
'''simple docstring'''






import dataclasses
import json
import sys
import types
from argparse import ArgumentDefaultsHelpFormatter, ArgumentParser, ArgumentTypeError
from copy import copy
from enum import Enum
from inspect import isclass
from pathlib import Path
from typing import Any, Callable, Dict, Iterable, List, Literal, NewType, Optional, Tuple, Union, get_type_hints

import yaml


A			      =      NewType('DataClass', Any)
A			      =      NewType('DataClassType', Any)





def    UpperCAmelCase							(  UpperCAmelCase__							:							Dict):
				if isinstance(SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_):
								return v
				if v.lower() in ("yes", "true", "t", "y", "1"):
								return True
				elif v.lower() in ("no", "false", "f", "n", "0"):
								return False
				else:
								raise ArgumentTypeError(
								    F'''Truthy value expected: got {v} but expected one of yes/no, true/false, t/f, y/n, 1/0 (case insensitive).''')





def    UpperCAmelCase							(  UpperCAmelCase__							:							List[Any]):
				lowerCamelCase					:			Tuple									= {str(SCREAMING_SNAKE_CASE_): choice for choice in choices}
				return lambda UpperCAmelCase__: str_to_choice.get(SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_)





def    UpperCAmelCase							(  *,
    UpperCAmelCase__							:							Any = None       ,							UpperCAmelCase__							:							Optional[Any] = None       ,							UpperCAmelCase__							:							List[str] = dataclasses.MISSING       ,							UpperCAmelCase__							:							int = dataclasses.MISSING       ,							UpperCAmelCase__							:							Optional[Any] = None       ,							**UpperCAmelCase__							:							Union[str, Any]       ,							):
				if metadata is None:
								# Important, don't use as default param in function signature because dict is mutable and shared across function calls
								lowerCamelCase					:			Optional[Any]									= {}
				if aliases is not None:
								lowerCamelCase					:			Dict									= aliases
				if help is not None:
								lowerCamelCase					:			int									= help

				return dataclasses.field(metadata=SCREAMING_SNAKE_CASE_       ,							default=SCREAMING_SNAKE_CASE_       ,							default_factory=SCREAMING_SNAKE_CASE_       ,							**SCREAMING_SNAKE_CASE_)




class     __snake_case		(   a__):
					_lowerCAmelCase			     =	42
					def __init__(     self,    A,    **A      ):

									"""simple docstring"""


									if "formatter_class" not in kwargs:
													lowerCamelCase					:			Any									= ArgumentDefaultsHelpFormatter
									super().__init__(**A      )
									if dataclasses.is_dataclass(A      ):
													lowerCamelCase					:			Tuple									= [dataclass_types]
									lowerCamelCase					:			Optional[int]									= list(A      )
									for dtype in self.dataclass_types:
													self._add_dataclass_arguments(A      )
					@staticmethod
					def     UpperCAmelCase_							(     A,    A      ):

									"""simple docstring"""


									lowerCamelCase					:			Tuple									= F'''--{field.name}'''
									lowerCamelCase					:			Union[str, Any]									= field.metadata.copy()
									# field.metadata is not used at all by Data Classes,
									# it is provided as a third-party extension mechanism.
									if isinstance(field.type,    A      ):
													raise RuntimeError(
													    'Unresolved type detected, which should have been done with the help of '
													    '`typing.get_type_hints` method by default'      )

									lowerCamelCase					:			Dict									= kwargs.pop('aliases',    []      )
									if isinstance(A,    A      ):
													lowerCamelCase					:			Union[str, Any]									= [aliases]

									lowerCamelCase					:			Union[str, Any]									= getattr(field.type,    '__origin__',    field.type      )
									if origin_type is Union or (hasattr(A,    'UnionType'      ) and isinstance(A,    types.UnionType      )):
													if str not in field.type.__args__ and (
													    len(field.type.__args__      ) != 2 or type(A      ) not in field.type.__args__
													):
																	raise ValueError(
																	    'Only `Union[X, NoneType]` (i.e., `Optional[X]`) is allowed for `Union` because'
																	    ' the argument parser only supports one type per argument.'
																	    F''' Problem encountered in field \'{field.name}\'.'''      )
													if type(A      ) not in field.type.__args__:
																	# filter `str` in Union
																	lowerCamelCase					:			Dict									= field.type.__args__[0] if field.type.__args__[1] == str else field.type.__args__[1]
																	lowerCamelCase					:			Optional[Any]									= getattr(field.type,    '__origin__',    field.type      )
													elif bool not in field.type.__args__:
																	# filter `NoneType` in Union (except for `Union[bool, NoneType]`)
																	lowerCamelCase					:			Optional[int]									= (
																	    field.type.__args__[0] if isinstance(A,    field.type.__args__[1]      ) else field.type.__args__[1]
																	)
																	lowerCamelCase					:			Optional[Any]									= getattr(field.type,    '__origin__',    field.type      )

        # A variable to store kwargs for a boolean field, if needed
        # so that we can init a `no_*` complement argument (see below)
									lowerCamelCase					:			Any									= {}
									if origin_type is Literal or (isinstance(field.type,    A      ) and issubclass(field.type,    A      )):
													if origin_type is Literal:
																	lowerCamelCase					:			Optional[Any]									= field.type.__args__
													else:
																	lowerCamelCase					:			List[str]									= [x.value for x in field.type]

													lowerCamelCase					:			Optional[int]									= make_choice_type_function(kwargs['choices']      )

													if field.default is not dataclasses.MISSING:
																	lowerCamelCase					:			Union[str, Any]									= field.default
													else:
																	lowerCamelCase					:			Union[str, Any]									= True
									elif field.type is bool or field.type == Optional[bool]:
													# Copy the currect kwargs to use to instantiate a `no_*` complement argument below.
													# We do not initialize it here because the `no_*` alternative must be instantiated after the real argument
													lowerCamelCase					:			List[str]									= copy(A      )

													# Hack because type=bool in argparse does not behave as we want.
													lowerCamelCase					:			Any									= string_to_bool
													if field.type is bool or (field.default is not None and field.default is not dataclasses.MISSING):
																	# Default value is False if we have no default when of type bool.
																	lowerCamelCase					:			Tuple									= False if field.default is dataclasses.MISSING else field.default
																	# This is the value that will get picked if we don't include --field_name in any way
																	lowerCamelCase					:			List[Any]									= default
																	# This tells argparse we accept 0 or 1 value after --field_name
																	lowerCamelCase					:			List[str]									= '?'
																	# This is the value that will get picked if we do --field_name (without value)
																	lowerCamelCase					:			List[Any]									= True
									elif isclass(A      ) and issubclass(A,    A      ):
													lowerCamelCase					:			str									= field.type.__args__[0]
													lowerCamelCase					:			List[Any]									= '+'
													if field.default_factory is not dataclasses.MISSING:
																	lowerCamelCase					:			Optional[int]									= field.default_factory()
													elif field.default is dataclasses.MISSING:
																	lowerCamelCase					:			Any									= True
									else:
													lowerCamelCase					:			List[Any]									= field.type
													if field.default is not dataclasses.MISSING:
																	lowerCamelCase					:			Tuple									= field.default
													elif field.default_factory is not dataclasses.MISSING:
																	lowerCamelCase					:			Dict									= field.default_factory()
													else:
																	lowerCamelCase					:			Dict									= True
									parser.add_argument(A,    *A,    **A      )

									# Add a complement `no_*` argument for a boolean field AFTER the initial field has already been added.
									# Order is important for arguments with the same destination!
									# We use a copy of earlier kwargs because the original kwargs have changed a lot before reaching down
									# here and we do not need those changes/additional keys.
									if field.default is True and (field.type is bool or field.type == Optional[bool]):
													lowerCamelCase					:			str									= False
													parser.add_argument(F'''--no_{field.name}''',    action='store_false',    dest=field.name,    **A      )
					def     UpperCAmelCase_							(     self,    A      ):

									"""simple docstring"""


									if hasattr(A,    '_argument_group_name'      ):
													lowerCamelCase					:			Union[str, Any]									= self.add_argument_group(dtype._argument_group_name      )
									else:
													lowerCamelCase					:			Optional[Any]									= self

									try:
													lowerCamelCase					:			Dict[str, type]									= get_type_hints(A      )
									except NameError:
													raise RuntimeError(
													    F'''Type resolution failed for {dtype}. Try declaring the class in global scope or '''
													    'removing line of `from __future__ import annotations` which opts in Postponed '
													    'Evaluation of Annotations (PEP 563)'      )
									except TypeError as ex:
													# Remove this block when we drop Python 3.9 support
													if sys.version_info[:2] < (3, 10) and "unsupported operand type(s) for |" in str(A      ):
																	lowerCamelCase					:			List[str]									= '.'.join(map(A,    sys.version_info[:3]      )      )
																	raise RuntimeError(
																	    F'''Type resolution failed for {dtype} on Python {python_version}. Try removing '''
																	    'line of `from __future__ import annotations` which opts in union types as '
																	    '`X | Y` (PEP 604) via Postponed Evaluation of Annotations (PEP 563). To '
																	    'support Python versions that lower than 3.10, you need to use '
																	    '`typing.Union[X, Y]` instead of `X | Y` and `typing.Optional[X]` instead of '
																	    '`X | None`.'      ) from ex
													raise

									for field in dataclasses.fields(A      ):
													if not field.init:
																	continue
													lowerCamelCase					:			Dict									= type_hints[field.name]
													self._parse_dataclass_field(A,    A      )
					def     UpperCAmelCase_							(     self,    A=None,    A=False,    A=True,    A=None,    A=None,    ):

									"""simple docstring"""


									if args_file_flag or args_filename or (look_for_args_file and len(sys.argv      )):
													lowerCamelCase					:			List[str]									= []

													if args_filename:
																	args_files.append(Path(A      )      )
													elif look_for_args_file and len(sys.argv      ):
																	args_files.append(Path(sys.argv[0]      ).with_suffix('.args'      )      )

													# args files specified via command line flag should overwrite default args files so we add them last
													if args_file_flag:
																	# Create special parser just to extract the args_file_flag values
																	lowerCamelCase					:			Tuple									= ArgumentParser()
																	args_file_parser.add_argument(A,    type=A,    action='append'      )

																	# Use only remaining args for further parsing (remove the args_file_flag)
																	lowerCamelCase					:			Dict									= args_file_parser.parse_known_args(args=A      )
																	lowerCamelCase					:			Optional[int]									= vars(A      ).get(args_file_flag.lstrip('-'      ),    A      )

																	if cmd_args_file_paths:
																					args_files.extend([Path(A      ) for p in cmd_args_file_paths]      )

													lowerCamelCase					:			Tuple									= []
													for args_file in args_files:
																	if args_file.exists():
																					file_args += args_file.read_text().split()

            # in case of duplicate arguments the last one has precedence
            # args specified via the command line should overwrite args from files, so we add them last
													lowerCamelCase					:			int									= file_args + args if args is not None else file_args + sys.argv[1:]
									lowerCamelCase					:			Optional[Any]									= self.parse_known_args(args=A      )
									lowerCamelCase					:			Union[str, Any]									= []
									for dtype in self.dataclass_types:
													lowerCamelCase					:			Union[str, Any]									= {f.name for f in dataclasses.fields(A      ) if f.init}
													lowerCamelCase					:			Optional[int]									= {k: v for k, v in vars(A      ).items() if k in keys}
													for k in keys:
																	delattr(A,    A      )
													lowerCamelCase					:			Optional[int]									= dtype(**A      )
													outputs.append(A      )
									if len(namespace.__dict__      ) > 0:
													# additional namespace.
													outputs.append(A      )
									if return_remaining_strings:
													return (*outputs, remaining_args)
									else:
													if remaining_args:
																	raise ValueError(F'''Some specified arguments are not used by the HfArgumentParser: {remaining_args}'''      )

													return (*outputs,)
					def     UpperCAmelCase_							(     self,    A,    A = False      ):

									"""simple docstring"""


									lowerCamelCase					:			int									= set(args.keys()      )
									lowerCamelCase					:			List[Any]									= []
									for dtype in self.dataclass_types:
													lowerCamelCase					:			List[str]									= {f.name for f in dataclasses.fields(A      ) if f.init}
													lowerCamelCase					:			str									= {k: v for k, v in args.items() if k in keys}
													unused_keys.difference_update(inputs.keys()      )
													lowerCamelCase					:			str									= dtype(**A      )
													outputs.append(A      )
									if not allow_extra_keys and unused_keys:
													raise ValueError(F'''Some keys are not used by the HfArgumentParser: {sorted(A      )}'''      )
									return tuple(A      )
					def     UpperCAmelCase_							(     self,    A,    A = False      ):

									"""simple docstring"""


									with open(Path(A      ),    encoding='utf-8'      ) as open_json_file:
													lowerCamelCase					:			int									= json.loads(open_json_file.read()      )
									lowerCamelCase					:			List[Any]									= self.parse_dict(A,    allow_extra_keys=A      )
									return tuple(A      )




					def     UpperCAmelCase_							(     self,    A,    A = False      ):

									"""simple docstring"""


									lowerCamelCase					:			str									= self.parse_dict(yaml.safe_load(Path(A      ).read_text()      ),    allow_extra_keys=A      )
									return tuple(A      )


'''simple docstring'''






import os
import unittest

from transformers import BertTokenizerFast
from transformers.models.bert.tokenization_bert import (
    VOCAB_FILES_NAMES,
    BasicTokenizer,
    BertTokenizer,
    WordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english




@require_tokenizers
class     __snake_case		(   a__    ,   unittest.TestCase):
					_lowerCAmelCase			     =	BertTokenizer
					_lowerCAmelCase			     =	BertTokenizerFast
					_lowerCAmelCase			     =	True
					_lowerCAmelCase			     =	True
					_lowerCAmelCase			     =	filter_non_english
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									super().setUp()

									lowerCamelCase					:			str									= [
									    '[UNK]',
									    '[CLS]',
									    '[SEP]',
									    '[PAD]',
									    '[MASK]',
									    'want',
									    '##want',
									    '##ed',
									    'wa',
									    'un',
									    'runn',
									    '##ing',
									    ',',
									    'low',
									    'lowest',
									]
									lowerCamelCase					:			Any									= os.path.join(self.tmpdirname,    VOCAB_FILES_NAMES['vocab_file']      )
									with open(self.vocab_file,    'w',    encoding='utf-8'      ) as vocab_writer:
													vocab_writer.write(''.join([x + '\n' for x in vocab_tokens]      )      )
					def     UpperCAmelCase_							(     self,    A      ):

									"""simple docstring"""


									lowerCamelCase					:			str									= 'UNwant\u00E9d,running'
									lowerCamelCase					:			List[str]									= 'unwanted, running'
									return input_text, output_text
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									lowerCamelCase					:			List[str]									= self.tokenizer_class(self.vocab_file      )

									lowerCamelCase					:			List[str]									= tokenizer.tokenize('UNwant\u00E9d,running'      )
									self.assertListEqual(A,    ['un', '##want', '##ed', ',', 'runn', '##ing']      )
									self.assertListEqual(tokenizer.convert_tokens_to_ids(A      ),    [9, 6, 7, 12, 10, 11]      )
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									if not self.test_rust_tokenizer:
													return

									lowerCamelCase					:			Dict									= self.get_tokenizer()
									lowerCamelCase					:			Optional[Any]									= self.get_rust_tokenizer()

									lowerCamelCase					:			Dict									= 'UNwant\u00E9d,running'

									lowerCamelCase					:			Tuple									= tokenizer.tokenize(A      )
									lowerCamelCase					:			Optional[int]									= rust_tokenizer.tokenize(A      )
									self.assertListEqual(A,    A      )

									lowerCamelCase					:			Optional[Any]									= tokenizer.encode(A,    add_special_tokens=A      )
									lowerCamelCase					:			List[Any]									= rust_tokenizer.encode(A,    add_special_tokens=A      )
									self.assertListEqual(A,    A      )

									lowerCamelCase					:			Optional[Any]									= self.get_rust_tokenizer()
									lowerCamelCase					:			Optional[Any]									= tokenizer.encode(A      )
									lowerCamelCase					:			Tuple									= rust_tokenizer.encode(A      )
									self.assertListEqual(A,    A      )

									# With lower casing
									lowerCamelCase					:			Union[str, Any]									= self.get_tokenizer(do_lower_case=A      )
									lowerCamelCase					:			List[Any]									= self.get_rust_tokenizer(do_lower_case=A      )

									lowerCamelCase					:			Optional[int]									= 'UNwant\u00E9d,running'

									lowerCamelCase					:			Optional[Any]									= tokenizer.tokenize(A      )
									lowerCamelCase					:			str									= rust_tokenizer.tokenize(A      )
									self.assertListEqual(A,    A      )

									lowerCamelCase					:			Optional[Any]									= tokenizer.encode(A,    add_special_tokens=A      )
									lowerCamelCase					:			Union[str, Any]									= rust_tokenizer.encode(A,    add_special_tokens=A      )
									self.assertListEqual(A,    A      )

									lowerCamelCase					:			Optional[Any]									= self.get_rust_tokenizer()
									lowerCamelCase					:			Any									= tokenizer.encode(A      )
									lowerCamelCase					:			Dict									= rust_tokenizer.encode(A      )
									self.assertListEqual(A,    A      )
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									lowerCamelCase					:			Optional[Any]									= BasicTokenizer()

									self.assertListEqual(tokenizer.tokenize('ah\u535A\u63A8zz'      ),    ['ah', '\u535A', '\u63A8', 'zz']      )
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									lowerCamelCase					:			int									= BasicTokenizer(do_lower_case=A      )

									self.assertListEqual(
									    tokenizer.tokenize(' \tHeLLo!how  \n Are yoU?  '      ),    ['hello', '!', 'how', 'are', 'you', '?']      )
									self.assertListEqual(tokenizer.tokenize('H\u00E9llo'      ),    ['hello']      )
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									lowerCamelCase					:			Tuple									= BasicTokenizer(do_lower_case=A,    strip_accents=A      )

									self.assertListEqual(
									    tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '      ),    ['hällo', '!', 'how', 'are', 'you', '?']      )
									self.assertListEqual(tokenizer.tokenize('H\u00E9llo'      ),    ['h\u00E9llo']      )
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									lowerCamelCase					:			Union[str, Any]									= BasicTokenizer(do_lower_case=A,    strip_accents=A      )

									self.assertListEqual(
									    tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '      ),    ['hallo', '!', 'how', 'are', 'you', '?']      )
									self.assertListEqual(tokenizer.tokenize('H\u00E9llo'      ),    ['hello']      )
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									lowerCamelCase					:			str									= BasicTokenizer(do_lower_case=A      )

									self.assertListEqual(
									    tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '      ),    ['hallo', '!', 'how', 'are', 'you', '?']      )
									self.assertListEqual(tokenizer.tokenize('H\u00E9llo'      ),    ['hello']      )
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									lowerCamelCase					:			str									= BasicTokenizer(do_lower_case=A      )

									self.assertListEqual(
									    tokenizer.tokenize(' \tHeLLo!how  \n Are yoU?  '      ),    ['HeLLo', '!', 'how', 'Are', 'yoU', '?']      )
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									lowerCamelCase					:			int									= BasicTokenizer(do_lower_case=A,    strip_accents=A      )

									self.assertListEqual(
									    tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '      ),    ['HäLLo', '!', 'how', 'Are', 'yoU', '?']      )
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									lowerCamelCase					:			Optional[Any]									= BasicTokenizer(do_lower_case=A,    strip_accents=A      )

									self.assertListEqual(
									    tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '      ),    ['HaLLo', '!', 'how', 'Are', 'yoU', '?']      )
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									lowerCamelCase					:			Union[str, Any]									= BasicTokenizer(do_lower_case=A,    never_split=['[UNK]']      )

									self.assertListEqual(
									    tokenizer.tokenize(' \tHeLLo!how  \n Are yoU? [UNK]'      ),    ['HeLLo', '!', 'how', 'Are', 'yoU', '?', '[UNK]']      )
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									lowerCamelCase					:			List[Any]									= BasicTokenizer()
									lowerCamelCase					:			Optional[Any]									= 'a\n\'ll !!to?\'d of, can\'t.'
									lowerCamelCase					:			int									= ['a', '\'', 'll', '!', '!', 'to', '?', '\'', 'd', 'of', ',', 'can', '\'', 't', '.']
									self.assertListEqual(tokenizer.tokenize(A      ),    A      )
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									lowerCamelCase					:			Union[str, Any]									= ['[UNK]', '[CLS]', '[SEP]', 'want', '##want', '##ed', 'wa', 'un', 'runn', '##ing']

									lowerCamelCase					:			Optional[int]									= {}
									for i, token in enumerate(A      ):
													lowerCamelCase					:			int									= i
									lowerCamelCase					:			List[Any]									= WordpieceTokenizer(vocab=A,    unk_token='[UNK]'      )

									self.assertListEqual(tokenizer.tokenize(''      ),    []      )

									self.assertListEqual(tokenizer.tokenize('unwanted running'      ),    ['un', '##want', '##ed', 'runn', '##ing']      )

									self.assertListEqual(tokenizer.tokenize('unwantedX running'      ),    ['[UNK]', 'runn', '##ing']      )
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									self.assertTrue(_is_whitespace(' '      )      )
									self.assertTrue(_is_whitespace('\t'      )      )
									self.assertTrue(_is_whitespace('\r'      )      )
									self.assertTrue(_is_whitespace('\n'      )      )
									self.assertTrue(_is_whitespace('\u00A0'      )      )

									self.assertFalse(_is_whitespace('A'      )      )
									self.assertFalse(_is_whitespace('-'      )      )
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									self.assertTrue(_is_control('\u0005'      )      )

									self.assertFalse(_is_control('A'      )      )
									self.assertFalse(_is_control(' '      )      )
									self.assertFalse(_is_control('\t'      )      )
									self.assertFalse(_is_control('\r'      )      )
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									self.assertTrue(_is_punctuation('-'      )      )
									self.assertTrue(_is_punctuation('$'      )      )
									self.assertTrue(_is_punctuation('`'      )      )
									self.assertTrue(_is_punctuation('.'      )      )

									self.assertFalse(_is_punctuation('A'      )      )
									self.assertFalse(_is_punctuation(' '      )      )
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									lowerCamelCase					:			List[str]									= self.get_tokenizer()
									lowerCamelCase					:			Optional[int]									= self.get_rust_tokenizer()

									# Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
									self.assertListEqual([tokenizer.tokenize(A      ) for t in ['Test', '\xad', 'test']],    [['[UNK]'], [], ['[UNK]']]      )

									self.assertListEqual(
									    [rust_tokenizer.tokenize(A      ) for t in ['Test', '\xad', 'test']],    [['[UNK]'], [], ['[UNK]']]      )
					@slow
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									lowerCamelCase					:			List[str]									= self.tokenizer_class.from_pretrained('bert-base-uncased'      )

									lowerCamelCase					:			Any									= tokenizer.encode('sequence builders',    add_special_tokens=A      )
									lowerCamelCase					:			Tuple									= tokenizer.encode('multi-sequence build',    add_special_tokens=A      )

									lowerCamelCase					:			List[Any]									= tokenizer.build_inputs_with_special_tokens(A      )
									lowerCamelCase					:			Optional[int]									= tokenizer.build_inputs_with_special_tokens(A,    A      )

									assert encoded_sentence == [101] + text + [102]
									assert encoded_pair == [101] + text + [102] + text_a + [102]
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
													with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''      ):
																	lowerCamelCase					:			Optional[Any]									= self.rust_tokenizer_class.from_pretrained(A,    **A      )

																	lowerCamelCase					:			Optional[int]									= F'''A, naïve {tokenizer_r.mask_token} AllenNLP sentence.'''
																	lowerCamelCase					:			List[str]									= tokenizer_r.encode_plus(
																	    A,    return_attention_mask=A,    return_token_type_ids=A,    return_offsets_mapping=A,    add_special_tokens=A,    )

																	lowerCamelCase					:			int									= tokenizer_r.do_lower_case if hasattr(A,    'do_lower_case'      ) else False
																	lowerCamelCase					:			Union[str, Any]									= (
																	    [
																	        ((0, 0), tokenizer_r.cls_token),
																	        ((0, 1), 'A'),
																	        ((1, 2), ','),
																	        ((3, 5), 'na'),
																	        ((5, 6), '##ï'),
																	        ((6, 8), '##ve'),
																	        ((9, 15), tokenizer_r.mask_token),
																	        ((16, 21), 'Allen'),
																	        ((21, 23), '##NL'),
																	        ((23, 24), '##P'),
																	        ((25, 33), 'sentence'),
																	        ((33, 34), '.'),
																	        ((0, 0), tokenizer_r.sep_token),
																	    ]
																	    if not do_lower_case
																	    else [
																	        ((0, 0), tokenizer_r.cls_token),
																	        ((0, 1), 'a'),
																	        ((1, 2), ','),
																	        ((3, 8), 'naive'),
																	        ((9, 15), tokenizer_r.mask_token),
																	        ((16, 21), 'allen'),
																	        ((21, 23), '##nl'),
																	        ((23, 24), '##p'),
																	        ((25, 33), 'sentence'),
																	        ((33, 34), '.'),
																	        ((0, 0), tokenizer_r.sep_token),
																	    ]
																	)

																	self.assertEqual(
																	    [e[1] for e in expected_results],    tokenizer_r.convert_ids_to_tokens(tokens['input_ids']      )      )
																	self.assertEqual([e[0] for e in expected_results],    tokens['offset_mapping']      )




					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									lowerCamelCase					:			Optional[int]									= ['的', '人', '有']
									lowerCamelCase					:			List[str]									= ''.join(A      )
									for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
													with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''      ):
																	lowerCamelCase					:			Dict									= True
																	lowerCamelCase					:			Tuple									= self.tokenizer_class.from_pretrained(A,    **A      )
																	lowerCamelCase					:			int									= self.rust_tokenizer_class.from_pretrained(A,    **A      )

																	lowerCamelCase					:			Union[str, Any]									= tokenizer_p.encode(A,    add_special_tokens=A      )
																	lowerCamelCase					:			Dict									= tokenizer_r.encode(A,    add_special_tokens=A      )

																	lowerCamelCase					:			Optional[Any]									= tokenizer_r.convert_ids_to_tokens(A      )
																	lowerCamelCase					:			str									= tokenizer_p.convert_ids_to_tokens(A      )

																	# it is expected that each Chinese character is not preceded by "##"
																	self.assertListEqual(A,    A      )
																	self.assertListEqual(A,    A      )

																	lowerCamelCase					:			int									= False
																	lowerCamelCase					:			int									= self.rust_tokenizer_class.from_pretrained(A,    **A      )
																	lowerCamelCase					:			Tuple									= self.tokenizer_class.from_pretrained(A,    **A      )

																	lowerCamelCase					:			int									= tokenizer_r.encode(A,    add_special_tokens=A      )
																	lowerCamelCase					:			List[str]									= tokenizer_p.encode(A,    add_special_tokens=A      )

																	lowerCamelCase					:			Optional[Any]									= tokenizer_r.convert_ids_to_tokens(A      )
																	lowerCamelCase					:			Tuple									= tokenizer_p.convert_ids_to_tokens(A      )

																	# it is expected that only the first Chinese character is not preceded by "##".
																	lowerCamelCase					:			Tuple									= [
																	    F'''##{token}''' if idx != 0 else token for idx, token in enumerate(A      )
																	]
																	self.assertListEqual(A,    A      )
																	self.assertListEqual(A,    A      )
