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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 _variants_dtype(fields, dtypes, arities, filter_ids, flatten_filter, info_types):
 """Utility function to build a numpy dtype for a variants array, given user arguments and information available from VCF header."""

    dtype = list()
    for f, n, vcf_type in zip(fields, arities, info_types):
        if f == 'FILTER' and flatten_filter:
            # split FILTER into multiple boolean fields
            for flt in filter_ids:
                nm = 'FILTER_' + flt
                dtype.append((nm, 'b1'))
        elif f == 'FILTER' and not flatten_filter:
            # represent FILTER as a structured field
            t = [(flt, 'b1') for flt in filter_ids]
            dtype.append((f, t))
        else:
            if dtypes is not None and f in dtypes:
                # user overrides default dtype
                t = dtypes[f]
            elif f in config.STANDARD_VARIANT_FIELDS:
                t = config.DEFAULT_VARIANT_DTYPE[f]
            elif f in config.DEFAULT_INFO_DTYPE:
                # known INFO field
                t = config.DEFAULT_INFO_DTYPE[f]
            else:
                t = config.DEFAULT_TYPE_MAP[vcf_type]
            # deal with arity
            if n == 1:
                dtype.append((f, t))
            else:
                dtype.append((f, t, (n,)))
    return dtype