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91 lines
4.7 KiB
Python
91 lines
4.7 KiB
Python
"""
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All or portions of this file Copyright (c) Amazon.com, Inc. or its affiliates or
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its licensors.
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For complete copyright and license terms please see the LICENSE at the root of this
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distribution (the "License"). All use of this software is governed by the License,
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or, if provided, by the license below or the license accompanying this file. Do not
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remove or modify any license notices. This file is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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"""
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import os
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import pytest
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import logging
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# Bail on the test if ly_test_tools doesn't exist.
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pytest.importorskip("ly_test_tools")
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import ly_test_tools.environment.file_system as file_system
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import automatedtesting_shared.hydra_test_utils as hydra
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logger = logging.getLogger(__name__)
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test_directory = os.path.join(os.path.dirname(__file__), "EditorScripts")
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@pytest.mark.parametrize('project', ['AutomatedTesting'])
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@pytest.mark.parametrize('level', ['tmp_level'])
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@pytest.mark.usefixtures("automatic_process_killer")
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@pytest.mark.parametrize("launcher_platform", ['windows_editor'])
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class TestGradientSampling(object):
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@pytest.fixture(autouse=True)
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def setup_teardown(self, request, workspace, project, level):
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def teardown():
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file_system.delete([os.path.join(workspace.paths.engine_root(), project, "Levels", level)], True, True)
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request.addfinalizer(teardown)
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file_system.delete([os.path.join(workspace.paths.engine_root(), project, "Levels", level)], True, True)
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@pytest.mark.test_case_id("C3526311")
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@pytest.mark.SUITE_periodic
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def test_GradientSampling_GradientReferencesAddRemoveSuccessfully(self, request, editor, level, launcher_platform):
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expected_lines = [
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"Entity has a Random Noise Gradient component",
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"Entity has a Gradient Transform Modifier component",
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"Entity has a Box Shape component",
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"Entity has a Dither Gradient Modifier component",
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"Gradient Generator is pinned to the Dither Gradient Modifier successfully",
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"Gradient Generator is cleared from the Dither Gradient Modifier successfully",
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"Entity has a Invert Gradient Modifier component",
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"Gradient Generator is pinned to the Invert Gradient Modifier successfully",
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"Gradient Generator is cleared from the Invert Gradient Modifier successfully",
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"Entity has a Levels Gradient Modifier component",
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"Gradient Generator is pinned to the Levels Gradient Modifier successfully",
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"Gradient Generator is cleared from the Levels Gradient Modifier successfully",
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"Entity has a Posterize Gradient Modifier component",
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"Gradient Generator is pinned to the Posterize Gradient Modifier successfully",
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"Gradient Generator is cleared from the Posterize Gradient Modifier successfully",
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"Entity has a Smooth-Step Gradient Modifier component",
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"Gradient Generator is pinned to the Smooth-Step Gradient Modifier successfully",
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"Gradient Generator is cleared from the Smooth-Step Gradient Modifier successfully",
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"Entity has a Threshold Gradient Modifier component",
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"Gradient Generator is pinned to the Threshold Gradient Modifier successfully",
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"Gradient Generator is cleared from the Threshold Gradient Modifier successfully",
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]
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unexpected_lines = [
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"Failed to pin Gradient Generator to the Dither Gradient Modifier",
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"Failed to clear Gradient Generator from the Dither Gradient Modifier",
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"Failed to pin Gradient Generator to the Invert Gradient Modifier",
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"Failed to clear Gradient Generator from the Invert Gradient Modifier",
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"Failed to pin Gradient Generator to the Levels Gradient Modifier",
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"Failed to clear Gradient Generator from the Levels Gradient Modifier",
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"Failed to pin Gradient Generator to the Posterize Gradient Modifier",
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"Failed to clear Gradient Generator from the Posterize Gradient Modifier",
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"Failed to pin Gradient Generator to the Smooth-Step Gradient Modifier",
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"Failed to clear Gradient Generator from the Smooth-Step Gradient Modifier",
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"Failed to pin Gradient Generator to the Threshold Gradient Modifier",
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"Failed to clear Gradient Generator from the Threshold Gradient Modifier",
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]
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hydra.launch_and_validate_results(
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request,
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test_directory,
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editor,
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"GradientSampling_GradientReferencesAddRemoveSuccessfully.py",
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expected_lines,
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unexpected_lines,
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cfg_args=[level]
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)
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