    def debug_decisions(self, text):
        """
        Classifies candidate periods as sentence breaks, yielding a dict for
        each that may be used to understand why the decision was made.

        See format_debug_decision() to help make this output readable.
        """

        for match, decision_text in self._match_potential_end_contexts(text):
            tokens = self._tokenize_words(decision_text)
            tokens = list(self._annotate_first_pass(tokens))
            while tokens and not tokens[0].tok.endswith(self._lang_vars.sent_end_chars):
                tokens.pop(0)
            yield {
                "period_index": match.end() - 1,
                "text": decision_text,
                "type1": tokens[0].type,
                "type2": tokens[1].type,
                "type1_in_abbrs": bool(tokens[0].abbr),
                "type1_is_initial": bool(tokens[0].is_initial),
                "type2_is_sent_starter": tokens[1].type_no_sentperiod
                in self._params.sent_starters,
                "type2_ortho_heuristic": self._ortho_heuristic(tokens[1]),
                "type2_ortho_contexts": set(
                    self._params._debug_ortho_context(tokens[1].type_no_sentperiod)
                ),
                "collocation": (
                    tokens[0].type_no_sentperiod,
                    tokens[1].type_no_sentperiod,
                )
                in self._params.collocations,
                "reason": self._second_pass_annotation(tokens[0], tokens[1])
                or REASON_DEFAULT_DECISION,
                "break_decision": tokens[0].sentbreak,
            }
The software does not properly control the allocation and maintenance of a limited resource, thereby enabling an actor to influence the amount of resources consumed, eventually leading to the exhaustion of available resources.