhUnuLEz0oinCjbZUP+21b2WEF1Xh7jTGqUk33vIcCoyp2J/p/ixK86U21pVGuVaL42RdikqLGigwEkp/aTh9FbHsW9FLfWYCUbZmlPkZ0p5gwe7WIIEseyayTLluiR1/X+PJ8+s8eGGtOy9t8OKTa2P56cEsfn0kh5/uF6B9ppbjh5Zw6s1uTr3Rw/EXWzj1+hLOfDAkUuRefju4mZ11viwKsaEv3YMVZQKEtQJa2W5sbwzn8V11fCCQ+us7W3j19i4qox2JtjcRCArjsnYfHt6exOePNPPtQ528f3ObtNOMnkQbnt+WzC+P1vD23kQe7Pfkrl5nXr8sgaOvdYkysY5TX18mMHsXp489ztmTL3L6p6d46qoJLRvXVHkcKyvjBeSS2ddWzPbmbDYvymdDXQ6diYECchFskGu7uTFVAC+KbfL/pvpUtizMYGtLNqubUtiwKF5+Jwkspsp/KYxl+TCa5k1fnBeLQ1yoDrClLVGen7QALc1sj5pAlRokwBrEUEYgLQnejORFiXIo92lmMFNq4lZ6oIC6iq4QzIiA5+qKVC0Cw6g8C8tFObymtU4USLk+su3q4mjNR3Y8P0z+EwWmKFJgNlHancpUaSwDst2gQPJK5TMtz9FUcQLjpQn05MbQmhIqcB7NkEC2ckcYK0xibW2O9EmKKKZxonD4UxHlLuCr3BsiRWGMYFqAdotAfJ8AvUresKu9SNofzrQoURulHzfVpLGuIoOqSF9R4qS+xgJGS9IYLMtgojiVfjWxTOrpTI+hISaY9iwB6NIMRkrSL8DsheXCcmH5ly1/CbOD+UGiZfsxWhihpVEcLIhkeUO6CKYUliZHsDgxhuKoENJCfEgL9SU92B8vKxuczS2xNTbDRSDC1sISYyMVE9YAFbrLyEBAVXNd0JPfArJqna7Ap4CqkYCvgXpNr4BSAFHzHb14jkCjPoYKiOfooytwpsocATpdgT8jAWJTATWVBMDUQD5l//nzTOW7NSb6VhgJmJiZLBDgFqAVKNbXFwhVUDtnJpyXCtM1R3OBUFEFVDiuOQKDUv9Fs1ARDLTJbQKNWpxX5ZqggPJvcwQ61TkoUJ2BWS0e7j/SogpEailSpR4VuusfMKuiHSjrs56yGM9SsCxF6rhEJX24RPnvqigJKtSX8pM1lf3+dHPQLLkKfgVUpR1qO105nq52DtJWLcmCtOsi9f9MUgjl6mCs64ilfiD6sywEEOdjqJSIi+Ywf84s3G2MBR5dKI4IpD4+jKpgFSRdBt+SJDYtzmbPkhwZsGJlAA6gL0uKDN6dAlnLlW9fsQy4RcGsqYzk0iVJHOgSACgPZ0tFKLcPlbNrUSJbGxLZtCiVgfJkRpvL2L2qk0un2tizZilXbWzlpu3t7ByvZpHcV+l+jiSEeOJpp/L1i0IzZ55cQwFwo/kC4POJWqBPQ4SZDOY2As+2XN7iyK3LXLh3yI37Rt25fzqQrQVmAgAuHNqfxpEXezn+3iZeuWmQRamBuJqa4rrAeiaDl4cPMd7KxcGNyuQUMsJiMNeTfpY+1J2n7jl9zHUtiPfyY6y+gLaMWPKCnKiJ92HF4iyumKji7q0tvHHHCN89v4XjH1/ND6/uZk9bHmm2c5lItuamLi8+f2gJ5z7bx5mP9/PT8yv45K5mvnq4U2B2h4DsPZz67QHO/PgAv310Pds6MykLc6Iy0p2SEFdRIn1pSghhcbQn1eH29AsEqQlCDZGuLA53oDbcjYJAN9J9Xcj2sifGyYwS2bc23k97/bs0MZhW+d4SI9csJ5CBmgQ2D7SyMDueBDczGqIMGMuz4qpOP1bl2zGZbsbdA+48POHMy+vdeHOXP4f3BvPtHamcOljLsZeqOPJUuSgJCznz3jDnPp7mzOF+jr64iGOvNHLinV7O/XQ7Rw9fxhVt0QJx7uxdFCVAFMzKQiem8hZw23gSh25o4atnp/j9zU1cN56Dn5khAZZGLCt25+apCF6+Npfvn1zKZ3d38/cd9aTaz2Ms153Dd9YLRC/j4O40nt0QzTMbInhiVQDfPFTJqU9Xc/73Gzhz7B7OHH1Ys86e/uEpnrhsksnSOFZVJzFcEC1yLIx2LT6rSowQJ0Cby1hRlPRDOJNlMVoygqGcMDY2pLJS1veLkrA02UeKB1d2ZDJUEMZofjhXL01nU0UE6+Q52FQcxQpRGFaVRKJi1g4XhTFdGce6xhLZP4hOUUa6RblokqLiwk4LZG5pzBElMZLOSFESY30YSBOlsDSeyfwYRnPCGc9R7ioJmtV0eZ7Aa340m6sztPVr1LqiWCaK4gWqswVkBUYTvGhP8qFLzm1EYHRM6plSPrNlSfTkRdMswD4on8rqvKoqmT7ph8HsOM1ftjczXAvNp4FqWSJDWdIXyjpcGMvmqiSB2QCmC8MZE0DvVLAe7c54XgTb6jPYsTCP3uwYecbzGFbHiQsQpUy9MUhkVE00ywgXhSpCzj2IlhSVQjeMoeLkCzB7YbmwXFj+ZctfwuxIUThLUv1ZkuRNR7I3bWn+9BeoQOKxTMqnCgTeLwJ4mQjDXjUwFMbRlhJCS3II1fGBFEX7ka3lZvchyNmNUFdv3KydWDDfCjN9lSnLDEMBCBU830ig1lTPTCDGQgNSq/lmOJiaY29ihr+afR4ZToKfn9ThiqeNLV72Dlqop0gvT+J8/Yjy9iHax5cAe0fZxo24QH9CXD0Ik2OGeLgR7OGBs6U1TlYLcLNzwWmBM3aWTlga28xYhnWURVa5BiggVIkKVFzbOQKLygo8D7P5Kre/AlEjgUUVKmvGAjoTMkxBrOwrADtLga9mYVUhxBTEynrlcqAmemkuCiZaUSHBlKVVswYL5KosZ8parSzCap3yw52ZIGcinyr2qtpOYFvapuLmqugHKpKC5uIgx1RwPE9ZfJW/sPLhVRbwucqaPNM2Bclqm0sukvORY6gUuPNmyXc5RyPZxmyODj4LbEj08yY/0o/FmZG0pIXTEO1PY4KAUbIf7SkCeDK4bayTwVAgaXlpGBsaYtjcFM9AhhMjmU6sqghjVV0Cu4cWct3GYQ5sW8ldN+7l7w9cw9037+aGA2t48KZ13Ld/GSO1sYQ7muMtwGpnaiD3hrEoQQZyD6iUpzq4mBgRY29CrL0hWe76dCSaCQhYsa3Gnls7XHlpYxyPToRw34gf1ze7cHuPLwf3pvPz8z388c1VPH/TCHkBjnhZW+JuZ4eH3DP+Lu6Ee3gT4+FJZVIcKUGBWjKIORddLP2kkjroYG5gQoyPN+0FyZRF+ZPkZk2zDNTL6zPZ2ZXHbavreOO2Qb5+aiW/vnYp3z23lad2tdKRoBIP+PLcrlx+eX0lfHc15768ih+fmeDNq4r54v4mjr67itM/Xy1Aeydnvrmd05/fxIGJCipDHSkLcibbw450Vxuy3BaQ6WZFpL0pgbYWBNiY4WxigMN8fRyMDXE2M8LJzFj6zpQFxnr425oT6GBFkIM1wY4LCHVZIJ8WJPkvoEqAad9yAXuB2YY0L1Y3ebO+0pEbB/zYIX25JsdM+s6d6xdb8vCIPc+sdhdo9OSzmxM4/mIZp16r5eRBafsr7Zx4a4TT745y9r0BTrzWxrFDzZz9bJrT313DqS+u4brhVFpCLQWYXBjIdRR4smHHIh/+viWLTx7s4fe3t/P982voK/bHxUifYGtDBoscuUsg9fB9lRx5ZZCP7+3nga01pJvNYk9rJF883iHHGpJrm8NbB/L46LZSnl0fwjePVHPmi1WcO3Ydp1V//vaIwOyznPj2ce5c20VXWpCWmGBtXSYjubGsrEgU2BM5JfC6XuBusiSKDbXJTBRHCujFs7UpXfPxborx0eKzLhRloC3Jk+21cVo0kNZY5XITwCb5PaSSIQjMDoscHC+KoF9Nmopyl+OopAlFjOaGa/t0JHhKPe5SbyQrKzNZWZXOQE6EBoqDaQLWagKfAGqvAGC/gLGCy4n8YMbk+VIuAJMiUydLklkt57FCIFYlSBjLj9UmeI0UCMymBNGTGsJwlnIhipf2xNMt8nlQ9hkoSmAwP5Jhacty5UsrsN4jz3KP8ovNjKJLwae0X1ltx2XbHqlrWGB3WMWuTfbXwoepKA7dKsqCKEf9Ar/q+H3pEXQlhWplQAC6NzmQnjT5nRFGR7bKCBbJgPRzf34cPQK8w/Ic9ecm0Jd3wc3gwnJhubD865a/hFkVWLwq0oeFIswGRMgPKv+7TBGcIoxXlEWLRh6mCf8l6aK1Z/mzpjxBhKEIuKxguqW0pgTQKQKuNSOGJdki2PJSqEuMIj/En6xgX9KDfOTTgyQfV+I8nIjzcifG3Z2c0ECyAz2piA2mLjmSxvRoFmXGsiglki4ZkJsSw2gT4dhdlEpPYbqUDNrz0iiPCSHH14Wq+CCaRLgvyopiYWIIDcnyW4RtjQD20vwkOovSaMlJkTqTpS2BxAr8qhSbfo4OmBkINAocqmxWcwVk514yC3N9fWKCAwh0c8XB3AprAVsz/fnMVwkQdIzRFzhUmcDmzlVAq6dZaHV1FEDqoCPgqbk0qAlyyu9XygzUGmOobyWfM+4OyrKr+SCrujQAVi4LyjVB+c8aaP6cejqyrXLX0OL5KkidicqguThcokBYhfxSPrsKzBVMzxWwVnAt5yHtUzFyFZwrv2MtOoW0U0/qVm4Rc6UeZQHXk7qNdPRE4TARcDLB08ySWDdPCsOC5DrHMFmVyY62AtbVpzFdKAN0cRhbBGY3NsQzXZPAhp5ybr9iFS8/extvvv4gr778IK+8/BCHDz/N51+8xPvvPcbBx3fz5Yu7efPhTdy0bRljjRlECIjZ687BTm82xpdcjPmsS3DSm0OkrSHRNgZEWMylyt+Q/iQzNhZZc3uHG6/vTueVrQk8sSKQe/u8eGg8iNeuzOCXl3o589k+bllfR4C5Hs7mFthZWGJrbomLjT2+ji5Ee3uRKfdZtNxzJnJ9laVfwb267rbGpvK/OwXRgcR7O5IR6MxkQzb7B2sEkup4+rJW3rypmy8eG+XIa5v56dUdHLx2GYOpDlzfHsDHt1Ry/K2VnPhoN8cP7+Lj+7p4fFM8nwqs/f7uGOeP7Of8z1dw7qsrOfbOfq4Zzqctzo3uNB/a492p9LGhwncBNUEOlIe6kuRqS7yLDeHONgK2prhamAjIGuFuOR8fB0ssDHSxMZJ2G+pho6uLlZ4hJnPnYao7FxdzHYpivDiwYYzFAnR9FRFsbA5j99JAbuz3ZXP5Asbi9diSZ8bmHCNuaF3AM2sCeW13LN/elcavD2Xw08PZHH2xllPvTHHizUmOPNcsENvB8bf75ByHOff9Ro5/uovz31zHIxvzKXXRpTrQlM5Ue4aL3NjdFc7Tewr59plxTnx8Ge/fP05JmC32hvqEOxgxUmzDvRuD+UnqVJO6jryxmWeuWshCXyOe3JbPV493clKO+90jbXx+Tz1fPtTAu9dlcOTlJZz/YjXnfr6KU7/ezpmjfxeYfZ7j3z3Og3uGWN2Yys6OArYsytaiF2xpSGGtyrwlUDtdEcfmxmR2NqezrjqadVXR8r8CrkB6C+MFMBMZKU0UABZYLQymN8WHxdFu9Kd4s7IskvxAJ8JEWQi0NSNUFDLlBtKdFMSY8oPNmXEnUMkNJgoiqYtwpzbSg8UCx1XBLiTYGJPla0upvx35PrZEulsR4WQpEO0tMjWckWyBSmVBFiCcKIllojyZ5eVJjAo4DmeFa6UnQ6WkjZXtY5kuSmZSZKHyYx0vS6G3IJHeoiSGS1IYlW26BbR7BTJXl8czlh0iimi4gKfAtkDnsowQ2pMDaI7xozslmE6B+B6B0+GMCNZVZLFrYQbT+WECtmGM5AuYCnR3iixVfrjKGtuVJH0jMN0rANyZHkyHjA99As0jRbKttGdQ7jmV7nZMgbfA7wWYvbBcWC4s/6rlf2KZjaAtJVA07EhWV6rMQokilERYJfswqCaiFIaJ5i/CUAVnF6BdXxnFqtJwxnODBTpcWJbsgQre35XhRVe6BytLo2V/JQhtGCnwYn2deg0YS39eMEPFIlzL4hmpSGCqWoRwcQzr6zNESMcxItDcnebJonBH+jMjWF4axwrlu1mkrBlRDOXHapNhGiPNaQ4zYVlWEMtkn54cEc7xzkyVh7CpOZl9PXnsaknnwLI8bp+q5qqBcnYtKWDtonxGytNYmBJKtJs9XuZmeFpZEenjLZ9mhNhZMVieS46XAwUhnlTGhpMV4EluqD+l0WGE2ztgr28i8KCPsYEhKr2rAlAFi8q9wtzYGtP51pqbgYqIoKsmrl0yHzPDBQKPhgKSerJeuTDMhNpSiSLUhDMDfVPN/1hzyVAW21kKepVFVsBW1xQjAwvmG1gJgKnICWYCpjbMN7IVSLaU/Wf8fJXV+KKLLuZilcFMipZRTfOvVRZeKcq9QVl3ZwncCgSrlMDafipawkVz0ZX/DeXYVvNNcbGyJNTTgcwgdxpFoWjPiJW+T2R5TRbjNdlMdzdy5017OPjKQ7zx+uO8/PIDvPiS+v533nr9Md46eB8fvH4H7z66hp9f38apr27h5HeP8MuH93HvZesZb6ymv66ExcWpNGd5C+CZywBrycJwUxIsZ5PnpEt7lClbShZwR5crh3bF8s7+WA7uCOH5NQE8vTaUD+8q5vfX+jn93mZ2L0vGy2QOjpaWWJuaYS5wbmVqjq+LB2G+XgQ6L8DdxhyDuTpcoqUmnou+riF2Ar8hrg7EeNmTEOBMSYIvq9pyuWvTYp7c38Kr17bz5s3tfPl3Fbz/Uo6/dyVv3jhIR6QZlzV58+MTLfzx4Sp+e3U5Xz7SwzM7s7l52JeP7i/jxCcr+OPXyzj9mQDg4U38+OI69i6JYSDVTe5nAYMkd5pCbCn0MKU+0oWSEHcK/ZwEdPypjfUWKHKhNsKVEj8HKkJcqYj0pDxOKYdupPs4k+XhQranF4l2jkQ62OJnqU9rUSTXbBmkJM6X1mxP1jUEcMXSYK7vcmHvQguu7rRnLMWA5oBLWJFlwC3L1AQwH96/KpzProvio6sj+OnRYs4cHubsOyP8/GQNv73SyukPRjj3zUr++HEr53+8TkD0Jh5fX0z2Al1prx19Ga4Cjd6iBMRx8NaFcq4THPtoL3/fu5gYe315ZvSJdTFldYMLT1yWxC8H2zgpsP/Fwx1c3RPCigIHnt2Vy5cPt3Lq7XHOHZ7i6KEBvnikng/vLNBg+uyX6zjzy9UCsndx6reHOfX7s/L7Gd5/ZDu7luaxpT6F3a1ZTOQHsiTWVgDTn20NGawqiWZ/WzqPra5ma3UYawoCWF8SyrDIs+uHm7iqu4n1i3NYWRVDX7aPyB8VrcBflHUBuGhXwsz0sZg9C5NZszGdO5sMTxv2tmdzx0Qdm8siuGpxBpfWy7NRESVyyVVkpC/LUgMYFVnaHO1Jur0xNcGOJDqYY28wFw+jeVSGOrOmOlnLzre2NEHgNYze3FBGK+JZV5nBtuoCJgRERwQWu5X1NHfGrWC6KJ7evDgWCViqt2JL0iPoyI1msYDpUG6MAGUSq+oLWF0RzYDI7pHccEbLkrXJYv2qHgHVllh/WhL8WCIK/4hyNahIYig7Wgs5trIgikk5ljpOf3YUy7Jj5NjxtGWIjBXoVZEelBW7U/pnQvn3igxfKVB91dIaJgS0OxJDGMyJ1qD6AsxeWC4sF5Z/1fKXMDteEq75yo4XRDNZFsfKwkiWl0RqOcJVSsb+dF960v0FKAMZSAsQzT+c6UKVL9yfpRHOArMhoskn0ZsTwWBhhIBrBuuqshgtitJmZA/kh7M02V+EnC/DhUHaxInBQqmjOokpgecJNYNb6lYBxhW4jquwL1lRDKqZurkq+Lcf9SH+9OTG0VcYJfAapPnBLa9LY6QykQkp05XxrK6JZVdXLretW8Ttq1tlkMtld3sGW5vT2N6cKtvEykDixOI4L+rCXGWQcaMmIZSGzARKBCKKY0NY1VxFiwj6ZVmxWsas0eIElhXGsKI2i7HCZJamhNOZk0RdfCTJPu4E2ttiZTQfgzkCuHoCUfOtMNY1wdrEFltzR0z1LDHTM0NfINZsvpmst8DC0AyjefNRqW9VClzdOXqa5VRfm0BnIBCs/GnVBDtTLZqCnoooIbCrfGyN9K0EmO0wNrISyDXXrLpq4p2urppEps9Ff5snMKusx8Za7N2//W225nIwk+VMwbNyYdAVmFXbyToNepUvrkCtlNnKXWHWjLVXha8yk3ptTazwsBVgcrEjxD+I1qVdbNu+g527trNhwxou3bmVu++5hUcfuZe77riGe2/aydO3beDTZ7fw82sbOfrJFRz79j5O/PwkJ354iaPfvsDx75/jxK9P8cOb23l7fwpPTnlw96Ara7MsaA8wZDjRTGDWhhvbnXh9VzQfHYjj3cvC+fjaeN67OplvH1HZono4/sYqti5NIsDSGEfpW2cra2wEaJWyscDCHOcFNvhLcTJVPrrKbWQeOvP0pP+Uf60dkd7uJIZ4kBDsTplAyFBTElevLOeRfYt5/dY+vnlyBT+9vIbjH13F6a9u4/0HVshzYMuWSnde2p3P8VfHOPPBJo6/Ps1b15fyxLYkfnypE45exbkj13P0/fWc+nQ3Jz7YyQ39iWytCWN1sZpUF8Rgli/NAkC57guIsbMg1t6cMoHaunhvGqNcqAmwoyfWkY5wO4EkDxbGubNIgHtpahD9Kld/cRLj2ZF0yO/6eB+2DdVyzeouCgXMl2V5sas5kNtHInl+Ryw3L7Nl/2Iz9tbb0BOuw1DsXLYWGXJ7uzlPr3Dmg6vC+OGBHH56rJTfnmvixKFujry4hN9ebOKXpxr46alaOc9h/vjtAOe+vZZHN1aQZW9AabA1i2MWsLY+gBvXZPLW/Uv47uVJgdn93L6+nFArXVwM9ckNtOPq5UkcvLmS317u5rzA8i8v9HP9YBiXdwfx+YOL+P1gLz89086RQ70CsEN8+/RCvnliIafekz7+ZjvnT9zFudOPc+bY3wVmn+bIlw9w55pmNpTHsqMhib2LU9laFcGlVeFc3pDITZ1FXNOSxQ0dKby0sZjLFkWxX7nL5AWwS7ZdIzA5LPJlZWUMG2T/gWxfJkvCtLkDlUG2tIe7km1vgv98I3xF2fWyNtfcJTbXx3FDXzarin0YT3ZnKt1b5KI3vRkBLI11pVn2U0kuRrMD6BeZNyZyVL3KT3e3oSrSi3GRr2srYhnNUsYA2S5PuSDE0S8g2ZMkMjAvSvYNFfkaKrJSYL9MTRxL0Ny9+uR6DxTGsjAxkKXpkbSmhdEo0NybFsRa5aJQKkCbp/za4xnPiRSZGyxw78OSBG+RwX4sjhc5nBNKX14svfnRAqzRLIzyZJkA61B6OMPyOSqytyMtnObkULoFZvvy4gWqVdSGeJbGBWh1LVHpe6W9vSI/Vxcmyb2YzPrabMYEtruTAy7A7IXlwnJh+ZctfwmzncledKf40C6CVOXpnhDBumlhFpPFInAFcNXEAAW6q0SgriiJYq3A59amNC0O5vJi0eYLYlgugk7NAt66OF1gNpFNNclskwFlVUUcvekCpHEq37e/QKwMvqK5VwQvYGlaIFMCjFN1qfSpMET5kTLApLOuNpPR0kQRojEibEWAi9BcJgK1MUlFW/BmcbKPCNlQOgujaUkPplME/lhJvIB4PFPliezpqWZnRwWrqtKljQKx5VF0Z/iyLDeY1iQfioMcqAp3oTLYlZJIH1L8XckSmFlUkEJZYgT5ob4UhfmyJFUGksW5bO0s4+rBBq7trWJ7SyF7upsEbvPluNG0p0VRGRVIeqA/oc5OxHq6EeHqQqSLC16WVvjYy3d3D6kziIUZCSzKTmJhViYlsfFEeHhhY2KCmZEB8/UNMdA3EoA1EugSOJ1jKCBrykyyipnJZob6JrKdOToqrq0WBUL9p0KJCQDrqvi2NgKlAsgCuCqBhIroMFtNeFMuChq8/mmNFVidSder4tkKzArQKuutStQwS8B6tga1KtmEjhxH7S8AKP/b21oRE5tATV0zi5rbaG3roLu3l6np5ezbtZttmzexa/Nqrt25nJfv2cZ3r+7mt7d38vsnV3L8u7s4+sPDHPvxSU7+/LiWVODnD67ghQPlPD5hx6F1C3h1qwtPLPfktg53bmzz4MpGO+7oceWDA0l8eUMyH18dx2e3ZvDb0/X8/lIrxw4OcOLNzTxwaTvd5QWEuXkJoNpgZ26uuRQ4WlsS4uFJX+sSfJ0c5VyUj/McdOfpM9/AGE87OzLC/CmQ+yor2ofK9EAmmtPZP1HMrRuqOHjLID+8sI0jr+3h2HvXcez96/jg7nE2Lgzlur4oXruyQMCsh1Pvr+LYGxO8f2sVL1+exy+vj3L+1+s5/esdHPt0D+d/vJETH+7m5qE0NlWFMV0QIvDhT5cCDAGNpnAfcrzdcF9gQnmoFy2J8hxGubE4yJVaL2uaI+zJC7YhxcOUsmAHLSlGR4IHWysjGFP3dZKnKIxhXLV8EVdMLNXCKE2VBnHbZCp3DEfz1OZk9jcvYFejOdcscWBHqSWbCo24rsOWh5Y78cpOX4HYPFEOFvL7oRaOvdbGycNDWpKEE+9089U9Jby8zo8v7yzizOfr+OXQenbUB5Jqp0tDkgtVIWaMlboJvGbx7v0d/PTqJn7/4AD7h/MJs9HHVmceSd42rOsQwFyZzctXFvPtQwv59oku7lwez92rUvny8VZNCfj9jR5OvDcifTrOL69088OL3aIIrOT8L6IcnLiXsycFZI8/zenjL3D0mwd5aHsH+9uyuG6whJ2isG4qD+OWrhyuasnhUnn2d1THCNBG8OrKBG5ZEsKWAh8O1IZxaW0k48oamhPMqtIo1lSJEp0fKDAo8kRArTnBh2FR1ttj3GgJd2I0yUHLlmc1bzaVEY5srAhnQ1UAe2uC2S0KymS2n4BwKMsEXptCnFka7cxousipRFc6411FpkbSkhRAg9xnK5VFsyRSrr8r7dFu9KQE0iEKfk9WGJ2JASwXmB0TqBwQOdklYDhZHMOEyOKVFclaJrNe+b8nP5am+ABaU8Opj/BAJV3YUB3PmNzD4yJXN6j4tAK3av2aKgXq0raMYAHaQJrifOnLjxMoTpQSryVEaE4MEhgPl/6IoEeUI5VVrEN+9+TGCsSm0pEcpoUBGxUIVhPtFib60i9t6M1S8XbjWFOTzaXN1WypL2E0P+YCzF5YLiwXln/Z8pcwO5wdKAIvlsGcMOoi3LR0iNsWF2jxDddUpjClLLYCjipMzAoBwwmBQpVGc1tzJitESK8rS2IqS4R7Qwq7unMZFqE+nhfMxtpoNtQLZJaniyBVVoAIRlXc0dRQSsIcaEkLZlzqHxMh3Zrmx6AIXhUAfKMA7bQA8lhepBa/clIAtSc7msWJweQHOFIe6UJbtsBhkj+1EZ5arMix4nhGixLoz4pktCSJoYI4JkpTmJY2d+coAe6mAXBfQSS1cV5URHmTG+iJn5URria6JHjaUSBQGu5iR5CjPd7W5kQ5WdEsg8zW9hJ2tRfI+cRoyQB2t9eJYI9kJNeX4UxPhqU/ugvjWCJ90C1Q31mYxtKMSIr8HSkIDaAkIkD+i2GqNo1ROZc+GSC6BYIb40IFfu2I9vMkSbYL9fbAydKS+QKo+lqIsxm/XJ25CkLnCtiqCA8CmxcrH1gVCUFFSlAhxdTkMB3ZdsYPV+2nYgKr8GZqfy0KgkDqTOxeQ9nnz+0VtKoJcAKrM5PcZgBWWWnnyLEUKOvK/mpinLWFNckJCZRX1JKQkE5icgaZOYWUV9XQ3tZGb9cyejramOpdws17x/jgqX18/cJOfjx4Kb8cvoKjX93F8Z//zokfH+P4F7dw5K0tPLWjlF0NjtzbZc2LU1a8utGJ1y7146Or4nlvbxyPD7jxyLCadR/OJ9fE8NXNSXxwdSJHnm0SyOoX4FrOyTc3cefqahamRhDs4Iy9pYVmmVUhvyyM5+Mgv9sXLiI6JFTOQ02gmyP9qY+uKAc2RobE+riQG+svUOtFtQz0a9uzuWK0gCuH0gW0O/nkkfV8+thGfnp5L58/uZ27Ny+kI8tV7oEwXtqfy5FX+zjx/nIB3mHeuqGMN64rku+jnPrqCk7/dBsnPr2c39/cxutXNrGp1I/pPHXP+AocqBBPfrSl+NMvANGuWdi8mSiPZbI0jK5YNzrk3q73t2dhpBuFAj354fIZ6EhdmBPN0U70Z3gJ/HhpVrLpskhuXdXErWu6WC3P4fa2eK4eiGdTpYsomM6ihJqxpcKM6wRmHxh05bEpNw7uDubQ3iDevSaSnx4v4dQbSzn30TDnP5vi7OcrOPbOmCgLvXzzYBUfXJfDr88v4Y/vt3Hys2t5cncX5QF2JLoYURpqyVi1LzetSufdezr57c09/PrO1axoTiHA2gA7Qz2i3CxZlOLOnq4kHlyfw5vXVvHe3Uu4Z00mr964kJ9e7OPURxOc/XIlfLORsx8t5/tnWvj66aX8/u4Kzv98NSd/uYWTv93PyeNPcub4K/z+1f3cPlUrinMMu5ZksaEuWQtppRIQ9GcGaW+WRlNc2F3uwR0NnlxeIIAZa8X2Ag9W5nkzJbJrdXm0FJEzhYH0J7tyWWsS6ypjWCfr+wRC26McGU5zZyrTifogW9LcrUjzMBclP5z9nTkcWJrBgZYkNpaEMJEXwFhhsJY9bDDTn74ULwFSP1aXJrCqJJHWeG/S7U2pC3cXYPQVRUYUaLmmjRGuoly7sVSgdlVFhsjTNMZyogSuY1gqcNuc5EubKO196s1XfjTDougvE5DsyAzXrPSdmaFsWJTDtkUZIo9FPuepSCQxmiK/qTFZji1wnB9Bp9Q/VRAvcliU+zyRr6Lsr6rJEFmex3hhFq2iWC1L9GEke+ZtWLuKLxsvypaAbV9+EiPFqVqiiG5lMRY5OlKSzEhRJosSQ2lKCRGZF8pkWTKTlUkXYPbCcmG5sPzLlr+E2Yn8cNbKIKomMWS7m8ng6CcadgZbBL4mRGBOqFAuxRFMyYCpXsmpME5TxWGsroyiJ8lHhHYgHTEqnFMUq2RdY5QT7Qn+NIc70pPiIYI/UpvgMFYYNRMVITWAiaJoJspiZRCOYyg3jJYEN+3125aGLC0kzIaKNIHnBLY1JcvgEs/2phzW16WzXNatk0Fry8JM1CQKFWNSxZZcW5UsbZJj5EexrjGTrW2FrG/Ipl/qHsgLpDPVm6VJXnQJPDTHe1Id5ESCoyUhdma4mRnhYGiAk6kR5nPnYqGri5OZCU5G+kTKNmOV2aypT2Mkx5+l0Z7SB2m0xXsITLjTlegsYOFKjww0Q9L+8cpUegsSZODyocrfhopgZxamCKgkBdGg4FsGhkVxPjJwqMEijPoYf+rTY2jNjacxJZzSyAASXBzxXmCPtbGArZ4RBrqGGnzpzJmnfaqMbSrqgRadYa6KaKDgdN6fE8ZUDNp5mh+vBqsqRq0KPaYmfyn4vUQlhlC+oyqCwwzIKkutyjimJo+pV/AzE8pmEjYoC65yf8jOzqejq4uCkmrCwpOJjEolLCqRhPg0UuJTKcktZLizm7H2Kh6/ZQVfv7KP9x+Z4psXtvDLe1dz9Lv7ZTB6mdO/3MvJj3fx0b2L2dvowbZSS+5us+f5cUeeGbPl3f2h/HRvBj/ckcqhNd68sNyLJ8ddeWtnIN/ensLnNybz08NlHHurh3Pf7pS69rOvJ5cIe3NcBbitjU0xMzZGV2B2nvSXmuxlbmyCib4xetIHysqtgF1BrYW+KDF+HuRE+JPm70FNnD8Hxiq4ZWUFd6+r4OBNA7x732oe29PBnZta2NJTRXlCEFF2eoyXuPP41hR+f32S819s57d3pjl4bQmvXlvIr6+Nc/77qwTAbuTkBzv46LZWbumMYjTGkdUFCigCqRBIbZL7sDPdj3EVzL8onL50f4GVYEbzA7RYv+2RXtT628kzJgBcEk5vYcSM33mWssa6szTenVaBog55HidLg3libzsv3LiSVbUJXD5cwJNXLuWuLbXcvr+ZzW2R7Kyy4eYltry6wYs3tvty+IoQ3twbwlf35kmflnPsqUp+eayI4webOXV4gONvDXH2vWF+f76FHx5v4swHI5z9ZieyISc/f4wV9TkEGM8i18+c7mIvrp/M4ND1LXz/4g4+eWoLHWWh8mzNI9DRisxAZ5piXbm8U0DnskU8v7+Sv++t4K71ebx97zJOHF7Buc9WcurDKU4KvP4scPv900s48nqvQPVyTn+7h+PfH+DUsbs4e/JRzh9/VpSkG7hzRS2ba+LYWp/CtoZ07XX8SKb0U0oQHVEurM/z4YaFAVxb6cm+fGfWJNuzOs2RTcX+XNoQx6aqGLbL/reP5LGlShTXmgjN53RjfQIr5VqsLw9nVbHAaYa3JsuWy/eVcl7Li4K4siWLVVmBrBMoXpGvZv170C3Xo09Aul+U7b6sYDbVFbKyPJn1pfH0pAdRF+BEmZ8ji6J86U0K1hIq9CQF0BLlTk2IqyjziQwKbKo5A6sqUuReiNYmbqk5DcuUVVa9qRLQbUsXhUcUdxXKbbo2kS2LcwVaFfx6s7YymjVyv1zWmsMVAtvbq2OYLIjQJp61pYeKnEqgPlHkYK7ULbKqXRTtnhwVOSFOC/vVEq3cEvwZFXnakxdJf2kSSzKjKQ71oDzCh/HaTEZKo1lZncbWjkaRaSHE2ZsRZaFPgbettMn3AsxeWC4sF5Z/2fKXMLtcQHUkM0QLO5MhA3VVgAMDMkCO5ShhGynCPJ6hvFCWCLiO5AWxXoTjKhFmly4uYL0A70BWCH1pgawpj2ZdqQhDAdsKEdhlnjbaxLD9y/LZ3JrJdFUcban+IixdGJVBuVsAU9WrQt4sDLFnTKB3hWj1E6VRjBULGBYKMItQ3lgWIwNVMntaMti2MEWOm8H+lkKuXFrI7uYstst/WxsTWVUeqVki9neXsGtpvvxOZENdkoBvvAC1AG2ytxwzkMVxntSEOVAV6khhsDtBNhbYGujjNN8AW0MdLHUFdPQEgnTm4mo0l+pYXy3Mz3hRiDbRY7I0nNGiMBaFWmuvEDsTPTQLcl9WEO1q8kdZPL3Sn50yoC4RqG2WAWapgGxFkCONsW60SD+qtJFNMmiUBTiT7++qxROtivCmIyVU2hnG4vRECqPj8bdzwsJQZVLT16ytBgKW1lbWWize2RepkGAzVlvlLqAyhClLq0rnO1v5yQqwzlUW1n8DW/WaXYBOC+cl+/8ZkkxZb1UYMLXfPAFitf3Ff5vFxRddLMfTJzUhllUTQ/QP9FBSUUFcQiZ+/lEEBEQS5BdGdHgkBVkZNJXns3GskXeeuZTPn9vAG3e18d2rWznyyTWc+OEOKXdy8usb+fmVFVzfF8bWCif219hzRYU1D/e78OKkO4c2+vHd3al8c0cSBzd58ellERza7Mehbb789GCulEJ+erSM39/s5sx3l3H221u5cqwWNwsTzA2NMDMywsLUGEMDZZlWYD8XfR01QU9FcJBz1AB9lsDsbEwN9PC0tyHI2ZYQB2vKozyZqIxlZW0sV4yXcu2qevaOVjBQF0eJDNAe1maYSj32sy+hMcKaB1clcvSlCY6/u57vX5oSQCvk4IFKATGVYncLP726kk8e6OamoTg2VsrzJffBUFqQKGCxAjzBmoWuMUJZVn1ZXR4ncOpNqyhcfZk+TKZ5sCTCkf4EJzYKqO5dGMf6ylBWFQSwItuPUXk++5ICtXuoXe7pyfIQPn56G3fv72PXQBmPXzfN5y9fw6nfX+TY7+9w7PsX+P6+tdw24MPTK914d08wHx4I5fVL/fjk5lTeuy6FD25N5IOrIvhG+v/460s4/e4Qf7w/yqk3evn5mVZOyvdzP+zl/NGnOPfTSzx06XLCTWYRaa0rQOPI8oXR7B3M4qVbh3jr/gn6BQydjecQ625DQagLCxNc5HmN46qBLPZ2x7K7O5rrp1IFwksFWic5+togXz26iBf2ZvH6jZWcelsUhY/WcuKN5Zx4bw0nv9zN6R+ulTbcyukvr+O1W/rZ157GVKE8l6JIrxbluEdFZBFgm85No9zbjh3VIWwp9WFffTh7ywJYlevBUJwLa/L82ChybG1NAvvb89jbksSkKBH9mX7yPHuLghzDikJlYQ1gUKA0P9CM1hgThtNdmRZZslauycpCP3oTPOhNlOuVE0ZHnAfDuUFalJeB3HB5lpUSHUJzjBfNAtbKYrujKUMgMZFF8QKwMX6syBWZVxytTVQbzA6hMtCR2jB3FouSq6CyTeTHsjTVrlD6s1T62EBaowRKE4PYvqiQvgw5v+o49i/MYEetKPt5MazMC2EizYuxMDMuq4rl1o48djSk0pkRzCJp05LUcBoSAqiQY1RLO6pi5BgqA1mNyooWLzJaWVjT6RGwHalIZ0N3PTlhgdjOu4REJ0tumKhjVWOqFsN33eJSmjPjyfJzpUjFsE4JZnWT3AMXYPbCcmG5sPyLlr+2zAo0TuaHidD0oyLUie60UMZEKCr/qS7R0HvTgzXf1aUCat2pfpqvmbJMdqb4CuDFM14Qz6qKWDaI4FxTGs8yAbmurFAWirDsFIG4tjGTKQFZlSZxKk9AMCNQPkMZSBU4lsFjdUmYCPNIBqXersxAbXZ3u4DnmKwbyPRnIieIfgHA5dLGkdwAJosi2VqXwWWL8tmzOJvt9QKtVRGsKAoW6I1n16IMGfwz2V2fwi6B3K21KkC4wHZphBaQvDfLn+kyFScxWNqeQFtCMBVh3lRH+bI4yY+yCFcyPGwIsTQm2MpU1vvIABTH1pZ8Ngk8TyugLQunP10GmygvGXTctFiX/cqKkR0lg4HK0x6ixYasDXOhWfqqQ+BlWY4aJCIZKw+nW469JM6H7uRAeqWPaqOD6MlPZLhExbYMYaH0c1tOLHUJkaT5++FqsYD5cw0x0ZuP4wIXFpjbYKprgqm+MSaGptrs/H+4BMz4uSrro44GcTpzBWjl09h4Ac6OPthaOWIi+9qY2ODh4IafmzfB3pHYWdpjrJJNqAxZc5WVdx7GBvMpKchldLif6upyUtMzCA2Nk5JIfEIWCdHJRIeFkxwTTqHcN5dvauO9pzbzwWPjfPRgF7+8vZ1jX13H8S8OcPzzqznxyWU8t7+G6WwHrmvz4oE+V64oMeemZhteWufPO5cG89vDqRx5OJn3Lwvk8J4QPjkQyXtXRPLbkxX8/lQ1R19t4dQXaznzw/XyeQtb23OwNtTFSM8AYwFaEwFa5YOsLzBrJJ/z9Y0wkv7RV1bnS2YL8M8WYJ+L7tx5GgA7mZvjZ2tDdpA7eaJUxTsYkxFgS3aIMxHOVtjr62BtoIulvvSh9InFrIupl+3uGEjmhe2VPLe7iid313LvikzuWVvENVNF3Didw+qqYNbVRwh4qMlbnppvd22kF/Vy3ZV/ZLuAzmRxstw78jzJfzWRbuQGLWCpPFe9AkVqouISgdvJ/FAtpWpbghvNcq/VhrnSEuslz6YvywSA1X20a1kenzy9mSlR9B6/diUH79/GszdM8OaT+/nk9Xs59NBlrFiaLW1y4fFpH97eGchXN4bzyY1hvH91JDd12jOUdAn3jbvz+T05nHq3S2B2kN9f6uDEwX6OvtLDuc9XceabHZz57XHOHn2b7995UhQzX0It9ImRPkvxsaI00kHOxYOphiiW5PmTF+ZIU6Kv5gfcEOvCRIVKA+tJrrcxPZnubG4K5erBeD5+aIjPHuriqZ15bK50ZH9PEJ882MZnD/bw8d3tfHjbIn55eQXHD+/gtzd2cOiGDm4cyWHPkmS2LU5iZXU0ywtCBDDDRamOm8liVRnHyvwg6gPsGBaZM5kdxGhWIEMiUwalbV3SzyqM1pRAoLKMtguMThfFMpwWTI963a4lEQmgK9adKZE9Sl4Nyrr+9EBRJHwYShFZmB1Gf3IAA/L8t8t2A8qFRPqkP1fBaSxNoWqylD+1IU70iPwcEHjtyoxiaXKQgG8UXfEil0QRXl0azVBGEG2xnixVcwvyY+iQzyGB6WlR9sdyQ2S7RHY1zfgCb6pQ7hAprKlKZkxky0hmGJtqMthcEs92qWtrZQIrRMnZJnLrpvYCru8qEOU+TmRNKMN5MxO8VHzp9pwYBkvT6S9MojMrRu5BPzJ87OnKjaE9Q0UyiSbdzw0Hc0MW6M4lxduRFa35rFtawcp6uccb81mSEaFFiGnPDNfeUE1VpFyA2QvLheXC8i9b/hJm22O96Vf5xgUkl8T7M1WSyrqqTHrSw6hXFpUoNxmIvESb92WJDEy96lW9rKsMcaAp2pulouVPiMDtSfZjTAblkaxwAdFoWmXbwaIY9veVs6stl/UCvCvyVfaZYAZTRWCnCcwlOMvxXWaiI8gA1Cjg1xrlzGoR8Ktq4unPkLaleclA4k1nnLsI4hBGi6JZXZPC+tokEeZxbGtKYVtjLFOFAayvDmN/awY3d5Zw9ZI8tlXHs0Hgc1VJCBur41hbmURPhr+cm7eApB/rq1LYVJ2kBRTvzQ0XmBSALg4XoR8kkBEsA68MOFnRTKkYkGUJMnAWM10cyfJCAVMB8zY5/5YYT/pkUBstT6BbhHpLrC+tcQLHoc6UCxApeGkTQa+SToyVKjcIlW89mzXKLUP6bcuiTCYq0xlUmYOac+R3GhsXpmkT6cYFdnpyEgWwA4lwscfZ0koDWCdrB1wtHbE1tcLKxFqLT6svsKt8ao3056M3RyVMMBSIU24KehrkmRmb4mBth7+7N/YLnLRQYg62Drg4OBHsH46Piw/u9h442ThoCS5U/FwLcwsSktNIzy0gLDKKqKh4EuPyyMuqISkxg5jIeKIjQglwt6euIIyHrh/jnUeX8/5D/Xz77HKOfXgZZ366k7NfXw0/HOD3tzdx82Q6O5tDeWwykHf3BXHHUgvu7bbi+dXufHJVGEceTeHk81n8/HAKHwtofXFrEl/dlcGRv1fw6zN1nPpknDNHDnD617s5+uktTFQnY6o3DwM9QykGGOrqY6inJxA7M7HOUIryN9agfrayPquifIZVXN45cq662M43w9N6AQuM9LE3McLFygwLqcNIwNfg4tkYzdORvtTBWFeX+RdfTIqHLa1y/xQFu1AQaEdJsD01EXa0Cuw0JHpTF+1EebAjDXJ/FPvZCZh6UxMtsOzvIIqSFdnuNqS4WJDva0eWpy3lUR5EO5oR42ohz4A8GwWpLBIoakyS+0sUrAlR9JapxCbpQdqkxSqptyHGi8UR8nxK3fduWsSWzkJGGtK4c88gd182ys07l3HbvmHuP7CKGzYuIzfUg+bEBTy8IpDXtwfyxfURfPdAGh9dF8cuUSiafS/h8RVefH5vESc/GubE4VG+f3Ixxw/1c+adYc59sZqTX2/l3OknOXPyMOeOvc+9m0cIW2CKq6EOPtai/DmKIuBnTVGYAxUxbuRLv3TlCfAVRpAXaEtdvKf0wQKiFhiR720hSp8H1/Sm8Pj2hRzoy6Av142mSBtRmh15ak8FL19ezX0rc/j7pnKe3t3Io7sXc9vaMi4fSmdrQySbqiLZ0ZjA2upY1knZWhvPxopoVuUHs1lkyJQ800tFdk3kRzCdFyFKQZjIiUgtfna/wF5nfBArytNojxHFXNq4fWEuqwQSx1Xc1+JElpek0CdyT0GwSpQwIErIYGYEI2kqpFiMPMPxApwqskuoltK5V8kWAbrJyjQ21BcI2IYKnAaKgiJQLHJxaWqoyNgQlqUEM5SuUtMKyFYpX/9gmuN86dSAV2Sp1D9eEMXe1mx2LU7X3CH2N6dzbVcR22qSBMxDmCqOkb6SeyAxQORXHBPKcFAQy/56OXZZIj3xfiwU+b1cZNneyhiuaEhhryj6u5syWZYuICtQ3SKwuljKkoxYFiaFibxyJcffkeIwD2pEUa+P8iTW0YZwF1vCnWzIl3toqCaVVS3VopTnMVSUQluyUtRFuZc2qaIms12A2QvLheXC8q9a/hJmFwa7sTjWU7OMDuRGiZBM0YJnL4lTIVv86Ez210JaqegDI2XxTJfGMSbbqglbi6J86M+MZkIEe2+6CGIR+uMFEayvUYG3VQihIPYtK2RTfaIWkHwkw1cEbaSWh3xYBHhXkheLYlypixAwjlWD/QIyPczok8FhWsV+zBTgTfGUwcadNmmPShfZKYOAmvSwOFkBgpMWsmgkP4gNdTK4yD4qNu3GkjjWibAfzwnRXhWOyuC2olx+F8fTJ0Awkh1KZ4K/BqZTApRqtnFDuLNAhxwnxUMGtiC21iWwUQaADbUyqJVGorJh7V2azwYB6Cn1Ki8/jI54HxaLwO+Vc1mmrNECJXWB9pT6W1AZ5ESbCPZGGUybE31oEcjpSPfXwpWtlHaslmOulTbtXJJPd36CKAuBrK1NYX93AbtaM9lSlyQDWR6bm4pYUZVFZ34sJQmhhHm44jR/Pm5mlpjrGmoJAJQv6Dzl8zrbQIDOBNP5VpgbWct/ykKprJPzMTIU4NXRFyibj4GhieZ6MEdgTWf2LHTnzhFI1sfcQIXiMsNYAG/uxZfI9vMICgohMi4ZN98ggsJiiIlOJzIkkSC/UMKDw4kKDiDK14WprkKevHGcp69dyqFbWvniqWm+e2U9v3ywm9Of7eaPr/byqUDu1uYYrlqWwHOrA/n06iBeXG7Ds2OmHNriyJfXB/DjPdGcfDaH488W8MtDWfz6eBFHnqni9+caOfJyK6e/3cKpY/dKeY7j3z/M2vYynE2NsDAyxlDOz0DA02DePIFU+Zw7A6yzLrpEs8jOna2iOPwZi1d+z1HZwOS3rnwaqGgHF82R77KvgLCuwK+erJt90SzpI2XNnSP9qIflfDmWvi52Ar2Gss5YipnOHBYYzsPN0pBQJ3NC7U0EHpUVNpwCP2cqI9xoTA2hVZ6rToGfNrknsj0tSXYyIcfLlkRXMxLle3GQs4CFbCNwUS2gUhLpRpE8e/UCho3h7hq8VAhopHstINhSj0IfAWhRpDZ1FLJQ7r9VnZXsXbGEy9d2cGBzN9dt7eWWHUNsG2rA386C0ghrbhkJ4MXNAXx2TSg/PpzN4ctjmU6YT7XTXJ5d7ct3j9dw5vOVnPt8A7+/OcDZ90c5++4IJz+Y4Pzx3Zw/+zinTrzBueNv8tUL15LjZoWDzlysDfWlzMXX1oQYdyvS/exJ8rKiOFoU3zgvgm3na+eTIm2OcbQk0cGM0mA7Ni5JZLAsnFRXU6KsDCkLsac92Z3L2uO5ti+eLfWh7O8QpbMujK4UJ1Ga7VhbE8yW2ghWFwiMioKsLKfrRVndUZ/MnoUZbBUldnOlgtkolslzpUL+TRWq5y5Knt9EruksZ1VhtGbd3CbP2Ia6NG1y56isG1KpZEXGqUQFQxlRjImsGBOQVfA5nKVcsqJoj/AWGRDLpDyTygVAuRUoOaMsuRuasrmio0ZkiMiP6kyRieF0iKxRWRO70wXsMyI0S26XXEsVT3aqQBRokUl9ItuG5PgrZZ/1NSJnKkTpa8zk0oZ0LVzi/tY81jWkskXKdjlPBbtN0X6am0BVhDvVojj0JXixX2BzMNGfAZFNM4k5bBmK92BDbjCXCvBf3pQqkD4zWXahtKkozI3SaC8qY/wEjP0oCXEhyd2WAoFaBbN1Ku2yAGttfIAoWr70iMzslXYOFiQwIgp4s0Bvh/LdlT5eIXJXvWW4ALP/VZazPH3DcfoePP3n7wvL/2/LGe7aeYzkG079+fvP5dhprth7jMzV8t+2E3z+5+oLy/89y1/CrIofO5oXigqyrSYtDIuAXSqA2Z3sJQNAFKNadheVvCCKnsxglqT6UhfuoAXPVhOZOuICtGDhnSLIG6LdqQl3pTdD4C3aRfP5urytiPH8SG0A70x0F/AN0Xxc1QzsURHSvdkqZWqUaPXhlAe7ku/rRkWwJ/05YQLIPixL9aJHQHBQhP2Y1DNVIsBaMQPUvel+sq0jjQKRCyM8tPMYzwlmOjtIBrpIGQRCZfDwlwHShoXRnlocxLWVmVqIGxUqTL22bYlyo0fOpTcjkPoIR5qkLI5xZktLmQj8AJalKL9YRy0xw2SeCp0TzHi2gLsMXotkIFiaoOoNZ1NDIX0F8VQFuUibXOhODRM49qdW+mOxwLjKwa+s10OZQTLIRjKZLUCvLCTZUUQ4WhNqa0lnTiRbF2UL0JbJAJvIZoHbteVprKnO0iI0TFWns0gGoSRXS9yNZ2FrYICVkQlm8wVOZ834v86bZ4CxkSWGumZaxrA5s6XoGGAy3xpzMyv5NMHQ0ExgTgdjPQOBvnkCr/NwsbHC3tQMJ2NjTGbNE7hTmc3m4OHhg29QBG6BIfiFReMjn/4Ctt6eAQR6++PpsIB0GQx3TC3kwMoK9g3F8+QVNXzy91E+f26Cbw9NcfqTLZx4bwuPba+hL9uLPW2hvLQxhMP7/Hh3mwufX+vD17cH8uWNfvz0QDwnXy7k96cL+O3JYo4+W8PvrzRz+r0Bzn25mjM/Xc2JI3/n5O8HOfrNA9y5pZUmgYNUfw8tpqyHpQm2xnrYmxkxf85sPJytsTI0wEJgSxVjldb2YhV/dyY82cV/+xvzBNzn/O0iZv3tYozmzkNH/Sdl9iWz+ZusV/7ICoRNjAylqLBoyi9ZYF/6x0iAV32qPvS2lz4WsNO/6CKMZHtzvXlY6QvkWpsQ5O5AjLcjS1NFiZN7vSLEnXq5J9rlvl6a4KNZ8utivARMPGciYfg4UhTgRLaHDXm+C0ixMyVXzqU80IEKUZiqQpyoCnOlPjWU9vIMOgR+1vQ3sK6/lp3TLexf2cruyYXsm1zM4vw4zAXws4IsuHokhKe3BvHtfbkcfamBw9dkCFjNJ81yDk+tDeG3l5bK9VrJ2c+3cvaTFZz/aIxjr3Tz+9vjcHwXf5x7nLOnX+ePY2/w3QuX05sTgM98AVlRrEyl7yxEibDW1cXFxJAod2uC7EzwsDDAzkgHP3szwtxsCHW0IFjWx3tYkOZtQ4KrNT7m82mKc2FVXRCrakQeZPnTGCFgm+TNQE6oFsFhUbCNPL9hopiGMCr/q2e9R732l6ImOe1QST0E8tpFOe/PCGB1lXJDKBEFPZ7xojAtG9j+rjKukz4ak+d9TGTPKlEq1wsATuRHicLgTGOkKKShbtpbqoGcGG3i1Yb6TJE5SUwXxooinijwHCNwq2KyRmvJBBbH+WquBEuTRDZG+9CaFKz5t/amCegK3HUm+Ek7Q0UxD6RLwG+TQHRfgsgo9bZH4HRElO6VIhfXVopcU4pudQZ7RIndUJnMmMDwYHqEwHESg/kqakuc5l+r/K3bs6JY0VDAqqo0elNUXNsAqSeOFlEeRkSB788IojPagy6B3j0L8+lN8qM/OVBkV5Qo3r40p4SxUMWUzY6gVMC1WvqtS+R9VXgglSEe1EYFUCuQO16RqLmMdUh9w2VRdGcHM5gTRLfIsgo/Wy1j5GSJSh6RIqAb918cZv8EFAGRxvvP/LnunywnT7F67cx221/7c91/u+W0KLQCXddJn/+55r/LcugG1fcnOPTn7/9nln8Gs2d57EpZt/Y4Vzx3ihffOvPfrm//uy9/7TMrQn0iVwBLxXqVAWJEBPyYCr9VFsNyEfTLRCirOLPqU82y3VyXIxCrJq540yHrOqV0qIlPxTG0pwWzKF4EYpq35p6g8piP5YfRlRpIq8BjnpcVFUH2dAvs9mYFMSgA3Z7sI6CrBg9flmWEiiDPZlVFKhsbM7WJYj1pvjTGuDBWEMba6kQtXeO2RZnsbEhjXUUsa0qUlTeEtoQAxqS9u5vT2bcohU2lsl6E+7qKaEYFbodF4F7dXam9OmyO95O2CoxGKfAO0GLtdsk5DIqQ7khwozPFmxUy0IxLHWry2FSRSv/oyUC6rwBooACufKq2yffBYoF/qaM2zpsmGcSKgt3J8nWiXAaLsgg/4mTwLgpwoCXJn5UlcaiQQcoqtEIGJhVTsldZmRNkUIkKojc3inU1CTIIRzNZHMa0KBBqQFtZmsioKBnLy6LZuUT6pTyRuuQACiP9CHK0wURHRTuYiV6gLK4qm5gW2usSPS0N7qzZuujrGWNhYoGfmzu+bh542jkQ7+tJvL8U+cyUAawkMYby1GRig0KIj40lNCwMPwWvYVH4h0fjFRCCjwJZLz98XLywN7cWAJ4v+wjkdxRw3ZoqnrhiEW/f3csH9/fz/gOdfPZkFyc+WMeRN9ZyWU8Knenu3Dody3Mb/Pjo2ki+viuOI09l8Nsz6fz4UAJHny/gxMsVHHuhSj4b5Xcjxw4t5ezHk5z5bg+nfr2Lk0ef5/zJg/x2+Hoe31KvpSidLIqRaxhMjSg2ucHO5IsSkStQsjA7lCZRLNJ87aU4kOBhS6yHA0kCvxHudvg7WBLmakuClyNdxSn4CIR5WBgLfIlSMHcOugK0BgLFerNnyeccAde56AgE60g/G+kaYKh8cwWQTfSNcFrgjKOVjeaSoC9gpz9nLgayvb6y9urqa9ZvK0M9LPR0cTY1IcZVQDXUhcZEH+oT/eReimGyMpHhoggBIm+57901v+sC/wVUBdtS6beARZEuAkne8mlPrpOx7O9OR10evY0FTHRVCdDWcOnyZvatWMg1a5rZ1lOmpeq1mDuLghALrh8O4cXdUXxzfwFHX1nE+9dlsirJhAanORzaHs1PTy7kxOFxTrwr5e0RTrw1yvG3xvn19THOfLuNP848w+njBzn/+yG+fnoPW5Ym0SHPaImfMyletoTZmeNpYoTzfCNsRHkwkn4zlGObKKVJ+tNcdx4O8w1wMNbH08oI2/kqNe9cXKRfKlV63wiBegGwwiB3ou0sKQ2S7wHOGrg3SF+0iWKrQLVXQKonM4xlIpOWJCvXHi9WF6WL8pcs23jSLbJMRTNZIb8n5N6YKo8VhTCC9U05bGzKYkL2H5D9ukRGKdgcSg+i0sda5E0QS+RZHi9WrgZxmkvAoIDcaKFAZmUGW+vztMQuavKVismqtl8a5yNQG6DJkNZYb23yZ7e0TbkkDMrzvUwgdzg3gj6B8iUi63pEBqjoC+urUkU5j6crxU+UX6Vce4pcDWG4MJGVVRksL06iJ0XtL+CcG6fNZ+gSBbg1Qclc5acfJXIoSuSoSlATQ6Mo18pa2yHbdAmEq/aNiNwYlW2GBFiXCEirjF/tcow2eSa6RbnvzYllkQDt0sxIUZYzGCpNYVluDJ2Z4SxOi6RZlOcuFW0lxl/qDaFFFK9F0l9dCtIzwigPdqNCZF2mpx35fg7af/9dYPZ/ZlU7/cLxmW3+C8Dstw+rthznrm/+XPH/B8t/XZg9xXa5J1oe/J8oQv8Nl2/uGaWpqemfln3/dv8f541rpmhvUetbWLblIT7/D91w/M1rGV0i/y1axoZH/3U361/DrIBsp4DaRH4oKwTQ1shAur4skg2igW9UcVoFRDtEOBd62bEo2kcEcJ4I41BZ56/5eDULPLQJiHYl+7M0wZfFIqy7Ury0QaddBume1BAG8qNE+AZT7e9MhqMV8bbzyfZcoPlYKUBri3GjKshaBg0/1lbEsLE2WQuzs6E6TkAuRuA6gtWl8bI+lUn1Wi7Lj7EcX1YUBbKjIY5t9XFsqYtnf3MWu1Tkg+pI9sr61XI+qwrDmdAsz6Fsb8hkOCdSBHo4mxdm0iyQ3BhuLwOQO/VBziwKc6Y9yUuEtAxMGUH05YXLwOQjx1QT5GSdDDpjBVFy3oEitD2YlgFPJYKoiHQjcIEhIfZWuFka4Wlrjp+DFb4LLHE1NSLa1pg2GTw7VbrMRDdGZKBVk+DWlqqQOMraHMeG+gztNeKORYmsKlMTTZy1cGAq1M7ykjAp0o+ZPqJgBDOtflfHCtQmURDsianA0jwBWQWzc2apz9laWC1VVNQCFTtWR6BKuQ84m5oS5uBAhr8fzemx1CRGUhjsS31KFEsLZXBtqGC8sYrO+jLqSgpJjk8iOi4R/5AIvP2D8fEJwNvDB08HF6wNjDETcIv0sqG9Kp4b1i/k9bvGee+BCd4SoD18zxK+ea6XUx8KzB5cxYGhbGrDF3DLeBSv74nj+wfyOflaPWfeWcjRg7Uce7VWPhv57ZVGjh9azKl3O/jt1WaOvdnBSQGsk1/u4/j3t3Hq54f44+ijfPH3aW5ZFsuBJZFsr1YplgNYGrNAlBU1ScpJlAPpK7m/NqlXq+XKhUYG+Tg3+VQQEC73pB+jAo8DFYlMSt9vWhzPkkSVY1+gQJS1gkBHguVaJnpak+DjgJeVJT52C7SUv/Pn6gioKqvsXAFaXYwEak30DTDT18PcQE3WExiWdaoYztXFWM+I+cqHea4eempynlyT+To6mBroYmNmiJPcN+Gi+KQIdGf62JMvxy4Nd6MkQqUVlucrSylfbvJMeQlI+bAkyZN0Nwvyo31pq82V/s9kXCUL6ali+8RCLl+1kJs3tTG9MIMQFxW/eBbFodbcOhHNezcV8dOjVaJAVPPBNUnsLDChL0iPg3sS+f2FpRx5rZefXuritzfGOPb2So69s5avnx/kzPf7+OP085w5+TLnT7zIz6/tZXd3PJsaolie689oppf0vwulfrZketsT4STKjgCtrRRHYyOs9XSwEphVlls7Iz25Fw2w0dfB3kjA1syYYGtj8oMcKAx1JcvLgTxvF6rCvaiL9KUmzEsUPm8ynZxZGh9AU4SH5o5UFWyvuWEsSRCAFTnULzKnIdiJoZxg+kXJ3VSbw94WuadVNj8BzF6VclUUwdEseYbkWe4TuTUgULZM1in/d+VW1RnnL3JOZJAoFyMCbaOyz1heLAMCgioL12CeFIHDkZwILTPXoJonIICrrK9dicrdKoIWafOyhFBRouU/lRAhRtqWLgqwcq/Kj6RR7q9+aU9rsoClAPEy2Vf52ytw7suKpicjnCGBVPV7QEBzPD9OgDZG5FesHCuRcVG2uwXA1ZwH9XZsIDNa5IuqP1KL6a2+q/7qzYlirCxFQDhIm+jWJ23tTotgmdTTFOtHSagz6YECoWkhokzFUScyfKEKbSbntig5lNZ0AfnSXFEEEhlS8bSTg6mXdtaLIl0T7kutnFdJsAchcg97i2KS5G7z3wNmtx2jUaBkz9szx/rPy1keUK+RZZvqCzD7/8jyXx1mOx7+fxfM/tPlzStpH7jp3xS+b+6boqlzJy/8Iud+6nNun2qiffer0kvav9w7Osrtim6PvMBO2e7V82r9ER7ftIHHf9Q2+r9k+UuYVa/amiOc6EryYUoEbY8M9tMCgcsLBALzo7XJKy0ymNaEuGjxYzfV5wpMxQvcBdMap9wA1Kv4QNRM4EEBtokCKYVBWjKGaRkMVorQXS7QtkJl6CqKkn1jqAhwoEbNIE7xFoHsx5J4+Z7gznCWrwh/by3mZo/A46SA3riA7IqCWFbnx7JSoHhc+bxmyAAeq+I12tCX6aG9dhwRKF9dnkB/qj8rMzzZXhXB9opYdtYkyqAk3xuTuLQhRbYLkQHMl7H8cBk83GgTKGiPF4BVfl9lcTTHyqAZ4zVjoZGBokkDXD/aBGDVrOxOGYCa5XdhkI0AjxetAuuJAiH2hvOYLyCpc/HF6Cv/yjlzNauUjb4+PuYGVKpQOykBMuB605mgZkb7yQAVzKBAQE+WN2tqYrXQX+trwwXo/Zku9GZ5YQg7FyWzqS5GIDeedTWRAvAhTAnUbqyI0EC/JsqXBYZGzFavxi9RMWJnYFb5w86RT+V+oGX8UusunqX5lFrpGxLr5U6anztRrvakeDhTGSv1NpSyq72etbWF9JZkUpudRkZCMpHh0fj4BuLh6YeXuy/ebl44W9tpoaoM5BwXGOtSnhbI5t4CXr9nOR88OM2hm9v5+OEefnp1nDOfbuT3N9dz27oyKoLM2bbYm4MHCvn52U7OfLKKUx+McuyjUY6+3ceRQx38+vISjr3exZmPhzn+bi8n3u3n9MfrOfnZPo68u42fXpji68dHefWKJq5rjeHatnD2NAQznuMlyos3K/9MGbtFlKK15RFMF/hLXwYyLrC1Tvp7fUmwtk13vINArT/jJaGMFQexu1XAeFkqq8vUBJtgNtdGsaY0iK014WxpTGSwJEEgIp7icE+BXAvs9PQxk36eL31rLlBvoSMKg1x/GwM9rPQEaqWvDWfNwlCui6m+kQa0KlawCpumYuCqCAt681S4tHnaBDW9uXOZP28eJgLI9gJ/LuYmBDnZURDhR0WMN4uSAjUfxoJAJwFUczwczchKCqUyN4HW8gxGWktY3lHGlqE6rl27lDu3ddEt97SHrSmWUndplBO3rczk8C1V/PpEPT8/UcY7V0Syp9CQJd6zeO2qHI4dGpQ+n+L44eUcPbyGE+9t4NgbK/j+mT44ei3nT78oMPsa54+9yIlPD3DLqhyu7U1lb10ol1bIPZ3hQk+KG40CmPVxnlQKdBYGOovC5ExpiBO53nakedgKADlS6G9DaZijAKsrleFOFPkvoD3TlxF5Xnsy/bVJmspi2Z+hXIzCWSHrx/LCBC5DNDeoEXmGOmJdBfiC6E/xZTIrSK6x+i7tEBm2TBRRBa0rS5Jl/2iGc2fiXCuoXFOjshzGCcgGyf0RSr/IhJWiwK+vTmRCQG9zZTpTAnQKRHsSAhkU2OwXwNTcBwRwVTzYyYJ4LTbriEovXJEsMi5Jmz+wqiJJ6hVoToiQY0XKpyiyAoD9IidXifKkfKcXGOvhbT1fFCRjUjxtaRWAHBZIHRZg7UsPF/kzk862XVl/c8IYVnFgc+PoTYkTSBf5K9sMCLiOFci6NAHg9Ggt9uxAfryW2WuiPJWBnDiW1xQwWpRNV3qYyDMv2pVcU0kOUkR+JwTIMSIYEPk6Xp5GXbQ/JUGuNMSJ8iTn3p0bTVNMgMjICHoFqHvlPJcmBtEQ6UNLgrLMRrJcTRYWZaAlfibcoLKW/7eA2RtOcIvAauY1/+QV/GcnZkD3iZN0/H/B7Hm+feUEfRsVbElZe4y+W07x7X+q5J8DzwyU/jug/eP3Yx+cZLVqy5/1rX7iH/vN1PMPC7FWdp7k2z//5YdT7PmH76aU0r0nePGH/wjn/yOM/fvvD+XYjetn9svcdpwHPtPI49+X02d48ZbjlP7papG58Th7Xvmfn8/M8k/O/dhpHrjhOPl/1pUvx7vi4H+u639c/pdh9v+wD/5sz4On/9P55O+Wuo/8D4rMV6fYuPs/XIeHT3HFf+i/mfOd2f8f5d/vjT84+t5/vo6N15zkw/90jD/bctcp7rpyZruZ/f9cf/8pHvsP/aTO5Z1jUu9b/36/Za4/Lu06zVGtvj+X/xP9+3+8CISuaWLq4SN//v6G24ea2PrMf6j3o5tY1rSKx7VNXmVnkwCs9scM2N4ryteRR1cxcONH2tr/q5a/hNmt1XGsKROBLIPAyuIwlsugMaBCcOWFMlWghJcPvQK2i7VXeZ4irEVoxvtooNefFchofhCjApIrSsJYXykD4+JEdjTOWEqv6iriuqEqru0vYl2lsq6GsrEqmg21cVzaksW+rkJtZvFQZiBbm1KYyA5hWYwPS8N96EsMpldZUHJDBSiiWKEy2+SFMCZAuEraMyb7NETaUxq+gG6B4PVNqTKIxDOUHUCurwHD6Z7aTOcr2jLZ0SQguyiRDeWhMrj5yjE8WBrpJkCYJKCogGemD3a0ZMqAECxC2VOL2tAt0Kossh0yAAzJ4LBQBsI62bc+Svn1CgBGulIW6kaMrZmWZMFSIEZNJpozSwHtbAznKridhbW+DlkqZ352OM3q1XeQG/l+C4hwnE+au6EoCpYC/zIQy3mtKguVEsJ4UTArSiPYtzibbfXxWr9u/dMCva5M+lpgVqW6bEyJwcfRBT2V/esiHXRm6aEzW4XpUuG5dAViVXIEAVqBp0tmyfc5KjatbCPf9QSiDAS6zaR9blamJPu4UBPpT1WkKBipMSwryqUmM5fYsEi8XH3wcPMlxDeCmOAEbC0XyPnJ+Qq4G82bi5+TJX11cdy3t4XnrmrhrTu7+fKZMX58fYrfD6/g1EdbeOnmVjqyHOWesuCJy6r47qkhznyxh2Pvr+eogtUvt3Dyo+X89vqAPMADHH9vhGMfjnHio9Wc++4ajn16De/fO8Cre8t4bDKNW5fEckd3Gtc1x7K1xI+VuZ7srg7n0mp1H2YJwEYLTHgLkMh/ArfDye6szQ9lU0WMwIkHoxkeGriul/tiOt+HTTWB8tuPoUR7mqPsqfKzojXUkssb5DrURYqy5Ul3ojONfuZaPOWaMHdK/QQ2/e2oSfSnOMqLZHdbMgI9SPR1I97HA2/li2w0f8ZKa6Am481EV5gtCoZyCdGZp88cFWlBhUOTa6QiUsy7aB66cu0MlUI0bw4m82ZjYaCrTTybL1BqrDtHK26O9uRlJZOfnUBTRQ7LlKtBaxGbu8u5e9My7tsxQGdJEs6WJljKsRZK++/enMXbtxTx1YOiTDxdx1sHEri0xJBm34t5cV8G3z3RJddqkyjel3Lmsx2cfGcNPz3Rzfs3V3FWxZk9/Tznzh7mzLGDoqTs48nNmdwiysTeKj825ruyrtCN/oQF9Ahs9oocaU8QZVGUVmUpVbGj1VuQRaIg9+YIiCa4af/1ZYiSlyZyRuTIkCh4AyKLVLQT5QbQE+fBUHqAFFFSi0M1ObO5Ttq8KFWTVyq+tbK4tyd6yrOtJmClsFye5eVKlhUJ5AlkKR/1DVUJAsDeLBVlfWNtiqZUryiLYVJFWJG6NxSFC8DGyrOWzuqSRNZJWV8ez6aqNEYFXFWq2aVxKuZruCijvvQJ5KqJXWMCyP2pCpyV+1GQnLN8JgWIghzMYuU6JMDXEetPR1wgS6M8GJBjlfrasuCSi0UJEuVSlJ8gAdqlaSEMFClIFRkodai3Xa2iLKv43h0ik/oFOMcKkuT800Q2y339p/tDR1qYlpK2S2C7NVlZo6M0q+6kXPeR/CSGBGyXpoTRECtyVSkHIoNGytIFnFPldxiDeTGizKUyUppBf1Eyg8WJqLBwTSLnugVo+3PjtdKh4FrOXVmnu9Ij6EyPEqUjhR7Zv1vOuy8jVGSHixzH478HzB4QAH1ixuL5wE9//qUtf/DObfK/ckH46iQt/wYcavlDAxoFIS0CsB9+d4YPnztBi0BE5m6BzH/jwX8CdLL8c5iVfbce55bnTnHojVPcovwxZd0VH6gtznP6yFk+vHemnde9d5ajv5/T9uWnk4zIcUuvlPq+OMu3H51k41bZd7P8PjmzyV/CrOxXLfs9Jsc7JO2f2jyz34d/bsV52U6gTvmF7nnuNN9+d5rHBATVef/Hc/pfg9k/69os5/jGGY5+cZq7rvsT5N7681z+yfK/BLP/S30w055M2a7llpO8qM75iT+v2ZWn/h0Kj834SGfuOMEDr/zna/Fv/XdS+v+IbCfrWu4VoJRrI7eythx97QSlsl71q2rL529Iv/6jLcdmtvlHW1Sd1ftPcJ0oS4c++8/rpwRoD717+t/bKHWUqr6T6/DOu//epn9/o/B/rn//D5fPb2Jg0VZe+DejtILVJnYe/POntqh17Vz5tvr+P1pmZd8fn2brsit593/Qk/53l7+E2ZUixNfViCYvn2tFmK8qjtSgckw59edF0Ccgp2LK9mar2KiutMlgoCZydSR5MSwDj/I3HcwJZKVA6Y76FLbUJLJSBpwJZfHK9mVzhdRZ4M9oqocWZmtlhZrc4afB2C3dZeyozWBLfRLbaqIEPlTGsVCWxQcIXEeyTmBzVXEUlzYmcmV3FpctzWBHQ6LUHczqqijGBPZGBLrVhLDJ8hgtgPiG4gjWyKC4TrWhKJQR+dzamiGDToCAerAMfjHaLOKBBL8/2xurzYreWRfD/qUKgASUpf4VFXL8qiRUKshBGQBqw93J9bMn0U3NPDeS3wJ+UqoDHWgQqKkI96Ug3I9wV1uczefjbW2Gq4UZVnoGBDpYslggfFLqXlUUwoqcEEZE+C+N9qMmwIE0F3PK/R2pCXSnJVr6WlmXskI0P7cJGeA2NKQxnCMDvvR5V7IMSnIdVAzSpfJ/qkCTh42dFrLL0tQKM2MT9OeqRAEGGOgYYqRnJNAkEDt7roCsQJOOPjpSVAQEtX6e2lZXpXidi6nuPNxNjfC1NiXNx51kby8iPHwJ9g7A1d4dO0tHPBzccbV1wczABMN5elpoK8M583CzMaOjJJyb11fx9h39/PDKRr57eR0/vb6K399bw4lPtvPV89Ps6IylMcKMW9dk8tkDSzl2eJ3A7EZ+ODjOD4cEXN+f4OThMY69OSwwO8ap7zZz8pu9nP7yKr56dJhbemJ4cDyFB0fSuWNZItc3R7OtJJj1cp23i5KkYgpPC7AOZwZTGmhJgY8pXYkedMU4CWS5yn3oyVS2H6sLfRlPsWddgYBVtC0jKa7saYnTlLMiT1s2iOKg4pfWhdnLoC7KVa4fbUlObK4JZWtpMGsLAtlcFs5WUdI21si90hDP8rokBotiRclR6ZLdiXSxxcvKQotRq9wKVGQFZSGfJwqP+q58m7WUwnIdVIKLGWv6LClzmSNKh/48leBC/p81i7nKH1rKvItmYzXfCGuD+USGBFGQk0VORiJ1ZTm01eTQW5PG1MI0dg+Uce2KVuoEkqwMdTG56BKGa8J4aHsW79xZxLePVfDrc4v48PYSOYcFdEUY8OzWVH55YYjjH2wV5WIXJz/Zze+HVvL61QW8dEU2p766lHMnnhEQOcy5M69z6ot9PDQZy2UNAexdGCZKg6s8676MpInSKzKhX+CpLsSRKi1Cgbp3PTXr52hBiNzjXvSluwl0qbc4IivyAwVAQ1hVEkpfqvS3bK+STawSpW65QOxUYajsK8+iKNAry1Ws6VhRQtXrf3mmRTlRFtz2BB/qRVlU7kENEQ6M5AoURnuwc1E2e5qzUelu/z/t/QeYZWlV9o3LxM5hOndVdeWczqmTc6hTVadyzjnnnHPOoXP3dPfkGXBACQoqKibUT1ReJSgqIoKifijoK0GC4v2/19PT48w4owO+vn/5qH1du6v61D47PGn97mevZ6059ucViSKQY8C15nQCr5F9S6vOs0DRPF9ix6Cb95TBMVCEdFEm25MPswUujGRb0O6MxSDhdcjHNkaA3JIxgmA7xnFS4HYsQ3xlzWi3JmGywIsuAqP483cThjsciRRIgSjinquNgCchHK7IS4TAWPRmmlV62iEC4yCBdojjg4w7A+n3wwSO58liMwNazRo02xOQEXsB/uQQFOpjUcMxQ44ZJrT3elLQaddwTOa4TjBfKndjmOOEgGmzNwmDeQ7CazoFAJ+JY8t6RSqh1846Ydsv4jMWiL8s64DfGc22os1OgM+xo9dHoM/g8xOYW10atPE6kwRrccep0Ms6CAJtthmDOdYfDpiVGc5XFnm9biHYaz8joAg4vAqzD/5GkHnd9vn7M7nzv/nPr3zw/cAsIeRLr5m9k2u84bsPjnutm8FXf+2bqLrMc70WFP7gn5CnIOaV/78VzMqzv+Z79/2D/+383/nt++D60udfO6v4r/jiB/ldAu5HXpmse1sw+51//zxUxHjpGsvxp9566dTbgdm3Vwb37yfvpdeAKzf1LK85/xd/5v6zffRV8OTG+3xagPTV8pPtzer2u/dn+SmQXj9jer+9lHzgwXO++b08+Lzq1ePub/fvUYTNa+rhe9/Gthz7oA3+gOX7H2/fxW9dbcTou1/rUf45vDz0hpnZ7xFaXwO43/zsy1h51Wf2M/jo3sAroPt/dntrmKVxmczUYjQ1EQuErflcs1o4NeZOJIwSEko9WOMxa+U0HP44BQLLeUlqNktmYiW+43KFQ0UZmMuz4WpdroopK8ZsguAw609QwcuXCXBTvmTM5NAQpMZgys/ryYyvIwZ9qdGETxOWCmhsaBjGfRosEWKX+ZmsWL5c5cLNljSsFhqwQCidz9JgPi9ZLVgbSE1SrwsXy1LvB0sXOCfMrPHYzQobB2gT5gnrC+KbSlC/2p6L2TKPCiAufrkSImyzhNdNS8KLAwX4ifEqXCWU3GpNw5NtsjraSOC3YZwGSiIs9HLQriLg9PjllW8UajQh6Keh6iKAy+rhNkc0Kg0haLDFqHA8JTSuNc5EDvI6XCEcbZfqcLXKTMg3YIdA/lRPBraqrVgnkM/K7EsuIZ3PIPctPoETxS4aCgoJVwyanRLzNwoNBPEajwZ5pliYIy8i7NwZXDh1UsWTlRBTh9QCpUMq1uyxIyfUq215jX2QYHSI8CkAe/DAIZUlS34eJszK7KC4JxwmZB3j72eOHMZpQljQ6fMIPh+E86cu4syJs7hw7CwCzwSqVLsCZRLCSqIenD1yEA0sk7uT+fil2234i1/dwD/+/m187Q+eJJRex3e+eA//+MnL+NDlCpbPWYwXxOLT72nG1z65gm98dhf/8Efr+MuPjuDvPtaHr39iBF//gyl8+/Pz+M7fXMc/f/Xd+Nbn7uA9fSZMZwTj+TYbdxde6svA7QYb1vJ0WGS7WsylCMpKRg/FVhPrqMkYhH4CjoRoG6QAWMgkaHkjKF6S8UyzEzfK2S4zIjFmDcJiegye7fHhhbEi5MYHodoejdUaD/rYhjttrM+Uc5jKjGGbMmCddbhWQnjLlRSjSWhNjUOpOQI+ih1d6FmEnjqGwJNHcerwYVUfhwmqBx+7X9YSCeExQunBx46y3A7z//z7AXExELh9GAdZ/gKtktXtMX73EQLuwwK+r8THPfjIIZxgfQWcOgOXxQiP1YwMlxU1hK7O8kwMVqWhl0A2yj55dagC5a4UNat76qGHMFKajJ/ezcQn31eCv/z5cvzTJ0fx+Z9rxZ0etl/jUXziqXz8/cem8I0/vYGvf/EZfPPPWWefWMLvvZCLP/uFenzv71/Av/zz7xBIPoV//qffxnc+t4enGygMimJxpSYFGzz/JMeI2exENUsqkUTkDceozKxmEP4rXdipcKKHkNuTSpj1RVEwy+ymlj8JpYUaXK8yYYPtf8wTz/EmUSVLGeV5Ftl3Z9iHJgh3g84YbBA8JylYxgiA/bxGJ6FqmP1kJMuAQYrx8qQLysdcRGeNKQK1Dsk4SLFc7MASBfAGwfYWIfdGs1+lDJZrTPPzaQr4Sfa7Gf4cTE8hjBIm2Y9n8wl6BM0xQudKZQa2a/1sV/ddoCYIf5MUnz0cB3q8BFeXgC3HuQyrmjXtzzGqhVHtEnOWez9BVSIEjHJckQxuEsml1atHI78/lsNxtEjcDSz3ffL5UxK79KdZ0J9uJhDfh+JawnAPhUor763GFocOfrdXsncVObHC8W290oflcg/HRRfHOxfmSpyYL/Viks+xXpmF1VIf5nIIthyzJ3Otyj93XH4v5vMUEOgzjJCkMkN+K0byXIRXcWNwEFyjkB97CcVJEWh2cCzk+NbuuZ+muzfLipXm4h8emH0wC0sgemC2v/ra2do3wuwr/3/p86/8/9WNMEN4+DfoeTPgeSuY/U9gkNubweybbn/9RreIt4DZ18EZN/Vc/3Z+BZKvKZNXtzfMVL+9++c1X5nl3f55mc1+e7OFb9vN4I3bvyuDt1MXr9zj3W+9ATLfrLze5HyvXHP1t974bP+Kj73E77/qGvLm9/L27vHBdv/Y19XpD1C+/+H29x/GfOM8Pvz3r/z/le2L7x59jc/sX+OjV7vR2DiAl9/Ei+CbH7uB0XufxF//5g0MyIKxtim8+KlvvvLX/9r2ljA7lpHMwTwWo4S5HRpCySYzRoMxThU/kZ5Aw2IiaJmwJjm/achnswm0OfGEzhgalXAMOGPRbZeFHwno40AtSRPm8yVRAeFX4s7maNTPxUJ+v8St3AVmxC+Oxq7WEIyCpPOoTL6IyfR4npdAQqDuskVjq9apZslmCZOXGzKxW5/O3/W8zzjeo8z8xGOWULuYR+NS6sD1ngpMF+hp3OJwWWLK0tCNE1SXygiIxUa0mSWMViz6aezq7QlooUGdEcNW5sStJj8maAzXiozYo8HdJozfaknH1QY3rtTasUcYvlLtxbX6NKxIWLACQnWlQ0VukFekAtxNumAMOyO4EziN55ULxnqpnQY7iQYrCc3WCOW/uVqswQ6FwFaJDgvZCbjRROioNeOF3gw83ZXB363Ya3BisVjPa1lwp58Gtz2Nz+/GPAFqsdKKzRof9hr9mCokGGSYUWZNQZ7dCHtSAsLOnMXZ40eV/+VhNQMrsERgfQVcBWYPcz9y6LD6TP7/OEFJwRMh6ghhKTEiguc4gQMCtwLHPJf44krWrAsnziE6NIl/O6x8ceWcJw4fxcUTJ1HsMmO6LgvrnV789NUm/NHPLuLLv72Hb/7hNfzjp3bxjT/Ywxc+Oo3FpmS0pp3Fbz5bhS//xoSC2e986Q6++WeX8Q+/O4F/+O0B/NPnlvDPf30Z3/3yc/jnL78ff/e7e7haI64YCbjbase1CraLctlNuF3POmzwqHz63eYQ9DlCMURovVrjwtVqD4GDEJIWz/JOpmiLpGBLxq64vVCUbeWnYN6fhGUKo42CFIxmaWG8dBrRx46gyRpN0HOzrhLRZw3AeHoExR/hIyMaEwToEm0YbGHnEEpwPX34oIptKxEMjvDnscNHcIhlc1DNfLM+uB88IKKCdXDgCI4fPq2SXRw+KAkuDqp4t48TOCVs2OMPH+RPKXPWC+vkYdaD8nnm/x+WmVsCrtRfXGw09MmJ8NmMqCn0o700DaOErFJnPKqkfTdnoLPUiZSoCwg98Aimq3X4wNU8/P77a/DZD5Tj23+8ha9+bBEvThBarMfxiafz8ZX/Zxbf+otn8O2/fRnf/avn8bVPzOMzP5GPv/u9MeBbHyZYfALf+dYn8M/f/A189ben8XyvAXdaNRQHFLdFLEcRrtI/ii2YpSCdEn/PNC3HkhTslRLSCJwDBNAxguMEx4AZHi8LGtfLzFgvui/0liiERwmYw6nJPF5LkKXAI4hKfOhBQqmMVTKzKsC5kC+uJDpMy+wi4XJA3iTx7zXGYJRrA6G9eAznH3+IYutRuCLOEMgMWKpgH68m7OVZMcpyGvAmUJDGcnwxsI8R8AiR4kbQz/PKYs8ewtqYX6d8bcclOgDHN3En6LTHqYVj4h4k99pHgSnwK1A7ki5ZBq0YyDShXQA3g7CbRpCVeNty70U2grEe7RKnmnArGRM7fDw/YVYiDszkSUIF8Xsl8LrFjcBKEObz828DFNadBOb+bDMhWIsWd5JaYFtriEabM4Fla8cIz9PqTEKbzKLKjC/HyXGJ0MDymsmxY6M8DUvFHparxA5PVd+RbGUVRopvk7jQxKBPQLYgFW0E6Vp7CiaLMgjhmai3aShIk1GqjUGlVvyjY++nybXTlhR4f4hgltsD/1j12vb+3171o30DzMqM5ZtD5RvO+Tbh5O3B4IPj3njd+767k4RomUWV+3yw/9dg9nv46As85tVnec32CrQ9uLe3e//K//YD30Tba/yMld/nf/D6+e3B7Nspg7dTF29RLm/6+Zuc75U29G/X/Lft9c/x5vfy9u7xwXb/2Nfd0w9Qvv/R9pnnCKlXf4tP/4bte3+Hj94aQJtEOeiYwjO/+l5sveoz+5rtmx/Hjakb+Pj/5s+2y/go//7dL74XU69ZTPZf2d4SZlsdMYSvS2gwhanXW63meLXgYoKQNuCIwHR6Iga90Ry4w9FkCESL4RKyaOybacjrE4MJtAREaxSWJQEBB/nd+ixcac7E5aYMTEkaxiobVqvdaqHXiF+LqawULBQSeGtsBD4agvQkjNP4LhJwR1zRWCHwDRBIr7R4MV9uRT2BQlLkDtKQ9afzeAJnK4HlRoMVi7k6GiQjlvL0GCfIDmZL7Ek9rhP0LsvMh6z2JcC2WsLQ44ziIC6ZlLQoTghTKUa3alPxEzM1ePdQMW4STp9sScMAoVYiMaiwYN5Y3q+BUOnFIO91kIA6kJnAZ7LgRqcfGwTellQeSwAXI2WLfgiDvHeJuzuWSaPB8pgtIWwTPncaU7FAw/1cRzaeanTjRo0D42mxmCxIxGoJAZdwu5KvwWp+kvLjXC9Oxo8PZ+G5wVxsSC74Qq1yUXiyPR13Wpx4rtOFp9o8eLY7A09xv8P7udaUi6FMF6ocSbBHByI+NBCBp8/gJEHqkPjQPnSA++OEpcdxUCBVIJeAdeyVdLhH+P+AJ06hKsMDa3y8iqF6iMceIDxJtITDjz6OUwePwePw48SR03j4IZkxPIBTh48h4NRpmGMiUenSY5iAuTeQjp+6WodPfWAYX/r1Ofzvj6/ga5/ZwT/+yS4+8bM92OpJwvt2svDnH+knuF7GtwhO3/z8PXz7j7bx7T9YxL/81Q6++ze38K0v3MW//uU78YnnGnG1PB63G814qc2O64UJeGenFbfKdNhlmT3T7MXTDemYz4zDcr7MFibiA4N5uFxqwpQvAb0OigxdAKo0gQqiBrxs92zPba4oGudo+GIvIP4JWW3/KJ547FF44y7hzng+fvlKBZ7vohAriMJeTQqebLVBcvPP5GpQoQ1H8hMncJrlckRgnz+PEzKlHAVaJaWwxP49THhVs+ACtiIkxH/2yEmKgJM4xLKXY46wDA8dOMrvnuJ+gsB6gGLhEe4PEWB/DI+8Q36X+LgPq9ndRx5+GEHBl6BJSoTdoEF9cTZ6qjIx05oHR9Q5OCLPobfMiqm2DEy0+5ETew5LLSb88nOV+PNf78JnP1SNr396nWJiCZe72IfKQvHFDzXgm5+5jG//xXP417/7cXzvr+7hyx8bxmd+qhRf++wOB82P4bvfJsx+8/fwvW//Or7+exP4iWk3frLPgJfqEnGrQo818U/OluxWDkjGrA6WbaM+EAPsE9slLjXrOUXxN87+JVEZJEXsDIXBWrEJTzW58K7OVBWJZIdiY4ei7g7b+wrBeFKgmGOAjE29HCckhOA4x5fVUsIfrzOVZVQ+uhI7uov9ts4Ypvpxsz0GDYROP+vKFXqW/VeDvTqfuo9pnktm7mXBaY02FNU6HmtN5vc17EcGFcVliKJYYHc8LRmSPGFM/Fd5HXG/EniW+LTivjDsEz9ZEa0JGEhN4d/MPFb6fypGcymAy1zo49jTk5aIOQrseXlzxWuM+HQYJpzKArPRDCPFvIfjqAvX64sxkymJGTwcRyX+rIeAalFZxEZkMVsBBTvBe0SgO02noiHU6CIJoOJaJZEbTOoZRgi/HR6KbWcyqgzh6LREYsCaiAUCraQiHydwy4zzaBaFKM87JbPBeQRhgnkbr9WSaiY0uzCc6yaUGwnEmejJdqLd7yC8ynhoUwsTJT1up8+goiT8UMHsg8gFArCvA1tu/4NnZuUVu3/9m7gqPq3iuyng8j9yZvYN27f+GX/6K99U/qX/UZzftwOzb68M3k5dsFxkdvO5V0TMq9vbhNn/v87MvmF7m+X7ltu3fwuXm0fx8tugzm/++mU0Ln4Yr2fZ7+KT90Zx42PfZLl8EFNTH8T9ZvXaBWL/te0tYVZ8wAYIq+22cPR64tRsVIszRoUAmshIQr89Eu2STIAg0GEJRa8zAiXhgahPiUa/Jx6X64y42iguAoSI3GQ82ezBdrUVQ944pAafVHFlJSd5XsI5qviLKE+8SMNAkKy0YYugd5UGdzM/BVdLtZjxRWOKg/1KsSzg8WKA4Jty4Si8MQHIjA9BsTYEklN9uVzHQT8ZG6VGlepxxBmJFnMoGnk/g/Larygd6xWZ2K0rpCEwq2xdc3kpyoDM5xvQZIpAO+FzptCCW1052KtyYzE9BesEZfn7SJrMniQrV4btGkmV6SJAR6GHoFtrDOFgr8X7J7pUuKRaigAJ7C5xZ5fydRgn3K6UGDHN30cyY2ksEnCtRdLm0jBlJ2LCE0U41WOz1KBer44QfiV82F65C6syay2z2YTyqSyWZzH/T1DvNQZikvck31vOS8SNWgPms6Iwmx2Da3UG3GxKwXZlBBbyw7DXYMFGrYUGz4DODD3aM5yodJqRGpcAfUgoIs+cwYVjkmzhCM4dP4oLAmOyKp8wJe4FQefOwK2JQ8jpJ3Dq0CH1t2MHDhK87rsdnDt6FFmpmTh77Bwhl7D76AH+jZ+fOKnCTBkvnUJO9AmM5kfi3rAX71vNxa/dq8Mfvq8Vf/2bE/jff7CLL398FT+z48MvXsvFF39pBN/9/G186y+ex9///lX8w29v4/M/NYS//tUx9Rr7G39wGV/6mX78eK+WwB+Fd/ek4kPDfuxlxWInLxZPlqfgSqket2rtuFGux50aPWGIbbJKz92ALYlKUGHHpC8Jo4SbTsKOZKar0YfCHHAMYSceR+jZozh3ksD/6CM4THCPfOIYhtKj8L5RF35qyocX2nW4W5+EF3rMeFePnee38Jps86ybWn0UzIFnkXj+FCJPnUAgy0IiEVzkfubY/TKV8pNyOvQYf76yq0gGFAKSaU0iGxw9KKl4j+PsiYv82zHCqsQMlplZgitBVmbOxc/2UQLu4w9L2LWHcPH8Beg1GgWztUV+TDQXYr6rlPfCunj4ITTm2rDUnYYXt6vw0lwebg178JsvVONLv9mDz/5sAz734VG8b68Sjd5gjOdH4A/fWYfv/Nmz+NrnnsE//fkN/Muf7xBm+/EnP1uNb/+/78I/f+tT+NbXCbLf+V18/QvP4afHzbjXYsXzLWbcqqKoKNVgV9445GrR701Ci+1+uuc2YxQG2Efm8ylIXTGYymAfL5T0sR6CqAaDksCA7XWFfeZ2nQM35C0Q+9hTbakcW7wclxJQa46FpM6W1+ESj7WF9Shj1GBqEiYJYavFTiyWWHGjLY2gSYGZQ8FBoTshbkr1TlxvTsNyiSyiMmKtNoOgyX6eKvGjE3msiFyJLGJmOVgxV+4kYKYoV6RB9iFZkLWQJ7OaDhWzVmZtJ/Jt9/dcKwWpFcuVTkKlhgBvw1pZPsby3RxnLrH/WzBX6sZmQyb7rwtLhMX1Mh/udl7Fanm6uvdebwrH1kRMFziwWORSEQ3GJGEDQbJGm4Aer0RrsWOKAmGmxInl6vvRGSTE4JCbUE+oll1ChC1XeFW4sA5LnIpGIz64rQRZ8bOt1YRinte43JSD9VIflsv8FBVOLEhSCZ57scKDHsL1dJEbvYThHn633sn6IZSP8tlLUwj7tgQMF/BZCej1/H2AMCyzspIsQhajDfP5f7hg9v6Mq58wN/8cP39t7Nk3wuz34zPL4/Le99rj/hV/+gGe/zVw8oPD7CuB+984e/rZf3pDKLEfDGbfrs/sV3/p/n09+L/avvFtzL/2/t9UALzFfbxm+89h9u2WwdsDxf+bPrNvvJe3e4/3t/vHvnpPP2D5vtWm4s3+O0B9/fbdb/4dPverdzDaNoAX3+gT+6UPYv7qR6EcCr73bzOz+NL/hZlZiXk6kyUAeT9O53B6Igd1ncq6tURDMGQJxwL/PpEucBtHg6HDkiyS8OjQoLlEgNPgKQLG9RYPrjWnYl1mXQl5U754VOkIvQTMpwdLCYUeGjk9+gyhmHKGY7PciJ0iCxYztLxOMlYIHbI4rN0UjcvVGTQ+mQThMEQeehylhLEcsx4pF0+pUGG3+7IxL0aTYHetwY7dKgvazJeUr6rl0jEYL55AbnI4ag0JNHrRuNLkxmXe35isbM/SokEXjhJNAFpcscplYLfagxm/nM+sZpMHee89hM4OaxiGCeUDnlga4TiVUrfJHIlygtBgrgWXG7Jo0CTmJL9balazyqsFOqzw9wWC+rz4+PIzmeWdo8EcpUEXWG8nTMtCrgaCcRfFxEQ2jyt0EnC9NHZOGpz7C13mCs1q5ul6sxdXm90qIsNseoxyU5jOktXVMayTBIz6wzFblEAwSMCYnyCcLwvIkmgEI3meZPQQsOU15DANb3uqRmX9yacYKdDFoNiYAG9sCFITomAMvwRNaCDCTxNwZRX9oQM4e/ggTh86jDME2eOPPY6z/N0QF4fDDx1QqV4l3Nchfi6zko+94yGcOfgYtAEnYQs9gb4CDS73e/D8fB4+uFOA339/P77wO9v4i9/Zwuc/MoM//dAovvBzk/jKxzYIryv40FoRfuPpTrx3Og8v9lvxFx+dwyfe24uf2y7CzXqeqyQJ72yz4yaFz7UKAxZzE7FcmIxFmbUu0uN6hQlzqeGY9kUS9mOwVpCExfwEtu9YdBkvEaIS0EdxVhR3HprjBxD3xGFcZPs6+sgjOH/iGAJOnkTY2SdQ65CMSXa8p8eC57rM+OlRD3520oufGXfj/b0OPFevwzubrXi23oxrVbwmy7vbHcWdAs/HOmAb6iAoFeqjYY0IQnLgBcQFXETQ8ZMUAQTcA4dUmUk0iQdlJ4vpjj5+CMcPnMSRx468Ar0iFu6DsACv8qdleUuZizvCmSfOQJ+shcOoQ2VBOoYaSlCSZuezHMUBwm5lpgNT4oIxmYOfvt6I5+ay8bOXc/BXH+3Hl35lAr/2TC/6WW4Z8adQmHIBu91W/PmvbeCbn38R3/iTy/inT43g739vEF/59DT+5Z9+Ed/55ifxna/9Dv75Kz+Lj7/QhGfbCfbNLiyzvUoIvVuNbqxyPJiWBaTZBMkcA9ukDhN+CtWsJPalKOXS1MZ+NcbxZI9lJ98XX/YpCrkmQziGUqOww7For8yM5zozcaXacf/tCvuxANiNpmyKZY8aXyR96yABstnFMs83oY19SWJBj7CexY1JMmvJ25wuwvBSqV25Kwz7BVBT2L/5HY49PexDY+wb4sawXEJYLbBjrz4Ti4Rj5bOayb6YbnzFN5Z9Oc/GscetoLovTc9za9HhSYaksx7MMqCbYDqYbsBotp19m/0zi7DK/3cTmsXVao5lJfG1B3n8UJYJg4TWUYLvaC7HJ4KlxJgV39c2Vwp/mtHq1hMSTVgrzyF4OnjPvD7vYY7jj2QkW8y1K5eHKd7/YpENezVpuFKVipU8C6Z5jS6WTZePY0WaFuUpkWhyCZya0M42LufuJDAvFrsxX+rBdLGd44SIC45VOVYVO7efoDpKSO71UQBaYtCZrkcH937e51CWJJNw8NnNaHGzD/A5BZx/2GBWoOX2K69oh3/lAZByeyPMEugEMAT0ZNW5imbwu/ejAbw+msG/3H9VL7OGv3J/ZfzPfuD+bNkPArNyH3JNCRX1sVcyTin4euU+Pva738ZHfv7+6vfX3+8PBrOvRjOQFfK/ez+awcd+5v79v+6+XpnJlmgC9yMjfAvbMkP92uOkbKV8LvP8n/kuvv6ac03+2mvK+g3bfZgVUJYIAm/Yv3G/oN9eGbxNUHw70QzU9ubnexDNQCIm/KFEM/jMt3BVyuJNohm88btv+x7Vdv/YV+/pByzfN92+90k8092Iy7/5xvv7t+3jt2SBVxtG117Eb335rY97sP3v/5s+s8OOSAzao7CQTYOTEY0BRzgGHaE0Jjbcqk3FhC0C3YYgGo4wLBEedmutWC3hQG7nwEYYu9bkw4c3uvDeuTrc7snDsI+AUUA4zdFgjYB6qzUDL/TlYrvMijF3DIZpyFo159HniiKESopIC2ZpyKYKbRjhgNzj1eBdY8243V8Db3wYIs6cRI7FDluSBhGnTsIVfgHrjVm41VGIDcLvVYKeLNbqMofAF3QCmmOPwXiWQHvhGNJCz6FSE4TdeiteHMujodKgj0A57JbkDw683F+Me61ZWCsxESb12CizqBBi01kJ6LGHYTxL/F6dGHTF0OhFEUAJuPZwdNIgS0D+rdoMZSzabZEc+A3YqnHzeCM2CLOSXnOCxnSpQpI+6LBKwzCfbea17DS2NPC5ZvQSaKcIrIMEXHl9Kaujx2kQ5fchfzJmSmi0CLM7TU7stjmxXKzHXFo8gZfXqpDXkRaWtQVzhPqprHgaWw3GadxniqxYqc/CMAFikvfTJUks0pNo8AkZfFbJrV7jSECTxM2lQa8hqLfTULekGVBpS0KpOQFZyZHIM8TBlxQGd1wwsmkIHREBsIUFwRAchIAjh1UoMlkodv6JYwg68wTOEXTPEcgiCIWm0ItIiwlGvTMO/RQx1wmBd0Z9+ODNBnzkqRZ86qdm8DsvDeODa1X48E4L7vakoyTpNEWHjXUjs3vR+InFPNxqN+FyvQmbxVpsFSfhJ/vTcZMQJJEyxKd6MkcgQa/8Y6+U0oB7ozFoDUUHxY0sLloslPieIVgvociiaOqk4OlxRqAy4SKyIs+q7GyGwNNIpFCKfOIoks+d4PPHoMoSgXpzMLrc8t14PNVqxntH0/ChyRLsFScTnAlL7mCs5cSoyAjixz2TR+FAETSSIe4piUqMjLDO6y1xaPGkoIzlmZUUDXNEOAJOnMCxw4Taxw9SBDysFooJsB565AgOPnRYAe0RAu3xQ8dwRHyfFcyKi4hERBD/5UN44uQphAWHIiUuFhW5PlRkumGOjcYTBOOHCbN+AtFonR07A2n4yautePdWNX5iKQuf+WAfPvUTExgqc8IdE4BCllWVPgB9WeH4nZcH8Y0/Jcx+7jq+8v/U4ut/PIOv/+UtfPcffwnf/frH8Z2v/BI+89PjuNNqxLVqE+42pfL5tbhZa8S7erzKD1zcAOQNxwKFncRKFl90OWbIHYkRH+ExnX3JGcz6ScBKCYUZAU8ifYz6YjHL78tCvSfZl27Vedlf2JfY1xqN7HcEMVkYJdm+SuPPoovj1mC6FmMiQgstGGK/EUitTQlVM7KS/nqA/WG+VBZYutlXCIKyF5uVf6y4O0gq3DHC7RTvYYjwNyxxrUvS2AcNKobsMEX7bI4ZmxVuAq+4O8ibHivGZREXQU5mZrsl8UIe+7uENeT5JNb1UJoOnV49Ks1x0AVwXDpzCH0ZRmw3ZWKO0Njuilcxq1VYLQFjmYnNtLHf29RCLIkjO5brQk86z58qM8wuXs+NGcLrFL8zx3tbzKcQyHOo6AqSDEGynd1oysfNpjxcqfMT6I3odMYTuBPRx/uqc0g71KCBz1Ri0cIUEgQfRWy5ieLdJy4bbj5LMu4Ol6nJhDmW31y+AyN+ScZgQDvLup9lIOA6kedSURAkeYQKU5ZtQUeGAc1e7Q8fzHJ7dWbu1ZBO3P4dzMr2duLMcvvGd/ABAq3y5eQxDU8Rkgi0PxDMEi5lFlLO5X/yW/jqK5+9MW7qRz79LUzy93/LTvUDwqxsbyPOrMD9V//XP6HnQbxaHrP9WwRa/v66+//fUhavP9f2r7whVuobtvsw+xb7qyD3dsrg+wBFiVlLiH9QZ+J3+hG5j7cBs1IWbzvO7L/77vdxj68c+7p7+gHK94d5e0uYXfBz4KVR2KDRmU6jkTEHoZ/G7XKZGc90+LFHCFjJTsSIPYiwG4nLTQ7sEByWC8zYrnThmZ5cvHumDc8NFuJyo4ODLI16ejimU6MxnR5P40RjQQCT2RZ5dbhG0O2wBRNaY6j+tWqVfoNF4hNKUPgkVOnCsFDtw0ZLAeKCzqkUmJrQEEQHXlSB6SNOHOEAn4zne0vwvsl63OzKxkxdGkEhFP6oC6g2SV5ySTep53UJr7YYrBMCPzxfhQ/OdGO5xIlhQqTEId0otxEAEwm859FuCsIQn3spOw7LmXFYJSTtVYsfrR+7lXY12ySRFNZrrNiodWKpmp8RGmtoOMu0F9FOQLramKEWk12tTsUiAV0yfF2u82EsR495XlcWsAzx3ifzaIxoPJdoVCVM0URWMhb4c52G+0YzYa0lg4ZLpwLIV/C8EwUpWKeIuFxuxs1ymYm246m2LFyv9bL8y7FV6cZkWhKGnaxLioGV+kzMV2YpA71MKBjOZB2w7KW8p3jNId6PxM5tJYi3EcSH/XEYJPg2WUJZL7Ho90Sj3R6CKYqWMQLibK0D1zpzsNHgVmksa6xJaCakNrG+WiQkEI3gQHkqgdhGY2lCEyGqPVWHQb8V9TSUGZcuoEp7Dm2OSxjNjcdWvQFX2u3Yk/aSl6BcMerM59FpDVK+rtLO1grjCUE8tlgWBsqiw0QaaIuayVvMiceIJwIDrkiMuqMwznIS/+kR8YMmOC/yGXqMwfxMg7lstgee7yZFz0SGBt7zbD/iP50Rj8n0RLVAr0obiAZbKJqsEh4tAHlxgbAGnETcyQMUT4Tb5AsYZHteL9XjHuvmqkQ0yI3DYkYUlrNiMU8hsVVhwU6tCxuVVixnx2CcEDzLMp1indfEHSOcxGOIML3EOpYUpE0sw/TECEQGSoSIQzh/9CBO86e4JBx99DAOPyyRCx5Tvsoye/tvLgb87ADBV2ZtDx7C0YOHER0cALcuHtbEGOjCwykwjuHAO96BZAq/5lwBWje2Rovx4kY9fvpaCz7907P4laeGkRz0BJIDzqDcGIEWXSCF2ll8+HYrvvLJp/GPn72Nr356Ad/50m187x9/Dt/7+kfxL3/7S/j99w8RmGJwrzkFL3c5sEnBupoVhyustxvVEqUjhWNJIsVsPMZSI7BKAfwk+8q1crbFXAo0CozVkhQlwCYyOT6wXUoq7VnW3yrHmsX8JIy4o7HMtjqbQ0gk/C6wfCWxwVoF+xWhdTIjiWNMHFbyUiiuvdipcLFu7Nis4e9t2ViuTsNMMT+rTsdohhnT2bLw0kPBYWS/s6rFaSuSYZD9ZLnMrfxwByRyAftPuT6GvxPcnAkESBGKMiOrUzGd1yq8GBV/WpmJJcAO8fNZ3o+Ix7XaNBVFQELCjfNc7dZYdBDsmihiYo8dQdThA+jJNOPWYDmutBSq843mm9FiS2BfSlQzpzNlqRgXoCVwzudLuCwnAdfOfkSBV52Ha02luNlaq2Z7B70Sj9aImUL27xwrWlwyA63HaKaTz+NUKW+7ee1acxTa7PHqjVIzRUB+bCAsHFeTLl1EwPHjiDp/FnEXn4Aj5BQGKG4X6jKx1VaAu91FeLK9BIuSPYzl0+aORytBt4sgPZJhx1Z1IRZLMikGLBTNbPONBejItKCBYP0/G2b3t/1tf/th3t4SZt89lktQslOBc/CzhaMmOQCdnkhMF3BwLZQwOBEqgkCHKRjlyWcJAjEYy0jABo3H9Zo0rBLMxmgk+txJCh5uV2lxt0aLK2VawplBDe5dxngat2Ss5Qp0xGImk4AhC0DSE9BgDEJtSiCcF47BGXIO6QkBNK4E4Vw7kgJOq5BFAceOqVSiZ48eRvDJQ6gyheDpbg/utPkwkq1FTmIsNKePwxociLT4UFQ5EjBbbCIY+ggfXtxucOBWg8RUJIDSAM7yPqczUzDoikUbjfhUjvip0ki5+KzuCMxm8j4JkJIdrZvgu15u5bW8uNfK5y2x4WZTFlbLCG7WOBpWLQFerxaO3W7Px5VaQrLMMtO4rOU7sMTfJ/OtGKcRnaTxmiZMblZ58HQrDUZTpgJZmSkaYRl3UjBca3TiZptkK7Nju1inVtlPZ2oJmXEUAvIa1IzFMhPudaThxf4MvNjjwu06O5ZyDFgpcWCrxo/JIi8kS5CkHR7id4f5HLLIZZjP3JtOeObP6xJ2rDwD/YTR7WobFglji2Vi6E2YK5E4kzw+x4ixbAPmi/S425OHtVKj8uOVeJ9LRVosyyKdehdudXqxzfterTThejthrz2dbcqJtWon4c6ObmM48qJOYYLgU6MLRkVSACqTz6ON9dgh4onlPuSPx93xfGyUaAirSRQSEhg+GgNp0Vhl+c/lanG1zop5wtCYLxIj3ki0s+144o6oxVwLeTo0ai6hxxHNOoxFXeJFFRd5zB+LBQKtpECuJDRIUgtT6Dl4g8+g387v+VlPFGvz2VH8PQxDtiAMU3xVJwbCcIagePQACjXBKIq+gH5nNNZYVwsZMfwO2wjvuY8APMWf11gH22zvK7z3O1UmXC3UsP6T2Q5iCBbhGGH7nyjRUdDEYr1Mj5k8E9o98agyx6JWVo+bIyjm4tHOa+doQ6ELDUDomWMIekLCpB3AMQo5yd526JFHIAvADjzO/x86rOD3yCOP4thjj+H04cM4R3C6ePIkjkvc4IMHcO7o4wg/dxy6MD5vuRc/frkPH3lmDE9PlEETeBLR5wgxfhNhneIyKwq3B/34hVs9eHYhHb/6XA0+/cEh/Omv7eCPf3YFdzp9mC9MoEiMYFuMpUBNIWQmqzreqGJ9s43PUxxOe8KwVRCHp9tS2ffcuF5lw+VKB55iu5DEH8vsWzJWrBaxvAoM2OLfrzawHTe7KWIoqmVRGMXZBn/fZVvcKTKyv2Thhe5CbOUbeP4ICuw4jj82XKOwFp/oxXwT4S0BnWyvXZlsC9YodLnFBYewzH6zXExRSehqcSShjgDZ6qPAyyeIFlsxwZ+dFL2SultmZydzOZ7xd3l7slDqIeTGY0JmZyvT2e4dmCFozpZ4MEhI7vIlYIQgPiHRFAi3WxVs8wTprVIn7vTmK7jOjg6Dl+PSJIVtj4S94v2NsD+2WtjnCbwS6aCN42efLBjLS2W7N6IhJY5iUwtJd9vDY0YJ2BI2cTxTrqlHFyG9yhSNCksM21AkKnURqDHGYrrQz3v1oyg+Bm4KFW/oeTTa4lEQHcg2mAof/x/y+CM4eeAxHD98BOefeILt5QQCCNtxZ44iPSkUldZ4FclBwnxNlUhoLzeGsuQNj0RzIOBn27DAMp0q8LC82L9fuZ9WnwFtvM99mN3f9rf97b9re0uYlTiwS5U0rkVJqNQGwhV0CinnjtDQHUNK0HFkxQegMDYAzdpgDBBsR3yEhUyCVYWRA7aFBluHIU8sxmi0l7OTVKrV0fQYDNjDCGeRBDgdrtQ4sEnjvlOaTPiNx3J+EnYrbTRmOjW7uF1iVSuG6wgLzvAzSDpzBMXxYQg/eRRHH38UJx59FMbIUERdOIcoQmutNQKXqyVnOgdpglEEDXjQkYMqdewFDsoRp4/AFnEe1dZIDsoJmCFgSCB3FX6J93GznvdOsHipOx9LhOqJjET0OqNQmnQGrfYI1JnCYQw4gpiTj8Nw/hCabRGERBue601TYcZ2ypzYooEVlwKJb7pQSMAsMCqfWUnosEAwls9H3YkYSiUsVbowlJGE9WrCKGFxwBuFW7Vu3OQ+KTO+5U5MF9FIlLNM6rwYLeQxfg0G0gnTbho0e7JKXLFR48VUnkGB3zbB8V6TBTeq5VrxKirEKgXGFI1xtTYMzdZY9NO4ymzscoUVoxnJWCz1YqM2FyvFBIvOPKzQUMtq6Jk8C4Zy9ZglNE7ma3kNChTew2ShG3t1ftYTIYVgO0fIWCvUE8b53ATtedbt1fpUVQ6j4qfoj8LVWvHpkzjAGlyp96iZ5jHem7SD3TYBbQGKWEwQint9Em80EZ2uBIK3VqWMnSJYDrOs1ggF4sfYSsgQf2OJliEZn8b47HN+1mU6RZGH5WuLxpA3Fp3OSJRqApXfYo0xErnxF1GiD0VxYgBB+iyN+Bn4IgIQc/oMEs+fgfHiKbbr86hNukC41BDo9VjLi1EuBD8+mKVmwbsIRNkE33ZvIuEiluAdy+e3YtAcjnFeb4XA36G9gDLtOTTZw9HFe51nmW+zjK6XpuByiRYTBO15trkF7qsiTgjXE+lxBNk4OGPPoEwfgkm2lV6C+2yxje3ArOpMfD0FQjoIEDW2ROTrYuFLjETixdNIIKRowwK4B6r/x7BPXDpC8D7P3/lcYWdPE4CP4oRkoXv4IZx67Etxrc8AAF/hSURBVBFcOnYYuoCzGCxJxU5nPprMcbAEn0bsuZNIjb6IdnckFgnjDaYIVBii0OyLwXgF77taXF7iMCqxYwn+89kpuNtJSG13qUyBrRQOY1kUiHlG3GrJZTtMJOwnEmxZ32zfS8UWtVC0zx2nFlje7fGzzbBuU+OwW2PFrUa2nzI7rjR5KRTFNSeJ9U0A5XUG03hPMvtaIaLQxHFDXHh4Pnc0hn28J4q0RvbVBkOYmk3PTwxFnTWBZZvEti8huigOrGHolrTbBPa+DBNFmgP9BF6JjTqRa8ACxx6ZeeyT/kZBKG8tet3x6m2K9Nk2RxS62Q+H2BbF77XVGYsWttcBgmV/jgk9fN7VGjvu9ORSzEmEAAJwoVNlmdsoMaLFFAZXwDloOHZ1Z7sxQhHTbAhEty0M9eynHS62f18yYZD3kGnmWOxV35/Jc6HDreM925R/66DEsBWXAWcCalk/RZowlGjD0eRJRj3bSROFWok2Em0eDf8ei+yoi6hk+68yh2KwyEbwTkOhXgP9pWAcp6ATn+ojFDsBJwMQfDZELeA89ugjOMfPYo4egy+S32db6GUZdaaKKwfLifA+Wch695vRZktGP0G2jxDbZg3HECF3gJDbn2Xah9n9bX/b3/7btreE2TF7MK7V6nG324O1ulQMZ7oRdfhxnHjox3DkHT+G0JMHEE9YbLPIqz4t7jV7MOoNJ7BGYtATgbUyPW4Q9JZp8FaztYRWk4JbMfRrAnr5KbhVZ8dmgQa7xUm4WUkAKtXicoWeQGvAJuFuOU+HvWobnmxy0fBFqgxbDcY4ZEZdQvSZkzh/+BDiLpxF2AlCavh5TMrsIQGuVheA+CcO4MKRx3Ga0Huc0CsDcugpeX12ktByFJ7wU+j3EhQItPMEiVV+b0kiAfgjFODK6+ZFgpZkQut2hBHUk9FkIhglB8NISMhLvKQyfY3xWYYzEwmULtykAd4p0mPSFYvFLC2/b1S+fUuEmKmcRMxKhine41IhDQEhZ7HAoGB3m8Z9Kl9iS4ZhgYZ4t5zQSkPfT+CVBRbbrfkYoUEtNIbAeOEEnATyJhqvVms8z6vFtGRJKjOrjFZyz1cIz9eLZDW/Qc12TRIEJEKChAnaqMnGbkMuQUp/P7oCIVxWSq9WZWGegLFV4Va+uc0UHLLqvDglGO0+QgDrsJkioC9dZnQNuNqQissNXsKpHgssAwmGL7P2S+UWGl0TgTUDNxrTVVamJcLQvIQW431N0MivldKgE9S3quwUQjGQ3PozuVp+T4tbvR5MFEgKzmS0OJMIJnoCpbzS1KIrTUcYIWQXSmYnjfKnlExNUyJK8iWWcQyFQiSmUnVo1YehQReMtIgzMAQ+gWoa/Ap7POyhp2APOwV3+DmKoxMwh5xFJ8/d6Dcih2Car4+FLlDayGH+PxAlhkuo0Z7FdEYUBU4Stlm/IwSw+uQg5We9Iq+nCfQ7ZTZMecSNJhxbOXGYcIaiMPoEyjQBBL4UPNtZiOsEYZnt3S1JwuVSEXNsHxUGXGtnWbKcVnJ0LBcrYUmy61GIVLmxXO3BXDFFRxrrkO10q0qP9UonNgn10pYkvvGSzCLmUqAQrGZLXRjOtyiRM8i9XQQB76/Jk4B6AnCxPQn55hjkEnzyDJEos0YTbsJRy3oWX+1aglSZNgKu6AA4WU61rkiCliQf4PNEnkG9KQjdqREYL0pkHURj0BZKwRqLSYrOq/UUpxUWNOkjkRN1QQnB6Wy2i6wE9gPWmz8RK/kmjBNym8zRSGfZ+wjO/qAzFDMiniRJS4zqK3PcNylsR9kPRyis28xhGOHv8xwTJJHCkvifEwA7KIDGKEZvE3pHKMzGCJ+9vBcRfL0uPo8+CnMlbopyOwbZ/lXsWPbvPj5Dhyua/UuDNmcyhglcy6VOrJV7lcvRXKGF4sGgYsDK25NRAuokwXKz2oV1isAuivQqwnKTPQq9FBiVHAskfXFuXAAyEwJQS6G7UG5keRjxnpVqXG71qf4kYQe7eN3C5ABkxAci25SA7jQDr2vHRoUsGiV0akNYzhTRySEYzDVhlX1pqcJDUSShvRyoNyei3pKMVnEhoKitY1m2uRPQaIlT/rUFhHdfLM+fGII2L8Wz+M/69Wixx3LMisBgphZtvP8O1vdCcR7cwZG4IGmT3/EIHn/kYfXW6yjhVcVFPsSfFD/BJ48hLTqIQCw+4xHI01xEvuYSGr0aTNRkYKoqHU28VrktCcWmeKQlhKsFYfPl6RjKskNCfe3D7P62v+1v/13bW8LsZk4kblal4AOz7XjXRDn26n1opHEyXzqFoAMH4KJCL6MxbLdEYZjgu1VAY5saiVkaCgFDifd6q9qE9fQILEniA8LZOg3blRI9mk2hyOdAvkyjdKPMiN3ceCxbgrGRFo53dfnwUl86XuhIw1aZAZdrzLjbaMatJhvGaFQlGsBcvlmtLE+hEYw+dgDmiydQkBSMhTILmpMvwnXuGC49/DBOP/wYTvwYB+cfewcB/CGcfuwxnD1AwH3kIQQfeATFBJLhXIJWUwYhLY7AEo0Zbyj6jUEYddIYZWuwUUJIIVj02qIIvTQ6xQ5M+Iw0OlqCB0Etj7DojsE6fy6mxWKHQLfq1xLadQRjPm+NExsETIkVu5Qrs9B27JS70WcNxzhhQ+L2zhbosFrhoMF3Y0FmSgmfO6VWjNPwTmcT8gmOe5UW1oEEkNdii2X4TIcXdxolc1iKCpM2TkMtIY52q2y4RgGww/u7VmLCVrGR0EroYVnKTOxurZ9lmkaxYeT5JHGAAas04us0SJIlaUFWd4v/pszEEq7qNMEYSkvGKCFBojiME2olIcSVlnSKB9aDNYYAkaIWtvV6Cay1XswQAiTr23qlmyAj/pDJhANCfjbr3haNlQo+T0M6IdVBQJNg+jTYhJlhlnOrIwIZCYEoM0WjwcH/E9g7CfXNlmiUE5Iknqa4OfTxHnpT49Ahi33EtzeDxtkVoUC8P9WANmssCuIuoFB7CZmEWifhNTclBvYLp6A//hg8wefgCr2IAsJbA9tml1+HKns0qu0xMAQfx8XHHoIu6ChMAceRdOIATBePwx1xVqULTY04B+3pEyg3hmJaUqZSpIzlsR5zJHtVKGYoiqYLktGov0TA0uJ2bz5udGRjjXW3XcL2wvvdKTfg/f1+PN3pw1M9mbhMYbdSrMGTXS60psciOzkU23XpLEc9BY8ZmxQeG0XxBN1otnMzrjS4MMH2tl3nVeGlJMOZpIMW39xVgt4EAXKB15vMTqCYoLCS6+YmULBQoFFkrjU6sd3INlcpkTF0BM0Y7LGPSazcWZ6rPCUElYZwtDsj8WSPh5/HY9gaipWiBIKjBduyN1CMUqSsU0yNU5RMSR8isA77YtSsssyqzvpZh5oL2KCQ2aZIk7cdTQQqCZE1QYE1kBaPyriLGCDEyvdkoeks24tEQ5nOolgj/M9S3EibmpW3HOyPkoFQMgsOs2xHxCfcFwdJVXy5wsV+RoFGAbRazTZN0N+odOFGi1/Njkos1UECXD+vJRnc2nitLvZrCfElfq7iQtBIEBtIo0Aroqjg/8UfVxZXDXsowHMIm3I9CRvG/lXBvtFoilAuCR0E+iIKl/yYs3BfPIZato1hXqeTP+/0Z2Krlu2E48Qc63KC7XdEFoUV2dCTxTGE9ylvESR97matuD1IYgY9+0I8etJ19+N8W5OwXM6+21ig4rZWUNR3ULSJ/+tABo/3pajZ2k6vju0+GMFsv0FHDkDHdl5jM6i6rE65BMlENklQb6A4KEm8SNgPQ258JLTBQTjx+CGVEOXoIUl4cggnj0h86eM4f/QQsnlcuTUKFexP5QkX4aOwyaEgqmZZlXAsLqQtSIsLhSn0PBLOnUDIkYPsxxxH8ym8GgvZBj3/KcwKyO7D7P62v+1vP8j2ljB7u1aHOw0m3G5x0AAn05gm43qjGJMUGgYHrhBabnXnYqnUhrrks2jTB2EsPQFreYnYzo7GlbJkvNRmwtM1GuwVaXCtzI3rPHY1R08YpEFLCVP+oAME5B3+fTc7DuOEpZWCFNxstuPZTjd2qiyYL0yh8YrDiC8KXc5wSGpdieMpYa+sMUFIjQvgAJ5IEKPhqbWrldIDNHLVhlgUa6Pg5WBuCTiFxCeOIensMRgCT0Fz9gnojp1AFv/Wm6rBFEFsOI0gS5jeLU/AlC8C3cZgQmw0Xmwh+OVosJibhBtVBAXC1wYN3SYh8X1D2Xh5qJgGyIsJgkRj0iUs++LxXJUHHxgpx/V6NxYLaXCcsVgm0C5lJuOF9my81FuEPULjbpGZUEOIIbhul7twtS4TK3w2SQs8YCMU0eAu8NpSBn32EIymRhFwowgecRQLDlxtlZSbEmRdwhxpMMOfGwTMNYL1LcLhLMt2g0B+k4LgarUZM4TUp1ln7xkqwEv9eWoB3FUa+Ss0+Cs0rIuE7HUa001C+vP9OXhnfxHvK5XwTCgo9+BKh58AkYh2gngfQXujORsDPpY3y3C53Kpeh1/tLsL1njIsFxFcCDIdhmDWWyQG+Owyo9udloKRXLOajd6osGM+z0QI0qlX1RN8dlnE1064GM4zo5dQIq9Lc5MuIj/yOJokfijLvs4WgkZ7KLo80ajRhqgUpW1sG71piRgqSEdRQjD8BE4XhVc5jfB0sRN5mlDUSiajlAiUa8MJBEko0VxCK59DzivpkxsdUSpRQpMnBrnJ55BniUBlmg7ZbKtmthV94FmYQs6jgADjib8AU/gTKCF0S/riOksoqiyBqLYEoc0VjiZ+V2ayJSXoUz2lFE06tVp/q0KDMv05TBEY79RYWU5GLLIO1ihgWo1hBHsN1glvt9im3jVaQUAzYZMiZDEvjsdEEW6TMEPBtF1JuC024BqhVtwUZDa8yyruPhSOFI3zFE6TBNr+V0JayazyKveb9TYlsAbYB6czY9RbkRcJ0M90+3C1kW2xJEmJyIlcLXar3bhaT2hOJ0DzupL5b9ofibmMCKwQTLcomuYJ10v5FHtW9hdeT94q7Em7p+DcqnIqMbrB9nuvneKr1Y1ucwTPI289xOfajEmKjxlC7Tr7wEqJle1AFoYmcFzg+OCLVO4Jkup6t8mH9Qonwd7C/m9Qbz0kvnOHLRJDBOlxtpsrHJe22aZv1FmxV8HzEw63yhy4RvG2V+HBbplT+bJ3mDmWUATNsE8usK2v1qVilOPJZJYR7fYEigJZ9CV+88GQbIG3WwtwuT4bSxzDuih8mih6alhXKxVerFf7VPgwca/ZbnKzjxBca3yYzpGwZDrlQvT8cDX7W60qT3mbMORlf3ZrVZSBUb8enTxnZSLbjYWCIMuG0TSzytI1mmfHeJ4TGaGnKNb4PKVe9FDMVeliUZoUiXY3xaFZsnzpKRYdWKlKJzhmodGWgOCDj6s3UkcefgRn+HvC2UNwBRxAOdvt9fpUPNWVxedNIrQbKGLyCcY2RBw7hrOPH8AThw7i5OOP49yRw7hw6AASLzyBnJRgtFE8VhFmx1gnLopDR2wwUkIDEHnqGGJPnUD0mRPw6ZIQfu4Mzh94HGFHD7NPsK4poJ8ezn9LmBUg3YfZ/W1/29/+K9tbwuwIDfFuQzquNqViykFDlZmkIhAMe6KwV2sh6KRxEI+n2j+DfleIWpjzbH8FbjTnELhiME1QvczjdqoIwLI4JteIibQk7JVZsFVuwxwH+836NA6mbvV6U9LNdprDMJbDwbVRUkrq0EEYK+Pg2268iDFvBHqsoYRqB6EuDsOuCLTReHe5YnkfWrVQbafaRGNN8CrhuQnOl2tTsVPDn9xnshNViJ+JLBrHIoua0RlNjcemzBiV6HCj2khDmITFrFhs5SVjRXxZaeyebskjuBowR9gY4LNP+eV1r5YAF4teQk8T77necAn9/F0WDi3xOa9UOfh8ErWAYMnnbScg9RGYhgg54gZwqzEDS9kmQgthnYZwIluPbnscpgnVVxrScKU1U0V1mJZrEl77UnluV6Ra4S0zW208Xz8hbIXwKG4Bq4SAe/VOXo//p/GeSk3GmDseE65E9LloIP0xhPF4BT5PtkkmJYmAYMQqy/h6lZvP7sa1Wg/uErR3+VOyii0Xa7FWalIRGySk2C4hty+Nz8znbiToD2doaERZ/9pQtFjCFLhKrFAJO7ZNsL3Oa+0RuBZYnhP+WEiO+zHCtsTy7E0jaBFQ5nmvvbzXxVIHoY8wQVDty05BG8Gyz6tBl09LeLVgiO2nkXVdrQskcIapWbW7XRl4qjVVpRvuIUxK6KVuQoG4R1TpLyGdMJsedhE5kRdUwo8ZQsSwzKBSHKzU+XFvoFa9wpdX8x3OeD5DNHpSE7DK57/em431Bg+GCfljNV6KpRhUJgWilnXUISGHCFL1FF7ZMcEY8eswnsX7ZL0Msn0NSFrcAgK5I5Zw46AQ0aFP7ssdgzFZkU/wG6BommB7lDbbxHvvtLKv5CZT4FDIEDw32V6f5POtVLswRVGwTvgc80djLjMaN5tYT63ZuNPsIyw6CMMpBOBkTMnsaK6ez8J2lGfECIGj1RSJ0fQktjHxY6bAIVBeJuhJjOKhVEKQJxJTaTF4rtWDvRq7SsqxznaxzP6wKwv4WrLUAq1RTwSWJIxWtRdz4kZDYbnNfn2rxYWdWoqqNsn7b8EAr1VnCFKLJq/wGSSZx61mp+pf91hXVylOl/jcW4TbvXI9xv2JhNZIjg2JhFmdEsrT/gSCup39m30tM175rgvsCvTLLLUselwvtGCC9y8pZ5tlQRfbgIDuWLoGfWw7Mvs6S0Eni/tWC0xK4N2j8LrT6MdKvoTEM6NCE4VmB9usfMeXjGZTGLpYZxIScI1CU843lBHDY9i2OVZJKLVxir0eCrIOtt/MuIuoJZj3s20MsTwmKAzmKnXY6UjH9fZMlqGB4xHPU2dXIcYkOUSPZChj3SwTqiXiwGC6mf3biKxL55ETFaAyi3U4dfATEp0RZ5FJoVZqiEZaYiiGi70YzLWhP1NmxYvRk2bl7w60uU1o9UhcW71K3zuSQdi1xCGcYHlYUiG/42EceewRnD14ACZeJyMiEG2E+Tn2s5kMjiH5yRyDWQasg7KUUBQmBsIfH4i02EAKuDPQB52BI+Q0ChIvYL6Y3+H4VaoLIbwegyc5BPqw89AEnoIu9DzCz55BJEE28hzBVhbe8rMqSywKU9i3MvX7MLu/7W/723/b9pYw266LxCYhZ7mQBlITiAYq7EZbLKo0QQoiZ9OjMOQIQUnkMZSGHcGwN5bG2U6ja0CXIZKG2YRFDtx9zhj1WnCThmCWBkkMfqs9HFXyeq7Kh7XabIzJTCsNYLMxnEBnoNHN4fkSUKQNguP0UdQnB2CYADtXKD5oLp4zHLMZsQTcWNTxmGFC1izBYC47DisCYgSDlVyNCqF1vdWLK7VGgl4yptPDsFGhxx5BZYaAJb6xo54w1CScRp8tiMAZrNwBZmlk12lExSVgiAO++HkuEQg6CZFtNJ49BFf5XGC7POEsSmNOo0F7Ca28f8lwNpSTDGvwE0gLPYWKpCAFcMOpiQRZDQ1wtJq1XCS4SUD5KYJsFyGww5WgsnPtNWZinn8rT7jEcyVgyJPEXYy5U/mKSta0dlcyGszxGKVhHs8zo9USiSHC8gbh5mpbOmZzjNgtsxPKDXiy0Y0dGlYJsbZRaMKNejduNtgxnh6PSfHr5bUkHNFOvVet/l4qMqvyHEmXV8WJaqZbYK2H8FCUeIYgHU4Yi1N1uUDR0E8AbKbImM+j2CkyoIaGrssdha0aB57tScM7Bzy43cz7qTYrEbNU7KDxT+L3WE5sFwOsw3EC5hyvU826rDSFIjP2LCE8iSJHg8EcAjCfsZpAWq4JwAwh6D0T+fjwXB6eq9Fgje1wMiMZ42w/fR7CAqF9sywZV2tYvgTubn5PXsFPsN2Np0VhtpCAU2nD80NVKoTcYFo8hUIcrxdHwEjAXqsbT/Vn4pn+LNweyMedfgI+4V9cPDYIbrudErbJhBcGKJSqCWwVJvXGYJR13pMeTqAOZXmmYIKQsFxG0ZMRBVv4cWTGn0e7ZNST9u8mBLEMl8uM6ObPVnsUOswhWKBoms4nLFKcSGrTFt5TF59NXmlP5iQQ2kMxwt83SiWVKwVToZ0iIVElZZhhP11i+YrP5RDbmsRJHU7nc/slZBJhtlBmQeMUOE5nEPbYxufEn5XPv04xMZ1rpVDSqgVYKwUERt7bPOuz1xqOKYoHiccr7g5zLOcFtgvxz27Uh7AtUKSwbwxSGHaz7RcmnFFtUZIh9BL0JljHLcmXsMq+Ky4wi+xX0xRBy/latHAcqdMTFrO1bGMJkOgSuwT6O63pbJdGFVptiMf22CLQnBLCPsh2TMG2lEu4dCRRNCdjLkuHXkLpXKZB+aJP+pNVfc5Ley+2sJ/r0U9hN54liQCSWRYyI+xkubEPsC9tVLrRSvj1JpyHOeQJlOjCVEzVVeWnrYFkhRukqOr2GSi0LKh3xKHGHI3chCC1mKooPgCjFIVtBNXO9ARsUIhP+iXrH9uAOwyTbBP9zhCV8rtWd1Fl/5Kwe7LAcijbijqzFiVJkcgmwPoItKZLp6E5fwKW4HPwJ4SiRBuBGkuSigGbEx/Oa8diuSIXFYlRaLKnUGCloCnNjBr+LKS4Ko2/hMliP8pcegRJ9rqHHsITRw7h5KOPIznwIgEzCMags8hN5tilCaXoisZqjRFTtXy+HD1mKr3oyTbyviKRz3Olx1xCvS0GtSLYc7XopJDPpQ2QBcDZugg44y7BHReEfFMMfNoY+PUxyEwORR7H936ZfafIkdTjOfFBbwqz3/jGN/5HwOzxpyv29/39h3pPfd8UvvCFL/zQ7v/V7S1httkUy8FchyZLNPxBp5HEgVF8UxvNMpNhQJshlFDJAZUGTYChJ1WDypRIwgEHsFwb1sQPstSGlpRLGHRG0/D71cxXbXIgSqn+fYkBaPbr1CxHB41vH41WjSZYLdwY4t5sCCdAy4phI+FRg057LKZpNLpoRAcJk6tiEHxxKsPXcGoUFvI0hNUYzOfEY6OchjcvhXCXhrVSQnRmEo9PwRzBYV1musps6v83a5xYI0C06oPRrL+EYho0WdghfoI9BA9ZrNHuikSrLpjXomGl4W6zx6DaFIYBQqiEzcmPC4Q77BwKEoP5t2isyIxjTpJaVJMRfhHuS+fQn52CrWqr8pUcldXWhIwxGkmZnawyhaOQYqHZnYAWGtshQsVKtRctFA6Nxkh0paXwHlLQ59Wj2Z5Mw6tDa2oKujKNLDu9ypUuWbwyEi+gm4Z7rsSJTmcCDTV/JzCIr2pXGp+FELJVLa4MHtxtkaxikrFNgIXlUelUcTlv1bpUaKSVIj3rzqiSOvS5YhUY9biT4QwlzBK8Jeas+M/OE5Jn8wgWNOLiDylh1TTnjsERdBjL5WYCYTrutllwvSpJ+Yg+WefF821ZNPSJ2CrV4najHbfrnLhSacGLfWkqEoMsBKvSh6qFX6qsCXoNBPqMuIsoTrqANcLsH9yowK/PefH+hjjcK6YxZp236ANZR1HYrtDimRYHXm514RqhbLmIIM767LKEUQiZsFNnVwvFtisJ1wSneQLUZgFBPJ1iLNfInYKiyoKb7akEKgsu19pxq8mBzRINluV1PoF/lO31+cEMPNOVjisE3ZH0aLbLUAJ1KKYKKN4K47HEc1TzOVrswQpi2hwRbBOBqKOQa3NHKvh852QFVlnmY2wf1ewXbcZYioEojBfynPlm9BIe29IFdgLQ6YpAY0qw8mXtoFgYIGhJCLghiseRfAuWCGXiyzxFmJ3ic4+KbzPBQ0IlSY79SdaTJJEY80ZijfW7JH6p7DMSt3WcYmuCkCfic0NcXyqtWCsz876SVLnNUQws8h4nHOx3PO9cpgalCRehP3eIdU1Qjzij/EFlFlqyW8ks5BSPGWG7uUFh2mURuNUoqGzj7/1O3jeBuprP0kdw3Klyq5l9iRl8uyEVayUSDzpZAXOvO473R6B3iKuOGddqZNEhhRTHF8kcOE5h1MW+ssrnW2B7lZnYXYqzeQGzTBPbaSJ6HAmoJGCJi4z4wfbzmmNZRrV4U0Lp9aclo8OXjBZPMsoJaAJvEyz7LorJBQrIRQqH8XwXhnPtaHAkqoWJ/ex/DSp8Wgzrg+OCKx5DBQRCf5Jyf5BU2sMOWdCZwOtFsv/Fo9cXjQ4Hn5mw38G2LZFFygiVjVb2fXsC6g3RKtSVJELodJowmutWIa56fCYCYRzqDDxvgRuL1SxTjgklcYTg+FAUpEQhk1BZa4hHeVI4/0YA57NLNj9jeABOHziEww89ioATJxEfdFGlZc6MjSCshsEbfAp12vMsj3j0pbJve+JVLN0SwnVdirjyaFHPsbeC42xLehyq+FwVFJwN7JdlHAfzOTbWEOR7KOa68+zIN8TyulFYbMnGXgeFOcfZYU8i70mzD7P7+/7+37jvwyxhVv55I8x2uJKQGxkEd+ATOPvow4gizAYdPEpoI0xm6NFkCCEE0jAb49BijOYgbkedVYOZAj8Nfa2CoVkaF8mQNZ2jwVq1G02eKPSlSxxZHSaLLRguonEwR6LBEIGRtHiMeuPQyQGylWA55I1BI+GwP91AMPBgJl+PDv0ZTPhi1OKoTZmh4XlnCBITnnCsyar2jCSMuEKwROiQRVUTNGjrBIPZ1CRM8dybhJfL5XYaZgknpSPYyeIZP240+XC3yY9JSRhAgMyPO69C93TaaNgI4/2OSAwRxCUl5hABoY0GttGeBHdoGEGUQG+lQXUm08hqcUVe+xKe1yts2KpNw1K5EzfaMrBdY8STzU4VL3b7lYxgy4UpNLb3V1UP0Xh2p+lo8AwoTQpBiS4IefFnabysmK/xo8pCyDNr0Z5mQbE+Br15VnTnmDCUZ8N0vh3LuRY1Wye+rb2su5UqFwE0VoUfarHGKBeRW20CjGaWCWGV93mj2Y3nCZH3mr3YLLNjrcKF3RqXetUsbiWrpeIGcX9x2jjLTGZKx2nc11mXA4S3BZ5jvcKCURrwlWKJw6lHFcE87dIJgq4RH1qvxEpFMnYbjXi604+bLGfxs7zeYMNetbhbmHGl1oznulKxV2ZQ8VeXsihs2GZktrXREAwTATrsxAH4gk+inOVxuVqPXx624uW6GNzwB+FyejB6E86inde9UmXCu0eycKdGh6drUvBOQuiLvZmoM9HQ8+8qskIp2xOhe5wAPuuPxmZxAnbKtNiq0ONqQwaBycT7cePXVouUP+cQDfEq29gsRc0UQejZoXI805GNm7UObBEKV3LjcEt8NCsNuFanx3adjs9IEMmIVaJqtUSL6/UErBq2d7bdPoqWVmsUpvINvB+J4WvCHUL/SoUBK2w/cxIKjW271R6nFibK7Ja0tzGWy6S8lvcSmtLZ3igySmOC1IKeCYpHyWq1rGYi74ewWuTv0/lG1g/LnO1nvZL1KuHD7JEq69Yy24MkFxDRKYsHpwl062yDy3kGSISLad7HNNtnmyEAq/y5Km1GfFfLXNigQGw0E841l9DJ5xnx8xyp8ZjxxaKPfbaLoHaV7ey53iyKJCfHgRTlT9tticAaQXSSgq4y8ixKYgLRz74piS02SswUo0mEHxvG/GbUUCzXanl+WxQFDq9dYEFJQrhaQCjRADar2OYLKMZYPj3uRFRoQlBhZF8i9O7xmne7c9ne0nC1MU1B8DjLZUyunW0hLNsxxfFinsJoneA+zb9PUbhcaU7HTq0PU3kW9sMk1FvC+Wwsjxw7ut0aNOijlMAf5rjSQ1DvT9Wilz8li1YX66FcFw5X0AlkR50jTCap6AndXi1FaBx6MgjGvFa59hw2mgns1R6OMdEYplhdr0nDoiwCY7msl9twtd5PoLViIs+p/F/LdZHQB56En4JuplgSJpjQbuMYZE7g+BOBPAJkHo/JSryExtQ4VLB9FetCUUphNFjgQpY2HucOH8YTBw7g3JFDOPXoIzBdOIcWwnGvPRHFwWcInBQTmYTqpHMYZnsbtERjjMJ10CM+5RxzezOwwP40UKhFQcxZgmwAajhGNvKYnb50PDeahXmOF8bA8wqiJ8s86EmLQ7PhElo5xjfxft8Is2J39mF2f9/f/8/s+zD7JjD7O7/zO5gtpEHOMaOXRs4fdhr++Eso0EaglQO4hIlqd0ahVQZ7H40LB09Jt9hk0WE8h8DWkItxmQWhwZWVy6NZNNIyA+JPJvTq+X2CVwMH8Fo/5kqsGKaRFjeBZcKBvF6coCHYqTRimgZ3tcyJFcki5UwkpMXSGNEQi88c4Up8SQd47CSNz1qZLLYyYoDHDGXIamOdWjG8UeUmmJkw6E4iwNDwOOKwWOIknFkIvATdItP95AkSAinTol7RjvO711o9ePdUPq40SbICNzYrBIBiVOB8yUzW6opBD0FH0l+OyuvINBpiWSRDYGnRBGCJhnar1MGy8OJOi4NAHYmXOej/2nYNXp4sJFDHYTY3QRm57jQCHJ+nwZGADm8K6sw0AoSWZo+GwE8ozbQhPSECWTRO7dk21NNAtkt+dcLvDP++Ue1VoaqG0/UEKB+2q32YY/1JIoP1EhPB2YyrtXYFFpMsL0kjOk1A2yVI3W1LxZasMs9KwTQ/v1Jnx2WC2mqJDpdrTJjLZnmkSxpWjYocIDN8V2n0ex3BaEwJwmalHVtVVpaRD9erCXisZ1n4IjOPEnJKFhzt8rz32vzYqffgNiHjxbECXG0T/0sN2jwUMqlR2C6kuKiQxAMJBBcKERr2HYqPpVyCZrlVLRDqc8ZjKi0Bz9Tr8FRlInbSw3E9JxojtlAs5Uvq1HTc4L1fLkrGLULq1fw4/GSvB8/3+DGTR0FVKhEDHBiW5BnyOtoWiPnUMMxkEbj5vb1al/ITXub1r8p9N6Uqd4rVAj1uVFoIuX68ZyQX99gmbtdSrPlj2F4IWzkJGM6gqPJLNIMYXK5PxQKfZzE/EdcbrWwLGkKTvEmQBVSy8MeKmRo7ik0RqNAFq1fp4vIh/s1jFGSyeKxNMjNZQtgW41m+JjzZ7sSddkkg4MRlQtEc4UzCVs3kCsxRBBTacaPGS7gmUBMMdynaBHzFB/RGfS4FWawC1kWC6kpuMmGWAMvrCkQ+35mJa3z21QIDtlUc3/uz4mOEfvG5nfRrMEFYFT92AVl5BlmAtU2RM5utx7Nd5RRJNkyxnWwVygyvnnVnwCoF6Djra5bnm+B1JcnKJkXPFH8usL9P85lHRCA6JJtXCmbTtaqPthP+xC1gKktmyilc2bclqoe0qwHC2gC/IzOI4hc8zDId55hSmhRFscXylUWEFF2zeQ7Mi8uFzOxSGA94YiggJOELRWS5m+ViVeGw5M3COK8jaWYlhvHlOo/yO5XMcx0UMBI5Y5KALbFkJbZsFwViGSG+mHubjDVZZnSlatDqSCSwJahZ3ZyEQNiCz8J45gTcl07DHXgGlrPH0MhxIyPkDJ8vFguE0kmKiyoK+VpCbTfLdyLXpETOuF98nB3o96QgOzoQlcYoFBGUdReOE1BD4bx0CpYzR+EKP6sSGsRfegJx548hnn/XhZxC6KnHEXXmEKxBZ9k2JPGCBr6YSzhJiD322KM4+shDCD1+FGVxkgwngnB6ETlRFITOcPSxbuqMYWoMns9LZp+w4xeuNeP3f2IaP79bj1stbFfucFQkB6CFwmiI9TTB+l2jeC9JCoXm7Clk81piG1p0F9BD4O12RFNQRyu7sg+z+/v+/t+z78PsKzD7la98RQ0yf/Inf6IGHQnuLz50Axxkex0yMF3kICszELHq9ft4ZjyBKBbLufFYKUgmJFjxQnsRtipSCQNOzGUZMJfK43wEPJmZyacxIpAs16VhmUZjjoZxiQPgVF4KjQ+BoDgFEu5Ksm5JvMWtKotaQLVZQYNTZCPkaVQQ/f7MFLQ5Y1GSEoJigkAPQXa+thizpWmYKzYr/70xeU3LvZv3O0zjJulX+zOSMUHAbCHMDmYbMEljMkFDv0jYmyWwLRNYJM+6pB/dqndgu96Oqy0Eof4s/Oq1NhUubKdE4uCK7+H9xXDbVTyO0C1hryQLlqw0H0iNxlR2EiSG6xSBXkBGXmVPEGY3iwjJdQR5fmeIIN7tiaVxoiAolKw9cTSeiaoMNiodanFSG41suTMZVQ4t8swJsMcFo9gSj1qCfQuN+HZLhkq8sETYGyEsDFJoLOTZsFVJo0xAl7ity5KAopFQXUc4q7aoGcl5HrNT6WXdEV5rCOplfIZy1gfhcZH3q3xBCcLiGrCUQwAqILxI6KlcCg4BpWoBWLsCFIkdK9+R1Ld7dS6VUne7xobtWit2anlulu8NWURIECnTXcJwFsuboL3d6MUeP+9xhLKc4pQP5RjhcEGuX27GFQLbk4RG9UqcdbNO0bPDulkjIA7aQrBHEbLCMiiJu0A40VFkyBuCCNxozsQSgXivMBF3awx4WTLC8TwDkpLZG03osxHQrRh0xKNDH0KASsDtjizs1qcRKuW1Ms9L6JVYp9OEPtn7bRHYZZk+2Z6hFtFdrrJhmnU7mZmIBlMI6o3BaLOG8vpBaGC7lPYvPrzjhNypPAJjMaGgkuXJMt1iu7jVkYZxPlMH6z8r7AyfIRiV8SHKz3IlN1Fl3NuttuIW2+DThP4na/W4VZVMgNbjxU4X1vPjed/RFG4R6HZGE7Li1avwdw8UsS9SCKTGYsARqWKzDhLwBDRn2Wclja4A5qyqUwOGPQRNedXO+h1i+xzwSsKCdIIWxQzbn2SgE8G3IIsuCcZzFJIrFIg7lWZsF0l6Wi322HaerEsnREoij0C2cbaDUh3hNFmlRK5g2YgbiviJrxUbscbn7reHYZz95Go9oVLcYQjHm7zmtJeCM1VeyxPsCK8DvmS0y1uFTApGmSGnCJgTQObxkja22RTO+45DuzkavRQ6Aqfz+Sa0WeLQqmf5EMjVTLaPYkwEs6ze53ggvtLTGSkUxSyXHCu2aly42uQhLPP5JN5vtZsigZArUEmQXigR32pZMBenfJbFFaqJAr7EHIImN++XMD3oN7IOCMKEW0nBXUJIrKAALSUwliWGoMEcBff5k/AEnIU34DQFixYtrhSYA5+Al1CaFnYe06UsR7a/dnMQBTjrkYDfZA1HL+Fd4ls7CMapEeeRnxCCTB7vDDpDaD4NIwHZHnYOnuggZPFvyScOwnjxNHLCL2Er302gT0J2VCBOH5AUyNwfeQTHH38UAccOIeIUYfj0McQdOYCkJw6p5DRpUeeQE38OUxSbi9yvUkDd68/FlVobJjlWj7GviR+6ivHM+xWRKy5h2XFBKoPaUoULOxwXpnnsuCOCYoKCmKJA7IrYF7EzYm/eDGYFUPcXgO1v+9v+9v1ur4PZL33pS6/CbFPieVSmnFGvB5cLCUqeSFTHnkVB2DE1k/Tu/gIaeBo7Pw1pYRINhBk3anyElRQUmGhIvVoaJQN6bDToWToeY8YCDcNSTaZ6TTfgIVjQcCgAJdDOVzho5POUr53MTknYJVH+UwSohVKbOm+LKUL5gzZbZMV6KOpprKcLaHzKbWoByrBfUq0SuOUcJTYM5dJg5xkwVWlHH412Dw2R5D2fKLBhjIOrLD6a4/klrqZEW1gpsdOA0WgXafHUQDbhzKlCZUm8THm+2ex4tDrD0EAjXUsD2uNJwma5CS/2+JUv5jKBVkKEjeYKvBswlJaIBcLYKKF/hmW0UqYjqBsI28molTTAKYRTQzTa0w0o0yerlJl1+ksoT76E3nQtmmmwSy0xqPGkoDXbhQqHnv9PQDGhrcYejclCGnkC+wwBfrM6FasEdPE3XCiUWWd5jW1Qr/SfbLRh3p+gYo7OEEgkjedeM0GYECgzsXtVJlyuIcQToAQ6tgnT8ywPCcskMUvlO8N2Al2FCQsUJUNp0awTggXrrp9lKEkzJrMS+XwUIASKNV5XwPnJNj/BmsKkxokqPqvp9BEUJYWrRSriqrBUakFF7EnCo5EwlMK6S0Z3GuGFAD4t5yRISlIIAfwbTXm8Hy82S1MwkxlHYUFRwL91sI3sNTqxyHqYK7bg+cE8LBCs1/JjcafVhuf6U/HOrlQMWgNRnXgOnZZYtBsIqqkUFNZozKYl4Fqtg8JNj0Z9JJb5TDtsL53mALXQcJrPPk2omSOwzPglZq5EDIilIDCr0E+ThEQVVoziRNIej7Adbla5lb9pry+KbTYQi+xD62xnOyV6PNnswu0Wt4oP/EKvB7frTHi2w4Ntlt2zrQTlCi3FAEEgPQZ7FBA3KCi2c/gsFTr81EgOXmhzYyUzBlOp4VikqLpc42AdOtVM8FxuEtb5U6JmtBG05giEIwRmyagncLxHESKv7estYah3RLNPabHEcpwliLZSVPQT0CUO6iT7xhZFzpqEW8uRJBWSJCCewMbzETYHKQzG/bF8xgSVrGOtyIxVWSDGNj6cGkHwTcBEWrKaOZUUyOsUpvKWQMJ27RB+xU9d3hhs8NpTPE78XHfK2eZYlrLKvtcdy7bhUrPCUubL7IOyqLTDGslzUlzzmcSFRnzPJykaZiiMhwjmK4TTeYmSUubCMAVfK+uz1xXD4wj/mYROivJF9pmb7QR2XnMkTWIve1Q0AzmHCNAFCuzlhjQVzm251Ie9hixcacxUfWqEY9Ac73OZ9TtO2BU/29ZUSTdro8g3oNEcixptlAo/N0wAl9lfSVU9zOdarDHz2Gg0EK6rLJJQIBkNhGInAbAlleBOGFbuC6kUAYYQrBRZlc/2sC+J4jgFI7xWD8V8h0Rr4O+yOLSDoD9EKG+mQG928j78rK/yNAzne9TiMPGdnfWb0JgcCk/oOYSfPEagPYgzh4/g4lHJBPcYzjx+ADEnTxBgAyk8onlv0cgjfNc77sdv7uF416gJQAvHJZkZH/bKIjozhaH4coeglmPRIMulK03D7ySizsHxXkL0taQqt5ktlusuxaHMOj+AWbEz+zC7v+1v+9v/ye0tYbZTy8ErVcLoGPFsZz7utuXRcJho6Gi4CK1zHPg3KmiYJOA64UxCBMkCDkkGIK+pxktchAsvZgiyks5WZnpvthZiqiIVnWlJaKKx7aXClxmOZg7Qw1kEGkLWGI1AnzuRhiYZAzSGHeKvynMMZWpRkxKqQhDNEnTqCZS+sDOEYhpOXxymc5IINtEEWK2C2SYOun00bNPlHkyWOdHP748QRMb5mfjpycrnZR47JYaXBmSJgLtQ5MAojeM8QfhGTzb3XDTLohxrnALMVpvMiJxEMctGXnOqVLWlBlyrIgDwnLv1qViscGFIXCmy9ZjmAL5UQuDj/XWlRdJgRaPXG4pi/RnkxZ9DVvRZlBKKO2lUB7Lt2Kr3o4tlIbFxC3URaCU8NNFY5RJoUzXh8MQGo4QGrJH1Iout+pwRNP5S9gbstfpxozMbG7Vu7Lam42ZvHpZZR5sVejzbl6FCbI1QCOzx/vZYf0s01uJTuUMQGnHFqlnwp9qyCKC5uMP6lvBBk6yDK80+NWM9xmvervVAMjhN0whfqcsicFgVuE35EjHujWOZ6gm1CbwncRVIIUymYYOAM5mRgLLY88iLOY/d9gw0ueNYDvEqzmiV9iImafDmZAaeEN1ij1K+di22CJRGn2HZSWQFLTbKMnGzOZMwZKa4YrkTuhby9eqV/uUGH6625uCZ4Xo8O1yJBYJxnzcCW4TvFwb8+LmpTNxrMKGbwCaxPFuS+bcyO9YlRJtEpKAh77LzfggeG9WErjIKifjD6LFfUrOvo54orBFGr5XqKV6sGBfgIjBK6KWnOnPx7oEC7BXoVXKMK1VW3OMzfmi6As92pavMeLdYxtusi7kswp6Xdccy2q6ShVRRuFljxLv6/LhLyL1JAXCtSsJCsS0S9uYoEGR1/5jtEpbYh+42OPFSpw8vtvCYXJYx72mP5fY8n32X9TdNYHuhJ1/NinZYQrGQbcBGsZXgLW9ZxM0mCVu1qewHBra5RIyx/e7U+/jMdnSxHER8tYuvJMF+gnU84KSwoyiS8FtTAnJ5RgK8zBxGEWgSKE4JjxVO7BJ8r1U7sckymM7QYLeKz0thIc8smf4ky1urKYTXZxuROmOb2SyzUrgmo98UzrYTz3tleWQnEjrZ9/n/HYmkwvrZYpuSftpji1GzqpJFTGYGx3l98Q2eI6jX2aQ9JbM+nXiq0c+yIYBTpCxSyK6yXCZ47NUGmQVOoUiJwALLZKfahbVKioqmNKzVeVR/HqIYXmtMxZS4IeW5CNU6dHE8E1eKbY5bV2rSMEK4nqLQW5W3OFVpKo1rT7oJrXZJkkGxa0qgEBBf3UysVXEMLDURMmOUm8suRfE6QXmF5Xmzn/21O5XXMaKH4mGmnNekMC2PDEQLIXHZn4JJlsOsvJHSBmPSnYArZfkURHbUJp5HXdJZNfM+zr4hYeXGsiQEYDwGUvV4fqiWQsPGsTUW1bImgWNJC8fUKmsiHCEXVfIQb/glWIMC4Q4Po1g2ossvkQecGM2xcKwk6OdbVRa+XvGHzmU/YdkM8F4k6oW4cbQRXNvc96Oq1HNMGkjXodaWgNTIc2iwRmC+mAKZZXxZstXxnmWmfR9m97f9bX/779reFGZ/93d/Fw2aMAJFKCR3/zgH805nIoo5yNbR6EtO+h5bNEEgXgGB+MzKwo9eRxjmc/k3XxLGCEpzWeJbR8PvDFKZdmRWoTM1gQNkMqaLJVNTLCTfvsClLKZYLPViqdxLaNYRZhMwSsPV646B5Oof5kAvC19m85NpdKPUrGyNnj8NAlGyaELyn2sIRjKTa+H1CT00Ntt1ORjzGznQx6goCeNZBg7IZn7uIYg5aGxNNN46fo+Gksa4i8Z1jmDbyOf0cWDWP3EQxcZI1NhjYbt0GmEHHuHfImkMUzGRRdDIoPFlObTqQ/h/LVYqPJji9+dKHBzADeghKPZ45J6T0GuNRhfPNc2Bv0oy6tBItRISJVXrFK+/RSCYzjHw/BFop3FvdserLGuZicGwh59GriYEk+XpmK7yYiJHoyBrkYZ7sdCK3gwTmlwEeMKv+PdJPFVJtiA+hSs08ndbSnC12oN7BN1rdSznfD6jKQKjkmihxIo1wv0Wf26Vu3GnOwc3WrIx5NaoleY3aYA3i+2EEBp4gnm9OwwLLMOVQosCR0m+IOC1IPF5Wa9rvO42AXtFZu4yCIKFOkzlJBDANXiKcDnG+s2JuYg6XSiKEs6hmeBVawzBsLg9tBVgkdeaZrsZ9MSgm2XR64pWbizr8vqf9ztCsSCvvueKbZgUoytxeFn24q4xlsdjWKfzORRRhOSXOtLxQoMZz7c71avmlZxkbFPUyCK4JR4/6pMyDiYA8djOAtySNL0UKCtZcQS3BLWgaoPX2SS0SfICaYv1lkjkx5zBDMFaZq43cglB/jjcq3PhRV7v6ZZUrLOdbrEsJOnBOoFrNU9W4vMeKLQ6PZHoSQ0ngEnGMgIjy0diCl8Rn11ep4p9TxY6iW92rTmYwi0CHeLyQ3HUmUlQp8ibEgFQZEKjI47H8fnZTwa9sexDNuzVUkSyT00SRuQ1/iCfUQkqCkOJnLBSk6pW48uCqCEf+12RUR0zlce+wP9vlXkwzTIe43fXykU4JGGG7UlmrTfKKGzYfmfzCTisx2725yEn+7EnTpXVdrlDpdmV9jRB6BwjIE9TjPZRdA6n6QjJ9+F2lnA8SIDs5+9zLHupB4k6MsnynaSA2Sg24mpdqvKrldTBU+wXyxQ/AubjadH8XjQhNV6V8WaJgWDLPswxYoNCd7dIj2vlLAcKFkluMuQKwRbrVCVacMey3YWjzRWHYY5rEo5qROI9UxyNSIi/Aj4by3WC/WpIRLUnkW3JzHqTWNMscz63ZOia5P1LFjPJODfJ8WexzIvNyiyew4gK9tdGU6RapCdrC3o5brXKmxS2VWn7SxK2UL3VYJmwnHvSDWhxxaPXHoeamAA0a8MxQ0gdtEt65kSOGdFoZpvoMlHY8Tv5ERTBsRdREndRJVvocojPtZ5lkoyK+Ai2h3hUpUi0gkA4Q86gLCFQZQkUkJfsXV0etleOjV0+A2oNst5Bhy22e8mCKH7CoxQPgyybagrtBmcSumR8Zp2IX/5Yjrg0mTDDPjGRZ1HxcpuMCRzr7CiMvQTbheO87gW0OqL5zGzn4tvMttvPcU7syj7M7m/72/7237EpmP3a176Gr371q/irv/orfPazn1WDzjQHdEldKj6E/QSxdg6YfWliiBNVVpwJGqk1WeHMwX8kVWZYOeCmhCkD1c1BVQKZS5zLmTwOfhw8xdVA4q32yav3EomzqlWzqTIrN8TzDtDIzZU5MV/iUgsK5vIJIzRK8hpxhAZ4QL5Lw7lIMJBwU1M0KiulGQQbG/ppKFfzkrBeoqdRkoEzQYUuWi1zEI4Jl5lmgmQsZKHIRoWLIOvj81nUa9bpAhp1GtMhgs6QxF7NMaLbnYSCmCBYA04i5eRRFCVHYJmg2UYD6qUhKaYxHMy0q6D+yzSa4scnqUur9cE0TITWVIIxYXG+wI75Ijs6aIDmCH8Tkqkni6CVbUKLk0baSmAnfFUTcGXRT7vMUGdq0cHn6afBHGKZyMIJMYZNFAqStGC5gs9U6SLIyGtdM3YJpts1fvQSFAazaSBpOOoJwJ1ucQUwElAIDTQkS9kWXK1NwxaBbInlLzPf/QSQxVIrd0KdP0EleLjbko/bLem4XJ9BY3t/gdt2iV3N8C2zLQxTiIxyXy/mfRDAxc9zo1xeqWogr/rXavg5QfY6wWyvWIfFzFjCjZ7nTcW1egdeaPdgj2UpQDAhM1wsvxFZBe+KwpWGDGzX+vlcLooCm/JXlVi3fd5IzLINjBMEJAD9bCm/Tzjs9+lQZ4pBtuacWkAzLuGZSlk2NLILPPZeqwPvG8nDzUojblYbMcvym0mNxDjhuJZCYiLTil2KjzW2dUkgcY3wM00glFf7zzS4CERmNRN8g2WxWurgNRKRkxiA/KRL8IWfImiGYEEWiBHSe0xBaiZqQ17NywIrQlWPRxYjajFKMHlhqJk/CX4CMGxn1drzaLWFYTxHy3Ydj2EKu50qO8WWFp0Emy7WjzXgqLqWM+wcrOEXkRR6FhEBJ2AgoORRWPb5DeggADVZotBki0QdYaWZsDZP0bLJfYFAJnGbJdKBLIqU2L4tsnjREaXcbEYJiPUUSBLMv5/9SxZ8rslsqCy4yjKy77OtyAJH1s0Izyuplyf5naEMPUYp1AS2awwhaEsJR59NImdEEcr1SqAOCnD6BGYoYnlvLYS5tUo/z2FQyVEmMinwKLS6JakH62qB4nOecDjDslkg2C+Iuw/HFokqUKYJ5rUiWNYSE9mObkuY8r2VBCTih3yrWtqnmWLKoITTZm4KptmX9njvEvptjWPGJtu2pL91XToB/dmj0Jw6BPOFI5B41wMcf2bYtucKKNxZl7MlRkyzXwwRjuc4FolIrZP+yTFtpSYN6xR4s6y3FkM46y0Z82yPizLWsI3ITGtVSgghMVy9dRryp1DAU+BTSLdQINfqQ9nW4wjUYajUhKPeGItaazxaOOY0yFsXcwyfN5TCn2MD+/M8IXmSY+h8iRMzRTa2mRj1el+y2Em5tEu5c+80SwQQEzpMiShLvIR6UzSKCLrGc8eRFnMBJSlB/Pwsqg2X2CasFDzphM0YZEWxHXPcmsrTchyWOoxQbh/DHPM73HFopaBu5H3J2FRCKE6Pv4QycXOioOugSJeQge02DcemFJQmh6M4JRLpkRfQwuet0LEcWBYSi1hCrYldEfsidkbsjdgdSWX7rW9963Uw+wBk92F2f9vf9re3u70pzH784x9XIZdk9mfhFaiVMFfiuzXDn+LrNklDvUnYlNSbozJzSkMtr4PFXWAozYAMDqDtTsmwo1eKvtOdiAG/Sfl3SSxKeUU+m6vF7QY/5jhozxBEJHj6CKGyxx2jfOMk3NM8zy/QM1vk5OeEVF+cmj2ZLyUE8Xy9HnnlFaOMi7x2FGBosUeoQbvaGIp2Golpws0ojeIiDdYiwXOm2IIOQnUrDXS3TyA9nvAbh9GsePTw/L2ZGgIpP+e91JkiUaOPIJTSsHpiCLOn1GpiB6Gi0hCKNnsklgmDEjdWZiHaee+dfL7lUpMKDXSjNQvj+RI7UodJ8aOjUarRi99rLLIlQkRCKMq0YWgjtLbyOcr0EmIojJBrVtnGlHEus2EyKw7LeRIgPwqlmksoNQejXBeqZuUkyPtIZpJ6lbpC4z7HchWhMF9EqCrTq9nSazU+3GrxE3ztrFODmimRUFqrNamYq3DyviOxUmm/PwtbacFSAcGm1I7ZQgPLPBYrJWbehwOXKQR2K9243eTDtTrClzcKS+IPXCr+l7wW243ElrzW4MTTLW4FEhKAf473s1QiM3SBBJ0Y5ed7q6MAt7tyKYCiVWzb3RoRDGHoIOAsEU5kkaBkyZrKTlAL7qT+5C2BCBSJRtHnkigBXuWTO0GAWSDczxdYMJ6hUwvU7rU6cafZBVlEdbveilUC5hzrecxLgcC2JNB7vdaNW7UOFdFhISsJ/eZQrOXE41qlCdcrzCos1ZMd6WzfSah1xqFAHwZX2ClkJ11EbsJZTBVQ2GUmIC/mNLpp3FsIbhW6i2glIGZEn4U7guAZdY7l7EZ1wmnUEyrGWK/ipzqcQXFGcTJA0ScCb4btRFxv+nmtborGsvggNNoTCSJRyEuORNyZEwg4dQwnH38Y8RdOoJYCc4HANk/46Cc0ecPPIy3+Isps8egliM5Ue9HooogrtKk3FSJMV1mf/WzbErR/rczFfsc+y7Y7lMPnZ7lervFQLNjQQqE2ThG4SjE2TRiZy5LIBhRT5Q6McAxotRLWCPClhPuq5FD0s/+WGoJQYQlFPYGonqDe4gyHxGuu0QUqISjh3Ya8STwPRRLHkjH2s760BJVRbo7PIJkCJc6xhNxbZvtYobiVPt7pSkRGxGnVJ6fYDmS8uV2VxnamRxv7ZD/Lb6vCzvadQUFBccJyHDBEYJEQusL+s8S2NcX2J32zm/Uucat7CWFdEqOZgq2B/bjByn7M9r1V68XlRh+e7CpnuXowU2BVr+r9cYFIjT6HFh6/STEmCRkkhNVGpQ0bFDFL/K64L3RTiDRSXJQlX1KJRibZj7p9yRiggM1PCID57HEUJRFmrXZkxkQi8fwTSJSwWwTPCgJpqTYCBfHBFK8aTJb40OBKRhnFc3c6hYs3hZBMkZBpRK0pFlW6CI5tNrQTgDsIr+MUtOPpEvEhWY0lNbzvcgrbUn04KtguOyjyp1g2u9U5HBucHO9kosCgojmMUOzIW49NeQvB9iKh8SRShixK7fJq2Gd1yo1BYuw2O2JVXN1u1qUkoZjg9zu8McqVQeJg11koQPPFvUJHMU6hbo1Vs8FiV94KZr/zne/8O5h9M5CVbR9m97f9bX974/bvYPZP//RP1aBzp8VDQ/DK62Ma+XECzSgBdJLgsZgeh918HaZoSLbyUhTYDhOGehwcULM4mFGdZ3Dg7+JAVk6j76NBt4acRVpMAAc9Qi3BsikpEP0cYNfznViX13Q0Zus0DEM852BqtPL/G/XFYFReUxI6JFSPLD4YkEGVhr6WwNhCeGw2haiYsGMZ8dijoR3lPXTYwyGZkZpoHLo5EK/QSC9wkF6tdKDeEIBaK42XI1L5DgoojxGi+3nNSUKMBA/fbHDQsEo6Vz22yw2YyZbkCbHQnT2mslONE0T6aFAncgzo5PW6HOEq6sMgjWqnzDTxp6T1HEwX1wb5PIkwH4cVGto+nssVE4Riczj8LKMqXQiWCMODEvbHEkFjSJihEWzmebt5T6tlKbjR5MC1WiMGnQQFTRDsAedYvucJCIm425OHFwezcavJhV1C60aBLMYzEjA1NLgazFIQbBJgr9V7sEpgkmgRssp+k2UtIZSWSn3YqitUqWA3CICTslCMcD/iSlAB9CczCUaOYIzyXgZYz4sUNxKDdpfnvNWeynYRjWFnJPYqzVghxN4jUDzdnoVbjR4825mh3BB6Wd59dkl5m0D4D0KzLRgthPF5wtUIBcg4DaksuuqT2L78vFUbiDHewyqvv0z42uAz3Ki1cme98P83eO4NQuAigf9uS7pa4DRGQBY3gIksA/YI9debUwneNgoADa6WGXCNkD1HA60yULFO1lgWN2s9KuTWgisMKzmJGHGEYZGwJCHB7raxvAq1KpOVRGlY47G9bIM1FEDliRfZBpJUFIW1UkKpN4ztMICQynPzeTopOHIizyGNcDkgbhys96d7c7AlsCztzse2nRaLTgLfSE6ymp2VGLjj/mSeS5IPpGCVsDRGEThTaFcB8MXXu49tv8qWBOuF0/DFBWGR4CUio8/JvkmIr7cmotFHqKdI6OK9luij4Aw6jQoT+wrbyhT7mDz3APuGzLiJYL3W6sW4LFgsMuIW6+sqP5MICZWGcOQkBRBa2RdlFj0zhW1TQuOxjVW4KVAp/gjlc1kWigyKiYwUVCaeJ9gSbim2qjTsl+yj4mvby/KQRZ3jhOJJmSEmCEl4r4msZBVebNAXSYFlfiV0WZJyxRDgHfTyGp4E9PL4YY4rklCj3xVOMRLDtkZhZAtHpzWCAiCJYjCKbZXtnWA+Ly4SqXwmmblmP6phnx32RGCM45b01xHWiWTUG0ml6OP9SUKKSoHf0jxcqcklTFP0pLPs+dwyU6o7fxxJ54+qeMfGoBOo47gyJG+dVOSE87zXJLUwcK/GxfFDh35xDbDzuVI1fEbCdLn41WpRlBwE3YVjKCZg5sRHIfLYSXgiA2G/xPEx+DRKjFEU0jK+JanFZaW8joai5cKRx5AWzT7j4DmigygiotDK+6qICUQTQXezwMuyYJ3yvOJKtSb1I+WcoVez912EzqEctq8SF6GYIE/BUMG+1sExR8aDCbZBmSSY8FMw5rC9cqyUhY3iBtHDshc3ga1yr3ItmmWfa6eAlxTNNcYQ9LK+JigYxiUiBgXISK4dSxV+gjLrnWO9rBsY8JvRw7YsdkXsy1vBrMDpPszub/vb/vaDbApmJT/2P/zDP+Cv//qv1WDzv/7X/8IqB7nrtWYsZNJQ2gKw4I+mcYjFdULMRhGNGw3Ks81peKbZi408Ggl3uJqhnMu2vBo2Z9QTh0lCXgUNRTeNmaQ6lZW984So8TRJYmBVs21rJTSqEkuU4DHH66wRxNYKkgm6MjOn58CoQycH0FkOjJOFbtQ5CLEEvj4aWIEHiYPaoA9Sq513S/QEIB2a3RGQTFXiq9pFgyi+pDNFXgJEDIY50IsLhLz62qiw4VqDRy1k2yjTYL2U1+W+nB+Pq40uwlMKB3AdevmdemMYZgg9K6Up6lX99dY0gnQ46njtNonRyGfs4DP3OuMI9uFotFzCIOF4okivsgJt1nnR7o0k3EqIHx5LY7JWLjCgxwDvfdIXjyVe6059mrr3as1FTLrDcK9Oj6daLITkOMyzTCT3fbc3Xs3iCKBsENpGMySeZhRmWH7jmXEYFncOQpksJpIV4hLDc4WiYKecgEdQmlavcBMIljGoN8usGaG3UlwykrBRauSeosIxyczwepkeI2kSvSHivnBIS8AzPblqpk/8LdVscLYs3JEZVgOu1qfj2eFyXG7zYYoAIgDZkhKIIfGRFl9ogqrMxo7xWiM0cnM5KZjPJuzw/NfKjRQy4mspUTIIWHUOLLEMlyk0dgiPN+ptuNnowG6Vle3TiecIYLdrTCpxwWWJykCofrLDiznek/hBC9yKke5JCcFU6n13lElnCHaq7y+Ou1KixRUa8xGKoqVcXpPXfpLC4NmuDIJXNMszllAVwbI0Y4LPuMrz32nPwEtD+bjDtr+Sl8C2ksjzWXG7OR17hEERU6WJQSiND0Nfuh47BHzJhy8znDO8l7udWXj3VBkW2FZ7CPbj/jjCcxqu1rrwZKsLOxUE0sxEvGeghHVlY/uNVW4/mxLNod6n+sFIthmjVS5IGt0BisJRgnRPgR1tXgt26/PR6tQgI+oiCuNC7me3Ili2u6LYnlm37G+jhPK9CradMhMkJvJaiY2fs62wTUyy7XTbY1GrCSUkEgLZNkRMDrFOxIdVUuDKTPom25Is5tqtTOMzJFHQxmCCZTwubyDK0zBIYG2mQJulaJR9TXyz2V6m0jTqrUM3y2mYbUZmqfsJ99McG6QtDFIojvP3TlsowTBSzVzLK3G5D3FxEWHVybFkis8l5TnBvjlGuBoW9yJC+gghstfD4wja4rs6TCiWlLjd7KcNEh6OY1u3+KOy/8vYM86y7iaA9mZI3FlJxJBMESahsTTIpuC8ePgxnDv4KE49/gjCjz6K4uRgLFe6sdXgV+A9zf41yP4ts79Xm3zYqPSyTNlGazIxX+JmOzdQnDj4bOxH7IeXO7Mxw7JucFIk+3WodsQij+2zTKLApOpRZ0qgyI1EuyMJLXaWk3xmSUAtYbc4/gLFRhTaORa1GaJ4XQ3et9yGmUwjShOCUZoUrBI5jOZZ0UoQlZlneUPWQXDvTDOils/dzj44QSgVv9wlis2pPAm1mKhm6VUcao5JM+yz9wUL64RtZox1IKnJx1gvg5kSGzsGtdYQNLCOpoqNFGUsU471sxRV4vc9LRMgPJdkW5zns3f7kpRdEfsidkbsjdgdgdF9mN3f9rf97b+6vQ5mZVD4sz/7M/ze7/0eNmk89wgM6yUpmOPgtUaIulrtwJUGWQ3NwZWqXPK0P9XixV1Cr6xal+DySzR6Ekx9mYOkzKBIsPUxGp1VQtUEDdgCB/w1CbkkoblkJS8NjbzKl6xPkgHqarkBNwgnO0U6XC42Y6+SMFNsRb2FA7g3GbNlbrR4E9DK31sdcQowZdWzvFqrNRO2xcexxqYAdK7MwoFYsgmFKZeAcl0wGs1xmClw0nhFosMWhlXC11aFWYWTutPlxU+M5+JKlQR+T1TxQG+0+XnfOgxxMBawvtEkqWBl0UwKdgT+aPC6HWGYyNUoP8+ZQn6XALdEaBrxxaCHANdJcJAQOzLzKaGeJtMlraYYvxRcbSA4tRNkKi0UELLYKAXbhIRBGpFGgvJYRiy2i5O5sx4EpEtk5kcW/dCI0Mjs1qQRnmOUn143DbakHh0nLJTHE2LscYQXu1rs9FSzE880EdpZHus04DcbvJCQV+Kb10EAaHdEop9AIDNJu9VO3OtyYblA0qEaCH12SAgzFeKI96yiHNSlEejd6KNwWa+wYoHPLFnFRmjkJOPbXmO6mnHud1EMERqajaGEEg0Nq8RFDcdIRqJyW5HFaTs8bouQI2GlbhOwFjOjCFpW3KHIeKbVjTtVrEcaRlmQNc92tlvNOibkvrM3jcfYsMNy2eG1Vws0PI+WYkmjzt9K49/BNjFNo93N8rlWYcSdaj2uszxvEXyvEpyfJri+3JqKW+Vm3G1wUKjpcKXGgZus91Ea+LUSA5rNwbzvMGyVE37rKbyaWWfdGQRrOwGboqbehafa/WoB1xjbeyMB0HLxOLyXThOGAlCQHATtmeNIOH4YmXEBhMt4PD+Uy/aWoWbSF3n/42wnkxRlaxQRO5UUEGyX68UmDLliWI+RWCizYpx1McN+KYujJMTUTKkJczzuOstpl9eW/jCQboSkuM1ICkENYWmzNQ/bFFGyqFJ8QHdqvBRkbKOZWuywvwqYjrijMe23Yq/Uh22KtH4eJ2Hi1tnvJC6xit7AttTniCHsEGpZh6MER4nNLLPxGyWSIIT3w/YrC5ymCXMDBNl6QyBFZjCmMgyEISPbRJaKkiFpZzdZ1yJgxOVjVto9y1yiDUyzrYxnaJUAkbi2mxQHs+wPlsDjatGWzBLO8HszBN7R1DhCaTT6KBKqzGHKp3UyXxazEUzZ3zoIc5UpoeoNTVG8iClCHGFMQgt2SGg9RyLbnEOF9aqzRKPeFqdSD7cYA3i/CYRjea0egwoeK4svrUGnkBp5nn0vSrkLLVf5WUYyRrH957PMBObkFX2eif2KZcVxpoEQmhcfREEfhoKEAJUGVkKgdTopFszst1bemzYUrvBz8MdxLGtuxEZ1MRqN0ahJkcgwUagwRsIbcwEZsRf4/VgVmkwAfr3cg+st2WwrJvb9GBTGXkRGxFnUOxPQSXgV96hafRQaTLHIjghCPs9fkRyKvMjTLAOWAyF3jGUoUUik3d+osapxSNqxRIvod/M5KZZvt2axjWrUmC5ZDucpFCWhzWS2zKwnUVCbuVsp2Dk+8fhdjhcSrm0sXaLGWNV6iFKKD7ErYl/EzrwWZsVf9gHM/meLv2Tbh9n9bX/b3964KZiVFaWSJ/vLX/4yPv/5z+OTn/wkLhNoBIpkhk9mL/doUCR9p/ilDhPg/JFn4Q09jWYOiDJTeJNw8HSzD/P8zggHanlVN+SMUmGz5FXgGI1bOw3OJAFvPo0DsikUOxz0ZKZHAps36C+hh4ZjmoPjFo31nUYfDb2VsKhXA/NAjhXzpR6M5hrUQp+RXDPabQnIDb2I4QwawTwCT2kWRmUFt8zYcrCfzKIRzdRBgp330YDJqlx5ZbtBI9DjikS7JUL5homBmyf8XidYvjyci6caHXwWD242unBNEgHwPuVeZ9MJ0xzUtwn41wnMT7VnqYQAY75w7PL5XxrIxvM92XiacHSlUnxMCeR1TgzSYKjZaA7+gyzPZl0owSCC4GJSPp3XKgzot1+kYQllecTiNp+9m8BemijpPHmPaXEqi9Yi4WpJQjLRqCwRgGQG+kqVCzOp0Sr8maRW3SIM3SUcS9zdehqQIYLqXjXBsMmKG9Um1lUiZvzx/D9htNii6njMn4jhzFg0GIPUYh1ZNb5ZSVCi6Bj0EOLzzJjPTYEsbFqkIZsgjC8VWbFamUooiKRh1fG6NhpVcQWJwqgvisBsIJRb0U+R0kaQrU4MxCjrsjyeBt0SplwpZDHUVJpAsBGjadEE8TjsFROw3BG4QgP9FMXU7Qo9bpZb2P4I4QQGefU/LuXNsnu6yaE+m1GzY6wbCi4J/zSXb1CLBXscsZjJkrJKJvxE4zLLZpXluyUzqYUEbhEwBPybFF/XCSXPsv6vKH9hAm9LloKSmUILmkxhKE88z/ojQLDeZaZ5iXUhALBB8bTJe7tJoN2tcmCKECYhpOR+uj1RSI84Df2FYzCHnMHZA4/hwpFDCD5xEJ6Y8xRkSWrGcop9QGa7N1lP0zy3hFuTTGct+hMYEncTltdcvon9IBkjPP8s60tcdMRtY4EiY7PEjOuNXp5LR8DQE7Zz1CKt/gwjpop8rC+JakBxyb4lrhsCaoMEUsmC1mwIQR3rsN/Fe0nXYYfnUj7yFDWrLEcRXhLrV1KS9rpl9s6iQk4tExqn5DWyvJ6WxWuE4PkcSbphw2ZtBp9D3kZEYNgdhkV/DG63+/DcQC7booNtPY73Y1ALPyXCwgbB/GqdW0XLEDEgWfgG2GenCdx7LN8+jh0hRx6DI+Q0+7pBLbIbZz+qk5Ta9gglknp4LkntK+4/4kogbyxkXOiSpAYE20ZDFMbZTraqKKoJ8KPy+pxtbzbXwr+nYDDbpVJKS3sepABbK07FrCyopHCU7Gyy8G2mwIJe1oEkgZmlsJXrjvL5JTHJorzBoaCTN0gdLNtOmQ3m+FOUHAL9+aPQXDiOsGMHEXn0EPwxlwiXgShPiUezTYsKbQzKtRGotFBUZpjQyj7nJ5T6OL5aA5+AJfgMUkLPIfHCaeSmUMj7jJiuSsOVziK8PNuClyfqsVadxXFOh2YrQbfAxfsUAW7g88Sp8IIdNgqmbBu6nInwhhwiLEcpmJ/2S0hFjpXspzMst6cofN49XMz60aBFF4RFtoGn2yT0G9tDAYWL+AqzTfTwOeXZJSPbZJ6RdaQhoMejjdfrciTRbrCPiP+6zDynhMERelLZFbEvYmfE3vxHkQzeCLKyP9jk99fCrJxvf9vf9rcf7e3fwewXv/hFfPrTn1Yr0sUnTdLSqrSoNOq36j24RsBb4v+9NM4Bh+W120GkhpxTs3I3Km3YzaOx4WAvLgPyqnQyXWZmOeh5I7GYx4FOfxpzmXEYSY3AejEhqECrskQN0hBJJqQuDqiygvpmtUctOJJsPxI6RgKKd9LANZgjOBCHEbzCeWwMemyxGOUxwxL/0qNRM7hdhGnxwZ3KoBHm/1t4XC/hQGabVioIfzyXrCjuMHEAJ8Ru10iYLT5nkRa71UasZsTimVYn3jmQSWD1qfz+PzmaR0j14W5HBu422LCaHYObDU4825OBtfwk3Kxz4KXerPuzf/z77VqbChD/0mABNirt3C0sIz3BkRBBAFkuNRBEYvFihwPbxfFYy4shtIYTAjWEZwPqdJfgCzmBLBqBAXc0NkuNKoXqqOcilrIjcKPBoI67yWvdaTBjxR9Gwy8RHRJVAoRRbyxqNBcoIMJV3bzQ5cTNGh3m/RFYzI5Xs5u32ty415KqVoZLPNC9Rjf6JfJErpUGWfziYtDM70sCCFmBP0pQlMVbPRQpsjJeUodKHOFFQsBetbxuduJKrZtl4SI48/nLjSomrIr2oA1GhyWSRpCgwfYhMWaH2S4kBu1yiR47NQ7cIPjfIOyssX62Ck1qEdAOgX1b2pQsViNU7RB8Bwh3l2uceL7bz/YkK7olu5cAubwSNUBCnE0SEheLCdz8/kZhIttZIkWKFZs5SViWWLiZBMGcBDzTlYH3DlXgcrEJNwi3N2vtLFsPNmrcSvzUsI3U6kNQpg1Cf1oydik03jtcijv1TsKXWaX+3WLd3mvPwb0uAka9nfVixTbFQB8BPfnkI0g6dwQJ507ixIEDBJIzOPhjD+HgO96Bi48/Cl/4BTTbJV0wQZzQNEHAFDjeYJ8Qt41eeS1sklf17FMUlBJDViB0r8rOeiMwEGy3y/hcLPu5fDPFHgVnoYMgx35V5SGM2NmuHbjVkqmiBSwQgOcyYtRCN3mzIgvxBjwUpLz+UgHLrkCn3A+usR4WCcaSvUtcSXrYHiSyxRzHAQlptkkxsUeRIS5H3ezTAthL2TqKC3mj48atpnTcbc3ENeWWpMVTXW682OfFbrFWiV2JBCDhpSSF71YZhUl7Bp5pScdsRrxaUCevuyUW9DqFbStFSfDhI9CdPa5iMs8WWpUbRDPHgE57FOHdj+UyD8eQFDXj2e+JxSzb5nZtqgrTttuQocpGwmkt8XwSO1jCiKnQYD4ZFyh2CuyYJHxVSppW4yUlxMUFYcQlmcSisMH2PE+An2B5iViazNEhN+EAQe2i8n3upjgeklBkBGblxkQQF1/eAoqWEq0kLTiLhGOH4YsKRqef/TPHglZ3MvKig1CTzHE2x4jLhMZV1lMNQVEWcDXxGa2XTkFz6gTiz56AJTIIhtAL0AaeV3Gn2yRMlrgvlDhxq6MMV5qK8VR/LV4YbcSL3J9sK6XIycEoxaak6B1Jl6Qs4bCffRRVSeF8DjvL2MK+z36aa+TYQEHD/n2NoupplX2PEC8pmzn+dNlEWIcroSvJEyTmsIRPFPeSebabbormMZ6jzZGACr2ETaRA8kmChSS0mKNQZ41RdkXsy2th9vtd/CXba2FWvr8Ps/vb/ra/KZgVJ3z5RfJl/8Vf/AX+6I/+SIVR+cVf/EW8733vw7ve9S4899xzuHfvHu7evYs7d+7gySefxO3bt9V+69at73u/efPm/r6/7+/7+/7+P2R/s3H6P9sf2ACxB2IXxD6InRB7IXZD7IfYEbEnYlfEvoidEXsjduf7iS/7YHvwmRwv3//bv/3bV/6yv+1v+9uP6qZgVtSt+C/9/d//Pf7mb/5GvQr61Kc+hd/6rd9SA9GHPvQhvP/978dP/uRP4j3veQ/e/e534+WXX37d/uM//uP7+/6+v+/v+/uPyP5GGyB2QeyD2AmxF2I3xH6IHRF7InZF7IvYGbE3Yne+XxeDB5t8JsfLrK5ERpBZ3v1tf9vffnS3V2H2gauBqGbJ0CKrTmUAEkX9G7/xG/jVX/1V/PIv/zI+8pGP4Bd+4RfU/vM///Ov2z/84Q/v7/v7/r6/7+//H9/fOPY/sAliH8ROiL0QuyH2Q+yI2BOxK2Jf3szFQMD0rWD2zTb5XI6V78r5vvCFL6jQXx/4wAfw3ve+VwH1/r6/7+8/WvuPiTqWVz4S909Us7y2+cu//Eu18lReDYmv0+///u+r0CqyywAlu+Ta/u3f/u0faP/Yxz62v+/v+/v+vr//D9nfbJx+O7vYgQc24YGNEHshdkPsh9gRsSdiV8S+PIgvK3bntVEMZH8jyMr+ZtuDv8l35VwCyQK0ki5XrvmZz3xG7X/4h3+4v+/v+/uPyP5jMqDIwCJqWaZqHwCtxAMUH6c///M/VwPS5z73OTVYyP7Hf/zHatB4q/3BYLK/7+/7+/6+v//w7282zj/YxR48sA1iJ8ReiN0Q+yF25AHIin0RO/MAZP8zF4P/aJO/y3fk+xLVQCBZZmnlOuJ6sL/v7/v7j9b+Ksw+cDeQQUHiAH7lK19Rg5D4OcmAJK+JRGE/2GVl6n+0i1Le3/f3/X1/399/uPc3G99fu7/WLoidEHshdkPsh9gRsSdiVx64F7zZrOz3C7OyPThOvi/nkl0AeX/f3/f3H739x2QAeDOgFRUtg5AQ7wOwfbBLOBQJVv2D7jLQ7e/7+/6+v+/v/zP2Nxun3+4u9uC19kHshdgNsR9iR94KZB/A7A8Csg+2N35PzrW/7+/7+4/ermD2gaJ9ALTy2kYGH1l1+uD1zYNdBih5lbO/7+/7+/6+v+/vsotdeK2dELsh9kPsiNiTByArduaNICv7a4H0v7K99jz7+/6+v/+o7P+K/x+KHAu8AgldFQAAAABJRU5ErkJggg==)" 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)" ] }, { @@ -75,20 +97,20 @@ }, "source": [ "We want to run the Google Cloud Vision API on a large set of images, and Apache Beam is the ideal tool to handle this workflow.\n", - "This example notebook demonstates how to retrieve image labels with this API on a small set of images.\n", + "This example demonstates how to retrieve image labels with this API on a small set of images.\n", "\n", - "The notebook follows these steps to implement this workflow:\n", + "The example follows these steps to implement this workflow:\n", "* Read the images.\n", "* Batch the images together to optimize the model call.\n", "* Send the images to an external API to run inference.\n", - "* Post-process the results of your API.\n", + "* Postprocess the results of your API.\n", "\n", "**Caution:** Be aware of API quotas and the heavy load you might incur on your external API. Verify that your pipeline and API are configured correctly for your use case.\n", "\n", "To optimize the calls to the external API, limit the parallel calls to the external remote API by configuring [PipelineOptions](https://beam.apache.org/documentation/programming-guide/#configuring-pipeline-options).\n", "In Apache Beam, different runners provide options to handle the parallelism, for example:\n", - "* With the [Direct Runner](https://beam.apache.org/documentation/runners/direct/), use `direct_num_workers`.\n", - "* With the [Google Cloud Dataflow Runner](https://beam.apache.org/documentation/runners/dataflow/), use `max_num_workers`.\n", + "* With the [Direct Runner](https://beam.apache.org/documentation/runners/direct/), use the `direct_num_workers` pipeline option.\n", + "* With the [Google Cloud Dataflow Runner](https://beam.apache.org/documentation/runners/dataflow/), use the `max_num_workers` pipeline option.\n", "\n", "For information about other runners, see the [Beam capability matrix](https://beam.apache.org/documentation/runners/capability-matrix/) " ] @@ -99,7 +121,7 @@ "id": "FAawWOaiIYaS" }, "source": [ - "## Installation\n", + "## Before you begin\n", "\n", "This section provides installation steps." ] @@ -170,9 +192,11 @@ "id": "mL4MaHm_XOVd" }, "source": [ - "## Remote inference on Cloud Vision API\n", + "## Run remote inference on Cloud Vision API\n", "\n", - "This section demonstates the steps to run remote inference on the Cloud Vision API." + "This section demonstates the steps to run remote inference on the Cloud Vision API.\n", + "\n", + "Download and install Apache Beam and the required modules." ] }, { @@ -199,7 +223,7 @@ "id": "09k08IYlLmON" }, "source": [ - "For this example, we use images from the [MSCoco dataset](https://cocodataset.org/#explore) as a list of image urls.\n", + "This example uses images from the [MSCoco dataset](https://cocodataset.org/#explore) as a list of image URLs.\n", "This data is used as the pipeline input." ] }, @@ -234,20 +258,20 @@ "id": "HLy7VKJhLrmT" }, "source": [ - "### Custom DoFn\n", + "### Create a custom DoFn\n", "\n", "In order to implement remote inference, create a DoFn class. This class sends a batch of images to the Cloud vision API.\n", "\n", "The custom DoFn makes it possible to initialize the API. In case of a custom model, a model can also be loaded in the `setup` function. \n", "\n", - "The `process` function is the most interesting part. In this function we implement the model call and return its results.\n", + "The `process` function is the most interesting part. In this function, we implement the model call and return its results.\n", "\n", - "**Caution:** When running remote inference, prepare to encounter, identify, and handle failure as gracefully as possible. We recommend using the following techniques: \n", + "When running remote inference, prepare to encounter, identify, and handle failure as gracefully as possible. We recommend using the following techniques: \n", "\n", "* **Exponential backoff:** Retry failed remote calls with exponentially growing pauses between retries. Using exponential backoff ensures that failures don't lead to an overwhelming number of retries in quick succession. \n", "\n", - "* **Dead letter queues:** Route failed inferences to a separate `PCollection` without failing the whole transform. You can continue execution without failing the job (batch jobs' default behavior) or retrying indefinitely (streaming jobs' default behavior).\n", - "You can then run custom pipeline logic on the deadletter queue to log the failure, alert, and push the failed message to temporary storage so that it can eventually be reprocessed. " + "* **Dead-letter queues:** Route failed inferences to a separate `PCollection` without failing the whole transform. You can continue execution without failing the job (batch jobs' default behavior) or retrying indefinitely (streaming jobs' default behavior).\n", + "You can then run custom pipeline logic on the dead-letter queue (unprocessed messages queue) to log the failure, alert, and push the failed message to temporary storage so that it can eventually be reprocessed." ] }, { @@ -277,7 +301,7 @@ " image_requests = [vision.AnnotateImageRequest(image=image, features=[feature]) for image in images]\n", " batch_image_request = vision.BatchAnnotateImagesRequest(requests=image_requests)\n", "\n", - " # Send batch request to the remote endpoint.\n", + " # Send the batch request to the remote endpoint.\n", " responses = self._client.batch_annotate_images(request=batch_image_request).responses\n", " \n", " return list(zip(image_urls, responses))\n" @@ -289,7 +313,7 @@ "id": "lHJuyHhvL0-a" }, "source": [ - "### Batching\n", + "### Manage batching\n", "\n", "Before we can chain together the pipeline steps, we need to understand batching.\n", "When running inference with your model, either in Apache Beam or in an external API, you can batch your input to increase the efficiency of the model execution.\n", @@ -297,7 +321,7 @@ "\n", "To manage the batching in this pipeline, include a `BatchElements` transform to group elements together and form a batch of the desired size.\n", "\n", - "* If you have a streaming pipeline, consider using [GroupIntoBatches](https://beam.apache.org/documentation/transforms/python/aggregation/groupintobatches/)\n", + "* If you have a streaming pipeline, consider using [GroupIntoBatches](https://beam.apache.org/documentation/transforms/python/aggregation/groupintobatches/),\n", "because `BatchElements` doesn't batch items across bundles. `GroupIntoBatches` requires choosing a key within which items are batched.\n", "\n", "* When batching, make sure that the input batch matches the maximum payload of the external API. \n", @@ -619,7 +643,7 @@ "id": "7gwn5bF1XaDm" }, "source": [ - "### Metrics\n", + "## Monitor the pipeline\n", "\n", "Because monitoring can provide insight into the status and health of the application, consider monitoring and measuring pipeline performance.\n", "For information about the available tracking metrics, see [RunInference Metrics](https://beam.apache.org/documentation/ml/runinference-metrics/)." @@ -638,10 +662,17 @@ }, "kernelspec": { "display_name": "Python 3", + "language": "python", "name": "python3" }, "language_info": { - "name": "python" + "name": "python", + "version": "3.10.7 (main, Dec 7 2022, 13:34:16) [Clang 14.0.0 (clang-1400.0.29.102)]" + }, + "vscode": { + "interpreter": { + "hash": "40c55305dca37c951f6b497e2e996ca59c449c4502b9f8a4515c118ec923845d" + } } }, "nbformat": 4, diff --git a/examples/notebooks/beam-ml/dataframe_api_preprocessing.ipynb b/examples/notebooks/beam-ml/dataframe_api_preprocessing.ipynb index 645d62d32be3..a488caf7d3ac 100644 --- a/examples/notebooks/beam-ml/dataframe_api_preprocessing.ipynb +++ b/examples/notebooks/beam-ml/dataframe_api_preprocessing.ipynb @@ -36,31 +36,41 @@ "\n", "[Pandas DataFrames](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html) is one of the most common tools used for data exploration and preprocessing. Pandas is popular because of its ease of use. It has intuitive methods to perform common analytical tasks and data preprocessing. \n", "\n", + "\n", + " \n", + " \n", + "
\n", + " Run in Google Colab\n", + " \n", + " View source on GitHub\n", + "
\n" + ], + "metadata": { + "id": "A8xNRyZMW1yK" + } + }, + { + "cell_type": "markdown", + "source": [ "For rapid execution, Pandas loads all of the data into memory on a single machine (one node). This configuration works well when dealing with small-scale datasets. However, many projects involve datasets that are too big to fit in memory. These use cases generally require parallel data processing frameworks, such as Apache Beam.\n", "\n", - "\n", - "## Apache Beam DataFrames\n", - "\n", - "\n", - "Beam DataFrames provide a pandas-like\n", + "Beam DataFrames provide a Pandas-like\n", "API to declare and define Beam processing pipelines. It provides a familiar interface for machine learning practioners to build complex data-processing pipelines by only invoking standard pandas commands.\n", "\n", "To learn more about Apache Beam DataFrames, see the\n", "[Beam DataFrames overview](https://beam.apache.org/documentation/dsls/dataframes/overview) page.\n", "\n", - "## Goal\n", - "The goal of this notebook is to explore a dataset preprocessed with the Beam DataFrame API for machine learning model training.\n", + "## Overview\n", + "The goal of this example is to explore a dataset preprocessed with the Beam DataFrame API for machine learning model training.\n", "\n", - "\n", - "## Tutorial outline\n", - "\n", - "This notebook demonstrates the use of the Apache Beam DataFrames API to perform common data exploration as well as the preprocessing steps that are necessary to prepare your dataset for machine learning model training and inference. These steps include the following: \n", + "This example demonstrates the use of the Apache Beam DataFrames API to perform common data exploration as well as the preprocessing steps that are necessary to prepare your dataset for machine learning model training and inference. This example includes the following steps: \n", "\n", "* Removing unwanted columns.\n", "* One-hot encoding categorical columns.\n", "* Normalizing numerical columns.\n", "\n", - "\n" + "In this example, the first section demonstrates how to build and execute a pipeline locally using the interactive runner.\n", + "The second section uses a distributed runner to demonstrate how to run the pipeline on the full dataset.\n" ], "metadata": { "id": "iFZC1inKuUCy" @@ -69,9 +79,9 @@ { "cell_type": "markdown", "source": [ - "## Installation\n", + "## Install Apache Beam\n", "\n", - "To explore the elements within a `PCollection`, install Apache Beam with the `interactive` component to use the Interactive runner. The latest implemented DataFrames API methods invoked in this notebook are available in Apache Beam SDK versions 2.43 and later.\n" + "To explore the elements within a `PCollection`, install Apache Beam with the `interactive` component to use the Interactive runner. The DataFrames API methods invoked in this example are available in Apache Beam SDK versions 2.43 and later.\n" ], "metadata": { "id": "A0f2HJ22D4lt" @@ -105,8 +115,8 @@ { "cell_type": "markdown", "source": [ - "## Part I : Local exploration with the Interactive Beam runner\n", - "Start by using the [Interactive Beam](https://beam.apache.org/releases/pydoc/2.20.0/apache_beam.runners.interactive.interactive_beam.html) to explore and develop your pipeline.\n", + "## Local exploration with the Interactive Beam runner\n", + "Use the [Interactive Beam](https://beam.apache.org/releases/pydoc/2.20.0/apache_beam.runners.interactive.interactive_beam.html) runner to explore and develop your pipeline.\n", "This runner allows you to test the code interactively, progressively building out the pipeline before deploying it on a distributed runner. \n", "\n", "\n", @@ -124,12 +134,12 @@ "source": [ "### Load the data\n", "\n", - "To read CSV files into Dataframes, Pandas has the\n", + "To read CSV files into DataFrames, Pandas has the\n", "[`pandas.read_csv`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_csv.html)\n", "function.\n", "This notebook uses the Beam\n", "[`beam.dataframe.io.read_csv`](https://beam.apache.org/releases/pydoc/current/apache_beam.dataframe.io.html#apache_beam.dataframe.io.read_csv)\n", - "function, which emulates `pandas.read_csv`. The main difference is that the Beam function returns a deferred Beam DataFrame whereas the Pandas function returns a standard DataFrame.\n" + "function, which emulates `pandas.read_csv`. The main difference is that the Beam function returns a deferred Beam DataFrame, whereas the Pandas function returns a standard DataFrame.\n" ] }, { @@ -170,8 +180,8 @@ "### Preprocess the data\n", "\n", "This example uses the [NASA - Nearest Earth Objects dataset](https://cneos.jpl.nasa.gov/ca/).\n", - "This dataset includes information about objects in the outer space. Some objects are close enough to Earth to cause harm.\n", - "Therefore, this dataset compiles the list of NASA certified asteroids that are classified as the nearest earth objects to understand which objects pose a risk." + "This dataset includes information about objects in outer space. Some objects are close enough to Earth to cause harm.\n", + "This dataset compiles the list of NASA certified asteroids that are classified as the nearest earth objects to understand which objects pose a risk." ] }, { @@ -673,7 +683,7 @@ { "cell_type": "markdown", "source": [ - "Use the standard pandas command `DataFrame.describe()` to generate descriptive statistics for the numerical columns like percentile, mean, std, and so on. " + "Use the standard pandas command `DataFrame.describe()` to generate descriptive statistics for the numerical columns, such as percentile, mean, std, and so on. " ], "metadata": { "id": "MGAErO0lAYws" @@ -1006,16 +1016,16 @@ "source": [ "Before running any transformations, verify that all of the columns need to be used for model training. Start by looking at the column description provided by the [JPL website](https://ssd.jpl.nasa.gov/sbdb_query.cgi):\n", "\n", - "* **spk_id:** Object primary SPK-ID\n", - "* **full_name:** Asteroid name\n", - "* **near_earth_object:** Near-earth object flag\n", + "* **spk_id:** Object primary SPK-ID.\n", + "* **full_name:** Asteroid name.\n", + "* **near_earth_object:** Near-earth object flag.\n", "* **absolute_magnitude:** The apparent magnitude an object would have if it were located at a distance of 10 parsecs.\n", "* **diameter:** Object diameter (from equivalent sphere) km unit.\n", - "* **albedo:** A measure of the diffuse reflection of solar radiation out of the total solar radiation and measured on a scale from 0 to 1.\n", + "* **albedo:** A measure of the diffuse reflection of solar radiation out of the total solar radiation, measured on a scale from 0 to 1.\n", "* **diameter_sigma:** 1-sigma uncertainty in object diameter km unit.\n", - "* **eccentricity:** A value between 0 and 1 that refers to how flat or round the asteroid is \n", - "* **inclination:** The angle with respect to the x-y ecliptic plane\n", - "* **moid_ld:** Earth Minimum Orbit Intersection Distance au unit\n", + "* **eccentricity:** A value between 0 and 1 that refers to how flat or round the asteroid is.\n", + "* **inclination:** The angle with respect to the x-y ecliptic plane.\n", + "* **moid_ld:** Earth Minimum Orbit Intersection Distance au unit.\n", "* **object_class:** The classification of the asteroid. For a more detailed description, see [NASA object classifications](https://pdssbn.astro.umd.edu/data_other/objclass.shtml).\n", "* **Semi-major axis au Unit:** The length of half of the long axis in AU unit.\n", "* **hazardous_flag:** Identifies hazardous asteroids." @@ -1027,7 +1037,7 @@ "id": "DzYVKbwTp72d" }, "source": [ - "The **'spk_id'** and **'full_name'** columns are unique for each row. You can remove these columns, because they are not needed for model training." + "The **spk_id** and **full_name** columns are unique for each row. You can remove these columns, because they are not needed for model training." ] }, { @@ -1153,7 +1163,7 @@ "id": "00MRdFGLwQiD" }, "source": [ - "Most of the columns do not have missing values. However, the columns **'diameter'**, **'albedo'** and **'diameter_sigma'** have many missing values. Because these values cannot be measured or derived and aren't needed for training the ML model, remove the columns." + "Most of the columns do not have missing values. However, the columns **diameter**, **albedo**, and **diameter_sigma** have many missing values. Because these values cannot be measured or derived and aren't needed for training the ML model, remove the columns." ] }, { @@ -1511,7 +1521,7 @@ "id": "a3PojL3WBqgE" }, "source": [ - "Next, normalize the numerical columns so that they can be used to train a model. To standarize the data, you can subtract the mean and divide by the standard deviation. This process is also known as finding the [z-score](https://developers.google.com/machine-learning/data-prep/transform/normalization#z-score).\n", + "Normalize the numerical columns so that they can be used to train a model. To standarize the data, you can subtract the mean and divide by the standard deviation. This process is also known as finding the [z-score](https://developers.google.com/machine-learning/data-prep/transform/normalization#z-score).\n", "This step improves the performance and training stability of the model during training and inference.\n" ] }, @@ -1859,7 +1869,7 @@ "id": "qdNILsajFvex" }, "source": [ - "Convert the categorical columns into one-hot encoded variables to use them during training.\n" + "Next, convert the categorical columns into one-hot encoded variables to use during training.\n" ] }, { @@ -2596,7 +2606,7 @@ "\n", "This section combines the previous steps into a full pipeline implementation, and then visualizes the preprocessed data.\n", "\n", - "Note that the only standard Apache Beam method invoked here is the `pipeline` instance. The rest of the preprocessing commands are based on native Pandas methods that are integrated with the Apache Beam DataFrame API." + "Note that the only standard Apache Beam method invoked here is the `pipeline` instance. The rest of the preprocessing commands are based on native pandas methods that are integrated with the Apache Beam DataFrame API." ] }, { @@ -3339,7 +3349,7 @@ "id": "xZvJTqa3XKI_" }, "source": [ - "## Part II : Process the full dataset with the distributed runner\n", + "## Process the full dataset with the distributed runner\n", "The previous section demonstrates how to build and execute the pipeline locally using the interactive runner.\n", "This section demonstrates how to run the pipeline on the full dataset by switching to a distributed runner. For this example, the pipeline runs on [Dataflow](https://cloud.google.com/dataflow/docs/guides/deploying-a-pipeline)." ] @@ -3361,7 +3371,7 @@ { "cell_type": "markdown", "source": [ - "These steps process the full dataset, `full.csv`, which contains approximately one million rows. To materialize the deferred dataframe, these steps also write the results to a CSV file instead of using `ib.collect()`.\n", + "These steps process the full dataset, `full.csv`, which contains approximately one million rows. To materialize the deferred DataFrame, these steps also write the results to a CSV file instead of using `ib.collect()`.\n", "\n", "To switch from an interactive runner to a distributed runner, update the pipeline options. The rest of the pipeline steps don't change." ], @@ -3437,7 +3447,7 @@ { "cell_type": "markdown", "source": [ - "Wait while the the pipeline job runs." + "Wait while the pipeline job runs." ], "metadata": { "id": "dzdqmzKzTOng" @@ -3450,12 +3460,10 @@ "\n", "This tutorial demonstrated how to analyze and preprocess a large-scale dataset with the Apache Beam DataFrames API. You can now train a model on a classification task using the preprocessed dataset.\n", "\n", - "To learn more about how to get started with classifying structured data, see:\n", - "\n", - "* [Structred data classification from scratch](https://keras.io/examples/structured_data/structured_data_classification_from_scratch/)\n", + "To learn more about how to get started with classifying structured data, see \n", + "[Structured data classification from scratch](https://keras.io/examples/structured_data/structured_data_classification_from_scratch/).\n", "\n", - "To continue learning, find another dataset to use with the Apache Beam DataFrames API processing. Think carefully about which features to include in your model and how to represent them.\n", - "\n" + "To continue learning, find another dataset to use with the Apache Beam DataFrames API processing. Think carefully about which features to include in your model and how to represent them.\n" ], "metadata": { "id": "UOLr6YgOOSVQ" @@ -3466,11 +3474,11 @@ "source": [ "## Resources\n", "\n", - "* [Beam DataFrames overview](https://beam.apache.org/documentation/dsls/dataframes/overview) -- An overview of the Apache Beam DataFrames API.\n", - "* [Differences from pandas](https://beam.apache.org/documentation/dsls/dataframes/differences-from-pandas) -- Reviews the differences between Apache Beam DataFrames and Pandas DataFrames, as well as some of the workarounds for unsupported operations.\n", - "* [10 minutes to Pandas](https://pandas.pydata.org/pandas-docs/stable/user_guide/10min.html) -- A quickstart guide to the Pandas DataFrames.\n", - "* [Pandas DataFrame API](https://pandas.pydata.org/pandas-docs/stable/reference/frame.html) -- The API reference for the Pandas DataFrames.\n", - "* [Data preparation and feature training in ML](https://developers.google.com/machine-learning/data-prep) -- A guideline about data transformation for ML training." + "* [Beam DataFrames overview](https://beam.apache.org/documentation/dsls/dataframes/overview) - An overview of the Apache Beam DataFrames API.\n", + "* [Differences from pandas](https://beam.apache.org/documentation/dsls/dataframes/differences-from-pandas) - Reviews the differences between Apache Beam DataFrames and Pandas DataFrames, as well as some of the workarounds for unsupported operations.\n", + "* [10 minutes to Pandas](https://pandas.pydata.org/pandas-docs/stable/user_guide/10min.html) - A quickstart guide to the Pandas DataFrames.\n", + "* [Pandas DataFrame API](https://pandas.pydata.org/pandas-docs/stable/reference/frame.html) - The API reference for the Pandas DataFrames.\n", + "* [Data preparation and feature training in ML](https://developers.google.com/machine-learning/data-prep) - A guideline about data transformation for ML training." ], "metadata": { "id": "nG9WXXVcMCe_" diff --git a/examples/notebooks/beam-ml/run_custom_inference.ipynb b/examples/notebooks/beam-ml/run_custom_inference.ipynb index 9d57bf9f475f..e3f0354dd8cc 100644 --- a/examples/notebooks/beam-ml/run_custom_inference.ipynb +++ b/examples/notebooks/beam-ml/run_custom_inference.ipynb @@ -5,6 +5,7 @@ "execution_count": 1, "id": "C1rAsD2L-hSO", "metadata": { + "cellView": "form", "id": "C1rAsD2L-hSO" }, "outputs": [], @@ -38,12 +39,29 @@ "source": [ "# Bring your own machine learning (ML) model to Beam RunInference\n", "\n", + "\n", + " \n", + " \n", + "
\n", + " Run in Google Colab\n", + " \n", + " View source on GitHub\n", + "
\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "A8xNRyZMW1yK" + }, + "source": [ "This notebook demonstrates how to run inference on your custom framework using the\n", "[ModelHandler](https://beam.apache.org/releases/pydoc/current/apache_beam.ml.inference.base.html#apache_beam.ml.inference.base.ModelHandler) class.\n", "\n", - "Named-Entity Recognition (NER) is one of the most common tasks for natural language processing (NLP). \n", - "NLP locates and named entities in unstructured text and classifies the entities using pre-defined labels, such as person name, organization, date, and so on.\n", - "This example illustrates how to use the popular `spaCy` package to load an ML model and perform inference in an Apache Beam pipeline using the RunInference `PTransform`.\n", + "Named-entity recognition (NER) is one of the most common tasks for natural language processing (NLP). \n", + "NLP locates named entities in unstructured text and classifies the entities using pre-defined labels, such as person name, organization, date, and so on.\n", + "\n", + "This example illustrates how to use the popular `spaCy` package to load a machine learning (ML) model and perform inference in an Apache Beam pipeline using the RunInference `PTransform`.\n", "For more information about the RunInference API, see [Machine Learning](https://beam.apache.org/documentation/sdks/python-machine-learning) in the Apache Beam documentation." ] }, @@ -58,7 +76,7 @@ "\n", "The RunInference library is available in Apache Beam versions 2.40 and later.\n", "\n", - "For this example, you need to install `spaCy` and `pandas`. A small NER model (`en_core_web_sm`) is also installed, but you can use any valid `spaCy` model." + "For this example, you need to install `spaCy` and `pandas`. A small NER model, `en_core_web_sm`, is also installed, but you can use any valid `spaCy` model." ] }, { @@ -84,7 +102,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Learn more about `spaCy`\n", + "## Learn about `spaCy`\n", "\n", "To learn more about `spaCy`, create a `spaCy` language object in memory using `spaCy`'s trained models.\n", "You can install these models as Python packages.\n", @@ -242,9 +260,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Create a`ModelHandler` to use `spaCy` for inference\n", + "## Create a model handler\n", "\n", - "This section demonstrates how to create your own `ModelHandler`." + "This section demonstrates how to create your own `ModelHandler` so that you can use `spaCy` for inference." ] }, { @@ -420,7 +438,6 @@ " | \"CreateSentences\" >> beam.Create(text_strings_with_keys)\n", " | \"RunInferenceSpacy\" >> RunInference(keyed_spacy_model_handler)\n", " # Generate a schema suitable for conversion to a dataframe using Map to Row objects.\n", - " # to a dataframe.\n", " | 'ToRows' >> beam.Map(lambda row: beam.Row(key=row[0], text=row[1][0], predictions=row[1][1]))\n", " )" ] diff --git a/examples/notebooks/beam-ml/run_inference_multi_model.ipynb b/examples/notebooks/beam-ml/run_inference_multi_model.ipynb index a1e52b235461..7eddf95920d7 100644 --- a/examples/notebooks/beam-ml/run_inference_multi_model.ipynb +++ b/examples/notebooks/beam-ml/run_inference_multi_model.ipynb @@ -3,8 +3,7 @@ "nbformat_minor": 0, "metadata": { "colab": { - "provenance": [], - "collapsed_sections": [] + "provenance": [] }, "kernelspec": { "name": "python3", @@ -42,13 +41,22 @@ "cellView": "form", "id": "L_6L5GU7jyR_" }, - "execution_count": null, + "execution_count": 2, "outputs": [] }, { "cell_type": "markdown", "source": [ - "# Ensemble model using an image captioning and ranking example" + "# Ensemble model using an image captioning and ranking example", + "\n", + "\n", + " \n", + " \n", + "
\n", + " Run in Google Colab\n", + " \n", + " View source on GitHub\n", + "
" ], "metadata": { "id": "gPCMXWgOMt_0" @@ -62,7 +70,9 @@ "\n", "This notebook shows how to implement a cascade model in Apache Beam using the [RunInference API](https://beam.apache.org/documentation/sdks/python-machine-learning/). The RunInference API enables you to run your Beam transforms as part of your pipeline for optimal machine learning inference.\n", "\n", - "For more information about the RunInference API, review the [RunInference notebook](https://colab.research.google.com/drive/111USL4VhUa0xt_mKJxl5nC1YLOC8_yF4?usp=sharing#scrollTo=746b67a7-3562-467f-bea3-d8cd18c14927)." + "For more information about the RunInference API, review the [RunInference notebook](https://colab.research.google.com/drive/111USL4VhUa0xt_mKJxl5nC1YLOC8_yF4?usp=sharing#scrollTo=746b67a7-3562-467f-bea3-d8cd18c14927).\n", + "\n", + "**Note:** all images are licensed CC-BY, creators are listed in the [LICENSE.txt](https://storage.googleapis.com/apache-beam-samples/image_captioning/LICENSE.txt) file." ], "metadata": { "id": "6vZWSLyuM_P4" @@ -71,7 +81,7 @@ { "cell_type": "markdown", "source": [ - "## Use case: Image captioning with cascade models " + "## Image captioning with cascade models" ], "metadata": { "id": "i1uyzlj3s3e_" @@ -80,12 +90,12 @@ { "cell_type": "markdown", "source": [ - "Image captioning has various applications, such as image indexing for information retreival, virtual assistant training, and various natural language processing applications.\n", + "Image captioning has various applications, such as image indexing for information retrieval, virtual assistant training, and natural language processing.\n", "\n", "This example shows how to generate captions on a a large set of images. Apache Beam is the ideal tool to handle this workflow. We use two models for this task:\n", "\n", - "* [BLIP](https://github.com/salesforce/BLIP): Used to generate a set of candidate captions for a given image. \n", - "* [CLIP](https://github.com/openai/CLIP): Used to rank the generated captions based on accuracy." + "* [BLIP](https://github.com/salesforce/BLIP): Generates a set of candidate captions for a given image. \n", + "* [CLIP](https://github.com/openai/CLIP): Ranks the generated captions based on accuracy." ], "metadata": { "id": "cP1sBhNacS8b" @@ -94,10 +104,10 @@ { "cell_type": "markdown", "source": [ - 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)" + "![Screenshot from 2022-12-22 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)" ], "metadata": { - "id": "PT8L9hbTcytZ" + "id": "2331lp9hwqWM" } }, { @@ -106,14 +116,14 @@ "The steps to build this pipeline are as follows:\n", "* Read the images.\n", "* Preprocess the images for caption generation for inference with the BLIP model.\n", - "* Inference with BLIP to generate a list of caption candidates.\n", + "* Run inference with BLIP to generate a list of caption candidates.\n", "* Aggregate the generated captions with their source image.\n", - "* Preprocess the aggregated image-caption pair to rank them with CLIP.\n", - "* Inference with CLIP to generate the caption ranking. \n", + "* Preprocess the aggregated image-caption pairs to rank them with CLIP.\n", + "* Run inference with CLIP to generate the caption ranking. \n", "* Print the image names and the captions sorted according to their ranking.\n", "\n", "\n", - "The following diagram illustrates the steps in the inference pipelines used in this notebook:" + "The following diagram illustrates the steps in the inference pipelines used in this notebook." ], "metadata": { "id": "lBPfy-bYgLuD" @@ -174,53 +184,41 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 32, "metadata": { "id": "tTUZpG9_q-OW", "colab": { "base_uri": "https://localhost:8080/" }, - "outputId": "14ffb9db-b67a-40bb-bf39-3b472b188898" + "outputId": "9ee6407a-8e4b-4520-fe5d-54a886b6e0b1" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ - "\u001b[K |████████████████████████████████| 2.0 MB 4.7 MB/s \n", - "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m3.4/3.4 MB\u001b[0m \u001b[31m34.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", - "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m163.5/163.5 kB\u001b[0m \u001b[31m18.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", - "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m880.6/880.6 kB\u001b[0m \u001b[31m62.3 MB/s\u001b[0m eta 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It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\n", - "\u001b[0m\u001b[33mWARNING: google-api-core 2.8.2 does not provide the extra 'grpcgcp'\u001b[0m\u001b[33m\n", - "\u001b[0m\u001b[33mWARNING: google-api-core 2.8.2 does not provide the extra 'grpcgcp'\u001b[0m\u001b[33m\n", - "\u001b[0m\u001b[33mWARNING: google-api-core 2.8.2 does not provide the extra 'grpcgcp'\u001b[0m\u001b[33m\n", - "\u001b[0m\u001b[33mWARNING: google-api-core 2.8.2 does not provide the extra 'grpcgcp'\u001b[0m\u001b[33m\n", - "\u001b[0m\u001b[33mWARNING: google-api-core 2.8.2 does not provide the extra 'grpcgcp'\u001b[0m\u001b[33m\n", - "\u001b[0m\u001b[33mWARNING: google-api-core 2.8.2 does not provide the extra 'grpcgcp'\u001b[0m\u001b[33m\n", - "\u001b[0m\u001b[33mWARNING: google-api-core 2.8.2 does not provide the extra 'grpcgcp'\u001b[0m\u001b[33m\n", - "\u001b[0m\u001b[33mWARNING: google-api-core 2.8.2 does not provide the extra 'grpcgcp'\u001b[0m\u001b[33m\n", - "\u001b[0m\u001b[33mWARNING: google-api-core 2.8.2 does not provide the extra 'grpcgcp'\u001b[0m\u001b[33m\n", - "\u001b[0m\u001b[33mWARNING: google-api-core 2.8.2 does not provide the extra 'grpcgcp'\u001b[0m\u001b[33m\n", - "\u001b[0m\u001b[33mWARNING: google-api-core 2.8.2 does not provide the extra 'grpcgcp'\u001b[0m\u001b[33m\n", - "\u001b[0m\u001b[33mWARNING: google-api-core 2.8.2 does not provide the extra 'grpcgcp'\u001b[0m\u001b[33m\n", - "\u001b[0m\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n", - "tensorflow 2.8.2+zzzcolab20220719082949 requires protobuf<3.20,>=3.9.2, but you have protobuf 3.20.2 which is incompatible.\u001b[0m\u001b[31m\n", "\u001b[0m\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\n", "\u001b[0m" ] @@ -244,6 +242,8 @@ "source": [ "import requests\n", "import os \n", + "import urllib\n", + "import json \n", "import io\n", "from io import BytesIO\n", "from typing import Iterator\n", @@ -278,13 +278,13 @@ "metadata": { "id": "6JbQqfYuvx1f" }, - "execution_count": null, + "execution_count": 1, "outputs": [] }, { "cell_type": "markdown", "source": [ - "### CLIP\n", + "### Install CLIP dependencies\n", "\n", "Download and install the CLIP dependencies." ], @@ -303,9 +303,9 @@ "base_uri": "https://localhost:8080/" }, "id": "Ud4sUXV2x8LO", - "outputId": "aa7d593c-107d-40ab-9212-2aef61fa64a7" + "outputId": "9e12ea04-a347-426f-8145-280a5676e78b" }, - "execution_count": null, + "execution_count": 2, "outputs": [ { "output_type": "stream", @@ -314,12 +314,12 @@ "Error: Failed to call git rev-parse --git-dir --show-toplevel: \"fatal: not a git repository (or any of the parent directories): .git\\n\"\n", "Git LFS initialized.\n", "Cloning into 'clip-vit-base-patch32'...\n", - "remote: Enumerating objects: 48, done.\u001b[K\n", - "remote: Counting objects: 100% (48/48), done.\u001b[K\n", - "remote: Compressing objects: 100% (28/28), done.\u001b[K\n", - "remote: Total 48 (delta 22), reused 42 (delta 19), pack-reused 0\u001b[K\n", - "Unpacking objects: 100% (48/48), done.\n", - "Filtering content: 100% (3/3), 1.69 GiB | 91.86 MiB/s, done.\n" + "remote: Enumerating objects: 51, done.\u001b[K\n", + "remote: Counting objects: 100% (6/6), done.\u001b[K\n", + "remote: Compressing objects: 100% (6/6), done.\u001b[K\n", + "remote: Total 51 (delta 1), reused 0 (delta 0), pack-reused 45\u001b[K\n", + "Unpacking objects: 100% (51/51), done.\n", + "Filtering content: 100% (3/3), 1.69 GiB | 66.58 MiB/s, done.\n" ] } ] @@ -337,13 +337,13 @@ "metadata": { "id": "cDbmVBKuZoWE" }, - "execution_count": null, + "execution_count": 3, "outputs": [] }, { "cell_type": "markdown", "source": [ - "### BLIP\n", + "### Install BLIP dependencies\n", "\n", "Download and install the BLIP dependencies." ], @@ -362,9 +362,9 @@ "base_uri": "https://localhost:8080/" }, "id": "g4-6WwqUtxea", - "outputId": "9a1f2ebf-9fb6-4621-a4cd-7470b5d24964" + "outputId": "3b04b933-aab0-4f5b-c967-ed784125bc6a" }, - "execution_count": null, + "execution_count": 4, "outputs": [ { "output_type": "stream", @@ -372,11 +372,11 @@ "text": [ "Cloning into 'BLIP'...\n", "remote: Enumerating objects: 274, done.\u001b[K\n", - "remote: Counting objects: 100% (109/109), done.\u001b[K\n", - "remote: Compressing objects: 100% (29/29), done.\u001b[K\n", - "remote: Total 274 (delta 89), reused 80 (delta 80), pack-reused 165\u001b[K\n", - "Receiving objects: 100% (274/274), 7.67 MiB | 26.26 MiB/s, done.\n", - "Resolving deltas: 100% (146/146), done.\n", + "remote: Counting objects: 100% (156/156), done.\u001b[K\n", + "remote: Compressing objects: 100% (39/39), done.\u001b[K\n", + "remote: Total 274 (delta 130), reused 117 (delta 117), pack-reused 118\u001b[K\n", + "Receiving objects: 100% (274/274), 7.04 MiB | 13.40 MiB/s, done.\n", + "Resolving deltas: 100% (150/150), done.\n", "/content/BLIP\n" ] } @@ -398,9 +398,9 @@ "base_uri": "https://localhost:8080/" }, "id": "GCvOP_iZh41c", - "outputId": "1e4779dc-ed0c-4450-8590-4d9caeab1083" + "outputId": "224c22b1-eda6-463c-c926-1341ec9edef8" }, - "execution_count": null, + "execution_count": 5, "outputs": [ { "output_type": "stream", @@ -409,7 +409,7 @@ "Downloading...\n", "From: https://storage.googleapis.com/sfr-vision-language-research/BLIP/models/model*_base_caption.pth\n", "To: /content/BLIP/model*_base_caption.pth\n", - "100% 896M/896M [00:04<00:00, 193MB/s] \n" + "100% 896M/896M [00:04<00:00, 198MB/s] \n" ] } ] @@ -417,7 +417,7 @@ { "cell_type": "markdown", "source": [ - "### I/O helper functions\n", + "### Install I/O helper functions\n", "\n", "Download and install the dependencies for the I/O helper functions." ], @@ -430,7 +430,7 @@ "source": [ "class ReadImagesFromUrl(beam.DoFn):\n", " \"\"\"\n", - " Read an image from a given url and return a tuple of the images_url\n", + " Read an image from a given URL and return a tuple of the images_url\n", " and image data.\n", " \"\"\"\n", " def process(self, element: str) -> Tuple[str, Image.Image]:\n", @@ -441,7 +441,7 @@ "\n", "class FormatCaptions(beam.DoFn):\n", " \"\"\"\n", - " Print the image name and it's most relevant captions after CLIP ranking.\n", + " Print the image name and its most relevant captions after CLIP ranking.\n", " \"\"\"\n", " def __init__(self, number_of_top_captions: int):\n", " self._number_of_top_captions = number_of_top_captions\n", @@ -459,7 +459,7 @@ "metadata": { "id": "1Lz3yGuqlAJ_" }, - "execution_count": null, + "execution_count": 6, "outputs": [] }, { @@ -474,10 +474,10 @@ { "cell_type": "markdown", "source": [ - "Define the preprocessing and postprocessing function for each of the models.\n", + "Define the preprocessing and postprocessing functions for each of the models.\n", "\n", "To prepare the instance for processing bundles of elements by initializing and to cache the processing transform resources, use `DoFn.setup()`.\n", - "This step avoids unnecessary re-initializations on every invocation to the processing method." + "This step avoids unnecessary re-initializations on every invocation of the processing method." ], "metadata": { "id": "wEViP715fes4" @@ -486,8 +486,8 @@ { "cell_type": "markdown", "source": [ - "### BLIP\n", - "Define the preprocessing and postprocessing function for BLIP." + "### Define BLIP functions\n", + "Define the preprocessing and postprocessing functions for BLIP." ], "metadata": { "id": "X1UGv6bbyNxY" @@ -499,7 +499,7 @@ "class PreprocessBLIPInput(beam.DoFn):\n", "\n", " \"\"\"\n", - " Process the raw image input to a format suitable for BLIP Inference. The processed\n", + " Process the raw image input to a format suitable for BLIP inference. The processed\n", " images are duplicated to the number of desired captions per image. \n", "\n", " Preprocessing transformation taken from: \n", @@ -520,7 +520,7 @@ "\n", " def process(self, element):\n", " image_url, image = element \n", - " # Update this step when this ticket is resolved: https://github.com/apache/beam/issues/21863\n", + " # The following lines provide a workaround to turn off BatchElements.\n", " preprocessed_img = self._transform(image).unsqueeze(0)\n", " preprocessed_img = preprocessed_img.repeat(self._captions_per_image, 1, 1, 1)\n", " # Parse the processed input to a dictionary to a format suitable for RunInference.\n", @@ -540,15 +540,15 @@ "metadata": { "id": "A1s_QQoUctkc" }, - "execution_count": null, + "execution_count": 7, "outputs": [] }, { "cell_type": "markdown", "source": [ - "### CLIP \n", + "### Define CLIP functions \n", "\n", - "Define the preprocessing and postprocessing function for CLIP." + "Define the preprocessing and postprocessing functions for CLIP." ], "metadata": { "id": "EZHfa1KzWWDI" @@ -627,7 +627,7 @@ "metadata": { "id": "vS2D6VRqBH28" }, - "execution_count": null, + "execution_count": 8, "outputs": [] }, { @@ -642,8 +642,12 @@ { "cell_type": "markdown", "source": [ - "Note that we use a `KeyedModelHandler` for both models to attach a key to the general `ModelHandler`.\n", - "The key is used to keep a reference to the image that the inference is associated with and is used in the postprocessing steps.\n", + "Use a `KeyedModelHandler` for both models to attach a key to the general `ModelHandler`.\n", + "The key is used for the following purposes:\n", + "* To keep a reference to the image that the inference is associated with.\n", + "* To aggregate transforms of different inputs.\n", + "* To run postprocessing steps correctly.\n", + "\n", "In this example, we use the `image_url` as the key." ], "metadata": { @@ -655,20 +659,20 @@ "source": [ "class PytorchNoBatchModelHandlerKeyedTensor(PytorchModelHandlerKeyedTensor):\n", " \"\"\"Wrapper to PytorchModelHandler to limit batch size to 1.\n", - " The caption strings generated from BLIP tokenizer may have different\n", - " lengths, which doesn't work with torch.stack() in current RunInference\n", - " implementation since stack() requires tensors to be the same size.\n", + " The caption strings generated from the BLIP tokenizer might have different\n", + " lengths. Different length strings don't work with torch.stack() in the current RunInference\n", + " implementation, because stack() requires tensors to be the same size.\n", " Restricting max_batch_size to 1 means there is only 1 example per `batch`\n", " in the run_inference() call.\n", " \"\"\"\n", - " # Update this step when this ticket is resolved: https://github.com/apache/beam/issues/21863\n", + " # The following lines provide a workaround to turn off BatchElements.\n", " def batch_elements_kwargs(self):\n", " return {'max_batch_size': 1}" ], "metadata": { "id": "OaR02_wxTMpc" }, - "execution_count": null, + "execution_count": 9, "outputs": [] }, { @@ -683,7 +687,7 @@ { "cell_type": "markdown", "source": [ - "## BLIP\n", + "## Generate captions with BLIP\n", "\n", "Use BLIP to generate a set of candidate captions for a given image." ], @@ -703,7 +707,7 @@ "metadata": { "id": "0npmJ7uSZN7w" }, - "execution_count": null, + "execution_count": 10, "outputs": [] }, { @@ -711,7 +715,7 @@ "source": [ "class BLIPWrapper(torch.nn.Module):\n", " \"\"\"\n", - " Wrapper around the BLIP model to overwrite the default \"forward\" method with the \"generate\" since BLIP uses the \n", + " Wrapper around the BLIP model to overwrite the default \"forward\" method with the \"generate\" method, because BLIP uses the \n", " \"generate\" method to produce the image captions.\n", " \"\"\"\n", " \n", @@ -725,7 +729,7 @@ "\n", " def forward(self, inputs: torch.Tensor):\n", " # Squeeze because RunInference adds an extra dimension, which is empty.\n", - " # Update this step when this ticket is resolved: https://github.com/apache/beam/issues/21863\n", + " # The following lines provide a workaround to turn off BatchElements.\n", " inputs = inputs.squeeze(0)\n", " captions = self._model.generate(inputs,\n", " sample=True,\n", @@ -750,13 +754,13 @@ "metadata": { "id": "RCKBJjujVw4q" }, - "execution_count": null, + "execution_count": 11, "outputs": [] }, { "cell_type": "markdown", "source": [ - "## CLIP\n", + "## Rank captions with CLIP\n", "\n", "Use CLIP to rank the generated captions based on the accuracy with which they represent the image." ], @@ -771,7 +775,7 @@ "\n", " def forward(self, **kwargs: Dict[str, torch.Tensor]):\n", " # Squeeze because RunInference adds an extra dimension, which is empty.\n", - " # Update this step when this ticket is resolved: https://github.com/apache/beam/issues/21863.\n", + " # The following lines provide a workaround to turn off BatchElements.\n", " kwargs = {key: tensor.squeeze(0) for key, tensor in kwargs.items()}\n", " output = super().forward(**kwargs)\n", " logits = output.logits_per_image\n", @@ -789,7 +793,7 @@ "metadata": { "id": "EJw_OnZ1ZfuH" }, - "execution_count": null, + "execution_count": 12, "outputs": [] }, { @@ -806,14 +810,14 @@ { "cell_type": "code", "source": [ - "images_url = ['https://storage.googleapis.com/apache-beam-samples/image_captioning/hamster_tea.jpg',\n", - " 'https://storage.googleapis.com/apache-beam-samples/image_captioning/potato_field.jpg',\n", - " 'https://storage.googleapis.com/apache-beam-samples/image_captioning/eiffel_tower_ballet_dancer.jpg']" + "images_url = ['https://storage.googleapis.com/apache-beam-samples/image_captioning/Paris-sunset.jpeg',\n", + " 'https://storage.googleapis.com/apache-beam-samples/image_captioning/Wedges.jpeg',\n", + " 'https://storage.googleapis.com/apache-beam-samples/image_captioning/Hamsters.jpeg']" ], "metadata": { "id": "VJwE0bquoXOf" }, - "execution_count": null, + "execution_count": 13, "outputs": [] }, { @@ -828,11 +832,16 @@ { "cell_type": "code", "source": [ + "#@title\n", + "license_txt_url = 'https://storage.googleapis.com/apache-beam-samples/image_captioning/LICENSE.txt'\n", + "license_dict = json.loads(urllib.request.urlopen(license_txt_url).read().decode(\"utf-8\")) \n", + "\n", "for image_url in images_url:\n", " response = requests.get(image_url)\n", " image = Image.open(BytesIO(response.content)).convert('RGB')\n", + " image_author = license_dict[image_url]\n", " fig = plt.figure()\n", - " title = os.path.basename(image_url).rsplit('.')[0]\n", + " title = f\"{os.path.basename(image_url).rsplit('.')[0]} \\n Author: {image_author}\"\n", " fig.suptitle(title, fontsize=12)\n", " plt.axis('off')\n", " plt.imshow(image)\n" @@ -843,9 +852,10 @@ "height": 797 }, "id": "qTDcWfND9r1Y", - "outputId": "f0b096f8-a228-4b74-d335-c9fdb89746f3" + "outputId": "6e771e4e-a76a-4855-b466-976cdf35b506", + "cellView": "form" }, - "execution_count": null, + "execution_count": 16, "outputs": [ { "output_type": "display_data", @@ -853,7 +863,7 @@ "text/plain": [ "
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\n" 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\n" 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\n" + "image/png": 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\n" 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\n" 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\n" }, "metadata": { "needs_background": "light" @@ -888,7 +898,7 @@ { "cell_type": "markdown", "source": [ - "## Initialize pipeline run parameters\n", + "## Initialize the pipeline run parameters\n", "\n", "Specify the number of captions generated per image and the number of captions to display with each image." ], @@ -908,13 +918,13 @@ "metadata": { "id": "Dcz_M9GW0Kan" }, - "execution_count": null, + "execution_count": 14, "outputs": [] }, { "cell_type": "markdown", "source": [ - "## Run pipeline" + "## Run the pipeline" ], "metadata": { "id": "5T9Pcdp7oNb8" @@ -923,7 +933,7 @@ { "cell_type": "markdown", "source": [ - "This example uses raw images from the `read_images` pipeline as inputs for both models, because each model needs to preprocess the raw images differently. They require a different embedding representation for image captioning and image-captions pair ranking.\n", + "This example uses raw images from the `read_images` pipeline as inputs for both models. Each model needs to preprocess the raw images differently, because they require a different embedding representation for image captioning and for image-captions pair ranking.\n", "\n", "To aggregate the raw images with the generated caption by their key (the image URL), this example uses `CoGroupByKey`. This process produces a tuple of image-captions pairs that is then passed to the CLIP transform and used for ranking." ], @@ -966,33 +976,33 @@ "base_uri": "https://localhost:8080/" }, "id": "002e-FNbmuB8", - "outputId": "43e260f0-8419-447e-888b-c61e500ef391" + "outputId": "49c646f1-8612-433f-b134-ea8af0ff5591" }, - "execution_count": null, + "execution_count": 18, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ - "Image: hamster_tea\n", + "Image: Paris-sunset\n", "\tTop 3 captions ranked by CLIP:\n", - "\t\t1: a small white hamster inside of a mug. (Caption probability: 0.31)\n", - "\t\t2: the hamster is in a white mug on a blue surface. (Caption probability: 0.24)\n", - "\t\t3: a small hamster in a coffee cup. (Caption probability: 0.22)\n", + "\t\t1: the eiffel tower in paris is silhouetted at sunset. (Caption probability: 0.23)\n", + "\t\t2: the sun sets over the city of paris, with the eiffel tower in the distance. (Caption probability: 0.19)\n", + "\t\t3: the sun sets over the eiffel tower in paris. (Caption probability: 0.17)\n", "\n", "\n", - "Image: potato_field\n", + "Image: Wedges\n", "\tTop 3 captions ranked by CLIP:\n", - "\t\t1: several potatoes are in the ground with a blue sky. (Caption probability: 0.64)\n", - "\t\t2: a bunch of potatoes are sitting in the dirt. (Caption probability: 0.09)\n", - "\t\t3: potato plants sprouts on muddy ground near forest. (Caption probability: 0.09)\n", + "\t\t1: a basket of baked fries with a sauce in it. (Caption probability: 0.60)\n", + "\t\t2: cooked french fries with ketchup and dip sitting in napkin. (Caption probability: 0.16)\n", + "\t\t3: some french fries with dipping sauce on the side. (Caption probability: 0.08)\n", "\n", "\n", - "Image: eiffel_tower_ballet_dancer\n", + "Image: Hamsters\n", "\tTop 3 captions ranked by CLIP:\n", - "\t\t1: a woman practices ballet in front of the eiffel tower. (Caption probability: 0.48)\n", - "\t\t2: a dancer is practicing in front of the eiffel tower. (Caption probability: 0.26)\n", - "\t\t3: a woman is doing ballet next to the eiffel tower. (Caption probability: 0.17)\n", + "\t\t1: a person petting two small hamsters while in their home. (Caption probability: 0.51)\n", + "\t\t2: a woman holding two small white baby animals. (Caption probability: 0.23)\n", + "\t\t3: a hand holding a small mouse that looks tiny. (Caption probability: 0.09)\n", "\n", "\n" ] diff --git a/examples/notebooks/beam-ml/run_inference_pytorch.ipynb b/examples/notebooks/beam-ml/run_inference_pytorch.ipynb index 3afc6bad9890..e52dfed67c22 100644 --- a/examples/notebooks/beam-ml/run_inference_pytorch.ipynb +++ b/examples/notebooks/beam-ml/run_inference_pytorch.ipynb @@ -51,10 +51,27 @@ }, "source": [ "# Apache Beam RunInference for PyTorch\n", + "\n", + "\n", + " \n", + " \n", + "
\n", + " Run in Google Colab\n", + " \n", + " View source on GitHub\n", + "
\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "A8xNRyZMW1yK" + }, + "source": [ "This notebook demonstrates the use of the RunInference transform for PyTorch. Apache Beam includes implementations of the [ModelHandler](https://beam.apache.org/releases/pydoc/current/apache_beam.ml.inference.base.html#apache_beam.ml.inference.base.ModelHandler) class for [users of PyTorch](https://beam.apache.org/releases/pydoc/current/apache_beam.ml.inference.pytorch_inference.html). For more information about the RunInference API, see [Machine Learning](https://beam.apache.org/documentation/sdks/python-machine-learning) in the Apache Beam documentation.\n", "\n", "\n", - "This notebook illustrates common RunInference patterns,such as:\n", + "This notebook illustrates common RunInference patterns, such as:\n", "* Using a database with RunInference.\n", "* Postprocessing results after using RunInference.\n", "* Inference with multiple models in the same pipeline.\n", @@ -71,7 +88,7 @@ "source": [ "## Dependencies\n", "\n", - "The RunInference library is available in Apache Beam versions 2.40 and later.\n", + "The RunInference library is available in Apache Beam versions 2.40 and later.\n", "\n", "To use Pytorch RunInference API, you need to install the PyTorch module. To install PyTorch, use `pip`:" ] @@ -235,7 +252,7 @@ }, "source": [ "### Train the linear regression mode on 5 times data\n", - "Use the following to train your linear regression model on the 5 times table." + "Use the following code to train your linear regression model on the 5 times table." ] }, { @@ -270,7 +287,7 @@ "id": "bd106b29-6187-42c1-9743-1666c147b5e3" }, "source": [ - "Save the model using `torch.save()` and then confirm that the saved model file exists." + "Save the model using `torch.save()`, and then confirm that the saved model file exists." ] }, { @@ -304,6 +321,7 @@ }, "source": [ "### Prepare train and test data for a 10 times model\n", + "This example model is a 10 times table.\n", "* `x` contains values in the range from 0 to 99.\n", "* `y` is a list of 10 * `x`. " ] @@ -404,7 +422,7 @@ "source": [ "### Use RunInference within the pipeline\n", "\n", - "1. Create a PyTorch model handler object by passing required arguments such as `state_dict_path`, `model_class`, `model_params` to the `PytorchModelHandlerTensor` class.\n", + "1. Create a PyTorch model handler object by passing required arguments such as `state_dict_path`, `model_class`, and `model_params` to the `PytorchModelHandlerTensor` class.\n", "2. Pass the `PytorchModelHandlerTensor` object to the RunInference transform to perform predictions on unkeyed data." ] }, @@ -455,8 +473,8 @@ "id": "9d95e69b-203f-4abb-9abb-360bdf4d769a" }, "source": [ - "## Pattern 2: Post-process RunInference results.\n", - "This pattern demonstrates how to post-process the RunInference results.\n", + "## Pattern 2: Postprocess RunInference results\n", + "This pattern demonstrates how to postprocess the RunInference results.\n", "\n", "Add a `PredictionProcessor` to the pipeline after `RunInference`. `PredictionProcessor` processes the output of the `RunInference` transform." ] @@ -529,11 +547,11 @@ "\n", "Modify the pipeline to read from sources like CSV files and BigQuery.\n", "\n", - "In this step we do the following:\n", + "In this step, you take the following actions:\n", "\n", "* To handle keyed data, wrap the `PytorchModelHandlerTensor` object around `KeyedModelHandler`.\n", "* Add a map transform that converts a table row into `Tuple[str, float]`.\n", - "* Add a map transform that converts `Tuple[str, float]` from to `Tuple[str, torch.Tensor]`.\n", + "* Add a map transform that converts `Tuple[str, float]` to `Tuple[str, torch.Tensor]`.\n", "* Modify the post-inference processor to output results with the key." ] }, @@ -564,7 +582,8 @@ "id": "f22da313-5bf8-4334-865b-bbfafc374e63" }, "source": [ - "### Create a source with attached key\n" + "### Create a source with attached key\n", + "This section shows how to create either a BigQuery or a CSV source with an attached key." ] }, { @@ -573,7 +592,8 @@ "id": "c9b0fb49-d605-4f26-931a-57f42b0ad253" }, "source": [ - "#### Use BigQuery as the source" + "#### Use BigQuery as the source", + "Follow these steps to use BigQuery as your source." ] }, { @@ -741,7 +761,8 @@ "id": "53ee7f24-5625-475a-b8cc-9c031591f304" }, "source": [ - "#### Use a CSV file as the source" + "#### Use a CSV file as the source", + "Follow these steps to use a CSV file as your source." ] }, { @@ -826,7 +847,7 @@ "## Pattern 4: Inference with multiple models in the same pipeline\n", "This pattern demonstrates how use inference with multiple models in the same pipeline.\n", "\n", - "### Inference with multiple models in parallel\n", + "### Multiple models in parallel\n", "This section demonstrates how use inference with multiple models in parallel." ] }, @@ -926,7 +947,7 @@ "id": "e71e6706-5d8d-4322-9def-ac7fb20d4a50" }, "source": [ - "### Inference with multiple models in sequence\n", + "### Multiple models in sequence\n", "This section demonstrates how use inference with multiple models in sequence.\n", "\n", "In a sequential pattern, data is sent to one or more models in sequence, \n", diff --git a/examples/notebooks/beam-ml/run_inference_pytorch_tensorflow_sklearn.ipynb b/examples/notebooks/beam-ml/run_inference_pytorch_tensorflow_sklearn.ipynb index 3dac52f9d7a6..2ec05801e9bf 100644 --- a/examples/notebooks/beam-ml/run_inference_pytorch_tensorflow_sklearn.ipynb +++ b/examples/notebooks/beam-ml/run_inference_pytorch_tensorflow_sklearn.ipynb @@ -17,11 +17,6 @@ "cells": [ { "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "LzOTNrs_P6Vv" - }, - "outputs": [], "source": [ "# @title ###### Licensed to the Apache Software Foundation (ASF), Version 2.0 (the \"License\")\n", "\n", @@ -41,25 +36,40 @@ "# KIND, either express or implied. See the License for the\n", "# specific language governing permissions and limitations\n", "# under the License" - ] + ], + "metadata": { + "cellView": "form", + "id": "faayYQYrQzY3" + }, + "execution_count": null, + "outputs": [] }, { "cell_type": "markdown", "metadata": { - "id": "faayYQYrQzY3" + "id": "JjAt1GesQ9sg" }, "source": [ - "## Use RunInference in Apache Beam" + "# Use RunInference in Apache Beam\n", + "\n", + "\n", + " \n", + " \n", + "
\n", + " Run in Google Colab\n", + " \n", + " View source on GitHub\n", + "
\n" ] }, { "cell_type": "markdown", "metadata": { - "id": "JjAt1GesQ9sg" + "id": "A8xNRyZMW1yK" }, "source": [ - "Starting with Apache Beam 2.40.0, you can use Apache Beam with the RunInference API to use machine learning (ML) models for local and remote inference with batch and streaming pipelines.\n", - "The RunInference API leverages Apache Beam concepts, such as the BatchElements transform and the Shared class, to support models in your pipelines that create transforms optimized for machine learning inferences.\n", + "You can use Apache Beam versions 2.40.0 and later with the [RunInference API](https://beam.apache.org/releases/pydoc/current/apache_beam.ml.inference.base.html#apache_beam.ml.inference.base.RunInference) for local and remote inference with batch and streaming pipelines.\n", + "The RunInference API leverages Apache Beam concepts, such as the `BatchElements` transform and the `Shared` class, to support models in your pipelines that create transforms optimized for machine learning inference.\n", "\n", "For more information about the RunInference API, see [Machine Learning](https://beam.apache.org/documentation/sdks/python-machine-learning) in the Apache Beam documentation." ] @@ -70,13 +80,13 @@ "id": "A8xNRyZMW1yK" }, "source": [ - "This notebook demonstrates how to use the RunInference API with three popular ML frameworks: PyTorch, TensorFlow, and scikit-learn. The three pipelines use a text classification model for generating predictions.\n", + "This example demonstrates how to use the RunInference API with three popular ML frameworks: PyTorch, TensorFlow, and scikit-learn. The three pipelines use a text classification model for generating predictions.\n", "\n", "Follow these steps to build a pipeline:\n", "* Read the images.\n", "* If needed, preprocess the text.\n", - "* Inference with the PyTorch, TensorFlow, or Scikit-learn model.\n", - "* If needed, postprocess the output from RunInference." + "* Run inference with the PyTorch, TensorFlow, or Scikit-learn model.\n", + "* If needed, postprocess the output." ] }, { @@ -126,9 +136,9 @@ "id": "ObRPUrlEbjHj" }, "source": [ - "### Model\n", + "### Install the model\n", "\n", - "This example uses a pretrained text classification model, [distilbert-base-uncased-finetuned-sst-2-english](https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english?text=I+like+you.+I+love+you). This model is a checkpoint of DistilBERT-base-uncased, fine-tuned on the SST-2 dataset.\n" + "This example uses a pretrained text classification model, [distilbert-base-uncased-finetuned-sst-2-english](https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english?text=I+like+you.+I+love+you). This model is a checkpoint of `DistilBERT-base-uncased`, fine-tuned on the SST-2 dataset.\n" ] }, { @@ -165,7 +175,7 @@ "id": "vA1UmbFRb5C-" }, "source": [ - "### Helper functions\n", + "### Install helper functions\n", "\n", "The model also uses helper functions." ] @@ -231,9 +241,9 @@ "id": "WYYbQTMWctkW" }, "source": [ - "### RunInference pipeline\n", + "### Run the pipeline\n", "\n", - "This section demonstrates how to use create and run the RunInference pipeline." + "This section demonstrates how to create and run the RunInference pipeline." ] }, { @@ -797,7 +807,7 @@ "id": "h2JP7zsqerCT" }, "source": [ - "### Model" + "### Install the model" ] }, { @@ -827,7 +837,7 @@ "id": "GZ-Ioc8ZfyIT" }, "source": [ - "### Helper functions\n", + "### Install helper functions\n", "\n", "The model also uses helper functions." ] @@ -874,7 +884,7 @@ "id": "PZVwI4BbgaAI" }, "source": [ - "### Prepare the Input\n", + "### Prepare the input\n", "\n", "This section demonstrates how to prepare the input for your model." ] @@ -921,9 +931,9 @@ "id": "BYkQl_l8gRgo" }, "source": [ - "### RunInference Pipeline\n", + "### Run the pipeline\n", "\n", - "This section demonstrates how to use create and run the RunInference pipeline." + "This section demonstrates how to create and run the RunInference pipeline." ] }, { @@ -991,7 +1001,7 @@ "id": "6ArL_55kjxkO" }, "source": [ - "### Install Dependencies\n", + "### Install dependencies\n", "\n", "First, download and install the dependencies." ] @@ -1030,7 +1040,7 @@ "id": "-7ABKlZvkFHy" }, "source": [ - "### Model\n", + "### Install the model\n", "\n", "To classify movie reviews as either positive or negative, train and save a sentiment analysis pipeline about movie reviews." ] @@ -1059,9 +1069,9 @@ "id": "KL4Cx8s0mBqn" }, "source": [ - "### RunInference Pipeline\n", + "### Run the pipeline\n", "\n", - "This section demonstrates how to use create and run the RunInference pipeline." + "This section demonstrates how to create and run the RunInference pipeline." ] }, { diff --git a/examples/notebooks/beam-ml/run_inference_sklearn.ipynb b/examples/notebooks/beam-ml/run_inference_sklearn.ipynb index 9afcccc30f60..e7564cdd561d 100644 --- a/examples/notebooks/beam-ml/run_inference_sklearn.ipynb +++ b/examples/notebooks/beam-ml/run_inference_sklearn.ipynb @@ -51,21 +51,38 @@ }, "source": [ "# Apache Beam RunInference for scikit-learn\n", - "This notebook demonstrates the use of the RunInference transform for [scikit-learn](https://scikit-learn.org/) also called sklearn.\n", + "\n", + "\n", + " \n", + " \n", + "
\n", + " Run in Google Colab\n", + " \n", + " View source on GitHub\n", + "
\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "A8xNRyZMW1yK" + }, + "source": [ + "This notebook demonstrates the use of the RunInference transform for [scikit-learn](https://scikit-learn.org/), also called sklearn.\n", "Apache Beam [RunInference](https://beam.apache.org/releases/pydoc/current/apache_beam.ml.inference.base.html#apache_beam.ml.inference.base.RunInference) has implementations of the [ModelHandler](https://beam.apache.org/releases/pydoc/current/apache_beam.ml.inference.base.html#apache_beam.ml.inference.base.ModelHandler) class prebuilt for scikit-learn. For more information about the RunInference API, see [Machine Learning](https://beam.apache.org/documentation/sdks/python-machine-learning) in the Apache Beam documentation.\n", "\n", - "Users can choose a model handler for their input data type:\n", - "* The [numpy model handler](https://beam.apache.org/releases/pydoc/current/apache_beam.ml.inference.sklearn_inference.html#apache_beam.ml.inference.sklearn_inference.SklearnModelHandlerNumpy)\n", - "* The [pandas dataframes model handler](https://beam.apache.org/releases/pydoc/current/apache_beam.ml.inference.sklearn_inference.html#apache_beam.ml.inference.sklearn_inference.SklearnModelHandlerNumpy)\n", + "You can choose the appropriate model handler based on your input data type:\n", + "* [NumPy model handler](https://beam.apache.org/releases/pydoc/current/apache_beam.ml.inference.sklearn_inference.html#apache_beam.ml.inference.sklearn_inference.SklearnModelHandlerNumpy)\n", + "* [Pandas DataFrame model handler](https://beam.apache.org/releases/pydoc/current/apache_beam.ml.inference.sklearn_inference.html#apache_beam.ml.inference.sklearn_inference.SklearnModelHandlerNumpy)\n", "\n", - "With RunInference, these ModelHandlers manage batching, vectorization, and prediction optimization for your scikit-learn pipeline or model.\n", + "With RunInference, these model handlers manage batching, vectorization, and prediction optimization for your scikit-learn pipeline or model.\n", "\n", "This notebook demonstrates the following common RunInference patterns:\n", "* Generate predictions.\n", "* Postprocess results after RunInference.\n", - "* Inference with multiple models in the same pipeline.\n", + "* Run inference with multiple models in the same pipeline.\n", "\n", - "The linear regression models used in these samples are trained on data that correspondes to the 5 and 10 times table; that is,`y = 5x` and `y = 10x` respectively." + "The linear regression models used in these samples are trained on data that correspondes to the 5 and 10 times tables; that is,`y = 5x` and `y = 10x` respectively." ] }, { @@ -75,7 +92,7 @@ "Complete the following setup steps:\n", "1. Install dependencies for Apache Beam.\n", "1. Authenticate with Google Cloud.\n", - "1. Specify your project and bucket. You need the project and bucket to save and load models." + "1. Specify your project and bucket. You use the project and bucket to save and load models." ], "metadata": { "id": "zzwnMzzgdyPB" @@ -176,7 +193,7 @@ "2. Train the linear regression model.\n", "3. Save the scikit-learn model using `pickle`.\n", "\n", - "In this example, we create two models, one with the 5 times model and a section with the 10 times model." + "In this example, you create two models, one with the 5 times model and a second with the 10 times model." ] }, { @@ -214,9 +231,9 @@ "id": "69008a3d-3d15-4643-828c-b0419b347d01" }, "source": [ - "### scikit-learn RunInference pipeline\n", - "This section demonstrates the following steps:\n", - "1. Define the scikit-learn model handler that accepts an `array_like` object as input.\n", + "### Create a scikit-learn RunInference pipeline\n", + "This section demonstrates how to do the following:\n", + "1. Define a scikit-learn model handler that accepts an `array_like` object as input.\n", "2. Read the data from BigQuery.\n", "3. Use the scikit-learn trained model and the scikit-learn RunInference transform on unkeyed data." ] @@ -360,8 +377,8 @@ "id": "33e901d6-ed06-4268-8a5f-685d31b5558f" }, "source": [ - "### Sklearn RunInference on keyed inputs.\n", - "This section demonstrates the following steps:\n", + "### Use sklearn RunInference on keyed inputs\n", + "This section demonstrates how to do the following:\n", "1. Wrap the `SklearnModelHandlerNumpy` object around `KeyedModelHandler` to handle keyed data.\n", "2. Read the data from BigQuery.\n", "3. Use the sklearn trained model and the sklearn RunInference transform on a keyed data." @@ -410,7 +427,7 @@ "source": [ "## Run multiple models\n", "\n", - "This pipeline takes two RunInference transforms with different models and then combines the output." + "This code creates a pipeline that takes two RunInference transforms with different models and then combines the output." ], "metadata": { "id": "JQ4zvlwsRK1W" diff --git a/examples/notebooks/beam-ml/run_inference_tensorflow.ipynb b/examples/notebooks/beam-ml/run_inference_tensorflow.ipynb index 3e2e9e428aee..8a00ce47b74d 100644 --- a/examples/notebooks/beam-ml/run_inference_tensorflow.ipynb +++ b/examples/notebooks/beam-ml/run_inference_tensorflow.ipynb @@ -7,8 +7,8 @@ "collapsed_sections": [] }, "kernelspec": { - "display_name": "Python 3", - "name": "python3" + "name": "python3", + "display_name": "Python 3" }, "language_info": { "name": "python" @@ -39,6 +39,7 @@ "# under the License" ], "metadata": { + "cellView": "form", "id": "fFjof1NgAJwu" }, "execution_count": null, @@ -46,14 +47,31 @@ }, { "cell_type": "markdown", + "metadata": { + "id": "A8xNRyZMW1yK" + }, "source": [ "# Apache Beam RunInference with TensorFlow\n", + "\n", + "\n", + " \n", + " \n", + "
\n", + " Run in Google Colab\n", + " \n", + " View source on GitHub\n", + "
\n" + ] + }, + { + "cell_type": "markdown", + "source": [ "This notebook demonstrates the use of the RunInference transform for [TensorFlow](https://www.tensorflow.org/).\n", - "Beam [RunInference](https://beam.apache.org/releases/pydoc/current/apache_beam.ml.inference.base.html#apache_beam.ml.inference.base.RunInference) accepts a ModelHandler generated from [`tfx-bsl`](https://github.com/tensorflow/tfx-bsl) via CreateModelHandler.\n", + "Beam [RunInference](https://beam.apache.org/releases/pydoc/current/apache_beam.ml.inference.base.html#apache_beam.ml.inference.base.RunInference) accepts a ModelHandler generated from [`tfx-bsl`](https://github.com/tensorflow/tfx-bsl) using `CreateModelHandler`.\n", "\n", - "The Apache Beam RunInference transform is used for making predictions for\n", + "The Apache Beam RunInference transform is used to make predictions for\n", "a variety of machine learning models. In versions 1.10.0 and later of `tfx-bsl`, you can\n", - "create a TensorFlow ModelHandler for use with Apache Beam. For more information about the RunInference API, see [Machine Learning](https://beam.apache.org/documentation/sdks/python-machine-learning) in the Apache Beam documentation.\n", + "create a TensorFlow `ModelHandler` for use with Apache Beam. For more information about the RunInference API, see [Machine Learning](https://beam.apache.org/documentation/sdks/python-machine-learning) in the Apache Beam documentation.\n", "\n", "This notebook demonstrates the following steps:\n", "- Import [`tfx-bsl`](https://github.com/tensorflow/tfx-bsl).\n", @@ -68,6 +86,9 @@ { "cell_type": "markdown", "source": [ + "## Before you begin\n", + "Complete the following setup steps.\n", + "\n", "First, import `tfx-bsl`." ], "metadata": { @@ -123,7 +144,7 @@ { "cell_type": "markdown", "source": [ - "## Authenticate with Google Cloud\n", + "### Authenticate with Google Cloud\n", "This notebook relies on saving your model to Google Cloud. To use your Google Cloud account, authenticate this notebook." ], "metadata": { @@ -145,7 +166,7 @@ { "cell_type": "markdown", "source": [ - "## Import dependencies and set up your bucket\n", + "### Import dependencies and set up your bucket\n", "Replace `PROJECT_ID` and `BUCKET_NAME` with the ID of your project and the name of your bucket.\n", "\n", "**Important**: If an error occurs, restart your runtime." @@ -193,12 +214,20 @@ "source": [ "## Create and test a simple model\n", "\n", - "This step creates a model that predicts the 5 times table." + "This step creates and tests a model that predicts the 5 times table." ], "metadata": { "id": "YzvZWEv-1oiK" } }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Create the model\n", + "Create training data and build a linear regression model." + ] + }, { "cell_type": "code", "metadata": { @@ -296,7 +325,7 @@ "source": [ "### Populate the data in a TensorFlow proto\n", "\n", - "Tensorflow data uses protos. If you are loading from a file, helpers exist for this step. Because we are using generated data, this code populates a proto." + "Tensorflow data uses protos. If you are loading from a file, helpers exist for this step. Because this example uses generated data, this code populates a proto." ], "metadata": { "id": "dEmleqiH3t71" @@ -356,7 +385,7 @@ "source": [ "### Fit The Model\n", "\n", - "This example builds a model. Because RunInference requires pretrained models, this segment builds a usable model." + "This step builds a model. Because RunInference requires pretrained models, this segment builds a usable model." ], "metadata": { "id": "G-sAu3cf31f3" @@ -445,6 +474,7 @@ "cell_type": "markdown", "source": [ "## Run the Pipeline\n", + "Use the following code to run the pipeline.\n", "\n", "`FormatOutput` demonstrates how to extract values from the output protos.\n", "\n", @@ -507,11 +537,10 @@ "\n", "By default, the `ModelHandler` does not expect a key.\n", "\n", - "If you know that keys are associated with your examples, wrap the model handler with `beam.KeyedModelHandler`.\n", - "\n", - "If you don't know whether keys are associated with your examples, use `beam.MaybeKeyedModelHandler`.\n", + "* If you know that keys are associated with your examples, wrap the model handler with `beam.KeyedModelHandler`.\n", + "* If you don't know whether keys are associated with your examples, use `beam.MaybeKeyedModelHandler`.\n", "\n", - "This step also illustrates how to use `tfx-bsl` examples." + "In addition to demonstrating how to use a keyed model handler, this step demonstrates how to use `tfx-bsl` examples." ], "metadata": { "id": "IXikjkGdHm9n" diff --git a/examples/notebooks/beam-ml/run_inference_tensorflow_hub.ipynb b/examples/notebooks/beam-ml/run_inference_tensorflow_hub.ipynb new file mode 100644 index 000000000000..855de3af32aa --- /dev/null +++ b/examples/notebooks/beam-ml/run_inference_tensorflow_hub.ipynb @@ -0,0 +1,560 @@ +{ + "cells": [ + { + "cell_type": "code", + "source": [ + "# @title ###### Licensed to the Apache Software Foundation (ASF), Version 2.0 (the \"License\")\n", + "\n", + "# Licensed to the Apache Software Foundation (ASF) under one\n", + "# or more contributor license agreements. See the NOTICE file\n", + "# distributed with this work for additional information\n", + "# regarding copyright ownership. The ASF licenses this file\n", + "# to you under the Apache License, Version 2.0 (the\n", + "# \"License\"); you may not use this file except in compliance\n", + "# with the License. You may obtain a copy of the License at\n", + "#\n", + "# http://www.apache.org/licenses/LICENSE-2.0\n", + "#\n", + "# Unless required by applicable law or agreed to in writing,\n", + "# software distributed under the License is distributed on an\n", + "# \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY\n", + "# KIND, either express or implied. See the License for the\n", + "# specific language governing permissions and limitations\n", + "# under the License" + ], + "metadata": { + "id": "Qx4wHX2zIKS1", + "cellView": "form" + }, + "id": "Qx4wHX2zIKS1", + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "3ac8fc4a-a0ef-47b9-bd80-10801eebe13e" + }, + "source": [ + "# RunInference with Sentence-T5 (ST5) model\n", + "\n", + "\n", + " \n", + " \n", + "
\n", + " Run in Google Colab\n", + " \n", + " View source on GitHub\n", + "
\n" + ], + "id": "3ac8fc4a-a0ef-47b9-bd80-10801eebe13e" + }, + { + "cell_type": "markdown", + "metadata": { + "id": "3402ecc9-28d6-4226-99b1-147a2d23b7a0" + }, + "source": [ + "This example demonstrates the use of the RunInference transform with the pre-trained [ST5 text encoder model](https://tfhub.dev/google/sentence-t5/st5-base/1) from TensorFlow Hub. The transform runs locally using the [Interactive Runner](https://beam.apache.org/releases/pydoc/2.11.0/apache_beam.runners.interactive.interactive_runner.html)." + ], + "id": "3ac8fc4a-a0ef-47b9-bd80-10801eebe13e" + }, + { + "cell_type": "markdown", + "metadata": { + "id": "3402ecc9-28d6-4226-99b1-147a2d23b7a9" + }, + "source": [ + "## Download and install the dependencies\n" + ], + "id": "3402ecc9-28d6-4226-99b1-147a2d23b7a9" + }, + { + "cell_type": "code", + "source": [ + "!pip install apache_beam[gcp,interactive]==2.41.0\n", + "!pip install tensorflow==2.10.0\n", + "!pip install tensorflow_text==2.10.0\n", + "!pip install keras==2.10.0\n", + "!pip install tfx_bsl==1.10.0\n", + "!pip install pillow==8.4.0" + ], + "metadata": { + "id": "H2-orNBqsZ95" + }, + "id": "H2-orNBqsZ95", + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "f313a508-59ea-47ed-86eb-c9c8e67785f2", + "scrolled": true + }, + "outputs": [], + "source": [ + "import tensorflow as tf\n", + "import tensorflow_hub as hub\n", + "import tensorflow_text\n", + "\n", + "from tensorflow import keras\n", + "\n", + "import apache_beam as beam\n", + "import apache_beam.runners.interactive.interactive_beam as ib\n", + "\n", + "from apache_beam.ml.inference.base import RunInference\n", + "from apache_beam.ml.inference.base import ModelHandler\n", + "from apache_beam.runners.interactive.interactive_runner import InteractiveRunner\n", + "\n", + "from tfx_bsl.public.beam.run_inference import CreateModelHandler\n", + "from tfx_bsl.public.proto import model_spec_pb2" + ], + "id": "f313a508-59ea-47ed-86eb-c9c8e67785f2" + }, + { + "cell_type": "markdown", + "source": [ + "## Authenticate with Google Cloud\n", + "This notebook relies on saving the model to Google Cloud. To use your Google Cloud account, authenticate this notebook." + ], + "metadata": { + "id": "6zAnF4EmomUS" + }, + "id": "6zAnF4EmomUS" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "r1fgn5I_-mzA" + }, + "outputs": [], + "source": [ + "from google.colab import auth\n", + "auth.authenticate_user()" + ], + "id": "r1fgn5I_-mzA" + }, + { + "cell_type": "markdown", + "metadata": { + "id": "74db0203-3d26-4bc4-8271-81fad9756297" + }, + "source": [ + "## Create a Keras Model from TensorFlow Hub image\n", + "\n", + "Replace `GCS_BUCKET` with the name of your bucket. Your model will be saved in `MODEL_EXPORT_DIR`." + ], + "id": "74db0203-3d26-4bc4-8271-81fad9756297" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "2ff8e394-f577-4dea-bef9-a4f4528c1378" + }, + "outputs": [], + "source": [ + "GCS_BUCKET = ''\n", + "\n", + "MODEL_EXPORT_DIR = f'gs://{GCS_BUCKET}/st5-base/1'" + ], + "id": "2ff8e394-f577-4dea-bef9-a4f4528c1378" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "ccaede25-1c1a-4ec4-9296-25c9a2ac43d7" + }, + "outputs": [], + "source": [ + "inp = tf.keras.layers.Input(shape=[], dtype=tf.string, name='input')\n", + "hub_url = \"https://tfhub.dev/google/sentence-t5/st5-base/1\"\n", + "imported = hub.KerasLayer(hub_url)\n", + "outp = imported(inp)\n", + "model = tf.keras.Model(inp, outp)" + ], + "id": "ccaede25-1c1a-4ec4-9296-25c9a2ac43d7" + }, + { + "cell_type": "code", + "source": [ + "# The ST5 model returns a 768-dimensional vector for an English text input.\n", + "model.summary()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "Xvb-E0D1JHnr", + "outputId": "121a5924-94b0-4b01-97da-14a7223ec61c" + }, + "id": "Xvb-E0D1JHnr", + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Model: \"model\"\n", + "_________________________________________________________________\n", + " Layer (type) Output Shape Param # \n", + "=================================================================\n", + " input (InputLayer) [(None,)] 0 \n", + " \n", + " keras_layer (KerasLayer) [(None, 768)] 0 \n", + " \n", + "=================================================================\n", + "Total params: 0\n", + "Trainable params: 0\n", + "Non-trainable params: 0\n", + "_________________________________________________________________\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "29803d5b-93b9-41fc-b414-f7c737c5d7bc" + }, + "source": [ + "## Save the model\n", + "Save the model with a TF function definition for RunInference." + ], + "id": "29803d5b-93b9-41fc-b414-f7c737c5d7bc" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "704abfca-5956-4fc1-9717-4c6d5bf2db8e" + }, + "outputs": [], + "source": [ + "RAW_DATA_PREDICT_SPEC = {\n", + " 'input': tf.io.FixedLenFeature([], tf.string),\n", + "}\n", + "\n", + "@tf.function(input_signature=[tf.TensorSpec(shape=[None], dtype=tf.string)])\n", + "def call(serialized_examples):\n", + " features = tf.io.parse_example(serialized_examples, RAW_DATA_PREDICT_SPEC)\n", + " return model(features)\n", + "\n", + "tf.saved_model.save(model, MODEL_EXPORT_DIR, signatures={'serving_default': call})" + ], + "id": "704abfca-5956-4fc1-9717-4c6d5bf2db8e" + }, + { + "cell_type": "markdown", + "metadata": { + "id": "7b56569d-e540-44ed-a46a-9cec886522f6" + }, + "source": [ + "## Create and test the RunInference pipeline locally\n", + "Use TFX_BSL's [CreateModelHandler](https://www.tensorflow.org/tfx/tfx_bsl/api_docs/python/tfx_bsl/public/beam/run_inference/CreateModelHandler) function for RunInference with TensorFlow models." + ], + "id": "7b56569d-e540-44ed-a46a-9cec886522f6" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "fad13b30-b159-425c-8c15-a41301abd3a4" + }, + "outputs": [], + "source": [ + "# Creates a TensorFlow example to feed to the model handler.\n", + "class ExampleProcessor:\n", + " def create_example(self, feature: tf.string):\n", + " return tf.train.Example(\n", + " features=tf.train.Features(\n", + " feature={'input' : self.create_feature(feature)})\n", + " )\n", + "\n", + " def create_feature(self, element: tf.string):\n", + " return tf.train.Feature(bytes_list=tf.train.BytesList(value=[element.encode()], ))\n" + ], + "id": "fad13b30-b159-425c-8c15-a41301abd3a4" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "60380ebd-5bc8-4bc6-9cf4-3030bf687367", + "scrolled": true, + "colab": { + "base_uri": "https://localhost:8080/", + "height": 17 + }, + "outputId": "1b53641d-806f-4f0b-c8f3-9badf67ab98a" + }, + "outputs": [ + { + "output_type": "display_data", + "data": { + "application/javascript": [ + "\n", + " if (typeof window.interactive_beam_jquery == 'undefined') {\n", + " var jqueryScript = document.createElement('script');\n", + " jqueryScript.src = 'https://code.jquery.com/jquery-3.4.1.slim.min.js';\n", + " jqueryScript.type = 'text/javascript';\n", + " jqueryScript.onload = function() {\n", + " var datatableScript = document.createElement('script');\n", + " datatableScript.src = 'https://cdn.datatables.net/1.10.20/js/jquery.dataTables.min.js';\n", + " datatableScript.type = 'text/javascript';\n", + " datatableScript.onload = function() {\n", + " window.interactive_beam_jquery = jQuery.noConflict(true);\n", + " window.interactive_beam_jquery(document).ready(function($){\n", + " \n", + " });\n", + " }\n", + " document.head.appendChild(datatableScript);\n", + " };\n", + " document.head.appendChild(jqueryScript);\n", + " } else {\n", + " window.interactive_beam_jquery(document).ready(function($){\n", + " \n", + " });\n", + " }" + ] + }, + "metadata": {} + } + ], + "source": [ + "saved_model_spec = model_spec_pb2.SavedModelSpec(model_path=MODEL_EXPORT_DIR)\n", + "inference_spec_type = model_spec_pb2.InferenceSpecType(saved_model_spec=saved_model_spec)\n", + "model_handler = CreateModelHandler(inference_spec_type)\n", + "\n", + "questions = [\n", + " 'what is the official slogan for the 2018 winter olympics?',\n", + "]\n", + "\n", + "pipeline = beam.Pipeline(InteractiveRunner())\n", + "\n", + "inference = (pipeline | 'CreateSentences' >> beam.Create(questions)\n", + " | 'Convert input to Tensor' >> beam.Map(lambda x: ExampleProcessor().create_example(x))\n", + " | 'RunInference with T5' >> RunInference(model_handler))" + ], + "id": "60380ebd-5bc8-4bc6-9cf4-3030bf687367" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "29a84182-baa5-45c4-abcf-d9cab84835c9", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 565 + }, + "outputId": "d6ef64c2-f120-4bc1-c972-78c1cd8a729e" + }, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "" + ], + "text/html": [ + "\n", + " \n", + "
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\n", + " Processing... show\n", + "
\n", + " " + ] + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stderr", + "text": [ + "WARNING:tensorflow:From /usr/local/lib/python3.8/dist-packages/tfx_bsl/beam/run_inference.py:615: load (from tensorflow.python.saved_model.loader_impl) is deprecated and will be removed in a future version.\n", + "Instructions for updating:\n", + "This function will only be available through the v1 compatibility library as tf.compat.v1.saved_model.loader.load or tf.compat.v1.saved_model.load. There will be a new function for importing SavedModels in Tensorflow 2.0.\n", + "2022-12-06 09:30:47.084208: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:354] MLIR V1 optimization pass is not enabled\n", + "2022-12-06 09:30:54.471173: I tensorflow/compiler/xla/service/service.cc:173] XLA service 0x4a3e0a00 initialized for platform Host (this does not guarantee that XLA will be used). Devices:\n", + "2022-12-06 09:30:54.471244: I tensorflow/compiler/xla/service/service.cc:181] StreamExecutor device (0): Host, Default Version\n", + "2022-12-06 09:30:54.537285: I tensorflow/compiler/mlir/tensorflow/utils/dump_mlir_util.cc:268] disabling MLIR crash reproducer, set env var `MLIR_CRASH_REPRODUCER_DIRECTORY` to enable.\n", + "2022-12-06 09:31:00.441479: I tensorflow/compiler/jit/xla_compilation_cache.cc:476] Compiled cluster using XLA! This line is logged at most once for the lifetime of the process.\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "" + ], + "text/html": [ + "\n", + " \n", + " \n", + "
\n", + " " + ] + }, + "metadata": {} + }, + { + "output_type": "display_data", + "data": { + "application/javascript": [ + "\n", + " if (typeof window.interactive_beam_jquery == 'undefined') {\n", + " var jqueryScript = document.createElement('script');\n", + " jqueryScript.src = 'https://code.jquery.com/jquery-3.4.1.slim.min.js';\n", + " jqueryScript.type = 'text/javascript';\n", + " jqueryScript.onload = function() {\n", + " var datatableScript = document.createElement('script');\n", + " datatableScript.src = 'https://cdn.datatables.net/1.10.20/js/jquery.dataTables.min.js';\n", + " datatableScript.type = 'text/javascript';\n", + " datatableScript.onload = function() {\n", + " window.interactive_beam_jquery = jQuery.noConflict(true);\n", + " window.interactive_beam_jquery(document).ready(function($){\n", + " \n", + " $(\"#progress_indicator_02aa6852261e6f1837821c6131548b47\").remove();\n", + " });\n", + " }\n", + " document.head.appendChild(datatableScript);\n", + " };\n", + " document.head.appendChild(jqueryScript);\n", + " } else {\n", + " window.interactive_beam_jquery(document).ready(function($){\n", + " \n", + " $(\"#progress_indicator_02aa6852261e6f1837821c6131548b47\").remove();\n", + " });\n", + " }" + ] + }, + "metadata": {} + } + ], + "source": [ + "ib.show(inference)" + ], + "id": "29a84182-baa5-45c4-abcf-d9cab84835c9" + } + ], + "metadata": { + "colab": { + "provenance": [] + }, + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/examples/notebooks/tour-of-beam/reading-and-writing-data.ipynb b/examples/notebooks/tour-of-beam/reading-and-writing-data.ipynb index 2fb541236f3f..46dcce41122f 100644 --- a/examples/notebooks/tour-of-beam/reading-and-writing-data.ipynb +++ b/examples/notebooks/tour-of-beam/reading-and-writing-data.ipynb @@ -735,7 +735,7 @@ "# What's next?\n", "\n", "* ![Open in Colab](https://github.com/googlecolab/open_in_colab/raw/main/images/icon16.png)\n", - " [Windowing](https://colab.research.google.com/github/apache/beam/blob/master/examples/notebooks/tour-of-beam/reading-and-writing-data.ipynb) --\n", + " [Windowing](https://colab.research.google.com/github/apache/beam/blob/master/examples/notebooks/tour-of-beam/windowing.ipynb) --\n", " how process data based on time intervals. \n", "* [Programming guide](https://beam.apache.org/documentation/programming-guide) -- learn about all the Apache Beam concepts in more depth.\n", "* [Transform catalog](https://beam.apache.org/documentation/transforms/python/overview) -- check out all the available transforms.\n", diff --git a/gradle.properties b/gradle.properties index d6dd324049b8..9f65ed82f96a 100644 --- a/gradle.properties +++ b/gradle.properties @@ -17,6 +17,7 @@ ################################################################################ org.gradle.caching=true org.gradle.parallel=true +org.gradle.daemon=false org.gradle.configureondemand=true org.gradle.jvmargs=-Xss10240k org.gradle.vfs.watch=true @@ -29,8 +30,8 @@ signing.gnupg.useLegacyGpg=true # buildSrc/src/main/groovy/org/apache/beam/gradle/BeamModulePlugin.groovy. # To build a custom Beam version make sure you change it in both places, see # https://github.com/apache/beam/issues/21302. -version=2.44.0-SNAPSHOT -sdk_version=2.44.0.dev +version=2.46.0-SNAPSHOT +sdk_version=2.46.0.dev javaVersion=1.8 diff --git a/learning/katas/python/Examples/Word Count/Word Count/task.py b/learning/katas/python/Examples/Word Count/Word Count/task.py index 4c605c401ef8..fb3bf9c23863 100644 --- a/learning/katas/python/Examples/Word Count/Word Count/task.py +++ b/learning/katas/python/Examples/Word Count/Word Count/task.py @@ -18,7 +18,7 @@ # name: WordCountKata # description: Task from katas to create a pipeline that counts the number of words. # multifile: false -# context_line: 29 +# context_line: 32 # categories: # - Combiners # complexity: BASIC diff --git a/learning/katas/python/IO/TextIO/ReadFromText/task.py b/learning/katas/python/IO/TextIO/ReadFromText/task.py index 720d9214abc8..fc9d51565790 100644 --- a/learning/katas/python/IO/TextIO/ReadFromText/task.py +++ b/learning/katas/python/IO/TextIO/ReadFromText/task.py @@ -18,7 +18,9 @@ # name: ReadFromText # description: Task from katas to read from text files. # multifile: true -# context_line: 29 +# files: +# - name: countries.txt +# context_line: 33 # categories: # - IO # complexity: BASIC diff --git a/learning/katas/python/Streaming/Triggers/Early Triggers/task.py b/learning/katas/python/Streaming/Triggers/Early Triggers/task.py index 830e612a4307..7dd22836be03 100644 --- a/learning/katas/python/Streaming/Triggers/Early Triggers/task.py +++ b/learning/katas/python/Streaming/Triggers/Early Triggers/task.py @@ -21,7 +21,9 @@ # name: EarlyTriggers # description: Task from katas to count events using early triggers # multifile: true -# context_line: 46 +# files: +# - name: generate_event.py +# context_line: 36 # categories: # - Streaming # complexity: MEDIUM diff --git a/learning/katas/python/Streaming/Triggers/Event Time Triggers/task.py b/learning/katas/python/Streaming/Triggers/Event Time Triggers/task.py index 283648499e1a..b32a453560f7 100644 --- a/learning/katas/python/Streaming/Triggers/Event Time Triggers/task.py +++ b/learning/katas/python/Streaming/Triggers/Event Time Triggers/task.py @@ -21,7 +21,9 @@ # name: EventTimeTriggers # description: Task from katas to count events with event time triggers # multifile: true -# context_line: 46 +# files: +# - name: generate_event.py +# context_line: 36 # categories: # - Streaming # complexity: MEDIUM @@ -41,15 +43,15 @@ class CountEvents(beam.PTransform): - def expand(self, events): - return (events - | beam.WindowInto(FixedWindows(5), - trigger=AfterWatermark(), - accumulation_mode=AccumulationMode.DISCARDING, - allowed_lateness=Duration(seconds=0)) - | beam.CombineGlobally(beam.combiners.CountCombineFn()).without_defaults()) + def expand(self, events): + return (events + | beam.WindowInto(FixedWindows(5), + trigger=AfterWatermark(), + accumulation_mode=AccumulationMode.DISCARDING, + allowed_lateness=Duration(seconds=0)) + | beam.CombineGlobally(beam.combiners.CountCombineFn()).without_defaults()) with beam.Pipeline() as p: - (p | GenerateEvent.sample_data() + (p | GenerateEvent.sample_data() | CountEvents() | LogElements(with_window=True)) diff --git a/learning/katas/python/Streaming/Triggers/Window Accumulation Modes/task.py b/learning/katas/python/Streaming/Triggers/Window Accumulation Modes/task.py index 51f592722a92..3cbe9927a605 100644 --- a/learning/katas/python/Streaming/Triggers/Window Accumulation Modes/task.py +++ b/learning/katas/python/Streaming/Triggers/Window Accumulation Modes/task.py @@ -20,7 +20,9 @@ # name: WindowAccumulationMode # description: Task from katas to count events using ACCUMULATING as accumulation mode # multifile: true -# context_line: 51 +# files: +# - name: generate_event.py +# context_line: 36 # categories: # - Streaming # complexity: ADVANCED diff --git a/learning/tour-of-beam/backend/README.md b/learning/tour-of-beam/backend/README.md index e6f31d887959..a2928e1f9572 100644 --- a/learning/tour-of-beam/backend/README.md +++ b/learning/tour-of-beam/backend/README.md @@ -87,10 +87,24 @@ Prerequisites: * Cloud Functions API * Firebase Admin API * Secret Manager API + - existing setup of Playground backend in a project + * (output) GKE_CLUSTER_NAME (`playground` by default) + * (output) GKE_ZONE, like `us-east1-b` - set environment variables: * PROJECT_ID: GCP id * REGION: the region, "us-central1" fe - - existing setup of Playground backend in a project + * PLAYGROUND_ROUTER_HOST: router serving Playground Router GRPC API + +__To discover Router host:__ +``` +# setup kubectl credentials +gcloud container clusters get-credentials $GKE_CLUSTER_NAME --zone $GKE_ZONE --project $PROJECT_ID + +# get external host:port of a backend-router-grpc service +PLAYGROUND_ROUTER_HOST=$(kubectl get svc -l "app=backend-router-grpc" \ + -o jsonpath='{.items[0].status.loadBalancer.ingress[0].ip}:{.items[0].spec.ports[0].port}'\ +) +``` 1. Deploy Datastore indexes (but don't delete existing Playground indexes!) ``` @@ -103,7 +117,7 @@ for endpoint in getSdkList getContentTree getUnitContent getUserProgress postUni gcloud functions deploy $endpoint --entry-point $endpoint \ --region $REGION --runtime go116 --allow-unauthenticated \ --trigger-http \ - --set-env-vars="DATASTORE_PROJECT_ID=$PROJECT_ID,GOOGLE_PROJECT_ID=$PROJECT_ID" + --set-env-vars="DATASTORE_PROJECT_ID=$PROJECT_ID,GOOGLE_PROJECT_ID=$PROJECT_ID,PLAYGROUND_ROUTER_HOST=$PLAYGROUND_ROUTER_HOST" done ``` @@ -168,3 +182,9 @@ request body: $ curl -X POST -H "Authorization: Bearer $token" \ "https://$REGION-$PROJECT_ID.cloudfunctions.net/postUserCode?sdk=python&id=challenge1" -d @request.json ``` + +### Delete user progress +``` +$ curl -X POST -H "Authorization: Bearer $token" \ + "https://$REGION-$PROJECT_ID.cloudfunctions.net/postDeleteProgress" -d '{}' +``` \ No newline at end of file diff --git a/learning/tour-of-beam/backend/auth.go b/learning/tour-of-beam/backend/auth.go index e307c00fe293..2d5a3c241c0d 100644 --- a/learning/tour-of-beam/backend/auth.go +++ b/learning/tour-of-beam/backend/auth.go @@ -23,13 +23,16 @@ import ( "net/http" "strings" - tob "beam.apache.org/learning/tour-of-beam/backend/internal" "beam.apache.org/learning/tour-of-beam/backend/internal/storage" firebase "firebase.google.com/go/v4" ) -// HandleFunc enriched with sdk and authenticated user uid. -type HandlerFuncAuthWithSdk func(w http.ResponseWriter, r *http.Request, sdk tob.Sdk, uid string) +// helper to extract uid from context +// set by ParseAuthHeader middleware +// panics if key is not found +func getContextUid(r *http.Request) string { + return r.Context().Value(CONTEXT_KEY_UID).(string) +} const BEARER_SCHEMA = "Bearer " @@ -53,8 +56,8 @@ func MakeAuthorizer(ctx context.Context, repo storage.Iface) *Authorizer { } // middleware to parse authorization header, verify the ID token and extract uid. -func (a *Authorizer) ParseAuthHeader(next HandlerFuncAuthWithSdk) HandlerFuncWithSdk { - return func(w http.ResponseWriter, r *http.Request, sdk tob.Sdk) { +func (a *Authorizer) ParseAuthHeader(next http.HandlerFunc) http.HandlerFunc { + return func(w http.ResponseWriter, r *http.Request) { ctx := r.Context() header := r.Header.Get("authorization") // returns "" if no header if !strings.HasPrefix(header, BEARER_SCHEMA) { @@ -87,6 +90,7 @@ func (a *Authorizer) ParseAuthHeader(next HandlerFuncAuthWithSdk) HandlerFuncWit return } - next(w, r, sdk, uid) + ctx = context.WithValue(ctx, CONTEXT_KEY_UID, uid) + next(w, r.WithContext(ctx)) } } diff --git a/learning/tour-of-beam/backend/function.go b/learning/tour-of-beam/backend/function.go index 2e89cd0c9b05..8c761ab63aa0 100644 --- a/learning/tour-of-beam/backend/function.go +++ b/learning/tour-of-beam/backend/function.go @@ -115,6 +115,7 @@ func init() { functions.HTTP("getUserProgress", commonGet(ParseSdkParam(auth.ParseAuthHeader(getUserProgress)))) functions.HTTP("postUnitComplete", commonPost(ParseSdkParam(auth.ParseAuthHeader(postUnitComplete)))) functions.HTTP("postUserCode", commonPost(ParseSdkParam(auth.ParseAuthHeader(postUserCode)))) + functions.HTTP("postDeleteProgress", commonPost(auth.ParseAuthHeader(postDeleteProgress))) } // Get list of SDK names @@ -132,7 +133,8 @@ func getSdkList(w http.ResponseWriter, r *http.Request) { // Get the content tree for a given SDK // Required to be wrapped into ParseSdkParam middleware. -func getContentTree(w http.ResponseWriter, r *http.Request, sdk tob.Sdk) { +func getContentTree(w http.ResponseWriter, r *http.Request) { + sdk := getContextSdk(r) tree, err := svc.GetContentTree(r.Context(), sdk) if err != nil { log.Println("Get content tree error:", err) @@ -152,7 +154,8 @@ func getContentTree(w http.ResponseWriter, r *http.Request, sdk tob.Sdk) { // Everything needed to render a learning unit: // description, hints, code snippets // Required to be wrapped into ParseSdkParam middleware. -func getUnitContent(w http.ResponseWriter, r *http.Request, sdk tob.Sdk) { +func getUnitContent(w http.ResponseWriter, r *http.Request) { + sdk := getContextSdk(r) unitId := r.URL.Query().Get("id") unit, err := svc.GetUnitContent(r.Context(), sdk, unitId) @@ -174,8 +177,11 @@ func getUnitContent(w http.ResponseWriter, r *http.Request, sdk tob.Sdk) { } } -// Get user progress -func getUserProgress(w http.ResponseWriter, r *http.Request, sdk tob.Sdk, uid string) { +// Get user progress by sdk and uid +func getUserProgress(w http.ResponseWriter, r *http.Request) { + sdk := getContextSdk(r) + uid := getContextUid(r) + progress, err := svc.GetUserProgress(r.Context(), sdk, uid) if err != nil { @@ -193,7 +199,9 @@ func getUserProgress(w http.ResponseWriter, r *http.Request, sdk tob.Sdk, uid st } // Mark unit completed -func postUnitComplete(w http.ResponseWriter, r *http.Request, sdk tob.Sdk, uid string) { +func postUnitComplete(w http.ResponseWriter, r *http.Request) { + sdk := getContextSdk(r) + uid := getContextUid(r) unitId := r.URL.Query().Get("id") err := svc.SetUnitComplete(r.Context(), sdk, unitId, uid) @@ -211,7 +219,9 @@ func postUnitComplete(w http.ResponseWriter, r *http.Request, sdk tob.Sdk, uid s } // Save user code for unit -func postUserCode(w http.ResponseWriter, r *http.Request, sdk tob.Sdk, uid string) { +func postUserCode(w http.ResponseWriter, r *http.Request) { + sdk := getContextSdk(r) + uid := getContextUid(r) unitId := r.URL.Query().Get("id") var userCodeRequest tob.UserCodeRequest @@ -239,3 +249,17 @@ func postUserCode(w http.ResponseWriter, r *http.Request, sdk tob.Sdk, uid strin fmt.Fprint(w, "{}") } + +// Delete user progress +func postDeleteProgress(w http.ResponseWriter, r *http.Request) { + uid := getContextUid(r) + + err := svc.DeleteProgress(r.Context(), uid) + if err != nil { + log.Println("Delete progress error:", err) + finalizeErrResponse(w, http.StatusInternalServerError, INTERNAL_ERROR, "storage error") + return + } + + fmt.Fprint(w, "{}") +} diff --git a/learning/tour-of-beam/backend/integration_tests/auth_test.go b/learning/tour-of-beam/backend/integration_tests/auth_test.go index 6b0e4df98d29..021b97a03bfb 100644 --- a/learning/tour-of-beam/backend/integration_tests/auth_test.go +++ b/learning/tour-of-beam/backend/integration_tests/auth_test.go @@ -84,6 +84,13 @@ func TestSaveGetProgress(t *testing.T) { } getUserProgressURL := "http://localhost:" + port + // postDeleteProgressURL + port = os.Getenv(PORT_POST_DELETE_PROGRESS) + if port == "" { + t.Fatal(PORT_POST_DELETE_PROGRESS, "env not set") + } + postDeleteProgressURL := "http://localhost:" + port + t.Run("save_complete_no_unit", func(t *testing.T) { resp, err := PostUnitComplete(postUnitCompleteURL, "python", "unknown_unit_id_1", idToken) checkBadHttpCode(t, err, http.StatusNotFound) @@ -142,6 +149,25 @@ func TestSaveGetProgress(t *testing.T) { exp.Units[1].UserSnippetId = resp.Units[1].UserSnippetId assert.Equal(t, exp, resp) }) + t.Run("delete_progress", func(t *testing.T) { + _, err := PostDeleteProgress(postDeleteProgressURL, idToken) + if err != nil { + t.Fatal(err) + } + }) + t.Run("delete_progress_retry", func(t *testing.T) { + _, err := PostDeleteProgress(postDeleteProgressURL, idToken) + if err != nil { + t.Fatal(err) + } + }) + t.Run("get_deleted", func(t *testing.T) { + resp, err := GetUserProgress(getUserProgressURL, "python", idToken) + if err != nil { + t.Fatal(err) + } + assert.Equal(t, 0, len(resp.Units)) + }) } func TestUserCode(t *testing.T) { diff --git a/learning/tour-of-beam/backend/integration_tests/client.go b/learning/tour-of-beam/backend/integration_tests/client.go index 5058929eca46..956c67dde5d6 100644 --- a/learning/tour-of-beam/backend/integration_tests/client.go +++ b/learning/tour-of-beam/backend/integration_tests/client.go @@ -112,6 +112,13 @@ func PostUserCode(url, sdk, unitId, token string, body UserCodeRequest) (ErrorRe return result, err } +func PostDeleteProgress(url, token string) (ErrorResponse, error) { + var result ErrorResponse + err := Do(&result, http.MethodPost, url, nil, + map[string]string{"Authorization": "Bearer " + token}, nil) + return result, err +} + func Post(dst interface{}, url string, queryParams, headers map[string]string, body io.Reader) error { if err := Options(http.MethodPost, url, queryParams); err != nil { return fmt.Errorf("pre-flight request error: %w", err) diff --git a/learning/tour-of-beam/backend/integration_tests/function_test.go b/learning/tour-of-beam/backend/integration_tests/function_test.go index ee99769f8e83..813bbdbedd42 100644 --- a/learning/tour-of-beam/backend/integration_tests/function_test.go +++ b/learning/tour-of-beam/backend/integration_tests/function_test.go @@ -26,12 +26,13 @@ import ( ) const ( - PORT_SDK_LIST = "PORT_SDK_LIST" - PORT_GET_CONTENT_TREE = "PORT_GET_CONTENT_TREE" - PORT_GET_UNIT_CONTENT = "PORT_GET_UNIT_CONTENT" - PORT_GET_USER_PROGRESS = "PORT_GET_USER_PROGRESS" - PORT_POST_UNIT_COMPLETE = "PORT_POST_UNIT_COMPLETE" - PORT_POST_USER_CODE = "PORT_POST_USER_CODE" + PORT_SDK_LIST = "PORT_SDK_LIST" + PORT_GET_CONTENT_TREE = "PORT_GET_CONTENT_TREE" + PORT_GET_UNIT_CONTENT = "PORT_GET_UNIT_CONTENT" + PORT_GET_USER_PROGRESS = "PORT_GET_USER_PROGRESS" + PORT_POST_UNIT_COMPLETE = "PORT_POST_UNIT_COMPLETE" + PORT_POST_USER_CODE = "PORT_POST_USER_CODE" + PORT_POST_DELETE_PROGRESS = "PORT_POST_DELETE_PROGRESS" ) // scenarios: diff --git a/learning/tour-of-beam/backend/integration_tests/local.sh b/learning/tour-of-beam/backend/integration_tests/local.sh index a28032ac0cbc..35eb1f77719c 100644 --- a/learning/tour-of-beam/backend/integration_tests/local.sh +++ b/learning/tour-of-beam/backend/integration_tests/local.sh @@ -31,6 +31,7 @@ export PORT_GET_UNIT_CONTENT=8803 export PORT_GET_USER_PROGRESS=8804 export PORT_POST_UNIT_COMPLETE=8805 export PORT_POST_USER_CODE=8806 +export PORT_POST_DELETE_PROGRESS=8807 mkdir "$DATASTORE_EMULATOR_DATADIR" @@ -44,6 +45,7 @@ PORT=$PORT_GET_UNIT_CONTENT FUNCTION_TARGET=getUnitContent ./tob_function & PORT=$PORT_GET_USER_PROGRESS FUNCTION_TARGET=getUserProgress ./tob_function & PORT=$PORT_POST_UNIT_COMPLETE FUNCTION_TARGET=postUnitComplete ./tob_function & PORT=$PORT_POST_USER_CODE FUNCTION_TARGET=postUserCode ./tob_function & +PORT=$PORT_POST_DELETE_PROGRESS FUNCTION_TARGET=postDeleteProgress ./tob_function & sleep 5 diff --git a/learning/tour-of-beam/backend/internal/fs_content/load.go b/learning/tour-of-beam/backend/internal/fs_content/load.go index af532a178c1f..b0e0a8bfab41 100644 --- a/learning/tour-of-beam/backend/internal/fs_content/load.go +++ b/learning/tour-of-beam/backend/internal/fs_content/load.go @@ -16,13 +16,14 @@ package fs_content import ( + "bytes" "fmt" "io/fs" - "io/ioutil" "log" "os" "path/filepath" "regexp" + "text/template" tob "beam.apache.org/learning/tour-of-beam/backend/internal" ) @@ -38,11 +39,12 @@ const ( ) type learningPathInfo struct { - Sdk string `yaml:"sdk"` + Sdk []string `yaml:"sdk"` Content []string `yaml:"content"` } type learningModuleInfo struct { + Sdk []string `yaml:"sdk"` Id string `yaml:"id"` Name string `yaml:"name"` Complexity string `yaml:"complexity"` @@ -50,20 +52,32 @@ type learningModuleInfo struct { } type learningGroupInfo struct { + Sdk []string `yaml:"sdk"` Id string `yaml:"id"` Name string `yaml:"name"` Content []string `yaml:"content"` } type learningUnitInfo struct { - Id string `yaml:"id"` - Name string `yaml:"name"` - TaskName string `yaml:"taskName"` - SolutionName string `yaml:"solutionName"` + Sdk []string `yaml:"sdk"` + Id string `yaml:"id"` + Name string `yaml:"name"` + TaskName string `yaml:"taskName"` + SolutionName string `yaml:"solutionName"` } func collectUnit(infopath string, ctx *sdkContext) (unit *tob.Unit, err error) { info := loadLearningUnitInfo(infopath) + + supported, err := isSupportedSdk(info.Sdk, ctx, infopath) + if err != nil { + return nil, err + } + if !supported { + log.Printf("Unit %v at %v not supported in %v\n", info.Id, infopath, ctx.sdk) + return nil, nil + } + log.Printf("Found Unit %v metadata at %v\n", info.Id, infopath) ctx.idsWatcher.CheckId(info.Id) builder := NewUnitBuilder(info, ctx.sdk) @@ -77,7 +91,11 @@ func collectUnit(infopath string, ctx *sdkContext) (unit *tob.Unit, err error) { return filepath.SkipDir case d.Name() == descriptionMd: - content, err := ioutil.ReadFile(path) + templateSource, err := os.ReadFile(path) + if err != nil { + return err + } + content, err := processTemplate(templateSource, ctx.sdk) if err != nil { return err } @@ -85,7 +103,7 @@ func collectUnit(infopath string, ctx *sdkContext) (unit *tob.Unit, err error) { // Here we rely on that WalkDir entries are lexically sorted case regexp.MustCompile(hintMdRegexp).MatchString(d.Name()): - content, err := ioutil.ReadFile(path) + content, err := os.ReadFile(path) if err != nil { return err } @@ -97,8 +115,34 @@ func collectUnit(infopath string, ctx *sdkContext) (unit *tob.Unit, err error) { return builder.Build(), err } +func processTemplate(source []byte, sdk tob.Sdk) ([]byte, error) { + t := template.New("") + t, err := t.Parse(string(source)) + if err != nil { + return nil, err + } + + var output bytes.Buffer + err = t.Execute(&output, struct{ Sdk tob.Sdk }{Sdk: sdk}) + if err != nil { + return nil, err + } + + return output.Bytes(), nil +} + func collectGroup(infopath string, ctx *sdkContext) (*tob.Group, error) { info := loadLearningGroupInfo(infopath) + + supported, err := isSupportedSdk(info.Sdk, ctx, infopath) + if err != nil { + return nil, err + } + if !supported { + log.Printf("Group %v at %v not supported in %v\n", info.Id, infopath, ctx.sdk) + return nil, nil + } + log.Printf("Found Group %v metadata at %v\n", info.Name, infopath) group := tob.Group{Id: info.Id, Title: info.Name} for _, item := range info.Content { @@ -106,18 +150,22 @@ func collectGroup(infopath string, ctx *sdkContext) (*tob.Group, error) { if err != nil { return &group, err } - group.Nodes = append(group.Nodes, node) + if node == nil { + continue + } + group.Nodes = append(group.Nodes, *node) } return &group, nil } // Collect node which is either a unit or a group. -func collectNode(rootpath string, ctx *sdkContext) (node tob.Node, err error) { +func collectNode(rootpath string, ctx *sdkContext) (*tob.Node, error) { files, err := os.ReadDir(rootpath) if err != nil { - return node, err + return nil, err } + node := &tob.Node{} for _, f := range files { switch f.Name() { case unitInfoYaml: @@ -127,46 +175,73 @@ func collectNode(rootpath string, ctx *sdkContext) (node tob.Node, err error) { node.Type = tob.NODE_GROUP node.Group, err = collectGroup(filepath.Join(rootpath, groupInfoYaml), ctx) } + if err != nil { + return nil, err + } } if node.Type == tob.NODE_UNDEFINED { return node, fmt.Errorf("node undefined at %v", rootpath) } + if node.Group == nil && node.Unit == nil { + return nil, err + } return node, err } -func collectModule(infopath string, ctx *sdkContext) (tob.Module, error) { +func collectModule(infopath string, ctx *sdkContext) (*tob.Module, error) { info := loadLearningModuleInfo(infopath) + + supported, err := isSupportedSdk(info.Sdk, ctx, infopath) + if err != nil { + return nil, err + } + if !supported { + log.Printf("Module %v at %v not supported in %v\n", info.Id, infopath, ctx.sdk) + return nil, nil + } + log.Printf("Found Module %v metadata at %v\n", info.Id, infopath) ctx.idsWatcher.CheckId(info.Id) module := tob.Module{Id: info.Id, Title: info.Name, Complexity: info.Complexity} for _, item := range info.Content { node, err := collectNode(filepath.Join(infopath, "..", item), ctx) if err != nil { - return tob.Module{}, err + return nil, err } - module.Nodes = append(module.Nodes, node) + if node == nil { + continue + } + module.Nodes = append(module.Nodes, *node) } - return module, nil + return &module, nil } -func collectSdk(infopath string) (tree tob.ContentTree, err error) { +func collectSdk(infopath string) (trees []tob.ContentTree, err error) { info := loadLearningPathInfo(infopath) - tree.Sdk = tob.ParseSdk(info.Sdk) - if tree.Sdk == tob.SDK_UNDEFINED { - return tree, fmt.Errorf("unknown SDK at %v", infopath) + + sdks, err := getSupportedSdk(info.Sdk, infopath) + if err != nil { + return trees, err } - log.Printf("Found Sdk %v metadata at %v\n", info.Sdk, infopath) - ctx := newSdkContext(tree.Sdk) - for _, item := range info.Content { - mod, err := collectModule(filepath.Join(infopath, "..", item, moduleInfoYaml), ctx) - if err != nil { - return tree, err + for sdk := range sdks { + tree := tob.ContentTree{} + tree.Sdk = sdk + log.Printf("Found Sdk %v metadata at %v\n", sdk, infopath) + ctx := newSdkContext(tree.Sdk) + for _, item := range info.Content { + mod, err := collectModule(filepath.Join(infopath, "..", item, moduleInfoYaml), ctx) + if err != nil { + return trees, err + } + if mod != nil { + tree.Modules = append(tree.Modules, *mod) + } } - tree.Modules = append(tree.Modules, mod) + trees = append(trees, tree) } - return tree, nil + return trees, nil } // Build a content tree for each SDK @@ -179,11 +254,12 @@ func CollectLearningTree(rootpath string) (trees []tob.ContentTree, err error) { return err } if d.Name() == contentInfoYaml { - tree, err := collectSdk(path) + + collected, err := collectSdk(path) if err != nil { return err } - trees = append(trees, tree) + trees = append(trees, collected...) // don't walk into SDK subtree (already done by collectSdk) return filepath.SkipDir } @@ -192,3 +268,25 @@ func CollectLearningTree(rootpath string) (trees []tob.ContentTree, err error) { return trees, err } + +func isSupportedSdk(sdks []string, ctx *sdkContext, infopath string) (ok bool, err error) { + sdk, err := getSupportedSdk(sdks, infopath) + if err != nil { + return false, err + } + _, ok = sdk[ctx.sdk] + return +} + +func getSupportedSdk(sdk []string, infopath string) (map[tob.Sdk]bool, error) { + sdks := make(map[tob.Sdk]bool) + for _, s := range sdk { + curSdk := tob.ParseSdk(s) + if curSdk == tob.SDK_UNDEFINED { + return sdks, fmt.Errorf("unknown SDK at %v", infopath) + } + sdks[curSdk] = true + } + + return sdks, nil +} diff --git a/learning/tour-of-beam/backend/internal/fs_content/load_test.go b/learning/tour-of-beam/backend/internal/fs_content/load_test.go index 8e50f6360b7a..1e3948a38fcd 100644 --- a/learning/tour-of-beam/backend/internal/fs_content/load_test.go +++ b/learning/tour-of-beam/backend/internal/fs_content/load_test.go @@ -90,3 +90,70 @@ func TestSample(t *testing.T) { }, }, trees[1]) } + +// TestTemplates test that templating engine is used correctly. +// The test itself is intended as an example of typical template usage. +func TestTemplateProcessing(t *testing.T) { + goSdkExpected := "Go SDK" + pythonSdkExpected := "Python SDK" + javaSdkExpected := "Java SDK" + scioSdkExpected := "SCIO SDK" + template := fmt.Sprintf( + "Using "+ + "{{if (eq .Sdk \"go\")}}%s{{end}}"+ + "{{if (eq .Sdk \"python\")}}%s{{end}}"+ + "{{if (eq .Sdk \"java\")}}%s{{end}}"+ + "{{if (eq .Sdk \"scio\")}}%s{{end}}", + goSdkExpected, pythonSdkExpected, javaSdkExpected, scioSdkExpected) + + goOrJavaExpected := "Text for Go or Java SDK" + templateAboutGoOrJava := fmt.Sprintf("{{if (eq .Sdk \"go\" \"java\")}}%s{{end}}", goOrJavaExpected) + + for _, s := range []struct { + sdk tob.Sdk + template string + expected string + }{ + { + sdk: tob.SDK_GO, + template: template, + expected: fmt.Sprintf("Using %s", goSdkExpected), + }, + { + sdk: tob.SDK_PYTHON, + template: template, + expected: fmt.Sprintf("Using %s", pythonSdkExpected), + }, + { + sdk: tob.SDK_JAVA, + template: template, + expected: fmt.Sprintf("Using %s", javaSdkExpected), + }, + { + sdk: tob.SDK_SCIO, + template: template, + expected: fmt.Sprintf("Using %s", scioSdkExpected), + }, + { + sdk: tob.SDK_GO, + template: templateAboutGoOrJava, + expected: goOrJavaExpected, + }, + { + sdk: tob.SDK_JAVA, + template: templateAboutGoOrJava, + expected: goOrJavaExpected, + }, + { + sdk: tob.SDK_SCIO, + template: templateAboutGoOrJava, + expected: "", + }, + } { + res, err := processTemplate([]byte(s.template), s.sdk) + if err != nil { + panic(err) + } + assert.Equal(t, s.expected, string(res)) + } +} diff --git a/learning/tour-of-beam/backend/internal/service/content.go b/learning/tour-of-beam/backend/internal/service/content.go index 4dffa6da7319..b62be44d961e 100644 --- a/learning/tour-of-beam/backend/internal/service/content.go +++ b/learning/tour-of-beam/backend/internal/service/content.go @@ -31,6 +31,7 @@ type IContent interface { GetUserProgress(ctx context.Context, sdk tob.Sdk, userId string) (tob.SdkProgress, error) SetUnitComplete(ctx context.Context, sdk tob.Sdk, unitId, uid string) error SaveUserCode(ctx context.Context, sdk tob.Sdk, unitId, uid string, userRequest tob.UserCodeRequest) error + DeleteProgress(ctx context.Context, uid string) error } type Svc struct { @@ -102,3 +103,7 @@ func (s *Svc) SaveUserCode(ctx context.Context, sdk tob.Sdk, unitId, uid string, return s.Repo.SaveUserSnippetId(ctx, sdk, unitId, uid, savePgSnippet) } + +func (s *Svc) DeleteProgress(ctx context.Context, uid string) error { + return s.Repo.DeleteProgress(ctx, uid) +} diff --git a/learning/tour-of-beam/backend/internal/storage/datastore.go b/learning/tour-of-beam/backend/internal/storage/datastore.go index 6f01332c50f6..4c95384a9a0b 100644 --- a/learning/tour-of-beam/backend/internal/storage/datastore.go +++ b/learning/tour-of-beam/backend/internal/storage/datastore.go @@ -373,5 +373,33 @@ func (d *DatastoreDb) SaveUserSnippetId( return d.upsertUnitProgress(ctx, sdk, unitId, uid, applyChanges) } +func (d *DatastoreDb) DeleteProgress(ctx context.Context, uid string) error { + userKey := pgNameKey(TbUserKind, uid, nil) + + _, err := d.Client.RunInTransaction(ctx, func(tx *datastore.Transaction) error { + query := datastore.NewQuery(TbUserProgressKind). + Namespace(PgNamespace). + Ancestor(userKey). + KeysOnly(). + Transaction(tx) + keys, err := d.Client.GetAll(ctx, query, nil) + if err != nil { + return fmt.Errorf("query tb_user_progress: %w", err) + } + log.Printf("deleting %v tb_user_progress entities\n", len(keys)) + if err := tx.DeleteMulti(keys); err != nil { + return fmt.Errorf("delete %v enitities tb_user_progress: %w", len(keys), err) + } + if err := tx.Delete(userKey); err != nil { + return fmt.Errorf("delete tb_user: %w", err) + } + return nil + }) + if err != nil { + return fmt.Errorf("failed to commit: %w", err) + } + return nil +} + // check if the interface is implemented. var _ Iface = &DatastoreDb{} diff --git a/learning/tour-of-beam/backend/internal/storage/iface.go b/learning/tour-of-beam/backend/internal/storage/iface.go index 1cfc6f631d5c..bd1c617dd76a 100644 --- a/learning/tour-of-beam/backend/internal/storage/iface.go +++ b/learning/tour-of-beam/backend/internal/storage/iface.go @@ -37,4 +37,6 @@ type Iface interface { ctx context.Context, sdk tob.Sdk, unitId, uid string, externalSave func(string) (string, error), ) error + + DeleteProgress(ctx context.Context, uid string) error } diff --git a/learning/tour-of-beam/backend/internal/storage/mock.go b/learning/tour-of-beam/backend/internal/storage/mock.go index d93e1e32e3fd..2a39c774bd2b 100644 --- a/learning/tour-of-beam/backend/internal/storage/mock.go +++ b/learning/tour-of-beam/backend/internal/storage/mock.go @@ -89,3 +89,7 @@ func (d *Mock) SaveUserSnippetId( ) error { return nil } + +func (d *Mock) DeleteProgress(ctx context.Context, uid string) error { + return nil +} diff --git a/learning/tour-of-beam/backend/middleware.go b/learning/tour-of-beam/backend/middleware.go index 71a43c6229f9..1f8c9f52fa80 100644 --- a/learning/tour-of-beam/backend/middleware.go +++ b/learning/tour-of-beam/backend/middleware.go @@ -18,6 +18,7 @@ package tob import ( + "context" "log" "net/http" @@ -31,6 +32,22 @@ const ( UNAUTHORIZED = "UNAUTHORIZED" ) +// this subtypes here to pass go-staticcheck +type _ContextKeyTypeSdk string +type _ContextKeyTypeUid string + +const ( + CONTEXT_KEY_SDK _ContextKeyTypeSdk = "sdk" + CONTEXT_KEY_UID _ContextKeyTypeUid = "uid" +) + +// helper to extract sdk from context +// set by ParseSdkParam middleware +// panics if key is not found +func getContextSdk(r *http.Request) tob.Sdk { + return r.Context().Value(CONTEXT_KEY_SDK).(tob.Sdk) +} + // Middleware-maker for setting a header // We also make this less generic: it works with HandlerFunc's // so that to be convertible to func(w http ResponseWriter, r *http.Request) @@ -94,11 +111,8 @@ func Common(method string) func(http.HandlerFunc) http.HandlerFunc { } } -// HandleFunc enriched with sdk. -type HandlerFuncWithSdk func(w http.ResponseWriter, r *http.Request, sdk tob.Sdk) - // middleware to parse sdk query param and pass it as additional handler param. -func ParseSdkParam(next HandlerFuncWithSdk) http.HandlerFunc { +func ParseSdkParam(next http.HandlerFunc) http.HandlerFunc { return func(w http.ResponseWriter, r *http.Request) { sdkStr := r.URL.Query().Get("sdk") sdk := tob.ParseSdk(sdkStr) @@ -109,6 +123,7 @@ func ParseSdkParam(next HandlerFuncWithSdk) http.HandlerFunc { return } - next(w, r, sdk) + ctx := context.WithValue(r.Context(), CONTEXT_KEY_SDK, sdk) + next(w, r.WithContext(ctx)) } } diff --git a/learning/tour-of-beam/backend/samples/learning-content/java/content-info.yaml b/learning/tour-of-beam/backend/samples/learning-content/content-info.yaml similarity index 57% rename from learning/tour-of-beam/backend/samples/learning-content/java/content-info.yaml rename to learning/tour-of-beam/backend/samples/learning-content/content-info.yaml index 0d6a17105315..f26734290c8f 100644 --- a/learning/tour-of-beam/backend/samples/learning-content/java/content-info.yaml +++ b/learning/tour-of-beam/backend/samples/learning-content/content-info.yaml @@ -1,4 +1,6 @@ -sdk: Java +sdk: + - Java + - Python content: - module 1 - module 2 \ No newline at end of file diff --git a/learning/tour-of-beam/backend/samples/learning-content/python/module 1/group/group-info.yaml b/learning/tour-of-beam/backend/samples/learning-content/module 1/group/group-info.yaml similarity index 84% rename from learning/tour-of-beam/backend/samples/learning-content/python/module 1/group/group-info.yaml rename to learning/tour-of-beam/backend/samples/learning-content/module 1/group/group-info.yaml index 95c810a7b628..48d4297eddcb 100644 --- a/learning/tour-of-beam/backend/samples/learning-content/python/module 1/group/group-info.yaml +++ b/learning/tour-of-beam/backend/samples/learning-content/module 1/group/group-info.yaml @@ -1,3 +1,5 @@ +sdk: + - Python id: group1 name: The Group complexity: BASIC diff --git a/learning/tour-of-beam/backend/samples/learning-content/java/module 1/unit-challenge/description.md b/learning/tour-of-beam/backend/samples/learning-content/module 1/group/unit-challenge/description.md similarity index 100% rename from learning/tour-of-beam/backend/samples/learning-content/java/module 1/unit-challenge/description.md rename to learning/tour-of-beam/backend/samples/learning-content/module 1/group/unit-challenge/description.md diff --git a/learning/tour-of-beam/backend/samples/learning-content/java/module 1/unit-challenge/hint1.md b/learning/tour-of-beam/backend/samples/learning-content/module 1/group/unit-challenge/hint1.md similarity index 100% rename from learning/tour-of-beam/backend/samples/learning-content/java/module 1/unit-challenge/hint1.md rename to learning/tour-of-beam/backend/samples/learning-content/module 1/group/unit-challenge/hint1.md diff --git a/learning/tour-of-beam/backend/samples/learning-content/java/module 1/unit-challenge/hint2.md b/learning/tour-of-beam/backend/samples/learning-content/module 1/group/unit-challenge/hint2.md similarity index 100% rename from learning/tour-of-beam/backend/samples/learning-content/java/module 1/unit-challenge/hint2.md rename to learning/tour-of-beam/backend/samples/learning-content/module 1/group/unit-challenge/hint2.md diff --git a/learning/tour-of-beam/backend/samples/learning-content/java/module 1/unit-challenge/unit-info.yaml b/learning/tour-of-beam/backend/samples/learning-content/module 1/group/unit-challenge/unit-info.yaml similarity index 87% rename from learning/tour-of-beam/backend/samples/learning-content/java/module 1/unit-challenge/unit-info.yaml rename to learning/tour-of-beam/backend/samples/learning-content/module 1/group/unit-challenge/unit-info.yaml index e20b873a3e05..32ab267ce716 100644 --- a/learning/tour-of-beam/backend/samples/learning-content/java/module 1/unit-challenge/unit-info.yaml +++ b/learning/tour-of-beam/backend/samples/learning-content/module 1/group/unit-challenge/unit-info.yaml @@ -1,3 +1,5 @@ +sdk: + - Python id: challenge1 name: Challenge Name complexity: BASIC diff --git a/learning/tour-of-beam/backend/samples/learning-content/python/module 1/group/unit-example/unit-info.yaml b/learning/tour-of-beam/backend/samples/learning-content/module 1/group/unit-example/unit-info.yaml similarity index 78% rename from learning/tour-of-beam/backend/samples/learning-content/python/module 1/group/unit-example/unit-info.yaml rename to learning/tour-of-beam/backend/samples/learning-content/module 1/group/unit-example/unit-info.yaml index ed0c81854cb0..4b544ebb6094 100644 --- a/learning/tour-of-beam/backend/samples/learning-content/python/module 1/group/unit-example/unit-info.yaml +++ b/learning/tour-of-beam/backend/samples/learning-content/module 1/group/unit-example/unit-info.yaml @@ -1,3 +1,5 @@ +sdk: + - Python id: example1 name: Example Unit Name taskName: ExampleName \ No newline at end of file diff --git a/learning/tour-of-beam/backend/samples/learning-content/python/module 1/intro-unit/unit-info.yaml b/learning/tour-of-beam/backend/samples/learning-content/module 1/intro-unit/unit-info.yaml similarity index 79% rename from learning/tour-of-beam/backend/samples/learning-content/python/module 1/intro-unit/unit-info.yaml rename to learning/tour-of-beam/backend/samples/learning-content/module 1/intro-unit/unit-info.yaml index ee96ce47e255..6f748fdc2ce1 100644 --- a/learning/tour-of-beam/backend/samples/learning-content/python/module 1/intro-unit/unit-info.yaml +++ b/learning/tour-of-beam/backend/samples/learning-content/module 1/intro-unit/unit-info.yaml @@ -1,3 +1,5 @@ +sdk: + - Python id: intro-unit name: Example Unit Name taskName: ExampleName \ No newline at end of file diff --git a/learning/tour-of-beam/backend/samples/learning-content/java/module 1/module-info.yaml b/learning/tour-of-beam/backend/samples/learning-content/module 1/module-info.yaml similarity index 65% rename from learning/tour-of-beam/backend/samples/learning-content/java/module 1/module-info.yaml rename to learning/tour-of-beam/backend/samples/learning-content/module 1/module-info.yaml index 04384cb56b31..a5d902bb2a51 100644 --- a/learning/tour-of-beam/backend/samples/learning-content/java/module 1/module-info.yaml +++ b/learning/tour-of-beam/backend/samples/learning-content/module 1/module-info.yaml @@ -1,7 +1,13 @@ +sdk: + - Java + - Python id: module1 name: Module One complexity: BASIC content: - unit-example - unit-challenge +- intro-unit +- group + diff --git a/learning/tour-of-beam/backend/samples/learning-content/java/module 2/unit-challenge/description.md b/learning/tour-of-beam/backend/samples/learning-content/module 1/unit-challenge/description.md similarity index 100% rename from learning/tour-of-beam/backend/samples/learning-content/java/module 2/unit-challenge/description.md rename to learning/tour-of-beam/backend/samples/learning-content/module 1/unit-challenge/description.md diff --git a/learning/tour-of-beam/backend/samples/learning-content/java/module 2/unit-challenge/hint1.md b/learning/tour-of-beam/backend/samples/learning-content/module 1/unit-challenge/hint1.md similarity index 100% rename from learning/tour-of-beam/backend/samples/learning-content/java/module 2/unit-challenge/hint1.md rename to learning/tour-of-beam/backend/samples/learning-content/module 1/unit-challenge/hint1.md diff --git a/learning/tour-of-beam/backend/samples/learning-content/java/module 2/unit-challenge/hint2.md b/learning/tour-of-beam/backend/samples/learning-content/module 1/unit-challenge/hint2.md similarity index 100% rename from learning/tour-of-beam/backend/samples/learning-content/java/module 2/unit-challenge/hint2.md rename to learning/tour-of-beam/backend/samples/learning-content/module 1/unit-challenge/hint2.md diff --git a/learning/tour-of-beam/backend/samples/learning-content/python/module 1/group/unit-challenge/unit-info.yaml b/learning/tour-of-beam/backend/samples/learning-content/module 1/unit-challenge/unit-info.yaml similarity index 88% rename from learning/tour-of-beam/backend/samples/learning-content/python/module 1/group/unit-challenge/unit-info.yaml rename to learning/tour-of-beam/backend/samples/learning-content/module 1/unit-challenge/unit-info.yaml index e20b873a3e05..47a7be9c355f 100644 --- a/learning/tour-of-beam/backend/samples/learning-content/python/module 1/group/unit-challenge/unit-info.yaml +++ b/learning/tour-of-beam/backend/samples/learning-content/module 1/unit-challenge/unit-info.yaml @@ -1,3 +1,5 @@ +sdk: + - Java id: challenge1 name: Challenge Name complexity: BASIC diff --git a/learning/tour-of-beam/backend/samples/learning-content/java/module 1/unit-example/unit-info.yaml b/learning/tour-of-beam/backend/samples/learning-content/module 1/unit-example/unit-info.yaml similarity index 80% rename from learning/tour-of-beam/backend/samples/learning-content/java/module 1/unit-example/unit-info.yaml rename to learning/tour-of-beam/backend/samples/learning-content/module 1/unit-example/unit-info.yaml index ed0c81854cb0..fec45e41007a 100644 --- a/learning/tour-of-beam/backend/samples/learning-content/java/module 1/unit-example/unit-info.yaml +++ b/learning/tour-of-beam/backend/samples/learning-content/module 1/unit-example/unit-info.yaml @@ -1,3 +1,5 @@ +sdk: + - Java id: example1 name: Example Unit Name taskName: ExampleName \ No newline at end of file diff --git a/learning/tour-of-beam/backend/samples/learning-content/java/module 2/module-info.yaml b/learning/tour-of-beam/backend/samples/learning-content/module 2/module-info.yaml similarity index 86% rename from learning/tour-of-beam/backend/samples/learning-content/java/module 2/module-info.yaml rename to learning/tour-of-beam/backend/samples/learning-content/module 2/module-info.yaml index e152c45d22e1..9452b44d8168 100644 --- a/learning/tour-of-beam/backend/samples/learning-content/java/module 2/module-info.yaml +++ b/learning/tour-of-beam/backend/samples/learning-content/module 2/module-info.yaml @@ -1,3 +1,5 @@ +sdk: + - Java id: module2 name: Module Two complexity: MEDIUM diff --git a/learning/tour-of-beam/backend/samples/learning-content/python/module 1/group/unit-challenge/description.md b/learning/tour-of-beam/backend/samples/learning-content/module 2/unit-challenge/description.md similarity index 100% rename from learning/tour-of-beam/backend/samples/learning-content/python/module 1/group/unit-challenge/description.md rename to learning/tour-of-beam/backend/samples/learning-content/module 2/unit-challenge/description.md diff --git a/learning/tour-of-beam/backend/samples/learning-content/python/module 1/group/unit-challenge/hint1.md b/learning/tour-of-beam/backend/samples/learning-content/module 2/unit-challenge/hint1.md similarity index 100% rename from learning/tour-of-beam/backend/samples/learning-content/python/module 1/group/unit-challenge/hint1.md rename to learning/tour-of-beam/backend/samples/learning-content/module 2/unit-challenge/hint1.md diff --git a/learning/tour-of-beam/backend/samples/learning-content/python/module 1/group/unit-challenge/hint2.md b/learning/tour-of-beam/backend/samples/learning-content/module 2/unit-challenge/hint2.md similarity index 100% rename from learning/tour-of-beam/backend/samples/learning-content/python/module 1/group/unit-challenge/hint2.md rename to learning/tour-of-beam/backend/samples/learning-content/module 2/unit-challenge/hint2.md diff --git a/learning/tour-of-beam/backend/samples/learning-content/java/module 2/unit-challenge/unit-info.yaml b/learning/tour-of-beam/backend/samples/learning-content/module 2/unit-challenge/unit-info.yaml similarity index 88% rename from learning/tour-of-beam/backend/samples/learning-content/java/module 2/unit-challenge/unit-info.yaml rename to learning/tour-of-beam/backend/samples/learning-content/module 2/unit-challenge/unit-info.yaml index ac65e8357d4c..4f5d7d04f6d2 100644 --- a/learning/tour-of-beam/backend/samples/learning-content/java/module 2/unit-challenge/unit-info.yaml +++ b/learning/tour-of-beam/backend/samples/learning-content/module 2/unit-challenge/unit-info.yaml @@ -1,3 +1,5 @@ +sdk: + - Java id: challenge21 name: Challenge Name complexity: BASIC diff --git a/learning/tour-of-beam/backend/samples/learning-content/java/module 2/unit-example/unit-info.yaml b/learning/tour-of-beam/backend/samples/learning-content/module 2/unit-example/unit-info.yaml similarity index 80% rename from learning/tour-of-beam/backend/samples/learning-content/java/module 2/unit-example/unit-info.yaml rename to learning/tour-of-beam/backend/samples/learning-content/module 2/unit-example/unit-info.yaml index 674a6da71941..dfd62f9033fb 100644 --- a/learning/tour-of-beam/backend/samples/learning-content/java/module 2/unit-example/unit-info.yaml +++ b/learning/tour-of-beam/backend/samples/learning-content/module 2/unit-example/unit-info.yaml @@ -1,3 +1,5 @@ +sdk: + - Java id: example21 name: Example Unit Name taskName: ExampleName \ No newline at end of file diff --git a/learning/tour-of-beam/backend/samples/learning-content/python/content-info.yaml b/learning/tour-of-beam/backend/samples/learning-content/python/content-info.yaml deleted file mode 100644 index ee9d329b5030..000000000000 --- a/learning/tour-of-beam/backend/samples/learning-content/python/content-info.yaml +++ /dev/null @@ -1,3 +0,0 @@ -sdk: Python -content: - - module 1 diff --git a/learning/tour-of-beam/backend/samples/learning-content/python/module 1/module-info.yaml b/learning/tour-of-beam/backend/samples/learning-content/python/module 1/module-info.yaml deleted file mode 100644 index 024d12fdc69c..000000000000 --- a/learning/tour-of-beam/backend/samples/learning-content/python/module 1/module-info.yaml +++ /dev/null @@ -1,7 +0,0 @@ -id: module1 -name: Module One -complexity: BASIC -content: -- intro-unit -- group - diff --git a/learning/tour-of-beam/frontend/README.md b/learning/tour-of-beam/frontend/README.md index 2e27a05ad163..cba80719dfec 100644 --- a/learning/tour-of-beam/frontend/README.md +++ b/learning/tour-of-beam/frontend/README.md @@ -17,47 +17,67 @@ under the License. --> - # Tour of Beam - These are the main sources of the Tour of Beam website. +# Tour of Beam - # About +These are the main sources of the Tour of Beam website. + +# About ## Getting started -Running, debugging, and testing all require this first step that fetches -dependencies and generates code: + +This project relies on generated code for some functionality: +deserializers, test mocks, constants for asset files, +extracted Beam symbols for the editor, etc. + +All generated files are version-controlled, so after checkout the project is immediately runnable. +However, after changes you may need to re-run code generation: ```bash -cd ../../../playground/frontend/playground_components -flutter pub get -flutter pub run build_runner build -cd ../../../learning/tour-of-beam/frontend -flutter pub get -flutter pub run build_runner build +cd beam +./gradlew :playground:frontend:playground_components:generateCode +cd learning/tour-of-beam/frontend +flutter pub run build_runner build --delete-conflicting-outputs ``` ### Run The following command is used to build and serve the frontend app locally: -`$ flutter run -d chrome` +```bash +flutter run -d chrome +``` + +### Backend Selection + +To change the Google Project that is used as the backend: + +1. Update Firebase configuration: + https://firebase.google.com/docs/flutter/setup?platform=web + +2. In `/lib/config.dart`, update: + 1. Google Project ID and region. + 2. Playground's backend URLs. + +# Deployment + +# Tests +Install ChromeDriver to run integration tests in a browser: https://docs.flutter.dev/testing/integration-tests#running-in-a-browser +Run integration tests: +flutter drive \ + --driver=test_driver/integration_test.dart \ + --target=integration_test/counter_test.dart \ + -d web-server - # Deployment +# Packages - # Tests - Install ChromeDriver to run integration tests in a browser: https://docs.flutter.dev/testing/integration-tests#running-in-a-browser - Run integration tests: - flutter drive \ - --driver=test_driver/integration_test.dart \ - --target=integration_test/counter_test.dart \ - -d web-server +`flutter pub get` - # Packages - `flutter pub get` +# Contribution guide - # Contribution guide - For checks: `./gradlew rat` +For checks: `./gradlew rat` +Exclusions for file checks can be added in the Tour of Beam section of this file: `beam/build.gradle.kts` - # Additional resources +# Additional resources - # Troubleshooting +# Troubleshooting diff --git a/learning/tour-of-beam/frontend/assets/svg/hint.svg b/learning/tour-of-beam/frontend/assets/svg/hint.svg new file mode 100644 index 000000000000..6a9605a4d29e --- /dev/null +++ b/learning/tour-of-beam/frontend/assets/svg/hint.svg @@ -0,0 +1,19 @@ + + + + + \ No newline at end of file diff --git a/learning/tour-of-beam/frontend/assets/svg/solution.svg b/learning/tour-of-beam/frontend/assets/svg/solution.svg new file mode 100644 index 000000000000..4ee5e162ae32 --- /dev/null +++ b/learning/tour-of-beam/frontend/assets/svg/solution.svg @@ -0,0 +1,20 @@ + + + + + + \ No newline at end of file diff --git a/learning/tour-of-beam/frontend/assets/translations/en.yaml b/learning/tour-of-beam/frontend/assets/translations/en.yaml index 8dff25f4f91e..e1a9530fe314 100644 --- a/learning/tour-of-beam/frontend/assets/translations/en.yaml +++ b/learning/tour-of-beam/frontend/assets/translations/en.yaml @@ -21,11 +21,13 @@ ui: continueGitHub: Continue with GitHub continueGoogle: Continue with Google copyright: © The Apache Software Foundation + hint: Hint deleteAccount: Delete my account privacyPolicy: Privacy Policy reportIssue: Report Issue in GitHub signIn: Sign in signOut: Sign out + solution: Solution toWebsite: To Apache Beam website pages: diff --git a/learning/tour-of-beam/frontend/build.gradle.kts b/learning/tour-of-beam/frontend/build.gradle.kts new file mode 100644 index 000000000000..31bf46e59ffe --- /dev/null +++ b/learning/tour-of-beam/frontend/build.gradle.kts @@ -0,0 +1,156 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * License); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +evaluationDependsOn(":playground:frontend:playground_components") + +tasks.register("generate") { + dependsOn(":playground:frontend:playground_components:generate") + + dependsOn("generateCode") + + group = "build" + description = "Generates all generated files." +} + +tasks.register("analyze") { + dependsOn(":playground:frontend:playground_components:generateCode") + dependsOn("generateCode") + + group = "verification" + description = "Analyze dart code" + + doLast { + exec { + executable("dart") + args("analyze", "lib", "test") + } + } +} + +tasks.register("pubGet") { + group = "build" + description = "Get packages for the frontend project" + doLast { + exec { + executable("flutter") + args("pub", "get") + } + } +} + +tasks.register("format") { + group = "build" + description = "Idiomatically format Dart source code" + doLast { + exec { + executable("dart") + args("format", "lib", "test") + } + } +} + +tasks.register("run") { + group = "application" + description = "Run application on Google Chrome" + + doLast { + exec { + executable("flutter") + args("run", "-d", "chrome") + } + } +} + +tasks.register("test") { + dependsOn(":playground:frontend:playground_components:generateCode") + dependsOn("generateCode") + + group = "verification" + description = "flutter test" + + doLast { + exec { + executable("flutter") + args("test") + } + } +} + +tasks.register("precommit") { + dependsOn(":playground:frontend:playground_components:precommit") + + dependsOn("analyze") + dependsOn("test") +} + +tasks.register("generateCode") { + dependsOn(":playground:frontend:playground_components:generateCode") + + dependsOn("cleanFlutter") + dependsOn("pubGet") + + group = "build" + description = "Generate code" + + doLast { + exec { + executable("flutter") + args("pub", "run", "build_runner", "build", "--delete-conflicting-outputs") + } + } +} + +tasks.register("cleanFlutter") { + group = "build" + description = "Remove build artifacts" + + doLast { + exec { + executable("flutter") + args("clean") + } + } +} + +tasks.register("cleanGenerated") { + dependsOn(":playground:frontend:playground_components:cleanGenerated") + + group = "build" + description = "Remove build artifacts" + + doLast { + println("Deleting:") + + deleteFilesByRegExp(".*\\.g\\.dart\$") + deleteFilesByRegExp(".*\\.gen\\.dart\$") + deleteFilesByRegExp(".*\\.mocks\\.dart\$") + } +} + +val deleteFilesByRegExp: (String) -> Unit = { re -> + // Prints file names. + exec { + executable("find") + args("assets", "lib", "test", "-regex", re) + } + // Actually deletes them. + exec { + executable("find") + args("assets", "lib", "test", "-regex", re, "-delete") + } +} diff --git a/learning/tour-of-beam/frontend/lib/assets/assets.gen.dart b/learning/tour-of-beam/frontend/lib/assets/assets.gen.dart index c6757282352d..924b1e38993b 100644 --- a/learning/tour-of-beam/frontend/lib/assets/assets.gen.dart +++ b/learning/tour-of-beam/frontend/lib/assets/assets.gen.dart @@ -34,6 +34,9 @@ class $AssetsSvgGen { /// File path: assets/svg/google-logo.svg String get googleLogo => 'assets/svg/google-logo.svg'; + /// File path: assets/svg/hint.svg + String get hint => 'assets/svg/hint.svg'; + /// File path: assets/svg/profile-about.svg String get profileAbout => 'assets/svg/profile-about.svg'; @@ -43,6 +46,9 @@ class $AssetsSvgGen { /// File path: assets/svg/profile-logout.svg String get profileLogout => 'assets/svg/profile-logout.svg'; + /// File path: assets/svg/solution.svg + String get solution => 'assets/svg/solution.svg'; + /// File path: assets/svg/unit-progress-0.svg String get unitProgress0 => 'assets/svg/unit-progress-0.svg'; diff --git a/learning/tour-of-beam/frontend/lib/auth/notifier.dart b/learning/tour-of-beam/frontend/lib/auth/notifier.dart new file mode 100644 index 000000000000..2eb7be819f39 --- /dev/null +++ b/learning/tour-of-beam/frontend/lib/auth/notifier.dart @@ -0,0 +1,45 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +import 'dart:async'; + +import 'package:firebase_auth/firebase_auth.dart'; +import 'package:firebase_auth_platform_interface/firebase_auth_platform_interface.dart'; +import 'package:flutter/material.dart'; + +class AuthNotifier extends ChangeNotifier { + AuthNotifier() { + FirebaseAuth.instance.authStateChanges().listen((user) { + notifyListeners(); + }); + } + + bool get isAuthenticated => FirebaseAuth.instance.currentUser != null; + + Future getToken() async { + return await FirebaseAuth.instance.currentUser?.getIdToken(); + } + + Future logIn(AuthProvider authProvider) async { + await FirebaseAuth.instance.signInWithPopup(authProvider); + } + + Future logOut() async { + await FirebaseAuth.instance.signOut(); + } +} diff --git a/playground/frontend/playground_components/lib/src/util/replace_incorrect_symbols.dart b/learning/tour-of-beam/frontend/lib/cache/cache.dart similarity index 73% rename from playground/frontend/playground_components/lib/src/util/replace_incorrect_symbols.dart rename to learning/tour-of-beam/frontend/lib/cache/cache.dart index 69a0bb684009..c11e2790c422 100644 --- a/playground/frontend/playground_components/lib/src/util/replace_incorrect_symbols.dart +++ b/learning/tour-of-beam/frontend/lib/cache/cache.dart @@ -16,9 +16,13 @@ * limitations under the License. */ -// TODO(alexeyinkin): Move to the editor, https://github.com/apache/beam/issues/23079 -/// sometimes code contains incorrect symbols (like tab which doesn't look properly), -/// replace it with correct ones -String replaceIncorrectSymbols(String output) { - return output.replaceAll('\t', ' '); +import 'package:flutter/material.dart'; + +import '../repositories/client/client.dart'; + +/// A base class for caching entities from network requests. +abstract class Cache extends ChangeNotifier { + final TobClient client; + + Cache({required this.client}); } diff --git a/learning/tour-of-beam/frontend/lib/cache/content_tree.dart b/learning/tour-of-beam/frontend/lib/cache/content_tree.dart index 296b9a84238c..d67d0b891e8f 100644 --- a/learning/tour-of-beam/frontend/lib/cache/content_tree.dart +++ b/learning/tour-of-beam/frontend/lib/cache/content_tree.dart @@ -18,24 +18,19 @@ import 'dart:async'; -import 'package:flutter/widgets.dart'; - import '../models/content_tree.dart'; -import '../repositories/client/client.dart'; +import 'cache.dart'; -class ContentTreeCache extends ChangeNotifier { - final TobClient client; +class ContentTreeCache extends Cache { + ContentTreeCache({ + required super.client, + }); final _treesBySdkId = {}; final _futuresBySdkId = >{}; - ContentTreeCache({ - required this.client, - }); - ContentTreeModel? getContentTree(String sdkId) { - final future = _futuresBySdkId[sdkId]; - if (future == null) { + if (!_futuresBySdkId.containsKey(sdkId)) { unawaited(_loadContentTree(sdkId)); } diff --git a/learning/tour-of-beam/frontend/lib/cache/sdk.dart b/learning/tour-of-beam/frontend/lib/cache/sdk.dart index 068fda06b765..8b26a3c1805b 100644 --- a/learning/tour-of-beam/frontend/lib/cache/sdk.dart +++ b/learning/tour-of-beam/frontend/lib/cache/sdk.dart @@ -18,22 +18,19 @@ import 'dart:async'; -import 'package:flutter/widgets.dart'; import 'package:playground_components/playground_components.dart'; -import '../repositories/client/client.dart'; import '../repositories/models/get_sdks_response.dart'; +import 'cache.dart'; -class SdkCache extends ChangeNotifier { - final TobClient client; +class SdkCache extends Cache { + SdkCache({ + required super.client, + }); final _sdks = []; Future? _future; - SdkCache({ - required this.client, - }); - List getSdks() { if (_future == null) { unawaited(_loadSdks()); diff --git a/learning/tour-of-beam/frontend/lib/cache/unit_content.dart b/learning/tour-of-beam/frontend/lib/cache/unit_content.dart index 25d703064808..d8499a641e27 100644 --- a/learning/tour-of-beam/frontend/lib/cache/unit_content.dart +++ b/learning/tour-of-beam/frontend/lib/cache/unit_content.dart @@ -18,21 +18,17 @@ import 'dart:async'; -import 'package:flutter/widgets.dart'; - import '../models/unit_content.dart'; -import '../repositories/client/client.dart'; +import 'cache.dart'; -class UnitContentCache extends ChangeNotifier { - final TobClient client; +class UnitContentCache extends Cache { + UnitContentCache({ + required super.client, + }); final _unitContents = >{}; final _futures = >>{}; - UnitContentCache({ - required this.client, - }); - UnitContentModel? getUnitContent(String sdkId, String unitId) { final future = _futures[sdkId]?[unitId]; if (future == null) { diff --git a/learning/tour-of-beam/frontend/lib/cache/unit_progress.dart b/learning/tour-of-beam/frontend/lib/cache/unit_progress.dart new file mode 100644 index 000000000000..5649e7464674 --- /dev/null +++ b/learning/tour-of-beam/frontend/lib/cache/unit_progress.dart @@ -0,0 +1,103 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +import 'dart:async'; + +import 'package:get_it/get_it.dart'; + +import '../auth/notifier.dart'; +import '../enums/unit_completion.dart'; +import '../repositories/models/get_user_progress_response.dart'; +import '../state.dart'; +import 'cache.dart'; + +class UnitProgressCache extends Cache { + UnitProgressCache({required super.client}); + + final _completedUnitIds = {}; + final _updatingUnitIds = {}; + Future? _future; + + Set getUpdatingUnitIds() => _updatingUnitIds; + + void addUpdatingUnitId(String unitId) { + _updatingUnitIds.add(unitId); + notifyListeners(); + } + + void clearUpdatingUnitId(String unitId) { + _updatingUnitIds.remove(unitId); + notifyListeners(); + } + + bool canCompleteUnit(String? unitId) { + if (unitId == null) { + return false; + } + return _getUnitCompletion(unitId) == UnitCompletion.uncompleted; + } + + UnitCompletion _getUnitCompletion(String unitId) { + final authNotifier = GetIt.instance.get(); + if (!authNotifier.isAuthenticated) { + return UnitCompletion.unauthenticated; + } + if (_updatingUnitIds.contains(unitId)) { + return UnitCompletion.updating; + } + if (isUnitCompleted(unitId)) { + return UnitCompletion.completed; + } + return UnitCompletion.uncompleted; + } + + bool isUnitCompleted(String? unitId) { + return getCompletedUnits().contains(unitId); + } + + Future updateCompletedUnits() async { + final sdkId = GetIt.instance.get().sdkId; + if (sdkId != null) { + await _loadCompletedUnits(sdkId); + } + } + + Set getCompletedUnits() { + if (_future == null) { + unawaited(updateCompletedUnits()); + } + + return _completedUnitIds; + } + + Future _loadCompletedUnits(String sdkId) async { + _future = client.getUserProgress(sdkId); + final result = await _future; + + _completedUnitIds.clear(); + if (result != null) { + for (final unitProgress in result.units) { + if (unitProgress.isCompleted) { + _completedUnitIds.add(unitProgress.id); + } + } + } + + notifyListeners(); + } +} diff --git a/learning/tour-of-beam/frontend/lib/components/builders/content_tree.dart b/learning/tour-of-beam/frontend/lib/components/builders/content_tree.dart index 1ee9a3b87d01..8ef706ead45a 100644 --- a/learning/tour-of-beam/frontend/lib/components/builders/content_tree.dart +++ b/learning/tour-of-beam/frontend/lib/components/builders/content_tree.dart @@ -33,13 +33,13 @@ class ContentTreeBuilder extends StatelessWidget { @override Widget build(BuildContext context) { - final cache = GetIt.instance.get(); + final contentTreeCache = GetIt.instance.get(); return AnimatedBuilder( - animation: cache, + animation: contentTreeCache, builder: (context, child) => builder( context, - cache.getContentTree(sdkId), + contentTreeCache.getContentTree(sdkId), child, ), ); diff --git a/learning/tour-of-beam/frontend/lib/components/builders/sdks.dart b/learning/tour-of-beam/frontend/lib/components/builders/sdks.dart index 8aeea1461300..e6a5c6f97d35 100644 --- a/learning/tour-of-beam/frontend/lib/components/builders/sdks.dart +++ b/learning/tour-of-beam/frontend/lib/components/builders/sdks.dart @@ -31,11 +31,11 @@ class SdksBuilder extends StatelessWidget { @override Widget build(BuildContext context) { - final cache = GetIt.instance.get(); + final sdkCache = GetIt.instance.get(); return AnimatedBuilder( - animation: cache, - builder: (context, child) => builder(context, cache.getSdks(), child), + animation: sdkCache, + builder: (context, child) => builder(context, sdkCache.getSdks(), child), ); } } diff --git a/learning/tour-of-beam/frontend/lib/components/footer.dart b/learning/tour-of-beam/frontend/lib/components/footer.dart index e801836bb898..08af18188f04 100644 --- a/learning/tour-of-beam/frontend/lib/components/footer.dart +++ b/learning/tour-of-beam/frontend/lib/components/footer.dart @@ -16,6 +16,8 @@ * limitations under the License. */ +import 'dart:async'; + import 'package:easy_localization/easy_localization.dart'; import 'package:flutter/material.dart'; import 'package:playground_components/playground_components.dart'; @@ -90,7 +92,7 @@ class _ReportIssueButton extends StatelessWidget { return TextButton( style: _linkButtonStyle, onPressed: () { - launchUrl(Uri.parse(BeamLinks.reportIssue)); + unawaited(launchUrl(Uri.parse(BeamLinks.reportIssue))); }, child: const Text('ui.reportIssue').tr(), ); @@ -105,7 +107,7 @@ class _PrivacyPolicyButton extends StatelessWidget { return TextButton( style: _linkButtonStyle, onPressed: () { - launchUrl(Uri.parse(BeamLinks.privacyPolicy)); + unawaited(launchUrl(Uri.parse(BeamLinks.privacyPolicy))); }, child: const Text('ui.privacyPolicy').tr(), ); diff --git a/learning/tour-of-beam/frontend/lib/components/login/login_button.dart b/learning/tour-of-beam/frontend/lib/components/login/button.dart similarity index 71% rename from learning/tour-of-beam/frontend/lib/components/login/login_button.dart rename to learning/tour-of-beam/frontend/lib/components/login/button.dart index 36d96faffe5a..2fb2038d6bfd 100644 --- a/learning/tour-of-beam/frontend/lib/components/login/login_button.dart +++ b/learning/tour-of-beam/frontend/lib/components/login/button.dart @@ -20,7 +20,7 @@ import 'package:easy_localization/easy_localization.dart'; import 'package:flutter/material.dart'; import 'package:playground_components/playground_components.dart'; -import 'login_content.dart'; +import 'content.dart'; class LoginButton extends StatelessWidget { const LoginButton(); @@ -29,26 +29,18 @@ class LoginButton extends StatelessWidget { Widget build(BuildContext context) { return TextButton( onPressed: () { - _openOverlay(context); + final closeNotifier = PublicNotifier(); + openOverlay( + context: context, + closeNotifier: closeNotifier, + positioned: Positioned( + right: BeamSizes.size10, + top: BeamSizes.appBarHeight, + child: LoginContent(onLoggedIn: closeNotifier.notifyPublic), + ), + ); }, child: const Text('ui.signIn').tr(), ); } - - void _openOverlay(BuildContext context) { - OverlayEntry? overlay; - overlay = OverlayEntry( - builder: (context) => DismissibleOverlay( - close: () { - overlay?.remove(); - }, - child: const Positioned( - right: BeamSizes.size10, - top: BeamSizes.appBarHeight, - child: LoginContent(), - ), - ), - ); - Overlay.of(context)?.insert(overlay); - } } diff --git a/learning/tour-of-beam/frontend/lib/components/login/login_content.dart b/learning/tour-of-beam/frontend/lib/components/login/content.dart similarity index 76% rename from learning/tour-of-beam/frontend/lib/components/login/login_content.dart rename to learning/tour-of-beam/frontend/lib/components/login/content.dart index aabdd026a511..ae1fe80fa028 100644 --- a/learning/tour-of-beam/frontend/lib/components/login/login_content.dart +++ b/learning/tour-of-beam/frontend/lib/components/login/content.dart @@ -17,51 +17,47 @@ */ import 'package:easy_localization/easy_localization.dart'; +import 'package:firebase_auth_platform_interface/firebase_auth_platform_interface.dart'; import 'package:flutter/material.dart'; import 'package:flutter_svg/svg.dart'; +import 'package:get_it/get_it.dart'; import 'package:playground_components/playground_components.dart'; import '../../assets/assets.gen.dart'; +import '../../auth/notifier.dart'; import '../../constants/sizes.dart'; class LoginContent extends StatelessWidget { - const LoginContent(); + final VoidCallback onLoggedIn; - @override - Widget build(BuildContext context) { - return _Body( - child: Column( - children: [ - Text( - 'ui.signIn', - style: Theme.of(context).textTheme.titleLarge, - ).tr(), - const SizedBox(height: BeamSizes.size10), - const Text( - 'dialogs.signInIf', - textAlign: TextAlign.center, - ).tr(), - const _Divider(), - const _BrandedLoginButtons(), - ], - ), - ); - } -} - -class _Body extends StatelessWidget { - final Widget child; - const _Body({required this.child}); + const LoginContent({ + required this.onLoggedIn, + }); @override Widget build(BuildContext context) { - return Material( - elevation: BeamSizes.size10, - borderRadius: BorderRadius.circular(10), + return OverlayBody( child: Container( width: TobSizes.authOverlayWidth, padding: const EdgeInsets.all(BeamSizes.size24), - child: child, + child: Column( + mainAxisSize: MainAxisSize.min, + children: [ + Text( + 'ui.signIn', + style: Theme.of(context).textTheme.titleLarge, + ).tr(), + const SizedBox(height: BeamSizes.size10), + const Text( + 'dialogs.signInIf', + textAlign: TextAlign.center, + ).tr(), + const _Divider(), + _BrandedLoginButtons( + onLoggedIn: onLoggedIn, + ), + ], + ), ), ); } @@ -82,10 +78,16 @@ class _Divider extends StatelessWidget { } class _BrandedLoginButtons extends StatelessWidget { - const _BrandedLoginButtons(); + final VoidCallback onLoggedIn; + + const _BrandedLoginButtons({ + required this.onLoggedIn, + }); @override Widget build(BuildContext context) { + final authNotifier = GetIt.instance.get(); + final isLightTheme = Theme.of(context).brightness == Brightness.light; final textStyle = MaterialStatePropertyAll(Theme.of(context).textTheme.bodyMedium); @@ -129,7 +131,10 @@ class _BrandedLoginButtons extends StatelessWidget { ), const SizedBox(height: BeamSizes.size16), ElevatedButton.icon( - onPressed: () {}, + onPressed: () async { + await authNotifier.logIn(GoogleAuthProvider()); + onLoggedIn(); + }, style: isLightTheme ? googleLightButtonStyle : darkButtonStyle, icon: SvgPicture.asset(Assets.svg.googleLogo), label: const Text('ui.continueGoogle').tr(), diff --git a/learning/tour-of-beam/frontend/lib/components/profile/avatar.dart b/learning/tour-of-beam/frontend/lib/components/profile/avatar.dart index 2c8c07d9ef17..d4b88584dab6 100644 --- a/learning/tour-of-beam/frontend/lib/components/profile/avatar.dart +++ b/learning/tour-of-beam/frontend/lib/components/profile/avatar.dart @@ -16,42 +16,43 @@ * limitations under the License. */ +import 'package:firebase_auth/firebase_auth.dart'; import 'package:flutter/material.dart'; import 'package:playground_components/playground_components.dart'; -import '../../assets/assets.gen.dart'; -import 'profile_content.dart'; +import 'user_menu.dart'; class Avatar extends StatelessWidget { - const Avatar(); + final User user; + const Avatar({required this.user}); @override Widget build(BuildContext context) { + final photoUrl = user.photoURL; return GestureDetector( onTap: () { - _openOverlay(context); + final closeNotifier = PublicNotifier(); + openOverlay( + context: context, + closeNotifier: closeNotifier, + positioned: Positioned( + right: BeamSizes.size10, + top: BeamSizes.appBarHeight, + child: UserMenu( + closeOverlayCallback: closeNotifier.notifyPublic, + user: user, + ), + ), + ); }, child: CircleAvatar( backgroundColor: BeamColors.white, - foregroundImage: AssetImage(Assets.png.laptopLight.path), - ), - ); - } - - void _openOverlay(BuildContext context) { - OverlayEntry? overlay; - overlay = OverlayEntry( - builder: (context) => DismissibleOverlay( - close: () { - overlay?.remove(); - }, - child: const Positioned( - right: BeamSizes.size10, - top: BeamSizes.appBarHeight, - child: ProfileContent(), + foregroundImage: photoUrl == null ? null : NetworkImage(photoUrl), + child: const Icon( + Icons.person, + color: BeamColors.grey3, ), ), ); - Overlay.of(context)?.insert(overlay); } } diff --git a/learning/tour-of-beam/frontend/lib/components/profile/profile_content.dart b/learning/tour-of-beam/frontend/lib/components/profile/user_menu.dart similarity index 69% rename from learning/tour-of-beam/frontend/lib/components/profile/profile_content.dart rename to learning/tour-of-beam/frontend/lib/components/profile/user_menu.dart index f6a0e1a6e82b..5fb49fa7192b 100644 --- a/learning/tour-of-beam/frontend/lib/components/profile/profile_content.dart +++ b/learning/tour-of-beam/frontend/lib/components/profile/user_menu.dart @@ -17,67 +17,72 @@ */ import 'package:easy_localization/easy_localization.dart'; +import 'package:firebase_auth/firebase_auth.dart'; import 'package:flutter/material.dart'; import 'package:flutter_svg/svg.dart'; +import 'package:get_it/get_it.dart'; import 'package:playground_components/playground_components.dart'; import '../../assets/assets.gen.dart'; +import '../../auth/notifier.dart'; import '../../constants/sizes.dart'; -class ProfileContent extends StatelessWidget { - const ProfileContent(); +class UserMenu extends StatelessWidget { + final VoidCallback closeOverlayCallback; + final User user; - @override - Widget build(BuildContext context) { - return _Body( - child: Column( - crossAxisAlignment: CrossAxisAlignment.start, - children: const [ - _Info(), - BeamDivider(), - _Buttons(), - ], - ), - ); - } -} - -class _Body extends StatelessWidget { - final Widget child; - - const _Body({required this.child}); + const UserMenu({ + required this.closeOverlayCallback, + required this.user, + }); @override Widget build(BuildContext context) { - return Material( - elevation: BeamSizes.size10, - borderRadius: BorderRadius.circular(10), + return OverlayBody( child: SizedBox( width: TobSizes.authOverlayWidth, - child: child, + child: Column( + crossAxisAlignment: CrossAxisAlignment.start, + children: [ + _Info(user: user), + const BeamDivider(), + _Buttons( + closeOverlayCallback: closeOverlayCallback, + ), + ], + ), ), ); } } class _Info extends StatelessWidget { - const _Info(); + final User user; + + const _Info({ + required this.user, + }); @override Widget build(BuildContext context) { + final displayName = user.displayName; + final email = user.email; + return Padding( padding: const EdgeInsets.all(BeamSizes.size16), child: Column( crossAxisAlignment: CrossAxisAlignment.start, children: [ - Text( - 'Name Surname', - style: Theme.of(context).textTheme.titleLarge, - ), - Text( - 'email@mail.com', - style: Theme.of(context).textTheme.bodySmall, - ), + if (displayName != null) + Text( + displayName, + style: Theme.of(context).textTheme.titleLarge, + ), + if (email != null) + Text( + email, + style: Theme.of(context).textTheme.bodySmall, + ), ], ), ); @@ -85,10 +90,16 @@ class _Info extends StatelessWidget { } class _Buttons extends StatelessWidget { - const _Buttons(); + final VoidCallback closeOverlayCallback; + + const _Buttons({ + required this.closeOverlayCallback, + }); @override Widget build(BuildContext context) { + final authNotifier = GetIt.instance.get(); + return Column( children: [ _IconLabel( @@ -105,7 +116,10 @@ class _Buttons extends StatelessWidget { ), const BeamDivider(), _IconLabel( - onTap: () {}, + onTap: () async { + await authNotifier.logOut(); + closeOverlayCallback(); + }, iconPath: Assets.svg.profileLogout, label: 'ui.signOut'.tr(), ), @@ -123,7 +137,7 @@ class _Buttons extends StatelessWidget { class _IconLabel extends StatelessWidget { final String iconPath; final String label; - final void Function()? onTap; + final VoidCallback? onTap; // TODO(alexeyinkin): Auto-determine. final bool isSvg; diff --git a/learning/tour-of-beam/frontend/lib/components/scaffold.dart b/learning/tour-of-beam/frontend/lib/components/scaffold.dart index f8352140436e..007e6398ecca 100644 --- a/learning/tour-of-beam/frontend/lib/components/scaffold.dart +++ b/learning/tour-of-beam/frontend/lib/components/scaffold.dart @@ -16,11 +16,14 @@ * limitations under the License. */ +import 'package:firebase_auth/firebase_auth.dart'; import 'package:flutter/material.dart'; +import 'package:get_it/get_it.dart'; import 'package:playground_components/playground_components.dart'; +import '../state.dart'; import 'footer.dart'; -import 'login/login_button.dart'; +import 'login/button.dart'; import 'logo.dart'; import 'profile/avatar.dart'; import 'sdk_dropdown.dart'; @@ -33,22 +36,18 @@ class TobScaffold extends StatelessWidget { required this.child, }); - // TODO(nausharipov): get state - static const _isAuthorized = true; - @override Widget build(BuildContext context) { return Scaffold( appBar: AppBar( + automaticallyImplyLeading: false, title: const Logo(), actions: const [ - _ActionVerticalPadding(child: SdkDropdown()), + _ActionVerticalPadding(child: _SdkSelector()), SizedBox(width: BeamSizes.size12), _ActionVerticalPadding(child: ToggleThemeButton()), SizedBox(width: BeamSizes.size6), - _ActionVerticalPadding( - child: _isAuthorized ? Avatar() : LoginButton(), - ), + _ActionVerticalPadding(child: _Profile()), SizedBox(width: BeamSizes.size16), ], ), @@ -62,6 +61,21 @@ class TobScaffold extends StatelessWidget { } } +class _Profile extends StatelessWidget { + const _Profile(); + + @override + Widget build(BuildContext context) { + return StreamBuilder( + stream: FirebaseAuth.instance.userChanges(), + builder: (context, snapshot) { + final user = snapshot.data; + return user == null ? const LoginButton() : Avatar(user: user); + }, + ); + } +} + class _ActionVerticalPadding extends StatelessWidget { final Widget child; @@ -75,3 +89,26 @@ class _ActionVerticalPadding extends StatelessWidget { ); } } + +class _SdkSelector extends StatelessWidget { + const _SdkSelector(); + + @override + Widget build(BuildContext context) { + final appNotifier = GetIt.instance.get(); + return AnimatedBuilder( + animation: appNotifier, + builder: (context, child) { + final sdkId = appNotifier.sdkId; + return sdkId == null + ? Container() + : SdkDropdown( + sdkId: sdkId, + onChanged: (value) { + appNotifier.sdkId = value; + }, + ); + }, + ); + } +} diff --git a/learning/tour-of-beam/frontend/lib/components/sdk_dropdown.dart b/learning/tour-of-beam/frontend/lib/components/sdk_dropdown.dart index 689860b8466c..9e84e3698e37 100644 --- a/learning/tour-of-beam/frontend/lib/components/sdk_dropdown.dart +++ b/learning/tour-of-beam/frontend/lib/components/sdk_dropdown.dart @@ -22,7 +22,13 @@ import 'package:playground_components/playground_components.dart'; import 'builders/sdks.dart'; class SdkDropdown extends StatelessWidget { - const SdkDropdown(); + final String sdkId; + final ValueChanged onChanged; + + const SdkDropdown({ + required this.sdkId, + required this.onChanged, + }); @override Widget build(BuildContext context) { @@ -34,9 +40,11 @@ class SdkDropdown extends StatelessWidget { return _DropdownWrapper( child: DropdownButton( - value: sdks.first.id, + value: sdkId, onChanged: (sdk) { - // TODO(nausharipov): change SDK + if (sdk != null) { + onChanged(sdk); + } }, items: sdks .map( @@ -46,7 +54,6 @@ class SdkDropdown extends StatelessWidget { ), ) .toList(growable: false), - isDense: true, alignment: Alignment.center, focusColor: BeamColors.transparent, borderRadius: BorderRadius.circular(BeamSizes.size6), @@ -63,9 +70,10 @@ class _DropdownWrapper extends StatelessWidget { @override Widget build(BuildContext context) { - return DecoratedBox( + return Container( + padding: const EdgeInsets.only(left: BeamSizes.size10), decoration: BoxDecoration( - color: Theme.of(context).hoverColor, + color: Theme.of(context).selectedRowColor, borderRadius: BorderRadius.circular(BeamSizes.size6), ), child: DropdownButtonHideUnderline(child: child), diff --git a/learning/tour-of-beam/frontend/lib/constants/sizes.dart b/learning/tour-of-beam/frontend/lib/constants/sizes.dart index bb9a665c8a30..fd0eec3b97d1 100644 --- a/learning/tour-of-beam/frontend/lib/constants/sizes.dart +++ b/learning/tour-of-beam/frontend/lib/constants/sizes.dart @@ -19,10 +19,10 @@ class TobSizes { static const double footerHeight = 35; static const double authOverlayWidth = 260; + static const double hintPopupWidth = 420; } class ScreenSizes { - // TODO(nausharipov): name better static const medium = 1024; } diff --git a/learning/tour-of-beam/frontend/lib/constants/storage_keys.dart b/learning/tour-of-beam/frontend/lib/constants/storage_keys.dart new file mode 100644 index 000000000000..84b289e115e8 --- /dev/null +++ b/learning/tour-of-beam/frontend/lib/constants/storage_keys.dart @@ -0,0 +1,21 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +class StorageKeys { + static const sdkId = 'sdkId'; +} diff --git a/playground/frontend/playground_components/lib/src/repositories/models/shared_file.dart b/learning/tour-of-beam/frontend/lib/enums/unit_completion.dart similarity index 81% rename from playground/frontend/playground_components/lib/src/repositories/models/shared_file.dart rename to learning/tour-of-beam/frontend/lib/enums/unit_completion.dart index 7a63f2a91cd6..746cfd4d38e5 100644 --- a/playground/frontend/playground_components/lib/src/repositories/models/shared_file.dart +++ b/learning/tour-of-beam/frontend/lib/enums/unit_completion.dart @@ -16,14 +16,11 @@ * limitations under the License. */ -class SharedFile { - final String code; - final bool isMain; - final String name; +enum UnitCompletion { + completed, + uncompleted, - const SharedFile({ - required this.code, - required this.isMain, - this.name = '', - }); + /// Sent the request to complete or to undo completion. + updating, + unauthenticated, } diff --git a/learning/tour-of-beam/frontend/lib/firebase_options.dart b/learning/tour-of-beam/frontend/lib/firebase_options.dart new file mode 100644 index 000000000000..e2a871d637b3 --- /dev/null +++ b/learning/tour-of-beam/frontend/lib/firebase_options.dart @@ -0,0 +1,63 @@ +// File generated by FlutterFire CLI. +// ignore_for_file: lines_longer_than_80_chars, avoid_classes_with_only_static_members +import 'package:firebase_core/firebase_core.dart' show FirebaseOptions; +import 'package:flutter/foundation.dart' + show defaultTargetPlatform, kIsWeb, TargetPlatform; + +/// Default [FirebaseOptions] for use with your Firebase apps. +/// +/// Example: +/// ```dart +/// import 'firebase_options.dart'; +/// // ... +/// await Firebase.initializeApp( +/// options: DefaultFirebaseOptions.currentPlatform, +/// ); +/// ``` +class DefaultFirebaseOptions { + static FirebaseOptions get currentPlatform { + if (kIsWeb) { + return web; + } + switch (defaultTargetPlatform) { + case TargetPlatform.android: + throw UnsupportedError( + 'DefaultFirebaseOptions have not been configured for android - ' + 'you can reconfigure this by running the FlutterFire CLI again.', + ); + case TargetPlatform.iOS: + throw UnsupportedError( + 'DefaultFirebaseOptions have not been configured for ios - ' + 'you can reconfigure this by running the FlutterFire CLI again.', + ); + case TargetPlatform.macOS: + throw UnsupportedError( + 'DefaultFirebaseOptions have not been configured for macos - ' + 'you can reconfigure this by running the FlutterFire CLI again.', + ); + case TargetPlatform.windows: + throw UnsupportedError( + 'DefaultFirebaseOptions have not been configured for windows - ' + 'you can reconfigure this by running the FlutterFire CLI again.', + ); + case TargetPlatform.linux: + throw UnsupportedError( + 'DefaultFirebaseOptions have not been configured for linux - ' + 'you can reconfigure this by running the FlutterFire CLI again.', + ); + default: + throw UnsupportedError( + 'DefaultFirebaseOptions are not supported for this platform.', + ); + } + } + + static const FirebaseOptions web = FirebaseOptions( + apiKey: 'AIzaSyBtAreurqJ5D4IK6cNisZh5dnDRKljbJAw', + authDomain: 'astest-369409.firebaseapp.com', + projectId: 'astest-369409', + storageBucket: 'astest-369409.appspot.com', + messagingSenderId: '534850967604', + appId: '1:534850967604:web:55c6af8da7940df1ddd261', + ); +} diff --git a/learning/tour-of-beam/frontend/lib/locator.dart b/learning/tour-of-beam/frontend/lib/locator.dart index f8146a212e24..7bdb0406edd0 100644 --- a/learning/tour-of-beam/frontend/lib/locator.dart +++ b/learning/tour-of-beam/frontend/lib/locator.dart @@ -19,28 +19,40 @@ import 'package:app_state/app_state.dart'; import 'package:get_it/get_it.dart'; +import 'auth/notifier.dart'; import 'cache/content_tree.dart'; import 'cache/sdk.dart'; import 'cache/unit_content.dart'; +import 'cache/unit_progress.dart'; import 'pages/welcome/page.dart'; +import 'repositories/client/client.dart'; import 'repositories/client/cloud_functions_client.dart'; import 'router/page_factory.dart'; import 'router/route_information_parser.dart'; +import 'state.dart'; Future initializeServiceLocator() async { - _initializeCaches(); + _initializeAuth(); _initializeState(); + _initializeCaches(); +} + +void _initializeAuth() { + GetIt.instance.registerSingleton(AuthNotifier()); } void _initializeCaches() { final client = CloudFunctionsTobClient(); + GetIt.instance.registerSingleton(client); GetIt.instance.registerSingleton(ContentTreeCache(client: client)); GetIt.instance.registerSingleton(SdkCache(client: client)); GetIt.instance.registerSingleton(UnitContentCache(client: client)); + GetIt.instance.registerSingleton(UnitProgressCache(client: client)); } void _initializeState() { + GetIt.instance.registerSingleton(AppNotifier()); GetIt.instance.registerSingleton( PageStack( bottomPage: WelcomePage(), diff --git a/learning/tour-of-beam/frontend/lib/main.dart b/learning/tour-of-beam/frontend/lib/main.dart index 6561ae9f921c..b5cc5d64a9c4 100644 --- a/learning/tour-of-beam/frontend/lib/main.dart +++ b/learning/tour-of-beam/frontend/lib/main.dart @@ -20,18 +20,24 @@ import 'package:app_state/app_state.dart'; import 'package:easy_localization/easy_localization.dart'; import 'package:easy_localization_ext/easy_localization_ext.dart'; import 'package:easy_localization_loader/easy_localization_loader.dart'; +import 'package:firebase_core/firebase_core.dart'; import 'package:flutter/material.dart'; import 'package:get_it/get_it.dart'; import 'package:playground_components/playground_components.dart'; import 'package:provider/provider.dart'; import 'package:url_strategy/url_strategy.dart'; +import 'firebase_options.dart'; import 'locator.dart'; import 'router/route_information_parser.dart'; void main() async { + await Firebase.initializeApp( + options: DefaultFirebaseOptions.currentPlatform, + ); setPathUrlStrategy(); await EasyLocalization.ensureInitialized(); + await PlaygroundComponents.ensureInitialized(); await initializeServiceLocator(); const englishLocale = Locale('en'); diff --git a/learning/tour-of-beam/frontend/lib/models/unit_content.dart b/learning/tour-of-beam/frontend/lib/models/unit_content.dart index 5001d314cda2..227aa76a2527 100644 --- a/learning/tour-of-beam/frontend/lib/models/unit_content.dart +++ b/learning/tour-of-beam/frontend/lib/models/unit_content.dart @@ -16,26 +16,43 @@ * limitations under the License. */ +import 'package:equatable/equatable.dart'; import 'package:json_annotation/json_annotation.dart'; part 'unit_content.g.dart'; @JsonSerializable(createToJson: false) -class UnitContentModel { +class UnitContentModel extends Equatable { final String id; - final String title; final String description; - final String? taskSnippetId; + @JsonKey(defaultValue: []) + final List hints; final String? solutionSnippetId; + final String title; + final String? taskSnippetId; + + @JsonKey(ignore: true) + bool get isChallenge => hints.isNotEmpty; const UnitContentModel({ required this.id, - required this.title, required this.description, - required this.taskSnippetId, + required this.hints, required this.solutionSnippetId, + required this.title, + required this.taskSnippetId, }); + @override + List get props => [ + description, + hints, + id, + solutionSnippetId, + title, + taskSnippetId, + ]; + factory UnitContentModel.fromJson(Map json) => _$UnitContentModelFromJson(json); } diff --git a/learning/tour-of-beam/frontend/lib/models/unit_content.g.dart b/learning/tour-of-beam/frontend/lib/models/unit_content.g.dart index ad68a0819015..8c3db0eb223b 100644 --- a/learning/tour-of-beam/frontend/lib/models/unit_content.g.dart +++ b/learning/tour-of-beam/frontend/lib/models/unit_content.g.dart @@ -13,4 +13,7 @@ UnitContentModel _$UnitContentModelFromJson(Map json) => description: json['description'] as String, taskSnippetId: json['taskSnippetId'] as String?, solutionSnippetId: json['solutionSnippetId'] as String?, + hints: + (json['hints'] as List?)?.map((e) => e as String).toList() ?? + [], ); diff --git a/learning/tour-of-beam/frontend/lib/models/unit_progress.dart b/learning/tour-of-beam/frontend/lib/models/unit_progress.dart new file mode 100644 index 000000000000..473c8ae0d4e6 --- /dev/null +++ b/learning/tour-of-beam/frontend/lib/models/unit_progress.dart @@ -0,0 +1,35 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +import 'package:json_annotation/json_annotation.dart'; + +part 'unit_progress.g.dart'; + +@JsonSerializable(createToJson: false) +class UnitProgressModel { + final String id; + final bool isCompleted; + + const UnitProgressModel({ + required this.id, + required this.isCompleted, + }); + + factory UnitProgressModel.fromJson(Map json) => + _$UnitProgressModelFromJson(json); +} diff --git a/learning/tour-of-beam/frontend/lib/models/unit_progress.g.dart b/learning/tour-of-beam/frontend/lib/models/unit_progress.g.dart new file mode 100644 index 000000000000..c1a773cd66a9 --- /dev/null +++ b/learning/tour-of-beam/frontend/lib/models/unit_progress.g.dart @@ -0,0 +1,13 @@ +// GENERATED CODE - DO NOT MODIFY BY HAND + +part of 'unit_progress.dart'; + +// ************************************************************************** +// JsonSerializableGenerator +// ************************************************************************** + +UnitProgressModel _$UnitProgressModelFromJson(Map json) => + UnitProgressModel( + id: json['id'] as String, + isCompleted: json['isCompleted'] as bool, + ); diff --git a/learning/tour-of-beam/frontend/lib/pages/tour/controllers/content_tree.dart b/learning/tour-of-beam/frontend/lib/pages/tour/controllers/content_tree.dart index bfa63c94df4f..bcdb686a10b7 100644 --- a/learning/tour-of-beam/frontend/lib/pages/tour/controllers/content_tree.dart +++ b/learning/tour-of-beam/frontend/lib/pages/tour/controllers/content_tree.dart @@ -28,6 +28,7 @@ import '../../../models/unit.dart'; class ContentTreeController extends ChangeNotifier { String _sdkId; List _treeIds; + // TODO(nausharipov): non-nullable currentNode? NodeModel? _currentNode; final _contentTreeCache = GetIt.instance.get(); final _expandedIds = {}; @@ -47,6 +48,11 @@ class ContentTreeController extends ChangeNotifier { Sdk get sdk => Sdk.parseOrCreate(_sdkId); String get sdkId => _sdkId; + set sdkId(String newValue) { + _sdkId = newValue; + notifyListeners(); + } + List get treeIds => _treeIds; NodeModel? get currentNode => _currentNode; diff --git a/learning/tour-of-beam/frontend/lib/pages/tour/controllers/unit.dart b/learning/tour-of-beam/frontend/lib/pages/tour/controllers/unit.dart new file mode 100644 index 000000000000..5331e454ff45 --- /dev/null +++ b/learning/tour-of-beam/frontend/lib/pages/tour/controllers/unit.dart @@ -0,0 +1,45 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +import 'package:flutter/widgets.dart'; +import 'package:get_it/get_it.dart'; + +import '../../../cache/unit_progress.dart'; +import '../../../repositories/client/client.dart'; + +class UnitController extends ChangeNotifier { + final String unitId; + final String sdkId; + + UnitController({ + required this.unitId, + required this.sdkId, + }); + + Future completeUnit() async { + final client = GetIt.instance.get(); + final unitProgressCache = GetIt.instance.get(); + try { + unitProgressCache.addUpdatingUnitId(unitId); + await client.postUnitComplete(sdkId, unitId); + } finally { + await unitProgressCache.updateCompletedUnits(); + unitProgressCache.clearUpdatingUnitId(unitId); + } + } +} diff --git a/learning/tour-of-beam/frontend/lib/pages/tour/screen.dart b/learning/tour-of-beam/frontend/lib/pages/tour/screen.dart index 3557111c0f76..5a575e86ba06 100644 --- a/learning/tour-of-beam/frontend/lib/pages/tour/screen.dart +++ b/learning/tour-of-beam/frontend/lib/pages/tour/screen.dart @@ -22,42 +22,42 @@ import 'package:playground_components/playground_components.dart'; import '../../components/scaffold.dart'; import '../../constants/sizes.dart'; import 'state.dart'; -import 'widgets/content.dart'; import 'widgets/content_tree.dart'; import 'widgets/playground_demo.dart'; +import 'widgets/unit_content.dart'; class TourScreen extends StatelessWidget { - final TourNotifier notifier; + final TourNotifier tourNotifier; - const TourScreen(this.notifier); + const TourScreen(this.tourNotifier); @override Widget build(BuildContext context) { return TobScaffold( child: MediaQuery.of(context).size.width > ScreenBreakpoints.twoColumns - ? _WideTour(notifier) - : _NarrowTour(notifier), + ? _WideTour(tourNotifier) + : _NarrowTour(tourNotifier), ); } } class _WideTour extends StatelessWidget { - final TourNotifier notifier; + final TourNotifier tourNotifier; - const _WideTour(this.notifier); + const _WideTour(this.tourNotifier); @override Widget build(BuildContext context) { return Row( crossAxisAlignment: CrossAxisAlignment.start, children: [ - ContentTreeWidget(controller: notifier.contentTreeController), + ContentTreeWidget(controller: tourNotifier.contentTreeController), Expanded( child: SplitView( direction: Axis.horizontal, - first: ContentWidget(notifier), + first: UnitContentWidget(tourNotifier), second: PlaygroundDemoWidget( - playgroundController: notifier.playgroundController, + playgroundController: tourNotifier.playgroundController, ), ), ), @@ -67,9 +67,9 @@ class _WideTour extends StatelessWidget { } class _NarrowTour extends StatelessWidget { - final TourNotifier notifier; + final TourNotifier tourNotifier; - const _NarrowTour(this.notifier); + const _NarrowTour(this.tourNotifier); @override Widget build(BuildContext context) { @@ -79,8 +79,8 @@ class _NarrowTour extends StatelessWidget { Row( crossAxisAlignment: CrossAxisAlignment.start, children: [ - ContentTreeWidget(controller: notifier.contentTreeController), - Expanded(child: ContentWidget(notifier)), + ContentTreeWidget(controller: tourNotifier.contentTreeController), + Expanded(child: UnitContentWidget(tourNotifier)), ], ), DecoratedBox( diff --git a/learning/tour-of-beam/frontend/lib/pages/tour/state.dart b/learning/tour-of-beam/frontend/lib/pages/tour/state.dart index e709839e915e..19646be75431 100644 --- a/learning/tour-of-beam/frontend/lib/pages/tour/state.dart +++ b/learning/tour-of-beam/frontend/lib/pages/tour/state.dart @@ -16,22 +16,32 @@ * limitations under the License. */ +import 'dart:async'; + import 'package:app_state/app_state.dart'; import 'package:flutter/widgets.dart'; import 'package:get_it/get_it.dart'; import 'package:playground_components/playground_components.dart'; +import '../../auth/notifier.dart'; import '../../cache/unit_content.dart'; +import '../../cache/unit_progress.dart'; import '../../config.dart'; import '../../models/unit.dart'; import '../../models/unit_content.dart'; +import '../../state.dart'; import 'controllers/content_tree.dart'; +import 'controllers/unit.dart'; import 'path.dart'; class TourNotifier extends ChangeNotifier with PageStateMixin { final ContentTreeController contentTreeController; final PlaygroundController playgroundController; + UnitController? currentUnitController; + final _appNotifier = GetIt.instance.get(); + final _authNotifier = GetIt.instance.get(); final _unitContentCache = GetIt.instance.get(); + final _unitProgressCache = GetIt.instance.get(); UnitContentModel? _currentUnitContent; TourNotifier({ @@ -42,9 +52,11 @@ class TourNotifier extends ChangeNotifier with PageStateMixin { initialTreeIds: initialTreeIds, ), playgroundController = _createPlaygroundController(initialSdkId) { - contentTreeController.addListener(_onChanged); - _unitContentCache.addListener(_onChanged); - _onChanged(); + contentTreeController.addListener(_onUnitChanged); + _unitContentCache.addListener(_onUnitChanged); + _appNotifier.addListener(_onAppNotifierChanged); + _authNotifier.addListener(_onUnitProgressChanged); + _onUnitChanged(); } @override @@ -53,15 +65,59 @@ class TourNotifier extends ChangeNotifier with PageStateMixin { treeIds: contentTreeController.treeIds, ); - void _onChanged() { + String? get currentUnitId => currentUnitController?.unitId; + UnitContentModel? get currentUnitContent => _currentUnitContent; + bool get doesCurrentUnitHaveSolution => + currentUnitContent?.solutionSnippetId != null; + bool _isShowingSolution = false; + bool get isShowingSolution => _isShowingSolution; + + void toggleShowingSolution() { + if (doesCurrentUnitHaveSolution) { + _isShowingSolution = !_isShowingSolution; + + final snippetId = _isShowingSolution + ? _currentUnitContent?.solutionSnippetId + : _currentUnitContent?.taskSnippetId; + if (snippetId != null) { + // TODO(nausharipov): store/recover + unawaited(_setPlaygroundSnippet(snippetId)); + } + + notifyListeners(); + } + } + + void _createCurrentUnitController(String sdkId, String unitId) { + currentUnitController = UnitController( + unitId: unitId, + sdkId: sdkId, + ); + } + + Future _onUnitProgressChanged() async { + await _unitProgressCache.updateCompletedUnits(); + } + + void _onAppNotifierChanged() { + final sdkId = _appNotifier.sdkId; + if (sdkId != null) { + playgroundController.setSdk(Sdk.parseOrCreate(sdkId)); + contentTreeController.sdkId = sdkId; + _onUnitProgressChanged(); + } + } + + void _onUnitChanged() { emitPathChanged(); final currentNode = contentTreeController.currentNode; if (currentNode is UnitModel) { + final sdk = contentTreeController.sdk; final content = _unitContentCache.getUnitContent( - contentTreeController.sdkId, + sdk.id, currentNode.id, ); - + _createCurrentUnitController(contentTreeController.sdkId, currentNode.id); _setCurrentUnitContent(content); } else { _emptyPlayground(); @@ -70,9 +126,7 @@ class TourNotifier extends ChangeNotifier with PageStateMixin { notifyListeners(); } - UnitContentModel? get currentUnitContent => _currentUnitContent; - - void _setCurrentUnitContent(UnitContentModel? content) { + Future _setCurrentUnitContent(UnitContentModel? content) async { if (content == _currentUnitContent) { return; } @@ -82,25 +136,35 @@ class TourNotifier extends ChangeNotifier with PageStateMixin { if (content == null) { return; } - final taskSnippetId = content.taskSnippetId; - if (taskSnippetId == null) { - _emptyPlayground(); + await _setPlaygroundSnippet(taskSnippetId); + _isShowingSolution = false; + } + + Future _setPlaygroundSnippet(String? snippetId) async { + if (snippetId == null) { + await _emptyPlayground(); return; } - playgroundController.examplesLoader.load( - ExamplesLoadingDescriptor( - descriptors: [ - UserSharedExampleLoadingDescriptor(snippetId: taskSnippetId), - ], - ), - ); + final selectedSdk = _appNotifier.sdk; + if (selectedSdk != null) { + await playgroundController.examplesLoader.load( + ExamplesLoadingDescriptor( + descriptors: [ + UserSharedExampleLoadingDescriptor( + sdk: selectedSdk, + snippetId: snippetId, + ), + ], + ), + ); + } } // TODO(alexeyinkin): Hide the entire right pane instead. - void _emptyPlayground() { - playgroundController.examplesLoader.load( + Future _emptyPlayground() async { + await playgroundController.examplesLoader.load( ExamplesLoadingDescriptor( descriptors: [ EmptyExampleLoadingDescriptor(sdk: contentTreeController.sdk), @@ -128,7 +192,6 @@ class TourNotifier extends ChangeNotifier with PageStateMixin { final exampleCache = ExampleCache( exampleRepository: exampleRepository, - hasCatalog: false, ); final playgroundController = PlaygroundController( @@ -137,11 +200,13 @@ class TourNotifier extends ChangeNotifier with PageStateMixin { examplesLoader: ExamplesLoader(), ); - playgroundController.examplesLoader.load( - ExamplesLoadingDescriptor( - descriptors: [ - EmptyExampleLoadingDescriptor(sdk: Sdk.parseOrCreate(initialSdkId)), - ], + unawaited( + playgroundController.examplesLoader.load( + ExamplesLoadingDescriptor( + descriptors: [ + EmptyExampleLoadingDescriptor(sdk: Sdk.parseOrCreate(initialSdkId)), + ], + ), ), ); @@ -150,8 +215,10 @@ class TourNotifier extends ChangeNotifier with PageStateMixin { @override void dispose() { - _unitContentCache.removeListener(_onChanged); - contentTreeController.removeListener(_onChanged); + _unitContentCache.removeListener(_onUnitChanged); + contentTreeController.removeListener(_onUnitChanged); + _appNotifier.removeListener(_onAppNotifierChanged); + _authNotifier.removeListener(_onUnitProgressChanged); super.dispose(); } } diff --git a/learning/tour-of-beam/frontend/lib/pages/tour/widgets/tour_progress_indicator.dart b/learning/tour-of-beam/frontend/lib/pages/tour/widgets/binary_progress.dart similarity index 72% rename from learning/tour-of-beam/frontend/lib/pages/tour/widgets/tour_progress_indicator.dart rename to learning/tour-of-beam/frontend/lib/pages/tour/widgets/binary_progress.dart index 6f3d6ba56087..f562f1218252 100644 --- a/learning/tour-of-beam/frontend/lib/pages/tour/widgets/tour_progress_indicator.dart +++ b/learning/tour-of-beam/frontend/lib/pages/tour/widgets/binary_progress.dart @@ -20,19 +20,28 @@ import 'package:flutter/material.dart'; import 'package:flutter_svg/svg.dart'; import 'package:playground_components/playground_components.dart'; -class TourProgressIndicator extends StatelessWidget { - // TODO(nausharipov): replace assetPath with progress enum - final String assetPath; +import '../../../assets/assets.gen.dart'; + +class BinaryProgressIndicator extends StatelessWidget { + final bool isCompleted; final bool isSelected; - const TourProgressIndicator({ - required this.assetPath, + const BinaryProgressIndicator({ + required this.isCompleted, required this.isSelected, }); @override Widget build(BuildContext context) { final ext = Theme.of(context).extension()!; + final Color color; + if (isCompleted) { + color = BeamColors.green; + } else if (isSelected) { + color = ext.selectedProgressColor; + } else { + color = ext.unselectedProgressColor; + } return Padding( padding: const EdgeInsets.only( @@ -40,10 +49,8 @@ class TourProgressIndicator extends StatelessWidget { right: BeamSizes.size8, ), child: SvgPicture.asset( - assetPath, - color: isSelected - ? ext.selectedProgressColor - : ext.unselectedProgressColor, + isCompleted ? Assets.svg.unitProgress100 : Assets.svg.unitProgress0, + color: color, ), ); } diff --git a/learning/tour-of-beam/frontend/lib/pages/tour/widgets/complete_unit_button.dart b/learning/tour-of-beam/frontend/lib/pages/tour/widgets/complete_unit_button.dart new file mode 100644 index 000000000000..f29c04a56c5a --- /dev/null +++ b/learning/tour-of-beam/frontend/lib/pages/tour/widgets/complete_unit_button.dart @@ -0,0 +1,68 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +import 'package:easy_localization/easy_localization.dart'; +import 'package:flutter/material.dart'; +import 'package:get_it/get_it.dart'; +import 'package:playground_components/playground_components.dart'; + +import '../../../cache/unit_progress.dart'; +import '../state.dart'; + +class CompleteUnitButton extends StatelessWidget { + final TourNotifier tourNotifier; + const CompleteUnitButton(this.tourNotifier); + + @override + Widget build(BuildContext context) { + final themeData = Theme.of(context); + final unitProgressCache = GetIt.instance.get(); + + return AnimatedBuilder( + animation: unitProgressCache, + builder: (context, child) { + final canComplete = + unitProgressCache.canCompleteUnit(tourNotifier.currentUnitId); + final borderColor = + canComplete ? themeData.primaryColor : themeData.disabledColor; + final onPressed = canComplete + ? tourNotifier.currentUnitController?.completeUnit + : null; + + return Flexible( + child: OutlinedButton( + style: OutlinedButton.styleFrom( + foregroundColor: themeData.primaryColor, + side: BorderSide(color: borderColor), + shape: const RoundedRectangleBorder( + borderRadius: BorderRadius.all( + Radius.circular(BeamSizes.size4), + ), + ), + ), + onPressed: onPressed, + child: const Text( + 'pages.tour.completeUnit', + overflow: TextOverflow.visible, + ).tr(), + ), + ); + }, + ); + } +} diff --git a/learning/tour-of-beam/frontend/lib/pages/tour/widgets/content.dart b/learning/tour-of-beam/frontend/lib/pages/tour/widgets/content.dart deleted file mode 100644 index a45b87f8a2a3..000000000000 --- a/learning/tour-of-beam/frontend/lib/pages/tour/widgets/content.dart +++ /dev/null @@ -1,112 +0,0 @@ -/* - * Licensed to the Apache Software Foundation (ASF) under one - * or more contributor license agreements. See the NOTICE file - * distributed with this work for additional information - * regarding copyright ownership. The ASF licenses this file - * to you under the Apache License, Version 2.0 (the - * "License"); you may not use this file except in compliance - * with the License. You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -import 'package:easy_localization/easy_localization.dart'; -import 'package:flutter/material.dart'; -import 'package:playground_components/playground_components.dart'; - -import '../../../constants/sizes.dart'; -import '../state.dart'; -import 'unit_content.dart'; - -class ContentWidget extends StatelessWidget { - final TourNotifier notifier; - - const ContentWidget(this.notifier); - - @override - Widget build(BuildContext context) { - final themeData = Theme.of(context); - - return Container( - height: MediaQuery.of(context).size.height - - BeamSizes.appBarHeight - - TobSizes.footerHeight, - decoration: BoxDecoration( - color: themeData.backgroundColor, - border: Border( - left: BorderSide(color: themeData.dividerColor), - ), - ), - child: AnimatedBuilder( - animation: notifier, - builder: (context, child) { - final currentUnitContent = notifier.currentUnitContent; - - return Column( - mainAxisAlignment: MainAxisAlignment.spaceBetween, - children: [ - Expanded( - child: currentUnitContent == null - ? Container() - : UnitContentWidget(unitContent: currentUnitContent), - ), - const _ContentFooter(), - ], - ); - }, - ), - ); - } -} - -class _ContentFooter extends StatelessWidget { - const _ContentFooter(); - - @override - Widget build(BuildContext context) { - final themeData = Theme.of(context); - - return Container( - decoration: BoxDecoration( - border: Border( - top: BorderSide(color: themeData.dividerColor), - ), - color: - themeData.extension()?.secondaryBackgroundColor, - ), - width: double.infinity, - padding: const EdgeInsets.all(BeamSizes.size20), - child: Row( - mainAxisAlignment: MainAxisAlignment.end, - children: [ - Flexible( - child: OutlinedButton( - style: OutlinedButton.styleFrom( - foregroundColor: themeData.primaryColor, - side: BorderSide(color: themeData.primaryColor), - shape: const RoundedRectangleBorder( - borderRadius: BorderRadius.all( - Radius.circular(BeamSizes.size4), - ), - ), - ), - child: const Text( - 'pages.tour.completeUnit', - overflow: TextOverflow.ellipsis, - ).tr(), - onPressed: () { - // TODO(nausharipov): complete unit - }, - ), - ), - ], - ), - ); - } -} diff --git a/learning/tour-of-beam/frontend/lib/pages/tour/widgets/content_tree.dart b/learning/tour-of-beam/frontend/lib/pages/tour/widgets/content_tree.dart index d6cf5fc14032..a40f14d35c60 100644 --- a/learning/tour-of-beam/frontend/lib/pages/tour/widgets/content_tree.dart +++ b/learning/tour-of-beam/frontend/lib/pages/tour/widgets/content_tree.dart @@ -24,6 +24,7 @@ import '../controllers/content_tree.dart'; import 'content_tree_title.dart'; import 'module.dart'; +// TODO(nausharipov): make it collapsible class ContentTreeWidget extends StatelessWidget { final ContentTreeController controller; diff --git a/learning/tour-of-beam/frontend/lib/pages/tour/widgets/fraction_progress.dart b/learning/tour-of-beam/frontend/lib/pages/tour/widgets/fraction_progress.dart new file mode 100644 index 000000000000..b36327c543d4 --- /dev/null +++ b/learning/tour-of-beam/frontend/lib/pages/tour/widgets/fraction_progress.dart @@ -0,0 +1,51 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +import 'package:flutter/material.dart'; +import 'package:playground_components/playground_components.dart'; + +class FractionProgressIndicator extends StatelessWidget { + final double progress; + + const FractionProgressIndicator({ + required this.progress, + }); + + static const _diameter = 8.5; + static const _thickness = 3.8; + + @override + Widget build(BuildContext context) { + return Container( + margin: const EdgeInsets.only( + left: BeamSizes.size7, + right: BeamSizes.size10, + ), + height: _diameter, + width: _diameter, + child: CircularProgressIndicator( + strokeWidth: _thickness, + color: BeamColors.green, + backgroundColor: Theme.of(context) + .extension()! + .unselectedProgressColor, + value: progress, + ), + ); + } +} diff --git a/learning/tour-of-beam/frontend/lib/pages/tour/widgets/group_title.dart b/learning/tour-of-beam/frontend/lib/pages/tour/widgets/group_title.dart index 132a1326238d..ce382b2e0311 100644 --- a/learning/tour-of-beam/frontend/lib/pages/tour/widgets/group_title.dart +++ b/learning/tour-of-beam/frontend/lib/pages/tour/widgets/group_title.dart @@ -17,11 +17,14 @@ */ import 'package:flutter/material.dart'; +import 'package:get_it/get_it.dart'; import 'package:playground_components/playground_components.dart'; -import '../../../assets/assets.gen.dart'; +import '../../../cache/unit_progress.dart'; import '../../../models/group.dart'; -import 'tour_progress_indicator.dart'; +import '../../../models/node.dart'; +import 'binary_progress.dart'; +import 'fraction_progress.dart'; class GroupTitleWidget extends StatelessWidget { final GroupModel group; @@ -38,10 +41,7 @@ class GroupTitleWidget extends StatelessWidget { onTap: onTap, child: Row( children: [ - TourProgressIndicator( - assetPath: Assets.svg.unitProgress0, - isSelected: false, - ), + _GroupProgressIndicator(group: group), Text( group.title, style: Theme.of(context).textTheme.headlineMedium, @@ -51,3 +51,56 @@ class GroupTitleWidget extends StatelessWidget { ); } } + +class _GroupProgressIndicator extends StatelessWidget { + final GroupModel group; + const _GroupProgressIndicator({required this.group}); + + @override + Widget build(BuildContext context) { + final unitProgressCache = GetIt.instance.get(); + + return AnimatedBuilder( + animation: unitProgressCache, + builder: (context, child) { + final progress = _getGroupProgress( + group.nodes, + unitProgressCache.getCompletedUnits(), + ); + + if (progress == 1) { + return const BinaryProgressIndicator( + isCompleted: true, + isSelected: false, + ); + } + + return FractionProgressIndicator(progress: progress); + }, + ); + } + + double _getGroupProgress( + List groupNodes, + Set completedUnits, + ) { + int completed = 0; + int total = 0; + + void countNodes(List nodes) { + for (final node in nodes) { + if (node is GroupModel) { + countNodes(node.nodes); + } else { + total += 1; + if (completedUnits.contains(node.id)) { + completed += 1; + } + } + } + } + + countNodes(groupNodes); + return completed / total; + } +} diff --git a/learning/tour-of-beam/frontend/lib/pages/tour/widgets/hints.dart b/learning/tour-of-beam/frontend/lib/pages/tour/widgets/hints.dart new file mode 100644 index 000000000000..4ae39f99e5df --- /dev/null +++ b/learning/tour-of-beam/frontend/lib/pages/tour/widgets/hints.dart @@ -0,0 +1,86 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +import 'package:easy_localization/easy_localization.dart'; +import 'package:flutter/material.dart'; +import 'package:flutter_svg/svg.dart'; +import 'package:playground_components/playground_components.dart'; + +import '../../../assets/assets.gen.dart'; +import '../../../constants/sizes.dart'; +import 'markdown/tob_markdown.dart'; + +class HintsWidget extends StatelessWidget { + final List hints; + + const HintsWidget({ + required this.hints, + }); + + @override + Widget build(BuildContext context) { + return TextButton.icon( + onPressed: () { + if (hints.isNotEmpty) { + showDialog( + context: context, + builder: (context) => Dialog( + backgroundColor: Colors.transparent, + child: _Popup(hint: hints.first), + ), + ); + } + }, + icon: SvgPicture.asset(Assets.svg.hint), + label: const Text('ui.hint').tr(), + ); + } +} + +class _Popup extends StatelessWidget { + final String hint; + + const _Popup({ + required this.hint, + }); + + @override + Widget build(BuildContext context) { + return OverlayBody( + child: Container( + width: TobSizes.hintPopupWidth, + padding: const EdgeInsets.all(BeamSizes.size16), + child: Column( + crossAxisAlignment: CrossAxisAlignment.start, + mainAxisSize: MainAxisSize.min, + children: [ + Text( + 'ui.hint', + style: Theme.of(context).textTheme.headlineLarge, + ).tr(), + const SizedBox(height: BeamSizes.size8), + TobMarkdown( + padding: EdgeInsets.zero, + data: hint, + ), + ], + ), + ), + ); + } +} diff --git a/learning/tour-of-beam/frontend/lib/pages/tour/widgets/markdown/code_builder.dart b/learning/tour-of-beam/frontend/lib/pages/tour/widgets/markdown/code_builder.dart new file mode 100644 index 000000000000..c00bfc3f830f --- /dev/null +++ b/learning/tour-of-beam/frontend/lib/pages/tour/widgets/markdown/code_builder.dart @@ -0,0 +1,60 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +import 'package:flutter/material.dart'; +import 'package:flutter_markdown/flutter_markdown.dart'; +import 'package:markdown/markdown.dart' as md; +import 'package:playground_components/playground_components.dart'; + +class MarkdownCodeBuilder extends MarkdownElementBuilder { + @override + Widget? visitElementAfter(md.Element element, TextStyle? preferredStyle) { + final String textContent = element.textContent; + final bool isCodeBlock = textContent.contains('\n'); + if (isCodeBlock) { + /// codeblockDecoration is applied + return null; + } + return _InlineCode(text: textContent); + } +} + +class _InlineCode extends StatelessWidget { + final String text; + const _InlineCode({required this.text}); + + @override + Widget build(BuildContext context) { + return Container( + padding: const EdgeInsets.symmetric( + horizontal: BeamSizes.size3, + vertical: BeamSizes.size1, + ), + decoration: BoxDecoration( + color: Theme.of(context) + .extension()! + .codeBackgroundColor, + borderRadius: BorderRadius.circular(BeamSizes.size3), + ), + child: Text( + text, + style: TextStyle(color: Theme.of(context).primaryColor), + ), + ); + } +} diff --git a/learning/tour-of-beam/frontend/lib/pages/tour/widgets/markdown/tob_markdown.dart b/learning/tour-of-beam/frontend/lib/pages/tour/widgets/markdown/tob_markdown.dart new file mode 100644 index 000000000000..0c8e74184998 --- /dev/null +++ b/learning/tour-of-beam/frontend/lib/pages/tour/widgets/markdown/tob_markdown.dart @@ -0,0 +1,52 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +import 'package:flutter/material.dart'; +import 'package:flutter_markdown/flutter_markdown.dart'; +import 'package:playground_components/playground_components.dart'; + +import 'code_builder.dart'; + +class TobMarkdown extends StatelessWidget { + final String data; + final EdgeInsets padding; + final bool shrinkWrap; + + const TobMarkdown({ + required this.data, + required this.padding, + this.shrinkWrap = true, + }); + + static const _spaceCount = 4; + + @override + Widget build(BuildContext context) { + return Markdown( + data: data.tabsToSpaces(_spaceCount), + builders: { + 'code': MarkdownCodeBuilder(), + }, + padding: padding, + selectable: true, + shrinkWrap: shrinkWrap, + styleSheet: + Theme.of(context).extension()!.markdownStyle, + ); + } +} diff --git a/learning/tour-of-beam/frontend/lib/pages/tour/widgets/playground_demo.dart b/learning/tour-of-beam/frontend/lib/pages/tour/widgets/playground_demo.dart index 4b5347a24810..c8016a120caf 100644 --- a/learning/tour-of-beam/frontend/lib/pages/tour/widgets/playground_demo.dart +++ b/learning/tour-of-beam/frontend/lib/pages/tour/widgets/playground_demo.dart @@ -48,7 +48,6 @@ class PlaygroundDemoWidget extends StatelessWidget { first: SnippetEditor( controller: snippetController, isEditable: true, - goToContextLine: false, ), second: OutputWidget( playgroundController: playgroundController, diff --git a/learning/tour-of-beam/frontend/lib/pages/tour/widgets/solution_button.dart b/learning/tour-of-beam/frontend/lib/pages/tour/widgets/solution_button.dart new file mode 100644 index 000000000000..5318e6514288 --- /dev/null +++ b/learning/tour-of-beam/frontend/lib/pages/tour/widgets/solution_button.dart @@ -0,0 +1,51 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +import 'package:easy_localization/easy_localization.dart'; +import 'package:flutter/material.dart'; +import 'package:flutter_svg/svg.dart'; + +import '../../../assets/assets.gen.dart'; +import '../state.dart'; + +class SolutionButton extends StatelessWidget { + final TourNotifier tourNotifier; + + const SolutionButton({ + required this.tourNotifier, + }); + + @override + Widget build(BuildContext context) { + return AnimatedBuilder( + animation: tourNotifier, + builder: (context, child) => TextButton.icon( + style: ButtonStyle( + backgroundColor: MaterialStateProperty.all( + tourNotifier.isShowingSolution + ? Theme.of(context).splashColor + : null, + ), + ), + onPressed: tourNotifier.toggleShowingSolution, + icon: SvgPicture.asset(Assets.svg.solution), + label: const Text('ui.solution').tr(), + ), + ); + } +} diff --git a/learning/tour-of-beam/frontend/lib/pages/tour/widgets/unit.dart b/learning/tour-of-beam/frontend/lib/pages/tour/widgets/unit.dart index 3675fec64ab2..b9ca640f7d93 100644 --- a/learning/tour-of-beam/frontend/lib/pages/tour/widgets/unit.dart +++ b/learning/tour-of-beam/frontend/lib/pages/tour/widgets/unit.dart @@ -17,12 +17,13 @@ */ import 'package:flutter/material.dart'; +import 'package:get_it/get_it.dart'; import 'package:playground_components/playground_components.dart'; -import '../../../assets/assets.gen.dart'; +import '../../../cache/unit_progress.dart'; import '../../../models/unit.dart'; import '../controllers/content_tree.dart'; -import 'tour_progress_indicator.dart'; +import 'binary_progress.dart'; class UnitWidget extends StatelessWidget { final UnitModel unit; @@ -35,6 +36,8 @@ class UnitWidget extends StatelessWidget { @override Widget build(BuildContext context) { + final unitProgressCache = GetIt.instance.get(); + return AnimatedBuilder( animation: contentTreeController, builder: (context, child) { @@ -50,9 +53,12 @@ class UnitWidget extends StatelessWidget { padding: const EdgeInsets.symmetric(vertical: BeamSizes.size10), child: Row( children: [ - TourProgressIndicator( - assetPath: Assets.svg.unitProgress0, - isSelected: isSelected, + AnimatedBuilder( + animation: unitProgressCache, + builder: (context, child) => BinaryProgressIndicator( + isCompleted: unitProgressCache.isUnitCompleted(unit.id), + isSelected: isSelected, + ), ), Expanded( child: Text(unit.title), diff --git a/learning/tour-of-beam/frontend/lib/pages/tour/widgets/unit_content.dart b/learning/tour-of-beam/frontend/lib/pages/tour/widgets/unit_content.dart index 3b8c38c7ffc4..314c01aa6532 100644 --- a/learning/tour-of-beam/frontend/lib/pages/tour/widgets/unit_content.dart +++ b/learning/tour-of-beam/frontend/lib/pages/tour/widgets/unit_content.dart @@ -17,66 +17,214 @@ */ import 'package:flutter/material.dart'; -import 'package:flutter_markdown/flutter_markdown.dart'; -import 'package:markdown/markdown.dart' as md; import 'package:playground_components/playground_components.dart'; +import '../../../constants/sizes.dart'; import '../../../models/unit_content.dart'; +import '../state.dart'; +import 'complete_unit_button.dart'; +import 'hints.dart'; +import 'markdown/tob_markdown.dart'; +import 'solution_button.dart'; class UnitContentWidget extends StatelessWidget { + final TourNotifier tourNotifier; + + const UnitContentWidget(this.tourNotifier); + + @override + Widget build(BuildContext context) { + final themeData = Theme.of(context); + + return Container( + // TODO(nausharipov): look for a better way to constrain the height + height: MediaQuery.of(context).size.height - + BeamSizes.appBarHeight - + TobSizes.footerHeight, + decoration: BoxDecoration( + color: themeData.backgroundColor, + border: Border( + left: BorderSide(color: themeData.dividerColor), + ), + ), + child: AnimatedBuilder( + animation: tourNotifier, + builder: (context, child) { + final currentUnitContent = tourNotifier.currentUnitContent; + + return Column( + mainAxisAlignment: MainAxisAlignment.spaceBetween, + children: [ + Expanded( + child: _Content( + tourNotifier: tourNotifier, + unitContent: currentUnitContent, + ), + ), + _ContentFooter(tourNotifier), + ], + ); + }, + ), + ); + } +} + +class _Content extends StatelessWidget { + final TourNotifier tourNotifier; + final UnitContentModel? unitContent; + + const _Content({ + required this.tourNotifier, + required this.unitContent, + }); + + @override + Widget build(BuildContext context) { + final content = unitContent; + + if (content == null) { + return Container(); + } + if (content.isChallenge) { + return _ChallengeContent( + tourNotifier: tourNotifier, + unitContent: content, + ); + } + return ListView( + children: [ + _Title(title: content.title), + TobMarkdown( + padding: const EdgeInsets.all( + BeamSizes.size12, + ), + data: content.description, + ), + ], + ); + } +} + +class _Title extends StatelessWidget { + final String title; + + const _Title({ + required this.title, + }); + + @override + Widget build(BuildContext context) { + return Padding( + padding: const EdgeInsets.only( + top: BeamSizes.size12, + left: BeamSizes.size12, + right: BeamSizes.size12, + ), + child: Text( + title, + style: Theme.of(context).textTheme.headlineLarge, + textAlign: TextAlign.start, + ), + ); + } +} + +class _ChallengeContent extends StatelessWidget { + final TourNotifier tourNotifier; final UnitContentModel unitContent; - const UnitContentWidget({ + const _ChallengeContent({ required this.unitContent, + required this.tourNotifier, }); @override Widget build(BuildContext context) { - return Markdown( - selectable: true, - data: unitContent.description, - builders: { - 'code': CodeBuilder(), - }, - styleSheet: - Theme.of(context).extension()!.markdownStyle, + return Column( + mainAxisSize: MainAxisSize.min, + children: [ + Row( + mainAxisAlignment: MainAxisAlignment.spaceBetween, + crossAxisAlignment: CrossAxisAlignment.start, + children: [ + _Title(title: unitContent.title), + _ChallengeButtons( + unitContent: unitContent, + tourNotifier: tourNotifier, + ), + ], + ), + TobMarkdown( + padding: const EdgeInsets.all(BeamSizes.size12), + data: unitContent.description, + ), + ], ); } } -class CodeBuilder extends MarkdownElementBuilder { +class _ChallengeButtons extends StatelessWidget { + final TourNotifier tourNotifier; + final UnitContentModel unitContent; + + const _ChallengeButtons({ + required this.tourNotifier, + required this.unitContent, + }); + + static const _buttonPadding = EdgeInsets.only( + top: BeamSizes.size10, + right: BeamSizes.size10, + ); + @override - Widget? visitElementAfter(md.Element element, TextStyle? preferredStyle) { - final String textContent = element.textContent; - final bool isCodeBlock = textContent.contains('\n'); - if (isCodeBlock) { - /// codeblockDecoration is applied - return null; - } - return _InlineCode(text: textContent); + Widget build(BuildContext context) { + final hints = unitContent.hints; + + return Row( + mainAxisAlignment: MainAxisAlignment.end, + children: [ + if (unitContent.isChallenge) + Padding( + padding: _buttonPadding, + child: HintsWidget( + hints: hints, + ), + ), + if (tourNotifier.doesCurrentUnitHaveSolution) + Padding( + padding: _buttonPadding, + child: SolutionButton(tourNotifier: tourNotifier), + ), + ], + ); } } -class _InlineCode extends StatelessWidget { - final String text; - const _InlineCode({required this.text}); +class _ContentFooter extends StatelessWidget { + final TourNotifier tourNotifier; + const _ContentFooter(this.tourNotifier); @override Widget build(BuildContext context) { + final themeData = Theme.of(context); + return Container( - padding: const EdgeInsets.symmetric( - horizontal: BeamSizes.size3, - vertical: BeamSizes.size1, - ), decoration: BoxDecoration( - color: Theme.of(context) - .extension()! - .codeBackgroundColor, - borderRadius: BorderRadius.circular(BeamSizes.size3), + border: Border( + top: BorderSide(color: themeData.dividerColor), + ), + color: + themeData.extension()?.secondaryBackgroundColor, ), - child: Text( - text, - style: TextStyle(color: Theme.of(context).primaryColor), + width: double.infinity, + padding: const EdgeInsets.all(BeamSizes.size20), + child: Row( + mainAxisAlignment: MainAxisAlignment.end, + children: [ + CompleteUnitButton(tourNotifier), + ], ), ); } diff --git a/learning/tour-of-beam/frontend/lib/pages/welcome/screen.dart b/learning/tour-of-beam/frontend/lib/pages/welcome/screen.dart index 30d07ed9b574..3e9341a6ff5f 100644 --- a/learning/tour-of-beam/frontend/lib/pages/welcome/screen.dart +++ b/learning/tour-of-beam/frontend/lib/pages/welcome/screen.dart @@ -16,53 +16,59 @@ * limitations under the License. */ +import 'package:app_state/app_state.dart'; import 'package:easy_localization/easy_localization.dart'; import 'package:flutter/gestures.dart'; import 'package:flutter/material.dart'; import 'package:flutter_svg/svg.dart'; +import 'package:get_it/get_it.dart'; import 'package:playground_components/playground_components.dart'; import '../../assets/assets.gen.dart'; +import '../../auth/notifier.dart'; import '../../components/builders/content_tree.dart'; import '../../components/builders/sdks.dart'; +import '../../components/login/content.dart'; import '../../components/scaffold.dart'; import '../../constants/sizes.dart'; import '../../models/module.dart'; +import '../../state.dart'; +import '../tour/page.dart'; import 'state.dart'; class WelcomeScreen extends StatelessWidget { - final WelcomeNotifier notifier; + final WelcomeNotifier welcomeNotifier; - const WelcomeScreen(this.notifier); + const WelcomeScreen(this.welcomeNotifier); @override Widget build(BuildContext context) { return TobScaffold( child: SingleChildScrollView( child: MediaQuery.of(context).size.width > ScreenBreakpoints.twoColumns - ? _WideWelcome(notifier) - : _NarrowWelcome(notifier), + ? _WideWelcome(welcomeNotifier) + : _NarrowWelcome(welcomeNotifier), ), ); } } class _WideWelcome extends StatelessWidget { - final WelcomeNotifier notifier; + final WelcomeNotifier welcomeNotifier; - const _WideWelcome(this.notifier); + const _WideWelcome(this.welcomeNotifier); @override Widget build(BuildContext context) { return IntrinsicHeight( child: Row( crossAxisAlignment: CrossAxisAlignment.start, - children: [ + children: const [ Expanded( - child: _SdkSelection(notifier), + child: _SdkSelection(), ), Expanded( - child: _TourSummary(notifier), + child: _TourSummary(), ), ], ), @@ -71,32 +77,32 @@ class _WideWelcome extends StatelessWidget { } class _NarrowWelcome extends StatelessWidget { - final WelcomeNotifier notifier; + final WelcomeNotifier welcomeNotifier; - const _NarrowWelcome(this.notifier); + const _NarrowWelcome(this.welcomeNotifier); @override Widget build(BuildContext context) { return Column( - children: [ - _SdkSelection(notifier), - _TourSummary(notifier), + children: const [ + _SdkSelection(), + _TourSummary(), ], ); } } class _SdkSelection extends StatelessWidget { - final WelcomeNotifier notifier; - - const _SdkSelection(this.notifier); + const _SdkSelection(); static const double _minimalHeight = 900; @override Widget build(BuildContext context) { + final appNotifier = GetIt.instance.get(); return Container( constraints: BoxConstraints( + // TODO(nausharipov): look for a better way to constrain the height minHeight: MediaQuery.of(context).size.height - BeamSizes.appBarHeight - TobSizes.footerHeight, @@ -127,12 +133,14 @@ class _SdkSelection extends StatelessWidget { } return AnimatedBuilder( - animation: notifier, - builder: (context, child) => _Buttons( + animation: appNotifier, + builder: (context, child) => _SdkButtons( sdks: sdks, - sdkId: notifier.sdkId, - setSdkId: (v) => notifier.sdkId = v, - onStartPressed: notifier.startTour, + sdkId: appNotifier.sdkId, + setSdkId: (v) => appNotifier.sdkId = v, + onStartPressed: () { + _startTour(appNotifier.sdkId); + }, ), ); }, @@ -144,19 +152,25 @@ class _SdkSelection extends StatelessWidget { ), ); } + + void _startTour(String? sdkId) { + if (sdkId == null) { + return; + } + GetIt.instance.get().push(TourPage(sdkId: sdkId)); + } } class _TourSummary extends StatelessWidget { - final WelcomeNotifier notifier; - - const _TourSummary(this.notifier); + const _TourSummary(); @override Widget build(BuildContext context) { + final appNotifier = GetIt.instance.get(); return AnimatedBuilder( - animation: notifier, + animation: appNotifier, builder: (context, child) { - final sdkId = notifier.sdkId; + final sdkId = appNotifier.sdkId; if (sdkId == null) { return Container(); } @@ -211,13 +225,32 @@ class _IntroText extends StatelessWidget { color: BeamColors.grey2, constraints: const BoxConstraints(maxWidth: _dividerMaxWidth), ), - RichText( - text: TextSpan( - style: Theme.of(context).textTheme.bodyLarge, - children: [ + const _IntroTextBody(), + ], + ); + } +} + +class _IntroTextBody extends StatelessWidget { + const _IntroTextBody(); + + @override + Widget build(BuildContext context) { + final authNotifier = GetIt.instance.get(); + return AnimatedBuilder( + animation: authNotifier, + builder: (context, child) => RichText( + text: TextSpan( + style: Theme.of(context).textTheme.bodyLarge, + children: [ + TextSpan( + text: 'pages.welcome.ifSaveProgress'.tr(), + ), + if (authNotifier.isAuthenticated) TextSpan( - text: 'pages.welcome.ifSaveProgress'.tr(), - ), + text: 'pages.welcome.signIn'.tr(), + ) + else TextSpan( text: 'pages.welcome.signIn'.tr(), style: Theme.of(context) @@ -226,25 +259,37 @@ class _IntroText extends StatelessWidget { .copyWith(color: Theme.of(context).primaryColor), recognizer: TapGestureRecognizer() ..onTap = () { - // TODO(nausharipov): sign in + _openLoginDialog(context); }, ), - TextSpan(text: '\n\n${'pages.welcome.selectLanguage'.tr()}'), - ], - ), + TextSpan(text: '\n\n${'pages.welcome.selectLanguage'.tr()}'), + ], ), - ], + ), + ); + } + + void _openLoginDialog(BuildContext context) { + showDialog( + context: context, + builder: (context) => Dialog( + child: LoginContent( + onLoggedIn: () { + Navigator.pop(context); + }, + ), + ), ); } } -class _Buttons extends StatelessWidget { +class _SdkButtons extends StatelessWidget { final List sdks; final String? sdkId; final ValueChanged setSdkId; final VoidCallback onStartPressed; - const _Buttons({ + const _SdkButtons({ required this.sdks, required this.sdkId, required this.setSdkId, diff --git a/learning/tour-of-beam/frontend/lib/pages/welcome/state.dart b/learning/tour-of-beam/frontend/lib/pages/welcome/state.dart index d95b288a61be..0b381a995743 100644 --- a/learning/tour-of-beam/frontend/lib/pages/welcome/state.dart +++ b/learning/tour-of-beam/frontend/lib/pages/welcome/state.dart @@ -18,32 +18,10 @@ import 'package:app_state/app_state.dart'; import 'package:flutter/widgets.dart'; -import 'package:get_it/get_it.dart'; - -import '../tour/page.dart'; import 'path.dart'; class WelcomeNotifier extends ChangeNotifier with PageStateMixin { - String? _sdkId; - + // TODO(nausharipov): remove state from Welcome? @override PagePath get path => const WelcomePath(); - - String? get sdkId => _sdkId; - - set sdkId(String? newValue) { - _sdkId = newValue; - notifyListeners(); - } - - void startTour() { - final sdkId = _sdkId; - if (sdkId == null) { - return; - } - - GetIt.instance.get().push( - TourPage(sdkId: sdkId), - ); - } } diff --git a/learning/tour-of-beam/frontend/lib/repositories/client/client.dart b/learning/tour-of-beam/frontend/lib/repositories/client/client.dart index bdeb3214316c..66fd4a996316 100644 --- a/learning/tour-of-beam/frontend/lib/repositories/client/client.dart +++ b/learning/tour-of-beam/frontend/lib/repositories/client/client.dart @@ -19,6 +19,7 @@ import '../../models/content_tree.dart'; import '../../models/unit_content.dart'; import '../models/get_sdks_response.dart'; +import '../models/get_user_progress_response.dart'; abstract class TobClient { Future getContentTree(String sdkId); @@ -26,4 +27,8 @@ abstract class TobClient { Future getSdks(); Future getUnitContent(String sdkId, String unitId); + + Future getUserProgress(String sdkId); + + Future postUnitComplete(String sdkId, String id); } diff --git a/learning/tour-of-beam/frontend/lib/repositories/client/cloud_functions_client.dart b/learning/tour-of-beam/frontend/lib/repositories/client/cloud_functions_client.dart index e7029fcd829d..8986de435290 100644 --- a/learning/tour-of-beam/frontend/lib/repositories/client/cloud_functions_client.dart +++ b/learning/tour-of-beam/frontend/lib/repositories/client/cloud_functions_client.dart @@ -17,16 +17,21 @@ */ import 'dart:convert'; +import 'dart:io'; +import 'package:get_it/get_it.dart'; import 'package:http/http.dart' as http; +import '../../auth/notifier.dart'; import '../../config.dart'; import '../../models/content_tree.dart'; import '../../models/unit_content.dart'; import '../models/get_content_tree_response.dart'; import '../models/get_sdks_response.dart'; +import '../models/get_user_progress_response.dart'; import 'client.dart'; +// TODO(nausharipov): add repository and handle exceptions class CloudFunctionsTobClient extends TobClient { @override Future getSdks() async { @@ -64,4 +69,36 @@ class CloudFunctionsTobClient extends TobClient { final map = jsonDecode(utf8.decode(json.bodyBytes)) as Map; return UnitContentModel.fromJson(map); } + + @override + Future getUserProgress(String sdkId) async { + final token = await GetIt.instance.get().getToken(); + if (token == null) { + return null; + } + final json = await http.get( + Uri.parse( + '$cloudFunctionsBaseUrl/getUserProgress?sdk=$sdkId', + ), + headers: { + HttpHeaders.authorizationHeader: 'Bearer $token', + }, + ); + final map = jsonDecode(utf8.decode(json.bodyBytes)) as Map; + final response = GetUserProgressResponse.fromJson(map); + return response; + } + + @override + Future postUnitComplete(String sdkId, String id) async { + final token = await GetIt.instance.get().getToken(); + await http.post( + Uri.parse( + '$cloudFunctionsBaseUrl/postUnitComplete?sdk=$sdkId&id=$id', + ), + headers: { + HttpHeaders.authorizationHeader: 'Bearer $token', + }, + ); + } } diff --git a/learning/tour-of-beam/frontend/lib/repositories/models/get_user_progress_response.dart b/learning/tour-of-beam/frontend/lib/repositories/models/get_user_progress_response.dart new file mode 100644 index 000000000000..b9ef766c99dd --- /dev/null +++ b/learning/tour-of-beam/frontend/lib/repositories/models/get_user_progress_response.dart @@ -0,0 +1,33 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +import 'package:json_annotation/json_annotation.dart'; + +import '../../models/unit_progress.dart'; + +part 'get_user_progress_response.g.dart'; + +@JsonSerializable(createToJson: false) +class GetUserProgressResponse { + final List units; + + const GetUserProgressResponse({required this.units}); + + factory GetUserProgressResponse.fromJson(Map json) => + _$GetUserProgressResponseFromJson(json); +} diff --git a/learning/tour-of-beam/frontend/lib/repositories/models/get_user_progress_response.g.dart b/learning/tour-of-beam/frontend/lib/repositories/models/get_user_progress_response.g.dart new file mode 100644 index 000000000000..3f4bfae2e294 --- /dev/null +++ b/learning/tour-of-beam/frontend/lib/repositories/models/get_user_progress_response.g.dart @@ -0,0 +1,15 @@ +// GENERATED CODE - DO NOT MODIFY BY HAND + +part of 'get_user_progress_response.dart'; + +// ************************************************************************** +// JsonSerializableGenerator +// ************************************************************************** + +GetUserProgressResponse _$GetUserProgressResponseFromJson( + Map json) => + GetUserProgressResponse( + units: (json['units'] as List) + .map((e) => UnitProgressModel.fromJson(e as Map)) + .toList(), + ); diff --git a/learning/tour-of-beam/frontend/lib/repositories/models/module.g.dart b/learning/tour-of-beam/frontend/lib/repositories/models/module.g.dart index 05c3e51f804a..93cda74866df 100644 --- a/learning/tour-of-beam/frontend/lib/repositories/models/module.g.dart +++ b/learning/tour-of-beam/frontend/lib/repositories/models/module.g.dart @@ -17,7 +17,6 @@ ModuleResponseModel _$ModuleResponseModelFromJson(Map json) => ); const _$ComplexityEnumMap = { - Complexity.unspecified: 'UNSPECIFIED', Complexity.basic: 'BASIC', Complexity.medium: 'MEDIUM', Complexity.advanced: 'ADVANCED', diff --git a/learning/tour-of-beam/frontend/lib/state.dart b/learning/tour-of-beam/frontend/lib/state.dart new file mode 100644 index 000000000000..c67b037d8d92 --- /dev/null +++ b/learning/tour-of-beam/frontend/lib/state.dart @@ -0,0 +1,58 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +import 'dart:async'; + +import 'package:flutter/material.dart'; +import 'package:playground_components/playground_components.dart'; +import 'package:shared_preferences/shared_preferences.dart'; + +import 'constants/storage_keys.dart'; + +class AppNotifier extends ChangeNotifier { + String? _sdkId; + + AppNotifier() { + unawaited(_readSdkId()); + } + + // TODO(nausharipov): remove sdkId getter and setter + String? get sdkId => _sdkId; + Sdk? get sdk => Sdk.tryParse(_sdkId); + + set sdkId(String? newValue) { + _sdkId = newValue; + unawaited(_writeSdkId(newValue)); + notifyListeners(); + } + + Future _writeSdkId(String? value) async { + final preferences = await SharedPreferences.getInstance(); + if (value != null) { + await preferences.setString(StorageKeys.sdkId, value); + } else { + await preferences.remove(StorageKeys.sdkId); + } + } + + Future _readSdkId() async { + final preferences = await SharedPreferences.getInstance(); + _sdkId = preferences.getString(StorageKeys.sdkId); + notifyListeners(); + } +} diff --git a/learning/tour-of-beam/frontend/pubspec.lock b/learning/tour-of-beam/frontend/pubspec.lock index 51fb2a0fd730..258b6cabd254 100644 --- a/learning/tour-of-beam/frontend/pubspec.lock +++ b/learning/tour-of-beam/frontend/pubspec.lock @@ -8,6 +8,13 @@ packages: url: "https://pub.dartlang.org" source: hosted version: "46.0.0" + _flutterfire_internals: + dependency: transitive + description: + name: _flutterfire_internals + url: "https://pub.dartlang.org" + source: hosted + version: "1.0.12" aligned_dialog: dependency: transitive description: @@ -28,7 +35,7 @@ packages: name: app_state url: "https://pub.dartlang.org" source: hosted - version: "0.8.1" + version: "0.8.4" archive: dependency: transitive description: @@ -232,8 +239,15 @@ packages: url: "https://pub.dartlang.org" source: hosted version: "0.0.2" + enum_map: + dependency: transitive + description: + name: enum_map + url: "https://pub.dartlang.org" + source: hosted + version: "0.2.1" equatable: - dependency: "direct dev" + dependency: "direct main" description: name: equatable url: "https://pub.dartlang.org" @@ -260,6 +274,48 @@ packages: url: "https://pub.dartlang.org" source: hosted version: "6.1.2" + firebase_auth: + dependency: "direct main" + description: + name: firebase_auth + url: "https://pub.dartlang.org" + source: hosted + version: "4.1.4" + firebase_auth_platform_interface: + dependency: "direct main" + description: + name: firebase_auth_platform_interface + url: "https://pub.dartlang.org" + source: hosted + version: "6.11.7" + firebase_auth_web: + dependency: transitive + description: + name: firebase_auth_web + url: "https://pub.dartlang.org" + source: hosted + version: "5.1.3" + firebase_core: + dependency: "direct main" + description: + name: firebase_core + url: "https://pub.dartlang.org" + source: hosted + version: "2.4.1" + firebase_core_platform_interface: + dependency: transitive + description: + name: firebase_core_platform_interface + url: "https://pub.dartlang.org" + source: hosted + version: "4.5.2" + firebase_core_web: + dependency: transitive + description: + name: firebase_core_web + url: "https://pub.dartlang.org" + source: hosted + version: "2.1.0" fixnum: dependency: transitive description: @@ -278,7 +334,7 @@ packages: name: flutter_code_editor url: "https://pub.dartlang.org" source: hosted - version: "0.1.8" + version: "0.2.5" flutter_driver: dependency: transitive description: flutter @@ -341,6 +397,13 @@ packages: description: flutter source: sdk version: "0.0.0" + fluttertoast: + dependency: transitive + description: + name: fluttertoast + url: "https://pub.dartlang.org" + source: hosted + version: "8.1.1" frontend_server_client: dependency: transitive description: @@ -374,6 +437,41 @@ packages: url: "https://pub.dartlang.org" source: hosted version: "3.0.1" + google_sign_in: + dependency: "direct main" + description: + name: google_sign_in + url: "https://pub.dartlang.org" + source: hosted + version: "5.4.2" + google_sign_in_android: + dependency: transitive + description: + name: google_sign_in_android + url: "https://pub.dartlang.org" + source: hosted + version: "6.1.4" + google_sign_in_ios: + dependency: transitive + description: + name: google_sign_in_ios + url: "https://pub.dartlang.org" + source: hosted + version: "5.5.1" + google_sign_in_platform_interface: + dependency: transitive + description: + name: google_sign_in_platform_interface + url: "https://pub.dartlang.org" + source: hosted + version: "2.3.0" + google_sign_in_web: + dependency: transitive + description: + name: google_sign_in_web + url: "https://pub.dartlang.org" + source: hosted + version: "0.10.2" googleapis_auth: dependency: transitive description: @@ -477,6 +575,13 @@ packages: url: "https://pub.dartlang.org" source: hosted version: "6.4.1" + keyed_collection_widgets: + dependency: transitive + description: + name: keyed_collection_widgets + url: "https://pub.dartlang.org" + source: hosted + version: "0.4.3" linked_scroll_controller: dependency: transitive description: @@ -637,7 +742,7 @@ packages: name: plugin_platform_interface url: "https://pub.dartlang.org" source: hosted - version: "2.1.2" + version: "2.1.3" pool: dependency: transitive description: @@ -680,13 +785,20 @@ packages: url: "https://pub.dartlang.org" source: hosted version: "1.2.1" + quiver: + dependency: transitive + description: + name: quiver + url: "https://pub.dartlang.org" + source: hosted + version: "3.1.0" rxdart: dependency: transitive description: name: rxdart url: "https://pub.dartlang.org" source: hosted - version: "0.27.5" + version: "0.27.7" scrollable_positioned_list: dependency: transitive description: diff --git a/learning/tour-of-beam/frontend/pubspec.yaml b/learning/tour-of-beam/frontend/pubspec.yaml index 22fa61ebbacf..ee3b6ae3d77e 100644 --- a/learning/tour-of-beam/frontend/pubspec.yaml +++ b/learning/tour-of-beam/frontend/pubspec.yaml @@ -27,16 +27,21 @@ environment: flutter: '>=3.3.2' dependencies: - app_state: ^0.8.1 + app_state: ^0.8.4 collection: ^1.16.0 easy_localization: ^3.0.1 easy_localization_ext: ^0.1.0 easy_localization_loader: ^1.0.0 + equatable: ^2.0.5 + firebase_auth: ^4.1.1 + firebase_auth_platform_interface: ^6.11.7 + firebase_core: ^2.1.1 flutter: { sdk: flutter } flutter_markdown: ^0.6.12 flutter_svg: ^1.0.3 get_it: ^7.2.0 google_fonts: ^3.0.1 + google_sign_in: ^5.4.2 http: ^0.13.5 json_annotation: ^4.7.0 markdown: ^6.0.1 @@ -48,7 +53,6 @@ dependencies: dev_dependencies: build_runner: ^2.2.0 - equatable: ^2.0.5 flutter_gen_runner: ^4.3.0 flutter_test: { sdk: flutter } integration_test: { sdk: flutter } diff --git a/learning/tour-of-beam/frontend/test/main_test.dart b/learning/tour-of-beam/frontend/test/main_test.dart new file mode 100644 index 000000000000..dc0b1dd00b03 --- /dev/null +++ b/learning/tour-of-beam/frontend/test/main_test.dart @@ -0,0 +1,21 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +void main() { + // TODO(nausharipov): add unit and integration tests: // https://github.com/apache/beam/issues/24982 +} diff --git a/learning/tour-of-beam/learning-content/java/content-info.yaml b/learning/tour-of-beam/learning-content/content-info.yaml similarity index 93% rename from learning/tour-of-beam/learning-content/java/content-info.yaml rename to learning/tour-of-beam/learning-content/content-info.yaml index 7406bb513e32..1260e5ba1669 100644 --- a/learning/tour-of-beam/learning-content/java/content-info.yaml +++ b/learning/tour-of-beam/learning-content/content-info.yaml @@ -17,6 +17,10 @@ # under the License. # -sdk: Java +sdk: + - Java + - Python + - Go content: - - introduction \ No newline at end of file + - introduction + \ No newline at end of file diff --git a/learning/tour-of-beam/learning-content/go/content-info.yaml b/learning/tour-of-beam/learning-content/go/content-info.yaml deleted file mode 100644 index 8b75fa8771d2..000000000000 --- a/learning/tour-of-beam/learning-content/go/content-info.yaml +++ /dev/null @@ -1,22 +0,0 @@ -# -# Licensed to the Apache Software Foundation (ASF) under one -# or more contributor license agreements. See the NOTICE file -# distributed with this work for additional information -# regarding copyright ownership. The ASF licenses this file -# to you under the Apache License, Version 2.0 (the -# "License"); you may not use this file except in compliance -# with the License. You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, -# software distributed under the License is distributed on an -# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY -# KIND, either express or implied. See the License for the -# specific language governing permissions and limitations -# under the License. -# - -sdk: Go -content: - - introduction \ No newline at end of file diff --git a/learning/tour-of-beam/learning-content/go/introduction/introduction-concepts/creating-collections/from-memory/description.md b/learning/tour-of-beam/learning-content/go/introduction/introduction-concepts/creating-collections/from-memory/description.md deleted file mode 100644 index 0a990668241e..000000000000 --- a/learning/tour-of-beam/learning-content/go/introduction/introduction-concepts/creating-collections/from-memory/description.md +++ /dev/null @@ -1,56 +0,0 @@ - -### Creating PCollection - -Now that you know how to create a Beam pipeline and pass parameters into it, it is time to learn how to create an initial `PCollection` and fill it with data. - -There are several options: - -→ You can create a PCollection of data stored in an in-memory collection class in your driver program. - -→ You can also read the data from a variety of external sources such as local or cloud-based files, databases, or other sources using Beam-provided I/O adapters - -Through the tour, most of the examples use either a `PCollection` created from in-memory data or data read from one of the cloud buckets "beam-examples" or "dataflow-samples". These buckets contain sample data sets specifically created for educational purposes. - -We encourage you to take a look, explore these data sets and use them while learning Apache Beam. - -### Creating a PCollection from in-memory data - -You can use the Beam-provided Create transform to create a `PCollection` from an in-memory Go Collection. You can apply Create transform directly to your Pipeline object itself. - -The following example code shows how to do this: - -``` -func main() { - ctx := context.Background() - - // First create pipeline - p, s := beam.NewPipelineWithRoot() - - //Now create the PCollection using list of strings - strings := beam.Create(s, "To", "be", "or", "not", "to", "be","that", "is", "the", "question") - - //Create a numerical PCollection - numbers := beam.Create(s, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10) - -} -``` - -### Playground exercise - -You can find the complete code of this example in the playground window you can run and experiment with. - -One of the differences you will notice is that it also contains the part to output `PCollection` elements to the console. Don’t worry if you don’t quite understand it, as the concept of `ParDo` transform will be explained later in the course. Feel free, however, to use it in exercises and challenges to explore results. - -Do you also notice in what order elements of PCollection appear in the console? Why is that? You can also run the example several times to see if the output stays the same or changes. \ No newline at end of file diff --git a/learning/tour-of-beam/learning-content/go/introduction/introduction-concepts/creating-collections/from-memory/unit-info.yaml b/learning/tour-of-beam/learning-content/go/introduction/introduction-concepts/creating-collections/from-memory/unit-info.yaml deleted file mode 100644 index d26548d6cda3..000000000000 --- a/learning/tour-of-beam/learning-content/go/introduction/introduction-concepts/creating-collections/from-memory/unit-info.yaml +++ /dev/null @@ -1,22 +0,0 @@ -# -# Licensed to the Apache Software Foundation (ASF) under one -# or more contributor license agreements. See the NOTICE file -# distributed with this work for additional information -# regarding copyright ownership. The ASF licenses this file -# to you under the Apache License, Version 2.0 (the -# "License"); you may not use this file except in compliance -# with the License. You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, -# software distributed under the License is distributed on an -# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY -# KIND, either express or implied. See the License for the -# specific language governing permissions and limitations -# under the License. -# - -id: from-memory -name: Creating in-memory PCollections -taskName: ParDo \ No newline at end of file diff --git a/learning/tour-of-beam/learning-content/go/introduction/introduction-concepts/creating-collections/group-info.yaml b/learning/tour-of-beam/learning-content/go/introduction/introduction-concepts/creating-collections/group-info.yaml deleted file mode 100644 index 418ed516f2b0..000000000000 --- a/learning/tour-of-beam/learning-content/go/introduction/introduction-concepts/creating-collections/group-info.yaml +++ /dev/null @@ -1,25 +0,0 @@ -# -# Licensed to the Apache Software Foundation (ASF) under one -# or more contributor license agreements. See the NOTICE file -# distributed with this work for additional information -# regarding copyright ownership. The ASF licenses this file -# to you under the Apache License, Version 2.0 (the -# "License"); you may not use this file except in compliance -# with the License. You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, -# software distributed under the License is distributed on an -# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY -# KIND, either express or implied. See the License for the -# specific language governing permissions and limitations -# under the License. -# - -id: creating-collections -name: Creating Collections -content: -- from-memory -- reading-from-text -- reading-from-csv \ No newline at end of file diff --git a/learning/tour-of-beam/learning-content/go/introduction/introduction-concepts/creating-collections/reading-from-csv/unit-info.yaml b/learning/tour-of-beam/learning-content/go/introduction/introduction-concepts/creating-collections/reading-from-csv/unit-info.yaml deleted file mode 100644 index 3d12a4dc6532..000000000000 --- a/learning/tour-of-beam/learning-content/go/introduction/introduction-concepts/creating-collections/reading-from-csv/unit-info.yaml +++ /dev/null @@ -1,22 +0,0 @@ -# -# Licensed to the Apache Software Foundation (ASF) under one -# or more contributor license agreements. See the NOTICE file -# distributed with this work for additional information -# regarding copyright ownership. The ASF licenses this file -# to you under the Apache License, Version 2.0 (the -# "License"); you may not use this file except in compliance -# with the License. You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, -# software distributed under the License is distributed on an -# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY -# KIND, either express or implied. See the License for the -# specific language governing permissions and limitations -# under the License. -# - -id: from-csv -name: Creating PCollections from csv files -taskName: CSV \ No newline at end of file diff --git a/learning/tour-of-beam/learning-content/go/introduction/introduction-concepts/creating-collections/reading-from-text/description.md b/learning/tour-of-beam/learning-content/go/introduction/introduction-concepts/creating-collections/reading-from-text/description.md deleted file mode 100644 index 4968aa7d9528..000000000000 --- a/learning/tour-of-beam/learning-content/go/introduction/introduction-concepts/creating-collections/reading-from-text/description.md +++ /dev/null @@ -1,41 +0,0 @@ - -### Reading from text file - -You use one of the Beam-provided I/O adapters to read from an external source. The adapters vary in their exact usage, but all of them read from some external data source and return a `PCollection` whose elements represent the data records in that source. - -Each data source adapter has a Read transform; to read, you must apply that transform to the Pipeline object itself. - -`TextIO.Read` , for example, reads from an external text file and returns a `PCollection` whose elements are of type String. Each String represents one line from the text file. Here’s how you would apply `TextIO.Read` to your Pipeline to create a `PCollection`: - -``` -func main() { - ctx := context.Background() - - // First create pipline - p, s := beam.NewPipelineWithRoot() - - // Now create the PCollection by reading text files. Separate elements will be added for each line in the input file - lines := textio.Read(scope, 'gs://some/inputData.txt') - -} -``` - -### Playground exercise - -In the playground window, you can find an example that reads a king lear poem from the text file stored in the Google Storage bucket and fills PCollection with individual lines and then with individual words. Try it out and see what the output is. - -One of the differences you will see is that the output is much shorter than the input file itself. This is because the number of elements in the output `PCollection` is limited with the `top.Largest(s,lines,10,less)` transform. Use Sample.fixedSizeGlobally transform of is another technique you can use to troubleshoot and limit the output sent to the console for debugging purposes in case of large input datasets. - -Overview [file](https://storage.googleapis.com/apache-beam-samples/shakespeare/kinglear.txt) \ No newline at end of file diff --git a/learning/tour-of-beam/learning-content/go/introduction/introduction-concepts/group-info.yaml b/learning/tour-of-beam/learning-content/go/introduction/introduction-concepts/group-info.yaml deleted file mode 100644 index 19ef8ae2fd5b..000000000000 --- a/learning/tour-of-beam/learning-content/go/introduction/introduction-concepts/group-info.yaml +++ /dev/null @@ -1,25 +0,0 @@ -# -# Licensed to the Apache Software Foundation (ASF) under one -# or more contributor license agreements. See the NOTICE file -# distributed with this work for additional information -# regarding copyright ownership. The ASF licenses this file -# to you under the Apache License, Version 2.0 (the -# "License"); you may not use this file except in compliance -# with the License. You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, -# software distributed under the License is distributed on an -# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY -# KIND, either express or implied. See the License for the -# specific language governing permissions and limitations -# under the License. -# - -id: concepts -name: Beam Concepts -content: -- runner-concepts -- pipeline-concepts -- creating-collections \ No newline at end of file diff --git a/learning/tour-of-beam/learning-content/go/introduction/introduction-concepts/pipeline-concepts/creating-pipeline/description.md b/learning/tour-of-beam/learning-content/go/introduction/introduction-concepts/pipeline-concepts/creating-pipeline/description.md deleted file mode 100644 index 3aa6c64978cd..000000000000 --- a/learning/tour-of-beam/learning-content/go/introduction/introduction-concepts/pipeline-concepts/creating-pipeline/description.md +++ /dev/null @@ -1,36 +0,0 @@ - -### Creating a pipeline - -The `Pipeline` abstraction encapsulates all the data and steps in your data processing task. Your Beam driver program typically starts by constructing a Pipeline object, and then using that object as the basis for creating the pipeline’s data sets as PCollections and its operations as `Transforms`. - -To use Beam, your driver program must first create an instance of the Beam SDK class Pipeline (typically in the main() function). When you create your `Pipeline`, you’ll also need to set some configuration options. You can set your pipeline’s configuration options programmatically, but it’s often easier to set the options ahead of time (or read them from the command line) and pass them to the Pipeline object when you create the object. - -``` -// beam.Init() is an initialization hook that must be called -// near the beginning of main(), before creating a pipeline. -beam.Init() - -// Create the Pipeline object and root scope. -pipeline, scope := beam.NewPipelineWithRoot() -``` - -### Playground exercise - -You can find the full code of the above example in the playground window, which you can run and experiment with. And you can create a `pipeline`, `scope` separately, it is an alternative to `beam.NewPipelineWithRoot()`. It is convenient if manipulations are needed before creating an element. - -``` -pipeline := beam.NewPipeline() -scope := p.Root() -``` \ No newline at end of file diff --git a/learning/tour-of-beam/learning-content/go/introduction/introduction-concepts/pipeline-concepts/creating-pipeline/unit-info.yaml b/learning/tour-of-beam/learning-content/go/introduction/introduction-concepts/pipeline-concepts/creating-pipeline/unit-info.yaml deleted file mode 100644 index f3c47a5fe1ed..000000000000 --- a/learning/tour-of-beam/learning-content/go/introduction/introduction-concepts/pipeline-concepts/creating-pipeline/unit-info.yaml +++ /dev/null @@ -1,22 +0,0 @@ -# -# Licensed to the Apache Software Foundation (ASF) under one -# or more contributor license agreements. See the NOTICE file -# distributed with this work for additional information -# regarding copyright ownership. The ASF licenses this file -# to you under the Apache License, Version 2.0 (the -# "License"); you may not use this file except in compliance -# with the License. You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, -# software distributed under the License is distributed on an -# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY -# KIND, either express or implied. See the License for the -# specific language governing permissions and limitations -# under the License. -# - -id: creating-pipeline -name: Creating pipelines -taskName: creating-pipeline \ No newline at end of file diff --git a/learning/tour-of-beam/learning-content/go/introduction/introduction-concepts/pipeline-concepts/group-info.yaml b/learning/tour-of-beam/learning-content/go/introduction/introduction-concepts/pipeline-concepts/group-info.yaml deleted file mode 100644 index dd46ad6e61ad..000000000000 --- a/learning/tour-of-beam/learning-content/go/introduction/introduction-concepts/pipeline-concepts/group-info.yaml +++ /dev/null @@ -1,25 +0,0 @@ -# -# Licensed to the Apache Software Foundation (ASF) under one -# or more contributor license agreements. See the NOTICE file -# distributed with this work for additional information -# regarding copyright ownership. The ASF licenses this file -# to you under the Apache License, Version 2.0 (the -# "License"); you may not use this file except in compliance -# with the License. You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, -# software distributed under the License is distributed on an -# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY -# KIND, either express or implied. See the License for the -# specific language governing permissions and limitations -# under the License. -# - -id: pipeline-concepts -name: Pipeline concepts -content: -- overview-pipeline -- creating-pipeline -- setting-pipeline \ No newline at end of file diff --git a/learning/tour-of-beam/learning-content/go/introduction/introduction-concepts/pipeline-concepts/setting-pipeline/description.md b/learning/tour-of-beam/learning-content/go/introduction/introduction-concepts/pipeline-concepts/setting-pipeline/description.md deleted file mode 100644 index 23781b1e5ea2..000000000000 --- a/learning/tour-of-beam/learning-content/go/introduction/introduction-concepts/pipeline-concepts/setting-pipeline/description.md +++ /dev/null @@ -1,71 +0,0 @@ - -### Configuring pipeline options - -Use the pipeline options to configure different aspects of your pipeline, such as the pipeline runner that will execute your pipeline and any runner-specific configuration required by the chosen runner. Your pipeline options will potentially include information such as your project ID or a location for storing files. - -### Setting PipelineOptions from command-line arguments - -Use Go flags to parse command line arguments to configure your pipeline. Flags must be parsed before `beam.Init()` is called. - -``` -// If beamx or Go flags are used, flags must be parsed first, -// before beam.Init() is called. -flag.Parse() -``` - -This interprets command-line arguments this follow the format: - -``` ---