Sourced from hypothesis's releases.

Hypothesis for Python - version 6.31.4

This patch makes the ".example()" method more representative of test- time data generation, albeit often at a substantial cost to readability (issue #3182).

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

Hypothesis for Python - version 6.31.3

This patch improves annotations on some of Hypothesis' internal functions, in order to deobfuscate the signatures of some strategies. In particular, strategies shared between hypothesis.extra.numpy and the hypothesis.extra.array_api extra will benefit from this patch.

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

Hypothesis for Python - version 6.31.2

This patch fix invariants display in stateful falsifying examples (issue #3185).

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

Hypothesis for Python - version 6.31.1

This patch updates "xps.indices()" so no flat indices are generated, i.e. generated indices will now always explicitly cover each axes of an array if no ellipsis is present. This is to be consistent with a specification change that dropped support for flat indexing (#272).

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

Hypothesis for Python - version 6.31.0

This release makes us compatible with Django 4.0, in particular by adding support for use of "zoneinfo" timezones (though we respect the new "USE_DEPRECATED_PYTZ" setting if you need it).

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

Hypothesis for Python - version 6.30.1

This patch updates our vendored list of top-level domains, which is used by the provisional "domains()" strategy.

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

Hypothesis for Python - version 6.30.0

This release adds an "allow_subnormal" argument to the "floats()" strategy, which can explicitly toggle the generation of subnormal floats (issue #3155). Disabling such generation is useful when testing flush-to-zero builds of libraries.

"nps.from_dtype()" and "xps.from_dtype()" can also accept the "allow_subnormal" argument, and "xps.from_dtype()" or "xps.arrays()"

... (truncated)

• c630d92 Bump hypothesis-python version to 6.31.4 and update changelog
• e1305ad Merge pull request #3189 from Zac-HD/representative-examples
• 6173b2a Bump hypothesis-python version to 6.31.3 and update changelog
• 8bcb914 Merge pull request #3179 from HypothesisWorks/proxies
• 0f5768c add annotations to @​proxies
• d79427b Bump hypothesis-python version to 6.31.2 and update changelog
• 5d79bc0 Merge pull request #3186 from touilleMan/issue-3185
• ecced4c Don't print_blob here
• e0d182c Inline invariant printing
• af25acd Bump hypothesis-python version to 6.31.1 and update changelog
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