Fix list literal spacing to use [ x, y ] style (#1044)

Enforce consistent space inside square brackets for all list literals
across source and test files.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-authored-by: Claude <noreply@anthropic.com>

facefusion/face_detector.py

@@ -381,11 +381,11 @@ def detect_with_yunet(vision_frame : VisionFrame, face_detector_size : str) -> T
 			face_scores.extend(face_scores_raw[keep_indices])
 			face_landmarks_5_raw = numpy.concatenate(
 			[
-				face_landmarks_5_raw[:, [0, 1]] * feature_stride + anchors,
-				face_landmarks_5_raw[:, [2, 3]] * feature_stride + anchors,
-				face_landmarks_5_raw[:, [4, 5]] * feature_stride + anchors,
-				face_landmarks_5_raw[:, [6, 7]] * feature_stride + anchors,
-				face_landmarks_5_raw[:, [8, 9]] * feature_stride + anchors
+				face_landmarks_5_raw[:, [ 0, 1 ]] * feature_stride + anchors,
+				face_landmarks_5_raw[:, [ 2, 3 ]] * feature_stride + anchors,
+				face_landmarks_5_raw[:, [ 4, 5 ]] * feature_stride + anchors,
+				face_landmarks_5_raw[:, [ 6, 7 ]] * feature_stride + anchors,
+				face_landmarks_5_raw[:, [ 8, 9 ]] * feature_stride + anchors
 			], axis = -1).reshape(-1, 5, 2)
 
 			for face_landmark_raw_5 in face_landmarks_5_raw[keep_indices]:

facefusion/face_helper.py

@@ -81,7 +81,7 @@ def warp_face_by_face_landmark_5(temp_vision_frame : VisionFrame, face_landmark_
 
 
 def warp_face_by_bounding_box(temp_vision_frame : VisionFrame, bounding_box : BoundingBox, crop_size : Size) -> Tuple[VisionFrame, Matrix]:
-	source_points = numpy.array([ [ bounding_box[0], bounding_box[1] ], [bounding_box[2], bounding_box[1] ], [ bounding_box[0], bounding_box[3] ] ]).astype(numpy.float32)
+	source_points = numpy.array([ [ bounding_box[0], bounding_box[1] ], [ bounding_box[2], bounding_box[1] ], [ bounding_box[0], bounding_box[3] ] ]).astype(numpy.float32)
 	target_points = numpy.array([ [ 0, 0 ], [ crop_size[0], 0 ], [ 0, crop_size[1] ] ]).astype(numpy.float32)
 	affine_matrix = cv2.getAffineTransform(source_points, target_points)
 	if bounding_box[2] - bounding_box[0] > crop_size[0] or bounding_box[3] - bounding_box[1] > crop_size[1]:
@@ -247,7 +247,7 @@ def get_nms_threshold(face_detector_model : FaceDetectorModel, face_detector_ang
 
 
 def merge_matrix(temp_matrices : List[Matrix]) -> Matrix:
-	matrix = numpy.vstack([temp_matrices[0], [0, 0, 1]])
+	matrix = numpy.vstack([ temp_matrices[0], [ 0, 0, 1 ] ])
 
 	for temp_matrix in temp_matrices[1:]:
 		temp_matrix = numpy.vstack([ temp_matrix, [ 0, 0, 1 ] ])

facefusion/ffmpeg_builder.py

@@ -48,7 +48,7 @@ def set_input(input_path : str) -> List[Command]:
 
 
 def set_input_fps(input_fps : Fps) -> List[Command]:
-	return [ '-r', str(input_fps)]
+	return [ '-r', str(input_fps) ]
 
 
 def set_output(output_path : str) -> List[Command]:

facefusion/installer.py

@@ -68,7 +68,7 @@ def run(program : ArgumentParser) -> None:
 	onnxruntime_name, onnxruntime_version = ONNXRUNTIME_SET.get(args.onnxruntime)
 	commands.append(onnxruntime_name + '==' + onnxruntime_version)
 
-	subprocess.call([shutil.which('pip'), 'uninstall', 'onnxruntime', onnxruntime_name, '-y', '-q' ])
+	subprocess.call([ shutil.which('pip'), 'uninstall', 'onnxruntime', onnxruntime_name, '-y', '-q' ])
 
 	subprocess.call(commands)
 

facefusion/normalizer.py

@@ -19,9 +19,9 @@ def normalize_space(spaces : Optional[List[int]]) -> Optional[Padding]:
 	if spaces and len(spaces) == 1:
 		return tuple([spaces[0]] * 4) #type:ignore[return-value]
 	if spaces and len(spaces) == 2:
-		return tuple([spaces[0], spaces[1], spaces[0], spaces[1]]) #type:ignore[return-value]
+		return tuple([ spaces[0], spaces[1], spaces[0], spaces[1] ]) #type:ignore[return-value]
 	if spaces and len(spaces) == 3:
-		return tuple([spaces[0], spaces[1], spaces[2], spaces[1]]) #type:ignore[return-value]
+		return tuple([ spaces[0], spaces[1], spaces[2], spaces[1] ]) #type:ignore[return-value]
 	if spaces and len(spaces) == 4:
 		return tuple(spaces) #type:ignore[return-value]
 	return None

facefusion/processors/modules/expression_restorer/core.py

@@ -192,12 +192,12 @@ def restrict_expression_areas(temp_expression : LivePortraitExpression, target_e
 	expression_restorer_areas = state_manager.get_item('expression_restorer_areas')
 
 	if 'upper-face' not in expression_restorer_areas:
-		target_expression[:, [1, 2, 6, 10, 11, 12, 13, 15, 16]] = temp_expression[:, [1, 2, 6, 10, 11, 12, 13, 15, 16]]
+		target_expression[:, [ 1, 2, 6, 10, 11, 12, 13, 15, 16 ]] = temp_expression[:, [ 1, 2, 6, 10, 11, 12, 13, 15, 16 ]]
 
 	if 'lower-face' not in expression_restorer_areas:
-		target_expression[:, [3, 7, 14, 17, 18, 19, 20]] = temp_expression[:, [3, 7, 14, 17, 18, 19, 20]]
+		target_expression[:, [ 3, 7, 14, 17, 18, 19, 20 ]] = temp_expression[:, [ 3, 7, 14, 17, 18, 19, 20 ]]
 
-	target_expression[:, [0, 4, 5, 8, 9]] = temp_expression[:, [0, 4, 5, 8, 9]]
+	target_expression[:, [ 0, 4, 5, 8, 9 ]] = temp_expression[:, [ 0, 4, 5, 8, 9 ]]
 	return target_expression
 
 

facefusion/uis/components/background_remover_options.py

@@ -81,7 +81,7 @@ def listen() -> None:
 
 	processors_checkbox_group = get_ui_component('processors_checkbox_group')
 	if processors_checkbox_group:
-		processors_checkbox_group.change(remote_update, inputs = processors_checkbox_group, outputs = [BACKGROUND_REMOVER_MODEL_DROPDOWN, BACKGROUND_REMOVER_COLOR_WRAPPER])
+		processors_checkbox_group.change(remote_update, inputs = processors_checkbox_group, outputs = [ BACKGROUND_REMOVER_MODEL_DROPDOWN, BACKGROUND_REMOVER_COLOR_WRAPPER ])
 
 
 def remote_update(processors : List[str]) -> Tuple[gradio.Dropdown, gradio.Group]:

facefusion/uis/components/output_options.py

@@ -132,7 +132,7 @@ def listen() -> None:
 		'target_video'
 	]):
 		for method in [ 'change', 'clear' ]:
-			getattr(ui_component, method)(remote_update, outputs = [OUTPUT_IMAGE_QUALITY_SLIDER, OUTPUT_IMAGE_SCALE_SLIDER, OUTPUT_AUDIO_ENCODER_DROPDOWN, OUTPUT_AUDIO_QUALITY_SLIDER, OUTPUT_AUDIO_VOLUME_SLIDER, OUTPUT_VIDEO_ENCODER_DROPDOWN, OUTPUT_VIDEO_PRESET_DROPDOWN, OUTPUT_VIDEO_QUALITY_SLIDER, OUTPUT_VIDEO_SCALE_SLIDER, OUTPUT_VIDEO_FPS_SLIDER])
+			getattr(ui_component, method)(remote_update, outputs = [ OUTPUT_IMAGE_QUALITY_SLIDER, OUTPUT_IMAGE_SCALE_SLIDER, OUTPUT_AUDIO_ENCODER_DROPDOWN, OUTPUT_AUDIO_QUALITY_SLIDER, OUTPUT_AUDIO_VOLUME_SLIDER, OUTPUT_VIDEO_ENCODER_DROPDOWN, OUTPUT_VIDEO_PRESET_DROPDOWN, OUTPUT_VIDEO_QUALITY_SLIDER, OUTPUT_VIDEO_SCALE_SLIDER, OUTPUT_VIDEO_FPS_SLIDER ])
 
 
 def remote_update() -> Tuple[gradio.Slider, gradio.Slider, gradio.Dropdown, gradio.Slider, gradio.Slider, gradio.Dropdown, gradio.Dropdown, gradio.Slider, gradio.Slider, gradio.Slider]:

tests/test_cli_background_remover.py

@@ -15,7 +15,7 @@ def before_all() -> None:
 		'https://github.com/facefusion/facefusion-assets/releases/download/examples-3.0.0/source.jpg',
 		'https://github.com/facefusion/facefusion-assets/releases/download/examples-3.0.0/target-240p.mp4'
 	])
-	subprocess.run(['ffmpeg', '-i', get_test_example_file('target-240p.mp4'), '-vframes', '1', get_test_example_file('target-240p.jpg')])
+	subprocess.run([ 'ffmpeg', '-i', get_test_example_file('target-240p.mp4'), '-vframes', '1', get_test_example_file('target-240p.jpg') ])
 
 
 @pytest.fixture(scope = 'function', autouse = True)

tests/test_common_helper.py

@@ -20,8 +20,8 @@ def test_create_float_range() -> None:
 
 
 def test_calc_int_step() -> None:
-	assert calculate_int_step([0, 1]) == 1
+	assert calculate_int_step([ 0, 1 ]) == 1
 
 
 def test_calc_float_step() -> None:
-	assert calculate_float_step([0.1, 0.2]) == 0.1
+	assert calculate_float_step([ 0.1, 0.2 ]) == 0.1

tests/test_sanitizer.py

@@ -3,6 +3,6 @@ from facefusion.sanitizer import sanitize_int_range
 
 def test_sanitize_int_range() -> None:
 	assert sanitize_int_range(0, [ 0, 1, 2 ]) == 0
-	assert sanitize_int_range(2, [0, 1, 2]) == 2
+	assert sanitize_int_range(2, [ 0, 1, 2 ]) == 2
 	assert sanitize_int_range(-1, [ 0, 1 ]) == 0
 	assert sanitize_int_range(3, [ 0, 1 ]) == 0