Render tabs as 4 spaces in diagnostics

[MichaReiser]

Fixes #4018

This PR replaces tabs in the source code with 4 spaces for a terminal-independent rendering of Diagnostics.

Ideally, we would respect the users tab settings but that requires replacing annotated_snipped with our own implementation (similar to Rome) which requires more effort. For now, the goal is to fix the misalignment.

[MichaReiser]

Current dependencies on/for this PR:

• main
  • PR Render tabs as 4 spaces in diagnostics #4132 👈
    • PR Use non-empty ranges for logical-lines diagnostics #4133

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[MichaReiser]

Previously, tabs were counted as two characters but rendered as multiple ones. That's why the caret was off.

[github-actions]

PR Check Results

Ecosystem

✅ ecosystem check detected no changes.

Benchmark

Linux

group                                      main                                   pr
-----                                      ----                                   --
linter/all-rules/large/dataset.py          1.00     13.7±0.02ms     3.0 MB/sec    1.00     13.8±0.02ms     3.0 MB/sec
linter/all-rules/numpy/ctypeslib.py        1.00      3.3±0.02ms     5.0 MB/sec    1.00      3.3±0.00ms     5.0 MB/sec
linter/all-rules/numpy/globals.py          1.00    415.5±0.71µs     7.1 MB/sec    1.00    415.4±1.05µs     7.1 MB/sec
linter/all-rules/pydantic/types.py         1.00      5.8±0.01ms     4.4 MB/sec    1.00      5.8±0.01ms     4.4 MB/sec
linter/default-rules/large/dataset.py      1.00      6.8±0.02ms     6.0 MB/sec    1.00      6.9±0.01ms     5.9 MB/sec
linter/default-rules/numpy/ctypeslib.py    1.00   1477.9±1.07µs    11.3 MB/sec    1.00   1485.1±4.64µs    11.2 MB/sec
linter/default-rules/numpy/globals.py      1.00    166.2±0.21µs    17.8 MB/sec    1.00    166.8±0.43µs    17.7 MB/sec
linter/default-rules/pydantic/types.py     1.00      3.1±0.00ms     8.3 MB/sec    1.00      3.1±0.02ms     8.3 MB/sec
parser/large/dataset.py                    1.00      5.4±0.01ms     7.5 MB/sec    1.01      5.5±0.00ms     7.4 MB/sec
parser/numpy/ctypeslib.py                  1.00   1055.9±1.38µs    15.8 MB/sec    1.01   1067.1±2.44µs    15.6 MB/sec
parser/numpy/globals.py                    1.00    107.6±0.32µs    27.4 MB/sec    1.01    108.3±0.41µs    27.3 MB/sec
parser/pydantic/types.py                   1.00      2.3±0.01ms    11.1 MB/sec    1.01      2.3±0.00ms    11.0 MB/sec

Windows

group                                      main                                   pr
-----                                      ----                                   --
linter/all-rules/large/dataset.py          1.00     16.8±0.15ms     2.4 MB/sec    1.02     17.0±0.22ms     2.4 MB/sec
linter/all-rules/numpy/ctypeslib.py        1.00      4.3±0.04ms     3.9 MB/sec    1.00      4.3±0.03ms     3.9 MB/sec
linter/all-rules/numpy/globals.py          1.00    435.9±4.45µs     6.8 MB/sec    1.00    435.1±4.26µs     6.8 MB/sec
linter/all-rules/pydantic/types.py         1.00      7.1±0.07ms     3.6 MB/sec    1.00      7.1±0.03ms     3.6 MB/sec
linter/default-rules/large/dataset.py      1.00      8.6±0.04ms     4.7 MB/sec    1.01      8.7±0.04ms     4.7 MB/sec
linter/default-rules/numpy/ctypeslib.py    1.00  1807.6±24.90µs     9.2 MB/sec    1.02  1841.3±10.99µs     9.0 MB/sec
linter/default-rules/numpy/globals.py      1.00    191.1±1.43µs    15.4 MB/sec    1.03    197.0±5.26µs    15.0 MB/sec
linter/default-rules/pydantic/types.py     1.00      3.8±0.03ms     6.7 MB/sec    1.02      3.9±0.04ms     6.5 MB/sec
parser/large/dataset.py                    1.00      6.8±0.03ms     6.0 MB/sec    1.00      6.8±0.07ms     6.0 MB/sec
parser/numpy/ctypeslib.py                  1.00  1296.4±10.11µs    12.8 MB/sec    1.00  1291.3±10.25µs    12.9 MB/sec
parser/numpy/globals.py                    1.00    134.8±1.06µs    21.9 MB/sec    1.00    134.6±1.53µs    21.9 MB/sec
parser/pydantic/types.py                   1.00      2.9±0.03ms     8.8 MB/sec    1.00      2.9±0.02ms     8.9 MB/sec