text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
// 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/task.go/0 | {
"file_path": "milvus/internal/rootcoord/task.go",
"repo_id": "milvus",
"token_count": 771
} | 1,788 |
<jupyter_start><jupyter_text>Multi-Agent Simulated Environment: Petting ZooIn this example, we show how to define multi-agent simulations with simulated environments. Like [ours single-agent example with Gymnasium](https://python.langchain.com/en/latest/use_cases/agent_simulations/gymnasium.html), we create an agent-en... | langchain/cookbook/petting_zoo.ipynb/0 | {
"file_path": "langchain/cookbook/petting_zoo.ipynb",
"repo_id": "langchain",
"token_count": 4304
} | 81 |
# ruff: noqa: E402
"""Main entrypoint into package."""
import warnings
from importlib import metadata
from typing import Any, Optional
from langchain_core._api.deprecation import surface_langchain_deprecation_warnings
try:
__version__ = metadata.version(__package__)
except metadata.PackageNotFoundError:
# Cas... | langchain/libs/langchain/langchain/__init__.py/0 | {
"file_path": "langchain/libs/langchain/langchain/__init__.py",
"repo_id": "langchain",
"token_count": 5443
} | 461 |
python_tests()
| llama_index/llama-index-integrations/readers/llama-index-readers-azcognitive-search/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-azcognitive-search/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,340 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/core/src/common/Array.h/0 | {
"file_path": "milvus/internal/core/src/common/Array.h",
"repo_id": "milvus",
"token_count": 12829
} | 1,730 |
import type { BaseLanguageModelInterface } from "@langchain/core/language_models/base";
import { ChainValues } from "@langchain/core/utils/types";
import { BasePromptTemplate } from "@langchain/core/prompts";
import { CallbackManagerForChainRun } from "@langchain/core/callbacks/manager";
import { LLMChain } from "../..... | langchainjs/langchain/src/chains/router/llm_router.ts/0 | {
"file_path": "langchainjs/langchain/src/chains/router/llm_router.ts",
"repo_id": "langchainjs",
"token_count": 751
} | 930 |
# LlamaIndex Callbacks Integration: PromptLayer
| llama_index/llama-index-integrations/callbacks/llama-index-callbacks-promptlayer/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/callbacks/llama-index-callbacks-promptlayer/README.md",
"repo_id": "llama_index",
"token_count": 11
} | 1,184 |
from llama_index.core.readers.base import BaseReader
from llama_index.readers.make_com import MakeWrapper
def test_class():
names_of_base_classes = [b.__name__ for b in MakeWrapper.__mro__]
assert BaseReader.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/readers/llama-index-readers-make-com/tests/test_readers_make_com.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-make-com/tests/test_readers_make_com.py",
"repo_id": "llama_index",
"token_count": 89
} | 1,475 |
python_sources()
| llama_index/llama-index-legacy/llama_index/legacy/readers/chatgpt_plugin/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/readers/chatgpt_plugin/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,591 |
#!/usr/bin/env python
# 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... | transformers/examples/legacy/seq2seq/convert_model_to_fp16.py/0 | {
"file_path": "transformers/examples/legacy/seq2seq/convert_model_to_fp16.py",
"repo_id": "transformers",
"token_count": 450
} | 517 |
import { ChatOpenAI } from "@langchain/openai";
import { StringOutputParser } from "@langchain/core/output_parsers";
import { RunnableSequence } from "@langchain/core/runnables";
const chain = RunnableSequence.from([
new ChatOpenAI({ temperature: 0 }),
new StringOutputParser(),
]);
const stream = await chain.stre... | langchainjs/examples/src/prompts/string_output_parser_sequence.ts/0 | {
"file_path": "langchainjs/examples/src/prompts/string_output_parser_sequence.ts",
"repo_id": "langchainjs",
"token_count": 125
} | 845 |
<!--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/en/model_doc/vit_msn.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/vit_msn.md",
"repo_id": "transformers",
"token_count": 1191
} | 505 |
python_sources()
| llama_index/llama-index-packs/llama-index-packs-panel-chatbot/llama_index/packs/panel_chatbot/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-panel-chatbot/llama_index/packs/panel_chatbot/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,806 |
"""SceneXplain API toolkit."""
| langchain/libs/langchain/langchain/tools/scenexplain/__init__.py/0 | {
"file_path": "langchain/libs/langchain/langchain/tools/scenexplain/__init__.py",
"repo_id": "langchain",
"token_count": 10
} | 585 |
// 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/flush_task_counter.go/0 | {
"file_path": "milvus/internal/datanode/flush_task_counter.go",
"repo_id": "milvus",
"token_count": 683
} | 1,972 |
"""Fake Chat Model wrapper for testing purposes."""
from typing import Any, Dict, List, Optional
from langchain_core.callbacks import (
AsyncCallbackManagerForLLMRun,
CallbackManagerForLLMRun,
)
from langchain_core.language_models.chat_models import SimpleChatModel
from langchain_core.messages import AIMessage... | langchain/libs/community/tests/unit_tests/llms/fake_chat_model.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/llms/fake_chat_model.py",
"repo_id": "langchain",
"token_count": 502
} | 407 |
#!/usr/bin/env python
"""Example LangChain server exposes a retriever."""
from fastapi import FastAPI
from langchain.embeddings import OpenAIEmbeddings
from langchain.vectorstores import FAISS
from langserve import add_routes
vectorstore = FAISS.from_texts(
["cats like fish", "dogs like sticks"], embedding=OpenAI... | langserve/examples/retrieval/server.py/0 | {
"file_path": "langserve/examples/retrieval/server.py",
"repo_id": "langserve",
"token_count": 248
} | 1,044 |
package syncmgr
import (
"context"
"math/rand"
"strconv"
"testing"
"time"
"github.com/samber/lo"
"github.com/stretchr/testify/mock"
"github.com/stretchr/testify/suite"
"go.uber.org/atomic"
"github.com/milvus-io/milvus-proto/go-api/v2/commonpb"
"github.com/milvus-io/milvus-proto/go-api/v2/msgpb"
"github.c... | milvus/internal/datanode/syncmgr/sync_manager_test.go/0 | {
"file_path": "milvus/internal/datanode/syncmgr/sync_manager_test.go",
"repo_id": "milvus",
"token_count": 3909
} | 1,782 |
<jupyter_start><jupyter_text>Ensemble Retrieval GuideOftentimes when building a RAG applications there are many retreival parameters/strategies to decide from (from chunk size to vector vs. keyword vs. hybrid search, for instance).Thought: what if we could try a bunch of strategies at once, and have any AI/reranker/LLM... | llama_index/docs/examples/retrievers/ensemble_retrieval.ipynb/0 | {
"file_path": "llama_index/docs/examples/retrievers/ensemble_retrieval.ipynb",
"repo_id": "llama_index",
"token_count": 4190
} | 1,079 |
python_tests()
| llama_index/llama-index-integrations/readers/llama-index-readers-kaltura/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-kaltura/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,388 |
import logging
from typing import AsyncIterator, Optional, Sequence, Union
import orjson
from langchain_core.messages import (
AIMessage,
AIMessageChunk,
AnyMessage,
BaseMessage,
BaseMessageChunk,
ChatMessage,
ChatMessageChunk,
FunctionMessage,
FunctionMessageChunk,
HumanMessage... | opengpts/backend/app/stream.py/0 | {
"file_path": "opengpts/backend/app/stream.py",
"repo_id": "opengpts",
"token_count": 2141
} | 1,995 |
<jupyter_start><jupyter_text>Résumé (PyTorch) Installez les bibliothèques 🤗 *Datasets* et 🤗 *Transformers* pour exécuter ce *notebook*.<jupyter_code>!pip install datasets transformers[sentencepiece]
!pip install accelerate
# Pour exécuter l'entraînement sur TPU, vous devez décommenter la ligne suivante :
# !pip insta... | notebooks/course/fr/chapter7/section5_pt.ipynb/0 | {
"file_path": "notebooks/course/fr/chapter7/section5_pt.ipynb",
"repo_id": "notebooks",
"token_count": 4623
} | 292 |
# NASNet
**NASNet** is a type of convolutional neural network discovered through neural architecture search. The building blocks consist of normal and reduction cells.
{% include 'code_snippets.md' %}
## How do I train this model?
You can follow the [timm recipe scripts](https://rwightman.github.io/pytorch-image-mo... | pytorch-image-models/docs/models/.templates/models/nasnet.md/0 | {
"file_path": "pytorch-image-models/docs/models/.templates/models/nasnet.md",
"repo_id": "pytorch-image-models",
"token_count": 730
} | 331 |
# coding=utf-8
# Copyright 2020 The Trax 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/reformer/tokenization_reformer_fast.py/0 | {
"file_path": "transformers/src/transformers/models/reformer/tokenization_reformer_fast.py",
"repo_id": "transformers",
"token_count": 1954
} | 722 |
# coding=utf-8
# Copyright 2021 The Fairseq Authors, Microsoft Research, 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... | transformers/src/transformers/models/wavlm/configuration_wavlm.py/0 | {
"file_path": "transformers/src/transformers/models/wavlm/configuration_wavlm.py",
"repo_id": "transformers",
"token_count": 7367
} | 675 |
# 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... | transformers/src/transformers/models/realm/__init__.py/0 | {
"file_path": "transformers/src/transformers/models/realm/__init__.py",
"repo_id": "transformers",
"token_count": 1040
} | 649 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/pkg/config/event_dispatcher_test.go/0 | {
"file_path": "milvus/pkg/config/event_dispatcher_test.go",
"repo_id": "milvus",
"token_count": 1604
} | 1,815 |
python_sources()
| llama_index/llama-index-integrations/tools/llama-index-tools-python-file/llama_index/tools/python_file/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-python-file/llama_index/tools/python_file/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,494 |
# coding=utf-8
# Copyright 2020 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | transformers/src/transformers/models/tapas/convert_tapas_original_tf_checkpoint_to_pytorch.py/0 | {
"file_path": "transformers/src/transformers/models/tapas/convert_tapas_original_tf_checkpoint_to_pytorch.py",
"repo_id": "transformers",
"token_count": 1935
} | 738 |
search_performance:
collections:
# sift_1b
-
server:
db_config.primary_path: /test/milvus/db_data_gpu/sift_1b_2048_128_l2_sq8
cache_config.cpu_cache_capacity: 150
engine_config.use_blas_threshold: 1100
engine_config.gpu_search_threshold: 200
gpu_resource_config.... | milvus/tests/benchmark/milvus_benchmark/suites/cpu_search_performance_sift1b.yaml/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/suites/cpu_search_performance_sift1b.yaml",
"repo_id": "milvus",
"token_count": 350
} | 2,007 |
// 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/create_collection_task.go/0 | {
"file_path": "milvus/internal/rootcoord/create_collection_task.go",
"repo_id": "milvus",
"token_count": 7172
} | 1,880 |
<jupyter_start><jupyter_text>Llama API [Llama API](https://www.llama-api.com/) is a hosted API for Llama 2 with function calling support. Setup To start, go to https://www.llama-api.com/ to obtain an API key If you're opening this Notebook on colab, you will probably need to install LlamaIndex 🦙.<jupyter_code>%pip in... | llama_index/docs/examples/llm/llama_api.ipynb/0 | {
"file_path": "llama_index/docs/examples/llm/llama_api.ipynb",
"repo_id": "llama_index",
"token_count": 1353
} | 1,194 |
<jupyter_start><jupyter_text>EmailThis notebook shows how to load email (`.eml`) or `Microsoft Outlook` (`.msg`) files. Using Unstructured<jupyter_code>%pip install --upgrade --quiet unstructured
from langchain_community.document_loaders import UnstructuredEmailLoader
loader = UnstructuredEmailLoader("example_data/fa... | langchain/docs/docs/integrations/document_loaders/email.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/document_loaders/email.ipynb",
"repo_id": "langchain",
"token_count": 483
} | 111 |
# coding=utf-8
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | diffusers/examples/kandinsky2_2/text_to_image/train_text_to_image_lora_decoder.py/0 | {
"file_path": "diffusers/examples/kandinsky2_2/text_to_image/train_text_to_image_lora_decoder.py",
"repo_id": "diffusers",
"token_count": 14871
} | 217 |
"""Gmail tools."""
from langchain_community.tools.gmail.create_draft import GmailCreateDraft
from langchain_community.tools.gmail.get_message import GmailGetMessage
from langchain_community.tools.gmail.get_thread import GmailGetThread
from langchain_community.tools.gmail.search import GmailSearch
from langchain_commun... | langchain/libs/langchain/langchain/tools/gmail/__init__.py/0 | {
"file_path": "langchain/libs/langchain/langchain/tools/gmail/__init__.py",
"repo_id": "langchain",
"token_count": 153
} | 559 |
"""Knowledge Graph Index.
Build a KG by extracting triplets, and leveraging the KG during query-time.
"""
import logging
from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple
from llama_index.core.base.base_retriever import BaseRetriever
from llama_index.core.base.embeddings.base import BaseEmbedd... | llama_index/llama-index-core/llama_index/core/indices/knowledge_graph/base.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/indices/knowledge_graph/base.py",
"repo_id": "llama_index",
"token_count": 6481
} | 1,217 |
from langchain_community.document_loaders.async_html import (
AsyncHtmlLoader,
)
__all__ = ["AsyncHtmlLoader"]
| langchain/libs/langchain/langchain/document_loaders/async_html.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/async_html.py",
"repo_id": "langchain",
"token_count": 42
} | 484 |
package metautil
import (
"path"
"strconv"
"strings"
"github.com/milvus-io/milvus/pkg/common"
"github.com/milvus-io/milvus/pkg/util/typeutil"
)
const pathSep = "/"
func BuildInsertLogPath(rootPath string, collectionID, partitionID, segmentID, fieldID, logID typeutil.UniqueID) string {
k := JoinIDPath(collecti... | milvus/pkg/util/metautil/binlog.go/0 | {
"file_path": "milvus/pkg/util/metautil/binlog.go",
"repo_id": "milvus",
"token_count": 631
} | 1,845 |
kind: StressChaos
apiVersion: chaos-mesh.org/v1alpha1
metadata:
name: test-datanode-memory-stress
namespace: chaos-testing
spec:
selector:
namespaces:
- chaos-testing
labelSelectors:
app.kubernetes.io/name: milvus
app.kubernetes.io/instance: mic-memory
app.kubernetes.io/component: ... | milvus/tests/python_client/chaos/chaos_objects/memory_stress/chaos_datanode_memory_stress.yaml/0 | {
"file_path": "milvus/tests/python_client/chaos/chaos_objects/memory_stress/chaos_datanode_memory_stress.yaml",
"repo_id": "milvus",
"token_count": 170
} | 1,894 |
"""Tests for correct functioning of callbacks."""
| langchain/libs/community/tests/unit_tests/callbacks/__init__.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/callbacks/__init__.py",
"repo_id": "langchain",
"token_count": 12
} | 360 |
<jupyter_start><jupyter_text>Scoring EvaluatorThe Scoring Evaluator instructs a language model to assess your model's predictions on a specified scale (default is 1-10) based on your custom criteria or rubric. This feature provides a nuanced evaluation instead of a simplistic binary score, aiding in evaluating models a... | langchain/docs/docs/guides/evaluation/string/scoring_eval_chain.ipynb/0 | {
"file_path": "langchain/docs/docs/guides/evaluation/string/scoring_eval_chain.ipynb",
"repo_id": "langchain",
"token_count": 1844
} | 94 |
"""Test transform chain."""
from typing import Dict
import pytest
from langchain.chains.transform import TransformChain
def dummy_transform(inputs: Dict[str, str]) -> Dict[str, str]:
"""Transform a dummy input for tests."""
outputs = inputs
outputs["greeting"] = f"{inputs['first_name']} {inputs['last_na... | langchain/libs/langchain/tests/unit_tests/chains/test_transform.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/chains/test_transform.py",
"repo_id": "langchain",
"token_count": 461
} | 601 |
"""Test Clarifai vector store functionality."""
import time
from langchain_core.documents import Document
from langchain_community.vectorstores import Clarifai
def test_clarifai_with_from_texts() -> None:
"""Test end to end construction and search."""
texts = ["foo", "bar", "baz"]
USER_ID = "minhajul"
... | langchain/libs/community/tests/integration_tests/vectorstores/test_clarifai.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/vectorstores/test_clarifai.py",
"repo_id": "langchain",
"token_count": 1204
} | 354 |
""" TanH Scheduler
TanH schedule with warmup, cycle/restarts, noise.
Hacked together by / Copyright 2021 Ross Wightman
"""
import logging
import math
import numpy as np
import torch
from .scheduler import Scheduler
_logger = logging.getLogger(__name__)
class TanhLRScheduler(Scheduler):
"""
Hyberbolic-Tan... | pytorch-image-models/timm/scheduler/tanh_lr.py/0 | {
"file_path": "pytorch-image-models/timm/scheduler/tanh_lr.py",
"repo_id": "pytorch-image-models",
"token_count": 1960
} | 374 |
---
sidebar_position: 4
---
# Large databases
In order to write valid queries against a database, we need to feed the model the table names, table schemas, and feature values for it to query over.
When there are many tables, columns, and/or high-cardinality columns, it becomes impossible for us to dump the full infor... | langchainjs/docs/core_docs/docs/use_cases/sql/large_db.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/use_cases/sql/large_db.mdx",
"repo_id": "langchainjs",
"token_count": 1069
} | 744 |
from __future__ import annotations
from enum import Enum
from os import getenv
from time import sleep
from types import ModuleType
from typing import Any, List, Type, TypeVar
import rockset
from llama_index.core.schema import BaseNode
from llama_index.core.vector_stores.types import (
VectorStore,
VectorStore... | llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-rocksetdb/llama_index/vector_stores/rocksetdb/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-rocksetdb/llama_index/vector_stores/rocksetdb/base.py",
"repo_id": "llama_index",
"token_count": 5891
} | 1,570 |
"use node";
import { TextLoader } from "langchain/document_loaders/fs/text";
import { CacheBackedEmbeddings } from "langchain/embeddings/cache_backed";
import { OpenAIEmbeddings } from "@langchain/openai";
import { ConvexKVStore } from "@langchain/community/storage/convex";
import { RecursiveCharacterTextSplitter } fr... | langchainjs/examples/src/embeddings/convex/cache_backed_convex.ts/0 | {
"file_path": "langchainjs/examples/src/embeddings/convex/cache_backed_convex.ts",
"repo_id": "langchainjs",
"token_count": 633
} | 834 |
# coding=utf-8
# Copyright 2024 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... | diffusers/scripts/convert_ncsnpp_original_checkpoint_to_diffusers.py/0 | {
"file_path": "diffusers/scripts/convert_ncsnpp_original_checkpoint_to_diffusers.py",
"repo_id": "diffusers",
"token_count": 3607
} | 205 |
# 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/image_transforms.py/0 | {
"file_path": "transformers/src/transformers/image_transforms.py",
"repo_id": "transformers",
"token_count": 13239
} | 573 |
pub(crate) mod config;
mod distributed_hnsw_segment;
mod segment_ingestor;
mod segment_manager;
pub(crate) use segment_ingestor::*;
pub(crate) use segment_manager::*;
| chroma/rust/worker/src/segment/mod.rs/0 | {
"file_path": "chroma/rust/worker/src/segment/mod.rs",
"repo_id": "chroma",
"token_count": 62
} | 59 |
# Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | transformers/tests/pipelines/test_pipelines_text_generation.py/0 | {
"file_path": "transformers/tests/pipelines/test_pipelines_text_generation.py",
"repo_id": "transformers",
"token_count": 7393
} | 840 |
Author: [@vasudevgupta7](https://github.com/thevasudevgupta/)
## Intro
In this project, we fine-tuned [**BigBird**](https://arxiv.org/abs/2007.14062) on [**natural-questions**](https://huggingface.co/datasets/natural_questions) dataset for **question-answering** task on long documents. **BigBird**, is a **sparse-att... | transformers/examples/research_projects/jax-projects/big_bird/README.md/0 | {
"file_path": "transformers/examples/research_projects/jax-projects/big_bird/README.md",
"repo_id": "transformers",
"token_count": 824
} | 563 |
<!--Copyright 2022 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/es/create_a_model.md/0 | {
"file_path": "transformers/docs/source/es/create_a_model.md",
"repo_id": "transformers",
"token_count": 6185
} | 504 |
#!/usr/bin/env bash
export PYTHONPATH="../":"${PYTHONPATH}"
python finetune.py \
--learning_rate=3e-5 \
--fp16 \
--do_train \
--val_check_interval=0.25 \
--adam_eps 1e-06 \
--num_train_epochs 6 --src_lang en_XX --tgt_lang ro_RO \
--data_dir $ENRO_DIR \
--max_source_length $MAX_LEN --max... | transformers/examples/research_projects/seq2seq-distillation/train_mbart_cc25_enro.sh/0 | {
"file_path": "transformers/examples/research_projects/seq2seq-distillation/train_mbart_cc25_enro.sh",
"repo_id": "transformers",
"token_count": 273
} | 555 |
// Utility for marking only some keys of an interface as optional
// Compare to Partial<T> which marks all keys as optional
export type Optional<T, K extends keyof T> = Omit<T, K> & Partial<Pick<T, K>>;
| langchainjs/langchain/src/types/type-utils.ts/0 | {
"file_path": "langchainjs/langchain/src/types/type-utils.ts",
"repo_id": "langchainjs",
"token_count": 58
} | 998 |
<jupyter_start><jupyter_text>HuggingFace LLM - Camel-5b If you're opening this Notebook on colab, you will probably need to install LlamaIndex 🦙.<jupyter_code>%pip install llama-index-llms-huggingface
!pip install llama-index
import logging
import sys
logging.basicConfig(stream=sys.stdout, level=logging.INFO)
logging... | llama_index/docs/examples/customization/llms/SimpleIndexDemo-Huggingface_camel.ipynb/0 | {
"file_path": "llama_index/docs/examples/customization/llms/SimpleIndexDemo-Huggingface_camel.ipynb",
"repo_id": "llama_index",
"token_count": 1227
} | 1,092 |
// 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/broker_test.go/0 | {
"file_path": "milvus/internal/rootcoord/broker_test.go",
"repo_id": "milvus",
"token_count": 4561
} | 1,776 |
from langchain_community.llms.openlm import OpenLM
def test_openlm_call() -> None:
"""Test valid call to openlm."""
llm = OpenLM(model_name="dolly-v2-7b", max_tokens=10)
output = llm(prompt="Say foo:")
assert isinstance(output, str)
| langchain/libs/community/tests/integration_tests/llms/test_openlm.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/llms/test_openlm.py",
"repo_id": "langchain",
"token_count": 103
} | 343 |
from langchain_community.document_loaders.psychic import PsychicLoader
__all__ = ["PsychicLoader"]
| langchain/libs/langchain/langchain/document_loaders/psychic.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/psychic.py",
"repo_id": "langchain",
"token_count": 28
} | 498 |
from langchain_community.tools.multion.create_session import (
CreateSessionSchema,
MultionCreateSession,
)
__all__ = ["CreateSessionSchema", "MultionCreateSession"]
| langchain/libs/langchain/langchain/tools/multion/create_session.py/0 | {
"file_path": "langchain/libs/langchain/langchain/tools/multion/create_session.py",
"repo_id": "langchain",
"token_count": 55
} | 581 |
""" Filter Response Norm in PyTorch
Based on `Filter Response Normalization Layer` - https://arxiv.org/abs/1911.09737
Hacked together by / Copyright 2021 Ross Wightman
"""
import torch
import torch.nn as nn
from .create_act import create_act_layer
from .trace_utils import _assert
def inv_instance_rms(x, eps: float... | pytorch-image-models/timm/layers/filter_response_norm.py/0 | {
"file_path": "pytorch-image-models/timm/layers/filter_response_norm.py",
"repo_id": "pytorch-image-models",
"token_count": 1182
} | 388 |
from typing import Any, Sequence
from llama_index.legacy.prompts.mixin import PromptDictType
from llama_index.legacy.response_synthesizers.base import BaseSynthesizer
from llama_index.legacy.types import RESPONSE_TEXT_TYPE
class NoText(BaseSynthesizer):
def _get_prompts(self) -> PromptDictType:
"""Get pr... | llama_index/llama-index-legacy/llama_index/legacy/response_synthesizers/no_text.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/response_synthesizers/no_text.py",
"repo_id": "llama_index",
"token_count": 346
} | 1,598 |
from langchain_community.tools.google_finance.tool import GoogleFinanceQueryRun
__all__ = ["GoogleFinanceQueryRun"]
| langchain/libs/langchain/langchain/tools/google_finance/tool.py/0 | {
"file_path": "langchain/libs/langchain/langchain/tools/google_finance/tool.py",
"repo_id": "langchain",
"token_count": 34
} | 589 |
from typing import Callable, List, Optional, Union
from llama_index.legacy.bridge.pydantic import Field
from llama_index.legacy.callbacks import CallbackManager
from llama_index.legacy.core.embeddings.base import (
DEFAULT_EMBED_BATCH_SIZE,
BaseEmbedding,
Embedding,
)
from llama_index.legacy.embeddings.hug... | llama_index/llama-index-legacy/llama_index/legacy/embeddings/text_embeddings_inference.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/embeddings/text_embeddings_inference.py",
"repo_id": "llama_index",
"token_count": 2356
} | 1,703 |
from langchain_core.agents import AgentAction
from langchain.agents.format_scratchpad.xml import format_xml
def test_single_agent_action_observation() -> None:
# Arrange
agent_action = AgentAction(tool="Tool1", tool_input="Input1", log="Log1")
observation = "Observation1"
intermediate_steps = [(agent... | langchain/libs/langchain/tests/unit_tests/agents/format_scratchpad/test_xml.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/agents/format_scratchpad/test_xml.py",
"repo_id": "langchain",
"token_count": 473
} | 629 |
"""FlyteKit callback handler."""
from __future__ import annotations
import logging
from copy import deepcopy
from typing import TYPE_CHECKING, Any, Dict, List, Tuple
from langchain_core.agents import AgentAction, AgentFinish
from langchain_core.callbacks import BaseCallbackHandler
from langchain_core.outputs import L... | langchain/libs/community/langchain_community/callbacks/flyte_callback.py/0 | {
"file_path": "langchain/libs/community/langchain_community/callbacks/flyte_callback.py",
"repo_id": "langchain",
"token_count": 6229
} | 227 |
# 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... | transformers/tests/repo_utils/test_tests_fetcher.py/0 | {
"file_path": "transformers/tests/repo_utils/test_tests_fetcher.py",
"repo_id": "transformers",
"token_count": 18132
} | 843 |
## init file
from llama_index.tools.openai.image_generation.base import (
OpenAIImageGenerationToolSpec,
)
__all__ = ["OpenAIImageGenerationToolSpec"]
| llama_index/llama-index-integrations/tools/llama-index-tools-openai/llama_index/tools/openai/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-openai/llama_index/tools/openai/__init__.py",
"repo_id": "llama_index",
"token_count": 52
} | 1,492 |
import collections
import types
import numpy as np
from ..utils import (
add_end_docstrings,
is_tensorflow_probability_available,
is_tf_available,
is_torch_available,
requires_backends,
)
from .base import ArgumentHandler, Dataset, Pipeline, PipelineException, build_pipeline_init_args
if is_torc... | transformers/src/transformers/pipelines/table_question_answering.py/0 | {
"file_path": "transformers/src/transformers/pipelines/table_question_answering.py",
"repo_id": "transformers",
"token_count": 9202
} | 763 |
import os
from pathlib import Path
from langchain_community.document_loaders import UnstructuredXMLLoader
EXAMPLE_DIRECTORY = file_path = Path(__file__).parent.parent / "examples"
def test_unstructured_xml_loader() -> None:
"""Test unstructured loader."""
file_path = os.path.join(EXAMPLE_DIRECTORY, "factboo... | langchain/libs/community/tests/integration_tests/document_loaders/test_xml.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/document_loaders/test_xml.py",
"repo_id": "langchain",
"token_count": 154
} | 346 |
# flake8: noqa
from langchain_core.documents import Document
from langchain_community.vectorstores.vearch import Vearch
from tests.integration_tests.vectorstores.fake_embeddings import FakeEmbeddings
def test_vearch() -> None:
"""
Test end to end create vearch ,store vector into it and search
"""
tex... | langchain/libs/community/tests/integration_tests/vectorstores/test_vearch.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/vectorstores/test_vearch.py",
"repo_id": "langchain",
"token_count": 2276
} | 361 |
python_tests()
| llama_index/llama-index-packs/llama-index-packs-agents-llm-compiler/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-agents-llm-compiler/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,572 |
import { MomentoVectorIndex } from "@langchain/community/vectorstores/momento_vector_index";
// For browser/edge, adjust this to import from "@gomomento/sdk-web";
import {
PreviewVectorIndexClient,
VectorIndexConfigurations,
CredentialProvider,
} from "@gomomento/sdk";
import { OpenAIEmbeddings } from "@langchain... | langchainjs/examples/src/indexes/vector_stores/momento_vector_index/fromExisting.ts/0 | {
"file_path": "langchainjs/examples/src/indexes/vector_stores/momento_vector_index/fromExisting.ts",
"repo_id": "langchainjs",
"token_count": 296
} | 829 |
// 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/pkg/util/paramtable/base_table_test.go/0 | {
"file_path": "milvus/pkg/util/paramtable/base_table_test.go",
"repo_id": "milvus",
"token_count": 1434
} | 1,921 |
export * from "@langchain/core/runnables/remote";
| langchainjs/langchain/src/runnables/remote.ts/0 | {
"file_path": "langchainjs/langchain/src/runnables/remote.ts",
"repo_id": "langchainjs",
"token_count": 16
} | 947 |
pub(crate) mod config;
mod ingest;
mod message_id;
mod scheduler;
// Re-export the ingest provider for use in the worker
pub(crate) use ingest::*;
pub(crate) use scheduler::*;
| chroma/rust/worker/src/ingest/mod.rs/0 | {
"file_path": "chroma/rust/worker/src/ingest/mod.rs",
"repo_id": "chroma",
"token_count": 61
} | 58 |
"""Apify Actor reader."""
from typing import Callable, Dict, List, Optional
from llama_index.core.readers.base import BaseReader
from llama_index.core.schema import Document
from llama_index.readers.apify.dataset.base import ApifyDataset
class ApifyActor(BaseReader):
"""Apify Actor reader.
Calls an Actor on... | llama_index/llama-index-integrations/readers/llama-index-readers-apify/llama_index/readers/apify/actor/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-apify/llama_index/readers/apify/actor/base.py",
"repo_id": "llama_index",
"token_count": 913
} | 1,331 |
# Copyright 2020 The HuggingFace Datasets Authors.
#
# 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 ... | datasets/metrics/seqeval/seqeval.py/0 | {
"file_path": "datasets/metrics/seqeval/seqeval.py",
"repo_id": "datasets",
"token_count": 2504
} | 135 |
"""Init file."""
from llama_index.core.query_engine.pandas.output_parser import (
PandasInstructionParser,
)
from llama_index.core.query_engine.pandas.pandas_query_engine import (
PandasQueryEngine,
)
__all__ = ["PandasInstructionParser", "PandasQueryEngine"]
| llama_index/llama-index-core/llama_index/core/query_engine/pandas/__init__.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/query_engine/pandas/__init__.py",
"repo_id": "llama_index",
"token_count": 97
} | 1,198 |
<jupyter_start><jupyter_text>AZLyrics>[AZLyrics](https://www.azlyrics.com/) is a large, legal, every day growing collection of lyrics.This covers how to load AZLyrics webpages into a document format that we can use downstream.<jupyter_code>from langchain_community.document_loaders import AZLyricsLoader
loader = AZLyric... | langchain/docs/docs/integrations/document_loaders/azlyrics.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/document_loaders/azlyrics.ipynb",
"repo_id": "langchain",
"token_count": 140
} | 94 |
"""Tests for the Google Cloud DocAI parser."""
from unittest.mock import MagicMock, patch
import pytest
from langchain_community.document_loaders.parsers import (
AzureAIDocumentIntelligenceParser,
)
@pytest.mark.requires("azure", "azure.ai", "azure.ai.documentintelligence")
@patch("azure.ai.documentintelligenc... | langchain/libs/community/tests/unit_tests/document_loaders/parsers/test_doc_intelligence.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/document_loaders/parsers/test_doc_intelligence.py",
"repo_id": "langchain",
"token_count": 350
} | 372 |
<jupyter_start><jupyter_text>Titan Takeoff Pro`TitanML` helps businesses build and deploy better, smaller, cheaper, and faster NLP models through our training, compression, and inference optimization platform.>Note: These docs are for the Pro version of Titan Takeoff. For the community version, see the page for Titan T... | langchain/docs/docs/integrations/llms/titan_takeoff_pro.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/llms/titan_takeoff_pro.ipynb",
"repo_id": "langchain",
"token_count": 664
} | 133 |
[tool.poetry]
name = "chain-of-note-wiki"
version = "0.0.1"
description = "Implementation of Chain of Note prompting for Wikipedia."
authors = []
readme = "README.md"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
langchain = "^0.1"
anthropic = "^0.7.0"
wikipedia = "^1.4.0"
langchainhub = "^0.1.14"
[tool.poetry.g... | langchain/templates/chain-of-note-wiki/pyproject.toml/0 | {
"file_path": "langchain/templates/chain-of-note-wiki/pyproject.toml",
"repo_id": "langchain",
"token_count": 308
} | 668 |
from llama_index.tools.exa.base import ExaToolSpec
__all__ = ["ExaToolSpec"]
| llama_index/llama-index-integrations/tools/llama-index-tools-exa/llama_index/tools/exa/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-exa/llama_index/tools/exa/__init__.py",
"repo_id": "llama_index",
"token_count": 30
} | 1,482 |
<!--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/model_doc/vivit.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/vivit.md",
"repo_id": "transformers",
"token_count": 618
} | 459 |
# Zero-shot classifier distillation
Author: @joeddav
This script provides a way to improve the speed and memory performance of a zero-shot classifier by training a more
efficient student model from the zero-shot teacher's predictions over an unlabeled dataset.
The zero-shot classification pipeline uses a model pre-... | transformers/examples/research_projects/zero-shot-distillation/README.md/0 | {
"file_path": "transformers/examples/research_projects/zero-shot-distillation/README.md",
"repo_id": "transformers",
"token_count": 2467
} | 621 |
from llama_index.core.tools.tool_spec.base import BaseToolSpec
from llama_index.tools.tavily_research import TavilyToolSpec
def test_class():
names_of_base_classes = [b.__name__ for b in TavilyToolSpec.__mro__]
assert BaseToolSpec.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/tools/llama-index-tools-tavily-research/tests/test_tools_tavily_research.py/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-tavily-research/tests/test_tools_tavily_research.py",
"repo_id": "llama_index",
"token_count": 97
} | 1,633 |
from candle import Tensor, QTensor, DType
from typing import (
Dict,
Tuple,
Any,
Optional,
Union,
Iterator,
Set,
overload,
Mapping,
TypeVar,
List,
)
from collections import OrderedDict, namedtuple
TensorLike = Union[Tensor, QTensor]
T = TypeVar("T", bound="Module")
class _... | candle/candle-pyo3/py_src/candle/nn/module.py/0 | {
"file_path": "candle/candle-pyo3/py_src/candle/nn/module.py",
"repo_id": "candle",
"token_count": 12028
} | 61 |
import os
import re
import shutil
from argparse import ArgumentParser, Namespace
from datasets.commands import BaseDatasetsCLICommand
from datasets.utils.logging import get_logger
HIGHLIGHT_MESSAGE_PRE = """<<<<<<< This should probably be modified because it mentions: """
HIGHLIGHT_MESSAGE_POST = """=======
>>>>>>>... | datasets/src/datasets/commands/convert.py/0 | {
"file_path": "datasets/src/datasets/commands/convert.py",
"repo_id": "datasets",
"token_count": 3822
} | 134 |
# Backwards compatibility.
from langchain_core.language_models import BaseLanguageModel
from langchain_core.language_models.llms import (
LLM,
BaseLLM,
)
__all__ = [
"BaseLanguageModel",
"BaseLLM",
"LLM",
]
| langchain/libs/langchain/langchain/llms/base.py/0 | {
"file_path": "langchain/libs/langchain/langchain/llms/base.py",
"repo_id": "langchain",
"token_count": 87
} | 544 |
# SegmentGrowing
Growing segment has the following additional interfaces:
1. `PreInsert(size) -> reservedOffset`: serial interface, which reserves space for future insertion and returns the `reservedOffset`.
2. `Insert(reservedOffset, size, ...Data...)`: write `...Data...` into range `[reservedOffset, reservedOffset... | milvus/docs/design_docs/segcore/segment_growing.md/0 | {
"file_path": "milvus/docs/design_docs/segcore/segment_growing.md",
"repo_id": "milvus",
"token_count": 879
} | 1,723 |
#!/usr/bin/env python
# coding=utf-8
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LI... | diffusers/examples/dreambooth/train_dreambooth.py/0 | {
"file_path": "diffusers/examples/dreambooth/train_dreambooth.py",
"repo_id": "diffusers",
"token_count": 25331
} | 215 |
package utils
import (
"k8s.io/client-go/dynamic"
"k8s.io/client-go/kubernetes"
"k8s.io/client-go/kubernetes/fake"
"k8s.io/client-go/rest"
)
func GetTestKubenertesInterface() (kubernetes.Interface, error) {
clientset := fake.NewSimpleClientset()
return clientset, nil
}
func getKubernetesConfig() (*rest.Config,... | chroma/go/coordinator/internal/utils/kubernetes.go/0 | {
"file_path": "chroma/go/coordinator/internal/utils/kubernetes.go",
"repo_id": "chroma",
"token_count": 398
} | 55 |
# 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/gptsan_japanese/convert_gptsan_tf_checkpoint_to_pytorch.py/0 | {
"file_path": "transformers/src/transformers/models/gptsan_japanese/convert_gptsan_tf_checkpoint_to_pytorch.py",
"repo_id": "transformers",
"token_count": 5113
} | 674 |
import { z } from "zod";
import type { EmbeddingEndpoint } from "../embeddingEndpoints";
import type { Tensor, Pipeline } from "@xenova/transformers";
import { pipeline } from "@xenova/transformers";
export const embeddingEndpointTransformersJSParametersSchema = z.object({
weight: z.number().int().positive().default(... | chat-ui/src/lib/server/embeddingEndpoints/transformersjs/embeddingEndpoints.ts/0 | {
"file_path": "chat-ui/src/lib/server/embeddingEndpoints/transformersjs/embeddingEndpoints.ts",
"repo_id": "chat-ui",
"token_count": 483
} | 105 |
<!--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/en/model_doc/data2vec.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/data2vec.md",
"repo_id": "transformers",
"token_count": 2027
} | 452 |
# Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | transformers/examples/legacy/seq2seq/train_distilbart_cnn.sh/0 | {
"file_path": "transformers/examples/legacy/seq2seq/train_distilbart_cnn.sh",
"repo_id": "transformers",
"token_count": 541
} | 545 |
package notification
import (
"context"
"sort"
"github.com/chroma/chroma-coordinator/internal/model"
)
type MemoryNotificationStore struct {
notifications map[string][]model.Notification
}
var _ NotificationStore = &MemoryNotificationStore{}
func NewMemoryNotificationStore() *MemoryNotificationStore {
return ... | chroma/go/coordinator/internal/notification/memory_notification_store.go/0 | {
"file_path": "chroma/go/coordinator/internal/notification/memory_notification_store.go",
"repo_id": "chroma",
"token_count": 641
} | 52 |
import os
from typing import Dict, Optional
from ai21 import AI21Client
from langchain_core.pydantic_v1 import BaseModel, Field, SecretStr, root_validator
from langchain_core.utils import convert_to_secret_str
_DEFAULT_TIMEOUT_SEC = 300
class AI21Base(BaseModel):
class Config:
arbitrary_types_allowed = ... | langchain/libs/partners/ai21/langchain_ai21/ai21_base.py/0 | {
"file_path": "langchain/libs/partners/ai21/langchain_ai21/ai21_base.py",
"repo_id": "langchain",
"token_count": 657
} | 677 |
from pydantic import BaseModel
from typing import Any, Dict, List, Optional
from chromadb.api.types import (
CollectionMetadata,
Include,
)
class AddEmbedding(BaseModel):
# Pydantic doesn't handle Union types cleanly like Embeddings which has
# Union[int, float] so we use Any here to ensure data is pa... | chroma/chromadb/server/fastapi/types.py/0 | {
"file_path": "chroma/chromadb/server/fastapi/types.py",
"repo_id": "chroma",
"token_count": 742
} | 21 |
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