def __init__(self, size, dtype):
"""Initialize a new instance.
Parameters
----------
size : `int`
The number of dimensions of the space
dtype : `object`
The data type of the storage array. Can be provided in any
way the `numpy.dtype` function understands, most notably
as built-in type, as one of NumPy's internal datatype
objects or as string.
Only scalar data types (numbers) are allowed.
"""
NtuplesBase.__init__(self, size, dtype)
if not is_scalar_dtype(self.dtype):
raise TypeError('{!r} is not a scalar data type.'.format(dtype))
if is_real_dtype(self.dtype):
field = RealNumbers()
self._real_dtype = self.dtype
self._is_real = True
else:
field = ComplexNumbers()
self._real_dtype = _TYPE_MAP_C2R[self.dtype]
self._is_real = False
self._is_floating = is_floating_dtype(self.dtype)
LinearSpace.__init__(self, field)
def __init__(self, size, dtype):
"""Initialize a new instance.
Parameters
----------
size : non-negative int
Number of entries in a tuple.
dtype :
Data type for each tuple entry. Can be provided in any
way the `numpy.dtype` function understands, most notably
as built-in type, as one of NumPy's internal datatype
objects or as string.
Only scalar data types (numbers) are allowed.
"""
NtuplesBase.__init__(self, size, dtype)
if not is_scalar_dtype(self.dtype):
raise TypeError('{!r} is not a scalar data type'.format(dtype))
if is_real_dtype(self.dtype):
field = RealNumbers()
self.__is_real = True
self.__real_dtype = self.dtype
self.__real_space = self
try:
self.__complex_dtype = complex_dtype(self.dtype)
except ValueError:
self.__complex_dtype = None
self.__complex_space = None # Set in first call of astype
else:
field = ComplexNumbers()
self.__is_real = False
try:
self.__real_dtype = real_dtype(self.dtype)
except ValueError:
self.__real_dtype = None
self.__real_space = None # Set in first call of astype
self.__complex_dtype = self.dtype
self.__complex_space = self
self.__is_floating = is_floating_dtype(self.dtype)
LinearSpace.__init__(self, field)
def __init__(self, size, dtype):
"""Initialize a new instance.
Parameters
----------
size : `int`
The number of dimensions of the space
dtype : `object`
The data type of the storage array. Can be provided in any
way the `numpy.dtype` function understands, most notably
as built-in type, as one of NumPy's internal datatype
objects or as string.
Only scalar data types (numbers) are allowed.
"""
NtuplesBase.__init__(self, size, dtype)
if not is_scalar_dtype(self.dtype):
raise TypeError('{!r} is not a scalar data type'.format(dtype))
if is_real_dtype(self.dtype):
field = RealNumbers()
self._is_real = True
self._real_dtype = self.dtype
self._real_space = self
self._complex_dtype = _TYPE_MAP_R2C.get(self.dtype, None)
self._complex_space = None # Set in first call of astype
else:
field = ComplexNumbers()
self._is_real = False
self._real_dtype = _TYPE_MAP_C2R[self.dtype]
self._real_space = None # Set in first call of astype
self._complex_dtype = self.dtype
self._complex_space = self
self._is_floating = is_floating_dtype(self.dtype)
LinearSpace.__init__(self, field)
