
from __future__ import annotations

_A   =     tuple[int, int, int]
_A   =     tuple[str, str, str]


# used alphabet --------------------------
# from string.ascii_uppercase
_A   =     "ABCDEFGHIJKLMNOPQRSTUVWXYZ"

# -------------------------- default selection --------------------------
# rotors --------------------------
_A   =     "EGZWVONAHDCLFQMSIPJBYUKXTR"
_A   =     "FOBHMDKEXQNRAULPGSJVTYICZW"
_A   =     "ZJXESIUQLHAVRMDOYGTNFWPBKC"
# reflector --------------------------
_A   =     {
    "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   =     "RMDJXFUWGISLHVTCQNKYPBEZOA"
_A   =     "SGLCPQWZHKXAREONTFBVIYJUDM"
_A   =     "HVSICLTYKQUBXDWAJZOMFGPREN"
_A   =     "RZWQHFMVDBKICJLNTUXAGYPSOE"
_A   =     "LFKIJODBEGAMQPXVUHYSTCZRWN"
_A   =     "KOAEGVDHXPQZMLFTYWJNBRCIUS"






def    lowerCamelCase__				(				__lowerCAmelCase  :  RotorPositionT    ,							__lowerCAmelCase  :  RotorSelectionT    ,							__lowerCAmelCase  :  str				):




			"""simple docstring"""


			if (unique_rotsel := len(set(__lowerCAmelCase				)				)) < 3:
						lowerCAmelCase_						=	F"""Please use 3 unique rotors (not {unique_rotsel})"""
						raise Exception(__lowerCAmelCase				)

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

			# Validates string and returns dict
			lowerCAmelCase_						=	_plugboard(__lowerCAmelCase				)

			return rotpos, rotsel, pbdict






def    lowerCamelCase__				(				__lowerCAmelCase  :  str				):




			"""simple docstring"""


			if not isinstance(__lowerCAmelCase    ,							__lowerCAmelCase				):
						lowerCAmelCase_						=	F"""Plugboard setting isn't type string ({type(__lowerCAmelCase				)})"""
						raise TypeError(__lowerCAmelCase				)
			elif len(__lowerCAmelCase				) % 2 != 0:
						lowerCAmelCase_						=	F"""Odd number of symbols ({len(__lowerCAmelCase				)})"""
						raise Exception(__lowerCAmelCase				)
			elif pbstring == "":
						return {}

			pbstring.replace(" "    ,							""				)

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

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

			return pb






def    lowerCamelCase__				(				__lowerCAmelCase  :  str    ,							__lowerCAmelCase  :  RotorPositionT    ,							__lowerCAmelCase  :  RotorSelectionT = (rotora, rotora, rotora)    ,							__lowerCAmelCase  :  str = ""    ,							):




			"""simple docstring"""


			lowerCAmelCase_						=	text.upper()
			lowerCAmelCase_	,  lowerCAmelCase_	,  lowerCAmelCase_						=	_validator(
			    __lowerCAmelCase    ,							__lowerCAmelCase    ,							plugb.upper()				)

			lowerCAmelCase_	,  lowerCAmelCase_	,  lowerCAmelCase_						=	rotor_position
			lowerCAmelCase_	,  lowerCAmelCase_	,  lowerCAmelCase_						=	rotor_selection
			rotorposa -= 1
			rotorposa -= 1
			rotorposa -= 1

			lowerCAmelCase_						=	[]

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

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

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

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

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

									lowerCAmelCase_						=	reflector[symbol]

									# 2nd rotors
									lowerCAmelCase_						=	abc[rotora.index(__lowerCAmelCase				) - rotorposa]
									lowerCAmelCase_						=	abc[rotora.index(__lowerCAmelCase				) - rotorposa]
									lowerCAmelCase_						=	abc[rotora.index(__lowerCAmelCase				) - rotorposa]

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

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

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

			return "".join(__lowerCAmelCase				)


if __name__ == "__main__":
			_A   =     "This is my Python script that emulates the Enigma machine from WWII."
			_A   =     (1, 1, 1)
			_A   =     "pictures"
			_A   =     (rotora, rotora, rotora)
			_A   =     enigma(message, rotor_pos, rotor_sel, pb)

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





import json
import os
import unittest

from transformers import CLIPTokenizer, CLIPTokenizerFast
from transformers.models.clip.tokenization_clip import VOCAB_FILES_NAMES
from transformers.testing_utils import require_ftfy, require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin





@require_tokenizers
class 	_lowerCAmelCase					(	__a					,      unittest.TestCase       ):
				_lowercase					=CLIPTokenizer
				_lowercase					=CLIPTokenizerFast
				_lowercase					=True
				_lowercase					={}
				_lowercase					=False




				def      __a						(					self     )				->      Dict:
							super().setUp()

							# fmt: off
							lowerCAmelCase_						=	["l", "o", "w", "e", "r", "s", "t", "i", "d", "n", "lo", "l</w>", "w</w>", "r</w>", "t</w>", "low</w>", "er</w>", "lowest</w>", "newer</w>", "wider", "<unk>", "<|startoftext|>", "<|endoftext|>"]
							# fmt: on
							lowerCAmelCase_						=	dict(zip(_UpperCamelCase				,				range(len(_UpperCamelCase     )     )     )     )
							lowerCAmelCase_						=	["#version: 0.2", "l o", "lo w</w>", "e r</w>"]
							lowerCAmelCase_						=	{"unk_token": "<unk>"}

							lowerCAmelCase_						=	os.path.join(self.tmpdirname				,				VOCAB_FILES_NAMES["vocab_file"]     )
							lowerCAmelCase_						=	os.path.join(self.tmpdirname				,				VOCAB_FILES_NAMES["merges_file"]     )
							with open(self.vocab_file				,				"w"				,				encoding="utf-8"     ) as fp:
										fp.write(json.dumps(_UpperCamelCase     ) + "\n"     )
							with open(self.merges_file				,				"w"				,				encoding="utf-8"     ) as fp:
										fp.write("\n".join(_UpperCamelCase     )     )




				def      __a						(					self				,				**_UpperCamelCase     )				->      Any:
							kwargs.update(self.special_tokens_map     )
							return CLIPTokenizer.from_pretrained(self.tmpdirname				,				**_UpperCamelCase     )




				def      __a						(					self				,				**_UpperCamelCase     )				->      int:
							kwargs.update(self.special_tokens_map     )
							return CLIPTokenizerFast.from_pretrained(self.tmpdirname				,				**_UpperCamelCase     )




				def      __a						(					self				,				_UpperCamelCase     )				->      List[str]:
							lowerCAmelCase_						=	"lower newer"
							lowerCAmelCase_						=	"lower newer"
							return input_text, output_text




				def      __a						(					self     )				->      List[Any]:
							lowerCAmelCase_						=	CLIPTokenizer(self.vocab_file				,				self.merges_file				,				**self.special_tokens_map     )
							lowerCAmelCase_						=	"lower newer"
							lowerCAmelCase_						=	["lo", "w", "er</w>", "n", "e", "w", "er</w>"]
							lowerCAmelCase_						=	tokenizer.tokenize(_UpperCamelCase     )
							self.assertListEqual(_UpperCamelCase				,				_UpperCamelCase     )

							lowerCAmelCase_						=	tokens + [tokenizer.unk_token]
							lowerCAmelCase_						=	[10, 2, 16, 9, 3, 2, 16, 20]
							self.assertListEqual(tokenizer.convert_tokens_to_ids(_UpperCamelCase     )				,				_UpperCamelCase     )




				@require_ftfy
				def      __a						(					self     )				->      Union[str, Any]:
							for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
										with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})"""     ):
													lowerCAmelCase_						=	self.tokenizer_class.from_pretrained(_UpperCamelCase				,				**_UpperCamelCase     )
													lowerCAmelCase_						=	self.rust_tokenizer_class.from_pretrained(_UpperCamelCase				,				**_UpperCamelCase     )

													lowerCAmelCase_						=	"A\n'll 11p223RF☆ho!!to?'d'd''d of a cat to-$''d."
													lowerCAmelCase_						=	tokenizer_s.tokenize(_UpperCamelCase     )
													lowerCAmelCase_						=	tokenizer_r.tokenize(_UpperCamelCase     )

													self.assertListEqual(_UpperCamelCase				,				_UpperCamelCase     )

													# Test that the tokenization is identical on an example containing a character (Latin Small Letter A
													# with Tilde) encoded in 2 different ways
													lowerCAmelCase_						=	"xa\u0303y" + " " + "x\xe3y"
													lowerCAmelCase_						=	tokenizer_s.tokenize(_UpperCamelCase     )
													lowerCAmelCase_						=	tokenizer_r.tokenize(_UpperCamelCase     )

													self.assertListEqual(_UpperCamelCase				,				_UpperCamelCase     )

													# Test that the tokenization is identical on unicode of space type
													lowerCAmelCase_						=	[
													    "\u0009",  # (horizontal tab, '\t')
													    "\u000B",  # (vertical tab)
													    "\u000C",  # (form feed)
													    "\u0020",  # (space, ' ')
													    "\u200E",  # (left-to-right mark):w
													    "\u200F",  # (right-to-left mark)
													]
													for unicode_seq in spaces_unicodes:
																lowerCAmelCase_						=	tokenizer_s.tokenize(_UpperCamelCase     )
																lowerCAmelCase_						=	tokenizer_r.tokenize(_UpperCamelCase     )

																self.assertListEqual(_UpperCamelCase				,				_UpperCamelCase     )

													# Test that the tokenization is identical on unicode of line break type
													lowerCAmelCase_						=	[
													    "\u000A",  # (line feed, '\n')
													    "\r\n",  # (carriage return and line feed, '\r\n')
													    "\u000D",  # (carriage return, '\r')
													    "\r",  # (carriage return, '\r')
													    "\u000D",  # (carriage return, '\r')
													    "\u2028",  # (line separator)
													    "\u2029",  # (paragraph separator)
													    # "\u0085", # (next line)
													]

													# The tokenization is not identical for the character "\u0085" (next line). The slow version using ftfy transforms
													# it into the Horizontal Ellipsis character "…" ("\u2026") while the fast version transforms it into a
													# space (and thus into an empty list).

													for unicode_seq in line_break_unicodes:
																lowerCAmelCase_						=	tokenizer_s.tokenize(_UpperCamelCase     )
																lowerCAmelCase_						=	tokenizer_r.tokenize(_UpperCamelCase     )

																self.assertListEqual(_UpperCamelCase				,				_UpperCamelCase     )




				def      __a						(					self     )				->      str:
							# Test which aims to verify that the offsets are well adapted to the argument `add_prefix_space`
							for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
										with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})"""     ):
													lowerCAmelCase_						=	"hello"  # `hello` is a token in the vocabulary of `pretrained_name`
													lowerCAmelCase_						=	f"""{text_of_1_token} {text_of_1_token}"""

													lowerCAmelCase_						=	self.rust_tokenizer_class.from_pretrained(
													    _UpperCamelCase				,				use_fast=_UpperCamelCase				,				)
													lowerCAmelCase_						=	tokenizer_r(_UpperCamelCase				,				return_offsets_mapping=_UpperCamelCase				,				add_special_tokens=_UpperCamelCase     )
													self.assertEqual(encoding.offset_mapping[0]				,				(0, len(_UpperCamelCase     ))     )
													self.assertEqual(
													    encoding.offset_mapping[1]				,				(len(_UpperCamelCase     ) + 1, len(_UpperCamelCase     ) + 1 + len(_UpperCamelCase     ))				,				)

													lowerCAmelCase_						=	f""" {text}"""

													lowerCAmelCase_						=	self.rust_tokenizer_class.from_pretrained(
													    _UpperCamelCase				,				use_fast=_UpperCamelCase				,				)
													lowerCAmelCase_						=	tokenizer_r(_UpperCamelCase				,				return_offsets_mapping=_UpperCamelCase				,				add_special_tokens=_UpperCamelCase     )
													self.assertEqual(encoding.offset_mapping[0]				,				(1, 1 + len(_UpperCamelCase     ))     )
													self.assertEqual(
													    encoding.offset_mapping[1]				,				(1 + len(_UpperCamelCase     ) + 1, 1 + len(_UpperCamelCase     ) + 1 + len(_UpperCamelCase     ))				,				)




				def      __a						(					self     )				->      Optional[Any]:
							# Test related to the breaking change introduced in transformers v4.17.0
							# We need to check that an error in raised when the user try to load a previous version of the tokenizer.
							with self.assertRaises(_UpperCamelCase     ) as context:
										self.rust_tokenizer_class.from_pretrained("robot-test/old-clip-tokenizer"     )

							self.assertTrue(
							    context.exception.args[0].startswith(
							        "The `backend_tokenizer` provided does not match the expected format."     )     )




				@require_ftfy
				def      __a						(					self     )				->      str:
							super().test_tokenization_python_rust_equals()




				def      __a						(					self     )				->      Any:
							# CLIP always lower cases letters
							pass



