
from __future__ import annotations

lowerCamelCase_						: Optional[Any]         =  tuple[int, int, int]
lowerCamelCase_						: str         =  tuple[str, str, str]


# used alphabet --------------------------
# from string.ascii_uppercase
lowerCamelCase_						: List[str]         =  'ABCDEFGHIJKLMNOPQRSTUVWXYZ'

# -------------------------- default selection --------------------------
# rotors --------------------------
lowerCamelCase_						: Union[str, Any]         =  'EGZWVONAHDCLFQMSIPJBYUKXTR'
lowerCamelCase_						: Dict         =  'FOBHMDKEXQNRAULPGSJVTYICZW'
lowerCamelCase_						: Optional[int]         =  'ZJXESIUQLHAVRMDOYGTNFWPBKC'
# reflector --------------------------
lowerCamelCase_						: Any         =  {
    'A': 'N',
    'N': 'A',
    'B': 'O',
    'O': 'B',
    'C': 'P',
    'P': 'C',
    'D': 'Q',
    'Q': 'D',
    'E': 'R',
    'R': 'E',
    'F': 'S',
    'S': 'F',
    'G': 'T',
    'T': 'G',
    'H': 'U',
    'U': 'H',
    'I': 'V',
    'V': 'I',
    'J': 'W',
    'W': 'J',
    'K': 'X',
    'X': 'K',
    'L': 'Y',
    'Y': 'L',
    'M': 'Z',
    'Z': 'M',
}

# -------------------------- extra rotors --------------------------
lowerCamelCase_						: List[str]         =  'RMDJXFUWGISLHVTCQNKYPBEZOA'
lowerCamelCase_						: Any         =  'SGLCPQWZHKXAREONTFBVIYJUDM'
lowerCamelCase_						: int         =  'HVSICLTYKQUBXDWAJZOMFGPREN'
lowerCamelCase_						: Tuple         =  'RZWQHFMVDBKICJLNTUXAGYPSOE'
lowerCamelCase_						: str         =  'LFKIJODBEGAMQPXVUHYSTCZRWN'
lowerCamelCase_						: str         =  'KOAEGVDHXPQZMLFTYWJNBRCIUS'







def        A__					(						lowerCamelCase     ,    lowerCamelCase     ,    lowerCamelCase						)  ->	Union[str, Any]:

				'''simple docstring'''





				if (unique_rotsel := len(set(_lowerCAmelCase						)						)) < 3:
								UpperCamelCase_:							List[str]	=						F'''Please use 3 unique rotors (not {unique_rotsel})'''
								raise Exception(_lowerCAmelCase						)

				# Checks if rotor positions are valid
				UpperCamelCase_:							int	=						rotpos
				if not 0 < rotorposa <= len(_lowerCAmelCase						):
								UpperCamelCase_:							Optional[Any]	=						F'''First rotor position is not within range of 1..26 ({rotorposa}'''
								raise ValueError(_lowerCAmelCase						)
				if not 0 < rotorposa <= len(_lowerCAmelCase						):
								UpperCamelCase_:							Union[str, Any]	=						F'''Second rotor position is not within range of 1..26 ({rotorposa})'''
								raise ValueError(_lowerCAmelCase						)
				if not 0 < rotorposa <= len(_lowerCAmelCase						):
								UpperCamelCase_:							Optional[int]	=						F'''Third rotor position is not within range of 1..26 ({rotorposa})'''
								raise ValueError(_lowerCAmelCase						)

				# Validates string and returns dict
				UpperCamelCase_:							str	=						_plugboard(_lowerCAmelCase						)

				return rotpos, rotsel, pbdict







def        A__					(						lowerCamelCase						)  ->	List[str]:

				'''simple docstring'''





				if not isinstance(_lowerCAmelCase     ,    _lowerCAmelCase						):
								UpperCamelCase_:							List[str]	=						F'''Plugboard setting isn\'t type string ({type(_lowerCAmelCase						)})'''
								raise TypeError(_lowerCAmelCase						)
				elif len(_lowerCAmelCase						) % 2 != 0:
								UpperCamelCase_:							Optional[int]	=						F'''Odd number of symbols ({len(_lowerCAmelCase						)})'''
								raise Exception(_lowerCAmelCase						)
				elif pbstring == "":
								return {}

				pbstring.replace(""" """     ,    """"""						)

				# Checks if all characters are unique
				UpperCamelCase_:							Union[str, Any]	=						set()
				for i in pbstring:
								if i not in abc:
												UpperCamelCase_:							List[Any]	=						F'''\'{i}\' not in list of symbols'''
												raise Exception(_lowerCAmelCase						)
								elif i in tmppbl:
												UpperCamelCase_:							Optional[int]	=						F'''Duplicate symbol ({i})'''
												raise Exception(_lowerCAmelCase						)
								else:
												tmppbl.add(_lowerCAmelCase						)
				del tmppbl

				# Created the dictionary
				UpperCamelCase_:							List[Any]	=						{}
				for j in range(0     ,    len(_lowerCAmelCase						) - 1     ,    2						):
								UpperCamelCase_:							List[Any]	=						pbstring[j + 1]
								UpperCamelCase_:							Union[str, Any]	=						pbstring[j]

				return pb







def        A__					(						lowerCamelCase     ,    lowerCamelCase     ,    lowerCamelCase = (rotora, rotora, rotora)     ,    lowerCamelCase = ""     ,    )  ->	Dict:

				'''simple docstring'''





				UpperCamelCase_:							Optional[int]	=						text.upper()
				UpperCamelCase_:							Union[str, Any]	=						_validator(
				    _lowerCAmelCase     ,    _lowerCAmelCase     ,    plugb.upper()						)

				UpperCamelCase_:							Tuple	=						rotor_position
				UpperCamelCase_:							Tuple	=						rotor_selection
				rotorposa -= 1
				rotorposa -= 1
				rotorposa -= 1

				UpperCamelCase_:							List[Any]	=						[]

				# encryption/decryption process --------------------------
				for symbol in text:
								if symbol in abc:
												# 1st plugboard --------------------------
												if symbol in plugboard:
																UpperCamelCase_:							int	=						plugboard[symbol]

												# rotor ra --------------------------
												UpperCamelCase_:							int	=						abc.index(_lowerCAmelCase						) + rotorposa
												UpperCamelCase_:							Dict	=						rotora[index % len(_lowerCAmelCase						)]

												# rotor rb --------------------------
												UpperCamelCase_:							int	=						abc.index(_lowerCAmelCase						) + rotorposa
												UpperCamelCase_:							Union[str, Any]	=						rotora[index % len(_lowerCAmelCase						)]

												# rotor rc --------------------------
												UpperCamelCase_:							List[str]	=						abc.index(_lowerCAmelCase						) + rotorposa
												UpperCamelCase_:							int	=						rotora[index % len(_lowerCAmelCase						)]

												# reflector --------------------------
												# this is the reason you don't need another machine to decipher

												UpperCamelCase_:							List[str]	=						reflector[symbol]

												# 2nd rotors
												UpperCamelCase_:							List[str]	=						abc[rotora.index(_lowerCAmelCase						) - rotorposa]
												UpperCamelCase_:							Any	=						abc[rotora.index(_lowerCAmelCase						) - rotorposa]
												UpperCamelCase_:							List[Any]	=						abc[rotora.index(_lowerCAmelCase						) - rotorposa]

												# 2nd plugboard
												if symbol in plugboard:
																UpperCamelCase_:							List[str]	=						plugboard[symbol]

												# moves/resets rotor positions
												rotorposa += 1
												if rotorposa >= len(_lowerCAmelCase						):
																UpperCamelCase_:							List[str]	=						0
																rotorposa += 1
												if rotorposa >= len(_lowerCAmelCase						):
																UpperCamelCase_:							str	=						0
																rotorposa += 1
												if rotorposa >= len(_lowerCAmelCase						):
																UpperCamelCase_:							str	=						0

        # else:
        #    pass
        #    Error could be also raised
        #    raise ValueError(
        #       'Invalid symbol('+repr(symbol)+')')
								result.append(_lowerCAmelCase						)

				return "".join(_lowerCAmelCase						)


if __name__ == "__main__":
							lowerCamelCase_						: int         =  'This is my Python script that emulates the Enigma machine from WWII.'
							lowerCamelCase_						: Union[str, Any]         =  (1, 1, 1)
							lowerCamelCase_						: int         =  'pictures'
							lowerCamelCase_						: Tuple         =  (rotora, rotora, rotora)
							lowerCamelCase_						: Optional[Any]         =  enigma(message, rotor_pos, rotor_sel, pb)

							print("""Encrypted message:""", en)
							print("""Decrypted message:""", enigma(en, rotor_pos, rotor_sel, pb))








import json
import logging
import os
import sys
from pathlib import Path

import finetune_rag

from transformers.file_utils import is_apex_available
from transformers.testing_utils import (
    TestCasePlus,
    execute_subprocess_async,
    require_ray,
    require_torch_gpu,
    require_torch_multi_gpu,
)


logging.basicConfig(level=logging.DEBUG)
lowerCamelCase_						: Union[str, Any]         =  logging.getLogger()

lowerCamelCase_						: List[str]         =  logging.StreamHandler(sys.stdout)
logger.addHandler(stream_handler)

class        _UpperCamelCase				(					_A  ):






			'''simple docstring'''

			def       lowerCAmelCase__	(       self :       List[Any]						,	snake_case_ :       Dict      ):
							os.makedirs(snake_case_						,	exist_ok=snake_case_      )
							UpperCamelCase_:							int	=						{"""source""": """What is love ?""", """target""": """life"""}
							UpperCamelCase_:							Tuple	=						{"""train""": 12, """val""": 2, """test""": 2}
							for split in ["train", "test", "val"]:
											for field in ["source", "target"]:
															UpperCamelCase_:							Tuple	=						"""\n""".join([contents[field]] * n_lines[split]      )
															with open(os.path.join(snake_case_						,	f'''{split}.{field}'''      )						,	"""w"""      ) as f:
																			f.write(snake_case_      )

			def       lowerCAmelCase__	(       self :       Dict						,	snake_case_ :       int						,	snake_case_ :       str = "pytorch"      ):
							UpperCamelCase_:							Optional[Any]	=						self.get_auto_remove_tmp_dir()
							UpperCamelCase_:							Dict	=						os.path.join(snake_case_						,	"""output"""      )
							UpperCamelCase_:							Any	=						os.path.join(snake_case_						,	"""data"""      )
							self._create_dummy_data(data_dir=snake_case_      )

							UpperCamelCase_:							Union[str, Any]	=						f'''
                --data_dir {data_dir} \
                --output_dir {output_dir} \
                --model_name_or_path facebook/rag-sequence-base \
                --model_type rag_sequence \
                --do_train \
                --do_predict \
                --n_val -1 \
                --val_check_interval 1.0 \
                --train_batch_size 2 \
                --eval_batch_size 1 \
                --max_source_length 25 \
                --max_target_length 25 \
                --val_max_target_length 25 \
                --test_max_target_length 25 \
                --label_smoothing 0.1 \
                --dropout 0.1 \
                --attention_dropout 0.1 \
                --weight_decay 0.001 \
                --adam_epsilon 1e-08 \
                --max_grad_norm 0.1 \
                --lr_scheduler polynomial \
                --learning_rate 3e-04 \
                --num_train_epochs 1 \
                --warmup_steps 4 \
                --gradient_accumulation_steps 1 \
                --distributed-port 8787 \
                --use_dummy_dataset 1 \
                --distributed_retriever {distributed_retriever} \
            '''.split()

							if gpus > 0:
											testargs.append(f'''--gpus={gpus}'''      )
											if is_apex_available():
															testargs.append("""--fp16"""      )
							else:
											testargs.append("""--gpus=0"""      )
											testargs.append("""--distributed_backend=ddp_cpu"""      )
											testargs.append("""--num_processes=2"""      )

							UpperCamelCase_:							Optional[Any]	=						[sys.executable, str(Path(finetune_rag.__file__      ).resolve()      )] + testargs
							execute_subprocess_async(snake_case_						,	env=self.get_env()      )

							UpperCamelCase_:							Optional[int]	=						os.path.join(snake_case_						,	"""metrics.json"""      )
							with open(snake_case_      ) as f:
											UpperCamelCase_:							Any	=						json.load(snake_case_      )
							return result

			@require_torch_gpu
			def       lowerCAmelCase__	(       self :       Optional[Any]      ):
							UpperCamelCase_:							List[str]	=						self._run_finetune(gpus=1      )
							self.assertGreaterEqual(result["""test"""][0]["""test_avg_em"""]						,	0.2      )

			@require_torch_multi_gpu
			def       lowerCAmelCase__	(       self :       Optional[Any]      ):
							UpperCamelCase_:							Any	=						self._run_finetune(gpus=2      )
							self.assertGreaterEqual(result["""test"""][0]["""test_avg_em"""]						,	0.2      )

			@require_torch_gpu
			@require_ray
			def       lowerCAmelCase__	(       self :       Dict      ):
							UpperCamelCase_:							List[Any]	=						self._run_finetune(gpus=1						,	distributed_retriever="""ray"""      )
							self.assertGreaterEqual(result["""test"""][0]["""test_avg_em"""]						,	0.2      )




			@require_torch_multi_gpu
			@require_ray
			def       lowerCAmelCase__	(       self :       Dict      ):
							UpperCamelCase_:							List[Any]	=						self._run_finetune(gpus=1						,	distributed_retriever="""ray"""      )
							self.assertGreaterEqual(result["""test"""][0]["""test_avg_em"""]						,	0.2      )






