import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_splinter import SplinterTokenizer


lowerCAmelCase__  	=      logging.get_logger(__name__)

lowerCAmelCase__  	=      {"vocab_file": "vocab.txt"}

lowerCAmelCase__  	=      {
    "vocab_file": {
        "tau/splinter-base": "https://huggingface.co/tau/splinter-base/resolve/main/vocab.txt",
        "tau/splinter-base-qass": "https://huggingface.co/tau/splinter-base-qass/resolve/main/vocab.txt",
        "tau/splinter-large": "https://huggingface.co/tau/splinter-large/resolve/main/vocab.txt",
        "tau/splinter-large-qass": "https://huggingface.co/tau/splinter-large-qass/resolve/main/vocab.txt",
    }
}

lowerCAmelCase__  	=      {
    "tau/splinter-base": 5_1_2,
    "tau/splinter-base-qass": 5_1_2,
    "tau/splinter-large": 5_1_2,
    "tau/splinter-large-qass": 5_1_2,
}

lowerCAmelCase__  	=      {
    "tau/splinter-base": {"do_lower_case": False},
    "tau/splinter-base-qass": {"do_lower_case": False},
    "tau/splinter-large": {"do_lower_case": False},
    "tau/splinter-large-qass": {"do_lower_case": False},
}
class 	_a  (							lowerCamelCase_					):



	"""simple docstring"""



	__SCREAMING_SNAKE_CASE              =					VOCAB_FILES_NAMES
	__SCREAMING_SNAKE_CASE              =					PRETRAINED_VOCAB_FILES_MAP
	__SCREAMING_SNAKE_CASE              =					PRETRAINED_INIT_CONFIGURATION
	__SCREAMING_SNAKE_CASE              =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	__SCREAMING_SNAKE_CASE              =					SplinterTokenizer


	def __init__(   self       ,  lowerCAmelCase_=None       ,  lowerCAmelCase_=None       ,  lowerCAmelCase_=True       ,  lowerCAmelCase_="[UNK]"       ,  lowerCAmelCase_="[SEP]"       ,  lowerCAmelCase_="[PAD]"       ,  lowerCAmelCase_="[CLS]"       ,  lowerCAmelCase_="[MASK]"       ,  lowerCAmelCase_="[QUESTION]"       ,  lowerCAmelCase_=True       ,  lowerCAmelCase_=None       ,  **lowerCAmelCase_       ,  ):
		super().__init__(
		    lowerCAmelCase_       ,  tokenizer_file=lowerCAmelCase_       ,  do_lower_case=lowerCAmelCase_       ,  unk_token=lowerCAmelCase_       ,  sep_token=lowerCAmelCase_       ,  pad_token=lowerCAmelCase_       ,  cls_token=lowerCAmelCase_       ,  mask_token=lowerCAmelCase_       ,  tokenize_chinese_chars=lowerCAmelCase_       ,  strip_accents=lowerCAmelCase_       ,  additional_special_tokens=(question_token,)       ,  **lowerCAmelCase_       ,  )

		_lowercase   =json.loads(self.backend_tokenizer.normalizer.__getstate__()       )
		if (
		    pre_tok_state.get("lowercase"       ,  lowerCAmelCase_       ) != do_lower_case
		    or pre_tok_state.get("strip_accents"       ,  lowerCAmelCase_       ) != strip_accents
		):
			_lowercase   =getattr(lowerCAmelCase_       ,  pre_tok_state.pop("type"       )       )
			_lowercase   =do_lower_case
			_lowercase   =strip_accents
			_lowercase   =pre_tok_class(**lowerCAmelCase_       )

		_lowercase   =do_lower_case


	@property
	def __lowerCAmelCase      (   self       ):
		return self.convert_tokens_to_ids(self.question_token       )


	def __lowerCAmelCase      (   self       ,  lowerCAmelCase_       ,  lowerCAmelCase_ = None       ):
		if token_ids_a is None:
			return [self.cls_token_id] + token_ids_a + [self.sep_token_id]

		_lowercase   =[self.cls_token_id]
		_lowercase   =[self.sep_token_id]
		_lowercase   =[self.question_token_id] + [self.convert_tokens_to_ids("."       )]
		if self.padding_side == "right":
			# Input is question-then-context
			return cls + token_ids_a + question_suffix + sep + token_ids_a + sep
		else:
			# Input is context-then-question
			return cls + token_ids_a + sep + token_ids_a + question_suffix + sep


	def __lowerCAmelCase      (   self       ,  lowerCAmelCase_       ,  lowerCAmelCase_ = None       ):
		_lowercase   =[self.sep_token_id]
		_lowercase   =[self.cls_token_id]
		_lowercase   =[self.question_token_id] + [self.convert_tokens_to_ids("."       )]
		if token_ids_a is None:
			return len(cls + token_ids_a + sep       ) * [0]

		if self.padding_side == "right":
			# Input is question-then-context
			return len(cls + token_ids_a + question_suffix + sep       ) * [0] + len(token_ids_a + sep       ) * [1]
		else:
			# Input is context-then-question
			return len(cls + token_ids_a + sep       ) * [0] + len(token_ids_a + question_suffix + sep       ) * [1]


	def __lowerCAmelCase      (   self       ,  lowerCAmelCase_       ,  lowerCAmelCase_ = None       ):
		_lowercase   =self._tokenizer.model.save(lowerCAmelCase_       ,  name=lowerCAmelCase_       )
		return tuple(lowerCAmelCase_       )









'''simple docstring'''







def 			_lowerCAmelCase(      UpperCAmelCase_      :	str					, UpperCAmelCase_      :	str					, UpperCAmelCase_      :	int					, UpperCAmelCase_      :	int					, UpperCAmelCase_      :	int					, UpperCAmelCase_      :	int					, ) ->							tuple[list[list[int]], list[list[str]]]:
							lowerCAmelCase__  =   list(UpperCAmelCase_						)
							lowerCAmelCase__  =   list(UpperCAmelCase_						)
							lowerCAmelCase__  =   len(UpperCAmelCase_						)
							lowerCAmelCase__  =   len(UpperCAmelCase_						)

							lowerCAmelCase__  =   [
							    [0 for _ in range(len_destination_seq + 1						)] for _ in range(len_source_seq + 1						)
							]
							lowerCAmelCase__  =   [
							    ["""0""" for _ in range(len_destination_seq + 1						)] for _ in range(len_source_seq + 1						)
							]

							for i in range(1					, len_source_seq + 1						):
														lowerCAmelCase__  =   i * delete_cost
														lowerCAmelCase__  =   F'''D{source_seq[i - 1]:c}'''

							for i in range(1					, len_destination_seq + 1						):
														lowerCAmelCase__  =   i * insert_cost
														lowerCAmelCase__  =   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]:
																												lowerCAmelCase__  =   costs[i - 1][j - 1] + copy_cost
																												lowerCAmelCase__  =   F'''C{source_seq[i - 1]:c}'''
																					else:
																												lowerCAmelCase__  =   costs[i - 1][j - 1] + replace_cost
																												lowerCAmelCase__  =   F'''R{source_seq[i - 1]:c}''' + str(destination_seq[j - 1]						)

																					if costs[i - 1][j] + delete_cost < costs[i][j]:
																												lowerCAmelCase__  =   costs[i - 1][j] + delete_cost
																												lowerCAmelCase__  =   F'''D{source_seq[i - 1]:c}'''

																					if costs[i][j - 1] + insert_cost < costs[i][j]:
																												lowerCAmelCase__  =   costs[i][j - 1] + insert_cost
																												lowerCAmelCase__  =   F'''I{destination_seq[j - 1]:c}'''

							return costs, ops
def 			_lowerCAmelCase(      UpperCAmelCase_      :	list[list[str]]					, UpperCAmelCase_      :	int					, UpperCAmelCase_      :	int						) ->							list[str]:
							if i == 0 and j == 0:
														return []
							else:
														if ops[i][j][0] == "C" or ops[i][j][0] == "R":
																					lowerCAmelCase__  =   assemble_transformation(UpperCAmelCase_					, i - 1					, j - 1						)
																					seq.append(ops[i][j]						)
																					return seq
														elif ops[i][j][0] == "D":
																					lowerCAmelCase__  =   assemble_transformation(UpperCAmelCase_					, i - 1					, UpperCAmelCase_						)
																					seq.append(ops[i][j]						)
																					return seq
														else:
																					lowerCAmelCase__  =   assemble_transformation(UpperCAmelCase_					, UpperCAmelCase_					, j - 1						)
																					seq.append(ops[i][j]						)
																					return seq


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

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

		_UpperCamelCase  						=			list("""Python""")
		_UpperCamelCase  						=			0
		_UpperCamelCase  						=			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":
								_UpperCamelCase  						=			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))





