# fftloggin
Vectorized FFTLog in pure python
## Installation
```bash
# Install with uv
uv pip install fftloggin
# Or with pip
pip install fftloggin
```
## Development
### Setup
```bash
# Clone the repository
git clone https://github.com/yourusername/fftloggin.git
cd fftloggin
# Install dependencies
uv sync --all-extras --dev
```
### Running Tests
```bash
# Run standard tests (fast)
uv run pytest
# Run all tests excluding benchmarks
uv run pytest -m "not benchmark"
# Run with verbose output
uv run pytest -v
```
### Benchmark Tests
Benchmark tests compare the Python implementation against the original Fortran FFTLog code. These tests are optional and require a Fortran compiler.
#### Prerequisites
- Have `gfortran` installed on your PATH
#### Running Benchmarks
```bash
# Generate benchmark reference files
python tests/generate_benchmarks.py
# Run benchmark tests
uv run pytest --run-benchmarks
# Or run only benchmark tests
uv run pytest tests/test_benchmark.py --run-benchmarks -v
# Generate and run benchmarks in one command
uv run pytest --generate-benchmarks --run-benchmarks
```
#### Regenerating Benchmarks
If you need to regenerate the benchmark files:
```bash
# Remove old benchmarks
rm -rf tests/benchmarks/*.txt
# Generate fresh benchmarks
python tests/generate_benchmarks.py
```
### Linting
```bash
# Check code style
uv run ruff check .
# Format code
uv run ruff format .
```
## References
- Hamilton, A. J. S. "Uncorrelated modes of the non-linear power spectrum." Monthly Notices of the Royal Astronomical Society 312.2 (2000): 257-284. [[astro-ph/9905191]](https://arxiv.org/abs/astro-ph/9905191)
- Assassi, Valentin, Marko Simonović, and Matias Zaldarriaga. "Efficient Evaluation of Cosmological Angular Statistics." arXiv preprint arXiv:1705.05022 (2017). [[1705.05022]](https://arxiv.org/abs/1705.05022)
- Schöneberg, Nils, et al. "Beyond the traditional Line-of-Sight approach of cosmological angular statistics." Journal of Cosmology and Astroparticle Physics 2018.10 (2018): 047. [[1807.09540]](https://arxiv.org/abs/1807.09540)
- Fang, Xiao, et al. "Beyond Limber: Efficient computation of angular power spectra for galaxy clustering and weak lensing." Journal of Cosmology and Astroparticle Physics 2020.05 (2020): 010. [[1911.11947]](https://arxiv.org/abs/1911.11947)
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