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| author | Christian Clauss <cclauss@me.com> | 2021-10-06 17:55:16 (GMT) |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2021-10-06 17:55:16 (GMT) |
| commit | 682aecfdeba481c876bfc9f3796c635bd5b5df50 (patch) | |
| tree | 51102e7170b805a9ae1916483ba04b2e0e7f4fe9 /Tools/c-analyzer/c_common | |
| parent | 0571b934f5f9198c3461a7b631d7073ac0a5676f (diff) | |
| download | cpython-682aecfdeba481c876bfc9f3796c635bd5b5df50.zip cpython-682aecfdeba481c876bfc9f3796c635bd5b5df50.tar.gz cpython-682aecfdeba481c876bfc9f3796c635bd5b5df50.tar.bz2 | |
Fix typos in the Tools directory (GH-28769)
Like #28744 but for the Tools directory.
[skip issue] Opening a related issue is pending python/psf-infra-meta#130
Automerge-Triggered-By: GH:pablogsal
Diffstat (limited to 'Tools/c-analyzer/c_common')
| -rw-r--r-- | Tools/c-analyzer/c_common/logging.py | 2 | ||||
| -rw-r--r-- | Tools/c-analyzer/c_common/strutil.py | 2 |
2 files changed, 2 insertions, 2 deletions
diff --git a/Tools/c-analyzer/c_common/logging.py b/Tools/c-analyzer/c_common/logging.py index 12398f7..10af852 100644 --- a/Tools/c-analyzer/c_common/logging.py +++ b/Tools/c-analyzer/c_common/logging.py @@ -41,7 +41,7 @@ def configure_logger(logger, verbosity=VERBOSITY, *, def hide_emit_errors(): """Ignore errors while emitting log entries. - Rather than printing a message desribing the error, we show nothing. + Rather than printing a message describing the error, we show nothing. """ # For now we simply ignore all exceptions. If we wanted to ignore # specific ones (e.g. BrokenPipeError) then we would need to use diff --git a/Tools/c-analyzer/c_common/strutil.py b/Tools/c-analyzer/c_common/strutil.py index e7535d4..07193c0 100644 --- a/Tools/c-analyzer/c_common/strutil.py +++ b/Tools/c-analyzer/c_common/strutil.py @@ -26,7 +26,7 @@ def parse_entries(entries, *, ignoresep=None): # We read the entire file here to ensure the file # gets closed sooner rather than later. Note that # the file would stay open if this iterator is never - # exchausted. + # exhausted. lines = infile.read().splitlines() for line in _iter_significant_lines(lines): yield line, filename |