id int64 0 190k | prompt stringlengths 21 13.4M | docstring stringlengths 1 12k ⌀ |
|---|---|---|
28,230 | import re
from collections import defaultdict
from dataclasses import dataclass, field
from typing import TYPE_CHECKING, Dict, List
MappingDataType = Dict[str, Dict[str, str]]
def format_duplicated_operator(operator_name: str, count: int) -> str:
"""Format the operator name with the count."""
clean_operator_nam... | Create or update the mapping used to anonymize and/or deanonymize a text. This method exploits the results returned by the analysis and anonymization processes. If is_reversed is True, it constructs a mapping from each original entity to its anonymized value. If is_reversed is False, it constructs a mapping from each a... |
28,231 | import string
from typing import Callable, Dict, Optional
The provided code snippet includes necessary dependencies for implementing the `get_pseudoanonymizer_mapping` function. Write a Python function `def get_pseudoanonymizer_mapping(seed: Optional[int] = None) -> Dict[str, Callable]` to solve the following problem:... | Get a mapping of entities to pseudo anonymize them. |
28,232 | import re
from typing import List
from langchain_experimental.data_anonymizer.deanonymizer_mapping import MappingDataType
MappingDataType = Dict[str, Dict[str, str]]
The provided code snippet includes necessary dependencies for implementing the `case_insensitive_matching_strategy` function. Write a Python function `d... | Case insensitive matching strategy for deanonymization. It replaces all the anonymized entities with the original ones irrespective of their letter case. Args: text: text to deanonymize deanonymizer_mapping: mapping between anonymized entities and original ones Examples of matching: keanu reeves -> Keanu Reeves JOHN F.... |
28,233 | import re
from typing import List
from langchain_experimental.data_anonymizer.deanonymizer_mapping import MappingDataType
def exact_matching_strategy(text: str, deanonymizer_mapping: MappingDataType) -> str:
"""Exact matching strategy for deanonymization.
It replaces all the anonymized entities with the origina... | Combined exact and fuzzy matching strategy for deanonymization. It is a RECOMMENDED STRATEGY. Args: text: text to deanonymize deanonymizer_mapping: mapping between anonymized entities and original ones max_l_dist: maximum Levenshtein distance between the anonymized entity and the text segment to consider it a match Exa... |
28,234 | import re
from typing import List
from langchain_experimental.data_anonymizer.deanonymizer_mapping import MappingDataType
MappingDataType = Dict[str, Dict[str, str]]
The provided code snippet includes necessary dependencies for implementing the `ngram_fuzzy_matching_strategy` function. Write a Python function `def ng... | N-gram fuzzy matching strategy for deanonymization. It replaces all the anonymized entities with the original ones. It uses fuzzy matching to find the position of the anonymized entity in the text. It generates n-grams of the same length as the anonymized entity from the text and uses fuzzy matching to find the positio... |
28,235 | from __future__ import annotations
import json
from pathlib import Path
from typing import TYPE_CHECKING, Callable, Dict, List, Optional, Union
import yaml
from langchain_experimental.data_anonymizer.base import (
DEFAULT_DEANONYMIZER_MATCHING_STRATEGY,
AnonymizerBase,
ReversibleAnonymizerBase,
)
from langc... | null |
28,236 | from __future__ import annotations
import json
from pathlib import Path
from typing import TYPE_CHECKING, Callable, Dict, List, Optional, Union
import yaml
from langchain_experimental.data_anonymizer.base import (
DEFAULT_DEANONYMIZER_MATCHING_STRATEGY,
AnonymizerBase,
ReversibleAnonymizerBase,
)
from langc... | null |
28,237 | from __future__ import annotations
import json
from pathlib import Path
from typing import TYPE_CHECKING, Callable, Dict, List, Optional, Union
import yaml
from langchain_experimental.data_anonymizer.base import (
DEFAULT_DEANONYMIZER_MATCHING_STRATEGY,
AnonymizerBase,
ReversibleAnonymizerBase,
)
from langc... | null |
28,238 | from __future__ import annotations
import json
from pathlib import Path
from typing import TYPE_CHECKING, Callable, Dict, List, Optional, Union
import yaml
from langchain_experimental.data_anonymizer.base import (
DEFAULT_DEANONYMIZER_MATCHING_STRATEGY,
AnonymizerBase,
ReversibleAnonymizerBase,
)
from langc... | null |
28,239 | from typing import Any, List, Optional, Sequence
from langchain_community.graphs.graph_document import GraphDocument, Node, Relationship
from langchain_core.documents import Document
from langchain_core.language_models import BaseLanguageModel
from langchain_core.prompts import ChatPromptTemplate
from langchain_core.py... | Simple model allows to limit node and/or relationship types. Doesn't have any node or relationship properties. |
28,240 | from typing import Any, List, Optional, Sequence
from langchain_community.graphs.graph_document import GraphDocument, Node, Relationship
from langchain_core.documents import Document
from langchain_core.language_models import BaseLanguageModel
from langchain_core.prompts import ChatPromptTemplate
from langchain_core.py... | Map the SimpleRelationship to the base Relationship. |
28,241 | from typing import Any, Dict, List, Optional, Sequence, Tuple, Union
import requests
from langchain.utils import get_from_env
from langchain_community.graphs.graph_document import GraphDocument, Node, Relationship
from langchain_core.documents import Document
The provided code snippet includes necessary dependencies f... | Formats a string to be used as a property key. |
28,242 | from __future__ import annotations
import json
from typing import TYPE_CHECKING, Any, List, Optional, cast
from langchain.callbacks.manager import CallbackManagerForLLMRun
from langchain_community.llms.huggingface_pipeline import HuggingFacePipeline
from langchain_experimental.pydantic_v1 import Field, root_validator
... | Lazily import of the jsonformer package. |
28,243 | import json
from collections import defaultdict
from html.parser import HTMLParser
from typing import Any, DefaultDict, Dict, List, Optional, cast
from langchain.callbacks.manager import (
CallbackManagerForLLMRun,
)
from langchain.schema import (
ChatGeneration,
ChatResult,
)
from langchain_community.chat_... | null |
28,244 | from __future__ import annotations
from typing import TYPE_CHECKING, Any, List, Optional
from langchain.callbacks.manager import CallbackManagerForLLMRun
from langchain.schema import LLMResult
from langchain_community.llms.huggingface_pipeline import HuggingFacePipeline
from langchain_experimental.pydantic_v1 import Fi... | Lazily import of the lmformatenforcer package. |
28,245 | import json
import logging
from typing import (
Any,
Dict,
List,
Mapping,
Optional,
Tuple,
)
from langchain.callbacks.manager import CallbackManagerForLLMRun
from langchain.schema import (
ChatGeneration,
ChatResult,
)
from langchain_core.language_models import BaseChatModel
from langcha... | null |
28,246 | import json
import logging
from typing import (
Any,
Dict,
List,
Mapping,
Optional,
Tuple,
)
from langchain.callbacks.manager import CallbackManagerForLLMRun
from langchain.schema import (
ChatGeneration,
ChatResult,
)
from langchain_core.language_models import BaseChatModel
from langcha... | null |
28,247 | from __future__ import annotations
from typing import TYPE_CHECKING, Any, List, Optional, cast
from langchain.callbacks.manager import CallbackManagerForLLMRun
from langchain_community.llms.huggingface_pipeline import HuggingFacePipeline
from langchain_community.llms.utils import enforce_stop_tokens
from langchain_expe... | Lazily import of the rellm package. |
28,248 | from typing import List
from langchain.agents.agent import AgentExecutor
from langchain.agents.structured_chat.base import StructuredChatAgent
from langchain.tools import BaseTool
from langchain_core.language_models import BaseLanguageModel
from langchain_experimental.plan_and_execute.executors.base import ChainExecuto... | Load an agent executor. Args: llm: BaseLanguageModel tools: List[BaseTool] verbose: bool. Defaults to False. include_task_in_prompt: bool. Defaults to False. Returns: ChainExecutor |
28,249 | import re
from langchain.chains import LLMChain
from langchain.prompts import ChatPromptTemplate, HumanMessagePromptTemplate
from langchain_core.language_models import BaseLanguageModel
from langchain_core.messages import SystemMessage
from langchain_experimental.plan_and_execute.planners.base import LLMPlanner
from la... | Load a chat planner. Args: llm: Language model. system_prompt: System prompt. Returns: LLMPlanner |
28,250 | from typing import Any, Dict, Optional
from langchain.agents.agent import AgentExecutor, BaseSingleActionAgent
from langchain.agents.mrkl.base import ZeroShotAgent
from langchain.agents.openai_functions_agent.base import OpenAIFunctionsAgent
from langchain.agents.types import AgentType
from langchain.callbacks.base imp... | Construct a python agent from an LLM and tool. |
28,251 | from __future__ import annotations
from io import IOBase
from typing import TYPE_CHECKING, Any, List, Optional, Union
from langchain_experimental.agents.agent_toolkits.pandas.base import (
create_pandas_dataframe_agent,
)
def create_pandas_dataframe_agent(
llm: LanguageModelLike,
df: Any,
agent_type: U... | Create pandas dataframe agent by loading csv to a dataframe. Args: llm: Language model to use for the agent. path: A string path, file-like object or a list of string paths/file-like objects that can be read in as pandas DataFrames with pd.read_csv(). pandas_kwargs: Named arguments to pass to pd.read_csv(). **kwargs: A... |
28,252 | from typing import Any, Dict, List, Optional
from langchain.agents.agent import AgentExecutor
from langchain.agents.mrkl.base import ZeroShotAgent
from langchain.callbacks.base import BaseCallbackManager
from langchain.chains.llm import LLMChain
from langchain_core.language_models import BaseLLM
from langchain_experime... | Construct a xorbits agent from an LLM and dataframe. |
28,253 | from typing import Any, Dict, List, Optional
from langchain.agents.agent import AgentExecutor
from langchain.agents.mrkl.base import ZeroShotAgent
from langchain.callbacks.base import BaseCallbackManager
from langchain.chains.llm import LLMChain
from langchain_core.language_models import BaseLLM
from langchain_experime... | Construct a Spark agent from an LLM and dataframe. |
28,254 | import json
from textwrap import dedent
from typing import List
from langchain.prompts import PromptTemplate
from langchain_core.output_parsers import BaseOutputParser
from langchain_experimental.tot.thought import ThoughtValidity
The provided code snippet includes necessary dependencies for implementing the `get_cot_... | Get the prompt for the Chain of Thought (CoT) chain. |
28,255 | import json
from textwrap import dedent
from typing import List
from langchain.prompts import PromptTemplate
from langchain_core.output_parsers import BaseOutputParser
from langchain_experimental.tot.thought import ThoughtValidity
class JSONListOutputParser(BaseOutputParser):
"""Parse the output of a PROPOSE_PROMPT... | Get the prompt for the PROPOSE_PROMPT chain. |
28,256 | import copy
import re
from typing import Any, Dict, Iterable, List, Literal, Optional, Sequence, Tuple, cast
import numpy as np
from langchain_community.utils.math import (
cosine_similarity,
)
from langchain_core.documents import BaseDocumentTransformer, Document
from langchain_core.embeddings import Embeddings
T... | Combine sentences based on buffer size. Args: sentences: List of sentences to combine. buffer_size: Number of sentences to combine. Defaults to 1. Returns: List of sentences with combined sentences. |
28,257 | import copy
import re
from typing import Any, Dict, Iterable, List, Literal, Optional, Sequence, Tuple, cast
import numpy as np
from langchain_community.utils.math import (
cosine_similarity,
)
from langchain_core.documents import BaseDocumentTransformer, Document
from langchain_core.embeddings import Embeddings
d... | Calculate cosine distances between sentences. Args: sentences: List of sentences to calculate distances for. Returns: Tuple of distances and sentences. |
28,258 | from __future__ import annotations
from typing import Any, Dict, List, Optional, Sequence, Union
from langchain.callbacks.manager import CallbackManagerForChainRun
from langchain.chains.llm import LLMChain
from langchain.chains.sql_database.prompt import PROMPT, SQL_PROMPTS
from langchain.prompts.prompt import PromptTe... | Get result from SQL Database. |
28,259 | from typing import Any, Dict, Optional, Type, Union
from langchain.chains.openai_functions import create_structured_output_chain
from langchain.prompts import PromptTemplate
from langchain.pydantic_v1 import BaseModel
from langchain.schema import BaseLLMOutputParser, BasePromptTemplate
from langchain_community.chat_mod... | Create an instance of SyntheticDataGenerator tailored for OpenAI models. This function creates an LLM chain designed for structured output based on the provided schema, language model, and prompt template. The resulting chain is then used to instantiate and return a SyntheticDataGenerator. Args: output_schema (Union[Di... |
28,260 | import functools
import logging
import multiprocessing
import sys
from io import StringIO
from typing import Dict, Optional
from langchain.pydantic_v1 import BaseModel, Field
logger = logging.getLogger(__name__)
The provided code snippet includes necessary dependencies for implementing the `warn_once` function. Write ... | Warn once about the dangers of PythonREPL. |
28,261 | import importlib.util
import json
from pathlib import Path
from typing import Union
import yaml
from langchain.prompts.loading import load_prompt_from_config, try_load_from_hub
from langchain_core.prompts import BasePromptTemplate
def _load_prompt_from_file(file: Union[str, Path]) -> BasePromptTemplate:
"""Load pro... | Unified method for loading a prompt from LangChainHub or local file system. |
28,262 | from __future__ import annotations
import logging
import os
from abc import ABC, abstractmethod
from typing import (
TYPE_CHECKING,
Any,
Dict,
Generic,
List,
Optional,
Tuple,
Type,
TypeVar,
Union,
)
from langchain.callbacks.manager import CallbackManagerForChainRun
from langchain... | Parse the input string into a list of examples. |
28,263 | from __future__ import annotations
import logging
import os
from abc import ABC, abstractmethod
from typing import (
TYPE_CHECKING,
Any,
Dict,
Generic,
List,
Optional,
Tuple,
Type,
TypeVar,
Union,
)
from langchain.callbacks.manager import CallbackManagerForChainRun
from langchain... | Get the BasedOn and ToSelectFrom from the inputs. |
28,264 | from __future__ import annotations
import logging
import os
from abc import ABC, abstractmethod
from typing import (
TYPE_CHECKING,
Any,
Dict,
Generic,
List,
Optional,
Tuple,
Type,
TypeVar,
Union,
)
from langchain.callbacks.manager import CallbackManagerForChainRun
from langchain... | Prepare the inputs for auto embedding. Go over all the inputs and if something is either wrapped in _ToSelectFrom or _BasedOn, and if their inner values are not already _Embed, then wrap them in EmbedAndKeep while retaining their _ToSelectFrom or _BasedOn status |
28,265 | from __future__ import annotations
import logging
import os
from abc import ABC, abstractmethod
from typing import (
TYPE_CHECKING,
Any,
Dict,
Generic,
List,
Optional,
Tuple,
Type,
TypeVar,
Union,
)
from langchain.callbacks.manager import CallbackManagerForChainRun
from langchain... | Check if an item is a string. |
28,266 | from __future__ import annotations
import logging
import os
from abc import ABC, abstractmethod
from typing import (
TYPE_CHECKING,
Any,
Dict,
Generic,
List,
Optional,
Tuple,
Type,
TypeVar,
Union,
)
from langchain.callbacks.manager import CallbackManagerForChainRun
from langchain... | Embed the actions or context using the SentenceTransformer model (or a model that has an `encode` function). Attributes: to_embed: (Union[Union(str, _Embed(str)), Dict, List[Union(str, _Embed(str))], List[Dict]], required) The text to be embedded, either a string, a list of strings or a dictionary or a list of dictiona... |
28,267 | from __future__ import annotations
from typing import TYPE_CHECKING, Union
from langchain.pydantic_v1 import Field, root_validator
from langchain.tools.base import BaseTool
def _model_default_factory(
model_name: str = "laiyer/deberta-v3-base-prompt-injection",
) -> Pipeline:
try:
from transformers imp... | null |
28,268 | import json
import re
from abc import abstractmethod
from typing import Any, Dict, List, Optional, Union
from langchain.base_language import BaseLanguageModel
from langchain.callbacks.manager import Callbacks
from langchain.chains import LLMChain
from langchain.prompts.chat import (
AIMessagePromptTemplate,
Cha... | Load the chat planner. |
28,269 | from typing import Any, List, Optional
from langchain.base_language import BaseLanguageModel
from langchain.callbacks.manager import Callbacks
from langchain.chains import LLMChain
from langchain.prompts import PromptTemplate
class ResponseGenerationChain(LLMChain):
"""Chain to execute tasks."""
def from_llm(cl... | Load the ResponseGenerator. |
28,270 | import json
from typing import List
from langchain.tools.base import BaseTool
class PromptGenerator:
"""Generator of custom prompt strings.
Does this based on constraints, commands, resources, and performance evaluations.
"""
def __init__(self) -> None:
"""Initialize the PromptGenerator object.
... | Generates a prompt string. It includes various constraints, commands, resources, and performance evaluations. Returns: str: The generated prompt string. |
28,271 | import json
import re
from abc import abstractmethod
from typing import Dict, NamedTuple
from langchain_core.output_parsers import BaseOutputParser
The provided code snippet includes necessary dependencies for implementing the `preprocess_json_input` function. Write a Python function `def preprocess_json_input(input_s... | Preprocesses a string to be parsed as json. Replace single backslashes with double backslashes, while leaving already escaped ones intact. Args: input_str: String to be preprocessed Returns: Preprocessed string |
28,272 | import ast
import re
import sys
from contextlib import redirect_stdout
from io import StringIO
from typing import Any, Dict, Optional, Type
from langchain.callbacks.manager import (
AsyncCallbackManagerForToolRun,
CallbackManagerForToolRun,
)
from langchain.pydantic_v1 import BaseModel, Field, root_validator
fr... | null |
28,273 | import ast
import re
import sys
from contextlib import redirect_stdout
from io import StringIO
from typing import Any, Dict, Optional, Type
from langchain.callbacks.manager import (
AsyncCallbackManagerForToolRun,
CallbackManagerForToolRun,
)
from langchain.pydantic_v1 import BaseModel, Field, root_validator
fr... | Sanitize input to the python REPL. Remove whitespace, backtick & python (if llm mistakes python console as terminal) Args: query: The query to sanitize Returns: str: The sanitized query |
28,274 | import logging
from typing import Any, Dict, List, Optional
import requests
from langchain_core.callbacks import CallbackManagerForLLMRun
from langchain_core.language_models.llms import LLM
The provided code snippet includes necessary dependencies for implementing the `clean_url` function. Write a Python function `def... | Remove trailing slash and /api from url if present. |
28,275 | import importlib.util
import logging
from typing import Any, Callable, List, Mapping, Optional
from langchain_core.callbacks import CallbackManagerForLLMRun
from langchain_core.pydantic_v1 import Extra
from langchain_community.llms.self_hosted import SelfHostedPipeline
from langchain_community.llms.utils import enforce... | Inference function to send to the remote hardware. Accepts a Hugging Face pipeline (or more likely, a key pointing to such a pipeline on the cluster's object store) and returns generated text. |
28,276 | import importlib.util
import logging
from typing import Any, Callable, List, Mapping, Optional
from langchain_core.callbacks import CallbackManagerForLLMRun
from langchain_core.pydantic_v1 import Extra
from langchain_community.llms.self_hosted import SelfHostedPipeline
from langchain_community.llms.utils import enforce... | Inference function to send to the remote hardware. Accepts a huggingface model_id and returns a pipeline for the task. |
28,277 | from __future__ import annotations
import asyncio
import functools
import logging
from typing import (
Any,
AsyncIterable,
AsyncIterator,
Callable,
Dict,
Iterable,
Iterator,
List,
Mapping,
Optional,
Tuple,
TypeVar,
)
from langchain_core.callbacks import (
AsyncCallbac... | Use tenacity to retry the completion call. |
28,278 | from __future__ import annotations
import asyncio
import functools
import logging
from typing import (
Any,
AsyncIterable,
AsyncIterator,
Callable,
Dict,
Iterable,
Iterator,
List,
Mapping,
Optional,
Tuple,
TypeVar,
)
from langchain_core.callbacks import (
AsyncCallbac... | Async version of `stream_generate_with_retry`. Because the dashscope SDK doesn't provide an async API, we wrap `stream_generate_with_retry` with an async generator. |
28,279 | from __future__ import annotations
import asyncio
import functools
import logging
from typing import (
Any,
AsyncIterable,
AsyncIterator,
Callable,
Dict,
Iterable,
Iterator,
List,
Mapping,
Optional,
Tuple,
TypeVar,
)
from langchain_core.callbacks import (
AsyncCallbac... | Generate elements from an iterable, and a boolean indicating if it is the last element. |
28,280 | from __future__ import annotations
import asyncio
import functools
import logging
from typing import (
Any,
AsyncIterable,
AsyncIterator,
Callable,
Dict,
Iterable,
Iterator,
List,
Mapping,
Optional,
Tuple,
TypeVar,
)
from langchain_core.callbacks import (
AsyncCallbac... | Generate elements from an async iterable, and a boolean indicating if it is the last element. |
28,281 | from __future__ import annotations
from concurrent.futures import Executor, ThreadPoolExecutor
from typing import TYPE_CHECKING, Any, ClassVar, Dict, Iterator, List, Optional, Union
from langchain_core._api.deprecation import deprecated
from langchain_core.callbacks.manager import (
AsyncCallbackManagerForLLMRun,
... | Returns True if the model name is a Codey model. |
28,282 | from __future__ import annotations
from concurrent.futures import Executor, ThreadPoolExecutor
from typing import TYPE_CHECKING, Any, ClassVar, Dict, Iterator, List, Optional, Union
from langchain_core._api.deprecation import deprecated
from langchain_core.callbacks.manager import (
AsyncCallbackManagerForLLMRun,
... | Returns True if the model name is a Gemini model. |
28,283 | from __future__ import annotations
from concurrent.futures import Executor, ThreadPoolExecutor
from typing import TYPE_CHECKING, Any, ClassVar, Dict, Iterator, List, Optional, Union
from langchain_core._api.deprecation import deprecated
from langchain_core.callbacks.manager import (
AsyncCallbackManagerForLLMRun,
... | Use tenacity to retry the completion call. |
28,284 | from __future__ import annotations
from concurrent.futures import Executor, ThreadPoolExecutor
from typing import TYPE_CHECKING, Any, ClassVar, Dict, Iterator, List, Optional, Union
from langchain_core._api.deprecation import deprecated
from langchain_core.callbacks.manager import (
AsyncCallbackManagerForLLMRun,
... | Use tenacity to retry the completion call. |
28,285 | import asyncio
import json
import warnings
from abc import ABC
from typing import (
Any,
AsyncGenerator,
AsyncIterator,
Dict,
Iterator,
List,
Mapping,
Optional,
)
from langchain_core.callbacks import (
AsyncCallbackManagerForLLMRun,
CallbackManagerForLLMRun,
)
from langchain_core... | null |
28,286 | import asyncio
import json
import warnings
from abc import ABC
from typing import (
Any,
AsyncGenerator,
AsyncIterator,
Dict,
Iterator,
List,
Mapping,
Optional,
)
from langchain_core.callbacks import (
AsyncCallbackManagerForLLMRun,
CallbackManagerForLLMRun,
)
from langchain_core... | Convert a stream response to a generation chunk. |
28,287 | import asyncio
from concurrent.futures import ThreadPoolExecutor
from typing import Any, AsyncIterator, Callable, Dict, Iterator, List, Optional, Union
from langchain_core._api.deprecation import deprecated
from langchain_core.callbacks import (
AsyncCallbackManagerForLLMRun,
CallbackManagerForLLMRun,
)
from la... | Convert a stream response to a generation chunk. |
28,288 | import asyncio
from concurrent.futures import ThreadPoolExecutor
from typing import Any, AsyncIterator, Callable, Dict, Iterator, List, Optional, Union
from langchain_core._api.deprecation import deprecated
from langchain_core.callbacks import (
AsyncCallbackManagerForLLMRun,
CallbackManagerForLLMRun,
)
from la... | Use tenacity to retry the completion call. |
28,289 | import asyncio
from concurrent.futures import ThreadPoolExecutor
from typing import Any, AsyncIterator, Callable, Dict, Iterator, List, Optional, Union
from langchain_core._api.deprecation import deprecated
from langchain_core.callbacks import (
AsyncCallbackManagerForLLMRun,
CallbackManagerForLLMRun,
)
from la... | Use tenacity to retry the completion call. |
28,290 | import asyncio
from concurrent.futures import ThreadPoolExecutor
from typing import Any, AsyncIterator, Callable, Dict, Iterator, List, Optional, Union
from langchain_core._api.deprecation import deprecated
from langchain_core.callbacks import (
AsyncCallbackManagerForLLMRun,
CallbackManagerForLLMRun,
)
from la... | Use tenacity to retry the completion call. |
28,291 | import asyncio
from concurrent.futures import ThreadPoolExecutor
from typing import Any, AsyncIterator, Callable, Dict, Iterator, List, Optional, Union
from langchain_core._api.deprecation import deprecated
from langchain_core.callbacks import (
AsyncCallbackManagerForLLMRun,
CallbackManagerForLLMRun,
)
from la... | Use tenacity to retry the completion call. |
28,292 | import asyncio
from concurrent.futures import ThreadPoolExecutor
from typing import Any, AsyncIterator, Callable, Dict, Iterator, List, Optional, Union
from langchain_core._api.deprecation import deprecated
from langchain_core.callbacks import (
AsyncCallbackManagerForLLMRun,
CallbackManagerForLLMRun,
)
from la... | Use tenacity to retry the completion call for streaming. |
28,293 | import json
import logging
from typing import Any, List, Optional, Union
from langchain_core.callbacks import CallbackManagerForLLMRun
from langchain_core.language_models.llms import LLM
from langchain_core.messages import (
AIMessage,
BaseMessage,
FunctionMessage,
HumanMessage,
SystemMessage,
)
fro... | null |
28,294 | import dataclasses
import os
from typing import Any, Dict, List, Mapping, Optional, Union, cast
import requests
from langchain_core.callbacks import CallbackManagerForLLMRun
from langchain_core.language_models.llms import LLM
from langchain_core.pydantic_v1 import Extra, root_validator
from langchain_core.utils import ... | List available models |
28,295 | import dataclasses
import os
from typing import Any, Dict, List, Mapping, Optional, Union, cast
import requests
from langchain_core.callbacks import CallbackManagerForLLMRun
from langchain_core.language_models.llms import LLM
from langchain_core.pydantic_v1 import Extra, root_validator
from langchain_core.utils import ... | Get completions from Aviary models. |
28,296 | from __future__ import annotations
import logging
from typing import Any, Callable, Dict, List, Optional, Sequence
from langchain_core.callbacks import (
AsyncCallbackManagerForLLMRun,
CallbackManagerForLLMRun,
)
from langchain_core.language_models.llms import LLM
from langchain_core.load.serializable import Se... | Use tenacity to retry the completion call. |
28,297 | from __future__ import annotations
import logging
from typing import Any, Callable, Dict, List, Optional, Sequence
from langchain_core.callbacks import (
AsyncCallbackManagerForLLMRun,
CallbackManagerForLLMRun,
)
from langchain_core.language_models.llms import LLM
from langchain_core.load.serializable import Se... | Use tenacity to retry the async completion call. |
28,298 | import json
from typing import Any, AsyncIterator, Dict, Iterator, List, Mapping, Optional, Union
import aiohttp
import requests
from langchain_core.callbacks import (
AsyncCallbackManagerForLLMRun,
CallbackManagerForLLMRun,
)
from langchain_core.language_models import BaseLanguageModel
from langchain_core.lang... | Convert a stream response to a generation chunk. |
28,299 | from typing import (
Any,
Dict,
List,
Mapping,
Optional,
Set,
)
from langchain_core.callbacks import (
AsyncCallbackManagerForLLMRun,
CallbackManagerForLLMRun,
)
from langchain_core.outputs import Generation, GenerationChunk, LLMResult
from langchain_core.pydantic_v1 import Field, Secret... | Update token usage. |
28,300 | from typing import (
Any,
Dict,
List,
Mapping,
Optional,
Set,
)
from langchain_core.callbacks import (
AsyncCallbackManagerForLLMRun,
CallbackManagerForLLMRun,
)
from langchain_core.outputs import Generation, GenerationChunk, LLMResult
from langchain_core.pydantic_v1 import Field, Secret... | Create the LLMResult from the choices and prompts. |
28,301 | import os
import re
import warnings
from abc import ABC, abstractmethod
from typing import Any, Callable, Dict, List, Mapping, Optional
import requests
from langchain_core.callbacks import CallbackManagerForLLMRun
from langchain_core.language_models import LLM
from langchain_core.pydantic_v1 import (
BaseModel,
... | null |
28,302 | import os
import re
import warnings
from abc import ABC, abstractmethod
from typing import Any, Callable, Dict, List, Mapping, Optional
import requests
from langchain_core.callbacks import CallbackManagerForLLMRun
from langchain_core.language_models import LLM
from langchain_core.pydantic_v1 import (
BaseModel,
... | null |
28,303 | import os
import re
import warnings
from abc import ABC, abstractmethod
from typing import Any, Callable, Dict, List, Mapping, Optional
import requests
from langchain_core.callbacks import CallbackManagerForLLMRun
from langchain_core.language_models import LLM
from langchain_core.pydantic_v1 import (
BaseModel,
... | null |
28,304 | import os
import re
import warnings
from abc import ABC, abstractmethod
from typing import Any, Callable, Dict, List, Mapping, Optional
import requests
from langchain_core.callbacks import CallbackManagerForLLMRun
from langchain_core.language_models import LLM
from langchain_core.pydantic_v1 import (
BaseModel,
... | Gets the default Databricks workspace hostname. Raises an error if the hostname cannot be automatically determined. |
28,305 | import os
import re
import warnings
from abc import ABC, abstractmethod
from typing import Any, Callable, Dict, List, Mapping, Optional
import requests
from langchain_core.callbacks import CallbackManagerForLLMRun
from langchain_core.language_models import LLM
from langchain_core.pydantic_v1 import (
BaseModel,
... | Gets the default Databricks personal access token. Raises an error if the token cannot be automatically determined. |
28,306 | import os
import re
import warnings
from abc import ABC, abstractmethod
from typing import Any, Callable, Dict, List, Mapping, Optional
import requests
from langchain_core.callbacks import CallbackManagerForLLMRun
from langchain_core.language_models import LLM
from langchain_core.pydantic_v1 import (
BaseModel,
... | Checks if a data is a valid hexadecimal string using a regular expression. |
28,307 | import os
import re
import warnings
from abc import ABC, abstractmethod
from typing import Any, Callable, Dict, List, Mapping, Optional
import requests
from langchain_core.callbacks import CallbackManagerForLLMRun
from langchain_core.language_models import LLM
from langchain_core.pydantic_v1 import (
BaseModel,
... | Loads a pickled function from a hexadecimal string. |
28,308 | import os
import re
import warnings
from abc import ABC, abstractmethod
from typing import Any, Callable, Dict, List, Mapping, Optional
import requests
from langchain_core.callbacks import CallbackManagerForLLMRun
from langchain_core.language_models import LLM
from langchain_core.pydantic_v1 import (
BaseModel,
... | Pickles a function and returns the hexadecimal string. |
28,309 | from __future__ import annotations
import os
from typing import Any, AsyncIterator, Dict, Iterator, List, Optional
from langchain_core.callbacks.manager import (
AsyncCallbackManagerForLLMRun,
CallbackManagerForLLMRun,
)
from langchain_core.language_models.llms import LLM
from langchain_core.load.serializable i... | Convert a stream response to a generation chunk. |
28,310 | from __future__ import annotations
from typing import Any, Dict, Iterator, List, Optional
from langchain_core._api.deprecation import deprecated
from langchain_core.callbacks import CallbackManagerForLLMRun
from langchain_core.language_models import LanguageModelInput
from langchain_core.outputs import Generation, Gene... | Use tenacity to retry the completion call. |
28,311 | from __future__ import annotations
from typing import Any, Dict, Iterator, List, Optional
from langchain_core._api.deprecation import deprecated
from langchain_core.callbacks import CallbackManagerForLLMRun
from langchain_core.language_models import LanguageModelInput
from langchain_core.outputs import Generation, Gene... | null |
28,312 | from __future__ import annotations
from typing import Any, Dict, Iterator, List, Optional
from langchain_core._api.deprecation import deprecated
from langchain_core.callbacks import CallbackManagerForLLMRun
from langchain_core.language_models import LanguageModelInput
from langchain_core.outputs import Generation, Gene... | Strip erroneous leading spaces from text. The PaLM API will sometimes erroneously return a single leading space in all lines > 1. This function strips that space. |
28,313 | import json
import logging
from typing import Any, Callable, Dict, List, Mapping, Optional
import requests
from langchain_core.callbacks import CallbackManagerForLLMRun
from langchain_core.language_models.llms import LLM
from langchain_core.pydantic_v1 import Extra, SecretStr, root_validator
from langchain_core.utils i... | Use tenacity to retry the completion call. |
28,314 | from __future__ import annotations
import logging
import os
import sys
import warnings
from typing import (
AbstractSet,
Any,
AsyncIterator,
Callable,
Collection,
Dict,
Iterator,
List,
Literal,
Mapping,
Optional,
Set,
Tuple,
Union,
)
from langchain_core._api.depre... | Update token usage. |
28,315 | from __future__ import annotations
import logging
import os
import sys
import warnings
from typing import (
AbstractSet,
Any,
AsyncIterator,
Callable,
Collection,
Dict,
Iterator,
List,
Literal,
Mapping,
Optional,
Set,
Tuple,
Union,
)
from langchain_core._api.depre... | Convert a stream response to a generation chunk. |
28,316 | from __future__ import annotations
import logging
import os
import sys
import warnings
from typing import (
AbstractSet,
Any,
AsyncIterator,
Callable,
Collection,
Dict,
Iterator,
List,
Literal,
Mapping,
Optional,
Set,
Tuple,
Union,
)
from langchain_core._api.depre... | Update response from the stream response. |
28,317 | from __future__ import annotations
import logging
import os
import sys
import warnings
from typing import (
AbstractSet,
Any,
AsyncIterator,
Callable,
Collection,
Dict,
Iterator,
List,
Literal,
Mapping,
Optional,
Set,
Tuple,
Union,
)
from langchain_core._api.depre... | null |
28,318 | from __future__ import annotations
import logging
import os
import sys
import warnings
from typing import (
AbstractSet,
Any,
AsyncIterator,
Callable,
Collection,
Dict,
Iterator,
List,
Literal,
Mapping,
Optional,
Set,
Tuple,
Union,
)
from langchain_core._api.depre... | Use tenacity to retry the completion call. |
28,319 | from __future__ import annotations
import logging
import os
import sys
import warnings
from typing import (
AbstractSet,
Any,
AsyncIterator,
Callable,
Collection,
Dict,
Iterator,
List,
Literal,
Mapping,
Optional,
Set,
Tuple,
Union,
)
from langchain_core._api.depre... | Use tenacity to retry the async completion call. |
28,320 | import json
from typing import Any, AsyncIterator, Dict, Iterator, List, Mapping, Optional
import aiohttp
from langchain_core.callbacks import (
AsyncCallbackManagerForLLMRun,
CallbackManagerForLLMRun,
)
from langchain_core.language_models.llms import LLM
from langchain_core.outputs import GenerationChunk
from ... | null |
28,321 | import json
from typing import Any, AsyncIterator, Dict, Iterator, List, Mapping, Optional
import aiohttp
from langchain_core.callbacks import (
AsyncCallbackManagerForLLMRun,
CallbackManagerForLLMRun,
)
from langchain_core.language_models.llms import LLM
from langchain_core.outputs import GenerationChunk
from ... | null |
28,322 | import json
from typing import Any, AsyncIterator, Dict, Iterator, List, Mapping, Optional
import aiohttp
from langchain_core.callbacks import (
AsyncCallbackManagerForLLMRun,
CallbackManagerForLLMRun,
)
from langchain_core.language_models.llms import LLM
from langchain_core.outputs import GenerationChunk
from ... | null |
28,323 | from typing import Any, Callable, List, Mapping, Optional
from langchain_core.callbacks import CallbackManagerForLLMRun
from langchain_core.language_models.llms import LLM
from langchain_core.pydantic_v1 import Field
from langchain_community.llms.utils import enforce_stop_tokens
The provided code snippet includes nece... | Displays the given prompt to the user. |
28,324 | from typing import Any, Callable, List, Mapping, Optional
from langchain_core.callbacks import CallbackManagerForLLMRun
from langchain_core.language_models.llms import LLM
from langchain_core.pydantic_v1 import Field
from langchain_community.llms.utils import enforce_stop_tokens
The provided code snippet includes nece... | Collects and returns user input as a single string. |
28,325 | import importlib.util
import logging
import pickle
from typing import Any, Callable, List, Mapping, Optional
from langchain_core.callbacks import CallbackManagerForLLMRun
from langchain_core.language_models.llms import LLM
from langchain_core.pydantic_v1 import Extra
from langchain_community.llms.utils import enforce_s... | Inference function to send to the remote hardware. Accepts a pipeline callable (or, more likely, a key pointing to the model on the cluster's object store) and returns text predictions for each document in the batch. |
28,326 | import importlib.util
import logging
import pickle
from typing import Any, Callable, List, Mapping, Optional
from langchain_core.callbacks import CallbackManagerForLLMRun
from langchain_core.language_models.llms import LLM
from langchain_core.pydantic_v1 import Extra
from langchain_community.llms.utils import enforce_s... | Send a pipeline to a device on the cluster. |
28,327 | from __future__ import annotations
import logging
from typing import Any, Callable, Dict, List, Optional
from langchain_core.callbacks import (
AsyncCallbackManagerForLLMRun,
CallbackManagerForLLMRun,
)
from langchain_core.language_models.llms import LLM
from langchain_core.load.serializable import Serializable... | Use tenacity to retry the completion call. |
28,328 | from __future__ import annotations
import logging
from typing import Any, Callable, Dict, List, Optional
from langchain_core.callbacks import (
AsyncCallbackManagerForLLMRun,
CallbackManagerForLLMRun,
)
from langchain_core.language_models.llms import LLM
from langchain_core.load.serializable import Serializable... | Use tenacity to retry the completion call. |
28,329 | from typing import Dict, List
import numpy as np
from langchain_core.example_selectors import BaseExampleSelector
from langchain_core.prompts import PromptTemplate
from langchain_core.pydantic_v1 import BaseModel, root_validator
The provided code snippet includes necessary dependencies for implementing the `ngram_over... | Compute ngram overlap score of source and example as sentence_bleu score from NLTK package. Use sentence_bleu with method1 smoothing function and auto reweighting. Return float value between 0.0 and 1.0 inclusive. https://www.nltk.org/_modules/nltk/translate/bleu_score.html https://aclanthology.org/P02-1040.pdf |
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