text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
from llama_index.core.readers.base import BaseReader
from llama_index.readers.bilibili import BilibiliTranscriptReader
def test_class():
names_of_base_classes = [b.__name__ for b in BilibiliTranscriptReader.__mro__]
assert BaseReader.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/readers/llama-index-readers-bilibili/tests/test_readers_bilibili.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-bilibili/tests/test_readers_bilibili.py",
"repo_id": "llama_index",
"token_count": 95
} | 1,298 |
from llama_index.llms.clarifai.base import Clarifai
__all__ = ["Clarifai"]
| llama_index/llama-index-integrations/llms/llama-index-llms-clarifai/llama_index/llms/clarifai/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-clarifai/llama_index/llms/clarifai/__init__.py",
"repo_id": "llama_index",
"token_count": 31
} | 1,217 |
import torch
from diffusers import UnCLIPScheduler
from .test_schedulers import SchedulerCommonTest
# UnCLIPScheduler is a modified DDPMScheduler with a subset of the configuration.
class UnCLIPSchedulerTest(SchedulerCommonTest):
scheduler_classes = (UnCLIPScheduler,)
def get_scheduler_config(self, **kwarg... | diffusers/tests/schedulers/test_scheduler_unclip.py/0 | {
"file_path": "diffusers/tests/schedulers/test_scheduler_unclip.py",
"repo_id": "diffusers",
"token_count": 2227
} | 276 |
# Conversation Summary
Now let's take a look at using a slightly more complex type of memory - `ConversationSummaryMemory`. This type of memory creates a summary of the conversation over time. This can be useful for condensing information from the conversation over time.
Conversation summary memory summarizes the conve... | langchain/docs/docs/modules/memory/types/summary.mdx/0 | {
"file_path": "langchain/docs/docs/modules/memory/types/summary.mdx",
"repo_id": "langchain",
"token_count": 1750
} | 204 |
# 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 required by appl... | transformers/src/transformers/models/vipllava/convert_vipllava_weights_to_hf.py/0 | {
"file_path": "transformers/src/transformers/models/vipllava/convert_vipllava_weights_to_hf.py",
"repo_id": "transformers",
"token_count": 1889
} | 682 |
from typing import Any, List
from ai21.models import EmbedType
from langchain_core.embeddings import Embeddings
from langchain_ai21.ai21_base import AI21Base
class AI21Embeddings(Embeddings, AI21Base):
"""AI21 Embeddings embedding model.
To use, you should have the 'AI21_API_KEY' environment variable set
... | langchain/libs/partners/ai21/langchain_ai21/embeddings.py/0 | {
"file_path": "langchain/libs/partners/ai21/langchain_ai21/embeddings.py",
"repo_id": "langchain",
"token_count": 513
} | 646 |
"""Voyage embeddings file."""
from typing import Any, List, Optional
from llama_index.legacy.bridge.pydantic import PrivateAttr
from llama_index.legacy.callbacks.base import CallbackManager
from llama_index.legacy.embeddings.base import BaseEmbedding
DEFAULT_VOYAGE_BATCH_SIZE = 8
class VoyageEmbedding(BaseEmbeddin... | llama_index/llama-index-legacy/llama_index/legacy/embeddings/voyageai.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/embeddings/voyageai.py",
"repo_id": "llama_index",
"token_count": 1524
} | 1,561 |
<!--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/explore.md/0 | {
"file_path": "accelerate/docs/source/usage_guides/explore.md",
"repo_id": "accelerate",
"token_count": 581
} | 5 |
[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 = ["YoutubeTranscriptReader"]
contains_example = false
import_path = "llama_index.readers.you... | llama_index/llama-index-integrations/readers/llama-index-readers-youtube-transcript/pyproject.toml/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-youtube-transcript/pyproject.toml",
"repo_id": "llama_index",
"token_count": 681
} | 1,462 |
from typing import Union
import torch
from PIL import Image
from torchvision import transforms as tfms
from tqdm.auto import tqdm
from transformers import CLIPTextModel, CLIPTokenizer
from diffusers import (
AutoencoderKL,
DDIMScheduler,
DiffusionPipeline,
LMSDiscreteScheduler,
PNDMScheduler,
... | diffusers/examples/community/magic_mix.py/0 | {
"file_path": "diffusers/examples/community/magic_mix.py",
"repo_id": "diffusers",
"token_count": 2446
} | 204 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/readers/llama-index-readers-macrometa-gdn/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-macrometa-gdn/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,472 |
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | transformers/src/transformers/models/clap/processing_clap.py/0 | {
"file_path": "transformers/src/transformers/models/clap/processing_clap.py",
"repo_id": "transformers",
"token_count": 2177
} | 657 |
---
sidebar_position: 1
---
# Concepts
The core idea of agents is to use a language model to choose a sequence of actions to take.
In chains, a sequence of actions is hardcoded (in code).
In agents, a language model is used as a reasoning engine to determine which actions to take and in which order.
There are sever... | langchain/docs/docs/modules/agents/concepts.mdx/0 | {
"file_path": "langchain/docs/docs/modules/agents/concepts.mdx",
"repo_id": "langchain",
"token_count": 1201
} | 195 |
from llama_index.core.llama_pack import BaseLlamaPack
from llama_index.packs.agents_llm_compiler import LLMCompilerAgentPack
def test_class():
names_of_base_classes = [b.__name__ for b in LLMCompilerAgentPack.__mro__]
assert BaseLlamaPack.__name__ in names_of_base_classes
| llama_index/llama-index-packs/llama-index-packs-agents-llm-compiler/tests/test_packs_agents.py/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-agents-llm-compiler/tests/test_packs_agents.py",
"repo_id": "llama_index",
"token_count": 104
} | 1,830 |
class GoogleGenerativeAIError(Exception):
"""
Custom exception class for errors associated with the `Google GenAI` API.
"""
| langchain/libs/partners/google-genai/langchain_google_genai/_common.py/0 | {
"file_path": "langchain/libs/partners/google-genai/langchain_google_genai/_common.py",
"repo_id": "langchain",
"token_count": 39
} | 664 |
# 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/src/transformers/models/idefics/image_processing_idefics.py/0 | {
"file_path": "transformers/src/transformers/models/idefics/image_processing_idefics.py",
"repo_id": "transformers",
"token_count": 3022
} | 617 |
ann_accuracy:
collections:
-
server:
cache_config.cpu_cache_capacity: 16GB
engine_config.use_blas_threshold: 1100
engine_config.gpu_search_threshold: 1
gpu_resource_config.enable: true
gpu_resource_config.cache_capacity: 4GB
gpu_resource_config.search_resource... | milvus/tests/benchmark/milvus_benchmark/suites/011_gpu_accuracy_ann_debug.yaml/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/suites/011_gpu_accuracy_ann_debug.yaml",
"repo_id": "milvus",
"token_count": 368
} | 2,144 |
from typing import Dict, Tuple, Union
from langchain.chains.query_constructor.ir import (
Comparator,
Comparison,
Operation,
Operator,
StructuredQuery,
Visitor,
)
class ChromaTranslator(Visitor):
"""Translate `Chroma` internal query language elements to valid filters."""
allowed_oper... | langchain/libs/langchain/langchain/retrievers/self_query/chroma.py/0 | {
"file_path": "langchain/libs/langchain/langchain/retrievers/self_query/chroma.py",
"repo_id": "langchain",
"token_count": 603
} | 542 |
import pytest
import logging
import hypothesis.strategies as st
import chromadb.test.property.strategies as strategies
from chromadb.api import ClientAPI
import chromadb.api.types as types
from hypothesis.stateful import (
Bundle,
RuleBasedStateMachine,
rule,
initialize,
multiple,
consumes,
... | chroma/chromadb/test/property/test_collections.py/0 | {
"file_path": "chroma/chromadb/test/property/test_collections.py",
"repo_id": "chroma",
"token_count": 3741
} | 27 |
apiVersion: v1
kind: Pod
metadata:
labels:
app: milvus-e2e
task: milvus-e2e-build
namespace: milvus-ci
spec:
enableServiceLinks: false
containers:
- name: main
image: milvusdb/krte:20211213-dcc15e9
env:
- name: DOCKER_IN_DOCKER_ENABLED
value: "true"
- name: DOCKER_VOLUME_DIRECTOR... | milvus/ci/jenkins/pod/rte-build.yaml/0 | {
"file_path": "milvus/ci/jenkins/pod/rte-build.yaml",
"repo_id": "milvus",
"token_count": 764
} | 1,891 |
# coding=utf-8
# Copyright 2020, The RAG 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/src/transformers/models/rag/modeling_tf_rag.py/0 | {
"file_path": "transformers/src/transformers/models/rag/modeling_tf_rag.py",
"repo_id": "transformers",
"token_count": 38065
} | 685 |
# coding=utf-8
# Copyright 2022 Apple Inc. and The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2... | transformers/src/transformers/models/mobilenet_v1/modeling_mobilenet_v1.py/0 | {
"file_path": "transformers/src/transformers/models/mobilenet_v1/modeling_mobilenet_v1.py",
"repo_id": "transformers",
"token_count": 8136
} | 715 |
"""Combining documents by mapping a chain over them first, then combining results."""
from __future__ import annotations
from typing import Any, Dict, List, Optional, Tuple, Type
from langchain_core.callbacks import Callbacks
from langchain_core.documents import Document
from langchain_core.pydantic_v1 import BaseMo... | langchain/libs/langchain/langchain/chains/combine_documents/map_reduce.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chains/combine_documents/map_reduce.py",
"repo_id": "langchain",
"token_count": 5121
} | 455 |
import os
from langchain.utilities.redis import get_client
from redis.client import Redis as RedisType
CLIENT: RedisType | None = None
def get_redis_client() -> RedisType:
"""Get a Redis client."""
global CLIENT
if CLIENT is not None:
return CLIENT
url = os.environ.get("REDIS_URL")
if ... | opengpts/backend/app/redis.py/0 | {
"file_path": "opengpts/backend/app/redis.py",
"repo_id": "opengpts",
"token_count": 167
} | 1,914 |
from __future__ import annotations
import logging
from typing import Optional
from langchain_core.callbacks import CallbackManagerForToolRun
from langchain_community.tools.edenai.edenai_base_tool import EdenaiTool
logger = logging.getLogger(__name__)
class EdenAiObjectDetectionTool(EdenaiTool):
"""Tool that q... | langchain/libs/community/langchain_community/tools/edenai/image_objectdetection.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/edenai/image_objectdetection.py",
"repo_id": "langchain",
"token_count": 1049
} | 305 |
#! /bin/bash
REPOSITORY_ID="langchain"
GRAPHDB_URI="http://localhost:7200/"
echo -e "\nUsing GraphDB: ${GRAPHDB_URI}"
function startGraphDB {
echo -e "\nStarting GraphDB..."
exec /opt/graphdb/dist/bin/graphdb
}
function waitGraphDBStart {
echo -e "\nWaiting GraphDB to start..."
for _ in $(seq 1 5); do
CHEC... | langchain/docker/graphdb/graphdb_create.sh/0 | {
"file_path": "langchain/docker/graphdb/graphdb_create.sh",
"repo_id": "langchain",
"token_count": 256
} | 78 |
<!--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/model_doc/bertweet.md/0 | {
"file_path": "transformers/docs/source/ja/model_doc/bertweet.md",
"repo_id": "transformers",
"token_count": 1155
} | 545 |
<jupyter_start><jupyter_text>Dreambooth with OFTThis Notebook assumes that you already ran the train_dreambooth.py script to create your own adapter.<jupyter_code>from diffusers import DiffusionPipeline
from diffusers.utils import check_min_version, get_logger
from peft import PeftModel
# Will error if the minimal ver... | peft/examples/oft_dreambooth/oft_dreambooth_inference.ipynb/0 | {
"file_path": "peft/examples/oft_dreambooth/oft_dreambooth_inference.ipynb",
"repo_id": "peft",
"token_count": 376
} | 343 |
# Student Works
Since the launch of the Deep Reinforcement Learning Course, **many students have created amazing projects that you should check out and consider participating in**.
If you've created an interesting project, don't hesitate to [add it to this list by opening a pull request on the GitHub repository](http... | deep-rl-class/units/en/unitbonus3/student-works.mdx/0 | {
"file_path": "deep-rl-class/units/en/unitbonus3/student-works.mdx",
"repo_id": "deep-rl-class",
"token_count": 629
} | 167 |
"""Test the FileSearch tool."""
from pathlib import Path
from tempfile import TemporaryDirectory
from langchain_community.tools.file_management.file_search import FileSearchTool
from langchain_community.tools.file_management.utils import (
INVALID_PATH_TEMPLATE,
)
def test_file_search_with_root_dir() -> None:
... | langchain/libs/community/tests/unit_tests/tools/file_management/test_file_search.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/tools/file_management/test_file_search.py",
"repo_id": "langchain",
"token_count": 669
} | 391 |
"use client";
import React, { useEffect } from "react";
import { useLayoutEffect, useRef, useState } from "react";
export function LangServePlayground(props: {
baseUrl: string;
value: Record<string, unknown>;
onChange: (value: Record<string, unknown>) => void;
}) {
const [open, setOpen] = useState(false);
c... | langserve/libs/langserve-playground/src/index.tsx/0 | {
"file_path": "langserve/libs/langserve-playground/src/index.tsx",
"repo_id": "langserve",
"token_count": 1350
} | 1,068 |
import json
from langchain.schema.messages import FunctionMessage
from langchain.tools import BaseTool
from langchain_core.language_models.base import LanguageModelLike
from langchain_core.messages import SystemMessage
from langgraph.checkpoint import BaseCheckpointSaver
from langgraph.graph import END
from langgraph.... | opengpts/backend/app/agent_types/google_agent.py/0 | {
"file_path": "opengpts/backend/app/agent_types/google_agent.py",
"repo_id": "opengpts",
"token_count": 1579
} | 2,135 |
// 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/kv/etcd/metakv_factory.go/0 | {
"file_path": "milvus/internal/kv/etcd/metakv_factory.go",
"repo_id": "milvus",
"token_count": 1070
} | 1,938 |
# Copyright 2024 Salesforce.com, inc.
# 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/LICENS... | diffusers/src/diffusers/pipelines/controlnet/pipeline_controlnet_blip_diffusion.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/controlnet/pipeline_controlnet_blip_diffusion.py",
"repo_id": "diffusers",
"token_count": 7632
} | 252 |
# coding=utf-8
# Copyright 2024 HuggingFace Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | diffusers/examples/dreambooth/test_dreambooth.py/0 | {
"file_path": "diffusers/examples/dreambooth/test_dreambooth.py",
"repo_id": "diffusers",
"token_count": 4466
} | 206 |
<jupyter_start><jupyter_text>Simulated Environment: GymnasiumFor many applications of LLM agents, the environment is real (internet, database, REPL, etc). However, we can also define agents to interact in simulated environments like text-based games. This is an example of how to create a simple agent-environment intera... | langchain/cookbook/gymnasium_agent_simulation.ipynb/0 | {
"file_path": "langchain/cookbook/gymnasium_agent_simulation.ipynb",
"repo_id": "langchain",
"token_count": 1600
} | 77 |
<!--Copyright 2020 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/en/internal/tokenization_utils.md/0 | {
"file_path": "transformers/docs/source/en/internal/tokenization_utils.md",
"repo_id": "transformers",
"token_count": 428
} | 481 |
from pirate_speak_configurable.chain import chain
__all__ = ["chain"]
| langchain/templates/pirate-speak-configurable/pirate_speak_configurable/__init__.py/0 | {
"file_path": "langchain/templates/pirate-speak-configurable/pirate_speak_configurable/__init__.py",
"repo_id": "langchain",
"token_count": 21
} | 706 |
# LlamaIndex Readers Integration: Psychic
| llama_index/llama-index-integrations/readers/llama-index-readers-psychic/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-psychic/README.md",
"repo_id": "llama_index",
"token_count": 9
} | 1,368 |
metrics:
serviceMonitor:
enabled: true
cluster:
enabled: false
etcd:
enabled: false
minio:
enabled: false
tls:
enabled: false
pulsar:
enabled: false
extraConfigFiles:
user.yaml: |+
etcd:
use:
embed: true
data:
dir: /var/lib/milvus/etcd
common:
storageType... | milvus/tests/scripts/values/ci/nightly-one-pod.yaml/0 | {
"file_path": "milvus/tests/scripts/values/ci/nightly-one-pod.yaml",
"repo_id": "milvus",
"token_count": 150
} | 1,988 |
// 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/proxyutil/proxy_client_manager_test.go/0 | {
"file_path": "milvus/internal/util/proxyutil/proxy_client_manager_test.go",
"repo_id": "milvus",
"token_count": 5591
} | 1,809 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/querycoordv2/utils/types.go/0 | {
"file_path": "milvus/internal/querycoordv2/utils/types.go",
"repo_id": "milvus",
"token_count": 1951
} | 1,902 |
{
"name": "api_refs",
"version": "0.1.0",
"private": true,
"scripts": {
"dev": "next dev -p 3001",
"typedoc:build": "npx typedoc --options typedoc.json",
"build:scripts": "node ./scripts/create-entrypoints.js && yarn typedoc:build && node ./scripts/update-typedoc-css.js",
"build": "yarn clean &&... | langchainjs/docs/api_refs/package.json/0 | {
"file_path": "langchainjs/docs/api_refs/package.json",
"repo_id": "langchainjs",
"token_count": 515
} | 691 |
## go_client | milvus/tests/go_client/README.md/0 | {
"file_path": "milvus/tests/go_client/README.md",
"repo_id": "milvus",
"token_count": 4
} | 1,947 |
import { OpenAI } from "@langchain/openai";
import {
EntityMemory,
ENTITY_MEMORY_CONVERSATION_TEMPLATE,
} from "langchain/memory";
import { LLMChain } from "langchain/chains";
const memory = new EntityMemory({
llm: new OpenAI({ temperature: 0 }),
});
const model = new OpenAI({ temperature: 0.9 });
const chain = ... | langchainjs/examples/src/memory/entity_memory_inspection.ts/0 | {
"file_path": "langchainjs/examples/src/memory/entity_memory_inspection.ts",
"repo_id": "langchainjs",
"token_count": 442
} | 794 |
# Log10
This page covers how to use the [Log10](https://log10.io) within LangChain.
## What is Log10?
Log10 is an [open-source](https://github.com/log10-io/log10) proxiless LLM data management and application development platform that lets you log, debug and tag your Langchain calls.
## Quick start
1. Create your ... | langchain/docs/docs/integrations/providers/log10.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/log10.mdx",
"repo_id": "langchain",
"token_count": 1154
} | 141 |
# 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/src/transformers/models/align/configuration_align.py/0 | {
"file_path": "transformers/src/transformers/models/align/configuration_align.py",
"repo_id": "transformers",
"token_count": 6879
} | 601 |
<!--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/pt/converting_tensorflow_models.md/0 | {
"file_path": "transformers/docs/source/pt/converting_tensorflow_models.md",
"repo_id": "transformers",
"token_count": 2437
} | 507 |
"""Google Universal Sentence Encoder Embedding Wrapper Module."""
from typing import Any, List, Optional
from llama_index.core.base.embeddings.base import (
DEFAULT_EMBED_BATCH_SIZE,
BaseEmbedding,
)
from llama_index.core.bridge.pydantic import PrivateAttr
from llama_index.core.callbacks import CallbackManage... | llama_index/llama-index-integrations/embeddings/llama-index-embeddings-google/llama_index/embeddings/google/univ_sent_encoder.py/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-google/llama_index/embeddings/google/univ_sent_encoder.py",
"repo_id": "llama_index",
"token_count": 878
} | 1,362 |
import { BufferMemory } from "langchain/memory";
import { FirestoreChatMessageHistory } from "@langchain/community/stores/message/firestore";
import { ChatOpenAI } from "@langchain/openai";
import { ConversationChain } from "langchain/chains";
import admin from "firebase-admin";
const memory = new BufferMemory({
cha... | langchainjs/examples/src/memory/firestore.ts/0 | {
"file_path": "langchainjs/examples/src/memory/firestore.ts",
"repo_id": "langchainjs",
"token_count": 451
} | 888 |
from argparse import Namespace, _SubParsersAction
from .configuration import load_index
def query_cli(args: Namespace) -> None:
"""Handle subcommand "query"."""
index = load_index()
query_engine = index.as_query_engine()
print(query_engine.query(args.query))
def register_query_cli(subparsers: _SubP... | llama_index/experimental/cli/cli_query.py/0 | {
"file_path": "llama_index/experimental/cli/cli_query.py",
"repo_id": "llama_index",
"token_count": 205
} | 1,133 |
""" Lambda Layer
Paper: `LambdaNetworks: Modeling Long-Range Interactions Without Attention`
- https://arxiv.org/abs/2102.08602
@misc{2102.08602,
Author = {Irwan Bello},
Title = {LambdaNetworks: Modeling Long-Range Interactions Without Attention},
Year = {2021},
}
Status:
This impl is a WIP. Code snippets in the... | pytorch-image-models/timm/layers/lambda_layer.py/0 | {
"file_path": "pytorch-image-models/timm/layers/lambda_layer.py",
"repo_id": "pytorch-image-models",
"token_count": 2611
} | 365 |
python_sources()
python_tests(
name="tests",
)
| llama_index/llama-index-core/tests/readers/BUILD/0 | {
"file_path": "llama_index/llama-index-core/tests/readers/BUILD",
"repo_id": "llama_index",
"token_count": 22
} | 1,167 |
# 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/regnet/test_modeling_regnet.py/0 | {
"file_path": "transformers/tests/models/regnet/test_modeling_regnet.py",
"repo_id": "transformers",
"token_count": 4167
} | 732 |
pipeline {
options {
timestamps()
timeout(time: 30, unit: 'MINUTES') // timeout on this stage
}
agent {
kubernetes {
label "milvus-test"
defaultContainer 'main'
yamlFile "build/ci/jenkins/pod/chaos-test.yaml"
customWorkspace '/home/je... | milvus/build/ci/jenkins/ChaosTest.groovy/0 | {
"file_path": "milvus/build/ci/jenkins/ChaosTest.groovy",
"repo_id": "milvus",
"token_count": 9042
} | 1,885 |
use std::sync::{Arc, RwLock};
use pyo3::exceptions;
use pyo3::prelude::*;
use pyo3::types::*;
use serde::ser::SerializeStruct;
use serde::{Deserialize, Deserializer, Serialize, Serializer};
use tk::normalizer::SplitDelimiterBehavior;
use tk::pre_tokenizers::bert::BertPreTokenizer;
use tk::pre_tokenizers::byte_level::... | tokenizers/bindings/python/src/pre_tokenizers.rs/0 | {
"file_path": "tokenizers/bindings/python/src/pre_tokenizers.rs",
"repo_id": "tokenizers",
"token_count": 13027
} | 450 |
# Tutorials
Below are links to tutorials and courses on LangChain.js. For written guides on common use cases for LangChain.js, check out the [use cases](/docs/use_cases) and [guides](/docs/guides/) sections.
---
## Deeplearning.ai
We've partnered with [Deeplearning.ai](https://deeplearning.ai) and [Andrew Ng](https... | langchainjs/docs/core_docs/docs/additional_resources/tutorials/index.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/additional_resources/tutorials/index.mdx",
"repo_id": "langchainjs",
"token_count": 799
} | 690 |
[tool.poetry]
name = "rag-semi-structured"
version = "0.1.0"
description = "RAG on semi-structured "
authors = [
"Lance Martin <lance@langchain.dev>",
]
readme = "README.md"
[tool.poetry.dependencies]
python = ">=3.9,<3.11"
langchain = "^0.1"
tiktoken = ">=0.5.1"
chromadb = ">=0.4.14"
openai = "<2"
unstructured = ... | langchain/templates/rag-semi-structured/pyproject.toml/0 | {
"file_path": "langchain/templates/rag-semi-structured/pyproject.toml",
"repo_id": "langchain",
"token_count": 429
} | 688 |
mod app;
pub mod model;
pub mod worker;
pub use app::App;
pub use worker::Worker;
| candle/candle-wasm-examples/llama2-c/src/lib.rs/0 | {
"file_path": "candle/candle-wasm-examples/llama2-c/src/lib.rs",
"repo_id": "candle",
"token_count": 29
} | 83 |
import os
from typing import Dict, List, Union
import tensorflow as tf
from keras_nlp.tokenizers import BytePairTokenizer
from tensorflow_text import pad_model_inputs
from ...modeling_tf_utils import keras
from .tokenization_gpt2 import GPT2Tokenizer
class TFGPT2Tokenizer(keras.layers.Layer):
"""
This is an... | transformers/src/transformers/models/gpt2/tokenization_gpt2_tf.py/0 | {
"file_path": "transformers/src/transformers/models/gpt2/tokenization_gpt2_tf.py",
"repo_id": "transformers",
"token_count": 1565
} | 612 |
// 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/parquet_column_reader.go/0 | {
"file_path": "milvus/internal/util/importutil/parquet_column_reader.go",
"repo_id": "milvus",
"token_count": 4455
} | 1,881 |
from langchain.evaluation import __all__
EXPECTED_ALL = [
"EvaluatorType",
"ExactMatchStringEvaluator",
"RegexMatchStringEvaluator",
"PairwiseStringEvalChain",
"LabeledPairwiseStringEvalChain",
"QAEvalChain",
"CotQAEvalChain",
"ContextQAEvalChain",
"StringEvaluator",
"PairwiseSt... | langchain/libs/langchain/tests/unit_tests/evaluation/test_imports.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/evaluation/test_imports.py",
"repo_id": "langchain",
"token_count": 423
} | 638 |
/* eslint-disable spaced-comment */
import { BasePromptTemplate, PromptTemplate } from "@langchain/core/prompts";
export const DEFAULT_SQL_DATABASE_PROMPT = /*#__PURE__*/ new PromptTemplate({
template: `Given an input question, first create a syntactically correct {dialect} query to run, then look at the results of ... | langchainjs/langchain/src/chains/sql_db/sql_db_prompt.ts/0 | {
"file_path": "langchainjs/langchain/src/chains/sql_db/sql_db_prompt.ts",
"repo_id": "langchainjs",
"token_count": 2265
} | 960 |
<jupyter_start><jupyter_text>Human input chat modelAlong with HumanInputLLM, LangChain also provides a pseudo chat model class that can be used for testing, debugging, or educational purposes. This allows you to mock out calls to the chat model and simulate how a human would respond if they received the messages.In thi... | langchain/cookbook/human_input_chat_model.ipynb/0 | {
"file_path": "langchain/cookbook/human_input_chat_model.ipynb",
"repo_id": "langchain",
"token_count": 566
} | 72 |
<!--Copyright 2022 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/ja/model_doc/chinese_clip.md/0 | {
"file_path": "transformers/docs/source/ja/model_doc/chinese_clip.md",
"repo_id": "transformers",
"token_count": 2245
} | 547 |
"""
Question answering over an RDF or OWL graph using SPARQL.
"""
from __future__ import annotations
from typing import Any, Dict, List, Optional
from langchain_community.graphs.rdf_graph import RdfGraph
from langchain_core.callbacks import CallbackManagerForChainRun
from langchain_core.language_models import BaseLan... | langchain/libs/langchain/langchain/chains/graph_qa/sparql.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chains/graph_qa/sparql.py",
"repo_id": "langchain",
"token_count": 2273
} | 468 |
[tool.ruff]
# Never enforce `E501` (line length violations).
ignore = ["C901", "E501", "E741", "F402", "F823" ]
select = ["C", "E", "F", "I", "W"]
line-length = 119
# Ignore import violations in all `__init__.py` files.
[tool.ruff.per-file-ignores]
"__init__.py" = ["E402", "F401", "F403", "F811"]
"src/transformers/fil... | transformers/pyproject.toml/0 | {
"file_path": "transformers/pyproject.toml",
"repo_id": "transformers",
"token_count": 406
} | 625 |
from __future__ import annotations
import re
from typing import Dict, List, Optional
from langchain_core.output_parsers import BaseOutputParser
class RegexParser(BaseOutputParser):
"""Parse the output of an LLM call using a regex."""
@classmethod
def is_lc_serializable(cls) -> bool:
return True... | langchain/libs/langchain/langchain/output_parsers/regex.py/0 | {
"file_path": "langchain/libs/langchain/langchain/output_parsers/regex.py",
"repo_id": "langchain",
"token_count": 518
} | 527 |
# neo4j-parent
This template allows you to balance precise embeddings and context retention by splitting documents into smaller chunks and retrieving their original or larger text information.
Using a Neo4j vector index, the package queries child nodes using vector similarity search and retrieves the corresponding ... | langchain/templates/neo4j-parent/README.md/0 | {
"file_path": "langchain/templates/neo4j-parent/README.md",
"repo_id": "langchain",
"token_count": 874
} | 644 |
# Conclusion [[conclusion]]
Congrats on finishing this unit! **That was the biggest one**, and there was a lot of information. And congrats on finishing the tutorial. You’ve just trained your first Deep RL agents and shared them with the community! 🥳
It's **normal if you still feel confused by some of these elements... | deep-rl-class/units/en/unit1/conclusion.mdx/0 | {
"file_path": "deep-rl-class/units/en/unit1/conclusion.mdx",
"repo_id": "deep-rl-class",
"token_count": 349
} | 162 |
python_tests()
| llama_index/llama-index-integrations/storage/kvstore/llama-index-storage-kvstore-firestore/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/storage/kvstore/llama-index-storage-kvstore-firestore/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,468 |
from langchain_community.embeddings.infinity import (
InfinityEmbeddings,
TinyAsyncOpenAIInfinityEmbeddingClient,
)
__all__ = ["InfinityEmbeddings", "TinyAsyncOpenAIInfinityEmbeddingClient"]
| langchain/libs/langchain/langchain/embeddings/infinity.py/0 | {
"file_path": "langchain/libs/langchain/langchain/embeddings/infinity.py",
"repo_id": "langchain",
"token_count": 67
} | 546 |
use std::ffi::{c_char, c_void, CStr};
use crate::{
array::RustArray,
index_reader::IndexReaderWrapper,
util::{create_binding, free_binding},
util_c::tantivy_index_exist,
};
#[no_mangle]
pub extern "C" fn tantivy_load_index(path: *const c_char) -> *mut c_void {
assert!(tantivy_index_exist(path));
... | milvus/internal/core/thirdparty/tantivy/tantivy-binding/src/index_reader_c.rs/0 | {
"file_path": "milvus/internal/core/thirdparty/tantivy/tantivy-binding/src/index_reader_c.rs",
"repo_id": "milvus",
"token_count": 2773
} | 1,762 |
python_tests(
name="tests",
)
| llama_index/llama-index-core/tests/utilities/BUILD/0 | {
"file_path": "llama_index/llama-index-core/tests/utilities/BUILD",
"repo_id": "llama_index",
"token_count": 15
} | 1,331 |
import { ChatOpenAI, OpenAIEmbeddings } from "@langchain/openai";
import { MemoryVectorStore } from "langchain/vectorstores/memory";
import { TokenTextSplitter } from "langchain/text_splitter";
import { SearchApiLoader } from "langchain/document_loaders/web/searchapi";
import { ChatPromptTemplate } from "@langchain/cor... | langchainjs/examples/src/document_loaders/searchapi.ts/0 | {
"file_path": "langchainjs/examples/src/document_loaders/searchapi.ts",
"repo_id": "langchainjs",
"token_count": 527
} | 797 |
<!--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/training_zoo.md/0 | {
"file_path": "accelerate/docs/source/usage_guides/training_zoo.md",
"repo_id": "accelerate",
"token_count": 5980
} | 6 |
:mod:`{{module}}`.{{objname}}
{{ underline }}==============
.. currentmodule:: {{ module }}
.. autoclass:: {{ objname }}
{% block attributes %}
{% for item in attributes %}
.. autoattribute:: {{ item }}
{% endfor %}
{% endblock %}
.. example_links:: {{ objname }}
| langchain/docs/api_reference/templates/enum.rst/0 | {
"file_path": "langchain/docs/api_reference/templates/enum.rst",
"repo_id": "langchain",
"token_count": 104
} | 85 |
python_sources()
| llama_index/llama-index-core/llama_index/core/download/BUILD/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/download/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,119 |
"""ReAct multimodal agent."""
import uuid
from functools import partial
from typing import Any, Dict, List, Optional, Protocol, Sequence, Tuple, cast
from llama_index.core.agent.react.formatter import ReActChatFormatter
from llama_index.core.agent.react.output_parser import ReActOutputParser
from llama_index.core.age... | llama_index/llama-index-core/llama_index/core/agent/react_multimodal/step.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/agent/react_multimodal/step.py",
"repo_id": "llama_index",
"token_count": 8271
} | 1,244 |
# coding=utf-8
# Copyright 2024, Haofan Wang, Qixun Wang, 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 re... | diffusers/scripts/convert_lora_safetensor_to_diffusers.py/0 | {
"file_path": "diffusers/scripts/convert_lora_safetensor_to_diffusers.py",
"repo_id": "diffusers",
"token_count": 2129
} | 223 |
import { LLMChain } from "langchain/chains";
import { OpenAI } from "@langchain/openai";
import { ConsoleCallbackHandler } from "@langchain/core/tracers/console";
import { PromptTemplate } from "@langchain/core/prompts";
export const run = async () => {
const handler = new ConsoleCallbackHandler();
const llm = new... | langchainjs/examples/src/callbacks/console_handler.ts/0 | {
"file_path": "langchainjs/examples/src/callbacks/console_handler.ts",
"repo_id": "langchainjs",
"token_count": 286
} | 772 |
import { test, expect } from "@jest/globals";
import { DriaRetriever } from "../dria.js";
test.skip("DriaRetriever", async () => {
// contract of TypeScript Handbook v4.9 uploaded to Dria
// https://dria.co/knowledge/-B64DjhUtCwBdXSpsRytlRQCu-bie-vSTvTIT8Ap3g0
const contractId = "-B64DjhUtCwBdXSpsRytlRQCu-bie-vS... | langchainjs/libs/langchain-community/src/retrievers/tests/dria.int.test.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/retrievers/tests/dria.int.test.ts",
"repo_id": "langchainjs",
"token_count": 224
} | 952 |
# coding=utf-8
# Copyright 2022 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | transformers/src/transformers/models/layoutlmv3/processing_layoutlmv3.py/0 | {
"file_path": "transformers/src/transformers/models/layoutlmv3/processing_layoutlmv3.py",
"repo_id": "transformers",
"token_count": 3523
} | 703 |
<!--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/using-diffusers/sdxl.md/0 | {
"file_path": "diffusers/docs/source/en/using-diffusers/sdxl.md",
"repo_id": "diffusers",
"token_count": 7003
} | 187 |
/* eslint-disable import/first */
/* eslint-disable arrow-body-style */
import { z } from "zod";
import { DynamicStructuredTool } from "@langchain/core/tools";
const addTool = new DynamicStructuredTool({
name: "add",
description: "Add two integers together.",
schema: z.object({
firstInt: z.number(),
sec... | langchainjs/examples/src/use_cases/tool_use/parallel.ts/0 | {
"file_path": "langchainjs/examples/src/use_cases/tool_use/parallel.ts",
"repo_id": "langchainjs",
"token_count": 954
} | 828 |
Crates.io
----------------------------------------------------------------------------------------------------
🤗 Tokenizers is available on `crates.io <https://crates.io/crates/tokenizers>`__.
You just need to add it to your :obj:`Cargo.toml`::
tokenizers = "0.10"
| tokenizers/docs/source/installation/rust.inc/0 | {
"file_path": "tokenizers/docs/source/installation/rust.inc",
"repo_id": "tokenizers",
"token_count": 74
} | 414 |
package parameterutil
import (
"fmt"
"strconv"
"github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
"github.com/milvus-io/milvus/pkg/common"
"github.com/milvus-io/milvus/pkg/util/merr"
"github.com/milvus-io/milvus/pkg/util/typeutil"
)
// GetMaxLength get max length of field. Maybe also helpful outside.
func ... | milvus/pkg/util/parameterutil/get_max_len.go/0 | {
"file_path": "milvus/pkg/util/parameterutil/get_max_len.go",
"repo_id": "milvus",
"token_count": 771
} | 1,838 |
from unittest.mock import Mock
from llama_index.legacy.chat_engine.condense_question import (
CondenseQuestionChatEngine,
)
from llama_index.legacy.core.base_query_engine import BaseQueryEngine
from llama_index.legacy.core.llms.types import ChatMessage, MessageRole
from llama_index.legacy.core.response.schema impo... | llama_index/llama-index-legacy/tests/chat_engine/test_condense_question.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/chat_engine/test_condense_question.py",
"repo_id": "llama_index",
"token_count": 740
} | 1,627 |
// 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"
internalpb "github.com/milvus-io/milvus/internal/proto/internalpb"
milvuspb "github.com/milvus-io/milvus-proto/go-api/v2/milvuspb"
mock "github.com/stret... | milvus/internal/querycoordv2/mocks/mock_querynode.go/0 | {
"file_path": "milvus/internal/querycoordv2/mocks/mock_querynode.go",
"repo_id": "milvus",
"token_count": 19694
} | 1,897 |
import { z } from "zod";
import { ChatOpenAI } from "@langchain/openai";
import { createExtractionChainFromZod } from "langchain/chains";
const zodSchema = z.object({
"person-name": z.string().optional(),
"person-age": z.number().optional(),
"person-hair_color": z.string().optional(),
"dog-name": z.string().op... | langchainjs/examples/src/chains/openai_functions_extraction.ts/0 | {
"file_path": "langchainjs/examples/src/chains/openai_functions_extraction.ts",
"repo_id": "langchainjs",
"token_count": 395
} | 801 |
"""Unit tests for agents."""
import json
from itertools import cycle
from typing import Any, Dict, List, Optional, Union, cast
from langchain_core.agents import (
AgentAction,
AgentActionMessageLog,
AgentFinish,
AgentStep,
)
from langchain_core.language_models.llms import LLM
from langchain_core.messa... | langchain/libs/langchain/tests/unit_tests/agents/test_agent.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/agents/test_agent.py",
"repo_id": "langchain",
"token_count": 21560
} | 620 |
import { collections } from "$lib/server/database";
import { ObjectId } from "mongodb";
import { describe, expect, it } from "vitest";
import { insertLegacyConversation, insertSideBranchesConversation } from "./treeHelpers.spec";
import { addChildren } from "./addChildren";
import type { Message } from "$lib/types/Mes... | chat-ui/src/lib/utils/tree/addChildren.spec.ts/0 | {
"file_path": "chat-ui/src/lib/utils/tree/addChildren.spec.ts",
"repo_id": "chat-ui",
"token_count": 1301
} | 99 |
# LlamaIndex Graph Stores Integration: Neo4J
| llama_index/llama-index-integrations/graph_stores/llama-index-graph-stores-neo4j/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/graph_stores/llama-index-graph-stores-neo4j/README.md",
"repo_id": "llama_index",
"token_count": 12
} | 1,283 |
# Momento Vector Index (MVI)
[MVI](https://gomomento.com): the most productive, easiest to use, serverless vector index for your data. To get started with MVI, simply sign up for an account. There's no need to handle infrastructure, manage servers, or be concerned about scaling. MVI is a service that scales automatica... | langchainjs/docs/core_docs/docs/integrations/vectorstores/momento_vector_index.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/vectorstores/momento_vector_index.mdx",
"repo_id": "langchainjs",
"token_count": 799
} | 749 |
# Node Postprocessor Modules
## SimilarityPostprocessor
Used to remove nodes that are below a similarity score threshold.
```python
from llama_index.core.postprocessor import SimilarityPostprocessor
postprocessor = SimilarityPostprocessor(similarity_cutoff=0.7)
postprocessor.postprocess_nodes(nodes)
```
## Keywor... | llama_index/docs/module_guides/querying/node_postprocessors/node_postprocessors.md/0 | {
"file_path": "llama_index/docs/module_guides/querying/node_postprocessors/node_postprocessors.md",
"repo_id": "llama_index",
"token_count": 2815
} | 1,124 |
"""Chain for interacting with SQL Database."""
from __future__ import annotations
import warnings
from typing import Any, Dict, List, Optional
from langchain.callbacks.manager import CallbackManagerForChainRun
from langchain.chains.base import Chain
from langchain.chains.llm import LLMChain
from langchain.chains.sql_... | langchain/libs/experimental/langchain_experimental/sql/base.py/0 | {
"file_path": "langchain/libs/experimental/langchain_experimental/sql/base.py",
"repo_id": "langchain",
"token_count": 5673
} | 425 |
package model
import (
"time"
pb "github.com/milvus-io/milvus/internal/proto/etcdpb"
"github.com/milvus-io/milvus/pkg/util"
)
type Database struct {
TenantID string
ID int64
Name string
State pb.DatabaseState
CreatedTime uint64
}
func NewDatabase(id int64, name string, sate pb.Datab... | milvus/internal/metastore/model/database.go/0 | {
"file_path": "milvus/internal/metastore/model/database.go",
"repo_id": "milvus",
"token_count": 715
} | 1,998 |
<jupyter_start><jupyter_text>---sidebar_position: 1title: Interface---<jupyter_code>To make it as easy as possible to create custom chains, we've implemented a ["Runnable"](https://api.python.langchain.com/en/stable/runnables/langchain_core.runnables.base.Runnable.html#langchain_core.runnables.base.Runnable) protocol. ... | langchain/docs/docs/expression_language/interface.ipynb/0 | {
"file_path": "langchain/docs/docs/expression_language/interface.ipynb",
"repo_id": "langchain",
"token_count": 6992
} | 89 |
import { AppProps } from "next/app";
import Head from "next/head";
import { MantineProvider, MantineThemeOverride } from "@mantine/core";
import React from "react";
import { IS_DEV } from "../utils/variables";
import * as snippet from "@segment/snippet";
import { useEffect } from "react";
import { Notifications } from ... | auto-evaluator/nextjs/pages/_app.tsx/0 | {
"file_path": "auto-evaluator/nextjs/pages/_app.tsx",
"repo_id": "auto-evaluator",
"token_count": 1268
} | 2 |
# 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/unispeech/test_modeling_unispeech.py/0 | {
"file_path": "transformers/tests/models/unispeech/test_modeling_unispeech.py",
"repo_id": "transformers",
"token_count": 10418
} | 754 |
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