Python numpy.sometrue() Examples
The following are 30
code examples of numpy.sometrue().
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Example #1
Source File: phaseplane.py From compneuro with BSD 3-Clause "New" or "Revised" License | 6 votes |
def _classify(self): if self.dimension == 2: print "Use fixedpoint_2D class" real_evals = (isreal(self.evals[0]), isreal(self.evals[1])) equal_evals = abs(self.evals[0] - self.evals[1]) < self.eps zero_evals = (abs(self.evals[0]) < self.eps, abs(self.evals[1]) < self.eps) ## if alltrue(real_evals): ## sign_evals = (sign(self.evals[0]), sign(self.evals[1])) ## if sign_evals[0] == sign_evals[1]: ## self.classification = 'node-like' ## else: ## self.classification = 'saddle-like' ## else: ## self.classification = 'spiral-like' real_parts = real(self.evals) if alltrue(real_parts<0): self.stability = 's' elif alltrue(real_parts==0): self.stability = 'c' else: self.stability = 'u' self.degenerate = sometrue(zero_evals) or equal_evals
Example #2
Source File: phaseplane.py From compneuro with BSD 3-Clause "New" or "Revised" License | 6 votes |
def _classify(self): real_evals = (isreal(self.evals[0]), isreal(self.evals[1])) equal_evals = abs(self.evals[0] - self.evals[1]) < self.eps zero_evals = (abs(self.evals[0]) < self.eps, abs(self.evals[1]) < self.eps) if alltrue(real_evals): sign_evals = (sign(self.evals[0]), sign(self.evals[1])) if sign_evals[0] == sign_evals[1]: self.classification = 'node' else: self.classification = 'saddle' else: self.classification = 'spiral' real_parts = real(self.evals) if alltrue(real_parts<0): self.stability = 's' elif alltrue(real_parts==0): self.stability = 'c' else: self.stability = 'u' self.degenerate = sometrue(zero_evals) or equal_evals
Example #3
Source File: test_type_check.py From coffeegrindsize with MIT License | 5 votes |
def test_fail(self): z = np.array([-1, 0, 1]) res = iscomplex(z) assert_(not np.sometrue(res, axis=0))
Example #4
Source File: test_function_base.py From predictive-maintenance-using-machine-learning with Apache License 2.0 | 5 votes |
def test_nd(self): y1 = [[0, 0, 0], [0, 1, 0], [1, 1, 0]] assert_(np.any(y1)) assert_array_equal(np.sometrue(y1, axis=0), [1, 1, 0]) assert_array_equal(np.sometrue(y1, axis=1), [0, 1, 1])
Example #5
Source File: test_type_check.py From predictive-maintenance-using-machine-learning with Apache License 2.0 | 5 votes |
def test_fail(self): z = np.array([-1, 0, 1]) res = iscomplex(z) assert_(not np.sometrue(res, axis=0))
Example #6
Source File: test_function_base.py From pySINDy with MIT License | 5 votes |
def test_nd(self): y1 = [[0, 0, 0], [0, 1, 0], [1, 1, 0]] assert_(np.any(y1)) assert_array_equal(np.sometrue(y1, axis=0), [1, 1, 0]) assert_array_equal(np.sometrue(y1, axis=1), [0, 1, 1])
Example #7
Source File: test_type_check.py From pySINDy with MIT License | 5 votes |
def test_fail(self): z = np.array([-1, 0, 1]) res = iscomplex(z) assert_(not np.sometrue(res, axis=0))
Example #8
Source File: test_function_base.py From mxnet-lambda with Apache License 2.0 | 5 votes |
def test_nd(self): y1 = [[0, 0, 0], [0, 1, 0], [1, 1, 0]] assert_(np.any(y1)) assert_array_equal(np.sometrue(y1, axis=0), [1, 1, 0]) assert_array_equal(np.sometrue(y1, axis=1), [0, 1, 1])
Example #9
Source File: test_type_check.py From mxnet-lambda with Apache License 2.0 | 5 votes |
def test_fail(self): z = np.array([-1, 0, 1]) res = iscomplex(z) assert_(not np.sometrue(res, axis=0))
Example #10
Source File: test_function_base.py From ImageFusion with MIT License | 5 votes |
def test_nd(self): y1 = [[0, 0, 0], [0, 1, 0], [1, 1, 0]] assert_(np.any(y1)) assert_array_equal(np.sometrue(y1, axis=0), [1, 1, 0]) assert_array_equal(np.sometrue(y1, axis=1), [0, 1, 1])
Example #11
Source File: test_type_check.py From ImageFusion with MIT License | 5 votes |
def test_fail(self): z = np.array([-1, 0, 1]) res = iscomplex(z) assert_(not np.sometrue(res, axis=0))
Example #12
Source File: test_function_base.py From elasticintel with GNU General Public License v3.0 | 5 votes |
def test_nd(self): y1 = [[0, 0, 0], [0, 1, 0], [1, 1, 0]] assert_(np.any(y1)) assert_array_equal(np.sometrue(y1, axis=0), [1, 1, 0]) assert_array_equal(np.sometrue(y1, axis=1), [0, 1, 1])
Example #13
Source File: test_type_check.py From elasticintel with GNU General Public License v3.0 | 5 votes |
def test_fail(self): z = np.array([-1, 0, 1]) res = iscomplex(z) assert_(not np.sometrue(res, axis=0))
Example #14
Source File: test_function_base.py From coffeegrindsize with MIT License | 5 votes |
def test_nd(self): y1 = [[0, 0, 0], [0, 1, 0], [1, 1, 0]] assert_(np.any(y1)) assert_array_equal(np.sometrue(y1, axis=0), [1, 1, 0]) assert_array_equal(np.sometrue(y1, axis=1), [0, 1, 1])
Example #15
Source File: test_type_check.py From recruit with Apache License 2.0 | 5 votes |
def test_fail(self): z = np.array([-1, 0, 1]) res = iscomplex(z) assert_(not np.sometrue(res, axis=0))
Example #16
Source File: functions.py From biskit with GNU General Public License v3.0 | 5 votes |
def sometrue(x, axis=0): return np.sometrue(x, axis)
Example #17
Source File: TemplateFilter.py From biskit with GNU General Public License v3.0 | 5 votes |
def get_filtered( self ): """ @return: the identifiers of the templates that survived the filtering @rtype: [ str ] """ if not N.sometrue(self.filter_mask): self.filter_mask[ N.argmax( self.identities ) ] = 1 r = N.compress( self.filter_mask, self.templates ).tolist() if self.verbose: self.log.add( '%i templates were filtered out' % \ ( len(self.templates) - len(r)) ) return r
Example #18
Source File: test_quantity_non_ufuncs.py From Carnets with BSD 3-Clause "New" or "Revised" License | 5 votes |
def test_sometrue(self): with pytest.raises(TypeError): np.sometrue(self.q)
Example #19
Source File: test_function_base.py From Serverless-Deep-Learning-with-TensorFlow-and-AWS-Lambda with MIT License | 5 votes |
def test_nd(self): y1 = [[0, 0, 0], [0, 1, 0], [1, 1, 0]] assert_(np.any(y1)) assert_array_equal(np.sometrue(y1, axis=0), [1, 1, 0]) assert_array_equal(np.sometrue(y1, axis=1), [0, 1, 1])
Example #20
Source File: test_type_check.py From Serverless-Deep-Learning-with-TensorFlow-and-AWS-Lambda with MIT License | 5 votes |
def test_fail(self): z = np.array([-1, 0, 1]) res = iscomplex(z) assert_(not np.sometrue(res, axis=0))
Example #21
Source File: test_function_base.py From twitter-stock-recommendation with MIT License | 5 votes |
def test_nd(self): y1 = [[0, 0, 0], [0, 1, 0], [1, 1, 0]] assert_(np.any(y1)) assert_array_equal(np.sometrue(y1, axis=0), [1, 1, 0]) assert_array_equal(np.sometrue(y1, axis=1), [0, 1, 1])
Example #22
Source File: test_type_check.py From twitter-stock-recommendation with MIT License | 5 votes |
def test_fail(self): z = np.array([-1, 0, 1]) res = iscomplex(z) assert_(not np.sometrue(res, axis=0))
Example #23
Source File: test_function_base.py From keras-lambda with MIT License | 5 votes |
def test_nd(self): y1 = [[0, 0, 0], [0, 1, 0], [1, 1, 0]] assert_(np.any(y1)) assert_array_equal(np.sometrue(y1, axis=0), [1, 1, 0]) assert_array_equal(np.sometrue(y1, axis=1), [0, 1, 1])
Example #24
Source File: test_type_check.py From keras-lambda with MIT License | 5 votes |
def test_fail(self): z = np.array([-1, 0, 1]) res = iscomplex(z) assert_(not np.sometrue(res, axis=0))
Example #25
Source File: test_function_base.py From Mastering-Elasticsearch-7.0 with MIT License | 5 votes |
def test_nd(self): y1 = [[0, 0, 0], [0, 1, 0], [1, 1, 0]] assert_(np.any(y1)) assert_array_equal(np.sometrue(y1, axis=0), [1, 1, 0]) assert_array_equal(np.sometrue(y1, axis=1), [0, 1, 1])
Example #26
Source File: test_function_base.py From vnpy_crypto with MIT License | 5 votes |
def test_nd(self): y1 = [[0, 0, 0], [0, 1, 0], [1, 1, 0]] assert_(np.any(y1)) assert_array_equal(np.sometrue(y1, axis=0), [1, 1, 0]) assert_array_equal(np.sometrue(y1, axis=1), [0, 1, 1])
Example #27
Source File: test_type_check.py From vnpy_crypto with MIT License | 5 votes |
def test_fail(self): z = np.array([-1, 0, 1]) res = iscomplex(z) assert_(not np.sometrue(res, axis=0))
Example #28
Source File: test_type_check.py From auto-alt-text-lambda-api with MIT License | 5 votes |
def test_fail(self): z = np.array([-1, 0, 1]) res = iscomplex(z) assert_(not np.sometrue(res, axis=0))
Example #29
Source File: functions.py From Computable with MIT License | 5 votes |
def sometrue(array, axis=0): return np.sometrue(array, axis) #clipmode is ignored if axis is not an integer
Example #30
Source File: test_function_base.py From Computable with MIT License | 5 votes |
def test_nd(self): y1 = [[0, 0, 0], [0, 1, 0], [1, 1, 0]] assert_(np.any(y1)) assert_array_equal(np.sometrue(y1, axis=0), [1, 1, 0]) assert_array_equal(np.sometrue(y1, axis=1), [0, 1, 1])