text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
# CSP-ResNeXt
**CSPResNeXt** is a convolutional neural network where we apply the Cross Stage Partial Network (CSPNet) approach to [ResNeXt](https://paperswithcode.com/method/resnext). The CSPNet partitions the feature map of the base layer into two parts and then merges them through a cross-stage hierarchy. The use o... | pytorch-image-models/docs/models/csp-resnext.md/0 | {
"file_path": "pytorch-image-models/docs/models/csp-resnext.md",
"repo_id": "pytorch-image-models",
"token_count": 1722
} | 351 |
use async_trait::async_trait;
use figment::providers::{Env, Format, Serialized, Yaml};
use serde::Deserialize;
use crate::errors::ChromaError;
const DEFAULT_CONFIG_PATH: &str = "./chroma_config.yaml";
const ENV_PREFIX: &str = "CHROMA_";
#[derive(Deserialize)]
/// # Description
/// The RootConfig for all chroma servi... | chroma/rust/worker/src/config.rs/0 | {
"file_path": "chroma/rust/worker/src/config.rs",
"repo_id": "chroma",
"token_count": 6460
} | 59 |
# LangGraph
# 🦜🕸️LangGraph.js
⚡ Building language agents as graphs ⚡
## Overview
LangGraph is a library for building stateful, multi-actor applications with LLMs, built on top of (and intended to be used with) [LangChain.js](https://github.com/langchain-ai/langchainjs).
It extends the [LangChain Expression Langua... | langchainjs/docs/core_docs/docs/langgraph.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/langgraph.mdx",
"repo_id": "langchainjs",
"token_count": 5863
} | 747 |
"""Question answering over a knowledge graph."""
| langchain/libs/langchain/langchain/chains/graph_qa/__init__.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chains/graph_qa/__init__.py",
"repo_id": "langchain",
"token_count": 10
} | 503 |
import type { Redis } from "ioredis";
import { BaseStore } from "@langchain/core/stores";
/**
* Class that extends the BaseStore class to interact with a Redis
* database. It provides methods for getting, setting, and deleting data,
* as well as yielding keys from the database.
* @example
* ```typescript
* cons... | langchainjs/libs/langchain-community/src/storage/ioredis.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/storage/ioredis.ts",
"repo_id": "langchainjs",
"token_count": 1705
} | 1,034 |
import { describe, test, expect } from "@jest/globals";
import { Document } from "@langchain/core/documents";
import { GoogleCloudStorageDocstore } from "../gcs.js";
describe.skip("GoogleCloudStorageDocstore", () => {
const bucket = "INSERT_BUCKET_HERE";
test("save", async () => {
const name = "test1";
co... | langchainjs/langchain/src/stores/doc/tests/gcs.int.test.ts/0 | {
"file_path": "langchainjs/langchain/src/stores/doc/tests/gcs.int.test.ts",
"repo_id": "langchainjs",
"token_count": 749
} | 1,018 |
# coding=utf-8
# Copyright 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 requir... | transformers/src/transformers/models/vision_text_dual_encoder/configuration_vision_text_dual_encoder.py/0 | {
"file_path": "transformers/src/transformers/models/vision_text_dual_encoder/configuration_vision_text_dual_encoder.py",
"repo_id": "transformers",
"token_count": 1524
} | 683 |
from llama_index.llms.localai.base import LocalAI
__all__ = ["LocalAI"]
| llama_index/llama-index-integrations/llms/llama-index-llms-localai/llama_index/llms/localai/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-localai/llama_index/llms/localai/__init__.py",
"repo_id": "llama_index",
"token_count": 27
} | 1,286 |
import tempfile
import numpy as np
import torch
from transformers import AutoTokenizer, T5EncoderModel
from diffusers import DDPMScheduler, UNet2DConditionModel
from diffusers.models.attention_processor import AttnAddedKVProcessor
from diffusers.pipelines.deepfloyd_if import IFWatermarker
from diffusers.utils.testing... | diffusers/tests/pipelines/deepfloyd_if/__init__.py/0 | {
"file_path": "diffusers/tests/pipelines/deepfloyd_if/__init__.py",
"repo_id": "diffusers",
"token_count": 4583
} | 277 |
from functools import total_ordering
import torch
from abc import ABC, abstractmethod
from dataclasses import dataclass
from typing import List, Optional
from transformers import PreTrainedTokenizerBase
from text_generation_server.pb import generate_pb2
from text_generation_server.pb.generate_pb2 import FinishReason... | text-generation-inference/server/text_generation_server/models/types.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/models/types.py",
"repo_id": "text-generation-inference",
"token_count": 1183
} | 448 |
import typing
# It's currently impossible to support mypy for both pydantic v1 and v2 at once:
# https://github.com/pydantic/pydantic/issues/6022
#
# In the lint environment, pydantic is currently v1.
# When we upgrade it to pydantic v2, we'll need
# to replace this with `from pydantic.v1.main import *`.
if typing.TYP... | langchain/libs/experimental/langchain_experimental/pydantic_v1/main.py/0 | {
"file_path": "langchain/libs/experimental/langchain_experimental/pydantic_v1/main.py",
"repo_id": "langchain",
"token_count": 194
} | 447 |
python_sources()
| llama_index/llama-index-core/llama_index/core/command_line/new_package/BUILD/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/command_line/new_package/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,165 |
/* eslint-disable no-promise-executor-return */
/* eslint-disable @typescript-eslint/no-explicit-any */
import { test } from "@jest/globals";
import { RunnableLambda } from "../base.js";
test("RunnableRetry invoke", async () => {
let attemptCount = 0;
const runnable = new RunnableLambda({
func: (_thing: unkno... | langchainjs/langchain-core/src/runnables/tests/runnable_retry.test.ts/0 | {
"file_path": "langchainjs/langchain-core/src/runnables/tests/runnable_retry.test.ts",
"repo_id": "langchainjs",
"token_count": 857
} | 859 |
<!--Copyright 2023 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/ja/model_doc/bark.md/0 | {
"file_path": "transformers/docs/source/ja/model_doc/bark.md",
"repo_id": "transformers",
"token_count": 3181
} | 544 |
# # Ensemble Adversarial Inception ResNet v2
**Inception-ResNet-v2** is a convolutional neural architecture that builds on the Inception family of architectures but incorporates [residual connections](https://paperswithcode.com/method/residual-connection) (replacing the filter concatenation stage of the Inception arch... | pytorch-image-models/docs/models/ensemble-adversarial.md/0 | {
"file_path": "pytorch-image-models/docs/models/ensemble-adversarial.md",
"repo_id": "pytorch-image-models",
"token_count": 2206
} | 351 |
import pytest
import logging
import hypothesis.strategies as st
from hypothesis import given
from typing import Dict, Set, cast, Union, DefaultDict, Any, List
from dataclasses import dataclass
from chromadb.api.types import ID, Include, IDs, validate_embeddings
import chromadb.errors as errors
from chromadb.api import ... | chroma/chromadb/test/property/test_embeddings.py/0 | {
"file_path": "chroma/chromadb/test/property/test_embeddings.py",
"repo_id": "chroma",
"token_count": 7767
} | 25 |
# 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/utils/notification_service.py/0 | {
"file_path": "transformers/utils/notification_service.py",
"repo_id": "transformers",
"token_count": 21515
} | 778 |
# 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/regnet/test_modeling_flax_regnet.py/0 | {
"file_path": "transformers/tests/models/regnet/test_modeling_flax_regnet.py",
"repo_id": "transformers",
"token_count": 3717
} | 746 |
<!--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/pt/quicktour.md/0 | {
"file_path": "transformers/docs/source/pt/quicktour.md",
"repo_id": "transformers",
"token_count": 6106
} | 508 |
from typing import TYPE_CHECKING
from ...utils import (
DIFFUSERS_SLOW_IMPORT,
OptionalDependencyNotAvailable,
_LazyModule,
get_objects_from_module,
is_flax_available,
is_torch_available,
is_transformers_available,
)
_dummy_objects = {}
_additional_imports = {}
_import_structure = {"pipel... | diffusers/src/diffusers/pipelines/stable_diffusion_xl/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/stable_diffusion_xl/__init__.py",
"repo_id": "diffusers",
"token_count": 1202
} | 246 |
import { ChainValues } from "@langchain/core/utils/types";
import {
CallbackManagerForChainRun,
Callbacks,
} from "@langchain/core/callbacks/manager";
import { BaseChain, ChainInputs } from "../../chains/base.js";
/**
* A type that represents the inputs for the MultiRouteChain. It is a
* recursive type that can ... | langchainjs/langchain/src/chains/router/multi_route.ts/0 | {
"file_path": "langchainjs/langchain/src/chains/router/multi_route.ts",
"repo_id": "langchainjs",
"token_count": 1246
} | 866 |
# coding=utf-8
# Copyright 2018 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/convert_slow_tokenizers_checkpoints_to_fast.py/0 | {
"file_path": "transformers/src/transformers/convert_slow_tokenizers_checkpoints_to_fast.py",
"repo_id": "transformers",
"token_count": 1993
} | 592 |
apiVersion: chaos-mesh.org/v1alpha1
kind: NetworkChaos
metadata:
name: test-etcd-network-partition
namespace: chaos-testing
spec:
action: partition
mode: all
selector:
namespaces:
- chaos-testing
labelSelectors:
app.kubernetes.io/instance: chaos-testing
app.kubernetes.io/name: milvus... | milvus/tests/python_client/chaos/chaos_objects/network_partition/chaos_etcd_network_partition.yaml/0 | {
"file_path": "milvus/tests/python_client/chaos/chaos_objects/network_partition/chaos_etcd_network_partition.yaml",
"repo_id": "milvus",
"token_count": 228
} | 2,023 |
# 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/src/transformers/models/flava/__init__.py/0 | {
"file_path": "transformers/src/transformers/models/flava/__init__.py",
"repo_id": "transformers",
"token_count": 1213
} | 606 |
// 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/mq/msgstream/mqwrapper/nmq/nmq_client_test.go/0 | {
"file_path": "milvus/pkg/mq/msgstream/mqwrapper/nmq/nmq_client_test.go",
"repo_id": "milvus",
"token_count": 2785
} | 2,096 |
<!--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/tasks/multiple_choice.md/0 | {
"file_path": "transformers/docs/source/es/tasks/multiple_choice.md",
"repo_id": "transformers",
"token_count": 4153
} | 505 |
import { BaseRun, Run } from "langsmith/schemas";
import { BaseTracer } from "./base.js";
/**
* A callback handler that collects traced runs and makes it easy to fetch the traced run object from calls through any langchain object.
* For instance, it makes it easy to fetch the run ID and then do things with that, suc... | langchainjs/langchain-core/src/tracers/run_collector.ts/0 | {
"file_path": "langchainjs/langchain-core/src/tracers/run_collector.ts",
"repo_id": "langchainjs",
"token_count": 350
} | 883 |
import { defineConfig, Options } from 'tsup'
import fs from 'fs'
export default defineConfig((options: Options) => {
const commonOptions: Partial<Options> = {
entry: {
chromadb: 'src/index.ts'
},
sourcemap: true,
dts: true,
...options
}
return [
{
...commonOptions,
form... | chroma/clients/js/tsup.config.ts/0 | {
"file_path": "chroma/clients/js/tsup.config.ts",
"repo_id": "chroma",
"token_count": 327
} | 36 |
[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 = ["AzureAISearchVectorStore", "CognitiveSearchVectorStore", "IndexManagement"]
contains_exam... | llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-azureaisearch/pyproject.toml/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-azureaisearch/pyproject.toml",
"repo_id": "llama_index",
"token_count": 674
} | 1,545 |
# Copyright 2024 Stanford University 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
#
#... | diffusers/src/diffusers/pipelines/latent_consistency_models/pipeline_latent_consistency_img2img.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/latent_consistency_models/pipeline_latent_consistency_img2img.py",
"repo_id": "diffusers",
"token_count": 21123
} | 259 |
# Copyright 2023 EleutherAI and The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/src/transformers/models/deprecated/open_llama/__init__.py/0 | {
"file_path": "transformers/src/transformers/models/deprecated/open_llama/__init__.py",
"repo_id": "transformers",
"token_count": 1041
} | 590 |
<!--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/bloom.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/bloom.md",
"repo_id": "transformers",
"token_count": 1158
} | 499 |
<jupyter_start><jupyter_text>Cohere Reranker>[Cohere](https://cohere.ai/about) is a Canadian startup that provides natural language processing models that help companies improve human-machine interactions.This notebook shows how to use [Cohere's rerank endpoint](https://docs.cohere.com/docs/reranking) in a retriever. T... | langchain/docs/docs/integrations/retrievers/cohere-reranker.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/retrievers/cohere-reranker.ipynb",
"repo_id": "langchain",
"token_count": 1380
} | 167 |
use super::{super::OrderedVocabIter, trainer::BpeTrainer, Error, Pair, Word};
use crate::tokenizer::{Model, Result, Token};
use crate::utils::cache::{Cache, DEFAULT_CACHE_CAPACITY};
use crate::utils::iter::ResultShunt;
use serde_json::Value;
use std::borrow::Cow;
use std::{
collections::HashMap,
fs::File,
i... | tokenizers/tokenizers/src/models/bpe/model.rs/0 | {
"file_path": "tokenizers/tokenizers/src/models/bpe/model.rs",
"repo_id": "tokenizers",
"token_count": 15137
} | 452 |
python_sources()
| llama_index/llama-index-core/llama_index/core/readers/BUILD/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/readers/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,138 |
python_tests()
| llama_index/llama-index-integrations/readers/llama-index-readers-pdb/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-pdb/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,359 |
from typing import Any, List, Optional
from langchain_core.language_models.chat_models import BaseChatModel
from langchain_core.messages import AIMessage, BaseMessage
from langchain_core.outputs import ChatGeneration, ChatResult
from pytest_mock import MockerFixture
from syrupy import SnapshotAssertion
from langchain... | langchain/libs/langchain/tests/unit_tests/runnables/test_openai_functions.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/runnables/test_openai_functions.py",
"repo_id": "langchain",
"token_count": 1568
} | 639 |
#! /bin/bash
GO_DIFF_FILES=""
while read -r line; do
export GO_DIFF_FILES="$GO_DIFF_FILES $line"
done <<< "$(git diff --name-only --diff-filter=d HEAD "*.go")"
make fmt
| milvus/githooks/pre-commit/fmt/0 | {
"file_path": "milvus/githooks/pre-commit/fmt",
"repo_id": "milvus",
"token_count": 77
} | 1,635 |
#!/usr/bin/env python
"""Example LangChain Server that runs a local llm.
**Attention** This is OK for prototyping / dev usage, but should not be used
for production cases when there might be concurrent requests from different
users. As of the time of writing, Ollama is designed for single user and cannot
handle concur... | langserve/examples/local_llm/server.py/0 | {
"file_path": "langserve/examples/local_llm/server.py",
"repo_id": "langserve",
"token_count": 333
} | 998 |
# SPNASNet
**Single-Path NAS** is a novel differentiable NAS method for designing hardware-efficient ConvNets in less than 4 hours.
## How do I use this model on an image?
To load a pretrained model:
```python
import timm
model = timm.create_model('spnasnet_100', pretrained=True)
model.eval()
```
To load and prepro... | pytorch-image-models/docs/models/spnasnet.md/0 | {
"file_path": "pytorch-image-models/docs/models/spnasnet.md",
"repo_id": "pytorch-image-models",
"token_count": 1505
} | 369 |
from llama_index.core.base.embeddings.base import BaseEmbedding
from llama_index.embeddings.adapter import AdapterEmbeddingModel
def test_class():
names_of_base_classes = [b.__name__ for b in AdapterEmbeddingModel.__mro__]
assert BaseEmbedding.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/embeddings/llama-index-embeddings-adapter/tests/test_embeddings_adapter.py/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-adapter/tests/test_embeddings_adapter.py",
"repo_id": "llama_index",
"token_count": 100
} | 1,300 |
# EARNING CALL TRANSCRIPTS LOADER
This loader fetches the earning call transcripts of US based companies from the website [discountingcashflows.com](https://discountingcashflows.com/). It is not available for commercial purposes
Install the required dependencies
```
pip install -r requirements.txt
```
The Earning c... | llama_index/llama-index-integrations/readers/llama-index-readers-earnings-call-transcript/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-earnings-call-transcript/README.md",
"repo_id": "llama_index",
"token_count": 636
} | 1,360 |
<jupyter_start><jupyter_text>If you're opening this Notebook on colab, you will probably need to install the most recent versions of 🤗 Transformers and 🤗 Datasets. We will also need `scipy` and `scikit-learn` for some of the metrics. Uncomment the following cell and run it.<jupyter_code>#! pip install transformers
#!... | notebooks/examples/text_classification-tf.ipynb/0 | {
"file_path": "notebooks/examples/text_classification-tf.ipynb",
"repo_id": "notebooks",
"token_count": 8177
} | 313 |
// 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/VectorTrait.h/0 | {
"file_path": "milvus/internal/core/src/common/VectorTrait.h",
"repo_id": "milvus",
"token_count": 1289
} | 1,747 |
"""Util that calls OpenWeatherMap using PyOWM."""
from typing import Any, Dict, Optional
from langchain_core.pydantic_v1 import BaseModel, Extra, root_validator
from langchain_core.utils import get_from_dict_or_env
class OpenWeatherMapAPIWrapper(BaseModel):
"""Wrapper for OpenWeatherMap API using PyOWM.
Doc... | langchain/libs/community/langchain_community/utilities/openweathermap.py/0 | {
"file_path": "langchain/libs/community/langchain_community/utilities/openweathermap.py",
"repo_id": "langchain",
"token_count": 1100
} | 307 |
python_sources()
| llama_index/llama-index-integrations/tools/llama-index-tools-google/llama_index/tools/google/calendar/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-google/llama_index/tools/google/calendar/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,424 |
apiVersion: v1
kind: Pod
metadata:
labels:
app: milvus
componet: testframework
spec:
containers:
- name: milvus-testframework
image: registry.milvus.io/milvus/milvus-test:v0.2
command:
- cat
tty: true
| milvus/tests/benchmark/ci/pod_containers/milvus-testframework.yaml/0 | {
"file_path": "milvus/tests/benchmark/ci/pod_containers/milvus-testframework.yaml",
"repo_id": "milvus",
"token_count": 101
} | 1,922 |
"""Program utils."""
import warnings
from typing import Any, List, Type
from llama_index.core.bridge.pydantic import BaseModel, Field, create_model
from llama_index.core.llms.llm import LLM
from llama_index.core.output_parsers.pydantic import PydanticOutputParser
from llama_index.core.prompts.base import PromptTempla... | llama_index/llama-index-core/llama_index/core/program/utils.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/program/utils.py",
"repo_id": "llama_index",
"token_count": 1710
} | 1,206 |
// 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/undo.go/0 | {
"file_path": "milvus/internal/rootcoord/undo.go",
"repo_id": "milvus",
"token_count": 688
} | 1,924 |
# Optimum-intel
All functionality related to the [optimum-intel](https://github.com/huggingface/optimum-intel.git) and [IPEX](https://github.com/intel/intel-extension-for-pytorch).
## Installation
Install using optimum-intel and ipex using:
```bash
pip install optimum[neural-compressor]
pip install intel_extension_... | langchain/docs/docs/integrations/providers/optimum_intel.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/optimum_intel.mdx",
"repo_id": "langchain",
"token_count": 300
} | 145 |
interactions:
- request:
body: '{"input": [[8134], [2308], [43673]], "encoding_format": "base64"}'
headers:
Accept:
- '*/*'
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '65'
Content-Type:
- application/json
User-Age... | langchain/libs/community/tests/integration_tests/vectorstores/cassettes/test_weaviate/TestWeaviate.test_max_marginal_relevance_search_by_vector.yaml/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/vectorstores/cassettes/test_weaviate/TestWeaviate.test_max_marginal_relevance_search_by_vector.yaml",
"repo_id": "langchain",
"token_count": 30055
} | 348 |
from typing import Any, Callable, List, Protocol, Tuple, runtime_checkable
from llama_index.legacy.vector_stores.types import VectorStoreQueryResult
SparseEncoderCallable = Callable[[List[str]], Tuple[List[List[int]], List[List[float]]]]
@runtime_checkable
class HybridFusionCallable(Protocol):
"""Hybrid fusion ... | llama_index/llama-index-legacy/llama_index/legacy/vector_stores/qdrant_utils.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/vector_stores/qdrant_utils.py",
"repo_id": "llama_index",
"token_count": 2485
} | 1,787 |
import { base } from "$app/paths";
import { ENABLE_ASSISTANTS } from "$env/static/private";
import { collections } from "$lib/server/database.js";
import type { Assistant } from "$lib/types/Assistant";
import type { User } from "$lib/types/User";
import { error, redirect } from "@sveltejs/kit";
import type { Filter } f... | chat-ui/src/routes/assistants/+page.server.ts/0 | {
"file_path": "chat-ui/src/routes/assistants/+page.server.ts",
"repo_id": "chat-ui",
"token_count": 603
} | 102 |
<script lang="ts">
import { enhance } from "$app/forms";
import { base } from "$app/paths";
import { page } from "$app/stores";
import { PUBLIC_ORIGIN, PUBLIC_SHARE_PREFIX } from "$env/static/public";
import { useSettingsStore } from "$lib/stores/settings";
import type { PageData } from "./$types";
import Carbo... | chat-ui/src/routes/settings/assistants/[assistantId]/+page.svelte/0 | {
"file_path": "chat-ui/src/routes/settings/assistants/[assistantId]/+page.svelte",
"repo_id": "chat-ui",
"token_count": 2186
} | 105 |
import json
import mimetypes
import os
from string import Template
from typing import Sequence, Type
from fastapi.responses import Response
from langchain.schema.runnable import Runnable
from langserve.pydantic_v1 import BaseModel
class PlaygroundTemplate(Template):
delimiter = "____"
def _get_mimetype(path: ... | langserve/langserve/playground.py/0 | {
"file_path": "langserve/langserve/playground.py",
"repo_id": "langserve",
"token_count": 1313
} | 1,027 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/pkg/tracer/stack_trace.go/0 | {
"file_path": "milvus/pkg/tracer/stack_trace.go",
"repo_id": "milvus",
"token_count": 436
} | 1,926 |
from llama_index.readers.file.image_deplot.base import (
ImageTabularChartReader,
)
__all__ = ["ImageTabularChartReader"]
| llama_index/llama-index-integrations/readers/llama-index-readers-file/llama_index/readers/file/image_deplot/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-file/llama_index/readers/file/image_deplot/__init__.py",
"repo_id": "llama_index",
"token_count": 45
} | 1,490 |
import multiprocessing
import re
from typing import Any, Callable, Dict, Union
from chromadb.types import Metadata
Validator = Callable[[Union[str, int, float]], bool]
param_validators: Dict[str, Validator] = {
"hnsw:space": lambda p: bool(re.match(r"^(l2|cosine|ip)$", str(p))),
"hnsw:construction_ef": lamb... | chroma/chromadb/segment/impl/vector/hnsw_params.py/0 | {
"file_path": "chroma/chromadb/segment/impl/vector/hnsw_params.py",
"repo_id": "chroma",
"token_count": 1289
} | 19 |
import { ChatMinimax } from "@langchain/community/chat_models/minimax";
import {
ChatPromptTemplate,
HumanMessagePromptTemplate,
} from "@langchain/core/prompts";
import { HumanMessage } from "@langchain/core/messages";
const model = new ChatMinimax({
modelName: "abab5.5-chat",
botSetting: [
{
bot_na... | langchainjs/examples/src/models/chat/minimax_glyph.ts/0 | {
"file_path": "langchainjs/examples/src/models/chat/minimax_glyph.ts",
"repo_id": "langchainjs",
"token_count": 1237
} | 826 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/util/importutil/numpy_adapter_test.go/0 | {
"file_path": "milvus/internal/util/importutil/numpy_adapter_test.go",
"repo_id": "milvus",
"token_count": 9441
} | 2,019 |
# Copyright 2023 Mistral AI and The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/src/transformers/models/mistral/convert_mistral_weights_to_hf.py/0 | {
"file_path": "transformers/src/transformers/models/mistral/convert_mistral_weights_to_hf.py",
"repo_id": "transformers",
"token_count": 4616
} | 693 |
"""Web scraper."""
import logging
from typing import Any, Callable, Dict, List, Optional, Tuple
import requests
from llama_index.legacy.bridge.pydantic import PrivateAttr
from llama_index.legacy.readers.base import BasePydanticReader
from llama_index.legacy.schema import Document
logger = logging.getLogger(__name__... | llama_index/llama-index-legacy/llama_index/legacy/readers/web.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/readers/web.py",
"repo_id": "llama_index",
"token_count": 4210
} | 1,708 |
from typing import cast, ClassVar
from chromadb.telemetry.product import ProductTelemetryEvent
from chromadb.utils.embedding_functions import get_builtins
class ClientStartEvent(ProductTelemetryEvent):
def __init__(self) -> None:
super().__init__()
class ClientCreateCollectionEvent(ProductTelemetryEvent... | chroma/chromadb/telemetry/product/events.py/0 | {
"file_path": "chroma/chromadb/telemetry/product/events.py",
"repo_id": "chroma",
"token_count": 3453
} | 21 |
python_sources()
| llama_index/llama-index-legacy/llama_index/legacy/composability/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/composability/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,695 |
from __future__ import annotations
from io import IOBase
from typing import TYPE_CHECKING, Any, List, Optional, Union
from langchain_experimental.agents.agent_toolkits.pandas.base import (
create_pandas_dataframe_agent,
)
if TYPE_CHECKING:
from langchain.agents.agent import AgentExecutor
from langchain_c... | langchain/libs/experimental/langchain_experimental/agents/agent_toolkits/csv/base.py/0 | {
"file_path": "langchain/libs/experimental/langchain_experimental/agents/agent_toolkits/csv/base.py",
"repo_id": "langchain",
"token_count": 1006
} | 453 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/proxy/dummyreq_test.go/0 | {
"file_path": "milvus/internal/proxy/dummyreq_test.go",
"repo_id": "milvus",
"token_count": 2765
} | 1,960 |
---
sidebar_class_name: hidden
---
# XML Agent
:::caution
This is a legacy chain, it is not recommended for use. Instead, see docs for the [LCEL version](/docs/modules/agents/agent_types/xml).
:::
Some language models (like Anthropic's Claude) are particularly good at reasoning/writing XML.
The below example shows h... | langchainjs/docs/core_docs/docs/modules/agents/agent_types/xml_legacy.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/agents/agent_types/xml_legacy.mdx",
"repo_id": "langchainjs",
"token_count": 216
} | 723 |
# Conclusion [[conclusion]]
Congrats on finishing this unit and the tutorial. You've just trained your first virtual robots 🥳.
**Take time to grasp the material before continuing**. You can also look at the additional reading materials we provided in the *additional reading* section.
Finally, we would love **to hea... | deep-rl-class/units/en/unit6/conclusion.mdx/0 | {
"file_path": "deep-rl-class/units/en/unit6/conclusion.mdx",
"repo_id": "deep-rl-class",
"token_count": 145
} | 167 |
"""Relevancy evaluation."""
from __future__ import annotations
from typing import Any, List, Sequence, Union
from llama_index.core.evaluation.base import BaseEvaluator, EvaluationResult
from llama_index.core.multi_modal_llms.base import MultiModalLLM
from llama_index.core.prompts import BasePromptTemplate, PromptTem... | llama_index/llama-index-core/llama_index/core/evaluation/multi_modal/relevancy.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/evaluation/multi_modal/relevancy.py",
"repo_id": "llama_index",
"token_count": 3306
} | 1,123 |
"""Image parser.
Contains parsers for image files.
"""
import re
from pathlib import Path
from typing import Dict, List, Optional
from llama_index.core.readers.base import BaseReader
from llama_index.core.schema import Document, ImageDocument
from llama_index.core.utils import infer_torch_device
class ImageReader... | llama_index/llama-index-integrations/readers/llama-index-readers-file/llama_index/readers/file/image/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-file/llama_index/readers/file/image/base.py",
"repo_id": "llama_index",
"token_count": 1881
} | 1,401 |
<!--Copyright 2020 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/en/main_classes/output.md/0 | {
"file_path": "transformers/docs/source/en/main_classes/output.md",
"repo_id": "transformers",
"token_count": 2777
} | 468 |
<jupyter_start><jupyter_text>MistralAIEmbeddingsThis notebook explains how to use MistralAIEmbeddings, which is included in the langchain_mistralai package, to embed texts in langchain.<jupyter_code># pip install -U langchain-mistralai<jupyter_output><empty_output><jupyter_text>import the library<jupyter_code>from lang... | langchain/libs/partners/mistralai/docs/embeddings.ipynb/0 | {
"file_path": "langchain/libs/partners/mistralai/docs/embeddings.ipynb",
"repo_id": "langchain",
"token_count": 276
} | 631 |
<jupyter_start><jupyter_text>Chat Engine - Condense Plus Context Mode This is a multi-step chat mode built on top of a retriever over your data. For each chat interaction:* First condense a conversation and latest user message to a standalone question* Then build a context for the standalone question from a retriever,*... | llama_index/docs/examples/chat_engine/chat_engine_condense_plus_context.ipynb/0 | {
"file_path": "llama_index/docs/examples/chat_engine/chat_engine_condense_plus_context.ipynb",
"repo_id": "llama_index",
"token_count": 1866
} | 1,094 |
import typing
# It's currently impossible to support mypy for both pydantic v1 and v2 at once:
# https://github.com/pydantic/pydantic/issues/6022
#
# In the lint environment, pydantic is currently v1.
# When we upgrade it to pydantic v2, we'll need to
# replace this with `from pydantic.v1.dataclasses import *`.
if typ... | langchain/libs/experimental/langchain_experimental/pydantic_v1/dataclasses.py/0 | {
"file_path": "langchain/libs/experimental/langchain_experimental/pydantic_v1/dataclasses.py",
"repo_id": "langchain",
"token_count": 202
} | 453 |
""" MLP module w/ dropout and configurable activation layer
Hacked together by / Copyright 2020 Ross Wightman
"""
from functools import partial
from torch import nn as nn
from .grn import GlobalResponseNorm
from .helpers import to_2tuple
class Mlp(nn.Module):
""" MLP as used in Vision Transformer, MLP-Mixer an... | pytorch-image-models/timm/layers/mlp.py/0 | {
"file_path": "pytorch-image-models/timm/layers/mlp.py",
"repo_id": "pytorch-image-models",
"token_count": 4251
} | 394 |
# Lint as: python3
""" HuggingFace/Datasets is an open library of datasets.
Note:
VERSION needs to be formatted following the MAJOR.MINOR.PATCH convention
(we need to follow this convention to be able to retrieve versioned scripts)
Simple check list for release from AllenNLP repo: https://github.com/allenai/al... | datasets/setup.py/0 | {
"file_path": "datasets/setup.py",
"repo_id": "datasets",
"token_count": 4179
} | 133 |
# Chain-of-Note (Wikipedia)
Implements Chain-of-Note as described in https://arxiv.org/pdf/2311.09210.pdf by Yu, et al. Uses Wikipedia for retrieval.
Check out the prompt being used here https://smith.langchain.com/hub/bagatur/chain-of-note-wiki.
## Environment Setup
Uses Anthropic claude-2 chat model. Set Anthropi... | langchain/templates/chain-of-note-wiki/README.md/0 | {
"file_path": "langchain/templates/chain-of-note-wiki/README.md",
"repo_id": "langchain",
"token_count": 680
} | 630 |
python_sources()
| llama_index/llama-index-integrations/llms/llama-index-llms-mistralai/llama_index/llms/mistralai/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-mistralai/llama_index/llms/mistralai/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,404 |
from __future__ import annotations
import json
from typing import Dict, List, Optional
import aiohttp
import requests
from langchain_core.callbacks import (
AsyncCallbackManagerForRetrieverRun,
CallbackManagerForRetrieverRun,
)
from langchain_core.documents import Document
from langchain_core.pydantic_v1 impo... | langchain/libs/community/langchain_community/retrievers/azure_cognitive_search.py/0 | {
"file_path": "langchain/libs/community/langchain_community/retrievers/azure_cognitive_search.py",
"repo_id": "langchain",
"token_count": 1718
} | 295 |
// 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/storage/ChunkCache.h/0 | {
"file_path": "milvus/internal/core/src/storage/ChunkCache.h",
"repo_id": "milvus",
"token_count": 875
} | 1,663 |
# Bitbucket Loader
This loader utilizes the Bitbucket API to load the files inside a Bitbucket repository as Documents in an index.
## Usage
To use this loader, you need to provide as environment variables the `BITBUCKET_API_KEY` and the `BITBUCKET_USERNAME`.
```python
import os
from llama_index import VectorStoreI... | llama_index/llama-index-integrations/readers/llama-index-readers-bitbucket/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-bitbucket/README.md",
"repo_id": "llama_index",
"token_count": 429
} | 1,343 |
Pandas Query Engine
=======================
.. automodule:: llama_index.core.query_engine.pandas.pandas_query_engine
:members:
:inherited-members:
| llama_index/docs/api_reference/query/query_engines/pandas_query_engine.rst/0 | {
"file_path": "llama_index/docs/api_reference/query/query_engines/pandas_query_engine.rst",
"repo_id": "llama_index",
"token_count": 54
} | 1,161 |
# coding=utf-8
# Copyright 2018 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/longformer/convert_longformer_original_pytorch_lightning_to_pytorch.py/0 | {
"file_path": "transformers/src/transformers/models/longformer/convert_longformer_original_pytorch_lightning_to_pytorch.py",
"repo_id": "transformers",
"token_count": 1071
} | 651 |
# coding=utf-8
# Copyright 2022 Meta Platforms and The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICEN... | transformers/src/transformers/models/data2vec/modeling_data2vec_vision.py/0 | {
"file_path": "transformers/src/transformers/models/data2vec/modeling_data2vec_vision.py",
"repo_id": "transformers",
"token_count": 22669
} | 618 |
import { loadQARefineChain } from "langchain/chains";
import { OpenAI, OpenAIEmbeddings } from "@langchain/openai";
import { TextLoader } from "langchain/document_loaders/fs/text";
import { MemoryVectorStore } from "langchain/vectorstores/memory";
// Create the models and chain
const embeddings = new OpenAIEmbeddings(... | langchainjs/examples/src/chains/qa_refine.ts/0 | {
"file_path": "langchainjs/examples/src/chains/qa_refine.ts",
"repo_id": "langchainjs",
"token_count": 442
} | 790 |
python_tests()
| llama_index/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-azure-openai/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-azure-openai/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,427 |
import boto3
import json
import subprocess
import os
import re
def b64text(txt):
"""Generate Base 64 encoded CF json for a multiline string, subbing in values where appropriate"""
lines = []
for line in txt.splitlines(True):
if "${" in line:
lines.append({"Fn::Sub": line})
else... | chroma/bin/generate_cloudformation.py/0 | {
"file_path": "chroma/bin/generate_cloudformation.py",
"repo_id": "chroma",
"token_count": 3118
} | 11 |
# LlamaIndex Vector_Stores Integration: Dynamodb
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-dynamodb/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-dynamodb/README.md",
"repo_id": "llama_index",
"token_count": 14
} | 1,524 |
import inspect
from typing import Any, Dict, List, Optional, Union
import torch
import torch.nn as nn
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor
from diffusers import DiffusionPipeline
from diffusers.image_processor import VaeImageProcessor
from diffusers.loaders import LoraLoaderMixin
from... | diffusers/examples/community/gluegen.py/0 | {
"file_path": "diffusers/examples/community/gluegen.py",
"repo_id": "diffusers",
"token_count": 17627
} | 198 |
from langchain_community.tools.google_scholar.tool import GoogleScholarQueryRun
__all__ = ["GoogleScholarQueryRun"]
| langchain/libs/langchain/langchain/tools/google_scholar/tool.py/0 | {
"file_path": "langchain/libs/langchain/langchain/tools/google_scholar/tool.py",
"repo_id": "langchain",
"token_count": 34
} | 590 |
"""Test tools."""
import json
from typing import List, Optional
import pytest
from llama_index.core.bridge.pydantic import BaseModel
from llama_index.core.tools.function_tool import FunctionTool
try:
import langchain
except ImportError:
langchain = None # type: ignore
def tmp_function(x: int) -> str:
r... | llama_index/llama-index-core/tests/tools/test_base.py/0 | {
"file_path": "llama_index/llama-index-core/tests/tools/test_base.py",
"repo_id": "llama_index",
"token_count": 2586
} | 1,279 |
from llama_index.core.readers.base import BaseReader
from llama_index.readers.wikipedia import WikipediaReader
def test_class():
names_of_base_classes = [b.__name__ for b in WikipediaReader.__mro__]
assert BaseReader.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/readers/llama-index-readers-wikipedia/tests/test_readers_wikipedia.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-wikipedia/tests/test_readers_wikipedia.py",
"repo_id": "llama_index",
"token_count": 85
} | 1,398 |
# 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/timesformer/configuration_timesformer.py/0 | {
"file_path": "transformers/src/transformers/models/timesformer/configuration_timesformer.py",
"repo_id": "transformers",
"token_count": 2112
} | 739 |
"""Azure AI Search vector store."""
import enum
import json
import logging
from enum import auto
from typing import Any, Callable, Dict, List, Optional, Tuple, Union, cast
from llama_index.core.schema import BaseNode, MetadataMode, TextNode
from llama_index.core.vector_stores.types import (
ExactMatchFilter,
M... | llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-azureaisearch/llama_index/vector_stores/azureaisearch/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-azureaisearch/llama_index/vector_stores/azureaisearch/base.py",
"repo_id": "llama_index",
"token_count": 13632
} | 1,646 |
# (Gluon) SENet
A **SENet** is a convolutional neural network architecture that employs [squeeze-and-excitation blocks](https://paperswithcode.com/method/squeeze-and-excitation-block) to enable the network to perform dynamic channel-wise feature recalibration.
The weights from this model were ported from [Gluon](http... | pytorch-image-models/docs/models/gloun-senet.md/0 | {
"file_path": "pytorch-image-models/docs/models/gloun-senet.md",
"repo_id": "pytorch-image-models",
"token_count": 1559
} | 365 |
from langchain_community.document_loaders.confluence import (
ConfluenceLoader,
ContentFormat,
)
__all__ = ["ContentFormat", "ConfluenceLoader"]
| langchain/libs/langchain/langchain/document_loaders/confluence.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/confluence.py",
"repo_id": "langchain",
"token_count": 48
} | 487 |
<jupyter_start><jupyter_text>Chat Executor: with function callingThis notebook walks through an example creating a chat executor that uses function calling.This is useful for getting started quickly.However, it is highly likely you will want to customize the logic - for information on that, check out the other examples... | langgraph/examples/chat_agent_executor_with_function_calling/high-level.ipynb/0 | {
"file_path": "langgraph/examples/chat_agent_executor_with_function_calling/high-level.ipynb",
"repo_id": "langgraph",
"token_count": 624
} | 989 |
"""Test Output parsers."""
import pytest
from llama_index.legacy.output_parsers.langchain import LangchainOutputParser
try:
import langchain
from llama_index.legacy.bridge.langchain import (
BaseOutputParser as LCOutputParser,
)
from llama_index.legacy.bridge.langchain import (
Respons... | llama_index/llama-index-legacy/tests/output_parsers/test_base.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/output_parsers/test_base.py",
"repo_id": "llama_index",
"token_count": 686
} | 1,751 |
# TODO: Consolidate all these scripts into a single script
# This is ugly
import argparse
from langchain.chat_models import ChatAnthropic, ChatOpenAI
from langchain.smith import RunEvalConfig
from langsmith import Client
# Ugly. Requires PYTHONATH=$(PWD) to run
from main import create_chain, get_retriever
_PROVIDER_... | chat-langchain/_scripts/evaluate_chat_langchain.py/0 | {
"file_path": "chat-langchain/_scripts/evaluate_chat_langchain.py",
"repo_id": "chat-langchain",
"token_count": 702
} | 5 |
// 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/querynodev2/segments/result_test.go/0 | {
"file_path": "milvus/internal/querynodev2/segments/result_test.go",
"repo_id": "milvus",
"token_count": 16150
} | 1,855 |
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