Find matching expectations within _expectation_config.
        Args:
            expectation_type=None                : The name of the expectation type to be matched.
            column=None                          : The name of the column to be matched.
            expectation_kwargs=None              : A dictionary of kwargs to match against.

        Returns:
            A list of indexes for matching expectation objects.
            If there are no matches, the list will be empty.

def find_expectation_indexes(self,
                                 expectation_type=None,
                                 column=None,
                                 expectation_kwargs=None
                                 ):
        """Find matching expectations within _expectation_config.
        Args:
            expectation_type=None                : The name of the expectation type to be matched.
            column=None                          : The name of the column to be matched.
            expectation_kwargs=None              : A dictionary of kwargs to match against.

        Returns:
            A list of indexes for matching expectation objects.
            If there are no matches, the list will be empty.
        """
        if expectation_kwargs == None:
            expectation_kwargs = {}

        if "column" in expectation_kwargs and column != None and column != expectation_kwargs["column"]:
            raise ValueError("Conflicting column names in remove_expectation: %s and %s" % (
                column, expectation_kwargs["column"]))

        if column != None:
            expectation_kwargs["column"] = column

        match_indexes = []
        for i, exp in enumerate(self._expectations_config.expectations):
            if expectation_type == None or (expectation_type == exp['expectation_type']):
                # if column == None or ('column' not in exp['kwargs']) or (exp['kwargs']['column'] == column) or (exp['kwargs']['column']==:
                match = True

                for k, v in expectation_kwargs.items():
                    if k in exp['kwargs'] and exp['kwargs'][k] == v:
                        continue
                    else:
                        match = False

                if match:
                    match_indexes.append(i)

        return match_indexes