



'''simple docstring'''



import json
import os
import unittest

from transformers import HerbertTokenizer, HerbertTokenizerFast
from transformers.models.herbert.tokenization_herbert import VOCAB_FILES_NAMES
from transformers.testing_utils import get_tests_dir, require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin






@require_tokenizers
class 			_SCREAMING_SNAKE_CASE				(lowercase__,	unittest.TestCase      ):
			A__								=  HerbertTokenizer
			A__								=  HerbertTokenizerFast
			A__								=  True



			def 				lowerCAmelCase (     self		:						List[Any]			)      ->      List[str]:
							"""simple docstring"""





							super().setUp()

							# Use a simpler test file without japanese/chinese characters
							with open(F'''{get_tests_dir()}/fixtures/sample_text_no_unicode.txt'''    ,			encoding='''utf-8'''			) as f_data:
											snake_case__      :   List[Any]      =    f_data.read().replace('''\n\n'''    ,			'''\n'''			).strip()

							snake_case__      :   Any      =    [
							    '''<s>''',
							    '''</s>''',
							    '''l''',
							    '''o''',
							    '''w''',
							    '''e''',
							    '''r''',
							    '''s''',
							    '''t''',
							    '''i''',
							    '''d''',
							    '''n''',
							    '''w</w>''',
							    '''r</w>''',
							    '''t</w>''',
							    '''lo''',
							    '''low''',
							    '''er</w>''',
							    '''low</w>''',
							    '''lowest</w>''',
							    '''newer</w>''',
							    '''wider</w>''',
							    ''',</w>''',
							    '''<unk>''',
							]
							snake_case__      :   List[str]      =    dict(zip(__UpperCamelCase    ,			range(len(__UpperCamelCase			)			)			)			)
							snake_case__      :   List[str]      =    ['''l o 123''', '''lo w 1456''', '''e r</w> 1789''', '''''']

							snake_case__      :   int      =    os.path.join(self.tmpdirname    ,			VOCAB_FILES_NAMES['''vocab_file''']			)
							snake_case__      :   Dict      =    os.path.join(self.tmpdirname    ,			VOCAB_FILES_NAMES['''merges_file''']			)
							with open(self.vocab_file    ,			'''w'''			) as fp:
											fp.write(json.dumps(__UpperCamelCase			)			)
							with open(self.merges_file    ,			'''w'''			) as fp:
											fp.write('''\n'''.join(__UpperCamelCase			)			)



			def 				lowerCAmelCase (     self		:						int    ,			__UpperCamelCase		:						Dict			)      ->      Tuple:
							"""simple docstring"""





							snake_case__      :   Union[str, Any]      =    '''lower newer'''
							snake_case__      :   Optional[int]      =    '''lower newer'''
							return input_text, output_text



			def 				lowerCAmelCase (     self		:						Any			)      ->      List[Any]:
							"""simple docstring"""





							snake_case__      :   int      =    self.tokenizer_class(vocab_file=self.vocab_file    ,			merges_file=self.merges_file			)

							snake_case__      :   List[str]      =    '''lower'''
							snake_case__      :   Optional[Any]      =    ['''low''', '''er</w>''']
							snake_case__      :   Any      =    tokenizer.tokenize(__UpperCamelCase			)
							self.assertListEqual(__UpperCamelCase    ,			__UpperCamelCase			)

							snake_case__      :   str      =    tokens + ['''<unk>''']
							snake_case__      :   List[str]      =    [16, 17, 23]
							self.assertListEqual(tokenizer.convert_tokens_to_ids(__UpperCamelCase			)    ,			__UpperCamelCase			)



			def 				lowerCAmelCase (     self		:						List[str]			)      ->      str:
							"""simple docstring"""





							if not self.test_rust_tokenizer:
											return

							snake_case__      :   Optional[int]      =    self.get_tokenizer()
							snake_case__      :   Union[str, Any]      =    self.get_rust_tokenizer()

							snake_case__      :   Any      =    '''lower,newer'''

							snake_case__      :   Any      =    tokenizer.tokenize(__UpperCamelCase			)
							snake_case__      :   Union[str, Any]      =    rust_tokenizer.tokenize(__UpperCamelCase			)
							self.assertListEqual(__UpperCamelCase    ,			__UpperCamelCase			)

							snake_case__      :   Tuple      =    tokenizer.encode(__UpperCamelCase    ,			add_special_tokens=__UpperCamelCase			)
							snake_case__      :   Any      =    rust_tokenizer.encode(__UpperCamelCase    ,			add_special_tokens=__UpperCamelCase			)
							self.assertListEqual(__UpperCamelCase    ,			__UpperCamelCase			)

							snake_case__      :   Tuple      =    self.get_rust_tokenizer()
							snake_case__      :   Optional[Any]      =    tokenizer.encode(__UpperCamelCase			)
							snake_case__      :   Optional[int]      =    rust_tokenizer.encode(__UpperCamelCase			)
							self.assertListEqual(__UpperCamelCase    ,			__UpperCamelCase			)







			@slow
			def 				lowerCAmelCase (     self		:						str			)      ->      Union[str, Any]:
							"""simple docstring"""





							snake_case__      :   Optional[int]      =    self.tokenizer_class.from_pretrained('''allegro/herbert-base-cased'''			)

							snake_case__      :   Optional[int]      =    tokenizer.encode('''konstruowanie sekwencji'''    ,			add_special_tokens=__UpperCamelCase			)
							snake_case__      :   Dict      =    tokenizer.encode('''konstruowanie wielu sekwencji'''    ,			add_special_tokens=__UpperCamelCase			)

							snake_case__      :   int      =    tokenizer.build_inputs_with_special_tokens(__UpperCamelCase			)
							snake_case__      :   str      =    tokenizer.build_inputs_with_special_tokens(__UpperCamelCase    ,			__UpperCamelCase			)

							assert encoded_sentence == [0] + text + [2]
							assert encoded_pair == [0] + text + [2] + text_a + [2]









'''simple docstring'''



from typing import TYPE_CHECKING

from ...utils import _LazyModule


_lowercase       :						List[str]						={"tokenization_bert_japanese": ["BertJapaneseTokenizer", "CharacterTokenizer", "MecabTokenizer"]}


if TYPE_CHECKING:
				from .tokenization_bert_japanese import BertJapaneseTokenizer, CharacterTokenizer, MecabTokenizer

else:
				import sys

				_lowercase       :						Dict						=_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)




