



"""simple docstring"""





from collections import OrderedDict
from typing import Mapping

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


lowerCamelCase  			=		logging.get_logger(__name__)

lowerCamelCase  			=		{
    """xlm-mlm-en-2048""": """https://huggingface.co/xlm-mlm-en-2048/resolve/main/config.json""",
    """xlm-mlm-ende-1024""": """https://huggingface.co/xlm-mlm-ende-1024/resolve/main/config.json""",
    """xlm-mlm-enfr-1024""": """https://huggingface.co/xlm-mlm-enfr-1024/resolve/main/config.json""",
    """xlm-mlm-enro-1024""": """https://huggingface.co/xlm-mlm-enro-1024/resolve/main/config.json""",
    """xlm-mlm-tlm-xnli15-1024""": """https://huggingface.co/xlm-mlm-tlm-xnli15-1024/resolve/main/config.json""",
    """xlm-mlm-xnli15-1024""": """https://huggingface.co/xlm-mlm-xnli15-1024/resolve/main/config.json""",
    """xlm-clm-enfr-1024""": """https://huggingface.co/xlm-clm-enfr-1024/resolve/main/config.json""",
    """xlm-clm-ende-1024""": """https://huggingface.co/xlm-clm-ende-1024/resolve/main/config.json""",
    """xlm-mlm-17-1280""": """https://huggingface.co/xlm-mlm-17-1280/resolve/main/config.json""",
    """xlm-mlm-100-1280""": """https://huggingface.co/xlm-mlm-100-1280/resolve/main/config.json""",
}
class  lowercase__  (       SCREAMING_SNAKE_CASE ):







       '''simple docstring'''


       UpperCamelCase		=	'''xlm'''
       UpperCamelCase		=	{
           '''hidden_size''': '''emb_dim''',
           '''num_attention_heads''': '''n_heads''',
           '''num_hidden_layers''': '''n_layers''',
           '''n_words''': '''vocab_size''',  # For backward compatibility
       }



       def __init__(				self     :    List[str]						,							_UpperCAmelCase     :    Tuple=30145						,							_UpperCAmelCase     :    List[Any]=2048						,							_UpperCAmelCase     :    List[str]=12						,							_UpperCAmelCase     :    str=16						,							_UpperCAmelCase     :    List[str]=0.1						,							_UpperCAmelCase     :    List[str]=0.1						,							_UpperCAmelCase     :    str=True						,							_UpperCAmelCase     :    List[str]=False						,							_UpperCAmelCase     :    Tuple=False						,							_UpperCAmelCase     :    List[Any]=False						,							_UpperCAmelCase     :    Union[str, Any]=1						,							_UpperCAmelCase     :    str=True						,							_UpperCAmelCase     :    Optional[Any]=512						,							_UpperCAmelCase     :    Dict=2048**-0.5						,							_UpperCAmelCase     :    List[Any]=1e-12						,							_UpperCAmelCase     :    Tuple=0.02						,							_UpperCAmelCase     :    Dict=0						,							_UpperCAmelCase     :    Union[str, Any]=1						,							_UpperCAmelCase     :    Tuple=2						,							_UpperCAmelCase     :    List[str]=3						,							_UpperCAmelCase     :    List[str]=5						,							_UpperCAmelCase     :    Dict=True						,							_UpperCAmelCase     :    Any="first"						,							_UpperCAmelCase     :    Optional[Any]=True						,							_UpperCAmelCase     :    str=None						,							_UpperCAmelCase     :    int=True						,							_UpperCAmelCase     :    Tuple=0.1						,							_UpperCAmelCase     :    List[str]=5						,							_UpperCAmelCase     :    List[str]=5						,							_UpperCAmelCase     :    Optional[Any]=0						,							_UpperCAmelCase     :    str=0						,							_UpperCAmelCase     :    List[str]=2						,							_UpperCAmelCase     :    List[str]=0						,							**_UpperCAmelCase     :    str						,							)					->		List[Any]:


             '''simple docstring'''




             UpperCAmelCase_     					=				vocab_size
             UpperCAmelCase_     					=				emb_dim
             UpperCAmelCase_     					=				n_layers
             UpperCAmelCase_     					=				n_heads
             UpperCAmelCase_     					=				dropout
             UpperCAmelCase_     					=				attention_dropout
             UpperCAmelCase_     					=				gelu_activation
             UpperCAmelCase_     					=				sinusoidal_embeddings
             UpperCAmelCase_     					=				causal
             UpperCAmelCase_     					=				asm
             UpperCAmelCase_     					=				n_langs
             UpperCAmelCase_     					=				use_lang_emb
             UpperCAmelCase_     					=				layer_norm_eps
             UpperCAmelCase_     					=				bos_index
             UpperCAmelCase_     					=				eos_index
             UpperCAmelCase_     					=				pad_index
             UpperCAmelCase_     					=				unk_index
             UpperCAmelCase_     					=				mask_index
             UpperCAmelCase_     					=				is_encoder
             UpperCAmelCase_     					=				max_position_embeddings
             UpperCAmelCase_     					=				embed_init_std
             UpperCAmelCase_     					=				init_std
             UpperCAmelCase_     					=				summary_type
             UpperCAmelCase_     					=				summary_use_proj
             UpperCAmelCase_     					=				summary_activation
             UpperCAmelCase_     					=				summary_proj_to_labels
             UpperCAmelCase_     					=				summary_first_dropout
             UpperCAmelCase_     					=				start_n_top
             UpperCAmelCase_     					=				end_n_top
             UpperCAmelCase_     					=				mask_token_id
             UpperCAmelCase_     					=				lang_id

             if "n_words" in kwargs:
                   UpperCAmelCase_     					=				kwargs["n_words"]

             super().__init__(pad_token_id=_UpperCAmelCase						,							bos_token_id=_UpperCAmelCase						,							**_UpperCAmelCase       )



class  lowercase__  (       SCREAMING_SNAKE_CASE ):







       '''simple docstring'''


       @property
       def 	lowercase__							(				self     :    Any       )					->		Mapping[str, Mapping[int, str]]:


             '''simple docstring'''




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





"""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    a_   (  __UpperCamelCase			,		unittest.TestCase      ):
					UpperCamelCase_			:						Optional[int]      =     MgpstrTokenizer
					UpperCamelCase_			:						Optional[int]      =     False
					UpperCamelCase_			:						Tuple      =     {}
					UpperCamelCase_			:						List[str]      =     False




					def     _SCREAMING_SNAKE_CASE    (						self    :  Dict  ):
							super().setUp()

							# fmt: off
							lowerCAmelCase__   = ["""[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
							lowerCAmelCase__   = dict(zip(snake_case__	,    range(len(snake_case__  )  )  )  )

							lowerCAmelCase__   = 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(snake_case__  ) + """\n"""  )




					def     _SCREAMING_SNAKE_CASE    (						self    :  int	,    **snake_case__    :  Tuple  ):
							return MgpstrTokenizer.from_pretrained(self.tmpdirname	,    **snake_case__  )




					def     _SCREAMING_SNAKE_CASE    (						self    :  List[str]	,    snake_case__    :  Dict  ):
							lowerCAmelCase__   = """tester"""
							lowerCAmelCase__   = """tester"""
							return input_text, output_text




					@unittest.skip("""MGP-STR always lower cases letters."""  )
					def     _SCREAMING_SNAKE_CASE    (						self    :  Optional[int]  ):
							pass




					def     _SCREAMING_SNAKE_CASE    (						self    :  Optional[int]  ):
							lowerCAmelCase__   = self.get_tokenizers(do_lower_case=snake_case__  )
							for tokenizer in tokenizers:
									with self.subTest(F"""{tokenizer.__class__.__name__}"""  ):
											lowerCAmelCase__   = """[SPECIAL_TOKEN]"""

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

											lowerCAmelCase__   = tokenizer.decode(snake_case__	,    skip_special_tokens=snake_case__  )
											self.assertTrue(special_token not in decoded  )




					def     _SCREAMING_SNAKE_CASE    (						self    :  List[str]  ):
							lowerCAmelCase__   = self.get_tokenizers()
							for tokenizer in tokenizers:
									with self.subTest(F"""{tokenizer.__class__.__name__}"""  ):
											lowerCAmelCase__ ,       lowerCAmelCase__   = self.get_input_output_texts(snake_case__  )

											lowerCAmelCase__   = tokenizer.tokenize(snake_case__  )
											lowerCAmelCase__   = tokenizer.convert_tokens_to_ids(snake_case__  )
											lowerCAmelCase__   = tokenizer.encode(snake_case__	,    add_special_tokens=snake_case__  )
											self.assertListEqual(snake_case__	,    snake_case__  )

											lowerCAmelCase__   = tokenizer.convert_ids_to_tokens(snake_case__  )
											self.assertNotEqual(len(snake_case__  )	,    0  )
											lowerCAmelCase__   = tokenizer.decode(snake_case__  )
											self.assertIsInstance(snake_case__	,    snake_case__  )

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




					@unittest.skip("""MGP-STR tokenizer only handles one sequence."""  )
					def     _SCREAMING_SNAKE_CASE    (						self    :  Optional[Any]  ):
							pass




					@unittest.skip("""inputs cannot be pretokenized in MgpstrTokenizer"""  )
					def     _SCREAMING_SNAKE_CASE    (						self    :  List[Any]  ):
							pass




