[med-svn] [Git][python-team/packages/python-wordcloud][master] 5 commits: New upstream version 1.9.2+dfsg
Andreas Tille (@tille)
gitlab at salsa.debian.org
Mon Jul 10 10:09:30 BST 2023
Andreas Tille pushed to branch master at Debian Python Team / packages / python-wordcloud
Commits:
606d8dad by Andreas Tille at 2023-07-10T10:48:45+02:00
New upstream version 1.9.2+dfsg
- - - - -
df34e83d by Andreas Tille at 2023-07-10T10:48:45+02:00
routine-update: New upstream version
- - - - -
327b64d9 by Andreas Tille at 2023-07-10T10:48:45+02:00
Update upstream source from tag 'upstream/1.9.2+dfsg'
Update to upstream version '1.9.2+dfsg'
with Debian dir 0ff3fd356c756250b89e90f8f89b02bec2df6e2c
- - - - -
136716bd by Andreas Tille at 2023-07-10T10:57:56+02:00
Close bug
- - - - -
916b7763 by Andreas Tille at 2023-07-10T10:59:21+02:00
Upload to unstable
- - - - -
8 changed files:
- + CITATION.cff
- README.md
- debian/changelog
- requirements-dev.txt
- test/test_wordcloud.py
- wordcloud/_version.py
- wordcloud/color_from_image.py
- wordcloud/wordcloud.py
Changes:
=====================================
CITATION.cff
=====================================
@@ -0,0 +1,10 @@
+cff-version: 1.2.0
+authors:
+- family-names: "Mueller"
+ given-names: "Andreas C"
+ orcid: "https://orcid.org/0000-0002-2349-9428"
+
+title: "Wordcloud"
+version: 1.9.1
+date-released: 2023-4-27
+url: "https://github.com/amueller/wordcloud"
\ No newline at end of file
=====================================
README.md
=====================================
@@ -8,7 +8,7 @@ word_cloud
A little word cloud generator in Python. Read more about it on the [blog
post][blog-post] or the [website][website].
-The code is tested against Python 2.7, 3.4, 3.5, 3.6 and 3.7.
+The code is tested against Python 3.7, 3.8, 3.9, 3.10, 3.11.
## Installation
@@ -23,9 +23,7 @@ If you are using conda, you can install from the `conda-forge` channel:
#### Installation notes
-wordcloud depends on `numpy` and `pillow`.
-
-To save the wordcloud into a file, `matplotlib` can also be installed. See [examples](#examples) below.
+wordcloud depends on `numpy`, `pillow`, and `matplotlib`.
If there are no wheels available for your version of python, installing the
package requires having a C compiler set up. Before installing a compiler, report
=====================================
debian/changelog
=====================================
@@ -1,8 +1,10 @@
-python-wordcloud (1.8.2.2+dfsg-2) UNRELEASED; urgency=medium
+python-wordcloud (1.9.2+dfsg-1) unstable; urgency=medium
+ * New upstream version
+ Closes: #1040635
* Fix filename of download tarball
- -- Andreas Tille <tille at debian.org> Thu, 26 Jan 2023 15:42:04 +0100
+ -- Andreas Tille <tille at debian.org> Mon, 10 Jul 2023 10:58:08 +0200
python-wordcloud (1.8.2.2+dfsg-1) unstable; urgency=medium
=====================================
requirements-dev.txt
=====================================
@@ -1,10 +1,10 @@
codecov
coverage
-flake8==3.8.0
+flake8>=3.8.0
mock
-pytest<5.4.0
+pytest
pytest-cov
pytest-sugar
setuptools>=28.0.0
twine
-wheel==0.34.1
+wheel>=0.38.1
=====================================
test/test_wordcloud.py
=====================================
@@ -239,13 +239,13 @@ def test_mask():
# check that using an empty mask is equivalent to not using a mask
wc = WordCloud(random_state=42)
wc.generate(THIS)
- mask = np.zeros(np.array(wc).shape[:2], dtype=np.int)
+ mask = np.zeros(np.array(wc).shape[:2], dtype=int)
wc_mask = WordCloud(mask=mask, random_state=42)
wc_mask.generate(THIS)
assert_array_equal(wc, wc_mask)
# use actual nonzero mask
- mask = np.zeros((234, 456), dtype=np.int)
+ mask = np.zeros((234, 456), dtype=int)
mask[100:150, 300:400] = 255
wc = WordCloud(mask=mask)
@@ -259,7 +259,7 @@ def test_mask():
def test_mask_contour():
# test mask contour is created, learn more at:
# https://github.com/amueller/word_cloud/pull/348#issuecomment-370883873
- mask = np.zeros((234, 456), dtype=np.int)
+ mask = np.zeros((234, 456), dtype=int)
mask[100:150, 300:400] = 255
sm = WordCloud(mask=mask, contour_width=1, contour_color='blue')
@@ -491,7 +491,7 @@ def test_max_font_size_as_mask_height():
size = (default_size[0] * 2, default_size[1] * 2)
# using mask, all drawable
- mask = np.zeros(size, dtype=np.int)
+ mask = np.zeros(size, dtype=int)
mask[:, :] = 0
wc = WordCloud(mask=mask, random_state=42)
wc.generate(x)
=====================================
wordcloud/_version.py
=====================================
@@ -23,9 +23,9 @@ def get_keywords():
# setup.py/versioneer.py will grep for the variable names, so they must
# each be defined on a line of their own. _version.py will just call
# get_keywords().
- git_refnames = " (tag: 1.8.2.2, refs/pull/683/head, different_workflow)"
- git_full = "d8c6624e9547587d6c57d27c97fb7fea717455e7"
- git_date = "2022-06-23 17:03:26 -0700"
+ git_refnames = " (HEAD -> main, tag: 1.9.2)"
+ git_full = "f011a3146b6e1f279c0cb7a4f837781e12e30174"
+ git_date = "2023-05-18 10:21:01 -0700"
keywords = {"refnames": git_refnames, "full": git_full, "date": git_date}
return keywords
=====================================
wordcloud/color_from_image.py
=====================================
@@ -38,11 +38,11 @@ class ImageColorGenerator(object):
transposed_font = ImageFont.TransposedFont(font,
orientation=orientation)
# get size of resulting text
- box_size = transposed_font.getsize(word)
+ box_size = transposed_font.getbbox(word)
x = position[0]
y = position[1]
# cut out patch under word box
- patch = self.image[x:x + box_size[0], y:y + box_size[1]]
+ patch = self.image[x:x + box_size[2], y:y + box_size[3]]
if patch.ndim == 3:
# drop alpha channel if any
patch = patch[:, :, :3]
=====================================
wordcloud/wordcloud.py
=====================================
@@ -291,7 +291,7 @@ class WordCloud(object):
``words_`` is now a dictionary
``layout_`` : list of tuples ((string, float), int, (int, int), int, color))
- Encodes the fitted word cloud. For each word, it encodes the string,
+ Encodes the fitted word cloud. For each word, it encodes the string,
normalized frequency, font size, position, orientation, and color.
The frequencies are normalized by the most commonly occurring word.
The color is in the format of 'rgb(R, G, B).'
@@ -505,10 +505,10 @@ class WordCloud(object):
transposed_font = ImageFont.TransposedFont(
font, orientation=orientation)
# get size of resulting text
- box_size = draw.textsize(word, font=transposed_font)
+ box_size = draw.textbbox((0, 0), word, font=transposed_font, anchor="lt")
# find possible places using integral image:
- result = occupancy.sample_position(box_size[1] + self.margin,
- box_size[0] + self.margin,
+ result = occupancy.sample_position(box_size[3] + self.margin,
+ box_size[2] + self.margin,
random_state)
if result is not None or font_size < self.min_font_size:
# either we found a place or font-size went too small
View it on GitLab: https://salsa.debian.org/python-team/packages/python-wordcloud/-/compare/74013a3d22dc7c6d0f3b7a62459f5ec2eb0df2f8...916b77631b2462b243bcca2cb90c0f3e062993ff
--
View it on GitLab: https://salsa.debian.org/python-team/packages/python-wordcloud/-/compare/74013a3d22dc7c6d0f3b7a62459f5ec2eb0df2f8...916b77631b2462b243bcca2cb90c0f3e062993ff
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