



"""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    __lowercase     (					unittest.TestCase):







						"""simple docstring"""







						def 						__UpperCamelCase							(self       ):
											snake_case_					:		Optional[Any] 					=					"""laion/clap-htsat-unfused"""
											snake_case_					:		Any 					=					tempfile.mkdtemp()







						def 						__UpperCamelCase							(self   ,		**lowercase__       ):
											return RobertaTokenizer.from_pretrained(self.checkpoint   ,		**lowercase__       )







						def 						__UpperCamelCase							(self   ,		**lowercase__       ):
											return ClapFeatureExtractor.from_pretrained(self.checkpoint   ,		**lowercase__       )







						def 						__UpperCamelCase							(self       ):
											shutil.rmtree(self.tmpdirname       )







						def 						__UpperCamelCase							(self       ):
											snake_case_					:		Optional[int] 					=					self.get_tokenizer()
											snake_case_					:		Union[str, Any] 					=					self.get_feature_extractor()

											snake_case_					:		List[str] 					=					ClapProcessor(tokenizer=lowercase__   ,		feature_extractor=lowercase__       )

											processor.save_pretrained(self.tmpdirname       )
											snake_case_					:		Tuple 					=					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 						__UpperCamelCase							(self       ):
											snake_case_					:		Optional[Any] 					=					ClapProcessor(tokenizer=self.get_tokenizer()   ,		feature_extractor=self.get_feature_extractor()       )
											processor.save_pretrained(self.tmpdirname       )

											snake_case_					:		List[str] 					=					self.get_tokenizer(bos_token="""(BOS)"""   ,		eos_token="""(EOS)"""       )
											snake_case_					:		List[str] 					=					self.get_feature_extractor(do_normalize=lowercase__   ,		padding_value=1.0       )

											snake_case_					:		Tuple 					=					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 						__UpperCamelCase							(self       ):
											snake_case_					:		List[str] 					=					self.get_feature_extractor()
											snake_case_					:		Dict 					=					self.get_tokenizer()

											snake_case_					:		Union[str, Any] 					=					ClapProcessor(tokenizer=lowercase__   ,		feature_extractor=lowercase__       )

											snake_case_					:		int 					=					floats_list((3, 10_00)       )

											snake_case_					:		List[str] 					=					feature_extractor(lowercase__   ,		return_tensors="""np"""       )
											snake_case_					:		List[str] 					=					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 						__UpperCamelCase							(self       ):
											snake_case_					:		int 					=					self.get_feature_extractor()
											snake_case_					:		Tuple 					=					self.get_tokenizer()

											snake_case_					:		int 					=					ClapProcessor(tokenizer=lowercase__   ,		feature_extractor=lowercase__       )

											snake_case_					:		int 					=					"""This is a test string"""

											snake_case_					:		Tuple 					=					processor(text=lowercase__       )

											snake_case_					:		Optional[int] 					=					tokenizer(lowercase__       )

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







						def 						__UpperCamelCase							(self       ):
											snake_case_					:		Tuple 					=					self.get_feature_extractor()
											snake_case_					:		str 					=					self.get_tokenizer()

											snake_case_					:		Any 					=					ClapProcessor(tokenizer=lowercase__   ,		feature_extractor=lowercase__       )

											snake_case_					:		int 					=					[[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

											snake_case_					:		Optional[int] 					=					processor.batch_decode(lowercase__       )
											snake_case_					:		Tuple 					=					tokenizer.batch_decode(lowercase__       )

											self.assertListEqual(lowercase__   ,		lowercase__       )







						def 						__UpperCamelCase							(self       ):
											snake_case_					:		Tuple 					=					self.get_feature_extractor()
											snake_case_					:		List[str] 					=					self.get_tokenizer()

											snake_case_					:		List[Any] 					=					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"""

from copy import deepcopy







class    __lowercase     :







						"""simple docstring"""







						def __init__(self   ,		lowercase__ = None   ,		lowercase__ = None       ):

											if arr is None and size is not None:
																snake_case_					:		str 					=					size
																snake_case_					:		Optional[Any] 					=					[0] * size
											elif arr is not None:
																self.init(lowercase__       )
											else:
																raise ValueError("""Either arr or size must be specified"""       )







						def 						__UpperCamelCase							(self   ,		lowercase__       ):
											snake_case_					:		Optional[Any] 					=					len(lowercase__       )
											snake_case_					:		int 					=					deepcopy(lowercase__       )
											for i in range(1   ,		self.size       ):
																snake_case_					:		Optional[Any] 					=					self.next_(lowercase__       )
																if j < self.size:
																					self.tree[j] += self.tree[i]







						def 						__UpperCamelCase							(self       ):
											snake_case_					:		Dict 					=					self.tree[:]
											for i in range(self.size - 1   ,		0   ,		-1       ):
																snake_case_					:		Optional[int] 					=					self.next_(lowercase__       )
																if j < self.size:
																					arr[j] -= arr[i]
											return arr







						@staticmethod
						def 						__UpperCamelCase							(lowercase__       ):
											return index + (index & (-index))







						@staticmethod
						def 						__UpperCamelCase							(lowercase__       ):
											return index - (index & (-index))







						def 						__UpperCamelCase							(self   ,		lowercase__   ,		lowercase__       ):
											if index == 0:
																self.tree[0] += value
																return
											while index < self.size:
																self.tree[index] += value
																snake_case_					:		Tuple 					=					self.next_(lowercase__       )







						def 						__UpperCamelCase							(self   ,		lowercase__   ,		lowercase__       ):
											self.add(lowercase__   ,		value - self.get(lowercase__       )       )







						def 						__UpperCamelCase							(self   ,		lowercase__       ):
											if right == 0:
																return 0
											snake_case_					:		List[str] 					=					self.tree[0]
											right -= 1  # make right inclusive
											while right > 0:
																result += self.tree[right]
																snake_case_					:		Optional[int] 					=					self.prev(lowercase__       )
											return result







						def 						__UpperCamelCase							(self   ,		lowercase__   ,		lowercase__       ):
											return self.prefix(lowercase__       ) - self.prefix(lowercase__       )







						def 						__UpperCamelCase							(self   ,		lowercase__       ):
											return self.query(lowercase__   ,		index + 1       )







						def 						__UpperCamelCase							(self   ,		lowercase__       ):
											value -= self.tree[0]
											if value < 0:
																return -1

											snake_case_					:		Tuple 					=					1  # Largest power of 2 <= size
											while j * 2 < self.size:
																j *= 2

											snake_case_					:		Tuple 					=					0

											while j > 0:
																if i + j < self.size and self.tree[i + j] <= value:
																					value -= self.tree[i + j]
																					i += j
																j //= 2
											return i


if __name__ == "__main__":
			import doctest

			doctest.testmod()




