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How to use boolean_dtypes method in hypothesis

Best Python code snippet using hypothesis

test_pretty.py

Source:test_pretty.py

...30        # Generic strategies31        ("from_dtype", from_dtype(xp, xp.int8)),32        ("arrays", arrays(xp, xp.int8, 5)),33        ("scalar_dtypes", scalar_dtypes(xp)),34        ("boolean_dtypes", boolean_dtypes(xp)),35        ("numeric_dtypes", numeric_dtypes(xp)),36        ("integer_dtypes", integer_dtypes(xp)),37        ("unsigned_integer_dtypes", unsigned_integer_dtypes(xp)),38        ("floating_dtypes", floating_dtypes(xp)),39        # Namespaced strategies40        ("from_dtype", xps.from_dtype(xp.int8)),41        ("arrays", xps.arrays(xp.int8, 5)),42        ("scalar_dtypes", xps.scalar_dtypes()),43        ("boolean_dtypes", xps.boolean_dtypes()),44        ("numeric_dtypes", xps.numeric_dtypes()),45        ("integer_dtypes", xps.integer_dtypes()),46        ("unsigned_integer_dtypes", xps.unsigned_integer_dtypes()),47        ("floating_dtypes", xps.floating_dtypes()),48    ]49)50def test_xp_strategies_pretty_repr(name, strat):51    """Strategies that take xp use its __name__ for their own repr."""52    assert repr(strat).startswith(name), f"{name} not in strat repr"53    assert len(repr(strat)) < 100, "strat repr looks too long"...

__init__.py

Source:__init__.py

1from .dtypes import (BOOLEAN_DTYPES, CATEGORICAL_DTYPES, DATETIMES_DTYPES,2                     NUMERICAL_DTYPES, ORDERED_DTYPES)3from .impurity import gini, information_gain4from .split import Split, split_numerical, split_ordered_manual, split_ordered...

dtypes.py

Source:dtypes.py

1NUMERICAL_DTYPES = ['float', 'float64', 'int', 'int64']2CATEGORICAL_DTYPES = ['category']3BOOLEAN_DTYPES = ['bool']4DATETIMES_DTYPES = ['datetime64[ns]']...

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