
'''simple docstring'''







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_fnet import FNetTokenizer
else:
							lowercase					:							Tuple   =      None

lowercase					:							int   =      logging.get_logger(__name__)
lowercase					:							List[Any]   =      {"vocab_file": "spiece.model", "tokenizer_file": "tokenizer.json"}

lowercase					:							str   =      {
    "vocab_file": {
        "google/fnet-base": "https://huggingface.co/google/fnet-base/resolve/main/spiece.model",
        "google/fnet-large": "https://huggingface.co/google/fnet-large/resolve/main/spiece.model",
    },
    "tokenizer_file": {
        "google/fnet-base": "https://huggingface.co/google/fnet-base/resolve/main/tokenizer.json",
        "google/fnet-large": "https://huggingface.co/google/fnet-large/resolve/main/tokenizer.json",
    },
}

lowercase					:							Optional[Any]   =      {
    "google/fnet-base": 512,
    "google/fnet-large": 512,
}

lowercase					:							Any   =      "▁"


class 		__UpperCAmelCase   (      _lowerCamelCase		):
							__lowercase   	= VOCAB_FILES_NAMES
							__lowercase   	= PRETRAINED_VOCAB_FILES_MAP
							__lowercase   	= PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							__lowercase   	= ["""input_ids""", """token_type_ids"""]
							__lowercase   	= FNetTokenizer


							def __init__( self					,     lowerCAmelCase_=None					,     lowerCAmelCase_=None					,     lowerCAmelCase_=False					,     lowerCAmelCase_=True					,     lowerCAmelCase_=True					,     lowerCAmelCase_="<unk>"					,     lowerCAmelCase_="[SEP]"					,     lowerCAmelCase_="<pad>"					,     lowerCAmelCase_="[CLS]"					,     lowerCAmelCase_="[MASK]"					,     **lowerCAmelCase_					,     ):





								"""simple docstring"""






								_snake_case     		=	(
								    AddedToken(__A					,     lstrip=__A					,     rstrip=__A					,     normalized=__A						)
								    if isinstance(__A					,     __A						)
								    else mask_token
								)

								super().__init__(
								    __A					,     tokenizer_file=__A					,     do_lower_case=__A					,     remove_space=__A					,     keep_accents=__A					,     unk_token=__A					,     sep_token=__A					,     pad_token=__A					,     cls_token=__A					,     mask_token=__A					,     **__A					,     )

								_snake_case     		=	do_lower_case
								_snake_case     		=	remove_space
								_snake_case     		=	keep_accents
								_snake_case     		=	vocab_file
								_snake_case     		=	False if not self.vocab_file else True


							def 				lowerCamelCase       ( self					,     lowerCAmelCase_					,     lowerCAmelCase_ = None						):





								"""simple docstring"""






								_snake_case     		=	[self.sep_token_id]
								_snake_case     		=	[self.cls_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 				lowerCamelCase       ( self					,     lowerCAmelCase_					,     lowerCAmelCase_ = None						):





								"""simple docstring"""






								_snake_case     		=	[self.sep_token_id]
								_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 				lowerCamelCase       ( self					,     lowerCAmelCase_					,     lowerCAmelCase_ = None						):





								"""simple docstring"""






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

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

								return (out_vocab_file,)



'''simple docstring'''







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


lowercase					:							int   =      {
    "configuration_mask2former": [
        "MASK2FORMER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "Mask2FormerConfig",
    ],
}

try:
					if not is_vision_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowercase					:							Optional[int]   =      ["Mask2FormerImageProcessor"]

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowercase					:							Optional[Any]   =      [
					    "MASK2FORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
					    "Mask2FormerForUniversalSegmentation",
					    "Mask2FormerModel",
					    "Mask2FormerPreTrainedModel",
					]

if TYPE_CHECKING:
					from .configuration_maskaformer import MASK2FORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, MaskaFormerConfig

					try:
										if not is_vision_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .image_processing_maskaformer import MaskaFormerImageProcessor

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_maskaformer import (
										    MASK2FORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
										    MaskaFormerForUniversalSegmentation,
										    MaskaFormerModel,
										    MaskaFormerPreTrainedModel,
										)


else:
					import sys

					lowercase					:							int   =      _LazyModule(__name__, globals()["__file__"], _import_structure)

