gentoo auto-resync : 25:12:2023 - 13:34:50

2 files changed, 0 insertions, 484 deletions

diff --git a/sci-libs/datasets/files/datasets-2.11.0-tests.patch b/sci-libs/datasets/files/datasets-2.11.0-tests.patch
deleted file mode 100644
index e105c01bc63b..000000000000
--- a/sci-libs/datasets/files/datasets-2.11.0-tests.patch
+++ /dev/null
@@ -1,242 +0,0 @@
---- a/tests/test_metric_common.py	2023-05-04 18:48:48.550861318 +0200
-+++ b/tests/test_metric_common.py	2023-05-04 18:50:25.787364577 +0200
-@@ -93,6 +93,7 @@
-     INTENSIVE_CALLS_PATCHER = {}
-     metric_name = None
- 
-+    @pytest.mark.skip(reason="disabling, depends on bert_score, bleurt, math_equivalence, coval, nltk, faiss, mauve, rouge_score, sacrebleu, sacremoses ...")
-     def test_load_metric(self, metric_name):
-         doctest.ELLIPSIS_MARKER = "[...]"
-         metric_module = importlib.import_module(
---- a/tests/test_hf_gcp.py	2023-05-04 19:33:31.150825303 +0200
-+++ b/tests/test_hf_gcp.py	2023-05-04 19:40:08.401759538 +0200
-@@ -69,6 +69,7 @@
-             self.assertTrue(os.path.exists(datset_info_path))
- 
- 
-+@pytest.mark.skip(reason="require apache_beam")
- @pytest.mark.integration
- def test_wikipedia_frr(tmp_path_factory):
-     tmp_dir = tmp_path_factory.mktemp("test_hf_gcp") / "test_wikipedia_simple"
---- a/tests/test_distributed.py	2023-05-04 19:43:09.861275030 +0200
-+++ b/tests/test_distributed.py	2023-05-04 19:44:17.608326722 +0200
-@@ -55,6 +55,7 @@
-     assert len({tuple(x.values()) for ds in datasets_per_rank for x in ds}) == full_size
- 
- 
-+@pytest.mark.skip(reason="require distributed torch")
- @pytest.mark.parametrize("streaming", [False, True])
- @require_torch
- @pytest.mark.skipif(os.name == "nt", reason="execute_subprocess_async doesn't support windows")
-@@ -76,6 +77,7 @@
-     execute_subprocess_async(cmd, env=os.environ.copy())
- 
- 
-+@pytest.mark.skip(reason="require distributed torch")
- @pytest.mark.parametrize(
-     "nproc_per_node, num_workers",
-     [
---- a/tests/utils.py	2023-05-06 08:43:16.251987543 +0200
-+++ b/tests/utils.py	2023-05-06 08:44:24.467952870 +0200
-@@ -54,8 +54,8 @@
- # Audio
- require_sndfile = pytest.mark.skipif(
-     # On Windows and OS X, soundfile installs sndfile
--    find_spec("soundfile") is None or version.parse(importlib_metadata.version("soundfile")) < version.parse("0.12.0"),
--    reason="test requires sndfile>=0.12.1: 'pip install \"soundfile>=0.12.1\"'; ",
-+    True,
-+    reason="test requires librosa",
- )
- 
- # Beam
---- a/tests/features/test_audio.py	2023-05-06 09:03:58.680108142 +0200
-+++ a/tests/features/test_audio.py	2023-05-06 09:05:50.463407967 +0200
-@@ -57,6 +57,7 @@
-     assert features.arrow_schema == pa.schema({"sequence_of_audios": pa.list_(Audio().pa_type)})
- 
- 
-+@pytest.mark.skip(reason="require librosa")
- @pytest.mark.parametrize(
-     "build_example",
-     [
-@@ -81,6 +82,7 @@
-     assert decoded_example.keys() == {"path", "array", "sampling_rate"}
- 
- 
-+@pytest.mark.skip(reason="require librosa")
- @pytest.mark.parametrize(
-     "build_example",
-     [
-@@ -148,6 +149,7 @@
-     assert decoded_example["sampling_rate"] == 48000
- 
- 
-+@pytest.mark.skip(reason="require librosa")
- @pytest.mark.parametrize("sampling_rate", [16_000, 48_000])
- def test_audio_decode_example_pcm(shared_datadir, sampling_rate):
-     audio_path = str(shared_datadir / "test_audio_16000.pcm")
-@@ -414,6 +417,7 @@
-     assert column[0]["sampling_rate"] == 16000
- 
- 
-+@pytest.mark.skip(reason="require librosa")
- @pytest.mark.parametrize(
-     "build_data",
-     [
-@@ -438,6 +442,7 @@
-     assert item["audio"].keys() == {"path", "array", "sampling_rate"}
- 
- 
-+@pytest.mark.skip(reason="require librosa")
- def test_dataset_concatenate_audio_features(shared_datadir):
-     # we use a different data structure between 1 and 2 to make sure they are compatible with each other
-     audio_path = str(shared_datadir / "test_audio_44100.wav")
-@@ -451,6 +456,7 @@
-     assert concatenated_dataset[1]["audio"]["array"].shape == dset2[0]["audio"]["array"].shape
- 
- 
-+@pytest.mark.skip(reason="require librosa")
- def test_dataset_concatenate_nested_audio_features(shared_datadir):
-     # we use a different data structure between 1 and 2 to make sure they are compatible with each other
-     audio_path = str(shared_datadir / "test_audio_44100.wav")
-@@ -610,6 +616,7 @@
-     assert isinstance(ds, Dataset)
- 
- 
-+@require_sndfile
- def test_dataset_with_audio_feature_undecoded(shared_datadir):
-     audio_path = str(shared_datadir / "test_audio_44100.wav")
-     data = {"audio": [audio_path]}
-@@ -627,6 +634,7 @@
-     assert column[0] == {"path": audio_path, "bytes": None}
- 
- 
-+@require_sndfile
- def test_formatted_dataset_with_audio_feature_undecoded(shared_datadir):
-     audio_path = str(shared_datadir / "test_audio_44100.wav")
-     data = {"audio": [audio_path]}
-@@ -658,6 +666,7 @@
-         assert column[0] == {"path": audio_path, "bytes": None}
- 
- 
-+@require_sndfile
- def test_dataset_with_audio_feature_map_undecoded(shared_datadir):
-     audio_path = str(shared_datadir / "test_audio_44100.wav")
-     data = {"audio": [audio_path]}
---- a/tests/packaged_modules/test_audiofolder.py	2023-05-06 14:00:39.560876163 +0200
-+++ b/tests/packaged_modules/test_audiofolder.py	2023-05-06 14:01:26.005212423 +0200
-@@ -1,10 +1,8 @@
- import shutil
- import textwrap
- 
--import librosa
- import numpy as np
- import pytest
--import soundfile as sf
- 
- from datasets import Audio, ClassLabel, Features, Value
- from datasets.data_files import DataFilesDict, get_data_patterns_locally
-@@ -192,8 +190,11 @@
-     return data_files_with_two_splits_and_metadata
- 
- 
-+@pytest.mark.skip(reason="require soundfile")
- @pytest.fixture
- def data_files_with_zip_archives(tmp_path, audio_file):
-+    import soundfile as sf
-+    import librosa
-     data_dir = tmp_path / "audiofolder_data_dir_with_zip_archives"
-     data_dir.mkdir(parents=True, exist_ok=True)
-     archive_dir = data_dir / "archive"
---- a/tests/test_arrow_dataset.py	2023-05-06 15:36:11.080459079 +0200
-+++ b/tests/test_arrow_dataset.py	2023-05-06 15:38:07.452828528 +0200
-@@ -3928,6 +3928,7 @@
-                 )
-                 self.assertDictEqual(features_after_cast, dset.features)
- 
-+    @pytest.mark.skip(reason="require soundfile")
-     def test_task_automatic_speech_recognition(self):
-         # Include a dummy extra column `dummy` to test we drop it correctly
-         features_before_cast = Features(
---- a/tests/test_streaming_download_manager.py	2023-05-15 23:06:59.146379973 +0200
-+++ b/tests/test_streaming_download_manager.py	2023-05-15 23:11:32.441363757 +0200
-@@ -217,6 +217,7 @@
-     assert output_path == _readd_double_slash_removed_by_path(Path(expected_path).as_posix())
- 
- 
-+@pytest.mark.skip(reason="not working in sandbox")
- @pytest.mark.parametrize(
-     "input_path, exists",
-     [
-@@ -299,6 +300,7 @@
-         assert list(f) == TEST_URL_CONTENT.splitlines(keepends=True)
- 
- 
-+@pytest.mark.skip(reason="not working in sandbox")
- @pytest.mark.parametrize(
-     "input_path, expected_paths",
-     [
-@@ -328,6 +330,7 @@
-         xlistdir(root_url, use_auth_token=hf_token)
- 
- 
-+@pytest.mark.skip(reason="not working in sandbox")
- @pytest.mark.parametrize(
-     "input_path, isdir",
-     [
-@@ -355,6 +358,7 @@
-         xisdir(root_url, use_auth_token=hf_token)
- 
- 
-+@pytest.mark.skip(reason="not working in sandbox")
- @pytest.mark.parametrize(
-     "input_path, isfile",
-     [
-@@ -378,6 +382,7 @@
-     assert xisfile(root_url + "qwertyuiop", use_auth_token=hf_token) is False
- 
- 
-+@pytest.mark.skip(reason="not working in sandbox")
- @pytest.mark.parametrize(
-     "input_path, size",
-     [
-@@ -402,6 +407,7 @@
-         xgetsize(root_url + "qwertyuiop", use_auth_token=hf_token)
- 
- 
-+@pytest.mark.skip(reason="not working in sandbox")
- @pytest.mark.parametrize(
-     "input_path, expected_paths",
-     [
-@@ -444,6 +450,7 @@
-     assert len(xglob("zip://qwertyuiop/*::" + root_url, use_auth_token=hf_token)) == 0
- 
- 
-+@pytest.mark.skip(reason="not working in sandbox")
- @pytest.mark.parametrize(
-     "input_path, expected_outputs",
-     [
-@@ -533,6 +540,7 @@
-     def test_xpath_as_posix(self, input_path, expected_path):
-         assert xPath(input_path).as_posix() == expected_path
- 
-+    @pytest.mark.skip(reason="not working in sandbox")
-     @pytest.mark.parametrize(
-         "input_path, exists",
-         [
-@@ -548,6 +556,7 @@
-             (tmp_path / "file.txt").touch()
-         assert xexists(input_path) is exists
- 
-+    @pytest.mark.skip(reason="not working in sandbox")
-     @pytest.mark.parametrize(
-         "input_path, pattern, expected_paths",
-         [
-@@ -586,6 +595,7 @@
-         output_paths = sorted(xPath(input_path).glob(pattern))
-         assert output_paths == expected_paths
- 
-+    @pytest.mark.skip(reason="not working in sandbox")
-     @pytest.mark.parametrize(
-         "input_path, pattern, expected_paths",
-         [
diff --git a/sci-libs/datasets/files/datasets-2.12.0-tests.patch b/sci-libs/datasets/files/datasets-2.12.0-tests.patch
deleted file mode 100644
index 6be3156bb70d..000000000000
--- a/sci-libs/datasets/files/datasets-2.12.0-tests.patch
+++ /dev/null
@@ -1,242 +0,0 @@
---- a/tests/test_metric_common.py	2023-05-04 18:48:48.550861318 +0200
-+++ b/tests/test_metric_common.py	2023-05-04 18:50:25.787364577 +0200
-@@ -93,6 +93,7 @@
-     INTENSIVE_CALLS_PATCHER = {}
-     metric_name = None
- 
-+    @pytest.mark.skip(reason="disabling, depends on bert_score, bleurt, math_equivalence, coval, nltk, faiss, mauve, rouge_score, sacrebleu, sacremoses ...")
-     @pytest.mark.filterwarnings("ignore:metric_module_factory is deprecated:FutureWarning")
-     @pytest.mark.filterwarnings("ignore:load_metric is deprecated:FutureWarning")
-     def test_load_metric(self, metric_name):
---- a/tests/test_hf_gcp.py	2023-05-04 19:33:31.150825303 +0200
-+++ b/tests/test_hf_gcp.py	2023-05-04 19:40:08.401759538 +0200
-@@ -75,6 +75,7 @@
-             self.assertTrue(os.path.exists(datset_info_path))
- 
- 
-+@pytest.mark.skip(reason="require apache_beam")
- @pytest.mark.integration
- def test_as_dataset_from_hf_gcs(tmp_path_factory):
-     tmp_dir = tmp_path_factory.mktemp("test_hf_gcp") / "test_wikipedia_simple"
---- a/tests/test_distributed.py	2023-05-04 19:43:09.861275030 +0200
-+++ b/tests/test_distributed.py	2023-05-04 19:44:17.608326722 +0200
-@@ -74,6 +74,7 @@
-         split_dataset_by_node(full_ds.shuffle(), rank=0, world_size=world_size)
- 
- 
-+@pytest.mark.skip(reason="require distributed torch")
- @pytest.mark.parametrize("streaming", [False, True])
- @require_torch
- @pytest.mark.skipif(os.name == "nt", reason="execute_subprocess_async doesn't support windows")
-@@ -95,6 +96,7 @@
-     execute_subprocess_async(cmd, env=os.environ.copy())
- 
- 
-+@pytest.mark.skip(reason="require distributed torch")
- @pytest.mark.parametrize(
-     "nproc_per_node, num_workers",
-     [
---- a/tests/utils.py	2023-05-06 08:43:16.251987543 +0200
-+++ b/tests/utils.py	2023-05-06 08:44:24.467952870 +0200
-@@ -55,8 +55,8 @@
- # Audio
- require_sndfile = pytest.mark.skipif(
-     # On Windows and OS X, soundfile installs sndfile
--    find_spec("soundfile") is None or version.parse(importlib_metadata.version("soundfile")) < version.parse("0.12.0"),
--    reason="test requires sndfile>=0.12.1: 'pip install \"soundfile>=0.12.1\"'; ",
-+    True,
-+    reason="test requires librosa",
- )
- 
- # Beam
---- a/tests/features/test_audio.py	2023-05-06 09:03:58.680108142 +0200
-+++ a/tests/features/test_audio.py	2023-05-06 09:05:50.463407967 +0200
-@@ -57,6 +57,7 @@
-     assert features.arrow_schema == pa.schema({"sequence_of_audios": pa.list_(Audio().pa_type)})
- 
- 
-+@pytest.mark.skip(reason="require librosa")
- @pytest.mark.parametrize(
-     "build_example",
-     [
-@@ -81,6 +82,7 @@
-     assert decoded_example.keys() == {"path", "array", "sampling_rate"}
- 
- 
-+@pytest.mark.skip(reason="require librosa")
- @pytest.mark.parametrize(
-     "build_example",
-     [
-@@ -148,6 +149,7 @@
-     assert decoded_example["sampling_rate"] == 48000
- 
- 
-+@pytest.mark.skip(reason="require librosa")
- @pytest.mark.parametrize("sampling_rate", [16_000, 48_000])
- def test_audio_decode_example_pcm(shared_datadir, sampling_rate):
-     audio_path = str(shared_datadir / "test_audio_16000.pcm")
-@@ -414,6 +417,7 @@
-     assert column[0]["sampling_rate"] == 16000
- 
- 
-+@pytest.mark.skip(reason="require librosa")
- @pytest.mark.parametrize(
-     "build_data",
-     [
-@@ -438,6 +442,7 @@
-     assert item["audio"].keys() == {"path", "array", "sampling_rate"}
- 
- 
-+@pytest.mark.skip(reason="require librosa")
- def test_dataset_concatenate_audio_features(shared_datadir):
-     # we use a different data structure between 1 and 2 to make sure they are compatible with each other
-     audio_path = str(shared_datadir / "test_audio_44100.wav")
-@@ -451,6 +456,7 @@
-     assert concatenated_dataset[1]["audio"]["array"].shape == dset2[0]["audio"]["array"].shape
- 
- 
-+@pytest.mark.skip(reason="require librosa")
- def test_dataset_concatenate_nested_audio_features(shared_datadir):
-     # we use a different data structure between 1 and 2 to make sure they are compatible with each other
-     audio_path = str(shared_datadir / "test_audio_44100.wav")
-@@ -610,6 +616,7 @@
-     assert isinstance(ds, Dataset)
- 
- 
-+@require_sndfile
- def test_dataset_with_audio_feature_undecoded(shared_datadir):
-     audio_path = str(shared_datadir / "test_audio_44100.wav")
-     data = {"audio": [audio_path]}
-@@ -627,6 +634,7 @@
-     assert column[0] == {"path": audio_path, "bytes": None}
- 
- 
-+@require_sndfile
- def test_formatted_dataset_with_audio_feature_undecoded(shared_datadir):
-     audio_path = str(shared_datadir / "test_audio_44100.wav")
-     data = {"audio": [audio_path]}
-@@ -658,6 +666,7 @@
-         assert column[0] == {"path": audio_path, "bytes": None}
- 
- 
-+@require_sndfile
- def test_dataset_with_audio_feature_map_undecoded(shared_datadir):
-     audio_path = str(shared_datadir / "test_audio_44100.wav")
-     data = {"audio": [audio_path]}
---- a/tests/packaged_modules/test_audiofolder.py	2023-05-06 14:00:39.560876163 +0200
-+++ b/tests/packaged_modules/test_audiofolder.py	2023-05-06 14:01:26.005212423 +0200
-@@ -1,10 +1,8 @@
- import shutil
- import textwrap
- 
--import librosa
- import numpy as np
- import pytest
--import soundfile as sf
- 
- from datasets import Audio, ClassLabel, Features, Value
- from datasets.data_files import DataFilesDict, get_data_patterns_locally
-@@ -192,8 +190,11 @@
-     return data_files_with_two_splits_and_metadata
- 
- 
-+@pytest.mark.skip(reason="require soundfile")
- @pytest.fixture
- def data_files_with_zip_archives(tmp_path, audio_file):
-+    import soundfile as sf
-+    import librosa
-     data_dir = tmp_path / "audiofolder_data_dir_with_zip_archives"
-     data_dir.mkdir(parents=True, exist_ok=True)
-     archive_dir = data_dir / "archive"
---- a/tests/test_arrow_dataset.py	2023-05-06 15:36:11.080459079 +0200
-+++ b/tests/test_arrow_dataset.py	2023-05-06 15:38:07.452828528 +0200
-@@ -3983,6 +3983,7 @@
-                 )
-                 self.assertDictEqual(features_after_cast, dset.features)
- 
-+    @pytest.mark.skip(reason="require soundfile")
-     def test_task_automatic_speech_recognition(self):
-         # Include a dummy extra column `dummy` to test we drop it correctly
-         features_before_cast = Features(
---- a/tests/test_streaming_download_manager.py	2023-05-15 23:06:59.146379973 +0200
-+++ b/tests/test_streaming_download_manager.py	2023-05-15 23:11:32.441363757 +0200
-@@ -217,6 +217,7 @@
-     assert output_path == _readd_double_slash_removed_by_path(Path(expected_path).as_posix())
- 
- 
-+@pytest.mark.skip(reason="not working in sandbox")
- @pytest.mark.parametrize(
-     "input_path, exists",
-     [
-@@ -299,6 +300,7 @@
-         assert list(f) == TEST_URL_CONTENT.splitlines(keepends=True)
- 
- 
-+@pytest.mark.skip(reason="not working in sandbox")
- @pytest.mark.parametrize(
-     "input_path, expected_paths",
-     [
-@@ -328,6 +330,7 @@
-         xlistdir(root_url, use_auth_token=hf_token)
- 
- 
-+@pytest.mark.skip(reason="not working in sandbox")
- @pytest.mark.parametrize(
-     "input_path, isdir",
-     [
-@@ -355,6 +358,7 @@
-         xisdir(root_url, use_auth_token=hf_token)
- 
- 
-+@pytest.mark.skip(reason="not working in sandbox")
- @pytest.mark.parametrize(
-     "input_path, isfile",
-     [
-@@ -378,6 +382,7 @@
-     assert xisfile(root_url + "qwertyuiop", use_auth_token=hf_token) is False
- 
- 
-+@pytest.mark.skip(reason="not working in sandbox")
- @pytest.mark.parametrize(
-     "input_path, size",
-     [
-@@ -402,6 +407,7 @@
-         xgetsize(root_url + "qwertyuiop", use_auth_token=hf_token)
- 
- 
-+@pytest.mark.skip(reason="not working in sandbox")
- @pytest.mark.parametrize(
-     "input_path, expected_paths",
-     [
-@@ -444,6 +450,7 @@
-     assert len(xglob("zip://qwertyuiop/*::" + root_url, use_auth_token=hf_token)) == 0
- 
- 
-+@pytest.mark.skip(reason="not working in sandbox")
- @pytest.mark.parametrize(
-     "input_path, expected_outputs",
-     [
-@@ -533,6 +540,7 @@
-     def test_xpath_as_posix(self, input_path, expected_path):
-         assert xPath(input_path).as_posix() == expected_path
- 
-+    @pytest.mark.skip(reason="not working in sandbox")
-     @pytest.mark.parametrize(
-         "input_path, exists",
-         [
-@@ -548,6 +556,7 @@
-             (tmp_path / "file.txt").touch()
-         assert xexists(input_path) is exists
- 
-+    @pytest.mark.skip(reason="not working in sandbox")
-     @pytest.mark.parametrize(
-         "input_path, pattern, expected_paths",
-         [
-@@ -586,6 +595,7 @@
-         output_paths = sorted(xPath(input_path).glob(pattern))
-         assert output_paths == expected_paths
- 
-+    @pytest.mark.skip(reason="not working in sandbox")
-     @pytest.mark.parametrize(
-         "input_path, pattern, expected_paths",
-         [