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Name	Size	Permission	Date
include	[ DIR ]	drwxr-xr-x	2021-09-16 10:54
lib	[ DIR ]	drwxr-xr-x	2021-09-16 10:54
tests	[ DIR ]	drwxr-xr-x	2021-09-16 10:54
__init__.py	1.71 KB	-rw-r--r--	2013-04-07 01:04
__init__.pyc	1.96 KB	-rw-r--r--	2018-04-10 19:40
__init__.pyo	1.96 KB	-rw-r--r--	2018-04-10 19:40
_dotblas.so	23.57 KB	-rwxr-xr-x	2018-04-10 19:40
_dummy.so	6.74 KB	-rwxr-xr-x	2018-04-10 19:40
_internal.py	16.37 KB	-rw-r--r--	2013-04-07 01:04
_internal.pyc	14.11 KB	-rw-r--r--	2018-04-10 19:40
_internal.pyo	14.11 KB	-rw-r--r--	2018-04-10 19:40
_methods.py	3.75 KB	-rw-r--r--	2013-04-07 01:04
_methods.pyc	4.18 KB	-rw-r--r--	2018-04-10 19:40
_methods.pyo	4.18 KB	-rw-r--r--	2018-04-10 19:40
arrayprint.py	25.21 KB	-rw-r--r--	2013-04-07 01:04
arrayprint.pyc	22.85 KB	-rw-r--r--	2018-04-10 19:40
arrayprint.pyo	22.85 KB	-rw-r--r--	2018-04-10 19:40
defchararray.py	70.67 KB	-rw-r--r--	2013-04-07 01:04
defchararray.pyc	78.49 KB	-rw-r--r--	2018-04-10 19:40
defchararray.pyo	78.49 KB	-rw-r--r--	2018-04-10 19:40
fromnumeric.py	79.16 KB	-rw-r--r--	2013-04-07 01:04
fromnumeric.pyc	81.98 KB	-rw-r--r--	2018-04-10 19:40
fromnumeric.pyo	81.98 KB	-rw-r--r--	2018-04-10 19:40
function_base.py	5.34 KB	-rw-r--r--	2013-04-07 01:04
function_base.pyc	5.7 KB	-rw-r--r--	2018-04-10 19:40
function_base.pyo	5.7 KB	-rw-r--r--	2018-04-10 19:40
generate_numpy_api.py	7.24 KB	-rw-r--r--	2013-04-07 01:04
generate_numpy_api.pyc	6.92 KB	-rw-r--r--	2018-04-10 19:40
generate_numpy_api.pyo	6.92 KB	-rw-r--r--	2018-04-10 19:40
getlimits.py	9.15 KB	-rw-r--r--	2013-04-07 01:04
getlimits.pyc	10.45 KB	-rw-r--r--	2018-04-10 19:40
getlimits.pyo	10.45 KB	-rw-r--r--	2018-04-10 19:40
info.py	4.53 KB	-rw-r--r--	2013-04-07 01:04
info.pyc	4.69 KB	-rw-r--r--	2018-04-10 19:40
info.pyo	4.69 KB	-rw-r--r--	2018-04-10 19:40
machar.py	10.39 KB	-rw-r--r--	2013-04-07 01:04
machar.pyc	8.44 KB	-rw-r--r--	2018-04-10 19:40
machar.pyo	8.44 KB	-rw-r--r--	2018-04-10 19:40
memmap.py	9.64 KB	-rw-r--r--	2013-04-07 01:04
memmap.pyc	9.64 KB	-rw-r--r--	2018-04-10 19:40
memmap.pyo	9.64 KB	-rw-r--r--	2018-04-10 19:40
multiarray.so	1.25 MB	-rwxr-xr-x	2018-04-10 19:40
multiarray_tests.so	15.23 KB	-rwxr-xr-x	2018-04-10 19:40
numeric.py	72.78 KB	-rw-r--r--	2013-04-07 01:04
numeric.pyc	75.76 KB	-rw-r--r--	2018-04-10 19:40
numeric.pyo	75.76 KB	-rw-r--r--	2018-04-10 19:40
numerictypes.py	28.31 KB	-rw-r--r--	2013-04-07 01:04
numerictypes.pyc	26.95 KB	-rw-r--r--	2018-04-10 19:40
numerictypes.pyo	26.9 KB	-rw-r--r--	2018-04-10 19:40
records.py	26.37 KB	-rw-r--r--	2013-04-07 01:04
records.pyc	23.77 KB	-rw-r--r--	2018-04-10 19:40
records.pyo	23.77 KB	-rw-r--r--	2018-04-10 19:40
scalarmath.so	187.89 KB	-rwxr-xr-x	2018-04-10 19:40
scons_support.py	8.16 KB	-rw-r--r--	2013-04-07 01:04
scons_support.pyc	9.03 KB	-rw-r--r--	2018-04-10 19:40
scons_support.pyo	9.03 KB	-rw-r--r--	2018-04-10 19:40
setup.py	37.73 KB	-rw-r--r--	2018-04-10 19:39
setup.pyc	25.07 KB	-rw-r--r--	2018-04-10 19:40
setup.pyo	25.07 KB	-rw-r--r--	2018-04-10 19:40
setup_common.py	10.38 KB	-rw-r--r--	2013-04-07 01:04
setup_common.pyc	8.83 KB	-rw-r--r--	2018-04-10 19:40
setup_common.pyo	8.83 KB	-rw-r--r--	2018-04-10 19:40
setupscons.py	4.41 KB	-rw-r--r--	2013-04-07 01:04
setupscons.pyc	3.95 KB	-rw-r--r--	2018-04-10 19:40
setupscons.pyo	3.95 KB	-rw-r--r--	2018-04-10 19:40
shape_base.py	6.66 KB	-rw-r--r--	2013-04-07 01:04
shape_base.pyc	7.16 KB	-rw-r--r--	2018-04-10 19:40
shape_base.pyo	7.16 KB	-rw-r--r--	2018-04-10 19:40
umath.so	377.02 KB	-rwxr-xr-x	2018-04-10 19:40
umath_tests.so	15.26 KB	-rwxr-xr-x	2018-04-10 19:40

Rename

# Array methods which are called by the both the C-code for the method
# and the Python code for the NumPy-namespace function

from numpy.core import multiarray as mu
from numpy.core import umath as um
from numpy.core.numeric import asanyarray

def _amax(a, axis=None, out=None, keepdims=False):
    return um.maximum.reduce(a, axis=axis,
                            out=out, keepdims=keepdims)

def _amin(a, axis=None, out=None, keepdims=False):
    return um.minimum.reduce(a, axis=axis,
                            out=out, keepdims=keepdims)

def _sum(a, axis=None, dtype=None, out=None, keepdims=False):
    return um.add.reduce(a, axis=axis, dtype=dtype,
                            out=out, keepdims=keepdims)

def _prod(a, axis=None, dtype=None, out=None, keepdims=False):
    return um.multiply.reduce(a, axis=axis, dtype=dtype,
                            out=out, keepdims=keepdims)

def _any(a, axis=None, dtype=None, out=None, keepdims=False):
    return um.logical_or.reduce(a, axis=axis, dtype=dtype, out=out,
                                keepdims=keepdims)

def _all(a, axis=None, dtype=None, out=None, keepdims=False):
    return um.logical_and.reduce(a, axis=axis, dtype=dtype, out=out,
                                 keepdims=keepdims)

def _count_reduce_items(arr, axis):
    if axis is None:
        axis = tuple(xrange(arr.ndim))
    if not isinstance(axis, tuple):
        axis = (axis,)
    items = 1
    for ax in axis:
        items *= arr.shape[ax]
    return items

def _mean(a, axis=None, dtype=None, out=None, keepdims=False):
    arr = asanyarray(a)

# Upgrade bool, unsigned int, and int to float64
    if dtype is None and arr.dtype.kind in ['b','u','i']:
        ret = um.add.reduce(arr, axis=axis, dtype='f8',
                            out=out, keepdims=keepdims)
    else:
        ret = um.add.reduce(arr, axis=axis, dtype=dtype,
                            out=out, keepdims=keepdims)
    rcount = _count_reduce_items(arr, axis)
    if isinstance(ret, mu.ndarray):
        ret = um.true_divide(ret, rcount,
                        out=ret, casting='unsafe', subok=False)
    else:
        ret = ret / float(rcount)
    return ret

def _var(a, axis=None, dtype=None, out=None, ddof=0,
                            keepdims=False):
    arr = asanyarray(a)

# First compute the mean, saving 'rcount' for reuse later
    if dtype is None and arr.dtype.kind in ['b','u','i']:
        arrmean = um.add.reduce(arr, axis=axis, dtype='f8', keepdims=True)
    else:
        arrmean = um.add.reduce(arr, axis=axis, dtype=dtype, keepdims=True)
    rcount = _count_reduce_items(arr, axis)
    if isinstance(arrmean, mu.ndarray):
        arrmean = um.true_divide(arrmean, rcount,
                            out=arrmean, casting='unsafe', subok=False)
    else:
        arrmean = arrmean / float(rcount)

# arr - arrmean
    x = arr - arrmean

# (arr - arrmean) ** 2
    if arr.dtype.kind == 'c':
        x = um.multiply(x, um.conjugate(x), out=x).real
    else:
        x = um.multiply(x, x, out=x)

# add.reduce((arr - arrmean) ** 2, axis)
    ret = um.add.reduce(x, axis=axis, dtype=dtype, out=out, keepdims=keepdims)

# add.reduce((arr - arrmean) ** 2, axis) / (n - ddof)
    if not keepdims and isinstance(rcount, mu.ndarray):
        rcount = rcount.squeeze(axis=axis)
    rcount -= ddof
    if isinstance(ret, mu.ndarray):
        ret = um.true_divide(ret, rcount,
                        out=ret, casting='unsafe', subok=False)
    else:
        ret = ret / float(rcount)

return ret

def _std(a, axis=None, dtype=None, out=None, ddof=0, keepdims=False):
    ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
               keepdims=keepdims)

if isinstance(ret, mu.ndarray):
        ret = um.sqrt(ret, out=ret)
    else:
        ret = um.sqrt(ret)

return ret