
"""simple docstring"""
import json
import os
import shutil
import tempfile
import unittest

from transformers.models.wavaveca import WavaVecaCTCTokenizer, WavaVecaFeatureExtractor, WavaVecaProcessor
from transformers.models.wavaveca.tokenization_wavaveca import VOCAB_FILES_NAMES
from transformers.utils import FEATURE_EXTRACTOR_NAME

from .test_feature_extraction_wavaveca import floats_list
class      lowerCAmelCase_						(							unittest.TestCase				):



							'''simple docstring'''





							def  A__		(				self							)   ->       Any:
													__lowerCAmelCase        =       """<pad> <s> </s> <unk> | E T A O N I H S R D L U M W C F G Y P B V K ' X J Q Z""".split(""" """							)
													__lowerCAmelCase        =       dict(zip(snake_case_  ,							range(len(snake_case_							)							)							)							)

													__lowerCAmelCase        =       {
													    """pad_token""": """<pad>""",
													    """unk_token""": """<unk>""",
													    """bos_token""": """<s>""",
													    """eos_token""": """</s>""",
													}
													__lowerCAmelCase        =       {
													    """feature_size""": 1,
													    """padding_value""": 0.0,
													    """sampling_rate""": 16_000,
													    """return_attention_mask""": False,
													    """do_normalize""": True,
													}

													__lowerCAmelCase        =       tempfile.mkdtemp()
													__lowerCAmelCase        =       os.path.join(self.tmpdirname  ,							VOCAB_FILES_NAMES["""vocab_file"""]							)
													__lowerCAmelCase        =       os.path.join(self.tmpdirname  ,							snake_case_							)
													with open(self.vocab_file  ,							"""w"""  ,							encoding="""utf-8"""							) as fp:
																			fp.write(json.dumps(snake_case_							) + """\n"""							)

													with open(self.feature_extraction_file  ,							"""w"""  ,							encoding="""utf-8"""							) as fp:
																			fp.write(json.dumps(snake_case_							) + """\n"""							)




							def  A__		(				self  ,							**snake_case_							)   ->       Any:
													__lowerCAmelCase        =       self.add_kwargs_tokens_map.copy()
													kwargs.update(snake_case_							)
													return WavaVecaCTCTokenizer.from_pretrained(self.tmpdirname  ,							**snake_case_							)




							def  A__		(				self  ,							**snake_case_							)   ->       List[str]:
													return WavaVecaFeatureExtractor.from_pretrained(self.tmpdirname  ,							**snake_case_							)




							def  A__		(				self							)   ->       Union[str, Any]:
													shutil.rmtree(self.tmpdirname							)




							def  A__		(				self							)   ->       Optional[Any]:
													__lowerCAmelCase        =       self.get_tokenizer()
													__lowerCAmelCase        =       self.get_feature_extractor()

													__lowerCAmelCase        =       WavaVecaProcessor(tokenizer=snake_case_  ,							feature_extractor=snake_case_							)

													processor.save_pretrained(self.tmpdirname							)
													__lowerCAmelCase        =       WavaVecaProcessor.from_pretrained(self.tmpdirname							)

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

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




							def  A__		(				self							)   ->       Dict:
													__lowerCAmelCase        =       WavaVecaProcessor(tokenizer=self.get_tokenizer()  ,							feature_extractor=self.get_feature_extractor()							)
													processor.save_pretrained(self.tmpdirname							)

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

													__lowerCAmelCase        =       WavaVecaProcessor.from_pretrained(
													    self.tmpdirname  ,							bos_token="""(BOS)"""  ,							eos_token="""(EOS)"""  ,							do_normalize=snake_case_  ,							padding_value=1.0							)

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

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




							def  A__		(				self							)   ->       Any:
													__lowerCAmelCase        =       self.get_feature_extractor()
													__lowerCAmelCase        =       self.get_tokenizer()

													__lowerCAmelCase        =       WavaVecaProcessor(tokenizer=snake_case_  ,							feature_extractor=snake_case_							)

													__lowerCAmelCase        =       floats_list((3, 1_000)							)

													__lowerCAmelCase        =       feature_extractor(snake_case_  ,							return_tensors="""np"""							)
													__lowerCAmelCase        =       processor(snake_case_  ,							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  A__		(				self							)   ->       Dict:
													__lowerCAmelCase        =       self.get_feature_extractor()
													__lowerCAmelCase        =       self.get_tokenizer()

													__lowerCAmelCase        =       WavaVecaProcessor(tokenizer=snake_case_  ,							feature_extractor=snake_case_							)

													__lowerCAmelCase        =       """This is a test string"""

													__lowerCAmelCase        =       processor(text=snake_case_							)

													__lowerCAmelCase        =       tokenizer(snake_case_							)

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




							def  A__		(				self							)   ->       Tuple:
													__lowerCAmelCase        =       self.get_feature_extractor()
													__lowerCAmelCase        =       self.get_tokenizer()

													__lowerCAmelCase        =       WavaVecaProcessor(tokenizer=snake_case_  ,							feature_extractor=snake_case_							)

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

													__lowerCAmelCase        =       processor.batch_decode(snake_case_							)
													__lowerCAmelCase        =       tokenizer.batch_decode(snake_case_							)

													self.assertListEqual(snake_case_  ,							snake_case_							)




							def  A__		(				self							)   ->       str:
													__lowerCAmelCase        =       self.get_feature_extractor()
													__lowerCAmelCase        =       self.get_tokenizer()

													__lowerCAmelCase        =       WavaVecaProcessor(tokenizer=snake_case_  ,							feature_extractor=snake_case_							)

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


"""simple docstring"""
from __future__ import annotations

from typing import Generic, TypeVar

SCREAMING_SNAKE_CASE_			      =					TypeVar('''T''')
class      lowerCAmelCase_						(							A__				):



							'''simple docstring'''





							pass
class      lowerCAmelCase_						(							A__				):



							'''simple docstring'''





							pass
class      lowerCAmelCase_						(							Generic[T]				):



							'''simple docstring'''





							def __init__(				self  ,							snake_case_ = 10							)   ->       Tuple:
													__lowerCAmelCase        =       []
													__lowerCAmelCase        =       limit




							def __bool__(				self							)   ->       bool:
													return bool(self.stack							)




							def __str__(				self							)   ->       str:
													return str(self.stack							)




							def  A__		(				self  ,							snake_case_							)   ->       None:
													if len(self.stack							) >= self.limit:
																			raise StackOverflowError
													self.stack.append(snake_case_							)




							def  A__		(				self							)   ->       T:
													if not self.stack:
																			raise StackUnderflowError
													return self.stack.pop()




							def  A__		(				self							)   ->       T:
													if not self.stack:
																			raise StackUnderflowError
													return self.stack[-1]




							def  A__		(				self							)   ->       bool:
													return not bool(self.stack							)




							def  A__		(				self							)   ->       bool:
													return self.size() == self.limit




							def  A__		(				self							)   ->       int:
													return len(self.stack							)




							def __contains__(				self  ,							snake_case_							)   ->       bool:
													return item in self.stack

def 				lowercase      ():
						__lowerCAmelCase        =       Stack(10		)
						assert bool(_lowerCAmelCase		) is False
						assert stack.is_empty() is True
						assert stack.is_full() is False
						assert str(_lowerCAmelCase		) == "[]"

						try:
												__lowerCAmelCase        =       stack.pop()
												raise AssertionError  # This should not happen
						except StackUnderflowError:
												assert True  # This should happen

						try:
												__lowerCAmelCase        =       stack.peek()
												raise AssertionError  # This should not happen
						except StackUnderflowError:
												assert True  # This should happen

						for i in range(10		):
												assert stack.size() == i
												stack.push(_lowerCAmelCase		)

						assert bool(_lowerCAmelCase		)
						assert not stack.is_empty()
						assert stack.is_full()
						assert str(_lowerCAmelCase		) == str(list(range(10		)		)		)
						assert stack.pop() == 9
						assert stack.peek() == 8

						stack.push(100		)
						assert str(_lowerCAmelCase		) == str([0, 1, 2, 3, 4, 5, 6, 7, 8, 100]		)

						try:
												stack.push(200		)
												raise AssertionError  # This should not happen
						except StackOverflowError:
												assert True  # This should happen

						assert not stack.is_empty()
						assert stack.size() == 10

						assert 5 in stack
						assert 55 not in stack


if __name__ == "__main__":
			test_stack()
