





import os
import unittest

from transformers.models.cpmant.tokenization_cpmant import VOCAB_FILES_NAMES, CpmAntTokenizer
from transformers.testing_utils import require_jieba, tooslow

from ...test_tokenization_common import TokenizerTesterMixin


@require_jieba
class   A      (SCREAMING_SNAKE_CASE       ,					unittest.TestCase   ):
   '''simple docstring'''




   __lowerCamelCase     :	Tuple          =   CpmAntTokenizer
   __lowerCamelCase     :	str          =   False






   def        a_	(      self       :   Tuple       )     ->     str:







     """simple docstring"""






     super().setUp()

     A__  				=       [
         """<d>""",
         """</d>""",
         """<s>""",
         """</s>""",
         """</_>""",
         """<unk>""",
         """<pad>""",
         """</n>""",
         """我""",
         """是""",
         """C""",
         """P""",
         """M""",
         """A""",
         """n""",
         """t""",
     ]
     A__  				=       os.path.join(self.tmpdirname							,     VOCAB_FILES_NAMES["""vocab_file"""]       )
     with open(self.vocab_file							,     """w"""							,     encoding="""utf-8"""       ) as vocab_writer:
       vocab_writer.write("""""".join([x + """\n""" for x in vocab_tokens]       )       )







   @tooslow
   def        a_	(      self       :   Dict       )     ->     Tuple:







     """simple docstring"""






     A__  				=       CpmAntTokenizer.from_pretrained("""openbmb/cpm-ant-10b"""       )
     A__  				=       """今天天气真好！"""
     A__  				=       ["""今天""", """天气""", """真""", """好""", """！"""]
     A__  				=       tokenizer.tokenize(__lowerCAmelCase       )
     self.assertListEqual(__lowerCAmelCase							,     __lowerCAmelCase       )
     A__  				=       """今天天气真好！"""
     A__  				=       [tokenizer.bos_token] + tokens

     A__  				=       [6, 98_02, 1_49_62, 20_82, 8_31, 2_44]
     self.assertListEqual(tokenizer.convert_tokens_to_ids(__lowerCAmelCase       )							,     __lowerCAmelCase       )

     A__  				=       tokenizer.decode(__lowerCAmelCase       )
     self.assertEqual(__lowerCAmelCase							,     __lowerCAmelCase       )










from ...configuration_utils import PretrainedConfig
from ...utils import logging


A   : Dict			=				logging.get_logger(__name__)

A   : Dict			=				{
    '''google/pegasus-large''': '''https://huggingface.co/google/pegasus-large/resolve/main/config.json''',
    # See all PEGASUS models at https://huggingface.co/models?filter=pegasus
}


class   A      (SCREAMING_SNAKE_CASE   ):
			'''simple docstring'''




			__lowerCamelCase     :	Tuple          =   '''pegasus'''
			__lowerCamelCase     :	Any          =   ['''past_key_values''']
			__lowerCamelCase     :	List[str]          =   {'''num_attention_heads''': '''encoder_attention_heads''', '''hidden_size''': '''d_model'''}






			def __init__(      self       :   List[Any]							,     __lowerCAmelCase       :   str=5_02_65							,     __lowerCAmelCase       :   Dict=10_24							,     __lowerCAmelCase       :   Union[str, Any]=12							,     __lowerCAmelCase       :   Any=40_96							,     __lowerCAmelCase       :   Optional[Any]=16							,     __lowerCAmelCase       :   Dict=12							,     __lowerCAmelCase       :   Optional[int]=40_96							,     __lowerCAmelCase       :   Dict=16							,     __lowerCAmelCase       :   Optional[int]=0.0							,     __lowerCAmelCase       :   Optional[Any]=0.0							,     __lowerCAmelCase       :   Union[str, Any]=True							,     __lowerCAmelCase       :   List[str]=True							,     __lowerCAmelCase       :   str="gelu"							,     __lowerCAmelCase       :   Union[str, Any]=10_24							,     __lowerCAmelCase       :   Union[str, Any]=0.1							,     __lowerCAmelCase       :   Dict=0.0							,     __lowerCAmelCase       :   Union[str, Any]=0.0							,     __lowerCAmelCase       :   Union[str, Any]=0.0_2							,     __lowerCAmelCase       :   List[Any]=0							,     __lowerCAmelCase       :   str=False							,     __lowerCAmelCase       :   int=0							,     __lowerCAmelCase       :   Optional[Any]=1							,     __lowerCAmelCase       :   Optional[int]=1							,     **__lowerCAmelCase       :   Dict							,     )     ->     Dict:







					"""simple docstring"""






					A__  				=       vocab_size
					A__  				=       max_position_embeddings
					A__  				=       d_model
					A__  				=       encoder_ffn_dim
					A__  				=       encoder_layers
					A__  				=       encoder_attention_heads
					A__  				=       decoder_ffn_dim
					A__  				=       decoder_layers
					A__  				=       decoder_attention_heads
					A__  				=       dropout
					A__  				=       attention_dropout
					A__  				=       activation_dropout
					A__  				=       activation_function
					A__  				=       init_std
					A__  				=       encoder_layerdrop
					A__  				=       decoder_layerdrop
					A__  				=       use_cache
					A__  				=       encoder_layers
					A__  				=       scale_embedding  # scale factor will be sqrt(d_model) if True
					super().__init__(
					    pad_token_id=__lowerCAmelCase							,     eos_token_id=__lowerCAmelCase							,     is_encoder_decoder=__lowerCAmelCase							,     decoder_start_token_id=__lowerCAmelCase							,     forced_eos_token_id=__lowerCAmelCase							,     **__lowerCAmelCase							,     )






			@property
			def        a_	(      self       :   Dict       )     ->     int:







					"""simple docstring"""






					return self.encoder_attention_heads







			@property
			def        a_	(      self       :   Optional[Any]       )     ->     int:







					"""simple docstring"""






					return self.d_model



