fast_pyworld3
A high-performance Python implementation of the World3 model from "Limits to Growth: The 30-Year Update" (2004). Resolves circular dependency issues for faster simulation.
Installation
pip install fast_pyworld3
Usage
from fast_pyworld3 import World3
world3 = World3()
world3.run()
results = world3.get_results()
from fast_pyworld3.core import World3, World3Config
config = World3Config(year_max=2050, dt=0.25)
world3 = World3(config)
world3.init_constants(nri=1.5e12) # custom
world3.init_variables()
world3.set_table_functions()
world3.set_delay_functions()
world3.run()
Simulation Sectors
- Population
- Capital (Industrial/Service)
- Agriculture
- Pollution (Persistent)
- Resources (Nonrenewable)
Benchmark
20x faster than PyWorld3-03 with identical results.
| Metric | PyWorld3-03 | fast_pyworld3 |
|---|---|---|
| Mean | 1903.91 ms | 94.24 ms |
| Speedup | - | 20.20x |
Validation
| Variable | Correlation | Mean Rel Err | Max Rel Err |
|---|---|---|---|
| Total Population | 1.000000 | 0.0000% | 0.0000% |
| Industrial Output | 1.000000 | 0.0000% | 0.0000% |
| Food Per Capita | 1.000000 | 0.0000% | 0.0000% |
| Pollution Index | 1.000000 | 0.0000% | 0.0000% |
| Natural Resources | 1.000000 | 0.0000% | 0.0000% |
Time Step Scaling
| dt | Steps | PyWorld3-03 | fast_pyworld3 | Speedup |
|---|---|---|---|---|
| 1.000 | 201 | 978.25 ms | 50.67 ms | 19.31x |
| 0.500 | 401 | 1915.30 ms | 92.16 ms | 20.78x |
| 0.250 | 801 | 3840.44 ms | 190.58 ms | 20.15x |
| 0.125 | 1601 | 7794.03 ms | 381.27 ms | 20.44x |
Requirements
- Python >= 3.13
- numpy, scipy, matplotlib
License
CeCILL v2.1
1 maintainer
Metadata
1 maintainer
Release files for fast_pyworld3 1.0.0
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