


import os
def 				UpperCAmelCase_					(							__snake_case = "input.txt"						)     ->			int:







 """simple docstring"""


 with open(os.path.join(os.path.dirname(__snake_case						)     ,						__snake_case						)						) as input_file:
  _lowercase							      =[
      [int(__snake_case						) for element in line.split(''','''						)]
      for line in input_file.readlines()
  ]

 _lowercase							      =len(__snake_case						)
 _lowercase							      =len(matrix[0]						)

 _lowercase							      =[[-1 for _ in range(__snake_case						)] for _ in range(__snake_case						)]
 for i in range(__snake_case						):
  _lowercase							      =matrix[i][0]

 for j in range(1     ,						__snake_case						):
  for i in range(__snake_case						):
   _lowercase							      =minimal_path_sums[i][j - 1] + matrix[i][j]

  for i in range(1     ,						__snake_case						):
   _lowercase							      =min(
       minimal_path_sums[i][j]     ,						minimal_path_sums[i - 1][j] + matrix[i][j]						)

  for i in range(rows - 2     ,						-1     ,						-1						):
   _lowercase							      =min(
       minimal_path_sums[i][j]     ,						minimal_path_sums[i + 1][j] + matrix[i][j]						)

 return min(minimal_path_sums_row[-1] for minimal_path_sums_row in minimal_path_sums						)


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



import unittest

from transformers import SPIECE_UNDERLINE, ReformerTokenizer, ReformerTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, require_torch, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


lowerCamelCase__          =		get_tests_dir("""fixtures/test_sentencepiece.model""")







@require_sentencepiece
@require_tokenizers
class      A__							(     __magic_name__						,   unittest.TestCase	):
				lowercase			    =  ReformerTokenizer
				lowercase			    =  ReformerTokenizerFast
				lowercase			    =  True
				lowercase			    =  False
				lowercase			    =  True






				def 							_lowerCamelCase		(						self					:      Dict   ):






							'''simple docstring'''







							super().setUp()

							lowerCAmelCase__      :      int         =		ReformerTokenizer(a    ,     keep_accents=a   )
							tokenizer.save_pretrained(self.tmpdirname   )






				def 							_lowerCamelCase		(						self					:      str   ):






							'''simple docstring'''







							lowerCAmelCase__      :      int         =		'<s>'
							lowerCAmelCase__      :      Optional[int]         =		1

							self.assertEqual(self.get_tokenizer()._convert_token_to_id(a   )    ,     a   )
							self.assertEqual(self.get_tokenizer()._convert_id_to_token(a   )    ,     a   )






				def 							_lowerCamelCase		(						self					:      str   ):






							'''simple docstring'''







							lowerCAmelCase__      :      Union[str, Any]         =		list(self.get_tokenizer().get_vocab().keys()   )

							self.assertEqual(vocab_keys[0]    ,     '<unk>'   )
							self.assertEqual(vocab_keys[1]    ,     '<s>'   )
							self.assertEqual(vocab_keys[-1]    ,     'j'   )
							self.assertEqual(len(a   )    ,     1_000   )






				def 							_lowerCamelCase		(						self					:      Union[str, Any]   ):






							'''simple docstring'''







							self.assertEqual(self.get_tokenizer().vocab_size    ,     1_000   )






				def 							_lowerCamelCase		(						self					:      Optional[Any]   ):






							'''simple docstring'''







							if not self.test_rust_tokenizer:
										return

							lowerCAmelCase__      :      Optional[int]         =		self.get_tokenizer()
							lowerCAmelCase__      :      Any         =		self.get_rust_tokenizer()

							lowerCAmelCase__      :      Optional[int]         =		'I was born in 92000, and this is falsé.'

							lowerCAmelCase__      :      List[Any]         =		tokenizer.tokenize(a   )
							lowerCAmelCase__      :      Optional[int]         =		rust_tokenizer.tokenize(a   )
							self.assertListEqual(a    ,     a   )

							lowerCAmelCase__      :      List[str]         =		tokenizer.encode(a    ,     add_special_tokens=a   )
							lowerCAmelCase__      :      Any         =		rust_tokenizer.encode(a    ,     add_special_tokens=a   )
							self.assertListEqual(a    ,     a   )

							lowerCAmelCase__      :      Any         =		self.get_rust_tokenizer()
							lowerCAmelCase__      :      List[str]         =		tokenizer.encode(a   )
							lowerCAmelCase__      :      Optional[int]         =		rust_tokenizer.encode(a   )
							self.assertListEqual(a    ,     a   )






				def 							_lowerCamelCase		(						self					:      Optional[Any]    ,     a					:      Union[str, Any]=15   ):






							'''simple docstring'''







							for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
										with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''   ):
													lowerCAmelCase__      :      List[str]         =		self.rust_tokenizer_class.from_pretrained(a    ,     **a   )

													# Simple input
													lowerCAmelCase__      :      Any         =		'This is a simple input'
													lowerCAmelCase__      :      str         =		['This is a simple input 1', 'This is a simple input 2']
													lowerCAmelCase__      :      Optional[int]         =		('This is a simple input', 'This is a pair')
													lowerCAmelCase__      :      Optional[int]         =		[
													    ('This is a simple input 1', 'This is a simple input 2'),
													    ('This is a simple pair 1', 'This is a simple pair 2'),
													]

													# Simple input tests
													self.assertRaises(a    ,     tokenizer_r.encode    ,     a    ,     max_length=a    ,     padding='max_length'   )

													# Simple input
													self.assertRaises(a    ,     tokenizer_r.encode_plus    ,     a    ,     max_length=a    ,     padding='max_length'   )

													# Simple input
													self.assertRaises(
													    a    ,     tokenizer_r.batch_encode_plus    ,     a    ,     max_length=a    ,     padding='max_length'    ,     )

													# Pair input
													self.assertRaises(a    ,     tokenizer_r.encode    ,     a    ,     max_length=a    ,     padding='max_length'   )

													# Pair input
													self.assertRaises(a    ,     tokenizer_r.encode_plus    ,     a    ,     max_length=a    ,     padding='max_length'   )

													# Pair input
													self.assertRaises(
													    a    ,     tokenizer_r.batch_encode_plus    ,     a    ,     max_length=a    ,     padding='max_length'    ,     )






				def 							_lowerCamelCase		(						self					:      Optional[int]   ):






							'''simple docstring'''







							pass






				def 							_lowerCamelCase		(						self					:      Optional[int]   ):






							'''simple docstring'''







							lowerCAmelCase__      :      Optional[int]         =		ReformerTokenizer(a    ,     keep_accents=a   )

							lowerCAmelCase__      :      Dict         =		tokenizer.tokenize('This is a test'   )
							self.assertListEqual(a    ,     ['▁This', '▁is', '▁a', '▁t', 'est']   )

							self.assertListEqual(
							    tokenizer.convert_tokens_to_ids(a   )    ,     [285, 46, 10, 170, 382]    ,     )

							lowerCAmelCase__      :      List[str]         =		tokenizer.tokenize('I was born in 92000, and this is falsé.'   )
							self.assertListEqual(
							    a    ,     [
							        SPIECE_UNDERLINE + 'I',
							        SPIECE_UNDERLINE + 'was',
							        SPIECE_UNDERLINE + 'b',
							        'or',
							        'n',
							        SPIECE_UNDERLINE + 'in',
							        SPIECE_UNDERLINE + '',
							        '9',
							        '2',
							        '0',
							        '0',
							        '0',
							        ',',
							        SPIECE_UNDERLINE + 'and',
							        SPIECE_UNDERLINE + 'this',
							        SPIECE_UNDERLINE + 'is',
							        SPIECE_UNDERLINE + 'f',
							        'al',
							        's',
							        'é',
							        '.',
							    ]    ,     )
							lowerCAmelCase__      :      int         =		tokenizer.convert_tokens_to_ids(a   )
							self.assertListEqual(
							    a    ,     [8, 21, 84, 55, 24, 19, 7, 0, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 0, 4]    ,     )

							lowerCAmelCase__      :      str         =		tokenizer.convert_ids_to_tokens(a   )
							self.assertListEqual(
							    a    ,     [
							        SPIECE_UNDERLINE + 'I',
							        SPIECE_UNDERLINE + 'was',
							        SPIECE_UNDERLINE + 'b',
							        'or',
							        'n',
							        SPIECE_UNDERLINE + 'in',
							        SPIECE_UNDERLINE + '',
							        '<unk>',
							        '2',
							        '0',
							        '0',
							        '0',
							        ',',
							        SPIECE_UNDERLINE + 'and',
							        SPIECE_UNDERLINE + 'this',
							        SPIECE_UNDERLINE + 'is',
							        SPIECE_UNDERLINE + 'f',
							        'al',
							        's',
							        '<unk>',
							        '.',
							    ]    ,     )






				@cached_property
				def 							_lowerCamelCase		(						self					:      List[Any]   ):






							'''simple docstring'''







							return ReformerTokenizer.from_pretrained('google/reformer-crime-and-punishment'   )






				@slow
				def 							_lowerCamelCase		(						self					:      Any   ):






							'''simple docstring'''







							lowerCAmelCase__      :      Optional[Any]         =		'Hello World!'
							lowerCAmelCase__      :      int         =		[126, 32, 262, 152, 38, 72, 287]

							self.assertListEqual(a    ,     self.big_tokenizer.encode(a   )   )






				@slow
				def 							_lowerCamelCase		(						self					:      int   ):






							'''simple docstring'''







							lowerCAmelCase__      :      int         =		(
							    'This is a very long text with a lot of weird characters, such as: . , ~ ? ( ) " [ ] ! : - . Also we will'
							    ' add words that should not exsist and be tokenized to <unk>, such as saoneuhaoesuth'
							)
							lowerCAmelCase__      :      int         =		[
							    108,
							    265,
							    24,
							    111,
							    4,
							    258,
							    156,
							    35,
							    28,
							    275,
							    3,
							    259,
							    297,
							    260,
							    84,
							    4,
							    35,
							    110,
							    44,
							    8,
							    259,
							    91,
							    268,
							    21,
							    11,
							    209,
							    274,
							    109,
							    266,
							    277,
							    117,
							    86,
							    93,
							    315,
							    258,
							    278,
							    258,
							    277,
							    258,
							    0,
							    258,
							    288,
							    258,
							    319,
							    258,
							    0,
							    258,
							    0,
							    258,
							    0,
							    258,
							    0,
							    258,
							    287,
							    258,
							    315,
							    258,
							    289,
							    258,
							    278,
							    99,
							    269,
							    266,
							    262,
							    8,
							    259,
							    241,
							    4,
							    217,
							    230,
							    268,
							    266,
							    55,
							    168,
							    106,
							    75,
							    193,
							    266,
							    223,
							    27,
							    49,
							    26,
							    282,
							    25,
							    264,
							    299,
							    19,
							    26,
							    0,
							    258,
							    277,
							    117,
							    86,
							    93,
							    176,
							    183,
							    270,
							    11,
							    262,
							    42,
							    61,
							    265,
							]

							self.assertListEqual(a    ,     self.big_tokenizer.encode(a   )   )






				@require_torch
				@slow
				def 							_lowerCamelCase		(						self					:      Optional[Any]   ):






							'''simple docstring'''







							import torch

							from transformers import ReformerConfig, ReformerModel

							# Build sequence
							lowerCAmelCase__      :      Dict         =		list(self.big_tokenizer.get_vocab().keys()   )[:10]
							lowerCAmelCase__      :      Optional[Any]         =		' '.join(a   )
							lowerCAmelCase__      :      Any         =		self.big_tokenizer.encode_plus(a    ,     return_tensors='pt'   )
							lowerCAmelCase__      :      Optional[int]         =		self.big_tokenizer.batch_encode_plus([sequence, sequence]    ,     return_tensors='pt'   )

							lowerCAmelCase__      :      List[Any]         =		ReformerConfig()
							# The input gets padded during training so adjust the axial position encodings from the pretrained model value of (512, 1024)
							lowerCAmelCase__      :      int         =		encoded_sequence['input_ids'].shape
							lowerCAmelCase__      :      Union[str, Any]         =		ReformerModel(a   )

							# Reformer has config.vocab_size == tokenizer.vocab_size == len(tokenizer) - 1 = 320; len(tokenizer) is 321 (including a pad token with id 320)
							assert model.get_input_embeddings().weight.shape[0] >= self.big_tokenizer.vocab_size

							with torch.no_grad():
										model(**a   )
										model(**a   )






				@slow
				def 							_lowerCamelCase		(						self					:      List[Any]   ):






							'''simple docstring'''







							lowerCAmelCase__      :      Optional[Any]         =		{'input_ids': [[108, 265, 24, 111, 4, 258, 156, 7, 51, 279, 58, 7, 76, 25, 69, 278], [140, 243, 264, 134, 17, 267, 77, 263, 22, 262, 297, 258, 304, 177, 279, 266, 14, 89, 13, 35, 261, 299, 272, 137, 275, 278]], 'attention_mask': [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]}  # noqa: E501
							# fmt: on

							# This tokenizer does not know some characters like ")".
							# That is the reason why we use very simple texts here.
							# Also see https://github.com/huggingface/transformers/pull/11737#issuecomment-850769064
							lowerCAmelCase__      :      List[str]         =		[
							    'This is a very simple sentence.',
							    'The quick brown fox jumps over the lazy dog.',
							]

							self.tokenizer_integration_test_util(
							    expected_encoding=a    ,     model_name='google/reformer-crime-and-punishment'    ,     revision='0e6c3decb8211d49bf881013425dc8b0448b3f5a'    ,     padding=a    ,     sequences=a    ,     )