"""simple docstring"""






import logging
from dataclasses import dataclass, field
from pathlib import Path
from typing import Optional, Union

from .generation.configuration_utils import GenerationConfig
from .training_args import TrainingArguments
from .utils import add_start_docstrings


lowerCAmelCase__						:						List[str]		  =			logging.getLogger(__name__)
@dataclass
@add_start_docstrings(TrainingArguments.__doc__       )
class        snake_case (				__UpperCAmelCase       ):




					"""simple docstring"""

					snake_case__       					=				field(default=__UpperCAmelCase   ,					metadata={"help": "Whether to use SortishSampler or not."}       )
					snake_case__       					=				field(
					    default=__UpperCAmelCase   ,					metadata={"help": "Whether to use generate to calculate generative metrics (ROUGE, BLEU)."}       )
					snake_case__       					=				field(
					    default=__UpperCAmelCase   ,					metadata={
					        "help": (
					            "The `max_length` to use on each evaluation loop when `predict_with_generate=True`. Will default "
					            "to the `max_length` value of the model configuration."
					        )
					    }   ,					)
					snake_case__       					=				field(
					    default=__UpperCAmelCase   ,					metadata={
					        "help": (
					            "The `num_beams` to use on each evaluation loop when `predict_with_generate=True`. Will default "
					            "to the `num_beams` value of the model configuration."
					        )
					    }   ,					)
					snake_case__       					=				field(
					    default=__UpperCAmelCase   ,					metadata={
					        "help": "Model id, file path or url pointing to a GenerationConfig json file, to use during prediction."
					    }   ,					)







					def 	__lowerCAmelCase		(       self     :			List[str]    ):
									UpperCAmelCase__    =							super().to_dict()
									for k, v in d.items():
													if isinstance(lowerCamelCase__					,lowerCamelCase__    ):
																	UpperCAmelCase__    =							v.to_dict()
									return d




"""simple docstring"""






import random
class        snake_case :




					"""simple docstring"""

					@staticmethod
					def 	__lowerCAmelCase		(       lowerCamelCase__     :			str    ):
									UpperCAmelCase__    =							[ord(lowerCamelCase__    ) for i in text]
									UpperCAmelCase__    =							[]
									UpperCAmelCase__    =							[]
									for i in plain:
													UpperCAmelCase__    =							random.randint(1					,300    )
													UpperCAmelCase__    =							(i + k) * k
													cipher.append(lowerCamelCase__    )
													key.append(lowerCamelCase__    )
									return cipher, key







					@staticmethod
					def 	__lowerCAmelCase		(       lowerCamelCase__     :			list[int]					,lowerCamelCase__     :			list[int]    ):
									UpperCAmelCase__    =							[]
									for i in range(len(lowerCamelCase__    )    ):
													UpperCAmelCase__    =							int((cipher[i] - (key[i]) ** 2) / key[i]    )
													plain.append(chr(lowerCamelCase__    )    )
									return "".join(lowerCamelCase__    )


if __name__ == "__main__":
						lowerCAmelCase__  ,			lowerCAmelCase__						:						Dict		  =			Onepad().encrypt('Hello')
						print(c, k)
						print(Onepad().decrypt(c, k))



