def test_github_repo(tmp_pathplus, image_regression: ImageRegressionFixture):
w = Wordle(random_state=5678)
w.generate_from_git(
"https://github.com/domdfcoding/domdf_python_tools",
outfile=tmp_pathplus / "git_wordcloud.svg",
sha="de815f593718e16c031bc70e9c24b5635c3144dc",
)
export_wordcloud(w, outfile=tmp_pathplus / "git_wordcloud.png")
image_regression.check((tmp_pathplus / "git_wordcloud.png").read_bytes(),
diff_threshold=3.5)
# The results should be different for a different commit
w.generate_from_git(
"https://github.com/domdfcoding/domdf_python_tools",
outfile=tmp_pathplus / "git_wordcloud.svg",
sha="c30106567a27a17a5bd1339409ca22b6d425a25f",
)
export_wordcloud(w, outfile=tmp_pathplus / "git_wordcloud.png")
with pytest.raises(AssertionError,
match="Difference between images too high"):
image_regression.check(
(tmp_pathplus / "git_wordcloud.png").read_bytes(),
diff_threshold=3.5)
def test_github_repo_exclude_words(tmp_pathplus,
image_regression: ImageRegressionFixture):
w = Wordle(random_state=5678)
w.generate_from_git("https://github.com/domdfcoding/domdf_python_tools",
outfile=tmp_pathplus / "git_wordcloud.svg",
sha="de815f593718e16c031bc70e9c24b5635c3144dc",
exclude_words=["assert", "def", "self"])
export_wordcloud(w, outfile=tmp_pathplus / "git_wordcloud.png")
image_regression.check((tmp_pathplus / "git_wordcloud.png").read_bytes(),
diff_threshold=3.5)
def test_c_source_file(
tmp_pathplus,
image_regression: ImageRegressionFixture,
counter_regression: CounterRegressionFixture,
):
w = Wordle(random_state=5678)
src_file = examples_dir / "example.c"
outfile = tmp_pathplus / "c_wordcloud.png"
w.generate_from_file(src_file, outfile=tmp_pathplus / "c_wordcloud.svg")
export_wordcloud(w, outfile=outfile)
image_regression.check(outfile.read_bytes())
counter_regression.check(frequency_from_file(src_file))
def test_python_source_file(
tmp_pathplus,
image_regression: ImageRegressionFixture,
counter_regression: CounterRegressionFixture,
):
w = Wordle(random_state=5678)
outfile = tmp_pathplus / "python_wordcloud.png"
source_url = RequestsURL(
"https://raw.githubusercontent.com/domdfcoding/wordle")
source_url = source_url / "76797ba8b641b38fe1bed0801f0af248b793b59e/wordle/__init__.py"
(tmp_pathplus / "source.py").write_bytes(source_url.get().content)
w.generate_from_file(tmp_pathplus / "source.py",
outfile=tmp_pathplus / "python_wordcloud.svg")
export_wordcloud(w, outfile=outfile)
image_regression.check(outfile.read_bytes())
counter_regression.check(frequency_from_file(tmp_pathplus / "source.py"))
"""
Create a wordcloud from a single Python source file
"""
# stdlib
import pathlib
# this package
from wordle import Wordle, export_wordcloud
filename = pathlib.Path('.').absolute().parent / "wordle/__init__.py"
w = Wordle(random_state=5678)
w.generate_from_file(filename, outfile="python_wordcloud.svg")
export_wordcloud(w, outfile="python_wordcloud.png")
"""
Create a wordcloud from a single C source file
"""
# this package
from wordle import Wordle, export_wordcloud
w = Wordle(random_state=5678)
w.generate_from_file("example.c", outfile="c_wordcloud.svg")
export_wordcloud(w, outfile="c_wordcloud.png")
"""
Create a wordcloud from the Folium git repository.
https://github.com/python-visualization/folium
"""
# this package
from wordle import Wordle, export_wordcloud
w = Wordle(random_state=5678)
w.generate_from_git("https://github.com/python-visualization/folium",
outfile="folium_wordcloud.svg")
export_wordcloud(w, outfile="folium_wordcloud.png")