text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
# 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/utils/check_copies.py/0 | {
"file_path": "transformers/utils/check_copies.py",
"repo_id": "transformers",
"token_count": 20516
} | 764 |
[tool.black]
# Only used by `hf-doc-builder´.
line-length = 119
target-version = ['py38']
[tool.ruff]
target-version = "py38"
line-length = 119
[tool.ruff.lint]
extend-select = [
"C", # Complexity
"E", # PEP8 errors
"F", # PEP8 formatting
"I", # Import sorting
"UP", # Pyupgrade upgrades
"W", #... | peft/pyproject.toml/0 | {
"file_path": "peft/pyproject.toml",
"repo_id": "peft",
"token_count": 403
} | 345 |
# Copyright 2022 Meta Platforms authors and 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
#
# U... | transformers/tests/models/flava/test_processor_flava.py/0 | {
"file_path": "transformers/tests/models/flava/test_processor_flava.py",
"repo_id": "transformers",
"token_count": 4041
} | 815 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-joplin/llama_index/readers/joplin/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-joplin/llama_index/readers/joplin/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,387 |
python_sources()
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-milvus/llama_index/vector_stores/milvus/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-milvus/llama_index/vector_stores/milvus/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,527 |
from __future__ import annotations
import json
import queue
import random
import time
from functools import partial
from typing import Any, Dict, Iterator, List, Optional, Sequence, Union
import google.protobuf.json_format
import numpy as np
import tritonclient.grpc as grpcclient
from langchain_core.callbacks import ... | langchain/libs/partners/nvidia-trt/langchain_nvidia_trt/llms.py/0 | {
"file_path": "langchain/libs/partners/nvidia-trt/langchain_nvidia_trt/llms.py",
"repo_id": "langchain",
"token_count": 6480
} | 632 |
[flake8]
exclude =
venv
.venv
__pycache__
notebooks
# Recommend matching the black line length (default 88),
# rather than using the flake8 default of 79:
max-line-length = 88
extend-ignore =
# See https://github.com/PyCQA/pycodestyle/issues/373
E203,
| langchain/libs/langchain/.flake8/0 | {
"file_path": "langchain/libs/langchain/.flake8",
"repo_id": "langchain",
"token_count": 105
} | 454 |
## Privacy
> Last updated: October 4, 2023
Users of HuggingChat are authenticated through their HF user account.
By default, your conversations may be shared with the respective models' authors to improve their training data and model over time. Model authors are the custodians of the data collected by their model, ... | chat-ui/PRIVACY.md/0 | {
"file_path": "chat-ui/PRIVACY.md",
"repo_id": "chat-ui",
"token_count": 762
} | 93 |
Format: https://www.debian.org/doc/packaging-manuals/copyright-format/1.0/
Upstream-Name: milvus
Source: https://github.com/milvus-io/milvus
Files: *
Copyright: 2019-2022, Zilliz <yunmei.li@zilliz.com>
License: Apache-2.0
Files: debian/*
Copyright: 2022 Zilliz <yunmei.li@zilliz.com>
License: GPL-2+
License: GPL-2+
... | milvus/build/deb/debian/copyright/0 | {
"file_path": "milvus/build/deb/debian/copyright",
"repo_id": "milvus",
"token_count": 397
} | 1,609 |
import os
from langchain_community.embeddings import BedrockEmbeddings
from langchain_community.llms.bedrock import Bedrock
from langchain_community.vectorstores import FAISS
from langchain_core.output_parsers import StrOutputParser
from langchain_core.prompts import ChatPromptTemplate
from langchain_core.pydantic_v1 ... | langchain/templates/rag-aws-bedrock/rag_aws_bedrock/chain.py/0 | {
"file_path": "langchain/templates/rag-aws-bedrock/rag_aws_bedrock/chain.py",
"repo_id": "langchain",
"token_count": 508
} | 650 |
/* eslint-disable no-process-env */
/* eslint-disable @typescript-eslint/no-non-null-assertion */
import { test, expect } from "@jest/globals";
import { Bedrock } from "../bedrock/index.js";
test("Test Bedrock LLM: AI21", async () => {
const region = process.env.BEDROCK_AWS_REGION!;
const model = "ai21.j2-grande-... | langchainjs/libs/langchain-community/src/llms/tests/bedrock.int.test.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/llms/tests/bedrock.int.test.ts",
"repo_id": "langchainjs",
"token_count": 2052
} | 973 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/postprocessor/llama-index-postprocessor-presidio/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/postprocessor/llama-index-postprocessor-presidio/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,353 |
from typing import Optional
from llama_index.legacy.storage.docstore.keyval_docstore import KVDocumentStore
from llama_index.legacy.storage.docstore.types import DEFAULT_BATCH_SIZE
from llama_index.legacy.storage.kvstore.firestore_kvstore import FirestoreKVStore
class FirestoreDocumentStore(KVDocumentStore):
"""... | llama_index/llama-index-legacy/llama_index/legacy/storage/docstore/firestore_docstore.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/storage/docstore/firestore_docstore.py",
"repo_id": "llama_index",
"token_count": 548
} | 1,774 |
from langchain_community.utilities.redis import (
TokenEscaper,
check_redis_module_exist,
get_client,
)
__all__ = [
"TokenEscaper",
"check_redis_module_exist",
"get_client",
]
| langchain/libs/langchain/langchain/utilities/redis.py/0 | {
"file_path": "langchain/libs/langchain/langchain/utilities/redis.py",
"repo_id": "langchain",
"token_count": 86
} | 577 |
# get build time
MACRO(get_current_time CURRENT_TIME)
execute_process(COMMAND "date" "+%Y-%m-%d %H:%M.%S" OUTPUT_VARIABLE ${CURRENT_TIME})
string(REGEX REPLACE "\n" "" ${CURRENT_TIME} ${${CURRENT_TIME}})
ENDMACRO(get_current_time)
# get build type
MACRO(get_build_type)
cmake_parse_arguments(BUILD_TYPE "" "... | milvus/internal/core/cmake/Utils.cmake/0 | {
"file_path": "milvus/internal/core/cmake/Utils.cmake",
"repo_id": "milvus",
"token_count": 1679
} | 1,916 |
from __future__ import annotations
from enum import Enum
from typing import TYPE_CHECKING, Any, Dict, List, Optional
from langchain_core.callbacks import (
AsyncCallbackManagerForRetrieverRun,
CallbackManagerForRetrieverRun,
)
from langchain_core.documents import Document
from langchain_core.pydantic_v1 impor... | langchain/libs/community/langchain_community/retrievers/zep.py/0 | {
"file_path": "langchain/libs/community/langchain_community/retrievers/zep.py",
"repo_id": "langchain",
"token_count": 2521
} | 299 |
[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 = ["DocstringWalker"]
contains_example = false
import_path = "llama_index.readers.docstring_w... | llama_index/llama-index-integrations/readers/llama-index-readers-docstring-walker/pyproject.toml/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-docstring-walker/pyproject.toml",
"repo_id": "llama_index",
"token_count": 669
} | 1,307 |
from llama_index.core.embeddings.mock_embed_model import MockEmbedding
from llama_index.core.embeddings.utils import resolve_embed_model
from pytest import MonkeyPatch
def test_resolve_embed_model(monkeypatch: MonkeyPatch) -> None:
# Test None
embed_model = resolve_embed_model(None)
assert isinstance(embe... | llama_index/llama-index-core/tests/embeddings/test_utils.py/0 | {
"file_path": "llama_index/llama-index-core/tests/embeddings/test_utils.py",
"repo_id": "llama_index",
"token_count": 112
} | 1,154 |
import { ChatOllama } from "@langchain/community/chat_models/ollama";
import { HumanMessage } from "@langchain/core/messages";
import * as fs from "node:fs/promises";
const imageData = await fs.readFile("./hotdog.jpg");
const chat = new ChatOllama({
model: "llava",
baseUrl: "http://127.0.0.1:11434",
});
const res ... | langchainjs/examples/src/models/chat/integration_ollama_multimodal.ts/0 | {
"file_path": "langchainjs/examples/src/models/chat/integration_ollama_multimodal.ts",
"repo_id": "langchainjs",
"token_count": 339
} | 824 |
from typing import Any, Dict, List, Optional, Union
import responses
from langchain_core.documents import Document
from langchain_community.utilities.you import YouSearchAPIWrapper
TEST_ENDPOINT = "https://api.ydc-index.io"
# Mock you.com response for testing
MOCK_RESPONSE_RAW: Dict[str, List[Dict[str, Union[str, L... | langchain/libs/community/tests/unit_tests/utilities/test_you.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/utilities/test_you.py",
"repo_id": "langchain",
"token_count": 2592
} | 383 |
// 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/service_param_test.go/0 | {
"file_path": "milvus/pkg/util/paramtable/service_param_test.go",
"repo_id": "milvus",
"token_count": 2555
} | 1,947 |
"""LlamaIndex toolkit."""
from typing import List
from llama_index.legacy.bridge.langchain import BaseTool, BaseToolkit
from llama_index.legacy.bridge.pydantic import Field
from llama_index.legacy.langchain_helpers.agents.tools import (
IndexToolConfig,
LlamaIndexTool,
)
class LlamaToolkit(BaseToolkit):
... | llama_index/llama-index-legacy/llama_index/legacy/langchain_helpers/agents/toolkits.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/langchain_helpers/agents/toolkits.py",
"repo_id": "llama_index",
"token_count": 316
} | 1,574 |
from abc import ABC, abstractmethod
from typing import Callable, List, Optional
from langchain_experimental.data_anonymizer.deanonymizer_mapping import MappingDataType
from langchain_experimental.data_anonymizer.deanonymizer_matching_strategies import (
exact_matching_strategy,
)
DEFAULT_DEANONYMIZER_MATCHING_STR... | langchain/libs/experimental/langchain_experimental/data_anonymizer/base.py/0 | {
"file_path": "langchain/libs/experimental/langchain_experimental/data_anonymizer/base.py",
"repo_id": "langchain",
"token_count": 716
} | 429 |
# Supabase Self Query Retriever
This example shows how to use a self query retriever with a [Supabase](https://supabase.com) vector store.
If you haven't already set up Supabase, please [follow the instructions here](/docs/integrations/vectorstores/supabase).
## Usage
import IntegrationInstallTooltip from "@mdx_com... | langchainjs/docs/core_docs/docs/modules/data_connection/retrievers/self_query/supabase-self-query.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/data_connection/retrievers/self_query/supabase-self-query.mdx",
"repo_id": "langchainjs",
"token_count": 478
} | 811 |
# README
## Overview
Milvus 2.2.3 supports rolling update. This script helps you to perform a rolling update with zero downtime.
> Note:
> 1. Milvus version must be after 2.2.0.
> 2. This script only applies to update Milvus installed with Helm and does not apply to Milvus installed with Milvus Operator.
> 3. Thi... | milvus/deployments/upgrade/README.md/0 | {
"file_path": "milvus/deployments/upgrade/README.md",
"repo_id": "milvus",
"token_count": 970
} | 1,640 |
<!---
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/examples/legacy/seq2seq/README.md/0 | {
"file_path": "transformers/examples/legacy/seq2seq/README.md",
"repo_id": "transformers",
"token_count": 5084
} | 523 |
"""Test the APIOperation class."""
import json
import os
from pathlib import Path
from typing import Iterable, List, Tuple
import pytest
# Keep at top of file to ensure that pydantic test can be skipped before
# pydantic v1 related imports are attempted by openapi_pydantic.
from langchain_core.pydantic_v1 import _PYD... | langchain/libs/community/tests/unit_tests/tools/openapi/test_api_models.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/tools/openapi/test_api_models.py",
"repo_id": "langchain",
"token_count": 3083
} | 386 |
# @langchain/google-genai
This package contains the LangChain.js integrations for Gemini through their generative-ai SDK.
## Installation
```bash npm2yarn
npm install @langchain/google-genai
```
This package, along with the main LangChain package, depends on [`@langchain/core`](https://npmjs.com/package/@langchain/... | langchainjs/libs/langchain-google-genai/README.md/0 | {
"file_path": "langchainjs/libs/langchain-google-genai/README.md",
"repo_id": "langchainjs",
"token_count": 1326
} | 1,035 |
"""Official evaluation script for SQuAD version 2.0.
In addition to basic functionality, we also compute additional statistics and
plot precision-recall curves if an additional na_prob.json file is provided.
This file is expected to map question ID's to the model's predicted probability
that a question is unanswerable... | datasets/metrics/squad_v2/evaluate.py/0 | {
"file_path": "datasets/metrics/squad_v2/evaluate.py",
"repo_id": "datasets",
"token_count": 5443
} | 145 |
# 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... | transformers/src/transformers/models/siglip/processing_siglip.py/0 | {
"file_path": "transformers/src/transformers/models/siglip/processing_siglip.py",
"repo_id": "transformers",
"token_count": 2823
} | 678 |
search_performance:
collections:
-
server:
db_config.primary_path: /test/milvus/db_data_gpu/jaccard_50m_128_512_jaccard_ivf
cache_config.cpu_cache_capacity: 32
engine_config.use_blas_threshold: 1100
engine_config.gpu_search_threshold: 1
gpu_resource_config.enable: tr... | milvus/tests/benchmark/milvus_benchmark/suites/gpu_search_performance_jaccard50m.yaml/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/suites/gpu_search_performance_jaccard50m.yaml",
"repo_id": "milvus",
"token_count": 375
} | 2,096 |
import { z } from "zod";
import { expect, test } from "@jest/globals";
import { Document } from "@langchain/core/documents";
import { ChatOpenAI } from "@langchain/openai";
import { PromptTemplate } from "@langchain/core/prompts";
import { createMetadataTaggerFromZod } from "../openai_functions.js";
const taggingChai... | langchainjs/langchain/src/document_transformers/tests/openai_functions.int.test.ts/0 | {
"file_path": "langchainjs/langchain/src/document_transformers/tests/openai_functions.int.test.ts",
"repo_id": "langchainjs",
"token_count": 540
} | 915 |
// Code generated by protoc-gen-go. DO NOT EDIT.
// versions:
// protoc-gen-go v1.31.0
// protoc v4.23.4
// source: chromadb/proto/coordinator.proto
package coordinatorpb
import (
protoreflect "google.golang.org/protobuf/reflect/protoreflect"
protoimpl "google.golang.org/protobuf/runtime/protoimpl"
emptyp... | chroma/go/coordinator/internal/proto/coordinatorpb/coordinator.pb.go/0 | {
"file_path": "chroma/go/coordinator/internal/proto/coordinatorpb/coordinator.pb.go",
"repo_id": "chroma",
"token_count": 34067
} | 53 |
from llama_index.embeddings.together.base import TogetherEmbedding
__all__ = ["TogetherEmbedding"]
| llama_index/llama-index-integrations/embeddings/llama-index-embeddings-together/llama_index/embeddings/together/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-together/llama_index/embeddings/together/__init__.py",
"repo_id": "llama_index",
"token_count": 31
} | 1,198 |
"""Wrapper around Google VertexAI chat-based models."""
from __future__ import annotations
import base64
import logging
import re
from dataclasses import dataclass, field
from typing import TYPE_CHECKING, Any, Dict, Iterator, List, Optional, Union, cast
from urllib.parse import urlparse
import requests
from langchain... | langchain/libs/community/langchain_community/chat_models/vertexai.py/0 | {
"file_path": "langchain/libs/community/langchain_community/chat_models/vertexai.py",
"repo_id": "langchain",
"token_count": 6300
} | 229 |
"""Test WatsonxLLM API wrapper."""
from langchain_community.llms import WatsonxLLM
def test_watsonxllm_call() -> None:
watsonxllm = WatsonxLLM(
model_id="google/flan-ul2",
url="https://us-south.ml.cloud.ibm.com",
apikey="***",
project_id="***",
)
response = watsonxllm("Wha... | langchain/libs/community/tests/integration_tests/llms/test_watsonxllm.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/llms/test_watsonxllm.py",
"repo_id": "langchain",
"token_count": 166
} | 368 |
python_sources()
| llama_index/experimental/classifier/BUILD/0 | {
"file_path": "llama_index/experimental/classifier/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,168 |
import wandb
import numpy as np
import torch, torchvision
import torch.nn.functional as F
from PIL import Image
from tqdm.auto import tqdm
from fastcore.script import call_parse
from torchvision import transforms
from diffusers import DDPMPipeline
from diffusers import DDIMScheduler
from datasets import load_dataset
fr... | diffusion-models-class/units/fr/unit2/finetune_model.py/0 | {
"file_path": "diffusion-models-class/units/fr/unit2/finetune_model.py",
"repo_id": "diffusion-models-class",
"token_count": 2153
} | 307 |
python_tests(
name="tests",
skip_tests=True,
)
| llama_index/llama-index-legacy/tests/retrievers/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/tests/retrievers/BUILD",
"repo_id": "llama_index",
"token_count": 25
} | 1,678 |
"""Tool for the Bing search API."""
from typing import Optional
from langchain_core.callbacks import CallbackManagerForToolRun
from langchain_core.tools import BaseTool
from langchain_community.utilities.bing_search import BingSearchAPIWrapper
class BingSearchRun(BaseTool):
"""Tool that queries the Bing search... | langchain/libs/community/langchain_community/tools/bing_search/tool.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/bing_search/tool.py",
"repo_id": "langchain",
"token_count": 527
} | 297 |
from __future__ import annotations
import logging
import math
import warnings
from abc import ABC, abstractmethod
from typing import (
TYPE_CHECKING,
Any,
Callable,
ClassVar,
Collection,
Dict,
Iterable,
List,
Optional,
Tuple,
Type,
TypeVar,
)
from langchain_core.embeddi... | langchain/libs/core/langchain_core/vectorstores.py/0 | {
"file_path": "langchain/libs/core/langchain_core/vectorstores.py",
"repo_id": "langchain",
"token_count": 11066
} | 427 |
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/tests/models/sam/test_modeling_sam.py/0 | {
"file_path": "transformers/tests/models/sam/test_modeling_sam.py",
"repo_id": "transformers",
"token_count": 13033
} | 748 |
poetry_requirements(
name="poetry",
)
python_requirements(
name="reqs",
)
| llama_index/llama-index-integrations/readers/llama-index-readers-opendal/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-opendal/BUILD",
"repo_id": "llama_index",
"token_count": 36
} | 1,396 |
backend-test:J
xytest"Relu
SingleReluZ
x
b
y
B | candle/test.onnx/0 | {
"file_path": "candle/test.onnx",
"repo_id": "candle",
"token_count": 76
} | 79 |
from chromadb.config import Component, System, Settings
from overrides import overrides
from threading import local
import random
data = local() # use thread local just in case tests ever run in parallel
def reset() -> None:
global data
data.starts = []
data.stops = []
data.inits = []
class Compon... | chroma/chromadb/test/test_config.py/0 | {
"file_path": "chroma/chromadb/test/test_config.py",
"repo_id": "chroma",
"token_count": 1656
} | 29 |
from langchain_community.embeddings.mlflow import MlflowEmbeddings
__all__ = ["MlflowEmbeddings"]
| langchain/libs/langchain/langchain/embeddings/mlflow.py/0 | {
"file_path": "langchain/libs/langchain/langchain/embeddings/mlflow.py",
"repo_id": "langchain",
"token_count": 35
} | 547 |
import { logVersion010MigrationWarning } from "../util/entrypoint_deprecation.js";
/* #__PURE__ */ logVersion010MigrationWarning({
oldEntrypointName: "vectorstores/hnswlib",
});
export * from "@langchain/community/vectorstores/hnswlib";
| langchainjs/langchain/src/vectorstores/hnswlib.ts/0 | {
"file_path": "langchainjs/langchain/src/vectorstores/hnswlib.ts",
"repo_id": "langchainjs",
"token_count": 74
} | 964 |
# 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/pipelines/kandinsky/pipeline_kandinsky.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/kandinsky/pipeline_kandinsky.py",
"repo_id": "diffusers",
"token_count": 7949
} | 243 |
import threading
import pytest
import os
import time
import json
from time import sleep
from pymilvus import connections
from chaos.checker import (CollectionCreateChecker, InsertChecker, FlushChecker,
SearchChecker, QueryChecker, IndexCreateChecker, DeleteChecker, Op)
from common.cus_resour... | milvus/tests/python_client/chaos/test_chaos.py/0 | {
"file_path": "milvus/tests/python_client/chaos/test_chaos.py",
"repo_id": "milvus",
"token_count": 4955
} | 1,963 |
package connection
import (
"context"
"testing"
"time"
"github.com/stretchr/testify/assert"
"github.com/milvus-io/milvus-proto/go-api/v2/commonpb"
)
func Test_withDuration(t *testing.T) {
s := &connectionManager{}
s.apply(withDuration(defaultConnCheckDuration))
assert.Equal(t, defaultConnCheckDuration, s.du... | milvus/internal/proxy/connection/manager_test.go/0 | {
"file_path": "milvus/internal/proxy/connection/manager_test.go",
"repo_id": "milvus",
"token_count": 663
} | 1,736 |
# coding=utf-8
# Copyright 2020 The Microsoft 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
#
# Unl... | transformers/src/transformers/models/xlm_prophetnet/configuration_xlm_prophetnet.py/0 | {
"file_path": "transformers/src/transformers/models/xlm_prophetnet/configuration_xlm_prophetnet.py",
"repo_id": "transformers",
"token_count": 3551
} | 720 |
import time
import logging
from locust import User, events
from milvus_benchmark.client import MilvusClient
logger = logging.getLogger("milvus_benchmark.runners.locust_task")
class MilvusTask(object):
def __init__(self, *args, **kwargs):
self.request_type = "grpc"
connection_type = kwargs.get("co... | milvus/tests/benchmark/milvus_benchmark/runners/locust_task.py/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/runners/locust_task.py",
"repo_id": "milvus",
"token_count": 688
} | 2,136 |
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/tests/models/seamless_m4t/test_modeling_seamless_m4t.py/0 | {
"file_path": "transformers/tests/models/seamless_m4t/test_modeling_seamless_m4t.py",
"repo_id": "transformers",
"token_count": 21929
} | 810 |
"""
**Agent** is a class that uses an LLM to choose a sequence of actions to take.
In Chains, a sequence of actions is hardcoded. In Agents,
a language model is used as a reasoning engine to determine which actions
to take and in which order.
Agents select and use **Tools** and **Toolkits** for actions.
**Class hier... | langchain/libs/langchain/langchain/agents/__init__.py/0 | {
"file_path": "langchain/libs/langchain/langchain/agents/__init__.py",
"repo_id": "langchain",
"token_count": 1849
} | 431 |
# coding=utf-8
# Copyright 2022 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/src/transformers/models/x_clip/configuration_x_clip.py/0 | {
"file_path": "transformers/src/transformers/models/x_clip/configuration_x_clip.py",
"repo_id": "transformers",
"token_count": 8112
} | 770 |
python_tests(
interpreter_constraints=["==3.10.*"],
)
| llama_index/llama-index-integrations/retrievers/llama-index-retrievers-pathway/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/retrievers/llama-index-retrievers-pathway/tests/BUILD",
"repo_id": "llama_index",
"token_count": 22
} | 1,448 |
from llama_index.storage.chat_store.redis.base import RedisChatStore
__all__ = ["RedisChatStore"]
| llama_index/llama-index-integrations/storage/chat_store/llama-index-storage-chat-store-redis/llama_index/storage/chat_store/redis/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/storage/chat_store/llama-index-storage-chat-store-redis/llama_index/storage/chat_store/redis/__init__.py",
"repo_id": "llama_index",
"token_count": 34
} | 1,588 |
label: 'Graph databases'
position: 1 | langchainjs/docs/core_docs/docs/modules/data_connection/experimental/graph_databases/_category_.yml/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/data_connection/experimental/graph_databases/_category_.yml",
"repo_id": "langchainjs",
"token_count": 10
} | 731 |
#!/bin/bash
# Exit immediately for non zero status
set -e
instance_name=$1
ns_name=${2:-"chaos-testing"}
log_dir=${3:-"k8s_logs"}
#show proxy pod log
array=($(kubectl get pod -n ${ns_name} -l "app.kubernetes.io/component=proxy, app.kubernetes.io/instance=${instance_name}"| awk 'NR == 1 {next} {print $1}'))
echo ${a... | milvus/tests/scripts/export_log_k8s_for_operator.sh/0 | {
"file_path": "milvus/tests/scripts/export_log_k8s_for_operator.sh",
"repo_id": "milvus",
"token_count": 984
} | 1,986 |
import { logVersion010MigrationWarning } from "../../util/entrypoint_deprecation.js";
/* #__PURE__ */ logVersion010MigrationWarning({
oldEntrypointName: "stores/message/upstash_redis",
});
export * from "@langchain/community/stores/message/upstash_redis";
| langchainjs/langchain/src/stores/message/upstash_redis.ts/0 | {
"file_path": "langchainjs/langchain/src/stores/message/upstash_redis.ts",
"repo_id": "langchainjs",
"token_count": 83
} | 913 |
# 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... | transformers/tests/models/siglip/test_tokenization_siglip.py/0 | {
"file_path": "transformers/tests/models/siglip/test_tokenization_siglip.py",
"repo_id": "transformers",
"token_count": 9751
} | 812 |
"""Loader that uses unstructured to load files."""
import collections
from abc import ABC, abstractmethod
from typing import IO, Any, Callable, Dict, List, Optional, Sequence, Union
from langchain_core.documents import Document
from langchain_community.document_loaders.base import BaseLoader
def satisfies_min_unstr... | langchain/libs/community/langchain_community/document_loaders/unstructured.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/unstructured.py",
"repo_id": "langchain",
"token_count": 5691
} | 270 |
# coding=utf-8
# Copyright 2024 HuggingFace Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | diffusers/tests/pipelines/stable_diffusion_ldm3d/test_stable_diffusion_ldm3d.py/0 | {
"file_path": "diffusers/tests/pipelines/stable_diffusion_ldm3d/test_stable_diffusion_ldm3d.py",
"repo_id": "diffusers",
"token_count": 5572
} | 269 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-openalex/llama_index/readers/openalex/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-openalex/llama_index/readers/openalex/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,408 |
// 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/util/cache/lru_impl.go/0 | {
"file_path": "milvus/pkg/util/cache/lru_impl.go",
"repo_id": "milvus",
"token_count": 886
} | 1,896 |
"""Joint QA Summary graph."""
from typing import List, Optional, Sequence
from llama_index.core.base.embeddings.base import BaseEmbedding
from llama_index.core.callbacks.base import CallbackManager
from llama_index.core.indices.list.base import SummaryIndex
from llama_index.core.indices.vector_store import VectorSto... | llama_index/llama-index-core/llama_index/core/composability/joint_qa_summary.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/composability/joint_qa_summary.py",
"repo_id": "llama_index",
"token_count": 1900
} | 1,167 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/querycoordv2/task/utils_test.go/0 | {
"file_path": "milvus/internal/querycoordv2/task/utils_test.go",
"repo_id": "milvus",
"token_count": 1410
} | 1,846 |
"""Whatsapp chat data loader."""
import logging
from pathlib import Path
from typing import List
from llama_index.core.readers.base import BaseReader
from llama_index.core.schema import Document
class WhatsappChatLoader(BaseReader):
"""
Whatsapp chat data loader.
Args:
path (str): Path to Whats... | llama_index/llama-index-integrations/readers/llama-index-readers-whatsapp/llama_index/readers/whatsapp/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-whatsapp/llama_index/readers/whatsapp/base.py",
"repo_id": "llama_index",
"token_count": 796
} | 1,448 |
# Copyright 2024 Salesforce.com, inc.
# Copyright 2024 The HuggingFace Team. All rights reserved.#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE... | diffusers/src/diffusers/pipelines/blip_diffusion/pipeline_blip_diffusion.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/blip_diffusion/pipeline_blip_diffusion.py",
"repo_id": "diffusers",
"token_count": 6482
} | 238 |
import { ChatMinimax } from "@langchain/community/chat_models/minimax";
import { HumanMessage } from "@langchain/core/messages";
const functionSchema = {
name: "get_weather",
description: " Get weather information.",
parameters: {
type: "object",
properties: {
location: {
type: "string",
... | langchainjs/examples/src/models/chat/minimax_functions.ts/0 | {
"file_path": "langchainjs/examples/src/models/chat/minimax_functions.ts",
"repo_id": "langchainjs",
"token_count": 723
} | 849 |
# OpenAI Function calling
import CodeBlock from "@theme/CodeBlock";
import OpenAIFunctionsExample from "@examples/models/chat/openai_functions.ts";
import OpenAIFunctionsZodExample from "@examples/models/chat/openai_functions_zod.ts";
Function calling is a useful way to get structured output from an LLM for a wide ra... | langchainjs/docs/core_docs/docs/modules/model_io/chat/function_calling.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/model_io/chat/function_calling.mdx",
"repo_id": "langchainjs",
"token_count": 1228
} | 747 |
# Copyright 2022 The OFA-Sys Team Authors and 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
#
#... | transformers/src/transformers/models/chinese_clip/__init__.py/0 | {
"file_path": "transformers/src/transformers/models/chinese_clip/__init__.py",
"repo_id": "transformers",
"token_count": 1106
} | 611 |
# LlamaIndex Llms Integration: Neutrino
| llama_index/llama-index-integrations/llms/llama-index-llms-neutrino/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-neutrino/README.md",
"repo_id": "llama_index",
"token_count": 13
} | 1,406 |
accuracy:
collections:
-
milvus:
db_config.primary_path: /test/milvus/db_data_011/sift_10m_128_l2_sq8
cache_config.cpu_cache_capacity: 8GB
engine_config.use_blas_threshold: 1100
engine_config.gpu_search_threshold: 1
gpu_resource_config.enable: false
gpu_resour... | milvus/tests/benchmark/milvus_benchmark/suites/011_cpu_accuracy.yaml/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/suites/011_cpu_accuracy.yaml",
"repo_id": "milvus",
"token_count": 936
} | 1,933 |
// 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/metacache/segment_test.go/0 | {
"file_path": "milvus/internal/datanode/metacache/segment_test.go",
"repo_id": "milvus",
"token_count": 690
} | 1,842 |
<html>
<head>
<title>Chew dad's slippers</title>
</head>
<body>
<h1>
Instead of drinking water from the cat bowl, make sure to steal water from
the toilet
</h1>
<h2>Chase the red dot</h2>
<p>
Munch, munch, chomp, chomp hate dogs. Spill litter box, scratch at owner,
dest... | langchain/libs/community/tests/examples/example-utf8.html/0 | {
"file_path": "langchain/libs/community/tests/examples/example-utf8.html",
"repo_id": "langchain",
"token_count": 338
} | 345 |
"""SQL agent."""
| langchain/libs/langchain/langchain/agents/agent_toolkits/sql/__init__.py/0 | {
"file_path": "langchain/libs/langchain/langchain/agents/agent_toolkits/sql/__init__.py",
"repo_id": "langchain",
"token_count": 6
} | 441 |
# Copyright 2024 TSAIL Team and 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... | diffusers/src/diffusers/schedulers/scheduling_unipc_multistep.py/0 | {
"file_path": "diffusers/src/diffusers/schedulers/scheduling_unipc_multistep.py",
"repo_id": "diffusers",
"token_count": 17326
} | 267 |
from overrides import override
from typing import Optional, Sequence, Dict, Set, List, cast
from uuid import UUID
from chromadb.segment import VectorReader
from chromadb.ingest import Consumer
from chromadb.config import System, Settings
from chromadb.segment.impl.vector.batch import Batch
from chromadb.segment.impl.ve... | chroma/chromadb/segment/impl/vector/local_hnsw.py/0 | {
"file_path": "chroma/chromadb/segment/impl/vector/local_hnsw.py",
"repo_id": "chroma",
"token_count": 5665
} | 17 |
import json
import logging
import os
import tempfile
import zipfile
from pathlib import Path
from typing import Iterator, List, Union
from langchain_core.chat_sessions import ChatSession
from langchain_core.messages import AIMessage, BaseMessage, HumanMessage
from langchain_community.chat_loaders.base import BaseChat... | langchain/libs/community/langchain_community/chat_loaders/telegram.py/0 | {
"file_path": "langchain/libs/community/langchain_community/chat_loaders/telegram.py",
"repo_id": "langchain",
"token_count": 2499
} | 219 |
from collections import defaultdict, abc
from typing import cast
from docutils import nodes
from docutils.parsers.rst import Directive
import sphinx
from sphinx.locale import _
from sphinx.util.docutils import SphinxDirective
from sphinx.errors import ExtensionError
from conf import languages as LANGUAGES
logger = ... | tokenizers/docs/source/_ext/entities.py/0 | {
"file_path": "tokenizers/docs/source/_ext/entities.py",
"repo_id": "tokenizers",
"token_count": 4032
} | 467 |
import tempfile
import uuid
from typing import Optional
import pytest
from langchain_core.documents import Document
from langchain_community.vectorstores import Qdrant
from langchain_community.vectorstores.qdrant import QdrantException
from tests.integration_tests.vectorstores.fake_embeddings import (
ConsistentF... | langchain/libs/community/tests/integration_tests/vectorstores/qdrant/test_from_texts.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/vectorstores/qdrant/test_from_texts.py",
"repo_id": "langchain",
"token_count": 4569
} | 352 |
# SK-ResNeXt
**SK ResNeXt** is a variant of a [ResNeXt](https://www.paperswithcode.com/method/resnext) that employs a [Selective Kernel](https://paperswithcode.com/method/selective-kernel) unit. In general, all the large kernel convolutions in the original bottleneck blocks in ResNext are replaced by the proposed [SK ... | pytorch-image-models/docs/models/.templates/models/skresnext.md/0 | {
"file_path": "pytorch-image-models/docs/models/.templates/models/skresnext.md",
"repo_id": "pytorch-image-models",
"token_count": 822
} | 333 |
import asyncio
from itertools import chain
from threading import Thread
from typing import (
Any,
AsyncGenerator,
Dict,
Generator,
List,
Optional,
Sequence,
Tuple,
Type,
cast,
)
from llama_index.legacy.agent.react.formatter import ReActChatFormatter
from llama_index.legacy.agent... | llama_index/llama-index-legacy/llama_index/legacy/agent/legacy/react/base.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/agent/legacy/react/base.py",
"repo_id": "llama_index",
"token_count": 8450
} | 1,636 |
<jupyter_start><jupyter_text>kNN>In statistics, the [k-nearest neighbors algorithm (k-NN)](https://en.wikipedia.org/wiki/K-nearest_neighbors_algorithm) is a non-parametric supervised learning method first developed by Evelyn Fix and Joseph Hodges in 1951, and later expanded by Thomas Cover. It is used for classificatio... | langchain/docs/docs/integrations/retrievers/knn.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/retrievers/knn.ipynb",
"repo_id": "langchain",
"token_count": 325
} | 161 |
"""Tools for interacting with vectorstores."""
import json
from typing import Any, Dict, Optional
from langchain_core.callbacks import (
AsyncCallbackManagerForToolRun,
CallbackManagerForToolRun,
)
from langchain_core.language_models import BaseLanguageModel
from langchain_core.pydantic_v1 import BaseModel, F... | langchain/libs/community/langchain_community/tools/vectorstore/tool.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/vectorstore/tool.py",
"repo_id": "langchain",
"token_count": 2009
} | 302 |
const fs = require("fs");
const path = require("path");
const BASE_TYPEDOC_CONFIG = {
$schema: "https://typedoc.org/schema.json",
out: "public",
sort: [
"kind",
"visibility",
"instance-first",
"required-first",
"alphabetical",
],
plugin: ["./typedoc_plugins/hide_underscore_lc.js"],
tsco... | langchainjs/docs/api_refs/scripts/create-entrypoints.js/0 | {
"file_path": "langchainjs/docs/api_refs/scripts/create-entrypoints.js",
"repo_id": "langchainjs",
"token_count": 1155
} | 743 |
"""Chain that makes API calls and summarizes the responses to answer a question."""
from __future__ import annotations
import json
from typing import Any, Dict, List, NamedTuple, Optional, cast
from langchain_community.tools.openapi.utils.api_models import APIOperation
from langchain_community.utilities.requests impo... | langchain/libs/langchain/langchain/chains/api/openapi/chain.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chains/api/openapi/chain.py",
"repo_id": "langchain",
"token_count": 3861
} | 479 |
import json
import os
from typing import Any, Dict, List, Optional
from langchain_core.embeddings import Embeddings
from langchain_core.pydantic_v1 import BaseModel, Extra, root_validator
DEFAULT_MODEL = "sentence-transformers/all-mpnet-base-v2"
VALID_TASKS = ("feature-extraction",)
class HuggingFaceHubEmbeddings(B... | langchain/libs/community/langchain_community/embeddings/huggingface_hub.py/0 | {
"file_path": "langchain/libs/community/langchain_community/embeddings/huggingface_hub.py",
"repo_id": "langchain",
"token_count": 2208
} | 270 |
"""Unit tests for the Logical Fallacy chain, same format as CAI"""
from langchain_experimental.fallacy_removal.base import FallacyChain
TEXT_ONE = """ This text is bad.\
Fallacy Revision request: Make it great.\
Fallacy Revision:"""
TEXT_TWO = """ This text is bad.\n\n"""
TEXT_THREE = """ This text is bad.\
Falla... | langchain/libs/experimental/tests/unit_tests/test_logical_fallacy.py/0 | {
"file_path": "langchain/libs/experimental/tests/unit_tests/test_logical_fallacy.py",
"repo_id": "langchain",
"token_count": 260
} | 453 |
# 🦜️🔗 LangChain
⚡ Build context-aware reasoning applications ⚡
[](https://github.com/langchain-ai/langchain/releases)
[](https://github.com/langch... | langchain/README.md/0 | {
"file_path": "langchain/README.md",
"repo_id": "langchain",
"token_count": 2310
} | 73 |
""" Twins
A PyTorch impl of : `Twins: Revisiting the Design of Spatial Attention in Vision Transformers`
- https://arxiv.org/pdf/2104.13840.pdf
Code/weights from https://github.com/Meituan-AutoML/Twins, original copyright/license info below
"""
# --------------------------------------------------------
# Twins
# ... | pytorch-image-models/timm/models/twins.py/0 | {
"file_path": "pytorch-image-models/timm/models/twins.py",
"repo_id": "pytorch-image-models",
"token_count": 9685
} | 369 |
""" NormAct (Normalizaiton + Activation Layer) Factory
Create norm + act combo modules that attempt to be backwards compatible with separate norm + act
isntances in models. Where these are used it will be possible to swap separate BN + act layers with
combined modules like IABN or EvoNorms.
Hacked together by / Copyr... | pytorch-image-models/timm/layers/create_norm_act.py/0 | {
"file_path": "pytorch-image-models/timm/layers/create_norm_act.py",
"repo_id": "pytorch-image-models",
"token_count": 1594
} | 366 |
# coding=utf-8
# Copyright 2022 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/src/transformers/models/mobilenet_v1/configuration_mobilenet_v1.py/0 | {
"file_path": "transformers/src/transformers/models/mobilenet_v1/configuration_mobilenet_v1.py",
"repo_id": "transformers",
"token_count": 1942
} | 658 |
python_tests()
| llama_index/llama-index-integrations/embeddings/llama-index-embeddings-text-embeddings-inference/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-text-embeddings-inference/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,197 |
# Arxiv
>[arXiv](https://arxiv.org/) is an open-access archive for 2 million scholarly articles in the fields of physics,
> mathematics, computer science, quantitative biology, quantitative finance, statistics, electrical engineering and
> systems science, and economics.
## Installation and Setup
First, you need ... | langchain/docs/docs/integrations/providers/arxiv.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/arxiv.mdx",
"repo_id": "langchain",
"token_count": 257
} | 130 |
<jupyter_start><jupyter_text>GraphQL Agent ToolThis example walks through two examples of connecting an Agent to a GraphQL server, one unauthenticated endpoint and one authenticated. To start, we initialize the OpenAI package with our api key.<jupyter_code># Setup OpenAI Agent
import openai
openai.api_key = "sk-your-k... | llama_index/llama-index-integrations/tools/llama-index-tools-graphql/examples/graphql.ipynb/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-graphql/examples/graphql.ipynb",
"repo_id": "llama_index",
"token_count": 1361
} | 1,482 |
import { loadEvaluator } from "langchain/evaluation";
const evaluator = await loadEvaluator("labeled_criteria", {
criteria: "correctness",
});
console.log("beginning evaluation");
const res = await evaluator.evaluateStrings({
input: "What is the capital of the US?",
prediction: "Topeka, KS",
reference:
"T... | langchainjs/examples/src/guides/evaluation/string/criteria_with_reference.ts/0 | {
"file_path": "langchainjs/examples/src/guides/evaluation/string/criteria_with_reference.ts",
"repo_id": "langchainjs",
"token_count": 263
} | 864 |
<jupyter_start><jupyter_text>Benchmarking LLM Evaluators On A Mini MT-Bench (Single Grading) `LabelledEvaluatorDataset` In this notebook, we'll conduct an evaluation of three different evaluators that will be judging another LLM's response for response against a user query. More specifically, we will run benchmarks usi... | llama_index/docs/examples/evaluation/mt_bench_single_grading.ipynb/0 | {
"file_path": "llama_index/docs/examples/evaluation/mt_bench_single_grading.ipynb",
"repo_id": "llama_index",
"token_count": 1735
} | 1,184 |
from langchain.prompts.prompt import __all__
EXPECTED_ALL = ["Prompt", "PromptTemplate"]
def test_all_imports() -> None:
assert set(__all__) == set(EXPECTED_ALL)
| langchain/libs/langchain/tests/unit_tests/prompts/test_prompt.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/prompts/test_prompt.py",
"repo_id": "langchain",
"token_count": 65
} | 665 |
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