requirements: update pandas requirement from <1.5.4 to <2.0.1 #2619
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This PR causes the following changes to the html docs (ubuntu-latest-3.7-x64): See CI logs for the full diff. |
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Updates the requirements on [pandas](https://github.com/pandas-dev/pandas) to permit the latest version. - [Release notes](https://github.com/pandas-dev/pandas/releases) - [Changelog](https://github.com/pandas-dev/pandas/blob/main/RELEASE.md) - [Commits](pandas-dev/pandas@0.3.0...v2.0.0) --- updated-dependencies: - dependency-name: pandas dependency-type: direct:production ... Signed-off-by: dependabot[bot] <[email protected]>
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This PR causes the following changes to the html docs (ubuntu-latest-3.7-x64): See CI logs for the full diff. |
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@dependabot squash and merge |
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* origin/devel: tests: remove asserts using zip loops where possible tests: replace all unaffected assert np.allclose with np.testing.assert_allclose tests: replace assert np.allclose with np.testing.assert_allclose where tolerance fails tests: test_gating_with_composition: fix allclose tests: test_log: fix allclose shape tests: test_rpy.py test_multilayer: fix allclose tests: test_reset_run_2darray: fix allclose tests: test_transfer_mech_array_var_normal_array_noise: fix allclose tests: test_single_array: fix allclose tests: test_connect_outer_composition_to_only_input_node_in_inner_comp_option2: fix allclose tests: test_AGTUtility_valid: fix allclose tests: test_target_dict_spec_single_trial_scalar_and_lists_rl: fix allclose tests: test_transfer_mech_func: fix allclose tests: test_input_specification_multiple_nested_compositions: fix allclose tests: test_input_not_provided_to_run: fix allclose tests: test_example_11: fix allclose tests: test_buffer_standalone: fix allclose tests: test_assign_value: fix allclose tests: TestRunInputSpecifications::test_2_mechanisms_input_5: fix allclose tests: test_integrator_multiple_input: fix allclose tests: tests_output_port_variable_spec_composition: fix allclose tests: test_output_ports: fix allclose tests: test_LCAMechanism_threshold: fix allclose tests: test_user_def_func_numpy: match 2d output to 2d input tests: test_linear_combination_function_in_mechanism: fix allclose tests: test_connect_compositions_with_simple_states: fix allclose tests: TestInputSpecifications test_run_2_mechanisms_reuse_input: fix allclose tests: TestRun test_run_2_mechanisms_reuse_input: fix allclose tests: TestRunInputSpecifications test_run_2_mechanisms_reuse_input: fix allclose tests: test_nested_transfer_mechanism_composition_parallel shape mismatch Fix test_ddm_mechanism TestInputPorts Fix test_reset_run_array Fix TestReduce Fix test_reset_state_integrator_mechanism Fix more execute tests. Fix more composition.run() tests. Fix test_four_level_nested_transfer_mechanism_composition_parallel Fix test_processing_mechanism_function tests: allclose changes Fix log tests tests: allclose changes Fix expected 3D outputs Fix test_run_no_inputs tests: allclose changes tests: allclose changes tests: allclose changes Fix expected results shape tests: test_nested_composition_run_trials_inputs: undo disable test parametrizations tests: allclose changes tests: test_documentation_models: reenable parametrizations github-actions: Add job running --benchmark-enable tests/AudodiffComposition: Add helper function to return the first set of learning results github-actions: Run all tests with --fp-precision=fp32 tests/Autodiff: Check for execution mode PyTorch in test_optimizer specs tests/control: FP32 should only be used in compiled tests tests/xor_training_identicalness: Convert to use autodiff_mode tests/MemoryFunction: Prefer np.testing.assert_equal to assert np.all(==) test/AutodiffComposition: Use np.testing.assert_equal instead of assert np.all(==) requirements: update beartype requirement from <0.13.0 to <0.14.0 (PrincetonUniversity#2625) requirements: update pytest requirement from <7.2.3 to <7.3.1 (PrincetonUniversity#2627) requirements: Drop grpcio-tools requirements: Add protobuf to dependency list {dev,tutorial}_requirements: Use sharp inequality for jupyter upper bound dev_requirements: Use sharp inequality of pytest-profiling upper bound requirements: Sort alphabetically requirements: Use sharp inequality for leabra-psyneulink upper bound requirements: Fix dill dependency upper bound requirements: Use sharp inequality for bear type upper bound Tentative learning branch (PrincetonUniversity#2623) tests/llvm/multiple_executions: Use np.testing.assert_allclose to check resutls (PrincetonUniversity#2621) requirements: update pandas requirement from <1.5.4 to <2.0.1 (PrincetonUniversity#2619) Add back rate validation in constructor. Add back validation I added for offset. Remove validation I added for offset. Add validate methods as kmantel suggests requirements: update pillow requirement from <9.5.0 to <9.6.0 (PrincetonUniversity#2618) Remove typecheck-decorator requirment. Fix some annotations. requirements: update networkx requirement from <3.1 to <3.2 (PrincetonUniversity#2620) Nback (PrincetonUniversity#2617) Fix/contentaddressablememory empty entry (PrincetonUniversity#2616) Fix some annotations on learning methods. Fix some issues with merge of composition. Fix type annotation on _get_port_value_labels Remove check_user_specified in places. Replace typecheck decorator with beartype Add typecheck decorator back temporarily llvm: Add human readable name to _node_wrapper instances llvm: Use WeakRefDictionary for node wrappers llvm/builder_context: Use proxy object for _node_wrapper owning composition remove redefinition of ENTROPY keyword Raise KeyError on MechanismList.__seitem__ fix some lgtm errors remove unused imports revert ci testing changes completely for now. Fix codestyle errors. Revert back to testing on Python 3.9. Fix specifcation of Python 3.10 in ci workflow Fixes for Python 3.7 Enable tests for python 3.10 in CI. Add beartype for runtime type checking. Replace typecheck import with beartype Removed all the tc.optional typecheck annotations replaced all typecheck enums with Literal Replace is_function_type with static type Replace is_pref_set with static type Replace parameter_spec with static type. Remove dead code in parameter_spec ran some regexes to replace easy type hints fix for some tests that expect runtime type checks Comment out all typecheck decorations.
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Updates the requirements on pandas to permit the latest version.
Release notes
Sourced from pandas's releases.
Commits
478d340RLS: 2.0.0f92ac09Backport PR #52370 on branch 2.0.x (DOC: Update final date for pandas 2.0 rel...5d69654Backport PR #52068 on branch 2.0.x (CoW: Switch to copy=False everywhere for ...9bf45dbBackport PR #52330 on branch 2.0.x (ENH: Implement .dt.year for ArrowExtensio...7c56e05Backport PR #51966 on branch 2.0.x (CoW: array not recognizing ea dtypes)...af8be1dBackport PR #52311 on branch 2.0.x (DOC: Clarify Timestamp(unit=) will not ne...39e0505Backport PR #52354 on branch 2.0.x (Fixed up formatting of docstring of DateO...c922324Backport PR #52332 on branch 2.0.x (Use date32 for pyarrow date) (#52350)055c4cdBackport PR #52340 on branch 2.0.x (CI: Bump Circle CI versions) (#52347)367a5a2Backport PR #52220 on branch 2.0.x (BUG: zero-pad shorter years in `Timestamp...You can trigger a rebase of this PR by commenting
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