

"""simple docstring"""


import argparse
import os

import torch

from transformers.utils import WEIGHTS_NAME


__A		  =     ["small", "medium", "large"]

__A		  =     "lm_head.decoder.weight"
__A		  =     "lm_head.weight"






def        a__       (       __SCREAMING_SNAKE_CASE   ,					__SCREAMING_SNAKE_CASE					)      ->      str:
		__lowerCAmelCase:			Dict        =     torch.load(A__					)
		__lowerCAmelCase:			Union[str, Any]        =     d.pop(A__					)
		os.makedirs(A__   ,					exist_ok=A__					)
		torch.save(A__   ,					os.path.join(A__   ,					A__					)					)


if __name__ == "__main__":
			__A		  =     argparse.ArgumentParser()
			parser.add_argument("--dialogpt_path", default=".", type=str)
			__A		  =     parser.parse_args()
			for MODEL in DIALOGPT_MODELS:
						__A		  =     os.path.join(args.dialogpt_path, F'''{MODEL}_ft.pkl''')
						__A		  =     F'''./DialoGPT-{MODEL}'''
						convert_dialogpt_checkpoint(
						    checkpoint_path,
						    pytorch_dump_folder_path,
						)







from __future__ import annotations

def 	_lowerCAmelCase (    A__    ,	A__ = None						):
      lowercase__  =	word_bank or []
      # create a table
      lowercase__  =	len(A__						) + 1

      lowercase__  =	[]
      for _ in range(A__						):
            table.append([]						)
      # seed value
      lowercase__  =	[[]]  # because empty string has empty combination

      # iterate through the indices
      for i in range(A__						):
            # condition
            if table[i] != []:
                  for word in word_bank:
                        # slice condition
                        if target[i : i + len(A__						)] == word:
                              lowercase__  =	[
                                  [word, *way] for way in table[i]
                              ]
                              # adds the word to every combination the current position holds
                              # now,push that combination to the table[i+len(word)]
                              table[i + len(A__						)] += new_combinations

    # combinations are in reverse order so reverse for better output
      for combination in table[len(A__						)]:
            combination.reverse()

      return table[len(A__						)]


if __name__ == "__main__":
       print(all_construct("jwajalapa", ["jwa", "j", "w", "a", "la", "lapa"]))
       print(all_construct("rajamati", ["s", "raj", "amat", "raja", "ma", "i", "t"]))
       print(
           all_construct(
               "hexagonosaurus",
               ["h", "ex", "hex", "ag", "ago", "ru", "auru", "rus", "go", "no", "o", "s"],
           )
       )
