text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/datacoord/segment_info.go/0 | {
"file_path": "milvus/internal/datacoord/segment_info.go",
"repo_id": "milvus",
"token_count": 4206
} | 1,778 |
use pyo3::exceptions::PyValueError;
use pyo3::prelude::*;
pub fn wrap_err(err: ::candle::Error) -> PyErr {
PyErr::new::<PyValueError, _>(format!("{err:?}"))
}
| candle/candle-pyo3/src/utils.rs/0 | {
"file_path": "candle/candle-pyo3/src/utils.rs",
"repo_id": "candle",
"token_count": 74
} | 64 |
"""Wrapper for the Reddit API"""
from typing import Any, Dict, List, Optional
from langchain_core.pydantic_v1 import BaseModel, root_validator
from langchain_core.utils import get_from_dict_or_env
class RedditSearchAPIWrapper(BaseModel):
"""Wrapper for Reddit API
To use, set the environment variables ``RED... | langchain/libs/community/langchain_community/utilities/reddit_search.py/0 | {
"file_path": "langchain/libs/community/langchain_community/utilities/reddit_search.py",
"repo_id": "langchain",
"token_count": 2042
} | 308 |
// Copyright (C) 2019-2020 Zilliz. All rights reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance
// with the License. You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable l... | milvus/internal/core/src/query/visitors/ExecPlanNodeVisitor.cpp/0 | {
"file_path": "milvus/internal/core/src/query/visitors/ExecPlanNodeVisitor.cpp",
"repo_id": "milvus",
"token_count": 4876
} | 1,654 |
python_sources()
python_tests(
name="tests0",
)
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-astra/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-astra/tests/BUILD",
"repo_id": "llama_index",
"token_count": 23
} | 1,543 |
import { Index } from "@upstash/vector";
import { OpenAIEmbeddings } from "@langchain/openai";
import { UpstashVectorStore } from "@langchain/community/vectorstores/upstash";
const embeddings = new OpenAIEmbeddings({});
// Creating the index with the provided credentials.
const indexWithCredentials = new Index({
ur... | langchainjs/examples/src/indexes/vector_stores/upstash/create_client.ts/0 | {
"file_path": "langchainjs/examples/src/indexes/vector_stores/upstash/create_client.ts",
"repo_id": "langchainjs",
"token_count": 227
} | 882 |
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/src/transformers/models/pix2struct/configuration_pix2struct.py/0 | {
"file_path": "transformers/src/transformers/models/pix2struct/configuration_pix2struct.py",
"repo_id": "transformers",
"token_count": 6638
} | 645 |
from llama_index.core.program.llm_prompt_program import BaseLLMFunctionProgram
from llama_index.program.openai import OpenAIPydanticProgram
def test_class():
names_of_base_classes = [b.__name__ for b in OpenAIPydanticProgram.__mro__]
assert BaseLLMFunctionProgram.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/program/llama-index-program-openai/tests/test_program_openai.py/0 | {
"file_path": "llama_index/llama-index-integrations/program/llama-index-program-openai/tests/test_program_openai.py",
"repo_id": "llama_index",
"token_count": 104
} | 1,444 |
# Render.com Deployment
This is an example deployment to Render.com using [terraform](https://www.terraform.io/)
## Requirements
- [Terraform CLI v1.3.4+](https://developer.hashicorp.com/terraform/tutorials/gcp-get-started/install-cli)
- [Terraform Render provider](https://registry.terraform.io/providers/jackall3n/r... | chroma/examples/deployments/render-terraform/README.md/0 | {
"file_path": "chroma/examples/deployments/render-terraform/README.md",
"repo_id": "chroma",
"token_count": 936
} | 38 |
poetry_requirements(
name="poetry",
)
python_requirements(
name="reqs",
)
| llama_index/llama-index-integrations/readers/llama-index-readers-microsoft-outlook/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-microsoft-outlook/BUILD",
"repo_id": "llama_index",
"token_count": 36
} | 1,483 |
python_sources()
| llama_index/llama-index-integrations/tools/llama-index-tools-openapi/llama_index/tools/openapi/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-openapi/llama_index/tools/openapi/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,494 |
package planparserv2
import "github.com/milvus-io/milvus/internal/proto/planpb"
type LogicalExprVisitor interface {
VisitExpr(expr *planpb.Expr) interface{}
VisitTermExpr(expr *planpb.TermExpr) interface{}
VisitUnaryExpr(expr *planpb.UnaryExpr) interface{}
VisitBinaryExpr(expr *planpb.BinaryExpr) interface{}
Vis... | milvus/internal/parser/planparserv2/logical_expr_visitor.go/0 | {
"file_path": "milvus/internal/parser/planparserv2/logical_expr_visitor.go",
"repo_id": "milvus",
"token_count": 285
} | 1,818 |
# MobileNet v2
**MobileNetV2** is a convolutional neural network architecture that seeks to perform well on mobile devices. It is based on an [inverted residual structure](https://paperswithcode.com/method/inverted-residual-block) where the residual connections are between the bottleneck layers. The intermediate expa... | pytorch-image-models/hfdocs/source/models/mobilenet-v2.mdx/0 | {
"file_path": "pytorch-image-models/hfdocs/source/models/mobilenet-v2.mdx",
"repo_id": "pytorch-image-models",
"token_count": 3401
} | 374 |
from llama_index.readers.agent_search.base import AgentSearchReader
__all__ = ["AgentSearchReader"]
| llama_index/llama-index-integrations/readers/llama-index-readers-agent-search/llama_index/readers/agent_search/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-agent-search/llama_index/readers/agent_search/__init__.py",
"repo_id": "llama_index",
"token_count": 30
} | 1,447 |
import CodeBlock from "@theme/CodeBlock";
# Agent with Zapier NLA Integration
Full docs here: https://nla.zapier.com/start/
**Zapier Natural Language Actions** gives you access to the 5k+ apps and 20k+ actions on Zapier's platform through a natural language API interface.
NLA supports apps like Gmail, Salesforce, T... | langchainjs/docs/core_docs/docs/integrations/tools/zapier_agent.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/tools/zapier_agent.mdx",
"repo_id": "langchainjs",
"token_count": 503
} | 793 |
# coding=utf-8
# Copyright 2019-present, the HuggingFace Inc. team, The Google AI Language Team and Facebook, 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.or... | transformers/src/transformers/models/deprecated/retribert/configuration_retribert.py/0 | {
"file_path": "transformers/src/transformers/models/deprecated/retribert/configuration_retribert.py",
"repo_id": "transformers",
"token_count": 2013
} | 646 |
from __future__ import annotations
import os
import pickle
import uuid
from configparser import ConfigParser
from pathlib import Path
from typing import Any, Callable, Dict, Iterable, List, Optional, Tuple
import numpy as np
from langchain_core.documents import Document
from langchain_core.embeddings import Embedding... | langchain/libs/community/langchain_community/vectorstores/annoy.py/0 | {
"file_path": "langchain/libs/community/langchain_community/vectorstores/annoy.py",
"repo_id": "langchain",
"token_count": 7377
} | 325 |
# Integrations
LlamaIndex has a number of community integrations, from vector stores, to prompt trackers, tracers, and more!
## LlamaPacks -- Code Templates
LlamaHub hosts a full suite of LlamaPacks -- templates for features that you can download, edit, and try out! This offers a quick way to learn about new feature... | llama_index/docs/community/integrations.md/0 | {
"file_path": "llama_index/docs/community/integrations.md",
"repo_id": "llama_index",
"token_count": 830
} | 1,119 |
python_tests()
| llama_index/llama-index-integrations/embeddings/llama-index-embeddings-gradient/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-gradient/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,183 |
import argparse
import tempfile
import torch
from accelerate import load_checkpoint_and_dispatch
from diffusers.models.transformers.prior_transformer import PriorTransformer
from diffusers.pipelines.shap_e import ShapERenderer
"""
Example - From the diffusers root directory:
Download weights:
```sh
$ wget "https:... | diffusers/scripts/convert_shap_e_to_diffusers.py/0 | {
"file_path": "diffusers/scripts/convert_shap_e_to_diffusers.py",
"repo_id": "diffusers",
"token_count": 22932
} | 206 |
import random
from time import sleep
import pytest
import copy
from base.client_base import TestcaseBase
from base.index_wrapper import ApiIndexWrapper
from utils.util_log import test_log as log
from common import common_func as cf
from common import common_type as ct
from common.common_type import CaseLabel, CheckTas... | milvus/tests/python_client/testcases/test_index.py/0 | {
"file_path": "milvus/tests/python_client/testcases/test_index.py",
"repo_id": "milvus",
"token_count": 40478
} | 1,982 |
"""Simple reader that reads OSMmap data from overpass API."""
import random
import string
import warnings
from typing import List, Optional
from llama_index.core.readers.base import BaseReader
from llama_index.core.schema import Document
warnings.filterwarnings("ignore")
class OpenMap(BaseReader):
"""OpenMap R... | llama_index/llama-index-integrations/readers/llama-index-readers-maps/llama_index/readers/maps/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-maps/llama_index/readers/maps/base.py",
"repo_id": "llama_index",
"token_count": 1853
} | 1,380 |
# Similarity Score Threshold
A problem some people may face is that when doing a similarity search, you have to supply a `k` value. This value is responsible for bringing N similar results back to you. But what if you don't know the `k` value? What if you want the system to return all the possible results?
In a real-... | langchainjs/docs/core_docs/docs/modules/data_connection/retrievers/similarity-score-threshold-retriever.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/data_connection/retrievers/similarity-score-threshold-retriever.mdx",
"repo_id": "langchainjs",
"token_count": 350
} | 759 |
{
"details": {
"best_of_sequences": null,
"finish_reason": "eos_token",
"generated_tokens": 9,
"prefill": [
{
"id": 0,
"logprob": null,
"text": "<pad>"
}
],
"seed": 0,
"tokens": [
{
"id": 16017,
"logprob": -0.30908203,
"spec... | text-generation-inference/integration-tests/models/__snapshots__/test_mt0_base/test_mt0_base_all_params.json/0 | {
"file_path": "text-generation-inference/integration-tests/models/__snapshots__/test_mt0_base/test_mt0_base_all_params.json",
"repo_id": "text-generation-inference",
"token_count": 831
} | 367 |
"""Prompt Mixin."""
from abc import ABC, abstractmethod
from collections import defaultdict
from copy import deepcopy
from typing import Dict, Union
from llama_index.core.prompts.base import BasePromptTemplate
HasPromptType = Union["PromptMixin", BasePromptTemplate]
PromptDictType = Dict[str, BasePromptTemplate]
Pro... | llama_index/llama-index-core/llama_index/core/prompts/mixin.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/prompts/mixin.py",
"repo_id": "llama_index",
"token_count": 1331
} | 1,195 |
import asyncio
import logging
from typing import Dict, Iterable, List, Optional
from langchain_core.embeddings import Embeddings
from langchain_core.pydantic_v1 import (
BaseModel,
Extra,
Field,
SecretStr,
root_validator,
)
from langchain_core.utils import convert_to_secret_str, get_from_dict_or_en... | langchain/libs/partners/mistralai/langchain_mistralai/embeddings.py/0 | {
"file_path": "langchain/libs/partners/mistralai/langchain_mistralai/embeddings.py",
"repo_id": "langchain",
"token_count": 2722
} | 690 |
#!/usr/bin/env python
#
# Licensed to the Apache Software Foundation (ASF) 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
# "... | milvus/build/docker/pulsar/apply-config-from-env.py/0 | {
"file_path": "milvus/build/docker/pulsar/apply-config-from-env.py",
"repo_id": "milvus",
"token_count": 1348
} | 1,696 |
import re
from pathlib import Path
from typing import Iterator, List
from langchain_core.documents import Document
from langchain_community.document_loaders.base import BaseLoader
class AcreomLoader(BaseLoader):
"""Load `acreom` vault from a directory."""
FRONT_MATTER_REGEX = re.compile(r"^---\n(.*?)\n---\... | langchain/libs/community/langchain_community/document_loaders/acreom.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/acreom.py",
"repo_id": "langchain",
"token_count": 1246
} | 242 |
<jupyter_start><jupyter_text>Alibaba Cloud PAI EAS>[Machine Learning Platform for AI of Alibaba Cloud](https://www.alibabacloud.com/help/en/pai) is a machine learning or deep learning engineering platform intended for enterprises and developers. It provides easy-to-use, cost-effective, high-performance, and easy-to-sca... | langchain/docs/docs/integrations/llms/alibabacloud_pai_eas_endpoint.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/llms/alibabacloud_pai_eas_endpoint.ipynb",
"repo_id": "langchain",
"token_count": 612
} | 123 |
package testutils
import (
"github.com/prometheus/client_golang/prometheus"
"github.com/prometheus/client_golang/prometheus/testutil"
"github.com/stretchr/testify/suite"
)
// PromMetricsSuite is a util suite wrapper providing prometheus metrics assertion functions.
type PromMetricsSuite struct {
suite.Suite
}
fu... | milvus/pkg/util/testutils/prometheus_metric.go/0 | {
"file_path": "milvus/pkg/util/testutils/prometheus_metric.go",
"repo_id": "milvus",
"token_count": 178
} | 2,121 |
import unittest
from unittest.mock import MagicMock, Mock, patch
from langchain_community.document_loaders import CubeSemanticLoader
MODULE_PATH = "langchain_community.document_loaders.cube_semantic.CubeSemanticLoader"
class TestCubeSemanticLoader(unittest.TestCase):
def setUp(self) -> None:
self.loader... | langchain/libs/community/tests/unit_tests/document_loaders/test_cube_semantic.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/document_loaders/test_cube_semantic.py",
"repo_id": "langchain",
"token_count": 1052
} | 369 |
// 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/describe_collection_task.go/0 | {
"file_path": "milvus/internal/rootcoord/describe_collection_task.go",
"repo_id": "milvus",
"token_count": 549
} | 1,881 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-s3/llama_index/readers/s3/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-s3/llama_index/readers/s3/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,547 |
import os
import shutil
from pathlib import Path
from llama_index.cli.new_package.templates import (
pyproject_str,
readme_str,
init_str,
init_with_prefix_str,
)
from typing import Optional
def _create_init_file(dir: str):
# create __init__.py
Path(dir + "/__init__.py").touch()
def _create_t... | llama_index/llama-index-cli/llama_index/cli/new_package/base.py/0 | {
"file_path": "llama_index/llama-index-cli/llama_index/cli/new_package/base.py",
"repo_id": "llama_index",
"token_count": 1701
} | 1,193 |
import inspect
from typing import List, Optional, Tuple, Union
import numpy as np
import PIL.Image
import torch
import torch.utils.checkpoint
from ...models import UNet2DModel, VQModel
from ...schedulers import (
DDIMScheduler,
DPMSolverMultistepScheduler,
EulerAncestralDiscreteScheduler,
EulerDiscret... | diffusers/src/diffusers/pipelines/latent_diffusion/pipeline_latent_diffusion_superresolution.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/latent_diffusion/pipeline_latent_diffusion_superresolution.py",
"repo_id": "diffusers",
"token_count": 3451
} | 246 |
# sql-llama2
This template enables a user to interact with a SQL database using natural language.
It uses LLamA2-13b hosted by [Replicate](https://python.langchain.com/docs/integrations/llms/replicate), but can be adapted to any API that supports LLaMA2 including [Fireworks](https://python.langchain.com/docs/integr... | langchain/templates/sql-llama2/README.md/0 | {
"file_path": "langchain/templates/sql-llama2/README.md",
"repo_id": "langchain",
"token_count": 724
} | 735 |
from langchain_community.utilities.arxiv import ArxivAPIWrapper
__all__ = ["ArxivAPIWrapper"]
| langchain/libs/langchain/langchain/utilities/arxiv.py/0 | {
"file_path": "langchain/libs/langchain/langchain/utilities/arxiv.py",
"repo_id": "langchain",
"token_count": 34
} | 615 |
import { test } from "@jest/globals";
import { FakeChatModel } from "../../utils/testing/index.js";
test("Test ChatModel uses callbacks", async () => {
const model = new FakeChatModel({});
let acc = "";
const response = await model.invoke("Hello there!", {
callbacks: [
{
handleLLMNewToken: (tok... | langchainjs/langchain-core/src/language_models/tests/chat_models.test.ts/0 | {
"file_path": "langchainjs/langchain-core/src/language_models/tests/chat_models.test.ts",
"repo_id": "langchainjs",
"token_count": 385
} | 896 |
<jupyter_start><jupyter_text>Supabase (Postgres) >[Supabase](https://supabase.com/docs) is an open-source Firebase alternative. `Supabase` is built on top of `PostgreSQL`, which offers strong SQL querying capabilities and enables a simple interface with already-existing tools and frameworks.>[PostgreSQL](https://en.wik... | langchain/docs/docs/integrations/vectorstores/supabase.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/vectorstores/supabase.ipynb",
"repo_id": "langchain",
"token_count": 1990
} | 194 |
import { DirectoryLoader, UnknownHandling } from "./directory.js";
import { TextLoader } from "./text.js";
/**
* A class that extends the DirectoryLoader class. It represents a
* document loader that loads documents from a directory in the Notion
* format. It uses the TextLoader for loading '.md' files and ignores
... | langchainjs/langchain/src/document_loaders/fs/notion.ts/0 | {
"file_path": "langchainjs/langchain/src/document_loaders/fs/notion.ts",
"repo_id": "langchainjs",
"token_count": 188
} | 917 |
[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 = ["GradientEmbedding"]
contains_example = false
import_path = "llama_index.embeddings.gradie... | llama_index/llama-index-integrations/embeddings/llama-index-embeddings-gradient/pyproject.toml/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-gradient/pyproject.toml",
"repo_id": "llama_index",
"token_count": 647
} | 1,195 |
"""Wrapper around Google's PaLM Chat API."""
from __future__ import annotations
import logging
from typing import TYPE_CHECKING, Any, Callable, Dict, List, Optional, cast
from langchain_core.callbacks import (
AsyncCallbackManagerForLLMRun,
CallbackManagerForLLMRun,
)
from langchain_core.language_models.chat_... | langchain/libs/community/langchain_community/chat_models/google_palm.py/0 | {
"file_path": "langchain/libs/community/langchain_community/chat_models/google_palm.py",
"repo_id": "langchain",
"token_count": 5119
} | 244 |
use serde::Deserialize;
#[derive(Deserialize)]
/// The configuration for the chosen storage.
/// # Options
/// - S3: The configuration for the s3 storage.
/// # Notes
/// See config.rs in the root of the worker crate for an example of how to use
/// config files to configure the worker.
pub(crate) enum StorageConfig {... | chroma/rust/worker/src/storage/config.rs/0 | {
"file_path": "chroma/rust/worker/src/storage/config.rs",
"repo_id": "chroma",
"token_count": 169
} | 63 |
import { RecursiveCharacterTextSplitter } from "langchain/text_splitter";
import { OpenAIEmbeddings } from "@langchain/openai";
import { ContextualCompressionRetriever } from "langchain/retrievers/contextual_compression";
import { EmbeddingsFilter } from "langchain/retrievers/document_compressors/embeddings_filter";
im... | langchainjs/examples/src/retrievers/document_compressor_pipeline.ts/0 | {
"file_path": "langchainjs/examples/src/retrievers/document_compressor_pipeline.ts",
"repo_id": "langchainjs",
"token_count": 723
} | 850 |
package tasks
// TODO: rename this file into search_task.go
import (
"bytes"
"context"
"fmt"
"strconv"
"github.com/golang/protobuf/proto"
"go.opentelemetry.io/otel"
"go.opentelemetry.io/otel/trace"
"go.uber.org/zap"
"github.com/milvus-io/milvus-proto/go-api/v2/commonpb"
"github.com/milvus-io/milvus/intern... | milvus/internal/querynodev2/tasks/task.go/0 | {
"file_path": "milvus/internal/querynodev2/tasks/task.go",
"repo_id": "milvus",
"token_count": 4118
} | 2,052 |
# coding=utf-8
# Copyright 2018 DPR Authors, The Hugging Face 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 a... | transformers/src/transformers/models/dpr/modeling_tf_dpr.py/0 | {
"file_path": "transformers/src/transformers/models/dpr/modeling_tf_dpr.py",
"repo_id": "transformers",
"token_count": 13909
} | 595 |
# coding=utf-8
# 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 requir... | transformers/tests/models/gpt2/test_modeling_gpt2.py/0 | {
"file_path": "transformers/tests/models/gpt2/test_modeling_gpt2.py",
"repo_id": "transformers",
"token_count": 16910
} | 801 |
# Copyright 2024 ParaDiGMS 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
#
# Unless... | diffusers/tests/schedulers/test_scheduler_ddpm_parallel.py/0 | {
"file_path": "diffusers/tests/schedulers/test_scheduler_ddpm_parallel.py",
"repo_id": "diffusers",
"token_count": 4271
} | 280 |
python_sources()
| llama_index/llama-index-core/llama_index/core/storage/kvstore/BUILD/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/storage/kvstore/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,142 |
<jupyter_start><jupyter_text>Geopandas[Geopandas](https://geopandas.org/en/stable/index.html) is an open-source project to make working with geospatial data in python easier. GeoPandas extends the datatypes used by pandas to allow spatial operations on geometric types. Geometric operations are performed by shapely. Geo... | langchain/docs/docs/integrations/document_loaders/geopandas.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/document_loaders/geopandas.ipynb",
"repo_id": "langchain",
"token_count": 911
} | 114 |
# Vector Stores
Vector stores contain embedding vectors of ingested document chunks
(and sometimes the document chunks as well).
## Simple Vector Store
By default, LlamaIndex uses a simple in-memory vector store that's great for quick experimentation.
They can be persisted to (and loaded from) disk by calling `vecto... | llama_index/docs/module_guides/storing/vector_stores.md/0 | {
"file_path": "llama_index/docs/module_guides/storing/vector_stores.md",
"repo_id": "llama_index",
"token_count": 4437
} | 1,127 |
poetry_requirements(
name="poetry",
module_mapping={"google-generativeai": ["google"]}
)
python_sources(
interpreter_constraints=["==3.9.*", "==3.10.*"],
)
| llama_index/llama-index-integrations/llms/llama-index-llms-gemini/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-gemini/BUILD",
"repo_id": "llama_index",
"token_count": 75
} | 1,295 |
import { Serializable } from "@langchain/core/load/serializable";
// Arbitrary value, used for generating namespaced UUIDs.
export const UUIDV5_NAMESPACE = "10f90ea3-90a4-4962-bf75-83a0f3c1c62a";
export type UpdateOptions = {
groupIds?: (string | null)[];
timeAtLeast?: number;
};
export type ListKeyOptions = {
... | langchainjs/libs/langchain-community/src/indexes/base.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/indexes/base.ts",
"repo_id": "langchainjs",
"token_count": 725
} | 1,058 |
<jupyter_start><jupyter_text>**Fine-tuning for Image Classification with 🤗 Transformers**This notebook shows how to fine-tune any pretrained Vision model for Image Classification on a custom dataset. The idea is to add a randomly initialized classification head on top of a pre-trained encoder, and fine-tune the model ... | notebooks/examples/image_classification.ipynb/0 | {
"file_path": "notebooks/examples/image_classification.ipynb",
"repo_id": "notebooks",
"token_count": 7435
} | 307 |
# 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/src/transformers/commands/user.py/0 | {
"file_path": "transformers/src/transformers/commands/user.py",
"repo_id": "transformers",
"token_count": 3107
} | 550 |
from enum import Enum
from pydantic import BaseModel, validator
from typing import Optional, List, Union
from text_generation.errors import ValidationError
# enum for grammar type
class GrammarType(str, Enum):
Json = "json"
Regex = "regex"
# Grammar type and value
class Grammar(BaseModel):
# Grammar ty... | text-generation-inference/clients/python/text_generation/types.py/0 | {
"file_path": "text-generation-inference/clients/python/text_generation/types.py",
"repo_id": "text-generation-inference",
"token_count": 3289
} | 388 |
from pathlib import Path
from typing import Any
import pytest
from langchain_community.document_loaders import SitemapLoader
from langchain_community.document_loaders.sitemap import _extract_scheme_and_domain
def test_sitemap() -> None:
"""Test sitemap loader."""
loader = SitemapLoader("https://api.python.l... | langchain/libs/community/tests/integration_tests/document_loaders/test_sitemap.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/document_loaders/test_sitemap.py",
"repo_id": "langchain",
"token_count": 1972
} | 326 |
"""Clear Weaviate index."""
import logging
import os
import weaviate
from langchain.embeddings import OpenAIEmbeddings
from langchain.indexes import SQLRecordManager, index
from langchain.vectorstores import Weaviate
logger = logging.getLogger(__name__)
WEAVIATE_URL = os.environ["WEAVIATE_URL"]
WEAVIATE_API_KEY = os... | chat-langchain/_scripts/clear_index.py/0 | {
"file_path": "chat-langchain/_scripts/clear_index.py",
"repo_id": "chat-langchain",
"token_count": 629
} | 7 |
from langchain.prompts.base import __all__
EXPECTED_ALL = [
"BasePromptTemplate",
"StringPromptTemplate",
"StringPromptValue",
"_get_jinja2_variables_from_template",
"check_valid_template",
"get_template_variables",
"jinja2_formatter",
"validate_jinja2",
]
def test_all_imports() -> No... | langchain/libs/langchain/tests/unit_tests/prompts/test_base.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/prompts/test_base.py",
"repo_id": "langchain",
"token_count": 153
} | 645 |
use tokenizers as tk;
use pyo3::exceptions;
use pyo3::prelude::*;
use pyo3::types::*;
use super::{
DestroyPtr, PyNormalizedString, PyNormalizedStringRefMut, RefMutContainer, RefMutGuard,
};
use crate::encoding::PyEncoding;
use crate::error::ToPyResult;
use crate::token::PyToken;
use tk::{OffsetReferential, Offset... | tokenizers/bindings/python/src/utils/pretokenization.rs/0 | {
"file_path": "tokenizers/bindings/python/src/utils/pretokenization.rs",
"repo_id": "tokenizers",
"token_count": 4885
} | 451 |
from typing import Optional
from llama_index.core.storage.index_store.keyval_index_store import KVIndexStore
from llama_index.storage.kvstore.mongodb import MongoDBKVStore
class MongoIndexStore(KVIndexStore):
"""Mongo Index store.
Args:
mongo_kvstore (MongoDBKVStore): MongoDB key-value store
... | llama_index/llama-index-integrations/storage/index_store/llama-index-storage-index-store-mongodb/llama_index/storage/index_store/mongodb/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/storage/index_store/llama-index-storage-index-store-mongodb/llama_index/storage/index_store/mongodb/base.py",
"repo_id": "llama_index",
"token_count": 585
} | 1,553 |
from langchain_community.vectorstores.mongodb_atlas import (
MongoDBAtlasVectorSearch,
MongoDBDocumentType,
)
__all__ = [
"MongoDBDocumentType",
"MongoDBAtlasVectorSearch",
]
| langchain/libs/langchain/langchain/vectorstores/mongodb_atlas.py/0 | {
"file_path": "langchain/libs/langchain/langchain/vectorstores/mongodb_atlas.py",
"repo_id": "langchain",
"token_count": 73
} | 583 |
# Steamlit Chatbot Pack
Build a chatbot powered by LlamaIndex that augments an LLM with the contents of Snowflake's Wikipedia page (or your own data).
- Takes user queries via Streamlit's `st.chat_input` and displays both user queries and model responses with `st.chat_message`
- Uses LlamaIndex to load and index data... | llama_index/llama-index-packs/llama-index-packs-streamlit-chatbot/README.md/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-streamlit-chatbot/README.md",
"repo_id": "llama_index",
"token_count": 284
} | 1,820 |
<jupyter_start><jupyter_text>Query Rewriting Retriever PackThis LlamaPack provides an example of our query-rewriting retriever pack.<jupyter_code>!pip install llama-index llama-hub
import nest_asyncio
nest_asyncio.apply()<jupyter_output><empty_output><jupyter_text>Setup Data<jupyter_code>!wget "https://www.dropbox.com... | llama_index/llama-index-packs/llama-index-packs-fusion-retriever/examples/query_rewrite/query_rewrite.ipynb/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-fusion-retriever/examples/query_rewrite/query_rewrite.ipynb",
"repo_id": "llama_index",
"token_count": 624
} | 1,653 |
from typing import Any, Dict, List
from langchain_core.memory import BaseMemory
class SimpleMemory(BaseMemory):
"""Simple memory for storing context or other information that shouldn't
ever change between prompts.
"""
memories: Dict[str, Any] = dict()
@property
def memory_variables(self) ->... | langchain/libs/langchain/langchain/memory/simple.py/0 | {
"file_path": "langchain/libs/langchain/langchain/memory/simple.py",
"repo_id": "langchain",
"token_count": 269
} | 522 |
poetry_requirements(
name="poetry",
)
python_requirements(
name="reqs",
)
| llama_index/llama-index-integrations/readers/llama-index-readers-airbyte-salesforce/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-airbyte-salesforce/BUILD",
"repo_id": "llama_index",
"token_count": 36
} | 1,311 |
#!/usr/bin/env python3
import argparse
import fnmatch
from safetensors.torch import load_file
from diffusers import Kandinsky3UNet
MAPPING = {
"to_time_embed.1": "time_embedding.linear_1",
"to_time_embed.3": "time_embedding.linear_2",
"in_layer": "conv_in",
"out_layer.0": "conv_norm_out",
"out_l... | diffusers/src/diffusers/pipelines/kandinsky3/convert_kandinsky3_unet.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/kandinsky3/convert_kandinsky3_unet.py",
"repo_id": "diffusers",
"token_count": 1403
} | 245 |
# coding=utf-8
# Copyright 2022 HuggingFace Inc. team and BigScience workshop.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... | transformers/src/transformers/models/bloom/modeling_bloom.py/0 | {
"file_path": "transformers/src/transformers/models/bloom/modeling_bloom.py",
"repo_id": "transformers",
"token_count": 23801
} | 643 |
import json
import logging
import re
from typing import Any, Dict, Iterator, List, Mapping, Optional, Type
import requests
from langchain_core.callbacks import CallbackManagerForLLMRun
from langchain_core.language_models.chat_models import (
BaseChatModel,
generate_from_stream,
)
from langchain_core.messages i... | langchain/libs/community/langchain_community/chat_models/llama_edge.py/0 | {
"file_path": "langchain/libs/community/langchain_community/chat_models/llama_edge.py",
"repo_id": "langchain",
"token_count": 3890
} | 240 |
"""Test dataset generation."""
from llama_index.legacy.evaluation.dataset_generation import DatasetGenerator
from llama_index.legacy.prompts.base import PromptTemplate
from llama_index.legacy.prompts.prompt_type import PromptType
from llama_index.legacy.schema import TextNode
from llama_index.legacy.service_context im... | llama_index/llama-index-legacy/tests/evaluation/test_dataset_generation.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/evaluation/test_dataset_generation.py",
"repo_id": "llama_index",
"token_count": 575
} | 1,618 |
"""Default prompt for ReAct agent."""
# ReAct chat prompt
# TODO: have formatting instructions be a part of react output parser
REACT_CHAT_SYSTEM_HEADER = """\
You are designed to help with a variety of tasks, from answering questions \
to providing summaries to other types of analyses.
## Tools
You have acces... | llama_index/llama-index-core/llama_index/core/agent/react/prompts.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/agent/react/prompts.py",
"repo_id": "llama_index",
"token_count": 890
} | 1,175 |
import enum
import warnings
from ..tokenization_utils import TruncationStrategy
from ..utils import add_end_docstrings, is_tf_available, is_torch_available, logging
from .base import Pipeline, build_pipeline_init_args
if is_tf_available():
import tensorflow as tf
from ..models.auto.modeling_tf_auto import T... | transformers/src/transformers/pipelines/text2text_generation.py/0 | {
"file_path": "transformers/src/transformers/pipelines/text2text_generation.py",
"repo_id": "transformers",
"token_count": 6917
} | 749 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/retrievers/llama-index-retrievers-bm25/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/retrievers/llama-index-retrievers-bm25/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,583 |
// 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/importv2/executor.go/0 | {
"file_path": "milvus/internal/datanode/importv2/executor.go",
"repo_id": "milvus",
"token_count": 3652
} | 1,838 |
from typing import Callable, Dict, Optional, Sequence
import numpy as np
from langchain_community.document_transformers.embeddings_redundant_filter import (
_get_embeddings_from_stateful_docs,
get_stateful_documents,
)
from langchain_core.documents import Document
from langchain_core.embeddings import Embeddin... | langchain/libs/langchain/langchain/retrievers/document_compressors/embeddings_filter.py/0 | {
"file_path": "langchain/libs/langchain/langchain/retrievers/document_compressors/embeddings_filter.py",
"repo_id": "langchain",
"token_count": 1077
} | 556 |
# coding=utf-8
# Copyright 2022 EleutherAI and the HuggingFace Inc. team. All rights reserved.
#
# This code is based on EleutherAI's GPT-NeoX library and the GPT-NeoX
# and OPT implementations in this library. It has been modified from its
# original forms to accommodate minor architectural differences compared
# to G... | transformers/src/transformers/models/llama/configuration_llama.py/0 | {
"file_path": "transformers/src/transformers/models/llama/configuration_llama.py",
"repo_id": "transformers",
"token_count": 3612
} | 622 |
// Copyright (C) 2019-2020 Zilliz. All rights reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance
// with the License. You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable l... | milvus/internal/core/unittest/test_bitmap.cpp/0 | {
"file_path": "milvus/internal/core/unittest/test_bitmap.cpp",
"repo_id": "milvus",
"token_count": 655
} | 1,754 |
# coding=utf-8
# Copyright 2020 The Hugging Face 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 law... | transformers/tests/utils/test_model_output.py/0 | {
"file_path": "transformers/tests/utils/test_model_output.py",
"repo_id": "transformers",
"token_count": 3168
} | 770 |
import os
import sys
sys.path.insert(1, os.path.dirname(os.path.realpath(__file__)))
| transformers/examples/research_projects/rag/__init__.py/0 | {
"file_path": "transformers/examples/research_projects/rag/__init__.py",
"repo_id": "transformers",
"token_count": 34
} | 571 |
accuracy:
collections:
-
server:
db_config.primary_path: /test/milvus/db_data_011/sift_1b_128_l2_sq8
cache_config.cpu_cache_capacity: 32GB
engine_config.use_blas_threshold: 1100
engine_config.gpu_search_threshold: 1
gpu_resource_config.enable: true
gpu_resourc... | milvus/tests/benchmark/milvus_benchmark/suites/011_gpu_accuracy_debug.yaml/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/suites/011_gpu_accuracy_debug.yaml",
"repo_id": "milvus",
"token_count": 360
} | 2,087 |
"""**Utilities** are the integrations with third-part systems and packages.
Other LangChain classes use **Utilities** to interact with third-part systems
and packages.
"""
import warnings
from typing import Any
from langchain_community.utilities.requests import (
Requests,
RequestsWrapper,
TextRequestsWra... | langchain/libs/langchain/langchain/utilities/__init__.py/0 | {
"file_path": "langchain/libs/langchain/langchain/utilities/__init__.py",
"repo_id": "langchain",
"token_count": 916
} | 590 |
import { LLMOptions } from "portkey-ai";
import { CallbackManagerForLLMRun } from "@langchain/core/callbacks/manager";
import {
AIMessage,
AIMessageChunk,
BaseMessage,
ChatMessage,
ChatMessageChunk,
FunctionMessageChunk,
HumanMessage,
HumanMessageChunk,
SystemMessage,
SystemMessageChunk,
} from "@la... | langchainjs/libs/langchain-community/src/chat_models/portkey.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/chat_models/portkey.ts",
"repo_id": "langchainjs",
"token_count": 1854
} | 993 |
# 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/stable_diffusion_k_diffusion/pipeline_stable_diffusion_xl_k_diffusion.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/stable_diffusion_k_diffusion/pipeline_stable_diffusion_xl_k_diffusion.py",
"repo_id": "diffusers",
"token_count": 22375
} | 256 |
from .selection_menu import BulletMenu
| accelerate/src/accelerate/commands/menu/__init__.py/0 | {
"file_path": "accelerate/src/accelerate/commands/menu/__init__.py",
"repo_id": "accelerate",
"token_count": 9
} | 11 |
import logging
from typing import Any, Dict, List, Mapping, Optional, cast
from langchain_core.callbacks import (
AsyncCallbackManagerForLLMRun,
CallbackManagerForLLMRun,
)
from langchain_core.language_models.chat_models import BaseChatModel
from langchain_core.messages import (
AIMessage,
BaseMessage,... | langchain/libs/community/langchain_community/chat_models/javelin_ai_gateway.py/0 | {
"file_path": "langchain/libs/community/langchain_community/chat_models/javelin_ai_gateway.py",
"repo_id": "langchain",
"token_count": 3368
} | 227 |
from __future__ import annotations
import logging
from typing import Optional
from langchain_core.callbacks import CallbackManagerForToolRun
from langchain_community.tools.edenai.edenai_base_tool import EdenaiTool
logger = logging.getLogger(__name__)
class EdenAiTextModerationTool(EdenaiTool):
"""Tool that qu... | langchain/libs/community/langchain_community/tools/edenai/text_moderation.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/edenai/text_moderation.py",
"repo_id": "langchain",
"token_count": 916
} | 296 |
python_tests()
| llama_index/llama-index-integrations/readers/llama-index-readers-opensearch/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-opensearch/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,421 |
import json
from langchain.tools import BaseTool
from langchain.tools.render import format_tool_to_openai_tool
from langchain_core.language_models.base import LanguageModelLike
from langchain_core.messages import SystemMessage, ToolMessage
from langgraph.checkpoint import BaseCheckpointSaver
from langgraph.graph impor... | opengpts/backend/app/agent_types/openai_agent.py/0 | {
"file_path": "opengpts/backend/app/agent_types/openai_agent.py",
"repo_id": "opengpts",
"token_count": 1877
} | 2,053 |
# This file is autogenerated by the command `make fix-copies`, do not edit.
from ..utils import DummyObject, requires_backends
class AsymmetricAutoencoderKL(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def ... | diffusers/src/diffusers/utils/dummy_pt_objects.py/0 | {
"file_path": "diffusers/src/diffusers/utils/dummy_pt_objects.py",
"repo_id": "diffusers",
"token_count": 12125
} | 275 |
from llama_index.readers.psychic.base import PsychicReader
__all__ = ["PsychicReader"]
| llama_index/llama-index-integrations/readers/llama-index-readers-psychic/llama_index/readers/psychic/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-psychic/llama_index/readers/psychic/__init__.py",
"repo_id": "llama_index",
"token_count": 28
} | 1,541 |
from typing import Any, Dict, List, Optional
from langchain_core.messages import BaseMessage, get_buffer_string
from langchain_core.pydantic_v1 import root_validator
from langchain.memory.chat_memory import BaseChatMemory, BaseMemory
from langchain.memory.utils import get_prompt_input_key
class ConversationBufferMe... | langchain/libs/langchain/langchain/memory/buffer.py/0 | {
"file_path": "langchain/libs/langchain/langchain/memory/buffer.py",
"repo_id": "langchain",
"token_count": 1948
} | 568 |
python_tests(
name="tests",
)
python_sources()
| llama_index/llama-index-core/tests/token_predictor/BUILD/0 | {
"file_path": "llama_index/llama-index-core/tests/token_predictor/BUILD",
"repo_id": "llama_index",
"token_count": 22
} | 1,233 |
# coding=utf-8
# Copyright 2019 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... | transformers/tests/test_modeling_tf_common.py/0 | {
"file_path": "transformers/tests/test_modeling_tf_common.py",
"repo_id": "transformers",
"token_count": 43519
} | 837 |
__all__ = [
"DownloadConfig",
"DownloadManager",
"DownloadMode",
"StreamingDownloadManager",
]
from .download_config import DownloadConfig
from .download_manager import DownloadManager, DownloadMode
from .streaming_download_manager import StreamingDownloadManager
| datasets/src/datasets/download/__init__.py/0 | {
"file_path": "datasets/src/datasets/download/__init__.py",
"repo_id": "datasets",
"token_count": 77
} | 138 |
// Code generated by mockery v2.32.4. DO NOT EDIT.
package datacoord
import (
context "context"
datapb "github.com/milvus-io/milvus/internal/proto/datapb"
mock "github.com/stretchr/testify/mock"
)
// MockCluster is an autogenerated mock type for the Cluster type
type MockCluster struct {
mock.Mock
}
type MockC... | milvus/internal/datacoord/mock_cluster.go/0 | {
"file_path": "milvus/internal/datacoord/mock_cluster.go",
"repo_id": "milvus",
"token_count": 5476
} | 1,687 |
import pytest
from langchain.chains.qa_with_sources.base import QAWithSourcesChain
from tests.unit_tests.llms.fake_llm import FakeLLM
@pytest.mark.parametrize(
"text,answer,sources",
[
(
"This Agreement is governed by English law.\nSOURCES: 28-pl",
"This Agreement is governed ... | langchain/libs/langchain/tests/unit_tests/chains/test_qa_with_sources.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/chains/test_qa_with_sources.py",
"repo_id": "langchain",
"token_count": 1855
} | 636 |
"""Google Mail reader."""
import base64
import email
from typing import Any, List, Optional
from llama_index.core.readers.base import BaseReader
from llama_index.core.schema import Document
from pydantic import BaseModel
SCOPES = ["https://www.googleapis.com/auth/gmail.readonly"]
class GmailReader(BaseReader, BaseM... | llama_index/llama-index-integrations/readers/llama-index-readers-google/llama_index/readers/google/gmail/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-google/llama_index/readers/google/gmail/base.py",
"repo_id": "llama_index",
"token_count": 3050
} | 1,407 |
# coding=utf-8
# Copyright 2020, The T5 Authors and 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 ... | transformers/src/transformers/models/t5/configuration_t5.py/0 | {
"file_path": "transformers/src/transformers/models/t5/configuration_t5.py",
"repo_id": "transformers",
"token_count": 3199
} | 751 |
# 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/models/autoencoders/autoencoder_kl.py/0 | {
"file_path": "diffusers/src/diffusers/models/autoencoders/autoencoder_kl.py",
"repo_id": "diffusers",
"token_count": 9067
} | 242 |
// Code generated by mockery v2.32.4. DO NOT EDIT.
package msgstream
import (
context "context"
mock "github.com/stretchr/testify/mock"
)
// MockFactory is an autogenerated mock type for the Factory type
type MockFactory struct {
mock.Mock
}
type MockFactory_Expecter struct {
mock *mock.Mock
}
func (_m *MockF... | milvus/pkg/mq/msgstream/mock_msgstream_factory.go/0 | {
"file_path": "milvus/pkg/mq/msgstream/mock_msgstream_factory.go",
"repo_id": "milvus",
"token_count": 2090
} | 1,955 |
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