
"""simple docstring"""




from typing import List, Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_herbert import HerbertTokenizer


lowerCAmelCase__				=					logging.get_logger(__name__)

lowerCAmelCase__				=					{'vocab_file': 'vocab.json', 'merges_file': 'merges.txt', 'tokenizer_file': 'tokenizer.json'}

lowerCAmelCase__				=					{
    'vocab_file': {
        'allegro/herbert-base-cased': 'https://huggingface.co/allegro/herbert-base-cased/resolve/main/vocab.json'
    },
    'merges_file': {
        'allegro/herbert-base-cased': 'https://huggingface.co/allegro/herbert-base-cased/resolve/main/merges.txt'
    },
}

lowerCAmelCase__				=					{'allegro/herbert-base-cased': 514}
lowerCAmelCase__				=					{}





class 			snake_case  (				__lowercase ):
							UpperCAmelCase__      =   VOCAB_FILES_NAMES
							UpperCAmelCase__      =   PRETRAINED_VOCAB_FILES_MAP
							UpperCAmelCase__      =   PRETRAINED_INIT_CONFIGURATION
							UpperCAmelCase__      =   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							UpperCAmelCase__      =   HerbertTokenizer

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

									"""simple docstring"""







									super().__init__(
									    SCREAMING_SNAKE_CASE_							,							SCREAMING_SNAKE_CASE_							,							tokenizer_file=SCREAMING_SNAKE_CASE_							,							cls_token=SCREAMING_SNAKE_CASE_							,							unk_token=SCREAMING_SNAKE_CASE_							,							pad_token=SCREAMING_SNAKE_CASE_							,							mask_token=SCREAMING_SNAKE_CASE_							,							sep_token=SCREAMING_SNAKE_CASE_							,							**SCREAMING_SNAKE_CASE_							,							)

							def _lowercase       (self							,							SCREAMING_SNAKE_CASE_							,							SCREAMING_SNAKE_CASE_ = None     ):

									"""simple docstring"""







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

									return cls + token_ids_a + sep + token_ids_a + sep

							def _lowercase       (self							,							SCREAMING_SNAKE_CASE_							,							SCREAMING_SNAKE_CASE_ = None							,							SCREAMING_SNAKE_CASE_ = False     ):

									"""simple docstring"""







									if already_has_special_tokens:
											return super().get_special_tokens_mask(
											    token_ids_a=SCREAMING_SNAKE_CASE_							,							token_ids_a=SCREAMING_SNAKE_CASE_							,							already_has_special_tokens=SCREAMING_SNAKE_CASE_     )

									if token_ids_a is None:
											return [1] + ([0] * len(SCREAMING_SNAKE_CASE_     )) + [1]
									return [1] + ([0] * len(SCREAMING_SNAKE_CASE_     )) + [1] + ([0] * len(SCREAMING_SNAKE_CASE_     )) + [1]

							def _lowercase       (self							,							SCREAMING_SNAKE_CASE_							,							SCREAMING_SNAKE_CASE_ = None     ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_    			=			[self.sep_token_id]
									SCREAMING_SNAKE_CASE_    			=			[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     ) * [0] + len(token_ids_a + sep     ) * [1]







							def _lowercase       (self							,							SCREAMING_SNAKE_CASE_							,							SCREAMING_SNAKE_CASE_ = None     ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_    			=			self._tokenizer.model.save(SCREAMING_SNAKE_CASE_							,							name=SCREAMING_SNAKE_CASE_     )
									return tuple(SCREAMING_SNAKE_CASE_     )

"""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