import os
import sys
import time

from . import transposition_cipher as trans_cipher

def        SCREAMING_SNAKE_CASE_					(						)					->     None:
							lowerCAmelCase     		=		'''Prehistoric Men.txt'''
							lowerCAmelCase     		=		'''Output.txt'''
							lowerCAmelCase     		=		int(input('''Enter key: '''							)							)
							lowerCAmelCase     		=		input('''Encrypt/Decrypt [e/d]: '''							)

							if not os.path.exists(snake_case__							):
														print(f"File {input_file} does not exist. Quitting..."							)
														sys.exit()
							if os.path.exists(snake_case__							):
														print(f"Overwrite {output_file}? [y/n]"							)
														lowerCAmelCase     		=		input('''> '''							)
														if not response.lower().startswith('''y'''							):
																					sys.exit()

							lowerCAmelCase     		=		time.time()
							if mode.lower().startswith('''e'''							):
														with open(snake_case__							) as f:
																					lowerCAmelCase     		=		f.read()
														lowerCAmelCase     		=		trans_cipher.encrypt_message(snake_case__       ,  snake_case__							)
							elif mode.lower().startswith('''d'''							):
														with open(snake_case__							) as f:
																					lowerCAmelCase     		=		f.read()
														lowerCAmelCase     		=		trans_cipher.decrypt_message(snake_case__       ,  snake_case__							)

							with open(snake_case__       ,  '''w'''							) as output_obj:
														output_obj.write(snake_case__							)

							lowerCAmelCase     		=		round(time.time() - start_time       ,  2							)
							print(('''Done (''', total_time, '''seconds )''')							)


if __name__ == "__main__":
	main()




# as due to their complexity multi-gpu tests could impact other tests, and to aid debug we have those in a separate module.

import os
import sys

from transformers.testing_utils import TestCasePlus, execute_subprocess_async, get_gpu_count, require_torch_gpu, slow

from .utils import load_json




class        lowercase_  (  UpperCamelCase_						):



	"""simple docstring"""





	@classmethod
	def       SCREAMING_SNAKE_CASE_    (							cls    )						->Union[str, Any]:
								return cls




	@slow
	@require_torch_gpu
	def       SCREAMING_SNAKE_CASE_    (							self    )						->int:
								lowerCAmelCase     		=		self.get_auto_remove_tmp_dir()
								lowerCAmelCase     		=		F"\n            --model_name Helsinki-NLP/opus-mt-en-ro\n            --save_dir {output_dir}\n            --data_dir {self.test_file_dir_str}/test_data/wmt_en_ro\n            --num_beams 2\n            --task translation\n        ".split()

								# we want this test to run even if there is only one GPU, but if there are more we use them all
								lowerCAmelCase     		=		get_gpu_count()
								lowerCAmelCase     		=		F"\n            -m torch.distributed.launch\n            --nproc_per_node={n_gpu}\n            {self.test_file_dir}/run_distributed_eval.py\n        ".split()
								lowerCAmelCase     		=		[sys.executable] + distributed_args + args
								execute_subprocess_async(__SCREAMING_SNAKE_CASE		,      env=self.get_env()    )

								lowerCAmelCase     		=		os.path.join(__SCREAMING_SNAKE_CASE		,      '''test_bleu.json'''    )
								lowerCAmelCase     		=		load_json(__SCREAMING_SNAKE_CASE    )
								# print(metrics)
								self.assertGreaterEqual(metrics['''bleu''']		,      25    )



