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tests	[ DIR ]	drwxr-xr-x	2021-09-16 10:54
__init__.py	827 B	-rw-r--r--	2013-04-07 01:04
__init__.pyc	1022 B	-rw-r--r--	2018-04-10 19:40
__init__.pyo	1022 B	-rw-r--r--	2018-04-10 19:40
alter_code1.py	8.3 KB	-rw-r--r--	2013-04-07 01:04
alter_code1.pyc	9.49 KB	-rw-r--r--	2018-04-10 19:40
alter_code1.pyo	9.49 KB	-rw-r--r--	2018-04-10 19:40
alter_code2.py	4.53 KB	-rw-r--r--	2013-04-07 01:04
alter_code2.pyc	5.96 KB	-rw-r--r--	2018-04-10 19:40
alter_code2.pyo	5.96 KB	-rw-r--r--	2018-04-10 19:40
array_printer.py	456 B	-rw-r--r--	2013-04-07 01:04
array_printer.pyc	667 B	-rw-r--r--	2018-04-10 19:40
array_printer.pyo	667 B	-rw-r--r--	2018-04-10 19:40
arrayfns.py	2.47 KB	-rw-r--r--	2013-04-07 01:04
arrayfns.pyc	4.32 KB	-rw-r--r--	2018-04-10 19:40
arrayfns.pyo	4.32 KB	-rw-r--r--	2018-04-10 19:40
compat.py	3.11 KB	-rw-r--r--	2013-04-07 01:04
compat.pyc	4.88 KB	-rw-r--r--	2018-04-10 19:40
compat.pyo	4.88 KB	-rw-r--r--	2018-04-10 19:40
fft.py	869 B	-rw-r--r--	2013-04-07 01:04
fft.pyc	1.03 KB	-rw-r--r--	2018-04-10 19:40
fft.pyo	1.03 KB	-rw-r--r--	2018-04-10 19:40
fix_default_axis.py	7.85 KB	-rw-r--r--	2013-04-07 01:04
fix_default_axis.pyc	7.68 KB	-rw-r--r--	2018-04-10 19:40
fix_default_axis.pyo	7.68 KB	-rw-r--r--	2018-04-10 19:40
functions.py	3.55 KB	-rw-r--r--	2013-04-07 01:04
functions.pyc	7.31 KB	-rw-r--r--	2018-04-10 19:40
functions.pyo	7.31 KB	-rw-r--r--	2018-04-10 19:40
linear_algebra.py	2.13 KB	-rw-r--r--	2013-04-07 01:04
linear_algebra.pyc	3.34 KB	-rw-r--r--	2018-04-10 19:40
linear_algebra.pyo	3.34 KB	-rw-r--r--	2018-04-10 19:40
ma.py	73.96 KB	-rw-r--r--	2013-04-07 01:04
ma.pyc	83.81 KB	-rw-r--r--	2018-04-10 19:40
ma.pyo	83.81 KB	-rw-r--r--	2018-04-10 19:40
matrix.py	1.57 KB	-rw-r--r--	2013-04-07 01:04
matrix.pyc	2.31 KB	-rw-r--r--	2018-04-10 19:40
matrix.pyo	2.31 KB	-rw-r--r--	2018-04-10 19:40
misc.py	1.14 KB	-rw-r--r--	2013-04-07 01:04
misc.pyc	1.53 KB	-rw-r--r--	2018-04-10 19:40
misc.pyo	1.53 KB	-rw-r--r--	2018-04-10 19:40
mlab.py	3.36 KB	-rw-r--r--	2013-04-07 01:04
mlab.pyc	5.32 KB	-rw-r--r--	2018-04-10 19:40
mlab.pyo	5.32 KB	-rw-r--r--	2018-04-10 19:40
precision.py	4.16 KB	-rw-r--r--	2013-04-07 01:04
precision.pyc	3.85 KB	-rw-r--r--	2018-04-10 19:40
precision.pyo	3.85 KB	-rw-r--r--	2018-04-10 19:40
random_array.py	11.18 KB	-rw-r--r--	2013-04-07 01:04
random_array.pyc	13.89 KB	-rw-r--r--	2018-04-10 19:40
random_array.pyo	13.89 KB	-rw-r--r--	2018-04-10 19:40
rng.py	3.67 KB	-rw-r--r--	2013-04-07 01:04
rng.pyc	6.74 KB	-rw-r--r--	2018-04-10 19:40
rng.pyo	6.74 KB	-rw-r--r--	2018-04-10 19:40
rng_stats.py	1.31 KB	-rw-r--r--	2013-04-07 01:04
rng_stats.pyc	1.83 KB	-rw-r--r--	2018-04-10 19:40
rng_stats.pyo	1.83 KB	-rw-r--r--	2018-04-10 19:40
setup.py	335 B	-rw-r--r--	2013-04-07 01:04
setup.pyc	664 B	-rw-r--r--	2018-04-10 19:40
setup.pyo	664 B	-rw-r--r--	2018-04-10 19:40
setupscons.py	282 B	-rw-r--r--	2013-04-07 01:04
setupscons.pyc	613 B	-rw-r--r--	2018-04-10 19:40
setupscons.pyo	613 B	-rw-r--r--	2018-04-10 19:40
typeconv.py	1.58 KB	-rw-r--r--	2013-04-07 01:04
typeconv.pyc	1.59 KB	-rw-r--r--	2018-04-10 19:40
typeconv.pyo	1.59 KB	-rw-r--r--	2018-04-10 19:40
ufuncs.py	1.2 KB	-rw-r--r--	2013-04-07 01:04
ufuncs.pyc	1.79 KB	-rw-r--r--	2018-04-10 19:40
ufuncs.pyo	1.79 KB	-rw-r--r--	2018-04-10 19:40
user_array.py	182 B	-rw-r--r--	2013-04-07 01:04
user_array.pyc	370 B	-rw-r--r--	2018-04-10 19:40
user_array.pyo	370 B	-rw-r--r--	2018-04-10 19:40

Rename

# Functions that should behave the same as Numeric and need changing

import numpy as np
import numpy.core.multiarray as mu
import numpy.core.numeric as nn
from typeconv import convtypecode, convtypecode2

__all__ = ['take', 'repeat', 'sum', 'product', 'sometrue', 'alltrue',
           'cumsum', 'cumproduct', 'compress', 'fromfunction',
           'ones', 'empty', 'identity', 'zeros', 'array', 'asarray',
           'nonzero', 'reshape', 'arange', 'fromstring', 'ravel', 'trace',
           'indices', 'where','sarray','cross_product', 'argmax', 'argmin',
           'average']

def take(a, indicies, axis=0):
    return np.take(a, indicies, axis)

def repeat(a, repeats, axis=0):
    return np.repeat(a, repeats, axis)

def sum(x, axis=0):
    return np.sum(x, axis)

def product(x, axis=0):
    return np.product(x, axis)

def sometrue(x, axis=0):
    return np.sometrue(x, axis)

def alltrue(x, axis=0):
    return np.alltrue(x, axis)

def cumsum(x, axis=0):
    return np.cumsum(x, axis)

def cumproduct(x, axis=0):
    return np.cumproduct(x, axis)

def argmax(x, axis=-1):
    return np.argmax(x, axis)

def argmin(x, axis=-1):
    return np.argmin(x, axis)

def compress(condition, m, axis=-1):
    return np.compress(condition, m, axis)

def fromfunction(args, dimensions):
    return np.fromfunction(args, dimensions, dtype=int)

def ones(shape, typecode='l', savespace=0, dtype=None):
    """ones(shape, dtype=int) returns an array of the given
    dimensions which is initialized to all ones.
    """
    dtype = convtypecode(typecode,dtype)
    a = mu.empty(shape, dtype)
    a.fill(1)
    return a

def zeros(shape, typecode='l', savespace=0, dtype=None):
    """zeros(shape, dtype=int) returns an array of the given
    dimensions which is initialized to all zeros
    """
    dtype = convtypecode(typecode,dtype)
    return mu.zeros(shape, dtype)

def identity(n,typecode='l', dtype=None):
    """identity(n) returns the identity 2-d array of shape n x n.
    """
    dtype = convtypecode(typecode, dtype)
    return nn.identity(n, dtype)

def empty(shape, typecode='l', dtype=None):
    dtype = convtypecode(typecode, dtype)
    return mu.empty(shape, dtype)

def array(sequence, typecode=None, copy=1, savespace=0, dtype=None):
    dtype = convtypecode2(typecode, dtype)
    return mu.array(sequence, dtype, copy=copy)

def sarray(a, typecode=None, copy=False, dtype=None):
    dtype = convtypecode2(typecode, dtype)
    return mu.array(a, dtype, copy)

def asarray(a, typecode=None, dtype=None):
    dtype = convtypecode2(typecode, dtype)
    return mu.array(a, dtype, copy=0)

def nonzero(a):
    res = np.nonzero(a)
    if len(res) == 1:
        return res[0]
    else:
        raise ValueError("Input argument must be 1d")

def reshape(a, shape):
    return np.reshape(a, shape)

def arange(start, stop=None, step=1, typecode=None, dtype=None):
    dtype = convtypecode2(typecode, dtype)
    return mu.arange(start, stop, step, dtype)

def fromstring(string, typecode='l', count=-1, dtype=None):
    dtype = convtypecode(typecode, dtype)
    return mu.fromstring(string, dtype, count=count)

def ravel(m):
    return np.ravel(m)

def trace(a, offset=0, axis1=0, axis2=1):
    return np.trace(a, offset=0, axis1=0, axis2=1)

def indices(dimensions, typecode=None, dtype=None):
    dtype = convtypecode(typecode, dtype)
    return np.indices(dimensions, dtype)

def where(condition, x, y):
    return np.where(condition, x, y)

def cross_product(a, b, axis1=-1, axis2=-1):
    return np.cross(a, b, axis1, axis2)

def average(a, axis=0, weights=None, returned=False):
    return np.average(a, axis, weights, returned)