





import itertools
import json
import os
import unittest

from transformers import AddedToken, RobertaTokenizer, RobertaTokenizerFast
from transformers.models.roberta.tokenization_roberta import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin






@require_tokenizers
class       __A					(					lowerCAmelCase    ,       unittest.TestCase				):

			'''simple docstring'''







			lowerCAmelCase_							  =		RobertaTokenizer
			lowerCAmelCase_							  =		RobertaTokenizerFast
			lowerCAmelCase_							  =		True
			lowerCAmelCase_							  =		{"""cls_token""": """<s>"""}





			def 	__lowerCamelCase       (					self							):



				'''simple docstring'''







				super().setUp()

				# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
				lowerCamelCase__              =	[
				    '''l''',
				    '''o''',
				    '''w''',
				    '''e''',
				    '''r''',
				    '''s''',
				    '''t''',
				    '''i''',
				    '''d''',
				    '''n''',
				    '''\u0120''',
				    '''\u0120l''',
				    '''\u0120n''',
				    '''\u0120lo''',
				    '''\u0120low''',
				    '''er''',
				    '''\u0120lowest''',
				    '''\u0120newer''',
				    '''\u0120wider''',
				    '''<unk>''',
				]
				lowerCamelCase__              =	dict(zip(__lowerCAmelCase ,						range(len(__lowerCAmelCase							)							)							)							)
				lowerCamelCase__              =	['''#version: 0.2''', '''\u0120 l''', '''\u0120l o''', '''\u0120lo w''', '''e r''', '''''']
				lowerCamelCase__              =	{'''unk_token''': '''<unk>'''}

				lowerCamelCase__              =	os.path.join(self.tmpdirname ,						VOCAB_FILES_NAMES['''vocab_file''']							)
				lowerCamelCase__              =	os.path.join(self.tmpdirname ,						VOCAB_FILES_NAMES['''merges_file''']							)
				with open(self.vocab_file ,						'''w''' ,						encoding='''utf-8'''							) as fp:
					fp.write(json.dumps(__lowerCAmelCase							) + '''\n'''							)
				with open(self.merges_file ,						'''w''' ,						encoding='''utf-8'''							) as fp:
					fp.write('''\n'''.join(__lowerCAmelCase							)							)





			def 	__lowerCamelCase       (					self ,						**__lowerCAmelCase							):



				'''simple docstring'''







				kwargs.update(self.special_tokens_map							)
				return self.tokenizer_class.from_pretrained(self.tmpdirname ,						**__lowerCAmelCase							)





			def 	__lowerCamelCase       (					self ,						**__lowerCAmelCase							):



				'''simple docstring'''







				kwargs.update(self.special_tokens_map							)
				return RobertaTokenizerFast.from_pretrained(self.tmpdirname ,						**__lowerCAmelCase							)





			def 	__lowerCamelCase       (					self ,						__lowerCAmelCase							):



				'''simple docstring'''







				lowerCamelCase__              =	'''lower newer'''
				lowerCamelCase__              =	'''lower newer'''
				return input_text, output_text





			def 	__lowerCamelCase       (					self							):



				'''simple docstring'''







				lowerCamelCase__              =	self.tokenizer_class(self.vocab_file ,						self.merges_file ,						**self.special_tokens_map							)
				lowerCamelCase__              =	'''lower newer'''
				lowerCamelCase__              =	['''l''', '''o''', '''w''', '''er''', '''\u0120''', '''n''', '''e''', '''w''', '''er''']
				lowerCamelCase__              =	tokenizer.tokenize(__lowerCAmelCase							)  # , add_prefix_space=True)
				self.assertListEqual(__lowerCAmelCase ,						__lowerCAmelCase							)

				lowerCamelCase__              =	tokens + [tokenizer.unk_token]
				lowerCamelCase__              =	[0, 1, 2, 1_5, 1_0, 9, 3, 2, 1_5, 1_9]
				self.assertListEqual(tokenizer.convert_tokens_to_ids(__lowerCAmelCase							) ,						__lowerCAmelCase							)





			def 	__lowerCamelCase       (					self							):



				'''simple docstring'''







				lowerCamelCase__              =	self.get_tokenizer()

				self.assertListEqual(tokenizer.encode('''Hello world!''' ,						add_special_tokens=__lowerCAmelCase							) ,						[0, 3_1_4_1_4, 2_3_2, 3_2_8, 2]							)
				self.assertListEqual(
				    tokenizer.encode('''Hello world! cécé herlolip 418''' ,						add_special_tokens=__lowerCAmelCase							) ,						[0, 3_1_4_1_4, 2_3_2, 3_2_8, 7_4_0, 1_1_4_0, 1_2_6_9_5, 6_9, 4_6_0_7_8, 1_5_8_8, 2] ,						)





			@slow
			def 	__lowerCamelCase       (					self							):



				'''simple docstring'''







				lowerCamelCase__              =	self.tokenizer_class.from_pretrained('''roberta-base'''							)

				lowerCamelCase__              =	tokenizer.encode('''sequence builders''' ,						add_special_tokens=__lowerCAmelCase							)
				lowerCamelCase__              =	tokenizer.encode('''multi-sequence build''' ,						add_special_tokens=__lowerCAmelCase							)

				lowerCamelCase__              =	tokenizer.encode(
				    '''sequence builders''' ,						add_special_tokens=__lowerCAmelCase ,						add_prefix_space=__lowerCAmelCase							)
				lowerCamelCase__              =	tokenizer.encode(
				    '''sequence builders''' ,						'''multi-sequence build''' ,						add_special_tokens=__lowerCAmelCase ,						add_prefix_space=__lowerCAmelCase							)

				lowerCamelCase__              =	tokenizer.build_inputs_with_special_tokens(__lowerCAmelCase							)
				lowerCamelCase__              =	tokenizer.build_inputs_with_special_tokens(__lowerCAmelCase ,						__lowerCAmelCase							)

				assert encoded_sentence == encoded_text_from_decode
				assert encoded_pair == encoded_pair_from_decode





			def 	__lowerCamelCase       (					self							):



				'''simple docstring'''







				lowerCamelCase__              =	self.get_tokenizer()

				lowerCamelCase__              =	'''Encode this sequence.'''
				lowerCamelCase__              =	tokenizer.byte_encoder[''' '''.encode('''utf-8'''							)[0]]

				# Testing encoder arguments
				lowerCamelCase__              =	tokenizer.encode(__lowerCAmelCase ,						add_special_tokens=__lowerCAmelCase ,						add_prefix_space=__lowerCAmelCase							)
				lowerCamelCase__              =	tokenizer.convert_ids_to_tokens(encoded[0]							)[0]
				self.assertNotEqual(__lowerCAmelCase ,						__lowerCAmelCase							)

				lowerCamelCase__              =	tokenizer.encode(__lowerCAmelCase ,						add_special_tokens=__lowerCAmelCase ,						add_prefix_space=__lowerCAmelCase							)
				lowerCamelCase__              =	tokenizer.convert_ids_to_tokens(encoded[0]							)[0]
				self.assertEqual(__lowerCAmelCase ,						__lowerCAmelCase							)

				tokenizer.add_special_tokens({'''bos_token''': '''<s>'''}							)
				lowerCamelCase__              =	tokenizer.encode(__lowerCAmelCase ,						add_special_tokens=__lowerCAmelCase							)
				lowerCamelCase__              =	tokenizer.convert_ids_to_tokens(encoded[1]							)[0]
				self.assertNotEqual(__lowerCAmelCase ,						__lowerCAmelCase							)

				# Testing spaces after special tokens
				lowerCamelCase__              =	'''<mask>'''
				tokenizer.add_special_tokens(
				    {'''mask_token''': AddedToken(__lowerCAmelCase ,						lstrip=__lowerCAmelCase ,						rstrip=__lowerCAmelCase							)}							)  # mask token has a left space
				lowerCamelCase__              =	tokenizer.convert_tokens_to_ids(__lowerCAmelCase							)

				lowerCamelCase__              =	'''Encode <mask> sequence'''
				lowerCamelCase__              =	'''Encode <mask>sequence'''

				lowerCamelCase__              =	tokenizer.encode(__lowerCAmelCase							)
				lowerCamelCase__              =	encoded.index(__lowerCAmelCase							)
				lowerCamelCase__              =	tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]							)[0]
				self.assertEqual(__lowerCAmelCase ,						__lowerCAmelCase							)

				lowerCamelCase__              =	tokenizer.encode(__lowerCAmelCase							)
				lowerCamelCase__              =	encoded.index(__lowerCAmelCase							)
				lowerCamelCase__              =	tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]							)[0]
				self.assertNotEqual(__lowerCAmelCase ,						__lowerCAmelCase							)





			def 	__lowerCamelCase       (					self							):



				'''simple docstring'''







				pass





			def 	__lowerCamelCase       (					self							):



				'''simple docstring'''







				for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
					with self.subTest(F'{tokenizer.__class__.__name__} ({pretrained_name})'							):
						lowerCamelCase__              =	self.rust_tokenizer_class.from_pretrained(__lowerCAmelCase ,						**__lowerCAmelCase							)
						lowerCamelCase__              =	self.tokenizer_class.from_pretrained(__lowerCAmelCase ,						**__lowerCAmelCase							)
						lowerCamelCase__              =	'''A, <mask> AllenNLP sentence.'''
						lowerCamelCase__              =	tokenizer_r.encode_plus(__lowerCAmelCase ,						add_special_tokens=__lowerCAmelCase ,						return_token_type_ids=__lowerCAmelCase							)
						lowerCamelCase__              =	tokenizer_p.encode_plus(__lowerCAmelCase ,						add_special_tokens=__lowerCAmelCase ,						return_token_type_ids=__lowerCAmelCase							)

						# token_type_ids should put 0 everywhere
						self.assertEqual(sum(tokens_r['''token_type_ids''']							) ,						sum(tokens_p['''token_type_ids''']							)							)

						# attention_mask should put 1 everywhere, so sum over length should be 1
						self.assertEqual(
						    sum(tokens_r['''attention_mask''']							) / len(tokens_r['''attention_mask''']							) ,						sum(tokens_p['''attention_mask''']							) / len(tokens_p['''attention_mask''']							) ,						)

						lowerCamelCase__              =	tokenizer_r.convert_ids_to_tokens(tokens_r['''input_ids''']							)
						lowerCamelCase__              =	tokenizer_p.convert_ids_to_tokens(tokens_p['''input_ids''']							)

						# Rust correctly handles the space before the mask while python doesnt
						self.assertSequenceEqual(tokens_p['''input_ids'''] ,						[0, 2_5_0, 6, 5_0_2_6_4, 3_8_2_3, 4_8_7, 2_1_9_9_2, 3_6_4_5, 4, 2]							)
						self.assertSequenceEqual(tokens_r['''input_ids'''] ,						[0, 2_5_0, 6, 5_0_2_6_4, 3_8_2_3, 4_8_7, 2_1_9_9_2, 3_6_4_5, 4, 2]							)

						self.assertSequenceEqual(
						    __lowerCAmelCase ,						['''<s>''', '''A''', ''',''', '''<mask>''', '''ĠAllen''', '''N''', '''LP''', '''Ġsentence''', '''.''', '''</s>''']							)
						self.assertSequenceEqual(
						    __lowerCAmelCase ,						['''<s>''', '''A''', ''',''', '''<mask>''', '''ĠAllen''', '''N''', '''LP''', '''Ġsentence''', '''.''', '''</s>''']							)





			def 	__lowerCamelCase       (					self							):



				'''simple docstring'''







				for trim_offsets, add_prefix_space in itertools.product([True, False] ,						repeat=2							):
					lowerCamelCase__              =	self.rust_tokenizer_class.from_pretrained(
					    self.tmpdirname ,						use_fast=__lowerCAmelCase ,						add_prefix_space=__lowerCAmelCase ,						trim_offsets=__lowerCAmelCase							)

					lowerCamelCase__              =	json.loads(tokenizer_r.backend_tokenizer.pre_tokenizer.__getstate__()							)
					lowerCamelCase__              =	json.loads(tokenizer_r.backend_tokenizer.post_processor.__getstate__()							)

					self.assertEqual(pre_tokenizer_state['''add_prefix_space'''] ,						__lowerCAmelCase							)

					self.assertEqual(post_processor_state['''add_prefix_space'''] ,						__lowerCAmelCase							)
					self.assertEqual(post_processor_state['''trim_offsets'''] ,						__lowerCAmelCase							)





			def 	__lowerCamelCase       (					self							):



				'''simple docstring'''







				for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
					with self.subTest(F'{tokenizer.__class__.__name__} ({pretrained_name})'							):
						lowerCamelCase__              =	'''hello'''  # `hello` is a token in the vocabulary of `pretrained_name`
						lowerCamelCase__              =	F'{text_of_1_token} {text_of_1_token}'

						lowerCamelCase__              =	self.rust_tokenizer_class.from_pretrained(
						    __lowerCAmelCase ,						use_fast=__lowerCAmelCase ,						add_prefix_space=__lowerCAmelCase ,						trim_offsets=__lowerCAmelCase							)
						lowerCamelCase__              =	tokenizer_r(__lowerCAmelCase ,						return_offsets_mapping=__lowerCAmelCase ,						add_special_tokens=__lowerCAmelCase							)
						self.assertEqual(encoding.offset_mapping[0] ,						(0, len(__lowerCAmelCase							))							)
						self.assertEqual(
						    encoding.offset_mapping[1] ,						(len(__lowerCAmelCase							) + 1, len(__lowerCAmelCase							) + 1 + len(__lowerCAmelCase							)) ,						)

						lowerCamelCase__              =	self.rust_tokenizer_class.from_pretrained(
						    __lowerCAmelCase ,						use_fast=__lowerCAmelCase ,						add_prefix_space=__lowerCAmelCase ,						trim_offsets=__lowerCAmelCase							)
						lowerCamelCase__              =	tokenizer_r(__lowerCAmelCase ,						return_offsets_mapping=__lowerCAmelCase ,						add_special_tokens=__lowerCAmelCase							)
						self.assertEqual(encoding.offset_mapping[0] ,						(0, len(__lowerCAmelCase							))							)
						self.assertEqual(
						    encoding.offset_mapping[1] ,						(len(__lowerCAmelCase							) + 1, len(__lowerCAmelCase							) + 1 + len(__lowerCAmelCase							)) ,						)

						lowerCamelCase__              =	self.rust_tokenizer_class.from_pretrained(
						    __lowerCAmelCase ,						use_fast=__lowerCAmelCase ,						add_prefix_space=__lowerCAmelCase ,						trim_offsets=__lowerCAmelCase							)
						lowerCamelCase__              =	tokenizer_r(__lowerCAmelCase ,						return_offsets_mapping=__lowerCAmelCase ,						add_special_tokens=__lowerCAmelCase							)
						self.assertEqual(encoding.offset_mapping[0] ,						(0, len(__lowerCAmelCase							))							)
						self.assertEqual(
						    encoding.offset_mapping[1] ,						(len(__lowerCAmelCase							), len(__lowerCAmelCase							) + 1 + len(__lowerCAmelCase							)) ,						)

						lowerCamelCase__              =	self.rust_tokenizer_class.from_pretrained(
						    __lowerCAmelCase ,						use_fast=__lowerCAmelCase ,						add_prefix_space=__lowerCAmelCase ,						trim_offsets=__lowerCAmelCase							)
						lowerCamelCase__              =	tokenizer_r(__lowerCAmelCase ,						return_offsets_mapping=__lowerCAmelCase ,						add_special_tokens=__lowerCAmelCase							)
						self.assertEqual(encoding.offset_mapping[0] ,						(0, len(__lowerCAmelCase							))							)
						self.assertEqual(
						    encoding.offset_mapping[1] ,						(len(__lowerCAmelCase							), len(__lowerCAmelCase							) + 1 + len(__lowerCAmelCase							)) ,						)

						lowerCamelCase__              =	F' {text}'

						# tokenizer_r = self.rust_tokenizer_class.from_pretrained(
						#     pretrained_name, use_fast=True, add_prefix_space=True, trim_offsets=True
						# )
						# encoding = tokenizer_r(text, return_offsets_mapping=True, add_special_tokens=False)
						# self.assertEqual(encoding.offset_mapping[0], (1, 1 + len(text_of_1_token)))
						# self.assertEqual(
						#     encoding.offset_mapping[1],
						#     (1 + len(text_of_1_token) + 1, 1 + len(text_of_1_token) + 1 + len(text_of_1_token)),
						# )

						lowerCamelCase__              =	self.rust_tokenizer_class.from_pretrained(
						    __lowerCAmelCase ,						use_fast=__lowerCAmelCase ,						add_prefix_space=__lowerCAmelCase ,						trim_offsets=__lowerCAmelCase							)
						lowerCamelCase__              =	tokenizer_r(__lowerCAmelCase ,						return_offsets_mapping=__lowerCAmelCase ,						add_special_tokens=__lowerCAmelCase							)
						self.assertEqual(encoding.offset_mapping[0] ,						(1, 1 + len(__lowerCAmelCase							))							)
						self.assertEqual(
						    encoding.offset_mapping[1] ,						(1 + len(__lowerCAmelCase							) + 1, 1 + len(__lowerCAmelCase							) + 1 + len(__lowerCAmelCase							)) ,						)

						lowerCamelCase__              =	self.rust_tokenizer_class.from_pretrained(
						    __lowerCAmelCase ,						use_fast=__lowerCAmelCase ,						add_prefix_space=__lowerCAmelCase ,						trim_offsets=__lowerCAmelCase							)
						lowerCamelCase__              =	tokenizer_r(__lowerCAmelCase ,						return_offsets_mapping=__lowerCAmelCase ,						add_special_tokens=__lowerCAmelCase							)
						self.assertEqual(encoding.offset_mapping[0] ,						(0, 1 + len(__lowerCAmelCase							))							)
						self.assertEqual(
						    encoding.offset_mapping[1] ,						(1 + len(__lowerCAmelCase							), 1 + len(__lowerCAmelCase							) + 1 + len(__lowerCAmelCase							)) ,						)

						lowerCamelCase__              =	self.rust_tokenizer_class.from_pretrained(
						    __lowerCAmelCase ,						use_fast=__lowerCAmelCase ,						add_prefix_space=__lowerCAmelCase ,						trim_offsets=__lowerCAmelCase							)
						lowerCamelCase__              =	tokenizer_r(__lowerCAmelCase ,						return_offsets_mapping=__lowerCAmelCase ,						add_special_tokens=__lowerCAmelCase							)
						self.assertEqual(encoding.offset_mapping[0] ,						(0, 1 + len(__lowerCAmelCase							))							)
						self.assertEqual(
						    encoding.offset_mapping[1] ,						(1 + len(__lowerCAmelCase							), 1 + len(__lowerCAmelCase							) + 1 + len(__lowerCAmelCase							)) ,						)










def lowerCAmelCase__(__snake_case							)       ->   int:







	'''simple docstring'''







	if not grid or not grid[0]:
		raise TypeError('''The grid does not contain the appropriate information'''							)

	for cell_n in range(1 ,len(grid[0]							)							):
		grid[0][cell_n] += grid[0][cell_n - 1]
	lowerCamelCase__              =	grid[0]

	for row_n in range(1 ,len(__snake_case							)							):
		lowerCamelCase__              =	grid[row_n]
		lowerCamelCase__              =	fill_row(__snake_case ,__snake_case							)
		lowerCamelCase__              =	grid[row_n]

	return grid[-1][-1]





def lowerCAmelCase__(__snake_case ,__snake_case							)       ->   list:







	'''simple docstring'''







	current_row[0] += row_above[0]
	for cell_n in range(1 ,len(__snake_case							)							):
		current_row[cell_n] += min(current_row[cell_n - 1] ,row_above[cell_n]							)

	return current_row


if __name__ == "__main__":
			import doctest

			doctest.testmod()



