





'''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 				UpperCAmelCase  (    unittest.TestCase     ):




      def        lowercase__					(    self    :				List[Any]						)       ->   List[str]:
            _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""": 1_60_00,
                """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        lowercase__					(    self    :				Optional[Any]    ,    **__snake_case    :				Dict						)       ->   Dict:
            _lowerCAmelCase							  =							self.add_kwargs_tokens_map.copy()
            kwargs.update(__snake_case						)
            return WavaVecaCTCTokenizer.from_pretrained(self.tmpdirname    ,    **__snake_case						)




      def        lowercase__					(    self    :				int    ,    **__snake_case    :				int						)       ->   Tuple:
            return WavaVecaFeatureExtractor.from_pretrained(self.tmpdirname    ,    **__snake_case						)




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




      def        lowercase__					(    self    :				int						)       ->   Dict:
            _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        lowercase__					(    self    :				Any						)       ->   str:
            _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        lowercase__					(    self    :				Union[str, Any]						)       ->   int:
            _lowerCAmelCase							  =							self.get_feature_extractor()
            _lowerCAmelCase							  =							self.get_tokenizer()

            _lowerCAmelCase							  =							WavaVecaProcessor(tokenizer=__snake_case    ,    feature_extractor=__snake_case						)

            _lowerCAmelCase							  =							floats_list((3, 10_00)						)

            _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        lowercase__					(    self    :				List[str]						)       ->   Optional[int]:
            _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        lowercase__					(    self    :				Optional[Any]						)       ->   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        lowercase__					(    self    :				List[str]						)       ->   List[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'''






class 				UpperCAmelCase  :




      def __init__(    self    :				Optional[Any]						)       ->   List[str]:
            _lowerCAmelCase							  =							[0]
            _lowerCAmelCase							  =							0




      def        lowercase__					(    self    :				str    ,    __snake_case    :				int						)       ->   None:
            _lowerCAmelCase							  =							self.__heap[i]
            while i // 2 > 0:
                  if self.__heap[i] > self.__heap[i // 2]:
                        _lowerCAmelCase							  =							self.__heap[i // 2]
                        _lowerCAmelCase							  =							temporary
                  i //= 2




      def        lowercase__					(    self    :				Optional[Any]    ,    __snake_case    :				int						)       ->   None:
            self.__heap.append(__snake_case						)
            self.__size += 1
            self.__swap_up(self.__size						)




      def        lowercase__					(    self    :				str    ,    __snake_case    :				int						)       ->   None:
            while self.__size >= 2 * i:
                  if 2 * i + 1 > self.__size:
                        _lowerCAmelCase							  =							2 * i
                  else:
                        if self.__heap[2 * i] > self.__heap[2 * i + 1]:
                              _lowerCAmelCase							  =							2 * i
                        else:
                              _lowerCAmelCase							  =							2 * i + 1
                  _lowerCAmelCase							  =							self.__heap[i]
                  if self.__heap[i] < self.__heap[bigger_child]:
                        _lowerCAmelCase							  =							self.__heap[bigger_child]
                        _lowerCAmelCase							  =							temporary
                  _lowerCAmelCase							  =							bigger_child




      def        lowercase__					(    self    :				Tuple						)       ->   int:
            _lowerCAmelCase							  =							self.__heap[1]
            _lowerCAmelCase							  =							self.__heap[self.__size]
            self.__size -= 1
            self.__heap.pop()
            self.__swap_down(1						)
            return max_value




      @property
      def        lowercase__					(    self    :				List[Any]						)       ->   str:
            return self.__heap[1:]




      def __len__(    self    :				Optional[Any]						)       ->   str:
            return self.__size


if __name__ == "__main__":
      import doctest

      doctest.testmod()
      # create an instance of BinaryHeap
      A__       :     Tuple          =BinaryHeap()
      binary_heap.insert(6)
      binary_heap.insert(10)
      binary_heap.insert(15)
      binary_heap.insert(12)
      # pop root(max-values because it is max heap)
      print(binary_heap.pop())  # 15
      print(binary_heap.pop())  # 12
      # get the list and size after operations
      print(binary_heap.get_list)
      print(len(binary_heap))






