
"""simple docstring"""





import argparse
from collections import defaultdict



def 				lowerCamelCase__		(      __snake_case,					__snake_case,					__snake_case,					__snake_case,					__snake_case     )							->		Dict:


					"""simple docstring"""





					_UpperCamelCase										=  F'''{file}_{class_name}_{test_name}'''
					done_test[_id] += 1

					with open(_UpperCAmelCase,					'''r'''     ) as f:
										_UpperCamelCase										=  f.readlines()

					_UpperCamelCase										=  F'''class {class_name}('''
					_UpperCamelCase										=  F'''{4 * " "}def {test_name}('''
					_UpperCamelCase										=  F'''{8 * " "}{correct_line.split()[0]}'''
					_UpperCamelCase										=  F'''{16 * " "}{correct_line.split()[0]}'''
					_UpperCamelCase										=  False
					_UpperCamelCase										=  False
					_UpperCamelCase										=  False
					_UpperCamelCase										=  False
					_UpperCamelCase										=  0
					_UpperCamelCase										=  0

					_UpperCamelCase										=  []
					for line in lines:
										if line.startswith(_UpperCAmelCase     ):
															_UpperCamelCase										=  True
										elif in_class and line.startswith(_UpperCAmelCase     ):
															_UpperCamelCase										=  True
										elif in_class and in_func and (line.startswith(_UpperCAmelCase     ) or line.startswith(_UpperCAmelCase     )):
															_UpperCamelCase										=  len(line.split(correct_line.split()[0]     )[0]     )
															count += 1

															if count == done_test[_id]:
																				_UpperCamelCase										=  True

										if in_class and in_func and in_line:
															if ")" not in line:
																				continue
															else:
																				_UpperCamelCase										=  True

										if in_class and in_func and in_line and insert_line:
															new_lines.append(F'''{spaces * " "}{correct_line}'''     )
															_UpperCamelCase										=  False
										else:
															new_lines.append(_UpperCAmelCase     )

					with open(_UpperCAmelCase,					'''w'''     ) as f:
										for line in new_lines:
															f.write(_UpperCAmelCase     )



def 				lowerCamelCase__		(      __snake_case,					__snake_case=None     )							->		List[str]:


					"""simple docstring"""





					if fail is not None:
										with open(_UpperCAmelCase,					'''r'''     ) as f:
															_UpperCamelCase										=  {l.strip() for l in f.readlines()}
					else:
										_UpperCamelCase										=  None

					with open(_UpperCAmelCase,					'''r'''     ) as f:
										_UpperCamelCase										=  f.readlines()

					_UpperCamelCase										=  defaultdict(_UpperCAmelCase     )
					for line in correct_lines:
										_UpperCamelCase										=  line.split(''';'''     )
										if test_failures is None or "::".join([file, class_name, test_name]     ) in test_failures:
															overwrite_file(_UpperCAmelCase,					_UpperCAmelCase,					_UpperCAmelCase,					_UpperCAmelCase,					_UpperCAmelCase     )


if __name__ == "__main__":
				_a														=		argparse.ArgumentParser()
				parser.add_argument("""--correct_filename""", help="""filename of tests with expected result""")
				parser.add_argument("""--fail_filename""", help="""filename of test failures""", type=str, default=None)
				_a														=		parser.parse_args()

				main(args.correct_filename, args.fail_filename)








"""simple docstring"""





from __future__ import annotations

import math
from collections import Counter
from string import ascii_lowercase



def 				lowerCamelCase__		(      __snake_case     )							->		None:


					"""simple docstring"""





					_UpperCamelCase			,  _UpperCamelCase										=  analyze_text(__snake_case     )
					_UpperCamelCase										=  list(''' ''' + ascii_lowercase     )
					# what is our total sum of probabilities.
					_UpperCamelCase										=  sum(single_char_strings.values()     )

					# one length string
					_UpperCamelCase										=  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										=  single_char_strings[ch]
															_UpperCamelCase										=  my_str / all_sum
															my_fir_sum += prob * math.loga(__snake_case     )  # entropy formula.

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

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

    # 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 				lowerCamelCase__		(      __snake_case     )							->		tuple[dict, dict]:


					"""simple docstring"""





					_UpperCamelCase										=  Counter()  # type: ignore
					_UpperCamelCase										=  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(__snake_case     ) - 1     ):
										single_char_strings[text[i]] += 1
										two_char_strings[text[i : i + 2]] += 1
					return single_char_strings, two_char_strings



def 				lowerCamelCase__		(      )							->		Dict:


					"""simple docstring"""





					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()






