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__all__ = ['ones', 'empty', 'identity', 'zeros']
import numpy.core.multiarray as mu
import numpy.core.numeric as nn
from typeconv import convtypecode
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, order)
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