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Use stdlib mimetypes instead of hardcoding them.#14218

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Merged
timhoffm merged 1 commit intomatplotlib:masterfromanntzer:mime
May 14, 2019

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anntzer
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The stdlib provides all necessary mimetypes (see _default_mime_types),
except for application/emf -- but we don't have an emf backend anymore.

This also makes the dict (relatively) easily extensible by the end user,
who could callmimetypes.init(...) themselves to add entries to the
mapping.

PR Summary

PR Checklist

  • Has Pytest style unit tests
  • Code isFlake 8 compliant
  • New features are documented, with examples if plot related
  • Documentation is sphinx and numpydoc compliant
  • Added an entry to doc/users/next_whats_new/ if major new feature (follow instructions in README.rst there)
  • Documented in doc/api/api_changes.rst if API changed in a backward-incompatible way

The stdlib provides all necessary mimetypes (see _default_mime_types),except for application/emf -- but we don't have an emf backend anymore.This also makes the dict (relatively) easily extensible by the end user,who could call `mimetypes.init(...)` themselves to add entries to themapping.
@tacaswelltacaswell added this to thev3.2.0 milestoneMay 14, 2019
self.set_header('Content-Type', mimetypes.get(fmt, 'binary'))

self.set_header(
'Content-Type', mimetypes.types_map.get(fmt, 'binary'))
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The fallback should beapplication/octet-stream, should it not?

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This PR leaves the old behavior, but I'd say that octet-stream is more correct, indeed.

@timhoffmtimhoffm merged commitcf2e889 intomatplotlib:masterMay 14, 2019
@anntzeranntzer deleted the mime branchMay 14, 2019 20:46
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@QuLogicQuLogicQuLogic left review comments

@tacaswelltacaswelltacaswell approved these changes

@timhoffmtimhoffmtimhoffm approved these changes

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