


'''simple docstring'''

from typing import Mapping

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


lowerCamelCase				:  Optional[int]    		=      logging.get_logger(__name__)

lowerCamelCase				:  Optional[int]    		=      {
    't5-small': 'https://huggingface.co/t5-small/resolve/main/config.json',
    't5-base': 'https://huggingface.co/t5-base/resolve/main/config.json',
    't5-large': 'https://huggingface.co/t5-large/resolve/main/config.json',
    't5-3b': 'https://huggingface.co/t5-3b/resolve/main/config.json',
    't5-11b': 'https://huggingface.co/t5-11b/resolve/main/config.json',
}
class     __lowerCAmelCase		(lowercase_	):





      '''simple docstring'''






      lowerCAmelCase__   :	Optional[Any]       =				"""t5"""
      lowerCAmelCase__   :	Union[str, Any]       =				["""past_key_values"""]
      lowerCAmelCase__   :	str       =				{"""hidden_size""": """d_model""", """num_attention_heads""": """num_heads""", """num_hidden_layers""": """num_layers"""}



      def __init__(self       :       List[str]  ,		UpperCamelCase       :       Any=32128  ,		UpperCamelCase       :       Optional[int]=512  ,		UpperCamelCase       :       Union[str, Any]=64  ,		UpperCamelCase       :       Union[str, Any]=2048  ,		UpperCamelCase       :       Tuple=6  ,		UpperCamelCase       :       Any=None  ,		UpperCamelCase       :       List[str]=8  ,		UpperCamelCase       :       Union[str, Any]=32  ,		UpperCamelCase       :       Dict=128  ,		UpperCamelCase       :       Optional[int]=0.1  ,		UpperCamelCase       :       Dict=1E-6  ,		UpperCamelCase       :       Tuple=1.0  ,		UpperCamelCase       :       int="relu"  ,		UpperCamelCase       :       List[Any]=True  ,		UpperCamelCase       :       Optional[Any]=True  ,		UpperCamelCase       :       Tuple=0  ,		UpperCamelCase       :       Any=1  ,		**UpperCamelCase       :       Dict  ,		):

             '''simple docstring'''







             lowercase__      =					vocab_size
             lowercase__      =					d_model
             lowercase__      =					d_kv
             lowercase__      =					d_ff
             lowercase__      =					num_layers
             lowercase__      =					(
                 num_decoder_layers if num_decoder_layers is not None else self.num_layers
             )  # default = symmetry
             lowercase__      =					num_heads
             lowercase__      =					relative_attention_num_buckets
             lowercase__      =					relative_attention_max_distance
             lowercase__      =					dropout_rate
             lowercase__      =					layer_norm_epsilon
             lowercase__      =					initializer_factor
             lowercase__      =					feed_forward_proj
             lowercase__      =					use_cache

             lowercase__      =					self.feed_forward_proj.split('''-'''					)
             lowercase__      =					act_info[-1]
             lowercase__      =					act_info[0] == '''gated'''

             if len(UpperCamelCase					) > 1 and act_info[0] != "gated" or len(UpperCamelCase					) > 2:
                    raise ValueError(
                        f"`feed_forward_proj`: {feed_forward_proj} is not a valid activation function of the dense layer."
                        '''Please make sure `feed_forward_proj` is of the format `gated-{ACT_FN}` or `{ACT_FN}`, e.g. '''
                        '''\'gated-gelu\' or \'relu\''''					)

             # for backwards compatibility
             if feed_forward_proj == "gated-gelu":
                    lowercase__      =					'''gelu_new'''

             super().__init__(
                 pad_token_id=UpperCamelCase  ,		eos_token_id=UpperCamelCase  ,		is_encoder_decoder=UpperCamelCase  ,		**UpperCamelCase  ,		)






class     __lowerCAmelCase		(lowercase_	):





      '''simple docstring'''






      @property
      def  UpperCamelCase__						(self       :       str					):

             '''simple docstring'''







             lowercase__      =					{
                 '''input_ids''': {0: '''batch''', 1: '''encoder_sequence'''},
                 '''attention_mask''': {0: '''batch''', 1: '''encoder_sequence'''},
             }
             if self.use_past:
                    lowercase__      =					'''past_encoder_sequence + sequence'''
                    lowercase__      =					{0: '''batch'''}
                    lowercase__      =					{0: '''batch''', 1: '''past_decoder_sequence + sequence'''}
             else:
                    lowercase__      =					{0: '''batch''', 1: '''decoder_sequence'''}
                    lowercase__      =					{0: '''batch''', 1: '''decoder_sequence'''}

             if self.use_past:
                    self.fill_with_past_key_values_(UpperCamelCase  ,		direction='''inputs'''					)

             return common_inputs






      @property
      def  UpperCamelCase__						(self       :       str					):

             '''simple docstring'''







             return 13








'''simple docstring'''

import unittest

from transformers import RoFormerTokenizer, RoFormerTokenizerFast
from transformers.testing_utils import require_rjieba, require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin
@require_rjieba
@require_tokenizers
class     __lowerCAmelCase		(lowercase_    ,	unittest.TestCase	):





      '''simple docstring'''






      lowerCAmelCase__   :	str       =				RoFormerTokenizer
      lowerCAmelCase__   :	Dict       =				RoFormerTokenizerFast
      lowerCAmelCase__   :	List[str]       =				True
      lowerCAmelCase__   :	List[str]       =				True



      def  UpperCamelCase__						(self       :       Dict					):

             '''simple docstring'''







             super().setUp()



      def  UpperCamelCase__						(self       :       List[str]  ,		**UpperCamelCase       :       Dict					):

             '''simple docstring'''







             return self.tokenizer_class.from_pretrained('''junnyu/roformer_chinese_base'''  ,		**UpperCamelCase					)



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

             '''simple docstring'''







             return self.rust_tokenizer_class.from_pretrained('''junnyu/roformer_chinese_base'''  ,		**UpperCamelCase					)



      def  UpperCamelCase__						(self       :       List[str]					):

             '''simple docstring'''







             lowercase__      =					'''永和服装饰品有限公司,今天天气非常好'''
             lowercase__      =					'''永和 服装 饰品 有限公司 , 今 天 天 气 非常 好'''
             return input_text, output_text



      def  UpperCamelCase__						(self       :       int					):

             '''simple docstring'''







             lowercase__      =					self.get_tokenizer()
             lowercase__     ,lowercase__      =					self.get_chinese_input_output_texts()
             lowercase__      =					tokenizer.tokenize(UpperCamelCase					)

             self.assertListEqual(UpperCamelCase  ,		output_text.split()					)

             lowercase__      =					tokens + [tokenizer.unk_token]
             lowercase__      =					[22943, 21332, 34431, 45904, 117, 306, 1231, 1231, 2653, 33994, 1266, 100]
             self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCamelCase					)  ,		UpperCamelCase					)



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

             '''simple docstring'''







             lowercase__      =					self.get_rust_tokenizer()
             lowercase__     ,lowercase__      =					self.get_chinese_input_output_texts()
             lowercase__      =					tokenizer.tokenize(UpperCamelCase					)
             self.assertListEqual(UpperCamelCase  ,		output_text.split()					)
             lowercase__      =					tokens + [tokenizer.unk_token]
             lowercase__      =					[22943, 21332, 34431, 45904, 117, 306, 1231, 1231, 2653, 33994, 1266, 100]
             self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCamelCase					)  ,		UpperCamelCase					)



      def  UpperCamelCase__						(self       :       str					):

             '''simple docstring'''







             pass



      def  UpperCamelCase__						(self       :       Any					):

             '''simple docstring'''







             pass






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

             '''simple docstring'''







             pass




