- update to 6.75.3:
* This patch fixes ~hypothesis.strategies.complex_numbers accidentally
invalidating itself when passed magnitude arguments for 32
and 64-bit widths, i.e. 16- and 32-bit floats, due to not
internally down-casting numbers

- Update to 6.75.2:
* Improved the documentation regarding how to use
GitHubArtifactDatabase and fixed a bug that occurred in
repositories with no existing artifacts.
- 6.75.1
* hypothesis.errors will now raise AttributeError when attempting to
access an undefined attribute, rather than returning None.
- 6.75.0
* Sick of adding @example()s by hand? Our Pytest plugin now writes
.patch files to insert them for you, making this workflow easier
than ever before.
* Note that you’ll need LibCST (via hypothesis[codemods]), and that
@example().via() requires PEP 614 (Python 3.9 or later).
- 6.74.1
* This patch provides better error messages for datetime- and
timedelta-related invalid dtypes in our Pandas extra (issue
#3518).
- 6.74.0
* This release adds support for nullable pandas dtypes in pandas()
(issue #3604).
- 6.73.1
* This patch updates our minimum Numpy version to 1.16, and restores
compatibility with versions before 1.20, which were broken by a
mistake in Hypothesis 6.72.4 (issue #3625).