def test_long_long_notebook_population(self):
fLOG(__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
fix_tkinter_issues_virtualenv()
from actuariat_python.automation.notebook_test_helper import ls_notebooks, execute_notebooks, clean_function_notebook
if "travis" in sys.executable:
# matplotlib is still failing
warnings.warn(
"travis, unable to test TestNotebookPopulation.test_notebook_sessions"
)
return
temp = get_temp_folder(__file__, "temp_sessions_long_long")
keepnote = [
_ for _ in ls_notebooks("sessions") if
"seance6_graphes_correction" in _ or "seance6_graphes_enonce" in _
]
self.assertTrue(len(keepnote) > 0)
clog = CustomLog(temp)
res = execute_notebooks(temp,
keepnote,
lambda i, n: "deviner" not in n,
fLOG=fLOG,
clean_function=clean_function_notebook,
detailed_log=clog)
execute_notebook_list_finalize_ut(res,
fLOG=fLOG,
dump=actuariat_python)
def test_notebook_internet(self):
fLOG(__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
fix_tkinter_issues_virtualenv()
if "travis" in sys.executable:
# matplotlib is still failing
warnings.warn(
"travis, unable to test TestNotebookInternet.test_notebook_internet"
)
return
from actuariat_python.automation.notebook_test_helper import ls_notebooks, execute_notebooks, clean_function_notebook
from mlstatpy.data.wikipedia import download_pageviews
self.assertTrue(download_pageviews)
temp = get_temp_folder(__file__, "temp_internet")
keepnote = [
_ for _ in ls_notebooks("internet")
if "wikipedia_stats_correction" not in _
]
self.assertTrue(len(keepnote) > 0)
for k in keepnote:
fLOG(k)
res = execute_notebooks(temp,
keepnote,
lambda i, n: True,
fLOG=fLOG,
clean_function=clean_function_notebook)
execute_notebook_list_finalize_ut(res,
fLOG=fLOG,
dump=actuariat_python)
def test_notebook_decouverte(self):
fLOG(__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
from actuariat_python.automation.notebook_test_helper import ls_notebooks, execute_notebooks
from actuariat_python.automation.notebook_test_helper import clean_function_notebook
temp = get_temp_folder(__file__, "temp_decouverte")
keepnote = [_ for _ in ls_notebooks("decouverte")]
self.assertTrue(len(keepnote) > 0)
# copy data
folder = os.path.dirname(keepnote[0])
data = [os.path.join(folder, "UN_Data.csv")]
for dt in data:
shutil.copy(dt, temp)
# run the notebooks
res = execute_notebooks(temp,
keepnote,
lambda i, n: True,
fLOG=fLOG,
clean_function=clean_function_notebook)
execute_notebook_list_finalize_ut(res,
fLOG=fLOG,
dump=actuariat_python)
def a_test_notebook_session(self, name):
from actuariat_python.automation.notebook_test_helper import (
ls_notebooks, execute_notebooks, clean_function_notebook)
temp = get_temp_folder(__file__, "temp_sessions_" + name.split('.')[0])
keepnote = [
_ for _ in ls_notebooks("sessions")
if "seance5_approche_fonctionnelle_enonce" not in _
and "seance6_graphes_ml_enonce" not in _
and "election_carte_electorale_correction" not in _
and "seance6_graphes_correction" not in _
and "seance6_graphes_enonce" not in _ and "ways" not in _
]
if is_travis_or_appveyor():
keepnote = [
_ for _ in keepnote if "election_carte_electorale" not in _
]
if name is not None:
keepnote = list(filter(lambda n: name in n, keepnote))
if len(keepnote) == 0:
return
for k in keepnote:
fLOG(k)
# copy data
fold = os.path.dirname(keepnote[0])
files = [os.path.join(fold, "pop-totale-france.txt")]
for name_ in files:
shutil.copy(name_, temp)
data_tem = os.path.join(temp, "data")
if not os.path.exists(data_tem):
os.mkdir(data_tem)
files = [
os.path.join(fold, "data", "housing.data"),
os.path.join(fold, "data", "housing.names"),
os.path.join(fold, "data", "multiTimeline.csv"),
]
for name_ in files:
shutil.copy(name_, data_tem)
res = execute_notebooks(temp,
keepnote,
lambda i, n: "deviner" not in n,
fLOG=fLOG,
clean_function=clean_function_notebook)
execute_notebook_list_finalize_ut(res,
fLOG=fLOG,
dump=actuariat_python)
def test_notebook_examen(self):
fLOG(__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
fix_tkinter_issues_virtualenv()
from actuariat_python.automation.notebook_test_helper import ls_notebooks, execute_notebooks, clean_function_notebook
temp = get_temp_folder(__file__, "temp_examen")
keepnote = ls_notebooks("examen")
self.assertTrue(len(keepnote) > 0)
res = execute_notebooks(temp,
keepnote,
lambda i, n: "deviner" not in n,
fLOG=fLOG,
clean_function=clean_function_notebook)
execute_notebook_list_finalize_ut(res,
fLOG=fLOG,
dump=actuariat_python)
def test_notebook_population(self):
fLOG(__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
fix_tkinter_issues_virtualenv()
from actuariat_python.automation.notebook_test_helper import ls_notebooks, execute_notebooks, clean_function_notebook
temp = get_temp_folder(__file__, "temp_sessions_population")
keepnote = [
_ for _ in ls_notebooks("sessions")
if "seance6_graphes_ml_enonce" in _
]
self.assertTrue(len(keepnote) > 0)
for k in keepnote:
fLOG(k)
res = execute_notebooks(temp,
keepnote,
lambda i, n: "deviner" not in n,
fLOG=fLOG,
clean_function=clean_function_notebook)
execute_notebook_list_finalize_ut(res,
fLOG=fLOG,
dump=actuariat_python)
def test_notebook_population_gerry_mandering(self):
fLOG(__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
fix_tkinter_issues_virtualenv()
from actuariat_python.automation.notebook_test_helper import ls_notebooks, execute_notebooks, clean_function_notebook
temp = get_temp_folder(__file__, "temp_gerry_mandering")
clog = CustomLog(temp)
keepnote = [
_ for _ in ls_notebooks("sessions")
if "election_carte_electorale_correction" in _
]
self.assertTrue(len(keepnote) > 0)
res = execute_notebooks(temp,
keepnote,
lambda i, n: "deviner" not in n,
fLOG=clog,
deepfLOG=clog,
detailed_log=clog,
clean_function=clean_function_notebook)
execute_notebook_list_finalize_ut(res,
fLOG=clog,
dump=actuariat_python)
