





"""simple docstring"""




import itertools





def 			a_							(				_lowercase = 100_0000  ):
						_UpperCamelCase     :   Any      =       [1]

						for i in itertools.count(len(_lowercase  )  ):
												_UpperCamelCase     :   Optional[Any]      =       0
												for j in itertools.count(1  ):
																		_UpperCamelCase     :   List[str]      =       -1 if j % 2 == 0 else +1
																		_UpperCamelCase     :   Tuple      =       (j * j * 3 - j) // 2
																		if index > i:
																								break
																		item += partitions[i - index] * sign
																		item %= number
																		index += j
																		if index > i:
																								break
																		item += partitions[i - index] * sign
																		item %= number

												if item == 0:
																		return i
												partitions.append(_lowercase  )

						return 0


if __name__ == "__main__":
						import doctest

						doctest.testmod()

						print(F"{solution() = }")





"""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)

__lowerCAmelCase							:  Dict 				=		logging.getLogger()

def __snake_case (      )       ->    Optional[int]:


		"""simple docstring"""





		a__   		=     argparse.ArgumentParser()
		parser.add_argument('''-f'''    )
		a__   		=     parser.parse_args()
		return args.f




class SCREAMING_SNAKE_CASE       (      lowerCAmelCase					):






	'''simple docstring'''







	def    _UpperCamelCase							(  self :Tuple			)			->   Union[str, Any]:

			'''simple docstring'''






			a__   		=     logging.StreamHandler(sys.stdout			)
			logger.addHandler(__magic_name__			)

			a__   		=     self.get_auto_remove_tmp_dir()
			a__   		=     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(__magic_name__       ,    '''argv'''       ,    __magic_name__			):
					a__   		=     run_glue_with_pabee.main()
					for value in result.values():
							self.assertGreaterEqual(__magic_name__       ,    0.75			)




