






"""simple docstring"""







from __future__ import annotations

__a       :	Any             = tuple[int, int, int]
__a       :	Dict             = tuple[str, str, str]


# used alphabet --------------------------
# from string.ascii_uppercase
__a       :	Optional[Any]             = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ'

# -------------------------- default selection --------------------------
# rotors --------------------------
__a       :	int             = 'EGZWVONAHDCLFQMSIPJBYUKXTR'
__a       :	Any             = 'FOBHMDKEXQNRAULPGSJVTYICZW'
__a       :	Union[str, Any]             = 'ZJXESIUQLHAVRMDOYGTNFWPBKC'
# reflector --------------------------
__a       :	Dict             = {
    '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 --------------------------
__a       :	List[Any]             = 'RMDJXFUWGISLHVTCQNKYPBEZOA'
__a       :	Union[str, Any]             = 'SGLCPQWZHKXAREONTFBVIYJUDM'
__a       :	List[Any]             = 'HVSICLTYKQUBXDWAJZOMFGPREN'
__a       :	List[str]             = 'RZWQHFMVDBKICJLNTUXAGYPSOE'
__a       :	List[str]             = 'LFKIJODBEGAMQPXVUHYSTCZRWN'
__a       :	Optional[Any]             = 'KOAEGVDHXPQZMLFTYWJNBRCIUS'





def        SCREAMING_SNAKE_CASE       (      lowerCamelCase_ ,     lowerCamelCase_ ,     lowerCamelCase_):
					# Checks if there are 3 unique rotors

					if (unique_rotsel := len(set(lowerCamelCase_))) < 3:
										a__          =  f'Please use 3 unique rotors (not {unique_rotsel})'
										raise Exception(lowerCamelCase_)

					# Checks if rotor positions are valid
					a__       ,a__       ,a__          =  rotpos
					if not 0 < rotorposa <= len(lowerCamelCase_):
										a__          =  f'First rotor position is not within range of 1..26 ({rotorposa}'
										raise ValueError(lowerCamelCase_)
					if not 0 < rotorposa <= len(lowerCamelCase_):
										a__          =  f'Second rotor position is not within range of 1..26 ({rotorposa})'
										raise ValueError(lowerCamelCase_)
					if not 0 < rotorposa <= len(lowerCamelCase_):
										a__          =  f'Third rotor position is not within range of 1..26 ({rotorposa})'
										raise ValueError(lowerCamelCase_)

					# Validates string and returns dict
					a__          =  _plugboard(lowerCamelCase_)

					return rotpos, rotsel, pbdict





def        SCREAMING_SNAKE_CASE       (      lowerCamelCase_):

					# tests the input string if it
					# a) is type string
					# b) has even length (so pairs can be made)
					if not isinstance(lowerCamelCase_ ,     lowerCamelCase_):
										a__          =  f'Plugboard setting isn\'t type string ({type(lowerCamelCase_)})'
										raise TypeError(lowerCamelCase_)
					elif len(lowerCamelCase_) % 2 != 0:
										a__          =  f'Odd number of symbols ({len(lowerCamelCase_)})'
										raise Exception(lowerCamelCase_)
					elif pbstring == "":
										return {}

					pbstring.replace(''' ''' ,     '''''')

					# Checks if all characters are unique
					a__          =  set()
					for i in pbstring:
										if i not in abc:
															a__          =  f'\'{i}\' not in list of symbols'
															raise Exception(lowerCamelCase_)
										elif i in tmppbl:
															a__          =  f'Duplicate symbol ({i})'
															raise Exception(lowerCamelCase_)
										else:
															tmppbl.add(lowerCamelCase_)
					del tmppbl

					# Created the dictionary
					a__          =  {}
					for j in range(0 ,     len(lowerCamelCase_) - 1 ,     2):
										a__          =  pbstring[j + 1]
										a__          =  pbstring[j]

					return pb





def        SCREAMING_SNAKE_CASE       (      lowerCamelCase_ ,     lowerCamelCase_ ,     lowerCamelCase_ = (rotora, rotora, rotora) ,     lowerCamelCase_ = "" ,     ):
					a__          =  text.upper()
					a__       ,a__       ,a__          =  _validator(
					    lowerCamelCase_ ,     lowerCamelCase_ ,     plugb.upper())

					a__       ,a__       ,a__          =  rotor_position
					a__       ,a__       ,a__          =  rotor_selection
					rotorposa -= 1
					rotorposa -= 1
					rotorposa -= 1

					a__          =  []

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

															# rotor ra --------------------------
															a__          =  abc.index(lowerCamelCase_) + rotorposa
															a__          =  rotora[index % len(lowerCamelCase_)]

															# rotor rb --------------------------
															a__          =  abc.index(lowerCamelCase_) + rotorposa
															a__          =  rotora[index % len(lowerCamelCase_)]

															# rotor rc --------------------------
															a__          =  abc.index(lowerCamelCase_) + rotorposa
															a__          =  rotora[index % len(lowerCamelCase_)]

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

															a__          =  reflector[symbol]

															# 2nd rotors
															a__          =  abc[rotora.index(lowerCamelCase_) - rotorposa]
															a__          =  abc[rotora.index(lowerCamelCase_) - rotorposa]
															a__          =  abc[rotora.index(lowerCamelCase_) - rotorposa]

															# 2nd plugboard
															if symbol in plugboard:
																				a__          =  plugboard[symbol]

															# moves/resets rotor positions
															rotorposa += 1
															if rotorposa >= len(lowerCamelCase_):
																				a__          =  0
																				rotorposa += 1
															if rotorposa >= len(lowerCamelCase_):
																				a__          =  0
																				rotorposa += 1
															if rotorposa >= len(lowerCamelCase_):
																				a__          =  0

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

					return "".join(lowerCamelCase_)


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

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










"""simple docstring"""







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)
__a       :	Optional[int]             = logging.getLogger()

__a       :	Any             = logging.StreamHandler(sys.stdout)
logger.addHandler(stream_handler)







class        _SCREAMING_SNAKE_CASE						(  __snake_case							):





							"""simple docstring"""





							def  lowercase		(   self:     List[Any]				,		__A:     List[Any]    ):

												'''simple docstring'''

												os.makedirs(__A				,		exist_ok=__A    )
												a__          =  {'''source''': '''What is love ?''', '''target''': '''life'''}
												a__          =  {'''train''': 12, '''val''': 2, '''test''': 2}
												for split in ["train", "test", "val"]:
																	for field in ["source", "target"]:
																						a__          =  '''\n'''.join([contents[field]] * n_lines[split]    )
																						with open(os.path.join(__A				,		F'{split}.{field}'    )				,		'''w'''    ) as f:
																											f.write(__A    )




							def  lowercase		(   self:     Optional[int]				,		__A:     int				,		__A:     str = "pytorch"    ):

												'''simple docstring'''

												a__          =  self.get_auto_remove_tmp_dir()
												a__          =  os.path.join(__A				,		'''output'''    )
												a__          =  os.path.join(__A				,		'''data'''    )
												self._create_dummy_data(data_dir=__A    )

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

												a__          =  [sys.executable, str(Path(finetune_rag.__file__    ).resolve()    )] + testargs
												execute_subprocess_async(__A				,		env=self.get_env()    )

												a__          =  os.path.join(__A				,		'''metrics.json'''    )
												with open(__A    ) as f:
																	a__          =  json.load(__A    )
												return result




							@require_torch_gpu
							def  lowercase		(   self:     Optional[int]    ):

												'''simple docstring'''

												a__          =  self._run_finetune(gpus=1    )
												self.assertGreaterEqual(result['''test'''][0]['''test_avg_em''']				,		0.2    )




							@require_torch_multi_gpu
							def  lowercase		(   self:     str    ):

												'''simple docstring'''

												a__          =  self._run_finetune(gpus=2    )
												self.assertGreaterEqual(result['''test'''][0]['''test_avg_em''']				,		0.2    )




							@require_torch_gpu
							@require_ray
							def  lowercase		(   self:     Dict    ):

												'''simple docstring'''

												a__          =  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  lowercase		(   self:     str    ):

												'''simple docstring'''

												a__          =  self._run_finetune(gpus=1				,		distributed_retriever='''ray'''    )
												self.assertGreaterEqual(result['''test'''][0]['''test_avg_em''']				,		0.2    )


