Add in_boolean_test to Context

[JonathanPlasse]

Context.in_test is True when boolean operations are checked to see if it is truthy.
If boolean operations are inside other expressions that are not boolean operations, they are not in_test.

# in_test
assert  a or b
if a or b: pass
while a or b: pass
0 if a or b else 1
[0 for a in range(10) for b in range(10) if a or b]
{0 for a in range(10) for b in range(10) if a or b}
{0: 0 for a in range(10) for b in range(10) if a or b}
(0 for a in range(10) for b in range(10) if a or b)

# not in_test
a or b
if f(a or b): pass
while (a or b) == 1: pass

[github-actions]

PR Check Results

Ecosystem

✅ ecosystem check detected no changes.

Benchmark

Linux

group                                      main                                   pr
-----                                      ----                                   --
linter/all-rules/large/dataset.py          1.00     14.3±0.06ms     2.8 MB/sec    1.01     14.4±0.08ms     2.8 MB/sec
linter/all-rules/numpy/ctypeslib.py        1.00      3.6±0.00ms     4.7 MB/sec    1.01      3.6±0.01ms     4.6 MB/sec
linter/all-rules/numpy/globals.py          1.00    461.7±1.34µs     6.4 MB/sec    1.00    463.0±0.86µs     6.4 MB/sec
linter/all-rules/pydantic/types.py         1.00      6.0±0.01ms     4.2 MB/sec    1.01      6.1±0.01ms     4.2 MB/sec
linter/default-rules/large/dataset.py      1.00      7.3±0.03ms     5.6 MB/sec    1.01      7.4±0.02ms     5.5 MB/sec
linter/default-rules/numpy/ctypeslib.py    1.00   1630.4±3.49µs    10.2 MB/sec    1.01   1648.4±2.57µs    10.1 MB/sec
linter/default-rules/numpy/globals.py      1.00    180.4±0.45µs    16.4 MB/sec    1.01    181.6±0.76µs    16.2 MB/sec
linter/default-rules/pydantic/types.py     1.00      3.3±0.01ms     7.7 MB/sec    1.00      3.3±0.00ms     7.6 MB/sec
parser/large/dataset.py                    1.00      5.8±0.01ms     7.0 MB/sec    1.00      5.8±0.00ms     7.0 MB/sec
parser/numpy/ctypeslib.py                  1.00   1152.7±2.71µs    14.4 MB/sec    1.00   1155.8±1.47µs    14.4 MB/sec
parser/numpy/globals.py                    1.00    114.6±0.52µs    25.7 MB/sec    1.00    114.6±0.52µs    25.8 MB/sec
parser/pydantic/types.py                   1.00      2.5±0.00ms    10.1 MB/sec    1.00      2.5±0.01ms    10.1 MB/sec

Windows

group                                      main                                   pr
-----                                      ----                                   --
linter/all-rules/large/dataset.py          1.00     16.7±0.20ms     2.4 MB/sec    1.01     16.9±0.23ms     2.4 MB/sec
linter/all-rules/numpy/ctypeslib.py        1.00      4.4±0.07ms     3.8 MB/sec    1.01      4.4±0.06ms     3.8 MB/sec
linter/all-rules/numpy/globals.py          1.00    533.9±8.25µs     5.5 MB/sec    1.01    540.8±6.65µs     5.5 MB/sec
linter/all-rules/pydantic/types.py         1.00      7.1±0.08ms     3.6 MB/sec    1.01      7.2±0.07ms     3.5 MB/sec
linter/default-rules/large/dataset.py      1.00      8.5±0.08ms     4.8 MB/sec    1.02      8.7±0.04ms     4.7 MB/sec
linter/default-rules/numpy/ctypeslib.py    1.00  1889.5±38.69µs     8.8 MB/sec    1.01  1913.5±17.20µs     8.7 MB/sec
linter/default-rules/numpy/globals.py      1.00    216.4±6.51µs    13.6 MB/sec    1.01    217.5±5.29µs    13.6 MB/sec
linter/default-rules/pydantic/types.py     1.00      3.9±0.04ms     6.5 MB/sec    1.01      4.0±0.04ms     6.4 MB/sec
parser/large/dataset.py                    1.00      6.8±0.03ms     6.0 MB/sec    1.00      6.8±0.07ms     5.9 MB/sec
parser/numpy/ctypeslib.py                  1.00  1301.2±18.66µs    12.8 MB/sec    1.00  1298.6±12.17µs    12.8 MB/sec
parser/numpy/globals.py                    1.00    131.1±2.03µs    22.5 MB/sec    1.00    131.1±2.68µs    22.5 MB/sec
parser/pydantic/types.py                   1.00      2.9±0.02ms     8.7 MB/sec    1.00      2.9±0.03ms     8.7 MB/sec