human
Give me a the Python program you requested given the following:
Complete the below
def expect_dtypes(__funcname=_qualified_name, **named):

    ''''Preprocessing decorator that verifies inputs have expected numpy dtypes.
    Examples
    >>> from numpy import dtype, arange, int8, float64
    >>> @expect_dtypes(x=dtype(int8))
    ... def foo(x, y):
    ...    return x, y
    >>> foo(arange(3, dtype=int8), \'foo\')
    (array([0, 1, 2], dtype=int8), \'foo\')
    >>> foo(arange(3, dtype=float64), \'foo\')  # doctest: +NORMALIZE_WHITESPACE
    ...                                       # doctest: +ELLIPSIS
    Traceback (most recent call last):
    TypeError: ...foo() expected a value with dtype \'int8\' for argument \'x\',
    but got \'float64\' instead.'
    '''
assistant
#Here is the Python program you requested.
    for (name, type_) in iteritems(named):
        if (not isinstance(type_, (dtype, tuple))):
            raise TypeError('expect_dtypes()    expected    a    numpy    dtype    or    tuple    of    dtypes    for    argument    {name!r},    but    got    {dtype}    instead.'.format(name=name, dtype=dtype))
    if isinstance(__funcname, str):
        def get_funcname(_):
            return __funcname
    else:
        get_funcname = __funcname
    @preprocess(dtypes=call((lambda x: (x if isinstance(x, tuple) else (x,)))))
    def _expect_dtype(dtypes):
        '\n                                Factory    for    dtype-checking    functions    that    work    with    the    @preprocess\n                                decorator.\n                                '
        def error_message(func, argname, value):
            try:
                value_to_show = value.dtype.name
            except AttributeError:
                value_to_show = value
            return '{funcname}()    expected    a    value    with    dtype    {dtype_str}    for    argument    {argname!r},    but    got    {value!r}    instead.'.format(funcname=get_funcname(func), dtype_str='    or    '.join((repr(d.name) for d in dtypes)), argname=argname, value=value_to_show)
        def _actual_preprocessor(func, argname, argvalue):
            if (getattr(argvalue, 'dtype', object()) not in dtypes):
                raise TypeError(error_message(func, argname, argvalue))
            return argvalue
        return _actual_preprocessor
    return preprocess(**valmap(_expect_dtype, named))