import numpy as np

import pytest
import ananse.distributions


def test_distributions():
    d = ananse.distributions.Distributions()
    func_list = d.get()
    assert isinstance(func_list, list)

    for func in func_list:
        d.set(func)


scores = np.array([0, 1, 2])


def test_scale_dist():
    s = ananse.distributions.scale_dist(scores)
    assert np.array_equal(s, np.array([0, 0.5, 1]))


def test_log_scale_dist():
    s = ananse.distributions.log_scale_dist(scores)
    assert np.allclose(s, np.array([0.0, 0.63092975, 1.0]))


def test_replace_infs():
    score_w_infs = [-np.inf, 0, 1, np.inf]
    s = ananse.distributions.replace_infs(score_w_infs)
    assert np.array_equal(s, np.array([0, 0, 1, 1]))


def test_scipy_dist():
    s = ananse.distributions.scipy_dist(scores, **{"dist": "loglaplace"})
    assert np.allclose(s, np.array([4.72219713e-05, 2.05410078e-01, 6.83221921e-01]))

    s = ananse.distributions.scipy_dist(scores, **{"dist": "lognorm"})
    assert np.allclose(s, np.array([0, 8.0793556e12, 2.8352896e-02]))

    with pytest.raises(ValueError):
        ananse.distributions.scipy_dist(scores, **{"dist": "wrongname"})


def test_peak_rank_dist():
    s = ananse.distributions.peak_rank_dist(scores)
    assert np.allclose(s, np.array([0, 0.4077607, 0.4077607]))


def test_peak_rank_file_dist():
    s = ananse.distributions.peak_rank_file_dist(scores, **{"file": "peak_rank.txt"})
    assert len(s) == 3

    s = ananse.distributions.peak_rank_file_dist(
        scores, **{"file": "peak_rank_hg38_h3k27ac.txt"}
    )
    assert len(s) == 3

    # too many peaks
    with pytest.raises(ValueError):
        ananse.distributions.peak_rank_file_dist(
            range(108_087), **{"file": "peak_rank.txt"}
        )

import numpy as np

import pytest
import ananse.distributions


def test_distributions():
    d = ananse.distributions.Distributions()
    func_list = d.get()
    assert isinstance(func_list, list)

    for func in func_list:
        d.set(func)


scores = np.array([0, 1, 2])


def test_scale_dist():
    s = ananse.distributions.scale_dist(scores)
    assert np.array_equal(s, np.array([0, 0.5, 1]))


def test_log_scale_dist():
    s = ananse.distributions.log_scale_dist(scores)
    assert np.allclose(s, np.array([0.0, 0.63092975, 1.0]))


def test_replace_infs():
    score_w_infs = [-np.inf, 0, 1, np.inf]
    s = ananse.distributions.replace_infs(score_w_infs)
    assert np.array_equal(s, np.array([0, 0, 1, 1]))


def test_scipy_dist():
    s = ananse.distributions.scipy_dist(scores, **{"dist": "loglaplace"})
    assert np.allclose(s, np.array([4.72219713e-05, 2.05410078e-01, 6.83221921e-01]))

    s = ananse.distributions.scipy_dist(scores, **{"dist": "lognorm"})
    assert np.allclose(s, np.array([0, 8.0793556e12, 2.8352896e-02]))

    with pytest.raises(ValueError):
        ananse.distributions.scipy_dist(scores, **{"dist": "wrongname"})


def test_peak_rank_dist():
    s = ananse.distributions.peak_rank_dist(scores)
    assert np.allclose(s, np.array([0, 0.4077607, 0.4077607]))


def test_peak_rank_file_dist():
    s = ananse.distributions.peak_rank_file_dist(scores, **{"file": "peak_rank.txt"})
    assert len(s) == 3

    s = ananse.distributions.peak_rank_file_dist(
        scores, **{"file": "peak_rank_hg38_h3k27ac.txt"}
    )
    assert len(s) == 3

    # too many peaks
    with pytest.raises(ValueError):
        ananse.distributions.peak_rank_file_dist(
            range(108_087), **{"file": "peak_rank.txt"}
        )

# too many peaks