

"""simple docstring"""





import unittest
from dataclasses import dataclass
from typing import Optional

from transformers.utils import ModelOutput

@dataclass
class      __a (   _a     ):

			"""simple docstring"""

			SCREAMING_SNAKE_CASE_      =    42
			SCREAMING_SNAKE_CASE_      =    None
			SCREAMING_SNAKE_CASE_      =    None



class      __a (   unittest.TestCase     ):

			"""simple docstring"""

			def  _lowerCAmelCase      (				self  :       str    ):
								UpperCamelCase__		:     List[str]								=ModelOutputTest(a=30    )
								self.assertEqual(x.a    ,	30    )
								self.assertIsNone(x.b    )
								self.assertIsNone(x.c    )
								with self.assertRaises(lowercase_    ):
													UpperCamelCase__		:     Union[str, Any]								=x.d






			def  _lowerCAmelCase      (				self  :       Tuple    ):
								UpperCamelCase__		:     int								=ModelOutputTest(a=30    ,	b=10    )
								self.assertEqual(x[0]    ,	30    )
								self.assertEqual(x[1]    ,	10    )
								self.assertEqual(x[:2]    ,	(30, 10)    )
								self.assertEqual(x[:]    ,	(30, 10)    )

								UpperCamelCase__		:     Optional[Any]								=ModelOutputTest(a=30    ,	c=10    )
								self.assertEqual(x[0]    ,	30    )
								self.assertEqual(x[1]    ,	10    )
								self.assertEqual(x[:2]    ,	(30, 10)    )
								self.assertEqual(x[:]    ,	(30, 10)    )






			def  _lowerCAmelCase      (				self  :       Optional[int]    ):
								UpperCamelCase__		:     List[str]								=ModelOutputTest(a=30    ,	b=10    )
								self.assertEqual(x['''a''']    ,	30    )
								self.assertEqual(x['''b''']    ,	10    )
								with self.assertRaises(lowercase_    ):
													UpperCamelCase__		:     str								=x['''c''']

								UpperCamelCase__		:     List[str]								=ModelOutputTest(a=30    ,	c=10    )
								self.assertEqual(x['''a''']    ,	30    )
								self.assertEqual(x['''c''']    ,	10    )
								with self.assertRaises(lowercase_    ):
													UpperCamelCase__		:     Union[str, Any]								=x['''b''']






			def  _lowerCAmelCase      (				self  :       Optional[int]    ):
								UpperCamelCase__		:     int								=ModelOutputTest(a=30    )
								self.assertEqual(list(x.keys()    )    ,	['''a''']    )
								self.assertEqual(list(x.values()    )    ,	[30]    )
								self.assertEqual(list(x.items()    )    ,	[('''a''', 30)]    )
								self.assertEqual(list(lowercase_    )    ,	['''a''']    )

								UpperCamelCase__		:     Optional[Any]								=ModelOutputTest(a=30    ,	b=10    )
								self.assertEqual(list(x.keys()    )    ,	['''a''', '''b''']    )
								self.assertEqual(list(x.values()    )    ,	[30, 10]    )
								self.assertEqual(list(x.items()    )    ,	[('''a''', 30), ('''b''', 10)]    )
								self.assertEqual(list(lowercase_    )    ,	['''a''', '''b''']    )

								UpperCamelCase__		:     List[Any]								=ModelOutputTest(a=30    ,	c=10    )
								self.assertEqual(list(x.keys()    )    ,	['''a''', '''c''']    )
								self.assertEqual(list(x.values()    )    ,	[30, 10]    )
								self.assertEqual(list(x.items()    )    ,	[('''a''', 30), ('''c''', 10)]    )
								self.assertEqual(list(lowercase_    )    ,	['''a''', '''c''']    )

								with self.assertRaises(lowercase_    ):
													UpperCamelCase__		:     Tuple								=x.update({'''d''': 20}    )
								with self.assertRaises(lowercase_    ):
													del x["a"]
								with self.assertRaises(lowercase_    ):
													UpperCamelCase__		:     Any								=x.pop('''a'''    )
								with self.assertRaises(lowercase_    ):
													UpperCamelCase__		:     List[Any]								=x.setdefault('''d'''    ,	32    )






			def  _lowerCAmelCase      (				self  :       Optional[Any]    ):
								UpperCamelCase__		:     Dict								=ModelOutputTest(a=30    )
								UpperCamelCase__		:     str								=10
								self.assertEqual(x.a    ,	10    )
								self.assertEqual(x['''a''']    ,	10    )






			def  _lowerCAmelCase      (				self  :       str    ):
								UpperCamelCase__		:     Union[str, Any]								=ModelOutputTest(a=30    )
								UpperCamelCase__		:     List[Any]								=10
								self.assertEqual(x.a    ,	10    )
								self.assertEqual(x['''a''']    ,	10    )






			def  _lowerCAmelCase      (				self  :       str    ):
								UpperCamelCase__		:     int								=ModelOutputTest({'''a''': 30, '''b''': 10}    )
								self.assertEqual(list(x.keys()    )    ,	['''a''', '''b''']    )
								self.assertEqual(x.a    ,	30    )
								self.assertEqual(x.b    ,	10    )






			def  _lowerCAmelCase      (				self  :       Union[str, Any]    ):
								UpperCamelCase__		:     Optional[Any]								=ModelOutputTest([('''a''', 30), ('''b''', 10)]    )
								self.assertEqual(list(x.keys()    )    ,	['''a''', '''b''']    )
								self.assertEqual(x.a    ,	30    )
								self.assertEqual(x.b    ,	10    )

								with self.assertRaises(lowercase_    ):
													UpperCamelCase__		:     Any								=ModelOutputTest([('''a''', 30), (10, 10)]    )

								UpperCamelCase__		:     List[str]								=ModelOutputTest(a=(30, 30)    )
								self.assertEqual(list(x.keys()    )    ,	['''a''']    )
								self.assertEqual(x.a    ,	(30, 30)    )



import os
from pathlib import Path
from typing import Dict, List

import fire
import torch

from transformers import AutoModelForSeqaSeqLM, AutoTokenizer
from transformers.utils.logging import get_logger


_SCREAMING_SNAKE_CASE     =     get_logger(__name__)
def 					__lowercase						(    lowerCamelCase__			,					lowerCamelCase__       )					->Optional[int]:

  '''simple docstring'''




  if text.startswith(lowerCamelCase__       ):
    return text[len(lowerCamelCase__       ) :]
  return text  # or whatever
def 					__lowercase						(    lowerCamelCase__       )					->int:

  '''simple docstring'''




  return {remove_prefix(lowerCamelCase__			,					"model."       ): v for k, v in sd.items()}
def 					__lowercase						(    lowerCamelCase__       )					->Any:

  '''simple docstring'''




  a__  		=  {}
  for k in state_dicts[0].keys():
    a__  		=  [sd[k] for sd in state_dicts]
    a__  		=  sum(lowerCamelCase__       ) / len(lowerCamelCase__       )
    assert isinstance(lowerCamelCase__			,					torch.Tensor       )
    a__  		=  new_t
  return new_sd
def 					__lowercase						(    lowerCamelCase__			,					lowerCamelCase__			,					lowerCamelCase__       )					->None:

  '''simple docstring'''




  a__  		=  AutoModelForSeqaSeqLM.from_pretrained(lowerCamelCase__       )
  if os.path.isfile(lowerCamelCase__       ):
    a__  		=  [pl_ckpt_path]
  else:
    assert os.path.isdir(lowerCamelCase__       )
    a__  		=  list(Path(lowerCamelCase__       ).glob("*.ckpt"       )       )
    assert ckpt_files, f"could not find any ckpt files inside the {pl_ckpt_path} directory"

  if len(lowerCamelCase__       ) > 1:
    logger.info(f"averaging the weights of {ckpt_files}"       )

  a__  		=  [sanitize(torch.load(lowerCamelCase__			,					map_location="cpu"       )["state_dict"]       ) for x in ckpt_files]
  a__  		=  average_state_dicts(lowerCamelCase__       )

  a__		,a__  		=  hf_model.load_state_dict(lowerCamelCase__			,					strict=lowerCamelCase__       )
  assert not missing, f"missing keys: {missing}"
  hf_model.save_pretrained(lowerCamelCase__       )
  try:
    a__  		=  AutoTokenizer.from_pretrained(lowerCamelCase__       )
    tok.save_pretrained(lowerCamelCase__       )
  except Exception:
    pass
    # dont copy tokenizer if cant


if __name__ == "__main__":
     fire.Fire(convert_pl_to_hf)

