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/external/zopfli/src/zopfli/
Dutil.c28 int ZopfliGetDistExtraBits(int dist) { in ZopfliGetDistExtraBits() argument
30 if (dist < 5) return 0; in ZopfliGetDistExtraBits()
31 return (31 ^ __builtin_clz(dist - 1)) - 1; /* log2(dist - 1) - 1 */ in ZopfliGetDistExtraBits()
33 if (dist < 5) return 0; in ZopfliGetDistExtraBits()
34 else if (dist < 9) return 1; in ZopfliGetDistExtraBits()
35 else if (dist < 17) return 2; in ZopfliGetDistExtraBits()
36 else if (dist < 33) return 3; in ZopfliGetDistExtraBits()
37 else if (dist < 65) return 4; in ZopfliGetDistExtraBits()
38 else if (dist < 129) return 5; in ZopfliGetDistExtraBits()
39 else if (dist < 257) return 6; in ZopfliGetDistExtraBits()
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/external/python/setuptools/setuptools/tests/
Dtest_config.py4 from setuptools.dist import Distribution
50 dist = Distribution(kwargs_initial)
51 dist.script_name = 'setup.py'
52 parse and dist.parse_config_files()
54 yield dist
130 with get_dist(tmpdir, meta_initial) as dist:
131 metadata = dist.metadata
156 with get_dist(tmpdir) as dist:
157 assert dist.metadata.long_description == (
170 with get_dist(tmpdir, parse=False) as dist:
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Dtest_setuptools.py15 import setuptools.dist
128 self.dist = makeSetup(
136 assert isinstance(self.dist, setuptools.dist.Distribution)
139 self.dist.exclude_package('a')
140 assert self.dist.packages == ['b', 'c']
142 self.dist.exclude_package('b')
143 assert self.dist.packages == ['c']
144 assert self.dist.py_modules == ['x']
145 assert self.dist.ext_modules == [self.e1, self.e2]
147 self.dist.exclude_package('c')
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/external/tensorflow/tensorflow/python/kernel_tests/distributions/
Dbernoulli_test.py64 dist = bernoulli.Bernoulli(probs=p)
65 self.assertAllClose(p, self.evaluate(dist.probs))
70 dist = bernoulli.Bernoulli(logits=logits)
71 self.assertAllClose(logits, self.evaluate(dist.logits))
76 self.assertAllClose(special.expit(logits), self.evaluate(dist.probs))
79 dist = bernoulli.Bernoulli(probs=p)
80 self.assertAllClose(special.logit(p), self.evaluate(dist.logits))
87 dist = bernoulli.Bernoulli(probs=p, validate_args=True)
88 self.evaluate(dist.probs)
93 dist = bernoulli.Bernoulli(probs=p, validate_args=True)
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Dcategorical_test.py51 dist = categorical.Categorical(probs=p)
53 self.assertAllClose(p, dist.probs.eval())
54 self.assertAllEqual([2], dist.logits.get_shape())
60 dist = categorical.Categorical(logits=logits)
62 self.assertAllEqual([2], dist.probs.get_shape())
63 self.assertAllEqual([2], dist.logits.get_shape())
64 self.assertAllClose(dist.probs.eval(), p)
65 self.assertAllClose(dist.logits.eval(), logits)
71 dist = make_categorical(batch_shape, 10)
72 self.assertAllEqual(batch_shape, dist.batch_shape)
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Ddirichlet_multinomial_test.py44 dist = ds.DirichletMultinomial(1., alpha)
45 self.assertEqual(3, dist.event_shape_tensor().eval())
46 self.assertAllEqual([], dist.batch_shape_tensor().eval())
47 self.assertEqual(tensor_shape.TensorShape([3]), dist.event_shape)
48 self.assertEqual(tensor_shape.TensorShape([]), dist.batch_shape)
55 dist = ds.DirichletMultinomial(n, alpha)
56 self.assertEqual(2, dist.event_shape_tensor().eval())
57 self.assertAllEqual([3, 2], dist.batch_shape_tensor().eval())
58 self.assertEqual(tensor_shape.TensorShape([2]), dist.event_shape)
59 self.assertEqual(tensor_shape.TensorShape([3, 2]), dist.batch_shape)
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Dmultinomial_test.py41 dist = multinomial.Multinomial(total_count=1., probs=p)
42 self.assertEqual(3, dist.event_shape_tensor().eval())
43 self.assertAllEqual([], dist.batch_shape_tensor().eval())
44 self.assertEqual(tensor_shape.TensorShape([3]), dist.event_shape)
45 self.assertEqual(tensor_shape.TensorShape([]), dist.batch_shape)
52 dist = multinomial.Multinomial(total_count=n, probs=p)
53 self.assertEqual(2, dist.event_shape_tensor().eval())
54 self.assertAllEqual([3, 2], dist.batch_shape_tensor().eval())
55 self.assertEqual(tensor_shape.TensorShape([2]), dist.event_shape)
56 self.assertEqual(tensor_shape.TensorShape([3, 2]), dist.batch_shape)
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Dbeta_test.py55 dist = beta_lib.Beta(a, b)
56 self.assertAllEqual([], self.evaluate(dist.event_shape_tensor()))
57 self.assertAllEqual([3], self.evaluate(dist.batch_shape_tensor()))
58 self.assertEqual(tensor_shape.TensorShape([]), dist.event_shape)
59 self.assertEqual(tensor_shape.TensorShape([3]), dist.batch_shape)
64 dist = beta_lib.Beta(a, b)
65 self.assertAllEqual([], self.evaluate(dist.event_shape_tensor()))
66 self.assertAllEqual([3, 2, 2], self.evaluate(dist.batch_shape_tensor()))
67 self.assertEqual(tensor_shape.TensorShape([]), dist.event_shape)
68 self.assertEqual(tensor_shape.TensorShape([3, 2, 2]), dist.batch_shape)
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Ddirichlet_test.py53 dist = dirichlet_lib.Dirichlet(alpha)
54 self.assertEqual(3, self.evaluate(dist.event_shape_tensor()))
55 self.assertAllEqual([], self.evaluate(dist.batch_shape_tensor()))
56 self.assertEqual(tensor_shape.TensorShape([3]), dist.event_shape)
57 self.assertEqual(tensor_shape.TensorShape([]), dist.batch_shape)
61 dist = dirichlet_lib.Dirichlet(alpha)
62 self.assertEqual(2, self.evaluate(dist.event_shape_tensor()))
63 self.assertAllEqual([3, 2], self.evaluate(dist.batch_shape_tensor()))
64 self.assertEqual(tensor_shape.TensorShape([2]), dist.event_shape)
65 self.assertEqual(tensor_shape.TensorShape([3, 2]), dist.batch_shape)
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/external/tensorflow/tensorflow/contrib/distributions/python/kernel_tests/
Donehot_categorical_test.py46 dist = onehot_categorical.OneHotCategorical(probs=p)
48 self.assertAllClose(p, dist.probs.eval())
49 self.assertAllEqual([2], dist.logits.get_shape())
54 dist = onehot_categorical.OneHotCategorical(logits=logits)
56 self.assertAllEqual([2], dist.probs.get_shape())
57 self.assertAllEqual([2], dist.logits.get_shape())
58 self.assertAllClose(dist.probs.eval(), p)
59 self.assertAllClose(dist.logits.eval(), logits)
64 dist = make_onehot_categorical(batch_shape, 10)
65 self.assertAllEqual(batch_shape, dist.batch_shape.as_list())
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Drelaxed_onehot_categorical_test.py46 dist = relaxed_onehot_categorical.ExpRelaxedOneHotCategorical(temperature,
50 self.assertAllClose(expected_p, dist.probs.eval())
51 self.assertAllEqual([3], dist.probs.get_shape())
58 dist = relaxed_onehot_categorical.ExpRelaxedOneHotCategorical(temperature,
61 x = dist.sample().eval()
66 pdf = dist.prob(x).eval()
75 dist = relaxed_onehot_categorical.RelaxedOneHotCategorical(temperature,
79 self.assertAllClose(logits, dist._distribution.logits.eval())
80 self.assertAllEqual([3], dist._distribution.logits.get_shape())
87 dist = relaxed_onehot_categorical.RelaxedOneHotCategorical(temperature,
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Dlogistic_test.py37 dist = logistic.Logistic(loc, scale)
39 dist.reparameterization_type == distribution.FULLY_REPARAMETERIZED)
48 dist = logistic.Logistic(loc, scale)
51 log_prob = dist.log_prob(x)
55 prob = dist.prob(x)
66 dist = logistic.Logistic(loc, scale)
68 cdf = dist.cdf(x)
81 dist = logistic.Logistic(loc, scale)
83 logcdf = dist.log_cdf(x)
96 dist = logistic.Logistic(loc, scale)
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Drelaxed_bernoulli_test.py36 dist = relaxed_bernoulli.RelaxedBernoulli(temperature, probs=p)
38 self.assertAllClose(p, dist.probs.eval())
43 dist = relaxed_bernoulli.RelaxedBernoulli(temperature, logits=logits)
45 self.assertAllClose(logits, dist.logits.eval())
48 self.assertAllClose(scipy.special.expit(logits), dist.probs.eval())
51 dist = relaxed_bernoulli.RelaxedBernoulli(temperature, probs=p)
53 self.assertAllClose(scipy.special.logit(p), dist.logits.eval())
61 dist = relaxed_bernoulli.RelaxedBernoulli(temperature,
64 dist.probs.eval()
70 dist = relaxed_bernoulli.RelaxedBernoulli(temperature,
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Dkumaraswamy_test.py83 dist = kumaraswamy_lib.Kumaraswamy(a, b)
84 self.assertAllEqual([], dist.event_shape_tensor().eval())
85 self.assertAllEqual([3], dist.batch_shape_tensor().eval())
86 self.assertEqual(tensor_shape.TensorShape([]), dist.event_shape)
87 self.assertEqual(tensor_shape.TensorShape([3]), dist.batch_shape)
93 dist = kumaraswamy_lib.Kumaraswamy(a, b)
94 self.assertAllEqual([], dist.event_shape_tensor().eval())
95 self.assertAllEqual([3, 2, 2], dist.batch_shape_tensor().eval())
96 self.assertEqual(tensor_shape.TensorShape([]), dist.event_shape)
97 self.assertEqual(tensor_shape.TensorShape([3, 2, 2]), dist.batch_shape)
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/external/selinux/python/sepolgen/src/sepolgen/
Dmatching.py32 def __init__(self, interface=None, dist=0): argument
34 self.dist = dist
42 a = (self.dist, self.info_dir_change)
43 b = (other.dist, other.info_dir_change)
80 if match.dist <= self.threshold:
163 dist = 0
167 dist += self.type_distance(req.src_type, prov.src_type)
168 dist += self.type_distance(req.tgt_type, prov.tgt_type)
172 dist -= self.obj_penalty
179 if dist < 0:
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/external/python/cpython2/Lib/distutils/tests/
Dtest_dist.py11 from distutils.dist import Distribution, fix_help_options
13 import distutils.dist
77 distutils.dist.DEBUG = True
84 distutils.dist.DEBUG = False
138 dist = klass(attrs={'author': u'Mister Café',
147 dist.metadata.write_pkg_file(open(my_file, 'w'))
150 dist = klass(attrs={'author': 'Mister Cafe',
157 dist.metadata.write_pkg_file(open(my_file2, 'w'))
171 dist = Distribution(attrs={'author': 'xxx', 'name': 'xxx',
176 self.assertNotIn('options', dir(dist))
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Dtest_build_py.py35 dist = Distribution({"packages": ["pkg"],
38 dist.script_name = os.path.join(sources, "setup.py")
39 dist.command_obj["build"] = support.DummyCommand(
42 dist.packages = ["pkg"]
43 dist.package_data = {"pkg": ["README.txt"]}
44 dist.package_dir = {"pkg": sources}
46 cmd = build_py(dist)
49 self.assertEqual(cmd.package_data, dist.package_data)
85 dist = Distribution({"packages": ["pkg"],
89 dist.script_name = os.path.join(sources, "setup.py")
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/external/python/cpython3/Lib/distutils/tests/
Dtest_dist.py11 from distutils.dist import Distribution, fix_help_options, DistributionMetadata
182 dist = Distribution(attrs={'author': 'xxx', 'name': 'xxx',
187 self.assertNotIn('options', dir(dist))
193 dist = Distribution(attrs=attrs)
194 dist.finalize_options()
197 self.assertEqual(dist.metadata.platforms, ['one', 'two'])
198 self.assertEqual(dist.metadata.keywords, ['one', 'two'])
202 dist = Distribution(attrs=attrs)
203 dist.finalize_options()
204 self.assertEqual(dist.metadata.platforms, ['foo bar'])
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Dtest_build_py.py34 dist = Distribution({"packages": ["pkg"],
37 dist.script_name = os.path.join(sources, "setup.py")
38 dist.command_obj["build"] = support.DummyCommand(
41 dist.packages = ["pkg"]
42 dist.package_data = {"pkg": ["README.txt"]}
43 dist.package_dir = {"pkg": sources}
45 cmd = build_py(dist)
48 self.assertEqual(cmd.package_data, dist.package_data)
78 dist = Distribution({"packages": ["pkg"],
82 dist.script_name = os.path.join(sources, "setup.py")
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/external/python/setuptools/setuptools.egg-info/
Dentry_points.txt31 convert_2to3_doctests = setuptools.dist:assert_string_list
32 dependency_links = setuptools.dist:assert_string_list
33 eager_resources = setuptools.dist:assert_string_list
34 entry_points = setuptools.dist:check_entry_points
35 exclude_package_data = setuptools.dist:check_package_data
36 extras_require = setuptools.dist:check_extras
37 include_package_data = setuptools.dist:assert_bool
38 install_requires = setuptools.dist:check_requirements
39 namespace_packages = setuptools.dist:check_nsp
40 package_data = setuptools.dist:check_package_data
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/external/python/cpython2/Doc/
DMakefile17 suspicious coverage doctest pydoc-topics htmlview clean dist check serve \
107 dist: target
108 rm -rf dist
109 mkdir -p dist
113 cp -pPR build/html dist/python-$(DISTVERSION)-docs-html
114 tar -C dist -cf dist/python-$(DISTVERSION)-docs-html.tar python-$(DISTVERSION)-docs-html
115 bzip2 -9 -k dist/python-$(DISTVERSION)-docs-html.tar
116 (cd dist; zip -q -r -9 python-$(DISTVERSION)-docs-html.zip python-$(DISTVERSION)-docs-html)
117 rm -r dist/python-$(DISTVERSION)-docs-html
118 rm dist/python-$(DISTVERSION)-docs-html.tar
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/external/python/cpython3/Doc/
DMakefile19 suspicious coverage doctest pydoc-topics htmlview clean dist check serve \
129 dist: target
130 rm -rf dist
131 mkdir -p dist
135 cp -pPR build/html dist/python-$(DISTVERSION)-docs-html
136 tar -C dist -cf dist/python-$(DISTVERSION)-docs-html.tar python-$(DISTVERSION)-docs-html
137 bzip2 -9 -k dist/python-$(DISTVERSION)-docs-html.tar
138 (cd dist; zip -q -r -9 python-$(DISTVERSION)-docs-html.zip python-$(DISTVERSION)-docs-html)
139 rm -r dist/python-$(DISTVERSION)-docs-html
140 rm dist/python-$(DISTVERSION)-docs-html.tar
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/external/glide/third_party/gif_encoder/src/main/java/com/bumptech/glide/gifencoder/
DNeuQuant.java313 int i, j, dist, a, bestd; in map() local
325 dist = p[1] - g; /* inx key */ in map()
326 if (dist >= bestd) in map()
330 if (dist < 0) in map()
331 dist = -dist; in map()
335 dist += a; in map()
336 if (dist < bestd) { in map()
340 dist += a; in map()
341 if (dist < bestd) { in map()
342 bestd = dist; in map()
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/external/freetype/src/autofit/
Daflatin2.c138 FT_Pos dist; in af_latin2_metrics_init_widths() local
141 dist = seg->pos - link->pos; in af_latin2_metrics_init_widths()
142 if ( dist < 0 ) in af_latin2_metrics_init_widths()
143 dist = -dist; in af_latin2_metrics_init_widths()
146 axis->widths[num_widths++].org = dist; in af_latin2_metrics_init_widths()
305 FT_Pos dist; in af_latin2_metrics_init_blues() local
318 dist = FT_ABS( points[prev].y - best_y ); in af_latin2_metrics_init_blues()
321 if ( dist > 5 ) in af_latin2_metrics_init_blues()
322 if ( FT_ABS( points[prev].x - best_x ) <= 20 * dist ) in af_latin2_metrics_init_blues()
335 dist = FT_ABS( points[next].y - best_y ); in af_latin2_metrics_init_blues()
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/external/tensorflow/tensorflow/contrib/distributions/python/ops/
Dtest_util.py42 self, sess_run_fn, dist, argument
85 y = dist.sample(num_samples, seed=seed)
88 batch_size = math_ops.reduce_prod(dist.batch_shape_tensor())
89 batch_dims = array_ops.shape(dist.batch_shape_tensor())[0]
94 probs = math_ops.exp(dist.log_prob(edges))
105 self, sess_run_fn, dist, argument
129 x = math_ops.cast(dist.sample(num_samples, seed=seed), dtypes.float32)
146 dist.mean(),
147 dist.variance(),
148 dist.stddev(),
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