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getlimits.cpython-35.pyc
X��f�% � @ sm d Z d d l m Z m Z m Z d d g Z d d l m Z d d l m Z d d l m Z d d l m Z d d � Z e j e j e j e j e j e j i Z Gd d � d e � Z Gd d � d e � Z e d k rie e j � Z e d e j � e d e j � e e j � Z e d e j � e d e j � e e j � Z e d e j � e d e j � d S)zJMachine limits for Float32 and Float64 and (long double) if available... � )�division�absolute_import�print_function�finfo�iinfo� )�MachAr)�numeric)�numerictypes)�arrayc C s | j d k r d | _ | S)zfix rank-0 --> rank-1r r )r )�ndim�shape)�a� r � /getlimits.py�_frz s r c @ sL e Z d Z d Z i Z d d � Z d d � Z d d � Z d d � Z d S)r a. finfo(dtype) Machine limits for floating point types. Attributes ---------- eps : float The smallest representable positive number such that ``1.0 + eps != 1.0``. Type of `eps` is an appropriate floating point type. epsneg : floating point number of the appropriate type The smallest representable positive number such that ``1.0 - epsneg != 1.0``. iexp : int The number of bits in the exponent portion of the floating point representation. machar : MachAr The object which calculated these parameters and holds more detailed information. machep : int The exponent that yields `eps`. max : floating point number of the appropriate type The largest representable number. maxexp : int The smallest positive power of the base (2) that causes overflow. min : floating point number of the appropriate type The smallest representable number, typically ``-max``. minexp : int The most negative power of the base (2) consistent with there being no leading 0's in the mantissa. negep : int The exponent that yields `epsneg`. nexp : int The number of bits in the exponent including its sign and bias. nmant : int The number of bits in the mantissa. precision : int The approximate number of decimal digits to which this kind of float is precise. resolution : floating point number of the appropriate type The approximate decimal resolution of this type, i.e., ``10**-precision``. tiny : float The smallest positive usable number. Type of `tiny` is an appropriate floating point type. Parameters ---------- dtype : float, dtype, or instance Kind of floating point data-type about which to get information. See Also -------- MachAr : The implementation of the tests that produce this information. iinfo : The equivalent for integer data types. Notes ----- For developers of NumPy: do not instantiate this at the module level. The initial calculation of these parameters is expensive and negatively impacts import times. These objects are cached, so calling ``finfo()`` repeatedly inside your functions is not a problem. c C sz y t j | � } Wn'