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Clean up legacy 0.3.5 scaffolding and standalone-mode artifacts

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- Removes start9/0.4/ — the StartOS 0.3.5-style YAML manifest folder,
  superseded by the TypeScript-based startos/ package.
- Removes pre-StartOS standalone-mode artifacts: setup.sh, create-app.sh,
  Start Summarizer.command, build-guide-pdf.py, GET-STARTED.md/.pdf.
- Removes conversion-era design docs (START9_PACKAGING_GAMEPLAN.md,
  UPGRADE-DESIGN.md, KEYSAT_INTEGRATION.md). Recoverable from history if
  needed.
- Tightens .gitignore: untracks node_modules, javascript/ build output,
  *.s9pk, history/ user data, cookies.txt, library export, .env, .DS_Store,
  and .claude/ worktree state. Files remain on disk; just removed from
  the index.
This commit is contained in:
Keysat
2026-05-08 09:41:42 -05:00
parent 574a16d9fa
commit 154d692371
6068 changed files with 24 additions and 1417338 deletions
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.DS_Store
Vendored
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# prompt. Written by Claude after code changes, consumed + deleted on the
# next `make deploy` / `make bump`.
.release-notes-pending.txt
# OS
.DS_Store
# Node
node_modules/
# Build artifacts (regenerated by `make` / `npm run build`)
javascript/
*.s9pk
image.tar
# Runtime / user data — must never be committed
history/
cookies.txt
*.txt.bak
youtube-summarizer-library-export*.json
ytdlp-cache/
# Local dev secrets
.env
# Claude Code state (worktrees, plans, etc.)
.claude/
GET-STARTED.md
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# YouTube Transcript Summarizer — Mac Setup Guide
This is a step-by-step guide to get the app running on your Mac. No prior experience with servers or Terminal needed.
---
## What you're setting up
This app has two parts:
1. **A small server** that runs locally on your Mac (not on the internet — only you can access it). It downloads YouTube audio and talks to Google's Gemini AI.
2. **A webpage** you open in your browser that connects to that local server.
Nothing is uploaded anywhere. Everything runs on your machine.
---
## Where to save the project
The `youtube-summarizer` folder you downloaded from Cowork can live anywhere, but the conventional place for projects like this on a Mac is:
```
~/Projects/youtube-summarizer
```
`~` means your home folder (e.g., `/Users/grant`). If you don't have a `Projects` folder yet, you'll create one below.
**To move the files there:**
1. Open **Finder**
2. Go to your home folder (press `Cmd + Shift + H`)
3. Create a new folder called `Projects` if you don't have one (right-click → New Folder)
4. Drag the `youtube-summarizer` folder from your Cowork downloads into `Projects`
You should end up with this structure:
```
~/Projects/youtube-summarizer/
├── public/
│ └── index.html ← the app you open in your browser
├── server/
│ ├── index.js ← the backend server code
│ └── package.json ← lists the server's dependencies
├── setup.sh ← automatic setup script
└── GET-STARTED.md ← this file
```
---
## Step 1: Install Node.js (if you don't have it)
Node.js is what runs the server. Check if you already have it:
1. Open **Terminal** (press `Cmd + Space`, type "Terminal", hit Enter)
2. Type this and press Enter:
```bash
node --version
```
- If you see a version number like `v20.11.0` → you're good, skip to Step 2
- If you see "command not found" → install it:
1. Go to **https://nodejs.org**
2. Download the **LTS** version (the green button)
3. Open the downloaded `.pkg` file and follow the installer
4. Close and reopen Terminal, then try `node --version` again
---
## Step 2: Run the setup script
This installs yt-dlp (the YouTube audio downloader) and the server's dependencies. In Terminal:
```bash
cd ~/Projects/youtube-summarizer
bash setup.sh
```
You should see checkmarks for Node.js, yt-dlp, and the server dependencies. If yt-dlp isn't found and can't auto-install, run:
```bash
brew install yt-dlp
```
(If you don't have Homebrew either, install it first from **https://brew.sh** — it's a one-line Terminal command shown on their homepage.)
---
## Step 3: Start the server
```bash
cd ~/Projects/youtube-summarizer/server
npm start
```
You should see:
```
YouTube Summarizer API running on http://localhost:3001
✓ yt-dlp 2025.x.x (up to date)
```
**Leave this Terminal window open.** The server runs as long as this window is open. To stop it later, press `Ctrl + C`.
---
## Step 4: Open the app
Open the webpage in your browser. The easiest way — open a **new** Terminal tab (`Cmd + T`) and run:
```bash
open ~/Projects/youtube-summarizer/public/index.html
```
Or just double-click `index.html` in Finder. It opens like any webpage.
---
## Step 5: Add your Gemini API key
1. In the app, click **"Gemini API Settings"** to expand it
2. Paste your Gemini API key into the API Key field
3. Pick a model (the default `gemini-2.0-flash` is fast and cheap)
**Don't have a key yet?** Get one free:
1. Go to **https://aistudio.google.com/apikey**
2. Sign in with your Google account
3. Click "Create API Key"
4. Copy the key and paste it in the app
Your key is saved in your browser's localStorage so you don't have to re-enter it each time.
---
## Step 6: Summarize a video
1. Paste a YouTube URL
2. Click **Summarize**
3. Watch the 3-step pipeline: Download audio → Transcribe → Analyze topics
4. Click any topic section to expand the full transcript with clickable timestamps
---
## Day-to-day usage
Each time you want to use the app:
1. Open Terminal
2. Run:
```bash
cd ~/Projects/youtube-summarizer/server && npm start
```
3. Open `index.html` in your browser (bookmark it for easy access)
4. When done, press `Ctrl + C` in Terminal to stop the server
That's it. Two commands.
---
## Troubleshooting
**"Cannot connect to backend at localhost:3001"**
→ The server isn't running. Go back to Step 3.
**"yt-dlp not installed"**
→ Run `brew install yt-dlp` in Terminal, then restart the server.
**Download fails or hangs**
→ yt-dlp might be outdated. The app will try to auto-update it, but you can also manually run:
```bash
yt-dlp -U
```
**"Gemini API error: 403" or "401"**
→ Your API key is invalid or expired. Get a new one from https://aistudio.google.com/apikey
**Long videos take a while**
→ Normal. A 1-hour video takes ~30 seconds to download audio, then 30-60 seconds for Gemini to transcribe, then another 10-20 seconds for topic analysis. The app shows live progress.
---
## Optional: Make it even easier to start
You can create a shortcut so you just double-click to launch everything. In Terminal:
```bash
cat > ~/Projects/youtube-summarizer/start.command << 'EOF'
#!/bin/bash
cd "$(dirname "$0")/server"
echo "Starting YouTube Summarizer..."
echo "Press Ctrl+C to stop."
echo ""
npm start
EOF
chmod +x ~/Projects/youtube-summarizer/start.command
```
Now you have a `start.command` file in the project folder. Double-click it to launch the server — it opens Terminal automatically. Then just open `index.html` in your browser.
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# YouTube Summarizer: StartOS 0.4.0 Packaging Game Plan
**Date:** April 9, 2026
**Status:** Feasibility Assessment & Implementation Roadmap
**Target:** StartOS 0.4.0 Beta (s9pk package format)
**Reference:** Workout Log packaging for StartOS 0.3.5
---
## Executive Summary
Packaging the YouTube Summarizer for StartOS 0.4.0 is **feasible** but presents unique challenges that a typical web app does not. The app is more than a simple CRUD service -- it downloads audio from YouTube (requiring yt-dlp to always be current), authenticates against YouTube to bypass bot detection, transcribes audio via the Gemini API, and manages podcast RSS feeds. Running this on a headless remote server introduces three core challenges that require thoughtful solutions:
1. **yt-dlp must stay current** -- YouTube changes its anti-bot signatures regularly, so a stale yt-dlp binary means broken downloads within days or weeks.
2. **YouTube authentication without a local browser** -- The current app relies on cookies from your local browser or a cookies.txt file. A remote server has no browser session.
3. **Server/datacenter IP reputation** -- YouTube is more aggressive about blocking downloads from non-residential IPs.
All three are solvable. This document lays out the approach for each, plus the full packaging plan.
---
## Table of Contents
1. [Current App Architecture](#1-current-app-architecture)
2. [What Changes for StartOS](#2-what-changes-for-startos)
3. [Challenge 1: Keeping yt-dlp Updated](#3-challenge-1-keeping-yt-dlp-updated)
4. [Challenge 2: YouTube Authentication on a Headless Server](#4-challenge-2-youtube-authentication-on-a-headless-server)
5. [Challenge 3: Server IP Bot Detection](#5-challenge-3-server-ip-bot-detection)
6. [StartOS 0.4.0 Packaging Structure](#6-startos-040-packaging-structure)
7. [Differences from v0.3.5 Packaging (Workout Log)](#7-differences-from-v035-packaging-workout-log)
8. [Implementation Phases](#8-implementation-phases)
9. [Persistent Data Contract](#9-persistent-data-contract)
10. [Ongoing Maintenance Plan](#10-ongoing-maintenance-plan)
11. [Risk Assessment](#11-risk-assessment)
12. [Multi-User Distribution: API Keys and Clean Installs](#12-multi-user-distribution-api-keys-and-clean-installs)
13. [Appendix A: File-by-File Packaging Checklist](#appendix-a-file-by-file-packaging-checklist)
14. [Appendix B: Reusable Packaging Roadmap for Future Apps](#appendix-b-reusable-packaging-roadmap-for-future-apps)
---
## 1. Current App Architecture
The YouTube Summarizer is a Node.js application with these components:
**Backend (server/index.js -- ~1800 lines):**
- Express.js server on port 3001
- Calls yt-dlp as a child process to download audio from YouTube
- Downloads podcast episodes directly via HTTP
- Uploads audio to Google Gemini File API for transcription
- Runs topic analysis via Gemini (multiple model fallback chain)
- Manages subscriptions (YouTube channels + podcast RSS feeds)
- Auto-queue system: checks subscriptions for new content, queues for approval
- Cookie management: supports cookies.txt file and --cookies-from-browser flag
- yt-dlp auto-update: checks GitHub releases every 24h, updates via self-update / brew / pip
- History storage: JSON files on disk (not a database)
- Health check endpoint at /api/health
- Heartbeat/auto-sleep system (shuts down when no browser connected for 30s)
**Frontend (public/index.html):**
- Single-page app, served as static files by Express
- Split-screen layout: video embed + topic summaries
- Subscription management UI
- Cookie upload/test UI
- Settings panel for API key and model selection
**External Dependencies:**
- yt-dlp (system binary, called via child_process)
- ffmpeg (required by yt-dlp for audio extraction)
- Node.js 20+
- Google Gemini API (requires API key)
**Data Storage (all in /history/ directory):**
- Individual summary JSON files (one per processed video/podcast)
- subscriptions.json (channel/feed list)
- _meta.json (folder structure for organizing summaries)
- seen-list.json, skip-list.json (dedup tracking)
- auto-queue.json (pending items from subscription checks)
- cookies.txt (YouTube authentication)
- .env (Gemini API key, cookie browser preference)
---
## 2. What Changes for StartOS
### Things That Work As-Is
- The Express server, Gemini API integration, and frontend are platform-agnostic
- Podcast RSS feed parsing (direct HTTP, no auth needed)
- History/subscription JSON storage
- Health check endpoint
### Things That Need Adaptation
| Current Behavior | StartOS Adaptation |
|---|---|
| Runs on macOS with Homebrew | Docker container on Alpine Linux (ARM64) |
| yt-dlp installed via brew | yt-dlp installed via pip in container, self-updates at runtime |
| Cookies from local Firefox/Chrome | cookies.txt uploaded via web UI (already supported) + OAuth2 |
| Auto-sleep when no browser connected | Remove sleep logic; service runs continuously |
| Hardcoded port 3001 | Configurable, default 3001, mapped via StartOS interfaces |
| .env file for config | StartOS config UI (manifest config spec) |
| macOS .app bundle / launcher | Not needed; StartOS manages service lifecycle |
| LAN mode dialog | Not needed; StartOS handles network exposure (Tor + LAN) |
---
## 3. Challenge 1: Keeping yt-dlp Updated
### The Problem
YouTube frequently changes its download mechanisms and anti-bot measures. A yt-dlp version that works today may stop working within 1-2 weeks. The app already handles this with a multi-strategy auto-update (self-update, brew, pip), but inside a Docker container on StartOS, brew is not available and we need a reliable update path.
### The Solution: Runtime Self-Update with Persistent Storage
**Strategy:**
1. Install yt-dlp via pip at Docker **build time** (gives a known-good starting point)
2. Store the yt-dlp binary on the **persistent volume** (`/data/bin/yt-dlp`) so updates survive container restarts
3. On each container start, check if the persistent binary exists and is newer than the built-in one; use whichever is newer
4. The existing auto-update logic runs `yt-dlp -U` (self-update) which writes to the pip site-packages, but we can also add a dedicated update mechanism that downloads the latest binary directly from GitHub releases to `/data/bin/yt-dlp`
**Implementation in docker_entrypoint.sh:**
```bash
#!/bin/sh
set -eu
DATA_DIR="/data"
BIN_DIR="$DATA_DIR/bin"
YTDLP_LOCAL="$BIN_DIR/yt-dlp"
mkdir -p "$BIN_DIR" "$DATA_DIR/history" "$DATA_DIR/config"
# Use persistent yt-dlp if available, otherwise fall back to system
if [ -x "$YTDLP_LOCAL" ]; then
export PATH="$BIN_DIR:$PATH"
echo "Using persistent yt-dlp: $($YTDLP_LOCAL --version)"
else
echo "Using system yt-dlp: $(yt-dlp --version)"
fi
# Start the Node.js server
exec node /app/server/index.js
```
**Auto-update enhancement in server code:**
- Modify `autoUpdateYtdlp()` to: (1) try `yt-dlp -U`, (2) try `pip install -U yt-dlp`, (3) as a last resort, download the latest binary directly from `https://github.com/yt-dlp/yt-dlp/releases/latest/download/yt-dlp` and save to `/data/bin/yt-dlp`
- Add a scheduled check: on server startup and every 12 hours, check for updates
- Expose update status in the health check endpoint so StartOS can surface it
**Why this works on StartOS:**
- `/data` is the persistent StartOS volume; it survives container restarts and package upgrades
- The container image provides a baseline yt-dlp that works at build time
- Runtime updates keep it fresh without rebuilding the entire package
- If a runtime update breaks something, removing `/data/bin/yt-dlp` reverts to the built-in version
### Also: ffmpeg
ffmpeg is a build-time dependency (Alpine package `ffmpeg`). It rarely needs updates for this use case, so installing it in the Dockerfile is sufficient. It is updated whenever you rebuild and push a new package version.
---
## 4. Challenge 2: YouTube Authentication on a Headless Server
### The Problem
YouTube increasingly requires authentication to download content. The current app supports two methods:
1. **cookies.txt file** -- a Netscape-format cookie export from a browser
2. **--cookies-from-browser** -- reads cookies directly from a local browser's cookie store
On a remote StartOS server, there is no local browser, so method 2 is unavailable.
### The Solution: Three-Tier Authentication
**Tier 1: OAuth2 Device Flow (Primary -- Best Option)**
yt-dlp now supports OAuth2 authentication with a device code flow, which is perfect for headless servers:
```bash
yt-dlp --username oauth --password '' <URL>
```
How it works:
- On first use, yt-dlp prints a code and a URL (https://www.google.com/device)
- The user opens that URL on any device (phone, laptop) and enters the code
- A refresh token is cached in yt-dlp's cache directory
- All subsequent downloads use the cached token -- no further interaction needed
For StartOS integration:
- Mount yt-dlp's cache directory on the persistent volume (`/data/ytdlp-cache/`)
- Add a "Setup YouTube Auth" action in the StartOS manifest that triggers the OAuth flow and displays the device code in the service logs or a dedicated endpoint
- Build a simple UI page in the web frontend that shows the device code and instructions
- The token persists across restarts because it lives on `/data`
**Tier 2: cookies.txt Upload (Fallback)**
The app already has a full cookies.txt management system via the web UI:
- Upload endpoint: POST /api/cookies/upload
- Test endpoint: POST /api/cookies/test
- Status endpoint: GET /api/cookies/status
- Delete endpoint: POST /api/cookies/delete
This works on StartOS as-is. The cookies.txt file should be stored on the persistent volume (`/data/cookies.txt`) instead of the project root.
**Important caveat:** YouTube cookies expire in approximately 3-5 days. This means the user would need to re-export and re-upload cookies regularly. This is why OAuth2 is the recommended primary method.
**Tier 3: No Authentication (Limited)**
Some YouTube content can be downloaded without any authentication. The app already handles this gracefully -- it attempts download without cookies if cookie-based download fails. This will work for some videos but not all, especially age-restricted or bot-flagged content.
### Implementation Priority
1. Add OAuth2 support to the server code (new endpoint to initiate flow, display code, check status)
2. Move cookies.txt storage to persistent volume
3. Remove --cookies-from-browser logic (not applicable on remote server)
4. Add a clear "Authentication Setup" section in the web UI that guides through OAuth2 first, cookies.txt as backup
---
## 5. Challenge 3: Server IP Bot Detection
### The Problem
YouTube maintains IP reputation databases. Residential ISP IPs (like your home connection) are generally trusted, but datacenter IPs are frequently flagged. A Start9 server running at home on your residential IP should actually be fine -- this is a significant advantage of self-hosted infrastructure.
### Assessment: Low Risk for Start9 Home Servers
**Start9 servers typically run at home on a residential IP.** This means:
- The server's IP is a normal residential ISP address
- YouTube treats these the same as any home computer
- Bot detection is primarily triggered by datacenter/cloud IPs (AWS, GCP, Azure, etc.)
- Rate limiting may still occur with heavy usage, but this is the same as running the app on your Mac
**When it could be a problem:**
- If you access the Start9 server through a VPN and route yt-dlp traffic through the VPN
- If your ISP uses CGNAT (carrier-grade NAT) which shares IPs with many users
- If you process a very high volume of downloads in a short period
### Mitigation Strategies (Built Into the App)
The app already has several mitigations that carry over directly:
1. **Retry with exponential backoff** -- the download logic already retries with 30s, 60s, 120s delays when rate-limited
2. **Cookie/OAuth authentication** -- authenticated requests are less likely to trigger bot detection
3. **yt-dlp auto-update** -- newer yt-dlp versions include workarounds for the latest YouTube anti-bot measures
**Additional measures to add for StartOS:**
1. **Rate limiting between downloads** -- when processing auto-queue items from subscriptions, add configurable delays between downloads (e.g., 30-60 seconds between videos)
2. **Download scheduling** -- spread subscription checks and downloads across the day rather than bursting
3. **Proxy support (optional)** -- add a config option for users to specify a SOCKS5 or HTTP proxy if they want to route yt-dlp traffic through a specific connection. This is an advanced option, not required for most users.
4. **Browser impersonation** -- yt-dlp supports `--impersonate chrome` which mimics Chrome's TLS fingerprint. Add this as a default argument.
### Summary
For a home Start9 server, YouTube bot detection is **not a significant concern**. The residential IP is the same one you'd be using from your Mac. Combined with OAuth2 authentication and yt-dlp staying current, this should work reliably.
---
## 6. StartOS 0.4.0 Packaging Structure
### Key Changes from 0.3.5
StartOS 0.4.0 is a complete rewrite. The major packaging-relevant changes:
| Aspect | 0.3.5 | 0.4.0 |
|---|---|---|
| Container runtime | Podman | LXC (Linux Containers) |
| Package format | s9pk (same name, different internals) | s9pk with signatures, partial downloads, multi-arch |
| Dev tooling | Shell/make-based | TypeScript SDK available |
| Networking | Tor + LAN | Same, with improved LAN port forwarding |
| Backups | Not compatible across versions | Fresh backups required after migration |
### Package Files Needed
Based on the workout-log template and v0.4.0 documentation:
```
start9/
0.4/
manifest.yaml # Service metadata, config spec, interfaces
Dockerfile # Multi-stage build for ARM64
docker_entrypoint.sh # Service startup script
healthcheck.sh # Health check script
Makefile # Build automation
instructions.md # User-facing documentation
LICENSE # License file
icon.png # Service icon
DEPLOY.md # Deploy/sideload instructions
```
### Draft manifest.yaml
```yaml
id: youtube-summarizer
title: YouTube Summarizer
version: 0.1.0.1
release-notes: >-
Initial StartOS package. YouTube/podcast audio download,
transcription via Gemini, and topic analysis.
license: Proprietary
wrapper-repo: https://github.com/user/youtube-summarizer-startos
upstream-repo: https://github.com/user/youtube-summarizer
support-site: https://github.com/user/youtube-summarizer/issues
marketing-site: https://github.com/user/youtube-summarizer
build: ["make image-arm"]
description:
short: Download, transcribe, and summarize YouTube videos and podcasts.
long: >-
YouTube Summarizer downloads audio from YouTube videos and podcast feeds,
transcribes them using Google Gemini, and produces structured topic
summaries. Supports subscriptions with automatic new episode detection,
organized history with folders, and a responsive web interface.
assets:
license: LICENSE
icon: icon.png
instructions: instructions.md
docker-images: image.tar
main:
type: docker
image: main
entrypoint: docker_entrypoint.sh
args: []
mounts:
main: /data
health-checks:
main:
name: API health
success-message: YouTube Summarizer is responding.
type: docker
image: main
entrypoint: healthcheck.sh
args: []
inject: true
config:
get:
type: docker
image: main
system: false
entrypoint: sh
args:
- -c
- cat /data/config/startos-config.json 2>/dev/null || echo '{}'
set:
type: docker
image: main
system: false
entrypoint: sh
args:
- -c
- cat > /data/config/startos-config.json
dependencies: {}
volumes:
main:
type: data
interfaces:
main:
name: Web Interface
description: Browser UI for YouTube Summarizer.
tor-config:
port-mapping:
80: "3001"
lan-config:
443:
ssl: true
internal: 3001
ui: true
protocols: [tcp, http, https]
backup:
create:
type: docker
image: main
system: false
entrypoint: sh
args:
- -c
- |
set -eu
rm -rf /backup/*
cp -a /data/. /backup/
mounts:
main: /data
BACKUP: /backup
restore:
type: docker
image: main
system: false
entrypoint: sh
args:
- -c
- |
set -eu
cp -a /backup/. /data/
mounts:
main: /data
BACKUP: /backup
actions:
update-ytdlp:
name: Update yt-dlp
description: Downloads the latest version of yt-dlp for YouTube compatibility.
warning: This may take a minute. Service will continue running.
implementation:
type: docker
image: main
system: false
entrypoint: sh
args:
- -c
- pip install --upgrade yt-dlp && yt-dlp --version
inject: true
```
### Draft Dockerfile
```dockerfile
FROM node:20-alpine AS builder
WORKDIR /app
# Copy server package files and install deps
COPY server/package.json server/package-lock.json ./server/
RUN cd server && npm ci --production
# Copy application files
COPY server/index.js ./server/
COPY public/ ./public/
COPY assets/ ./assets/
FROM node:20-alpine AS runner
WORKDIR /app
RUN apk add --no-cache \
dumb-init \
curl \
python3 \
py3-pip \
ffmpeg \
&& pip3 install --break-system-packages yt-dlp \
&& addgroup -S appgroup -g 1001 \
&& adduser -S appuser -u 1001 -G appgroup
# Copy app from builder
COPY --from=builder --chown=appuser:appgroup /app ./
# Copy StartOS scripts
COPY start9/0.4/docker_entrypoint.sh /usr/local/bin/docker_entrypoint.sh
COPY start9/0.4/healthcheck.sh /usr/local/bin/healthcheck.sh
RUN chmod +x /usr/local/bin/docker_entrypoint.sh /usr/local/bin/healthcheck.sh
# Create data directory
RUN mkdir -p /data && chown -R appuser:appgroup /data
ENV NODE_ENV=production \
PORT=3001
EXPOSE 3001
ENTRYPOINT ["dumb-init", "--", "/usr/local/bin/docker_entrypoint.sh"]
```
### Draft docker_entrypoint.sh
```bash
#!/bin/sh
set -eu
DATA_DIR="/data"
HISTORY_DIR="$DATA_DIR/history"
CONFIG_DIR="$DATA_DIR/config"
BIN_DIR="$DATA_DIR/bin"
CACHE_DIR="$DATA_DIR/ytdlp-cache"
COOKIES_PATH="$DATA_DIR/cookies.txt"
# Create directory structure
mkdir -p "$HISTORY_DIR" "$CONFIG_DIR" "$BIN_DIR" "$CACHE_DIR"
# Use persistent yt-dlp binary if it exists and is executable
if [ -x "$BIN_DIR/yt-dlp" ]; then
export PATH="$BIN_DIR:$PATH"
fi
# Point yt-dlp cache to persistent storage (for OAuth tokens, etc.)
export XDG_CACHE_HOME="$CACHE_DIR"
# Load config from StartOS config file if it exists
if [ -f "$CONFIG_DIR/startos-config.json" ]; then
# Extract Gemini API key from config
GEMINI_KEY=$(cat "$CONFIG_DIR/startos-config.json" | python3 -c "import sys,json; print(json.load(sys.stdin).get('gemini_api_key',''))" 2>/dev/null || echo "")
if [ -n "$GEMINI_KEY" ]; then
export GEMINI_API_KEY="$GEMINI_KEY"
fi
fi
# Also check for .env in data dir
if [ -f "$DATA_DIR/.env" ]; then
export $(grep -v '^#' "$DATA_DIR/.env" | xargs)
fi
export PORT="${PORT:-3001}"
export HOSTNAME="0.0.0.0"
echo "Starting YouTube Summarizer..."
echo " yt-dlp version: $(yt-dlp --version 2>/dev/null || echo 'not found')"
echo " ffmpeg: $(ffmpeg -version 2>/dev/null | head -1 || echo 'not found')"
echo " Data dir: $DATA_DIR"
exec node /app/server/index.js
```
---
## 7. Differences from v0.3.5 Packaging (Workout Log)
The workout-log package was a relatively straightforward Next.js app with a SQLite database. YouTube Summarizer is significantly more complex:
| Aspect | Workout Log (0.3.5) | YouTube Summarizer (0.4.0) |
|---|---|---|
| App framework | Next.js + Prisma + SQLite | Express.js + JSON files |
| External binaries | None | yt-dlp, ffmpeg |
| External APIs | None | Google Gemini API |
| Authentication | App-level (user/pass) | YouTube OAuth + cookies |
| Data storage | Single SQLite DB | Multiple JSON files + temp audio |
| Network access | Inbound only | Inbound + outbound (YouTube, Gemini, RSS) |
| Binary updates | None needed | yt-dlp must stay current |
| Temp file management | None | Large audio files downloaded and cleaned up |
| Container size | Small (~100MB) | Larger (~300-500MB with ffmpeg + yt-dlp + Python) |
### Key Differences in Packaging Approach
1. **Outbound network access:** The workout-log only needed to accept inbound connections. YouTube Summarizer needs outbound access to YouTube, Google Gemini API, and podcast RSS feeds. StartOS containers have outbound network access by default, so this works, but it's worth verifying in the 0.4.0 LXC environment.
2. **Larger image size:** Adding Python, pip, yt-dlp, and ffmpeg significantly increases the Docker image. Expect 300-500MB vs. ~100MB for workout-log. This is acceptable but worth minimizing where possible.
3. **Runtime binary management:** The entrypoint must handle a mutable binary (yt-dlp) that updates at runtime. The workout-log had no such requirement.
4. **Temporary file cleanup:** Audio files are downloaded to /tmp during processing and should be cleaned up. Need to ensure the container's /tmp has sufficient space or use the persistent volume with cleanup logic.
5. **Config complexity:** Workout-log had no configuration. YouTube Summarizer needs at minimum a Gemini API key, and optionally proxy settings, download rate limits, and authentication preferences. This maps to the StartOS config spec in the manifest.
---
## 8. Implementation Phases
### Phase 1: Prepare the App for Headless Operation (Estimated: 1-2 days)
Code changes to server/index.js before any packaging work:
1. **Remove auto-sleep logic** -- the heartbeat/sleep system is designed for a desktop app that shuts down when you close the browser. On StartOS, the service should run continuously.
2. **Move all data paths to a configurable base directory** -- currently paths are relative to the project root. Change to use an environment variable (e.g., `DATA_DIR=/data`) so the persistent volume can be targeted.
3. **Add OAuth2 authentication flow** -- new endpoints:
- POST /api/auth/oauth/start -- initiates OAuth device flow, returns device code
- GET /api/auth/oauth/status -- checks if OAuth token has been cached
- The web UI gets a new "Authentication" section in Settings
4. **Enhance yt-dlp update logic for Linux/container** -- remove Homebrew strategy, add direct binary download from GitHub releases as a fallback.
5. **Add download rate limiting** -- configurable delay between auto-queue downloads (default 30s).
6. **Add browser impersonation flag** -- pass `--impersonate chrome` to yt-dlp by default when available.
7. **Remove macOS-specific code** -- the .app bundle creation, osascript dialogs, LAN mode prompt, etc. are not needed.
### Phase 2: Create the StartOS Package Scaffold (Estimated: 1 day)
1. Create `start9/0.4/` directory with all packaging files (see Section 6)
2. Write Dockerfile with multi-stage build
3. Write docker_entrypoint.sh
4. Write healthcheck.sh
5. Write manifest.yaml with full config spec
6. Write instructions.md
7. Copy icon.png
8. Create Makefile
### Phase 3: Build, Test, and Iterate (Estimated: 2-3 days)
1. Build ARM64 Docker image: `make -C start9/0.4 image-arm`
2. Smoke test locally:
- `docker load -i start9/0.4/image.tar`
- Run container with a volume mount and verify /api/health responds
- Test yt-dlp download of a known video
- Test Gemini API transcription
- Test OAuth flow
- Test subscription check
3. Package with start-sdk: `make -C start9/0.4 package`
4. Sideload on StartOS and test end-to-end:
- Install service
- Set up Gemini API key via config
- Run OAuth authentication
- Process a YouTube video
- Process a podcast episode
- Test subscription auto-discovery
- Test backup/restore
5. Iterate on issues found
### Phase 4: Documentation and Polish (Estimated: 1 day)
1. Write comprehensive instructions.md for StartOS users
2. Update DEPLOY.md with StartOS 0.4.0 specific steps
3. Update START9_PACKAGING_LOG.md with the complete process
4. Verify backup/restore works correctly
5. Test yt-dlp auto-update from within the running service
6. Document the config spec clearly
---
## 9. Persistent Data Contract
Everything under `/data` persists across container restarts and package upgrades:
```
/data/
history/ # All summary JSON files
subscriptions.json # Channel/feed subscriptions
_meta.json # Folder organization
seen-list.json # Dedup tracking
skip-list.json # Deleted item tracking
auto-queue.json # Pending queue items
*.json # Individual summary records
config/
startos-config.json # StartOS-managed configuration
cookies.txt # YouTube cookie file (if uploaded)
.env # Environment overrides (Gemini key, etc.)
bin/
yt-dlp # Updated yt-dlp binary (runtime-managed)
ytdlp-cache/ # yt-dlp cache (OAuth tokens, etc.)
```
**Migration contract:** Any future package version must preserve this layout. If the schema of JSON files changes, handle migration in the entrypoint script or a dedicated migration step.
---
## 10. Ongoing Maintenance Plan
### Regular Maintenance (Monthly)
- **Rebuild and push package** -- even if the app code hasn't changed, rebuilding picks up the latest Alpine packages, Node.js patches, and yt-dlp version at build time
- **Check yt-dlp compatibility** -- verify that the runtime auto-update is working by checking the version via the health endpoint
### When YouTube Breaks Things
YouTube periodically makes changes that break yt-dlp. When this happens:
1. Users can trigger "Update yt-dlp" from StartOS Actions menu
2. If the action doesn't fix it, rebuild and push a new package with the latest yt-dlp
3. If yt-dlp itself hasn't released a fix yet, the nightly build channel may have it -- consider switching the auto-update to use `yt-dlp --update-to nightly` temporarily
### When StartOS Updates
- Test the package on new StartOS versions before they're widely deployed
- The 0.4.0 beta may have breaking changes as it stabilizes; pin to specific beta versions during testing
- Keep the wrapper repo and packaging log updated
### Gemini API Changes
- The app already handles model fallbacks (tries multiple models)
- Google periodically deprecates Gemini model versions; update the model list in server/index.js when this happens
- API key management is handled via StartOS config, so no package rebuild needed for key rotation
---
## 11. Risk Assessment
| Risk | Likelihood | Impact | Mitigation |
|---|---|---|---|
| YouTube breaks yt-dlp | High (happens regularly) | Downloads fail until yt-dlp updates | Runtime auto-update + manual action button |
| OAuth tokens expire | Medium | Need to re-authenticate | Clear UI instructions; cookies.txt as backup |
| Gemini API changes/deprecates models | Low-Medium | Transcription fails | Model fallback chain already implemented |
| StartOS 0.4.0 beta has breaking changes | Medium | Package may need rework | Stay on documented APIs; test frequently |
| Docker image too large | Low | Slow install/update | Multi-stage build; Alpine base; minimize layers |
| Container can't reach YouTube (network) | Low (home network) | Downloads fail | StartOS allows outbound; verify in LXC |
| Temp audio files fill disk | Low | Processing fails | Cleanup in /tmp; use TMPDIR on volume if needed |
| cookies.txt expires quickly | High (3-5 days) | Auth fails | OAuth2 as primary; clear messaging about cookie limits |
---
## 12. Multi-User Distribution: API Keys and Clean Installs
### Gemini API Key Management
The Gemini API key must never be baked into the Docker image or package. Each user provides their own key after installation.
**How it works:**
1. The `.env` file (which contains your personal API key) is excluded from the Docker image via `.dockerignore`
2. On fresh install, the service starts with no API key configured
3. The user enters their key via the StartOS config UI, which writes it to `/data/config/startos-config.json` on the persistent volume
4. The entrypoint script reads this file and sets `GEMINI_API_KEY` as an environment variable before starting the server
5. The web UI settings panel also lets users enter/change the key at any time (this writes to the server's in-memory state and persists to the config file)
The app already supports this pattern: it reads `GEMINI_API_KEY` from the environment first, then falls back to the `.env` file. On StartOS the environment variable takes precedence, and the `.env` file simply doesn't exist in a fresh install.
### Clean Installs: No Inherited Data
The Docker image contains only application code -- no user data. Everything personal lives on the `/data` volume, which starts empty for every new install. This means:
- No inherited history (processed videos/podcasts)
- No inherited subscriptions
- No inherited cookies or authentication tokens
- No inherited API keys
- No inherited folder organization or skip/seen lists
**The `.dockerignore` ensures nothing personal leaks into the image:**
```
history/
cookies.txt
.env
*.s9pk
image.tar
node_modules/
.DS_Store
GET-STARTED.*
build-guide-pdf.py
create-app.sh
setup.sh
Start Summarizer.command
start9/
```
**First-run flow for a new user:**
1. Install the package from StartOS
2. Open service config, enter Gemini API key
3. Open the web UI
4. Set up YouTube OAuth authentication (one-time device code flow)
5. Add subscriptions to channels/feeds they want to follow
6. Start summarizing -- their library builds from scratch
---
## Appendix A: File-by-File Packaging Checklist
When creating the StartOS package, create/modify these files:
**New files to create (in start9/0.4/):**
- [ ] `manifest.yaml` -- set id, title, version, interfaces, config spec, actions, backup
- [ ] `Dockerfile` -- multi-stage build, Alpine, Node 20, Python, yt-dlp, ffmpeg
- [ ] `docker_entrypoint.sh` -- data dir setup, yt-dlp path, env loading, server start
- [ ] `healthcheck.sh` -- curl to /api/health
- [ ] `Makefile` -- image-arm, package, verify, clean targets
- [ ] `instructions.md` -- setup guide, OAuth instructions, cookie upload, troubleshooting
- [ ] `DEPLOY.md` -- build + sideload steps for StartOS 0.4.0
- [ ] `LICENSE` -- appropriate license file
- [ ] `icon.png` -- app icon (already exists in assets/)
**App code modifications (in server/index.js):**
- [ ] Add DATA_DIR environment variable support for all file paths
- [ ] Remove auto-sleep/heartbeat shutdown logic
- [ ] Remove macOS-specific code (osascript, LAN mode, brew update strategy)
- [ ] Add OAuth2 device flow endpoints
- [ ] Add download rate limiting for auto-queue
- [ ] Add --impersonate chrome flag to yt-dlp calls
- [ ] Move cookies.txt path to DATA_DIR
- [ ] Update yt-dlp update strategies for Linux container
- [ ] Add proxy support (optional config)
- [ ] Bind to 0.0.0.0 (currently does this via HOSTNAME env)
**Documentation updates:**
- [ ] START9_PACKAGING_LOG.md -- full process documentation (like workout-log)
- [ ] VERSIONING.md -- update with youtube-summarizer version policy
- [ ] 0.4/README.md -- migration notes and packaging intent
---
## Appendix B: Reusable Packaging Roadmap for Future Apps
This section generalizes the process so it can be reused for packaging any app for StartOS.
### Step 1: Assess the App
Before packaging, answer these questions:
1. What language/runtime does the app use? (Determines base Docker image)
2. Does it need external binaries? (yt-dlp, ffmpeg, etc. -- add to Dockerfile)
3. Does it need outbound network access? (API calls, downloads -- verify in StartOS)
4. What is the persistent data? (Database, files, config -- maps to /data volume)
5. Does it have a health endpoint? (Required for StartOS health checks)
6. Does it need configuration? (Maps to StartOS config spec)
7. Does it have any platform-specific code? (macOS, Windows -- must be removed/adapted)
### Step 2: Create the Wrapper
1. Copy the template from an existing wrapper (this project or workout-log)
2. Edit manifest.yaml first -- it defines everything
3. Write the Dockerfile -- multi-stage build, Alpine, minimal layers
4. Write docker_entrypoint.sh -- data init, env setup, exec app
5. Write healthcheck.sh -- simple curl to health endpoint
6. Write instructions.md -- user-facing setup guide
### Step 3: Build and Test Locally
```bash
# Build ARM64 image
make -C start9/0.4 image-arm
# Load and test
docker load -i start9/0.4/image.tar
docker run -it --rm -v ./test-data:/data -p 3001:3001 <image-name>
# Verify health
curl http://localhost:3001/api/health
```
### Step 4: Package and Sideload
```bash
# Must be in a git repo
git init && git add . && git commit -m "Initial packaging"
# Build s9pk
make -C start9/0.4 package
# Verify
make -C start9/0.4 verify
# Sideload via StartOS web UI
```
### Step 5: Document Everything
- Update START9_PACKAGING_LOG.md with the full process
- Record all issues encountered and how they were resolved
- Note any StartOS version-specific quirks
- Keep the manifest and Dockerfile well-commented
### Template Variables for New Projects
| Variable | Description | Example |
|---|---|---|
| `<PKG_ID>` | StartOS package identifier | `youtube-summarizer` |
| `<APP_PORT>` | Internal container port | `3001` |
| `<DATA_PATH>` | Persistent volume mount | `/data` |
| `<HEALTH_PATH>` | Health endpoint path | `/api/health` |
| `<PROJECT_ROOT>` | Absolute path to repo | `/Users/macpro/Projects/youtube-summarizer` |
---
*This document should be updated as the implementation progresses. Each phase completed should be annotated with actual outcomes, issues discovered, and any deviations from the plan.*
Start Summarizer.command
-91
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@@ -1,91 +0,0 @@
#!/bin/bash
# ─────────────────────────────────────────────────────────────
# YouTube Summarizer — Double-click this file to launch!
# ─────────────────────────────────────────────────────────────
# Move to the folder where this script lives (the project folder)
cd "$(dirname "$0")"
clear
echo "============================================"
echo " YouTube Summarizer — Starting up..."
echo "============================================"
echo ""
# ── Check for Node.js ────────────────────────────────────────
if ! command -v node &> /dev/null; then
echo "ERROR: Node.js is not installed."
echo ""
echo "To install it, open Terminal and run:"
echo " brew install node"
echo ""
echo "(If you don't have Homebrew, install it first:"
echo " /bin/bash -c \"\$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)\""
echo ")"
echo ""
echo "Press any key to close..."
read -n 1
exit 1
fi
# ── Check for yt-dlp ─────────────────────────────────────────
if ! command -v yt-dlp &> /dev/null; then
echo "yt-dlp not found. Installing via Homebrew..."
if command -v brew &> /dev/null; then
brew install yt-dlp
else
echo "ERROR: yt-dlp is not installed and Homebrew is not available."
echo "Install yt-dlp manually: https://github.com/yt-dlp/yt-dlp"
echo ""
echo "Press any key to close..."
read -n 1
exit 1
fi
fi
# ── Install npm dependencies if needed ───────────────────────
if [ ! -d "server/node_modules" ]; then
echo "First run — installing dependencies..."
cd server
npm install
cd ..
echo ""
fi
# ── Start the server ─────────────────────────────────────────
echo "Starting server..."
echo ""
# Start server in the background
cd server
node index.js &
SERVER_PID=$!
cd ..
# Wait for server to be ready
echo "Waiting for server to start..."
for i in {1..20}; do
if curl -s http://localhost:3001/api/health > /dev/null 2>&1; then
break
fi
sleep 0.5
done
# ── Open browser ─────────────────────────────────────────────
echo ""
echo "Opening browser..."
open http://localhost:3001
echo ""
echo "============================================"
echo " App is running at http://localhost:3001"
echo "============================================"
echo ""
echo "Leave this window open while using the app."
echo "To stop the server, close this window or press Ctrl+C."
echo ""
# Keep the script running so the server stays alive
# When user closes the terminal window or presses Ctrl+C, clean up
trap "echo ''; echo 'Shutting down server...'; kill $SERVER_PID 2>/dev/null; exit 0" INT TERM
wait $SERVER_PID
UPGRADE-DESIGN.md
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@@ -1,467 +0,0 @@
# YouTube Summarizer — Upgrade design notes
Design sketches for three follow-up features:
1. **Bundled-LLM relay** — let buyers use the operator's API credentials without exposing them
2. **Multi-provider LLM support** — OpenAI, Anthropic Claude, VeniceAI, etc. as Pro alternatives to Gemini
3. **OpenWebUI integration** — connect to a buyer's local LLM running on the same Start9 box
These are not mutually exclusive; the relay design is the architectural foundation that the other two slot into.
---
## 1. Bundled-LLM relay
### The user's first idea — "use my running youtube-summarizer instance"
> *"If I already have my own youtube-summarizer instance running on clearnet, maybe other users can somehow hit that instance and my instance will send them the json files?"*
This is coherent and would work, but the tradeoffs aren't great:
- **Privacy.** The relay sees every YouTube URL every customer processes — channel, video, timing. This makes you a de facto traffic-analysis honeypot whether you want one or not. Customers who care about Start9-style sovereignty will balk.
- **Bandwidth.** youtube-summarizer downloads the audio with `yt-dlp`, splits it with `ffmpeg`, then sends *audio* to Gemini for transcription. If your instance does that work, every customer's video transits your bandwidth twice (down from YouTube, up to Google). A typical hour-long podcast is 30–80 MB. 100 active customers running 5 videos/day each = 15–40 GB/day.
- **Self-host violation.** Customers chose Start9 *specifically* to keep media-access local. Routing it through your box silently undoes that choice.
- **Operational scope creep.** Your instance now needs hardened uptime, capacity planning, abuse handling, ban-evasion when YouTube rate-limits you, etc. — turning a side product into infrastructure.
So while it'd technically work, I'd retire that variant in favor of a narrower relay design that keeps user-data and self-host benefits intact.
### The architecture: a thin LLM proxy
Keep `yt-dlp`, `ffmpeg`, and the orchestration on the customer's box. Move *only* the LLM API call through your relay. Your Gemini key never leaves your server.
```
[customer's Start9 box] [your relay] [Google]
youtube-summarizer ──signed─────► relay.keysat.xyz ──────► generativelanguage.googleapis.com
yt-dlp + ffmpeg verifies LIC1 (your API key)
builds Gemini prompt enforces tier limits
POSTs to relay forwards to Gemini
◄─stream─ streams response back ◄────────
receives chunks JSON
saves to history
```
The customer's app does all the heavy lifting (download, audio split, prompt assembly, history). The only thing that crosses the wire to your relay is the actual Gemini API call body — which would have gone to Google directly anyway.
### Relay API contract (v1)
Single endpoint, mirrors Gemini's REST shape so the customer's existing Gemini client code barely changes:
```
POST https://relay.keysat.xyz/v1/proxy/gemini/{model}:generateContent
Headers:
X-Keysat-License: LIC1-... # the customer's license key
X-Keysat-Product: youtube-summarizer
Content-Type: application/json
Body:
{ ...exactly what they would have sent to Google... }
Response:
Either Gemini's response verbatim, or:
402 { error: "license_required", message: "..." }
402 { error: "feature_not_in_tier", feature: "bundled_api", message: "..." }
402 { error: "rate_limit_exceeded", reset_at: "...", message: "..." }
401 { error: "license_invalid", reason: "revoked|expired|product_mismatch" }
```
A streaming variant for `:streamGenerateContent` does the same thing with chunked transfer encoding so first-token latency stays low.
The relay does four things, in order, per request:
1. **Verify the license** offline using the embedded Keysat public key (same `Verifier` the customer's app uses). Reject with 401 if signature fails or product slug doesn't match.
2. **Check entitlements**. The license needs whatever entitlement gates this feature. For example, Pro tier might have `bundled_api`; Core wouldn't.
3. **Enforce rate limits** per license per day, persisted in a small KV (Redis, SQLite, even a flat JSON file for v0). Default: Core = 0, Pro = N requests/day. Configurable at deploy time.
4. **Forward to Gemini** with your real API key. Stream the response back. Log the `license_id`, model, token count, and rough cost for billing visibility — never log the prompt content (privacy).
### Implementation outline
A v1 relay is small — ~200 lines of Node, deployable on Cloudflare Workers, Fly.io, or your own Start9 box.
```typescript
// pseudocode for the core forward handler
import { Verifier, PublicKey } from '@keysat/licensing-client'
import { Hono } from 'hono'
const ISSUER_PEM = process.env.ISSUER_PEM! // your Keysat issuer pubkey
const GEMINI_KEY = process.env.GEMINI_API_KEY!
const verifier = new Verifier(PublicKey.fromPem(ISSUER_PEM))
const app = new Hono()
app.post('/v1/proxy/gemini/:model{.+}', async (c) => {
const license = c.req.header('X-Keysat-License')
if (!license) return c.json({ error: 'license_required' }, 402)
// 1. Verify
let payload
try { payload = verifier.verify(license).payload }
catch (e) { return c.json({ error: 'license_invalid', reason: e.message }, 401) }
if (payload.productSlug !== 'youtube-summarizer') {
return c.json({ error: 'product_mismatch' }, 401)
}
// 2. Entitlement
if (!payload.entitlements.includes('bundled_api')) {
return c.json({ error: 'feature_not_in_tier', feature: 'bundled_api' }, 402)
}
// 3. Rate limit (per license per UTC day)
const today = new Date().toISOString().slice(0, 10)
const used = await usageStore.incr(`${payload.licenseId}:${today}`)
const cap = entitlementsToDailyCap(payload.entitlements) // e.g. Pro = 50
if (used > cap) {
return c.json({ error: 'rate_limit_exceeded', reset_at: tomorrowMidnightUtc() }, 402)
}
// 4. Forward
const upstream = `https://generativelanguage.googleapis.com/v1/models/${c.req.param('model')}?key=${GEMINI_KEY}`
const r = await fetch(upstream, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: c.req.raw.body,
})
// log usage (no body content)
await metrics.record({
license_id: payload.licenseId,
model: c.req.param('model'),
tokens_in: r.headers.get('x-goog-prompt-tokens'),
tokens_out: r.headers.get('x-goog-completion-tokens'),
status: r.status,
})
return new Response(r.body, { status: r.status, headers: r.headers })
})
```
### Customer-side change
In the youtube-summarizer's `server/index.js`, the existing `GoogleGenAI` instantiation gets a base URL override when the user has the bundled-API option enabled:
```js
// today
const ai = new GoogleGenAI({ apiKey, httpOptions: { ... } })
// with relay
const useBundled = LIC.entitlements.has('bundled_api') && !clientKey
const ai = new GoogleGenAI({
apiKey: useBundled ? LIC.licenseKey : apiKey, // license key as bearer
baseUrl: useBundled ? RELAY_BASE_URL : undefined,
defaultHeaders: useBundled ? { 'X-Keysat-License': LIC.licenseKey } : undefined,
})
```
The user never sees a Gemini API key field if their license includes `bundled_api`. They install, activate, and it works.
### Operational considerations
- **Cost monitoring.** Wire the metrics output into a billing alert (e.g. Cloudflare Workers Analytics, or a Slack webhook on threshold). A misconfigured policy that gives Core users `bundled_api` could blow through your budget overnight.
- **Provider hot-swap.** Because the relay sits between customer and Gemini, you can swap to a different LLM provider without any client update. Useful for cost optimization or if Google ever revokes your key.
- **Self-hostable relay.** Ship the relay code as its own s9pk so customers who *want* to bring their own API key can run their own relay. Same code, their key. This keeps the "Start9 sovereignty" pitch intact for the subset of users who care.
- **Resilience.** Add an `X-Keysat-Bundled-Off` header (or a license entitlement flag) the customer's app can use to bypass the relay if it's down — falls back to "you need to enter a key in settings."
### Variants worth considering
- **Two-tier rate limits inside Pro.** Pro_lite (10/day), Pro_unlimited (no cap, costs more). Just two policies in Keysat admin with different `bundled_api` rate annotations.
- **Token-budget instead of request-count.** Daily Gemini token cap rather than request cap. More accurate cost control but harder to communicate to buyers.
- **Stripe-style metered billing later.** If usage ever justifies it, the relay's per-license metrics are exactly what you'd hand to a metered-billing system.
### Top-up credits — pay-as-you-go beyond the daily cap
A natural extension of the daily-rate-limit model: when a buyer hits their cap and wants more right now (instead of waiting for the UTC reset), let them buy a credit pack. Each pack adds N requests to their license's available pool, drawn down as they go.
**Why this works for your business model.** It captures the high-engagement long tail: the buyer who occasionally has a "need to summarize 30 podcasts today for research" day. Without credits, they either upgrade to a higher tier they don't actually need (overcharge), or they hit the wall and leave annoyed (lost engagement). Credits convert those moments into incremental Bitcoin revenue with no commitment.
**Why it works architecturally.** Keysat already has BTCPay integration and a buy-flow for products. Credit packs are just another product slug in your Keysat admin (`youtube-summarizer-credits-100`, `-500`, etc.) priced in sats. The buy flow returns a *credit token* — a short signed blob, similar shape to a `LIC1-...` license but smaller — that the customer's app posts to your relay to redeem. The relay verifies the signature, increments that license's credit balance in its KV store, marks the token as used.
**Token format and verification.** Same Ed25519 trust root as licenses, different prefix:
```
CRED1-AIBAH5T...4LXMZW2A
```
Payload includes: `credit_pack_id` (UUID), `license_id` (the license being topped up), `units` (e.g. 100), `issued_at`, `expires_at` (or 0 for never), signature. The relay's redeem endpoint:
```
POST https://relay.keysat.xyz/v1/credits/redeem
Headers: X-Keysat-License: LIC1-...
Body: { "credit_token": "CRED1-..." }
200 → { "ok": true, "credits_added": 100, "balance": 134 }
400 → { "error": "already_redeemed" | "license_mismatch" | "expired" | "bad_signature" }
```
**Relay accounting.** Modify the rate-limit step in §"Implementation outline" to consult both the daily cap and the credit pool:
```
1. Today's daily allotment used N of M (Pro = 50/day, say)
2. If N < M → allow, increment daily counter
3. If N >= M → check credit balance for this license
4. If credits > 0 → allow, decrement credit balance
5. Else → 402 rate_limit_exceeded with "buy more" hint
```
The 402 response includes a buy-credits URL the app can deep-link to, same pattern as the existing `/buy/youtube-summarizer` link:
```json
{
"error": "rate_limit_exceeded",
"reset_at": "2026-05-08T00:00:00Z",
"buy_credits_url": "https://licensing.keysat.xyz/buy/youtube-summarizer-credits-100",
"message": "You've used today's allotment. Buy a credit pack or wait until midnight UTC."
}
```
**Customer-side UX.** In settings, the License block now shows usage:
```
Pro license — Active
Today: 50 / 50 used. Credits: 23 available.
[Buy 100 more credits — 5,000 sats]
```
When they tap "Buy", an `await client.startPurchase('youtube-summarizer-credits-100')`-style flow opens BTCPay, settles, returns a `CRED1-...` token, the app POSTs it to `/v1/credits/redeem`, balance updates. Same friction profile as the original license activation — paste-from-clipboard or open-URL — except now it's mid-flow rather than first-launch.
**Operator pricing knobs.** Each credit pack you list in Keysat admin has its own price + units. Common shapes:
- 100 credits @ 5K sats ($3) — impulse-buy size
- 500 credits @ 20K sats ($12) — moderate top-up
- 2000 credits @ 60K sats ($35) — power user (effective ~30% discount per credit)
Set the underlying cost-per-credit so 1 credit ≈ 1 Gemini call ≈ your cost × margin. The pack-discount structure encourages bigger top-ups, which matches your incentive (you want fewer, larger top-ups to amortize the BTCPay fee per transaction).
**Edge cases worth thinking about.**
- **Refunds.** Credits are non-refundable by default (they're prepaid API time, not durable goods). State this in the buy-page copy.
- **Expiration.** Decide whether credits expire. Pros of expiration: predictable cost liability on your books. Cons: customer-hostile. A 12-month rolling expiration is a fair compromise.
- **Per-product slug or universal.** Credit packs could be product-specific (`youtube-summarizer-credits-100`) or operator-wide (`keysat-credits-100`, redeemable across any of your products). Universal is more flexible but harder to price coherently if the underlying API costs differ across products.
- **Multi-machine.** Credits attach to a license, and licenses can move between machines if the operator allows. Make sure the credit balance follows the license, not the fingerprint. (Mostly a non-issue if your relay state is keyed by `license_id`.)
**Effort estimate.** ~2 days on top of the base relay:
- Credit-token format + Ed25519 signing helper in the licensing service: 0.5 day (mirrors the existing license format).
- BTCPay product slug for credit packs in Keysat admin: 0.25 day (reuse existing buy-flow).
- Relay redeem endpoint + balance accounting: 0.5 day.
- Customer app: balance display + buy-flow integration: 0.5 day.
- Test end-to-end (buy → redeem → relay deduct → exhaust → buy again): 0.25 day.
**Worth shipping with the v1 relay or after?** I'd ship credits a release after the base relay. Validate the daily-cap model is the right primitive first; if buyers regularly hit caps, *that's* the demand signal that justifies adding credits. Shipping both at once risks over-investing in a monetization layer no one needs.
---
## 2. Multi-provider LLM support
### Why this is a real lift
Each provider's API is similar in spirit but different in detail, especially around:
- **Audio handling.** Today's youtube-summarizer ships audio chunks directly to Gemini, which natively transcribes them. Most other providers don't accept audio at all — you have to transcribe first, then send text. So adding non-Gemini providers means adding a *transcription* layer, which is a separate API surface.
- **Structured output.** youtube-summarizer's prompts ask Gemini for JSON-formatted topic chunks. Different providers express "give me JSON" differently (function-calling, response-format JSON mode, schema-guided decoding, or just "trust the prompt"). Inconsistent reliability.
- **Streaming.** Each provider's stream protocol is different (SSE shape, delta encoding). Either standardize on a unified stream type internally, or accept that streaming UX differs per provider.
- **Token limits and context windows.** A 3-hour podcast that fits in Gemini 2.5 Pro's 2M-token window won't fit in Claude Opus's 200K. Forces chunking strategy decisions per provider.
### Provider taxonomy
| Provider | Native audio | Long context | OpenAI-compat API | Notes |
|---|---|---|---|---|
| Google Gemini 2.5 | yes | 2M tokens | no | What you have today. |
| OpenAI GPT-4o | yes (audio modality) | 128K | yes (it's the reference) | Separate `audio.transcriptions` endpoint for Whisper. |
| Anthropic Claude | no | 200K | partial (via wrappers) | Need external transcription. |
| VeniceAI | no (most models) | varies | yes (OpenAI-compatible) | Privacy-focused; uses open models. |
| OpenAI-compatible local (Ollama, OpenWebUI, vLLM) | usually no | varies | yes | See section 3. |
The realistic picture: there are **two** LLM steps in your pipeline (transcription + topic analysis), and providers split into "can do both," "can do only the second," and "can't do either with quality." Multi-provider support means designing both steps as pluggable.
### Provider abstraction
Define a small interface in `server/`:
```typescript
// server/providers/types.ts
export interface TranscriptionProvider {
name: string
transcribe(audioChunk: Buffer, opts: { language?: string }): Promise<TranscriptResult>
}
export interface AnalysisProvider {
name: string
analyze(transcript: string, prompt: PromptSpec): AsyncIterable<AnalysisChunk>
}
export interface ProviderBundle {
transcribe: TranscriptionProvider
analyze: AnalysisProvider
}
```
Then concrete implementations:
```
server/providers/
gemini.ts # both transcribe + analyze, native audio
openai.ts # both transcribe (Whisper) + analyze
claude.ts # analyze only — pairs with whisper or deepgram
venice.ts # analyze only (OpenAI-compatible) — pairs with whisper
openwebui.ts # analyze only, OpenAI-compatible at custom base URL
whisper-cpp.ts # local transcribe via whisper.cpp binary
deepgram.ts # remote transcribe, very cheap
```
Then a small registry that picks the right combo:
```typescript
const BUNDLES: Record<string, ProviderBundle> = {
'gemini': { transcribe: gemini, analyze: gemini },
'openai-gpt4o': { transcribe: openai, analyze: openai },
'claude+whisper': { transcribe: openai, analyze: claude },
'venice+whisper': { transcribe: openai, analyze: venice },
'local': { transcribe: whisper, analyze: openwebui },
}
```
The user picks a bundle in settings; `/api/process` reads it and dispatches accordingly.
### What this looks like for the user
In the settings panel, the existing "Analysis Model" section becomes "Provider":
```
Provider:
◉ Gemini (default, fast, includes audio transcription)
○ OpenAI GPT-4o (Pro feature)
○ Anthropic Claude + Whisper (Pro feature)
○ VeniceAI + Whisper (Pro feature, privacy-focused)
○ Local LLM via OpenWebUI (Pro feature, see "Connect OpenWebUI")
Model: [model dropdown — provider-specific]
API Key: [______________] (per-provider, stored locally)
```
Each provider has its own API key field. Pro tier unlocks non-Gemini providers via a `multi_provider` entitlement.
### Pricing/tier tie-in
This pairs cleanly with the relay design from §1: your bundled relay can support multiple providers behind the same `bundled_api` entitlement. Customer's tier determines which providers are reachable.
```
Core tier: ["core", "history", "library"]
→ Gemini only, BYO key
Pro tier: ["core", "history", "library", "subscriptions", "clips", "multi_provider", "bundled_api"]
→ all providers; bundled relay covers Gemini + OpenAI; BYO available for any
```
### Effort estimate
- **Provider interface + Gemini refactor**: 1 day. Move existing logic into `gemini.ts` matching the new interface.
- **OpenAI provider**: 1 day. The OpenAI Node SDK is straightforward; transcription via `audio.transcriptions.create({ model: 'whisper-1' })`.
- **Claude provider**: 1 day. Pair with OpenAI's Whisper (or Deepgram) for audio. Prompt-engineer JSON output (Claude prefers `<json>...</json>` tags or function calling).
- **VeniceAI**: 0.5 day if it's truly OpenAI-compatible — basically the OpenAI provider with a different base URL.
- **Frontend provider switcher + per-provider key fields**: 1 day.
- **Testing across providers**: 2 days. Different audio quality, different JSON adherence, different latencies.
About a week of focused work for v1. Worth doing only if you have buyers actively asking, since maintenance scales with provider count (each one breaks differently when the vendor changes pricing/APIs).
---
## 3. OpenWebUI / local LLM integration
### Why this is special
OpenWebUI on a Start9 box gives the user a self-hosted local LLM (Llama 3, Mistral, whatever they've pulled). It exposes an OpenAI-compatible API. From youtube-summarizer's perspective, it's "OpenAI provider but pointed at `http://openwebui-internal.local:3000/v1`" instead of `https://api.openai.com/v1`.
The Start9-specific superpower: **service mesh dependencies**. youtube-summarizer's manifest can declare a soft dependency on OpenWebUI, and StartOS will inject a hostname/port the customer's box can reach internally. No customer-typed URL required.
### Architectural shape
```
[customer's Start9 box]
+--------------------------+ +-------------------------+
| youtube-summarizer | | OpenWebUI |
| (this app) |◄────►| (local LLM via Ollama) |
+--------------------------+ +-------------------------+
uses openwebui's hosts the actual model
OpenAI-compatible API (Llama 3 70B, etc.)
```
In `manifest/index.ts`:
```typescript
dependencies: {
'openwebui': {
type: 'opt-in',
description: 'Optional: use a local LLM running on this server.',
versionRange: '>=0.4.0',
requirement: 'optional',
}
}
```
When the dependency is present and started, StartOS gives youtube-summarizer the OpenWebUI hostname (e.g. `http://openwebui.embassy:8080` on the internal mesh). The app's "Local LLM" provider option becomes auto-configured.
### Limitations to call out clearly
- **No native audio.** Most local models won't accept audio; they're text-only. Need a separate transcription path: ship `whisper.cpp` in the youtube-summarizer container (~30 MB) and run it locally. The customer's CPU does the transcription. Slow on Pi-class hardware (a 1-hour podcast might take 10+ minutes); fine on desktop-class.
- **JSON adherence varies.** Local models are less reliable at structured output than Gemini/Claude. Need defensive parsing + retries. Consider using a JSON-schema-guided decoder (xgrammar, llguidance) if available in OpenWebUI's runner.
- **Context windows are smaller.** Llama 3.1 70B = 128K. Long podcasts may need chunked summarization-of-summarizations strategy. Existing chunking logic adapts but needs tuning.
- **Compute cost.** Running 70B inference on a Start9 box with no GPU is ~5–30 sec/token. Fine for a topic-summary of a transcript chunk; rough for a long-form summary. Consider Llama 3.1 8B as default.
### Pricing tie-in
This one's interesting — it's a Pro feature but has *zero* operator cost (the customer's hardware does the work). So it's pure margin once Pro is bought. Could even be marketed as: "Pro gives you Bundled Gemini OR your own local LLM — no API bills either way."
### Effort estimate
- **Manifest dependency declaration**: 1 hour.
- **OpenWebUI provider** (subset of the OpenAI provider work): 1 day. Just a different base URL + auto-config from the StartOS-injected hostname.
- **Local Whisper integration**: 1 day. Ship `whisper.cpp` binary, expose a transcription endpoint, fall back to Gemini-based transcription if the binary errors.
- **Tuning prompts for smaller local models**: 2 days. Llama 3.1 needs different prompting than Gemini. Iterative.
- **Frontend "OpenWebUI detected" affordance**: 0.5 day. When the dependency is present, show a green badge and one-click switch.
About 4–5 days. Cleanest if done after the multi-provider abstraction (§2) lands, since OpenWebUI is just another provider in that taxonomy.
---
## How they all stack
There's a natural ordering of work:
1. **Land the relay first** (§1). It's the foundation — once Gemini-via-relay works, every later provider plugs into the same relay pipeline.
2. **Multi-provider abstraction** (§2). The provider interface is what makes the relay support multiple upstreams without growing fragile if-statements.
3. **OpenWebUI as a provider** (§3). Just another bundle in the registry once §2 is done.
If you ship in that order, the work compounds. If you ship them out of order, each one needs partial rework when the next lands.
A reasonable cadence: relay v1 (~1 week) → multi-provider Pro feature (~1 week) → OpenWebUI integration (~3 days). Roughly 3 weeks of focused work for the full vision, parallelizable in places.
---
## Pricing scenarios for reference
Sketches only — actual numbers depend on volume. Goal is to show how the architecture supports different pricing strategies.
**Scenario A: bundled-only, simple**
- Core (one-time) → BYO Gemini key, all single-video features
- Pro (one-time) → Bundled Gemini (50 videos/day), all features
- Operator margin per Pro license = (Pro price) − (50 × cost-per-video × expected-license-lifetime)
**Scenario A+: bundled with credit top-ups**
- Same as A, plus: when a Pro license hits its daily cap, buyer can purchase credit packs (100/500/2000) via BTCPay to extend within the same license. Captures heavy-use moments without forcing tier upgrades.
- Margin per credit pack = (pack price) − (units × cost-per-call). Set so each pack discount tier still nets ≥40% margin even at full burn-down.
- See section 1 for the architecture; effort is ~2 days on top of base relay.
**Scenario B: bundled subscription**
- Core (one-time) → BYO key, all single-video features
- Pro Lite (subscription) → Bundled Gemini (10/day), all features
- Pro Unlimited (subscription) → Bundled Gemini (no cap), multi-provider, all features
- Per-month subscription billing → recurring cost coverage
**Scenario C: provider-tiered**
- Core (one-time) → BYO Gemini key only
- Pro Standard (one-time) → Bundled Gemini, OpenAI, multi-provider
- Pro Local (one-time) → Multi-provider including OpenWebUI/local LLM, no bundled
- Splits the customer base by what they actually want
The current tier setup (Core/Pro split) is structurally compatible with all three scenarios. You'd just adjust the entitlement-to-feature mapping in Keysat admin policies.
build-guide-pdf.py
-326
View File
@@ -1,326 +0,0 @@
from reportlab.lib.pagesizes import letter
from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle
from reportlab.lib.colors import HexColor
from reportlab.lib.units import inch
from reportlab.lib.enums import TA_LEFT, TA_CENTER
from reportlab.platypus import (
SimpleDocTemplate, Paragraph, Spacer, Table, TableStyle,
PageBreak, KeepTogether, HRFlowable, Preformatted
)
from reportlab.lib import colors
import os
OUTPUT = os.path.join(os.path.dirname(__file__), "GET-STARTED.pdf")
doc = SimpleDocTemplate(
OUTPUT,
pagesize=letter,
topMargin=0.75 * inch,
bottomMargin=0.75 * inch,
leftMargin=0.85 * inch,
rightMargin=0.85 * inch,
)
styles = getSampleStyleSheet()
# Custom styles
styles.add(ParagraphStyle(
"DocTitle", parent=styles["Title"],
fontSize=26, leading=32, textColor=HexColor("#0f172a"),
spaceAfter=4, fontName="Helvetica-Bold",
))
styles.add(ParagraphStyle(
"DocSubtitle", parent=styles["Normal"],
fontSize=13, leading=18, textColor=HexColor("#64748b"),
spaceAfter=24, alignment=TA_CENTER,
))
styles.add(ParagraphStyle(
"H1", parent=styles["Heading1"],
fontSize=20, leading=26, textColor=HexColor("#0f172a"),
spaceBefore=28, spaceAfter=10, fontName="Helvetica-Bold",
))
styles.add(ParagraphStyle(
"H2", parent=styles["Heading2"],
fontSize=15, leading=20, textColor=HexColor("#1e293b"),
spaceBefore=20, spaceAfter=8, fontName="Helvetica-Bold",
))
styles.add(ParagraphStyle(
"Body", parent=styles["Normal"],
fontSize=11, leading=17, textColor=HexColor("#334155"),
spaceAfter=8, fontName="Helvetica",
))
styles.add(ParagraphStyle(
"BodyBold", parent=styles["Normal"],
fontSize=11, leading=17, textColor=HexColor("#1e293b"),
spaceAfter=8, fontName="Helvetica-Bold",
))
styles.add(ParagraphStyle(
"CodeBlock", parent=styles["Code"],
fontSize=10, leading=14, textColor=HexColor("#1e293b"),
backColor=HexColor("#f1f5f9"),
fontName="Courier", leftIndent=16, rightIndent=16,
spaceBefore=4, spaceAfter=8,
borderPadding=(8, 8, 8, 8),
))
styles.add(ParagraphStyle(
"BulletItem", parent=styles["Normal"],
fontSize=11, leading=17, textColor=HexColor("#334155"),
leftIndent=24, bulletIndent=10, spaceAfter=4,
fontName="Helvetica",
))
styles.add(ParagraphStyle(
"StepNum", parent=styles["Normal"],
fontSize=11, leading=17, textColor=HexColor("#334155"),
leftIndent=24, bulletIndent=4, spaceAfter=4,
fontName="Helvetica",
))
styles.add(ParagraphStyle(
"Note", parent=styles["Normal"],
fontSize=10, leading=15, textColor=HexColor("#92400e"),
backColor=HexColor("#fffbeb"),
leftIndent=12, rightIndent=12,
spaceBefore=8, spaceAfter=8,
borderPadding=(8, 8, 8, 8),
fontName="Helvetica",
))
styles.add(ParagraphStyle(
"Link", parent=styles["Normal"],
fontSize=11, leading=17, textColor=HexColor("#2563eb"),
spaceAfter=4, fontName="Helvetica",
))
def code_block(text):
"""Create a code block with background using Preformatted to preserve newlines."""
return Preformatted(text, styles["CodeBlock"])
def hr():
return HRFlowable(width="100%", thickness=1, color=HexColor("#e2e8f0"), spaceBefore=12, spaceAfter=12)
story = []
# -- Title --
story.append(Spacer(1, 40))
story.append(Paragraph("YouTube Transcript Summarizer", styles["DocTitle"]))
story.append(Paragraph("Mac Setup Guide", styles["DocSubtitle"]))
story.append(hr())
# -- What you're setting up --
story.append(Paragraph("What You're Setting Up", styles["H1"]))
story.append(Paragraph(
"This app has two parts that work together:",
styles["Body"]
))
story.append(Paragraph(
"<b>1. A small server</b> that runs locally on your Mac (not on the internet -- only you can access it). "
"It downloads YouTube audio and talks to Google's Gemini AI.",
styles["BulletItem"]
))
story.append(Paragraph(
"<b>2. A webpage</b> that the server hosts in your browser at <font face='Courier'>http://localhost:3001</font>.",
styles["BulletItem"]
))
story.append(Spacer(1, 4))
story.append(Paragraph(
"Nothing is uploaded anywhere. Everything runs on your machine.",
styles["BodyBold"]
))
# -- Where to save --
story.append(Paragraph("Where to Save the Project", styles["H1"]))
story.append(Paragraph(
"The <font face='Courier' color='#1e293b'>youtube-summarizer</font> folder you downloaded can live anywhere, "
"but the standard Mac convention for projects like this is:",
styles["Body"]
))
story.append(code_block("~/Projects/youtube-summarizer"))
story.append(Paragraph(
"The <font face='Courier'>~</font> means your home folder (e.g., <font face='Courier'>/Users/grant</font>). "
"If you don't have a <font face='Courier'>Projects</font> folder yet, you'll create one below.",
styles["Body"]
))
story.append(Paragraph("To move the files there:", styles["BodyBold"]))
story.append(Paragraph("1. Open <b>Finder</b>", styles["StepNum"]))
story.append(Paragraph("2. Go to your home folder (press <b>Cmd + Shift + H</b>)", styles["StepNum"]))
story.append(Paragraph("3. Create a new folder called <b>Projects</b> if you don't have one", styles["StepNum"]))
story.append(Paragraph("4. Drag the <font face='Courier'>youtube-summarizer</font> folder from your Cowork downloads into <b>Projects</b>", styles["StepNum"]))
story.append(Spacer(1, 8))
story.append(Paragraph("You should end up with this structure:", styles["Body"]))
story.append(code_block(
"~/Projects/youtube-summarizer/\n"
"|-- public/\n"
"| +-- index.html\n"
"|-- server/\n"
"| |-- index.js\n"
"| +-- package.json\n"
"|-- setup.sh\n"
"|-- Start Summarizer.command <-- double-click to launch!\n"
"+-- GET-STARTED.pdf <-- this file"
))
# -- Step 1 --
story.append(PageBreak())
story.append(Paragraph("Step 1: Install Node.js and yt-dlp", styles["H1"]))
story.append(Paragraph(
"You need two things installed: Node.js (runs the server) and yt-dlp (downloads YouTube audio). "
"The easiest way to install both is with Homebrew.",
styles["Body"]
))
story.append(Paragraph("If you don't have Homebrew yet:", styles["BodyBold"]))
story.append(Paragraph("1. Open <b>Terminal</b> (press <b>Cmd + Space</b>, type \"Terminal\", hit Enter)", styles["StepNum"]))
story.append(Paragraph("2. Paste this and press Enter:", styles["StepNum"]))
story.append(code_block('/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"'))
story.append(Paragraph("3. Follow the prompts (it may ask for your Mac password)", styles["StepNum"]))
story.append(Spacer(1, 8))
story.append(Paragraph("Then install Node.js and yt-dlp:", styles["BodyBold"]))
story.append(code_block("brew install node yt-dlp"))
story.append(Spacer(1, 4))
story.append(Paragraph("Verify they're installed:", styles["Body"]))
story.append(code_block("node --version\nyt-dlp --version"))
story.append(Paragraph(
"You should see version numbers for both. If so, you're ready for the next step.",
styles["Body"]
))
# -- Step 2 --
story.append(Paragraph("Step 2: Install Server Dependencies", styles["H1"]))
story.append(Paragraph(
"This is a one-time step. In Terminal, run:",
styles["Body"]
))
story.append(code_block("cd ~/Projects/youtube-summarizer/server\nnpm install"))
story.append(Paragraph(
"This downloads the JavaScript libraries the server needs. You'll see some output scroll by -- "
"when it finishes and shows you a new prompt, you're done.",
styles["Body"]
))
# -- Step 3 --
story.append(Paragraph("Step 3: Add Your Gemini API Key", styles["H1"]))
story.append(Paragraph("The app needs a Google Gemini API key to transcribe and analyze videos.", styles["Body"]))
story.append(Spacer(1, 4))
story.append(Paragraph("Get a free key:", styles["BodyBold"]))
story.append(Paragraph("1. Go to <b><font color='#2563eb'>https://aistudio.google.com/apikey</font></b>", styles["StepNum"]))
story.append(Paragraph("2. Sign in with your Google account", styles["StepNum"]))
story.append(Paragraph("3. Click \"Create API Key\"", styles["StepNum"]))
story.append(Paragraph("4. Copy the key -- you'll paste it in the app after launching", styles["StepNum"]))
# -- Step 4 --
story.append(PageBreak())
story.append(Paragraph("Step 4: Launch the App", styles["H1"]))
story.append(Paragraph(
"This is the fun part. You have two ways to launch:",
styles["Body"]
))
story.append(Spacer(1, 4))
story.append(Paragraph("Option A: Double-click (recommended)", styles["H2"]))
story.append(Paragraph(
"Find <font face='Courier'>Start Summarizer.command</font> in your project folder and double-click it.",
styles["Body"]
))
story.append(Paragraph(
"The first time, macOS may say the file can't be opened because it's from an unidentified developer. "
"If this happens: right-click the file, choose <b>Open</b>, then click <b>Open</b> in the dialog. "
"You only need to do this once.",
styles["Note"]
))
story.append(Paragraph(
"A Terminal window will open, the server will start, and your browser will automatically open to the app. "
"That's it!",
styles["Body"]
))
story.append(Spacer(1, 8))
story.append(Paragraph("Option B: Terminal", styles["H2"]))
story.append(Paragraph("If you prefer the command line:", styles["Body"]))
story.append(code_block("cd ~/Projects/youtube-summarizer/server\nnpm start"))
story.append(Paragraph(
"Then open <b><font color='#2563eb'>http://localhost:3001</font></b> in your browser.",
styles["Body"]
))
# -- Step 5 --
story.append(Spacer(1, 8))
story.append(Paragraph("Step 5: Summarize a Video", styles["H1"]))
story.append(Paragraph("1. In the app, click <b>\"Gemini API Settings\"</b> and paste your API key", styles["StepNum"]))
story.append(Paragraph("2. Paste a YouTube URL into the main input", styles["StepNum"]))
story.append(Paragraph("3. Click <b>Summarize</b>", styles["StepNum"]))
story.append(Paragraph("4. Watch the 3-step pipeline: Download audio -> Transcribe -> Analyze topics", styles["StepNum"]))
story.append(Paragraph("5. Click any topic section to expand the full transcript with clickable timestamps", styles["StepNum"]))
story.append(Spacer(1, 4))
story.append(Paragraph(
"Your API key is saved in your browser so you don't have to re-enter it each time.",
styles["Body"]
))
# -- Day-to-day --
story.append(hr())
story.append(Paragraph("Day-to-Day Usage", styles["H1"]))
story.append(Paragraph(
"After the one-time setup above, here's all you need to do each time:",
styles["Body"]
))
story.append(Paragraph(
"1. Double-click <font face='Courier'>Start Summarizer.command</font>",
styles["StepNum"]
))
story.append(Paragraph(
"2. Your browser opens automatically -- paste a YouTube link and go",
styles["StepNum"]
))
story.append(Paragraph(
"3. When done, close the Terminal window that opened (this stops the server)",
styles["StepNum"]
))
story.append(Spacer(1, 4))
story.append(Paragraph("That's it. One double-click.", styles["BodyBold"]))
# -- Troubleshooting --
story.append(PageBreak())
story.append(Paragraph("Troubleshooting", styles["H1"]))
troubles = [
(
"macOS won't open Start Summarizer.command",
"Right-click the file, choose <b>Open</b>, then click <b>Open</b> in the security dialog. "
"This only happens the first time."
),
(
"\"Cannot connect to backend at localhost:3001\"",
"The server isn't running. Double-click <font face='Courier'>Start Summarizer.command</font> again."
),
(
"\"yt-dlp not installed\"",
"Run <font face='Courier'>brew install yt-dlp</font> in Terminal, then relaunch the app."
),
(
"Download fails or hangs",
"yt-dlp might be outdated. Click the \"Update now\" button in the app, or run "
"<font face='Courier'>brew upgrade yt-dlp</font> in Terminal."
),
(
"\"Gemini API error: 403\" or \"401\"",
"Your API key is invalid or expired. Get a new one from "
"<font color='#2563eb'>https://aistudio.google.com/apikey</font>"
),
(
"Long videos take a while",
"Normal. A 1-hour video takes ~30 seconds to download, 30-60 seconds for Gemini "
"to transcribe, then 10-20 seconds for topic analysis. The app shows live progress."
),
]
for problem, solution in troubles:
story.append(Paragraph(f"<b>{problem}</b>", styles["BodyBold"]))
story.append(Paragraph(solution, styles["BulletItem"]))
story.append(Spacer(1, 6))
# Build
doc.build(story)
print(f"PDF created: {OUTPUT}")
cookies.txt
-838
View File
@@ -1,838 +0,0 @@
# Netscape HTTP Cookie File
# This file is generated by yt-dlp. Do not edit.
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secure.insightexpressai.com FALSE /adserver TRUE 1786504594 IgniteCookieSync true
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pool.liftdsp.com FALSE / TRUE 1799622470 c 1768086470
pool.liftdsp.com FALSE / TRUE 1799622470 tuuid_lu 1768086470
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server.smartytech.io FALSE / TRUE 1799622477 uid 3178aeee-de98-4209-9cd5-4a93fc663b44
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.exelator.com TRUE / TRUE 1778454480 EE "cc59f09a65a8447a5cf59d53c2ba71ef"
.exelator.com TRUE / TRUE 1778454480 ud "eJxrXxzq6XKLQSE52dQyzcAy0cw00cLExDzRNDnN1DLF1DjZKCnR3DA1bXFZatGCpaXFqSlJh5ZU5JTkNK0uiw91jHdz9PX0iVzmnFGUn5u6AiwU5hq02NDEeEl%252BUWb6otDgxUUpaQyLSopPBZ%252B9KgoAxksq1g%253D%253D"
.exelator.com TRUE / TRUE 1778454480 hsk_7144 "gAAAAAQAAABqKLUv%252FSBqUQMAiKRidWlkuWYzcmRoYm1xdHptYmdmYzg2NnEwNjg0a2mjaHNrpDY5NDmoZGVsaXZlcnmkNjk0OaN2ZXIBpWJuYW1lqFMyMDRVMjJWpXRzZWdzpzI4NTU5ODKlYmNvZGXNG%252BiidHPKU83VFQ%253D%253D"
.e-planning.net TRUE / TRUE 1802646477 E ALz5R0Mx61BTzRqq
pbs-publift-us.ay.delivery FALSE / TRUE 1775862477 uids 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.adtarget.biz TRUE / TRUE 1802646478 uid 03f75d14-552e-4ca8-8bfd-041dbccd6bbb
.analytics.yahoo.com TRUE / TRUE 1799622478 IDSYNC "173n~2n5s:175s~2n57:175w~2hsn:1769~2el6:176l~2n5c:18vk~2g2j:18xa~2hsn:18y3~2gwf:18yi~2n57:18yl~2q6r:18yo~2g2j:18z8~2q6r:18z9~2hx1:18za~2hsn:190u~2n57:191q~2gwf:1929~2hx1:193k~2gwf:194o~2gwf:195g~2gce:1967~2hsn:1969~2tnb:196y~2hsn:199z~2nh7:19ab~2t7v:19ac~2n58:19aj~2lpr:19b9~2nf8:19bh~2gwf:19bk~2n5f:19bn~2lpr:19bu~2lpr:19bx~2f7r:19cg~2n58:19cu~2lpr:19cw~2lpr:19cx~2hsn:19e0~2lpr:19e3~2g2j:19e7~2lpr:19ea~2lpr:19ai~2n57:19cl~2tnb:19ba~2n58:17mv~2n58:173h~2n58:19h2~2tnb:19gl~2tnb:19h3~2tnb:19h0~2tnb"
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getalby.com FALSE / FALSE 1778527919 login_method otp
claude.ai FALSE / TRUE 1797201511 anthropic-device-id 534e1c34-4f23-40c6-8112-a7903ca8884e
claude.ai FALSE / FALSE 1805841472 _fbp fb.1.1771281471505.62904287848319980
claude.ai FALSE / FALSE 1786833474 g_state {"i_l":0,"i_ll":1771281474848,"i_b":"m99XCDLAoL8P11crnbjIezvOZZdvtUX0Hgfq8LNtsLM","i_e":{"enable_itp_optimization":14}}
.claude.ai TRUE / FALSE 1802817511 ajs_anonymous_id claudeai.v1.bbd65f09-a89f-4ba0-8d3a-765e242e7b59
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.claude.ai TRUE / FALSE 1802817511 ajs_user_id d578b8e1-704f-49a3-a691-67538a600e48
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immense-voyage.local FALSE / FALSE 1807808010 session jt3ax4vz67rvx4hwcccryo2bna
5.161.191.254 FALSE / FALSE 1807828861 session mrnehylzg5pod7utyx7ykyitgy
secure.chase.com FALSE / FALSE 1804898020 ktlvDW7IG5ClOcxYTbmY a
chromewebstore.google.com FALSE / TRUE 1776279448 OTZ 8523057_76_80_104160_76_446820
ogs.google.com FALSE / TRUE 1776279489 OTZ 8523058_76_80_104160_76_446820
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create-app.sh
-194
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@@ -1,194 +0,0 @@
#!/bin/bash
# ─────────────────────────────────────────────────────────────
# Creates "YouTube Summarizer.app" — a proper macOS app bundle
# that you can put in your Dock, Desktop, or Applications folder.
#
# Usage: Run this once from the project folder:
# chmod +x create-app.sh && ./create-app.sh
# ─────────────────────────────────────────────────────────────
PROJECT_DIR="$(cd "$(dirname "$0")" && pwd)"
APP_NAME="YouTube Summarizer"
APP_PATH="$PROJECT_DIR/$APP_NAME.app"
echo ""
echo "Creating $APP_NAME.app..."
echo ""
# ── Build the .app bundle structure ──────────────────────────
rm -rf "$APP_PATH"
mkdir -p "$APP_PATH/Contents/MacOS"
mkdir -p "$APP_PATH/Contents/Resources"
# ── Create the launcher script ───────────────────────────────
cat > "$APP_PATH/Contents/MacOS/launcher" << 'LAUNCHER'
#!/bin/bash
# Resolve the real project directory (the .app lives inside it)
APP_DIR="$(cd "$(dirname "$0")/../../.." && pwd)"
# If the app has been moved (e.g. to /Applications), check for a saved path
SAVED_PATH="$HOME/.config/youtube-summarizer/project-path"
if [ ! -f "$APP_DIR/server/index.js" ]; then
if [ -f "$SAVED_PATH" ]; then
APP_DIR="$(cat "$SAVED_PATH")"
else
# Ask the user to locate the project folder
APP_DIR=$(osascript -e 'POSIX path of (choose folder with prompt "Locate your YouTube Summarizer project folder:")')
APP_DIR="${APP_DIR%/}"
if [ -z "$APP_DIR" ] || [ ! -f "$APP_DIR/server/index.js" ]; then
osascript -e 'display alert "YouTube Summarizer" message "Could not find the project folder. Make sure server/index.js exists." as critical'
exit 1
fi
mkdir -p "$(dirname "$SAVED_PATH")"
echo "$APP_DIR" > "$SAVED_PATH"
fi
fi
cd "$APP_DIR"
# Add common Homebrew paths (node, yt-dlp)
export PATH="/opt/homebrew/bin:/usr/local/bin:$PATH"
# Check for Node.js
if ! command -v node &> /dev/null; then
osascript -e 'display alert "YouTube Summarizer" message "Node.js is not installed. Install it with: brew install node" as critical'
exit 1
fi
# Check for yt-dlp
if ! command -v yt-dlp &> /dev/null; then
if command -v brew &> /dev/null; then
brew install yt-dlp 2>&1
else
osascript -e 'display alert "YouTube Summarizer" message "yt-dlp is not installed. Install it with: brew install yt-dlp" as critical'
exit 1
fi
fi
# Install npm dependencies if needed
if [ ! -d "server/node_modules" ]; then
cd server && npm install && cd ..
fi
# Ask user: Home or Traveling?
ICON_PATH="$APP_DIR/assets/icon.png"
NETWORK_CHOICE=$(osascript -e "
set iconFile to POSIX file \"$ICON_PATH\"
set theChoice to button returned of (display dialog \"Where are you right now?\" & return & return & \"Home — allows your phone and other devices on your Wi-Fi to use the app.\" & return & return & \"Traveling — locks access to just this laptop for safety on public Wi-Fi.\" buttons {\"Traveling\", \"Home\"} default button \"Traveling\" with title \"YouTube Summarizer\" with icon iconFile)
return theChoice
" 2>/dev/null)
# Default to traveling (safe) if dialog was cancelled
if [ "$NETWORK_CHOICE" = "Home" ]; then
export LAN_MODE=true
else
export LAN_MODE=false
fi
# Kill any existing instance on port 3001
lsof -ti:3001 | xargs kill -9 2>/dev/null
sleep 0.3
# Start the server
cd server
node index.js &
SERVER_PID=$!
cd ..
# Wait for server to be ready (up to 10 seconds)
for i in {1..20}; do
if curl -s http://localhost:3001/api/health > /dev/null 2>&1; then
break
fi
sleep 0.5
done
# Open browser
open http://localhost:3001
# Keep alive — when the app is quit, stop the server
trap "kill $SERVER_PID 2>/dev/null; exit 0" INT TERM
wait $SERVER_PID
LAUNCHER
chmod +x "$APP_PATH/Contents/MacOS/launcher"
# ── Create Info.plist ────────────────────────────────────────
cat > "$APP_PATH/Contents/Info.plist" << PLIST
<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
<plist version="1.0">
<dict>
<key>CFBundleExecutable</key>
<string>launcher</string>
<key>CFBundleName</key>
<string>YouTube Summarizer</string>
<key>CFBundleIdentifier</key>
<string>com.local.youtube-summarizer</string>
<key>CFBundleVersion</key>
<string>1.0</string>
<key>CFBundlePackageType</key>
<string>APPL</string>
<key>CFBundleIconFile</key>
<string>AppIcon</string>
<key>LSUIElement</key>
<true/>
</dict>
</plist>
PLIST
# ── Create the app icon from the pre-made PNG ───────────────
ICON_PNG="$PROJECT_DIR/assets/icon.png"
ICON_DIR="$APP_PATH/Contents/Resources"
if [ -f "$ICON_PNG" ]; then
echo "Building app icon..."
# Create iconset with all required sizes using sips (built into macOS)
ICONSET="$ICON_DIR/AppIcon.iconset"
mkdir -p "$ICONSET"
for size in 16 32 64 128 256 512; do
sips -z $size $size "$ICON_PNG" --out "$ICONSET/icon_${size}x${size}.png" > /dev/null 2>&1
done
# @2x variants
for size in 16 32 128 256 512; do
double=$((size * 2))
sips -z $double $double "$ICON_PNG" --out "$ICONSET/icon_${size}x${size}@2x.png" > /dev/null 2>&1
done
# Convert iconset → .icns using iconutil (built into macOS)
iconutil -c icns "$ICONSET" -o "$ICON_DIR/AppIcon.icns" 2>/dev/null
# Clean up the iconset folder
rm -rf "$ICONSET"
if [ -f "$ICON_DIR/AppIcon.icns" ]; then
echo " Icon created successfully."
else
echo " Warning: Could not create .icns icon. The app will use a generic icon."
fi
else
echo " Warning: assets/icon.png not found. The app will use a generic icon."
fi
# ── Remove quarantine so macOS doesn't block it ─────────────
xattr -d com.apple.quarantine "$APP_PATH" 2>/dev/null
# ── Done! ────────────────────────────────────────────────────
echo ""
echo "============================================"
echo " Created: $APP_NAME.app"
echo "============================================"
echo ""
echo "You can now:"
echo " 1. Double-click it to launch the app"
echo " 2. Drag it to your Dock for quick access"
echo " 3. Move it to /Applications if you prefer"
echo ""
echo "If you move it outside this folder, it will"
echo "ask you to locate the project folder once."
echo ""
echo "Done!"
echo ""
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node_modules/@iarna/toml/CHANGELOG.md
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# 3.0.0
[TOML v1.0.0-rc.1](https://github.com/toml-lang/toml/blob/master/versions/en/toml-v1.0.0-rc.1.md)
has been released! This update brings support for it! It's not a huge
update, an evening of tests and an evening of parser updates, but the
changes as a consumer of TOML are actually pretty impactful:
* Inline arrays can have mixed types now!!
* Inline tables MAY NOT have trailing commas. (Inline arrays are still allowed to have trailing commas.)
* Control chars are no longer allowed in comments. Only tabs may be used in comments.
* Multiline basic and literal strings can have quotes nestled up next to the closing triplet, that is:
`""""Hello," she said, "this is a thing.""""` is the equivalent of the JSON `"\"Hello,\" she said, \"this is a thing.\""`.
* Subtables may not extend tables created via dotted keys, that is, the following is invalid:```
[a]
x.y = 1
[a.x]
z = 2
```
# 2.2.4
* Bug fix: Plain date literals (not datetime) immediately followed by another statement (no whitespace or blank line) would crash. Fixes [#19](https://github.com/iarna/iarna-toml/issues/19) and [#23](https://github.com/iarna/iarna-toml/issues/23), thank you [@arnau](https://github.com/arnau) and [@jschaf](https://github.com/jschaf) for reporting this!
* Bug fix: Hex literals with lowercase Es would throw errors. (Thank you [@DaeCatt](https://github.com/DaeCatt) for this fix!) Fixed [#20](https://github.com/iarna/iarna-toml/issues/20)
* Some minor doc tweaks
* Added Node 12 and 13 to Travis. (Node 6 is failing there now, mysteriously. It works on my machine™, shipping anyway. 🙃)
# 2.2.3
This release just updates the spec compliance tests and benchmark data to
better represent @ltd/j-toml.
# 2.2.2
## Fixes
* Support parsing and stringifying objects with `__proto__` properties. ([@LongTengDao](https://github.com/LongTengDao))
## Misc
* Updates for spec compliance and benchmarking:
* @sgarciac/bombadil -> 2.1.0
* toml -> 3.0.0
* Added spec compliance and benchmarking for:
* @ltd/j-toml
# 2.2.1
## Fixes
* Fix bug where keys with names matching javascript Object methods would
error. Thanks [@LongTengDao](https://github.com/LongTengDao) for finding this!
* Fix bug where a bundled version would fail if `util.inspect` wasn't
provided. This was supposed to be guarded against, but there was a bug in
the guard. Thanks [@agriffis](https://github.com/agriffis) for finding and fixing this!
## Misc
* Update the version of bombadil for spec compliance and benchmarking purposes to 2.0.0
## Did you know?
Node 6 and 8 are measurably slower than Node 6, 10 and 11, at least when it comes to parsing TOML!
![](https://pbs.twimg.com/media/DtDeVjmU4AE5apz.jpg)
# 2.2.0
## Features
* Typescript: Lots of improvements to our type definitions, many many to
[@jorgegonzalez](https://github.com/jorgegonzalez) and [@momocow](https://github.com/momocow) for working through these.
## Fixes
* Very large integers (>52bit) are stored as BigInts on runtimes that
support them. BigInts are 128bits, but the TOML spec limits its integers
to 64bits. We now limit our integers to 64bits
as well.
* Fix a bug in stringify where control characters were being emitted as unicode chars and not escape sequences.
## Misc
* Moved our spec tests out to an external repo
* Improved the styling of the spec compliance comparison
# 2.1.1
## Fixes
* Oops, type defs didn't end up in the tarball, ty [@jorgegonzalez](https://github.com/jorgegonzalez)‼
# 2.1.0
## Features
* Types for typescript support, thank you [@momocow](https://github.com/momocow)!
## Fixes
* stringify: always strip invalid dates. This fixes a bug where an
invalid date in an inline array would not be removed and would instead
result in an error.
* stringify: if an invalid type is found make sure it's thrown as an
error object. Previously the type name was, unhelpfully, being thrown.
* stringify: Multiline strings ending in a quote would generate invalid TOML.
* parse: Error if a signed integer has a leading zero, eg, `-01` or `+01`.
* parse: Error if \_ appears at the end of the integer part of a float, eg `1_.0`. \_ is only valid between _digits_.
## Fun
* BurntSushi's comprehensive TOML 0.4.0 test suite is now used in addition to our existing test suite.
* You can see exactly how the other JS TOML libraries stack up in testing
against both BurntSushi's tests and my own in the new
[TOML-SPEC-SUPPORT](TOML-SPEC-SUPPORT.md) doc.
# 2.0.0
With 2.0.0, @iarna/toml supports the TOML v0.5.0 specification. TOML 0.5.0
brings some changes:
* Delete characters (U+007F) are not allowed in plain strings. You can include them with
escaped unicode characters, eg `\u007f`.
* Integers are specified as being 64bit unsigned values. These are
supported using `BigInt`s if you are using Node 10 or later.
* Keys may be literal strings, that is, you can use single quoted strings to
quote key names, so the following is now valid:
'a"b"c' = 123
* The floating point values `nan`, `inf` and `-inf` are supported. The stringifier will no
longer strip NaN, Infinity and -Infinity, instead serializing them as these new values..
* Datetimes can separate the date and time with a space instead of a T, so
`2017-12-01T00:00:00Z` can be written as `2017-12-01 00:00:00Z`.
* Datetimes can be floating, that is, they can be represented without a timezone.
These are represented in javascript as Date objects whose `isFloating` property is true and
whose `toISOString` method will return a representation without a timezone.
* Dates without times are now supported. Dates do not have timezones. Dates
are represented in javascript as a Date object whose `isDate` property is true and
whose `toISOString` method returns just the date.
* Times without dates are now supported. Times do not have timezones. Times
are represented in javascript as a Date object whose `isTime` property is true and
whose `toISOString` method returns just the time.
* Keys can now include dots to directly address deeper structures, so `a.b = 23` is
the equivalent of `a = {b = 23}` or ```[a]
b = 23```. These can be used both as keys to regular tables and inline tables.
* Integers can now be specified in binary, octal and hexadecimal by prefixing the
number with `0b`, `0o` and `0x` respectively. It is now illegal to left
pad a decimal value with zeros.
Some parser details were also fixed:
* Negative zero (`-0.0`) and positive zero (`0.0`) are distinct floating point values.
* Negative integer zero (`-0`) is not distinguished from positive zero (`0`).
# 1.7.1
Another 18% speed boost on our overall benchmarks! This time it came from
switching from string comparisons to integer by converting each character to
its respective code point. This also necessitated rewriting the boolean
parser to actually parse character-by-character as it should. End-of-stream
is now marked with a numeric value outside of the Unicode range, rather than
a Symbol, meaning that the parser's char property is now monomorphic.
Bug fix, previously, `'abc''def'''` was accepted (as the value: `abcdef`).
Now it will correctly raise an error.
Spec tests now run against bombadil as well (it fails some, which is unsurprising
given its incomplete state).
# 1.7.0
This release features an overall 15% speed boost on our benchmarks. This
came from a few things:
* Date parsing was rewritten to not use regexps, resulting in a huge speed increase.
* Strings of all kinds and bare keywords now use tight loops to collect characters when this will help.
* Regexps in general were mostly removed. This didn't result in a speed
change, but it did allow refactoring the parser to be a lot easier to
follow.
* The internal state tracking now uses a class and is constructed with a
fixed set of properties, allowing v8's optimizer to be more effective.
In the land of new features:
* Errors in the syntax of your TOML will now have the `fromTOML` property
set to true. This is in addition to the `line`, `col` and `pos`
properties they already have.
The main use of this is to make it possible to distinguish between errors
in the TOML and errors in the parser code itself. This is of particular utility
when testing parse errors.
# 1.6.0
**FIXES**
* TOML.stringify: Allow toJSON properties that aren't functions, to align with JSON.stringify's behavior.
* TOML.stringify: Don't use ever render keys as literal strings.
* TOML.stringify: Don't try to escape control characters in literal strings.
**FEATURES**
* New Export: TOML.stringify.value, for encoding a stand alone inline value as TOML would. This produces
a TOML fragment, not a complete valid document.
# 1.5.6
* String literals are NOT supported as key names.
* Accessing a shallower table after accessing it more deeply is ok and no longer crashes, eg:
```toml
[a.b]
[a]
```
* Unicode characters in the reserved range now crash.
* Empty bare keys, eg `[.abc]` or `[]` now crash.
* Multiline backslash trimming supports CRs.
* Multiline post quote trimming supports CRs.
* Strings may not contain bare control chars (0x00-0x1f), except for \n, \r and \t.
# 1.5.5
* Yet MORE README fixes. 🙃
# 1.5.4
* README fix
# 1.5.3
* Benchmarks!
* More tests!
* More complete LICENSE information (some dev files are from other, MIT
licensed, projects, this is now more explicitly documented.)
# 1.5.2
* parse: Arrays with mixed types now throw errors, per the spec.
* parse: Fix a parser bug that would result in errors when trying to parse arrays of numbers or dates
that were not separated by a space from the closing ].
* parse: Fix a bug in the error pretty printer that resulted in errors on
the first line not getting the pretty print treatment.
* stringify: Fix long standing bug where an array of Numbers, some of which required
decimals, would be emitted in a way that parsers would treat as mixed
Integer and Float values. Now if any Numbers in an array must be
represented with a decimal then all will be emitted such that parsers will
understand them to be Float.
# 1.5.1
* README fix
# 1.5.0
* A brand new TOML parser, from scratch, that performs like `toml-j0.4`
without the crashes and with vastly better error messages.
* 100% test coverage for both the new parser and the existing stringifier. Some subtle bugs squashed!
# v1.4.2
* Revert fallback due to its having issues with the same files. (New plan
will be to write my own.)
# v1.4.1
* Depend on both `toml` and `toml-j0.4` with fallback from the latter to the
former when the latter crashes.
# v1.4.0
* Ducktype dates to make them compatible with `moment` and other `Date` replacements.
# v1.3.1
* Update docs with new toml module.
# v1.3.0
* Switch from `toml` to `toml-j0.4`, which is between 20x and 200x faster.
(The larger the input, the faster it is compared to `toml`).
# v1.2.0
* Return null when passed in null as the top level object.
* Detect and skip invalid dates and numbers
# v1.1.0
* toJSON transformations are now honored (for everything except Date objects, as JSON represents them as strings).
* Undefined/null values no longer result in exceptions, they now just result in the associated key being elided.
# v1.0.1
* Initial release
node_modules/@iarna/toml/LICENSE
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Copyright (c) 2016, Rebecca Turner <me@re-becca.org>
Permission to use, copy, modify, and/or distribute this software for any
purpose with or without fee is hereby granted, provided that the above
copyright notice and this permission notice appear in all copies.
THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES
WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF
MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR
ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES
WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN
ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF
OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.
node_modules/@iarna/toml/README.md
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# @iarna/toml
Better TOML parsing and stringifying all in that familiar JSON interface.
[![Coverage Status](https://coveralls.io/repos/github/iarna/iarna-toml/badge.svg)](https://coveralls.io/github/iarna/iarna-toml)
# ** TOML 1.0.0-rc.1 **
### TOML Spec Support
The most recent version as of 2019-04-21: [1.0.0-rc.1](https://github.com/toml-lang/toml/blob/master/versions/en/toml-v1.0.0-rc.1.md)
### Other Versions
1.0.0-rc.1 parsers can load almost any TOML 0.4 and TOML 0.5 document, but
TOML 1.0.0-rc.1 docs are not always compatible with TOML 0.4 and TOML 0.5
parsers. If you're using this to generate TOML documents and you want an
older parser to be able to read them you may want to use the
[latest TOML 0.5 version of this module](https://www.npmjs.com/package/@iarna/toml/v/toml-0.5).
### Example
```js
const TOML = require('@iarna/toml')
const obj = TOML.parse(`[abc]
foo = 123
bar = [1,2,3]`)
/* obj =
{abc: {foo: 123, bar: [1,2,3]}}
*/
const str = TOML.stringify(obj)
/* str =
[abc]
foo = 123
bar = [ 1, 2, 3 ]
*/
```
Visit the project github [for more examples](https://github.com/iarna/iarna-toml/tree/latest/examples)!
## Why @iarna/toml
* Support for TOML 1.0.0-rc.1!
* Highly correct! Careful adherence to spec.
* See [TOML-SPEC-SUPPORT](https://shared.by.re-becca.org/misc/TOML-SPEC-SUPPORT-v1.html) for a comparison of which TOML features
are supported by the various Node.js TOML parsers.
* Speedy! See benchmarks at end.
* BigInt support on Node 10!
* 100% test coverage.
* Small parser bundle (if you use `@iarna/toml/parse-string`).
* No deps.
* Detailed and easy to read error messages‼
```console
> TOML.parse(src)
Error: Unexpected character, expecting string, number, datetime, boolean, inline array or inline table at row 6, col 5, pos 87:
5: "abc\"" = { abc=123,def="abc" }
6> foo=sdkfj
^
7:
```
## TOML.parse(str) → Object [(example)](https://github.com/iarna/iarna-toml/blob/latest/examples/parse.js)
Also available with: `require('@iarna/toml/parse-string')`
Synchronously parse a TOML string and return an object.
## TOML.stringify(obj) → String [(example)](https://github.com/iarna/iarna-toml/blob/latest/examples/stringify.js)
Also available with: `require('@iarna/toml/stringify)`
Serialize an object as TOML.
## [your-object].toJSON
If an object `TOML.stringify` is serializing has a `toJSON` method then it
will call it to transform the object before serializing it. This matches
the behavior of `JSON.stringify`.
The one exception to this is that `toJSON` is not called for `Date` objects
because `JSON` represents dates as strings and TOML can represent them natively.
[`moment`](https://www.npmjs.com/package/moment) objects are treated the
same as native `Date` objects, in this respect.
## TOML.stringify.value(obj) -> String
Also available with: `require('@iarna/toml/stringify').value`
Serialize a value as TOML would. This is a fragment and not a complete
valid TOML document.
## Promises and Streaming
The parser provides alternative async and streaming interfaces, for times
that you're working with really absurdly big TOML files and don't want to
tie-up the event loop while it parses.
### TOML.parse.async(str[, opts]) → Promise(Object) [(example)](https://github.com/iarna/iarna-toml/blob/latest/examples/parse-async.js)
Also available with: `require('@iarna/toml/parse-async')`
`opts.blocksize` is the amount text to parser per pass through the event loop. Defaults to 40kb.
Asynchronously parse a TOML string and return a promise of the resulting object.
### TOML.parse.stream(readable) → Promise(Object) [(example)](https://github.com/iarna/iarna-toml/blob/latest/examples/parse-stream-readable.js)
Also available with: `require('@iarna/toml/parse-stream')`
Given a readable stream, parse it as it feeds us data. Return a promise of the resulting object.
### readable.pipe(TOML.parse.stream()) → Transform [(example)](https://github.com/iarna/iarna-toml/blob/latest/examples/parse-stream-through.js)
Also available with: `require('@iarna/toml/parse-stream')`
Returns a transform stream in object mode. When it completes, emit the
resulting object. Only one object will ever be emitted.
## Lowlevel Interface [(example)](https://github.com/iarna/iarna-toml/blob/latest/examples/parse-lowlevel.js) [(example w/ parser debugging)](https://github.com/iarna/iarna-toml/blob/latest/examples/parse-lowlevel-debug.js)
You construct a parser object, per TOML file you want to process:
```js
const TOMLParser = require('@iarna/toml/lib/toml-parser.js')
const parser = new TOMLParser()
```
Then you call the `parse` method for each chunk as you read them, or in a
single call:
```js
parser.parse(`hello = 'world'`)
```
And finally, you call the `finish` method to complete parsing and retrieve
the resulting object.
```js
const data = parser.finish()
```
Both the `parse` method and `finish` method will throw if they find a
problem with the string they were given. Error objects thrown from the
parser have `pos`, `line` and `col` attributes. `TOML.parse` adds a visual
summary of where in the source string there were issues using
`parse-pretty-error` and you can too:
```js
const prettyError = require('./parse-pretty-error.js')
const newErr = prettyError(err, sourceString)
```
## What's Different
Version 3 of this module supports TOML 1.0.0-rc.1. Please see the
[CHANGELOG](CHANGELOG.md#3.0.0) for details on exactly whats changed.
## TOML we can't do
* `-nan` is a valid TOML value and is converted into `NaN`. There is no way to
produce `-nan` when stringifying. Stringification will produce positive `nan`.
* Detecting and erroring on invalid utf8 documents: This is because Node's
UTF8 processing converts invalid sequences into the placeholder character
and does not have facilities for reporting these as errors instead. We
_can_ detect the placeholder character, but it's valid to intentionally
include them in documents, so erroring on them is not great.
* On versions of Node < 10, very large Integer values will lose precision.
On Node >=10, bigints are used.
* Floating/local dates and times are still represented by JavaScript Date
objects, which don't actually support these concepts. The objects
returned have been modified so that you can determine what kind of thing
they are (with `isFloating`, `isDate`, `isTime` properties) and that
their ISO representation (via `toISOString`) are representative of their
TOML value. They will correctly round trip if you pass them to
`TOML.stringify`.
* Binary, hexadecimal and octal values are converted to ordinary integers and
will be decimal if you stringify them.
## Changes
I write a by hand, honest-to-god,
[CHANGELOG](https://github.com/iarna/iarna-toml/blob/latest/CHANGELOG.md)
for this project. It's a description of what went into a release that you
the consumer of the module could care about, not a list of git commits, so
please check it out!
## Benchmarks
You can run them yourself with:
```console
$ npm run benchmark
```
The results below are from my desktop using Node 13.13.0. The library
versions tested were `@iarna/toml@3.0.0`, `toml-j0.4@1.1.1`, `toml@3.0.0`,
`@sgarciac/bombadil@2.3.0`, `@ltd/j-toml@0.5.107`, and `fast-toml@0.5.4`.
The speed value is megabytes-per-second that the parser can process of that
document type. Bigger is better. The percentage after average results is
the margin of error.
New here is fast-toml. fast-toml is very fast, for some datatypes, but it
also is missing most error checking demanded by the spec. For 0.4, it is
complete except for detail of multiline strings caught by the compliance
tests. Its support for 0.5 is incomplete. Check out the
[spec compliance](https://shared.by.re-becca.org/misc/TOML-SPEC-SUPPORT.html) doc
for details.
As this table is getting a little wide, with how npm and github display it,
you can also view it seperately in the
[BENCHMARK](https://shared.by.re-becca.org/misc/BENCHMARK.html) document.
| | @iarna/<wbr>toml | toml-j0.4 | toml | @sgarciac/<wbr>bombadil | @ltd/<wbr>j-toml | fast-toml |
| - | :---------: | :-------: | :--: | :----------------: | :---------: | :-------: |
| **Overall** | 28MB/sec<br><small>0.55%</small> | - | - | - | - | - |
| **01-small-doc-mixed-type-inline-array** | 5.3MB/sec<br><small>0.48%</small> | - | - | - | - | 12MB/sec<br><small>0.13%</small> |
| **Spec Example: v0.4.0** | 25MB/sec<br><small>0.40%</small> | 9.9MB/sec<br><small>0.15%</small> | 0.9MB/sec<br><small>0.37%</small> | 1.3MB/sec<br><small>1.02%</small> | 28MB/sec<br><small>0.33%</small> | - |
| **Spec Example: Hard Unicode** | 63MB/sec<br><small>0.47%</small> | 17MB/sec<br><small>0.21%</small> | 2MB/sec<br><small>0.25%</small> | 0.6MB/sec<br><small>0.47%</small> | 65MB/sec<br><small>0.27%</small> | 79MB/sec<br><small>0.09%</small> |
| **Types: Array, Inline** | 7.2MB/sec<br><small>0.53%</small> | 4.1MB/sec<br><small>0.09%</small> | 0.1MB/sec<br><small>0.69%</small> | 1.4MB/sec<br><small>0.86%</small> | 10MB/sec<br><small>0.33%</small> | 9MB/sec<br><small>0.16%</small> |
| **Types: Array** | 6.8MB/sec<br><small>0.09%</small> | 6.8MB/sec<br><small>0.20%</small> | 0.2MB/sec<br><small>0.81%</small> | 1.3MB/sec<br><small>0.82%</small> | 8.9MB/sec<br><small>0.36%</small> | 29MB/sec<br><small>0.16%</small> |
| **Types: Boolean,** | 20MB/sec<br><small>0.22%</small> | 9.3MB/sec<br><small>0.29%</small> | 0.2MB/sec<br><small>0.91%</small> | 1.9MB/sec<br><small>0.85%</small> | 16MB/sec<br><small>0.29%</small> | 8.6MB/sec<br><small>0.22%</small> |
| **Types: Datetime** | 17MB/sec<br><small>0.09%</small> | 11MB/sec<br><small>0.17%</small> | 0.3MB/sec<br><small>0.75%</small> | 1.6MB/sec<br><small>0.42%</small> | 9.8MB/sec<br><small>0.40%</small> | 6.5MB/sec<br><small>0.11%</small> |
| **Types: Float** | 8.5MB/sec<br><small>0.29%</small> | 5.8MB/sec<br><small>0.33%</small> | 0.2MB/sec<br><small>0.91%</small> | 2.2MB/sec<br><small>0.91%</small> | 14MB/sec<br><small>0.25%</small> | 7.9MB/sec<br><small>0.33%</small> |
| **Types: Int** | 5.8MB/sec<br><small>0.13%</small> | 4.5MB/sec<br><small>0.14%</small> | 0.1MB/sec<br><small>0.63%</small> | 1.5MB/sec<br><small>0.73%</small> | 9.8MB/sec<br><small>0.14%</small> | 8.1MB/sec<br><small>0.16%</small> |
| **Types: Literal String, 7 char** | 25MB/sec<br><small>0.15%</small> | 8.3MB/sec<br><small>0.38%</small> | 0.2MB/sec<br><small>0.71%</small> | 2.3MB/sec<br><small>1.04%</small> | 23MB/sec<br><small>0.28%</small> | 14MB/sec<br><small>0.21%</small> |
| **Types: Literal String, 92 char** | 44MB/sec<br><small>0.23%</small> | 12MB/sec<br><small>0.14%</small> | 0.3MB/sec<br><small>0.63%</small> | 13MB/sec<br><small>1.12%</small> | 100MB/sec<br><small>0.14%</small> | 77MB/sec<br><small>0.15%</small> |
| **Types: Literal String, Multiline, 1079 char** | 23MB/sec<br><small>0.35%</small> | 7.2MB/sec<br><small>0.34%</small> | 0.9MB/sec<br><small>0.86%</small> | 47MB/sec<br><small>1.07%</small> | 380MB/sec<br><small>0.13%</small> | 641MB/sec<br><small>0.14%</small> |
| **Types: Basic String, 7 char** | 25MB/sec<br><small>0.09%</small> | 7MB/sec<br><small>0.08%</small> | 0.2MB/sec<br><small>0.82%</small> | 2.3MB/sec<br><small>1.02%</small> | 15MB/sec<br><small>0.12%</small> | 13MB/sec<br><small>0.14%</small> |
| **Types: Basic String, 92 char** | 44MB/sec<br><small>0.15%</small> | 8MB/sec<br><small>0.39%</small> | 0.1MB/sec<br><small>1.52%</small> | 12MB/sec<br><small>1.53%</small> | 70MB/sec<br><small>0.17%</small> | 71MB/sec<br><small>0.16%</small> |
| **Types: Basic String, 1079 char** | 24MB/sec<br><small>0.36%</small> | 5.7MB/sec<br><small>0.12%</small> | 0.1MB/sec<br><small>3.65%</small> | 42MB/sec<br><small>1.67%</small> | 93MB/sec<br><small>0.13%</small> | 617MB/sec<br><small>0.14%</small> |
| **Types: Table, Inline** | 9.4MB/sec<br><small>0.21%</small> | 5.2MB/sec<br><small>0.23%</small> | 0.1MB/sec<br><small>1.18%</small> | 1.4MB/sec<br><small>1.20%</small> | 8.5MB/sec<br><small>0.68%</small> | 8.7MB/sec<br><small>0.30%</small> |
| **Types: Table** | 6.8MB/sec<br><small>0.13%</small> | 5.5MB/sec<br><small>0.22%</small> | 0.1MB/sec<br><small>1.10%</small> | 1.5MB/sec<br><small>1.05%</small> | 7.3MB/sec<br><small>0.54%</small> | 19MB/sec<br><small>0.21%</small> |
| **Scaling: Array, Inline, 1000 elements** | 40MB/sec<br><small>0.27%</small> | 2.4MB/sec<br><small>0.20%</small> | 0.1MB/sec<br><small>1.90%</small> | 1.6MB/sec<br><small>1.14%</small> | 18MB/sec<br><small>0.16%</small> | 32MB/sec<br><small>0.12%</small> |
| **Scaling: Array, Nested, 1000 deep** | 2MB/sec<br><small>0.17%</small> | 1.6MB/sec<br><small>0.09%</small> | 0.3MB/sec<br><small>0.62%</small> | - | 1.8MB/sec<br><small>0.80%</small> | 13MB/sec<br><small>0.19%</small> |
| **Scaling: Literal String, 40kb** | 59MB/sec<br><small>0.26%</small> | 10MB/sec<br><small>0.14%</small> | 3MB/sec<br><small>0.91%</small> | 13MB/sec<br><small>0.40%</small> | 479MB/sec<br><small>0.25%</small> | 19kMB/sec<br><small>0.20%</small> |
| **Scaling: Literal String, Multiline, 40kb** | 61MB/sec<br><small>0.23%</small> | 5.3MB/sec<br><small>0.30%</small> | 0.2MB/sec<br><small>1.78%</small> | 12MB/sec<br><small>0.55%</small> | 276MB/sec<br><small>0.16%</small> | 21kMB/sec<br><small>0.10%</small> |
| **Scaling: Basic String, Multiline, 40kb** | 61MB/sec<br><small>0.21%</small> | 6MB/sec<br><small>0.40%</small> | 2.8MB/sec<br><small>0.75%</small> | 12MB/sec<br><small>0.60%</small> | 1kMB/sec<br><small>0.13%</small> | 27kMB/sec<br><small>0.14%</small> |
| **Scaling: Basic String, 40kb** | 60MB/sec<br><small>0.13%</small> | 6.6MB/sec<br><small>0.13%</small> | 0.2MB/sec<br><small>1.67%</small> | 13MB/sec<br><small>0.30%</small> | 504MB/sec<br><small>0.26%</small> | 19kMB/sec<br><small>0.22%</small> |
| **Scaling: Table, Inline, 1000 elements** | 26MB/sec<br><small>0.17%</small> | 7.3MB/sec<br><small>0.83%</small> | 0.3MB/sec<br><small>0.95%</small> | 2.5MB/sec<br><small>1.24%</small> | 5.4MB/sec<br><small>0.22%</small> | 13MB/sec<br><small>0.22%</small> |
| **Scaling: Table, Inline, Nested, 1000 deep** | 8MB/sec<br><small>0.10%</small> | 5.2MB/sec<br><small>0.25%</small> | 0.1MB/sec<br><small>0.45%</small> | - | 3.1MB/sec<br><small>0.58%</small> | 10MB/sec<br><small>0.19%</small> |
## Tests
The test suite is maintained at 100% coverage: [![Coverage Status](https://coveralls.io/repos/github/iarna/iarna-toml/badge.svg)](https://coveralls.io/github/iarna/iarna-toml)
The spec was carefully hand converted into a series of test framework
independent (and mostly language independent) assertions, as pairs of TOML
and YAML files. You can find those files here:
[spec-test](https://github.com/iarna/toml-spec-test/).
Further tests were written to increase coverage to 100%, these may be more
implementation specific, but they can be found in [coverage](https://github.com/iarna/iarna-toml/blob/latest/test/coverage.js) and
[coverage-error](https://github.com/iarna/iarna-toml/blob/latest/test/coverage-error.js).
I've also written some quality assurance style tests, which don't contribute
to coverage but do cover scenarios that could easily be problematic for some
implementations can be found in:
[test/qa.js](https://github.com/iarna/iarna-toml/blob/latest/test/qa.js) and
[test/qa-error.js](https://github.com/iarna/iarna-toml/blob/latest/test/qa-error.js).
All of the official example files from the TOML spec are run through this
parser and compared to the official YAML files when available. These files are from the TOML spec as of:
[357a4ba6](https://github.com/toml-lang/toml/tree/357a4ba6782e48ff26e646780bab11c90ed0a7bc)
and specifically are:
* [github.com/toml-lang/toml/tree/357a4ba6/examples](https://github.com/toml-lang/toml/tree/357a4ba6782e48ff26e646780bab11c90ed0a7bc/examples)
* [github.com/toml-lang/toml/tree/357a4ba6/tests](https://github.com/toml-lang/toml/tree/357a4ba6782e48ff26e646780bab11c90ed0a7bc/tests)
The stringifier is tested by round-tripping these same files, asserting that
`TOML.parse(sourcefile)` deepEqual
`TOML.parse(TOML.stringify(TOML.parse(sourcefile))`. This is done in
[test/roundtrip-examples.js](https://github.com/iarna/iarna-toml/blob/latest/test/round-tripping.js)
There are also some tests written to complete coverage from stringification in:
[test/stringify.js](https://github.com/iarna/iarna-toml/blob/latest/test/stringify.js)
Tests for the async and streaming interfaces are in [test/async.js](https://github.com/iarna/iarna-toml/blob/latest/test/async.js) and [test/stream.js](https://github.com/iarna/iarna-toml/blob/latest/test/stream.js) respectively.
Tests for the parser's debugging mode live in [test/devel.js](https://github.com/iarna/iarna-toml/blob/latest/test/devel.js).
And finally, many more stringification tests were borrowed from [@othiym23](https://github.com/othiym23)'s
[toml-stream](https://npmjs.com/package/toml-stream) module. They were fetched as of
[b6f1e26b572d49742d49fa6a6d11524d003441fa](https://github.com/othiym23/toml-stream/tree/b6f1e26b572d49742d49fa6a6d11524d003441fa/test) and live in
[test/toml-stream](https://github.com/iarna/iarna-toml/blob/latest/test/toml-stream/).
## Improvements to make
* In stringify:
* Any way to produce comments. As a JSON stand-in I'm not too worried
about this. That said, a document orientated fork is something I'd like
to look at eventually…
* Stringification could use some work on its error reporting. It reports
_what's_ wrong, but not where in your data structure it was.
* Further optimize the parser:
* There are some debugging assertions left in the main parser, these should be moved to a subclass.
* Make the whole debugging parser thing work as a mixin instead of as a superclass.
node_modules/@iarna/toml/index.d.ts
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import { Transform } from "stream";
type JsonValue = boolean | number | string | JsonMap | JsonArray | Date
type JsonArray = JsonValue[]
type AnyJson = boolean | number | string | JsonMap | Date | JsonArray | JsonArray[]
interface JsonMap {
[key: string]: AnyJson;
}
interface ParseOptions {
/**
* The amount text to parser per pass through the event loop. Defaults to 40kb (`40000`).
*/
blocksize: number
}
interface FuncParse {
/**
* Synchronously parse a TOML string and return an object.
*/
(toml: string): JsonMap
/**
* Asynchronously parse a TOML string and return a promise of the resulting object.
*/
async (toml: string, options?: ParseOptions): Promise<JsonMap>
/**
* Given a readable stream, parse it as it feeds us data. Return a promise of the resulting object.
*/
stream (readable: NodeJS.ReadableStream): Promise<JsonMap>
stream (): Transform
}
interface FuncStringify {
/**
* Serialize an object as TOML.
*
* If an object `TOML.stringify` is serializing has a `toJSON` method
* then it will call it to transform the object before serializing it.
* This matches the behavior of JSON.stringify.
*
* The one exception to this is that `toJSON` is not called for `Date` objects
* because JSON represents dates as strings and TOML can represent them natively.
*
* `moment` objects are treated the same as native `Date` objects, in this respect.
*/
(obj: JsonMap): string
/**
* Serialize a value as TOML would. This is a fragment and not a complete valid TOML document.
*/
value (any: AnyJson): string
}
export const parse: FuncParse
export const stringify: FuncStringify
node_modules/@iarna/toml/lib/create-date.js
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'use strict'
const f = require('./format-num.js')
const DateTime = global.Date
class Date extends DateTime {
constructor (value) {
super(value)
this.isDate = true
}
toISOString () {
return `${this.getUTCFullYear()}-${f(2, this.getUTCMonth() + 1)}-${f(2, this.getUTCDate())}`
}
}
module.exports = value => {
const date = new Date(value)
/* istanbul ignore if */
if (isNaN(date)) {
throw new TypeError('Invalid Datetime')
} else {
return date
}
}
node_modules/@iarna/toml/lib/create-datetime-float.js
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'use strict'
const f = require('./format-num.js')
class FloatingDateTime extends Date {
constructor (value) {
super(value + 'Z')
this.isFloating = true
}
toISOString () {
const date = `${this.getUTCFullYear()}-${f(2, this.getUTCMonth() + 1)}-${f(2, this.getUTCDate())}`
const time = `${f(2, this.getUTCHours())}:${f(2, this.getUTCMinutes())}:${f(2, this.getUTCSeconds())}.${f(3, this.getUTCMilliseconds())}`
return `${date}T${time}`
}
}
module.exports = value => {
const date = new FloatingDateTime(value)
/* istanbul ignore if */
if (isNaN(date)) {
throw new TypeError('Invalid Datetime')
} else {
return date
}
}
node_modules/@iarna/toml/lib/create-datetime.js
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'use strict'
module.exports = value => {
const date = new Date(value)
/* istanbul ignore if */
if (isNaN(date)) {
throw new TypeError('Invalid Datetime')
} else {
return date
}
}
node_modules/@iarna/toml/lib/create-time.js
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@@ -1,22 +0,0 @@
'use strict'
const f = require('./format-num.js')
class Time extends Date {
constructor (value) {
super(`0000-01-01T${value}Z`)
this.isTime = true
}
toISOString () {
return `${f(2, this.getUTCHours())}:${f(2, this.getUTCMinutes())}:${f(2, this.getUTCSeconds())}.${f(3, this.getUTCMilliseconds())}`
}
}
module.exports = value => {
const date = new Time(value)
/* istanbul ignore if */
if (isNaN(date)) {
throw new TypeError('Invalid Datetime')
} else {
return date
}
}
node_modules/@iarna/toml/lib/format-num.js
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@@ -1,6 +0,0 @@
'use strict'
module.exports = (d, num) => {
num = String(num)
while (num.length < d) num = '0' + num
return num
}
node_modules/@iarna/toml/lib/parser-debug.js
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@@ -1,60 +0,0 @@
'use strict'
const Parser = require('./parser.js')
const util = require('util')
const dump = _ => util.inspect(_, {colors: true, depth: 10, breakLength: Infinity})
class DebugParser extends Parser {
stateName (state) {
// istanbul ignore next
return (state.parser && state.parser.name) || state.name || ('anonymous')
}
runOne () {
const callStack = this.stack.concat(this.state).map(_ => this.stateName(_)).join(' <- ')
console.log('RUN', callStack, dump({line: this.line, col: this.col, char: this.char, ret: this.state.returned}))
return super.runOne()
}
finish () {
const obj = super.finish()
// istanbul ignore if
if (this.stack.length !== 0) {
throw new Parser.Error('All states did not return by end of stream')
}
return obj
}
callStack () {
const callStack = this.stack.map(_ => this.stateName(_)).join(' ').replace(/\S/g, ' ')
return callStack ? callStack + ' ' : ''
}
next (fn) {
console.log(' ', this.callStack(), 'NEXT', this.stateName(fn))
return super.next(fn)
}
goto (fn) {
console.log(' ', this.callStack(), 'GOTO', this.stateName(fn))
super.next(fn)
return false
}
call (fn, returnWith) {
console.log(' ', this.callStack(), 'CALL', fn.name, returnWith ? '-> ' + returnWith.name : '')
if (returnWith) super.next(returnWith)
this.stack.push(this.state)
this.state = {parser: fn, buf: '', returned: null}
}
callNow (fn, returnWith) {
console.log(' ', this.callStack(), 'CALLNOW', fn.name, returnWith ? '-> ' + returnWith.name : '')
if (returnWith) super.next(returnWith)
this.stack.push(this.state)
this.state = {parser: fn, buf: '', returned: null}
return false
}
return (value) {
console.log(' ', this.callStack(), 'RETURN')
return super.return(value)
}
returnNow (value) {
console.log(' ', this.callStack(), 'RETURNNOW')
super.return(value)
return false
}
}
module.exports = DebugParser
node_modules/@iarna/toml/lib/parser.js
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@@ -1,127 +0,0 @@
'use strict'
const ParserEND = 0x110000
class ParserError extends Error {
/* istanbul ignore next */
constructor (msg, filename, linenumber) {
super('[ParserError] ' + msg, filename, linenumber)
this.name = 'ParserError'
this.code = 'ParserError'
if (Error.captureStackTrace) Error.captureStackTrace(this, ParserError)
}
}
class State {
constructor (parser) {
this.parser = parser
this.buf = ''
this.returned = null
this.result = null
this.resultTable = null
this.resultArr = null
}
}
class Parser {
constructor () {
this.pos = 0
this.col = 0
this.line = 0
this.obj = {}
this.ctx = this.obj
this.stack = []
this._buf = ''
this.char = null
this.ii = 0
this.state = new State(this.parseStart)
}
parse (str) {
/* istanbul ignore next */
if (str.length === 0 || str.length == null) return
this._buf = String(str)
this.ii = -1
this.char = -1
let getNext
while (getNext === false || this.nextChar()) {
getNext = this.runOne()
}
this._buf = null
}
nextChar () {
if (this.char === 0x0A) {
++this.line
this.col = -1
}
++this.ii
this.char = this._buf.codePointAt(this.ii)
++this.pos
++this.col
return this.haveBuffer()
}
haveBuffer () {
return this.ii < this._buf.length
}
runOne () {
return this.state.parser.call(this, this.state.returned)
}
finish () {
this.char = ParserEND
let last
do {
last = this.state.parser
this.runOne()
} while (this.state.parser !== last)
this.ctx = null
this.state = null
this._buf = null
return this.obj
}
next (fn) {
/* istanbul ignore next */
if (typeof fn !== 'function') throw new ParserError('Tried to set state to non-existent state: ' + JSON.stringify(fn))
this.state.parser = fn
}
goto (fn) {
this.next(fn)
return this.runOne()
}
call (fn, returnWith) {
if (returnWith) this.next(returnWith)
this.stack.push(this.state)
this.state = new State(fn)
}
callNow (fn, returnWith) {
this.call(fn, returnWith)
return this.runOne()
}
return (value) {
/* istanbul ignore next */
if (this.stack.length === 0) throw this.error(new ParserError('Stack underflow'))
if (value === undefined) value = this.state.buf
this.state = this.stack.pop()
this.state.returned = value
}
returnNow (value) {
this.return(value)
return this.runOne()
}
consume () {
/* istanbul ignore next */
if (this.char === ParserEND) throw this.error(new ParserError('Unexpected end-of-buffer'))
this.state.buf += this._buf[this.ii]
}
error (err) {
err.line = this.line
err.col = this.col
err.pos = this.pos
return err
}
/* istanbul ignore next */
parseStart () {
throw new ParserError('Must declare a parseStart method')
}
}
Parser.END = ParserEND
Parser.Error = ParserError
module.exports = Parser
node_modules/@iarna/toml/lib/toml-parser.js
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node_modules/@iarna/toml/package.json
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{
"name": "@iarna/toml",
"version": "3.0.0",
"main": "toml.js",
"scripts": {
"test": "tap -J --100 test/*.js test/toml-stream/*.js",
"benchmark": "node benchmark.js && node benchmark-per-file.js && node results2table.js",
"prerelease": "npm t",
"prepack": "rm -f *~",
"postpublish": "git push --follow-tags",
"pretest": "iarna-standard",
"update-coc": "weallbehave -o . && git add CODE_OF_CONDUCT.md && git commit -m 'docs(coc): updated CODE_OF_CONDUCT.md'",
"update-contrib": "weallcontribute -o . && git add CONTRIBUTING.md && git commit -m 'docs(contributing): updated CONTRIBUTING.md'",
"setup-burntsushi-toml-suite": "[ -d test/burntsushi-toml-test ] || (git clone https://github.com/BurntSushi/toml-test test/burntsushi-toml-test; rimraf test/burntsushi-toml-test/.git/hooks/*); cd test/burntsushi-toml-test; git pull",
"setup-iarna-toml-suite": "[ -d test/spec-test ] || (git clone https://github.com/iarna/toml-spec-tests -b 1.0.0-rc.1 test/spec-test; rimraf test/spec-test/.git/hooks/*); cd test/spec-test; git pull",
"prepare": "npm run setup-burntsushi-toml-suite && npm run setup-iarna-toml-suite"
},
"keywords": [
"toml",
"toml-parser",
"toml-stringifier",
"parser",
"stringifer",
"emitter",
"ini",
"tomlify",
"encoder",
"decoder"
],
"author": "Rebecca Turner <me@re-becca.org> (http://re-becca.org/)",
"license": "ISC",
"description": "Better TOML parsing and stringifying all in that familiar JSON interface.",
"dependencies": {},
"devDependencies": {
"@iarna/standard": "^2.0.2",
"@ltd/j-toml": "^0.5.107",
"@perl/qx": "^1.0.2",
"@sgarciac/bombadil": "^2.3.0",
"ansi": "^0.3.1",
"approximate-number": "^2.0.0",
"benchmark": "^2.1.4",
"fast-toml": "^0.5.4",
"funstream": "^3.0.0",
"glob": "^7.1.2",
"js-yaml": "^3.13.1",
"rimraf": "^2.6.2",
"tap": "^12.0.1",
"toml": "^3.0.0",
"toml-j0.4": "^1.1.1",
"weallbehave": "*",
"weallcontribute": "*"
},
"files": [
"toml.js",
"stringify.js",
"parse.js",
"parse-string.js",
"parse-stream.js",
"parse-async.js",
"parse-pretty-error.js",
"lib/parser.js",
"lib/parser-debug.js",
"lib/toml-parser.js",
"lib/create-datetime.js",
"lib/create-date.js",
"lib/create-datetime-float.js",
"lib/create-time.js",
"lib/format-num.js",
"index.d.ts"
],
"directories": {
"test": "test"
},
"repository": {
"type": "git",
"url": "git+https://github.com/iarna/iarna-toml.git"
},
"bugs": {
"url": "https://github.com/iarna/iarna-toml/issues"
},
"homepage": "https://github.com/iarna/iarna-toml#readme"
}
node_modules/@iarna/toml/parse-async.js
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'use strict'
module.exports = parseAsync
const TOMLParser = require('./lib/toml-parser.js')
const prettyError = require('./parse-pretty-error.js')
function parseAsync (str, opts) {
if (!opts) opts = {}
const index = 0
const blocksize = opts.blocksize || 40960
const parser = new TOMLParser()
return new Promise((resolve, reject) => {
setImmediate(parseAsyncNext, index, blocksize, resolve, reject)
})
function parseAsyncNext (index, blocksize, resolve, reject) {
if (index >= str.length) {
try {
return resolve(parser.finish())
} catch (err) {
return reject(prettyError(err, str))
}
}
try {
parser.parse(str.slice(index, index + blocksize))
setImmediate(parseAsyncNext, index + blocksize, blocksize, resolve, reject)
} catch (err) {
reject(prettyError(err, str))
}
}
}
node_modules/@iarna/toml/parse-pretty-error.js
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'use strict'
module.exports = prettyError
function prettyError (err, buf) {
/* istanbul ignore if */
if (err.pos == null || err.line == null) return err
let msg = err.message
msg += ` at row ${err.line + 1}, col ${err.col + 1}, pos ${err.pos}:\n`
/* istanbul ignore else */
if (buf && buf.split) {
const lines = buf.split(/\n/)
const lineNumWidth = String(Math.min(lines.length, err.line + 3)).length
let linePadding = ' '
while (linePadding.length < lineNumWidth) linePadding += ' '
for (let ii = Math.max(0, err.line - 1); ii < Math.min(lines.length, err.line + 2); ++ii) {
let lineNum = String(ii + 1)
if (lineNum.length < lineNumWidth) lineNum = ' ' + lineNum
if (err.line === ii) {
msg += lineNum + '> ' + lines[ii] + '\n'
msg += linePadding + ' '
for (let hh = 0; hh < err.col; ++hh) {
msg += ' '
}
msg += '^\n'
} else {
msg += lineNum + ': ' + lines[ii] + '\n'
}
}
}
err.message = msg + '\n'
return err
}
node_modules/@iarna/toml/parse-stream.js
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'use strict'
module.exports = parseStream
const stream = require('stream')
const TOMLParser = require('./lib/toml-parser.js')
function parseStream (stm) {
if (stm) {
return parseReadable(stm)
} else {
return parseTransform(stm)
}
}
function parseReadable (stm) {
const parser = new TOMLParser()
stm.setEncoding('utf8')
return new Promise((resolve, reject) => {
let readable
let ended = false
let errored = false
function finish () {
ended = true
if (readable) return
try {
resolve(parser.finish())
} catch (err) {
reject(err)
}
}
function error (err) {
errored = true
reject(err)
}
stm.once('end', finish)
stm.once('error', error)
readNext()
function readNext () {
readable = true
let data
while ((data = stm.read()) !== null) {
try {
parser.parse(data)
} catch (err) {
return error(err)
}
}
readable = false
/* istanbul ignore if */
if (ended) return finish()
/* istanbul ignore if */
if (errored) return
stm.once('readable', readNext)
}
})
}
function parseTransform () {
const parser = new TOMLParser()
return new stream.Transform({
objectMode: true,
transform (chunk, encoding, cb) {
try {
parser.parse(chunk.toString(encoding))
} catch (err) {
this.emit('error', err)
}
cb()
},
flush (cb) {
try {
this.push(parser.finish())
} catch (err) {
this.emit('error', err)
}
cb()
}
})
}
node_modules/@iarna/toml/parse-string.js
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'use strict'
module.exports = parseString
const TOMLParser = require('./lib/toml-parser.js')
const prettyError = require('./parse-pretty-error.js')
function parseString (str) {
if (global.Buffer && global.Buffer.isBuffer(str)) {
str = str.toString('utf8')
}
const parser = new TOMLParser()
try {
parser.parse(str)
return parser.finish()
} catch (err) {
throw prettyError(err, str)
}
}
node_modules/@iarna/toml/parse.js
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'use strict'
module.exports = require('./parse-string.js')
module.exports.async = require('./parse-async.js')
module.exports.stream = require('./parse-stream.js')
module.exports.prettyError = require('./parse-pretty-error.js')
node_modules/@iarna/toml/stringify.js
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'use strict'
module.exports = stringify
module.exports.value = stringifyInline
function stringify (obj) {
if (obj === null) throw typeError('null')
if (obj === void (0)) throw typeError('undefined')
if (typeof obj !== 'object') throw typeError(typeof obj)
if (typeof obj.toJSON === 'function') obj = obj.toJSON()
if (obj == null) return null
const type = tomlType(obj)
if (type !== 'table') throw typeError(type)
return stringifyObject('', '', obj)
}
function typeError (type) {
return new Error('Can only stringify objects, not ' + type)
}
function getInlineKeys (obj) {
return Object.keys(obj).filter(key => isInline(obj[key]))
}
function getComplexKeys (obj) {
return Object.keys(obj).filter(key => !isInline(obj[key]))
}
function toJSON (obj) {
let nobj = Array.isArray(obj) ? [] : Object.prototype.hasOwnProperty.call(obj, '__proto__') ? {['__proto__']: undefined} : {}
for (let prop of Object.keys(obj)) {
if (obj[prop] && typeof obj[prop].toJSON === 'function' && !('toISOString' in obj[prop])) {
nobj[prop] = obj[prop].toJSON()
} else {
nobj[prop] = obj[prop]
}
}
return nobj
}
function stringifyObject (prefix, indent, obj) {
obj = toJSON(obj)
let inlineKeys
let complexKeys
inlineKeys = getInlineKeys(obj)
complexKeys = getComplexKeys(obj)
const result = []
const inlineIndent = indent || ''
inlineKeys.forEach(key => {
var type = tomlType(obj[key])
if (type !== 'undefined' && type !== 'null') {
result.push(inlineIndent + stringifyKey(key) + ' = ' + stringifyAnyInline(obj[key], true))
}
})
if (result.length > 0) result.push('')
const complexIndent = prefix && inlineKeys.length > 0 ? indent + ' ' : ''
complexKeys.forEach(key => {
result.push(stringifyComplex(prefix, complexIndent, key, obj[key]))
})
return result.join('\n')
}
function isInline (value) {
switch (tomlType(value)) {
case 'undefined':
case 'null':
case 'integer':
case 'nan':
case 'float':
case 'boolean':
case 'string':
case 'datetime':
return true
case 'array':
return value.length === 0 || tomlType(value[0]) !== 'table'
case 'table':
return Object.keys(value).length === 0
/* istanbul ignore next */
default:
return false
}
}
function tomlType (value) {
if (value === undefined) {
return 'undefined'
} else if (value === null) {
return 'null'
/* eslint-disable valid-typeof */
} else if (typeof value === 'bigint' || (Number.isInteger(value) && !Object.is(value, -0))) {
return 'integer'
} else if (typeof value === 'number') {
return 'float'
} else if (typeof value === 'boolean') {
return 'boolean'
} else if (typeof value === 'string') {
return 'string'
} else if ('toISOString' in value) {
return isNaN(value) ? 'undefined' : 'datetime'
} else if (Array.isArray(value)) {
return 'array'
} else {
return 'table'
}
}
function stringifyKey (key) {
const keyStr = String(key)
if (/^[-A-Za-z0-9_]+$/.test(keyStr)) {
return keyStr
} else {
return stringifyBasicString(keyStr)
}
}
function stringifyBasicString (str) {
return '"' + escapeString(str).replace(/"/g, '\\"') + '"'
}
function stringifyLiteralString (str) {
return "'" + str + "'"
}
function numpad (num, str) {
while (str.length < num) str = '0' + str
return str
}
function escapeString (str) {
return str.replace(/\\/g, '\\\\')
.replace(/[\b]/g, '\\b')
.replace(/\t/g, '\\t')
.replace(/\n/g, '\\n')
.replace(/\f/g, '\\f')
.replace(/\r/g, '\\r')
/* eslint-disable no-control-regex */
.replace(/([\u0000-\u001f\u007f])/, c => '\\u' + numpad(4, c.codePointAt(0).toString(16)))
/* eslint-enable no-control-regex */
}
function stringifyMultilineString (str) {
let escaped = str.split(/\n/).map(str => {
return escapeString(str).replace(/"(?="")/g, '\\"')
}).join('\n')
if (escaped.slice(-1) === '"') escaped += '\\\n'
return '"""\n' + escaped + '"""'
}
function stringifyAnyInline (value, multilineOk) {
let type = tomlType(value)
if (type === 'string') {
if (multilineOk && /\n/.test(value)) {
type = 'string-multiline'
} else if (!/[\b\t\n\f\r']/.test(value) && /"/.test(value)) {
type = 'string-literal'
}
}
return stringifyInline(value, type)
}
function stringifyInline (value, type) {
/* istanbul ignore if */
if (!type) type = tomlType(value)
switch (type) {
case 'string-multiline':
return stringifyMultilineString(value)
case 'string':
return stringifyBasicString(value)
case 'string-literal':
return stringifyLiteralString(value)
case 'integer':
return stringifyInteger(value)
case 'float':
return stringifyFloat(value)
case 'boolean':
return stringifyBoolean(value)
case 'datetime':
return stringifyDatetime(value)
case 'array':
return stringifyInlineArray(value.filter(_ => tomlType(_) !== 'null' && tomlType(_) !== 'undefined' && tomlType(_) !== 'nan'))
case 'table':
return stringifyInlineTable(value)
/* istanbul ignore next */
default:
throw typeError(type)
}
}
function stringifyInteger (value) {
/* eslint-disable security/detect-unsafe-regex */
return String(value).replace(/\B(?=(\d{3})+(?!\d))/g, '_')
}
function stringifyFloat (value) {
if (value === Infinity) {
return 'inf'
} else if (value === -Infinity) {
return '-inf'
} else if (Object.is(value, NaN)) {
return 'nan'
} else if (Object.is(value, -0)) {
return '-0.0'
}
const [int, dec] = String(value).split('.')
return stringifyInteger(int) + '.' + dec
}
function stringifyBoolean (value) {
return String(value)
}
function stringifyDatetime (value) {
return value.toISOString()
}
function stringifyInlineArray (values) {
values = toJSON(values)
let result = '['
const stringified = values.map(_ => stringifyInline(_))
if (stringified.join(', ').length > 60 || /\n/.test(stringified)) {
result += '\n ' + stringified.join(',\n ') + '\n'
} else {
result += ' ' + stringified.join(', ') + (stringified.length > 0 ? ' ' : '')
}
return result + ']'
}
function stringifyInlineTable (value) {
value = toJSON(value)
const result = []
Object.keys(value).forEach(key => {
result.push(stringifyKey(key) + ' = ' + stringifyAnyInline(value[key], false))
})
return '{ ' + result.join(', ') + (result.length > 0 ? ' ' : '') + '}'
}
function stringifyComplex (prefix, indent, key, value) {
const valueType = tomlType(value)
/* istanbul ignore else */
if (valueType === 'array') {
return stringifyArrayOfTables(prefix, indent, key, value)
} else if (valueType === 'table') {
return stringifyComplexTable(prefix, indent, key, value)
} else {
throw typeError(valueType)
}
}
function stringifyArrayOfTables (prefix, indent, key, values) {
values = toJSON(values)
const firstValueType = tomlType(values[0])
/* istanbul ignore if */
if (firstValueType !== 'table') throw typeError(firstValueType)
const fullKey = prefix + stringifyKey(key)
let result = ''
values.forEach(table => {
if (result.length > 0) result += '\n'
result += indent + '[[' + fullKey + ']]\n'
result += stringifyObject(fullKey + '.', indent, table)
})
return result
}
function stringifyComplexTable (prefix, indent, key, value) {
const fullKey = prefix + stringifyKey(key)
let result = ''
if (getInlineKeys(value).length > 0) {
result += indent + '[' + fullKey + ']\n'
}
return result + stringifyObject(fullKey + '.', indent, value)
}
node_modules/@iarna/toml/toml.js
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'use strict'
exports.parse = require('./parse.js')
exports.stringify = require('./stringify.js')
node_modules/@noble/curves/LICENSE
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The MIT License (MIT)
Copyright (c) 2022 Paul Miller (https://paulmillr.com)
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the “Software”), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
THE SOFTWARE.
node_modules/@noble/curves/README.md
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node_modules/@noble/curves/_shortw_utils.d.ts
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/**
* Utilities for short weierstrass curves, combined with noble-hashes.
* @module
*/
/*! noble-curves - MIT License (c) 2022 Paul Miller (paulmillr.com) */
import { type CurveFn, type CurveType } from './abstract/weierstrass.ts';
import type { CHash } from './utils.ts';
/** connects noble-curves to noble-hashes */
export declare function getHash(hash: CHash): {
hash: CHash;
};
/** Same API as @noble/hashes, with ability to create curve with custom hash */
export type CurveDef = Readonly<Omit<CurveType, 'hash'>>;
export type CurveFnWithCreate = CurveFn & {
create: (hash: CHash) => CurveFn;
};
/** @deprecated use new `weierstrass()` and `ecdsa()` methods */
export declare function createCurve(curveDef: CurveDef, defHash: CHash): CurveFnWithCreate;
//# sourceMappingURL=_shortw_utils.d.ts.map
node_modules/@noble/curves/_shortw_utils.d.ts.map
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node_modules/@noble/curves/_shortw_utils.js
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"use strict";
Object.defineProperty(exports, "__esModule", { value: true });
exports.getHash = getHash;
exports.createCurve = createCurve;
/**
* Utilities for short weierstrass curves, combined with noble-hashes.
* @module
*/
/*! noble-curves - MIT License (c) 2022 Paul Miller (paulmillr.com) */
const weierstrass_ts_1 = require("./abstract/weierstrass.js");
/** connects noble-curves to noble-hashes */
function getHash(hash) {
return { hash };
}
/** @deprecated use new `weierstrass()` and `ecdsa()` methods */
function createCurve(curveDef, defHash) {
const create = (hash) => (0, weierstrass_ts_1.weierstrass)({ ...curveDef, hash: hash });
return { ...create(defHash), create };
}
//# sourceMappingURL=_shortw_utils.js.map
node_modules/@noble/curves/_shortw_utils.js.map
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@@ -1 +0,0 @@
{"version":3,"file":"_shortw_utils.js","sourceRoot":"","sources":["src/_shortw_utils.ts"],"names":[],"mappings":";;AASA,0BAEC;AAMD,kCAGC;AApBD;;;GAGG;AACH,sEAAsE;AACtE,8DAAsF;AAGtF,4CAA4C;AAC5C,SAAgB,OAAO,CAAC,IAAW;IACjC,OAAO,EAAE,IAAI,EAAE,CAAC;AAClB,CAAC;AAKD,gEAAgE;AAChE,SAAgB,WAAW,CAAC,QAAkB,EAAE,OAAc;IAC5D,MAAM,MAAM,GAAG,CAAC,IAAW,EAAW,EAAE,CAAC,IAAA,4BAAW,EAAC,EAAE,GAAG,QAAQ,EAAE,IAAI,EAAE,IAAI,EAAE,CAAC,CAAC;IAClF,OAAO,EAAE,GAAG,MAAM,CAAC,OAAO,CAAC,EAAE,MAAM,EAAE,CAAC;AACxC,CAAC"}
node_modules/@noble/curves/abstract/bls.d.ts
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/**
* BLS != BLS.
* The file implements BLS (Boneh-Lynn-Shacham) signatures.
* Used in both BLS (Barreto-Lynn-Scott) and BN (Barreto-Naehrig)
* families of pairing-friendly curves.
* Consists of two curves: G1 and G2:
* - G1 is a subgroup of (x, y) E(Fq) over y² = x³ + 4.
* - G2 is a subgroup of ((x₁, x₂+i), (y₁, y₂+i)) E(Fq²) over y² = x³ + 4(1 + i) where i is √-1
* - Gt, created by bilinear (ate) pairing e(G1, G2), consists of p-th roots of unity in
* Fq^k where k is embedding degree. Only degree 12 is currently supported, 24 is not.
* Pairing is used to aggregate and verify signatures.
* There are two modes of operation:
* - Long signatures: X-byte keys + 2X-byte sigs (G1 keys + G2 sigs).
* - Short signatures: 2X-byte keys + X-byte sigs (G2 keys + G1 sigs).
* @module
**/
/*! noble-curves - MIT License (c) 2022 Paul Miller (paulmillr.com) */
import { type CHash, type Hex, type PrivKey } from '../utils.ts';
import { type H2CHasher, type H2CHashOpts, type H2COpts, type htfBasicOpts, type MapToCurve } from './hash-to-curve.ts';
import { type IField } from './modular.ts';
import type { Fp12, Fp12Bls, Fp2, Fp2Bls, Fp6Bls } from './tower.ts';
import { type CurvePointsRes, type CurvePointsType, type WeierstrassPoint, type WeierstrassPointCons } from './weierstrass.ts';
type Fp = bigint;
export type TwistType = 'multiplicative' | 'divisive';
export type ShortSignatureCoder<Fp> = {
fromBytes(bytes: Uint8Array): WeierstrassPoint<Fp>;
fromHex(hex: Hex): WeierstrassPoint<Fp>;
toBytes(point: WeierstrassPoint<Fp>): Uint8Array;
toHex(point: WeierstrassPoint<Fp>): string;
/** @deprecated use `toBytes` */
toRawBytes(point: WeierstrassPoint<Fp>): Uint8Array;
};
export type SignatureCoder<Fp> = {
fromBytes(bytes: Uint8Array): WeierstrassPoint<Fp>;
fromHex(hex: Hex): WeierstrassPoint<Fp>;
toBytes(point: WeierstrassPoint<Fp>): Uint8Array;
toHex(point: WeierstrassPoint<Fp>): string;
/** @deprecated use `toBytes` */
toRawBytes(point: WeierstrassPoint<Fp>): Uint8Array;
};
export type BlsFields = {
Fp: IField<Fp>;
Fr: IField<bigint>;
Fp2: Fp2Bls;
Fp6: Fp6Bls;
Fp12: Fp12Bls;
};
export type PostPrecomputePointAddFn = (Rx: Fp2, Ry: Fp2, Rz: Fp2, Qx: Fp2, Qy: Fp2) => {
Rx: Fp2;
Ry: Fp2;
Rz: Fp2;
};
export type PostPrecomputeFn = (Rx: Fp2, Ry: Fp2, Rz: Fp2, Qx: Fp2, Qy: Fp2, pointAdd: PostPrecomputePointAddFn) => void;
export type BlsPairing = {
Fp12: Fp12Bls;
calcPairingPrecomputes: (p: WeierstrassPoint<Fp2>) => Precompute;
millerLoopBatch: (pairs: [Precompute, Fp, Fp][]) => Fp12;
pairing: (P: WeierstrassPoint<Fp>, Q: WeierstrassPoint<Fp2>, withFinalExponent?: boolean) => Fp12;
pairingBatch: (pairs: {
g1: WeierstrassPoint<Fp>;
g2: WeierstrassPoint<Fp2>;
}[], withFinalExponent?: boolean) => Fp12;
};
export type BlsPairingParams = {
ateLoopSize: bigint;
xNegative: boolean;
twistType: TwistType;
postPrecompute?: PostPrecomputeFn;
};
export type CurveType = {
G1: CurvePointsType<Fp> & {
ShortSignature: SignatureCoder<Fp>;
mapToCurve: MapToCurve<Fp>;
htfDefaults: H2COpts;
};
G2: CurvePointsType<Fp2> & {
Signature: SignatureCoder<Fp2>;
mapToCurve: MapToCurve<Fp2>;
htfDefaults: H2COpts;
};
fields: BlsFields;
params: {
ateLoopSize: BlsPairingParams['ateLoopSize'];
xNegative: BlsPairingParams['xNegative'];
r: bigint;
twistType: BlsPairingParams['twistType'];
};
htfDefaults: H2COpts;
hash: CHash;
randomBytes?: (bytesLength?: number) => Uint8Array;
postPrecompute?: PostPrecomputeFn;
};
type PrecomputeSingle = [Fp2, Fp2, Fp2][];
type Precompute = PrecomputeSingle[];
/**
* BLS consists of two curves: G1 and G2:
* - G1 is a subgroup of (x, y) E(Fq) over y² = x³ + 4.
* - G2 is a subgroup of ((x₁, x₂+i), (y₁, y₂+i)) E(Fq²) over y² = x³ + 4(1 + i) where i is √-1
*/
export interface BLSCurvePair {
longSignatures: BLSSigs<bigint, Fp2>;
shortSignatures: BLSSigs<Fp2, bigint>;
millerLoopBatch: BlsPairing['millerLoopBatch'];
pairing: BlsPairing['pairing'];
pairingBatch: BlsPairing['pairingBatch'];
G1: {
Point: WeierstrassPointCons<bigint>;
} & H2CHasher<Fp>;
G2: {
Point: WeierstrassPointCons<Fp2>;
} & H2CHasher<Fp2>;
fields: {
Fp: IField<Fp>;
Fp2: Fp2Bls;
Fp6: Fp6Bls;
Fp12: Fp12Bls;
Fr: IField<bigint>;
};
utils: {
randomSecretKey: () => Uint8Array;
/** @deprecated use randomSecretKey */
randomPrivateKey: () => Uint8Array;
calcPairingPrecomputes: BlsPairing['calcPairingPrecomputes'];
};
}
export type CurveFn = BLSCurvePair & {
/** @deprecated use `longSignatures.getPublicKey` */
getPublicKey: (secretKey: PrivKey) => Uint8Array;
/** @deprecated use `shortSignatures.getPublicKey` */
getPublicKeyForShortSignatures: (secretKey: PrivKey) => Uint8Array;
/** @deprecated use `longSignatures.sign` */
sign: {
(message: Hex, secretKey: PrivKey, htfOpts?: htfBasicOpts): Uint8Array;
(message: WeierstrassPoint<Fp2>, secretKey: PrivKey, htfOpts?: htfBasicOpts): WeierstrassPoint<Fp2>;
};
/** @deprecated use `shortSignatures.sign` */
signShortSignature: {
(message: Hex, secretKey: PrivKey, htfOpts?: htfBasicOpts): Uint8Array;
(message: WeierstrassPoint<Fp>, secretKey: PrivKey, htfOpts?: htfBasicOpts): WeierstrassPoint<Fp>;
};
/** @deprecated use `longSignatures.verify` */
verify: (signature: Hex | WeierstrassPoint<Fp2>, message: Hex | WeierstrassPoint<Fp2>, publicKey: Hex | WeierstrassPoint<Fp>, htfOpts?: htfBasicOpts) => boolean;
/** @deprecated use `shortSignatures.verify` */
verifyShortSignature: (signature: Hex | WeierstrassPoint<Fp>, message: Hex | WeierstrassPoint<Fp>, publicKey: Hex | WeierstrassPoint<Fp2>, htfOpts?: htfBasicOpts) => boolean;
verifyBatch: (signature: Hex | WeierstrassPoint<Fp2>, messages: (Hex | WeierstrassPoint<Fp2>)[], publicKeys: (Hex | WeierstrassPoint<Fp>)[], htfOpts?: htfBasicOpts) => boolean;
/** @deprecated use `longSignatures.aggregatePublicKeys` */
aggregatePublicKeys: {
(publicKeys: Hex[]): Uint8Array;
(publicKeys: WeierstrassPoint<Fp>[]): WeierstrassPoint<Fp>;
};
/** @deprecated use `longSignatures.aggregateSignatures` */
aggregateSignatures: {
(signatures: Hex[]): Uint8Array;
(signatures: WeierstrassPoint<Fp2>[]): WeierstrassPoint<Fp2>;
};
/** @deprecated use `shortSignatures.aggregateSignatures` */
aggregateShortSignatures: {
(signatures: Hex[]): Uint8Array;
(signatures: WeierstrassPoint<Fp>[]): WeierstrassPoint<Fp>;
};
G1: CurvePointsRes<Fp> & H2CHasher<Fp>;
G2: CurvePointsRes<Fp2> & H2CHasher<Fp2>;
/** @deprecated use `longSignatures.Signature` */
Signature: SignatureCoder<Fp2>;
/** @deprecated use `shortSignatures.Signature` */
ShortSignature: ShortSignatureCoder<Fp>;
params: {
ateLoopSize: bigint;
r: bigint;
twistType: TwistType;
/** @deprecated */
G1b: bigint;
/** @deprecated */
G2b: Fp2;
};
};
type BLSInput = Hex | Uint8Array;
export interface BLSSigs<P, S> {
getPublicKey(secretKey: PrivKey): WeierstrassPoint<P>;
sign(hashedMessage: WeierstrassPoint<S>, secretKey: PrivKey): WeierstrassPoint<S>;
verify(signature: WeierstrassPoint<S> | BLSInput, message: WeierstrassPoint<S>, publicKey: WeierstrassPoint<P> | BLSInput): boolean;
verifyBatch: (signature: WeierstrassPoint<S> | BLSInput, messages: WeierstrassPoint<S>[], publicKeys: (WeierstrassPoint<P> | BLSInput)[]) => boolean;
aggregatePublicKeys(publicKeys: (WeierstrassPoint<P> | BLSInput)[]): WeierstrassPoint<P>;
aggregateSignatures(signatures: (WeierstrassPoint<S> | BLSInput)[]): WeierstrassPoint<S>;
hash(message: Uint8Array, DST?: string | Uint8Array, hashOpts?: H2CHashOpts): WeierstrassPoint<S>;
Signature: SignatureCoder<S>;
}
export declare function bls(CURVE: CurveType): CurveFn;
export {};
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"use strict";
Object.defineProperty(exports, "__esModule", { value: true });
exports.bls = bls;
/**
* BLS != BLS.
* The file implements BLS (Boneh-Lynn-Shacham) signatures.
* Used in both BLS (Barreto-Lynn-Scott) and BN (Barreto-Naehrig)
* families of pairing-friendly curves.
* Consists of two curves: G1 and G2:
* - G1 is a subgroup of (x, y) E(Fq) over y² = x³ + 4.
* - G2 is a subgroup of ((x₁, x₂+i), (y₁, y₂+i)) E(Fq²) over y² = x³ + 4(1 + i) where i is √-1
* - Gt, created by bilinear (ate) pairing e(G1, G2), consists of p-th roots of unity in
* Fq^k where k is embedding degree. Only degree 12 is currently supported, 24 is not.
* Pairing is used to aggregate and verify signatures.
* There are two modes of operation:
* - Long signatures: X-byte keys + 2X-byte sigs (G1 keys + G2 sigs).
* - Short signatures: 2X-byte keys + X-byte sigs (G2 keys + G1 sigs).
* @module
**/
/*! noble-curves - MIT License (c) 2022 Paul Miller (paulmillr.com) */
const utils_ts_1 = require("../utils.js");
const curve_ts_1 = require("./curve.js");
const hash_to_curve_ts_1 = require("./hash-to-curve.js");
const modular_ts_1 = require("./modular.js");
const weierstrass_ts_1 = require("./weierstrass.js");
// prettier-ignore
const _0n = BigInt(0), _1n = BigInt(1), _2n = BigInt(2), _3n = BigInt(3);
// Not used with BLS12-381 (no sequential `11` in X). Useful for other curves.
function NAfDecomposition(a) {
const res = [];
// a>1 because of marker bit
for (; a > _1n; a >>= _1n) {
if ((a & _1n) === _0n)
res.unshift(0);
else if ((a & _3n) === _3n) {
res.unshift(-1);
a += _1n;
}
else
res.unshift(1);
}
return res;
}
function aNonEmpty(arr) {
if (!Array.isArray(arr) || arr.length === 0)
throw new Error('expected non-empty array');
}
// This should be enough for bn254, no need to export full stuff?
function createBlsPairing(fields, G1, G2, params) {
const { Fp2, Fp12 } = fields;
const { twistType, ateLoopSize, xNegative, postPrecompute } = params;
// Applies sparse multiplication as line function
let lineFunction;
if (twistType === 'multiplicative') {
lineFunction = (c0, c1, c2, f, Px, Py) => Fp12.mul014(f, c0, Fp2.mul(c1, Px), Fp2.mul(c2, Py));
}
else if (twistType === 'divisive') {
// NOTE: it should be [c0, c1, c2], but we use different order here to reduce complexity of
// precompute calculations.
lineFunction = (c0, c1, c2, f, Px, Py) => Fp12.mul034(f, Fp2.mul(c2, Py), Fp2.mul(c1, Px), c0);
}
else
throw new Error('bls: unknown twist type');
const Fp2div2 = Fp2.div(Fp2.ONE, Fp2.mul(Fp2.ONE, _2n));
function pointDouble(ell, Rx, Ry, Rz) {
const t0 = Fp2.sqr(Ry); // Ry²
const t1 = Fp2.sqr(Rz); // Rz²
const t2 = Fp2.mulByB(Fp2.mul(t1, _3n)); // 3 * T1 * B
const t3 = Fp2.mul(t2, _3n); // 3 * T2
const t4 = Fp2.sub(Fp2.sub(Fp2.sqr(Fp2.add(Ry, Rz)), t1), t0); // (Ry + Rz)² - T1 - T0
const c0 = Fp2.sub(t2, t0); // T2 - T0 (i)
const c1 = Fp2.mul(Fp2.sqr(Rx), _3n); // 3 * Rx²
const c2 = Fp2.neg(t4); // -T4 (-h)
ell.push([c0, c1, c2]);
Rx = Fp2.mul(Fp2.mul(Fp2.mul(Fp2.sub(t0, t3), Rx), Ry), Fp2div2); // ((T0 - T3) * Rx * Ry) / 2
Ry = Fp2.sub(Fp2.sqr(Fp2.mul(Fp2.add(t0, t3), Fp2div2)), Fp2.mul(Fp2.sqr(t2), _3n)); // ((T0 + T3) / 2)² - 3 * T2²
Rz = Fp2.mul(t0, t4); // T0 * T4
return { Rx, Ry, Rz };
}
function pointAdd(ell, Rx, Ry, Rz, Qx, Qy) {
// Addition
const t0 = Fp2.sub(Ry, Fp2.mul(Qy, Rz)); // Ry - Qy * Rz
const t1 = Fp2.sub(Rx, Fp2.mul(Qx, Rz)); // Rx - Qx * Rz
const c0 = Fp2.sub(Fp2.mul(t0, Qx), Fp2.mul(t1, Qy)); // T0 * Qx - T1 * Qy == Ry * Qx - Rx * Qy
const c1 = Fp2.neg(t0); // -T0 == Qy * Rz - Ry
const c2 = t1; // == Rx - Qx * Rz
ell.push([c0, c1, c2]);
const t2 = Fp2.sqr(t1); // T1²
const t3 = Fp2.mul(t2, t1); // T2 * T1
const t4 = Fp2.mul(t2, Rx); // T2 * Rx
const t5 = Fp2.add(Fp2.sub(t3, Fp2.mul(t4, _2n)), Fp2.mul(Fp2.sqr(t0), Rz)); // T3 - 2 * T4 + T0² * Rz
Rx = Fp2.mul(t1, t5); // T1 * T5
Ry = Fp2.sub(Fp2.mul(Fp2.sub(t4, t5), t0), Fp2.mul(t3, Ry)); // (T4 - T5) * T0 - T3 * Ry
Rz = Fp2.mul(Rz, t3); // Rz * T3
return { Rx, Ry, Rz };
}
// Pre-compute coefficients for sparse multiplication
// Point addition and point double calculations is reused for coefficients
// pointAdd happens only if bit set, so wNAF is reasonable. Unfortunately we cannot combine
// add + double in windowed precomputes here, otherwise it would be single op (since X is static)
const ATE_NAF = NAfDecomposition(ateLoopSize);
const calcPairingPrecomputes = (0, utils_ts_1.memoized)((point) => {
const p = point;
const { x, y } = p.toAffine();
// prettier-ignore
const Qx = x, Qy = y, negQy = Fp2.neg(y);
// prettier-ignore
let Rx = Qx, Ry = Qy, Rz = Fp2.ONE;
const ell = [];
for (const bit of ATE_NAF) {
const cur = [];
({ Rx, Ry, Rz } = pointDouble(cur, Rx, Ry, Rz));
if (bit)
({ Rx, Ry, Rz } = pointAdd(cur, Rx, Ry, Rz, Qx, bit === -1 ? negQy : Qy));
ell.push(cur);
}
if (postPrecompute) {
const last = ell[ell.length - 1];
postPrecompute(Rx, Ry, Rz, Qx, Qy, pointAdd.bind(null, last));
}
return ell;
});
function millerLoopBatch(pairs, withFinalExponent = false) {
let f12 = Fp12.ONE;
if (pairs.length) {
const ellLen = pairs[0][0].length;
for (let i = 0; i < ellLen; i++) {
f12 = Fp12.sqr(f12); // This allows us to do sqr only one time for all pairings
// NOTE: we apply multiple pairings in parallel here
for (const [ell, Px, Py] of pairs) {
for (const [c0, c1, c2] of ell[i])
f12 = lineFunction(c0, c1, c2, f12, Px, Py);
}
}
}
if (xNegative)
f12 = Fp12.conjugate(f12);
return withFinalExponent ? Fp12.finalExponentiate(f12) : f12;
}
// Calculates product of multiple pairings
// This up to x2 faster than just `map(({g1, g2})=>pairing({g1,g2}))`
function pairingBatch(pairs, withFinalExponent = true) {
const res = [];
// Cache precomputed toAffine for all points
(0, curve_ts_1.normalizeZ)(G1, pairs.map(({ g1 }) => g1));
(0, curve_ts_1.normalizeZ)(G2, pairs.map(({ g2 }) => g2));
for (const { g1, g2 } of pairs) {
if (g1.is0() || g2.is0())
throw new Error('pairing is not available for ZERO point');
// This uses toAffine inside
g1.assertValidity();
g2.assertValidity();
const Qa = g1.toAffine();
res.push([calcPairingPrecomputes(g2), Qa.x, Qa.y]);
}
return millerLoopBatch(res, withFinalExponent);
}
// Calculates bilinear pairing
function pairing(Q, P, withFinalExponent = true) {
return pairingBatch([{ g1: Q, g2: P }], withFinalExponent);
}
return {
Fp12, // NOTE: we re-export Fp12 here because pairing results are Fp12!
millerLoopBatch,
pairing,
pairingBatch,
calcPairingPrecomputes,
};
}
function createBlsSig(blsPairing, PubCurve, SigCurve, SignatureCoder, isSigG1) {
const { Fp12, pairingBatch } = blsPairing;
function normPub(point) {
return point instanceof PubCurve.Point ? point : PubCurve.Point.fromHex(point);
}
function normSig(point) {
return point instanceof SigCurve.Point ? point : SigCurve.Point.fromHex(point);
}
function amsg(m) {
if (!(m instanceof SigCurve.Point))
throw new Error(`expected valid message hashed to ${!isSigG1 ? 'G2' : 'G1'} curve`);
return m;
}
// What matters here is what point pairing API accepts as G1 or G2, not actual size or names
const pair = !isSigG1
? (a, b) => ({ g1: a, g2: b })
: (a, b) => ({ g1: b, g2: a });
return {
// P = pk x G
getPublicKey(secretKey) {
// TODO: replace with
// const sec = PubCurve.Point.Fn.fromBytes(secretKey);
const sec = (0, weierstrass_ts_1._normFnElement)(PubCurve.Point.Fn, secretKey);
return PubCurve.Point.BASE.multiply(sec);
},
// S = pk x H(m)
sign(message, secretKey, unusedArg) {
if (unusedArg != null)
throw new Error('sign() expects 2 arguments');
// TODO: replace with
// PubCurve.Point.Fn.fromBytes(secretKey)
const sec = (0, weierstrass_ts_1._normFnElement)(PubCurve.Point.Fn, secretKey);
amsg(message).assertValidity();
return message.multiply(sec);
},
// Checks if pairing of public key & hash is equal to pairing of generator & signature.
// e(P, H(m)) == e(G, S)
// e(S, G) == e(H(m), P)
verify(signature, message, publicKey, unusedArg) {
if (unusedArg != null)
throw new Error('verify() expects 3 arguments');
signature = normSig(signature);
publicKey = normPub(publicKey);
const P = publicKey.negate();
const G = PubCurve.Point.BASE;
const Hm = amsg(message);
const S = signature;
// This code was changed in 1.9.x:
// Before it was G.negate() in G2, now it's always pubKey.negate
// e(P, -Q)===e(-P, Q)==e(P, Q)^-1. Negate can be done anywhere (as long it is done once per pair).
// We just moving sign, but since pairing is multiplicative, we doing X * X^-1 = 1
const exp = pairingBatch([pair(P, Hm), pair(G, S)]);
return Fp12.eql(exp, Fp12.ONE);
},
// https://ethresear.ch/t/fast-verification-of-multiple-bls-signatures/5407
// e(G, S) = e(G, SUM(n)(Si)) = MUL(n)(e(G, Si))
// TODO: maybe `{message: G2Hex, publicKey: G1Hex}[]` instead?
verifyBatch(signature, messages, publicKeys) {
aNonEmpty(messages);
if (publicKeys.length !== messages.length)
throw new Error('amount of public keys and messages should be equal');
const sig = normSig(signature);
const nMessages = messages;
const nPublicKeys = publicKeys.map(normPub);
// NOTE: this works only for exact same object
const messagePubKeyMap = new Map();
for (let i = 0; i < nPublicKeys.length; i++) {
const pub = nPublicKeys[i];
const msg = nMessages[i];
let keys = messagePubKeyMap.get(msg);
if (keys === undefined) {
keys = [];
messagePubKeyMap.set(msg, keys);
}
keys.push(pub);
}
const paired = [];
const G = PubCurve.Point.BASE;
try {
for (const [msg, keys] of messagePubKeyMap) {
const groupPublicKey = keys.reduce((acc, msg) => acc.add(msg));
paired.push(pair(groupPublicKey, msg));
}
paired.push(pair(G.negate(), sig));
return Fp12.eql(pairingBatch(paired), Fp12.ONE);
}
catch {
return false;
}
},
// Adds a bunch of public key points together.
// pk1 + pk2 + pk3 = pkA
aggregatePublicKeys(publicKeys) {
aNonEmpty(publicKeys);
publicKeys = publicKeys.map((pub) => normPub(pub));
const agg = publicKeys.reduce((sum, p) => sum.add(p), PubCurve.Point.ZERO);
agg.assertValidity();
return agg;
},
// Adds a bunch of signature points together.
// pk1 + pk2 + pk3 = pkA
aggregateSignatures(signatures) {
aNonEmpty(signatures);
signatures = signatures.map((sig) => normSig(sig));
const agg = signatures.reduce((sum, s) => sum.add(s), SigCurve.Point.ZERO);
agg.assertValidity();
return agg;
},
hash(messageBytes, DST) {
(0, utils_ts_1.abytes)(messageBytes);
const opts = DST ? { DST } : undefined;
return SigCurve.hashToCurve(messageBytes, opts);
},
Signature: SignatureCoder,
};
}
// G1_Point: ProjConstructor<bigint>, G2_Point: ProjConstructor<Fp2>,
function bls(CURVE) {
// Fields are specific for curve, so for now we'll need to pass them with opts
const { Fp, Fr, Fp2, Fp6, Fp12 } = CURVE.fields;
// Point on G1 curve: (x, y)
const G1_ = (0, weierstrass_ts_1.weierstrassPoints)(CURVE.G1);
const G1 = Object.assign(G1_, (0, hash_to_curve_ts_1.createHasher)(G1_.Point, CURVE.G1.mapToCurve, {
...CURVE.htfDefaults,
...CURVE.G1.htfDefaults,
}));
// Point on G2 curve (complex numbers): (x₁, x₂+i), (y₁, y₂+i)
const G2_ = (0, weierstrass_ts_1.weierstrassPoints)(CURVE.G2);
const G2 = Object.assign(G2_, (0, hash_to_curve_ts_1.createHasher)(G2_.Point, CURVE.G2.mapToCurve, {
...CURVE.htfDefaults,
...CURVE.G2.htfDefaults,
}));
const pairingRes = createBlsPairing(CURVE.fields, G1.Point, G2.Point, {
...CURVE.params,
postPrecompute: CURVE.postPrecompute,
});
const { millerLoopBatch, pairing, pairingBatch, calcPairingPrecomputes } = pairingRes;
const longSignatures = createBlsSig(pairingRes, G1, G2, CURVE.G2.Signature, false);
const shortSignatures = createBlsSig(pairingRes, G2, G1, CURVE.G1.ShortSignature, true);
const rand = CURVE.randomBytes || utils_ts_1.randomBytes;
const randomSecretKey = () => {
const length = (0, modular_ts_1.getMinHashLength)(Fr.ORDER);
return (0, modular_ts_1.mapHashToField)(rand(length), Fr.ORDER);
};
const utils = {
randomSecretKey,
randomPrivateKey: randomSecretKey,
calcPairingPrecomputes,
};
const { ShortSignature } = CURVE.G1;
const { Signature } = CURVE.G2;
function normP1Hash(point, htfOpts) {
return point instanceof G1.Point
? point
: shortSignatures.hash((0, utils_ts_1.ensureBytes)('point', point), htfOpts?.DST);
}
function normP2Hash(point, htfOpts) {
return point instanceof G2.Point
? point
: longSignatures.hash((0, utils_ts_1.ensureBytes)('point', point), htfOpts?.DST);
}
function getPublicKey(privateKey) {
return longSignatures.getPublicKey(privateKey).toBytes(true);
}
function getPublicKeyForShortSignatures(privateKey) {
return shortSignatures.getPublicKey(privateKey).toBytes(true);
}
function sign(message, privateKey, htfOpts) {
const Hm = normP2Hash(message, htfOpts);
const S = longSignatures.sign(Hm, privateKey);
return message instanceof G2.Point ? S : Signature.toBytes(S);
}
function signShortSignature(message, privateKey, htfOpts) {
const Hm = normP1Hash(message, htfOpts);
const S = shortSignatures.sign(Hm, privateKey);
return message instanceof G1.Point ? S : ShortSignature.toBytes(S);
}
function verify(signature, message, publicKey, htfOpts) {
const Hm = normP2Hash(message, htfOpts);
return longSignatures.verify(signature, Hm, publicKey);
}
function verifyShortSignature(signature, message, publicKey, htfOpts) {
const Hm = normP1Hash(message, htfOpts);
return shortSignatures.verify(signature, Hm, publicKey);
}
function aggregatePublicKeys(publicKeys) {
const agg = longSignatures.aggregatePublicKeys(publicKeys);
return publicKeys[0] instanceof G1.Point ? agg : agg.toBytes(true);
}
function aggregateSignatures(signatures) {
const agg = longSignatures.aggregateSignatures(signatures);
return signatures[0] instanceof G2.Point ? agg : Signature.toBytes(agg);
}
function aggregateShortSignatures(signatures) {
const agg = shortSignatures.aggregateSignatures(signatures);
return signatures[0] instanceof G1.Point ? agg : ShortSignature.toBytes(agg);
}
function verifyBatch(signature, messages, publicKeys, htfOpts) {
const Hm = messages.map((m) => normP2Hash(m, htfOpts));
return longSignatures.verifyBatch(signature, Hm, publicKeys);
}
G1.Point.BASE.precompute(4);
return {
longSignatures,
shortSignatures,
millerLoopBatch,
pairing,
pairingBatch,
verifyBatch,
fields: {
Fr,
Fp,
Fp2,
Fp6,
Fp12,
},
params: {
ateLoopSize: CURVE.params.ateLoopSize,
twistType: CURVE.params.twistType,
// deprecated
r: CURVE.params.r,
G1b: CURVE.G1.b,
G2b: CURVE.G2.b,
},
utils,
// deprecated
getPublicKey,
getPublicKeyForShortSignatures,
sign,
signShortSignature,
verify,
verifyShortSignature,
aggregatePublicKeys,
aggregateSignatures,
aggregateShortSignatures,
G1,
G2,
Signature,
ShortSignature,
};
}
//# sourceMappingURL=bls.js.map
node_modules/@noble/curves/abstract/bls.js.map
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node_modules/@noble/curves/abstract/curve.d.ts
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import { type IField } from './modular.ts';
export type AffinePoint<T> = {
x: T;
y: T;
} & {
Z?: never;
};
export interface Group<T extends Group<T>> {
double(): T;
negate(): T;
add(other: T): T;
subtract(other: T): T;
equals(other: T): boolean;
multiply(scalar: bigint): T;
toAffine?(invertedZ?: any): AffinePoint<any>;
}
/** Base interface for all elliptic curve Points. */
export interface CurvePoint<F, P extends CurvePoint<F, P>> extends Group<P> {
/** Affine x coordinate. Different from projective / extended X coordinate. */
x: F;
/** Affine y coordinate. Different from projective / extended Y coordinate. */
y: F;
Z?: F;
double(): P;
negate(): P;
add(other: P): P;
subtract(other: P): P;
equals(other: P): boolean;
multiply(scalar: bigint): P;
assertValidity(): void;
clearCofactor(): P;
is0(): boolean;
isTorsionFree(): boolean;
isSmallOrder(): boolean;
multiplyUnsafe(scalar: bigint): P;
/**
* Massively speeds up `p.multiply(n)` by using precompute tables (caching). See {@link wNAF}.
* @param isLazy calculate cache now. Default (true) ensures it's deferred to first `multiply()`
*/
precompute(windowSize?: number, isLazy?: boolean): P;
/** Converts point to 2D xy affine coordinates */
toAffine(invertedZ?: F): AffinePoint<F>;
toBytes(): Uint8Array;
toHex(): string;
}
/** Base interface for all elliptic curve Point constructors. */
export interface CurvePointCons<P extends CurvePoint<any, P>> {
[Symbol.hasInstance]: (item: unknown) => boolean;
BASE: P;
ZERO: P;
/** Field for basic curve math */
Fp: IField<P_F<P>>;
/** Scalar field, for scalars in multiply and others */
Fn: IField<bigint>;
/** Creates point from x, y. Does NOT validate if the point is valid. Use `.assertValidity()`. */
fromAffine(p: AffinePoint<P_F<P>>): P;
fromBytes(bytes: Uint8Array): P;
fromHex(hex: Uint8Array | string): P;
}
/** Returns Fp type from Point (P_F<P> == P.F) */
export type P_F<P extends CurvePoint<any, P>> = P extends CurvePoint<infer F, P> ? F : never;
/** Returns Fp type from PointCons (PC_F<PC> == PC.P.F) */
export type PC_F<PC extends CurvePointCons<CurvePoint<any, any>>> = PC['Fp']['ZERO'];
/** Returns Point type from PointCons (PC_P<PC> == PC.P) */
export type PC_P<PC extends CurvePointCons<CurvePoint<any, any>>> = PC['ZERO'];
export type PC_ANY = CurvePointCons<CurvePoint<any, CurvePoint<any, CurvePoint<any, CurvePoint<any, CurvePoint<any, CurvePoint<any, CurvePoint<any, CurvePoint<any, CurvePoint<any, CurvePoint<any, any>>>>>>>>>>>;
export interface CurveLengths {
secretKey?: number;
publicKey?: number;
publicKeyUncompressed?: number;
publicKeyHasPrefix?: boolean;
signature?: number;
seed?: number;
}
export type GroupConstructor<T> = {
BASE: T;
ZERO: T;
};
/** @deprecated */
export type ExtendedGroupConstructor<T> = GroupConstructor<T> & {
Fp: IField<any>;
Fn: IField<bigint>;
fromAffine(ap: AffinePoint<any>): T;
};
export type Mapper<T> = (i: T[]) => T[];
export declare function negateCt<T extends {
negate: () => T;
}>(condition: boolean, item: T): T;
/**
* Takes a bunch of Projective Points but executes only one
* inversion on all of them. Inversion is very slow operation,
* so this improves performance massively.
* Optimization: converts a list of projective points to a list of identical points with Z=1.
*/
export declare function normalizeZ<P extends CurvePoint<any, P>, PC extends CurvePointCons<P>>(c: PC, points: P[]): P[];
/** Internal wNAF opts for specific W and scalarBits */
export type WOpts = {
windows: number;
windowSize: number;
mask: bigint;
maxNumber: number;
shiftBy: bigint;
};
/**
* Elliptic curve multiplication of Point by scalar. Fragile.
* Table generation takes **30MB of ram and 10ms on high-end CPU**,
* but may take much longer on slow devices. Actual generation will happen on
* first call of `multiply()`. By default, `BASE` point is precomputed.
*
* Scalars should always be less than curve order: this should be checked inside of a curve itself.
* Creates precomputation tables for fast multiplication:
* - private scalar is split by fixed size windows of W bits
* - every window point is collected from window's table & added to accumulator
* - since windows are different, same point inside tables won't be accessed more than once per calc
* - each multiplication is 'Math.ceil(CURVE_ORDER / 𝑊) + 1' point additions (fixed for any scalar)
* - +1 window is neccessary for wNAF
* - wNAF reduces table size: 2x less memory + 2x faster generation, but 10% slower multiplication
*
* @todo Research returning 2d JS array of windows, instead of a single window.
* This would allow windows to be in different memory locations
*/
export declare class wNAF<PC extends PC_ANY> {
private readonly BASE;
private readonly ZERO;
private readonly Fn;
readonly bits: number;
constructor(Point: PC, bits: number);
_unsafeLadder(elm: PC_P<PC>, n: bigint, p?: PC_P<PC>): PC_P<PC>;
/**
* Creates a wNAF precomputation window. Used for caching.
* Default window size is set by `utils.precompute()` and is equal to 8.
* Number of precomputed points depends on the curve size:
* 2^(𝑊−1) * (Math.ceil(𝑛 / 𝑊) + 1), where:
* - 𝑊 is the window size
* - 𝑛 is the bitlength of the curve order.
* For a 256-bit curve and window size 8, the number of precomputed points is 128 * 33 = 4224.
* @param point Point instance
* @param W window size
* @returns precomputed point tables flattened to a single array
*/
private precomputeWindow;
/**
* Implements ec multiplication using precomputed tables and w-ary non-adjacent form.
* More compact implementation:
* https://github.com/paulmillr/noble-secp256k1/blob/47cb1669b6e506ad66b35fe7d76132ae97465da2/index.ts#L502-L541
* @returns real and fake (for const-time) points
*/
private wNAF;
/**
* Implements ec unsafe (non const-time) multiplication using precomputed tables and w-ary non-adjacent form.
* @param acc accumulator point to add result of multiplication
* @returns point
*/
private wNAFUnsafe;
private getPrecomputes;
cached(point: PC_P<PC>, scalar: bigint, transform?: Mapper<PC_P<PC>>): {
p: PC_P<PC>;
f: PC_P<PC>;
};
unsafe(point: PC_P<PC>, scalar: bigint, transform?: Mapper<PC_P<PC>>, prev?: PC_P<PC>): PC_P<PC>;
createCache(P: PC_P<PC>, W: number): void;
hasCache(elm: PC_P<PC>): boolean;
}
/**
* Endomorphism-specific multiplication for Koblitz curves.
* Cost: 128 dbl, 0-256 adds.
*/
export declare function mulEndoUnsafe<P extends CurvePoint<any, P>, PC extends CurvePointCons<P>>(Point: PC, point: P, k1: bigint, k2: bigint): {
p1: P;
p2: P;
};
/**
* Pippenger algorithm for multi-scalar multiplication (MSM, Pa + Qb + Rc + ...).
* 30x faster vs naive addition on L=4096, 10x faster than precomputes.
* For N=254bit, L=1, it does: 1024 ADD + 254 DBL. For L=5: 1536 ADD + 254 DBL.
* Algorithmically constant-time (for same L), even when 1 point + scalar, or when scalar = 0.
* @param c Curve Point constructor
* @param fieldN field over CURVE.N - important that it's not over CURVE.P
* @param points array of L curve points
* @param scalars array of L scalars (aka secret keys / bigints)
*/
export declare function pippenger<P extends CurvePoint<any, P>, PC extends CurvePointCons<P>>(c: PC, fieldN: IField<bigint>, points: P[], scalars: bigint[]): P;
/**
* Precomputed multi-scalar multiplication (MSM, Pa + Qb + Rc + ...).
* @param c Curve Point constructor
* @param fieldN field over CURVE.N - important that it's not over CURVE.P
* @param points array of L curve points
* @returns function which multiplies points with scaars
*/
export declare function precomputeMSMUnsafe<P extends CurvePoint<any, P>, PC extends CurvePointCons<P>>(c: PC, fieldN: IField<bigint>, points: P[], windowSize: number): (scalars: bigint[]) => P;
/**
* Generic BasicCurve interface: works even for polynomial fields (BLS): P, n, h would be ok.
* Though generator can be different (Fp2 / Fp6 for BLS).
*/
export type BasicCurve<T> = {
Fp: IField<T>;
n: bigint;
nBitLength?: number;
nByteLength?: number;
h: bigint;
hEff?: bigint;
Gx: T;
Gy: T;
allowInfinityPoint?: boolean;
};
/** @deprecated */
export declare function validateBasic<FP, T>(curve: BasicCurve<FP> & T): Readonly<{
readonly nBitLength: number;
readonly nByteLength: number;
} & BasicCurve<FP> & T & {
p: bigint;
}>;
export type ValidCurveParams<T> = {
p: bigint;
n: bigint;
h: bigint;
a: T;
b?: T;
d?: T;
Gx: T;
Gy: T;
};
export type FpFn<T> = {
Fp: IField<T>;
Fn: IField<bigint>;
};
/** Validates CURVE opts and creates fields */
export declare function _createCurveFields<T>(type: 'weierstrass' | 'edwards', CURVE: ValidCurveParams<T>, curveOpts?: Partial<FpFn<T>>, FpFnLE?: boolean): FpFn<T> & {
CURVE: ValidCurveParams<T>;
};
//# sourceMappingURL=curve.d.ts.map
node_modules/@noble/curves/abstract/curve.d.ts.map
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"use strict";
Object.defineProperty(exports, "__esModule", { value: true });
exports.wNAF = void 0;
exports.negateCt = negateCt;
exports.normalizeZ = normalizeZ;
exports.mulEndoUnsafe = mulEndoUnsafe;
exports.pippenger = pippenger;
exports.precomputeMSMUnsafe = precomputeMSMUnsafe;
exports.validateBasic = validateBasic;
exports._createCurveFields = _createCurveFields;
/**
* Methods for elliptic curve multiplication by scalars.
* Contains wNAF, pippenger.
* @module
*/
/*! noble-curves - MIT License (c) 2022 Paul Miller (paulmillr.com) */
const utils_ts_1 = require("../utils.js");
const modular_ts_1 = require("./modular.js");
const _0n = BigInt(0);
const _1n = BigInt(1);
function negateCt(condition, item) {
const neg = item.negate();
return condition ? neg : item;
}
/**
* Takes a bunch of Projective Points but executes only one
* inversion on all of them. Inversion is very slow operation,
* so this improves performance massively.
* Optimization: converts a list of projective points to a list of identical points with Z=1.
*/
function normalizeZ(c, points) {
const invertedZs = (0, modular_ts_1.FpInvertBatch)(c.Fp, points.map((p) => p.Z));
return points.map((p, i) => c.fromAffine(p.toAffine(invertedZs[i])));
}
function validateW(W, bits) {
if (!Number.isSafeInteger(W) || W <= 0 || W > bits)
throw new Error('invalid window size, expected [1..' + bits + '], got W=' + W);
}
function calcWOpts(W, scalarBits) {
validateW(W, scalarBits);
const windows = Math.ceil(scalarBits / W) + 1; // W=8 33. Not 32, because we skip zero
const windowSize = 2 ** (W - 1); // W=8 128. Not 256, because we skip zero
const maxNumber = 2 ** W; // W=8 256
const mask = (0, utils_ts_1.bitMask)(W); // W=8 255 == mask 0b11111111
const shiftBy = BigInt(W); // W=8 8
return { windows, windowSize, mask, maxNumber, shiftBy };
}
function calcOffsets(n, window, wOpts) {
const { windowSize, mask, maxNumber, shiftBy } = wOpts;
let wbits = Number(n & mask); // extract W bits.
let nextN = n >> shiftBy; // shift number by W bits.
// What actually happens here:
// const highestBit = Number(mask ^ (mask >> 1n));
// let wbits2 = wbits - 1; // skip zero
// if (wbits2 & highestBit) { wbits2 ^= Number(mask); // (~);
// split if bits > max: +224 => 256-32
if (wbits > windowSize) {
// we skip zero, which means instead of `>= size-1`, we do `> size`
wbits -= maxNumber; // -32, can be maxNumber - wbits, but then we need to set isNeg here.
nextN += _1n; // +256 (carry)
}
const offsetStart = window * windowSize;
const offset = offsetStart + Math.abs(wbits) - 1; // -1 because we skip zero
const isZero = wbits === 0; // is current window slice a 0?
const isNeg = wbits < 0; // is current window slice negative?
const isNegF = window % 2 !== 0; // fake random statement for noise
const offsetF = offsetStart; // fake offset for noise
return { nextN, offset, isZero, isNeg, isNegF, offsetF };
}
function validateMSMPoints(points, c) {
if (!Array.isArray(points))
throw new Error('array expected');
points.forEach((p, i) => {
if (!(p instanceof c))
throw new Error('invalid point at index ' + i);
});
}
function validateMSMScalars(scalars, field) {
if (!Array.isArray(scalars))
throw new Error('array of scalars expected');
scalars.forEach((s, i) => {
if (!field.isValid(s))
throw new Error('invalid scalar at index ' + i);
});
}
// Since points in different groups cannot be equal (different object constructor),
// we can have single place to store precomputes.
// Allows to make points frozen / immutable.
const pointPrecomputes = new WeakMap();
const pointWindowSizes = new WeakMap();
function getW(P) {
// To disable precomputes:
// return 1;
return pointWindowSizes.get(P) || 1;
}
function assert0(n) {
if (n !== _0n)
throw new Error('invalid wNAF');
}
/**
* Elliptic curve multiplication of Point by scalar. Fragile.
* Table generation takes **30MB of ram and 10ms on high-end CPU**,
* but may take much longer on slow devices. Actual generation will happen on
* first call of `multiply()`. By default, `BASE` point is precomputed.
*
* Scalars should always be less than curve order: this should be checked inside of a curve itself.
* Creates precomputation tables for fast multiplication:
* - private scalar is split by fixed size windows of W bits
* - every window point is collected from window's table & added to accumulator
* - since windows are different, same point inside tables won't be accessed more than once per calc
* - each multiplication is 'Math.ceil(CURVE_ORDER / 𝑊) + 1' point additions (fixed for any scalar)
* - +1 window is neccessary for wNAF
* - wNAF reduces table size: 2x less memory + 2x faster generation, but 10% slower multiplication
*
* @todo Research returning 2d JS array of windows, instead of a single window.
* This would allow windows to be in different memory locations
*/
class wNAF {
// Parametrized with a given Point class (not individual point)
constructor(Point, bits) {
this.BASE = Point.BASE;
this.ZERO = Point.ZERO;
this.Fn = Point.Fn;
this.bits = bits;
}
// non-const time multiplication ladder
_unsafeLadder(elm, n, p = this.ZERO) {
let d = elm;
while (n > _0n) {
if (n & _1n)
p = p.add(d);
d = d.double();
n >>= _1n;
}
return p;
}
/**
* Creates a wNAF precomputation window. Used for caching.
* Default window size is set by `utils.precompute()` and is equal to 8.
* Number of precomputed points depends on the curve size:
* 2^(𝑊−1) * (Math.ceil(𝑛 / 𝑊) + 1), where:
* - 𝑊 is the window size
* - 𝑛 is the bitlength of the curve order.
* For a 256-bit curve and window size 8, the number of precomputed points is 128 * 33 = 4224.
* @param point Point instance
* @param W window size
* @returns precomputed point tables flattened to a single array
*/
precomputeWindow(point, W) {
const { windows, windowSize } = calcWOpts(W, this.bits);
const points = [];
let p = point;
let base = p;
for (let window = 0; window < windows; window++) {
base = p;
points.push(base);
// i=1, bc we skip 0
for (let i = 1; i < windowSize; i++) {
base = base.add(p);
points.push(base);
}
p = base.double();
}
return points;
}
/**
* Implements ec multiplication using precomputed tables and w-ary non-adjacent form.
* More compact implementation:
* https://github.com/paulmillr/noble-secp256k1/blob/47cb1669b6e506ad66b35fe7d76132ae97465da2/index.ts#L502-L541
* @returns real and fake (for const-time) points
*/
wNAF(W, precomputes, n) {
// Scalar should be smaller than field order
if (!this.Fn.isValid(n))
throw new Error('invalid scalar');
// Accumulators
let p = this.ZERO;
let f = this.BASE;
// This code was first written with assumption that 'f' and 'p' will never be infinity point:
// since each addition is multiplied by 2 ** W, it cannot cancel each other. However,
// there is negate now: it is possible that negated element from low value
// would be the same as high element, which will create carry into next window.
// It's not obvious how this can fail, but still worth investigating later.
const wo = calcWOpts(W, this.bits);
for (let window = 0; window < wo.windows; window++) {
// (n === _0n) is handled and not early-exited. isEven and offsetF are used for noise
const { nextN, offset, isZero, isNeg, isNegF, offsetF } = calcOffsets(n, window, wo);
n = nextN;
if (isZero) {
// bits are 0: add garbage to fake point
// Important part for const-time getPublicKey: add random "noise" point to f.
f = f.add(negateCt(isNegF, precomputes[offsetF]));
}
else {
// bits are 1: add to result point
p = p.add(negateCt(isNeg, precomputes[offset]));
}
}
assert0(n);
// Return both real and fake points: JIT won't eliminate f.
// At this point there is a way to F be infinity-point even if p is not,
// which makes it less const-time: around 1 bigint multiply.
return { p, f };
}
/**
* Implements ec unsafe (non const-time) multiplication using precomputed tables and w-ary non-adjacent form.
* @param acc accumulator point to add result of multiplication
* @returns point
*/
wNAFUnsafe(W, precomputes, n, acc = this.ZERO) {
const wo = calcWOpts(W, this.bits);
for (let window = 0; window < wo.windows; window++) {
if (n === _0n)
break; // Early-exit, skip 0 value
const { nextN, offset, isZero, isNeg } = calcOffsets(n, window, wo);
n = nextN;
if (isZero) {
// Window bits are 0: skip processing.
// Move to next window.
continue;
}
else {
const item = precomputes[offset];
acc = acc.add(isNeg ? item.negate() : item); // Re-using acc allows to save adds in MSM
}
}
assert0(n);
return acc;
}
getPrecomputes(W, point, transform) {
// Calculate precomputes on a first run, reuse them after
let comp = pointPrecomputes.get(point);
if (!comp) {
comp = this.precomputeWindow(point, W);
if (W !== 1) {
// Doing transform outside of if brings 15% perf hit
if (typeof transform === 'function')
comp = transform(comp);
pointPrecomputes.set(point, comp);
}
}
return comp;
}
cached(point, scalar, transform) {
const W = getW(point);
return this.wNAF(W, this.getPrecomputes(W, point, transform), scalar);
}
unsafe(point, scalar, transform, prev) {
const W = getW(point);
if (W === 1)
return this._unsafeLadder(point, scalar, prev); // For W=1 ladder is ~x2 faster
return this.wNAFUnsafe(W, this.getPrecomputes(W, point, transform), scalar, prev);
}
// We calculate precomputes for elliptic curve point multiplication
// using windowed method. This specifies window size and
// stores precomputed values. Usually only base point would be precomputed.
createCache(P, W) {
validateW(W, this.bits);
pointWindowSizes.set(P, W);
pointPrecomputes.delete(P);
}
hasCache(elm) {
return getW(elm) !== 1;
}
}
exports.wNAF = wNAF;
/**
* Endomorphism-specific multiplication for Koblitz curves.
* Cost: 128 dbl, 0-256 adds.
*/
function mulEndoUnsafe(Point, point, k1, k2) {
let acc = point;
let p1 = Point.ZERO;
let p2 = Point.ZERO;
while (k1 > _0n || k2 > _0n) {
if (k1 & _1n)
p1 = p1.add(acc);
if (k2 & _1n)
p2 = p2.add(acc);
acc = acc.double();
k1 >>= _1n;
k2 >>= _1n;
}
return { p1, p2 };
}
/**
* Pippenger algorithm for multi-scalar multiplication (MSM, Pa + Qb + Rc + ...).
* 30x faster vs naive addition on L=4096, 10x faster than precomputes.
* For N=254bit, L=1, it does: 1024 ADD + 254 DBL. For L=5: 1536 ADD + 254 DBL.
* Algorithmically constant-time (for same L), even when 1 point + scalar, or when scalar = 0.
* @param c Curve Point constructor
* @param fieldN field over CURVE.N - important that it's not over CURVE.P
* @param points array of L curve points
* @param scalars array of L scalars (aka secret keys / bigints)
*/
function pippenger(c, fieldN, points, scalars) {
// If we split scalars by some window (let's say 8 bits), every chunk will only
// take 256 buckets even if there are 4096 scalars, also re-uses double.
// TODO:
// - https://eprint.iacr.org/2024/750.pdf
// - https://tches.iacr.org/index.php/TCHES/article/view/10287
// 0 is accepted in scalars
validateMSMPoints(points, c);
validateMSMScalars(scalars, fieldN);
const plength = points.length;
const slength = scalars.length;
if (plength !== slength)
throw new Error('arrays of points and scalars must have equal length');
// if (plength === 0) throw new Error('array must be of length >= 2');
const zero = c.ZERO;
const wbits = (0, utils_ts_1.bitLen)(BigInt(plength));
let windowSize = 1; // bits
if (wbits > 12)
windowSize = wbits - 3;
else if (wbits > 4)
windowSize = wbits - 2;
else if (wbits > 0)
windowSize = 2;
const MASK = (0, utils_ts_1.bitMask)(windowSize);
const buckets = new Array(Number(MASK) + 1).fill(zero); // +1 for zero array
const lastBits = Math.floor((fieldN.BITS - 1) / windowSize) * windowSize;
let sum = zero;
for (let i = lastBits; i >= 0; i -= windowSize) {
buckets.fill(zero);
for (let j = 0; j < slength; j++) {
const scalar = scalars[j];
const wbits = Number((scalar >> BigInt(i)) & MASK);
buckets[wbits] = buckets[wbits].add(points[j]);
}
let resI = zero; // not using this will do small speed-up, but will lose ct
// Skip first bucket, because it is zero
for (let j = buckets.length - 1, sumI = zero; j > 0; j--) {
sumI = sumI.add(buckets[j]);
resI = resI.add(sumI);
}
sum = sum.add(resI);
if (i !== 0)
for (let j = 0; j < windowSize; j++)
sum = sum.double();
}
return sum;
}
/**
* Precomputed multi-scalar multiplication (MSM, Pa + Qb + Rc + ...).
* @param c Curve Point constructor
* @param fieldN field over CURVE.N - important that it's not over CURVE.P
* @param points array of L curve points
* @returns function which multiplies points with scaars
*/
function precomputeMSMUnsafe(c, fieldN, points, windowSize) {
/**
* Performance Analysis of Window-based Precomputation
*
* Base Case (256-bit scalar, 8-bit window):
* - Standard precomputation requires:
* - 31 additions per scalar × 256 scalars = 7,936 ops
* - Plus 255 summary additions = 8,191 total ops
* Note: Summary additions can be optimized via accumulator
*
* Chunked Precomputation Analysis:
* - Using 32 chunks requires:
* - 255 additions per chunk
* - 256 doublings
* - Total: (255 × 32) + 256 = 8,416 ops
*
* Memory Usage Comparison:
* Window Size | Standard Points | Chunked Points
* ------------|-----------------|---------------
* 4-bit | 520 | 15
* 8-bit | 4,224 | 255
* 10-bit | 13,824 | 1,023
* 16-bit | 557,056 | 65,535
*
* Key Advantages:
* 1. Enables larger window sizes due to reduced memory overhead
* 2. More efficient for smaller scalar counts:
* - 16 chunks: (16 × 255) + 256 = 4,336 ops
* - ~2x faster than standard 8,191 ops
*
* Limitations:
* - Not suitable for plain precomputes (requires 256 constant doublings)
* - Performance degrades with larger scalar counts:
* - Optimal for ~256 scalars
* - Less efficient for 4096+ scalars (Pippenger preferred)
*/
validateW(windowSize, fieldN.BITS);
validateMSMPoints(points, c);
const zero = c.ZERO;
const tableSize = 2 ** windowSize - 1; // table size (without zero)
const chunks = Math.ceil(fieldN.BITS / windowSize); // chunks of item
const MASK = (0, utils_ts_1.bitMask)(windowSize);
const tables = points.map((p) => {
const res = [];
for (let i = 0, acc = p; i < tableSize; i++) {
res.push(acc);
acc = acc.add(p);
}
return res;
});
return (scalars) => {
validateMSMScalars(scalars, fieldN);
if (scalars.length > points.length)
throw new Error('array of scalars must be smaller than array of points');
let res = zero;
for (let i = 0; i < chunks; i++) {
// No need to double if accumulator is still zero.
if (res !== zero)
for (let j = 0; j < windowSize; j++)
res = res.double();
const shiftBy = BigInt(chunks * windowSize - (i + 1) * windowSize);
for (let j = 0; j < scalars.length; j++) {
const n = scalars[j];
const curr = Number((n >> shiftBy) & MASK);
if (!curr)
continue; // skip zero scalars chunks
res = res.add(tables[j][curr - 1]);
}
}
return res;
};
}
// TODO: remove
/** @deprecated */
function validateBasic(curve) {
(0, modular_ts_1.validateField)(curve.Fp);
(0, utils_ts_1.validateObject)(curve, {
n: 'bigint',
h: 'bigint',
Gx: 'field',
Gy: 'field',
}, {
nBitLength: 'isSafeInteger',
nByteLength: 'isSafeInteger',
});
// Set defaults
return Object.freeze({
...(0, modular_ts_1.nLength)(curve.n, curve.nBitLength),
...curve,
...{ p: curve.Fp.ORDER },
});
}
function createField(order, field, isLE) {
if (field) {
if (field.ORDER !== order)
throw new Error('Field.ORDER must match order: Fp == p, Fn == n');
(0, modular_ts_1.validateField)(field);
return field;
}
else {
return (0, modular_ts_1.Field)(order, { isLE });
}
}
/** Validates CURVE opts and creates fields */
function _createCurveFields(type, CURVE, curveOpts = {}, FpFnLE) {
if (FpFnLE === undefined)
FpFnLE = type === 'edwards';
if (!CURVE || typeof CURVE !== 'object')
throw new Error(`expected valid ${type} CURVE object`);
for (const p of ['p', 'n', 'h']) {
const val = CURVE[p];
if (!(typeof val === 'bigint' && val > _0n))
throw new Error(`CURVE.${p} must be positive bigint`);
}
const Fp = createField(CURVE.p, curveOpts.Fp, FpFnLE);
const Fn = createField(CURVE.n, curveOpts.Fn, FpFnLE);
const _b = type === 'weierstrass' ? 'b' : 'd';
const params = ['Gx', 'Gy', 'a', _b];
for (const p of params) {
// @ts-ignore
if (!Fp.isValid(CURVE[p]))
throw new Error(`CURVE.${p} must be valid field element of CURVE.Fp`);
}
CURVE = Object.freeze(Object.assign({}, CURVE));
return { CURVE, Fp, Fn };
}
//# sourceMappingURL=curve.js.map
node_modules/@noble/curves/abstract/curve.js.map
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/**
* Twisted Edwards curve. The formula is: ax² + y² = 1 + dx²y².
* For design rationale of types / exports, see weierstrass module documentation.
* Untwisted Edwards curves exist, but they aren't used in real-world protocols.
* @module
*/
/*! noble-curves - MIT License (c) 2022 Paul Miller (paulmillr.com) */
import { type FHash, type Hex } from '../utils.ts';
import { type AffinePoint, type BasicCurve, type CurveLengths, type CurvePoint, type CurvePointCons } from './curve.ts';
import { type IField, type NLength } from './modular.ts';
export type UVRatio = (u: bigint, v: bigint) => {
isValid: boolean;
value: bigint;
};
/** Instance of Extended Point with coordinates in X, Y, Z, T. */
export interface EdwardsPoint extends CurvePoint<bigint, EdwardsPoint> {
/** extended X coordinate. Different from affine x. */
readonly X: bigint;
/** extended Y coordinate. Different from affine y. */
readonly Y: bigint;
/** extended Z coordinate */
readonly Z: bigint;
/** extended T coordinate */
readonly T: bigint;
/** @deprecated use `toBytes` */
toRawBytes(): Uint8Array;
/** @deprecated use `p.precompute(windowSize)` */
_setWindowSize(windowSize: number): void;
/** @deprecated use .X */
readonly ex: bigint;
/** @deprecated use .Y */
readonly ey: bigint;
/** @deprecated use .Z */
readonly ez: bigint;
/** @deprecated use .T */
readonly et: bigint;
}
/** Static methods of Extended Point with coordinates in X, Y, Z, T. */
export interface EdwardsPointCons extends CurvePointCons<EdwardsPoint> {
new (X: bigint, Y: bigint, Z: bigint, T: bigint): EdwardsPoint;
CURVE(): EdwardsOpts;
fromBytes(bytes: Uint8Array, zip215?: boolean): EdwardsPoint;
fromHex(hex: Hex, zip215?: boolean): EdwardsPoint;
/** @deprecated use `import { pippenger } from '@noble/curves/abstract/curve.js';` */
msm(points: EdwardsPoint[], scalars: bigint[]): EdwardsPoint;
}
/** @deprecated use EdwardsPoint */
export type ExtPointType = EdwardsPoint;
/** @deprecated use EdwardsPointCons */
export type ExtPointConstructor = EdwardsPointCons;
/**
* Twisted Edwards curve options.
*
* * a: formula param
* * d: formula param
* * p: prime characteristic (order) of finite field, in which arithmetics is done
* * n: order of prime subgroup a.k.a total amount of valid curve points
* * h: cofactor. h*n is group order; n is subgroup order
* * Gx: x coordinate of generator point a.k.a. base point
* * Gy: y coordinate of generator point
*/
export type EdwardsOpts = Readonly<{
p: bigint;
n: bigint;
h: bigint;
a: bigint;
d: bigint;
Gx: bigint;
Gy: bigint;
}>;
/**
* Extra curve options for Twisted Edwards.
*
* * Fp: redefined Field over curve.p
* * Fn: redefined Field over curve.n
* * uvRatio: helper function for decompression, calculating √(u/v)
*/
export type EdwardsExtraOpts = Partial<{
Fp: IField<bigint>;
Fn: IField<bigint>;
FpFnLE: boolean;
uvRatio: (u: bigint, v: bigint) => {
isValid: boolean;
value: bigint;
};
}>;
/**
* EdDSA (Edwards Digital Signature algorithm) options.
*
* * hash: hash function used to hash secret keys and messages
* * adjustScalarBytes: clears bits to get valid field element
* * domain: Used for hashing
* * mapToCurve: for hash-to-curve standard
* * prehash: RFC 8032 pre-hashing of messages to sign() / verify()
* * randomBytes: function generating random bytes, used for randomSecretKey
*/
export type EdDSAOpts = Partial<{
adjustScalarBytes: (bytes: Uint8Array) => Uint8Array;
domain: (data: Uint8Array, ctx: Uint8Array, phflag: boolean) => Uint8Array;
mapToCurve: (scalar: bigint[]) => AffinePoint<bigint>;
prehash: FHash;
randomBytes: (bytesLength?: number) => Uint8Array;
}>;
/**
* EdDSA (Edwards Digital Signature algorithm) interface.
*
* Allows to create and verify signatures, create public and secret keys.
*/
export interface EdDSA {
keygen: (seed?: Uint8Array) => {
secretKey: Uint8Array;
publicKey: Uint8Array;
};
getPublicKey: (secretKey: Hex) => Uint8Array;
sign: (message: Hex, secretKey: Hex, options?: {
context?: Hex;
}) => Uint8Array;
verify: (sig: Hex, message: Hex, publicKey: Hex, options?: {
context?: Hex;
zip215: boolean;
}) => boolean;
Point: EdwardsPointCons;
utils: {
randomSecretKey: (seed?: Uint8Array) => Uint8Array;
isValidSecretKey: (secretKey: Uint8Array) => boolean;
isValidPublicKey: (publicKey: Uint8Array, zip215?: boolean) => boolean;
/**
* Converts ed public key to x public key.
*
* There is NO `fromMontgomery`:
* - There are 2 valid ed25519 points for every x25519, with flipped coordinate
* - Sometimes there are 0 valid ed25519 points, because x25519 *additionally*
* accepts inputs on the quadratic twist, which can't be moved to ed25519
*
* @example
* ```js
* const someonesPub = ed25519.getPublicKey(ed25519.utils.randomSecretKey());
* const aPriv = x25519.utils.randomSecretKey();
* x25519.getSharedSecret(aPriv, ed25519.utils.toMontgomery(someonesPub))
* ```
*/
toMontgomery: (publicKey: Uint8Array) => Uint8Array;
/**
* Converts ed secret key to x secret key.
* @example
* ```js
* const someonesPub = x25519.getPublicKey(x25519.utils.randomSecretKey());
* const aPriv = ed25519.utils.randomSecretKey();
* x25519.getSharedSecret(ed25519.utils.toMontgomerySecret(aPriv), someonesPub)
* ```
*/
toMontgomerySecret: (privateKey: Uint8Array) => Uint8Array;
getExtendedPublicKey: (key: Hex) => {
head: Uint8Array;
prefix: Uint8Array;
scalar: bigint;
point: EdwardsPoint;
pointBytes: Uint8Array;
};
/** @deprecated use `randomSecretKey` */
randomPrivateKey: (seed?: Uint8Array) => Uint8Array;
/** @deprecated use `point.precompute()` */
precompute: (windowSize?: number, point?: EdwardsPoint) => EdwardsPoint;
};
lengths: CurveLengths;
}
export declare function edwards(params: EdwardsOpts, extraOpts?: EdwardsExtraOpts): EdwardsPointCons;
/**
* Base class for prime-order points like Ristretto255 and Decaf448.
* These points eliminate cofactor issues by representing equivalence classes
* of Edwards curve points.
*/
export declare abstract class PrimeEdwardsPoint<T extends PrimeEdwardsPoint<T>> implements CurvePoint<bigint, T> {
static BASE: PrimeEdwardsPoint<any>;
static ZERO: PrimeEdwardsPoint<any>;
static Fp: IField<bigint>;
static Fn: IField<bigint>;
protected readonly ep: EdwardsPoint;
constructor(ep: EdwardsPoint);
abstract toBytes(): Uint8Array;
abstract equals(other: T): boolean;
static fromBytes(_bytes: Uint8Array): any;
static fromHex(_hex: Hex): any;
get x(): bigint;
get y(): bigint;
clearCofactor(): T;
assertValidity(): void;
toAffine(invertedZ?: bigint): AffinePoint<bigint>;
toHex(): string;
toString(): string;
isTorsionFree(): boolean;
isSmallOrder(): boolean;
add(other: T): T;
subtract(other: T): T;
multiply(scalar: bigint): T;
multiplyUnsafe(scalar: bigint): T;
double(): T;
negate(): T;
precompute(windowSize?: number, isLazy?: boolean): T;
abstract is0(): boolean;
protected abstract assertSame(other: T): void;
protected abstract init(ep: EdwardsPoint): T;
/** @deprecated use `toBytes` */
toRawBytes(): Uint8Array;
}
/**
* Initializes EdDSA signatures over given Edwards curve.
*/
export declare function eddsa(Point: EdwardsPointCons, cHash: FHash, eddsaOpts?: EdDSAOpts): EdDSA;
export type CurveType = BasicCurve<bigint> & {
a: bigint;
d: bigint;
/** @deprecated the property will be removed in next release */
hash: FHash;
randomBytes?: (bytesLength?: number) => Uint8Array;
adjustScalarBytes?: (bytes: Uint8Array) => Uint8Array;
domain?: (data: Uint8Array, ctx: Uint8Array, phflag: boolean) => Uint8Array;
uvRatio?: UVRatio;
prehash?: FHash;
mapToCurve?: (scalar: bigint[]) => AffinePoint<bigint>;
};
export type CurveTypeWithLength = Readonly<CurveType & Partial<NLength>>;
export type CurveFn = {
/** @deprecated the property will be removed in next release */
CURVE: CurveType;
keygen: EdDSA['keygen'];
getPublicKey: EdDSA['getPublicKey'];
sign: EdDSA['sign'];
verify: EdDSA['verify'];
Point: EdwardsPointCons;
/** @deprecated use `Point` */
ExtendedPoint: EdwardsPointCons;
utils: EdDSA['utils'];
lengths: CurveLengths;
};
export type EdComposed = {
CURVE: EdwardsOpts;
curveOpts: EdwardsExtraOpts;
hash: FHash;
eddsaOpts: EdDSAOpts;
};
export declare function twistedEdwards(c: CurveTypeWithLength): CurveFn;
//# sourceMappingURL=edwards.d.ts.map
node_modules/@noble/curves/abstract/edwards.d.ts.map
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"use strict";
Object.defineProperty(exports, "__esModule", { value: true });
exports.PrimeEdwardsPoint = void 0;
exports.edwards = edwards;
exports.eddsa = eddsa;
exports.twistedEdwards = twistedEdwards;
/**
* Twisted Edwards curve. The formula is: ax² + y² = 1 + dx²y².
* For design rationale of types / exports, see weierstrass module documentation.
* Untwisted Edwards curves exist, but they aren't used in real-world protocols.
* @module
*/
/*! noble-curves - MIT License (c) 2022 Paul Miller (paulmillr.com) */
const utils_ts_1 = require("../utils.js");
const curve_ts_1 = require("./curve.js");
const modular_ts_1 = require("./modular.js");
// Be friendly to bad ECMAScript parsers by not using bigint literals
// prettier-ignore
const _0n = BigInt(0), _1n = BigInt(1), _2n = BigInt(2), _8n = BigInt(8);
function isEdValidXY(Fp, CURVE, x, y) {
const x2 = Fp.sqr(x);
const y2 = Fp.sqr(y);
const left = Fp.add(Fp.mul(CURVE.a, x2), y2);
const right = Fp.add(Fp.ONE, Fp.mul(CURVE.d, Fp.mul(x2, y2)));
return Fp.eql(left, right);
}
function edwards(params, extraOpts = {}) {
const validated = (0, curve_ts_1._createCurveFields)('edwards', params, extraOpts, extraOpts.FpFnLE);
const { Fp, Fn } = validated;
let CURVE = validated.CURVE;
const { h: cofactor } = CURVE;
(0, utils_ts_1._validateObject)(extraOpts, {}, { uvRatio: 'function' });
// Important:
// There are some places where Fp.BYTES is used instead of nByteLength.
// So far, everything has been tested with curves of Fp.BYTES == nByteLength.
// TODO: test and find curves which behave otherwise.
const MASK = _2n << (BigInt(Fn.BYTES * 8) - _1n);
const modP = (n) => Fp.create(n); // Function overrides
// sqrt(u/v)
const uvRatio = extraOpts.uvRatio ||
((u, v) => {
try {
return { isValid: true, value: Fp.sqrt(Fp.div(u, v)) };
}
catch (e) {
return { isValid: false, value: _0n };
}
});
// Validate whether the passed curve params are valid.
// equation ax² + y² = 1 + dx²y² should work for generator point.
if (!isEdValidXY(Fp, CURVE, CURVE.Gx, CURVE.Gy))
throw new Error('bad curve params: generator point');
/**
* Asserts coordinate is valid: 0 <= n < MASK.
* Coordinates >= Fp.ORDER are allowed for zip215.
*/
function acoord(title, n, banZero = false) {
const min = banZero ? _1n : _0n;
(0, utils_ts_1.aInRange)('coordinate ' + title, n, min, MASK);
return n;
}
function aextpoint(other) {
if (!(other instanceof Point))
throw new Error('ExtendedPoint expected');
}
// Converts Extended point to default (x, y) coordinates.
// Can accept precomputed Z^-1 - for example, from invertBatch.
const toAffineMemo = (0, utils_ts_1.memoized)((p, iz) => {
const { X, Y, Z } = p;
const is0 = p.is0();
if (iz == null)
iz = is0 ? _8n : Fp.inv(Z); // 8 was chosen arbitrarily
const x = modP(X * iz);
const y = modP(Y * iz);
const zz = Fp.mul(Z, iz);
if (is0)
return { x: _0n, y: _1n };
if (zz !== _1n)
throw new Error('invZ was invalid');
return { x, y };
});
const assertValidMemo = (0, utils_ts_1.memoized)((p) => {
const { a, d } = CURVE;
if (p.is0())
throw new Error('bad point: ZERO'); // TODO: optimize, with vars below?
// Equation in affine coordinates: ax² + y² = 1 + dx²y²
// Equation in projective coordinates (X/Z, Y/Z, Z): (aX² + Y²)Z² = Z⁴ + dX²Y²
const { X, Y, Z, T } = p;
const X2 = modP(X * X); // X²
const Y2 = modP(Y * Y); // Y²
const Z2 = modP(Z * Z); // Z²
const Z4 = modP(Z2 * Z2); // Z⁴
const aX2 = modP(X2 * a); // aX²
const left = modP(Z2 * modP(aX2 + Y2)); // (aX² + Y²)Z²
const right = modP(Z4 + modP(d * modP(X2 * Y2))); // Z⁴ + dX²Y²
if (left !== right)
throw new Error('bad point: equation left != right (1)');
// In Extended coordinates we also have T, which is x*y=T/Z: check X*Y == Z*T
const XY = modP(X * Y);
const ZT = modP(Z * T);
if (XY !== ZT)
throw new Error('bad point: equation left != right (2)');
return true;
});
// Extended Point works in extended coordinates: (X, Y, Z, T) ∋ (x=X/Z, y=Y/Z, T=xy).
// https://en.wikipedia.org/wiki/Twisted_Edwards_curve#Extended_coordinates
class Point {
constructor(X, Y, Z, T) {
this.X = acoord('x', X);
this.Y = acoord('y', Y);
this.Z = acoord('z', Z, true);
this.T = acoord('t', T);
Object.freeze(this);
}
static CURVE() {
return CURVE;
}
static fromAffine(p) {
if (p instanceof Point)
throw new Error('extended point not allowed');
const { x, y } = p || {};
acoord('x', x);
acoord('y', y);
return new Point(x, y, _1n, modP(x * y));
}
// Uses algo from RFC8032 5.1.3.
static fromBytes(bytes, zip215 = false) {
const len = Fp.BYTES;
const { a, d } = CURVE;
bytes = (0, utils_ts_1.copyBytes)((0, utils_ts_1._abytes2)(bytes, len, 'point'));
(0, utils_ts_1._abool2)(zip215, 'zip215');
const normed = (0, utils_ts_1.copyBytes)(bytes); // copy again, we'll manipulate it
const lastByte = bytes[len - 1]; // select last byte
normed[len - 1] = lastByte & ~0x80; // clear last bit
const y = (0, utils_ts_1.bytesToNumberLE)(normed);
// zip215=true is good for consensus-critical apps. =false follows RFC8032 / NIST186-5.
// RFC8032 prohibits >= p, but ZIP215 doesn't
// zip215=true: 0 <= y < MASK (2^256 for ed25519)
// zip215=false: 0 <= y < P (2^255-19 for ed25519)
const max = zip215 ? MASK : Fp.ORDER;
(0, utils_ts_1.aInRange)('point.y', y, _0n, max);
// Ed25519: x² = (y²-1)/(dy²+1) mod p. Ed448: x² = (y²-1)/(dy²-1) mod p. Generic case:
// ax²+y²=1+dx²y² => y²-1=dx²y²-ax² => y²-1=x²(dy²-a) => x²=(y²-1)/(dy²-a)
const y2 = modP(y * y); // denominator is always non-0 mod p.
const u = modP(y2 - _1n); // u = y² - 1
const v = modP(d * y2 - a); // v = d y² + 1.
let { isValid, value: x } = uvRatio(u, v); // √(u/v)
if (!isValid)
throw new Error('bad point: invalid y coordinate');
const isXOdd = (x & _1n) === _1n; // There are 2 square roots. Use x_0 bit to select proper
const isLastByteOdd = (lastByte & 0x80) !== 0; // x_0, last bit
if (!zip215 && x === _0n && isLastByteOdd)
// if x=0 and x_0 = 1, fail
throw new Error('bad point: x=0 and x_0=1');
if (isLastByteOdd !== isXOdd)
x = modP(-x); // if x_0 != x mod 2, set x = p-x
return Point.fromAffine({ x, y });
}
static fromHex(bytes, zip215 = false) {
return Point.fromBytes((0, utils_ts_1.ensureBytes)('point', bytes), zip215);
}
get x() {
return this.toAffine().x;
}
get y() {
return this.toAffine().y;
}
precompute(windowSize = 8, isLazy = true) {
wnaf.createCache(this, windowSize);
if (!isLazy)
this.multiply(_2n); // random number
return this;
}
// Useful in fromAffine() - not for fromBytes(), which always created valid points.
assertValidity() {
assertValidMemo(this);
}
// Compare one point to another.
equals(other) {
aextpoint(other);
const { X: X1, Y: Y1, Z: Z1 } = this;
const { X: X2, Y: Y2, Z: Z2 } = other;
const X1Z2 = modP(X1 * Z2);
const X2Z1 = modP(X2 * Z1);
const Y1Z2 = modP(Y1 * Z2);
const Y2Z1 = modP(Y2 * Z1);
return X1Z2 === X2Z1 && Y1Z2 === Y2Z1;
}
is0() {
return this.equals(Point.ZERO);
}
negate() {
// Flips point sign to a negative one (-x, y in affine coords)
return new Point(modP(-this.X), this.Y, this.Z, modP(-this.T));
}
// Fast algo for doubling Extended Point.
// https://hyperelliptic.org/EFD/g1p/auto-twisted-extended.html#doubling-dbl-2008-hwcd
// Cost: 4M + 4S + 1*a + 6add + 1*2.
double() {
const { a } = CURVE;
const { X: X1, Y: Y1, Z: Z1 } = this;
const A = modP(X1 * X1); // A = X12
const B = modP(Y1 * Y1); // B = Y12
const C = modP(_2n * modP(Z1 * Z1)); // C = 2*Z12
const D = modP(a * A); // D = a*A
const x1y1 = X1 + Y1;
const E = modP(modP(x1y1 * x1y1) - A - B); // E = (X1+Y1)2-A-B
const G = D + B; // G = D+B
const F = G - C; // F = G-C
const H = D - B; // H = D-B
const X3 = modP(E * F); // X3 = E*F
const Y3 = modP(G * H); // Y3 = G*H
const T3 = modP(E * H); // T3 = E*H
const Z3 = modP(F * G); // Z3 = F*G
return new Point(X3, Y3, Z3, T3);
}
// Fast algo for adding 2 Extended Points.
// https://hyperelliptic.org/EFD/g1p/auto-twisted-extended.html#addition-add-2008-hwcd
// Cost: 9M + 1*a + 1*d + 7add.
add(other) {
aextpoint(other);
const { a, d } = CURVE;
const { X: X1, Y: Y1, Z: Z1, T: T1 } = this;
const { X: X2, Y: Y2, Z: Z2, T: T2 } = other;
const A = modP(X1 * X2); // A = X1*X2
const B = modP(Y1 * Y2); // B = Y1*Y2
const C = modP(T1 * d * T2); // C = T1*d*T2
const D = modP(Z1 * Z2); // D = Z1*Z2
const E = modP((X1 + Y1) * (X2 + Y2) - A - B); // E = (X1+Y1)*(X2+Y2)-A-B
const F = D - C; // F = D-C
const G = D + C; // G = D+C
const H = modP(B - a * A); // H = B-a*A
const X3 = modP(E * F); // X3 = E*F
const Y3 = modP(G * H); // Y3 = G*H
const T3 = modP(E * H); // T3 = E*H
const Z3 = modP(F * G); // Z3 = F*G
return new Point(X3, Y3, Z3, T3);
}
subtract(other) {
return this.add(other.negate());
}
// Constant-time multiplication.
multiply(scalar) {
// 1 <= scalar < L
if (!Fn.isValidNot0(scalar))
throw new Error('invalid scalar: expected 1 <= sc < curve.n');
const { p, f } = wnaf.cached(this, scalar, (p) => (0, curve_ts_1.normalizeZ)(Point, p));
return (0, curve_ts_1.normalizeZ)(Point, [p, f])[0];
}
// Non-constant-time multiplication. Uses double-and-add algorithm.
// It's faster, but should only be used when you don't care about
// an exposed private key e.g. sig verification.
// Does NOT allow scalars higher than CURVE.n.
// Accepts optional accumulator to merge with multiply (important for sparse scalars)
multiplyUnsafe(scalar, acc = Point.ZERO) {
// 0 <= scalar < L
if (!Fn.isValid(scalar))
throw new Error('invalid scalar: expected 0 <= sc < curve.n');
if (scalar === _0n)
return Point.ZERO;
if (this.is0() || scalar === _1n)
return this;
return wnaf.unsafe(this, scalar, (p) => (0, curve_ts_1.normalizeZ)(Point, p), acc);
}
// Checks if point is of small order.
// If you add something to small order point, you will have "dirty"
// point with torsion component.
// Multiplies point by cofactor and checks if the result is 0.
isSmallOrder() {
return this.multiplyUnsafe(cofactor).is0();
}
// Multiplies point by curve order and checks if the result is 0.
// Returns `false` is the point is dirty.
isTorsionFree() {
return wnaf.unsafe(this, CURVE.n).is0();
}
// Converts Extended point to default (x, y) coordinates.
// Can accept precomputed Z^-1 - for example, from invertBatch.
toAffine(invertedZ) {
return toAffineMemo(this, invertedZ);
}
clearCofactor() {
if (cofactor === _1n)
return this;
return this.multiplyUnsafe(cofactor);
}
toBytes() {
const { x, y } = this.toAffine();
// Fp.toBytes() allows non-canonical encoding of y (>= p).
const bytes = Fp.toBytes(y);
// Each y has 2 valid points: (x, y), (x,-y).
// When compressing, it's enough to store y and use the last byte to encode sign of x
bytes[bytes.length - 1] |= x & _1n ? 0x80 : 0;
return bytes;
}
toHex() {
return (0, utils_ts_1.bytesToHex)(this.toBytes());
}
toString() {
return `<Point ${this.is0() ? 'ZERO' : this.toHex()}>`;
}
// TODO: remove
get ex() {
return this.X;
}
get ey() {
return this.Y;
}
get ez() {
return this.Z;
}
get et() {
return this.T;
}
static normalizeZ(points) {
return (0, curve_ts_1.normalizeZ)(Point, points);
}
static msm(points, scalars) {
return (0, curve_ts_1.pippenger)(Point, Fn, points, scalars);
}
_setWindowSize(windowSize) {
this.precompute(windowSize);
}
toRawBytes() {
return this.toBytes();
}
}
// base / generator point
Point.BASE = new Point(CURVE.Gx, CURVE.Gy, _1n, modP(CURVE.Gx * CURVE.Gy));
// zero / infinity / identity point
Point.ZERO = new Point(_0n, _1n, _1n, _0n); // 0, 1, 1, 0
// math field
Point.Fp = Fp;
// scalar field
Point.Fn = Fn;
const wnaf = new curve_ts_1.wNAF(Point, Fn.BITS);
Point.BASE.precompute(8); // Enable precomputes. Slows down first publicKey computation by 20ms.
return Point;
}
/**
* Base class for prime-order points like Ristretto255 and Decaf448.
* These points eliminate cofactor issues by representing equivalence classes
* of Edwards curve points.
*/
class PrimeEdwardsPoint {
constructor(ep) {
this.ep = ep;
}
// Static methods that must be implemented by subclasses
static fromBytes(_bytes) {
(0, utils_ts_1.notImplemented)();
}
static fromHex(_hex) {
(0, utils_ts_1.notImplemented)();
}
get x() {
return this.toAffine().x;
}
get y() {
return this.toAffine().y;
}
// Common implementations
clearCofactor() {
// no-op for prime-order groups
return this;
}
assertValidity() {
this.ep.assertValidity();
}
toAffine(invertedZ) {
return this.ep.toAffine(invertedZ);
}
toHex() {
return (0, utils_ts_1.bytesToHex)(this.toBytes());
}
toString() {
return this.toHex();
}
isTorsionFree() {
return true;
}
isSmallOrder() {
return false;
}
add(other) {
this.assertSame(other);
return this.init(this.ep.add(other.ep));
}
subtract(other) {
this.assertSame(other);
return this.init(this.ep.subtract(other.ep));
}
multiply(scalar) {
return this.init(this.ep.multiply(scalar));
}
multiplyUnsafe(scalar) {
return this.init(this.ep.multiplyUnsafe(scalar));
}
double() {
return this.init(this.ep.double());
}
negate() {
return this.init(this.ep.negate());
}
precompute(windowSize, isLazy) {
return this.init(this.ep.precompute(windowSize, isLazy));
}
/** @deprecated use `toBytes` */
toRawBytes() {
return this.toBytes();
}
}
exports.PrimeEdwardsPoint = PrimeEdwardsPoint;
/**
* Initializes EdDSA signatures over given Edwards curve.
*/
function eddsa(Point, cHash, eddsaOpts = {}) {
if (typeof cHash !== 'function')
throw new Error('"hash" function param is required');
(0, utils_ts_1._validateObject)(eddsaOpts, {}, {
adjustScalarBytes: 'function',
randomBytes: 'function',
domain: 'function',
prehash: 'function',
mapToCurve: 'function',
});
const { prehash } = eddsaOpts;
const { BASE, Fp, Fn } = Point;
const randomBytes = eddsaOpts.randomBytes || utils_ts_1.randomBytes;
const adjustScalarBytes = eddsaOpts.adjustScalarBytes || ((bytes) => bytes);
const domain = eddsaOpts.domain ||
((data, ctx, phflag) => {
(0, utils_ts_1._abool2)(phflag, 'phflag');
if (ctx.length || phflag)
throw new Error('Contexts/pre-hash are not supported');
return data;
}); // NOOP
// Little-endian SHA512 with modulo n
function modN_LE(hash) {
return Fn.create((0, utils_ts_1.bytesToNumberLE)(hash)); // Not Fn.fromBytes: it has length limit
}
// Get the hashed private scalar per RFC8032 5.1.5
function getPrivateScalar(key) {
const len = lengths.secretKey;
key = (0, utils_ts_1.ensureBytes)('private key', key, len);
// Hash private key with curve's hash function to produce uniformingly random input
// Check byte lengths: ensure(64, h(ensure(32, key)))
const hashed = (0, utils_ts_1.ensureBytes)('hashed private key', cHash(key), 2 * len);
const head = adjustScalarBytes(hashed.slice(0, len)); // clear first half bits, produce FE
const prefix = hashed.slice(len, 2 * len); // second half is called key prefix (5.1.6)
const scalar = modN_LE(head); // The actual private scalar
return { head, prefix, scalar };
}
/** Convenience method that creates public key from scalar. RFC8032 5.1.5 */
function getExtendedPublicKey(secretKey) {
const { head, prefix, scalar } = getPrivateScalar(secretKey);
const point = BASE.multiply(scalar); // Point on Edwards curve aka public key
const pointBytes = point.toBytes();
return { head, prefix, scalar, point, pointBytes };
}
/** Calculates EdDSA pub key. RFC8032 5.1.5. */
function getPublicKey(secretKey) {
return getExtendedPublicKey(secretKey).pointBytes;
}
// int('LE', SHA512(dom2(F, C) || msgs)) mod N
function hashDomainToScalar(context = Uint8Array.of(), ...msgs) {
const msg = (0, utils_ts_1.concatBytes)(...msgs);
return modN_LE(cHash(domain(msg, (0, utils_ts_1.ensureBytes)('context', context), !!prehash)));
}
/** Signs message with privateKey. RFC8032 5.1.6 */
function sign(msg, secretKey, options = {}) {
msg = (0, utils_ts_1.ensureBytes)('message', msg);
if (prehash)
msg = prehash(msg); // for ed25519ph etc.
const { prefix, scalar, pointBytes } = getExtendedPublicKey(secretKey);
const r = hashDomainToScalar(options.context, prefix, msg); // r = dom2(F, C) || prefix || PH(M)
const R = BASE.multiply(r).toBytes(); // R = rG
const k = hashDomainToScalar(options.context, R, pointBytes, msg); // R || A || PH(M)
const s = Fn.create(r + k * scalar); // S = (r + k * s) mod L
if (!Fn.isValid(s))
throw new Error('sign failed: invalid s'); // 0 <= s < L
const rs = (0, utils_ts_1.concatBytes)(R, Fn.toBytes(s));
return (0, utils_ts_1._abytes2)(rs, lengths.signature, 'result');
}
// verification rule is either zip215 or rfc8032 / nist186-5. Consult fromHex:
const verifyOpts = { zip215: true };
/**
* Verifies EdDSA signature against message and public key. RFC8032 5.1.7.
* An extended group equation is checked.
*/
function verify(sig, msg, publicKey, options = verifyOpts) {
const { context, zip215 } = options;
const len = lengths.signature;
sig = (0, utils_ts_1.ensureBytes)('signature', sig, len);
msg = (0, utils_ts_1.ensureBytes)('message', msg);
publicKey = (0, utils_ts_1.ensureBytes)('publicKey', publicKey, lengths.publicKey);
if (zip215 !== undefined)
(0, utils_ts_1._abool2)(zip215, 'zip215');
if (prehash)
msg = prehash(msg); // for ed25519ph, etc
const mid = len / 2;
const r = sig.subarray(0, mid);
const s = (0, utils_ts_1.bytesToNumberLE)(sig.subarray(mid, len));
let A, R, SB;
try {
// zip215=true is good for consensus-critical apps. =false follows RFC8032 / NIST186-5.
// zip215=true: 0 <= y < MASK (2^256 for ed25519)
// zip215=false: 0 <= y < P (2^255-19 for ed25519)
A = Point.fromBytes(publicKey, zip215);
R = Point.fromBytes(r, zip215);
SB = BASE.multiplyUnsafe(s); // 0 <= s < l is done inside
}
catch (error) {
return false;
}
if (!zip215 && A.isSmallOrder())
return false; // zip215 allows public keys of small order
const k = hashDomainToScalar(context, R.toBytes(), A.toBytes(), msg);
const RkA = R.add(A.multiplyUnsafe(k));
// Extended group equation
// [8][S]B = [8]R + [8][k]A'
return RkA.subtract(SB).clearCofactor().is0();
}
const _size = Fp.BYTES; // 32 for ed25519, 57 for ed448
const lengths = {
secretKey: _size,
publicKey: _size,
signature: 2 * _size,
seed: _size,
};
function randomSecretKey(seed = randomBytes(lengths.seed)) {
return (0, utils_ts_1._abytes2)(seed, lengths.seed, 'seed');
}
function keygen(seed) {
const secretKey = utils.randomSecretKey(seed);
return { secretKey, publicKey: getPublicKey(secretKey) };
}
function isValidSecretKey(key) {
return (0, utils_ts_1.isBytes)(key) && key.length === Fn.BYTES;
}
function isValidPublicKey(key, zip215) {
try {
return !!Point.fromBytes(key, zip215);
}
catch (error) {
return false;
}
}
const utils = {
getExtendedPublicKey,
randomSecretKey,
isValidSecretKey,
isValidPublicKey,
/**
* Converts ed public key to x public key. Uses formula:
* - ed25519:
* - `(u, v) = ((1+y)/(1-y), sqrt(-486664)*u/x)`
* - `(x, y) = (sqrt(-486664)*u/v, (u-1)/(u+1))`
* - ed448:
* - `(u, v) = ((y-1)/(y+1), sqrt(156324)*u/x)`
* - `(x, y) = (sqrt(156324)*u/v, (1+u)/(1-u))`
*/
toMontgomery(publicKey) {
const { y } = Point.fromBytes(publicKey);
const size = lengths.publicKey;
const is25519 = size === 32;
if (!is25519 && size !== 57)
throw new Error('only defined for 25519 and 448');
const u = is25519 ? Fp.div(_1n + y, _1n - y) : Fp.div(y - _1n, y + _1n);
return Fp.toBytes(u);
},
toMontgomerySecret(secretKey) {
const size = lengths.secretKey;
(0, utils_ts_1._abytes2)(secretKey, size);
const hashed = cHash(secretKey.subarray(0, size));
return adjustScalarBytes(hashed).subarray(0, size);
},
/** @deprecated */
randomPrivateKey: randomSecretKey,
/** @deprecated */
precompute(windowSize = 8, point = Point.BASE) {
return point.precompute(windowSize, false);
},
};
return Object.freeze({
keygen,
getPublicKey,
sign,
verify,
utils,
Point,
lengths,
});
}
function _eddsa_legacy_opts_to_new(c) {
const CURVE = {
a: c.a,
d: c.d,
p: c.Fp.ORDER,
n: c.n,
h: c.h,
Gx: c.Gx,
Gy: c.Gy,
};
const Fp = c.Fp;
const Fn = (0, modular_ts_1.Field)(CURVE.n, c.nBitLength, true);
const curveOpts = { Fp, Fn, uvRatio: c.uvRatio };
const eddsaOpts = {
randomBytes: c.randomBytes,
adjustScalarBytes: c.adjustScalarBytes,
domain: c.domain,
prehash: c.prehash,
mapToCurve: c.mapToCurve,
};
return { CURVE, curveOpts, hash: c.hash, eddsaOpts };
}
function _eddsa_new_output_to_legacy(c, eddsa) {
const Point = eddsa.Point;
const legacy = Object.assign({}, eddsa, {
ExtendedPoint: Point,
CURVE: c,
nBitLength: Point.Fn.BITS,
nByteLength: Point.Fn.BYTES,
});
return legacy;
}
// TODO: remove. Use eddsa
function twistedEdwards(c) {
const { CURVE, curveOpts, hash, eddsaOpts } = _eddsa_legacy_opts_to_new(c);
const Point = edwards(CURVE, curveOpts);
const EDDSA = eddsa(Point, hash, eddsaOpts);
return _eddsa_new_output_to_legacy(c, EDDSA);
}
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/**
* Experimental implementation of NTT / FFT (Fast Fourier Transform) over finite fields.
* API may change at any time. The code has not been audited. Feature requests are welcome.
* @module
*/
import type { IField } from './modular.ts';
export interface MutableArrayLike<T> {
[index: number]: T;
length: number;
slice(start?: number, end?: number): this;
[Symbol.iterator](): Iterator<T>;
}
/** Checks if integer is in form of `1 << X` */
export declare function isPowerOfTwo(x: number): boolean;
export declare function nextPowerOfTwo(n: number): number;
export declare function reverseBits(n: number, bits: number): number;
/** Similar to `bitLen(x)-1` but much faster for small integers, like indices */
export declare function log2(n: number): number;
/**
* Moves lowest bit to highest position, which at first step splits
* array on even and odd indices, then it applied again to each part,
* which is core of fft
*/
export declare function bitReversalInplace<T extends MutableArrayLike<any>>(values: T): T;
export declare function bitReversalPermutation<T>(values: T[]): T[];
export type RootsOfUnity = {
roots: (bits: number) => bigint[];
brp(bits: number): bigint[];
inverse(bits: number): bigint[];
omega: (bits: number) => bigint;
clear: () => void;
};
/** We limit roots up to 2**31, which is a lot: 2-billion polynomimal should be rare. */
export declare function rootsOfUnity(field: IField<bigint>, generator?: bigint): RootsOfUnity;
export type Polynomial<T> = MutableArrayLike<T>;
/**
* Maps great to Field<bigint>, but not to Group (EC points):
* - inv from scalar field
* - we need multiplyUnsafe here, instead of multiply for speed
* - multiplyUnsafe is safe in the context: we do mul(rootsOfUnity), which are public and sparse
*/
export type FFTOpts<T, R> = {
add: (a: T, b: T) => T;
sub: (a: T, b: T) => T;
mul: (a: T, scalar: R) => T;
inv: (a: R) => R;
};
export type FFTCoreOpts<R> = {
N: number;
roots: Polynomial<R>;
dit: boolean;
invertButterflies?: boolean;
skipStages?: number;
brp?: boolean;
};
export type FFTCoreLoop<T> = <P extends Polynomial<T>>(values: P) => P;
/**
* Constructs different flavors of FFT. radix2 implementation of low level mutating API. Flavors:
*
* - DIT (Decimation-in-Time): Bottom-Up (leaves -> root), Cool-Turkey
* - DIF (Decimation-in-Frequency): Top-Down (root -> leaves), Gentleman–Sande
*
* DIT takes brp input, returns natural output.
* DIF takes natural input, returns brp output.
*
* The output is actually identical. Time / frequence distinction is not meaningful
* for Polynomial multiplication in fields.
* Which means if protocol supports/needs brp output/inputs, then we can skip this step.
*
* Cyclic NTT: Rq = Zq[x]/(x^n-1). butterfly_DIT+loop_DIT OR butterfly_DIF+loop_DIT, roots are omega
* Negacyclic NTT: Rq = Zq[x]/(x^n+1). butterfly_DIT+loop_DIF, at least for mlkem / mldsa
*/
export declare const FFTCore: <T, R>(F: FFTOpts<T, R>, coreOpts: FFTCoreOpts<R>) => FFTCoreLoop<T>;
export type FFTMethods<T> = {
direct<P extends Polynomial<T>>(values: P, brpInput?: boolean, brpOutput?: boolean): P;
inverse<P extends Polynomial<T>>(values: P, brpInput?: boolean, brpOutput?: boolean): P;
};
/**
* NTT aka FFT over finite field (NOT over complex numbers).
* Naming mirrors other libraries.
*/
export declare function FFT<T>(roots: RootsOfUnity, opts: FFTOpts<T, bigint>): FFTMethods<T>;
export type CreatePolyFn<P extends Polynomial<T>, T> = (len: number, elm?: T) => P;
export type PolyFn<P extends Polynomial<T>, T> = {
roots: RootsOfUnity;
create: CreatePolyFn<P, T>;
length?: number;
degree: (a: P) => number;
extend: (a: P, len: number) => P;
add: (a: P, b: P) => P;
sub: (a: P, b: P) => P;
mul: (a: P, b: P | T) => P;
dot: (a: P, b: P) => P;
convolve: (a: P, b: P) => P;
shift: (p: P, factor: bigint) => P;
clone: (a: P) => P;
eval: (a: P, basis: P) => T;
monomial: {
basis: (x: T, n: number) => P;
eval: (a: P, x: T) => T;
};
lagrange: {
basis: (x: T, n: number, brp?: boolean) => P;
eval: (a: P, x: T, brp?: boolean) => T;
};
vanishing: (roots: P) => P;
};
/**
* Poly wants a cracker.
*
* Polynomials are functions like `y=f(x)`, which means when we multiply two polynomials, result is
* function `f3(x) = f1(x) * f2(x)`, we don't multiply values. Key takeaways:
*
* - **Polynomial** is an array of coefficients: `f(x) = sum(coeff[i] * basis[i](x))`
* - **Basis** is array of functions
* - **Monominal** is Polynomial where `basis[i](x) == x**i` (powers)
* - **Array size** is domain size
* - **Lattice** is matrix (Polynomial of Polynomials)
*/
export declare function poly<T>(field: IField<T>, roots: RootsOfUnity, create?: undefined, fft?: FFTMethods<T>, length?: number): PolyFn<T[], T>;
export declare function poly<T, P extends Polynomial<T>>(field: IField<T>, roots: RootsOfUnity, create: CreatePolyFn<P, T>, fft?: FFTMethods<T>, length?: number): PolyFn<P, T>;
//# sourceMappingURL=fft.d.ts.map
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