

"""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  _lowerCAmelCase  (     unittest.TestCase       ):







 """simple docstring"""







 def  _lowercase			(      self							:      List[Any]     ):
    __lowercase								=						"laion/clap-htsat-unfused"
    __lowercase								=						tempfile.mkdtemp()


 def  _lowercase			(      self							:      Any, **UpperCAmelCase__							:      int     ):
    return RobertaTokenizer.from_pretrained(self.checkpoint, **lowercase__     )


 def  _lowercase			(      self							:      Any, **UpperCAmelCase__							:      Dict     ):
    return ClapFeatureExtractor.from_pretrained(self.checkpoint, **lowercase__     )


 def  _lowercase			(      self							:      Any     ):
    shutil.rmtree(self.tmpdirname     )


 def  _lowercase			(      self							:      Any     ):
    __lowercase								=						self.get_tokenizer()
    __lowercase								=						self.get_feature_extractor()

    __lowercase								=						ClapProcessor(tokenizer=lowercase__, feature_extractor=lowercase__     )

    processor.save_pretrained(self.tmpdirname     )
    __lowercase								=						ClapProcessor.from_pretrained(self.tmpdirname     )

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

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


 def  _lowercase			(      self							:      List[Any]     ):
    __lowercase								=						ClapProcessor(tokenizer=self.get_tokenizer(), feature_extractor=self.get_feature_extractor()     )
    processor.save_pretrained(self.tmpdirname     )

    __lowercase								=						self.get_tokenizer(bos_token="(BOS)", eos_token="(EOS)"     )
    __lowercase								=						self.get_feature_extractor(do_normalize=lowercase__, padding_value=1.0     )

    __lowercase								=						ClapProcessor.from_pretrained(
        self.tmpdirname, bos_token="(BOS)", eos_token="(EOS)", do_normalize=lowercase__, padding_value=1.0     )

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

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


 def  _lowercase			(      self							:      Tuple     ):
    __lowercase								=						self.get_feature_extractor()
    __lowercase								=						self.get_tokenizer()

    __lowercase								=						ClapProcessor(tokenizer=lowercase__, feature_extractor=lowercase__     )

    __lowercase								=						floats_list((3, 1_0_0_0)     )

    __lowercase								=						feature_extractor(lowercase__, return_tensors="np"     )
    __lowercase								=						processor(audios=lowercase__, 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  _lowercase			(      self							:      Optional[Any]     ):
    __lowercase								=						self.get_feature_extractor()
    __lowercase								=						self.get_tokenizer()

    __lowercase								=						ClapProcessor(tokenizer=lowercase__, feature_extractor=lowercase__     )

    __lowercase								=						"This is a test string"

    __lowercase								=						processor(text=lowercase__     )

    __lowercase								=						tokenizer(lowercase__     )

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


 def  _lowercase			(      self							:      List[Any]     ):
    __lowercase								=						self.get_feature_extractor()
    __lowercase								=						self.get_tokenizer()

    __lowercase								=						ClapProcessor(tokenizer=lowercase__, feature_extractor=lowercase__     )

    __lowercase								=						[[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

    __lowercase								=						processor.batch_decode(lowercase__     )
    __lowercase								=						tokenizer.batch_decode(lowercase__     )

    self.assertListEqual(lowercase__, lowercase__     )



 def  _lowercase			(      self							:      Tuple     ):
    __lowercase								=						self.get_feature_extractor()
    __lowercase								=						self.get_tokenizer()

    __lowercase								=						ClapProcessor(tokenizer=lowercase__, feature_extractor=lowercase__     )

    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"""





_a							=							[
    'DownloadConfig',
    'DownloadManager',
    'DownloadMode',
    'StreamingDownloadManager',
]

from .download_config import DownloadConfig
from .download_manager import DownloadManager, DownloadMode
from .streaming_download_manager import StreamingDownloadManager




