


'''simple docstring'''






from __future__ import annotations

import math
from collections import Counter
from string import ascii_lowercase







def     UpperCamelCase_      (   A__ :       int ):
  lowerCAmelCase_      :				str      =       analyze_text(_UpperCAmelCase )
  lowerCAmelCase_      :				Union[str, Any]      =       list(""" """ + ascii_lowercase )
  # what is our total sum of probabilities.
  lowerCAmelCase_      :				str      =       sum(single_char_strings.values() )

  # one length string
  lowerCAmelCase_      :				Tuple      =       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:
      lowerCAmelCase_      :				Any      =       single_char_strings[ch]
      lowerCAmelCase_      :				int      =       my_str / all_sum
      my_fir_sum += prob * math.loga(_UpperCAmelCase )  # entropy formula.

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

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

    # 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     UpperCamelCase_      (   A__ :       Any ):
  lowerCAmelCase_      :				str      =       Counter()  # type: ignore
  lowerCAmelCase_      :				Dict      =       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(_UpperCAmelCase ) - 1 ):
    single_char_strings[text[i]] += 1
    two_char_strings[text[i : i + 2]] += 1
  return single_char_strings, two_char_strings







def     UpperCamelCase_      (   ):
  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()







'''simple docstring'''






import requests







def     UpperCamelCase_      (   A__ :       str							,   A__ :       str ):
  '''simple docstring'''





  lowerCAmelCase_      :				Optional[Any]      =       {"""Content-Type""": """application/json"""}
  lowerCAmelCase_      :				Union[str, Any]      =       requests.post(A__							,   json={"""text""": message_body}							,   headers=A__ )
  if response.status_code != 2_00:
    lowerCAmelCase_      :				Dict      =       (
        """Request to slack returned an error """
        f'{response.status_code}, the response is:\n{response.text}'
    )
    raise ValueError(A__ )


if __name__ == "__main__":
  # Set the slack url to the one provided by Slack when you create the webhook at
  # https://my.slack.com/services/new/incoming-webhook/
  send_slack_message("<YOUR MESSAGE BODY>", "<SLACK CHANNEL URL>")



