Installation

HITEN requires Python 3.9 or higher. The recommended way to install HITEN is using pip.

Prerequisites

HITEN depends on several scientific Python packages:

• numpy (>= 1.23)

• scipy (>= 1.15)

• numba (>= 0.61)

• mpmath (>= 1.3)

• sympy (>= 1.14)

• h5py (>= 3.13)

• matplotlib (>= 3.10)

• tqdm (>= 4.67)

• pandas (>= 2.3.0)

Installation Methods

Stable Release

To install the latest stable release from PyPI:

pip install hiten

Troubleshooting

Common Issues

ImportError: No module named ‘hiten’

• Ensure HITEN is installed: pip list | grep hiten

• Check your Python path: python -c "import sys; print(sys.path)"

Numba compilation errors

• Update numba: pip install --upgrade numba

• Clear numba cache: numba --clear-cache

Memory issues with large computations

• Reduce problem size or use more efficient algorithms

• Consider using numba JIT compilation for better performance

Performance issues

• Ensure you’re using optimized BLAS/LAPACK libraries

• Consider using Intel MKL or OpenBLAS

Getting Help

If you encounter issues during installation:

1. Check the GitHub Issues

2. Create a new issue with:

   • Your operating system and Python version

   • Complete error message

   • Steps to reproduce the issue

Uninstallation

To uninstall HITEN:

pip uninstall hiten

This will remove HITEN and its dependencies (unless they’re used by other packages).