[pylint] Add named_expr_without_context (W0131)

[hoel-bagard]

This is part of #970.

[github-actions]

PR Check Results

Ecosystem

ℹ️ ecosystem check detected changes. (+0, -0, 1 error(s))

bokeh (error)

https://github.com/bokeh/bokeh ref branch-3.2 select ALL ignore exclude

error: TOML parse error at line 169, column 12
    |
169 | [tool.ruff.pyupgrade]
    |            ^^^^^^^^^
unknown field `pyupgrade`, expected one of `allowed-confusables`, `builtins`, `cache-dir`, `dummy-variable-rgx`, `exclude`, `extend`, `extend-exclude`, `extend-include`, `extend-ignore`, `extend-select`, `extend-fixable`, `extend-unfixable`, `external`, `fix`, `fix-only`, `fixable`, `format`, `force-exclude`, `ignore`, `ignore-init-module-imports`, `include`, `line-length`, `required-version`, `respect-gitignore`, `select`, `show-source`, `show-fixes`, `src`, `namespace-packages`, `target-version`, `task-tags`, `typing-modules`, `unfixable`, `flake8-annotations`, `flake8-bandit`, `flake8-bugbear`, `flake8-builtins`, `flake8-comprehensions`, `flake8-errmsg`, `flake8-quotes`, `flake8-self`, `flake8-tidy-imports`, `flake8-type-checking`, `flake8-gettext`, `flake8-implicit-str-concat`, `flake8-import-conventions`, `flake8-pytest-style`, `flake8-unused-arguments`, `isort`, `mccabe`, `pep8-naming`, `pycodestyle`, `pydocstyle`, `pylint`, `per-file-ignores`, `extend-per-file-ignores`

Benchmark

Linux

group                                      main                                   pr
-----                                      ----                                   --
linter/all-rules/large/dataset.py          1.00     14.2±0.29ms     2.9 MB/sec    1.00     14.2±0.09ms     2.9 MB/sec
linter/all-rules/numpy/ctypeslib.py        1.00      3.4±0.01ms     4.9 MB/sec    1.01      3.4±0.01ms     4.8 MB/sec
linter/all-rules/numpy/globals.py          1.00    422.7±0.73µs     7.0 MB/sec    1.00    424.2±1.16µs     7.0 MB/sec
linter/all-rules/pydantic/types.py         1.00      5.8±0.02ms     4.4 MB/sec    1.00      5.9±0.02ms     4.3 MB/sec
linter/default-rules/large/dataset.py      1.00      6.7±0.03ms     6.0 MB/sec    1.01      6.8±0.01ms     6.0 MB/sec
linter/default-rules/numpy/ctypeslib.py    1.00   1444.2±3.16µs    11.5 MB/sec    1.02   1468.2±1.62µs    11.3 MB/sec
linter/default-rules/numpy/globals.py      1.00    160.4±0.28µs    18.4 MB/sec    1.03    164.8±1.89µs    17.9 MB/sec
linter/default-rules/pydantic/types.py     1.00      3.0±0.02ms     8.5 MB/sec    1.02      3.1±0.00ms     8.4 MB/sec
parser/large/dataset.py                    1.00      5.4±0.00ms     7.5 MB/sec    1.00      5.4±0.01ms     7.5 MB/sec
parser/numpy/ctypeslib.py                  1.00   1063.0±1.34µs    15.7 MB/sec    1.00   1065.1±1.04µs    15.6 MB/sec
parser/numpy/globals.py                    1.01    109.9±0.55µs    26.8 MB/sec    1.00    109.4±0.26µs    27.0 MB/sec
parser/pydantic/types.py                   1.00      2.3±0.01ms    11.1 MB/sec    1.00      2.3±0.00ms    11.0 MB/sec

Windows

group                                      main                                   pr
-----                                      ----                                   --
linter/all-rules/large/dataset.py          1.00     20.2±0.33ms     2.0 MB/sec    1.06     21.4±0.54ms  1949.0 KB/sec
linter/all-rules/numpy/ctypeslib.py        1.00      5.1±0.12ms     3.3 MB/sec    1.07      5.5±0.19ms     3.1 MB/sec
linter/all-rules/numpy/globals.py          1.00   572.0±12.52µs     5.2 MB/sec    1.07   611.9±26.70µs     4.8 MB/sec
linter/all-rules/pydantic/types.py         1.00      8.4±0.19ms     3.0 MB/sec    1.06      8.9±0.34ms     2.9 MB/sec
linter/default-rules/large/dataset.py      1.00      9.7±0.20ms     4.2 MB/sec    1.06     10.3±0.36ms     4.0 MB/sec
linter/default-rules/numpy/ctypeslib.py    1.00      2.0±0.06ms     8.2 MB/sec    1.04      2.1±0.07ms     7.9 MB/sec
linter/default-rules/numpy/globals.py      1.00    225.7±8.93µs    13.1 MB/sec    1.06    238.3±8.26µs    12.4 MB/sec
linter/default-rules/pydantic/types.py     1.00      4.3±0.13ms     5.9 MB/sec    1.03      4.5±0.09ms     5.7 MB/sec
parser/large/dataset.py                    1.00      8.0±0.15ms     5.1 MB/sec    1.00      8.0±0.21ms     5.1 MB/sec
parser/numpy/ctypeslib.py                  1.00  1509.3±40.18µs    11.0 MB/sec    1.00  1509.7±26.55µs    11.0 MB/sec
parser/numpy/globals.py                    1.01    158.1±7.66µs    18.7 MB/sec    1.00    155.9±8.57µs    18.9 MB/sec
parser/pydantic/types.py                   1.00      3.3±0.07ms     7.6 MB/sec    1.01      3.4±0.07ms     7.5 MB/sec

[charliermarsh]

Thank you for including docs.