#!/usr/bin/env python
# Copyright (c) 2015, Ecole Polytechnique Federale de Lausanne, Blue Brain Project
# All rights reserved.
#
# This file is part of NeuroM <https://github.com/BlueBrain/NeuroM>
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#     1. Redistributions of source code must retain the above copyright
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"""Compatibility between NL and H5 files."""
# pylint: disable=protected-access
from pathlib import Path

import numpy as np

import neurom as nm
from neurom.features import neurite as nf
from neurom.features import morphology as mf

PACKAGE_DIR = Path(__file__).resolve().parent.parent


def main():
    m_h5 = nm.load_morphology(Path(PACKAGE_DIR, "tests/data/h5/v1/bio_neuron-001.h5"))
    m_asc = nm.load_morphology(Path(PACKAGE_DIR, "tests/data/neurolucida/bio_neuron-001.asc"))

    print("h5 number of sections:", nm.get("number_of_sections", m_h5))
    print("nl number of sections:", nm.get("number_of_sections", m_asc))
    print("h5 number of segments:", nm.get("number_of_segments", m_h5))
    print("nl number of segments:", nm.get("number_of_segments", m_asc))
    print("h5 total neurite length:", np.sum(nm.get("section_lengths", m_h5)))
    print("nl total neurite length:", np.sum(nm.get("section_lengths", m_asc)))
    print("h5 principal direction extents:", nm.get("principal_direction_extents", m_h5))
    print("nl principal direction extents:", nm.get("principal_direction_extents", m_asc))

    print("\nNumber of neurites:")
    for nt in iter(nm.NeuriteType):
        print(
            nt,
            mf.number_of_neurites(m_h5, neurite_type=nt),
            mf.number_of_neurites(m_asc, neurite_type=nt),
        )

    print("\nNumber of segments:")
    for nt in iter(nm.NeuriteType):
        print(nt, nf.number_of_segments(m_h5.neurites[0]), nf.number_of_segments(m_asc.neurites[0]))


if __name__ == "__main__":
    main()
