/dports/science/py-scipy/scipy-1.7.1/scipy/sparse/csgraph/tests/ |
H A D | test_graph_laplacian.py | 12 def _explicit_laplacian(x, normed=False): argument 19 if normed: 27 def _check_symmetric_graph_laplacian(mat, normed): argument 37 laplacian = csgraph.laplacian(mat, normed=normed) 39 if not normed: 43 csgraph.laplacian(sp_mat, normed=normed).todense()) 46 _explicit_laplacian(mat, normed=normed)) 68 for normed in True, False: 85 L = csgraph.laplacian(adj, normed=normed, return_diag=False, 88 L, d = csgraph.laplacian(adj, normed=normed, return_diag=True, [all …]
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/dports/math/vtk9/VTK-9.1.0/Common/DataModel/Testing/Cxx/ |
H A D | TestVector.cxx | 101 vtkVector3d normed = normy.Normalized(); in TestVector() local 102 double dotted = normy.Dot(normed); in TestVector() 105 cerr << "The dot product of " << normy << " and " << normed << " was " << dotted in TestVector() 109 if (!normed.Compare(vtkVector3d(0.267261, 0.534522, 0.801784), 0.0001)) in TestVector() 111 cerr << "Error vtkVector3d::Normalized() failed: " << normed << endl; in TestVector() 115 if (!normy.Compare(normed, 0.0001)) in TestVector() 129 if (!vtkMathUtilities::FuzzyCompare(normy.Dot(normed), 1.0, 0.0001)) in TestVector() 131 cerr << "The dot product of " << normy << " and " << normed << " was " << normy.Dot(normed) in TestVector() 136 if (!normy.Cross(normed).Compare(vtkVector3d(0, 0, 0), 0.0001)) in TestVector() 138 cerr << normy << " cross " << normed << " expected to be 0, got " << normy.Cross(normed) in TestVector() [all …]
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/dports/math/vtk8/VTK-8.2.0/Common/DataModel/Testing/Cxx/ |
H A D | TestVector.cxx | 102 vtkVector3d normed = normy.Normalized(); in TestVector() local 103 double dotted = normy.Dot(normed); in TestVector() 110 if (!normed.Compare(vtkVector3d(0.267261, 0.534522, 0.801784), 0.0001)) in TestVector() 112 cerr << "Error vtkVector3d::Normalized() failed: " << normed << endl; in TestVector() 116 if (!normy.Compare(normed, 0.0001)) in TestVector() 132 if (!vtkMathUtilities::FuzzyCompare(normy.Dot(normed), 1.0, 0.0001)) in TestVector() 135 << normy.Dot(normed) << ", expected 1.0." << endl; in TestVector() 139 if (!normy.Cross(normed).Compare(vtkVector3d(0, 0, 0), 0.0001)) in TestVector() 141 cerr << normy << " cross " << normed << " expected to be 0, got " in TestVector() 142 << normy.Cross(normed) << endl; in TestVector() [all …]
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/dports/math/vtk6/VTK-6.2.0/Common/DataModel/Testing/Cxx/ |
H A D | TestVector.cxx | 102 vtkVector3d normed = normy.Normalized(); in TestVector() local 103 double dotted = normy.Dot(normed); in TestVector() 110 if (!normed.Compare(vtkVector3d(0.267261, 0.534522, 0.801784), 0.0001)) in TestVector() 112 cerr << "Error vtkVector3d::Normalized() failed: " << normed << endl; in TestVector() 116 if (!normy.Compare(normed, 0.0001)) in TestVector() 132 if (!vtkMathUtilities::FuzzyCompare(normy.Dot(normed), 1.0, 0.0001)) in TestVector() 135 << normy.Dot(normed) << ", expected 1.0." << endl; in TestVector() 139 if (!normy.Cross(normed).Compare(vtkVector3d(0, 0, 0), 0.0001)) in TestVector() 141 cerr << normy << " cross " << normed << " expected to be 0, got " in TestVector() 142 << normy.Cross(normed) << endl; in TestVector() [all …]
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/dports/games/xsc/xsc-1.6/ |
H A D | trig.h | 74 float normed = degree; in normalize() local 76 while (normed < 0.0) { in normalize() 77 normed += 360.0; in normalize() 80 while (normed >= 360.0) { in normalize() 81 normed -= 360.0; in normalize() 84 return normed; in normalize()
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/dports/science/py-scipy/scipy-1.7.1/scipy/sparse/csgraph/ |
H A D | _laplacian.py | 16 def laplacian(csgraph, normed=False, return_diag=False, use_out_degree=False): argument 70 if normed and (np.issubdtype(csgraph.dtype, np.signedinteger) 76 lap, d = create_lap(csgraph, normed=normed, axis=degree_axis) 86 def _laplacian_sparse(graph, normed=False, axis=0): argument 94 if normed: 112 def _laplacian_dense(graph, normed=False, axis=0): argument 116 if normed:
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/dports/graphics/tesseract/tesseract-5.0.0/unittest/ |
H A D | denorm_test.cc | 30 TPOINT normed; in ExpectCorrectTransform() local 32 denorm.LocalNormTransform(src, &normed); in ExpectCorrectTransform() 34 denorm.NormTransform(nullptr, src, &normed); in ExpectCorrectTransform() 36 EXPECT_EQ(result.x, normed.x); in ExpectCorrectTransform() 37 EXPECT_EQ(result.y, normed.y); in ExpectCorrectTransform() 41 denorm.LocalDenormTransform(normed, &denormed); in ExpectCorrectTransform() 43 denorm.DenormTransform(nullptr, normed, &denormed); in ExpectCorrectTransform()
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/dports/math/py-statsmodels/statsmodels-0.13.1/statsmodels/sandbox/distributions/ |
H A D | mv_measures.py | 30 def mutualinfo_kde(y, x, normed=True): argument 46 if normed: 52 def mutualinfo_kde_2sample(y, x, normed=True): argument 68 if normed: 74 def mutualinfo_binned(y, x, bins, normed=True): argument 133 if normed: 168 print('mutualinfo_kde ', mutualinfo_kde(y,x, normed=False)) 170 mutualinfo_binned(y, x, 5, normed=True) 175 mutualinfo_binned(y, x, 'auto', normed=True) 185 mutualinfo_binned(y, x, (by,bx), normed=True)
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/dports/math/py-keras/Keras-2.4.3/tests/keras/ |
H A D | constraints_test.py | 36 normed = norm_instance(K.variable(array)) 37 assert(np.all(K.eval(normed) < m)) 53 normed = non_neg_instance(K.variable(get_example_array())) 54 assert(np.all(np.min(K.eval(normed), axis=1) == 0.)) 71 normed = norm_instance(K.variable(array)) 72 value = K.eval(normed)
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/dports/science/py-scipy/scipy-1.7.1/benchmarks/benchmarks/ |
H A D | sparse_csgraph.py | 19 def setup(self, n, format, normed): argument 29 def time_laplacian(self, n, format, normed): argument 30 laplacian(self.A, normed=normed)
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/dports/math/py-chaospy/chaospy-4.3.3/chaospy/expansion/ |
H A D | chebyshev.py | 11 normed=False, argument 48 if normed: 59 normed=False, argument 96 if normed:
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H A D | frontend.py | 22 normed=False, argument 100 order, dist=dist, normed=normed, graded=graded, reverse=reverse,
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H A D | gram_schmidt.py | 9 def gram_schmidt(order, dist, normed=False, graded=True, reverse=True, argument 82 norms.append(1. if normed else norms_) 83 basis[idx] = basis[idx]/numpy.sqrt(norms_) if normed else basis[idx]
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/dports/graphics/py-scikit-image/scikit-image-0.19.0/skimage/feature/tests/ |
H A D | test_texture.py | 136 result = graycomatrix(self.image, [10], [0], 4, normed=True) 143 normed=True, symmetric=True) 153 normed=True, symmetric=True) 160 normed=True, symmetric=True) 167 normed=True, symmetric=True) 170 normed=True, symmetric=True) 183 normed=True, symmetric=True) 199 result = graycomatrix(self.image, [1], [0, 6], 4, normed=True, 205 result = graycomatrix(self.image, [1], [0, 4], 4, normed=True, 211 result = graycomatrix(self.image, [1, 2], [0], 4, normed=True, [all …]
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/dports/science/plumed/plumed2-2.7.2/src/adjmat/ |
H A D | ClusterWithSurface.cpp | 85 …void getInputData( const unsigned& ind, const bool& normed, const multicolvar::AtomValuePack& myat… 87 …MultiValue& getInputDerivatives( const unsigned& ind, const bool& normed, const multicolvar::AtomV… 141 void ClusterWithSurface::getInputData( const unsigned& ind, const bool& normed, const multicolvar::… in getInputData() argument 142 myclusters->getInputData( ind, normed, myatoms, orient0 ); in getInputData() 145 MultiValue& ClusterWithSurface::getInputDerivatives( const unsigned& ind, const bool& normed, const… in getInputDerivatives() argument 146 return myclusters->getInputDerivatives( ind, normed, myatoms ); in getInputDerivatives()
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/dports/graphics/tesseract/tesseract-5.0.0/src/training/ |
H A D | unicharset_extractor.cpp | 50 for (const std::string &normed : normalized) { in AddStringsToUnicharset() local 52 if (normed.empty() || IsUTF8Whitespace(normed.c_str())) { in AddStringsToUnicharset() 55 unicharset->unichar_insert(normed.c_str()); in AddStringsToUnicharset()
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/dports/science/plumed/plumed2-2.7.2/src/vesselbase/ |
H A D | StoreDataVessel.cpp | 103 void StoreDataVessel::retrieveSequentialValue( const unsigned& jelem, const bool& normed, std::vect… in retrieveSequentialValue() argument 107 if( normed && values.size()>2 ) getAction()->normalizeVector( values ); in retrieveSequentialValue() 110 void StoreDataVessel::retrieveValueWithIndex( const unsigned& myelem, const bool& normed, std::vect… in retrieveValueWithIndex() argument 113 retrieveSequentialValue( jelem, normed, values ); in retrieveValueWithIndex() 121 void StoreDataVessel::retrieveDerivatives( const unsigned& myelem, const bool& normed, MultiValue& … in retrieveDerivatives() argument 127 if( normed ) getAction()->normalizeVectorDerivatives( myvals ); in retrieveDerivatives() 139 if( normed ) getAction()->normalizeVectorDerivatives( myvals ); in retrieveDerivatives()
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/dports/textproc/py-gensim/gensim-4.0.1/gensim/models/ |
H A D | callbacks.py | 313 annotation=False, normed=True, logger=None, viz_env=None, title=None): argument 345 self.normed = normed 372 self.diagonal, self.annotation, self.normed 380 annotation=False, normed=True, logger=None, viz_env=None, title=None): argument 412 self.normed = normed 440 self.diagonal, self.annotation, self.normed
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/dports/devel/mercurial/mercurial-6.0/mercurial/cext/ |
H A D | charencode.c | 268 PyObject *normed; in make_file_foldmap() local 270 normed = _asciitransform(k, table, in make_file_foldmap() 273 normed = PyObject_CallFunctionObjArgs( in make_file_foldmap() 277 if (normed == NULL) { in make_file_foldmap() 280 if (PyDict_SetItem(file_foldmap, normed, k) == -1) { in make_file_foldmap() 281 Py_DECREF(normed); in make_file_foldmap() 284 Py_DECREF(normed); in make_file_foldmap()
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/dports/net/py-trio/trio-0.19.0/trio/ |
H A D | _socket.py | 542 (*_, normed), *_ = gai_res 546 normed = list(normed) 547 assert len(normed) == 4 549 normed[2] = address[2] 551 normed[3] = address[3] 552 normed = tuple(normed) 553 return normed
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/dports/math/py-numpy/numpy-1.20.3/numpy/lib/ |
H A D | histograms.py | 673 a, bins=None, range=None, normed=None, weights=None, density=None): argument 678 def histogram(a, bins=10, range=None, normed=None, weights=None, argument 895 if normed is not None: 901 normed = None 906 elif normed: 922 if normed is not None: 931 def _histogramdd_dispatcher(sample, bins=None, range=None, normed=None, argument 943 def histogramdd(sample, bins=10, range=None, normed=None, weights=None, argument 1107 if normed is None: 1112 density = normed
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/dports/graphics/opencv/opencv-4.5.3/contrib/modules/face/src/ |
H A D | lbph_faces.cpp | 271 histc_(const Mat& src, int minVal=0, int maxVal=255, bool normed=false) in histc_() argument 282 if(normed) { in histc_() 288 static Mat histc(InputArray _src, int minVal, int maxVal, bool normed) in histc() argument 293 return histc_(Mat_<float>(src), minVal, maxVal, normed); in histc() 296 return histc_(src, minVal, maxVal, normed); in histc() 299 return histc_(Mat_<float>(src), minVal, maxVal, normed); in histc() 302 return histc_(src, minVal, maxVal, normed); in histc() 305 return histc_(Mat_<float>(src), minVal, maxVal, normed); in histc() 308 return histc_(src, minVal, maxVal, normed); in histc()
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/dports/science/elmerfem/elmerfem-release-9.0/elmerice/examples/Inverse_Methods/DATA/ |
H A D | PlotHist.py | 26 plt.hist(du , bins=25, normed=True, alpha=0.6, color='g') 32 plt.hist(u , bins=25, normed=True, alpha=0.6, color='g') 44 plt.hist(v , bins=25, normed=True, alpha=0.6, color='g')
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/dports/science/elmerfem/elmerfem-release-9.0/elmerice/examples/Inverse_Methods/SCRIPTS/ |
H A D | PlotHist.py | 44 plt.hist(du , bins=25, normed=True, alpha=0.6, color='g') 50 plt.hist(u , bins=25, normed=True, alpha=0.6, color='g') 62 plt.hist(v , bins=25, normed=True, alpha=0.6, color='g')
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/dports/devel/py-weblib/weblib-0.1.30/weblib/ |
H A D | w3lib_encoding.py | 91 normed = encodings.normalize_encoding(encoding).lower() 92 return encodings.aliases.aliases.get(normed, normed)
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