code: 
  
  
  
  
  from typing import TYPE_CHECKING
  
  from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available
  
  
  SCREAMING_SNAKE_CASE__    :    int								=					{
      "configuration_realm": ["REALM_PRETRAINED_CONFIG_ARCHIVE_MAP", "RealmConfig"],
      "tokenization_realm": ["RealmTokenizer"],
  }
  
  try:
  				if not is_tokenizers_available():
  								raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  				pass
  else:
  				SCREAMING_SNAKE_CASE__    :    Union[str, Any]								=					["RealmTokenizerFast"]
  
  try:
  				if not is_torch_available():
  								raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  				pass
  else:
  				SCREAMING_SNAKE_CASE__    :    Union[str, Any]								=					[
  				    "REALM_PRETRAINED_MODEL_ARCHIVE_LIST",
  				    "RealmEmbedder",
  				    "RealmForOpenQA",
  				    "RealmKnowledgeAugEncoder",
  				    "RealmPreTrainedModel",
  				    "RealmReader",
  				    "RealmScorer",
  				    "load_tf_weights_in_realm",
  				]
  				SCREAMING_SNAKE_CASE__    :    Optional[Any]								=					["RealmRetriever"]
  
  
  if TYPE_CHECKING:
  				from .configuration_realm import REALM_PRETRAINED_CONFIG_ARCHIVE_MAP, RealmConfig
  				from .tokenization_realm import RealmTokenizer
  
  				try:
  								if not is_tokenizers_available():
  												raise OptionalDependencyNotAvailable()
  				except OptionalDependencyNotAvailable:
  								pass
  				else:
  								from .tokenization_realm import RealmTokenizerFast
  
  				try:
  								if not is_torch_available():
  												raise OptionalDependencyNotAvailable()
  				except OptionalDependencyNotAvailable:
  								pass
  				else:
  								from .modeling_realm import (
  								    REALM_PRETRAINED_MODEL_ARCHIVE_LIST,
  								    RealmEmbedder,
  								    RealmForOpenQA,
  								    RealmKnowledgeAugEncoder,
  								    RealmPreTrainedModel,
  								    RealmReader,
  								    RealmScorer,
  								    load_tf_weights_in_realm,
  								)
  								from .retrieval_realm import RealmRetriever
  
  
  else:
  				import sys
  
  				SCREAMING_SNAKE_CASE__    :    List[str]								=					_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
  
style_context: 
  
  
  
  
  from __future__ import annotations
  
  def lowercase						(     SCREAMING_SNAKE_CASE					,						SCREAMING_SNAKE_CASE					,						SCREAMING_SNAKE_CASE					,						SCREAMING_SNAKE_CASE   ) ->       None:
  
  
  			'''simple docstring'''
  
  
  
  
  
  
  
  			SCREAMING_SNAKE_CASE_	,		SCREAMING_SNAKE_CASE_			=	m - 1, 0
  			while i >= 0 and j < n:
  						if key == mat[i][j]:
  									print(F'Key {key} found at row- {i + 1} column- {j + 1}'   )
  									return
  						if key < mat[i][j]:
  									i -= 1
  						else:
  									j += 1
  			print(F'Key {key} not found'   )
  
  def lowercase						(     ) ->       None:
  
  
  			'''simple docstring'''
  
  
  
  
  
  
  
  			SCREAMING_SNAKE_CASE_			=	[[2, 5, 7], [4, 8, 13], [9, 11, 15], [12, 17, 20]]
  			SCREAMING_SNAKE_CASE_			=	int(input('Enter the element to be searched:'   )   )
  			print(SCREAMING_SNAKE_CASE   )
  			search_in_a_sorted_matrix(SCREAMING_SNAKE_CASE					,						len(SCREAMING_SNAKE_CASE   )					,						len(mat[0]   )					,						SCREAMING_SNAKE_CASE   )
  
  
  if __name__ == "__main__":
  				import doctest
  
  				doctest.testmod()
  				main()
  