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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 min(self):
 """Returns the minimum representable value in this data type. Raises: TypeError: if this is a non-numeric, unordered, or quantized type. """

        if self.is_quantized or self.base_dtype in (
            bool,
            string,
            complex64,
            complex128,
        ):
            raise TypeError("Cannot find minimum value of %s." % self)

        # there is no simple way to get the min value of a dtype, we have to check
        # float and int types separately
        try:
            return np.finfo(self.as_numpy_dtype()).min
        except:  # bare except as possible raises by finfo not documented
            try:
                return np.iinfo(self.as_numpy_dtype()).min
            except:
                if self.base_dtype == bfloat16:
                    return _np_bfloat16(float.fromhex("-0x1.FEp127"))
                raise TypeError("Cannot find minimum value of %s." % self)