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Bump lxml from 4.6.3 to 4.9.1 #48

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@dependabot dependabot bot commented on behalf of github Jul 6, 2022

Bumps lxml from 4.6.3 to 4.9.1.

Changelog

Sourced from lxml's changelog.

4.9.1 (2022-07-01)

Bugs fixed

  • A crash was resolved when using iterwalk() (or canonicalize()) after parsing certain incorrect input. Note that iterwalk() can crash on valid input parsed with the same parser after failing to parse the incorrect input.

4.9.0 (2022-06-01)

Bugs fixed

  • GH#341: The mixin inheritance order in lxml.html was corrected. Patch by xmo-odoo.

Other changes

  • Built with Cython 0.29.30 to adapt to changes in Python 3.11 and 3.12.

  • Wheels include zlib 1.2.12, libxml2 2.9.14 and libxslt 1.1.35 (libxml2 2.9.12+ and libxslt 1.1.34 on Windows).

  • GH#343: Windows-AArch64 build support in Visual Studio. Patch by Steve Dower.

4.8.0 (2022-02-17)

Features added

  • GH#337: Path-like objects are now supported throughout the API instead of just strings. Patch by Henning Janssen.

  • The ElementMaker now supports QName values as tags, which always override the default namespace of the factory.

Bugs fixed

  • GH#338: In lxml.objectify, the XSI float annotation "nan" and "inf" were spelled in lower case, whereas XML Schema datatypes define them as "NaN" and "INF" respectively.

... (truncated)

Commits
  • d01872c Prevent parse failure in new test from leaking into later test runs.
  • d65e632 Prepare release of lxml 4.9.1.
  • 86368e9 Fix a crash when incorrect parser input occurs together with usages of iterwa...
  • 50c2764 Delete unused Travis CI config and reference in docs (GH-345)
  • 8f0bf2d Try to speed up the musllinux AArch64 build by splitting the different CPytho...
  • b9f7074 Remove debug print from test.
  • b224e0f Try to install 'xz' in wheel builds, if available, since it's now needed to e...
  • 897ebfa Update macOS deployment target version from 10.14 to 10.15 since 10.14 starts...
  • 853c9e9 Prepare release of 4.9.0.
  • d3f77e6 Add a test for https://bugs.launchpad.net/lxml/+bug/1965070 leaving out the a...
  • Additional commits viewable in compare view

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Bumps [lxml](https://github.com/lxml/lxml) from 4.6.3 to 4.9.1.
- [Release notes](https://github.com/lxml/lxml/releases)
- [Changelog](https://github.com/lxml/lxml/blob/master/CHANGES.txt)
- [Commits](lxml/lxml@lxml-4.6.3...lxml-4.9.1)

---
updated-dependencies:
- dependency-name: lxml
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot bot added dependencies Pull requests that update a dependency file python Pull requests that update Python code labels Jul 6, 2022
@dependabot dependabot bot force-pushed the dependabot/pip/lxml-4.9.1 branch from 699c282 to 10325a9 Compare July 6, 2022 21:00
@dependabot dependabot bot mentioned this pull request Jul 6, 2022
@pull-request-quantifier-deprecated

This PR has 2 quantified lines of changes. In general, a change size of upto 200 lines is ideal for the best PR experience!


Quantification details

Label      : Extra Small
Size       : +1 -1
Percentile : 0.8%

Total files changed: 1

Change summary by file extension:
.txt : +1 -1

Change counts above are quantified counts, based on the PullRequestQuantifier customizations.

Why proper sizing of changes matters

Optimal pull request sizes drive a better predictable PR flow as they strike a
balance between between PR complexity and PR review overhead. PRs within the
optimal size (typical small, or medium sized PRs) mean:

  • Fast and predictable releases to production:
    • Optimal size changes are more likely to be reviewed faster with fewer
      iterations.
    • Similarity in low PR complexity drives similar review times.
  • Review quality is likely higher as complexity is lower:
    • Bugs are more likely to be detected.
    • Code inconsistencies are more likely to be detetcted.
  • Knowledge sharing is improved within the participants:
    • Small portions can be assimilated better.
  • Better engineering practices are exercised:
    • Solving big problems by dividing them in well contained, smaller problems.
    • Exercising separation of concerns within the code changes.

What can I do to optimize my changes

  • Use the PullRequestQuantifier to quantify your PR accurately
    • Create a context profile for your repo using the context generator
    • Exclude files that are not necessary to be reviewed or do not increase the review complexity. Example: Autogenerated code, docs, project IDE setting files, binaries, etc. Check out the Excluded section from your prquantifier.yaml context profile.
    • Understand your typical change complexity, drive towards the desired complexity by adjusting the label mapping in your prquantifier.yaml context profile.
    • Only use the labels that matter to you, see context specification to customize your prquantifier.yaml context profile.
  • Change your engineering behaviors
    • For PRs that fall outside of the desired spectrum, review the details and check if:
      • Your PR could be split in smaller, self-contained PRs instead
      • Your PR only solves one particular issue. (For example, don't refactor and code new features in the same PR).

How to interpret the change counts in git diff output

  • One line was added: +1 -0
  • One line was deleted: +0 -1
  • One line was modified: +1 -1 (git diff doesn't know about modified, it will
    interpret that line like one addition plus one deletion)
  • Change percentiles: Change characteristics (addition, deletion, modification)
    of this PR in relation to all other PRs within the repository.


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