


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__						:Tuple         =							None


lowerCAmelCase__						:Dict         =							logging.get_logger(__name__)


lowerCAmelCase__						:str         =							'''▁'''

lowerCAmelCase__						:Optional[Any]         =							{'''vocab_file''': '''spiece.model''', '''tokenizer_file''': '''tokenizer.json'''}

lowerCAmelCase__						:List[Any]         =							{
    '''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__						:Union[str, Any]         =							{
    '''google/reformer-crime-and-punishment''': 5_2_4_2_8_8,
}

class 	__a   (       UpperCAmelCase    ):
		_a			:						Optional[int]    			=			VOCAB_FILES_NAMES
		_a			:						List[str]    			=			PRETRAINED_VOCAB_FILES_MAP
		_a			:						Optional[Any]    			=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		_a			:						int    			=			['input_ids', 'attention_mask']
		_a			:						List[Any]    			=			ReformerTokenizer
		def __init__(    self    ,					_SCREAMING_SNAKE_CASE=None    ,					_SCREAMING_SNAKE_CASE=None    ,					_SCREAMING_SNAKE_CASE="</s>"    ,					_SCREAMING_SNAKE_CASE="<unk>"    ,					_SCREAMING_SNAKE_CASE=[]    ,					**_SCREAMING_SNAKE_CASE    ,					)				-> Tuple:




									"""simple docstring"""





									super().__init__(
									    _SCREAMING_SNAKE_CASE    ,					tokenizer_file=_SCREAMING_SNAKE_CASE    ,					eos_token=_SCREAMING_SNAKE_CASE    ,					unk_token=_SCREAMING_SNAKE_CASE    ,					additional_special_tokens=_SCREAMING_SNAKE_CASE    ,					**_SCREAMING_SNAKE_CASE    ,					)

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






		def 			UpperCAmelCase__       (    self    ,					_SCREAMING_SNAKE_CASE    ,					_SCREAMING_SNAKE_CASE = 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(_SCREAMING_SNAKE_CASE		):
																logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''		)
																return
									_UpperCAmelCase					=    os.path.join(
									    _SCREAMING_SNAKE_CASE    ,					(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']		)

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

									return (out_vocab_file,)




import unittest

from transformers import load_tool
from transformers.tools.agent_types import AGENT_TYPE_MAPPING

from .test_tools_common import ToolTesterMixin, output_types

class 	__a   (       unittest.TestCase					,   UpperCAmelCase    ):
		def 			UpperCAmelCase__       (    self		)				-> str:




									"""simple docstring"""





									_UpperCAmelCase					=    load_tool('translation'		)
									self.tool.setup()
									_UpperCAmelCase					=    load_tool('translation'    ,					remote=_SCREAMING_SNAKE_CASE		)
		def 			UpperCAmelCase__       (    self		)				-> Optional[int]:




									"""simple docstring"""





									_UpperCAmelCase					=    self.tool('Hey, what\'s up?'    ,					src_lang='English'    ,					tgt_lang='French'		)
									self.assertEqual(_SCREAMING_SNAKE_CASE    ,					'- Hé, comment ça va?'		)
		def 			UpperCAmelCase__       (    self		)				-> Tuple:




									"""simple docstring"""





									_UpperCAmelCase					=    self.remote_tool('Hey, what\'s up?'    ,					src_lang='English'    ,					tgt_lang='French'		)
									self.assertEqual(_SCREAMING_SNAKE_CASE    ,					'- Hé, comment ça va?'		)
		def 			UpperCAmelCase__       (    self		)				-> Optional[int]:




									"""simple docstring"""





									_UpperCAmelCase					=    self.tool(text='Hey, what\'s up?'    ,					src_lang='English'    ,					tgt_lang='French'		)
									self.assertEqual(_SCREAMING_SNAKE_CASE    ,					'- Hé, comment ça va?'		)
		def 			UpperCAmelCase__       (    self		)				-> int:




									"""simple docstring"""





									_UpperCAmelCase					=    self.remote_tool(text='Hey, what\'s up?'    ,					src_lang='English'    ,					tgt_lang='French'		)
									self.assertEqual(_SCREAMING_SNAKE_CASE    ,					'- Hé, comment ça va?'		)
		def 			UpperCAmelCase__       (    self		)				-> Tuple:




									"""simple docstring"""





									_UpperCAmelCase					=    ['Hey, what\'s up?', 'English', 'Spanish']
									_UpperCAmelCase					=    self.tool(*_SCREAMING_SNAKE_CASE		)

									# There is a single output
									if len(self.tool.outputs		) == 1:
																_UpperCAmelCase					=    [outputs]

									self.assertListEqual(output_types(_SCREAMING_SNAKE_CASE		)    ,					self.tool.outputs		)
		def 			UpperCAmelCase__       (    self		)				-> Union[str, Any]:




									"""simple docstring"""





									_UpperCAmelCase					=    ['Hey, what\'s up?', 'English', 'Spanish']
									_UpperCAmelCase					=    self.tool(*_SCREAMING_SNAKE_CASE		)

									if not isinstance(_SCREAMING_SNAKE_CASE    ,					_SCREAMING_SNAKE_CASE		):
																_UpperCAmelCase					=    [outputs]

									self.assertEqual(len(_SCREAMING_SNAKE_CASE		)    ,					len(self.tool.outputs		)		)

									for output, output_type in zip(_SCREAMING_SNAKE_CASE    ,					self.tool.outputs		):
																_UpperCAmelCase					=    AGENT_TYPE_MAPPING[output_type]
																self.assertTrue(isinstance(_SCREAMING_SNAKE_CASE    ,					_SCREAMING_SNAKE_CASE		)		)






		def 			UpperCAmelCase__       (    self		)				-> Optional[int]:




									"""simple docstring"""





									_UpperCAmelCase					=    ['Hey, what\'s up?', 'English', 'Spanish']

									_UpperCAmelCase					=    []

									for _input, input_type in zip(_SCREAMING_SNAKE_CASE    ,					self.tool.inputs		):
																if isinstance(_SCREAMING_SNAKE_CASE    ,					_SCREAMING_SNAKE_CASE		):
																							_inputs.append([AGENT_TYPE_MAPPING[_input_type](_input		) for _input_type in input_type]		)
																else:
																							_inputs.append(AGENT_TYPE_MAPPING[input_type](_input		)		)

        # Should not raise an error
									_UpperCAmelCase					=    self.tool(*_SCREAMING_SNAKE_CASE		)

									if not isinstance(_SCREAMING_SNAKE_CASE    ,					_SCREAMING_SNAKE_CASE		):
																_UpperCAmelCase					=    [outputs]

									self.assertEqual(len(_SCREAMING_SNAKE_CASE		)    ,					len(self.tool.outputs		)		)
