refactor: remove auto NSFW media detection

This commit is contained in:
naskya 2024-02-16 01:08:05 +09:00
parent 3d2ecadbc6
commit ff35195611
No known key found for this signature in database
GPG key ID: 712D413B3A9FED5C
32 changed files with 178 additions and 11897 deletions

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@ -2,6 +2,28 @@
Breaking changes are indicated by the :warning: icon.
## Unreleased
- :warning: Since the auto NSFW media detection has been removed, these endpoints are affected:
- `admin/meta`
- These parameter(s) are removed from the response field:
- `sensitiveMediaDetection`
- `sensitiveMediaDetectionSensitivity`
- `setSensitiveFlagAutomatically`
- `enableSensitiveMediaDetectionForVideos`
- `admin/update-meta`
- These parameter(s) are removed from the request field:
- `sensitiveMediaDetection`
- `sensitiveMediaDetectionSensitivity`
- `setSensitiveFlagAutomatically`
- `enableSensitiveMediaDetectionForVideos`
- `admin/show-user`
- These parameter(s) are removed from the response field:
- `autoSensitive`
- `i/update`
- These parameter(s) are removed from the request field:
- `autoSensitive`
## v20240212
- :warning: The field name of the response of `latest-version` has been changed from `tag_name` to `latest_version`.

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@ -1,6 +1,7 @@
# Unreleased
- add ability to specify the search engine used in the search bar MFM
- remove auto NSFW media detection
# v20240216

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@ -1,10 +1,23 @@
BEGIN;
DELETE FROM "migrations" WHERE name IN (
'RemoveNsfwDetection1705848938166',
'FirefishUrlMove1707850084123',
'RemoveNativeUtilsMigration1705877093218'
);
-- remove-nsfw-detection
ALTER TABLE "user_profile" ADD "autoSensitive" boolean NOT NULL DEFAULT false;
ALTER TABLE "meta" ADD "enableSensitiveMediaDetectionForVideos" boolean NOT NULL DEFAULT false;
ALTER TABLE "meta" ADD "setSensitiveFlagAutomatically" boolean NOT NULL DEFAULT false;
CREATE TYPE "public"."meta_sensitivemediadetectionsensitivity_enum" AS ENUM('medium', 'low', 'high', 'veryLow', 'veryHigh');
ALTER TABLE "meta" ADD "sensitiveMediaDetectionSensitivity" "public"."meta_sensitivemediadetectionsensitivity_enum" NOT NULL DEFAULT 'medium';
CREATE TYPE "public"."meta_sensitivemediadetection_enum" AS ENUM('none', 'all', 'local', 'remote');
ALTER TABLE "meta" ADD "sensitiveMediaDetection" "public"."meta_sensitivemediadetection_enum" NOT NULL DEFAULT 'none';
ALTER TABLE "drive_file" ADD "maybePorn" boolean NOT NULL DEFAULT false;
ALTER TABLE "drive_file" ADD "maybeSensitive" boolean NOT NULL DEFAULT false;
COMMENT ON COLUMN "drive_file"."maybeSensitive" IS 'Whether the DriveFile is NSFW. (predict)';
-- firefish-url-move
UPDATE "meta" SET "repositoryUrl" = 'https://git.joinfirefish.org/firefish/firefish';
UPDATE "meta" SET "feedbackUrl" = 'https://git.joinfirefish.org/firefish/firefish/issues';

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@ -34,14 +34,10 @@
"clean-cargo": "pnpm node ./scripts/clean-cargo.mjs",
"clean-all": "pnpm run clean && pnpm run clean-cargo && pnpm run clean-npm"
},
"resolutions": {
"chokidar": "^3.3.1"
},
"dependencies": {
"@bull-board/api": "5.14.1",
"@bull-board/ui": "5.14.1",
"@napi-rs/cli": "^2.18.0",
"@tensorflow/tfjs": "^4.17.0",
"js-yaml": "4.1.0",
"seedrandom": "^3.0.5"
},

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@ -48,10 +48,6 @@ pub struct Model {
pub request_headers: Option<Json>,
#[sea_orm(column_name = "requestIp")]
pub request_ip: Option<String>,
#[sea_orm(column_name = "maybeSensitive")]
pub maybe_sensitive: bool,
#[sea_orm(column_name = "maybePorn")]
pub maybe_porn: bool,
}
#[derive(Copy, Clone, Debug, EnumIter, DeriveRelation)]

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@ -1,7 +1,5 @@
//! `SeaORM` Entity. Generated by sea-orm-codegen 0.12.10
use super::sea_orm_active_enums::MetaSensitivemediadetectionEnum;
use super::sea_orm_active_enums::MetaSensitivemediadetectionsensitivityEnum;
use sea_orm::entity::prelude::*;
#[derive(Clone, Debug, PartialEq, DeriveEntityModel, Eq)]
@ -137,16 +135,8 @@ pub struct Model {
pub default_light_theme: Option<String>,
#[sea_orm(column_name = "defaultDarkTheme")]
pub default_dark_theme: Option<String>,
#[sea_orm(column_name = "sensitiveMediaDetection")]
pub sensitive_media_detection: MetaSensitivemediadetectionEnum,
#[sea_orm(column_name = "sensitiveMediaDetectionSensitivity")]
pub sensitive_media_detection_sensitivity: MetaSensitivemediadetectionsensitivityEnum,
#[sea_orm(column_name = "setSensitiveFlagAutomatically")]
pub set_sensitive_flag_automatically: bool,
#[sea_orm(column_name = "enableIpLogging")]
pub enable_ip_logging: bool,
#[sea_orm(column_name = "enableSensitiveMediaDetectionForVideos")]
pub enable_sensitive_media_detection_for_videos: bool,
#[sea_orm(column_name = "enableActiveEmailValidation")]
pub enable_active_email_validation: bool,
#[sea_orm(column_name = "customMOTD")]

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@ -19,40 +19,6 @@ pub enum AntennaSrcEnum {
Users,
}
#[derive(Debug, Clone, PartialEq, Eq, EnumIter, DeriveActiveEnum)]
#[sea_orm(
rs_type = "String",
db_type = "Enum",
enum_name = "meta_sensitivemediadetection_enum"
)]
pub enum MetaSensitivemediadetectionEnum {
#[sea_orm(string_value = "all")]
All,
#[sea_orm(string_value = "local")]
Local,
#[sea_orm(string_value = "none")]
None,
#[sea_orm(string_value = "remote")]
Remote,
}
#[derive(Debug, Clone, PartialEq, Eq, EnumIter, DeriveActiveEnum)]
#[sea_orm(
rs_type = "String",
db_type = "Enum",
enum_name = "meta_sensitivemediadetectionsensitivity_enum"
)]
pub enum MetaSensitivemediadetectionsensitivityEnum {
#[sea_orm(string_value = "high")]
High,
#[sea_orm(string_value = "low")]
Low,
#[sea_orm(string_value = "medium")]
Medium,
#[sea_orm(string_value = "veryHigh")]
VeryHigh,
#[sea_orm(string_value = "veryLow")]
VeryLow,
}
#[derive(Debug, Clone, PartialEq, Eq, EnumIter, DeriveActiveEnum)]
#[sea_orm(
rs_type = "String",
db_type = "Enum",

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@ -66,8 +66,6 @@ pub struct Model {
pub public_reactions: bool,
#[sea_orm(column_name = "ffVisibility")]
pub ff_visibility: UserProfileFfvisibilityEnum,
#[sea_orm(column_name = "autoSensitive")]
pub auto_sensitive: bool,
#[sea_orm(column_name = "moderationNote")]
pub moderation_note: String,
#[sea_orm(column_name = "preventAiLearning")]

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@ -0,0 +1,64 @@
export class RemoveNsfwDetection1705848938166 {
name = "RemoveNsfwDetection1705848938166";
async up(queryRunner) {
await queryRunner.query(
`ALTER TABLE "drive_file" DROP COLUMN "maybeSensitive"`,
);
await queryRunner.query(`ALTER TABLE "drive_file" DROP COLUMN "maybePorn"`);
await queryRunner.query(
`ALTER TABLE "meta" DROP COLUMN "sensitiveMediaDetection"`,
);
await queryRunner.query(
`DROP TYPE "public"."meta_sensitivemediadetection_enum"`,
);
await queryRunner.query(
`ALTER TABLE "meta" DROP COLUMN "sensitiveMediaDetectionSensitivity"`,
);
await queryRunner.query(
`DROP TYPE "public"."meta_sensitivemediadetectionsensitivity_enum"`,
);
await queryRunner.query(
`ALTER TABLE "meta" DROP COLUMN "setSensitiveFlagAutomatically"`,
);
await queryRunner.query(
`ALTER TABLE "meta" DROP COLUMN "enableSensitiveMediaDetectionForVideos"`,
);
await queryRunner.query(
`ALTER TABLE "user_profile" DROP COLUMN "autoSensitive"`,
);
}
async down(queryRunner) {
await queryRunner.query(
`ALTER TABLE "user_profile" ADD "autoSensitive" boolean NOT NULL DEFAULT false`,
);
await queryRunner.query(
`ALTER TABLE "meta" ADD "enableSensitiveMediaDetectionForVideos" boolean NOT NULL DEFAULT false`,
);
await queryRunner.query(
`ALTER TABLE "meta" ADD "setSensitiveFlagAutomatically" boolean NOT NULL DEFAULT false`,
);
await queryRunner.query(
`CREATE TYPE "public"."meta_sensitivemediadetectionsensitivity_enum" AS ENUM('medium', 'low', 'high', 'veryLow', 'veryHigh')`,
);
await queryRunner.query(
`ALTER TABLE "meta" ADD "sensitiveMediaDetectionSensitivity" "public"."meta_sensitivemediadetectionsensitivity_enum" NOT NULL DEFAULT 'medium'`,
);
await queryRunner.query(
`CREATE TYPE "public"."meta_sensitivemediadetection_enum" AS ENUM('none', 'all', 'local', 'remote')`,
);
await queryRunner.query(
`ALTER TABLE "meta" ADD "sensitiveMediaDetection" "public"."meta_sensitivemediadetection_enum" NOT NULL DEFAULT 'none'`,
);
await queryRunner.query(
`ALTER TABLE "drive_file" ADD "maybePorn" boolean NOT NULL DEFAULT false`,
);
await queryRunner.query(
`ALTER TABLE "drive_file" ADD "maybeSensitive" boolean NOT NULL DEFAULT false`,
);
await queryRunner.query(
`COMMENT ON COLUMN "drive_file"."maybeSensitive" IS 'Whether the DriveFile is NSFW. (predict)'`,
);
}
}

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@ -18,8 +18,7 @@
"format": "pnpm biome format * --write"
},
"optionalDependencies": {
"@swc/core-android-arm64": "1.3.11",
"@tensorflow/tfjs-node": "4.17.0"
"@swc/core-android-arm64": "1.3.11"
},
"dependencies": {
"@bull-board/api": "5.14.1",
@ -34,7 +33,6 @@
"@peertube/http-signature": "1.7.0",
"@redocly/openapi-core": "1.9.0",
"@sinonjs/fake-timers": "11.2.2",
"@tensorflow/tfjs": "^4.17.0",
"@twemoji/parser": "^15.0.0",
"adm-zip": "^0.5.10",
"ajv": "8.12.0",
@ -50,7 +48,6 @@
"cbor-x": "^1.5.8",
"chalk": "5.3.0",
"chalk-template": "1.1.0",
"chokidar": "^3.6.0",
"cli-highlight": "2.1.11",
"color-convert": "2.0.1",
"content-disposition": "0.5.4",
@ -92,7 +89,6 @@
"nested-property": "4.0.0",
"node-fetch": "3.3.2",
"nodemailer": "6.9.9",
"nsfwjs": "3.0.0",
"opencc-js": "^1.0.5",
"os-utils": "0.0.14",
"otpauth": "^9.2.2",

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@ -1,18 +1,12 @@
import * as fs from "node:fs";
import * as crypto from "node:crypto";
import { join } from "node:path";
import * as stream from "node:stream";
import * as util from "node:util";
import { FSWatcher } from "chokidar";
import { fileTypeFromFile } from "file-type";
import probeImageSize from "probe-image-size";
import FFmpeg from "fluent-ffmpeg";
import isSvg from "is-svg";
import { type predictionType } from "nsfwjs";
import sharp from "sharp";
import { encode } from "blurhash";
import { detectSensitive } from "@/services/detect-sensitive.js";
import { createTempDir } from "./create-temp.js";
const pipeline = util.promisify(stream.pipeline);
@ -27,8 +21,6 @@ export type FileInfo = {
height?: number;
orientation?: number;
blurhash?: string;
sensitive: boolean;
porn: boolean;
warnings: string[];
};
@ -45,15 +37,7 @@ const TYPE_SVG = {
/**
* Get file information
*/
export async function getFileInfo(
path: string,
opts: {
skipSensitiveDetection: boolean;
sensitiveThreshold?: number;
sensitiveThresholdForPorn?: number;
enableSensitiveMediaDetectionForVideos?: boolean;
},
): Promise<FileInfo> {
export async function getFileInfo(path: string): Promise<FileInfo> {
const warnings = [] as string[];
const size = await getFileSize(path);
@ -123,26 +107,6 @@ export async function getFileInfo(
});
}
let sensitive = false;
let porn = false;
if (!opts.skipSensitiveDetection) {
await detectSensitivity(
path,
type.mime,
opts.sensitiveThreshold ?? 0.5,
opts.sensitiveThresholdForPorn ?? 0.75,
opts.enableSensitiveMediaDetectionForVideos ?? false,
).then(
(value) => {
[sensitive, porn] = value;
},
(error) => {
warnings.push(`detectSensitivity failed: ${error}`);
},
);
}
return {
size,
md5,
@ -151,190 +115,10 @@ export async function getFileInfo(
height,
orientation,
blurhash,
sensitive,
porn,
warnings,
};
}
async function detectSensitivity(
source: string,
mime: string,
sensitiveThreshold: number,
sensitiveThresholdForPorn: number,
analyzeVideo: boolean,
): Promise<[sensitive: boolean, porn: boolean]> {
let sensitive = false;
let porn = false;
function judgePrediction(
result: readonly predictionType[],
): [sensitive: boolean, porn: boolean] {
let sensitive = false;
let porn = false;
if (
(result.find((x) => x.className === "Sexy")?.probability ?? 0) >
sensitiveThreshold
)
sensitive = true;
if (
(result.find((x) => x.className === "Hentai")?.probability ?? 0) >
sensitiveThreshold
)
sensitive = true;
if (
(result.find((x) => x.className === "Porn")?.probability ?? 0) >
sensitiveThreshold
)
sensitive = true;
if (
(result.find((x) => x.className === "Porn")?.probability ?? 0) >
sensitiveThresholdForPorn
)
porn = true;
return [sensitive, porn];
}
if (["image/jpeg", "image/png", "image/webp"].includes(mime)) {
const result = await detectSensitive(source);
if (result) {
[sensitive, porn] = judgePrediction(result);
}
} else if (
analyzeVideo &&
(mime === "image/apng" || mime.startsWith("video/"))
) {
const [outDir, disposeOutDir] = await createTempDir();
try {
const command = FFmpeg()
.input(source)
.inputOptions([
"-skip_frame",
"nokey", // 可能ならキーフレームのみを取得してほしいとする(そうなるとは限らない)
"-lowres",
"3", // 元の画質でデコードする必要はないので 1/8 画質でデコードしてもよいとする(そうなるとは限らない)
])
.noAudio()
.videoFilters([
{
filter: "select", // フレームのフィルタリング
options: {
e: "eq(pict_type,PICT_TYPE_I)", // I-Frame のみをフィルタするVP9 とかはデコードしてみないとわからないっぽい)
},
},
{
filter: "blackframe", // 暗いフレームの検出
options: {
amount: "0", // 暗さに関わらず全てのフレームで測定値を取る
},
},
{
filter: "metadata",
options: {
mode: "select", // フレーム選択モード
key: "lavfi.blackframe.pblack", // フレームにおける暗部の百分率(前のフィルタからのメタデータを参照する)
value: "50",
function: "less", // 50% 未満のフレームを選択する50% 以上暗部があるフレームだと誤検知を招くかもしれないので)
},
},
{
filter: "scale",
options: {
w: 299,
h: 299,
},
},
])
.format("image2")
.output(join(outDir, "%d.png"))
.outputOptions(["-vsync", "0"]); // 可変フレームレートにすることで穴埋めをさせない
const results: ReturnType<typeof judgePrediction>[] = [];
let frameIndex = 0;
let targetIndex = 0;
let nextIndex = 1;
for await (const path of asyncIterateFrames(outDir, command)) {
try {
const index = frameIndex++;
if (index !== targetIndex) {
continue;
}
targetIndex = nextIndex;
nextIndex += index; // fibonacci sequence によってフレーム数制限を掛ける
const result = await detectSensitive(path);
if (result) {
results.push(judgePrediction(result));
}
} finally {
fs.promises.unlink(path);
}
}
sensitive =
results.filter((x) => x[0]).length >=
Math.ceil(results.length * sensitiveThreshold);
porn =
results.filter((x) => x[1]).length >=
Math.ceil(results.length * sensitiveThresholdForPorn);
} finally {
disposeOutDir();
}
}
return [sensitive, porn];
}
async function* asyncIterateFrames(
cwd: string,
command: FFmpeg.FfmpegCommand,
): AsyncGenerator<string, void> {
const watcher = new FSWatcher({
cwd,
disableGlobbing: true,
});
let finished = false;
command.once("end", () => {
finished = true;
watcher.close();
});
command.run();
for (let i = 1; true; i++) {
const current = `${i}.png`;
const next = `${i + 1}.png`;
const framePath = join(cwd, current);
if (await exists(join(cwd, next))) {
yield framePath;
} else if (!finished) {
watcher.add(next);
await new Promise<void>((resolve, reject) => {
watcher.on("add", function onAdd(path) {
if (path === next) {
// 次フレームの書き出しが始まっているなら、現在フレームの書き出しは終わっている
watcher.unwatch(current);
watcher.off("add", onAdd);
resolve();
}
});
command.once("end", resolve); // 全てのフレームを処理し終わったなら、最終フレームである現在フレームの書き出しは終わっている
command.once("error", reject);
});
yield framePath;
} else if (await exists(framePath)) {
yield framePath;
} else {
return;
}
}
}
function exists(path: string): Promise<boolean> {
return fs.promises.access(path).then(
() => true,
() => false,
);
}
/**
* Detect MIME Type and extension
*/

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@ -183,19 +183,6 @@ export class DriveFile {
})
public isSensitive: boolean;
@Index()
@Column("boolean", {
default: false,
comment: "Whether the DriveFile is NSFW. (predict)",
})
public maybeSensitive: boolean;
@Index()
@Column("boolean", {
default: false,
})
public maybePorn: boolean;
/**
* ()URLへの直リンクか否か
*/

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@ -253,33 +253,6 @@ export class Meta {
})
public recaptchaSecretKey: string | null;
@Column("enum", {
enum: ["none", "all", "local", "remote"],
default: "none",
})
public sensitiveMediaDetection: "none" | "all" | "local" | "remote";
@Column("enum", {
enum: ["medium", "low", "high", "veryLow", "veryHigh"],
default: "medium",
})
public sensitiveMediaDetectionSensitivity:
| "medium"
| "low"
| "high"
| "veryLow"
| "veryHigh";
@Column("boolean", {
default: false,
})
public setSensitiveFlagAutomatically: boolean;
@Column("boolean", {
default: false,
})
public enableSensitiveMediaDetectionForVideos: boolean;
@Column("integer", {
default: 1024,
comment: "Drive capacity of a local user (MB)",

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@ -183,11 +183,6 @@ export class UserProfile {
})
public alwaysMarkNsfw: boolean;
@Column("boolean", {
default: false,
})
public autoSensitive: boolean;
@Column("boolean", {
default: false,
})

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@ -539,7 +539,6 @@ export const UserRepository = db.getRepository(User).extend({
injectFeaturedNote: profile!.injectFeaturedNote,
receiveAnnouncementEmail: profile!.receiveAnnouncementEmail,
alwaysMarkNsfw: profile!.alwaysMarkNsfw,
autoSensitive: profile!.autoSensitive,
carefulBot: profile!.carefulBot,
autoAcceptFollowed: profile!.autoAcceptFollowed,
noCrawle: profile!.noCrawle,

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@ -379,11 +379,6 @@ export const packedMeDetailedOnlySchema = {
nullable: true,
optional: false,
},
autoSensitive: {
type: "boolean",
nullable: true,
optional: false,
},
carefulBot: {
type: "boolean",
nullable: true,

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@ -460,7 +460,7 @@ export const paramDef = {
required: [],
} as const;
export default define(meta, paramDef, async (ps, me) => {
export default define(meta, paramDef, async () => {
const instance = await fetchMeta(true);
return {
@ -518,12 +518,6 @@ export default define(meta, paramDef, async (ps, me) => {
secureMode: instance.secureMode,
hcaptchaSecretKey: instance.hcaptchaSecretKey,
recaptchaSecretKey: instance.recaptchaSecretKey,
sensitiveMediaDetection: instance.sensitiveMediaDetection,
sensitiveMediaDetectionSensitivity:
instance.sensitiveMediaDetectionSensitivity,
setSensitiveFlagAutomatically: instance.setSensitiveFlagAutomatically,
enableSensitiveMediaDetectionForVideos:
instance.enableSensitiveMediaDetectionForVideos,
proxyAccountId: instance.proxyAccountId,
summalyProxy: instance.summalyProxy,
email: instance.email,

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@ -56,7 +56,6 @@ export default define(meta, paramDef, async (ps, me) => {
isIndexable: profile.isIndexable,
preventAiLearning: profile.preventAiLearning,
alwaysMarkNsfw: profile.alwaysMarkNsfw,
autoSensitive: profile.autoSensitive,
carefulBot: profile.carefulBot,
injectFeaturedNote: profile.injectFeaturedNote,
receiveAnnouncementEmail: profile.receiveAnnouncementEmail,

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@ -101,16 +101,6 @@ export const paramDef = {
enableRecaptcha: { type: "boolean" },
recaptchaSiteKey: { type: "string", nullable: true },
recaptchaSecretKey: { type: "string", nullable: true },
sensitiveMediaDetection: {
type: "string",
enum: ["none", "all", "local", "remote"],
},
sensitiveMediaDetectionSensitivity: {
type: "string",
enum: ["medium", "low", "high", "veryLow", "veryHigh"],
},
setSensitiveFlagAutomatically: { type: "boolean" },
enableSensitiveMediaDetectionForVideos: { type: "boolean" },
proxyAccountId: { type: "string", format: "misskey:id", nullable: true },
maintainerName: { type: "string", nullable: true },
maintainerEmail: { type: "string", nullable: true },
@ -363,24 +353,6 @@ export default define(meta, paramDef, async (ps, me) => {
set.recaptchaSecretKey = ps.recaptchaSecretKey;
}
if (ps.sensitiveMediaDetection !== undefined) {
set.sensitiveMediaDetection = ps.sensitiveMediaDetection;
}
if (ps.sensitiveMediaDetectionSensitivity !== undefined) {
set.sensitiveMediaDetectionSensitivity =
ps.sensitiveMediaDetectionSensitivity;
}
if (ps.setSensitiveFlagAutomatically !== undefined) {
set.setSensitiveFlagAutomatically = ps.setSensitiveFlagAutomatically;
}
if (ps.enableSensitiveMediaDetectionForVideos !== undefined) {
set.enableSensitiveMediaDetectionForVideos =
ps.enableSensitiveMediaDetectionForVideos;
}
if (ps.proxyAccountId !== undefined) {
set.proxyAccountId = ps.proxyAccountId;
}

View file

@ -123,7 +123,6 @@ export const paramDef = {
injectFeaturedNote: { type: "boolean" },
receiveAnnouncementEmail: { type: "boolean" },
alwaysMarkNsfw: { type: "boolean" },
autoSensitive: { type: "boolean" },
ffVisibility: { type: "string", enum: ["public", "followers", "private"] },
pinnedPageId: { type: "string", format: "misskey:id", nullable: true },
mutedWords: { type: "array" },
@ -217,8 +216,6 @@ export default define(meta, paramDef, async (ps, _user, token) => {
profileUpdates.receiveAnnouncementEmail = ps.receiveAnnouncementEmail;
if (typeof ps.alwaysMarkNsfw === "boolean")
profileUpdates.alwaysMarkNsfw = ps.alwaysMarkNsfw;
if (typeof ps.autoSensitive === "boolean")
profileUpdates.autoSensitive = ps.autoSensitive;
if (ps.emailNotificationTypes !== undefined)
profileUpdates.emailNotificationTypes = ps.emailNotificationTypes;

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@ -1,55 +0,0 @@
import * as fs from "node:fs";
import { fileURLToPath } from "node:url";
import { dirname } from "node:path";
import * as nsfw from "nsfwjs";
import si from "systeminformation";
const _filename = fileURLToPath(import.meta.url);
const _dirname = dirname(_filename);
const REQUIRED_CPU_FLAGS = ["avx2", "fma"];
let isSupportedCpu: undefined | boolean = undefined;
let model: nsfw.NSFWJS;
export async function detectSensitive(
path: string,
): Promise<nsfw.predictionType[] | null> {
try {
if (isSupportedCpu === undefined) {
const cpuFlags = await getCpuFlags();
isSupportedCpu = REQUIRED_CPU_FLAGS.every((required) =>
cpuFlags.includes(required),
);
}
if (!isSupportedCpu) {
console.error("This CPU cannot use TensorFlow.");
return null;
}
const tf = await import("@tensorflow/tfjs-node");
if (model == null)
model = await nsfw.load(`file://${_dirname}/../../nsfw-model/`, {
size: 299,
});
const buffer = await fs.promises.readFile(path);
const image = (await tf.node.decodeImage(buffer, 3)) as any;
try {
const predictions = await model.classify(image);
return predictions;
} finally {
image.dispose();
}
} catch (err) {
console.error(err);
return null;
}
}
async function getCpuFlags(): Promise<string[]> {
const str = await si.cpuFlags();
return str.split(/\s+/);
}

View file

@ -474,46 +474,9 @@ export async function addFile({
requestIp = null,
requestHeaders = null,
}: AddFileArgs): Promise<DriveFile> {
let skipNsfwCheck = false;
const instance = await fetchMeta();
if (user == null) skipNsfwCheck = true;
if (instance.sensitiveMediaDetection === "none") skipNsfwCheck = true;
if (
user &&
instance.sensitiveMediaDetection === "local" &&
Users.isRemoteUser(user)
)
skipNsfwCheck = true;
if (
user &&
instance.sensitiveMediaDetection === "remote" &&
Users.isLocalUser(user)
)
skipNsfwCheck = true;
const info = await getFileInfo(path, {
skipSensitiveDetection: skipNsfwCheck,
sensitiveThreshold: // 感度が高いほどしきい値は低くすることになる
instance.sensitiveMediaDetectionSensitivity === "veryHigh"
? 0.1
: instance.sensitiveMediaDetectionSensitivity === "high"
? 0.3
: instance.sensitiveMediaDetectionSensitivity === "low"
? 0.7
: instance.sensitiveMediaDetectionSensitivity === "veryLow"
? 0.9
: 0.5,
sensitiveThresholdForPorn: 0.75,
enableSensitiveMediaDetectionForVideos:
instance.enableSensitiveMediaDetectionForVideos,
});
const info = await getFileInfo(path);
logger.info(`${JSON.stringify(info)}`);
// 現状 false positive が多すぎて実用に耐えない
//if (info.porn && instance.disallowUploadWhenPredictedAsPorn) {
// throw new IdentifiableError('282f77bf-5816-4f72-9264-aa14d8261a21', 'Detected as porn.');
//}
// detect name
const detectedName =
name || (info.type.ext ? `untitled.${info.type.ext}` : "untitled");
@ -621,8 +584,6 @@ export async function addFile({
file.isLink = isLink;
file.requestIp = requestIp;
file.requestHeaders = requestHeaders;
file.maybeSensitive = info.sensitive;
file.maybePorn = info.porn;
file.isSensitive = user
? Users.isLocalUser(user) && profile!.alwaysMarkNsfw
? true
@ -631,10 +592,6 @@ export async function addFile({
: false
: false;
if (info.sensitive && profile!.autoSensitive) file.isSensitive = true;
if (info.sensitive && instance.setSensitiveFlagAutomatically)
file.isSensitive = true;
if (url != null) {
file.src = url;

View file

@ -29,114 +29,6 @@
<XBotProtection />
</FormFolder>
<FormFolder class="_formBlock">
<template #icon
><i :class="icon('ph-eye-slash')"></i
></template>
<template #label>{{
i18n.ts.sensitiveMediaDetection
}}</template>
<template
v-if="sensitiveMediaDetection === 'all'"
#suffix
>{{ i18n.ts.all }}</template
>
<template
v-else-if="sensitiveMediaDetection === 'local'"
#suffix
>{{ i18n.ts.localOnly }}</template
>
<template
v-else-if="sensitiveMediaDetection === 'remote'"
#suffix
>{{ i18n.ts.remoteOnly }}</template
>
<template v-else #suffix>{{ i18n.ts.none }}</template>
<div class="_formRoot">
<span class="_formBlock">{{
i18n.ts._sensitiveMediaDetection.description
}}</span>
<FormRadios
v-model="sensitiveMediaDetection"
class="_formBlock"
>
<option value="none">{{ i18n.ts.none }}</option>
<option value="all">{{ i18n.ts.all }}</option>
<option value="local">
{{ i18n.ts.localOnly }}
</option>
<option value="remote">
{{ i18n.ts.remoteOnly }}
</option>
</FormRadios>
<FormRange
v-model="sensitiveMediaDetectionSensitivity"
:min="0"
:max="4"
:step="1"
:text-converter="(v) => `${v + 1}`"
class="_formBlock"
>
<template #label>{{
i18n.ts._sensitiveMediaDetection.sensitivity
}}</template>
<template #caption>{{
i18n.ts._sensitiveMediaDetection
.sensitivityDescription
}}</template>
</FormRange>
<FormSwitch
v-model="enableSensitiveMediaDetectionForVideos"
class="_formBlock"
>
<template #label
>{{
i18n.ts._sensitiveMediaDetection
.analyzeVideos
}}<span class="_beta">{{
i18n.ts.beta
}}</span></template
>
<template #caption>{{
i18n.ts._sensitiveMediaDetection
.analyzeVideosDescription
}}</template>
</FormSwitch>
<FormSwitch
v-model="setSensitiveFlagAutomatically"
class="_formBlock"
>
<template #label
>{{
i18n.ts._sensitiveMediaDetection
.setSensitiveFlagAutomatically
}}
({{ i18n.ts.notRecommended }})</template
>
<template #caption>{{
i18n.ts._sensitiveMediaDetection
.setSensitiveFlagAutomaticallyDescription
}}</template>
</FormSwitch>
<!-- 現状 false positive が多すぎて実用に耐えない
<FormSwitch v-model="disallowUploadWhenPredictedAsPorn" class="_formBlock">
<template #label>{{ i18n.ts._sensitiveMediaDetection.disallowUploadWhenPredictedAsPorn }}</template>
</FormSwitch>
-->
<FormButton primary class="_formBlock" @click="save"
><i :class="icon('ph-floppy-disk-back')"></i>
{{ i18n.ts.save }}</FormButton
>
</div>
</FormFolder>
<FormFolder class="_formBlock">
<template #label>Active Email Validation</template>
<template v-if="enableActiveEmailValidation" #suffix
@ -253,10 +145,8 @@ import { computed, ref } from "vue";
import XBotProtection from "./bot-protection.vue";
import FormFolder from "@/components/form/folder.vue";
import FormRadios from "@/components/form/radios.vue";
import FormSwitch from "@/components/form/switch.vue";
import FormSuspense from "@/components/form/suspense.vue";
import FormRange from "@/components/form/range.vue";
import FormInput from "@/components/form/input.vue";
import FormTextarea from "@/components/form/textarea.vue";
import FormButton from "@/components/MkButton.vue";
@ -269,10 +159,6 @@ import icon from "@/scripts/icon";
const summalyProxy = ref("");
const enableHcaptcha = ref(false);
const enableRecaptcha = ref(false);
const sensitiveMediaDetection = ref("none");
const sensitiveMediaDetectionSensitivity = ref(0);
const setSensitiveFlagAutomatically = ref(false);
const enableSensitiveMediaDetectionForVideos = ref(false);
const enableIpLogging = ref(false);
const enableActiveEmailValidation = ref(false);
@ -285,22 +171,6 @@ async function init() {
summalyProxy.value = meta.summalyProxy;
enableHcaptcha.value = meta.enableHcaptcha;
enableRecaptcha.value = meta.enableRecaptcha;
sensitiveMediaDetection.value = meta.sensitiveMediaDetection;
sensitiveMediaDetectionSensitivity.value =
meta.sensitiveMediaDetectionSensitivity === "veryLow"
? 0
: meta.sensitiveMediaDetectionSensitivity === "low"
? 1
: meta.sensitiveMediaDetectionSensitivity === "medium"
? 2
: meta.sensitiveMediaDetectionSensitivity === "high"
? 3
: meta.sensitiveMediaDetectionSensitivity === "veryHigh"
? 4
: 0;
setSensitiveFlagAutomatically.value = meta.setSensitiveFlagAutomatically;
enableSensitiveMediaDetectionForVideos.value =
meta.enableSensitiveMediaDetectionForVideos;
enableIpLogging.value = meta.enableIpLogging;
enableActiveEmailValidation.value = meta.enableActiveEmailValidation;
@ -312,22 +182,6 @@ async function init() {
function save() {
os.apiWithDialog("admin/update-meta", {
summalyProxy: summalyProxy.value,
sensitiveMediaDetection: sensitiveMediaDetection.value,
sensitiveMediaDetectionSensitivity:
sensitiveMediaDetectionSensitivity.value === 0
? "veryLow"
: sensitiveMediaDetectionSensitivity.value === 1
? "low"
: sensitiveMediaDetectionSensitivity.value === 2
? "medium"
: sensitiveMediaDetectionSensitivity.value === 3
? "high"
: sensitiveMediaDetectionSensitivity.value === 4
? "veryHigh"
: 0,
setSensitiveFlagAutomatically: setSensitiveFlagAutomatically.value,
enableSensitiveMediaDetectionForVideos:
enableSensitiveMediaDetectionForVideos.value,
enableIpLogging: enableIpLogging.value,
enableActiveEmailValidation: enableActiveEmailValidation.value,
}).then(() => {

View file

@ -54,19 +54,6 @@
>
<template #label>{{ i18n.ts.alwaysMarkSensitive }}</template>
</FormSwitch>
<FormSwitch
v-model="autoSensitive"
class="_formBlock"
@update:modelValue="saveProfile()"
>
<template #label
>{{ i18n.ts.enableAutoSensitive
}}<span class="_beta">{{ i18n.ts.beta }}</span></template
>
<template #caption>{{
i18n.ts.enableAutoSensitiveDescription
}}</template>
</FormSwitch>
</FormSection>
</div>
</template>
@ -93,7 +80,6 @@ const usage = ref<any>(null);
const capacity = ref<any>(null);
const uploadFolder = ref<any>(null);
const alwaysMarkNsfw = ref<boolean>(isSignedIn && $i.alwaysMarkNsfw);
const autoSensitive = ref<boolean>(isSignedIn && $i.autoSensitive);
const meterStyle = computed(() => {
return {
@ -141,7 +127,6 @@ function chooseUploadFolder() {
function saveProfile() {
os.api("i/update", {
alwaysMarkNsfw: !!alwaysMarkNsfw.value,
autoSensitive: !!autoSensitive.value,
});
}

View file

@ -4,9 +4,6 @@ settings:
autoInstallPeers: true
excludeLinksFromLockfile: false
overrides:
chokidar: ^3.3.1
importers:
.:
@ -20,9 +17,6 @@ importers:
'@napi-rs/cli':
specifier: ^2.18.0
version: 2.18.0
'@tensorflow/tfjs':
specifier: ^4.17.0
version: 4.17.0(seedrandom@3.0.5)
js-yaml:
specifier: 4.1.0
version: 4.1.0
@ -126,9 +120,6 @@ importers:
'@sinonjs/fake-timers':
specifier: 11.2.2
version: 11.2.2
'@tensorflow/tfjs':
specifier: ^4.17.0
version: 4.17.0(seedrandom@3.0.5)
'@twemoji/parser':
specifier: ^15.0.0
version: 15.0.0
@ -174,9 +165,6 @@ importers:
chalk-template:
specifier: 1.1.0
version: 1.1.0
chokidar:
specifier: ^3.3.1
version: 3.3.1
cli-highlight:
specifier: 2.1.11
version: 2.1.11
@ -300,9 +288,6 @@ importers:
nodemailer:
specifier: 6.9.9
version: 6.9.9
nsfwjs:
specifier: 3.0.0
version: 3.0.0(@tensorflow/tfjs@4.17.0)
opencc-js:
specifier: ^1.0.5
version: 1.0.5
@ -421,13 +406,10 @@ importers:
'@swc/core-android-arm64':
specifier: 1.3.11
version: 1.3.11
'@tensorflow/tfjs-node':
specifier: 4.17.0
version: 4.17.0(seedrandom@3.0.5)
devDependencies:
'@swc/cli':
specifier: 0.1.65
version: 0.1.65(@swc/core@1.4.1)(chokidar@3.3.1)
version: 0.1.65(@swc/core@1.4.1)
'@swc/core':
specifier: 1.4.1
version: 1.4.1
@ -870,7 +852,7 @@ importers:
devDependencies:
'@swc/cli':
specifier: 0.1.65
version: 0.1.65(@swc/core@1.4.1)(chokidar@3.3.1)
version: 0.1.65(@swc/core@1.4.1)
'@swc/core':
specifier: 1.4.1
version: 1.4.1
@ -1034,7 +1016,7 @@ importers:
devDependencies:
'@swc/cli':
specifier: 0.1.65
version: 0.1.65(@swc/core@1.4.1)(chokidar@3.3.1)
version: 0.1.65(@swc/core@1.4.1)
'@swc/core':
specifier: 1.4.1
version: 1.4.1
@ -3222,26 +3204,6 @@ packages:
- encoding
- supports-color
/@mapbox/node-pre-gyp@1.0.9:
resolution: {integrity: sha512-aDF3S3rK9Q2gey/WAttUlISduDItz5BU3306M9Eyv6/oS40aMprnopshtlKTykxRNIBEZuRMaZAnbrQ4QtKGyw==}
hasBin: true
requiresBuild: true
dependencies:
detect-libc: 2.0.2
https-proxy-agent: 5.0.1
make-dir: 3.1.0
node-fetch: 2.6.12
nopt: 5.0.0
npmlog: 5.0.1
rimraf: 3.0.2
semver: 7.6.0
tar: 6.1.15
transitivePeerDependencies:
- encoding
- supports-color
dev: false
optional: true
/@microsoft/tsdoc-config@0.16.2:
resolution: {integrity: sha512-OGiIzzoBLgWWR0UdRJX98oYO+XKGf7tiK4Zk6tQ/E4IJqGCe7dvkTvgDZV5cFJUzLGDOjeAXrnZoA6QkVySuxw==}
dependencies:
@ -3621,20 +3583,19 @@ packages:
resolution: {integrity: sha512-Uy0+khmZqUrUGm5dmMqVlnvufZRSK0FbYzVgp0UMstm+F5+W2/jnEEQyc9vo1ZR/E5ZI/B1WjjoTqBqwJL6Krw==}
dev: false
/@swc/cli@0.1.65(@swc/core@1.4.1)(chokidar@3.3.1):
/@swc/cli@0.1.65(@swc/core@1.4.1):
resolution: {integrity: sha512-4NcgsvJVHhA7trDnMmkGLLvWMHu2kSy+qHx6QwRhhJhdiYdNUrhdp+ERxen73sYtaeEOYeLJcWrQ60nzKi6rpg==}
engines: {node: '>= 12.13'}
hasBin: true
peerDependencies:
'@swc/core': ^1.2.66
chokidar: ^3.3.1
chokidar: ^3.5.1
peerDependenciesMeta:
chokidar:
optional: true
dependencies:
'@mole-inc/bin-wrapper': 8.0.1
'@swc/core': 1.4.1
chokidar: 3.3.1
commander: 7.2.0
fast-glob: 3.3.1
minimatch: 9.0.3
@ -3791,116 +3752,6 @@ packages:
defer-to-connect: 2.0.1
dev: false
/@tensorflow/tfjs-backend-cpu@4.17.0(@tensorflow/tfjs-core@4.17.0):
resolution: {integrity: sha512-2VSCHnX9qhYTjw9HiVwTBSnRVlntKXeBlK7aSVsmZfHGwWE2faErTtO7bWmqNqw0U7gyznJbVAjlow/p+0RNGw==}
engines: {yarn: '>= 1.3.2'}
peerDependencies:
'@tensorflow/tfjs-core': 4.17.0
dependencies:
'@tensorflow/tfjs-core': 4.17.0
'@types/seedrandom': 2.4.30
seedrandom: 3.0.5
dev: false
/@tensorflow/tfjs-backend-webgl@4.17.0(@tensorflow/tfjs-core@4.17.0):
resolution: {integrity: sha512-CC5GsGECCd7eYAUaKq0XJ48FjEZdgXZWPxgUYx4djvfUx5fQPp35hCSP9w/k463jllBMbjl2tKRg8u7Ia/LYzg==}
engines: {yarn: '>= 1.3.2'}
peerDependencies:
'@tensorflow/tfjs-core': 4.17.0
dependencies:
'@tensorflow/tfjs-backend-cpu': 4.17.0(@tensorflow/tfjs-core@4.17.0)
'@tensorflow/tfjs-core': 4.17.0
'@types/offscreencanvas': 2019.3.0
'@types/seedrandom': 2.4.30
seedrandom: 3.0.5
dev: false
/@tensorflow/tfjs-converter@4.17.0(@tensorflow/tfjs-core@4.17.0):
resolution: {integrity: sha512-qFxIjPfomCuTrYxsFjtKbi3QfdmTTCWo+RvqD64oCMS0sjp7sUDNhJyKDoLx6LZhXlwXpHIVDJctLMRMwet0Zw==}
peerDependencies:
'@tensorflow/tfjs-core': 4.17.0
dependencies:
'@tensorflow/tfjs-core': 4.17.0
dev: false
/@tensorflow/tfjs-core@4.17.0:
resolution: {integrity: sha512-v9Q5430EnRpyhWNd9LVgXadciKvxLiq+sTrLKRowh26BHyAsams4tZIgX3lFKjB7b90p+FYifVMcqLTTHgjGpQ==}
engines: {yarn: '>= 1.3.2'}
dependencies:
'@types/long': 4.0.2
'@types/offscreencanvas': 2019.7.0
'@types/seedrandom': 2.4.30
'@webgpu/types': 0.1.38
long: 4.0.0
node-fetch: 2.6.12
seedrandom: 3.0.5
transitivePeerDependencies:
- encoding
dev: false
/@tensorflow/tfjs-data@4.17.0(@tensorflow/tfjs-core@4.17.0)(seedrandom@3.0.5):
resolution: {integrity: sha512-aPKrDFip+gXicWOFALeNT7KKQjRXFkHd/hNe/zs4mCFcIN00hy1PkZ6xkYsgrsdLDQMBSGeS4B4ZM0k5Cs88QA==}
peerDependencies:
'@tensorflow/tfjs-core': 4.17.0
seedrandom: ^3.0.5
dependencies:
'@tensorflow/tfjs-core': 4.17.0
'@types/node-fetch': 2.6.11
node-fetch: 2.6.12
seedrandom: 3.0.5
string_decoder: 1.3.0
transitivePeerDependencies:
- encoding
dev: false
/@tensorflow/tfjs-layers@4.17.0(@tensorflow/tfjs-core@4.17.0):
resolution: {integrity: sha512-DEE0zRKvf3LJ0EcvG5XouJYOgFGWYAneZ0K1d23969z7LfSyqVmBdLC6BTwdLKuJk3ouUJIKXU1TcpFmjDuh7g==}
peerDependencies:
'@tensorflow/tfjs-core': 4.17.0
dependencies:
'@tensorflow/tfjs-core': 4.17.0
dev: false
/@tensorflow/tfjs-node@4.17.0(seedrandom@3.0.5):
resolution: {integrity: sha512-lRe5XPwLzVgpLoxgKWWlqCX9uYybklMai3npgVcvniLQnd6JjkGx+RY2D+7jyQmdo1zJUACfxw3conP88OcBug==}
engines: {node: '>=8.11.0'}
requiresBuild: true
dependencies:
'@mapbox/node-pre-gyp': 1.0.9
'@tensorflow/tfjs': 4.17.0(seedrandom@3.0.5)
adm-zip: 0.5.10
google-protobuf: 3.21.2
https-proxy-agent: 2.2.4
progress: 2.0.3
rimraf: 2.7.1
tar: 4.4.19
transitivePeerDependencies:
- encoding
- seedrandom
- supports-color
dev: false
optional: true
/@tensorflow/tfjs@4.17.0(seedrandom@3.0.5):
resolution: {integrity: sha512-yXRBhpM3frlNA/YaPp6HNk9EfIi8han5RYeQA3R8OCa0Od+AfoG1PUmlxV8fE2wCorlGVyHsgpiJ6M9YZPB56w==}
hasBin: true
dependencies:
'@tensorflow/tfjs-backend-cpu': 4.17.0(@tensorflow/tfjs-core@4.17.0)
'@tensorflow/tfjs-backend-webgl': 4.17.0(@tensorflow/tfjs-core@4.17.0)
'@tensorflow/tfjs-converter': 4.17.0(@tensorflow/tfjs-core@4.17.0)
'@tensorflow/tfjs-core': 4.17.0
'@tensorflow/tfjs-data': 4.17.0(@tensorflow/tfjs-core@4.17.0)(seedrandom@3.0.5)
'@tensorflow/tfjs-layers': 4.17.0(@tensorflow/tfjs-core@4.17.0)
argparse: 1.0.10
chalk: 4.1.2
core-js: 3.29.1
regenerator-runtime: 0.13.11
yargs: 16.2.0
transitivePeerDependencies:
- encoding
- seedrandom
dev: false
/@tokenizer/token@0.3.0:
resolution: {integrity: sha512-OvjF+z51L3ov0OyAU0duzsYuvO01PH7x4t6DJx+guahgTnBHkhJdG7soQeTSFLWN3efnHyibZ4Z8l2EuWwJN3A==}
@ -4323,10 +4174,6 @@ packages:
'@types/koa': 2.14.0
dev: true
/@types/long@4.0.2:
resolution: {integrity: sha512-MqTGEo5bj5t157U6fA/BiDynNkn0YknVdh48CMPkTSpFTVmvao5UQmm7uEF6xBEo7qIMAlY/JSleYaE6VOdpaA==}
dev: false
/@types/matter-js@0.19.6:
resolution: {integrity: sha512-ffk6tqJM5scla+ThXmnox+mdfCo3qYk6yMjQsNcrbo6eQ5DqorVdtnaL+1agCoYzxUjmHeiNB7poBMAmhuLY7w==}
dev: true
@ -4366,6 +4213,7 @@ packages:
dependencies:
'@types/node': 20.11.18
form-data: 4.0.0
dev: true
/@types/node@18.11.18:
resolution: {integrity: sha512-DHQpWGjyQKSHj3ebjFI/wRKcqQcdR+MoFBygntYOZytCqNfkd2ZC4ARDJ2DQqhjH5p85Nnd3jhUJIXrszFX/JA==}
@ -4402,14 +4250,6 @@ packages:
resolution: {integrity: sha512-iF6qYKjYdg/kFg3AEM/msyh1+U4zZW043d2TnCS9fwib00nc8Asj+38LgIpkO/UpfUMRgJ0m/tHATwU2F8Bfow==}
dev: true
/@types/offscreencanvas@2019.3.0:
resolution: {integrity: sha512-esIJx9bQg+QYF0ra8GnvfianIY8qWB0GBx54PK5Eps6m+xTj86KLavHv6qDhzKcu5UUOgNfJ2pWaIIV7TRUd9Q==}
dev: false
/@types/offscreencanvas@2019.7.0:
resolution: {integrity: sha512-PGcyveRIpL1XIqK8eBsmRBt76eFgtzuPiSTyKHZxnGemp2yzGzWpjYKAfK3wIMiU7eH+851yEpiuP8JZerTmWg==}
dev: false
/@types/opencc-js@1.0.3:
resolution: {integrity: sha512-TENp7YkI2hNlc4dplhivSHj0hU4DORCK56VY7rniaSfA5f87uD3uv+kPIRuH9h64TGv976iVFi4gEHZZtS2y8Q==}
dev: true
@ -4484,10 +4324,6 @@ packages:
htmlparser2: 8.0.2
dev: true
/@types/seedrandom@2.4.30:
resolution: {integrity: sha512-AnxLHewubLVzoF/A4qdxBGHCKifw8cY32iro3DQX9TPcetE95zBeVt3jnsvtvAUf1vwzMfwzp4t/L2yqPlnjkQ==}
dev: false
/@types/seedrandom@3.0.8:
resolution: {integrity: sha512-TY1eezMU2zH2ozQoAFAQFOPpvP15g+ZgSfTZt31AUUH/Rxtnz3H+A/Sv1Snw2/amp//omibc+AEkTaA8KUeOLQ==}
dev: true
@ -5215,10 +5051,6 @@ packages:
'@xtuc/long': 4.2.2
dev: true
/@webgpu/types@0.1.38:
resolution: {integrity: sha512-7LrhVKz2PRh+DD7+S+PVaFd5HxaWQvoMqBbsV9fNJO1pjUs1P8bM2vQVNfk+3URTqbuTI7gkXi0rfsN0IadoBA==}
dev: false
/@xtuc/ieee754@1.2.0:
resolution: {integrity: sha512-DX8nKgqcGwsc0eJSqYt5lwP4DH5FlHnmuWWBRy7X0NcaGR0ZtuyeESgMwTYVEtxmsNGY+qit4QYT/MIYTOTPeA==}
dev: true
@ -5308,15 +5140,6 @@ packages:
engines: {node: '>=6.0'}
dev: false
/agent-base@4.3.0:
resolution: {integrity: sha512-salcGninV0nPrwpGNn4VTXBb1SOuXQBiqbrNXoeizJsHrsL6ERFM2Ne3JUSBWRE6aeNJI2ROP/WEEIDUiDe3cg==}
engines: {node: '>= 4.0.0'}
requiresBuild: true
dependencies:
es6-promisify: 5.0.0
dev: false
optional: true
/agent-base@6.0.2:
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@ -16538,6 +16293,7 @@ packages:
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