





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 		snake_case_      (       SCREAMING_SNAKE_CASE__	):







	'''simple docstring'''




	@staticmethod
	def       UpperCAmelCase (	__lowerCamelCase       :    List[str]      )					->   Dict:

			'''simple docstring'''




			__lowercase					=    parser.add_parser('login'				,			help='Log in using the same credentials as on huggingface.co'      )
			login_parser.set_defaults(func=lambda __lowerCamelCase      : LoginCommand(__lowerCamelCase      )      )
			__lowercase					=    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      )      )
			__lowercase					=    parser.add_parser('logout'				,			help='Log out'      )
			logout_parser.set_defaults(func=lambda __lowerCamelCase      : LogoutCommand(__lowerCamelCase      )      )

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







	'''simple docstring'''
	__UpperCamelCase        =		'''\u001b[1m'''
	__UpperCamelCase        =		'''\u001b[31m'''
	__UpperCamelCase        =		'''\u001b[90m'''
	__UpperCamelCase        =		'''\u001b[0m'''




	@classmethod
	def       UpperCAmelCase (	cls       :    Dict				,			__lowerCamelCase       :    str      )					->   Union[str, Any]:

			'''simple docstring'''




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




	@classmethod
	def       UpperCAmelCase (	cls       :    Tuple				,			__lowerCamelCase       :    List[str]      )					->   List[Any]:

			'''simple docstring'''




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






	@classmethod
	def       UpperCAmelCase (	cls       :    Optional[Any]				,			__lowerCamelCase       :    List[str]      )					->   List[str]:

			'''simple docstring'''




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





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

class 		snake_case_      :







	'''simple docstring'''




	def __init__(	self       :    Union[str, Any]				,			__lowerCamelCase       :    str      )					->   Optional[Any]:

			'''simple docstring'''




			__lowercase					=    args





class 		snake_case_      (       SCREAMING_SNAKE_CASE__	):







	'''simple docstring'''




	def       UpperCAmelCase (	self       :    List[str]      )					->   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 		snake_case_      (       SCREAMING_SNAKE_CASE__	):







	'''simple docstring'''




	def       UpperCAmelCase (	self       :    List[Any]      )					->   int:

			'''simple docstring'''




			print(
			    ANSI.red(
			        'WARNING! `transformers-cli whoami` is deprecated and will be removed in v5. Please use '
			        '`huggingface-cli whoami` instead.'      )      )
			__lowercase					=    HfFolder.get_token()
			if token is None:
					print('Not logged in'      )
					exit()
			try:
					__lowercase	,			__lowercase					=    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 		snake_case_      (       SCREAMING_SNAKE_CASE__	):







	'''simple docstring'''




	def       UpperCAmelCase (	self       :    int      )					->   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 		snake_case_      (       SCREAMING_SNAKE_CASE__	):







	'''simple docstring'''




	def       UpperCAmelCase (	self       :    Optional[Any]      )					->   int:

			'''simple docstring'''




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

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

			if not self.args.yes:
					__lowercase					=    input('Proceed? [Y/n] '      ).lower()
					if not (choice == "" or choice == "y" or choice == "yes"):
							print('Abort'      )
							exit()
			try:
					__lowercase					=    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(''      )












import torch
import torch.nn.functional as F

from diffusers import VQDiffusionScheduler

from .test_schedulers import SchedulerCommonTest

class 		snake_case_      (       UpperCAmelCase_	):







	'''simple docstring'''
	__UpperCamelCase        =		(VQDiffusionScheduler,)




	def       UpperCAmelCase (	self       :    int				,			**__lowerCamelCase       :    List[Any]      )					->   Tuple:

			'''simple docstring'''




			__lowercase					=    {
			    'num_vec_classes': 4_097,
			    'num_train_timesteps': 100,
			}

			config.update(**__lowerCamelCase      )
			return config




	def       UpperCAmelCase (	self       :    List[Any]				,			__lowerCamelCase       :    List[str]      )					->   Tuple:

			'''simple docstring'''




			__lowercase					=    4
			__lowercase					=    8
			__lowercase					=    8

			__lowercase					=    torch.randint(0				,			__lowerCamelCase				,			(batch_size, height * width)      )

			return sample




	@property
	def       UpperCAmelCase (	self       :    Any      )					->   List[Any]:

			'''simple docstring'''




			assert False




	def       UpperCAmelCase (	self       :    Union[str, Any]				,			__lowerCamelCase       :    str      )					->   Dict:

			'''simple docstring'''




			def model(__lowerCamelCase       :    Dict				,			__lowerCamelCase       :    Optional[Any]				,			*__lowerCamelCase       :    List[Any]      ):
					__lowercase	,			__lowercase					=    sample.shape
					__lowercase					=    torch.rand((batch_size, num_vec_classes - 1, num_latent_pixels)      )
					__lowercase					=    F.log_softmax(logits.double()				,			dim=1      ).float()
					return return_value

			return model




	def       UpperCAmelCase (	self       :    Dict      )					->   List[Any]:

			'''simple docstring'''




			for timesteps in [2, 5, 100, 1_000]:
					self.check_over_configs(num_train_timesteps=__lowerCamelCase      )




	def       UpperCAmelCase (	self       :    Optional[Any]      )					->   int:

			'''simple docstring'''




			for num_vec_classes in [5, 100, 1_000, 4_000]:
					self.check_over_configs(num_vec_classes=__lowerCamelCase      )




	def       UpperCAmelCase (	self       :    Any      )					->   List[Any]:

			'''simple docstring'''




			for t in [0, 50, 99]:
					self.check_over_forward(time_step=__lowerCamelCase      )






	def       UpperCAmelCase (	self       :    str      )					->   Optional[int]:

			'''simple docstring'''




			pass




