


import json
import os
import shutil
import tempfile
import unittest

from transformers import BatchEncoding, CanineTokenizer
from transformers.testing_utils import require_tokenizers, require_torch
from transformers.tokenization_utils import AddedToken
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin

class 						__a (							UpperCAmelCase       , unittest.TestCase     ):
		_a      :    str           =      CanineTokenizer
		_a      :    Tuple           =      False
		def       UpperCAmelCase__							(     self		)					->			str:




									"""simple docstring"""





									super().setUp()
									_UpperCAmelCase											=     CanineTokenizer()
									tokenizer.save_pretrained(self.tmpdirname		)
		@cached_property
		def       UpperCAmelCase__							(     self		)					->			Union[str, Any]:




									"""simple docstring"""





									return CanineTokenizer.from_pretrained('google/canine-s'		)
		def       UpperCAmelCase__							(     self     ,       **_SCREAMING_SNAKE_CASE		)					->			CanineTokenizer:




									"""simple docstring"""





									_UpperCAmelCase											=     self.tokenizer_class.from_pretrained(self.tmpdirname     ,       **_SCREAMING_SNAKE_CASE		)
									_UpperCAmelCase											=     1024
									return tokenizer
		@require_torch
		def       UpperCAmelCase__							(     self		)					->			List[Any]:




									"""simple docstring"""





									_UpperCAmelCase											=     self.canine_tokenizer
									_UpperCAmelCase											=     ['Life is like a box of chocolates.', 'You never know what you\'re gonna get.']
									# fmt: off
									_UpperCAmelCase											=     [57344, 76, 105, 102, 101, 32, 105, 115, 32, 108, 105, 107, 101, 32, 97, 32, 98, 111, 120, 32, 111, 102, 32, 99, 104, 111, 99, 111, 108, 97, 116, 101, 115, 46, 57345, 0, 0, 0, 0]
									# fmt: on
									_UpperCAmelCase											=     tokenizer(_SCREAMING_SNAKE_CASE     ,       padding=_SCREAMING_SNAKE_CASE     ,       return_tensors='pt'		)
									self.assertIsInstance(_SCREAMING_SNAKE_CASE     ,       _SCREAMING_SNAKE_CASE		)

									_UpperCAmelCase											=     list(batch.input_ids.numpy()[0]		)

									self.assertListEqual(_SCREAMING_SNAKE_CASE     ,       _SCREAMING_SNAKE_CASE		)

									self.assertEqual((2, 39)     ,       batch.input_ids.shape		)
									self.assertEqual((2, 39)     ,       batch.attention_mask.shape		)
		@require_torch
		def       UpperCAmelCase__							(     self		)					->			Tuple:




									"""simple docstring"""





									_UpperCAmelCase											=     self.canine_tokenizer
									_UpperCAmelCase											=     ['Once there was a man.', 'He wrote a test in HuggingFace Tranformers.']
									_UpperCAmelCase											=     tokenizer(_SCREAMING_SNAKE_CASE     ,       padding=_SCREAMING_SNAKE_CASE     ,       return_tensors='pt'		)
									# check if input_ids, attention_mask and token_type_ids are returned
									self.assertIn('input_ids'     ,       _SCREAMING_SNAKE_CASE		)
									self.assertIn('attention_mask'     ,       _SCREAMING_SNAKE_CASE		)
									self.assertIn('token_type_ids'     ,       _SCREAMING_SNAKE_CASE		)
		@require_torch
		def       UpperCAmelCase__							(     self		)					->			str:




									"""simple docstring"""





									_UpperCAmelCase											=     self.canine_tokenizer
									_UpperCAmelCase											=     [
									    'What\'s the weater?',
									    'It\'s about 25 degrees.',
									]
									_UpperCAmelCase											=     tokenizer(
									    text_target=_SCREAMING_SNAKE_CASE     ,       max_length=32     ,       padding='max_length'     ,       truncation=_SCREAMING_SNAKE_CASE     ,       return_tensors='pt'		)
									self.assertEqual(32     ,       targets['input_ids'].shape[1]		)
		def       UpperCAmelCase__							(     self		)					->			Optional[int]:




									"""simple docstring"""





									_UpperCAmelCase											=     self.get_tokenizers()
									for tokenizer in tokenizers:
																with self.subTest(f'''{tokenizer.__class__.__name__}'''		):
																							self.assertNotEqual(tokenizer.model_max_length     ,       42		)

        # Now let's start the test
									_UpperCAmelCase											=     self.get_tokenizers()
									for tokenizer in tokenizers:
																with self.subTest(f'''{tokenizer.__class__.__name__}'''		):
																							# Isolate this from the other tests because we save additional tokens/etc
																							_UpperCAmelCase											=     tempfile.mkdtemp()

																							_UpperCAmelCase											=     ' He is very happy, UNwant\u00E9d,running'
																							_UpperCAmelCase											=     tokenizer.encode(_SCREAMING_SNAKE_CASE     ,       add_special_tokens=_SCREAMING_SNAKE_CASE		)
																							tokenizer.save_pretrained(_SCREAMING_SNAKE_CASE		)

																							_UpperCAmelCase											=     tokenizer.__class__.from_pretrained(_SCREAMING_SNAKE_CASE		)
																							_UpperCAmelCase											=     after_tokenizer.encode(_SCREAMING_SNAKE_CASE     ,       add_special_tokens=_SCREAMING_SNAKE_CASE		)
																							self.assertListEqual(_SCREAMING_SNAKE_CASE     ,       _SCREAMING_SNAKE_CASE		)

																							shutil.rmtree(_SCREAMING_SNAKE_CASE		)

									_UpperCAmelCase											=     self.get_tokenizers(model_max_length=42		)
									for tokenizer in tokenizers:
																with self.subTest(f'''{tokenizer.__class__.__name__}'''		):
																							# Isolate this from the other tests because we save additional tokens/etc
																							_UpperCAmelCase											=     tempfile.mkdtemp()

																							_UpperCAmelCase											=     ' He is very happy, UNwant\u00E9d,running'

																							_UpperCAmelCase											=     tokenizer.additional_special_tokens

																							# We can add a new special token for Canine as follows:
																							_UpperCAmelCase											=     chr(0XE_007		)
																							additional_special_tokens.append(_SCREAMING_SNAKE_CASE		)
																							tokenizer.add_special_tokens({'additional_special_tokens': additional_special_tokens}		)
																							_UpperCAmelCase											=     tokenizer.encode(_SCREAMING_SNAKE_CASE     ,       add_special_tokens=_SCREAMING_SNAKE_CASE		)
																							tokenizer.save_pretrained(_SCREAMING_SNAKE_CASE		)

																							_UpperCAmelCase											=     tokenizer.__class__.from_pretrained(_SCREAMING_SNAKE_CASE		)
																							_UpperCAmelCase											=     after_tokenizer.encode(_SCREAMING_SNAKE_CASE     ,       add_special_tokens=_SCREAMING_SNAKE_CASE		)
																							self.assertListEqual(_SCREAMING_SNAKE_CASE     ,       _SCREAMING_SNAKE_CASE		)
																							self.assertIn(_SCREAMING_SNAKE_CASE     ,       after_tokenizer.additional_special_tokens		)
																							self.assertEqual(after_tokenizer.model_max_length     ,       42		)

																							_UpperCAmelCase											=     tokenizer.__class__.from_pretrained(_SCREAMING_SNAKE_CASE     ,       model_max_length=43		)
																							self.assertEqual(tokenizer.model_max_length     ,       43		)

																							shutil.rmtree(_SCREAMING_SNAKE_CASE		)
		def       UpperCAmelCase__							(     self		)					->			str:




									"""simple docstring"""





									_UpperCAmelCase											=     self.get_tokenizers(do_lower_case=_SCREAMING_SNAKE_CASE		)
									for tokenizer in tokenizers:
																with self.subTest(f'''{tokenizer.__class__.__name__}'''		):
																							_UpperCAmelCase						,			_UpperCAmelCase											=     self.get_clean_sequence(_SCREAMING_SNAKE_CASE		)

																							# a special token for Canine can be defined as follows:
																							_UpperCAmelCase											=     0XE_005
																							_UpperCAmelCase											=     chr(_SCREAMING_SNAKE_CASE		)

																							tokenizer.add_special_tokens({'cls_token': special_token}		)
																							_UpperCAmelCase											=     tokenizer.encode(_SCREAMING_SNAKE_CASE     ,       add_special_tokens=_SCREAMING_SNAKE_CASE		)
																							self.assertEqual(len(_SCREAMING_SNAKE_CASE		)     ,       1		)

																							_UpperCAmelCase											=     tokenizer.decode(ids + encoded_special_token     ,       clean_up_tokenization_spaces=_SCREAMING_SNAKE_CASE		)
																							_UpperCAmelCase											=     tokenizer.encode(_SCREAMING_SNAKE_CASE     ,       add_special_tokens=_SCREAMING_SNAKE_CASE		)

																							_UpperCAmelCase											=     tokenizer.encode(_SCREAMING_SNAKE_CASE     ,       add_special_tokens=_SCREAMING_SNAKE_CASE		)
																							_UpperCAmelCase											=     tokenizer.encode(_SCREAMING_SNAKE_CASE     ,       add_special_tokens=_SCREAMING_SNAKE_CASE		)
																							self.assertEqual(_SCREAMING_SNAKE_CASE     ,       input_encoded + special_token_id		)

																							_UpperCAmelCase											=     tokenizer.decode(_SCREAMING_SNAKE_CASE     ,       skip_special_tokens=_SCREAMING_SNAKE_CASE		)
																							self.assertTrue(special_token not in decoded		)
		def       UpperCAmelCase__							(     self		)					->			Optional[int]:




									"""simple docstring"""





									_UpperCAmelCase											=     self.get_tokenizers(do_lower_case=_SCREAMING_SNAKE_CASE		)
									for tokenizer in tokenizers:
																with self.subTest(f'''{tokenizer.__class__.__name__}'''		):
																							_UpperCAmelCase											=     chr(0XE_005		)
																							_UpperCAmelCase											=     chr(0XE_006		)

																							# `add_tokens` method stores special tokens only in `tokenizer.unique_no_split_tokens`. (in tokenization_utils.py)
																							tokenizer.add_tokens([SPECIAL_TOKEN_1]     ,       special_tokens=_SCREAMING_SNAKE_CASE		)
																							# `add_special_tokens` method stores special tokens in `tokenizer.additional_special_tokens`,
																							# which also occur in `tokenizer.all_special_tokens`. (in tokenization_utils_base.py)
																							tokenizer.add_special_tokens({'additional_special_tokens': [SPECIAL_TOKEN_2]}		)

																							_UpperCAmelCase											=     tokenizer.tokenize(_SCREAMING_SNAKE_CASE		)
																							_UpperCAmelCase											=     tokenizer.tokenize(_SCREAMING_SNAKE_CASE		)

																							self.assertEqual(len(_SCREAMING_SNAKE_CASE		)     ,       1		)
																							self.assertEqual(len(_SCREAMING_SNAKE_CASE		)     ,       1		)
																							self.assertEqual(token_a[0]     ,       _SCREAMING_SNAKE_CASE		)
																							self.assertEqual(token_a[0]     ,       _SCREAMING_SNAKE_CASE		)
		@require_tokenizers
		def       UpperCAmelCase__							(     self		)					->			Any:




									"""simple docstring"""





									_UpperCAmelCase											=     self.get_tokenizers(do_lower_case=_SCREAMING_SNAKE_CASE		)
									for tokenizer in tokenizers:
																with self.subTest(f'''{tokenizer.__class__.__name__}'''		):
																							# a special token for Canine can be defined as follows:
																							_UpperCAmelCase											=     0XE_006
																							_UpperCAmelCase											=     chr(_SCREAMING_SNAKE_CASE		)

																							_UpperCAmelCase											=     AddedToken(_SCREAMING_SNAKE_CASE     ,       lstrip=_SCREAMING_SNAKE_CASE		)
																							tokenizer.add_special_tokens({'additional_special_tokens': [new_token]}		)

																							with tempfile.TemporaryDirectory() as tmp_dir_name:
																														tokenizer.save_pretrained(_SCREAMING_SNAKE_CASE		)
																														tokenizer.from_pretrained(_SCREAMING_SNAKE_CASE		)
		def       UpperCAmelCase__							(     self		)					->			Tuple:




									"""simple docstring"""





									_UpperCAmelCase											=     []
									if self.test_slow_tokenizer:
																tokenizer_list.append((self.tokenizer_class, self.get_tokenizer())		)

									if self.test_rust_tokenizer:
																tokenizer_list.append((self.rust_tokenizer_class, self.get_rust_tokenizer())		)

									for tokenizer_class, tokenizer_utils in tokenizer_list:
																with tempfile.TemporaryDirectory() as tmp_dir:
																							tokenizer_utils.save_pretrained(_SCREAMING_SNAKE_CASE		)

																							with open(os.path.join(_SCREAMING_SNAKE_CASE     ,       'special_tokens_map.json'		)     ,       encoding='utf-8'		) as json_file:
																														_UpperCAmelCase											=     json.load(_SCREAMING_SNAKE_CASE		)

																							with open(os.path.join(_SCREAMING_SNAKE_CASE     ,       'tokenizer_config.json'		)     ,       encoding='utf-8'		) as json_file:
																														_UpperCAmelCase											=     json.load(_SCREAMING_SNAKE_CASE		)

																							# a special token for Canine can be defined as follows:
																							_UpperCAmelCase											=     0XE_006
																							_UpperCAmelCase											=     chr(_SCREAMING_SNAKE_CASE		)

																							_UpperCAmelCase											=     [new_token_a]
																							_UpperCAmelCase											=     [new_token_a]

																							with open(os.path.join(_SCREAMING_SNAKE_CASE     ,       'special_tokens_map.json'		)     ,       'w'     ,       encoding='utf-8'		) as outfile:
																														json.dump(_SCREAMING_SNAKE_CASE     ,       _SCREAMING_SNAKE_CASE		)
																							with open(os.path.join(_SCREAMING_SNAKE_CASE     ,       'tokenizer_config.json'		)     ,       'w'     ,       encoding='utf-8'		) as outfile:
																														json.dump(_SCREAMING_SNAKE_CASE     ,       _SCREAMING_SNAKE_CASE		)

																							# the following checks allow us to verify that our test works as expected, i.e. that the tokenizer takes
																							# into account the new value of additional_special_tokens given in the "tokenizer_config.json" and
																							# "special_tokens_map.json" files
																							_UpperCAmelCase											=     tokenizer_class.from_pretrained(_SCREAMING_SNAKE_CASE     ,       extra_ids=0		)
																							self.assertIn(_SCREAMING_SNAKE_CASE     ,       tokenizer_without_change_in_init.additional_special_tokens		)
																							# self.assertIn("an_additional_special_token",tokenizer_without_change_in_init.get_vocab()) # ByT5Tokenization no vocab
																							self.assertEqual(
																							    [new_token_a]     ,       tokenizer_without_change_in_init.convert_ids_to_tokens(
																							        tokenizer_without_change_in_init.convert_tokens_to_ids([new_token_a]		)		)     ,       )

																							_UpperCAmelCase											=     0XE_007
																							_UpperCAmelCase											=     chr(_SCREAMING_SNAKE_CASE		)
																							# Now we test that we can change the value of additional_special_tokens in the from_pretrained
																							_UpperCAmelCase											=     [AddedToken(_SCREAMING_SNAKE_CASE     ,       lstrip=_SCREAMING_SNAKE_CASE		)]
																							_UpperCAmelCase											=     tokenizer_class.from_pretrained(
																							    _SCREAMING_SNAKE_CASE     ,       additional_special_tokens=_SCREAMING_SNAKE_CASE     ,       extra_ids=0		)

																							self.assertIn(_SCREAMING_SNAKE_CASE     ,       tokenizer.additional_special_tokens		)
																							# self.assertIn(new_token_2,tokenizer.get_vocab()) # ByT5Tokenization no vocab
																							self.assertEqual(
																							    [new_token_a]     ,       tokenizer.convert_ids_to_tokens(tokenizer.convert_tokens_to_ids([new_token_a]		)		)		)
		@require_tokenizers
		def       UpperCAmelCase__							(     self		)					->			Any:




									"""simple docstring"""





									_UpperCAmelCase											=     self.get_tokenizers(do_lower_case=_SCREAMING_SNAKE_CASE		)
									for tokenizer in tokenizers:
																with self.subTest(f'''{tokenizer.__class__.__name__}'''		):
																							_UpperCAmelCase											=     'hello world'
																							if self.space_between_special_tokens:
																														_UpperCAmelCase											=     '[CLS] hello world [SEP]'
																							else:
																														_UpperCAmelCase											=     input
																							_UpperCAmelCase											=     tokenizer.encode(_SCREAMING_SNAKE_CASE     ,       add_special_tokens=_SCREAMING_SNAKE_CASE		)
																							_UpperCAmelCase											=     tokenizer.decode(_SCREAMING_SNAKE_CASE     ,       spaces_between_special_tokens=self.space_between_special_tokens		)
																							self.assertIn(_SCREAMING_SNAKE_CASE     ,       [output, output.lower()]		)
		def       UpperCAmelCase__							(     self		)					->			Any:




									"""simple docstring"""





									_UpperCAmelCase											=     self.get_tokenizers()
									for tokenizer in tokenizers:
																with self.subTest(f'''{tokenizer.__class__.__name__}'''		):
																							_UpperCAmelCase											=     [
																							    'bos_token',
																							    'eos_token',
																							    'unk_token',
																							    'sep_token',
																							    'pad_token',
																							    'cls_token',
																							    'mask_token',
																							]

									_UpperCAmelCase											=     'a'
									_UpperCAmelCase											=     ord(_SCREAMING_SNAKE_CASE		)

									for attr in attributes_list:
																setattr(_SCREAMING_SNAKE_CASE     ,       attr + '_id'     ,       _SCREAMING_SNAKE_CASE		)
																self.assertEqual(getattr(_SCREAMING_SNAKE_CASE     ,       _SCREAMING_SNAKE_CASE		)     ,       _SCREAMING_SNAKE_CASE		)
																self.assertEqual(getattr(_SCREAMING_SNAKE_CASE     ,       attr + '_id'		)     ,       _SCREAMING_SNAKE_CASE		)

																setattr(_SCREAMING_SNAKE_CASE     ,       attr + '_id'     ,       _SCREAMING_SNAKE_CASE		)
																self.assertEqual(getattr(_SCREAMING_SNAKE_CASE     ,       _SCREAMING_SNAKE_CASE		)     ,       _SCREAMING_SNAKE_CASE		)
																self.assertEqual(getattr(_SCREAMING_SNAKE_CASE     ,       attr + '_id'		)     ,       _SCREAMING_SNAKE_CASE		)

									setattr(_SCREAMING_SNAKE_CASE     ,       'additional_special_tokens_ids'     ,       []		)
									self.assertListEqual(getattr(_SCREAMING_SNAKE_CASE     ,       'additional_special_tokens'		)     ,       []		)
									self.assertListEqual(getattr(_SCREAMING_SNAKE_CASE     ,       'additional_special_tokens_ids'		)     ,       []		)

									_UpperCAmelCase											=     0XE_006
									_UpperCAmelCase											=     chr(_SCREAMING_SNAKE_CASE		)
									setattr(_SCREAMING_SNAKE_CASE     ,       'additional_special_tokens_ids'     ,       [additional_special_token_id]		)
									self.assertListEqual(getattr(_SCREAMING_SNAKE_CASE     ,       'additional_special_tokens'		)     ,       [additional_special_token]		)
									self.assertListEqual(getattr(_SCREAMING_SNAKE_CASE     ,       'additional_special_tokens_ids'		)     ,       [additional_special_token_id]		)
		def       UpperCAmelCase__							(     self		)					->			int:




									"""simple docstring"""





									pass
		def       UpperCAmelCase__							(     self		)					->			Union[str, Any]:




									"""simple docstring"""





									pass
		def       UpperCAmelCase__							(     self		)					->			int:




									"""simple docstring"""





									pass
		def       UpperCAmelCase__							(     self		)					->			List[str]:




									"""simple docstring"""





									pass
		def       UpperCAmelCase__							(     self		)					->			int:




									"""simple docstring"""





									pass
		def       UpperCAmelCase__							(     self		)					->			int:




									"""simple docstring"""





									pass
		def       UpperCAmelCase__							(     self		)					->			List[Any]:




									"""simple docstring"""





									pass






		def       UpperCAmelCase__							(     self		)					->			int:




									"""simple docstring"""





									pass




from __future__ import annotations

def 			lowerCAmelCase__					(     a__:						str     ,    a__:						str			)    ->						bool:


							'''simple docstring'''





							_UpperCAmelCase											=     get_failure_array(a__			)

							# 2) Step through text searching for pattern
							_UpperCAmelCase						,			_UpperCAmelCase											=     0, 0  # index into text, pattern
							while i < len(a__			):
														if pattern[j] == text[i]:
																					if j == (len(a__			) - 1):
																												return True
																					j += 1

														# if this is a prefix in our pattern
														# just go back far enough to continue
														elif j > 0:
																					_UpperCAmelCase											=     failure[j - 1]
																					continue
														i += 1
							return False

def 			lowerCAmelCase__					(     a__:						str			)    ->						list[int]:


							'''simple docstring'''





							_UpperCAmelCase											=     [0]
							_UpperCAmelCase											=     0
							_UpperCAmelCase											=     1
							while j < len(a__			):
														if pattern[i] == pattern[j]:
																					i += 1
														elif i > 0:
																					_UpperCAmelCase											=     failure[i - 1]
																					continue
														j += 1
														failure.append(a__			)
							return failure


if __name__ == "__main__":
		# Test 1)
		lowerCAmelCase__    :List[Any]       =				'''abc1abc12'''
		lowerCAmelCase__    :Optional[int]       =				'''alskfjaldsabc1abc1abc12k23adsfabcabc'''
		lowerCAmelCase__    :int       =				'''alskfjaldsk23adsfabcabc'''
		assert kmp(pattern, texta) and not kmp(pattern, texta)

		# Test 2)
		lowerCAmelCase__    :List[str]       =				'''ABABX'''
		lowerCAmelCase__    :int       =				'''ABABZABABYABABX'''
		assert kmp(pattern, text)

		# Test 3)
		lowerCAmelCase__    :int       =				'''AAAB'''
		lowerCAmelCase__    :Any       =				'''ABAAAAAB'''
		assert kmp(pattern, text)

		# Test 4)
		lowerCAmelCase__    :Union[str, Any]       =				'''abcdabcy'''
		lowerCAmelCase__    :Any       =				'''abcxabcdabxabcdabcdabcy'''
		assert kmp(pattern, text)

		# Test 5)
		lowerCAmelCase__    :List[Any]       =				'''aabaabaaa'''
		assert get_failure_array(pattern) == [0, 1, 0, 1, 2, 3, 4, 5, 2]
