1 files changed, 0 insertions, 65 deletions
diff --git a/numpy/matlib.py b/numpy/matlib.py
deleted file mode 100644
index cfc61f4f6..000000000
--- a/numpy/matlib.py
+++ /dev/null
@@ -1,65 +0,0 @@
-from numpy.core.defmatrix import matrix, asmatrix
-from numpy import ndarray, array
-import numpy as N
-from numpy import *
-
-__version__ = N.__version__
-
-__all__ = N.__all__[:] # copy numpy namespace
-__all__ += ['rand', 'randn', 'repmat']
-
-def empty(shape, dtype=None, order='C'):
-    """return an empty matrix of the given shape
-    """
-    return ndarray.__new__(matrix, shape, dtype, order=order)
-
-def ones(shape, dtype=None, order='C'):
-    """return a matrix initialized to all ones
-    """
-    a = ndarray.__new__(matrix, shape, dtype, order=order)
-    a.fill(1)
-    return a
-
-def zeros(shape, dtype=None, order='C'):
-    """return a matrix initialized to all zeros
-    """
-    a = ndarray.__new__(matrix, shape, dtype, order=order)
-    a.fill(0)
-    return a
-
-def identity(n,dtype=None):
-    """identity(n) returns the identity matrix of shape n x n.
-    """
-    a = array([1]+n*[0],dtype=dtype)
-    b = empty((n,n),dtype=dtype)
-    b.flat = a
-    return b
-
-def eye(n,M=None, k=0, dtype=float):
-    return asmatrix(N.eye(n,M,k,dtype))
-
-def rand(*args):
-    if isinstance(args[0], tuple):
-        args = args[0]
-    return asmatrix(N.random.rand(*args))
-
-def randn(*args):
-    if isinstance(args[0], tuple):
-        args = args[0]
-    return asmatrix(N.random.randn(*args))
-
-def repmat(a, m, n):
-    """Repeat a 0-d to 2-d array mxn times
-    """
-    a = asanyarray(a)
-    ndim = a.ndim
-    if ndim == 0:
-        origrows, origcols = (1,1)
-    elif ndim == 1:
-        origrows, origcols = (1, a.shape[0])
-    else:
-        origrows, origcols = a.shape
-    rows = origrows * m
-    cols = origcols * n
-    c = a.reshape(1,a.size).repeat(m, 0).reshape(rows, origcols).repeat(n,0)
-    return c.reshape(rows, cols)