"""simple docstring"""


import argparse

import torch
from torch import nn

from transformers import MBartConfig, MBartForConditionalGeneration






def     __UpperCAmelCase					(			lowercase		):







  """simple docstring"""
  _UpperCAmelCase						 =      [
      """encoder.version""",
      """decoder.version""",
      """model.encoder.version""",
      """model.decoder.version""",
      """_float_tensor""",
      """decoder.output_projection.weight""",
  ]
  for k in ignore_keys:
    state_dict.pop(lowercase   ,lowercase		)






def     __UpperCAmelCase					(			lowercase		):







  """simple docstring"""
  _UpperCAmelCase ,				_UpperCAmelCase						 =      emb.weight.shape
  _UpperCAmelCase						 =      nn.Linear(lowercase   ,lowercase   ,bias=lowercase		)
  _UpperCAmelCase						 =      emb.weight.data
  return lin_layer






def     __UpperCAmelCase					(			lowercase   ,lowercase="facebook/mbart-large-en-ro"   ,lowercase=False   ,lowercase=False		):







  """simple docstring"""
  _UpperCAmelCase						 =      torch.load(lowercase   ,map_location="""cpu"""		)["""model"""]
  remove_ignore_keys_(lowercase		)
  _UpperCAmelCase						 =      state_dict["""encoder.embed_tokens.weight"""].shape[0]

  _UpperCAmelCase						 =      MBartConfig.from_pretrained(lowercase   ,vocab_size=lowercase		)
  if mbart_aa and finetuned:
    _UpperCAmelCase						 =      """relu"""

  _UpperCAmelCase						 =      state_dict["""decoder.embed_tokens.weight"""]
  _UpperCAmelCase						 =      MBartForConditionalGeneration(lowercase		)
  model.model.load_state_dict(lowercase		)

  if finetuned:
    _UpperCAmelCase						 =      make_linear_from_emb(model.model.shared		)

  return model


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="""facebook/mbart-large-cc25""",
        type=str,
        help="""Which huggingface architecture to use: mbart-large""",
    )
    parser.add_argument("""--mbart_50""", action="""store_true""", help="""whether the model is mMART-50 checkpoint""")
    parser.add_argument("""--finetuned""", action="""store_true""", help="""whether the model is a fine-tuned checkpoint""")
    UpperCAmelCase__  		=						parser.parse_args()
    UpperCAmelCase__  		=						convert_fairseq_mbart_checkpoint_from_disk(
        args.fairseq_path, hf_config_path=args.hf_config, finetuned=args.finetuned, mbart_aa=args.mbart_aa
    )
    model.save_pretrained(args.pytorch_dump_folder_path)

"""simple docstring"""


import copy
import re


class        a				:
    _snake_case     :  Any     							=							'hp'
    _snake_case     :  Union[str, Any]     							=							{}
    _snake_case     :  Optional[Any]     							=							None


    @classmethod
    def      lowerCAmelCase_  (					cls	:  Union[str, Any]   ,				__lowerCAmelCase	:  List[Any]   ,				__lowerCAmelCase	:  str					):
      _UpperCAmelCase						 =      prefix
      _UpperCAmelCase						 =      defaults
      cls.build_naming_info()


    @staticmethod
    def      lowerCAmelCase_  (					__lowerCAmelCase	:  Dict   ,				__lowerCAmelCase	:  Optional[Any]					):
      if len(__lowerCAmelCase					) == 0:
        return ""
      _UpperCAmelCase						 =      None
      if any(char.isdigit() for char in word					):
        raise Exception(f'''Parameters should not contain numbers: \'{word}\' contains a number'''					)
      if word in info["short_word"]:
        return info["short_word"][word]
      for prefix_len in range(1   ,				len(__lowerCAmelCase					) + 1					):
        _UpperCAmelCase						 =      word[:prefix_len]
        if prefix in info["reverse_short_word"]:
          continue
        else:
          _UpperCAmelCase						 =      prefix
          break

      if short_word is None:
        # Paranoid fallback
        def int_to_alphabetic(__lowerCAmelCase	:  List[Any]					):
          _UpperCAmelCase						 =      """"""
          while integer != 0:
            _UpperCAmelCase						 =      chr(ord("""A"""					) + integer % 10					) + s
            integer //= 10
          return s

        _UpperCAmelCase						 =      0
        while True:
          _UpperCAmelCase						 =      word + """#""" + int_to_alphabetic(__lowerCAmelCase					)
          if sword in info["reverse_short_word"]:
            continue
          else:
            _UpperCAmelCase						 =      sword
            break

      _UpperCAmelCase						 =      short_word
      _UpperCAmelCase						 =      word
      return short_word


    @staticmethod
    def      lowerCAmelCase_  (					__lowerCAmelCase	:  Tuple   ,				__lowerCAmelCase	:  Optional[int]					):
      _UpperCAmelCase						 =      param_name.split("""_"""					)

      _UpperCAmelCase						 =      [TrialShortNamer.shortname_for_word(__lowerCAmelCase   ,				__lowerCAmelCase					) for word in words]

      # We try to create a separatorless short name, but if there is a collision we have to fallback
      # to a separated short name
      _UpperCAmelCase						 =      ["""""", """_"""]

      for separator in separators:
        _UpperCAmelCase						 =      separator.join(__lowerCAmelCase					)
        if shortname not in info["reverse_short_param"]:
          _UpperCAmelCase						 =      shortname
          _UpperCAmelCase						 =      param_name
          return shortname

      return param_name


    @staticmethod
    def      lowerCAmelCase_  (					__lowerCAmelCase	:  Optional[int]   ,				__lowerCAmelCase	:  Optional[int]					):
      _UpperCAmelCase						 =      TrialShortNamer.shortname_for_key(__lowerCAmelCase   ,				__lowerCAmelCase					)
      _UpperCAmelCase						 =      short_name
      _UpperCAmelCase						 =      param_name


    @classmethod
    def      lowerCAmelCase_  (					cls	:  Optional[Any]					):
      if cls.NAMING_INFO is not None:
        return

      _UpperCAmelCase						 =      {
          """short_word""": {},
          """reverse_short_word""": {},
          """short_param""": {},
          """reverse_short_param""": {},
      }

      _UpperCAmelCase						 =      list(cls.DEFAULTS.keys()					)

      for k in field_keys:
        cls.add_new_param_name(__lowerCAmelCase   ,				__lowerCAmelCase					)

      _UpperCAmelCase						 =      info


    @classmethod
    def      lowerCAmelCase_  (					cls	:  List[str]   ,				__lowerCAmelCase	:  int					):
      cls.build_naming_info()
      assert cls.PREFIX is not None
      _UpperCAmelCase						 =      [copy.copy(cls.PREFIX					)]

      for k, v in params.items():
        if k not in cls.DEFAULTS:
          raise Exception(f'''You should provide a default value for the param name {k} with value {v}'''					)
        if v == cls.DEFAULTS[k]:
          # The default value is not added to the name
          continue

        _UpperCAmelCase						 =      cls.NAMING_INFO["""short_param"""][k]

        if isinstance(__lowerCAmelCase   ,				__lowerCAmelCase					):
          _UpperCAmelCase						 =      1 if v else 0

        _UpperCAmelCase						 =      """""" if isinstance(__lowerCAmelCase   ,				(int, float)					) else """-"""
        _UpperCAmelCase						 =      f'''{key}{sep}{v}'''
        name.append(__lowerCAmelCase					)

      return "_".join(__lowerCAmelCase					)


    @classmethod
    def      lowerCAmelCase_  (					cls	:  Optional[int]   ,				__lowerCAmelCase	:  Optional[Any]					):
      _UpperCAmelCase						 =      repr[len(cls.PREFIX					) + 1 :]
      if repr == "":
        _UpperCAmelCase						 =      []
      else:
        _UpperCAmelCase						 =      repr.split("""_"""					)

      _UpperCAmelCase						 =      {}

      for value in values:
        if "-" in value:
          _UpperCAmelCase ,				_UpperCAmelCase						 =      value.split("""-"""					)
        else:
          _UpperCAmelCase						 =      re.sub("""[0-9.]"""   ,				""""""   ,				__lowerCAmelCase					)
          _UpperCAmelCase						 =      float(re.sub("""[^0-9.]"""   ,				""""""   ,				__lowerCAmelCase					)					)

        _UpperCAmelCase						 =      cls.NAMING_INFO["""reverse_short_param"""][p_k]

        _UpperCAmelCase						 =      p_v

      for k in cls.DEFAULTS:
        if k not in parameters:
          _UpperCAmelCase						 =      cls.DEFAULTS[k]

      return parameters
