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)