Restore mypy checks on Windows and lowest Numpy version #818
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The issue in PyTorch was resolved in the 2.4 release, so this constraint will be released accordingly. After the release the tests will run with the latest Pytorch and a compatible Numpy install (usually >2.0). |
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The UTF encoding issue is resolved but the Numpy still needs to be restricted to <2 when used with PyTorch as a workaround for Windows. |
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* Migrating `qiskit_algorithms` (qiskit-community#817) * Update README.md * Generalize the Einstein summation signature * Add reno * Update Copyright * Rename and add test * Update Copyright * Add docstring for `test_get_einsum_signature` * Correct spelling * Disable spellcheck for comments * Add `docstring` in pylint dict * Delete example in docstring * Add Einstein in pylint dict * Add full use case in einsum dict * Spelling and type ignore * Spelling and type ignore * Spelling and type ignore * Spelling and type ignore * Spelling and type ignore * Remove for loop in einsum function and remove Literal arguments (1/2) * Remove for loop in einsum function and remove Literal arguments (1/2) * Remove for loop in einsum function and remove Literal arguments (2/2) * Update RuntimeError msg * Update RuntimeError msg - line too long * Trigger CI * Merge algos, globals.random to fix * Fixed `algorithms_globals` * Import /tests and run CI locally * Fix copyrights and some spellings * Ignore mypy in 8 instances * Merge spell dicts * Black reformatting * Black reformatting * Add reno * Lint sanitize * Pylint * Pylint * Pylint * Pylint * Fix relative imports in tutorials * Fix relative imports in tutorials * Remove algorithms from Jupyter magic methods * Temporarily disable "Run stable tutorials" tests * Change the docstrings with imports from qiskit_algorithms * Styling * Update qiskit_machine_learning/optimizers/gradient_descent.py Co-authored-by: Declan Millar <declan.millar@ibm.com> * Update qiskit_machine_learning/optimizers/optimizer_utils/learning_rate.py Co-authored-by: Declan Millar <declan.millar@ibm.com> * Add more tests for utils * Add more tests for optimizers: adam, bobyqa, gsls and imfil * Fix random seed for volatile optimizers * Fix random seed for volatile optimizers * Add more tests * Pylint dict * Activate scikit-quant-0.8.2 * Remove scikit-quant methods * Remove scikit-quant methods (2) * Edit the release notes and Qiskit version 1+ * Edit the release notes and Qiskit version 1+ * Add Qiskit 1.0 upgrade in reno * Add Qiskit 1.0 upgrade in reno * Add Qiskit 1.0 upgrade in reno * Apply line breaks * Restructure line breaks --------- Co-authored-by: FrancescaSchiav <FrancescaSchiav@users.noreply.github.com> Co-authored-by: M. Emre Sahin <40424147+OkuyanBoga@users.noreply.github.com> Co-authored-by: Declan Millar <declan.millar@ibm.com> * Revamp readme pt2 (qiskit-community#822) * Restructure README.md --------- Co-authored-by: Steve Wood <40241007+woodsp-ibm@users.noreply.github.com> * V2 Primitive Support for SamplerQNN and Gradients * Update base_sampler_gradient.py * Update qiskit_machine_learning/gradients/param_shift/param_shift_sampler_gradient.py Co-authored-by: Edoardo Altamura <38359901+edoaltamura@users.noreply.github.com> * Update qiskit_machine_learning/gradients/spsa/spsa_sampler_gradient.py Co-authored-by: Edoardo Altamura <38359901+edoaltamura@users.noreply.github.com> * Update qiskit_machine_learning/gradients/spsa/spsa_sampler_gradient.py Co-authored-by: Edoardo Altamura <38359901+edoaltamura@users.noreply.github.com> * Update qiskit_machine_learning/neural_networks/sampler_qnn.py Co-authored-by: Edoardo Altamura <38359901+edoaltamura@users.noreply.github.com> * Update qiskit_machine_learning/neural_networks/sampler_qnn.py Co-authored-by: Edoardo Altamura <38359901+edoaltamura@users.noreply.github.com> * Update qiskit_machine_learning/neural_networks/sampler_qnn.py Co-authored-by: Edoardo Altamura <38359901+edoaltamura@users.noreply.github.com> * Update qiskit_machine_learning/neural_networks/sampler_qnn.py Co-authored-by: Edoardo Altamura <38359901+edoaltamura@users.noreply.github.com> * Update qiskit_machine_learning/neural_networks/sampler_qnn.py Co-authored-by: Edoardo Altamura <38359901+edoaltamura@users.noreply.github.com> * Update qiskit_machine_learning/neural_networks/sampler_qnn.py Co-authored-by: Edoardo Altamura <38359901+edoaltamura@users.noreply.github.com> * Fix lint errors due to Pylint 3.3.0 update in CI (qiskit-community#833) * disable=too-many-positional-arguments * Transfer pylint rc to toml * Transfer pylint rc to toml * Minor fixes * Remove Python 3.8 from CI (qiskit-community#824) (qiskit-community#826) * Remove Python 3.8 in CI (qiskit-community#824) * Correct `tmp` dirs (qiskit-community#818) * Correct unit py version (qiskit-community#818) * Add reno (qiskit-community#818) * Finalze removal of py38 (qiskit-community#818) * Spelling * Remove duplicate tmp folder * Updated the release note * Bump min pyversion in toml * Remove ipython constraints * Update reno * Updated test for test_sampler_qnn * Fix: output_shape * Adding optimisation level to TestSamplerQNN SamplerV2 option * Correcting the PUB prep for SamplerV2 by changing max iterator from n to len(job_param_values). Added a load of print statements to investigate behaviour when self._output_shape = (2, 3) - a tuple as this was failing tests due to a comparison in line 166. This has lead me to think that the way we are calculating QuasiDistribution is wrong as we need to know which real qubits the virtual qubits have been transpiled too to calculate the correct dist for SamplerV2. Following this up with IBM runtime. * Update sampler_qnn.py for correcting tuple output_shape when interpret is provided. * Adding ISA capabilities to gradients * Fix output shape and its default for V2 * Implement SamplerV2 for bayesian inference * Implement SamplerV2 for bayesian inference * Adding ISA capabilities to SamplerQNN and ParamShiftSamplerGradient * Removing unused backend * Removing failed merge conflicts * Removing residual merge conflicts * added SamplerV2 support for ComputeUncompute * Removing multiple tranpilations within same test * Formatting * Linting * Adding measure_all to setUp * removing default pm --------- Co-authored-by: Edoardo Altamura <38359901+edoaltamura@users.noreply.github.com> Co-authored-by: FrancescaSchiav <FrancescaSchiav@users.noreply.github.com> Co-authored-by: Declan Millar <declan.millar@ibm.com> Co-authored-by: Steve Wood <40241007+woodsp-ibm@users.noreply.github.com> Co-authored-by: oscar-wallis <oscar.wallis@outlook.com>
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Nov 7, 2024
* Migrating `qiskit_algorithms` (qiskit-community#817) * Update README.md * Generalize the Einstein summation signature * Add reno * Update Copyright * Rename and add test * Update Copyright * Add docstring for `test_get_einsum_signature` * Correct spelling * Disable spellcheck for comments * Add `docstring` in pylint dict * Delete example in docstring * Add Einstein in pylint dict * Add full use case in einsum dict * Spelling and type ignore * Spelling and type ignore * Spelling and type ignore * Spelling and type ignore * Spelling and type ignore * Remove for loop in einsum function and remove Literal arguments (1/2) * Remove for loop in einsum function and remove Literal arguments (1/2) * Remove for loop in einsum function and remove Literal arguments (2/2) * Update RuntimeError msg * Update RuntimeError msg - line too long * Trigger CI * Merge algos, globals.random to fix * Fixed `algorithms_globals` * Import /tests and run CI locally * Fix copyrights and some spellings * Ignore mypy in 8 instances * Merge spell dicts * Black reformatting * Black reformatting * Add reno * Lint sanitize * Pylint * Pylint * Pylint * Pylint * Fix relative imports in tutorials * Fix relative imports in tutorials * Remove algorithms from Jupyter magic methods * Temporarily disable "Run stable tutorials" tests * Change the docstrings with imports from qiskit_algorithms * Styling * Update qiskit_machine_learning/optimizers/gradient_descent.py Co-authored-by: Declan Millar <declan.millar@ibm.com> * Update qiskit_machine_learning/optimizers/optimizer_utils/learning_rate.py Co-authored-by: Declan Millar <declan.millar@ibm.com> * Add more tests for utils * Add more tests for optimizers: adam, bobyqa, gsls and imfil * Fix random seed for volatile optimizers * Fix random seed for volatile optimizers * Add more tests * Pylint dict * Activate scikit-quant-0.8.2 * Remove scikit-quant methods * Remove scikit-quant methods (2) * Edit the release notes and Qiskit version 1+ * Edit the release notes and Qiskit version 1+ * Add Qiskit 1.0 upgrade in reno * Add Qiskit 1.0 upgrade in reno * Add Qiskit 1.0 upgrade in reno * Apply line breaks * Restructure line breaks --------- Co-authored-by: FrancescaSchiav <FrancescaSchiav@users.noreply.github.com> Co-authored-by: M. Emre Sahin <40424147+OkuyanBoga@users.noreply.github.com> Co-authored-by: Declan Millar <declan.millar@ibm.com> * Revamp readme pt2 (qiskit-community#822) * Restructure README.md --------- Co-authored-by: Steve Wood <40241007+woodsp-ibm@users.noreply.github.com> * Added support for EstimatorV2 primitives * Update qiskit_machine_learning/neural_networks/estimator_qnn.py Co-authored-by: Edoardo Altamura <38359901+edoaltamura@users.noreply.github.com> * Update qiskit_machine_learning/neural_networks/estimator_qnn.py Co-authored-by: Edoardo Altamura <38359901+edoaltamura@users.noreply.github.com> * Update qiskit_machine_learning/neural_networks/estimator_qnn.py Co-authored-by: Edoardo Altamura <38359901+edoaltamura@users.noreply.github.com> * Update qiskit_machine_learning/neural_networks/estimator_qnn.py Co-authored-by: Edoardo Altamura <38359901+edoaltamura@users.noreply.github.com> * Update qiskit_machine_learning/gradients/param_shift/param_shift_estimator_gradient.py Co-authored-by: Edoardo Altamura <38359901+edoaltamura@users.noreply.github.com> * Update qiskit_machine_learning/gradients/spsa/spsa_estimator_gradient.py Co-authored-by: Edoardo Altamura <38359901+edoaltamura@users.noreply.github.com> * Update qiskit_machine_learning/gradients/param_shift/param_shift_estimator_gradient.py Co-authored-by: Edoardo Altamura <38359901+edoaltamura@users.noreply.github.com> * Update qiskit_machine_learning/neural_networks/estimator_qnn.py Co-authored-by: Edoardo Altamura <38359901+edoaltamura@users.noreply.github.com> * Update qiskit_machine_learning/neural_networks/estimator_qnn.py Co-authored-by: Edoardo Altamura <38359901+edoaltamura@users.noreply.github.com> * Update qiskit_machine_learning/gradients/param_shift/param_shift_estimator_gradient.py Co-authored-by: Edoardo Altamura <38359901+edoaltamura@users.noreply.github.com> * Fix lint errors due to Pylint 3.3.0 update in CI (qiskit-community#833) * disable=too-many-positional-arguments * Transfer pylint rc to toml * Transfer pylint rc to toml * Cleaner statements * Remove Python 3.8 from CI (qiskit-community#824) (qiskit-community#826) * Remove Python 3.8 in CI (qiskit-community#824) * Correct `tmp` dirs (qiskit-community#818) * Correct unit py version (qiskit-community#818) * Add reno (qiskit-community#818) * Finalze removal of py38 (qiskit-community#818) * Spelling * Remove duplicate tmp folder * Updated the release note * Bump min pyversion in toml * Remove ipython constraints * Update reno * Added unit tests for estimatorqnnV2 and minor fixes * Make black * Make lint and changes to V1/2 choice logics * Update requirements * Add default precision * Update estimator tests * Change num qubits in backend * Allow for num_qubits=None * Fix shape in parameter shift * Fix shape in parameter shift * Fix shape observables * Fix shape observables * Change default precision to match base estimator * Fix remaining shape issues * Estimator seed has no effect in local testing * fix argnames and supress error tolerance for test_estimator_qnn_v2 * Added pass manager the gradients. * quick bugfix for isa_circuits * Updating PUBs for estimatorqnn, updating test_estimator_qnn_v2 for ISA circs and relaxing tolerances * Lint and formatting * Tranpiling observables for isa g circs * fixing apply_layout --------- Co-authored-by: Edoardo Altamura <38359901+edoaltamura@users.noreply.github.com> Co-authored-by: FrancescaSchiav <FrancescaSchiav@users.noreply.github.com> Co-authored-by: Declan Millar <declan.millar@ibm.com> Co-authored-by: Steve Wood <40241007+woodsp-ibm@users.noreply.github.com> Co-authored-by: oscar-wallis <oscar.wallis@outlook.com>
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Nov 8, 2024
* Migrating `qiskit_algorithms` (qiskit-community#817) * Update README.md * Generalize the Einstein summation signature * Add reno * Update Copyright * Rename and add test * Update Copyright * Add docstring for `test_get_einsum_signature` * Correct spelling * Disable spellcheck for comments * Add `docstring` in pylint dict * Delete example in docstring * Add Einstein in pylint dict * Add full use case in einsum dict * Spelling and type ignore * Spelling and type ignore * Spelling and type ignore * Spelling and type ignore * Spelling and type ignore * Remove for loop in einsum function and remove Literal arguments (1/2) * Remove for loop in einsum function and remove Literal arguments (1/2) * Remove for loop in einsum function and remove Literal arguments (2/2) * Update RuntimeError msg * Update RuntimeError msg - line too long * Trigger CI * Merge algos, globals.random to fix * Fixed `algorithms_globals` * Import /tests and run CI locally * Fix copyrights and some spellings * Ignore mypy in 8 instances * Merge spell dicts * Black reformatting * Black reformatting * Add reno * Lint sanitize * Pylint * Pylint * Pylint * Pylint * Fix relative imports in tutorials * Fix relative imports in tutorials * Remove algorithms from Jupyter magic methods * Temporarily disable "Run stable tutorials" tests * Change the docstrings with imports from qiskit_algorithms * Styling * Update qiskit_machine_learning/optimizers/gradient_descent.py Co-authored-by: Declan Millar <declan.millar@ibm.com> * Update qiskit_machine_learning/optimizers/optimizer_utils/learning_rate.py Co-authored-by: Declan Millar <declan.millar@ibm.com> * Add more tests for utils * Add more tests for optimizers: adam, bobyqa, gsls and imfil * Fix random seed for volatile optimizers * Fix random seed for volatile optimizers * Add more tests * Pylint dict * Activate scikit-quant-0.8.2 * Remove scikit-quant methods * Remove scikit-quant methods (2) * Edit the release notes and Qiskit version 1+ * Edit the release notes and Qiskit version 1+ * Add Qiskit 1.0 upgrade in reno * Add Qiskit 1.0 upgrade in reno * Add Qiskit 1.0 upgrade in reno * Apply line breaks * Restructure line breaks --------- Co-authored-by: FrancescaSchiav <FrancescaSchiav@users.noreply.github.com> Co-authored-by: M. Emre Sahin <40424147+OkuyanBoga@users.noreply.github.com> Co-authored-by: Declan Millar <declan.millar@ibm.com> * Revamp readme pt2 (qiskit-community#822) * Restructure README.md --------- Co-authored-by: Steve Wood <40241007+woodsp-ibm@users.noreply.github.com> * Fix lint errors due to Pylint 3.3.0 update in CI (qiskit-community#833) * disable=too-many-positional-arguments * Transfer pylint rc to toml * Transfer pylint rc to toml * Remove Python 3.8 from CI (qiskit-community#824) (qiskit-community#826) * Remove Python 3.8 in CI (qiskit-community#824) * Correct `tmp` dirs (qiskit-community#818) * Correct unit py version (qiskit-community#818) * Add reno (qiskit-community#818) * Finalze removal of py38 (qiskit-community#818) * Spelling * Remove duplicate tmp folder * Updated the release note * Bump min pyversion in toml * Remove ipython constraints * Update reno * Reestablish latest Pytorch and Numpy (qiskit-community#818) (qiskit-community#827) * Reestablish latest Pytorch and Numpy (qiskit-community#818) * Keep pinned Numpy * Keep pinned Numpy * Fix numpy min version * Fix RawFeatureVector for failing test case (qiskit-community#838) * Alter RawFeatureVector normalization * Alter RawFeatureVector normalization * Release nbconvert constraints (qiskit-community#842) * Remove redundant MacOS 14 image in CI (qiskit-community#841) * Remove redundant MacOS 14 image * Update with macos-latest-large * Revert "Update with macos-latest-large" This reverts commit 14f945e. * Update with macos-latest-large * Update v2 (#54) * bugfix for V1 * formatting --------- Co-authored-by: oscar-wallis <oscar.wallis@outlook.com> --------- Co-authored-by: Edoardo Altamura <38359901+edoaltamura@users.noreply.github.com> Co-authored-by: FrancescaSchiav <FrancescaSchiav@users.noreply.github.com> Co-authored-by: M. Emre Sahin <40424147+OkuyanBoga@users.noreply.github.com> Co-authored-by: Declan Millar <declan.millar@ibm.com> Co-authored-by: Steve Wood <40241007+woodsp-ibm@users.noreply.github.com>
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Nov 11, 2024
* Update README.md * Generalize the Einstein summation signature * Add reno * Update Copyright * Rename and add test * Update Copyright * Add docstring for `test_get_einsum_signature` * Correct spelling * Disable spellcheck for comments * Add `docstring` in pylint dict * Delete example in docstring * Add Einstein in pylint dict * Add full use case in einsum dict * Spelling and type ignore * Spelling and type ignore * Spelling and type ignore * Spelling and type ignore * Spelling and type ignore * Remove for loop in einsum function and remove Literal arguments (1/2) * Remove for loop in einsum function and remove Literal arguments (1/2) * Remove for loop in einsum function and remove Literal arguments (2/2) * Update RuntimeError msg * Update RuntimeError msg - line too long * Trigger CI * Merge algos, globals.random to fix * Fixed `algorithms_globals` * Import /tests and run CI locally * Fix copyrights and some spellings * Ignore mypy in 8 instances * Merge spell dicts * Black reformatting * Black reformatting * Add reno * Lint sanitize * Pylint * Pylint * Pylint * Pylint * Fix relative imports in tutorials * Fix relative imports in tutorials * Remove algorithms from Jupyter magic methods * Temporarily disable "Run stable tutorials" tests * Change the docstrings with imports from qiskit_algorithms * Styling * Update qiskit_machine_learning/optimizers/gradient_descent.py Co-authored-by: Declan Millar <declan.millar@ibm.com> * Update qiskit_machine_learning/optimizers/optimizer_utils/learning_rate.py Co-authored-by: Declan Millar <declan.millar@ibm.com> * Add more tests for utils * Add more tests for optimizers: adam, bobyqa, gsls and imfil * Fix random seed for volatile optimizers * Fix random seed for volatile optimizers * Add more tests * Pylint dict * Activate scikit-quant-0.8.2 * Remove scikit-quant methods * Remove scikit-quant methods (2) * Edit the release notes and Qiskit version 1+ * Edit the release notes and Qiskit version 1+ * Add Qiskit 1.0 upgrade in reno * Add Qiskit 1.0 upgrade in reno * Add Qiskit 1.0 upgrade in reno * Apply line breaks * Restructure line breaks * Added support for SamplerV2 primitives (#49) * Migrating `qiskit_algorithms` (#817) * Update README.md * Generalize the Einstein summation signature * Add reno * Update Copyright * Rename and add test * Update Copyright * Add docstring for `test_get_einsum_signature` * Correct spelling * Disable spellcheck for comments * Add `docstring` in pylint dict * Delete example in docstring * Add Einstein in pylint dict * Add full use case in einsum dict * Spelling and type ignore * Spelling and type ignore * Spelling and type ignore * Spelling and type ignore * Spelling and type ignore * Remove for loop in einsum function and remove Literal arguments (1/2) * Remove for loop in einsum function and remove Literal arguments (1/2) * Remove for loop in einsum function and remove Literal arguments (2/2) * Update RuntimeError msg * Update RuntimeError msg - line too long * Trigger CI * Merge algos, globals.random to fix * Fixed `algorithms_globals` * Import /tests and run CI locally * Fix copyrights and some spellings * Ignore mypy in 8 instances * Merge spell dicts * Black reformatting * Black reformatting * Add reno * Lint sanitize * Pylint * Pylint * Pylint * Pylint * Fix relative imports in tutorials * Fix relative imports in tutorials * Remove algorithms from Jupyter magic methods * Temporarily disable "Run stable tutorials" tests * Change the docstrings with imports from qiskit_algorithms * Styling * Update qiskit_machine_learning/optimizers/gradient_descent.py Co-authored-by: Declan Millar <declan.millar@ibm.com> * Update qiskit_machine_learning/optimizers/optimizer_utils/learning_rate.py Co-authored-by: Declan Millar <declan.millar@ibm.com> * Add more tests for utils * Add more tests for optimizers: adam, bobyqa, gsls and imfil * Fix random seed for volatile optimizers * Fix random seed for volatile optimizers * Add more tests * Pylint dict * Activate scikit-quant-0.8.2 * Remove scikit-quant methods * Remove scikit-quant methods (2) * Edit the release notes and Qiskit version 1+ * Edit the release notes and Qiskit version 1+ * Add Qiskit 1.0 upgrade in reno * Add Qiskit 1.0 upgrade in reno * Add Qiskit 1.0 upgrade in reno * Apply line breaks * Restructure line breaks --------- Co-authored-by: FrancescaSchiav <FrancescaSchiav@users.noreply.github.com> Co-authored-by: M. Emre Sahin <40424147+OkuyanBoga@users.noreply.github.com> Co-authored-by: Declan Millar <declan.millar@ibm.com> * Revamp readme pt2 (#822) * Restructure README.md --------- Co-authored-by: Steve Wood <40241007+woodsp-ibm@users.noreply.github.com> * V2 Primitive Support for SamplerQNN and Gradients * Update base_sampler_gradient.py * Update qiskit_machine_learning/gradients/param_shift/param_shift_sampler_gradient.py Co-authored-by: Edoardo Altamura <38359901+edoaltamura@users.noreply.github.com> * Update qiskit_machine_learning/gradients/spsa/spsa_sampler_gradient.py Co-authored-by: Edoardo Altamura <38359901+edoaltamura@users.noreply.github.com> * Update qiskit_machine_learning/gradients/spsa/spsa_sampler_gradient.py Co-authored-by: Edoardo Altamura <38359901+edoaltamura@users.noreply.github.com> * Update qiskit_machine_learning/neural_networks/sampler_qnn.py Co-authored-by: Edoardo Altamura <38359901+edoaltamura@users.noreply.github.com> * Update qiskit_machine_learning/neural_networks/sampler_qnn.py Co-authored-by: Edoardo Altamura <38359901+edoaltamura@users.noreply.github.com> * Update qiskit_machine_learning/neural_networks/sampler_qnn.py Co-authored-by: Edoardo Altamura <38359901+edoaltamura@users.noreply.github.com> * Update qiskit_machine_learning/neural_networks/sampler_qnn.py Co-authored-by: Edoardo Altamura <38359901+edoaltamura@users.noreply.github.com> * Update qiskit_machine_learning/neural_networks/sampler_qnn.py Co-authored-by: Edoardo Altamura <38359901+edoaltamura@users.noreply.github.com> * Update qiskit_machine_learning/neural_networks/sampler_qnn.py Co-authored-by: Edoardo Altamura <38359901+edoaltamura@users.noreply.github.com> * Fix lint errors due to Pylint 3.3.0 update in CI (#833) * disable=too-many-positional-arguments * Transfer pylint rc to toml * Transfer pylint rc to toml * Minor fixes * Remove Python 3.8 from CI (#824) (#826) * Remove Python 3.8 in CI (#824) * Correct `tmp` dirs (#818) * Correct unit py version (#818) * Add reno (#818) * Finalze removal of py38 (#818) * Spelling * Remove duplicate tmp folder * Updated the release note * Bump min pyversion in toml * Remove ipython constraints * Update reno * Updated test for test_sampler_qnn * Fix: output_shape * Adding optimisation level to TestSamplerQNN SamplerV2 option * Correcting the PUB prep for SamplerV2 by changing max iterator from n to len(job_param_values). Added a load of print statements to investigate behaviour when self._output_shape = (2, 3) - a tuple as this was failing tests due to a comparison in line 166. This has lead me to think that the way we are calculating QuasiDistribution is wrong as we need to know which real qubits the virtual qubits have been transpiled too to calculate the correct dist for SamplerV2. Following this up with IBM runtime. * Update sampler_qnn.py for correcting tuple output_shape when interpret is provided. * Adding ISA capabilities to gradients * Fix output shape and its default for V2 * Implement SamplerV2 for bayesian inference * Implement SamplerV2 for bayesian inference * Adding ISA capabilities to SamplerQNN and ParamShiftSamplerGradient * Removing unused backend * Removing failed merge conflicts * Removing residual merge conflicts * added SamplerV2 support for ComputeUncompute * Removing multiple tranpilations within same test * Formatting * Linting * Adding measure_all to setUp * removing default pm --------- Co-authored-by: Edoardo Altamura <38359901+edoaltamura@users.noreply.github.com> Co-authored-by: FrancescaSchiav <FrancescaSchiav@users.noreply.github.com> Co-authored-by: Declan Millar <declan.millar@ibm.com> Co-authored-by: Steve Wood <40241007+woodsp-ibm@users.noreply.github.com> Co-authored-by: oscar-wallis <oscar.wallis@outlook.com> * Added support for EstimatorV2 primitives (#48) * Migrating `qiskit_algorithms` (#817) * Update README.md * Generalize the Einstein summation signature * Add reno * Update Copyright * Rename and add test * Update Copyright * Add docstring for `test_get_einsum_signature` * Correct spelling * Disable spellcheck for comments * Add `docstring` in pylint dict * Delete example in docstring * Add Einstein in pylint dict * Add full use case in einsum dict * Spelling and type ignore * Spelling and type ignore * Spelling and type ignore * Spelling and type ignore * Spelling and type ignore * Remove for loop in einsum function and remove Literal arguments (1/2) * Remove for loop in einsum function and remove Literal arguments (1/2) * Remove for loop in einsum function and remove Literal arguments (2/2) * Update RuntimeError msg * Update RuntimeError msg - line too long * Trigger CI * Merge algos, globals.random to fix * Fixed `algorithms_globals` * Import /tests and run CI locally * Fix copyrights and some spellings * Ignore mypy in 8 instances * Merge spell dicts * Black reformatting * Black reformatting * Add reno * Lint sanitize * Pylint * Pylint * Pylint * Pylint * Fix relative imports in tutorials * Fix relative imports in tutorials * Remove algorithms from Jupyter magic methods * Temporarily disable "Run stable tutorials" tests * Change the docstrings with imports from qiskit_algorithms * Styling * Update qiskit_machine_learning/optimizers/gradient_descent.py Co-authored-by: Declan Millar <declan.millar@ibm.com> * Update qiskit_machine_learning/optimizers/optimizer_utils/learning_rate.py Co-authored-by: Declan Millar <declan.millar@ibm.com> * Add more tests for utils * Add more tests for optimizers: adam, bobyqa, gsls and imfil * Fix random seed for volatile optimizers * Fix random seed for volatile optimizers * Add more tests * Pylint dict * Activate scikit-quant-0.8.2 * Remove scikit-quant methods * Remove scikit-quant methods (2) * Edit the release notes and Qiskit version 1+ * Edit the release notes and Qiskit version 1+ * Add Qiskit 1.0 upgrade in reno * Add Qiskit 1.0 upgrade in reno * Add Qiskit 1.0 upgrade in reno * Apply line breaks * Restructure line breaks --------- Co-authored-by: FrancescaSchiav <FrancescaSchiav@users.noreply.github.com> Co-authored-by: M. Emre Sahin <40424147+OkuyanBoga@users.noreply.github.com> Co-authored-by: Declan Millar <declan.millar@ibm.com> * Revamp readme pt2 (#822) * Restructure README.md --------- Co-authored-by: Steve Wood <40241007+woodsp-ibm@users.noreply.github.com> * Added support for EstimatorV2 primitives * Update qiskit_machine_learning/neural_networks/estimator_qnn.py Co-authored-by: Edoardo Altamura <38359901+edoaltamura@users.noreply.github.com> * Update qiskit_machine_learning/neural_networks/estimator_qnn.py Co-authored-by: Edoardo Altamura <38359901+edoaltamura@users.noreply.github.com> * Update qiskit_machine_learning/neural_networks/estimator_qnn.py Co-authored-by: Edoardo Altamura <38359901+edoaltamura@users.noreply.github.com> * Update qiskit_machine_learning/neural_networks/estimator_qnn.py Co-authored-by: Edoardo Altamura <38359901+edoaltamura@users.noreply.github.com> * Update qiskit_machine_learning/gradients/param_shift/param_shift_estimator_gradient.py Co-authored-by: Edoardo Altamura <38359901+edoaltamura@users.noreply.github.com> * Update qiskit_machine_learning/gradients/spsa/spsa_estimator_gradient.py Co-authored-by: Edoardo Altamura <38359901+edoaltamura@users.noreply.github.com> * Update qiskit_machine_learning/gradients/param_shift/param_shift_estimator_gradient.py Co-authored-by: Edoardo Altamura <38359901+edoaltamura@users.noreply.github.com> * Update qiskit_machine_learning/neural_networks/estimator_qnn.py Co-authored-by: Edoardo Altamura <38359901+edoaltamura@users.noreply.github.com> * Update qiskit_machine_learning/neural_networks/estimator_qnn.py Co-authored-by: Edoardo Altamura <38359901+edoaltamura@users.noreply.github.com> * Update qiskit_machine_learning/gradients/param_shift/param_shift_estimator_gradient.py Co-authored-by: Edoardo Altamura <38359901+edoaltamura@users.noreply.github.com> * Fix lint errors due to Pylint 3.3.0 update in CI (#833) * disable=too-many-positional-arguments * Transfer pylint rc to toml * Transfer pylint rc to toml * Cleaner statements * Remove Python 3.8 from CI (#824) (#826) * Remove Python 3.8 in CI (#824) * Correct `tmp` dirs (#818) * Correct unit py version (#818) * Add reno (#818) * Finalze removal of py38 (#818) * Spelling * Remove duplicate tmp folder * Updated the release note * Bump min pyversion in toml * Remove ipython constraints * Update reno * Added unit tests for estimatorqnnV2 and minor fixes * Make black * Make lint and changes to V1/2 choice logics * Update requirements * Add default precision * Update estimator tests * Change num qubits in backend * Allow for num_qubits=None * Fix shape in parameter shift * Fix shape in parameter shift * Fix shape observables * Fix shape observables * Change default precision to match base estimator * Fix remaining shape issues * Estimator seed has no effect in local testing * fix argnames and supress error tolerance for test_estimator_qnn_v2 * Added pass manager the gradients. * quick bugfix for isa_circuits * Updating PUBs for estimatorqnn, updating test_estimator_qnn_v2 for ISA circs and relaxing tolerances * Lint and formatting * Tranpiling observables for isa g circs * fixing apply_layout --------- Co-authored-by: Edoardo Altamura <38359901+edoaltamura@users.noreply.github.com> Co-authored-by: FrancescaSchiav <FrancescaSchiav@users.noreply.github.com> Co-authored-by: Declan Millar <declan.millar@ibm.com> Co-authored-by: Steve Wood <40241007+woodsp-ibm@users.noreply.github.com> Co-authored-by: oscar-wallis <oscar.wallis@outlook.com> * Pulled changes from main * Quick fix * bugfix for V1 * formatting * Prep-ing for 0.8 (#53) * Migrating `qiskit_algorithms` (#817) * Update README.md * Generalize the Einstein summation signature * Add reno * Update Copyright * Rename and add test * Update Copyright * Add docstring for `test_get_einsum_signature` * Correct spelling * Disable spellcheck for comments * Add `docstring` in pylint dict * Delete example in docstring * Add Einstein in pylint dict * Add full use case in einsum dict * Spelling and type ignore * Spelling and type ignore * Spelling and type ignore * Spelling and type ignore * Spelling and type ignore * Remove for loop in einsum function and remove Literal arguments (1/2) * Remove for loop in einsum function and remove Literal arguments (1/2) * Remove for loop in einsum function and remove Literal arguments (2/2) * Update RuntimeError msg * Update RuntimeError msg - line too long * Trigger CI * Merge algos, globals.random to fix * Fixed `algorithms_globals` * Import /tests and run CI locally * Fix copyrights and some spellings * Ignore mypy in 8 instances * Merge spell dicts * Black reformatting * Black reformatting * Add reno * Lint sanitize * Pylint * Pylint * Pylint * Pylint * Fix relative imports in tutorials * Fix relative imports in tutorials * Remove algorithms from Jupyter magic methods * Temporarily disable "Run stable tutorials" tests * Change the docstrings with imports from qiskit_algorithms * Styling * Update qiskit_machine_learning/optimizers/gradient_descent.py Co-authored-by: Declan Millar <declan.millar@ibm.com> * Update qiskit_machine_learning/optimizers/optimizer_utils/learning_rate.py Co-authored-by: Declan Millar <declan.millar@ibm.com> * Add more tests for utils * Add more tests for optimizers: adam, bobyqa, gsls and imfil * Fix random seed for volatile optimizers * Fix random seed for volatile optimizers * Add more tests * Pylint dict * Activate scikit-quant-0.8.2 * Remove scikit-quant methods * Remove scikit-quant methods (2) * Edit the release notes and Qiskit version 1+ * Edit the release notes and Qiskit version 1+ * Add Qiskit 1.0 upgrade in reno * Add Qiskit 1.0 upgrade in reno * Add Qiskit 1.0 upgrade in reno * Apply line breaks * Restructure line breaks --------- Co-authored-by: FrancescaSchiav <FrancescaSchiav@users.noreply.github.com> Co-authored-by: M. Emre Sahin <40424147+OkuyanBoga@users.noreply.github.com> Co-authored-by: Declan Millar <declan.millar@ibm.com> * Revamp readme pt2 (#822) * Restructure README.md --------- Co-authored-by: Steve Wood <40241007+woodsp-ibm@users.noreply.github.com> * Fix lint errors due to Pylint 3.3.0 update in CI (#833) * disable=too-many-positional-arguments * Transfer pylint rc to toml * Transfer pylint rc to toml * Remove Python 3.8 from CI (#824) (#826) * Remove Python 3.8 in CI (#824) * Correct `tmp` dirs (#818) * Correct unit py version (#818) * Add reno (#818) * Finalze removal of py38 (#818) * Spelling * Remove duplicate tmp folder * Updated the release note * Bump min pyversion in toml * Remove ipython constraints * Update reno * Reestablish latest Pytorch and Numpy (#818) (#827) * Reestablish latest Pytorch and Numpy (#818) * Keep pinned Numpy * Keep pinned Numpy * Fix numpy min version * Fix RawFeatureVector for failing test case (#838) * Alter RawFeatureVector normalization * Alter RawFeatureVector normalization * Release nbconvert constraints (#842) * Remove redundant MacOS 14 image in CI (#841) * Remove redundant MacOS 14 image * Update with macos-latest-large * Revert "Update with macos-latest-large" This reverts commit 14f945e. * Update with macos-latest-large * Update v2 (#54) * bugfix for V1 * formatting --------- Co-authored-by: oscar-wallis <oscar.wallis@outlook.com> --------- Co-authored-by: Edoardo Altamura <38359901+edoaltamura@users.noreply.github.com> Co-authored-by: FrancescaSchiav <FrancescaSchiav@users.noreply.github.com> Co-authored-by: M. Emre Sahin <40424147+OkuyanBoga@users.noreply.github.com> Co-authored-by: Declan Millar <declan.millar@ibm.com> Co-authored-by: Steve Wood <40241007+woodsp-ibm@users.noreply.github.com> * Update test_qbayesian * Bugfixing the test_gradient * Fixing an Options error with sampler_gradient * Linting and formatting * Add reno * Fix dict typing definition * Fix mypy * Issue deprecation warnings * Update skip test message * Update deprecation warning for qbayesian.py * Update deprecation warning for qbayesian.py * Add headers in deprecation.py * Add headers in deprecation.py * Add headers in deprecation.py * Correct spelling * Add spelling `msg` --------- Co-authored-by: FrancescaSchiav <FrancescaSchiav@users.noreply.github.com> Co-authored-by: M. Emre Sahin <40424147+OkuyanBoga@users.noreply.github.com> Co-authored-by: Declan Millar <declan.millar@ibm.com> Co-authored-by: Steve Wood <40241007+woodsp-ibm@users.noreply.github.com> Co-authored-by: oscar-wallis <oscar.wallis@outlook.com> Co-authored-by: Emre <mustafaemresahin@outlook.com> Co-authored-by: Oscar <108736468+oscar-wallis@users.noreply.github.com>
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What should we add?
Revert changes in #816:
.github/workflows/main.yml: delete&& matrix.os != 'windows-latest'to restore mypy checks for Windows platform for PyTorch. This change depends on Certain .pyi files are not encoded as UTF-8 in Windows pytorch/pytorch#124897 being resolved.constraints.txt:numpy<2.0->numpy>=1.20.0restore original constraint on Numpy versionThe text was updated successfully, but these errors were encountered: