

from collections import defaultdict
from math import gcd

def 	snake_case__			(    SCREAMING_SNAKE_CASE_		:    int = 1_500_000			):



     '''simple docstring'''





     lowercase__    :   defaultdict      =       defaultdict(SCREAMING_SNAKE_CASE_			)
     lowercase__    :   Dict      =       2
     while 2 * euclid_m * (euclid_m + 1) <= limit:
          for euclid_n in range((euclid_m % 2) + 1	,     SCREAMING_SNAKE_CASE_	,     2			):
               if gcd(SCREAMING_SNAKE_CASE_	,     SCREAMING_SNAKE_CASE_			) > 1:
                    continue
               lowercase__    :   Optional[Any]      =       2 * euclid_m * (euclid_m + euclid_n)
               for perimeter in range(SCREAMING_SNAKE_CASE_	,     limit + 1	,     SCREAMING_SNAKE_CASE_			):
                    frequencies[perimeter] += 1
          euclid_m += 1
     return sum(1 for frequency in frequencies.values() if frequency == 1			)


if __name__ == "__main__":
       print(F'''{solution() = }''')




import warnings

from ...utils import logging
from .image_processing_dpt import DPTImageProcessor


snake_case_			  = logging.get_logger(__name__)


class       SCREAMING_SNAKE_CASE__					(__snake_case     ):





    def __init__(      self						,   *a						,   **a):
         warnings.warn(
             'The class DPTFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'
             ' use DPTImageProcessor instead.'						,   a						,   )
         super().__init__(*a						,   **a)

