text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
import type { BaseLanguageModelCallOptions } from "@langchain/core/language_models/base";
import { BaseChatModel } from "@langchain/core/language_models/chat_models";
import { CallbackManagerForLLMRun } from "@langchain/core/callbacks/manager";
import {
AIMessage,
AIMessageChunk,
BaseMessage,
ChatMessage,
} fro... | langchainjs/libs/langchain-community/src/chat_models/googlevertexai/common.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/chat_models/googlevertexai/common.ts",
"repo_id": "langchainjs",
"token_count": 4018
} | 1,017 |
from typing import Any, AsyncGenerator, Generator, List, Sequence
from unittest.mock import MagicMock, patch
import pytest
from llama_index.agent.openai.base import OpenAIAgent
from llama_index.agent.openai.step import call_tool_with_error_handling
from llama_index.core.base.llms.types import ChatMessage, ChatResponse... | llama_index/llama-index-integrations/agent/llama-index-agent-openai/tests/test_openai_agent.py/0 | {
"file_path": "llama_index/llama-index-integrations/agent/llama-index-agent-openai/tests/test_openai_agent.py",
"repo_id": "llama_index",
"token_count": 4479
} | 1,289 |
#!/usr/bin/env python3
# coding=utf-8
# Copyright 2020 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
#
# Unles... | transformers/utils/print_env.py/0 | {
"file_path": "transformers/utils/print_env.py",
"repo_id": "transformers",
"token_count": 546
} | 857 |
<script lang="ts">
import { createEventDispatcher } from "svelte";
import Modal from "$lib/components/Modal.svelte";
import CarbonClose from "~icons/carbon/close";
import CarbonTrashCan from "~icons/carbon/trash-can";
import CarbonArrowUpRight from "~icons/carbon/arrow-up-right";
import { enhance } from "$app/f... | chat-ui/src/routes/settings/+page.svelte/0 | {
"file_path": "chat-ui/src/routes/settings/+page.svelte",
"repo_id": "chat-ui",
"token_count": 1373
} | 110 |
"""ReAct agent.
Simple wrapper around AgentRunner + ReActAgentWorker.
For the legacy implementation see:
```python
from llama_index.core.agent.legacy.react.base import ReActAgent
```
"""
| llama_index/llama-index-core/llama_index/core/agent/react/agent.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/agent/react/agent.py",
"repo_id": "llama_index",
"token_count": 59
} | 1,116 |
"""This module contains all classes used for composing graphs over indices."""
from llama_index.core.indices.composability.graph import ComposableGraph
__all__ = ["ComposableGraph"]
| llama_index/llama-index-core/llama_index/core/indices/composability/__init__.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/indices/composability/__init__.py",
"repo_id": "llama_index",
"token_count": 49
} | 1,175 |
#pragma once
#include <cstdarg>
#include <cstdint>
#include <cstdlib>
#include <ostream>
#include <new>
enum class TantivyDataType : uint8_t {
Keyword,
I64,
F64,
Bool,
};
struct RustArray {
uint32_t *array;
size_t len;
size_t cap;
};
extern "C" {
void free_rust_array(RustArray array);
void *tantivy_... | milvus/internal/core/thirdparty/tantivy/tantivy-binding/include/tantivy-binding.h/0 | {
"file_path": "milvus/internal/core/thirdparty/tantivy/tantivy-binding/include/tantivy-binding.h",
"repo_id": "milvus",
"token_count": 1613
} | 1,672 |
<!--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/ja/main_classes/tokenizer.md/0 | {
"file_path": "transformers/docs/source/ja/main_classes/tokenizer.md",
"repo_id": "transformers",
"token_count": 1908
} | 543 |
// 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/segcore/ConcurrentVector.h/0 | {
"file_path": "milvus/internal/core/src/segcore/ConcurrentVector.h",
"repo_id": "milvus",
"token_count": 5532
} | 1,763 |
# coding=utf-8
# Copyright 2023-present NAVER Corp, The Microsoft Research Asia LayoutLM Team Authors 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
#
# ht... | transformers/src/transformers/models/bros/configuration_bros.py/0 | {
"file_path": "transformers/src/transformers/models/bros/configuration_bros.py",
"repo_id": "transformers",
"token_count": 2599
} | 630 |
from __future__ import annotations
import asyncio
from typing import Any, AsyncIterator, Dict, List, Literal, Union, cast
from langchain_core.callbacks import AsyncCallbackHandler
from langchain_core.outputs import LLMResult
# TODO If used by two LLM runs in parallel this won't work as expected
class AsyncIterator... | langchain/libs/langchain/langchain/callbacks/streaming_aiter.py/0 | {
"file_path": "langchain/libs/langchain/langchain/callbacks/streaming_aiter.py",
"repo_id": "langchain",
"token_count": 1010
} | 453 |
# Firestore Loader
This loader loads from a Firestore collection or a specific document from Firestore. The loader assumes your project already has the google cloud credentials loaded. To find out how to set up credentials, [see here](https://cloud.google.com/docs/authentication/provide-credentials-adc).
## Usage
To... | llama_index/llama-index-integrations/readers/llama-index-readers-firestore/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-firestore/README.md",
"repo_id": "llama_index",
"token_count": 409
} | 1,355 |
//! #A simplified example in Rust of training a neural network and then using it based on the Candle Framework by Hugging Face.
//! Author: Evgeny Igumnov 2023 igumnovnsk@gmail.com
//! This program implements a neural network to predict the winner of the second round of elections based on the results of the first round... | candle/candle-book/src/simplified.rs/0 | {
"file_path": "candle/candle-book/src/simplified.rs",
"repo_id": "candle",
"token_count": 2903
} | 31 |
from collections import defaultdict
from datetime import datetime
from typing import Any, Dict, List, Optional
from llama_index.core.callbacks.base_handler import BaseCallbackHandler
from llama_index.core.callbacks.schema import (
BASE_TRACE_EVENT,
TIMESTAMP_FORMAT,
CBEvent,
CBEventType,
EventStats... | llama_index/llama-index-core/llama_index/core/callbacks/llama_debug.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/callbacks/llama_debug.py",
"repo_id": "llama_index",
"token_count": 3364
} | 1,138 |
[tool.black]
line-length = 119
target_version = ['py37']
[tool.ruff]
# Ignored rules:
# "E501" -> line length violation
# "F821" -> undefined named in type annotation (e.g. Literal["something"])
# "C901" -> `function_name` is too complex
ignore = ["E501", "F821", "C901"]
select = ["C", "E", "F", "I", "W"]
line-l... | datasets/pyproject.toml/0 | {
"file_path": "datasets/pyproject.toml",
"repo_id": "datasets",
"token_count": 245
} | 138 |
<jupyter_start><jupyter_text>Dropbox[Dropbox](https://en.wikipedia.org/wiki/Dropbox) is a file hosting service that brings everything-traditional files, cloud content, and web shortcuts together in one place.This notebook covers how to load documents from *Dropbox*. In addition to common files such as text and PDF file... | langchain/docs/docs/integrations/document_loaders/dropbox.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/document_loaders/dropbox.ipynb",
"repo_id": "langchain",
"token_count": 734
} | 100 |
from __future__ import annotations
import enum
import logging
import os
import uuid
from typing import (
Any,
Callable,
Dict,
Iterable,
List,
Optional,
Tuple,
Type,
)
from langchain_core.documents import Document
from langchain_core.embeddings import Embeddings
from langchain_core.util... | langchain/libs/community/langchain_community/vectorstores/neo4j_vector.py/0 | {
"file_path": "langchain/libs/community/langchain_community/vectorstores/neo4j_vector.py",
"repo_id": "langchain",
"token_count": 16250
} | 330 |
# Distil*
Author: @VictorSanh
This folder contains the original code used to train Distil* as well as examples showcasing how to use DistilBERT, DistilRoBERTa and DistilGPT2.
**January 20, 2020 - Bug fixing** We have recently discovered and fixed [a bug](https://github.com/huggingface/transformers/commit/48cbf267c98... | transformers/examples/research_projects/distillation/README.md/0 | {
"file_path": "transformers/examples/research_projects/distillation/README.md",
"repo_id": "transformers",
"token_count": 5075
} | 559 |
<!--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/training/lora.md/0 | {
"file_path": "diffusers/docs/source/en/training/lora.md",
"repo_id": "diffusers",
"token_count": 3288
} | 187 |
# coding=utf-8
# Copyright 2022 SHI Labs 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/dinat/modeling_dinat.py/0 | {
"file_path": "transformers/src/transformers/models/dinat/modeling_dinat.py",
"repo_id": "transformers",
"token_count": 17128
} | 606 |
import {
SupportedTextSplitterLanguages,
RecursiveCharacterTextSplitter,
} from "langchain/text_splitter";
console.log(SupportedTextSplitterLanguages); // Array of supported languages
/*
[
'cpp', 'go',
'java', 'js',
'php', 'proto',
'python', 'rst',
'ruby', 'rust',
'sc... | langchainjs/examples/src/indexes/javascript_text_splitter.ts/0 | {
"file_path": "langchainjs/examples/src/indexes/javascript_text_splitter.ts",
"repo_id": "langchainjs",
"token_count": 446
} | 798 |
import { logVersion010MigrationWarning } from "../util/entrypoint_deprecation.js";
/* #__PURE__ */ logVersion010MigrationWarning({
oldEntrypointName: "vectorstores/elasticsearch",
});
export * from "@langchain/community/vectorstores/elasticsearch";
| langchainjs/langchain/src/vectorstores/elasticsearch.ts/0 | {
"file_path": "langchainjs/langchain/src/vectorstores/elasticsearch.ts",
"repo_id": "langchainjs",
"token_count": 74
} | 981 |
<jupyter_start><jupyter_text>Basic embedding retrieval with ChromaThis notebook demonstrates the most basic use of Chroma to store and retrieve information using embeddings. This core building block is at the heart of many powerful AI applications. What are embeddings?Embeddings are the A.I-native way to represent any ... | chroma/examples/basic_functionality/start_here.ipynb/0 | {
"file_path": "chroma/examples/basic_functionality/start_here.ipynb",
"repo_id": "chroma",
"token_count": 1373
} | 42 |
"""Integration test for doc reordering."""
from langchain_community.document_transformers.long_context_reorder import (
LongContextReorder,
)
from langchain_community.embeddings import OpenAIEmbeddings
from langchain_community.vectorstores import Chroma
def test_long_context_reorder() -> None:
"""Test Lost in... | langchain/libs/langchain/tests/integration_tests/test_long_context_reorder.py/0 | {
"file_path": "langchain/libs/langchain/tests/integration_tests/test_long_context_reorder.py",
"repo_id": "langchain",
"token_count": 577
} | 588 |
from typing import Callable, List, Optional, Union
import PIL.Image
import torch
from transformers import (
CLIPImageProcessor,
CLIPSegForImageSegmentation,
CLIPSegProcessor,
CLIPTextModel,
CLIPTokenizer,
)
from diffusers import DiffusionPipeline
from diffusers.configuration_utils import FrozenDic... | diffusers/examples/community/text_inpainting.py/0 | {
"file_path": "diffusers/examples/community/text_inpainting.py",
"repo_id": "diffusers",
"token_count": 6667
} | 204 |
import gc
import inspect
import unittest
import numpy as np
import torch
from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
from diffusers import (
AutoencoderKL,
LatentConsistencyModelPipeline,
LCMScheduler,
UNet2DConditionModel,
)
from diffusers.utils.testing_utils import (
en... | diffusers/tests/pipelines/latent_consistency_models/test_latent_consistency_models.py/0 | {
"file_path": "diffusers/tests/pipelines/latent_consistency_models/test_latent_consistency_models.py",
"repo_id": "diffusers",
"token_count": 4610
} | 281 |
---
hide_table_of_contents: true
---
import CodeBlock from "@theme/CodeBlock";
# Combined memory
It is also possible to use multiple memory classes in the same chain. To combine multiple memory classes, we can initialize the `CombinedMemory` class, and then use that.
import TextExample from "@examples/memory/combin... | langchainjs/docs/core_docs/docs/modules/memory/types/multiple_memory.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/memory/types/multiple_memory.mdx",
"repo_id": "langchainjs",
"token_count": 169
} | 760 |
from langchain_community.tools.ainetwork.value import AINValueOps, ValueSchema
__all__ = ["ValueSchema", "AINValueOps"]
| langchain/libs/langchain/langchain/tools/ainetwork/value.py/0 | {
"file_path": "langchain/libs/langchain/langchain/tools/ainetwork/value.py",
"repo_id": "langchain",
"token_count": 39
} | 595 |
from langchain_community.llms.gooseai import GooseAI
__all__ = ["GooseAI"]
| langchain/libs/langchain/langchain/llms/gooseai.py/0 | {
"file_path": "langchain/libs/langchain/langchain/llms/gooseai.py",
"repo_id": "langchain",
"token_count": 27
} | 511 |
poetry_requirements(
name="poetry",
)
python_requirements(
name="reqs",
)
| llama_index/llama-index-integrations/readers/llama-index-readers-confluence/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-confluence/BUILD",
"repo_id": "llama_index",
"token_count": 36
} | 1,417 |
apiVersion: chaos-mesh.org/v1alpha1
kind: PodChaos
metadata:
name: test-querynode-pod-failure
namespace: chaos-testing
spec:
selector:
namespaces:
- chaos-testing
labelSelectors:
app.kubernetes.io/instance: milvus-chaos
component: querynode
mode: fixed
value: "1"
action: pod-failur... | milvus/tests/python_client/chaos/chaos_objects/pod_failure/chaos_querynode_pod_failure.yaml/0 | {
"file_path": "milvus/tests/python_client/chaos/chaos_objects/pod_failure/chaos_querynode_pod_failure.yaml",
"repo_id": "milvus",
"token_count": 141
} | 2,110 |
python_sources()
| llama_index/llama-index-integrations/embeddings/llama-index-embeddings-gradient/llama_index/embeddings/gradient/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-gradient/llama_index/embeddings/gradient/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,275 |
# MultiOn Tool
This tool connects to [MultiOn](https://www.multion.ai/) to enable your agent to easily
connect to the internet through your Chrome Web browser and act on your behalf
You will need to have the MultiOn chrome extension installed and a MultiOn account
to use this integration
## Usage
This tool has more... | llama_index/llama-index-integrations/tools/llama-index-tools-multion/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-multion/README.md",
"repo_id": "llama_index",
"token_count": 320
} | 1,488 |
import { MongoDBAtlasVectorSearch } from "@langchain/community/vectorstores/mongodb_atlas";
import { CohereEmbeddings } from "@langchain/cohere";
import { MongoClient } from "mongodb";
const client = new MongoClient(process.env.MONGODB_ATLAS_URI || "");
const namespace = "langchain.test";
const [dbName, collectionName... | langchainjs/examples/src/indexes/vector_stores/mongodb_atlas_fromTexts.ts/0 | {
"file_path": "langchainjs/examples/src/indexes/vector_stores/mongodb_atlas_fromTexts.ts",
"repo_id": "langchainjs",
"token_count": 371
} | 805 |
"""Unsupervised learning based memorization."""
from langchain_community.tools.memorize.tool import Memorize
__all__ = ["Memorize"]
| langchain/libs/langchain/langchain/tools/memorize/__init__.py/0 | {
"file_path": "langchain/libs/langchain/langchain/tools/memorize/__init__.py",
"repo_id": "langchain",
"token_count": 40
} | 580 |
## Diffusers examples with ONNXRuntime optimizations
**This research project is not actively maintained by the diffusers team. For any questions or comments, please contact Prathik Rao (prathikr), Sunghoon Choi (hanbitmyths), Ashwini Khade (askhade), or Peng Wang (pengwa) on github with any questions.**
This aims to ... | diffusers/examples/research_projects/onnxruntime/README.md/0 | {
"file_path": "diffusers/examples/research_projects/onnxruntime/README.md",
"repo_id": "diffusers",
"token_count": 134
} | 227 |
:mod:`{{module}}`.{{objname}}
{{ underline }}==============
.. currentmodule:: {{ module }}
.. autoclass:: {{ objname }}
{% block attributes %}
{% if attributes %}
.. rubric:: {{ _('Attributes') }}
.. autosummary::
{% for item in attributes %}
~{{ name }}.{{ item }}
{%- endfor %}
{% endif... | langchain/docs/api_reference/templates/class.rst/0 | {
"file_path": "langchain/docs/api_reference/templates/class.rst",
"repo_id": "langchain",
"token_count": 265
} | 85 |
<jupyter_start><jupyter_text>SQL Auto Vector Query EngineIn this tutorial, we show you how to use our SQLAutoVectorQueryEngine.This query engine allows you to combine insights from your structured tables with your unstructured data.It first decides whether to query your structured tables for insights.Once it does, it c... | llama_index/docs/examples/query_engine/SQLAutoVectorQueryEngine.ipynb/0 | {
"file_path": "llama_index/docs/examples/query_engine/SQLAutoVectorQueryEngine.ipynb",
"repo_id": "llama_index",
"token_count": 2407
} | 1,126 |
/** @type {import('ts-jest').JestConfigWithTsJest} */
module.exports = {
preset: "ts-jest/presets/default-esm",
testEnvironment: "./jest.env.cjs",
modulePathIgnorePatterns: ["dist/", "docs/"],
moduleNameMapper: {
"^(\\.{1,2}/.*)\\.js$": "$1",
},
transform: {
'^.+\\.tsx?$': ['@swc/jest'],
},
tran... | langchainjs/libs/langchain-scripts/jest.config.cjs/0 | {
"file_path": "langchainjs/libs/langchain-scripts/jest.config.cjs",
"repo_id": "langchainjs",
"token_count": 213
} | 1,108 |
import os
from typing import Any, Dict, List
import together # type: ignore
from langchain_core.embeddings import Embeddings
from langchain_core.pydantic_v1 import BaseModel, SecretStr, root_validator
from langchain_core.utils import convert_to_secret_str
class TogetherEmbeddings(BaseModel, Embeddings):
"""Toge... | langchain/libs/partners/together/langchain_together/embeddings.py/0 | {
"file_path": "langchain/libs/partners/together/langchain_together/embeddings.py",
"repo_id": "langchain",
"token_count": 663
} | 626 |
// 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/core/src/common/Slice.h/0 | {
"file_path": "milvus/internal/core/src/common/Slice.h",
"repo_id": "milvus",
"token_count": 401
} | 1,780 |
import { ChatOpenAI, OpenAIEmbeddings } from "@langchain/openai";
import { SearchApiLoader } from "langchain/document_loaders/web/searchapi";
import { TokenTextSplitter } from "langchain/text_splitter";
import { FaissStore } from "@langchain/community/vectorstores/faiss";
import { createRetrievalChain } from "langchain... | langchainjs/examples/src/use_cases/youtube/chat_with_podcast.ts/0 | {
"file_path": "langchainjs/examples/src/use_cases/youtube/chat_with_podcast.ts",
"repo_id": "langchainjs",
"token_count": 550
} | 858 |
from typing import List
from langchain_core.documents import Document
from langchain_core.retrievers import BaseRetriever
class FakeParrotRetriever(BaseRetriever):
"""Test util that parrots the query back as documents."""
def _get_relevant_documents( # type: ignore[override]
self,
query: st... | langchain/libs/langchain/tests/unit_tests/retrievers/parrot_retriever.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/retrievers/parrot_retriever.py",
"repo_id": "langchain",
"token_count": 210
} | 611 |
# Installation
Before you start, you'll need to setup your environment and install the appropriate packages. `timm` is tested on **Python 3+**.
## Virtual Environment
You should install `timm` in a [virtual environment](https://docs.python.org/3/library/venv.html) to keep things tidy and avoid dependency conflicts.
... | pytorch-image-models/hfdocs/source/installation.mdx/0 | {
"file_path": "pytorch-image-models/hfdocs/source/installation.mdx",
"repo_id": "pytorch-image-models",
"token_count": 619
} | 375 |
import { collections } from "$lib/server/database";
import { ObjectId } from "mongodb";
import { describe, expect, it } from "vitest";
// function used to insert conversations used for testing
export const insertLegacyConversation = async () => {
const res = await collections.conversations.insertOne({
_id: new Obj... | chat-ui/src/lib/utils/tree/treeHelpers.spec.ts/0 | {
"file_path": "chat-ui/src/lib/utils/tree/treeHelpers.spec.ts",
"repo_id": "chat-ui",
"token_count": 1864
} | 100 |
import { ChatLlamaCpp } from "@langchain/community/chat_models/llama_cpp";
import { HumanMessage } from "@langchain/core/messages";
const llamaPath = "/Replace/with/path/to/your/model/gguf-llama2-q4_0.bin";
const model = new ChatLlamaCpp({ modelPath: llamaPath });
const response = await model.call([
new HumanMessa... | langchainjs/examples/src/models/chat/integration_llama_cpp.ts/0 | {
"file_path": "langchainjs/examples/src/models/chat/integration_llama_cpp.ts",
"repo_id": "langchainjs",
"token_count": 248
} | 823 |
package milvus
import (
"flag"
"fmt"
"io"
"os"
"os/signal"
"syscall"
"go.uber.org/zap"
"github.com/milvus-io/milvus/pkg/log"
"github.com/milvus-io/milvus/pkg/metrics"
"github.com/milvus-io/milvus/pkg/util/hardware"
"github.com/milvus-io/milvus/pkg/util/metricsinfo"
)
type run struct{}
func (c *run) exec... | milvus/cmd/milvus/run.go/0 | {
"file_path": "milvus/cmd/milvus/run.go",
"repo_id": "milvus",
"token_count": 1196
} | 1,752 |
"""Wrapper around a Power BI endpoint."""
from __future__ import annotations
import asyncio
import logging
import os
from typing import TYPE_CHECKING, Any, Dict, Iterable, List, Optional, Union
import aiohttp
import requests
from aiohttp import ServerTimeoutError
from langchain_core.pydantic_v1 import BaseModel, Fiel... | langchain/libs/community/langchain_community/utilities/powerbi.py/0 | {
"file_path": "langchain/libs/community/langchain_community/utilities/powerbi.py",
"repo_id": "langchain",
"token_count": 4955
} | 318 |
<!--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... | accelerate/docs/source/usage_guides/fsdp.md/0 | {
"file_path": "accelerate/docs/source/usage_guides/fsdp.md",
"repo_id": "accelerate",
"token_count": 3064
} | 3 |
/* eslint-disable @typescript-eslint/no-explicit-any */
import weaviate, { ApiKey } from "weaviate-ts-client";
import { WeaviateStore } from "@langchain/weaviate";
import { OpenAIEmbeddings } from "@langchain/openai";
export async function run() {
// Something wrong with the weaviate-ts-client types, so we need to d... | langchainjs/examples/src/indexes/vector_stores/weaviate_delete.ts/0 | {
"file_path": "langchainjs/examples/src/indexes/vector_stores/weaviate_delete.ts",
"repo_id": "langchainjs",
"token_count": 800
} | 883 |
from langchain_community.tools.openweathermap.tool import OpenWeatherMapQueryRun
__all__ = ["OpenWeatherMapQueryRun"]
| langchain/libs/langchain/langchain/tools/openweathermap/tool.py/0 | {
"file_path": "langchain/libs/langchain/langchain/tools/openweathermap/tool.py",
"repo_id": "langchain",
"token_count": 33
} | 566 |
<jupyter_start><jupyter_text>Run TemplateIn `server.py`, set -```add_routes(app, chain_rag_conv, path="/rag-multi-modal-local")```<jupyter_code>from langserve.client import RemoteRunnable
rag_app = RemoteRunnable("http://localhost:8001/rag-multi-modal-local")
rag_app.invoke(" < keywords here > ")<jupyter_output><empty... | langchain/templates/rag-multi-modal-local/rag_multi_modal_local.ipynb/0 | {
"file_path": "langchain/templates/rag-multi-modal-local/rag_multi_modal_local.ipynb",
"repo_id": "langchain",
"token_count": 125
} | 665 |
import uuid
from typing import Any, Dict, List, Union
from ..utils import add_end_docstrings, is_tf_available, is_torch_available, logging
from .base import Pipeline, build_pipeline_init_args
if is_tf_available():
import tensorflow as tf
if is_torch_available():
import torch
logger = logging.get_logger(__... | transformers/src/transformers/pipelines/conversational.py/0 | {
"file_path": "transformers/src/transformers/pipelines/conversational.py",
"repo_id": "transformers",
"token_count": 5596
} | 725 |
""" Test embedding utility functions."""
import numpy as np
from llama_index.legacy.indices.query.embedding_utils import (
get_top_k_embeddings,
get_top_k_mmr_embeddings,
)
def test_get_top_k_mmr_embeddings() -> None:
"""Test Maximum Marginal Relevance."""
# Results score should follow from the mmr a... | llama_index/llama-index-legacy/tests/indices/query/test_embedding_utils.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/indices/query/test_embedding_utils.py",
"repo_id": "llama_index",
"token_count": 1199
} | 1,633 |
// 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/index_data_codec.go/0 | {
"file_path": "milvus/internal/storage/index_data_codec.go",
"repo_id": "milvus",
"token_count": 3896
} | 2,010 |
// 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/proxy/meta_cache_test.go/0 | {
"file_path": "milvus/internal/proxy/meta_cache_test.go",
"repo_id": "milvus",
"token_count": 11047
} | 1,847 |
# coding=utf-8
# Copyright 2024 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/src/transformers/models/siglip/image_processing_siglip.py/0 | {
"file_path": "transformers/src/transformers/models/siglip/image_processing_siglip.py",
"repo_id": "transformers",
"token_count": 4605
} | 721 |
// 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/zap_log_test.go/0 | {
"file_path": "milvus/pkg/log/zap_log_test.go",
"repo_id": "milvus",
"token_count": 4956
} | 1,952 |
// 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/proxy/management.go/0 | {
"file_path": "milvus/internal/proxy/management.go",
"repo_id": "milvus",
"token_count": 1122
} | 1,744 |
import os
from transformers import AutoConfig, AutoTokenizer
import torch
import torch.neuron
# To use one neuron core per worker
os.environ["NEURON_RT_NUM_CORES"] = "1"
# saved weights name
AWS_NEURON_TRACED_WEIGHTS_NAME = "neuron_model.pt"
def model_fn(model_dir):
# load tokenizer and neuron model from model_... | notebooks/sagemaker/18_inferentia_inference/code/inference.py/0 | {
"file_path": "notebooks/sagemaker/18_inferentia_inference/code/inference.py",
"repo_id": "notebooks",
"token_count": 519
} | 332 |
"""Recursive retriever (with node references)."""
from typing import Any, Dict, List
from llama_index.core import ServiceContext, VectorStoreIndex
from llama_index.core.embeddings.utils import resolve_embed_model
from llama_index.core.llama_pack.base import BaseLlamaPack
from llama_index.core.node_parser import Sente... | llama_index/llama-index-packs/llama-index-packs-recursive-retriever/llama_index/packs/recursive_retriever/small_to_big/base.py/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-recursive-retriever/llama_index/packs/recursive_retriever/small_to_big/base.py",
"repo_id": "llama_index",
"token_count": 1565
} | 1,812 |
#!/usr/bin/env python
import argparse
import datetime
import json
import time
import warnings
from logging import getLogger
from pathlib import Path
from typing import Dict, List
import torch
from tqdm import tqdm
from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
from utils import calculate_bleu, calcula... | transformers/examples/research_projects/seq2seq-distillation/run_eval.py/0 | {
"file_path": "transformers/examples/research_projects/seq2seq-distillation/run_eval.py",
"repo_id": "transformers",
"token_count": 2580
} | 603 |
<jupyter_start><jupyter_text>Azure Cosmos DB>[Azure Cosmos DB for MongoDB vCore](https://learn.microsoft.com/en-us/azure/cosmos-db/mongodb/vcore/) makes it easy to create a database with full native MongoDB support.> You can apply your MongoDB experience and continue to use your favorite MongoDB drivers, SDKs, and tool... | langchain/docs/docs/integrations/vectorstores/azure_cosmos_db.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/vectorstores/azure_cosmos_db.ipynb",
"repo_id": "langchain",
"token_count": 2066
} | 192 |
# 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/timm_backbone/test_modeling_timm_backbone.py/0 | {
"file_path": "transformers/tests/models/timm_backbone/test_modeling_timm_backbone.py",
"repo_id": "transformers",
"token_count": 4294
} | 739 |
import pytest
from pymilvus import DefaultConfig
from base.client_base import TestcaseBase
import common.common_type as ct
import common.common_func as cf
from common.common_type import CaseLabel, CheckTasks
from common.code_mapping import ConnectionErrorMessage as cem
# CONNECT_TIMEOUT = 12
class TestConnectionPar... | milvus/tests/python_client/testcases/test_connection.py/0 | {
"file_path": "milvus/tests/python_client/testcases/test_connection.py",
"repo_id": "milvus",
"token_count": 24205
} | 1,903 |
# coding=utf-8
# Copyright 2023 EleutherAI and the HuggingFace Inc. team. All rights reserved.
#
# This code is based on EleutherAI's GPT-NeoX library and the GPT-NeoX
# and OPT implementations in this library. It has been modified from its
# original forms to accommodate minor architectural differences compared
# to G... | transformers/src/transformers/models/deprecated/open_llama/modeling_open_llama.py/0 | {
"file_path": "transformers/src/transformers/models/deprecated/open_llama/modeling_open_llama.py",
"repo_id": "transformers",
"token_count": 19118
} | 672 |
# Copyright 2023-present 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 law or... | peft/src/peft/utils/save_and_load.py/0 | {
"file_path": "peft/src/peft/utils/save_and_load.py",
"repo_id": "peft",
"token_count": 6629
} | 309 |
# Retriever Modules
We are actively adding more tailored retrieval guides.
In the meanwhile, please take a look at the [API References](/api_reference/query/retrievers.rst).
## Index Retrievers
Please see [the retriever modes](/module_guides/querying/retriever/retriever_modes.md) for more details on how to get a ret... | llama_index/docs/module_guides/querying/retriever/retrievers.md/0 | {
"file_path": "llama_index/docs/module_guides/querying/retriever/retrievers.md",
"repo_id": "llama_index",
"token_count": 1183
} | 1,105 |
<jupyter_start><jupyter_text>Obsidian Reader If you're opening this Notebook on colab, you will probably need to install LlamaIndex 🦙.<jupyter_code>%pip install llama-index-readers-obsidian
!pip install llama-index
%env OPENAI_API_KEY=sk-************
import logging
import sys
logging.basicConfig(stream=sys.stdout, le... | llama_index/docs/examples/data_connectors/ObsidianReaderDemo.ipynb/0 | {
"file_path": "llama_index/docs/examples/data_connectors/ObsidianReaderDemo.ipynb",
"repo_id": "llama_index",
"token_count": 281
} | 1,176 |
{
"openapi": "3.0.1",
"info": {
"version": "v0",
"title": "Open AI Klarna product Api"
},
"servers": [
{
"url": "https://www.klarna.com/us/shopping"
}
],
"tags": [
{
"name": "open-ai-product-endpoint",
"description": "Open AI Product Endpoint. Q... | langchain/libs/community/tests/unit_tests/examples/test_specs/klarna/apispec.json/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/examples/test_specs/klarna/apispec.json",
"repo_id": "langchain",
"token_count": 1988
} | 395 |
package indexparamcheck
import "github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
// TODO: check index parameters according to the index type & data type.
func CheckIndexValid(dType schemapb.DataType, indexType IndexType, indexParams map[string]string) error {
return nil
}
| milvus/pkg/util/indexparamcheck/scalar_index_checker.go/0 | {
"file_path": "milvus/pkg/util/indexparamcheck/scalar_index_checker.go",
"repo_id": "milvus",
"token_count": 93
} | 2,058 |
# 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/LICENSE-2.0
#
# Unless r... | transformers/tests/models/deberta_v2/test_modeling_tf_deberta_v2.py/0 | {
"file_path": "transformers/tests/models/deberta_v2/test_modeling_tf_deberta_v2.py",
"repo_id": "transformers",
"token_count": 5454
} | 728 |
import { ChatOpenAI } from "@langchain/openai";
import { HumanMessage } from "@langchain/core/messages";
const chat = new ChatOpenAI({
maxTokens: 25,
streaming: true,
});
const response = await chat.call([new HumanMessage("Tell me a joke.")], {
callbacks: [
{
handleLLMNewToken(token: string) {
... | langchainjs/examples/src/models/chat/chat_streaming.ts/0 | {
"file_path": "langchainjs/examples/src/models/chat/chat_streaming.ts",
"repo_id": "langchainjs",
"token_count": 326
} | 800 |
from langchain_community.chat_message_histories.astradb import (
AstraDBChatMessageHistory,
)
from langchain_community.chat_message_histories.cassandra import (
CassandraChatMessageHistory,
)
from langchain_community.chat_message_histories.cosmos_db import (
CosmosDBChatMessageHistory,
)
from langchain_comm... | langchain/libs/community/langchain_community/chat_message_histories/__init__.py/0 | {
"file_path": "langchain/libs/community/langchain_community/chat_message_histories/__init__.py",
"repo_id": "langchain",
"token_count": 818
} | 233 |
from pathlib import Path
from typing import List
from langchain_core.documents import Document
from langchain_community.document_loaders.base import BaseLoader
class RoamLoader(BaseLoader):
"""Load `Roam` files from a directory."""
def __init__(self, path: str):
"""Initialize with a path."""
... | langchain/libs/community/langchain_community/document_loaders/roam.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/roam.py",
"repo_id": "langchain",
"token_count": 292
} | 247 |
<jupyter_start><jupyter_code>from llama_index.tools.waii import WaiiToolSpec
waii_tool = WaiiToolSpec(
url="https://tweakit.waii.ai/api/",
# API Key of Waii (not OpenAI API key)
api_key="3........",
# Which database you want to use, you need add the db connection to Waii first
database_key="snowfla... | llama_index/llama-index-integrations/tools/llama-index-tools-waii/examples/waii.ipynb/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-waii/examples/waii.ipynb",
"repo_id": "llama_index",
"token_count": 1543
} | 1,500 |
import {
HF_TOKEN,
HF_API_ROOT,
MODELS,
OLD_MODELS,
TASK_MODEL,
HF_ACCESS_TOKEN,
} from "$env/static/private";
import type { ChatTemplateInput } from "$lib/types/Template";
import { compileTemplate } from "$lib/utils/template";
import { z } from "zod";
import endpoints, { endpointSchema, type Endpoint } from "./e... | chat-ui/src/lib/server/models.ts/0 | {
"file_path": "chat-ui/src/lib/server/models.ts",
"repo_id": "chat-ui",
"token_count": 2039
} | 92 |
<jupyter_start><jupyter_text>PGVecto.rsThis notebook shows how to use functionality related to the Postgres vector database ([pgvecto.rs](https://github.com/tensorchord/pgvecto.rs)).<jupyter_code>%pip install "pgvecto_rs[sdk]"
from typing import List
from langchain.docstore.document import Document
from langchain.text... | langchain/docs/docs/integrations/vectorstores/pgvecto_rs.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/vectorstores/pgvecto_rs.ipynb",
"repo_id": "langchain",
"token_count": 1255
} | 184 |
import importlib.metadata
import warnings
from copy import deepcopy
from packaging import version
from ..utils import is_accelerate_available, is_bitsandbytes_available, logging
if is_bitsandbytes_available():
import bitsandbytes as bnb
import torch
import torch.nn as nn
from ..pytorch_utils import... | transformers/src/transformers/integrations/bitsandbytes.py/0 | {
"file_path": "transformers/src/transformers/integrations/bitsandbytes.py",
"repo_id": "transformers",
"token_count": 6445
} | 610 |
"""KG Retrievers."""
import logging
from collections import defaultdict
from enum import Enum
from typing import Any, Callable, Dict, List, Optional, Set, Tuple
from llama_index.core.base.base_retriever import BaseRetriever
from llama_index.core.base.embeddings.base import BaseEmbedding
from llama_index.core.callback... | llama_index/llama-index-core/llama_index/core/indices/knowledge_graph/retrievers.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/indices/knowledge_graph/retrievers.py",
"repo_id": "llama_index",
"token_count": 15951
} | 1,193 |
kind: StressChaos
apiVersion: chaos-mesh.org/v1alpha1
metadata:
name: test-indexnode-memory-stress
namespace: chaos-testing
spec:
selector:
namespaces:
- chaos-testing
labelSelectors:
app.kubernetes.io/name: milvus
app.kubernetes.io/instance: mic-memory
app.kubernetes.io/component:... | milvus/tests/python_client/chaos/chaos_objects/memory_stress/chaos_indexnode_memory_stress.yaml/0 | {
"file_path": "milvus/tests/python_client/chaos/chaos_objects/memory_stress/chaos_indexnode_memory_stress.yaml",
"repo_id": "milvus",
"token_count": 174
} | 2,164 |
from llama_index.legacy.constants import DATA_KEY, TYPE_KEY
from llama_index.legacy.schema import (
BaseNode,
Document,
ImageDocument,
ImageNode,
IndexNode,
NodeRelationship,
RelatedNodeInfo,
TextNode,
)
def doc_to_json(doc: BaseNode) -> dict:
return {
DATA_KEY: doc.dict(),... | llama_index/llama-index-legacy/llama_index/legacy/storage/docstore/utils.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/storage/docstore/utils.py",
"repo_id": "llama_index",
"token_count": 1194
} | 1,775 |
# Fine-tuning
| candle/candle-book/src/training/finetuning.md/0 | {
"file_path": "candle/candle-book/src/training/finetuning.md",
"repo_id": "candle",
"token_count": 6
} | 31 |
python_tests()
| llama_index/llama-index-integrations/readers/llama-index-readers-microsoft-outlook/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-microsoft-outlook/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,399 |
from __future__ import annotations
from typing import TYPE_CHECKING, Optional, Tuple, Type
from langchain_core.pydantic_v1 import root_validator
from langchain_core.tools import BaseTool
if TYPE_CHECKING:
from playwright.async_api import Browser as AsyncBrowser
from playwright.sync_api import Browser as Sync... | langchain/libs/community/langchain_community/tools/playwright/base.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/playwright/base.py",
"repo_id": "langchain",
"token_count": 766
} | 291 |
// 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/segment_allocation_policy_test.go/0 | {
"file_path": "milvus/internal/datacoord/segment_allocation_policy_test.go",
"repo_id": "milvus",
"token_count": 2325
} | 1,796 |
class VellumException(Exception):
pass
class VellumApiError(VellumException):
pass
class VellumGenerateException(VellumApiError):
pass
| llama_index/llama-index-legacy/llama_index/legacy/llm_predictor/vellum/exceptions.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/llm_predictor/vellum/exceptions.py",
"repo_id": "llama_index",
"token_count": 56
} | 1,576 |
<jupyter_start><jupyter_text>PatchTSMixer in HuggingFace - Getting Started `PatchTSMixer` is a lightweight time-series modeling approach based on the MLP-Mixer architecture. It is proposed in [TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting](https://huggingface.co/papers/2306.09364) by IBM... | notebooks/examples/patch_tsmixer.ipynb/0 | {
"file_path": "notebooks/examples/patch_tsmixer.ipynb",
"repo_id": "notebooks",
"token_count": 7682
} | 309 |
"""Simple Reader that loads text relevant to a certain search keyword from subreddits."""
from typing import List, Optional
from llama_index.core.readers.base import BaseReader
from llama_index.core.schema import Document
class RedditReader(BaseReader):
"""
Subreddit post and top-level comments reader for Re... | llama_index/llama-index-integrations/readers/llama-index-readers-reddit/llama_index/readers/reddit/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-reddit/llama_index/readers/reddit/base.py",
"repo_id": "llama_index",
"token_count": 835
} | 1,513 |
"""Struct store."""
import re
from typing import Any, Callable, Dict, Generic, Optional, Sequence, TypeVar
from llama_index.core.data_structs.table import BaseStructTable
from llama_index.core.indices.base import BaseIndex
from llama_index.core.prompts import BasePromptTemplate
from llama_index.core.prompts.default_p... | llama_index/llama-index-core/llama_index/core/indices/struct_store/base.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/indices/struct_store/base.py",
"repo_id": "llama_index",
"token_count": 959
} | 1,221 |
// 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/proxy/task.go/0 | {
"file_path": "milvus/internal/proxy/task.go",
"repo_id": "milvus",
"token_count": 22505
} | 1,886 |
from langchain_openai import (
AzureChatOpenAI,
AzureOpenAI,
AzureOpenAIEmbeddings,
ChatOpenAI,
OpenAI,
OpenAIEmbeddings,
)
def test_chat_openai_secrets() -> None:
o = ChatOpenAI(openai_api_key="foo")
s = str(o)
assert "foo" not in s
def test_openai_secrets() -> None:
o = Ope... | langchain/libs/partners/openai/tests/unit_tests/test_secrets.py/0 | {
"file_path": "langchain/libs/partners/openai/tests/unit_tests/test_secrets.py",
"repo_id": "langchain",
"token_count": 646
} | 638 |
[
{
"server": "poseidon",
"suite_params": [
{
"suite": "clean.yaml",
"image_type": "cpu"
}
]
}
]
| milvus/tests/benchmark/milvus_benchmark/scheduler/clean.json/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/scheduler/clean.json",
"repo_id": "milvus",
"token_count": 129
} | 2,082 |
"""Elasticsearch/Opensearch vector store."""
import json
import uuid
from typing import Any, Dict, Iterable, List, Optional, Union, cast
from llama_index.legacy.schema import BaseNode, MetadataMode, TextNode
from llama_index.legacy.vector_stores.types import (
MetadataFilters,
VectorStore,
VectorStoreQuer... | llama_index/llama-index-legacy/llama_index/legacy/vector_stores/opensearch.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/vector_stores/opensearch.py",
"repo_id": "llama_index",
"token_count": 7140
} | 1,654 |
import json
from typing import Any, Dict, List, Optional, cast
from langchain_core.callbacks.manager import CallbackManagerForLLMRun
from langchain_core.language_models.chat_models import BaseChatModel
from langchain_core.messages import (
AIMessage,
BaseMessage,
ChatMessage,
HumanMessage,
SystemMe... | langchain/libs/community/langchain_community/chat_models/azureml_endpoint.py/0 | {
"file_path": "langchain/libs/community/langchain_community/chat_models/azureml_endpoint.py",
"repo_id": "langchain",
"token_count": 3502
} | 234 |
from langchain_community.vectorstores.hippo import Hippo
__all__ = ["Hippo"]
| langchain/libs/langchain/langchain/vectorstores/hippo.py/0 | {
"file_path": "langchain/libs/langchain/langchain/vectorstores/hippo.py",
"repo_id": "langchain",
"token_count": 27
} | 603 |
"""Test the LangSmith evaluation helpers."""
import uuid
from datetime import datetime
from typing import Any, Dict, Iterator, List, Optional, Union
from unittest import mock
import pytest
from freezegun import freeze_time
from langchain_core.language_models import BaseLanguageModel
from langsmith.client import Client... | langchain/libs/langchain/tests/unit_tests/smith/evaluation/test_runner_utils.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/smith/evaluation/test_runner_utils.py",
"repo_id": "langchain",
"token_count": 5196
} | 618 |
<jupyter_start><jupyter_text>Observability with OpenLLMetry[OpenLLMetry](https://github.com/traceloop/openllmetry) is an open-source project based on OpenTelemetry for tracing and monitoringLLM applications. It connects to [all major observability platforms](https://www.traceloop.com/docs/openllmetry/integrations/intro... | llama_index/docs/examples/callbacks/OpenLLMetry.ipynb/0 | {
"file_path": "llama_index/docs/examples/callbacks/OpenLLMetry.ipynb",
"repo_id": "llama_index",
"token_count": 794
} | 1,090 |
""" AdamW Optimizer
Impl copied from PyTorch master
NOTE: Builtin optim.AdamW is used by the factory, this impl only serves as a Python based reference, will be removed
someday
"""
import math
import torch
from torch.optim.optimizer import Optimizer
class AdamW(Optimizer):
r"""Implements AdamW algorithm.
Th... | pytorch-image-models/timm/optim/adamw.py/0 | {
"file_path": "pytorch-image-models/timm/optim/adamw.py",
"repo_id": "pytorch-image-models",
"token_count": 2417
} | 350 |
import os
import uuid
from langchain.text_splitter import RecursiveCharacterTextSplitter
from langchain_community.document_loaders import PyPDFLoader
from langchain_community.embeddings import OpenAIEmbeddings
from langchain_community.vectorstores import MongoDBAtlasVectorSearch
from pymongo import MongoClient
PARENT... | langchain/templates/mongo-parent-document-retrieval/ingest.py/0 | {
"file_path": "langchain/templates/mongo-parent-document-retrieval/ingest.py",
"repo_id": "langchain",
"token_count": 787
} | 666 |
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