From 3beebbc0164afbbcc2b6840cf56174c6c073bb40 Mon Sep 17 00:00:00 2001
From: Charles Harris <charlesr.harris@gmail.com>
Date: Sun, 18 Aug 2013 18:40:28 -0600
Subject: DEP: Remove deprecated modules numarray and oldnumeric.

They were deprecated in 1.8 and scheduled for removal in 1.9.

Closes #3637.
---
 numpy/oldnumeric/arrayfns.py | 99 --------------------------------------------
 1 file changed, 99 deletions(-)
 delete mode 100644 numpy/oldnumeric/arrayfns.py

(limited to 'numpy/oldnumeric/arrayfns.py')

diff --git a/numpy/oldnumeric/arrayfns.py b/numpy/oldnumeric/arrayfns.py
deleted file mode 100644
index 0eb97ae9c..000000000
--- a/numpy/oldnumeric/arrayfns.py
+++ /dev/null
@@ -1,99 +0,0 @@
-"""Backward compatible with arrayfns from Numeric.
-
-"""
-from __future__ import division, absolute_import, print_function
-
-__all__ = ['array_set', 'construct3', 'digitize', 'error', 'find_mask',
-           'histogram', 'index_sort', 'interp', 'nz', 'reverse', 'span',
-           'to_corners', 'zmin_zmax']
-
-import numpy as np
-from numpy import asarray
-
-class error(Exception):
-    pass
-
-def array_set(vals1, indices, vals2):
-    indices = asarray(indices)
-    if indices.ndim != 1:
-        raise ValueError("index array must be 1-d")
-    if not isinstance(vals1, np.ndarray):
-        raise TypeError("vals1 must be an ndarray")
-    vals1 = asarray(vals1)
-    vals2 = asarray(vals2)
-    if vals1.ndim != vals2.ndim or vals1.ndim < 1:
-        raise error("vals1 and vals2 must have same number of dimensions (>=1)")
-    vals1[indices] = vals2
-
-from numpy import digitize
-from numpy import bincount as histogram
-
-def index_sort(arr):
-    return asarray(arr).argsort(kind='heap')
-
-def interp(y, x, z, typ=None):
-    """y(z) interpolated by treating y(x) as piecewise function
-    """
-    res = np.interp(z, x, y)
-    if typ is None or typ == 'd':
-        return res
-    if typ == 'f':
-        return res.astype('f')
-
-    raise error("incompatible typecode")
-
-def nz(x):
-    x = asarray(x, dtype=np.ubyte)
-    if x.ndim != 1:
-        raise TypeError("intput must have 1 dimension.")
-    indxs = np.flatnonzero(x != 0)
-    return indxs[-1].item()+1
-
-def reverse(x, n):
-    x = asarray(x, dtype='d')
-    if x.ndim != 2:
-        raise ValueError("input must be 2-d")
-    y = np.empty_like(x)
-    if n == 0:
-        y[...] = x[::-1,:]
-    elif n == 1:
-        y[...] = x[:, ::-1]
-    return y
-
-def span(lo, hi, num, d2=0):
-    x = np.linspace(lo, hi, num)
-    if d2 <= 0:
-        return x
-    else:
-        ret = np.empty((d2, num), x.dtype)
-        ret[...] = x
-        return ret
-
-def zmin_zmax(z, ireg):
-    z = asarray(z, dtype=float)
-    ireg = asarray(ireg, dtype=int)
-    if z.shape != ireg.shape or z.ndim != 2:
-        raise ValueError("z and ireg must be the same shape and 2-d")
-    ix, iy = np.nonzero(ireg)
-    # Now, add more indices
-    x1m = ix - 1
-    y1m = iy-1
-    i1 = x1m>=0
-    i2 = y1m>=0
-    i3 = i1 & i2
-    nix = np.r_[ix, x1m[i1], x1m[i1], ix[i2] ]
-    niy = np.r_[iy, iy[i1],  y1m[i3], y1m[i2]]
-    # remove any negative indices
-    zres = z[nix, niy]
-    return zres.min().item(), zres.max().item()
-
-
-def find_mask(fs, node_edges):
-    raise NotImplementedError
-
-def to_corners(arr, nv, nvsum):
-    raise NotImplementedError
-
-
-def construct3(mask, itype):
-    raise NotImplementedError
-- 
cgit v1.2.1