
import os
import shutil
import tempfile
from unittest import TestCase
from unittest.mock import patch

import numpy as np
from datasets import Dataset

from transformers.models.realm.configuration_realm import RealmConfig
from transformers.models.realm.retrieval_realm import _REALM_BLOCK_RECORDS_FILENAME, RealmRetriever
from transformers.models.realm.tokenization_realm import VOCAB_FILES_NAMES, RealmTokenizer



class 		UpperCamelCase__  (	_SCREAMING_SNAKE_CASE   ):
			def 				lowerCAmelCase      (self			: Optional[Any]       ):
				__a			:  Union[str, Any]		    =  tempfile.mkdtemp()
				__a			:  Tuple		    =  5

				# Realm tok
				__a			:  Tuple		    =  [
				    '''[UNK]''',
				    '''[CLS]''',
				    '''[SEP]''',
				    '''[PAD]''',
				    '''[MASK]''',
				    '''test''',
				    '''question''',
				    '''this''',
				    '''is''',
				    '''the''',
				    '''first''',
				    '''second''',
				    '''third''',
				    '''fourth''',
				    '''fifth''',
				    '''record''',
				    '''want''',
				    '''##want''',
				    '''##ed''',
				    '''wa''',
				    '''un''',
				    '''runn''',
				    '''##ing''',
				    ''',''',
				    '''low''',
				    '''lowest''',
				]
				__a			:  Any		    =  os.path.join(self.tmpdirname ,    '''realm_tokenizer'''       )
				os.makedirs(A_ ,    exist_ok=A_       )
				__a			:  Optional[int]		    =  os.path.join(A_ ,    VOCAB_FILES_NAMES['''vocab_file''']       )
				with open(self.vocab_file ,    '''w''' ,    encoding='''utf-8'''       ) as vocab_writer:
					vocab_writer.write(''''''.join([x + '''\n''' for x in vocab_tokens]       )       )

				__a			:  Tuple		    =  os.path.join(self.tmpdirname ,    '''realm_block_records'''       )
				os.makedirs(A_ ,    exist_ok=A_       )
			def 				lowerCAmelCase      (self			: int       ):
				return RealmTokenizer.from_pretrained(os.path.join(self.tmpdirname ,    '''realm_tokenizer'''       )       )
			def 				lowerCAmelCase      (self			: Dict       ):
				shutil.rmtree(self.tmpdirname       )
			def 				lowerCAmelCase      (self			: int       ):
				__a			:  Optional[Any]		    =  RealmConfig(num_block_records=self.num_block_records       )
				return config
			def 				lowerCAmelCase      (self			: Tuple       ):
				__a			:  str		    =  Dataset.from_dict(
				    {
				        '''id''': ['''0''', '''1'''],
				        '''question''': ['''foo''', '''bar'''],
				        '''answers''': [['''Foo''', '''Bar'''], ['''Bar''']],
				    }       )
				return dataset
			def 				lowerCAmelCase      (self			: Dict       ):
				__a			:  List[str]		    =  np.array(
				    [
				        B'''This is the first record''',
				        B'''This is the second record''',
				        B'''This is the third record''',
				        B'''This is the fourth record''',
				        B'''This is the fifth record''',
				        B'''This is a longer longer longer record''',
				    ] ,    dtype=A_ ,    )
				return block_records
			def 				lowerCAmelCase      (self			: int       ):
				__a			:  str		    =  RealmRetriever(
				    block_records=self.get_dummy_block_records() ,    tokenizer=self.get_tokenizer() ,    )
				return retriever
			def 				lowerCAmelCase      (self			: str       ):
				__a			:  List[str]		    =  self.get_config()
				__a			:  Optional[int]		    =  self.get_dummy_retriever()
				__a			:  Optional[int]		    =  retriever.tokenizer

				__a			:  List[str]		    =  np.array([0, 3] ,    dtype='''long'''       )
				__a			:  Any		    =  tokenizer(['''Test question''']       ).input_ids
				__a			:  Optional[Any]		    =  tokenizer(
				    ['''the fourth'''] ,    add_special_tokens=A_ ,    return_token_type_ids=A_ ,    return_attention_mask=A_ ,    ).input_ids
				__a			:  int		    =  config.reader_seq_len

				__a    ,	__a    ,	__a    ,	__a			:  Optional[int]		    =  retriever(
				    A_ ,    A_ ,    answer_ids=A_ ,    max_length=A_ ,    return_tensors='''np'''       )

				self.assertEqual(len(A_       ) ,    2       )
				self.assertEqual(len(A_       ) ,    2       )
				self.assertEqual(len(A_       ) ,    2       )
				self.assertEqual(concat_inputs.input_ids.shape ,    (2, 1_0)       )
				self.assertEqual(concat_inputs.attention_mask.shape ,    (2, 1_0)       )
				self.assertEqual(concat_inputs.token_type_ids.shape ,    (2, 1_0)       )
				self.assertEqual(concat_inputs.special_tokens_mask.shape ,    (2, 1_0)       )
				self.assertEqual(
				    tokenizer.convert_ids_to_tokens(concat_inputs.input_ids[0]       ) ,    ['''[CLS]''', '''test''', '''question''', '''[SEP]''', '''this''', '''is''', '''the''', '''first''', '''record''', '''[SEP]'''] ,    )
				self.assertEqual(
				    tokenizer.convert_ids_to_tokens(concat_inputs.input_ids[1]       ) ,    ['''[CLS]''', '''test''', '''question''', '''[SEP]''', '''this''', '''is''', '''the''', '''fourth''', '''record''', '''[SEP]'''] ,    )
			def 				lowerCAmelCase      (self			: List[Any]       ):
				__a			:  List[str]		    =  self.get_config()
				__a			:  Dict		    =  self.get_dummy_retriever()
				__a			:  str		    =  retriever.tokenizer

				__a			:  Union[str, Any]		    =  np.array([0, 3, 5] ,    dtype='''long'''       )
				__a			:  List[Any]		    =  tokenizer(['''Test question''']       ).input_ids
				__a			:  List[Any]		    =  tokenizer(
				    ['''the fourth''', '''longer longer'''] ,    add_special_tokens=A_ ,    return_token_type_ids=A_ ,    return_attention_mask=A_ ,    ).input_ids
				__a			:  int		    =  config.reader_seq_len

				__a    ,	__a    ,	__a    ,	__a			:  Any		    =  retriever(
				    A_ ,    A_ ,    answer_ids=A_ ,    max_length=A_ ,    return_tensors='''np'''       )

				self.assertEqual([False, True, True] ,    A_       )
				self.assertEqual([[-1, -1, -1], [6, -1, -1], [6, 7, 8]] ,    A_       )
				self.assertEqual([[-1, -1, -1], [7, -1, -1], [7, 8, 9]] ,    A_       )







			def 				lowerCAmelCase      (self			: Optional[Any]       ):
				__a			:  List[Any]		    =  self.get_dummy_retriever()
				retriever.save_pretrained(os.path.join(self.tmpdirname ,    '''realm_block_records'''       )       )

				# Test local path
				__a			:  str		    =  retriever.from_pretrained(os.path.join(self.tmpdirname ,    '''realm_block_records'''       )       )
				self.assertEqual(retriever.block_records[0] ,    B'''This is the first record'''       )

				# Test mocked remote path
				with patch('''transformers.models.realm.retrieval_realm.hf_hub_download'''       ) as mock_hf_hub_download:
					__a			:  Union[str, Any]		    =  os.path.join(
					    os.path.join(self.tmpdirname ,    '''realm_block_records'''       ) ,    _REALM_BLOCK_RECORDS_FILENAME       )
					__a			:  Optional[int]		    =  RealmRetriever.from_pretrained('''google/realm-cc-news-pretrained-openqa'''       )

				self.assertEqual(retriever.block_records[0] ,    B'''This is the first record'''       )


def        __UpperCamelCase					(    lowerCAmelCase__							:    list  ):

 def merge(lowerCAmelCase__							:    list  ,       lowerCAmelCase__							:    list  ) -> list:

  def _merge():
   while left and right:
    yield (left if left[0] <= right[0] else right).pop(0  )
   yield from left
   yield from right

  return list(_merge()  )

 if len(lowerCAmelCase__  ) <= 1:
  return collection
 __a			:  str		    =  len(lowerCAmelCase__  ) // 2
 return merge(merge_sort(collection[:mid]  )  ,       merge_sort(collection[mid:]  )  )


if __name__ == "__main__":
      import doctest

      doctest.testmod()
      lowercase__          =input('Enter numbers separated by a comma:\n').strip()
      lowercase__          =[int(item) for item in user_input.split(',')]
      print(*merge_sort(unsorted), sep=',')
