- 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).

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