






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 					__magic_name__							(      self    :    Dict):






											'''simple docstring'''







											snake_case__	  =       """laion/clap-htsat-unfused"""
											snake_case__	  =       tempfile.mkdtemp()



				def 					__magic_name__							(      self    :    Optional[int]			,		**UpperCamelCase__    :    List[str]):






											'''simple docstring'''







											return RobertaTokenizer.from_pretrained(self.checkpoint			,		**UpperCamelCase__)



				def 					__magic_name__							(      self    :    Dict			,		**UpperCamelCase__    :    Union[str, Any]):






											'''simple docstring'''







											return ClapFeatureExtractor.from_pretrained(self.checkpoint			,		**UpperCamelCase__)



				def 					__magic_name__							(      self    :    Tuple):






											'''simple docstring'''







											shutil.rmtree(self.tmpdirname)



				def 					__magic_name__							(      self    :    str):






											'''simple docstring'''







											snake_case__	  =       self.get_tokenizer()
											snake_case__	  =       self.get_feature_extractor()

											snake_case__	  =       ClapProcessor(tokenizer=UpperCamelCase__			,		feature_extractor=UpperCamelCase__)

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

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

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



				def 					__magic_name__							(      self    :    List[str]):






											'''simple docstring'''







											snake_case__	  =       ClapProcessor(tokenizer=self.get_tokenizer()			,		feature_extractor=self.get_feature_extractor())
											processor.save_pretrained(self.tmpdirname)

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

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

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

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



				def 					__magic_name__							(      self    :    List[str]):






											'''simple docstring'''







											snake_case__	  =       self.get_feature_extractor()
											snake_case__	  =       self.get_tokenizer()

											snake_case__	  =       ClapProcessor(tokenizer=UpperCamelCase__			,		feature_extractor=UpperCamelCase__)

											snake_case__	  =       floats_list((3, 1_0_0_0))

											snake_case__	  =       feature_extractor(UpperCamelCase__			,		return_tensors="""np""")
											snake_case__	  =       processor(audios=UpperCamelCase__			,		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 					__magic_name__							(      self    :    List[str]):






											'''simple docstring'''







											snake_case__	  =       self.get_feature_extractor()
											snake_case__	  =       self.get_tokenizer()

											snake_case__	  =       ClapProcessor(tokenizer=UpperCamelCase__			,		feature_extractor=UpperCamelCase__)

											snake_case__	  =       """This is a test string"""

											snake_case__	  =       processor(text=UpperCamelCase__)

											snake_case__	  =       tokenizer(UpperCamelCase__)

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



				def 					__magic_name__							(      self    :    Optional[Any]):






											'''simple docstring'''







											snake_case__	  =       self.get_feature_extractor()
											snake_case__	  =       self.get_tokenizer()

											snake_case__	  =       ClapProcessor(tokenizer=UpperCamelCase__			,		feature_extractor=UpperCamelCase__)

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

											snake_case__	  =       processor.batch_decode(UpperCamelCase__)
											snake_case__	  =       tokenizer.batch_decode(UpperCamelCase__)

											self.assertListEqual(UpperCamelCase__			,		UpperCamelCase__)



				def 					__magic_name__							(      self    :    List[str]):






											'''simple docstring'''







											snake_case__	  =       self.get_feature_extractor()
											snake_case__	  =       self.get_tokenizer()

											snake_case__	  =       ClapProcessor(tokenizer=UpperCamelCase__			,		feature_extractor=UpperCamelCase__)

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








from collections.abc import Callable

def _UpperCAmelCase   (	a						:	Callable[[float], float]  ,					a						:	float  ,					a						:	float ):
							snake_case__	  =       a
							snake_case__	  =       b
							if function(a ) == 0:  # one of the a or b is a root for the function
														return a
							elif function(a ) == 0:
														return b
							elif (
							    function(a ) * function(a ) > 0
							):  # if none of these are root and they are both positive or negative,
														# then this algorithm can't find the root
														raise ValueError("""could not find root in given interval.""" )
							else:
														snake_case__	  =       start + (end - start) / 2.0
														while abs(start - mid ) > 10**-7:  # until precisely equals to 10^-7
																					if function(a ) == 0:
																												return mid
																					elif function(a ) * function(a ) < 0:
																												snake_case__	  =       mid
																					else:
																												snake_case__	  =       mid
																					snake_case__	  =       start + (end - start) / 2.0
														return mid

def _UpperCAmelCase   (	a						:	float ):
							return x**3 - 2 * x - 5


if __name__ == "__main__":
	print(bisection(f, 1, 1_0_0_0))

	import doctest

	doctest.testmod()
