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/external/python/cpython3/Lib/test/
Dtest_string_literals.py82 self.assertEqual(eval(""" 'x' """), 'x')
83 self.assertEqual(eval(r""" '\x01' """), chr(1))
84 self.assertEqual(eval(""" '\x01' """), chr(1))
85 self.assertEqual(eval(r""" '\x81' """), chr(0x81))
86 self.assertEqual(eval(""" '\x81' """), chr(0x81))
87 self.assertEqual(eval(r""" '\u1881' """), chr(0x1881))
88 self.assertEqual(eval(""" '\u1881' """), chr(0x1881))
89 self.assertEqual(eval(r""" '\U0001d120' """), chr(0x1d120))
90 self.assertEqual(eval(""" '\U0001d120' """), chr(0x1d120))
93 self.assertRaises(SyntaxError, eval, r""" '\x' """)
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Dtest_opcodes.py98 f = eval('lambda: None')
99 g = eval('lambda: None')
102 f = eval('lambda a: a')
103 g = eval('lambda a: a')
106 f = eval('lambda a=1: a')
107 g = eval('lambda a=1: a')
110 f = eval('lambda: 0')
111 g = eval('lambda: 1')
114 f = eval('lambda: None')
115 g = eval('lambda a: None')
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/external/tensorflow/tensorflow/python/kernel_tests/
Dsparse_split_op_test.py85 self.assertAllEqual(sp_tensors[0].indices.eval(), [[0, 0], [0, 2], [0, 4],
88 self.assertAllEqual(sp_tensors[0].values.eval(), [0, 2, 4, 5, 11, 13, 14])
89 self.assertAllEqual(sp_tensors[0].dense_shape.eval(), [2, 6])
90 self.assertAllEqual(sp_tensors[1].indices.eval(), [[0, 0], [0, 3], [0, 5],
93 self.assertAllEqual(sp_tensors[1].values.eval(),
95 self.assertAllEqual(sp_tensors[1].dense_shape.eval(), [2, 6])
103 self.assertAllEqual(sp_tensors_3[0].indices.eval(),
106 self.assertAllEqual(sp_tensors_3[0].values.eval(),
108 self.assertAllEqual(sp_tensors_3[0].dense_shape.eval(), [5, 3])
109 self.assertAllEqual(sp_tensors_3[1].indices.eval(),
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Dsparse_slice_op_test.py90 sp_tensor0.indices.eval(),
92 self.assertAllEqual(sp_tensor0.values.eval(), [0, 2, 4, 5, 11, 13, 14])
93 self.assertAllEqual(sp_tensor0.dense_shape.eval(), [2, 6])
95 sp_tensor1.indices.eval(),
97 self.assertAllEqual(sp_tensor1.values.eval(),
99 self.assertAllEqual(sp_tensor1.dense_shape.eval(), [2, 6])
110 sp_tensor0.indices.eval(),
112 self.assertAllEqual(sp_tensor0.values.eval(), [0, 2, 11, 20, 30, 32, 41])
113 self.assertAllEqual(sp_tensor0.dense_shape.eval(), [5, 3])
114 self.assertAllEqual(sp_tensor1.indices.eval(),
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Dinplace_ops_test.py40 self.assertAllClose(x.eval(), y)
43 self.assertAllClose(x.eval(), y)
47 self.assertAllClose(x.eval(), y)
50 self.assertAllClose(x.eval(), y)
57 self.assertAllClose(x.eval(), y)
61 self.assertAllClose(x.eval(), y)
65 self.assertAllClose(x.eval(), y)
68 self.assertAllClose(x.eval(), y)
76 self.assertAllClose(x.eval(), y)
79 self.assertAllClose(x.eval(), y)
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/external/tensorflow/tensorflow/tools/compatibility/testdata/
Dtest_file_v0_11.py48 b, reduction_indices=dim0).eval(), [True, True])
51 b, reduction_indices=[0]).eval(), [False, False, False])
54 b, reduction_indices=dim1).eval(), [False, False])
57 a, reduction_indices=[1]).eval(), [6., 15.])
60 a, reduction_indices=[0, 1]).eval(), 21.0)
61 self.assertAllEqual(tf.reduce_sum(a, [0, 1]).eval(), 21.0)
64 a, reduction_indices=[1]).eval(), [6., 120.])
67 a, reduction_indices=[0, 1]).eval(), 720.0)
68 self.assertAllEqual(tf.reduce_prod(a, [0, 1]).eval(), 720.0)
71 a, reduction_indices=[1]).eval(), [2., 5.])
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/external/tensorflow/tensorflow/contrib/tensor_forest/kernels/v4/
Ddecision_node_evaluator_test.cc34 std::unique_ptr<InequalityDecisionNodeEvaluator> eval( in TEST() local
41 ASSERT_EQ(eval->Decide(dataset, 2), 0); in TEST()
42 ASSERT_EQ(eval->Decide(dataset, 3), 0); in TEST()
43 ASSERT_EQ(eval->Decide(dataset, 4), 1); in TEST()
51 std::unique_ptr<InequalityDecisionNodeEvaluator> eval( in TEST() local
58 ASSERT_EQ(eval->Decide(dataset, 2), 0); in TEST()
59 ASSERT_EQ(eval->Decide(dataset, 3), 1); in TEST()
60 ASSERT_EQ(eval->Decide(dataset, 4), 1); in TEST()
68 std::unique_ptr<InequalityDecisionNodeEvaluator> eval( in TEST() local
75 ASSERT_EQ(eval->Decide(dataset, 2), 1); in TEST()
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/external/eigen/unsupported/Eigen/CXX11/src/Tensor/
DTensorSyclExtractAccessor.h46 template<typename Arg> static inline auto getTuple(cl::sycl::handler& cgh, Arg eval)
47 -> decltype(ExtractAccessor<Arg>::getTuple(cgh, eval)) {
48 return ExtractAccessor<Arg>::getTuple(cgh, eval);
59 …l::access::mode AcM, typename Arg> static inline auto getAccessor(cl::sycl::handler& cgh, Arg eval)
60 -> decltype(utility::tuple::make_tuple( eval.device().template get_sycl_accessor<AcM,
61 …ternal::remove_all<typename Arg::CoeffReturnType>::type>(eval.dimensions().TotalSize(), cgh,eval.d…
62 …eval.device().template get_sycl_accessor<AcM, typename Eigen::internal::remove_all<typename Arg::C…
70 …getTuple(cl::sycl::handler& cgh, const TensorEvaluator<const UnaryCategory<OP, RHSExpr>, Dev> eval)
71 -> decltype(AccessorConstructor::getTuple(cgh, eval.impl())){
72 return AccessorConstructor::getTuple(cgh, eval.impl());
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/external/tensorflow/tensorflow/contrib/distributions/python/kernel_tests/
Dcauchy_test.py54 is_finite = np.isfinite(tensor.eval())
62 self.assertAllEqual(expected, loc_shape.eval())
63 self.assertAllEqual(expected, scale_shape.eval())
68 cauchy_lib.Cauchy(loc, scale).sample()).eval())
96 self.assertAllEqual(cauchy.batch_shape_tensor().eval(), log_pdf.shape)
97 self.assertAllEqual(cauchy.batch_shape_tensor().eval(),
98 log_pdf.eval().shape)
100 self.assertAllEqual(cauchy.batch_shape, log_pdf.eval().shape)
103 self.assertAllEqual(cauchy.batch_shape_tensor().eval(), pdf.shape)
104 self.assertAllEqual(cauchy.batch_shape_tensor().eval(), pdf.eval().shape)
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Dbinomial_test.py34 self.assertAllEqual([], binom.event_shape_tensor().eval())
35 self.assertAllEqual([], binom.batch_shape_tensor().eval())
44 self.assertAllEqual([], binom.event_shape_tensor().eval())
45 self.assertAllEqual([3, 2], binom.batch_shape_tensor().eval())
56 self.assertAllClose(n, binom.total_count.eval())
64 self.assertAllClose(p, binom.probs.eval())
72 self.assertAllClose(logits, binom.logits.eval())
79 binom.prob([2., 3, 2]).eval()
80 binom.prob([3., 1, 2]).eval()
81 binom.cdf([2., 3, 2]).eval()
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Dhalf_normal_test.py53 is_finite = np.isfinite(tensor.eval())
61 self.assertAllEqual(expected, scale_shape.eval())
65 array_ops.shape(hn_lib.HalfNormal(scale).sample()).eval())
73 self.assertAllEqual(dist.batch_shape_tensor().eval(), tensor.shape)
74 self.assertAllEqual(dist.batch_shape_tensor().eval(), tensor.eval().shape)
76 self.assertAllEqual(dist.batch_shape, tensor.eval().shape)
104 expected_log_pdf = stats.halfnorm(scale=scale.eval()).logpdf(x)
105 self.assertAllClose(expected_log_pdf, log_pdf.eval())
106 self.assertAllClose(np.exp(expected_log_pdf), pdf.eval())
123 expected_log_pdf = stats.halfnorm(scale=scale.eval()).logpdf(x)
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Ddeterministic_test.py36 self.assertAllEqual(deterministic.batch_shape_tensor().eval(), (2, 3, 4))
38 self.assertAllEqual(deterministic.event_shape_tensor().eval(), [])
47 deterministic.prob(0.).eval()
52 self.assertAllClose(1, deterministic.prob(0).eval())
53 self.assertAllClose(0, deterministic.prob(2).eval())
54 self.assertAllClose([1, 0], deterministic.prob([0, 2]).eval())
59 self.assertAllClose(1., deterministic.prob(0.).eval())
60 self.assertAllClose(0., deterministic.prob(2.).eval())
61 self.assertAllClose([1., 0.], deterministic.prob([0., 2.]).eval())
71 self.assertAllEqual(expected_prob, prob.eval())
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Dwishart_test.py60 self.assertAllClose(6.301387092430769, w.entropy().eval())
64 self.assertAllClose(0.78375711047393404, w.entropy().eval())
73 + 0.5 * w.df * w.dimension).eval()
77 self.assertAllClose(w.entropy().eval(), entropy_alt(w))
80 self.assertAllClose(w.entropy().eval(), entropy_alt(w))
87 self.assertAllEqual(df * scale, w.mean().eval())
94 self.assertAllEqual((df - 2. - 1.) * scale, w.mode().eval())
101 self.assertAllEqual(chol(wishart_var(df, scale)), w.stddev().eval())
108 self.assertAllEqual(wishart_var(df, scale), w.variance().eval())
118 x = chol_w.sample(1, seed=42).eval()
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/external/python/cpython2/Lib/test/
Dtest_compile.py36 self.assertRaises(SyntaxError, eval, 'lambda a,a:0')
37 self.assertRaises(SyntaxError, eval, 'lambda a,a=1:0')
38 self.assertRaises(SyntaxError, eval, 'lambda a=1,a=1:0')
230 self.assertRaises(SyntaxError, eval, "2e")
231 self.assertRaises(SyntaxError, eval, "2.0e+")
232 self.assertRaises(SyntaxError, eval, "1e-")
233 self.assertRaises(SyntaxError, eval, "3-4e/21")
258 self.assertRaises(SyntaxError, eval, arg)
260 self.assertEqual(eval("0777"), 511)
261 self.assertEqual(eval("0777L"), 511)
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Dtest_opcodes.py73 f = eval('lambda: None')
74 g = eval('lambda: None')
77 f = eval('lambda a: a')
78 g = eval('lambda a: a')
81 f = eval('lambda a=1: a')
82 g = eval('lambda a=1: a')
85 f = eval('lambda: 0')
86 g = eval('lambda: 1')
89 f = eval('lambda: None')
90 g = eval('lambda a: None')
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/external/tensorflow/tensorflow/contrib/linear_optimizer/python/kernel_tests/
Dsdca_ops_test.py263 self.assertAllClose(0.693147, unregularized_loss.eval())
264 self.assertAllClose(0.693147, loss.eval())
276 self.assertAllClose(0.411608, unregularized_loss.eval(), atol=0.05)
277 self.assertAllClose(0.525457, loss.eval(), atol=0.01)
279 self.assertAllEqual([0, 1], predicted_labels.eval())
281 0.01, lr.approximate_duality_gap().eval(), rtol=1e-2, atol=1e-2)
311 self.assertAllClose(0.693147, unregularized_loss.eval())
312 self.assertAllClose(0.693147, loss.eval())
324 self.assertAllClose(0.411608, unregularized_loss.eval(), atol=0.05)
325 self.assertAllClose(0.525457, loss.eval(), atol=0.01)
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/external/eigen/test/
Dmixingtypes.cpp140 …VERIFY_IS_APPROX((vf * vcf.transpose()).eval(), (vf.template cast<complex<float> >() * vcf.transpo… in mixingtypes()
144 …VERIFY_IS_APPROX((vf * vcf.transpose()).eval(), (vf.template cast<complex<float> >() * vcf.transpo… in mixingtypes()
150 VERIFY_IS_APPROX(sd*md*mcd, (sd*md).template cast<CD>().eval()*mcd); in mixingtypes()
152 VERIFY_IS_APPROX(scd*md*mcd, scd*md.template cast<CD>().eval()*mcd); in mixingtypes()
160 VERIFY_IS_APPROX(sd*md.adjoint()*mcd, (sd*md).template cast<CD>().eval().adjoint()*mcd); in mixingtypes()
162 …VERIFY_IS_APPROX(sd*md.adjoint()*mcd.adjoint(), (sd*md).template cast<CD>().eval().adjoint()*mcd.a… in mixingtypes()
164 VERIFY_IS_APPROX(sd*md*mcd.adjoint(), (sd*md).template cast<CD>().eval()*mcd.adjoint()); in mixingtypes()
167 VERIFY_IS_APPROX(sf*mf.adjoint()*mcf, (sf*mf).template cast<CF>().eval().adjoint()*mcf); in mixingtypes()
169 …VERIFY_IS_APPROX(sf*mf.adjoint()*mcf.adjoint(), (sf*mf).template cast<CF>().eval().adjoint()*mcf.a… in mixingtypes()
171 VERIFY_IS_APPROX(sf*mf*mcf.adjoint(), (sf*mf).template cast<CF>().eval()*mcf.adjoint()); in mixingtypes()
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Drvalue_types.cpp48 CALL_SUBTEST_1(rvalue_copyassign( MatrixXf::Random(50,50).eval() )); in test_rvalue_types()
49 CALL_SUBTEST_1(rvalue_copyassign( ArrayXXf::Random(50,50).eval() )); in test_rvalue_types()
51 CALL_SUBTEST_1(rvalue_copyassign( Matrix<float,1,Dynamic>::Random(50).eval() )); in test_rvalue_types()
52 CALL_SUBTEST_1(rvalue_copyassign( Array<float,1,Dynamic>::Random(50).eval() )); in test_rvalue_types()
54 CALL_SUBTEST_1(rvalue_copyassign( Matrix<float,Dynamic,1>::Random(50).eval() )); in test_rvalue_types()
55 CALL_SUBTEST_1(rvalue_copyassign( Array<float,Dynamic,1>::Random(50).eval() )); in test_rvalue_types()
57 CALL_SUBTEST_2(rvalue_copyassign( Array<float,2,1>::Random().eval() )); in test_rvalue_types()
58 CALL_SUBTEST_2(rvalue_copyassign( Array<float,3,1>::Random().eval() )); in test_rvalue_types()
59 CALL_SUBTEST_2(rvalue_copyassign( Array<float,4,1>::Random().eval() )); in test_rvalue_types()
61 CALL_SUBTEST_2(rvalue_copyassign( Array<float,2,2>::Random().eval() )); in test_rvalue_types()
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/external/tensorflow/tensorflow/contrib/optimizer_v2/
Dgradient_descent_test.py47 self.assertAllCloseAccordingToType([1.0, 2.0], var0.eval())
48 self.assertAllCloseAccordingToType([3.0, 4.0], var1.eval())
53 var0.eval())
55 var1.eval())
73 self.assertAllCloseAccordingToType([1.0, 2.0], var0.eval())
74 self.assertAllCloseAccordingToType([3.0, 4.0], var1.eval())
79 var0.eval())
81 var1.eval())
98 self.assertAllCloseAccordingToType([[1.0, 2.0]], var0.eval())
99 self.assertAllCloseAccordingToType([3.0], var1.eval())
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Drmsprop_test.py140 self.assertAllClose([1.0, 2.0], var0.eval())
141 self.assertAllClose([3.0, 4.0], var1.eval())
156 self.assertAllCloseAccordingToType(mg0_np, mg0.eval())
157 self.assertAllCloseAccordingToType(mg1_np, mg1.eval())
158 self.assertAllCloseAccordingToType(rms0_np, rms0.eval())
159 self.assertAllCloseAccordingToType(rms1_np, rms1.eval())
160 self.assertAllCloseAccordingToType(mom0_np, mom0.eval())
161 self.assertAllCloseAccordingToType(mom1_np, mom1.eval())
164 var0_np, var0.eval(), half_rtol=3e-3, half_atol=3e-3)
166 var1_np, var1.eval(), half_rtol=3e-3, half_atol=3e-3)
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Dadagrad_test.py54 self.assertAllClose([1.0, 2.0], var0.eval())
55 self.assertAllClose([3.0, 4.0], var1.eval())
61 np.array([-1.6026098728179932, -0.6026098728179932]), var0.eval())
63 np.array([2.715679168701172, 3.715679168701172]), var1.eval())
83 [[1.0, 2.0], [3.0, 4.0]], var0.eval())
88 [[0, 1], [3, 4]], var0.eval(), atol=0.01)
103 self.assertAllClose([1.0, 2.0], var0.eval())
104 self.assertAllClose([3.0, 4.0], var1.eval())
110 np.array([-1.6026098728179932, -0.6026098728179932]), var0.eval())
112 np.array([2.715679168701172, 3.715679168701172]), var1.eval())
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/external/tensorflow/tensorflow/contrib/layers/python/layers/
Dfeature_column_ops_test.py53 self.assertAllEqual(output.eval(), [[20.], [110], [-3]])
64 self.assertAllEqual(output.values.eval(), rating_tensor.values.eval())
65 self.assertAllEqual(output.indices.eval(), rating_tensor.indices.eval())
66 self.assertAllEqual(output.dense_shape.eval(),
67 rating_tensor.dense_shape.eval())
84 self.assertArrayNear(output.values.eval(), [4.0, 25.0], 1e-5)
85 self.assertAllEqual(output.indices.eval(), rating_tensor.indices.eval())
86 self.assertAllEqual(output.dense_shape.eval(),
87 rating_tensor.dense_shape.eval())
101 self.assertAllEqual(output[bucket].eval(), [[2], [3], [0]])
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/external/mesa3d/src/mesa/vbo/
Dvbo_exec_eval.c38 assert(attr < ARRAY_SIZE(exec->eval.map1)); in clear_active_eval1()
39 exec->eval.map1[attr].map = NULL; in clear_active_eval1()
44 assert(attr < ARRAY_SIZE(exec->eval.map2)); in clear_active_eval2()
45 exec->eval.map2[attr].map = NULL; in clear_active_eval2()
51 assert(attr < ARRAY_SIZE(exec->eval.map1)); in set_active_eval1()
52 if (!exec->eval.map1[attr].map) { in set_active_eval1()
53 exec->eval.map1[attr].map = map; in set_active_eval1()
54 exec->eval.map1[attr].sz = dim; in set_active_eval1()
61 assert(attr < ARRAY_SIZE(exec->eval.map2)); in set_active_eval2()
62 if (!exec->eval.map2[attr].map) { in set_active_eval2()
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/external/tensorflow/tensorflow/contrib/opt/python/training/
Dreg_adagrad_optimizer_test.py54 self.assertAllClose([1.0, 2.0], var0.eval())
55 self.assertAllClose([3.0, 4.0], var1.eval())
61 np.array([-1.6026098728179932, -0.6026098728179932]), var0.eval())
63 np.array([2.715679168701172, 3.715679168701172]), var1.eval())
86 var0.eval())
91 [[0, 1], [3, 4]], var0.eval(), atol=0.01)
106 self.assertAllClose([1.0, 2.0], var0.eval())
107 self.assertAllClose([3.0, 4.0], var1.eval())
113 np.array([-1.6026098728179932, -0.6026098728179932]), var0.eval())
115 np.array([2.715679168701172, 3.715679168701172]), var1.eval())
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/external/ply/ply/example/BASIC/
Dbasinterp.py17 'SIN': lambda z: math.sin(self.eval(z)),
18 'COS': lambda z: math.cos(self.eval(z)),
19 'TAN': lambda z: math.tan(self.eval(z)),
20 'ATN': lambda z: math.atan(self.eval(z)),
21 'EXP': lambda z: math.exp(self.eval(z)),
22 'ABS': lambda z: abs(self.eval(z)),
23 'LOG': lambda z: math.log(self.eval(z)),
24 'SQR': lambda z: math.sqrt(self.eval(z)),
25 'INT': lambda z: int(self.eval(z)),
70 def eval(self, expr): member in BasicInterpreter
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