Funmatu Funmatu

## VimNeuralMap.html
<!DOCTYPE html>
<html lang="ja">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>Vim Neural Map - Visual Cheat Sheet</title>
    <style>
        :root {
            --bg-color: #1a1b26;
            --key-bg: #24283b;

## optimization-algorithm-for-maximum-product-of-sequences.ipynb

      
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                Funmatu
                / optimization-algorithm-for-maximum-product-of-sequences.ipynb
            
            
              Created
              January 4, 2026 05:48
            
              
                Optimization algorithm for maximum product of sequences.ipynb
              
          
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## rust_rayon_vs_numpy_benchmark.ipynb

      
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                Funmatu
                / rust_rayon_vs_numpy_benchmark.ipynb
            
            
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              January 3, 2026 13:41
            
              
                [Benchmark] NumPy (unstable ~60ms) vs Rust Rayon (stable 10ms). Rust optimization eliminates environment jitter.
              
          
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## run.sh
#!/bin/bash
set -e

# プロジェクト設定
PROJECT_NAME="nx_compute_rs" # Rustのクレート名はスネークケース
REPO_NAME="nx-compute-rs"    # リポジトリ名はケバブケース

echo "🚀 Initializing R&D Dual-Runtime Project: $REPO_NAME..."

# ディレクトリ作成

## deformable_cardboard.py
import bpy
import bmesh
import math
import os
import random
import mathutils

# ==========================================
# 設定エリア
# ==========================================

## create_cardboard_blender.py
import bpy
import bmesh
import math
import mathutils
import os

# ★Omniverse Connectorがインストールされている場合、オペレーター経由で利用します。
# 直接のimportは環境によってModuleNotFoundErrorになる可能性があるため、
# 実際の処理は bpy.ops.omni... を使用して実装します。
try:

## rpgmvp2png.py
import os
import sys
import argparse
from typing import Tuple


def convert_rpgmvp_to_png(input_path: str, output_path: str) -> None:
    """
    単一の.rpgmvpファイルを.pngファイルに変換します。

## createSlidesFromMarp.gs
// (onOpen, showMarpInputDialog_HtmlService, processMarpTextFromDialog は変更なし)
// (parseGlobalDirectives, applyGlobalDirectives, addHeaderFooterToSlide, updatePageNumbers はV5から流用)
// (calculateApproximateHeightV4, applyBoldMarkdownV4, addMarkdownTableToSlide, addHtmlTableToSlide はV6.1のものを流用)

function createSlidesFromMarp(marpText) {
  try {
    Logger.log('Starting slide generation (Simplified Layout with Tables)...');
    const presentation = SlidesApp.create('Generated Marp Presentation - Simplified Tables');
    Logger.log(`Presentation created: ${presentation.getName()} (ID: ${presentation.getId()})`);
    const globalDirectives = parseGlobalDirectives(marpText);

## letterbox.py
# letterbox.py

from typing import Tuple, Union

import torch
import torch.nn.functional as F
import kornia

# korniaのワーニングを抑制 (バージョンによっては表示されることがあるため)
import warnings

## letterbox_image.py
def letterbox_image(image: Image.Image, target_size: int = 1024) -> Tuple[Image.Image, Tuple[int, int, float]]:
    """アスペクト比を維持してリサイズし、1024x1024にパディングする"""
    target_w, target_h = target_size, target_size
    iw, ih = image.size
    scale = min(target_w / iw, target_h / ih)
    new_w, new_h = int(iw * scale), int(ih * scale)

    image_resized = image.resize((new_w, new_h), Image.Resampling.LANCZOS)

    new_image = Image.new("RGB", (target_w, target_h), (128, 128, 128))
	<!DOCTYPE html>
	<html lang="ja">
	<head>
	<meta charset="UTF-8">
	<meta name="viewport" content="width=device-width, initial-scale=1.0">
	<title>Vim Neural Map - Visual Cheat Sheet</title>
	<style>
	:root {
	--bg-color: #1a1b26;
	--key-bg: #24283b;
	#!/bin/bash
	set -e

	# プロジェクト設定
	PROJECT_NAME="nx_compute_rs" # Rustのクレート名はスネークケース
	REPO_NAME="nx-compute-rs" # リポジトリ名はケバブケース

	echo "🚀 Initializing R&D Dual-Runtime Project: $REPO_NAME..."

	# ディレクトリ作成
	import bpy
	import bmesh
	import math
	import os
	import random
	import mathutils

	# ==========================================
	# 設定エリア
	# ==========================================
	import os
	import sys
	import argparse
	from typing import Tuple


	def convert_rpgmvp_to_png(input_path: str, output_path: str) -> None:
	"""
	単一の.rpgmvpファイルを.pngファイルに変換します。
	// (onOpen, showMarpInputDialog_HtmlService, processMarpTextFromDialog は変更なし)
	// (parseGlobalDirectives, applyGlobalDirectives, addHeaderFooterToSlide, updatePageNumbers はV5から流用)
	// (calculateApproximateHeightV4, applyBoldMarkdownV4, addMarkdownTableToSlide, addHtmlTableToSlide はV6.1のものを流用)

	function createSlidesFromMarp(marpText) {
	try {
	Logger.log('Starting slide generation (Simplified Layout with Tables)...');
	const presentation = SlidesApp.create('Generated Marp Presentation - Simplified Tables');
	Logger.log(`Presentation created: ${presentation.getName()} (ID: ${presentation.getId()})`);
	const globalDirectives = parseGlobalDirectives(marpText);
	# letterbox.py

	from typing import Tuple, Union

	import torch
	import torch.nn.functional as F
	import kornia

	# korniaのワーニングを抑制 (バージョンによっては表示されることがあるため)
	import warnings
	def letterbox_image(image: Image.Image, target_size: int = 1024) -> Tuple[Image.Image, Tuple[int, int, float]]:
	"""アスペクト比を維持してリサイズし、1024x1024にパディングする"""
	target_w, target_h = target_size, target_size
	iw, ih = image.size
	scale = min(target_w / iw, target_h / ih)
	new_w, new_h = int(iw * scale), int(ih * scale)

	image_resized = image.resize((new_w, new_h), Image.Resampling.LANCZOS)

	new_image = Image.new("RGB", (target_w, target_h), (128, 128, 128))