






"""simple docstring"""




def     lowerCAmelCase__  (  UpperCamelCase__  ,     UpperCamelCase__  ,     UpperCamelCase__  ,     UpperCamelCase__  ,     UpperCamelCase__  ,     UpperCamelCase__  ,     ):



		'''simple docstring'''
		_a						: List[Any]    =			list(_UpperCAmelCase       )
		_a						: Union[str, Any]    =			list(_UpperCAmelCase       )
		_a						: Optional[int]    =			len(_UpperCAmelCase       )
		_a						: List[Any]    =			len(_UpperCAmelCase       )

		_a						: str    =			[
		    [0 for _ in range(len_destination_seq + 1       )] for _ in range(len_source_seq + 1       )
		]
		_a						: str    =			[
		    ['0' for _ in range(len_destination_seq + 1       )] for _ in range(len_source_seq + 1       )
		]

		for i in range(1  ,     len_source_seq + 1       ):
				_a						: int    =			i * delete_cost
				_a						: List[str]    =			F"""D{source_seq[i - 1]:c}"""

		for i in range(1  ,     len_destination_seq + 1       ):
				_a						: Tuple    =			i * insert_cost
				_a						: Union[str, Any]    =			F"""I{destination_seq[i - 1]:c}"""

		for i in range(1  ,     len_source_seq + 1       ):
				for j in range(1  ,     len_destination_seq + 1       ):
						if source_seq[i - 1] == destination_seq[j - 1]:
								_a						: str    =			costs[i - 1][j - 1] + copy_cost
								_a						: Tuple    =			F"""C{source_seq[i - 1]:c}"""
						else:
								_a						: Optional[int]    =			costs[i - 1][j - 1] + replace_cost
								_a						: Optional[int]    =			F"""R{source_seq[i - 1]:c}""" + str(destination_seq[j - 1]       )

						if costs[i - 1][j] + delete_cost < costs[i][j]:
								_a						: List[str]    =			costs[i - 1][j] + delete_cost
								_a						: Optional[int]    =			F"""D{source_seq[i - 1]:c}"""

						if costs[i][j - 1] + insert_cost < costs[i][j]:
								_a						: Union[str, Any]    =			costs[i][j - 1] + insert_cost
								_a						: str    =			F"""I{destination_seq[j - 1]:c}"""

		return costs, ops

def     lowerCAmelCase__  (  UpperCamelCase__  ,     UpperCamelCase__  ,     UpperCamelCase__       ):



		'''simple docstring'''






		if i == 0 and j == 0:
				return []
		else:
				if ops[i][j][0] == "C" or ops[i][j][0] == "R":
						_a						: List[str]    =			assemble_transformation(_UpperCAmelCase  ,     i - 1  ,     j - 1       )
						seq.append(ops[i][j]       )
						return seq
				elif ops[i][j][0] == "D":
						_a						: int    =			assemble_transformation(_UpperCAmelCase  ,     i - 1  ,     _UpperCAmelCase       )
						seq.append(ops[i][j]       )
						return seq
				else:
						_a						: Tuple    =			assemble_transformation(_UpperCAmelCase  ,     _UpperCAmelCase  ,     j - 1       )
						seq.append(ops[i][j]       )
						return seq


if __name__ == "__main__":
	_snake_case					   =     compute_transform_tables('Python', 'Algorithms', -1, 1, 2, 2)

	_snake_case					   =     len(operations)
	_snake_case					   =     len(operations[0])
	_snake_case					   =     assemble_transformation(operations, m - 1, n - 1)

	_snake_case					   =     list('Python')
	_snake_case					   =     0
	_snake_case					   =     0

	with open('min_cost.txt', 'w') as file:
		for op in sequence:
			print(''.join(string))

			if op[0] == "C":
				file.write('%-16s' % 'Copy %c' % op[1])
				file.write('\t\t\t' + ''.join(string))
				file.write('\r\n')

				cost -= 1
			elif op[0] == "R":
				_snake_case					   =     op[2]

				file.write('%-16s' % ('Replace %c' % op[1] + ' with ' + str(op[2])))
				file.write('\t\t' + ''.join(string))
				file.write('\r\n')

				cost += 1
			elif op[0] == "D":
				string.pop(i)

				file.write('%-16s' % 'Delete %c' % op[1])
				file.write('\t\t\t' + ''.join(string))
				file.write('\r\n')

				cost += 2
			else:
				string.insert(i, op[1])

				file.write('%-16s' % 'Insert %c' % op[1])
				file.write('\t\t\t' + ''.join(string))
				file.write('\r\n')

				cost += 2

			i += 1

		print(''.join(string))
		print('Cost: ', cost)

		file.write('\r\nMinimum cost: ' + str(cost))









"""simple docstring"""




import os
import unittest

from transformers.models.bertweet.tokenization_bertweet import VOCAB_FILES_NAMES, BertweetTokenizer

from ...test_tokenization_common import TokenizerTesterMixin






class  UpperCamelCase    (			snake_case_	,  unittest.TestCase   ):
 UpperCamelCase      : Union[str, Any]    =      BertweetTokenizer
 UpperCamelCase      : Optional[Any]    =      False


 def _lowercase			(  self	:		Dict							)      -> List[Any]:
   super().setUp()

   # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
   _a						: Tuple    =			["""I""", """m""", """V@@""", """R@@""", """r""", """e@@"""]
   _a						: str    =			dict(zip(UpperCAmelCase__							,		range(len(UpperCAmelCase__							)							)							)							)
   _a						: Dict    =			["""#version: 0.2""", """a m</w>"""]
   _a						: int    =			{"""unk_token""": """<unk>"""}

   _a						: Union[str, Any]    =			os.path.join(self.tmpdirname							,		VOCAB_FILES_NAMES["""vocab_file"""]							)
   _a						: List[Any]    =			os.path.join(self.tmpdirname							,		VOCAB_FILES_NAMES["""merges_file"""]							)
   with open(self.vocab_file							,		"""w"""							,		encoding="""utf-8"""							) as fp:
     for token in vocab_tokens:
       fp.write(f"""{token} {vocab_tokens[token]}\n"""							)
   with open(self.merges_file							,		"""w"""							,		encoding="""utf-8"""							) as fp:
     fp.write("""\n""".join(UpperCAmelCase__							)							)


 def _lowercase			(  self	:		Any							,		**UpperCAmelCase__	:		Optional[Any]							)      -> Dict:
   kwargs.update(self.special_tokens_map							)
   return BertweetTokenizer.from_pretrained(self.tmpdirname							,		**UpperCAmelCase__							)


 def _lowercase			(  self	:		Dict							,		UpperCAmelCase__	:		Optional[int]							)      -> Dict:
   _a						: List[str]    =			"""I am VinAI Research"""
   _a						: Optional[int]    =			"""I <unk> m V<unk> <unk> <unk> I Re<unk> e<unk> <unk> <unk> <unk>"""
   return input_text, output_text







 def _lowercase			(  self	:		Tuple							)      -> Optional[int]:
   _a						: Optional[int]    =			BertweetTokenizer(self.vocab_file							,		self.merges_file							,		**self.special_tokens_map							)
   _a						: Tuple    =			"""I am VinAI Research"""
   _a						: Dict    =			"""I a@@ m V@@ i@@ n@@ A@@ I R@@ e@@ s@@ e@@ a@@ r@@ c@@ h""".split()
   _a						: str    =			tokenizer.tokenize(UpperCAmelCase__							)
   self.assertListEqual(UpperCAmelCase__							,		UpperCAmelCase__							)

   _a						: Tuple    =			tokens + [tokenizer.unk_token]

   _a						: Tuple    =			[4, 3, 5, 6, 3, 3, 3, 4, 7, 9, 3, 9, 3, 3, 3, 3, 3]
   self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCAmelCase__							)							,		UpperCAmelCase__							)

