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author | Min ho Kim <minho42@gmail.com> | 2019-07-30 22:16:13 (GMT) |
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committer | Terry Jan Reedy <tjreedy@udel.edu> | 2019-07-30 22:16:13 (GMT) |
commit | c4cacc8c5eab50db8da3140353596f38a01115ca (patch) | |
tree | 9198db7e2525d0f113823faee4b6d4ac7136a633 /Doc | |
parent | 0acb646b8e405864224bfd6d7d5089980dea63ac (diff) | |
download | cpython-c4cacc8c5eab50db8da3140353596f38a01115ca.zip cpython-c4cacc8c5eab50db8da3140353596f38a01115ca.tar.gz cpython-c4cacc8c5eab50db8da3140353596f38a01115ca.tar.bz2 |
Fix typos in comments, docs and test names (#15018)
* Fix typos in comments, docs and test names
* Update test_pyparse.py
account for change in string length
* Apply suggestion: splitable -> splittable
Co-Authored-By: Terry Jan Reedy <tjreedy@udel.edu>
* Apply suggestion: splitable -> splittable
Co-Authored-By: Terry Jan Reedy <tjreedy@udel.edu>
* Apply suggestion: Dealloccte -> Deallocate
Co-Authored-By: Terry Jan Reedy <tjreedy@udel.edu>
* Update posixmodule checksum.
* Reverse idlelib changes.
Diffstat (limited to 'Doc')
-rw-r--r-- | Doc/library/email.encoders.rst | 2 | ||||
-rw-r--r-- | Doc/library/statistics.rst | 2 |
2 files changed, 2 insertions, 2 deletions
diff --git a/Doc/library/email.encoders.rst b/Doc/library/email.encoders.rst index e4752a5..5d68b10 100644 --- a/Doc/library/email.encoders.rst +++ b/Doc/library/email.encoders.rst @@ -15,7 +15,7 @@ the :meth:`~email.message.EmailMessage.set_content` method. This module is deprecated in Python 3. The functions provided here should not be called explicitly since the :class:`~email.mime.text.MIMEText` class sets the content type and CTE header using the *_subtype* and *_charset* -values passed during the instaniation of that class. +values passed during the instantiation of that class. The remaining text in this section is the original documentation of the module. diff --git a/Doc/library/statistics.rst b/Doc/library/statistics.rst index a906a59..3a2a1f9 100644 --- a/Doc/library/statistics.rst +++ b/Doc/library/statistics.rst @@ -554,7 +554,7 @@ However, for reading convenience, most of the examples show sorted sequences. >>> [round(q, 1) for q in quantiles(data, n=10)] [81.0, 86.2, 89.0, 99.4, 102.5, 103.6, 106.0, 109.8, 111.0] - >>> # Quartile cut points for the standard normal distibution + >>> # Quartile cut points for the standard normal distribution >>> Z = NormalDist() >>> [round(q, 4) for q in quantiles(Z, n=4)] [-0.6745, 0.0, 0.6745] |