body stringlengths 26 98.2k | body_hash int64 -9,222,864,604,528,158,000 9,221,803,474B | docstring stringlengths 1 16.8k | path stringlengths 5 230 | name stringlengths 1 96 | repository_name stringlengths 7 89 | lang stringclasses 1
value | body_without_docstring stringlengths 20 98.2k |
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def one_hot_spectrum(spec, tol, max_mz, shift=0, min_mz=0, method='max'):
"Convert spectrum peaks into on-hot-vector\n\n method: str\n 'max' take highest intensity peak within every bin.\n 'sum' take sum of all peaks within every bin.\n "
dim_vector = int(((max_mz - min_mz) / tol))
one_h... | 1,814,090,381,247,568,000 | Convert spectrum peaks into on-hot-vector
method: str
'max' take highest intensity peak within every bin.
'sum' take sum of all peaks within every bin. | matchms/old/ms_similarity_classical.py | one_hot_spectrum | matchms/old-iomega-spec2vec | python | def one_hot_spectrum(spec, tol, max_mz, shift=0, min_mz=0, method='max'):
"Convert spectrum peaks into on-hot-vector\n\n method: str\n 'max' take highest intensity peak within every bin.\n 'sum' take sum of all peaks within every bin.\n "
dim_vector = int(((max_mz - min_mz) / tol))
one_h... |
@numba.njit
def find_pairs_numba(spec1, spec2, tol, shift=0):
'Find matching pairs between two spectra.\n\n Args\n ----\n spec1 : list of tuples\n List of (mz, intensity) tuples.\n spec2 : list of tuples\n List of (mz, intensity) tuples.\n tol : float\n Tolerance. Peaks will be c... | -585,652,530,292,401,300 | Find matching pairs between two spectra.
Args
----
spec1 : list of tuples
List of (mz, intensity) tuples.
spec2 : list of tuples
List of (mz, intensity) tuples.
tol : float
Tolerance. Peaks will be considered a match when < tol appart.
shift : float, optional
Shift spectra peaks by shift. The default i... | matchms/old/ms_similarity_classical.py | find_pairs_numba | matchms/old-iomega-spec2vec | python | @numba.njit
def find_pairs_numba(spec1, spec2, tol, shift=0):
'Find matching pairs between two spectra.\n\n Args\n ----\n spec1 : list of tuples\n List of (mz, intensity) tuples.\n spec2 : list of tuples\n List of (mz, intensity) tuples.\n tol : float\n Tolerance. Peaks will be c... |
def find_pairs(spec1, spec2, tol, shift=0):
'Find matching pairs between two spectra.\n\n Args\n ----\n spec1 : list of tuples\n List of (mz, intensity) tuples.\n spec2 : list of tuples\n List of (mz, intensity) tuples.\n tol : float\n Tolerance. Peaks will be considered a match ... | 7,536,612,827,658,155,000 | Find matching pairs between two spectra.
Args
----
spec1 : list of tuples
List of (mz, intensity) tuples.
spec2 : list of tuples
List of (mz, intensity) tuples.
tol : float
Tolerance. Peaks will be considered a match when < tol appart.
shift : float, optional
Shift spectra peaks by shift. The default i... | matchms/old/ms_similarity_classical.py | find_pairs | matchms/old-iomega-spec2vec | python | def find_pairs(spec1, spec2, tol, shift=0):
'Find matching pairs between two spectra.\n\n Args\n ----\n spec1 : list of tuples\n List of (mz, intensity) tuples.\n spec2 : list of tuples\n List of (mz, intensity) tuples.\n tol : float\n Tolerance. Peaks will be considered a match ... |
def test_luminance_Newhall1943(self):
'\n Tests :func:`colour.colorimetry.luminance.luminance_Newhall1943`\n definition.\n '
self.assertAlmostEqual(luminance_Newhall1943(4.08244375), 12.550078816731881, places=7)
self.assertAlmostEqual(luminance_Newhall1943(5.39132685), 23.4812523713107... | -736,306,793,631,554,300 | Tests :func:`colour.colorimetry.luminance.luminance_Newhall1943`
definition. | colour/colorimetry/tests/test_luminance.py | test_luminance_Newhall1943 | colour-science/colour | python | def test_luminance_Newhall1943(self):
'\n Tests :func:`colour.colorimetry.luminance.luminance_Newhall1943`\n definition.\n '
self.assertAlmostEqual(luminance_Newhall1943(4.08244375), 12.550078816731881, places=7)
self.assertAlmostEqual(luminance_Newhall1943(5.39132685), 23.4812523713107... |
def test_n_dimensional_luminance_Newhall1943(self):
'\n Tests :func:`colour.colorimetry.luminance.luminance_Newhall1943`\n definition n-dimensional arrays support.\n '
V = 4.08244375
Y = luminance_Newhall1943(V)
V = np.tile(V, 6)
Y = np.tile(Y, 6)
np.testing.assert_almost_eq... | 5,203,468,696,075,416,000 | Tests :func:`colour.colorimetry.luminance.luminance_Newhall1943`
definition n-dimensional arrays support. | colour/colorimetry/tests/test_luminance.py | test_n_dimensional_luminance_Newhall1943 | colour-science/colour | python | def test_n_dimensional_luminance_Newhall1943(self):
'\n Tests :func:`colour.colorimetry.luminance.luminance_Newhall1943`\n definition n-dimensional arrays support.\n '
V = 4.08244375
Y = luminance_Newhall1943(V)
V = np.tile(V, 6)
Y = np.tile(Y, 6)
np.testing.assert_almost_eq... |
def test_domain_range_scale_luminance_Newhall1943(self):
'\n Tests :func:`colour.colorimetry.luminance.luminance_Newhall1943`\n definition domain and range scale support.\n '
Y = luminance_Newhall1943(4.08244375)
d_r = (('reference', 1, 1), (1, 0.1, 0.01), (100, 10, 1))
for (scale, ... | 5,581,548,457,223,903,000 | Tests :func:`colour.colorimetry.luminance.luminance_Newhall1943`
definition domain and range scale support. | colour/colorimetry/tests/test_luminance.py | test_domain_range_scale_luminance_Newhall1943 | colour-science/colour | python | def test_domain_range_scale_luminance_Newhall1943(self):
'\n Tests :func:`colour.colorimetry.luminance.luminance_Newhall1943`\n definition domain and range scale support.\n '
Y = luminance_Newhall1943(4.08244375)
d_r = (('reference', 1, 1), (1, 0.1, 0.01), (100, 10, 1))
for (scale, ... |
@ignore_numpy_errors
def test_nan_luminance_Newhall1943(self):
'\n Tests :func:`colour.colorimetry.luminance.luminance_Newhall1943`\n definition nan support.\n '
luminance_Newhall1943(np.array([(- 1.0), 0.0, 1.0, (- np.inf), np.inf, np.nan])) | 6,877,471,335,887,002,000 | Tests :func:`colour.colorimetry.luminance.luminance_Newhall1943`
definition nan support. | colour/colorimetry/tests/test_luminance.py | test_nan_luminance_Newhall1943 | colour-science/colour | python | @ignore_numpy_errors
def test_nan_luminance_Newhall1943(self):
'\n Tests :func:`colour.colorimetry.luminance.luminance_Newhall1943`\n definition nan support.\n '
luminance_Newhall1943(np.array([(- 1.0), 0.0, 1.0, (- np.inf), np.inf, np.nan])) |
def test_luminance_ASTMD1535(self):
'\n Tests :func:`colour.colorimetry.luminance.luminance_ASTMD1535`\n definition.\n '
self.assertAlmostEqual(luminance_ASTMD1535(4.08244375), 12.236342675366036, places=7)
self.assertAlmostEqual(luminance_ASTMD1535(5.39132685), 22.893999867280378, plac... | 3,155,344,833,414,839,000 | Tests :func:`colour.colorimetry.luminance.luminance_ASTMD1535`
definition. | colour/colorimetry/tests/test_luminance.py | test_luminance_ASTMD1535 | colour-science/colour | python | def test_luminance_ASTMD1535(self):
'\n Tests :func:`colour.colorimetry.luminance.luminance_ASTMD1535`\n definition.\n '
self.assertAlmostEqual(luminance_ASTMD1535(4.08244375), 12.236342675366036, places=7)
self.assertAlmostEqual(luminance_ASTMD1535(5.39132685), 22.893999867280378, plac... |
def test_n_dimensional_luminance_ASTMD1535(self):
'\n Tests :func:`colour.colorimetry.luminance.luminance_ASTMD1535`\n definition n-dimensional arrays support.\n '
V = 4.08244375
Y = luminance_ASTMD1535(V)
V = np.tile(V, 6)
Y = np.tile(Y, 6)
np.testing.assert_almost_equal(lu... | -2,494,964,820,007,343,000 | Tests :func:`colour.colorimetry.luminance.luminance_ASTMD1535`
definition n-dimensional arrays support. | colour/colorimetry/tests/test_luminance.py | test_n_dimensional_luminance_ASTMD1535 | colour-science/colour | python | def test_n_dimensional_luminance_ASTMD1535(self):
'\n Tests :func:`colour.colorimetry.luminance.luminance_ASTMD1535`\n definition n-dimensional arrays support.\n '
V = 4.08244375
Y = luminance_ASTMD1535(V)
V = np.tile(V, 6)
Y = np.tile(Y, 6)
np.testing.assert_almost_equal(lu... |
def test_domain_range_scale_luminance_ASTMD1535(self):
'\n Tests :func:`colour.colorimetry.luminance.luminance_ASTMD1535`\n definition domain and range scale support.\n '
Y = luminance_ASTMD1535(4.08244375)
d_r = (('reference', 1, 1), (1, 0.1, 0.01), (100, 10, 1))
for (scale, factor... | 2,091,237,208,208,237,600 | Tests :func:`colour.colorimetry.luminance.luminance_ASTMD1535`
definition domain and range scale support. | colour/colorimetry/tests/test_luminance.py | test_domain_range_scale_luminance_ASTMD1535 | colour-science/colour | python | def test_domain_range_scale_luminance_ASTMD1535(self):
'\n Tests :func:`colour.colorimetry.luminance.luminance_ASTMD1535`\n definition domain and range scale support.\n '
Y = luminance_ASTMD1535(4.08244375)
d_r = (('reference', 1, 1), (1, 0.1, 0.01), (100, 10, 1))
for (scale, factor... |
@ignore_numpy_errors
def test_nan_luminance_ASTMD1535(self):
'\n Tests :func:`colour.colorimetry.luminance.luminance_ASTMD1535`\n definition nan support.\n '
luminance_ASTMD1535(np.array([(- 1.0), 0.0, 1.0, (- np.inf), np.inf, np.nan])) | -4,567,697,865,482,675,700 | Tests :func:`colour.colorimetry.luminance.luminance_ASTMD1535`
definition nan support. | colour/colorimetry/tests/test_luminance.py | test_nan_luminance_ASTMD1535 | colour-science/colour | python | @ignore_numpy_errors
def test_nan_luminance_ASTMD1535(self):
'\n Tests :func:`colour.colorimetry.luminance.luminance_ASTMD1535`\n definition nan support.\n '
luminance_ASTMD1535(np.array([(- 1.0), 0.0, 1.0, (- np.inf), np.inf, np.nan])) |
def test_intermediate_luminance_function_CIE1976(self):
'\n Tests :func:`colour.colorimetry.luminance.intermediate_luminance_function_CIE1976` definition.\n '
self.assertAlmostEqual(intermediate_luminance_function_CIE1976(0.495929964178047), 12.197225350000002, places=7)
self.assertAlmostEqual... | -8,593,939,569,209,062,000 | Tests :func:`colour.colorimetry.luminance.intermediate_luminance_function_CIE1976` definition. | colour/colorimetry/tests/test_luminance.py | test_intermediate_luminance_function_CIE1976 | colour-science/colour | python | def test_intermediate_luminance_function_CIE1976(self):
'\n \n '
self.assertAlmostEqual(intermediate_luminance_function_CIE1976(0.495929964178047), 12.197225350000002, places=7)
self.assertAlmostEqual(intermediate_luminance_function_CIE1976(0.613072093530391), 23.042767810000004, places=7)
... |
def test_n_dimensional_intermediate_luminance_function_CIE1976(self):
'\n Tests :func:`colour.colorimetry.luminance.intermediate_luminance_function_CIE1976` definition n-dimensional arrays\nsupport.\n '
f_Y_Y_n = 0.495929964178047
Y = intermediate_luminance_function_CIE1976(f_Y_Y_n)
f_Y_Y_... | 2,127,797,802,917,290,200 | Tests :func:`colour.colorimetry.luminance.intermediate_luminance_function_CIE1976` definition n-dimensional arrays
support. | colour/colorimetry/tests/test_luminance.py | test_n_dimensional_intermediate_luminance_function_CIE1976 | colour-science/colour | python | def test_n_dimensional_intermediate_luminance_function_CIE1976(self):
'\n Tests :func:`colour.colorimetry.luminance.intermediate_luminance_function_CIE1976` definition n-dimensional arrays\nsupport.\n '
f_Y_Y_n = 0.495929964178047
Y = intermediate_luminance_function_CIE1976(f_Y_Y_n)
f_Y_Y_... |
def test_domain_range_scale_intermediate_luminance_function_CIE1976(self):
'\n Tests :func:`colour.colorimetry.luminance.intermediate_luminance_function_CIE1976` definition domain and range scale\nsupport.\n '
Y = intermediate_luminance_function_CIE1976(41.52787584465345, 100)
for scale in ('r... | 3,596,112,416,605,083,600 | Tests :func:`colour.colorimetry.luminance.intermediate_luminance_function_CIE1976` definition domain and range scale
support. | colour/colorimetry/tests/test_luminance.py | test_domain_range_scale_intermediate_luminance_function_CIE1976 | colour-science/colour | python | def test_domain_range_scale_intermediate_luminance_function_CIE1976(self):
'\n Tests :func:`colour.colorimetry.luminance.intermediate_luminance_function_CIE1976` definition domain and range scale\nsupport.\n '
Y = intermediate_luminance_function_CIE1976(41.52787584465345, 100)
for scale in ('r... |
@ignore_numpy_errors
def test_nan_intermediate_luminance_function_CIE1976(self):
'\n Tests :func:`colour.colorimetry.luminance.intermediate_luminance_function_CIE1976` definition nan support.\n '
intermediate_luminance_function_CIE1976(np.array([(- 1.0), 0.0, 1.0, (- np.inf), np.inf, np.nan])) | 2,110,462,359,493,447,400 | Tests :func:`colour.colorimetry.luminance.intermediate_luminance_function_CIE1976` definition nan support. | colour/colorimetry/tests/test_luminance.py | test_nan_intermediate_luminance_function_CIE1976 | colour-science/colour | python | @ignore_numpy_errors
def test_nan_intermediate_luminance_function_CIE1976(self):
'\n \n '
intermediate_luminance_function_CIE1976(np.array([(- 1.0), 0.0, 1.0, (- np.inf), np.inf, np.nan])) |
def test_luminance_CIE1976(self):
'\n Tests :func:`colour.colorimetry.luminance.luminance_CIE1976`\n definition.\n '
self.assertAlmostEqual(luminance_CIE1976(41.52787584465345), 12.197225350000002, places=7)
self.assertAlmostEqual(luminance_CIE1976(55.1163628495254), 23.042767810000004,... | -1,002,988,854,156,116,400 | Tests :func:`colour.colorimetry.luminance.luminance_CIE1976`
definition. | colour/colorimetry/tests/test_luminance.py | test_luminance_CIE1976 | colour-science/colour | python | def test_luminance_CIE1976(self):
'\n Tests :func:`colour.colorimetry.luminance.luminance_CIE1976`\n definition.\n '
self.assertAlmostEqual(luminance_CIE1976(41.52787584465345), 12.197225350000002, places=7)
self.assertAlmostEqual(luminance_CIE1976(55.1163628495254), 23.042767810000004,... |
def test_n_dimensional_luminance_CIE1976(self):
'\n Tests :func:`colour.colorimetry.luminance.luminance_CIE1976`\n definition n-dimensional arrays support.\n '
L_star = 41.52787584465345
Y = luminance_CIE1976(L_star)
L_star = np.tile(L_star, 6)
Y = np.tile(Y, 6)
np.testing.a... | 7,505,105,724,595,458,000 | Tests :func:`colour.colorimetry.luminance.luminance_CIE1976`
definition n-dimensional arrays support. | colour/colorimetry/tests/test_luminance.py | test_n_dimensional_luminance_CIE1976 | colour-science/colour | python | def test_n_dimensional_luminance_CIE1976(self):
'\n Tests :func:`colour.colorimetry.luminance.luminance_CIE1976`\n definition n-dimensional arrays support.\n '
L_star = 41.52787584465345
Y = luminance_CIE1976(L_star)
L_star = np.tile(L_star, 6)
Y = np.tile(Y, 6)
np.testing.a... |
def test_domain_range_scale_luminance_CIE1976(self):
'\n Tests :func:`colour.colorimetry.luminance.luminance_CIE1976`\n definition domain and range scale support.\n '
Y = luminance_CIE1976(41.52787584465345, 100)
d_r = (('reference', 1), (1, 0.01), (100, 1))
for (scale, factor) in d... | 4,783,930,150,008,546,000 | Tests :func:`colour.colorimetry.luminance.luminance_CIE1976`
definition domain and range scale support. | colour/colorimetry/tests/test_luminance.py | test_domain_range_scale_luminance_CIE1976 | colour-science/colour | python | def test_domain_range_scale_luminance_CIE1976(self):
'\n Tests :func:`colour.colorimetry.luminance.luminance_CIE1976`\n definition domain and range scale support.\n '
Y = luminance_CIE1976(41.52787584465345, 100)
d_r = (('reference', 1), (1, 0.01), (100, 1))
for (scale, factor) in d... |
@ignore_numpy_errors
def test_nan_luminance_CIE1976(self):
'\n Tests :func:`colour.colorimetry.luminance.luminance_CIE1976`\n definition nan support.\n '
luminance_CIE1976(np.array([(- 1.0), 0.0, 1.0, (- np.inf), np.inf, np.nan])) | -7,773,002,042,440,529,000 | Tests :func:`colour.colorimetry.luminance.luminance_CIE1976`
definition nan support. | colour/colorimetry/tests/test_luminance.py | test_nan_luminance_CIE1976 | colour-science/colour | python | @ignore_numpy_errors
def test_nan_luminance_CIE1976(self):
'\n Tests :func:`colour.colorimetry.luminance.luminance_CIE1976`\n definition nan support.\n '
luminance_CIE1976(np.array([(- 1.0), 0.0, 1.0, (- np.inf), np.inf, np.nan])) |
def test_luminance_Fairchild2010(self):
'\n Tests :func:`colour.colorimetry.luminance.luminance_Fairchild2010`\n definition.\n '
self.assertAlmostEqual(luminance_Fairchild2010(31.996390226262736), 0.12197225350000002, places=7)
self.assertAlmostEqual(luminance_Fairchild2010(60.203153682... | 1,798,259,972,739,209,000 | Tests :func:`colour.colorimetry.luminance.luminance_Fairchild2010`
definition. | colour/colorimetry/tests/test_luminance.py | test_luminance_Fairchild2010 | colour-science/colour | python | def test_luminance_Fairchild2010(self):
'\n Tests :func:`colour.colorimetry.luminance.luminance_Fairchild2010`\n definition.\n '
self.assertAlmostEqual(luminance_Fairchild2010(31.996390226262736), 0.12197225350000002, places=7)
self.assertAlmostEqual(luminance_Fairchild2010(60.203153682... |
def test_n_dimensional_luminance_Fairchild2010(self):
'\n Tests :func:`colour.colorimetry.luminance.luminance_Fairchild2010`\n definition n-dimensional arrays support.\n '
L_hdr = 31.996390226262736
Y = luminance_Fairchild2010(L_hdr)
L_hdr = np.tile(L_hdr, 6)
Y = np.tile(Y, 6)
... | 2,102,488,940,524,924,200 | Tests :func:`colour.colorimetry.luminance.luminance_Fairchild2010`
definition n-dimensional arrays support. | colour/colorimetry/tests/test_luminance.py | test_n_dimensional_luminance_Fairchild2010 | colour-science/colour | python | def test_n_dimensional_luminance_Fairchild2010(self):
'\n Tests :func:`colour.colorimetry.luminance.luminance_Fairchild2010`\n definition n-dimensional arrays support.\n '
L_hdr = 31.996390226262736
Y = luminance_Fairchild2010(L_hdr)
L_hdr = np.tile(L_hdr, 6)
Y = np.tile(Y, 6)
... |
def test_domain_range_scale_luminance_Fairchild2010(self):
'\n Tests :func:`colour.colorimetry.luminance.luminance_Fairchild2010`\n definition domain and range scale support.\n '
Y = luminance_Fairchild2010(31.996390226262736)
d_r = (('reference', 1, 1), (1, 0.01, 1), (100, 1, 100))
... | 809,370,376,535,667,800 | Tests :func:`colour.colorimetry.luminance.luminance_Fairchild2010`
definition domain and range scale support. | colour/colorimetry/tests/test_luminance.py | test_domain_range_scale_luminance_Fairchild2010 | colour-science/colour | python | def test_domain_range_scale_luminance_Fairchild2010(self):
'\n Tests :func:`colour.colorimetry.luminance.luminance_Fairchild2010`\n definition domain and range scale support.\n '
Y = luminance_Fairchild2010(31.996390226262736)
d_r = (('reference', 1, 1), (1, 0.01, 1), (100, 1, 100))
... |
@ignore_numpy_errors
def test_nan_luminance_Fairchild2010(self):
'\n Tests :func:`colour.colorimetry.luminance.luminance_Fairchild2010`\n definition nan support.\n '
luminance_Fairchild2010(np.array([(- 1.0), 0.0, 1.0, (- np.inf), np.inf, np.nan])) | -6,002,254,242,590,914,000 | Tests :func:`colour.colorimetry.luminance.luminance_Fairchild2010`
definition nan support. | colour/colorimetry/tests/test_luminance.py | test_nan_luminance_Fairchild2010 | colour-science/colour | python | @ignore_numpy_errors
def test_nan_luminance_Fairchild2010(self):
'\n Tests :func:`colour.colorimetry.luminance.luminance_Fairchild2010`\n definition nan support.\n '
luminance_Fairchild2010(np.array([(- 1.0), 0.0, 1.0, (- np.inf), np.inf, np.nan])) |
def test_luminance_Fairchild2011(self):
'\n Tests :func:`colour.colorimetry.luminance.luminance_Fairchild2011`\n definition.\n '
self.assertAlmostEqual(luminance_Fairchild2011(51.852958445912506), 0.12197225350000007, places=7)
self.assertAlmostEqual(luminance_Fairchild2011(65.275207956... | -6,578,291,207,390,475,000 | Tests :func:`colour.colorimetry.luminance.luminance_Fairchild2011`
definition. | colour/colorimetry/tests/test_luminance.py | test_luminance_Fairchild2011 | colour-science/colour | python | def test_luminance_Fairchild2011(self):
'\n Tests :func:`colour.colorimetry.luminance.luminance_Fairchild2011`\n definition.\n '
self.assertAlmostEqual(luminance_Fairchild2011(51.852958445912506), 0.12197225350000007, places=7)
self.assertAlmostEqual(luminance_Fairchild2011(65.275207956... |
def test_n_dimensional_luminance_Fairchild2011(self):
'\n Tests :func:`colour.colorimetry.luminance.luminance_Fairchild2011`\n definition n-dimensional arrays support.\n '
L_hdr = 51.852958445912506
Y = luminance_Fairchild2011(L_hdr)
L_hdr = np.tile(L_hdr, 6)
Y = np.tile(Y, 6)
... | 6,717,249,832,600,971,000 | Tests :func:`colour.colorimetry.luminance.luminance_Fairchild2011`
definition n-dimensional arrays support. | colour/colorimetry/tests/test_luminance.py | test_n_dimensional_luminance_Fairchild2011 | colour-science/colour | python | def test_n_dimensional_luminance_Fairchild2011(self):
'\n Tests :func:`colour.colorimetry.luminance.luminance_Fairchild2011`\n definition n-dimensional arrays support.\n '
L_hdr = 51.852958445912506
Y = luminance_Fairchild2011(L_hdr)
L_hdr = np.tile(L_hdr, 6)
Y = np.tile(Y, 6)
... |
def test_domain_range_scale_luminance_Fairchild2011(self):
'\n Tests :func:`colour.colorimetry.luminance.luminance_Fairchild2011`\n definition domain and range scale support.\n '
Y = luminance_Fairchild2011(26.459509817572265)
d_r = (('reference', 1, 1), (1, 0.01, 1), (100, 1, 100))
... | -2,623,130,738,909,725,000 | Tests :func:`colour.colorimetry.luminance.luminance_Fairchild2011`
definition domain and range scale support. | colour/colorimetry/tests/test_luminance.py | test_domain_range_scale_luminance_Fairchild2011 | colour-science/colour | python | def test_domain_range_scale_luminance_Fairchild2011(self):
'\n Tests :func:`colour.colorimetry.luminance.luminance_Fairchild2011`\n definition domain and range scale support.\n '
Y = luminance_Fairchild2011(26.459509817572265)
d_r = (('reference', 1, 1), (1, 0.01, 1), (100, 1, 100))
... |
@ignore_numpy_errors
def test_nan_luminance_Fairchild2011(self):
'\n Tests :func:`colour.colorimetry.luminance.luminance_Fairchild2011`\n definition nan support.\n '
luminance_Fairchild2011(np.array([(- 1.0), 0.0, 1.0, (- np.inf), np.inf, np.nan])) | 1,113,389,581,187,477,100 | Tests :func:`colour.colorimetry.luminance.luminance_Fairchild2011`
definition nan support. | colour/colorimetry/tests/test_luminance.py | test_nan_luminance_Fairchild2011 | colour-science/colour | python | @ignore_numpy_errors
def test_nan_luminance_Fairchild2011(self):
'\n Tests :func:`colour.colorimetry.luminance.luminance_Fairchild2011`\n definition nan support.\n '
luminance_Fairchild2011(np.array([(- 1.0), 0.0, 1.0, (- np.inf), np.inf, np.nan])) |
def test_luminance_Abebe2017(self):
'\n Tests :func:`colour.colorimetry.luminance.luminance_Abebe2017`\n definition.\n '
self.assertAlmostEqual(luminance_Abebe2017(0.486955571109229), 12.197225350000004, places=7)
self.assertAlmostEqual(luminance_Abebe2017(0.474544792145434, method='Ste... | -1,243,341,332,770,816,800 | Tests :func:`colour.colorimetry.luminance.luminance_Abebe2017`
definition. | colour/colorimetry/tests/test_luminance.py | test_luminance_Abebe2017 | colour-science/colour | python | def test_luminance_Abebe2017(self):
'\n Tests :func:`colour.colorimetry.luminance.luminance_Abebe2017`\n definition.\n '
self.assertAlmostEqual(luminance_Abebe2017(0.486955571109229), 12.197225350000004, places=7)
self.assertAlmostEqual(luminance_Abebe2017(0.474544792145434, method='Ste... |
def test_n_dimensional_luminance_Abebe2017(self):
'\n Tests :func:`colour.colorimetry.luminance.luminance_Abebe2017`\n definition n-dimensional arrays support.\n '
L = 0.486955571109229
Y = luminance_Abebe2017(L)
L = np.tile(L, 6)
Y = np.tile(Y, 6)
np.testing.assert_almost_e... | -34,476,846,152,246,280 | Tests :func:`colour.colorimetry.luminance.luminance_Abebe2017`
definition n-dimensional arrays support. | colour/colorimetry/tests/test_luminance.py | test_n_dimensional_luminance_Abebe2017 | colour-science/colour | python | def test_n_dimensional_luminance_Abebe2017(self):
'\n Tests :func:`colour.colorimetry.luminance.luminance_Abebe2017`\n definition n-dimensional arrays support.\n '
L = 0.486955571109229
Y = luminance_Abebe2017(L)
L = np.tile(L, 6)
Y = np.tile(Y, 6)
np.testing.assert_almost_e... |
def test_domain_range_scale_luminance_Abebe2017(self):
'\n Tests :func:`colour.colorimetry.luminance.luminance_Abebe2017`\n definition domain and range scale support.\n '
L = luminance_Abebe2017(0.486955571109229)
d_r = (('reference', 1), (1, 1), (100, 1))
for (scale, factor) in d_r... | -7,023,710,118,789,896,000 | Tests :func:`colour.colorimetry.luminance.luminance_Abebe2017`
definition domain and range scale support. | colour/colorimetry/tests/test_luminance.py | test_domain_range_scale_luminance_Abebe2017 | colour-science/colour | python | def test_domain_range_scale_luminance_Abebe2017(self):
'\n Tests :func:`colour.colorimetry.luminance.luminance_Abebe2017`\n definition domain and range scale support.\n '
L = luminance_Abebe2017(0.486955571109229)
d_r = (('reference', 1), (1, 1), (100, 1))
for (scale, factor) in d_r... |
@ignore_numpy_errors
def test_nan_luminance_Abebe2017(self):
'\n Tests :func:`colour.colorimetry.luminance.luminance_Abebe2017`\n definition nan support.\n '
luminance_Abebe2017(*([np.array([(- 1.0), 0.0, 1.0, (- np.inf), np.inf, np.nan])] * 2)) | -9,052,423,624,516,112,000 | Tests :func:`colour.colorimetry.luminance.luminance_Abebe2017`
definition nan support. | colour/colorimetry/tests/test_luminance.py | test_nan_luminance_Abebe2017 | colour-science/colour | python | @ignore_numpy_errors
def test_nan_luminance_Abebe2017(self):
'\n Tests :func:`colour.colorimetry.luminance.luminance_Abebe2017`\n definition nan support.\n '
luminance_Abebe2017(*([np.array([(- 1.0), 0.0, 1.0, (- np.inf), np.inf, np.nan])] * 2)) |
def test_domain_range_scale_luminance(self):
'\n Tests :func:`colour.colorimetry.luminance.luminance` definition\n domain and range scale support.\n '
m = ('Newhall 1943', 'ASTM D1535', 'CIE 1976', 'Fairchild 2010', 'Fairchild 2011', 'Abebe 2017')
v = [luminance(41.52787584465345, metho... | 1,611,610,559,232,723,500 | Tests :func:`colour.colorimetry.luminance.luminance` definition
domain and range scale support. | colour/colorimetry/tests/test_luminance.py | test_domain_range_scale_luminance | colour-science/colour | python | def test_domain_range_scale_luminance(self):
'\n Tests :func:`colour.colorimetry.luminance.luminance` definition\n domain and range scale support.\n '
m = ('Newhall 1943', 'ASTM D1535', 'CIE 1976', 'Fairchild 2010', 'Fairchild 2011', 'Abebe 2017')
v = [luminance(41.52787584465345, metho... |
async def cb_nr_subscription_handler(msg: nats.aio.client.Msg):
'Use Callback to process Queue Msg objects.'
try:
logger.info('Received raw message seq:%s, data= %s', msg.sequence, msg.data.decode())
event_message = json.loads(msg.data.decode('utf-8'))
logger.debug('Event Message Receiv... | -2,828,123,328,637,019,600 | Use Callback to process Queue Msg objects. | queue_services/business-events-listener/src/business_events_listener/worker.py | cb_nr_subscription_handler | saravanpa-aot/sbc-auth | python | async def cb_nr_subscription_handler(msg: nats.aio.client.Msg):
try:
logger.info('Received raw message seq:%s, data= %s', msg.sequence, msg.data.decode())
event_message = json.loads(msg.data.decode('utf-8'))
logger.debug('Event Message Received: %s', event_message)
(await proce... |
async def process_event(event_message, flask_app):
'Render the org status.'
if (not flask_app):
raise QueueException('Flask App not available.')
with flask_app.app_context():
message_type = event_message.get('type', None)
if (message_type == 'bc.registry.names.events'):
(... | 1,129,332,888,272,081,300 | Render the org status. | queue_services/business-events-listener/src/business_events_listener/worker.py | process_event | saravanpa-aot/sbc-auth | python | async def process_event(event_message, flask_app):
if (not flask_app):
raise QueueException('Flask App not available.')
with flask_app.app_context():
message_type = event_message.get('type', None)
if (message_type == 'bc.registry.names.events'):
(await process_name_event... |
async def process_name_events(event_message: Dict[(str, any)]):
"Process name events.\n\n 1. Check if the NR already exists in entities table, if yes apply changes. If not create entity record.\n 2. Check if new status is DRAFT, if yes call pay-api and get the account details for the payments against the NR.\... | 162,389,578,599,781,470 | Process name events.
1. Check if the NR already exists in entities table, if yes apply changes. If not create entity record.
2. Check if new status is DRAFT, if yes call pay-api and get the account details for the payments against the NR.
3. If an account is found, affiliate to that account.
Args:
event_message (... | queue_services/business-events-listener/src/business_events_listener/worker.py | process_name_events | saravanpa-aot/sbc-auth | python | async def process_name_events(event_message: Dict[(str, any)]):
"Process name events.\n\n 1. Check if the NR already exists in entities table, if yes apply changes. If not create entity record.\n 2. Check if new status is DRAFT, if yes call pay-api and get the account details for the payments against the NR.\... |
def set_optional_property(destination, source, prop_name):
' Copies the property value if present. '
if (prop_name in source):
destination[prop_name] = source[prop_name] | -650,095,351,457,198,500 | Copies the property value if present. | dm/templates/external_load_balancer/external_load_balancer.py | set_optional_property | Dileepbodapati/cloud-foundation-toolkit | python | def set_optional_property(destination, source, prop_name):
' '
if (prop_name in source):
destination[prop_name] = source[prop_name] |
def get_backend_service(properties, backend_spec, res_name, project_id):
' Creates the backend service. '
name = backend_spec.get('resourceName', res_name)
backend_name = backend_spec.get('name', name)
backend_properties = {'name': backend_name, 'project': project_id, 'loadBalancingScheme': 'EXTERNAL', ... | -7,261,856,017,208,346,000 | Creates the backend service. | dm/templates/external_load_balancer/external_load_balancer.py | get_backend_service | Dileepbodapati/cloud-foundation-toolkit | python | def get_backend_service(properties, backend_spec, res_name, project_id):
' '
name = backend_spec.get('resourceName', res_name)
backend_name = backend_spec.get('name', name)
backend_properties = {'name': backend_name, 'project': project_id, 'loadBalancingScheme': 'EXTERNAL', 'protocol': get_protocol(pro... |
def get_forwarding_rule(properties, target, res_name, project_id):
' Creates the forwarding rule. '
name = '{}-forwarding-rule'.format(res_name)
rule_properties = {'name': properties.get('name', res_name), 'project': project_id, 'loadBalancingScheme': 'EXTERNAL', 'target': '$(ref.{}.selfLink)'.format(target... | 8,396,629,647,795,001,000 | Creates the forwarding rule. | dm/templates/external_load_balancer/external_load_balancer.py | get_forwarding_rule | Dileepbodapati/cloud-foundation-toolkit | python | def get_forwarding_rule(properties, target, res_name, project_id):
' '
name = '{}-forwarding-rule'.format(res_name)
rule_properties = {'name': properties.get('name', res_name), 'project': project_id, 'loadBalancingScheme': 'EXTERNAL', 'target': '$(ref.{}.selfLink)'.format(target['name']), 'IPProtocol': 'TC... |
def get_backend_services(properties, res_name, project_id):
' Creates all backend services to be used by the load balancer. '
backend_resources = []
backend_outputs_map = {'backendServiceName': [], 'backendServiceSelfLink': []}
backend_specs = properties['backendServices']
for backend_spec in backen... | -5,058,733,043,978,881,000 | Creates all backend services to be used by the load balancer. | dm/templates/external_load_balancer/external_load_balancer.py | get_backend_services | Dileepbodapati/cloud-foundation-toolkit | python | def get_backend_services(properties, res_name, project_id):
' '
backend_resources = []
backend_outputs_map = {'backendServiceName': [], 'backendServiceSelfLink': []}
backend_specs = properties['backendServices']
for backend_spec in backend_specs:
backend_res_name = '{}-backend-service-{}'.f... |
def get_ref(name, prop='selfLink'):
' Creates reference to a property of a given resource. '
return '$(ref.{}.{})'.format(name, prop) | 2,922,289,469,912,184,000 | Creates reference to a property of a given resource. | dm/templates/external_load_balancer/external_load_balancer.py | get_ref | Dileepbodapati/cloud-foundation-toolkit | python | def get_ref(name, prop='selfLink'):
' '
return '$(ref.{}.{})'.format(name, prop) |
def update_refs_recursively(properties):
' Replaces service names with the service selflinks recursively. '
for prop in properties:
value = properties[prop]
if ((prop == 'defaultService') or (prop == 'service')):
is_regular_name = ((not ('.' in value)) and (not ('/' in value)))
... | -6,272,683,023,836,831,000 | Replaces service names with the service selflinks recursively. | dm/templates/external_load_balancer/external_load_balancer.py | update_refs_recursively | Dileepbodapati/cloud-foundation-toolkit | python | def update_refs_recursively(properties):
' '
for prop in properties:
value = properties[prop]
if ((prop == 'defaultService') or (prop == 'service')):
is_regular_name = ((not ('.' in value)) and (not ('/' in value)))
if is_regular_name:
properties[prop] = ... |
def get_url_map(properties, res_name, project_id):
' Creates a UrlMap resource. '
spec = copy.deepcopy(properties)
spec['project'] = project_id
spec['name'] = properties.get('name', res_name)
update_refs_recursively(spec)
resource = {'name': res_name, 'type': 'url_map.py', 'properties': spec}
... | -2,892,676,959,789,977,000 | Creates a UrlMap resource. | dm/templates/external_load_balancer/external_load_balancer.py | get_url_map | Dileepbodapati/cloud-foundation-toolkit | python | def get_url_map(properties, res_name, project_id):
' '
spec = copy.deepcopy(properties)
spec['project'] = project_id
spec['name'] = properties.get('name', res_name)
update_refs_recursively(spec)
resource = {'name': res_name, 'type': 'url_map.py', 'properties': spec}
self_link = '$(ref.{}.se... |
def get_target_proxy(properties, res_name, project_id, bs_resources):
' Creates a target proxy resource. '
protocol = get_protocol(properties)
depends = []
if ('HTTP' in protocol):
urlMap = copy.deepcopy(properties['urlMap'])
if (('name' not in urlMap) and ('name' in properties)):
... | -7,372,446,502,140,090,000 | Creates a target proxy resource. | dm/templates/external_load_balancer/external_load_balancer.py | get_target_proxy | Dileepbodapati/cloud-foundation-toolkit | python | def get_target_proxy(properties, res_name, project_id, bs_resources):
' '
protocol = get_protocol(properties)
depends = []
if ('HTTP' in protocol):
urlMap = copy.deepcopy(properties['urlMap'])
if (('name' not in urlMap) and ('name' in properties)):
urlMap['name'] = '{}-url-m... |
def get_protocol(properties):
' Finds what network protocol to use. '
is_web = ('urlMap' in properties)
is_secure = ('ssl' in properties)
if is_web:
if is_secure:
return 'HTTPS'
return 'HTTP'
if is_secure:
return 'SSL'
return 'TCP' | -4,319,831,524,416,239,600 | Finds what network protocol to use. | dm/templates/external_load_balancer/external_load_balancer.py | get_protocol | Dileepbodapati/cloud-foundation-toolkit | python | def get_protocol(properties):
' '
is_web = ('urlMap' in properties)
is_secure = ('ssl' in properties)
if is_web:
if is_secure:
return 'HTTPS'
return 'HTTP'
if is_secure:
return 'SSL'
return 'TCP' |
def generate_config(context):
' Entry point for the deployment resources. '
properties = context.properties
project_id = properties.get('project', context.env['project'])
(bs_resources, bs_outputs) = get_backend_services(properties, context.env['name'], project_id)
(target_resources, target_outputs)... | -5,912,626,140,741,447,000 | Entry point for the deployment resources. | dm/templates/external_load_balancer/external_load_balancer.py | generate_config | Dileepbodapati/cloud-foundation-toolkit | python | def generate_config(context):
' '
properties = context.properties
project_id = properties.get('project', context.env['project'])
(bs_resources, bs_outputs) = get_backend_services(properties, context.env['name'], project_id)
(target_resources, target_outputs) = get_target_proxy(properties, context.e... |
def get_current_arch():
' Try to get the architecture for the current platform '
if sys.platform.startswith('win'):
machine = platform.machine()
if (machine == 'AMD64'):
return get_arch('x86_64:wincc')
elif (sys.platform in ('linux', 'darwin')):
if (platform.architecture(... | -3,940,666,364,675,064,000 | Try to get the architecture for the current platform | ppci/arch/__init__.py | get_current_arch | darleybarreto/ppci-mirror | python | def get_current_arch():
' '
if sys.platform.startswith('win'):
machine = platform.machine()
if (machine == 'AMD64'):
return get_arch('x86_64:wincc')
elif (sys.platform in ('linux', 'darwin')):
if (platform.architecture()[0] == '64bit'):
return get_arch('x86_6... |
def get_arch(arch):
"Try to return an architecture instance.\n\n Args:\n arch: can be a string in the form of arch:option1:option2\n\n .. doctest::\n\n >>> from ppci.api import get_arch\n >>> arch = get_arch('msp430')\n >>> arch\n msp430-arch\n >>> type(arch)\n ... | -2,377,674,193,364,040,700 | Try to return an architecture instance.
Args:
arch: can be a string in the form of arch:option1:option2
.. doctest::
>>> from ppci.api import get_arch
>>> arch = get_arch('msp430')
>>> arch
msp430-arch
>>> type(arch)
<class 'ppci.arch.msp430.arch.Msp430Arch'> | ppci/arch/__init__.py | get_arch | darleybarreto/ppci-mirror | python | def get_arch(arch):
"Try to return an architecture instance.\n\n Args:\n arch: can be a string in the form of arch:option1:option2\n\n .. doctest::\n\n >>> from ppci.api import get_arch\n >>> arch = get_arch('msp430')\n >>> arch\n msp430-arch\n >>> type(arch)\n ... |
def test_ComposedBool(self):
'Test ComposedBool'
pass | 1,148,415,783,762,149,200 | Test ComposedBool | samples/openapi3/client/petstore/python-experimental/test/test_composed_bool.py | test_ComposedBool | AndreasA/openapi-generator | python | def test_ComposedBool(self):
pass |
def __init__(self, ray_trafo, callback_func=None, callback_func_interval=100, show_pbar=True, torch_manual_seed=10, **kwargs):
'\n Parameters\n ----------\n ray_trafo : `odl.tomo.operators.RayTransform`\n The forward operator\n callback_func : callable, optional\n C... | -4,383,685,644,072,515,000 | Parameters
----------
ray_trafo : `odl.tomo.operators.RayTransform`
The forward operator
callback_func : callable, optional
Callable with signature
``callback_func(iteration, reconstruction, loss)`` that is called
after every `callback_func_interval` iterations, starting
after the first iteration. I... | dival/reconstructors/dip_ct_reconstructor.py | __init__ | MBaltz/dival | python | def __init__(self, ray_trafo, callback_func=None, callback_func_interval=100, show_pbar=True, torch_manual_seed=10, **kwargs):
'\n Parameters\n ----------\n ray_trafo : `odl.tomo.operators.RayTransform`\n The forward operator\n callback_func : callable, optional\n C... |
def get_user_details(self, response):
'Return user details from Facebook account'
email = response.get('email')
return {'email': email, 'username': email.split('@')[0]} | 5,842,184,032,588,614,000 | Return user details from Facebook account | social_core/backends/paipass.py | get_user_details | everchain-ontech/social-core | python | def get_user_details(self, response):
email = response.get('email')
return {'email': email, 'username': email.split('@')[0]} |
def user_data(self, access_token, *args, **kwargs):
'Loads user data from service'
params = self.setting('PROFILE_EXTRA_PARAMS', {})
response = (kwargs.get('response') or {})
params['access_token'] = access_token
headers = {'Authorization': ('%s %s' % (response.get('token_type', 'Bearer').capitalize... | 7,723,685,861,222,839,000 | Loads user data from service | social_core/backends/paipass.py | user_data | everchain-ontech/social-core | python | def user_data(self, access_token, *args, **kwargs):
params = self.setting('PROFILE_EXTRA_PARAMS', {})
response = (kwargs.get('response') or {})
params['access_token'] = access_token
headers = {'Authorization': ('%s %s' % (response.get('token_type', 'Bearer').capitalize(), access_token)), 'Accept': ... |
def get_redirect_uri(self, state=None):
'Build redirect with redirect_state parameter.'
regex = re.compile('\\:(80|443)\\/')
uri = regex.sub('/', self.redirect_uri)
if (self.REDIRECT_STATE and state):
uri = url_add_parameters(uri, {'redirect_state': state})
return uri | 3,286,736,078,406,330,400 | Build redirect with redirect_state parameter. | social_core/backends/paipass.py | get_redirect_uri | everchain-ontech/social-core | python | def get_redirect_uri(self, state=None):
regex = re.compile('\\:(80|443)\\/')
uri = regex.sub('/', self.redirect_uri)
if (self.REDIRECT_STATE and state):
uri = url_add_parameters(uri, {'redirect_state': state})
return uri |
@handle_http_errors
def do_auth(self, access_token, *args, **kwargs):
'Finish the auth process once the access_token was retrieved'
data = self.user_data(access_token, *args, **kwargs)
response = (kwargs.get('response') or {})
response.update((data or {}))
if ('access_token' not in response):
... | 492,624,721,670,898,100 | Finish the auth process once the access_token was retrieved | social_core/backends/paipass.py | do_auth | everchain-ontech/social-core | python | @handle_http_errors
def do_auth(self, access_token, *args, **kwargs):
data = self.user_data(access_token, *args, **kwargs)
response = (kwargs.get('response') or {})
response.update((data or {}))
if ('access_token' not in response):
response['access_token'] = access_token
kwargs.update({... |
def __init__(self):
'\n Initialization of ConnManager\n '
logging.info('Initializing ConnmanagerMQTT')
self.__connection = UConnMQTT()
self.__message_number = random.randint(0, 65536)
self.__sent_messages = dict()
self.__callback = None
self.__callback_object = None | -5,099,143,863,538,793,000 | Initialization of ConnManager | utilities/connmanagermqtt.py | __init__ | connax-utim/uhost-micropython | python | def __init__(self):
'\n \n '
logging.info('Initializing ConnmanagerMQTT')
self.__connection = UConnMQTT()
self.__message_number = random.randint(0, 65536)
self.__sent_messages = dict()
self.__callback = None
self.__callback_object = None |
def disconnect(self):
'\n Disconnection from server\n '
logging.info('Disconnecting...')
self.__connection.disconnect() | 4,517,279,725,685,543,000 | Disconnection from server | utilities/connmanagermqtt.py | disconnect | connax-utim/uhost-micropython | python | def disconnect(self):
'\n \n '
logging.info('Disconnecting...')
self.__connection.disconnect() |
def subscribe(self, topic, callback_object, callback):
'\n Subscribe on topic\n\n :param str topic: Topic for subscription\n :param method callback: Callback for received message\n '
logging.info('Subscribing for {0}'.format(topic))
if (not callable(callback)):
raise exce... | 1,995,031,518,274,948,600 | Subscribe on topic
:param str topic: Topic for subscription
:param method callback: Callback for received message | utilities/connmanagermqtt.py | subscribe | connax-utim/uhost-micropython | python | def subscribe(self, topic, callback_object, callback):
'\n Subscribe on topic\n\n :param str topic: Topic for subscription\n :param method callback: Callback for received message\n '
logging.info('Subscribing for {0}'.format(topic))
if (not callable(callback)):
raise exce... |
def unsubscribe(self, topic):
'\n Unsubscribe from topic\n\n :param str topic: Topic for subscription cancelling\n '
logging.info('Unsubscribing from {0}'.format(topic))
self.__connection.unsubscribe(topic) | 6,705,252,433,999,876,000 | Unsubscribe from topic
:param str topic: Topic for subscription cancelling | utilities/connmanagermqtt.py | unsubscribe | connax-utim/uhost-micropython | python | def unsubscribe(self, topic):
'\n Unsubscribe from topic\n\n :param str topic: Topic for subscription cancelling\n '
logging.info('Unsubscribing from {0}'.format(topic))
self.__connection.unsubscribe(topic) |
def publish(self, sender, destination, message):
'\n Publish message\n\n :param sender: Message sender\n :param destination: Message destination\n :param message: The message\n '
id = self.__message_number
self.__message_number = ((self.__message_number + 1) % 65536)
o... | 3,824,178,535,247,461,000 | Publish message
:param sender: Message sender
:param destination: Message destination
:param message: The message | utilities/connmanagermqtt.py | publish | connax-utim/uhost-micropython | python | def publish(self, sender, destination, message):
'\n Publish message\n\n :param sender: Message sender\n :param destination: Message destination\n :param message: The message\n '
id = self.__message_number
self.__message_number = ((self.__message_number + 1) % 65536)
o... |
def _republish(self, id):
'\n Check if message was delivered and republish if not\n\n :param id: Message ID\n '
logging.info('_publish for {0} started'.format(id))
time.sleep(10)
while (id in self.__sent_messages.keys()):
try:
logging.info("Message {0} wasn't del... | -3,382,346,000,680,288,000 | Check if message was delivered and republish if not
:param id: Message ID | utilities/connmanagermqtt.py | _republish | connax-utim/uhost-micropython | python | def _republish(self, id):
'\n Check if message was delivered and republish if not\n\n :param id: Message ID\n '
logging.info('_publish for {0} started'.format(id))
time.sleep(10)
while (id in self.__sent_messages.keys()):
try:
logging.info("Message {0} wasn't del... |
def _on_message(self, sender, message):
'\n Message receiving callback\n\n :param sender: Message sender\n :param message: The message\n '
logging.info('Received message {0} from {1}'.format(message, sender))
if (len(message) < 3):
logging.info('Message is too short to be... | -3,529,581,953,659,937,300 | Message receiving callback
:param sender: Message sender
:param message: The message | utilities/connmanagermqtt.py | _on_message | connax-utim/uhost-micropython | python | def _on_message(self, sender, message):
'\n Message receiving callback\n\n :param sender: Message sender\n :param message: The message\n '
logging.info('Received message {0} from {1}'.format(message, sender))
if (len(message) < 3):
logging.info('Message is too short to be... |
@click.command()
def main():
'Update SMARTER database statuses'
logger.info(f'{Path(__file__).name} started')
try:
database = SmarterInfo.objects.get(id='smarter')
logger.debug(f'Found: {database}')
except DoesNotExist:
logger.warning('Smarter database status was never tracked')
... | 3,191,944,132,278,295,000 | Update SMARTER database statuses | src/data/update_db_status.py | main | cnr-ibba/SMARTER-database | python | @click.command()
def main():
logger.info(f'{Path(__file__).name} started')
try:
database = SmarterInfo.objects.get(id='smarter')
logger.debug(f'Found: {database}')
except DoesNotExist:
logger.warning('Smarter database status was never tracked')
database = SmarterInfo(id=... |
def __init__(self, generate_callback, update_callback, remove_callback, coordinates, filter_radius=None, filter_minimum_magnitude=None):
'Initialize the IGN Sismología Feed Manager.'
feed = IgnSismologiaFeed(coordinates, filter_radius=filter_radius, filter_minimum_magnitude=filter_minimum_magnitude)
super()... | 4,804,089,377,989,919,000 | Initialize the IGN Sismología Feed Manager. | georss_ign_sismologia_client/__init__.py | __init__ | exxamalte/python-georss-ign-sismologia-client | python | def __init__(self, generate_callback, update_callback, remove_callback, coordinates, filter_radius=None, filter_minimum_magnitude=None):
feed = IgnSismologiaFeed(coordinates, filter_radius=filter_radius, filter_minimum_magnitude=filter_minimum_magnitude)
super().__init__(feed, generate_callback, update_cal... |
def __init__(self, home_coordinates, filter_radius=None, filter_minimum_magnitude=None):
'Initialise this service.'
super().__init__(home_coordinates, URL, filter_radius=filter_radius)
self._filter_minimum_magnitude = filter_minimum_magnitude | 4,457,051,066,076,739,600 | Initialise this service. | georss_ign_sismologia_client/__init__.py | __init__ | exxamalte/python-georss-ign-sismologia-client | python | def __init__(self, home_coordinates, filter_radius=None, filter_minimum_magnitude=None):
super().__init__(home_coordinates, URL, filter_radius=filter_radius)
self._filter_minimum_magnitude = filter_minimum_magnitude |
def __repr__(self):
'Return string representation of this feed.'
return '<{}(home={}, url={}, radius={}, magnitude={})>'.format(self.__class__.__name__, self._home_coordinates, self._url, self._filter_radius, self._filter_minimum_magnitude) | 6,123,197,691,639,559,000 | Return string representation of this feed. | georss_ign_sismologia_client/__init__.py | __repr__ | exxamalte/python-georss-ign-sismologia-client | python | def __repr__(self):
return '<{}(home={}, url={}, radius={}, magnitude={})>'.format(self.__class__.__name__, self._home_coordinates, self._url, self._filter_radius, self._filter_minimum_magnitude) |
def _new_entry(self, home_coordinates, rss_entry, global_data):
'Generate a new entry.'
return IgnSismologiaFeedEntry(home_coordinates, rss_entry) | 4,687,324,556,794,112,000 | Generate a new entry. | georss_ign_sismologia_client/__init__.py | _new_entry | exxamalte/python-georss-ign-sismologia-client | python | def _new_entry(self, home_coordinates, rss_entry, global_data):
return IgnSismologiaFeedEntry(home_coordinates, rss_entry) |
def _filter_entries(self, entries):
'Filter the provided entries.'
entries = super()._filter_entries(entries)
if self._filter_minimum_magnitude:
return list(filter((lambda entry: (entry.magnitude and (entry.magnitude >= self._filter_minimum_magnitude))), entries))
return entries | -890,736,604,661,526,400 | Filter the provided entries. | georss_ign_sismologia_client/__init__.py | _filter_entries | exxamalte/python-georss-ign-sismologia-client | python | def _filter_entries(self, entries):
entries = super()._filter_entries(entries)
if self._filter_minimum_magnitude:
return list(filter((lambda entry: (entry.magnitude and (entry.magnitude >= self._filter_minimum_magnitude))), entries))
return entries |
def __init__(self, home_coordinates, rss_entry):
'Initialise this service.'
super().__init__(home_coordinates, rss_entry) | 7,812,088,943,368,219,000 | Initialise this service. | georss_ign_sismologia_client/__init__.py | __init__ | exxamalte/python-georss-ign-sismologia-client | python | def __init__(self, home_coordinates, rss_entry):
super().__init__(home_coordinates, rss_entry) |
@property
def attribution(self) -> str:
'Return the attribution of this entry.'
return ATTRIBUTION | 6,532,099,834,685,233,000 | Return the attribution of this entry. | georss_ign_sismologia_client/__init__.py | attribution | exxamalte/python-georss-ign-sismologia-client | python | @property
def attribution(self) -> str:
return ATTRIBUTION |
@property
def published(self) -> Optional[datetime]:
'Return the published date of this entry.'
published_date = self._search_in_title(REGEXP_ATTR_PUBLISHED_DATE)
if published_date:
published_date = dateparser.parse(published_date)
return published_date | 1,931,088,764,418,862,300 | Return the published date of this entry. | georss_ign_sismologia_client/__init__.py | published | exxamalte/python-georss-ign-sismologia-client | python | @property
def published(self) -> Optional[datetime]:
published_date = self._search_in_title(REGEXP_ATTR_PUBLISHED_DATE)
if published_date:
published_date = dateparser.parse(published_date)
return published_date |
@property
def magnitude(self) -> Optional[float]:
'Return the magnitude of this entry.'
magnitude = self._search_in_description(REGEXP_ATTR_MAGNITUDE)
if magnitude:
magnitude = float(magnitude)
return magnitude | -2,808,530,826,421,641,700 | Return the magnitude of this entry. | georss_ign_sismologia_client/__init__.py | magnitude | exxamalte/python-georss-ign-sismologia-client | python | @property
def magnitude(self) -> Optional[float]:
magnitude = self._search_in_description(REGEXP_ATTR_MAGNITUDE)
if magnitude:
magnitude = float(magnitude)
return magnitude |
@property
def region(self) -> Optional[float]:
'Return the region of this entry.'
return self._search_in_description(REGEXP_ATTR_REGION) | 8,086,530,032,019,997,000 | Return the region of this entry. | georss_ign_sismologia_client/__init__.py | region | exxamalte/python-georss-ign-sismologia-client | python | @property
def region(self) -> Optional[float]:
return self._search_in_description(REGEXP_ATTR_REGION) |
def _short_id(self) -> Optional[str]:
'Return the short id of this entry.'
return self._search_in_external_id(REGEXP_ATTR_SHORT_ID) | -8,168,063,447,618,311,000 | Return the short id of this entry. | georss_ign_sismologia_client/__init__.py | _short_id | exxamalte/python-georss-ign-sismologia-client | python | def _short_id(self) -> Optional[str]:
return self._search_in_external_id(REGEXP_ATTR_SHORT_ID) |
@property
def image_url(self) -> Optional[str]:
'Return the image url of this entry.'
short_id = self._short_id()
if short_id:
return IMAGE_URL_PATTERN.format(short_id)
return None | -2,840,390,393,779,878,400 | Return the image url of this entry. | georss_ign_sismologia_client/__init__.py | image_url | exxamalte/python-georss-ign-sismologia-client | python | @property
def image_url(self) -> Optional[str]:
short_id = self._short_id()
if short_id:
return IMAGE_URL_PATTERN.format(short_id)
return None |
@click.group()
def cli():
'\n The tethys CLI for managing your environment.\n ' | -2,337,295,908,500,185,600 | The tethys CLI for managing your environment. | tethys/bin/cli.py | cli | tethys-platform/tethys | python | @click.group()
def cli():
'\n \n ' |
@cli.group(name='apps')
def apps_entry():
'\n Tethys apps manager\n ' | 3,940,248,023,208,902,000 | Tethys apps manager | tethys/bin/cli.py | apps_entry | tethys-platform/tethys | python | @cli.group(name='apps')
def apps_entry():
'\n \n ' |
def user_cache_dir(appname):
'\n Return full path to the user-specific cache dir for this application.\n\n "appname" is the name of application.\n\n Typical user cache directories are:\n Mac OS X: ~/Library/Caches/<AppName>\n Unix: ~/.cache/<AppName> (XDG default)\n Windows... | 8,495,666,354,142,405,000 | Return full path to the user-specific cache dir for this application.
"appname" is the name of application.
Typical user cache directories are:
Mac OS X: ~/Library/Caches/<AppName>
Unix: ~/.cache/<AppName> (XDG default)
Windows: C:\Users\<username>\AppData\Local\<AppName>\Cache
On Window... | pip/appdirs.py | user_cache_dir | chadrik/pip | python | def user_cache_dir(appname):
'\n Return full path to the user-specific cache dir for this application.\n\n "appname" is the name of application.\n\n Typical user cache directories are:\n Mac OS X: ~/Library/Caches/<AppName>\n Unix: ~/.cache/<AppName> (XDG default)\n Windows... |
def _get_win_folder_from_registry(csidl_name):
"\n This is a fallback technique at best. I'm not sure if using the\n registry for this guarantees us the correct answer for all CSIDL_*\n names.\n "
import _winreg
shell_folder_name = {'CSIDL_APPDATA': 'AppData', 'CSIDL_COMMON_APPDATA': 'Common App... | -5,892,240,489,297,082,000 | This is a fallback technique at best. I'm not sure if using the
registry for this guarantees us the correct answer for all CSIDL_*
names. | pip/appdirs.py | _get_win_folder_from_registry | chadrik/pip | python | def _get_win_folder_from_registry(csidl_name):
"\n This is a fallback technique at best. I'm not sure if using the\n registry for this guarantees us the correct answer for all CSIDL_*\n names.\n "
import _winreg
shell_folder_name = {'CSIDL_APPDATA': 'AppData', 'CSIDL_COMMON_APPDATA': 'Common App... |
def compress(input_file_path, output_file_path, level=0, method=1):
'Function to compress PDF via Ghostscript command line interface'
quality = {0: '/default', 1: '/prepress', 2: '/printer', 3: '/ebook', 4: '/screen'}
if (not os.path.isfile(input_file_path)):
print(f'Error: invalid path for input fi... | 978,765,344,947,813,200 | Function to compress PDF via Ghostscript command line interface | gs_compress.py | compress | brio50/groups-io | python | def compress(input_file_path, output_file_path, level=0, method=1):
quality = {0: '/default', 1: '/prepress', 2: '/printer', 3: '/ebook', 4: '/screen'}
if (not os.path.isfile(input_file_path)):
print(f'Error: invalid path for input file: {input_file_path}')
sys.exit(1)
if (input_file_pa... |
def get_transport_class(cls, label: str=None) -> Type[UserEventServiceTransport]:
'Returns an appropriate transport class.\n\n Args:\n label: The name of the desired transport. If none is\n provided, then the first transport in the registry is used.\n\n Returns:\n ... | -8,486,663,818,495,446,000 | Returns an appropriate transport class.
Args:
label: The name of the desired transport. If none is
provided, then the first transport in the registry is used.
Returns:
The transport class to use. | google/cloud/recommendationengine/v1beta1/recommendationengine-v1beta1-py/google/cloud/recommendationengine_v1beta1/services/user_event_service/client.py | get_transport_class | googleapis/googleapis-gen | python | def get_transport_class(cls, label: str=None) -> Type[UserEventServiceTransport]:
'Returns an appropriate transport class.\n\n Args:\n label: The name of the desired transport. If none is\n provided, then the first transport in the registry is used.\n\n Returns:\n ... |
@staticmethod
def _get_default_mtls_endpoint(api_endpoint):
'Converts api endpoint to mTLS endpoint.\n\n Convert "*.sandbox.googleapis.com" and "*.googleapis.com" to\n "*.mtls.sandbox.googleapis.com" and "*.mtls.googleapis.com" respectively.\n Args:\n api_endpoint (Optional[str]): th... | 7,533,698,565,164,944,000 | Converts api endpoint to mTLS endpoint.
Convert "*.sandbox.googleapis.com" and "*.googleapis.com" to
"*.mtls.sandbox.googleapis.com" and "*.mtls.googleapis.com" respectively.
Args:
api_endpoint (Optional[str]): the api endpoint to convert.
Returns:
str: converted mTLS api endpoint. | google/cloud/recommendationengine/v1beta1/recommendationengine-v1beta1-py/google/cloud/recommendationengine_v1beta1/services/user_event_service/client.py | _get_default_mtls_endpoint | googleapis/googleapis-gen | python | @staticmethod
def _get_default_mtls_endpoint(api_endpoint):
'Converts api endpoint to mTLS endpoint.\n\n Convert "*.sandbox.googleapis.com" and "*.googleapis.com" to\n "*.mtls.sandbox.googleapis.com" and "*.mtls.googleapis.com" respectively.\n Args:\n api_endpoint (Optional[str]): th... |
@classmethod
def from_service_account_info(cls, info: dict, *args, **kwargs):
'Creates an instance of this client using the provided credentials\n info.\n\n Args:\n info (dict): The service account private key info.\n args: Additional arguments to pass to the constructor.\n ... | -8,069,945,373,802,076,000 | Creates an instance of this client using the provided credentials
info.
Args:
info (dict): The service account private key info.
args: Additional arguments to pass to the constructor.
kwargs: Additional arguments to pass to the constructor.
Returns:
UserEventServiceClient: The constructed client. | google/cloud/recommendationengine/v1beta1/recommendationengine-v1beta1-py/google/cloud/recommendationengine_v1beta1/services/user_event_service/client.py | from_service_account_info | googleapis/googleapis-gen | python | @classmethod
def from_service_account_info(cls, info: dict, *args, **kwargs):
'Creates an instance of this client using the provided credentials\n info.\n\n Args:\n info (dict): The service account private key info.\n args: Additional arguments to pass to the constructor.\n ... |
@classmethod
def from_service_account_file(cls, filename: str, *args, **kwargs):
'Creates an instance of this client using the provided credentials\n file.\n\n Args:\n filename (str): The path to the service account private key json\n file.\n args: Additional a... | 7,707,715,727,642,763,000 | Creates an instance of this client using the provided credentials
file.
Args:
filename (str): The path to the service account private key json
file.
args: Additional arguments to pass to the constructor.
kwargs: Additional arguments to pass to the constructor.
Returns:
UserEventServiceClie... | google/cloud/recommendationengine/v1beta1/recommendationengine-v1beta1-py/google/cloud/recommendationengine_v1beta1/services/user_event_service/client.py | from_service_account_file | googleapis/googleapis-gen | python | @classmethod
def from_service_account_file(cls, filename: str, *args, **kwargs):
'Creates an instance of this client using the provided credentials\n file.\n\n Args:\n filename (str): The path to the service account private key json\n file.\n args: Additional a... |
@property
def transport(self) -> UserEventServiceTransport:
'Returns the transport used by the client instance.\n\n Returns:\n UserEventServiceTransport: The transport used by the client\n instance.\n '
return self._transport | -8,178,801,226,573,250,000 | Returns the transport used by the client instance.
Returns:
UserEventServiceTransport: The transport used by the client
instance. | google/cloud/recommendationengine/v1beta1/recommendationengine-v1beta1-py/google/cloud/recommendationengine_v1beta1/services/user_event_service/client.py | transport | googleapis/googleapis-gen | python | @property
def transport(self) -> UserEventServiceTransport:
'Returns the transport used by the client instance.\n\n Returns:\n UserEventServiceTransport: The transport used by the client\n instance.\n '
return self._transport |
@staticmethod
def event_store_path(project: str, location: str, catalog: str, event_store: str) -> str:
'Returns a fully-qualified event_store string.'
return 'projects/{project}/locations/{location}/catalogs/{catalog}/eventStores/{event_store}'.format(project=project, location=location, catalog=catalog, event_... | -2,980,082,045,436,697,000 | Returns a fully-qualified event_store string. | google/cloud/recommendationengine/v1beta1/recommendationengine-v1beta1-py/google/cloud/recommendationengine_v1beta1/services/user_event_service/client.py | event_store_path | googleapis/googleapis-gen | python | @staticmethod
def event_store_path(project: str, location: str, catalog: str, event_store: str) -> str:
return 'projects/{project}/locations/{location}/catalogs/{catalog}/eventStores/{event_store}'.format(project=project, location=location, catalog=catalog, event_store=event_store) |
@staticmethod
def parse_event_store_path(path: str) -> Dict[(str, str)]:
'Parses a event_store path into its component segments.'
m = re.match('^projects/(?P<project>.+?)/locations/(?P<location>.+?)/catalogs/(?P<catalog>.+?)/eventStores/(?P<event_store>.+?)$', path)
return (m.groupdict() if m else {}) | 8,316,049,900,430,091,000 | Parses a event_store path into its component segments. | google/cloud/recommendationengine/v1beta1/recommendationengine-v1beta1-py/google/cloud/recommendationengine_v1beta1/services/user_event_service/client.py | parse_event_store_path | googleapis/googleapis-gen | python | @staticmethod
def parse_event_store_path(path: str) -> Dict[(str, str)]:
m = re.match('^projects/(?P<project>.+?)/locations/(?P<location>.+?)/catalogs/(?P<catalog>.+?)/eventStores/(?P<event_store>.+?)$', path)
return (m.groupdict() if m else {}) |
@staticmethod
def common_billing_account_path(billing_account: str) -> str:
'Returns a fully-qualified billing_account string.'
return 'billingAccounts/{billing_account}'.format(billing_account=billing_account) | 5,123,899,605,328,763,000 | Returns a fully-qualified billing_account string. | google/cloud/recommendationengine/v1beta1/recommendationengine-v1beta1-py/google/cloud/recommendationengine_v1beta1/services/user_event_service/client.py | common_billing_account_path | googleapis/googleapis-gen | python | @staticmethod
def common_billing_account_path(billing_account: str) -> str:
return 'billingAccounts/{billing_account}'.format(billing_account=billing_account) |
@staticmethod
def parse_common_billing_account_path(path: str) -> Dict[(str, str)]:
'Parse a billing_account path into its component segments.'
m = re.match('^billingAccounts/(?P<billing_account>.+?)$', path)
return (m.groupdict() if m else {}) | 3,539,036,522,285,068,000 | Parse a billing_account path into its component segments. | google/cloud/recommendationengine/v1beta1/recommendationengine-v1beta1-py/google/cloud/recommendationengine_v1beta1/services/user_event_service/client.py | parse_common_billing_account_path | googleapis/googleapis-gen | python | @staticmethod
def parse_common_billing_account_path(path: str) -> Dict[(str, str)]:
m = re.match('^billingAccounts/(?P<billing_account>.+?)$', path)
return (m.groupdict() if m else {}) |
@staticmethod
def common_folder_path(folder: str) -> str:
'Returns a fully-qualified folder string.'
return 'folders/{folder}'.format(folder=folder) | -6,142,497,583,881,718,000 | Returns a fully-qualified folder string. | google/cloud/recommendationengine/v1beta1/recommendationengine-v1beta1-py/google/cloud/recommendationengine_v1beta1/services/user_event_service/client.py | common_folder_path | googleapis/googleapis-gen | python | @staticmethod
def common_folder_path(folder: str) -> str:
return 'folders/{folder}'.format(folder=folder) |
@staticmethod
def parse_common_folder_path(path: str) -> Dict[(str, str)]:
'Parse a folder path into its component segments.'
m = re.match('^folders/(?P<folder>.+?)$', path)
return (m.groupdict() if m else {}) | 7,731,323,619,502,445,000 | Parse a folder path into its component segments. | google/cloud/recommendationengine/v1beta1/recommendationengine-v1beta1-py/google/cloud/recommendationengine_v1beta1/services/user_event_service/client.py | parse_common_folder_path | googleapis/googleapis-gen | python | @staticmethod
def parse_common_folder_path(path: str) -> Dict[(str, str)]:
m = re.match('^folders/(?P<folder>.+?)$', path)
return (m.groupdict() if m else {}) |
@staticmethod
def common_organization_path(organization: str) -> str:
'Returns a fully-qualified organization string.'
return 'organizations/{organization}'.format(organization=organization) | -1,733,580,681,013,462,000 | Returns a fully-qualified organization string. | google/cloud/recommendationengine/v1beta1/recommendationengine-v1beta1-py/google/cloud/recommendationengine_v1beta1/services/user_event_service/client.py | common_organization_path | googleapis/googleapis-gen | python | @staticmethod
def common_organization_path(organization: str) -> str:
return 'organizations/{organization}'.format(organization=organization) |
@staticmethod
def parse_common_organization_path(path: str) -> Dict[(str, str)]:
'Parse a organization path into its component segments.'
m = re.match('^organizations/(?P<organization>.+?)$', path)
return (m.groupdict() if m else {}) | 6,176,747,584,094,183,000 | Parse a organization path into its component segments. | google/cloud/recommendationengine/v1beta1/recommendationengine-v1beta1-py/google/cloud/recommendationengine_v1beta1/services/user_event_service/client.py | parse_common_organization_path | googleapis/googleapis-gen | python | @staticmethod
def parse_common_organization_path(path: str) -> Dict[(str, str)]:
m = re.match('^organizations/(?P<organization>.+?)$', path)
return (m.groupdict() if m else {}) |
@staticmethod
def common_project_path(project: str) -> str:
'Returns a fully-qualified project string.'
return 'projects/{project}'.format(project=project) | -124,327,816,620,303,040 | Returns a fully-qualified project string. | google/cloud/recommendationengine/v1beta1/recommendationengine-v1beta1-py/google/cloud/recommendationengine_v1beta1/services/user_event_service/client.py | common_project_path | googleapis/googleapis-gen | python | @staticmethod
def common_project_path(project: str) -> str:
return 'projects/{project}'.format(project=project) |
@staticmethod
def parse_common_project_path(path: str) -> Dict[(str, str)]:
'Parse a project path into its component segments.'
m = re.match('^projects/(?P<project>.+?)$', path)
return (m.groupdict() if m else {}) | -6,609,324,249,468,844,000 | Parse a project path into its component segments. | google/cloud/recommendationengine/v1beta1/recommendationengine-v1beta1-py/google/cloud/recommendationengine_v1beta1/services/user_event_service/client.py | parse_common_project_path | googleapis/googleapis-gen | python | @staticmethod
def parse_common_project_path(path: str) -> Dict[(str, str)]:
m = re.match('^projects/(?P<project>.+?)$', path)
return (m.groupdict() if m else {}) |
@staticmethod
def common_location_path(project: str, location: str) -> str:
'Returns a fully-qualified location string.'
return 'projects/{project}/locations/{location}'.format(project=project, location=location) | 8,215,176,652,370,049,000 | Returns a fully-qualified location string. | google/cloud/recommendationengine/v1beta1/recommendationengine-v1beta1-py/google/cloud/recommendationengine_v1beta1/services/user_event_service/client.py | common_location_path | googleapis/googleapis-gen | python | @staticmethod
def common_location_path(project: str, location: str) -> str:
return 'projects/{project}/locations/{location}'.format(project=project, location=location) |
@staticmethod
def parse_common_location_path(path: str) -> Dict[(str, str)]:
'Parse a location path into its component segments.'
m = re.match('^projects/(?P<project>.+?)/locations/(?P<location>.+?)$', path)
return (m.groupdict() if m else {}) | 1,703,235,435,027,079,400 | Parse a location path into its component segments. | google/cloud/recommendationengine/v1beta1/recommendationengine-v1beta1-py/google/cloud/recommendationengine_v1beta1/services/user_event_service/client.py | parse_common_location_path | googleapis/googleapis-gen | python | @staticmethod
def parse_common_location_path(path: str) -> Dict[(str, str)]:
m = re.match('^projects/(?P<project>.+?)/locations/(?P<location>.+?)$', path)
return (m.groupdict() if m else {}) |
def __init__(self, *, credentials: Optional[ga_credentials.Credentials]=None, transport: Union[(str, UserEventServiceTransport, None)]=None, client_options: Optional[client_options_lib.ClientOptions]=None, client_info: gapic_v1.client_info.ClientInfo=DEFAULT_CLIENT_INFO) -> None:
'Instantiates the user event servic... | -9,065,012,600,399,228,000 | Instantiates the user event service client.
Args:
credentials (Optional[google.auth.credentials.Credentials]): The
authorization credentials to attach to requests. These
credentials identify the application to the service; if none
are specified, the client will attempt to ascertain the
... | google/cloud/recommendationengine/v1beta1/recommendationengine-v1beta1-py/google/cloud/recommendationengine_v1beta1/services/user_event_service/client.py | __init__ | googleapis/googleapis-gen | python | def __init__(self, *, credentials: Optional[ga_credentials.Credentials]=None, transport: Union[(str, UserEventServiceTransport, None)]=None, client_options: Optional[client_options_lib.ClientOptions]=None, client_info: gapic_v1.client_info.ClientInfo=DEFAULT_CLIENT_INFO) -> None:
'Instantiates the user event servic... |
def write_user_event(self, request: Union[(user_event_service.WriteUserEventRequest, dict)]=None, *, parent: str=None, user_event: gcr_user_event.UserEvent=None, retry: retries.Retry=gapic_v1.method.DEFAULT, timeout: float=None, metadata: Sequence[Tuple[(str, str)]]=()) -> gcr_user_event.UserEvent:
"Writes a single... | 5,534,637,056,578,274,000 | Writes a single user event.
Args:
request (Union[google.cloud.recommendationengine_v1beta1.types.WriteUserEventRequest, dict]):
The request object. Request message for WriteUserEvent
method.
parent (str):
Required. The parent eventStore resource name, such as
``projects/1234/loc... | google/cloud/recommendationengine/v1beta1/recommendationengine-v1beta1-py/google/cloud/recommendationengine_v1beta1/services/user_event_service/client.py | write_user_event | googleapis/googleapis-gen | python | def write_user_event(self, request: Union[(user_event_service.WriteUserEventRequest, dict)]=None, *, parent: str=None, user_event: gcr_user_event.UserEvent=None, retry: retries.Retry=gapic_v1.method.DEFAULT, timeout: float=None, metadata: Sequence[Tuple[(str, str)]]=()) -> gcr_user_event.UserEvent:
"Writes a single... |
def collect_user_event(self, request: Union[(user_event_service.CollectUserEventRequest, dict)]=None, *, parent: str=None, user_event: str=None, uri: str=None, ets: int=None, retry: retries.Retry=gapic_v1.method.DEFAULT, timeout: float=None, metadata: Sequence[Tuple[(str, str)]]=()) -> httpbody_pb2.HttpBody:
"Write... | 2,787,104,905,625,894,400 | Writes a single user event from the browser. This
uses a GET request to due to browser restriction of
POST-ing to a 3rd party domain.
This method is used only by the Recommendations AI
JavaScript pixel. Users should not call this method
directly.
Args:
request (Union[google.cloud.recommendationengine_v1beta1.types... | google/cloud/recommendationengine/v1beta1/recommendationengine-v1beta1-py/google/cloud/recommendationengine_v1beta1/services/user_event_service/client.py | collect_user_event | googleapis/googleapis-gen | python | def collect_user_event(self, request: Union[(user_event_service.CollectUserEventRequest, dict)]=None, *, parent: str=None, user_event: str=None, uri: str=None, ets: int=None, retry: retries.Retry=gapic_v1.method.DEFAULT, timeout: float=None, metadata: Sequence[Tuple[(str, str)]]=()) -> httpbody_pb2.HttpBody:
"Write... |
def list_user_events(self, request: Union[(user_event_service.ListUserEventsRequest, dict)]=None, *, parent: str=None, filter: str=None, retry: retries.Retry=gapic_v1.method.DEFAULT, timeout: float=None, metadata: Sequence[Tuple[(str, str)]]=()) -> pagers.ListUserEventsPager:
'Gets a list of user events within a ti... | 373,812,839,536,061,600 | Gets a list of user events within a time range, with
potential filtering.
Args:
request (Union[google.cloud.recommendationengine_v1beta1.types.ListUserEventsRequest, dict]):
The request object. Request message for ListUserEvents
method.
parent (str):
Required. The parent eventStore reso... | google/cloud/recommendationengine/v1beta1/recommendationengine-v1beta1-py/google/cloud/recommendationengine_v1beta1/services/user_event_service/client.py | list_user_events | googleapis/googleapis-gen | python | def list_user_events(self, request: Union[(user_event_service.ListUserEventsRequest, dict)]=None, *, parent: str=None, filter: str=None, retry: retries.Retry=gapic_v1.method.DEFAULT, timeout: float=None, metadata: Sequence[Tuple[(str, str)]]=()) -> pagers.ListUserEventsPager:
'Gets a list of user events within a ti... |
def purge_user_events(self, request: Union[(user_event_service.PurgeUserEventsRequest, dict)]=None, *, parent: str=None, filter: str=None, force: bool=None, retry: retries.Retry=gapic_v1.method.DEFAULT, timeout: float=None, metadata: Sequence[Tuple[(str, str)]]=()) -> operation.Operation:
'Deletes permanently all u... | 8,026,864,222,891,210,000 | Deletes permanently all user events specified by the
filter provided. Depending on the number of events
specified by the filter, this operation could take hours
or days to complete. To test a filter, use the list
command first.
Args:
request (Union[google.cloud.recommendationengine_v1beta1.types.PurgeUserEventsReq... | google/cloud/recommendationengine/v1beta1/recommendationengine-v1beta1-py/google/cloud/recommendationengine_v1beta1/services/user_event_service/client.py | purge_user_events | googleapis/googleapis-gen | python | def purge_user_events(self, request: Union[(user_event_service.PurgeUserEventsRequest, dict)]=None, *, parent: str=None, filter: str=None, force: bool=None, retry: retries.Retry=gapic_v1.method.DEFAULT, timeout: float=None, metadata: Sequence[Tuple[(str, str)]]=()) -> operation.Operation:
'Deletes permanently all u... |
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