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|
import jax.numpy
import awkward as ak
import numbers
# Can't subclass jax.numpy.DeviceArray
# See https://github.com/google/jax/issues/4269#issuecomment-691402423
class JaxScalar:
def __init__(self, scalar):
self._value = scalar
@property
def value(self):
return self._value
def __getitem__(self, item):
return self._value.__getitem__(item)
def __item__(self):
return self._value.__item__()
def __str__(self):
return "JAXSCALAR " + str(self._value)
def __repr__(self):
return "JAXSCALAR " + repr(self._value)
def __format__(self, format_spec):
return "JAXSCALAR " + format(self._value, format_spec)
def __bytes__(self):
return bytes(self._value)
def _compops(self, op, other):
if isinstance(other, JaxScalar):
return op(other._value)
elif isinstance(other, numbers.Number):
return op(other)
elif hasattr(other, "shape") and other.shape == ():
return op(other)
else:
return NotImplemented
def __lt__(self, other):
return self._compops(self._value.__lt__, other)
def __le__(self, other):
return self._compops(self._value.__le__, other)
def __gt__(self, other):
return self._compops(self._value.__gt__, other)
def __ge__(self, other):
return self._compops(self._value.__ge__, other)
def __eq__(self, other):
return self._compops(self._value.__eq__, other)
def __ne__(self, other):
return self._compops(self._value.__ne__, other)
def __hash__(self):
return hash(self._value)
def __bool__(self):
return bool(self._value)
__slots__ = ["_value"]
def __len__(self):
raise TypeError("len() of unsized object")
def _binop(self, op, other):
if isinstance(other, JaxScalar):
return JaxScalar(op(other._value))
elif isinstance(other, numbers.Number):
return JaxScalar(op(other))
elif hasattr(other, "shape") and other.shape == ():
return JaxScalar(
getattr(other, op.__name__.replace("__", "__r", 1))(self._value)
)
else:
return NotImplemented
def __array__(self):
import numpy
return numpy.array(self._value)
def __add__(self, other):
return self._binop(self._value.__add__, other)
def __sub__(self, other):
return self._binop(self._value.__sub__, other)
def __mul__(self, other):
return self._binop(self._value.__mul__, other)
def __matmul__(self, other):
raise ValueError("Input operand 0 does not have enough dimensions ")
def __truediv__(self, other):
return self._binop(self._value.__truediv__, other)
def __floordiv__(self, other):
return self._binop(self._value.__floordiv__, other)
def __mod__(self, other):
return self._binop(self._value.__mod__, other)
def __divmod__(self, other):
return self._binop(self._value.__divmod__, other)
def __pow__(self, other):
return self._binop(self._value.__pow__, other)
def __lshift__(self, other):
return self._binop(self._value.__lshift__, other)
def __rshift__(self, other):
return self._binop(self._value.__rshift__, other)
def __and__(self, other):
return self._binop(self._value.__and__, other)
def __xor__(self, other):
return self._binop(self._value.__xor__, other)
def __or__(self, other):
return self._binop(self._value.__or__, other)
def _rbinop(self, op, other):
if isinstance(other, JaxScalar):
return JaxScalar(op(other._value))
elif isinstance(other, numbers.Number):
return JaxScalar(op(other))
elif hasattr(other, "shape") and other.shape == ():
return JaxScalar(
getattr(other, op.__name__.replace("__r", "__", 1))(self._value)
)
else:
return NotImplemented
def __radd__(self, other):
return self._binop(self._value.__radd__, other)
def __rsub__(self, other):
return self._binop(self._value.__rsub__, other)
def __rmul__(self, other):
return self._binop(self._value.__rmul__, other)
def __rmatmul__(self, other):
raise ValueError("Input operand 0 does not have enough dimensions ")
def __rtruediv__(self, other):
return self._binop(self._value.__rtruediv__, other)
def __rfloordiv__(self, other):
return self._binop(self._value.__rfloordiv__, other)
def __rmod__(self, other):
return self._binop(self._value.__rmod__, other)
def __rdivmod__(self, other):
return self._binop(self._value.__rdivmod__, other)
def __rpow__(self, other):
return self._binop(self._value.__rpow__, other)
def __rlshift__(self, other):
return self._binop(self._value.__rlshift__, other)
def __rrshift__(self, other):
return self._binop(self._value.__rrshift__, other)
def __rand__(self, other):
return self._binop(self._value.__rand__, other)
def __rxor__(self, other):
return self._binop(self._value.__rxor__, other)
def __ror__(self, other):
return self._binop(self._value.__ror__, other)
def __iadd__(self, other):
return self._binop(self._value.__iadd__, other)
def __isub__(self, other):
return self._binop(self._value.__isub__, other)
def __imul__(self, other):
return self._binop(self._value.__imul__, other)
def __imatmul__(self, other):
raise ValueError("Input operand 0 does not have enough dimensions ")
def __itruediv__(self, other):
return self._binop(self._value.__itruediv__, other)
def __ifloordiv__(self, other):
return self._binop(self._value.__ifloordiv__, other)
def __imod__(self, other):
return self._binop(self._value.__imod__, other)
def __idivmod__(self, other):
return self._binop(self._value.__idivmod__, other)
def __ipow__(self, other):
return self._binop(self._value.__ipow__, other)
def __ilshift__(self, other):
return self._binop(self._value.__ilshift__, other)
def __irshift__(self, other):
return self._binop(self._value.__irshift__, other)
def __iand__(self, other):
return self._binop(self._value.__iand__, other)
def __ixor__(self, other):
return self._binop(self._value.__ixor__, other)
def __ior__(self, other):
return self._binop(self._value.__ior__, other)
def __neg__(self):
return JaxScalar(-self._value)
def __pos__(self):
return JaxScalar(+self._value)
def __abs__(self):
return JaxScalar(abs(self._value))
def __invert__(self):
return JaxScalar(~self._value)
def __complex__(self):
return complex(self._value)
def __int__(self):
return int(self._value)
def __float__(self):
return float(self._value)
def __round__(self, n=None):
return round(self._value, n)
def __trunc__(self):
return self._value.__trunc__()
def __floor__(self):
return self._value.__floor__()
def __ceil__(self):
return self._value.__ceil__()
def __index__(self):
return self._value.__index__()
def _jax_flatten(self):
return ([self._value], None)
@classmethod
def jax_flatten(cls, array):
assert type(array) is cls
return array._jax_flatten()
@classmethod
def jax_unflatten(cls, aux_data, children):
assert len(children) == 1
return JaxScalar(children[0])
# view doesn't support subclasses
# https://docs.cupy.dev/en/stable/reference/generated/cupy.ndarray.html#cupy.ndarray.view
class CupyScalar:
def __init__(self, scalar):
self._value = scalar
@property
def value(self):
return self._value
def __str__(self):
return str(self._value)
def __repr__(self):
return repr(self._value)
def __format__(self, format_spec):
return format(self._value, format_spec)
def __bytes__(self):
return bytes(self._value)
def _compops(self, op, other):
if isinstance(other, CupyScalar):
return op(other._value)
elif isinstance(other, numbers.Number):
return op(other)
elif hasattr(other, "shape") and other.shape == ():
return op(other)
else:
return NotImplemented
def __lt__(self, other):
return self._compops(self._value.__lt__, other)
def __le__(self, other):
return self._compops(self._value.__le__, other)
def __gt__(self, other):
return self._compops(self._value.__gt__, other)
def __ge__(self, other):
return self._compops(self._value.__ge__, other)
def __eq__(self, other):
return self._compops(self._value.__eq__, other)
def __ne__(self, other):
return self._compops(self._value.__ne__, other)
def __hash__(self):
return hash(self._value)
def __bool__(self):
return bool(self._value)
__slots__ = ["_value"]
def __len__(self):
raise TypeError("len() of unsized object")
def _binop(self, op, other):
if isinstance(other, CupyScalar):
return CupyScalar(op(other._value))
elif isinstance(other, numbers.Number):
return CupyScalar(op(other))
elif hasattr(other, "shape") and other.shape == ():
return CupyScalar(
getattr(other, op.__name__.replace("__", "__r", 1))(self._value)
)
else:
return NotImplemented
def __array__(self):
import numpy
return numpy.array(self._value)
def __add__(self, other):
return self._binop(self._value.__add__, other)
def __sub__(self, other):
return self._binop(self._value.__sub__, other)
def __mul__(self, other):
return self._binop(self._value.__mul__, other)
def __matmul__(self, other):
raise ValueError("Input operand 0 does not have enough dimensions ")
def __truediv__(self, other):
return self._binop(self._value.__truediv__, other)
def __floordiv__(self, other):
return self._binop(self._value.__floordiv__, other)
def __mod__(self, other):
return self._binop(self._value.__mod__, other)
def __divmod__(self, other):
return self._binop(self._value.__divmod__, other)
def __pow__(self, other):
return self._binop(self._value.__pow__, other)
def __lshift__(self, other):
return self._binop(self._value.__lshift__, other)
def __rshift__(self, other):
return self._binop(self._value.__rshift__, other)
def __and__(self, other):
return self._binop(self._value.__and__, other)
def __xor__(self, other):
return self._binop(self._value.__xor__, other)
def __or__(self, other):
return self._binop(self._value.__or__, other)
def _rbinop(self, op, other):
if isinstance(other, CupyScalar):
return CupyScalar(op(other._value))
elif isinstance(other, numbers.Number):
return CupyScalar(op(other))
elif hasattr(other, "shape") and other.shape == ():
return CupyScalar(
getattr(other, op.__name__.replace("__r", "__", 1))(self._value)
)
else:
return NotImplemented
def __radd__(self, other):
return self._binop(self._value.__radd__, other)
def __rsub__(self, other):
return self._binop(self._value.__rsub__, other)
def __rmul__(self, other):
return self._binop(self._value.__rmul__, other)
def __rmatmul__(self, other):
raise ValueError("Input operand 0 does not have enough dimensions ")
def __rtruediv__(self, other):
return self._binop(self._value.__rtruediv__, other)
def __rfloordiv__(self, other):
return self._binop(self._value.__rfloordiv__, other)
def __rmod__(self, other):
return self._binop(self._value.__rmod__, other)
def __rdivmod__(self, other):
return self._binop(self._value.__rdivmod__, other)
def __rpow__(self, other):
return self._binop(self._value.__rpow__, other)
def __rlshift__(self, other):
return self._binop(self._value.__rlshift__, other)
def __rrshift__(self, other):
return self._binop(self._value.__rrshift__, other)
def __rand__(self, other):
return self._binop(self._value.__rand__, other)
def __rxor__(self, other):
return self._binop(self._value.__rxor__, other)
def __ror__(self, other):
return self._binop(self._value.__ror__, other)
def __iadd__(self, other):
return self._binop(self._value.__iadd__, other)
def __isub__(self, other):
return self._binop(self._value.__isub__, other)
def __imul__(self, other):
return self._binop(self._value.__imul__, other)
def __imatmul__(self, other):
raise ValueError("Input operand 0 does not have enough dimensions ")
def __itruediv__(self, other):
return self._binop(self._value.__itruediv__, other)
def __ifloordiv__(self, other):
return self._binop(self._value.__ifloordiv__, other)
def __imod__(self, other):
return self._binop(self._value.__imod__, other)
def __idivmod__(self, other):
return self._binop(self._value.__idivmod__, other)
def __ipow__(self, other):
return self._binop(self._value.__ipow__, other)
def __ilshift__(self, other):
return self._binop(self._value.__ilshift__, other)
def __irshift__(self, other):
return self._binop(self._value.__irshift__, other)
def __iand__(self, other):
return self._binop(self._value.__iand__, other)
def __ixor__(self, other):
return self._binop(self._value.__ixor__, other)
def __ior__(self, other):
return self._binop(self._value.__ior__, other)
def __neg__(self):
return CupyScalar(-self._value)
def __pos__(self):
return CupyScalar(+self._value)
def __abs__(self):
return CupyScalar(abs(self._value))
def __invert__(self):
return CupyScalar(~self._value)
def __complex__(self):
return complex(self._value)
def __int__(self):
return int(self._value)
def __float__(self):
return float(self._value)
def __round__(self, n=None):
return round(self._value, n)
def __trunc__(self):
return self._value.__trunc__()
def __floor__(self):
return self._value.__floor__()
def __ceil__(self):
return self._value.__ceil__()
def __index__(self):
return self._value.__index__()
# Numpy Scalars are perfectly compatible with all Numpy Functions
import numpy as np
class NumpyScalar(np.ndarray):
def __new__(cls, value):
return np.array(value).view(NumpyScalar)
def __init__(self, scalar):
self._value = np.array(scalar)
|
