nan
8aac4822c6
- Added `background_depth_distance` property to `ActiveJob` and `RunJob` classes to manage background depth settings. - Updated job execution to handle background depth distance, allowing for fixed negative displacement in depth calculations. - Introduced new functions in the worker module to apply background depth distance to depth frames and manage original background depth. - Enhanced tests to cover new functionality, ensuring correct behavior of background depth processing and reference depth extraction. - Refactored job submission to run in a separate thread, improving responsiveness during execution.
640 lines
20 KiB
Python
640 lines
20 KiB
Python
import importlib.util
|
|
import sys
|
|
import tempfile
|
|
import unittest
|
|
from pathlib import Path
|
|
from types import ModuleType, SimpleNamespace
|
|
from unittest.mock import patch
|
|
|
|
import numpy as np
|
|
|
|
|
|
PROJECT_ROOT = Path(__file__).resolve().parents[1]
|
|
|
|
|
|
def load_image_depth():
|
|
fake_bpy = ModuleType("bpy")
|
|
fake_bpy.props = SimpleNamespace(
|
|
BoolProperty=lambda **options: options,
|
|
EnumProperty=lambda **options: options,
|
|
FloatProperty=lambda **options: options,
|
|
IntProperty=lambda **options: options,
|
|
StringProperty=lambda **options: options,
|
|
)
|
|
fake_bpy.types = SimpleNamespace(Operator=object)
|
|
fake_bpy.path = SimpleNamespace(abspath=lambda path: path)
|
|
with patch.dict(sys.modules, {"bpy": fake_bpy}):
|
|
specification = importlib.util.spec_from_file_location(
|
|
"snapform_image_depth_test",
|
|
PROJECT_ROOT / "src" / "snapform" / "image_depth.py",
|
|
)
|
|
module = importlib.util.module_from_spec(specification)
|
|
specification.loader.exec_module(module)
|
|
return module
|
|
|
|
|
|
class ImageDepthTest(unittest.TestCase):
|
|
@classmethod
|
|
def setUpClass(cls):
|
|
cls.image_depth = load_image_depth()
|
|
|
|
def test_extracts_depth_and_uses_first_view(self):
|
|
with tempfile.TemporaryDirectory() as directory:
|
|
npz_path = Path(directory) / "results.npz"
|
|
np.savez_compressed(
|
|
npz_path,
|
|
depth=np.array(
|
|
(
|
|
((1.0, 2.0), (3.0, 4.0)),
|
|
((5.0, 6.0), (7.0, 8.0)),
|
|
),
|
|
dtype=np.float32,
|
|
),
|
|
)
|
|
|
|
depth = self.image_depth.extract_depth_array(npz_path)
|
|
|
|
np.testing.assert_array_equal(
|
|
depth,
|
|
np.array(((1.0, 2.0), (3.0, 4.0)), dtype=np.float32),
|
|
)
|
|
|
|
def test_extract_depth_arrays_returns_every_frame(self):
|
|
with tempfile.TemporaryDirectory() as directory:
|
|
npz_path = Path(directory) / "results.npz"
|
|
np.savez_compressed(
|
|
npz_path,
|
|
depth=np.arange(12, dtype=np.float32).reshape(3, 2, 2),
|
|
)
|
|
|
|
depth_frames = self.image_depth.extract_depth_arrays(npz_path)
|
|
|
|
self.assertEqual(len(depth_frames), 3)
|
|
np.testing.assert_array_equal(
|
|
depth_frames[1],
|
|
np.array(((4.0, 5.0), (6.0, 7.0)), dtype=np.float32),
|
|
)
|
|
|
|
def test_accepts_depths_key_with_single_channel(self):
|
|
with tempfile.TemporaryDirectory() as directory:
|
|
npz_path = Path(directory) / "results.npz"
|
|
np.savez_compressed(
|
|
npz_path,
|
|
depths=np.ones((1, 2, 3, 1), dtype=np.float32),
|
|
)
|
|
|
|
depth = self.image_depth.extract_depth_array(npz_path)
|
|
|
|
self.assertEqual(depth.shape, (2, 3))
|
|
|
|
def test_extracts_optional_reference_depth(self):
|
|
with tempfile.TemporaryDirectory() as directory:
|
|
npz_path = Path(directory) / "results.npz"
|
|
np.savez_compressed(
|
|
npz_path,
|
|
depth=np.ones((1, 2, 2), dtype=np.float32),
|
|
snapform_reference_depth=np.float32(2.5),
|
|
)
|
|
|
|
reference_depth = self.image_depth.extract_reference_depth(
|
|
npz_path
|
|
)
|
|
|
|
self.assertEqual(reference_depth, 2.5)
|
|
|
|
def test_is_animated_image_accepts_movie_and_sequence(self):
|
|
self.assertTrue(
|
|
self.image_depth.is_animated_image(
|
|
SimpleNamespace(source="MOVIE")
|
|
)
|
|
)
|
|
self.assertTrue(
|
|
self.image_depth.is_animated_image(
|
|
SimpleNamespace(source="SEQUENCE")
|
|
)
|
|
)
|
|
self.assertFalse(
|
|
self.image_depth.is_animated_image(
|
|
SimpleNamespace(source="FILE")
|
|
)
|
|
)
|
|
|
|
def test_video_total_frames_reads_movie_duration(self):
|
|
image = SimpleNamespace(source="MOVIE", frame_duration=97)
|
|
|
|
self.assertEqual(self.image_depth.video_total_frames(image), 97)
|
|
|
|
def test_video_total_frames_counts_sequence_files(self):
|
|
with tempfile.TemporaryDirectory() as directory:
|
|
root = Path(directory)
|
|
(root / "foreground-0001.png").touch()
|
|
(root / "foreground-0002.png").touch()
|
|
image = SimpleNamespace(
|
|
source="SEQUENCE",
|
|
filepath=str(root / "foreground-0001.png"),
|
|
)
|
|
|
|
self.assertEqual(self.image_depth.video_total_frames(image), 2)
|
|
|
|
def test_video_total_frames_returns_one_for_still_image(self):
|
|
image = SimpleNamespace(source="FILE", frame_duration=1)
|
|
|
|
self.assertEqual(self.image_depth.video_total_frames(image), 1)
|
|
|
|
def test_default_extract_frames_uses_empty_image_frames(self):
|
|
source_object = SimpleNamespace(
|
|
data=SimpleNamespace(source="MOVIE", frame_duration=97),
|
|
image_user=SimpleNamespace(frame_duration=24),
|
|
)
|
|
|
|
self.assertEqual(self.image_depth.default_extract_frames(source_object), 24)
|
|
|
|
def test_default_extract_frames_caps_at_video_total(self):
|
|
source_object = SimpleNamespace(
|
|
data=SimpleNamespace(source="MOVIE", frame_duration=97),
|
|
image_user=SimpleNamespace(frame_duration=200),
|
|
)
|
|
|
|
self.assertEqual(self.image_depth.default_extract_frames(source_object), 97)
|
|
|
|
def test_default_extract_frames_falls_back_to_video_total(self):
|
|
source_object = SimpleNamespace(
|
|
data=SimpleNamespace(source="MOVIE", frame_duration=97),
|
|
)
|
|
|
|
self.assertEqual(self.image_depth.default_extract_frames(source_object), 97)
|
|
|
|
def test_extract_frame_range_honors_offset_within_clip(self):
|
|
source_object = SimpleNamespace(
|
|
data=SimpleNamespace(source="MOVIE", frame_duration=97),
|
|
image_user=SimpleNamespace(
|
|
frame_start=4,
|
|
frame_offset=70,
|
|
frame_duration=24,
|
|
),
|
|
)
|
|
|
|
self.assertEqual(
|
|
self.image_depth.extract_frame_range(source_object),
|
|
(71, 24),
|
|
)
|
|
|
|
def test_extract_frame_range_clamps_large_offset_to_clip_tail(self):
|
|
source_object = SimpleNamespace(
|
|
data=SimpleNamespace(source="MOVIE", frame_duration=97),
|
|
image_user=SimpleNamespace(
|
|
frame_start=1,
|
|
frame_offset=90,
|
|
frame_duration=24,
|
|
),
|
|
)
|
|
|
|
self.assertEqual(
|
|
self.image_depth.extract_frame_range(source_object),
|
|
(74, 24),
|
|
)
|
|
|
|
def test_extract_frame_range_clamps_negative_offset_to_start(self):
|
|
source_object = SimpleNamespace(
|
|
data=SimpleNamespace(source="MOVIE", frame_duration=97),
|
|
image_user=SimpleNamespace(
|
|
frame_start=1,
|
|
frame_offset=-5,
|
|
frame_duration=24,
|
|
),
|
|
)
|
|
|
|
self.assertEqual(
|
|
self.image_depth.extract_frame_range(source_object),
|
|
(1, 24),
|
|
)
|
|
|
|
def test_extract_frame_range_returns_full_clip_for_still(self):
|
|
source_object = SimpleNamespace(
|
|
data=SimpleNamespace(source="FILE", frame_duration=1),
|
|
image_user=SimpleNamespace(
|
|
frame_start=1,
|
|
frame_offset=50,
|
|
frame_duration=24,
|
|
),
|
|
)
|
|
|
|
self.assertEqual(
|
|
self.image_depth.extract_frame_range(source_object),
|
|
(1, 1),
|
|
)
|
|
|
|
def test_extract_frame_range_honors_single_frame_setting(self):
|
|
source_object = SimpleNamespace(
|
|
data=SimpleNamespace(source="MOVIE", frame_duration=97),
|
|
image_user=SimpleNamespace(
|
|
frame_start=1,
|
|
frame_offset=70,
|
|
frame_duration=1,
|
|
),
|
|
)
|
|
|
|
self.assertEqual(
|
|
self.image_depth.extract_frame_range(source_object),
|
|
(71, 1),
|
|
)
|
|
|
|
def test_configure_image_user_preserves_cyclic_setting(self):
|
|
image_user = SimpleNamespace(
|
|
frame_start=0,
|
|
frame_offset=5,
|
|
use_auto_refresh=False,
|
|
use_cyclic=False,
|
|
frame_duration=1,
|
|
)
|
|
|
|
self.image_depth.configure_image_user(
|
|
image_user,
|
|
97,
|
|
frame_start=4,
|
|
frame_offset=70,
|
|
)
|
|
|
|
self.assertFalse(image_user.use_cyclic)
|
|
self.assertTrue(image_user.use_auto_refresh)
|
|
self.assertEqual(image_user.frame_start, 4)
|
|
self.assertEqual(image_user.frame_offset, 70)
|
|
self.assertEqual(image_user.frame_duration, 97)
|
|
self.image_depth.configure_image_user(
|
|
image_user,
|
|
use_cyclic=True,
|
|
)
|
|
self.assertTrue(image_user.use_cyclic)
|
|
|
|
def test_image_user_settings_reads_empty_values(self):
|
|
source_object = SimpleNamespace(
|
|
image_user=SimpleNamespace(
|
|
frame_start=4,
|
|
frame_offset=70,
|
|
frame_duration=12,
|
|
)
|
|
)
|
|
|
|
self.assertEqual(
|
|
self.image_depth.image_user_settings(source_object),
|
|
(4, 70, 12, False),
|
|
)
|
|
|
|
source_object.image_user.use_cyclic = True
|
|
self.assertEqual(
|
|
self.image_depth.image_user_settings(source_object),
|
|
(4, 70, 12, True),
|
|
)
|
|
|
|
def test_image_user_settings_defaults_without_user(self):
|
|
self.assertEqual(
|
|
self.image_depth.image_user_settings(
|
|
SimpleNamespace(image_user=None)
|
|
),
|
|
(1, 0, 0, False),
|
|
)
|
|
|
|
def test_image_base_name_strips_video_extension(self):
|
|
image = SimpleNamespace(name="微信视频2026-07-23_192756_414.mp4")
|
|
|
|
self.assertEqual(
|
|
self.image_depth.image_base_name(image),
|
|
"微信视频2026-07-23_192756_414",
|
|
)
|
|
|
|
def test_removed_background_name_strips_video_extension(self):
|
|
source_object = SimpleNamespace(data=SimpleNamespace(name="clip.mp4"))
|
|
|
|
self.assertEqual(
|
|
self.image_depth.removed_background_data_name(source_object),
|
|
"clip.foreground",
|
|
)
|
|
|
|
def test_force_sequence_source_keeps_loaded_sequence(self):
|
|
image = SimpleNamespace(source="SEQUENCE")
|
|
|
|
result = self.image_depth.force_sequence_source(image)
|
|
|
|
self.assertIs(result, image)
|
|
self.assertEqual(image.source, "SEQUENCE")
|
|
|
|
def test_force_sequence_source_switches_single_image(self):
|
|
image = SimpleNamespace(source="FILE")
|
|
|
|
result = self.image_depth.force_sequence_source(image)
|
|
|
|
self.assertIs(result, image)
|
|
self.assertEqual(image.source, "SEQUENCE")
|
|
|
|
def test_force_sequence_source_reports_unloadable_sequence(self):
|
|
class BlockedImage:
|
|
@property
|
|
def source(self):
|
|
return "FILE"
|
|
|
|
@source.setter
|
|
def source(self, value):
|
|
raise RuntimeError("blocked")
|
|
|
|
with self.assertRaisesRegex(RuntimeError, "cannot load"):
|
|
self.image_depth.force_sequence_source(BlockedImage())
|
|
|
|
def test_collect_sequence_frames_returns_numbered_files_in_order(self):
|
|
with tempfile.TemporaryDirectory() as directory:
|
|
root = Path(directory)
|
|
(root / "frame-0001.jpg").touch()
|
|
(root / "frame-0002.jpg").touch()
|
|
(root / "frame-0003.jpg").touch()
|
|
(root / "notes.txt").touch()
|
|
image = SimpleNamespace(
|
|
source="SEQUENCE",
|
|
filepath=str(root / "frame-0002.jpg"),
|
|
)
|
|
|
|
frames = self.image_depth.collect_sequence_frames(image)
|
|
|
|
self.assertEqual(
|
|
[path.name for path in frames],
|
|
["frame-0001.jpg", "frame-0002.jpg", "frame-0003.jpg"],
|
|
)
|
|
|
|
def test_sorted_frame_paths_uses_numeric_frame_order(self):
|
|
with tempfile.TemporaryDirectory() as directory:
|
|
root = Path(directory)
|
|
(root / "frame-2.jpg").touch()
|
|
(root / "frame-10.jpg").touch()
|
|
(root / "frame-1.jpg").touch()
|
|
|
|
frames = self.image_depth.sorted_frame_paths(root)
|
|
|
|
self.assertEqual(
|
|
[path.name for path in frames],
|
|
["frame-1.jpg", "frame-2.jpg", "frame-10.jpg"],
|
|
)
|
|
|
|
def test_accepts_single_depth_map_with_channel_axis(self):
|
|
with tempfile.TemporaryDirectory() as directory:
|
|
npz_path = Path(directory) / "results.npz"
|
|
np.savez_compressed(
|
|
npz_path,
|
|
depth=np.ones((2, 3, 1), dtype=np.float32),
|
|
)
|
|
|
|
depth = self.image_depth.extract_depth_array(npz_path)
|
|
|
|
self.assertEqual(depth.shape, (2, 3))
|
|
|
|
def test_extracts_camera_intrinsics(self):
|
|
expected = np.array(
|
|
((100.0, 0.0, 50.0), (0.0, 120.0, 40.0), (0.0, 0.0, 1.0)),
|
|
dtype=np.float32,
|
|
)
|
|
with tempfile.TemporaryDirectory() as directory:
|
|
npz_path = Path(directory) / "results.npz"
|
|
np.savez_compressed(
|
|
npz_path,
|
|
intrinsics=expected[None, ...],
|
|
)
|
|
|
|
intrinsics = self.image_depth.extract_intrinsics_array(
|
|
npz_path
|
|
)
|
|
|
|
np.testing.assert_array_equal(intrinsics, expected)
|
|
|
|
def test_camera_plane_bounds_use_intrinsics_and_median_depth(self):
|
|
source = SimpleNamespace(
|
|
data=SimpleNamespace(size=(200, 100)),
|
|
empty_image_offset=(-0.5, -0.5),
|
|
)
|
|
depth = np.full((100, 200), 2.0, dtype=np.float32)
|
|
intrinsics = np.array(
|
|
((100.0, 0.0, 100.0), (0.0, 100.0, 50.0), (0.0, 0.0, 1.0)),
|
|
dtype=np.float32,
|
|
)
|
|
|
|
bounds, reference_depth = self.image_depth.camera_plane_bounds(
|
|
source,
|
|
depth,
|
|
intrinsics,
|
|
-1.0,
|
|
)
|
|
|
|
self.assertEqual(bounds, (-2.0, 2.0, -1.0, 1.0))
|
|
self.assertEqual(reference_depth, 2.0)
|
|
|
|
def test_camera_plane_bounds_follow_displacement_unit_scale(self):
|
|
source = SimpleNamespace(
|
|
data=SimpleNamespace(size=(200, 100)),
|
|
empty_image_offset=(-0.5, -0.5),
|
|
)
|
|
depth = np.full((100, 200), 2.0, dtype=np.float32)
|
|
intrinsics = np.array(
|
|
((100.0, 0.0, 100.0), (0.0, 100.0, 50.0), (0.0, 0.0, 1.0)),
|
|
dtype=np.float32,
|
|
)
|
|
|
|
bounds, _reference_depth = (
|
|
self.image_depth.camera_plane_bounds(
|
|
source,
|
|
depth,
|
|
intrinsics,
|
|
-0.5,
|
|
)
|
|
)
|
|
|
|
self.assertEqual(bounds, (-1.0, 1.0, -0.5, 0.5))
|
|
|
|
def test_camera_plane_bounds_use_stored_unmasked_reference_depth(self):
|
|
source = SimpleNamespace(
|
|
data=SimpleNamespace(size=(200, 100)),
|
|
empty_image_offset=(-0.5, -0.5),
|
|
)
|
|
depth = np.full((100, 200), 9.0, dtype=np.float32)
|
|
intrinsics = np.array(
|
|
((100.0, 0.0, 100.0), (0.0, 100.0, 50.0), (0.0, 0.0, 1.0)),
|
|
dtype=np.float32,
|
|
)
|
|
|
|
bounds, reference_depth = self.image_depth.camera_plane_bounds(
|
|
source,
|
|
depth,
|
|
intrinsics,
|
|
-1.0,
|
|
reference_depth=2.0,
|
|
)
|
|
|
|
self.assertEqual(bounds, (-2.0, 2.0, -1.0, 1.0))
|
|
self.assertEqual(reference_depth, 2.0)
|
|
|
|
def test_camera_plane_bounds_preserve_square_source_aspect(self):
|
|
source = SimpleNamespace(
|
|
data=SimpleNamespace(size=(447, 447)),
|
|
empty_image_offset=(-0.5, -0.5),
|
|
)
|
|
depth = np.full((140, 140), 0.7366, dtype=np.float32)
|
|
intrinsics = np.array(
|
|
(
|
|
(460.758, 0.0, 70.0),
|
|
(0.0, 393.372, 70.0),
|
|
(0.0, 0.0, 1.0),
|
|
),
|
|
dtype=np.float32,
|
|
)
|
|
|
|
bounds, _reference_depth = (
|
|
self.image_depth.camera_plane_bounds(
|
|
source,
|
|
depth,
|
|
intrinsics,
|
|
-1.0,
|
|
)
|
|
)
|
|
width = bounds[1] - bounds[0]
|
|
height = bounds[3] - bounds[2]
|
|
|
|
self.assertAlmostEqual(width / height, 1.0)
|
|
|
|
def test_raw_distance_preserves_original_values(self):
|
|
depth = np.array(
|
|
((1.25, -2.5), (0.0, np.nan)),
|
|
dtype=np.float32,
|
|
)
|
|
|
|
mapped = self.image_depth.prepare_depth_values(depth)
|
|
|
|
self.assertEqual(float(mapped[0, 0]), 1.25)
|
|
self.assertEqual(float(mapped[0, 1]), -2.5)
|
|
self.assertEqual(float(mapped[1, 0]), 0.0)
|
|
self.assertEqual(float(mapped[1, 1]), 0.0)
|
|
|
|
def test_depth_values_are_scaled_before_creating_depth_image(self):
|
|
depth = np.array(
|
|
((0.5, -1.0), (0.0, 2.0)),
|
|
dtype=np.float32,
|
|
)
|
|
|
|
scaled = self.image_depth.scale_depth_values(depth, 4.1)
|
|
|
|
np.testing.assert_allclose(
|
|
scaled,
|
|
((2.05, -4.1), (0.0, 8.2)),
|
|
)
|
|
|
|
def test_depth_plane_uses_fixed_import_settings(self):
|
|
self.assertEqual(self.image_depth.DISPLACEMENT_STRENGTH, 1.0)
|
|
self.assertEqual(self.image_depth.DISPLACEMENT_MIDLEVEL, 0.0)
|
|
self.assertEqual(self.image_depth.BUMP_BASE_DISTANCE, 0.001)
|
|
|
|
def test_grid_segments_follow_aspect_ratio_from_subdivision_power(self):
|
|
self.assertEqual(
|
|
self.image_depth.grid_segments((0.0, 3.0, 0.0, 2.0), 1),
|
|
(3, 2),
|
|
)
|
|
self.assertEqual(
|
|
self.image_depth.grid_segments((0.0, 2.0, 0.0, 3.0), 1),
|
|
(2, 3),
|
|
)
|
|
self.assertEqual(
|
|
self.image_depth.grid_segments((0.0, 3.0, 0.0, 2.0), 3),
|
|
(12, 8),
|
|
)
|
|
|
|
def test_plane_fit_transform_matches_source_size_and_offset(self):
|
|
source = SimpleNamespace(
|
|
data=SimpleNamespace(size=(800, 400)),
|
|
empty_display_size=2.0,
|
|
empty_image_offset=(-0.25, -0.75),
|
|
)
|
|
|
|
transform = self.image_depth.plane_fit_transform(
|
|
source,
|
|
(-0.1, 0.3, -0.1, 0.1),
|
|
)
|
|
|
|
for value, expected in zip(
|
|
transform,
|
|
(5.0, 5.0, 5.0, 0.0, -0.25),
|
|
):
|
|
self.assertAlmostEqual(value, expected)
|
|
|
|
def test_process_resolution_scales_the_image_long_edge(self):
|
|
image = SimpleNamespace(size=(1080, 1920))
|
|
|
|
self.assertEqual(
|
|
self.image_depth.scaled_process_resolution(image, 0.5),
|
|
960,
|
|
)
|
|
|
|
def test_depth_data_uses_source_image_name(self):
|
|
source_object = SimpleNamespace(
|
|
name="obj_img",
|
|
data=SimpleNamespace(name="img.png"),
|
|
)
|
|
|
|
self.assertEqual(
|
|
self.image_depth.depth_data_name(source_object),
|
|
"img.depth",
|
|
)
|
|
source_object.data.name = "img.png.001"
|
|
self.assertEqual(
|
|
self.image_depth.depth_data_name(source_object),
|
|
"img.001.depth",
|
|
)
|
|
|
|
def test_copy_depth_image_renames_still_source(self):
|
|
class FakeImage:
|
|
def __init__(self, name):
|
|
self.name = name
|
|
|
|
def copy(self):
|
|
return FakeImage("img.png.001")
|
|
|
|
source_object = SimpleNamespace(data=FakeImage("img.png"))
|
|
|
|
depth_image = self.image_depth.copy_depth_image(source_object)
|
|
|
|
self.assertEqual(depth_image.name, "img.depth")
|
|
|
|
def test_removed_background_name_uses_source_image_base_name(self):
|
|
source_object = SimpleNamespace(
|
|
data=SimpleNamespace(name="img.png"),
|
|
)
|
|
|
|
self.assertEqual(
|
|
self.image_depth.removed_background_data_name(source_object),
|
|
"img.foreground",
|
|
)
|
|
source_object.data.name = "img.png.001"
|
|
self.assertEqual(
|
|
self.image_depth.removed_background_data_name(source_object),
|
|
"img.001.foreground",
|
|
)
|
|
|
|
def test_surface_displacement_is_set_to_displacement_only(self):
|
|
class Material:
|
|
surface_displacement_method = "BUMP"
|
|
|
|
material = Material()
|
|
self.image_depth.set_displacement_only(material)
|
|
|
|
self.assertEqual(
|
|
material.surface_displacement_method,
|
|
"DISPLACEMENT",
|
|
)
|
|
|
|
def test_plane_bounds_keep_image_aspect_and_empty_offset(self):
|
|
source = SimpleNamespace(
|
|
data=SimpleNamespace(size=(800, 400)),
|
|
empty_display_size=2.0,
|
|
empty_image_offset=(-0.5, -0.5),
|
|
)
|
|
|
|
bounds = self.image_depth.plane_bounds(source)
|
|
|
|
self.assertEqual(bounds, (-1.0, 1.0, -0.5, 0.5))
|
|
|
|
|
|
if __name__ == "__main__":
|
|
unittest.main()
|