<reponame>akiomik/pilgram
# Copyright 2019 <NAME>
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import numpy as np
from PIL import Image
import pytest

from pilgram import css
from pilgram import util
from pilgram.css.blending.tests.helpers import assert_alpha_support


def test_color():
    cb_array = np.array([
        [[0] * 3, [127] * 3],
        [[128] * 3, [255] * 3],
    ], dtype=np.uint8)
    cb = Image.fromarray(cb_array)
    cs = util.fill((2, 2), [0, 128, 255])
    color = css.blending.color(cb, cs)

    expected = [
        (0, 0, 0), (39, 148, 255),
        (41, 148, 255), (255, 255, 255),
    ]
    expected = [pytest.approx(c, abs=1) for c in expected]

    assert list(color.getdata()) == expected  # almost eq


def test_color_alpha_support(mocker):
    assert_alpha_support(css.blending.color)

# Copyright 2019 <NAME>
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import numpy as np
from PIL import Image
import pytest

from pilgram import css
from pilgram import util
from pilgram.css.blending.tests.helpers import assert_alpha_support


def test_color():
    cb_array = np.array([
        [[0] * 3, [127] * 3],
        [[128] * 3, [255] * 3],
    ], dtype=np.uint8)
    cb = Image.fromarray(cb_array)
    cs = util.fill((2, 2), [0, 128, 255])
    color = css.blending.color(cb, cs)

    expected = [
        (0, 0, 0), (39, 148, 255),
        (41, 148, 255), (255, 255, 255),
    ]
    expected = [pytest.approx(c, abs=1) for c in expected]

    assert list(color.getdata()) == expected  # almost eq


def test_color_alpha_support(mocker):
    assert_alpha_support(css.blending.color)
# Copyright 2019 <NAME> # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # #     http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # almost eq