




'''simple docstring'''
import os
from collections.abc import Iterator

def 						UpperCamelCase_     (	__SCREAMING_SNAKE_CASE = "."       ):
    """simple docstring"""






    for dir_path, dir_names, filenames in os.walk(_lowercase       ):
        snake_case_ :    str     			=						[d for d in dir_names if d != "scripts" and d[0] not in "._"]
        for filename in filenames:
            if filename == "__init__.py":
                continue
            if os.path.splitext(_lowercase       )[1] in (".py", ".ipynb"):
                yield os.path.join(_lowercase,		_lowercase       ).lstrip("./"       )

def 						UpperCamelCase_     (	__SCREAMING_SNAKE_CASE       ):
    """simple docstring"""






    return f'{i * "  "}*' if i else "\n##"

def 						UpperCamelCase_     (	__SCREAMING_SNAKE_CASE,		__SCREAMING_SNAKE_CASE       ):
    """simple docstring"""






    snake_case_ :    str     			=						old_path.split(os.sep       )
    for i, new_part in enumerate(new_path.split(os.sep       )       ):
        if (i + 1 > len(_lowercase       ) or old_parts[i] != new_part) and new_part:
            print(f'{md_prefix(_lowercase       )} {new_part.replace("_",		" "       ).title()}'       )
    return new_path

def 						UpperCamelCase_     (	__SCREAMING_SNAKE_CASE = "."       ):
    """simple docstring"""






    snake_case_ :    str     			=						""
    for filepath in sorted(good_file_paths(_lowercase       )       ):
        snake_case_ :    List[Any]     			=						os.path.split(_lowercase       )
        if filepath != old_path:
            snake_case_ :    Union[str, Any]     			=						print_path(_lowercase,		_lowercase       )
        snake_case_ :    List[str]     			=						(filepath.count(os.sep       ) + 1) if filepath else 0
        snake_case_ :    str     			=						f'{filepath}/{filename}'.replace(" ",		"%20"       )
        snake_case_ :    List[Any]     			=						os.path.splitext(filename.replace("_",		" "       ).title()       )[0]
        print(f'{md_prefix(_lowercase       )} [{filename}]({url})'       )


if __name__ == "__main__":
  print_directory_md(".")






'''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 						UpperCamelCase_     (	__SCREAMING_SNAKE_CASE,		__SCREAMING_SNAKE_CASE       ):
    """simple docstring"""






    snake_case_ :    List[Any]     			=						torch.load(__SCREAMING_SNAKE_CASE       )
    snake_case_ :    List[Any]     			=						d.pop(__SCREAMING_SNAKE_CASE       )
    os.makedirs(__SCREAMING_SNAKE_CASE,		exist_ok=__SCREAMING_SNAKE_CASE       )
    torch.save(__SCREAMING_SNAKE_CASE,		os.path.join(__SCREAMING_SNAKE_CASE,		__SCREAMING_SNAKE_CASE       )       )


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,
    )




