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poetry_requirements( name="poetry", ) python_requirements( name="reqs", )
llama_index/llama-index-packs/llama-index-packs-deeplake-multimodal-retrieval/BUILD/0
{ "file_path": "llama_index/llama-index-packs/llama-index-packs-deeplake-multimodal-retrieval/BUILD", "repo_id": "llama_index", "token_count": 36 }
1,581
from langchain_community.document_loaders.mediawikidump import MWDumpLoader __all__ = ["MWDumpLoader"]
langchain/libs/langchain/langchain/document_loaders/mediawikidump.py/0
{ "file_path": "langchain/libs/langchain/langchain/document_loaders/mediawikidump.py", "repo_id": "langchain", "token_count": 33 }
484
{ "[python]": { "editor.formatOnSave": true, "editor.codeActionsOnSave": { "source.fixAll": "explicit" }, "editor.defaultFormatter": "ms-python.black-formatter" }, "python.testing.pytestArgs": ["tests"], "python.testing.unittestEnabled": false, "python.testing.pytestEnabled": true }
llama_index/.vscode/settings.json/0
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1,152
"""Util that calls Bing Search. In order to set this up, follow instructions at: https://levelup.gitconnected.com/api-tutorial-how-to-use-bing-web-search-api-in-python-4165d5592a7e """ from typing import Dict, List import requests from langchain_core.pydantic_v1 import BaseModel, Extra, Field, root_validator from lan...
langchain/libs/community/langchain_community/utilities/bing_search.py/0
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package kv import ( "github.com/milvus-io/milvus/pkg/util/typeutil" ) type mockSnapshotKV struct { SnapShotKV SaveFunc func(key string, value string, ts typeutil.Timestamp) error LoadFunc func(key string, ts typeutil.Timestamp) (string, error) MultiSaveFunc ...
milvus/internal/kv/mock_snapshot_kv.go/0
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# Wikipedia Tool This tool fetches content from wikipedia and makes it available to the agent as a Tool. You can search for pages or load pages directly. ## Usage This tool has more extensive example usage documented in a Jupyter notebook [here](https://github.com/emptycrown/llama-hub/tree/main/llama_hub/tools/noteb...
llama_index/llama-index-integrations/tools/llama-index-tools-wikipedia/README.md/0
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/* eslint-disable no-process-env */ // eslint-disable-next-line import/no-extraneous-dependencies import { BaseClient } from "@xata.io/client"; import { OpenAIEmbeddings } from "@langchain/openai"; import { Document } from "@langchain/core/documents"; import { XataVectorSearch } from "../xata.js"; // Tests require a ...
langchainjs/libs/langchain-community/src/vectorstores/tests/xata.int.test.ts/0
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from typing import Dict, Tuple import pytest from langchain_community.vectorstores.redis.filters import ( RedisFilterExpression, RedisNum, RedisTag, RedisText, ) from langchain_community.vectorstores.redis.schema import ( NumericFieldSchema, RedisModel, TagFieldSchema, TextFieldSchema, ...
langchain/libs/langchain/tests/unit_tests/retrievers/self_query/test_redis.py/0
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from typing import TYPE_CHECKING from langchain_community.document_loaders.parsers.language.tree_sitter_segmenter import ( # noqa: E501 TreeSitterSegmenter, ) if TYPE_CHECKING: from tree_sitter import Language CHUNK_QUERY = """ [ (function_definition_statement name: (identifier)) @f...
langchain/libs/community/langchain_community/document_loaders/parsers/language/lua.py/0
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245
poetry_requirements( name="poetry", module_mapping={"instructorembedding": ["InstructorEmbedding"]} )
llama_index/llama-index-integrations/embeddings/llama-index-embeddings-instructor/BUILD/0
{ "file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-instructor/BUILD", "repo_id": "llama_index", "token_count": 43 }
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"""Test functionality related to natbot.""" from typing import Any, Dict, List, Optional from langchain_core.language_models.llms import LLM from langchain.callbacks.manager import CallbackManagerForLLMRun from langchain.chains.natbot.base import NatBotChain class FakeLLM(LLM): """Fake LLM wrapper for testing ...
langchain/libs/langchain/tests/unit_tests/chains/test_natbot.py/0
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import pytest from base.client_base import TestcaseBase from common import common_func as cf from common import common_type as ct from common.common_type import CaseLabel, CheckTasks from utils.util_pymilvus import * config_nodes = 8 class TestResourceGroupParams(TestcaseBase): @pytest.fixture(scope="function"...
milvus/tests/python_client/testcases/test_resourcegroup.py/0
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"""Utils for OpenAI agent.""" from typing import List, Union from llama_index.core.tools import BaseTool def get_function_by_name(tools: List[BaseTool], name: str) -> BaseTool: """Get function by name.""" name_to_tool = {tool.metadata.name: tool for tool in tools} if name not in name_to_tool: ra...
llama_index/llama-index-integrations/agent/llama-index-agent-openai/llama_index/agent/openai/utils.py/0
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use serde::{Deserialize, Serialize}; use crate::tokenizer::{PreTokenizedString, PreTokenizer, Result, SplitDelimiterBehavior}; use crate::utils::macro_rules_attribute; #[derive(Copy, Clone, Debug, PartialEq, Eq)] #[non_exhaustive] #[macro_rules_attribute(impl_serde_type!)] pub struct CharDelimiterSplit { pub deli...
tokenizers/tokenizers/src/pre_tokenizers/delimiter.rs/0
{ "file_path": "tokenizers/tokenizers/src/pre_tokenizers/delimiter.rs", "repo_id": "tokenizers", "token_count": 296 }
421
from langchain.schema.runnable.passthrough import __all__ EXPECTED_ALL = ["RunnableAssign", "RunnablePassthrough", "aidentity", "identity"] def test_all_imports() -> None: assert set(__all__) == set(EXPECTED_ALL)
langchain/libs/langchain/tests/unit_tests/schema/runnable/test_passthrough.py/0
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<!--Copyright 2023 The HuggingFace Team. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed...
transformers/docs/source/ja/custom_tools.md/0
{ "file_path": "transformers/docs/source/ja/custom_tools.md", "repo_id": "transformers", "token_count": 15514 }
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/* eslint-disable no-process-env */ import { PromptTemplate } from "@langchain/core/prompts"; import * as hub from "../hub.js"; test("Test LangChain Hub client pushing a new repo", async () => { const prompt = PromptTemplate.fromTemplate( `You are a parrot. The current date is ${new Date().toISOString()}\n{inpu...
langchainjs/langchain/src/tests/hub.int.test.ts/0
{ "file_path": "langchainjs/langchain/src/tests/hub.int.test.ts", "repo_id": "langchainjs", "token_count": 234 }
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# mypy: disable-error-code=no-untyped-def # Because Python >3.9 doesn't support ast.unparse, # we copied the unparse functionality from here: # https://github.com/python/cpython/blob/3.8/Tools/parser/unparse.py "Usage: unparse.py <path to source file>" import ast import io import sys import tokenize # Large float and ...
langchain/libs/community/langchain_community/tools/e2b_data_analysis/unparse.py/0
{ "file_path": "langchain/libs/community/langchain_community/tools/e2b_data_analysis/unparse.py", "repo_id": "langchain", "token_count": 11059 }
295
"""Merriam-Webster API toolkit."""
langchain/libs/community/langchain_community/tools/merriam_webster/__init__.py/0
{ "file_path": "langchain/libs/community/langchain_community/tools/merriam_webster/__init__.py", "repo_id": "langchain", "token_count": 13 }
313
<!--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/api/pipelines/stable_diffusion/latent_upscale.md/0
{ "file_path": "diffusers/docs/source/en/api/pipelines/stable_diffusion/latent_upscale.md", "repo_id": "diffusers", "token_count": 543 }
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# 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/data2vec/test_modeling_tf_data2vec_vision.py/0
{ "file_path": "transformers/tests/models/data2vec/test_modeling_tf_data2vec_vision.py", "repo_id": "transformers", "token_count": 9984 }
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# Summary [Introduction](README.md) # User Guide - [Installation](guide/installation.md) - [Hello World - MNIST](guide/hello_world.md) - [PyTorch cheatsheet](guide/cheatsheet.md) # Reference Guide - [Running a model](inference/inference.md) - [Using the hub](inference/hub.md) - [Error management](error_manage....
candle/candle-book/src/SUMMARY.md/0
{ "file_path": "candle/candle-book/src/SUMMARY.md", "repo_id": "candle", "token_count": 274 }
23
from llama_index.storage.index_store.dynamodb.base import DynamoDBIndexStore __all__ = ["DynamoDBIndexStore"]
llama_index/llama-index-integrations/storage/index_store/llama-index-storage-index-store-dynamodb/llama_index/storage/index_store/dynamodb/__init__.py/0
{ "file_path": "llama_index/llama-index-integrations/storage/index_store/llama-index-storage-index-store-dynamodb/llama_index/storage/index_store/dynamodb/__init__.py", "repo_id": "llama_index", "token_count": 42 }
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import { MongoClient, ObjectId } from "mongodb"; import { BufferMemory } from "langchain/memory"; import { ChatOpenAI } from "@langchain/openai"; import { ConversationChain } from "langchain/chains"; import { MongoDBChatMessageHistory } from "@langchain/community/stores/message/mongodb"; const client = new MongoClient...
langchainjs/examples/src/memory/mongodb.ts/0
{ "file_path": "langchainjs/examples/src/memory/mongodb.ts", "repo_id": "langchainjs", "token_count": 439 }
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# coding=utf-8 # Copyright 2021 The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless requir...
transformers/tests/models/clip/test_tokenization_clip.py/0
{ "file_path": "transformers/tests/models/clip/test_tokenization_clip.py", "repo_id": "transformers", "token_count": 4004 }
753
from typing import List from langchain_core.messages import ( AIMessage, BaseMessage, ChatMessage, HumanMessage, SystemMessage, ) def _convert_one_message_to_text_llama(message: BaseMessage) -> str: if isinstance(message, ChatMessage): message_text = f"\n\n{message.role.capitalize()}:...
langchain/libs/community/langchain_community/chat_models/meta.py/0
{ "file_path": "langchain/libs/community/langchain_community/chat_models/meta.py", "repo_id": "langchain", "token_count": 368 }
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from __future__ import annotations from typing import Optional, Type from langchain_core.callbacks import ( AsyncCallbackManagerForToolRun, CallbackManagerForToolRun, ) from langchain_core.pydantic_v1 import BaseModel from langchain_community.tools.playwright.base import BaseBrowserTool from langchain_commun...
langchain/libs/community/langchain_community/tools/playwright/current_page.py/0
{ "file_path": "langchain/libs/community/langchain_community/tools/playwright/current_page.py", "repo_id": "langchain", "token_count": 501 }
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"""Default query for SQLStructStoreIndex.""" import logging from abc import abstractmethod from typing import Any, Dict, List, Optional, Tuple, Union, cast from llama_index.core.base.base_query_engine import BaseQueryEngine from llama_index.core.base.response.schema import Response from llama_index.core.indices.struct...
llama_index/llama-index-core/llama_index/core/indices/struct_store/sql_query.py/0
{ "file_path": "llama_index/llama-index-core/llama_index/core/indices/struct_store/sql_query.py", "repo_id": "llama_index", "token_count": 8847 }
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apiVersion: chaos-mesh.org/v1alpha1 kind: PodChaos metadata: name: test-datanode-container-kill namespace: chaos-testing spec: action: container-kill mode: one containerName: 'datanode' selector: namespaces: - chaos-testing # target namespace of milvus deployment labelSelectors: ...
milvus/tests/python_client/chaos/chaos_objects/container_kill/chaos_datanode_container_kill.yaml/0
{ "file_path": "milvus/tests/python_client/chaos/chaos_objects/container_kill/chaos_datanode_container_kill.yaml", "repo_id": "milvus", "token_count": 186 }
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label: 'LangChain Expression Language' position: 1
langchainjs/docs/core_docs/docs/expression_language/_category_.yml/0
{ "file_path": "langchainjs/docs/core_docs/docs/expression_language/_category_.yml", "repo_id": "langchainjs", "token_count": 13 }
767
<!--Copyright 2023 The HuggingFace Team. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed...
transformers/docs/source/en/attention.md/0
{ "file_path": "transformers/docs/source/en/attention.md", "repo_id": "transformers", "token_count": 958 }
433
from langchain_community.utilities.graphql import GraphQLAPIWrapper __all__ = ["GraphQLAPIWrapper"]
langchain/libs/langchain/langchain/utilities/graphql.py/0
{ "file_path": "langchain/libs/langchain/langchain/utilities/graphql.py", "repo_id": "langchain", "token_count": 31 }
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# This is a sample to deploy a milvus cluster using pulsar with minimum cost of resources. apiVersion: milvus.io/v1beta1 kind: Milvus metadata: name: operator-demo namespace: chaos-testing labels: app: milvus spec: mode: standalone config: dataNode: memory: forceSyncEnable: false ...
milvus/tests/python_client/deploy/milvus_crd.yaml/0
{ "file_path": "milvus/tests/python_client/deploy/milvus_crd.yaml", "repo_id": "milvus", "token_count": 2668 }
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use crate::quantized_nn::{layer_norm, linear, linear_no_bias, Embedding, Linear}; pub use crate::quantized_var_builder::VarBuilder; use candle::{DType, Device, Module, Result, Tensor, D}; use candle_nn::{Activation, LayerNorm}; use std::sync::Arc; pub use crate::models::stable_lm::Config; use crate::models::stable_lm:...
candle/candle-transformers/src/models/quantized_stable_lm.rs/0
{ "file_path": "candle/candle-transformers/src/models/quantized_stable_lm.rs", "repo_id": "candle", "token_count": 5389 }
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poetry_requirements( name="poetry", )
llama_index/llama-index-integrations/storage/index_store/llama-index-storage-index-store-mongodb/BUILD/0
{ "file_path": "llama_index/llama-index-integrations/storage/index_store/llama-index-storage-index-store-mongodb/BUILD", "repo_id": "llama_index", "token_count": 18 }
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#!/usr/bin/env python # 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/LI...
transformers/examples/pytorch/image-pretraining/run_mae.py/0
{ "file_path": "transformers/examples/pytorch/image-pretraining/run_mae.py", "repo_id": "transformers", "token_count": 6396 }
513
python_sources()
llama_index/llama-index-integrations/llms/llama-index-llms-portkey/llama_index/llms/portkey/BUILD/0
{ "file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-portkey/llama_index/llms/portkey/BUILD", "repo_id": "llama_index", "token_count": 6 }
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# Copyright 2024 The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicabl...
diffusers/src/diffusers/utils/state_dict_utils.py/0
{ "file_path": "diffusers/src/diffusers/utils/state_dict_utils.py", "repo_id": "diffusers", "token_count": 5701 }
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{ "details": { "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, "prefill": [ { "id": 1, "logprob": null, "text": "<s>" }, { "id": 1724, "logprob": -10.734375, "text": "What" }, { "id": 33...
text-generation-inference/integration-tests/models/__snapshots__/test_flash_medusa/test_flash_medusa_simple.json/0
{ "file_path": "text-generation-inference/integration-tests/models/__snapshots__/test_flash_medusa/test_flash_medusa_simple.json", "repo_id": "text-generation-inference", "token_count": 1227 }
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from langchain_community.llms.fireworks import ( Fireworks, ) __all__ = [ "Fireworks", ]
langchain/libs/langchain/langchain/llms/fireworks.py/0
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// Copyright (C) 2019-2020 Zilliz. All rights reserved. // // Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance // with the License. You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable l...
milvus/internal/core/src/indexbuilder/ScalarIndexCreator.cpp/0
{ "file_path": "milvus/internal/core/src/indexbuilder/ScalarIndexCreator.cpp", "repo_id": "milvus", "token_count": 941 }
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import { MONGODB_URL, MONGODB_DB_NAME, MONGODB_DIRECT_CONNECTION } from "$env/static/private"; import { GridFSBucket, MongoClient } from "mongodb"; import type { Conversation } from "$lib/types/Conversation"; import type { SharedConversation } from "$lib/types/SharedConversation"; import type { AbortedGeneration } from...
chat-ui/src/lib/server/database.ts/0
{ "file_path": "chat-ui/src/lib/server/database.ts", "repo_id": "chat-ui", "token_count": 1275 }
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poetry_requirements( name="poetry", ) python_requirements( name="reqs", )
llama_index/llama-index-packs/llama-index-packs-fusion-retriever/BUILD/0
{ "file_path": "llama_index/llama-index-packs/llama-index-packs-fusion-retriever/BUILD", "repo_id": "llama_index", "token_count": 36 }
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# Copyright 2022 The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicabl...
trl/tests/test_core.py/0
{ "file_path": "trl/tests/test_core.py", "repo_id": "trl", "token_count": 568 }
778
#!/usr/bin/env python # Copyright 2021 The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unles...
accelerate/src/accelerate/commands/config/cluster.py/0
{ "file_path": "accelerate/src/accelerate/commands/config/cluster.py", "repo_id": "accelerate", "token_count": 14546 }
10
from langchain_community.embeddings.sentence_transformer import ( SentenceTransformerEmbeddings, ) __all__ = ["SentenceTransformerEmbeddings"]
langchain/libs/langchain/langchain/embeddings/sentence_transformer.py/0
{ "file_path": "langchain/libs/langchain/langchain/embeddings/sentence_transformer.py", "repo_id": "langchain", "token_count": 47 }
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import { ChatCohere } from "@langchain/cohere"; import { ChatPromptTemplate } from "@langchain/core/prompts"; const model = new ChatCohere({ apiKey: process.env.COHERE_API_KEY, // Default model: "command", // Default }); const prompt = ChatPromptTemplate.fromMessages([ ["ai", "You are a helpful assistant"], ["...
langchainjs/examples/src/models/chat/cohere/chat_cohere.ts/0
{ "file_path": "langchainjs/examples/src/models/chat/cohere/chat_cohere.ts", "repo_id": "langchainjs", "token_count": 518 }
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# 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 law or ag...
milvus/tests/python_client/chaos/scripts/verify_all_collections.py/0
{ "file_path": "milvus/tests/python_client/chaos/scripts/verify_all_collections.py", "repo_id": "milvus", "token_count": 1910 }
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"""Test in memory docstore.""" from langchain.output_parsers.combining import CombiningOutputParser from langchain.output_parsers.regex import RegexParser from langchain.output_parsers.structured import ResponseSchema, StructuredOutputParser DEF_EXPECTED_RESULT = { "answer": "Paris", "source": "https://en.wiki...
langchain/libs/langchain/tests/unit_tests/output_parsers/test_combining_parser.py/0
{ "file_path": "langchain/libs/langchain/tests/unit_tests/output_parsers/test_combining_parser.py", "repo_id": "langchain", "token_count": 619 }
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locust_search_performance: collections: - milvus: cache_config.cpu_cache_capacity: 8GB cache_config.insert_buffer_size: 2GB engine_config.use_blas_threshold: 1100 engine_config.gpu_search_threshold: 1 gpu_resource_config.enable: false gpu_resource_config.cach...
milvus/tests/benchmark/milvus_benchmark/suites/2_locust_search.yaml/0
{ "file_path": "milvus/tests/benchmark/milvus_benchmark/suites/2_locust_search.yaml", "repo_id": "milvus", "token_count": 672 }
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--- sidebar_position: 0 --- # Quickstart The quick start will cover the basics of working with language models. It will introduce the two different types of models - LLMs and ChatModels. It will then cover how to use PromptTemplates to format the inputs to these models, and how to use Output Parsers to work with the ...
langchainjs/docs/core_docs/docs/modules/model_io/quick_start.mdx/0
{ "file_path": "langchainjs/docs/core_docs/docs/modules/model_io/quick_start.mdx", "repo_id": "langchainjs", "token_count": 2396 }
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#!/usr/bin/env bash if ! [ -f ./dev.txt ]; then echo "Download dev dataset...." curl -L -o ./dev.txt 'https://github.com/UniversalDependencies/UD_English-EWT/raw/master/en_ewt-ud-dev.conllu' fi if ! [ -f ./test.txt ]; then echo "Download test dataset...." curl -L -o ./test.txt 'https://github.com/UniversalDepe...
transformers/examples/legacy/pytorch-lightning/run_pos.sh/0
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"""Code Interpreter tool spec.""" import subprocess import sys from llama_index.core.tools.tool_spec.base import BaseToolSpec class CodeInterpreterToolSpec(BaseToolSpec): """Code Interpreter tool spec. WARNING: This tool provides the Agent access to the `subprocess.run` command. Arbitrary code executio...
llama_index/llama-index-integrations/tools/llama-index-tools-code-interpreter/llama_index/tools/code_interpreter/base.py/0
{ "file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-code-interpreter/llama_index/tools/code_interpreter/base.py", "repo_id": "llama_index", "token_count": 437 }
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"""Test SmartLLM.""" from langchain.prompts.prompt import PromptTemplate from langchain_community.chat_models import FakeListChatModel from langchain_community.llms import FakeListLLM from langchain_experimental.smart_llm import SmartLLMChain def test_ideation() -> None: # test that correct responses are returne...
langchain/libs/experimental/tests/unit_tests/test_smartllm.py/0
{ "file_path": "langchain/libs/experimental/tests/unit_tests/test_smartllm.py", "repo_id": "langchain", "token_count": 1722 }
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<jupyter_start><jupyter_text>RequestsThe web contains a lot of information that LLMs do not have access to. In order to easily let LLMs interact with that information, we provide a wrapper around the Python Requests module that takes in a URL and fetches data from that URL.<jupyter_code>from langchain.agents import loa...
langchain/docs/docs/integrations/tools/requests.ipynb/0
{ "file_path": "langchain/docs/docs/integrations/tools/requests.ipynb", "repo_id": "langchain", "token_count": 408 }
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// 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/rootcoord/meta_table_test.go/0
{ "file_path": "milvus/internal/rootcoord/meta_table_test.go", "repo_id": "milvus", "token_count": 23569 }
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import functools import logging import re from pathlib import Path from typing import Any, Dict, List import yaml from langchain_core.documents import Document from langchain_community.document_loaders.base import BaseLoader logger = logging.getLogger(__name__) class ObsidianLoader(BaseLoader): """Load `Obsidi...
langchain/libs/community/langchain_community/document_loaders/obsidian.py/0
{ "file_path": "langchain/libs/community/langchain_community/document_loaders/obsidian.py", "repo_id": "langchain", "token_count": 2860 }
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# Copyright 2023 The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicabl...
transformers/tests/models/mistral/test_modeling_flax_mistral.py/0
{ "file_path": "transformers/tests/models/mistral/test_modeling_flax_mistral.py", "repo_id": "transformers", "token_count": 4641 }
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// 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/unittest/test_expr.cpp/0
{ "file_path": "milvus/internal/core/unittest/test_expr.cpp", "repo_id": "milvus", "token_count": 122785 }
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# MongoDB Atlas >[MongoDB Atlas](https://www.mongodb.com/docs/atlas/) is a fully-managed cloud > database available in AWS, Azure, and GCP. It now has support for native > Vector Search on the MongoDB document data. ## Installation and Setup See [detail configuration instructions](/docs/integrations/vectorstores/m...
langchain/docs/docs/integrations/providers/mongodb_atlas.mdx/0
{ "file_path": "langchain/docs/docs/integrations/providers/mongodb_atlas.mdx", "repo_id": "langchain", "token_count": 178 }
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<jupyter_start><jupyter_text>Alibaba Cloud OpenSearch>[Alibaba Cloud Opensearch](https://www.alibabacloud.com/product/opensearch) is a one-stop platform to develop intelligent search services. `OpenSearch` was built on the large-scale distributed search engine developed by `Alibaba`. `OpenSearch` serves more than 500 b...
langchain/docs/docs/integrations/vectorstores/alibabacloud_opensearch.ipynb/0
{ "file_path": "langchain/docs/docs/integrations/vectorstores/alibabacloud_opensearch.ipynb", "repo_id": "langchain", "token_count": 2404 }
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""" Adapted from https://github.com/maxfischer2781/asyncstdlib/blob/master/asyncstdlib/itertools.py MIT License """ from collections import deque from typing import ( Any, AsyncContextManager, AsyncGenerator, AsyncIterator, Awaitable, Callable, Deque, Generic, Iterator, List, ...
langchain/libs/core/langchain_core/utils/aiter.py/0
{ "file_path": "langchain/libs/core/langchain_core/utils/aiter.py", "repo_id": "langchain", "token_count": 2982 }
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# 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/donut/convert_donut_to_pytorch.py/0
{ "file_path": "transformers/src/transformers/models/donut/convert_donut_to_pytorch.py", "repo_id": "transformers", "token_count": 4042 }
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# 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/bit/convert_bit_to_pytorch.py/0
{ "file_path": "transformers/src/transformers/models/bit/convert_bit_to_pytorch.py", "repo_id": "transformers", "token_count": 2309 }
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# Copyright 2022 The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicabl...
accelerate/tests/deepspeed/test_deepspeed.py/0
{ "file_path": "accelerate/tests/deepspeed/test_deepspeed.py", "repo_id": "accelerate", "token_count": 25112 }
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# Tracing with Graphsignal [Graphsignal](https://graphsignal.com/) provides observability for AI agents and LLM-powered applications. It helps developers ensure AI applications run as expected and users have the best experience. Graphsignal **automatically** traces and monitors LlamaIndex. Traces and metrics provide ...
llama_index/docs/community/integrations/graphsignal.md/0
{ "file_path": "llama_index/docs/community/integrations/graphsignal.md", "repo_id": "llama_index", "token_count": 649 }
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<!--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/ko/multilingual.md/0
{ "file_path": "transformers/docs/source/ko/multilingual.md", "repo_id": "transformers", "token_count": 5628 }
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# Copyright 2023 The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicabl...
transformers/tests/models/bloom/test_modeling_flax_bloom.py/0
{ "file_path": "transformers/tests/models/bloom/test_modeling_flax_bloom.py", "repo_id": "transformers", "token_count": 4307 }
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<jupyter_start><jupyter_text>Chat Engine - Simple Mode REPL If you're opening this Notebook on colab, you will probably need to install LlamaIndex 🦙.<jupyter_code>%pip install llama-index-llms-openai !pip install llama-index<jupyter_output><empty_output><jupyter_text>Get started in 3 lines of code Using GPT3 ("text-da...
llama_index/docs/examples/chat_engine/chat_engine_repl.ipynb/0
{ "file_path": "llama_index/docs/examples/chat_engine/chat_engine_repl.ipynb", "repo_id": "llama_index", "token_count": 801 }
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[Unit] Description=Etcd of Milvus Standalone Server After=network.target syslog.target PartOf=milvus.service [Install] WantedBy=multi-user.target Alias=milvus-etcd.service [Service] StandardOutput=journal StandardError=inherit Restart=always # Start main service ExecStart=/usr/bin/milvus-etcd --data-dir /var/lib/mil...
milvus/build/deb/scripts/milvus-etcd.service/0
{ "file_path": "milvus/build/deb/scripts/milvus-etcd.service", "repo_id": "milvus", "token_count": 121 }
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# coding=utf-8 # Copyright 2022 Meta Platforms, 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...
transformers/src/transformers/models/mask2former/modeling_mask2former.py/0
{ "file_path": "transformers/src/transformers/models/mask2former/modeling_mask2former.py", "repo_id": "transformers", "token_count": 50679 }
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[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 = ["SemanticChunkingQueryEnginePack"] contains_example = false import_path = "llama_index.pac...
llama_index/llama-index-packs/llama-index-packs-node-parser-semantic-chunking/pyproject.toml/0
{ "file_path": "llama_index/llama-index-packs/llama-index-packs-node-parser-semantic-chunking/pyproject.toml", "repo_id": "llama_index", "token_count": 684 }
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# coding=utf-8 # Copyright 2021 The Open AI 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 # # http://www.apache.org/licenses/LICENSE-2.0 # # ...
transformers/src/transformers/models/clip/tokenization_clip.py/0
{ "file_path": "transformers/src/transformers/models/clip/tokenization_clip.py", "repo_id": "transformers", "token_count": 9519 }
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<!--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/bert-generation.md/0
{ "file_path": "transformers/docs/source/ja/model_doc/bert-generation.md", "repo_id": "transformers", "token_count": 1962 }
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# Reference: # https://opensearch.org/docs/latest/install-and-configure/install-opensearch/docker/#sample-docker-composeyml version: "3" services: opensearch: image: opensearchproject/opensearch:2.6.0 container_name: opensearch environment: - cluster.name=opensearch - node.name=opensearch ...
langchainjs/examples/src/indexes/vector_stores/opensearch/docker-compose.yml/0
{ "file_path": "langchainjs/examples/src/indexes/vector_stores/opensearch/docker-compose.yml", "repo_id": "langchainjs", "token_count": 584 }
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from langchain_community.document_transformers.openai_functions import ( OpenAIMetadataTagger, create_metadata_tagger, ) __all__ = ["OpenAIMetadataTagger", "create_metadata_tagger"]
langchain/libs/langchain/langchain/document_transformers/openai_functions.py/0
{ "file_path": "langchain/libs/langchain/langchain/document_transformers/openai_functions.py", "repo_id": "langchain", "token_count": 67 }
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import json from typing import Any, AsyncIterator, Iterator, Tuple import pytest from langchain_core.output_parsers.json import ( SimpleJsonOutputParser, parse_json_markdown, parse_partial_json, ) from langchain_core.pydantic_v1 import BaseModel from langchain_core.utils.function_calling import convert_to...
langchain/libs/core/tests/unit_tests/output_parsers/test_json.py/0
{ "file_path": "langchain/libs/core/tests/unit_tests/output_parsers/test_json.py", "repo_id": "langchain", "token_count": 6138 }
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# coding=utf-8 # Copyright 2022 The OpenAI Team Authors and HuggingFace Inc. team. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unles...
transformers/src/transformers/models/jukebox/configuration_jukebox.py/0
{ "file_path": "transformers/src/transformers/models/jukebox/configuration_jukebox.py", "repo_id": "transformers", "token_count": 11079 }
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import torch import torch.distributed from mamba_ssm.ops.triton.selective_state_update import selective_state_update from mamba_ssm.ops.selective_scan_interface import selective_scan_fn from torch import nn from typing import Optional, Tuple, Any from transformers.configuration_utils import PretrainedConfig import tor...
text-generation-inference/server/text_generation_server/models/custom_modeling/mamba_modeling.py/0
{ "file_path": "text-generation-inference/server/text_generation_server/models/custom_modeling/mamba_modeling.py", "repo_id": "text-generation-inference", "token_count": 3925 }
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#[cfg(feature = "mkl")] extern crate intel_mkl_src; #[cfg(feature = "accelerate")] extern crate accelerate_src; use candle_transformers::models::bert::{BertModel, Config, HiddenAct, DTYPE}; use anyhow::{Error as E, Result}; use candle::Tensor; use candle_nn::VarBuilder; use clap::Parser; use hf_hub::{api::sync::Api, ...
candle/candle-examples/examples/bert/main.rs/0
{ "file_path": "candle/candle-examples/examples/bert/main.rs", "repo_id": "candle", "token_count": 3527 }
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# coding=utf-8 # Copyright 2020 The HuggingFace Team All rights reserved. # Copyright 2021 NVIDIA Corporation. 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 # # htt...
transformers/examples/research_projects/quantization-qdqbert/trainer_quant_qa.py/0
{ "file_path": "transformers/examples/research_projects/quantization-qdqbert/trainer_quant_qa.py", "repo_id": "transformers", "token_count": 3717 }
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# rag-redis This template performs RAG using Redis (vector database) and OpenAI (LLM) on financial 10k filings docs for Nike. It relies on the sentence transformer `all-MiniLM-L6-v2` for embedding chunks of the pdf and user questions. ## Environment Setup Set the `OPENAI_API_KEY` environment variable to access the...
langchain/templates/rag-redis/README.md/0
{ "file_path": "langchain/templates/rag-redis/README.md", "repo_id": "langchain", "token_count": 1105 }
684
// 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/unittest/test_growing.cpp/0
{ "file_path": "milvus/internal/core/unittest/test_growing.cpp", "repo_id": "milvus", "token_count": 4717 }
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package datanode import ( "fmt" "sync" "github.com/samber/lo" "github.com/milvus-io/milvus-proto/go-api/v2/commonpb" "github.com/milvus-io/milvus-proto/go-api/v2/msgpb" "github.com/milvus-io/milvus/pkg/metrics" "github.com/milvus-io/milvus/pkg/mq/msgstream" "github.com/milvus-io/milvus/pkg/util/commonpbutil"...
milvus/internal/datanode/stats_updater.go/0
{ "file_path": "milvus/internal/datanode/stats_updater.go", "repo_id": "milvus", "token_count": 1172 }
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from langchain_community.llms.opaqueprompts import OpaquePrompts __all__ = ["OpaquePrompts"]
langchain/libs/langchain/langchain/llms/opaqueprompts.py/0
{ "file_path": "langchain/libs/langchain/langchain/llms/opaqueprompts.py", "repo_id": "langchain", "token_count": 35 }
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/** * Abstract class representing a transformer used for masking and rehydrating messages. */ export abstract class MaskingTransformer { abstract transform( message: string, state?: Map<string, string> ): Promise<[string, Map<string, string>]>; abstract rehydrate( message: string, state: Map<st...
langchainjs/langchain/src/experimental/masking/transformer.ts/0
{ "file_path": "langchainjs/langchain/src/experimental/masking/transformer.ts", "repo_id": "langchainjs", "token_count": 108 }
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from langchain_community.embeddings.huggingface import HuggingFaceInferenceAPIEmbeddings def test_hugginggface_inferenceapi_embedding_documents_init() -> None: """Test huggingface embeddings.""" embedding = HuggingFaceInferenceAPIEmbeddings(api_key="abcd123") assert "abcd123" not in repr(embedding)
langchain/libs/community/tests/unit_tests/embeddings/test_huggingface.py/0
{ "file_path": "langchain/libs/community/tests/unit_tests/embeddings/test_huggingface.py", "repo_id": "langchain", "token_count": 108 }
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from llama_index.core.base.llms.types import ( ChatMessage, ChatResponse, ChatResponseGen, MessageRole, ) from llama_index.core.types import TokenGen def response_gen_from_query_engine(response_gen: TokenGen) -> ChatResponseGen: response_str = "" for token in response_gen: response_str...
llama_index/llama-index-core/llama_index/core/chat_engine/utils.py/0
{ "file_path": "llama_index/llama-index-core/llama_index/core/chat_engine/utils.py", "repo_id": "llama_index", "token_count": 188 }
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// 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/datanode/cache.go/0
{ "file_path": "milvus/internal/datanode/cache.go", "repo_id": "milvus", "token_count": 570 }
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[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 = ["RemoteReader"] contains_example = false import_path = "llama_index.readers.remote" [tool...
llama_index/llama-index-integrations/readers/llama-index-readers-remote/pyproject.toml/0
{ "file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-remote/pyproject.toml", "repo_id": "llama_index", "token_count": 677 }
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<!--- 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 ...
transformers/docs/source/en/contributing.md/0
{ "file_path": "transformers/docs/source/en/contributing.md", "repo_id": "transformers", "token_count": 5137 }
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# DadJoke Loader This loader fetches a joke from icanhazdadjoke. ## Usage To use this loader, load it. ```python from llama_index import download_loader DadJokesReader = download_loader("DadJokesReader") loader = DadJokesReader() documents = loader.load_data() ``` This loader is designed to be used as a way to l...
llama_index/llama-index-integrations/readers/llama-index-readers-dad-jokes/README.md/0
{ "file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-dad-jokes/README.md", "repo_id": "llama_index", "token_count": 195 }
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# LlamaIndex Vector_Stores Integration: Neo4Jvector
llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-neo4jvector/README.md/0
{ "file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-neo4jvector/README.md", "repo_id": "llama_index", "token_count": 15 }
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package httpserver type CreateCollectionReq struct { DbName string `json:"dbName"` CollectionName string `json:"collectionName" validate:"required"` Dimension int32 `json:"dimension" validate:"required"` Description string `json:"description"` MetricType string `json:"metr...
milvus/internal/distributed/proxy/httpserver/request.go/0
{ "file_path": "milvus/internal/distributed/proxy/httpserver/request.go", "repo_id": "milvus", "token_count": 1259 }
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import { Client, TextChannel, GatewayIntentBits, Message, ChannelType, } from "discord.js"; import { getEnvironmentVariable } from "@langchain/core/utils/env"; import { Tool } from "@langchain/core/tools"; /** * Base tool parameters for the Discord tools */ interface DiscordToolParams { botToken?: string...
langchainjs/libs/langchain-community/src/tools/discord.ts/0
{ "file_path": "langchainjs/libs/langchain-community/src/tools/discord.ts", "repo_id": "langchainjs", "token_count": 3901 }
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<!--Copyright 2020 The HuggingFace Team. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed...
transformers/docs/source/en/model_doc/blenderbot-small.md/0
{ "file_path": "transformers/docs/source/en/model_doc/blenderbot-small.md", "repo_id": "transformers", "token_count": 1170 }
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python_sources()
llama_index/llama-index-packs/llama-index-packs-zephyr-query-engine/llama_index/packs/zephyr_query_engine/BUILD/0
{ "file_path": "llama_index/llama-index-packs/llama-index-packs-zephyr-query-engine/llama_index/packs/zephyr_query_engine/BUILD", "repo_id": "llama_index", "token_count": 6 }
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# coding=utf-8 # Copyright 2021 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/perceiver/tokenization_perceiver.py/0
{ "file_path": "transformers/src/transformers/models/perceiver/tokenization_perceiver.py", "repo_id": "transformers", "token_count": 3437 }
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python_tests()
llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-dashvector/tests/BUILD/0
{ "file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-dashvector/tests/BUILD", "repo_id": "llama_index", "token_count": 5 }
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#!/usr/bin/env python """An example that uses Fast API global dependencies. This approach can be used if the same authentication logic can be used for all endpoints in the application. This may be a reasonable approach for simple applications. See: * https://fastapi.tiangolo.com/tutorial/dependencies/global-depende...
langserve/examples/auth/global_deps/server.py/0
{ "file_path": "langserve/examples/auth/global_deps/server.py", "repo_id": "langserve", "token_count": 425 }
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