| /external/tensorflow/tensorflow/python/kernel_tests/ |
| D | edit_distance_op_test.py | 48 hypothesis=hypothesis_st, truth=truth_st, normalize=normalize)
59 hypothesis, argument
67 max(h, t) for h, t in tuple(zip(hypothesis[2], truth[2]))[:-1]
75 *[ConstantOf(x) for x in hypothesis]),
88 *[ConstantOf(x) for x in hypothesis]),
105 hypothesis=(hypothesis_indices, hypothesis_values, hypothesis_shape),
120 hypothesis=(hypothesis_indices, hypothesis_values, hypothesis_shape),
140 hypothesis=(hypothesis_indices, hypothesis_values, hypothesis_shape),
146 hypothesis=(hypothesis_indices, hypothesis_values, hypothesis_shape),
164 hypothesis=(hypothesis_indices, hypothesis_values, hypothesis_shape),
[all …]
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| /external/tensorflow/tensorflow/core/api_def/base_api/ |
| D | api_def_EditDistance.pbtxt | 6 The indices of the hypothesis list SparseTensor.
13 The values of the hypothesis list SparseTensor.
20 The shape of the hypothesis list SparseTensor.
51 // hypothesis represents a 2x1 matrix with variable-length values:
75 output = [[inf, 1.0], // (0,0): no truth, (0,1): no hypothesis
76 [0.5, 1.0]] // (1,0): addition, (1,1): no hypothesis
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| /external/oss-fuzz/docs/getting-started/new-project-guide/ |
| D | python_lang.md | 106 Using [Hypothesis](https://hypothesis.readthedocs.io/), the Python library for
107 [property-based testing](https://hypothesis.works/articles/what-is-property-based-testing/),
109 or [by using test functions as fuzz harnesses](https://hypothesis.readthedocs.io/en/latest/details.…
115 We recommend using the [`hypothesis write`](https://hypothesis.readthedocs.io/en/latest/ghostwriter…
119 See [here for the core "strategies"](https://hypothesis.readthedocs.io/en/latest/data.html),
120 for arbitrary data, [here for Numpy + Pandas support](https://hypothesis.readthedocs.io/en/latest/n…
121 or [here for a variety of third-party extensions](https://hypothesis.readthedocs.io/en/latest/strat…
130 RUN pip3 install hypothesis
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| /external/python/cryptography/tests/hypothesis/ |
| D | test_fernet.py | 5 from hypothesis import HealthCheck, given, settings
6 from hypothesis.strategies import binary
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| D | test_padding.py | 5 from hypothesis import HealthCheck, given, settings
6 from hypothesis.strategies import binary, integers
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| /external/python/dateutil/dateutil/test/property/ |
| D | test_parser_prop.py | 1 from hypothesis.strategies import integers
2 from hypothesis import given
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| D | test_isoparse_prop.py | 1 from hypothesis import given, assume
2 from hypothesis import strategies as st
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| /external/oss-fuzz/projects/ujson/ |
| D | hypothesis_structured_fuzzer.py | 36 from hypothesis import given, strategies as st
71 atheris.Setup(sys.argv, test_ujson_roundtrip.hypothesis.fuzz_one_input)
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| D | Dockerfile | 19 RUN pip3 install hypothesis
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| /external/gemmlowp/standalone/ |
| D | cache_counters.cc | 365 for (const Hypothesis* hypothesis : hypotheses) { in Study() local
368 hypothesis->Analyze(cache_counts, &pie); in Study()
376 for (const Hypothesis* hypothesis : hypotheses) { in Study() local
377 printf("\n%s:\n", hypothesis->Name()); in Study()
379 hypothesis->Analyze(cache_counts, &pie); in Study()
384 for (const Hypothesis* hypothesis : hypotheses) { in Study() local
385 delete hypothesis; in Study()
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| /external/tensorflow/tensorflow/core/kernels/ |
| D | edit_distance_op.cc | 136 sparse::SparseTensor hypothesis; in Compute() local
139 hypothesis_st_shape, sorted_order, &hypothesis)); in Compute()
168 auto hypothesis_grouper = hypothesis.group(group_dims); in Compute()
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| /external/python/dateutil/ |
| D | requirements-dev.txt | 7 hypothesis >= 3.30
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| D | .gitignore | 17 .hypothesis/
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| /external/python/cryptography/ |
| D | .gitignore | 14 .hypothesis/
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| D | tox.ini | 76 exclude = .tox,*.egg,.git,_build,.hypothesis
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| /external/oss-fuzz/projects/jsonschema/ |
| D | Dockerfile | 18 RUN pip3 install hypothesis
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| /external/walt/pywalt/ |
| D | .gitignore | 46 .hypothesis/
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| /external/llvm-project/libcxx/utils/google-benchmark/docs/ |
| D | tools.md | 189 null hypothesis that it is equally likely that a randomly selected value from
195 null hypothesis is rejected. Which in other words means that the two benchmarks
|
| /external/google-benchmark/docs/ |
| D | tools.md | 193 null hypothesis that it is equally likely that a randomly selected value from
199 null hypothesis is rejected. Which in other words means that the two benchmarks
|
| /external/libcxx/utils/google-benchmark/docs/ |
| D | tools.md | 189 null hypothesis that it is equally likely that a randomly selected value from
195 null hypothesis is rejected. Which in other words means that the two benchmarks
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| /external/tensorflow/tensorflow/python/ops/ |
| D | array_ops.py | 3714 def edit_distance(hypothesis, truth, normalize=True, name="edit_distance"): argument
3799 hypothesis,
3807 hypothesis.indices,
3808 hypothesis.values,
3809 hypothesis.dense_shape,
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| /external/protobuf/docs/ |
| D | third_party.md | 174 … example message generator (Python / Hypothesis)](https://github.com/CurataEng/hypothesis-protobuf)
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| /external/python/cpython3/Doc/library/ |
| D | random.rst | 500 print(f'hypothesis that there is no difference between the drug and the placebo.')
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| /external/tensorflow/tensorflow/tools/api/golden/v2/ |
| D | tensorflow.pbtxt | 613 …argspec: "args=[\'hypothesis\', \'truth\', \'normalize\', \'name\'], varargs=None, keywords=None, …
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| /external/tensorflow/tensorflow/tools/api/golden/v1/ |
| D | tensorflow.pbtxt | 1189 …argspec: "args=[\'hypothesis\', \'truth\', \'normalize\', \'name\'], varargs=None, keywords=None, …
|