




'''simple docstring'''







import shutil
import tempfile
import unittest

from transformers import ClapFeatureExtractor, ClapProcessor, RobertaTokenizer, RobertaTokenizerFast
from transformers.testing_utils import require_sentencepiece, require_torchaudio

from .test_feature_extraction_clap import floats_list







@require_torchaudio
@require_sentencepiece
class 					_a (unittest.TestCase	):





     '''simple docstring'''



     def 			snake_case_      (				self							)      ->				Union[str, Any]:
          snake_case			:      Union[str, Any]        =			"""laion/clap-htsat-unfused"""
          snake_case			:      List[str]        =			tempfile.mkdtemp()







     def 			snake_case_      (				self							,**__a							)      ->				Union[str, Any]:
          return RobertaTokenizer.from_pretrained(self.checkpoint							,**__a							)







     def 			snake_case_      (				self							,**__a							)      ->				str:
          return ClapFeatureExtractor.from_pretrained(self.checkpoint							,**__a							)







     def 			snake_case_      (				self							)      ->				Dict:
          shutil.rmtree(self.tmpdirname							)







     def 			snake_case_      (				self							)      ->				Optional[int]:
          snake_case			:      int        =			self.get_tokenizer()
          snake_case			:      Any        =			self.get_feature_extractor()

          snake_case			:      List[str]        =			ClapProcessor(tokenizer=__a							,feature_extractor=__a							)

          processor.save_pretrained(self.tmpdirname							)
          snake_case			:      List[Any]        =			ClapProcessor.from_pretrained(self.tmpdirname							)

          self.assertEqual(processor.tokenizer.get_vocab()							,tokenizer.get_vocab()							)
          self.assertIsInstance(processor.tokenizer							,__a							)

          self.assertEqual(processor.feature_extractor.to_json_string()							,feature_extractor.to_json_string()							)
          self.assertIsInstance(processor.feature_extractor							,__a							)







     def 			snake_case_      (				self							)      ->				Any:
          snake_case			:      Any        =			ClapProcessor(tokenizer=self.get_tokenizer()							,feature_extractor=self.get_feature_extractor()							)
          processor.save_pretrained(self.tmpdirname							)

          snake_case			:      Union[str, Any]        =			self.get_tokenizer(bos_token="""(BOS)"""							,eos_token="""(EOS)"""							)
          snake_case			:      int        =			self.get_feature_extractor(do_normalize=__a							,padding_value=1.0							)

          snake_case			:      Tuple        =			ClapProcessor.from_pretrained(
              self.tmpdirname							,bos_token="""(BOS)"""							,eos_token="""(EOS)"""							,do_normalize=__a							,padding_value=1.0							)

          self.assertEqual(processor.tokenizer.get_vocab()							,tokenizer_add_kwargs.get_vocab()							)
          self.assertIsInstance(processor.tokenizer							,__a							)

          self.assertEqual(processor.feature_extractor.to_json_string()							,feature_extractor_add_kwargs.to_json_string()							)
          self.assertIsInstance(processor.feature_extractor							,__a							)







     def 			snake_case_      (				self							)      ->				Any:
          snake_case			:      Union[str, Any]        =			self.get_feature_extractor()
          snake_case			:      Union[str, Any]        =			self.get_tokenizer()

          snake_case			:      Optional[Any]        =			ClapProcessor(tokenizer=__a							,feature_extractor=__a							)

          snake_case			:      List[Any]        =			floats_list((3, 1_000)							)

          snake_case			:      Dict        =			feature_extractor(__a							,return_tensors="""np"""							)
          snake_case			:      Dict        =			processor(audios=__a							,return_tensors="""np"""							)

          for key in input_feat_extract.keys():
               self.assertAlmostEqual(input_feat_extract[key].sum()							,input_processor[key].sum()							,delta=1E-2							)







     def 			snake_case_      (				self							)      ->				List[str]:
          snake_case			:      List[str]        =			self.get_feature_extractor()
          snake_case			:      List[Any]        =			self.get_tokenizer()

          snake_case			:      Tuple        =			ClapProcessor(tokenizer=__a							,feature_extractor=__a							)

          snake_case			:      str        =			"""This is a test string"""

          snake_case			:      List[Any]        =			processor(text=__a							)

          snake_case			:      Union[str, Any]        =			tokenizer(__a							)

          for key in encoded_tok.keys():
               self.assertListEqual(encoded_tok[key]							,encoded_processor[key]							)







     def 			snake_case_      (				self							)      ->				Dict:
          snake_case			:      Any        =			self.get_feature_extractor()
          snake_case			:      Tuple        =			self.get_tokenizer()

          snake_case			:      List[Any]        =			ClapProcessor(tokenizer=__a							,feature_extractor=__a							)

          snake_case			:      List[Any]        =			[[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

          snake_case			:      Optional[Any]        =			processor.batch_decode(__a							)
          snake_case			:      List[str]        =			tokenizer.batch_decode(__a							)

          self.assertListEqual(__a							,__a							)







     def 			snake_case_      (				self							)      ->				Optional[int]:
          snake_case			:      Any        =			self.get_feature_extractor()
          snake_case			:      List[str]        =			self.get_tokenizer()

          snake_case			:      Dict        =			ClapProcessor(tokenizer=__a							,feature_extractor=__a							)

          self.assertListEqual(
              processor.model_input_names[2:]							,feature_extractor.model_input_names							,msg="""`processor` and `feature_extractor` model input names do not match"""							,)









'''simple docstring'''







import os
import time

import pytest

from datasets.utils.filelock import FileLock, Timeout



def        lowerCamelCase__				(      __lowercase				):
     snake_case			:      List[Any]        =			FileLock(str(tmpdir / """foo.lock"""				)				)
     snake_case			:      str        =			FileLock(str(tmpdir / """foo.lock"""				)				)
     snake_case			:      Any        =			0.01
     with locka.acquire():
          with pytest.raises(__lowercase				):
               snake_case			:      Union[str, Any]        =			time.time()
               locka.acquire(__lowercase				)
               assert time.time() - _start > timeout







def        lowerCamelCase__				(      __lowercase				):
     snake_case			:      List[Any]        =			"""a""" * 1_000 + """.lock"""
     snake_case			:      List[str]        =			FileLock(str(tmpdir / filename				)				)
     assert locka._lock_file.endswith(""".lock"""				)
     assert not locka._lock_file.endswith(__lowercase				)
     assert len(os.path.basename(locka._lock_file				)				) <= 255
     snake_case			:      Any        =			FileLock(tmpdir / filename				)
     with locka.acquire():
          with pytest.raises(__lowercase				):
               locka.acquire(0				)



