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langchain[patch]: updated imports for output_parsers (#16059)

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Updated imports from `langchain` to `core` where it is possible
This commit is contained in:
Leonid Ganeline 2024-01-17 10:02:12 -08:00 committed by GitHub
parent 9e9ad9b0e9
commit 60b1bd02d7
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4 changed files with 7 additions and 7 deletions
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3
libs/langchain/langchain/output_parsers/datetime.py
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@ -4,8 +4,7 @@ from typing import List
from langchain_core.exceptions import OutputParserException
from langchain_core.output_parsers import BaseOutputParser
from langchain.utils import comma_list
from langchain_core.utils import comma_list
def _generate_random_datetime_strings(

3
libs/langchain/langchain/output_parsers/openai_functions.py
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@ -8,11 +8,10 @@ from langchain_core.output_parsers import (
BaseCumulativeTransformOutputParser,
BaseGenerationOutputParser,
)
from langchain_core.output_parsers.json import parse_partial_json
from langchain_core.outputs import ChatGeneration, Generation
from langchain_core.pydantic_v1 import BaseModel, root_validator
from langchain.output_parsers.json import parse_partial_json
class OutputFunctionsParser(BaseGenerationOutputParser[Any]):
"""Parse an output that is one of sets of values."""

6
libs/langchain/langchain/output_parsers/pandas_dataframe.py
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@ -1,11 +1,13 @@
import re
from typing import Any, Dict, List, Tuple, Union
from langchain_core.exceptions import OutputParserException
from langchain_core.output_parsers.base import BaseOutputParser
from langchain_core.pydantic_v1 import validator
from langchain.output_parsers.format_instructions import (
PANDAS_DATAFRAME_FORMAT_INSTRUCTIONS,
)
from langchain.pydantic_v1 import validator
from langchain.schema import BaseOutputParser, OutputParserException
class PandasDataFrameOutputParser(BaseOutputParser):

2
libs/langchain/langchain/output_parsers/structured.py
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@ -3,13 +3,13 @@ from __future__ import annotations
from typing import Any, List
from langchain_core.output_parsers import BaseOutputParser
from langchain_core.output_parsers.json import parse_and_check_json_markdown
from langchain_core.pydantic_v1 import BaseModel
from langchain.output_parsers.format_instructions import (
STRUCTURED_FORMAT_INSTRUCTIONS,
STRUCTURED_FORMAT_SIMPLE_INSTRUCTIONS,
)
from langchain.output_parsers.json import parse_and_check_json_markdown
line_template = '\t"{name}": {type} // {description}'