






from __future__ import annotations

import math
from collections import Counter
from string import ascii_lowercase

def     snake_case   (UpperCAmelCase__    )			->							None:
  UpperCamelCase_ ,UpperCamelCase_:   Optional[Any]        =							analyze_text(UpperCAmelCase__    )
  UpperCamelCase_:   Any        =							list(' ' + ascii_lowercase    )
  # what is our total sum of probabilities.
  UpperCamelCase_:   Any        =							sum(single_char_strings.values()    )

  # one length string
  UpperCamelCase_:   List[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_:   Any        =							single_char_strings[ch]
      UpperCamelCase_:   Dict        =							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
  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_:   Optional[Any]        =							cha + cha
      if sequence in two_char_strings:
        UpperCamelCase_:   int        =							two_char_strings[sequence]
        UpperCamelCase_:   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     snake_case   (UpperCAmelCase__    )			->							tuple[dict, dict]:
  UpperCamelCase_:   List[str]        =							Counter()  # type: ignore
  UpperCamelCase_:   List[str]        =							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     snake_case   ()			->							Union[str, Any]:
  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 pytest

from datasets.splits import SplitDict, SplitInfo
from datasets.utils.py_utils import asdict


@pytest.mark.parametrize(
    '''split_dict''',   [
        SplitDict(),
        SplitDict({'''train''': SplitInfo(name='''train''',   num_bytes=1_337,   num_examples=42,   dataset_name='''my_dataset'''						)}						),
        SplitDict({'''train''': SplitInfo(name='''train''',   num_bytes=1_337,   num_examples=42						)}						),
        SplitDict({'''train''': SplitInfo()}						),
    ],   )
def        a__     (					UpperCamelCase_						:      SplitDict						):
   UpperCAmelCase__	:List[Any]      =      split_dict._to_yaml_list()
   assert len(UpperCamelCase_						) == len(UpperCamelCase_						)
   UpperCAmelCase__	:Tuple      =      SplitDict._from_yaml_list(UpperCamelCase_						)
   for split_name, split_info in split_dict.items():
      # dataset_name field is deprecated, and is therefore not part of the YAML dump
      UpperCAmelCase__	:Union[str, Any]      =      None
      # the split name of split_dict takes over the name of the split info object
      UpperCAmelCase__	:Union[str, Any]      =      split_name
   assert split_dict == reloaded


@pytest.mark.parametrize(
    '''split_info''',   [SplitInfo(), SplitInfo(dataset_name=UpperCamelCase_						), SplitInfo(dataset_name='''my_dataset'''						)]						)
def        a__     (					UpperCamelCase_						:      List[Any]						):
   # For backward compatibility, we need asdict(split_dict) to return split info dictrionaries with the "dataset_name"
   # field even if it's deprecated. This way old versionso of `datasets` can still reload dataset_infos.json files
   UpperCAmelCase__	:List[Any]      =      asdict(SplitDict({'''train''': split_info}						)						)
   assert "dataset_name" in split_dict_asdict["train"]
   assert split_dict_asdict["train"]["dataset_name"] == split_info.dataset_name



