Fixed typo in numpy deprecated type alias rule documentation

[Flowake]

Summary

It is a very simple typo fix in the "numy deprecated type alias" documentation.

[charliermarsh]

Thanks!

[github-actions]

PR Check Results

Ecosystem

✅ ecosystem check detected no changes.

Benchmark

Linux

group                                      main                                    pr
-----                                      ----                                    --
formatter/large/dataset.py                 1.04      7.3±0.41ms     5.5 MB/sec     1.00      7.1±0.31ms     5.7 MB/sec
formatter/numpy/ctypeslib.py               1.03  1568.7±120.60µs    10.6 MB/sec    1.00  1523.7±91.30µs    10.9 MB/sec
formatter/numpy/globals.py                 1.00   156.5±13.60µs    18.9 MB/sec     1.00   156.4±36.01µs    18.9 MB/sec
formatter/pydantic/types.py                1.02      3.1±0.16ms     8.3 MB/sec     1.00      3.0±0.17ms     8.4 MB/sec
linter/all-rules/large/dataset.py          1.09     16.6±0.51ms     2.5 MB/sec     1.00     15.2±0.71ms     2.7 MB/sec
linter/all-rules/numpy/ctypeslib.py        1.09      4.0±0.12ms     4.2 MB/sec     1.00      3.7±0.16ms     4.5 MB/sec
linter/all-rules/numpy/globals.py          1.12   541.5±21.55µs     5.4 MB/sec     1.00   483.3±30.27µs     6.1 MB/sec
linter/all-rules/pydantic/types.py         1.09      7.3±0.20ms     3.5 MB/sec     1.00      6.7±0.47ms     3.8 MB/sec
linter/default-rules/large/dataset.py      1.09      8.2±0.26ms     5.0 MB/sec     1.00      7.5±0.42ms     5.4 MB/sec
linter/default-rules/numpy/ctypeslib.py    1.13  1827.6±58.82µs     9.1 MB/sec     1.00  1611.1±90.91µs    10.3 MB/sec
linter/default-rules/numpy/globals.py      1.14   220.1±13.25µs    13.4 MB/sec     1.00   193.4±17.86µs    15.3 MB/sec
linter/default-rules/pydantic/types.py     1.14      3.8±0.15ms     6.7 MB/sec     1.00      3.3±0.13ms     7.6 MB/sec

Windows

group                                      main                                   pr
-----                                      ----                                   --
formatter/large/dataset.py                 1.24     10.2±0.62ms     4.0 MB/sec    1.00      8.3±0.51ms     4.9 MB/sec
formatter/numpy/ctypeslib.py               1.12  1914.9±92.30µs     8.7 MB/sec    1.00  1709.9±78.03µs     9.7 MB/sec
formatter/numpy/globals.py                 1.03   198.6±10.39µs    14.9 MB/sec    1.00   192.3±21.89µs    15.3 MB/sec
formatter/pydantic/types.py                1.14      3.9±0.22ms     6.5 MB/sec    1.00      3.4±0.23ms     7.5 MB/sec
linter/all-rules/large/dataset.py          1.04     18.6±0.88ms     2.2 MB/sec    1.00     17.9±0.72ms     2.3 MB/sec
linter/all-rules/numpy/ctypeslib.py        1.02      4.7±0.24ms     3.5 MB/sec    1.00      4.6±0.30ms     3.6 MB/sec
linter/all-rules/numpy/globals.py          1.00   589.8±37.70µs     5.0 MB/sec    1.05   618.7±44.39µs     4.8 MB/sec
linter/all-rules/pydantic/types.py         1.01      8.0±0.43ms     3.2 MB/sec    1.00      8.0±0.37ms     3.2 MB/sec
linter/default-rules/large/dataset.py      1.05      9.9±0.49ms     4.1 MB/sec    1.00      9.5±0.53ms     4.3 MB/sec
linter/default-rules/numpy/ctypeslib.py    1.09      2.0±0.13ms     8.2 MB/sec    1.00  1870.6±106.82µs     8.9 MB/sec
linter/default-rules/numpy/globals.py      1.11   251.0±14.05µs    11.8 MB/sec    1.00   225.3±15.20µs    13.1 MB/sec
linter/default-rules/pydantic/types.py     1.17      4.5±0.28ms     5.7 MB/sec    1.00      3.8±0.16ms     6.6 MB/sec