Delete tests

tests/test_cli.py

@@ -1,31 +0,0 @@
-import subprocess
-import pytest
-
-from DeepFakeAI import wording
-from DeepFakeAI.utilities import conditional_download
-
-
-@pytest.fixture(scope = 'module', autouse = True)
-def before_all() -> None:
-	conditional_download('.assets/examples',
-	[
-		'https://github.com/DeepFakeAI/DeepFakeAI-assets/releases/download/examples/source.jpg',
-		'https://github.com/DeepFakeAI/DeepFakeAI-assets/releases/download/examples/target-1080p.mp4'
-	])
-	subprocess.run([ 'ffmpeg', '-i', '.assets/examples/target-1080p.mp4', '-vframes', '1', '.assets/examples/target-1080p.jpg' ])
-
-
-def test_image_to_image() -> None:
-	commands = [ 'python', 'run.py', '-s', '.assets/examples/source.jpg', '-t', '.assets/examples/target-1080p.jpg', '-o', '.assets/examples' ]
-	run = subprocess.run(commands, stdout = subprocess.PIPE)
-
-	assert run.returncode == 0
-	assert wording.get('processing_image_succeed') in run.stdout.decode()
-
-
-def test_image_to_video() -> None:
-	commands = [ 'python', 'run.py', '-s', '.assets/examples/source.jpg', '-t', '.assets/examples/target-1080p.mp4', '-o', '.assets/examples', '--trim-frame-end', '10' ]
-	run = subprocess.run(commands, stdout = subprocess.PIPE)
-
-	assert run.returncode == 0
-	assert wording.get('processing_video_succeed') in run.stdout.decode()

tests/test_utilities.py

@@ -1,107 +0,0 @@
-import glob
-import subprocess
-import pytest
-
-import DeepFakeAI.globals
-from DeepFakeAI.utilities import conditional_download, detect_fps, extract_frames, create_temp, get_temp_directory_path, clear_temp
-
-
-@pytest.fixture(scope = 'module', autouse = True)
-def before_all() -> None:
-	DeepFakeAI.globals.temp_frame_quality = 100
-	DeepFakeAI.globals.trim_frame_start = None
-	DeepFakeAI.globals.trim_frame_end = None
-	DeepFakeAI.globals.temp_frame_format = 'png'
-	conditional_download('.assets/examples',
-	[
-		'https://github.com/DeepFakeAI/DeepFakeAI-assets/releases/download/examples/target-240p.mp4'
-	])
-	subprocess.run([ 'ffmpeg', '-i', '.assets/examples/target-240p.mp4', '-vf', 'fps=25', '.assets/examples/target-240p-25fps.mp4' ])
-	subprocess.run([ 'ffmpeg', '-i', '.assets/examples/target-240p.mp4', '-vf', 'fps=30', '.assets/examples/target-240p-30fps.mp4' ])
-	subprocess.run([ 'ffmpeg', '-i', '.assets/examples/target-240p.mp4', '-vf', 'fps=60', '.assets/examples/target-240p-60fps.mp4' ])
-
-
-@pytest.fixture(scope = 'function', autouse = True)
-def before_each() -> None:
-	DeepFakeAI.globals.trim_frame_start = None
-	DeepFakeAI.globals.trim_frame_end = None
-	DeepFakeAI.globals.temp_frame_quality = 90
-	DeepFakeAI.globals.temp_frame_format = 'jpg'
-
-
-def test_detect_fps() -> None:
-	assert detect_fps('.assets/examples/target-240p-25fps.mp4') == 25.0
-	assert detect_fps('.assets/examples/target-240p-30fps.mp4') == 30.0
-	assert detect_fps('.assets/examples/target-240p-60fps.mp4') == 60.0
-
-
-def test_extract_frames() -> None:
-	target_paths =\
-	[
-		'.assets/examples/target-240p-25fps.mp4',
-		'.assets/examples/target-240p-30fps.mp4',
-		'.assets/examples/target-240p-60fps.mp4'
-	]
-	for target_path in target_paths:
-		temp_directory_path = get_temp_directory_path(target_path)
-		create_temp(target_path)
-
-		assert extract_frames(target_path, 30.0) is True
-		assert len(glob.glob1(temp_directory_path, '*.jpg')) == 324
-
-		clear_temp(target_path)
-
-
-def test_extract_frames_with_trim_start() -> None:
-	DeepFakeAI.globals.trim_frame_start = 224
-	data_provider =\
-	[
-		('.assets/examples/target-240p-25fps.mp4', 55),
-		('.assets/examples/target-240p-30fps.mp4', 100),
-		('.assets/examples/target-240p-60fps.mp4', 212)
-	]
-	for target_path, frame_total in data_provider:
-		temp_directory_path = get_temp_directory_path(target_path)
-		create_temp(target_path)
-
-		assert extract_frames(target_path, 30.0) is True
-		assert len(glob.glob1(temp_directory_path, '*.jpg')) == frame_total
-
-		clear_temp(target_path)
-
-
-def test_extract_frames_with_trim_start_and_trim_end() -> None:
-	DeepFakeAI.globals.trim_frame_start = 124
-	DeepFakeAI.globals.trim_frame_end = 224
-	data_provider =\
-	[
-		('.assets/examples/target-240p-25fps.mp4', 120),
-		('.assets/examples/target-240p-30fps.mp4', 100),
-		('.assets/examples/target-240p-60fps.mp4', 50)
-	]
-	for target_path, frame_total in data_provider:
-		temp_directory_path = get_temp_directory_path(target_path)
-		create_temp(target_path)
-
-		assert extract_frames(target_path, 30.0) is True
-		assert len(glob.glob1(temp_directory_path, '*.jpg')) == frame_total
-
-		clear_temp(target_path)
-
-
-def test_extract_frames_with_trim_end() -> None:
-	DeepFakeAI.globals.trim_frame_end = 100
-	data_provider =\
-	[
-		('.assets/examples/target-240p-25fps.mp4', 120),
-		('.assets/examples/target-240p-30fps.mp4', 100),
-		('.assets/examples/target-240p-60fps.mp4', 50)
-	]
-	for target_path, frame_total in data_provider:
-		temp_directory_path = get_temp_directory_path(target_path)
-		create_temp(target_path)
-
-		assert extract_frames(target_path, 30.0) is True
-		assert len(glob.glob1(temp_directory_path, '*.jpg')) == frame_total
-
-		clear_temp(target_path)