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use super::schedulers::{betas_for_alpha_bar, BetaSchedule, PredictionType}; use candle::{Result, Tensor}; #[derive(Debug, Clone, PartialEq, Eq)] pub enum DDPMVarianceType { FixedSmall, FixedSmallLog, FixedLarge, FixedLargeLog, Learned, } impl Default for DDPMVarianceType { fn default() -> Self...	candle/candle-transformers/src/models/stable_diffusion/ddpm.rs/0	{ "file_path": "candle/candle-transformers/src/models/stable_diffusion/ddpm.rs", "repo_id": "candle", "token_count": 3662 }	39
// Audio processing code, adapted from whisper.cpp // https://github.com/ggerganov/whisper.cpp use candle::utils::get_num_threads; use std::sync::Arc; use std::thread; pub trait Float: num_traits::Float + num_traits::FloatConst + num_traits::NumAssign + Send + Sync { } impl Float for f32 {} impl Float for f64 {}...	candle/candle-transformers/src/models/whisper/audio.rs/0	{ "file_path": "candle/candle-transformers/src/models/whisper/audio.rs", "repo_id": "candle", "token_count": 5282 }	40
use crate::models::with_tracing::QMatMul; use crate::quantized_var_builder::VarBuilder; use candle::{Module, Result, Tensor}; #[derive(Debug, Clone)] pub struct Embedding { inner: candle_nn::Embedding, span: tracing::Span, } impl Embedding { pub fn new(d1: usize, d2: usize, vb: VarBuilder) -> Result<Self>...	candle/candle-transformers/src/quantized_nn.rs/0	{ "file_path": "candle/candle-transformers/src/quantized_nn.rs", "repo_id": "candle", "token_count": 1534 }	41
<!DOCTYPE html> <html> <head> <meta charset="UTF-8" /> <meta name="viewport" content="width=device-width, initial-scale=1.0" /> <style> @import url("https://fonts.googleapis.com/css2?family=Source+Code+Pro:wght@200;300;400&family=Source+Sans+3:wght@100;200;300;400;500;600;700;800;900&display=swap");...	candle/candle-wasm-examples/blip/index.html/0	{ "file_path": "candle/candle-wasm-examples/blip/index.html", "repo_id": "candle", "token_count": 7164 }	42
use crate::model::{Cache, Config, Llama}; use byteorder::{LittleEndian, ReadBytesExt}; use candle::{DType, Device, IndexOp, Result, Shape, Tensor}; use candle_nn::VarBuilder; use candle_transformers::generation::LogitsProcessor; use serde::{Deserialize, Serialize}; use tokenizers::Tokenizer; use wasm_bindgen::prelude::...	candle/candle-wasm-examples/llama2-c/src/worker.rs/0	{ "file_path": "candle/candle-wasm-examples/llama2-c/src/worker.rs", "repo_id": "candle", "token_count": 5770 }	43
// Audio processing code, adapted from whisper.cpp // https://github.com/ggerganov/whisper.cpp use super::worker; pub trait Float: num_traits::Float + num_traits::FloatConst + num_traits::NumAssign {} impl Float for f32 {} impl Float for f64 {} // https://github.com/ggerganov/whisper.cpp/blob/4774d2feb01a772a15de81f...	candle/candle-wasm-examples/whisper/src/audio.rs/0	{ "file_path": "candle/candle-wasm-examples/whisper/src/audio.rs", "repo_id": "candle", "token_count": 3162 }	44
use yew_agent::PublicWorker; fn main() { console_error_panic_hook::set_once(); candle_wasm_example_yolo::Worker::register(); }	candle/candle-wasm-examples/yolo/src/bin/worker.rs/0	{ "file_path": "candle/candle-wasm-examples/yolo/src/bin/worker.rs", "repo_id": "candle", "token_count": 53 }	45
.DS_Store node_modules /build /.svelte-kit /package .env .env.* !.env.example # Ignore files for PNPM, NPM and YARN pnpm-lock.yaml package-lock.json yarn.lock	chat-ui/.eslintignore/0	{ "file_path": "chat-ui/.eslintignore", "repo_id": "chat-ui", "token_count": 69 }	46
import readline from "readline"; import minimist from "minimist"; // @ts-expect-error: vite-node makes the var available but the typescript compiler doesn't see them import { MONGODB_URL } from "$env/static/private"; import { faker } from "@faker-js/faker"; import { ObjectId } from "mongodb"; import { collections } ...	chat-ui/scripts/populate.ts/0	{ "file_path": "chat-ui/scripts/populate.ts", "repo_id": "chat-ui", "token_count": 3340 }	47
<script lang="ts"> export let isCollapsed: boolean; export let classNames: string; </script> <button on:click class="{classNames} group flex h-16 w-6 flex-col items-center justify-center -space-y-1 outline-none :h-3 :w-1 :rounded-full :hover:bg-gray-300 max-md:hidden dark:*:hover:bg-gray-600 {!isCollapsed ? ...	chat-ui/src/lib/components/ExpandNavigation.svelte/0	{ "file_path": "chat-ui/src/lib/components/ExpandNavigation.svelte", "repo_id": "chat-ui", "token_count": 238 }	48
<script lang="ts"> import { fade } from "svelte/transition"; import IconDazzled from "$lib/components/icons/IconDazzled.svelte"; export let message = ""; </script> <div transition:fade\|global={{ duration: 300 }} class="pointer-events-none fixed right-0 top-12 z-20 bg-gradient-to-bl from-red-500/20 via-red-500/0...	chat-ui/src/lib/components/Toast.svelte/0	{ "file_path": "chat-ui/src/lib/components/Toast.svelte", "repo_id": "chat-ui", "token_count": 259 }	49
<script lang="ts"> import { page } from "$app/stores"; import { PUBLIC_APP_ASSETS, PUBLIC_APP_NAME, PUBLIC_ORIGIN } from "$env/static/public"; import { base } from "$app/paths"; export let classNames = ""; </script> {#if PUBLIC_APP_ASSETS === "chatui"} <svg height="30" width="30" viewBox="0 0 30 30" xmln...	chat-ui/src/lib/components/icons/Logo.svelte/0	{ "file_path": "chat-ui/src/lib/components/icons/Logo.svelte", "repo_id": "chat-ui", "token_count": 550 }	50
import { buildPrompt } from "$lib/buildPrompt"; import { textGenerationStream } from "@huggingface/inference"; import { z } from "zod"; import type { Endpoint } from "../endpoints"; export const endpointAwsParametersSchema = z.object({ weight: z.number().int().positive().default(1), model: z.any(), type: z.literal(...	chat-ui/src/lib/server/endpoints/aws/endpointAws.ts/0	{ "file_path": "chat-ui/src/lib/server/endpoints/aws/endpointAws.ts", "repo_id": "chat-ui", "token_count": 558 }	51
import type { Message } from "$lib/types/Message"; import { format } from "date-fns"; import { generateFromDefaultEndpoint } from "../generateFromDefaultEndpoint"; import { WEBSEARCH_ALLOWLIST, WEBSEARCH_BLOCKLIST } from "$env/static/private"; import { z } from "zod"; import JSON5 from "json5"; const listSchema = z.ar...	chat-ui/src/lib/server/websearch/generateQuery.ts/0	{ "file_path": "chat-ui/src/lib/server/websearch/generateQuery.ts", "repo_id": "chat-ui", "token_count": 898 }	52
import type { ObjectId } from "mongodb"; import type { User } from "./User"; import type { Timestamps } from "./Timestamps"; export interface Assistant extends Timestamps { _id: ObjectId; createdById: User["_id"] \| string; // user id or session createdByName?: User["username"]; avatar?: string; name: string; des...	chat-ui/src/lib/types/Assistant.ts/0	{ "file_path": "chat-ui/src/lib/types/Assistant.ts", "repo_id": "chat-ui", "token_count": 153 }	53
/* eslint-disable no-shadow */ export enum UrlDependency { ConversationList = "conversation:list", Conversation = "conversation", }	chat-ui/src/lib/types/UrlDependency.ts/0	{ "file_path": "chat-ui/src/lib/types/UrlDependency.ts", "repo_id": "chat-ui", "token_count": 47 }	54
import * as fs from "fs"; import { setGlobalDispatcher, Agent } from "undici"; /** * Load client certificates for mutual TLS authentication. This function must be called before any HTTP requests are made. * This is a global setting that affects all HTTP requests made by the application using the native fetch API. *...	chat-ui/src/lib/utils/loadClientCerts.ts/0	{ "file_path": "chat-ui/src/lib/utils/loadClientCerts.ts", "repo_id": "chat-ui", "token_count": 551 }	55
import { collections } from "$lib/server/database"; import { ObjectId } from "mongodb"; import { describe, expect, it } from "vitest"; import { convertLegacyConversation } from "./convertLegacyConversation"; import { insertLegacyConversation } from "./treeHelpers.spec"; describe("convertLegacyConversation", () => { ...	chat-ui/src/lib/utils/tree/convertLegacyConversation.spec.ts/0	{ "file_path": "chat-ui/src/lib/utils/tree/convertLegacyConversation.spec.ts", "repo_id": "chat-ui", "token_count": 425 }	56
<script lang="ts"> import { base } from "$app/paths"; import { clickOutside } from "$lib/actions/clickOutside"; import { afterNavigate, goto } from "$app/navigation"; import { useSettingsStore } from "$lib/stores/settings"; import type { PageData } from "./$types"; import { applyAction, enhance } from "$app/form...	chat-ui/src/routes/assistant/[assistantId]/+page.svelte/0	{ "file_path": "chat-ui/src/routes/assistant/[assistantId]/+page.svelte", "repo_id": "chat-ui", "token_count": 1821 }	57
import { redirect, error } from "@sveltejs/kit"; import { getOIDCUserData, validateAndParseCsrfToken } from "$lib/server/auth"; import { z } from "zod"; import { base } from "$app/paths"; import { updateUser } from "./updateUser"; import { ALLOWED_USER_EMAILS } from "$env/static/private"; import JSON5 from "json5"; co...	chat-ui/src/routes/login/callback/+page.server.ts/0	{ "file_path": "chat-ui/src/routes/login/callback/+page.server.ts", "repo_id": "chat-ui", "token_count": 671 }	58
import { collections } from "$lib/server/database"; import { type Actions, fail, redirect } from "@sveltejs/kit"; import { ObjectId } from "mongodb"; import { authCondition } from "$lib/server/auth"; import { base } from "$app/paths"; import { PUBLIC_ORIGIN, PUBLIC_SHARE_PREFIX } from "$env/static/public"; import { WEB...	chat-ui/src/routes/settings/(nav)/assistants/[assistantId]/+page.server.ts/0	{ "file_path": "chat-ui/src/routes/settings/(nav)/assistants/[assistantId]/+page.server.ts", "repo_id": "chat-ui", "token_count": 1828 }	59
{ "$schema": "https://vega.github.io/schema/vega-lite/v4.json", "data": { "values": "<DVC_METRIC_DATA>" }, "title": "<DVC_METRIC_TITLE>", "mark": "rect", "encoding": { "x": { "field": "<DVC_METRIC_X>", "type": "nominal", "sort": "ascending", ...	datasets/.dvc/plots/confusion.json/0	{ "file_path": "datasets/.dvc/plots/confusion.json", "repo_id": "datasets", "token_count": 450 }	60
# This is the list of HuggingFace Datasets authors for copyright purposes. # # This does not necessarily list everyone who has contributed code, since in # some cases, their employer may be the copyright holder. To see the full list # of contributors, see the revision history in source control. Google Inc. HuggingFac...	datasets/AUTHORS/0	{ "file_path": "datasets/AUTHORS", "repo_id": "datasets", "token_count": 78 }	61
# Create an image dataset There are two methods for creating and sharing an image dataset. This guide will show you how to: * Create an image dataset with `ImageFolder` and some metadata. This is a no-code solution for quickly creating an image dataset with several thousand images. * Create an image dataset by writin...	datasets/docs/source/image_dataset.mdx/0	{ "file_path": "datasets/docs/source/image_dataset.mdx", "repo_id": "datasets", "token_count": 5724 }	62
# Table Classes Each `Dataset` object is backed by a PyArrow Table. A Table can be loaded from either the disk (memory mapped) or in memory. Several Table types are available, and they all inherit from [`table.Table`]. ## Table [[autodoc]] datasets.table.Table - validate - equals - to_batches - to_py...	datasets/docs/source/package_reference/table_classes.mdx/0	{ "file_path": "datasets/docs/source/package_reference/table_classes.mdx", "repo_id": "datasets", "token_count": 1029 }	63
# Use with Spark This document is a quick introduction to using 🤗 Datasets with Spark, with a particular focus on how to load a Spark DataFrame into a [`Dataset`] object. From there, you have fast access to any element and you can use it as a data loader to train models. ## Load from Spark A [`Dataset`] object is ...	datasets/docs/source/use_with_spark.mdx/0	{ "file_path": "datasets/docs/source/use_with_spark.mdx", "repo_id": "datasets", "token_count": 962 }	64
# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor. # # 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....	datasets/metrics/code_eval/code_eval.py/0	{ "file_path": "datasets/metrics/code_eval/code_eval.py", "repo_id": "datasets", "token_count": 3175 }	65
# Copyright 2022 The HuggingFace Datasets Authors and the current metric script contributor. # # 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...	datasets/metrics/frugalscore/frugalscore.py/0	{ "file_path": "datasets/metrics/frugalscore/frugalscore.py", "repo_id": "datasets", "token_count": 1754 }	66
# Copyright 2022 The HuggingFace Datasets Authors. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or ...	datasets/metrics/mean_iou/mean_iou.py/0	{ "file_path": "datasets/metrics/mean_iou/mean_iou.py", "repo_id": "datasets", "token_count": 5236 }	67
# Copyright 2020 The HuggingFace Datasets Authors. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or ...	datasets/metrics/rouge/rouge.py/0	{ "file_path": "datasets/metrics/rouge/rouge.py", "repo_id": "datasets", "token_count": 2100 }	68
""" Official evaluation script for ReCoRD v1.0. (Some functions are adopted from the SQuAD evaluation script.) """ import argparse import json import re import string import sys from collections import Counter def normalize_answer(s): """Lower text and remove punctuation, articles and extra whitespace.""" d...	datasets/metrics/super_glue/record_evaluation.py/0	{ "file_path": "datasets/metrics/super_glue/record_evaluation.py", "repo_id": "datasets", "token_count": 1480 }	69
# ruff: noqa # Copyright 2020 The HuggingFace Datasets Authors and the TensorFlow Datasets Authors. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICE...	datasets/src/datasets/__init__.py/0	{ "file_path": "datasets/src/datasets/__init__.py", "repo_id": "datasets", "token_count": 772 }	70
from typing import TypeVar from .arrow_dataset import Dataset, _split_by_node_map_style_dataset from .iterable_dataset import IterableDataset, _split_by_node_iterable_dataset DatasetType = TypeVar("DatasetType", Dataset, IterableDataset) def split_dataset_by_node(dataset: DatasetType, rank: int, world_size: int) -...	datasets/src/datasets/distributed.py/0	{ "file_path": "datasets/src/datasets/distributed.py", "repo_id": "datasets", "token_count": 582 }	71
# Copyright 2020 The HuggingFace Datasets Authors and the TensorFlow Datasets Authors. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # U...	datasets/src/datasets/formatting/__init__.py/0	{ "file_path": "datasets/src/datasets/formatting/__init__.py", "repo_id": "datasets", "token_count": 1932 }	72
import multiprocessing from typing import TYPE_CHECKING, Optional, Union from .. import Dataset, Features, config from ..formatting import query_table from ..packaged_modules.sql.sql import Sql from ..utils import tqdm as hf_tqdm from .abc import AbstractDatasetInputStream if TYPE_CHECKING: import sqlite3 i...	datasets/src/datasets/io/sql.py/0	{ "file_path": "datasets/src/datasets/io/sql.py", "repo_id": "datasets", "token_count": 2007 }	73
from dataclasses import dataclass, field from typing import ClassVar, Dict from ..features import Features, Value from .base import TaskTemplate @dataclass(frozen=True) class LanguageModeling(TaskTemplate): task: str = field(default="language-modeling", metadata={"include_in_asdict_even_if_is_default": True}) ...	datasets/src/datasets/tasks/language_modeling.py/0	{ "file_path": "datasets/src/datasets/tasks/language_modeling.py", "repo_id": "datasets", "token_count": 195 }	74
import time from functools import partial from huggingface_hub import HfApi, hf_hub_url from huggingface_hub.hf_api import RepoFile from packaging import version from requests import ConnectionError, HTTPError from .. import config from . import logging logger = logging.get_logger(__name__) # Retry `preupload_lfs_...	datasets/src/datasets/utils/hub.py/0	{ "file_path": "datasets/src/datasets/utils/hub.py", "repo_id": "datasets", "token_count": 1118 }	75
"""Utility helpers to handle progress bars in `datasets`. Example: 1. Use `datasets.utils.tqdm` as you would use `tqdm.tqdm` or `tqdm.auto.tqdm`. 2. To disable progress bars, either use `disable_progress_bars()` helper or set the environment variable `HF_DATASETS_DISABLE_PROGRESS_BARS` to 1. 3. To r...	datasets/src/datasets/utils/tqdm.py/0	{ "file_path": "datasets/src/datasets/utils/tqdm.py", "repo_id": "datasets", "token_count": 1662 }	76
from unittest.mock import patch import pyspark from datasets.packaged_modules.spark.spark import ( Spark, SparkExamplesIterable, _generate_iterable_examples, ) from ..utils import ( require_dill_gt_0_3_2, require_not_windows, ) def _get_expected_row_ids_and_row_dicts_for_partition_order(df, par...	datasets/tests/packaged_modules/test_spark.py/0	{ "file_path": "datasets/tests/packaged_modules/test_spark.py", "repo_id": "datasets", "token_count": 2054 }	77
import os from datasets.utils._filelock import FileLock def test_long_path(tmpdir): filename = "a" * 1000 + ".lock" lock1 = FileLock(str(tmpdir / filename)) assert lock1.lock_file.endswith(".lock") assert not lock1.lock_file.endswith(filename) assert len(os.path.basename(lock1.lock_file)) <= 255	datasets/tests/test_filelock.py/0	{ "file_path": "datasets/tests/test_filelock.py", "repo_id": "datasets", "token_count": 120 }	78