
'''simple docstring'''

from __future__ import annotations




class 	A_			:






     '''simple docstring'''



     def __init__(		self			:					Dict					,      lowercase_			:					int	)						->     None:
      UpperCAmelCase	:     Any						 =			data
      UpperCAmelCase	:     Node | None						 =			None
      UpperCAmelCase	:     Node | None						 =			None




def 				UpperCamelCase(					UpperCAmelCase_     ):  # In Order traversal of the tree
 if tree:
  display(tree.left     )
  print(tree.data     )
  display(tree.right     )




def 				UpperCamelCase(					UpperCAmelCase_     ):
 return 1 + max(depth_of_tree(tree.left     )  ,	depth_of_tree(tree.right     )     ) if tree else 0




def 				UpperCamelCase(					UpperCAmelCase_     ):
 if not tree:
  return True
 if tree.left and tree.right:
  return is_full_binary_tree(tree.left     ) and is_full_binary_tree(tree.right     )
 else:
  return not tree.left and not tree.right




def 				UpperCamelCase(					):  # Main function for testing.
 UpperCAmelCase	:     Dict						 =			Node(1     )
 UpperCAmelCase	:     Any						 =			Node(2     )
 UpperCAmelCase	:     List[str]						 =			Node(3     )
 UpperCAmelCase	:     int						 =			Node(4     )
 UpperCAmelCase	:     Union[str, Any]						 =			Node(5     )
 UpperCAmelCase	:     Optional[int]						 =			Node(6     )
 UpperCAmelCase	:     Union[str, Any]						 =			Node(7     )
 UpperCAmelCase	:     Any						 =			Node(8     )
 UpperCAmelCase	:     Dict						 =			Node(9     )

 print(is_full_binary_tree(UpperCAmelCase_     )     )
 print(depth_of_tree(UpperCAmelCase_     )     )
 print('Tree is: '     )
 display(UpperCAmelCase_     )


if __name__ == "__main__":
 main()







'''simple docstring'''

import argparse
import json

from tqdm import tqdm




def 				UpperCamelCase(					):
 UpperCAmelCase	:     List[Any]						 =			argparse.ArgumentParser()

 # Required parameters
 parser.add_argument(
     '--src_path'  ,	type=UpperCAmelCase_  ,	default='biencoder-nq-dev.json'  ,	help='Path to raw DPR training data'  ,	)
 parser.add_argument(
     '--evaluation_set'  ,	type=UpperCAmelCase_  ,	help='where to store parsed evaluation_set file'  ,	)
 parser.add_argument(
     '--gold_data_path'  ,	type=UpperCAmelCase_  ,	help='where to store parsed gold_data_path file'  ,	)
 UpperCAmelCase	:     int						 =			parser.parse_args()

 with open(args.src_path  ,	'r'     ) as src_file, open(args.evaluation_set  ,	'w'     ) as eval_file, open(
     args.gold_data_path  ,	'w'     ) as gold_file:
  UpperCAmelCase	:     int						 =			json.load(UpperCAmelCase_     )
  for dpr_record in tqdm(UpperCAmelCase_     ):
   UpperCAmelCase	:     Any						 =			dpr_record['question']
   UpperCAmelCase	:     List[str]						 =			[context['title'] for context in dpr_record['positive_ctxs']]
   eval_file.write(question + '\n'     )
   gold_file.write('\t'.join(UpperCAmelCase_     ) + '\n'     )


if __name__ == "__main__":
 main()




