1 files changed, 82 insertions, 0 deletions
diff --git a/numpy/oldnumeric/arrayfns.py b/numpy/oldnumeric/arrayfns.py
new file mode 100644
index 000000000..0a065bd2a
--- /dev/null
+++ b/numpy/oldnumeric/arrayfns.py
@@ -0,0 +1,82 @@
+"""Backward compatible with arrayfns from Numeric
+"""
+
+__all__ = ['array_set', 'construct3', 'digitize', 'error', 'find_mask', 'histogram', 'index_sort',
+           'interp', 'nz', 'reverse', 'span', 'to_corners', 'zmin_zmax']
+
+import numpy as nx
+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, 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
+
+def construct3(mask, itype):
+    raise NotImplementedError
+
+from numpy import digitize
+
+def find_mask(fs, node_edges):
+    raise NotImplementedError
+
+def histogram(lst, weight=None):
+    raise NotImplementedError
+
+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 = numpy.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=nx.ubyte)
+    if x.ndim != 1:
+        raise TypeError, "intput must have 1 dimension."
+    indxs = nx.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 = nx.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 = linspace(lo, hi, num)
+    if d2 <= 0
+        return x
+    else:
+        ret = empty((d2,num),x.dtype)
+        ret[...] = x
+        return ret
+
+def to_corners(arr, nv, nvsum):
+    raise NotImplementedError
+
+def zmin_zmax(z, ireg):
+    raise NotImplementedError
+