



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  (							lowerCamelCase__   ):


			'''simple docstring'''

			@staticmethod
			def UpperCamelCase__ (							lowerCAmelCase__					:			ArgumentParser						):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE	:		str   	=		parser.add_parser("""login"""							,					help="""Log in using the same credentials as on huggingface.co"""						)
					login_parser.set_defaults(func=lambda lowerCAmelCase__						: LoginCommand(lowerCAmelCase__						)						)
					__SCREAMING_SNAKE_CASE	:		Dict   	=		parser.add_parser("""whoami"""							,					help="""Find out which huggingface.co account you are logged in as."""						)
					whoami_parser.set_defaults(func=lambda lowerCAmelCase__						: WhoamiCommand(lowerCAmelCase__						)						)
					__SCREAMING_SNAKE_CASE	:		List[Any]   	=		parser.add_parser("""logout"""							,					help="""Log out"""						)
					logout_parser.set_defaults(func=lambda lowerCAmelCase__						: LogoutCommand(lowerCAmelCase__						)						)

					# new system: git-based repo system
					__SCREAMING_SNAKE_CASE	:		List[str]   	=		parser.add_parser(
					    """repo"""							,					help="""Deprecated: use `huggingface-cli` instead. Commands to interact with your huggingface.co repos."""							,					)
					__SCREAMING_SNAKE_CASE	:		str   	=		repo_parser.add_subparsers(
					    help="""Deprecated: use `huggingface-cli` instead. huggingface.co repos related commands"""						)
					__SCREAMING_SNAKE_CASE	:		Union[str, Any]   	=		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=lowerCAmelCase__							,					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=lowerCAmelCase__							,					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 lowerCAmelCase__						: RepoCreateCommand(lowerCAmelCase__						)						)






class 						_UpperCamelCase  :


			'''simple docstring'''

			_A				:		Dict         =		'''\u001b[1m'''
			_A				:		Tuple         =		'''\u001b[31m'''
			_A				:		Union[str, Any]         =		'''\u001b[90m'''
			_A				:		str         =		'''\u001b[0m'''

			@classmethod
			def UpperCamelCase__ (							cls					:			Dict							,					lowerCAmelCase__					:			int						):





					"""simple docstring"""






					return F"{cls._bold}{s}{cls._reset}"

			@classmethod
			def UpperCamelCase__ (							cls					:			Dict							,					lowerCAmelCase__					:			Tuple						):





					"""simple docstring"""






					return F"{cls._bold}{cls._red}{s}{cls._reset}"



			@classmethod
			def UpperCamelCase__ (							cls					:			Dict							,					lowerCAmelCase__					:			Optional[int]						):





					"""simple docstring"""






					return F"{cls._gray}{s}{cls._reset}"


def     lowerCAmelCase_       (     _lowerCamelCase:       List[List[Union[str, int]]]	,				_lowerCamelCase:       List[str] ):
		__SCREAMING_SNAKE_CASE	:		Any   	=		[max(len(str(_lowerCamelCase ) ) for x in col ) for col in zip(*_lowerCamelCase	,				_lowerCamelCase )]
		__SCREAMING_SNAKE_CASE	:		Any   	=		("""{{:{}}} """ * len(_lowerCamelCase )).format(*_lowerCamelCase )
		__SCREAMING_SNAKE_CASE	:		List[str]   	=		[]
		lines.append(row_format.format(*_lowerCamelCase ) )
		lines.append(row_format.format(*["""-""" * w for w in col_widths] ) )
		for row in rows:
				lines.append(row_format.format(*_lowerCamelCase ) )
		return "\n".join(_lowerCamelCase )






class 						_UpperCamelCase  :


			'''simple docstring'''

			def __init__(							self					:			Optional[int]							,					lowerCAmelCase__					:			List[str]						):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE	:		int   	=		args






class 						_UpperCamelCase  (							lowerCamelCase__   ):


			'''simple docstring'''

			def UpperCamelCase__ (							self					:			List[Any]						):





					"""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  (							lowerCamelCase__   ):


			'''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."""						)						)
					__SCREAMING_SNAKE_CASE	:		Tuple   	=		HfFolder.get_token()
					if token is None:
							print("""Not logged in"""						)
							exit()
					try:
							__SCREAMING_SNAKE_CASE	:		Optional[Any]   	=		whoami(lowerCAmelCase__						)
							print(lowerCAmelCase__						)
							if orgs:
									print(ANSI.bold("""orgs: """						)							,					""",""".join(lowerCAmelCase__						)						)
					except HTTPError as e:
							print(lowerCAmelCase__						)
							print(ANSI.red(e.response.text						)						)
							exit(1						)






class 						_UpperCamelCase  (							lowerCamelCase__   ):


			'''simple docstring'''

			def UpperCamelCase__ (							self					:			str						):





					"""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  (							lowerCamelCase__   ):


			'''simple docstring'''

			def UpperCamelCase__ (							self					:			Dict						):





					"""simple docstring"""






					print(
					    ANSI.red(
					        """WARNING! Managing repositories through transformers-cli is deprecated. """
					        """Please use `huggingface-cli` instead."""						)						)
					__SCREAMING_SNAKE_CASE	:		Optional[Any]   	=		HfFolder.get_token()
					if token is None:
							print("""Not logged in"""						)
							exit(1						)
					try:
							__SCREAMING_SNAKE_CASE	:		Optional[int]   	=		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:
							__SCREAMING_SNAKE_CASE	:		Union[str, Any]   	=		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(""""""						)

					__SCREAMING_SNAKE_CASE	:		Optional[Any]   	=		whoami(lowerCAmelCase__						)
					__SCREAMING_SNAKE_CASE	:		List[Any]   	=		self.args.organization if self.args.organization is not None else user
					__SCREAMING_SNAKE_CASE	:		Tuple   	=		F"{namespace}/{self.args.name}"
					print(F"You are about to create {ANSI.bold(lowerCAmelCase__						)}"						)

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




'''simple docstring'''




import torch
import torch.nn.functional as F

from diffusers import VQDiffusionScheduler

from .test_schedulers import SchedulerCommonTest






class 						_UpperCamelCase  (							lowerCamelCase__   ):


			'''simple docstring'''

			_A				:		int         =		(VQDiffusionScheduler,)

			def UpperCamelCase__ (							self					:			List[str]							,					**lowerCAmelCase__					:			Dict						):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE	:		int   	=		{
					    """num_vec_classes""": 4_0_9_7,
					    """num_train_timesteps""": 1_0_0,
					}

					config.update(**lowerCAmelCase__						)
					return config

			def UpperCamelCase__ (							self					:			Dict							,					lowerCAmelCase__					:			int						):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE	:		Dict   	=		4
					__SCREAMING_SNAKE_CASE	:		Tuple   	=		8
					__SCREAMING_SNAKE_CASE	:		int   	=		8

					__SCREAMING_SNAKE_CASE	:		Dict   	=		torch.randint(0							,					lowerCAmelCase__							,					(batch_size, height * width)						)

					return sample

			@property
			def UpperCamelCase__ (							self					:			str						):





					"""simple docstring"""






					assert False

			def UpperCamelCase__ (							self					:			Dict							,					lowerCAmelCase__					:			str						):





					"""simple docstring"""






					def model(lowerCAmelCase__					:			Optional[Any]							,					lowerCAmelCase__					:			Any							,					*lowerCAmelCase__					:			Optional[int]						):
							__SCREAMING_SNAKE_CASE	,						__SCREAMING_SNAKE_CASE	:		Optional[int]   	=		sample.shape
							__SCREAMING_SNAKE_CASE	:		Optional[Any]   	=		torch.rand((batch_size, num_vec_classes - 1, num_latent_pixels)						)
							__SCREAMING_SNAKE_CASE	:		str   	=		F.log_softmax(logits.double()							,					dim=1						).float()
							return return_value

					return model

			def UpperCamelCase__ (							self					:			Optional[int]						):





					"""simple docstring"""






					for timesteps in [2, 5, 1_0_0, 1_0_0_0]:
							self.check_over_configs(num_train_timesteps=lowerCAmelCase__						)

			def UpperCamelCase__ (							self					:			int						):





					"""simple docstring"""






					for num_vec_classes in [5, 1_0_0, 1_0_0_0, 4_0_0_0]:
							self.check_over_configs(num_vec_classes=lowerCAmelCase__						)

			def UpperCamelCase__ (							self					:			Any						):





					"""simple docstring"""






					for t in [0, 5_0, 9_9]:
							self.check_over_forward(time_step=lowerCAmelCase__						)



			def UpperCamelCase__ (							self					:			List[Any]						):





					"""simple docstring"""






					pass