






import os
import tempfile
import unittest
from typing import List

from transformers.models.esm.tokenization_esm import VOCAB_FILES_NAMES, EsmTokenizer
from transformers.testing_utils import require_tokenizers
from transformers.tokenization_utils import PreTrainedTokenizer
from transformers.tokenization_utils_base import PreTrainedTokenizerBase







@require_tokenizers
class 	A_       (      unittest.TestCase       ):




	'''simple docstring'''


	_UpperCamelCase					:					Optional[int]										=	EsmTokenizer





	def      SCREAMING_SNAKE_CASE__						(	self	):
		super().setUp()
		lowercase					  =   tempfile.mkdtemp()
		# fmt: off
		lowercase					  =   ['<cls>', '<pad>', '<eos>', '<unk>', 'L', 'A', 'G', 'V', 'S', 'E', 'R', 'T', 'I', 'D', 'P', 'K', 'Q', 'N', 'F', 'Y', 'M', 'H', 'W', 'C', 'X', 'B', 'U', 'Z', 'O', '.', '-', '<null_1>', '<mask>']  # noqa: E501
		# fmt: on
		lowercase					  =   os.path.join(self.tmpdirname		,   VOCAB_FILES_NAMES['vocab_file']	)
		with open(self.vocab_file		,   'w'		,   encoding='utf-8'	) as vocab_writer:
			vocab_writer.write(''.join([x + '\n' for x in vocab_tokens]	)	)





	def      SCREAMING_SNAKE_CASE__						(	self		,   **snake_case	):
		return [self.get_tokenizer(**__UpperCamelCase	)]





	def      SCREAMING_SNAKE_CASE__						(	self		,   **snake_case	):
		return self.tokenizer_class.from_pretrained(self.tmpdirname		,   **__UpperCamelCase	)





	def      SCREAMING_SNAKE_CASE__						(	self	):
		lowercase					  =   self.tokenizer_class(self.vocab_file	)

		lowercase					  =   tokenizer.tokenize('LAGVS'	)
		self.assertListEqual(__UpperCamelCase		,   ['L', 'A', 'G', 'V', 'S']	)
		self.assertListEqual(tokenizer.convert_tokens_to_ids(__UpperCamelCase	)		,   [4, 5, 6, 7, 8]	)





	def      SCREAMING_SNAKE_CASE__						(	self	):
		lowercase					  =   self.tokenizer_class(self.vocab_file	)

		lowercase					  =   'LAGVS'
		self.assertListEqual(tokenizer.encode(__UpperCamelCase	)		,   [0, 4, 5, 6, 7, 8, 2]	)





	def      SCREAMING_SNAKE_CASE__						(	self	):
		lowercase					  =   self.tokenizer_class(self.vocab_file	)

		lowercase					  =   ['LAGVS', 'WCB']
		lowercase					  =   tokenizer(__UpperCamelCase		,   padding=__UpperCamelCase	)['input_ids']

		self.assertListEqual(__UpperCamelCase		,   [[0, 4, 5, 6, 7, 8, 2], [0, 22, 23, 25, 2]]	)





	def      SCREAMING_SNAKE_CASE__						(	self	):
		lowercase					  =   self.tokenizer_class(self.vocab_file	)

		lowercase					  =   ['LAGVS', 'WCB']
		lowercase					  =   tokenizer(__UpperCamelCase		,   padding=__UpperCamelCase	)['input_ids']

		self.assertListEqual(__UpperCamelCase		,   [[0, 4, 5, 6, 7, 8, 2], [0, 22, 23, 25, 2, 1, 1]]	)





	def      SCREAMING_SNAKE_CASE__						(	self	):
		lowercase					  =   self.get_tokenizers(fast=__UpperCamelCase	)
		for tokenizer in tokenizers:
			with self.subTest(F'''{tokenizer.__class__.__name__}'''	):
				lowercase					  =   '<unk>'
				lowercase					  =   '<mask>'

				lowercase					  =   tokenizer.tokenize(__UpperCamelCase	)
				lowercase					  =   tokenizer.tokenize(__UpperCamelCase	)

				self.assertEqual(len(__UpperCamelCase	)		,   1	)
				self.assertEqual(len(__UpperCamelCase	)		,   1	)
				self.assertEqual(token_a[0]		,   __UpperCamelCase	)
				self.assertEqual(token_a[0]		,   __UpperCamelCase	)



from string import ascii_uppercase






def 							UpperCAmelCase_		(							__SCREAMING_SNAKE_CASE			,							__SCREAMING_SNAKE_CASE			,							__SCREAMING_SNAKE_CASE = False			,							__SCREAMING_SNAKE_CASE = ascii_uppercase							):
	lowercase					  =   keyword.upper()
	lowercase					  =   plaintext.upper()
	lowercase					  =   set(__SCREAMING_SNAKE_CASE							)

	# create a list of unique characters in the keyword - their order matters
	# it determines how we will map plaintext characters to the ciphertext
	lowercase					  =   []
	for char in keyword:
		if char in alphabet_set and char not in unique_chars:
			unique_chars.append(__SCREAMING_SNAKE_CASE							)
    # the number of those unique characters will determine the number of rows
	lowercase					  =   len(__SCREAMING_SNAKE_CASE							)

	# create a shifted version of the alphabet
	lowercase					  =   unique_chars + [
	    char for char in alphabet if char not in unique_chars
	]

	# create a modified alphabet by splitting the shifted alphabet into rows
	lowercase					  =   [
	    shifted_alphabet[k : k + num_unique_chars_in_keyword]
	    for k in range(0			,							26			,							__SCREAMING_SNAKE_CASE							)
	]

	# map the alphabet characters to the modified alphabet characters
	# going 'vertically' through the modified alphabet - consider columns first
	lowercase					  =   {}
	lowercase					  =   0
	for column in range(__SCREAMING_SNAKE_CASE							):
		for row in modified_alphabet:
			# if current row (the last one) is too short, break out of loop
			if len(__SCREAMING_SNAKE_CASE							) <= column:
				break

			# map current letter to letter in modified alphabet
			lowercase					  =   row[column]
			letter_index += 1

	if verbose:
		print(__SCREAMING_SNAKE_CASE							)
	# create the encrypted text by mapping the plaintext to the modified alphabet
	return "".join(mapping[char] if char in mapping else char for char in plaintext							)


if __name__ == "__main__":
	# example use
	print(mixed_keyword('''college''', '''UNIVERSITY'''))

