


import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from .tokenization_lxmert import LxmertTokenizer


_lowercase       :      str	=	{"vocab_file": "vocab.txt", "tokenizer_file": "tokenizer.json"}

_lowercase       :      List[Any]	=	{
    "vocab_file": {
        "unc-nlp/lxmert-base-uncased": "https://huggingface.co/unc-nlp/lxmert-base-uncased/resolve/main/vocab.txt",
    },
    "tokenizer_file": {
        "unc-nlp/lxmert-base-uncased": (
            "https://huggingface.co/unc-nlp/lxmert-base-uncased/resolve/main/tokenizer.json"
        ),
    },
}

_lowercase       :      Tuple	=	{
    "unc-nlp/lxmert-base-uncased": 512,
}

_lowercase       :      int	=	{
    "unc-nlp/lxmert-base-uncased": {"do_lower_case": True},
}






class       _UpperCamelCase    (					__snake_case				):

				"""simple docstring"""







				lowerCAmelCase 		= VOCAB_FILES_NAMES
				lowerCAmelCase 		= PRETRAINED_VOCAB_FILES_MAP
				lowerCAmelCase 		= PRETRAINED_INIT_CONFIGURATION
				lowerCAmelCase 		= PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				lowerCAmelCase 		= LxmertTokenizer

				def __init__(						self				,   a__=None				,   a__=None				,   a__=True				,   a__="[UNK]"				,   a__="[SEP]"				,   a__="[PAD]"				,   a__="[CLS]"				,   a__="[MASK]"				,   a__=True				,   a__=None				,   **a__				,   )	->				Tuple:
					super().__init__(
					    a__				,   tokenizer_file=a__				,   do_lower_case=a__				,   unk_token=a__				,   sep_token=a__				,   pad_token=a__				,   cls_token=a__				,   mask_token=a__				,   tokenize_chinese_chars=a__				,   strip_accents=a__				,   **a__				,   )

					A								=				json.loads(self.backend_tokenizer.normalizer.__getstate__()   )
					if (
					    normalizer_state.get("""lowercase"""				,   a__   ) != do_lower_case
					    or normalizer_state.get("""strip_accents"""				,   a__   ) != strip_accents
					    or normalizer_state.get("""handle_chinese_chars"""				,   a__   ) != tokenize_chinese_chars
					):
						A								=				getattr(a__				,   normalizer_state.pop("""type"""   )   )
						A								=				do_lower_case
						A								=				strip_accents
						A								=				tokenize_chinese_chars
						A								=				normalizer_class(**a__   )

					A								=				do_lower_case

				def      _UpperCAmelCase					(						self				,   a__				,   a__=None   )	->				Optional[Any]:
					A								=				[self.cls_token_id] + token_ids_a + [self.sep_token_id]

					if token_ids_a:
						output += token_ids_a + [self.sep_token_id]

					return output

				def      _UpperCAmelCase					(						self				,   a__				,   a__ = None   )	->				List[int]:
					A								=				[self.sep_token_id]
					A								=				[self.cls_token_id]
					if token_ids_a is None:
						return len(cls + token_ids_a + sep   ) * [0]
					return len(cls + token_ids_a + sep   ) * [0] + len(token_ids_a + sep   ) * [1]

				def      _UpperCAmelCase					(						self				,   a__				,   a__ = None   )	->				Tuple[str]:
					A								=				self._tokenizer.model.save(a__				,   name=a__   )
					return tuple(a__   )







import os





def   _lowerCAmelCase				(   UpperCamelCase__:     str = "matrix.txt"						) ->   int:





	"""simple docstring"""







	with open(os.path.join(os.path.dirname(UpperCamelCase__						)							,					UpperCamelCase__						)						) as in_file:
		A								=				in_file.read()

	A								=				[[int(UpperCamelCase__						) for cell in row.split(""","""						)] for row in data.strip().splitlines()]
	A								=				[[0 for cell in row] for row in grid]
	A								=				len(grid[0]						)

	A								=				[[0 for i in range(UpperCamelCase__						)] for j in range(UpperCamelCase__						)]
	A								=				grid[0][0]
	for i in range(1							,					UpperCamelCase__						):
		A								=				grid[0][i] + dp[0][i - 1]
	for i in range(1							,					UpperCamelCase__						):
		A								=				grid[i][0] + dp[i - 1][0]

	for i in range(1							,					UpperCamelCase__						):
		for j in range(1							,					UpperCamelCase__						):
			A								=				grid[i][j] + min(dp[i - 1][j]							,					dp[i][j - 1]						)

	return dp[-1][-1]


if __name__ == "__main__":
				print(f'''{solution() = }''')



