e870ef14c590502fb0dc5ff3199e2602a87ec008,ner_v1/detectors/numeral/budget/budget_detection.py,BudgetDetector,_detect_max_budget,#BudgetDetector#Any#Any#,226

Before Change

                "type": BUDGET_TYPE_NORMAL
            }

            if any([unit in pattern[3] for unit in self.unit_present_list]):
                comma_removed_unit_text = pattern[3].replace(",", "")
                amount = int(self.regex_object.unit_substitute(comma_removed_unit_text))
            else:

After Change

                             self._budget_pattern +
                             r")(?:\b|\.|\s)", flags=re.UNICODE | re.IGNORECASE)

        for match in pattern.finditer(self.processed_text):
            original, amount, unit = match.groups()

            budget = {
                "min_budget": 0,
                "max_budget": 0,
                "type": BUDGET_TYPE_NORMAL
            }

            scale = self.get_scale(unit)

            if amount.replace(",", "").replace(".", "").isdigit():
                amount = float(amount.replace(",", "")) * scale

                amount = int(amount)  // casting to int for backward compatibility
                if self.min_digit <= len(str(amount)) <= self.max_digit:
                    budget["max_budget"] = amount
                    budget_list.append(budget)
                    original_list.append(original.strip())

        return budget_list, original_list

    def _detect_min_max_budget(self, budget_list=None, original_list=None):
        Detects both minimum and maximum budget from text using regex

Instances