sci-libs/datasets: add 2.14.4

Signed-off-by: Alfredo Tupone <tupone@gentoo.org>

3 files changed, 302 insertions, 0 deletions

diff --git a/sci-libs/datasets/Manifest b/sci-libs/datasets/Manifest
index 5895ad1a2004..ac1dc508ab82 100644
--- a/sci-libs/datasets/Manifest
+++ b/sci-libs/datasets/Manifest
@@ -1,3 +1,4 @@
 DIST datasets-2.11.0.gh.tar.gz 2141289 BLAKE2B 0fb471dd6ee5de3831eb6586c4a15e67381262470b72d5ab02ee87dfc7977cb4d40e04da6507049d1e47cb8948cad11988bb7627293b48231e1cd413d2cfb885 SHA512 9ec2274d7978e3dde1b2f8ce78dd65bdf66742bbfee7b8672af46216aeaae3ef5c4604a8a5ea0bdee808f1c362cca9a122c16d2e9a161678148e581e4cd5c863
 DIST datasets-2.12.0.gh.tar.gz 2149274 BLAKE2B 8f188901dfe293ac2b673f37e0d135e01a8f131adf9030ef1815ce2faa7ba0b36faf64a002cae1ced2d3ed5b7f50f43ba5cda90ab9254fd5f66bbfaed6085f3f SHA512 7389a1c6ee8ff4cda39a2c3f52218aa6f4b1cd6b45f48f83bfa2191359a8999d54153120d968b3cf7e5e932f88822783578e3d859dcb20f38fb0d915d88220c9
 DIST datasets-2.13.1.gh.tar.gz 2166516 BLAKE2B 2269434b94145837e491ec6784218f6972df94a558b9067020076fb44dd937a103e3c57dd3761bb0a4cb3c3b6248299ec2a6c3f03c5bd016daaa8957591bf7b6 SHA512 3d2d1aad86b6a472cd6d0e6c661d4730cc0ed1a0fff55c739fc6a0ba68a8f53ae8789029553abd713d0b30648dd020f1880b2d8110c72b5c89a320c2b24f7752
+DIST datasets-2.14.4.gh.tar.gz 2142214 BLAKE2B d4c98a9f29ca748c3c20f32b9a89f053cf6327f56353341ba0073d3b5561ed9aea372d2fa74cadfa8b0f2ba0f6c2e9b3181cca9724719cfe3969f36bbb893f11 SHA512 c3a0701dd83474f4a0d839fe4ef56cfccc9f1d45b6506d44d0f9100bc9dbc90014d16c8e0090dc13f3b2d963bd96af45281bde6e3d7af230467ec7dd26204aa3
diff --git a/sci-libs/datasets/datasets-2.14.4.ebuild b/sci-libs/datasets/datasets-2.14.4.ebuild
new file mode 100644
index 000000000000..08ed796e9c2d
--- /dev/null
+++ b/sci-libs/datasets/datasets-2.14.4.ebuild
@@ -0,0 +1,59 @@
+# Copyright 2023 Gentoo Authors
+# Distributed under the terms of the GNU General Public License v2
+
+EAPI=8
+
+DISTUTILS_USE_PEP517=setuptools
+PYTHON_COMPAT=( python3_{9..11} )
+DISTUTILS_SINGLE_IMPL=1
+inherit distutils-r1
+
+DESCRIPTION="Access and share datasets for Audio, Computer Vision, and NLP tasks"
+HOMEPAGE="
+	https://pypi.org/project/datasets/
+"
+SRC_URI="https://github.com/huggingface/${PN}/archive/refs/tags/${PV}.tar.gz
+	-> ${P}.gh.tar.gz"
+IUSE="test"
+
+LICENSE="Apache-2.0"
+SLOT="0"
+KEYWORDS="~amd64"
+
+RDEPEND="
+	${PYTHON_DEPS}
+	sci-libs/pytorch[${PYTHON_SINGLE_USEDEP}]
+	$(python_gen_cond_dep '
+		dev-python/absl-py[${PYTHON_USEDEP}]
+		dev-python/aiohttp[${PYTHON_USEDEP}]
+		dev-python/fsspec[${PYTHON_USEDEP}]
+		dev-python/multiprocess[${PYTHON_USEDEP}]
+		dev-python/pandas[${PYTHON_USEDEP}]
+		dev-python/pyarrow[${PYTHON_USEDEP},parquet,snappy]
+		dev-python/tqdm[${PYTHON_USEDEP}]
+		dev-python/xxhash[${PYTHON_USEDEP}]
+		dev-python/zstandard[${PYTHON_USEDEP}]
+		sci-libs/huggingface_hub[${PYTHON_USEDEP}]
+		sci-libs/scikit-learn[${PYTHON_USEDEP}]
+	')
+"
+DEPEND="${RDEPEND}"
+BDEPEND="test? (
+	$(python_gen_cond_dep '
+		dev-python/pytest-datadir[${PYTHON_USEDEP}]
+		dev-python/decorator[${PYTHON_USEDEP}]
+		=dev-python/sqlalchemy-1*[${PYTHON_USEDEP}]
+		sci-libs/jiwer[${PYTHON_USEDEP}]
+		sci-libs/seqeval[${PYTHON_USEDEP}]
+	')
+)"
+
+PATCHES=( "${FILESDIR}"/${P}-tests.patch )
+
+distutils_enable_tests pytest
+
+src_prepare() {
+	distutils-r1_src_prepare
+	rm tests/packaged_modules/test_spark.py || die
+	rm tests/test_upstream_hub.py || die
+}
diff --git a/sci-libs/datasets/files/datasets-2.14.4-tests.patch b/sci-libs/datasets/files/datasets-2.14.4-tests.patch
new file mode 100644
index 000000000000..5dd322309b20
--- /dev/null
+++ b/sci-libs/datasets/files/datasets-2.14.4-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
+@@ -50,8 +50,8 @@
+ # 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
+@@ -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
+@@ -4136,6 +4136,7 @@
+                 )
+                 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	2023-08-26 07:33:41.937389401 +0200
++++ b/tests/test_streaming_download_manager.py	2023-08-26 07:37:22.521218698 +0200
+@@ -218,6 +218,7 @@
+     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",
+     [
+@@ -301,6 +302,7 @@
+         assert list(f) == TEST_URL_CONTENT.splitlines(keepends=True)
+ 
+ 
++@pytest.mark.skip(reason="not working in sandbox")
+ @pytest.mark.parametrize(
+     "input_path, expected_paths",
+     [
+@@ -331,6 +333,7 @@
+         xlistdir(root_url, download_config=download_config)
+ 
+ 
++@pytest.mark.skip(reason="not working in sandbox")
+ @pytest.mark.parametrize(
+     "input_path, isdir",
+     [
+@@ -358,6 +361,7 @@
+     assert xisdir(root_url, download_config=download_config) is False
+ 
+ 
++@pytest.mark.skip(reason="not working in sandbox")
+ @pytest.mark.parametrize(
+     "input_path, isfile",
+     [
+@@ -382,6 +386,7 @@
+     assert xisfile(root_url + "qwertyuiop", download_config=download_config) is False
+ 
+ 
++@pytest.mark.skip(reason="not working in sandbox")
+ @pytest.mark.parametrize(
+     "input_path, size",
+     [
+@@ -407,6 +412,7 @@
+         xgetsize(root_url + "qwertyuiop", download_config=download_config)
+ 
+ 
++@pytest.mark.skip(reason="not working in sandbox")
+ @pytest.mark.parametrize(
+     "input_path, expected_paths",
+     [
+@@ -450,6 +456,7 @@
+     assert len(xglob("zip://qwertyuiop/*::" + root_url, download_config=download_config)) == 0
+ 
+ 
++@pytest.mark.skip(reason="not working in sandbox")
+ @pytest.mark.parametrize(
+     "input_path, expected_outputs",
+     [
+@@ -540,6 +547,7 @@
+     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",
+         [
+@@ -555,6 +563,7 @@
+             (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",
+         [
+@@ -593,6 +602,7 @@
+         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",
+         [