




"""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       lowercase(  __a ,    unittest.TestCase				):







 '''simple docstring'''





 lowercase__				      =      MgpstrTokenizer
 lowercase__				      =      False
 lowercase__				      =      {}
 lowercase__				      =      False


 def 				UpperCamelCase_     (       self:	Union[str, Any]	):




   '''simple docstring'''



   super().setUp()

   # fmt: off
   _snake_case							:	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
   _snake_case							:	Tuple			=						dict(zip(a_,   range(len(a_	)	)	)	)

   _snake_case							:	List[Any]			=						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(a_	) + """\n"""	)


 def 				UpperCamelCase_     (       self:	Optional[Any],   **a_:	int	):




   '''simple docstring'''



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


 def 				UpperCamelCase_     (       self:	str,   a_:	Dict	):




   '''simple docstring'''



   _snake_case							:	Dict			=						"""tester"""
   _snake_case							:	List[str]			=						"""tester"""
   return input_text, output_text


 @unittest.skip("""MGP-STR always lower cases letters."""	)
 def 				UpperCamelCase_     (       self:	Union[str, Any]	):




   '''simple docstring'''



   pass


 def 				UpperCamelCase_     (       self:	Optional[int]	):




   '''simple docstring'''



   _snake_case							:	Union[str, Any]			=						self.get_tokenizers(do_lower_case=a_	)
   for tokenizer in tokenizers:
     with self.subTest(f"{tokenizer.__class__.__name__}"	):
       _snake_case							:	Optional[Any]			=						"""[SPECIAL_TOKEN]"""

       tokenizer.add_special_tokens({"""cls_token""": special_token}	)
       _snake_case							:	str			=						tokenizer.encode([special_token],   add_special_tokens=a_	)
       self.assertEqual(len(a_	),   1	)

       _snake_case							:	Any			=						tokenizer.decode(a_,   skip_special_tokens=a_	)
       self.assertTrue(special_token not in decoded	)


 def 				UpperCamelCase_     (       self:	Dict	):




   '''simple docstring'''



   _snake_case							:	List[str]			=						self.get_tokenizers()
   for tokenizer in tokenizers:
     with self.subTest(f"{tokenizer.__class__.__name__}"	):
       _snake_case	,      _snake_case							:	int			=						self.get_input_output_texts(a_	)

       _snake_case							:	Any			=						tokenizer.tokenize(a_	)
       _snake_case							:	Dict			=						tokenizer.convert_tokens_to_ids(a_	)
       _snake_case							:	Tuple			=						tokenizer.encode(a_,   add_special_tokens=a_	)
       self.assertListEqual(a_,   a_	)

       _snake_case							:	Any			=						tokenizer.convert_ids_to_tokens(a_	)
       self.assertNotEqual(len(a_	),   0	)
       _snake_case							:	Optional[Any]			=						tokenizer.decode(a_	)
       self.assertIsInstance(a_,   a_	)

       self.assertEqual(text_a.replace(""" """,   """"""	),   a_	)


 @unittest.skip("""MGP-STR tokenizer only handles one sequence."""	)
 def 				UpperCamelCase_     (       self:	str	):




   '''simple docstring'''



   pass


 @unittest.skip("""inputs cannot be pretokenized in MgpstrTokenizer"""	)
 def 				UpperCamelCase_     (       self:	List[str]	):




   '''simple docstring'''



   pass








"""simple docstring"""


from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


A_      			=       logging.get_logger(__name__)

A_      			=       {
    '''junnyu/roformer_chinese_small''': '''https://huggingface.co/junnyu/roformer_chinese_small/resolve/main/config.json''',
    '''junnyu/roformer_chinese_base''': '''https://huggingface.co/junnyu/roformer_chinese_base/resolve/main/config.json''',
    '''junnyu/roformer_chinese_char_small''': (
        '''https://huggingface.co/junnyu/roformer_chinese_char_small/resolve/main/config.json'''
    ),
    '''junnyu/roformer_chinese_char_base''': (
        '''https://huggingface.co/junnyu/roformer_chinese_char_base/resolve/main/config.json'''
    ),
    '''junnyu/roformer_small_discriminator''': (
        '''https://huggingface.co/junnyu/roformer_small_discriminator/resolve/main/config.json'''
    ),
    '''junnyu/roformer_small_generator''': (
        '''https://huggingface.co/junnyu/roformer_small_generator/resolve/main/config.json'''
    ),
    # See all RoFormer models at https://huggingface.co/models?filter=roformer
}






class       lowercase(  __a				):







 '''simple docstring'''





 lowercase__				      =      "roformer"


 def __init__(       self:	List[str],   a_:	Tuple=50_000,   a_:	Optional[Any]=None,   a_:	List[str]=768,   a_:	Union[str, Any]=12,   a_:	Optional[int]=12,   a_:	Optional[Any]=3_072,   a_:	List[str]="gelu",   a_:	List[str]=0.1,   a_:	Tuple=0.1,   a_:	Optional[int]=1_536,   a_:	Any=2,   a_:	Optional[int]=0.02,   a_:	Tuple=1E-12,   a_:	Dict=0,   a_:	str=False,   a_:	Dict=True,   **a_:	Dict,   ):




   '''simple docstring'''



   super().__init__(pad_token_id=a_,   **a_	)

   _snake_case							:	int			=						vocab_size
   _snake_case							:	int			=						hidden_size if embedding_size is None else embedding_size
   _snake_case							:	Dict			=						hidden_size
   _snake_case							:	Optional[int]			=						num_hidden_layers
   _snake_case							:	Any			=						num_attention_heads
   _snake_case							:	Dict			=						hidden_act
   _snake_case							:	Optional[int]			=						intermediate_size
   _snake_case							:	List[Any]			=						hidden_dropout_prob
   _snake_case							:	Union[str, Any]			=						attention_probs_dropout_prob
   _snake_case							:	Any			=						max_position_embeddings
   _snake_case							:	Tuple			=						type_vocab_size
   _snake_case							:	List[Any]			=						initializer_range
   _snake_case							:	List[Any]			=						layer_norm_eps
   _snake_case							:	Optional[Any]			=						rotary_value
   _snake_case							:	List[str]			=						use_cache







class       lowercase(  __a				):







 '''simple docstring'''





 @property
 def 				UpperCamelCase_     (       self:	Dict	):




   '''simple docstring'''



   if self.task == "multiple-choice":
     _snake_case							:	str			=						{0: """batch""", 1: """choice""", 2: """sequence"""}
   else:
     _snake_case							:	List[str]			=						{0: """batch""", 1: """sequence"""}
   _snake_case							:	List[Any]			=						{0: """batch""", 1: """sequence"""}
   return OrderedDict(
       [
           ("""input_ids""", dynamic_axis),
           ("""attention_mask""", dynamic_axis),
           ("""token_type_ids""", dynamic_axis),
       ]	)


