diff --git a/CHANGELOG.md b/CHANGELOG.md index 891fb07fa..da750942c 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -10,7 +10,7 @@ The 4.0 release of pyQuil migrates its core functionality into Rigetti's latest - Removed the `compatibility.v2` sub-package. - Removed the `EngagementManager` class as RPCQ is no longer used. - Python 3.7 is no longer supported. -- The environment variable overrides for `quilc` and `QVM` URLs have been renamed to `QCS_APPLICATIONS_QUILC_URL` and `QCS_APPLICATIONS_QVM_URL`, respectively. +- The environment variable overrides for `quilc` and `QVM` URLs have been renamed to `QCS_SETTINGS_APPLICATIONS_QUILC_URL` and `QCS_SETTINGS_APPLICATIONS_QVM_URL`, respectively. - The `QuantumComputer`'s `run` method now takes an optional `memory_map` parameter. This mapping takes memory region names to a list of values to use for a run. This replaces the ability to use `write_memory` on `Program`s. - `Program` and instructions have been re-written using the `quil` package. Much of the API remains the same, with the following exceptions: - `SwapPhase` has been renamed to `SwapPhases` @@ -55,7 +55,7 @@ installation, perform diagnostics checks, and return a summary. - The `Include` class for `INCLUDE` instructions. - The `DefCircuit` class `DEFCIRCUIT` instructions. - The `Program.copy` method now performs a deep copy. -- The `AbstractCompiler` class now has a method `transpile_qasm_2` method for transpiling QASM2.0 programs to Quil. +- The `AbstractCompiler` class now has a new `transpile_qasm_2` method for transpiling QASM2.0 programs to Quil. ### Deprecations diff --git a/docs/source/advanced_usage.rst b/docs/source/advanced_usage.rst index a8b01b930..ea428ee1a 100644 --- a/docs/source/advanced_usage.rst +++ b/docs/source/advanced_usage.rst @@ -1,6 +1,7 @@ .. _advanced_usage: -Advanced Usage +============== +Advanced usage ============== .. note:: @@ -10,21 +11,22 @@ Advanced Usage .. _pyquil_configuration: -pyQuil Configuration -~~~~~~~~~~~~~~~~~~~~ +******************** +pyQuil configuration +******************** -:py:class:`~pyquil.api.QCSClientConfiguration` instructs pyQuil on how to connect with the -components needed to compile and run programs (quilc, QVMs, and QCS). Any APIs that take a configuration object -as input (e.g. :py:func:`~pyquil.get_qc()`) typically do so optionally, so that a default configuration can be loaded +:py:class:`~pyquil.api.QCSClient` instructs pyQuil on how to connect with the components needed to compile and run +programs (``quilc``, ``qvm``, and QCS). Any APIs that take a configuration object as input +(e.g. :py:func:`~pyquil.api.get_qc`) typically do so optionally, so that a default configuration can be loaded for you if one is not provided. You can override this default configuration by either instantiating your own -:py:class:`~pyquil.api.QCSClientConfiguration` object and providing it as input to the function in question, +:py:class:`~pyquil.api.QCSClient` object and providing it as input to the function in question, or by setting the ``QCS_SETTINGS_FILE_PATH`` and/or ``QCS_SECRETS_FILE_PATH`` environment variables to have pyQuil load its settings and secrets from specific locations. By default, configuration will be loaded from ``$HOME/.qcs/settings.toml`` and ``$HOME/.qcs/secrets.toml``. Additionally, you can override whichever QVM and quilc URLs are loaded from ``settings.toml`` (``profiles..applications.pyquil.qvm_url`` and ``profiles..applications.pyquil.quilc_url`` fields) -by setting the ``QCS_SETTINGS_APPLICATIONS_PYQUIL_QVM_URL`` and/or ``QCS_SETTINGS_APPLICATIONS_QUILC_URL`` +by setting the ``QCS_SETTINGS_APPLICATIONS_QVM_URL`` and/or ``QCS_SETTINGS_APPLICATIONS_QUILC_URL`` environment variables. If these URLs are missing from ``settings.toml`` and are not set by environment variables, the following defaults will be used (as they correspond to the default behavior of the QVM and quilc when running locally): @@ -32,8 +34,9 @@ locally): - QVM URL: ``http://127.0.0.1:5000`` - quilc URL: ``tcp://127.0.0.1:5555`` +************** Multithreading -~~~~~~~~~~~~~~ +************** :py:class:`~pyquil.api.QuantumComputer` objects are safe to share between threads, enabling you to execute and retrieve results for multiple programs or parameter values at once. Note that :py:class:`~pyquil.Program` and @@ -43,13 +46,16 @@ concurrent context. .. note:: The QVM processes incoming requests in parallel, while a QPU may process them sequentially or in parallel (depending on the qubits used). If you encounter timeouts while trying to run large numbers of programs against a - QPU, try increasing the ``execution_timeout`` parameter on calls to :py:func:`~pyquil.get_qc()` (specified in + QPU, try increasing the ``execution_timeout`` parameter on calls to :py:func:`~pyquil.get_qc` (specified in seconds). .. note:: We suggest running jobs with a minimum of 2x parallelism, so that the QVM or QPU is fully occupied while your program runs and no time is wasted in between jobs. +.. note:: + Because pyQuil does not currently have an ``asyncio`` API it is recommended to use ``ThreadPool``\s. + Below is an example that demonstrates how to use pyQuil in a multithreading scenario: .. code:: python @@ -81,8 +87,9 @@ Below is an example that demonstrates how to use pyQuil in a multithreading scen print(f"Results for program {i}:\n{result}\n") -Alternative QPU Endpoints -~~~~~~~~~~~~~~~~~~~~~~~~~ +************************* +Alternative QPU endpoints +************************* Rigetti QCS supports alternative endpoints for access to a QPU architecture, useful for very particular cases. Generally, this is useful to call "mock" or test endpoints, which simulate the results of execution for the @@ -95,18 +102,19 @@ of the sites where ``quantum_processor_id`` is used: .. code:: python # Option 1 - qc = get_qc("Aspen-9", endpoint_id="my_endpoint") + qc = get_qc("Aspen-M-3", endpoint_id="my_endpoint") # Option 2 - qam = QPU(quantum_processor_id="Aspen-9", endpoint_id="my_endpoint") + qam = QPU(quantum_processor_id="Aspen-M-3", endpoint_id="my_endpoint") After doing so, for all intents and purposes - compilation, optimization, etc - your program will behave the same as when using "default" endpoint for a given quantum processor, except that it will be executed by an alternate QCS service, and the results of execution should not be treated as correct or meaningful. -Using Qubit Placeholders -~~~~~~~~~~~~~~~~~~~~~~~~ +************************ +Using qubit placeholders +************************ .. note:: The functionality provided inline by ``QubitPlaceholders`` is similar to writing a function which returns a @@ -128,7 +136,7 @@ In pyQuil, we typically use integers to identify qubits However, when running on real, near-term QPUs we care about what particular physical qubits our program will run on. In fact, we may want to run the same program on an assortment of different qubits. This is -where using ``QubitPlaceholder``\ s comes in. +where using ``QubitPlaceholder``\s comes in. .. testsetup:: placeholders @@ -154,9 +162,11 @@ where using ``QubitPlaceholder``\ s comes in. H Placeholder(QubitPlaceholder(0x600002DEB5B0)) CNOT Placeholder(QubitPlaceholder(0x600002DEB5B0)) Placeholder(QubitPlaceholder(0x600002DEABB0)) -.. - Could not make this a doctest because it would keep failing. ``doctest`` is supposed to match the - exception text if one occurs, but instead it seemed to fail the test because an exception happened. +Addressing qubits +================= + +If your program uses ``QubitPlaceholder``\s, the placeholders must be resolved before your program can +be run. If you try to run a program with unresolved placeholders, you will get an error: .. code:: python @@ -166,10 +176,9 @@ where using ``QubitPlaceholder``\ s comes in. RuntimeError: Qubit q4402789176 has not been assigned an index - Instead, you must explicitly map the placeholders to physical qubits. By -default, the function ``address_qubits`` will address qubits from 0 to -N. +default, the function :py:func:`~pyquil.quil.address_qubits` will address qubits from 0 to +N, skipping indices that are already used in the program. .. testcode:: placeholders @@ -195,13 +204,44 @@ The real power comes into play when you provide an explicit mapping: H 14 CNOT 14 19 +As an alternative to a mapping, you can consider using :py:meth:`~pyquil.quil.Program.resolve_placeholders_with_custom_resolvers`. +This method accepts any function that takes a placeholder as an argument, and returns a fixed value for that placeholder (or +``None``, if you want it to remain unresolved). + +.. testsetup:: placeholders + + from typing import Optional + from pyquil import Program, get_qc + from pyquil.gates import H, CNOT + from pyquil.quilatom import QubitPlaceholder + +.. testcode:: placeholders + + q0 = QubitPlaceholder() + q1 = QubitPlaceholder() + p = Program(H(q0), CNOT(q0, q1)) + qc = get_qc("2q-qvm") + + def qubit_resolver(placeholder: QubitPlaceholder) -> Optional[int]: + if placeholder == q0: + return 0 + if placeholder == q1: + return None + + p.resolve_placeholders_with_custom_resolvers(qubit_resolver=qubit_resolver) + print(p) + +.. testoutput:: placeholders + + H 0 + CNOT 0 Placeholder(...) -Register --------- +Requesting a register of qubit placeholders +=========================================== Usually, your algorithm will use an assortment of qubits. You can use -the convenience function ``QubitPlaceholder.register()`` to request a -list of qubits to build your program. +the convenience function :py:meth:`~pyquil.quilatom.QubitPlaceholder.register` to request a +register of qubits to build your program. .. testsetup:: register @@ -228,17 +268,20 @@ list of qubits to build your program. H 12 H 14 -Classical Control Flow -~~~~~~~~~~~~~~~~~~~~~~ +********************** +Classical control flow +********************** -.. note:: +Here are a couple quick examples that show how much richer a Quil program +can be with classical control flow. - Classical control flow is not yet supported on the QPU. +.. warning:: + Dynamic control flow can have unexpected effects on readout data. See :ref:`accessing_raw_execution_data` for more information. +While loops +=========== -Here are a couple quick examples that show how much richer a Quil program -can be with classical control flow. In this first example, we create a while -loop by following these steps: +In this first example, we create a while loop by following these steps: 1. Declare a register called ``flag_register`` to use as a boolean test for looping. @@ -251,6 +294,8 @@ loop by following these steps: 4. Use the :py:func:`~pyquil.quil.Program.while_do` method to add control flow. +5. Call :py:meth:`~pyquil.quil.Program.resolve_label_placeholders` to resolve the label placeholders inserted by ``while_do``. + .. testcode:: control-flow from pyquil import Program @@ -295,6 +340,9 @@ classical register. There are several classical commands that can be used in th - ``MOVE`` which moves the value of a classical bit at one classical address into another - ``EXCHANGE`` which swaps the value of two classical bits +If, then +======== + In this next example, we show how to do conditional branching in the form of the traditional ``if`` construct as in many programming languages. Much like the last example, we construct programs for each @@ -378,8 +426,9 @@ We can run this program a few times to see what we get in the readout register ` [0]] +********************** Pauli Operator Algebra -~~~~~~~~~~~~~~~~~~~~~~ +********************** Many algorithms require manipulating sums of Pauli combinations, such as :math:`\sigma = \frac{1}{2}I - \frac{3}{4}X_0Y_1Z_3 + (5-2i)Z_1X_2,` where @@ -482,4 +531,3 @@ To take it one step further, you can use :ref:`parametric_compilation` with ``ex theta = prog.declare('theta', 'REAL') prog += exponential_map(ham)(theta) - diff --git a/docs/source/compiler.rst b/docs/source/compiler.rst index 852f7eb08..1b923ea79 100644 --- a/docs/source/compiler.rst +++ b/docs/source/compiler.rst @@ -1,50 +1,32 @@ .. _compiler: -The Quil Compiler +================= +The Quil compiler ================= -Expectations for Program Contents ---------------------------------- +********************************* +Expectations for program contents +********************************* -The QPUs have much more limited natural gate sets than the standard gate set offered by pyQuil: on -Rigetti QPUs, the gate operators are constrained to lie in ``RZ(θ)``, ``RX(k*π/2)``, ``CZ`` and -``XY``; and the gates are required to act on physically available hardware (for single-qubit gates, -this means acting only on live qubits, and for qubit-pair gates, this means acting on neighboring -qubits). However, as a programmer, it is often (though not always) desirable to to be able to write +Real QPUs have a much more limited natural gate sets than the standard gate set offered by pyQuil +because gates are required to act on physically available hardware (for single-qubit gates, this +means acting only on live qubits, and for qubit-pair gates, this means acting on neighboring qubits). +However, as a programmer, it is often (though not always) desirable to to be able to write programs which don't take these details into account. This generally leads to more portable code if one isn't tied to a specific set of gates or QPU architecture. To ameliorate these limitations, the -Rigetti software toolkit contains an optimizing compiler that translates arbitrary Quil to native +Quil SDK contains an optimizing compiler that translates arbitrary Quil to native Quil and native Quil to executables suitable for Rigetti hardware. - -Interacting with the Compiler ------------------------------ +***************************** +Interacting with the compiler +***************************** After :ref:`installing the SDK `, the Quil Compiler, ``quilc`` is available on your local machine. You can initialize a local ``quilc`` server by typing ``quilc -S`` into your -terminal. You should see the following message. - -.. code:: text - - $ quilc -S - +-----------------+ - | W E L C O M E | - | T O T H E | - | R I G E T T I | - | Q U I L | - | C O M P I L E R | - +-----------------+ - Copyright (c) 2018 Rigetti Computing. - - ... - Launching quilc. - ... - Spawning server at (tcp://*:5555) . - -To get a description of ``quilc`` and its options and examples of command line use, see the quilc `README -`_ or type ``man quilc`` in your terminal. +terminal. - -A ``QuantumComputer`` object supplied by the function ``pyquil.api.get_qc()`` comes equipped with a -connection to your local Rigetti Quil compiler. This can be accessed using the instance method ``.compile()``, +A ``QuantumComputer`` object supplied by the function :py:func:`~pyquil.get_qc()` comes equipped with a +connection to your local quilc server. This can be accessed using the instance method ``.compile()``, as in the following: .. testcode:: quilc @@ -86,8 +68,8 @@ with output RZ(pi/2) 2 The compiler connection is also available directly via the property ``qc.compiler``. The -precise class of this object changes based on context (e.g., ``QPUCompiler``, -``QVMCompiler``), but it always conforms to the interface laid out by ``AbstractCompiler``: +precise class of this object changes based on context (e.g., :py:class:`~pyquil.api.QPUCompiler`, +:py:class:`~pyquil.api.QVMCompiler`), but it always conforms to the interface laid out by :py:class:`~pyquil.api.AbstractCompiler`: * ``compiler.quil_to_native_quil(program, *, protoquil)``: This method converts a Quil program into native Quil, according to the ISA that the compiler is initialized with. The input parameter is @@ -127,7 +109,7 @@ the previous example snippet is identical to the following: ... Timeouts --------- +======== If your circuit is sufficiently complex the compiler may require more time than is permitted by default. To change this timeout, use the `compiler_timeout` option on `get_qc`: @@ -141,7 +123,7 @@ default. To change this timeout, use the `compiler_timeout` option on `get_qc`: qc = get_qc("2q-qvm", compiler_timeout=100) # 100 seconds Legal compiler input --------------------- +==================== The QPU is not able to execute all possible Quil programs. At present, a Quil program qualifies for execution if has the following form: @@ -166,9 +148,9 @@ To instruct the compiler to produce Quil code that can be executed on a QPU, you and forcefully disable protoquil. Specifying ``protoquil=None`` defers to the server's choice. Compilation metadata --------------------- +==================== -When your compiler is started with the ``-P`` option, the ``compiler.quil_to_native_quil()`` method +When your compiler is started with the protoquil option (``-P``), the ``compiler.quil_to_native_quil()`` method will return both the compiled program and a dictionary of statistics for the compiled program. This dictionary contains the keys @@ -214,19 +196,15 @@ For example, to inspect the ``qpu_runtime_estimation`` you might do the followin .. _pragma: -Region-specific compiler features through PRAGMA ------------------------------------------------- +********************************************************* +Region-specific compiler features through PRAGMA commands +********************************************************* The Quil compiler can also be communicated with through ``PRAGMA`` commands embedded in the Quil program. -.. note:: - - The interface to the Quil compiler from pyQuil is under construction, and some of the ``PRAGMA`` directives will soon be replaced by finer-grained method calls. - - Preserved regions -~~~~~~~~~~~~~~~~~ +================= The compiler can be circumvented in user-specified regions. The start of such a region is denoted by ``PRAGMA PRESERVE_BLOCK``, and the end is denoted by ``PRAGMA END_PRESERVE_BLOCK``. The Quil @@ -266,7 +244,7 @@ to the native gate set. MEASURE 1 ro[1] Parallelizable regions -~~~~~~~~~~~~~~~~~~~~~~ +====================== The compiler can sometimes arrange gate sequences more cleverly if the user gives it hints about sequences of gates that commute. A region containing commuting sequences is bookended by @@ -333,8 +311,9 @@ instead execute the blocks in their written order. .. _compiler_rewirings: +********* Rewirings -~~~~~~~~~ +********* When a Quil program contains multi-qubit instructions that do not name qubit-qubit links present on a target device, the compiler will rearrange the qubits so that execution becomes possible. In order to @@ -348,7 +327,7 @@ the device. This is strictly for human-readability: these comments are discarde .. _swaps: SWAPs -***** +===== When the compiler needs to move an instruction's qubits closer it will insert ``SWAP`` gates which can be costly. If, however, the swaps are inserted at the very beginning of the program, the @@ -445,7 +424,7 @@ inserting swaps. For example, the following program requires a ``SWAP`` that inc uses only `two` two-qubit gates (one ``CZ`` and one ``XY``). Initial rewiring -**************** +================ In addition, you have some control over how the compiler constructs its rewiring, which is controlled by ``PRAGMA INITIAL_REWIRING``. The syntax is as follows. @@ -461,7 +440,7 @@ Including this `before any non-pragmas` will allow the compiler to alter its rew behavior. The default initial rewiring strategy -^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ +===================================== .. note:: @@ -490,8 +469,8 @@ For example, if your program consists of two-qubit instructions where the qubits CZ 3 4 -In the above example, `CZ 3 4` touches qubits that are already nearest neighbors (and support a -`CZ` instruction) and so the compiler employs the naive strategy (and thus does not rewire those +In the above example, ``CZ 3 4`` touches qubits that are already nearest neighbors (and support a +``CZ`` instruction) and so the compiler employs the naive strategy (and thus does not rewire those qubits to use better ones). If however, the program uses qubits that `must` be rewired, then the compiler defaults to the @@ -637,8 +616,9 @@ instructions are placed. Note that each of these have drawbacks described in the sections above. +********************* Common Error Messages ---------------------- +********************* The compiler itself is subject to some limitations, and some of the more commonly observed errors follow: diff --git a/docs/source/introducing_v4.rst b/docs/source/introducing_v4.rst index f582b7a90..e32b68a93 100644 --- a/docs/source/introducing_v4.rst +++ b/docs/source/introducing_v4.rst @@ -1,5 +1,6 @@ .. _introducing_v4: +===================== Introducing pyQuil v4 ===================== @@ -11,8 +12,9 @@ As a first step, read through the :doc:`changes` to get an overview of what's ne pyQuil v4 is currently pre-release software. If using ``pip``, be sure to install it with the ``--pre`` flag: ``pip install --pre pyquil`` -Parameters & Memory -------------------- +******************* +Parameters & memory +******************* In order to provide more flexibility when executing parameterized Programs, the execution methods on ``QAM``, ``QVM``, ``QPU`` and the like now accept an optional ``memory_map`` keyword parameter. This parameter is defined as a mapping of a memory region's name to a sequence of values that will be used to initialize that memory region before executing the program. This replaces the ability to use the write_memory method on a Program. Here is an example of how you might use a memory map in practice: @@ -37,12 +39,13 @@ Here is an example of how you might use a memory map in practice: The ``MemoryMap`` type is defined as ``Mapping[str, Union[Sequence[int], Sequence[float]]``. Note that the values mapped to a memory region must always be a sequence. This is different from ``write_memory`` which would allow writing an atomic value to a region of length 1. -QCS Gateway and Execution Options ---------------------------------- +********************************* +QCS Gateway and execution options +********************************* -The QCS Gateway is a new service that provides on-demand access to a QPU. See the `QCS documentation`_ for more information on what it is and why you might find it useful. +The QCS Gateway is a new service that provides on-demand access to a QPU. See the `Gateway documentation`_ for more information on what it is and why you might find it useful. -.. _QCS documentation: https://docs.rigetti.com/qcs/guides/qcs-gateway +.. _Gateway documentation: https://docs.rigetti.com/qcs/guides/qcs-gateway In pyQuil v4, Gateway is enabled by default and it is generally recommended to keep it on. However, if you have a use case for sending your job to the QPU directly, you can use the new ``ExecutionOptions`` and ``ConnectionStrategy`` classes to configure your request: @@ -66,9 +69,11 @@ In pyQuil v4, Gateway is enabled by default and it is generally recommended to k # Option 2: Sets the default options for all execution requests where no execution_options parameter is provided. result = qc.qam.execution_options = execution_options +.. _accessing_raw_execution_data: -Accessing Raw Execution Data ----------------------------- +**************************** +Accessing raw execution data +**************************** In previous versions of pyQuil, readout data was always returned as a mapping of memory regions to rectangular matrices that contained one value per memory reference, per shot. However, it shouldn't be assumed that readout data will always @@ -77,6 +82,10 @@ per shot, breaking the assumption that readout data will contain one value for e In these cases, it's better to rely on the author of the program to wrangle the data into the shape they expect, so we've made it possible to access raw readout data. +.. note:: + + You can learn more about how QPU readout data works in the `QCS documentation `_ + In v4, readout data continues to be accessible in the same way as before, but if the readout data generated by your program doesn't fit a rectangular matrix, a ``RegisterMatrixConversionError`` will be raised. In this case, you should use the ``get_raw_readout_data`` method to access the raw data and build the data structure you need. diff --git a/docs/source/noise.rst b/docs/source/noise.rst index 43c958aaf..163416a70 100644 --- a/docs/source/noise.rst +++ b/docs/source/noise.rst @@ -1,15 +1,15 @@ .. _noise: -Noise and Quantum Computation +============================= +Noise and quantum computation ============================= -Modeling Noisy Quantum Gates ----------------------------- - -.. begin import from GateNoiseModels.ipynb +**************************** +Modeling noisy quantum gates +**************************** -Pure States vs. Mixed States -~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +Pure states vs. mixed states +============================ Errors in quantum computing can introduce classical uncertainty in what the underlying state is. When this happens we sometimes need to consider not only wavefunctions but also probabilistic sums of wavefunctions when we are uncertain as @@ -54,7 +54,7 @@ more about density matrices here [DensityMatrix]_. .. [DensityMatrix] https://en.wikipedia.org/wiki/Density_matrix Quantum Gate Errors -~~~~~~~~~~~~~~~~~~~ +=================== For a quantum gate given by its unitary operator :math:`U`, a "quantum gate error" describes the scenario in which the actually induced transformation deviates from :math:`\ket{\psi} \mapsto U\ket{\psi}`. There are two basic types of @@ -87,8 +87,8 @@ quantum gate errors: In a way, coherent errors are *in principle* amendable by more precisely calibrated control. Incoherent errors are more tricky. -Why Do Incoherent Errors Happen? -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +Why do incoherent errors happen? +================================ When a quantum system (e.g., the qubits on a quantum processor) is not perfectly isolated from its environment it generally co-evolves with the @@ -121,8 +121,8 @@ by the Schrödinger equation the final state will generally not admit such a factorization. -A Toy Model -~~~~~~~~~~~ +A toy model +=========== **In this (somewhat technical) section we show how environment interaction can corrupt an identity gate and derive its Kraus map.** For @@ -189,10 +189,11 @@ cases with little complication and a very similar argument is used to derive the `Lindblad master equation `__. -Noisy Gates on the Rigetti QVM ------------------------------- +********************** +Noisy gates on the QVM +********************** -As of today, users of our Forest SDK can annotate their Quil programs by +As of today, users of the Quil SDK can annotate their Quil programs by certain pragma statements that inform the QVM that a particular gate on specific target qubits should be replaced by an imperfect realization given by a Kraus map. @@ -247,8 +248,9 @@ which proves our claim. **The consequence is that noisy gate simulations must generally be repeated many times to obtain representative results**. -Getting Started -~~~~~~~~~~~~~~~ +*************** +Getting started +*************** 1. Come up with a good model for your noise. We will provide some examples below and may add more such examples to our public @@ -289,8 +291,9 @@ Getting Started qc = get_qc('2q-qvm') -Example 1: Amplitude Damping -~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +**************************** +Example 1: Amplitude damping +**************************** Amplitude damping channels are imperfect identity maps with Kraus operators @@ -411,8 +414,9 @@ state decays to the :math:`\ket{0}` state. .. image:: images/GateNoiseModels_14_1.png +*************************** Example 2: Dephased CZ-gate -~~~~~~~~~~~~~~~~~~~~~~~~~~~ +*************************** Dephasing is usually characterized through a qubit's :math:`T_2` time. For a single qubit the dephasing Kraus operators are @@ -572,9 +576,9 @@ good starting point.** .. end import from GateNoiseModel.ipynb - +************************ Adding Decoherence Noise ------------------------- +************************ In this example, we investigate how a program might behave on a near-term device that is subject to *T1*- and *T2*-type noise using the convenience function @@ -594,7 +598,7 @@ gate. import numpy as np The Task -~~~~~~~~ +======== We want to prepare :math:`e^{i \theta XY}` and measure it in the :math:`Z` basis. @@ -605,8 +609,8 @@ We want to prepare :math:`e^{i \theta XY}` and measure it in the theta = pi/3 xy = PauliTerm('X', 0) * PauliTerm('Y', 1) -The Idiomatic pyQuil Program -~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +The idiomatic pyQuil program +============================ .. testcode:: decoherence @@ -625,8 +629,8 @@ The Idiomatic pyQuil Program RX(-1.5707963267948966) 1 -The Compiled Program -~~~~~~~~~~~~~~~~~~~~ +The compiled program +==================== To run on a real device, we must compile each program to the native gate set for the device. The high-level noise model is similarly constrained @@ -661,8 +665,8 @@ will want to use a compiler to do this step for you. RZ(-pi/2, 1), ]) -Scan Over Noise Parameters -~~~~~~~~~~~~~~~~~~~~~~~~~~ +Scan over noise parameters +========================== We perform a scan over three levels of noise, each at 20 theta points. @@ -719,8 +723,8 @@ gate noise, respectively. } records += [record] -Plot the Results -~~~~~~~~~~~~~~~~ +Plot the results +================ Note that to run the code below you will need to install the `pandas` and `seaborn` packages. @@ -753,8 +757,9 @@ Note that to run the code below you will need to install the `pandas` and `seabo .. image:: images/NoiseInvestigation_14_0.png -Modeling Readout Noise ----------------------- +********************** +Modeling readout noise +********************** Qubit-Readout can be corrupted in a variety of ways. The two most relevant error mechanisms on the Rigetti QPU right now are: @@ -774,8 +779,8 @@ relevant error mechanisms on the Rigetti QPU right now are: can try to reduce the readout pulse length, or increase the T1 time or both. -Qubit Measurements -~~~~~~~~~~~~~~~~~~ +Qubit measurements +================== This section provides the necessary theoretical foundation for accurately modeling noisy quantum measurements on superconducting @@ -794,8 +799,8 @@ the measurement outcome. Here the *outcome* is understood as classical information that has been extracted from the quantum system. -Projective, Ideal Measurement -_____________________________ +Projective, ideal measurement +============================= The simplest case that is usually taught in introductory quantum mechanics and quantum information courses are Born's rule and the @@ -844,7 +849,7 @@ ensures that :math:`\rho_{\text{post measurement}}` is a positive (semi-)definite operator. Classical Readout Bit-Flip Error -________________________________ +================================ Consider now the ideal measurement as above, but where the outcome :math:`x` is transmitted across a noisy classical channel that produces @@ -915,8 +920,8 @@ nor valid projection operators, but they naturally arise in this scenario. This is not yet the most general type of measurement, but it will get us pretty far. -How to Model :math:`T_1` Error -______________________________ +How to model :math:`T_1` error +============================== T1 type errors fall outside our framework so far as they involve a scenario in which the *quantum state itself* is corrupted during the @@ -928,14 +933,15 @@ relatively simple description, we propose describing this by a T1 damping Kraus map followed by the noisy readout process as described above. -Further Reading -_______________ +Further reading +=============== Chapter 3 of John Preskill's lecture notes http://www.theory.caltech.edu/people/preskill/ph229/notes/chap3.pdf -Working with Readout Noise --------------------------- +************************** +Working with readout noise +************************** 1. Come up with a good guess for your readout noise parameters :math:`p(0|0)` and :math:`p(1|1)`; the off-diagonals then follow from @@ -971,8 +977,8 @@ Working with Readout Noise qc = get_qc("1q-qvm") -Example 1: Rabi Sequence with Noisy Readout -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +Example 1: Rabi sequence with noisy readout +=========================================== .. testcode:: readout-noise @@ -1029,8 +1035,8 @@ Example 1: Rabi Sequence with Noisy Readout .. image:: images/ReadoutNoise_10_1.png -Example 2: Estimate the Assignment Probabilities -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +Example 2: Estimate the assignment probabilities +================================================ Here we will estimate :math:`P_{x'|x}` ourselves! You can run some simple experiments to estimate the assignment @@ -1084,10 +1090,10 @@ probability matrix directly from a QPU. [ 0.09952 0.85012]] Example 3: Correct for Noisy Readout -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +==================================== -3a) Correcting the Rabi Signal from Above -_________________________________________ +Correcting the rabi signal from above +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ .. testcode:: readout-noise @@ -1122,8 +1128,8 @@ We find that the corrected signal is fairly noisy (and sometimes exceeds the allowed interval :math:`[0,1]`) due to the overall very small number of samples :math:`n=200`. -3b) Corrupting and Correcting GHZ State Correlations -____________________________________________________ +Corrupting and correcting GHZ state correlations +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ In this example we will create a GHZ state :math:`\frac{1}{\sqrt{2}}\left[\left|000\right\rangle + \left|111\right\rangle \right]` and @@ -1177,7 +1183,7 @@ Pauli-Z moments that indicate the qubit correlations are corrupted (and correcte MEASURE 2 ro[2] Uncorrupted probability for :math:`\left|000\right\rangle` and :math:`\left|111\right\rangle` -^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ +============================================================================================= .. testsetup:: readout-noise @@ -1201,7 +1207,7 @@ As expected the outcomes ``000`` and ``111`` each have roughly probability :math:`1/2`. Corrupted probability for :math:`\left|000\right\rangle` and :math:`\left|111\right\rangle` -^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ +=========================================================================================== .. testcode:: readout-noise @@ -1221,7 +1227,7 @@ The noise-corrupted outcome probabilities deviate significantly from their ideal values! Corrected probability for :math:`\left|000\right\rangle` and :math:`\left|111\right\rangle` -^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ +=========================================================================================== .. testsetup:: readout-noise @@ -1244,7 +1250,7 @@ Corrected probability for :math:`\left|000\right\rangle` and :math:`\left|111\ri The corrected outcome probabilities are much closer to the ideal value. Estimate :math:`\langle Z_0^{j} Z_1^{k} Z_2^{\ell}\rangle` for :math:`jkl=100, 010, 001` from non-noisy data -^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ +============================================================================================================ *We expect these to all be very small* @@ -1267,7 +1273,7 @@ Estimate :math:`\langle Z_0^{j} Z_1^{k} Z_2^{\ell}\rangle` for :math:`jkl=100, 0 0.0083999999999999631 0.0083999999999999631 0.0083999999999999631 Estimate :math:`\langle Z_0^{j} Z_1^{k} Z_2^{\ell}\rangle` for :math:`jkl=110, 011, 101` from non-noisy data -^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ +============================================================================================================ *We expect these to all be close to 1.* @@ -1280,7 +1286,7 @@ Estimate :math:`\langle Z_0^{j} Z_1^{k} Z_2^{\ell}\rangle` for :math:`jkl=110, 0 1.0 1.0 1.0 Estimate :math:`\langle Z_0^{j} Z_1^{k} Z_2^{\ell}\rangle` for :math:`jkl=100, 010, 001` from noise-corrected data -^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ +================================================================================================================== .. testcode:: readout-noise @@ -1297,7 +1303,7 @@ Estimate :math:`\langle Z_0^{j} Z_1^{k} Z_2^{\ell}\rangle` for :math:`jkl=100, 0 0.0071476770049732075 -0.0078641261685578612 0.0088462563282706852 Estimate :math:`\langle Z_0^{j} Z_1^{k} Z_2^{\ell}\rangle` for :math:`jkl=110, 011, 101` from noise-corrected data -^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ +================================================================================================================== .. testcode:: readout-noise @@ -1318,9 +1324,9 @@ This effect is reduced the more samples we take. Alternative: A global Pauli error model -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +======================================= -The Rigetti QVM has support for emulating certain types of noise models. +The QVM has support for emulating certain types of noise models. One such model is *parametric Pauli noise*, which is defined by a set of 6 probabilities: diff --git a/docs/source/quilt_getting_started.ipynb b/docs/source/quilt_getting_started.ipynb index f289349a7..43a42ff67 100644 --- a/docs/source/quilt_getting_started.ipynb +++ b/docs/source/quilt_getting_started.ipynb @@ -4,11 +4,11 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# Getting Up and Running with Quil-T\n", + "# Getting up and running with Quil-T\n", "\n", "## Language Documentation\n", "\n", - "See https://github.com/rigetti/quil for documentation on the Quil-T language." + "See the [Quil specification](https://quil-lang.github.io/#12Annex-T--Pulse-Level-Control) for documentation on the Quil-T language" ] }, { @@ -25,7 +25,7 @@ "outputs": [], "source": [ "from pyquil import Program, get_qc\n", - "qc = get_qc(\"Aspen-8\")" + "qc = get_qc(\"Aspen-M-3\")" ] }, { @@ -43,7 +43,7 @@ { "data": { "text/plain": [ - "{'quilc': {'quilc': '1.22.0', 'githash': '3b3160c'}, 'qpu_compiler': {}}" + "{'quilc': '1.26.0'}" ] }, "execution_count": 2, @@ -100,13 +100,12 @@ "name": "stdout", "output_type": "stream", "text": [ - "DEFFRAME 0 7 \"cz\":\n", - " DIRECTION: \"tx\"\n", - " INITIAL-FREQUENCY: 298517072.1886101\n", - " CENTER-FREQUENCY: 375000000.0\n", - " HARDWARE-OBJECT: \"q0_ff\"\n", - " SAMPLE-RATE: 1000000000.0\n", - "\n" + "DEFFRAME 111 112 \"cz\":\n", + "\tDIRECTION: \"tx\"\n", + "\tINITIAL-FREQUENCY: 335285390.8518622\n", + "\tCENTER-FREQUENCY: 375000000\n", + "\tSAMPLE-RATE: 1000000000\n", + "\tHARDWARE-OBJECT: \"q112_ff\"\n" ] } ], @@ -138,18 +137,14 @@ "name": "stdout", "output_type": "stream", "text": [ - "396 total calibrations, peeking at first two:\n", + "1230 total calibrations, peeking at first two:\n", "\n", + "DEFCAL I %q:\n", + "\tDELAY q 4e-8\n", "DEFCAL RX(pi/2) 0:\n", - " FENCE 0\n", - " NONBLOCKING PULSE 0 \"rf\" drag_gaussian(duration: 1.2e-07, fwhm: 3e-08, t0: 6e-08, anh: -190000000.0, alpha: -0.5128791143256078, scale: 0.31430257697073, phase: 0.0, detuning: 0.0)\n", - " FENCE 0\n", - "\n", - "DEFCAL RX(-pi/2) 0:\n", - " FENCE 0\n", - " NONBLOCKING PULSE 0 \"rf\" drag_gaussian(duration: 1.2e-07, fwhm: 3e-08, t0: 6e-08, anh: -190000000.0, alpha: -0.5128791143256078, scale: -0.31430257697073, phase: 0.0, detuning: 0.0)\n", - " FENCE 0\n", - "\n" + "\tFENCE 0\n", + "\tNONBLOCKING PULSE 0 \"rf\" drag_gaussian(alpha: 0.3183552471062913, anh: -220655329.522463, detuning: -321047.14178613486, duration: 2.4000000000000003e-8, fwhm: 6.000000000000001e-9, phase: 0, scale: 0.293772761206776, t0: 1.2000000000000002e-8)\n", + "\tFENCE 0\n" ] } ], @@ -168,130 +163,6 @@ "Certain gates (e.g. `RX` gates above) use template waveforms. Others, notably `CZ` gates, use custom waveforms. The `waveforms` member maps waveform names to their definitions." ] }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'q0_q7_cz/CZ': ,\n", - " 'q0_q7_cphase/sqrtCPHASE': ,\n", - " 'q0_q7_xy/sqrtiSWAP': ,\n", - " 'q1_q16_cz/CZ': ,\n", - " 'q1_q16_cphase/sqrtCPHASE': ,\n", - " 'q1_q16_xy/sqrtiSWAP': ,\n", - " 'q1_q2_cz/CZ': ,\n", - " 'q1_q2_cphase/sqrtCPHASE': ,\n", - " 'q1_q2_xy/sqrtiSWAP': ,\n", - " 'q10_q11_cz/CZ': ,\n", - " 'q10_q11_cphase/sqrtCPHASE': ,\n", - " 'q10_q11_xy/sqrtiSWAP': ,\n", - " 'q10_q17_cz/CZ': ,\n", - " 'q10_q17_cphase/sqrtCPHASE': ,\n", - " 'q10_q17_xy/sqrtiSWAP': ,\n", - " 'q11_q12_cz/CZ': ,\n", - " 'q11_q12_cphase/sqrtCPHASE': ,\n", - " 'q11_q12_xy/sqrtiSWAP': ,\n", - " 'q11_q26_cz/CZ': ,\n", - " 'q11_q26_cphase/sqrtCPHASE': ,\n", - " 'q11_q26_xy/sqrtiSWAP': ,\n", - " 'q12_q13_cz/CZ': ,\n", - " 'q12_q13_cphase/sqrtCPHASE': ,\n", - " 'q12_q13_xy/sqrtiSWAP': ,\n", - " 'q12_q25_cz/CZ': ,\n", 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'q33_q34_cphase/sqrtCPHASE': ,\n", - " 'q33_q34_xy/sqrtiSWAP': ,\n", - " 'q34_q35_cz/CZ': ,\n", - " 'q34_q35_cphase/sqrtCPHASE': ,\n", - " 'q34_q35_xy/sqrtiSWAP': ,\n", - " 'q35_q36_cz/CZ': ,\n", - " 'q35_q36_cphase/sqrtCPHASE': ,\n", - " 'q35_q36_xy/sqrtiSWAP': ,\n", - " 'q36_q37_cz/CZ': ,\n", - " 'q36_q37_cphase/sqrtCPHASE': ,\n", - " 'q36_q37_xy/sqrtiSWAP': ,\n", - " 'q4_q5_cz/CZ': ,\n", - " 'q4_q5_cphase/sqrtCPHASE': ,\n", - " 'q4_q5_xy/sqrtiSWAP': ,\n", - " 'q5_q6_cz/CZ': ,\n", - " 'q5_q6_cphase/sqrtCPHASE': ,\n", - " 'q5_q6_xy/sqrtiSWAP': ,\n", - " 'q6_q7_cz/CZ': ,\n", - " 'q6_q7_cphase/sqrtCPHASE': ,\n", - " 'q6_q7_xy/sqrtiSWAP': }" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "cals.waveforms" - ] - }, { "cell_type": "markdown", "metadata": {}, @@ -301,15 +172,15 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", 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0.24603461699494242, 0.18599632373986255, 0.1259580304847826, 0.0753463605183896, 0.03938036134796485, 0.017835367368358553, 0.006955991101434095, 0.0023252271377397662, 0.0006638156567621092, 0, 0, 0, 0, 0, 0, 0, 0, 0\n" ] } ], @@ -355,7 +226,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 7, "metadata": { "scrolled": true }, @@ -372,7 +243,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 8, "metadata": {}, "outputs": [], "source": [ @@ -383,34 +254,30 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "**Note**: The above compilation may be done even when not on an active QPU reservation. However,\n", - "\n", - "* as always, the executable cannot be run until on an active QPU reservation\n", - "* the QPU settings used for compilation may go stale\n", - "\n", - "Therefore, we suggest that although you may rely on `qc.compiler.native_quil_to_executable` for development purposes (for example, to verify correct Quil-T syntax), when executing on a QPU all Quil-T programs should be compiled afresh.\n", + "**Note**: The above compilation may be done even at any time, however, the QPU settings used for compilation may go stale. Therefore, we suggest that although you may rely on `qc.compiler.native_quil_to_executable` for development purposes (for example, to verify correct Quil-T syntax), when executing on a QPU all Quil-T programs should be compiled afresh.\n", "\n", "Running the executable proceeds as before:" ] }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "array([[0]])" + "{'ro': array([[1]])}" ] }, - "execution_count": 10, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "qc.run(exe)" + "result = qc.run(exe)\n", + "result.get_register_map()" ] }, { @@ -430,7 +297,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 10, "metadata": {}, "outputs": [], "source": [ @@ -446,7 +313,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 11, "metadata": { "scrolled": true }, @@ -455,26 +322,26 @@ "name": "stdout", "output_type": "stream", "text": [ - "time: 2.00e-08 \tprob: 0.97\n", - "time: 3.88e-08 \tprob: 0.97\n", - "time: 7.54e-08 \tprob: 0.97\n", - "time: 1.47e-07 \tprob: 0.95\n", - "time: 2.85e-07 \tprob: 0.92\n", - "time: 5.53e-07 \tprob: 0.94\n", - "time: 1.07e-06 \tprob: 0.9\n", - "time: 2.08e-06 \tprob: 0.86\n", - "time: 4.05e-06 \tprob: 0.77\n", - "time: 7.86e-06 \tprob: 0.64\n", - "time: 1.53e-05 \tprob: 0.45\n", - "time: 2.96e-05 \tprob: 0.25\n", - "time: 5.76e-05 \tprob: 0.17\n", - "time: 1.12e-04 \tprob: 0.16\n", - "time: 2.17e-04 \tprob: 0.17\n", - "time: 4.22e-04 \tprob: 0.16\n", - "time: 8.19e-04 \tprob: 0.17\n", - "time: 1.59e-03 \tprob: 0.14\n", - "time: 3.09e-03 \tprob: 0.16\n", - "time: 6.00e-03 \tprob: 0.14\n" + "time: 2.00e-08 \tprob: 0.92\n", + "time: 3.88e-08 \tprob: 0.92\n", + "time: 7.54e-08 \tprob: 0.91\n", + "time: 1.47e-07 \tprob: 0.9\n", + "time: 2.85e-07 \tprob: 0.85\n", + "time: 5.53e-07 \tprob: 0.81\n", + "time: 1.07e-06 \tprob: 0.68\n", + "time: 2.08e-06 \tprob: 0.66\n", + "time: 4.05e-06 \tprob: 0.48\n", + "time: 7.86e-06 \tprob: 0.38\n", + "time: 1.53e-05 \tprob: 0.23\n", + "time: 2.96e-05 \tprob: 0.11\n", + "time: 5.76e-05 \tprob: 0.084\n", + "time: 1.12e-04 \tprob: 0.074\n", + "time: 2.17e-04 \tprob: 0.068\n", + "time: 4.22e-04 \tprob: 0.068\n", + "time: 8.19e-04 \tprob: 0.079\n", + "time: 1.59e-03 \tprob: 0.08\n", + "time: 3.09e-03 \tprob: 0.094\n", + "time: 6.00e-03 \tprob: 0.079\n" ] } ], @@ -487,7 +354,7 @@ "for time in times:\n", " prog = t1_program(time, 0)\n", " exe = qc.compiler.native_quil_to_executable(prog)\n", - " results = qc.run(exe)\n", + " results = qc.run(exe).get_register_map().get(\"ro\")\n", " prob = np.sum(results) / results.size\n", " probs.append(prob)\n", " print(f\"time: {time:.2e} \\tprob: {prob:.2}\")" @@ -495,19 +362,17 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 12, "metadata": {}, "outputs": [ { "data": { - "image/png": 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ZZ25kZreaWamZlVZXVw9shSJnGJKcwIIpuTy3+SDNre1+lyMyILwMiwpgZKflwtC6zsqBpc65FufcXmAHHeHxEc65h51zJc65kpycHM8KFumtJbPyqa1v4Y2d+seLxAcvw2ItUGxmY8wsCbgRWHrGNs/Q0avAzLLpGJbSpT0l4l1WnEPG4ESe3aAT9CQ+eBYWzrlW4HbgBWAb8JRzbquZfd/MFoc2ewGoMbP3gFeBbznnaryqSSRckhICXDM9j5fe+4CTTa1+lyPiOU/nLJxzK5xzE5xz45xzPwitu8c5tzT03Dnn7nTOTXHOTXfOPellPSLhdP2sAhpa2nh52wd+lyLiOb8nuEWiVsnoYeQPTdFQlMQFhYVIHwUCxnWz8lm5o1o3RZKYp7AQ6YclMwtobXc8t/mg36WIeEphIdIPk/PSKB6eylKdoCcxrldhYWYpZnanmT1tZn8ys2+aWYrXxYlEOjNjyax81pYdpfyobooksau3PYtHganAA8DP6bgw4GNeFSUSTRbP7LiKzbKNGoqS2JXQy+2mOec6XzH21dC5ESJxb1TWYM4flcGzGyr4u3nj/C5HxBO97Vm8a2YXnVowszlAqTcliUSfJbMKeP9QHdsP6aZIEpt6GxYXAKvMrMzMyoDVwIVmttnMNnlWnUiUuGZ6HsGA6Uq0ErN6OwylS4eLdCMnLZm547N5dkMl37p6Imbmd0kiYdWrnoVzbl93D6+LFIkGS2bmU1HbwLv7dVMkiT06z0IkTD4+NZfkhIAu/yExSWEhEiZpKYnMn5LLc5sO0tKmmyJJbFFYiITRkpn51Jxs5q1dh/0uRSSsFBYiYXTFxBzSUxI0FCUxR2EhEkbJCUGumZ7HC1sP0dDc5nc5ImGjsBAJs8Wz8qlv1k2RJLYoLETCbM6YLHLTkzUUJTFFYSESZsGAcd2MfF7fUUVtvW6KJLFBYSHigevPK6ClzfHnLYf8LkUkLBQWIh6Ymp/O2JwhPLNe14qS2KCwEPGAmbFkZgHvlB2hsrbB73JE+k1hIeKRxbPycQ6Wb9JEt0Q/hYWIR8ZkD2Fm4VAdFSUxQWEh4qHFswrYWnmcXVW6KZJEN4WFiIeum5FHwGCpehcS5RQWIh4anp7CJeOyeWZDJc45v8sR6TOFhYjHFs/KZ/+RejYcqPW7FJE+U1iIeGzhtBEk6aZIEuUUFiIeS09J5MqJw1m+6SCtuimSRCmFhcgAWDIrn8Mnmli9p8bvUkT6RGEhMgA+Nmk4g5OCrNh80O9SRPpEYSEyAFISg8yfnMvzWw7p/twSlRQWIgPkmul5HK1vYY2GoiQKKSxEBsi8iTkMSQry3CYNRUn0UViIDJCUxCDzp+Ty/FYNRUn0UViIDKBrpudRW9/C6t0aipLoorAQGUBXTNBQlEQnhYXIAEpJDLJgSi4vvKehKIkunoaFmS00s+1mtsvM7u5muxvMzJlZiZf1iESCU0NRqzQUJVHEs7AwsyDwIPAJYApwk5lN6WK7NODrwNte1SISSS6fkENqcgLP6Q56EkW87FnMBnY55/Y455qBJ4ElXWz3L8CPgUYPaxGJGKeHorZ+oKEoiRpehkUBcKDTcnlo3Wlmdj4w0jn3XHc7MrNbzazUzEqrq6vDX6nIALtmeh7HGlp4a9dhv0sR6RXfJrjNLADcB9zV07bOuYedcyXOuZKcnBzvixPx2GXF2aQlJ+ioKIkaXoZFBTCy03JhaN0pacA04DUzKwMuApZqklviwYdDUYdobtVQlEQ+L8NiLVBsZmPMLAm4EVh66kXn3DHnXLZzrsg5VwSsARY750o9rEkkYlwzPY/jja28tVtDURL5PAsL51wrcDvwArANeMo5t9XMvm9mi736XJFocdkEDUVJ9EjwcufOuRXAijPW3XOWbed5WYtIpElOCLJgai4vbj1E8yenk5Sgc2Qlcun/ThEfLZoRGorSUVES4RQWIj66dHwOaSkJLNdQlEQ4hYWIj5ISAnx8yghefE9HRUlkU1iI+GzRjDzqGlt5c5dOOJXIpbAQ8dnc8dmkayhKIpzCQsRnSQkBPj51BC+99wFNrW1+lyPSJYWFSAS49tRQ1E4dFSWRSWEhEgHmjusYitIJehKpFBYiESApIcDVGoqSCKawEIkQ187Io66plTd2aChKIo/CQiRCzB2fzdBBiTy3WUNREnkUFiIRIjEY4Oqpubz83gc0tmgoSiKLwkIkglw7I79jKEpHRUmEUViIRJBLxmWRMTiR5zZV+l2KyEcoLEQiSGIwwNVTRvDytioNRUlEUViIRJhrZ+RxoqmVlTt0rSiJHAoLkQhz8amhKB0VJRFEYSESYRKDARZOHaGjoiSiKCxEItC1M/I42dzG6xqKkgihsBCJQBePzWLY4ERdK0oihsJCJAIlBAMsnDaC/92moSiJDAoLkQh17fR8Tja38dp2DUWJ/xQWIhHqorGZZA5J0lFREhEUFiIRKiHYcdlyDUVJJFBYiESwRTPyqG9u47XtVX6XInFOYSESweaMySRrSBLLdVSU+ExhIRLBEoIBrp42glfer6KhWUNR4h+FhUiEWzRdQ1HiP4WFSISbPSaT7NQkluuoKPGRwkIkwp06KuqVbRqKEv8oLESiwJJZBTS0tHHfS9v9LkXilMJCJArMHpPJly4eza/e2MuzGyr8LkfikMJCJEp8Z9EUZhdl8o9/2sTWymN+lyNxRmEhEiUSgwEe/Nz5DBucxK2PruPIyWa/S5I4orAQiSI5ack89PkLqD7RxO2Pv0trW7vfJUmcUFiIRJmZIzP4wfXTWLW7hh/9+X2/y5E4keB3ASJy7v6qZCRbKo7x6zf3Mr1wKEtmFfhdksQ49SxEotR3Fk1h9phM/uGPm9hSoQlv8ZbCQiRKJQYD/OJz55M5JImvPqYJb/GWp2FhZgvNbLuZ7TKzu7t4/U4ze8/MNpnZ/5rZaC/rEYk12anJ/PILmvAW73kWFmYWBB4EPgFMAW4ysylnbLYeKHHOzQD+CPybV/WIxKoZhRn86yens2p3DT/UhLd4xMuexWxgl3Nuj3OuGXgSWNJ5A+fcq865+tDiGqDQw3pEYtanLyjk5kuK+M2be/mf9eV+lyMxyMuwKAAOdFouD607m1uAP3f1gpndamalZlZaXa2b14t05dvXTmbOmEzu/tNmTXhL2EXEBLeZfR4oAX7S1evOuYedcyXOuZKcnJyBLU4kSpw6wzsrNOFdc6LJ75IkhngZFhXAyE7LhaF1H2Fm84FvA4udc/q/W6QfslOTeej0hPd6TXhL2HgZFmuBYjMbY2ZJwI3A0s4bmNl5wC/pCArdBkwkDGYUZvDDT05n9Z4a/nWFJrwlPDw7g9s512pmtwMvAEHgt865rWb2faDUObeUjmGnVOAPZgaw3zm32KuaROLFDRcUsrniGL99ay/TCtL51Pk6dkT6x9PLfTjnVgArzlh3T6fn8738fJF49u1rJ7Pt4HH+6enNTMhNY1rBUL9LGnDNre3sqznJzqoTVBxtYN7EHIpz0/wuKyqZc87vGs5JSUmJKy0t9bsMkahw+EQTix94EzNj6e1zyUpN9rskTzS2tLH3cEco7Pqgjp1VJ9hZdYKywydpbf/o37j5k4fz1SvGUTJ6GKERjbhgZuuccyV9fr/CQiS2bS4/xqcfWsWskRnccWUxWalJZKcmkzkkiWAgvH8sW9vaqaprorK2gYpTj6MNVNY2UFXXRHJCgLSURNJSEkgfFPqZ8tGfZ76empRAIFRnfXMru6tOsrOqIxB2hR77ak5yKhMCBkVZQxg3PJXi4akU56ZSPDyNzCFJPFV6gP9cVcbR+hbOH5XBV68Yx4LJuaf3H8sUFiLSo6ffLeeuP2yk8697wCBzSEdwnAqQDx+dltOSyBqSTFJCgJNNrR8JgsraBiprG6k42rF86HgjbWf8S37Y4ETyMwaRm55Cc2s7dY0t1DW2cryxheONrTS3dn/ElhmkJiWQnBjkcKfDgRMCxpjsIRTnpjJ+eNrpYCjKGkJKYvCs+2tobuMP6w7w8Mo9lB9tYGzOEG69bCzXn1fQ7fuincJCRHqloraB8iP1HD7RTM3JJg7XNVF9opnDJ5o+fNQ109DS1uX7BycFqW/+6GvBgDEiPYWCYYMoyOh45GcMCi2nkDd0EEOSu58abWpt6wiPho4Q6Xh8NFDqGltoaG6jIGPQ6XAYnTWYxGDfD+hsbWtnxZZD/PL13WytPE5OWjJfnlvE5+aMZuigxD7v90wNzW28d/AY7x+qY3TmEM4bldHjfxMvKCxEJKzqm1s5XNdM9Rkhcqyhhey0pI+EQm56StiHsgaac45Vu2t46PXdvLHzMEOSgnx2zii+cukY8oYOOqd9tbS1s+ODOjaVH2PjgVo2lh9jxwd1H+ltBQPGtPx0LizK5MIxmZSMHjYgc0kKCxGRMNlaeYyHV+5h+aaDGLBkVgFfvWIsE7o4gso5R1lNfSgUatlUfowtFcdoCg2rDR2UyIzCocwszGBG4VAmjUhnz+ETrC07wtq9R9lQXnt6CG5czhBmj8nsCJCiTAqHDQr75LvCQkQkzA4cqec3b+7l92sP0NDSxpWThnPzJUU0tLSxqbyWjQeOsam8luONrQCkJAaYlj+UmSMzTgfE6KzB3f7Bb2xpY3PFMd7Ze4S1ZUdYV3aUuqaO/eUNTTnd85hdlEnx8NR+T8IrLEREPHL0ZDOPrdnHI6vKTt9cKhgwJo1IY0ZhBjMLOwKieHgqCf2YPwFoa3dsP1TH2rIjvFN2hLV7j1BV1zGhnzE4kZLRw/jy3DHMHZ/dp/0rLEREPNbY0sZr26vISUthan76gBw15Zxj/5H60z2PtWVHuevjE1g0I79P+1NYiIjECedcn+cy+hsWEXGJchER6ZmfZ5wrLEREpEcKCxER6ZHCQkREeqSwEBGRHiksRESkRwoLERHpkcJCRER6FHUn5ZlZNbCvj28fChzr53ZdvdabdZ2Xu3qeDRzuRW3dGaj2nWvboP/t86ptXa2P5e/uzHUD8d2drY5z2Ubf3V+uO1tbz/bdjXbO5fSizq455+LmATzc3+26eq036zovd/UcKI2W9p1r28LRPq/aFo72RdN3dw7fV9i+u962T99d37+7M9oU1u/u1CPehqGWhWG7rl7rzbplvXjeXwPVvlhqW1frY6l9Pa0biLb1dn/67s5t3dnaGu7vDojCYahYZWalrh/XbYl0sdy+WG4bxHb7YrltEN72xVvPIpI97HcBHovl9sVy2yC22xfLbYMwtk89CxER6ZF6FiIi0iOFhYiI9EhhISIiPVJYRAEzu8zMHjKzX5vZKr/rCSczC5jZD8zsATP7kt/1hJuZzTOzN0Lf3zy/6wk3MxtiZqVmtsjvWsLNzCaHvrc/mtnf+V1PuJnZ9Wb2KzP7vZl9vKftFRYeM7PfmlmVmW05Y/1CM9tuZrvM7O7u9uGce8M59zVgOfCfXtZ7LsLRNmAJUAi0AOVe1doXYWqfA04AKURQ+8LUNoB/BJ7ypsq+C9Pv3bbQ791ngLle1nuuwtS+Z5xzfwt8DfjrHj9TR0N5y8wup+OPxaPOuWmhdUFgB7CAjj8ga4GbgCDwwzN28RXnXFXofU8Btzjn6gao/G6Fo22hx1Hn3C/N7I/OuU8PVP09CVP7Djvn2s0sF7jPOfe5gaq/O2Fq20wgi44gPOycWz4w1fcsXL93ZrYY+DvgMefc4wNVf0/C/HflXuC/nXPvdveZCWFtgfwF59xKMys6Y/VsYJdzbg+AmT0JLHHO/RDosjtvZqOAY5ESFBCetplZOdAcWmzzsNxzFq7vLuQokOxJoX0Qpu9uHjAEmAI0mNkK51y7l3X3Vri+O+fcUmCpmT0HRExYhOn7M+BHwJ97CgpQWPilADjQabkcmNPDe24BfudZReFzrm17GnjAzC4DVnpZWJicU/vM7FPA1UAG8HNPK+u/c2qbc+7bAGZ2M6EelKfV9d+5fnfzgE/REfIrvCwsTM71d+8OYD4w1MzGO+ce6m7nCoso4Zz7rt81eME5V09HEMYk59zTdARizHLOPeJ3DV5wzr0GvOZzGZ5xzt0P3N/b7TXB7Y8KYGSn5cLQulgQy22D2G5fLLcN1L5+UVj4Yy1QbGZjzCwJuBFY6nNN4RLLbYPYbl8stw3Uvn5RWHjMzJ4AVgMTzazczG5xzrUCtwMvANuAp5xzW/2ssy9iuW0Q2+2L5baB2ocH7dOhsyIi0iP1LEREpEcKCxER6ZHCQkREeqSwEBGRHiksRESkRwoLERHpkcJCRER6pLCQuGZmGWZ2W6flfDP7o0efdb2Z3dPN69PN7BEvPlukv3RSnsS10GWel5+6J4DHn7UKWOycO9zNNi/Tca+B/V7XI3Iu1LOQePcjYJyZbTCzn5hZ0am7j5nZzWb2jJm9ZGZlZna7md1pZuvNbI2ZZYa2G2dmz5vZOuu4heqkMz/EzCYATaeCwsz+ysy2mNlGM+t8afZldFzTRySiKCwk3t0N7HbOzXLOfauL16fRcU+DC4EfAPXOufPouC7PF0PbPAzc4Zy7APi/wC+62M9coPMNZu4BrnbOzQQWd1pfClzWj/aIeEL3sxDp3quhuxPWmdkxOv7lD7AZmGFmqcAlwB86bjwGdH1HvDygutPyW8AjoVvldr7fRRWQH8b6RcJCYSHSvaZOz9s7LbfT8fsTAGqdc7N62E8DMPTUgnPua2Y2B7gWWGdmFzjnaui4n3VDmGoXCRsNQ0m8qwPS+vpm59xxYK+Z/RV03NfYzGZ2sek2YPypBTMb55x72zl3Dx09jlM3rZkAbOlrPSJeUVhIXAv9a/6t0GTzT/q4m88Bt5jZRmArsKSLbVYC59mHY1U/MbPNocn0VcDG0PqPAc/1sQ4Rz+jQWZEBYmY/A5Y5514+y+vJwOvApaEb2YhEDPUsRAbOvwKDu3l9FHC3gkIikXoWIiLSI/UsRESkRwoLERHpkcJCRER6pLAQEZEeKSxERKRH/x+QM2tjVjxS/wAAAABJRU5ErkJggg==\n", 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\n", 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" + "
" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -532,7 +397,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 13, "metadata": {}, "outputs": [ { @@ -540,10 +405,9 @@ "output_type": "stream", "text": [ "DEFCAL RX(pi) 0:\n", - " FENCE 0\n", - " NONBLOCKING PULSE 0 \"rf\" drag_gaussian(duration: 1.2e-07, fwhm: 3e-08, t0: 6e-08, anh: -190000000.0, alpha: -0.5128791143256078, scale: 0.63376686965814, phase: 0.0, detuning: 0.0)\n", - " FENCE 0\n", - "\n" + "\tFENCE 0\n", + "\tNONBLOCKING PULSE 0 \"rf\" drag_gaussian(alpha: 0.3183552471062913, anh: -220655329.522463, detuning: -321047.14178613486, duration: 2.4000000000000003e-8, fwhm: 6.000000000000001e-9, phase: 0, scale: 0.625214040700785, t0: 1.2000000000000002e-8)\n", + "\tFENCE 0\n" ] } ], @@ -563,7 +427,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 14, "metadata": {}, "outputs": [], "source": [ @@ -584,22 +448,21 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 15, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "DEFCAL RX(pi/2) 0:\n", - " FENCE 0\n", - " SET-SCALE 0 \"rf\" 0.353088482172993\n", - " SHIFT-FREQUENCY 0 \"rf\" 1000000.0\n", - " NONBLOCKING PULSE 0 \"rf\" drag_gaussian(duration: 6.000000000000001e-08, fwhm: 1.5000000000000002e-08, t0: 3.0000000000000004e-08, anh: -210000000.0, alpha: 6.389096630631076)\n", - " SHIFT-FREQUENCY 0 \"rf\" -1000000.0\n", - " FENCE 0\n", - "\n", "DECLARE ro BIT[1]\n", + "DEFCAL RX(pi/2) 0:\n", + "\tFENCE 0\n", + "\tSET-SCALE 0 \"rf\" 0.353088482172993\n", + "\tSHIFT-FREQUENCY 0 \"rf\" 1000000\n", + "\tNONBLOCKING PULSE 0 \"rf\" drag_gaussian(alpha: 6.389096630631076, anh: -210000000, duration: 6.000000000000001e-8, fwhm: 1.5000000000000002e-8, t0: 3.0000000000000004e-8)\n", + "\tSHIFT-FREQUENCY 0 \"rf\" -1000000\n", + "\tFENCE 0\n", "RX(pi/2) 0\n", "MEASURE 0 ro[0]\n", "\n" @@ -623,7 +486,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 16, "metadata": {}, "outputs": [ { @@ -631,13 +494,12 @@ "output_type": "stream", "text": [ "DEFCAL RX(pi/2) 0:\n", - " FENCE 0\n", - " SET-SCALE 0 \"rf\" 0.353088482172993\n", - " SHIFT-FREQUENCY 0 \"rf\" 1000000.0\n", - " NONBLOCKING PULSE 0 \"rf\" drag_gaussian(duration: 6.000000000000001e-08, fwhm: 1.5000000000000002e-08, t0: 3.0000000000000004e-08, anh: -210000000.0, alpha: 6.389096630631076)\n", - " SHIFT-FREQUENCY 0 \"rf\" -1000000.0\n", - " FENCE 0\n", - "\n" + "\tFENCE 0\n", + "\tSET-SCALE 0 \"rf\" 0.353088482172993\n", + "\tSHIFT-FREQUENCY 0 \"rf\" 1000000\n", + "\tNONBLOCKING PULSE 0 \"rf\" drag_gaussian(alpha: 6.389096630631076, anh: -210000000, duration: 6.000000000000001e-8, fwhm: 1.5000000000000002e-8, t0: 3.0000000000000004e-8)\n", + "\tSHIFT-FREQUENCY 0 \"rf\" -1000000\n", + "\tFENCE 0\n" ] } ], @@ -647,7 +509,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 17, "metadata": {}, "outputs": [], "source": [ @@ -656,22 +518,22 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 28, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "array([[1]])" + "{'ro': array([[0]])}" ] }, - "execution_count": 19, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "qc.run(exe)" + "qc.run(exe).get_register_map()" ] }, { @@ -683,7 +545,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 19, "metadata": {}, "outputs": [], "source": [ @@ -701,7 +563,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 20, "metadata": {}, "outputs": [], "source": [ @@ -710,22 +572,22 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 33, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "array([[0]])" + "{'ro': array([[1]])}" ] }, - "execution_count": 22, + "execution_count": 33, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "qc.run(exe)" + "qc.run(exe).get_register_map()" ] }, { @@ -744,7 +606,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 22, "metadata": {}, "outputs": [ { @@ -752,11 +614,11 @@ "output_type": "stream", "text": [ "DEFCAL RZ(%theta) 0:\n", - " FENCE 0\n", - " SHIFT-PHASE 0 \"rf\" -1.0*%theta\n", - " SHIFT-PHASE 0 7 \"xy\" -0.5*%theta\n", - " FENCE 0\n", - "\n" + "\tFENCE 0\n", + "\tSHIFT-PHASE 0 \"rf\" -1*%theta\n", + "\tSHIFT-PHASE 0 1 \"xy\" -0.5*%theta\n", + "\tSHIFT-PHASE 0 103 \"xy\" -0.5*%theta\n", + "\tFENCE 0\n" ] } ], @@ -775,7 +637,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 23, "metadata": {}, "outputs": [ { @@ -783,12 +645,12 @@ "output_type": "stream", "text": [ "DEFCAL RZ(%theta) 0:\n", - " FENCE 0\n", - " SHIFT-PHASE 0 \"rf\" -1.0*%theta\n", - " SHIFT-PHASE 0 7 \"xy\" -0.5*%theta\n", - " FENCE 0\n", - "\n", - "{Parameter('theta'): 3.141592653589793}\n" + "\tFENCE 0\n", + "\tSHIFT-PHASE 0 \"rf\" -1*%theta\n", + "\tSHIFT-PHASE 0 1 \"xy\" -0.5*%theta\n", + "\tSHIFT-PHASE 0 103 \"xy\" -0.5*%theta\n", + "\tFENCE 0\n", + "{Parameter('theta'): (3.141592653589793+0j)}\n" ] } ], @@ -807,7 +669,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 24, "metadata": {}, "outputs": [ { @@ -815,8 +677,9 @@ "output_type": "stream", "text": [ "FENCE 0\n", - "SHIFT-PHASE 0 \"rf\" -3.141592653589793\n", - "SHIFT-PHASE 0 7 \"xy\" -1.5707963267948966\n", + "SHIFT-PHASE 0 \"rf\" -1*3.141592653589793\n", + "SHIFT-PHASE 0 1 \"xy\" -0.5*3.141592653589793\n", + "SHIFT-PHASE 0 103 \"xy\" -0.5*3.141592653589793\n", "FENCE 0\n" ] } @@ -837,7 +700,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 25, "metadata": {}, "outputs": [ { @@ -863,7 +726,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -877,7 +740,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.6" + "version": "3.8.14" }, "toc": { "base_numbering": 1, @@ -895,4 +758,4 @@ }, "nbformat": 4, "nbformat_minor": 4 -} \ No newline at end of file +} diff --git a/docs/source/quilt_parametric.ipynb b/docs/source/quilt_parametric.ipynb index ffcf3eea5..2df5334d9 100644 --- a/docs/source/quilt_parametric.ipynb +++ b/docs/source/quilt_parametric.ipynb @@ -4,7 +4,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# Parametric Compilation Examples\n", + "# Parametric compilation examples\n", "\n", "In this notebook, we demonstrate parametric compilation by way of three \"experiments\": \n", "\n", @@ -27,7 +27,7 @@ "from pyquil.quilbase import Gate, Pulse, DefCalibration\n", "from pyquil.gates import RX\n", "\n", - "qc = get_qc('Aspen-8')" + "qc = get_qc('Aspen-M-3')" ] }, { @@ -55,7 +55,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "NONBLOCKING PULSE 0 \"rf\" drag_gaussian(duration: 1.2e-07, fwhm: 3e-08, t0: 6e-08, anh: -190000000.0, alpha: -0.5128791143256078, scale: 0.63376686965814, phase: 0.0, detuning: 0.0)\n" + "NONBLOCKING PULSE 0 \"rf\" drag_gaussian(alpha: 0.3183552471062913, anh: -220655329.522463, detuning: -321047.14178613486, duration: 2.4000000000000003e-8, fwhm: 6.000000000000001e-9, phase: 0, scale: 0.625214040700785, t0: 1.2000000000000002e-8)\n" ] } ], @@ -90,15 +90,14 @@ "name": "stdout", "output_type": "stream", "text": [ - "DEFFRAME 0 \"rf\":\n", - " DIRECTION: \"tx\"\n", - " INITIAL-FREQUENCY: 5145219610.47124\n", - " CENTER-FREQUENCY: 5250000000.0\n", - " HARDWARE-OBJECT: \"q0_rf\"\n", - " SAMPLE-RATE: 1000000000.0\n", - "\n", - "DECLARE ro BIT[1]\n", "DECLARE detuning REAL[1]\n", + "DECLARE ro BIT[1]\n", + "DEFFRAME 0 \"rf\":\n", + "\tSAMPLE-RATE: 1000000000\n", + "\tINITIAL-FREQUENCY: 5041070703.43581\n", + "\tDIRECTION: \"tx\"\n", + "\tCENTER-FREQUENCY: 4875000000\n", + "\tHARDWARE-OBJECT: \"q0_rf\"\n", "SHIFT-FREQUENCY 0 \"rf\" detuning[0]\n", "RX(pi) 0\n", "MEASURE 0 ro[0]\n", @@ -158,8 +157,7 @@ "detunings = np.linspace(-3e6, 3e6, 100)\n", "dprobs = []\n", "for detuning in detunings:\n", - " exe.write_memory(region_name='detuning', value=detuning)\n", - " results = qc.run(exe)\n", + " results = qc.run(exe, memory_map={\"detuning\": [detuning]}).get_register_map()[\"ro\"]\n", " p1 = np.sum(results)/len(results)\n", " dprobs.append(p1)" ] @@ -172,7 +170,7 @@ { "data": { "text/plain": [ - "[]" + "[]" ] }, "execution_count": 6, @@ -181,14 +179,12 @@ }, { "data": { - "image/png": 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\n", + "image/png": 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\n", "text/plain": [ - "
" + "
" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -217,15 +213,14 @@ "name": "stdout", "output_type": "stream", "text": [ - "DEFFRAME 0 \"rf\":\n", - " DIRECTION: \"tx\"\n", - " INITIAL-FREQUENCY: 5145219610.47124\n", - " CENTER-FREQUENCY: 5250000000.0\n", - " HARDWARE-OBJECT: \"q0_rf\"\n", - " SAMPLE-RATE: 1000000000.0\n", - "\n", "DECLARE ro BIT[1]\n", "DECLARE scale REAL[1]\n", + "DEFFRAME 0 \"rf\":\n", + "\tHARDWARE-OBJECT: \"q0_rf\"\n", + "\tINITIAL-FREQUENCY: 5041070703.43581\n", + "\tSAMPLE-RATE: 1000000000\n", + "\tCENTER-FREQUENCY: 4875000000\n", + "\tDIRECTION: \"tx\"\n", "SET-SCALE 0 \"rf\" scale[0]\n", "RX(pi) 0\n", "MEASURE 0 ro[0]\n", @@ -280,8 +275,7 @@ "scales = np.linspace(1e-4, 1.0, 20)\n", "sprobs = []\n", "for scale in scales:\n", - " exe.write_memory(region_name='scale', value=scale)\n", - " results = qc.run(exe)\n", + " results = qc.run(exe, memory_map={\"scale\": [scale]}).get_register_map()[\"ro\"]\n", " p1 = np.sum(results)/len(results)\n", " sprobs.append(p1)" ] @@ -294,7 +288,7 @@ { "data": { "text/plain": [ - "[]" + "[]" ] }, "execution_count": 9, @@ -303,14 +297,12 @@ }, { "data": { - "image/png": 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\n", + "image/png": 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\n", "text/plain": [ - "
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" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -333,22 +325,21 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 11, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "DEFFRAME 0 \"rf\":\n", - " DIRECTION: \"tx\"\n", - " INITIAL-FREQUENCY: 5145219610.47124\n", - " CENTER-FREQUENCY: 5250000000.0\n", - " HARDWARE-OBJECT: \"q0_rf\"\n", - " SAMPLE-RATE: 1000000000.0\n", - "\n", "DECLARE ro BIT[1]\n", - "NONBLOCKING PULSE 0 \"rf\" drag_gaussian(duration: 8e-09, fwhm: 3e-08, t0: 6e-08, anh: -190000000.0, alpha: -0.5128791143256078, scale: 0.63376686965814, phase: 0.0, detuning: 0.0)\n", + "DEFFRAME 0 \"rf\":\n", + "\tHARDWARE-OBJECT: \"q0_rf\"\n", + "\tSAMPLE-RATE: 1000000000\n", + "\tDIRECTION: \"tx\"\n", + "\tINITIAL-FREQUENCY: 5041070703.43581\n", + "\tCENTER-FREQUENCY: 4875000000\n", + "NONBLOCKING PULSE 0 \"rf\" drag_gaussian(alpha: 0.3183552471062913, anh: -220655329.522463, detuning: -321047.14178613486, duration: 2.4000000000000003e-8, fwhm: 6.000000000000001e-9, phase: 0, scale: 0.625214040700785, t0: 1.2000000000000002e-8)\n", "MEASURE 0 ro[0]\n", "\n" ] @@ -379,7 +370,7 @@ " \n", " updated_pulse = deepcopy(pulse)\n", " # Note: duration must be aligned to 4 sample boundaries.\n", - " updated_pulse.waveform.duration = 4*np.round(duration*fdefn.sample_rate / 4) / fdefn.sample_rate\n", + " updated_pulse.waveform.parameters[\"duration\"] = 4*np.round(duration*fdefn.sample_rate / 4) / fdefn.sample_rate\n", " \n", " # When we construct the program, we are sure to include the frame definition\n", " # (since SET-SCALE is applied to this frame).\n", @@ -395,7 +386,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 13, "metadata": {}, "outputs": [], "source": [ @@ -403,36 +394,34 @@ "tprobs = []\n", "for time in times:\n", " exe = qc.compiler.native_quil_to_executable(time_rabi(0, time, calibrations=cals))\n", - " results = qc.run(exe)\n", + " results = qc.run(exe).get_register_map()[\"ro\"]\n", " p1 = np.sum(results)/len(results)\n", " tprobs.append(p1)" ] }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "[]" + "[]" ] }, - "execution_count": 12, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", + "image/png": 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\n", "text/plain": [ - "
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" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -445,7 +434,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -459,7 +448,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.6" + "version": "3.8.14" }, "toc": { "base_numbering": 1, @@ -476,5 +465,5 @@ } }, "nbformat": 4, - "nbformat_minor": 2 -} \ No newline at end of file + "nbformat_minor": 4 +} diff --git a/docs/source/quilt_raw_capture.ipynb b/docs/source/quilt_raw_capture.ipynb index 592ae2cd5..25ec3813d 100644 --- a/docs/source/quilt_raw_capture.ipynb +++ b/docs/source/quilt_raw_capture.ipynb @@ -4,7 +4,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# RAW-CAPTURE on Aspen-8\n", + "# Accessing raw measurement data with RAW-CAPTURE\n", "\n", "In this we are going to show how to access \"raw\" measurement data with Quilt." ] @@ -17,7 +17,7 @@ "source": [ "from pyquil import Program, get_qc\n", "\n", - "qc = get_qc('Aspen-8')" + "qc = get_qc('Aspen-M-3')" ] }, { @@ -26,7 +26,7 @@ "metadata": {}, "outputs": [], "source": [ - "cals = qc.compiler.calibration_program" + "cals = qc.compiler.get_calibration_program()" ] }, { @@ -34,7 +34,7 @@ "metadata": {}, "source": [ "## Peeking at a MEASURE calibration\n", - "We first take a peek at how a measurement operation is specified. We can dot his by looking at the corresponding calibration. Below we consider the calibration for `MEASURE 0`." + "We first take a peek at how a measurement operation is specified. We can do this by looking at the corresponding calibration. Below we consider the calibration for `MEASURE 0`." ] }, { @@ -47,16 +47,18 @@ "output_type": "stream", "text": [ "DEFCAL MEASURE 0 addr:\n", - " FENCE 0\n", - " DECLARE q0_unclassified REAL[2]\n", - " NONBLOCKING PULSE 0 \"ro_tx\" flat(duration: 1.68e-06, iq: 1.0, scale: 0.04466835921509615, phase: 0.0, detuning: 0.0)\n", - " NONBLOCKING CAPTURE 0 \"ro_rx\" boxcar_kernel(duration: 1.68e-06, scale: 1.0, phase: 2.6571617075901393, detuning: 0.0) q0_unclassified[0]\n", - " PRAGMA FILTER-NODE q0_unclassified \"{'module':'lodgepole.filters.io','filter_type':'DataBuffer','source':'q0_ro_rx/filter','publish':true,'params':{},'_type':'FilterNode'}\"\n", - " PRAGMA LOAD-MEMORY q0_unclassified \"q0_unclassified[0]\"\n", - " PRAGMA FILTER-NODE q0_classified \"{'module':'lodgepole.filters.classifiers','filter_type':'SingleQLinear','source':'q0_ro_rx/filter','publish':false,'params':{'a':[1.0,0.0],'threshold':0.000241237408735565},'_type':'FilterNode'}\"\n", - " PRAGMA FILTER-NODE q0 \"{'module':'lodgepole.filters.io','filter_type':'DataBuffer','source':'q0_classified','publish':true,'params':{},'_type':'FilterNode'}\"\n", - " PRAGMA LOAD-MEMORY q0 \"addr\"\n", - " FENCE 0\n", + "\tFENCE 0\n", + "\tDECLARE q0_unclassified REAL[2]\n", + "\tPULSE 0 \"rf_f12\" drag_gaussian(alpha: -1.394451807996698, anh: -190000000, detuning: 0, duration: 4e-8, fwhm: 1e-8, phase: 0, scale: 0.28637132443339525, t0: 2e-8)\n", + "\tNONBLOCKING PULSE 0 \"ro_tx\" flat(detuning: 0, duration: 2.08e-6, iq: 1, phase: 0, scale: 0.158489319246111)\n", + "\tNONBLOCKING CAPTURE 0 \"ro_rx\" boxcar_kernel(detuning: 0, duration: 2.08e-6, phase: -0.12799541944924012, scale: 1) q0_unclassified[0]\n", + "\tPRAGMA FILTER-NODE q0_unclassified \"{'module':'lodgepole.filters.io','filter_type':'DataBuffer','source':'q0_ro_rx/filter','publish':true,'params':{},'_type':'FilterNode'}\"\n", + "\tPRAGMA LOAD-MEMORY q0_unclassified \"q0_unclassified[0]\"\n", + "\tPRAGMA FILTER-NODE q0_classified \"{'module':'lodgepole.filters.classifiers','filter_type':'SingleQLinear','source':'q0_ro_rx/filter','publish':false,'params':{'a':[1.0,0.0],'threshold':0.00044068585795624876},'_type':'FilterNode'}\"\n", + "\tPRAGMA FILTER-NODE q0 \"{'module':'lodgepole.filters.io','filter_type':'DataBuffer','source':'q0_classified','publish':true,'params':{},'_type':'FilterNode'}\"\n", + "\tPRAGMA LOAD-MEMORY q0 \"addr\"\n", + "\tPULSE 0 \"rf_f12\" drag_gaussian(alpha: -1.394451807996698, anh: -190000000, detuning: 0, duration: 4e-8, fwhm: 1e-8, phase: 0, scale: 0.28637132443339525, t0: 2e-8)\n", + "\tFENCE 0\n", "\n" ] } @@ -67,8 +69,7 @@ "\n", "qubit = Qubit(0)\n", "\n", - "measure_defn = next(defn for defn in cals.calibrations \n", - " if isinstance(defn, DefMeasureCalibration) and defn.qubit == qubit)\n", + "measure_defn = cals.measure_calibrations[0]\n", "\n", "print(measure_defn)" ] @@ -104,16 +105,15 @@ "name": "stdout", "output_type": "stream", "text": [ - "NONBLOCKING PULSE 0 \"ro_tx\" flat(duration: 1.68e-06, iq: 1.0, scale: 0.04466835921509615, phase: 0.0, detuning: 0.0) \n", + "PULSE 0 \"rf_f12\" drag_gaussian(alpha: -1.394451807996698, anh: -190000000, detuning: 0, duration: 4e-8, fwhm: 1e-8, phase: 0, scale: 0.28637132443339525, t0: 2e-8) \n", "\n", - "NONBLOCKING CAPTURE 0 \"ro_rx\" boxcar_kernel(duration: 1.68e-06, scale: 1.0, phase: 2.6571617075901393, detuning: 0.0) q0_unclassified[0] \n", + "NONBLOCKING CAPTURE 0 \"ro_rx\" boxcar_kernel(detuning: 0, duration: 2.08e-6, phase: -0.12799541944924012, scale: 1) q0_unclassified[0] \n", "\n", "DEFFRAME 0 \"ro_rx\":\n", - " DIRECTION: \"rx\"\n", - " INITIAL-FREQUENCY: 7262459787.78838\n", - " HARDWARE-OBJECT: \"q0_ro_rx\"\n", - " SAMPLE-RATE: 2000000000.0\n", - "\n" + "\tDIRECTION: \"rx\"\n", + "\tSAMPLE-RATE: 2000000000\n", + "\tINITIAL-FREQUENCY: 7359200001.83969\n", + "\tHARDWARE-OBJECT: \"q0_ro_rx\"\n" ] } ], @@ -149,8 +149,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "DECLARE raw REAL[3360]\n", - "RAW-CAPTURE 0 \"ro_rx\" 1.68e-06 raw[0]\n", + "DECLARE raw REAL[4160]\n", + "RAW-CAPTURE 0 \"ro_rx\" 2.08e-6 raw[0]\n", "\n" ] } @@ -161,11 +161,12 @@ "duration = capture.kernel.duration\n", "sample_rate = frame_defn.sample_rate\n", "memory_length = ceil(duration * sample_rate)\n", + "num_shots = 1000\n", "\n", "raw_capture_no_pulse = Program( \n", " f'DECLARE raw REAL[{memory_length}]',\n", " f'RAW-CAPTURE {frame} {duration} raw'\n", - ").wrap_in_numshots_loop(1000)\n", + ").wrap_in_numshots_loop(num_shots)\n", "print(raw_capture_no_pulse)" ] }, @@ -176,7 +177,14 @@ "outputs": [], "source": [ "exe = qc.compiler.native_quil_to_executable(raw_capture_no_pulse)\n", - "qc.run(exe)" + "results = qc.run(exe).get_register_map()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "`RAW-CAPTURE` measurements are returned in a flat array, so we need to reshape our results." ] }, { @@ -185,7 +193,8 @@ "metadata": {}, "outputs": [], "source": [ - "raw_results_no_pulse = qc.qam.read_memory(region_name='raw')" + "shape = (num_shots, -1)\n", + "raw_results_no_pulse = results[\"raw\"].reshape((num_shots, memory_length))" ] }, { @@ -204,14 +213,14 @@ "name": "stdout", "output_type": "stream", "text": [ - "shape (1000, 3360)\n", - "data [[ 156. -268. -488. ... -152. -96. 176.]\n", - " [-704. -68. -588. ... 572. 20. 452.]\n", - " [-304. -412. -784. ... 76. 628. 668.]\n", + "shape (1000, 4160)\n", + "data [[ -156 464 -484 ... -720 -36 -80]\n", + " [ -276 -72 -772 ... -160 -60 -184]\n", + " [ 292 700 -104 ... 168 -952 200]\n", " ...\n", - " [-408. -788. -500. ... -80. -116. 868.]\n", - " [-736. -400. -956. ... 528. 872. 272.]\n", - " [-388. -608. -432. ... 556. 548. 520.]]\n" + " [ -728 508 -268 ... 368 748 -188]\n", + " [ -116 496 40 ... -1128 -404 340]\n", + " [ -204 -292 -12 ... 940 260 -824]]\n" ] } ], @@ -227,14 +236,12 @@ "outputs": [ { "data": { - "image/png": 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5DHRPXEQmUS5vCKVJuAxMuaLBJDWek2+cR2ffu4xeXLcn8hkb7uC2NHTSrM2NJd+74JpOlO1N3TR1I/tkeBzQvQEATOLvTivgDg5kmPsW1tBJ186JfQbVkh/cCQQAAMAU1pRA73znO+nII4+kWbNmjX/X2dlJy5YtoxNPPJGIiE488URqb2+nVatWjT8ze/ZsKhaLdMIJJ4w/M3/+fBoaGhp/ZsaMGXTMMcfQm970ppRSAwAA6cO7RMjetq0YeU9f1sDilZ/WnkEiIpq52YwVvCyn3ryAznloJW3c3WFbFGVOvnEe/eyvq2jR9mbbogCQeTDe6sOvVNc5amZQV8+N53n06LKdtKaOfe8vcJccV0sAnEBnG3NtHHFMHAAyjVElUHd3N61du5bWrl1LREQ1NTW0du1aqquro0KhQL/+9a/p8ssvpxdffJE2bNhA3//+9+moo46ib3zjG0REdOyxx9Kpp55KP/nJT2j58uW0aNEiOvfcc+mss86io446ioiIvve979GBBx5I55xzDlVWVtKTTz5Jt9xyC5133nkmkwYAiCGL1uJZJC6XXS4Cm6I5nC3G8dcJL+SoTWebhRWyOKbdwcmW77bGLuW4XcFFhVY590cgO2S5T3fZnaa/W3ZYTKeYvaWJ/vTcRvrm7YttiwIAAAAAFTD3scJkk4GvXLmSPv/5z4//PaaY+cEPfkAPPvgg/e53v6Oenh766U9/Su3t7fTpT3+apk6dSgcffPD4O48++iide+659MUvfpEqKirozDPPpFtvvXX890MPPZSmT59Ov/zlL+kjH/kIveUtb6ELL7yQfvrTn5pMGgBCzNnSRNM3NdJFX3s/HXzAJNviJFJui9G8p5e1AZx2kstlszPvdUkUl5WRWcGmUj2P5Yc2CoAYeewHXKAYOAmEjomHqqZu2yIIMWNTI83d2kQXfe0DdODksryKeRzUcFBuZO1eVKfHepdlAyBjGFUCfe5zn0u0br300kvp0ksvjXzmzW9+Mz322GOx8Rx33HG0YMECaTkBMM2PHlxBRET/+KbX0S8//27L0gCdXDdtC/UPFenPX31/6nHHL6jUZ0tOTwYlMb0IzUqeeR4FMsOUtXTWFkB5wkRdRGm6BRRaAMRT09xDP3pgOf3htGPpmCPfaFucAP7+NC9tOSfJ0MZPHl5JRETvPvwN9KNPvdOyNCCLZGVdAQAAIBuUt0kKACmzp73Ptgip4Np8ddH2Zvr6XxZqdwc0MDxCU+bsoPsW1lBDR7/WsHngzWfXysPmgsa1vMgj/s0sLF7dAOUgDjYzQZq8umEvnTFlEe1q7bUtSixZdPc7Z+s++n/3LbMtRgkBF63Zy1YrZDWfGjr51gg4EWaHlbWt9PW/LKTVuGsKZBid/aNrRnyuyQNAloESCIAUwfBlh7PvXUbr6zvohw+s0BpusTjxeWikGP1gRjFlmZrniZxMntm6s8DUZoo/PfktaffJi2W5KLraE+ouSJNfPLqa1u1qpz88u962KCWk0ZeY3tzf1zVgNgIJsqhQS8J0irI6f4Ryx23+7c4ltL6+g7595xLbogAAGORwuJRer1wzdQs9vapeszSgnIASCACgHVcH6vbeQa3hBfy5W1jf8UYpWx6ulqMKLrqDy9tGELY63CBn1YqbvLWneNDa8kZn37BtEUpwsUl19g9lvq1nW3oA9FEsetQ9kG7fx+pDRopolaB8cVnJ7q5k8sjOYe6Yu0OzJKDcgBIIgBTBdo1ddCtqgv7c0y/duKmDa3sjrslTjvgn92mVR9Y36dLCvPW0pnDKqDjT6NHRPkCYIupEIuvr2+m4i6fTfz+x1rYoSuSxrF00tHGBcj2Z6ydunfTde5bSBy+aRvVt6bjDXFbdQsddPJ3+8LcNqcSngssb88At8lxXMF8GQB9QAgHAQffAMK2vb1cegDB85Ren13eSFc+YO7gc3wmUJXdwpgjcCWRPDACY5Ky5gZzh4j6Ha336XfOriYjopXV7LEuiRuBOICdyFgA7LKtpJSKiF9am06ZvmVVFRERPrtyVSnwAZA0X5yIgH0ChZx8ogQDg4LRb5tPX/7KIZmxqtC1KJiiXxaztQSxuL1OHZFkZo22Xg5+suIPz9v9nAr/ve4eKBpQJeVOqAgDyCYZHQETU2NlPc7c2OTWXBQBkD3Qh2QLrFWALKIEA4GBXax8REb2yYa9lSYBL+OdaFSkP5NMqG6iqqZvrWdeUcjYnqZhusdFZfQNhuVX13MVwPsluLqVRfD0Dw/TE8jptF7djIw1kGdO1t1j06G+r6ql6H9/8wUly0sSLuH9EmKz273FTrE9cNYt++MAKmrqxITV5AAAgjMvdq8OiOUV77yA9sbyOOvuHbIsSicv1rFyYbFsAALIEOi1OHM2ngmYVgFf0hZ2idmFbYxf91yOrYp/RXVc9z1OyWDGpiHLJksZld3AB1zMG22hQB+RoZwCkMFGal7xUSU+trKd3H15DM8/7rIEYAMgOpje5n1uzm/736XVERFR79elG43IJh6YJTLC+4COP+TSWpgXbm52vpyB98ljnARAlj+3AxHzvvx5ZRctqWmn6pka6/4cf0x4+yAc4CQQAAJL4N7jTXLfVNvcIPc+aY+RpoemSZahDosTiUTpKoazkB+DDRFsbs37eznmyMQltStUMdJIZEBE4xqq6NqX3s9qnp31am4diVjMTCONg9XMSl+bzAKiSteqcMXEBg7H71WZvabIsSTSoZ/aBEgg4xYOLaujKVzfbFgMAcVJc4KluZjy7up7+9NxGTdKIg9MhOcexS8SB2+Xg0kk+AGyTtU2jrFDhYDeT97Ku3NNhWwRn4PFEkPf6AAAwi84uBN2RebD+AbaAEgg4xcUvbaK751fTxt1uLhwwIPLhbD5FjLWyg7CtBZuouGExz3tqHdW19oqFoTGtuvPNpUmUQ6LEEra21HonkK+hwaqTD1cVoyg/4Aq3zqqiXz+xJvd10tW+IOvodgesgzyWtH8u8bXbFmoPP495BtInK3N1kG1QzwAoJe/z+CwAJRBwkt7BEdsiAJCIfwhL09UIT1TltJEkMpkon1wpxUbayzm/AUhCdR1UTvsLN87YRs+v3UMratXcmbmO6bVxOPwsLsal5jcONha/O7jslUIyRQOJymB1FSDXieNqgvkuX1BuZK0+Z3E+oIOspzvL8js4NSsLoAQCuWJwuGhbhFygqs9wdSzSPdD4F/AuD2IuTA4cEAH4SKs4UO5ieJ5nZByTLYc0TtnBUhKIMDCcbyMh813mRAyXvFRJn79+LnX1D8m8nvyoQ/0/3MHlg7wbODlYTYEFMC8CMuRtTEljX6+xs58+dfVsum1WlfG4wCg5q6aZBEogkBtumVlF773gNVpZ22pbFFAm+Cdbabok44lL90QwLwM21lXpkvcNG92cdfdS+tQ1s6nPkdOwaSiQ026TvG6h0Fdkj/beQRoxcfwgRdI02nhgUS3VtvTSUyvrU4vTFmme1ubFBQMdkA5cJ/hRHVLDRfeQfnTUhe6BYeofcmMuCbKH7fFp055Oeu8FrxmP5+aZVbSno59umLHNeFwAuAKUQCA33DRztPO++KVKY3HYHhABIOJ0qRDx2QXQjOyTWhmgrIVYVtNK+7oGaOVOdWMGE1lfTm23jJKaC7Y3ddOHL51B37lriW1RlDBd71ht2NTc1iW9i0OijIM+pnxQrX+e59H2pi4aHtFjGV/T3OOkggBtQg89A8P0wYum0ceumGlbFJAieTK8u2H61lTi0dWnAn7KaS3pKlACgdzhunVPOZCnSUgcLqdTz6aOu+mTxcUU2eqx0piExUXR1T9Ey6pbqJhxy31d+N1cveGgyVrDdrmvKmdQLvr42+rR0ywrd+b7ziAgh5sngfyf0RfwkOdsikvb06vq6eQb59PP/rpKOZ7FO5rp89fPpW9MWaQcFjCPTJ3f0tBFRERd/cOapSmls3+Ilte0Yi6fA8qxBPNQbXn6iN7BYVpa3ZL50/JAD1ACgdzh4DoPOI50ldE8jlY1dtHCqubE50Q3M2wumhfvaKbNezvtCZABrBSPwUj9G9txde+su5fSd+5eSo8u22lOmIzgeUQ9AxNKoNdrUAJlZShM05WmCG5KBXJv6OP4+lxEcWlq7iETrovdTNFQBtlUKJnOZ8ebRzSKGXPvgmoiIpq5uYlWKZ4Ufnb1biKaUBS4RJ6VfCKot6P0MvIbUxbRv9+1hJ5ZlX+3oiA90hqzy8UY64f3r6Cz7l5Kd8+vti1K2eS5y0AJBIAA6LL4cHUSr3tCoduY4ks3zaf/d98yqmqMX5jpTgfPhoHMpsKu1l763j3L6LRbFtCcLU0TYVlsSQ7uA6VGXBmaype4sq7cM6ocxMJxlG6fxeYkDbeYO9oNA424uLEN1LDhDq4ccFHZnMeyyGOa0iJuvuTP1zPvWEJd/UMpSARAMtX7eoiI6MV1eyxL4h5Z6w7Lsf+2eYItzVnJ8v13pj+5oi7FWIGrQAkEACgbdFsQB0886JtEbG/qjv2dJx0BNyOWpqG1LT3jn3/+6GorMmQBG1tTadUJnmYxjKPpRDR6iS8LLY4dNWWxiXqju/67t9ULAD+ic4mHl9TSzE2N/OGnOB8wpXeRCddBHVBwDqkxXBcVXtoox11KKq0fHX3ySiBbtSPP1VI3ZVrNgSoa6025VEGbS9ByyeMw6N/so9fpPAAOgDkmyDp6bvMRc9mS5uJMZfDvHxqhq1/bQl943+H6BCpTTG1ABeNIBv6JR/ErgTBBlidLWYdyBmFEqkTlng668IVKIiKqvfp0MwI5iEy7cf1OIL3homNxDZ7aJzIXz6uiLy0ldU6zDzgGqpkK6eReHkbLPKQBpAtOAoH8gZmddcplMLLl757HU1QgDA1yulKm9y+qoQcX19L3719uW5RMk9YeEc9mlKl7EbJG7yD7JJDNEU1Hyexq7aWfPbJK+R4DUErW7sd5Ynkd/d/T66D4jUGkO2zqGjAniA9/PRORz6WuXYOHTe24lD+6wJ1A8sSlLauKvazKnQbN3QP0i0dX0fxt+0p+87cj3J8BgDlsrkFtTEvyakAAxIASCAARfOPE6ro2+rc7FtO6Xe38r2MelyusFaeoEijpWXlJtMnAy67WPv2BlglxxaF1Suh3RQh3cNxE5ULWc+e/n1hDUysb6Mw7ljB/170eiQpuPB5uS2sd0gA/f3h2Az2zqp5eXq//7oC8FJeLG36uySQzt3Bx48PU5pOLadVFVtdRqkUSTnZ+S7h8uPSlTfTqhobcGLXluNuRJnvdlX2Ja5t76Nt3LqZ525qSH9aB/SQDkDpQAoHckdYc5Fu3L6aVO9vo3+9ib2yNkXcrKFb6XE1z1ARVduJq8zLBJEQOAqVdXu7mWvngkTubKTgVsL8sAtngZp7I1Jm6lt7xzw0d/fSlG+fRQ4trfU+k5PJBUHZX2kce6VS4zyKr/PKx1XTOgysSx1vT9a5c67WL+5OBeVqZlgvINxh3o9nbAaM2oBedzcdWW/z1k2tpRW0bDY2kI0Ae1qCu7bvN37aPPnbFTLp+2lbm746JW5ZACQRyh6olSt/giNDzA8PFyN/mbm2i4y+ZPv53Hq1k0JGPonXilRAaj2973RMCncGpyJaXNuTahM0UPMnMwwRcBNExJuv4S/f66VupqqmbLnqx0po8LlFeNV8PWRwDegeH6ZX1e2nWliba09Ef+6xxJZDZ4AOYKiuZcF2sN6bmAXmeX5g4lTYwPELDI9FrORGGR4o0MFw6xvO47owtttBvKvXZVltIM94szLOy5s4VuE8e+v7WnsFU4ys3l+Rp9Dp3zN1B+7oG6C9ztqcQG5ABSiAAfFw/bSsde+FUWlBV6p+XSHzx8cMHVlBnf74v+2YlKY/pZGErnVwXzPo/J8hZJsUFfKS1UODpM8tJCfTwklo69sKp9Pya3anG60qfzNpoc3FzlshNudp6Bql/yP3NLRDE38U5WK0SCdwJJPCerXsTWfAYz6RNGQ19zjI4XKSPXDaTPnvdXC3hffHGefThS2ZI9dNx86U8VJW05iFLdrTQsRdOpate25xOhIaRyTdX5nwAuA6ain6i7rgdwzUXw+UIlEAgd6gs88Y01pe+tEmPMGVAlqxOdG8B2BrE8uzvHRgkpeoq6uKmnO4EuvCF0RMwv35ybeB7b/9/4387miWqclW4eDt7RmjtGaR/uWwGfeyKmVbi3tnSoy08R6u3MfyWpi4qI5LIw4LdzXwXcdzLT9bniDv2dVNHhMtI3WNjbUsPdQ8M0+52Pa65drb0Ut/QCFU1dmsJb4wsrbX8iEqtI5WXvzK6hr9rXrWG0AyS7WYKckhGuxklstq35oWsz1eyCpRAIHfo6EzKfTgQOaJeznnl9LzB83+Uu4PAmBWvmWAzhe26U3IFjcF4knD5bi2gjn+BNRlKIGlW7WwjIqKu/ngLOxP862Uz6LPXzaWGBFdmNnF5Hen5DsAlyWl6Q8L22AMmMDX02dzUUnVxVdXYRV+8YR595LIZmiRyA939UxZdiaXVR6OPA0ADAu1oRW1rZu+4ysMSNGtJQB9tHyiBQO7QMceEVUA+0W1tYMqPbFKwPPuoui13dYankm3ZW/aWNzx9aTmdBOJFd45It18v/KeaZJMqSqedabdpl/oQ23ONpq5+enZ1Pbfrok17OwxLlE/87SZRCWRYljRxSTHH6Hqsk8elhuoYsWh7MxFFzwtMZpnO/liq7nvRyp2wZEp3AqU4CtoY43LYrEBWSbky2hhTVte10bfvXEInXjU7/cg1UG53Ajm1CALWmGxbAABYuLRw9FNu4wQPecgT2eom6vZKJlwWPO3DL0/ynUDsB1xth0COOHdjpsoaJ4H4yUNfmsQkxkZs2v1MVrOZtZmmmnffnLKYdrf30dbGLjr/tGM5ZFCLT3c4pnl+zW76+zccSCe9561K4fi7uCS3ZKY3JGQ26QN3AgnI51I5u3hywrYSOItkNctE7/Is+S2j6RZGQ0Lz1q7ylRrgMjJ1bUVNq3Y50sTmErRc91nQp9nHQbsoABRPCpRph2oL1oZCzubfkbicTh2XN7ucPlfh7X5sZK2N8uSJcwQVzQiubIT4pZjsojl+BK5tGpsozbF7MGZsajQQerapae6hXz+5lv7jvuXKYTl1J5Ab3YISMoosFz1R+jefHOmuncfl+6nixlzbzR64h8kq4W4rKTPKoN3rrmupG4ZZHHwx7gNb4CQQyB06Nm7QJ/OThwFMPgl2Es/j1i5wEkhDnDLlHP1KDipNBFlJmUdeYOKr9SRbYGML7uB4WF3XTitq28b/1t2vutJPT3JgJ5ZfUetIpu3HlTLUgcqiO60a1Nip7/4jvxIoSX4Xy9m1tiCDi5cP5yFfw7imPE8Tf9vVXd3CdcWFXObpx8vF4AkAJhmri+XYdvKQ5qylwRUjxXImOyaZoKxwcK1GRNnrZIFZTNUH/+B42cub6OrXtgR+53MrUT6VNYvt0oqfdBsngTiegTs4on1dA9TaM6g1TBObnlLKYN87kxlKIO2bho7OH1iIZad+d3CSgjiJ7nqkNTSBzeEcFIUUpsdEF9cVWZy75BnV8lAtzrg2UPKTg/U5CZ4+WkeTSOOOj8bOfvrxgyto7tYm6TBc7JNUcFHRXm7orPm8+whZH8fK7U4gtFJABCUQyCM6erfyGg+UYI2driogoqqGaJWpauyir/9lIc3aMjH5N5HmfV0DdN/CGrpz3g7qHRwe/174JJBjE5w8u3uUES+tNHmRfxi8E4ijrHESyAw62r3ufs3mSSDROu6aRbsL3bgLMmQRkS7OdB7LBB+4E0ifKKli3Q0fA7QnCRzOM/+YKzN+pHUnUJpNwVXjI1X+9NxGmr2liX74wArjcanO5dJaA7q21ixHUATi2FQCOTgtSQVUU/tACQRyh9s6oPx1e1GbhMWi556FP2flGB4pxv7+i0dX0/r6jpITOroZ8skxYjAvRec/nucl5lGalOskSpU0WqerCmHXWV7TQp+8ahbN5LyrJal/cKUUWEog7e0Xd5wZQ1cWlltRiG0y2M2dn/91FZ119xL35m+KOOCJsgT/+Dj26dZZVfS56+ZQS/eAHaEcx+Va6ZctPK7l8ZSEq2MqjzJCtTyautTdhbpmaAL4eGHtbvrU1bNp4+4O26I4QdbXeTmb6iSSx7EIiAMlEABACeZJII/om7cvolNunm9UeWGC85/dQB++dEbsBL+tdygVWfzjtD8XeTYz/M/rXqj94tHVdMKVs6irP518SMLVhWgcdvykl244mY8zpYhyxp9fqKQ9Hf30nw+vTHx24+4OOu7iaXTH3B0pSCaOv96FlUDdA8Nl54pBFpO5hBIwi7+O267u8S6nPHptYwMtrW6l6ubuie8dqyEyeejihitrenzjjG1U29JLd8+vTl+gDGDytIFbtTweF+uzDnQUb5bKMQ3SGnPKZXP5f55YS7vb++jnj66yLYp2yvE0l80064ratTlaEmVYzZwDSiCQO0zOQdQ72fxNkFg5MjBcpHX1HbS9qZvq23pTl0kU/8T18eV11D0wTI8s2RnzRjqjV8AFi8f+fozO/iFq9luOCoywO1t7hJR1r21soJaeQZpWyXdKIQzGfjukpvghdzY8y4Frp22lnsERumaq2ZOJROp1aJKvr23q7KcPXjSNGjs1W7xHDLNO7k845CYMmEOk7FxxB5e3+uZi+4/bfIKb1OyhfKdQzPvhuuJCfeZJrpXNyYw0HRfKEMgzMOSORwwT8PZnuucKaTeLrMx10F8AnUAJBHKHDuuocrSECCCQhay88k/6XfTDHka0vI1v0uwPXyTrjrt4On308pnUPTB6d5CIiKfevIB+/tdSi6akMGRLVulOIEasGahiThC8JyqlOLOyGjdE98AwrdvVrjSmJL162OsO4AjDoqWb7/OkSRONdVplQ7pyjPer2ewwyr0tjZNS8emqJ139Q7R2Vzv38zZPxvFEndXpsYvtPu7Ednbz2bYE9ojro3nyxeN8Lquklba8nS5WTU2+csMdXNTT52GemHYKsnInUK66tTylJaNACQQAUILVj/tPlbi0oNElCnPsMj2g+U8CxSSktrln9HFBeaYn3D3i8uQjDdlW7WylqsYubeG5kJ9pyOBCOm3y9dsW0hlTFtErG/Yai+OtbzzIWNglKJbnZJ87ONerhktjFxG7LelyCcSrJNzV2ksLq5o1xKfyMvtr3eWlK7zTbllAv3p8zfjfSUl3pV24IocunLwTqNwHSAlMZplqeXic83SpsDWGlebYJnznaO56Hjkc7K5ACM/zaPH2Zqprcd/jCYjGRWUeAKaBEgg4g67FkFF3cMoi5m+kiboTaAwXrS/DuCqjXyr/wojLolDDHQQu5oqNotrT3kdn3rGEvnTT/PQj14r/TqD89UUuUr1fKfvi2j3SYSTV+be8YUIJNDA8Ih2Pbjbu7qCX1wfT7T8Zmvb+p6PdPDcu3Al06cub6P/dt4xW1LYalCZf1Lf12RYhgC0XL+sETkOZwMX2n0cdUNruDOdsaXKyPwor6FUV9uF8jQutqbOfnlheR32DZucDrioxeaRyoTuI65N05qyr5ZR1WnoG6Xv3LqPPXDfHtijacKGmpO8OzoVUqyGSBBf6PuxB2AdKIJA7dCz00DUJkKQESk+S1DA9YRgfHH2ZJ+rKS4eEplKZtQlXbUuPbRG0EJ/t+lqqDbdzeSYpDw/wuVgrRrgoly0GlfL76m0L6dzH1lBX//D4d/6TQCL3kOWVrObAqp1t9iLP46TCh0qbGxwu0p3zdlDlng65uH2f71lQTWvq2pRk8r92xpRFcoEkhMuLrlNzOonrArFJwsZfFxs6+ulHD66gb9+5xJ5APtTvBIoOIFwf4qL6xpRF9IdnN9DVr21WE0gCF+b3eXMHJwOyYILO/iGaMmc77czJWs41XGjzKmRlKeKiIYsOcpos54ESCOQOFxd6E7gsmxyshap/Au7SnUCunviJQqUuBzbiNWwm6NyQyMh8yyi2N3g8j0IFYUYe2+ksN1zP70mTJqadUAKJwVxoaxrSdrb00sUvVtKedr5TK8qbnWqv5xqVDZUHFtXQ1a9todNvXRgdPmdYz6yqp2/evpjxfjZLz3V3cFnN1zBpTrP3dQ1oDU/97hU1V9i6asCejn4iIpq1pSniCQcbw3507CdnZU/a7f0KcVxNzcUvVtJ107bSqTcvSD3utPt1nXVfR1B/W1VPd8/foSEkc2Rl7M1Kv8bDy+vNuUgHfEAJBJzBpc7NnCwOJVITrLwKKoFSFEYSURFtlCJvnDoX4KpBpW0ddOusKrptVpXxeFbtbKX/fnwNNexfaGcFK/U2f11e6vjb9HlPraVplQ1W4iZSXyxN8gU4FHVsSZGojRXUxXgeXFxL//XIKq5nTSyaK/d00K8eX+OMta6pqUvSuBj+taGjn371+Bqu01cb93QqSKYfU3koE66LRkDoktxlx75u+tXja2ibwF2QcV4QVKufzPhlusqzRHJhnHVBBlUC7sBhdKHE8ppRd5F9Q+64S84rv3tmHQ0OT8zt//fpdXTlq1tox75ui1LFM2JmKQJiuOD5jbZFKHugBAK5Q487OPaUqdwnUixYeRIw8HZv3V2CaLky70HSIkkwfH9dFlWo+J/W4crFdTp6h+jGGdvohhnbqLN/yGhcZ96xhF5ct4d++8w6o/HoJng6LIyZhpqlOmQSlXHJX27Prt4du1Ef1dal+wAv/m9RAu7gRnD6TIQ0NrY27OZzI2ZClq/dtpBeWreHfvzgCkZ8+SxTJqGk/vcTa+ildXvozDtKT+Vojzoj+SzlDs7BuWis+y+FoshGKcqRVv9+9j3LUmt3PIRTzVM/snjSJMt1d+PuDvrePUtpfX071/Mu9kmgvJEZd/zvPLWynp5auavkmc4+s+tyFbIy79EF+h1ABCUQcIjy6oLzA2vw9H/n0iJE18CX1oQhYAkm+K5uGbUeMVcIK6oIB0YmLLxMbS6H8d8VJKyks9Dh2dgc11EPO3qH6Gu3LaR7F1RrkAjYpMKnBBpO2R2ciwsfkfaRJ+UWK91j1WHHvviTQC7NKdJg3a72yN9kciLNDQ+XaqxLronHwP154gRO22gu0sB9Q52jJ739d9rFvxvsocOycYnqaT7NHxGWyaYgo6zSLgNHpCby4Dt3LaHFO1roWww3mqKYMCwE2SHLiomW7kHbIghhM6tF5rMOTmFAhoESCACgRNJJILiDE2fiJJCezDMpr//Yd7kxVk5XvbaZTrp2DrX3ZmfiO7phYeokBvuzLHfN30EbdnfQ5a+kf8lx1tCd97rxjwfDhtzBRTHer6Yaqz5EFqrDI0Wjdy6lvUFhY5GuchJXhXBMAzFjrJU27kDHIlMcLs5FTWWlg0nNNVPmbKcTr5pNu9ui71Sz4Q5OlaT5vav71LauG+wZHDVGS9vAhUWWlQhRjBQ9Gi4D312PLaujj185izbvteveVbYOsdaWIvsZabtuLWakrWRETJARoAQCuUPH4KHbpY5JWrr1XowqStKdQFnFtSSIyhNdh/Ul7H+fXkfvveA1qm/rFXrPVYv25u4BMcv8/Y/eNa+a6tv66IFFtWYE04Qdi0z1MHoH4cebl8j662CTM7WW13VSJKsbqUMjRfrk1bPp1JvnG9sIcm18zBJJWWd6/hQXep6L1cUTZGhH+eC6aVupobOfrpu2VSmc+LmxeGVROf1274Jqeu8Fr9HcrU1C74XHHNH5vo424eoaQ4RAySkmJw/54XkefenGefSZa+cIK4Ky1s/+8bkNtK9rQMrluOqcL1xXBoZHEl2sZyx7S7Apv662mbU6DuwDJRCwyp72PuroHR1cdG1WuLfMM8eUOdvpI5fPpPsX1liTgTWA5X4wYqTPRJqD7uAmIoiLa2yjI/g837uyPLJ0p/S7nufRtsYudesuRRchUzfupY9ePpMufrFShwhOEjglkpKwbT2D1NDRn05kPvqHRqja4YtI00DHWFji2kU1PL/7I2Mn0djhZt2VAqvNspJU29xDTV0DVNVkrv6nbejME53J4k1zThMVl7b6m2JaTJWJVF442P7j+sA8WvK7juqYFFTg6q1wJffzcciqIsHYyev/ezpbd18SlcEa1FFMzrH6hkaourmH9nT0j7tqzDspH5ZncuJVs+m4i6cL3bWbtfZXdODkXprYNojB3MYNoAQC1mjpHqBPXj2bjr90um1RMsuY1dmlL2/SGq7Q8JChk0BR6WJNXOMms8bdwbFk0HUSSEagpPcUMuTBxbV0yk3zuReaPCf9ZCY4V766hYiIHloir9CSxdaELI1m+p8Pr6RPXDVLaAERRmbC+PW/LKQv3DCPFm9vlo43i4i4g9vXNUBr6tpMigM0wtsK3Bx9s8hEv5xmnkZt7h402fySTfeYYCrf8uIOzo+j02bnyMoGksyGeFzSpFJtuM4zjQDNRsmFCzK4REaaTCxKd8k63vdHYUXuUD639oy6Od9Y3yEbhPPY3LOycSeQ7fYQdlWdtfqSF6AEAtbY0tBlJFwdnVseJkxpwcoqZ5VAEZXDUXEDiIoYtRmctIDu7B+il9btod5Bvstww+GLvnDb7O1ERPT82j2ioWilb0jc5ZjKZoSrl+Wa4vY5O6hP0q2bjNTbGkdPQTy/drdUnFmCRzHK2qz52BUz6Zu3L6ZVO9NTBHmRf+jDtpWbKWTar0yTX7S9mbY0xPuit+lepralh2ZvabQWvy14T4KZjjsD0yUmKq6xTKF90x9YJa6P5h+XotYp2awRwq6sNdT8NLJKRxxp332SF8ol32wn01/FJ8VYUWS0axonK+KL5rPt+hPFSNYrTE6AEgg4g64uwWyfh46Lh2IONgziML0YGwtfJhrWoC+ygfOzR1bRrx5fQxc8t1E8ck78MgwlXDzLF556efRLKCjyWLd1wGofd87bQZe8JOdqD/NFfmTyytZpKRSrWB5wnwRSzNiz711Gp968wGgc4nfcTbxw/rMb6McPrqTlNa1qQkjGz/PsUyt30cbdbMvZpKBM93d5uB9CBieVQBkL1wVMpk1n2wvXNp7qJ6QU5JA10vtB8qvSuDBfy6rCLIpy7bOBOMoumyO+j1UChd/KWPtz1XBZhCz1ESUngXKQ/1kESiBgDXO+wt1b6OUZVt+dtQE1C1VG9C6NSHdwCa8u3tFCRETPrgmeoJCyQud4ZpBxF9Cu1l66YfpWau4e0BpXHDIngbJGoA6FMiyNNvDcGrlTOSr9SV5PhehExCpL52QdE39BWCdBGA03jcWgC2W3IULJogt/1oqkds7WJvrdM+vpq7ctlIo3Kq40clx33RHpfe3XqPRxoR1lDZezTH0DVnP7Mzyx4ykLh4tLCR1Zi9lp/uFpI/u6BuiG6VtpV2uveYEE8Mte4bo/VQVcuHvJBK6W2HCZ3cHkKlACAcAACzN+mD6hc55/rNSZ3ngTDT/4vBfxvR5UynuIoQT6zl1L6LbZ2+m/H1/DFUbJRr/EzMc/KfnTcxuobb8f5DhKFCkC8blgtRN0E2hNjEQcFs09JJS/ac7H/X2Fy3UuL7iaxeLjWSlpLnBF6urWhm7FyIw8OvFOmu09vagScd3YJ9wmlO7AUJTFZVyYO/GgWwETVx/mbGmii1+spMHQyfrtTd00a3O6rjPjyocrTzQUL08QqqXj+vzFcfGEyVt6/Pzq8dV02+zt9J27lgS+lzFi03lK22+AN0mxP3N5TMrKnpXrcxheirgTyAmgBAL2CHVmuvrgvB9zT5tHltTS755ZV9Jpj8E8CVSM/90WuuqG6ZNOTCUTZ5RjkwTZk0Ayz4q79pn4zKpWezr6iYhoaXULX3iapxCPLqvjcl2Wlc2IMTzDykBTuNSHyOLyiaSovt00OSjWVOFts6nch2A+ikSyuiBOKkfX+2aV+qVvs8XtPNKBSj3If+6U4tpGnu7uKS59P3pwBT24uJYeXbaz5LdzHlqpWRL3yYo3irTGsLSyI6NDsnWWVo+6th1b+45he47jd9slcidQNlrfBFk5mJKRbm2UmMobPgl0wXMb6b6FNaYlAiGgBAJOojLu2R4048hUB76fP79QSU+trKc5W5uYv7OSlJUJ+ASOVRov8E/pzwpKF1l0lij3ZqZImJqr3PZ9itbcDhKXRzr7Tf3NP2v9iT1kNg5tXdJpa5jgretpzCVcUMrLkHbZseIruePFYIGlqZgRyVv9G80R32tKf1Y2W9Iic1PlHKKzDaV5Vxrr0b2hTWQ9iOVQyYawZheyv3x0NV392hYhGUyQ5l4D+gmQFv6xnlcJVBJGxuqr64Y3PLDy3Or1GDGVIGx4ODhSpMte3mRaIhACSiDgDEErdbvYjt9FugeGmd+zJvjZUwKVyht7QWvWkudDaIPJMd0YL1mwrrNdh2zHL0KWZI1iamUD/eD+5dbij8vCuP5at4VfDorSGnKuv8zkuOqiWYdYpvt5f/BOuFDTJIPN/jR7c0OzBNY9yBoudJxyD7wnL0py2D6heDbk4mThkZO3vw+LMjxSpG/fuZj+9NwGyZj1ERfbml3t9MqGvXTnvB3xYaAxBcjDJreftJamtk7Jq6CzrId5TwJFfY92CBjgTiA3gBIIWMOcexz1cE2NW7KbFp7nUd+gmxfXM93BOdq/m9w0Mj3XUQneC3zmD4nb8lxMHG5c10Gx6rlVy5sETFpo8uDPmt5BtlKZRV7WEfO27TMeh0xe2XMHl5OCTQmmpR/ruRTyNe0qw0qTq32tuoKM/b6ucrXZ7vLSl4cpFj3qHxKfo5syNnKzZejBny26uwCd9dOTDC8yTQbbzuIdLbSito0eXVYn9B5P+njE5p0Phu88UokTgDjaewfpxKtn0UUvbLQmg41+3N+mR3y+/UtOXseFwZyv8cuQ5/GrBJF8yUnGjLi6SVhmQAkEnMRVd3DKVtCSAfzsr6vo2AunUm1zj6IE8ohMAPzWntnY6CtN296O/pjNmPTRtWEvbS2pc3GssrnBc6+s426mbOFFfE4t/v2RztnaRO+/cBr/e5noQ+wROLEg8b6IVZZy2/K9n9cNYVPItIM8Z7Hj3W00CYUiW2ZpKfVV+uO8ngT65h2L6X1/nkrtvYNC78UqgRTksZnLppWzuquQ0XtkNcYTTrbOfEjLJSwrD+5bWCM0H+SCIzkuGBGYkmBwuEjN3QPjf+eh21UZ32Re/evSndTYOUAPLSm9Z0s3kVXRch0d8elcZdzB5aHeGUcgj0Tz034PxwZKIDeAEgg4g79zQ/cQZFplIxERPbZczEpLJ1FzkSydBBLhb6vr6Q9/Y7lGIOMVdGyTRUYJNXbCzv+ubNvinX+amuiJBGtHUaCwKNEoBXecjszI//y8mGWdI2Jzsa2xizr7h2yLUUJc2Wcpf/OGiX4rj3cCsTDuDs4Xgdg9Pa4uve2jq964UP/8rNvVTkTipz0dS0am8Yioqauf6lp6hd/TKUPgb8GKmla9NtlHiSo2w3dB6JinqoawrbFLWQabnHrLfDr3sTW2xTCGA/q7VLByEsj3ebjId/LOuQG5DBHb27HbgOAOzg2gBALWiOuDlte00p72PrlwGd9t3N1B25v4J3WwPC8latHAyitXNptLERv4nly5y5Ac4ujbPFGz+ndhgWY/guzjeen3cmN9/vCI4MaIhjjTYO2udjrlpvl00jVz0os0hEz7jLPKMllLTI0Ted0gcGlYVXZ5Jvo844Xw6WTdxR48YScwbjpwX5Js+LrvWwmT15NArmGzC1Tt11Xe/vgVs+gz182hth6xE1kTcau2XY/5mYh3XIoz1jDYdmQ9BHC8aMOLgGo/c8pN82llbatSGDzwbsZGpWak6NG8bfuooy9oeFS9L+g1JK1e1/bmchSOimUErScEJTfrMcpng1U7W2lXq5jRhA4wD3QDKIGANeLG5OumbaVPXj1bLtxQwB29Q/TV2xbSyTfOlwrPj23lhs34o04Cs0SyddSzZ2CYnllVL7wAFJ0gZk1JqFNepmIoKvxsZZMwWZvHuCKuqBWQSxPGzXs7aXplA/O3WZtHT2yGF+S2MLFholoSgYvQFcOSJav7Aaz8Shq7jJ3SdKBJZrUcZUnKc89zP090VRvbm3p72vvouTX1NDwStJQWcZtMZO6EpgPN0yARJ+R9GVbTwu86Oy13cC6FJYZgnY6RNK1mq2N8mrF/Pucy9y2sph/cv5z+/c4ltkUxjkqRyt3N5fpoagZ/P+pfq8kYkNoch3a19tILa3dz7UdZnc8avBMo6vkCEVU1dtGZdyyhk65N32hR1BAUmGGybQEAME1jV7/wOy5scLhGpDs4xneBMTfFvPzTcxvo+bV76F/efhg994tPcb8nWt5sRYg+2Cdw/J/lJzW8cpaUt+FJ3WROf8ORJ9JSqmcBS09N4aSGx/wY4NnV9XT4Gw+mT7/nLcbEGOF1MTCGQ/3xabcsICKiF375KTr+6MPsCsMgKqvisjBOCWTLbYwJegZG6O75O6jOguWbFjgzrFzmL2nu0ei+MN4UPGErK3IVAgj3NbLjoO06/rnr5tLgSJFaugfpP0961/j34gZF+UN18zTpbX/ZR88H0zNsiAtXtZ7eNW8H/ftHj6Y3vf5ARvgZqT0a1lfiUWYjb1SHsBfW7iEioq0J7utsG7DqIKtJSNuTgc5senX9Xqk4X1q3hz7xrjfTSe95q0ZpxBhTbvQNjtBZH3+7NTl0En+KW6zkN+zuUJRGHtwJ5AY4CQRyR3hRkNWJg03Yizj+xZYty/0X141OiNfUtRuNx3TqvNC/o5/5YmUVXVCBJC3W/vdLAxBXopW+MHmSvh29rCwAx0hrMzMpX7Y3ddN5T62j/3ffMqNyiJ4ESnsRFaZ/aISunbqFVte1jX/H8hlva6yJipY37Wm6gwveT5Zuht0yq4qufHULreYcH9KwBBWpM7yPppGvyi6fNIiY5t07WRhRuOtH3EaC4ZR6gvp/VxncfwJoQVVz4HvRk0CkcW6WF5KygSefRiTrme4y8LcnnpoRPs131Wtb6H+eXDv+myni273YaTUX6jGPDC6c81CdYgj3N2VKVrPJ9p1A9y6s4Xsn1N52t/fRDx9YIT9P1JjwpdUt+gLLGK7eTzniwiABoAQC9jC1wRIONmsbwq4S6Q6O9Z2jHXzk0VjRdbuF9GmLUlUJZFkEkRNpJhA9kRUZjgZZVPC8UuVgY6f4qUkZhO8Estyf3DlvB90+dwd96/bFVuIXSb2MwteWUZZIsTZ19tP/PrVu/AJ2W7R0D9D/PrWOVu00f19AGJlmYGr+o2xMICgXKz7TGzuubRzx5JgpkXXVotKTQHLh2B4/oxDNf9nNd1CKP7dEDNGMuoMTNZBifDd/2779vyUHxhufa30bL7zjRhotx/S09NppW31xsSPjLce0ehKj1YozEQ8sqqEbZ2wzKYkQPHniVHM0VFlcVUiUI7b7f2FvIMAIUAIBJ/A8LxXrId7NxKinynlJFqW0Y2Wpf1PRpTxLGve2NHSmIocMovkYOEUkYX1f6g1u9D2X7meJIk5EncrncDRpTXJnb2mkHz+4gpp8SpsnltfRzx5ZRQPDI5HvpecyL/530aPgtmtcVVN3yXdJMj2ydKcZYRiouIckIiqKlIel9v9/z6ynv62upzOmLLIS/xh/fG4D/W11PZ15h7s++NMoIhe8OYT7cpMLW52KaHP3NLlv8uS6fKqU6z0SflRzQEcOpnnPXWS4oYBV64bJfl3n3DUsprDC34QQGWPj7g6asSn5TqJy6m+Cp+pG010senTek2vp7vk7xn+75KVNdOusKqpt5r8XzCRpV0Vj84uU3uHl1Q176ZwHV1B7b/wd0KIy/OD+5c7uBeWlueNOIDeAEghYw+XOzNV9bptyRRdXqVBZ9fd59j18brBspE7fXTR8zxU9osHhUmsNFy8aF3KppOrGSDJenfz4wZU0e0sTXfxS5fh3f3h2A02tbKAnV+yKfM+L+StNRI+CO9kfJ8j05+c3aotKZKgMbrjwZZyoez4VxKUbZQdDEWeDjbvtLQ5ZfRerbrjYXFRhbSSmOYV0IU/1KaKiw+GJQkUKXUYkri4fxE+Vm5HDJqpJSno/SqngyQ4u6q9Fh+cLUPeaV+89ZXKBsd6K66dU84BXWZWGOtzkHkZH3xCfDOZEyASLdjTTs2t205Wvbin5rXcw2iAuK9hQ8sm0HRvmJ794dDXN2tJE10/fmvywAPO27aP/d69Zl+iyxLvyZeBoBwF3cG4AJRBwAp39QYk7OPQ1QgxHONOOdMPFyF9b7ptkYx1LWktPvEVJbNyeR57nReafWFjBf4kUFT++t0XCeXn9Hr7wNfi8UN44sOKiTz5OHeI2dg6UfNfJuXgksjNxJ8reSSD2RrsdxYkJ4jZmwz/plCWLY3P3wLD0u6yxwcidQH6DAWNWofYLr8LwCsa/4ZiVupq05o+an6SVvhJ3cJLhuFocond0BPUWobxxNZGW4VGsiEwxdO6TqZbZSNGLlF1ndRBLszsnmOLGHX9d0BJnQhgycZT2v/weNlhEuWmXDc9lWGnoGci+oicOuZZnYy0s9r1Omrvk920iw+zWF6aOPaG8kVVD8bwBJRBwAo/0bSrEWQop+7HPeb91xSub6P0XTaOdLaXHqPuGRtibWIxwspZNovJG1YNfPLqaPnbFTOrs59+IV40zzFjtj56U8ad2wHcSiKWYkoXbrzdvmkvuATOHDmVTR98Ql5C81oC8yNwXoxNZlyO27wTKFJEbSNF5mKaLx2BU2SvXHkkl0PTKBnrPBa/Rc2vqpePmLaY0cjXtJsm8E8hVM0dDJJ+QiH9m4+4OOvbCqTRzc5NGqcRgnS7OE8J3AjneBfYNjsS6mGXBmwc9A8PMNUXa7uDM4Qmva+dt20ePL6+LCi4TqBt0qcvgRvkHeXrlLjrmz1Np9pZkN28lCuGI50SVzlnGnwdpJLscsnZwuEh9oRNTOhU6ARd+ZZCfYVbtbKX3/Xkq3bugOvIZG9mSdll4nhfYF4MOyA2gBALW8PdBJjf55IJ2s4cyLdU9C2pocLhI6+s7Sn4797E1dMrN80tlYgjl1/K7NBc3PfC9trGB2nqHaOrGBgOhy+eprhNFo+/bLVDmqQxLIslEu2RHCx1/yXT6w7PrY5+76tXNdPwl02Prkmi/abvsdLoc4cdMo0+zzom5g/N95pQxziqrHBducbBc5+1p76P+ofiN0p8+soo8j+g3T66TjtuhoVQZHe0n1bqZkjW7SS59eRMNJfhij/pV1xz909fMMRKuK4ieTourC7azZmB4hI69cCp97PKZ2supo3eIPnDRNPrSTYw1RcK7kXXU94utO4HSPM3lwqlcV9svj1TKrukE3//tM+tppOjRfz60MjEMWQO4SNwsptRwtJpa55NXz6ZjL5xaogjSRVS+Dw4XaVdrr544Eiq3zbL/7dPrabjo0eWvbI58RkQ80T7HleXbfz60ko67eLqzdy2VK1ACgVRYU9eWOFnU1lG70uvlkOp9pSeEWAMwtPxqsPJUV/tQvT+H6f4v6n1LKw+jSuXIP/gmaLfM2kZEowrDOO6aP2o5dPkrm/hk4SBeGagvz7SXu+X+hNcvt6n6nrgpphhtXH9tdBPLUNhpTgG2NXbRJ6+eTV+4fq7xuHj7tTQWvS5aWusm4F7IdifEgecl1H1tcwj38yJN/PmRp9NpY5t0nf3yLjCjWFLdQkRENYYub3dFqRE4vaAcVrJstS09VN+mZ3NVFpMuZGVlcCkOnvkk7/hq484YPx29Q7TBZzSaJE7/0Ait2tlGRYlNAtG2mdb9UzqIKkfTxdvcPepSfFtj1/h3cid+2ETV42/ftYROunYOLdnRIh5ZOO4Eea3OVlK8B87ladmsLaOnz//v6XXjVycA+0AJBLQzf9u+Eg3/N29fTC+ui75fJKo7mLdtn3D84T5X6pK7qOOwwiHpxcXlJSuvZCZ4NtGRrzoupWWGJRlk5OW5CsJ19A3R9E2lyguVk0kTX5Z+JTIBzuucwuikL+U8k11Uubjh7J5Eo0Qq+mIEFumvlV2qSlpri8WhRrHo0azNjeML5DimV472h3s6+hVj1YmrtVMeVorCrnDytAEvi2zJj2Vl2ovzPNTUQJYJVsE4F622FY+2ht2kLORxVyQytqza2cb9rAieF2pPiju6PEmaubmp5LQdCzHlQdp9QtykNz05TA0nhYjPfniTyX8QyEzGffb6OfS1vyzkfv4/H1pJZ96xmO6JcY8VBSsFpXdAs9NpU1emMqbKzGlkouPLH317aet2tRMR0dOrdgmHWRKHcgjmcHlGarxNMCLYuLsz0QAWpAeUQEAri3c00/fvX04nXVs6CX1uze7A3zyXOP7g/uW0aHuzNvlsDxbqG2juwVQC+S+mdkjqrG0S+fNO24Jc1kKSiL5/3zKmOyNjJyAUZI1C1XJOp2u9tAnoKTMkfJZktYFq+xuJyeDtTd30t1Xy99hkkSdW7KJzHlpJDyyqtS1KIkn92VjRrq9vp1c37NUWrwttMs2NHRfSm2zx6oCQKeGSJal/vit8J5BeUYyhO7vj2m7iyVeOeyZ47Rr2tPfR+c9u4HuYA5OnYFysK0yZwnngUFvVicnxJ5xnUVlo+06g9l6xe0sX7t/PeWTpTqV4tRgeZgELxZu1PitxXsRR+Darh8kijuoeClQw3yYiIrjg+Y2RBv7ztu2jxRr3fEE8k20LAPLFytpoi6rSSXmwd4rqj1bUttKn3v0WbhlsH48Gbi5Wsk5wgyc6hycsen1PSyouws+uY9wVJYPK5EO1ecssSP3Kw6BizrKlrvALYm8MjRTp3gU1dNJ73kIf/IdDRWPThu3NTZfuoUpCJq/i7gR6cHGtgjTxuOoOjufi5vG4Upxv8OYX67mv/2URERG9/KtPa2nLabdJVl+bplGH1o0Rg1lnKkdkRU7NDbRF/N2n8KZsTAbkIW9swXsSqLYl6I5O9wZo4CCQxrCJ7M8/ZeDpszOYLCF4ugjePOC9g8y1PJWZNrmUhooC3N77iSqbdLw4uFsQutcHedjebO0ZjDSw+8H9y4mIqOqK0+iASTinYhrkMNBKXP8UN2HVuaFQ4g5OImhTQ8r63R10yUuV1NkvZj0zhkuToDFYZRe3qVgOqNZn1ts27gTKEllOl3S/qZBoj6OWPrxkJ10zdQt99TZ+dw+jckmLpT08U5Nmk/d2qXDJi5uotWeQiPiVv2m62+OV6fk1u2nKnO3G5WHhqiEJ77gS95SuOzhUh3gdG5gVqZ4EcqBxG2QseTypzHlWCMNzMiX6XfbnciYxCzkyylYdNXuHnq0aEl0ibNfVOanJxoxU9CnCsubdQoWAAd7+z7z7PSL9cv/QCF3+8iZaUdsa+YyIsj/t+aSyx5mIAKT20iRlEXJWmXhC2h486fDLd/GLlePrN+azY/M0zjsD4voHR5c5REQ0OFy0LUJZACUQ0ErsEf+Ynljn3FZHxxY9CKoJunlvJz2wqJauenWLUjguwRyLHN0lcHnQS0IlS2+ZVUW3zKwaDUdyShSvjJAKMhiGsuLMf0JHVZqYeCRPVcWGqSkclXhYebZ5b6cxWURwsTepb+ujcx9bPe7b2ib+spta2UB/FHRvUxSYb+vc4Ilrp79+ci1dN20rbdwtfvpQVUJXlQtyBi0uth5xWKlwdTzP4wa0LInuCnNQP/35bts9k05kS0b5tLba60Tk0D2CGsVwJEXCBBWdOucPdnNEOnpf+4h2Z8gXOG9b84c2UvTo/GfX0zMW3fymrbwSKas75+2gexfW0Oz9l9mzEOnn1e4EyjZptFGX+0XRsfDBxbX05+c3Jj6nmq1Rct0+dzvdMH2rWuBJkXDgzPidc6AEAqkRbtS8F/rp7AtsTxrHqGrsknovK+tLv5WwI1meTQIKB7GM9D89c3Mj3TRzG3X0DTlRHiZPOhERff/+5fTcGvYCR6dVlsxERdiXtWBYcemLchGYFrJZ70KdDXPH3B308vq9dMaURbZFKaFy76jihLfPiLsTSDeiMXX0yZ2aVcHVjVzevIs1uNEiiRttMlVXfKnFBLKG0p1AKbRVHYjIwtM3qLTcqOD98cpuIuldb6qdEkt6T7esLoYlgnj2ujnOE5XW8ai5nMwY+MqGvfT48l30f0+X3u+qjlqezt3aRN+7Zyntau0t/ZFj/aKj6lXv4zgtrbnqRAUn5TaP98R41J6beJSRcSb1BTqUgYn7ehYHUp70hZ/Y3GDH+HJgeISunbqVbpu9nRo6+qXCaOkeoP+4bxm9vH6P0kBQ5s6EUgNKIKCVuAlJWppdd6d16riw8RKGJVPWtPi695JMJF/HBv7wSFH7Yl4Gz/NoYHiEvn3nYuF3o/oYv6yb93bSb55kL3BcUQT7ka1+wopBBywn5WSwa0knr7xKJ7/DsYic7Bl93k69MHUKQLXMXVUCsWDfV5XGqUjFk5uiynCmq4v0EJE3qfq4NwJNoN+VZ3yAsvG5lIf+7vPmWVVC75o+YZ1FRNp11CabK5tIeVCuxMIhk1/u+xfW0FdvW0BtMS6PuKMOxZ129kgr9QKfk9czccicWtaR96pE5d0PH1hBi3e00P8+Vbp+UynfDE3pUiON/iSNvSAXu8UxZOpd3Ppj/M5nA/H7r3EYGpFzx3b1a1toQVUznfvYGqn3x7C1Ji03oAQCqRFu0/6+Sa87uGCv59KdQGmFL8rA8Ij0hiVrIw/9tyJKDSLB/Yp0Ocv9FsVrGxpoRW2bUhiqMqgSzkp5ZY6e+EXfTXtToW9ohD56+Uzh95zc/ODA1t1orIVXXB6KLNTS3tSysXZ3dcNAJu+HQ3VQV9JEFY1hbpixjV7dsFcpDGfvbpIop4HhEf2CCJCouBJMk+30pIm//1xeE32PBAt/tto20giTJI5KGceeWE54lyefXMlLvxSyVu/2ezlBY6OY31bXtdPG3Z1057wdKUhiFun7TrgKlC9wXoOVsfZQLHrSG7w6SZK6uXtAKtw0PMoQpesy2BRRfZPIKavxMcDgyawkkg8CudRrJCNbt1TT6V8qyE6t4+4zEiFN7xTlDJRAIDViLd5S6qZ54zDd/+hUuKjS3jtIH7poOv3ggRVS7zNPAjmqBcrKvI2Ve8JVhvFCoVAQCke1vcRNJgcdWIjIkHy8Pd34hMLSF5R0PC0Sk0Q3e5NkVCayKvvbY8on3uhT7a41VuiB4RHq6NXvLi7Nk0BCJzN53Xz4Pn/2ujlGlJE65iK/eHR15G/7upI3gVK9u8lgL7R4RzMdc8FU5XBUjQJ0cdOMbXTMBVNpeU0rc7O/RXKDz1U8halMVvY6wmuW6ZUNdMwFU+nBRTUlz+ruPpu7B4KnGyOe03IvpGJ5hC+vd0UZ5RpDI3En4MTHOaLsrO/8G+7RdwLxhiXGmXcupstf2Sz4lgVCCevqH6L+oQmlM0/2SJ/g5wk7pdpmMh7Vvmnj7g465oKpdNnLmyKfCbhKzUoDtUxcmY9lp2rZsWLwl5XsGihgUKhyJ5Cje4h5A0ogkBqxvq91ngQKh53ZLcR0eG1jAw2OFGn+tn1S77Nyt8ixYMszutIcsBIl9TwVnTiYWsB6HmmvGLyy6rQeZyrrJMKJkyiu/1JxqZSlftH2RopsjVE5LSESZzh7RF0wCCkitJ4EUgvss9fOpeMvna7N+mwMV608ZbKrvXdIe/7EUdfSS90Dw8rhfOyKmXSr37UWI+3hrtyoW1eBvE8+VRMM7ILnki8CTg0N7fuW/eV2yUuVzN8/cvlMWrKjRT0iQUydHFNxeRP3psoY3Tc0QtX7usf/busZpL0dfdLhhfnV42uIiOjil6I3AGXxl9JL6/bQRy+fSRe9OFGXeLLbFZfUAWt76TuB0h2QSsfluFNbpfkcfp/1zAGT9Kcp7RI3WSy81Ze3bowFt6auXUoe3STJ7f+1d3CYPnTxdPrsdXMTw3Gj1etD6k4gzkyIM8vm4YbpW4mI6L6FNVz3tIkg0ue5XOYyfbfOfkVoHelbr8rKENDd4E4g54ESCGglruMIT8p5O8ei59GSHS0lGwtNXf20uq6NIQRXsFZxqX9TzS7WRp6tDtzmus/86TGz4aeL3sSI6JRUN54DC1rLZaIzeperl8uy+QnLaetI+/hJIN93rij9JPfVmTR0jl5euqJWzAVTEiwrONuKyEgYA3iswY2maFlxbG/qps9cN4dOuELc5SOLG2dsi/09LWtcIrOKUkdrViT891UUItvNPQuqhcLSgak2rEvhUBKKQrDXTt1KX7hhHi2rHlW2/ctlM+jEq2ZTe++EQri9d5CW17Q617f5pblm6hYiInp4yc7k93wv2nLF6lhWRhK3/E4jDZM0WFooW8MrimDSHVzJfC0irnI4XVHV2F3ynck+iydskerrapcg7MEj9D3PHl4qdwI53OnKNE/ZO4FEsmFdfQe1dAeNw/x9TkWhQA0d/bRuVzt/oBFyyQB3cOkAJRBIjbg5uUfRHdiDi2vpu/cspe/evTTw/cevmEXfun0xrWEpgvxhS/Qlpv3KutS/KU+EWd+5lEAfrt4hEIaVffw5WroBPIaKO7j499TLm/skT+T78e8NDhfp5fV7pNyRiZCmOzjhk12hcJMUA660lqxaBY3EuDxJItBXJZRzuByzkl+6holJmvt1kXEizSGF301OCgtvxncLqkZPE/cM6r8PhpkmVzooS2xv6qa5WydOcOsod511x+SJOpemmCr9rem58svrg/duVTf3jH/+0k3z6d/vWkKvbWxIDEe3lLqqxqLtzczvZbNVZ/33PLfqaRw6jTN43p8c0zlwG3SF/s7TcMDbp/D2sWnVQ975UNJj/jmYyBwrKp1CYXA8o3svISo4o6fNfCmViSd4r7fZPTMVbMogla86TwLFBBZ2Cxm+E+gTV82iM6Ysoq0NXdzx6ZrPwB1cOkAJBLQS78syulHH/dbVP3oCaMPuDubvy0IXsfL407SN53n02LI62ry3U0t4NnUbzDuB/O7gDGX64HCRHl5SSzW+Ra0sui2KXalnLExsEKq4JdMBT+ndMXcHnfvYGlpQxd404CXJpZrDRe+scjYJ1+Wub+tlfq9izaSygZqrCTRHPoStilXHQ5H3VccOXVW7pXuAHlhUQ20puX5jWXim3UxN392k5Y4Rg5x84zx6cHEt9/NqY7/4uzwbZa6cUFTB9fHJj79Exu7dmlaZrARKE7+MrCrkz+1LI+6jsFWvwrHq6ENkDZ/SgEsGxjOTJ2V/+0navR9HGLx9Spr3F2olQexAHjEezsKaU+bZNIk88cP5Pt+JNvO40A9GwZNHIm6NJ+4Ekpcpiqg7gdbuije0jwpDZSFm6yRvuZH9URhYZd2udrp55rbxC/tiO6/Q34Xwb5JtPrxZpmNOZLr7WVffQX98bgOddssCofdMdPzqCpBSoUZ8vkUfXVanGD6bu+fvoAtfqKTPXz/XSPguEFA4eGKLSdGj3uyHBZ5VDFZ9e6o0BP9dGFMNbHSkMfnM4lQoS5tiPCRtZp5+60Lm9yoT2UC/nBB/OLvHlE+ifQYPylbCASWqHipCkwDVtLIUcC5U6TgZ/uuRVXTJS5vol4+tzmankYDt/Nd9QsAEtvMoTEUhuu+0MUYk9eNLq1toypztwkp0tZNAMb/JBztO6QYT/4ZquM6PFD36y+wqWlbdYthCPeH3KKtz32cX9pA8jyITM62ygR5eUpumOAH884vb526nxTsmjKOUXSZzvD5Zw51Atvu7NO47SQ6L7znXlO3JJ4FSEUOelNzByezPmCrp0jrE4Q4uoSPWs18XH8drGxto0x49BtdpYEuxG6UEun76NtrVyjZ0DKOrT4Y7uHSAEggoccaURXTzzCq6d79/7zhK7wTSI0NShynVlXAuilhs3N1B5z+7YdzKzibbm7rp/GfXx3fgBsYbf1nfMXdH4IJaXayo5bdOSAPTk2ze0JPGTjEdkMf87CKsdP/f0+t8v+uR34v4TDTap6U5fVP1t6zy+t3zd9ADi2qU4udFRc405tMdfUPM75XKJ+hrQehVVy7FTkJXm9TtDs5V69q43Fq5c3Q8XLyjJfY5bSnzRTI+5+m2O+exUWpNXf10/rMbaGPESfWswWVgwjkXiLsTSCQ+k2ze20nnP7ueGjr66ay7l9J107bSS+v3CIWh0t+mfdpM9oSp5xE9t2Y3XT99G30n5Jo7jOm7uniyibdMwrLqLoOo4P7rkVV04QuVtK0x2dWO6eHo2qlb6YFFteN/666GrPAOqIjefop3gawuj22STrkQlaYzKtkiCqWsnhAXc+XGTqPuNpTWXENGbt42omooKuCxevR5Q7nGE/dXbo03uDbVr/CkWeSupYk7gUoFZiVBJMej8mBf1wD9+11LxMNQyFScBEqHybYFAPlgy36fkXEdTrEY/ZvaJl/IFUzMs2lsZH/1tlGr8Mb9l1anQVSav3X7IursH6bVO9tp2m8+YyRu5v01oS/betmbpCo4uk9HROr1jLVxomOSUogIWxWZo/nSeRTlPoHx3YoavRfGl8SZsRVp8GRZ9G9JNHcP0JWvjl7Y/N2Pv50OPmCSBumi0d1ve55HFzy/kf7p719PP/nMu7SG7UftJJA8cWMtE4HCj6vz87bto8eX1dHl3/wgveUNByW+r+0kkO4FPstaXm8U2hBdWOtKhz+csTmPbvz3RtjI/7j+cozfP7Oe5mzdR48vr6Paq09PR7AIXKujccpUO+VZGuvYafwdTRNuhWub+axex+BVODy+vI5W1LTStf92XKrusPzpZvUXvHPpmmY+Yy6e8TouTp5Ncma8vnTyDr3a14Qx8ypWXM3dA/TeI96oV4YUYeUeT56GXbjKxa1WdqoSaFmDRoTBr8TkxHPLuj5JecXb7nnTr9sDRlbuF47iqtc2K+8p8ORAGgZpS6pb6KcPr6RLzvgAve3Q1xmPTwTVu5bSJK6o9nbw7WfqKm8ogdIBSiCglbgOL7ZzUNgUTnIHZ2ujVuQyNVN07r9PaWuMtZnogON5XuIEqLT/ji6D3sFh+snDK+nkY4+gH33qnYLSiJGVeRs7t/wWo9H56Y3/y7YUEZoLG2o6TNkMxGVCfBOb2PHxyf3GfF6TxL0DExe/pzHJ1x3Fml3t424qXVUCBTZJBDsu1mI/jbr6g/uXExHRgZMr6Nbv/kvyCwpC+a1aw+7gVPt5nv1ZXWOJSJuUtfA0YfySRrtPUi6nObeLimlbo/5Tzi4ik9Vcvu3lxNHOJt/9nKLthTdvzn92AxERffaYt9IZH/6HxHe1nV72BaNyybrO5sbrOly6n3Vgw9vb/58qkadFDLUe3qy79KVNVNUkt849QIM7ONtIVzGeu1Q4wxY5tZyljVXZdq+j2asqsV2nsbOf7poX7b0nKv2lJ1aS4zLRDf/4wRX0L0cfFohj+qZGGhgu0kM//rj+CBXgqSbhfIzTj4/Pmwzkq445fSAE3AnkPHAHB6zhn9iqTGbD3YyOI6fofqLhPabOy1+X7qRF21vokpfYF7yGGSl6dPa9S2nu1n2KMZtDZixlHdU34SpEJJzg0d6Y51JsMbzuE4iCkxoH9gQkSVb4yYUq/3aU7+CJsPWi5lWtVL6+wRHGk6Ms3tFMn71uDi3a3hz5TBRhOVUm1ZMVLGVZE+jPXz+X/raqXjpMERo4T8FyLbapQGt3tdPu9r7A98O+NOqwKh6jel83/XVp8j12NvYAXHfJqZuDJk8sUWwY8wSGv+wOIELIpHJopEjfun0R/fn5jYHvCzF3AiXxwtrd9Lnr5qRmTKUyVxDt58eMs4jSWWv45WMVh04XgKnAIQrvJlKJOzgZeTjJShfCW9b3L6qhBVWMeRKH8nBSnDs4zvjTzs+LX6ykM/6ycPwOZFkKEZ/98CZNZOrjUv0TGRVk+yx/23bdHZxpF5p+BodFXQWwCe7hsTFhLDR7SxPdMGNbyfd7QmuErDK2pr5pxjY69eb51NWv4ElHoFppUQJpKu8oWbLq0tJVoAQCWokbyExZjoatgHtDEzSdsbo0ifKjcjRZ9N1wFjDdwQnkerdvQczDytpWWrS9ReidJGxb9Ty6bCcdf8n02Gd0VL2CtpDUMHPqpzRQE31OcGNQf5hC7wkKoEuBm/adM7rji2vv37tnGe1s6aWz71028bxkPCrWTAdO5p+eRV6U7ft6cLhI/+u7I8sosQpj32fO7DnnwRUl3yUpImUZs9YPE5XHaY4d3CeBQgWgusFgyj1pEgcltAH7I5ke9J34SCdH/NH0Dg7Tgqp9tLqunR5ZujPwXNydQGPfRv3+P0+spdqWXvrNk2s1SDxK3FzX31eL5qJwNx+pcAoGpKM0ewdHAvKZ2GwcHgluKqrGkfR2pKW677Mre0VamqSBMUZ13FLta1SMXGzx4OJaWlffQa+s36sUDs+aOzznjcpu3vW7R265g0sb3UlPyx2cTDwyCnvR+31435Hth2Vy1/Y+zhjFojdhaCgh1Ngrt8yqoi0NXYF5VfzparVKHnR/LBdW0HBYXh7W2nndrnb68KXT6a+heSaQB0ogoAWegSruKKnnyfcX4ZhfWhd9qWsZz4EikXEHl/wMf3iik4T6NnlrD5OTBJW69afnNlLXgM86lBEWr5VL0nFhoZNAihZ5kd8LyiGLi+1dYb9Ia9wq4aa9waI7OuFNKsl+Q0V5dYDPJ9mI8CU/2YA3e3oZJ7f8i4SKAlFrz2DsCS9eRK1801x38tamcPs0YcU/FuKG+g7tYY8hogglcnd8zyv3Layh9184jf62ajfz97gTerybDAPD7PaouzhUNi9U+nnTJ2yeWVVPV7wyccreRBv5zLVztIbnzxGWuDzZnVQm/UMj1Nw9ICQXD+HT+2EpOvuHqFPFsjsFuE6GcRp6jP5d+vDkDLuD22eg3pQgsRGfhEsulpLk9u8psebrY3XKRH/Gd8oI8LmDm8jMqOe7B4apvXdQk1SjDI3YWzOdeediOvbCqdTaMyipzAq+NTJixwhLBl0Gm6xw/ueJNdTZP0wXhE6cA3lwJxDQAs+CLq5z8Eh+UE1SQMn0SeXi+kOGkg0mxfsnRAeNLBz5NVF7/ueJtUREdMaH/0HRDZjAsxlqBuwTaeqMFD3auHtio1MkT4ZGirR5byd94KhDpV1WxUVnUqEUe+9U2hVDILrtTV30ljccFPtMWkaoKusQvxJoaNhsfpds2qiWL2f+8m6AsoZ4v1VrR98Q/etlM+jvDpxEmy49lS9yRXRZggpltUMd8ti4/Zc5VcbimOxrA8yUG86OrM0DdUjLSnNn/xDz7qPLXh5VLryyQd4y3pUcDriDE3zX9Xry0JIJy1nZU5NxSdzDeWm0HxMnkoKWzPHPfvLq2dTaM0g3f+fDoTD0WVOHwxseKdJxF8ef+FeJK02SovY8jzbt7aR3veUNzN8nx1y8x33itcSwtJBKprT1DO6PT+59rs1z3rkRZzvyvHRcKelq1bqvAtPuDi6jbvh4iBJXai+N45kPXjSNiIgqL/kyvf6gydTZP0RVTWp3LX7z9kVK76uwpq6diEbd1snUu7h7zkXLQCR6HQqcQBejdCeQsiiAA5wEAlrhveyz5DeFzkenK5gkdG2i6kYmB3bs66b19e3C/TTP5FQk6aJH1PsjLEPLgb/M3q4chmy11KuM0Ns2Ik8S+jcFJLebrp22ha54dTPXs+GN4T8+u4G+/pdFdMP0rbHvjcm+blc7Ve8TmPwqZOPoaSy/1Sp/YOmfBOKLcHtTF51843z6l8tmxD7Hu4E/Z2uTkj9mFctL/8XJQwkngVhFN2dLU6QVvXHirIQ11R2/ddzYaRTWiSFdiIjd2jNI87bto2LRo0Xbm6mJ844kGdj+8lNooN5YXOajyhuqedY9MExztjTpEYaDT101m/74HNtNYhxpzs1VUbsTSD7eOMWFibbF7C9kwjFoCy8dssB8r3X/Rv7Sar2upcP4y7BL0PW1SVTvZIk16vSIXtvYQKffupC+dcdi5jMHaLLE6ewfojlbm2hopCg87sl2T2N1R0f7jJqL8oYtko0uuYMT6T9k7wSSfZ7vWbb8G3d3UFWj2j12230KEBO9LCs/Zfpznnu9k/LSH2tNcw8RyZ8s9cuzcXenVBg68TxP7iQQx1smThDrWNfrkmo4p94vXAMngUBqJA0Gsp1H8kROPGR3pkrm+OIN84iI6I9feZ/QeyULVfZTse/w/sYiSxsLsoxliZzljRcII+p3ETlcIqr4k+4Ekl3/3DWvOhwRN0+vqiciotvn7qDfnRrfzho6+umMKaPWS7VXn84VvrDyTaTsvei8TrIY0r3W5A1vSXUr1/P+hbPneZEL8R89sII++o430dv//u/4BAihyx2czEWuP3pwBR18gNt2PlxuNxhF89yaevrnt05YGIfvBUyDuBi/eusC2tPRT1983+E0a0uTtvsPeGuT7n5bxPWPKWzsX/mjdGj/jH7y0Epawti8Tpxjc6SB9YjfVW3UMyx4Tr+KnN4wiX8DRHSDxdQdeSZCFemJ+Ob6Y89Gj6OiRMWztLqFPvGuv+d0B8cXl+7lhE5jqTHSHt1U3e155NHf9s99N+/tZIanY8z2yKP/uHcZravvoF+f/B7l8HhRVabwpJzXpSvvetgjj1zaVzW1jDftXnMMVvXt6B2ir962kIiCazjRtJ584zzpd4lIeeDgVqZyyCY6Nnb1D1F7rw13me5M8CpCy7aAa0RBQ3uRMVnlNPScrU30pr87MFh3FPpJl/qqPOP2DgHIFUnu4GQxsf9jazHaPzRC98yvDliCmGa3wh07UYjkn+gRdZXiNmm9mAY8yqGHFu+ktbvamb+JektwaeMrjmjFkHtE1cDalh7m9zrdsgXnZ/K54z/honpJLg/ckjLSxLR6832Z1P2s3Nkm3W/o8sGepASKiqV/SP9Mmm8jmW+s582dcO7/5sl19PW/pOvuQaS5jLlHmrX/tMawpnrgUn88bmxgUKiksNPa8Ek7riRYCiAXyepsS/gkkEI3q9J+Xlq3h2ZtbhR6x9jmq6Hm4R+rz7p7KfUPjURbnfu+lx17TSrQtRvHSLzz4ro9NHtLfJ0J5y/T1XKShX/SnS+x8cf9Fvx13f5TwH9bXa9NCcmM15fgMaMOeXdw/vtuIuJTcJUbhUsngZLwp0v29KJJe1FW2A0RJ75d854t207CdZInFNG0//bp9WIvCHDXvB1Knh1kkMlrrpNAgvnK1e9L1tNdrb30owdW0DemLNLn6SFDfVWWgRIIaCWuw0s6Pi5Lnk6GTJmzna54dXPAEsRP1IIxzSwIl6PMAiEYnqAABhKrI0idQ1ZUOfNsGDy+vI6+MSV6g1SsrfGdpDF5NJ83PFaYSZYtu9v76IpXNtFugXumXNoMZEny4OJaemEt+6Ju1bDHf/P9+L9Prxv3kW4K3RvNfsMBnVbc4bqhayKb9iWn8Sc/NOZXRFDiyk132mTaMIeuFLIjbUs92/2uzrsGbKclLeLWA+P5KZkVRpWPgs+rjCGyrzZ19tOvHl9D5zy0Uug9Vpls2dtJV726mTr6+DfI+oaCrjf9yeBqE75nuvqH6KrXNo/fvVhgP0ZEo4ZyUegyctGFAyIEaOzsp/9+fA39+MH4OsNl6JG4HvC7imI8kxyFkgx+Hlm6M/mhBPyGHJP2m+r7479m6hZaUdvKFZbOzXPeTWbP02eUlAYBJZCkOYFs+zM5Pj+0uJaeX8O/PnN5d8tf96LyWnRsnFrZoCJSLFe9toUuerEy4lczOc03FAafij3tI1E1+ft9uXpf7zMk19V20ri/DEAJBDQT1+HFbRp45El3QEmTIJ0TcdOutFbtbJN4S+2Ei6ilgowleNwr/knC7vY+Ou/JteOLQRYuT4p0cfkrm2lPex+d99Ra6TAiN1gNTHDDYT69chdd+tImLS7pVEjaFPj+fcvongU19IP7l6ciTxQeRfsO5lXGjLGva4D+54m1HHHGt+Wu/iF6amV9xLvBF7sHzPq6560tvM/5DQdcXRj7yybxJJBjSeAfj0oF7x0M1qUCpT3G8zEmkos2KGn0rxMngdTCWRdxapVLhlDcui3BXWtXiWiQV2eaY+5+d5o0jVq8iM+j4UYH3CbpModlNFfV1E13za+my1/eFJJNYL0jkAnFokeX+Dbjrp26le6aVz3uSikupIqKQszc1i9P6e/dA8P026fX0fxt+3zfmu3A/Xko2y/r6tbaevUZ6yRt7ro0Lv75+Y3K9/KNBJRApb/fMXcHffvOJcLhRnox4GxPIvmcpfEsaQ45lj/h9MsYa7y6YS/98bkNQsZWScbHrPLb1dpLF71YSb9+ci1DQO6ojSDTXkVf0XUfnUj4YRZvT+8UtUd8MoXHhXDdUsm3QoG/35ddCvvlD+zzKgwCrq7L80ZGp+gATCDiDo53EpSmpeb3718eq/QwjWg/XbJQZeSVmMuxiYfPfWw1Pbtm9/hikIXK4iK1hYmG2fanr5lNS6v5LMtEMLIQCIX522fW0/2LamjR9mbtMkQqSyTC3LFv1AWbiPtF1fzTmf2i/VSsa7nQ39dN2xr5bNoTNN11toLDgs2PbL+htjk48fLQiNn81u+mJqae+U/nMR67c161sjwm3H6WusJI954fG4yVFa8RhwxnxJxaDQqjFI0yHo0qxv/zoRVaTlpmGe4Nypg2MnF3oZmCvfLVzdLvmr4TSIdRQ0C5IBB/XK9VuSf6Mu2kKJIUMH6mb2qg2pbe8b837+W/xJu312VNUW6dVUVPr6qn7/uMfng3kWVxaeOdf/2bTJJ7d5XRUaecY/QORp8g4yFwEqig6g4u+Rl+gya+5zxSm7df9vImuoqjT+XNExGDDR35HFenfvHoanpsWR09s/8eK641AeO7pHFD5KTleDwmPJ8wvvvZX1fRE8vriCjGgLTE6CY5LlP35WWB3z2zftxdJRH//DGcr/55FM8poSlztke+H4d0WfleC4ShUPYsLxom3X2WK5NtCwCyxTVTt9DG3R30wA8/RpMZ5jBxbTS2g/GIPEMTKteHoPnb9tHymhbactlptkXhomTBqZjB/s5+W0NX4vN5cv8XR9x8nWeTgvWM6MZlYDyXKOh2jZaHqohK78r9Uabc8CW9W9faG/lb8lpSb6+r27WLvwvJwiJlMG13cBbjkbHY5TFMyCoXv1hJ9W19dM/3P8L9ThpVeiyO/OR0PF//y0L60vuPoJmbm2jm5iY648P/QERuWby7Vu/DFxynRWf/EN09v1o+AMFstOEOLhyG7Xooko7m7uC8MFb20G8VhYK0kqK+LXpOo4uAkUOoRcqWddRcVOVOyPjNRJ71RTzBDXh9/ZJsUKrrxmHfHKxiv+aFJQvfvascdwKFl9kRYYqkS9Y9cUv3AN23sIaIiH71xffQGw5S3zpMklra8EruNSIa9aLAC2tDOil701pryLS3nS299IdnN9CrGxtoe2PyPgyRmTuB7GFGUL8Xh7vmVZfMH1lwnQSKydg4A844Au7zRQy5pWJLkIWxyeCCi9e8ASUQEOKOuTuIiGh+1T76wvuOKPk91h2cgBW6CBWFQmqdg9gJF/5nTVzgzYuwYkDTM2P4+3qe91Sm8ibXyVkYoEQ3iXRdaF4ih6d/4pCYNlGFScQLJnLExaoTf4dbugJzW06zFuUJ75hdmKWzOZjm5q/pop9UUbrJl1SGNtuPaWXxg4triYhovc+iMMxwykpCoomabTPvdcU9Uhx1x1lRYlY9EUFX/zA9u1rPCSDNdjRa0dmXvLqhgV7dwPbxP65ENJD4EcWTk6Jvq0yTgid6+N65cfpWunX29uQHBUk0qOM0TDKtkIq2VPeYn+MQ8SQhQ1ApZI8v3jCXrjnzOKl3mZuQce7deZRIWpSfwUBidYmK5cw6CSQL10kg7tOWfHieJ33Phv8EkWrfOkZSHsTdC0bE15aGR9Lrk4g4TktKZF2c2MMjRaYxdmKYMYEGXWUmheP3qMBOXNL6Ku35o01Dmfa+oPHD8EiRJlUUStYQ4THJ/6eo8ZVItZc+COR7T9d6Wtd9uiAeuIMDUgwOizfQ8PxD06lBKhSifUTLhu1q/xMpVoou0sKTf5ZMcVZMHSFf5knugcLYtnjkQUf1OXCyme5ZpG7P45wQRgUZdXy3XBQpIsgcdY7v97zSthbzFxF7sskibXe9usp2zB2D39KK54J72S5HzR1c/mEtHCdVqBt1+BdVuhSWJcGkPA5FKeSfXlVP773gtcB3utrLxEZ9tFVeWvVUNB7ech8pevSlm+bRGVMWZcKQIw4XToTwYjKrVYMWP2Eh+jz7c+mD7K/DCqA0am3S5pmK5XCcIl1oE8v3Wcf9BnLvx/8tg442vWNfz7i7qySS7iAk4rgTKDAGc0XrI/qFwAkj7rfU89CvCIm7D1BX98tbf0XWDdIbq4In5zv7h4xf7D484lHPwHBJ3+Hvi79y6wKas7Vp//d84Xb0DvEZo0oozHXmSFVjF73/wml07dQtGkMVg6fmiVQD1TkBT1uwOcXzK4+7B4bp41fOop88vJLxpFwvojp2ySpwAncC+YPAnUDOAyUQ0EpcJ5y0UBI7ZeObkJGApXhZbK2ZRdYVGRHRS+v20PGXTg9MXPybsDxhm/GRGx1mXUuv0IWRuoi1fuKpxoxnClRI+dSA/rhsuAkIhJO0+NVcPWXz8JKXNtHxl06n2VsafWHxvx83IUzbhZqOOnvTjG10/CXT6bk19QE3RVlwB5dEVpPAErvUFUJGdrUl4S27eFe7oTDlxRHGpuJER8x1rb1Uva+HNuzuKLl7K4vtKv60hqY4NIWjK6ywC8m066TaSaAyRLl82O/7g2VteKdudW44PtHgeU/2f/Lq2cF4BDe0TSqjo0+Bxb/HcpuWdIrXH6Q/71RPMXK50eINSyCfZTdWA3doJjxb1dRNx108nX780IrY5xLl9j3AevbLN8+nD1w0jTr74+/Z+dkjqxIimmDu1iY6/tLpNGNTY+KzMvVbZlyKiueaqVtpcKRIt+/3zmMFwRNtrPZWTnty/pPmszY3UmvPIM3c3FTyXMmdQIXSzybGFmnDiYBRix7BWH1V3teCNoASCGhBfUovFoK/g0hyByfTKdkalkwcJw5T29xDdS3yvrHjTvlMfMl+96IXK4mIAhMX/2LN9KJJZhD5zHVz6D/uW2ZAmnhMZYWOI7/qMnjU0s3vf5krTI4400B3NPGL7ehfx9xIXTt1wj+wiOuZ+JNA+hT6PPCGF5cft8yqIiKiC57bGFiMaFUCadyMT3MjMzz+qsbNezKX9dxkhju4pMWmzoUkt1JGW4xuxpeESXde43Ew4uN+l/N5f/vHGpNSm/zqbLMfv3IWNXPMJ/hdJ4nFb9uQQKS/FpFUzDBPIOAwAu3O44yLvx9Xb/Rx3gw8lU5sP2l3SwM6TgIlCh23Zk+MnvlcXJSqdwL53aDpbO2R3hJCiYuKkzddnsd36p2FP4akcq/e10NERHO38rsVS4ozrmRX1rYF/o6SjiebVte1Jz80LpG4QiPuV51tPKl+qvR5bT2DtIHhmjgqTpG2YmP+5XkerdrZRj0DI8bj4m2rpe7g5DOmUChw52vgTiCBkosc4hQmBeFXR4oe1TT3SIcH2EAJBFIkdGxXwhf2GH4lcUXBwLo1ytpIKIj0Foa8Q0Tf4Ah97vq59Jnr5gi/OwZPqkRSHhx4klGdzMuwtLpV6HlXLYjDF9VqC1fUHQoRXT99m1UZkoi8jFdrLBNhpm05Gf6tZPMiJkzZxaQsKkUbXmSH/87DqfM0k+DRqLuPqRsbqH9IbeHEknuSxCUNvHXcBGkOR7xxaXOBJ/mbKBt3R993FEes8Y9EGGmN28YMPCh7iixddZW1MVUSF2dYomOCkhIoUP/CG7/uDE6JRiOSm0ZJiBhuVe6ZqAPSeSfxWnzeuFOGOhFxB+cCMnc/+V8Z8k161d1WJT/DE8ey6haq3tfteyf+Jdl+KuA+WVN/nVQ/dI1jpk5OsOTzK6RY0cnJ4FY7OvHqWfS1vyyklbWtXHsxiWlOMAozzRMrdtGZdyymPoG1zPxt+2hXq7gh9WRfJxQ3rsXl63geCeSVyL1hqpgyiLl1vxEn0AuUQECKqD4qbkxI9KEq0KsFrTcT7gTiCK9/aIQeX17HHT8PMn1h4mWJivOB8MV0MoQ7eVa5CVkmBiwHZKVS45UNe6lvUP+Gpk0iLXMMDNLR1lfpTWCTUlUrePpNdhNBe5IV+7bA8/4Jd+Kz0U/YtnyOgkeqcPGYTIvS3qA+MbRzzoMr6Gd/XUVXvbqZ+buKsqKiIjieZ21T2yTcFtK642V8N9ZuhDZ/IxLw1dsWJt5DYWpDPNgn8llfu4xqd5ZWmtM6QSb3vmAIhvp50fbOM7czdcI0NQVqTEQ/fGCF7zm+8HSML1FzCI/E5lxRuOgGJzF/0xA5pTq3tLqFplf63CoLRLyrtZeeWF4XGN/8CpCobEqKo66ll75z91Ka4ztxk6S81nHZuo2pv8h8Mi35WCKNeTqJQqc7OBt4HlH/0Gg9nr9tH9cdsoleIzTJxks4Pt570sZYVt1C379/OZ107RwiIqpp7qEnV9TRMMeVARWcmug4d3CxMDJTpPrIu4PzGbIEItdXeR9YVKMtLDCBdSXQxRdfvP+42sT/73vf+8Z/7+/vp1/+8pf093//9/SGN7yBzjzzTGpsDPrrrKuro9NPP53+7u/+jg4//HD67W9/S8PDw2knBVB8hxP3m8pm5uhJIL4QosajW2ZV0fnPbhCUIn1UJzgsK2vRfprHHZyImLJHUGWIS+qVERuaTuEF/lEJIrX3zAeWTENHf/JDnKi4UZOKTzGuwIlLgbhEFOsuLVR48OfJloYumjJnu7ISWDsO70Cv2G/xGLWAiq878QkbdQcXfCapesWFeOtsPRZkJa5ntNV5voIW2Qjk7YOSTnLFu9kd/VfXqUDd9+7xbrioboy5ZPGeJZenEgatuURLXmrKRBVDPf8vif11uC9NeD4urug4Sp9ipU9H642do2kIPzJsUV2lpDCsfEs6fcuzQRz3fuRvYkEpUyx6dNbdS+ka3z22cfKFx+nPXT+X/vDsBrpr3g7fM8nxJuXZDt8JoHFZ978UviNt/HfJXV7edYEINtcML63bI/zOWH/SNzhCU+ZsFzYqJNJTdzv7h+i2WVVU2xLtGiupjHTkPe98NM7IpuRZxRziumsrFMUkwcwIuwz8/PVz6fd/28BlRO6PK3avNMZ7xfjJNgM9ob9/eHolv3LML4kuo8pynxemxWTbAhARfeADH6CZM2eO/z158oRYv/nNb+iVV16hp59+mg499FA699xz6Vvf+hYtWrSIiIhGRkbo9NNPpyOPPJIWL15Me/fupe9///t0wAEH0JVXXpl6WkA04b426IrII54u/LKXN9GX3n8EfegfDh3/riLhJBAP87cF/ddGdrCO9ky849jkilK9r6iVGc/gU6ooin7HPy/lmaOaUhTN2Vp6QZ8sWjZjDNU1Fw5xqJRhpJu2mCD3dem9fyiKtBc2KvmY7N4lGtnFpCmeWrmL2noG6cDJyXYt4TL6wf3LiYioo2+I/viVY7ne4SW1e300x8MbmonUybiDi+PmmWbcCNjY/Odv73zPTZmzXV6Y8Zj01ILEDWhFY5Mo/EosHgMXHZjsF7KmkPejZtyiL0+FN62Fw0/P8EkXiQYkQqf/+Z9lVWe+E0983+mA+8QW47mZm5poYVVz7HsuNunkO4HipdazRPK1I4n5bLLSk6hX0OVtOMix+4sX72jhe8EXd+BvjgwbK5MfP7Si5DfPY1+2HsecrU20tLqFjv/Hw0ri4GHW5kZaubONfnvKMdynIMYoRHyOg1e0Xz2+hr7wvsPp9Qfxb4F63mh9uWnmNrp7fjXH86XCSHmHCf196UubhE+vmKCC866ZNO82lYGxJRZLVJpX7myj/zjxn+Lj8r0bl3c6rzxo6RmkVzbs5XrW3z1cN21r9INhAnu5FPGHGi6ehs0DTiiBJk+eTEceeWTJ9x0dHXTffffRY489Rl/4wheIiOiBBx6gY489lpYuXUqf+MQnaPr06bRp0yaaOXMmHXHEEfThD3+YLrvsMvr9739PF198MR144IFpJ6e8iWmocZsmnkdcK6n7FtbQfQtraMPFp/BEORG2II6PW3YJb5QkPzLxPSNjAyeBkPHa0DUJ5YvLTLjc8RNnB6Itrmhk5iqy9Z7rJFDMpCzWslfBHVza1eF3z6wnIqIffvKfEp+Nch+6dld79DtObsPYQbWPTnp9koxRh+0OKAVEamBJdkRkzzqOe1Qi44iKK+6dOAtqzW2MVyxXXVvKoCMlaWeHbHw6NtRcI5yk1zY2cL4noIARkEcEL+IzDyJuxHlnerz73eHNJZn8iTptHXZPxSqn+1N0c6NT4RjXb3rkpeMNTtPYE0d3v36vMjx5ozIubdzdyfxe9NTrjx4oVSaJyHXOQyuJiOjYtx1CXz/+qMBvSXkgvenLKd7AcJFef5BYsFe8sonuWSDfXr3QXodIGp9bU09LdrTQkihloj+ehN9l26a//6goBOdsUX2LiPGA6hxQpsroNjqLg9sdXMzfY9kl0pR5DeGk9yEElPHALay7gyMiqqqqoqOOOore9a530dlnn011daPH6latWkVDQ0N08sknjz/7vve9j97+9rfTkiVLiIhoyZIl9KEPfYiOOOKI8We+/OUvU2dnJ1VWsv1zDgwMUGdnZ+B/oIf4I4764vFP8EVOAunqn3guxHaxL2S6SBAMQ/chAP+pAp6glQaZlMZ7LVnEcsGgI1xJdFzCPRGWmiyiYaZpRCLtciMQBp9iVDjfI+IY/S34d1w7d+kgkD8dXZwLdlaWmqgiKtkk8q5qcdiauLPiDS+UCsRhVaxTpsjFbOn3i7c30+WvpOdGNO15zmsbG+jse5cy3WmOtTtdcckpz9XjDZ5IF38/LwaKLpxI0WUEpBqMqBwq8ense21uwAhtyIf+NmFkkWZ9tpfv9gpcrLwF25MDfdEY3QOlc8qx/kG27+fZ/E8+2SSepzpct8rU9YaOvtIvE/JAJmuF5syCCdm8t1NJAUQUL1/SPdu/eXIdPbWynna3M/LSAhUVwZNAUdkpojRMp90H45gkeBRIZaQKuoOLMZiXvBNINffk7wSa+ByonwqTYxiEp4N1JdAJJ5xADz74IE2dOpXuuOMOqqmpoZNOOom6urqooaGBDjzwQDrssMMC7xxxxBHU0DBqIdXQ0BBQAI39PvYbi6uuuooOPfTQ8f+PPvpo/QkDJYS7A38TP/ex1XTu42u4wwp0EAl3ApkYWP66dKf2MFXgXURpsRQNhcI+cRL87rv3LI28OC94EighbocHBu2ixYSnFpf9PNQtQaonNSxn32PLJnwPC7utUdio8eOS9bxfFB5DK5ObtuFcUdscdCeP/eg8ls8amydruLcuLb537zLlMOKKWdsJQcn8+9Xja2jR9ha6cca26DhSqqamDA3irKNl3U6J4mhTj0FHosf+SU/xwxtTmsWhZU6egsCe58ULG1ySWcdamwq4+ov8yQ7+MlK4Y87zvPiTQF46Y7aYocx+owXBQmAqgcb+ZRkTCaY7cJrC8Clr1fvviMRdyukgvtuJN2bTtTbkNTCbkIPxne32r5FCQfxuK1b6dWaJ1EmgmHcWb4930xmIm+MZ3pNAce7gJu4E0o/suj6Neu3qGjDrWHcHd9ppp41/Pu644+iEE06gd7zjHfTUU0/R6173OiNxnn/++XTeeeeN/93Z2QlFkCbij/VH/yjqlkT2JBAvUcGNTTBYE8M0iFowc1sKsF4X7FxlFttFj2h+1T7ms7xzyv6hEfrKLQuoujn6QkQV8jRBI3IjPVFVS0U25iW1DtkOSlm0h//2on/743MbxCOIiFN2A9qlO4H8C1seX8oFcsvSNAqbEnKfOImx/hscZiv9/a+w3p9UUYit/zxymFgwpBFHXJwi8ZXU74hM5N10GhiOPvls1xWVeogBI5SUWp2pWJTG1f2jdXp54G4fLGxcoZCW8CaZaeW/KRdaQv2AQLjhTdzRPOKJI70NrbjxytV6Lps/xaJH/3bnYmrtGYx9juXCKBC/VOzyeN7oHTf/+9Q6uv7bx9EX3ndE8kvEdgcnVUc4UuxXnoXn2KWKOHYYUXNzz2Nv8oq6JZPZKJY5eW/arbawUYmGGht2m8WTRpdcUQcN7grEs3nkksEgUWldjHMH9717l1Ht1adri9sfl7/sk07+pFUDpJVAkT+4VfagFOsngcIcdthh9N73vpe2b99ORx55JA0ODlJ7e3vgmcbGxvE7hI488khqbGws+X3sNxYHHXQQHXLIIYH/gSL723paA5bfGiUxRkv9kIv9n56JTPzfUV8Oj0RNTvlkmlbZYEwBpBuW5dy+rgE7wvjlMBWuA5VdtwhRfVlSNIlyRPwut6nMsbAMfI5/PmnhPkZ4nWnz0kb/WCB6yScv8u7JU9pQtTXGRaRvdV07feyKmcnvM14PK/J+9dgaYTlccc+kil+UAhW4a5NuHe1hf1d6t+aEZbXeuKIQdtHFmVtB15tCURBRtiwUXRinSzAgUqSxlOL7ovQMDFNPgsFYOK7/emSVdHy8Ug+PFJmb+CrrNyV3cKKGaJqekYmbHRc7tqHhIrX3DqlHYLmP8efRztZeWl3XTrUtvZHPe6Q2J+Q3QhFrpz96YAW19gzSjx8cvauGR8Tugejyk3cHx/4cnKvHMxwxyH/7riWR77Dy6zt3LU2IKYiUEkj4jfAJKYG4jC1yHQmDJ5qETNAhRkUhuu4GZYkPR2d58Yxf4eh4DAejSFKEh5nEGVfi/elkZi4nG6QRWbSHCFg4pwTq7u6mHTt20Nve9jb6yEc+QgcccADNmjVr/PetW7dSXV0dnXjiiUREdOKJJ9KGDRuoqalp/JkZM2bQIYccQu9///tTlx/wo9JxBBbuxN9h8MYpKlv1vm6h563BtMgRGwS5XKQwIopaFPBuWOmwKDG7loqW7+IXK+ljV8ykF9buVothfx5wWZVFhiEbt9x7zLAUhvi01sNRMm5vMt/WA4vBmKwSKZNi0aMte7u431VxsZnmXmMwruTaEXVy1LXNXBf3a0Xo6GNvngStpksTOXlSIfB9Q2d/YqnuanXDT7or6F6UHfa6A0q+G7tfQCSm2PvNWD8JJoPHR32YYqA+KkVvHVdPHbBgng4QUiTEKH4Vs0FH8xkeKdIHLppGH7hoWokrZC/yD6Lpm4JGjTyIyevR1/+yiP71shlicSj8rjJnKhmXPb7+jXe9oMNwMcrl0XfuXkpn3T2xya67ddqYI/DnqxnkLy8Xp7Gzn/ay7sNTNICImmuKGCREKYtX7WyLfId1J9Dy2tb4iMJhSKQ5rfm22FxEf/xJyOSda+uSMSoKBS6jwaT+QmcxyMx/4k4CsfCXh+gYGt3ug3+HRWK5kWNOlxUzU/upLY2V19FmkHmsK4H+7//+j+bNm0e1tbW0ePFi+uY3v0mTJk2i7373u3TooYfSOeecQ+eddx7NmTOHVq1aRT/60Y/oxBNPpE984hNERHTKKafQ+9//fvqP//gPWrduHU2bNo0uuOAC+uUvf0kHHXSQ5dTll6gGGe8OTl/84cFU9fJ0Vfc3X7hhHq2pi558ybK3o4/W7WpPjJ/fwpHxrqo7OMXFfJrHhU2eWIhLxkNLRu+Quua1Lcbit4loCZoo8rg+QGexnx1zD0iBCnosSzldFPH1baNP3TyrimZtaUp4eoK4S2Rt+AWPwu8OjpX3vJdsGjnFqpBNYm621MpjLAu7+odo8Y5m7j7ZRDuWscx7cd2ewN9pbDDoiiIuC8N9mrQCX+61cd7EOAk0Rlrjt6rSIAqX+jKbiGxs6jUIKZVBPRw1dMxn2n1K8E7B+yRMs2lvp/Yw4/qBk2+cR3O2Tsw90jiRJt9Xir/ofyNu7JFWGsi9Vhq/wrtrd7VTA0MhwozH8wJCm9iwjAo38lmJCF9Yu4cueWkTI6zod3jmkf5nAhvpgc9624hH6v0ikdx4yTQKTXpJ0sV9lHThdimav7rXuDZnHTrmkYUC31o3SkE+8Z3d+RfvPT06CLiDi3kuvAba3TZh5GZSKSg7FcYMOrtYvxOovr6evvvd71JLSwu99a1vpU9/+tO0dOlSeutb30pERDfddBNVVFTQmWeeSQMDA/TlL3+Zbr/99vH3J02aRC+//DL9/Oc/pxNPPJFe//rX0w9+8AO69NJLbSUJRKBXCRTaHNEXtDRTKxvoX97+Jq1hnnjVbK3hyfjmTQqDNZkSUwIJCuAoPJsQWU7qWp8y0hQvr99Dp36A7cazoaOfVu5sjXSDEJe3LvlVZmKwYowFfeusqtD3oZbLuZgiKm3fNnM34A6OQ5Dm7kHa4cjJzarGruSHUuSsu5dS5Z5O+t2px0Q+o7OsWePE5IrSk1o23Q1GoVummZsa6Z1vfT3981vfMP4d7+ZiGN3r6gMnl9qLpe0OzhSBO4EklG4ytcBplzUpYVJUEcVkRYFlVKYW/7TKBvroOybWAnHy6Nj4NXUCTOc9P39bVU+fP+Zw5m+iXSlP+fJKrqMbN60I7x8qKnsRIBLbcPU/u69rgL4xZREREc0877Nc7yu5FpT8zYQCTlQGnvh5TgToOnHjR0c91XYnUELDC90EFv0c5+lfF05JxPWnUe1F5Y7ZYtGjaZUN9KF/PJT+8U1/Jx5QDBUFOfdrJuGSJ1SOvC7akuLgWQ/I3gl01/zqkrBMDDnSdwKZKOQMzWWzjHUl0BNPPBH7+8EHH0xTpkyhKVOmRD7zjne8g1599VXdogEBhotFemRJbayf4JILPhXiCy/cuU/ycIavo/9p7ha7A+bVDXtp8Y4WDTFHo/tyQ5FnooZIly6ZVyFtC1qZuDxPvgb86vE1MZGJhRX1+LmPraE/feVY5m9fuGEu9Q6O0BsPZg9bWd+M9MPdTxlMdFzYLl326ZeTd+Phf55YW/KdDfcUX7ppvp54NBVH5Z5RC/FnV6tvOEURuByX8XualnmusLymlf7z4dF7CvwX0eqyZjfZXIWssWN/k7EwVifonjB/dPQO0d9W19PXjj+K63nVPBB1uZxkKSwTr0g4FYUCYzxTsxL/r0dW0bc/8o/jf8cqgZLc5Xj8F7dzuWqW7VM8/vYrOpaKKAw84lvvhfOiprmHXtvYwBeH59Hjy3fxy8S9/pTL/MGRInPOYgc+BZwxu42Y/iKtaanOeIL3qmjqDBkk7ZPsbOmhWZub6HsnvJ0OPmBS5HNxHgJ0In0PZyiRuuqhjuJIe6vjuTW76X+fXkdEwXmlDipKTgKxE+fSWpGFqDs4FXi9HJhUZsbHKxu422UMorGuBALZ4IW1u6lvcCTy92mVjTStUtyXtSwia7aofm1B1T7auLuTfvbZd3G/Y5JfPLpa+l3+RSLrXbG4eCbeOtzB9Q+N0O1zd9CXjj2CPvSPhzq/yS+rHBN5duwbl/OCayIR84zfbYif3v39T1dKrlXSPz3Evgg1Lju5FhVRzyS8Kxtva88gXTdta6JYuhA9CSQDbx+pUymXZhvftLeTbpqxzRd3WrsppV9NKhScXFKYzJP19e18MnDmTNxp3Tvm7qCvHfc2KkTcjcWiprmHPzJH4BUraFBkSBiL/OaptTR7SxM9tXIX/d2B0Zt7unDBvZ6IBBWso0AaeHpV/YQ8Cps6npc8/jhRbwVkSMMqP/zI56+fy3yu5Mohj+jl9Xvpj89t4BfI3N49b7Tan49KB2/6gveFiEm6blc73TRjG/3i8/9MB02O7rMCBiWpNoKYuKJO+SQ/whuDNHF5dOrNC6hvaIS6B4bpv7/4nsjndG3qi0zVjShZNRkuRnGjbz49HkbJqWMx14Hc7I9mSTXbqFiHMfDoSSAOUQJGNkkGD2oycbmnC/2tcieQKH4lUFxaZ21povsW1sSGxd4fUstAaXdwKXS9LnqDyANQAoFERopeiRWSTIPUuUEXWLhTfOd388zSwZiI6D/uW05ERO894g3M31lkYRM+DpbYU+bsEApDpyuGuPBun7Odbp29nW6dVaXNiiWtYcS2n9s4TIgWXIz5fkhx3NbvQzu9MrR1oXf8XWrRv8X1Ab99ep3Q3UOqjKTS1vgq8lMr6wN/q1m2y78rwy0+d4G8UcuImLQonDypUGrNKRS+WsbJbHKpxSfXBuPDjP57895OmrW5iU5+/xHc4T24uDY6LkHZIsNRUEqPIbNhElj4xijPIuNkzIVF66Cu/p8Vyuz9ffGWhi7617cfZiyeMXj74/G5dMLJQBlE8p+1LhHtQpLi43UHx8oAFTsP0WdV9lmSZNAVr+fxbVapbFaPnYjlJViH4zR+shK5A1d95HgoLp+qmrrplllVdNABFfSLz7078r3wRqmoOzgThl4qIfpllHK7FpOnHsWXXd/QqJHdou3N1NozSJ39Q8zn0plvmzfCM52KO+cF91Ve3bCXXidjhKGQDaKuzpIIeF0oFLj2ARNPuipLpUZSHi3e0UyvrN9Lf/zKsfT6g9S2zCf7Jhtx7ai5e4Aue7n0LjIi03cCSa43NMsxGqbtmlEelDr6BiAEq2OQ2WgJDxgqcwkRH94rd7bFhrW7vS/2d5eISibvuKBDOREOgfckUNTgFbWgM3F5rUkUD8BoJ+4kkfa4Ahu7HM9zhiUmRPRPaRmRaHM9wLkxxuX+RfD7MeI2WsLxXvRi5fh3pl1a+mnuHqCfPrxqQq7UYmbT0RdcOKc1kU0z3TrbEqv68rpMEAlTBzbqlqyXqvBj4TlcfVu0215exoIUyW/dZRN7woIzs1Td0crNqWz3VNGozhHTcheky2UKq7/R7cJG5c4hmwZFptq2yLgoq2RVMsAQbJ/8JxXKBS/k5kyO7Y2ldzf68/queaV3ZaSB+okFns1ztThYRPVr/va0rKaVHlxcG+kSWKY/Yr0jpPjljsfkGlct5F88ujr1DsCka+XwuBl5ctCYBKXIpDYpj753zzJ6dFldwEhONm5/XMqHj6PyW6GeunwSCJgBSiCQScKTGZFJAs93Mjh/+TzpSStfGPyTvrzcCeSvk1GTfCGLzYwaFJpeoEeGqTm8tNtz5AWnKdWDUuVudOjhJjtjUyNt279gHxxJaReQiK54ZTOt3dXuk4vR73CWY9yi9PHldaKi5ZZtjI0ZWVg1rFBwu38bJ+XhXsxaPj4HL35pE/UO6nGr6arFnpQ7uNKjQFLYcl2hMq7qGu9UNtDVNu71oXt+EjfHTTwBxxH++P1KAjIJkygnf0JE8pdVK3mWDLxRhJuqqko3Xjmpt4TET6wJPKsYhpb+RMMpvTG+dcciNVk0yDBGIfA5wg205jg9LzqM/iH+ObvM9F5Gdl1DaFQwJttOZBgGTr3GMSlih1dHWnj1S4kGFSlPH8PiROVRmLqY+8558eeZiX2vuDbO977cy2msAdzfXc0mUAKBRPQpSfQR6EA99ck1vxLJ7oaHGx2hnAIuCl6rS5msf3Z1PX3uujnjf6e1NxNVT4QWvxoXQMEwzNZh1dBNlJFKmHpPPni0vLZV6J3BkWL0PQs8myGSdTHud1abHdq/OkzzToiGjn5tYZlQ+qU1IdfepCXC07WoETlFynxfixRuIFuuPBtIDy3eqWXxJnLyI8ldjei7/HckeZHtKTCVlNqsUncH5wLaXNJxBmMyi9LO/sS6G2vIEf92mqfn0gpXRQSP+NrXM6vq6au3LaD+oei7bIkiFLbCG8TZa+/3LKiReu++hcmnbzxPzz1WInOypOCauwe5w0qOKzq2yHT7X4m8N2jiIZn5VFKeRp4EEqjw+u4Eii9b/ns4g3/z5puwsYKG8TEu66LSy5MNp9w0j24NuHMejUi7Ozjf54pCISDzEyt2sd9JmF9pVSBIpJc3j8YeUzHwmRQ4CWRmz1I21NE5Mv/z/nZmYvj7/d820AOLJsYo3aezwShQAoHUGC56oQm5fKMuca8gHVJ6igEdRKZTcsIkA5cVnsCe9UjUsxpkPe+pdVSrwYKDB9kTUqZIc8yMnOhFlq0ZKxgT6Owe6tvYrieTZF8hqDjiJS7auN9YfcABvCZVBsE8UQ/c2bj/wVU7W+n4S6aLx6NBWZ4WxjZPOZ8rUEG4XMYYZjTYPsWTQF7oX9cYk6tY9OgbUxbRt+9cwqxv4fslU5HNWF1KUCjwhKEwv+ONI+p5fXcjmdlgkQ8vRvnpnzsJvhv3ng5KlcnyStxgOMG/F1Q1C7zN77Zm4+5Oem3j3thnWPM7lToc+5zlzlJH9OF7D6OIPNkugAb9nBF0liMrn/oGR+iu+bpd3fH1QUlIKaeE3wi9z6k82dLQRR+/cpZymCy6B+KVyTzI2EnxKB22NXbTjTNK776OcnWmo/oWCnxK2qTNe9t9Iq/LPB37hH4Xen5jSVf2IAeHky26BoeL9PCSWvrQxdNo5f59CVNFeMlLo/cizd3aRG297DvKgBr2d21AJpHRhte19tK/XjaD6lp6uTqbOErcwSn2Qjr6YFc68jhMWLOwFoasWKImDEOKdSFL2J7wpLH5FGibqZ28SrDOkxBExMqcl7gJsV/C0jYWETdHnNEWQ0mT8+jfWQvBAyal3wGG+1yVwyiq/TdvP8gdnsK7afObJ9dR14C4UiEyjQqJT8sqO43aLjteh9875aZ5pQ9pmrDoyu+k9sO0Ig19x0rS3s5+WlffQSt3tjHraKyrrshf1OkfGqF9XQMGYyglfGeZCXjrg2relrjxijJESQqH8Z1wlU54XmVc0n4SSFOfUvJ7QFDG6TjJeFltWsQqOPHRknoUfWqQJw6dClKbdPXL9xWj6VQfX9htU+88Xwblvish3Llbm6TCTZIrLSNQLhKKSqYsL3qxkvtZ0WT89+NrBN9gxOk3OEmhM1C9XzMpbJ7g0zohyh1HSKDJgvcmqeSovzyKinUhck9A1qWbR4kuootFjz5x1Sy68IVK6hkcoXMfW6MUJy8/fGCF0fDLGSiBQCI6j2v2Do7QZ66bQ6ffukApnLAfd24ZFTZT/dhS+Kj2tVrciYVyi2m9KBDRMKc/GS3WKwYXCZv2diY+o2ItOfq+t/83+dxwYSEaJ4NtRZlJZOtfVH9jcvIVX0YsJVD604nSfLFXeVJ3QRQaA02FzYOIAjBpIcyOWcwtTBrjcxr3vvAYXPC8N8Q4bltgPGeadE+nstMcJugOjl/A9t5BqmrsYoa5paEr8f1PXT2bPnbFTNrTzj4dKktcraze16M1LhbC+hPBzRDP82hDfUesIZm65bneimralclY8DaN4YJxJyiMFErI8zyh/JTZCBXNR399iZPNFYUeDx++dIbS+8Fs16cAjMPV++nC+OcOwZNAo/IfdEDpXFqL69ZId3D8jEhUYpl6H8gXzlNMcdPQ3aFx1oYLx3CMg8NFWl/fHmuIotInTxJUcCThz7OKCj7ZXG+T3CeBdCi1/XcCqe7lMfLVI7W5T1/C3WDdg8PU2qPPrSawz2TbAoDypKqpW2lCXPJuSpZ2rg5nvMOTDvm5FuqsLyOEZG1QucrS6hY6+s1/x/ztd8+sT1kaN7GhxCkUiDbs7tAbJmer0qJYDW/2hloQj5tx3rAj4/TCk9SYhRfjO97JtE7CZcQSOS2FPWtxrKSszUC3OFZPD5o8SfL9+HBlMZJ3FsrDH6Xue5EqCgUjfZcpTEUj6w7uXy6bwUz78ppWenl9vAsqIqKW/YvpxTtaBGKNZ/RErF2464Nkxfnrsjr68/MbWQH6go5QJRsYCzbv7VQ6VZs0RnBlk+1C50CnSzCRe8jSGP+5q7zlgkpr49vzktekPJKw5uBaUyBZN2Ldk0UE6i/7pGhl51NxeJ6uk0ASSiBGqZlolpMrSpVnhUKBeeLWxvw6HOevHl9N0yob6fzT3mcknigFuGw/MOLrd3lPAm3em2wQows+pVQQ7nuTNFfYNO/O5cEjcRfRtsczoA6UQCARFzejSjdNAQ86FgE8rvh4omnq7KfDDzlY2TVgWqza2UZn3b1UKYwsXiDLQ8AdhoHWmHS5b3vvEN0d40M7LUVAUjRxcvitA0vdHEVN5pNl4rWi0/WbTWxeHql7Us9zYfh4tbBcHizL1SgCRWSgvJRPy+oRgz8+ESMUzmd5nlPuE8dOH2jKMZlQ4t7hDS/OLYdMHzitsiExTke7T25iy5y3jo79K5gZjyypZYcXmIOoIfJ+U9cA9Q3Gz2Hjhoak7lD/KU8z7wV/j+9clAwASax8kqzhWYYkouL505PmSSCX0THnZt4JFGPUNFqW8plcKIjNqXWkkRXfwQLzqWBY8cJHngQSqJgydwKxMLEmi2rrWxpKvXTYaYt+gxOPplU2EhHR/YtqIt+QyaextOl2zuCvP4VCges0fHhd3j0wTK9umDCSSb0cQvHxnpZKeqroefTs6nr66DveHB11xDihUsa83/PQOyh371U5jWt5A+7ggBS2r7/xL4xELFy0bVhktNPTIbbsSaBwnfnqbQuJiGhoxIwSaHuTmAVK0kR4xf5L8PjCivheRKC48LlkKH3KI89I3RXd1xWVgXXppZ+Gjn6xAAVImuim0RVEuoNTcauS9Ltg0DYUnOF8MdSVcMFaYJvMEdmw711QTZsTXFeKhn3QZMlNC9Z3XmkfJXYKxkyul5zOS8PCXLJN8eSBLvFTOwkkmxcJ7+lW3tpURHukXq7qSlSz6ecprqgy51eiiqUh6a6lEsMpAZlENqVtWuamGbdI+XBbegfCF3w+tB5NC1fXoSUuwx2VU5oxAwjJdEXP50cxchKI2PMtUWSGy6R8qtzTQfctrKFh3wQ+ziguiskR/uBYMtvoK6PScdDkSZHjtpI7OM2TVL8CsKIgJ9v5z25wymsKr1vnseeiHn9+7R4676l19Jnr5nCFp0uZGkalXvcmGNuWxKXZEAykD04CAWuodBtJ7pPEw+N739XJbKFQoLaeQbp97nb69kePpvce8Ubmc2bkZ2x+ckTUtP+I9nDEYBj+VnRhfvKN80u+U5kTueA6x9X65ydg4SIxTWSV0cxNjSoiSeXbuLWfUsxyhMWNdAdnQOE28V70iw8urpULNIZi0aNbZlXRh99+GH3+mMPlwrDYQJjdmIrFc+Lm4MSWr0g0l7+ymYiIaq8+XU4wBro3LXjrfxQq/XySgixN/PkgpAjjqBCq+wMTG8/2iHezFfyXiL3g9yuBSu87FE+d1FijMRNtTxFUTqvxzPF4+vi0TwMmyRTnvizxxKegLEnEihpqH+HyUDkdLL1hzuj9Rcb5pE0+2X6wWPTo5pnb6CP/9GZ6z+FvGP8+TjLbngDSjD1p7s+TF+yyYb+X5j29cZL3CW6ksmC58dKz/lQPRMZogvWGv36cfuuoQaj/BJTneXTjjG30r28/jI445GCueKJOdbDSvWNfNz2yZCf912f/mStsHURlnezJrySiXHTLVgO/y+uKgrgWyPOIXlq3J/hdQIGuVj9l+oDJmk4CiSJiCJL0/kQ48ka+nudRn+6TQFnYsCpzoAQCibBdFKjD9uvNR7gDdaGvSWcOGp3QPz2/gV7d0ED3LKhhbvA1dPTTeU+tVZdAc14PZcQdnMiGUNSzHX1D9Jsn19J/f/E99M63vF6XaE6hWj1M9DcmLVV0LKwmtvPZYSZZDkrF6cXbBkb9UtvcQ3WtvQoxs3lp/R66ZVbVaBycCorwBg9rgcrbL/NahEWh3x2cPUQ3ckVOAqkufhLDVwgzfHmwn0te2kSfevdbxv9OY7wPKDCowF0neJ5Tre9jiGzIqmwi8yBzF/m107YKv+MqtjeZifizUHpMjnjN//XC7c3MZ+Zt20dPrdxF//7Ro+OjEBQtUQnEa2QmaVDleUSPLN1JNft6Ep+9/JVNXLKUyqb2e+BZhXrqeWKnEZL2+Fg/89TNl9bvoVtnbyciosV/+IJPPvE5VWqkJIDnBees8tHyK0PSPYGlZhwQeW+QR/T0yl30zKp6ObkS4tfhoUKq7TLeGXW959GlL0/0R34DnAVVzbSgarQff/W/T+KKhnUnUET09OMHVxIR0dbG9O6siToxaOLkF5GBk0CBOixn5Bkm7SlLODped3BjmDhB78C0jYhIWAnU1DVAF79YSR/8h0MNSQRMA3dwwBpbGvQNvib60J89sooeXbbTQMhm2LC7I/b3855aS+vr45/hgeeoP+u7qE2nIZFbXi2ia6B+bs1u+sH9y/UEFkOkcYaB1iI6oUl7ziNTdvITXBPbw/JaINl6G7VxFeX6RrV9bItYjHX0DdGmiNMZ4VxROQmkWmqs4/1GlY/GQuaXe+ypgw6QW8RGxWNrM7urP9qt03NrdtP/Pb1Oe5yxaZXNBoVNZ1fRIWk4rzft6QxcGq0jDtGTKrpHC/WrnsTkD6PSB/O8yhP+JS9FKzp+98x6+svsqng5ksUIypSglVC5J4ZHFo9Gjeri7pYYY/GOlsjfBoZG6KcPr6THl9dxxBqSISEhOl2midSxxDuBJBtMfduEwQCvYYMrm31poKNfY94JpCHc8fAT/jaFP13hNP72mfW0rIbf9bgIOuyURiQqMeuNQoFoflUzPbCoduI7xRKIOtUR11+s3dWuFKcIUWLEnQSSMdYZ62ujTgLJEr4TSDeqYcq8zRullvu/otY7UifO9RsdDgzHK4FYUT64uJbmbG1iv5Dm8UwgBZRAIBEXNwpK3RRwbnrsf+y6aVsSn51a2UB/ei54Wsm9nBhl9GRufIe7Y1+3lrjCE0nVPBkecWsjMA2UT1JIbw6qRWsjjptnbkuc3JmYa4huhMd9MwavnOEQzKQv/HeycteULEREnX3DzO9virkPKiyLTXdwMovjOETc69juK4VOAklYwGEtwX9pNRHvSSAlcSZk0VX1NFdhnv57X/dA4O9w/tp27SZDVmZNLHd9XO9piPv66RNjCmvjSbQ/jZjCTvwes/uaFFOa9WlLQxdN39RI5z+7YTRugXfTSofovZYyG6Gs8E+/dQHN4HBLHCfaI0v1GhXa7muiGD0JpD5oi4SQ6p1UOsPSGFi8PYkXY3TDH4fOA+/tvYOBv2XuPvW/M4lxJ1CB9MqsQpQYB8cYUT23ZnekgVwSLLeCKviNHSZVFBJPWYqSxjqmxMsGZy8z9pQu5Rev4YBwuAphyb7a1jOY/BBwEiiBQCLMUx3pixHAC30W7fimzNkx/lm3Gx9d6B4QdaWTyz0FYziJqjNRdwKJ8IkrZ9GaujblcOIQKQ8t/psNhWsa3Yuxm2fGW+3yYDLfAlbdkh1jku/9yDuBLJw00eECgEXUKYw9MS66wpJE9XHPrpZzryEC8yRQBtqrCmP19oBJclNJHe5JeMPkQaRuqywGT7xqFtdzsu2bJw8KVNBSP4XcwQmmZ7hYHK9jJsbU3gG24lktDnFB9c3NtARjTQaeV6Pqm820J80NVU4C8Z32NZ94/6XtbBn4w1KVViS9ohuhUUFX7umknzy8kuN9BxphBLYMOmWzhHkSyIHsNSZDrBJHHR3DjMyF9uw9pNL5h4zSwh+GzEmgNInqG5Lcwf3i0dWC8Yz+Kzktj8Q/TymQ+HqX6e404nNa2OsT1eLl9cAjEl7S+1Hl7Ur7AuJACQQyic4+59KXN8W6pkta/JhCdK6VNCA3d+vR1ofF0j0YydDQ2U8/fWRV4nNjG3cdvdFuf6KQnUDLxEVkZpIw+oNSsImBBiz9U3L3lOxSRTy+sQ1h8XXJxAvhd+M2juPiiXqPJxs7+4bYC7eESV/amxmd/ewNWZGLdqO66vOe0u/GK4x+W4L4AHW61ykJWzA8WYvAyC4q9EOUC0IW7X1i45yNTbu9Hf1cz8mKlmaaTMa0q7WP/v2uJdFxx/Zfpc+En+8J+UAvOQ3JJWUQnn7AH8/C7c2R9WGk6FFnjItCFsru4BQLVLTuiY7NaXgPFs2C5DuBQuEHno/vxz3yaGB4hHoH9SssRfj4lbPo3oU1MU/4NggNWwmKjLVJ92KwFP88ddjvwcD/PLbDRuusjjrALBsHclhGAv87JlxpJcbvUWTnPiSwxyGz4avTDVYcUa4fXVbMEhEddEBFbJ0Qmf/6iVKqyWZH4E4gTVXY8aIZZ6x8VNIt4wVBOA6ThqEZKSvAz2TbAgD3yUK71+kmJczpty6UeEsd1mQr0kWTYVl4ZBB9JjEM3+fqfd2JZcerrHth7W76nyfW0rmff3dkfEx5JNK0aHsznX3vspLvVY9Ru7AQ8uPPm4DfYOtnBkcxehKI4VhtjAJJ9p+hl6JPAiXTNTBMP3iAfQfVFa9ujhYhqq8x5g6OvdAZGIpu1+GFk9KdQAWiXQpuGlnu4FQts1R+V0FcCcRfKYLKK74864+pA2FOvGo297O6qd7XTf/0968XeicuqwMbR8Tf7/M8ZWMRn+SuhsWK2rbxJ5QJBdEX2ljXMm8RDOO5Nbsjf/vm7YuE73FMY2YQX47yYbiyySC6aZiklIh1B8fRz59w5Sxq7x2iLZedynQd5EK2iWxwKZWzJzbOy8y1eUK/aSbbTW2addi1dYAf/9xfVs60dSUFTp+rqkoFUyf7a5t7Yn+PCv1TV/PPmXSdWmVldaQ7OM4oo08CCQhmEH+/5feAkuROWba+Jd2HJkrwTiD963vVvpNHuRqOQtQdXHTcCkZbcq+xw5IMbFeb/NrXlXkbEAdKIJBRghtJJifDW/3+WGN6O90TVpGOtVAoaPf/GkWJ6yrmEd/S71bubKOh4eBmHu/R8i/cMI+OOeKNsc/wWlf9+fnRe57+Mmc71/NjiNSxsSdvjlgoTq5IPoQZtSDZ1zVAm/fK+QhOZYPIQpiu3hnCu6gME65rqulbUNXMjGPu1n2R74gqVFQnglHWiP0xl1WGs0VFCbShvoNOunaO9PsybjLygvaxL8XNLc+bkF8kHaxHv3DDPPrhJ/9Jh1jGkVZQ78cb/9devY+Lm0e+0pNAGmTSuCIWVQCpsmNfN+1tTz6ltmpnKx37NvZ8TDT5PCeH/US6g9NYD0XTkHwSSF42j4ja958mr97XQ+8/6hDpsITjFlHw7v93YHiEVtaWXmzvBT6rlZWIXEl3AoX7fLlLuoVfsUJacvrHVBVZWEHEvic4D5E9kSOTjV5oA90EZ0xZFPt71Bx1YJjfyEYu7XzfqyoVJkWsq2P7X0tt92c+zyVJ7uCEx9T9//qVQMWiJ3U/mh+/ApCnjYuTfmGI9veRClwlgz/7Y84Xb5hHbzhITiWQlfEPlAIlEEiE1UHZ3nQNi+RCJ7S1oVtreKILx7SKhEcq1lzz1lmld7uIpHFrwuWIrRyX06nkkc46pmKh87ErZnI9F30E3yyimzquMiZ7IWG7tG8wrKSQ8GtN8QugqN9UNhyZfagvmrRLLiq+/hh3cOFxiGWlyDtWtShebsmKO608tNXKxuIVOgkkYDHuMlFJfnBxrZbwm7sHaGboInKd+ZU1dx5cm4b+/ot1yizUUsJ3Aq3b1U7/cNjrYsNIwqZ/dM+Tn+N09Q/TF2+Yx/Xsn1+ojLwHTOdpNeZ7DvYZSQYAcS7sgvOlUvzjSrS7o9joU2FMht8/s56eX7sn8ndRSpU0oieBktzBlaK0oZfhOW8WiM3dlDdi00SHe3C3U6juIeOASW6fBPIX4cLtE4Z5USeYxt8TjGf2libyPC/Q9w0XPTpwfzyyfVS43xUtLnYV9hJ+54dHHuk4NMyXowwhRGXa3tRFq+vaE+MQpTvpjswoZa7zPQuIAkogkIjrzdsjN2Scubkx+SEBXJ2TcingOGW3kURp6y+JAonavE+a9GWNSCtPR+qwybb0+7+tD8c2/qmiQORXYfCWOrebBCJq6R6g1zY2cIacEG+MDBt3d9COfd307sPfEPGumUyOvxNInzs4VdjuO9UswGN/V0xqnGw2N0Q8Sne3wpEuqoSv3LKAmroGxv8WGbb4rKz1jEEypwVUw5ElHEdXaNH7i0dX08ZLvixtEcmKQ/YZGR5dvpP2cN43FWZ3e5/Q8394dgPze1mrZd53o+8ZFIt3DFYrEB1HkjYZ48JLGjeHfRqkqIu+zW3C8Ic7JgNLAVTyrEifwXjW9DiflJ9x42Mad1bJkuaw7m9X8gpAufuaksNVDEB1s1rR7ZksWpQhEmFEvRL+XrVcmErygjsKPml3YYIvjhQ9mlbZEDwJpCEPSsLQYEmUZAThCuPzZU3WUyrFcfKN82PCNZeLUPbkDyiBQCYJd0W8HZ+yNY3S26JxCcaWkl6BJw91TDhMjWVpnGJLkn1ShMVSmjKYi5j50WyUCRHJTF4mJn3xz02r1Kv8FcHziH784ApaJ+E2KCnPwm34q7eN3o120dfeLxyXijwi98Ho8lcug+6NKZGxSibqYY15JeuKFIsKiuwk/QogIv39eUHVH5wD8Hh5idtkaOkuPf3X3juopgSSfjPIY8vqhN+5a1514O975ldHPGkO3vTLzsWjui2bVTlp3GHdF0c0ej/ly+v3xr47POI3KknXeEhVWWMKrcN8KE89LzktNucZfhzZ22aio6oOjhRpypzt9Nn3vpU++A+Hxj4bPskeK1vU+5xkcd7ikWdNGcKKtlAolMgja6A5RpRxpSve4GTjkululla30vvfNuE6NOzKTQa/x26VU8cgiK46eNvsKvrOx47WFFopvG4dQXZIvpgClD2sBm670ZecRrEjhlFEBv4CpTcgFz2itbva6eIXK6mjb4iZ97wbomnXI5U5ppSoEfHxnARiX5quqMTkWODKhTsRqL/eRskrKoOy4V5K9awQaolha3teC0ARCzkZBVAUATki8mx7k163lywWVjXTZS9vooHhESF3cEurS+8iUF1Y8sK60kil2iW9q7oREXUHE0/c48/tf1DkYGOS5f/DS3Zqc6nGgytWommj2i7G8k1X/iXXd44wBEVp7h4o+U7VMlWXMviPz7FP2ohwxaubNUgihmh98D9voozTICnNLHdxHb1D9D9PrKXeEneyQYY53MG5sAASqfci4pa4g/NEDSTin5XpBYdGosMs1/HEj+eNjuP+v0ue4agFjy2ro+umbR03QHIFmSL2vxLp3llOHH4ZHKuaJeucqOc45Za5EyjN9honR1w/JDOnOGBSIdB3ztsWff8rLyXu4AQ7z8Q5nmJRrNzZRrfMrIr3chCS4r4FNVxh67/31PdZUx18amU9nXnHEi1hiWDTAwdQAyeBQDIOtu/AwtHQxrZt2O6Fop9Pa7PTI4++sf8Cyr7BEfrku/++5BlHDOWYyOaSzoFO5U4g1wn4utUWZjyJl9BqkoMPX2ySxVxiIWdAxSu76RpljazsnswX4/+7bxkRER1xyEE0GHNprUutKG3r4N//bQOd9J630Oa9nfTAolrh9+PyVcWlk+p7a+raaU2Ev2u3cKn2iaPLI45Itde94eIPbmVtK1312paS3+IW2/u6SpVAyuO8w3OfNNBRxAurmiN/S2PTTnS8TXYHV/pdz2Cp/31W2oZH/O7gUj4JJPJs4sMB6yAJaSYQ6nOUYmIzGDKgyIpLo7ROsHT1D9FAzPxCBR3Nn+lmjuTdNYvHr/a+DJ6np/xlwmC9Uxj9gfGlPBHe4GL7i1Tbq86JcgIHTKqgyT6PI794dDXVXn26pACjhI0ZdKxLl1a3jH/WMbbfNHMbfYqxJzURx8TnvR193HfBFmj0fto/P79RWrbwvuX4Z+kQ0yVKzqzID0rBSSAghY1JTDz564acVWz55Nq+j30qgNuSPOZJ15Kv013A5AiLJZ2wJFha3TK+wW4qrsDkJqVCTHQH50hjips0u9Cn+utt1GaoKTlZ0dW19sa2JBfybAxRpX0SSe++tG4P/e6Z9VIKIKLSjSw/DZ1i94pk2RJMVnJTdW9NXRvze4/4+zGepwoFs5tC37lrCS3Z0cL8TSqeBFH/7c5kC8hwEO19QyXPBJS5ihbfkc9kt7log6WkG/sybo7iYtYl9X8sAwFe127+k0CRBhhcIdlFts6z3hM6dSRh0JD0SuwpWocLIy3ZvndvsP265j6tEPpXFNX0yNyXdNGLlUpxElk0zmTEy5p/RJ+Q4tsniFKSx/UXac5dZeuN3EmgCu3jhd+tqUd65sA9vpOwukqilVOx091faogRx0MaPRQEjGXd6h4j0eXZBbgDlEAgEdcmcESlgwVvJ6SakjQ7O5GN60IhOLE89eb59PhycZ/yPAQmXZGnAtyrM6rIWEVGzZFsnQT69ZNrjcfhRXwOPqO3fphUBogHXWB8EiON1hNuo7x9qksbUSZOSMli804gGeJc2ogiJGrAGs6tccKF2vTN2xenEo+utEYV4bKaVvruPUuDz8aGI2NhHPebVxJuidtN5gYz0eIdzXTyjfNoeW2pe8kksqwQ1YHp5Eflr86+RHR+krS5ypKNd87ivxMo6h1TdU7I8EnISIqfEndw5DHd60Xx3XuWUs9A9GYfK0+T0hLvSrW82z8Lpjs4WaWghvxll7n9crvwhehTBguqmqmjt9RoQQQHkhggLI+JdVxn/zBdP20rtwwmka/z4hw4Wf/2brjbdWG+nBaFAvvkuAg67mWyyfnPsl0Um0zK5r2dBkMHcAcHMkmwA+WfFj68uJbOO+UY5fjjrKh1IWq1459AbWnoiuywVfHnveqiNO2BsFCIdpuXfJqEP57rpm2NvTuF504gpgwCzw4Mma+jYwRP/7i3yasihfjCJHnTJu4dIsZmZUobC8Ej6umWnSNVRRq2Ozh3E6V101QyLBfK3AUZeNEpalruY3Uh2x+JvuV5Hn3vnlFLdpn7z0oVTRmqYBrgLacJJZ3/u2REFABcaGgGiSeBWEogxnOsUIaLE/O4qGhcqGK65gs87UU0JnGDuPgYwq5Us2jVnSY68ySyDQiEwTIekrRjicV/n2XgnYix9+X1e2PDU1X22jJQYMXKyoHIK89ixOY5VdUUs3mfZo5ExZXozlxCyAMmFbT3RSVuykXvBEoQKI3qKRuFDoPD4Yi5S1aGjOmbGpnfm5zj/vKx1cbCBjgJBDhwcVIbXnDwynjr7O3Kcd8xdwfdMXeHcjhJiHasaVnF+/N+UgV7olFMT/+QGqKL3OfW7I6cJKVxEuhvq+uNxzFG4PSPx/5sE1tyhNukS1aiSZJE7bXZ3jv2W+HalsWPbndwptHZR9u+o8EGcVVPpF7y5ofuuqTadpjuvFTC0xROOEBRxTZrw14i2nHOvle/+1WX4T6Vn6JVtCjCdwIldIDMn3lPAnF0rqbyRGQNouvUUPKpKvG6E3fqNVzWzd0DiieB3MWWbDqUD609g4H7sZSIaHu8YyJvat7356mcT+qNl/mupsLXFU6hUChJT7Q7OD6k1lcpNoo0T78dOCl6e1eH0ZbnedoNiXStj3nlSrs/DJ4EcnmkcId+n7tAoB8ogUAiWeiqUrOUJ4+umbol+UENsBZD0ekspLYh6h+7XHINxYt0NmlMFI8SyOU8jINn003YT7vyhEn8/bbeQdrV2isRl88dnMhmcEy+WZkvRsQZ2eY1b55GcdzF06mjb4i2NHRGnL4JkpaeSPfhUNNFrtMqNK1TGqbZ3d6nJRyRk54mFoM8YRYo/X5FJT7Wu1v2dkZuDI497gU7ViIiqmnuoe6BYWLVwGteU5vfhdvVYsa9SC4ZA+hGPGVipyh01tmhkSJ1Cd4LwCJJcRhWEnkev6JpyHfqJCoW7aejEuKTeTZgKBTzNE/fJTp2ibS3b9+5hJ5YsSv2mcHh6PmZDfdSO1t60otUgl4NG3n/etkMOmPKIi35yzyFp0mJyYMlb+DWNp6Z7jCpNB9lPIt4gefEZUvzdFRsXDF1QiZdkxlKoJ0tPdTBuAeRF+P1R5eC0UAcOvbXIterGVcImRQ/ax4LsgbcwQEprPdZoUm3dXkM4KqlgF+qqMuluS+wjnnMRPpVTkvplGbyJDcHtqXV6hd5u+gaQ0aO+rY+OunaOULvaDvWbyHf1u9qp+OOPmz876gFS+o1NyRG39AIHX/J9LSlSIR5EkglQMN1QOfiV2SRumPfhIstF8a4sf6quXuAfvjACu734tr6qKLUhHJHY2CaFlc2i/DehTXU0jNIN33nw5HPeKHPm/d20mm3LKBDX3cAHcAYh+ds3acmlP0qbRXTbVpnv/WzR1ZpCWfW5qbY31kyc98JVKJAcrOCJbv64ZObZyyxfe9W3EmgtDuAmuYe+vz1c1ONU5Tw3XBEcuNG5Z5OLbmrPvSpSRFlSJWEitgeeVLKBB1E7n2H8jEqfbxKbpk6lWaWyMYl0+dPqiiU5O9nr5tLFQWimed9Vk4OqbfcCV8F3Uogf5Haape6MDkeQwdkFpwEAomwBiDbfVY4fkfXRUqwkuRaOqMms7YXaSaQmYhFKZ12t/XR1I0NsWGyfjKdrWfdXbpY42EsHZ7n0Ssb9vq+j3heMPysWoPwSu155q3DSy5YDkV3w4xtVO3foOcMJ+l5Xlzd3OLFlDW2KXSKK1J0r25omHhPnwjKbG3o0haWiLtPfr2w3txyrUdNMgiJ+v25Nbtjwwu/N2fr6Ia9ikVsHHk+5cODaOpF3fXpHCZmbYlX3vBSl3BimGUBzGx/jLQF7wRitwNT822h0xGawk1Ki0fiY5fu7Il1B5dy81+8o5n72YxPsYhIzzyRfScQf7iqyobAPTYi8YpHO87L6/dSQ2e/QgjqMvgpFBj5GLG44DnxTyQ39qa67tDgho2XqH606Kkoo3yfSVyZme3uR33G7B83gsZJ2c4Zk01IVmEO+IASCCTCVka402l5lP1OlIXIwq5QSG+j3F/2FayJHPEv0tIut9F8knv3r0tFL5eNpq13iH7211U0W9MmhCu8uG4PXTt16/jfaZVv0gaurd4h3CZlDwK19gzSfQtrqLk7+oJTHWzY3TEhQ0T/EzUpW72zjZ5eGe9GJc9UN5e6ZFFyf6UgC1f4Ot3BOTQfEMWE6EJKIKGNVn3Cjp7ilWfsXaHx1EI1CZ9M9W8Amih7nru2MtxcEuE+BS4ZftS82OU8VVHSDIfus3HVOMyUDLzKMllk+tTBkBLIi/icBmndBes6IvUvasxKKy9lNzZV5ll3z6+mx5bpW8OKoNo3xLnb9BQbXyZOAkm8E2eUtrymVYscurec0hjHZD2V6D4J9GSCy9EsYbLYoAMyC9zBgUwS7rzTWgTZNhqJnrymZ9nrF2tSRSHixIoDq9JI5HKqb0j/BXWr69roi8ceoT1cWyzeHnQnl1Y12JKkBHK5OjIIy/urx9dQR98QvbCWbfWuL+KJj5FriIjm89tn1qtFnbEyCnPB8xu1hmferZLOsNKzcHSFuA0jsZNAdjKhQAUtdSyVhbvU5o5X8q5HnvH7GPJokGSC8dPDge843jMjTizTKxtoV1sfnfPpd0q9z5wjc747HHIhw2qzxk4CabwViHevNpyW8LM3zdhWooRJm7Bizk+aXhC8/f9lkTQ3xMMo3wkkE6k/ggL76yQydtg8gQJ3PsYbVkyEItP2bO/p8L0n/uJIMfr09PnPbpATxDC6+jITigMdQfrHcv/9o1leBxGZXavubJG5lxnwAiUQSERlAWOKrE58RWDeMeFCsn0yRF8SzxmUhfSkaVmQFJeo5Znr9T5ssRUlbdrlbkspye0OjuLzZMx10fr6juiHhGH0LxxvZc7y1KK4LrdXXhcbPMg2L5fchoqKEte3m0jW6AawvvCUx0GZDZeY9pDUVmTbkr+OeZ559xIOVWkxNMmtmn7Zu2VM9rU/3X930Mf/6c30oX88VDm8pq5++sPf+Iwmwq7HWKl0YXNYaBM95tmktDyzqp4/IkOUKKpCfYy7OC0cF7+PaTe8PfvYCX3ZoUB1PSE7ArlgXKlikFEaVvD7qHyJOwkUDE9EqvSRLT+Z/j1GTy1NuJ+7b2GN5vC1BmctjigeXFzL/N71egvyC5RAQArbnZY//j8/v5EOmOSGZ0O9LnZKv2vuHqCfPrySvnfC2+lzxxwe+K0ipSzwT+gqCmxrHpc29/y4tn2dl6OuY8UdPoI+Y1OjlvBrGK62REirNl7+ymY65GDfsFpyDw/nYsbSYp2n3ZqypHdZYSKLy+7gdPbRLmxCps3ejmj/+gcfUEEdfZE/B7A1VGZp6JHJorF8Deev6TG3HNuCH35XwPv/9YLfDQzHn/KIvGQ8hXxv7hkgz/Powhcqhd4Li3bPAvbmGWsMDCvr2ek0lHiNpyNky8d0PyW1qR3zTtob9SJGOY4uy4TQkQZl+wfV+GWVT4rx2oLXq0lUvsS5NguPHy4TNzbq7ueKMSeBdNDRN0j7usTck2/e22lIGjlE1pw65o1R+eXqfhkvGRe/rIESCCTC7ijdafUtPYOpxZXU2ensDFlhzdm6j4iIpm9qpNqrTx//vlBIz0LfL1eU4kl0IyCv5EXJk8RYH8FrsZU2aYrV2T88/ln2ugxbFlE88aZZpx2tTty4LL7esUouMBfK1/OIhkeK9OOHVmgLc7KARQYrC755+yKl+HnbsQPZP868/XMbFp4nvqExUvToJw+vDCgVPAre02Ym/WZz9VuKdSMSTf26qjI/fPKlJHxNnYZMOAUiqtzTSY8s3SkYl3BU45TeCVQamAuKRzF3WukKHFfWMvMZVwxWXBg/XaG5e4AO5DUGZZS557G/Z6Ga7xWSY1DWN4vDlBhoRBRAXLoDSiDHsydN8UzUFX+QScYaLP70XLzLbF0Sm3EHVyabORLkrV8qJ6AEAsk42L4dFImI9Mol0rE2dg7Q6w6YpDF2PgoF9r0CvIukuMWZiXGlUHBrKHdJFh3wuphyZRFtmkJoNurSXElWtW/KnZJLeaMLlQ1L0/mhc+Ke9aKbvaWJBiUWtVpgZN6auvbSxzy38lnldA4L1TvFwiyvaS05iep5wTuBTFjtm263qxl1Qwua5OZO/9hJrdBFzeHXw6eMbSo8KgoF6h0UvxtSZb5TeicQI3z7B4GMnYDREWpcnZERO3xHiRfxOQ2yamhmor7w3hVVCP0riozk/jooW2ZOKHt13dtCpXUgKl9415X3L6pRlMosUXXeRBM2YZBpet2exilKB5pQ7kCeZhcogYAUtjfsXPCNaxrRTbralC5QC5wEipi1xV/kaI/YexwyMJS5Xu11bCybKAdrl69LWhamIS17Myk5ZlN7DlExq5adW2pffkzXWb3u4GRPAtnv0DzyqN+WAsgi+rKeP6CeweHkhyRi6B4oDZe1Ieh55g0vyt0qkjf5bCOE0hNf1c09dPnLm+jRZXV0zqffqRyv7PNE8gYQnkfUw6ijrOfCjN0HGIepOid2ukfg91ilTGhjmF+ESG6csS06PonweE8mADcJG2cRpTvfCpwEEog2zi1a2hSLHvUP8ynEo+9xCxLV1mPbWwbW7TYoFvXnjOlTV+mse+ViyaqyPQ1cWMcBOaAEAonIWoyXI1rvBNIWkl78ck2KcCnDf/dJuqQ9jiduQOdkZjFW3Dovm9eKo2L5CV66mYZFFOsEnz3yOJF0OUk6m6rL6eRBd90TCW9wpEhDnLf4anXhpy8oLna29NBnr5trJOwPXjSN+9kKU5ea7SerTUGX3KJbTyV1mvH6vfsvoP7LnO2SUjHilXinUJDrK+pae+kDAnXUzzVTt4x/ZinJiNxQPOpUGLlO1Gm10c/ups5dydKlUBh1ARt3r18cMmWsY77lUtX6tzsXK51KHe1LS79jwXnAy3nSLL8s5lm/xClbFUTKw+Ss0aV2LUPGxS9rUrpKHmSZNN0P8GIreiFrN9W4bGdyBH65KirYWiBXdQEVhUJe9C5OwjvxjKvaJk5u2KqOLlc1ZhnwZBQaEDcqm3NZcgcnfRJImwTy/H/2zjrOkqNa/KfvuMvOzsy67866u0t2N77ZuBJ3D0kICRCC5Yc7IY/Hw/UhD+fhBA08IEAguARIQgJxWZm5vz9m70x336rqcuk+Xz5h79zbXXXK5dQ55cOJxvhGLz1M/lB5nrU9vfjQD/8q/S7NDRYLWi8V/95EFvDMfTyd2mmB2xKIuLDw42Q3bYiLIrm5rUrdT0M8vGEoy0TK4oHHn4X7/033RuDrekYm85hurFVkEZVD9Hlfy8AyEQCc/q4fwg//9O+R70xbicbzPnkvnd5x3TQPPbEP/vzI00IKIJLUpHUeyUILgO3aLKQqbbP8jNwJpD3EJJd88CdawjHl/cHU0teHdo0UE7QEQqRw3ml52mfqHHd9VaTExaK5x+C/E4gVj/4MsL1/nRVf3rbTfTiRSsKVWOlFzc/uf4z4XLquG7kPC3iU2NkR23YHFzIq5Wg6P3S6FpFNp6fdRSGgWRVwvy/4rkpRy8wF/kE45V0u0zeadBHqRqsruatcocr2JcLxim8sRhBJ1UVdeWv7TiARrv3YPdzP+qJEkY2PuW7xoCxCwGU2RVGUUAABiMkjU8b3PfjkyGdZY1Qf9gTe/LXfwZu/9jupd9Ptnjc5PrnBU4F5+FHzvGSoXDZg4R7/HGaZyEo9fP+1VlFGCDQrRwhd/iKDlkBIJs4VPgR8lEk3vnasyTuByGXh65wtiiLqKZGHnthnWRpxpZSn2Qp/e/RZ+MT//c3d5eqeEi/eh5/cB1d8+KfE575870NebH742ueEis/ZqdUdnGRKfRjHTUhgrh25V9zJx2c3QtJGVRnKxg+CFL0PVVV8y74uWr9kNiBLPCcpSGFwW0dxPEP8zkylK3pdplFdnuXYJ7uZlreDZDZQzTP1eyoTgXHj6yG7LCpix8Unudaku4PzR2msgk1ZTbhm92G+rhNfmpMnYkgTqkIQQUsgRJKitvmszk7nIBnChI9qCcQruuUk2l4wBVCEWvjrv5+B6z7OfxKUhe6J5j33P+bF5PVvj9JdpXz2nn/AiildFqUh92Uu6+sfH37aXeSGUJocGy4LnRP3IUndb177RxP9je68UtlwF+Gv/3oGJo9pVrY60pGn5bL8pdzccfC44vNgPDIFtxU45XnZfslUjiYudC9FUptrzx7Qc9dBGcj54+uhKxo+9fsysrDquE9pS+OjaC7uESUtW9/xzd/DPkuH2Gjr5ixC3WyttJe49KQsoB3QZLmDQ0apiY1Phc4zRvNSyRb0hE6mwDUteNASCMmE4rrbKb6Ob3rdwXmayFjp00xkdUxWTSTf9p1AWRsipnzX+o7Nxcyxb/uuMwslkbr2u3+OuoswkT1cd1U479nzhc+5qXPvRXas8mHzMqSNFf77VjQGRnu9srGTEcyRb77r0PN+IOuKhxdZhahrdJWPmrJPYQQSfJHtmmf0c7yPolyBaRWyBa8hSyADYQ4OleFd3/kT/wum3TdKpDI9biXcJCnKI0JIY1cVh0T/xE/+5iDy6jr1tm/8gftt1WyPV2mRoHyYL8kwagkU2zsAfvdaLHdwITUBqptRTX1cfB4+NKR/Neeqn/MBk8NQ0P04hNUGkSRoCYRkYnPRwUsROh1f0xiXq4aiRubdFLTuOiFC9wm+Y0IxFvfHbRfJE38W2oXs3QKhnYb68Z//nf2QKRSKcf+g2d1knScF5UPyY5DTbmXjR7KY2BLxyX0HAUDtUMsVH/6pljwtg4U7gTyp067gNgIvJ/9Nfy8er5l8T9bbyOjhrKyQy2XyPV4hbA5X5P6fn/2d6zn6F+5Jr3+v/ujPYj/alSVk7vz2H+CVX7jPeryqQ4C6EmhYgG/c90/41E/Z7UFnvK4op/4FAPj8Lx6Az//igcRztAMarLlqHsZbnXfGVQhhTAgJkwd2Qy+qPLTBooJKICRIitDl+Drhi4tViiJiWfg6AZE1w5clqwxD21DXhe267cLlBIDf5RvCXV46xPnxXx7VEIoc/lpz6r1sV9qFkwfZY0IEU8nitgTiDUuhAERfVSnrr/zqIfmXEzKUE0t5E4eZfKjTMuiSmzdPSeOPits/4frI6dIrfQemc4hiG7IEMlCZ7//3s8zf9x0YhJd+9lfa46Uh5Q4u9c69/3hi9DcHB9t48alvOjA05EQBpANddwKd854fCb3n83ySB1nxdc5VXWKzbxgcKmsfFlwf/taNL8qL0LM1dPmLDLqDQzLJW8dvEp1Z9aG7/6IvMI0kF8W0O4E4NwIsV60oMn8SOE7WpF1Ukrw0RVYyTEzMQlg80TaebMQX+9Z8xAXiNV/+jWsRqOhUjEov7j1pl74sBnXBk61FnNeVwcKdQFx5rz9eX1BOmnRfIhgN5/PxU+glivtjXVzwvh9nPkNTnpnARTX9wA9S6x7jlnvisMYtm2075G7k4KA76VWVuTrdwYngy3xJlBGrzyz36DRLIFbnHlCWsNzB6e7mTNQV22tUWUyMGD4f6HSNz3UBYYNKICQTUgM/MFh2uong6waGzs2kD999v7awdBJPI21RrPPEsk5sKoAQOqz64WpjzgTx2uZb3ZPNE9v3WHna1XPxr6f3uxaBis5FomxYARctExN19qDALjfPPMR23vsyZ4t3wyYuTw5VoahLapV7q8oKclTy/e3f/L1kCKMk7wRKzXeVQ5eHZrwXwkF53nbx5q+rl58IOiyBEr/JiyKFJ92qMK6s8wHU57CqksvGH2pZV3Is0zMGJV9yogOyion2FQ/RZft1gV+rdwTRAyqBECme//F7uE6tmcLV8JN1t0i4kzR+qi/KrU60jg1GE3lpeyDX7w4uHxWM6YrFSHz+U6Z8tipDCBmFaEHnGk42rMefPaBPCEnM1Hn9ge5523fh6f0H+WLntEbRISVvGD50LeVy0hLIyEaJDwl1ilgGaLsT6NB7r/6SuvVl4sRz7Gq2KAJ48jl3fdZjz+yHJ5+r7gOMKVh9qMuGG5SM0pZtCWQ3017wyV9wP+tDcVYo2iayDkK1BKogux4OPd0ueGb/IDx3cNBY+K/4wq+Nha0K74FLX6qVLwekkOKBdwIh0nz11/90LQLigLh/3hLFrp53fm978LNtjIFDOxnbcx5XkyyR+vbHh58a+WxDXlIMPIstzwyaEEl0LqylT+970kH6IkcW3/n9I1zP8fQfqkkul4f7LN7NPD/yuEy18tBFqBtWusYc/rkf+TvpO4EA4NMCl6yzwyrDnx55GiZ1NSXK84lnD8DlH/qpljhkOP4d3yd+H8J+egQRPP7MAfjnk88JvujfhIOV3T4XhU+bjSKWrbpRvttLUXRb9575Aq87OBqhjqlpbLa/T/307/ApTeNhhZwUgxQmh6HQszUv7bOIoBIICRKVPucJgyf5itAVxifvVHdwnuYE7Q4jY2SefPJvgWsDZrYYqDqu5igPPbGP+9kf/PHfBiWphrQg4ckmnO/lA61KoJArRVl/nTZ2MF9hg736GTUhf/XAE7Dtdd/ievbPjzztxZwgnWTTLlNUnikK6XohXS3LZXjx//xS5HEqX773IfjyvQ/BYfP64Pa9C0e+f/d3/ywpnFlMtS3d4S6+7X+F3/ndQ2zvC8pIJJHVd9ocCn//0FPZD3nKwcGh7IcMobrucjWWhbrZOqIEklwPs92Hh5MnAYlKxIc5nCuiKDJW14KvF4HLX2TQHRySiZ8NXF6oY97yHY1yJLE5ITGpzGIxODQ6eafNpZ87wDfBt121SpHdg4VFnjQxsdyphLZ4siEtKQ6ebCqo3jJ36NwAD619mcZUbvDOL7hdtFkqti2v/Sbs45wTmCZ+EMTEYfSiNwWV9JcVZkyi7/HE9JVfPZS4N+qrv35IMBY75LnOPbPfnEsjALm+2hfLqxs+8XPXIkjj0hJIlR/9+VF4ah+fa1YSsu31vgefhB/+8V/S8bpGtsTzcidQSLKSyPM44xLcJ0JcgUogJBMfOyiVwejP/3pGnyApbObU+e9xcydT/ABXBGbSHFHuGtIQsoEw6YRywtw2bHcaJlz0aA/SKFbKmWjBhxQFvZZA2oKyjo/zGxo6lTu2y+zRZzy4/wnMK7HDqU1JdMkt2q9U3wnkl6ukEPo2U0r4ENLuAswXdVzeCaRjDLjyw/bdQt70yV/AyXf+AP7+2LPW41bh2QOD8IEf/AUeyJCbViwhzdFYsPrpEM7W5aMU5DDqDi7wjH3wCUEXr4g3oDs4BAmUu/9s131UBZ0TMtuDn2fe4AprVWH9TiAPpq++FTUpT0JyrYCoMaTRMCN0SyDd0ru+qP1bv82+r9F2n7jfofufCuWyA5ewCDdlBdeMom2O9/EQ+rYiK8BUkemrQ6gTvhOyJRAAwNfv+ycsnNAh9a5qyv9q8CCrCT5zzz/gM/f8A+pr2efOaXc1sd3BKQhmmTd+9XeuRVAjkMw2McOLjB15Bvjbo2EpdZH8gJZASCY+9vseigQAfuaVbqrm7gqJtr0RZd0dXBEqhASscjeSZR4Ug+AWlSEpYjEQorjrd9kXz+MWaj5AS6BhTMhuzB0c53M/+etj2WFZLrN9B8y6deKhDGUv+q93fPP3rkWoRlN94L+3qqwzWmNtLoS9alRKyCOTdaHmtk/V5I5v/cFZ3HgQwA37D7IPgtDvBGKsF5UkQkQIJa+xeSMIH2gJhGTiY8fv02Q2ga9y6SSW+e/+7p/UzPotn/CxPfnPtATyYksq//iwSSKiELQhrvscyaZcDkPOEEEl0CihKOu1lhnYPYTxXMYGkC18KOkv3+vn3TI6UL23St4SSOz5KzjdOQ0FoAVyrXQuGqGMFwgZl67oANTnSx//8f16BAmEALpgJEBE2iEqlpA8gkogJEh8cO9Ewle5dBJP4XOKlz3TcsvUeBtFdhUvWZOMok4smOb9BuLzYRHhgQhaKGqdzRsf+uFftYTz/h/8xZlrUh0YMTwMwD1TIS2BFNyN5R1dc1fRUNIb6rJylAXj/vp92S4TAfw4QJJFCEoJX9dGMlIFkN0Ig32eHEiQ5ZM//btrEYxAW1uw+uAQ+r68UOSsxmUvkkfQHRySCQ6ySBydJyNpVYtmFq4jPqvu4OxFFRSsfDHR3/jQhYnIYENcH/IkmyCEDJJ7/va4lnBe9OlfagknT5iaM2m9j8/2nUAebLwNWxYaTncYHasx+N3Bkb4rW7sTiBcfDpBkofN+tzg689TXZiEjVwiKQRK+KuJss++g6wMJZdxXIUBbmmNW+QH2HwiSL1AJhASJr5MCX+XSic5Fce4nFRkVQlQflZfcst1OfFi0i7qDk710ljuOAGrTh+++37nrDiTflMshtIRhdFsC2ewWfTh9XQZ5JQPCh2hrKqc+yxZPuWzmtK4Pc4cs/JfQ33yU6f1DnZJ4WgTWcT0WffXX/4R1t3/dqQxeUuA7gUwdfNVJKP0Hr7cXkb7fl+L57u//5VoEbjzJMoQBKoGQTHzs932UCcBfuXSiM4223YIB2B2YilAfZGBNvvKaZ76lK5QJPYIYR3NbCOWODrtKINenr4fBbo+MrrrAbQlEKQnZE/JlQ8caQjixb0rBojNUXxUnoln39L6DQdQJEr5sZLrGB6vUBx5/zrUI3kG1BGK9FGZTDJJQsvqfT+pvWxFEQSjqfCKU+lJkUAmEZBLofNcJoS4ORNDqIkJbSJzxWY4Q7wSiYL0c3LdLETeKZWNbWvE45MCJMJInjLSyALRAtvtE1fsDdTBs/eR+LMgzvLlbKYZ4cQy765OM11CxfuO+h80ErJEQqrRON9Iumf+SL8PBQNMSQj2xQQmnsEGB9dYPQimHaz92j5Fwce6I5A1UAiFBgp2xO/S6pMl3OereyM9LfrHvBNIfnw9rdhERrBRzTuoSghQFrXcCWW7+T+07aDdCRAh9lkB8AdGekr4TSO61TN7xrT8YClkfxu4g0xisr+7gZHjqOezLQmb3gn7XIiAEaD1EnvoOJEzw7COSR2pdC4CEAA7AvBQhp2xsREXDERnBJ0uGT/7k71BXUzxdvG0fzz4sIkRlMC2y+xxBEPcMWx9oVtZrDW0UvffxFQ/b9yAVEd7sHbUMGX2jrHArkKly9WHukIU5CfWF7MNBHBIyCrRwbpFLEkBVtkIR11whw+o7Qm2LcTzakmCSh7yOI9IfRuDX3lEIYG75D46ESCY+Thx9lAnAX7l04utizkey6sN9Dz4JL/3sr/jDU5THF6y75bMbHRGRNNvInyL0VQiSJ7S6Yi1o+/fVzaZrtOULZzAHBsnuAeUtgczkfAhuzEJoyyEo03gJNSl528SVJdTyyz2UgmHNe4bce5lVJpj6GIqcnIgmJy+eWGyBueU/qARCgsTXyayvculE52LOvjKgbPV0QgD7B/5hoFL4MHcTUgIVoB9BEB8oQ1l7/2DMPZPWsIrXyxQvxfbhzePKvSq+3wnkw9whC1MKFp3BDno6GZaRajCESkEgwrPZiMdQXYQy3vnuHx4xIYp1QmiZYfZ6mkArICSHoBIIycTHjj/QOXgu0HonEKV24Xibb2w3Xx9O8HjnDk4yAh/yEkF8xlQL0Xsfn76wQgHdwdHRdycQ33O6LYFMEYIFi/8S+nsgSqZ4A6gSRFAJjvgMrV2xrDGfzMH9XKHsdxR57Yfu4JA8gkogJEg+9dO/uxaBTAHGSHRJw0+RJ00sbGeLDxs5IhJYcQcn+577rEQQRJEyFG98Gk6zayn8RFe28CuBylXxDt8I5NfhhBCsPkKwPAzBrR4voaYlgKpsBcyGsPife/7hWgQEsP9AxLjn/sdci4BkUOtaAMR/fOz47/qdnybAHmaVdvRaApGJIDJ3ag0PcziHVbYm1tc+9GEiiqgv/vIB+NUDTxiURuXuBQTJEQouqKhBhtBIghBSL+UynoWnoc0SSPV92XHJUMGGsN8fQlP24SAOCZkeIYQ6gSChQVNmP/zkPsuSIHnm4OAQXPC+H8OgQD+ORkBIHkElEJIJLpv58XSdoxWt9xJYzrBy2a4OqAj1QQb7lkB24yMiIMPbvvEHc3IcAi2BEGQY7XcCBTBn8l9CMxTN+okfPfkimr9VdwJ5djghhPoSwp1A3iqBZNzBBdp7him1fkJo00UES8Vv8lI+3/rtw/CN3zws9A7ep4bkEXQHhyCIEDoXc6yQTM3Tbfp11b3wLcLaxcQC24dFuw8yxJG+E8izdCCICiouqEKmCGNJmjKY38gINV+9sQSSdgenGDEFLw6QZIAyyiMjVqhtvIDDHIIgmgi230ux/yD5PkIEKRqoBEIyyUvHb4MibCbpXMxh3RLD19OUolg/iedBtg3lZN6ZkyqIICNotwQKoI0UYa6SpmxDCxQo+u4EUgmprGAJZKZgQ5hzmbsTSF+4IeQjL6FakhSxz0eQEAjB3Vhe+g+Zg8AhlA+CiIJKICSTQOe7TihEXmlNZL4zLN+pk8e2BdjDT7n3Ke1bXfDN7Q6CuGDYBZVmi02toZmhEHOVKspGNzJC3RwGcCe773nmuXgAYE5GneEOemoKJJNGT5OCcILF5yf3//tZ1yIgBaAkodBBHRCSR1AJhCAaKcLk0oolkKERt2wuaCLaTz/mpILZ3li563eP2I2QgG8nYfNyqgtBVCnipl4Zwtjg1o3JNP/r6f3wi78/bi4Cg+izBFJ7V/pwQgHrcoUQxvIhbztZcbl8m8vxEqjY2vnJXx51LQJC4N3f/ZNrEZwQyn0zeek/SmjWgyAAgEoghIMQFhiIPXTWB6xZYuQlv1h1KC8TzTS+nXiWFsezdCCICmUoF1JZX8RmXC6bLZqT7vi+wdDNoqs+iO71px/H9YY4pvQrOoP1VgckQahKIGSYBx5/zrUICII44pkDg8LvlGTMhxDEc1AJhCAa8W2j1wS2kmgqGpuHQP748NNaw8tL/cpJMoTwLc2y4uRpMwdBAAzcCRTARnYIMurGdIr/+Ije8T5EVOqVkiXQyP8VD9/mFiR8VZxIuYML9H5HP0sAQZAQyMv+w0s/c69rERDEC1AJhGSSk37fCkXIKxvu4EzpaUIvn8DF5yKvafQtXaG3BQTRQbns7walUcrFUwSpKBnyjgt3cOVyuep5LB5xTPVfOjf9fD08IpPEwUA7kUKOcwiCaCEvvce/nt7vWgQE8QJUAiEIIoTehWFephV2eGa/uBmzj7BKPS+njdL4VtdlN4CLtnGM5B/dTfPAoP9txH8JzYD9Fxld465IKOl2UoayvBzlcmFvbw5hzuTb/EeFUNMSqNgIgnhAkfsPvEYIySOoBEIQRAid8wCqJZDBATeUSxjzTBEnk76l+dVf+o3Ue76lA0FUKEO4m3oqhLBxrBuS5QmiF5F6dXBoKKGUU7mzqdDu4FwLwIGvfayMUtjTpGQSqNgIgnhAkQ/Q4L4RkkdqXQuA+E+oE14XFCGvhjT6dWBNKkxsUg0ODcFvHnpSe7iIKAVoKCl83QQRJR+pQJBRfHVVZJKcdEdCvOQz98J9D+L4T0JXfbjqIz9TirOI9VIVnXPyOO///l+0hWVKRlWk3MF5mpYsiqj4R5Aw8F/JgN0HguQLVAIhiEaKcFLiwKC+W1Ev+cBPtIXFw7d++7DV+BAyOJkMFyw7JE+Uy+VCjNtpylC8towKIDrO2kA5/VHSTWnB6nIcU0n/8V8e1RZWoHoTIqEe6AlUbATJNaG4Gity9/HQE8/Be773Z9diIIhW0B0ckkkRN0hkKcIk+70aTwf+9d/PaAuLhzwtREOG1U7y2obyki4cD5C8kZe2KUIR04zQcVEfSFFivRQnhHmtr9YzMlIFqwTCuRuCeEeg3UmhQAUQkkdQCYRkggMU4gKsdvmliIvRUDcOqshJMhAEYHh+46urIpMUsQ9G6DhRApWTtVBFhiLX5xDcfPk6/5ERa0ifMwSrhCo3giDu8bQLRxBEElQCIYhGcIxEkGyYlkA5bUV52WfOSTIQZIS8tE0RymVsy8govoy7fkiB6MZbJZBEjRv0NC1ZhCm1v/zjsWddi4DkgJ//7TF45Kl9rsXI5FcPPOFaBARBNIJKICQTnDjyE8KJvBCIArgkEZGH1Ury2oTy0jfkJR0IUsGXDXAEcYUrd3DxeMtQlpajyMOSrwqWON4q2iXkCnUOFKrcvvKvp/e7FgHJATrvXjPJPfc/5loEBEE0gkogJBOcOPKDOaWHUC5KRBBeQtio4SEnyUCQEbzdoDQIzuuQOC5qA6kKytbLItfmEJpyXuY/AP7eb5RFjooAQRAEQRAFUAmEIEhhKKFyyQtYi9Hf/fMpe4JYJNB9gypykgwEGaGICpFhK4zipRuh4KgqJKzw0EWhFCHMLXztamTECiG/SaDFK4IgCIIgAKgEQjjAaSM/vi50QsREXkZoYuQFn7nn765FsE5e+obv/eFfrkVAEG2Uy/k6pc5LEdOM0HGyQUy0BJIL6u+PPgtP7juoJk+g4Oa+PDKK8FD7zkDFRhAEQRBEM7WuBUCQfIGzbJ9BFZAfHBgsXjvJy0bNr/FyUCRHXPOxn8GDjz/nWgzr4IYgEsfNnUDl1J1A8uPkZ+75hx6hAgTbsl1CVQKFKjeCIAiCIHpBJRCSCc4b+cG80kMEZtRpaAiEuAL7BgTxj/8L5FJe3ZQBj6wgo7ioC6e/64cwY2yre0ECZyhU/2QeIOUObki7GFbAWoIgCIIgCAAqgRAucOooQnN9DTyzf9C1GEFjqsZFxtRLCMIG799AEMQXsDtC4rgYn+79xxNw7z9GLUvL5bzYy9oF80wemWo/GGrnGajYCIIgCILoBe8EQhCNlAFgTGu9azGCx9gaCy2BEEe86H/udS0CgiDIIXBHEPGPUPfXXYJuvuwyGKjl1bMH8HAigiAIEjZ4qFYPqARCMsG2xk+5DFBbwmaliqnzoKgDQhAEQYpOGf3BITF8qAoqdwIVGVyjySOTdaEqgR4o4N13CIIgSL7AOY8ecLcayQTbGj+4gNWDqQ4e7wRCEARBig5aDyBxfKkOvsgREngqVh6ZvMO+E0EQBEGQkEElEIJo5Hu//xcuEDQwfEpZfz6WUAuEIAiCFJyDQ3hkBRnFh7pQLvshR2hgnsnzoIR1TKiWQAiCIAgSOjgC6wGVQEgmqNPg57bP/Qr+8q9nXIsRPKYUaagCQhAEQYrOEG5kInE8meijVYs4ePBMnh//5VHhd1AJhCAIEgZz+tpci4AgXoJKIARBvAMXtQiCIAhihoO4kYnE8KE24DVVcmBTtgsqgRAEQcIAHcAgCBlUAiGZ4Mk8xDa4xkIQBEEQMwwOlXFuh4zgTVXwRY6A8KbsCgIqgRAEQcIgQi1Q7sC1ix5qXQuA+A82NcQFJtZZuHZDEARBig5uZCJxfLgh6rP3/AP2Hxx0LUZw4IaIXdCKEtFFb1sD/PPJfa7FQJDcUkIdEIIQQUsgBEG8xIRLOHQzhyAIghQdVAIhcXyZGn353odcixAcJoru3Pf8yECo+QD7TgRBkDBAQ6D8gSOwHlAJhGTiy+IQKRYmFlpYlREEQZCic3DIB9sPxBdwnh8uQwbmyl+/75/aw8wLqARCdIEb1AhilhI2MgQhgkogJBPcKkBcYMTlAlZlBEEQpOCgVSwSB+tDuGDJ2WUQ2wqCIEgQoAoof+AQrAdUAiEI4iW//+dT2sNEhSaCIAhSdA4O4liIIHkAN0TsYsLyCikmEW5RI4hRIrQEQhAiqARCssH5LpITcO2GIAiCFJ3BoTJuHiMjoCVQuPzt0Wdci1Ao0BII0QXuTyOIWbCN5Q880K2HXCmB3va2t8HUqVOhsbERVq9eDXfffbdrkRAE8YgyLt4QBEGQgvPHR56CBx5/1rUYiCfg1Chc/vdXD7kWoVAMohUlgiBIEKAOCEHI5EYJ9NGPfhSuvfZaeMlLXgI/+clPYPHixbBr1y745z/xcktVcLqL5AWsywiSP3rbGlyLgCBB8chT++EAbmYih0BLIAThAy2BEF3gBjWCmAXdweUPHIL1kBsl0Otf/3q44IIL4JxzzoF58+bBHXfcAc3NzfDud7/btWjBg40NyQtYlxEkf2yY1eNaBARBkGDBuRGC8HEQ/UojCIIEAaqAEIRMLpRA+/fvh//7v/+DHTt2jHxXKpVgx44d8P3vf7/q+X379sETTzyR+A9BEARBkPDAy3URBEHkQUsgBOFjEJVAiCbQSsF/Tl892bUIiAIlbGMIQiQXSqBHHnkEBgcHoa+vL/F9X18fPPjgg1XPv+pVr4KOjo6R/yZNmmRL1CDBC7gQBEEQX8E5PoIgiDw4y0cQPlAJhCDF4bZjF7gWAVEB14cIQiQXSiBRbrrpJnj88cdH/rv//vtdi+Q1eEAQQRAE8RWc4yMIgsiDlkAIgiAIguSJEi4QcwdOV/VQ61oAHfT09EBNTQ089NBDie8feugh6O/vr3q+oaEBGhrwImkEQRAECR20BEIQBJFnaMi1BAiCIMUC567+g0UUNuguHEHI5MISqL6+HpYvXw5f+9rXRr4bGhqCr33ta7B27VqHkuUDVLgiCIIgvoKTfARBEHnKeLQSQRAEQRKgoi5sSrnY6Ubi4DUlesiFJRAAwLXXXgvPe97zYMWKFbBq1Sp44xvfCE8//TScc845rkVDEARBEMQQuEhDEASRB5fUCIIgdsG5q/9EWEhBg4cEEYRMbpRAJ598Mjz88MPw4he/GB588EFYsmQJfOlLX4K+vj7XogUPnhBEEARBfAUXaQiCIPLgnUAIgiAIguQJXB7mD5yu6iE3SiAAgMsvvxwuv/xy12LkDmxrCIIgiK/gJB9BEESeIZzoIwiCWAWtFBAEQRAXoKdEBEEQBEGCBZfRCMLmuKUTXIuAeAxa/CMIgiDIKHjALHxKWIi546l9B12LkAtQCYRkg2tDBEEQxFNwjo8gCCIPWgIhCILYBeeufoPFEz7YxvLHiXd837UIuQCVQEgmZdQCIQiCIJ6CLjUQhA22EIQF3gmEIAiCIEieQEug/PHXfz/jWoRcgEogBEG8oqaEAzaCIPxgl4EgGWAbQRigDghBEMQuOCz7TYQKhODBEkQQMqgEQjLBxSFiE9zQRRBEBFyoIQiCyIOWQAiCIHbBuavfYOmED7YxBCGDSiAEQbwCTXcRBEEQRB/oMhFhgTogBEEQBBkFtyPCB8sQQcigEgjJBBeHciye1OlahCBBJRCCICJgl4EgCCIPWgIhCILYBaeuCIIgiAtQCYRkgktDOV5+7ALXIgQJuoNDEEQEtHJAEDaoKEVYoA4IQRAEQUbBtUX41ODkF0GIoBIIQQxRg9oMKUqYbwiCCIBzfARhg00EYYGWQAiCIJbBgRlBjFJXi1vdCEICWwaSSRkXh4hF0B0cgiAiYI+BIAgiD07zEQRBECQGLi6Cp64GCxFBSKASCMkE14ZyoC5DDsw3BEFEQOtBBGGD4yrCAi2BEARB7ILDMoKYpa5UnK3uM9dMgUu3zHAthhWGhnDOqkpxWgaCIEHw2DMHXIuAIEhAxBfSuNmNINWgb3uEBS6nEQRB7BLhhBVBjFJXW5w2VoZyYdbA+w4OuRYheFAJhGSCBwQRBEEQb4mIHxEEQRAO0BIIQdyzcEKHaxEQBDmErvXE+pljNIWEiFJXU5yt7sEC6UUODhUosYYoTstAEMsURRuPIAjikriVA56sDIt549pdi1AIsFkgLFAHhCAIYhcclovB3qUTXYtQWIqkBCrKPH/N9G5oa6xzLUbwFKdlIArg6hBBEATxkwgtgYKlQO66EQRBEIRKUTbxEARBbFBXg50qgpDA5TeSSdYJwS1zxtoRJDDQBz+CIIh58E6gcClhgVkBsxlBEMRvTHTTaG3rLzgu+42u8sFydkehLIFcC4AERXFaBmKM9TN6XIuAIAiCFJSkJRBOg0MCS8sWmNMIgiBeY2C3uKaEfT+CIMWkSEogBBEBWwaSCTqDkwNPfiAIgpgnofjBfjco8A4nBEEQBDFDKcdKoG0Dva5FUAIPLfkNlk/4FMkdXBnwfkeEH1QCIZlkdSi4h4MgCIK4ooQ6oGDJ8f6UV+A8DUEQxG9MdNN5HmOnjGl2LQKCZILzL3egJRCCkMGWgSAIgiAZzOptdS0CQiO2wsLFVljgnUB2wFxGEKTIhHA3jonhMM9jbOiWGjkuGgTxgqIpgbBPQXgpVstApCijQzgpsB+W44KN0wAAoLWh1rEk9jhsXp9rEZAMuprrXYuAUIgSn7HnzeKYxeNdizBCnjeoEARBAHBjxgdaG2qhqa7GtRhMTFSTmhxXvhwnDfEArF/hU18wJRCC8IItA0EQr7h6x2z406uOgC9etdG1KNZorvd7YYogPoMLNTEOX9APcz05FY1lZ4ci5POdZy53LQKCEEFltwdEADV59o1GoYQ7PQjiFDyc5o7aAt0JhCAi4NQAyST7TiDsYElgtshTtDpVrNQiiF7iC6yCdR3S+JJNuDmK6KKIG7xIGGDVdE8E/s8PTKx98jzGhp6yoq11EcQml2+dWTh3cEUAlap6wJaBZILO4BCbFHFOnOdFGm5+IKaJNx+sbtlEkT/9LJ5StkMRFk2+1GkkfJZN7tQaHm72uicqqCVQEdMc58iF41yLgARKsVtO2NTXluD5u+bken8lTdahfQSJg8tvRJnidK+ITQo0bue6EeVlAYp3o/lL4k6gQnUc8viyMPJFjrxThGzGto/o4sJN07WGl5NpUNCUosj7+3FMSMcaY28+Yq6BGO3BVZweF7nHoiEa8bzbyTWY9whCBpVASCZljarlw+b1aQvLf/I/8jTWYReigzxvhOZlYw5P2PhLKbbDlo/aZpoIF0ZI7sjzOCrLptljXYsQJINDesMrgiWe75SiKDFX8BETXRgryccuHa8/Qs/wu8QRn8nL+rWIRKl/EQRJgju4iDJ5HCNv2D3HtQhBcMW2WdrDrCyWizT58nxdqkSe04Z4CNa3TKLIn2zCjXs7FCGXi5BGUVZN7YIdc4t0+EoPTzx3QGt4OA9yTxQVsxxYa6nawP2xhr5ODFx8JGCmjmmGK7bNdC2GcbCNIQiZsEd/BDHETg0WS0UYeIqQRhvkeSM0D2nLQRJyDd4JJIEnlbqIm3IuCH2zjIc8jDW6iSK0+pPhsWc0K4EsdHRomZ+N/+7g7Mrne35kweUNzuM0eiwaUgDyXP1G21aeU5kGXZYg/OCMEckkyw2SSPcaTlccjqQuQRcXevBtkbJoYoe2sEJfZAIA/OjmHa5FQBhgPyRGBP6McLhxHz5b5vjhcgyrEhnMFnEef1a3JZDZUtgxtxfqanBJzyIKwB2c9cbqeXbooABJRAyBdSd8cF6IIGRwxogghijCuGNiPVUZsIuQfxV8m6RM7GqCL1y5UUtYvqVNlCgC6GltcC0GwiD0OuYCX/LMNwU4IsY7z1wO2wZ6XYsBAP7UaZ+IIswXGU5aMVFreKbLYHCoXKg5swylCKDGcyWQbek8z45sOOT3uf/DA0yIU3xuHIqMXC3gWA5EPzmutlZBJRCSyba57AW+yCZOURvuzN5W1yIYoajlqRsfF2LjOhq1hOP9yUtO0MjaHhtn9Qg972MVu2bHbNciUIkif7YefCw7hJ+pY1o8qku+SOIP0aH/IXxsnTMW7nnJTpg+Vu+c3XTdPDhUxjlKBhH430eYEK/McOfhe34gCIKogAfNEIQMKoGQTNob66C9sda1GFbRNWacv2EazOxthTPXTNEToGeYXEAUadz2bSEWgb57BHxLmygV6VkLaUQv7U11Qs/HNzl9mfD7rNyIwKd88kOOvGMqm13X8/jJfqxJ1aAlkBilKIIOwfGHL1ztQSbA6Uk2URQ576+ysK2wDX385ckvn1MYePYDAMCSSZ2uRTCHpvIxPd9eMKFd6r0cVD8qRfQqgyAioBII4YK1vhAZ20I5kahDyiiK4Jaj5sFXr90MzfU1GkJE8oqPrUJXW53Q2aQlHKQ4iG5M+LiQ9lGmOL6I53s+5QVTc69SyR8tQ16sTnUSgvWDT5jKKtObgOgOLpsI/HcHZ5vQuwYe+X058ILYYcWULtciIB6BzR9ByKASCFEmj/0rThr5MGoJlMuaRca7+qZRnDedskRfYEghUNmn8aUpedemY/hkHYAb1GHjuvziseP+bjVRBPmcpBvDkLLUwp1AaAzEZtgSyO/GUDKwK8OqF77nhw58TqHPsiHhILtfkufmX0lantOYBi2CERFQCYRYpUidcTypPm8IqmAiWTnNKia+pTka+T91JnU36wkIKQzilkCeNaAA8EXJjkVnB1P5XONVAdJluX7XHGOxbh9g35vpkpJH938VGdOlcHBoyGj4eSCK9Ck9jPWnJrRADEJXnHOJH3gafce3fWff5AEwWwUv3TLDYOjhgzMgBCGDSiBEHa82AfSQvxSZoQinyGzgYz7qEsm/lMnh48Iir4jWmYjyGSHjk3WAj31fHjGVy1HkTVVibmiev3GasXjnT+gwFrYOUEnOT6h3Z62Y2u1NO/SVUqTPHZypvK6xXIjYNzgG899rdJbOxy5aqzG0UbYpHELJs4JkpG/LbxIRRAlUAiF8FGwHVMe8LB5GXscgI5ZAh3KrSHNj307j6VwY4iITEUW0zmAVEyPyaOkn2/ftWTJeryCIFD7dscHqN0zWeL+soZJEaAkkhDllqdlSuHrHLKPh54EIIm33hpk6vGC7P/Wo+5aC604gj3tAfyVDAPT226umdWsLK47H0w8vwOwxB9a9sEElEMIFSwck0geE0mG4mjROGROW6yzc4NeDj6fhdUkU+iKzAvratYdoc/Cx/fiOL1kmW3bjOpvgeWunaJYmv5izcPCkIgF7rIkigLefvsxIvDWOV1LtjbXU3yLwp62HgLF2YriONNXVmI0gB5RK+ixtogjg6MX6DyKY6E9Zc9cirOEKkEQkRtnDxZqPdbAMfsqli9E7gXKcSARRAJVACELA1ZixZ8kENxFL1tmTXQAA5IVJREFUYjKbijRs+zZJGd440uU73a+0If4jqjjEKiaIwN0IEzqbzIoiWXg6+yhEnlKJ3f7GtjXYk4UhSCmKYExLvZl4PT7pUPLIXV8ImDoAZlpZin1hNhFE+u4EggjmjmvTElacWgP+4PJcNXy28uEhz2WD2AIrEQvMHXNg3oYNKoEQZUQmMaFP2ESIpzWvEz0TC9u85hUL39LsmzxIsRAdJxJ3AmHlzcQn6wBf5Mg7ptpFliu0mWNbjcQrikmloe/u4Ab9OxiNIPaJ9Clsh+9C09/ufbKsDAE+d3AIIkcozVFGzghy3jZynTgyto3gcL0dNqgEQhBEGqP9v+GxZWavH5tTAH66TPNQJKfgPpo9RF3n+DgR9VCkBL4cyPCx78sjprI5a9OybLHnZMkSRebapE/3IpF4dv+gaxGCwVQdGRwy3w58HAd9IgJ9400UmRm7TPQlHnrHsorPzcJj0YLFx+pucr4dRdjGWfjc/kMHszZsUAmEcMHysSo0uAXSY+gYNOJh5HUQMrEIspVVHU11lmLKxpcN2Qo+WQogRUSs8sU3f7HaZhNFkTftW3bTyxf580RrA/1uGRqlUuTN+MVSHkeROSl93nyPIoDnDqASiJeQlUA+3oXhE6Uo0qZkicDMGGrCqrDWcyW1Cjwp82V8QhDf8HjqoszInUDY/hGECCqBEC5waYGQCHlw9WnBnOeJWG7wqL7kHdE9ixzvcRQA+cLDflMAjryqrxVfEvjU9rLmI8YsgTzKgzQRADyz/6BrMYIh5DktwiYSuAvPZlhxTFgCHTavT3uYIeHzPMHnAwRIGMge2szTivbwBf1V3z3x3PC8h5Y303paTIpUCLD7ChtUAiHKiN0JFAauJmahDcoms6lIi3HfUjp8ato3qexeMo64Q3RzJWEJ5F+19Q6R+1FMK8t9UiIUnSGJsvbJFVq2KIbuBPIoD9JEUQTPHhhyLUY4GCjKvUsnwOTuZv0BpyjKhvKCCe1S7/VqnD+aurvHRF9SX1uCj164Rnu4XhB4nQ9bej/ROWXNe/n4MmZ8+rL1Su+/+oRF1N9oKfzG87coxekjNt0vu8STahs8qARCEAK6+xfuDfXArA1MTCBsTEo6m+u8mfz4io/Z46FIiAFE90H8rKseCnWI4Uut/UB2My0CPxXV3sIxtZCZfpQ8ci1IkuOc9VPh+l1zqL/rIH7Z/NU7ZpmJRBJ0B+eWlVO74PUnLzGmNCgak7ub4b8vXif0zh1nLIcjF42DK7fra5vD9wvpL9OSIYVykdc7BU66HQLbtxBBV7sxemBW0tWty2Zh9eBMIO3/go3TXIsgDK7BwgaVQIgyIl1AkSeiecRkaZqsKqKLSON41i78ksYP8rvM8Q/RcSK5GYO1lwdfuhyPjShyBU//JWMJ5NPmNqnfeMnR8+GyrTMBwODp/cSdZPbzg9VfRhDBs/tRCcSLqQNgHjWToJHJx90L+uFtpy2DtkaN94BGZsrUxJ1AAPmtf3zJ8jfxeS0XxC4y61OXa9p3nrHcWlyhKCpwfxSxDSqBEC5cHvQ4Z/1U63Hq6IvjYeS1b2ddxOwzM3tbvboTyDs8ra95bUdIEtFyTp4qw3adRQQR94a46dxUWfiY7A+m58xf+BDPxfQShe2TK7SsOs0rqehF6q7dUbLmMlEEsGl2j0Vp/OayrTPgmh2zqb9r34iJKuHqDRZxiylLIFP9aV6rH7YrD/CsEIq2AvAr9/lIV5lQDxQjSMgEuoWL2IbmZ3L1tG6jHeyk7ia4SqMJPy+hnBxwjYl8Mp3zG2bihggPOHFCXCHaryTrKlZcHnzZu/exn9kxtxeOWzrBtRha4dkYkdk8KXnkWjBLDt66tmb6GNg1n/8y9bgLJ1/yokIEAC8+er5rMbxh6aQuuIrhsk+/JVDlX7s1g+Va5rUnLlYOf0Jnk3IYMvjSvkolM24wTSiWIkNWS6Hgc9pzsdeQ4wOVukrHdCnLhu+qbWg/a8G0hg4Dn/spJJ+gEgiRprm+Bu48a4XQO6H0cXosgcQDCW0qZdTPraFwl07uHA4fR1wqsguTEH3a8pLjdY53iCoofHJJVcFDkUaIIn8sOGTd35i918iPvNEJT/8l4w7O9Tgajz7bEohf1uOXTeR+tia2kvKt3ZeiCFobamFyd7NrUYJA/+aUmXCz6G5poP7W0aTuFm3++HbobNboXo2TyJM7yCIw0/fV4K6MEDx9ugfVBUGM4UN/KIpN5afrOSovQSqEAxQZGQWnG4g0Ry8aDx1NdUY7Lrz82Sx1NWp5a2JwNT1eV4L3yh2cT7IcQqbdHblovAFJRsG+oBiI9gFFcL2pkwgAajl9eerumv7jrBWwcdaoNaaP5VXK4clpmjV3HBklkE9klZmpMk26g/Os4ngmjmt8Kx5TGJ9HB5qP+i56NzMbrTHmYzvQAss7WCz6CXweI4pKT+RsTZ12B6coRmMtvd8MdaySoWBVH1EElUCIOgIdbJE6Yxlsd+CqLh1MHiZPL9bef94qPScPsRJmIus+Io85W6mHPJuoiB5EN2p8tATynZIjS6D1M8ckysvHsvPFSkonPHML2fmHL0VoWo73nruK+L3rOpwHVyi8rJnebTR83flVqRuu60icUFwc+UwEpu4E0h4kAPjTR+uGJ115TTsSDlgHzfCqvQvhx7fsgFpGxxlK1mMdQWyDSiCEC9LmgLUOy0HHqEMZExfbu9Ohh1CVy+YpksndzdBSX6sczoiPdo/KxDf1Qmj+hRGA+hz5ERGtR/E9e1+qoC9yEIkAFI1ApaktlVKWW5Lu4MCOZUde4LF8NWEJZPNgS6Y7OM5iLVNU/r1tdBdbonHkkXrGaVxdTOlu4Xpu8aRO4vfZ1mJ6C9CmO7jI4jgYah+pTQEWRVBr4LCArHtUFkX3p+Fz6v2VDAEIYzxXkTGE9LHobWuAnlb2vCyUNAYiZoIQZUZGyc+uEeIMkU5AtMMIpfMOFdXsNXFgurIITwcdgR5f4D7WKR9NeGWyyefFVt5p1+Dn3xdE65FPCt1Q4HU7o9sCLu2C1Eejm2FLSA8FU4CnFA8OiZX19bvmZD5jMxszN/gNjU8+V5WR+ZQFGdsb1Q/pZMGrqJTtVzwuSm2EPI/2pXyiCOCoxeNgWg+fUpIXUxa6eRvPKvCkyuek+yxbqOidsWIBmYC0vyMVDtdrYZQh9gWIbVAJhHBBGlRtdVihdowyp/JsuJzaOa9v9A/FvJUpm/M2TFOLVBEfTzD65mpMdhM0D37oj1w0znwkmtk+0Av+2ZPJI7oP4mOb9pkIImcXUKf7FbVTjGbKPZT6JLIBWS4DtGVs0oseRqi4zfNF+a/NEoiSD7T34+l3kRcsKy8flawqCOopq8gsH8H8uvmIuVzxhdKn8DJ8KMtBmjzJxggAmutr4evXbdYargnrIgBvsk07OWtWSG7xc3EcevPhmW+Z7iOOWNivJRxf5tEiYP8bNqgEQhSonDDk7wWkNpaF31DHt015nejstGXK80VHzZOMS9MJRvUgtJMXS6A842MZVbhg03Sv5RNFdMMs4Q4OK24mUeTm3pvTVk8ejj/2nfTmqMGCztvGOcDwnOYjF66BdTPGaAvTt2zKdvWlGD7nhoOpjVwZWGk+ZvF4zf2A+XTzuDUEsFc39y6bwJbjkCC2awSr3LV0nQ6ruA+bZaNu/vTKYs4SyEiwQeA66dPH0g9r+FCXEcQ2Og+DZcZlLmgAADhxxSQt4RS5j0bcgEogRBmT/VYEbszY9dwJpFfubQO9sHhih9YwVTFa9qnAm+prjITrA77t3+PCZJTKplOelCy+kwdLIJJIk7ubrcVfW4rgKIZVG+/mr856//yd1e7DVMrOVKmb2ojTjUjWDZUB5o/vgA9dsMacQI7JGrdsuIOLAOAzl28wEg89fnq6WGm+ePMMeOupS02IZAze7oiaJ5mGQGJ1hHd94uEQpYSr5KjGq6scTM05jNwJFOV3Ts/T/ly7wsvTfZ0hULS1WpHvBOLp1ky3f11jgY5QbFf9vI4rRQFHJoQPQs9S6fdaGvRsztPIQxejY4zoa2+AN52ivmBPui5Rw+bma2uDHn/zrhcEJHybtMpaXXmYteJ4VhY8RBCk2HQEK1JyE9bfSmizfczsbYW3nrYMZvW2VssBZjabsiDFaFOMPUvGcz2nY1xrrCvB+RumwZrp3cph0RCRkteCQij+igAOm1w8WVm6O2VLIK4NB4B549vVItJIliVKf0ej9rhMMnWM3jtY0oimIevxyFEjYY2DOsZIH+fRPOiS2lTqTVnoBlpcuaChFrfafOTG3QOZz2C7CR/TRRjImTEEqQJHJkSaSr/X3sh/IblMX5m3QZhlGs7ep4m0X+iqupAza8KbDLyhtuT1Bq8KProflHPdSH7ni1dtVBXHGumyCGGzI4oiI5u8rhCdVLtwbSaDTSlZGw9RFEFNyd30L96mZBUu0cj/8XNTxv0dFUqSSvA4jXU1cMtR82DlVHNKIBGGhvSHyTMem+6W4sFn9dXKVgQc34c2R1k6uSvTpRkvplM+b1w7HK7ofz9TaaMUOj28AKYRQkSQjwN6LNoYB89MzQtDmcsg/NTnXAkU6srjki0zrMVlc6/E1rsq2FTGG7+rWFdqApwkuBI5tHm2r+R7ZEKs0CagBJLByUW7GsKgnU4/deVkqXhNdLYhWQLpWnT56DrKt1m07ms65o7TczLaRsltndNrIRaEhWif72Obdj1JbahlW+jyeigx3TX5uOe1afZY5TBs6GRF6v1gjpTEcYZi6dJlCSSaVcmDNWLvmoZVRyo/nbV2qnC4H794LbzrrBWSUslx7oZp3vUXvPdQ2RabKZfmw2Q2sXko55wN0xhymIlThxLo5XsWwJEpV7C+9Us2cZ32vCuBfMPHQ5WIO3SuxXbO66ty76hrTuLb3IaHAEVGYuDIhHBBGlQrE6u2RgE3XaKuFiI91i8+ITvJ13ZyQueGheWy0W0J5Qt5mbL6mLeiHL9sIrz7bLubW6rkId/jiHaRPm/CxrG5gdVQx7IEcnPvDSn5KnkifH9Hxu9funoj/NfZK+HIhfS7lHhxYZnH2mwaGsqWZ0Jnk1B8rja448SzOdMSyGPLZ1PwyCzTFayc2g075vWJv+iY7DoiGB5n7Q+x7rBwmRxbeekijToOtKya1g1rpiUtUF0fSjEFLbviblhdp511JxAqLPwmhFYT4p1AuuJljecV988603jqqslV91PrWte57qdkCMFTCkIHlUCINJUOq73JrCWQa6StIijfy+696brcM3knkFp4oguWDpG6Ymhs8XHI8s+Vl6yi0mzu2phwlEoRbBuo3tzyrYTS2JBvXEejlVONosXsoyUQCZtSVtzB0epFrSfHznwquv72Rtg60Dt8+ESxtGy0x3Te/fCm7dRnhzjGmCljmuFLV2+E/nZ998SY5oiYe7BMqwzOMMtQplgD0UKIzal8qtAwOiaT5Kp8Res/v3z1JrG4rHhFof9455nL1eMWPqnG/rmSt0ouezRXKR3BlRwd0FM+tyYgNOtRU1N2HZZApBA865a0QWtXiXUuWgIp8fXrNsMJyye6FsMJ2sY0PcHkFt1t9BOXrIX/d8IivYECAETJ/ZpSFKYFjy4OCviZTlunIu4Je2RCrMGa8HY21UF7Yy2XRZDMQsjFBC7eyevYLJO5h2fBhHa444zRRa2PpwREJfoBY5OKRaVu6cgB1wsCEr7pgHS7g8sD/inqRrGV7cumdEGdhRmv6EZqfBMzx1VQiIY6uju4CABqHDZWXf24/s1RjQFa6C7S8na11FOfHeSQZ3CoDAP97dDTRg/HF9562lL47gu2wbyYq9EsZbApBU3S9a9f8CSZ9Mzk7mbobHZzwGvG2Fap93gOGWVlh7AlEKfiUem0tsRzxpWRgZ8g54rLQSJN3QmU57k5CZ/Se/Fm+t0zHi8rRpg+thXGd4RzMCSEPNXJ8AHhYkJL9/Ip3SMusXX2BemgfnHrLm1eFXTIabvu7zvIrwRaOqnTnCCIFKgEQqQZOUVYiuBHt+yAu1+4Q0u4k7pHXZJE4F75IX3KnPIaa7xIuDaBCKb2NI/+bWLTSzE80bxJm9GyiAcdV4aJ8KWrN1aH6+F0yda4Pbm7OfshBfzL2eJgY/Jnq3zFLYHMyKECMQ0W5WxgnD515g6OkAFWFy2ZO8Cxj4rZ48ISiAWPJdAgh8s4shz261J9TQkmdDbBUGLOxIbbEoiSDbIKFZfwiEPaeI4idxaWTQwFNot4PZSVXNwdnJlwVWFF55u1mk18T7mOwxnpIPJc3lx9snkxiLQ11sLPb90Jiyd2OpJAIzmuQ6EzU/LQhEts7sPojCuKosTcvqWhVtv6M5QW9oUrR/fViqZwzRuoBEKkiXdYDbU1XBv8MvMI13MPHQvhRAiS4WnLBo35aWsfceTuAcG8I12OLnWXlWFsDaS1NXz5F8pkBBnGdR+pG9E+N5RNDptSkvq+OLwWrj5P8kModVkZF0/sgO0DvdpcyfDcCTR4qLBDca8IkKyfWafoVZNFez3ieMYVrDRXNkdo5S1qlaBrs4W1llAuQ9vKmMrcVckdnPi7pufmIfURsrDdwZkZGEu6dmVSwvt4+M0Wzu49AYD2xjp2PbImDeISU2uU9TPHQC3jzqksfFk7yfZPfhzM8ccSyAahu7dERsGSRLhwOVFx0S+KbCyIIhKciYm7zhBNniY3FXJl0vPyPQsMxSBOXi4HNe6BJJBJkgtsuKuztWAQjSXeDfmyqHHNyJ1AxHoRObEEGok9FrVsvZVyLZvxjs6qU0mXbKt877mr4D/PXsl8RqSu81j5VBRFvOG6VBBWoh6MCZGpBLIwm/Sv/4li/0+Glm2uXEY2U5RAdlyy6j6AECX+kUHmVZZcOkrVt1puAlYa/Z6xky37QmUMw81pCMnyb0zIN7Rh4vpdc2D7QK9QWL4rT4ugjFdFuzu4VP3SZgkUSFkGIibCASqBEGmM+VdP+GRx3zHKdvC0yYPsoG0iH1TDNOW/Ok3EsZFBfo/+3cSuZrj16HkqYmnDt9P28tUi7NnBdYfN5nru9NWTDUsiSmTH/RTY6Y9LUQTvOH0Z9/OuxwhebMrZUMee3um4604YQpQqfZ/JC9NVg1Ztj7o3H3g8vVUUKpwGoyO4bH1xC6cspYW6FQk5gIQbMs+6Ir6TspS5qqMVIssdnGr26lYEZ6qA1HVAXnpQGA7ffmWPLG7Lsi2BzMRpalPXs25JiPUze4TfkbmH1wmerf1oeJyDiAKuylVXk+QZDfS6g6v+zidFnI0Dxf6kFlEFlUAIF7pO4EmdaNMSszwqprYVeC8OTnfg1b6dlUXROiG2NfhJX8tEeM+j8TqB6p5s/C4tGY5fNnHks0nTbJ+5Yvss6m/xLvDGwwcsSMNP6PmeJooADl84Dk5ZOYnreR/uBNqzZDxcvYNefwD4x7KrGPWQl4o7OKIdUCTSd5tdVOgMff74do2hqVHpL0xWTZF6z3cnUCVcfVKbXpLGLYH0WrdVS04LXafyUAa2y7fs90jlHYGEOzhNiW9pUHfVq/kqT+l45vS1HXrObs1gWgLpWEc4WpmF5g7QBVXrRsJ3ecHnO4F4xr68eIFA2Jiug6G3b5Pyy4S9fEoX9bd0i9U1Xw6lDH1SeiFqoBII8R7X/Y1sh0dbQDPDC+xyd9nT5K87cXHmM8RFrJbFq5/Uujp2e4iLNk9XDiOet9PHtsB7zqG7MzpzzRTx8D0pPJdiPG/tFLh484zqH2z0HZYSLnwnkAet+uz10+DqHXyWZDZoYPhtltngNYXs+ZIoqi73jbPGKsmi06Kjsrkj3Swr8TMCEJGRxx3c4NCwFohXmeLDBhZPuirw5pdSqhwMUqw2xNOX0orb1WJ/6eRO5TBoeZKVJHFLIPYLl22deeg5eeRcX5rFRtU4d/007mfbGmthoL9Na/wsRRqPUt0lZLVumLBymtY2fJgTFgXfmgJLHFFRfVlzZqEyj3aBrmhNKYFvPXo+JSxCzxpIHdFF0dKbZ1AJhEhjw0XB8Akm8kstjMtjdZJWdNx55nJYMqkz872kaxJOU6AMfDNrl91IXDixQ+h52VSTB2y/8hBg2NJOdVPWtMkz33ujL165bRZsmUP3v3zTEX5Z04RCW2MdvCBliRRBMF4luKhUI96FjQ9NmkcEXjn1WHyyf3fhDm5UptG4bSoSsiyatdqReNYg+SyBhp/hrRoj1k4O2l8lbjElkOIYS3md19LbBSOyMc7U0JQ9LhTFF22aDqesnAz/7/iFxN99m79lidN0aJ0Sf+7VJywSjERQKGDLpWOuaKMYRKufzbphSgmkIw2kEDxrNnbxOO2+zRNohFR/VD3XXH5IcQ/gddXJFSYtd3XuVUZRdf3SZgkUSG2LIILFh/ZAJ3SqeaBB3IJKIIQL3+YpvW0N1uJKL0Smj21lWjiMvEdpXSIDRkKNpGl80DmZk77fSNMzmWEQAvHxEvkyANSKXsQggfHToULPypxu9aO8ioqt3Be2BPKgWlS77iSdxeUTVKaep+/RGAmDMHhHUcRv7WF48Ld5J5CAvkCZSlTSBxi4Tjjyh86zaVnJH1dWYnfdsFX4HSElEO+DNCsSHv/zHvRFcWb3ZVtH1BOsBqMoyrxjqeodoafJnLN+GtSUIjhx+SR40ylLhOrE1DHNo7LQNnEywjA1x4iHOm+cmNtKXoniY455Ky7zFd21tSorC0X6HaE4Jd7hySfPuiVt6B4nteLbxknB4VUOXbyF4GnBU1QO4pTL+e0XksilkuRNwaSC3be5I40oAnjP2SvhdScuhhc7ulc7lLzyHVQCIdK43sQ1Ob+KzxVIm2WdzfUjn2f2thLDoE3MXfddOuOXXaQJW4QdekGL7B6OHuWy+sn8eLKm97SQ4+ENSzA+1nci74eCTeXh609aDD984XbmM1EUabu3LSseG6ybMUboeR+Ug64t8ZoFLGMjAFg7XSyPTaGz1mblW5YiJGnRoVie5cQ/CsHQQxDpgw95emMyaglkvz3N6WuDSd3N2Q+mEDmRbypZWuuNRm46fIArT+sp916K3rGkxYohGo372CUTEvKXoXpu0tlcN/K5t70RPnv5BvjG87coy8GDSPbYblOs2HSIUorMz+Fo9UmtnokcwqM/a/NAQRZTxzTDRZtG3Tmn8yeK/DnwZotEn+xx0j2qRoXAxjqJhM910Am68oNHCSwZ13du3AbTCHspxu4E0hKKeaIIoKulHo5fPlFo3RmK1WORQCUQwgWp8doY1FgTV1sdSnpzPi3SJZtnwI27q11bxQeG+DsiV79UnS7nf9U42wZ6jZ7UM7ZhYyZYJcpQhhqNdwKtnNot/I4WyyvDuetyIu3q/os108dAX3ujk7hJmC6Cr123GWZxnF6PE286znxca1qMyCpnGtOWQBlxTR/bCl+6euPI32lLIhG+df0WmN1HPgyRkIkkm+RAHoF4Xcw6va33kIpaf8GliBd4b1DIHRynlVglTidtbjh2MUsgfQctdIarCk2uLLfFlfdIlkCuEK1Lm1L3gC2c2EHcuBmNQEIoCjWliF9ehXhtuN72LXwAspJNRJlx9Y5ZcM+Ld0rHz4pqyJQlkGS+pu/R8nntaJsipz1U/veaTfAaUbeZGZTLAOdtGFaWbp1Dvz+yKPXFJ+WwyTmUbMhj2xpgTXo9RghM1zaYlqIo29iHie1tFqa15BN/Zv5IIeDp5Hy4bDhO1mnIUglg/vhq9w60jRTWBks58TmZD7o6W12D/ltOXaqgBBI9YVr5V+69rO9cUy4D1Cm6g4u/TdMnce9XcGQScQNS4PSdj+XAwtUplmo3Y4Rn7IhiPJ6W+hqYMTZbmZDGx4mojERnrZ0CHzh/tdS7LQ1pd3B0KnUovlmafr8CT7WfMqYFulvqsx+UDF8XWW1Y5+nhETcdasGwERCSZ9OyYlXjwguTbH6bsgQK7aJlEsnFOh2iOzjG85cadJdjqy8/cflE5TCiKLIir5TXBUZFDOHAD4CEW9jU39PHtkJHzFIMQKx9sh7lUarLIJOvPJL41C+J4sp6wwahpM32HHt2Xxu0NtRqD3fDrB744Qu3w7uel+3SH8AfJQkAwKv2LoQPnLdaW3guq562/SwuF70qcWXvw+mqI7ryxPQeqj8tAlEFlUBIkJTBbEcXDzvtFz3dAZbL5Al2XEHC22lmXlwt2fu2N+qfTJUkfMZXEHYHJxULLSz/hrAy6PV/7tqXOg8y5XDT4dUWdy5wmbu1FA2flfm85YTz9vHJe74MCWOBvvZGrtPlNaUIJnc3J9J97WFzEs9UwmDlYLwNqro04FlQkhZLShdsZ4zNWuMSpJz6V5RKXrFEFikxnrRXrGp4x49RRZf9RleJW8gSiFNM4bllRPzonHh633jyUuhoqoOTVsSVH8MPiLqivYFg+a4LXYdHaHWy8v0tR6n7sq+J+C2BVPpXKUsg6dg4w4/Mx0G0BGI8b3PsN3UnkBRlgHjOpLMhAjvKShJvOHkxtDfWVlkq6YLrwJpPnTLCje4WVgmvMs+mYaK+6AizrqYEYzXfh12EtiGTRFa+pKfSPNOnX9+2WylOn6B5OcrCtwP+CCqBEAVc7zPL7OdsnNXD9Vx8gsB36Wb1M7TXxE4NyHW2ae55yahLBF3FFkViru2EwyeduBANg5BprustiWFLIPXMPGPNZFg1tRvWzeCr5y6Rqc+TuxluXnLOdYfNhoH+Njh7/dSq36Ko2P52aXXpwpiffFcyJJ/hq/RZz73+pMXwreu3JFy4Tehs4gobYLRvjUdjU3Ecj6mhVs4NnUz/YTONdu7oIn1HTuMghzgVRZFPp1+zGOS466iCOXdw2c+YhFbV4qIsnNgBP3vxYXDGminVz2kQWlfTYipLNDYpHeUk0p+oRCe3icV4S0Pa00E8b211vVKOg5AGX7omU927TPp4ROloqqv67hXHLQAAgA9fsEY8Uk6OWzoR7nnJTlg9Tf4OQvZBFsr36LIoeGTbWF7XQkwFuDUpzCDbr+tyw00jXZdIYfEc8GgSuDvHd3wZgxF1UAmESCNzss2lBQgPO+f1wQnLJ8LErtHLaNPpVN3IU1ksy05mTW3qyG6qiStzpKLJdFkmyoIJ1W7/4uya3ycZcll5gzKKInj5noXwsYvXSoUl6gpJdYGO8wg+Km3+iu2z4EtXbyIu5m0tcn1dTNP6t6ljWmDHXNk2KSgDj1sCnfFFEUwe0xL7m18ekYWMaWXGptlj4bB5cmVUdeI5I4MndjXB8csmwtnrppLDM3ECVPE9XbnP4w5uwqF5D6+FL9fJPs4EyM5RTLiDUzJOM9BHfuKStSOfN80eC1dun8UnS7pPEHFfJjpXF7CKUYnWlCJPNize4GxvnJjWd6fbq4lRgjYm+TALMecOTvK91Pw93U7SbvGWT+mC01cPK+7WzpBX0PDJFoGGM265JBR9BakpdjXXwacuXWcsTleWA76uc0jYuHvSBDbHQ5XyrFICAeGqBk1p8c2tXJz3nDPqPjGc1oFkgcMyIo0pxQJPB1Yuy02eoihi3r1y6zHz4bUnLk58x2UJlPGIbF4lJvZSIZAC1RRMpKAEkjTh17PJMBqI6Abnoomd1PrT29YA7zxzhZRM5bK4SxbXkBVsZtPg4gQKaTPWx5MweTS15m2ePhRH9Yar+TjvOGMZ7JrfR1yIcylyY59tWMmQYqgtRfAfZ60w5i4mEX8UwetOWgy3HjPfeFyq7uAqsJQcIgdxspQlA/1t8NZTlw6HK7gysLH5T0PIHZxkHCPv0zaljUzURlk+pZsZPNVCKeOghlaFiKZwVN1S8kK3IOAPY9h1J+ehMIUckplXsQ2BNG02GS4qE0OSSJCsnsUnd3Ah3CtTY8hthGlLAITOf1+yDpZO7jIWfgDVmptQ+lxf4F2P8Dwl506V/yVdcxZdRcu7F7B36QSY3sPnXSXpAi72WUw0xDNQCYRIIzdBd99lnLeB7iKIeEI6ldD0I+M6moRSxRpcRC6uliV5D4RaWLJ3AokTHfp/sfiI4sW+82WOOXyvlOIJV8rnxDOGNyyE2kFgs1mfF9q23MFFEfjQhVeRmKBqcqEpio7NiMrvvHJPGdMC7zxzBXMhzltvQ7hHLI6J/kPnCbqsbH/xUfPgusNm02WJssPJGN4SZG1a3nHGcpjUPWwJZGsjXoVKakRO5OscY1WeIdHZXG3hqUp3c33Vd6aKlifc/vZGuDHrPiFd8tEUY5V/qZaP/FGUIv4eQyXfueNIfA7/QE567cWEcDer/71YNbLu4FhlXwnz/eetEg5b1+G0OpVwFOe2rupBXOy4697EM/4uKzIZPSBnJhGyoSpbxxg6KOElniQwLcVLLRzU4qHa6ifichHnCpGaf0DgIIPsPUBxQu7r8goqgRBpbGwU0E84gvQMgeXSi7Rwok2C33vuKrjlyLmwZno38fdkuLHPktlmIrtVNv4iiKy7g9N94lhmUDIxkJWhrL5Q0XmqV3JD27Q7OF8mWzbdBfiSZgA9Vez6XXPglJWTNIQ0imoeXb1jFnz+yg1qMmisE1lh6borIdIwsa8g0i3qc5+Q+lujqyh9rhnInLthGpy7YZqWOHgQ3dy2jWyUPG7uRuLgfE50iE/O7+QScvHmGVLvsZhKOOWZUJJrjIvHHVwZynDJFnY6s6aU3NlrYcOhJOACz0aT4rVW1n2YDMDMvNiENwCR991sWoknkFfOjbPGCseiy1VcDcMDhwrUA2+JP9xPor9w1UbYs2S8lrBuOXKulnBEIB448SBfRfBlvY+Q69PyKfTDbNRwJL3K8KLrTiAeTDSnK7bNpP52UOBCTaqxe1hdAJIClUCINDL7/7o6uWF3cNWjc31tdpU+cuE4mDKmOfO5Cmlrl8qfm2ePhfM3Th8ehEydrsz4W4a40kplEhdFgif1Uu8KPS8VC3lT0NdTzsqL20RYUioWwacJG9ECYXhaDMESylpl1bRuuGwrfWIqA+2UEm8Vu3rHbJg/vkOrTORFc9Y7fBITw1ZsezasOk25+MwjPOUpMpaJWMzwHu7wYYNEyB2coQ1kHd7ghKZSHBm/k3LPljFLIF3hGO4QKuHriKWmJCKv3Y7OhmvehGtlAzMQUv9m8wBOSC52dR7oMIFtd9e+5cG0nha4buecqu/DqWHVmM5iH7wvaKtHug4+6QnGWHiyRBHAnWcuNxS2eCqpcz2obrO+uYOLj5HX7ZxDnc8flDxA5eseGiIOKoEQaXw8BXLmmimZz0RRBKesnEz5Lfs75dPGSm/L850bt8I7z1wORywcN/KdyuGsCOy5g9NxpxLrO9eUCa4sVFANSlrpJnCSXmpi5s2UFZElryXIZT3Hq+TRcVKbEUhFDp6JvYll+DP7B7WEo7s/iCifTaF8Wl9ASCGLGQeNVNoSSMQdnPLczdypU5GFNU+KacVtqmx1bQyw9oqFNuWzFO4cCr0sRNKslD2c7/L0X5dsmaGlb0uHYWK/Vmh9kZOJhZw7uOrM922do3InkLJ7L6W3/cOXvRdPxKiC1hfx1iNf08XClzrBC0neMa0NEuFwPCMc6ig8NUaXfltXGVa5sKM8J2IJFA8kIaZA1+xepYukQSUQIo2MKzDRN0QX7ar3GpDe5gkz230P+XOadCeZPN0VKY1mE7uaYdf8/kT8qgt3eXdwcpsp+w4KDFoc4eoclJRMjiFABQdJwWZfCmvwulrRDddecOp40lev3aTs3gwA4FvXb4GPXrhGOZw4Qu5YOJ+LWyQmNsI8KyddYYkot2XyUAqBzvSu3z0y8rnS73lw6NPIQtp2smhJEFGW6Dzcwb3xItmChC5oN9D3DAerfgqf+74+7vDJKaBd8Ju2HBKeq0cc82CeeZ/hWUS2NSY/QkoggXB1vEuS7YPnr2beQyZCOngT/RxtnCNme7m67qh2Yy7GJBmRy2X2ez7My+sMuYPj6f693h+XqGQukuMiD32YE/qOah752ja82ZshuYOr2qiTD78qbAPQ5ikHBuVyObi9KoQKKoEQadzeI10mDn7KnSjh/bSiw6R1iZXL3WOJVFECRZHCnUCCr1Uef/K5A1LvJb8b/dYHc3MAPZZAOt1B8LwvdIpEE75OWF0TQZTYbJ3Z2wbTCPdBiDJlTAvM7mtTDieJ/kL0oVpwnUiTPJ1e9RzJFWOUfiY7nvg7NRZmg9otd9JpVu331F7n5sJN07WEIyKviDs43nlBZfzUqTybztlvVZIjso7lFZM2L+BzByd7MEYvNOUYLZ43n7pUKb4I9IzPtsZ4WjmZOlGtEqwudzbrZ/ZAbU1JSxptuIQxEYeuMcjt+jeJbk8CJlA9oEmDdrghcRjI0QzR1PrSl7I2na+63THyFofPm9wyZW9KAasXc/MmmfKk5zNh7aWpvhgrJUrAB4cE7gSKH3SKrRX92EFDZEElECKNj+anJtyT6Zi8JsVyu0nAa5WUGQ6YdQdHGliFLYEMKux0Ui6XnU87RVy5AZBP4CUUUTqE8glXsx3HGam7vVBP8ipAO90+3IfYKrj0YQHSYoEzJI35w7vwpfXlpvXkPvbHAPrkIgVz4+6BQ7+pRUI8kEIJ8//tXcQdrrJVWAxRF4hfvmYT3PPindzhC7m5435S/n15d3D8z/K0SR53cPEoG+tq+AUghpudAJ5NPV2KctV4dIeh0ta5lZeJ+AyTGsdNjBM+KVqaUu2jztCpCR3rah/HVJU7gVh1i8fC1Zf8MDmncIHpfJXtU3zcmHZZZldumwX/d8sO4m+uFF42x3E1Ly3VtSn9nU/j1PBeUlIgmnwHpS2B7PDTFx1mKabigkogRBqZjlXYAoShjSd1X6onx0gDIo+iw1SnmA5X94CtquDSuVnEwpdJvFGU6252UKazsRDl5CEim8GuMSEVtd5xRPa6ExeblUHgoWjk34znFMt71BJo9B1bfTlNFpn3dEtsov8izVN0KROIZU746rcvPxzWzezhiHUYnVWB3x3cMHU1JehoruMOX8QdHO8Gq+jSWEd26W5/tDSw8uDmI+ZyPUcMF/Tkg+i4JTrX0ZnLQkogwwqT6vjUUrp8SpcmSeQhtQlXs5o3nLwExraN3llRb0oJJPte6kXfZn8qdwKxEPEG6iMy4qu07VXTuqXeU4nz+Ttnw7iORuH3XDnq8HUdqyKXzH07JFrq1Q6LuEAm20bmISR3cOlnPasw1UoqsnwHJO8JjafXZBvtaqk3FzgCAKgEQhSw4Q6ADs3fuVqopCTpNmOXzjYD2a3mDk4+XnF3cHKRkd5zW2/JDN8J5A8+yRJHRK7xHY2wZrrcgidEiL6LNVDlZ181PBMuXiSDvGzrDDh++US9wmgg8zQ8xzvRyBqGcGm05GEHVVhR6FhL6KybJnOD5I5PJZws6muzp/rx/Bed87gcL0Tc3InISQyW69Sp5FxF4D0exRrVpR3jnQsIbgobOOoOAF9d5Ckq16dqTVn3KM21OZ+LlzkrOj4FM5vq9OjfDRJWRGquO/H8nDuuDe5+4faRv2sNuViSSUOW2zHyxqV4PCqYuxOI5rrTzlgugq65r2wwn79yAwz063bvnM3l22bB916wzXq8OvDEYzwAVGQRL3zVsSBOHed8IIt0tPJNQ8NgphibL/0LDZp8g0Lu4EaRnaP51JaQYVAJhEgjs2mk83Q6aeKbNcmSib2tMXkqVeYkQMKfJme8JD/Pul1YqClyzA59ptx1mDqRqVK3y+Wy1kWZMxNvJ7GSecERc+EjF67VFl7C1YrFhPKUZV4nV6o+vLNyTmc74VnUZMpjeLHCgrZJafreNBtuklwif+Yj+01T6ee/E0hjpIKJqShChNzBqSrdaGUSET8Khq0Xrs1Rjkg/cck6WDdjTOZzfO7gsmGFMzwnjqq+EyFLAUsr44ldTdSwdPLK4xYS4uGLKN4U1BXiGb+n/rbmDi6KuPOD5+48XiJIxltr4xI9ARJrTA8HRpXDlKy6xVPvRLPjg+evznzmwk3TYf3MMTBlTLNY4Clk2k08OVvmjIVuzhPzkeaVoZglpHjMsl0Kbc7KG56J1uNjmwyFCZ2jY++Ylnq4YttMofeV9mbSYUWRsQOXugKqOrhJCVfeHdxoeLrv7ULs4tcsBgkKl2PaggkdxK5H1WqH9PZAfxscNq+P/Z6mvGB1qCY29mXz6+ods5TidXnCz0c3WTosgdQ3uGh/iMjgj2LQv1I2i7GpmOaMjIBeT2TrT7wbI2z7SIUpCo/s8UdOWiFvgSSjYMp6X6e3lqzxUgdkV2j+tXqiQYlBOXUoIbiVQJJx6WRWH//JZlNjf3IDVi4M3jznPYlK21zknfJVHlswoQM+dMGa7Oej7HodgiWQCKp9LglS+mWyhFWfeMKTcUmqG1IabFYPVn015g5OIoE+9MNZqNwJxIJ2CEAlNp53J3U3wwfPXwPrZvC7WSX20zKlF6sk7zlnFbQ21Iq+pgXT6z3TB5BCg5TdqlkU0HALAAAfvGA1DPS3j/zNZdUqkciK5SJPHbSxp0Q6hEKiDNV9Ci39Bw24Us5icrea0hzRCyqBEGlcutV6zQnkexy4F7i0U4CkRUcE8ILDB5jPZEfIjoP+WkqjLx4zM0zZMryQ4DZETAbJZ0RPfZK+i30pOgHXNSd911krqsLVOqE2deJZIFoP92ODhMvNDpSDWTAxXYJJpkG3UklKBi1hDIeSLbfaCWfSo6rjebwvvW7nbH5ZFKI1qkxx3IHxRK9zDhZveaL7dVqsdlN/f+A89mnsSlfxgsMH4LwN0+Azl6/PjkN1XOTZcJDsCUTyPN1NknpNqiVQwipdX/3Rdxg2Q/lQ9bxwDIf+nzZmkN8iZafKXJ6GSpvmdQfHRcb7aasCa5ZAiojkC8v625R7M5k2WU6dIhs+aKNNJC2YuhOIxx2o8Fgu9Dg9fp4moWoJJPwuIS9++qLD4LwN06zKwcMk3RvGnJntYu53+daZcOmWGZnP0S1YWe941hlAdTrY8rP/zoxL7HEAAGioI999FAGhXVvI3qt38K+p0tDEOzgo4A4uIn8W5e2nL5N/GdEOKoEQaVyd2Ltmx2wY29ZAHM9VL9eVfVvoRCDjNzsXxo5+ll1w+mhNQ4Ko1It9drVvviN1Ur4M5PbUKXBBtozLQd2Yn2sKbLpoliWxwWIxh9sb+erAEQvHAQDAwgkdAKAv/dpPDxrIu4j6R8Z7OvWuXBvE8c/0F7QolKLKSTa+52lWoVIXF8ukwEBn7MPl5mGMlEl4LYS1ulNNRblhVg/0cFxm3NFUBy86ah4smtgpHAcNWrpor+tYIOvuZ2mHPF27EPQFmc00lWe5wyQEyl1vOd/RorRNhWHCLYywxwDtElQz/tAF9zvn91OfOWvtlMxwdDaX7LwnrYPstlcVSyBW+gQOs3NjzGJUU7Dpvpa37dHi72qphxcdNY/r7kCe8HSxZvoY2DJnrPB7Ph6Hy8qqLXPGwg27B5jPmNiv0FmGM8a2wC1HztUTGO/9dhxBySjBaJaeKuNzJoY2pGj7ogck3cHJUoYyLDi0P4H4ASqBEGlUXa/JwupwTS1EI8rnke8yT81pkCGqHsyaKKcVeGVxtWHBZ8JraiLu32ZFuVz2SrEmXS88SkNe4F2Y3X78Irh970J4zzkrAUBfWegu0SjSH2a835/e0zoal+Z4WPBYbZq9GFhNQapz7KRb2hK+0xarnwoX1jJLdXErGiZ/GH7kJNNqUCY8gVydI3CBdtb8kCsMgTznO2FOuxOIVx5ucUaez37F/fZc5lzdkBaId7lE6ofrJFyPGXfNazT0YVwrFklN6JOXrofb9y6Eaw+jn8w+dsn4zLCpd+pKz71jn7UebtETWK0hyynVfi7rXdr9QKTgT101WT5SAVysz1w1xTPXZCtUeXF5J5AO5k9oz37IMPHmFr+rp8JZa6dyhpRaLzEqmOpaVubtyrqbVGfSfY6ucUrX7IjXg9DBIQFLIMr3gTggQSigEgiRx8KsQHQCSp1Yc8en9LpyHDtTFiJZ8uxZOkE4/rjyTkcH/o3nb4GZva3ZD8YQHdTlJ736wsqMSyFcHeNo8jSyuDC6Nw2MWHwQgnztiWTXkLrj1znX4dkkEKFcBmhtqIVTVk2GMRyn51UQrSd7FNLKfbo4AvjqtZvh4xevhQmdjdLxqSCzaUr7TuZQgWrz1XmmQ2gf1dMVt69yxTG1SSq656yjryXWaeVQU+FxBlgGgJm9rfDRC9ckTraK9H3fvn6rkGwiZckzb6NbAkWxz9xRcsChAtIwiOpSYvEEs2pat3IYI8/GHp7UTffvT/KaxX1CP5a/bNmyJc98IooSdcnEZhCpH7LZL8fnH5V4+zsa4ZRVk6GRcQCPp5+gtXeZ5IWwEWdKRprbyzgq7qPWzyTf+VOJNR79jrm9YhGBXL64PCCSCM9bdUl4sMrm/eetgg9fsAYG+tv1z4kUQvzsFRvgLacuHQ0riqy48EwqvDnGMgmZGihjLim/GmPP3nHGMriOcUBAFpEkpNfNtLHmoIAlUG/b6Lpa5lAK4idYkogwY9uGNxk3zxI30zU9gVe2UKF0tdkLZ7VT2G8/fRl87ooNsI4y4azEoCP7kgs39Zn5tJ4WWJ2xWFZF+o6ajJPnoqk3Vn9TPr1Nwb2BIh2B7IvynLB8IvFEEg/jOuQUBqr1oLOJ382fLPrcwWlWDhqoI6VoeNN25dRu+NZvHzYalwq84ujp58VioG5Cc3aS8aFEJN8rm9VSlh2elS8JlohMl4AOE8erkDDhAiqO/k0rMVZPHwPTx7Zkvk+aH04eI3afAf99ltUPkl6l3wlkhhDaIkB2+uP5+75zV3E/mxlv7NnO5nr4xvO3wLnrpxHkqw5TxpWWav/Bo0S7cvtMAADYu3SCcE/w1tOWwsv2LGA+Q+qHaGKR4ifP/2XXEgJlzRWelBhEypDqgyB5Y5MPbVPk1LkIPNdaiJZ5/OJ5EbLbjJ6CUDkUqddKbPhf3m2E9CFXYyhOS0y0l+ww6Q9MHdMCa2eM0SqPLPF0dLfUw/aU4lPXvJVWhDJtSOadiju4dN2OomrZamtK8J0bt8K3rt8CuxeMgz7JfQVT0MrkgMCdQM0NNfCt67fAd27cmjxILiBHCIcVikatawGQ8Pj29Vvh8WcPQL9ER6flJKB6EIIn+DSccs0Io72xzomvTJ5TVCbgcgdnLG7504umsqsMZeImkPSJLyVp5CbBHU11xu8Jo24A5HR2sVfC0s830n1fBJH+zd1YgM/sH9QbuCykDSyFjd6s39PfVP4mX2guHqcYtFPO1d+LLEQyY00Fr9Iv6MoNkz2Tzk3OONxKII7EnbV2Kvzoz49mPmdD6cUdh9L9b3Lp0G3VRbME4o1HNN0lXaeUGAyflUlGonvoj4cet/Yg9SVZ852LNk8nhgswfHiKdAiFVDy8J2/jErJk45t/Z41BACevnAxrp/fAxK4muOETP+eSsUJXcz30tbPXkBtFDxr6oO0AvjZGc6cu0w+GMP3df1BeSFb66GO8fF3oaK6DH9+yo8oaoBRV96uqea/DramVu4QJ+Smaw+84Yzn847FnYeOrv6FHKEP44g6Xh8pBHJbIzOQIJrVKKZIKgP8wC78YyuJLFGflHh3epjWxK3boR7I96mjHPOu9mb2t8Pt/PgWvOG4hvOErv+UKtxRFMGVMS+ZzbY218ORzB7nCRNyDlkCIEFEE0FRfI6UAkoqP8dt/nb3SSoTptS1xMiQwyOi0alFFdsxRt7iyE5+OiasNymX1zTuXE9df3bYLfnTzDoOuZsThiV9k0pWwdBAXR5hV07rhdSeRXd3xoEtGZYVi+m/mYiW9iy8eB+/l2FmIWpe5r+9qAui08BcRZVDhZuesPlPX3sj1u+bA16/brCm0UZhtged9wTB5EVVI0B7/xa07YYDzbh0bzcfU4Yj499JzFYH3uCywNN+VkbW5E3HMYEzsVQq7ejr0gpbDXRkpvunw2CXZRMV79Xck5QDv/atlJeWlGJU+YvKYZiiVIqkDVaxkNdXVQHdLfdX3NIUYd2pF2pnknI+n/9TpDi79nuu5CAlTlkAm3MEBAPS0NkBbY9Jiv5bgqzHhMpBDcaoFhTFGa78gGFRNKYJJ3WIWskVB9oBYpfrLKBB0W3JHoHcf4sptM6GxrgQvOHwgGY/wmK9NJABQV9ZM6yErU3QdZs1SzF29Yxb8/NadcPRiflfttCyMy3zPS3bC3S/cwR2mCiEpan0GlUCIEDJuCeLobLdbB3qhieGXWQauE3IURRHzHZGHBeJWzU/Z/TcbvoC11BVCGPF5vGl3NrxoP80qkXdZik4WjbU1UF9bcqZgk50Q8JR/JejOZjkXbs/fKecfuL2xljtd5NM/ekpDORjNfRYxCgNhvvW0pYIyZAvB66KFxxWPCqT3aZtSnS3i9V5EvgMCfqldUYoiaG0YNZx/2Z4F8NEL13C9a7JPNLUQ0qUQbGusU2qbrHFIZsEsJUtcwUO1cCN/ForGkiWQKfl4lgY+WexSFSuUr1Ul551TEd3BSTRIVQUz6W4iVhg8c6mlkzsTfy+Z1AXLp3TBcQSL5+Z68trulXsXZsZTQWeLEjroJ7mOlMefdkVDde+ABs8aVlfMWW1CBqlxTDo2/Vb4PkLLUZXh51rFe15U9kxMlZnufRzdcl67cw7c+9LdMLOXfpDItFeZdPs02X5Y1VPlkFC6nCOIoL1RbF3Hc7Chqa4G6moK0MHkCFQCIUKYuohYhLgI6Ymlsh/sjPhMwXXC1MB2krNFucOTHPF81Jl8VRFJCwzdfshVec0JiyzEQoeWH6R6XHlSV915w8lLYPHEDviPs1YIvbduZk9iAxkghCW7OUoRz5nxaj50wWpYNLEDrto+q+q3ZJsWOJnJ+I118bNoWGIPcRwq4DmIIFjxS5RNmv84awUsntgBNx8xl/g7CVo7JX1dsQSSuiDZrIYl+TEWV00UUfPLQPRWSLQbB/M8O/Ms8UhE35DNO243KgBcAwj1TiBOa10Rdy2VcLPSrjrutTbUarVCP3vdVMLvAnOuQ49etGk67JjbC0smdWY+mwWpHvBuoOuyggUQX2/0tDZkPpNOR00pgk9csg7ecPKSqmdJdeXIReNgxthWYtgm5lQmPSVQLYEIX2+cRb8rFuCQJ4HEWhESFZ0Yk+Uufvvcvsx00GCVA72fiz8jFW0VdSRLoESjY/xW/bM0Wf1sfU0J/uey9YT3VA4BEL4jhLYspegl8f7z2Het+ciV22fB567YYCx85YNdTKU/o69xdH9S+jVaODWlpOIySnduPHEpDIbp7OEZF7MORMjsu6nsvWo5PM5xOMaD7WFEEFQCIUKYOM0z0N8GO1KXy1UgdSoqG/c6XHWQFUWj3y6Y0A53nLGcHpacCIfeTb6tqsSQvRNIdVARXWBqdaFnaKBSKYoylLUq+XjCmtDZBIsnku+hopWnqzukVJg3jn7Jq0hyZoxthf+5fAMcNq/P0iYpfxykSae2BWf6FJFiW2cNIazJ8boZPfCZyzfAQsLdaXGZEi5cFDJhoL8NTl89mft50U1TocA0x0+qvzWUOAf62+F/Lt8AG2dnbERxxp1GxR1cGlMWqpGhsE1IqyNM7juBNMap6mZXJ8mFbbYQWfNDHnTXL1pXasNdnW5edux8OGbxeDh8QT/3OzbdLt90xFx41/NWMt228QYbr2/bBnrhA+etllp3sdIvWqdJpJXgl2+bKSSTiY0y3VW0vXH08I5IfeJzB0f+nhTP+89bDZMZbrRCmJXX1ZTg/eethku3zNAa7hDH/EHXusX0wQ9exrQm3SSmk0ezWNItPamaf/LSauVTmo2zxsJLjp6nWZpsfPH8QYLVJycObuiME/Tmicn5t0qcfrTabFjdlMr8Kz0eyXRj1PhTLlPRTVtYoBIIEULGLUEWfe2N8K7n6bnfR6b7ecfpy0bfl+zA4m/9x1krYHdqsZo8ySBy0tBsh2rITbMWSGkXna5Y1AEpkT7JV0HnqS0dZK23TI//tOBJdaXy1TvPXA4nLJ8IH7toLfHdFVO6AACgr518klXPZY0ygahF7Ivbtep31AQb28Y+caxrSRNFEbziuIXwEU63X1xh6gpHMSDS6zx3fnCHLyCf7F0Bw4rzjGdUDozEP2vsm7njd7iY4l4kcmWwwglG6TcNwSGQbLHp3l+knpCXDE/HfRey7fHMtVPhzacu1bL+SB4Y4D88QZJd5HQusQ8hfBmfh7z77JWwYVYP1HK6WNF1AEKG9sY6eN7aKeyHBGQiVhUNgzuPCK88biFcvnUm8wARC556wXvPEy82XHT7CM8ZEh5FEQ9ZZZb+tWqDXVMRbZk9Fs7bMA3ecDL5ztCaiO72Ta9XDT+hrbemdGdfbM8i1P3tity6D1WrkGk1nBjL1DJe6fV0EzZYB9ju4ATmGqmWWW2hLJ4InjENFUDhUZv9CIKMonviCqDYqRLeveOMZfC3R5+Fl3/+11xBTI+5F6ApDRKdqonNVZ5nouoHVftcaUsgtWiF5e6SvI+FHLea9LQcY4W6a34fzOlvhzd/7XdCYYogmqx02fOcZhY5XezLdGBiVzO89sTF8ORzB6p+KwPA209fBv/53T/B6asyNjAUSGdbSAZVuud1pYgeZtWlp4RnFk/qhJuPmAuv+MJo/y5rocpTDGumj+EKi+tEWuIRxsk/ibhUN4FkTrm2NdTC22KHKLJkIX3b194IAGZOaWpTCIIZX/om3NfqwInbX85NctvwSRA7qSspskhaVfqteDxC41CGeKUognUzxsDv//lUZlBfuHIjfPbn/4Bn9w/Ce773ZwEhzI+dIuUn9CxnTVo6uQtuPmIuTB4zavmRvpB+cncz/PXfz1S9G+9D4224thTBp2In9HW0KqkDIQLPipbz8ClksXdonHbIAvh7v39kNHzN9ULEZWoWVZve7rtNrbDqAo+ye1CXJZDgwUSNRs4JoiiCFx1Ft6ShzeVUxlPdVcr2Gqi5vgaOXz7RbqQxsrLeRZONokh4jmzqCgGm5Wr674j8WSbsOPU1JbhkywxYPb175Luq+3UMHnZh5S33uSyolvkVxy2AJ547AHf9bng80zl2x+OKgN0f+nQnJDIMWgIhQhhRArF+E4wuigB2LxgH52+cLieL9AI+9jljg07rIVtFZOOwtXn1X+eshLedtgx6D20UCsdDshCJffZlUFo/Y4zWDS9aSNz3IVFkyVIamj6NKJZFyYdpG5u97Y1w0+HJTRexkLOJZ9ucPvoll7ccyX/vCi38Cj5soAJU55WODeYLNo327x1NdYkT4q7atKiLTNbvOiyuKn8TT7sTwpcpl1+8dBdsmj22Kh6RoGYz2kMW6XgWTyK7t1QlitgLUZ/Q0e55gxhxB+dpXsgialGRNf/jQWRqvWxyF/P33rYGuGH3HOV4RN6LIoAXHD7AfKbSR8wb3w437h6Algaxe9eI8Qo/H5sDCbzHo6RmubYUOShzwabpsGv+qDeB9GXLr9q7EG45ci6M76DPi+PxPX/XHFhIcf0ri+pcL2uYFh3HTY/6IqnlaWN0d3DilCFrPhFOB93WIHY2mdbk4knWpYwhGSKKWCyQ2oyJ6WptiXzv5rCiVP7wUdXzh8LyZBnN5Oods5T3r1xZ28VjTRefatbrdPFuqpvhOaCqg5pSBNccNhvWzZC7u8wkKuvmzuZ6uHH36NxMJiTeeXA4Iw0CgEogRBATdwL5fglxlDKtVp0IiJ0eTH5Ov9sfU440CV5kDuD/HS9b5/TCkYvGSb9Pyur4YOpD8lsbauGMNVPIVmiGTqUCyJ2890VpJgPxFJ+l5MTz+kMXrKY+J6u8toVMfokqR0TZNpC8Ty59n0faNacpeJIVHztYY2nmGCNw+o23yGh3AoXCLUfOhc2HFFI6qK63dg/AuETrgQTOoHzNizhcaZFWsvC/uGt+H/W3N52yBL77gm3QXE/eTOU+CMJ4j/w7QHN9rbQLLV58utchXWRMJZBCPGlLoPbGOjh/43ToSymBEhvSjPBULFVEwlDBhXV8dQCy8Wa/KDreitR7sgog/Uw+4FmT6Fq3pNshQEa5OOqqTl1Fvssyq8rpcLfuA/6MEPyY7E/ph0IduoNL/81SYhvYczuB0yqs2sjSfq3fNtBLTMMmynon23WveBqceAdAjINKIEQIE5ZAOpE7RRU3Z5RLX8LSR0rNLv7Kfz5vRcJN2l03boVXH79IKAzZ8b9qABdMgMuTaaajvnzr8AW5J63gm2QcvXgc1NaU9MrFERbzEkLK9yIn6oy4TxKoZ3zKh+wEEU/wKqRtTGuD9o0sk/N4/e7g7Lb9vUsnwFSKlZdWSQQtBlTyQX1vqzqE5oxT+ToU0rr7/Xg6Dl84zui4Eg/Zl41oU8l1Mc3zdY0pevGwbDJEDybROHbJBKhj3Z0Te1VoYzlLL33oAdZzJlqN8MZlPP0kC1qROUbq2YNMSyDCyXzOqGpSlkC099IHIExivLnKHDjheUba3YPYo9++fiv819nVd91WDu6dQbs/SUK8ctnfDfk0mcUqOE9nKV5FnmFx2Lxhpft5G6Yxn0uLzuNKSvdc4n3nroJrDptN/I1HOSiCShezYZZ/1hZZuJqj6HR5lka19tnIk6q1vIb4X75nAddzVUogg+klzUe2DfTCW09bSpyT7106QSoeU0kwMef4zo1b4daj6a4vETVQCYQIYcQSSPD5xEJHpyDAb/LI+o4UhKwlUcQY7eaPT7p36GltgLUz+O6vqCA7OVbt623NpURccOji2sNmw+eu2ACvPG7hyHc8p21MbOyyKEO6LWW/T/W/zbEB5BrSpvsNu9jua3RQLsudtsp6Z+8yuQmgCjLm3ul6pctkfP3M4b7u9NXJU4/pfCuVIlhrwbxftP0xLYEkMkhVSVNbiuCHL9wuHjExfPsdAXnvSM8GS9oaeDhY9TSayKabOVxKZsUrrqC0X962TrCKWk3I1n3ePFetM6WqekyLJ9VvZ4Rb+Z0pnx+6UyZUBQtB9nQXzrqAXqXc6iTWXaw1iY75qGo9lKkKLpXvIuN7KYpg8phmWFx1ITfAe89dBV+4ciP1JLrMZm7a0kXnuGK7ZxeNj+oOLhYS6Zn/OqdaQUfjbactg89fuQHOWT9VSDYXVhabZo+FOt2HCoG2lpaPZHZfG3ztus0KEplhI0M5pZKnWXWBNy+1qvEiEKqkUcTut3nnPuM7Gq3uFZDiaiR4zuFTtmUj2+xJ49vGWT2HrLr5MyxrnJTJe9r81LSSbGJXMyyb0qU3UGQEp0qgqVOnHlpcj/53++23J575+c9/Dhs3boTGxkaYNGkSvPrVr64K5+Mf/zgMDAxAY2MjLFy4EL7whS/YSkJhuGr7LAAAuO1YPu25CDrNQEPwfWxyIiEeXgCrcgWI9SdxElZjXIcKtlSKYMGEjsQ9JSLva5GFo92wN4DI35u66NQE6STE91Eu2TIDfnDTdjhp5SQjcU/raUn8baKZveaExbHwzRWMbvN3oQvQGel637mr4e4XbocVU7sT38cVlTb7t+rTauyT3ySr2oq42Rtw2Xko0530Sd69VhW3xDs6XA1WhSkhx0jYcete0N8OTJF2BXPhpmoXk1kKB949Z52HG7LaS5otc/S5/gMAWMO4DHhEHo5wZGuJralrvO9gFV/1xjJbwMrPptsJbz/Bk5+kchaSPhWJ6AX0vHHVENxQEeF0B8cjpX5FcTLMrLFZk/qe4xv9sPKmvrYE88a3a20nWWcSwhi5hhFdB8m6g5s5tpU7jvraEswf30GWjXF/XDpWUsp0TFF557lRRBHCETMEykAEFQvPntYG4fiOUnBZX8G2O7ThcMX6WR1eHP7vlh3wjeu3ZD7He8con6U2r4KNIIfFgwfkgyaH9pUUsz5xKMTwIUMkHJxbAt12223wwAMPjPx3xRVXjPz2xBNPwM6dO2HKlCnwf//3f/Ca17wGbr31VrjzzjtHnvne974Hp556Kpx33nnw05/+FPbs2QN79uyBX/7yly6Sk1uuOWw2/Pq23VQflGrY611kYmKZovJGIr0xkNqISvymIduk3cEpRu5yQJH1iW8acpbIZRTXBki5TA2dNmkS21SXk337QC8M9JMvi1epN+m7oPoZlypnwar/Z6+bCv97zSbm+zrqneeeOUdIZ5UuuWtKEfSSlBYetek08XZFUgJVFFiZrpdI33Ge1LIBa9FpO04TYZcNx6eLE5ZPhBceUW0ZlNUGecd3HQvkK7fPgu6Werjt2PkEOaqf72mth/teths6m+uV445DU4CKKn5k64UtN5nxWETGc17FtEoyjl/G50JXF8Tk0/pRjvBYlvUq5Zu2GuUJihUfT7mbqI0iY5EPB9Rk3XzLepQQjYcaNvArbUOAVRXo3gmynzGND3U4DWtDXLhKBFSHeEknKaGMICT4q9duhrecutSwVOYQqaKliLAPJVgJxrQ2QEOt+P3VI/FF4vtPvI+TwrXqDo7w3cjhGkLERJ10uZxZJjJKRdobYmO6cLSH4s5hR+MJzpVAbW1t0N/fP/JfS8voCeoPfvCDsH//fnj3u98N8+fPh1NOOQWuvPJKeP3rXz/yzJve9CbYvXs3XH/99TB37lx42cteBsuWLYO3vvWtLpKTa5rq5TvuCuTNK+VgucMi9UGJy1QlFThCCwTid3oyQTQvdU2ORePV2alfsW0mPR5CNL5uniu72BN8P+0Ojgcbi6l3PW8FfPGqjULvcG1qxE+hGtQU1NVEVXcy8MTXWOfOcowdz+hnHdYaJV3+4DiwufgXTRJJCSR6kpwFSx6pk2BCz/I97WtfDJA6OTfyf4fQ6GbOJLQ+RfcGoUoyzt84Df7vlh0wq69a8U+uRxHRlYdOVIpX+l5JS20hcRiC8VxVHZFQTKfJytbXnbQ44wl1ZBTsvM8eHBoSCpe3/Xe18Ck8E/ebMoLmswSS2CgSsfJV/F01fh6S98WKyEF/J1OZKhDPCA50DeM6GuEs2r1GCvS0iin3BznSTtLN6qoqLJfaVZZAjjVvwxvo9N+Z44Ggpa5LlOaVgu821ddwlauuNWdVVCpzlSgSOwgSRRl1JOv9+LP8Gc3KX10u3PjhKGsD/bGyJRAkMl8ifr6XXPdxiBjOlUC33347jBkzBpYuXQqvec1r4ODBgyO/ff/734dNmzZBff3opGDXrl3wm9/8Bh599NGRZ3bs2JEIc9euXfD973+fGue+ffvgiSeeSPyHuEPnZhXv47QBiMu0NGsDRcdqWRLRDpixZs0tSXcodlZPbLcrlU/sSfZFm6fD0YvHU8OJKJ9p4bH8iLt0B1dxDaojHNrftg/o8cT3sYvWJv4mWrnQws/4XeViRd3dVTo81t04cvcGxD5bLOfq+kZ6ZvQz0RLoUAPLPMnFcVjB9lw8sRlCiZuoENSEydNi6TuB/EFuLpK1oOQtFy53cBxhhbJwpMlJGztvPXoebJzVA0sId4OksWYJJKnU593gYT3n28l4EWkmdTVVfZcuskHGjrRK8V66dUYyLEoux+dnLCsWPZbIMkoi/mcndzdXfceSW7Vuze6Td02V7k9NtGVm2lN/m+pPj4mtP75y7WaY0FndJlS544zlMIZT6QnAd9CHZKGn3AYOBcCqdzxxxB+ZP74d3n76MkXB6OiuFzpCM1FVVdLJtJRyNE3hipfxDCtNIs1g2piWqu9UD0DzhFO1tuGP8lDY8gVnasbSz7m+l7GwJrq5VdMBUeP3a0aHiOJUCXTllVfCRz7yEfjGN74BF110Ebzyla+EG264YeT3Bx98EPr6+hLvVP5+8MEHmc9Ufifxqle9Cjo6Okb+mzTJzL0QRaRZwlpIZWAVNguVj4oZhinFT9bGPI/PYRauzORl80PHJoKaZYO5/MqqyjcdPpdtdi7YFqQ22D0d8U34EdcJT2yLJnYCAMB/nb0Sjlw4Dm7cPUdb/Esmdwk9v32gFz5+8dqq7+X6aroyDgBg60CvTKBU4mU7uvanlIBWJUQ17zh9GUzqJm+U1BDiHpE3czhRO5VpetOdN/S0i0YReNw06GrmJOO1ENQWtEMOuu4E0oGP+ZioN1wnTWMb7rHvz14/Dd5/3mouK0/+Jklq++ZzMSuOkTrFeM7EqMtz4CX5vFhefeKSdbB7fj+86ZTquVe6HR1knJLhdedCor2xDj54/uqRv9saazPfYYet7g7OZJXbPb8f3nnmciNhk+S+ftccWHxo/kV/j7U5nPyN1b9mKUtl2nLWfFZXWaXvmzNxKGzG2NaquSf7EF22Ozhb830ZK8P03Se6mhW9/2O8IxyHj6O33r7JhccFKWS8NAB/G949vx/uPIvdJ5vKKqaCiGt+xhkP4TtT7uA+cP4q2DU/uXdNvsuqEq/GtaphK18a8tdPEL5TkgSpoF0J9IIXvGDkJDftv/vuuw8AAK699lrYsmULLFq0CC6++GJ43eteB295y1tg3759usVKcNNNN8Hjjz8+8t/9999vNL4i8ZnL1xuPgzmfU+yodPSz2RNBtQ08nSyd3OkkXlvpjaJqxaSvg4dtuVjtiCZLltLQdLlST6MQ5GKJYsOiKY7IInTrQC+87fRlQndeZAXfLXh/xjvOWA4rpw5flK77/q9hv9LkTdOQIWXT4QvHwVtOJZ/srKkhKYEqlkD6sHmx6QicCVDtL0wu0KuUPgkL0rAhLnbjvzs4XEMM14POQdjCjLhgzQ5DxXpAZHxJxsNQWlS9JyaTKdISq7RF4qZLKp3Lp3TBHWcuh0kEy5R0lrDuBFLl2f2DI59p7uF4L9Pms+DL+D07CDYUGRrrSnDHmcthCuHUOVMexc7iliPnwZlrpsCnLl03+iVncabbBoc+lArvOxdtnk4PA8z0yaqnyQGy614UiZUljzcLW+7gXLwvEkZWknVvrczqbYV3GLRsokE6YMUrf7XVJNslpDalHcsCSTVsmkKQM+C549q5+mSxg2gCz3L5OdETV7Ys2fCsuWb2tsE7z1yR+V5l3sFtnQ/Ze4xa15eEDv1mwj2kiJ9kHycS5LrrroOzzz6b+cz06eTJy+rVq+HgwYPw5z//GebMmQP9/f3w0EMPJZ6p/N3f3z/yL+mZyu8kGhoaoKGhISspiAQze8kXurNgnppSEYaTxJ1ARCEi1p/U7xK/S6YkOfRFmbM93sHuq9dugs/e8wCcv3EafPju/CpBI4jgC1duhP/67p/gvd//CwDYVwAAyC+6pRdaPM8whBJRtoiG4QMmDwamw+5tczfW3HHGMnj0mQMweUz1BpYroihKZJJu1ylJd3Dsgp43Tny8okF3MRr7HEsr0xJIQ/y6F5Xyi7Z4GMnvSS7xZDHZ3ZA21Xw4BSs778h2aauPrLB8yEdeaJImF9jVT/FsCnjvDo7TEsj30jQ1VwfIsgQixcXPo8/sH/ncQvG4wLqfhPacLC7abaYCIf23QJ53NNfBy/Ys4A47GU8E8VxlnlzPKHXuXC0nP9q4PDsdg6kDJiIpGSqXYfrYFvjjw09TnyHdtRj/6sJN0+HOb/9RIFYy2WOdchRKDCvYNIZ36F9aLbhx9wDsmNdH+dUcpsZSlWCV1pw88XI8k+ylhlG1khPJEhFrSpZ76az5lki8yQdJX+rv42ghpovi5iPmwqZZPQCgeU4enwNqDLfCaasnwyu+8GsDISO60W4JNHbsWBgYGGD+F7/jJ87PfvYzKJVK0Ns77B5m7dq18O1vfxsOHDgw8sxXvvIVmDNnDnR1dY0887WvfS0Rzle+8hVYu7balQ3iJ64nRnGILhu43uN/3mR6eRcCM3vb4JrDZkNbY52meM0+zyJrDjO1pwWu3z0w8nf88l6fTnSrLuLib/P6ohad/7lQoMWh38kgdvLLhhvED1+wBu44YxlM6m7WenqZDDnE3QvGVbnwEEV183vdjDGJv2mnZnURL9qsYt41n35YRJWsZDHvBMrapBc4iHAM4R4xE2NQ4jCFyppLgKz3VTapEmmIkncC+eoWMw0t/VnlI3Lq0CQkKWzPF21aLVuJJ/ZZpPyy29qh5xgP6mg3VXcZqoVW9Y3KaWaWJZDq/O6xZ0bXwTxjcImxuucrB/ExSAey+WTC5RdrIzJO+iee/lNViZY87JIVl1JUdBkI8d527HyoI1g5i9DdmtwjYpXtULkMH7lgTdWdTvF6lFU3rtg2U1xITZlaXzPaUCPQd/cg2bWU3oqQqVDnVEyohqHjnZF35V9VQkVxLB0nRHwHVLXFZ/c9HVS7g7MjTU9rPVywafpIfKQxhSYL8U6ghPcNfWkgVR+f9nQRNs7uBPr+978Pb3zjG+Gee+6BP/7xj/DBD34QrrnmGjjjjDNGFDynnXYa1NfXw3nnnQf33nsvfPSjH4U3velNcO21146Ec9VVV8GXvvQleN3rXgf33Xcf3HrrrfDjH/8YLr/8cldJQyziorPRuVnP+q7qmRx1rPHBa/mULjh1lZl7uSrRxBcliYW68MLRXCFYL1+WOziKMJnu4Lw/B2yeStatnTEGdi8YBwAA562fBgAARy4c50os+Obzt8B/nb0SZvZmX4Cssy4euXAcnLB8Yizs5EJX96ZhfAKcpQTQOqGnKLdoBwSISiAD7uCev2sOvO20ZXDehmkaQ2XDK3/iTiDBOKo2dgiRarsTCMQ2lXwn804gzpVBJRvULmJm/ObBpEf4gIukyLbcrfHew8U6fUti/8Fhd2Wsx0xYDqyf2SP0fJYyV+hkc+ppphJIUaO5YurwuphVT5JeDeibPjz9l2l3cCbqgmzbU+1m0v2pSnB0K3z6O+m85Nt8V1zHUl4/a+1U6G3ju/ScHG4E7Y118IlL+A7yHrloHPS2N8KZa6dSn8lyGSc1zhwqEJH740h5Xl+rvg1Hqhs0V5c612g21nsyUy0VSyD2q/Qf77phK7zrrBXU31VgrpEU+1Hh91lzBoX6IJnt9g8FcTwjarFKIj2X0LpUdTStDnzZlEucKYEaGhrgIx/5CGzevBnmz58Pr3jFK+Caa66BO++8c+SZjo4O+N///V/405/+BMuXL4frrrsOXvziF8OFF1448sy6devgQx/6ENx5552wePFi+O///m/49Kc/DQsW0M26Eb9gDhwWeqv4IKjj5CmPVcLeZRM4AxONW+x5H9g5rw8mdJIvT1elkh11sV0tlsuObGTfFV90/+Cm7cTnLt48g+t9dYmqEck611XRlSUQKegbDx+AD1+wBl530mLqM7rjTDO1pwW2DvQKh63ap0RRBDvm9sX+rv5dJ/G8sGm5xrXxEnumlrCbV3FbInX6kfJFQ20NHLloHHQ118V+ct06hykp7HyXy26tNPzIQTmysl2nOxXfTuV+/6Zt8PkrNzCfoXUbtLSIWILTUFKkCbybdAWizxZo/+BQpiwmht1lU7rg05ethx/fskNLeOYsgdRYOrkLPnXpOvjhC/nSyd445HhfJQJqmKPvLJjQIfy+6Ialzv6D6V419dOoa8TstSApJh6yFHkmxsYql00UGXTEvXxKN/P3CzZOg49fvBb2LKGspWMyGJ3vK75fF7cE0lhmMsqBUOY0d565HD5y4Rrq77yHWHjIysVKmU3qblZyfcdraahbGaB6P5zs3EOExIGGyNy8nxRsOnt0xE13Bzf6S3oqITQvyRh3TLdz2xaHiDza7wTiZdmyZfCDH/wg87lFixbBXXfdxXzmxBNPhBNPPFGXaIhtPGrgXJ2Nhk3R15ywGBZO6ICXfvZX1OdkJpceZSWT9KRGdgPk5BWT+Pztx3a9Dg7GLQX0obxZniq9/o5GYpg37p4Dxy+bAF/85YPw+q/8lhgWT55ILYwUFp6lSH1TXlf9tn0ipa6mBGtTbtF00NFUB48/ewAGxrVzvyPaxelR0oxmuM5Ts+yY7JYzLR3JE9mjkBQgOv2G6x8LRBZ7fM+qWD9ULc50LzxSJ+l9XIjIiqTbZ76HWUNlXEcTjOvgP3Qi2v/J9pcqeSh2V99oTGJ3ArF/33+Q44Z2DZBkXjKpk/v9pEWfmizpPDnIMDnQoUheOrmL+1leiyEacXm/ft1m2Pa6byV/55YkFi+U4ee37oSnnjtItRaRt+bhe1GkffJaeaT7Uy53cNxSZFNtFGumR073M7R6ZGOsbG+sg5VT2YqiClnrDl19b2a+E36urynBySsmwUd/fD9cvWMW7D+oZ9JKSnME6srhRHgayjl9RygPzfW1sGb66HrqqEXj4Ed//jc89MQ+AFC0BBJQ9uqEHa+5iG3ugaSVOTrC5Q3mZy8+DF7/ld/C+w7dDU2Oh7QmE88h6aPC5eFDvnd86w9w6zHzkrKRFDsCYUfUP0b50c07YOUrvioQKhI6ziyBEKSCiw0Es4M5+7soGnYFFHfLRL3rhLKBWPm7anwiBMNtdaSA+EZJ7LNkDfjJiw6D249fmBFPddiDWb4BJMmaK5y2ajLUlCI4dkn1HR0AwN0QoiiCWX1t1XerJITJDqfa1y35cxwVJY6ti68rsC9Gzodd8t03b4df3LoTWhv4z3O4SHm8rpUiE0qmeGSjH23c/VRBNB1ES6CRO4Ey4hKK6dA7sUBNN0Xe4JOuqcTKaqhcNnZCMk067LLh+EwTrwuz+1phXEcjTOluHvmO/04g9fblYz4mNvY45JPd3Ihje3wEEHMHF7+7gkRFCWQ7FTzKd6HwRE42p+JgzY/2LpsI9bUlOHyBuXvokuib/0wfW+1CVra6tjfWwXgDlv+84wd5faZWa6usmxV2VqQ8k2WFaeRISES3mNQcn+ooE58HNtXVwJY5YxO/uxyD6mpLcPvxC+EnLzoMtg3IW5KkIc59I/n+2QfXrBXSoswd154YP3W6g4son0XDUYEnKNYzqta5vGlRSTKvoqdclptvdTbXQ29bg5xwCVmyI5Q93FaG4UO+P3nRYXDc0omJ37jD5ClPShrGSuQPze0k8VmNuw8edUdB48wSCEEqsAYo4XaeaanADpHoyi0lha7OR2ai3N5UCxtn9cDBwTJXh91UVwOvP2mJhHT2aKgrjbgSEaG7pT77IQJxd3C29ojL5WHLnl/ftpt6aarWk4Fcz4gnXmRTPd2Whifmahmuq+25902rR4CG2hpoqK3RElYc3Qu++OZYKYqMbngOxgrXZjFzLdQyFqojSiCJ3kDkHRO5nzg0LaDQloVHIa2znedp0RFPy5eu2gRD5TLUxjb5tbqDU6ltnuU5LS1ZrjZ46iFvnhMtSgTLa9f8Pvjnk/tgoL+N+523n74Mzn/fj+GmwweIv48ogRiiOB92ISmf6qaESLb3tDbAL2/dlZj/2VJcm4hHpo/g6QuUNhINdhgip9Ej2g888XA+x+xTdG5AJ+pRWulJFoJphWapF4iLEJfznpfshLqaCP726LOxZ/VkWObhHcLv9TUliKJIej1Lg6wDiqCxnr5eEM0FmfSqxkl6pxQlS9BUv1or4GeuFEVCaxG2y7X4Z/nEtTfVwWPPHEiEpTwGSj6c1eYS99sl0pwtb1uj3NY2T9by5NeeJRPgP+/6E/zxkaeF4h92cU3uC1TX5LT5QAj3m/rivjyPoCUQop2PMny16t5cTIeWtTFE6vB094EmTnFXwo2iCN537ir40AWruRRWNIWDa+JyNtfXWvXxyvLbrhQXRxrqa0tV5dbRVHfo/ezy5IWnTjNPAVPiVXGroNNPMxcMYWzeFYNUbxbwtneZYkq0b6uWQNnfxx+pJfTNlfFJpj+sOsHoUGvB22+N6xC7QHrqmFFrFSiXk9ZNhOeVSj9VbjrdSLkmvklXKkUJBVD6dyaH8kGlqrHqio6Tm6ro3hjT/Z4M7zxzBXzyknVCd3ItntQJd79wO+xdNpH4+8idQKwc86zd6G7HPa3s+kqa/5mCqaRROC08+nt+4Dm5zJ7bpg8KMg42Ruw4eSlT/9AT/kjQiekUp7WVZycm4lNC3W1QtQupr+U7ZLpxVg9DBtK+RvV3UQRw1tqpQu4zWTjbnE1FW1uKMg9YcQedejWei5O6m+DwBf1cnkxUXB1XyaRqqXjo3/edu6rq4IcPLrPV3hv99f3nDafvA+etloypGpnsaWmoha9dtxmaGQpXclz02Ej1SXquKfcaBc8mdYgQqARCtLN6+hjYmjK3ZiE6WLI6yoMGdne7W+oSf5PEzVwwEVzx8JzUo536pLqP82gjkEVcLJOurEjJj8fn0i3YG05eDFvmjIXLts0EAJnNJvrCkyddMilXOTWiY8Ggb9GBExebxHO7lOq/TJ5EqoTsYtM+q66SFqrcw5fqCUvOZlTiGKNkwv/Q+athw8weeMupSwUCBTh55eSRzzYVucMHMEb/LkPYp9OyNklMKmlFeO2Ji2HjrB5477mrDMekRjK/5OqF7alaplU8IR2sdw4cumtxUsytoA2EXRFnhkf/7WV7FsBhscu/0+3ofYL11KjlCuM3nnbr6dKBisu1zsyUuzwVSXjTkVDOpErURlZEEeNOINZ7qV83zx4LK6d2MeNSnb+NzVDO6iKzbyF8l+Vms/JMX7vYgRlalrU21MKnL1svFBaAX0rfdB2qSW0i1Sg1AJYCN4J3nLEcXnPC4sxQRBVRsvN1kbaxaGInfOnqTYlgedZf3OOUivKNme+jn8vDk28iG2eNhS9dvQkWU5ScWUnlkZ43L7QfeFcOLr4H6VNrRlyCSiDEOTq7o4MZbsVEOr/XnrgYzlgzGXbOE/PhbWphp+vSOhPc9+AT0u+2NtRa8Yf/6hMWwZlrpsDWOb0j37l0F3Tc0onwnnNWQXtjxRJIPUwhqu4EqlZUplG5Y0XnySgeWNEZuhZqOF6OdHrSbKnoLqp4P1WKDNfrGEMWNQVcrm5ij5BcS6i0LzEdDf3pT126buTzMoGLyBPhZwizbmYPfOD81TC1p0UqfADSxpfmRVficzLHfBl3ZZO8cEJHRriCGxiMx1Vcxkzsaob3n7caNs/mP1RkEuphHcgeO7PgdgcnF7w1bjlyLhy3lHwPpc1DN/KnZOkvnrlmCvzHWSuoccwb3w4tgqd/TcE0BNJwD4Rvd1iRLR9Ik2q5+Fh94ptPXQrLp3TFnk3+K4JMrmaWp6a1RToPqOMgq+6l+oD3nrsKjllMuSeVKUs6YPp84My1U+DE5RPhjjOWCceTiWKXVsehBMqC1GeR5r5ZRa7jkGUyPlN7Icm/00og010TT/BpmbLmjCyZE4exOOLmhaXIjcNyG2vD8jlhha8pfl5sTvXZdzTqS2j6QJsKNvIHdVbmQCUQ4jXZGwjJB7IsgUgDMc0X7wnLJ8LL9ywUMvWnQTopynfqQDAewed1cd+DT0q/29JQwy036TnegfOkFZPgZXsWJMpTpzUMc4HKEa5q2SU3KSnPpKyFRDdlMt3BMdqGiOsZevjKQQCA2c0o0UnRpVtmeH/SPY7qJkUUmb0TaN2MMaPxGoulmqokEZM4+iVp7V9RAsmNMex3eINcOrkLvn7dZjhn/VR42+lymyY2xiGrLh1tK+g1QeuLXrV3IZy7fhp86eqNxN952+es3uoL4/OGaDnLVgsXm+om6GqphzecvMRY+LyW4/Q5EPs91WJYP3PYbVM/x8l9k0XOqk8885/0Bm6Vaxsfq6u04k+N8Z1N8MZYnWefao8ynyFBWndMPmR1tyHlKsx10biOP01DbQlec+Ji2L1gnPawEy4DM+dg1b/X1yYngrQQ5o1rF5KLND8ydVBGyUOEBkVpem2p0x2c7PNa71VUDIt5IIDj/VuOmscXj4IcvAGrKB2y72WqFjD9jivvMaSsE7oH1pAiMSuuOJ6cnUNioBIIsQr3aa1DiG70yNz3Mr6zCV5/0mJ4V+yEnxISi0zpsdGTjQMVKWQv8dPNqmndTuNXnTTynO6Itz/2nUBkRCwVqibqntRVALF+xbTbpxt2D3hz0r2C7qKKT5xLEX9/IbO4jLsY8+HuJ1pe1pAsgTgt1EStjkR+AwCYPrYVXnL0fDEXJGX+zRBeakoRXL9rDjW6eP2oxPiVazbFntFTASLwZ6zVwZjWBnjx0fNgoJ+8scSjr7/lyLkj98OE7BqPRLLaiLU12XrCe0Zi9fQx2Q9pgDcZlbsqeFxAp5ujTPPsaqmH6w6bLf4iSR7F90ll/eoTFsH1u+bAf1+yVjF0c5Dyfe64drj5iLmjX6SS9sWrNib6YlMtntV+bNV9EplWFImDLgrxcL5bhjJ85MI1cP2uOfCGk5ZUh6OphGQ2kHWPlertVO13k/BaAp25dgq88IgB+NwVG7ieJ21WZ27Ss34jHoRxk3HpeGvTSiBClvLKynU4l+Mh8axhKI5Fg+KNMcoeg7fMGTtybzEAuy2qWIal3y0zfoson2X4csw9nmtYecu7f8J1wENjhbKxxM7R0ss7UAmEOKfqAHXsi+f2D1Y9Hx+0TlievKQ2yxKINhHYu2wi7Ij5+mbFqa0/4ppIsB9Kb3LZNpUdjUcsovikra+90YtO/s4zl8P/O34hvOHkpL/faZwui5TToFE5yAPrXgsTJzmsu4NjnYR1rBxwHb9t4soN05ZAY2L+32267RJdGM7uq7aiGKxYAsnEnyGPrstldT9bgVRUfW0NcNnWmaPPxEa4dNlW0jurj+66QoSke8ww1RwmXZOdv3F6lcuTPKLDEkjHHSx33bAVXnviYnje2iliAhnmracug9v3LoQ3nrw0+2FNHB1zH0XLNnp+ZpzWl5JolM7merhs60yY2JV9N1I8rht3D8BXr92sGHssbMHN+5oSwAWbphNlAwCYMqYl0Reb2gCmhdraUGus7lPnuxzPVOiK3R1b2dgnn97OkEWgBo7vbILLts6ErpQ3C1ub8zJ3AsnFIz6PszUyiSj/SD9vmt1D+LaaupoSXLhpBiwguHIlxUvKsiz5hN3BKT+gh0UTk3niw4FDnXOj5CGT5G8qK5wIImXLFpG+hpUO5nuxzyrykqKcw3B1B6B6D7IgjLhUq3TE+EsFYj8T5GqpmPhxBB8pDMQujtFfPL3/IDO85++cA6umdsP57/sxAAAMmrzs4xAyp4p0nlwQwVZcovOd2poSfP7KDVAuA7Q11jkbNOIDWGdzPZy8cjJ89VcPjXz3llOXwoaZPbD0ZV9RjMf8ZnTCby4lvoQ7uHLSHRxPCeyc1wfv+d6fGTLQ0TEx11VLfLnTwwVcF4FSykq2nbpSTtuEqlCNfR9/YsqYFvjvi9dCV0s9bH/dtwAg7g5OIn7JRZUJdJUv20rYbhvWlaZvPH+LnoA4kM0i4bQq5E0e+oLE/E4yPVmbKZO6m2FSd7ZiwTYdzXVwyqrJVd9vnTMWvvGbhxPf6Wqx2tzCSmyUxtGpA927bILw5e8smO7gNPSdRAWHwbZ8/LIJUCt4fwpZCcMvpEg+tTXWwWcuXw91NSW+DWDFvEqLxrT8JX2noaxoG7LMsHMy9VZNxtLJnXD1jtmwKe3KT8YVMOE7H5Y4cymWxqpUsuhb12+BBx5/DuaP79BijRsPW/WZmtRDWcXB6jKULf8Z72S6eM+M2TzJfYvqA1q8ZLqD4wnDUbtS9xQTz7PR733oJxB3oCUQYgRaxyyqNX6WYAkUp762lLDgOTjI16Ntnzv8Do/fblEyT3pJ+oT2G/G0zB/fMXKqydVGENFkPibL9rm9VafsaKiftBd7XzXPmGbdFFnWzeQ7tQZAsESwXMgFWIdaR/ZeJ5rVhml8m+Cm071iajfMGDtqEVSR1/TYYLot6pKftQlXtQmmOc/SBzfSC1FZeC1LeTB38bLgWGRECndxiR6OSPpbr34j/U07wQWub7NBVXneccbyqu98OHyRdJureApaoyy6y5+1KaqjFHxU3qZFWjK5U2PY2QleNLET5mbc3eKLazIdTZG2gWxjbStkgUCQZ2zbqMV4vaByMY6Il5C4yP3tjbB59liudMj0U6RDMlnlwvpVRJF4983b4avXbob+Do570STqSuWNKWNaYA3BRWSNyqEU0XU47XtK5tDczrPqgak+IQLI7AjOWjtVLDwAmD+e3Acm59QR9TfWeyanEK7HNGFLPNkDR3KvKSNbdPnaK/ULVAIhXpNlCZQmyx1chWk9LfDDF26Hb16/RVgmqUmL5MRffZGpv/P85Ut3EeLRHg037rcVhlHdUFA+VZrY3MjGxGSKVQ+0nJrVdgLYl1oTFrJlKLthr1pKNi/xpPmtFukbee+0I1ubphdV7jplG+OBzfueql1wlJ0vGE0Sb+d33bAVTl9dbenBi4qfeBK2e25hhRjh8bTM3YSDJXm6cwoAoLGupuo7E2Wnkm3nbxh2f3bEwv7R8ATqo89lxkwHx2G87EvuJWQynF3x8H908w7oibmGZcmgetKe/o6b+iET67oZYvctMS0PBLUJLvqFxroa+OmLDoN7XrJT+nATQOq+S0fuUUn1jGgprVk8Wv3ubWuEmb3V7o71xZv1u3xCq+Z6kpWTVhU+dP5qoefT6J7Xs5K3baAXtg70Cof5qUvXJ+4RqiBktZO4YzT2fUpikdyQKUsRi8s0ovWQJR/3nUAcLjp1jkvrZw6PG3H35h5Pi5AUqARCjEBz1ZJleZHmuQNi7t14N9EAhu+iIS1UVclcPI08px5XTeoEk4297dYG/0+xcpNpCq3pRDvHM8TFqWwlUawHJgZx236aWdGJbCDX1+IwWaGmFDHztbYUwbaBXuhpTW5ypvv9UmJSb45KOdeqHA3USFZ/ouIOTqSrkgo+Qygbm/Px8a1qLkHaXNIkVNEWNfG+elJ3c6Z7I583w3VCT6ZY+t94ylLFEIqNyrws/ua88e3wi1t3wttOWzb6u+F+NPm+uVJnNVmuy6MzfxeXnas/1jTljVt6yGJEOXEogaJdpsopcVL/nP7qA+ethl++dJeQdwzqhiMrcZa0+DzZ29VST9yslqWuxF4rcCkbJd9LQ8rmEIdpsszs+kzq+2o5tSy1GWU4HHt2WLT1Ls2lJStM1XKjtscoYvbJ4zvFPOVU4qmvLcE4Disw7nAFrIZUY0qTHitN7rGxxmWROpA1vseDUj0o2dlcD7+6bRd88apNmc+eucav+ywRVAIhhqApY0wfTjmYcSeQFmME5QFZ37PHL5sAA/1tcFHsQtfE+wJyqWBskhIQtk/esyZGMgO76SLQcUjOplLuzjOXw8SuJnjvuau0xJmMP0xLpCxF3t0374B3n72y6vt0v29LIViJ98rts2BaTwu84PABY3GlUzTi9lMgqSNKIB3yOOxSZeIWbRM8i7H2JvlrL1kuvkwftrhi28zsh8BcGedgONaGaFZk5d2WOWNhyaROWXHsYbkSNBk4kMVDW2OdH/NP3SKw9uE5+i9f3JbZwKe08MrCsmaXSU+pFEFrQ63QPJ1696h49JmcvW4qtBEOIPJgonwrQcazoK7WTEWSWS+QyiZLOqaLcI8aSZYo8fXFRZunw5y+Njhh+cTMcKf3tMClW2dkPhc/5Ew7ICO63mVa1hncW2DVLVLzZvY7AvHqqk4eVUtuaFkoagkkm9+686y5vjbRDkjB33LkXOmDGSGWcSigEggxAu1uHt7TKW2HfKaTTumwJipZdwLZ2Hol91dZHbhcL9dcXwtfunoT3HTEXABwt7msfGmdwrs2PXuZjMu2pQyA/vSw/Rq7VZLF4blUfuf8fvjOjdtg+ZQunWIFTZZFwOhlqMnn0mcCbFWFSjn3tjXCN56/BS7enL3Ak4Wnfmc9UjnDkO1CSzzsxD0nhvNf16KVlaese6buOGM5LJnUCa89cbEmOQjfWT2PaBddfvEBOCyjXSeWQOKeBw75WArDNC7GeV9gDbsfuXANdzgqWahzHqIclqOq0Fwvrxyv4NOmMIChrBTsB9LIyGTLVS41fs6EmrRcIHHrMfPh81dupP5ue+VLiq8u424hm01GZm23/6CY5xUtZOQJqa8izn9j38bH2JsOnwtfvmYTtHAoEL/+/C1VLiRJZXZgcDSfGiiHF3S4kSX9Vu2ujsOqk2YIBHb3T2Srf8IdnOWGbnV/ifGbiFIx++4v+2N3vE2+88zlYRyEKgDqM0EEISBmCVR9yvZjF62F13z5N3DtYbOF4uW9E0g3Yi4kDHbAjgwMVFPEffpNMR7R8NJy7R80N0nWuUBQnbjoWOCng+CwshcOUxqjJt35JUsJRKPKj3PSyXPQnLN++IQqT96M62hi/j6o0HAzT3kmNrTMLgJ0Bc9a4FYpFmOfdy/oh90L+kEFz/Y4raLzFKtuXBYLbe4W/zZTGUs7PV/g+gYAsFhyU0D3fFrownmNUWtPRyy8dMhrpnfDicsnwuy+NnjFF35NfD/LTVZ3c/W9Vpky8ShUhUONv8txEEMhfB1U8sCkHEruEkUsgTSEYQoXSsosd3A8SCkbCe8Q91p8KBhBVk/rhpNWTISn9h2EL/ziQQDIToeOtWYFUj7GlWX1NPduaREzpvaswyE8pcZWylLmLZHl5VdE/EiEZTUicugmTqabNM52xAtNMl1tXOj9+HxAMKzbjp0vFldGBLvm98Ou+f0w9QWf5wuP8ztEHFQCIUbIcssWh9RfzB3XTnQrlBlvxia9jY6DeGqYcZKDRrlcdqKxl0F1cukqlTynaOLskzwpxReNYh5ynJZxWZtqLC9AWNHxWAKZxHH00mQWYWWDo+q0Gmf46S8U80m0fcvwkqPJE+Ro5N/RVJ2xZjLsHxyELbPJl62OyuufkkZIySQevDAuXSqWwY+NLlPYvODax2yM16z0HOz2vQvhb48+C2/9xu/tCmUZH8tFB5xDmJawTL/PDJt5sjyC1xyykqwogdLPzxvXDldsm1l1cOH1Jy2G+x58cuRCaBHM3qcgz8Qu9uEMAHunp/nXhwJhEr8jRyRiqUh3ByeWV1lpqfzOdpkl95sqcdFNuYPLgpQvPYRN9BD79CiK4NUnLIaf/vXRUSUQxzsmie8D1FHuGxW1+M3qr1Vg3g/HaHsq95CJUonrbactgx/9+d9w1KLxXOGKxDllTDPzd1vtQ8YdHM+9biPhCNy9ntX31teU4Ky1U9kPIcGCSiDECDRLINKwIjpwDDIUTK4sgWSId+q65ixN9UnTZJcbVU11NfDsgUF3AnAguijdd2AItg30wVd//RDUliLj9U3X5IcrLsbJUS3he7RranIzwp9UklFJuqwij1cZo93ST1OAX756E/zPz/4Ob//mH5TCqa8twcv3LKT+PsSx2TH8O2lBEDH/jpeBaZdUMm1d9ORqtYtBc2mqzkuhl5k/v+P0ZXDJB38i9I5phC2BWKdQFWVxTbooTlk1GQAgoQTKnMvx3MESfE4VD4+mNFXERZMdBq/bOafqu73Lsu/W8Jl4mb3/vFVwz/2Pwa75ZKtR1YMGZDei4u8AVI85ui4RT8Pb90cRfRy0eIaAiosN3Sx3cDZZMqkTbjlyLgyVy/DKL9wHAPz1wsbaVhSR/RLT89u4RxDavFPUawLvHIon1JftWQAHDg7BbZ/7FQDQ8yMC9tpMu7t4jmeOXDQOjlw0LvXe6JsqMh27eAL89V/PwsqpXdzv2DxsxuzTecPQcN+fCXyeKxUZf0YsJFfQ3NqQvxbrHViTE7rySQ2RgYA0mEv3f4IvtjXWwX+ctUJHzEKQzK95fPBW8ElBwGLfwUF43YmL4ZYj58KHUz7sSUloqB3OmI2zejLDVl04JSZKjOfWzRg+wZmeaCXCOhTU56/coEWeeJgq6Dql69oSKFSGFzajOfvio+bBcUsnjPxNK2NX60ld8c7pb4Mbdg9IvStS7yv1UqapZL0TzwvTmzS6gs9aoJqsVtqU4hl9zeEL6f1wFuaGzYjxl+aYAhn7Aej5ndykCSc9eUC0+mQr2AXCUrbe1n8QjBS2L2yZM1b6XRN9/cZZY+HybbO48spW+bjuP0Q20Gnzq+1z+wAAYEyLuMvA8BjNBB1KIJ317PyN0+GweaMKTt66leUKUie6khvPN9PzW567k6q8IWT0YCyZRevEmWumwDFLYpY0jGd19quZd9EwxjvWm0nv4fIeckqlCK7aMQvWzczejxmJTyWDRMVkxCXSL7u+E0h36DY9ExQNVAIhRjg4KHAnUHowyGjvg5SwAcKwBBrxCW2oXztsXp+ZgBmQBpXWBvKFiSSWT+E/mWEaVrnsOzAEHc11cP7G6dDf3pgZ1jev3wJvPnUpnL1uqlK8orA2T99xxnJ4w8mL4f8dvygznPnjO2BCZ7arDB5su4NjobOXOHf9NPjqtZuEwva/lyKT3rg4d8O0EUUnCxtu2YjxBpbTpg4xACTHXvOWQEaDB4DqOmVWUZGKG8rUNB69eHjxvWhih3R8FUW9K9JrLtG784pMVl6E1SP5CdfdMpKVUuigSY7rvc60bZo9Ft50yhI4d8M0jnjly81keWgL2vM6oyMPL948A950yhL44lUbq36T6f945nHMJyzlOc012IgYhuTQtam7dvrwvON5HOtV24gctDC91uRRAgnPsZlKILX0UC2Bokjv2kzhgAVLivhrRr14cGSzyfkbMw+IskmOlZ6PQWlMr1eLDLqDQ4wgspkl2rxZip6sO4FswNtfxTdaTHVxtvpOUjwilkALJnTAJy5ZB+M7sxUraVQ2ekXffO6gmHu7cR1NcMxiPiUK0YKMNTFkhMVKV0dTHRy3lO3SIzHh1lSHdAzkuk636pxIXrZ1BoxppV9imSeyFldR6t8KstmtqsTRrVM5YflE+O//+xuM62iEBx5/jvnsiLI/8R07/0YsgSTqedbJurj1m9SdQCIn5GXcwQmGo6sNj+9ohLecthTGM5TdIpssbzx5CZy8YhIsnnRICSSQF7ccORcWTeyEVdO6R747atE4+NzPH+AOQwfTe1q1hZVpeaEtJndEGuZyKkNbHvLQFiKnlTPD0pjxusswuXEm3lnqPC08rr0Rjl0yIftBBlnSmNicc3F2hfeehyzZZK3MqtzK0p4jyFShvrakXN5ZZKbJQaeoxRKIIHh2WXOGnfHcfzxvBfzkL4/Cuhlj4PVf+S1foIpcvnUmvI4jrsQYS0hHRP1DP3xKILEwZdfHI7eIMub/LAtmd04xRMbZVJ+UURdkIbY9fcErobp/QsszE+Wve9/RpwPEeQMtgRAj0JRAOk5mk8Leecj65bwN05XDN0FiQn5ooKmvybaUCbnvE1ECAQxbA6UvoTWN6OT6OYN3HKm6NeE7HasvflGs12VmfOr90E9edBjcdcPWKgWQ701WRT7SGpenXHmVMdrzTvMM9/a9C+HzV26Aq7bP0hru4QuGXXZcsHF4/Mrc3yAugukLJQD2ZfcA6lll2+oq7dJRpX9ZPqW7auzJ3nQgR1hTimDDrB5oazzkUkUgY3vbGxMKIACAN5y8BL5w5UZYOrmTW4YKsiXS0VwH37lxK/z4lh2H4mHje58nCv3C82xczNl82aiwhS+uzlQVJbUG3ZxoPIguEAbtxLl62LrquGyZSR3MYMTFUq6oorIWEKmSuqZXrizFdRAXPas9m3LDpCvU1oZa2DR7LNQSJvqmyuiyrTO5nhPJO5EN8xsPuXm+9rDZ3O/s5zhsLLppz/s09bZtRvEwD1NJxWaXxIEG25H7kQVaEWlLPnjT8GS6l0vQEggxAs1ah8cdnEzYd5yxHB55ah/0crjo8oWGOvM6WFt9J+mOlTZBJZBubthdfamtKvs4TgDJolpWPKc7eOfxWjZZUkFosQRSDmEYHRYi3S310E3wec7lDs7hvEol6izfvLR6484dnF5qa0owf3wH3Pv3J7jf4an2bzttWWL8MjLpjZVBqC6W4/Uo3YZN+rmusmyzWJ3rakowb3y79T5jYlfzyOfM8UDFisXzusi1oZpyVoP4i847gVSLurGO32WyKMr9oaNq7FN/EO9zdYmla5wyNRyw5umuy0Y2flv3LImsm0TGc1357rr8SJRKEUwd0wx//tcz3O9kpUPEcuCSLTNg77IJ0Cewd8RjCSQK7/pY5j5bqsI5Ep/L8rpte/HR8+C0//ghXLplBrz9m39gypFFcm8jffhLX6XmcgdXLsOrT1gEN/z3z+H2vQuZz4ruebDWyaS1t6yFp/kDv3ojqAl1wRoAaAmEGIHmlo3o8kVwaBgcqg67VIqMKoBKGR2oyEnZyvv1sdM29EtCw4BQJHDzkXOhp9XCxaCESnXfy3bDpVuyTxiJnnJgWQKpK3FETw5FjL/50kWbc5gwty5ZHm1Y/UrIJw9dwru4EqkzJk8ayRYzzz1HWYiMEzrGL5G7SEiLEx83CFjt1IcTajY5SBpkM9BVpJdumQFj2xqklIeuLzqXIctqLk3WeGm6rprIYR/7AxtY1AFBU/2oEki7dZNH5efSLXVo8KbB1BT2dSct5o5T1zw6q+7LRGNr3BERjatsc1CHReHJw6TLVdL8dfS7eL/KA0sBRBq7TdwJpNruqz2DjH7BWnvLKJV4WDejB35922644ZClVRpZBUYZ7DaRePkvntQJU8e0wEkrJsGvb9sNp6yazHz3Xc9bAZ3NdfCGk+l9aiIuljUXVwh8c83Quhi8E8gcqARCjKDbEujVsUvsWXcCmWJiVxNsH+iFYxaPh4Za9gSD96ShDUsgl0wZ0wI/unmHk7h5T1hmuoNLDZedTRaUWoz4E7/JbMg5HEv13AmkQRDQf1dMUcgqQ9qvphYaWYhuvr7nnJUwvacFPnTBavaDQvVQvNLqMLxI9x3KdwJlxNrVrNY3Cm8opS2BJPsGnvu8iAo9y33pwUHxNqSr1fW2N8LdL9wO1++iLOgVlpW+uPbiIS5rC2WjKSs1RTp/8F9nrzQSri81RrXuNgtuVsrCVec8aYd+SFGNrvl25Tt6eBrmyVW2ifxhzh/fAatTLkmJcUSRtvEla+z3uc+0caBM5P4nYzIYj4GfrOResW0mzOlrg1uOnGsk/uaG7H47bb2gqwzlLIFoh4z1Kl/TSUgr43TU07RMpmt+PL5PX7puxCKHR9G4cmo3/PRFhzHvYI7XUVZ2K98JFP/s6yBLwfYB4iKBWYsYgTZQkTblePqjk1ZOGvlMu2/IJFEUwX+evRLefOpSbWHGLYFo+aU6aNrq7Eny15Qi7ZNTG4sB0sTog+evhlVTu+Gtp+kr/6p4FbNK9bK/iPpZTxnaPs3Bis71giZUK4Ysd3AV0nVGtt2qtndRxcSWOb3w9edvgeVTsjdBTKKjzVXdCRR3bWOgLb5q70JYNa0b7jxzubYwWXKqKhbfe+4qWDW1m3NMT9dn++33AIcfepOEpKyp8MlL18m9mGgr5Ec+etFaWDW1Gz5xSTIOUj5ltedrdswObmHOw9aBXuNx0PJNOjsFCkLZEih2WEl38SfmgxLzDb3y+FO5xayU4+/5kwbTJC0bI+L3AG6VM1l9qglvBnEqae8XuMc25Brk08E5UnlO6h51XzumtQG+fM0mOH+jmTuir9kxG9ZOH8O08BC+k02zBSDvpj/LW4uwEiirTYoFZ50s+aTuhct4J15H2fc6Eb4TkkP2TT2oxIiWQObAO4EQI1CtdTRMJGROxFaw0ZeQTZWrf2+ILQAPEMyLZ/e16RfOEPENuYbaEly9g/+SxRBYP7MH1s/sSXyn33sHu96IoHO+npahub4GntlPd4s38l5GOC5Bd3By1ETscqT9xlpAxotCV6m8+dSl8PVfPwRnrJmiKcQkslWZuw0YsPIzXeMndjXDxy5aazQOnXVl8+yxsHn2WOrvWZtf8a9OXTUJPnz3/YoSsSEdfpna00x40hzUDXeJPsEGyyZ3cT87pZuclzT5F0zogI9dPFzf//bo6H0GpMfjm/CkenvVjlmJMOLM7G0lC2AYj4brKlTqlA4rSx1yAIi7LRLBp/Lzae4ngol5YvZGI29IdNl05nc8qCp3cBKjsEqe+qiIu3H3HHjiuQNwwnL6aX8RZFLIeidubaiymWpyzcQTdJY7uFcfvwhu+9y98Ly1U/UJRmFMawN8+MI1zGdE6ypv2VS7ZMx+hypLBHDehunw24eegl3z++GyD/2ESwZZ5o1vj0ctSXLyrbWvIwTmy04B2c2wvrB8RuSOL0QMVAIhRhgUUNSIDpYyvvF9gnQn0L6YEugzl6+Hj//4b3DtYeqKFFt+keP7UzcdPgBnr59mJV7TsKpmS73e7lP85BD9BeX5OiPsz1y+Ht7zvT/D+M4mePWXfsMdpBZ3cAL1mfWkax1QiPdkAMhf0Gjb8umYxePhmMXjjYXPM2ZVytjE/JV8Kowdkes6rxubJ1N5Sts0pIM1l22dCW/7xh+Mx51FmL3ZMBtn9cCMsa1wyZaZ8Oav/575LE86Zdt7uk95xXEL4NcPPAEXbZohFyAixSSKMpCETksg3STuUchZ309D9P4ul9BdNJGR2fw1SQT2Diqqzh9NFHmlHnU218PbTls28v07Tl8Gl3yQvJluTInFCLavvRFuPmIuNNbXQF2NvPMfVy6dK2S17f6ORnj76fqs0FURXSrxPi7nDo7+fVN9zYg1/GUfEg6aiy9etRE++MO/wJXbZymHZbsa2jwwyurnVPcM4u8nFfv+u+JESyBzoBIIMQL1TiDCd6Lt27FXlEx4N+jqaka/i180uGhiJyya2AkAAE/vO6hdPhPEBwrbZuMq0akM8F0t9fD6kxbDtR+7BwDUJ/iqw1zcj/eUMXwbGbTUs2SZ2dsGL9+zED7907/zCwd+neZwvaAJ1R1cVh2nTVRlXBiYYtPssfDt3z4MK6bwWwnYRkc+pMNQXcyYbr6i0g2VyykXd1rFSbnTcN93kSygm+tr4dz10+Dd3/2TFRlEcmHp5E4zMmguijXTx8BlW2fS4+PaWI4vsPUIOK2nBU5fbcaSMU+Itk3a8x88fzX8+oEnYNOsHuLvOuJOEz+lv1/zwkZUsvTz08fqs0Bz33sWiwhSlhOaLOfS4Zy2ajI8+dxB+Nn9j8FXfvWQdBw6ZsO27wqhcfjCcVzP2VwDXLBJ3S2aa3dwpt376Sa9cZ19JxBfuNQ1e0T/W96jSHVsMsuIuePa4eV7Fia+kx07y5BWaARQGThh5S1JqSibch/WMyLgnUDmwKxFjEC7t0eHVj14S6DKv7GOWPcCcCQuS319vFxdb7CLoCrp3mWjLgBMbLKyii/+2yVbZsCFsRPDCyZ0EO+6YNYHusW4FrTURYEwjFpKFRReS6Bq91nsDF92aMN4z9IJqfe4RePmLacshZcdOx/uPGuFdBgiVTmhTOB8U873NPv33FX5qk0fc4NdlUINDFl4MX6jHazxYT0Xr693nrkcbjt2PrzrUPvSLZ6Nvjt5F4jYu7rKw9XmRn97IwAA7Jzf7yR+HkzkzfqZPXD+xulCfa+qFK0No+cwmw26hhNpMp++bD286ZQlsNzRIYnQNqhEyTxII+kWygbpOGtrSnDZ1pmwZFKnlfhDrxl8lqQScz9xUYRhrett18UQ6oGoJRC/OzgZSyCK1aHug1MhFIwgvqybeF3V0apH0p2iSLwCDxuC1DbyPk+wBVoCIUagKWqIlkCCQzpNweQLWakh9V37CXcC0Z71kSFPlEDvO3cVTOjiv6gzC5vZrzKonbZqMtTXJnX6xyweD2/86m/hjw8/PfId72k5HfUunR4f6vKs3lb43T+fgj1LzbkK48JlF6YQd5Y1l8ydQAAA/3XOKvju7x+BbRYuEu9oroMzFf2G89RlpdO3Ek+kvxFVxIVAOfHZp/SYl4U6p/IpGwCgo6nOawWCCgzX+uphawhDB5+7cgP8+M//hh1z+7SE99VrN8OO139LS1g60JHPvW0N8M8n98GuBWr1vLamBJ+9fAPsHxyEtsY6DZKNEq+rIn3Ekkmd2jf1RcZC2qNOlB6K78vclaalL1H2SpA8ukKOg/zZBKSyZ1k+AKQV+foF9G3cNY3J9PLM5UKzBDK1Sc27/RVvw5JevIXLXCXJvHFV7WFozGZrh6Yp9Z21RpMtQxKJuYG+YI0h64YeyQaVQIgRRPQ0oh0vyS2KT5AG/6w00pRAyrIYCbWaeHm7dNe3iXHRt2lsu4PTMWHhaUm6JrNa7gQSsgSq/u6Tl66D+x58EpYLXBiOjFKSvRMoo6J1NNXBEZxuNELDlxNL3m9aCMqX1omYPNVYrVADsL1tL3LPom1sVnHbzYnv9Db5s1K8jrqNntYG2L1AX188s1efW7EKrrvUr1yzGX7/8FMjFqwqLJzYoS4QAReWZC7LpVzmjd9t5XERu0qcPH2bDy6ZfHEHx8LYlUAWGt6QwcO3PHNTHsWkCWTnzemlUlYwvOvj8Z2NQuEC+NluZWMul8vSVi0ho3N/yYf+WgTX8708g+7gECO88riFxO+JJ3oEw/bdEiib0RTP7hteIG+e4055oQNfLIFE8UnUE1dMEno+MahznirkHUxplwiqED/NYcPig0RbYx2snNotrcwoOjUlufrgl9WGOvKXv5sLv3qRkPw7a9j0qS/kweY4U33KOB23+f7kgAducKXqfYBdbfxEprg7OILbjnL8M59bvwCzzQmi1sw6NhQ6mutg+ZQubxT8JJKnff2+1J0rDH+zWivpdK6ZPnzXZ7oE2ZeIZ+c5b90VVYKbRCSewKYzI/g6xPq07RJCX1CKIhjTUs/9PG+amutr4e6btwtKk23NpwOVfl71TiRTmFhmUO/OZb2jWlaSB5V8WBf6dJ903kAlEGKE01ZPhp+86DD46IVrEt8T3cGJWgJ5sBnCIis58fR+4cqNcM9LdkJfeyP52VC2AmIFa/LEkG1s+oef2dsKl22dkfhOdZNBpCRE61qWaNUKqNFv3iV5H0sgrSGTUFtI1mm1ys/pp2StwFxvXulAblHPl88i8eQhL+PYVMOky8PFwkjGAtqWnMkDCXnppYeZOqYFJnQ2wUB/G/UZE4cm8paPOsGc0Y/J6qbFal3Txeo2N8BI43j2vHn0gU9eug4+dP4a4nPW+naqMlVfhTGdFl/6i5D7dNeHO0Oz/ihFEXzvpm1Cz/PS2za6X1RDPQURD5s76ASkEn/b6UsBAOBlexbIBXoIbU1BY2UgyWSi1susxbjvjBIO2X90eJFByKASCDFGd0s9rJ4+Bn73isNHviOdghSdGIVvCTRKbU0JOpr0+gKPY2vSGZ8g1tXa7VZU7rogDsYaJ0yipOsCSxSTZWsi6LbYJcg2LHFw2qAf2cnYWWunwOTuZrhky4yq33w4aSQKj8K0rka+H9RzJ1fy7xDzmYXpO44SZUxSuvGWkabO9KDH8548r9Fqa0rwreu3wBeu3Mg15uY5L/JAMAerNOK67xfJcdn2YyaNbjOus6mOOlc2emo8HpbUDYV0XBxMMBK+xW4kK8tsyGJyvsXnDi722WLmq1j9N9TW8D8vGP4rjlsA/e2NcPvxiw69Tw+Bll9ZaWuqq5Z/20Af/O4Vh8OZa6bwC6uBYxaPh4UTOmDFlK7cjuCsdqBuCBQ7qBS3ErZ2mEA+Bei5xRx4JxBinPhmGNESSDA8nzdDAMQtJFTC8oV4kZxhcHKg+zS768WxCklf3XorSkT9Q55bjpoLf/n303DW2qnSYYRwki7kOpVFawN7ykBbiHQ218O3rt8SRPnxwErGpVtmwE//+hgcNq+v6lmj1ioZgZtWmtim+oJYg0pxlZcF8p03CXPHtcN1h83WFp5J8rDpXpuh0E22cbn0pt/zoexCAPOJDOZLmMjO65lPCtYFcReYYs+LwrNvYLu+m5pO+dpuXW+7uLIEkr8TSK9njTSnr54Cp62aPNJHpPdGePKLNVdZNLEDrtoxi/gb7YCbSt3Nyuc3n7r00H1AqXmSxtpADMviuonp4lOrxZP9TiZv68+8gEogxD2C/dGkrmYzcijQVD96YoJ0QanJDXsfiFsCZW0U+0TmCSuBsEIvVdPVclxHE3zuio1aw7x9L/nuMQB/F1MAbidEU3ta4I+PPA0AABtn9cBdv3sk850bdw/Arx54AjbPlr+7LI/9Hokbdg8ohxHPqf93/EK48RO/yH4niuCSLTPgHd/8A/F31RrnYqOn6pn43Sqp33SLxxqzywbiE+GLV/H1o/a6mXy1bdFsM5H6fOWoZjgyh7rxVZCM9Un5WpSxPw3ZbatcXriaMvpUdKy8S+dP/E+f0lAhtD1R1+7gQkPUeEGmj+S+14vyGOv1z1y+QVgeEWT6wUp6bY4nean1oblTROwQzm4tkg8UetT/vngtfPCHf4WbjlDZZDPT/U3saoYrt82E1sbaQpouuhwoizo35apl6dPyVXdbZF9S7WttntnbCqesmuxajCp8XHDGuX3vQnjVF++DM9ZMgeVTumDqCz6f+Q7JjRuJkTuBBDIhxLtqjC9CJC0Lbtw9MKIESr+Vt0V8MOnxvUNAtKKruItQbQJpwUGSdPkSUk7LV3yecXnamBbu8ExmG0/7Zj3CdB0URVb7D+N3NkiUQ1yioKo/gazcNaHwHehvg/sefBImdDYBANsSaN74dvjNQ09qlyEJ2Z2Vr6TbhFX3xZCsM3m+UyVPSXNxz5ut9XdRD4L4DiqBEKuQOhzeCcyKqd2wYmq3cJxz+tosTFAArt05h/qbiYuDebDV74a1yAwIVvlFduqU7OBtou4JGtjrF4AD35tCb3sjvOHkJdLvV5eruXz2PS95yLpbJvMd4u8cYVQtQvni1s2Ezib4+2PPag83vSlh9GLz9BcimWk4431Qoiatpui/hYJwkWU0cfcllC+S8+kQZgX+YzJfBvrbDIYuxvPWTYV/Pb1fyapZiYyM9q2/tHLfjPkogoHUn7m4E+g/z14J/3nXn+Cc9VOHZWAMircePR/GtNTD3mUTpeJaPb0bPvmTvzOf0eFy1SaLJ3W6FmEUa/tAduIxBakd2UwTK6raktpd21His8ghTSTP2L3BHSk8pA7V5qR3zXRxJZJufJvk68C1v2BZsgb4PJZVHOqFkQFMskMm0OYCADBy182UMdVuOYtSa0JMp+0694HzVsPtexfCwgkdRsI3f7Iy9jlV4GVI953mc3frnOFNyw0ze4zHRYM2LoTYHnQioujlr7ZFz1VEBV9qzy1HzoUTV0xyLcYI9bUleMHhA7B2xhjXohCJjyus9YeI8p/Ub/PWD5/WArLrsdDXcS6snid0NsGLj54Hk7qbM2XoaK6DW46aB/PGt0vFdesx8+GG3XNgUncT1/M+l+eXr94ENx0+ABdtnu5alBHorlH1ZqRIPVWJ2pSnEvIBHot3AjGiqq8twTvPXA7dLfVSYaAlDkICLYEQ6+ya3wdfvvehkb9Nd01RBHDXDVvhh3/6N+xZMt5wbHpR7bdt9fvBuOapwi+5RRZcOoo2vpEawhRBpD7jnMcMNx8xDxZN6IQtA45O0nqA6Xpoou6qdtGii4gNs4aVFd/8zcNcz/ModeILsvTjJhc5ShthmuR64ylL4Uu/fAB2zx+XDD6InjssVBb+suWRBwuqIChIvsb7Q5fT8/M32tsM1V20yvfokb6ruMxVldajpYvq2Jv1NtGDSEHaMYAfFhYmD3q2N9bBpVtmwnd//wjc/2+y1XgoxT2nvw3meGD5GG+TttzB2aqnpuIh9WNHLRoPv/z7EzB9LL8bUXnYCds1vx++9/tH4L3f/4tSLEXqOxE2qARCrFIuA7zh5CXwvd//Cy794E9g/+AQbJ/bazzeSd3NIydaXKDDlNnnjtvlJPWweX3wru/8CTqb69wJAWBklsrpDc6uKyTu98xWWHRB6Iam+ho4aSX5ZC+eNmLD2yYyfcBz5HP6iby1F9MHD7L6V7oH9hQipyMZ4XQ01cHJK6vvQLN5UpF+wTBd7qL1CFlN8/jlE6zHmTeKll4Z7Nop6oNWtj64vbQBvWqLpV9bE+EISCQuUiqKUbJ8+Nq3uZ4+8lrI+YrL7KPO21J/X7R5OrzzW3+Evcvk5iguDgObXnOev2EazO5rhWWTu4zGA2D4DjoHcSL+g+7gEKuUoQzN9bWwY14f/OiWHfCFKzfC8inuXbTZJMQJjM+snj4GvnDlRvj2DVuF3812B2e3sHYccrU1vqPRarxVeFpHbVtKIXLkvY+zan2hyQWK75P9K7bNAgCAYzmtdctlewvraoVa8u9Nh6yeslw1FIE8NH2V9p315p4lfBssQhurnrdtnyiK5Vzex2AbuGhXvt194l4CJAsb61TX3j6S7nmxVqapsiROfKa48U19fcOuAfjUpevg/x2/SEoGlRrS1eL4EC+F2poSbBvog87m/MztXbQe0SZbcX+NmAUtgRCrxOcRHU110NHkZ8evG2lfxordtQ+LCJ3Q0iPri5gchzum9bTAD1+4natd8JStjmk7zrcRXnxzx2IK023CxCLX95PUxy+fCKumdcOEzib4n5/9I/N5q+nJKI4JXU1w9wu3Qzup3y5AB5q3FJqsW7xtGze66PDkDOafGDryy2SOh7iWIeVpNPIb5R3OdIr0UERLVkY0SStYDqtjw0VT2TcQiQabv15cK4Hi2Cxaf1ItT4kzw2pKESxVsXiRzKxPX7YeGmprpN7VWRdcdxlGLYEcJ04kbR++YA2smsY2DnBdVnkBLYEQq+RhQHWFR3Ow3OBjnva1N0JjXfaESPddI7TFHo8sthC7i8XfaYKP9U4nHme9dWTcNiaeI9QVmexVvhNI8j2RzYNJ3c1Q4lyxmvRRPwzLMU+5qix7af22QPp5F+shobsf9nEzOEtpJOOKETc8zVCUvPLlTiBRqG5rOFaPeSvbeHrSm6Sq7l15X+fJ0r3LJkJPawMcv2xi5rP7Dg7yRayI73WeJp5MFbZR7V3npy3356Zwmn+c7uBUETk8Ey/DzoIcBs/C2sE2D9vPB89fPfJ5UncT1FAWQy31NdBSXwM3HTFgS7Rcg0ogxCquJxKhoTrZCXGyxML30+y64T41zHt6UGLh99oTF8Pk7mZ43YmLpWRDioNMlQhxTGisMzt1iqh/CISRes+80oTMoKGI2xrsGbKn+9d0nVVVTJy1dgosmtgB2+f2KYXjirwNBSp9kuy4mLMsNArOPcQo2rxZFybyLavu0n5+55nLYVJ3k0A8IlKp0dFUBz984XZ43UmLM5994tmDWuKsHpPpZeXjwQGd2CjrQQsTdVY5xX/Le3nqwIVbSdmpvkr91Vr3A7KWYYQiFLY1l9oZedsaW8+VGA9funUm/PzWXTCzt02XaIUG3cEhlinmYiQxgcH5izfoXOSZKFZWmLaq0ey+NuJ9S1knEZvqzVoQZZUcNrPw8VVBtGnWWNg20AvzOdxQqm5Yyr5dtUniaOw9qFkJ9NbTlsK7v/MnuG3PAvjSLx/UGjYNojsd3pLhKP/bjl0gKJFf4PyGjUwfgPlohiJmK8846ku+5Kney8zfad8vmNABd92wDaa+4PMAIOgOjvSdvuELAIB6cjvNk88dqPouay0x8quQJ4D4+/rnPkylU6Qwd/W0/qtannHFwSinPPULtqG6ntScqSJ1JB43KvWGsXfHqX/5Ha+KLCVQuVzmHmuQbFAJhCCWERl4Vbs67CrZkOYsoZwy1e0OThcvOHwA/vKvZ2DZ5E7zkQWKp7oNZUJpO6rU1pTg3WevFH6PN3eSGxjs37nJgSVQuQxw1KLxcNSi8drCpJE8SZmSQyQgXzWZlnDpckQ6DtEoMp6XcwdXjL5UFVp9wNxDfERXvbQ1rOhuR088p8cSyGfmjWuHe//xBNTX2nG2Y2Pa7dM0piDLDCXi8wfaprr+uZkcouUZn0+FOE/yqS3ZYkxLA/P3ZH2lP+fKo0VeQSUQYhUXnZ8PG5M6RPAgGbkjL+OJlvolHCf5jYs3z1AXhid+K7EgWShZSUB+2iANX5xDqeazbB9zYHBIMWb3+DCHoMGeU9lpXR5nj3UwK8yjksc+t2VEDe2bmi4mJ9LuX8Oo1088W20JZIJ42dneKH7nmcvhzV/7HZy3YbrVeE1iyq1vHN5yCqOm+4OtriGk/tJwUN5BKxpTZfayPQvgRZ/+JQAALJjQDocv6Gc+n7zzi14SInfMItngnUCIVbD52h1ofFgYzOkb9t25faDXsST5gmfCLGvC70O9IZFlIUF7FkFcIdMCeU3j2YEk/3Q1eTa5eWDSRUlN3F0FSdEpY9YVOD6MCz6e/DRRCz3IaiQnFGHd5eO9R6xxg9aX6nOtqacD0d3nr57eLfxOZZwX6ftd9p8Tu5rh1Scshjn94vdWyIxvNsZE1yfwE+WJY2MmLEt20jM6EHIHZ1AOWWzNb2nRWLPuFEim7BrrtFWTRz7ffMQ8KGW4cEuueenPue6H8gYqgRCr2PAr6zsiHbAPmy487J4/rOXfPHts1W/vP28V3HLkXK5LQ5EkzOI3WDXCqHXhgv1gMZHpz5vqqu/Wkln0u5o827hQ2ASl2Oy4yh1cKkn+DtPuBfM3b8wgnd6C5ZMKShdJ6xMjHALtg0XRfseF1tD0InQnECFf2EsLc63kBYfP1RKO63HFp7W5FXdwHrUGHw+CZOMu/2zVVXl3cPLyedQMuaENxybbmO09h3ixiKaLVR9w70Qv6A4OQSwQ4DglxGtPWgy7f9UP2+ZWW/v0tjfC+Rv9NIvXOZ64XBTQT/rkq+YlJv9xdw+KLsl04tNiKXzCz0uZWhh/p7mhWgkkE6+ryfPBQY13AmkLKRvm5aTB1EsX7uDyNeZYIxjFIhIaPL2AL/UtzA1effC6xTHJkYvGwXd+/whM7m7WXi9aG2phwYR2+OXfn9AbsGWKthk55PgIfrwt2GwWeShmen7pzUhZbwOiUpgqEucjj4aE8RSBjXQmvLYIpotlCWTDLWWRQEsgxCqBuwzVgpBJu2QcFddr566fKhmCGK0NtbBn6QRob6yzEp8udG7mmVgUsOoKT91Iy8Q8/SdY2XxqV3mYqOcJXzaU8kBrg56zOsp3Akm2+IOBTtpLjjYdkPDA8SccsC37jbz3U/8KlmyBEx36l/IOZ9gmlRAnr5gEHzp/NXz28g1G8lU0zDx2r7Tik6n/Nmq+T9M4/1q6GCundgEAwOy+Vivx2XMHx/9sUtktH2fodSGOySZGD9tMrPGxj0c5mLjDjXknkJJYSApUAiFWKepiWdeAx8sdZy6HL161Ec5YM8V8ZEgwhN78RPxCu9rs4bqryYIciH/wVsnnDgyNfG6uJ7iD4wioaiLtyh3c0FD2Qx5SU2J0NgVtwPSNS9ZhhfCW6SobrKT0coUWpf8ML99sgXlD5qrtswAA4JYj9bjc8omsJmnCOtNnaw+Td2KWShGsm9kDHc3JQ326Wp1sWaEC1x2uL2SPt0WbFnK6oopn3wfOXw1fvnoTHL1ovJ7Agd0/WnMHJ1lFfBnP89y/8CpZTCCquCFZAi2e1AkAAMctnaAuEDICuoNDrOLvlDpf1NWUYO64dtdi+E/A7uAS8UlGrfM0mnUy3MEhSKg8s//gyGfSnUAyuFrE59USCPschISuzWisX2rQ8s+XDScTXL1jFpy2ejL0tTcmvvdYl6GVEEo2q13H5/W6lFBKJ+3JHpgRn7AwWPjUh4TQzlk01NbAnP42+N97H9QW5v6DycNW8SpBc6+lOx+F7ikD9vyaO5wcTZR8PnSggmi6SK64P3HxWnjs2QPQ09qgSywEUAmEWCavnZwIIkNWjsY3LRSt+rDKX/WukTzhU73g2QRsrNWzsY/kk2f2D458ll3kVN8JpCCQAlp9OFtMREldx14YbFs6+0ZfewOsmNIFtTURdDTJucSNb4pM6GyC2X1tusTLHwWsYzxEUVSlAAKwd4eZybaft36FrqQsHiaG9VCVvb6u62wcImKudx11ACaTrXNqvH+QbnFvqy3I7u/50lJd9xk6qgMtjJ7Welg1tRsgAuiKWXjaWFLxRBGXg6QEqq0poQLIAKgEQhAr4I5SKOSpeERcRrieAPEQl9AjvY8wN+yeA7/8++Nw+prJrkUxgkhNYk1CfVLu6YB3HVvDuhlTEtWNQNk1+MHBMAsxXgbpDYgy4TuEQoDZJFpjoyiCj1+8duSzXJyjsf7P5euN9AEIQsOX+R9NirzNBZSxlB8CHpiNUSl7oXll0CsE//DLHZxDQTwlbQkUh6pw9iUf8U4gADA7xkVRBB+9aM3IZ5uIKge9qZcFAJVASO4JuUPxbaOpvjZf14iFvEzQocBRcQfnU9X0yV0TT1n0tTfCl6/ZZEEaxDUy9fCweX2wfaAXVk7r1iZHLiyBLFKKK4FSvxXVotmHzQSfxp04OudqnibRS4SbYo4yd0JnE/z0r4+5FiO3uOjmE+7XWAdkUqsX0t2B7Hj4GoKN/tZ4HDlq867waRrni8JaBFL26VRUHkhZAvG4W9OdjyKKwtAOoNrAdBOTmaPqkInnWth4WyBZAiFmQCUQYpWC7p0EP+C96Kh58OM//xsu3zbTtShaCXkzr4jjZHwSk7AK8qgY8QSi2GRz+tgWg5KESV1NCf7z7JUAAPCnR56WCiNdBK4W8Xm9EyhOEfviODbnNFl9/ZiWevjX0/thoD8sd2ohzgv9Jv/5eesx86EMAKetYlsU+zQ/MklI/TBtjiTbD8wf3w7nrJ8KEzqbDoUTD9NvilI/eZDZqLVR771aK/teoTnJmzs42fSoGD3rrPu2xo/Q5qaq8CgHk+7gDAqDJEAlEGIV3CANa6FSYfrYFjhvwzTXYmhHZ20MsFiDBnuSsPn4xWvh8z9/AK7aPov6TN7KWNdijMtSr9p+RUvcogzyHAPzkBpGJpfL2N/zQsrG+toSXLZlJkwe06Q9vo9fvBbe/d0/wcWbZ2gPWxbSGnigvw3ue/BJWDSxo/p5CzL5wIyxrQZDJ+diiPNvGj2tDfC205ZlPhdSffLJ+4GJ9aqu5KX7lCiK4CVHz9cTeDxcD0a6SlJZdSOkOh4iPp3l8aiLUEOjYi3tDo7nnkbd+SiiKIw/Ktrn+6SPFOHzV26Aj9x9P1y1g7zmdaFozbwywEIcadASyB6oBEIQC4TYpd2+dyG84JO/cC1Ggp3z++Gz9/wDZveZ3DwIA6nFGfPmTXlZbEETEecM7pDN+pVTu2HlVH3uzvJKp+RF82my1hcLCZvRcWTLOdQ7gUoxz6fpvjaUFNlaUyYtnTkoA3UhrMr0sa3w8j0LlcKwkW/vOWcVfPjuv8Lpq/N5LxwPe5dOgIef3AerpnUJvYfjvQEwT/3As3KwYmUSzIg6yuw+f07z26gy7u8EGv3sWRORRmeOpt3BxbG1qS6SnnibV5HOByU1L/PHd8DL9tDXWTz5Z/0+Hx1h8FgCxT7j/M4eqARCrBKqBl+VRAfnTAox9iydMKIE8kXmVx63AFZN64bd8/tdi+IcnpM+0mF7U+J8FLVfQfJPV0s9vPvsFdBQWwOnv+uH0uHQmsj/XrMJfvbXx+DoReOlw2ah0x2czWae5Q4OFyoIL6S60t/RCNccNpv8vGF5fKFUiuCSLaYstmjutooHzo/8IWtuzTuuuFDwT+xqthOpx3zuig3w24eehHUze4yELzOvsLEx7JclUD56cVIbri1FcHCoDHU1ERwQOEC17yDDHZytuxwl64gvxRlCvcpSqHjltvEQon1HCOWQF1AJhFjF9WkSHwixg/Ol1Noa6+DMNVO0hUeqjj4Vj2pdyWputBN4cu6mzONT2eSNKAL4wHmroa+9UT0sDfLkEsmM2TbQlwomO6DqO4HIbX12X5vRU62DPu0eCFCjyTH1plk98Oav/U5LWKLoPxwg9n3Wb1IyBHgyXXTaKx479rgIorsdhLxcjbIOMfCHNPKpv6MRPnbRWmhrVNs6qnJllyWNREEk3U0Jv05lwYQOWDCBbTWdR45dPB6+/duHXYsBAPkZ7Uhz8u/cuA1+/rfH4Ku/fgg+9uO/cYdV5Q6O8tkkQpZACcsueQlztSfgYLyxoTSaP77deByIHKgEQnJPrgYJixQh30jDX8gLv6JShLpqmggA1kucbiQ2FywPo0wek30it+pGIEf92kENdwJN6GyCvz/2LOyyaAEa1wGl+xeRTawVU7vh+GUT4RM/4V/Q68LFaXFEDrU8xEkLLyEewlKFR6mpI1dc520IRZslI28SXLlQWzVNvwtf3rSIFG88n/1c0+kTyka137tsAkztaYZP/OTv8KEf/tVCjL6gp5x462B/RyP0d/TDV3/9kFD4LHdwdEsgvTVH+pB3AP22DbjG6RAGuUP88IXb4V9P7YcpY1oyn/XRgqkIlLIfQRB9YDsPc7wLUWbbmBibmSes4yf9pMNnnxb0maxJQ2gu7ZBqcGKY5GcvPgzuvnk7tDaIn99RtsKVbE63710EAADX7CC7vuLha9dthrtu2Gr1BG7CHVzVnUBlof7l+buG0z7Q7889AqYIaZHqK9jt8YNZxUEBMslEm9k0eywAAEzvyd7E0kW8/2SlCRX8+cTX7I6iCJZP6YY2ibknQobVhEXbN8vgnjYn0+4NTkBmlTtgTCnAfW17cUJaE/e1N8I8TiugOYfWRp3Neu7ARfjA3hyxCtfFZ8alcEuIk+pwhh0xSAOqT+Xzsj0L4Ph3fA+u3zXHSPihXciKG4zmkM1bLBF+VKtvZ3O99Ls3HT4Xvvv7uwzewUHmpJWT4LB5fdDVIi97Y10NTOq2ex9B3B2carmN62iCn9+6E5rrahSlEsNed0mPSHefrctN37FLxsMXf/kgnLRi0sh3Lz5qHtz2uV/B609aoiUOe2AvnIZ6+tmuGIXC5AXkLmaqPa0N8PNbd0KTxX7bTA4quFvSKIUsqmWf92VD3tMXMptmj4Wf/fVR2DxnbNVvrINZOvs7e+7g+KWO772oyKez7rtuRwHpd7TTXF8L9750F9TWYGdmE1QCIXYpaCcXQuf+smPnw/t/8Bf47UNPAQBaUvjA8ild8LtXHA51NdVGmzylo+q7G0EQNZz1o6lo541vh9+8nNyXmEZFAeQK1oZmuSy+YGxvtH/CTfe8w6US/o0nL4FXffHX8PbTl2kL77UnlhPt4dwN0+DMtVOctJE4rjcjkHxha/lx4abp8Plf/APu//ez0mH4Vvd199u2kpcVj2/5zEOIMiOho1bp3nvOSjg4VCbPKTR2zB84bzVc+7Gfwav2LgQAgNqaEuyY2wdPPHcAplLccbXU690fkPX8jIc7h+GZr/PklUh2+rQ12YJWhtbBHEdyj2/KDN/kqVDL2PjwU2J1fBoAafBsSNEmBm86ZSlc9ZGfwr3/eGL4Oa2SIQgZrGfuIY0zrje3Q6IkYAlU9DWsjfTvWToB9iydoC28KIqgjnDq0Ic2EsKhIZf4cnIYSdLdUg933bANpr7g89rD5lFq5KFoeeunrS4i1PYSX8+atFDzAZt7CsUbmtRSTJtnZIUsOgfYMKsH7r55R+K7dz1vBfHZVx63ED7yo7/C8w15GOEhnj6l8TwXvf4wOjyzlAHnjwg/qARCrBKa+ykjeDpmscTCUguTmb2t8PkrN3Ityj2tllzgpEcdneU/racF/vDw0xpDRFyTp8UWDzWMO4EQOumcIuVc0eaB5t0gY34idHjuEfB9nzwrBaHMAbNOchdxrMkqO56yTT/T01IPZ6+bCnU1kdQdiq4YZF3uQqNgVcb3vooXVr9sco502urJcNrqydrDlb2vxpfydC2Hj2OYjzIh+ghnZERyAXYo/hJFqdMZngzMRtFYH20v3kyWj26TYxNgV6IXneX5yr0Lof0L98Hpa9QWGnkrYxz/wiF+9QypbfgyPPpwUawveZEXiqYks0kRN9lDwvW80idY/YBIt6+Sp8G2lyiCW4+Z71oKYQ7GlED1NSXYPyjpYytnNNWP3stlw7KrthTBwaEyLJzQYSyOyax7LgOcAsjoLwHU+hitdwI57utm9rY6jR8pHqgEQqwS4LimnRAXOQGKzEVeNlvyWj68hNim8kxvWyO8/uQlrsUoNL3tDa5FCJqEO7jUbz4oXlxA62dZhwawb7ZBsTK5WKlVp6DdlZfou6uHXai6+l2f+m/WJm1azlA3VA/ElD4Ntf4pgVzNfXpaG+BlexZAQ00JGutqsl9Q5EtXb4SP3H0/XLxlhrE4Tlk1GR54/DnYMLPHWBw2EdlPUTpwnLPx7JOXroMv//JBuHzbTC3hCd0JlLO8RMRAJRBilaJunoQwakUQeTXhtwGpOoqeBulpbYBHntoHWwd6NUllD1pzDK0a+NSt+CQLUjzee+4qeOTJfTBjbJibIL4QP22abtJLJ3clOsmijZuIWVyfSM0zRWyrRZiSRFGxyjZrnqlNCaQnGCVED+u9+Kh5cNTCcYak0QOt/A4MxiyBaksA+7LD8qGMbHDmminW4prZ2wa3HDXPaBx1NSW4YfcA8bcQ+2wXa1+ddd/V+LFschcsm9ylLTzcg0B4QSUQ4h26+y/fFgaeiYMo8vkrN8C3f/swHL14vNV4ZTaKWG2BxwVcSOQsOYUEJ7PibJ491ki4RWtP8TuBKn76v/H8LXDP/Y/BMYvHwyNPc+zOFISCVQ3j5MVC2SVYJ4uFrCuivKJLkezruoA1Nzx3wzR7gmhmcGjU8idujczCZhHhnNwOIR6YFpEY5zgI4p6SawGQYoHdvr+T6hVTu5Imuu5ECYq+9kY4ccUkKybqNHirVIDzSi5I6XeVVk+bdyZ4+hxBRinFZsdDhzqTaT0tsGfpBO7NmSKS7v+wX+HD13mh79A2y45bOsGyJGHjSzuVliOQuW1WM4//rjSHjYgfyQ+EAkPkvKxt4pZAvNMMX9ouoo8Qq7NIG9R1/zTOm5KI9oMhKhsRfaASCLEK9jf+8ZMXHQZfuWYTTC+g+yCsj2R45lWup16+lp2vcmXiukARRBCTbS3hDk6D29A8QEsxrsMzCHZQ8BOejZ/dC/rhc1dsgNNXT7Ygkd8UofoV7WR5Vmrz1CUXof5WOBizBKrxcGDdc0i5PtDf5liSfBNinZdVKPgyl/ZDCn6o7vxDSwjiDFQCIVYJcFzTgg4LG1MDZXdLPczqwwldaMgM9HmdHLz0mPkAkPQZnde0ImGB9TBMakpsJZAvnLl2KgAA7JzXV/WbLblF5yY+5yfiPzybTVEUwYIJHdBcX5P63pRU/hKSgkS2fIbK/mwmsrB1cl1XPDbEDad26oNWPnFLIB+tHBZM6IAf3LQdPnP5Btei5JoQ28SQwMROV/q0thAP2xsvJy6fCAAAV26fqXV+/fqTFusLDPEOVAIh3qG7G/atW/d5nInL5uMEVDchLY5Z8C5+62voXb5oaW8d6IUJnU1w+IJ+wTf1s31uH/zypbvg+bvmuBYlWPLf2hEVilY/4pZApMVtYqx0mDsze1vh3pfugneeudx8ZBJzggJMI7IpeCa49J5YhHlsFkVQuubFrU18LGGlKCu9Ptd62aLKU1Our6UpgUYtgd586lJobaiFl+9ZwAzLdr70dzRCfS1uH5okxP5MRGKfPCrfcuRcaKmvgVdktDPfiLf7V+5dCL986S5YPqVbS9hTxzTDL1+6C/Yum6glPMRPal0LgBSMAAe2IlG04ilKel99/CJ4+zd/D6/cu5DreZ5Nzca6Grjrhq3eLMxaG2rhiecOuBajcJgs/4I0T8RD4otU3+thSwN5Km+rb/ZFIeYtwo7azYjhio9cuBau+/jP4LZj9WyyqCh2sH6GSVYTGspZm8ki0x1cxoE+3iaE7cUMtSWyEiV+UG/5lC74+Ut2Zt5B6MsaTBVU2I8SYncmMs2Z3N0MG2f1QFtjrbBCMR6Njipz/sbpcO76acHd9Zn2MNRKWQcww6B8H0WRVHhIWGAJI1bpa290LYITEoOW5KQ6L1YrPtHb3uBaBGlEatFJKyfBSSsnaZchtEkTgjglJ134tJ4WuHDTdNdiGCXuDk7EzYVPBCp2IcnzSLpqWjfcdcM2beHF78pgWTcj/OD+a77IWmfyjg0+1Is8jmN1lH7rmCXj4TP3/APWzegBAL41Vl4UdSFav5hibGt4exMTu5q4n42iCN5/3mrlOHUpDkPfy4jngw99NhIGqARCrPD+81bB+77/F3hZYOaWJgilgw5ETCWev3MOPPLkfti7bIJrUZwQ8pQblaJ6CaVfQtzz0QvXQG/OD3TEF1WkzQlsLvJgz11NXew0LLraYdNUXwNXbpsJzx0cEu6HcJwLE55yy0PZxvcim+pq6A9moCsvfMjS6WNbXIugnboacs421NYIb45P7WmG7/xeh1SIL1yzYzY8+PhzcFwAexOfuGQdvOObf4AXHTXXtSiFgtbHoy4V4QWVQIgVNs4aCxtnjeV6dvGkTr2R52FlgBihs7ke7kjdpRBkddEgc5DpTpGDJDjDx9OEeDLQH4rsqqNoroZoFLcGmKe1oRZuOXIuDJXL0Nlc71oc77l2J97/xwvPOOpL904ToyhTgdqaEtx69Dx4ev8g9HfQFZxZ+RFRPo98x+sOzkK9oKXlk5eug4//+H64ftfAsCzmRbEGzRJIhut3DcDgEMCeJeO1hemCIs8x03Q011XtTfjK8ild8K7nrXAtRuHQMiYWZFxFyKASCPGGr167CT7107/DhRtnuBZFO6EvYIo0OWMtvHzCZJGEUNxZSosQ0uAD03pa4E+PPA1bB/iU9IgYWA3DZ4igBSrSmJhF8v4Jd3KEzvkb8+1i0QXp6ljE6smz/PBljYL9KsDZ66dlPpNZXDnIxv/f3r2H2VXX9+L/7JkkM5mQyf1+IzEEEgi5QUKCSoKB0ZNDTVWK1ipEoQckCgnKRW0oUMAeD7ffIW2KPBDUnwX64wEroUAMRKukBwFjRYWqzc8gJQkcgZAUE0zm/MFhmAkzk5nJ3nvdXq/nmQcys/ben7322t/1Xd/3Wt81e/ygmD1+UNJlVESvDq4E6okBfXvHtV283yuQP21C/xy0/VSHEIjUmDy8f8sZP3nW0wY6yTP1i3RG/ruGHRY3fXRmDO+fjTAoT0Z3I4Brbzo4Awjdd+efnxD3/+sL8ZE5Y5Muhawo2NdsTDfmOi+iztpdTTJAdZXreDGtfeqsTwftXmbAoTAdHIdKCAS0K6V9/6r44Mz0z8PbWrk/qyQ++v/nY7Ni/qQhCbxysY1orI9Pv/vgZ55Ci4IcZNz/2XfHK//5Rowd1JB0KWRYQb4umZDWQe2k5WG15OE9lEua7wn0odlj4ufrdsa0UY3dqyVHH3A5p4ODIhFyvKmS6yE/LS2dEQKRe2lrzNJ4742DyVPnOz/K+5kkvV3+0YzuzWetI5h/H5s7Pv75ly/FrPEDky6l8Iq4BzhmzIAO/1bE9dFRN6CI6wKyQl8pfw42O8PBpgdKss1eduLEmDqqMY4d2/H+Ne+EQEC59HSIrqO9iC5DMQiByL20NWZZzFOKNB0c6fODSxZFQ5+D764y+NWiE/9l+qh4eMV7Y/zg7F6JMajf2zd571dXm2AlZeSL1kbWp6appKRPLqDgSp3+sxC60j6l5Xt6KFWk5T2kQdlO3KvAKq2tKcWJk4e2/Lsc+8+s7YHLeU8goHg6PClL00IXORUBqiCLg0Su/smOcn9Safvoxw5qiMGtBtMj0lcjlTFlRP+o753d8KR3bU08fUVT/OyKpujl7M+ySnK/WsT25wPHjIpSKeI9Rwxt8/siros0sf45VGndhj48+817FZ79HlPWdkdNB5/nJ+dPiIiIz73viC49T5qCtfRUcujcEwg4FB2dm12Oc7bz1NbSMVcCkXtpa8zSVk9XCITSp+gfycE6Omk6eM0z6/ngDqvT1SL7BvfrE7+48v1R16vtAJY2gKwoer/pQF9eMjXWfO/X8Zd/dHTSpbTrf5x+bFz9x8dk+kSQSjho/7eD7fzKDx4TX/wvU63PhLkS6J2sEeiZno7RpWGWn4Y+9kVJcSoCVFkWA5U07Cgov9afawY3y3do/R6yePUdpFUe2gcOXX3v2m71YWw3lXXgFbJwoM6672e/Z1L86EuL413DDqteQZ05cPq+Uklg0Y6BDb0PskSp1f+1XandWZ/a78pI+p5AB99+qs8RG3Rd1tvmOz41N941rF988+x5SZdSWEIggIwrf7CY/t6FXBJIiqtf3tbd3U/RTiqpxNv9/86dH3MnDo5vfHqufWE3ZPEkrEN1sM0jN+skJ2+jM3/78dkxf9KQWPVfp3W6XIpvCUREDEk4vP9/z54XcycOjnvOm59oHUDPdNTvy8ru/KQpw2LDRQtj9vhBSZdSWOYogSpo3VhnpH1uIzcHiTniE+mcQVooHwPNHUvrukniakhdheo47vDBcfd/M4B3MPoB5MkHpo+KD0wfddDlyrXVp6k9T1MtPfWVD02Pn/z2lWg6emSidRw9ekDq9h85+HghcWk9HiF9XAlE7qWt45i2eiCL2vseGfCB/Ej1vjLNtVVZZ6vCaqr8dpzq7wmJy9KgkE25PMp14p4+dXl9dO74uPZDx0ZNjfV6oOljBiRdAhlQ5Knep4zo3/L/5Wjii7smiXAlEAWgq0XeFXEbz9LABmRdEgPNvuOHJq0DeEX7WCu9Hb/vqOFx54+eizED+1b2hSDF0tnaJaP1ukh7SNyT9lHfIH+Wnzw56nvXxPumjki6FEilM44fF6+8vjfmTxoS23fuqdwLpXyfQXkIgci9pG/AGHHAdHAp7pHrV2dHObajjj7vFG+iQAIMumRP1c6YtL9I1KrTpsUxYwbEKdMMntEejXfRlO2eQClq29N6UgPlUd+7NpaffETSZUBq1daU4jMLJ0dExINPb2t3mbK02boMhSAEIvf69Eo+BIIsyeqhVpoOWCGvqjUYk+bvc5prq7bOtoc0n/SSFw19esWfnTAh6TJSyeZHEQlMgDxyQtqbOurbWD90ldFxcq9PCq4EygqHDdlRjs/K5w10V7WuMMnKwUxW6qwGg4+QLllqn4TG5VG2K4HK8zSdeusKxuH967r8GJsJUGQV3a9rXwvBlUDkniuByLueHhC17kM4qALoGs3l2+w7IL2yFAIdCgFSBVRhnU4Z0T9+cMmiGNKv6yFQUbZpgErRjhab0XFyLw0h0BEjDosxA/vGsWMHJF1Kp+wPAOiMqz3aMvYI8Kab/3RWRETc9NGZ3X6sprQ8srZPGjuoIfr2qe10may9J4Bq007SVa4EIvd6p2A6uN61NfG9LyyMGq0zZVLJTSkPZ1Tm4C0AGVD0s+k0tZ2r1vSJ0J5qb3//9djR0XT0yKofe2mH3lauEzVqrFSA1CnHPYH0TYtNCETupeFKoIiIXikIo8inIp6ZP7yx61NHANmT5iA3D0F5uXS2LqwlkmT7S0YaTr4rstZN8qHsqrJybNFc9DMxgELR5HGo9NLIvT4ORrosG919KiErB3vfOntevHfKsLjpjFnv+JtxWciPgx3kOAhKnwPPLKypKcVnFr4rPnHChIQqgmLTTqbDylOmVO219IUBikfbT1e5Eojcq0vJlUBZ0NGxon1K+lR0OrjKPfUhWzB5aCyYPDTpMoACS3MbWW2t10V7A84Xv/+oiIj4xr/8pjoFAS1kQMn7/KlTYvnJR1Tt9cp1UpcBRYD0KeoYEOVjdJzcMy3BoXMQmW4O1IBKSmIfoF07NGm9AiCtdQHJOqSpy+wvWuR9XdiFQDH57r+po350OfrX1nExGB0n99JyTyDIiqweQGZlSjsgP4p+c9Ws7i/IP9tmthxKH27exCFlrCTbSm3+v+frNE1fH99lACiPio2OX3311bFgwYJoaGiIgQMHtrvM1q1bY8mSJdHQ0BDDhw+PL3zhC/GHP/yhzTIbN26M2bNnR11dXUyePDnWrl37judZvXp1HH744VFfXx/z5s2Lxx9/vALviKzKy5VA1egAd/QS+t451Wrs0gEWPWG7KQYfc1tZ2O6zUGMRuPKJJBVl+zvj+HFxwxkz4vtfWJR0KYkrV9s/b5JgDSBtOmrju9P2d9Q3cOhQDBUbHd+7d2+cfvrpcd5557X793379sWSJUti79698dhjj8Udd9wRa9eujVWrVrUss2XLlliyZEksWrQoNm/eHBdeeGGcffbZ8dBDD7Usc9ddd8XKlSvj8ssvj6eeeipmzJgRTU1NsWPHjkq9NTKivvebm/dJU4YlXEl5VONArqOXKMgxJADtsA/InmoN/roCk7R639QRSZeQuKJcqVhbU4o/njU2xg9pSLqUFChPmzx34uD41jnz4rFLTy7L85WLPQ5QZKZ941BVLAS64oorYsWKFTF9+vR2//7www/Hz3/+8/jmN78ZM2fOjA984ANx1VVXxerVq2Pv3r0REbFmzZqYOHFiXHfddTF16tRYvnx5fOQjH4kbbrih5Xmuv/76OOecc2LZsmUxbdq0WLNmTTQ0NMRtt91WqbdGRvyvyxbHwyveG9NGNyZdCpRdJQfesnoGeVbrhixJy/fs1KNHRkTEuMF9q/7ago9WWq2Kolx10B1p+b4U0ezxg+LP3zsp6TKS5TtZOOVscxa8a2iMHlj9fWxnbNJQTMeOGRAREX1yMstPuemD01WJfYM2bdoU06dPjxEj3j5Lq6mpKXbu3Bk/+9nPWpZZvHhxm8c1NTXFpk2bIuLNq42efPLJNsvU1NTE4sWLW5Zpz549e2Lnzp1tfsifAQ29Y8qI/kmXkQvGMMga2yxURloOMiYO7RePf/F98d2VJyVdCnQoLd+XonIckB15DUxLVX5jbe4JlJN16sQLYFC/PvHklxfH5stPSbqUROWlXSc5iYVA27ZtaxMARUTLv7dt29bpMjt37ozXX389Xnrppdi3b1+7y7z1HO259tprY8CAAS0/48aNK8dbgtwyhpFu5egMpK0/8XefmBP9+tTG1z55XNKlAAmo63XwLurwxvqo61VbhWo6VvRBfgejAOlR7dApaXm59y9wcEMOq4uGPr2SLiNRHd7Pp1hNP4egW3vNSy+9NEqlUqc/zzzzTKVqLZvLLrssXn311Zaf5557LumS4KA07LSR8+2h6eiR8dO/bIpTpnV9Tv+crxJIhUrvi/7nx2bFhCEN8T8/NruyL3QI7I+BLCh4Rl1IRds9fWTO2Jg6qjE+s/BdSZcCAKnXrRj1oosuirPOOqvTZSZN6trcyyNHjozHH3+8ze+2b9/e8re3/vvW71ov09jYGH379o3a2tqora1td5m3nqM9dXV1UVdX16U6geIdUBRFR4MDaZl2oaYmHXV0R3PRLwuAQ3TajNFx2ozRSZdBF7VupYtyE3qyo+j75KK//yLK40kKnb2nfnW94p8ueE/1igFIUEftYTl290W7krSouhUCDRs2LIYNG1aWF54/f35cffXVsWPHjhg+fHhERKxfvz4aGxtj2rRpLcs88MADbR63fv36mD9/fkRE9OnTJ+bMmRMbNmyIpUuXRkTE/v37Y8OGDbF8+fKy1AmQdmkJbQAoFgeMAOnR+phA8wyQL2U5t6OD53DiSDFUbBLVrVu3xubNm2Pr1q2xb9++2Lx5c2zevDl27doVERGnnnpqTJs2LT7xiU/ET37yk3jooYfiy1/+cpx//vktV+mce+658e///u9x8cUXxzPPPBN/8zd/E3fffXesWLGi5XVWrlwZX/va1+KOO+6IX/ziF3HeeefF7t27Y9myZZV6awCJK8dxXdubx2b/SDEN7yENNQAApkOjeHRDAYqnO22/K/eLrWJ31Vq1alXccccdLf+eNWtWREQ8+uijsXDhwqitrY37778/zjvvvJg/f37069cvzjzzzLjyyitbHjNx4sRYt25drFixIm666aYYO3Zs3HrrrdHU1NSyzBlnnBEvvvhirFq1KrZt2xYzZ86MBx98MEaM6Pp9JACyphxhQ4e7/xwcQCZ1EOwMGqBI2kwHp/l7B+uEJNn8yBttKlBklRzjcDJrMVQsBFq7dm2sXbu202UmTJjwjuneDrRw4cL48Y9/3Okyy5cvN/0bAEAFCDfbcowEZEGWmu4iDj717V0br7+xL2aPH1i252x9P828TBedj3cBcOiytF8nnSoWAgFQHeU+bnawBUBXtN7/OC4F6Lq//KNpUd+7NhZOGV6258x7H76AWSEAlI0QCCCDyn0M5JiKnrDdUER5Obsacq/gyWTB337q1feujQ/OHFPW58x7SOIseKDI8t7GU3k1SRcAAOVQU3q7YzR2UEOyxUBOOfbIhmqNkwnEgHLQkpRHHtvkIk4VCNAeQTiHypVAABlX9quCqnSwVSqVtyNTKpXi51e8P/6wf3/U964t3xMD0C5jc6RZc8GvhXE/t+Jp3SZrnwE4kK5BsbkSCCCDynFgl8fBgb59aqN/fe+ky4BcqWnV4DgjNxsDa0mUmMd9yqGyRkhSlra/LLSrWWA1AtCZw+rbvxbE/qMYhEAAJHLwPbKxvvovCnTboH59Ysmxo2LJ9FExuF+fpMtJlbTmHiktC4D/qyInVeRwFC+HbwkgMXcsmxtHDD8sbl92fJvfO3YoBtPBAWRcuQ8iq3WwtXbZ3Lj8H5+OlaccWaVXBHpq9Z/OTrqE1DAgBWSCEZ3CyeM9gQDoXHdOSpsxbmCsX3lS5Yoh1YRAABmUh4O8I0f2jzv/fH7SZQDQQ63PQTDeTNqk9Uo9qJQ29wRKrgwAMsY+oxhMBweA+3wA0G15OCEB8qq5ANFs/7p0n9Na7e5165fL46dfhG0aoLsM5dBV6e41Aalgp5JuPh6A6hGaQzYUfbj4uAmDky6hy7rbrK48ZUpERHxw5ugKVJNdrfdPebkSzi4XoHIGNfSOl//zjXjvlGFJl0IVCIGAg8rLQUSeVPKAyMEWQNcU/axk+4vONetAkYCNn18Y/2vL/44Pzx6bdCld1t2rChvre8VZJ06sUDXVUYnmM+9NsqtPAd7pULqbD1zwnnj0mRfjQ7PHlK8gUksIBLQwWAGHpmjfIFdEUERp3uqH9a+LF1/bE+8/emTVX1sXAtLh8KH94vCh/ZIuo6Ly0P84duyAsj9n2/u05a9RzuN7AkjSqAF940/njU+6DKpECAQcVA6Os3Ktp5+PwyiAQ5O2s5K/u/Kk2PLS7phRgcHF9rR99/YqB8rDQDVQXo9/8X3xu//cGxOGlD+oa71Pykswrx0F6Jxmkq4SAgEtdLKJSN+gZpZYc1AsaTsreUDf3jFz3MCky+D/coV1sqx+0mh4Y30Mb6yvzJO3vhLI9g8AtFKTdAEAdF85wgaBRfkV7XjbACdF5HyJtzl5BCiHXrXda0s0Pe2zXgCAjgiBgBYGdIulo0/bASRA1xR9t2l3QZql7Uo93ukrH5oeowfUx19/+NikS8mF1m2y7R8AaM10cMBB1feuTboEOuFMbJJi26OIbPftK3ogBnTfR+eOj4/OdUPqcmm9f9ImAwCtCYGADn2h6cjY8tLuOG7CoKRL4UDGIFPJxwLFUvQ8qPX7N94I0Fa177NZ8F0SANAJIRDQ4sCzm89fNDmhSkiSA8ieMwgK6TFpaL/495d2xxHDD6vYazjTGoCOVHtKtryfmGCfC/BO4wY3JF0CGSEEAlq4JxAAefH1T8+NOx77/+OsEycmXUpumRqPNNOtzS8tT/taX3lk+wcohg/PHhu//d1/xtyJQ5IuhZQTAgFkUDmml3BwCOTZ2EEN8aUl05IuA4CCqvp0cG2m6MxfR995BwDvVFtTipWnHpl0GWRATdIFAAAA2ebEAgAqyX4GAHpOCAS0MK0LEWGODQAAyJg2VwIJTACAVoRAkBHVGJd3T6DskNcBJM9eE9LL95OiaXNPoATrAADSRwgEGaEjDwCklRNJgKpxNlS72l4JpE0GAN4mBAKgjWrfxBYA8sgYbMJ8ALnVq0ZftT3WCgDQESEQQAY5yAMgTQy3A5X2306aFMeMaYylM8ckXUqXVPuCpdb3d9UmAwCt9Uq6AADSxQwbPeekYwDeYn8K5XXZB6YmXUKq1bSZDi65OgCA9HElEGSEcQQAgOwwCAtUU5srgTRAAEArQiCADCqV4fTiZhNFlJ2zvgEAAABIEyEQAG3IMeiq6WMGJF0CJMqZ1m/rbFUcM6YxIiIWHjmsStWAe6JQbLZ/AKA19wQCWrz/mJGx+tFfx/jBDUmXAplUtPHgP541Jn7/h30xZ8KgpEsBUuz2s+bGd37yH/Gh2dm4mXu5NB09Ip7d/lqMHdQ36VKAgilanxQA6JwQCGhxwfumxFEjG2P+u4YkXQoHYdox0qCmphQfnzch6TKAlBvWvy4+9e6JSZdRdctPPiKOGNFfvwoAgEMybVRj0iWQcUIgoEWfXjVx2ozRSZdBF1QyAyrH/YaKyqqDYpk09LCkS0gN95l7J/0qKLYku4WmKwXIl/FDGuL+z747BvXrk3QpZJQQCFLuqJH945ltr8UHjhmVdCnkjGPD8rNOoRie+otT4vdv7IsBDb2TLgXogH0ySUtyE7T5A+TPMe7JyyEQAkHKfeez745dv/+DtB8AUmKwffI7GXEESA0hKADQWk3SBQCd611bIwDiHcox7ZipywCAvDIdFknT1QYA0kIIBFBQHY2NCIcAACC73KcNAGhNCARAGzIgALrLcCNAiuSwUXZ1HwD0nBAIgDYG9HWjcwAAyCpxCQDQWq+kCwCg+4YeVlf257zu9Bmx47U9ccSI/mV/bgDybVj/8u+X4FAYBKfI8tgml8xZDQA9JgQCyKAJQ/rFf//IsTG4oU/ZnvPDc8aW7bkAKIbblx0f2179fUxxAgFA4vLcJpsODgB6TggEkFF/cty4pEsAoOAWHTk86RKgXcaLSVoSF65okwGA9rgnEEBBGRwBAIDK0NcGANJCCAQAh+iokW9OubF01uiEKwEAIiIWHfXmFRFDDyvf1LkAAJBFpoMDKCj3Vi2fby8/MXbs3BPjBjckXQoAEBETh/aLxy49OQaV8f6J0B362gBAWgiBAArKFBXlU9erVgAEACkzemDfpEsAAIDEmQ4OAAAAAAAgh4RAAAAAAKSWWQwAoOeEQAAAAABlVAo3BQIA0kEIBAAAAFBGzeHSlXIqydQAoMeEQAAAAAAAADkkBAIAAAAoI9PBlZd7AgFAzwmBAAAAAMpozuGDki4BACAiInolXQAAAABAHmy67OR47nevx+zxQiAAIB2EQAAAAABlMGpA3xg1oG/SZQAAtDAdHAAAAAAAQA4JgQAAAAAAAHJICAQAAABAajUnXQAAZJgQCAAAAAAAIIeEQAAF1dzsfDoAACD9SkkXAAAZJgQCAAAAAADIISEQQEGVSs6nAwAA0s8cBgDQc0IggIIyHRwAAAAA5JsQCAAAAAAAIIeEQAAAAAAAADkkBAIAAAAAAMghIRAAAAAAAEAOCYEACqo56QIAAAC6oNnBCwD0mBAIAAAAAAAgh4RAAAAAAKRWqZR0BQCQXUIgAAAAAApHuARAEQiBAAAAAEgt9wQCgJ4TAgEAAAAAAOSQEAigoJbOGhMREdPHDEi4EgAAAACgEnolXQAAyVixeErMGjcw5k0aknQpAAAAVeeWQAAUgRAIoKD69KqJU48emXQZAAAAAECFmA4OAAAAAAAgh4RAAAAAAAAAOSQEAgAAAKBwSiV3BQIg/4RAAAAAAAAAOSQEAgAAAAAAyCEhEAAAAACp1RzNSZcAAJklBAIAAACgcNwRCIAiEAIBAAAAUBizxg+MiIjTZoxOthAAqIJeSRcAAAAAANVy+1nHxyPP7Iimo0cmXQoAVJwQCAAAAIDCGNjQJz40e2zSZQBAVZgODgAAAAAAIIeEQAAAAAAAADkkBAIAAAAAAMghIRAAAAAAAEAOCYEAAAAAAABySAgEAAAAQGo1NyddAQBklxAIAAAAAAAgh4RAAAAAAAAAOSQEAgAAAAAAyCEhEAAAAAAAQA4JgQAAAAAAAHJICAQAAAAAAJBDQiAAAAAAUqs56QIAIMOEQAAAAAAAADkkBAIAAAAgtUpJFwAAGSYEAgAAACC1TAcHAD1XsRDo6quvjgULFkRDQ0MMHDiw3WVKpdI7fu688842y2zcuDFmz54ddXV1MXny5Fi7du07nmf16tVx+OGHR319fcybNy8ef/zxCrwjAAAAAACA7KhYCLR37944/fTT47zzzut0udtvvz1eeOGFlp+lS5e2/G3Lli2xZMmSWLRoUWzevDkuvPDCOPvss+Ohhx5qWeauu+6KlStXxuWXXx5PPfVUzJgxI5qammLHjh2VemsAAAAAAACp16tST3zFFVdERLR75U5rAwcOjJEjR7b7tzVr1sTEiRPjuuuui4iIqVOnxg9+8IO44YYboqmpKSIirr/++jjnnHNi2bJlLY9Zt25d3HbbbXHppZeW6d0AAAAAAABkS+L3BDr//PNj6NChMXfu3LjtttuiufntmV43bdoUixcvbrN8U1NTbNq0KSLevNroySefbLNMTU1NLF68uGWZ9uzZsyd27tzZ5gcAAAAAACBPKnYlUFdceeWVcfLJJ0dDQ0M8/PDD8ZnPfCZ27doVn/vc5yIiYtu2bTFixIg2jxkxYkTs3LkzXn/99Xj55Zdj37597S7zzDPPdPi61157bcuVSgAAAAAAAHnUrSuBLr300iiVSp3+dBa+HOgv/uIv4sQTT4xZs2bFJZdcEhdffHF89atf7fab6K7LLrssXn311Zaf5557ruKvCQAAAAAAUE3duhLooosuirPOOqvTZSZNmtTjYubNmxdXXXVV7NmzJ+rq6mLkyJGxffv2Nsts3749Ghsbo2/fvlFbWxu1tbXtLtPRfYYiIurq6qKurq7HdQIAAABQJa1uHQAAdE+3QqBhw4bFsGHDKlVLbN68OQYNGtQS0My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\n", 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\n", "text/plain": [ - "
" + "
" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -299,9 +304,9 @@ "name": "stdout", "output_type": "stream", "text": [ - "DECLARE raw REAL[3360]\n", - "NONBLOCKING PULSE 0 \"ro_tx\" flat(duration: 1.68e-06, iq: 1.0, scale: 0.04466835921509615, phase: 0.0, detuning: 0.0)\n", - "RAW-CAPTURE 0 \"ro_rx\" 1.68e-06 raw[0]\n", + "DECLARE raw REAL[4160]\n", + "PULSE 0 \"rf_f12\" drag_gaussian(alpha: -1.394451807996698, anh: -190000000, detuning: 0, duration: 4e-8, fwhm: 1e-8, phase: 0, scale: 0.28637132443339525, t0: 2e-8)\n", + "RAW-CAPTURE 0 \"ro_rx\" 2.08e-6 raw[0]\n", "\n" ] } @@ -322,9 +327,9 @@ "outputs": [], "source": [ "exe = qc.compiler.native_quil_to_executable(raw_capture_pulse)\n", - "qc.run(exe)\n", + "results = qc.run(exe).get_register_map()\n", "\n", - "raw_results_pulse = qc.qam.read_memory(region_name='raw')\n", + "raw_results_pulse = results[\"raw\"].reshape(shape)\n", "avg_results_pulse = raw_results_pulse.mean(axis=0) / 2**15" ] }, @@ -335,14 +340,12 @@ "outputs": [ { "data": { - "image/png": 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\n", 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Lm+XO3fOnFPpUH5gSq4FGJd5OKp52p6HNhB9PNAAAzh+R5XJdqs5L5siHobOdhaogWx4f0mVbjZkjomjkc3DU3Nzs0xdRNBIEQd6+AkKzrSYIAqpbxPt9/rpxGDMgCQ3tZiz6f9u7FGh/sbcCAHD/hcMwsTAVLUYL6tpMSIvT4uIzc3x6PIVCIdcledta+/ZgNaw2AcOyE5DfqTWAnDlqcA3gBEFwHOX3o+YoVEf5PWeOpPEhDI6IoonPwVFycjJSUlI8fknXE0WjDrNVnuwOAE0d5qAf/25oN8NsFYOg/JRYvHrTWUjUq7HvdDO+OVAl3+5YTSsOVrZArVTgurPz8f9+NQnXTyyAQgHccW5xl7oab3wpyva0pQYAafbM0akG18yR2OVafL78CY5Clzlyf5SfBdlE0cmn8SGAuJ0mEQQB8+bNw+uvv468vLyQLIwokkj1RhqVAmqlEh1mKyqbDChMjwvaY0j1RmlxWmjVSuQkxeDGyQPx0rpjeH3Dccy1Bydf7BGzRtOK05FsL2B+8orReOii4YjT+fwrDwDIkjJHLe4zRwazFd8dFuueOm+pAc6ZI9fgSMoaxWlVfq3JcZQ/uCOKPPU5kjJHFpsAk8XWJbNERP2Tz69KM2fOdPm7SqXC5MmTUVRUFPRFEUUaKThKitEiXqfCibp2VDWHJjjKdJqHNn9qIV7bcBw/nmjArrJGjM1PluuN5o12zeT4GxgBQFai90aQG4/UosNsRV5yDEbmJna5PkXOHLluqwVSjA1APgnX0G6CIAhB663WXYdsQMweMTgiig78TScKgkb7Mf7kWI18yivYdUfV9q0tKWAR/6zHJWfmAgBe23AcJ2rbsL+iGSqlAj8b0XWby19SILb1eL3buiPpCP/PRmS5DVSkzFFDuxmtRsdk+0CDo5Q4cW6j1SagucPSza19Z/JwlF+rVsrz3Nglmyh6MDgiCgKpGDs5RoNse2foYM9XkzNHnQKKX00Xs7df7KnAPzccBwBMKUqTsyw9MSovCQCw7WQDZjy9Fk+uOoDKJgMMZitMFptc6+RuSw0AYtRAUoyYsSp32lqrsW/T+VNvBIjBS7w9AxbM4/xSvZi7zBDnqxFFnx4FRxwXQiSSjvEnx2qRLWWOmoLb60ga45HltK0GACNyEzG9OB02AfjP1lIAji7VPTVzSAb+86tJGFeQDIPZhle/O47JT67BsIe/xJCHvkBdmwmJejXOHpTq8T7kAbROW2u1rWJg42/mCHBsrdW3Be/5NZrdH+UHwufEms0moN0UvGwZEXnmcxHCFVdc4fJ3g8GARYsWIS7OtaZi5cqVwVkZUQSRao6ct9VCljnqFBwBwK/OGYSN9oaQSgVw/kj3mZxATC1Ox8rBaVh3qAbPfnMYu081uVx/7dn50HgZYJuXHIP9FS0uvY7kbTU/M0eAeJy/tL49qEXZXjNHUnBk7tvA5N73f8L/fjqNL383A8WZ8X26FqL+zufgKDEx0SVTdOONN4ZkQUSRSK45ctpWC3bNUZWUOXKTbZk5JANDsuJxuKoVkwal+b1d1R2FQoFzh2Xi3GGZMFlsMFvFL5uAbrfvBqRImSOn4CiABpCS1Fix7iiYI0SMZvc1R4DTcX5T3zW53X6yASt3ioN9d5xsYHBEFGI+B0crVqwI4TKIIluTS+ZIfMOvDHKXbKkguvO2GiAGL4svGoEHV+7BolmDg/q4nWnVSr9ObeUli+t13lYLtCAbAFLjxO+pC2Zw5EPmqK+2tARBwNNfHZT/HuyMJBF15fMrXEFBAe68806sXr0aFgv3vYmcyUf5Y7WOga0thqDNG7TZBI81R5KZQzKw6f7zMHNIRlAeM1gGJLvJHAXQHVuSaj+x1hCkgmxBEDz2OQL6vhHkxqO1+P54vfx36eeAiELH5+Dorbfegk6nw+2334709HRce+21ePvtt9HY2BjC5RFFBudtNWnkhtkqeOzkbLLYUFLb5vP917WZYLUJUCiA9Pien0LrTbmdgiObTUBdWxAyR63BCY6cO5u7yxzF2jNHfXGUX8waHQLgCCSZOSIKPZ+Do5kzZ2LZsmU4cuQINm3ahLFjx+Lvf/87srOzcd555+G5557D8ePHQ7lWorDlXJCtVSvlAMZT3dHSLw/i3GfWYf3hGp/uX3pDTI/XQe2l+DkcSdtq9W0mtBktaOpwjEFJCyDQC3bmSGoACQBaN8+tvg+P8n+1rwq7TzUhVqvCH84fAsBRe0ZEoRPQq+zIkSPxwAMP4Pvvv0dJSQmuv/56rFmzBqNGjcKoUaPw+eefB3udRGGtSTrKHyO+2Xd3Yu3LvWIX6y3H6ny6f2l8h3MDyEiRGKNBol4sb3xp3VG8Zu/FlByr8WvOm0QaIRKsmiOTU3AUTttqVpuAZV+LWaNfTh+EETliB/IaZo6IQs7/eQKd5OTkYOHChVi4cCHa29vx1VdfQaeLvBdwop5wzhwBQHaiHvtON7vtdXS6sUM+1n68ptWn+5cGv0qzziJNYXocdp9qwotrj8mXZXuoneqOlG0K1mk1KTjSqpRue7fF9lGfox9K6nGkuhWJejV+dU6R/PjVLUbYbAKUSvaZIwqVHgVHgiBg7dq16OjowNSpU5GSkoKf//znwVobUUQwmK1yViHJHhxleTnO/+MJR3HtcR/rjrz1OIoEi+cNx39/LIPVXqCuVChw1VkDArovKXMUrODI6KUYGwD0fRQcSdnCkblJSIrRIE6rgkIhDsGtbzcFvV0DETn4HBw1Njbi7rvvxo4dOzB58mQsW7YM8+bNw+bNmwEAmZmZ+PrrrzFmzJiQLZYoHElbaiqlAgn20RbyNHs3wdEPJY7g6GRdG6w2AapusgBVbuaqRZJJRWmYVJQWlPtKsxdktxgtMFqsAW3NOTN5GDoridWI/0/be3lbTfq5SooRA261Som0OB1qW42oajYwOCIKIZ9rju69915s2bIF1113Hfbs2YMLLrgAVqsVW7ZswdatWzF8+HAsXrw4lGslCkvyMf4Yjbwtk51k73XUTebIbBW6TKx3x1uPo2iToFfLwaT03PeE0eJ5dAgAxGjFyw29nDlqancNjgBHcMzj/ESh5XPm6IsvvsB//vMfzJw5EwsWLEB+fj6+/fZbTJo0CQCwdOlSXHrppSFbKFG4amx3HOOXZMnz1Qxdbnu4Sqwzyk7Uo7LZgOM1bRiY5jqGp7OqCC7IDjalUoGUWA1qW02oazX1OGDsLnMUoxVfJnu7ILvZIPXOcvxcZSbosA/uM5KRzmy14eOd5Zh+RjpykmL6ejkU5XzOHFVVVWHIEPEoaV5eHvR6PfLz8+XrCwoKUFPj27Fkov5EGjrr/CYmjRDpfFpt24kGAEBRRhzGD0wGABzzoShb2lbLjNCC7GCTRpYE4zi/o+bI/fZcTB8d5e+8rQY4n4Lsf5mjF9cexX0f7MZfvzzU10vpNw5UNONj+9gZ8o/PmSObzQaVyvHioVKpXE52uDvlQRQN5NEhTm9i0kmshnYzDGar3CtH2lKbWJgq14x0V5RtsdpQ2+q9O3a0kYqyPTXZ9Ee3maM+OsovBUdSGwTAUZAvFWv3Fy0GM97YWALA90MK1L173vsJByqaUZwZj1F5SX29nIji12m1119/HfHx4sBDi8WCFStWID09HQDQ0tIS/NURRQC5O3aso6FhUowGOrUSRosN1c1GFKTFAgB+sAdHEwpTIdVgl9R4fzOobTVBEMSC77RuhrxGC+k4fzCCI6nmyGNBdh+dVpODoxjXbTXAv8yRIAho6jC7/HyGm//3fSmaDeJYqqogzySMZhVNYsuQYzWtDI785HNwVFBQgNdee03+e3Z2Nt56660utyGKNo1uCmcVCgWyk/Q4WdeOymYDCtJi0WGyYm95EwAxc1Rv3xI6Xut9W03amsuI17G3jV0wM0fdHuXvs8yRGCy421bzp+bob6sP4x9rj+LtX03C1MHpwV1kEHSYrHh9g2O6Qk2r0acTnOSdzSbIAXYFA06/+RwcnThxIoTLIIpcUs1RslPNESC+kZ2sa8e6Q9WYOCgVu8oaYbYKyErUIT81Rq5Rqmo2otVoQbzO/a+jY+Asi7ElUs1RMIOjcMscNbutOfL/tNqWY3UQBGDHyYawDI7e+aEUdW0mDEiJwenGDlhtAupajRHb0ytctBgskOZen27s8H5j6iKyhjQRhSF3NUcA5CaHL607hv9sLZXrjc4uTIVCoUBSjEaeweZtay3SG0CGghwcBaEg29RN5ihG2zeZI3fBkVSQL3XJ9kVpvdgqIhyzB0aLFa9+J3ZNv31WsTyIuD8WnPc2absfYHAUCJ8yRy+88ILPd3jXXXcFvBiiSOSu5ggArpmQj9K6dvxj7VE89PEeeUvk7MJU+TZF6fGoba3H8dpWjB7gvibA0eOImSOJfFotqAXZ3k+r9WbmyGoT0GIUt9Wca47S47VQKMTr69pMcjDhicFslbNMndtKdMdsteFARTNG5iaFbIvrg+2nUNVsRHaiHleelYf//liKqmYjKpsNGA3WyPSEcw+w8sbwC4zDnU/B0bPPPuvy95qaGrS3tyM5ORmA2D07NjYWmZmZDI4o6sg1R5221QDgD+cPQV2bCe/8UCp/cncJjjLi8MOJehz3mjmK7LlqoRCKbTVfMke9NdNMyhoBrpkjtUqJ9HgdalrELtndBUfODUb9zRy9su4Ylq0+jMcuH4UbJw/063t99a8N4gm122YUQadW2bOjTR4HNpPvGp1+hpg58p9P22olJSXy1+OPP46xY8fiwIEDqK+vR319PQ4cOIDx48fj0UcfDfV6icJOo4dtNUAszH7s8lG4cFQ2APFY9tDsBPn6ogyx+aPz8eVTDe14/psj8guaowEkgyOJvwXZx2taUVbvvhO5r0f5AUcgFWpSIW2sVgWNynVdUgaxxoe6o7J6x5uiu27t3vx0qhEAsKus0a/v81VlkwHHa9ugVABXTxC3oLMT3fcHI/81Om05N3WY0WbPRJJv/B48+/DDD+ODDz7A0KFD5cuGDh2KZ599FldddRVuuOGGoC6QKNw1yQXZ7o9Kq5QKPHfdWAxecxSj8ly3KIrSxdYYx50aQd797i5sP9mAt7eexL/mn+1oAMltNZlzE0hBELz2WSuta8eFz29ArFaFjX88D3GdCt+7HR/iFBy1myxyJimU3DWAlIh1R80+BRClTgFhfZvJpeeWr997IkR9h3aUig1Rh2YnIkFvH9icKNUcMTjqqaYO19E6FU0dKM5M8HBr6szvguyKigpYLF0jUKvViqqqqqAsiihSmK02tNo/kbnLHEl0ahXunTsUF9gzSJJB9sxRSW0bBEHAjyfqsf2k+KZR3WLENa9ukQMnZo4cpODIbHXU5njy3DeHYbTY0NBuxue7K7pc313mSKlUyIFTbxVly6ND3PxMOQKI7jNHpZ2yZb4GHYIgOIKjuhAFR/af8/EFyfJl8tgdFmT3WOe5g6w78o/fwdHs2bPx61//Gjt27JAv2759O37zm99gzpw5QV0cUbhz/nSW6CU48qQgNRZqpQLtJisqmw14ZZ14cueysbk454x0dJit8lYOgyMHvUYlH7Gvb/W8tXa4qgUf7XKMT3j3x9Iut5FrjlSeXw57+zi/uwaQEseJte7f7DpvJfpad1TTYoTBLD4vta0mtBh6PuC3MylzNL4gRb5MGrvTH2fH9bbOwRHrjvzjd3D0xhtvIDs7GxMmTIBOp4NOp8PEiRORlZWF119/PRRrJApb0gtQotOkeH9oVEoUpIrds7/cW4k1B6uhUAB3zz4Dbyw4G7+YJDZWTdCrkeKm4Dua+XKcf9nXhyAIwOSiVKiUCuwobcSRKtdu/vJRfi/bTcEeISII3o/hO0aHuAmOAsgcqe0/m1LHZF+/T3Ki1n29VqCMFiv2ljcDAMYPdARHjswRg6Oecj7KDzA48pffwVFGRgZWrVqFQ4cO4f3338f777+PAwcOYNWqVcjMzAzFGonCVpOHY/z+kIqy//b1YQDABSOzUZQRD41KiccvH4VXbjwL/5p/NucXdtLdcf6fyhrx1b4qKBXAo5eNwuxh4uvTf38sc7mdPD7ES+ZIH8TM0YMf7cGUJ79FXavn4MZbzVGWj5kjQRDkzJE0OsLXzNHJOtdgqCTIW2v7TjfDZLUhNU6LQvtoHcARHDXaZxJS4KT+awPtz285gyO/BNwE8owzzsCll16KSy+9FEOGDAnmmogihnxSrQdZnaIMsShbqp1ZNHOwfJ1CocAFo7IxcVCq2++NZtKJtToPwdEzX4vT3X8+bgDOyErAtWfnAwBW7iyXs0UAYLJKmaPut9Xa3bxhVzcb8LevD+H8Z9e7rWnq7Ot9lahsNmDj0VqPt/EaHMkjRLxnjhrazWizB3MT7NkZX3sddc4cnQxyUbZUbzQuP9kl6E/Uq6G3/3/o7t9H3kk/Q8OzEwEwc+Qvn4Kjp556Ch0dvj2xW7duxeeff96jRRFFCndz1fw1KD1O/vOUojScmZ/c02VFhfzUGABihqizLcfqsOFILTQqBX435wwAwMwhGchK1KG+zYRvDjgOj8gF2V4yR9K2msEpc3S0ugX3/HcXpi39Fi98exSHq1rxsVN9kzsWq00O5qQ5e+64644tkbbVpBlknkgBTnaiHgPtP2O+Zo6kjFOCXjzZF+zM0c7SRgCuW2qAfSYht9aCQupzNCJXDI7CsUN6OPMpONq/fz8KCgpw++2344svvkBNTY18ncViwe7du/HSSy9h6tSpuPbaa5GQwOOCFB0auznG74sip+Bo0azBXm5JzuaOFE/+fbm3Ehara/+hf9pHUlx3dgHy7TVdapUSV58lZo/eddpakwuyvWSOYrRikNDuFBzd9K8fsHJnOcxWATn2QuKmdu+Fy3VtJnne1R6vwZE0dLZrt5W0OC2Ucpdsz9kVKcApSI1FjhRw+Jk5ml4szmIL9nF+d8XYkkz2OgoK6YPbiBx7cNRo8HnkDPkYHP373//GN998A7PZjF/84hfIzs6GVqtFQkICdDodxo0bhzfeeAM333wzDh48iBkzZoR63URhocleDNyTYukxA5JRnBmP84ZlYsYZ4TcYNFxNKUpDWpwWdW0mbDleJ19e2WTA+sPiB7hbpw9y+Z5rJojB0YYjNXL3aHnwrMpbQbbrUf5Wo0X+JP7hb6bimavPBNC1CLYz58aN+8qbPb5Zydtqbn6upC7ZgPetJynAGZAaI58C87nmyP69M4dkAABO1AWvILuiqQMVTQaolAqcmd91RAgbQfacIAhyPeTQ7AQoFeL2ca2XYJpc+dwE8swzz8Rrr72GV199Fbt378bJkyfR0dGB9PR0jB07FunpfFGn6CNnjnqwrRajVeGbe2Z228yQXKlVSlwwKhtvby3FZz9V4JwzxDfyD3ecgk0AJhamumxZAkBBWiymDk7D5mN1eG/bKdzzsyGO4MhDnyMAiLVnjqSC7Ap7/UaiXo2zBqbIW2Sdj0935lxE3WK04ERdm1xz5szbaTVA3FqrbjHa78/9DDKXzJE9OKptNcJksXn9t3aYrHIQd449OKpvM6Gpw9yj7WPJjpONAIBh2Qny8+qMjSB7rt1khdkqBt5p8VpkJepR0WTA6UaD3AqCvPO7IFupVGLs2LG47LLLcN1112HOnDkMjChqOeaqBb6tJmFg5L+LxuQAAL7cVwmTxQZBEPDeNnHL7Bp7AXZn108U2yO8+0MpzFab4yi/l4BB3+kov3TyJzdZrHtKsZ+ca+wwez2m33nkh6etNW8F2YDjxJq34/xl9sxYfkosUuO0ck1Vd0GH9H2JejXykmPk+W3B2lrztqUGsBFkMEgf2rQqJWI0Kjk4DnVRtsVqC1lH9d4W8Gk1IgpO5ogCN2lQGjISdGjqMGPT0VpsLanHybp2xOvUmDc62+33zB2ZjfR4MfPyzf4qx1F+L8FR5z5H0vaUFBxJ//9NFpvXXkidt8E8FWV3Fxz5UpcjbasVpMWKhc5JvhU6S8f4C+xHwAelidm3YHXKljrAjx+Y7Pb6LG6r9Zg0Vy0pVgOFQiH/nIY6OHpi1UHMemYdvj0Y+dMyGBwR9YD8IsTgqE+olArMs49k+XT3abxnL7S+5Mwct1s2gBgEXWfPKr31/UmfMkedO2SfljNHevl6jUrM/HnbWqux9zaS6mp2n+oaHNlsgtyR2mNwZM/mVHsYPmux2nDaPi5CajLqa91RqdN2HAAUpov/LQlCRsBgtmLfafHf7ClzJK2TwVHgmjoNw86Tg6PQPqebj4ntKbadaAjp4/QGBkdEPSBNhZe2Vaj3XTQmFwCwel8VVu0V+wxdPcH9lprk+kkFUCqAzcfq5GyO18xRp+BI2lbLSRLfdBQKBZJi7FtrXoIj6bHOtTek3He6a1F2q8kC6SJPI2kcvY7cv9lVNBlgtQnQqpXIsBdvS1srld10yXbUKokZo0J73VYwtkv2nW6C2SogLU4rB1+dORdkd9dJnNxznKIVf356I3NkttpwzD4HMhiBdF9jcETUA9IbYSqDoz4zYWAKshP1aDFaYDDbcEZmPMZ10ysqLzkG5w3LAuDUBFLd/fgQqQlkhf0TuPSJHHC8EXk7sSZljqYOToNOrUSrvSjbmfSpX6dWyrVOnUlFyxuP1uKXK37Ei+uO44TTVBQp+5OfEgOlfXRIoJkjx7Zaz0+sSRmFcQUpHmvspBong9kmtzQg/zj6r4mvS3LNkY/jYwJxvKZNLgKPyuBo+fLlaG8P7pwdokhkstjQau9qzblnfUepVGDe6Bz579dMyPepuP3GyQUuf/e2rdY5cyS9yeQ6BUfSz4DXbTX7NlhOkh7D7f1nOhdlexs6KxkzIBmpcVoYzDasOViN59YcxbN71fho52kAjuxPvlN2xtdeRyftwZpjWy14NUdSV/Apg9M83kavUcnPJRtBBqZRHmvUe5mjg5XN8p9P1LVFfE8lv4Oj+++/H9nZ2fjlL3+JzZs3h2JNRBFBqjdSKjwfuabecfGZYnCkVirw8/F5Pn3PjDMyXLZ2vAZHckG2BTabIGeOpE/kALrdVhMEQT7Kn5mgx5gB4hH8PZ3qjrx1x5ZkJOiw+f7zsPL2qfjTxSMw4wwx2Hjqq0No6jB3yf4AQLZ9C9Bb5shmE1DWIL6BSjO5Cu2Zo8Z2s/wzHwiD2YofSuoBoNt+XizK7hlPNUe1raaQzaw7UOFIXRrMtogPbP0OjsrLy/Hmm2+itrYWs2bNwrBhw7B06VJUVlaGYn1EYUuaBp8cq5W3LqhvjMtPxqOXj8I/fjFObpDYHaVSgRsmObJHvtYc1bWZYLLaoFA4tqqA7rfVWu3bfoAY3EjDYDtnjpq7KcaW6DUqjC9Iwa3TB+HlX4xDVoyA+jYznl19WA5w8lMcwZFUPO4tc1TdIvZBUikVcuAXo1XJdUA92S7ZdqIBRosNWYk6FGd27e3kLIsjRHqk88zH5FiNHOD72iXdX86ZIyDyt9b8Do7UajV+/vOf45NPPkFZWRkWLlyIt99+GwUFBbj00kvxySefwGazdX9HRBGuoa3nQ2cpOBQKBW6aPBAXjMrp/sZOrp6QjwS9GmlxWsTpPPfEdWSObPLWRGaCDhqneWzSp3RPI0Skk2UJOjVitCqMtgdHnYuyuzvG745WrcQVheLr7r+3nMBWe8fwfJfMkb2Iu8XQZdyKRNpSy0uOgdrp3yadWOvJ1tqGI2LX8unFGd1ue0o1VZ4Kzsk7KUCX+q+Jx/lD2+vooD1zlGavvzwebcGRs6ysLEyfPh1TpkyBUqnEnj17MH/+fAwePBjr1q0L0hKJwlODPXOUGoQGkNQ3UuO0+Py35+Cj26e5BDqdOY7yW5yO8ce43EY6sdjgYetJqjeSCo7PyIyXi7KdB7sGEhwBwLBkAXNHZMImOAIx52219Dgd1EqFy/WduduOAxzDkUtqA6833XBErDc6x4cRORw+2zON7V37r0k/r+UhCI4a203y/6ufjRAPOpTURGFwVFVVhWeeeQYjR47ErFmz0NzcjM8++wwlJSUoLy/HNddcg/nz5wd7rURhpcFpW40iV0FarNzw0BPnDtmnOzWAlEjBjKeao87BkVqllCemOzeDDDQ4AoAHLhwKvdMA3fxUxxqVSoW8XeWp7qis3rUBpGRgWs+O89e2GrG/Qtx2mVbcfXDkaHLJLtmBaOromtXOTQpdr6ODlWLWaEBKDMYMSAYAlNS2Bv1xepPfwdEll1yC/Px8rFixAgsXLkR5eTneeecdzJkzBwAQFxeHP/zhDygrK+vmnogim+MYP7fV+jspc9RusjoyR071RoBzzZH3bTUpOAIgb605F2U75qr5PPpSlpccg9tnFQMQs2IJnQ4KOHoduX+D9JQ5Kuxhl+xN9lNqw3MSXf79nvTH4bM2m4Cb3/gBN/1rK6whPsnlyBw5PriF8sTaQXvgOyw70SnLGNmZI79/+zIzM7F+/XpMmTLF420yMjJQUlLSo4URhTu5ASQzR/2eVJBtMFs9bqtJb0Seao6kzJHz4E+pKHu3S+ZIbA/h7Si/N7fNKEJ9m0k+DefM0evI8QbpPIj2ZLfbam2wWG0u9Ui+8GdLDeifp9UOVbXgu8Ni3dVJDwOHg6XzUX7AUZAfil5HUuZoeE4CijLEn5Wyho5uhxyHM79XPXPmTIwfP77L5SaTCf/+978BiMVfAwcO7PnqiMKYtK3G7tj9n1SQbbYKcnZF6o4t6e60mnSM3zlzIgUw+52Ksn05yu+NXqPCny8diSvGD+hynXPmyGy14YGVuzH04S9w2T824u9rjsif9rtkjtJjkahXo8Vgwcvrjvm1HkEQsNHf4ChJfI5qWowei8cjzbaTjpEazsfeg81gtsqnIpOcgiNHV/Xgb1UesAdHw7ITkZmgQ6xWBatNkIcYRyK/g6NbbrkFTU1d5wG1tLTglltuCcqiiCJBg5w54rZafydljgCxEzDg2h0bcARHDe1mt2MvOtccAUBxRjz0Gtei7J7UHHVH6nV0pLoVt674Ee/8UAZBAH461YRlqw/L2zGda450ajHgAoDn1hzBrrJGnx/zWE0rKpsN0KqVOLsw1afvSY/TQWUvHq9rC7y3kru1vLGxJOTbWu5sP1Ev/7nzsfdgkn5+VEoFEpxOYGZKJwBbgpuNs9kEHJaCo5wEKBQKR6Yxgouy/Q6OBEFwewzz1KlTSErqmsYl6q8a7G8k3Fbr/7QqJaRWVh32JnrSNoVEKsw3WWzyJ3dnjm01R3CkVinlTtlSUXZPM0feSJmj9YdrsOFILWK1Kjx/3Vg8dcVozBmeCZ1aiSlFaW6bmv58XB4uHpMDq03A7/+7C21G30Z7fHdYzBpNLEz1OA6lM6VSIT9PwerLY7UJWPjmNvzls/34bPfpoNynP1wzR6ELjhyjQzQu79XSjL2GdrM8bDkYSuvb0WG2QqdWyrVp/aHuyOeao3HjxkGhUEChUGD27NlQqx3farVaUVJSggsuuCAkiyQKR9xWix4KhQKxWrU8LkanVnaZpxenVUGtVMBiE9DYYUKM1jWz5C5zBIhF2TtLG7H7VBMuG5vnyByFICPp3LQyI0GHN+afjdH2rb3rJhbAahOg8tDQVKFQ4PHLR2PHyQaU1Lbhsc8P4MkrRnf7mNLIEF+31JzXV9FkQG2rf9tAYqNOIwakuGa/vt5XKffe2VXWiMvG+tZJPRgqmww41eCo9QnltprUxbxzcJ0Sq5V/PuvajF22hQMlZcGGZCXIPztF9uAoknsd+RwcXX755QCAXbt2Ye7cuYiPdxSTabVaFBYW4sorrwz6AonCVQMLsqOKXqOSg6Pc5JguGXSFQoHkWA1qW01obDe7vPmYrTa5o3qmm+AIEDtlC4LgdFot+MHR0KwEZCfqkRKnxT9vOsulSSQAj4GRJClWg2euORM3vL4V7/xQirkjszBraKbH2wuCII8M8eUIvzOp03mNh55Mniz6f9ux4UgN/nnTBMyx99wRBAEvOdVK7S3vWhoSSttOis9BQWosSuvbUd7YgaYOc0iyg40eMo9KpQLp8TpUNhtQ3Ry84EgK9IZlJ8iXDcroWeuHcOBzcLRkyRIAQGFhIa699lro9fpuvoOo/7JYbWg2cOhsNInROqoQcpLcv/4lx2pR22rq0giyrtUEQRBnv3UOpqXMzb7yJrSZrLDY62FC8cYZp1Njwx/PhVqp8Gk4rztTB6fjFxML8PbWUqzaU+E1OKpvM6HVaIFCAZyR5d/pLGkbyJ/M0faTDVhvPxF2/8o9+HpgClLjtNh0tA57ypugVAA2wdGVvLfG/mw7IW6pzRqagTUHqlHe2IFDlS2YOMi3Gix/NLV37XEkyUwUgyN/A05vpMzRMPv2MAAMShf/X0fytprfNUfz589nYERRT/p0plCE5k2Mwk+sxvFZsvMxfomnESLSm1F6vK7LG7JUlN1msuIne6GzWqmQeysFm0alDDgwkkwuEgfdHuum4FbqxpwRr4NO7d+/Jz1BDCL9eSN/Zb0jO1TbasTDH++FIAh4ef1RAMANkwZCr1Gi3WTt1S2f7fZ6owmFqXKGJVR1R/IxfjevS1LA6alDeiDkY/zOmSN77VFls8Hn2rRw41NwlJqaitpacd84JSUFqampHr+IooG0pZao1/jd84Uik94pWPEYHHloBOnuGL9ErVJihP1Tt1Sf07mYNtwMtvfoOVrd6vZknqTcXmeTl+L/Fo4jc+TbabUjVS1Yvb8KCgXw/HVjoVIq8PmeCjz5xUFsOloHtVKBRbMGy8/1vtO9s7XWZrTI3cEnDEyRC/BDdWLN0R2763a/dGItWJmjNqNFbm0x1Ck4SorVyDV5PZnH15d82lZ79tlnkZCQIP85nH9piXpDg9wdm/VG0SLW6aRV5+7YkiR7I8jOI0TcnVRzNjovCTtKG+VO0uGejSzKiINCIb4R17WZ5PqgzqTMUee2B75IT/DvjfyV9ccBAHNHZOOysXk4XtOG59ccwT+/Ey+/bGwe8pJjMMr+XO+xF8CH2k9ljbDaBOQm6ZGbHINhOeJ76f4QFWU7n1brzJE5Cs4JwJLaNggCkB6vRVqnn4FB6XGobzOhpLYNI3Mj7yS7T8GR85y0BQsWhGotRBFD6o7tbl+f+qcYfzJHnWqO3I0OcTbKqSgbABLCPDjSa1QYkBKDsvoOHKtuDUlw5E/NUXljBz7ZVQ4AWDRrMADgzvOKseZgFfaWixmaRTOLADie6729lDmSjvCfZe/xJGWODle2eD0dGKhGN3PVJBn2RpDByhxJPaicu75LBqXHYfvJhojtdeT3fsCOHTuwZ88e+e+ffPIJLr/8cjz44IMwmYLXrIsonElvfjypFj1cgyP3maMUOTjyM3NkL8qWdqjCPXMEOLbWvNUd9WRbTc4c+RAc/WtDCSw2AVMHp2FsfjIAsbbq2WvGIjNBh19MKsAZWWLGZlSuVADv6EoeSj/amz9OGJgCQJxTp9co0WG24mQItpy8FWQHu+ZIPrHrZr5kpPc68js4+vWvf43Dhw8DAI4fP45rr70WsbGxeP/99/F///d/QV8gUTiqZ3AUdWKcttU8HYNOsv88dB4h4qnHkUQqypbvJwKCo2KnuiNPpDleAWWO7M9Vi8ECg73xpjsNbSa880MpAGDRzMEu152RlYAfFs/BEz8f7XRZPLRqJVqc6mVCxWoTsLO0EQAwoVAMjlRKBYbaAzWpmDmYHAXZoa85avDyOhjpvY78Do4OHz6MsWPHAgDef/99zJw5E//5z3+wYsUKfPjhh8FeH1FYapS7Y4f/mxgFhxQcJcdqEKdzX5EgnRDqnDnyVpANuBZlA0BSjN8zwXvd4Ewpc+Q5OJIyR562Ib1J0KnloaXetta+P16HDrMVxZnxPjWa1KiU8smqPSHud3SosgWtRgvidWoMy3b8/5X+HIoTa3LNkZfMUU2r0Wshva+89XqTeh0dq27tlQxdsAU0PsRmE1uPf/PNN5g3bx4AID8/Xz7RRtTf1bexO3a0kY7We2uel+xpW61Vyhx5boMiNYMEIiNz5NhWcx8ctZss8sGFQLbVFAqF483cS6ZDCpyKM+J9PizUW3VH2+3NH8cVJLvUFg3PkY7zBz9zJG+ruSvItgfnJosNzR09P2Jf72VKQHFGPGK1KrQYLThcHbqO4KHid3A0YcIEPPbYY3jrrbewfv16XHTRRQCAkpISZGVlBX2BROGINUfRR5oLlueh3ghwbGU4b6sJgiBPQvdUcwQAowcky3+OhOCo2J45Km/sQIep67bXaXsxdoJeHXC3b6nuyNtxfqkoODXe999FKRANdafsI/YtR+fAF3A0TAx25shstaHF3lfI3VF+vUaFRL2Ylaxp7fmJNfnUrpsslVqlxPgCcSvxxxMNXa4Pd34HR8899xx27NiBO++8E4sXL0ZxcTEA4IMPPsDUqVODvkCicCRljlLdFCJS/zQiV3xDm+Blsry7zFGL0QKjfdCnp201wPUNNBSjQ4ItNU6LlFgNBAE4Xts1eyTNEguk3kiSEd99I8g6e+CU7kcWV84clTcHZXvJE+l1ovNpvuH2bbXyxg40G8xdvi9QzU79taQgqDPpZ1AK2HuioZsM+tn235Uf7SNkIonfG9tjxoxxOa0mefrpp6FShaajK1G4aWz33GiN+qe5I7Ox7aE5SPPyJiwFR0aLDQazFXqNSn4TStCrvU6lH5whnmIymG0RkTkCxOzRjycacKymay+bnhzjl2QkdH+c3/FBxfffxSFZCdCoFGjqMONUQ0eXGXPB4hhO7fr/MylWg9wkPU43GXCwInhjRKRj/Al6tcfmtJkJehyrafPpFGB36ruZL3m2vQh924nIC44Cbu1rMplw6tQplJaWorS0FNXV1aioqAjm2ojClrTXziaQ0SU9Xue1riVep5ZrS6QAurtj/BK1Sonpxen2OWQJXm8bLgZ7ObHWk2P8El+Gz0qBU+cmhN5o1Uq5o3Mot9Ya2qSDG11fJ4aHYGut0csxfkkwM0eN3TTDHVuQDLVSgdNNBjlYjhQBnVY755xzEBMTg4EDB2LQoEEYNGgQCgsLMWjQoFCskSisWG2CU4v+yPiET71DoVDIhbBS1qC7k2rO/vGL8dj4x/Pkep5w560oW6o5CuSkmsSXzJFUc+Qto+fO6E6NN0PBW22i1Nvqn98dD9rR+iYvx/glmX70j/JGEAT5Q6Kn18FYrRoj7c9zpG2t+b2tdsstt0CtVuOzzz5DTk4OR4lQ1GnuMMvN+liQTZ0lx2pQ12aSP1VLfW7OyOw+G6TXqHq0DdXbpCDumLvMURC21XzJHElbO/5kjgDYtwHLsPd0aGacAY6CZXevEwumFuLjneU4UdeO297ahncWTva67erT47V5Hh0icWSOelaQ3W6ywmSvpfOWQT97YAp+KmvEjyfqcfm40I9rCRa/g6Ndu3Zh+/btGDZsWCjWQxT2pE9LCTo1NBw6S52IdWht8qf4LcfqAABTBqf14apCQ8ocHa9t6zIKIxjbat1ljqw2Qc7QpflxWg1wFNgfDkEjRgAwmK3osDevTHZzcCM5Vos3FpyNn7+0GTtLG3Hv+z/hhevGQdmDcSKV9oBHavbojtwIsoeZI+l516mVLg1SO5tQmIrXN5ZgW4SdWPP7lX3EiBHsZ0RRrdFLbw8i50aQta1GHKoS33wnF/W/4CgvJQZatRImi00OhgDAYrXJb9ShzBw1tJsgCIBC4X8Wd4A9aKtuMcBstQW8Rk+k4EGtVCDBQ9PQoox4vHLjWVArFfhsdwWe++Zwjx7ztA/Zuox4sRVFT2uOnOupvO0gSUXZh6pauswcDGd+B0dLly7F//3f/2HdunWoq6tDc3OzyxdRf1ffxu7Y5JnUmbih3Yzvj4tZo2HZCf2yeF+lVMhjIpzrjiqbDbAJgFallBs5BiLdng1qM1nRburatFA6xp8Sq/V7gGt6nA5alRI2Aajq4RaTO1LwkNxN8DBlcBqeuEIcb/L3tUd7VLhc7kOdV7AyR94aQDpLi9ehyN4te/vJyMke+R0czZkzB99//z1mz56NzMxMpKSkICUlBcnJyUhJSQnFGom8CsWnPm8a5CLE/vdmRz3n3AhS2lKbOrj7sRaRShoj4nxiTcoi5STre7RNFK9TyzPnalu6Zh3q7G/wgQSeSqUC2UliFqWiKfjBkaMYu/sPUddMyMeEgSkQBODbg9UBP6ZvmSOdfX1mGC2eZ9Z1p7Hd915vZw8UWxX8EEFH+v2uOVq7dm0o1kEUkI1HanHrmz/ixkkD8fDFw3vlgEBDAH1VKHpIb4ZN7Wb8YD+h0x/rjSTuTqxJA2dzvYxa8YVCoUB6vA6nGjpQ02pEQZprP6JAT6pJcpP1KK1vl4OKYPJ3OPV5wzOx7WQDvj1QhZsmD/T78QRB8GmWXXKsBhqVAmargNpWU8DbnlIhvC8fEs8elIr/biuLqLojv4OjmTNnhmIdRAH5/ngdTBYb3thUAovNhkcuHRnyAKnBh14iFL2kn4uDlS04XtsGpQJBa/IXjordDKANRjG2JCNBDI7cFWXXyT2OAgyO7MHb6cYQbKtJJ9V87KJ/3rBM/PXLQ9h8rA4dJititP6dXGs2WNBmH+OS62XEjTSz7nSTATUtxoCDI/lDoi/Bkb3uaPepRrk5argL6KjNhg0bcOONN2Lq1KkoLy8HALz11lvYuHFjUBfn7PHHH8fUqVMRGxuL5ORkt7dRKBRdvt59912X27z44osYPnw4YmJiMHToUPz73/8O2Zop9BqcCvz+veUkHvl0f0jHAQD+vShQ9Emy/1zsKmsEII6qiJSO14EYbK8ncdlWC8Ixfom3omz5GH9cYHVNUoYlFJmjxm66R3c2NCsBuUl6GC02bDnu/6EnKSBNjdMiVus975GRKBVlBx4U1vuxbViQGouMBB3MVgE/2X8vwp3fwdGHH36IuXPnIiYmBjt27IDRKP7ANjU14Yknngj6AiUmkwlXX301fvOb33i93fLly1FRUSF/XX755fJ1L7/8Mh544AH8+c9/xr59+/DII4/gjjvuwKeffhqydVNoScHRxEGpUCiAFZtP4PHPD/TKYyZzW43c6DwNvT9vqQFAUXo8VEoFGtrN2FkqbpuUN/b8pJrE23H+2rbAjvFLcuwZllAERw1+jhhSKBQ4b3gmgMDqjhxNNz1njSRS3VFPirIdmbHu/30KhULOnn69v8rtbWy20H6o9ZffwdFjjz2GV155Ba+99ho0GseLwLRp07Bjx46gLs7ZI488gt///vcYPXq019slJycjOztb/tLrHT8ob731Fn7961/j2muvRVFREa677jrcdtttWLp0acjWTaElnQi5YVIBll4xBgDw+sYSnGpoD91jtjNzRJ513m7tz8XYABCjVeHn9uZ+T31x0F77Iv7+BWNbzVvmSN5WC7jmyJ45CkFBdoMfmRXJecPswdGBar8z4P7UeUkn1npynN/f2surzhoAAHj3h1I0tbsO2/3P1lKM+vNXWH+4JuD1BJvfNUeHDh3CjBkzulyelJSExsbGYKypR+644w786le/QlFRERYtWoRbbrlFrkExGo0uwRIAxMTE4IcffoDZbHYJ9pwZjUY5QwZAbllgNpthNgdvorJ0X8G8z/6uvk38/5KoU2H6yEy8sv4ojte240RNC7Li3f//7OnzLKXyE3QK/r/yIlp/nuO1jpo3tVKBM3PjQ/4c9PVz/dtZg/C/n05ja0k9vtlfIW+rZcVrerym1Fjxbaq62dDlvqTgKEmvCuhxsuz1QKcb2336fn+e53r72hJ0vq9tQn4SdGolTjcZsO9Ugzz/zReldW0AgJwkXbePl2Z/TquaOwJ/HZT+fVqlT/cxbVAyhmXF42BVK1ZsOo7bZxUBAKpbjHjs8/1oN1nx7YFKTB2UHNKfZ1/v0+/gKDs7G0ePHkVhYaHL5Rs3bkRRUZG/dxdUf/nLX3DeeechNjYWX3/9NW6//Xa0trbirrvuAgDMnTsXr7/+Oi6//HKMHz8e27dvx+uvvw6z2Yza2lrk5OS4vd8nn3wSjzzySJfLv/76a8TGBn+a8+rVq4N+n/1VZb0KgAL7dmxF82FAZVICUOLL77ai7oD3T16BPs9VDeJj7t2+FQ0HA7qLqBJtP88dFkB6ac2Ps2H9mq977bH78rmenqnEt6eVuP+9HTCYxQBx15Z12NfDJvKldQoAKhwpq8KqVatcr6sSfxeP7NkBodT/+zbY/181dVjw0aeroPOxTtiX5/lEhbi24wd2Y1XVTz6vaXC8EvsblXjl0434WZ7v2aPth8XXvqbTJVi16rjX21ZVic/p3qOlWLXqhM+P4azC/jq4f+cPaDni2/ecnaDAwSoVXvvuCHJbDkKrAv5zVIl2k/hDsuvQCayCY+2h+Hlub/dtV8Hv4GjhwoW4++678cYbb0ChUOD06dPYsmUL7r33Xjz88MN+3df999/f7ZbWgQMHfB5V4vz448aNQ1tbG55++mk5OHr44YdRWVmJyZMnQxAEZGVlYf78+fjrX/8KpdLzb/ADDzyAe+65R/57c3Mz8vPzcf755yMxMdGntfnCbDZj9erV+NnPfuYxi0UOgiDg3h++ASDgkvPPRW5yDNZ17MGRXRXIHjQM82a4H4Tck+fZZhNwz1b7Y849D9mJ3e/vR6to/XkWBAGLt38Dq03AheMHY96c4pA/Zjg811PbzZj97AbUiREHMuK1uOzi83t8v1knG/DG4R9h1cRi3rxzXK77065vAVgwb/aMgIf1PrbnW7QYLBg9qfv78Od5XnZoA4AOzDlnMs4a6HsPwIb0Mvz50wOoQBrmzZvo8/etOLUVqGvCeZPH4cJR2V5vqz1QjfeO74IyLhnz5k32+TEkgiDgvh/XALDh4vPP9bm27GdWG9Y8uxGnmwxozxqN4rwk/PD99/L1irgUzJs3KaQ/z742q/Y7OLr//vths9kwe/ZstLe3Y8aMGdDpdLj33nvx29/+1q/7+sMf/oAFCxZ4vU1PslGTJk3Co48+CqPRCJ1Oh5iYGLzxxht49dVXUVVVhZycHPzzn/9EQkICMjIyPN6PTqeDTtf1NIRGownJC1Go7re/aTNaYLaKn6wykmKh0aiRmyJm8mpaTd0+h4E8z03tZljthYMZibHQRMCR1L4WjT/PqXFa1LQYMX1IRq/+2/vyuc5I0uD2c4vx1BdiOjUvJTYoa8lJEU/D1Xb6nTZbbWgS03TISo4L+LFyk2JwyNCC6jYLhvt4H748z1LBcnqif8/Dz0bm4M+fHsDOska0mgSfxxRJdVMD0xO6fTzpOa1r9VxO4k2b0SIPnRVfB30LJTQaYOGMIjzy6X78a9NJZCboIAjiSb1DVS2oaja6rCcUP8++3p/fwZFCocDixYtx33334ejRo2htbcWIESMQH+9/1J6RkeE1KOmpXbt2ISUlpUtgo9FoMGCAvTjs3Xdx8cUXe80cUXhyN/gw216MGIqOt86PGatVRUSvDuobD100HAcrWzB5UP8+qdbZgqmFeHPzCVQ0GYJSjA04CrI7zFa0GS2Is88pkwqClYquJwT9kZusx6GqFlQE8cSaxWpDiz2D5u+YobzkGAzLTsDByhZ8d6QGl43tfpK9yWJDtb1g3VsDSIl0ArCmxQhBEPzuDSe9DmrVSsT62Y/p2rPz8cKaIyitb0dpfTtiNCosvWoMLn9xE6pbjPKHz77md3AEiCm15uZmZGVlYcSIEcFek1ulpaWor69HaWkprFYrdu3aBQAoLi5GfHw8Pv30U1RVVWHy5MnQ6/VYvXo1nnjiCdx7773yfRw+fBg//PADJk2ahIaGBvztb3/D3r178eabb/bKv4GCy93gQ2mbqzIEs5IA/7veUnS6bGweLuvrRfQBvUaFJZeMxB/e24WfDc8Kyn3G6dSI1arQbrKipsUoB0e1rdJpKV2PRpTkhKDXUWOH+NqkUCCgHlfnDsvEwcoWrD/kW3BU1WyAIIjBii8n96SZdSarDU0dZr9HIUmvvandzI1zJ1arxs1TCvH8GrFQ6TezBmN0XhJUSgWsNgG1rUakxvT9B0+/0iWVlZW4+eabkZKSgqysLHm22q233oqqKve9C4LlT3/6E8aNG4clS5agtbUV48aNw7hx47Bt2zYAYjboxRdfxJQpUzB27Fi8+uqr+Nvf/oYlS5bI92G1WrFs2TKceeaZ+NnPfgaDwYDNmzd3KS6nyOCYceZ48ckJ4awkwDHokqNDiNy7YFQ29j4yF5eP6/5N3VdS9si511FdW8+O8UvyQnCcX5o7lqjXQK3yf1diqr031tYS32aROTfd9CVQ1KlV8uvmsZo2v9dX7+a11x/zpxYiI0GH4sx43DajCCqlQu69FKrXbn/5nDlqbm7G1KlT0drailtuuQXDhg2DIAjYv38/3nnnHWzcuBE7duwIaHvNFytWrMCKFSs8Xn/BBRfgggsu8Hofw4cPx86dO4O8Muorcr8hpxdHaZBkbasRZqsNmgBemLw5aT8uW5Aa/FOKRP1FsEf4ZCToUFrf7tLrqL6HDSAluSFoBFkvZ7UDCx7OGpgCtVKB8sYOlNW3I7+b1xvHTDXfD4hkJ+rR2G7GlS9vxrDsBEwvTseNkweiMD2u2+9tdPPa64/UOC3W3zcLSoVCLk/ITtKjstmAyiYDRmZ3v4ZQ8zk4ev7556FSqbBv374udUIPPfQQpk2bhhdeeAEPPvhg0BdJ5E6Dm/b8qbFaeahidQ/mBnlyvFYMjgrTGRwR9RZpG8g5c1QbpCxuTgjqFB1Z7cDWFqtVY/SAJOwsbcQPJfXdBkdyd2w/Bv3ee/5QvPDtEewpb8LByhYcrGzBtpMN+PiOad1+rxSY+los7k7nESdySURT8LuVB8Lnj9Wff/45HnzwQbcF1JmZmXjggQc4hoN6Vb2bwY5KpQJZIfwlOyEFR2l9/8mGKFo4FxBLpAaw0pZboKQPUOWNHUGby9jTzArgGFa8taSu29vK3bH9+DA4Z0QW/nfndOx46Gd4+ipxusCe8ia0myzdfq/jg2nwTpJJWf/KHnTtDiafg6PDhw9j6tSpHq+fOnUqDh06FJRFEfmi0UNxtFR3VNkU/F8yKTgqymBwRNRb5BEirY5B08Gq/8tK1EOhEE981bWZuv8GHzjmqgUePEgnHX/woe7olH1bLZATgilxWlx11gBkJepgtQnYfaqp2++R/n3BHKHkeN2OsMxRc3MzkpOTPV6fnJzsc3MlomCo9zD1WsocVQT5l8xgtspFm8wcEfUex3w1x9aXtK3W05ojrVrpKAZuDM7Wmrstf3+dVZgCpQI4UdeOqm5O3552KsgOhEKhwPgCsVHlDvvwYG/qe7ht6I4jcxQeBdk+B0eCIHjtBaRQKIKWkiTyRaObbTXA+ROI91+y+jaTXz+zJ+vEtvMJejVPqxH1Iqlz9a6yRvl3tl4+rdazbTXAcZy/PEhF2YEMne0sUa/BiFxxAoO3U2uCIOC0PajzZ1utMzk4OtnY7W39HTrrC0fNUQQGR0OGDEFqaqrbL19HfBAFi5Q56vzpRW4E6eUTSEkLMOmpdfjVm9tgttp8erwS+5baoPS4oJ/GISLPxhUkI0ajQm2rCYeqWgBA3gLraeYIAPKSg5ttbpA/uPVsbZPsW2tbj3uuO2poN6PDbAXg+GAYiPEDkwEAO0sbuv3QGKx/nzPnzFE4JFp8Pq22fPnyUK6DyG9y0aOHmqMqL59AjjaLwc2ag9W4/8M9eObqMd0GPCfqWIxN1Bd0ahUmDkrF+sM12HikFsOyE1EvbasF4Q1aOuUVrOP8nuoh/TVxUCr+tbHEa92RtOb0eF2PuvaPzE2CRqVAXZsJpfXtGOjldS4UBdlSOYTB7BgL05d8Do7mz58fynUQ+U3+9OKx5shzcFRncARCH+44hZwkPe6dO9Tr48kn1XzoA0JEwXXOGelicHS0FjdOHogWo/gGGsxttdNBqjlyZLV7FjxMLBRPrB2pbkVdqxFpbk7mORpA9mwItl6jwsjcJOwqa8SO0gaPwZEgCCGZFKDXqJASq0FDuzks6o44UIwiksFslVPJnmqOqpoNsHmY01Nr/92bMURsTfGPtUfx1vcnvT6mY1uNPY6Ietu04nQAwNbj9XKBslqpQGJMQFOwXEiBxekgbas1evjg5q+UOC2GZiUAAH484T57JBdjB2GWnS91Rx1mqzx0Nti1l1JJRHcF6L2BwRFFJKngUa1UIF7n+uKYkaCDUgFYbILHo7l1RjFzdNd5xfj9nCEAgCWf7EVZfbvHx3QER6HpAk9Eng3NSkB6vBYdZiu+OVANQHxzDkb9X04Qt9UEQZBnqwUjeJhUJGaPvj/uPjiSu2P70QDSE7nuqMzziTUpK6ZV+T90tjs5YdTriMERRSTnDq2dXxw1KqV89NfdyQez1YYG++9eQWos7ppdjGHZCbAJwKHKFreP12a0yFOvB7HmiKjXKZUKOXv0v13lAOB2mykQ0imv6hajzwc0PGk2WOTJ8j3dVgOcm0F6yBwF0ADSEylzdKCixWMzSHngd5wm6AdTpJIIZo6IAuRIW7t/8XEMoO36SfB0kwECFNCplchI0EGhUGBAiuPF0R2pGDslVoOkIBYhEpHvpODoJ3ujwvQgnFQDxKJurUoJQej5UXKpWDlWq4JO3fPMihQcHaxsxsYjtV2uL+9BA8jOcpNjkJ2o99oMsiEE9UYSZo6IesjTMX5JdpLnTyBl9eKLSX5KjPzJJ7ObTywnasXtNhZjE/Wd6fbgSBKsmhelUoGc5O4Pcvgi2MFDZoIe5w3LhCAAN7+xFa99dxyCIKCu1YjfvbtTDhSDdYpW2lrz1AwylMFRdhhljnyqZLvnnnt8vsO//e1vAS+GyFeejvFLsr2cWCtrEAOd/FTHJ61M++ym7jJH3FIj6ju5yTEoyojD8Rrx9zEYJ9Xk+06Kwcm6dpTVt8vZmkB4ak7bEy/dMB4PfbwXH2w/hcdXHcCmY7XYVdaIxnYzFArgNzMHY2h2QlAea3xBClbtqfRYlF0fggaQkmzn0U/p3dw4xHwKjnbu3OnTnbExHvWW+jbvL0DSqQd3KXJH5shx6kza66728ImlhMf4icLC9OJ0R3AUpG01ABianYAtx+uwq6wRV541IOD7CUVmRa9R4emrxmB0XhL+8tl+rDtUAwAYnpOIp64YjTPzk4P2WOPsdUdSM8jO7+sNIQj+JPJJ45YIyRytXbs21Osg8kt3L0COmiN3mSN7cORP5sipOzYR9Z1pxen49xax7UYwGkBKJhelYsXmE9ha4rkbtS+62/IPlEKhwPyphRiSlYDn1xzGuUMzcev0QdCoglsdMyovEVqV0mMzyGDMjfMky/663dRhgdEa9Lv3S88bRBD1ge460HqtOZK21ZwKGLs7JSFvqzE4IupTUwanQakAbEJwt3Ym2kd1HK7y3HDRF90dFumpKYPTMGXwlJDcNyB2Ix+Zl4idpY3YWdrYJTgKRQNISYJOjTitCm0mK5rcd2HpNQEFR9u2bcN7772H0tJSmEyu/4KVK1cGZWFE3tR3M9vHueaoc2pY2lYrcNpWkzJHta1GWG0CVErH7ZsNZnkCOLfViPpWol6DuSOzsfZQNUYPSAra/abaGy4eqmrBDyX1uHB0TkD3E8qC5d4yNj8ZO0sbsausEZePy3O57pQ9856RELx6L4lCoUBWkh7Ha9rQZOrbMh2/83Hvvvsupk6digMHDuCjjz6C2WzGvn378O233yIpKXg/qETeNHYz9VrKHHWYrWh2mtPT1G5Gs0H8+wCnzFFavE7+NFrX6rq1Jm2ppcfrujScJKLe99x1Y/Hj4jly88ZgkRoueuop5IuGbl6bIsFYew3Tzk4n1gxmK/afFk/HnTkgOSSPLZVENPZx5sjv4OiJJ57As88+i08//RRarRbPP/88Dh48iGuuuQYFBQWhWCNRF93t60tzegC4zOkptXfATtQIiHHq7qpSKuTGkVWdemxwbAhReNGpVUjQBz/4mGTfWvv+eOB1R44miZGbORqXLxZl769ohsHsKP7ZfaoJZquAjASdS81mMGUnivcbccHRsWPHcNFFFwEAtFot2traoFAo8Pvf/x7//Oc/g75AInekfX1vNQeOAbSORpBScJTmZkajfGKt00kJuccRj/ET9WuOhostcuGxv6TMUbALsntTfmoMUuO0MFsF7K9oli/fflLMJJ1VkBKy0+nZSeKH1CZjhG2rpaSkoKVFHLGQl5eHvXv3AgAaGxvR3u55LhVRsJgsNrTaJ3J7S13L3VabumaO0nRdB9JKdUedM0dyMXYGgyOi/iwjQYfiTHF24g8eBr12R/7gFsHBkUKhkLfWdpU2ypfLwdHAlJA9ttSGJeIyRzNmzMDq1asBAFdffTXuvvtuLFy4ENdffz1mz54d9AUSdSbVGykVYnGmJ9IvWYW74MhN5ijTQ+ZI3lZj5oio35skzTLzMOjVG0EQ5NNcwZir1pfk4KisEYD4b5O6Zp9VGMLgKFGqOerbzJHf1aX/+Mc/YDCIbx6LFy+GRqPB5s2bceWVV+Khhx4K+gKJOqt3SlsrlZ5/gaRfMudJ22X24Cjdx8yRIAg4VtMKACjKiO/hyoko3E0qSsPbW0sDqjvqMFthsoiDayO55gjoGhyV1Lahvs0ErVqJkbmJIXtcKeMfUUf5LRYLPvvsM8ydOxcAoFQqcf/994dkYUSeyAWP3Xwyk36B1xyshsFshV6jkjNHqfquwZFUc1TjlDmqaTWixWCBUgEUsiCbqN+bbM8cHahsRlO72a9B09Ix93h7v55IJnXdLq1vR12rEdvsW2pnDkgKykBdT6TX4RYzYLbaoOmjBJxf22pqtRqLFi2SM0dEfcHXPiKzhmYgN0mP+jYTPt9dAYvVhnJ7FindTYsOd5mjo9Vi1qggNTakLwhEFB4yE/UoSo+DIAA/+ll3dLBSrMcdmp0Q8eO0kmI0GGyvs/zpVCN22IOj8SGsNwLErufj8pMwOlVAh6nv2mT7XXM0ceJE7Nq1KwRLIfKNHBx1k7ZWq5S4YfJAAMC/vz+JiiYDrDYBGpUCiW6+1d1ptWP2GU6DuaVGFDUc/Y7821o7VCme7BqSFZwhsH1trP1I/67SRpeTaqGkVCrw3m2T8MuhNiTG9F3dlt81R7fffjvuuecelJWV4ayzzkJcnGuR6pgxY4K2OCJ3/GnPf93Z+Xj+myP4qawR//vpNABxbIhSYe5y26xEMXNU0+Lokn3MnjkanMngiChaTBqUhnd+KMP3fhZlH7JnjoZl95PgqCAZH+44hfWHa3DE/loYypNq4cTv4Oi6664DANx1113yZQqFQh7RYLX28bQ46vfq/Rh8mBavw8VjcrByZzleXncMAJCfEgug2e1tnbtkZybq5WLsYmaOiKKGlDnad7oJzQaz11Oxzg5VObbV+oNx9rqjn06JXbEHpccFPHMu0vgdHJWUlIRiHUQ+83VbTXLz1EKs3Fku90by1NlV6pJd3WJEdYs9OJIzRzzGTxQtcpJiMDAtFifr2rH9RAPOHZbZ7fe0Gi3y3Mah/WRbbWh2AnRqJYz2E3jRkjUCAqg5OnnyJPLy8jBw4ECXr7y8PJw8eTIUayRy0dDm3+yisfnJONNpQGV+iue295mJUlG2AW1GC07beySx5ogoukj9jr73se7osD1rlJmgi/hj/BKNSonReY7XTgZHXpx77rmor++6D9vU1IRzzz03KIsi8qZBrjny/QXopimF8p/FbTX3shKkomwjjtdIA2e1ET0KgIj855iz5lvd0aHK/rWlJpH6HQEMjrySaos6q6ur61KcTRQK/m6rAcDFY3KQbq8pGpLtOQvknDli80ei6CXVHe0tb5K35L3pb8XYkrEFyQCARL06qmovfa45uuKKKwCIxdcLFiyATucoyrJardi9ezemTp0a/BUSddLgR0G2RK9R4b1fT0ZVsxEDU2Oxz8PtMp0yRxar2CiSW2pE0WdASiwGpMTgVEMHtp9swMwhGV5v78gcha57dF+YPSwLF47KxtTBaV4nEvQ3PgdHSUnivqMgCEhISEBMjKNuQ6vVYvLkyVi4cGHwV0jkpKbFiGaD+CkuI8G/UxNFGfEoyoiH2dz1GL9EyhxVNxvkIKyYx/iJotKkQWk41XAKW4/XeQ2OBEFwnFTrJ8XYkhitCi/feFZfL6PX+RwcLV++HABQWFiI++67D7GxHKVAve+7wzUAgFF5iUgKQYMw55ojqTur1CWWiKLL5KJUfLjjVLdz1mpajahvM0GpAM7I4oep/sDvmqObb74Z5eXlXS4/cuQITpw4EYw1EXm0zh4czRrS/dHaQEiZo9ONHThRJxZkM3NEFJ0mF4lF2btPNaHd5LnuSNpSK0yLg17DMUP9gd/B0YIFC7B58+Yul2/duhULFiwIxpooChktVmw+VguD2XMTUatNwIYjYnA0c6j3/f9ASSNEaltNMFsF6DVK5CZ5PvpPRP3XgJQY5CbpYbEJ2HGy0ePt+utJtWjmd3C0c+dOTJs2rcvlkydP5sw1Ctg/1x/HL17bistf3ISj1S1ub/PTqUY0tpuRqFfLnVuDLS1OC+fDmEXp8VFVhEhEDgqFApPs2SNvc9ak4Ki/zFSjAIIjhUKBlpaub15NTU0cHUIBO2Af2HiwsgUX/30j3v2hFIIguNxm3SExa3TOGRlQq/z+0fWJWqVEulN7fG6pEUW3yfYj/d7qjqRi7P52jD+a+f0OM2PGDDz55JMugZDVasWTTz6J6dOnB3VxFD3KG8S2+3nJMTCYbbh/5R7c895PsNkcAdJ6e71Rd0dqeyrT6RQcj/ETRTepGeRPZU1ut/2tNkHujs1ttf7D79lqS5cuxYwZMzB06FCcc845AIANGzagubkZ3377bdAXSNHhlD04evWms7DpaC2e/uoQPtpZjomDUnH9xALUtRqx+1QjgNDVG0myEvXYd1rMZHGmGlF0G5gWi6xEHaqajdhV1tTl+rL6dhjMNujUSgxM4+tFf+F35mjEiBHYvXs3rrnmGlRXV6OlpQU333wzDh48iFGjRoVijdTPdZisqLP3FMpPicWvZw7G/RcOAwA8seoAqpoN2HCkFoIADM9JlIumQyUrkdtqRCRSKBSYMNDeLdv+ocnZQXu90RlZ8VCxPrHf8DtzBAC5ubl44okngr0WilLljWLWKEGnRmKM+CN5y7RB+PSn0/jpVBP+9MlexGrFy0O9pQYAGfZeRwqFeDSXiKJbnn1YdXWLEbmdrpNPqmX1r87Y0S6gqtYNGzbgxhtvxNSpU+WeR2+99RY2btwY1MVRdDjV0A5AfAGS5vaplAo8deUYqJUKfLWvCp/tPg0AmBXiLTXAkTnKT4llzxIikusQq5uNXa5jP7T+ye/g6MMPP8TcuXMRExODHTt2wGgUf1iampqYTaKASJmjvGTXfkLDcxLxm1mDAQBmq4B4nbpXpkKPzU+GUgFMK04P+WMRUfiTtvKrWgxdrqtoEl+/cpNDu91Pvcvv4Oixxx7DK6+8gtdeew0ajWN8w7Rp07Bjx46gLo6ig3RSbUBK12aLd5xbjCL7+I5pxWnQhOgIv7ORuUnY8fDP8PjlrKEjIkdwVNNi6nJdlT2blB3iWkjqXX6/0xw6dAgzZszocnlSUhIaGxuDsSaKMtJJtTw3wZFeo8I/rh+POcOz8Nvzzui1NSXHatn8kYgAOLbaq1sMcG6/JgiCnDnKTmJw1J/4HRxlZ2fj6NGjXS7fuHEjioqKgrIoii6ObTX3w4xH5Cbi9fkTMCovqTeXRUQEAMi0H9LoMNtgcGp11NxhgcFsA4CQn6Kl3uV3cLRw4ULcfffd2Lp1KxQKBU6fPo23334b9957L37zm9+EYo3Uz3nbViMi6msxWhUS9OKJ2SannbXKZrEGKTlWw8Mb/YzfR/nvv/9+2Gw2zJ49G+3t7ZgxYwZ0Oh3uvfde/Pa3vw3FGqkfM1lscpGju201IqJwkJWoR4uhFc1mx3a7FByx3qj/8Ts4UigUWLx4Me677z4cPXoUra2tGDFiBOLjeYyR/FfR1AFBAPQaJdLitH29HCIit7ISdTha3eqaOWK9Ub8VUBNIANBqtUhISEBCQgIDIwrYKaeZalKPIyKicJNlrztqdgmOeFKtv/K75shiseDhhx9GUlISCgsLUVhYiKSkJDz00EMwm82hWCP1Y/LA2RT3xdhEROEgw35ircnNthqLsfsfvzNHv/3tb7Fy5Ur89a9/xZQpUwAAW7ZswZ///GfU1dXh5ZdfDvoiqf865aEBJBFROHGfORJfv3K4rdbv+B0c/ec//8G7776LCy+8UL5szJgxyM/Px/XXX8/giPwijQ7hSTUiCmdSdqjJ5Jw5ErfVshgc9Tt+b6vpdDoUFhZ2uXzQoEHQallQS/7hMX4iigRSI0jnguwqnlbrt/wOju688048+uij8kw1ADAajXj88cdx5513BnVx1P95mqtGRBROpMxRs1nsjG0wW1HfJkZK3Fbrf/zeVtu5cyfWrFmDAQMG4MwzzwQA/PTTTzCZTJg9ezauuOIK+bYrV64M3kqp37FYbahoEj95DWBBNhGFsYwEMXNktinQYrCgzWwBAOjUSiTFaLx9K0Ugv4Oj5ORkXHnllS6X5efnB21BFD2qWoyw2gRoVApk2l94iIjCkV6jQlKMGk0dFlS1GNFqEoesZSfp2YakH/I7OFq+fHko1kFRSKo3yk2O4ZBXIgp7mQk6NHVYUN1iRLORM9X6M79rjjpbv349Vq1ahYaGhmCsh6KIdFKN9UZEFAmkAbQ1LUYe4+/nfM4cLV26FK2trXj00UcBiAVpF154Ib7++msAQGZmJtasWYORI0eGZqXU75Q3sBibiCJHZoJ4Iruq2Yj6drHmiCfV+iefM0f//e9/MWrUKPnvH3zwAb777jts2LABtbW1mDBhAh555JGQLJL6p1PyMX4WYxNR+JMyR9UtRvkYP7fV+iefg6OSkhKMGTNG/vuqVatw1VVXYdq0aUhNTcVDDz2ELVu2hGSR1D/Jx/jZ44iIIkCmvddRdYsRFRw626/5HBxZLBbodI4TRVu2bMHUqVPlv+fm5qK2tja4q6N+jT2OiCiSSKdqa1qMqLJ3x2Zw1D/5HBwNHjwY3333HQCgtLQUhw8fxowZM+TrT506hbS0tOCvkPolm01gd2wiiihZ9uCostnA7tj9nM8F2XfccQfuvPNObNiwAd9//z2mTJmCESNGyNd/++23GDduXEgWSf1PbZsRJqsNSgU/eRFRZJAaQZY3ioGRQuG4jPoXn4OjhQsXQqVS4dNPP8WMGTOwZMkSl+tPnz6NW2+9NegLpP6p2p6STo/XQaPqcUcJIqKQ6xwIZfD1q9/yqwnkrbfe6jEAeumll4KyIIoOPOlBRJFGp1YiTi2gzSI2rWXWu/9iyEt9olIOjpiSJqLIkah1/Jkf7vovBkfUJ6STHpl8cSGiCJKkEeQ/sxi7/2JwRH2imic9iCgCOWeOuK3WfzE4oj5RxW01IopASc7BET/c9Vt+BUdmsxlqtRp79+4N1XooSlRyW42IIlCS1mlbjZmjfsuv4Eij0aCgoABWqzVU66EoIW2rZSXwxYWIIkeixvFnBkf9l9/baosXL8aDDz6I+vr6UKyHooDJYkNdmwkAX1yIKLK4ZI6Y+e63/OpzBAD/+Mc/cPToUeTm5mLgwIGIi4tzuX7Hjh1BWxz1TzWt4paaRqVASqymm1sTEYWPdL342pWZoEeczu+3UIoQfv+fvfzyy0OwDOqO0WKF2Sogvh/8MkrF2JkJeigUij5eDRGR7+I1wPu3TUJqPGdC9md+v9N2HhtCoScIAq775/c4UduGVXefg5ykyP6lrGriSTUiilwjcxOh0TDr3Z8FdJS/sbERr7/+Oh544AG59mjHjh0oLy8P6uJItP1kA3aWNqKh3Yzlm0709XJ6jKNDiIgonPkdHO3evRtDhgzB0qVL8cwzz6CxsREAsHLlSjzwwAPBXh8B+GD7KfnP/9laimaDuQ9X03NVLWLNEYMjIiIKR34HR/fccw8WLFiAI0eOQK93vLnNmzcP3333XVAXR0C7yYLPdlcAABL1arQaLXj3h9Iutznd2NEXywsIM0dERBTO/A6OfvzxR/z617/ucnleXh4qKyuDsihy+GpfJVqNFhSkxmLxRcMBAG9sPAGTxQYAqGwyYO5z32HWM+tQWtfel0v1GbtjExFROPM7ONLpdGhubu5y+eHDh5GRkRGURZGDtKV25fgBuHxcHjISdKhsNuCz3afR2G7CzW9sRVl9B0wWG77eHxnBqTR0lpkjIiIKR34HR5deein+8pe/wGwW614UCgVKS0vxxz/+EVdeeWXQFxjNTjW0Y/OxOgDAFePzoFOrsGBqIQDg1fXHccuKH3G4qhXSafi1h6r7aKX+4bYaERGFM7+Do2XLlqG1tRWZmZno6OjAzJkzUVxcjISEBDz++OOhWGPUWrmjHIIATB2chvzUWADADZMKEKtV4VBVC3aWNiIpRoOXbzgLAPBDST3ajJa+XHK32k0WtBjENXJbjYiIwpHffY6SkpKwevVqbNy4Ebt370ZrayvGjx+POXPmhGJ9UUsQBHlL7aqzBsiXJ8dqcc2EfKzYfAIxGhWW33I2xuUnY2BaLE7WtWPT0VqcPzK7r5bdLWlLLVar6hcNLYmIqP/x+93JYDBAr9dj+vTpmD59eijWRAB+PNGA0vp2xOvUuGCUa7DzuzlnwGoTcNnYXIwvSAEAnDs0Eys2n8DaQzVhHhw5ttTYHZuIiMKR39tqycnJmDFjBh5++GF8++236OiInCPkkWT7yQYAwKyhGYjVusawybFaPHr5KEwoTJUvmzlULIZff6gagiAgXDlGh3BLjYiIwpPfwdE333yDCy64AFu3bsWll16KlJQUTJ8+HYsXL8bq1atDscao1Nhhn1rvY9HylKI06NRKnG4y4HBVayiX1iPV9m217CQWYxMRUXjyOziaPn06HnzwQXz99ddobGzE2rVrUVxcjL/+9a+44IILQrHGqNTULp4GTIrxbX6PXqPC1MFpAIB1YXxqrZIn1YiIKMwFVBF7+PBhrFu3Tv4yGo24+OKLMWvWrCAvL3o1dYjBUXKs78MNZw3NxNpDNVh7qBq/njk4VEvrEW6rERFRuPM7OMrLy0NHRwdmzZqFWbNm4Y9//CPGjBnD4toga5QyR7Fan7/n3KGZWIJ92HaiAS0GMxL04Tc1upoNIImIKMz5va2WkZGB9vZ2VFZWorKyElVVVSzKDoHGDv+21QCgIC0WRRlxsNgEbDpaG6ql9UhVi5g5Ys0RERGFK7+Do127dqGyshL3338/jEYjHnzwQaSnp2Pq1KlYvHhxKNYYlZqlbTU/giMAmDUkEwCw9mBN0NfUU4IgOI7yJzA4IiKi8OR3cASIx/kvvfRSPPjgg3jggQdw1VVX4ccff8RTTz0V7PVFrcZ28bSaP5kjAJhWLBZl/3Sqsct1UmPJktq2Hq8vEM0dFhjM4sDcTHbHJiKiMOV3zdHKlSvlQuz9+/cjNTUV06dPx7JlyzBz5sxQrDHqmK02tJmsAPwryAaAYTmJAIBjNa0wWWzQqh3x77cHq3Hv+z9hzIAk/O/O3m/gKW2pJcVooNeoev3xiYiIfOF3cLRo0SLMmDEDt912G2bOnInRo0eHYl1RTdpSUyjgd1F1bpIeCXo1WgwWHK9txbDsRPm6naWNAIDdp5pQ1Wzo9aJoaUvN195NREREfcHv4Ki6Onx76PQXjR3iYNYEnRoqpX+nABUKBYZmJWDbyQYcqmxxCY72nW6S/7z+UA2uOTs/OAv2kTRXjVtqREQUzgLqc2S1WvHxxx/jwIEDAIARI0bgsssug0rFrZJgcPQ48v0Yv7Oh2WJwdLCyBZc5Xb7vdLP853WHq/sgOGIDSCIiCn9+B0dHjx7FvHnzUF5ejqFDhwIAnnzySeTn5+Pzzz/H4MHh2XwwkgTSANLZsOwEAMChyhb5spoWI6pbjPLfNxyphcVqg1oVUE1+QNgAkoiIIoHf74x33XUXBg8ejLKyMuzYsQM7duxAaWkpBg0ahLvuuisUa4w6TQH0OHI21L6V5hwc7a8Qs0aFabFIidWgxWDBDnsNUm8pq28HAAxIie3VxyUiIvKH35mj9evX4/vvv0dqqmMifFpaGp566ilMmzYtqIuLVoE0gHQ21J45Km/sQFOHGUkxGrneaFReElRKBT7ZdRprD1Vj4qBUb3cVVCftwdHANAZHREQUvvzOHOl0OrS0tHS5vLW1FVptYDUy5Kq5h9tqSTEa5No7UB+uEv9fSfVGI3OTcO5QsVHkukOBNYoUBAHNBrNf32O1CThVL3ZSL0hlcEREROHL7+Do4osvxm233YatW7dCEAQIgoDvv/8eixYtwqWXXhqKNUYd6bRaoJkjwJE9OmjfWjsgB0eJmDEkAwoFcKCiWa4D8pUgCPjdf3dh7CNfY0dpg8/fV9lsgMlqg1qpQA5HhxARURjzOzh64YUXMHjwYEyZMgV6vR56vR7Tpk1DcXExnn/++VCsMeo0tUujQwLPxDnqjprRZrSgpE7sij0iNxGpcVqMGZAMQDzS74+X1x/DJ7tOwyYAu/yoWSqtk+qNYnq1CJyIiMhfftccJScn45NPPsHRo0flo/zDhw9HcXFx0BcXrZrsW1ZJAW6rAY4TawcrWnCgohmCAGQl6pAeL54UO3doBn4qa8TaQ9U4f2QWXll/HO/8UIorxudhySUj3d7nd4dr8MxXhxzr7PB9a620XgzOCtLiAv0nERER9QqfgyObzYann34a//vf/2AymTB79mwsWbIEMTExoVxfVOrpaTXAsa12qKoFe8vFYuyRuUny9bOGZuK5b45g7aFqnLN0LVqM4lbeh9tP4U8Xj4BC4dp8sqy+HXe9uxM2AYjTqtBmsvoVHJ20Z44Gst6IiIjCnM/7G48//jgefPBBxMfHIy8vD88//zzuuOOOUK4tajm21QIPjgZnxEOtVKDFYMGag2JX85G5jm7ZY/KSkBqnhcFsQ4vRgmHZCdCoFGg2WHCqocPlvkwWG3791nY0tptxZn4yFs0Ue1k1+xMc2U+qsRibiIjCnc/B0b///W+89NJL+Oqrr/Dxxx/j008/xdtvvw2bzRbK9UWlYGyradVKFGWIW1ibjtYCAEbkOIIjpVKB/5s7FFOK0vD8dWOx6q5zcEammG2SeiJJthyvw/6KZiTHavDKjeORYW/i2OjPtpo9c1TAY/xERBTmfA6OSktLMW/ePPnvc+bMgUKhwOnTp0OysGglCECT/bRaTwqyAchz1WyC+HfnbTUAuG5iAd65bTIuG5sHpVKBEfbM0v7TrsHRTvuptHOHZiInKUbe7vOv5og9joiIKDL4HBxZLBbo9a5HsDUaDcxm//rdkHdGm9gTCAi8z5FEqjsCgAS9Gvmp3uvDpG23fZ2Co11ljQCAsfnJABwZLV+Do6Z2s3xbbqsREVG487kgWxAELFiwADqdYy6WwWDAokWLEBfnOIG0cuXK4K4wyrSLSSNo1UroNT0b5DvMKTgakZPYpci6M2nb7YDTtpogCHJwNK4gGYCjULyx3bfg6KT9pFpGgg6x2oBmHRMREfUan9+p5s+f3+WyG2+8MaiLIUdw1JNibIlz5miEUzG2J8Pttylv7EBjuwnJsVqcqGtHY7sZWrVS3qaTgqPmDjMEQeg26OJJNSIiiiQ+B0fLly8P5TrIrt0iBho93VIDgLzkGCTo1GgxWrrUG7mTqNcgPzUGZfUd2H+6GVOL07GrTKw3GpWbCK1aaV+bWAtlstpgMNsQo/We4SrlSTUiIoogbFUcZqTMUU96HEkUCgV+Pj4POUl6zBiS7tP3jMwRgyjpxJrUBXtsfop8mzitCiqlGMT5UnfEk2pERBRJGByFGUdwFJwhvn+5bBS2PDAbmQm+zTPrfGJtp1SMba83AsSgS6476jB1e59SzRFPqhERUSRgcBRm5JqjIGyrBUIqyt53uhkGs1Uuzh5nP6kmkY/z+1CULWeOUjk6hIiIwh+DozAj1RwFY1stECPzxODoaE0rdpQ2wGwVkB6vxYAU1zYAvvY6MlqsqGg2AGDmiIiIIgODozATzNNqgchO1CMlVgOrTcD7204BEPsbdT6R5mtwVFbfAUEAYrUqpMUFZ6uQiIgolBgchZm+3lZTKBydsj/fUwHA0fzRme/BkeOkWndH/omIiMIBg6MwIwVHiX2UOQIcdUcmizg3b1xBSpfb+BocnaxjMTYREUUWBkdhxtHnqO+2oJx7IikUwJgBXXskJfs4QuSkPFONxdhERBQZGByFmb6uOQJcu2kXZ8QjQd91Lb6OEHGcVGPmiIiIIgODozATzCaQgSpKj4PO3g3bXb0R4Nj28z1zxOCIiIgiA4OjMGK22mC0BW98SKDUKiWG2euO3NUbAY7MlrfgyGYTXAqyiYiIIgFHpIeRZqdAw91WVm96+KLh+GJvJa4Yn+f2eufhs54cr22D0WKDSqlAbnKMx9sRERGFEwZHYaSxQ9xTS9Sr5dllfWVCYSomFKZ6vD4pVhof4jk4emNTCQBgenE6NComKYmIKDLwHSuMSFtUfVlv5Cvno/yCIHS5vqrZgA/sTSTvOLe4V9dGRETUEwyOwkgkBUfJ9sG4VpuANpO1y/X/2lgCk9WGCQNTMHGQ5wwUERFRuGFwFEYiKTjSa5TQ2rfKGttNLtc1tpvw/74/CYBZIyIiijwMjsKIFBz1ZY8jXykUCo/H+VdsPoF2kxXDcxIxa2hGXyyPiIgoYAyOwogUZCTGREadfJJ9nc7BUZvRghWbTwAAbp81mPPUiIgo4jA4CiPSabVIyBwBjhEnzsf53/2xDI3tZhSmxWLe6Jy+WhoREVHAGByFESnISOrDBpD+cDdC5LvDNQCAm6cU9nk7AiIiokAwOAojUs+gxD5uAOmrJDc1R8drWwEAI53msxEREUUSBkdhJJIKsoGuwZHBbMWphg4AwODM+D5bFxERUU8wOAojjm21SCnIdg2OTtS1QRDEDt9pcdq+XBoREVHAGByFEWlbLSnCttWkdR+vaQMAFGXE85QaERFFLAZHYUIQBDTZT6tFWkG2lPE6Vi3WGw3O4JYaERFFLgZHYcImAI9eOgKXDbQiJTYytqSSY1231Y7XSpmjuD5bExERUU9FRnFLFFApFbj6rDzEVf0EnToyYtbOR/mP1TBzREREkS8y3oUpLDkXZAuCINccDWbmiIiIIhiDIwqYVBvVbDCjqtmIVqMFSgVQkBbbxysjIiIKHIMjCpiUORIEYFdZIwCgIDUWOrWqD1dFRETUMwyOKGA6tQp6jfgjtLO0AYB4jJ+IiCiSMTiiHpGyRztLGwGw3oiIiCIfgyPqkeQYse3A7vJGAMwcERFR5GNwRD0iZY4MZhsAoCidmSMiIopsDI6oRxI7DcnlwFkiIop0DI6oR5KcgiMOnCUiov6AwRH1SLLTHLjBmRw4S0REkY/BEfWIc+aoKJ1bakREFPkYHFGPuARHPMZPRET9AIMj6hGXbTUe4ycion6AwRH1iPNpNTaAJCKi/oDBEfWItK2mUio4cJaIiPoFdV8vgCJbcWY80uK0GJWXxIGzRETULzA4oh5J1Guw6f7zoFMzCUlERP0DgyPqMb2GGSMiIuo/+HGfiIiIyAmDIyIiIiInDI6IiIiInDA4IiIiInLC4IiIiIjICYMjIiIiIicMjoiIiIicMDgiIiIicsLgiIiIiMgJgyMiIiIiJwyOiIiIiJwwOCIiIiJywuCIiIiIyAmDIyIiIiInDI6IiIiInDA4IiIiInLC4IiIiIjICYMjIiIiIicMjoiIiIicMDgiIiIicsLgiIiIiMgJgyMiIiIiJwyOiIiIiJwwOCIiIiJywuCIiIiIyAmDIyIiIiInERMcPf7445g6dSpiY2ORnJzs8XYrVqzAmDFjoNfrkZmZiTvuuMPl+vfeew9jx45FbGwsBg4ciKeffjrEKyciIqJIou7rBfjKZDLh6quvxpQpU/Cvf/3L7W3+9re/YdmyZXj66acxadIktLW14cSJE/L1X3zxBW644Qb8/e9/x/nnn48DBw5g4cKFiImJwZ133tlL/xIiIiIKZxETHD3yyCMAxMyQOw0NDXjooYfw6aefYvbs2fLlY8aMkf/81ltv4fLLL8eiRYsAAEVFRXjggQewdOlS3HHHHVAoFKH7BxAREVFEiJjgqDurV6+GzWZDeXk5hg8fjpaWFkydOhXLli1Dfn4+AMBoNCI2Ntbl+2JiYnDq1CmcPHkShYWFbu/baDTCaDTKf29qagIA1NfXw2w2B+3fYDab0d7ejrq6Omg0mqDdL7ni89w7+Dz3Hj7XvYPPc+8I5fPc0tICABAEwfsNhQizfPlyISkpqcvlTz75pKDRaIShQ4cKX375pbBlyxZh9uzZwtChQwWj0SgIgiC8+uqrQmxsrPDNN98IVqtVOHTokDBs2DABgLB582aPj7lkyRIBAL/4xS9+8Ytf/OoHX2VlZV5jjT7NHN1///1YunSp19scOHAAw4YN6/a+bDYbzGYzXnjhBZx//vkAgHfeeQfZ2dlYu3Yt5s6di4ULF+LYsWO4+OKLYTabkZiYiLvvvht//vOfoVR6rk1/4IEHcM8997g8Vn19PdLS0oK6Fdfc3Iz8/HyUlZUhMTExaPdLrvg89w4+z72Hz3Xv4PPcO0L5PAuCgJaWFuTm5nq9XZ8GR3/4wx+wYMECr7cpKiry6b5ycnIAACNGjJAvy8jIQHp6OkpLSwEACoUCS5cuxRNPPIHKykpkZGRgzZo13T6OTqeDTqdzuczbibmeSkxM5C9eL+Dz3Dv4PPcePte9g89z7wjV85yUlNTtbfo0OMrIyEBGRkZQ7mvatGkAgEOHDmHAgAEAxJqg2tpaDBw40OW2KpUKeXl5AMTs0pQpU4K2DiIiIopsEVOQXVpaivr6epSWlsJqtWLXrl0AgOLiYsTHx2PIkCG47LLLcPfdd+Of//wnEhMT8cADD2DYsGE499xzAQC1tbX44IMPMGvWLBgMBixfvhzvv/8+1q9f34f/MiIiIgonEdME8k9/+hPGjRuHJUuWoLW1FePGjcO4ceOwbds2+Tb//ve/MWnSJFx00UWYOXMmNBoNvvzyS5dq9zfffBMTJkzAtGnTsG/fPqxbtw4TJ07si39SFzqdDkuWLOmyhUfBxee5d/B57j18rnsHn+feEQ7Ps0IQujvPRkRERBQ9IiZzRERERNQbGBwREREROWFwREREROSEwRERERGREwZHvezFF19EYWEh9Ho9Jk2ahB9++MHr7d9//30MGzYMer0eo0ePxqpVq3pppZHNn+f5tddewznnnIOUlBSkpKRgzpw53f5/IZG/P8+Sd999FwqFApdffnloF9hP+Ps8NzY24o477kBOTg50Oh2GDBnC1w4f+ftcP/fccxg6dChiYmKQn5+P3//+9zAYDL202sj03Xff4ZJLLkFubi4UCgU+/vjjbr9n3bp1GD9+PHQ6HYqLiz0OoQ+awKeckb/effddQavVCm+88Yawb98+YeHChUJycrJQVVXl9vabNm0SVCqV8Ne//lXYv3+/8NBDDwkajUbYs2dPL688svj7PP/iF78QXnzxRWHnzp3CgQMHhAULFghJSUnCqVOnennlkcXf51lSUlIi5OXlCeecc45w2WWX9c5iI5i/z7PRaBQmTJggzJs3T9i4caNQUlIirFu3Tti1a1cvrzzy+Ptcv/3224JOpxPefvttoaSkRPjqq6+EnJwc4fe//30vrzyyrFq1Sli8eLGwcuVKAYDw0Ucfeb398ePHhdjYWOGee+4R9u/fL/z9738XVCqV8OWXX4ZsjQyOetHEiROFO+64Q/671WoVcnNzhSeffNLt7a+55hrhoosucrls0qRJwq9//euQrjPS+fs8d2axWISEhAThzTffDNUS+4VAnmeLxSJMnTpVeP3114X58+czOPKBv8/zyy+/LBQVFQkmk6m3lthv+Ptc33HHHcJ5553nctk999wjTJs2LaTr7E98CY7+7//+Txg5cqTLZddee60wd+7ckK2L22q9xGQyYfv27ZgzZ458mVKpxJw5c7Blyxa337NlyxaX2wPA3LlzPd6eAnueO2tvb4fZbEZqamqolhnxAn2e//KXvyAzMxO//OUve2OZES+Q5/l///sfpkyZgjvuuANZWVkYNWoUnnjiCVit1t5adkQK5LmeOnUqtm/fLm+9HT9+HKtWrcK8efN6Zc3Roi/eCyNmfEikq62thdVqRVZWlsvlWVlZOHjwoNvvqaysdHv7ysrKkK0z0gXyPHf2xz/+Ebm5uV1+GckhkOd548aN+Ne//iWP/qHuBfI8Hz9+HN9++y1uuOEGrFq1CkePHsXtt98Os9mMJUuW9MayI1Igz/UvfvEL1NbWYvr06RAEARaLBYsWLcKDDz7YG0uOGp7eC5ubm9HR0YGYmJigPyYzR0ROnnrqKbz77rv46KOPoNfr+3o5/UZLSwtuuukmvPbaa0hPT+/r5fRrNpsNmZmZ+Oc//4mzzjoL1157LRYvXoxXXnmlr5fW76xbtw5PPPEEXnrpJezYsQMrV67E559/jkcffbSvl0Y9xMxRL0lPT4dKpUJVVZXL5VVVVcjOznb7PdnZ2X7dngJ7niXPPPMMnnrqKXzzzTcYM2ZMKJcZ8fx9no8dO4YTJ07gkksukS+z2WwAALVajUOHDmHw4MGhXXQECuTnOScnBxqNBiqVSr5s+PDhqKyshMlkglarDemaI1Ugz/XDDz+Mm266Cb/61a8AAKNHj0ZbWxtuu+02LF68GEol8w/B4Om9MDExMSRZI4CZo16j1Wpx1llnYc2aNfJlNpsNa9aswZQpU9x+z5QpU1xuDwCrV6/2eHsK7HkGgL/+9a949NFH8eWXX2LChAm9sdSI5u/zPGzYMOzZswe7du2Svy699FKce+652LVrF/Lz83tz+REjkJ/nadOm4ejRo3LwCQCHDx9GTk4OAyMvAnmu29vbuwRAUlAqcGxp0PTJe2HISr2pi3fffVfQ6XTCihUrhP379wu33XabkJycLFRWVgqCIAg33XSTcP/998u337Rpk6BWq4VnnnlGOHDggLBkyRIe5feBv8/zU089JWi1WuGDDz4QKioq5K+Wlpa++idEBH+f5854Ws03/j7PpaWlQkJCgnDnnXcKhw4dEj777DMhMzNTeOyxx/rqnxAx/H2ulyxZIiQkJAjvvPOOcPz4ceHrr78WBg8eLFxzzTV99U+ICC0tLcLOnTuFnTt3CgCEv/3tb8LOnTuFkydPCoIgCPfff79w0003ybeXjvLfd999woEDB4QXX3yRR/n7m7///e9CQUGBoNVqhYkTJwrff/+9fN3MmTOF+fPnu9z+vffeE4YMGSJotVph5MiRwueff97LK45M/jzPAwcOFAB0+VqyZEnvLzzC+Pvz7IzBke/8fZ43b94sTJo0SdDpdEJRUZHw+OOPCxaLpZdXHZn8ea7NZrPw5z//WRg8eLCg1+uF/Px84fbbbxcaGhp6f+ERZO3atW5fc6Xndv78+cLMmTO7fM/YsWMFrVYrFBUVCcuXLw/pGhWCwNwfERERkYQ1R0REREROGBwREREROWFwREREROSEwRERERGREwZHRERERE4YHBERERE5YXBERERE5ITBEREREYWF7777Dpdccglyc3OhUCjw8ccf+30f7733HsaOHYvY2FgMHDgQTz/9tN/3weCIiIiIwkJbWxvOPPNMvPjiiwF9/xdffIEbbrgBixYtwt69e/HSSy/h2WefxT/+8Q+/7ofBERGFhQULFkChUHT5Onr0aF8vjYh6yYUXXojHHnsMP//5z91ebzQace+99yIvLw9xcXGYNGkS1q1bJ1//1ltv4fLLL8eiRYtQVFSEiy66CA888ACWLl3q1zBgBkdEFDYuuOACVFRUuHwNGjTI5TYmk6mPVkdEfe3OO+/Eli1b8O6772L37t24+uqrccEFF+DIkSMAxOBJr9e7fE9MTAxOnTqFkydP+vw4DI6IKGzodDpkZ2e7fM2ePRt33nknfve73yE9PR1z584FAOzduxcXXngh4uPjkZWVhZtuugm1tbXyfbW1teHmm29GfHw8cnJysGzZMsyaNQu/+93v5Nu4q2lITk7GihUr5L+XlZXhmmuuQXJyMlJTU3HZZZfhxIkT8vULFizA5ZdfjmeeeQY5OTlIS0vDHXfcAbPZLN/GaDTij3/8I/Lz86HT6VBcXIx//etfEAQBxcXFeOaZZ1zWsGvXLmbNiDopLS3F8uXL8f777+Occ87B4MGDce+992L69OlYvnw5AGDu3LlYuXIl1qxZA5vNhsOHD2PZsmUAgIqKCp8fi8EREYW9N998E1qtFps2bcIrr7yCxsZGnHfeeRg3bhy2bduGL7/8ElVVVbjmmmvk77nvvvuwfv16fPLJJ/j666+xbt067Nixw6/HNZvNmDt3LhISErBhwwZs2rQJ8fHxuOCCC1wyWGvXrsWxY8ewdu1avPnmm1ixYoVLgHXzzTfjnXfewQsvvIADBw7g1VdfRXx8PBQKBW699Vb5hV2yfPlyzJgxA8XFxYE9YUT90J49e2C1WjFkyBDEx8fLX+vXr8exY8cAAAsXLsSdd96Jiy++GFqtFpMnT8Z1110HAFAq/Qh5BCKiMDB//nxBpVIJcXFx8tdVV10lzJw5Uxg3bpzLbR999FHh/PPPd7msrKxMACAcOnRIaGlpEbRarfDee+/J19fV1QkxMTHC3XffLV8GQPjoo49c7icpKUlYvny5IAiC8NZbbwlDhw4VbDabfL3RaBRiYmKEr776Sl73wIEDBYvFIt/m6quvFq699lpBEATh0KFDAgBh9erVbv/d5eXlgkqlErZu3SoIgiCYTCYhPT1dWLFihQ/PGlH/1fn389133xVUKpVw8OBB4ciRIy5fFRUVLt9rsViEU6dOCUajUVi1apUAQKiurvb5sdVBDuyIiAJ27rnn4uWXX5b/HhcXh+uvvx5nnXWWy+1++uknrF27FvHx8V3u49ixY+jo6IDJZMKkSZPky1NTUzF06FC/1vPTTz/h6NGjSEhIcLncYDDIn1QBYOTIkVCpVPLfc3JysGfPHgDiFplKpcLMmTPdPkZubi4uuugivPHGG5g4cSI+/fRTGI1GXH311X6tlai/GzduHKxWK6qrq3HOOed4va1KpUJeXh4A4J133sGUKVOQkZHh82MxOCKisBEXF+d2KykuLs7l762trbjkkkuwdOnSLrfNycnxuVZHoVB0OcHiXCvU2tqKs846C2+//XaX73V+odVoNF3u12azARCLQbvzq1/9CjfddBOeffZZLF++HNdeey1iY2N9+jcQ9Setra0uv78lJSXYtWsXUlNTMWTIENxwww24+eabsWzZMowbNw41NTVYs2YNxowZg4suugi1tbX44IMPMGvWLBgMBrlGaf369X6tg8EREUWc8ePH48MPP0RhYSHU6q4vY4MHD4ZGo8HWrVtRUFAAAGhoaMDhw4ddMjgZGRkuRZpHjhxBe3u7y+P897//RWZmJhITEwNa6+jRo2Gz2bB+/XrMmTPH7W3mzZuHuLg4vPzyy/jyyy/x3XffBfRYRJFu27ZtOPfcc+W/33PPPQCA+fPnY8WKFVi+fDkee+wx/OEPf0B5eTnS09MxefJkXHzxxfL3vPnmm7j33nshCAKmTJmCdevWYeLEiX6tgwXZRBRx7rjjDtTX1+P666/Hjz/+iGPHjuGrr77CLbfcAqvVivj4ePzyl7/Efffdh2+//RZ79+7FggULuhRknnfeefjHP/6BnTt3Ytu2bVi0aJFLFuiGG25Aeno6LrvsMmzYsAElJSVYt24d7rrrLpw6dcqntRYWFmL+/Pm49dZb8fHHH8v38d5778m3UalUWLBgAR544AGcccYZmDJlSnCeKKIIM2vWLAiC0OVLOuCg0WjwyCOPoKSkBCaTCadPn8bKlSsxevRoAEB6ejq2bNmC1tZWtLW14ZtvvnHZXvcVgyMiiji5ubnYtGkTrFYrzj//fIwePRq/+93vkJycLAdATz/9NM455xxccsklmDNnDqZPn96ldmnZsmXIz8/HOeecg1/84he49957XbazYmNj8d1336GgoABXXHEFhg8fjl/+8pcwGAx+ZZJefvllXHXVVbj99tsxbNgwLFy4EG1tbS63+eUvfwmTyYRbbrmlB88MEQWDQui84U5E1E/NmjULY8eOxXPPPdfXS+liw4YNmD17NsrKypCVldXXyyGKaqw5IiLqQ0ajETU1Nfjzn/+Mq6++moERURjgthoRUR965513MHDgQDQ2NuKvf/1rXy+HiMBtNSIiIiIXzBwREREROWFwREREROSEwRERERGREwZHRERERE4YHBERERE5YXBERERE5ITBEREREZETBkdERERETv4/izbtP3i6eOYAAAAASUVORK5CYII=\n", "text/plain": [ - "
" + "
" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -369,10 +372,10 @@ "name": "stdout", "output_type": "stream", "text": [ - "DECLARE raw REAL[3360]\n", + "DECLARE raw REAL[4160]\n", "RX(pi) 0\n", - "NONBLOCKING PULSE 0 \"ro_tx\" flat(duration: 1.68e-06, iq: 1.0, scale: 0.04466835921509615, phase: 0.0, detuning: 0.0)\n", - "RAW-CAPTURE 0 \"ro_rx\" 1.68e-06 raw[0]\n", + "PULSE 0 \"rf_f12\" drag_gaussian(alpha: -1.394451807996698, anh: -190000000, detuning: 0, duration: 4e-8, fwhm: 1e-8, phase: 0, scale: 0.28637132443339525, t0: 2e-8)\n", + "RAW-CAPTURE 0 \"ro_rx\" 2.08e-6 raw[0]\n", "\n" ] } @@ -394,9 +397,9 @@ "outputs": [], "source": [ "exe = qc.compiler.native_quil_to_executable(raw_capture_excited)\n", - "qc.run(exe)\n", + "results = qc.run(exe).get_register_map()\n", "\n", - "raw_results_excited = qc.qam.read_memory(region_name='raw')\n", + "raw_results_excited = results[\"raw\"].reshape(shape)\n", "avg_results_excited = raw_results_excited.mean(axis=0) / 2**15" ] }, @@ -409,14 +412,12 @@ "outputs": [ { "data": { - "image/png": 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\n", 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\n", "text/plain": [ - "
" + "
" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -425,15 +426,6 @@ "plt.show()" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### TODO\n", - "\n", - "Discuss readout classification." - ] - }, { "cell_type": "markdown", "metadata": {}, @@ -456,7 +448,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "ERROR: QPU Compiler native_quilt_to_binary failed: RAW-CAPTURE 0 \"ro_rx\" 5e-06 raw[0] would require 10000 samples, butat most 8192 are allowed. Consider using a duration of < 4.096e-06 seconds.\n" + "Could not translate quil: Call failed during gRPC request: status: InvalidArgument, message: \"RAW-CAPTURE 0 \\\"ro_rx\\\" 5e-06 raw[0] would require 10000 samples, butat most 8192 are allowed. Consider using a duration of < 4.096e-06 seconds.\", details: [], metadata: MetadataMap { headers: {\"server\": \"awselb/2.0\", \"date\": \"Fri, 15 Sep 2023 19:18:38 GMT\", \"content-type\": \"application/grpc\", \"content-length\": \"0\", \"x-request-id\": \"5fbba182-ec44-42f4-98e2-dfb66579855e\"} }\n" ] } ], @@ -492,8 +484,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "ERROR: QPU Compiler native_quilt_to_binary failed: RAW-CAPTURE would require DMA buffer of size 381.4697265625 MB but the maximum allowed is 32.0 MB.\n", - "For duration 1e-06 seconds this places a limit of at most 8388 shots.\n" + "Could not translate quil: Call failed during gRPC request: status: InvalidArgument, message: \"RAW-CAPTURE would require DMA buffer of size 381.4697265625 MB but the maximum allowed is 32.0 MB.\\nFor duration 1e-06 seconds this places a limit of at most 8388 shots.\", details: [], metadata: MetadataMap { headers: {\"server\": \"awselb/2.0\", \"date\": \"Fri, 15 Sep 2023 19:18:40 GMT\", \"content-type\": \"application/grpc\", \"content-length\": \"0\", \"x-request-id\": \"a2f6b074-a4e5-4860-bfbb-182f41d6cb48\"} }\n" ] } ], @@ -532,7 +523,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "ERROR: QPU Compiler native_quilt_to_binary failed: Capture conflict: RAW-CAPTURE 0 \"ro_rx\" 1e-06 raw[0] precludes the presence of any other capture instructions, but NONBLOCKING CAPTURE 1 \"ro_rx\" boxcar_kernel(duration: 2.36e-06, scale: 1.0, phase: 1.1499233858972862, detuning: 0.0) q1_unclassified[0] was observed.\n" + "Could not translate quil: Call failed during gRPC request: status: InvalidArgument, message: \"Capture conflict: RAW-CAPTURE 0 \\\"ro_rx\\\" 1e-06 raw[0] precludes the presence of any other capture instructions, but NONBLOCKING CAPTURE 1 \\\"ro_rx\\\" boxcar_kernel(duration: 1.52e-06, scale: 1.0, phase: 1.4934349033969623, detuning: 0.0) q1_unclassified[0] was observed.\", details: [], metadata: MetadataMap { headers: {\"server\": \"awselb/2.0\", \"date\": \"Fri, 15 Sep 2023 19:18:42 GMT\", \"content-type\": \"application/grpc\", \"content-length\": \"0\", \"x-request-id\": \"a0875784-b6b9-4b97-8c04-39cffd3ec53c\"} }\n" ] } ], @@ -551,18 +542,11 @@ "except Exception as e:\n", " print(e)" ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -576,7 +560,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.6" + "version": "3.8.14" }, "toc": { "base_numbering": 1, @@ -593,5 +577,5 @@ } }, "nbformat": 4, - "nbformat_minor": 2 + "nbformat_minor": 4 } diff --git a/docs/source/quilt_waveforms.ipynb b/docs/source/quilt_waveforms.ipynb index 941cfb2ae..1f70c3432 100644 --- a/docs/source/quilt_waveforms.ipynb +++ b/docs/source/quilt_waveforms.ipynb @@ -16,7 +16,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# Pulses and Waveforms\n", + "# Pulses and waveforms\n", "\n", "\n", "A waveform is simply a time varying signal. When a pulse operation occurs, a digital to analog converter produces a signal by combinding the following data:\n", @@ -136,7 +136,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "flat(duration: 1e-06, iq: 1.0)\n" + "flat(duration: 1e-6, iq: 1)\n" ] }, { @@ -145,328 +145,345 @@ "\n", "\n", - "\n", - "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " 2023-09-15T14:32:51.996913\n", + " image/svg+xml\n", + " \n", + " \n", + " Matplotlib v3.7.2, https://matplotlib.org/\n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + "\" style=\"fill: #ffffff\"/>\n", " \n", " \n", " \n", - " \n", + "\" style=\"fill: #ffffff\"/>\n", " \n", " \n", " \n", " \n", " \n", - " \n", + "\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", @@ -474,163 +491,161 @@ " \n", " \n", " \n", - " \n", + "\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + "\" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", + "L 393.585625 7.2 \n", + "\" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n", " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", "\n" ], "text/plain": [ - "
" + "
" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -671,7 +686,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "flat(duration: 1e-06, iq: 1.0, detuning: 10000000.0)\n" + "flat(detuning: 10000000, duration: 1e-6, iq: 1)\n" ] }, { @@ -680,328 +695,345 @@ "\n", "\n", - "\n", - "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " 2023-09-15T14:32:52.057655\n", + " image/svg+xml\n", + " \n", + " \n", + " Matplotlib v3.7.2, https://matplotlib.org/\n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + "\" style=\"fill: #ffffff\"/>\n", " \n", " \n", " \n", - " \n", + "\" style=\"fill: #ffffff\"/>\n", " \n", " \n", " \n", " \n", " \n", - " \n", + "\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", @@ -1009,572 +1041,612 @@ " \n", " \n", " \n", - " \n", + "\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + "\" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", + "L 401.965312 7.2 \n", + "\" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n", " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", "\n" ], "text/plain": [ - "
" + "
" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -1618,7 +1690,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "gaussian(duration: 1e-06, fwhm: 4e-07, t0: 5e-07)\n" + "gaussian(duration: 1e-6, fwhm: 4e-7, t0: 5e-7)\n" ] }, { @@ -1627,328 +1699,345 @@ "\n", "\n", - "\n", - "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " 2023-09-15T14:32:52.107436\n", + " image/svg+xml\n", + " \n", + " \n", + " Matplotlib v3.7.2, https://matplotlib.org/\n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + "\" style=\"fill: #ffffff\"/>\n", " \n", " \n", " \n", - " \n", + "\" style=\"fill: #ffffff\"/>\n", " \n", " \n", " \n", " \n", " \n", - " \n", + "\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", @@ -1956,223 +2045,228 @@ " \n", " \n", " \n", - " \n", + "\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + "\" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", + "L 387.223125 7.2 \n", + "\" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n", " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", "\n" ], "text/plain": [ - "
" + "
" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -2219,7 +2313,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "drag_gaussian(duration: 1e-06, fwhm: 4e-07, t0: 5e-07, anh: 1.1, alpha: 1.0)\n" + "drag_gaussian(alpha: 1, anh: 1.1, duration: 1e-6, fwhm: 4e-7, t0: 5e-7)\n" ] }, { @@ -2228,328 +2322,345 @@ "\n", "\n", - "\n", - "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " 2023-09-15T14:32:52.165426\n", + " image/svg+xml\n", + " \n", + " \n", + " Matplotlib v3.7.2, https://matplotlib.org/\n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + "\" style=\"fill: #ffffff\"/>\n", " \n", " \n", " \n", - " \n", + "\" style=\"fill: #ffffff\"/>\n", " \n", " \n", " \n", " \n", " \n", - " \n", + "\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", @@ -2557,223 +2668,228 @@ " \n", " \n", " \n", - " \n", + "\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + "\" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", + "L 387.223125 7.2 \n", + "\" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n", " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", "\n" ], "text/plain": [ - "
" + "
" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -2802,7 +2918,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "drag_gaussian(duration: 1e-06, fwhm: 4e-07, t0: 5e-07, anh: 1.1, alpha: 1.0, detuning: 10000000.0)\n" + "drag_gaussian(alpha: 1, anh: 1.1, detuning: 10000000, duration: 1e-6, fwhm: 4e-7, t0: 5e-7)\n" ] }, { @@ -2811,328 +2927,345 @@ "\n", "\n", - "\n", - "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " 2023-09-15T14:32:52.235035\n", + " image/svg+xml\n", + " \n", + " \n", + " Matplotlib v3.7.2, https://matplotlib.org/\n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + "\" style=\"fill: #ffffff\"/>\n", " \n", " \n", " \n", - " \n", + "\" style=\"fill: #ffffff\"/>\n", " \n", " \n", " \n", " \n", " \n", - " \n", + "\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", @@ -3140,467 +3273,479 @@ " \n", " \n", " \n", - " \n", + "\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + "\" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", + "L 417.874688 7.2 \n", + "\" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n", " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", "\n" ], "text/plain": [ - "
" + "
" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -3646,7 +3791,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "hrm_gaussian(duration: 1e-06, fwhm: 4e-07, t0: 5e-07, anh: 1.1, alpha: 1.0, second_order_hrm_coeff: 0.5)\n" + "hrm_gaussian(alpha: 1, anh: 1.1, duration: 1e-6, fwhm: 4e-7, second_order_hrm_coeff: 0.5, t0: 5e-7)\n" ] }, { @@ -3655,328 +3800,345 @@ "\n", "\n", - "\n", - "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " 2023-09-15T14:32:52.298030\n", + " image/svg+xml\n", + " \n", + " \n", + " Matplotlib v3.7.2, https://matplotlib.org/\n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + "\" style=\"fill: #ffffff\"/>\n", " \n", " \n", " \n", - " \n", + "\" style=\"fill: #ffffff\"/>\n", " \n", " \n", " \n", " \n", " \n", - " \n", + "\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", @@ -3984,229 +4146,234 @@ " \n", " \n", " \n", - " \n", + "\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + "\" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", + "L 387.223125 7.2 \n", + "\" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n", " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", "\n" ], "text/plain": [ - "
" + "
" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -4246,7 +4413,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "erf_square(duration: 1e-06, risetime: 1e-07, pad_left: 1e-07, pad_right: 1e-07)\n" + "erf_square(duration: 1e-6, pad_left: 1e-7, pad_right: 1e-7, risetime: 1e-7)\n" ] }, { @@ -4255,343 +4422,360 @@ "\n", "\n", - "\n", - "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " 2023-09-15T14:32:52.363442\n", + " image/svg+xml\n", + " \n", + " \n", + " Matplotlib v3.7.2, https://matplotlib.org/\n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + "\" style=\"fill: #ffffff\"/>\n", " \n", " \n", " \n", - " \n", + "\" style=\"fill: #ffffff\"/>\n", " \n", " \n", " \n", " \n", " \n", - " \n", + "\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", @@ -4599,197 +4783,201 @@ " \n", " \n", " \n", - " \n", + "\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + "\" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", + "L 387.223125 7.2 \n", + "\" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n", " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", "\n" ], "text/plain": [ - "
" + "
" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -4844,7 +5032,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "boxcar_kernel(duration: 1e-06)\n" + "boxcar_kernel(duration: 1e-6)\n" ] }, { @@ -4853,328 +5041,345 @@ "\n", "\n", - "\n", - "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " 2023-09-15T14:32:52.436673\n", + " image/svg+xml\n", + " \n", + " \n", + " Matplotlib v3.7.2, https://matplotlib.org/\n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + "\" style=\"fill: #ffffff\"/>\n", " \n", " \n", " \n", - " \n", + "\" style=\"fill: #ffffff\"/>\n", " \n", " \n", " \n", " \n", " \n", - " \n", + "\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", @@ -5182,178 +5387,176 @@ " \n", " \n", " \n", - " \n", + "\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + "\" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", + "L 412.673125 7.2 \n", + "\" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n", " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", "\n" ], "text/plain": [ - "
" + "
" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -5427,18 +5630,11 @@ "\n", "all of which support run-time parameter arguments." ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -5452,7 +5648,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.10" + "version": "3.8.14" }, "toc": { "base_numbering": 1, @@ -5469,5 +5665,5 @@ } }, "nbformat": 4, - "nbformat_minor": 2 + "nbformat_minor": 4 } diff --git a/poetry.lock b/poetry.lock index c805f203f..ad2de3cb7 100644 --- a/poetry.lock +++ b/poetry.lock @@ -3211,4 +3211,4 @@ latex = ["ipython"] [metadata] lock-version = "2.0" python-versions = "^3.8,<4.0" -content-hash = "8c2d5623878f0333c8475f6392ad33d9fabf17fe0e7f542ed12f71958eff1967" +content-hash = "e801f052cb41f43da6d95646371b0fc45e552881b9d3fe138e6169ca790c2597" diff --git a/pyproject.toml b/pyproject.toml index e96f06c9d..d2b122df3 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -43,6 +43,7 @@ nbsphinx = { version = "^0.9.1", optional = true } recommonmark = { version = "^0.7.1", optional = true } pandoc = {version = "2.4b0", optional = true} matplotlib = {version = "^3.7.1", optional = true} +matplotlib-inline = {version = "^0.1.6", optional = true} seaborn = {version = "^0.12.2", optional = true} deprecated = "^1.2.13" types-deprecated = "^1.2.9.2"