code: 
  
  
  """simple docstring"""
  
  
  
  
  from itertools import combinations, product
  
  
  
  
  
  def 			a_   (  lowercase__   :int, lowercase__   :int, lowercase__   :int, lowercase__   :int    ):
  			if xa == ya == 0 or xa == ya == 0:
  						return False
  			__lowerCamelCase        =			xa * xa + ya * ya
  			__lowerCamelCase        =			xa * xa + ya * ya
  			__lowerCamelCase        =			(xa - xa) * (xa - xa) + (ya - ya) * (ya - ya)
  			return (
  			    a_square + b_square == c_square
  			    or a_square + c_square == b_square
  			    or b_square + c_square == a_square
  			)
  
  
  
  
  
  def 			a_   (  lowercase__   :int = 50    ):
  			return sum(
  			    1
  			    for pta, pta in combinations(product(range(limit + 1    ), repeat=2    ), 2    )
  			    if is_right(*lowercase__, *lowercase__    )    )
  
  
  if __name__ == "__main__":
  					print(f"""{solution() = }""")
  
  
  
  
  
style_context: 
  
  
  """simple docstring"""
  
  
  
  
  import argparse
  import logging
  import sys
  from unittest.mock import patch
  
  import run_glue_with_pabee
  
  from transformers.testing_utils import TestCasePlus
  
  
  logging.basicConfig(level=logging.DEBUG)
  
  __magic_name__	:   Optional[int]          =							logging.getLogger()
  
  
  
  
  
  def 			a_   (  ):
  			__lowerCamelCase        =			argparse.ArgumentParser()
  			parser.add_argument("""-f"""    )
  			__lowerCamelCase        =			parser.parse_args()
  			return args.f
  
  
  
  
  class  __snake_case      (lowerCamelCase     ):
  
  
  
  
  							def      __a      (    self:						Optional[int]      ):
  										__lowerCamelCase        =			logging.StreamHandler(sys.stdout      )
  										logger.addHandler(A_      )
  
  										__lowerCamelCase        =			self.get_auto_remove_tmp_dir()
  										__lowerCamelCase        =			f'\n            run_glue_with_pabee.py\n            --model_type albert\n            --model_name_or_path albert-base-v2\n            --data_dir ./tests/fixtures/tests_samples/MRPC/\n            --output_dir {tmp_dir}\n            --overwrite_output_dir\n            --task_name mrpc\n            --do_train\n            --do_eval\n            --per_gpu_train_batch_size=2\n            --per_gpu_eval_batch_size=1\n            --learning_rate=2e-5\n            --max_steps=50\n            --warmup_steps=2\n            --seed=42\n            --max_seq_length=128\n            '.split()
  
  										with patch.object(A_    ,       """argv"""    ,       A_      ):
  													__lowerCamelCase        =			run_glue_with_pabee.main()
  													for value in result.values():
  																self.assertGreaterEqual(A_    ,       0.75      )
  
  
  
  
  