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How to use is_file method in assertpy
Best Python code snippet using assertpy_python
test_io_import.py
Source:test_io_import.py 
1import warnings2from pathlib import Path3from unittest.mock import MagicMock, patch4import numpy as np5from PIL import Image as PILImage6from pytest import raises7import menpo.io as mio8from menpo.shape import PointCloud9def test_import_incorrect_built_in():10 with raises(ValueError):11 mio.import_builtin_asset("adskljasdlkajd.obj")12def test_breaking_bad_import():13 img = mio.import_builtin_asset("breakingbad.jpg")14 assert img.shape == (1080, 1920)15 assert img.n_channels == 316 assert img.landmarks["PTS"].n_points == 6817def test_breaking_bad_import_kwargs():18 img = mio.import_builtin_asset("breakingbad.jpg", normalize=False)19 assert img.pixels.dtype == np.uint820def test_takeo_import():21 img = mio.import_builtin_asset("takeo.ppm")22 assert img.shape == (225, 150)23 assert img.n_channels == 324 assert img.landmarks["PTS"].n_points == 6825def test_einstein_import():26 img = mio.import_builtin_asset("einstein.jpg")27 assert img.shape == (1024, 817)28 assert img.n_channels == 129 assert img.landmarks["PTS"].n_points == 6830def test_lenna_import():31 img = mio.import_builtin_asset("lenna.png")32 assert img.shape == (512, 512)33 assert img.n_channels == 334 assert img.landmarks.n_groups == 235 assert img.landmarks["LJSON"].n_points == 6836 assert img.landmarks["pupils"].n_points == 237def test_import_builtin_ljson():38 lmarks = mio.import_builtin_asset("lenna.ljson")["LJSON"]39 assert lmarks.n_points == 6840def test_import_builtin_pts():41 lmarks = mio.import_builtin_asset("einstein.pts")["PTS"]42 assert lmarks.n_points == 6843def test_resolve_from_paths_single_group():44 def resolver(path):45 test_dict = {"test": path.with_name("takeo.pts")}46 return mio.input.resolve_from_paths(test_dict)47 image = mio.import_image(48 mio.data_path_to("einstein.jpg"), landmark_resolver=resolver49 )50 assert image.landmarks.n_groups == 151 assert image.landmarks["test"].path == mio.data_path_to("takeo.pts")52def test_resolve_from_paths_multi_group():53 def resolver(path):54 test_dict = {"test": path.with_name("lenna.ljson")}55 return mio.input.resolve_from_paths(test_dict)56 image = mio.import_image(57 mio.data_path_to("einstein.jpg"), landmark_resolver=resolver58 )59 assert image.landmarks.n_groups == 260 assert set(image.landmarks.keys()) == {"test_LJSON", "test_pupils"}61def test_path():62 # choose a random asset (all should have it!)63 img = mio.import_builtin_asset("einstein.jpg")64 path = mio.data_path_to("einstein.jpg")65 assert img.path == path66 assert img.path.stem == "einstein"67 assert img.path.suffix == ".jpg"68 assert img.path.parent == mio.data_dir_path()69 assert img.path.name == "einstein.jpg"70@patch("menpo.io.input.base._pathlib_glob_for_pattern")71def test_single_suffix_dot_in_path(pathlib_glob):72 import menpo.io.input.base as mio_base73 from pathlib import Path74 fake_path = Path("fake_path.t0.t1.t2")75 pathlib_glob.return_value = [fake_path]76 ext_map = MagicMock()77 ext_map.__contains__.side_effect = lambda x: x == ".t2"78 ret_val = next(mio_base.glob_with_suffix("*.t0.t1.t2", ext_map))79 assert ret_val == fake_path80 ext_map.__contains__.assert_called_with(".t2")81def test_upper_extension_mapped_to_lower():82 import menpo.io.input.base as mio_base83 from pathlib import Path84 ext_map = MagicMock()85 mio_base.importer_for_filepath(Path("fake_path.JPG"), ext_map)86 ext_map.get.assert_called_with(".jpg")87@patch("menpo.io.input.base._pathlib_glob_for_pattern")88def test_double_suffix(pathlib_glob):89 import menpo.io.input.base as mio_base90 from pathlib import Path91 fake_path = Path("fake_path.t1.t2")92 pathlib_glob.return_value = [fake_path]93 ext_map = MagicMock()94 ext_map.__contains__.side_effect = lambda x: x == ".t1.t2"95 ret_val = next(mio_base.glob_with_suffix("*.t1.t2", ext_map))96 assert ret_val == fake_path97 ext_map.__contains__.assert_any_call(".t1.t2")98 ext_map.__contains__.assert_any_call(".t2")99def test_import_image():100 img_path = mio.data_dir_path() / "einstein.jpg"101 im = mio.import_image(img_path)102 assert im.pixels.dtype == float103 assert im.n_channels == 1104def test_custom_landmark_resolver():105 def lmark_resolver(path):106 return mio.import_landmark_file(mio.data_path_to("takeo.pts"))107 img = mio.import_image(108 mio.data_path_to("lenna.png"), landmark_resolver=lmark_resolver109 )110 assert img.has_landmarks111 takeo_lmarks = mio.import_builtin_asset.takeo_pts()["PTS"]112 np.allclose(img.landmarks["PTS"].points, takeo_lmarks.points)113def test_landmark_resolver_none():114 img = mio.import_image(mio.data_path_to("lenna.png"), landmark_resolver=None)115 assert not img.has_landmarks116def test_import_image_no_norm():117 img_path = mio.data_dir_path() / "einstein.jpg"118 im = mio.import_image(img_path, normalize=False)119 assert im.pixels.dtype == np.uint8120def test_import_landmark_file():121 lm_path = mio.data_dir_path() / "einstein.pts"122 mio.import_landmark_file(lm_path)123def test_import_images():124 imgs = list(mio.import_images(mio.data_dir_path()))125 imgs_filenames = set(i.path.stem for i in imgs)126 exp_imgs_filenames = {127 "einstein",128 "takeo",129 "tongue",130 "breakingbad",131 "lenna",132 "menpo_thumbnail",133 }134 assert exp_imgs_filenames == imgs_filenames135def test_import_images_are_ordered_and_unduplicated():136 # we know that import_images returns images in path order137 imgs = list(mio.import_images(mio.data_dir_path()))138 imgs_filenames = [i.path.stem for i in imgs]139 print(imgs_filenames)140 exp_imgs_filenames = [141 "breakingbad",142 "einstein",143 "lenna",144 "menpo_thumbnail",145 "takeo",146 "tongue",147 ]148 assert exp_imgs_filenames == imgs_filenames149def test_lsimgs_filenamess():150 assert set(mio.ls_builtin_assets()) == {151 "breakingbad.jpg",152 "einstein.jpg",153 "einstein.pts",154 "lenna.png",155 "breakingbad.pts",156 "lenna.ljson",157 "takeo.ppm",158 "takeo.pts",159 "tongue.jpg",160 "tongue.pts",161 "menpo_thumbnail.jpg",162 }163def test_image_paths():164 ls = mio.image_paths(mio.data_dir_path())165 assert len(list(ls)) == 6166def test_import_images_wrong_path_raises_value_error():167 with raises(ValueError):168 list(mio.import_images("asldfjalkgjlaknglkajlekjaltknlaekstjlakj"))169def test_import_landmark_files_wrong_path_raises_value_error():170 with raises(ValueError):171 list(mio.import_landmark_files("asldfjalkgjlaknglkajlekjaltknlaekstjlakj"))172@patch("PIL.Image.open")173@patch("menpo.io.input.base.Path.is_file")174def test_importing_PIL_no_normalize(is_file, mock_image):175 mock_image.return_value = PILImage.new("RGBA", (10, 15))176 is_file.return_value = True177 im = mio.import_image("fake_image_being_mocked.png", normalize=False)178 assert im.shape == (15, 10)179 assert im.n_channels == 4180 assert im.pixels.dtype == np.uint8181@patch("PIL.Image.open")182@patch("menpo.io.input.base.Path.is_file")183def test_importing_PIL_RGBA_normalize(is_file, mock_image):184 from menpo.image import MaskedImage185 mock_image.return_value = PILImage.new("RGBA", (10, 15))186 is_file.return_value = True187 im = mio.import_image("fake_image_being_mocked.ppm", normalize=True)188 assert im.shape == (15, 10)189 assert im.n_channels == 3190 assert im.pixels.dtype == float191 assert type(im) == MaskedImage192@patch("PIL.Image.open")193@patch("menpo.io.input.base.Path.is_file")194def test_importing_PIL_RGBA_no_normalize(is_file, mock_image):195 mock_image.return_value = PILImage.new("RGBA", (10, 15))196 is_file.return_value = True197 im = mio.import_image("fake_image_being_mocked.ppm", normalize=False)198 assert im.shape == (15, 10)199 assert im.n_channels == 4200 assert im.pixels.dtype == np.uint8201@patch("PIL.Image.open")202@patch("menpo.io.input.base.Path.is_file")203def test_importing_PIL_L_no_normalize(is_file, mock_image):204 mock_image.return_value = PILImage.new("L", (10, 15))205 is_file.return_value = True206 im = mio.import_image("fake_image_being_mocked.ppm", normalize=False)207 assert im.shape == (15, 10)208 assert im.n_channels == 1209 assert im.pixels.dtype == np.uint8210@patch("PIL.Image.open")211@patch("menpo.io.input.base.Path.is_file")212def test_importing_PIL_L_normalize(is_file, mock_image):213 mock_image.return_value = PILImage.new("L", (10, 15))214 is_file.return_value = True215 im = mio.import_image("fake_image_being_mocked.ppm", normalize=True)216 assert im.shape == (15, 10)217 assert im.n_channels == 1218 assert im.pixels.dtype == float219@patch("PIL.Image.open")220@patch("menpo.io.input.base.Path.is_file")221def test_importing_PIL_I_normalize(is_file, mock_image):222 mock_image.return_value = PILImage.new("I", (10, 15))223 is_file.return_value = True224 with raises(ValueError):225 mio.import_image("fake_image_being_mocked.ppm", normalize=True)226@patch("PIL.Image.open")227@patch("menpo.io.input.base.Path.is_file")228def test_importing_PIL_I_no_normalize(is_file, mock_image):229 mock_image.return_value = PILImage.new("I", (10, 15))230 is_file.return_value = True231 im = mio.import_image("fake_image_being_mocked.ppm", normalize=False)232 assert im.shape == (15, 10)233 assert im.n_channels == 1234 assert im.pixels.dtype == np.int32235@patch("PIL.Image.open")236@patch("menpo.io.input.base.Path.is_file")237def test_importing_PIL_1_normalize(is_file, mock_image):238 from menpo.image import BooleanImage239 mock_image.return_value = PILImage.new("1", (10, 15))240 is_file.return_value = True241 im = mio.import_image("fake_image_being_mocked.ppm", normalize=True)242 assert im.shape == (15, 10)243 assert im.n_channels == 1244 assert im.pixels.dtype == bool245 assert type(im) == BooleanImage246@patch("PIL.Image.open")247@patch("menpo.io.input.base.Path.is_file")248def test_importing_PIL_1_no_normalize(is_file, mock_image):249 from menpo.image import BooleanImage250 mock_image.return_value = PILImage.new("1", (10, 15))251 is_file.return_value = True252 im = mio.import_image("fake_image_being_mocked.ppm", normalize=False)253 assert im.shape == (15, 10)254 assert im.n_channels == 1255 assert im.pixels.dtype == bool256 assert type(im) == BooleanImage257@patch("PIL.Image.open")258@patch("menpo.io.input.base.Path.is_file")259def test_importing_PIL_1_proper_conversion(is_file, mock_image):260 from menpo.image import BooleanImage261 arr = np.zeros((10, 10), dtype=np.uint8)262 arr[4, 4] = 255263 mock_image.return_value = PILImage.fromarray(arr).convert("1")264 is_file.return_value = True265 im = mio.import_image("fake_image_being_mocked.ppm", normalize=False)266 assert im.shape == (10, 10)267 assert im.n_channels == 1268 assert im.pixels.dtype == bool269 assert type(im) == BooleanImage270 assert np.all(im.pixels == arr.astype(bool))271@patch("PIL.Image.open")272@patch("menpo.io.input.base.Path.is_file")273def test_importing_PIL_P_normalize(is_file, mock_image):274 mock_image.return_value = PILImage.new("P", (10, 10))275 is_file.return_value = True276 im = mio.import_image("fake_image_being_mocked.ppm", normalize=True)277 assert im.shape == (10, 10)278 assert im.n_channels == 3279 assert im.pixels.dtype == float280@patch("PIL.Image.open")281@patch("menpo.io.input.base.Path.is_file")282def test_importing_PIL_P_no_normalize(is_file, mock_image):283 mock_image.return_value = PILImage.new("P", (10, 15))284 is_file.return_value = True285 im = mio.import_image("fake_image_being_mocked.ppm", normalize=False)286 assert im.shape == (15, 10)287 assert im.n_channels == 3288 assert im.pixels.dtype == np.uint8289@patch("subprocess.Popen")290@patch("menpo.io.input.video.video_infos_ffprobe")291@patch("menpo.io.input.base.Path.is_file")292def test_importing_ffmpeg_GIF_normalize(is_file, video_infos_ffprobe, pipe):293 video_infos_ffprobe.return_value = {294 "duration": 2,295 "width": 100,296 "height": 150,297 "n_frames": 10,298 "fps": 5,299 }300 empty_frame = np.zeros(150 * 100 * 3, dtype=np.uint8).tobytes()301 pipe.return_value.stdout.read.return_value = empty_frame302 is_file.return_value = True303 ll = mio.import_image("fake_image_being_mocked.gif", normalize=True)304 assert ll.path.name == "fake_image_being_mocked.gif"305 assert ll.fps == 5306 assert len(ll) == 10307 im = ll[0]308 assert im.shape == (150, 100)309 assert im.n_channels == 3310 assert im.pixels.dtype == float311@patch("subprocess.Popen")312@patch("menpo.io.input.video.video_infos_ffprobe")313@patch("menpo.io.input.base.Path.is_file")314def test_importing_ffmpeg_GIF_no_normalize(is_file, video_infos_ffprobe, pipe):315 video_infos_ffprobe.return_value = {316 "duration": 2,317 "width": 100,318 "height": 150,319 "n_frames": 10,320 "fps": 5,321 }322 empty_frame = np.zeros(150 * 100 * 3, dtype=np.uint8).tobytes()323 pipe.return_value.stdout.read.return_value = empty_frame324 is_file.return_value = True325 ll = mio.import_image("fake_image_being_mocked.gif", normalize=False)326 assert ll.path.name == "fake_image_being_mocked.gif"327 assert ll.fps == 5328 assert len(ll) == 10329 im = ll[0]330 assert im.shape == (150, 100)331 assert im.n_channels == 3332 assert im.pixels.dtype == np.uint8333@patch("menpo.io.input.landmark.json.load")334@patch("menpo.io.input.base.Path.open")335@patch("menpo.io.input.base.Path.is_file")336def test_importing_v1_ljson_null_values(is_file, mock_open, mock_dict):337 v1_ljson = {338 "groups": [339 {340 "connectivity": [[0, 1], [1, 2], [2, 3]],341 "label": "chin",342 "landmarks": [343 {"point": [987.9, 1294.1]},344 {"point": [96.78, 1246.8]},345 {"point": [None, 0.1]},346 {"point": [303.22, 167.2]},347 ],348 },349 {350 "connectivity": [[0, 1]],351 "label": "leye",352 "landmarks": [{"point": [None, None]}, {"point": [None, None]}],353 },354 ],355 "version": 1,356 }357 mock_dict.return_value = v1_ljson358 is_file.return_value = True359 with warnings.catch_warnings(record=True) as found_warnings:360 lmark = mio.import_landmark_file("fake_lmark_being_mocked.ljson", group="LJSON")361 nan_points = np.isnan(lmark.points)362 # Should raise deprecation warning363 assert len(found_warnings) == 1, [w.message for w in found_warnings]364 assert nan_points[2, 0] # y-coord None point is nan365 assert not nan_points[2, 1] # x-coord point is not nan366 assert np.all(nan_points[4:, :]) # all of leye label is nan367@patch("menpo.io.input.landmark.json.load")368@patch("menpo.io.input.base.Path.open")369@patch("menpo.io.input.base.Path.is_file")370def test_importing_v2_ljson_null_values(is_file, mock_open, mock_dict):371 v2_ljson = {372 "labels": [373 {"label": "left_eye", "mask": [0, 1, 2]},374 {"label": "right_eye", "mask": [3, 4, 5]},375 ],376 "landmarks": {377 "connectivity": [[0, 1], [1, 2], [2, 0], [3, 4], [4, 5], [5, 3]],378 "points": [379 [None, 200.5],380 [None, None],381 [316.8, 199.15],382 [339.48, 205.0],383 [358.54, 217.82],384 [375.0, 233.4],385 ],386 },387 "version": 2,388 }389 mock_dict.return_value = v2_ljson390 is_file.return_value = True391 with warnings.catch_warnings(record=True) as w:392 lmark = mio.import_landmark_file("fake_lmark_being_mocked.ljson", group="LJSON")393 nan_points = np.isnan(lmark.points)394 assert nan_points[0, 0] # y-coord None point is nan395 assert not nan_points[0, 1] # x-coord point is not nan396 assert np.all(nan_points[1, :]) # all of leye label is nan397@patch("menpo.io.input.landmark.json.load")398@patch("menpo.io.input.base.Path.open")399@patch("menpo.io.input.base.Path.is_file")400def test_importing_v3_ljson_null_values(is_file, mock_open, mock_dict):401 v3_ljson = {402 "groups": {403 "LJSON": {404 "labels": [405 {"label": "left_eye", "mask": [0, 1, 2]},406 {"label": "right_eye", "mask": [3, 4, 5]},407 ],408 "landmarks": {409 "connectivity": [[0, 1], [1, 2], [2, 0], [3, 4], [4, 5], [5, 3]],410 "points": [411 [None, 200.5],412 [None, None],413 [316.8, 199.15],414 [339.48, 205.0],415 [358.54, 217.82],416 [375.0, 233.4],417 ],418 },419 }420 },421 "version": 3,422 }423 mock_dict.return_value = v3_ljson424 is_file.return_value = True425 lmark_dict = mio.import_landmark_file("fake_lmark_being_mocked.ljson")426 assert isinstance(lmark_dict, dict)427 lmark = lmark_dict["LJSON"]428 nan_points = np.isnan(lmark.points)429 assert nan_points[0, 0] # y-coord None point is nan430 assert not nan_points[0, 1] # x-coord point is not nan431 assert np.all(nan_points[1, :]) # all of leye label is nan432def test_export_import_pointcloud_ljson_v3(tmpdir):433 tmpdir = Path(tmpdir)434 pc = PointCloud(np.random.random([10, 2]), copy=False)435 mio.export_landmark_file(pc, tmpdir / "test.ljson")436 loaded_pc = mio.import_landmark_file(tmpdir / "test.ljson")["LJSON"]437 np.testing.assert_allclose(pc.points, loaded_pc.points)438@patch("random.shuffle")439def test_shuffle_kwarg_true_calls_shuffle(mock):440 list(mio.import_images(mio.data_dir_path(), shuffle=True))441 assert mock.called442def test_import_as_generator():443 import types444 gen = mio.import_images(mio.data_dir_path(), as_generator=True)445 assert isinstance(gen, types.GeneratorType)446 gen = mio.import_landmark_files(mio.data_dir_path(), as_generator=True)447 assert isinstance(gen, types.GeneratorType)448def test_import_lazy_list():449 from menpo.base import LazyList450 data_path = mio.data_dir_path()451 ll = mio.import_images(data_path)452 assert isinstance(ll, LazyList)453 ll = mio.import_landmark_files(data_path)454 assert isinstance(ll, LazyList)455@patch("menpo.io.input.pickle.pickle.load")456@patch("menpo.io.input.base.Path.open")457@patch("menpo.io.input.base.Path.is_file")458def test_importing_pickle(is_file, mock_open, mock_pickle):459 mock_pickle.return_value = {"test": 1}460 is_file.return_value = True461 objs = mio.import_pickle("mocked.pkl")462 assert isinstance(objs, dict)463 assert "test" in objs464 assert objs["test"] == 1465@patch("menpo.io.input.pickle.pickle.load")466@patch("menpo.io.input.base.Path.open")467@patch("menpo.io.input.base.Path.is_file")468@patch("sys.version_info")469def test_importing_pickle_encoding_py3(version_info, is_file, mock_open, mock_pickle):470 version_info.major = 3471 mock_pickle.return_value = {"test": 1}472 is_file.return_value = True473 mio.import_pickle("mocked.pkl", encoding="latin1")474 assert mock_pickle.call_args[1].get("encoding") == "latin1"475@patch("menpo.io.input.pickle.pickle.load")476@patch("menpo.io.input.base.Path.open")477@patch("menpo.io.input.base.Path.is_file")478@patch("sys.version_info")479def test_importing_pickle_encoding_ignored_py2(480 version_info, is_file, mock_open, mock_pickle481):482 version_info.major = 2483 mock_pickle.return_value = {"test": 1}484 is_file.return_value = True485 mio.import_pickle("mocked.pkl", encoding="latin1")486 assert "encoding" not in mock_pickle.call_args[1]487@patch("menpo.io.input.pickle.pickle.load")488@patch("menpo.io.input.base.Path.open")489@patch("menpo.io.input.base.Path.glob")490@patch("menpo.io.input.base.Path.is_file")491def test_importing_pickles(is_file, glob, mock_open, mock_pickle):492 from pathlib import Path493 from menpo.base import LazyList494 mock_pickle.return_value = {"test": 1}495 is_file.return_value = True496 glob.return_value = [Path("mocked1.pkl"), Path("mocked2.pkl")]497 objs = mio.import_pickles("*")498 assert isinstance(objs, LazyList)499 assert len(objs) == 2500 assert objs[0]["test"] == 1501 assert objs[1]["test"] == 1502@patch("menpo.io.input.pickle.pickle.load")503@patch("menpo.io.input.base.Path.open")504@patch("menpo.io.input.base.Path.glob")505@patch("menpo.io.input.base.Path.is_file")506def test_importing_pickles_as_generator(is_file, glob, mock_open, mock_pickle):507 from pathlib import Path508 import types509 mock_pickle.return_value = {"test": 1}510 is_file.return_value = True511 glob.return_value = [Path("mocked1.pkl"), Path("mocked2.pkl")]512 objs = mio.import_pickles("*", as_generator=True)513 assert isinstance(objs, types.GeneratorType)514 objs = list(objs)515 assert len(objs) == 2516 assert objs[0]["test"] == 1517 assert objs[1]["test"] == 1518@patch("subprocess.Popen")519@patch("menpo.io.input.video.video_infos_ffprobe")520@patch("menpo.io.input.base.Path.is_file")521def test_importing_ffmpeg_avi_no_normalize(is_file, video_infos_ffprobe, pipe):522 video_infos_ffprobe.return_value = {523 "duration": 2,524 "width": 100,525 "height": 150,526 "n_frames": 10,527 "fps": 5,528 }529 is_file.return_value = True530 empty_frame = np.zeros(150 * 100 * 3, dtype=np.uint8).tobytes()531 pipe.return_value.stdout.read.return_value = empty_frame532 ll = mio.import_video("fake_image_being_mocked.avi", normalize=False)533 assert ll.path.name == "fake_image_being_mocked.avi"534 assert ll.fps == 5535 assert len(ll) == 5 * 2536 image = ll[0]537 assert image.shape == ((150, 100))538 assert image.n_channels == 3539 assert image.pixels.dtype == np.uint8540@patch("subprocess.Popen")541@patch("menpo.io.input.video.video_infos_ffprobe")542@patch("menpo.io.input.base.Path.is_file")543def test_importing_ffmpeg_avi_normalize(is_file, video_infos_ffprobe, pipe):544 video_infos_ffprobe.return_value = {545 "duration": 2,546 "width": 100,547 "height": 150,548 "n_frames": 10,549 "fps": 5,550 }551 is_file.return_value = True552 empty_frame = np.zeros(150 * 100 * 3, dtype=np.uint8).tobytes()553 pipe.return_value.stdout.read.return_value = empty_frame554 ll = mio.import_video("fake_image_being_mocked.avi", normalize=True)555 assert ll.path.name == "fake_image_being_mocked.avi"556 assert ll.fps == 5557 assert len(ll) == 5 * 2558 image = ll[0]559 assert image.shape == (150, 100)560 assert image.n_channels == 3561 assert image.pixels.dtype == float562@patch("menpo.io.input.video.video_infos_ffprobe")563@patch("menpo.io.input.base.Path.is_file")564def test_importing_ffmpeg_exact_frame_count_no_ffprobe(is_file, video_infos_ffprobe):565 video_infos_ffprobe.side_effect = ValueError566 is_file.return_value = True567 with raises(ValueError):568 mio.import_video(569 "fake_image_being_mocked.avi", normalize=True, exact_frame_count=True570 )571@patch("subprocess.Popen")572@patch("menpo.io.input.video.video_infos_ffprobe")573@patch("menpo.io.input.video.video_infos_ffmpeg")574@patch("menpo.io.input.base.Path.is_file")575def test_importing_ffmpeg_no_exact_frame_count_no_ffprobe(576 is_file, video_infos_ffmpeg, video_infos_ffprobe, pipe577):578 video_infos_ffprobe.side_effect = ValueError579 video_infos_ffmpeg.return_value = {580 "duration": 2,581 "width": 100,582 "height": 150,583 "n_frames": 10,584 "fps": 5,585 }586 is_file.return_value = True587 empty_frame = np.zeros(150 * 100 * 3, dtype=np.uint8).tobytes()588 pipe.return_value.stdout.read.return_value = empty_frame589 ll = mio.import_video(590 "fake_image_being_mocked.avi", normalize=True, exact_frame_count=False591 )592 assert ll.path.name == "fake_image_being_mocked.avi"593 assert ll.fps == 5594 assert len(ll) == 5 * 2595 image = ll[0]596 assert image.shape == (150, 100)597 assert image.n_channels == 3598 assert image.pixels.dtype == float599def test_import_images_negative_max_images():600 with raises(ValueError):601 list(mio.import_images(mio.data_dir_path(), max_images=-2))602def test_import_images_zero_max_images():603 with raises(ValueError):604 # different since the conditional 'if max_assets' is skipped,605 # thus all images might be imported.606 list(mio.import_images(mio.data_dir_path(), max_images=0))607# TODO: remove once the normalise argument is removed.608def test_import_image_deprecated_normalise_kwarg():609 with warnings.catch_warnings(record=True) as w:610 img = mio.import_builtin_asset("breakingbad.jpg", normalise=False)611 assert len(w) == 1612 assert img.pixels.dtype == np.uint8613@patch("menpo.io.input.base.Path.is_file")614def test_register_image_importer(is_file):615 from menpo.image import Image616 image = Image.init_blank((10, 10))617 def foo_importer(filepath, **kwargs):618 return image619 is_file.return_value = True620 with patch.dict(mio.input.extensions.image_types, {}, clear=True):621 mio.register_image_importer(".foo", foo_importer)622 new_image = mio.import_image("fake.foo")623 assert image is new_image624@patch("menpo.io.input.base.Path.is_file")625def test_register_landmark_importer(is_file):626 from menpo.shape import PointCloud627 lmark = PointCloud.init_2d_grid((1, 1))628 def foo_importer(filepath, **kwargs):629 return lmark630 is_file.return_value = True631 with patch.dict(mio.input.extensions.image_landmark_types, {}, clear=True):632 mio.register_landmark_importer(".foo", foo_importer)633 new_lmark = mio.import_landmark_file("fake.foo")634 assert lmark is new_lmark635@patch("menpo.io.input.base.Path.is_file")636def test_register_video_importer(is_file):637 from menpo.image import Image638 from menpo.base import LazyList639 def foo_importer(filepath, **kwargs):640 return LazyList([lambda: Image.init_blank((10, 10))])641 is_file.return_value = True642 with patch.dict(mio.input.extensions.ffmpeg_video_types, {}, clear=True):643 mio.register_video_importer(".foo", foo_importer)644 new_video = mio.import_video("fake.foo")645 assert len(new_video) == 1646@patch("menpo.io.input.base.Path.is_file")647def test_register_pickle_importer(is_file):648 obj = object()649 def foo_importer(filepath, **kwargs):650 return obj651 is_file.return_value = True652 with patch.dict(mio.input.extensions.pickle_types, {}, clear=True):653 mio.register_pickle_importer(".foo", foo_importer)654 new_obj = mio.import_pickle("fake.foo")655 assert new_obj is obj656def test_register_no_leading_period():657 ext_map = {}658 mio.input.base._register_importer(ext_map, "foo", lambda x: x)659 assert ".foo" in ext_map...
contenthandling.py
Source:contenthandling.py
1import os2import sys3from . import parsing4from .parsing import *5# Python 2/3 switches6PYTHON_MAJOR_VERSION = sys.version_info[0]7if PYTHON_MAJOR_VERSION > 2:8 from past.builtins import basestring9"""10Encapsulates contend handling logic, for pulling file content into tests11"""12class ContentHandler:13 """ Handles content that may be (lazily) read from filesystem and/or templated to various degrees14 Also creates pixie dust and unicorn farts on demand15 This is pulled out because logic gets complex rather fast16 Covers 6 states:17 - Inline body content, no templating18 - Inline body content, with templating19 - File path to content, NO templating20 - File path to content, content gets templated21 - Templated path to file content (path itself is templated), file content UNtemplated22 - Templated path to file content (path itself is templated), file content TEMPLATED23 """24 content = None # Inline content25 is_file = False26 is_template_path = False27 is_template_content = False28 def is_dynamic(self):29 """ Is templating used? """30 return self.is_template_path or self.is_template_content31 def get_content(self, context=None):32 """ Does all context binding and pathing to get content, templated out """33 if self.is_file:34 path = self.content35 if self.is_template_path and context:36 path = string.Template(path).safe_substitute(37 context.get_values())38 data = None39 with open(path, 'r') as f:40 data = f.read()41 if self.is_template_content and context:42 return string.Template(data).safe_substitute(context.get_values())43 else:44 return data45 else:46 if self.is_template_content and context:47 return safe_substitute_unicode_template(self.content, context.get_values())48 else:49 return self.content50 def create_noread_version(self):51 """ Read file content if it is static and return content handler with no I/O """52 if not self.is_file or self.is_template_path:53 return self54 output = ContentHandler()55 output.is_template_content = self.is_template_content56 with open(self.content, 'r') as f:57 output.content = f.read()58 return output59 def setup(self, input, is_file=False, is_template_path=False, is_template_content=False):60 """ Self explanatory, input is inline content or file path. """61 if not isinstance(input, basestring):62 raise TypeError("Input is not a string")63 if is_file:64 input = os.path.abspath(input)65 self.content = input66 self.is_file = is_file67 self.is_template_path = is_template_path68 self.is_template_content = is_template_content69 @staticmethod70 def parse_content(node):71 """ Parse content from input node and returns ContentHandler object72 it'll look like:73 - template:74 - file:75 - temple: path76 or something77 """78 # Tread carefully, this one is a bit narly because of nesting79 output = ContentHandler()80 is_template_path = False81 is_template_content = False82 is_file = False83 is_done = False84 while (node and not is_done): # Dive through the configuration tree85 # Finally we've found the value!86 if isinstance(node, basestring):87 output.content = node88 output.setup(node, is_file=is_file, is_template_path=is_template_path,89 is_template_content=is_template_content)90 return output91 elif not isinstance(node, dict) and not isinstance(node, list):92 raise TypeError(93 "Content must be a string, dictionary, or list of dictionaries")94 is_done = True95 # Dictionary or list of dictionaries96 flat = lowercase_keys(flatten_dictionaries(node))97 for key, value in flat.items():98 if key == u'template':99 if isinstance(value, basestring):100 if is_file:101 value = os.path.abspath(value)102 output.content = value103 is_template_content = is_template_content or not is_file104 output.is_template_content = is_template_content105 output.is_template_path = is_file106 output.is_file = is_file107 return output108 else:109 is_template_content = True110 node = value111 is_done = False112 break113 elif key == 'file':114 if isinstance(value, basestring):115 output.content = os.path.abspath(value)116 output.is_file = True117 output.is_template_content = is_template_content118 return output119 else:120 is_file = True121 node = value122 is_done = False123 break...
project.py
Source:project.py
...7 https://help.github.com/en/github/visualizing-repository-data-with-graphs/8 listing-the-packages-that-a-repository-depends-on#supported-package-ecosystems9 """10 cmfn = path / "codemeta.json"11 if cmfn.is_file():12 try:13 meta = json.loads(cmfn.read_text(errors="ignore"))14 if "programmingLanguage" in meta:15 return [L.lower() for L in meta["programmingLanguage"]]16 except json.decoder.JSONDecodeError:17 pass18 # fallback to heuristic19 if (path / "pyproject.toml").is_file() or (path / "pipfile.lock").is_file():20 return ["python"]21 if (path / "package-lock.json").is_file() or (path / "yarn.lock").is_file():22 return ["javascript"]23 if (path / "composer.lock").is_file():24 return ["php"]25 if (path / "Gemfile.lock").is_file():26 return ["ruby"]...
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