o
`_
library.
2. SIMD related information is derived from ``__cpu_features__``,
``__cpu_baseline__`` and ``__cpu_dispatch__``
Examples
--------
>>> import numpy as np
>>> np.show_runtime()
[{'simd_extensions': {'baseline': ['SSE', 'SSE2', 'SSE3'],
'found': ['SSSE3',
'SSE41',
'POPCNT',
'SSE42',
'AVX',
'F16C',
'FMA3',
'AVX2'],
'not_found': ['AVX512F',
'AVX512CD',
'AVX512_KNL',
'AVX512_KNM',
'AVX512_SKX',
'AVX512_CLX',
'AVX512_CNL',
'AVX512_ICL']}},
{'architecture': 'Zen',
'filepath': '/usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.20.so',
'internal_api': 'openblas',
'num_threads': 12,
'prefix': 'libopenblas',
'threading_layer': 'pthreads',
'user_api': 'blas',
'version': '0.3.20'}]
r __cpu_features____cpu_baseline____cpu_dispatch__)pprintsimd_extensions)baselinefound not_found)threadpool_infozWARNING: `threadpoolctl` not found in system! Install it by `pip install threadpoolctl`. Once installed, try `np.show_runtime` again for more detailed build informationN) numpy.core._multiarray_umathr r r r append
threadpoolctlr extend ImportErrorprint) r r r r config_foundfeatures_foundfeatures_not_foundfeaturer r' \/var/www/html/HyperOracle/crypto_trader/venv/lib/python3.10/site-packages/numpy/lib/utils.pyr s, /
r c C sX ddl } | jdu rtjtj| jdd}|S ddlm} tjtj|jd}|S )a
Return the directory that contains the NumPy \*.h header files.
Extension modules that need to compile against NumPy should use this
function to locate the appropriate include directory.
Notes
-----
When using ``distutils``, for example in ``setup.py``::
import numpy as np
...
Extension('extension_name', ...
include_dirs=[np.get_include()])
...
r Ncoreinclude) numpy show_configospathjoindirname__file__
numpy.corer) )r+ dr) r' r' r( r a s
r c @ s" e Zd ZdZdddZdd ZdS )
_Deprecatez
Decorator class to deprecate old functions.
Refer to `deprecate` for details.
See Also
--------
deprecate
Nc C s || _ || _|| _d S N)old_namenew_namemessage)selfr6 r7 r8 r' r' r( __init__ s
z_Deprecate.__init__c
s2 | j }| j}| j}|du rj}|du rd| nd||f |dur) d| 7 t fdd}||_j}|du rB }nR| d} t | dd }
| d
r^|
d | }n't | d d } | dd D ]} t | |
krv n | t | d 7 } ql|| d }t
d |
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Decorator call. Refer to ``decorate``.
Nz`%s` is deprecated!z%`%s` is deprecated, use `%s` instead!
c s t j tdd | i |S )N )
stacklevel)warningswarnDeprecationWarning)argskwdsdepdocfuncr' r( newfunc s z$_Deprecate.__call__..newfunc r z
)r6 r7 r8 __name__ functoolswraps__doc__
expandtabssplit _get_indentlstriplentextwrapindentr/ )
r9 rE rA kwargsr6 r7 r8 rF doclinesrS skipliner' rC r( __call__ s@
z_Deprecate.__call__)NNN)rI
__module__ __qualname__rL r: rY r' r' r' r( r4 ~ s
r4 c C sD t j}| D ]}t| }|rt|t|| }q|t jkr d}|S )zU
Determines the leading whitespace that could be removed from all the lines.
r )sysmaxsizerQ rP min)rV rS rX contentr' r' r( rO s
rO c O s8 | r| d }| dd } t | i ||S t | i |S )a
Issues a DeprecationWarning, adds warning to `old_name`'s
docstring, rebinds ``old_name.__name__`` and returns the new
function object.
This function may also be used as a decorator.
Parameters
----------
func : function
The function to be deprecated.
old_name : str, optional
The name of the function to be deprecated. Default is None, in
which case the name of `func` is used.
new_name : str, optional
The new name for the function. Default is None, in which case the
deprecation message is that `old_name` is deprecated. If given, the
deprecation message is that `old_name` is deprecated and `new_name`
should be used instead.
message : str, optional
Additional explanation of the deprecation. Displayed in the
docstring after the warning.
Returns
-------
old_func : function
The deprecated function.
Examples
--------
Note that ``olduint`` returns a value after printing Deprecation
Warning:
>>> olduint = np.deprecate(np.uint)
DeprecationWarning: `uint64` is deprecated! # may vary
>>> olduint(6)
6
r rG Nr4 )rA rT fnr' r' r( r s
, r c C s
t | dS )a
Deprecates a function and includes the deprecation in its docstring.
This function is used as a decorator. It returns an object that can be
used to issue a DeprecationWarning, by passing the to-be decorated
function as argument, this adds warning to the to-be decorated function's
docstring and returns the new function object.
See Also
--------
deprecate : Decorate a function such that it issues a `DeprecationWarning`
Parameters
----------
msg : str
Additional explanation of the deprecation. Displayed in the
docstring after the warning.
Returns
-------
obj : object
)r8 r` )msgr' r' r( r
s
r
c
C s | j }|d d }|d }|d }t| jj}| }}|du r*|| j| 7 }||fS t||D ]\}} | dk r@||d | 7 }q/||d | 7 }q/||7 }||fS )a#
Returns pointers to the end-points of an array.
Parameters
----------
a : ndarray
Input array. It must conform to the Python-side of the array
interface.
Returns
-------
(low, high) : tuple of 2 integers
The first integer is the first byte of the array, the second
integer is just past the last byte of the array. If `a` is not
contiguous it will not use every byte between the (`low`, `high`)
values.
Examples
--------
>>> I = np.eye(2, dtype='f'); I.dtype
dtype('float32')
>>> low, high = np.byte_bounds(I)
>>> high - low == I.size*I.itemsize
True
>>> I = np.eye(2); I.dtype
dtype('float64')
>>> low, high = np.byte_bounds(I)
>>> high - low == I.size*I.itemsize
True
datar stridesshapeNrG )__array_interface__r dtypeitemsizesizezip)
aaia_dataastridesashapebytes_aa_lowa_highre strider' r' r( r $ s r c
C s | du r t j}|j} g }i }| D ]D}t| | trX| | }t|}|| v r6|d|| }d}n|||< |}d}dt t
|j } t
|j }
|
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|jj|g qd} d} d}
d}|D ]8}| t|d k rst|d } | t|d k rt|d } |
t|d k rt|d }
|d r|t|d 7 }qct|dkrtd| }td| }td|
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d |D ]5}td|d d
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Print the NumPy arrays in the given dictionary.
If there is no dictionary passed in or `vardict` is None then returns
NumPy arrays in the globals() dictionary (all NumPy arrays in the
namespace).
Parameters
----------
vardict : dict, optional
A dictionary possibly containing ndarrays. Default is globals().
Returns
-------
out : None
Returns 'None'.
Notes
-----
Prints out the name, shape, bytes and type of all of the ndarrays
present in `vardict`.
Examples
--------
>>> a = np.arange(10)
>>> b = np.ones(20)
>>> np.who()
Name Shape Bytes Type
===========================================================
a 10 80 int64
b 20 160 float64
Upper bound on total bytes = 240
>>> d = {'x': np.arange(2.0), 'y': np.arange(3.0), 'txt': 'Some str',
... 'idx':5}
>>> np.who(d)
Name Shape Bytes Type
===========================================================
x 2 16 float64
y 3 24 float64
Upper bound on total bytes = 40
Nz (%s)r rG z x r<
z Name %s Shape %s Bytes %s TyperH r; = z%s %s %s %s %s %s %s z'
Upper bound on total bytes = %d)r\ _getframef_back f_globalskeys
isinstancer idr/ mapstrre nbytesr rg namerQ intmaxr" )vardictframestacacher varidvnamestroriginalshapestrbytestrmaxnamemaxshapemaxbyte
totalbytesvalsp1sp2sp3prvalr' r' r( r ] sb ,
r c
C s t | }|}| }d}||}|D ]4}||krd} n|} |t | t | }||kr?|d t | }|d d|d | }q|| | }q|S )Nz, rG z,
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r r+ c C s t | t t g } | j| ji}| jg}| jg} t|dkr# ||fS |d}| D ]&}t|| t j
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__import__globalslocalsrI __dict__rQ popr| r} types
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r c
C s d}d}dd }t | dt| }t |d|}| j}| jj}|du r$tj}td||d td | j|d td
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|d tdt| jjj|f |d tdd|d |dv rtd|tj|f |d d} n#|dkrtd||f |d tjdk} ntd||f |d tjdk} td|| |d td | j |d dS ) aO Provide information about ndarray obj.
Parameters
----------
obj : ndarray
Must be ndarray, not checked.
output
Where printed output goes.
Notes
-----
Copied over from the numarray module prior to its removal.
Adapted somewhat as only numpy is an option now.
Called by info.
r c S s | S r5 r' )r r' r' r( s z_info.. __class__rI Nzclass: filezshape: z strides: z
itemsize: z aligned: z contiguous: z fortran: zdata pointer: %s%sz byteorder: rH )endr )|rv z%s%s%sF>z%sbig%sbigz
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byteswap: ztype: %s)getattrtyperd rg byteorderr\ stdoutr" re rh flagsaligned
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objoutputextraticbpclsnmrd endianbyteswapr' r' r( _info s>
r L c C sT ddl }ddl}t| dst| dr| j} nt| dr | j} |du r%tj}| du r/tt dS t| t r>> np.info(np.polyval) # doctest: +SKIP
polyval(p, x)
Evaluate the polynomial p at x.
...
When using a string for `object` it is possible to get multiple results.
>>> np.info('fft') # doctest: +SKIP
*** Found in numpy ***
Core FFT routines
...
*** Found in numpy.fft ***
fft(a, n=None, axis=-1)
...
*** Repeat reference found in numpy.fft.fftpack ***
*** Total of 3 references found. ***
r N_ppimport_importer_ppimport_module_ppimport_attr)r z+
*** Repeat reference found in %s *** r z *** Found in %s ***-rG zHelp for %s not found.z+
*** Total of %d references found. ***z()rH r; r: c S s g | ]
}|d dkr|qS )r _r' ).0methr' r' r(
s zinfo..z
Methods:
Nonez %s -- %srL ) pydocinspecthasattrr r r\ r r r} r r r _namedictr _dictlistr~ r" r KeyError
isfunctionismethodrI signature ExceptionrQ r getdocisclassr:
allmethodsr splitdoc)objectmaxwidthr toplevelr r numfoundobjlistr r r r argstrdoc1methodspublic_methodsr thisobjmethstrotherr' r' r( r & s 5
r c C sX ddl }ztd|| |d t|| |d W dS ty+ td|d Y dS w )a
Print or write to a file the source code for a NumPy object.
The source code is only returned for objects written in Python. Many
functions and classes are defined in C and will therefore not return
useful information.
Parameters
----------
object : numpy object
Input object. This can be any object (function, class, module,
...).
output : file object, optional
If `output` not supplied then source code is printed to screen
(sys.stdout). File object must be created with either write 'w' or
append 'a' modes.
See Also
--------
lookfor, info
Examples
--------
>>> np.source(np.interp) #doctest: +SKIP
In file: /usr/lib/python2.6/dist-packages/numpy/lib/function_base.py
def interp(x, xp, fp, left=None, right=None):
""".... (full docstring printed)"""
if isinstance(x, (float, int, number)):
return compiled_interp([x], xp, fp, left, right).item()
else:
return compiled_interp(x, xp, fp, left, right)
The source code is only returned for objects written in Python.
>>> np.source(np.array) #doctest: +SKIP
Not available for this object.
r Nz In file: %s
r z Not available for this object.)r r"
getsourcefile getsourcer )r r r r' r' r( r
s ) r
z[a-z0-9_]+\(.*[,=].*\)TFc s ddl }t||| g }t| sdS D ] \}\}} }
| dv r(q | tfddD r<|| q dddddfd d
fd d } |j| d
dd } | dt
| g}
|ddd D ]=} | \} }dd dD }z|d }t
|r|d }W n ty d}Y nw |
d||f qn|s|
d |dur|d |
dS t
|
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dS td |
dS )a
Do a keyword search on docstrings.
A list of objects that matched the search is displayed,
sorted by relevance. All given keywords need to be found in the
docstring for it to be returned as a result, but the order does
not matter.
Parameters
----------
what : str
String containing words to look for.
module : str or list, optional
Name of module(s) whose docstrings to go through.
import_modules : bool, optional
Whether to import sub-modules in packages. Default is True.
regenerate : bool, optional
Whether to re-generate the docstring cache. Default is False.
output : file-like, optional
File-like object to write the output to. If omitted, use a pager.
See Also
--------
source, info
Notes
-----
Relevance is determined only roughly, by checking if the keywords occur
in the function name, at the start of a docstring, etc.
Examples
--------
>>> np.lookfor('binary representation') # doctest: +SKIP
Search results for 'binary representation'
------------------------------------------
numpy.binary_repr
Return the binary representation of the input number as a string.
numpy.core.setup_common.long_double_representation
Given a binary dump as given by GNU od -b, look for long double
numpy.base_repr
Return a string representation of a number in the given base system.
...
r N)r r c 3 s | ]}| v V qd S r5 r' r w)rU r' r( 7 s zlookfor..i )rE classr r c s d}d | dd d |t fddD 7 }|tfddD 7 }|t d 7 }||d7 }|d d
7 }|t| d d 7 }|S )
Nr r; rx c g | ]}| v rd qS ) r' r ) first_docr' r( r E z.lookfor..relevance..c r ) r' r )r r' r( r G r rw r .ru d i) r/ lowerstriprN sumrQ getcountr )r docstrkindindexr)kind_relevancewhats)r r r( relevanceA s zlookfor..relevancec s | g | R S r5 r' )rk )r r r' r( relevance_valueQ s z lookfor..relevance_value)keyzSearch results for '%s'rH r c S s g | ]
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%szNothing found.ru )r _lookfor_generate_cacher r rN itemsallr sortr/ rQ r _function_signature_research
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r r s help_textixdoclinesr pagerr' )r rU r
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C s ddl }ddlm} | du rd} t| tr-zt| W n ty& i Y S w tj| } n t| t s7t| t
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|f W |t_ |t_ n|t_ |t_ w W q t y t y Y qw qt | D ]f\}}zt!|dd|
|f }t!|dd}W n t"yL d|
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Generate docstring cache for given module.
Parameters
----------
module : str, None, module
Module for which to generate docstring cache
import_modules : bool
Whether to import sub-modules in packages.
regenerate : bool
Re-generate the docstring cache
Returns
-------
cache : dict {obj_full_name: (docstring, kind, index), ...}
Docstring cache for the module, either cached one (regenerate=False)
or newly generated.
r N)StringIOr+ TrG r r __path__z __init__.pyz.pyr: z%s.%srI rZ r r rY rE )(r ior% r} r r r! r\ moduleslisttupleupdater r~ _lookfor_cachesrI r ismodule__all__AttributeErrorr r& r- listdirr. r/ isfileendswithr stderrKeyboardInterrupt
BaseException _getmembersr NameError
startswithr r r r )r r r r r% r modseenr stackr itemr
_allpthmod_paththis_pyinit_py to_import
old_stdout
old_stderrnv item_namemod_namerU r' r' r( r s s
Wr c sD dd l }z| }W |S ty! fddt D }Y |S w )Nr c s$ g | ]}t |r|t |fqS r' )r r )r r r= r' r( r s z _getmembers..)r
getmembersr dir)r= r membersr' rJ r( r7 s r7 c C s ddl }|| S )au
Protected string evaluation.
Evaluate a string containing a Python literal expression without
allowing the execution of arbitrary non-literal code.
.. warning::
This function is identical to :py:meth:`ast.literal_eval` and
has the same security implications. It may not always be safe
to evaluate large input strings.
Parameters
----------
source : str
The string to evaluate.
Returns
-------
obj : object
The result of evaluating `source`.
Raises
------
SyntaxError
If the code has invalid Python syntax, or if it contains
non-literal code.
Examples
--------
>>> np.safe_eval('1')
1
>>> np.safe_eval('[1, 2, 3]')
[1, 2, 3]
>>> np.safe_eval('{"foo": ("bar", 10.0)}')
{'foo': ('bar', 10.0)}
>>> np.safe_eval('import os')
Traceback (most recent call last):
...
SyntaxError: invalid syntax
>>> np.safe_eval('open("/home/user/.ssh/id_dsa").read()')
Traceback (most recent call last):
...
ValueError: malformed node or string: <_ast.Call object at 0x...>
r N)ast literal_eval)r
rN r' r' r( r s 2
r c C sr | j dkr|S t| jd|d}tj|r |d}t| dkr7t |tj
r2| j tj
S tj
||< |S )a{
Utility function to check median result from data for NaN values at the end
and return NaN in that case. Input result can also be a MaskedArray.
Parameters
----------
data : array
Sorted input data to median function
result : Array or MaskedArray
Result of median function.
axis : int
Axis along which the median was computed.
Returns
-------
result : scalar or ndarray
Median or NaN in axes which contained NaN in the input. If the input
was an array, NaN will be inserted in-place. If a scalar, either the
input itself or a scalar NaN.
r r )axisF)ri npisnantakema
isMaskedArrayfilled
count_nonzeroravelr} genericrg r nan)rc resultrP rF r' r' r( _median_nancheck> s
r\ c C sr ddl m} m}m} t|dkrt|dkrdS d|}|D ]}| | r.|d| d7 }q |d| d7 }q |S )a
Returns a string contains the supported CPU features by the current build.
The string format can be explained as follows:
- dispatched features that are supported by the running machine
end with `*`.
- dispatched features that are "not" supported by the running machine
end with `?`.
- remained features are representing the baseline.
r r r rH *?)r r r r rQ r/ )r r r enabled_featuresr& r' r' r( _opt_infob s
r` r5 )r+ )Nr Nr+ )NTFN).r- r\ rR r rer> rJ numpy.core.numerictypesr r r numpy.core.overridesr r2 r r r r+ rQ r/ r r r4 rO r r
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