Sourced from hypothesis's releases.

Hypothesis for Python - version 6.145.0

Hypothesis previously required attrs as a dependency. This release removes that dependency, so that the only required dependency of Hypothesis is sortedcontainers.

All attrs-specific features of Hypothesis, such as using "from_type()" with attrs classes, will continue to behave as before.

The canonical version of these notes (with links) is on readthedocs.

Hypothesis for Python - version 6.144.1

Tweak how Hypothesis hides internal tracebacks to fix an error under rare conditions (issue #3822).

The canonical version of these notes (with links) is on readthedocs.

Hypothesis for Python - version 6.144.0

This release adds support for "Fraction" objects as "min_value" and "max_value" bounds in "decimals()", if they can be exactly represented as decimals in the target precision (issue #4466).

Bounding "decimals()" with other values that cannot be exactly represented is now deprecated; previously the bounds could be off by one.

The canonical version of these notes (with links) is on readthedocs.

Hypothesis for Python - version 6.143.1

"from_type()" now correctly handles annotated-types annotations on "typing.TypedDict" fields which are also marked as being "ReadOnly", "Required", or "NotRequired" (issue #4474).

The canonical version of these notes (with links) is on readthedocs.

Hypothesis for Python - version 6.143.0

The extras for NumPy and pandas now support automatically inferring a strategy for "dtype="O"". Previously, Hypothesis required an explicit elements strategy to be passed, for example "nps.arrays("O", shape=(1,), elements=st.just(object()))". Now, Hypothesis automatically infers "elements=st.from_type(object)".

Thanks to Shaun Read for identifying and fixing this!

The canonical version of these notes (with links) is on readthedocs.

Hypothesis for Python - version 6.142.5

This patch fixes "binary_operation()" to include imports for "hypothesis.extra.numpy" strategies such as "arrays()", "scalar_dtypes()", and "array_shapes()" when ghostwriting tests for functions with numpy array parameters (issue #4576).

... (truncated)

• 2fd514e Bump hypothesis-python version to 6.145.0 and update changelog
• 0ae50c5 Merge pull request #4577 from Liam-DeVoe/drop-attrs
• 7add9a1 simpler linter
• 6d17545 Merge branch 'drop-attrs' of github.com:Liam-DeVoe/hypothesis into drop-attrs
• fab0e86 more explicit frozen= params
• 4998d58 add frozen=False to column
• de00f15 no slots on HypothesisHandle
• bd3c39d add lint test for @​dataclass
• 84732ce refactor tool functions to return paths
• ff16289 pass frozen and slots explicitly to all dataclasses
• Additional commits viewable in compare view

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