/dports/math/py-Pyomo/Pyomo-6.1.2/pyomo/contrib/pynumero/sparse/tests/ |
H A D | test_block_matrix.py | 164 self.assertTrue(np.allclose(flat_prod.toarray(), prod.toarray())) 173 self.assertTrue(np.allclose(flat_prod.toarray(), prod.toarray())) 308 dense_res = A_block.toarray() + A_block.toarray() 313 dense_res = A_block.toarray() + A_block.toarray() 318 dense_res = A_block.toarray() + 2 * A_block.toarray() 323 dense_res = 2 * A_block.toarray() + A_block.toarray() 328 dense_res = A_block.toarray().T + A_block.toarray() 370 self.assertTrue(np.allclose(A_block.toarray(), mm.toarray())) 373 self.assertTrue(np.allclose(A_block.toarray(), mm.toarray())) 376 dense_r = A_block2.toarray().T - A_block.toarray() [all …]
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H A D | test_mpi_block_matrix.py | 156 self.square_mpi_mat.toarray() 195 self.assertTrue((m == bm.get_block(0, 1)).toarray().all()) 296 self.assertTrue(np.allclose(res.get_block(i, j).toarray().T, 297 mat1.get_block(j, i).toarray())) 430 self.assertTrue(np.allclose(res.get_block(i, j).toarray(), 461 self.assertTrue(np.allclose(bm.get_block(i, j).toarray(), 494 self.assertTrue(np.allclose(bm.get_block(i, j).toarray(), 527 self.assertTrue(np.allclose(bm.get_block(i, j).toarray(), 556 self.assertTrue(np.allclose(bm.get_block(i, j).toarray(), 585 self.assertTrue(np.allclose(res.get_block(i, j).toarray(), [all …]
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/dports/math/py-cvxpy/cvxpy-1.1.17/cvxpy/tests/ |
H A D | test_grad.py | 52 self.assertItemsAlmostEqual(expr.grad[self.A].toarray(), 93 self.assertItemsAlmostEqual(expr.grad[self.A].toarray(), 98 self.assertItemsAlmostEqual(expr.grad[self.A].toarray(), 113 self.assertItemsAlmostEqual(expr.grad[self.A].toarray(), 119 self.assertItemsAlmostEqual(expr.grad[self.A].toarray(), 209 self.assertItemsAlmostEqual(expr.grad[K].toarray(), val) 273 self.assertItemsAlmostEqual(expr.grad[self.A].toarray(), 278 self.assertItemsAlmostEqual(expr.grad[self.A].toarray(), 544 self.assertItemsAlmostEqual(expr.grad[y].toarray(), val) 588 self.assertItemsAlmostEqual(expr.grad[y].toarray(), val) [all …]
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/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/utils/tests/ |
H A D | test_sparsefuncs.py | 601 assert_array_almost_equal(Xr.toarray(), Xc.toarray()) 615 assert_array_almost_equal(Xr.toarray(), Xc.toarray()) 633 assert_array_almost_equal(Xr.toarray(), Xc.toarray()) 666 assert_array_equal(X_csr.toarray(), X_csc.toarray()) 673 assert_array_equal(X_csr.toarray(), X_csc.toarray()) 689 assert_array_equal(X_csr.toarray(), X_csc.toarray()) 695 assert_array_equal(X_csr.toarray(), X_csc.toarray()) 714 assert_array_equal(X_csr.toarray(), X_csc.toarray()) 721 assert_array_equal(X_csr.toarray(), X_csc.toarray()) 737 assert_array_equal(X_csr.toarray(), X_csc.toarray()) [all …]
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/dports/devel/py-qutip/qutip-4.6.2/qutip/tests/ |
H A D | test_sparse.py | 71 x = sp_permute(A.data, perm, perm).toarray() 76 y = sp_permute(B, perm, perm).toarray() 86 x = sp_permute(A.data, rperm, cperm).toarray() 91 y = sp_permute(B, rperm, cperm).toarray() 102 assert_equal((A.full() - B.toarray()).all(), 0) 108 assert_equal((A.full() - B.toarray()).all(), 0) 119 assert_equal((A.full() - B.toarray()).all(), 0) 161 A = A.toarray() 169 A = A.toarray() 180 B = A.toarray() [all …]
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H A D | test_mkl.py | 82 M = sM.toarray() 87 N = sN.toarray() 102 M = sM.toarray() 107 N = sN.toarray() 122 M = sM.toarray() 128 N = sN.toarray() 150 M = sM.toarray() 156 N = sN.toarray() 206 assert_array_almost_equal(x.toarray(), ans)
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/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/datasets/tests/ |
H A D | test_svmlight_format.py | 102 assert_array_equal(X_train.toarray(), X_test.toarray()) 146 assert_array_almost_equal(X.toarray(), Xgz.toarray()) 158 assert_array_almost_equal(X.toarray(), Xbz.toarray()) 250 X_dense = X_sparse.toarray() 297 X2_dense = X2.toarray() 364 X = X.toarray() 411 X = X.toarray() 442 assert_array_equal(X.toarray(), true_X) 469 assert_array_almost_equal(X.toarray(), true_X.toarray()) 508 assert_array_almost_equal(X.toarray(), X_concat.toarray()) [all …]
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/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/svm/tests/ |
H A D | test_sparse.py | 49 dense_svm.fit(X_train.toarray(), y_train) 51 X_test_dense = X_test.toarray() 58 dense_svm.support_vectors_, sparse_svm.support_vectors_.toarray() 137 assert_array_almost_equal(coef_dense, coef_sorted.toarray()) 160 assert_array_almost_equal(coef_unsorted.toarray(), coef_sorted.toarray()) 180 clf = svm.SVC(kernel=k).fit(iris.data.toarray(), iris.target) 183 clf.support_vectors_, sp_clf.support_vectors_.toarray() 269 clf.predict(iris.data.toarray()), sp_clf.predict(iris.data) 274 assert_array_almost_equal(pred, clf.predict(iris.data.toarray())) 516 clf = svm.SVC(kernel="linear").fit(X.toarray(), y) [all …]
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/dports/science/py-scipy/scipy-1.7.1/scipy/sparse/tests/ |
H A D | test_extract.py | 30 assert_equal(A.toarray(), csr_matrix(((I,J),V), shape=A.shape)) 34 B = A.toarray() 36 assert_equal(extract.tril(A,k=k).toarray(), np.tril(B,k=k)) 40 B = A.toarray() 42 assert_equal(extract.triu(A,k=k).toarray(), np.triu(B,k=k))
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H A D | test_matrix_io.py | 32 assert_equal(loaded_matrix.toarray(), dense_matrix) 76 assert_equal(a.toarray(), c.toarray()) 77 assert_equal(b.toarray(), c.toarray())
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/dports/textproc/py-petl/petl-1.7.4/petl/test/io/ |
H A D | test_numpy.py | 10 from petl.io.numpy import toarray, fromarray, torecarray 25 a = toarray(t) 45 a = toarray(t) 85 a = toarray(t, dtype='U4, i2, f4') 105 a = toarray(t, dtype={'foo': 'U4'}) # specify partial dtype 125 a = toarray(t, dtype=[('A', 'U4'), ('B', 'i2'), ('C', 'f4')]) 145 a = toarray(t) 154 a = t.toarray()
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/dports/science/py-cirq-aqt/Cirq-0.12.0/cirq-core/cirq/ops/ |
H A D | projector_test.py | 14 np.testing.assert_allclose(zero_projector.matrix().toarray(), [[1.0, 0.0], [0.0, 0.0]]) 15 np.testing.assert_allclose(one_projector.matrix().toarray(), [[0.0, 0.0], [0.0, 1.0]]) 17 coeff_projector.matrix().toarray(), [[1.23 + 4.56j, 0.0], [0.0, 0.0]] 34 np.testing.assert_allclose(zero_projector.matrix().toarray(), [[1.0, 0.0], [0.0, 0.0]]) 42 np.testing.assert_allclose(proj.matrix().toarray(), np.diag([1.0, 0.0])) 43 np.testing.assert_allclose(proj.matrix([q0]).toarray(), np.diag([1.0, 0.0])) 44 np.testing.assert_allclose(proj.matrix([q1]).toarray(), np.diag([1.0, 1.0])) 46 np.testing.assert_allclose(proj.matrix([q0, q1]).toarray(), np.diag([1.0, 1.0, 0.0, 0.0])) 47 np.testing.assert_allclose(proj.matrix([q1, q0]).toarray(), np.diag([1.0, 0.0, 1.0, 0.0])) 50 proj_with_coefficient.matrix([q1, q0]).toarray(),
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/dports/science/py-cirq-core/Cirq-0.13.1/cirq-core/cirq/ops/ |
H A D | projector_test.py | 14 np.testing.assert_allclose(zero_projector.matrix().toarray(), [[1.0, 0.0], [0.0, 0.0]]) 15 np.testing.assert_allclose(one_projector.matrix().toarray(), [[0.0, 0.0], [0.0, 1.0]]) 17 coeff_projector.matrix().toarray(), [[1.23 + 4.56j, 0.0], [0.0, 0.0]] 34 np.testing.assert_allclose(zero_projector.matrix().toarray(), [[1.0, 0.0], [0.0, 0.0]]) 42 np.testing.assert_allclose(proj.matrix().toarray(), np.diag([1.0, 0.0])) 43 np.testing.assert_allclose(proj.matrix([q0]).toarray(), np.diag([1.0, 0.0])) 44 np.testing.assert_allclose(proj.matrix([q1]).toarray(), np.diag([1.0, 1.0])) 46 np.testing.assert_allclose(proj.matrix([q0, q1]).toarray(), np.diag([1.0, 1.0, 0.0, 0.0])) 47 np.testing.assert_allclose(proj.matrix([q1, q0]).toarray(), np.diag([1.0, 0.0, 1.0, 0.0])) 50 proj_with_coefficient.matrix([q1, q0]).toarray(),
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/dports/science/py-cirq-pasqal/Cirq-0.13.1/cirq-core/cirq/ops/ |
H A D | projector_test.py | 14 np.testing.assert_allclose(zero_projector.matrix().toarray(), [[1.0, 0.0], [0.0, 0.0]]) 15 np.testing.assert_allclose(one_projector.matrix().toarray(), [[0.0, 0.0], [0.0, 1.0]]) 17 coeff_projector.matrix().toarray(), [[1.23 + 4.56j, 0.0], [0.0, 0.0]] 34 np.testing.assert_allclose(zero_projector.matrix().toarray(), [[1.0, 0.0], [0.0, 0.0]]) 42 np.testing.assert_allclose(proj.matrix().toarray(), np.diag([1.0, 0.0])) 43 np.testing.assert_allclose(proj.matrix([q0]).toarray(), np.diag([1.0, 0.0])) 44 np.testing.assert_allclose(proj.matrix([q1]).toarray(), np.diag([1.0, 1.0])) 46 np.testing.assert_allclose(proj.matrix([q0, q1]).toarray(), np.diag([1.0, 1.0, 0.0, 0.0])) 47 np.testing.assert_allclose(proj.matrix([q1, q0]).toarray(), np.diag([1.0, 0.0, 1.0, 0.0])) 50 proj_with_coefficient.matrix([q1, q0]).toarray(),
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/dports/science/py-cirq-google/Cirq-0.13.0/cirq-core/cirq/ops/ |
H A D | projector_test.py | 14 np.testing.assert_allclose(zero_projector.matrix().toarray(), [[1.0, 0.0], [0.0, 0.0]]) 15 np.testing.assert_allclose(one_projector.matrix().toarray(), [[0.0, 0.0], [0.0, 1.0]]) 17 coeff_projector.matrix().toarray(), [[1.23 + 4.56j, 0.0], [0.0, 0.0]] 34 np.testing.assert_allclose(zero_projector.matrix().toarray(), [[1.0, 0.0], [0.0, 0.0]]) 42 np.testing.assert_allclose(proj.matrix().toarray(), np.diag([1.0, 0.0])) 43 np.testing.assert_allclose(proj.matrix([q0]).toarray(), np.diag([1.0, 0.0])) 44 np.testing.assert_allclose(proj.matrix([q1]).toarray(), np.diag([1.0, 1.0])) 46 np.testing.assert_allclose(proj.matrix([q0, q1]).toarray(), np.diag([1.0, 1.0, 0.0, 0.0])) 47 np.testing.assert_allclose(proj.matrix([q1, q0]).toarray(), np.diag([1.0, 0.0, 1.0, 0.0])) 50 proj_with_coefficient.matrix([q1, q0]).toarray(),
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/dports/science/py-cirq-ionq/Cirq-0.13.1/cirq-core/cirq/ops/ |
H A D | projector_test.py | 14 np.testing.assert_allclose(zero_projector.matrix().toarray(), [[1.0, 0.0], [0.0, 0.0]]) 15 np.testing.assert_allclose(one_projector.matrix().toarray(), [[0.0, 0.0], [0.0, 1.0]]) 17 coeff_projector.matrix().toarray(), [[1.23 + 4.56j, 0.0], [0.0, 0.0]] 34 np.testing.assert_allclose(zero_projector.matrix().toarray(), [[1.0, 0.0], [0.0, 0.0]]) 42 np.testing.assert_allclose(proj.matrix().toarray(), np.diag([1.0, 0.0])) 43 np.testing.assert_allclose(proj.matrix([q0]).toarray(), np.diag([1.0, 0.0])) 44 np.testing.assert_allclose(proj.matrix([q1]).toarray(), np.diag([1.0, 1.0])) 46 np.testing.assert_allclose(proj.matrix([q0, q1]).toarray(), np.diag([1.0, 1.0, 0.0, 0.0])) 47 np.testing.assert_allclose(proj.matrix([q1, q0]).toarray(), np.diag([1.0, 0.0, 1.0, 0.0])) 50 proj_with_coefficient.matrix([q1, q0]).toarray(),
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/dports/www/webtrees/webtrees-1.7.18/webtrees/ |
H A D | message.php | 146 $toarray = array($to); variable 148 $toarray = array(); variable 150 $toarray[$user->getUserId()] = $user->getUserName(); 154 $toarray = array(); variable 157 $toarray[$user->getUserId()] = $user->getUserName(); 162 $toarray = array(); variable 166 $toarray[$user->getUserId()] = $user->getUserName(); 169 $toarray[$user->getUserId()] = $user->getUserName(); 174 foreach ($toarray as $indexval => $to) {
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/dports/textproc/kibana7/kibana-7.16.2-darwin-x86_64/node_modules/lodash.toarray/ |
H A D | README.md | 1 # lodash.toarray v4.4.0 10 $ npm i --save lodash.toarray 15 var toArray = require('lodash.toarray'); 18 … source](https://github.com/lodash/lodash/blob/4.4.0-npm-packages/lodash.toarray) for more details.
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/dports/textproc/opensearch-dashboards/opensearch-dashboards-1.2.0-linux-x64/node_modules/lodash.toarray/ |
H A D | README.md | 1 # lodash.toarray v4.4.0 10 $ npm i --save lodash.toarray 15 var toArray = require('lodash.toarray'); 18 … source](https://github.com/lodash/lodash/blob/4.4.0-npm-packages/lodash.toarray) for more details.
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/dports/science/py-scipy/scipy-1.7.1/scipy/sparse/csgraph/tests/ |
H A D | test_flow.py | 54 assert_array_equal(res.residual.toarray(), expected_residual) 64 assert_array_equal(res.residual.toarray(), expected_residual) 90 assert_array_equal(res.residual.toarray(), expected_residual) 111 assert_array_equal(res.residual.toarray(), expected_residual) 124 assert_array_equal(res.residual.toarray(), expected_residual)
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/dports/science/py-libpysal/libpysal-4.5.1/libpysal/weights/tests/ |
H A D | test_adjlist.py | 29 w_from_adj.sparse.toarray(), self.knownW.sparse.toarray() 38 np.testing.assert_allclose(badgrid.sparse.toarray(), grid.sparse.toarray()) 47 np.testing.assert_allclose(badgrid.sparse.toarray(), grid.sparse.toarray()) 73 flat_diffs = allpairs[W.sparse.toarray().astype(bool)]
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H A D | test_nx.py | 21 np.testing.assert_allclose(W_.sparse.toarray(), self.known_amat) 26 self.known_W.sparse.toarray(), nx.to_numpy_matrix(nxsquare) 30 self.known_W.sparse.toarray(), W_square.sparse.toarray()
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/dports/www/phpgroupware/phpgroupware-0.9.16.017/tts/inc/ |
H A D | functions.inc.php | 119 $toarray = Array(); 129 $toarray[$prefs['email']['address']] = $prefs['email']['address']; 133 if(count($toarray) > 1) 135 $to = implode(',',$toarray); 139 $to = current($toarray);
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/dports/math/py-Pyomo/Pyomo-6.1.2/pyomo/contrib/pynumero/examples/ |
H A D | nlp_interface.py | 50 print("Jacobian of Constraints:\n", jac.toarray()) 52 print("Jacobian of Equality Constraints:\n", jac_eq.toarray()) 54 print("Jacobian of Inequality Constraints:\n", jac_ineq.toarray()) 56 print("Hessian of Lagrangian\n", hess_lag.toarray())
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/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/decomposition/tests/ |
H A D | test_truncated_svd.py | 27 X = X_sparse if kind == "sparse" else X_sparse.toarray() 62 Xfmt = X_sparse.toarray() if fmt == "dense" else getattr(X_sparse, "to" + fmt)() 77 assert_allclose(Xinv, X_sparse.toarray(), rtol=1e-1, atol=2e-1) 92 X = X_sparse if kind == "sparse" else X_sparse.toarray() 102 total_variance = np.var(X_sparse.toarray(), axis=0).sum() 115 X = X_sparse if kind == "sparse" else X_sparse.toarray() 179 X_dense = X_sparse.toarray() 202 X = X_sparse if kind == "sparse" else X_sparse.toarray()
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