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Adds two new C++-only build variants without Python bindings: - Standard no-python build (43 modular libraries, 320 MB) - Monolithic no-python build (single libusd_ms.so, 417 MB) These builds are ideal for: - Pure C++ applications without Python dependencies - Embedded systems with limited resources - Server-side processing deployments - Production environments requiring minimal footprint New scripts: - setup_openusd_nopython.sh - Build standard C++-only variant - setup_openusd_nopython_monolithic.sh - Build monolithic C++-only variant - setup_env_nopython.sh - Environment setup (auto-generated) - setup_env_nopython_monolithic.sh - Environment setup (auto-generated) Documentation: - Updated aousd/README.md with all four build variants - Added README_BUILD_COMPARISON.md for detailed comparison All four OpenUSD build variants now available: 1. Standard (with Python, 45+ libs, with tools) 2. Monolithic (with Python, 1 lib, with tools) 3. No-Python Standard (C++-only, 43 libs, library-only) 4. No-Python Monolithic (C++-only, 1 lib, library-only) 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
239 lines
6.6 KiB
Markdown
239 lines
6.6 KiB
Markdown
# OpenUSD Build Variants Comparison
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This document helps you choose the right OpenUSD build variant for your use case.
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## Quick Decision Guide
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```
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Do you need Python API?
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│
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├─ YES → Do you need many .so files or single library?
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│ ├─ Single library → Use MONOLITHIC build
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│ └─ Multiple libraries → Use STANDARD build
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│
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└─ NO → Use NO-PYTHON build
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```
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## Detailed Comparison Table
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| Feature | Standard | Monolithic | No-Python |
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|---------|----------|------------|-----------|
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| **Python Bindings** | ✅ Yes | ✅ Yes | ❌ No |
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| **Library Structure** | Multiple .so files (45+) | Single libusd_ms.so | Multiple .so files |
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| **Build Time** | ~15-30 min | ~15-30 min | ~10-20 min (fastest) |
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| **Binary Size** | Largest | Medium | Smallest |
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| **Link Time** | Slow | Fast | Medium |
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| **Runtime Dependencies** | Python 3.11 + libs | Python 3.11 + libs | C++ stdlib only |
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| **Installation Dir** | `dist/` | `dist_monolithic/` | `dist_nopython/` |
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| **Best For** | Development & scripting | Production apps with Python | C++ apps, embedded systems |
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## Use Cases
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### Standard Build (`setup_openusd.sh`)
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**Best for:**
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- Development and prototyping
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- Python scripting and automation
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- Maximum compatibility with OpenUSD ecosystem
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- Applications that need to selectively link USD modules
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**Example scenarios:**
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```bash
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# Python scripting for USD file manipulation
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python process_usd.py --input scene.usd --output modified.usd
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# Pipeline tools with Python bindings
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from pxr import Usd, UsdGeom
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stage = Usd.Stage.Open("model.usd")
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```
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### Monolithic Build (`setup_openusd_monolithic.sh`)
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**Best for:**
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- Production applications with Python API
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- Faster linking during development
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- Simplified deployment (fewer .so files to manage)
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- Applications that use most USD modules
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**Example scenarios:**
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```bash
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# Production pipeline tool with embedded Python
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./my_app --python-script process.py --input scene.usd
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# DCC plugins with Python support
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# (Maya, Blender plugins that use both C++ and Python USD)
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```
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**Advantages over Standard:**
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- Single `libusd_ms.so` instead of 45+ separate .so files
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- Faster link times (link once vs. many libraries)
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- Easier to distribute (fewer files to package)
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- Reduced startup overhead (load one library vs. many)
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### No-Python Build (`setup_openusd_nopython.sh`)
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**Best for:**
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- Pure C++ applications
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- Embedded systems with limited resources
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- Server-side processing without Python
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- Minimal deployment footprint
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- CI/CD environments where Python is not needed
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**Example scenarios:**
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```cpp
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// Pure C++ application for USD processing
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#include <pxr/usd/usd/stage.h>
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#include <pxr/usd/usdGeom/mesh.h>
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int main() {
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auto stage = pxr::UsdStage::Open("model.usd");
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// Process USD data in C++
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return 0;
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}
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```
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**Advantages:**
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- No Python runtime required
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- Smaller binary size (no Python interpreter)
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- Faster build times (no Python bindings to compile)
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- Lower memory footprint
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- Simplified deployment (no Python virtual environment)
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## Build Time & Size Estimates
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Based on typical Linux x86_64 system:
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| Build Type | Build Time | Install Size | Runtime Deps |
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|------------|------------|--------------|--------------|
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| Standard | 20-25 min | ~500 MB | Python 3.11 + venv (~200 MB) |
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| Monolithic | 20-25 min | ~450 MB | Python 3.11 + venv (~200 MB) |
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| No-Python | 15-18 min | ~300 MB | None (system libs only) |
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*Note: Times are approximate and depend on CPU cores and compiler optimization level.*
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## Command-Line Tools Comparison
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All three builds include the same USD command-line tools:
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| Tool | Standard | Monolithic | No-Python |
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|------|----------|------------|-----------|
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| `usdcat` | ✅ | ✅ | ✅ |
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| `usddiff` | ✅ | ✅ | ✅ |
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| `usdtree` | ✅ | ✅ | ✅ |
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| `usdchecker` | ✅ | ✅ | ✅ |
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| `usdzip` | ✅ | ✅ | ✅ |
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| Python API | ✅ | ✅ | ❌ |
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## C++ Development Considerations
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### Linking Your Application
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**Standard or No-Python build:**
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```cmake
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# CMakeLists.txt
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find_package(pxr REQUIRED)
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add_executable(myapp main.cpp)
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target_link_libraries(myapp
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usd
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usdGeom
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sdf
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# ... other USD modules as needed
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)
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```
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**Monolithic build:**
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```cmake
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# CMakeLists.txt
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find_package(pxr REQUIRED)
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add_executable(myapp main.cpp)
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target_link_libraries(myapp
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usd_ms # Single monolithic library
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)
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```
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### When to Choose Each for C++ Development
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**Standard/No-Python:**
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- Fine-grained control over linked modules
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- Smaller final binary if you only use a few USD modules
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- Better for libraries that expose USD as optional dependency
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**Monolithic:**
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- Simplest linking (just one library)
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- Better if you use many USD modules
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- Faster link times during development iteration
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## Migration Between Builds
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You can have all three builds installed simultaneously. They install to different directories and don't conflict:
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```bash
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# Install all three
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./setup_openusd.sh # → dist/
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./setup_openusd_monolithic.sh # → dist_monolithic/
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./setup_openusd_nopython.sh # → dist_nopython/
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# Switch between them by sourcing different env scripts
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source setup_env.sh # Use standard build
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source setup_env_monolithic.sh # Use monolithic build
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source setup_env_nopython.sh # Use no-python build
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```
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## Performance Considerations
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### Startup Time
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- **Monolithic**: Fastest (load one .so)
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- **No-Python**: Fast (no Python interpreter startup)
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- **Standard**: Slower (load many .so files)
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### Link Time (Development)
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- **Monolithic**: Fastest (link one library)
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- **No-Python**: Medium
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- **Standard**: Slowest (link many libraries)
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### Runtime Performance
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All three have **identical runtime performance** for C++ code. The Python builds have additional overhead only when using Python features.
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## Recommendations
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### For TinyUSDZ Comparison Testing
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**Use Standard or No-Python build** - Most compatible with TinyUSDZ's C++ focus.
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### For Pipeline Development
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**Use Standard build** - Python scripting is essential for pipelines.
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### For Production Deployment
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- **With Python needs**: Monolithic build
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- **C++ only**: No-Python build
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### For CI/CD Testing
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**Use No-Python build** - Fastest build time and minimal dependencies.
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### For Cross-Platform Development
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**Use Standard build** - Most widely tested configuration.
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## Building Multiple Variants
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You can build all three variants efficiently:
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```bash
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# Build all three in sequence (each takes 15-25 min)
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cd aousd
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# 1. Standard build (creates venv)
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./setup_openusd.sh
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# 2. Monolithic build (reuses venv)
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./setup_openusd_monolithic.sh
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# 3. No-Python build (no venv needed)
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./setup_openusd_nopython.sh
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# Total time: ~60-75 minutes
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# Total disk space: ~1.2 GB + ~200 MB for venv
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```
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The OpenUSD source repository is shared between all builds, so cloning happens only once.
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