Describe the bug
data type error when using MGC.p_value() on long type
To Reproduce
from mgcpy.independence_tests.mgc import MGC
a = np.array([[1.,1.],[1.,1.]])
b = np.array([[2.,2.],[2.,2.]])
mgc.p_value(a,b)
Expected behavior
I expected this to work.
Error output
ValueError Traceback (most recent call last)
in
8 a = np.array([[1.,1.],[1.,1.]])
9 b = np.array([[2.,2.],[2.,2.]])
---> 10 mgc.p_value(a,b)
11
12 indices_1 = np.cumsum(n1)
~\Anaconda3\lib\site-packages\mgcpy-0.3.0-py3.7-win-amd64.egg\mgcpy\independence_tests\mgc.py in p_value(self, matrix_X, matrix_Y, replication_factor, is_fast, fast_mgc_data)
226 return p_value, p_value_metadata
227 else:
--> 228 return super(MGC, self).p_value(matrix_X, matrix_Y)
229
230 def _fast_mgc_p_value(self, matrix_X, matrix_Y, sub_samples=10):
~\Anaconda3\lib\site-packages\mgcpy-0.3.0-py3.7-win-amd64.egg\mgcpy\independence_tests\abstract_class.py in p_value(self, matrix_X, matrix_Y, replication_factor)
89
90 # calculte the test statistic with the given data
---> 91 test_statistic, independence_test_metadata = self.test_statistic(matrix_X, matrix_Y)
92
93 if self.get_name() == "unbiased":
~\Anaconda3\lib\site-packages\mgcpy-0.3.0-py3.7-win-amd64.egg\mgcpy\independence_tests\mgc.py in test_statistic(self, matrix_X, matrix_Y, is_fast, fast_mgc_data)
88 distance_matrix_X, distance_matrix_Y = compute_distance(matrix_X, matrix_Y, self.compute_distance_matrix)
89 local_correlation_matrix = local_correlations(distance_matrix_X, distance_matrix_Y,
---> 90 base_global_correlation=self.base_global_correlation)["local_correlation_matrix"]
91 m, n = local_correlation_matrix.shape
92 if m == 1 or n == 1:
mgcpy\independence_tests\mgc_utils\local_correlation.pyx in mgcpy.independence_tests.mgc_utils.local_correlation.local_correlations()
mgcpy\independence_tests\mgc_utils\local_correlation.pyx in mgcpy.independence_tests.mgc_utils.local_correlation.local_correlations()
mgcpy\independence_tests\mgc_utils\local_correlation.pyx in mgcpy.independence_tests.mgc_utils.local_correlation.local_covariance()
ValueError: Buffer dtype mismatch, expected 'int_t' but got 'long long'
Desktop (please complete the following information):
-Recently downloaded off pip, using Windows 10
Describe the bug
data type error when using MGC.p_value() on long type
To Reproduce
from mgcpy.independence_tests.mgc import MGC
a = np.array([[1.,1.],[1.,1.]])
b = np.array([[2.,2.],[2.,2.]])
mgc.p_value(a,b)
Expected behavior
I expected this to work.
Error output
ValueError Traceback (most recent call last)
in
8 a = np.array([[1.,1.],[1.,1.]])
9 b = np.array([[2.,2.],[2.,2.]])
---> 10 mgc.p_value(a,b)
11
12 indices_1 = np.cumsum(n1)
~\Anaconda3\lib\site-packages\mgcpy-0.3.0-py3.7-win-amd64.egg\mgcpy\independence_tests\mgc.py in p_value(self, matrix_X, matrix_Y, replication_factor, is_fast, fast_mgc_data)
226 return p_value, p_value_metadata
227 else:
--> 228 return super(MGC, self).p_value(matrix_X, matrix_Y)
229
230 def _fast_mgc_p_value(self, matrix_X, matrix_Y, sub_samples=10):
~\Anaconda3\lib\site-packages\mgcpy-0.3.0-py3.7-win-amd64.egg\mgcpy\independence_tests\abstract_class.py in p_value(self, matrix_X, matrix_Y, replication_factor)
89
90 # calculte the test statistic with the given data
---> 91 test_statistic, independence_test_metadata = self.test_statistic(matrix_X, matrix_Y)
92
93 if self.get_name() == "unbiased":
~\Anaconda3\lib\site-packages\mgcpy-0.3.0-py3.7-win-amd64.egg\mgcpy\independence_tests\mgc.py in test_statistic(self, matrix_X, matrix_Y, is_fast, fast_mgc_data)
88 distance_matrix_X, distance_matrix_Y = compute_distance(matrix_X, matrix_Y, self.compute_distance_matrix)
89 local_correlation_matrix = local_correlations(distance_matrix_X, distance_matrix_Y,
---> 90 base_global_correlation=self.base_global_correlation)["local_correlation_matrix"]
91 m, n = local_correlation_matrix.shape
92 if m == 1 or n == 1:
mgcpy\independence_tests\mgc_utils\local_correlation.pyx in mgcpy.independence_tests.mgc_utils.local_correlation.local_correlations()
mgcpy\independence_tests\mgc_utils\local_correlation.pyx in mgcpy.independence_tests.mgc_utils.local_correlation.local_correlations()
mgcpy\independence_tests\mgc_utils\local_correlation.pyx in mgcpy.independence_tests.mgc_utils.local_correlation.local_covariance()
ValueError: Buffer dtype mismatch, expected 'int_t' but got 'long long'
Desktop (please complete the following information):
-Recently downloaded off pip, using Windows 10