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

              _types.StringType, _types.UnicodeType, _types.BufferType]
ScalarType.extend(_sctype2char_dict.keys())
ScalarType = tuple(ScalarType)
for key in _sctype2char_dict.keys():
    cast[key] = lambda x, k=key : array(x, copy=False).astype(k)


_unicodesize = array('u','U1').itemsize

# Create the typestring lookup dictionary
_typestr = _typedict()
for key in _sctype2char_dict.keys():
    if issubclass(key, allTypes['flexible']):
        _typestr[key] = _sctype2char_dict[key]
    else:
        _typestr[key] = empty((1,),key).dtype.str[1:]

# Make sure all typestrings are in sctypeDict
for key, val in _typestr.items():
    if val not in sctypeDict:
        sctypeDict[val] = key

# Add additional strings to the sctypeDict

_toadd = ['int', 'float', 'complex', 'bool', 'object', 'string', ('str', allTypes['string_']),
          'unicode', 'object', ('a', allTypes['string_'])]

for name in _toadd:
    if isinstance(name, tuple):
        sctypeDict[name[0]] = name[1]
    else:

def empty(shape, typecode='l', dtype=None):
    dtype = convtypecode(typecode, dtype)
    return mu.empty(shape, dtype)