fix: 修复Python 3.13环境下PyInstaller构建崩溃问题
问题: - PyInstaller在分析阶段尝试导入torch/transformers等ML库 - 这些库与Python 3.13不兼容,导致"Windows fatal exception: access violation" - 构建过程无法完成,无法生成exe文件 解决方案: 1. 添加pyi_hooks/pyi_rth_ignore_torch.py运行时hook - 在PyInstaller分析阶段阻止torch等模块的导入 - 这些模块将在运行时动态安装 2. 添加pyi_hooks/hook-exclude-ml.py和hook-paddleocr.py - 明确告诉PyInstaller不收集这些ML库 3. 更新build.bat和build.sh - 使用--runtime-hook和--additional-hooks-dir - 添加--exclude-module参数排除所有ML库 测试: - 验证所有hook文件语法正确 - 验证项目核心功能可以在不导入torch的情况下正常工作 Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
16
build.bat
16
build.bat
@@ -43,12 +43,16 @@ if exist dist rmdir /s /q dist
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echo.
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echo 4/5. Building executable...
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echo NOTE: Using custom hooks to exclude heavy ML libraries that cause Python 3.13 issues
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echo These will be installed dynamically at runtime if needed
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python -m PyInstaller ^
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--noconfirm ^
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--name "CutThenThink" ^
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--windowed ^
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--onefile ^
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--add-data "src:src" ^
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--runtime-hook=pyi_hooks/pyi_rth_ignore_torch.py ^
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--additional-hooks-dir=pyi_hooks ^
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--hidden-import=PyQt6.QtCore ^
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--hidden-import=PyQt6.QtGui ^
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--hidden-import=PyQt6.QtWidgets ^
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@@ -67,6 +71,18 @@ python -m PyInstaller ^
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--hidden-import=yaml ^
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--hidden-import=requests ^
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--collect-all pyqt6 ^
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--exclude-module=torch ^
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--exclude-module=transformers ^
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--exclude-module=tensorflow ^
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--exclude-module=onnx ^
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--exclude-module=onnxruntime ^
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--exclude-module=sentencepiece ^
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--exclude-module=tokenizers ^
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--exclude-module=diffusers ^
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--exclude-module=accelerate ^
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--exclude-module=datasets ^
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--exclude-module=huggingface_hub ^
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--exclude-module=safetensors ^
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src/main.py
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if errorlevel 1 (
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29
build.sh
29
build.sh
@@ -44,15 +44,44 @@ fi
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echo ""
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echo "4/4. 开始打包..."
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echo "NOTE: 使用自定义 hooks 排除与 Python 3.13 不兼容的 ML 库"
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$PYTHON -m PyInstaller \
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--name "CutThenThink" \
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--windowed \
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--onefile \
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--add-data "src:src" \
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--runtime-hook=pyi_hooks/pyi_rth_ignore_torch.py \
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--additional-hooks-dir=pyi_hooks \
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--hidden-import=PyQt6.QtCore \
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--hidden-import=PyQt6.QtGui \
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--hidden-import=PyQt6.QtWidgets \
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--hidden-import=sqlalchemy \
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--hidden-import=sqlalchemy.orm \
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--hidden-import=PIL \
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--hidden-import=PIL.Image \
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--hidden-import=PIL.ImageEnhance \
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--hidden-import=PIL.ImageFilter \
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--hidden-import=numpy \
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--hidden-import=pyperclip \
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--hidden-import=tkinter \
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--hidden-import=tkinter.ttk \
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--hidden-import=tkinter.scrolledtext \
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--hidden-import=tkinter.messagebox \
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--hidden-import=yaml \
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--hidden-import=requests \
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--collect-all pyqt6 \
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--exclude-module=torch \
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--exclude-module=transformers \
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--exclude-module=tensorflow \
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--exclude-module=onnx \
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--exclude-module=onnxruntime \
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--exclude-module=sentencepiece \
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--exclude-module=tokenizers \
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--exclude-module=diffusers \
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--exclude-module=accelerate \
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--exclude-module=datasets \
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--exclude-module=huggingface_hub \
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--exclude-module=safetensors \
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src/main.py
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echo ""
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7
pyi_hooks/__init__.py
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7
pyi_hooks/__init__.py
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@@ -0,0 +1,7 @@
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"""
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PyInstaller hooks for CutThenThink
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This directory contains custom PyInstaller hooks to handle:
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- Excluding heavy ML libraries (torch, transformers, etc.)
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- Runtime-only dependencies like PaddleOCR
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"""
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36
pyi_hooks/hook-exclude-ml.py
Normal file
36
pyi_hooks/hook-exclude-ml.py
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@@ -0,0 +1,36 @@
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"""
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PyInstaller hook to exclude ML libraries during build
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This prevents PyInstaller from attempting to analyze and bundle
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heavy ML libraries that are incompatible with Python 3.13 or
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cause build crashes.
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These libraries will be installed at runtime if needed.
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"""
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# Collect any hidden imports (empty for this hook)
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hiddenimports = []
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# Exclude all heavy ML dependencies
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excludedimports = [
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'torch',
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'torch.nn',
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'torch.utils',
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'torchvision',
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'transformers',
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'tensorflow',
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'tensorflow.keras',
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'onnx',
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'onnxruntime',
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'sentencepiece',
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'tokenizers',
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'diffusers',
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'accelerate',
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'datasets',
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'huggingface_hub',
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'safetensors',
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'optimum',
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'coloredlogs',
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'docutils',
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'tqdm',
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]
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29
pyi_hooks/hook-paddleocr.py
Normal file
29
pyi_hooks/hook-paddleocr.py
Normal file
@@ -0,0 +1,29 @@
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"""
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PyInstaller hook for PaddleOCR
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Prevents PyInstaller from trying to bundle PaddleOCR and its dependencies.
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These will be installed dynamically at runtime.
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"""
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from PyInstaller.utils.hooks import is_module_satisfies
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# Tell PyInstaller to NOT collect these modules
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# They will be installed at runtime via ensure_paddleocr()
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hiddenimports = []
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# Explicitly exclude heavy ML dependencies
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excludedimports = [
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'torch',
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'transformers',
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'tensorflow',
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'onnx',
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'onnxruntime',
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'sentencepiece',
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'tokenizers',
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'diffusers',
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'accelerate',
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'datasets',
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'huggingface_hub',
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'safetensors',
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]
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47
pyi_hooks/pyi_rth_ignore_torch.py
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47
pyi_hooks/pyi_rth_ignore_torch.py
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@@ -0,0 +1,47 @@
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"""
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PyInstaller runtime hook to prevent torch import during analysis
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This hook runs before PyInstaller's module analysis phase.
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It blocks problematic modules from being imported during the build process.
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"""
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import sys
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# List of modules to block during PyInstaller analysis
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BLOCKED_MODULES = [
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'torch',
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'transformers',
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'tensorflow',
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'onnx',
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'onnxruntime',
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'sentencepiece',
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'tokenizers',
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'diffusers',
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'accelerate',
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'datasets',
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'huggingface_hub',
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'safetensors',
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]
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# Override the import mechanism to block these modules
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class BlockModuleImport:
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"""Meta path importer to block specific modules during PyInstaller build"""
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def find_module(self, fullname, path=None):
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if fullname in BLOCKED_MODULES or any(
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fullname.startswith(m + '.') for m in BLOCKED_MODULES
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):
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# Return self to handle the import (will raise ImportError)
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return self
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return None
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def load_module(self, fullname):
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raise ImportError(
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f"Module '{fullname}' is excluded from PyInstaller build. "
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f"It will be installed at runtime if needed."
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)
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# Install the blocker at the start of PyInstaller analysis
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if '_MEIPASS' not in sys.__dict__:
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# Only during build time (not when running the frozen app)
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sys.meta_path.insert(0, BlockModuleImport())
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