text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
#
# 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.... | datasets/templates/new_dataset_script.py/0 | {
"file_path": "datasets/templates/new_dataset_script.py",
"repo_id": "datasets",
"token_count": 3156
} | 154 |
<jupyter_start><jupyter_text>Qdrant Hybrid SearchQdrant supports hybrid search by combining search results from `sparse` and `dense` vectors.`dense` vectors are the ones you have probably already been using -- embedding models from OpenAI, BGE, SentenceTransformers, etc. are typically `dense` embedding models. They cre... | llama_index/docs/examples/vector_stores/qdrant_hybrid.ipynb/0 | {
"file_path": "llama_index/docs/examples/vector_stores/qdrant_hybrid.ipynb",
"repo_id": "llama_index",
"token_count": 4432
} | 1,221 |
python_tests()
| llama_index/llama-index-integrations/readers/llama-index-readers-papers/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-papers/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,362 |
import {
ConstitutionalPrinciple,
ConstitutionalChain,
LLMChain,
} from "langchain/chains";
import { OpenAI } from "@langchain/openai";
import { PromptTemplate } from "@langchain/core/prompts";
// LLMs can produce harmful, toxic, or otherwise undesirable outputs. This chain allows you to apply a set of constitut... | langchainjs/examples/src/chains/constitutional_chain.ts/0 | {
"file_path": "langchainjs/examples/src/chains/constitutional_chain.ts",
"repo_id": "langchainjs",
"token_count": 410
} | 774 |
from pathlib import Path
from langchain_community.document_loaders import UnstructuredODTLoader
def test_unstructured_odt_loader() -> None:
"""Test unstructured loader."""
file_path = Path(__file__).parent.parent / "examples/fake.odt"
loader = UnstructuredODTLoader(str(file_path))
docs = loader.load(... | langchain/libs/community/tests/integration_tests/document_loaders/test_odt.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/document_loaders/test_odt.py",
"repo_id": "langchain",
"token_count": 121
} | 343 |
from enum import Enum
from typing import Any, Mapping, Optional, Sequence
from langchain_core.messages import AnyMessage
from langchain_core.runnables import (
ConfigurableField,
ConfigurableFieldMultiOption,
RunnableBinding,
)
from langgraph.checkpoint import CheckpointAt
from app.agent_types.google_agen... | opengpts/backend/app/agent.py/0 | {
"file_path": "opengpts/backend/app/agent.py",
"repo_id": "opengpts",
"token_count": 4896
} | 1,912 |
import unittest
import pytest
from langchain_community.document_loaders.parsers.language.go import GoSegmenter
@pytest.mark.requires("tree_sitter", "tree_sitter_languages")
class TestGoSegmenter(unittest.TestCase):
def setUp(self) -> None:
self.example_code = """func foo(a int) int {
return a;
}
ty... | langchain/libs/community/tests/unit_tests/document_loaders/parsers/language/test_go.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/document_loaders/parsers/language/test_go.py",
"repo_id": "langchain",
"token_count": 600
} | 388 |
import { MistralAIEmbeddings } from "@langchain/mistralai";
/* Embed queries */
const embeddings = new MistralAIEmbeddings({
apiKey: process.env.MISTRAL_API_KEY,
});
const res = await embeddings.embedQuery("Hello world");
console.log(res);
/* Embed documents */
const documentRes = await embeddings.embedDocuments(["H... | langchainjs/examples/src/models/embeddings/mistral.ts/0 | {
"file_path": "langchainjs/examples/src/models/embeddings/mistral.ts",
"repo_id": "langchainjs",
"token_count": 121
} | 836 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-myscale/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-myscale/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,666 |
from setuptools import setup
from torch.utils.cpp_extension import BuildExtension, CUDAExtension
import torch
extra_compile_args = ["-std=c++17"]
if not torch.version.hip:
extra_compile_args.append("-arch=compute_80")
setup(
name="custom_kernels",
ext_modules=[
CUDAExtension(
name="cus... | text-generation-inference/server/custom_kernels/setup.py/0 | {
"file_path": "text-generation-inference/server/custom_kernels/setup.py",
"repo_id": "text-generation-inference",
"token_count": 342
} | 433 |
from langchain_community.tools.sleep.tool import SleepInput, SleepTool
__all__ = ["SleepInput", "SleepTool"]
| langchain/libs/langchain/langchain/tools/sleep/tool.py/0 | {
"file_path": "langchain/libs/langchain/langchain/tools/sleep/tool.py",
"repo_id": "langchain",
"token_count": 32
} | 590 |
# rag-gemini-multi-modal
Multi-modal LLMs enable visual assistants that can perform question-answering about images.
This template create a visual assistant for slide decks, which often contain visuals such as graphs or figures.
It uses OpenCLIP embeddings to embed all of the slide images and stores them in Chroma... | langchain/templates/rag-gemini-multi-modal/README.md/0 | {
"file_path": "langchain/templates/rag-gemini-multi-modal/README.md",
"repo_id": "langchain",
"token_count": 1254
} | 675 |
import asyncio
import functools
import inspect
import json
import os
import time
import warnings
from typing import Any
from unittest.mock import MagicMock, patch
import pytest
from langsmith import Client
from langsmith.run_helpers import (
_get_inputs,
as_runnable,
is_traceable_function,
traceable,
... | langsmith-sdk/python/tests/unit_tests/test_run_helpers.py/0 | {
"file_path": "langsmith-sdk/python/tests/unit_tests/test_run_helpers.py",
"repo_id": "langsmith-sdk",
"token_count": 5348
} | 1,074 |
# Inspired by: https://github.com/haofanwang/ControlNet-for-Diffusers/
import inspect
from typing import Any, Callable, Dict, List, Optional, Tuple, Union
import numpy as np
import PIL.Image
import torch
import torch.nn.functional as F
from transformers import CLIPImageProcessor, CLIPTextModel, CLIPTokenizer
from di... | diffusers/examples/community/stable_diffusion_controlnet_inpaint.py/0 | {
"file_path": "diffusers/examples/community/stable_diffusion_controlnet_inpaint.py",
"repo_id": "diffusers",
"token_count": 25229
} | 211 |
import logging
from typing import Any, List, Optional
from llama_index.legacy.bridge.pydantic import Field, PrivateAttr
from llama_index.legacy.callbacks import CallbackManager
from llama_index.legacy.constants import DEFAULT_EMBED_BATCH_SIZE
from llama_index.legacy.core.embeddings.base import BaseEmbedding
logger = ... | llama_index/llama-index-legacy/llama_index/legacy/embeddings/clarifai.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/embeddings/clarifai.py",
"repo_id": "llama_index",
"token_count": 2362
} | 1,509 |
build_performance:
collections:
-
server:
db_config.primary_path: /test/milvus/db_data_011/sift_10m_100000_128_l2_sq8_4096
cache_config.cpu_cache_capacity: 32GB
engine_config.use_blas_threshold: 1100
engine_config.gpu_search_threshold: 1
gpu_resource_config.enable: tr... | milvus/tests/benchmark/milvus_benchmark/suites/011_gpu_build_debug.yaml/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/suites/011_gpu_build_debug.yaml",
"repo_id": "milvus",
"token_count": 2699
} | 1,969 |
search_performance:
collections:
-
server:
db_config.primary_path: /test/milvus/db_data_010/shards_sift_1m_128_128_l2_insert
wal_enable: true
collection_name: sift_1m_1024_128_l2
run_count: 2
top_ks: [1, 10, 100]
nqs: [1, 10, 100]
search_params:
- nprobe... | milvus/tests/benchmark/milvus_benchmark/suites/shards_search_performance_sift1m.yaml/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/suites/shards_search_performance_sift1m.yaml",
"repo_id": "milvus",
"token_count": 171
} | 1,978 |
// 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/segments/retrieve.go/0 | {
"file_path": "milvus/internal/querynodev2/segments/retrieve.go",
"repo_id": "milvus",
"token_count": 1962
} | 1,844 |
python_tests()
| llama_index/llama-index-integrations/embeddings/llama-index-embeddings-sagemaker-endpoint/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-sagemaker-endpoint/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,272 |
// 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/importutil/json_parser_test.go/0 | {
"file_path": "milvus/internal/util/importutil/json_parser_test.go",
"repo_id": "milvus",
"token_count": 8901
} | 1,797 |
"""Chain that tries to verify assumptions before answering a question.
Heavily borrowed from https://github.com/jagilley/fact-checker
"""
| langchain/libs/langchain/langchain/chains/llm_checker/__init__.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chains/llm_checker/__init__.py",
"repo_id": "langchain",
"token_count": 37
} | 462 |
python_sources()
| llama_index/llama-index-packs/llama-index-packs-fusion-retriever/examples/hybrid_fusion/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-fusion-retriever/examples/hybrid_fusion/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,565 |
import {
type EvalResults,
type RunOnDatasetParams,
runOnDataset,
} from "./runner_utils.js";
export { type EvalResults, type RunOnDatasetParams, runOnDataset };
export * from "./config.js";
| langchainjs/langchain/src/smith/index.ts/0 | {
"file_path": "langchainjs/langchain/src/smith/index.ts",
"repo_id": "langchainjs",
"token_count": 72
} | 909 |
# coding=utf-8
# Copyright 2023 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/efficientformer/test_modeling_tf_efficientformer.py/0 | {
"file_path": "transformers/tests/models/efficientformer/test_modeling_tf_efficientformer.py",
"repo_id": "transformers",
"token_count": 7249
} | 758 |
import os
import tempfile
from datetime import datetime, timedelta
import requests
from langchain.text_splitter import CharacterTextSplitter
from langchain_community.document_loaders import JSONLoader
from langchain_community.embeddings.openai import OpenAIEmbeddings
from langchain_community.vectorstores.timescalevect... | langchain/templates/rag-timescale-conversation/rag_timescale_conversation/load_sample_dataset.py/0 | {
"file_path": "langchain/templates/rag-timescale-conversation/rag_timescale_conversation/load_sample_dataset.py",
"repo_id": "langchain",
"token_count": 1026
} | 749 |
pub const WITH_TIMER: bool = true;
struct Timer {
label: &'static str,
}
// impl Timer {
// fn new(label: &'static str) -> Self {
// if WITH_TIMER {
// web_sys::console::time_with_label(label);
// }
// Self { label }
// }
// }
impl Drop for Timer {
fn drop(&mut sel... | candle/candle-wasm-examples/whisper/src/lib.rs/0 | {
"file_path": "candle/candle-wasm-examples/whisper/src/lib.rs",
"repo_id": "candle",
"token_count": 252
} | 93 |
poetry_requirements(
name="poetry",
)
python_requirements(
name="reqs",
)
| llama_index/llama-index-integrations/readers/llama-index-readers-opensearch/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-opensearch/BUILD",
"repo_id": "llama_index",
"token_count": 36
} | 1,411 |
# 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/modeling_swiftformer.py/0 | {
"file_path": "transformers/src/transformers/models/swiftformer/modeling_swiftformer.py",
"repo_id": "transformers",
"token_count": 9784
} | 726 |
from langchain_community.chat_loaders.langsmith import (
LangSmithDatasetChatLoader,
LangSmithRunChatLoader,
)
__all__ = ["LangSmithRunChatLoader", "LangSmithDatasetChatLoader"]
| langchain/libs/langchain/langchain/chat_loaders/langsmith.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chat_loaders/langsmith.py",
"repo_id": "langchain",
"token_count": 64
} | 468 |
"""Util that calls Google Lens Search."""
from typing import Any, Dict, Optional, cast
import requests
from langchain_core.pydantic_v1 import BaseModel, Extra, SecretStr, root_validator
from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env
class GoogleLensAPIWrapper(BaseModel):
"""Wrapper... | langchain/libs/community/langchain_community/utilities/google_lens.py/0 | {
"file_path": "langchain/libs/community/langchain_community/utilities/google_lens.py",
"repo_id": "langchain",
"token_count": 1211
} | 300 |
<jupyter_start><jupyter_text>RST>A [reStructured Text (RST)](https://en.wikipedia.org/wiki/ReStructuredText) file is a file format for textual data used primarily in the Python programming language community for technical documentation. `UnstructuredRSTLoader`You can load data from RST files with `UnstructuredRSTLoade... | langchain/docs/docs/integrations/document_loaders/rst.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/document_loaders/rst.ipynb",
"repo_id": "langchain",
"token_count": 240
} | 118 |
import sys
import traceback
from importlib.machinery import SourceFileLoader
if __name__ == "__main__":
files = sys.argv[1:]
has_failure = False
for file in files:
try:
SourceFileLoader("x", file).load_module()
except Exception:
has_faillure = True
print(... | langchain/libs/partners/google-vertexai/scripts/check_imports.py/0 | {
"file_path": "langchain/libs/partners/google-vertexai/scripts/check_imports.py",
"repo_id": "langchain",
"token_count": 207
} | 687 |
"""Init file."""
from llama_index.readers.file.pymu_pdf.base import (
PyMuPDFReader,
)
__all__ = ["PyMuPDFReader"]
| llama_index/llama-index-integrations/readers/llama-index-readers-file/llama_index/readers/file/pymu_pdf/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-file/llama_index/readers/file/pymu_pdf/__init__.py",
"repo_id": "llama_index",
"token_count": 51
} | 1,369 |
# 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 applicabl... | transformers/src/transformers/utils/versions.py/0 | {
"file_path": "transformers/src/transformers/utils/versions.py",
"repo_id": "transformers",
"token_count": 1705
} | 773 |
<jupyter_start><jupyter_text>Small-to-big Retrieval PackThis LlamaPack provides an example of our small-to-big retrieval (with recursive retrieval).<jupyter_code>import nest_asyncio
nest_asyncio.apply()<jupyter_output><empty_output><jupyter_text>Setup Data<jupyter_code>!wget "https://www.dropbox.com/s/f6bmb19xdg0xedm/... | llama_index/llama-index-packs/llama-index-packs-recursive-retriever/examples/small_to_big.ipynb/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-recursive-retriever/examples/small_to_big.ipynb",
"repo_id": "llama_index",
"token_count": 580
} | 1,811 |
import os
import torch
from datasets import load_dataset
from torch.utils.data import DataLoader
from tqdm import tqdm
from transformers import AutoModelForSeq2SeqLM, AutoTokenizer, default_data_collator, get_linear_schedule_with_warmup
from peft import AdaLoraConfig, PeftConfig, PeftModel, TaskType, get_peft_model
... | peft/examples/conditional_generation/peft_adalora_seq2seq.py/0 | {
"file_path": "peft/examples/conditional_generation/peft_adalora_seq2seq.py",
"repo_id": "peft",
"token_count": 2250
} | 326 |
package model
import (
pb "github.com/milvus-io/milvus/internal/proto/etcdpb"
"github.com/milvus-io/milvus/pkg/common"
)
type Partition struct {
PartitionID int64
PartitionName string
PartitionCreatedTimestamp uint64
Extra map[string]string // deprecated.
Collectio... | milvus/internal/metastore/model/partition.go/0 | {
"file_path": "milvus/internal/metastore/model/partition.go",
"repo_id": "milvus",
"token_count": 945
} | 1,722 |
#!/usr/bin/env python
# coding=utf-8
# Copyright 2021 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/LI... | transformers/examples/tensorflow/text-classification/run_text_classification.py/0 | {
"file_path": "transformers/examples/tensorflow/text-classification/run_text_classification.py",
"repo_id": "transformers",
"token_count": 10860
} | 543 |
# Feedly Loader
This loader fetches the entries from a list of RSS feeds subscribed in [Feedly](https://feedly.com). You must initialize the loader with your [Feedly API token](https://developer.feedly.com), and then pass the category name which you want to extract.
## Usage
```python
from llama_index import downloa... | llama_index/llama-index-integrations/readers/llama-index-readers-feedly-rss/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-feedly-rss/README.md",
"repo_id": "llama_index",
"token_count": 181
} | 1,312 |
python_sources()
| llama_index/llama-index-integrations/llms/llama-index-llms-ollama/llama_index/llms/ollama/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-ollama/llama_index/llms/ollama/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,232 |
#!/usr/bin/env sh
alias antlr4='java -Xmx500M -cp "../../../scripts/antlr-4.9-complete.jar:$CLASSPATH" org.antlr.v4.Tool'
rm -fr generated
antlr4 -Dlanguage=Go -package planparserv2 -o generated -no-listener -visitor Plan.g4
| milvus/internal/parser/planparserv2/generate.sh/0 | {
"file_path": "milvus/internal/parser/planparserv2/generate.sh",
"repo_id": "milvus",
"token_count": 93
} | 1,836 |
/* eslint-disable import/first */
import { CheerioWebBaseLoader } from "langchain/document_loaders/web/cheerio";
import { ChatOpenAI, OpenAIEmbeddings } from "@langchain/openai";
const chatModel = new ChatOpenAI({});
const embeddings = new OpenAIEmbeddings({});
const loader = new CheerioWebBaseLoader(
"https://doc... | langchainjs/examples/src/get_started/quickstart3.ts/0 | {
"file_path": "langchainjs/examples/src/get_started/quickstart3.ts",
"repo_id": "langchainjs",
"token_count": 1048
} | 801 |
<jupyter_start><jupyter_text>Bored Llama: BoardDocs in LLaMA Index!This is a fun experiment to see if we can crawl a BoardDocs site to index it for LangChain fun.<jupyter_code>import sys
from llama_index import download_loader
# Use the temporary / staging location to exercise the loader before first checkin lands
Boa... | llama_index/llama-index-integrations/readers/llama-index-readers-boarddocs/examples/BoardDocsReader.ipynb/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-boarddocs/examples/BoardDocsReader.ipynb",
"repo_id": "llama_index",
"token_count": 379
} | 1,413 |
# Metrics
<Tip warning={true}>
Metrics is deprecated in 🤗 Datasets. To learn more about how to use metrics, take a look at the library 🤗 [Evaluate](https://huggingface.co/docs/evaluate/index)! In addition to metrics, you can find more tools for evaluating models and datasets.
</Tip>
Metrics are important for eval... | datasets/docs/source/how_to_metrics.mdx/0 | {
"file_path": "datasets/docs/source/how_to_metrics.mdx",
"repo_id": "datasets",
"token_count": 3350
} | 122 |
from __future__ import annotations
import json
import logging
from typing import (
Any,
Callable,
Dict,
List,
Optional,
Tuple,
Union,
cast,
)
import requests
from langchain_core.embeddings import Embeddings
from langchain_core.pydantic_v1 import BaseModel, Extra, SecretStr, root_valida... | langchain/libs/community/langchain_community/embeddings/voyageai.py/0 | {
"file_path": "langchain/libs/community/langchain_community/embeddings/voyageai.py",
"repo_id": "langchain",
"token_count": 2702
} | 261 |
import logging
import multiprocessing
from multiprocessing.connection import Connection
from typing import Generator, Callable
from hypothesis import given
import hypothesis.strategies as st
import pytest
import chromadb
from chromadb.api import ClientAPI, ServerAPI
from chromadb.config import Settings, System
import c... | chroma/chromadb/test/property/test_persist.py/0 | {
"file_path": "chroma/chromadb/test/property/test_persist.py",
"repo_id": "chroma",
"token_count": 2865
} | 25 |
<jupyter_start><jupyter_text>Typesense Vector Store Download Data<jupyter_code>%pip install llama-index-embeddings-openai
%pip install llama-index-vector-stores-typesense
!mkdir -p 'data/paul_graham/'
!wget 'https://raw.githubusercontent.com/run-llama/llama_index/main/docs/examples/data/paul_graham/paul_graham_essay.t... | llama_index/docs/examples/vector_stores/TypesenseDemo.ipynb/0 | {
"file_path": "llama_index/docs/examples/vector_stores/TypesenseDemo.ipynb",
"repo_id": "llama_index",
"token_count": 845
} | 1,086 |
import { test, expect } from "@jest/globals";
import { Replicate } from "../replicate.js";
// Test skipped because Replicate appears to be timing out often when called
test.skip("Test Replicate", async () => {
const model = new Replicate({
model:
"a16z-infra/llama13b-v2-chat:df7690f1994d94e96ad9d568eac121a... | langchainjs/libs/langchain-community/src/llms/tests/replicate.int.test.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/llms/tests/replicate.int.test.ts",
"repo_id": "langchainjs",
"token_count": 682
} | 948 |
# 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 applicabl... | transformers/src/transformers/debug_utils.py/0 | {
"file_path": "transformers/src/transformers/debug_utils.py",
"repo_id": "transformers",
"token_count": 5154
} | 606 |
<!---
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/tensorflow/question-answering/README.md/0 | {
"file_path": "transformers/examples/tensorflow/question-answering/README.md",
"repo_id": "transformers",
"token_count": 653
} | 584 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/readers/llama-index-readers-obsidian/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-obsidian/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,494 |
[build-system]
build-backend = "poetry.core.masonry.api"
requires = ["poetry-core"]
[tool.codespell]
check-filenames = true
check-hidden = true
skip = "*.csv,*.html,*.json,*.jsonl,*.pdf,*.txt,*.ipynb"
[tool.llamahub]
classes = ["WeaviateReader"]
contains_example = false
import_path = "llama_index.readers.weaviate"
[... | llama_index/llama-index-integrations/readers/llama-index-readers-weaviate/pyproject.toml/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-weaviate/pyproject.toml",
"repo_id": "llama_index",
"token_count": 663
} | 1,393 |
import platform
from argparse import ArgumentParser
import fsspec
import huggingface_hub
import pandas
import pyarrow
from datasets import __version__ as version
from datasets.commands import BaseDatasetsCLICommand
def info_command_factory(_):
return EnvironmentCommand()
class EnvironmentCommand(BaseDatasetsC... | datasets/src/datasets/commands/env.py/0 | {
"file_path": "datasets/src/datasets/commands/env.py",
"repo_id": "datasets",
"token_count": 476
} | 129 |
# Structured Outputs
The ability of LLMs to produce structured outputs are important for downstream applications that rely on reliably parsing output values.
LlamaIndex itself also relies on structured output in the following ways.
- **Document retrieval**: Many data structures within LlamaIndex rely on LLM calls wit... | llama_index/docs/module_guides/querying/structured_outputs/structured_outputs.md/0 | {
"file_path": "llama_index/docs/module_guides/querying/structured_outputs/structured_outputs.md",
"repo_id": "llama_index",
"token_count": 602
} | 1,126 |
from llama_index.callbacks.honeyhive.base import honeyhive_callback_handler
__all__ = ["honeyhive_callback_handler"]
| llama_index/llama-index-integrations/callbacks/llama-index-callbacks-honeyhive/llama_index/callbacks/honeyhive/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/callbacks/llama-index-callbacks-honeyhive/llama_index/callbacks/honeyhive/__init__.py",
"repo_id": "llama_index",
"token_count": 40
} | 1,229 |
import { Tool, type ToolParams } from "@langchain/core/tools";
/**
* Interface for parameters required to create an instance of
* AIPluginTool.
*/
export interface AIPluginToolParams extends ToolParams {
name: string;
description: string;
apiSpec: string;
}
/**
* Class for creating instances of AI tools fro... | langchainjs/libs/langchain-community/src/tools/aiplugin.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/tools/aiplugin.ts",
"repo_id": "langchainjs",
"token_count": 779
} | 1,003 |
from typer.testing import CliRunner
from chromadb.cli.cli import app
from chromadb.cli.utils import set_log_file_path
runner = CliRunner()
def test_app() -> None:
result = runner.invoke(
app,
[
"run",
"--path",
"chroma_test_data",
"--port",
... | chroma/chromadb/test/test_cli.py/0 | {
"file_path": "chroma/chromadb/test/test_cli.py",
"repo_id": "chroma",
"token_count": 307
} | 24 |
<jupyter_start><jupyter_text>Cohere>[Cohere](https://cohere.ai/about) is a Canadian startup that provides natural language processing models that help companies improve human-machine interactions.Head to the [API reference](https://api.python.langchain.com/en/latest/llms/langchain_community.llms.cohere.Cohere.html) for... | langchain/docs/docs/integrations/llms/cohere.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/llms/cohere.ipynb",
"repo_id": "langchain",
"token_count": 607
} | 113 |
package rootcoord
import (
"context"
"encoding/json"
"fmt"
"strings"
"sync"
"testing"
"github.com/cockroachdb/errors"
"github.com/golang/protobuf/proto"
"github.com/stretchr/testify/assert"
"github.com/stretchr/testify/mock"
"github.com/stretchr/testify/require"
"go.uber.org/atomic"
"go.uber.org/zap"
"g... | milvus/internal/metastore/kv/rootcoord/kv_catalog_test.go/0 | {
"file_path": "milvus/internal/metastore/kv/rootcoord/kv_catalog_test.go",
"repo_id": "milvus",
"token_count": 33300
} | 1,826 |
<jupyter_start><jupyter_text>Building an Agent around a Query PipelineIn this cookbook we show you how to build an agent around a query pipeline.Agents offer the ability to do complex, sequential reasoning on top of any query DAG that you have setup. Conceptually this is also one of the ways you can add a "loop" to the... | llama_index/docs/examples/agent/agent_runner/query_pipeline_agent.ipynb/0 | {
"file_path": "llama_index/docs/examples/agent/agent_runner/query_pipeline_agent.ipynb",
"repo_id": "llama_index",
"token_count": 6067
} | 1,169 |
python_tests()
| llama_index/llama-index-integrations/readers/llama-index-readers-qdrant/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-qdrant/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,509 |
from langchain_core.tracers.log_stream import (
LogEntry,
LogStreamCallbackHandler,
RunLog,
RunLogPatch,
RunState,
)
__all__ = ["LogEntry", "RunState", "RunLog", "RunLogPatch", "LogStreamCallbackHandler"]
| langchain/libs/langchain/langchain/callbacks/tracers/log_stream.py/0 | {
"file_path": "langchain/libs/langchain/langchain/callbacks/tracers/log_stream.py",
"repo_id": "langchain",
"token_count": 84
} | 483 |
# Introduction à 🤗 Diffusers
<CourseFloatingBanner unit={1}
classNames="absolute z-10 right-0 top-0"
notebooks={[
{label: "Introduction to Diffusers", value: "https://colab.research.google.com/github/huggingface/diffusion-models-class/blob/main/units/fr/unit1/introduction_to_diffusers.ipynb"},
{label: "In... | diffusion-models-class/units/fr/unit1/2.mdx/0 | {
"file_path": "diffusion-models-class/units/fr/unit1/2.mdx",
"repo_id": "diffusion-models-class",
"token_count": 13425
} | 281 |
# Unstructured.io File Loader
This loader extracts the text from a variety of unstructured text files using [Unstructured.io](https://github.com/Unstructured-IO/unstructured). Currently, the file extensions that are supported are `.txt`, `.docx`, `.pptx`, `.jpg`, `.png`, `.eml`, `.html`, and `.pdf` documents. A single... | llama_index/llama-index-integrations/readers/llama-index-readers-file/llama_index/readers/file/unstructured/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-file/llama_index/readers/file/unstructured/README.md",
"repo_id": "llama_index",
"token_count": 761
} | 1,296 |
export const extname = (path: string) => `.${path.split(".").pop()}`;
| langchainjs/langchain/src/util/extname.ts/0 | {
"file_path": "langchainjs/langchain/src/util/extname.ts",
"repo_id": "langchainjs",
"token_count": 26
} | 960 |
MIT License
Copyright (c) 2023 langchain-ai
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, dist... | langchain-aiplugin/LICENSE/0 | {
"file_path": "langchain-aiplugin/LICENSE",
"repo_id": "langchain-aiplugin",
"token_count": 276
} | 66 |
import hashlib
import logging
from functools import cached_property
from tenacity import stop_after_attempt, wait_random, retry, retry_if_exception
from chromadb.api.types import (
Document,
Documents,
Embedding,
Image,
Images,
EmbeddingFunction,
Embeddings,
is_image,
is_document,
... | chroma/chromadb/utils/embedding_functions.py/0 | {
"file_path": "chroma/chromadb/utils/embedding_functions.py",
"repo_id": "chroma",
"token_count": 14431
} | 28 |
import { PUBLIC_APP_ASSETS } from "$env/static/public";
export const isHuggingChat = PUBLIC_APP_ASSETS === "huggingchat";
| chat-ui/src/lib/utils/isHuggingChat.ts/0 | {
"file_path": "chat-ui/src/lib/utils/isHuggingChat.ts",
"repo_id": "chat-ui",
"token_count": 40
} | 108 |
# 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 applicabl... | trl/trl/trainer/base.py/0 | {
"file_path": "trl/trl/trainer/base.py",
"repo_id": "trl",
"token_count": 538
} | 793 |
export * from "./chat_models.js";
export * from "./llms.js";
export * from "./embeddings.js";
export * from "./rerank.js";
| langchainjs/libs/langchain-cohere/src/index.ts/0 | {
"file_path": "langchainjs/libs/langchain-cohere/src/index.ts",
"repo_id": "langchainjs",
"token_count": 46
} | 933 |
from llama_index.core.tools.tool_spec.base import BaseToolSpec
from llama_index.tools.code_interpreter import CodeInterpreterToolSpec
def test_class():
names_of_base_classes = [b.__name__ for b in CodeInterpreterToolSpec.__mro__]
assert BaseToolSpec.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/tools/llama-index-tools-code-interpreter/tests/test_tools_code_interpreter.py/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-code-interpreter/tests/test_tools_code_interpreter.py",
"repo_id": "llama_index",
"token_count": 101
} | 1,563 |
import argparse
import re
import torch
import yaml
from transformers import (
CLIPProcessor,
CLIPTextModel,
CLIPTokenizer,
CLIPVisionModelWithProjection,
)
from diffusers import (
AutoencoderKL,
DDIMScheduler,
StableDiffusionGLIGENPipeline,
StableDiffusionGLIGENTextImagePipeline,
U... | diffusers/scripts/convert_gligen_to_diffusers.py/0 | {
"file_path": "diffusers/scripts/convert_gligen_to_diffusers.py",
"repo_id": "diffusers",
"token_count": 11150
} | 222 |
import { getEnvironmentVariable } from "@langchain/core/utils/env";
import { Tool } from "@langchain/core/tools";
/**
* Interface for parameters required by GoogleCustomSearch class.
*/
export interface GoogleCustomSearchParams {
apiKey?: string;
googleCSEId?: string;
}
/**
* Class that uses the Google Search ... | langchainjs/libs/langchain-community/src/tools/google_custom_search.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/tools/google_custom_search.ts",
"repo_id": "langchainjs",
"token_count": 847
} | 998 |
# coding=utf-8
# Copyright 2021 Google AI and 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 ... | transformers/tests/models/canine/test_tokenization_canine.py/0 | {
"file_path": "transformers/tests/models/canine/test_tokenization_canine.py",
"repo_id": "transformers",
"token_count": 7133
} | 736 |
# 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/timesformer/test_modeling_timesformer.py/0 | {
"file_path": "transformers/tests/models/timesformer/test_modeling_timesformer.py",
"repo_id": "transformers",
"token_count": 5998
} | 752 |
from llama_index.vector_stores.opensearch.base import (
OpensearchVectorStore,
OpensearchVectorClient,
)
__all__ = ["OpensearchVectorStore", "OpensearchVectorClient"]
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-opensearch/llama_index/vector_stores/opensearch/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-opensearch/llama_index/vector_stores/opensearch/__init__.py",
"repo_id": "llama_index",
"token_count": 60
} | 1,530 |
import { BaseChatIflytekXinghuo } from "./common.js";
import {
WebSocketStreamOptions,
BaseWebSocketStream,
} from "../../utils/iflytek_websocket_stream.js";
class WebSocketStream extends BaseWebSocketStream<string> {
openWebSocket(url: string, options: WebSocketStreamOptions): WebSocket {
return new WebSock... | langchainjs/libs/langchain-community/src/chat_models/iflytek_xinghuo/web.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/chat_models/iflytek_xinghuo/web.ts",
"repo_id": "langchainjs",
"token_count": 671
} | 949 |
python_tests()
| llama_index/llama-index-integrations/llms/llama-index-llms-huggingface/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-huggingface/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,259 |
export async function GET({ locals }) {
if (locals.user) {
const res = {
id: locals.user._id,
username: locals.user.username,
name: locals.user.name,
email: locals.user.email,
avatarUrl: locals.user.avatarUrl,
hfUserId: locals.user.hfUserId,
};
return Response.json(res);
}
return Response.js... | chat-ui/src/routes/api/user/+server.ts/0 | {
"file_path": "chat-ui/src/routes/api/user/+server.ts",
"repo_id": "chat-ui",
"token_count": 148
} | 116 |
import { NodeHandler, ASTParser } from "./base.js";
import { PropertyAssignmentType } from "./types.js";
/**
* Handler for `PropertyAssignment` nodes in an AST. Extends the
* `NodeHandler` base class.
*/
export class PropertyAssignmentHandler extends NodeHandler {
/**
* Checks if a given node is a `PropertyAss... | langchainjs/langchain/src/output_parsers/expression_type_handlers/property_assignment_handler.ts/0 | {
"file_path": "langchainjs/langchain/src/output_parsers/expression_type_handlers/property_assignment_handler.ts",
"repo_id": "langchainjs",
"token_count": 618
} | 937 |
# Kandinsky2.2 text-to-image fine-tuning
Kandinsky 2.2 includes a prior pipeline that generates image embeddings from text prompts, and a decoder pipeline that generates the output image based on the image embeddings. We provide `train_text_to_image_prior.py` and `train_text_to_image_decoder.py` scripts to show you ho... | diffusers/examples/kandinsky2_2/text_to_image/README.md/0 | {
"file_path": "diffusers/examples/kandinsky2_2/text_to_image/README.md",
"repo_id": "diffusers",
"token_count": 4394
} | 194 |
/**
* Prompt for trajectory evaluation chain.
*/
import {
AIMessagePromptTemplate,
ChatPromptTemplate,
HumanMessagePromptTemplate,
SystemMessagePromptTemplate,
} from "@langchain/core/prompts";
const EVAL_TEMPLATE = `An AI language model has been given access to the following set of tools to help answer a u... | langchainjs/langchain/src/evaluation/agents/prompt.ts/0 | {
"file_path": "langchainjs/langchain/src/evaluation/agents/prompt.ts",
"repo_id": "langchainjs",
"token_count": 1727
} | 981 |
# LlamaIndex Readers Integration: Txtai
| llama_index/llama-index-integrations/readers/llama-index-readers-txtai/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-txtai/README.md",
"repo_id": "llama_index",
"token_count": 11
} | 1,387 |
<!--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 applicable law or agreed... | diffusers/docs/source/en/optimization/coreml.md/0 | {
"file_path": "diffusers/docs/source/en/optimization/coreml.md",
"repo_id": "diffusers",
"token_count": 3088
} | 184 |
<jupyter_start><jupyter_text>Output-fixing parserThis output parser wraps another output parser, and in the event that the first one fails it calls out to another LLM to fix any errors.But we can do other things besides throw errors. Specifically, we can pass the misformatted output, along with the formatted instructio... | langchain/docs/docs/modules/model_io/output_parsers/types/output_fixing.ipynb/0 | {
"file_path": "langchain/docs/docs/modules/model_io/output_parsers/types/output_fixing.ipynb",
"repo_id": "langchain",
"token_count": 425
} | 192 |
import json
import logging
import os
import tempfile
import time
from abc import ABC
from io import StringIO
from pathlib import Path
from typing import Any, Dict, Iterator, List, Mapping, Optional, Sequence, Union
from urllib.parse import urlparse
import requests
from langchain_core.documents import Document
from lan... | langchain/libs/community/langchain_community/document_loaders/pdf.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/pdf.py",
"repo_id": "langchain",
"token_count": 11959
} | 259 |
from llama_index.core.vector_stores.types import VectorStore
from llama_index.vector_stores.epsilla import EpsillaVectorStore
def test_class():
names_of_base_classes = [b.__name__ for b in EpsillaVectorStore.__mro__]
assert VectorStore.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-epsilla/tests/test_vector_stores_epsilla.py/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-epsilla/tests/test_vector_stores_epsilla.py",
"repo_id": "llama_index",
"token_count": 92
} | 1,527 |
from arguments import TokenizerTrainingArguments
from datasets import load_dataset
from tqdm import tqdm
from transformers import AutoTokenizer, HfArgumentParser
from transformers.models.gpt2.tokenization_gpt2 import bytes_to_unicode
# Iterator for Training
def batch_iterator(batch_size=10):
for _ in tqdm(range(... | transformers/examples/research_projects/codeparrot/scripts/bpe_training.py/0 | {
"file_path": "transformers/examples/research_projects/codeparrot/scripts/bpe_training.py",
"repo_id": "transformers",
"token_count": 347
} | 537 |
from llama_index.vector_stores.pgvecto_rs.base import PGVectoRsStore
__all__ = ["PGVectoRsStore"]
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-pgvecto-rs/llama_index/vector_stores/pgvecto_rs/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-pgvecto-rs/llama_index/vector_stores/pgvecto_rs/__init__.py",
"repo_id": "llama_index",
"token_count": 40
} | 1,614 |
# 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/utils/torch_utils.py/0 | {
"file_path": "diffusers/src/diffusers/utils/torch_utils.py",
"repo_id": "diffusers",
"token_count": 2337
} | 264 |
# flake8: noqa
from langchain.prompts.prompt import PromptTemplate
PROMPT_SUFFIX = """Only use the following tables:
{table_info}
Question: {input}"""
_VECTOR_SQL_DEFAULT_TEMPLATE = """You are a {dialect} expert. Given an input question, first create a syntactically correct {dialect} query to run, then look at the ... | langchain/libs/experimental/langchain_experimental/sql/prompt.py/0 | {
"file_path": "langchain/libs/experimental/langchain_experimental/sql/prompt.py",
"repo_id": "langchain",
"token_count": 1237
} | 423 |
import logging
import re
from pathlib import Path
from typing import Any, Iterator, List, Mapping, Optional
from langchain_core.documents import Document
from langchain_community.document_loaders.base import BaseLoader
from langchain_community.utilities.bibtex import BibtexparserWrapper
logger = logging.getLogger(__... | langchain/libs/community/langchain_community/document_loaders/bibtex.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/bibtex.py",
"repo_id": "langchain",
"token_count": 1705
} | 232 |
// Code generated by mockery v2.32.4. DO NOT EDIT.
package mocks
import (
context "context"
commonpb "github.com/milvus-io/milvus-proto/go-api/v2/commonpb"
grpc "google.golang.org/grpc"
internalpb "github.com/milvus-io/milvus/internal/proto/internalpb"
milvuspb "github.com/milvus-io/milvus-proto/go-api/v2/mi... | milvus/internal/mocks/mock_querynode_client.go/0 | {
"file_path": "milvus/internal/mocks/mock_querynode_client.go",
"repo_id": "milvus",
"token_count": 25834
} | 1,865 |
# coding=utf-8
# Copyright 2023 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 requi... | transformers/src/transformers/models/fuyu/modeling_fuyu.py/0 | {
"file_path": "transformers/src/transformers/models/fuyu/modeling_fuyu.py",
"repo_id": "transformers",
"token_count": 7181
} | 675 |
"""Vanna AI Pack.
Uses: https://vanna.ai/.
"""
from typing import Any, Dict, Optional, cast
from llama_index.core.llama_pack.base import BaseLlamaPack
from llama_index.core.query_engine import CustomQueryEngine
import pandas as pd
from llama_index.core.base.response.schema import RESPONSE_TYPE, Response
class Van... | llama_index/llama-index-packs/llama-index-packs-vanna/llama_index/packs/vanna/base.py/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-vanna/llama_index/packs/vanna/base.py",
"repo_id": "llama_index",
"token_count": 1646
} | 1,600 |
from __future__ import annotations
import inspect
from typing import (
TYPE_CHECKING,
Any,
Callable,
Dict,
List,
Optional,
Sequence,
Type,
Union,
)
from langchain_core.chat_history import BaseChatMessageHistory
from langchain_core.load.load import load
from langchain_core.pydantic_... | langchain/libs/core/langchain_core/runnables/history.py/0 | {
"file_path": "langchain/libs/core/langchain_core/runnables/history.py",
"repo_id": "langchain",
"token_count": 8381
} | 407 |
// 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/storage/utils.go/0 | {
"file_path": "milvus/internal/storage/utils.go",
"repo_id": "milvus",
"token_count": 13607
} | 1,932 |
poetry_requirements(
name="poetry",
)
python_requirements(
name="reqs",
)
| llama_index/llama-index-integrations/readers/llama-index-readers-linear/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-linear/BUILD",
"repo_id": "llama_index",
"token_count": 36
} | 1,392 |
// Inlined from https://github.com/flexdinesh/browser-or-node
import { __version__ } from "../index.js";
declare global {
const Deno:
| {
version: {
deno: string;
};
}
| undefined;
}
let globalEnv: string;
export const isBrowser = () =>
typeof window !== "undefined" && type... | langsmith-sdk/js/src/utils/env.ts/0 | {
"file_path": "langsmith-sdk/js/src/utils/env.ts",
"repo_id": "langsmith-sdk",
"token_count": 2635
} | 1,078 |
// 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/pkg/log/log.go/0 | {
"file_path": "milvus/pkg/log/log.go",
"repo_id": "milvus",
"token_count": 2652
} | 1,818 |
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