Gecko [ fernandoquevedodop.com ]

Name	Size	Permission
__pycache__	[ DIR ]	drwxr-xr-x
include	[ DIR ]	drwxr-xr-x
lib	[ DIR ]	drwxr-xr-x
tests	[ DIR ]	drwxr-xr-x
__init__.py	5.24 KB	-rw-r--r--
__init__.pyi	126 B	-rw-r--r--
_add_newdocs.py	187.41 KB	-rw-r--r--
_add_newdocs_scalars.py	8.59 KB	-rw-r--r--
_asarray.py	4.08 KB	-rw-r--r--
_asarray.pyi	1.89 KB	-rw-r--r--
_dtype.py	9.61 KB	-rw-r--r--
_dtype_ctypes.py	3.59 KB	-rw-r--r--
_exceptions.py	5.99 KB	-rw-r--r--
_internal.py	26.73 KB	-rw-r--r--
_internal.pyi	1.34 KB	-rw-r--r--
_methods.py	10.54 KB	-rw-r--r--
_multiarray_tests.cpython-310-...	122.6 KB	-rw-r--r--
_multiarray_umath.cpython-310-...	3.63 MB	-rw-r--r--
_operand_flag_tests.cpython-31...	14.2 KB	-rw-r--r--
_rational_tests.cpython-310-x8...	43.46 KB	-rw-r--r--
_simd.cpython-310-x86_64-linux...	1.91 MB	-rw-r--r--
_string_helpers.py	2.79 KB	-rw-r--r--
_struct_ufunc_tests.cpython-31...	14.38 KB	-rw-r--r--
_type_aliases.py	7.1 KB	-rw-r--r--
_type_aliases.pyi	520 B	-rw-r--r--
_ufunc_config.py	13.07 KB	-rw-r--r--
_ufunc_config.pyi	1.22 KB	-rw-r--r--
_umath_tests.cpython-310-x86_6...	34.8 KB	-rw-r--r--
arrayprint.py	60.18 KB	-rw-r--r--
arrayprint.pyi	4.56 KB	-rw-r--r--
cversions.py	347 B	-rw-r--r--
defchararray.py	68.1 KB	-rw-r--r--
einsumfunc.py	50.24 KB	-rw-r--r--
einsumfunc.pyi	3.62 KB	-rw-r--r--
fromnumeric.py	119.9 KB	-rw-r--r--
fromnumeric.pyi	7.83 KB	-rw-r--r--
function_base.py	18.57 KB	-rw-r--r--
function_base.pyi	1.44 KB	-rw-r--r--
generate_numpy_api.py	6.94 KB	-rw-r--r--
getlimits.py	19.31 KB	-rw-r--r--
machar.py	10.56 KB	-rw-r--r--
memmap.py	11.41 KB	-rw-r--r--
multiarray.py	54.01 KB	-rw-r--r--
numeric.py	74.93 KB	-rw-r--r--
numeric.pyi	4.76 KB	-rw-r--r--
numerictypes.py	16.91 KB	-rw-r--r--
numerictypes.pyi	2.85 KB	-rw-r--r--
overrides.py	7.94 KB	-rw-r--r--
records.py	36.58 KB	-rw-r--r--
setup.py	44.62 KB	-rw-r--r--
setup_common.py	19.31 KB	-rw-r--r--
shape_base.py	28.32 KB	-rw-r--r--
shape_base.pyi	1.04 KB	-rw-r--r--
umath.py	1.99 KB	-rw-r--r--
umath_tests.py	389 B	-rw-r--r--

Code Editor : _exceptions.py

"""
Various richly-typed exceptions, that also help us deal with string formatting
in python where it's easier.

By putting the formatting in `__str__`, we also avoid paying the cost for
users who silence the exceptions.
"""
from numpy.core.overrides import set_module

def _unpack_tuple(tup):
    if len(tup) == 1:
        return tup[0]
    else:
        return tup

def _display_as_base(cls):
    """
    A decorator that makes an exception class look like its base.

We use this to hide subclasses that are implementation details - the user
    should catch the base type, which is what the traceback will show them.

Classes decorated with this decorator are subject to removal without a
    deprecation warning.
    """
    assert issubclass(cls, Exception)
    cls.__name__ = cls.__base__.__name__
    return cls

class UFuncTypeError(TypeError):
    """ Base class for all ufunc exceptions """
    def __init__(self, ufunc):
        self.ufunc = ufunc

@_display_as_base
class _UFuncBinaryResolutionError(UFuncTypeError):
    """ Thrown when a binary resolution fails """
    def __init__(self, ufunc, dtypes):
        super().__init__(ufunc)
        self.dtypes = tuple(dtypes)
        assert len(self.dtypes) == 2

def __str__(self):
        return (
            "ufunc {!r} cannot use operands with types {!r} and {!r}"
        ).format(
            self.ufunc.__name__, *self.dtypes
        )

@_display_as_base
class _UFuncNoLoopError(UFuncTypeError):
    """ Thrown when a ufunc loop cannot be found """
    def __init__(self, ufunc, dtypes):
        super().__init__(ufunc)
        self.dtypes = tuple(dtypes)

def __str__(self):
        return (
            "ufunc {!r} did not contain a loop with signature matching types "
            "{!r} -> {!r}"
        ).format(
            self.ufunc.__name__,
            _unpack_tuple(self.dtypes[:self.ufunc.nin]),
            _unpack_tuple(self.dtypes[self.ufunc.nin:])
        )

@_display_as_base
class _UFuncCastingError(UFuncTypeError):
    def __init__(self, ufunc, casting, from_, to):
        super().__init__(ufunc)
        self.casting = casting
        self.from_ = from_
        self.to = to

@_display_as_base
class _UFuncInputCastingError(_UFuncCastingError):
    """ Thrown when a ufunc input cannot be casted """
    def __init__(self, ufunc, casting, from_, to, i):
        super().__init__(ufunc, casting, from_, to)
        self.in_i = i

def __str__(self):
        # only show the number if more than one input exists
        i_str = "{} ".format(self.in_i) if self.ufunc.nin != 1 else ""
        return (
            "Cannot cast ufunc {!r} input {}from {!r} to {!r} with casting "
            "rule {!r}"
        ).format(
            self.ufunc.__name__, i_str, self.from_, self.to, self.casting
        )

@_display_as_base
class _UFuncOutputCastingError(_UFuncCastingError):
    """ Thrown when a ufunc output cannot be casted """
    def __init__(self, ufunc, casting, from_, to, i):
        super().__init__(ufunc, casting, from_, to)
        self.out_i = i

def __str__(self):
        # only show the number if more than one output exists
        i_str = "{} ".format(self.out_i) if self.ufunc.nout != 1 else ""
        return (
            "Cannot cast ufunc {!r} output {}from {!r} to {!r} with casting "
            "rule {!r}"
        ).format(
            self.ufunc.__name__, i_str, self.from_, self.to, self.casting
        )

# Exception used in shares_memory()
@set_module('numpy')
class TooHardError(RuntimeError):
    pass

@set_module('numpy')
class AxisError(ValueError, IndexError):
    """ Axis supplied was invalid. """
    def __init__(self, axis, ndim=None, msg_prefix=None):
        # single-argument form just delegates to base class
        if ndim is None and msg_prefix is None:
            msg = axis

# do the string formatting here, to save work in the C code
        else:
            msg = ("axis {} is out of bounds for array of dimension {}"
                   .format(axis, ndim))
            if msg_prefix is not None:
                msg = "{}: {}".format(msg_prefix, msg)

super().__init__(msg)

@_display_as_base
class _ArrayMemoryError(MemoryError):
    """ Thrown when an array cannot be allocated"""
    def __init__(self, shape, dtype):
        self.shape = shape
        self.dtype = dtype

@property
    def _total_size(self):
        num_bytes = self.dtype.itemsize
        for dim in self.shape:
            num_bytes *= dim
        return num_bytes

@staticmethod
    def _size_to_string(num_bytes):
        """ Convert a number of bytes into a binary size string """

# https://en.wikipedia.org/wiki/Binary_prefix
        LOG2_STEP = 10
        STEP = 1024
        units = ['bytes', 'KiB', 'MiB', 'GiB', 'TiB', 'PiB', 'EiB']

unit_i = max(num_bytes.bit_length() - 1, 1) // LOG2_STEP
        unit_val = 1 << (unit_i * LOG2_STEP)
        n_units = num_bytes / unit_val
        del unit_val

# ensure we pick a unit that is correct after rounding
        if round(n_units) == STEP:
            unit_i += 1
            n_units /= STEP

# deal with sizes so large that we don't have units for them
        if unit_i >= len(units):
            new_unit_i = len(units) - 1
            n_units *= 1 << ((unit_i - new_unit_i) * LOG2_STEP)
            unit_i = new_unit_i

unit_name = units[unit_i]
        # format with a sensible number of digits
        if unit_i == 0:
            # no decimal point on bytes
            return '{:.0f} {}'.format(n_units, unit_name)
        elif round(n_units) < 1000:
            # 3 significant figures, if none are dropped to the left of the .
            return '{:#.3g} {}'.format(n_units, unit_name)
        else:
            # just give all the digits otherwise
            return '{:#.0f} {}'.format(n_units, unit_name)

def __str__(self):
        size_str = self._size_to_string(self._total_size)
        return (
            "Unable to allocate {} for an array with shape {} and data type {}"
            .format(size_str, self.shape, self.dtype)
        )

${this.title}

Code Editor : _exceptions.py