transformers/tests/test_feature_extraction_common.py
Patrick von Platen 9a06b6b11b
[FeatureExtractorSavingUtils] Refactor PretrainedFeatureExtractor (#10594)
* save first version

* finish refactor

* finish refactor

* correct naming

* correct naming

* shorter names

* Update src/transformers/feature_extraction_common_utils.py

Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* change name

* finish

Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
2021-03-09 12:16:59 +03:00

51 lines
2.0 KiB
Python

# coding=utf-8
# Copyright 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.
import json
import os
import tempfile
class FeatureExtractionSavingTestMixin:
def test_feat_extract_to_json_string(self):
feat_extract = self.feature_extraction_class(**self.feat_extract_dict)
obj = json.loads(feat_extract.to_json_string())
for key, value in self.feat_extract_dict.items():
self.assertEqual(obj[key], value)
def test_feat_extract_to_json_file(self):
feat_extract_first = self.feature_extraction_class(**self.feat_extract_dict)
with tempfile.TemporaryDirectory() as tmpdirname:
json_file_path = os.path.join(tmpdirname, "feat_extract.json")
feat_extract_first.to_json_file(json_file_path)
feat_extract_second = self.feature_extraction_class.from_json_file(json_file_path)
self.assertEqual(feat_extract_second.to_dict(), feat_extract_first.to_dict())
def test_feat_extract_from_and_save_pretrained(self):
feat_extract_first = self.feature_extraction_class(**self.feat_extract_dict)
with tempfile.TemporaryDirectory() as tmpdirname:
feat_extract_first.save_pretrained(tmpdirname)
feat_extract_second = self.feature_extraction_class.from_pretrained(tmpdirname)
self.assertEqual(feat_extract_second.to_dict(), feat_extract_first.to_dict())
def test_init_without_params(self):
feat_extract = self.feature_extraction_class()
self.assertIsNotNone(feat_extract)