


from typing import Dict, List, Optional

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


lowerCAmelCase__      		= logging.get_logger(__name__)


lowerCAmelCase__      		= {
    'nielsr/canine-s': 20_48,
}

# Unicode defines 1,114,112 total “codepoints”
lowerCAmelCase__      		= 1_11_41_12

# Below: Constants defining canonical codepoints for special, pseudo-characters.
# Copied from https://github.com/google-research/language/blob/master/language/canine/special_codepoints.py
lowerCAmelCase__      		= 0

lowerCAmelCase__      		= 0xE000
lowerCAmelCase__      		= 0xE001
lowerCAmelCase__      		= 0xE002
lowerCAmelCase__      		= 0xE003
lowerCAmelCase__      		= 0xE004

# Maps special codepoints to human-readable names.
lowerCAmelCase__      		= {
    # Special symbols are represented using codepoints values that are valid,
    # but designated as "Private Use", meaning that they will never be assigned
    # characters by the Unicode Consortium, and are thus safe for use here.
    #
    # NOTE: Do *NOT* add any sort of [UNK_CHAR] here. They are explicitly
    # excluded and should fail with a hard error.
    CLS: "[CLS]",
    SEP: "[SEP]",
    BOS: "[BOS]",
    MASK: "[MASK]",
    PAD: "[PAD]",
    RESERVED: "[RESERVED]",
}

# Maps special codepoint human-readable names to their codepoint values.
lowerCAmelCase__      		= {name: codepoint for codepoint, name in SPECIAL_CODEPOINTS.items()}







class      lowerCAmelCase__       (				a):




     '''simple docstring'''
     __SCREAMING_SNAKE_CASE  			= PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES


     def __init__(						self ,						__lowerCamelCase=chr(__lowerCamelCase) ,						__lowerCamelCase=chr(__lowerCamelCase) ,						__lowerCamelCase=chr(__lowerCamelCase) ,						__lowerCamelCase=chr(__lowerCamelCase) ,						__lowerCamelCase=chr(__lowerCamelCase) ,						__lowerCamelCase=chr(__lowerCamelCase) ,						__lowerCamelCase=False ,						__lowerCamelCase=2_0_4_8 ,						**__lowerCamelCase ,						)			->				Optional[Any]:
            _A      :       Tuple				    = AddedToken(__lowerCamelCase ,						lstrip=__lowerCamelCase ,						rstrip=__lowerCamelCase) if isinstance(__lowerCamelCase ,						__lowerCamelCase) else bos_token
            _A      :       Tuple				    = AddedToken(__lowerCamelCase ,						lstrip=__lowerCamelCase ,						rstrip=__lowerCamelCase) if isinstance(__lowerCamelCase ,						__lowerCamelCase) else eos_token
            _A      :       int				    = AddedToken(__lowerCamelCase ,						lstrip=__lowerCamelCase ,						rstrip=__lowerCamelCase) if isinstance(__lowerCamelCase ,						__lowerCamelCase) else sep_token
            _A      :       Optional[Any]				    = AddedToken(__lowerCamelCase ,						lstrip=__lowerCamelCase ,						rstrip=__lowerCamelCase) if isinstance(__lowerCamelCase ,						__lowerCamelCase) else cls_token
            _A      :       Optional[Any]				    = AddedToken(__lowerCamelCase ,						lstrip=__lowerCamelCase ,						rstrip=__lowerCamelCase) if isinstance(__lowerCamelCase ,						__lowerCamelCase) else pad_token

            # Mask token behave like a normal word, i.e. include the space before it
            _A      :       List[Any]				    = AddedToken(__lowerCamelCase ,						lstrip=__lowerCamelCase ,						rstrip=__lowerCamelCase) if isinstance(__lowerCamelCase ,						__lowerCamelCase) else mask_token

            super().__init__(
                bos_token=__lowerCamelCase ,						eos_token=__lowerCamelCase ,						sep_token=__lowerCamelCase ,						cls_token=__lowerCamelCase ,						pad_token=__lowerCamelCase ,						mask_token=__lowerCamelCase ,						add_prefix_space=__lowerCamelCase ,						model_max_length=__lowerCamelCase ,						**__lowerCamelCase ,						)

            # Creates a mapping for looking up the IDs of special symbols.
            _A      :       Dict[str, int]				    = {}
            for codepoint, name in SPECIAL_CODEPOINTS.items():
                   _A      :       Union[str, Any]				    = codepoint

            # Creates a mapping for looking up the string forms of special symbol IDs.
            _A      :       Dict[int, str]				    = {
                codepoint: name for name, codepoint in self._special_codepoints.items()
            }

            _A      :       Dict				    = UNICODE_VOCAB_SIZE
            _A      :       Optional[int]				    = len(self._special_codepoints)


     @property
     def  _lowerCamelCase (						self)			->				int:
            return self._unicode_vocab_size


     def  _lowerCamelCase (						self ,						__lowerCamelCase)			->				List[str]:
            return list(__lowerCamelCase)


     def  _lowerCamelCase (						self ,						__lowerCamelCase)			->				int:
            try:
                   return ord(__lowerCamelCase)
            except TypeError:
                   raise ValueError(F"invalid token: '{token}'")


     def  _lowerCamelCase (						self ,						__lowerCamelCase)			->				str:
            try:
                   if index in SPECIAL_CODEPOINTS:
                          return SPECIAL_CODEPOINTS[index]
                   return chr(__lowerCamelCase)
            except TypeError:
                   raise ValueError(F"invalid id: {index}")


     def  _lowerCamelCase (						self ,						__lowerCamelCase)			->				Optional[int]:
            return "".join(__lowerCamelCase)


     def  _lowerCamelCase (						self ,						__lowerCamelCase ,						__lowerCamelCase = None)			->				List[int]:
            _A      :       Tuple				    = [self.sep_token_id]
            _A      :       int				    = [self.cls_token_id]

            _A      :       Any				    = cls + token_ids_a + sep
            if token_ids_a is not None:
                   result += token_ids_a + sep
            return result


     def  _lowerCamelCase (						self ,						__lowerCamelCase ,						__lowerCamelCase = None ,						__lowerCamelCase = False)			->				List[int]:
            if already_has_special_tokens:
                   return super().get_special_tokens_mask(
                       token_ids_a=__lowerCamelCase ,						token_ids_a=__lowerCamelCase ,						already_has_special_tokens=__lowerCamelCase)

            _A      :       Optional[Any]				    = [1] + ([0] * len(__lowerCamelCase)) + [1]
            if token_ids_a is not None:
                   result += ([0] * len(__lowerCamelCase)) + [1]
            return result


     def  _lowerCamelCase (						self ,						__lowerCamelCase ,						__lowerCamelCase = None)			->				List[int]:
            _A      :       Optional[Any]				    = [self.sep_token_id]
            _A      :       List[str]				    = [self.cls_token_id]

            _A      :       Tuple				    = len(cls + token_ids_a + sep) * [0]
            if token_ids_a is not None:
                   result += len(token_ids_a + sep) * [1]
            return result


     def  _lowerCamelCase (						self ,						__lowerCamelCase ,						__lowerCamelCase = None)			->				Union[str, Any]:
            return ()





'''simple docstring'''


_lowerCamelCase	:       int      	=	"0.21.0"

from .accelerator import Accelerator
from .big_modeling import (
    cpu_offload,
    cpu_offload_with_hook,
    disk_offload,
    dispatch_model,
    init_empty_weights,
    init_on_device,
    load_checkpoint_and_dispatch,
)
from .data_loader import skip_first_batches
from .launchers import debug_launcher, notebook_launcher
from .state import PartialState
from .utils import (
    DeepSpeedPlugin,
    DistributedDataParallelKwargs,
    DistributedType,
    FullyShardedDataParallelPlugin,
    GradScalerKwargs,
    InitProcessGroupKwargs,
    find_executable_batch_size,
    infer_auto_device_map,
    is_rich_available,
    load_checkpoint_in_model,
    synchronize_rng_states,
)


if is_rich_available():
   from .utils import rich

