import subprocess
from argparse import ArgumentParser
from typing import List, Union

from huggingface_hub.hf_api import HfFolder, create_repo, whoami
from requests.exceptions import HTTPError

from . import BaseTransformersCLICommand



class 			UpperCamelCase					(			__lowercase			):

     '''simple docstring'''

     @staticmethod
     def 		UpperCamelCase_    (       A_    )			->					int:






           """simple docstring"""
           _lowerCamelCase           =					parser.add_parser('''login'''					,					help='''Log in using the same credentials as on huggingface.co'''    )
           login_parser.set_defaults(func=lambda A_    : LoginCommand(A_    )    )
           _lowerCamelCase           =					parser.add_parser('''whoami'''					,					help='''Find out which huggingface.co account you are logged in as.'''    )
           whoami_parser.set_defaults(func=lambda A_    : WhoamiCommand(A_    )    )
           _lowerCamelCase           =					parser.add_parser('''logout'''					,					help='''Log out'''    )
           logout_parser.set_defaults(func=lambda A_    : LogoutCommand(A_    )    )

           # new system: git-based repo system
           _lowerCamelCase           =					parser.add_parser(
               '''repo'''					,					help='''Deprecated: use `huggingface-cli` instead. Commands to interact with your huggingface.co repos.'''					,					)
           _lowerCamelCase           =					repo_parser.add_subparsers(
               help='''Deprecated: use `huggingface-cli` instead. huggingface.co repos related commands'''    )
           _lowerCamelCase           =					repo_subparsers.add_parser(
               '''create'''					,					help='''Deprecated: use `huggingface-cli` instead. Create a new repo on huggingface.co'''    )
           repo_create_parser.add_argument(
               '''name'''					,					type=A_					,					help='''Name for your model\'s repo. Will be namespaced under your username to build the model id.'''					,					)
           repo_create_parser.add_argument('''--organization'''					,					type=A_					,					help='''Optional: organization namespace.'''    )
           repo_create_parser.add_argument('''-y'''					,					'''--yes'''					,					action='''store_true'''					,					help='''Optional: answer Yes to the prompt'''    )
           repo_create_parser.set_defaults(func=lambda A_    : RepoCreateCommand(A_    )    )





class 			UpperCamelCase					:

     '''simple docstring'''

     A_					    =	'\u001b[1m'
     A_					    =	'\u001b[31m'
     A_					    =	'\u001b[90m'
     A_					    =	'\u001b[0m'



     @classmethod
     def 		UpperCamelCase_    (       cls					,					A_    )			->					Tuple:






           """simple docstring"""
           return F'{cls._bold}{s}{cls._reset}'



     @classmethod
     def 		UpperCamelCase_    (       cls					,					A_    )			->					Dict:






           """simple docstring"""
           return F'{cls._bold}{cls._red}{s}{cls._reset}'





     @classmethod
     def 		UpperCamelCase_    (       cls					,					A_    )			->					str:






           """simple docstring"""
           return F'{cls._gray}{s}{cls._reset}'





def    __magic_name__(	__UpperCAmelCase			,    __UpperCAmelCase		)    ->     str:



      '''simple docstring'''

      _lowerCamelCase           =					[max(len(str(__UpperCAmelCase		)		) for x in col		) for col in zip(*__UpperCAmelCase			,    __UpperCAmelCase		)]
      _lowerCamelCase           =					('''{{:{}}} ''' * len(__UpperCAmelCase		)).format(*__UpperCAmelCase		)
      _lowerCamelCase           =					[]
      lines.append(row_format.format(*__UpperCAmelCase		)		)
      lines.append(row_format.format(*['''-''' * w for w in col_widths]		)		)
      for row in rows:
            lines.append(row_format.format(*__UpperCAmelCase		)		)
      return "\n".join(__UpperCAmelCase		)



class 			UpperCamelCase					:

     '''simple docstring'''

     def __init__(       self					,					A_    )			->					Any:






           """simple docstring"""
           _lowerCamelCase           =					args





class 			UpperCamelCase					(			__lowercase			):

     '''simple docstring'''

     def 		UpperCamelCase_    (       self    )			->					List[str]:






           """simple docstring"""
           print(
               ANSI.red(
                   '''ERROR! `huggingface-cli login` uses an outdated login mechanism '''
                   '''that is not compatible with the Hugging Face Hub backend anymore. '''
                   '''Please use `huggingface-cli login instead.'''    )    )





class 			UpperCamelCase					(			__lowercase			):

     '''simple docstring'''

     def 		UpperCamelCase_    (       self    )			->					Any:






           """simple docstring"""
           print(
               ANSI.red(
                   '''WARNING! `transformers-cli whoami` is deprecated and will be removed in v5. Please use '''
                   '''`huggingface-cli whoami` instead.'''    )    )
           _lowerCamelCase           =					HfFolder.get_token()
           if token is None:
                 print('''Not logged in'''    )
                 exit()
           try:
                 _lowerCamelCase     ,       _lowerCamelCase           =					whoami(A_    )
                 print(A_    )
                 if orgs:
                       print(ANSI.bold('''orgs: '''    )					,					''','''.join(A_    )    )
           except HTTPError as e:
                 print(A_    )
                 print(ANSI.red(e.response.text    )    )
                 exit(1    )





class 			UpperCamelCase					(			__lowercase			):

     '''simple docstring'''

     def 		UpperCamelCase_    (       self    )			->					Optional[Any]:






           """simple docstring"""
           print(
               ANSI.red(
                   '''ERROR! `transformers-cli logout` uses an outdated logout mechanism '''
                   '''that is not compatible with the Hugging Face Hub backend anymore. '''
                   '''Please use `huggingface-cli logout instead.'''    )    )





class 			UpperCamelCase					(			__lowercase			):

     '''simple docstring'''

     def 		UpperCamelCase_    (       self    )			->					Any:






           """simple docstring"""
           print(
               ANSI.red(
                   '''WARNING! Managing repositories through transformers-cli is deprecated. '''
                   '''Please use `huggingface-cli` instead.'''    )    )
           _lowerCamelCase           =					HfFolder.get_token()
           if token is None:
                 print('''Not logged in'''    )
                 exit(1    )
           try:
                 _lowerCamelCase           =					subprocess.check_output(['''git''', '''--version''']    ).decode('''utf-8'''    )
                 print(ANSI.gray(stdout.strip()    )    )
           except FileNotFoundError:
                 print('''Looks like you do not have git installed, please install.'''    )

           try:
                 _lowerCamelCase           =					subprocess.check_output(['''git-lfs''', '''--version''']    ).decode('''utf-8'''    )
                 print(ANSI.gray(stdout.strip()    )    )
           except FileNotFoundError:
                 print(
                     ANSI.red(
                         '''Looks like you do not have git-lfs installed, please install.'''
                         ''' You can install from https://git-lfs.github.com/.'''
                         ''' Then run `git lfs install` (you only have to do this once).'''    )    )
           print(''''''    )

           _lowerCamelCase     ,       _lowerCamelCase           =					whoami(A_    )
           _lowerCamelCase           =					self.args.organization if self.args.organization is not None else user
           _lowerCamelCase           =					F'{namespace}/{self.args.name}'
           print(F'You are about to create {ANSI.bold(A_    )}'    )

           if not self.args.yes:
                 _lowerCamelCase           =					input('''Proceed? [Y/n] '''    ).lower()
                 if not (choice == "" or choice == "y" or choice == "yes"):
                       print('''Abort'''    )
                       exit()
           try:
                 _lowerCamelCase           =					create_repo(A_					,					name=self.args.name					,					organization=self.args.organization    )
           except HTTPError as e:
                 print(A_    )
                 print(ANSI.red(e.response.text    )    )
                 exit(1    )
           print('''\nYour repo now lives at:'''    )
           print(F'  {ANSI.bold(A_    )}'    )
           print('''\nYou can clone it locally with the command below, and commit/push as usual.'''    )
           print(F'\n  git clone {url}'    )
           print(''''''    )
import torch

from accelerate import Accelerator, DistributedType



class 			UpperCamelCase					:

     '''simple docstring'''

     def __enter__(       self    )			->					int:






           """simple docstring"""
           if self.enabled:
                 _lowerCamelCase           =					self.model.no_sync()
                 self.model_sync_obj.__enter__()

           return self



     def __exit__(       self					,					A_					,					A_					,					A_    )			->					Union[str, Any]:






           """simple docstring"""
           if self.enabled:
                 # Average all models on exit
                 self._sync_and_avg_model_params()
                 self.model_sync_obj.__exit__(A_					,					A_					,					A_    )



     def __init__(       self					,					A_					,					A_					,					A_					,					A_ = True    )			->					List[str]:






           """simple docstring"""
           if accelerator.distributed_type not in [
               DistributedType.NO,
               DistributedType.MULTI_CPU,
               DistributedType.MULTI_GPU,
           ]:
                 raise NotImplementedError('''LocalSGD is supported only for CPUs and GPUs (no DeepSpeed or MegatronLM)'''    )
           _lowerCamelCase           =					enabled and accelerator.distributed_type != DistributedType.NO
           _lowerCamelCase           =					0
           if self.enabled:
                 _lowerCamelCase           =					accelerator
                 _lowerCamelCase           =					model
                 _lowerCamelCase           =					local_sgd_steps



     def 		UpperCamelCase_    (       self    )			->					Optional[Any]:






           """simple docstring"""
           self.num_steps += 1
           if not self.enabled:
                 return

           if self.num_steps % self.local_sgd_steps == 0:
                 self._sync_and_avg_model_params()





     def 		UpperCamelCase_    (       self    )			->					Union[str, Any]:






           """simple docstring"""
           self.accelerator.wait_for_everyone()
           with self.accelerator.autocast():
                 for param in self.model.parameters():
                       _lowerCamelCase           =					self.accelerator.reduce(param.data					,					reduction='''mean'''    )