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Update pinned dependencies
1 parent 4a79609 commit 9149627

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.github/workflows/main.yml

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NODE_VERSION: 18
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# Note that the versions below must be updated in sync; we've automated
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# that with `update_pyodide_versions()` in our weekly cronjob.
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PYODIDE_VERSION: 0.26.3
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PYODIDE_VERSION: 0.26.4
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PYTHON_VERSION: 3.12.1
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EMSCRIPTEN_VERSION: 3.1.58
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steps:

hypothesis-python/RELEASE.rst

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RELEASE_TYPE: patch
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This patch updates our autoformatting tools, improving our code style without any API changes.

hypothesis-python/setup.py

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@@ -60,7 +60,7 @@ def local_file(name):
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"pytest": ["pytest>=4.6"],
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"dpcontracts": ["dpcontracts>=0.4"],
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"redis": ["redis>=3.0.0"],
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"crosshair": ["hypothesis-crosshair>=0.0.18", "crosshair-tool>=0.0.77"],
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"crosshair": ["hypothesis-crosshair>=0.0.18", "crosshair-tool>=0.0.78"],
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# zoneinfo is an odd one: every dependency is platform-conditional.
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"zoneinfo": [
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"tzdata>=2024.2 ; sys_platform == 'win32' or sys_platform == 'emscripten'",

hypothesis-python/src/hypothesis/__init__.py

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"HealthCheck",
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"Phase",
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"Verbosity",
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"__version__",
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"__version_info__",
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"assume",
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"currently_in_test_context",
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"event",
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"seed",
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"settings",
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"target",
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"__version__",
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"__version_info__",
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]
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run()

hypothesis-python/src/hypothesis/database.py

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__all__ = [
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"DirectoryBasedExampleDatabase",
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"ExampleDatabase",
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"GitHubArtifactDatabase",
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"InMemoryExampleDatabase",
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"MultiplexedDatabase",
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"ReadOnlyDatabase",
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"GitHubArtifactDatabase",
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]
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hypothesis-python/src/hypothesis/extra/_array_helpers.py

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__all__ = [
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"NDIM_MAX",
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"Shape",
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"BroadcastableShapes",
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"BasicIndex",
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"check_argument",
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"order_check",
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"check_valid_dims",
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"BasicIndexStrategy",
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"BroadcastableShapes",
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"MutuallyBroadcastableShapesStrategy",
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"Shape",
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"array_shapes",
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"valid_tuple_axes",
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"broadcastable_shapes",
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"check_argument",
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"check_valid_dims",
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"mutually_broadcastable_shapes",
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"MutuallyBroadcastableShapesStrategy",
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"BasicIndexStrategy",
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"order_check",
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"valid_tuple_axes",
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]
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hypothesis-python/src/hypothesis/extra/django/__init__.py

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"TestCase",
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"TransactionTestCase",
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"from_field",
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"from_form",
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"from_model",
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"register_field_strategy",
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"from_form",
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]

hypothesis-python/src/hypothesis/extra/numpy.py

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__all__ = [
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"BroadcastableShapes",
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"from_dtype",
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"arrays",
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"array_dtypes",
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"array_shapes",
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"scalar_dtypes",
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"arrays",
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"basic_indices",
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"boolean_dtypes",
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"unsigned_integer_dtypes",
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"integer_dtypes",
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"floating_dtypes",
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"broadcastable_shapes",
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"byte_string_dtypes",
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"complex_number_dtypes",
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"datetime64_dtypes",
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"floating_dtypes",
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"from_dtype",
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"integer_array_indices",
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"integer_dtypes",
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"mutually_broadcastable_shapes",
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"nested_dtypes",
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"scalar_dtypes",
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"timedelta64_dtypes",
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"byte_string_dtypes",
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"unicode_string_dtypes",
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"array_dtypes",
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"nested_dtypes",
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"unsigned_integer_dtypes",
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"valid_tuple_axes",
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"broadcastable_shapes",
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"mutually_broadcastable_shapes",
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"basic_indices",
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"integer_array_indices",
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]
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TIME_RESOLUTIONS = tuple("Y M D h m s ms us ns ps fs as".split())

hypothesis-python/src/hypothesis/extra/pandas/__init__.py

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series,
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)
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__all__ = ["indexes", "range_indexes", "series", "column", "columns", "data_frames"]
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__all__ = ["column", "columns", "data_frames", "indexes", "range_indexes", "series"]

hypothesis-python/src/hypothesis/internal/cache.py

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on_access and on_evict to implement a specific scoring strategy.
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"""
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__slots__ = ("max_size", "_threadlocal")
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__slots__ = ("_threadlocal", "max_size")
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def __init__(self, max_size):
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if max_size <= 0:

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