text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
python_sources()
python_tests(
name="tests",
skip_tests=True,
)
| llama_index/llama-index-legacy/tests/llm_predictor/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/tests/llm_predictor/BUILD",
"repo_id": "llama_index",
"token_count": 32
} | 1,743 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/querycoordv2/job/utils.go/0 | {
"file_path": "milvus/internal/querycoordv2/job/utils.go",
"repo_id": "milvus",
"token_count": 1590
} | 1,895 |
<!--Copyright 2021 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/layoutxlm.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/layoutxlm.md",
"repo_id": "transformers",
"token_count": 981
} | 486 |
# End-to-End finetuning of RAG (including DPR retriever) for Question Answering.
This finetuning script is actively maintained by [Shamane Siri](https://github.com/shamanez). Feel free to ask questions on the [Forum](https://discuss.huggingface.co/) or post an issue on [GitHub](https://github.com/huggingface/transform... | transformers/examples/research_projects/rag-end2end-retriever/README.md/0 | {
"file_path": "transformers/examples/research_projects/rag-end2end-retriever/README.md",
"repo_id": "transformers",
"token_count": 1044
} | 532 |
"""Test ChatOpenAI wrapper."""
from typing import Any, Optional
import pytest
from langchain_core.callbacks import CallbackManager
from langchain_core.messages import AIMessage, BaseMessage, HumanMessage, SystemMessage
from langchain_core.outputs import (
ChatGeneration,
ChatResult,
LLMResult,
)
from langc... | langchain/libs/community/tests/integration_tests/chat_models/test_openai.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/chat_models/test_openai.py",
"repo_id": "langchain",
"token_count": 4140
} | 344 |
import pytest
@pytest.fixture(scope="module")
def neox_sharded_handle(launcher):
with launcher(
"OpenAssistant/oasst-sft-1-pythia-12b", num_shard=2, use_flash_attention=False
) as handle:
yield handle
@pytest.fixture(scope="module")
async def neox_sharded(neox_sharded_handle):
await neox... | text-generation-inference/integration-tests/models/test_neox_sharded.py/0 | {
"file_path": "text-generation-inference/integration-tests/models/test_neox_sharded.py",
"repo_id": "text-generation-inference",
"token_count": 507
} | 401 |
package writebuffer
import (
"container/heap"
"math/rand"
"time"
"github.com/samber/lo"
"go.uber.org/atomic"
"github.com/milvus-io/milvus-proto/go-api/v2/commonpb"
"github.com/milvus-io/milvus/internal/datanode/metacache"
"github.com/milvus-io/milvus/internal/proto/datapb"
"github.com/milvus-io/milvus/pkg/u... | milvus/internal/datanode/writebuffer/sync_policy.go/0 | {
"file_path": "milvus/internal/datanode/writebuffer/sync_policy.go",
"repo_id": "milvus",
"token_count": 1697
} | 1,812 |
from unittest.mock import MagicMock, patch
import httpx
from llama_index.legacy.embeddings import AzureOpenAIEmbedding
@patch("llama_index.legacy.embeddings.azure_openai.AzureOpenAI")
def test_custom_http_client(azure_openai_mock: MagicMock) -> None:
"""
Verify that a custom http_client set for AzureOpenAIEm... | llama_index/llama-index-legacy/tests/embeddings/test_azure_openai.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/embeddings/test_azure_openai.py",
"repo_id": "llama_index",
"token_count": 272
} | 1,730 |
<jupyter_start><jupyter_text>Composable ObjectsIn this notebook, we show how you can combine multiple objects into a single top-level index.This approach works by setting up `IndexNode` objects, with an `obj` field that points to a:- query engine- retriever- query pipeline- another node!```pythonobject = IndexNode(inde... | llama_index/docs/examples/retrievers/composable_retrievers.ipynb/0 | {
"file_path": "llama_index/docs/examples/retrievers/composable_retrievers.ipynb",
"repo_id": "llama_index",
"token_count": 1853
} | 1,127 |
# coding=utf-8
# Copyright 2022 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/tests/models/dpt/test_modeling_dpt.py/0 | {
"file_path": "transformers/tests/models/dpt/test_modeling_dpt.py",
"repo_id": "transformers",
"token_count": 6106
} | 731 |
"""Util that calls Metaphor Search API.
In order to set this up, follow instructions at:
"""
import json
from typing import Dict, List, Optional
import aiohttp
import requests
from langchain_core.pydantic_v1 import BaseModel, Extra, root_validator
from langchain_core.utils import get_from_dict_or_env
METAPHOR_API_UR... | langchain/libs/community/langchain_community/utilities/metaphor_search.py/0 | {
"file_path": "langchain/libs/community/langchain_community/utilities/metaphor_search.py",
"repo_id": "langchain",
"token_count": 3086
} | 328 |
// Copyright (C) 2019-2020 Zilliz. All rights reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance
// with the License. You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable l... | milvus/internal/core/src/indexbuilder/VecIndexCreator.cpp/0 | {
"file_path": "milvus/internal/core/src/indexbuilder/VecIndexCreator.cpp",
"repo_id": "milvus",
"token_count": 1146
} | 1,649 |
<jupyter_start><jupyter_text>Cogniswitch ToolSpec**Use CogniSwitch to build production ready applications that can consume, organize and retrieve knowledge flawlessly. Using the framework of your choice, in this case LlamaIndex, CogniSwitch helps alleviate the stress of decision making when it comes to, choosing the ri... | llama_index/llama-index-integrations/tools/llama-index-tools-cogniswitch/examples/cogniswitch.ipynb/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-cogniswitch/examples/cogniswitch.ipynb",
"repo_id": "llama_index",
"token_count": 1415
} | 1,420 |
<?xml version="1.0" encoding="utf-8"?>
<!-- Generator: Adobe Illustrator 23.0.1, SVG Export Plug-In . SVG Version: 6.00 Build 0) -->
<svg version="1.1" id="Layer_1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
viewBox="0 0 270 270" style="enable-background:new 0 0 270... | auto-evaluator/nextjs/public/slack-mark.svg/0 | {
"file_path": "auto-evaluator/nextjs/public/slack-mark.svg",
"repo_id": "auto-evaluator",
"token_count": 1106
} | 4 |
"""Tool for the Google Lens"""
from typing import Optional
from langchain_core.callbacks import CallbackManagerForToolRun
from langchain_core.tools import BaseTool
from langchain_community.utilities.google_lens import GoogleLensAPIWrapper
class GoogleLensQueryRun(BaseTool):
"""Tool that queries the Google Lens... | langchain/libs/community/langchain_community/tools/google_lens/tool.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/google_lens/tool.py",
"repo_id": "langchain",
"token_count": 294
} | 286 |
package milvus
import (
"fmt"
"strings"
"github.com/milvus-io/milvus/pkg/util/typeutil"
)
const (
RunCmd = "run"
)
var (
usageLine = fmt.Sprintf("Usage:\n"+
"%s\n%s\n%s\n%s\n", runLine, stopLine, mckLine, serverTypeLine)
serverTypeLine = `
[server type]
` + strings.Join(typeutil.ServerTypeList(), "\n\t") ... | milvus/cmd/milvus/help.go/0 | {
"file_path": "milvus/cmd/milvus/help.go",
"repo_id": "milvus",
"token_count": 560
} | 1,627 |
from llama_index.core.llama_pack import BaseLlamaPack
from llama_index.packs.vectara_rag import VectaraRagPack
def test_class():
names_of_base_classes = [b.__name__ for b in VectaraRagPack.__mro__]
assert BaseLlamaPack.__name__ in names_of_base_classes
| llama_index/llama-index-packs/llama-index-packs-vectara-rag/tests/test_packs_vectara_rag.py/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-vectara-rag/tests/test_packs_vectara_rag.py",
"repo_id": "llama_index",
"token_count": 102
} | 1,706 |
import logging
import pytest
import functools
import socket
import common.common_type as ct
import common.common_func as cf
from utils.util_log import test_log as log
from common.common_func import param_info
from check.param_check import ip_check, number_check
from config.log_config import log_config
from utils.util... | milvus/tests/python_client/deploy/conftest.py/0 | {
"file_path": "milvus/tests/python_client/deploy/conftest.py",
"repo_id": "milvus",
"token_count": 246
} | 2,037 |
# coding=utf-8
# Copyright 2019-present CNRS, Facebook Inc. and the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#... | transformers/src/transformers/models/flaubert/configuration_flaubert.py/0 | {
"file_path": "transformers/src/transformers/models/flaubert/configuration_flaubert.py",
"repo_id": "transformers",
"token_count": 4615
} | 644 |
from langchain_community.tools.ainetwork.owner import AINOwnerOps, RuleSchema
__all__ = ["RuleSchema", "AINOwnerOps"]
| langchain/libs/langchain/langchain/tools/ainetwork/owner.py/0 | {
"file_path": "langchain/libs/langchain/langchain/tools/ainetwork/owner.py",
"repo_id": "langchain",
"token_count": 39
} | 553 |
"""Load html from files, clean up, split, ingest into Weaviate."""
import pickle
from langchain.document_loaders import SitemapLoader
from langchain.embeddings import OpenAIEmbeddings
from langchain.text_splitter import RecursiveCharacterTextSplitter
from langchain.vectorstores.faiss import FAISS
def get_text(conten... | langchain-aiplugin/retrieval_qa/ingest.py/0 | {
"file_path": "langchain-aiplugin/retrieval_qa/ingest.py",
"repo_id": "langchain-aiplugin",
"token_count": 418
} | 66 |
import { BaseLLMParams, LLM } from "@langchain/core/language_models/llms";
export interface BittensorInput extends BaseLLMParams {
systemPrompt?: string | null | undefined;
topResponses?: number | undefined;
}
interface Message {
role: string;
content: string;
}
interface ChatPayload {
uids?: string[];
to... | langchainjs/langchain/src/experimental/llms/bittensor.ts/0 | {
"file_path": "langchainjs/langchain/src/experimental/llms/bittensor.ts",
"repo_id": "langchainjs",
"token_count": 2118
} | 960 |
import asyncio
import logging
from threading import Thread
from typing import Any, List, Optional, Tuple
from llama_index.core.base.llms.types import ChatMessage, MessageRole
from llama_index.core.callbacks import CallbackManager, trace_method
from llama_index.core.chat_engine.types import (
AgentChatResponse,
... | llama_index/llama-index-core/llama_index/core/chat_engine/condense_plus_context.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/chat_engine/condense_plus_context.py",
"repo_id": "llama_index",
"token_count": 5650
} | 1,165 |
python_tests()
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-mongodb/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-mongodb/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,527 |
<jupyter_start><jupyter_text>Density based retrieval relevanceAn important aspect of using embeddings-based retreival systems like Chroma is knowing whether there are relevant results to a given query in the existing dataset. As application developers, we would like to know when the system doesn't have enough informati... | chroma/chromadb/experimental/density_relevance.ipynb/0 | {
"file_path": "chroma/chromadb/experimental/density_relevance.ipynb",
"repo_id": "chroma",
"token_count": 3234
} | 14 |
<jupyter_start><jupyter_text>---sidebar_position: 2title: "RunnableLambda: Run Custom Functions"keywords: [RunnableLambda, LCEL]---<jupyter_code># Run custom functions
You can use arbitrary functions in the pipeline.
Note that all inputs to these functions need to be a SINGLE argument. If you have a function that acc... | langchain/docs/docs/expression_language/how_to/functions.ipynb/0 | {
"file_path": "langchain/docs/docs/expression_language/how_to/functions.ipynb",
"repo_id": "langchain",
"token_count": 1022
} | 90 |
<jupyter_start><jupyter_text>Ingestion Pipeline + Document ManagementAttaching a `docstore` to the ingestion pipeline will enable document management.Using the `document.doc_id` or `node.ref_doc_id` as a grounding point, the ingestion pipeline will actively look for duplicate documents.It works by- Storing a map of `do... | llama_index/docs/examples/ingestion/document_management_pipeline.ipynb/0 | {
"file_path": "llama_index/docs/examples/ingestion/document_management_pipeline.ipynb",
"repo_id": "llama_index",
"token_count": 1213
} | 1,190 |
{
"eslint.workingDirectories": [
"./nextjs",
],
"deno.enablePaths": [
"./supabase"
],
"deno.importMap": "./supabase/functions/import_map.json"
} | langchain-template-supabase/.vscode/settings.json/0 | {
"file_path": "langchain-template-supabase/.vscode/settings.json",
"repo_id": "langchain-template-supabase",
"token_count": 73
} | 71 |
from .. import decoders
Decoder = decoders.Decoder
ByteLevel = decoders.ByteLevel
Replace = decoders.Replace
WordPiece = decoders.WordPiece
ByteFallback = decoders.ByteFallback
Fuse = decoders.Fuse
Strip = decoders.Strip
Metaspace = decoders.Metaspace
BPEDecoder = decoders.BPEDecoder
CTC = decoders.CTC
Sequence = dec... | tokenizers/bindings/python/py_src/tokenizers/decoders/__init__.py/0 | {
"file_path": "tokenizers/bindings/python/py_src/tokenizers/decoders/__init__.py",
"repo_id": "tokenizers",
"token_count": 128
} | 461 |
# Copyright 2024 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers/src/diffusers/loaders/unet.py/0 | {
"file_path": "diffusers/src/diffusers/loaders/unet.py",
"repo_id": "diffusers",
"token_count": 20006
} | 225 |
import { OpenAI, OpenAIEmbeddings } from "@langchain/openai";
import { MemoryVectorStore } from "langchain/vectorstores/memory";
import { HydeRetriever } from "langchain/retrievers/hyde";
import { Document } from "@langchain/core/documents";
const embeddings = new OpenAIEmbeddings();
const vectorStore = new MemoryVect... | langchainjs/examples/src/retrievers/hyde.ts/0 | {
"file_path": "langchainjs/examples/src/retrievers/hyde.ts",
"repo_id": "langchainjs",
"token_count": 272
} | 912 |
from typing import Optional, Type
from langchain.callbacks.manager import (
AsyncCallbackManagerForToolRun,
CallbackManagerForToolRun,
)
# Import things that are needed generically
from langchain.pydantic_v1 import BaseModel, Field
from langchain.tools import BaseTool
from neo4j_semantic_ollama.utils import ... | langchain/templates/neo4j-semantic-ollama/neo4j_semantic_ollama/information_tool.py/0 | {
"file_path": "langchain/templates/neo4j-semantic-ollama/neo4j_semantic_ollama/information_tool.py",
"repo_id": "langchain",
"token_count": 923
} | 701 |
*This guideline is very much a work-in-progress.*
Contributions to `timm` for code, documentation, tests are more than welcome!
There haven't been any formal guidelines to date so please bear with me, and feel free to add to this guide.
# Coding style
Code linting and auto-format (black) are not currently in place ... | pytorch-image-models/CONTRIBUTING.md/0 | {
"file_path": "pytorch-image-models/CONTRIBUTING.md",
"repo_id": "pytorch-image-models",
"token_count": 1224
} | 342 |
import { BedrockChat } from "@langchain/community/chat_models/bedrock";
// Or, from web environments:
// import { BedrockChat } from "@langchain/community/chat_models/bedrock/web";
import { HumanMessage } from "@langchain/core/messages";
// If no credentials are provided, the default credentials from
// @aws-sdk/crede... | langchainjs/examples/src/models/chat/integration_bedrock.ts/0 | {
"file_path": "langchainjs/examples/src/models/chat/integration_bedrock.ts",
"repo_id": "langchainjs",
"token_count": 348
} | 845 |
<!--Copyright 2023 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/ja/main_classes/logging.md/0 | {
"file_path": "transformers/docs/source/ja/main_classes/logging.md",
"repo_id": "transformers",
"token_count": 2182
} | 489 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/querynodev2/handlers_test.go/0 | {
"file_path": "milvus/internal/querynodev2/handlers_test.go",
"repo_id": "milvus",
"token_count": 1716
} | 1,839 |
package log
import (
"context"
"testing"
"time"
"github.com/stretchr/testify/assert"
"go.uber.org/zap"
)
func TestExporterV2(t *testing.T) {
ts := newTestLogSpy(t)
conf := &Config{Level: "debug", DisableTimestamp: true}
logger, properties, _ := InitTestLogger(ts, conf)
ReplaceGlobals(logger, properties)
r... | milvus/pkg/log/mlogger_test.go/0 | {
"file_path": "milvus/pkg/log/mlogger_test.go",
"repo_id": "milvus",
"token_count": 1112
} | 2,033 |
python_sources()
| llama_index/llama-index-core/llama_index/core/base/BUILD/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/base/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,245 |
python_tests(
name="tests",
skip_tests=True,
)
| llama_index/llama-index-legacy/tests/chat_engine/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/tests/chat_engine/BUILD",
"repo_id": "llama_index",
"token_count": 25
} | 1,793 |
# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | transformers/src/transformers/integrations/peft.py/0 | {
"file_path": "transformers/src/transformers/integrations/peft.py",
"repo_id": "transformers",
"token_count": 9185
} | 574 |
"""Test PGVector functionality."""
from unittest import mock
from unittest.mock import Mock
import pytest
from langchain_community.embeddings import FakeEmbeddings
from langchain_community.vectorstores import pgvector
_CONNECTION_STRING = pgvector.PGVector.connection_string_from_db_params(
driver="psycopg2",
... | langchain/libs/community/tests/unit_tests/vectorstores/test_pgvector.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/vectorstores/test_pgvector.py",
"repo_id": "langchain",
"token_count": 870
} | 411 |
mod benchmarks;
use criterion::criterion_main;
criterion_main!(
benchmarks::affine::benches,
benchmarks::matmul::benches,
benchmarks::random::benches,
benchmarks::where_cond::benches
);
| candle/candle-core/benches/bench_main.rs/0 | {
"file_path": "candle/candle-core/benches/bench_main.rs",
"repo_id": "candle",
"token_count": 71
} | 32 |
import os
import pytest
import yaml
from datasets.features.features import Features, Value
from datasets.info import DatasetInfo, DatasetInfosDict
@pytest.mark.parametrize(
"files",
[
["full:README.md", "dataset_infos.json"],
["empty:README.md", "dataset_infos.json"],
["dataset_infos... | datasets/tests/test_info.py/0 | {
"file_path": "datasets/tests/test_info.py",
"repo_id": "datasets",
"token_count": 2685
} | 168 |
import os
import time
import pytest
from dotenv import load_dotenv
from langchain_community.embeddings.openai import OpenAIEmbeddings
from langchain_community.vectorstores.azuresearch import AzureSearch
load_dotenv()
model = os.getenv("OPENAI_EMBEDDINGS_ENGINE_DOC", "text-embedding-ada-002")
# Vector store settings... | langchain/libs/community/tests/integration_tests/vectorstores/test_azuresearch.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/vectorstores/test_azuresearch.py",
"repo_id": "langchain",
"token_count": 1217
} | 383 |
use crate::op::{BinaryOp, Op, ReduceOp, UnaryOp};
use crate::{Error, Result, Tensor, TensorId};
use std::collections::HashMap;
// arg has been reduced to node via reduce_dims, expand it back to arg.
// This has to handle keepdims.
fn broadcast_back(arg: &Tensor, node: &Tensor, reduced_dims: &[usize]) -> Result<Tensor>... | candle/candle-core/src/backprop.rs/0 | {
"file_path": "candle/candle-core/src/backprop.rs",
"repo_id": "candle",
"token_count": 22994
} | 26 |
from langchain_community.chat_models import ChatOpenAI
from langchain_community.embeddings import OpenAIEmbeddings
from langchain_community.vectorstores import Neo4jVector
from langchain_core.output_parsers import StrOutputParser
from langchain_core.prompts import ChatPromptTemplate
from langchain_core.pydantic_v1 impo... | langchain/templates/neo4j-parent/neo4j_parent/chain.py/0 | {
"file_path": "langchain/templates/neo4j-parent/neo4j_parent/chain.py",
"repo_id": "langchain",
"token_count": 415
} | 670 |
<jupyter_start><jupyter_text>LangChain LLM<jupyter_code>%pip install llama-index-llms-langchain
from langchain.llms import OpenAI
from llama_index.llms.langchain import LangChainLLM
llm = LangChainLLM(llm=OpenAI())
response_gen = llm.stream_complete("Hi this is")
for delta in response_gen:
print(delta.delta, end=""... | llama_index/docs/examples/llm/langchain.ipynb/0 | {
"file_path": "llama_index/docs/examples/llm/langchain.ipynb",
"repo_id": "llama_index",
"token_count": 150
} | 1,113 |
export * from "./vectorstores.js";
| langchainjs/libs/langchain-weaviate/src/index.ts/0 | {
"file_path": "langchainjs/libs/langchain-weaviate/src/index.ts",
"repo_id": "langchainjs",
"token_count": 11
} | 1,111 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/datacoord/compaction_test.go/0 | {
"file_path": "milvus/internal/datacoord/compaction_test.go",
"repo_id": "milvus",
"token_count": 7665
} | 1,684 |
{
"[python]": {
"editor.defaultFormatter": "ms-python.black-formatter"
},
"python.formatting.provider": "none",
"python.testing.pytestArgs": [
"candle-pyo3"
],
"python.testing.unittestEnabled": false,
"python.testing.pytestEnabled": true
} | candle/.vscode/settings.json/0 | {
"file_path": "candle/.vscode/settings.json",
"repo_id": "candle",
"token_count": 123
} | 27 |
from langchain import agents
from tests.unit_tests import assert_all_importable
EXPECTED_ALL = [
"Agent",
"AgentExecutor",
"AgentExecutorIterator",
"AgentOutputParser",
"AgentType",
"BaseMultiActionAgent",
"BaseSingleActionAgent",
"ConversationalAgent",
"ConversationalChatAgent",
... | langchain/libs/langchain/tests/unit_tests/agents/test_imports.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/agents/test_imports.py",
"repo_id": "langchain",
"token_count": 533
} | 588 |
// Copyright (C) 2019-2020 Zilliz. All rights reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance
// with the License. You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable l... | milvus/internal/core/src/query/visitors/ShowExprVisitor.cpp/0 | {
"file_path": "milvus/internal/core/src/query/visitors/ShowExprVisitor.cpp",
"repo_id": "milvus",
"token_count": 5925
} | 1,796 |
"""Mock utils."""
import re
from typing import List, Optional, Set
from llama_index.core.indices.keyword_table.utils import simple_extract_keywords
def mock_tokenizer(text: str) -> List[str]:
"""Mock tokenizer."""
tokens = re.split(r"[ \n]", text) # split by space or newline
result = []
for token i... | llama_index/llama-index-core/tests/mock_utils/mock_utils.py/0 | {
"file_path": "llama_index/llama-index-core/tests/mock_utils/mock_utils.py",
"repo_id": "llama_index",
"token_count": 613
} | 1,194 |
import json
import pickle
import pytest
from tokenizers.decoders import (
CTC,
BPEDecoder,
ByteLevel,
Decoder,
Metaspace,
Sequence,
WordPiece,
ByteFallback,
Replace,
Strip,
Fuse,
)
class TestByteLevel:
def test_instantiate(self):
assert ByteLevel() is not None... | tokenizers/bindings/python/tests/bindings/test_decoders.py/0 | {
"file_path": "tokenizers/bindings/python/tests/bindings/test_decoders.py",
"repo_id": "tokenizers",
"token_count": 3521
} | 467 |
from langchain_community.document_loaders.blob_loaders.file_system import (
FileSystemBlobLoader,
)
__all__ = ["FileSystemBlobLoader"]
| langchain/libs/langchain/langchain/document_loaders/blob_loaders/file_system.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/blob_loaders/file_system.py",
"repo_id": "langchain",
"token_count": 48
} | 501 |
# flake8: noqa
# There's no way to ignore "F401 '...' imported but unused" warnings in this
# module, but to preserve other warnings. So, don't check this module at all
# coding=utf-8
# Copyright 2023-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not u... | peft/src/peft/tuners/__init__.py/0 | {
"file_path": "peft/src/peft/tuners/__init__.py",
"repo_id": "peft",
"token_count": 443
} | 316 |
# Load
from langchain.text_splitter import RecursiveCharacterTextSplitter
from langchain_community.chat_models import ChatOllama
from langchain_community.document_loaders import WebBaseLoader
from langchain_community.embeddings import GPT4AllEmbeddings
from langchain_community.vectorstores import Chroma
from langchain_... | langchain/templates/rag-chroma-private/rag_chroma_private/chain.py/0 | {
"file_path": "langchain/templates/rag-chroma-private/rag_chroma_private/chain.py",
"repo_id": "langchain",
"token_count": 544
} | 676 |
# coding=utf-8
# Copyright 2023 MBZUAI and The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#... | transformers/src/transformers/models/swiftformer/configuration_swiftformer.py/0 | {
"file_path": "transformers/src/transformers/models/swiftformer/configuration_swiftformer.py",
"repo_id": "transformers",
"token_count": 2037
} | 748 |
# coding=utf-8
# Copyright 2022 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | transformers/src/transformers/models/mobilenet_v1/convert_original_tf_checkpoint_to_pytorch.py/0 | {
"file_path": "transformers/src/transformers/models/mobilenet_v1/convert_original_tf_checkpoint_to_pytorch.py",
"repo_id": "transformers",
"token_count": 1888
} | 642 |
# coding=utf-8
# Copyright 2024 HuggingFace Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | diffusers/tests/pipelines/stable_diffusion_xl/test_stable_diffusion_xl_img2img.py/0 | {
"file_path": "diffusers/tests/pipelines/stable_diffusion_xl/test_stable_diffusion_xl_img2img.py",
"repo_id": "diffusers",
"token_count": 14477
} | 293 |
<!--Copyright 2022 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/es/pipeline_tutorial.md/0 | {
"file_path": "transformers/docs/source/es/pipeline_tutorial.md",
"repo_id": "transformers",
"token_count": 2286
} | 528 |
<jupyter_start><jupyter_text>If you're opening this Notebook on colab, you will probably need to install 🤗 Transformers and 🤗 Datasets. Uncomment the following cell and run it.<jupyter_code>#! pip install datasets transformers seqeval<jupyter_output><empty_output><jupyter_text>If you're opening this notebook locally,... | notebooks/examples/token_classification.ipynb/0 | {
"file_path": "notebooks/examples/token_classification.ipynb",
"repo_id": "notebooks",
"token_count": 7204
} | 312 |
<jupyter_start><jupyter_text>Retry parserWhile in some cases it is possible to fix any parsing mistakes by only looking at the output, in other cases it isn't. An example of this is when the output is not just in the incorrect format, but is partially complete. Consider the below example.<jupyter_code>from langchain.ou... | langchain/docs/docs/modules/model_io/output_parsers/types/retry.ipynb/0 | {
"file_path": "langchain/docs/docs/modules/model_io/output_parsers/types/retry.ipynb",
"repo_id": "langchain",
"token_count": 852
} | 207 |
<!--Copyright 2022 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/ja/tasks/translation.md/0 | {
"file_path": "transformers/docs/source/ja/tasks/translation.md",
"repo_id": "transformers",
"token_count": 7453
} | 527 |
# Copyright (c) Microsoft Corporation and HuggingFace
# Licensed under the MIT License.
import cython
cimport numpy
from cython.parallel cimport parallel, prange
import numpy as np
# Reduce this number if matrices are too big for large graphs
UNREACHABLE_NODE_DISTANCE = 510
def floyd_warshall(adjacency_matrix):
... | transformers/src/transformers/models/graphormer/algos_graphormer.pyx/0 | {
"file_path": "transformers/src/transformers/models/graphormer/algos_graphormer.pyx",
"repo_id": "transformers",
"token_count": 1752
} | 613 |
---
hide_table_of_contents: true
---
import CodeBlock from "@theme/CodeBlock";
# Motörhead Memory
[Motörhead](https://github.com/getmetal/motorhead) is a memory server implemented in Rust. It automatically handles incremental summarization in the background and allows for stateless applications.
## Setup
See instr... | langchainjs/docs/core_docs/docs/integrations/chat_memory/motorhead_memory.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/chat_memory/motorhead_memory.mdx",
"repo_id": "langchainjs",
"token_count": 229
} | 711 |
"""**Chat Loaders** load chat messages from common communications platforms.
Load chat messages from various
communications platforms such as Facebook Messenger, Telegram, and
WhatsApp. The loaded chat messages can be used for fine-tuning models.
**Class hierarchy:**
.. code-block::
BaseChatLoader --> <name>Cha... | langchain/libs/langchain/langchain/chat_loaders/__init__.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chat_loaders/__init__.py",
"repo_id": "langchain",
"token_count": 121
} | 501 |
<jupyter_start><jupyter_text>Hugging Face x Amazon SageMaker - Asynchronous Inference with Hugging Face's Transformers Welcome to this getting started guide. We will use the Hugging Face Inference DLCs and Amazon SageMaker Python SDK to run an [Asynchronous Inference](https://docs.aws.amazon.com/sagemaker/latest/dg/asy... | notebooks/sagemaker/16_async_inference_hf_hub/sagemaker-notebook.ipynb/0 | {
"file_path": "notebooks/sagemaker/16_async_inference_hf_hub/sagemaker-notebook.ipynb",
"repo_id": "notebooks",
"token_count": 4049
} | 316 |
version: 2.1
setup: true
orbs:
continuation: circleci/continuation@0.1.0
parameters:
nightly:
type: boolean
default: false
jobs:
# Ensure running with CircleCI/huggingface
check_circleci_user:
docker:
- image: cimg/python:3.8.12
parallelism: 1
steps:... | transformers/.circleci/config.yml/0 | {
"file_path": "transformers/.circleci/config.yml",
"repo_id": "transformers",
"token_count": 5200
} | 488 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/llms/llama-index-llms-anyscale/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-anyscale/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,343 |
# coding=utf-8
# Copyright 2022 Microsoft Research, Inc. and The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/lice... | transformers/src/transformers/models/resnet/modeling_resnet.py/0 | {
"file_path": "transformers/src/transformers/models/resnet/modeling_resnet.py",
"repo_id": "transformers",
"token_count": 8017
} | 674 |
"""Langchain memory wrapper (for LlamaIndex)."""
from typing import Any, Dict, List, Optional
from llama_index.core.bridge.langchain import (
AIMessage,
BaseChatMemory,
BaseMessage,
HumanMessage,
)
from llama_index.core.bridge.langchain import BaseMemory as Memory
from llama_index.core.bridge.pydantic... | llama_index/llama-index-core/llama_index/core/langchain_helpers/memory_wrapper.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/langchain_helpers/memory_wrapper.py",
"repo_id": "llama_index",
"token_count": 3235
} | 1,185 |
<jupyter_start><jupyter_code>from transformers import AutoModelForCausalLM
from peft import PeftModel, PeftConfig
import torch
from datasets import load_dataset
import os
from transformers import AutoTokenizer
from torch.utils.data import DataLoader
from transformers import default_data_collator, get_linear_schedule_wi... | peft/examples/causal_language_modeling/peft_lora_clm_accelerate_big_model_inference.ipynb/0 | {
"file_path": "peft/examples/causal_language_modeling/peft_lora_clm_accelerate_big_model_inference.ipynb",
"repo_id": "peft",
"token_count": 2945
} | 325 |
import { test, expect } from "@jest/globals";
import { Document } from "@langchain/core/documents";
import { FakeEmbeddings } from "@langchain/core/utils/testing";
import { CloseVectorNode } from "../closevector/node.js";
test("Test CloseVectorNode.fromTexts + addVectors", async () => {
const vectorStore = await Clo... | langchainjs/libs/langchain-community/src/vectorstores/tests/closevector_node.test.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/vectorstores/tests/closevector_node.test.ts",
"repo_id": "langchainjs",
"token_count": 707
} | 1,006 |
#!/bin/bash
export CUDA_VISIBLE_DEVICES=0
PATH_TO_DATA=/h/xinji/projects/GLUE
MODEL_TYPE=bert # bert or roberta
MODEL_SIZE=base # base or large
DATASET=MRPC # SST-2, MRPC, RTE, QNLI, QQP, or MNLI
MODEL_NAME=${MODEL_TYPE}-${MODEL_SIZE}
if [ $MODEL_TYPE = 'bert' ]
then
MODEL_NAME=${MODEL_NAME}-uncased
fi
python... | transformers/examples/research_projects/deebert/eval_deebert.sh/0 | {
"file_path": "transformers/examples/research_projects/deebert/eval_deebert.sh",
"repo_id": "transformers",
"token_count": 360
} | 558 |
<!--Copyright 2021 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/xls_r.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/xls_r.md",
"repo_id": "transformers",
"token_count": 782
} | 474 |
"""
GitHub API client for collaborators.
"""
import os
from typing import Any, Dict, Optional, Protocol
class BaseGitHubCollaboratorsClient(Protocol):
def get_all_endpoints(self) -> Dict[str, str]:
...
async def request(
self,
endpoint: str,
method: str,
headers: Dict... | llama_index/llama-index-integrations/readers/llama-index-readers-github/llama_index/readers/github/collaborators/github_client.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-github/llama_index/readers/github/collaborators/github_client.py",
"repo_id": "llama_index",
"token_count": 2810
} | 1,357 |
search_performance:
collections:
-
server:
db_config.primary_path: /test/milvus/db_data_011/sift_10m_128_l2_ivf_flat_16384
cache_config.cpu_cache_capacity: 32GB
engine_config.use_blas_threshold: 0
engine_config.gpu_search_threshold: 100
gpu_resource_config.enable: tru... | milvus/tests/benchmark/milvus_benchmark/suites/011_gpu_search_sift10m_ivf.yaml/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/suites/011_gpu_search_sift10m_ivf.yaml",
"repo_id": "milvus",
"token_count": 801
} | 1,946 |
poetry_requirements(
name="poetry",
)
python_requirements(
name="reqs",
)
| llama_index/llama-index-packs/llama-index-packs-multi-tenancy-rag/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-multi-tenancy-rag/BUILD",
"repo_id": "llama_index",
"token_count": 36
} | 1,661 |
# Wav2Vec2 Contrastive Loss PreTraining examples
The following example showcases how to pretrain a wav2vec2 model using the JAX/Flax backend.
Pretraining Wav2Vec2 is rather complex, so it is highly recommended to read the
[official paper](https://arxiv.org/abs/2006.11477).
JAX/Flax allows you to trace pure functions... | transformers/examples/research_projects/jax-projects/wav2vec2/README.md/0 | {
"file_path": "transformers/examples/research_projects/jax-projects/wav2vec2/README.md",
"repo_id": "transformers",
"token_count": 1507
} | 564 |
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | transformers/src/transformers/models/swiftformer/convert_swiftformer_original_to_hf.py/0 | {
"file_path": "transformers/src/transformers/models/swiftformer/convert_swiftformer_original_to_hf.py",
"repo_id": "transformers",
"token_count": 2556
} | 735 |
from llama_index.core.tools.tool_spec.base import BaseToolSpec
from llama_index.tools.openapi import OpenAPIToolSpec
def test_class():
names_of_base_classes = [b.__name__ for b in OpenAPIToolSpec.__mro__]
assert BaseToolSpec.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/tools/llama-index-tools-openapi/tests/test_tools_openapi.py/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-openapi/tests/test_tools_openapi.py",
"repo_id": "llama_index",
"token_count": 96
} | 1,491 |
import datetime
from typing import Any, Dict, List, Optional, Union, cast
from llama_index.core.bridge.pydantic import BaseModel
from llama_index.core.callbacks.base_handler import BaseCallbackHandler
from llama_index.core.callbacks.schema import CBEventType, EventPayload
from llama_index.core.llms import ChatMessage
... | llama_index/llama-index-integrations/callbacks/llama-index-callbacks-promptlayer/llama_index/callbacks/promptlayer/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/callbacks/llama-index-callbacks-promptlayer/llama_index/callbacks/promptlayer/base.py",
"repo_id": "llama_index",
"token_count": 2386
} | 1,295 |
from typing import Any, Iterator, List
from langchain_core.documents import Document
from langchain_community.document_loaders.base import BaseLoader
class BaiduBOSDirectoryLoader(BaseLoader):
"""Load from `Baidu BOS directory`."""
def __init__(self, conf: Any, bucket: str, prefix: str = ""):
"""In... | langchain/libs/community/langchain_community/document_loaders/baiducloud_bos_directory.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/baiducloud_bos_directory.py",
"repo_id": "langchain",
"token_count": 860
} | 250 |
# LangChain Documentation
For more information on contributing to our documentation, see the [Documentation Contributing Guide](https://python.langchain.com/docs/contributing/documentation)
| langchain/docs/README.md/0 | {
"file_path": "langchain/docs/README.md",
"repo_id": "langchain",
"token_count": 43
} | 84 |
// Code generated from Plan.g4 by ANTLR 4.9. DO NOT EDIT.
package planparserv2 // Plan
import "github.com/antlr/antlr4/runtime/Go/antlr"
type BasePlanVisitor struct {
*antlr.BaseParseTreeVisitor
}
func (v *BasePlanVisitor) VisitJSONIdentifier(ctx *JSONIdentifierContext) interface{} {
return v.VisitChildren(ctx)
}
... | milvus/internal/parser/planparserv2/generated/plan_base_visitor.go/0 | {
"file_path": "milvus/internal/parser/planparserv2/generated/plan_base_visitor.go",
"repo_id": "milvus",
"token_count": 1197
} | 2,007 |
<jupyter_start><jupyter_text>Customizing Conversational MemoryThis notebook walks through a few ways to customize conversational memory.<jupyter_code>from langchain.chains import ConversationChain
from langchain.memory import ConversationBufferMemory
from langchain_openai import OpenAI
llm = OpenAI(temperature=0)<jupy... | langchain/docs/docs/modules/memory/conversational_customization.ipynb/0 | {
"file_path": "langchain/docs/docs/modules/memory/conversational_customization.ipynb",
"repo_id": "langchain",
"token_count": 1086
} | 203 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/util/mock/health_watch_server.go/0 | {
"file_path": "milvus/internal/util/mock/health_watch_server.go",
"repo_id": "milvus",
"token_count": 560
} | 1,905 |
compute_environment: LOCAL_MACHINE
debug: false
deepspeed_config:
deepspeed_multinode_launcher: standard
offload_optimizer_device: none
offload_param_device: none
zero3_init_flag: true
zero3_save_16bit_model: true
zero_stage: 3
distributed_type: DEEPSPEED
downcast_bf16: 'no'
machine_rank: 0
main_training_fu... | alignment-handbook/recipes/accelerate_configs/deepspeed_zero3.yaml/0 | {
"file_path": "alignment-handbook/recipes/accelerate_configs/deepspeed_zero3.yaml",
"repo_id": "alignment-handbook",
"token_count": 193
} | 18 |
import threading
from time import time, sleep
import pytest
from pymilvus.grpc_gen.common_pb2 import SegmentState
from pymilvus.exceptions import MilvusException
from base.client_base import TestcaseBase
from common import common_func as cf
from common import common_type as ct
from common.common_type import CaseLabel... | milvus/tests/python_client/testcases/test_compaction.py/0 | {
"file_path": "milvus/tests/python_client/testcases/test_compaction.py",
"repo_id": "milvus",
"token_count": 24682
} | 1,974 |
package migration
import (
"github.com/milvus-io/milvus/cmd/tools/migration/meta"
)
type migrator210To220 struct{}
func (m migrator210To220) Migrate(metas *meta.Meta) (*meta.Meta, error) {
return meta.From210To220(metas)
}
func newMigrator210To220() *migrator210To220 {
return &migrator210To220{}
}
| milvus/cmd/tools/migration/migration/210_to_220.go/0 | {
"file_path": "milvus/cmd/tools/migration/migration/210_to_220.go",
"repo_id": "milvus",
"token_count": 123
} | 1,705 |
<jupyter_start><jupyter_text>Recursively split by characterThis text splitter is the recommended one for generic text. It is parameterized by a list of characters. It tries to split on them in order until the chunks are small enough. The default list is `["\n\n", "\n", " ", ""]`. This has the effect of trying to keep a... | langchain/docs/docs/modules/data_connection/document_transformers/recursive_text_splitter.ipynb/0 | {
"file_path": "langchain/docs/docs/modules/data_connection/document_transformers/recursive_text_splitter.ipynb",
"repo_id": "langchain",
"token_count": 362
} | 200 |
<!---
Copyright 2021 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or ... | transformers/examples/research_projects/jax-projects/model_parallel/README.md/0 | {
"file_path": "transformers/examples/research_projects/jax-projects/model_parallel/README.md",
"repo_id": "transformers",
"token_count": 913
} | 589 |
<script lang="ts">
import type { ActionData, PageData } from "./$types";
import AssistantSettings from "$lib/components/AssistantSettings.svelte";
export let data: PageData;
export let form: ActionData;
</script>
<AssistantSettings bind:form models={data.models} />
| chat-ui/src/routes/settings/assistants/new/+page.svelte/0 | {
"file_path": "chat-ui/src/routes/settings/assistants/new/+page.svelte",
"repo_id": "chat-ui",
"token_count": 80
} | 104 |
use crate::tokenizer::{Encoding, Result};
use serde::{Deserialize, Serialize};
use std::cmp;
use std::mem;
#[derive(Debug, Clone, Copy, PartialEq, Serialize, Deserialize, Eq, Default)]
pub enum TruncationDirection {
Left,
#[default]
Right,
}
impl std::convert::AsRef<str> for TruncationDirection {
fn a... | tokenizers/tokenizers/src/utils/truncation.rs/0 | {
"file_path": "tokenizers/tokenizers/src/utils/truncation.rs",
"repo_id": "tokenizers",
"token_count": 5473
} | 425 |
from llama_index.legacy.node_parser.file.html import HTMLNodeParser
from llama_index.legacy.node_parser.file.json import JSONNodeParser
from llama_index.legacy.node_parser.file.markdown import MarkdownNodeParser
from llama_index.legacy.node_parser.file.simple_file import SimpleFileNodeParser
__all__ = [
"SimpleFil... | llama_index/llama-index-legacy/llama_index/legacy/node_parser/file/__init__.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/node_parser/file/__init__.py",
"repo_id": "llama_index",
"token_count": 136
} | 1,687 |
[target.x86_64-apple-darwin]
rustflags = [
"-C", "link-arg=-undefined",
"-C", "link-arg=dynamic_lookup",
"-C", "link-arg=-mmacosx-version-min=10.11",
]
[target.aarch64-apple-darwin]
rustflags = [
"-C", "link-arg=-undefined",
"-C", "link-arg=dynamic_lookup",
"-C", "link-arg=-mmacosx-version-min=10.11",
]
| tokenizers/bindings/python/.cargo/config.toml/0 | {
"file_path": "tokenizers/bindings/python/.cargo/config.toml",
"repo_id": "tokenizers",
"token_count": 146
} | 459 |
<!--Copyright 2020 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/deberta.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/deberta.md",
"repo_id": "transformers",
"token_count": 2499
} | 501 |
CREATE TABLE segments (
id TEXT PRIMARY KEY,
type TEXT NOT NULL,
scope TEXT NOT NULL,
topic TEXT,
collection TEXT REFERENCES collection(id)
);
CREATE TABLE segment_metadata (
segment_id TEXT REFERENCES segments(id) ON DELETE CASCADE,
key TEXT NOT NULL,
str_value TEXT,
int_value INT... | chroma/chromadb/migrations/sysdb/00002-segments.sqlite.sql/0 | {
"file_path": "chroma/chromadb/migrations/sysdb/00002-segments.sqlite.sql",
"repo_id": "chroma",
"token_count": 148
} | 16 |
from llama_index.packs.retry_engine_weaviate.base import WeaviateRetryEnginePack
__all__ = ["WeaviateRetryEnginePack"]
| llama_index/llama-index-packs/llama-index-packs-retry-engine-weaviate/llama_index/packs/retry_engine_weaviate/__init__.py/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-retry-engine-weaviate/llama_index/packs/retry_engine_weaviate/__init__.py",
"repo_id": "llama_index",
"token_count": 42
} | 1,726 |
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