






'''simple docstring'''

import argparse
import json
import os
import sys
import tempfile
import unittest
from argparse import Namespace
from dataclasses import dataclass, field
from enum import Enum
from pathlib import Path
from typing import List, Literal, Optional

import yaml

from transformers import HfArgumentParser, TrainingArguments
from transformers.hf_argparser import make_choice_type_function, string_to_bool


# Since Python 3.10, we can use the builtin `|` operator for Union types
# See PEP 604: https://peps.python.org/pep-0604
UpperCAmelCase__						:Tuple          =			sys.version_info >= (3, 10)
def     __lowercase  (_lowercase=None,						_lowercase=None     )   ->     Tuple:


     """simple docstring"""
     return field(default_factory=lambda: default,						metadata=_lowercase     )







@dataclass
class 	SCREAMING_SNAKE_CASE	:
       snake_case__    :     int
       snake_case__    :     float
       snake_case__    :     str
       snake_case__    :     bool







@dataclass
class 	SCREAMING_SNAKE_CASE	:
       snake_case__    :     int   		=			4_2
       snake_case__    :     str   		=			field(default='toto'    ,   metadata={'help': 'help message'}  )







@dataclass
class 	SCREAMING_SNAKE_CASE	:
       snake_case__    :     bool   		=			False
       snake_case__    :     bool   		=			True
       snake_case__    :     Optional[bool]   		=			None







class 	SCREAMING_SNAKE_CASE	(      lowerCAmelCase_  ):
       snake_case__    :     Any   		=			'titi'
       snake_case__    :     List[str]   		=			'toto'







class 	SCREAMING_SNAKE_CASE	(      lowerCAmelCase_  ):
       snake_case__    :     int   		=			'titi'
       snake_case__    :     str   		=			'toto'
       snake_case__    :     int   		=			4_2







@dataclass
class 	SCREAMING_SNAKE_CASE	:
       snake_case__    :     BasicEnum   		=			"toto"




       def 					a_					(					self      : List[Any]					):


            """simple docstring"""







            __lowerCamelCase						:       Optional[int]				   =				BasicEnum(self.foo					)







@dataclass
class 	SCREAMING_SNAKE_CASE	:
       snake_case__    :     MixedTypeEnum   		=			"toto"




       def 					a_					(					self      : Optional[Any]					):


            """simple docstring"""







            __lowerCamelCase						:       Optional[Any]				   =				MixedTypeEnum(self.foo					)







@dataclass
class 	SCREAMING_SNAKE_CASE	:
       snake_case__    :     Optional[int]   		=			None
       snake_case__    :     Optional[float]   		=			field(default=lowerCAmelCase_    ,   metadata={'help': 'help message'}  )
       snake_case__    :     Optional[str]   		=			None
       snake_case__    :     Optional[List[str]]   		=			list_field(default=[]  )
       snake_case__    :     Optional[List[int]]   		=			list_field(default=[]  )







@dataclass
class 	SCREAMING_SNAKE_CASE	:
       snake_case__    :     List[int]   		=			list_field(default=[]  )
       snake_case__    :     List[int]   		=			list_field(default=[1, 2, 3]  )
       snake_case__    :     List[str]   		=			list_field(default=['Hallo', 'Bonjour', 'Hello']  )
       snake_case__    :     List[float]   		=			list_field(default=[0.1, 0.2, 0.3]  )







@dataclass
class 	SCREAMING_SNAKE_CASE	:
       snake_case__    :     List[int]   		=			field()
       snake_case__    :     str   		=			field()
       snake_case__    :     BasicEnum   		=			field()




       def 					a_					(					self      : Dict					):


            """simple docstring"""







            __lowerCamelCase						:       Tuple				   =				BasicEnum(self.required_enum					)







@dataclass
class 	SCREAMING_SNAKE_CASE	:
       snake_case__    :     int
       snake_case__    :     "BasicEnum"   		=			field()
       snake_case__    :     "Optional[bool]"   		=			None
       snake_case__    :     "str"   		=			field(default='toto'    ,   metadata={'help': 'help message'}  )
       snake_case__    :     "List[str]"   		=			list_field(default=['Hallo', 'Bonjour', 'Hello']  )


if is_python_no_less_than_3_10:







   @dataclass
   class 	SCREAMING_SNAKE_CASE	:
          snake_case__    :     bool   		=			False
          snake_case__    :     bool   		=			True
          snake_case__    :     bool | None   		=			None







   @dataclass
   class 	SCREAMING_SNAKE_CASE	:
          snake_case__    :     int | None   		=			None
          snake_case__    :     float | None   		=			field(default=lowerCAmelCase_    ,   metadata={'help': 'help message'}  )
          snake_case__    :     str | None   		=			None
          snake_case__    :     list[str] | None   		=			list_field(default=[]  )
          snake_case__    :     list[int] | None   		=			list_field(default=[]  )







class 	SCREAMING_SNAKE_CASE	(      unittest.TestCase  ):




       def 					a_					(					self      : int	,    A__      : argparse.ArgumentParser	,    A__      : argparse.ArgumentParser					):


            """simple docstring"""







            self.assertEqual(len(a._actions					)	,    len(b._actions					)					)
            for x, y in zip(a._actions	,    b._actions					):
                 __lowerCamelCase						:       Optional[Any]				   =				{k: v for k, v in vars(A__					).items() if k != """container"""}
                 __lowerCamelCase						:       Union[str, Any]				   =				{k: v for k, v in vars(A__					).items() if k != """container"""}

                 # Choices with mixed type have custom function as "type"
                 # So we need to compare results directly for equality
                 if xx.get("""choices"""	,    A__					) and yy.get("""choices"""	,    A__					):
                      for expected_choice in yy["choices"] + xx["choices"]:
                           self.assertEqual(xx["""type"""](A__					)	,    yy["""type"""](A__					)					)
                      del xx["type"], yy["type"]

                 self.assertEqual(A__	,    A__					)




       def 					a_					(					self      : str					):


            """simple docstring"""







            __lowerCamelCase						:       Any				   =				HfArgumentParser(A__					)

            __lowerCamelCase						:       List[Any]				   =				argparse.ArgumentParser()
            expected.add_argument("""--foo"""	,    type=A__	,    required=A__					)
            expected.add_argument("""--bar"""	,    type=A__	,    required=A__					)
            expected.add_argument("""--baz"""	,    type=A__	,    required=A__					)
            expected.add_argument("""--flag"""	,    type=A__	,    default=A__	,    const=A__	,    nargs="""?"""					)
            self.argparsersEqual(A__	,    A__					)

            __lowerCamelCase						:       Union[str, Any]				   =				["""--foo""", """1""", """--baz""", """quux""", """--bar""", """0.5"""]
            ((__lowerCamelCase)   ,      )						:       Union[str, Any]				   =				parser.parse_args_into_dataclasses(A__	,    look_for_args_file=A__					)
            self.assertFalse(example.flag					)




       def 					a_					(					self      : Optional[int]					):


            """simple docstring"""







            __lowerCamelCase						:       Union[str, Any]				   =				HfArgumentParser(A__					)

            __lowerCamelCase						:       str				   =				argparse.ArgumentParser()
            expected.add_argument("""--foo"""	,    default=42	,    type=A__					)
            expected.add_argument("""--baz"""	,    default="""toto"""	,    type=A__	,    help="""help message"""					)
            self.argparsersEqual(A__	,    A__					)




       def 					a_					(					self      : Optional[int]					):


            """simple docstring"""







            __lowerCamelCase						:       int				   =				argparse.ArgumentParser()
            expected.add_argument("""--foo"""	,    type=A__	,    default=A__	,    const=A__	,    nargs="""?"""					)
            expected.add_argument("""--baz"""	,    type=A__	,    default=A__	,    const=A__	,    nargs="""?"""					)
            # A boolean no_* argument always has to come after its "default: True" regular counter-part
            # and its default must be set to False
            expected.add_argument("""--no_baz"""	,    action="""store_false"""	,    default=A__	,    dest="""baz"""					)
            expected.add_argument("""--opt"""	,    type=A__	,    default=A__					)

            __lowerCamelCase						:       Dict				   =				[WithDefaultBoolExample]
            if is_python_no_less_than_3_10:
                 dataclass_types.append(A__					)

            for dataclass_type in dataclass_types:
                 __lowerCamelCase						:       Optional[int]				   =				HfArgumentParser(A__					)
                 self.argparsersEqual(A__	,    A__					)

                 __lowerCamelCase						:       str				   =				parser.parse_args([]					)
                 self.assertEqual(A__	,    Namespace(foo=A__	,    baz=A__	,    opt=A__					)					)

                 __lowerCamelCase						:       str				   =				parser.parse_args(["""--foo""", """--no_baz"""]					)
                 self.assertEqual(A__	,    Namespace(foo=A__	,    baz=A__	,    opt=A__					)					)

                 __lowerCamelCase						:       Tuple				   =				parser.parse_args(["""--foo""", """--baz"""]					)
                 self.assertEqual(A__	,    Namespace(foo=A__	,    baz=A__	,    opt=A__					)					)

                 __lowerCamelCase						:       List[Any]				   =				parser.parse_args(["""--foo""", """True""", """--baz""", """True""", """--opt""", """True"""]					)
                 self.assertEqual(A__	,    Namespace(foo=A__	,    baz=A__	,    opt=A__					)					)

                 __lowerCamelCase						:       List[Any]				   =				parser.parse_args(["""--foo""", """False""", """--baz""", """False""", """--opt""", """False"""]					)
                 self.assertEqual(A__	,    Namespace(foo=A__	,    baz=A__	,    opt=A__					)					)




       def 					a_					(					self      : int					):


            """simple docstring"""







            __lowerCamelCase						:       Dict				   =				HfArgumentParser(A__					)

            __lowerCamelCase						:       Union[str, Any]				   =				argparse.ArgumentParser()
            expected.add_argument(
                """--foo"""	,    default="""toto"""	,    choices=["""titi""", """toto""", 42]	,    type=make_choice_type_function(["""titi""", """toto""", 42]					)	,    )
            self.argparsersEqual(A__	,    A__					)

            __lowerCamelCase						:       Optional[int]				   =				parser.parse_args([]					)
            self.assertEqual(args.foo	,    """toto"""					)
            __lowerCamelCase						:       str				   =				parser.parse_args_into_dataclasses([]					)[0]
            self.assertEqual(enum_ex.foo	,    MixedTypeEnum.toto					)

            __lowerCamelCase						:       Tuple				   =				parser.parse_args(["""--foo""", """titi"""]					)
            self.assertEqual(args.foo	,    """titi"""					)
            __lowerCamelCase						:       int				   =				parser.parse_args_into_dataclasses(["""--foo""", """titi"""]					)[0]
            self.assertEqual(enum_ex.foo	,    MixedTypeEnum.titi					)

            __lowerCamelCase						:       List[Any]				   =				parser.parse_args(["""--foo""", """42"""]					)
            self.assertEqual(args.foo	,    42					)
            __lowerCamelCase						:       Optional[Any]				   =				parser.parse_args_into_dataclasses(["""--foo""", """42"""]					)[0]
            self.assertEqual(enum_ex.foo	,    MixedTypeEnum.fourtytwo					)




       def 					a_					(					self      : Any					):


            """simple docstring"""







            @dataclass
            class 	SCREAMING_SNAKE_CASE	:
                   snake_case__    :     Literal["titi", "toto", 4_2]   		=			"toto"

            __lowerCamelCase						:       int				   =				HfArgumentParser(A__					)

            __lowerCamelCase						:       Tuple				   =				argparse.ArgumentParser()
            expected.add_argument(
                """--foo"""	,    default="""toto"""	,    choices=("""titi""", """toto""", 42)	,    type=make_choice_type_function(["""titi""", """toto""", 42]					)	,    )
            self.argparsersEqual(A__	,    A__					)

            __lowerCamelCase						:       str				   =				parser.parse_args([]					)
            self.assertEqual(args.foo	,    """toto"""					)

            __lowerCamelCase						:       Tuple				   =				parser.parse_args(["""--foo""", """titi"""]					)
            self.assertEqual(args.foo	,    """titi"""					)

            __lowerCamelCase						:       List[str]				   =				parser.parse_args(["""--foo""", """42"""]					)
            self.assertEqual(args.foo	,    42					)




       def 					a_					(					self      : Optional[Any]					):


            """simple docstring"""







            __lowerCamelCase						:       Union[str, Any]				   =				HfArgumentParser(A__					)

            __lowerCamelCase						:       Any				   =				argparse.ArgumentParser()
            expected.add_argument("""--foo_int"""	,    nargs="""+"""	,    default=[]	,    type=A__					)
            expected.add_argument("""--bar_int"""	,    nargs="""+"""	,    default=[1, 2, 3]	,    type=A__					)
            expected.add_argument("""--foo_str"""	,    nargs="""+"""	,    default=["""Hallo""", """Bonjour""", """Hello"""]	,    type=A__					)
            expected.add_argument("""--foo_float"""	,    nargs="""+"""	,    default=[0.1, 0.2, 0.3]	,    type=A__					)

            self.argparsersEqual(A__	,    A__					)

            __lowerCamelCase						:       Any				   =				parser.parse_args([]					)
            self.assertEqual(
                A__	,    Namespace(foo_int=[]	,    bar_int=[1, 2, 3]	,    foo_str=["""Hallo""", """Bonjour""", """Hello"""]	,    foo_float=[0.1, 0.2, 0.3]					)	,    )

            __lowerCamelCase						:       Dict				   =				parser.parse_args("""--foo_int 1 --bar_int 2 3 --foo_str a b c --foo_float 0.1 0.7""".split()					)
            self.assertEqual(A__	,    Namespace(foo_int=[1]	,    bar_int=[2, 3]	,    foo_str=["""a""", """b""", """c"""]	,    foo_float=[0.1, 0.7]					)					)




       def 					a_					(					self      : str					):


            """simple docstring"""







            __lowerCamelCase						:       List[str]				   =				argparse.ArgumentParser()
            expected.add_argument("""--foo"""	,    default=A__	,    type=A__					)
            expected.add_argument("""--bar"""	,    default=A__	,    type=A__	,    help="""help message"""					)
            expected.add_argument("""--baz"""	,    default=A__	,    type=A__					)
            expected.add_argument("""--ces"""	,    nargs="""+"""	,    default=[]	,    type=A__					)
            expected.add_argument("""--des"""	,    nargs="""+"""	,    default=[]	,    type=A__					)

            __lowerCamelCase						:       Union[str, Any]				   =				[OptionalExample]
            if is_python_no_less_than_3_10:
                 dataclass_types.append(A__					)

            for dataclass_type in dataclass_types:
                 __lowerCamelCase						:       Optional[Any]				   =				HfArgumentParser(A__					)

                 self.argparsersEqual(A__	,    A__					)

                 __lowerCamelCase						:       Optional[int]				   =				parser.parse_args([]					)
                 self.assertEqual(A__	,    Namespace(foo=A__	,    bar=A__	,    baz=A__	,    ces=[]	,    des=[]					)					)

                 __lowerCamelCase						:       Union[str, Any]				   =				parser.parse_args("""--foo 12 --bar 3.14 --baz 42 --ces a b c --des 1 2 3""".split()					)
                 self.assertEqual(A__	,    Namespace(foo=12	,    bar=3.14	,    baz="""42"""	,    ces=["""a""", """b""", """c"""]	,    des=[1, 2, 3]					)					)




       def 					a_					(					self      : str					):


            """simple docstring"""







            __lowerCamelCase						:       Any				   =				HfArgumentParser(A__					)

            __lowerCamelCase						:       Any				   =				argparse.ArgumentParser()
            expected.add_argument("""--required_list"""	,    nargs="""+"""	,    type=A__	,    required=A__					)
            expected.add_argument("""--required_str"""	,    type=A__	,    required=A__					)
            expected.add_argument(
                """--required_enum"""	,    type=make_choice_type_function(["""titi""", """toto"""]					)	,    choices=["""titi""", """toto"""]	,    required=A__	,    )
            self.argparsersEqual(A__	,    A__					)




       def 					a_					(					self      : Any					):


            """simple docstring"""







            __lowerCamelCase						:       List[Any]				   =				HfArgumentParser(A__					)

            __lowerCamelCase						:       Any				   =				argparse.ArgumentParser()
            expected.add_argument("""--foo"""	,    type=A__	,    required=A__					)
            expected.add_argument(
                """--required_enum"""	,    type=make_choice_type_function(["""titi""", """toto"""]					)	,    choices=["""titi""", """toto"""]	,    required=A__	,    )
            expected.add_argument("""--opt"""	,    type=A__	,    default=A__					)
            expected.add_argument("""--baz"""	,    default="""toto"""	,    type=A__	,    help="""help message"""					)
            expected.add_argument("""--foo_str"""	,    nargs="""+"""	,    default=["""Hallo""", """Bonjour""", """Hello"""]	,    type=A__					)
            self.argparsersEqual(A__	,    A__					)




       def 					a_					(					self      : int					):


            """simple docstring"""







            __lowerCamelCase						:       List[Any]				   =				HfArgumentParser(A__					)

            __lowerCamelCase						:       Dict				   =				{
                """foo""": 12,
                """bar""": 3.14,
                """baz""": """42""",
                """flag""": True,
            }

            __lowerCamelCase						:       Tuple				   =				parser.parse_dict(A__					)[0]
            __lowerCamelCase						:       Optional[int]				   =				BasicExample(**A__					)
            self.assertEqual(A__	,    A__					)




       def 					a_					(					self      : str					):


            """simple docstring"""







            __lowerCamelCase						:       Union[str, Any]				   =				HfArgumentParser(A__					)

            __lowerCamelCase						:       List[str]				   =				{
                """foo""": 12,
                """bar""": 3.14,
                """baz""": """42""",
                """flag""": True,
                """extra""": 42,
            }

            self.assertRaises(A__	,    parser.parse_dict	,    A__	,    allow_extra_keys=A__					)




       def 					a_					(					self      : Optional[int]					):


            """simple docstring"""







            __lowerCamelCase						:       Tuple				   =				HfArgumentParser(A__					)

            __lowerCamelCase						:       List[str]				   =				{
                """foo""": 12,
                """bar""": 3.14,
                """baz""": """42""",
                """flag""": True,
            }
            with tempfile.TemporaryDirectory() as tmp_dir:
                 __lowerCamelCase						:       List[Any]				   =				os.path.join(A__	,    """temp_json"""					)
                 os.mkdir(A__					)
                 with open(temp_local_path + """.json"""	,    """w+"""					) as f:
                      json.dump(A__	,    A__					)
                 __lowerCamelCase						:       List[Any]				   =				parser.parse_yaml_file(Path(temp_local_path + """.json"""					)					)[0]

            __lowerCamelCase						:       Tuple				   =				BasicExample(**A__					)
            self.assertEqual(A__	,    A__					)




       def 					a_					(					self      : Optional[Any]					):


            """simple docstring"""







            __lowerCamelCase						:       str				   =				HfArgumentParser(A__					)

            __lowerCamelCase						:       Any				   =				{
                """foo""": 12,
                """bar""": 3.14,
                """baz""": """42""",
                """flag""": True,
            }
            with tempfile.TemporaryDirectory() as tmp_dir:
                 __lowerCamelCase						:       Union[str, Any]				   =				os.path.join(A__	,    """temp_yaml"""					)
                 os.mkdir(A__					)
                 with open(temp_local_path + """.yaml"""	,    """w+"""					) as f:
                      yaml.dump(A__	,    A__					)
                 __lowerCamelCase						:       Optional[Any]				   =				parser.parse_yaml_file(Path(temp_local_path + """.yaml"""					)					)[0]
            __lowerCamelCase						:       Optional[int]				   =				BasicExample(**A__					)
            self.assertEqual(A__	,    A__					)




       def 					a_					(					self      : int					):


            """simple docstring"""







            __lowerCamelCase						:       List[Any]				   =				HfArgumentParser(A__					)
            self.assertIsNotNone(A__					)











'''simple docstring'''

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 	SCREAMING_SNAKE_CASE	(      lowerCAmelCase_    ,   unittest.TestCase  ):
       snake_case__    :     str   		=			RobertaTokenizer
       snake_case__    :     Optional[int]   		=			RobertaTokenizerFast
       snake_case__    :     Union[str, Any]   		=			True
       snake_case__    :     Tuple   		=			{'cls_token': '<s>'}




       def 					a_					(					self      : Union[str, Any]					):


            """simple docstring"""







            super().setUp()

            # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
            __lowerCamelCase						:       Tuple				   =				[
                """l""",
                """o""",
                """w""",
                """e""",
                """r""",
                """s""",
                """t""",
                """i""",
                """d""",
                """n""",
                """\u0120""",
                """\u0120l""",
                """\u0120n""",
                """\u0120lo""",
                """\u0120low""",
                """er""",
                """\u0120lowest""",
                """\u0120newer""",
                """\u0120wider""",
                """<unk>""",
            ]
            __lowerCamelCase						:       Tuple				   =				dict(zip(A__	,    range(len(A__					)					)					)					)
            __lowerCamelCase						:       List[str]				   =				["""#version: 0.2""", """\u0120 l""", """\u0120l o""", """\u0120lo w""", """e r""", """"""]
            __lowerCamelCase						:       Tuple				   =				{"""unk_token""": """<unk>"""}

            __lowerCamelCase						:       Optional[int]				   =				os.path.join(self.tmpdirname	,    VOCAB_FILES_NAMES["""vocab_file"""]					)
            __lowerCamelCase						:       Union[str, Any]				   =				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(A__					) + """\n"""					)
            with open(self.merges_file	,    """w"""	,    encoding="""utf-8"""					) as fp:
                 fp.write("""\n""".join(A__					)					)




       def 					a_					(					self      : Tuple	,    **A__      : Dict					):


            """simple docstring"""







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




       def 					a_					(					self      : str	,    **A__      : List[Any]					):


            """simple docstring"""







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




       def 					a_					(					self      : Tuple	,    A__      : Any					):


            """simple docstring"""







            __lowerCamelCase						:       int				   =				"""lower newer"""
            __lowerCamelCase						:       int				   =				"""lower newer"""
            return input_text, output_text




       def 					a_					(					self      : Union[str, Any]					):


            """simple docstring"""







            __lowerCamelCase						:       List[str]				   =				self.tokenizer_class(self.vocab_file	,    self.merges_file	,    **self.special_tokens_map					)
            __lowerCamelCase						:       Any				   =				"""lower newer"""
            __lowerCamelCase						:       Union[str, Any]				   =				["""l""", """o""", """w""", """er""", """\u0120""", """n""", """e""", """w""", """er"""]
            __lowerCamelCase						:       Optional[Any]				   =				tokenizer.tokenize(A__					)  # , add_prefix_space=True)
            self.assertListEqual(A__	,    A__					)

            __lowerCamelCase						:       List[str]				   =				tokens + [tokenizer.unk_token]
            __lowerCamelCase						:       str				   =				[0, 1, 2, 15, 10, 9, 3, 2, 15, 19]
            self.assertListEqual(tokenizer.convert_tokens_to_ids(A__					)	,    A__					)




       def 					a_					(					self      : Dict					):


            """simple docstring"""







            __lowerCamelCase						:       List[Any]				   =				self.get_tokenizer()

            self.assertListEqual(tokenizer.encode("""Hello world!"""	,    add_special_tokens=A__					)	,    [0, 31414, 232, 328, 2]					)
            self.assertListEqual(
                tokenizer.encode("""Hello world! cécé herlolip 418"""	,    add_special_tokens=A__					)	,    [0, 31414, 232, 328, 740, 1140, 12695, 69, 46078, 1588, 2]	,    )




       @slow
       def 					a_					(					self      : List[str]					):


            """simple docstring"""







            __lowerCamelCase						:       Dict				   =				self.tokenizer_class.from_pretrained("""roberta-base"""					)

            __lowerCamelCase						:       Any				   =				tokenizer.encode("""sequence builders"""	,    add_special_tokens=A__					)
            __lowerCamelCase						:       Dict				   =				tokenizer.encode("""multi-sequence build"""	,    add_special_tokens=A__					)

            __lowerCamelCase						:       Dict				   =				tokenizer.encode(
                """sequence builders"""	,    add_special_tokens=A__	,    add_prefix_space=A__					)
            __lowerCamelCase						:       List[Any]				   =				tokenizer.encode(
                """sequence builders"""	,    """multi-sequence build"""	,    add_special_tokens=A__	,    add_prefix_space=A__					)

            __lowerCamelCase						:       List[str]				   =				tokenizer.build_inputs_with_special_tokens(A__					)
            __lowerCamelCase						:       Tuple				   =				tokenizer.build_inputs_with_special_tokens(A__	,    A__					)

            assert encoded_sentence == encoded_text_from_decode
            assert encoded_pair == encoded_pair_from_decode




       def 					a_					(					self      : List[str]					):


            """simple docstring"""







            __lowerCamelCase						:       Optional[Any]				   =				self.get_tokenizer()

            __lowerCamelCase						:       str				   =				"""Encode this sequence."""
            __lowerCamelCase						:       str				   =				tokenizer.byte_encoder[""" """.encode("""utf-8"""					)[0]]

            # Testing encoder arguments
            __lowerCamelCase						:       Union[str, Any]				   =				tokenizer.encode(A__	,    add_special_tokens=A__	,    add_prefix_space=A__					)
            __lowerCamelCase						:       List[str]				   =				tokenizer.convert_ids_to_tokens(encoded[0]					)[0]
            self.assertNotEqual(A__	,    A__					)

            __lowerCamelCase						:       Any				   =				tokenizer.encode(A__	,    add_special_tokens=A__	,    add_prefix_space=A__					)
            __lowerCamelCase						:       int				   =				tokenizer.convert_ids_to_tokens(encoded[0]					)[0]
            self.assertEqual(A__	,    A__					)

            tokenizer.add_special_tokens({"""bos_token""": """<s>"""}					)
            __lowerCamelCase						:       Tuple				   =				tokenizer.encode(A__	,    add_special_tokens=A__					)
            __lowerCamelCase						:       List[str]				   =				tokenizer.convert_ids_to_tokens(encoded[1]					)[0]
            self.assertNotEqual(A__	,    A__					)

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

            __lowerCamelCase						:       str				   =				"""Encode <mask> sequence"""
            __lowerCamelCase						:       Optional[int]				   =				"""Encode <mask>sequence"""

            __lowerCamelCase						:       Optional[Any]				   =				tokenizer.encode(A__					)
            __lowerCamelCase						:       str				   =				encoded.index(A__					)
            __lowerCamelCase						:       Any				   =				tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]					)[0]
            self.assertEqual(A__	,    A__					)

            __lowerCamelCase						:       Any				   =				tokenizer.encode(A__					)
            __lowerCamelCase						:       Union[str, Any]				   =				encoded.index(A__					)
            __lowerCamelCase						:       Optional[int]				   =				tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]					)[0]
            self.assertNotEqual(A__	,    A__					)




       def 					a_					(					self      : Union[str, Any]					):


            """simple docstring"""







            pass




       def 					a_					(					self      : str					):


            """simple docstring"""







            for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
                 with self.subTest(f"{tokenizer.__class__.__name__} ({pretrained_name})"					):
                      __lowerCamelCase						:       Tuple				   =				self.rust_tokenizer_class.from_pretrained(A__	,    **A__					)
                      __lowerCamelCase						:       List[Any]				   =				self.tokenizer_class.from_pretrained(A__	,    **A__					)
                      __lowerCamelCase						:       Tuple				   =				"""A, <mask> AllenNLP sentence."""
                      __lowerCamelCase						:       int				   =				tokenizer_r.encode_plus(A__	,    add_special_tokens=A__	,    return_token_type_ids=A__					)
                      __lowerCamelCase						:       List[str]				   =				tokenizer_p.encode_plus(A__	,    add_special_tokens=A__	,    return_token_type_ids=A__					)

                      # 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						:       Optional[int]				   =				tokenizer_r.convert_ids_to_tokens(tokens_r["""input_ids"""]					)
                      __lowerCamelCase						:       Any				   =				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, 250, 6, 50264, 3823, 487, 21992, 3645, 4, 2]					)
                      self.assertSequenceEqual(tokens_r["""input_ids"""]	,    [0, 250, 6, 50264, 3823, 487, 21992, 3645, 4, 2]					)

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




       def 					a_					(					self      : str					):


            """simple docstring"""







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

                 __lowerCamelCase						:       Union[str, Any]				   =				json.loads(tokenizer_r.backend_tokenizer.pre_tokenizer.__getstate__()					)
                 __lowerCamelCase						:       Dict				   =				json.loads(tokenizer_r.backend_tokenizer.post_processor.__getstate__()					)

                 self.assertEqual(pre_tokenizer_state["""add_prefix_space"""]	,    A__					)

                 self.assertEqual(post_processor_state["""add_prefix_space"""]	,    A__					)
                 self.assertEqual(post_processor_state["""trim_offsets"""]	,    A__					)




       def 					a_					(					self      : List[Any]					):


            """simple docstring"""







            for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
                 with self.subTest(f"{tokenizer.__class__.__name__} ({pretrained_name})"					):
                      __lowerCamelCase						:       Tuple				   =				"""hello"""  # `hello` is a token in the vocabulary of `pretrained_name`
                      __lowerCamelCase						:       Optional[Any]				   =				f"{text_of_1_token} {text_of_1_token}"

                      __lowerCamelCase						:       List[Any]				   =				self.rust_tokenizer_class.from_pretrained(
                          A__	,    use_fast=A__	,    add_prefix_space=A__	,    trim_offsets=A__					)
                      __lowerCamelCase						:       str				   =				tokenizer_r(A__	,    return_offsets_mapping=A__	,    add_special_tokens=A__					)
                      self.assertEqual(encoding.offset_mapping[0]	,    (0, len(A__					))					)
                      self.assertEqual(
                          encoding.offset_mapping[1]	,    (len(A__					) + 1, len(A__					) + 1 + len(A__					))	,    )

                      __lowerCamelCase						:       Tuple				   =				self.rust_tokenizer_class.from_pretrained(
                          A__	,    use_fast=A__	,    add_prefix_space=A__	,    trim_offsets=A__					)
                      __lowerCamelCase						:       List[str]				   =				tokenizer_r(A__	,    return_offsets_mapping=A__	,    add_special_tokens=A__					)
                      self.assertEqual(encoding.offset_mapping[0]	,    (0, len(A__					))					)
                      self.assertEqual(
                          encoding.offset_mapping[1]	,    (len(A__					) + 1, len(A__					) + 1 + len(A__					))	,    )

                      __lowerCamelCase						:       int				   =				self.rust_tokenizer_class.from_pretrained(
                          A__	,    use_fast=A__	,    add_prefix_space=A__	,    trim_offsets=A__					)
                      __lowerCamelCase						:       Union[str, Any]				   =				tokenizer_r(A__	,    return_offsets_mapping=A__	,    add_special_tokens=A__					)
                      self.assertEqual(encoding.offset_mapping[0]	,    (0, len(A__					))					)
                      self.assertEqual(
                          encoding.offset_mapping[1]	,    (len(A__					), len(A__					) + 1 + len(A__					))	,    )

                      __lowerCamelCase						:       Optional[int]				   =				self.rust_tokenizer_class.from_pretrained(
                          A__	,    use_fast=A__	,    add_prefix_space=A__	,    trim_offsets=A__					)
                      __lowerCamelCase						:       Tuple				   =				tokenizer_r(A__	,    return_offsets_mapping=A__	,    add_special_tokens=A__					)
                      self.assertEqual(encoding.offset_mapping[0]	,    (0, len(A__					))					)
                      self.assertEqual(
                          encoding.offset_mapping[1]	,    (len(A__					), len(A__					) + 1 + len(A__					))	,    )

                      __lowerCamelCase						:       str				   =				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						:       Tuple				   =				self.rust_tokenizer_class.from_pretrained(
                          A__	,    use_fast=A__	,    add_prefix_space=A__	,    trim_offsets=A__					)
                      __lowerCamelCase						:       Optional[int]				   =				tokenizer_r(A__	,    return_offsets_mapping=A__	,    add_special_tokens=A__					)
                      self.assertEqual(encoding.offset_mapping[0]	,    (1, 1 + len(A__					))					)
                      self.assertEqual(
                          encoding.offset_mapping[1]	,    (1 + len(A__					) + 1, 1 + len(A__					) + 1 + len(A__					))	,    )

                      __lowerCamelCase						:       Dict				   =				self.rust_tokenizer_class.from_pretrained(
                          A__	,    use_fast=A__	,    add_prefix_space=A__	,    trim_offsets=A__					)
                      __lowerCamelCase						:       Dict				   =				tokenizer_r(A__	,    return_offsets_mapping=A__	,    add_special_tokens=A__					)
                      self.assertEqual(encoding.offset_mapping[0]	,    (0, 1 + len(A__					))					)
                      self.assertEqual(
                          encoding.offset_mapping[1]	,    (1 + len(A__					), 1 + len(A__					) + 1 + len(A__					))	,    )

                      __lowerCamelCase						:       Optional[int]				   =				self.rust_tokenizer_class.from_pretrained(
                          A__	,    use_fast=A__	,    add_prefix_space=A__	,    trim_offsets=A__					)
                      __lowerCamelCase						:       Optional[int]				   =				tokenizer_r(A__	,    return_offsets_mapping=A__	,    add_special_tokens=A__					)
                      self.assertEqual(encoding.offset_mapping[0]	,    (0, 1 + len(A__					))					)
                      self.assertEqual(
                          encoding.offset_mapping[1]	,    (1 + len(A__					), 1 + len(A__					) + 1 + len(A__					))	,    )



