Array API Tests Example JSON Report

Array API Tests Example JSON Report

Example JSON reports for the array API tests (see https://github.com/data-apis/array-api-tests/pull/131).

numpy-array-api-report.json

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"array_api_tests/meta/test_utils.py::test_fmt_idx[idx7-x[0:2:-1]]", "type": "Function", "lineno": 87}, {"nodeid": "array_api_tests/meta/test_utils.py::test_fmt_idx[idx8-x[::-1]]", "type": "Function", "lineno": 87}, {"nodeid": "array_api_tests/meta/test_utils.py::test_fmt_idx[idx9-x[:]]", "type": "Function", "lineno": 87}, {"nodeid": "array_api_tests/meta/test_utils.py::test_fmt_idx[idx10-x[...]]", "type": "Function", "lineno": 87}, {"nodeid": "array_api_tests/meta/test_utils.py::test_fmt_idx[idx11-x[None, 42]]", "type": "Function", "lineno": 87}, {"nodeid": "array_api_tests/meta/test_utils.py::test_int_to_dtype", "type": "Function", "lineno": 108}, {"nodeid": "array_api_tests/meta/test_utils.py::test_oneway_promotable_dtypes", "type": "Function", "lineno": 117}, {"nodeid": "array_api_tests/meta/test_utils.py::test_oneway_broadcastable_shapes", "type": "Function", "lineno": 122}]}, {"nodeid": "array_api_tests/meta/__init__.py", "outcome": "passed", "result": [{"nodeid": "array_api_tests/meta/test_array_helpers.py", "type": "Module"}, {"nodeid": "array_api_tests/meta/test_broadcasting.py", "type": "Module"}, {"nodeid": "array_api_tests/meta/test_equality_mapping.py", "type": "Module"}, {"nodeid": "array_api_tests/meta/test_hypothesis_helpers.py", "type": "Module"}, {"nodeid": "array_api_tests/meta/test_partial_adopters.py", "type": "Module"}, {"nodeid": "array_api_tests/meta/test_pytest_helpers.py", "type": "Module"}, {"nodeid": "array_api_tests/meta/test_signatures.py", "type": "Module"}, {"nodeid": "array_api_tests/meta/test_special_cases.py", "type": "Module"}, {"nodeid": "array_api_tests/meta/test_utils.py", "type": "Module"}]}], "tests": [{"nodeid": "array_api_tests/test_array_object.py::test_getitem", "lineno": 78, "outcome": "failed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "test_array_object.py", "array_api_tests/__init__.py", "is_hypothesis_test", "hypothesis", "array-api-tests", "_hypothesis_internal_use_seed", "ci", "test_getitem"], "metadata": {"test_module": "array_api_tests.test_array_object", "test_function": "test_getitem", "array_api_function_name": "getitem", "hypothesis_report_information": ["Falsifying example: test_getitem(\n    shape=(), dtype=dtype('bool'), data=data(...),\n)", "Draw 1 (obj): False", "x=Array(False, dtype=bool)", "Draw 2 (key): (None,)"], "hypothesis_statistics": "array_api_tests/test_array_object.py::test_getitem:\n\n  - during reuse phase (0.41 seconds):\n    - Typical runtimes: 43-103 ms, ~ 3% in data generation\n    - 0 passing examples, 7 failing examples, 0 invalid examples\n    - Found 1 distinct error in this phase\n\n  - during shrink phase (0.07 seconds):\n    - Typical runtimes: 0-43 ms, ~ 49% in data generation\n    - 3 passing examples, 1 failing examples, 5 invalid examples\n    - Tried 9 shrinks of which 0 were successful\n\n  - Stopped because nothing left to do"}, "setup": {"duration": 0.0006966460000001895, "outcome": "passed"}, "call": {"duration": 0.4898461020000002, "outcome": "failed", "crash": {"path": "/Users/aaronmeurer/anaconda3/envs/array-apis/lib/python3.9/site-packages/numpy/array_api/_array_object.py", "lineno": 366, "message": "IndexError: newaxis indices are not allowed in the array API namespace"}, "traceback": [{"path": "array_api_tests/test_array_object.py", "lineno": 80, "message": ""}, {"path": "array_api_tests/test_array_object.py", "lineno": 90, "message": "in test_getitem"}, {"path": "../../anaconda3/envs/array-apis/lib/python3.9/site-packages/numpy/array_api/_array_object.py", "lineno": 507, "message": "in __getitem__"}, {"path": "../../anaconda3/envs/array-apis/lib/python3.9/site-packages/numpy/array_api/_array_object.py", "lineno": 320, "message": "in _validate_index"}, {"path": "../../anaconda3/envs/array-apis/lib/python3.9/site-packages/numpy/array_api/_array_object.py", "lineno": 320, "message": "in <genexpr>"}, {"path": "../../anaconda3/envs/array-apis/lib/python3.9/site-packages/numpy/array_api/_array_object.py", "lineno": 366, "message": "IndexError"}], "longrepr": "@given(shape=hh.shapes(), dtype=xps.scalar_dtypes(), data=st.data())\n>   def test_getitem(shape, dtype, data):\n\narray_api_tests/test_array_object.py:80: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _\narray_api_tests/test_array_object.py:90: in test_getitem\n    out = x[key]\n../../anaconda3/envs/array-apis/lib/python3.9/site-packages/numpy/array_api/_array_object.py:507: in __getitem__\n    key = self._validate_index(key, self.shape)\n../../anaconda3/envs/array-apis/lib/python3.9/site-packages/numpy/array_api/_array_object.py:320: in _validate_index\n    key = tuple(Array._validate_index(idx, None) for idx in key)\n../../anaconda3/envs/array-apis/lib/python3.9/site-packages/numpy/array_api/_array_object.py:320: in <genexpr>\n    key = tuple(Array._validate_index(idx, None) for idx in key)\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _\n\nkey = None, shape = None\n\n    @staticmethod\n    def _validate_index(key, shape):\n        \"\"\"\n        Validate an index according to the array API.\n    \n        The array API specification only requires a subset of indices that are\n        supported by NumPy. This function will reject any index that is\n        allowed by NumPy but not required by the array API specification. We\n        always raise ``IndexError`` on such indices (the spec does not require\n        any specific behavior on them, but this makes the NumPy array API\n        namespace a minimal implementation of the spec). See\n        https://data-apis.org/array-api/latest/API_specification/indexing.html\n        for the full list of required indexing behavior\n    \n        This function either raises IndexError if the index ``key`` is\n        invalid, or a new key to be used in place of ``key`` in indexing. It\n        only raises ``IndexError`` on indices that are not already rejected by\n        NumPy, as NumPy will already raise the appropriate error on such\n        indices. ``shape`` may be None, in which case, only cases that are\n        independent of the array shape are checked.\n    \n        The following cases are allowed by NumPy, but not specified by the array\n        API specification:\n    \n        - Indices to not include an implicit ellipsis at the end. That is,\n          every axis of an array must be explicitly indexed or an ellipsis\n          included.\n    \n        - The start and stop of a slice may not be out of bounds. In\n          particular, for a slice ``i:j:k`` on an axis of size ``n``, only the\n          following are allowed:\n    \n          - ``i`` or ``j`` omitted (``None``).\n          - ``-n <= i <= max(0, n - 1)``.\n          - For ``k > 0`` or ``k`` omitted (``None``), ``-n <= j <= n``.\n          - For ``k < 0``, ``-n - 1 <= j <= max(0, n - 1)``.\n    \n        - Boolean array indices are not allowed as part of a larger tuple\n          index.\n    \n        - Integer array indices are not allowed (with the exception of 0-D\n          arrays, which are treated the same as scalars).\n    \n        Additionally, it should be noted that indices that would return a\n        scalar in NumPy will return a 0-D array. Array scalars are not allowed\n        in the specification, only 0-D arrays. This is done in the\n        ``Array._new`` constructor, not this function.\n    \n        \"\"\"\n        if isinstance(key, slice):\n            if shape is None:\n                return key\n            if shape == ():\n                return key\n            if len(shape) > 1:\n                raise IndexError(\n                    \"Multidimensional arrays must include an index for every axis or use an ellipsis\"\n                )\n            size = shape[0]\n            # Ensure invalid slice entries are passed through.\n            if key.start is not None:\n                try:\n                    operator.index(key.start)\n                except TypeError:\n                    return key\n                if not (-size <= key.start <= size):\n                    raise IndexError(\n                        \"Slices with out-of-bounds start are not allowed in the array API namespace\"\n                    )\n            if key.stop is not None:\n                try:\n                    operator.index(key.stop)\n                except TypeError:\n                    return key\n                step = 1 if key.step is None else key.step\n                if (step > 0 and not (-size <= key.stop <= size)\n                    or step < 0 and not (-size - 1 <= key.stop <= max(0, size - 1))):\n                    raise IndexError(\"Slices with out-of-bounds stop are not allowed in the array API namespace\")\n            return key\n    \n        elif isinstance(key, tuple):\n            key = tuple(Array._validate_index(idx, None) for idx in key)\n    \n            for idx in key:\n                if (\n                    isinstance(idx, np.ndarray)\n                    and idx.dtype in _boolean_dtypes\n                    or isinstance(idx, (bool, np.bool_))\n                ):\n                    if len(key) == 1:\n                        return key\n                    raise IndexError(\n                        \"Boolean array indices combined with other indices are not allowed in the array API namespace\"\n                    )\n                if isinstance(idx, tuple):\n                    raise IndexError(\n                        \"Nested tuple indices are not allowed in the array API namespace\"\n                    )\n    \n            if shape is None:\n                return key\n            n_ellipsis = key.count(...)\n            if n_ellipsis > 1:\n                return key\n            ellipsis_i = key.index(...) if n_ellipsis else len(key)\n    \n            for idx, size in list(zip(key[:ellipsis_i], shape)) + list(\n                zip(key[:ellipsis_i:-1], shape[:ellipsis_i:-1])\n            ):\n                Array._validate_index(idx, (size,))\n            if n_ellipsis == 0 and len(key) < len(shape):\n                raise IndexError(\n                    \"Multidimensional arrays must include an index for every axis or use an ellipsis\"\n                )\n            return key\n        elif isinstance(key, bool):\n            return key\n        elif isinstance(key, Array):\n            if key.dtype in _integer_dtypes:\n                if key.ndim != 0:\n                    raise IndexError(\n                        \"Non-zero dimensional integer array indices are not allowed in the array API namespace\"\n                    )\n            return key._array\n        elif key is Ellipsis:\n            return key\n        elif key is None:\n>           raise IndexError(\n                \"newaxis indices are not allowed in the array API namespace\"\n            )\nE           IndexError: newaxis indices are not allowed in the array API namespace\n\n../../anaconda3/envs/array-apis/lib/python3.9/site-packages/numpy/array_api/_array_object.py:366: IndexError"}, "teardown": {"duration": 0.0005268510000000504, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_array_object.py::test_setitem", "lineno": 108, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "test_array_object.py", "array_api_tests/__init__.py", "is_hypothesis_test", "hypothesis", "array-api-tests", "_hypothesis_internal_use_seed", "ci", "test_setitem"], "metadata": {"test_module": "array_api_tests.test_array_object", "test_function": "test_setitem", "array_api_function_name": "setitem", "hypothesis_statistics": "array_api_tests/test_array_object.py::test_setitem:\n\n  - during reuse phase (0.06 seconds):\n    - Typical runtimes: 2-6 ms, ~ 65% in data generation\n    - 10 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (1.07 seconds):\n    - Typical runtimes: 2-6 ms, ~ 73% in data generation\n    - 90 passing examples, 0 failing examples, 105 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.00036992800000001935, "outcome": "passed"}, "call": {"duration": 1.125647377, "outcome": "passed"}, "teardown": {"duration": 0.00032890499999993494, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_array_object.py::test_getitem_masking", "lineno": 151, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "pytestmark", "_hypothesis_internal_use_seed", "array-api-tests", "data_dependent_shapes", "ci", "test_array_object.py", "test_getitem_masking", "array_api_tests/__init__.py", "is_hypothesis_test"], "metadata": {"test_module": "array_api_tests.test_array_object", "test_function": "test_getitem_masking", "array_api_function_name": "getitem_masking", "hypothesis_statistics": "array_api_tests/test_array_object.py::test_getitem_masking:\n\n  - during reuse phase (0.03 seconds):\n    - Typical runtimes: 2-4 ms, ~ 51% in data generation\n    - 8 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.58 seconds):\n    - Typical runtimes: 0-3 ms, ~ 61% in data generation\n    - 92 passing examples, 0 failing examples, 83 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0003045339999996344, "outcome": "passed"}, "call": {"duration": 0.6188248140000003, "outcome": "passed"}, "teardown": {"duration": 0.00037238899999980646, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_array_object.py::test_setitem_masking", "lineno": 196, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "test_array_object.py", "array_api_tests/__init__.py", "is_hypothesis_test", "hypothesis", "array-api-tests", "_hypothesis_internal_use_seed", "ci", "test_setitem_masking"], "metadata": {"test_module": "array_api_tests.test_array_object", "test_function": "test_setitem_masking", "array_api_function_name": "setitem_masking", "hypothesis_statistics": "array_api_tests/test_array_object.py::test_setitem_masking:\n\n  - during reuse phase (0.01 seconds):\n    - Typical runtimes: ~ 1ms, ~ 74% in data generation\n    - 4 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.46 seconds):\n    - Typical runtimes: 1-3 ms, ~ 79% in data generation\n    - 96 passing examples, 0 failing examples, 36 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.00030709400000006326, "outcome": "passed"}, "call": {"duration": 0.47221101099999974, "outcome": "passed"}, "teardown": {"duration": 0.00029629199999980926, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_array_object.py::test_scalar_casting[__bool__(bool)]", "lineno": 237, "outcome": "passed", "keywords": ["test_scalar_casting[__bool__(bool)]", "_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "pytestmark", "_hypothesis_internal_use_seed", "array-api-tests", "ci", "test_array_object.py", "parametrize", "array_api_tests/__init__.py", "__bool__(bool)", "is_hypothesis_test"], "metadata": {"test_module": "array_api_tests.test_array_object", "test_function": "test_scalar_casting", "array_api_function_name": "scalar_casting", "params": {"method_name": "__bool__", "dtype": "bool", "stype": "bool"}, "hypothesis_statistics": "array_api_tests/test_array_object.py::test_scalar_casting[__bool__(bool)]:\n\n  - during reuse phase (0.00 seconds):\n    - Typical runtimes: < 1ms, ~ 50% in data generation\n    - 1 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.04 seconds):\n    - Typical runtimes: < 1ms, ~ 62% in data generation\n    - 33 passing examples, 0 failing examples, 0 invalid examples\n\n  - Stopped because nothing left to do"}, "setup": {"duration": 0.00047110900000024714, "outcome": "passed"}, "call": {"duration": 0.0427521870000005, "outcome": "passed"}, "teardown": {"duration": 0.0003452949999998012, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_array_object.py::test_scalar_casting[__int__(uint8)]", "lineno": 237, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "pytestmark", "_hypothesis_internal_use_seed", "__int__(uint8)", "test_scalar_casting[__int__(uint8)]", "array-api-tests", "ci", "test_array_object.py", "parametrize", "array_api_tests/__init__.py", "is_hypothesis_test"], "metadata": {"test_module": "array_api_tests.test_array_object", "test_function": "test_scalar_casting", "array_api_function_name": "scalar_casting", "params": {"method_name": "__int__", "dtype": "uint8", "stype": "int64"}, "hypothesis_statistics": "array_api_tests/test_array_object.py::test_scalar_casting[__int__(uint8)]:\n\n  - during reuse phase (0.00 seconds):\n    - Typical runtimes: < 1ms, ~ 55% in data generation\n    - 1 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.12 seconds):\n    - Typical runtimes: < 1ms, ~ 61% in data generation\n    - 99 passing examples, 0 failing examples, 0 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0006049460000001616, "outcome": "passed"}, "call": {"duration": 0.12175888700000037, "outcome": "passed"}, "teardown": {"duration": 0.00033520299999967307, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_array_object.py::test_scalar_casting[__int__(uint16)]", "lineno": 237, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "test_scalar_casting[__int__(uint16)]", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "pytestmark", "_hypothesis_internal_use_seed", "array-api-tests", "ci", "test_array_object.py", "parametrize", "array_api_tests/__init__.py", "is_hypothesis_test", "__int__(uint16)"], "metadata": {"test_module": "array_api_tests.test_array_object", "test_function": "test_scalar_casting", "array_api_function_name": "scalar_casting", "params": {"method_name": "__int__", "dtype": "uint16", "stype": "int64"}, "hypothesis_statistics": "array_api_tests/test_array_object.py::test_scalar_casting[__int__(uint16)]:\n\n  - during reuse phase (0.00 seconds):\n    - Typical runtimes: < 1ms, ~ 56% in data generation\n    - 1 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.11 seconds):\n    - Typical runtimes: < 1ms, ~ 61% in data generation\n    - 99 passing examples, 0 failing examples, 0 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0005802590000003605, "outcome": "passed"}, "call": {"duration": 0.11437555899999996, "outcome": "passed"}, "teardown": {"duration": 0.00034992600000016694, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_array_object.py::test_scalar_casting[__int__(uint32)]", "lineno": 237, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "__int__(uint32)", "is_hypothesis_test", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "pytestmark", "_hypothesis_internal_use_seed", "array-api-tests", "ci", "test_array_object.py", "parametrize", "array_api_tests/__init__.py", "test_scalar_casting[__int__(uint32)]"], "metadata": {"test_module": "array_api_tests.test_array_object", "test_function": "test_scalar_casting", "array_api_function_name": "scalar_casting", "params": {"method_name": "__int__", "dtype": "uint32", "stype": "int64"}, "hypothesis_statistics": "array_api_tests/test_array_object.py::test_scalar_casting[__int__(uint32)]:\n\n  - during reuse phase (0.00 seconds):\n    - Typical runtimes: < 1ms, ~ 59% in data generation\n    - 1 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.12 seconds):\n    - Typical runtimes: < 1ms, ~ 65% in data generation\n    - 99 passing examples, 0 failing examples, 4 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0006674970000002389, "outcome": "passed"}, "call": {"duration": 0.1286756949999992, "outcome": "passed"}, "teardown": {"duration": 0.0003558989999996598, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_array_object.py::test_scalar_casting[__int__(uint64)]", "lineno": 237, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "__int__(uint64)", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "pytestmark", "_hypothesis_internal_use_seed", "array-api-tests", "ci", "test_array_object.py", "parametrize", "array_api_tests/__init__.py", "is_hypothesis_test", "test_scalar_casting[__int__(uint64)]"], "metadata": {"test_module": "array_api_tests.test_array_object", "test_function": "test_scalar_casting", "array_api_function_name": "scalar_casting", "params": {"method_name": "__int__", "dtype": "uint64", "stype": "int64"}, "hypothesis_statistics": "array_api_tests/test_array_object.py::test_scalar_casting[__int__(uint64)]:\n\n  - during reuse phase (0.00 seconds):\n    - Typical runtimes: < 1ms, ~ 60% in data generation\n    - 1 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.12 seconds):\n    - Typical runtimes: < 1ms, ~ 64% in data generation\n    - 99 passing examples, 0 failing examples, 3 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0005062719999999743, "outcome": "passed"}, "call": {"duration": 0.12570634799999958, "outcome": "passed"}, "teardown": {"duration": 0.0004643639999999394, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_array_object.py::test_scalar_casting[__int__(int8)]", "lineno": 237, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "test_scalar_casting[__int__(int8)]", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "pytestmark", "_hypothesis_internal_use_seed", "array-api-tests", "ci", "test_array_object.py", "parametrize", "array_api_tests/__init__.py", "__int__(int8)", "is_hypothesis_test"], "metadata": {"test_module": "array_api_tests.test_array_object", "test_function": "test_scalar_casting", "array_api_function_name": "scalar_casting", "params": {"method_name": "__int__", "dtype": "int8", "stype": "int64"}, "hypothesis_statistics": "array_api_tests/test_array_object.py::test_scalar_casting[__int__(int8)]:\n\n  - during reuse phase (0.00 seconds):\n    - Typical runtimes: < 1ms, ~ 59% in data generation\n    - 1 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.11 seconds):\n    - Typical runtimes: < 1ms, ~ 62% in data generation\n    - 99 passing examples, 0 failing examples, 0 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.000553671999999672, "outcome": "passed"}, "call": {"duration": 0.11451420200000051, "outcome": "passed"}, "teardown": {"duration": 0.0004095639999999179, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_array_object.py::test_scalar_casting[__int__(int16)]", "lineno": 237, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "pytestmark", "_hypothesis_internal_use_seed", "__int__(int16)", "array-api-tests", "ci", "test_array_object.py", "parametrize", "array_api_tests/__init__.py", "test_scalar_casting[__int__(int16)]", "is_hypothesis_test"], "metadata": {"test_module": "array_api_tests.test_array_object", "test_function": "test_scalar_casting", "array_api_function_name": "scalar_casting", "params": {"method_name": "__int__", "dtype": "int16", "stype": "int64"}, "hypothesis_statistics": "array_api_tests/test_array_object.py::test_scalar_casting[__int__(int16)]:\n\n  - during reuse phase (0.00 seconds):\n    - Typical runtimes: < 1ms, ~ 51% in data generation\n    - 1 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.11 seconds):\n    - Typical runtimes: < 1ms, ~ 62% in data generation\n    - 99 passing examples, 0 failing examples, 0 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0005296269999996994, "outcome": "passed"}, "call": {"duration": 0.11406922499999972, "outcome": "passed"}, "teardown": {"duration": 0.0005267279999996433, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_array_object.py::test_scalar_casting[__int__(int32)]", "lineno": 237, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "__int__(int32)", "test_scalar_casting[__int__(int32)]", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "pytestmark", "_hypothesis_internal_use_seed", "array-api-tests", "ci", "test_array_object.py", "parametrize", "array_api_tests/__init__.py", "is_hypothesis_test"], "metadata": {"test_module": "array_api_tests.test_array_object", "test_function": "test_scalar_casting", "array_api_function_name": "scalar_casting", "params": {"method_name": "__int__", "dtype": "int32", "stype": "int64"}, "hypothesis_statistics": "array_api_tests/test_array_object.py::test_scalar_casting[__int__(int32)]:\n\n  - during reuse phase (0.00 seconds):\n    - Typical runtimes: < 1ms, ~ 59% in data generation\n    - 1 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.13 seconds):\n    - Typical runtimes: < 1ms, ~ 66% in data generation\n    - 99 passing examples, 0 failing examples, 6 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0006644610000003937, "outcome": "passed"}, "call": {"duration": 0.1322951269999999, "outcome": "passed"}, "teardown": {"duration": 0.00033022399999982355, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_array_object.py::test_scalar_casting[__int__(int64)]", "lineno": 237, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "test_scalar_casting[__int__(int64)]", "hypothesis", "pytestmark", "_hypothesis_internal_use_seed", "array-api-tests", "ci", "test_array_object.py", "parametrize", "array_api_tests/__init__.py", "__int__(int64)", "is_hypothesis_test"], "metadata": {"test_module": "array_api_tests.test_array_object", "test_function": "test_scalar_casting", "array_api_function_name": "scalar_casting", "params": {"method_name": "__int__", "dtype": "int64", "stype": "int64"}, "hypothesis_statistics": "array_api_tests/test_array_object.py::test_scalar_casting[__int__(int64)]:\n\n  - during reuse phase (0.00 seconds):\n    - Typical runtimes: < 1ms, ~ 60% in data generation\n    - 1 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.12 seconds):\n    - Typical runtimes: < 1ms, ~ 67% in data generation\n    - 99 passing examples, 0 failing examples, 4 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0005028419999995037, "outcome": "passed"}, "call": {"duration": 0.12853275199999992, "outcome": "passed"}, "teardown": {"duration": 0.00039838400000036245, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_array_object.py::test_scalar_casting[__index__(uint8)]", "lineno": 237, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "pytestmark", "_hypothesis_internal_use_seed", "__index__(uint8)", "array-api-tests", "ci", "test_array_object.py", "test_scalar_casting[__index__(uint8)]", "parametrize", "array_api_tests/__init__.py", "is_hypothesis_test"], "metadata": {"test_module": "array_api_tests.test_array_object", "test_function": "test_scalar_casting", "array_api_function_name": "scalar_casting", "params": {"method_name": "__index__", "dtype": "uint8", "stype": "int64"}, "hypothesis_statistics": "array_api_tests/test_array_object.py::test_scalar_casting[__index__(uint8)]:\n\n  - during reuse phase (0.00 seconds):\n    - Typical runtimes: < 1ms, ~ 62% in data generation\n    - 1 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.11 seconds):\n    - Typical runtimes: < 1ms, ~ 61% in data generation\n    - 99 passing examples, 0 failing examples, 0 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0004825120000004901, "outcome": "passed"}, "call": {"duration": 0.10984260000000035, "outcome": "passed"}, "teardown": {"duration": 0.0003856979999996568, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_array_object.py::test_scalar_casting[__index__(uint16)]", "lineno": 237, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "test_scalar_casting[__index__(uint16)]", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "pytestmark", "_hypothesis_internal_use_seed", "array-api-tests", "ci", "test_array_object.py", "parametrize", "array_api_tests/__init__.py", "__index__(uint16)", "is_hypothesis_test"], "metadata": {"test_module": "array_api_tests.test_array_object", "test_function": "test_scalar_casting", "array_api_function_name": "scalar_casting", "params": {"method_name": "__index__", "dtype": "uint16", "stype": "int64"}, "hypothesis_statistics": "array_api_tests/test_array_object.py::test_scalar_casting[__index__(uint16)]:\n\n  - during reuse phase (0.00 seconds):\n    - Typical runtimes: < 1ms, ~ 56% in data generation\n    - 1 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.11 seconds):\n    - Typical runtimes: < 1ms, ~ 61% in data generation\n    - 99 passing examples, 0 failing examples, 0 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0005766600000001176, "outcome": "passed"}, "call": {"duration": 0.11724004100000052, "outcome": "passed"}, "teardown": {"duration": 0.0003359950000003664, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_array_object.py::test_scalar_casting[__index__(uint32)]", "lineno": 237, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "pytestmark", "_hypothesis_internal_use_seed", "__index__(uint32)", "array-api-tests", "test_scalar_casting[__index__(uint32)]", "ci", "test_array_object.py", "parametrize", "array_api_tests/__init__.py", "is_hypothesis_test"], "metadata": {"test_module": "array_api_tests.test_array_object", "test_function": "test_scalar_casting", "array_api_function_name": "scalar_casting", "params": {"method_name": "__index__", "dtype": "uint32", "stype": "int64"}, "hypothesis_statistics": "array_api_tests/test_array_object.py::test_scalar_casting[__index__(uint32)]:\n\n  - during reuse phase (0.00 seconds):\n    - Typical runtimes: < 1ms, ~ 59% in data generation\n    - 1 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.17 seconds):\n    - Typical runtimes: < 1ms, ~ 65% in data generation\n    - 99 passing examples, 0 failing examples, 5 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0005873350000005217, "outcome": "passed"}, "call": {"duration": 0.17624558900000054, "outcome": "passed"}, "teardown": {"duration": 0.0003341939999996768, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_array_object.py::test_scalar_casting[__index__(uint64)]", "lineno": 237, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "__index__(uint64)", "test_scalar_casting[__index__(uint64)]", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "pytestmark", "_hypothesis_internal_use_seed", "array-api-tests", "ci", "test_array_object.py", "parametrize", "array_api_tests/__init__.py", "is_hypothesis_test"], "metadata": {"test_module": "array_api_tests.test_array_object", "test_function": "test_scalar_casting", "array_api_function_name": "scalar_casting", "params": {"method_name": "__index__", "dtype": "uint64", "stype": "int64"}, "hypothesis_statistics": "array_api_tests/test_array_object.py::test_scalar_casting[__index__(uint64)]:\n\n  - during reuse phase (0.00 seconds):\n    - Typical runtimes: < 1ms, ~ 60% in data generation\n    - 1 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.13 seconds):\n    - Typical runtimes: < 1ms, ~ 65% in data generation\n    - 99 passing examples, 0 failing examples, 3 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0005767829999996366, "outcome": "passed"}, "call": {"duration": 0.1294292420000005, "outcome": "passed"}, "teardown": {"duration": 0.0003899050000004678, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_array_object.py::test_scalar_casting[__index__(int8)]", "lineno": 237, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "__index__(int8)", "pytestmark", "_hypothesis_internal_use_seed", "array-api-tests", "ci", "test_array_object.py", "parametrize", "array_api_tests/__init__.py", "is_hypothesis_test", "test_scalar_casting[__index__(int8)]"], "metadata": {"test_module": "array_api_tests.test_array_object", "test_function": "test_scalar_casting", "array_api_function_name": "scalar_casting", "params": {"method_name": "__index__", "dtype": "int8", "stype": "int64"}, "hypothesis_statistics": "array_api_tests/test_array_object.py::test_scalar_casting[__index__(int8)]:\n\n  - during reuse phase (0.00 seconds):\n    - Typical runtimes: < 1ms, ~ 57% in data generation\n    - 1 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.10 seconds):\n    - Typical runtimes: < 1ms, ~ 62% in data generation\n    - 99 passing examples, 0 failing examples, 0 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0005191209999999558, "outcome": "passed"}, "call": {"duration": 0.10799006800000033, "outcome": "passed"}, "teardown": {"duration": 0.0003898690000001537, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_array_object.py::test_scalar_casting[__index__(int16)]", "lineno": 237, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "pytestmark", "test_scalar_casting[__index__(int16)]", "_hypothesis_internal_use_seed", "array-api-tests", "__index__(int16)", "ci", "test_array_object.py", "parametrize", "array_api_tests/__init__.py", "is_hypothesis_test"], "metadata": {"test_module": "array_api_tests.test_array_object", "test_function": "test_scalar_casting", "array_api_function_name": "scalar_casting", "params": {"method_name": "__index__", "dtype": "int16", "stype": "int64"}, "hypothesis_statistics": "array_api_tests/test_array_object.py::test_scalar_casting[__index__(int16)]:\n\n  - during reuse phase (0.00 seconds):\n    - Typical runtimes: < 1ms, ~ 57% in data generation\n    - 1 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.11 seconds):\n    - Typical runtimes: < 1ms, ~ 62% in data generation\n    - 99 passing examples, 0 failing examples, 1 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0005174029999999163, "outcome": "passed"}, "call": {"duration": 0.11144255299999983, "outcome": "passed"}, "teardown": {"duration": 0.0006400860000006503, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_array_object.py::test_scalar_casting[__index__(int32)]", "lineno": 237, "outcome": "passed", "keywords": ["test_scalar_casting[__index__(int32)]", "_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "pytestmark", "_hypothesis_internal_use_seed", "array-api-tests", "ci", "test_array_object.py", "parametrize", "__index__(int32)", "array_api_tests/__init__.py", "is_hypothesis_test"], "metadata": {"test_module": "array_api_tests.test_array_object", "test_function": "test_scalar_casting", "array_api_function_name": "scalar_casting", "params": {"method_name": "__index__", "dtype": "int32", "stype": "int64"}, "hypothesis_statistics": "array_api_tests/test_array_object.py::test_scalar_casting[__index__(int32)]:\n\n  - during reuse phase (0.00 seconds):\n    - Typical runtimes: < 1ms, ~ 63% in data generation\n    - 1 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.13 seconds):\n    - Typical runtimes: < 1ms, ~ 65% in data generation\n    - 99 passing examples, 0 failing examples, 5 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0005147819999997694, "outcome": "passed"}, "call": {"duration": 0.13490106199999996, "outcome": "passed"}, "teardown": {"duration": 0.00028859199999953233, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_array_object.py::test_scalar_casting[__index__(int64)]", "lineno": 237, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "pytestmark", "_hypothesis_internal_use_seed", "array-api-tests", "__index__(int64)", "ci", "test_array_object.py", "parametrize", "array_api_tests/__init__.py", "is_hypothesis_test", "test_scalar_casting[__index__(int64)]"], "metadata": {"test_module": "array_api_tests.test_array_object", "test_function": "test_scalar_casting", "array_api_function_name": "scalar_casting", "params": {"method_name": "__index__", "dtype": "int64", "stype": "int64"}, "hypothesis_statistics": "array_api_tests/test_array_object.py::test_scalar_casting[__index__(int64)]:\n\n  - during reuse phase (0.00 seconds):\n    - Typical runtimes: < 1ms, ~ 71% in data generation\n    - 1 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.13 seconds):\n    - Typical runtimes: < 1ms, ~ 66% in data generation\n    - 99 passing examples, 0 failing examples, 3 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0005358900000000943, "outcome": "passed"}, "call": {"duration": 0.13609926100000003, "outcome": "passed"}, "teardown": {"duration": 0.0003897679999997905, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_array_object.py::test_scalar_casting[__float__(float32)]", "lineno": 237, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "test_scalar_casting[__float__(float32)]", "_hypothesis_internal_use_seed", "pytestmark", "array-api-tests", "ci", "test_array_object.py", "parametrize", "array_api_tests/__init__.py", "__float__(float32)", "is_hypothesis_test"], "metadata": {"test_module": "array_api_tests.test_array_object", "test_function": "test_scalar_casting", "array_api_function_name": "scalar_casting", "params": {"method_name": "__float__", "dtype": "float32", "stype": "float64"}, "hypothesis_statistics": "array_api_tests/test_array_object.py::test_scalar_casting[__float__(float32)]:\n\n  - during reuse phase (0.00 seconds):\n    - Typical runtimes: < 1ms, ~ 59% in data generation\n    - 1 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.14 seconds):\n    - Typical runtimes: 0-1 ms, ~ 63% in data generation\n    - 99 passing examples, 0 failing examples, 0 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0005664250000005921, "outcome": "passed"}, "call": {"duration": 0.1389725740000003, "outcome": "passed"}, "teardown": {"duration": 0.0003936659999999037, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_array_object.py::test_scalar_casting[__float__(float64)]", "lineno": 237, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "pytestmark", "_hypothesis_internal_use_seed", "array-api-tests", "__float__(float64)", "test_scalar_casting[__float__(float64)]", "ci", "test_array_object.py", "parametrize", "array_api_tests/__init__.py", "is_hypothesis_test"], "metadata": {"test_module": "array_api_tests.test_array_object", "test_function": "test_scalar_casting", "array_api_function_name": "scalar_casting", "params": {"method_name": "__float__", "dtype": "float64", "stype": "float64"}, "hypothesis_statistics": "array_api_tests/test_array_object.py::test_scalar_casting[__float__(float64)]:\n\n  - during reuse phase (0.00 seconds):\n    - Typical runtimes: < 1ms, ~ 58% in data generation\n    - 1 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.13 seconds):\n    - Typical runtimes: 0-1 ms, ~ 62% in data generation\n    - 99 passing examples, 0 failing examples, 0 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0005318030000003304, "outcome": "passed"}, "call": {"duration": 0.1327418869999999, "outcome": "passed"}, "teardown": {"duration": 0.000372438000000308, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_constants.py::test_irrational_numbers[e-2.718281828459045]", "lineno": 22, "outcome": "passed", "keywords": ["parametrize", "array-api-tests", "test_constants.py", "array_api_tests/__init__.py", "e-2.718281828459045", "pytestmark", "test_irrational_numbers[e-2.718281828459045]", "ci"], "metadata": {"test_module": "array_api_tests.test_constants", "test_function": "test_irrational_numbers", "array_api_function_name": "irrational_numbers", "params": {"name": "e", "n": 2.718281828459045}}, "setup": {"duration": 0.0006235860000005644, "outcome": "passed"}, "call": {"duration": 0.00020081800000060213, "outcome": "passed"}, "teardown": {"duration": 0.00017093800000012038, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_constants.py::test_irrational_numbers[pi-3.141592653589793]", "lineno": 22, "outcome": "passed", "keywords": ["parametrize", "array-api-tests", "ci", "test_constants.py", "array_api_tests/__init__.py", "pytestmark", "test_irrational_numbers[pi-3.141592653589793]", "pi-3.141592653589793"], "metadata": {"test_module": "array_api_tests.test_constants", "test_function": "test_irrational_numbers", "array_api_function_name": "irrational_numbers", "params": {"name": "pi", "n": 3.141592653589793}}, "setup": {"duration": 0.0004188129999995738, "outcome": "passed"}, "call": {"duration": 0.00017090099999972352, "outcome": "passed"}, "teardown": {"duration": 0.0003361860000001826, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_constants.py::test_inf", "lineno": 35, "outcome": "passed", "keywords": ["test_inf", "array-api-tests", "ci", "test_constants.py", "array_api_tests/__init__.py"], "metadata": {"test_module": "array_api_tests.test_constants", "test_function": "test_inf", "array_api_function_name": "inf"}, "setup": {"duration": 0.0005435739999999356, "outcome": "passed"}, "call": {"duration": 0.00031182899999926406, "outcome": "passed"}, "teardown": {"duration": 0.00036101400000010386, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_constants.py::test_nan", "lineno": 45, "outcome": "passed", "keywords": ["array-api-tests", "ci", "test_constants.py", "test_nan", "array_api_tests/__init__.py"], "metadata": {"test_module": "array_api_tests.test_constants", "test_function": "test_nan", "array_api_function_name": "nan"}, "setup": {"duration": 0.00039818099999955336, "outcome": "passed"}, "call": {"duration": 0.00017979500000020465, "outcome": "passed"}, "teardown": {"duration": 0.00026928700000006245, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_creation_functions.py::test_arange", "lineno": 81, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "array_api_tests/__init__.py", "test_creation_functions.py", "is_hypothesis_test", "test_arange", "hypothesis", "array-api-tests", "_hypothesis_internal_use_seed", "ci"], "metadata": {"test_module": "array_api_tests.test_creation_functions", "test_function": "test_arange", "array_api_function_name": "arange", "hypothesis_statistics": "array_api_tests/test_creation_functions.py::test_arange:\n\n  - during reuse phase (0.02 seconds):\n    - Typical runtimes: 1-6 ms, ~ 59% in data generation\n    - 5 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.74 seconds):\n    - Typical runtimes: 0-4 ms, ~ 67% in data generation\n    - 95 passing examples, 0 failing examples, 170 invalid examples\n    - Events:\n      * 1.13%, Retried draw from FloatStrategy(allow_infinity=False, allow_nan=False, width=64).filter(lambda n: float_min <= n <= float_max) to satisfy filter\n      * 0.38%, Retried draw from FloatStrategy(allow_infinity=False, allow_nan=False, width=64).map(lambda x: max_value - abs(x)).filter(lambda x: not math.isinf(x)).filter(lambda n: float_min <= n <= float_max) to satisfy filter\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0004167119999998192, "outcome": "passed"}, "call": {"duration": 0.7612919329999999, "outcome": "passed"}, "teardown": {"duration": 0.00039271700000043097, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_creation_functions.py::test_asarray_scalars", "lineno": 192, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "array_api_tests/__init__.py", "test_creation_functions.py", "is_hypothesis_test", "hypothesis", "array-api-tests", "_hypothesis_internal_use_seed", "ci", "test_asarray_scalars"], "metadata": {"test_module": "array_api_tests.test_creation_functions", "test_function": "test_asarray_scalars", "array_api_function_name": "asarray_scalars", "hypothesis_statistics": "array_api_tests/test_creation_functions.py::test_asarray_scalars:\n\n  - during reuse phase (0.05 seconds):\n    - Typical runtimes: 1-4 ms, ~ 62% in data generation\n    - 10 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.67 seconds):\n    - Typical runtimes: 1-3 ms, ~ 80% in data generation\n    - 90 passing examples, 0 failing examples, 129 invalid examples\n    - Events:\n      * 4.57%, Retried draw from ListStrategy(one_of(from_dtype(dtype('float32')), from_dtype(dtype('int32'))), min_size=1, max_size=1).filter(lambda l: any(type(e) == scalar_type for e in l)) to satisfy filter\n      * 1.37%, Retried draw from ListStrategy(one_of(from_dtype(dtype('int32')), booleans()), min_size=1, max_size=1).filter(lambda l: any(type(e) == scalar_type for e in l)) to satisfy filter\n      * 0.46%, Aborted test because unable to satisfy ListStrategy(one_of(from_dtype(dtype('float32')), from_dtype(dtype('int32'))), min_size=1, max_size=1).filter(lambda l: any(type(e) == scalar_type for e in l))\n      * 0.46%, Aborted test because unable to satisfy ListStrategy(one_of(from_dtype(dtype('int32')), booleans()), min_size=1, max_size=1).filter(lambda l: any(type(e) == scalar_type for e in l))\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0003459939999999051, "outcome": "passed"}, "call": {"duration": 0.7235782879999997, "outcome": "passed"}, "teardown": {"duration": 0.0003889699999994889, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_creation_functions.py::test_asarray_arrays", "lineno": 255, "outcome": "failed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "array_api_tests/__init__.py", "test_creation_functions.py", "is_hypothesis_test", "hypothesis", "array-api-tests", "_hypothesis_internal_use_seed", "ci", "test_asarray_arrays"], "metadata": {"test_module": "array_api_tests.test_creation_functions", "test_function": "test_asarray_arrays", "array_api_function_name": "asarray_arrays", "hypothesis_report_information": ["Falsifying example: test_asarray_arrays(\n    shape=(),\n    dtypes=OnewayPromotableDtypes(input_dtype=dtype('bool'), result_dtype=dtype('bool')),\n    data=data(...),\n)", "Draw 1 (x): Array(False, dtype=bool)", "Draw 2 (kw): {'copy': False}"], "hypothesis_statistics": "array_api_tests/test_creation_functions.py::test_asarray_arrays:\n\n  - during reuse phase (0.19 seconds):\n    - Typical runtimes: 17-53 ms, ~ 8% in data generation\n    - 0 passing examples, 8 failing examples, 0 invalid examples\n    - Found 1 distinct error in this phase\n\n  - during shrink phase (0.05 seconds):\n    - Typical runtimes: 0-17 ms, ~ 80% in data generation\n    - 6 passing examples, 1 failing examples, 9 invalid examples\n    - Tried 16 shrinks of which 0 were successful\n\n  - Stopped because nothing left to do"}, "setup": {"duration": 0.00029953599999998914, "outcome": "passed"}, "call": {"duration": 0.2469261730000003, "outcome": "failed", "crash": {"path": "/Users/aaronmeurer/anaconda3/envs/array-apis/lib/python3.9/site-packages/numpy/array_api/_creation_functions.py", "lineno": 60, "message": "NotImplementedError: copy=False is not yet implemented"}, "traceback": [{"path": "array_api_tests/test_creation_functions.py", "lineno": 257, "message": ""}, {"path": "array_api_tests/test_creation_functions.py", "lineno": 271, "message": "in test_asarray_arrays"}, {"path": "../../anaconda3/envs/array-apis/lib/python3.9/site-packages/numpy/array_api/_creation_functions.py", "lineno": 60, "message": "NotImplementedError"}], "longrepr": ">   ???\n\narray_api_tests/test_creation_functions.py:257: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _\narray_api_tests/test_creation_functions.py:271: in test_asarray_arrays\n    out = xp.asarray(x, **kw)\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _\n\nobj = Array(False, dtype=bool)\n\n    def asarray(\n        obj: Union[\n            Array,\n            bool,\n            int,\n            float,\n            NestedSequence[bool | int | float],\n            SupportsBufferProtocol,\n        ],\n        /,\n        *,\n        dtype: Optional[Dtype] = None,\n        device: Optional[Device] = None,\n        copy: Optional[Union[bool, np._CopyMode]] = None,\n    ) -> Array:\n        \"\"\"\n        Array API compatible wrapper for :py:func:`np.asarray <numpy.asarray>`.\n    \n        See its docstring for more information.\n        \"\"\"\n        # _array_object imports in this file are inside the functions to avoid\n        # circular imports\n        from ._array_object import Array\n    \n        _check_valid_dtype(dtype)\n        if device not in [\"cpu\", None]:\n            raise ValueError(f\"Unsupported device {device!r}\")\n        if copy in (False, np._CopyMode.IF_NEEDED):\n            # Note: copy=False is not yet implemented in np.asarray\n>           raise NotImplementedError(\"copy=False is not yet implemented\")\nE           NotImplementedError: copy=False is not yet implemented\n\n../../anaconda3/envs/array-apis/lib/python3.9/site-packages/numpy/array_api/_creation_functions.py:60: NotImplementedError"}, "teardown": {"duration": 0.0004546619999992174, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_creation_functions.py::test_empty", "lineno": 309, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "array_api_tests/__init__.py", "test_creation_functions.py", "is_hypothesis_test", "test_empty", "hypothesis", "array-api-tests", "_hypothesis_internal_use_seed", "ci"], "metadata": {"test_module": "array_api_tests.test_creation_functions", "test_function": "test_empty", "array_api_function_name": "empty", "hypothesis_statistics": "array_api_tests/test_creation_functions.py::test_empty:\n\n  - during reuse phase (0.01 seconds):\n    - Typical runtimes: < 1ms, ~ 62% in data generation\n    - 6 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.19 seconds):\n    - Typical runtimes: < 1ms, ~ 66% in data generation\n    - 94 passing examples, 0 failing examples, 1 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0003394889999999151, "outcome": "passed"}, "call": {"duration": 0.19877020000000023, "outcome": "passed"}, "teardown": {"duration": 0.0003101530000009234, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_creation_functions.py::test_empty_like", "lineno": 319, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "array_api_tests/__init__.py", "test_empty_like", "test_creation_functions.py", "is_hypothesis_test", "hypothesis", "array-api-tests", "_hypothesis_internal_use_seed", "ci"], "metadata": {"test_module": "array_api_tests.test_creation_functions", "test_function": "test_empty_like", "array_api_function_name": "empty_like", "hypothesis_statistics": "array_api_tests/test_creation_functions.py::test_empty_like:\n\n  - during reuse phase (0.01 seconds):\n    - Typical runtimes: 0-1 ms, ~ 74% in data generation\n    - 10 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.83 seconds):\n    - Typical runtimes: 0-1 ms, ~ 84% in data generation\n    - 90 passing examples, 0 failing examples, 89 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.00031398600000009935, "outcome": "passed"}, "call": {"duration": 0.8517271290000004, "outcome": "passed"}, "teardown": {"duration": 0.00033847799999975337, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_creation_functions.py::test_eye", "lineno": 332, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "test_eye", "array_api_tests/__init__.py", "test_creation_functions.py", "is_hypothesis_test", "hypothesis", "array-api-tests", "_hypothesis_internal_use_seed", "ci"], "metadata": {"test_module": "array_api_tests.test_creation_functions", "test_function": "test_eye", "array_api_function_name": "eye", "hypothesis_statistics": "array_api_tests/test_creation_functions.py::test_eye:\n\n  - during reuse phase (0.01 seconds):\n    - Typical runtimes: 0-1 ms, ~ 66% in data generation\n    - 4 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (5.66 seconds):\n    - Typical runtimes: 0-224 ms, ~ 23% in data generation\n    - 96 passing examples, 0 failing examples, 6 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.00030177800000075194, "outcome": "passed"}, "call": {"duration": 5.675481628, "outcome": "passed"}, "teardown": {"duration": 0.00041011100000076794, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_creation_functions.py::test_full", "lineno": 377, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "test_full", "array_api_tests/__init__.py", "test_creation_functions.py", "is_hypothesis_test", "hypothesis", "array-api-tests", "_hypothesis_internal_use_seed", "ci"], "metadata": {"test_module": "array_api_tests.test_creation_functions", "test_function": "test_full", "array_api_function_name": "full", "hypothesis_statistics": "array_api_tests/test_creation_functions.py::test_full:\n\n  - during reuse phase (0.03 seconds):\n    - Typical runtimes: 0-1 ms, ~ 72% in data generation\n    - 10 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.24 seconds):\n    - Typical runtimes: 0-1 ms, ~ 74% in data generation\n    - 90 passing examples, 0 failing examples, 23 invalid examples\n    - Events:\n      * 1.77%, Retried draw from sampled_from([dtype('uint8'), dtype('uint16'), dtype('uint32'), dtype('uint64')]).filter(lambda d: d not in default_unsafe_dtypes) to satisfy filter\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0003175120000005194, "outcome": "passed"}, "call": {"duration": 0.2682715239999993, "outcome": "passed"}, "teardown": {"duration": 0.0003878670000005968, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_creation_functions.py::test_full_like", "lineno": 414, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "test_full_like", "_hypothesis_internal_use_reproduce_failure", "array_api_tests/__init__.py", "test_creation_functions.py", "is_hypothesis_test", "hypothesis", "array-api-tests", "_hypothesis_internal_use_seed", "ci"], "metadata": {"test_module": "array_api_tests.test_creation_functions", "test_function": "test_full_like", "array_api_function_name": "full_like", "hypothesis_statistics": "array_api_tests/test_creation_functions.py::test_full_like:\n\n  - during reuse phase (0.02 seconds):\n    - Typical runtimes: 0-1 ms, ~ 77% in data generation\n    - 10 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.53 seconds):\n    - Typical runtimes: 0-1 ms, ~ 85% in data generation\n    - 90 passing examples, 0 failing examples, 95 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.00036139100000021074, "outcome": "passed"}, "call": {"duration": 0.5518537210000005, "outcome": "passed"}, "teardown": {"duration": 0.0003182160000001488, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_creation_functions.py::test_linspace", "lineno": 433, "outcome": "failed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "test_linspace", "array_api_tests/__init__.py", "test_creation_functions.py", "is_hypothesis_test", "hypothesis", "array-api-tests", "_hypothesis_internal_use_seed", "ci"], "metadata": {"test_module": "array_api_tests.test_creation_functions", "test_function": "test_linspace", "array_api_function_name": "linspace", "hypothesis_report_information": ["Falsifying example: test_linspace(\n    num=1, dtype=dtype('float64'), endpoint=False, data=data(...),\n)", "Draw 1 (start): -9.9792015476736e+291", "Draw 2 (stop): 1.7976931348623157e+308", "Draw 3 (kw): {'dtype': dtype('float64'), 'endpoint': False}"], "hypothesis_statistics": "array_api_tests/test_creation_functions.py::test_linspace:\n\n  - during reuse phase (0.17 seconds):\n    - Typical runtimes: 13-15 ms, ~ 5% in data generation\n    - 0 passing examples, 10 failing examples, 0 invalid examples\n    - Found 1 distinct error in this phase\n\n  - during shrink phase (0.21 seconds):\n    - Typical runtimes: 0-1 ms, ~ 66% in data generation\n    - 78 passing examples, 1 failing examples, 64 invalid examples\n    - Tried 143 shrinks of which 0 were successful\n\n  - Stopped because nothing left to do"}, "setup": {"duration": 0.00036646299999887333, "outcome": "passed"}, "call": {"duration": 0.382336574, "outcome": "failed", "crash": {"path": "/Users/aaronmeurer/Documents/array-api-tests/array_api_tests/test_creation_functions.py", "lineno": 465, "message": "AssertionError: out[0]=nan, but should be -9.9792015476736e+291 [linspace(-9.9792015476736e+291, 1.7976931348623157e+308, 1)]\nassert Array(False, dtype=bool)\n +  where Array(False, dtype=bool) = <function equal at 0x10ac26ca0>(Array(nan, dtype=float64), Array(-9.97920155e+291, dtype=float64))\n +    where <function equal at 0x10ac26ca0> = xp.equal\n +    and   Array(-9.97920155e+291, dtype=float64) = <function asarray at 0x10abfd1f0>(-9.9792015476736e+291, dtype=dtype('float64'))\n +      where <function asarray at 0x10abfd1f0> = xp.asarray\n +      and   dtype('float64') = Array([nan], dtype=float64).dtype"}, "traceback": [{"path": "array_api_tests/test_creation_functions.py", "lineno": 435, "message": ""}, {"path": "array_api_tests/test_creation_functions.py", "lineno": 465, "message": "AssertionError"}], "longrepr": "@given(\n>       num=hh.sizes,\n        dtype=st.none() | xps.floating_dtypes(),\n        endpoint=st.booleans(),\n        data=st.data(),\n    )\n\narray_api_tests/test_creation_functions.py:435: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _\n\nnum = 1, dtype = dtype('float64'), endpoint = False, data = data(...)\n\n    @given(\n        num=hh.sizes,\n        dtype=st.none() | xps.floating_dtypes(),\n        endpoint=st.booleans(),\n        data=st.data(),\n    )\n    def test_linspace(num, dtype, endpoint, data):\n        _dtype = dh.default_float if dtype is None else dtype\n    \n        start = data.draw(xps.from_dtype(_dtype, **finite_kw), label=\"start\")\n        stop = data.draw(xps.from_dtype(_dtype, **finite_kw), label=\"stop\")\n        # avoid overflow errors\n        assume(not xp.isnan(xp.asarray(stop - start, dtype=_dtype)))\n        assume(not xp.isnan(xp.asarray(start - stop, dtype=_dtype)))\n    \n        kw = data.draw(\n            hh.specified_kwargs(\n                hh.KVD(\"dtype\", dtype, None),\n                hh.KVD(\"endpoint\", endpoint, True),\n            ),\n            label=\"kw\",\n        )\n        out = xp.linspace(start, stop, num, **kw)\n    \n        if dtype is None:\n            ph.assert_default_float(\"linspace\", out.dtype)\n        else:\n            ph.assert_kw_dtype(\"linspace\", dtype, out.dtype)\n        ph.assert_shape(\"linspace\", out.shape, num, start=stop, stop=stop, num=num)\n        f_func = f\"[linspace({start}, {stop}, {num})]\"\n        if num > 0:\n>           assert xp.equal(\n                out[0], xp.asarray(start, dtype=out.dtype)\n            ), f\"out[0]={out[0]}, but should be {start} {f_func}\"\nE           AssertionError: out[0]=nan, but should be -9.9792015476736e+291 [linspace(-9.9792015476736e+291, 1.7976931348623157e+308, 1)]\nE           assert Array(False, dtype=bool)\nE            +  where Array(False, dtype=bool) = <function equal at 0x10ac26ca0>(Array(nan, dtype=float64), Array(-9.97920155e+291, dtype=float64))\nE            +    where <function equal at 0x10ac26ca0> = xp.equal\nE            +    and   Array(-9.97920155e+291, dtype=float64) = <function asarray at 0x10abfd1f0>(-9.9792015476736e+291, dtype=dtype('float64'))\nE            +      where <function asarray at 0x10abfd1f0> = xp.asarray\nE            +      and   dtype('float64') = Array([nan], dtype=float64).dtype\n\narray_api_tests/test_creation_functions.py:465: AssertionError"}, "teardown": {"duration": 0.0005811360000009813, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_creation_functions.py::test_meshgrid", "lineno": 480, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "array_api_tests/__init__.py", "test_creation_functions.py", "is_hypothesis_test", "test_meshgrid", "hypothesis", "array-api-tests", "_hypothesis_internal_use_seed", "ci"], "metadata": {"test_module": "array_api_tests.test_creation_functions", "test_function": "test_meshgrid", "array_api_function_name": "meshgrid", "hypothesis_statistics": "array_api_tests/test_creation_functions.py::test_meshgrid:\n\n  - during reuse phase (0.01 seconds):\n    - Typical runtimes: 1-2 ms, ~ 74% in data generation\n    - 4 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.45 seconds):\n    - Typical runtimes: 0-3 ms, ~ 81% in data generation\n    - 96 passing examples, 0 failing examples, 38 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.00047250700000134316, "outcome": "passed"}, "call": {"duration": 0.46199122499999845, "outcome": "passed"}, "teardown": {"duration": 0.00034053999999983375, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_creation_functions.py::test_ones", "lineno": 511, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "array_api_tests/__init__.py", "test_creation_functions.py", "is_hypothesis_test", "hypothesis", "array-api-tests", "_hypothesis_internal_use_seed", "ci", "test_ones"], "metadata": {"test_module": "array_api_tests.test_creation_functions", "test_function": "test_ones", "array_api_function_name": "ones", "hypothesis_statistics": "array_api_tests/test_creation_functions.py::test_ones:\n\n  - during reuse phase (0.01 seconds):\n    - Typical runtimes: < 1ms, ~ 58% in data generation\n    - 6 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.28 seconds):\n    - Typical runtimes: 0-2 ms, ~ 53% in data generation\n    - 94 passing examples, 0 failing examples, 0 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.00041665000000179475, "outcome": "passed"}, "call": {"duration": 0.28954531999999844, "outcome": "passed"}, "teardown": {"duration": 0.0003165349999996181, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_creation_functions.py::test_ones_like", "lineno": 523, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "array_api_tests/__init__.py", "test_creation_functions.py", "is_hypothesis_test", "hypothesis", "array-api-tests", "_hypothesis_internal_use_seed", "ci", "test_ones_like"], "metadata": {"test_module": "array_api_tests.test_creation_functions", "test_function": "test_ones_like", "array_api_function_name": "ones_like", "hypothesis_statistics": "array_api_tests/test_creation_functions.py::test_ones_like:\n\n  - during reuse phase (0.02 seconds):\n    - Typical runtimes: ~ 1ms, ~ 69% in data generation\n    - 10 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.29 seconds):\n    - Typical runtimes: 0-1 ms, ~ 77% in data generation\n    - 90 passing examples, 0 failing examples, 62 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0005469080000004567, "outcome": "passed"}, "call": {"duration": 0.3127288799999981, "outcome": "passed"}, "teardown": {"duration": 0.00035712800000098355, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_creation_functions.py::test_zeros", "lineno": 547, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "test_zeros", "array_api_tests/__init__.py", "test_creation_functions.py", "is_hypothesis_test", "hypothesis", "array-api-tests", "_hypothesis_internal_use_seed", "ci"], "metadata": {"test_module": "array_api_tests.test_creation_functions", "test_function": "test_zeros", "array_api_function_name": "zeros", "hypothesis_statistics": "array_api_tests/test_creation_functions.py::test_zeros:\n\n  - during reuse phase (0.01 seconds):\n    - Typical runtimes: < 1ms, ~ 57% in data generation\n    - 6 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.20 seconds):\n    - Typical runtimes: 0-1 ms, ~ 57% in data generation\n    - 94 passing examples, 0 failing examples, 2 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.000554441000002015, "outcome": "passed"}, "call": {"duration": 0.21479988500000147, "outcome": "passed"}, "teardown": {"duration": 0.00031375000000011255, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_creation_functions.py::test_zeros_like", "lineno": 559, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "array_api_tests/__init__.py", "test_creation_functions.py", "is_hypothesis_test", "hypothesis", "array-api-tests", "_hypothesis_internal_use_seed", "ci", "test_zeros_like"], "metadata": {"test_module": "array_api_tests.test_creation_functions", "test_function": "test_zeros_like", "array_api_function_name": "zeros_like", "hypothesis_statistics": "array_api_tests/test_creation_functions.py::test_zeros_like:\n\n  - during reuse phase (0.02 seconds):\n    - Typical runtimes: 0-1 ms, ~ 70% in data generation\n    - 10 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.73 seconds):\n    - Typical runtimes: 0-1 ms, ~ 78% in data generation\n    - 90 passing examples, 0 failing examples, 76 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.00044293300000219915, "outcome": "passed"}, "call": {"duration": 0.7549773799999997, "outcome": "passed"}, "teardown": {"duration": 0.00031396799999683367, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_data_type_functions.py::test_astype", "lineno": 22, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "array_api_tests/__init__.py", "test_data_type_functions.py", "is_hypothesis_test", "test_astype", "hypothesis", "array-api-tests", "_hypothesis_internal_use_seed", "ci"], "metadata": {"test_module": "array_api_tests.test_data_type_functions", "test_function": "test_astype", "array_api_function_name": "astype", "hypothesis_statistics": "array_api_tests/test_data_type_functions.py::test_astype:\n\n  - during reuse phase (0.02 seconds):\n    - Typical runtimes: 1-3 ms, ~ 51% in data generation\n    - 8 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.38 seconds):\n    - Typical runtimes: 1-2 ms, ~ 55% in data generation\n    - 92 passing examples, 0 failing examples, 16 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0003772210000008158, "outcome": "passed"}, "call": {"duration": 0.41307086999999854, "outcome": "passed"}, "teardown": {"duration": 0.000450579999998979, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_data_type_functions.py::test_broadcast_arrays", "lineno": 61, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "test_broadcast_arrays", "array_api_tests/__init__.py", "test_data_type_functions.py", "is_hypothesis_test", "hypothesis", "array-api-tests", "_hypothesis_internal_use_seed", "ci"], "metadata": {"test_module": "array_api_tests.test_data_type_functions", "test_function": "test_broadcast_arrays", "array_api_function_name": "broadcast_arrays", "hypothesis_statistics": "array_api_tests/test_data_type_functions.py::test_broadcast_arrays:\n\n  - during reuse phase (0.01 seconds):\n    - Typical runtimes: ~ 1ms, ~ 82% in data generation\n    - 3 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.53 seconds):\n    - Typical runtimes: 1-7 ms, ~ 87% in data generation\n    - 97 passing examples, 0 failing examples, 32 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.000299607000002311, "outcome": "passed"}, "call": {"duration": 0.541690826, "outcome": "passed"}, "teardown": {"duration": 0.00035723799999942685, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_data_type_functions.py::test_broadcast_to", "lineno": 87, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "array_api_tests/__init__.py", "test_data_type_functions.py", "is_hypothesis_test", "hypothesis", "array-api-tests", "_hypothesis_internal_use_seed", "test_broadcast_to", "ci"], "metadata": {"test_module": "array_api_tests.test_data_type_functions", "test_function": "test_broadcast_to", "array_api_function_name": "broadcast_to", "hypothesis_statistics": "array_api_tests/test_data_type_functions.py::test_broadcast_to:\n\n  - during reuse phase (0.01 seconds):\n    - Typical runtimes: 1-3 ms, ~ 51% in data generation\n    - 3 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.70 seconds):\n    - Typical runtimes: 1-4 ms, ~ 64% in data generation\n    - 97 passing examples, 0 failing examples, 52 invalid examples\n    - Events:\n      * 5.37%, Retried draw from mutually_broadcastable_shapes(1, base_shape=(0,), max_dims=6, min_side=0, max_side=5).map(lambda BS: <unknown>).filter(lambda shapes: <unknown>).map(lambda S: <unknown>).filter(lambda s: <unknown>) to satisfy filter\n      * 3.36%, Aborted test because unable to satisfy mutually_broadcastable_shapes(1, base_shape=(0,), max_dims=6, min_side=0, max_side=5).map(lambda BS: <unknown>).filter(lambda shapes: <unknown>).map(lambda S: <unknown>).filter(lambda s: <unknown>)\n      * 2.01%, Retried draw from mutually_broadcastable_shapes(1, base_shape=(0, 0), max_dims=7, min_side=0, max_side=5).map(lambda BS: <unknown>).filter(lambda shapes: <unknown>).map(lambda S: <unknown>).filter(lambda s: <unknown>) to satisfy filter\n      * 2.01%, Retried draw from mutually_broadcastable_shapes(1, base_shape=(1, 4), max_dims=7, min_side=0, max_side=9).map(lambda BS: <unknown>).filter(lambda shapes: <unknown>).map(lambda S: <unknown>).filter(lambda s: <unknown>) to satisfy filter\n      * 1.34%, Aborted test because unable to satisfy mutually_broadcastable_shapes(1, base_shape=(5, 5), max_dims=7, min_side=0, max_side=10).map(lambda BS: <unknown>).filter(lambda shapes: <unknown>).map(lambda S: <unknown>).filter(lambda s: <unknown>)\n      * 1.34%, Retried draw from mutually_broadcastable_shapes(1, base_shape=(3, 5), max_dims=7, min_side=0, max_side=10).map(lambda BS: <unknown>).filter(lambda shapes: <unknown>).map(lambda S: <unknown>).filter(lambda s: <unknown>) to satisfy filter\n      * 1.34%, Retried draw from mutually_broadcastable_shapes(1, base_shape=(3,), max_dims=6, min_side=0, max_side=8).map(lambda BS: <unknown>).filter(lambda shapes: <unknown>).map(lambda S: <unknown>).filter(lambda s: <unknown>) to satisfy filter\n      * 1.34%, Retried draw from mutually_broadcastable_shapes(1, base_shape=(5, 5), max_dims=7, min_side=0, max_side=10).map(lambda BS: <unknown>).filter(lambda shapes: <unknown>).map(lambda S: <unknown>).filter(lambda s: <unknown>) to satisfy filter\n      * 0.67%, Aborted test because unable to satisfy mutually_broadcastable_shapes(1, base_shape=(0, 5), max_dims=7, min_side=0, max_side=10).map(lambda BS: <unknown>).filter(lambda shapes: <unknown>).map(lambda S: <unknown>).filter(lambda s: <unknown>)\n      * 0.67%, Aborted test because unable to satisfy mutually_broadcastable_shapes(1, base_shape=(1, 4), max_dims=7, min_side=0, max_side=9).map(lambda BS: <unknown>).filter(lambda shapes: <unknown>).map(lambda S: <unknown>).filter(lambda s: <unknown>)\n      * 0.67%, Aborted test because unable to satisfy mutually_broadcastable_shapes(1, base_shape=(2, 4), max_dims=7, min_side=0, max_side=9).map(lambda BS: <unknown>).filter(lambda shapes: <unknown>).map(lambda S: <unknown>).filter(lambda s: <unknown>)\n      * 0.67%, Aborted test because unable to satisfy mutually_broadcastable_shapes(1, base_shape=(3, 1), max_dims=7, min_side=0, max_side=8).map(lambda BS: <unknown>).filter(lambda shapes: <unknown>).map(lambda S: <unknown>).filter(lambda s: <unknown>)\n      * 0.67%, Aborted test because unable to satisfy mutually_broadcastable_shapes(1, base_shape=(3,), max_dims=6, min_side=0, max_side=8).map(lambda BS: <unknown>).filter(lambda shapes: <unknown>).map(lambda S: <unknown>).filter(lambda s: <unknown>)\n      * 0.67%, Retried draw from mutually_broadcastable_shapes(1, base_shape=(0, 1), max_dims=7, min_side=0, max_side=6).map(lambda BS: <unknown>).filter(lambda shapes: <unknown>).map(lambda S: <unknown>).filter(lambda s: <unknown>) to satisfy filter\n      * 0.67%, Retried draw from mutually_broadcastable_shapes(1, base_shape=(0, 5), max_dims=7, min_side=0, max_side=10).map(lambda BS: <unknown>).filter(lambda shapes: <unknown>).map(lambda S: <unknown>).filter(lambda s: <unknown>) to satisfy filter\n      * 0.67%, Retried draw from mutually_broadcastable_shapes(1, base_shape=(1, 1), max_dims=7, min_side=0, max_side=6).map(lambda BS: <unknown>).filter(lambda shapes: <unknown>).map(lambda S: <unknown>).filter(lambda s: <unknown>) to satisfy filter\n      * 0.67%, Retried draw from mutually_broadcastable_shapes(1, base_shape=(1, 3), max_dims=7, min_side=0, max_side=8).map(lambda BS: <unknown>).filter(lambda shapes: <unknown>).map(lambda S: <unknown>).filter(lambda s: <unknown>) to satisfy filter\n      * 0.67%, Retried draw from mutually_broadcastable_shapes(1, base_shape=(1,), max_dims=6, min_side=0, max_side=6).map(lambda BS: <unknown>).filter(lambda shapes: <unknown>).map(lambda S: <unknown>).filter(lambda s: <unknown>) to satisfy filter\n      * 0.67%, Retried draw from mutually_broadcastable_shapes(1, base_shape=(2, 3), max_dims=7, min_side=0, max_side=8).map(lambda BS: <unknown>).filter(lambda shapes: <unknown>).map(lambda S: <unknown>).filter(lambda s: <unknown>) to satisfy filter\n      * 0.67%, Retried draw from mutually_broadcastable_shapes(1, base_shape=(2, 4), max_dims=7, min_side=0, max_side=9).map(lambda BS: <unknown>).filter(lambda shapes: <unknown>).map(lambda S: <unknown>).filter(lambda s: <unknown>) to satisfy filter\n      * 0.67%, Retried draw from mutually_broadcastable_shapes(1, base_shape=(3, 1), max_dims=7, min_side=0, max_side=8).map(lambda BS: <unknown>).filter(lambda shapes: <unknown>).map(lambda S: <unknown>).filter(lambda s: <unknown>) to satisfy filter\n      * 0.67%, Retried draw from mutually_broadcastable_shapes(1, base_shape=(4, 1), max_dims=7, min_side=0, max_side=9).map(lambda BS: <unknown>).filter(lambda shapes: <unknown>).map(lambda S: <unknown>).filter(lambda s: <unknown>) to satisfy filter\n      * 0.67%, Retried draw from mutually_broadcastable_shapes(1, base_shape=(4, 4), max_dims=7, min_side=0, max_side=9).map(lambda BS: <unknown>).filter(lambda shapes: <unknown>).map(lambda S: <unknown>).filter(lambda s: <unknown>) to satisfy filter\n      * 0.67%, Retried draw from mutually_broadcastable_shapes(1, base_shape=(4,), max_dims=6, min_side=0, max_side=9).map(lambda BS: <unknown>).filter(lambda shapes: <unknown>).map(lambda S: <unknown>).filter(lambda s: <unknown>) to satisfy filter\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0003068600000020183, "outcome": "passed"}, "call": {"duration": 0.7122349379999982, "outcome": "passed"}, "teardown": {"duration": 0.00040323500000027934, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_data_type_functions.py::test_can_cast", "lineno": 103, "outcome": "failed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "test_can_cast", "array_api_tests/__init__.py", "test_data_type_functions.py", "is_hypothesis_test", "hypothesis", "array-api-tests", "_hypothesis_internal_use_seed", "ci"], "metadata": {"test_module": "array_api_tests.test_data_type_functions", "test_function": "test_can_cast", "array_api_function_name": "can_cast", "hypothesis_report_information": ["Falsifying example: test_can_cast(\n    _from=dtype('bool'), to=dtype('int8'), data=data(...),\n)", "Draw 1 (from_): dtype('bool')"], "hypothesis_statistics": "array_api_tests/test_data_type_functions.py::test_can_cast:\n\n  - during reuse phase (0.02 seconds):\n    - Typical runtimes: 6-7 ms, ~ 8% in data generation\n    - 0 passing examples, 2 failing examples, 0 invalid examples\n    - Found 1 distinct error in this phase\n\n  - during shrink phase (0.02 seconds):\n    - Typical runtimes: 1-6 ms, ~ 35% in data generation\n    - 1 passing examples, 1 failing examples, 3 invalid examples\n    - Tried 5 shrinks of which 0 were successful\n\n  - Stopped because nothing left to do"}, "setup": {"duration": 0.00035596200000043154, "outcome": "passed"}, "call": {"duration": 0.04051607100000254, "outcome": "failed", "crash": {"path": "/Users/aaronmeurer/Documents/array-api-tests/array_api_tests/test_data_type_functions.py", "lineno": 127, "message": "AssertionError: out=True, but should be False [can_cast(bool, int8)]\nassert True == False"}, "traceback": [{"path": "array_api_tests/test_data_type_functions.py", "lineno": 105, "message": ""}, {"path": "array_api_tests/test_data_type_functions.py", "lineno": 127, "message": "AssertionError"}], "longrepr": "@given(_from=xps.scalar_dtypes(), to=xps.scalar_dtypes(), data=st.data())\n>   def test_can_cast(_from, to, data):\n\narray_api_tests/test_data_type_functions.py:105: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _\n\n_from = dtype('bool'), to = dtype('int8'), data = data(...)\n\n    @given(_from=xps.scalar_dtypes(), to=xps.scalar_dtypes(), data=st.data())\n    def test_can_cast(_from, to, data):\n        from_ = data.draw(\n            st.just(_from) | xps.arrays(dtype=_from, shape=hh.shapes()), label=\"from_\"\n        )\n    \n        out = xp.can_cast(from_, to)\n    \n        f_func = f\"[can_cast({dh.dtype_to_name[_from]}, {dh.dtype_to_name[to]})]\"\n        assert isinstance(out, bool), f\"{type(out)=}, but should be bool {f_func}\"\n        if _from == xp.bool:\n            expected = to == xp.bool\n        else:\n            for dtypes in [dh.all_int_dtypes, dh.float_dtypes]:\n                if _from in dtypes:\n                    same_family = to in dtypes\n                    break\n            if same_family:\n                from_min, from_max = dh.dtype_ranges[_from]\n                to_min, to_max = dh.dtype_ranges[to]\n                expected = from_min >= to_min and from_max <= to_max\n            else:\n                expected = False\n>       assert out == expected, f\"{out=}, but should be {expected} {f_func}\"\nE       AssertionError: out=True, but should be False [can_cast(bool, int8)]\nE       assert True == False\n\narray_api_tests/test_data_type_functions.py:127: AssertionError"}, "teardown": {"duration": 0.0004644469999988132, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_data_type_functions.py::test_finfo[float32]", "lineno": 133, "outcome": "passed", "keywords": ["parametrize", "test_finfo[float32]", "test_data_type_functions.py", "array_api_tests/__init__.py", "array-api-tests", "pytestmark", "float32", "ci"], "metadata": {"test_module": "array_api_tests.test_data_type_functions", "test_function": "test_finfo", "array_api_function_name": "finfo", "params": {"dtype": "float32"}}, "setup": {"duration": 0.0005125619999972741, "outcome": "passed"}, "call": {"duration": 0.00022698199999737767, "outcome": "passed"}, "teardown": {"duration": 0.0001994689999982313, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_data_type_functions.py::test_finfo[float64]", "lineno": 133, "outcome": "passed", "keywords": ["float64", "parametrize", "test_data_type_functions.py", "array_api_tests/__init__.py", "array-api-tests", "pytestmark", "test_finfo[float64]", "ci"], "metadata": {"test_module": "array_api_tests.test_data_type_functions", "test_function": "test_finfo", "array_api_function_name": "finfo", "params": {"dtype": "float64"}}, "setup": {"duration": 0.00044861900000015, "outcome": "passed"}, "call": {"duration": 0.00021477700000005484, "outcome": "passed"}, "teardown": {"duration": 0.00019789999999986208, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_data_type_functions.py::test_iinfo[uint8]", "lineno": 152, "outcome": "passed", "keywords": ["parametrize", "array_api_tests/__init__.py", "uint8", "test_iinfo[uint8]", "array-api-tests", "pytestmark", "test_data_type_functions.py", "ci"], "metadata": {"test_module": "array_api_tests.test_data_type_functions", "test_function": "test_iinfo", "array_api_function_name": "iinfo", "params": {"dtype": "uint8"}}, "setup": {"duration": 0.0005695410000008394, "outcome": "passed"}, "call": {"duration": 0.00022350800000126014, "outcome": "passed"}, "teardown": {"duration": 0.000221899000003134, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_data_type_functions.py::test_iinfo[uint16]", "lineno": 152, "outcome": "passed", "keywords": ["parametrize", "test_data_type_functions.py", "array_api_tests/__init__.py", "array-api-tests", "pytestmark", "test_iinfo[uint16]", "uint16", "ci"], "metadata": {"test_module": "array_api_tests.test_data_type_functions", "test_function": "test_iinfo", "array_api_function_name": "iinfo", "params": {"dtype": "uint16"}}, "setup": {"duration": 0.0004956910000011305, "outcome": "passed"}, "call": {"duration": 0.00020749200000125256, "outcome": "passed"}, "teardown": {"duration": 0.000204312000001039, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_data_type_functions.py::test_iinfo[uint32]", "lineno": 152, "outcome": "passed", "keywords": ["uint32", "parametrize", "test_iinfo[uint32]", "array_api_tests/__init__.py", "array-api-tests", "pytestmark", "test_data_type_functions.py", "ci"], "metadata": {"test_module": "array_api_tests.test_data_type_functions", "test_function": "test_iinfo", "array_api_function_name": "iinfo", "params": {"dtype": "uint32"}}, "setup": {"duration": 0.0004698720000000378, "outcome": "passed"}, "call": {"duration": 0.0001945699999978956, "outcome": "passed"}, "teardown": {"duration": 0.00020546700000068086, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_data_type_functions.py::test_iinfo[uint64]", "lineno": 152, "outcome": "passed", "keywords": ["parametrize", "test_data_type_functions.py", "array_api_tests/__init__.py", "array-api-tests", "pytestmark", "uint64", "test_iinfo[uint64]", "ci"], "metadata": {"test_module": "array_api_tests.test_data_type_functions", "test_function": "test_iinfo", "array_api_function_name": "iinfo", "params": {"dtype": "uint64"}}, "setup": {"duration": 0.00045994599999943375, "outcome": "passed"}, "call": {"duration": 0.00020096299999750045, "outcome": "passed"}, "teardown": {"duration": 0.00020028600000188135, "outcome": 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0.0004610959999986619, "outcome": "passed"}, "call": {"duration": 0.00019108000000045422, "outcome": "passed"}, "teardown": {"duration": 0.00019520300000053226, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_has_names.py::test_has_names[array_attribute-mT]", "lineno": 23, "outcome": "passed", "keywords": ["array-api-tests", "pytestmark", "parametrize", "array_api_tests/__init__.py", "test_has_names[array_attribute-mT]", "array_attribute-mT", "test_has_names.py"], "metadata": {"test_module": "array_api_tests.test_has_names", "test_function": "test_has_names", "array_api_function_name": "float64", "params": {"category": "array_attribute", "name": "mT"}}, "setup": {"duration": 0.0004565320000011752, "outcome": "passed"}, "call": {"duration": 0.00021635599999925148, "outcome": "passed"}, "teardown": {"duration": 0.0001939309999983152, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_has_names.py::test_has_names[array_attribute-ndim]", "lineno": 23, "outcome": "passed", "keywords": ["array_attribute-ndim", "pytestmark", "array-api-tests", "test_has_names[array_attribute-ndim]", "parametrize", "array_api_tests/__init__.py", "test_has_names.py"], "metadata": {"test_module": "array_api_tests.test_has_names", "test_function": "test_has_names", "array_api_function_name": "float64", "params": {"category": "array_attribute", "name": "ndim"}}, "setup": {"duration": 0.0004569060000001457, "outcome": "passed"}, "call": {"duration": 0.00019122299999807524, "outcome": "passed"}, "teardown": {"duration": 0.00019740499999798544, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_has_names.py::test_has_names[array_attribute-shape]", "lineno": 23, "outcome": "passed", "keywords": ["pytestmark", "array-api-tests", "test_has_names[array_attribute-shape]", "parametrize", "array_api_tests/__init__.py", "array_attribute-shape", "test_has_names.py"], "metadata": {"test_module": "array_api_tests.test_has_names", "test_function": "test_has_names", "array_api_function_name": "float64", "params": {"category": "array_attribute", "name": "shape"}}, "setup": {"duration": 0.000456588999998786, "outcome": "passed"}, "call": {"duration": 0.00026715399999943656, "outcome": "passed"}, "teardown": {"duration": 0.00020263300000067375, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_has_names.py::test_has_names[array_attribute-size]", "lineno": 23, "outcome": "passed", "keywords": ["test_has_names[array_attribute-size]", "array_attribute-size", "pytestmark", "array-api-tests", "parametrize", "array_api_tests/__init__.py", "test_has_names.py"], "metadata": {"test_module": "array_api_tests.test_has_names", "test_function": "test_has_names", "array_api_function_name": "float64", "params": {"category": "array_attribute", "name": "size"}}, "setup": {"duration": 0.0006638050000020712, "outcome": "passed"}, "call": {"duration": 0.00028331700000094884, "outcome": "passed"}, "teardown": {"duration": 0.00031335999999981823, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_linalg.py::test_cholesky", "lineno": 98, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "pytestmark", "_hypothesis_internal_use_seed", "array-api-tests", "test_linalg.py", "ci", "xp_extension", "array_api_tests/__init__.py", "is_hypothesis_test", "test_cholesky"], "metadata": {"test_module": "array_api_tests.test_linalg", "test_function": "test_cholesky", "array_api_function_name": "cholesky", "hypothesis_statistics": "array_api_tests/test_linalg.py::test_cholesky:\n\n  - during reuse phase (0.00 seconds):\n    - Typical runtimes: ~ 3ms, ~ 40% in data generation\n    - 1 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.89 seconds):\n    - Typical runtimes: 1-11 ms, ~ 71% in data generation\n    - 99 passing examples, 0 failing examples, 26 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0003828910000009955, "outcome": "passed"}, "call": {"duration": 0.8983063609999995, "outcome": "passed"}, "teardown": {"duration": 0.00047852899999867304, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_linalg.py::test_cross", "lineno": 147, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "test_cross", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "pytestmark", "_hypothesis_internal_use_seed", "array-api-tests", "test_linalg.py", "ci", "xp_extension", "array_api_tests/__init__.py", "is_hypothesis_test"], "metadata": {"test_module": "array_api_tests.test_linalg", "test_function": "test_cross", "array_api_function_name": "cross", "hypothesis_statistics": "array_api_tests/test_linalg.py::test_cross:\n\n  - during reuse phase (0.02 seconds):\n    - Typical runtimes: 5-7 ms, ~ 75% in data generation\n    - 3 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (1.01 seconds):\n    - Typical runtimes: 2-7 ms, ~ 89% in data generation\n    - 97 passing examples, 0 failing examples, 62 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0010032559999970658, "outcome": "passed"}, "call": {"duration": 1.04321925, "outcome": "passed"}, "teardown": {"duration": 0.0003860019999990527, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_linalg.py::test_det", "lineno": 178, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "pytestmark", "_hypothesis_internal_use_seed", "array-api-tests", "test_linalg.py", "ci", "xp_extension", "array_api_tests/__init__.py", "test_det", "is_hypothesis_test"], "metadata": {"test_module": "array_api_tests.test_linalg", "test_function": "test_det", "array_api_function_name": "det", "hypothesis_statistics": "array_api_tests/test_linalg.py::test_det:\n\n  - during reuse phase (0.01 seconds):\n    - Typical runtimes: 1-2 ms, ~ 51% in data generation\n    - 2 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.46 seconds):\n    - Typical runtimes: 0-4 ms, ~ 75% in data generation\n    - 98 passing examples, 0 failing examples, 69 invalid examples\n    - Events:\n      * 64.07%, Retried draw from <hypothesis.strategies._internal.core.CompositeStrategy object at 0x10d2798e0>.filter(lambda shape: shape[-1] == shape[-2]) to satisfy filter\n      * 37.72%, Aborted test because unable to satisfy <hypothesis.strategies._internal.core.CompositeStrategy object at 0x10d2798e0>.filter(lambda shape: shape[-1] == shape[-2])\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0003809309999986965, "outcome": "passed"}, "call": {"duration": 0.46356207599999877, "outcome": "passed"}, "teardown": {"duration": 0.0003218209999999999, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_linalg.py::test_diagonal", "lineno": 192, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "pytestmark", "_hypothesis_internal_use_seed", "array-api-tests", "test_linalg.py", "ci", "xp_extension", "array_api_tests/__init__.py", "is_hypothesis_test", "test_diagonal"], "metadata": {"test_module": "array_api_tests.test_linalg", "test_function": "test_diagonal", "array_api_function_name": "diagonal", "hypothesis_statistics": "array_api_tests/test_linalg.py::test_diagonal:\n\n  - during reuse phase (0.01 seconds):\n    - Typical runtimes: 1-2 ms, ~ 57% in data generation\n    - 3 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.49 seconds):\n    - Typical runtimes: 0-4 ms, ~ 72% in data generation\n    - 97 passing examples, 0 failing examples, 35 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.00037558600000053843, "outcome": "passed"}, "call": {"duration": 0.5044022689999998, "outcome": "passed"}, "teardown": {"duration": 0.0003272039999977494, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_linalg.py::test_eigh", "lineno": 227, "outcome": "skipped", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "skip", "pytestmark", "_hypothesis_internal_use_seed", "array-api-tests", "test_linalg.py", "ci", "xp_extension", "array_api_tests/__init__.py", "test_eigh", "is_hypothesis_test"], "setup": {"duration": 0.0001821739999989802, "outcome": "skipped", "longrepr": "('/Users/aaronmeurer/Documents/array-api-tests/array_api_tests/test_linalg.py', 228, 'Skipped: Inputs need to be restricted')"}, "teardown": {"duration": 0.0003173109999998758, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_linalg.py::test_eigvalsh", "lineno": 252, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "pytestmark", "_hypothesis_internal_use_seed", "array-api-tests", "test_linalg.py", "ci", "xp_extension", "array_api_tests/__init__.py", "is_hypothesis_test", "test_eigvalsh"], "metadata": {"test_module": "array_api_tests.test_linalg", "test_function": "test_eigvalsh", "array_api_function_name": "eigvalsh", "hypothesis_statistics": "array_api_tests/test_linalg.py::test_eigvalsh:\n\n  - during reuse phase (0.01 seconds):\n    - Typical runtimes: 1-2 ms, ~ 51% in data generation\n    - 2 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.56 seconds):\n    - Typical runtimes: 0-5 ms, ~ 79% in data generation\n    - 98 passing examples, 0 failing examples, 79 invalid examples\n    - Events:\n      * 64.97%, Retried draw from <hypothesis.strategies._internal.core.CompositeStrategy object at 0x10d2798e0>.filter(lambda shape: shape[-1] == shape[-2]) to satisfy filter\n      * 41.81%, Aborted test because unable to satisfy <hypothesis.strategies._internal.core.CompositeStrategy object at 0x10d2798e0>.filter(lambda shape: shape[-1] == shape[-2])\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.00040269300000161934, "outcome": "passed"}, "call": {"duration": 0.5659687769999984, "outcome": "passed"}, "teardown": {"duration": 0.0003610489999985589, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_linalg.py::test_inv", "lineno": 266, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "pytestmark", "_hypothesis_internal_use_seed", "array-api-tests", "test_linalg.py", "ci", "xp_extension", "test_inv", "array_api_tests/__init__.py", "is_hypothesis_test"], "metadata": {"test_module": "array_api_tests.test_linalg", "test_function": "test_inv", "array_api_function_name": "inv", "hypothesis_statistics": "array_api_tests/test_linalg.py::test_inv:\n\n  - during reuse phase (0.00 seconds):\n    - Typical runtimes: ~ 1ms, ~ 62% in data generation\n    - 2 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (1.46 seconds):\n    - Typical runtimes: 0-28 ms, ~ 81% in data generation\n    - 98 passing examples, 0 failing examples, 25 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0004898990000015147, "outcome": "passed"}, "call": {"duration": 1.463071370999998, "outcome": "passed"}, "teardown": {"duration": 0.0004753169999993645, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_linalg.py::test_matmul", "lineno": 278, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "test_linalg.py", "array_api_tests/__init__.py", "test_matmul", "is_hypothesis_test", "hypothesis", "array-api-tests", "_hypothesis_internal_use_seed", "ci"], "metadata": {"test_module": "array_api_tests.test_linalg", "test_function": "test_matmul", "array_api_function_name": "matmul", "hypothesis_statistics": "array_api_tests/test_linalg.py::test_matmul:\n\n  - during reuse phase (0.01 seconds):\n    - Typical runtimes: 1-2 ms, ~ 86% in data generation\n    - 3 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.57 seconds):\n    - Typical runtimes: 0-3 ms, ~ 89% in data generation\n    - 97 passing examples, 0 failing examples, 76 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.000540759999999807, "outcome": "passed"}, "call": {"duration": 0.5837995519999986, "outcome": "passed"}, "teardown": {"duration": 0.0003277330000024392, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_linalg.py::test_matrix_norm", "lineno": 313, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "pytestmark", "_hypothesis_internal_use_seed", "test_matrix_norm", "array-api-tests", "test_linalg.py", "ci", "xp_extension", "array_api_tests/__init__.py", "is_hypothesis_test"], "metadata": {"test_module": "array_api_tests.test_linalg", "test_function": "test_matrix_norm", "array_api_function_name": "matrix_norm", "hypothesis_statistics": "array_api_tests/test_linalg.py::test_matrix_norm:\n\n  - during reuse phase (0.00 seconds):\n    - Typical runtimes: ~ 1ms, ~ 64% in data generation\n    - 2 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.40 seconds):\n    - Typical runtimes: 0-7 ms, ~ 69% in data generation\n    - 98 passing examples, 0 failing examples, 10 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0003348080000016296, "outcome": "passed"}, "call": {"duration": 0.4106364239999998, "outcome": "passed"}, "teardown": {"duration": 0.00035238199999909625, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_linalg.py::test_matrix_power", "lineno": 337, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "test_matrix_power", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "pytestmark", "_hypothesis_internal_use_seed", "array-api-tests", "test_linalg.py", "ci", "xp_extension", "array_api_tests/__init__.py", "is_hypothesis_test"], "metadata": {"test_module": "array_api_tests.test_linalg", "test_function": "test_matrix_power", "array_api_function_name": "matrix_power", "hypothesis_statistics": "array_api_tests/test_linalg.py::test_matrix_power:\n\n  - during reuse phase (0.01 seconds):\n    - Typical runtimes: 0-1 ms, ~ 61% in data generation\n    - 4 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (1.37 seconds):\n    - Typical runtimes: 0-20 ms, ~ 83% in data generation\n    - 96 passing examples, 0 failing examples, 91 invalid examples\n    - Events:\n      * 33.16%, Retried draw from <hypothesis.strategies._internal.core.CompositeStrategy object at 0x10d2798e0>.filter(lambda shape: shape[-1] == shape[-2]) to satisfy filter\n      * 23.53%, Aborted test because unable to satisfy <hypothesis.strategies._internal.core.CompositeStrategy object at 0x10d2798e0>.filter(lambda shape: shape[-1] == shape[-2])\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.00042623999999946705, "outcome": "passed"}, "call": {"duration": 1.381128283999999, "outcome": "passed"}, "teardown": {"duration": 0.000404837000001379, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_linalg.py::test_matrix_rank", "lineno": 359, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "test_matrix_rank", "pytestmark", "_hypothesis_internal_use_seed", "array-api-tests", "test_linalg.py", "ci", "xp_extension", "array_api_tests/__init__.py", "is_hypothesis_test"], "metadata": {"test_module": "array_api_tests.test_linalg", "test_function": "test_matrix_rank", "array_api_function_name": "matrix_rank", "hypothesis_statistics": "array_api_tests/test_linalg.py::test_matrix_rank:\n\n  - during reuse phase (0.01 seconds):\n    - Typical runtimes: 1-2 ms, ~ 84% in data generation\n    - 4 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.61 seconds):\n    - Typical runtimes: 0-6 ms, ~ 87% in data generation\n    - 96 passing examples, 0 failing examples, 25 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.00040712299999867696, "outcome": "passed"}, "call": {"duration": 0.6238040369999993, "outcome": "passed"}, "teardown": {"duration": 0.00031433399999869494, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_linalg.py::test_matrix_transpose", "lineno": 367, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "test_linalg.py", "array_api_tests/__init__.py", "is_hypothesis_test", "hypothesis", "test_matrix_transpose", "array-api-tests", "_hypothesis_internal_use_seed", "ci"], "metadata": {"test_module": "array_api_tests.test_linalg", "test_function": "test_matrix_transpose", "array_api_function_name": "matrix_transpose", "hypothesis_statistics": "array_api_tests/test_linalg.py::test_matrix_transpose:\n\n  - during reuse phase (0.01 seconds):\n    - Typical runtimes: 1-2 ms, ~ 51% in data generation\n    - 3 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.53 seconds):\n    - Typical runtimes: 0-4 ms, ~ 70% in data generation\n    - 97 passing examples, 0 failing examples, 32 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0004042899999987526, "outcome": "passed"}, "call": {"duration": 0.5428342609999994, "outcome": "passed"}, "teardown": {"duration": 0.0004705209999968929, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_linalg.py::test_outer", "lineno": 384, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "pytestmark", "_hypothesis_internal_use_seed", "array-api-tests", "test_linalg.py", "ci", "xp_extension", "array_api_tests/__init__.py", "is_hypothesis_test", "test_outer"], "metadata": {"test_module": "array_api_tests.test_linalg", "test_function": "test_outer", "array_api_function_name": "outer", "hypothesis_statistics": "array_api_tests/test_linalg.py::test_outer:\n\n  - during reuse phase (0.01 seconds):\n    - Typical runtimes: ~ 1ms, ~ 76% in data generation\n    - 4 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (1.82 seconds):\n    - Typical runtimes: 0-55 ms, ~ 58% in data generation\n    - 96 passing examples, 0 failing examples, 32 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0003008980000025474, "outcome": "passed"}, "call": {"duration": 1.8252231640000005, "outcome": "passed"}, "teardown": {"duration": 0.0005750550000023225, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_linalg.py::test_pinv", "lineno": 408, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "test_pinv", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "pytestmark", "_hypothesis_internal_use_seed", "array-api-tests", "test_linalg.py", "ci", "xp_extension", "array_api_tests/__init__.py", "is_hypothesis_test"], "metadata": {"test_module": "array_api_tests.test_linalg", "test_function": "test_pinv", "array_api_function_name": "pinv", "hypothesis_statistics": "array_api_tests/test_linalg.py::test_pinv:\n\n  - during reuse phase (0.01 seconds):\n    - Typical runtimes: ~ 1ms, ~ 67% in data generation\n    - 4 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.49 seconds):\n    - Typical runtimes: 0-5 ms, ~ 84% in data generation\n    - 96 passing examples, 0 failing examples, 24 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.00045521999999920126, "outcome": "passed"}, "call": {"duration": 0.501447578999997, "outcome": "passed"}, "teardown": {"duration": 0.0003122139999973683, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_linalg.py::test_qr", "lineno": 416, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "pytestmark", "_hypothesis_internal_use_seed", "array-api-tests", "test_linalg.py", "test_qr", "ci", "xp_extension", "array_api_tests/__init__.py", "is_hypothesis_test"], "metadata": {"test_module": "array_api_tests.test_linalg", "test_function": "test_qr", "array_api_function_name": "qr", "hypothesis_statistics": "array_api_tests/test_linalg.py::test_qr:\n\n  - during reuse phase (0.01 seconds):\n    - Typical runtimes: 1-2 ms, ~ 44% in data generation\n    - 2 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.48 seconds):\n    - Typical runtimes: 0-10 ms, ~ 51% in data generation\n    - 98 passing examples, 0 failing examples, 10 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0003619159999992405, "outcome": "passed"}, "call": {"duration": 0.4922861030000014, "outcome": "passed"}, "teardown": {"duration": 0.000268753000000288, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_linalg.py::test_slogdet", "lineno": 452, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "pytestmark", "_hypothesis_internal_use_seed", "array-api-tests", "test_linalg.py", "ci", "xp_extension", "array_api_tests/__init__.py", "test_slogdet", "is_hypothesis_test"], "metadata": {"test_module": "array_api_tests.test_linalg", "test_function": "test_slogdet", "array_api_function_name": "slogdet", "hypothesis_statistics": "array_api_tests/test_linalg.py::test_slogdet:\n\n  - during reuse phase (0.00 seconds):\n    - Typical runtimes: ~ 1ms, ~ 54% in data generation\n    - 2 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.50 seconds):\n    - Typical runtimes: 0-6 ms, ~ 69% in data generation\n    - 98 passing examples, 0 failing examples, 56 invalid examples\n    - Events:\n      * 49.35%, Retried draw from <hypothesis.strategies._internal.core.CompositeStrategy object at 0x10d2798e0>.filter(lambda shape: shape[-1] == shape[-2]) to satisfy filter\n      * 32.47%, Aborted test because unable to satisfy <hypothesis.strategies._internal.core.CompositeStrategy object at 0x10d2798e0>.filter(lambda shape: shape[-1] == shape[-2])\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0005042560000063645, "outcome": "passed"}, "call": {"duration": 0.5046530919999981, "outcome": "passed"}, "teardown": {"duration": 0.000314412999998126, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_linalg.py::test_solve", "lineno": 512, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "pytestmark", "_hypothesis_internal_use_seed", "array-api-tests", "test_linalg.py", "ci", "xp_extension", "array_api_tests/__init__.py", "test_solve", "is_hypothesis_test"], "metadata": {"test_module": "array_api_tests.test_linalg", "test_function": "test_solve", "array_api_function_name": "solve", "hypothesis_statistics": "array_api_tests/test_linalg.py::test_solve:\n\n  - during reuse phase (0.01 seconds):\n    - Typical runtimes: ~ 1ms, ~ 83% in data generation\n    - 4 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (2.52 seconds):\n    - Typical runtimes: 1-36 ms, ~ 92% in data generation\n    - 96 passing examples, 0 failing examples, 91 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0003746680000062952, "outcome": "passed"}, "call": {"duration": 2.527399303000003, "outcome": "passed"}, "teardown": {"duration": 0.00039790000000294867, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_linalg.py::test_svd", "lineno": 517, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "pytestmark", "test_svd", "_hypothesis_internal_use_seed", "array-api-tests", "test_linalg.py", "ci", "xp_extension", "array_api_tests/__init__.py", "is_hypothesis_test"], "metadata": {"test_module": "array_api_tests.test_linalg", "test_function": "test_svd", "array_api_function_name": "svd", "hypothesis_statistics": "array_api_tests/test_linalg.py::test_svd:\n\n  - during reuse phase (0.01 seconds):\n    - Typical runtimes: 1-3 ms, ~ 49% in data generation\n    - 2 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.52 seconds):\n    - Typical runtimes: 1-9 ms, ~ 49% in data generation\n    - 98 passing examples, 0 failing examples, 6 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0005506329999960258, "outcome": "passed"}, "call": {"duration": 0.5313264649999994, "outcome": "passed"}, "teardown": {"duration": 0.0005091949999993517, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_linalg.py::test_svdvals", "lineno": 553, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "pytestmark", "_hypothesis_internal_use_seed", "array-api-tests", "test_linalg.py", "ci", "xp_extension", "array_api_tests/__init__.py", "test_svdvals", "is_hypothesis_test"], "metadata": {"test_module": "array_api_tests.test_linalg", "test_function": "test_svdvals", "array_api_function_name": "svdvals", "hypothesis_statistics": "array_api_tests/test_linalg.py::test_svdvals:\n\n  - during reuse phase (0.00 seconds):\n    - Typical runtimes: ~ 1ms, ~ 62% in data generation\n    - 2 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.39 seconds):\n    - Typical runtimes: 1-5 ms, ~ 66% in data generation\n    - 98 passing examples, 0 failing examples, 7 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0008179479999981254, "outcome": "passed"}, "call": {"duration": 0.3986921549999991, "outcome": "passed"}, "teardown": {"duration": 0.00036234399999557354, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_linalg.py::test_tensordot", "lineno": 574, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "test_linalg.py", "array_api_tests/__init__.py", "is_hypothesis_test", "test_tensordot", "hypothesis", "array-api-tests", "_hypothesis_internal_use_seed", "ci"], "metadata": {"test_module": "array_api_tests.test_linalg", "test_function": "test_tensordot", "array_api_function_name": "tensordot", "hypothesis_statistics": "array_api_tests/test_linalg.py::test_tensordot:\n\n  - during reuse phase (0.01 seconds):\n    - Typical runtimes: 0-1 ms, ~ 64% in data generation\n    - 4 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.61 seconds):\n    - Typical runtimes: 0-2 ms, ~ 73% in data generation\n    - 96 passing examples, 0 failing examples, 65 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0003571320000048672, "outcome": "passed"}, "call": {"duration": 0.6201299530000028, "outcome": "passed"}, "teardown": {"duration": 0.000298809000000233, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_linalg.py::test_trace", "lineno": 590, "outcome": "failed", "keywords": ["test_trace", "_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "pytestmark", "_hypothesis_internal_use_seed", "array-api-tests", "test_linalg.py", "ci", "xp_extension", "array_api_tests/__init__.py", "is_hypothesis_test"], "metadata": {"test_module": "array_api_tests.test_linalg", "test_function": "test_trace", "array_api_function_name": "trace", "hypothesis_report_information": ["Falsifying example: test_trace(\n    x=Array([[0]], dtype=int8), kw={},\n)"], "hypothesis_statistics": "array_api_tests/test_linalg.py::test_trace:\n\n  - during reuse phase (0.03 seconds):\n    - Typical runtimes: ~ 25ms, ~ 3% in data generation\n    - 0 passing examples, 1 failing examples, 0 invalid examples\n    - Found 1 distinct error in this phase\n\n  - during shrink phase (0.02 seconds):\n    - Typical runtimes: ~ 23ms, ~ 4% in data generation\n    - 0 passing examples, 1 failing examples, 0 invalid examples\n    - Tried 1 shrinks of which 0 were successful\n\n  - Stopped because nothing left to do"}, "setup": {"duration": 0.00035296600000123135, "outcome": "passed"}, "call": {"duration": 0.05577784700000166, "outcome": "failed", "crash": {"path": "/Users/aaronmeurer/Documents/array-api-tests/array_api_tests/array_helpers.py", "lineno": 177, "message": "AssertionError: The input arrays do not have the same dtype (int64 != int8)"}, "traceback": [{"path": "array_api_tests/test_linalg.py", "lineno": 592, "message": ""}, {"path": "array_api_tests/test_linalg.py", "lineno": 628, "message": "in test_trace"}, {"path": "array_api_tests/test_linalg.py", "lineno": 83, "message": "in _test_stacks"}, {"path": "array_api_tests/array_helpers.py", "lineno": 177, "message": "AssertionError"}], "longrepr": ">   ???\n\narray_api_tests/test_linalg.py:592: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _\narray_api_tests/test_linalg.py:628: in test_trace\n    _test_stacks(linalg.trace, x, **kw, res=res, dims=0, true_val=true_trace)\narray_api_tests/test_linalg.py:83: in _test_stacks\n    assert_equal(decomp_res_stack, true_val(*x_stacks))\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _\n\nx = Array(0, dtype=int64), y = Array(0, dtype=int8)\n\n    def assert_exactly_equal(x, y):\n        \"\"\"\n        Test that the arrays x and y are exactly equal.\n    \n        If x and y do not have the same shape and dtype, they are not considered\n        equal.\n    \n        \"\"\"\n        assert x.shape == y.shape, f\"The input arrays do not have the same shapes ({x.shape} != {y.shape})\"\n    \n>       assert x.dtype == y.dtype, f\"The input arrays do not have the same dtype ({x.dtype} != {y.dtype})\"\nE       AssertionError: The input arrays do not have the same dtype (int64 != int8)\n\narray_api_tests/array_helpers.py:177: AssertionError"}, "teardown": {"duration": 0.0004353690000016286, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_linalg.py::test_vecdot", "lineno": 630, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "test_vecdot", "_hypothesis_internal_use_reproduce_failure", "test_linalg.py", "array_api_tests/__init__.py", "is_hypothesis_test", "hypothesis", "array-api-tests", "_hypothesis_internal_use_seed", "ci"], "metadata": {"test_module": "array_api_tests.test_linalg", "test_function": "test_vecdot", "array_api_function_name": "vecdot", "hypothesis_statistics": "array_api_tests/test_linalg.py::test_vecdot:\n\n  - during reuse phase (0.01 seconds):\n    - Typical runtimes: ~ 1ms, ~ 65% in data generation\n    - 3 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.55 seconds):\n    - Typical runtimes: 0-3 ms, ~ 74% in data generation\n    - 97 passing examples, 0 failing examples, 59 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0003563520000042786, "outcome": "passed"}, "call": {"duration": 0.5603389609999994, "outcome": "passed"}, "teardown": {"duration": 0.00032462099999719385, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_linalg.py::test_vector_norm", "lineno": 647, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "pytestmark", "_hypothesis_internal_use_seed", "array-api-tests", "test_linalg.py", "ci", "xp_extension", "array_api_tests/__init__.py", "test_vector_norm", "is_hypothesis_test"], "metadata": {"test_module": "array_api_tests.test_linalg", "test_function": "test_vector_norm", "array_api_function_name": "vector_norm", "hypothesis_statistics": "array_api_tests/test_linalg.py::test_vector_norm:\n\n  - during reuse phase (0.00 seconds):\n    - Typical runtimes: 0-1 ms, ~ 80% in data generation\n    - 3 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.28 seconds):\n    - Typical runtimes: 0-2 ms, ~ 84% in data generation\n    - 97 passing examples, 0 failing examples, 14 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.00029924100000044973, "outcome": "passed"}, "call": {"duration": 0.28917689699999727, "outcome": "passed"}, "teardown": {"duration": 0.0006728939999973704, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_manipulation_functions.py::test_concat", "lineno": 50, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "array_api_tests/__init__.py", "test_manipulation_functions.py", "is_hypothesis_test", "hypothesis", "array-api-tests", "_hypothesis_internal_use_seed", "test_concat", "ci"], "metadata": {"test_module": "array_api_tests.test_manipulation_functions", "test_function": "test_concat", "array_api_function_name": "concat", "hypothesis_statistics": "array_api_tests/test_manipulation_functions.py::test_concat:\n\n  - during reuse phase (0.02 seconds):\n    - Typical runtimes: 2-3 ms, ~ 56% in data generation\n    - 5 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (1.54 seconds):\n    - Typical runtimes: 1-15 ms, ~ 61% in data generation\n    - 95 passing examples, 0 failing examples, 102 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0004136030000054802, "outcome": "passed"}, "call": {"duration": 1.5669843220000033, "outcome": "passed"}, "teardown": {"duration": 0.0003000170000007074, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_manipulation_functions.py::test_expand_dims", "lineno": 123, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "array_api_tests/__init__.py", "test_expand_dims", "test_manipulation_functions.py", "is_hypothesis_test", "hypothesis", "array-api-tests", "_hypothesis_internal_use_seed", "ci"], "metadata": {"test_module": "array_api_tests.test_manipulation_functions", "test_function": "test_expand_dims", "array_api_function_name": "expand_dims", "hypothesis_statistics": "array_api_tests/test_manipulation_functions.py::test_expand_dims:\n\n  - during reuse phase (0.01 seconds):\n    - Typical runtimes: ~ 1ms, ~ 59% in data generation\n    - 3 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.31 seconds):\n    - Typical runtimes: 0-1 ms, ~ 70% in data generation\n    - 97 passing examples, 0 failing examples, 29 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0004488610000024096, "outcome": "passed"}, "call": {"duration": 0.32031319000000025, "outcome": "passed"}, "teardown": {"duration": 0.00039903300000077024, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_manipulation_functions.py::test_squeeze", "lineno": 151, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "test_squeeze", "array_api_tests/__init__.py", "test_manipulation_functions.py", "is_hypothesis_test", "hypothesis", "array-api-tests", "_hypothesis_internal_use_seed", "ci"], "metadata": {"test_module": "array_api_tests.test_manipulation_functions", "test_function": "test_squeeze", "array_api_function_name": "squeeze", "hypothesis_statistics": "array_api_tests/test_manipulation_functions.py::test_squeeze:\n\n  - during reuse phase (0.01 seconds):\n    - Typical runtimes: ~ 1ms, ~ 62% in data generation\n    - 6 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.87 seconds):\n    - Typical runtimes: 0-2 ms, ~ 82% in data generation\n    - 94 passing examples, 0 failing examples, 175 invalid examples\n    - Events:\n      * 48.33%, Retried draw from lists(integers(min_value=1, max_value=6), max_size=2).map(tuple).filter(lambda shape: prod(i for i in shape if i) < MAX_ARRAY_SIZE).filter(lambda s: <unknown>) to satisfy filter\n      * 27.14%, Aborted test because unable to satisfy lists(integers(min_value=1, max_value=6), max_size=2).map(tuple).filter(lambda shape: prod(i for i in shape if i) < MAX_ARRAY_SIZE).filter(lambda s: <unknown>)\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.00030885099999977683, "outcome": "passed"}, "call": {"duration": 0.8886239090000032, "outcome": "passed"}, "teardown": {"duration": 0.00043523800000144774, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_manipulation_functions.py::test_flip", "lineno": 188, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "array_api_tests/__init__.py", "test_manipulation_functions.py", "is_hypothesis_test", "hypothesis", "array-api-tests", "test_flip", "_hypothesis_internal_use_seed", "ci"], "metadata": {"test_module": "array_api_tests.test_manipulation_functions", "test_function": "test_flip", "array_api_function_name": "flip", "hypothesis_statistics": "array_api_tests/test_manipulation_functions.py::test_flip:\n\n  - during reuse phase (0.02 seconds):\n    - Typical runtimes: 0-2 ms, ~ 72% in data generation\n    - 10 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.58 seconds):\n    - Typical runtimes: 0-2 ms, ~ 76% in data generation\n    - 90 passing examples, 0 failing examples, 59 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0003106979999998316, "outcome": "passed"}, "call": {"duration": 0.6023878150000002, "outcome": "passed"}, "teardown": {"duration": 0.00037790300000040133, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_manipulation_functions.py::test_permute_dims", "lineno": 211, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "test_permute_dims", "array_api_tests/__init__.py", "test_manipulation_functions.py", "is_hypothesis_test", "hypothesis", "array-api-tests", "_hypothesis_internal_use_seed", "ci"], "metadata": {"test_module": "array_api_tests.test_manipulation_functions", "test_function": "test_permute_dims", "array_api_function_name": "permute_dims", "hypothesis_statistics": "array_api_tests/test_manipulation_functions.py::test_permute_dims:\n\n  - during reuse phase (0.01 seconds):\n    - Typical runtimes: 0-1 ms, ~ 69% in data generation\n    - 3 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.51 seconds):\n    - Typical runtimes: 0-4 ms, ~ 72% in data generation\n    - 97 passing examples, 0 failing examples, 31 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.00029273700000231884, "outcome": "passed"}, "call": {"duration": 0.520132199999999, "outcome": "passed"}, "teardown": {"duration": 0.0003298600000007923, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_manipulation_functions.py::test_reshape", "lineno": 250, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "array_api_tests/__init__.py", "test_manipulation_functions.py", "is_hypothesis_test", "hypothesis", "test_reshape", "array-api-tests", "_hypothesis_internal_use_seed", "ci"], "metadata": {"test_module": "array_api_tests.test_manipulation_functions", "test_function": "test_reshape", "array_api_function_name": "reshape", "hypothesis_statistics": "array_api_tests/test_manipulation_functions.py::test_reshape:\n\n  - during reuse phase (0.02 seconds):\n    - Typical runtimes: 2-3 ms, ~ 82% in data generation\n    - 4 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (1.64 seconds):\n    - Typical runtimes: 1-12 ms, ~ 92% in data generation\n    - 96 passing examples, 0 failing examples, 177 invalid examples\n    - Events:\n      * 66.30%, Retried draw from ListStrategy(integers(min_value=0), min_size=0, max_size=inf).filter(lambda s: math.prod(s) == size) to satisfy filter\n      * 52.75%, Aborted test because unable to satisfy ListStrategy(integers(min_value=0), min_size=0, max_size=inf).filter(lambda s: math.prod(s) == size)\n      * 4.03%, Retried draw from lists(integers(min_value=0, max_value=156), max_size=2).map(tuple).filter(lambda shape: prod(i for i in shape if i) < MAX_ARRAY_SIZE) to satisfy filter\n      * 0.73%, Aborted test because unable to satisfy lists(integers(min_value=0, max_value=156), max_size=2).map(tuple).filter(lambda shape: prod(i for i in shape if i) < MAX_ARRAY_SIZE)\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0003701070000019513, "outcome": "passed"}, "call": {"duration": 1.6549884890000044, "outcome": "passed"}, "teardown": {"duration": 0.0003748889999997118, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_manipulation_functions.py::test_roll", "lineno": 281, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "test_roll", "array_api_tests/__init__.py", "test_manipulation_functions.py", "is_hypothesis_test", "hypothesis", "array-api-tests", "_hypothesis_internal_use_seed", "ci"], "metadata": {"test_module": "array_api_tests.test_manipulation_functions", "test_function": "test_roll", "array_api_function_name": "roll", "hypothesis_statistics": "array_api_tests/test_manipulation_functions.py::test_roll:\n\n  - during reuse phase (0.02 seconds):\n    - Typical runtimes: 0-3 ms, ~ 63% in data generation\n    - 10 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.37 seconds):\n    - Typical runtimes: 0-3 ms, ~ 68% in data generation\n    - 90 passing examples, 0 failing examples, 37 invalid examples\n    - Events:\n      * 7.87%, Retried draw from lists(integers(min_value=0, max_value=1).map(lambda x: x if x < ndim else x - 2 * ndim), max_size=1, unique_by=lambda x: x % ndim).map(tuple).filter(lambda t: len(t) == len(shift)) to satisfy filter\n      * 1.57%, Retried draw from integers(min_value=0, max_value=3).map(lambda x: x if x < ndim else x - 2 * ndim).filter(not_yet_in_unique_list) to satisfy filter\n      * 1.57%, Retried draw from lists(integers(min_value=0, max_value=3).map(lambda x: x if x < ndim else x - 2 * ndim), max_size=2, unique_by=lambda x: x % ndim).map(tuple).filter(lambda t: len(t) == len(shift)) to satisfy filter\n      * 0.79%, Aborted test because unable to satisfy lists(integers(min_value=0, max_value=1).map(lambda x: x if x < ndim else x - 2 * ndim), max_size=1, unique_by=lambda x: x % ndim).map(tuple).filter(lambda t: len(t) == len(shift))\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.00031300399999878437, "outcome": "passed"}, "call": {"duration": 0.4008109210000015, "outcome": "passed"}, "teardown": {"duration": 0.000545590999998069, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_manipulation_functions.py::test_stack", "lineno": 320, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "array_api_tests/__init__.py", "test_manipulation_functions.py", "is_hypothesis_test", "hypothesis", "array-api-tests", "_hypothesis_internal_use_seed", "test_stack", "ci"], "metadata": {"test_module": "array_api_tests.test_manipulation_functions", "test_function": "test_stack", "array_api_function_name": "stack", "hypothesis_statistics": "array_api_tests/test_manipulation_functions.py::test_stack:\n\n  - during reuse phase (0.02 seconds):\n    - Typical runtimes: 0-4 ms, ~ 58% in data generation\n    - 7 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.93 seconds):\n    - Typical runtimes: 0-16 ms, ~ 69% in data generation\n    - 93 passing examples, 0 failing examples, 40 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0003148370000047862, "outcome": "passed"}, "call": {"duration": 0.9494636249999999, "outcome": "passed", "stdout": "f_idx=':'\nf_idx=':'\nf_idx=':'\nf_idx=':, :, :'\nf_idx=':'\nf_idx=':'\nf_idx=':'\nf_idx=':, :'\nf_idx=':, :, :'\nf_idx=':'\nf_idx=':'\nf_idx=':'\nf_idx=':'\nf_idx=':, :, :'\nf_idx=':, :, :'\nf_idx=':, :, :'\nf_idx='0'\nf_idx='0, :'\nf_idx='1, :'\nf_idx='2, :'\nf_idx='0, :'\nf_idx='1, :'\nf_idx='2, :'\nf_idx='0, :'\nf_idx='1, :'\nf_idx='2, :'\nf_idx='0, :'\nf_idx='1, :'\nf_idx='2, :'\nf_idx='0, :'\nf_idx='1, :'\nf_idx='2, :'\nf_idx=':, :'\nf_idx=':'\nf_idx='0, :'\nf_idx=':, :'\nf_idx=':, :'\nf_idx=':, :, :'\nf_idx=':'\nf_idx='0, :'\nf_idx='1, :'\nf_idx=':, :, :'\nf_idx=':, :'\nf_idx='0, :'\nf_idx='1, :'\nf_idx='2, :'\nf_idx='0, :'\nf_idx='1, :'\nf_idx='2, :'\nf_idx='0, :, :'\nf_idx='1, :, :'\nf_idx='2, :, :'\nf_idx=':'\nf_idx=':'\nf_idx=':, :, :'\nf_idx=':, :, :'\nf_idx=':, :, :'\nf_idx=':, :, :'\nf_idx=':, :, :'\nf_idx=':'\nf_idx=':'\nf_idx=':'\nf_idx=':'\nf_idx=':, :'\nf_idx=':, :'\nf_idx=':'\nf_idx=':'\nf_idx=':, :, :'\nf_idx=':, :, :'\nf_idx=':'\nf_idx=':, :, :'\nf_idx=':, :, :'\nf_idx=':'\nf_idx=':, :, :'\nf_idx=':'\nf_idx=':'\nf_idx=':, :, :'\nf_idx=':'\nf_idx=':'\nf_idx=':'\nf_idx=':'\nf_idx=':'\nf_idx=':'\nf_idx=':'\nf_idx=':'\nf_idx=':'\nf_idx=':'\nf_idx=':'\nf_idx=':'\nf_idx=':'\nf_idx=':'\nf_idx=':, :, :'\nf_idx=':'\nf_idx=':'\nf_idx=':'\nf_idx=':'\nf_idx=':'\nf_idx=':'\nf_idx=':, :'\nf_idx=':, :'\nf_idx=':, :, :'\nf_idx=':, :, :'\nf_idx=':'\nf_idx=':, :, :'\nf_idx=':, :, :'\nf_idx=':'\nf_idx=':, :, :'\nf_idx=':'\nf_idx=':'\nf_idx=':'\nf_idx=':'\n"}, "teardown": {"duration": 0.00039083100000425475, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_operators_and_elementwise_functions.py::test_abs[abs]", "lineno": 524, "outcome": "passed", "keywords": ["test_abs[abs]", "_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "abs", "pytestmark", "_hypothesis_internal_use_seed", "array-api-tests", "test_operators_and_elementwise_functions.py", "ci", "parametrize", "array_api_tests/__init__.py", "is_hypothesis_test"], "metadata": {"test_module": "array_api_tests.test_operators_and_elementwise_functions", "test_function": "test_abs", "array_api_function_name": "abs", "params": {"ctx": {"func_name": "abs", "func": "abs", "strat": "arrays(dtype=numeric_dtypes(), shape=array_shapes(min_dims=0, min_side=0).filter(lambda shape: prod(i for i in shape if i) < MAX_ARRAY_SIZE))"}}, "hypothesis_statistics": "array_api_tests/test_operators_and_elementwise_functions.py::test_abs[abs]:\n\n  - during reuse phase (0.01 seconds):\n    - Typical runtimes: 0-1 ms, ~ 60% in data generation\n    - 4 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.38 seconds):\n    - Typical runtimes: 0-2 ms, ~ 70% in data generation\n    - 96 passing examples, 0 failing examples, 34 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0008454459999995834, "outcome": "passed"}, "call": {"duration": 0.39317627500000185, "outcome": "passed"}, "teardown": {"duration": 0.0004968909999973903, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_operators_and_elementwise_functions.py::test_abs[__abs__]", "lineno": 524, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "__abs__", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "pytestmark", "_hypothesis_internal_use_seed", "array-api-tests", "test_operators_and_elementwise_functions.py", "ci", "test_abs[__abs__]", "parametrize", "array_api_tests/__init__.py", "is_hypothesis_test"], "metadata": {"test_module": "array_api_tests.test_operators_and_elementwise_functions", "test_function": "test_abs", "array_api_function_name": "abs", "params": {"ctx": {"func_name": "__abs__", "func": "<lambda>", "strat": "arrays(dtype=numeric_dtypes(), shape=array_shapes(min_dims=0, min_side=0).filter(lambda shape: prod(i for i in shape if i) < MAX_ARRAY_SIZE))"}}, "hypothesis_statistics": "array_api_tests/test_operators_and_elementwise_functions.py::test_abs[__abs__]:\n\n  - during reuse phase (0.01 seconds):\n    - Typical runtimes: < 1ms, ~ 59% in data generation\n    - 4 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.37 seconds):\n    - Typical runtimes: 0-2 ms, ~ 69% in data generation\n    - 96 passing examples, 0 failing examples, 30 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0005888519999999176, "outcome": "passed"}, "call": {"duration": 0.37995390700000087, "outcome": "passed"}, "teardown": {"duration": 0.00032949399999893103, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_operators_and_elementwise_functions.py::test_acos", "lineno": 548, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "array_api_tests/__init__.py", "is_hypothesis_test", "test_acos", "hypothesis", "array-api-tests", "_hypothesis_internal_use_seed", "test_operators_and_elementwise_functions.py", "ci"], "metadata": {"test_module": "array_api_tests.test_operators_and_elementwise_functions", "test_function": "test_acos", "array_api_function_name": "acos", "hypothesis_statistics": "array_api_tests/test_operators_and_elementwise_functions.py::test_acos:\n\n  - during reuse phase (0.01 seconds):\n    - Typical runtimes: 0-1 ms, ~ 65% in data generation\n    - 3 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.23 seconds):\n    - Typical runtimes: 0-2 ms, ~ 72% in data generation\n    - 97 passing examples, 0 failing examples, 10 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0003630940000007854, "outcome": "passed"}, "call": {"duration": 0.23856239199999862, "outcome": "passed"}, "teardown": {"duration": 0.00030737099999811335, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_operators_and_elementwise_functions.py::test_acosh", "lineno": 558, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "array_api_tests/__init__.py", "is_hypothesis_test", "hypothesis", "array-api-tests", "_hypothesis_internal_use_seed", "test_operators_and_elementwise_functions.py", "test_acosh", "ci"], "metadata": {"test_module": "array_api_tests.test_operators_and_elementwise_functions", "test_function": "test_acosh", "array_api_function_name": "acosh", "hypothesis_statistics": "array_api_tests/test_operators_and_elementwise_functions.py::test_acosh:\n\n  - during reuse phase (0.00 seconds):\n    - Typical runtimes: < 1ms, ~ 66% in data generation\n    - 3 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.21 seconds):\n    - Typical runtimes: 0-1 ms, ~ 71% in data generation\n    - 97 passing examples, 0 failing examples, 10 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0003566570000046454, "outcome": "passed"}, "call": {"duration": 0.2149119689999992, "outcome": "passed"}, "teardown": {"duration": 0.0005127469999948175, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_operators_and_elementwise_functions.py::test_add[add(x1, x2)]", "lineno": 568, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "pytestmark", "_hypothesis_internal_use_seed", "array-api-tests", "test_operators_and_elementwise_functions.py", "ci", "parametrize", "array_api_tests/__init__.py", "add(x1, x2)", "is_hypothesis_test", "test_add[add(x1, x2)]"], "metadata": {"test_module": "array_api_tests.test_operators_and_elementwise_functions", "test_function": "test_add", "array_api_function_name": "add", "params": {"ctx": {"func_name": "add", "func": "add", "left_sym": "x1", "left_strat": "arrays(dtype=shared(oneway_promotable_dtypes([dtype('uint8'),\n dtype('uint16'),\n dtype('uint32'),\n dtype('uint64'),\n dtype('int8'),\n dtype('int16'),\n dtype('int32'),\n dtype('int64'),\n dtype('float32'),\n dtype('float64')])).map(lambda D: D.result_dtype), shape=shared(mutually_broadcastable_shapes(2, max_dims=5, max_side=6).map(lambda BS: <unknown>).filter(lambda shapes: <unknown>)).map(lambda pair: pair[0]))", "right_sym": "x2", "right_strat": "arrays(dtype=shared(oneway_promotable_dtypes([dtype('uint8'),\n dtype('uint16'),\n dtype('uint32'),\n dtype('uint64'),\n dtype('int8'),\n dtype('int16'),\n dtype('int32'),\n dtype('int64'),\n dtype('float32'),\n dtype('float64')])).map(lambda D: D.input_dtype), shape=shared(mutually_broadcastable_shapes(2, max_dims=5, max_side=6).map(lambda BS: <unknown>).filter(lambda shapes: <unknown>)).map(lambda pair: pair[1]))", "right_is_scalar": false, "res_name": "out"}}, "hypothesis_statistics": "array_api_tests/test_operators_and_elementwise_functions.py::test_add[add(x1, x2)]:\n\n  - during reuse phase (0.04 seconds):\n    - Typical runtimes: 2-3 ms, ~ 79% in data generation\n    - 9 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.90 seconds):\n    - Typical runtimes: 1-7 ms, ~ 79% in data generation\n    - 91 passing examples, 0 failing examples, 83 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.00409582600000391, "outcome": "passed"}, "call": {"duration": 0.9352609230000013, "outcome": "passed"}, "teardown": {"duration": 0.0003752809999966189, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_operators_and_elementwise_functions.py::test_add[__add__(x1, x2)]", "lineno": 568, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "__add__(x1, x2)", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "pytestmark", "_hypothesis_internal_use_seed", "array-api-tests", "test_operators_and_elementwise_functions.py", "ci", "test_add[__add__(x1, x2)]", "parametrize", "array_api_tests/__init__.py", "is_hypothesis_test"], "metadata": {"test_module": "array_api_tests.test_operators_and_elementwise_functions", "test_function": "test_add", "array_api_function_name": "add", "params": {"ctx": {"func_name": "__add__", "func": "__add__", "left_sym": "x1", "left_strat": "arrays(dtype=shared(oneway_promotable_dtypes([dtype('uint8'),\n dtype('uint16'),\n dtype('uint32'),\n dtype('uint64'),\n dtype('int8'),\n dtype('int16'),\n dtype('int32'),\n dtype('int64'),\n dtype('float32'),\n dtype('float64')])).map(lambda D: D.result_dtype), shape=shared(mutually_broadcastable_shapes(2, max_dims=5, max_side=6).map(lambda BS: <unknown>).filter(lambda shapes: <unknown>)).map(lambda pair: pair[0]))", "right_sym": "x2", "right_strat": "arrays(dtype=shared(oneway_promotable_dtypes([dtype('uint8'),\n dtype('uint16'),\n dtype('uint32'),\n dtype('uint64'),\n dtype('int8'),\n dtype('int16'),\n dtype('int32'),\n dtype('int64'),\n dtype('float32'),\n dtype('float64')])).map(lambda D: D.input_dtype), shape=shared(mutually_broadcastable_shapes(2, max_dims=5, max_side=6).map(lambda BS: <unknown>).filter(lambda shapes: <unknown>)).map(lambda pair: pair[1]))", "right_is_scalar": false, "res_name": "out"}}, "hypothesis_statistics": "array_api_tests/test_operators_and_elementwise_functions.py::test_add[__add__(x1, x2)]:\n\n  - during reuse phase (0.03 seconds):\n    - Typical runtimes: ~ 2ms, ~ 82% in data generation\n    - 7 passing examples, 0 failing examples, 3 invalid examples\n\n  - during generate phase (1.10 seconds):\n    - Typical runtimes: 1-24 ms, ~ 74% in data generation\n    - 93 passing examples, 0 failing examples, 82 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0032354120000022135, "outcome": "passed"}, "call": {"duration": 1.1372989080000053, "outcome": "passed"}, "teardown": {"duration": 0.00041262099999528346, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_operators_and_elementwise_functions.py::test_add[__add__(x, s)]", "lineno": 568, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "pytestmark", "_hypothesis_internal_use_seed", "array-api-tests", "test_operators_and_elementwise_functions.py", "ci", "parametrize", "array_api_tests/__init__.py", "test_add[__add__(x, s)]", "is_hypothesis_test", "__add__(x, s)"], "metadata": {"test_module": "array_api_tests.test_operators_and_elementwise_functions", "test_function": "test_add", "array_api_function_name": "add", "params": {"ctx": {"func_name": "__add__", "func": "__add__", "left_sym": "x", "left_strat": "arrays(dtype=shared(oneway_promotable_dtypes([dtype('uint8'),\n dtype('uint16'),\n dtype('uint32'),\n dtype('uint64'),\n dtype('int8'),\n dtype('int16'),\n dtype('int32'),\n dtype('int64'),\n dtype('float32'),\n dtype('float64')])).map(lambda D: D.result_dtype), shape=array_shapes(min_dims=0).filter(lambda shape: prod(i for i in shape if i) < MAX_ARRAY_SIZE))", "right_sym": "s", "right_strat": "shared(oneway_promotable_dtypes([dtype('uint8'),\n dtype('uint16'),\n dtype('uint32'),\n dtype('uint64'),\n dtype('int8'),\n dtype('int16'),\n dtype('int32'),\n dtype('int64'),\n dtype('float32'),\n dtype('float64')])).map(lambda D: D.input_dtype).flatmap(lambda d: xps.from_dtype(d, **finite_kw))", "right_is_scalar": true, "res_name": "out"}}, "hypothesis_statistics": "array_api_tests/test_operators_and_elementwise_functions.py::test_add[__add__(x, s)]:\n\n  - during reuse phase (0.01 seconds):\n    - Typical runtimes: ~ 1ms, ~ 77% in data generation\n    - 4 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.65 seconds):\n    - Typical runtimes: 1-2 ms, ~ 84% in data generation\n    - 96 passing examples, 0 failing examples, 67 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0012641610000017067, "outcome": "passed"}, "call": {"duration": 0.6658183409999978, "outcome": "passed"}, "teardown": {"duration": 0.00039801999999866666, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_operators_and_elementwise_functions.py::test_add[__iadd__(x1, x2)]", "lineno": 568, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "pytestmark", "_hypothesis_internal_use_seed", "array-api-tests", "test_operators_and_elementwise_functions.py", "ci", "parametrize", "array_api_tests/__init__.py", "test_add[__iadd__(x1, x2)]", "is_hypothesis_test", "__iadd__(x1, x2)"], "metadata": {"test_module": "array_api_tests.test_operators_and_elementwise_functions", "test_function": "test_add", "array_api_function_name": "add", "params": {"ctx": {"func_name": "__iadd__", "func": "__iadd__", "left_sym": "x1", "left_strat": "arrays(dtype=shared(oneway_promotable_dtypes([dtype('uint8'),\n dtype('uint16'),\n dtype('uint32'),\n dtype('uint64'),\n dtype('int8'),\n dtype('int16'),\n dtype('int32'),\n dtype('int64'),\n dtype('float32'),\n dtype('float64')])).map(lambda D: D.result_dtype), shape=shared(oneway_broadcastable_shapes()).map(lambda S: S.result_shape))", "right_sym": "x2", "right_strat": "arrays(dtype=shared(oneway_promotable_dtypes([dtype('uint8'),\n dtype('uint16'),\n dtype('uint32'),\n dtype('uint64'),\n dtype('int8'),\n dtype('int16'),\n dtype('int32'),\n dtype('int64'),\n dtype('float32'),\n dtype('float64')])).map(lambda D: D.input_dtype), shape=shared(oneway_broadcastable_shapes()).map(lambda S: S.input_shape))", "right_is_scalar": false, "res_name": "x1"}}, "hypothesis_statistics": "array_api_tests/test_operators_and_elementwise_functions.py::test_add[__iadd__(x1, x2)]:\n\n  - during reuse phase (0.02 seconds):\n    - Typical runtimes: ~ 3ms, ~ 85% in data generation\n    - 4 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (1.19 seconds):\n    - Typical runtimes: 2-4 ms, ~ 89% in data generation\n    - 96 passing examples, 0 failing examples, 87 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0021547850000018798, "outcome": "passed"}, "call": {"duration": 1.2083881570000017, "outcome": "passed"}, "teardown": {"duration": 0.00033645500000289985, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_operators_and_elementwise_functions.py::test_add[__iadd__(x, s)]", "lineno": 568, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "__iadd__(x, s)", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "pytestmark", "_hypothesis_internal_use_seed", "array-api-tests", "test_operators_and_elementwise_functions.py", "ci", "test_add[__iadd__(x, s)]", "parametrize", "array_api_tests/__init__.py", "is_hypothesis_test"], "metadata": {"test_module": "array_api_tests.test_operators_and_elementwise_functions", "test_function": "test_add", "array_api_function_name": "add", "params": {"ctx": {"func_name": "__iadd__", "func": "__iadd__", "left_sym": "x", "left_strat": "arrays(dtype=shared(oneway_promotable_dtypes([dtype('uint8'),\n dtype('uint16'),\n dtype('uint32'),\n dtype('uint64'),\n dtype('int8'),\n dtype('int16'),\n dtype('int32'),\n dtype('int64'),\n dtype('float32'),\n dtype('float64')])).map(lambda D: D.result_dtype), shape=array_shapes(min_dims=0).filter(lambda shape: prod(i for i in shape if i) < MAX_ARRAY_SIZE))", "right_sym": "s", "right_strat": "shared(oneway_promotable_dtypes([dtype('uint8'),\n dtype('uint16'),\n dtype('uint32'),\n dtype('uint64'),\n dtype('int8'),\n dtype('int16'),\n dtype('int32'),\n dtype('int64'),\n dtype('float32'),\n dtype('float64')])).map(lambda D: D.input_dtype).flatmap(lambda d: xps.from_dtype(d, **finite_kw))", "right_is_scalar": true, "res_name": "x"}}, "hypothesis_statistics": "array_api_tests/test_operators_and_elementwise_functions.py::test_add[__iadd__(x, s)]:\n\n  - during reuse phase (0.01 seconds):\n    - Typical runtimes: 1-3 ms, ~ 78% in data generation\n    - 4 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.77 seconds):\n    - Typical runtimes: 1-3 ms, ~ 83% in data generation\n    - 96 passing examples, 0 failing examples, 64 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0010710160000044766, "outcome": "passed"}, "call": {"duration": 0.7841961670000046, "outcome": "passed"}, "teardown": {"duration": 0.00039257200000264447, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_operators_and_elementwise_functions.py::test_asin", "lineno": 584, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "array_api_tests/__init__.py", "is_hypothesis_test", "hypothesis", "array-api-tests", "_hypothesis_internal_use_seed", "test_operators_and_elementwise_functions.py", "ci", "test_asin"], "metadata": {"test_module": "array_api_tests.test_operators_and_elementwise_functions", "test_function": "test_asin", "array_api_function_name": "asin", "hypothesis_statistics": "array_api_tests/test_operators_and_elementwise_functions.py::test_asin:\n\n  - during reuse phase (0.00 seconds):\n    - Typical runtimes: < 1ms, ~ 67% in data generation\n    - 3 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.24 seconds):\n    - Typical runtimes: 0-2 ms, ~ 72% in data generation\n    - 97 passing examples, 0 failing examples, 11 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.00029805899999502117, "outcome": "passed"}, "call": {"duration": 0.24266707900000029, "outcome": "passed"}, "teardown": {"duration": 0.0005507919999985234, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_operators_and_elementwise_functions.py::test_asinh", "lineno": 594, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "array_api_tests/__init__.py", "is_hypothesis_test", "test_asinh", "hypothesis", "array-api-tests", "_hypothesis_internal_use_seed", "test_operators_and_elementwise_functions.py", "ci"], "metadata": {"test_module": "array_api_tests.test_operators_and_elementwise_functions", "test_function": "test_asinh", "array_api_function_name": "asinh", "hypothesis_statistics": "array_api_tests/test_operators_and_elementwise_functions.py::test_asinh:\n\n  - during reuse phase (0.01 seconds):\n    - Typical runtimes: < 1ms, ~ 62% in data generation\n    - 3 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.23 seconds):\n    - Typical runtimes: 0-2 ms, ~ 71% in data generation\n    - 97 passing examples, 0 failing examples, 11 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0004898489999973776, "outcome": "passed"}, "call": {"duration": 0.23545460300000087, "outcome": "passed"}, "teardown": {"duration": 0.0003372220000059656, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_operators_and_elementwise_functions.py::test_atan", "lineno": 602, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "array_api_tests/__init__.py", "test_atan", "is_hypothesis_test", "hypothesis", "array-api-tests", "_hypothesis_internal_use_seed", "test_operators_and_elementwise_functions.py", "ci"], "metadata": {"test_module": "array_api_tests.test_operators_and_elementwise_functions", "test_function": "test_atan", "array_api_function_name": "atan", "hypothesis_statistics": "array_api_tests/test_operators_and_elementwise_functions.py::test_atan:\n\n  - during reuse phase (0.00 seconds):\n    - Typical runtimes: < 1ms, ~ 69% in data generation\n    - 3 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.23 seconds):\n    - Typical runtimes: 0-2 ms, ~ 71% in data generation\n    - 97 passing examples, 0 failing examples, 10 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.00029135900000198944, "outcome": "passed"}, "call": {"duration": 0.2353482540000016, "outcome": "passed"}, "teardown": {"duration": 0.0003423839999996403, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_operators_and_elementwise_functions.py::test_atan2", "lineno": 610, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "array_api_tests/__init__.py", "is_hypothesis_test", "hypothesis", "array-api-tests", "_hypothesis_internal_use_seed", "test_operators_and_elementwise_functions.py", "ci", "test_atan2"], "metadata": {"test_module": "array_api_tests.test_operators_and_elementwise_functions", "test_function": "test_atan2", "array_api_function_name": "atan2", "hypothesis_statistics": "array_api_tests/test_operators_and_elementwise_functions.py::test_atan2:\n\n  - during reuse phase (0.00 seconds):\n    - Typical runtimes: ~ 1ms, ~ 85% in data generation\n    - 2 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.49 seconds):\n    - Typical runtimes: 0-8 ms, ~ 82% in data generation\n    - 98 passing examples, 0 failing examples, 45 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.00029493699999960654, "outcome": "passed"}, "call": {"duration": 0.49214838900000046, "outcome": "passed"}, "teardown": {"duration": 0.00034359500000391563, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_operators_and_elementwise_functions.py::test_atanh", "lineno": 618, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "array_api_tests/__init__.py", "is_hypothesis_test", "test_atanh", "hypothesis", "array-api-tests", "_hypothesis_internal_use_seed", "test_operators_and_elementwise_functions.py", "ci"], "metadata": {"test_module": "array_api_tests.test_operators_and_elementwise_functions", "test_function": "test_atanh", "array_api_function_name": "atanh", "hypothesis_statistics": "array_api_tests/test_operators_and_elementwise_functions.py::test_atanh:\n\n  - during reuse phase (0.00 seconds):\n    - Typical runtimes: < 1ms, ~ 67% in data generation\n    - 3 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.21 seconds):\n    - Typical runtimes: 0-1 ms, ~ 72% in data generation\n    - 97 passing examples, 0 failing examples, 10 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0005691440000035186, "outcome": "passed"}, "call": {"duration": 0.2145332179999997, "outcome": "passed"}, "teardown": {"duration": 0.0004035419999937062, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_operators_and_elementwise_functions.py::test_bitwise_and[bitwise_and(x1, x2)]", "lineno": 632, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "pytestmark", "_hypothesis_internal_use_seed", "array-api-tests", "test_bitwise_and[bitwise_and(x1, x2)]", "test_operators_and_elementwise_functions.py", "ci", "parametrize", "array_api_tests/__init__.py", "is_hypothesis_test", "bitwise_and(x1, x2)"], "metadata": {"test_module": "array_api_tests.test_operators_and_elementwise_functions", "test_function": "test_bitwise_and", "array_api_function_name": "bitwise_and", "params": {"ctx": {"func_name": "bitwise_and", "func": "bitwise_and", "left_sym": "x1", "left_strat": "arrays(dtype=shared(oneway_promotable_dtypes([dtype('bool'),\n dtype('uint8'),\n dtype('uint16'),\n dtype('uint32'),\n dtype('uint64'),\n dtype('int8'),\n dtype('int16'),\n dtype('int32'),\n dtype('int64')])).map(lambda D: D.result_dtype), shape=shared(mutually_broadcastable_shapes(2, max_dims=5, max_side=6).map(lambda BS: <unknown>).filter(lambda shapes: <unknown>)).map(lambda pair: pair[0]))", "right_sym": "x2", "right_strat": "arrays(dtype=shared(oneway_promotable_dtypes([dtype('bool'),\n dtype('uint8'),\n dtype('uint16'),\n dtype('uint32'),\n dtype('uint64'),\n dtype('int8'),\n dtype('int16'),\n dtype('int32'),\n dtype('int64')])).map(lambda D: D.input_dtype), shape=shared(mutually_broadcastable_shapes(2, max_dims=5, max_side=6).map(lambda BS: <unknown>).filter(lambda shapes: <unknown>)).map(lambda pair: pair[1]))", "right_is_scalar": false, "res_name": "out"}}, "hypothesis_statistics": "array_api_tests/test_operators_and_elementwise_functions.py::test_bitwise_and[bitwise_and(x1, x2)]:\n\n  - during reuse phase (0.03 seconds):\n    - Typical runtimes: ~ 2ms, ~ 79% in data generation\n    - 10 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.56 seconds):\n    - Typical runtimes: 1-5 ms, ~ 81% in data generation\n    - 90 passing examples, 0 failing examples, 47 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.00448631700000135, "outcome": "passed"}, "call": {"duration": 0.5961782069999941, "outcome": "passed"}, "teardown": {"duration": 0.0004700269999986517, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_operators_and_elementwise_functions.py::test_bitwise_and[__and__(x1, x2)]", "lineno": 632, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "pytestmark", "_hypothesis_internal_use_seed", "array-api-tests", "test_operators_and_elementwise_functions.py", "ci", "test_bitwise_and[__and__(x1, x2)]", "__and__(x1, x2)", "parametrize", "array_api_tests/__init__.py", "is_hypothesis_test"], "metadata": {"test_module": "array_api_tests.test_operators_and_elementwise_functions", "test_function": "test_bitwise_and", "array_api_function_name": "bitwise_and", "params": {"ctx": {"func_name": "__and__", "func": "__and__", "left_sym": "x1", "left_strat": "arrays(dtype=shared(oneway_promotable_dtypes([dtype('bool'),\n dtype('uint8'),\n dtype('uint16'),\n dtype('uint32'),\n dtype('uint64'),\n dtype('int8'),\n dtype('int16'),\n dtype('int32'),\n dtype('int64')])).map(lambda D: D.result_dtype), shape=shared(mutually_broadcastable_shapes(2, max_dims=5, max_side=6).map(lambda BS: <unknown>).filter(lambda shapes: <unknown>)).map(lambda pair: pair[0]))", "right_sym": "x2", "right_strat": "arrays(dtype=shared(oneway_promotable_dtypes([dtype('bool'),\n dtype('uint8'),\n dtype('uint16'),\n dtype('uint32'),\n dtype('uint64'),\n dtype('int8'),\n dtype('int16'),\n dtype('int32'),\n dtype('int64')])).map(lambda D: D.input_dtype), shape=shared(mutually_broadcastable_shapes(2, max_dims=5, max_side=6).map(lambda BS: <unknown>).filter(lambda shapes: <unknown>)).map(lambda pair: pair[1]))", "right_is_scalar": false, "res_name": "out"}}, "hypothesis_statistics": "array_api_tests/test_operators_and_elementwise_functions.py::test_bitwise_and[__and__(x1, x2)]:\n\n  - during reuse phase (0.07 seconds):\n    - Typical runtimes: 2-5 ms, ~ 60% in data generation\n    - 10 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (1.06 seconds):\n    - Typical runtimes: 1-17 ms, ~ 73% in data generation\n    - 90 passing examples, 0 failing examples, 46 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0030456649999948127, "outcome": "passed"}, "call": {"duration": 1.1309706369999972, "outcome": "passed"}, "teardown": {"duration": 0.0003233130000026563, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_operators_and_elementwise_functions.py::test_bitwise_and[__and__(x, s)]", "lineno": 632, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "test_bitwise_and[__and__(x, s)]", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "pytestmark", "_hypothesis_internal_use_seed", "array-api-tests", "__and__(x, s)", "test_operators_and_elementwise_functions.py", "ci", "parametrize", "array_api_tests/__init__.py", "is_hypothesis_test"], "metadata": {"test_module": "array_api_tests.test_operators_and_elementwise_functions", "test_function": "test_bitwise_and", "array_api_function_name": "bitwise_and", "params": {"ctx": {"func_name": "__and__", "func": "__and__", "left_sym": "x", "left_strat": "arrays(dtype=shared(oneway_promotable_dtypes([dtype('bool'),\n dtype('uint8'),\n dtype('uint16'),\n dtype('uint32'),\n dtype('uint64'),\n dtype('int8'),\n dtype('int16'),\n dtype('int32'),\n dtype('int64')])).map(lambda D: D.result_dtype), shape=array_shapes(min_dims=0).filter(lambda shape: prod(i for i in shape if i) < MAX_ARRAY_SIZE))", "right_sym": "s", "right_strat": "shared(oneway_promotable_dtypes([dtype('bool'),\n dtype('uint8'),\n dtype('uint16'),\n dtype('uint32'),\n dtype('uint64'),\n dtype('int8'),\n dtype('int16'),\n dtype('int32'),\n dtype('int64')])).map(lambda D: D.input_dtype).flatmap(lambda d: xps.from_dtype(d, **finite_kw))", "right_is_scalar": true, "res_name": "out"}}, "hypothesis_statistics": "array_api_tests/test_operators_and_elementwise_functions.py::test_bitwise_and[__and__(x, s)]:\n\n  - during reuse phase (0.01 seconds):\n    - Typical runtimes: ~ 1ms, ~ 80% in data generation\n    - 3 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.35 seconds):\n    - Typical runtimes: 1-2 ms, ~ 83% in data generation\n    - 97 passing examples, 0 failing examples, 24 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0011405039999985433, "outcome": "passed"}, "call": {"duration": 0.35945540600000214, "outcome": "passed"}, "teardown": {"duration": 0.0005617320000013137, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_operators_and_elementwise_functions.py::test_bitwise_and[__iand__(x1, x2)]", "lineno": 632, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "test_bitwise_and[__iand__(x1, x2)]", "pytestmark", "_hypothesis_internal_use_seed", "array-api-tests", "test_operators_and_elementwise_functions.py", "ci", "parametrize", "array_api_tests/__init__.py", "__iand__(x1, x2)", "is_hypothesis_test"], "metadata": {"test_module": "array_api_tests.test_operators_and_elementwise_functions", "test_function": "test_bitwise_and", "array_api_function_name": "bitwise_and", "params": {"ctx": {"func_name": "__iand__", "func": "__iand__", "left_sym": "x1", "left_strat": "arrays(dtype=shared(oneway_promotable_dtypes([dtype('bool'),\n dtype('uint8'),\n dtype('uint16'),\n dtype('uint32'),\n dtype('uint64'),\n dtype('int8'),\n dtype('int16'),\n dtype('int32'),\n dtype('int64')])).map(lambda D: D.result_dtype), shape=shared(oneway_broadcastable_shapes()).map(lambda S: S.result_shape))", "right_sym": "x2", "right_strat": "arrays(dtype=shared(oneway_promotable_dtypes([dtype('bool'),\n dtype('uint8'),\n dtype('uint16'),\n dtype('uint32'),\n dtype('uint64'),\n dtype('int8'),\n dtype('int16'),\n dtype('int32'),\n dtype('int64')])).map(lambda D: D.input_dtype), shape=shared(oneway_broadcastable_shapes()).map(lambda S: S.input_shape))", "right_is_scalar": false, "res_name": "x1"}}, "hypothesis_statistics": "array_api_tests/test_operators_and_elementwise_functions.py::test_bitwise_and[__iand__(x1, x2)]:\n\n  - during reuse phase (0.01 seconds):\n    - Typical runtimes: ~ 3ms, ~ 85% in data generation\n    - 3 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.68 seconds):\n    - Typical runtimes: 2-5 ms, ~ 86% in data generation\n    - 97 passing examples, 0 failing examples, 29 invalid examples\n    - Events:\n      * 0.79%, Retried draw from <hypothesis.extra._array_helpers.MutuallyBroadcastableShapesStrategy object at 0x10cbf3d00>.map(lambda x: <unknown>).filter(lambda s: <unknown>) to satisfy filter\n      * 0.79%, Retried draw from <hypothesis.extra._array_helpers.MutuallyBroadcastableShapesStrategy object at 0x10cc5be20>.map(lambda x: <unknown>).filter(lambda s: <unknown>) to satisfy filter\n      * 0.79%, Retried draw from <hypothesis.extra._array_helpers.MutuallyBroadcastableShapesStrategy object at 0x10cd88340>.map(lambda x: <unknown>).filter(lambda s: <unknown>) to satisfy filter\n      * 0.79%, Retried draw from <hypothesis.extra._array_helpers.MutuallyBroadcastableShapesStrategy object at 0x10cd96eb0>.map(lambda x: <unknown>).filter(lambda s: <unknown>) to satisfy filter\n      * 0.79%, Retried draw from <hypothesis.extra._array_helpers.MutuallyBroadcastableShapesStrategy object at 0x10d0f51f0>.map(lambda x: <unknown>).filter(lambda s: <unknown>) to satisfy filter\n      * 0.79%, Retried draw from <hypothesis.extra._array_helpers.MutuallyBroadcastableShapesStrategy object at 0x10d0f5e20>.map(lambda x: <unknown>).filter(lambda s: <unknown>) to satisfy filter\n      * 0.79%, Retried draw from <hypothesis.extra._array_helpers.MutuallyBroadcastableShapesStrategy object at 0x10d2e84f0>.map(lambda x: <unknown>).filter(lambda s: <unknown>) to satisfy filter\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.001753430000000833, "outcome": "passed"}, "call": {"duration": 0.6972615629999979, "outcome": "passed"}, "teardown": {"duration": 0.00040891500000128644, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_operators_and_elementwise_functions.py::test_bitwise_and[__iand__(x, s)]", "lineno": 632, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "pytestmark", "_hypothesis_internal_use_seed", "array-api-tests", "test_operators_and_elementwise_functions.py", "__iand__(x, s)", "ci", "parametrize", "array_api_tests/__init__.py", "test_bitwise_and[__iand__(x, s)]", "is_hypothesis_test"], "metadata": {"test_module": "array_api_tests.test_operators_and_elementwise_functions", "test_function": "test_bitwise_and", "array_api_function_name": "bitwise_and", "params": {"ctx": {"func_name": "__iand__", "func": "__iand__", "left_sym": "x", "left_strat": "arrays(dtype=shared(oneway_promotable_dtypes([dtype('bool'),\n dtype('uint8'),\n dtype('uint16'),\n dtype('uint32'),\n dtype('uint64'),\n dtype('int8'),\n dtype('int16'),\n dtype('int32'),\n dtype('int64')])).map(lambda D: D.result_dtype), shape=array_shapes(min_dims=0).filter(lambda shape: prod(i for i in shape if i) < MAX_ARRAY_SIZE))", "right_sym": "s", "right_strat": "shared(oneway_promotable_dtypes([dtype('bool'),\n dtype('uint8'),\n dtype('uint16'),\n dtype('uint32'),\n dtype('uint64'),\n dtype('int8'),\n dtype('int16'),\n dtype('int32'),\n dtype('int64')])).map(lambda D: D.input_dtype).flatmap(lambda d: xps.from_dtype(d, **finite_kw))", "right_is_scalar": true, "res_name": "x"}}, "hypothesis_statistics": "array_api_tests/test_operators_and_elementwise_functions.py::test_bitwise_and[__iand__(x, s)]:\n\n  - during reuse phase (0.01 seconds):\n    - Typical runtimes: ~ 1ms, ~ 80% in data generation\n    - 3 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.34 seconds):\n    - Typical runtimes: 0-2 ms, ~ 83% in data generation\n    - 97 passing examples, 0 failing examples, 23 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.00118985399999616, "outcome": "passed"}, "call": {"duration": 0.3507098890000009, "outcome": "passed"}, "teardown": {"duration": 0.0003354330000036043, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_operators_and_elementwise_functions.py::test_bitwise_left_shift[bitwise_left_shift(x1, x2)]", "lineno": 651, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "bitwise_left_shift(x1, x2)", "pytestmark", "_hypothesis_internal_use_seed", "array-api-tests", "test_operators_and_elementwise_functions.py", "ci", "parametrize", "array_api_tests/__init__.py", "is_hypothesis_test", "test_bitwise_left_shift[bitwise_left_shift(x1, x2)]"], "metadata": {"test_module": "array_api_tests.test_operators_and_elementwise_functions", "test_function": "test_bitwise_left_shift", "array_api_function_name": "bitwise_left_shift", "params": {"ctx": {"func_name": "bitwise_left_shift", "func": "bitwise_left_shift", "left_sym": "x1", "left_strat": "arrays(dtype=shared(oneway_promotable_dtypes([dtype('uint8'),\n dtype('uint16'),\n dtype('uint32'),\n dtype('uint64'),\n dtype('int8'),\n dtype('int16'),\n dtype('int32'),\n dtype('int64')])).map(lambda D: D.result_dtype), shape=shared(mutually_broadcastable_shapes(2, max_dims=5, max_side=6).map(lambda BS: <unknown>).filter(lambda shapes: <unknown>)).map(lambda pair: pair[0]))", "right_sym": "x2", "right_strat": "arrays(dtype=shared(oneway_promotable_dtypes([dtype('uint8'),\n dtype('uint16'),\n dtype('uint32'),\n dtype('uint64'),\n dtype('int8'),\n dtype('int16'),\n dtype('int32'),\n dtype('int64')])).map(lambda D: D.input_dtype), shape=shared(mutually_broadcastable_shapes(2, max_dims=5, max_side=6).map(lambda BS: <unknown>).filter(lambda shapes: <unknown>)).map(lambda pair: pair[1]))", "right_is_scalar": false, "res_name": "out"}}, "hypothesis_statistics": "array_api_tests/test_operators_and_elementwise_functions.py::test_bitwise_left_shift[bitwise_left_shift(x1, x2)]:\n\n  - during reuse phase (0.01 seconds):\n    - Typical runtimes: ~ 2ms, ~ 71% in data generation\n    - 2 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.79 seconds):\n    - Typical runtimes: 1-10 ms, ~ 77% in data generation\n    - 98 passing examples, 0 failing examples, 60 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0036476039999939758, "outcome": "passed"}, "call": {"duration": 0.8030647490000007, "outcome": "passed"}, "teardown": {"duration": 0.0004462830000022677, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_operators_and_elementwise_functions.py::test_bitwise_left_shift[__lshift__(x1, x2)]", "lineno": 651, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "pytestmark", "_hypothesis_internal_use_seed", "array-api-tests", "test_operators_and_elementwise_functions.py", "__lshift__(x1, x2)", "ci", "parametrize", "array_api_tests/__init__.py", "test_bitwise_left_shift[__lshift__(x1, x2)]", "is_hypothesis_test"], "metadata": {"test_module": "array_api_tests.test_operators_and_elementwise_functions", "test_function": "test_bitwise_left_shift", "array_api_function_name": "bitwise_left_shift", "params": {"ctx": {"func_name": "__lshift__", "func": "__lshift__", "left_sym": "x1", "left_strat": "arrays(dtype=shared(oneway_promotable_dtypes([dtype('uint8'),\n dtype('uint16'),\n dtype('uint32'),\n dtype('uint64'),\n dtype('int8'),\n dtype('int16'),\n dtype('int32'),\n dtype('int64')])).map(lambda D: D.result_dtype), shape=shared(mutually_broadcastable_shapes(2, max_dims=5, max_side=6).map(lambda BS: <unknown>).filter(lambda shapes: <unknown>)).map(lambda pair: pair[0]))", "right_sym": "x2", "right_strat": "arrays(dtype=shared(oneway_promotable_dtypes([dtype('uint8'),\n dtype('uint16'),\n dtype('uint32'),\n dtype('uint64'),\n dtype('int8'),\n dtype('int16'),\n dtype('int32'),\n dtype('int64')])).map(lambda D: D.input_dtype), shape=shared(mutually_broadcastable_shapes(2, max_dims=5, max_side=6).map(lambda BS: <unknown>).filter(lambda shapes: <unknown>)).map(lambda pair: pair[1]))", "right_is_scalar": false, "res_name": "out"}}, "hypothesis_statistics": "array_api_tests/test_operators_and_elementwise_functions.py::test_bitwise_left_shift[__lshift__(x1, x2)]:\n\n  - during reuse phase (0.03 seconds):\n    - Typical runtimes: ~ 2ms, ~ 75% in data generation\n    - 10 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.88 seconds):\n    - Typical runtimes: 1-12 ms, ~ 76% in data generation\n    - 90 passing examples, 0 failing examples, 59 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0028365849999971715, "outcome": "passed"}, "call": {"duration": 0.9162198420000038, "outcome": "passed"}, "teardown": {"duration": 0.00035119899999358495, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_operators_and_elementwise_functions.py::test_bitwise_left_shift[__lshift__(x, s)]", "lineno": 651, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "__lshift__(x, s)", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "pytestmark", "_hypothesis_internal_use_seed", "array-api-tests", "test_operators_and_elementwise_functions.py", "ci", "parametrize", "array_api_tests/__init__.py", "is_hypothesis_test", "test_bitwise_left_shift[__lshift__(x, s)]"], "metadata": {"test_module": "array_api_tests.test_operators_and_elementwise_functions", "test_function": "test_bitwise_left_shift", "array_api_function_name": "bitwise_left_shift", "params": {"ctx": {"func_name": "__lshift__", "func": "__lshift__", "left_sym": "x", "left_strat": "arrays(dtype=shared(oneway_promotable_dtypes([dtype('uint8'),\n dtype('uint16'),\n dtype('uint32'),\n dtype('uint64'),\n dtype('int8'),\n dtype('int16'),\n dtype('int32'),\n dtype('int64')])).map(lambda D: D.result_dtype), shape=array_shapes(min_dims=0).filter(lambda shape: prod(i for i in shape if i) < MAX_ARRAY_SIZE))", "right_sym": "s", "right_strat": "shared(oneway_promotable_dtypes([dtype('uint8'),\n dtype('uint16'),\n dtype('uint32'),\n dtype('uint64'),\n dtype('int8'),\n dtype('int16'),\n dtype('int32'),\n dtype('int64')])).map(lambda D: D.input_dtype).flatmap(lambda d: xps.from_dtype(d, **finite_kw))", "right_is_scalar": true, "res_name": "out"}}, "hypothesis_statistics": "array_api_tests/test_operators_and_elementwise_functions.py::test_bitwise_left_shift[__lshift__(x, s)]:\n\n  - during reuse phase (0.01 seconds):\n    - Typical runtimes: 1-2 ms, ~ 82% in data generation\n    - 2 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.37 seconds):\n    - Typical runtimes: 1-2 ms, ~ 84% in data generation\n    - 98 passing examples, 0 failing examples, 47 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0012661390000019423, "outcome": "passed"}, "call": {"duration": 0.3763902329999951, "outcome": "passed"}, "teardown": {"duration": 0.000370085000000131, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_operators_and_elementwise_functions.py::test_bitwise_left_shift[__ilshift__(x1, x2)]", "lineno": 651, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "pytestmark", "_hypothesis_internal_use_seed", "array-api-tests", "__ilshift__(x1, x2)", "test_operators_and_elementwise_functions.py", "ci", "test_bitwise_left_shift[__ilshift__(x1, x2)]", "parametrize", "array_api_tests/__init__.py", "is_hypothesis_test"], "metadata": {"test_module": "array_api_tests.test_operators_and_elementwise_functions", "test_function": "test_bitwise_left_shift", "array_api_function_name": "bitwise_left_shift", "params": {"ctx": {"func_name": "__ilshift__", "func": "__ilshift__", "left_sym": "x1", "left_strat": "arrays(dtype=shared(oneway_promotable_dtypes([dtype('uint8'),\n dtype('uint16'),\n dtype('uint32'),\n dtype('uint64'),\n dtype('int8'),\n dtype('int16'),\n dtype('int32'),\n dtype('int64')])).map(lambda D: D.result_dtype), shape=shared(oneway_broadcastable_shapes()).map(lambda S: S.result_shape))", "right_sym": "x2", "right_strat": "arrays(dtype=shared(oneway_promotable_dtypes([dtype('uint8'),\n dtype('uint16'),\n dtype('uint32'),\n dtype('uint64'),\n dtype('int8'),\n dtype('int16'),\n dtype('int32'),\n dtype('int64')])).map(lambda D: D.input_dtype), shape=shared(oneway_broadcastable_shapes()).map(lambda S: S.input_shape))", "right_is_scalar": false, "res_name": "x1"}}, "hypothesis_statistics": "array_api_tests/test_operators_and_elementwise_functions.py::test_bitwise_left_shift[__ilshift__(x1, x2)]:\n\n  - during reuse phase (0.01 seconds):\n    - Typical runtimes: 3-4 ms, ~ 85% in data generation\n    - 2 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.74 seconds):\n    - Typical runtimes: 2-6 ms, ~ 86% in data generation\n    - 98 passing examples, 0 failing examples, 33 invalid examples\n    - Events:\n      * 0.76%, Retried draw from <hypothesis.extra._array_helpers.MutuallyBroadcastableShapesStrategy object at 0x10cb01c10>.map(lambda x: <unknown>).filter(lambda s: <unknown>) to satisfy filter\n      * 0.76%, Retried draw from <hypothesis.extra._array_helpers.MutuallyBroadcastableShapesStrategy object at 0x10cd63f70>.map(lambda x: <unknown>).filter(lambda s: <unknown>) to satisfy filter\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.001629777000005106, "outcome": "passed"}, "call": {"duration": 0.7544218069999999, "outcome": "passed"}, "teardown": {"duration": 0.0006341660000046545, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_operators_and_elementwise_functions.py::test_bitwise_left_shift[__ilshift__(x, s)]", "lineno": 651, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "test_bitwise_left_shift[__ilshift__(x, s)]", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "pytestmark", "_hypothesis_internal_use_seed", "__ilshift__(x, s)", "array-api-tests", "test_operators_and_elementwise_functions.py", "ci", "parametrize", "array_api_tests/__init__.py", "is_hypothesis_test"], "metadata": {"test_module": "array_api_tests.test_operators_and_elementwise_functions", "test_function": "test_bitwise_left_shift", "array_api_function_name": "bitwise_left_shift", "params": {"ctx": {"func_name": "__ilshift__", "func": "__ilshift__", "left_sym": "x", "left_strat": "arrays(dtype=shared(oneway_promotable_dtypes([dtype('uint8'),\n dtype('uint16'),\n dtype('uint32'),\n dtype('uint64'),\n dtype('int8'),\n dtype('int16'),\n dtype('int32'),\n dtype('int64')])).map(lambda D: D.result_dtype), shape=array_shapes(min_dims=0).filter(lambda shape: prod(i for i in shape if i) < MAX_ARRAY_SIZE))", "right_sym": "s", "right_strat": "shared(oneway_promotable_dtypes([dtype('uint8'),\n dtype('uint16'),\n dtype('uint32'),\n dtype('uint64'),\n dtype('int8'),\n dtype('int16'),\n dtype('int32'),\n dtype('int64')])).map(lambda D: D.input_dtype).flatmap(lambda d: xps.from_dtype(d, **finite_kw))", "right_is_scalar": true, "res_name": "x"}}, "hypothesis_statistics": "array_api_tests/test_operators_and_elementwise_functions.py::test_bitwise_left_shift[__ilshift__(x, s)]:\n\n  - during reuse phase (0.01 seconds):\n    - Typical runtimes: ~ 1ms, ~ 78% in data generation\n    - 2 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.36 seconds):\n    - Typical runtimes: 1-2 ms, ~ 83% in data generation\n    - 98 passing examples, 0 failing examples, 41 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0012067199999989953, "outcome": "passed"}, "call": {"duration": 0.3709017999999986, "outcome": "passed"}, "teardown": {"duration": 0.0003954830000054699, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_operators_and_elementwise_functions.py::test_bitwise_invert[bitwise_invert]", "lineno": 673, "outcome": "passed", "keywords": ["bitwise_invert", "_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "pytestmark", "_hypothesis_internal_use_seed", "array-api-tests", "test_operators_and_elementwise_functions.py", "ci", "parametrize", "array_api_tests/__init__.py", "test_bitwise_invert[bitwise_invert]", "is_hypothesis_test"], "metadata": {"test_module": "array_api_tests.test_operators_and_elementwise_functions", "test_function": "test_bitwise_invert", "array_api_function_name": "bitwise_invert", "params": {"ctx": {"func_name": "bitwise_invert", "func": "bitwise_invert", "strat": "arrays(dtype=one_of(boolean_dtypes(), one_of(unsigned_integer_dtypes(), integer_dtypes())), shape=array_shapes(min_dims=0, min_side=0).filter(lambda shape: prod(i for i in shape if i) < MAX_ARRAY_SIZE))"}}, "hypothesis_statistics": "array_api_tests/test_operators_and_elementwise_functions.py::test_bitwise_invert[bitwise_invert]:\n\n  - during reuse phase (0.01 seconds):\n    - Typical runtimes: 0-1 ms, ~ 67% in data generation\n    - 3 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.21 seconds):\n    - Typical runtimes: 0-1 ms, ~ 66% in data generation\n    - 97 passing examples, 0 failing examples, 8 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.000847249999999633, "outcome": "passed"}, "call": {"duration": 0.21660065100000025, "outcome": "passed"}, "teardown": {"duration": 0.0003709040000003938, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_operators_and_elementwise_functions.py::test_bitwise_invert[__invert__]", "lineno": 673, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "pytestmark", "_hypothesis_internal_use_seed", "array-api-tests", "__invert__", "test_operators_and_elementwise_functions.py", "ci", "parametrize", "array_api_tests/__init__.py", "test_bitwise_invert[__invert__]", "is_hypothesis_test"], "metadata": {"test_module": "array_api_tests.test_operators_and_elementwise_functions", "test_function": "test_bitwise_invert", "array_api_function_name": "bitwise_invert", "params": {"ctx": {"func_name": "__invert__", "func": "<lambda>", "strat": "arrays(dtype=one_of(boolean_dtypes(), one_of(unsigned_integer_dtypes(), integer_dtypes())), shape=array_shapes(min_dims=0, min_side=0).filter(lambda shape: prod(i for i in shape if i) < MAX_ARRAY_SIZE))"}}, "hypothesis_statistics": "array_api_tests/test_operators_and_elementwise_functions.py::test_bitwise_invert[__invert__]:\n\n  - during reuse phase (0.00 seconds):\n    - Typical runtimes: 0-1 ms, ~ 59% in data generation\n    - 3 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.28 seconds):\n    - Typical runtimes: 0-2 ms, ~ 66% in data generation\n    - 97 passing examples, 0 failing examples, 13 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0005237780000015846, "outcome": "passed"}, "call": {"duration": 0.2820026360000014, "outcome": "passed"}, "teardown": {"duration": 0.0003550050000029614, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_operators_and_elementwise_functions.py::test_bitwise_or[bitwise_or(x1, x2)]", "lineno": 691, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "pytestmark", "_hypothesis_internal_use_seed", "array-api-tests", "test_bitwise_or[bitwise_or(x1, x2)]", "test_operators_and_elementwise_functions.py", "ci", "parametrize", "array_api_tests/__init__.py", "bitwise_or(x1, x2)", "is_hypothesis_test"], "metadata": {"test_module": "array_api_tests.test_operators_and_elementwise_functions", "test_function": "test_bitwise_or", "array_api_function_name": "bitwise_or", "params": {"ctx": {"func_name": "bitwise_or", "func": "bitwise_or", "left_sym": "x1", "left_strat": "arrays(dtype=shared(oneway_promotable_dtypes([dtype('bool'),\n dtype('uint8'),\n dtype('uint16'),\n dtype('uint32'),\n dtype('uint64'),\n dtype('int8'),\n dtype('int16'),\n dtype('int32'),\n dtype('int64')])).map(lambda D: D.result_dtype), shape=shared(mutually_broadcastable_shapes(2, max_dims=5, max_side=6).map(lambda BS: <unknown>).filter(lambda shapes: <unknown>)).map(lambda pair: pair[0]))", "right_sym": "x2", "right_strat": "arrays(dtype=shared(oneway_promotable_dtypes([dtype('bool'),\n dtype('uint8'),\n dtype('uint16'),\n dtype('uint32'),\n dtype('uint64'),\n dtype('int8'),\n dtype('int16'),\n dtype('int32'),\n dtype('int64')])).map(lambda D: D.input_dtype), shape=shared(mutually_broadcastable_shapes(2, max_dims=5, max_side=6).map(lambda BS: <unknown>).filter(lambda shapes: <unknown>)).map(lambda pair: pair[1]))", "right_is_scalar": false, "res_name": "out"}}, "hypothesis_statistics": "array_api_tests/test_operators_and_elementwise_functions.py::test_bitwise_or[bitwise_or(x1, x2)]:\n\n  - during reuse phase (0.04 seconds):\n    - Typical runtimes: 2-4 ms, ~ 74% in data generation\n    - 10 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (1.23 seconds):\n    - Typical runtimes: 1-25 ms, ~ 77% in data generation\n    - 90 passing examples, 0 failing examples, 70 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.004326888999997891, "outcome": "passed"}, "call": {"duration": 1.2738177510000028, "outcome": "passed"}, "teardown": {"duration": 0.0003750690000003942, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_operators_and_elementwise_functions.py::test_bitwise_or[__or__(x1, x2)]", "lineno": 691, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "pytestmark", "_hypothesis_internal_use_seed", "array-api-tests", "test_bitwise_or[__or__(x1, x2)]", "test_operators_and_elementwise_functions.py", "ci", "parametrize", "array_api_tests/__init__.py", "is_hypothesis_test", "__or__(x1, x2)"], "metadata": {"test_module": "array_api_tests.test_operators_and_elementwise_functions", "test_function": "test_bitwise_or", "array_api_function_name": "bitwise_or", "params": {"ctx": {"func_name": "__or__", "func": "__or__", "left_sym": "x1", "left_strat": "arrays(dtype=shared(oneway_promotable_dtypes([dtype('bool'),\n dtype('uint8'),\n dtype('uint16'),\n dtype('uint32'),\n dtype('uint64'),\n dtype('int8'),\n dtype('int16'),\n dtype('int32'),\n dtype('int64')])).map(lambda D: D.result_dtype), shape=shared(mutually_broadcastable_shapes(2, max_dims=5, max_side=6).map(lambda BS: <unknown>).filter(lambda shapes: <unknown>)).map(lambda pair: pair[0]))", "right_sym": "x2", "right_strat": "arrays(dtype=shared(oneway_promotable_dtypes([dtype('bool'),\n dtype('uint8'),\n dtype('uint16'),\n dtype('uint32'),\n dtype('uint64'),\n dtype('int8'),\n dtype('int16'),\n dtype('int32'),\n dtype('int64')])).map(lambda D: D.input_dtype), shape=shared(mutually_broadcastable_shapes(2, max_dims=5, max_side=6).map(lambda BS: <unknown>).filter(lambda shapes: <unknown>)).map(lambda pair: pair[1]))", "right_is_scalar": false, "res_name": "out"}}, "hypothesis_statistics": "array_api_tests/test_operators_and_elementwise_functions.py::test_bitwise_or[__or__(x1, x2)]:\n\n  - during reuse phase (0.03 seconds):\n    - Typical runtimes: ~ 2ms, ~ 76% in data generation\n    - 10 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.79 seconds):\n    - Typical runtimes: 1-8 ms, ~ 77% in data generation\n    - 90 passing examples, 0 failing examples, 48 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0027226300000009473, "outcome": "passed"}, "call": {"duration": 0.8215673110000026, "outcome": "passed"}, "teardown": {"duration": 0.0003091490000031172, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_operators_and_elementwise_functions.py::test_bitwise_or[__or__(x, s)]", "lineno": 691, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "test_bitwise_or[__or__(x, s)]", "hypothesis", "pytestmark", "_hypothesis_internal_use_seed", "__or__(x, s)", "array-api-tests", "test_operators_and_elementwise_functions.py", "ci", "parametrize", "array_api_tests/__init__.py", "is_hypothesis_test"], "metadata": {"test_module": "array_api_tests.test_operators_and_elementwise_functions", "test_function": "test_bitwise_or", "array_api_function_name": "bitwise_or", "params": {"ctx": {"func_name": "__or__", "func": "__or__", "left_sym": "x", "left_strat": "arrays(dtype=shared(oneway_promotable_dtypes([dtype('bool'),\n dtype('uint8'),\n dtype('uint16'),\n dtype('uint32'),\n dtype('uint64'),\n dtype('int8'),\n dtype('int16'),\n dtype('int32'),\n dtype('int64')])).map(lambda D: D.result_dtype), shape=array_shapes(min_dims=0).filter(lambda shape: prod(i for i in shape if i) < MAX_ARRAY_SIZE))", "right_sym": "s", "right_strat": "shared(oneway_promotable_dtypes([dtype('bool'),\n dtype('uint8'),\n dtype('uint16'),\n dtype('uint32'),\n dtype('uint64'),\n dtype('int8'),\n dtype('int16'),\n dtype('int32'),\n dtype('int64')])).map(lambda D: D.input_dtype).flatmap(lambda d: xps.from_dtype(d, **finite_kw))", "right_is_scalar": true, "res_name": "out"}}, "hypothesis_statistics": "array_api_tests/test_operators_and_elementwise_functions.py::test_bitwise_or[__or__(x, s)]:\n\n  - during reuse phase (0.01 seconds):\n    - Typical runtimes: ~ 1ms, ~ 78% in data generation\n    - 3 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.34 seconds):\n    - Typical runtimes: 0-2 ms, ~ 84% in data generation\n    - 97 passing examples, 0 failing examples, 25 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0013003939999975955, "outcome": "passed"}, "call": {"duration": 0.34795038899999753, "outcome": "passed"}, "teardown": {"duration": 0.00027743300000082627, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_operators_and_elementwise_functions.py::test_bitwise_or[__ior__(x1, x2)]", "lineno": 691, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "pytestmark", "_hypothesis_internal_use_seed", "array-api-tests", "test_operators_and_elementwise_functions.py", "ci", "parametrize", "array_api_tests/__init__.py", "test_bitwise_or[__ior__(x1, x2)]", "__ior__(x1, x2)", "is_hypothesis_test"], "metadata": {"test_module": "array_api_tests.test_operators_and_elementwise_functions", "test_function": "test_bitwise_or", "array_api_function_name": "bitwise_or", "params": {"ctx": {"func_name": "__ior__", "func": "__ior__", "left_sym": "x1", "left_strat": "arrays(dtype=shared(oneway_promotable_dtypes([dtype('bool'),\n dtype('uint8'),\n dtype('uint16'),\n dtype('uint32'),\n dtype('uint64'),\n dtype('int8'),\n dtype('int16'),\n dtype('int32'),\n dtype('int64')])).map(lambda D: D.result_dtype), shape=shared(oneway_broadcastable_shapes()).map(lambda S: S.result_shape))", "right_sym": "x2", "right_strat": "arrays(dtype=shared(oneway_promotable_dtypes([dtype('bool'),\n dtype('uint8'),\n dtype('uint16'),\n dtype('uint32'),\n dtype('uint64'),\n dtype('int8'),\n dtype('int16'),\n dtype('int32'),\n dtype('int64')])).map(lambda D: D.input_dtype), shape=shared(oneway_broadcastable_shapes()).map(lambda S: S.input_shape))", "right_is_scalar": false, "res_name": "x1"}}, "hypothesis_statistics": "array_api_tests/test_operators_and_elementwise_functions.py::test_bitwise_or[__ior__(x1, x2)]:\n\n  - during reuse phase (0.01 seconds):\n    - Typical runtimes: ~ 3ms, ~ 84% in data generation\n    - 3 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.62 seconds):\n    - Typical runtimes: 2-5 ms, ~ 86% in data generation\n    - 97 passing examples, 0 failing examples, 28 invalid examples\n    - Events:\n      * 0.80%, Retried draw from <hypothesis.extra._array_helpers.MutuallyBroadcastableShapesStrategy object at 0x10da0f6d0>.map(lambda x: <unknown>).filter(lambda s: <unknown>) to satisfy filter\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0017545580000017935, "outcome": "passed"}, "call": {"duration": 0.631935642000002, "outcome": "passed"}, "teardown": {"duration": 0.0004972979999990912, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_operators_and_elementwise_functions.py::test_bitwise_or[__ior__(x, s)]", "lineno": 691, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "pytestmark", "_hypothesis_internal_use_seed", "array-api-tests", "test_operators_and_elementwise_functions.py", "ci", "test_bitwise_or[__ior__(x, s)]", "parametrize", "array_api_tests/__init__.py", "is_hypothesis_test", "__ior__(x, s)"], "metadata": {"test_module": "array_api_tests.test_operators_and_elementwise_functions", "test_function": "test_bitwise_or", "array_api_function_name": "bitwise_or", "params": {"ctx": {"func_name": "__ior__", "func": "__ior__", "left_sym": "x", "left_strat": "arrays(dtype=shared(oneway_promotable_dtypes([dtype('bool'),\n dtype('uint8'),\n dtype('uint16'),\n dtype('uint32'),\n dtype('uint64'),\n dtype('int8'),\n dtype('int16'),\n dtype('int32'),\n dtype('int64')])).map(lambda D: D.result_dtype), shape=array_shapes(min_dims=0).filter(lambda shape: prod(i for i in shape if i) < MAX_ARRAY_SIZE))", "right_sym": "s", "right_strat": "shared(oneway_promotable_dtypes([dtype('bool'),\n dtype('uint8'),\n dtype('uint16'),\n dtype('uint32'),\n dtype('uint64'),\n dtype('int8'),\n dtype('int16'),\n dtype('int32'),\n dtype('int64')])).map(lambda D: D.input_dtype).flatmap(lambda d: xps.from_dtype(d, **finite_kw))", "right_is_scalar": true, "res_name": "x"}}, "hypothesis_statistics": "array_api_tests/test_operators_and_elementwise_functions.py::test_bitwise_or[__ior__(x, s)]:\n\n  - during reuse phase (0.01 seconds):\n    - Typical runtimes: ~ 1ms, ~ 73% in data generation\n    - 3 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.42 seconds):\n    - Typical runtimes: 1-3 ms, ~ 83% in data generation\n    - 97 passing examples, 0 failing examples, 24 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0016748280000058458, "outcome": "passed"}, "call": {"duration": 0.42483071600000244, "outcome": "passed"}, "teardown": {"duration": 0.0005496919999998795, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_operators_and_elementwise_functions.py::test_bitwise_right_shift[bitwise_right_shift(x1, x2)]", "lineno": 710, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "test_bitwise_right_shift[bitwise_right_shift(x1, x2)]", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "pytestmark", "_hypothesis_internal_use_seed", "array-api-tests", "test_operators_and_elementwise_functions.py", "ci", "parametrize", "array_api_tests/__init__.py", "is_hypothesis_test", "bitwise_right_shift(x1, x2)"], "metadata": {"test_module": "array_api_tests.test_operators_and_elementwise_functions", "test_function": "test_bitwise_right_shift", "array_api_function_name": "bitwise_right_shift", "params": {"ctx": {"func_name": "bitwise_right_shift", "func": "bitwise_right_shift", "left_sym": "x1", "left_strat": "arrays(dtype=shared(oneway_promotable_dtypes([dtype('uint8'),\n dtype('uint16'),\n dtype('uint32'),\n dtype('uint64'),\n dtype('int8'),\n dtype('int16'),\n dtype('int32'),\n dtype('int64')])).map(lambda D: D.result_dtype), shape=shared(mutually_broadcastable_shapes(2, max_dims=5, max_side=6).map(lambda BS: <unknown>).filter(lambda shapes: <unknown>)).map(lambda pair: pair[0]))", "right_sym": "x2", "right_strat": "arrays(dtype=shared(oneway_promotable_dtypes([dtype('uint8'),\n dtype('uint16'),\n dtype('uint32'),\n dtype('uint64'),\n dtype('int8'),\n dtype('int16'),\n dtype('int32'),\n dtype('int64')])).map(lambda D: D.input_dtype), shape=shared(mutually_broadcastable_shapes(2, max_dims=5, max_side=6).map(lambda BS: <unknown>).filter(lambda shapes: <unknown>)).map(lambda pair: pair[1]))", "right_is_scalar": false, "res_name": "out"}}, "hypothesis_statistics": "array_api_tests/test_operators_and_elementwise_functions.py::test_bitwise_right_shift[bitwise_right_shift(x1, x2)]:\n\n  - during reuse phase (0.01 seconds):\n    - Typical runtimes: ~ 2ms, ~ 71% in data generation\n    - 2 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.67 seconds):\n    - Typical runtimes: 1-6 ms, ~ 79% in data generation\n    - 98 passing examples, 0 failing examples, 68 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.004118101000003094, "outcome": "passed"}, "call": {"duration": 0.6814246639999979, "outcome": "passed"}, "teardown": {"duration": 0.00042544400000110727, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_operators_and_elementwise_functions.py::test_bitwise_right_shift[__rshift__(x1, x2)]", "lineno": 710, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "pytestmark", "_hypothesis_internal_use_seed", "array-api-tests", "test_operators_and_elementwise_functions.py", "test_bitwise_right_shift[__rshift__(x1, x2)]", "ci", "__rshift__(x1, x2)", "parametrize", "array_api_tests/__init__.py", "is_hypothesis_test"], "metadata": {"test_module": "array_api_tests.test_operators_and_elementwise_functions", "test_function": "test_bitwise_right_shift", "array_api_function_name": "bitwise_right_shift", "params": {"ctx": {"func_name": "__rshift__", "func": "__rshift__", "left_sym": "x1", "left_strat": "arrays(dtype=shared(oneway_promotable_dtypes([dtype('uint8'),\n dtype('uint16'),\n dtype('uint32'),\n dtype('uint64'),\n dtype('int8'),\n dtype('int16'),\n dtype('int32'),\n dtype('int64')])).map(lambda D: D.result_dtype), shape=shared(mutually_broadcastable_shapes(2, max_dims=5, max_side=6).map(lambda BS: <unknown>).filter(lambda shapes: <unknown>)).map(lambda pair: pair[0]))", "right_sym": "x2", "right_strat": "arrays(dtype=shared(oneway_promotable_dtypes([dtype('uint8'),\n dtype('uint16'),\n dtype('uint32'),\n dtype('uint64'),\n dtype('int8'),\n dtype('int16'),\n dtype('int32'),\n dtype('int64')])).map(lambda D: D.input_dtype), shape=shared(mutually_broadcastable_shapes(2, max_dims=5, max_side=6).map(lambda BS: <unknown>).filter(lambda shapes: <unknown>)).map(lambda pair: pair[1]))", "right_is_scalar": false, "res_name": "out"}}, "hypothesis_statistics": "array_api_tests/test_operators_and_elementwise_functions.py::test_bitwise_right_shift[__rshift__(x1, x2)]:\n\n  - during reuse phase (0.02 seconds):\n    - Typical runtimes: ~ 2ms, ~ 75% in data generation\n    - 6 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.95 seconds):\n    - Typical runtimes: 1-12 ms, ~ 76% in data generation\n    - 94 passing examples, 0 failing examples, 61 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.003101362000002439, "outcome": "passed"}, "call": {"duration": 0.9759627459999933, "outcome": "passed"}, "teardown": {"duration": 0.0003322040000028892, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_operators_and_elementwise_functions.py::test_bitwise_right_shift[__rshift__(x, s)]", "lineno": 710, "outcome": "passed", "keywords": ["test_bitwise_right_shift[__rshift__(x, s)]", "_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "pytestmark", "_hypothesis_internal_use_seed", "array-api-tests", "test_operators_and_elementwise_functions.py", "ci", "parametrize", "array_api_tests/__init__.py", "is_hypothesis_test", "__rshift__(x, s)"], "metadata": {"test_module": "array_api_tests.test_operators_and_elementwise_functions", "test_function": "test_bitwise_right_shift", "array_api_function_name": "bitwise_right_shift", "params": {"ctx": {"func_name": "__rshift__", "func": "__rshift__", "left_sym": "x", "left_strat": "arrays(dtype=shared(oneway_promotable_dtypes([dtype('uint8'),\n dtype('uint16'),\n dtype('uint32'),\n dtype('uint64'),\n dtype('int8'),\n dtype('int16'),\n dtype('int32'),\n dtype('int64')])).map(lambda D: D.result_dtype), shape=array_shapes(min_dims=0).filter(lambda shape: prod(i for i in shape if i) < MAX_ARRAY_SIZE))", "right_sym": "s", "right_strat": "shared(oneway_promotable_dtypes([dtype('uint8'),\n dtype('uint16'),\n dtype('uint32'),\n dtype('uint64'),\n dtype('int8'),\n dtype('int16'),\n dtype('int32'),\n dtype('int64')])).map(lambda D: D.input_dtype).flatmap(lambda d: xps.from_dtype(d, **finite_kw))", "right_is_scalar": true, "res_name": "out"}}, "hypothesis_statistics": "array_api_tests/test_operators_and_elementwise_functions.py::test_bitwise_right_shift[__rshift__(x, s)]:\n\n  - during reuse phase (0.00 seconds):\n    - Typical runtimes: ~ 1ms, ~ 80% in data generation\n    - 2 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.34 seconds):\n    - Typical runtimes: 1-3 ms, ~ 84% in data generation\n    - 98 passing examples, 0 failing examples, 25 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.001393192999998405, "outcome": "passed"}, "call": {"duration": 0.3422532700000005, "outcome": "passed"}, "teardown": {"duration": 0.00037048500000480544, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_operators_and_elementwise_functions.py::test_bitwise_right_shift[__irshift__(x1, x2)]", "lineno": 710, "outcome": "passed", "keywords": ["test_bitwise_right_shift[__irshift__(x1, x2)]", "_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "pytestmark", "_hypothesis_internal_use_seed", "array-api-tests", "test_operators_and_elementwise_functions.py", "ci", "parametrize", "array_api_tests/__init__.py", "__irshift__(x1, x2)", "is_hypothesis_test"], "metadata": {"test_module": "array_api_tests.test_operators_and_elementwise_functions", "test_function": "test_bitwise_right_shift", "array_api_function_name": "bitwise_right_shift", "params": {"ctx": {"func_name": "__irshift__", "func": "__irshift__", "left_sym": "x1", "left_strat": "arrays(dtype=shared(oneway_promotable_dtypes([dtype('uint8'),\n dtype('uint16'),\n dtype('uint32'),\n dtype('uint64'),\n dtype('int8'),\n dtype('int16'),\n dtype('int32'),\n dtype('int64')])).map(lambda D: D.result_dtype), shape=shared(oneway_broadcastable_shapes()).map(lambda S: S.result_shape))", "right_sym": "x2", "right_strat": "arrays(dtype=shared(oneway_promotable_dtypes([dtype('uint8'),\n dtype('uint16'),\n dtype('uint32'),\n dtype('uint64'),\n dtype('int8'),\n dtype('int16'),\n dtype('int32'),\n dtype('int64')])).map(lambda D: D.input_dtype), shape=shared(oneway_broadcastable_shapes()).map(lambda S: S.input_shape))", "right_is_scalar": false, "res_name": "x1"}}, "hypothesis_statistics": "array_api_tests/test_operators_and_elementwise_functions.py::test_bitwise_right_shift[__irshift__(x1, x2)]:\n\n  - during reuse phase (0.01 seconds):\n    - Typical runtimes: ~ 3ms, ~ 84% in data generation\n    - 2 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.72 seconds):\n    - Typical runtimes: 2-5 ms, ~ 86% in data generation\n    - 98 passing examples, 0 failing examples, 39 invalid examples\n    - Events:\n      * 0.73%, Retried draw from <hypothesis.extra._array_helpers.MutuallyBroadcastableShapesStrategy object at 0x10d1b74c0>.map(lambda x: <unknown>).filter(lambda s: <unknown>) to satisfy filter\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.002288730000003625, "outcome": "passed"}, "call": {"duration": 0.7311749600000041, "outcome": "passed"}, "teardown": {"duration": 0.00031705300000339776, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_operators_and_elementwise_functions.py::test_bitwise_right_shift[__irshift__(x, s)]", "lineno": 710, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "is_hypothesis_test", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "pytestmark", "_hypothesis_internal_use_seed", "array-api-tests", "test_operators_and_elementwise_functions.py", "ci", "parametrize", "__irshift__(x, s)", "array_api_tests/__init__.py", "test_bitwise_right_shift[__irshift__(x, s)]"], "metadata": {"test_module": "array_api_tests.test_operators_and_elementwise_functions", "test_function": "test_bitwise_right_shift", "array_api_function_name": "bitwise_right_shift", "params": {"ctx": {"func_name": "__irshift__", "func": "__irshift__", "left_sym": "x", "left_strat": "arrays(dtype=shared(oneway_promotable_dtypes([dtype('uint8'),\n dtype('uint16'),\n dtype('uint32'),\n dtype('uint64'),\n dtype('int8'),\n dtype('int16'),\n dtype('int32'),\n dtype('int64')])).map(lambda D: D.result_dtype), shape=array_shapes(min_dims=0).filter(lambda shape: prod(i for i in shape if i) < MAX_ARRAY_SIZE))", "right_sym": "s", "right_strat": "shared(oneway_promotable_dtypes([dtype('uint8'),\n dtype('uint16'),\n dtype('uint32'),\n dtype('uint64'),\n dtype('int8'),\n dtype('int16'),\n dtype('int32'),\n dtype('int64')])).map(lambda D: D.input_dtype).flatmap(lambda d: xps.from_dtype(d, **finite_kw))", "right_is_scalar": true, "res_name": "x"}}, "hypothesis_statistics": "array_api_tests/test_operators_and_elementwise_functions.py::test_bitwise_right_shift[__irshift__(x, s)]:\n\n  - during reuse phase (0.01 seconds):\n    - Typical runtimes: ~ 1ms, ~ 79% in data generation\n    - 2 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.41 seconds):\n    - Typical runtimes: 1-3 ms, ~ 83% in data generation\n    - 98 passing examples, 0 failing examples, 43 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0012851859999898352, "outcome": "passed"}, "call": {"duration": 0.4180903059999963, "outcome": "passed"}, "teardown": {"duration": 0.0005467780000003586, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_operators_and_elementwise_functions.py::test_bitwise_xor[bitwise_xor(x1, x2)]", "lineno": 731, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "pytestmark", "_hypothesis_internal_use_seed", "array-api-tests", "test_operators_and_elementwise_functions.py", "test_bitwise_xor[bitwise_xor(x1, x2)]", "ci", "parametrize", "array_api_tests/__init__.py", "is_hypothesis_test", "bitwise_xor(x1, x2)"], "metadata": {"test_module": "array_api_tests.test_operators_and_elementwise_functions", "test_function": "test_bitwise_xor", "array_api_function_name": "bitwise_xor", "params": {"ctx": {"func_name": "bitwise_xor", "func": "bitwise_xor", "left_sym": "x1", "left_strat": "arrays(dtype=shared(oneway_promotable_dtypes([dtype('bool'),\n dtype('uint8'),\n dtype('uint16'),\n dtype('uint32'),\n dtype('uint64'),\n dtype('int8'),\n dtype('int16'),\n dtype('int32'),\n dtype('int64')])).map(lambda D: D.result_dtype), shape=shared(mutually_broadcastable_shapes(2, max_dims=5, max_side=6).map(lambda BS: <unknown>).filter(lambda shapes: <unknown>)).map(lambda pair: pair[0]))", "right_sym": "x2", "right_strat": "arrays(dtype=shared(oneway_promotable_dtypes([dtype('bool'),\n dtype('uint8'),\n dtype('uint16'),\n dtype('uint32'),\n dtype('uint64'),\n dtype('int8'),\n dtype('int16'),\n dtype('int32'),\n dtype('int64')])).map(lambda D: D.input_dtype), shape=shared(mutually_broadcastable_shapes(2, max_dims=5, max_side=6).map(lambda BS: <unknown>).filter(lambda shapes: <unknown>)).map(lambda pair: pair[1]))", "right_is_scalar": false, "res_name": "out"}}, "hypothesis_statistics": "array_api_tests/test_operators_and_elementwise_functions.py::test_bitwise_xor[bitwise_xor(x1, x2)]:\n\n  - during reuse phase (0.03 seconds):\n    - Typical runtimes: 2-3 ms, ~ 77% in data generation\n    - 10 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.71 seconds):\n    - Typical runtimes: 1-8 ms, ~ 77% in data generation\n    - 90 passing examples, 0 failing examples, 38 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.004134253000003696, "outcome": "passed"}, "call": {"duration": 0.7481066619999979, "outcome": "passed"}, "teardown": {"duration": 0.0003873249999912787, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_operators_and_elementwise_functions.py::test_bitwise_xor[__xor__(x1, x2)]", "lineno": 731, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "pytestmark", "_hypothesis_internal_use_seed", "array-api-tests", "test_operators_and_elementwise_functions.py", "ci", "__xor__(x1, x2)", "parametrize", "array_api_tests/__init__.py", "test_bitwise_xor[__xor__(x1, x2)]", "is_hypothesis_test"], "metadata": {"test_module": "array_api_tests.test_operators_and_elementwise_functions", "test_function": "test_bitwise_xor", "array_api_function_name": "bitwise_xor", "params": {"ctx": {"func_name": "__xor__", "func": "__xor__", "left_sym": "x1", "left_strat": "arrays(dtype=shared(oneway_promotable_dtypes([dtype('bool'),\n dtype('uint8'),\n dtype('uint16'),\n dtype('uint32'),\n dtype('uint64'),\n dtype('int8'),\n dtype('int16'),\n dtype('int32'),\n dtype('int64')])).map(lambda D: D.result_dtype), shape=shared(mutually_broadcastable_shapes(2, max_dims=5, max_side=6).map(lambda BS: <unknown>).filter(lambda shapes: <unknown>)).map(lambda pair: pair[0]))", "right_sym": "x2", "right_strat": "arrays(dtype=shared(oneway_promotable_dtypes([dtype('bool'),\n dtype('uint8'),\n dtype('uint16'),\n dtype('uint32'),\n dtype('uint64'),\n dtype('int8'),\n dtype('int16'),\n dtype('int32'),\n dtype('int64')])).map(lambda D: D.input_dtype), shape=shared(mutually_broadcastable_shapes(2, max_dims=5, max_side=6).map(lambda BS: <unknown>).filter(lambda shapes: <unknown>)).map(lambda pair: pair[1]))", "right_is_scalar": false, "res_name": "out"}}, "hypothesis_statistics": "array_api_tests/test_operators_and_elementwise_functions.py::test_bitwise_xor[__xor__(x1, x2)]:\n\n  - during reuse phase (0.05 seconds):\n    - Typical runtimes: 2-5 ms, ~ 70% in data generation\n    - 10 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.93 seconds):\n    - Typical runtimes: 1-12 ms, ~ 77% in data generation\n    - 90 passing examples, 0 failing examples, 53 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0027930709999992587, "outcome": "passed"}, "call": {"duration": 0.9827794020000056, "outcome": "passed"}, "teardown": {"duration": 0.00032669700000553803, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_operators_and_elementwise_functions.py::test_bitwise_xor[__xor__(x, s)]", "lineno": 731, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "__xor__(x, s)", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "pytestmark", "_hypothesis_internal_use_seed", "array-api-tests", "test_operators_and_elementwise_functions.py", "ci", "parametrize", "array_api_tests/__init__.py", "is_hypothesis_test", "test_bitwise_xor[__xor__(x, s)]"], "metadata": {"test_module": "array_api_tests.test_operators_and_elementwise_functions", "test_function": "test_bitwise_xor", "array_api_function_name": "bitwise_xor", "params": {"ctx": {"func_name": "__xor__", "func": "__xor__", "left_sym": "x", "left_strat": "arrays(dtype=shared(oneway_promotable_dtypes([dtype('bool'),\n dtype('uint8'),\n dtype('uint16'),\n dtype('uint32'),\n dtype('uint64'),\n dtype('int8'),\n dtype('int16'),\n dtype('int32'),\n dtype('int64')])).map(lambda D: D.result_dtype), shape=array_shapes(min_dims=0).filter(lambda shape: prod(i for i in shape if i) < MAX_ARRAY_SIZE))", "right_sym": "s", "right_strat": "shared(oneway_promotable_dtypes([dtype('bool'),\n dtype('uint8'),\n dtype('uint16'),\n dtype('uint32'),\n dtype('uint64'),\n dtype('int8'),\n dtype('int16'),\n dtype('int32'),\n dtype('int64')])).map(lambda D: D.input_dtype).flatmap(lambda d: xps.from_dtype(d, **finite_kw))", "right_is_scalar": true, "res_name": "out"}}, "hypothesis_statistics": "array_api_tests/test_operators_and_elementwise_functions.py::test_bitwise_xor[__xor__(x, s)]:\n\n  - during reuse phase (0.01 seconds):\n    - Typical runtimes: 1-2 ms, ~ 80% in data generation\n    - 3 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.35 seconds):\n    - Typical runtimes: 1-2 ms, ~ 83% in data generation\n    - 97 passing examples, 0 failing examples, 24 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0013577990000044338, "outcome": "passed"}, "call": {"duration": 0.36381909100001053, "outcome": "passed"}, "teardown": {"duration": 0.00032116500000256565, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_operators_and_elementwise_functions.py::test_bitwise_xor[__ixor__(x1, x2)]", "lineno": 731, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "pytestmark", "_hypothesis_internal_use_seed", "__ixor__(x1, x2)", "array-api-tests", "test_operators_and_elementwise_functions.py", "ci", "test_bitwise_xor[__ixor__(x1, x2)]", "parametrize", "array_api_tests/__init__.py", "is_hypothesis_test"], "metadata": {"test_module": "array_api_tests.test_operators_and_elementwise_functions", "test_function": "test_bitwise_xor", "array_api_function_name": "bitwise_xor", "params": {"ctx": {"func_name": "__ixor__", "func": "__ixor__", "left_sym": "x1", "left_strat": "arrays(dtype=shared(oneway_promotable_dtypes([dtype('bool'),\n dtype('uint8'),\n dtype('uint16'),\n dtype('uint32'),\n dtype('uint64'),\n dtype('int8'),\n dtype('int16'),\n dtype('int32'),\n dtype('int64')])).map(lambda D: D.result_dtype), shape=shared(oneway_broadcastable_shapes()).map(lambda S: S.result_shape))", "right_sym": "x2", "right_strat": "arrays(dtype=shared(oneway_promotable_dtypes([dtype('bool'),\n dtype('uint8'),\n dtype('uint16'),\n dtype('uint32'),\n dtype('uint64'),\n dtype('int8'),\n dtype('int16'),\n dtype('int32'),\n dtype('int64')])).map(lambda D: D.input_dtype), shape=shared(oneway_broadcastable_shapes()).map(lambda S: S.input_shape))", "right_is_scalar": false, "res_name": "x1"}}, "hypothesis_statistics": "array_api_tests/test_operators_and_elementwise_functions.py::test_bitwise_xor[__ixor__(x1, x2)]:\n\n  - during reuse phase (0.01 seconds):\n    - Typical runtimes: ~ 3ms, ~ 83% in data generation\n    - 3 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.68 seconds):\n    - Typical runtimes: 2-5 ms, ~ 86% in data generation\n    - 97 passing examples, 0 failing examples, 31 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.001843424000000482, "outcome": "passed"}, "call": {"duration": 0.6955100370000054, "outcome": "passed"}, "teardown": {"duration": 0.00031091600000365816, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_operators_and_elementwise_functions.py::test_bitwise_xor[__ixor__(x, s)]", "lineno": 731, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "hypothesis", "pytestmark", "_hypothesis_internal_use_seed", "array-api-tests", "test_operators_and_elementwise_functions.py", "test_bitwise_xor[__ixor__(x, s)]", "ci", "parametrize", "array_api_tests/__init__.py", "__ixor__(x, s)", "is_hypothesis_test"], "metadata": {"test_module": "array_api_tests.test_operators_and_elementwise_functions", "test_function": "test_bitwise_xor", "array_api_function_name": "bitwise_xor", "params": {"ctx": {"func_name": "__ixor__", "func": "__ixor__", "left_sym": "x", "left_strat": "arrays(dtype=shared(oneway_promotable_dtypes([dtype('bool'),\n dtype('uint8'),\n dtype('uint16'),\n dtype('uint32'),\n dtype('uint64'),\n dtype('int8'),\n dtype('int16'),\n dtype('int32'),\n dtype('int64')])).map(lambda D: D.result_dtype), shape=array_shapes(min_dims=0).filter(lambda shape: prod(i for i in shape if i) < MAX_ARRAY_SIZE))", "right_sym": "s", "right_strat": "shared(oneway_promotable_dtypes([dtype('bool'),\n dtype('uint8'),\n dtype('uint16'),\n dtype('uint32'),\n dtype('uint64'),\n dtype('int8'),\n dtype('int16'),\n dtype('int32'),\n dtype('int64')])).map(lambda D: D.input_dtype).flatmap(lambda d: xps.from_dtype(d, **finite_kw))", "right_is_scalar": true, "res_name": "x"}}, "hypothesis_statistics": "array_api_tests/test_operators_and_elementwise_functions.py::test_bitwise_xor[__ixor__(x, s)]:\n\n  - during reuse phase (0.01 seconds):\n    - Typical runtimes: ~ 1ms, ~ 80% in data generation\n    - 3 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.41 seconds):\n    - Typical runtimes: 1-3 ms, ~ 83% in data generation\n    - 97 passing examples, 0 failing examples, 26 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0014602579999944965, "outcome": "passed"}, "call": {"duration": 0.4241829419999874, "outcome": "passed"}, "teardown": {"duration": 0.00032025400000179616, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_operators_and_elementwise_functions.py::test_ceil", "lineno": 750, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "array_api_tests/__init__.py", "is_hypothesis_test", "hypothesis", "array-api-tests", "_hypothesis_internal_use_seed", "test_operators_and_elementwise_functions.py", "ci", "test_ceil"], "metadata": {"test_module": "array_api_tests.test_operators_and_elementwise_functions", "test_function": "test_ceil", "array_api_function_name": "ceil", "hypothesis_statistics": "array_api_tests/test_operators_and_elementwise_functions.py::test_ceil:\n\n  - during reuse phase (0.01 seconds):\n    - Typical runtimes: 0-1 ms, ~ 64% in data generation\n    - 4 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.38 seconds):\n    - Typical runtimes: 0-2 ms, ~ 76% in data generation\n    - 96 passing examples, 0 failing examples, 35 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.0003511590000044862, "outcome": "passed"}, "call": {"duration": 0.39359905999999967, "outcome": "passed"}, "teardown": {"duration": 0.0002815980000008267, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_operators_and_elementwise_functions.py::test_cos", "lineno": 758, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "test_cos", "_hypothesis_internal_use_reproduce_failure", "array_api_tests/__init__.py", "is_hypothesis_test", "hypothesis", "array-api-tests", "_hypothesis_internal_use_seed", "test_operators_and_elementwise_functions.py", "ci"], "metadata": {"test_module": "array_api_tests.test_operators_and_elementwise_functions", "test_function": "test_cos", "array_api_function_name": "cos", "hypothesis_statistics": "array_api_tests/test_operators_and_elementwise_functions.py::test_cos:\n\n  - during reuse phase (0.00 seconds):\n    - Typical runtimes: 0-1 ms, ~ 57% in data generation\n    - 3 passing examples, 0 failing examples, 0 invalid examples\n\n  - during generate phase (0.22 seconds):\n    - Typical runtimes: 0-2 ms, ~ 71% in data generation\n    - 97 passing examples, 0 failing examples, 11 invalid examples\n\n  - Stopped because settings.max_examples=100"}, "setup": {"duration": 0.00030497699999898487, "outcome": "passed"}, "call": {"duration": 0.2224906909999902, "outcome": "passed"}, "teardown": {"duration": 0.0004007069999971691, "outcome": "passed"}}, {"nodeid": "array_api_tests/test_operators_and_elementwise_functions.py::test_cosh", "lineno": 766, "outcome": "passed", "keywords": ["_hypothesis_internal_use_settings", "_hypothesis_internal_use_reproduce_failure", "test_cosh", "array_api_tests/__init__.py", "is_hypothesis_test", "hypothesis", "array-api-tests", "_hy

numpy-report.json