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@djhoese djhoese commented Jun 26, 2024

While reading through the docs I noticed that the code examples for the CachingFileManager were all one block of text and not respecting the newlines in the source. This PR changes : to :: to tell restruturedtext/sphinx that the code blocks are literal blocks and not new paragraphs. Alternatively I could do .. code-block:: python, but I feel like that hurts readability of the source, but it may be needed if sphinx doesn't format the literal block as python code (syntax highlighting).

There may be other parts of the API docs like this, but this was the first one I saw and I didn't look very hard otherwise.

  • Closes #xxxx
  • Tests added
  • User visible changes (including notable bug fixes) are documented in whats-new.rst
  • New functions/methods are listed in api.rst

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max-sixty commented Jun 26, 2024

Thanks @djhoese !

(We seem to have some bad errors as numpy upgraded, but nothing to do with this change, so will merge...)

@max-sixty max-sixty merged commit 19d0fbf into pydata:main Jun 26, 2024
@djhoese djhoese deleted the doc-cfm-code-formatting branch June 26, 2024 18:14
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djhoese commented Jun 26, 2024

Thanks! Good luck with the numpy 2 fixes. I'm doing something similar on my own projects.

dcherian added a commit to dcherian/xarray that referenced this pull request Jun 28, 2024
* main:
  promote floating-point numeric datetimes to 64-bit before decoding (pydata#9182)
  also pin `numpy` in the all-but-dask CI (pydata#9184)
  temporarily remove `pydap` from CI (pydata#9183)
  temporarily pin `numpy<2` (pydata#9181)
  Change np.core.defchararray to np.char (pydata#9165) (pydata#9166)
  Fix example code formatting for CachingFileManager (pydata#9178)
  Slightly improve DataTree repr (pydata#9064)
  switch to unit `"D"` (pydata#9170)
  Docs: Add page with figure for navigating help resources (pydata#9147)
  Add test for pydata#9155 (pydata#9161)
  Remove mypy exclusions for a couple more libraries (pydata#9160)
  Include numbagg in type checks (pydata#9159)
  Improve zarr chunks docs (pydata#9140)
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2 participants