Branch numpy.distutils to distutils-revamp

1 files changed, 0 insertions, 66 deletions

diff --git a/numpy/dft/helper.py b/numpy/dft/helper.py
deleted file mode 100644
index 4e1da2abd..000000000
--- a/numpy/dft/helper.py
+++ /dev/null
@@ -1,66 +0,0 @@
-"""
-Discrete Fourier Transforms - helper.py
-"""
-# Created by Pearu Peterson, September 2002
-
-__all__ = ['fftshift','ifftshift','fftfreq']
-
-from numpy.core import asarray, concatenate, arange, take, \
-    array, integer
-import types
-
-def fftshift(x,axes=None):
-    """ fftshift(x, axes=None) -> y
-
-    Shift zero-frequency component to center of spectrum.
-
-    This function swaps half-spaces for all axes listed (defaults to all).
-
-    Notes:
-      If len(x) is even then the Nyquist component is y[0].
-    """
-    tmp = asarray(x)
-    ndim = len(tmp.shape)
-    if axes is None:
-        axes = range(ndim)
-    y = tmp
-    for k in axes:
-        n = tmp.shape[k]
-        p2 = (n+1)/2
-        mylist = concatenate((arange(p2,n),arange(p2)))
-        y = take(y,mylist,k)
-    return y
-
-
-def ifftshift(x,axes=None):
-    """ ifftshift(x,axes=None) - > y
-
-    Inverse of fftshift.
-    """
-    tmp = asarray(x)
-    ndim = len(tmp.shape)
-    if axes is None:
-        axes = range(ndim)
-    y = tmp
-    for k in axes:
-        n = tmp.shape[k]
-        p2 = n-(n+1)/2
-        mylist = concatenate((arange(p2,n),arange(p2)))
-        y = take(y,mylist,k)
-    return y
-
-def fftfreq(n,d=1.0):
-    """ fftfreq(n, d=1.0) -> f
-
-    DFT sample frequencies
-
-    The returned float array contains the frequency bins in
-    cycles/unit (with zero at the start) given a window length n and a
-    sample spacing d:
-
-      f = [0,1,...,n/2-1,-n/2,...,-1]/(d*n)         if n is even
-      f = [0,1,...,(n-1)/2,-(n-1)/2,...,-1]/(d*n)   if n is odd
-    """
-    assert isinstance(n,types.IntType) or isinstance(n, integer)
-    k = range(0,(n-1)/2+1)+range(-(n/2),0)
-    return array(k,'d')/(n*d)