





import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
	from .tokenization_barthez import BarthezTokenizer
else:
	lowerCAmelCase_        =							None

lowerCAmelCase_        =							logging.get_logger(__name__)

lowerCAmelCase_        =							{'''vocab_file''': '''sentencepiece.bpe.model''', '''tokenizer_file''': '''tokenizer.json'''}

lowerCAmelCase_        =							{
    '''vocab_file''': {
        '''moussaKam/mbarthez''': '''https://huggingface.co/moussaKam/mbarthez/resolve/main/sentencepiece.bpe.model''',
        '''moussaKam/barthez''': '''https://huggingface.co/moussaKam/barthez/resolve/main/sentencepiece.bpe.model''',
        '''moussaKam/barthez-orangesum-title''': (
            '''https://huggingface.co/moussaKam/barthez-orangesum-title/resolve/main/sentencepiece.bpe.model'''
        ),
    },
    '''tokenizer_file''': {
        '''moussaKam/mbarthez''': '''https://huggingface.co/moussaKam/mbarthez/resolve/main/tokenizer.json''',
        '''moussaKam/barthez''': '''https://huggingface.co/moussaKam/barthez/resolve/main/tokenizer.json''',
        '''moussaKam/barthez-orangesum-title''': (
            '''https://huggingface.co/moussaKam/barthez-orangesum-title/resolve/main/tokenizer.json'''
        ),
    },
}

lowerCAmelCase_        =							{
    '''moussaKam/mbarthez''': 1_0_2_4,
    '''moussaKam/barthez''': 1_0_2_4,
    '''moussaKam/barthez-orangesum-title''': 1_0_2_4,
}

lowerCAmelCase_        =							'''▁'''



class    __lowerCAmelCase			(     _a	):
			lowerCamelCase_	:	Tuple			     = VOCAB_FILES_NAMES
			lowerCamelCase_	:	Tuple			     = PRETRAINED_VOCAB_FILES_MAP
			lowerCamelCase_	:	List[str]			     = PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			lowerCamelCase_	:	List[Any]			     = ['''input_ids''', '''attention_mask''']
			lowerCamelCase_	:	Union[str, Any]			     = BarthezTokenizer






			def __init__(self   ,				__magic_name__=None   ,				__magic_name__=None   ,				__magic_name__="<s>"   ,				__magic_name__="</s>"   ,				__magic_name__="</s>"   ,				__magic_name__="<s>"   ,				__magic_name__="<unk>"   ,				__magic_name__="<pad>"   ,				__magic_name__="<mask>"   ,				**__magic_name__   ,				)	->  str:


							'''simple docstring'''



							snake_case_		:       Any           =    AddedToken(__magic_name__   ,				lstrip=__magic_name__   ,				rstrip=__magic_name__       ) if isinstance(__magic_name__   ,				__magic_name__       ) else mask_token

							super().__init__(
							    __magic_name__   ,				tokenizer_file=__magic_name__   ,				bos_token=__magic_name__   ,				eos_token=__magic_name__   ,				unk_token=__magic_name__   ,				sep_token=__magic_name__   ,				cls_token=__magic_name__   ,				pad_token=__magic_name__   ,				mask_token=__magic_name__   ,				**__magic_name__   ,				)

							snake_case_		:       Tuple           =    vocab_file
							snake_case_		:       str           =    False if not self.vocab_file else True






			def      lowerCamelCase    (self   ,				__magic_name__   ,				__magic_name__ = None       )	->  List[int]:


							'''simple docstring'''



							if token_ids_a is None:
											return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
							snake_case_		:       Tuple           =    [self.cls_token_id]
							snake_case_		:       Dict           =    [self.sep_token_id]
							return cls + token_ids_a + sep + sep + token_ids_a + sep






			def      lowerCamelCase    (self   ,				__magic_name__   ,				__magic_name__ = None       )	->  List[int]:


							'''simple docstring'''



							snake_case_		:       List[Any]           =    [self.sep_token_id]
							snake_case_		:       int           =    [self.cls_token_id]

							if token_ids_a is None:
											return len(cls + token_ids_a + sep       ) * [0]
							return len(cls + token_ids_a + sep + sep + token_ids_a + sep       ) * [0]






			def      lowerCamelCase    (self   ,				__magic_name__   ,				__magic_name__ = None       )	->  Tuple[str]:


							'''simple docstring'''



							if not self.can_save_slow_tokenizer:
											raise ValueError(
											    '''Your fast tokenizer does not have the necessary information to save the vocabulary for a slow '''
											    '''tokenizer.'''       )

							if not os.path.isdir(__magic_name__       ):
											logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''       )
											return
							snake_case_		:       str           =    os.path.join(
							    __magic_name__   ,				(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']       )

							if os.path.abspath(self.vocab_file       ) != os.path.abspath(__magic_name__       ):
											copyfile(self.vocab_file   ,				__magic_name__       )

							return (out_vocab_file,)







'''simple docstring'''




from ..utils import (
    OptionalDependencyNotAvailable,
    is_flax_available,
    is_scipy_available,
    is_torch_available,
    is_torchsde_available,
)


try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 from ..utils.dummy_pt_objects import *  # noqa F403
else:
 from .scheduling_consistency_models import CMStochasticIterativeScheduler
 from .scheduling_ddim import DDIMScheduler
 from .scheduling_ddim_inverse import DDIMInverseScheduler
 from .scheduling_ddim_parallel import DDIMParallelScheduler
 from .scheduling_ddpm import DDPMScheduler
 from .scheduling_ddpm_parallel import DDPMParallelScheduler
 from .scheduling_deis_multistep import DEISMultistepScheduler
 from .scheduling_dpmsolver_multistep import DPMSolverMultistepScheduler
 from .scheduling_dpmsolver_multistep_inverse import DPMSolverMultistepInverseScheduler
 from .scheduling_dpmsolver_singlestep import DPMSolverSinglestepScheduler
 from .scheduling_euler_ancestral_discrete import EulerAncestralDiscreteScheduler
 from .scheduling_euler_discrete import EulerDiscreteScheduler
 from .scheduling_heun_discrete import HeunDiscreteScheduler
 from .scheduling_ipndm import IPNDMScheduler
 from .scheduling_k_dpm_2_ancestral_discrete import KDPMaAncestralDiscreteScheduler
 from .scheduling_k_dpm_2_discrete import KDPMaDiscreteScheduler
 from .scheduling_karras_ve import KarrasVeScheduler
 from .scheduling_pndm import PNDMScheduler
 from .scheduling_repaint import RePaintScheduler
 from .scheduling_sde_ve import ScoreSdeVeScheduler
 from .scheduling_sde_vp import ScoreSdeVpScheduler
 from .scheduling_unclip import UnCLIPScheduler
 from .scheduling_unipc_multistep import UniPCMultistepScheduler
 from .scheduling_utils import KarrasDiffusionSchedulers, SchedulerMixin
 from .scheduling_vq_diffusion import VQDiffusionScheduler

try:
 if not is_flax_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 from ..utils.dummy_flax_objects import *  # noqa F403
else:
 from .scheduling_ddim_flax import FlaxDDIMScheduler
 from .scheduling_ddpm_flax import FlaxDDPMScheduler
 from .scheduling_dpmsolver_multistep_flax import FlaxDPMSolverMultistepScheduler
 from .scheduling_karras_ve_flax import FlaxKarrasVeScheduler
 from .scheduling_lms_discrete_flax import FlaxLMSDiscreteScheduler
 from .scheduling_pndm_flax import FlaxPNDMScheduler
 from .scheduling_sde_ve_flax import FlaxScoreSdeVeScheduler
 from .scheduling_utils_flax import (
     FlaxKarrasDiffusionSchedulers,
     FlaxSchedulerMixin,
     FlaxSchedulerOutput,
     broadcast_to_shape_from_left,
 )


try:
 if not (is_torch_available() and is_scipy_available()):
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 from ..utils.dummy_torch_and_scipy_objects import *  # noqa F403
else:
 from .scheduling_lms_discrete import LMSDiscreteScheduler

try:
 if not (is_torch_available() and is_torchsde_available()):
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 from ..utils.dummy_torch_and_torchsde_objects import *  # noqa F403
else:
 from .scheduling_dpmsolver_sde import DPMSolverSDEScheduler

