Current File : //proc/self/root/backups/router/usr/local/lib/python3.11/site-packages/bottleneck/slow/reduce.py
import warnings
import numpy as np
from numpy import nanmean, nansum
__all__ = [
"median",
"nanmedian",
"nansum",
"nanmean",
"nanvar",
"nanstd",
"nanmin",
"nanmax",
"nanargmin",
"nanargmax",
"ss",
"anynan",
"allnan",
]
def nanargmin(a, axis=None):
"Slow nanargmin function used for unaccelerated dtypes."
with warnings.catch_warnings():
warnings.simplefilter("ignore")
return np.nanargmin(a, axis=axis)
def nanargmax(a, axis=None):
"Slow nanargmax function used for unaccelerated dtypes."
with warnings.catch_warnings():
warnings.simplefilter("ignore")
return np.nanargmax(a, axis=axis)
def nanvar(a, axis=None, ddof=0):
"Slow nanvar function used for unaccelerated dtypes."
with warnings.catch_warnings():
warnings.simplefilter("ignore")
return np.nanvar(a, axis=axis, ddof=ddof)
def nanstd(a, axis=None, ddof=0):
"Slow nanstd function used for unaccelerated dtypes."
with warnings.catch_warnings():
warnings.simplefilter("ignore")
return np.nanstd(a, axis=axis, ddof=ddof)
def nanmin(a, axis=None):
"Slow nanmin function used for unaccelerated dtypes."
with warnings.catch_warnings():
warnings.simplefilter("ignore")
return np.nanmin(a, axis=axis)
def nanmax(a, axis=None):
"Slow nanmax function used for unaccelerated dtypes."
with warnings.catch_warnings():
warnings.simplefilter("ignore")
return np.nanmax(a, axis=axis)
def median(a, axis=None):
"Slow median function used for unaccelerated dtypes."
with warnings.catch_warnings():
warnings.simplefilter("ignore")
return np.median(a, axis=axis)
def nanmedian(a, axis=None):
"Slow nanmedian function used for unaccelerated dtypes."
with warnings.catch_warnings():
warnings.simplefilter("ignore")
return np.nanmedian(a, axis=axis)
def ss(a, axis=None):
"Slow sum of squares used for unaccelerated dtypes."
a = np.asarray(a)
y = np.multiply(a, a).sum(axis)
return y
def anynan(a, axis=None):
"Slow check for Nans used for unaccelerated dtypes."
return np.isnan(a).any(axis)
def allnan(a, axis=None):
"Slow check for all Nans used for unaccelerated dtypes."
return np.isnan(a).all(axis)
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