



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					(      A_):







							'''simple docstring'''






							@staticmethod
							def _a					(							a_						):
											a__ 					=						parser.add_parser("""login"""     ,     help="""Log in using the same credentials as on huggingface.co"""						)
											login_parser.set_defaults(func=lambda a_						: LoginCommand(_A						)						)
											a__ 					=						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						)						)
											a__ 					=						parser.add_parser("""logout"""     ,     help="""Log out"""						)
											logout_parser.set_defaults(func=lambda a_						: LogoutCommand(_A						)						)

											# 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=_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        __snake_case					:







							'''simple docstring'''






							UpperCamelCase__ :					int			   =    "\u001b[1m"
							UpperCamelCase__ :					Dict			   =    "\u001b[31m"
							UpperCamelCase__ :					Dict			   =    "\u001b[90m"
							UpperCamelCase__ :					Union[str, Any]			   =    "\u001b[0m"


							@classmethod
							def _a					(							cls     ,     a_						):
											return F'''{cls._bold}{s}{cls._reset}'''


							@classmethod
							def _a					(							cls     ,     a_						):
											return F'''{cls._bold}{cls._red}{s}{cls._reset}'''







							@classmethod
							def _a					(							cls     ,     a_						):
											return F'''{cls._gray}{s}{cls._reset}'''




def 	A_					(		__a   : List[Any]       ,						__a   : Any						):

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

class        __snake_case					:







							'''simple docstring'''






							def __init__(							self     ,     a_						):
											a__ 					=						args




class        __snake_case					(      A_):







							'''simple docstring'''






							def _a					(							self						):
											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					(      A_):







							'''simple docstring'''






							def _a					(							self						):
											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(_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        __snake_case					(      A_):







							'''simple docstring'''






							def _a					(							self						):
											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					(      A_):







							'''simple docstring'''






							def _a					(							self						):
											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(_A						)
											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(_A						)}'''						)

											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(_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 copy
from typing import Dict

from ...generation.configuration_utils import GenerationConfig
from ...utils import logging


_A  					= logging.get_logger(__name__)







class      lowerCamelCase		(  A_  ):
     UpperCAmelCase__				:							Tuple           =		"semantic"





     def __init__(self      :    Dict				,    _A      :    Optional[Any]=1_0_0_0_0				,    _A      :    List[Any]=True				,    _A      :    Any=7_6_8				,    _A      :    Union[str, Any]=False				,    _A      :    List[Any]=False				,    _A      :    Union[str, Any]=False				,    _A      :    Union[str, Any]=False				,    _A      :    str=0.7				,    _A      :    Optional[int]=True				,    _A      :    Any=1_0_0_4_8				,    _A      :    Optional[int]=1_2_9_5_9_5				,    _A      :    Union[str, Any]=1_2_9_5_9_9				,    _A      :    Any=1_0_0_0_0				,    _A      :    str=2_5_6				,    _A      :    int=49.9				,    **_A      :    Union[str, Any]				,    )						->						Any:
         super().__init__(
             temperature=_A				,    do_sample=_A				,    eos_token_id=_A				,    renormalize_logits=_A				,    max_new_tokens=_A				,    output_scores=_A				,    return_dict_in_generate=_A				,    output_hidden_states=_A				,    output_attentions=_A				,    **_A				,    )

         snake_case      =					text_encoding_offset
         snake_case      =					text_pad_token
         snake_case      =					eos_token_id
         snake_case      =					semantic_infer_token
         snake_case      =					semantic_vocab_size
         snake_case      =					max_input_semantic_length
         snake_case      =					semantic_rate_hz







class      lowerCamelCase		(  A_  ):
     UpperCAmelCase__				:							List[Any]           =		"coarse_acoustics"





     def __init__(self      :    Any				,    _A      :    Union[str, Any]=True				,    _A      :    List[Any]=False				,    _A      :    Any=False				,    _A      :    Union[str, Any]=False				,    _A      :    Optional[Any]=False				,    _A      :    str=0.7				,    _A      :    int=True				,    _A      :    List[str]=1_2_0_4_8				,    _A      :    Optional[int]=7_5				,    _A      :    Any=2				,    _A      :    Optional[Any]=1_2_0_5_0				,    _A      :    Tuple=2_5_6				,    _A      :    int = 6_3_0				,    _A      :    int = 6_0				,    **_A      :    int				,    )						->						Union[str, Any]:
         super().__init__(
             temperature=_A				,    do_sample=_A				,    renormalize_logits=_A				,    output_scores=_A				,    return_dict_in_generate=_A				,    output_hidden_states=_A				,    output_attentions=_A				,    **_A				,    )

         snake_case      =					coarse_semantic_pad_token
         snake_case      =					coarse_rate_hz
         snake_case      =					n_coarse_codebooks
         snake_case      =					coarse_infer_token
         snake_case      =					max_coarse_input_length
         snake_case      =					max_coarse_history
         snake_case      =					sliding_window_len







class      lowerCamelCase		(  A_  ):
     UpperCAmelCase__				:							int           =		"fine_acoustics"





     def __init__(self      :    Tuple				,    _A      :    Optional[int]=0.5				,    _A      :    List[str]=5_1_2				,    _A      :    Union[str, Any]=1_0_2_4				,    _A      :    Tuple=8				,    **_A      :    Tuple				,    )						->						Tuple:
         super().__init__(temperature=_A   )

         snake_case      =					max_fine_history_length
         snake_case      =					max_fine_input_length
         snake_case      =					n_fine_codebooks







class      lowerCamelCase		(  A_  ):
     UpperCAmelCase__				:							Optional[Any]           =		"bark"
     UpperCAmelCase__				:							Union[str, Any]           =		True





     def __init__(self      :    Union[str, Any]				,    _A      :    Dict = None				,    _A      :    Dict = None				,    _A      :    Dict = None				,    _A      :    Optional[int]=2_4_0_0_0				,    _A      :    Any=1_0_2_4				,    **_A      :    List[str]				,    )						->						Optional[Any]:
         if semantic_config is None:
             snake_case      =					{}
             logger.info("semantic_config is None. initializing the semantic model with default values."   )

         if coarse_acoustics_config is None:
             snake_case      =					{}
             logger.info("coarse_acoustics_config is None. initializing the coarse model with default values."   )

         if fine_acoustics_config is None:
             snake_case      =					{}
             logger.info("fine_acoustics_config is None. initializing the fine model with default values."   )

         snake_case      =					BarkSemanticGenerationConfig(**_A   )
         snake_case      =					BarkCoarseGenerationConfig(**_A   )
         snake_case      =					BarkFineGenerationConfig(**_A   )

         snake_case      =					sample_rate
         snake_case      =					codebook_size





     @classmethod
     def 		UpperCAmelCase(cls      :    List[Any]				,    _A      :    BarkSemanticGenerationConfig				,    _A      :    BarkCoarseGenerationConfig				,    _A      :    BarkFineGenerationConfig				,    **_A      :    Optional[int]				,    )						->						Union[str, Any]:
         return cls(
             semantic_config=semantic_config.to_dict()				,    coarse_acoustics_config=coarse_acoustics_config.to_dict()				,    fine_acoustics_config=fine_acoustics_config.to_dict()				,    **_A				,    )





     def 		UpperCAmelCase(self      :    List[str]   )						->						int:
         snake_case      =					copy.deepcopy(self.__dict__   )

         snake_case      =					self.semantic_config.to_dict()
         snake_case      =					self.coarse_acoustics_config.to_dict()
         snake_case      =					self.fine_acoustics_config.to_dict()

         snake_case      =					self.__class__.model_type
         return output

