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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 element_of(self, choices):
 """ Construct a Filter indicating whether values are in ``choices``. Parameters choices : iterable[str or int] An iterable of choices. Returns ------- matches : Filter Filter returning True for all sid/date pairs for which ``self`` produces an entry in ``choices``. """

        try:
            choices = frozenset(choices)
        except Exception as e:
            raise TypeError(
                "Expected `choices` to be an iterable of hashable values,"
                " but got {} instead.\n"
                "This caused the following error: {!r}.".format(choices, e)
            )

        if self.missing_value in choices:
            raise ValueError(
                "Found self.missing_value ({mv!r}) in choices supplied to"
                " {typename}.{meth_name}().\n"
                "Missing values have NaN semantics, so the"
                " requested comparison would always produce False.\n"
                "Use the isnull() method to check for missing values.\n"
                "Received choices were {choices}.".format(
                    mv=self.missing_value,
                    typename=(type(self).__name__),
                    choices=sorted(choices),
                    meth_name=self.element_of.__name__,
                )
            )

        def only_contains(type_, values):
            return all(isinstance(v, type_) for v in values)

        if self.dtype == int64_dtype:
            if only_contains(int, choices):
                return ArrayPredicate(
                    term=self,
                    op=vectorized_is_element,
                    opargs=(choices,),
                )
            else:
                raise TypeError(
                    "Found non-int in choices for {typename}.element_of.\n"
                    "Supplied choices were {choices}.".format(
                        typename=type(self).__name__,
                        choices=choices,
                    )
                )
        elif self.dtype == categorical_dtype:
            if only_contains((bytes, unicode), choices):
                return ArrayPredicate(
                    term=self,
                    op=LabelArray.element_of,
                    opargs=(choices,),
                )
            else:
                raise TypeError(
                    "Found non-string in choices for {typename}.element_of.\n"
                    "Supplied choices were {choices}.".format(
                        typename=type(self).__name__,
                        choices=choices,
                    )
                )
        assert False, "Unknown dtype in Classifier.element_of %s." % self.dtype