gentoo auto-resync : 24:08:2023 - 21:52:33

1 files changed, 242 insertions, 0 deletions

diff --git a/sci-libs/datasets/files/datasets-2.12.0-tests.patch b/sci-libs/datasets/files/datasets-2.12.0-tests.patch
new file mode 100644
index 000000000000..6be3156bb70d
--- /dev/null
+++ b/sci-libs/datasets/files/datasets-2.12.0-tests.patch
@@ -0,0 +1,242 @@
+--- 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",
+         [