820 lines
59 KiB
Plaintext
820 lines
59 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "3036ad45",
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"metadata": {},
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"source": [
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"# 生成字体步骤\n",
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"\n",
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"- 获取字符列表\n",
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"- 从字体中提取子集，合并成一个完整的字体文件\n",
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"- 生成不同 size 与 bpp 的点阵字体"
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]
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},
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{
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"cell_type": "markdown",
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"id": "93205a30",
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"metadata": {},
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"source": [
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"## 获取字符列表\n",
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"\n",
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"这里使用 DeepSeek 的词表来提取常用字符"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "45820776",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Requirement already satisfied: modelscope in /home/terrence/miniconda3/envs/dev/lib/python3.12/site-packages (1.28.1)\n",
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"Requirement already satisfied: transformers in /home/terrence/miniconda3/envs/dev/lib/python3.12/site-packages (4.54.1)\n",
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"Requirement already satisfied: requests>=2.25 in /home/terrence/miniconda3/envs/dev/lib/python3.12/site-packages (from modelscope) (2.32.3)\n",
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"Requirement already satisfied: setuptools in /home/terrence/miniconda3/envs/dev/lib/python3.12/site-packages (from modelscope) (75.8.0)\n",
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"Requirement already satisfied: tqdm>=4.64.0 in /home/terrence/miniconda3/envs/dev/lib/python3.12/site-packages (from modelscope) (4.67.1)\n",
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"Requirement already satisfied: urllib3>=1.26 in /home/terrence/miniconda3/envs/dev/lib/python3.12/site-packages (from modelscope) (2.4.0)\n",
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"Requirement already satisfied: filelock in /home/terrence/miniconda3/envs/dev/lib/python3.12/site-packages (from transformers) (3.18.0)\n",
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"Requirement already satisfied: huggingface-hub<1.0,>=0.34.0 in /home/terrence/miniconda3/envs/dev/lib/python3.12/site-packages (from transformers) (0.34.3)\n",
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"Requirement already satisfied: numpy>=1.17 in /home/terrence/miniconda3/envs/dev/lib/python3.12/site-packages (from transformers) (2.2.6)\n",
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"Requirement already satisfied: packaging>=20.0 in /home/terrence/miniconda3/envs/dev/lib/python3.12/site-packages (from transformers) (25.0)\n",
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"Requirement already satisfied: pyyaml>=5.1 in /home/terrence/miniconda3/envs/dev/lib/python3.12/site-packages (from transformers) (6.0.2)\n",
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"Requirement already satisfied: regex!=2019.12.17 in /home/terrence/miniconda3/envs/dev/lib/python3.12/site-packages (from transformers) (2025.7.34)\n",
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"Requirement already satisfied: tokenizers<0.22,>=0.21 in /home/terrence/miniconda3/envs/dev/lib/python3.12/site-packages (from transformers) (0.21.4)\n",
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"Requirement already satisfied: safetensors>=0.4.3 in /home/terrence/miniconda3/envs/dev/lib/python3.12/site-packages (from transformers) (0.5.3)\n",
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"Requirement already satisfied: fsspec>=2023.5.0 in /home/terrence/miniconda3/envs/dev/lib/python3.12/site-packages (from huggingface-hub<1.0,>=0.34.0->transformers) (2025.7.0)\n",
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"Requirement already satisfied: typing-extensions>=3.7.4.3 in /home/terrence/miniconda3/envs/dev/lib/python3.12/site-packages (from huggingface-hub<1.0,>=0.34.0->transformers) (4.14.1)\n",
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"Requirement already satisfied: hf-xet<2.0.0,>=1.1.3 in /home/terrence/miniconda3/envs/dev/lib/python3.12/site-packages (from huggingface-hub<1.0,>=0.34.0->transformers) (1.1.5)\n",
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"Requirement already satisfied: charset-normalizer<4,>=2 in /home/terrence/miniconda3/envs/dev/lib/python3.12/site-packages (from requests>=2.25->modelscope) (3.4.2)\n",
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"Requirement already satisfied: idna<4,>=2.5 in /home/terrence/miniconda3/envs/dev/lib/python3.12/site-packages (from requests>=2.25->modelscope) (3.10)\n",
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"Requirement already satisfied: certifi>=2017.4.17 in /home/terrence/miniconda3/envs/dev/lib/python3.12/site-packages (from requests>=2.25->modelscope) (2025.8.3)\n"
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]
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}
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],
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"source": [
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"# 安装 modelscope\n",
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"!pip install modelscope transformers"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "c3acd714",
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"/home/terrence/miniconda3/envs/dev/lib/python3.12/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
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" from .autonotebook import tqdm as notebook_tqdm\n",
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"None of PyTorch, TensorFlow >= 2.0, or Flax have been found. Models won't be available and only tokenizers, configuration and file/data utilities can be used.\n"
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]
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Downloading Model from https://www.modelscope.cn to directory: /home/terrence/.cache/modelscope/hub/models/deepseek-ai/DeepSeek-R1-0528\n"
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]
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}
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],
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"source": [
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"from tqdm import tqdm\n",
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"from modelscope import AutoTokenizer\n",
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"\n",
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"model_name = \"deepseek-ai/DeepSeek-R1-0528\"\n",
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"\n",
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"# load the tokenizer and the model\n",
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"tokenizer = AutoTokenizer.from_pretrained(model_name)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "e4ab8eb6",
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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" 0%| | 0/128815 [00:00<?, ?it/s]"
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]
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},
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"100%|██████████| 128815/128815 [00:00<00:00, 360022.20it/s]"
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]
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Total unique chars: 7404\n",
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"Wrote 7404 unique characters to unique_chars.txt (sorted by token ID)\n"
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]
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},
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"\n"
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]
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}
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],
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"source": [
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"import os\n",
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"\n",
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"# 创建临时目录\n",
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"if not os.path.exists(\"build\"):\n",
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" os.makedirs(\"build\")\n",
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"\n",
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"unique_chars = {} # 存储字符和对应的token ID\n",
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"\n",
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"for id in tqdm(range(len(tokenizer.get_vocab()))):\n",
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" token = tokenizer.decode(id)\n",
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" if token.startswith(\"<｜\"):\n",
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" continue\n",
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" # 对于每个字符，记录最小的token ID\n",
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" for char in token:\n",
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" if char not in unique_chars:\n",
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" unique_chars[char] = id\n",
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"\n",
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"# count total unique chars\n",
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"print(f\"Total unique chars: {len(unique_chars)}\")\n",
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"\n",
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"sorted_chars = sorted(unique_chars.items(), key=lambda x: x[1])\n",
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"# write to file - 按照token ID排序\n",
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"with open(\"./build/chars.txt\", \"w\") as f:\n",
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" # 按照token ID排序输出\n",
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" for char, token_id in sorted_chars:\n",
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" f.write(char + \"\\n\")\n",
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"\n",
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"print(f\"Wrote {len(unique_chars)} unique characters to unique_chars.txt (sorted by token ID)\")"
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]
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},
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{
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"cell_type": "markdown",
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"id": "82281aaa",
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"metadata": {},
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"source": [
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"## 从字体中提取子集\n",
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"\n",
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"字体文件可以从 https://www.alibabafonts.com/ 或 https://fonts.google.com/noto 下载到 fonts 目录下"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"id": "031a7a93",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Requirement already satisfied: fonttools in /home/terrence/miniconda3/envs/dev/lib/python3.12/site-packages (4.59.0)\n"
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]
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}
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],
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"source": [
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"!pip install fonttools"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"id": "ac8117b0",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Building subsetter\n",
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"basic_unicodes: Added 810 chars from assets\n",
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"common_unicodes: Added chars: 7422\n",
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"Subsetting 7 fonts\n"
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]
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},
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"100%|██████████| 7/7 [00:01<00:00, 4.38it/s]\n"
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]
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Merging 7 fonts\n",
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"Merged font saved to build/puhui-basic.ttf\n",
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"Subsetting 7 fonts\n"
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]
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},
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"100%|██████████| 7/7 [00:06<00:00, 1.03it/s]\n"
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]
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Merging 7 fonts\n",
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"Merged font saved to build/puhui-common.ttf\n"
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]
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}
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],
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"source": [
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"import os\n",
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"import shutil\n",
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"import json\n",
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"from fontTools.subset import Subsetter, Options, load_font, save_font\n",
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"from fontTools.merge import Merger\n",
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"from fontTools.ttLib.scaleUpem import scale_upem\n",
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"\n",
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"print(f\"Building subsetter\")\n",
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"basic_unicodes = set(range(0x20, 0x7f)) | set(range(0xA1, 0x100))\n",
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"for parent, dirs, files in os.walk(\"../../main/assets/locales\"):\n",
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" for filename in files:\n",
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" if filename == 'language.json':\n",
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" with open(os.path.join(parent, filename), 'r') as f:\n",
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" strings = json.load(f)[\"strings\"]\n",
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" # Add all values to unicodes\n",
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" for value in strings.values():\n",
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" for char in value:\n",
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" basic_unicodes.add(ord(char))\n",
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"print(f\"basic_unicodes: Added {len(basic_unicodes)} chars from assets\")\n",
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"\n",
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"common_unicodes = basic_unicodes.copy()\n",
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"for char, token_id in sorted_chars:\n",
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" common_unicodes.add(ord(char))\n",
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"print(f\"common_unicodes: Added chars: {len(common_unicodes)}\")\n",
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"\n",
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"font_list = []\n",
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"\n",
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"def build_ttf(font_type, font_style, font_name, unicodes):\n",
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" global font_list\n",
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" # font_list = [\n",
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" # f\"fonts/Noto_Sans/static/NotoSans-{font_style}.ttf\",\n",
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" # f\"fonts/Noto_Emoji/static/NotoEmoji-{font_style}.ttf\",\n",
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" # f\"fonts/Noto_Sans_JP/static/NotoSansJP-{font_style}.ttf\",\n",
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" # f\"fonts/Noto_Sans_KR/static/NotoSansKR-{font_style}.ttf\",\n",
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" # f\"fonts/Noto_Sans_SC/static/NotoSansSC-{font_style}.ttf\",\n",
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" # f\"fonts/Noto_Sans_TC/static/NotoSansTC-{font_style}.ttf\",\n",
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" # f\"fonts/Noto_Sans_Thai/static/NotoSansThai-{font_style}.ttf\"\n",
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" # ]\n",
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" font_list = [\n",
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" f\"fonts/AlibabaSans/AlibabaSans-{font_style}/AlibabaSans-{font_style}.ttf\",\n",
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" f\"fonts/AlibabaPuHuiTi-3/AlibabaPuHuiTi-3-55-{font_style}/AlibabaPuHuiTi-3-55-{font_style}.ttf\",\n",
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" f\"fonts/AlibabaSansJP/AlibabaSansJP-{font_style}/AlibabaSansJP-{font_style}.ttf\",\n",
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" f\"fonts/AlibabaSansKR/AlibabaSansKR-{font_style}/AlibabaSansKR-{font_style}.ttf\",\n",
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" f\"fonts/AlibabaSansTC/AlibabaSansTC-55/AlibabaSansTC-55.ttf\",\n",
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" f\"fonts/AlibabaSansThai/AlibabaSansThai-Rg/AlibabaSansThai-Rg.ttf\",\n",
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" f\"fonts/AlibabaSansViet/AlibabaSansViet-Rg/AlibabaSansViet-Rg.ttf\",\n",
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" ]\n",
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"\n",
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" if not os.path.exists(f\"build/subsets\"):\n",
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" os.makedirs(f\"build/subsets\")\n",
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"\n",
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" print(f\"Subsetting {len(font_list)} fonts\")\n",
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" subset_fonts = []\n",
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" subsetter = Subsetter(Options())\n",
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" subsetter.populate(unicodes=list(unicodes))\n",
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" # 遍历 font_list，提取每个字体中的字符\n",
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" for font_path in tqdm(font_list):\n",
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" if not os.path.exists(font_path):\n",
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" print(f\"Font {font_path} not found\")\n",
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" continue\n",
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" font = load_font(font_path, Options())\n",
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" font_file = font_path.split('/')[-1].split('.')[0]\n",
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" subsetter.subset(font)\n",
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" scale_upem(font, 1000)\n",
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" save_path = f\"build/subsets/{font_file}.ttf\"\n",
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" font.save(save_path)\n",
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" subset_fonts.append(save_path)\n",
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"\n",
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" # 合并所有字体，保存到 build/puhui-{len(unicodes)}-{style}.ttf\n",
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" print(f\"Merging {len(subset_fonts)} fonts\")\n",
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" output_path = f\"build/{font_type}-{font_name}.ttf\"\n",
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" cmd = f\"fonttools merge {\" \".join(subset_fonts)} --output-file={output_path} --drop-tables=vhea,vmtx\"\n",
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" os.system(cmd)\n",
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" print(f\"Merged font saved to {output_path}\")\n",
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"\n",
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"\n",
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"build_ttf(\"puhui\", \"Regular\", \"basic\", basic_unicodes)\n",
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"build_ttf(\"puhui\", \"Regular\", \"common\", common_unicodes)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "5f1cb872",
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"metadata": {},
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"source": [
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"## 生成不同 size 与 bpp 的点阵字体"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"id": "49c783db",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"字体: build/puhui-common.ttf, 大小: 20px, BPP: 1\n"
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]
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},
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{
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"data": {
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|
||
"text/plain": [
|
||
"<PIL.Image.Image image mode=RGBA size=695x30>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"字体: build/puhui-common.ttf, 大小: 20px, BPP: 2\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
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",
|
||
"text/plain": [
|
||
"<PIL.Image.Image image mode=RGBA size=742x30>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"字体: build/puhui-common.ttf, 大小: 20px, BPP: 3\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<PIL.Image.Image image mode=RGBA size=742x30>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"字体: build/puhui-common.ttf, 大小: 20px, BPP: 4\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": "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",
|
||
"text/plain": [
|
||
"<PIL.Image.Image image mode=RGBA size=742x30>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"import os\n",
|
||
"from PIL import Image\n",
|
||
"import json\n",
|
||
"from IPython.display import display\n",
|
||
"\n",
|
||
"# https://github.com/78/lv_font_conv (Support cbin format)\n",
|
||
"lv_font_conv = \"node ./tmp/lv_font_conv/lv_font_conv.js\"\n",
|
||
"flags = \"--force-fast-kern-format --no-compress --no-prefilter \"\n",
|
||
"\n",
|
||
"def preview_font(font_path, size, bpp):\n",
|
||
" symbols_str = \"0123456789你好，正在充电！Helloこんにちは안녕하세요ЗдравствуйтеOláสวัสดี\"\n",
|
||
" output = \"./build/preview\"\n",
|
||
" if os.path.exists(output):\n",
|
||
" shutil.rmtree(output)\n",
|
||
" os.makedirs(output)\n",
|
||
" cmd = f\"{lv_font_conv} {flags} --font {font_path} --format dump --bpp {bpp} -o {output} --size {size} --symbols {symbols_str} \"\n",
|
||
" os.system(cmd)\n",
|
||
" \n",
|
||
" # 读取字体信息\n",
|
||
" font_info_path = os.path.join(output, \"font_info.json\")\n",
|
||
" if not os.path.exists(font_info_path):\n",
|
||
" print(\"未找到font_info.json文件\")\n",
|
||
" return\n",
|
||
" \n",
|
||
" with open(font_info_path, 'r', encoding='utf-8') as f:\n",
|
||
" font_info = json.load(f)\n",
|
||
" \n",
|
||
" # 获取字体高度信息\n",
|
||
" font_height = font_info.get('size', size)\n",
|
||
" ascent = font_info.get('ascent', font_height)\n",
|
||
" descent = font_info.get('descent', 0)\n",
|
||
" \n",
|
||
" # 收集所有PNG文件并按照字符顺序排序\n",
|
||
" png_files = []\n",
|
||
" char_positions = {} # 存储每个字符在原始字符串中的位置\n",
|
||
" \n",
|
||
" for i, char in enumerate(symbols_str):\n",
|
||
" unicode_hex = f\"{ord(char):x}.png\"\n",
|
||
" png_path = os.path.join(output, unicode_hex)\n",
|
||
" if os.path.exists(png_path):\n",
|
||
" png_files.append((char, png_path, i))\n",
|
||
" char_positions[char] = i\n",
|
||
" \n",
|
||
" # 按照原始字符串顺序排序\n",
|
||
" png_files.sort(key=lambda x: x[2])\n",
|
||
" \n",
|
||
" if not png_files:\n",
|
||
" print(\"未找到任何PNG文件\")\n",
|
||
" return\n",
|
||
" \n",
|
||
" # 加载所有图片并计算总尺寸\n",
|
||
" images = []\n",
|
||
" total_width = 0\n",
|
||
" max_height = 0\n",
|
||
" \n",
|
||
" for char, png_path, _ in png_files:\n",
|
||
" try:\n",
|
||
" img = Image.open(png_path).convert('RGBA')\n",
|
||
" images.append((char, img))\n",
|
||
" total_width += img.width + 2 # 添加2像素间距\n",
|
||
" max_height = max(max_height, img.height)\n",
|
||
" except Exception as e:\n",
|
||
" print(f\"无法加载图片 {png_path}: {e}\")\n",
|
||
" continue\n",
|
||
" \n",
|
||
" if not images:\n",
|
||
" print(\"没有成功加载任何图片\")\n",
|
||
" return\n",
|
||
" \n",
|
||
" # 移除最后一个字符的间距\n",
|
||
" total_width -= 2\n",
|
||
" \n",
|
||
" # 创建预览图画布，使用字体高度作为画布高度\n",
|
||
" canvas_height = max(max_height, font_height + 10) # 添加一些padding\n",
|
||
" canvas = Image.new('RGBA', (total_width, canvas_height), (255, 255, 255, 255))\n",
|
||
" \n",
|
||
" # 拼接图片\n",
|
||
" x_offset = 0\n",
|
||
" for char, img in images:\n",
|
||
" # 计算垂直居中位置\n",
|
||
" y_offset = (canvas_height - img.height) // 2\n",
|
||
" canvas.paste(img, (x_offset, y_offset), img)\n",
|
||
" x_offset += img.width + 2\n",
|
||
" \n",
|
||
" # 打印字符信息\n",
|
||
" print(f\"字体: {font_path}, 大小: {size}px, BPP: {bpp}\")\n",
|
||
" \n",
|
||
" # 在 notebook 中直接显示图片\n",
|
||
" display(canvas)\n",
|
||
" \n",
|
||
" return canvas\n",
|
||
"\n",
|
||
"# 调用函数并显示图片\n",
|
||
"font_size = 20\n",
|
||
"for bpp in [1, 2, 3, 4]:\n",
|
||
" preview_image = preview_font(\"build/puhui-common.ttf\", font_size, bpp)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "44c7121f",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Generating src/font_puhui_basic_14_1.c...\n",
|
||
"Generating src/font_puhui_basic_16_4.c...\n",
|
||
"Generating src/font_puhui_basic_20_4.c...\n",
|
||
"Generating src/font_puhui_basic_30_4.c...\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"\n",
|
||
"flags = \"--force-fast-kern-format --no-compress --no-prefilter \"\n",
|
||
"\n",
|
||
"def generate_font_source(font_path, name, size, bpp):\n",
|
||
" output = f\"src/font_{name}_{size}_{bpp}.c\"\n",
|
||
" print(f\"Generating {output}...\")\n",
|
||
" cmd = f\"{lv_font_conv} {flags} --font {font_path} --format lvgl --lv-include lvgl.h --bpp {bpp} -o {output} --size {size} -r 0x0-0xfffff\"\n",
|
||
" os.system(cmd)\n",
|
||
"\n",
|
||
"generate_font_source(\"build/puhui-basic.ttf\", \"puhui_basic\", 14, 1)\n",
|
||
"generate_font_source(\"build/puhui-basic.ttf\", \"puhui_basic\", 16, 4)\n",
|
||
"generate_font_source(\"build/puhui-basic.ttf\", \"puhui_basic\", 20, 4)\n",
|
||
"generate_font_source(\"build/puhui-basic.ttf\", \"puhui_basic\", 30, 4)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 12,
|
||
"id": "0aa3e502",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Generating build/font_puhui_common_14_1.bin...\n",
|
||
"Forced faster kerning format (via classes). Size increase is 708 bytes.\n",
|
||
"Generating build/font_puhui_common_16_4.bin...\n",
|
||
"Forced faster kerning format (via classes). Size increase is 708 bytes.\n",
|
||
"Generating build/font_puhui_common_20_4.bin...\n",
|
||
"Forced faster kerning format (via classes). Size increase is 708 bytes.\n",
|
||
"Generating build/font_puhui_common_30_4.bin...\n",
|
||
"Forced faster kerning format (via classes). Size increase is 708 bytes.\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"def generate_font_bin(font_path, name, size, bpp):\n",
|
||
" output = f\"build/font_{name}_{size}_{bpp}.bin\"\n",
|
||
" print(f\"Generating {output}...\")\n",
|
||
" cmd = f\"{lv_font_conv} {flags} --font {font_path} --format cbin --bpp {bpp} -o {output} --size {size} -r 0x0-0xfffff\"\n",
|
||
" os.system(cmd)\n",
|
||
"\n",
|
||
"# Generate cbin font\n",
|
||
"generate_font_bin(\"build/puhui-common.ttf\", \"puhui_common\", 14, 1)\n",
|
||
"generate_font_bin(\"build/puhui-common.ttf\", \"puhui_common\", 16, 4)\n",
|
||
"generate_font_bin(\"build/puhui-common.ttf\", \"puhui_common\", 20, 4)\n",
|
||
"generate_font_bin(\"build/puhui-common.ttf\", \"puhui_common\", 30, 4)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 36,
|
||
"id": "fb65161e",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"=== 开始并行生成字体bin文件 ===\n",
|
||
"开始并行生成 28 个字体文件，使用 8 个进程...\n"
|
||
]
|
||
},
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"生成字体文件: 0%| | 0/28 [00:00<?, ?it/s]"
|
||
]
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Generating build/full/AlibabaSans-Regular_30_4.bin...Generating build/full/AlibabaPuHuiTi-3-55-Regular_30_4.bin...Generating build/full/AlibabaPuHuiTi-3-55-Regular_14_1.bin...Generating build/full/AlibabaSans-Regular_16_4.bin...Generating build/full/AlibabaPuHuiTi-3-55-Regular_16_4.bin...Generating build/full/AlibabaPuHuiTi-3-55-Regular_20_4.bin...Generating build/full/AlibabaSans-Regular_14_1.bin...Generating build/full/AlibabaSans-Regular_20_4.bin...\n",
|
||
"\n",
|
||
"\n",
|
||
"\n",
|
||
"\n",
|
||
"\n",
|
||
"\n",
|
||
"\n"
|
||
]
|
||
},
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"生成字体文件: 4%|▎ | 1/28 [00:01<00:29, 1.09s/it]"
|
||
]
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Generating build/full/AlibabaSansJP-Regular_14_1.bin...\n",
|
||
"Generating build/full/AlibabaSansJP-Regular_16_4.bin...\n",
|
||
"Generating build/full/AlibabaSansJP-Regular_20_4.bin...\n",
|
||
"Generating build/full/AlibabaSansJP-Regular_30_4.bin...\n",
|
||
"Generating build/full/AlibabaSansKR-Regular_14_1.bin...\n",
|
||
"Generating build/full/AlibabaSansKR-Regular_16_4.bin...\n",
|
||
"Generating build/full/AlibabaSansKR-Regular_20_4.bin...\n",
|
||
"Generating build/full/AlibabaSansKR-Regular_30_4.bin...\n",
|
||
"Generating build/full/AlibabaSansTC-55_14_1.bin...\n",
|
||
"Generating build/full/AlibabaSansTC-55_16_4.bin...\n",
|
||
"Generating build/full/AlibabaSansTC-55_20_4.bin...\n",
|
||
"Generating build/full/AlibabaSansTC-55_30_4.bin...\n",
|
||
"Generating build/full/AlibabaSansThai-Rg_14_1.bin...\n",
|
||
"Forced faster kerning format (via classes). Size increase is 9024 bytes.\n",
|
||
"Generating build/full/AlibabaSansThai-Rg_16_4.bin...\n",
|
||
"Generating build/full/AlibabaSansThai-Rg_20_4.bin...\n",
|
||
"Generating build/full/AlibabaSansThai-Rg_30_4.bin...\n",
|
||
"Generating build/full/AlibabaSansViet-Rg_14_1.bin...\n",
|
||
"Generating build/full/AlibabaSansViet-Rg_16_4.bin...\n",
|
||
"Generating build/full/AlibabaSansViet-Rg_20_4.bin...\n",
|
||
"Generating build/full/AlibabaSansViet-Rg_30_4.bin...\n",
|
||
"Forced faster kerning format (via classes). Size increase is 9024 bytes.\n",
|
||
"Forced faster kerning format (via classes). Size increase is 9024 bytes.\n",
|
||
"Forced faster kerning format (via classes). Size increase is 9024 bytes.\n"
|
||
]
|
||
},
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"生成字体文件: 18%|█▊ | 5/28 [03:36<17:36, 45.94s/it]"
|
||
]
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Forced faster kerning format (via classes). Size increase is 12716 bytes.\n",
|
||
"Forced faster kerning format (via classes). Size increase is 12716 bytes.\n"
|
||
]
|
||
},
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"生成字体文件: 21%|██▏ | 6/28 [03:37<13:01, 35.52s/it]"
|
||
]
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Forced faster kerning format (via classes). Size increase is 12716 bytes.\n"
|
||
]
|
||
},
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"生成字体文件: 100%|██████████| 28/28 [03:53<00:00, 8.34s/it]"
|
||
]
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Forced faster kerning format (via classes). Size increase is 12716 bytes.\n",
|
||
"完成生成 28 个字体文件\n"
|
||
]
|
||
},
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"['build/full/AlibabaSans-Regular_14_1.bin',\n",
|
||
" 'build/full/AlibabaSans-Regular_16_4.bin',\n",
|
||
" 'build/full/AlibabaSans-Regular_20_4.bin',\n",
|
||
" 'build/full/AlibabaSans-Regular_30_4.bin',\n",
|
||
" 'build/full/AlibabaPuHuiTi-3-55-Regular_14_1.bin',\n",
|
||
" 'build/full/AlibabaPuHuiTi-3-55-Regular_16_4.bin',\n",
|
||
" 'build/full/AlibabaPuHuiTi-3-55-Regular_20_4.bin',\n",
|
||
" 'build/full/AlibabaPuHuiTi-3-55-Regular_30_4.bin',\n",
|
||
" 'build/full/AlibabaSansJP-Regular_14_1.bin',\n",
|
||
" 'build/full/AlibabaSansJP-Regular_16_4.bin',\n",
|
||
" 'build/full/AlibabaSansJP-Regular_20_4.bin',\n",
|
||
" 'build/full/AlibabaSansJP-Regular_30_4.bin',\n",
|
||
" 'build/full/AlibabaSansKR-Regular_14_1.bin',\n",
|
||
" 'build/full/AlibabaSansKR-Regular_16_4.bin',\n",
|
||
" 'build/full/AlibabaSansKR-Regular_20_4.bin',\n",
|
||
" 'build/full/AlibabaSansKR-Regular_30_4.bin',\n",
|
||
" 'build/full/AlibabaSansTC-55_14_1.bin',\n",
|
||
" 'build/full/AlibabaSansTC-55_16_4.bin',\n",
|
||
" 'build/full/AlibabaSansTC-55_20_4.bin',\n",
|
||
" 'build/full/AlibabaSansTC-55_30_4.bin',\n",
|
||
" 'build/full/AlibabaSansThai-Rg_14_1.bin',\n",
|
||
" 'build/full/AlibabaSansThai-Rg_16_4.bin',\n",
|
||
" 'build/full/AlibabaSansThai-Rg_20_4.bin',\n",
|
||
" 'build/full/AlibabaSansThai-Rg_30_4.bin',\n",
|
||
" 'build/full/AlibabaSansViet-Rg_14_1.bin',\n",
|
||
" 'build/full/AlibabaSansViet-Rg_16_4.bin',\n",
|
||
" 'build/full/AlibabaSansViet-Rg_20_4.bin',\n",
|
||
" 'build/full/AlibabaSansViet-Rg_30_4.bin']"
|
||
]
|
||
},
|
||
"execution_count": 36,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"import multiprocessing as mp\n",
|
||
"from functools import partial\n",
|
||
"import os\n",
|
||
"import shutil\n",
|
||
"\n",
|
||
"build_dir = \"build/full\"\n",
|
||
"if os.path.exists(build_dir):\n",
|
||
" shutil.rmtree(build_dir)\n",
|
||
"os.makedirs(build_dir)\n",
|
||
"\n",
|
||
"def generate_font_full_bin(args):\n",
|
||
" \"\"\"单个字体生成任务\"\"\"\n",
|
||
" font_path, name, size, bpp = args\n",
|
||
" output = f\"{build_dir}/{name}_{size}_{bpp}.bin\"\n",
|
||
" print(f\"Generating {output}...\")\n",
|
||
" cmd = f\"lv_font_conv {flags} --font {font_path} --format bin --bpp {bpp} -o {output} --size {size} -r 0x0-0xfffff\"\n",
|
||
" os.system(cmd)\n",
|
||
" return output\n",
|
||
"\n",
|
||
"# 创建任务列表\n",
|
||
"def create_font_tasks(font_list, task_type=\"bin\"):\n",
|
||
" \"\"\"创建字体生成任务列表\"\"\"\n",
|
||
" tasks = []\n",
|
||
" sizes_bpps = [(14, 1), (16, 4), (20, 4), (30, 4)]\n",
|
||
" \n",
|
||
" for font_path in font_list:\n",
|
||
" font_name = font_path.split('/')[-1].split('.')[0]\n",
|
||
" for size, bpp in sizes_bpps:\n",
|
||
" tasks.append((font_path, font_name, size, bpp))\n",
|
||
" \n",
|
||
" return tasks\n",
|
||
"\n",
|
||
"\n",
|
||
"# 多进程生成字体文件\n",
|
||
"def generate_fonts_parallel(font_list, task_type=\"bin\", max_workers=None):\n",
|
||
" \"\"\"使用进程池并行生成字体文件\"\"\"\n",
|
||
" if max_workers is None:\n",
|
||
" max_workers = min(mp.cpu_count(), len(font_list) * 4) # 每个字体4个任务\n",
|
||
" \n",
|
||
" tasks = create_font_tasks(font_list, task_type)\n",
|
||
" \n",
|
||
" print(f\"开始并行生成 {len(tasks)} 个字体文件，使用 {max_workers} 个进程...\")\n",
|
||
" \n",
|
||
" with mp.Pool(processes=max_workers) as pool:\n",
|
||
" if task_type == \"bin\":\n",
|
||
" results = list(tqdm(\n",
|
||
" pool.imap(generate_font_full_bin, tasks),\n",
|
||
" total=len(tasks),\n",
|
||
" desc=\"生成字体文件\"\n",
|
||
" ))\n",
|
||
" else:\n",
|
||
" results = list(tqdm(\n",
|
||
" pool.imap(generate_font_source_mp, tasks),\n",
|
||
" total=len(tasks),\n",
|
||
" desc=\"生成字体源码\"\n",
|
||
" ))\n",
|
||
" \n",
|
||
" print(f\"完成生成 {len(results)} 个字体文件\")\n",
|
||
" return results\n",
|
||
"\n",
|
||
"# 并行生成bin文件\n",
|
||
"print(\"=== 开始并行生成字体bin文件 ===\")\n",
|
||
"generate_fonts_parallel(font_list, task_type=\"bin\", max_workers=8)\n"
|
||
]
|
||
}
|
||
],
|
||
"metadata": {
|
||
"kernelspec": {
|
||
"display_name": "dev",
|
||
"language": "python",
|
||
"name": "python3"
|
||
},
|
||
"language_info": {
|
||
"codemirror_mode": {
|
||
"name": "ipython",
|
||
"version": 3
|
||
},
|
||
"file_extension": ".py",
|
||
"mimetype": "text/x-python",
|
||
"name": "python",
|
||
"nbconvert_exporter": "python",
|
||
"pygments_lexer": "ipython3",
|
||
"version": "3.12.9"
|
||
}
|
||
},
|
||
"nbformat": 4,
|
||
"nbformat_minor": 5
|
||
}
|