def test_all_module_summary(self):
fLOG(__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
mod = ensae_fullset()
mod.sort()
df = pandas.DataFrame(_.as_dict(rst_link=True) for _ in mod)
df = df[[
"usage", "rst_link", "kind", "version", "installed", "license",
"purpose", "classifier"
]]
df.columns = [
"usage", "name", "kind", "version", "installed", "license",
"purpose", "classifier"
]
lic = df[~df.license.isnull()]
# fLOG(lic[["name","license"]])
fLOG("license", lic.shape)
nolic = df[df.license.isnull()]
fLOG("no license", nolic.shape)
fLOG(nolic[["name", "license"]])
assert lic.shape[0] > 0
rst = df2rst(df)
# fLOG(rst)
assert len(rst) > 1000
def test_all_module_summary(self):
fLOG(
__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
mod = ensae_fullset()
mod.sort()
df = pandas.DataFrame(_.as_dict(rst_link=True) for _ in mod)
df = df[["usage", "rst_link", "kind", "version", "installed",
"license", "purpose", "classifier"]]
df.columns = ["usage", "name", "kind", "version", "installed",
"license", "purpose", "classifier"]
lic = df[~df.license.isnull()]
# fLOG(lic[["name","license"]])
fLOG("license", lic.shape)
nolic = df[df.license.isnull()]
fLOG("no license", nolic.shape)
fLOG(nolic[["name", "license"]])
assert lic.shape[0] > 0
rst = df2rst(df)
# fLOG(rst)
assert len(rst) > 1000
def test_ensae_fullset(self):
fLOG(
__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
nb = self.walk_text(ensae_fullset())
fLOG(self._testMethodName, nb)
def test_all_pipy_version(self):
fLOG(__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
if sys.version_info[0] == 2:
return
mods = ensae_fullset()
self._pipy_version(mods)
def test_all_pipy_version(self):
fLOG(
__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
if sys.version_info[0] == 2:
return
mods = ensae_fullset()
self._pipy_version(mods)
def test_diff2(self):
fLOG(
__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
res = ensae_fullset()
count = {}
for mod in res:
count[mod.name] = 1
assert "pyquickhelper" in count
assert "code_beatrix" in count
def test_pipy_version(self):
fLOG(
__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
if sys.version_info[0] == 2:
return
subset = {"cubehelix", "dataspyre", "ete3", "heapdict", "libpython", "natgrid", "onedrive-sdk-python",
"orange3", "orange3-associate", "orange3-network", "orange3-text",
"py-earth", "pyexecjs", "pymc3", "pyreact", "pythonqwt", "qtpy", "xgboost"}
mods = ensae_fullset()
mods = [_ for _ in mods if _.name in subset]
self._pipy_version(mods, nbmax=8)
def test_batch(self):
fLOG(
__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
temp = get_temp_folder(__file__, "temp_batch")
list_modules = ensae_fullset()
folders = dict(tools=temp, config=temp)
op = create_win_batches(
folders, selection={"r", "julia"}, fLOG=fLOG, module_list=list_modules)
for _ in op:
fLOG(_)
assert len(op) > 0
for a, b in op:
assert os.path.exists(b)
def test_batch(self):
fLOG(__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
temp = get_temp_folder(__file__, "temp_batch")
list_modules = ensae_fullset()
folders = dict(tools=temp, config=temp)
op = create_win_batches(folders,
selection={"r", "julia"},
fLOG=fLOG,
module_list=list_modules)
for _ in op:
fLOG(_)
assert len(op) > 0
for a, b in op:
assert os.path.exists(b)
def test_pipy_version(self):
fLOG(__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
if sys.version_info[0] == 2:
return
subset = {
"cubehelix", "dataspyre", "ete3", "heapdict", "libpython",
"natgrid", "onedrive-sdk-python", "orange3", "orange3-associate",
"orange3-network", "orange3-text", "py-earth", "pyexecjs", "pymc3",
"pyreact", "pythonqwt", "qtpy"
}
mods = ensae_fullset()
mods = [_ for _ in mods if _.name in subset]
self._pipy_version(mods, nbmax=15)