| import re | |
| from typing import List | |
| from .operators import FieldOperator | |
| class Split(FieldOperator): | |
| by: str | |
| def process_value(self, value: str) -> List[str]: | |
| return value.split(self.by) | |
| class RegexSplit(FieldOperator): | |
| by: str | |
| def process_value(self, value: str) -> List[str]: | |
| return re.split(self.by, value) | |
| class TokensSplit(FieldOperator): | |
| model: str | |
| _requirements_list = ["transformers"] | |
| def prepare(self): | |
| super().prepare() | |
| from transformers import AutoTokenizer | |
| self.tokenizer = AutoTokenizer.from_pretrained(self.model) | |
| def process_value(self, value: str) -> List[str]: | |
| return self.tokenizer.tokenize(value) | |
| class Join(FieldOperator): | |
| by: str | |
| def process_value(self, value: List[str]) -> str: | |
| return self.by.join(value) | |
| class Strip(FieldOperator): | |
| def process_value(self, value: str) -> str: | |
| return value.strip() | |
| class Replace(FieldOperator): | |
| old: str | |
| new: str | |
| def process_value(self, value: str) -> str: | |
| return value.replace(self.old, self.new) | |