'''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 			lowerCamelCase_			(UpperCamelCase__							,				unittest.TestCase					):
      '''simple docstring'''

      __UpperCamelCase:						int      			=		HerbertTokenizer
      __UpperCamelCase:						Any      			=		HerbertTokenizerFast
      __UpperCamelCase:						str      			=		True




      def   _A			( self		:       List[str] ):
             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:
                    _UpperCAmelCase  :						Tuple							   =					f_data.read().replace("\n\n"		,      "\n" ).strip()

             _UpperCAmelCase  :						Dict							   =					[
                 '''<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>''',
             ]
             _UpperCAmelCase  :						List[str]							   =					dict(zip(snake_case_		,      range(len(snake_case_ ) ) ) )
             _UpperCAmelCase  :						List[Any]							   =					['''l o 123''', '''lo w 1456''', '''e r</w> 1789''', '''''']

             _UpperCAmelCase  :						Any							   =					os.path.join(self.tmpdirname		,      VOCAB_FILES_NAMES["vocab_file"] )
             _UpperCAmelCase  :						Any							   =					os.path.join(self.tmpdirname		,      VOCAB_FILES_NAMES["merges_file"] )
             with open(self.vocab_file		,      "w" ) as fp:
                    fp.write(json.dumps(snake_case_ ) )
             with open(self.merges_file		,      "w" ) as fp:
                    fp.write("\n".join(snake_case_ ) )




      def   _A			( self		:       Dict		,      A		:       Any ):
             _UpperCAmelCase  :						List[Any]							   =					'''lower newer'''
             _UpperCAmelCase  :						Dict							   =					'''lower newer'''
             return input_text, output_text




      def   _A			( self		:       int ):
             _UpperCAmelCase  :						Tuple							   =					self.tokenizer_class(vocab_file=self.vocab_file		,      merges_file=self.merges_file )

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

             _UpperCAmelCase  :						Dict							   =					tokens + ['''<unk>''']
             _UpperCAmelCase  :						Union[str, Any]							   =					[16, 17, 23]
             self.assertListEqual(tokenizer.convert_tokens_to_ids(snake_case_ )		,      snake_case_ )




      def   _A			( self		:       Any ):
             if not self.test_rust_tokenizer:
                    return

             _UpperCAmelCase  :						str							   =					self.get_tokenizer()
             _UpperCAmelCase  :						List[str]							   =					self.get_rust_tokenizer()

             _UpperCAmelCase  :						str							   =					'''lower,newer'''

             _UpperCAmelCase  :						int							   =					tokenizer.tokenize(snake_case_ )
             _UpperCAmelCase  :						Dict							   =					rust_tokenizer.tokenize(snake_case_ )
             self.assertListEqual(snake_case_		,      snake_case_ )

             _UpperCAmelCase  :						str							   =					tokenizer.encode(snake_case_		,      add_special_tokens=snake_case_ )
             _UpperCAmelCase  :						Union[str, Any]							   =					rust_tokenizer.encode(snake_case_		,      add_special_tokens=snake_case_ )
             self.assertListEqual(snake_case_		,      snake_case_ )

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





      @slow
      def   _A			( self		:       Optional[int] ):
             _UpperCAmelCase  :						Union[str, Any]							   =					self.tokenizer_class.from_pretrained("allegro/herbert-base-cased" )

             _UpperCAmelCase  :						List[Any]							   =					tokenizer.encode("konstruowanie sekwencji"		,      add_special_tokens=snake_case_ )
             _UpperCAmelCase  :						Tuple							   =					tokenizer.encode("konstruowanie wielu sekwencji"		,      add_special_tokens=snake_case_ )

             _UpperCAmelCase  :						Optional[int]							   =					tokenizer.build_inputs_with_special_tokens(snake_case_ )
             _UpperCAmelCase  :						Tuple							   =					tokenizer.build_inputs_with_special_tokens(snake_case_		,      snake_case_ )

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


'''simple docstring'''




import abc
import copy
import dataclasses
from dataclasses import dataclass
from typing import ClassVar, Dict, Type, TypeVar

from ..features import Features


__SCREAMING_SNAKE_CASE :  Any  =						TypeVar("""T""", bound="""TaskTemplate""")

@dataclass(frozen=snake_case__					)
class 			lowerCamelCase_			(abc.ABC					):
      '''simple docstring'''

      __UpperCamelCase:						str
      __UpperCamelCase:						ClassVar[Features]
      __UpperCamelCase:						ClassVar[Features]




      def   _A			( self		:       T		,      A		:       Features ):
             return copy.deepcopy(self )




      @property
      def   _A			( self		:       List[str] ):
             return Features(**self.input_schema		,      **self.label_schema )




      @property
      @abc.abstractmethod
      def   _A			( self		:       Optional[int] ):
             raise NotImplementedError





      @classmethod
      def   _A			( cls		:       Type[T]		,      A		:       dict ):
             _UpperCAmelCase  :						Optional[Any]							   =					{f.name for f in dataclasses.fields(cls )}
             return cls(**{k: v for k, v in template_dict.items() if k in field_names} )

