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How to use _build_number_equivalents method in pandera

Best Python code snippet using pandera_python

numpy_engine.py

Source:numpy_engine.py

...89)90@immutable91class Bool(DataType, dtypes.Bool):92    type = np.dtype("bool")93def _build_number_equivalents(94    builtin_name: str, pandera_name: str, sizes: List[int]95) -> Dict[int, List[Union[type, str, np.dtype, dtypes.DataType]]]:96    """Return a dict of equivalent builtin, numpy, pandera dtypes97    indexed by size in bit_width."""98    builtin_type = getattr(builtins, builtin_name, None)99    default_np_dtype = np.dtype(builtin_name)100    default_size = int(default_np_dtype.name.replace(builtin_name, ""))101    default_equivalents = [102        # e.g.: np.int64103        np.dtype(builtin_name).type,104        # e.g: pandera.dtypes.Int105        getattr(dtypes, pandera_name),106    ]107    if builtin_type:108        default_equivalents.append(builtin_type)109    return {110        bit_width: list(111            set(112                (113                    # e.g.: numpy.int64114                    getattr(np, f"{builtin_name}{bit_width}"),115                    # e.g.: pandera.dtypes.Int64116                    getattr(dtypes, f"{pandera_name}{bit_width}"),117                    getattr(dtypes, f"{pandera_name}{bit_width}")(),118                    # e.g.: pandera.dtypes.Int(64)119                    getattr(dtypes, pandera_name)(),120                )121            )122            | set(default_equivalents if bit_width == default_size else [])123        )124        for bit_width in sizes125    }126###############################################################################127# signed integer128###############################################################################129_int_equivalents = _build_number_equivalents(130    builtin_name="int", pandera_name="Int", sizes=[64, 32, 16, 8]131)132@Engine.register_dtype(equivalents=_int_equivalents[64])133@immutable134class Int64(DataType, dtypes.Int64):135    type = np.dtype("int64")136    bit_width: int = 64137@Engine.register_dtype(equivalents=_int_equivalents[32])138@immutable139class Int32(Int64):140    type = np.dtype("int32")  # type: ignore141    bit_width: int = 32142@Engine.register_dtype(equivalents=_int_equivalents[16])143@immutable144class Int16(Int32):145    type = np.dtype("int16")  # type: ignore146    bit_width: int = 16147@Engine.register_dtype(equivalents=_int_equivalents[8])148@immutable149class Int8(Int16):150    type = np.dtype("int8")  # type: ignore151    bit_width: int = 8152###############################################################################153# unsigned integer154###############################################################################155_uint_equivalents = _build_number_equivalents(156    builtin_name="uint",157    pandera_name="UInt",158    sizes=[64, 32, 16, 8],159)160@Engine.register_dtype(equivalents=_uint_equivalents[64])161@immutable162class UInt64(DataType, dtypes.UInt64):163    type = np.dtype("uint64")164    bit_width: int = 64165@Engine.register_dtype(equivalents=_uint_equivalents[32])166@immutable167class UInt32(UInt64):168    type = np.dtype("uint32")  # type: ignore169    bit_width: int = 32170@Engine.register_dtype(equivalents=_uint_equivalents[16])171@immutable172class UInt16(UInt32):173    type = np.dtype("uint16")  # type: ignore174    bit_width: int = 16175@Engine.register_dtype(equivalents=_uint_equivalents[8])176@immutable177class UInt8(UInt16):178    type = np.dtype("uint8")  # type: ignore179    bit_width: int = 8180###############################################################################181# float182###############################################################################183_float_equivalents = _build_number_equivalents(184    builtin_name="float",185    pandera_name="Float",186    sizes=[128, 64, 32, 16] if FLOAT_128_AVAILABLE else [64, 32, 16],187)188if FLOAT_128_AVAILABLE:189    # not supported in windows:190    # https://github.com/winpython/winpython/issues/613191    #192    # or Mac M1:193    # https://github.com/pandera-dev/pandera/issues/623194    @Engine.register_dtype(equivalents=_float_equivalents[128])195    @immutable196    class Float128(DataType, dtypes.Float128):197        type = np.dtype("float128")198        bit_width: int = 128199    @Engine.register_dtype(equivalents=_float_equivalents[64])200    @immutable201    class Float64(Float128):202        type = np.dtype("float64")203        bit_width: int = 64204else:205    @Engine.register_dtype(equivalents=_float_equivalents[64])206    @immutable207    class Float64(DataType, dtypes.Float64):  # type: ignore208        type = np.dtype("float64")209        bit_width: int = 64210@Engine.register_dtype(equivalents=_float_equivalents[32])211@immutable212class Float32(Float64):213    type = np.dtype("float32")  # type: ignore214    bit_width: int = 32215@Engine.register_dtype(equivalents=_float_equivalents[16])216@immutable217class Float16(Float32):218    type = np.dtype("float16")  # type: ignore219    bit_width: int = 16220###############################################################################221# complex222###############################################################################223_complex_equivalents = _build_number_equivalents(224    builtin_name="complex",225    pandera_name="Complex",226    sizes=[256, 128, 64] if FLOAT_128_AVAILABLE else [128, 64],227)228if FLOAT_128_AVAILABLE:229    # not supported in windows230    # https://github.com/winpython/winpython/issues/613231    @Engine.register_dtype(equivalents=_complex_equivalents[256])232    @immutable233    class Complex256(DataType, dtypes.Complex256):234        type = np.dtype("complex256")235        bit_width: int = 256236    @Engine.register_dtype(equivalents=_complex_equivalents[128])237    @immutable...

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