id int64 0 190k | prompt stringlengths 21 13.4M | docstring stringlengths 1 12k ⌀ |
|---|---|---|
36,412 | import logging
from typing import TYPE_CHECKING, Any, Dict, List, Optional, cast
from llama_index.core.schema import BaseNode, MetadataMode, TextNode
from llama_index.core.vector_stores.utils import (
DEFAULT_TEXT_KEY,
legacy_metadata_dict_to_node,
metadata_dict_to_node,
node_to_metadata_dict,
)
def val... | Get all properties of a class. |
36,413 | import logging
from typing import TYPE_CHECKING, Any, Dict, List, Optional, cast
from llama_index.core.schema import BaseNode, MetadataMode, TextNode
from llama_index.core.vector_stores.utils import (
DEFAULT_TEXT_KEY,
legacy_metadata_dict_to_node,
metadata_dict_to_node,
node_to_metadata_dict,
)
The pr... | Get converted node similarity from distance. |
36,414 | import logging
from typing import TYPE_CHECKING, Any, Dict, List, Optional, cast
from llama_index.core.schema import BaseNode, MetadataMode, TextNode
from llama_index.core.vector_stores.utils import (
DEFAULT_TEXT_KEY,
legacy_metadata_dict_to_node,
metadata_dict_to_node,
node_to_metadata_dict,
)
_logger... | Convert to Node. |
36,415 | import logging
from typing import TYPE_CHECKING, Any, Dict, List, Optional, cast
from llama_index.core.schema import BaseNode, MetadataMode, TextNode
from llama_index.core.vector_stores.utils import (
DEFAULT_TEXT_KEY,
legacy_metadata_dict_to_node,
metadata_dict_to_node,
node_to_metadata_dict,
)
class ... | Add node. |
36,416 | import logging
from typing import Any, Dict, List, Optional, cast
from uuid import uuid4
from llama_index.core.bridge.pydantic import Field, PrivateAttr
from llama_index.core.schema import BaseNode
from llama_index.core.vector_stores.types import (
BasePydanticVectorStore,
MetadataFilters,
VectorStoreQuery,... | null |
36,417 | from typing import Any, Callable, List, Protocol, Tuple, runtime_checkable
from llama_index.core.vector_stores.types import VectorStoreQueryResult
SparseEncoderCallable = Callable[[List[str]], Tuple[List[List[int]], List[List[float]]]]
def default_sparse_encoder(model_id: str) -> SparseEncoderCallable:
try:
... | null |
36,418 | from typing import Any, Callable, List, Protocol, Tuple, runtime_checkable
from llama_index.core.vector_stores.types import VectorStoreQueryResult
class VectorStoreQueryResult:
"""Vector store query result."""
nodes: Optional[Sequence[BaseNode]] = None
similarities: Optional[List[float]] = None
ids: O... | Fuse dense and sparse results using relative score fusion. |
36,419 | import logging
from typing import Any, Dict, List, Optional
from llama_index.core.schema import (
BaseNode,
MetadataMode,
NodeRelationship,
RelatedNodeInfo,
TextNode,
)
from llama_index.core.vector_stores.types import (
MetadataFilters,
VectorStore,
VectorStoreQuery,
VectorStoreQuery... | null |
36,420 | from typing import Any, Dict, List, Optional
import neo4j
from llama_index.core.schema import BaseNode, MetadataMode
from llama_index.core.vector_stores.types import (
VectorStore,
VectorStoreQuery,
VectorStoreQueryResult,
)
from llama_index.core.vector_stores.utils import (
metadata_dict_to_node,
n... | Check if variable is not null and raise error accordingly. |
36,421 | from typing import Any, Dict, List, Optional
import neo4j
from llama_index.core.schema import BaseNode, MetadataMode
from llama_index.core.vector_stores.types import (
VectorStore,
VectorStoreQuery,
VectorStoreQueryResult,
)
from llama_index.core.vector_stores.utils import (
metadata_dict_to_node,
n... | Sort first element to match the index_name if exists. |
36,422 | from typing import Any, Dict, List, Optional
import neo4j
from llama_index.core.schema import BaseNode, MetadataMode
from llama_index.core.vector_stores.types import (
VectorStore,
VectorStoreQuery,
VectorStoreQueryResult,
)
from llama_index.core.vector_stores.utils import (
metadata_dict_to_node,
n... | Convert BaseNode object to a dictionary to be imported into Neo4j. |
36,423 | from typing import Any, Dict, List, Optional
import neo4j
from llama_index.core.schema import BaseNode, MetadataMode
from llama_index.core.vector_stores.types import (
VectorStore,
VectorStoreQuery,
VectorStoreQueryResult,
)
from llama_index.core.vector_stores.utils import (
metadata_dict_to_node,
n... | null |
36,424 | from typing import Any, Dict, List, Optional
import neo4j
from llama_index.core.schema import BaseNode, MetadataMode
from llama_index.core.vector_stores.types import (
VectorStore,
VectorStoreQuery,
VectorStoreQueryResult,
)
from llama_index.core.vector_stores.utils import (
metadata_dict_to_node,
n... | Remove Lucene special characters. |
36,425 | import logging
from typing import Any, List, NamedTuple, Optional, Type
import asyncpg
import pgvector
import psycopg2
import sqlalchemy
import sqlalchemy.ext.asyncio
from llama_index.core.bridge.pydantic import PrivateAttr
from llama_index.core.schema import BaseNode, MetadataMode, TextNode
from llama_index.core.v... | This part create a dynamic sqlalchemy model with a new table. |
36,426 | import logging
from typing import Any, List, NamedTuple, Optional, Type
import asyncpg
import pgvector
import psycopg2
import sqlalchemy
import sqlalchemy.ext.asyncio
from llama_index.core.bridge.pydantic import PrivateAttr
from llama_index.core.schema import BaseNode, MetadataMode, TextNode
from llama_index.core.v... | null |
36,427 | import logging
from typing import Any, List, Optional
import numpy as np
from llama_index.core.bridge.pydantic import PrivateAttr
from llama_index.core.schema import (
BaseNode,
MetadataMode,
NodeRelationship,
RelatedNodeInfo,
TextNode,
)
from llama_index.core.vector_stores.types import (
Metada... | Translate standard metadata filters to Lance specific spec. |
36,428 | import logging
from typing import Any, List, Optional
import numpy as np
from llama_index.core.bridge.pydantic import PrivateAttr
from llama_index.core.schema import (
BaseNode,
MetadataMode,
NodeRelationship,
RelatedNodeInfo,
TextNode,
)
from llama_index.core.vector_stores.types import (
Metada... | null |
36,429 | import logging
import uuid
from typing import TYPE_CHECKING, Any, Dict, List, Optional, Sequence, cast
from llama_index.core.bridge.pydantic import ( # type: ignore
BaseModel,
Field,
PrivateAttr,
)
from llama_index.core.schema import BaseNode, RelatedNodeInfo, TextNode
from llama_index.core.vector_stores.t... | Set the configuration for Google Generative AI API. Parameters are optional, Normally, the defaults should work fine. If provided, they will override the default values in the Config class. See the docstring in `genai_extension.py` for more details. auth_credentials: Optional["credentials.Credentials"] = None, Use this... |
36,430 | import logging
import uuid
from typing import TYPE_CHECKING, Any, Dict, List, Optional, Sequence, cast
from llama_index.core.bridge.pydantic import ( # type: ignore
BaseModel,
Field,
PrivateAttr,
)
from llama_index.core.schema import BaseNode, RelatedNodeInfo, TextNode
from llama_index.core.vector_stores.t... | null |
36,431 | import logging
import uuid
from typing import TYPE_CHECKING, Any, Dict, List, Optional, Sequence, cast
from llama_index.core.bridge.pydantic import ( # type: ignore
BaseModel,
Field,
PrivateAttr,
)
from llama_index.core.schema import BaseNode, RelatedNodeInfo, TextNode
from llama_index.core.vector_stores.t... | Returns a list of lists of nodes where each list has all the nodes from the same document. |
36,432 | import logging
import uuid
from typing import TYPE_CHECKING, Any, Dict, List, Optional, Sequence, cast
from llama_index.core.bridge.pydantic import ( # type: ignore
BaseModel,
Field,
PrivateAttr,
)
from llama_index.core.schema import BaseNode, RelatedNodeInfo, TextNode
from llama_index.core.vector_stores.t... | null |
36,433 | import datetime
import logging
import re
from dataclasses import dataclass
from typing import Any, Dict, Iterator, List, MutableSequence, Optional
import google.ai.generativelanguage as genai
from google.api_core import client_options as client_options_lib
from google.api_core import exceptions as gapi_exception
from g... | null |
36,434 | import datetime
import logging
import re
from dataclasses import dataclass
from typing import Any, Dict, Iterator, List, MutableSequence, Optional
import google.ai.generativelanguage as genai
from google.api_core import client_options as client_options_lib
from google.api_core import exceptions as gapi_exception
from g... | null |
36,435 | import datetime
import logging
import re
from dataclasses import dataclass
from typing import Any, Dict, Iterator, List, MutableSequence, Optional
import google.ai.generativelanguage as genai
from google.api_core import client_options as client_options_lib
from google.api_core import exceptions as gapi_exception
from g... | null |
36,436 | import datetime
import logging
import re
from dataclasses import dataclass
from typing import Any, Dict, Iterator, List, MutableSequence, Optional
import google.ai.generativelanguage as genai
from google.api_core import client_options as client_options_lib
from google.api_core import exceptions as gapi_exception
from g... | null |
36,437 | import datetime
import logging
import re
from dataclasses import dataclass
from typing import Any, Dict, Iterator, List, MutableSequence, Optional
import google.ai.generativelanguage as genai
from google.api_core import client_options as client_options_lib
from google.api_core import exceptions as gapi_exception
from g... | null |
36,438 | import datetime
import logging
import re
from dataclasses import dataclass
from typing import Any, Dict, Iterator, List, MutableSequence, Optional
import google.ai.generativelanguage as genai
from google.api_core import client_options as client_options_lib
from google.api_core import exceptions as gapi_exception
from g... | null |
36,439 | import datetime
import logging
import re
from dataclasses import dataclass
from typing import Any, Dict, Iterator, List, MutableSequence, Optional
import google.ai.generativelanguage as genai
from google.api_core import client_options as client_options_lib
from google.api_core import exceptions as gapi_exception
from g... | null |
36,440 | import datetime
import logging
import re
from dataclasses import dataclass
from typing import Any, Dict, Iterator, List, MutableSequence, Optional
import google.ai.generativelanguage as genai
from google.api_core import client_options as client_options_lib
from google.api_core import exceptions as gapi_exception
from g... | null |
36,441 | import datetime
import logging
import re
from dataclasses import dataclass
from typing import Any, Dict, Iterator, List, MutableSequence, Optional
import google.ai.generativelanguage as genai
from google.api_core import client_options as client_options_lib
from google.api_core import exceptions as gapi_exception
from g... | null |
36,442 | import datetime
import logging
import re
from dataclasses import dataclass
from typing import Any, Dict, Iterator, List, MutableSequence, Optional
import google.ai.generativelanguage as genai
from google.api_core import client_options as client_options_lib
from google.api_core import exceptions as gapi_exception
from g... | null |
36,443 | import datetime
import logging
import re
from dataclasses import dataclass
from typing import Any, Dict, Iterator, List, MutableSequence, Optional
import google.ai.generativelanguage as genai
from google.api_core import client_options as client_options_lib
from google.api_core import exceptions as gapi_exception
from g... | null |
36,444 | import datetime
import logging
import re
from dataclasses import dataclass
from typing import Any, Dict, Iterator, List, MutableSequence, Optional
import google.ai.generativelanguage as genai
from google.api_core import client_options as client_options_lib
from google.api_core import exceptions as gapi_exception
from g... | null |
36,445 | import datetime
import logging
import re
from dataclasses import dataclass
from typing import Any, Dict, Iterator, List, MutableSequence, Optional
import google.ai.generativelanguage as genai
from google.api_core import client_options as client_options_lib
from google.api_core import exceptions as gapi_exception
from g... | null |
36,446 | import datetime
import logging
import re
from dataclasses import dataclass
from typing import Any, Dict, Iterator, List, MutableSequence, Optional
import google.ai.generativelanguage as genai
from google.api_core import client_options as client_options_lib
from google.api_core import exceptions as gapi_exception
from g... | null |
36,447 | import datetime
import logging
import re
from dataclasses import dataclass
from typing import Any, Dict, Iterator, List, MutableSequence, Optional
import google.ai.generativelanguage as genai
from google.api_core import client_options as client_options_lib
from google.api_core import exceptions as gapi_exception
from g... | null |
36,448 | import datetime
import logging
import re
from dataclasses import dataclass
from typing import Any, Dict, Iterator, List, MutableSequence, Optional
import google.ai.generativelanguage as genai
from google.api_core import client_options as client_options_lib
from google.api_core import exceptions as gapi_exception
from g... | null |
36,449 | from __future__ import annotations
from enum import Enum
from os import getenv
from time import sleep
from types import ModuleType
from typing import Any, List, Type, TypeVar
import rockset
from llama_index.core.schema import BaseNode
from llama_index.core.vector_stores.types import (
VectorStore,
VectorStoreQu... | Returns the passed in client object if valid, else constructs and returns one. Returns: The rockset client object (rockset.RocksetClient) |
36,450 | import json
import time
from typing import Any, Dict, List, Optional
from llama_index.core.schema import (
BaseNode,
NodeRelationship,
RelatedNodeInfo,
TextNode,
)
from llama_index.core.vector_stores.types import (
MetadataFilters,
VectorStore,
VectorStoreQuery,
VectorStoreQueryResult,
)... | null |
36,451 | from typing import final, NoReturn
from datetime import datetime, timedelta
import requests
from llama_index.core.tools.tool_spec.base import BaseToolSpec
def retry(f, *args, **kwargs):
return f | null |
36,452 | from typing import final, NoReturn
from datetime import datetime, timedelta
import requests
from llama_index.core.tools.tool_spec.base import BaseToolSpec
def stop_after_attempt(n):
return None | null |
36,453 | from typing import final, NoReturn
from datetime import datetime, timedelta
import requests
from llama_index.core.tools.tool_spec.base import BaseToolSpec
def wait_random(a, b):
return None | null |
36,454 | from typing import final, NoReturn
from datetime import datetime, timedelta
import requests
from llama_index.core.tools.tool_spec.base import BaseToolSpec
def wait_exponential(multiplier, min, max):
return None | null |
36,455 | from typing import final, NoReturn
from datetime import datetime, timedelta
import requests
from llama_index.core.tools.tool_spec.base import BaseToolSpec
def is_http_retryable(rsp):
# -return rsp and rsp.status_code >= 500
return (
rsp
and not isinstance(rsp, dict)
and rsp.status_code ... | null |
36,456 | import pandas as pd
from collections import defaultdict
from datetime import datetime, timedelta
from bs4 import BeautifulSoup
from pytrends.request import TrendReq
from typing import List, Dict, Optional, Any
from newsapi import NewsApiClient
from llama_index.tools.finance.util import get_df, request
def get_df(url: ... | Return gainers of the day from yahoo finace including all cap stocks. |
36,457 | import pandas as pd
from collections import defaultdict
from datetime import datetime, timedelta
from bs4 import BeautifulSoup
from pytrends.request import TrendReq
from typing import List, Dict, Optional, Any
from newsapi import NewsApiClient
from llama_index.tools.finance.util import get_df, request
def get_df(url: ... | Get data for today's losers from yahoo finance including all cap stocks. |
36,458 | import pandas as pd
from collections import defaultdict
from datetime import datetime, timedelta
from bs4 import BeautifulSoup
from pytrends.request import TrendReq
from typing import List, Dict, Optional, Any
from newsapi import NewsApiClient
from llama_index.tools.finance.util import get_df, request
def get_df(url: ... | Get data for today's stocks with low PR ratio and growth rate better than 25%. |
36,459 | import pandas as pd
from collections import defaultdict
from datetime import datetime, timedelta
from bs4 import BeautifulSoup
from pytrends.request import TrendReq
from typing import List, Dict, Optional, Any
from newsapi import NewsApiClient
from llama_index.tools.finance.util import get_df, request
def get_df(url: ... | Get data for today's stocks with low PR ratio and growth rate better than 25%. |
36,460 | import pandas as pd
from collections import defaultdict
from datetime import datetime, timedelta
from bs4 import BeautifulSoup
from pytrends.request import TrendReq
from typing import List, Dict, Optional, Any
from newsapi import NewsApiClient
from llama_index.tools.finance.util import get_df, request
def get_df(url: ... | Get data for today's stocks in descending order based on intraday trading volume. |
36,461 | import pandas as pd
from collections import defaultdict
from datetime import datetime, timedelta
from bs4 import BeautifulSoup
from pytrends.request import TrendReq
from typing import List, Dict, Optional, Any
from newsapi import NewsApiClient
from llama_index.tools.finance.util import get_df, request
def get_df(url: ... | Get data for today's potentially undervalued large cap stocks from Yahoo finance. |
36,462 | import pandas as pd
from collections import defaultdict
from datetime import datetime, timedelta
from bs4 import BeautifulSoup
from pytrends.request import TrendReq
from typing import List, Dict, Optional, Any
from newsapi import NewsApiClient
from llama_index.tools.finance.util import get_df, request
def get_df(url: ... | Get data for today'sagressive / high growth small cap stocks from Yahoo finance. |
36,463 | import pandas as pd
from collections import defaultdict
from datetime import datetime, timedelta
from bs4 import BeautifulSoup
from pytrends.request import TrendReq
from typing import List, Dict, Optional, Any
from newsapi import NewsApiClient
from llama_index.tools.finance.util import get_df, request
def get_df(url: ... | Return data for today's hot penny stocks from pennystockflow.com. |
36,464 | import pandas as pd
from collections import defaultdict
from datetime import datetime, timedelta
from bs4 import BeautifulSoup
from pytrends.request import TrendReq
from typing import List, Dict, Optional, Any
from newsapi import NewsApiClient
from llama_index.tools.finance.util import get_df, request
def request(url:... | Return current price information given a stock ticker symbol. |
36,465 | import pandas as pd
from collections import defaultdict
from datetime import datetime, timedelta
from bs4 import BeautifulSoup
from pytrends.request import TrendReq
from typing import List, Dict, Optional, Any
from newsapi import NewsApiClient
from llama_index.tools.finance.util import get_df, request
The provided cod... | Returns latest news for a given stock_name by querying results via newsapi. |
36,466 | import pandas as pd
from collections import defaultdict
from datetime import datetime, timedelta
from bs4 import BeautifulSoup
from pytrends.request import TrendReq
from typing import List, Dict, Optional, Any
from newsapi import NewsApiClient
from llama_index.tools.finance.util import get_df, request
def request(url:... | Returns top Kk trending news from seekingalpha. |
36,467 | import pandas as pd
from collections import defaultdict
from datetime import datetime, timedelta
from bs4 import BeautifulSoup
from pytrends.request import TrendReq
from typing import List, Dict, Optional, Any
from newsapi import NewsApiClient
from llama_index.tools.finance.util import get_df, request
The provided cod... | Returns overall trending searches in US unless region is provided. |
36,468 | import pandas as pd
from collections import defaultdict
from datetime import datetime, timedelta
from bs4 import BeautifulSoup
from pytrends.request import TrendReq
from typing import List, Dict, Optional, Any
from newsapi import NewsApiClient
from llama_index.tools.finance.util import get_df, request
The provided cod... | Find google search trends for a given query filtered by region if provided. |
36,469 | from typing import Dict
from llama_index.tools.finance.util import request
def request(url: str, method: str = "get", timeout: int = 10, **kwargs):
"""Helper to make requests from a url."""
method = method.lower()
assert method in [
"delete",
"get",
"head",
"patch",
... | Returns a list of companies similar to provided stock symbol. If country is None, performs a global search across all indices. |
36,470 | import csv
import requests
import pandas as pd
import yfinance as yf
from typing import Dict
The provided code snippet includes necessary dependencies for implementing the `get_earnings_history` function. Write a Python function `def get_earnings_history(api_key: Dict[str, str], symbol: str) -> pd.DataFrame` to solve ... | Get actual, estimated earnings and surprise history for a given stock ticker symbol. If somehow api response is not found, returns an empty dataframe. |
36,471 | import csv
import requests
import pandas as pd
import yfinance as yf
from typing import Dict
The provided code snippet includes necessary dependencies for implementing the `get_latest_earning_estimate` function. Write a Python function `def get_latest_earning_estimate(symbol: str) -> float` to solve the following prob... | Gets latest actual and estimated earning estimate for a stock symbol. |
36,472 | import csv
import requests
import pandas as pd
import yfinance as yf
from typing import Dict
The provided code snippet includes necessary dependencies for implementing the `get_upcoming_earnings` function. Write a Python function `def get_upcoming_earnings( api_key: Dict[str, str], start_date: str, end_dat... | Returns stocks announcing there earnings in next 3 months. |
36,473 | import logging
from typing import Any, Dict, List, Optional, Sequence, Type
import requests
from llama_index.core.base.base_retriever import BaseRetriever
from llama_index.core.callbacks.base import CallbackManager
from llama_index.core.data_structs.data_structs import IndexDict, IndexStructType
from llama_index.core.i... | null |
36,474 | import re
from typing import Any, Dict, List, Optional
import numpy as np
from llama_index.core import VectorStoreIndex
from llama_index.core.base.embeddings.base import BaseEmbedding
from llama_index.core.bridge.pydantic import Field
from llama_index.core.llama_pack.base import BaseLlamaPack
from llama_index.core.node... | Combine sentences. Ported over from: https://github.com/FullStackRetrieval-com/RetrievalTutorials/blob/main/5_Levels_Of_Text_Splitting.ipynb |
36,475 | import re
from typing import Any, Dict, List, Optional
import numpy as np
from llama_index.core import VectorStoreIndex
from llama_index.core.base.embeddings.base import BaseEmbedding
from llama_index.core.bridge.pydantic import Field
from llama_index.core.llama_pack.base import BaseLlamaPack
from llama_index.core.node... | Calculate cosine distances. |
36,476 | import re
from typing import Any, Dict, List, Optional
import numpy as np
from llama_index.core import VectorStoreIndex
from llama_index.core.base.embeddings.base import BaseEmbedding
from llama_index.core.bridge.pydantic import Field
from llama_index.core.llama_pack.base import BaseLlamaPack
from llama_index.core.node... | Get indices above threshold. |
36,477 | import re
from typing import Any, Dict, List, Optional
import numpy as np
from llama_index.core import VectorStoreIndex
from llama_index.core.base.embeddings.base import BaseEmbedding
from llama_index.core.bridge.pydantic import Field
from llama_index.core.llama_pack.base import BaseLlamaPack
from llama_index.core.node... | Make chunks. |
36,478 | import json
from typing import List, Optional, TYPE_CHECKING
import pandas as pd
from llama_index.core.bridge.pydantic import BaseModel
from llama_index.core.download.module import LLAMA_HUB_URL
from llama_index.core.download.utils import get_file_content
from llama_index.core.indices.base import BaseIndex
from llama_i... | Converts a given string to camel casing. |
36,479 | import os
import pickle
from pathlib import Path
import nest_asyncio
import panel as pn
import param
from llama_index.core import VectorStoreIndex
from llama_index.readers.github import GithubClient, GithubRepositoryReader
def _split_and_clean(cstext):
return cstext.split(",") | null |
36,480 | import os
import pickle
from pathlib import Path
import nest_asyncio
import panel as pn
import param
from llama_index.core import VectorStoreIndex
from llama_index.readers.github import GithubClient, GithubRepositoryReader
pn.chat.ChatMessage.default_avatars.update(
{
"assistant": GITHUB_COPILOT_LOGO,
... | Returns the Chat UI. |
36,481 | from llama_index.core.bridge.pydantic import Field, BaseModel, PrivateAttr
from llama_index.core import PromptTemplate
from typing import Any, Dict, List, Optional
from dataclasses import dataclass, field
import uuid
from llama_index.core.agent.types import (
Task,
TaskStep,
TaskStepOutput,
)
from llama_ind... | null |
36,482 | import re
from abc import abstractmethod
from typing import Any, Callable, Dict, List, Optional, Tuple
import pandas as pd
from llama_index.core.base.query_pipeline.query import QueryComponent
from llama_index.core.base.response.schema import Response
from llama_index.core.bridge.pydantic import BaseModel, Field
from l... | Get regex parser. |
36,483 | import re
from abc import abstractmethod
from typing import Any, Callable, Dict, List, Optional, Tuple
import pandas as pd
from llama_index.core.base.query_pipeline.query import QueryComponent
from llama_index.core.base.response.schema import Response
from llama_index.core.bridge.pydantic import BaseModel, Field
from l... | Parse dynamic plan. |
36,484 | import re
from abc import abstractmethod
from typing import Any, Callable, Dict, List, Optional, Tuple
import pandas as pd
from llama_index.core.base.query_pipeline.query import QueryComponent
from llama_index.core.base.response.schema import Response
from llama_index.core.bridge.pydantic import BaseModel, Field
from l... | Serialize operation chain. Operation chain is list of (fn, args) tuples. Return string in form: fn1(args1) -> fn2(args2) -> ... Leave dangling arrow at end. |
36,485 | import re
from abc import abstractmethod
from typing import Any, Callable, Dict, List, Optional, Tuple
import pandas as pd
from llama_index.core.base.query_pipeline.query import QueryComponent
from llama_index.core.base.response.schema import Response
from llama_index.core.bridge.pydantic import BaseModel, Field
from l... | Serialize keys. |
36,486 | import re
from abc import abstractmethod
from typing import Any, Callable, Dict, List, Optional, Tuple
import pandas as pd
from llama_index.core.base.query_pipeline.query import QueryComponent
from llama_index.core.base.response.schema import Response
from llama_index.core.bridge.pydantic import BaseModel, Field
from l... | Serialize table. |
36,487 | import asyncio
from enum import Enum
from typing import Any, Dict, List, Optional
import pandas as pd
from llama_index.core.base.response.schema import RESPONSE_TYPE
from llama_index.core.llama_pack.base import BaseLlamaPack
from llama_index.core.llms import LLM
from llama_index.core.llms.utils import LLMType, resolve_... | null |
36,488 | import asyncio
from enum import Enum
from typing import Any, Dict, List, Optional
import pandas as pd
from llama_index.core.base.response.schema import RESPONSE_TYPE
from llama_index.core.llama_pack.base import BaseLlamaPack
from llama_index.core.llms import LLM
from llama_index.core.llms.utils import LLMType, resolve_... | null |
36,489 | import asyncio
from enum import Enum
from typing import Any, Dict, List, Optional
import pandas as pd
from llama_index.core.base.response.schema import RESPONSE_TYPE
from llama_index.core.llama_pack.base import BaseLlamaPack
from llama_index.core.llms import LLM
from llama_index.core.llms.utils import LLMType, resolve_... | null |
36,490 | from typing import Any, Dict, Optional
from llama_index.embeddings.openai import OpenAIEmbedding
from llama_index.core.llama_pack.base import BaseLlamaPack
from llama_index.core.schema import TextNode
from llama_index.core.ingestion import IngestionPipeline
from llama_index.core import VectorStoreIndex
from llama_index... | Infer retrieve rerank. |
36,491 | import ast
import re
from typing import Any, Dict, List, Sequence, Tuple, Union
from llama_index.core.tools.function_tool import FunctionTool
from llama_index.core.tools.types import BaseTool, adapt_to_async_tool
from .schema import (
LLMCompilerParseResult,
LLMCompilerTask,
)
def instantiate_new_step(
tool... | Get graph dict. |
36,492 | import ast
import re
from typing import Any, Dict, List, Sequence, Tuple, Union
from llama_index.core.tools.function_tool import FunctionTool
from llama_index.core.tools.types import BaseTool, adapt_to_async_tool
from .schema import (
LLMCompilerParseResult,
LLMCompilerTask,
)
class LLMCompilerTask(BaseModel):... | Generate context for replanning. Formatted like this. ``` 1. action 1 Observation: xxx 2. action 2 Observation: yyy ... Thought: joinner_thought ``` |
36,493 | import ast
import re
from typing import Any, Dict, List, Sequence, Tuple, Union
from llama_index.core.tools.function_tool import FunctionTool
from llama_index.core.tools.types import BaseTool, adapt_to_async_tool
from .schema import (
LLMCompilerParseResult,
LLMCompilerTask,
)
The provided code snippet include... | Format contexts. Taken from https://github.com/SqueezeAILab/LLMCompiler/blob/main/src/llm_compiler/llm_compiler.py Contexts is a list of context. Each context is formatted as the description of generate_context_for_replanner |
36,494 | import re
from typing import Any, Dict, List, Sequence
from llama_index.core.tools import BaseTool
from llama_index.core.types import BaseOutputParser
from .schema import JoinerOutput, LLMCompilerParseResult
from .utils import get_graph_dict
ID_PATTERN = r"\$\{?(\d+)\}?"
The provided code snippet includes necessary de... | Default dependency rule. |
36,495 | import asyncio
import uuid
from typing import (
Any,
Dict,
List,
Optional,
Sequence,
cast,
)
from llama_index.core.agent.types import (
BaseAgentWorker,
Task,
TaskStep,
TaskStepOutput,
)
from llama_index.core.base.llms.types import ChatMessage, ChatResponse, MessageRole
from llam... | Generate LLM Compiler prompt. |
36,496 | import asyncio
from typing import Any, Collection, Dict, List, Set, Tuple, Union
from llama_index.core.utils import print_text
from pydantic import BaseModel
from .schema import LLMCompilerTask
from .utils import parse_llm_compiler_action_args
class LLMCompilerTask(BaseModel):
"""LLM Compiler Task.
Object tak... | null |
36,497 | from typing import Any, Collection, List, Optional, Tuple, Union
from llama_index.core.tools.types import AsyncBaseTool
from pydantic import BaseModel
def _default_stringify_rule_for_arguments(args: Union[List, Tuple]) -> str:
if len(args) == 1:
return str(args[0])
else:
return str(tuple(args)) | null |
36,498 | from dataclasses import dataclass
from typing import Any, Dict, List
import numpy as np
from llama_index.core.response import Response
from llama_index.core.llama_pack.base import BaseLlamaPack
from llama_index.core.bridge.pydantic import Field
from llama_index.core.query_engine import CustomQueryEngine
from llama_inde... | null |
36,499 | from dataclasses import dataclass
from typing import Any, Dict, List
import numpy as np
from llama_index.core.response import Response
from llama_index.core.llama_pack.base import BaseLlamaPack
from llama_index.core.bridge.pydantic import Field
from llama_index.core.query_engine import CustomQueryEngine
from llama_inde... | null |
36,500 | from dataclasses import dataclass
from typing import Any, Dict, List
import numpy as np
from llama_index.core.response import Response
from llama_index.core.llama_pack.base import BaseLlamaPack
from llama_index.core.bridge.pydantic import Field
from llama_index.core.query_engine import CustomQueryEngine
from llama_inde... | Compute relevance score. Args: pred_log_probs (Dict[str, float]): log probabilities of tokens Returns: float: relevance score |
36,501 | from dataclasses import dataclass
from typing import Any, Dict, List
import numpy as np
from llama_index.core.response import Response
from llama_index.core.llama_pack.base import BaseLlamaPack
from llama_index.core.bridge.pydantic import Field
from llama_index.core.query_engine import CustomQueryEngine
from llama_inde... | Compute support score. Args: pred_tokens (List[int]): List of predicted tokens pred_log_probs_dict (List[Dict[str, float]]): log probabilities of tokens for each predicted tokens Returns: float: support score |
36,502 | from dataclasses import dataclass
from typing import Any, Dict, List
import numpy as np
from llama_index.core.response import Response
from llama_index.core.llama_pack.base import BaseLlamaPack
from llama_index.core.bridge.pydantic import Field
from llama_index.core.query_engine import CustomQueryEngine
from llama_inde... | Compute usefulness score. Args: pred_tokens (List[int]): List of predicted tokens pred_log_probs_dict (List[Dict[str, float]]): log probabilities of tokens for each predicted tokens Returns: float: relevance score |
36,503 | import numpy as np
import random
import tiktoken
import umap
from sklearn.mixture import GaussianMixture
from typing import Dict, List, Optional
from llama_index.core.schema import BaseNode
def perform_clustering(
embeddings: np.ndarray,
dim: int,
threshold: float,
) -> List[np.ndarray]:
# If the number... | null |
36,504 | from pathlib import Path
from typing import Any, Dict, List, Optional
from llama_index.core import ServiceContext
from llama_index.core.llama_pack.base import BaseLlamaPack
from llama_index.core.response_synthesizers import TreeSummarize
from llama_index.core.schema import NodeWithScore
from llama_index.llms.openai imp... | null |
36,505 | import os
from typing import Any, Dict, List
from llama_index.core import ServiceContext, SQLDatabase
from llama_index.core.indices.struct_store.sql_query import NLSQLTableQueryEngine
from llama_index.core.llama_pack.base import BaseLlamaPack
from sqlalchemy import create_engine
def snowflake_sqlalchemy_20_monkey_patc... | null |
36,506 | import asyncio
from typing import Any, Dict
from llama_index.core import SimpleDirectoryReader
from llama_index.core.llama_pack.base import BaseLlamaPack
from llama_index.core.output_parsers import PydanticOutputParser
from llama_index.core.program.multi_modal_llm_program import (
MultiModalLLMCompletionProgram,
)
... | null |
36,507 | from dataclasses import asdict
from typing import List
from llama_index.core.base.llms.types import ChatResponse
from llama_index.core.schema import NodeWithScore
from .types import Document, Citation, CitationsSettings
class NodeWithScore(BaseComponent):
node: BaseNode
score: Optional[float] = None
def _... | null |
36,508 | from dataclasses import asdict
from typing import List
from llama_index.core.base.llms.types import ChatResponse
from llama_index.core.schema import NodeWithScore
from .types import Document, Citation, CitationsSettings
class ChatResponse(BaseModel):
def __str__(self) -> str:
class Citation:
class CitationsS... | null |
36,509 | from dataclasses import asdict
from typing import List
from llama_index.core.base.llms.types import ChatResponse
from llama_index.core.schema import NodeWithScore
from .types import Document, Citation, CitationsSettings
class ChatResponse(BaseModel):
"""Chat response."""
message: ChatMessage
raw: Optional... | null |
36,510 | import regex
import string
import json
from llama_index.core.llama_pack.base import BaseLlamaPack
from llama_index.core import VectorStoreIndex, SimpleDirectoryReader
from llama_index.llms.openai import OpenAI
from llama_index.core.llms import ChatMessage
from transformers import DPRReader, DPRReaderTokenizer
import to... | null |
36,511 | import regex
import string
import json
from llama_index.core.llama_pack.base import BaseLlamaPack
from llama_index.core import VectorStoreIndex, SimpleDirectoryReader
from llama_index.llms.openai import OpenAI
from llama_index.core.llms import ChatMessage
from transformers import DPRReader, DPRReaderTokenizer
import to... | null |
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