


'''simple docstring'''

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						(lowercase_  ,     unittest.TestCase     ):





      '''simple docstring'''






      lowerCAmelCase__					:     int  					=							MgpstrTokenizer
      lowerCAmelCase__					:     Dict  					=							False
      lowerCAmelCase__					:     str  					=							{}
      lowerCAmelCase__					:     int  					=							False



      def       UpperCamelCase__		(self    :    Optional[Any] ):

             '''simple docstring'''







             super().setUp()

             # fmt: off
             lowercase__      			= ['''[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
             lowercase__      			= dict(zip(UpperCamelCase   ,						range(len(UpperCamelCase ) ) ) )

             lowercase__      			= 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(UpperCamelCase ) + '''\n''' )



      def       UpperCamelCase__		(self    :    Tuple   ,						**UpperCamelCase    :    Dict ):

             '''simple docstring'''







             return MgpstrTokenizer.from_pretrained(self.tmpdirname   ,						**UpperCamelCase )



      def       UpperCamelCase__		(self    :    List[str]   ,						UpperCamelCase    :    Optional[int] ):

             '''simple docstring'''







             lowercase__      			= '''tester'''
             lowercase__      			= '''tester'''
             return input_text, output_text



      @unittest.skip('''MGP-STR always lower cases letters.''' )
      def       UpperCamelCase__		(self    :    Tuple ):

             '''simple docstring'''







             pass



      def       UpperCamelCase__		(self    :    str ):

             '''simple docstring'''







             lowercase__      			= self.get_tokenizers(do_lower_case=UpperCamelCase )
             for tokenizer in tokenizers:
                    with self.subTest(f"{tokenizer.__class__.__name__}" ):
                           lowercase__      			= '''[SPECIAL_TOKEN]'''

                           tokenizer.add_special_tokens({'''cls_token''': special_token} )
                           lowercase__      			= tokenizer.encode([special_token]   ,						add_special_tokens=UpperCamelCase )
                           self.assertEqual(len(UpperCamelCase )   ,						1 )

                           lowercase__      			= tokenizer.decode(UpperCamelCase   ,						skip_special_tokens=UpperCamelCase )
                           self.assertTrue(special_token not in decoded )



      def       UpperCamelCase__		(self    :    Dict ):

             '''simple docstring'''







             lowercase__      			= self.get_tokenizers()
             for tokenizer in tokenizers:
                    with self.subTest(f"{tokenizer.__class__.__name__}" ):
                           lowercase__			,lowercase__      			= self.get_input_output_texts(UpperCamelCase )

                           lowercase__      			= tokenizer.tokenize(UpperCamelCase )
                           lowercase__      			= tokenizer.convert_tokens_to_ids(UpperCamelCase )
                           lowercase__      			= tokenizer.encode(UpperCamelCase   ,						add_special_tokens=UpperCamelCase )
                           self.assertListEqual(UpperCamelCase   ,						UpperCamelCase )

                           lowercase__      			= tokenizer.convert_ids_to_tokens(UpperCamelCase )
                           self.assertNotEqual(len(UpperCamelCase )   ,						0 )
                           lowercase__      			= tokenizer.decode(UpperCamelCase )
                           self.assertIsInstance(UpperCamelCase   ,						UpperCamelCase )

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



      @unittest.skip('''MGP-STR tokenizer only handles one sequence.''' )
      def       UpperCamelCase__		(self    :    Union[str, Any] ):

             '''simple docstring'''







             pass






      @unittest.skip('''inputs cannot be pretokenized in MgpstrTokenizer''' )
      def       UpperCamelCase__		(self    :    Optional[int] ):

             '''simple docstring'''







             pass








'''simple docstring'''

from typing import TYPE_CHECKING

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


lowerCamelCase							:   str  						=	{
    'configuration_rag': ['RagConfig'],
    'retrieval_rag': ['RagRetriever'],
    'tokenization_rag': ['RagTokenizer'],
}

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCamelCase							:   Dict  						=	[
     'RagModel',
     'RagPreTrainedModel',
     'RagSequenceForGeneration',
     'RagTokenForGeneration',
 ]

try:
 if not is_tf_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCamelCase							:   Optional[int]  						=	[
     'TFRagModel',
     'TFRagPreTrainedModel',
     'TFRagSequenceForGeneration',
     'TFRagTokenForGeneration',
 ]


if TYPE_CHECKING:
 from .configuration_rag import RagConfig
 from .retrieval_rag import RagRetriever
 from .tokenization_rag import RagTokenizer

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_rag import RagModel, RagPreTrainedModel, RagSequenceForGeneration, RagTokenForGeneration

 try:
  if not is_tf_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_tf_rag import (
      TFRagModel,
      TFRagPreTrainedModel,
      TFRagSequenceForGeneration,
      TFRagTokenForGeneration,
  )

else:
 import sys

 lowerCamelCase							:   Tuple  						=	_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)




