def test_notebook_runner_2a_ml(self):
fLOG(
__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
from ensae_teaching_cs.automation.notebook_test_helper import ls_notebooks, execute_notebooks, clean_function_1a
from ensae_teaching_cs.data import simple_database
temp = get_temp_folder(__file__, "temp_notebook2a_ml4")
keepnote = ls_notebooks("td2a_ml")
keepnote = [_ for _ in keepnote if "overfitting" in _]
shutil.copy(simple_database(), temp)
def filter(i, n):
if "SNCF" in n:
return False
if "Scraping" in n:
return False
if "deep_python" in n:
return False
if "h2o" in n:
# h2o is not working from a virtual environment
return False
if "td2a" in os.path.split(n)[-1]:
# already tested by others tests
return False
if "libraries" in n:
return False
return True
execute_notebooks(temp, keepnote, filter, fLOG=fLOG,
clean_function=clean_function_1a,
dump=ensae_teaching_cs)
def test_notebook_runner_2a_eco(self):
fLOG(__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
if is_travis_or_appveyor():
# Requires authentification.
return
from ensae_teaching_cs.automation.notebook_test_helper import ls_notebooks, execute_notebooks, clean_function_1a
from ensae_teaching_cs.data import simple_database
temp = get_temp_folder(__file__, "temp_notebook2a_eco")
keepnote = ls_notebooks("td2a_eco")
shutil.copy(simple_database(), temp)
def filter(i, n):
if "SNCF" in n:
return False
if "Scraping" in n:
return False
if "2.ipynb" in n:
return False
if "flask" in n.lower():
# flask from a notebook does not work
return False
if "td2a_TD5_Traitement_automatique_des_langues_en_Python" in n:
return False
return True
execute_notebooks(temp,
keepnote,
filter,
fLOG=fLOG,
clean_function=clean_function_1a,
dump=ensae_teaching_cs)
def test_notebook_runner_2a_eco_nlp_long(self):
fLOG(
__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
if is_travis_or_appveyor():
# Requires authentification.
return
from ensae_teaching_cs.automation.notebook_test_helper import ls_notebooks, execute_notebooks, clean_function_1a
from ensae_teaching_cs.data import simple_database
temp = get_temp_folder(__file__, "temp_notebook2a_eco_nlp_long")
keepnote = ls_notebooks("td2a_eco")
shutil.copy(simple_database(), temp)
folder = os.path.join(temp, "ressources_googleplus")
if not os.path.exists(folder):
os.mkdir(folder)
jsfile = os.path.join(os.path.dirname(keepnote[0]),
"ressources_googleplus", "107033731246200681024.json")
shutil.copy(jsfile, folder)
def filter(i, n):
if "td2a_TD5_Traitement_automatique_des_langues_en_Python" in n:
return True
return False
execute_notebooks(temp, keepnote, filter, fLOG=fLOG,
clean_function=clean_function_1a,
dump=ensae_teaching_cs)
def test_notebook_runner_2a_long(self):
fLOG(
__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
if "travis" in sys.executable:
# skip travis and R
warnings.warn(
"travis, unable to test TestNotebookRunner2a_long.test_notebook_runner_2a_long")
return
if "R_HOME" not in os.environ or not os.path.exists(os.environ["R_HOME"]):
paths = [r"C:\Program Files\R\R-3.2.4revised",
r"C:\Program Files\R\R-3.2.4",
r"C:\Program Files\R\R-3.2.3",
r"C:\Program Files\R\R-3.2.2"]
for path in paths:
if os.path.exists(path):
os.environ["R_HOME"] = path
break
if "R_HOME" not in os.environ:
warnings.warn("No installed R")
return
from ensae_teaching_cs.automation.notebook_test_helper import ls_notebooks, execute_notebooks
from ensae_teaching_cs.automation.notebook_test_helper import clean_function_1a
temp = get_temp_folder(__file__, "temp_notebook2a_long_")
keepnote = ls_notebooks("2a")
execute_notebooks(temp, keepnote, (lambda i, n: "python_r" in n), fLOG=fLOG,
clean_function=clean_function_1a, dump=ensae_teaching_cs)
def test_notebook_runner_2a_eco(self):
fLOG(
__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
if is_travis_or_appveyor():
# Requires authentification.
return
from ensae_teaching_cs.automation.notebook_test_helper import ls_notebooks, execute_notebooks, clean_function_1a
from ensae_teaching_cs.data import simple_database
temp = get_temp_folder(__file__, "temp_notebook2a_eco")
keepnote = ls_notebooks("td2a_eco")
shutil.copy(simple_database(), temp)
def filter(i, n):
if "SNCF" in n:
return False
if "Scraping" in n:
return False
if "2.ipynb" in n:
return False
if "flask" in n.lower():
# flask from a notebook does not work
return False
if "td2a_TD5_Traitement_automatique_des_langues_en_Python" in n:
return False
return True
execute_notebooks(temp, keepnote,
filter,
fLOG=fLOG,
clean_function=clean_function_1a,
dump=ensae_teaching_cs)
def test_notebook_runner_correction_1_7(self):
fLOG(__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
from ensae_teaching_cs.automation.notebook_test_helper import ls_notebooks, execute_notebooks, clean_function_1a
temp = get_temp_folder(__file__, "temp_notebook1a_correction_1_7")
keepnote = ls_notebooks("td1a")
fold = os.path.dirname(keepnote[0])
cp = os.path.join(temp, "..", "data", "seance4_excel.txt")
shutil.copy(cp, temp)
cp = os.path.join(temp, "..", "data", "seance4_excel.xlsx")
shutil.copy(cp, temp)
cp = os.path.join(fold, "td2_1.png")
shutil.copy(cp, temp)
execute_notebooks(
temp,
keepnote,
lambda i, n: "_12" not in n and "session6." not in n and
"session8." not in n and "session9." not in n and "session_10."
not in n and "session_11." not in n and "session5." not in n and
"deviner" not in n and "correction" in n,
fLOG=fLOG,
clean_function=clean_function_1a,
dump=ensae_teaching_cs)
def test_notebook_runner_2a_ml(self):
fLOG(
__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
from ensae_teaching_cs.automation.notebook_test_helper import ls_notebooks, execute_notebooks, clean_function_1a
from ensae_teaching_cs.data import simple_database
temp = get_temp_folder(__file__, "temp_notebook2a_ml")
keepnote = ls_notebooks("td2a_ml")
keepnote = [_ for _ in keepnote if "machine_learning" in _]
shutil.copy(simple_database(), temp)
def filter(i, n):
if "SNCF" in n:
return False
if "Scraping" in n:
return False
if "deep_python" in n:
return False
if "h2o" in n:
# h2o is not working from a virtual environment
return False
if "td2a" in os.path.split(n)[-1]:
# already tested by others tests
return False
return True
execute_notebooks(temp, keepnote, filter, fLOG=fLOG,
clean_function=clean_function_1a,
dump=ensae_teaching_cs)
def test_notebook_runner_correction_1_7(self):
fLOG(
__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
from ensae_teaching_cs.automation.notebook_test_helper import ls_notebooks, execute_notebooks, clean_function_1a
temp = get_temp_folder(__file__, "temp_notebook1a_correction_1_7")
keepnote = ls_notebooks("td1a")
fold = os.path.dirname(keepnote[0])
cp = os.path.join(temp, "..", "data", "seance4_excel.txt")
shutil.copy(cp, temp)
cp = os.path.join(temp, "..", "data", "seance4_excel.xlsx")
shutil.copy(cp, temp)
cp = os.path.join(fold, "td2_1.png")
shutil.copy(cp, temp)
execute_notebooks(temp, keepnote,
lambda i, n: "_12" not in n and
"session6." not in n and
"session8." not in n and
"session9." not in n and
"session_10." not in n and
"session_11." not in n and
"session5." not in n and
"deviner" not in n and
"correction" in n,
fLOG=fLOG,
clean_function=clean_function_1a,
dump=ensae_teaching_cs)
def common_notebook_runner_2a_eco_nlp_enonce(self, sub):
from ensae_teaching_cs.automation.notebook_test_helper import ls_notebooks, execute_notebooks, clean_function_1a
temp = get_temp_folder(__file__, "temp_notebook2a_eco_nlp_" + sub)
keepnote = ls_notebooks("td2a_eco")
if sub in ("correction", "enonce"):
folder = os.path.join(temp, "ressources_googleplus")
os.mkdir(folder)
folder_note = os.path.split(keepnote[0])[0]
jsfile = os.path.join(
folder_note, "ressources_googleplus", "107033731246200681024.json")
shutil.copy(jsfile, folder)
def filter(i, n):
if "Traitement_automatique" not in n:
return False
if sub == "enonce":
if "correction" in n:
return False
elif sub not in n:
return False
return True
res = execute_notebooks(temp, keepnote,
filter,
fLOG=fLOG,
clean_function=clean_function_1a,
dump=ensae_teaching_cs)
return res
def a_test_notebook_runner(self, name, folder):
from ensae_teaching_cs.automation.notebook_test_helper import ls_notebooks, execute_notebooks, clean_function_1a
from ensae_teaching_cs.helpers.size_helper import total_size
self.assertTrue(total_size)
temp = get_temp_folder(__file__, "temp_notebook_123_{0}".format(name))
keepnote = ls_notebooks(folder)
self.assertTrue(len(keepnote) > 0)
def custom_clean_function_1a(cell):
if "..." in cell:
return ""
if "b[0,0] = 44444444" in cell:
return ""
return clean_function_1a(cell)
replacements = {
'input("Entrez un nombre")': 'random.randint(0, 100)',
'input(message)': 'random.randint(0, 100)'
}
execute_notebooks(temp,
keepnote,
lambda i, n: name in n,
fLOG=fLOG,
replacements=replacements,
clean_function=custom_clean_function_1a,
dump=ensae_teaching_cs)
def common_notebook_runner_2a_eco_nlp_enonce(self, sub):
from ensae_teaching_cs.automation.notebook_test_helper import ls_notebooks, execute_notebooks, clean_function_1a
temp = get_temp_folder(__file__, "temp_notebook2a_eco_nlp_" + sub)
keepnote = ls_notebooks("td2a_eco")
if sub in ("correction", "enonce"):
folder = os.path.join(temp, "ressources_googleplus")
os.mkdir(folder)
folder_note = os.path.split(keepnote[0])[0]
jsfile = os.path.join(folder_note, "ressources_googleplus",
"107033731246200681024.json")
shutil.copy(jsfile, folder)
def filter(i, n):
if "Traitement_automatique" not in n:
return False
if sub == "enonce":
if "correction" in n:
return False
elif sub not in n:
return False
return True
res = execute_notebooks(temp,
keepnote,
filter,
fLOG=fLOG,
clean_function=clean_function_1a,
dump=ensae_teaching_cs)
return res
def test_notebook_runner_enonce_algo(self):
fLOG(__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
temp = get_temp_folder(__file__, "temp_notebook1a_algo")
from ensae_teaching_cs.automation.notebook_test_helper import ls_notebooks, execute_notebooks, clean_function_1a
keepnote = ls_notebooks("td1a_algo")
def filter(i, n):
if is_travis_or_appveyor() == "travis":
if "graph1exo_parcours" in n or "graph4exos" in n:
# Graphviz is installed but cannot be found.
return False
if "graph_spectral_clustering" in n:
# Graphviz is installed but cannot be found.
return False
return "BJKST" in n or ("enonce" not in n
and "correction" not in n)
execute_notebooks(temp,
keepnote,
filter,
fLOG=fLOG,
clean_function=clean_function_1a,
dump=ensae_teaching_cs)
def test_notebook_runner(self):
fLOG(__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
# this notebook describes how to distribute the work with multiple processors
# it requires to start multiple clusters first (a command line)
# and to stop them afterwards
# it still needs to be implemented
# we skip !
warnings.warn(
"TODO: implement a unit test testing the distribution on multiple processors"
)
do_test = False
if do_test:
temp = get_temp_folder(__file__, "temp_notebook2a_2_enonce_2D")
keepnote = ls_notebooks("td2a")
execute_notebooks(
temp,
keepnote,
lambda i, n: "_2" in n and "enonce" in n and "_2D" in n,
fLOG=fLOG,
clean_function=clean_function_1a,
dump=ensae_teaching_cs)
def test_notebook_runner_correction(self):
fLOG(
__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
from ensae_teaching_cs.automation.notebook_test_helper import ls_notebooks, execute_notebooks, clean_function_1a
temp = get_temp_folder(__file__, "temp_notebook2a_3B_correction")
keepnote = ls_notebooks("td2a_ml")
execute_notebooks(temp, keepnote, (lambda i, n: "_3B" in n and "correction" in n),
clean_function=clean_function_1a, dump=ensae_teaching_cs)
def test_notebook_runner_correction(self):
fLOG(
__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
from ensae_teaching_cs.automation.notebook_test_helper import ls_notebooks, execute_notebooks, clean_function_1a
temp = get_temp_folder(__file__, "temp_notebook2a_3A_correction")
keepnote = ls_notebooks("td2a_ml")
execute_notebooks(temp, keepnote, (lambda i, n: "_3A" in n and "correction" in n),
clean_function=clean_function_1a, dump=ensae_teaching_cs)
def test_notebook_runner_enonce_8(self):
fLOG(
__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
from ensae_teaching_cs.automation.notebook_test_helper import ls_notebooks, execute_notebooks, clean_function_1a
temp = get_temp_folder(__file__, "temp_notebook1a_enonce_8")
keepnote = ls_notebooks("td1a_algo")
execute_notebooks(temp, keepnote, lambda i, n: "cenonce_session8." in n,
fLOG=fLOG, clean_function=clean_function_1a,
dump=ensae_teaching_cs)
def test_notebook_runner_eleves(self):
fLOG(
__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
from ensae_teaching_cs.automation.notebook_test_helper import ls_notebooks, execute_notebooks
temp = get_temp_folder(__file__, "temp_notebook_eleves_2017")
keepnote = ls_notebooks("notebook_eleves/2017-2018")
self.assertTrue(len(keepnote) > 0)
execute_notebooks(temp, keepnote, (lambda i, n: True), fLOG=fLOG,
replacements=self.get_replacements(), dump=ensae_teaching_cs)
def test_notebook_runner_exposelong2(self):
fLOG(
__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
from ensae_teaching_cs.automation.notebook_test_helper import ls_notebooks, execute_notebooks, clean_function_1a
temp = get_temp_folder(__file__, "temp_notebookexposelong2_")
keepnote = ls_notebooks("expose")
execute_notebooks(temp, keepnote, (lambda i, n: "paris_parcours" in n),
fLOG=fLOG, deepfLOG=fLOG if __name__ == "__main__" else noLOG,
clean_function=clean_function_1a, dump=ensae_teaching_cs)
def test_notebook_runner(self):
fLOG(
__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
from ensae_teaching_cs.automation.notebook_test_helper import ls_notebooks, execute_notebooks, clean_function_1a
temp = get_temp_folder(__file__, "temp_notebook2a_1")
keepnote = ls_notebooks("competitions/2016")
execute_notebooks(temp, keepnote, (lambda i, n: "solution" not in n),
clean_function=clean_function_1a,
fLOG=fLOG, dump=ensae_teaching_cs)
def test_notebook_runner(self):
fLOG(__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
from ensae_teaching_cs.automation.notebook_test_helper import ls_notebooks, execute_notebooks
temp = get_temp_folder(__file__, "temp_notebook2a_5")
keepnote = ls_notebooks("2a")
execute_notebooks(temp,
keepnote, (lambda i, n: "_5" in n),
fLOG=fLOG,
dump=ensae_teaching_cs)
def test_notebook_runner_enonce_12(self):
fLOG(
__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
from ensae_teaching_cs.automation.notebook_test_helper import ls_notebooks, execute_notebooks
temp = get_temp_folder(__file__, "temp_notebook1a_enonce_12")
keepnote = ls_notebooks("td1a_dfnp")
execute_notebooks(temp, keepnote, (lambda i, n: "cenonce_session_12" in n),
fLOG=fLOG, deepfLOG=fLOG if __name__ == "__main__" else noLOG,
clean_function=TestNotebookRunner1a_enonce_12.clean_function,
dump=ensae_teaching_cs)
def test_notebook_runner(self):
fLOG(__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
from ensae_teaching_cs.automation.notebook_test_helper import ls_notebooks, execute_notebooks, clean_function_1a
temp = get_temp_folder(__file__, "temp_notebook2a_1")
keepnote = ls_notebooks("competitions/2016")
execute_notebooks(temp,
keepnote, (lambda i, n: "solution" not in n),
clean_function=clean_function_1a,
fLOG=fLOG,
dump=ensae_teaching_cs)
def test_notebook_runner_enonce(self):
fLOG(
__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
from ensae_teaching_cs.automation.notebook_test_helper import ls_notebooks, execute_notebooks
from ensae_teaching_cs.data import simple_database
temp = get_temp_folder(__file__, "temp_notebook2a_eco_sql")
keepnote = ls_notebooks("td2a_eco")
shutil.copy(simple_database(), temp)
execute_notebooks(temp, keepnote, (lambda i, n: "sql" in n), fLOG=fLOG,
replacements=self.get_replacements(), dump=ensae_teaching_cs)
def a_test_notebook_runner_1a(self, name, folder):
from ensae_teaching_cs.automation.notebook_test_helper import ls_notebooks, execute_notebooks, clean_function_1a
from ensae_teaching_cs.helpers.size_helper import total_size
self.assertTrue(total_size)
temp = get_temp_folder(__file__, "temp_notebook_123_{0}".format(name))
keepnote = ls_notebooks(folder)
self.assertTrue(len(keepnote) > 0)
execute_notebooks(temp, keepnote,
lambda i, n: name in n,
fLOG=fLOG, clean_function=clean_function_1a,
dump=ensae_teaching_cs)
def test_notebook_runner(self):
fLOG(
__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
from ensae_teaching_cs.automation.notebook_test_helper import ls_notebooks, execute_notebooks
from ensae_teaching_cs.data import simple_database
temp = get_temp_folder(__file__, "temp_notebook2a_2_corection")
keepnote = ls_notebooks("td2a")
shutil.copy(simple_database(), temp)
execute_notebooks(temp, keepnote, (lambda i, n: "n_2" in n and
"correction" in n and "_2B" not in n), fLOG=fLOG,
dump=ensae_teaching_cs)
def test_notebook_runner_enonce_home(self):
fLOG(
__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
temp = get_temp_folder(__file__, "temp_notebook1a_home")
from ensae_teaching_cs.automation.notebook_test_helper import ls_notebooks, execute_notebooks
keepnote = ls_notebooks("td1a_home")
sr = [_ for _ in keepnote if "json" in _]
shutil.copy(sr[0], temp)
execute_notebooks(temp, keepnote, filter, fLOG=fLOG,
dump=ensae_teaching_cs)
def test_notebook_runner_exams(self):
fLOG(
__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
from ensae_teaching_cs.automation.notebook_test_helper import ls_notebooks, execute_notebooks, clean_function_1a
temp = get_temp_folder(__file__, "temp_notebookexams_")
keepnote = ls_notebooks("exams")
execute_notebooks(temp, keepnote,
lambda i, n: "git_" not in n and "interro_rapide_20_minutes_2014_11" not in n,
fLOG=fLOG,
clean_function=clean_function_1a,
dump=ensae_teaching_cs)
def test_notebook_runner_correction(self):
fLOG(__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
from ensae_teaching_cs.automation.notebook_test_helper import ls_notebooks, execute_notebooks
temp = get_temp_folder(__file__, "temp_notebook2a_4_correction")
keepnote = ls_notebooks("td2a_ml")
execute_notebooks(temp,
keepnote,
lambda i, n: "_4" in n and "correction" in n,
fLOG=fLOG,
replacements=self.get_replacements(),
dump=ensae_teaching_cs)
def test_notebook_runner_eleves(self):
fLOG(__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
from ensae_teaching_cs.automation.notebook_test_helper import ls_notebooks, execute_notebooks
temp = get_temp_folder(__file__, "temp_notebook_eleves_2017")
keepnote = ls_notebooks("notebook_eleves/2017-2018")
self.assertTrue(len(keepnote) > 0)
execute_notebooks(temp,
keepnote, (lambda i, n: True),
fLOG=fLOG,
replacements=self.get_replacements(),
dump=ensae_teaching_cs)
def test_notebook_runner_soft_cpp(self):
fLOG(__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
temp = get_temp_folder(__file__, "temp_notebook1a_soft")
from ensae_teaching_cs.automation.notebook_test_helper import ls_notebooks, execute_notebooks, clean_function_1a
keepnote = ls_notebooks("td1a_soft")
execute_notebooks(temp,
keepnote,
lambda i, n: "edit_correction" in n,
fLOG=fLOG,
clean_function=clean_function_1a,
dump=ensae_teaching_cs)
def test_notebook_runner_correction_12(self):
fLOG(
__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
from ensae_teaching_cs.automation.notebook_test_helper import ls_notebooks, execute_notebooks
temp = get_temp_folder(__file__, "temp_notebook1a_correction_12")
keepnote = ls_notebooks("td1a_dfnp")
execute_notebooks(temp, keepnote, (lambda i, n: "correction_session_12" in n),
fLOG=fLOG, deepfLOG=fLOG if __name__ == "__main__" else noLOG,
clean_function=TestNotebookRunner1a_correction_12.clean_function,
dump=ensae_teaching_cs)
def test_notebook_runner_correction_9(self):
fLOG(
__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
from ensae_teaching_cs.automation.notebook_test_helper import ls_notebooks, execute_notebooks, clean_function_1a, copy_data_file
temp = get_temp_folder(__file__, "temp_notebook1a_correction_9")
keepnote = ls_notebooks("td1a_algo")
copy_data_file("td1a", "seance4_excel.txt", temp, fLOG=fLOG)
copy_data_file("td1a", "seance4_excel.xlsx", temp, fLOG=fLOG)
execute_notebooks(temp, keepnote, (lambda i, n: "_12" not in n and
"session9." in n and "correction" in n),
fLOG=fLOG, clean_function=clean_function_1a,
dump=ensae_teaching_cs)
def test_notebook_runner(self):
fLOG(
__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
from ensae_teaching_cs.automation.notebook_test_helper import ls_notebooks, execute_notebooks
from ensae_teaching_cs.automation.notebook_test_helper import clean_function_1a
temp = get_temp_folder(__file__, "temp_notebook2a_1_tiny")
keepnote = ls_notebooks("td2a_eco")
for k in keepnote:
if "_1" in k:
fLOG("*********", k)
execute_notebooks(temp, keepnote, (lambda i, n: "_1" in n and "td2_eco_rappels_1a" in n),
clean_function=clean_function_1a, fLOG=fLOG, dump=ensae_teaching_cs)
def test_notebook_runner_expose1(self):
fLOG(
__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
from ensae_teaching_cs.automation.notebook_test_helper import ls_notebooks, execute_notebooks, clean_function_1a
temp = get_temp_folder(__file__, "temp_notebookexpose1_")
keepnote = ls_notebooks("expose")
execute_notebooks(temp, keepnote,
lambda i, n: "velib" not in n and "paris_parcours" not in n and
"ml_table_mortalite" not in n and "huge" not in n,
fLOG=fLOG,
clean_function=clean_function_1a,
dump=ensae_teaching_cs)
def test_notebook_runner_exposelong3(self):
fLOG(
__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
from ensae_teaching_cs.automation.notebook_test_helper import ls_notebooks, execute_notebooks, clean_function_1a
temp = get_temp_folder(__file__, "temp_notebookexposelong3_")
keepnote = ls_notebooks("expose")
execute_notebooks(temp, keepnote,
lambda i, n: "mortalite" in n,
fLOG=fLOG,
deepfLOG=fLOG if __name__ == "__main__" else noLOG,
clean_function=clean_function_1a,
dump=ensae_teaching_cs)
def test_notebook_runner(self):
fLOG(__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
from ensae_teaching_cs.automation.notebook_test_helper import ls_notebooks, execute_notebooks
from ensae_teaching_cs.data import simple_database
temp = get_temp_folder(__file__, "temp_notebook2a_2_corection")
keepnote = ls_notebooks("td2a")
shutil.copy(simple_database(), temp)
execute_notebooks(
temp,
keepnote,
(lambda i, n: "n_2" in n and "correction" in n and "_2B" not in n),
fLOG=fLOG,
dump=ensae_teaching_cs)
def test_notebook_runner_soft(self):
fLOG(
__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
temp = get_temp_folder(__file__, "temp_notebook1a_soft")
from ensae_teaching_cs.automation.notebook_test_helper import ls_notebooks, execute_notebooks, clean_function_1a
keepnote = ls_notebooks("td1a_soft")
for n in keepnote:
fLOG(n)
execute_notebooks(temp, keepnote,
lambda i, n: "csharp" not in n and "edit_correction" not in n and "sql" not in n,
fLOG=fLOG,
clean_function=clean_function_1a,
dump=ensae_teaching_cs)
def test_notebook_runner_correction_9(self):
fLOG(__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
from ensae_teaching_cs.automation.notebook_test_helper import ls_notebooks, execute_notebooks, clean_function_1a, copy_data_file
temp = get_temp_folder(__file__, "temp_notebook1a_correction_9")
keepnote = ls_notebooks("td1a_algo")
copy_data_file("td1a", "seance4_excel.txt", temp, fLOG=fLOG)
copy_data_file("td1a", "seance4_excel.xlsx", temp, fLOG=fLOG)
execute_notebooks(temp,
keepnote, (lambda i, n: "_12" not in n and
"session9." in n and "correction" in n),
fLOG=fLOG,
clean_function=clean_function_1a,
dump=ensae_teaching_cs)
def test_notebook_runner_expose1(self):
fLOG(__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
from ensae_teaching_cs.automation.notebook_test_helper import ls_notebooks, execute_notebooks, clean_function_1a
temp = get_temp_folder(__file__, "temp_notebookexpose1_")
keepnote = ls_notebooks("expose")
execute_notebooks(
temp,
keepnote,
lambda i, n: "velib" not in n and "paris_parcours" not in n and
"ml_table_mortalite" not in n and "huge" not in n,
fLOG=fLOG,
clean_function=clean_function_1a,
dump=ensae_teaching_cs)
def test_notebook_runner(self):
fLOG(
__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
from ensae_teaching_cs.automation.notebook_test_helper import ls_notebooks, execute_notebooks
temp = get_temp_folder(__file__, "temp_notebook2a_6")
keepnote = ls_notebooks("td2a_algo")
fold = os.path.dirname(keepnote[0])
for png in os.listdir(fold):
if ".png" not in png:
continue
fLOG("copy", png)
shutil.copy(os.path.join(fold, png), temp)
execute_notebooks(temp, keepnote, lambda i, n: "_6" in n,
fLOG=fLOG, dump=ensae_teaching_cs)
def test_notebook_runner_1a_part2(self):
fLOG(
__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
from ensae_teaching_cs.automation.notebook_test_helper import ls_notebooks, execute_notebooks, clean_function_1a
from ensae_teaching_cs.helpers.size_helper import total_size
self.assertTrue(total_size)
temp = get_temp_folder(__file__, "temp_notebook1a_part2")
keepnote = ls_notebooks("1a")
self.assertTrue(len(keepnote) > 0)
execute_notebooks(temp, keepnote,
lambda i, n: "deviner" not in n and "exercice" not in n,
fLOG=fLOG,
clean_function=clean_function_1a,
dump=ensae_teaching_cs)
def a_test_notebook_runner(self, name, folder):
from ensae_teaching_cs.automation.notebook_test_helper import ls_notebooks, execute_notebooks, clean_function_1a
from ensae_teaching_cs.helpers.size_helper import total_size
self.assertTrue(total_size)
temp = get_temp_folder(__file__, "temp_notebook_123_{0}".format(name))
keepnote = ls_notebooks(folder)
self.assertTrue(len(keepnote) > 0)
replacements = {'input("Entrez un nombre")': 'random.randint(0, 100)',
'input(message)': 'random.randint(0, 100)'}
execute_notebooks(temp, keepnote,
lambda i, n: name in n,
fLOG=fLOG, replacements=replacements,
clean_function=clean_function_1a,
dump=ensae_teaching_cs)
def test_notebook_runner_1a_part2(self):
fLOG(__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
from ensae_teaching_cs.automation.notebook_test_helper import ls_notebooks, execute_notebooks, clean_function_1a
from ensae_teaching_cs.helpers.size_helper import total_size
self.assertTrue(total_size)
temp = get_temp_folder(__file__, "temp_notebook1a_part2")
keepnote = ls_notebooks("1a")
self.assertTrue(len(keepnote) > 0)
execute_notebooks(
temp,
keepnote,
lambda i, n: "deviner" not in n and "exercice" not in n,
fLOG=fLOG,
clean_function=clean_function_1a,
dump=ensae_teaching_cs)
def test_notebook_runner_2a_cffi(self):
fLOG(
__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
from ensae_teaching_cs.automation.notebook_test_helper import ls_notebooks, execute_notebooks, clean_function_1a
temp = get_temp_folder(__file__, "temp_notebook2a_")
keepnote = ls_notebooks("2a")
def filter(i, n):
if "cffi" not in n:
return False
return True
execute_notebooks(temp, keepnote, filter, fLOG=fLOG,
clean_function=clean_function_1a,
dump=ensae_teaching_cs)
def a_test_notebook_runner(self, name, folder, additional_path=None):
from ensae_teaching_cs.automation.notebook_test_helper import ls_notebooks, execute_notebooks, clean_function_1a
from ensae_teaching_cs.helpers.size_helper import total_size
import ensae_teaching_cs
self.assertTrue(total_size)
temp = get_temp_folder(__file__, "temp_notebook_123_{0}".format(name))
keepnote = ls_notebooks(folder)
self.assertTrue(len(keepnote) > 0)
replacements = {'input("Entrez un nombre")': 'random.randint(0, 100)',
'input(message)': 'random.randint(0, 100)'}
execute_notebooks(temp, keepnote,
lambda i, n: name in n,
fLOG=fLOG, replacements=replacements,
clean_function=clean_function_1a,
dump=ensae_teaching_cs,
additional_path=additional_path)
def test_notebook_runner(self):
fLOG(__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
from ensae_teaching_cs.automation.notebook_test_helper import ls_notebooks, execute_notebooks
temp = get_temp_folder(__file__, "temp_notebook2a_6")
keepnote = ls_notebooks("td2a_algo")
fold = os.path.dirname(keepnote[0])
for png in os.listdir(fold):
if ".png" not in png:
continue
fLOG("copy", png)
shutil.copy(os.path.join(fold, png), temp)
execute_notebooks(temp,
keepnote,
lambda i, n: "_6" in n,
fLOG=fLOG,
dump=ensae_teaching_cs)
def test_notebook_runner_enonce_10(self):
fLOG(__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
temp = get_temp_folder(__file__, "temp_notebook1a_enonce_10")
from ensae_teaching_cs.automation.notebook_test_helper import ls_notebooks, execute_notebooks, clean_function_1a
keepnote = ls_notebooks("td1a_dfnp")
fold = os.path.dirname(keepnote[0])
for png in os.listdir(fold):
if ".png" not in png:
continue
fLOG("copy", png)
shutil.copy(os.path.join(fold, png), temp)
execute_notebooks(temp,
keepnote,
lambda i, n: "cenonce_session_10." in n,
fLOG=fLOG,
clean_function=clean_function_1a,
dump=ensae_teaching_cs)
def test_notebook_runner_2a_bayesian(self):
fLOG(__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
from ensae_teaching_cs.automation.notebook_test_helper import ls_notebooks, execute_notebooks, clean_function_1a
temp = get_temp_folder(__file__, "temp_notebook2a_")
keepnote = ls_notebooks("2a")
def filter(i, n):
if "bayesian_with_python" in n:
return True
return False
execute_notebooks(temp,
keepnote,
filter,
fLOG=fLOG,
clean_function=clean_function_1a,
dump=ensae_teaching_cs)
def test_notebook_runner_2a_eco_scraping(self):
fLOG(
__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
from ensae_teaching_cs.automation.notebook_test_helper import ls_notebooks, execute_notebooks, clean_function_1a
from ensae_teaching_cs.data import simple_database
temp = get_temp_folder(__file__, "temp_notebook2a_eco_scraping")
keepnote = ls_notebooks("td2a_eco")
shutil.copy(simple_database(), temp)
def filter(i, n):
if "Scraping" not in n:
return False
if "corrige" in n:
return False
return True
execute_notebooks(temp, keepnote, filter, fLOG=fLOG,
clean_function=clean_function_1a,
dump=ensae_teaching_cs)
def test_notebook_runner(self):
fLOG(
__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
from ensae_teaching_cs.automation.notebook_test_helper import ls_notebooks, execute_notebooks, clean_function_1a
temp = get_temp_folder(__file__, "temp_notebook2a_2_enonce")
keepnote = ls_notebooks("td2a")
fold = os.path.dirname(keepnote[0])
for png in os.listdir(fold):
if ".png" not in png:
continue
fLOG("copy", png)
shutil.copy(os.path.join(fold, png), temp)
self.assertTrue(len(keepnote) > 0)
execute_notebooks(temp, keepnote, lambda i, n: "_2" in n and
"enonce" in n and "_2D" not in n and "_2B" not in n,
fLOG=fLOG, clean_function=clean_function_1a,
dump=ensae_teaching_cs)
def test_notebook_runner_enonce_algo(self):
fLOG(
__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
temp = get_temp_folder(__file__, "temp_notebook1a_algo")
from ensae_teaching_cs.automation.notebook_test_helper import ls_notebooks, execute_notebooks, clean_function_1a
keepnote = ls_notebooks("td1a_algo")
def filter(i, n):
if is_travis_or_appveyor() == "travis":
if "graph1exo_parcours" in n or "graph4exos" in n:
# Graphviz is installed but cannot be found.
return False
if "graph_spectral_clustering" in n:
# Graphviz is installed but cannot be found.
return False
return "BJKST" in n or ("enonce" not in n and "correction" not in n)
execute_notebooks(temp, keepnote, filter, fLOG=fLOG,
clean_function=clean_function_1a,
dump=ensae_teaching_cs)
def test_notebook_runner(self):
fLOG(
__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
# this notebook describes how to distribute the work with multiple processors
# it requires to start multiple clusters first (a command line)
# and to stop them afterwards
# it still needs to be implemented
# we skip !
warnings.warn(
"TODO: implement a unit test testing the distribution on multiple processors")
do_test = False
if do_test:
temp = get_temp_folder(__file__, "temp_notebook2a_2_enonce_2D")
keepnote = ls_notebooks("td2a")
execute_notebooks(temp, keepnote, lambda i, n: "_2" in n and
"enonce" in n and "_2D" in n,
fLOG=fLOG, clean_function=clean_function_1a,
dump=ensae_teaching_cs)
def test_notebook_runner_ensae_sklearn(self):
fLOG(
__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
from ensae_teaching_cs.automation.notebook_test_helper import ls_notebooks, execute_notebooks, clean_function_1a
from ensae_teaching_cs.automation.notebook_test_helper import copy_data_file
from ensae_teaching_cs.helpers.size_helper import total_size
self.assertTrue(total_size)
temp = get_temp_folder(__file__, "temp_notebook_ensae_sklearn")
keepnote = ls_notebooks("sklearn_ensae_course")
self.assertTrue(len(keepnote) > 0)
copy_data_file("sklearn_ensae_course",
"iris_setosa.jpg", temp, fLOG=fLOG)
copy_data_file("sklearn_ensae_course",
"iris_versicolor.jpg", temp, fLOG=fLOG)
copy_data_file("sklearn_ensae_course",
"iris_virginica.jpg", temp, fLOG=fLOG)
execute_notebooks(temp, keepnote,
lambda i, n: True,
fLOG=fLOG,
clean_function=clean_function_1a,
dump=ensae_teaching_cs,
additional_path=[os.path.dirname(keepnote[0])])