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fix: Replaced deprecated typing.Text with str (#30230)
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typing.Text is deprecated. Use str instead
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Sai-Suraj-27 authored Apr 15, 2024
1 parent f010786 commit b3595cf
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Showing 2 changed files with 9 additions and 9 deletions.
4 changes: 2 additions & 2 deletions examples/research_projects/tapex/wikisql_utils.py
Original file line number Diff line number Diff line change
Expand Up @@ -21,7 +21,7 @@

# The following script is adapted from the script of TaPas.
# Original: https://github.com/google-research/tapas/master/wikisql_utils.py
from typing import Any, List, Text
from typing import Any, List


EMPTY_ANSWER = "none"
Expand Down Expand Up @@ -114,7 +114,7 @@ class _Operator(enum.Enum):
class _Condition:
"""Represents an SQL where clauses (e.g A = "a" or B > 5)."""

column: Text
column: str
operator: _Operator
cmp_value: Any

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14 changes: 7 additions & 7 deletions src/transformers/models/tapas/tokenization_tapas.py
Original file line number Diff line number Diff line change
Expand Up @@ -24,7 +24,7 @@
import re
import unicodedata
from dataclasses import dataclass
from typing import Callable, Dict, Generator, List, Optional, Text, Tuple, Union
from typing import Callable, Dict, Generator, List, Optional, Tuple, Union

import numpy as np

Expand Down Expand Up @@ -70,19 +70,19 @@ class TokenCoordinates:

@dataclass
class TokenizedTable:
rows: List[List[List[Text]]]
rows: List[List[List[str]]]
selected_tokens: List[TokenCoordinates]


@dataclass(frozen=True)
class SerializedExample:
tokens: List[Text]
tokens: List[str]
column_ids: List[int]
row_ids: List[int]
segment_ids: List[int]


def _is_inner_wordpiece(token: Text):
def _is_inner_wordpiece(token: str):
return token.startswith("##")


Expand Down Expand Up @@ -2224,14 +2224,14 @@ class NumericValueSpan:

@dataclass
class Cell:
text: Text
text: str
numeric_value: Optional[NumericValue] = None


@dataclass
class Question:
original_text: Text # The original raw question string.
text: Text # The question string after normalization.
original_text: str # The original raw question string.
text: str # The question string after normalization.
numeric_spans: Optional[List[NumericValueSpan]] = None


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