

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

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


if is_sentencepiece_available():
 from .tokenization_reformer import ReformerTokenizer
else:
 _lowerCamelCase							=None


_lowerCamelCase							=logging.get_logger(__name__)


_lowerCamelCase							="▁"

_lowerCamelCase							={"vocab_file": "spiece.model", "tokenizer_file": "tokenizer.json"}

_lowerCamelCase							={
    "vocab_file": {
        "google/reformer-crime-and-punishment": (
            "https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/spiece.model"
        )
    },
    "tokenizer_file": {
        "google/reformer-crime-and-punishment": (
            "https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/tokenizer.json"
        )
    },
}

_lowerCamelCase							={
    "google/reformer-crime-and-punishment": 52_42_88,
}



class 						a_			(				__A	):



      """simple docstring"""







      __UpperCAmelCase     						= VOCAB_FILES_NAMES
      __UpperCAmelCase     						= PRETRAINED_VOCAB_FILES_MAP
      __UpperCAmelCase     						= PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      __UpperCAmelCase     						= ["input_ids", "attention_mask"]
      __UpperCAmelCase     						= ReformerTokenizer
      def __init__( self	:				Optional[Any]     ,snake_case	:				Tuple=None     ,snake_case	:				Tuple=None     ,snake_case	:				Optional[int]="</s>"     ,snake_case	:				Any="<unk>"     ,snake_case	:				List[Any]=[]     ,**snake_case	:				Union[str, Any]     ,):
           super().__init__(
               lowercase_     ,tokenizer_file=lowercase_     ,eos_token=lowercase_     ,unk_token=lowercase_     ,additional_special_tokens=lowercase_     ,**lowercase_     ,)

           SCREAMING_SNAKE_CASE 		=vocab_file
           SCREAMING_SNAKE_CASE 		=False if not self.vocab_file else True


      def 			_lowerCAmelCase	( self	:				List[Any]     ,snake_case	:				str     ,snake_case	:				Optional[str] = None							):
           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(lowercase_							):
                logger.error(f'Vocabulary path ({save_directory}) should be a directory'							)
                return
           SCREAMING_SNAKE_CASE 		=os.path.join(
               lowercase_     ,(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']							)

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

           return (out_vocab_file,)


import unittest
from pathlib import Path

from transformers import is_vision_available, load_tool
from transformers.testing_utils import get_tests_dir

from .test_tools_common import ToolTesterMixin


if is_vision_available():
      from PIL import Image



class     snake_case_			(						unittest.TestCase    ,__A			):






   def  __UpperCamelCase	( self							:	int    )   ->		Union[str, Any]:
       lowercase__					:  Any          =							load_tool("image-segmentation"    )
       self.tool.setup()
       lowercase__					:  Optional[int]          =							load_tool("image-segmentation"      ,		remote=lowercase_    )






   def  __UpperCamelCase	( self							:	Any    )   ->		Tuple:
       lowercase__					:  Any          =							Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO"    )    ) / "000000039769.png"    )
       lowercase__					:  Tuple          =							self.tool(lowercase_      ,		"cat"    )
       self.assertTrue(isinstance(lowercase_      ,		Image.Image    )    )






   def  __UpperCamelCase	( self							:	Optional[int]    )   ->		Dict:
       lowercase__					:  List[Any]          =							Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO"    )    ) / "000000039769.png"    )
       lowercase__					:  Optional[int]          =							self.remote_tool(lowercase_      ,		"cat"    )
       self.assertTrue(isinstance(lowercase_      ,		Image.Image    )    )






   def  __UpperCamelCase	( self							:	List[Any]    )   ->		Dict:
       lowercase__					:  Optional[Any]          =							Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO"    )    ) / "000000039769.png"    )
       lowercase__					:  int          =							self.tool(image=lowercase_      ,		label="cat"    )
       self.assertTrue(isinstance(lowercase_      ,		Image.Image    )    )







   def  __UpperCamelCase	( self							:	Dict    )   ->		List[Any]:
       lowercase__					:  Tuple          =							Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO"    )    ) / "000000039769.png"    )
       lowercase__					:  Union[str, Any]          =							self.remote_tool(image=lowercase_      ,		label="cat"    )
       self.assertTrue(isinstance(lowercase_      ,		Image.Image    )    )



