"""
Define the unit tests for the :mod:`colour.models.rgb.transfer_functions.\
panasonic_v_log` module.
"""

import numpy as np

from colour.constants import TOLERANCE_ABSOLUTE_TESTS
from colour.models.rgb.transfer_functions import log_decoding_VLog, log_encoding_VLog
from colour.utilities import domain_range_scale, ignore_numpy_errors

__author__ = "Colour Developers"
__copyright__ = "Copyright 2013 Colour Developers"
__license__ = "BSD-3-Clause - https://opensource.org/licenses/BSD-3-Clause"
__maintainer__ = "Colour Developers"
__email__ = "colour-developers@colour-science.org"
__status__ = "Production"

__all__ = [
    "TestLogEncoding_VLog",
    "TestLogDecoding_VLog",
]


class TestLogEncoding_VLog:
    """
    Define :func:`colour.models.rgb.transfer_functions.panasonic_v_log.\
log_encoding_VLog` definition unit tests methods.
    """

    def test_log_encoding_VLog(self) -> None:
        """
        Test :func:`colour.models.rgb.transfer_functions.panasonic_v_log.\
log_encoding_VLog` definition.
        """

        np.testing.assert_allclose(
            log_encoding_VLog(0.0), 0.125, atol=TOLERANCE_ABSOLUTE_TESTS
        )

        np.testing.assert_allclose(
            log_encoding_VLog(0.18),
            0.423311448760136,
            atol=TOLERANCE_ABSOLUTE_TESTS,
        )

        np.testing.assert_allclose(
            log_encoding_VLog(0.18, 12),
            0.423311448760136,
            atol=TOLERANCE_ABSOLUTE_TESTS,
        )

        np.testing.assert_allclose(
            log_encoding_VLog(0.18, 10, False),
            0.421287228403675,
            atol=TOLERANCE_ABSOLUTE_TESTS,
        )

        np.testing.assert_allclose(
            log_encoding_VLog(0.18, 10, False, False),
            0.409009628526078,
            atol=TOLERANCE_ABSOLUTE_TESTS,
        )

        np.testing.assert_allclose(
            log_encoding_VLog(1.0),
            0.599117700158146,
            atol=TOLERANCE_ABSOLUTE_TESTS,
        )

    def test_n_dimensional_log_encoding_VLog(self) -> None:
        """
        Test :func:`colour.models.rgb.transfer_functions.panasonic_v_log.\
log_encoding_VLog` definition n-dimensional arrays support.
        """

        L_in = 0.18
        V_out = log_encoding_VLog(L_in)

        L_in = np.tile(L_in, 6)
        V_out = np.tile(V_out, 6)
        np.testing.assert_allclose(
            log_encoding_VLog(L_in), V_out, atol=TOLERANCE_ABSOLUTE_TESTS
        )

        L_in = np.reshape(L_in, (2, 3))
        V_out = np.reshape(V_out, (2, 3))
        np.testing.assert_allclose(
            log_encoding_VLog(L_in), V_out, atol=TOLERANCE_ABSOLUTE_TESTS
        )

        L_in = np.reshape(L_in, (2, 3, 1))
        V_out = np.reshape(V_out, (2, 3, 1))
        np.testing.assert_allclose(
            log_encoding_VLog(L_in), V_out, atol=TOLERANCE_ABSOLUTE_TESTS
        )

    def test_domain_range_scale_log_encoding_VLog(self) -> None:
        """
        Test :func:`colour.models.rgb.transfer_functions.panasonic_v_log.\
log_encoding_VLog` definition domain and range scale support.
        """

        L_in = 0.18
        V_out = log_encoding_VLog(L_in)

        d_r = (("reference", 1), ("1", 1), ("100", 100))
        for scale, factor in d_r:
            with domain_range_scale(scale):
                np.testing.assert_allclose(
                    log_encoding_VLog(L_in * factor),
                    V_out * factor,
                    atol=TOLERANCE_ABSOLUTE_TESTS,
                )

    @ignore_numpy_errors
    def test_nan_log_encoding_VLog(self) -> None:
        """
        Test :func:`colour.models.rgb.transfer_functions.panasonic_v_log.\
log_encoding_VLog` definition nan support.
        """

        log_encoding_VLog(np.array([-1.0, 0.0, 1.0, -np.inf, np.inf, np.nan]))


class TestLogDecoding_VLog:
    """
    Define :func:`colour.models.rgb.transfer_functions.panasonic_v_log.\
log_decoding_VLog` definition unit tests methods.
    """

    def test_log_decoding_VLog(self) -> None:
        """
        Test :func:`colour.models.rgb.transfer_functions.panasonic_v_log.\
log_decoding_VLog` definition.
        """

        np.testing.assert_allclose(
            log_decoding_VLog(0.125), 0.0, atol=TOLERANCE_ABSOLUTE_TESTS
        )

        np.testing.assert_allclose(
            log_decoding_VLog(0.423311448760136),
            0.18,
            atol=TOLERANCE_ABSOLUTE_TESTS,
        )

        np.testing.assert_allclose(
            log_decoding_VLog(0.423311448760136, 12),
            0.18,
            atol=TOLERANCE_ABSOLUTE_TESTS,
        )

        np.testing.assert_allclose(
            log_decoding_VLog(0.421287228403675, 10, False),
            0.18,
            atol=TOLERANCE_ABSOLUTE_TESTS,
        )

        np.testing.assert_allclose(
            log_decoding_VLog(0.409009628526078, 10, False, False),
            0.18,
            atol=TOLERANCE_ABSOLUTE_TESTS,
        )

        np.testing.assert_allclose(
            log_decoding_VLog(0.599117700158146),
            1.0,
            atol=TOLERANCE_ABSOLUTE_TESTS,
        )

    def test_n_dimensional_log_decoding_VLog(self) -> None:
        """
        Test :func:`colour.models.rgb.transfer_functions.panasonic_v_log.\
log_decoding_VLog` definition n-dimensional arrays support.
        """

        V_out = 0.423311448760136
        L_in = log_decoding_VLog(V_out)

        V_out = np.tile(V_out, 6)
        L_in = np.tile(L_in, 6)
        np.testing.assert_allclose(
            log_decoding_VLog(V_out), L_in, atol=TOLERANCE_ABSOLUTE_TESTS
        )

        V_out = np.reshape(V_out, (2, 3))
        L_in = np.reshape(L_in, (2, 3))
        np.testing.assert_allclose(
            log_decoding_VLog(V_out), L_in, atol=TOLERANCE_ABSOLUTE_TESTS
        )

        V_out = np.reshape(V_out, (2, 3, 1))
        L_in = np.reshape(L_in, (2, 3, 1))
        np.testing.assert_allclose(
            log_decoding_VLog(V_out), L_in, atol=TOLERANCE_ABSOLUTE_TESTS
        )

    def test_domain_range_scale_log_decoding_VLog(self) -> None:
        """
        Test :func:`colour.models.rgb.transfer_functions.panasonic_v_log.\
log_decoding_VLog` definition domain and range scale support.
        """

        V_out = 0.423311448760136
        L_in = log_decoding_VLog(V_out)

        d_r = (("reference", 1), ("1", 1), ("100", 100))
        for scale, factor in d_r:
            with domain_range_scale(scale):
                np.testing.assert_allclose(
                    log_decoding_VLog(V_out * factor),
                    L_in * factor,
                    atol=TOLERANCE_ABSOLUTE_TESTS,
                )

    @ignore_numpy_errors
    def test_nan_log_decoding_VLog(self) -> None:
        """
        Test :func:`colour.models.rgb.transfer_functions.panasonic_v_log.\
log_decoding_VLog` definition nan support.
        """

        log_decoding_VLog(np.array([-1.0, 0.0, 1.0, -np.inf, np.inf, np.nan]))
