from __future__ import annotations

import math
from collections import Counter
from string import ascii_lowercase





def    __lowercase     (						lowerCamelCase					:     str	):
 UpperCamelCase_, UpperCamelCase_					:						str =					analyze_text(lowerCamelCase	)
 UpperCamelCase_					:						Optional[int] =					list(' ' + ascii_lowercase	)
 # what is our total sum of probabilities.
 UpperCamelCase_					:						int =					sum(single_char_strings.values()	)

 # one length string
 UpperCamelCase_					:						Optional[Any] =					0
 # for each alpha we go in our dict and if it is in it we calculate entropy
 for ch in my_alphas:
  if ch in single_char_strings:
   UpperCamelCase_					:						List[str] =					single_char_strings[ch]
   UpperCamelCase_					:						str =					my_str / all_sum
   my_fir_sum += prob * math.loga(lowerCamelCase	)  # entropy formula.

    # print entropy
 print(F"{round(-1 * my_fir_sum	):.1f}"	)

 # two len string
 UpperCamelCase_					:						Optional[int] =					sum(two_char_strings.values()	)
 UpperCamelCase_					:						List[str] =					0
 # for each alpha (two in size) calculate entropy.
 for cha in my_alphas:
  for cha in my_alphas:
   UpperCamelCase_					:						Union[str, Any] =					cha + cha
   if sequence in two_char_strings:
    UpperCamelCase_					:						List[Any] =					two_char_strings[sequence]
    UpperCamelCase_					:						Any =					int(lowerCamelCase	) / all_sum
    my_sec_sum += prob * math.loga(lowerCamelCase	)

    # print second entropy
 print(F"{round(-1 * my_sec_sum	):.1f}"	)

 # print the difference between them
 print(F"{round((-1 * my_sec_sum) - (-1 * my_fir_sum)	):.1f}"	)





def    __lowercase     (						lowerCamelCase					:     str	):
 UpperCamelCase_					:						Any =					Counter()  # type: ignore
 UpperCamelCase_					:						Tuple =					Counter()  # type: ignore
 single_char_strings[text[-1]] += 1

 # first case when we have space at start.
 two_char_strings[" " + text[0]] += 1
 for i in range(0  ,  len(lowerCamelCase	) - 1	):
  single_char_strings[text[i]] += 1
  two_char_strings[text[i : i + 2]] += 1
 return single_char_strings, two_char_strings





def    __lowercase     (						):
 import doctest

 doctest.testmod()
 # text = (
 #     "Had repulsive dashwoods suspicion sincerity but advantage now him. Remark "
 #     "easily garret nor nay. Civil those mrs enjoy shy fat merry. You greatest "
 #     "jointure saw horrible. He private he on be imagine suppose. Fertile "
 #     "beloved evident through no service elderly is. Blind there if every no so "
 #     "at. Own neglected you preferred way sincerity delivered his attempted. To "
 #     "of message cottage windows do besides against uncivil.  Delightful "
 #     "unreserved impossible few estimating men favourable see entreaties. She "
 #     "propriety immediate was improving. He or entrance humoured likewise "
 #     "moderate. Much nor game son say feel. Fat make met can must form into "
 #     "gate. Me we offending prevailed discovery. "
 # )

 # calculate_prob(text)


if __name__ == "__main__":
   main()




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


a_    					=       logging.get_logger(__name__)

a_    					=       {
    # See all MEGATRON_BERT models at https://huggingface.co/models?filter=bert
}





class 		_lowercase						(					snake_case_       ):
 lowercase				     =   'megatron-bert'

 def __init__( self	:							List[str]   ,      snake_case	:							Tuple=2_9_0_5_6   ,      snake_case	:							Dict=1_0_2_4   ,      snake_case	:							Dict=2_4   ,      snake_case	:							Union[str, Any]=1_6   ,      snake_case	:							Optional[int]=4_0_9_6   ,      snake_case	:							Optional[int]="gelu"   ,      snake_case	:							Any=0.1   ,      snake_case	:							Tuple=0.1   ,      snake_case	:							Optional[int]=5_1_2   ,      snake_case	:							List[Any]=2   ,      snake_case	:							Tuple=0.02   ,      snake_case	:							Optional[Any]=1e-12   ,      snake_case	:							str=0   ,      snake_case	:							Optional[int]="absolute"   ,      snake_case	:							Union[str, Any]=True   ,      **snake_case	:							Any   ,      )   ->						List[Any]:

  """simple docstring"""





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

  UpperCamelCase_					:						Optional[Any] =					vocab_size
  UpperCamelCase_					:						Any =					hidden_size
  UpperCamelCase_					:						Union[str, Any] =					num_hidden_layers
  UpperCamelCase_					:						List[Any] =					num_attention_heads
  UpperCamelCase_					:						str =					hidden_act
  UpperCamelCase_					:						List[str] =					intermediate_size
  UpperCamelCase_					:						List[Any] =					hidden_dropout_prob
  UpperCamelCase_					:						Any =					attention_probs_dropout_prob
  UpperCamelCase_					:						Tuple =					max_position_embeddings
  UpperCamelCase_					:						Dict =					type_vocab_size
  UpperCamelCase_					:						Optional[int] =					initializer_range
  UpperCamelCase_					:						Optional[Any] =					layer_norm_eps
  UpperCamelCase_					:						Dict =					position_embedding_type
  UpperCamelCase_					:						List[str] =					use_cache



