



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 				SCREAMING_SNAKE_CASE     (							lowerCamelCase__   ):





							@staticmethod
							def   UpperCamelCase_   (				__lowercase						:						ArgumentParser		):

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

											# new system: git-based repo system
											__a					       =						parser.add_parser(
											    """repo""" ,			help="""Deprecated: use `huggingface-cli` instead. Commands to interact with your huggingface.co repos.""" ,			)
											__a					       =						repo_parser.add_subparsers(
											    help="""Deprecated: use `huggingface-cli` instead. huggingface.co repos related commands"""		)
											__a					       =						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=__lowercase ,			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=__lowercase ,			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 __lowercase		: RepoCreateCommand(__lowercase		)		)






class 				SCREAMING_SNAKE_CASE     :
							__lowerCamelCase		:		int      ='\u001b[1m'
							__lowerCamelCase		:		List[str]      ='\u001b[31m'
							__lowerCamelCase		:		Any      ='\u001b[90m'
							__lowerCamelCase		:		Any      ='\u001b[0m'





							@classmethod
							def   UpperCamelCase_   (				cls						:						List[str] ,			__lowercase						:						int		):

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





							@classmethod
							def   UpperCamelCase_   (				cls						:						str ,			__lowercase						:						List[Any]		):

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







							@classmethod
							def   UpperCamelCase_   (				cls						:						List[str] ,			__lowercase						:						Tuple		):

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



def 					lowerCAmelCase__  (							_SCREAMING_SNAKE_CASE    :     List[List[Union[str, int]]]			,       _SCREAMING_SNAKE_CASE    :     List[str]      ):
				"""simple docstring"""







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






class 				SCREAMING_SNAKE_CASE     :





							def __init__(				self						:						str ,			__lowercase						:						str		):

											'''simple docstring'''
											__a					       =						args






class 				SCREAMING_SNAKE_CASE     (							lowerCamelCase__   ):





							def   UpperCamelCase_   (				self						:						Dict		):

											'''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 				SCREAMING_SNAKE_CASE     (							lowerCamelCase__   ):





							def   UpperCamelCase_   (				self						:						int		):

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






class 				SCREAMING_SNAKE_CASE     (							lowerCamelCase__   ):





							def   UpperCamelCase_   (				self						:						Optional[int]		):

											'''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 				SCREAMING_SNAKE_CASE     (							lowerCamelCase__   ):





							def   UpperCamelCase_   (				self						:						Any		):

											'''simple docstring'''
											print(
											    ANSI.red(
											        """WARNING! Managing repositories through transformers-cli is deprecated. """
											        """Please use `huggingface-cli` instead."""		)		)
											__a					       =						HfFolder.get_token()
											if token is None:
															print("""Not logged in"""		)
															exit(1		)
											try:
															__a					       =						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:
															__a					       =						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(""""""		)

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

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





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


lowerCamelCase__     =	{
    """configuration_oneformer""": ["""ONEFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP""", """OneFormerConfig"""],
    """processing_oneformer""": ["""OneFormerProcessor"""],
}

try:
						if not is_vision_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowerCamelCase__     =	["""OneFormerImageProcessor"""]

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowerCamelCase__     =	[
						    """ONEFORMER_PRETRAINED_MODEL_ARCHIVE_LIST""",
						    """OneFormerForUniversalSegmentation""",
						    """OneFormerModel""",
						    """OneFormerPreTrainedModel""",
						]

if TYPE_CHECKING:
						from .configuration_oneformer import ONEFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, OneFormerConfig
						from .processing_oneformer import OneFormerProcessor

						try:
												if not is_vision_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .image_processing_oneformer import OneFormerImageProcessor
						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_oneformer import (
												    ONEFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
												    OneFormerForUniversalSegmentation,
												    OneFormerModel,
												    OneFormerPreTrainedModel,
												)


else:
						import sys

						lowerCamelCase__     =	_LazyModule(__name__, globals()["""__file__"""], _import_structure)
