def pkl_bootdpci():
np.random.seed(42)
df = create_example_data(3)
results = bootdpci(df, trim_mean, tr)
pickle.dump(results, open("hypothesize/tests/test_data/bootdpci.pkl",
"wb"))
def pkl_lindepbt():
np.random.seed(42)
df = create_example_data(3)
results = lindepbt(df)
pickle.dump(results, open("hypothesize/tests/test_data/lindepbt.pkl",
"wb"))
def test_l2drmci():
np.random.seed(42)
df = create_example_data(2)
results = l2drmci(df.cell_1, df.cell_2, trim_mean, tr)
expected = pickle.load(open("test_data/l2drmci.pkl", "rb"))
assert results == expected
def test_corb():
np.random.seed(42)
df = create_example_data(2)
results = corb(wincor, df.cell_1, df.cell_2, alpha, nboot, tr)
expected = pickle.load(open("test_data/corb.pkl", "rb"))
assert results == expected
def test_wincor():
np.random.seed(42)
df = create_example_data(2)
results = wincor(df.cell_1, df.cell_2)
expected = pickle.load(open("test_data/wincor.pkl", "rb"))
assert results == expected
def test_winall():
np.random.seed(42)
df = create_example_data(3)
results = winall(df)
expected = pickle.load(open("test_data/winall.pkl", "rb"))
expected_truth=build_truth_list(expected)
actual_truth = check_dict_items_equality(expected, results)
assert actual_truth == expected_truth
def test_spmcpi():
np.random.seed(42)
df = create_example_data(6)
results = spmcpi(2, 3, df, trim_mean, tr)
expected = pickle.load(open("test_data/spmcpi.pkl", "rb"))
expected_truth=build_truth_list(expected)
actual_truth = check_dict_items_equality(expected, results)
assert actual_truth == expected_truth
def test_pbcor():
np.random.seed(42)
df = create_example_data(2)
results = pbcor(df.cell_1, df.cell_2)
expected = pickle.load(open("test_data/pbcor.pkl", "rb"))
expected_truth=build_truth_list(expected)
actual_truth = check_dict_items_equality(expected, results)
#assert results == expected
assert actual_truth == expected_truth
def test_corb():
np.random.seed(42)
df = create_example_data(2)
results = corb(wincor, df.cell_1, df.cell_2, alpha, nboot, tr)
expected = pickle.load(open("test_data/corb.pkl", "rb"))
expected_truth = build_truth_list(expected)
actual_truth = check_dict_items_equality(expected, results)
#assert results == expected
assert actual_truth == expected_truth
def test_bwbmcp():
np.random.seed(42)
df = create_example_data(6)
results = bwbmcp(2, 3, df)
expected = pickle.load(open("test_data/bwbmcp.pkl", "rb"))
print(results)
print(expected)
expected_truth=build_truth_list(expected)
actual_truth = check_dict_items_equality(expected, results)
assert actual_truth == expected_truth
def pkl_bwimcp():
np.random.seed(42)
df = create_example_data(6)
results = bwimcp(2, 3, df)
pickle.dump(results, open("hypothesize/tests/test_data/bwimcp.pkl", "wb"))
def pkl_rmmcppb():
np.random.seed(42)
df = create_example_data(3)
results = rmmcppb(df, trim_mean, tr)
pickle.dump(results, open("hypothesize/tests/test_data/rmmcppb.pkl", "wb"))
def pkl_pb2gen():
np.random.seed(42)
df = create_example_data(2)
results = pb2gen(df.cell_1, df.cell_2, trim_mean, tr)
pickle.dump(results, open("hypothesize/tests/test_data/pb2gen.pkl", "wb"))
def pkl_linconb():
np.random.seed(42)
df = create_example_data(3)
results = linconb(df, con1way(3))
pickle.dump(results, open("hypothesize/tests/test_data/linconb.pkl", "wb"))
def pkl_winall():
np.random.seed(42)
df = create_example_data(3)
results = winall(df)
pickle.dump(results, open("hypothesize/tests/test_data/winall.pkl", "wb"))
def pkl_corb():
np.random.seed(42)
df = create_example_data(2)
results = corb(wincor, df.cell_1, df.cell_2, alpha, nboot, tr)
pickle.dump(results, open("hypothesize/tests/test_data/corb.pkl", "wb"))
def pkl_ydbt():
np.random.seed(42)
df = create_example_data(2)
results = ydbt(df.cell_1, df.cell_2)
pickle.dump(results, open("hypothesize/tests/test_data/ydbt.pkl", "wb"))
def pkl_wwmcpbt():
np.random.seed(42)
df = create_example_data(6)
results = wwmcpbt(2, 3, df, tr)
pickle.dump(results, open("hypothesize/tests/test_data/wwmcpbt.pkl", "wb"))
def pkl_spmcpi():
np.random.seed(42)
df = create_example_data(6)
results = spmcpi(2, 3, df, trim_mean, tr)
pickle.dump(results, open("hypothesize/tests/test_data/spmcpi.pkl", "wb"))
