


import pickle
import shutil
import tempfile
import unittest

from transformers import SPIECE_UNDERLINE, XLMRobertaTokenizer, XLMRobertaTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


lowercase__	:Optional[int]										=					get_tests_dir("fixtures/test_sentencepiece.model")







@require_sentencepiece
@require_tokenizers
class        lowercase	(      _a ,						unittest.TestCase	):
							lowercase_ : Tuple       =XLMRobertaTokenizer
							lowercase_ : Dict       =XLMRobertaTokenizerFast
							lowercase_ : Tuple       =True
							lowercase_ : Optional[int]       =True




							def 				A__   (       self):
												super().setUp()

												# We have a SentencePiece fixture for testing
												lowercase					=		XLMRobertaTokenizer(snake_case_     ,keep_accents=snake_case_)
												tokenizer.save_pretrained(self.tmpdirname)




							def 				A__   (       self):
												lowercase					=		'''<pad>'''
												lowercase					=		1

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




							def 				A__   (       self):
												lowercase					=		list(self.get_tokenizer().get_vocab().keys())

												self.assertEqual(vocab_keys[0]     ,'''<s>''')
												self.assertEqual(vocab_keys[1]     ,'''<pad>''')
												self.assertEqual(vocab_keys[-1]     ,'''<mask>''')
												self.assertEqual(len(snake_case_)     ,1_0_0_2)




							def 				A__   (       self):
												self.assertEqual(self.get_tokenizer().vocab_size     ,1_0_0_2)




							def 				A__   (       self):
												lowercase					=		XLMRobertaTokenizer(snake_case_     ,keep_accents=snake_case_)

												lowercase					=		tokenizer.tokenize('''This is a test''')
												self.assertListEqual(snake_case_     ,['''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est'''])

												self.assertListEqual(
												    tokenizer.convert_tokens_to_ids(snake_case_)     ,[value + tokenizer.fairseq_offset for value in [2_8_5, 4_6, 1_0, 1_7_0, 3_8_2]]     ,)

												lowercase					=		tokenizer.tokenize('''I was born in 92000, and this is falsé.''')
												self.assertListEqual(
												    snake_case_     ,[
												        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''',
												        '''.''',
												    ]     ,)
												lowercase					=		tokenizer.convert_tokens_to_ids(snake_case_)
												self.assertListEqual(
												    snake_case_     ,[
												        value + tokenizer.fairseq_offset
												        for value in [8, 2_1, 8_4, 5_5, 2_4, 1_9, 7, 2, 6_0_2, 3_4_7, 3_4_7, 3_4_7, 3, 1_2, 6_6, 4_6, 7_2, 8_0, 6, 2, 4]
												        #                                       ^ unk: 2 + 1 = 3                  unk: 2 + 1 = 3 ^
												    ]     ,)

												lowercase					=		tokenizer.convert_ids_to_tokens(snake_case_)
												self.assertListEqual(
												    snake_case_     ,[
												        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>''',
												        '''.''',
												    ]     ,)




							def 				A__   (       self):
												if not self.test_slow_tokenizer:
																	# as we don't have a slow version, we can't compare the outputs between slow and fast versions
																	return

												lowercase					=		(self.rust_tokenizer_class, '''hf-internal-testing/tiny-xlm-roberta''', {})
												for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
																	with self.subTest(f'{tokenizer.__class__.__name__} ({pretrained_name})'):
																						lowercase					=		self.rust_tokenizer_class.from_pretrained(snake_case_     ,**snake_case_)
																						lowercase					=		self.tokenizer_class.from_pretrained(snake_case_     ,**snake_case_)

																						lowercase					=		tempfile.mkdtemp()

																						lowercase					=		tokenizer_r.save_pretrained(snake_case_)
																						lowercase					=		tokenizer_p.save_pretrained(snake_case_)

																						# Checks it save with the same files + the tokenizer.json file for the fast one
																						self.assertTrue(any('''tokenizer.json''' in f for f in tokenizer_r_files))
																						lowercase					=		tuple(f for f in tokenizer_r_files if '''tokenizer.json''' not in f)
																						self.assertSequenceEqual(snake_case_     ,snake_case_)

																						# Checks everything loads correctly in the same way
																						lowercase					=		tokenizer_r.from_pretrained(snake_case_)
																						lowercase					=		tokenizer_p.from_pretrained(snake_case_)

																						# Check special tokens are set accordingly on Rust and Python
																						for key in tokenizer_pp.special_tokens_map:
																											self.assertTrue(hasattr(snake_case_     ,snake_case_))
																											# self.assertEqual(getattr(tokenizer_rp, key), getattr(tokenizer_pp, key))
																											# self.assertEqual(getattr(tokenizer_rp, key + "_id"), getattr(tokenizer_pp, key + "_id"))

																						shutil.rmtree(snake_case_)

																						# Save tokenizer rust, legacy_format=True
																						lowercase					=		tempfile.mkdtemp()

																						lowercase					=		tokenizer_r.save_pretrained(snake_case_     ,legacy_format=snake_case_)
																						lowercase					=		tokenizer_p.save_pretrained(snake_case_)

																						# Checks it save with the same files
																						self.assertSequenceEqual(snake_case_     ,snake_case_)

																						# Checks everything loads correctly in the same way
																						lowercase					=		tokenizer_r.from_pretrained(snake_case_)
																						lowercase					=		tokenizer_p.from_pretrained(snake_case_)

																						# Check special tokens are set accordingly on Rust and Python
																						for key in tokenizer_pp.special_tokens_map:
																											self.assertTrue(hasattr(snake_case_     ,snake_case_))

																						shutil.rmtree(snake_case_)

																						# Save tokenizer rust, legacy_format=False
																						lowercase					=		tempfile.mkdtemp()

																						lowercase					=		tokenizer_r.save_pretrained(snake_case_     ,legacy_format=snake_case_)
																						lowercase					=		tokenizer_p.save_pretrained(snake_case_)

																						# Checks it saved the tokenizer.json file
																						self.assertTrue(any('''tokenizer.json''' in f for f in tokenizer_r_files))

																						# Checks everything loads correctly in the same way
																						lowercase					=		tokenizer_r.from_pretrained(snake_case_)
																						lowercase					=		tokenizer_p.from_pretrained(snake_case_)

																						# Check special tokens are set accordingly on Rust and Python
																						for key in tokenizer_pp.special_tokens_map:
																											self.assertTrue(hasattr(snake_case_     ,snake_case_))

																						shutil.rmtree(snake_case_)




							@cached_property
							def 				A__   (       self):
												return XLMRobertaTokenizer.from_pretrained('''xlm-roberta-base''')




							def 				A__   (       self):
												with tempfile.NamedTemporaryFile() as f:
																	shutil.copyfile(snake_case_     ,f.name)
																	lowercase					=		XLMRobertaTokenizer(f.name     ,keep_accents=snake_case_)
																	lowercase					=		pickle.dumps(snake_case_)
												pickle.loads(snake_case_)




							def 				A__   (       self):
												if not self.test_rust_tokenizer:
																	return

												lowercase					=		self.get_tokenizer()
												lowercase					=		self.get_rust_tokenizer()

												lowercase					=		'''I was born in 92000, and this is falsé.'''

												lowercase					=		tokenizer.tokenize(snake_case_)
												lowercase					=		rust_tokenizer.tokenize(snake_case_)
												self.assertListEqual(snake_case_     ,snake_case_)

												lowercase					=		tokenizer.encode(snake_case_     ,add_special_tokens=snake_case_)
												lowercase					=		rust_tokenizer.encode(snake_case_     ,add_special_tokens=snake_case_)
												self.assertListEqual(snake_case_     ,snake_case_)

												lowercase					=		self.get_rust_tokenizer()
												lowercase					=		tokenizer.encode(snake_case_)
												lowercase					=		rust_tokenizer.encode(snake_case_)
												self.assertListEqual(snake_case_     ,snake_case_)




							@slow
							def 				A__   (       self):
												lowercase					=		'''Hello World!'''
												lowercase					=		[0, 3_5_3_7_8, 6_6_6_1, 3_8, 2]
												# xlmr = torch.hub.load('pytorch/fairseq', 'xlmr.base')  # xlmr.large has same tokenizer
												# xlmr.eval()
												# xlmr.encode(symbols)

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




							@slow
							def 				A__   (       self):
												lowercase					=		(
												    '''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'''
												)
												lowercase					=		[
												    0,
												    3_2_9_3,
												    8_3,
												    1_0,
												    4_5_5_2,
												    4_9_8_9,
												    7_9_8_6,
												    6_7_8,
												    1_0,
												    5_9_1_5,
												    1_1_1,
												    1_7_9_4_5_9,
												    1_2_4_8_5_0,
												    4,
												    6_0_4_4,
												    2_3_7,
												    1_2,
												    6,
												    5,
												    6,
												    4,
												    6_7_8_0,
												    7_0_5,
												    1_5,
												    1_3_8_8,
												    4_4,
												    3_7_8,
												    1_0_1_1_4,
												    7_1_1,
												    1_5_2,
												    2_0,
												    6,
												    5,
												    2_2_3_7_6,
												    6_4_2,
												    1_2_2_1,
												    1_5_1_9_0,
												    3_4_1_5_3,
												    4_5_0,
												    5_6_0_8,
												    9_5_9,
												    1_1_1_9,
												    5_7_7_0_2,
												    1_3_6,
												    1_8_6,
												    4_7,
												    1_0_9_8,
												    2_9_3_6_7,
												    4_7,
												    # 4426, # What fairseq tokenizes from "<unk>": "_<"
												    # 3678, # What fairseq tokenizes from "<unk>": "unk"
												    # 2740, # What fairseq tokenizes from "<unk>": ">"
												    3,  # What we tokenize from "<unk>": "<unk>"
												    6,  # Residue from the tokenization: an extra sentencepiece underline
												    4,
												    6_0_4_4,
												    2_3_7,
												    6_2_8_4,
												    5_0_9_0_1,
												    5_2_8,
												    3_1,
												    9_0,
												    3_4,
												    9_2_7,
												    2,
												]
												# xlmr = torch.hub.load('pytorch/fairseq', 'xlmr.base')  # xlmr.large has same tokenizer
												# xlmr.eval()
												# xlmr.encode(symbols)

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





							@slow
							def 				A__   (       self):
												# fmt: off
												lowercase					=		{'''input_ids''': [[0, 1_1_0_6_2, 8_2_7_7_2, 7, 1_5, 8_2_7_7_2, 5_3_8, 5_1_5_2_9, 2_3_7, 1_7_1_9_8, 1_2_9_0, 2_0_6, 9, 2_1_5_1_7_5, 1_3_1_4, 1_3_6, 1_7_1_9_8, 1_2_9_0, 2_0_6, 9, 5_6_3_5_9, 4_2, 1_2_2_0_0_9, 9, 1_6_4_6_6, 1_6, 8_7_3_4_4, 4_5_3_7, 9, 4_7_1_7, 7_8_3_8_1, 6, 1_5_9_9_5_8, 7, 1_5, 2_4_4_8_0, 6_1_8, 4, 5_2_7, 2_2_6_9_3, 5_4_2_8, 4, 2_7_7_7, 2_4_4_8_0, 9_8_7_4, 4, 4_3_5_2_3, 5_9_4, 4, 8_0_3, 1_8_3_9_2, 3_3_1_8_9, 1_8, 4, 4_3_5_2_3, 2_4_4_4_7, 1_2_3_9_9, 1_0_0, 2_4_9_5_5, 8_3_6_5_8, 9_6_2_6, 1_4_4_0_5_7, 1_5, 8_3_9, 2_2_3_3_5, 1_6, 1_3_6, 2_4_9_5_5, 8_3_6_5_8, 8_3_4_7_9, 1_5, 3_9_1_0_2, 7_2_4, 1_6, 6_7_8, 6_4_5, 2_7_8_9, 1_3_2_8, 4_5_8_9, 4_2, 1_2_2_0_0_9, 1_1_5_7_7_4, 2_3, 8_0_5, 1_3_2_8, 4_6_8_7_6, 7, 1_3_6, 5_3_8_9_4, 1_9_4_0, 4_2_2_2_7, 4_1_1_5_9, 1_7_7_2_1, 8_2_3, 4_2_5, 4, 2_7_5_1_2, 9_8_7_2_2, 2_0_6, 1_3_6, 5_5_3_1, 4_9_7_0, 9_1_9, 1_7_3_3_6, 5, 2], [0, 2_0_0_8_0, 6_1_8, 8_3, 8_2_7_7_5, 4_7, 4_7_9, 9, 1_5_1_7, 7_3, 5_3_8_9_4, 3_3_3, 8_0_5_8_1, 1_1_0_1_1_7, 1_8_8_1_1, 5_2_5_6, 1_2_9_5, 5_1, 1_5_2_5_2_6, 2_9_7, 7_9_8_6, 3_9_0, 1_2_4_4_1_6, 5_3_8, 3_5_4_3_1, 2_1_4, 9_8, 1_5_0_4_4, 2_5_7_3_7, 1_3_6, 7_1_0_8, 4_3_7_0_1, 2_3, 7_5_6, 1_3_5_3_5_5, 7, 5, 2, 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, 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], [0, 5_8_1, 6_3_7_7_3, 1_1_9_4_5_5, 6, 1_4_7_7_9_7, 8_8_2_0_3, 7, 6_4_5, 7_0, 2_1, 3_2_8_5, 1_0_2_6_9, 5, 2, 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, 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, 1, 1, 1, 1, 1, 1, 1]], '''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, 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, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
												# fmt: on

												self.tokenizer_integration_test_util(
												    expected_encoding=snake_case_     ,model_name='''xlm-roberta-base'''     ,revision='''d9d8a8ea5eb94b1c6654ae9249df7793cd2933d3'''     ,)






import os



def  UpperCamelCase					(							lowerCAmelCase__ = "input.txt"	):
					'''simple docstring'''

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

					lowercase					=		len(lowerCAmelCase__	)
					lowercase					=		len(matrix[0]	)

					lowercase					=		[[-1 for _ in range(lowerCAmelCase__	)] for _ in range(lowerCAmelCase__	)]
					for i in range(lowerCAmelCase__	):
										lowercase					=		matrix[i][0]

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

										for i in range(1				,    lowerCAmelCase__	):
															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() = }')




