
'''simple docstring'''

from __future__ import annotations

from abc import abstractmethod
from collections.abc import Iterable
from typing import Generic, Protocol, TypeVar


class   a_  (_a    ):




       @abstractmethod
       def __lt__(     self   ,   snake_case_  ):
         pass




       @abstractmethod
       def __gt__(     self   ,   snake_case_  ):
         pass







       @abstractmethod
       def __eq__(     self   ,   snake_case_  ):
         pass



UpperCamelCase_     			=       TypeVar("""T""", bound=Comparable)


class   a_  (Generic[T]    ):




       def __init__(     self  ):
         _lowerCAmelCase       :  list[T]   				=					[]
         _lowerCAmelCase       :  int   				=					0




       def __repr__(     self  ):
         return str(self.h  )




       def 							__UpperCamelCase       (     self   ,   snake_case_  ):
         if child_idx > 0:
           return (child_idx - 1) // 2
         return None




       def 							__UpperCamelCase       (     self   ,   snake_case_  ):
         _lowerCAmelCase       :  Dict   				=					2 * parent_idx + 1
         if left_child_index < self.heap_size:
           return left_child_index
         return None




       def 							__UpperCamelCase       (     self   ,   snake_case_  ):
         _lowerCAmelCase       :  Union[str, Any]   				=					2 * parent_idx + 2
         if right_child_index < self.heap_size:
           return right_child_index
         return None




       def 							__UpperCamelCase       (     self   ,   snake_case_  ):
         if index < self.heap_size:
           _lowerCAmelCase       :  int   				=					index
           _lowerCAmelCase       :  Tuple   				=					self.left_child_idx(snake_case_  )
           _lowerCAmelCase       :  Tuple   				=					self.right_child_idx(snake_case_  )
           # check which child is larger than its parent
           if left_child is not None and self.h[left_child] > self.h[violation]:
             _lowerCAmelCase       :  Tuple   				=					left_child
           if right_child is not None and self.h[right_child] > self.h[violation]:
             _lowerCAmelCase       :  Any   				=					right_child
           # if violation indeed exists
           if violation != index:
             # swap to fix the violation
             _lowerCAmelCase				,					_lowerCAmelCase       :  List[str]   				=					self.h[index], self.h[violation]
             # fix the subsequent violation recursively if any
             self.max_heapify(snake_case_  )




       def 							__UpperCamelCase       (     self   ,   snake_case_  ):
         _lowerCAmelCase       :  Tuple   				=					list(snake_case_  )
         _lowerCAmelCase       :  Union[str, Any]   				=					len(self.h  )
         if self.heap_size > 1:
           # max_heapify from right to left but exclude leaves (last level)
           for i in range(self.heap_size // 2 - 1   ,   -1   ,   -1  ):
             self.max_heapify(snake_case_  )




       def 							__UpperCamelCase       (     self  ):
         if self.heap_size >= 2:
           _lowerCAmelCase       :  List[str]   				=					self.h[0]
           _lowerCAmelCase       :  str   				=					self.h.pop(-1  )
           self.heap_size -= 1
           self.max_heapify(0  )
           return me
         elif self.heap_size == 1:
           self.heap_size -= 1
           return self.h.pop(-1  )
         else:
           raise Exception("""Empty heap"""  )




       def 							__UpperCamelCase       (     self   ,   snake_case_  ):
         self.h.append(snake_case_  )
         _lowerCAmelCase       :  Union[str, Any]   				=					(self.heap_size - 1) // 2
         self.heap_size += 1
         while idx >= 0:
           self.max_heapify(snake_case_  )
           _lowerCAmelCase       :  Optional[int]   				=					(idx - 1) // 2







       def 							__UpperCamelCase       (     self  ):
         _lowerCAmelCase       :  Tuple   				=					self.heap_size
         for j in range(size - 1   ,   0   ,   -1  ):
           _lowerCAmelCase				,					_lowerCAmelCase       :  int   				=					self.h[j], self.h[0]
           self.heap_size -= 1
           self.max_heapify(0  )
         _lowerCAmelCase       :  Union[str, Any]   				=					size


if __name__ == "__main__":
     import doctest

     # run doc test
     doctest.testmod()

     # demo
     for unsorted in [
         [0],
         [2],
         [3, 5],
         [5, 3],
         [5, 5],
         [0, 0, 0, 0],
         [1, 1, 1, 1],
         [2, 2, 3, 5],
         [0, 2, 2, 3, 5],
         [2, 5, 3, 0, 2, 3, 0, 3],
         [6, 1, 2, 7, 9, 3, 4, 5, 10, 8],
         [1_03, 9, 1, 7, 11, 15, 25, 2_01, 2_09, 1_07, 5],
         [-45, -2, -5],
     ]:
          print(F'unsorted array: {unsorted}')

          UpperCamelCase_     			=       Heap()
          heap.build_max_heap(unsorted)
          print(F'after build heap: {heap}')

          print(F'max value: {heap.extract_max()}')
          print(F'after max value removed: {heap}')

          heap.insert(1_00)
          print(F'after new value 100 inserted: {heap}')

          heap.heap_sort()
          print(F'heap-sorted array: {heap}\n')




'''simple docstring'''

import json
import os
import unittest

from transformers.models.gpt_neox_japanese.tokenization_gpt_neox_japanese import (
    VOCAB_FILES_NAMES,
    GPTNeoXJapaneseTokenizer,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin


@require_tokenizers
class   a_  (_a							,			unittest.TestCase    ):
       __lowerCAmelCase    :				List[Any]    =      GPTNeoXJapaneseTokenizer
       __lowerCAmelCase    :				Any    =      False
       __lowerCAmelCase    :				List[Any]    =      {"""do_clean_text""": False, """add_prefix_space""": False}




       def 							__UpperCamelCase       (     self  ):
         super().setUp()

         _lowerCAmelCase       :  Any   				=					[
             """こん""",
             """こんに""",
             """にちは""",
             """ばんは""",
             """世界,㔺界""",
             """、""",
             """。""",
             """<BR>""",
             """<SP>""",
             """<TAB>""",
             """<URL>""",
             """<EMAIL>""",
             """<TEL>""",
             """<DATE>""",
             """<PRICE>""",
             """<BLOCK>""",
             """<KIGOU>""",
             """<U2000U2BFF>""",
             """<|emoji1|>""",
             """<unk>""",
             """<|startoftext|>""",
             """<|endoftext|>""",
         ]
         _lowerCAmelCase       :  Union[str, Any]   				=					{"""emoji""": {"""\ud83d\ude00""": """<|emoji1|>"""}, """emoji_inv""": {"""<|emoji1|>""": """\ud83d\ude00"""}}  # 😀
         _lowerCAmelCase       :  Any   				=					{"""unk_token""": """<unk>"""}

         _lowerCAmelCase       :  Optional[int]   				=					os.path.join(self.tmpdirname   ,   VOCAB_FILES_NAMES["""vocab_file"""]  )
         _lowerCAmelCase       :  Any   				=					os.path.join(self.tmpdirname   ,   VOCAB_FILES_NAMES["""emoji_file"""]  )
         with open(self.vocab_file   ,   """w"""   ,   encoding="""utf-8"""  ) as vocab_writer:
           vocab_writer.write("""""".join([x + """\n""" for x in vocab_tokens]  )  )
         with open(self.emoji_file   ,   """w"""  ) as emoji_writer:
           emoji_writer.write(json.dumps(snake_case_  )  )




       def 							__UpperCamelCase       (     self   ,   **snake_case_  ):
         kwargs.update(self.special_tokens_map  )
         return GPTNeoXJapaneseTokenizer.from_pretrained(self.tmpdirname   ,   **snake_case_  )




       def 							__UpperCamelCase       (     self   ,   snake_case_  ):
         _lowerCAmelCase       :  Tuple   				=					"""こんにちは、世界。 \nこんばんは、㔺界。😀"""
         _lowerCAmelCase       :  str   				=					"""こんにちは、世界。 \nこんばんは、世界。😀"""
         return input_text, output_text




       def 							__UpperCamelCase       (     self   ,   snake_case_  ):
         _lowerCAmelCase				,					_lowerCAmelCase       :  str   				=					self.get_input_output_texts(snake_case_  )
         _lowerCAmelCase       :  Tuple   				=					tokenizer.encode(snake_case_   ,   add_special_tokens=snake_case_  )
         _lowerCAmelCase       :  Optional[Any]   				=					tokenizer.decode(snake_case_   ,   clean_up_tokenization_spaces=snake_case_  )
         return text, ids




       def 							__UpperCamelCase       (     self  ):
         pass  # TODO add if relevant




       def 							__UpperCamelCase       (     self  ):
         pass  # TODO add if relevant




       def 							__UpperCamelCase       (     self  ):
         pass  # TODO add if relevant




       def 							__UpperCamelCase       (     self  ):
         _lowerCAmelCase       :  List[Any]   				=					self.get_tokenizer()

         # Testing tokenization
         _lowerCAmelCase       :  Tuple   				=					"""こんにちは、世界。　こんばんは、㔺界。"""
         _lowerCAmelCase       :  Optional[Any]   				=					["""こん""", """にちは""", """、""", """世界""", """。""", """<SP>""", """こん""", """ばんは""", """、""", """㔺界""", """。"""]
         _lowerCAmelCase       :  Tuple   				=					tokenizer.tokenize(snake_case_  )
         self.assertListEqual(snake_case_   ,   snake_case_  )

         # Testing conversion to ids without special tokens
         _lowerCAmelCase       :  Optional[int]   				=					[0, 2, 5, 4, 6, 8, 0, 3, 5, 4, 6]
         _lowerCAmelCase       :  Optional[int]   				=					tokenizer.convert_tokens_to_ids(snake_case_  )
         self.assertListEqual(snake_case_   ,   snake_case_  )

         # Testing conversion to ids with special tokens
         _lowerCAmelCase       :  Optional[Any]   				=					tokens + [tokenizer.unk_token]
         _lowerCAmelCase       :  List[str]   				=					[0, 2, 5, 4, 6, 8, 0, 3, 5, 4, 6, 1_9]
         _lowerCAmelCase       :  Dict   				=					tokenizer.convert_tokens_to_ids(snake_case_  )
         self.assertListEqual(snake_case_   ,   snake_case_  )




       @slow
       def 							__UpperCamelCase       (     self  ):
         _lowerCAmelCase       :  int   				=					self.tokenizer_class.from_pretrained("""abeja/gpt-neox-japanese-2.7b"""  )

         _lowerCAmelCase       :  List[Any]   				=					tokenizer.encode("""ありがとう。"""   ,   add_special_tokens=snake_case_  )
         _lowerCAmelCase       :  List[str]   				=					tokenizer.encode("""どういたしまして。"""   ,   add_special_tokens=snake_case_  )

         _lowerCAmelCase       :  int   				=					tokenizer.build_inputs_with_special_tokens(snake_case_  )
         _lowerCAmelCase       :  Any   				=					tokenizer.build_inputs_with_special_tokens(snake_case_   ,   snake_case_  )

         assert encoded_sentence == ids_a
         assert encoded_pair == ids_a + ids_a




       def 							__UpperCamelCase       (     self  ):
         # Intentionally convert some words to accommodate character fluctuations unique to Japanese
         pass







       def 							__UpperCamelCase       (     self  ):
         # tokenizer has no padding token
         pass


