

"""simple docstring"""




from typing import Mapping

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


_lowercase					:     List[str]				 =		logging.get_logger(__name__)

_lowercase					:     Union[str, Any]				 =		{
    '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 			_UpperCAmelCase					(				__lowercase    ):
	a__						:      Optional[Any]						       = '''t5'''
	a__						:      Optional[Any]						       = ['''past_key_values''']
	a__						:      List[str]						       = {'''hidden_size''': '''d_model''', '''num_attention_heads''': '''num_heads''', '''num_hidden_layers''': '''num_layers'''}



	def __init__(   self			:    str       ,  _lowercase			:    int=3_21_28       ,  _lowercase			:    Optional[int]=5_12       ,  _lowercase			:    Tuple=64       ,  _lowercase			:    Union[str, Any]=20_48       ,  _lowercase			:    str=6       ,  _lowercase			:    Union[str, Any]=None       ,  _lowercase			:    int=8       ,  _lowercase			:    Tuple=32       ,  _lowercase			:    Dict=1_28       ,  _lowercase			:    List[Any]=0.1       ,  _lowercase			:    Optional[Any]=1E-6       ,  _lowercase			:    str=1.0       ,  _lowercase			:    str="relu"       ,  _lowercase			:    int=True       ,  _lowercase			:    Optional[Any]=True       ,  _lowercase			:    Dict=0       ,  _lowercase			:    Tuple=1       ,  **_lowercase			:    str       ,  ):
		__UpperCAmelCase							=      vocab_size
		__UpperCAmelCase							=      d_model
		__UpperCAmelCase							=      d_kv
		__UpperCAmelCase							=      d_ff
		__UpperCAmelCase							=      num_layers
		__UpperCAmelCase							=      (
		    num_decoder_layers if num_decoder_layers is not None else self.num_layers
		)  # default = symmetry
		__UpperCAmelCase							=      num_heads
		__UpperCAmelCase							=      relative_attention_num_buckets
		__UpperCAmelCase							=      relative_attention_max_distance
		__UpperCAmelCase							=      dropout_rate
		__UpperCAmelCase							=      layer_norm_epsilon
		__UpperCAmelCase							=      initializer_factor
		__UpperCAmelCase							=      feed_forward_proj
		__UpperCAmelCase							=      use_cache

		__UpperCAmelCase							=      self.feed_forward_proj.split('''-'''		)
		__UpperCAmelCase							=      act_info[-1]
		__UpperCAmelCase							=      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":
			__UpperCAmelCase							=      '''gelu_new'''

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






class 			_UpperCAmelCase					(				__lowercase    ):



	@property
	def     a   (   self			:    Tuple		):
		__UpperCAmelCase							=      {
		    '''input_ids''': {0: '''batch''', 1: '''encoder_sequence'''},
		    '''attention_mask''': {0: '''batch''', 1: '''encoder_sequence'''},
		}
		if self.use_past:
			__UpperCAmelCase							=      '''past_encoder_sequence + sequence'''
			__UpperCAmelCase							=      {0: '''batch'''}
			__UpperCAmelCase							=      {0: '''batch''', 1: '''past_decoder_sequence + sequence'''}
		else:
			__UpperCAmelCase							=      {0: '''batch''', 1: '''decoder_sequence'''}
			__UpperCAmelCase							=      {0: '''batch''', 1: '''decoder_sequence'''}

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

		return common_inputs



	@property
	def     a   (   self			:    Optional[Any]		):
		return 13




'''simple docstring'''




import os

__snake_case    						={"""I""": 1, """V""": 5, """X""": 10, """L""": 50, """C""": 100, """D""": 500, """M""": 1_000}





def 	a_					( lowerCamelCase	:     str				):
   lowerCAmelCase     =			0

   lowerCAmelCase     =			0
   while index < len(lowerCamelCase				) - 1:
      lowerCAmelCase     =			SYMBOLS[numerals[index]]
      lowerCAmelCase     =			SYMBOLS[numerals[index + 1]]
      if current_value < next_value:
         total_value -= current_value
      else:
         total_value += current_value
      index += 1
   total_value += SYMBOLS[numerals[index]]

   return total_value





def 	a_					( lowerCamelCase	:     int				):
   lowerCAmelCase     =			''

   lowerCAmelCase     =			num // 1000
   numerals += m_count * "M"
   num %= 1000

   lowerCAmelCase     =			num // 100
   if c_count == 9:
      numerals += "CM"
      c_count -= 9
   elif c_count == 4:
      numerals += "CD"
      c_count -= 4
   if c_count >= 5:
      numerals += "D"
      c_count -= 5
   numerals += c_count * "C"
   num %= 100

   lowerCAmelCase     =			num // 10
   if x_count == 9:
      numerals += "XC"
      x_count -= 9
   elif x_count == 4:
      numerals += "XL"
      x_count -= 4
   if x_count >= 5:
      numerals += "L"
      x_count -= 5
   numerals += x_count * "X"
   num %= 10

   if num == 9:
      numerals += "IX"
      num -= 9
   elif num == 4:
      numerals += "IV"
      num -= 4
   if num >= 5:
      numerals += "V"
      num -= 5
   numerals += num * "I"

   return numerals





def 	a_					( lowerCamelCase	:     str = "/p089_roman.txt"				):
   lowerCAmelCase     =			0

   with open(os.path.dirname(lowerCamelCase				) + roman_numerals_filename				) as filea:
      lowerCAmelCase     =			filea.readlines()

   for line in lines:
      lowerCAmelCase     =			line.strip()
      lowerCAmelCase     =			parse_roman_numerals(lowerCamelCase				)
      lowerCAmelCase     =			generate_roman_numerals(lowerCamelCase				)
      savings += len(lowerCamelCase				) - len(lowerCamelCase				)

   return savings


if __name__ == "__main__":
       print(F'''{solution() = }''')





