




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		:  Union[str, Any]	=   sys.version_info >= (3, 10)



def 					UpperCAmelCase__     (   lowerCamelCase=None,	lowerCamelCase=None      ):
  return field(default_factory=lambda: default,	metadata=__lowerCamelCase      )




@dataclass
class       __lowerCAmelCase				:
       _a           =  42
       _a           =  42
       _a           =  42
       _a           =  42







@dataclass
class       __lowerCAmelCase				:
       _a           =  42
       _a           =  field(default='''toto'''					,       metadata={'''help''': '''help message'''})







@dataclass
class       __lowerCAmelCase				:
       _a           =  False
       _a           =  True
       _a           =  None







class       __lowerCAmelCase				(							A_):
       _a           =  '''titi'''
       _a           =  '''toto'''







class       __lowerCAmelCase				(							A_):
       _a           =  '''titi'''
       _a           =  '''toto'''
       _a           =  42







@dataclass
class       __lowerCAmelCase				:
       _a           =  '''toto'''






       def     SCREAMING_SNAKE_CASE			(      self:    Union[str, Any] ):
         lowercase			:Optional[Any]							=  BasicEnum(self.foo )







@dataclass
class       __lowerCAmelCase				:
       _a           =  '''toto'''






       def     SCREAMING_SNAKE_CASE			(      self:    Optional[Any] ):
         lowercase			:Any							=  MixedTypeEnum(self.foo )







@dataclass
class       __lowerCAmelCase				:
       _a           =  None
       _a           =  field(default=A_					,       metadata={'''help''': '''help message'''})
       _a           =  None
       _a           =  list_field(default=[])
       _a           =  list_field(default=[])







@dataclass
class       __lowerCAmelCase				:
       _a           =  list_field(default=[])
       _a           =  list_field(default=[1, 2, 3])
       _a           =  list_field(default=['''Hallo''', '''Bonjour''', '''Hello'''])
       _a           =  list_field(default=[0.1, 0.2, 0.3])







@dataclass
class       __lowerCAmelCase				:
       _a           =  field()
       _a           =  field()
       _a           =  field()






       def     SCREAMING_SNAKE_CASE			(      self:    Dict ):
         lowercase			:List[Any]							=  BasicEnum(self.required_enum )







@dataclass
class       __lowerCAmelCase				:
       _a           =  42
       _a           =  field()
       _a           =  None
       _a           =  field(default='''toto'''					,       metadata={'''help''': '''help message'''})
       _a           =  list_field(default=['''Hallo''', '''Bonjour''', '''Hello'''])


if is_python_no_less_than_3_10:




     @dataclass
     class       __lowerCAmelCase				:
            _a           =  False
            _a           =  True
            _a           =  None







     @dataclass
     class       __lowerCAmelCase				:
            _a           =  None
            _a           =  field(default=A_					,       metadata={'''help''': '''help message'''})
            _a           =  None
            _a           =  list_field(default=[])
            _a           =  list_field(default=[])







class       __lowerCAmelCase				(							unittest.TestCase):






       def     SCREAMING_SNAKE_CASE			(      self:    Any				,    _lowerCAmelCase:    argparse.ArgumentParser				,    _lowerCAmelCase:    argparse.ArgumentParser ):
         self.assertEqual(len(a._actions )				,    len(b._actions ) )
         for x, y in zip(a._actions				,    b._actions ):
           lowercase			:Optional[int]							=  {k: v for k, v in vars(_lowerCamelCase ).items() if k != "container"}
           lowercase			:List[str]							=  {k: v for k, v in vars(_lowerCamelCase ).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"				,    _lowerCamelCase ) and yy.get("choices"				,    _lowerCamelCase ):
             for expected_choice in yy["choices"] + xx["choices"]:
               self.assertEqual(xx["type"](_lowerCamelCase )				,    yy["type"](_lowerCamelCase ) )
             del xx["type"], yy["type"]

           self.assertEqual(_lowerCamelCase				,    _lowerCamelCase )






       def     SCREAMING_SNAKE_CASE			(      self:    Optional[int] ):
         lowercase			:List[Any]							=  HfArgumentParser(_lowerCamelCase )

         lowercase			:int							=  argparse.ArgumentParser()
         expected.add_argument("--foo"				,    type=_lowerCamelCase				,    required=_lowerCamelCase )
         expected.add_argument("--bar"				,    type=_lowerCamelCase				,    required=_lowerCamelCase )
         expected.add_argument("--baz"				,    type=_lowerCamelCase				,    required=_lowerCamelCase )
         expected.add_argument("--flag"				,    type=_lowerCamelCase				,    default=_lowerCamelCase				,    const=_lowerCamelCase				,    nargs="?" )
         self.argparsersEqual(_lowerCamelCase				,    _lowerCamelCase )

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






       def     SCREAMING_SNAKE_CASE			(      self:    Union[str, Any] ):
         lowercase			:int							=  HfArgumentParser(_lowerCamelCase )

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






       def     SCREAMING_SNAKE_CASE			(      self:    List[str] ):
         lowercase			:Optional[Any]							=  argparse.ArgumentParser()
         expected.add_argument("--foo"				,    type=_lowerCamelCase				,    default=_lowerCamelCase				,    const=_lowerCamelCase				,    nargs="?" )
         expected.add_argument("--baz"				,    type=_lowerCamelCase				,    default=_lowerCamelCase				,    const=_lowerCamelCase				,    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=_lowerCamelCase				,    dest="baz" )
         expected.add_argument("--opt"				,    type=_lowerCamelCase				,    default=_lowerCamelCase )

         lowercase			:Optional[int]							=  [WithDefaultBoolExample]
         if is_python_no_less_than_3_10:
           dataclass_types.append(_lowerCamelCase )

         for dataclass_type in dataclass_types:
           lowercase			:Tuple							=  HfArgumentParser(_lowerCamelCase )
           self.argparsersEqual(_lowerCamelCase				,    _lowerCamelCase )

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

           lowercase			:int							=  parser.parse_args(["--foo", "--no_baz"] )
           self.assertEqual(_lowerCamelCase				,    Namespace(foo=_lowerCamelCase				,    baz=_lowerCamelCase				,    opt=_lowerCamelCase ) )

           lowercase			:List[str]							=  parser.parse_args(["--foo", "--baz"] )
           self.assertEqual(_lowerCamelCase				,    Namespace(foo=_lowerCamelCase				,    baz=_lowerCamelCase				,    opt=_lowerCamelCase ) )

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

           lowercase			:Tuple							=  parser.parse_args(["--foo", "False", "--baz", "False", "--opt", "False"] )
           self.assertEqual(_lowerCamelCase				,    Namespace(foo=_lowerCamelCase				,    baz=_lowerCamelCase				,    opt=_lowerCamelCase ) )






       def     SCREAMING_SNAKE_CASE			(      self:    Any ):
         lowercase			:int							=  HfArgumentParser(_lowerCamelCase )

         lowercase			:Optional[Any]							=  argparse.ArgumentParser()
         expected.add_argument(
             "--foo"				,    default="toto"				,    choices=["titi", "toto", 42]				,    type=make_choice_type_function(["titi", "toto", 42] )				,    )
         self.argparsersEqual(_lowerCamelCase				,    _lowerCamelCase )

         lowercase			:List[Any]							=  parser.parse_args([] )
         self.assertEqual(args.foo				,    "toto" )
         lowercase			:Any							=  parser.parse_args_into_dataclasses([] )[0]
         self.assertEqual(enum_ex.foo				,    MixedTypeEnum.toto )

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

         lowercase			:Union[str, Any]							=  parser.parse_args(["--foo", "42"] )
         self.assertEqual(args.foo				,    42 )
         lowercase			:int							=  parser.parse_args_into_dataclasses(["--foo", "42"] )[0]
         self.assertEqual(enum_ex.foo				,    MixedTypeEnum.fourtytwo )






       def     SCREAMING_SNAKE_CASE			(      self:    Optional[int] ):




         @dataclass
         class       __lowerCAmelCase				:
                _a           =  '''toto'''







         lowercase			:List[str]							=  HfArgumentParser(_lowerCamelCase )

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

         lowercase			:Optional[int]							=  parser.parse_args([] )
         self.assertEqual(args.foo				,    "toto" )

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

         lowercase			:int							=  parser.parse_args(["--foo", "42"] )
         self.assertEqual(args.foo				,    42 )






       def     SCREAMING_SNAKE_CASE			(      self:    Optional[Any] ):
         lowercase			:Union[str, Any]							=  HfArgumentParser(_lowerCamelCase )

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

         self.argparsersEqual(_lowerCamelCase				,    _lowerCamelCase )

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

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






       def     SCREAMING_SNAKE_CASE			(      self:    int ):
         lowercase			:Union[str, Any]							=  argparse.ArgumentParser()
         expected.add_argument("--foo"				,    default=_lowerCamelCase				,    type=_lowerCamelCase )
         expected.add_argument("--bar"				,    default=_lowerCamelCase				,    type=_lowerCamelCase				,    help="help message" )
         expected.add_argument("--baz"				,    default=_lowerCamelCase				,    type=_lowerCamelCase )
         expected.add_argument("--ces"				,    nargs="+"				,    default=[]				,    type=_lowerCamelCase )
         expected.add_argument("--des"				,    nargs="+"				,    default=[]				,    type=_lowerCamelCase )

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

         for dataclass_type in dataclass_types:
           lowercase			:Optional[int]							=  HfArgumentParser(_lowerCamelCase )

           self.argparsersEqual(_lowerCamelCase				,    _lowerCamelCase )

           lowercase			:List[Any]							=  parser.parse_args([] )
           self.assertEqual(_lowerCamelCase				,    Namespace(foo=_lowerCamelCase				,    bar=_lowerCamelCase				,    baz=_lowerCamelCase				,    ces=[]				,    des=[] ) )

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






       def     SCREAMING_SNAKE_CASE			(      self:    List[Any] ):
         lowercase			:List[Any]							=  HfArgumentParser(_lowerCamelCase )

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






       def     SCREAMING_SNAKE_CASE			(      self:    Dict ):
         lowercase			:str							=  HfArgumentParser(_lowerCamelCase )

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






       def     SCREAMING_SNAKE_CASE			(      self:    int ):
         lowercase			:str							=  HfArgumentParser(_lowerCamelCase )

         lowercase			:Optional[Any]							=  {
             "foo": 12,
             "bar": 3.14,
             "baz": "42",
             "flag": True,
         }

         lowercase			:Any							=  parser.parse_dict(_lowerCamelCase )[0]
         lowercase			:Optional[Any]							=  BasicExample(**_lowerCamelCase )
         self.assertEqual(_lowerCamelCase				,    _lowerCamelCase )






       def     SCREAMING_SNAKE_CASE			(      self:    Dict ):
         lowercase			:Dict							=  HfArgumentParser(_lowerCamelCase )

         lowercase			:Optional[int]							=  {
             "foo": 12,
             "bar": 3.14,
             "baz": "42",
             "flag": True,
             "extra": 42,
         }

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






       def     SCREAMING_SNAKE_CASE			(      self:    Optional[Any] ):
         lowercase			:List[Any]							=  HfArgumentParser(_lowerCamelCase )

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

         lowercase			:Dict							=  BasicExample(**_lowerCamelCase )
         self.assertEqual(_lowerCamelCase				,    _lowerCamelCase )






       def     SCREAMING_SNAKE_CASE			(      self:    Any ):
         lowercase			:Union[str, Any]							=  HfArgumentParser(_lowerCamelCase )

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






       def     SCREAMING_SNAKE_CASE			(      self:    Union[str, Any] ):
         lowercase			:Optional[Any]							=  HfArgumentParser(_lowerCamelCase )
         self.assertIsNotNone(_lowerCamelCase )





"""simple docstring"""



import argparse
import os
from pathlib import Path

import fairseq
import torch
from packaging import version
from torch import nn

from transformers import (
    BartConfig,
    BartForConditionalGeneration,
    BartForSequenceClassification,
    BartModel,
    BartTokenizer,
)
from transformers.utils import logging


UpperCAmelCase__          = ['bart.large', 'bart.large.mnli', 'bart.large.cnn', 'bart_xsum/model.pt']
UpperCAmelCase__          = {'bart.large': BartModel, 'bart.large.mnli': BartForSequenceClassification}
if version.parse(fairseq.__version__) < version.parse('0.9.0'):
 raise Exception('requires fairseq >= 0.9.0')


logging.set_verbosity_info()
UpperCAmelCase__          = logging.get_logger(__name__)

UpperCAmelCase__          = ' Hello world! cécé herlolip'

UpperCAmelCase__          = [
    ('model.classification_heads.mnli.dense.weight', 'classification_head.dense.weight'),
    ('model.classification_heads.mnli.dense.bias', 'classification_head.dense.bias'),
    ('model.classification_heads.mnli.out_proj.weight', 'classification_head.out_proj.weight'),
    ('model.classification_heads.mnli.out_proj.bias', 'classification_head.out_proj.bias'),
]
def 					_UpperCAmelCase      ( __lowerCamelCase   :       Optional[Any]		)     ->					Optional[int]:
  _snake_case					     =       [
      '''encoder.version''',
      '''decoder.version''',
      '''model.encoder.version''',
      '''model.decoder.version''',
      '''_float_tensor''',
  ]
  for k in ignore_keys:
    state_dict.pop(__lowerCamelCase ,					__lowerCamelCase		)
def 					_UpperCAmelCase      ( __lowerCamelCase   :       List[Any] ,					__lowerCamelCase   :       int ,					__lowerCamelCase   :       int		)     ->					int:
  _snake_case					     =       dct.pop(__lowerCamelCase		)
  _snake_case					     =       val
def 					_UpperCAmelCase      ( __lowerCamelCase   :       Dict		)     ->					str:
  _snake_case					     =       torch.load(__lowerCamelCase ,					map_location='''cpu'''		)
  _snake_case					     =       torch.hub.load('''pytorch/fairseq''' ,					'''bart.large.cnn'''		).eval()
  hub_interface.model.load_state_dict(sd['''model''']		)
  return hub_interface
def 					_UpperCAmelCase      ( __lowerCamelCase   :       Optional[int]		)     ->					Union[str, Any]:
  _snake_case     ,					_snake_case					     =       emb.weight.shape
  _snake_case					     =       nn.Linear(__lowerCamelCase ,					__lowerCamelCase ,					bias=__lowerCamelCase		)
  _snake_case					     =       emb.weight.data
  return lin_layer
@torch.no_grad()
def 					_UpperCAmelCase      ( __lowerCamelCase   :       List[Any] ,					__lowerCamelCase   :       Tuple ,					__lowerCamelCase   :       Union[str, Any]=None		)     ->					List[Any]:
  if not os.path.exists(__lowerCamelCase		):
    _snake_case					     =       torch.hub.load('''pytorch/fairseq''' ,					__lowerCamelCase		).eval()
  else:
    _snake_case					     =       load_xsum_checkpoint(__lowerCamelCase		)

  bart.model.upgrade_state_dict(bart.model.state_dict()		)
  if hf_checkpoint_name is None:
    _snake_case					     =       checkpoint_path.replace('''.''' ,					'''-'''		)
  _snake_case					     =       BartConfig.from_pretrained(__lowerCamelCase		)
  _snake_case					     =       bart.encode(__lowerCamelCase		).unsqueeze(0		)
  _snake_case					     =       BartTokenizer.from_pretrained(__lowerCamelCase		).encode(__lowerCamelCase ,					return_tensors='''pt'''		).unsqueeze(0		)
  if not torch.eq(__lowerCamelCase ,					__lowerCamelCase		).all():
    raise ValueError(
        f'''converted tokenizer and pretrained tokenizer returned different output: {tokens} != {tokensa}'''		)

  if checkpoint_path == "bart.large.mnli":
    _snake_case					     =       bart.state_dict()
    remove_ignore_keys_(__lowerCamelCase		)
    _snake_case					     =       state_dict['''model.decoder.embed_tokens.weight''']
    for src, dest in mnli_rename_keys:
      rename_key(__lowerCamelCase ,					__lowerCamelCase ,					__lowerCamelCase		)
    _snake_case					     =       BartForSequenceClassification(__lowerCamelCase		).eval()
    model.load_state_dict(__lowerCamelCase		)
    _snake_case					     =       bart.predict('''mnli''' ,					__lowerCamelCase ,					return_logits=__lowerCamelCase		)
    _snake_case					     =       model(__lowerCamelCase		)[0]  # logits
  else:  # no classification heads to worry about
    _snake_case					     =       bart.model.state_dict()
    remove_ignore_keys_(__lowerCamelCase		)
    _snake_case					     =       state_dict['''decoder.embed_tokens.weight''']
    _snake_case					     =       bart.extract_features(__lowerCamelCase		)
    if hf_checkpoint_name == "facebook/bart-large":
      _snake_case					     =       BartModel(__lowerCamelCase		).eval()
      model.load_state_dict(__lowerCamelCase		)
      _snake_case					     =       model(__lowerCamelCase		).model[0]
    else:
      _snake_case					     =       BartForConditionalGeneration(__lowerCamelCase		).eval()  # an existing summarization ckpt
      model.model.load_state_dict(__lowerCamelCase		)
      if hasattr(__lowerCamelCase ,					'''lm_head'''		):
        _snake_case					     =       make_linear_from_emb(model.model.shared		)
      _snake_case					     =       model.model(__lowerCamelCase		)[0]

    # Check results
  if fairseq_output.shape != new_model_outputs.shape:
    raise ValueError(
        f'''`fairseq_output` shape and `new_model_output` shape are different: {fairseq_output.shape=}, {new_model_outputs.shape}'''		)
  if (fairseq_output != new_model_outputs).any().item():
    raise ValueError('''Some values in `fairseq_output` are different from `new_model_outputs`'''		)
  Path(__lowerCamelCase		).mkdir(exist_ok=__lowerCamelCase		)
  model.save_pretrained(__lowerCamelCase		)


if __name__ == "__main__":
 UpperCAmelCase__          = argparse.ArgumentParser()
 # Required parameters
 parser.add_argument(
     'fairseq_path', type=str, help='bart.large, bart.large.cnn or a path to a model.pt on local filesystem.'
 )
 parser.add_argument('pytorch_dump_folder_path', default=None, type=str, help='Path to the output PyTorch model.')
 parser.add_argument(
     '--hf_config', default=None, type=str, help='Which huggingface architecture to use: bart-large-xsum'
 )
 UpperCAmelCase__          = parser.parse_args()
 convert_bart_checkpoint(args.fairseq_path, args.pytorch_dump_folder_path, hf_checkpoint_name=args.hf_config)



