
'''simple docstring'''

from __future__ import annotations

import math
from collections.abc import Callable




def 				UpperCamelCase(					UpperCAmelCase_  ,	UpperCAmelCase_  ,	UpperCAmelCase_  ,	UpperCAmelCase_ = 1_00  ,	):
 UpperCAmelCase	:     List[str]						 =			x_start
 UpperCAmelCase	:     str						 =			fnc(UpperCamelCase__     )
 UpperCAmelCase	:     int						 =			0.0

 for _ in range(UpperCamelCase__     ):
  # Approximates curve as a sequence of linear lines and sums their length
  UpperCAmelCase	:     Any						 =			(x_end - x_start) / steps + xa
  UpperCAmelCase	:     Dict						 =			fnc(UpperCamelCase__     )
  length += math.hypot(xa - xa  ,	fxa - fxa     )

  # Increment step
  UpperCAmelCase	:     Any						 =			xa
  UpperCAmelCase	:     List[Any]						 =			fxa

 return length


if __name__ == "__main__":




 def 				UpperCamelCase(					UpperCAmelCase_     ):
  return math.sin(10 * x     )

 print("f(x) = sin(10 * x)")
 print("The length of the curve from x = -10 to x = 10 is:")
 lowercase__         =      10
 while i <= 100000:
  print(f'''With {i} steps: {line_length(f, -10, 10, i)}''')
  i *= 10







'''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()




