




import json
import os
import unittest

from transformers import MgpstrTokenizer
from transformers.models.mgp_str.tokenization_mgp_str import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin


@require_tokenizers
class    lowerCamelCase    (		_lowerCamelCase				,unittest.TestCase						):






			'''simple docstring'''





			UpperCamelCase__								=MgpstrTokenizer
			UpperCamelCase__								=False
			UpperCamelCase__								={}
			UpperCamelCase__								=False

			def 							UpperCAmelCase__       ( self			:   Tuple  )						->   Union[str, Any]:
								super().setUp()

								# fmt: off
								__magic_name__							:	Optional[int]    							=							['''[GO]''', '''[s]''', '''0''', '''1''', '''2''', '''3''', '''4''', '''5''', '''6''', '''7''', '''8''', '''9''', '''a''', '''b''', '''c''', '''d''', '''e''', '''f''', '''g''', '''h''', '''i''', '''j''', '''k''', '''l''', '''m''', '''n''', '''o''', '''p''', '''q''', '''r''', '''s''', '''t''', '''u''', '''v''', '''w''', '''x''', '''y''', '''z''']
								# fmt: on
								__magic_name__							:	Dict    							=							dict(zip(lowerCamelCase_       ,						range(len(lowerCamelCase_  )  )  )  )

								__magic_name__							:	int    							=							os.path.join(self.tmpdirname       ,						VOCAB_FILES_NAMES['''vocab_file''']  )
								with open(self.vocab_file       ,						'''w'''       ,						encoding='''utf-8'''  ) as fp:
													fp.write(json.dumps(lowerCamelCase_  ) + '''\n'''  )

			def 							UpperCAmelCase__       ( self			:   Union[str, Any]       ,						**lowerCamelCase_			:   List[str]  )						->   Tuple:
								return MgpstrTokenizer.from_pretrained(self.tmpdirname       ,						**lowerCamelCase_  )

			def 							UpperCAmelCase__       ( self			:   int       ,						lowerCamelCase_			:   List[Any]  )						->   Any:
								__magic_name__							:	str    							=							'''tester'''
								__magic_name__							:	Optional[Any]    							=							'''tester'''
								return input_text, output_text

			@unittest.skip('''MGP-STR always lower cases letters.'''  )
			def 							UpperCAmelCase__       ( self			:   Optional[Any]  )						->   int:
								pass

			def 							UpperCAmelCase__       ( self			:   Union[str, Any]  )						->   str:
								__magic_name__							:	int    							=							self.get_tokenizers(do_lower_case=lowerCamelCase_  )
								for tokenizer in tokenizers:
													with self.subTest(F'''{tokenizer.__class__.__name__}'''  ):
																		__magic_name__							:	Dict    							=							'''[SPECIAL_TOKEN]'''

																		tokenizer.add_special_tokens({'''cls_token''': special_token}  )
																		__magic_name__							:	Optional[Any]    							=							tokenizer.encode([special_token]       ,						add_special_tokens=lowerCamelCase_  )
																		self.assertEqual(len(lowerCamelCase_  )       ,						1  )

																		__magic_name__							:	List[Any]    							=							tokenizer.decode(lowerCamelCase_       ,						skip_special_tokens=lowerCamelCase_  )
																		self.assertTrue(special_token not in decoded  )

			def 							UpperCAmelCase__       ( self			:   Dict  )						->   str:
								__magic_name__							:	Optional[Any]    							=							self.get_tokenizers()
								for tokenizer in tokenizers:
													with self.subTest(F'''{tokenizer.__class__.__name__}'''  ):
																		__magic_name__							,    __magic_name__							:	int    							=							self.get_input_output_texts(lowerCamelCase_  )

																		__magic_name__							:	int    							=							tokenizer.tokenize(lowerCamelCase_  )
																		__magic_name__							:	List[str]    							=							tokenizer.convert_tokens_to_ids(lowerCamelCase_  )
																		__magic_name__							:	Optional[Any]    							=							tokenizer.encode(lowerCamelCase_       ,						add_special_tokens=lowerCamelCase_  )
																		self.assertListEqual(lowerCamelCase_       ,						lowerCamelCase_  )

																		__magic_name__							:	Tuple    							=							tokenizer.convert_ids_to_tokens(lowerCamelCase_  )
																		self.assertNotEqual(len(lowerCamelCase_  )       ,						0  )
																		__magic_name__							:	List[Any]    							=							tokenizer.decode(lowerCamelCase_  )
																		self.assertIsInstance(lowerCamelCase_       ,						lowerCamelCase_  )

																		self.assertEqual(text_a.replace(''' '''       ,						''''''  )       ,						lowerCamelCase_  )

			@unittest.skip('''MGP-STR tokenizer only handles one sequence.'''  )
			def 							UpperCAmelCase__       ( self			:   Dict  )						->   Optional[int]:
								pass


			@unittest.skip('''inputs cannot be pretokenized in MgpstrTokenizer'''  )
			def 							UpperCAmelCase__       ( self			:   List[str]  )						->   Any:
								pass









# flake8: noqa
# Lint as: python3

from typing import Dict, List, Optional, Type

from .. import config
from ..utils import logging
from .formatting import (
    ArrowFormatter,
    CustomFormatter,
    Formatter,
    PandasFormatter,
    PythonFormatter,
    TensorFormatter,
    format_table,
    query_table,
)
from .np_formatter import NumpyFormatter


__lowerCamelCase   :						int				=			logging.get_logger(__name__)

__lowerCamelCase   :						Dict[Optional[str], Type[Formatter]]				=			{}
__lowerCamelCase   :						Dict[Optional[str], str]				=			{}
__lowerCamelCase   :						Dict[Optional[str], Exception]				=			{}







def 		lowercase__   (		__A:	type							,__A:	Optional[str]							,__A:	Optional[List[str]] = None							,):





					'''simple docstring'''






					__magic_name__							:	Union[str, Any]    							=							aliases if aliases is not None else []
					if format_type in _FORMAT_TYPES:
										logger.warning(
										    F'''Overwriting format type \'{format_type}\' ({_FORMAT_TYPES[format_type].__name__} -> {formatter_cls.__name__})'''				)
					__magic_name__							:	Tuple    							=							formatter_cls
					for alias in set(aliases + [format_type]				):
										if alias in _FORMAT_TYPES_ALIASES:
															logger.warning(
															    F'''Overwriting format type alias \'{alias}\' ({_FORMAT_TYPES_ALIASES[alias]} -> {format_type})'''				)
										__magic_name__							:	Optional[int]    							=							format_type







def 		lowercase__   (		__A:	Exception							,__A:	Optional[str]							,__A:	Optional[List[str]] = None				):





					'''simple docstring'''






					__magic_name__							:	Union[str, Any]    							=							aliases if aliases is not None else []
					for alias in set(aliases + [format_type]				):
										__magic_name__							:	List[str]    							=							unavailable_error


# Here we define all the available formatting functions that can be used by `Dataset.set_format`
_register_formatter(PythonFormatter, None, aliases=['''python'''])
_register_formatter(ArrowFormatter, '''arrow''', aliases=['''pa''', '''pyarrow'''])
_register_formatter(NumpyFormatter, '''numpy''', aliases=['''np'''])
_register_formatter(PandasFormatter, '''pandas''', aliases=['''pd'''])
_register_formatter(CustomFormatter, '''custom''')

if config.TORCH_AVAILABLE:
	from .torch_formatter import TorchFormatter

	_register_formatter(TorchFormatter, '''torch''', aliases=['''pt''', '''pytorch'''])
else:
	__lowerCamelCase   :						str				=			ValueError('''PyTorch needs to be installed to be able to return PyTorch tensors.''')
	_register_unavailable_formatter(_torch_error, '''torch''', aliases=['''pt''', '''pytorch'''])

if config.TF_AVAILABLE:
	from .tf_formatter import TFFormatter

	_register_formatter(TFFormatter, '''tensorflow''', aliases=['''tf'''])
else:
	__lowerCamelCase   :						int				=			ValueError('''Tensorflow needs to be installed to be able to return Tensorflow tensors.''')
	_register_unavailable_formatter(_tf_error, '''tensorflow''', aliases=['''tf'''])

if config.JAX_AVAILABLE:
	from .jax_formatter import JaxFormatter

	_register_formatter(JaxFormatter, '''jax''', aliases=[])
else:
	__lowerCamelCase   :						str				=			ValueError('''JAX needs to be installed to be able to return JAX arrays.''')
	_register_unavailable_formatter(_jax_error, '''jax''', aliases=[])







def 		lowercase__   (		__A:	Optional[str]				):





					'''simple docstring'''






					if format_type in _FORMAT_TYPES_ALIASES:
										return _FORMAT_TYPES_ALIASES[format_type]
					else:
										return format_type







def 		lowercase__   (		__A:	Optional[str]							,**__A:	Any				):





					'''simple docstring'''






					__magic_name__							:	Tuple    							=							get_format_type_from_alias(__A				)
					if format_type in _FORMAT_TYPES:
										return _FORMAT_TYPES[format_type](**__A				)
					if format_type in _FORMAT_TYPES_ALIASES_UNAVAILABLE:
										raise _FORMAT_TYPES_ALIASES_UNAVAILABLE[format_type]
					else:
										raise ValueError(
										    F'''Return type should be None or selected in {list(type for type in _FORMAT_TYPES.keys() if type != None				)}, but got \'{format_type}\''''				)



