






"""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
A_      	=     sys.version_info >= (3, 10)




def     _UpperCamelCase      (	A=None     ,							A=None      ):
   return field(default_factory=lambda: default     ,							metadata=A      )
@dataclass
class     __lowerCAmelCase :







  '''simple docstring'''


  __lowerCamelCase							:     Tuple  						=      42
  __lowerCamelCase							:     Optional[Any]  						=      42
  __lowerCamelCase							:     Optional[int]  						=      42
  __lowerCamelCase							:     Optional[int]  						=      42




@dataclass
class     __lowerCAmelCase :







  '''simple docstring'''


  __lowerCamelCase							:     int  						=      42
  __lowerCamelCase							:     List[str]  						=      field(default="toto"							, metadata={"help": "help message"}							)




@dataclass
class     __lowerCAmelCase :







  '''simple docstring'''


  __lowerCamelCase							:     Any  						=      False
  __lowerCamelCase							:     Tuple  						=      True
  __lowerCamelCase							:     int  						=      None




class     __lowerCAmelCase (      UpperCAmelCase__							):







  '''simple docstring'''


  __lowerCamelCase							:     Optional[int]  						=      "titi"
  __lowerCamelCase							:     Any  						=      "toto"




class     __lowerCAmelCase (      UpperCAmelCase__							):







  '''simple docstring'''


  __lowerCamelCase							:     Optional[int]  						=      "titi"
  __lowerCamelCase							:     str  						=      "toto"
  __lowerCamelCase							:     Optional[int]  						=      42




@dataclass
class     __lowerCAmelCase :







  '''simple docstring'''


  __lowerCamelCase							:     List[str]  						=      "toto"
  def        UpperCamelCase__ (   self:		Any       ):
     UpperCamelCase_			     =BasicEnum(self.foo       )




@dataclass
class     __lowerCAmelCase :







  '''simple docstring'''


  __lowerCamelCase							:     Tuple  						=      "toto"
  def        UpperCamelCase__ (   self:		List[str]       ):
     UpperCamelCase_			     =MixedTypeEnum(self.foo       )




@dataclass
class     __lowerCAmelCase :







  '''simple docstring'''


  __lowerCamelCase							:     int  						=      None
  __lowerCamelCase							:     Optional[int]  						=      field(default=UpperCAmelCase__							, metadata={"help": "help message"}							)
  __lowerCamelCase							:     Dict  						=      None
  __lowerCamelCase							:     List[Any]  						=      list_field(default=[]							)
  __lowerCamelCase							:     Dict  						=      list_field(default=[]							)




@dataclass
class     __lowerCAmelCase :







  '''simple docstring'''


  __lowerCamelCase							:     Optional[Any]  						=      list_field(default=[]							)
  __lowerCamelCase							:     Union[str, Any]  						=      list_field(default=[1, 2, 3]							)
  __lowerCamelCase							:     int  						=      list_field(default=["Hallo", "Bonjour", "Hello"]							)
  __lowerCamelCase							:     List[Any]  						=      list_field(default=[0.1, 0.2, 0.3]							)




@dataclass
class     __lowerCAmelCase :







  '''simple docstring'''


  __lowerCamelCase							:     Dict  						=      field()
  __lowerCamelCase							:     Union[str, Any]  						=      field()
  __lowerCamelCase							:     Union[str, Any]  						=      field()
  def        UpperCamelCase__ (   self:		Optional[Any]       ):
     UpperCamelCase_			     =BasicEnum(self.required_enum       )




@dataclass
class     __lowerCAmelCase :







  '''simple docstring'''


  __lowerCamelCase							:     Optional[int]  						=      42
  __lowerCamelCase							:     List[str]  						=      field()
  __lowerCamelCase							:     str  						=      None
  __lowerCamelCase							:     int  						=      field(default="toto"							, metadata={"help": "help message"}							)
  __lowerCamelCase							:     Union[str, Any]  						=      list_field(default=["Hallo", "Bonjour", "Hello"]							)


if is_python_no_less_than_3_10:
    @dataclass
    class     __lowerCAmelCase :







      '''simple docstring'''


      __lowerCamelCase							:     List[Any]  						=      False
      __lowerCamelCase							:     List[Any]  						=      True
      __lowerCamelCase							:     Optional[int]  						=      None




    @dataclass
    class     __lowerCAmelCase :







      '''simple docstring'''


      __lowerCamelCase							:     Dict  						=      None
      __lowerCamelCase							:     str  						=      field(default=UpperCAmelCase__							, metadata={"help": "help message"}							)
      __lowerCamelCase							:     Dict  						=      None
      __lowerCamelCase							:     Union[str, Any]  						=      list_field(default=[]							)
      __lowerCamelCase							:     Tuple  						=      list_field(default=[]							)
class     __lowerCAmelCase (      unittest.TestCase							):







  '''simple docstring'''


  def        UpperCamelCase__ (   self:		Any					,      UpperCamelCase_:		argparse.ArgumentParser					,      UpperCamelCase_:		argparse.ArgumentParser       ):
     self.assertEqual(len(a._actions       )					,      len(b._actions       )       )
     for x, y in zip(a._actions					,      b._actions       ):
        UpperCamelCase_			     ={k: v for k, v in vars(_UpperCAmelCase       ).items() if k != "container"}
        UpperCamelCase_			     ={k: v for k, v in vars(_UpperCAmelCase       ).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"					,      _UpperCAmelCase       ) and yy.get("choices"					,      _UpperCAmelCase       ):
           for expected_choice in yy["choices"] + xx["choices"]:
              self.assertEqual(xx["type"](_UpperCAmelCase       )					,      yy["type"](_UpperCAmelCase       )       )
           del xx["type"], yy["type"]

        self.assertEqual(_UpperCAmelCase					,      _UpperCAmelCase       )
  def        UpperCamelCase__ (   self:		Any       ):
     UpperCamelCase_			     =HfArgumentParser(_UpperCAmelCase       )

     UpperCamelCase_			     =argparse.ArgumentParser()
     expected.add_argument("--foo"					,      type=_UpperCAmelCase					,      required=_UpperCAmelCase       )
     expected.add_argument("--bar"					,      type=_UpperCAmelCase					,      required=_UpperCAmelCase       )
     expected.add_argument("--baz"					,      type=_UpperCAmelCase					,      required=_UpperCAmelCase       )
     expected.add_argument("--flag"					,      type=_UpperCAmelCase					,      default=_UpperCAmelCase					,      const=_UpperCAmelCase					,      nargs="?"       )
     self.argparsersEqual(_UpperCAmelCase					,      _UpperCAmelCase       )

     UpperCamelCase_			     =["--foo", "1", "--baz", "quux", "--bar", "0.5"]
     ((UpperCamelCase_      )     ,				      )			     =parser.parse_args_into_dataclasses(_UpperCAmelCase					,      look_for_args_file=_UpperCAmelCase       )
     self.assertFalse(example.flag       )
  def        UpperCamelCase__ (   self:		Optional[Any]       ):
     UpperCamelCase_			     =HfArgumentParser(_UpperCAmelCase       )

     UpperCamelCase_			     =argparse.ArgumentParser()
     expected.add_argument("--foo"					,      default=42					,      type=_UpperCAmelCase       )
     expected.add_argument("--baz"					,      default="toto"					,      type=_UpperCAmelCase					,      help="help message"       )
     self.argparsersEqual(_UpperCAmelCase					,      _UpperCAmelCase       )
  def        UpperCamelCase__ (   self:		Any       ):
     UpperCamelCase_			     =argparse.ArgumentParser()
     expected.add_argument("--foo"					,      type=_UpperCAmelCase					,      default=_UpperCAmelCase					,      const=_UpperCAmelCase					,      nargs="?"       )
     expected.add_argument("--baz"					,      type=_UpperCAmelCase					,      default=_UpperCAmelCase					,      const=_UpperCAmelCase					,      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=_UpperCAmelCase					,      dest="baz"       )
     expected.add_argument("--opt"					,      type=_UpperCAmelCase					,      default=_UpperCAmelCase       )

     UpperCamelCase_			     =[WithDefaultBoolExample]
     if is_python_no_less_than_3_10:
        dataclass_types.append(_UpperCAmelCase       )

     for dataclass_type in dataclass_types:
        UpperCamelCase_			     =HfArgumentParser(_UpperCAmelCase       )
        self.argparsersEqual(_UpperCAmelCase					,      _UpperCAmelCase       )

        UpperCamelCase_			     =parser.parse_args([]       )
        self.assertEqual(_UpperCAmelCase					,      Namespace(foo=_UpperCAmelCase					,      baz=_UpperCAmelCase					,      opt=_UpperCAmelCase       )       )

        UpperCamelCase_			     =parser.parse_args(["--foo", "--no_baz"]       )
        self.assertEqual(_UpperCAmelCase					,      Namespace(foo=_UpperCAmelCase					,      baz=_UpperCAmelCase					,      opt=_UpperCAmelCase       )       )

        UpperCamelCase_			     =parser.parse_args(["--foo", "--baz"]       )
        self.assertEqual(_UpperCAmelCase					,      Namespace(foo=_UpperCAmelCase					,      baz=_UpperCAmelCase					,      opt=_UpperCAmelCase       )       )

        UpperCamelCase_			     =parser.parse_args(["--foo", "True", "--baz", "True", "--opt", "True"]       )
        self.assertEqual(_UpperCAmelCase					,      Namespace(foo=_UpperCAmelCase					,      baz=_UpperCAmelCase					,      opt=_UpperCAmelCase       )       )

        UpperCamelCase_			     =parser.parse_args(["--foo", "False", "--baz", "False", "--opt", "False"]       )
        self.assertEqual(_UpperCAmelCase					,      Namespace(foo=_UpperCAmelCase					,      baz=_UpperCAmelCase					,      opt=_UpperCAmelCase       )       )
  def        UpperCamelCase__ (   self:		Tuple       ):
     UpperCamelCase_			     =HfArgumentParser(_UpperCAmelCase       )

     UpperCamelCase_			     =argparse.ArgumentParser()
     expected.add_argument(
         "--foo"					,      default="toto"					,      choices=["titi", "toto", 42]					,      type=make_choice_type_function(["titi", "toto", 42]       )					,      )
     self.argparsersEqual(_UpperCAmelCase					,      _UpperCAmelCase       )

     UpperCamelCase_			     =parser.parse_args([]       )
     self.assertEqual(args.foo					,      "toto"       )
     UpperCamelCase_			     =parser.parse_args_into_dataclasses([]       )[0]
     self.assertEqual(enum_ex.foo					,      MixedTypeEnum.toto       )

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

     UpperCamelCase_			     =parser.parse_args(["--foo", "42"]       )
     self.assertEqual(args.foo					,      42       )
     UpperCamelCase_			     =parser.parse_args_into_dataclasses(["--foo", "42"]       )[0]
     self.assertEqual(enum_ex.foo					,      MixedTypeEnum.fourtytwo       )
  def        UpperCamelCase__ (   self:		List[str]       ):
     @dataclass
     class     __lowerCAmelCase :







       '''simple docstring'''


       __lowerCamelCase							:     List[Any]  						=      "toto"




     UpperCamelCase_			     =HfArgumentParser(_UpperCAmelCase       )

     UpperCamelCase_			     =argparse.ArgumentParser()
     expected.add_argument(
         "--foo"					,      default="toto"					,      choices=("titi", "toto", 42)					,      type=make_choice_type_function(["titi", "toto", 42]       )					,      )
     self.argparsersEqual(_UpperCAmelCase					,      _UpperCAmelCase       )

     UpperCamelCase_			     =parser.parse_args([]       )
     self.assertEqual(args.foo					,      "toto"       )

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

     UpperCamelCase_			     =parser.parse_args(["--foo", "42"]       )
     self.assertEqual(args.foo					,      42       )
  def        UpperCamelCase__ (   self:		int       ):
     UpperCamelCase_			     =HfArgumentParser(_UpperCAmelCase       )

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

     self.argparsersEqual(_UpperCAmelCase					,      _UpperCAmelCase       )

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

     UpperCamelCase_			     =parser.parse_args("--foo_int 1 --bar_int 2 3 --foo_str a b c --foo_float 0.1 0.7".split()       )
     self.assertEqual(_UpperCAmelCase					,      Namespace(foo_int=[1]					,      bar_int=[2, 3]					,      foo_str=["a", "b", "c"]					,      foo_float=[0.1, 0.7]       )       )
  def        UpperCamelCase__ (   self:		int       ):
     UpperCamelCase_			     =argparse.ArgumentParser()
     expected.add_argument("--foo"					,      default=_UpperCAmelCase					,      type=_UpperCAmelCase       )
     expected.add_argument("--bar"					,      default=_UpperCAmelCase					,      type=_UpperCAmelCase					,      help="help message"       )
     expected.add_argument("--baz"					,      default=_UpperCAmelCase					,      type=_UpperCAmelCase       )
     expected.add_argument("--ces"					,      nargs="+"					,      default=[]					,      type=_UpperCAmelCase       )
     expected.add_argument("--des"					,      nargs="+"					,      default=[]					,      type=_UpperCAmelCase       )

     UpperCamelCase_			     =[OptionalExample]
     if is_python_no_less_than_3_10:
        dataclass_types.append(_UpperCAmelCase       )

     for dataclass_type in dataclass_types:
        UpperCamelCase_			     =HfArgumentParser(_UpperCAmelCase       )

        self.argparsersEqual(_UpperCAmelCase					,      _UpperCAmelCase       )

        UpperCamelCase_			     =parser.parse_args([]       )
        self.assertEqual(_UpperCAmelCase					,      Namespace(foo=_UpperCAmelCase					,      bar=_UpperCAmelCase					,      baz=_UpperCAmelCase					,      ces=[]					,      des=[]       )       )

        UpperCamelCase_			     =parser.parse_args("--foo 12 --bar 3.14 --baz 42 --ces a b c --des 1 2 3".split()       )
        self.assertEqual(_UpperCAmelCase					,      Namespace(foo=12					,      bar=3.14					,      baz="42"					,      ces=["a", "b", "c"]					,      des=[1, 2, 3]       )       )
  def        UpperCamelCase__ (   self:		str       ):
     UpperCamelCase_			     =HfArgumentParser(_UpperCAmelCase       )

     UpperCamelCase_			     =argparse.ArgumentParser()
     expected.add_argument("--required_list"					,      nargs="+"					,      type=_UpperCAmelCase					,      required=_UpperCAmelCase       )
     expected.add_argument("--required_str"					,      type=_UpperCAmelCase					,      required=_UpperCAmelCase       )
     expected.add_argument(
         "--required_enum"					,      type=make_choice_type_function(["titi", "toto"]       )					,      choices=["titi", "toto"]					,      required=_UpperCAmelCase					,      )
     self.argparsersEqual(_UpperCAmelCase					,      _UpperCAmelCase       )
  def        UpperCamelCase__ (   self:		Optional[int]       ):
     UpperCamelCase_			     =HfArgumentParser(_UpperCAmelCase       )

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

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

     UpperCamelCase_			     =parser.parse_dict(_UpperCAmelCase       )[0]
     UpperCamelCase_			     =BasicExample(**_UpperCAmelCase       )
     self.assertEqual(_UpperCAmelCase					,      _UpperCAmelCase       )
  def        UpperCamelCase__ (   self:		Optional[Any]       ):
     UpperCamelCase_			     =HfArgumentParser(_UpperCAmelCase       )

     UpperCamelCase_			     ={
         "foo": 12,
         "bar": 3.14,
         "baz": "42",
         "flag": True,
         "extra": 42,
     }

     self.assertRaises(_UpperCAmelCase					,      parser.parse_dict					,      _UpperCAmelCase					,      allow_extra_keys=_UpperCAmelCase       )
  def        UpperCamelCase__ (   self:		int       ):
     UpperCamelCase_			     =HfArgumentParser(_UpperCAmelCase       )

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

     UpperCamelCase_			     =BasicExample(**_UpperCAmelCase       )
     self.assertEqual(_UpperCAmelCase					,      _UpperCAmelCase       )
  def        UpperCamelCase__ (   self:		int       ):
     UpperCamelCase_			     =HfArgumentParser(_UpperCAmelCase       )

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





  def        UpperCamelCase__ (   self:		Any       ):
     UpperCamelCase_			     =HfArgumentParser(_UpperCAmelCase       )
     self.assertIsNotNone(_UpperCAmelCase       )




import unittest

from transformers import PegasusTokenizer, PegasusTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, require_torch, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


A			:						Optional[Any]        =  get_tests_dir('fixtures/test_sentencepiece_no_bos.model')



@require_sentencepiece
@require_tokenizers
class 				A       (			UpperCAmelCase__					,    unittest.TestCase				):
					'''simple docstring'''






					A__     =					PegasusTokenizer
					A__     =					PegasusTokenizerFast
					A__     =					True
					A__     =					True

					def     lowerCamelCase__	(self       :		List[Any]						)		->  Tuple:




							"""simple docstring"""


							super().setUp()

							# We have a SentencePiece fixture for testing
							lowercase__	     =						PegasusTokenizer(_UpperCAmelCase						)
							tokenizer.save_pretrained(self.tmpdirname						)

					@cached_property
					def     lowerCamelCase__	(self       :		Tuple						)		->  Any:




							"""simple docstring"""


							return PegasusTokenizer.from_pretrained("""google/pegasus-large"""						)

					def     lowerCamelCase__	(self       :		Tuple ,   **_UpperCAmelCase       :		int						)		->  PegasusTokenizer:




							"""simple docstring"""


							return PegasusTokenizer.from_pretrained(self.tmpdirname ,   **_UpperCAmelCase						)

					def     lowerCamelCase__	(self       :		Optional[int] ,   _UpperCAmelCase       :		Any						)		->  List[str]:




							"""simple docstring"""


							return ("This is a test", "This is a test")

					def     lowerCamelCase__	(self       :		Dict						)		->  Optional[int]:




							"""simple docstring"""


							lowercase__	     =						"""</s>"""
							lowercase__	     =						1

							self.assertEqual(self.get_tokenizer()._convert_token_to_id(_UpperCAmelCase						) ,   _UpperCAmelCase						)
							self.assertEqual(self.get_tokenizer()._convert_id_to_token(_UpperCAmelCase						) ,   _UpperCAmelCase						)

					def     lowerCamelCase__	(self       :		Optional[int]						)		->  str:




							"""simple docstring"""


							lowercase__	     =						list(self.get_tokenizer().get_vocab().keys()						)

							self.assertEqual(vocab_keys[0] ,   """<pad>"""						)
							self.assertEqual(vocab_keys[1] ,   """</s>"""						)
							self.assertEqual(vocab_keys[-1] ,   """v"""						)
							self.assertEqual(len(_UpperCAmelCase						) ,   1103						)

					def     lowerCamelCase__	(self       :		str						)		->  Dict:




							"""simple docstring"""


							self.assertEqual(self.get_tokenizer().vocab_size ,   1103						)

					def     lowerCamelCase__	(self       :		Any						)		->  Optional[int]:




							"""simple docstring"""


							lowercase__	     =						self.rust_tokenizer_class.from_pretrained(self.tmpdirname						)
							lowercase__	     =						self.tokenizer_class.from_pretrained(self.tmpdirname						)
							lowercase__	     =						(
							    """Let's see which <unk> is the better <unk_token_11> one <mask_1> It seems like this <mask_2> was important"""
							    """ </s> <pad> <pad> <pad>"""
							)
							lowercase__	     =						rust_tokenizer([raw_input_str] ,   return_tensors=_UpperCAmelCase ,   add_special_tokens=_UpperCAmelCase						).input_ids[0]
							lowercase__	     =						py_tokenizer([raw_input_str] ,   return_tensors=_UpperCAmelCase ,   add_special_tokens=_UpperCAmelCase						).input_ids[0]
							self.assertListEqual(_UpperCAmelCase ,   _UpperCAmelCase						)

					def     lowerCamelCase__	(self       :		int						)		->  Optional[int]:




							"""simple docstring"""


							lowercase__	     =						self._large_tokenizer
							# <mask_1> masks whole sentence while <mask_2> masks single word
							lowercase__	     =						"""<mask_1> To ensure a <mask_2> flow of bank resolutions."""
							lowercase__	     =						[2, 413, 615, 114, 3, 1971, 113, 1679, 1_0710, 107, 1]
							lowercase__	     =						tokenizer([raw_input_str] ,   return_tensors=_UpperCAmelCase						).input_ids[0]
							self.assertListEqual(_UpperCAmelCase ,   _UpperCAmelCase						)

					def     lowerCamelCase__	(self       :		Optional[Any]						)		->  int:




							"""simple docstring"""


							lowercase__	     =						self._large_tokenizer
							# The tracebacks for the following asserts are **better** without messages or self.assertEqual
							assert tokenizer.vocab_size == 9_6103
							assert tokenizer.pad_token_id == 0
							assert tokenizer.eos_token_id == 1
							assert tokenizer.offset == 103
							assert tokenizer.unk_token_id == tokenizer.offset + 2 == 105
							assert tokenizer.unk_token == "<unk>"
							assert tokenizer.model_max_length == 1024
							lowercase__	     =						"""To ensure a smooth flow of bank resolutions."""
							lowercase__	     =						[413, 615, 114, 2291, 1971, 113, 1679, 1_0710, 107, 1]
							lowercase__	     =						tokenizer([raw_input_str] ,   return_tensors=_UpperCAmelCase						).input_ids[0]
							self.assertListEqual(_UpperCAmelCase ,   _UpperCAmelCase						)
							assert tokenizer.convert_ids_to_tokens([0, 1, 2, 3]						) == ["<pad>", "</s>", "<mask_1>", "<mask_2>"]

					@require_torch
					def     lowerCamelCase__	(self       :		Union[str, Any]						)		->  Union[str, Any]:




							"""simple docstring"""


							lowercase__	     =						["""This is going to be way too long.""" * 150, """short example"""]
							lowercase__	     =						["""not super long but more than 5 tokens""", """tiny"""]
							lowercase__	     =						self._large_tokenizer(_UpperCAmelCase ,   padding=_UpperCAmelCase ,   truncation=_UpperCAmelCase ,   return_tensors="""pt"""						)
							lowercase__	     =						self._large_tokenizer(
							    text_target=_UpperCAmelCase ,   max_length=5 ,   padding=_UpperCAmelCase ,   truncation=_UpperCAmelCase ,   return_tensors="""pt"""						)

							assert batch.input_ids.shape == (2, 1024)
							assert batch.attention_mask.shape == (2, 1024)
							assert targets["input_ids"].shape == (2, 5)
							assert len(_UpperCAmelCase						) == 2  # input_ids, attention_mask.


					@slow
					def     lowerCamelCase__	(self       :		List[Any]						)		->  List[Any]:




							"""simple docstring"""


							lowercase__	     =						{"""input_ids""": [[3_8979, 143, 1_8485, 606, 130, 2_6669, 8_7686, 121, 5_4189, 1129, 111, 2_6669, 8_7686, 121, 9114, 1_4787, 121, 1_3249, 158, 592, 956, 121, 1_4621, 3_1576, 143, 6_2613, 108, 9688, 930, 4_3430, 1_1562, 6_2613, 304, 108, 1_1443, 897, 108, 9314, 1_7415, 6_3399, 108, 1_1443, 7614, 1_8316, 118, 4284, 7148, 1_2430, 143, 1400, 2_5703, 158, 111, 4284, 7148, 1_1772, 143, 2_1297, 1064, 158, 122, 204, 3506, 1754, 1133, 1_4787, 1581, 115, 3_3224, 4482, 111, 1355, 110, 2_9173, 317, 5_0833, 108, 2_0147, 9_4665, 111, 7_7198, 107, 1], [110, 6_2613, 117, 638, 112, 1133, 121, 2_0098, 1355, 7_9050, 1_3872, 135, 1596, 5_3541, 1352, 141, 1_3039, 5542, 124, 302, 518, 111, 268, 2956, 115, 149, 4427, 107, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [139, 1235, 2799, 1_8289, 1_7780, 204, 109, 9474, 1296, 107, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], """attention_mask""": [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
							# fmt: on

							self.tokenizer_integration_test_util(
							    expected_encoding=_UpperCAmelCase ,   model_name="""google/bigbird-pegasus-large-arxiv""" ,   revision="""ba85d0851d708441f91440d509690f1ab6353415""" ,   )






@require_sentencepiece
@require_tokenizers
class 				A       (			UpperCAmelCase__					,    unittest.TestCase				):
					'''simple docstring'''






					A__     =					PegasusTokenizer
					A__     =					PegasusTokenizerFast
					A__     =					True
					A__     =					True

					def     lowerCamelCase__	(self       :		Any						)		->  int:




							"""simple docstring"""


							super().setUp()

							# We have a SentencePiece fixture for testing
							lowercase__	     =						PegasusTokenizer(_UpperCAmelCase ,   offset=0 ,   mask_token_sent=_UpperCAmelCase ,   mask_token="""[MASK]"""						)
							tokenizer.save_pretrained(self.tmpdirname						)

					@cached_property
					def     lowerCamelCase__	(self       :		Any						)		->  str:




							"""simple docstring"""


							return PegasusTokenizer.from_pretrained("""google/bigbird-pegasus-large-arxiv"""						)

					def     lowerCamelCase__	(self       :		str ,   **_UpperCAmelCase       :		Union[str, Any]						)		->  PegasusTokenizer:




							"""simple docstring"""


							return PegasusTokenizer.from_pretrained(self.tmpdirname ,   **_UpperCAmelCase						)

					def     lowerCamelCase__	(self       :		Tuple ,   _UpperCAmelCase       :		Any						)		->  Union[str, Any]:




							"""simple docstring"""


							return ("This is a test", "This is a test")

					def     lowerCamelCase__	(self       :		Any						)		->  int:




							"""simple docstring"""


							lowercase__	     =						self.rust_tokenizer_class.from_pretrained(self.tmpdirname						)
							lowercase__	     =						self.tokenizer_class.from_pretrained(self.tmpdirname						)
							lowercase__	     =						(
							    """Let's see which <unk> is the better <unk_token> one [MASK] It seems like this [MASK] was important </s>"""
							    """ <pad> <pad> <pad>"""
							)
							lowercase__	     =						rust_tokenizer([raw_input_str] ,   return_tensors=_UpperCAmelCase ,   add_special_tokens=_UpperCAmelCase						).input_ids[0]
							lowercase__	     =						py_tokenizer([raw_input_str] ,   return_tensors=_UpperCAmelCase ,   add_special_tokens=_UpperCAmelCase						).input_ids[0]
							self.assertListEqual(_UpperCAmelCase ,   _UpperCAmelCase						)

					@require_torch
					def     lowerCamelCase__	(self       :		List[str]						)		->  Optional[int]:




							"""simple docstring"""


							lowercase__	     =						["""This is going to be way too long.""" * 1000, """short example"""]
							lowercase__	     =						["""not super long but more than 5 tokens""", """tiny"""]
							lowercase__	     =						self._large_tokenizer(_UpperCAmelCase ,   padding=_UpperCAmelCase ,   truncation=_UpperCAmelCase ,   return_tensors="""pt"""						)
							lowercase__	     =						self._large_tokenizer(
							    text_target=_UpperCAmelCase ,   max_length=5 ,   padding=_UpperCAmelCase ,   truncation=_UpperCAmelCase ,   return_tensors="""pt"""						)

							assert batch.input_ids.shape == (2, 4096)
							assert batch.attention_mask.shape == (2, 4096)
							assert targets["input_ids"].shape == (2, 5)
							assert len(_UpperCAmelCase						) == 2  # input_ids, attention_mask.


					def     lowerCamelCase__	(self       :		Optional[int]						)		->  Any:




							"""simple docstring"""


							lowercase__	     =						(
							    """This is an example string that is used to test the original TF implementation against the HF"""
							    """ implementation"""
							)

							lowercase__	     =						self._large_tokenizer(_UpperCAmelCase						).input_ids

							self.assertListEqual(
							    _UpperCAmelCase ,   [182, 117, 142, 587, 4211, 120, 117, 263, 112, 804, 109, 856, 2_5016, 3137, 464, 109, 2_6955, 3137, 1] ,   )

