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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def setup_coords(arr_names=None, sort=[], dims={}, **kwargs):
 """ Sets up the arr_names dictionary for the plot Parameters arr_names: string, list of strings or dictionary Set the unique array names of the resulting arrays and (optionally) dimensions. - if string: same as list of strings (see below). Strings may include {0} which will be replaced by a counter. - list of strings: those will be used for the array names. The final number of dictionaries in the return depend in this case on the `dims` and ``**furtherdims`` - dictionary: Then nothing happens and an :class:`OrderedDict` version of `arr_names` is returned. sort: list of strings This parameter defines how the dictionaries are ordered. It has no effect if `arr_names` is a dictionary (use a :class:`~collections.OrderedDict` for that). It can be a list of dimension strings matching to the dimensions in `dims` for the variable. dims: dict Keys must be variable names of dimensions (e.g. time, level, lat or lon) or 'name' for the variable name you want to choose. Values must be values of that dimension or iterables of the values (e.g. lists). Note that strings will be put into a list. For example dims = {'name': 't2m', 'time': 0} will result in one plot for the first time step, whereas dims = {'name': 't2m', 'time': [0, 1]} will result in two plots, one for the first (time == 0) and one for the second (time == 1) time step. ``**kwargs`` The same as `dims` (those will update what is specified in `dims`) Returns ------- ~collections.OrderedDict A mapping from the keys in `arr_names` and to dictionaries. Each dictionary corresponds defines the coordinates of one data array to load"""

    try:
        return OrderedDict(arr_names)
    except (ValueError, TypeError):
        # ValueError for cyordereddict, TypeError for collections.OrderedDict
        pass
    if arr_names is None:
        arr_names = repeat('arr{0}')
    elif isstring(arr_names):
        arr_names = repeat(arr_names)
    dims = OrderedDict(dims)
    for key, val in six.iteritems(kwargs):
        dims.setdefault(key, val)
    sorted_dims = OrderedDict()
    if sort:
        for key in sort:
            sorted_dims[key] = dims.pop(key)
        for key, val in six.iteritems(dims):
            sorted_dims[key] = val
    else:
        # make sure, it is first sorted for the variable names
        if 'name' in dims:
            sorted_dims['name'] = None
        for key, val in sorted(dims.items()):
            sorted_dims[key] = val
        for key, val in six.iteritems(kwargs):
            sorted_dims.setdefault(key, val)
    for key, val in six.iteritems(sorted_dims):
        sorted_dims[key] = iter(safe_list(val))
    return OrderedDict([
        (arr_name.format(i), dict(zip(sorted_dims.keys(), dim_tuple)))
        for i, (arr_name, dim_tuple) in enumerate(zip(
            arr_names, product(
                *map(list, sorted_dims.values()))))])