codingutf8 2021 huggingface inc licensed under the apache license version 2 0 the license you may not use this file except in compliance with the license you may obtain a copy of the license at http www apache orglicenseslicense2 0 unless required by applicable law or agreed to in writing software distributed under the license is distributed on an as is basis without warranties or conditions of any kind either express or implied see the license for the specific language governing permissions and limitations under the license a mock response for an http head request to emulate server down download this model to make sure it s in the cache under the mock environment we get a 500 error when trying to reach the model this check we did call the fake head request this test is for deprecated behavior and can be removed in v5 reset repo push to hub via savepretrained reset repo push to hub via savepretrained this has added the proper automap field to the config can t make an isinstance check because the newfeatureextractor is from the customfeatureextractor class of a dynamic module coding utf 8 2021 huggingface inc licensed under the apache license version 2 0 the license you may not use this file except in compliance with the license you may obtain a copy of the license at http www apache org licenses license 2 0 unless required by applicable law or agreed to in writing software distributed under the license is distributed on an as is basis without warranties or conditions of any kind either express or implied see the license for the specific language governing permissions and limitations under the license noqa e402 a mock response for an http head request to emulate server down download this model to make sure it s in the cache under the mock environment we get a 500 error when trying to reach the model this check we did call the fake head request this test is for deprecated behavior and can be removed in v5 reset repo push to hub via save_pretrained reset repo push to hub via save_pretrained this has added the proper auto_map field to the config can t make an isinstance check because the new_feature_extractor is from the customfeatureextractor class of a dynamic module
import sys
import tempfile
import unittest
import unittest.mock as mock
from pathlib import Path

from huggingface_hub import HfFolder, delete_repo
from requests.exceptions import HTTPError

from transformers import AutoFeatureExtractor, Wav2Vec2FeatureExtractor
from transformers.testing_utils import TOKEN, USER, get_tests_dir, is_staging_test


sys.path.append(str(Path(__file__).parent.parent / "utils"))

from test_module.custom_feature_extraction import CustomFeatureExtractor  


SAMPLE_FEATURE_EXTRACTION_CONFIG_DIR = get_tests_dir("fixtures")


class FeatureExtractorUtilTester(unittest.TestCase):
    def test_cached_files_are_used_when_internet_is_down(self):
        
        response_mock = mock.Mock()
        response_mock.status_code = 500
        response_mock.headers = {}
        response_mock.raise_for_status.side_effect = HTTPError
        response_mock.json.return_value = {}

        
        _ = Wav2Vec2FeatureExtractor.from_pretrained("hf-internal-testing/tiny-random-wav2vec2")
        
        with mock.patch("requests.Session.request", return_value=response_mock) as mock_head:
            _ = Wav2Vec2FeatureExtractor.from_pretrained("hf-internal-testing/tiny-random-wav2vec2")
            
            mock_head.assert_called()

    def test_legacy_load_from_url(self):
        
        _ = Wav2Vec2FeatureExtractor.from_pretrained(
            "https://huggingface.co/hf-internal-testing/tiny-random-wav2vec2/resolve/main/preprocessor_config.json"
        )


@is_staging_test
class FeatureExtractorPushToHubTester(unittest.TestCase):
    @classmethod
    def setUpClass(cls):
        cls._token = TOKEN
        HfFolder.save_token(TOKEN)

    @classmethod
    def tearDownClass(cls):
        try:
            delete_repo(token=cls._token, repo_id="test-feature-extractor")
        except HTTPError:
            pass

        try:
            delete_repo(token=cls._token, repo_id="valid_org/test-feature-extractor-org")
        except HTTPError:
            pass

        try:
            delete_repo(token=cls._token, repo_id="test-dynamic-feature-extractor")
        except HTTPError:
            pass

    def test_push_to_hub(self):
        feature_extractor = Wav2Vec2FeatureExtractor.from_pretrained(SAMPLE_FEATURE_EXTRACTION_CONFIG_DIR)
        feature_extractor.push_to_hub("test-feature-extractor", token=self._token)

        new_feature_extractor = Wav2Vec2FeatureExtractor.from_pretrained(f"{USER}/test-feature-extractor")
        for k, v in feature_extractor.__dict__.items():
            self.assertEqual(v, getattr(new_feature_extractor, k))

        
        delete_repo(token=self._token, repo_id="test-feature-extractor")

        
        with tempfile.TemporaryDirectory() as tmp_dir:
            feature_extractor.save_pretrained(
                tmp_dir, repo_id="test-feature-extractor", push_to_hub=True, token=self._token
            )

        new_feature_extractor = Wav2Vec2FeatureExtractor.from_pretrained(f"{USER}/test-feature-extractor")
        for k, v in feature_extractor.__dict__.items():
            self.assertEqual(v, getattr(new_feature_extractor, k))

    def test_push_to_hub_in_organization(self):
        feature_extractor = Wav2Vec2FeatureExtractor.from_pretrained(SAMPLE_FEATURE_EXTRACTION_CONFIG_DIR)
        feature_extractor.push_to_hub("valid_org/test-feature-extractor", token=self._token)

        new_feature_extractor = Wav2Vec2FeatureExtractor.from_pretrained("valid_org/test-feature-extractor")
        for k, v in feature_extractor.__dict__.items():
            self.assertEqual(v, getattr(new_feature_extractor, k))

        
        delete_repo(token=self._token, repo_id="valid_org/test-feature-extractor")

        
        with tempfile.TemporaryDirectory() as tmp_dir:
            feature_extractor.save_pretrained(
                tmp_dir, repo_id="valid_org/test-feature-extractor-org", push_to_hub=True, token=self._token
            )

        new_feature_extractor = Wav2Vec2FeatureExtractor.from_pretrained("valid_org/test-feature-extractor-org")
        for k, v in feature_extractor.__dict__.items():
            self.assertEqual(v, getattr(new_feature_extractor, k))

    def test_push_to_hub_dynamic_feature_extractor(self):
        CustomFeatureExtractor.register_for_auto_class()
        feature_extractor = CustomFeatureExtractor.from_pretrained(SAMPLE_FEATURE_EXTRACTION_CONFIG_DIR)

        feature_extractor.push_to_hub("test-dynamic-feature-extractor", token=self._token)

        
        self.assertDictEqual(
            feature_extractor.auto_map,
            {"AutoFeatureExtractor": "custom_feature_extraction.CustomFeatureExtractor"},
        )

        new_feature_extractor = AutoFeatureExtractor.from_pretrained(
            f"{USER}/test-dynamic-feature-extractor", trust_remote_code=True
        )
        
        self.assertEqual(new_feature_extractor.__class__.__name__, "CustomFeatureExtractor")