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d | | S )a Return the value for the smallest subnormal.
Returns
-------
smallest_subnormal : float
value for the smallest subnormal.
Warns
-----
UserWarning
If the calculated value for the smallest subnormal is zero.
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value : float
value to be converted.
)r r: rM s r r, zMachArLike._float_to_float[ s D$$U++,,,r c . t |g| j S )zConverts float to conv.
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value to be converted.
)r r* rM s r r: zMachArLike._float_conve s eWdj)))r c n | j d t t | d | j z S )zConverts float to str.
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value : float
value to be converted.
fmtr )r) r r r* rM s r r< zMachArLike._float_to_stro s, {5!E$u++a.$*$E$EEEr ) __name__
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a Get MachAr instance or MachAr-like instance
Get parameters for floating point type, by first trying signatures of
various known floating point types, then, if none match, attempting to
identify parameters by analysis.
Parameters
----------
ftype : class
Numpy floating point type class (e.g. ``np.float64``)
Returns
-------
ma_like : instance of :class:`MachAr` or :class:`MachArLike`
Object giving floating point parameters for `ftype`.
Warns
-----
UserWarning
If the binary signature of the float type is not in the dictionary of
known float types.
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TODO: MachAr should be retired completely ideally. We currently only
ever use it system with broken longdouble (valgrind, WSL).
c & t | g S r_ )r r r* s r z$_discovered_machar..s s E1#u - - r c ` t | d d S )Nr& r )r astype)r r) s r r z$_discovered_machar..t s$ 4 9 9::1= r c J t t | d S )Nr r r r s r r z$_discovered_machar..u s 5aU33 r c \ d t t | d z S )NrU r r )r r* r) s r r z$_discovered_machar..v s$ F5ME$q''!*e,D,D D r r# )r( r )r* r) s `@r r r l s\ E
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finfo(dtype)
Machine limits for floating point types.
Attributes
----------
bits : int
The number of bits occupied by the type.
dtype : dtype
Returns the dtype for which `finfo` returns information. For complex
input, the returned dtype is the associated ``float*`` dtype for its
real and complex components.
eps : float
The difference between 1.0 and the next smallest representable float
larger than 1.0. For example, for 64-bit binary floats in the IEEE-754
standard, ``eps = 2**-52``, approximately 2.22e-16.
epsneg : float
The difference between 1.0 and the next smallest representable float
less than 1.0. For example, for 64-bit binary floats in the IEEE-754
standard, ``epsneg = 2**-53``, approximately 1.11e-16.
iexp : int
The number of bits in the exponent portion of the floating point
representation.
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
An alias for `smallest_normal`, kept for backwards compatibility.
smallest_normal : float
The smallest positive floating point number with 1 as leading bit in
the mantissa following IEEE-754 (see Notes).
smallest_subnormal : float
The smallest positive floating point number with 0 as leading bit in
the mantissa following IEEE-754.
Parameters
----------
dtype : float, dtype, or instance
Kind of floating point or complex floating point
data-type about which to get information.
See Also
--------
iinfo : The equivalent for integer data types.
spacing : The distance between a value and the nearest adjacent number
nextafter : The next floating point value after x1 towards x2
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.
Note that ``smallest_normal`` is not actually the smallest positive
representable value in a NumPy floating point type. As in the IEEE-754
standard [1]_, NumPy floating point types make use of subnormal numbers to
fill the gap between 0 and ``smallest_normal``. However, subnormal numbers
may have significantly reduced precision [2]_.
This function can also be used for complex data types as well. If used,
the output will be the same as the corresponding real float type
(e.g. numpy.finfo(numpy.csingle) is the same as numpy.finfo(numpy.single)).
However, the output is true for the real and imaginary components.
References
----------
.. [1] IEEE Standard for Floating-Point Arithmetic, IEEE Std 754-2008,
pp.1-70, 2008, http://www.doi.org/10.1109/IEEESTD.2008.4610935
.. [2] Wikipedia, "Denormal Numbers",
https://en.wikipedia.org/wiki/Denormal_number
Examples
--------
>>> np.finfo(np.float64).dtype
dtype('float64')
>>> np.finfo(np.complex64).dtype
dtype('float32')
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---------------------------------------------------------------
precision = %(precision)3s resolution = %(_str_resolution)s
machep = %(machep)6s eps = %(_str_eps)s
negep = %(negep)6s epsneg = %(_str_epsneg)s
minexp = %(minexp)6s tiny = %(_str_tiny)s
maxexp = %(maxexp)6s max = %(_str_max)s
nexp = %(nexp)6s min = -max
smallest_normal = %(_str_smallest_normal)s smallest_subnormal = %(_str_smallest_subnormal)s
---------------------------------------------------------------
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P T]""r c ` | j j }| j }||d< d|z S )NklasszZ%(klass)s(resolution=%(resolution)s, min=-%(_str_max)s, max=%(_str_max)s, dtype=%(dtype)s)) __class__rV r6 r )rC cds r __repr__zfinfo.__repr__F s: N # M '
7:;< =r c t | j j j d r t j dt d | j j j d S )a7 Return the value for the smallest normal.
Returns
-------
smallest_normal : float
Value for the smallest normal.
Warns
-----
UserWarning
If the calculated value for the smallest normal is requested for
double-double.
r z;The value of smallest normal is undefined for double doubler rG )r r r3 r rI rJ rL rP s r r3 zfinfo.smallest_normalM sW " -215 6 6 + MM
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+ |+033r c | j S )aQ Return the value for tiny, alias of smallest_normal.
Returns
-------
tiny : float
Value for the smallest normal, alias of smallest_normal.
Warns
-----
UserWarning
If the calculated value for the smallest normal is requested for
double-double.
)r3 rP s r r4 z
finfo.tinyd s
##r N) rV rW rX rY r r r r r rZ r3 r4 r r r r r z s d dL L6 6 6p 4# # # = = = 4 4 X4, $ $ X$ $ $r c X e Zd ZdZi Zi Zd Zed Zed Z d Z
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iinfo(type)
Machine limits for integer types.
Attributes
----------
bits : int
The number of bits occupied by the type.
dtype : dtype
Returns the dtype for which `iinfo` returns information.
min : int
The smallest integer expressible by the type.
max : int
The largest integer expressible by the type.
Parameters
----------
int_type : integer type, dtype, or instance
The kind of integer data type to get information about.
See Also
--------
finfo : The equivalent for floating point data types.
Examples
--------
With types:
>>> ii16 = np.iinfo(np.int16)
>>> ii16.min
-32768
>>> ii16.max
32767
>>> ii32 = np.iinfo(np.int32)
>>> ii32.min
-2147483648
>>> ii32.max
2147483647
With instances:
>>> ii32 = np.iinfo(np.int32(10))
>>> ii32.min
-2147483648
>>> ii32.max
2147483647
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s A!A>=A>c 6 d}|| j | j | j dz S )zString representation.zMachine parameters for %(dtype)s
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