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langchain[patch]: Add missing type annotations (#24889)
Adds missing type annotations in preparation for pydantic 2 upgrade.
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parent
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@ -1,6 +1,6 @@
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import json
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import re
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from typing import Union
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from typing import Pattern, Union
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from langchain_core.agents import AgentAction, AgentFinish
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from langchain_core.exceptions import OutputParserException
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@ -17,7 +17,7 @@ class ChatOutputParser(AgentOutputParser):
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format_instructions: str = FORMAT_INSTRUCTIONS
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"""Default formatting instructions"""
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pattern = re.compile(r"^.*?`{3}(?:json)?\n(.*?)`{3}.*?$", re.DOTALL)
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pattern: Pattern = re.compile(r"^.*?`{3}(?:json)?\n(.*?)`{3}.*?$", re.DOTALL)
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"""Regex pattern to parse the output."""
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def get_format_instructions(self) -> str:
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@ -1,6 +1,6 @@
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import json
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import re
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from typing import Union
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from typing import Pattern, Union
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from langchain_core.agents import AgentAction, AgentFinish
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from langchain_core.exceptions import OutputParserException
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@ -42,7 +42,7 @@ class ReActJsonSingleInputOutputParser(AgentOutputParser):
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"""
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pattern = re.compile(r"^.*?`{3}(?:json)?\n?(.*?)`{3}.*?$", re.DOTALL)
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pattern: Pattern = re.compile(r"^.*?`{3}(?:json)?\n?(.*?)`{3}.*?$", re.DOTALL)
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"""Regex pattern to parse the output."""
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def get_format_instructions(self) -> str:
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@ -3,7 +3,7 @@ from __future__ import annotations
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import json
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import logging
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import re
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from typing import Optional, Union
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from typing import Optional, Pattern, Union
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from langchain_core.agents import AgentAction, AgentFinish
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from langchain_core.exceptions import OutputParserException
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@ -23,7 +23,7 @@ class StructuredChatOutputParser(AgentOutputParser):
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format_instructions: str = FORMAT_INSTRUCTIONS
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"""Default formatting instructions"""
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pattern = re.compile(r"```(?:json\s+)?(\W.*?)```", re.DOTALL)
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pattern: Pattern = re.compile(r"```(?:json\s+)?(\W.*?)```", re.DOTALL)
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"""Regex pattern to parse the output."""
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def get_format_instructions(self) -> str:
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@ -16,7 +16,7 @@ from tests.unit_tests.llms.fake_llm import FakeLLM
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class DummyLLM(LLM):
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last_prompt = ""
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last_prompt: str = ""
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def __init__(self, **kwargs: Any):
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super().__init__(**kwargs)
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