
from operator import delitem, getitem, setitem

import pytest

from data_structures.hashing.hash_map import HashMap




def 			_SCREAMING_SNAKE_CASE      (	_lowerCamelCase				:    Dict)      ->					str:






							'''simple docstring'''





							return getitem, k




def 			_SCREAMING_SNAKE_CASE      (	_lowerCamelCase				:    int		,						_lowerCamelCase				:    Tuple)      ->					str:






							'''simple docstring'''





							return setitem, k, v




def 			_SCREAMING_SNAKE_CASE      (	_lowerCamelCase				:    Dict)      ->					Tuple:






							'''simple docstring'''





							return delitem, k




def 			_SCREAMING_SNAKE_CASE      (	_lowerCamelCase				:    List[str]		,						_lowerCamelCase				:    str		,						*_lowerCamelCase				:    str)      ->					Optional[int]:






							'''simple docstring'''





							try:
														return fun(SCREAMING_SNAKE_CASE_		,						*SCREAMING_SNAKE_CASE_), None
							except Exception as e:
														return None, e


lowercase						:      Optional[int]									= (
    _set('key_a', 'val_a'),
    _set('key_b', 'val_b'),
)

lowercase						:      Dict									= [
    _set('key_a', 'val_a'),
    _set('key_a', 'val_b'),
]

lowercase						:      List[str]									= [
    _set('key_a', 'val_a'),
    _set('key_b', 'val_b'),
    _del('key_a'),
    _del('key_b'),
    _set('key_a', 'val_a'),
    _del('key_a'),
]

lowercase						:      List[Any]									= [
    _get('key_a'),
    _del('key_a'),
    _set('key_a', 'val_a'),
    _del('key_a'),
    _del('key_a'),
    _get('key_a'),
]

lowercase						:      Dict									= [
    *[_set(x, x) for x in range(5)],  # guaranteed upsize
]

lowercase						:      List[str]									= [
    *[_set(x, x) for x in range(5)],  # guaranteed upsize
    *[_del(x) for x in range(5)],
    _set('key_a', 'val_b'),
]




@pytest.mark.parametrize(
    "operations"		,						(
        pytest.param(_add_items		,						id="add items"),
        pytest.param(_overwrite_items		,						id="overwrite items"),
        pytest.param(_delete_items		,						id="delete items"),
        pytest.param(_access_absent_items		,						id="access absent items"),
        pytest.param(_add_with_resize_up		,						id="add with resize up"),
        pytest.param(_add_with_resize_down		,						id="add with resize down"),
    )		,						)
def 			_SCREAMING_SNAKE_CASE      (	_lowerCamelCase				:    Tuple)      ->					str:






							'''simple docstring'''





							__UpperCamelCase			:     Any         =      HashMap(initial_block_size=4)
							__UpperCamelCase			:     List[str]         =      {}
							for _, (fun, *args) in enumerate(SCREAMING_SNAKE_CASE_):
														__UpperCamelCase     ,		__UpperCamelCase			:     List[Any]         =      _run_operation(SCREAMING_SNAKE_CASE_		,						SCREAMING_SNAKE_CASE_		,						*SCREAMING_SNAKE_CASE_)
														__UpperCamelCase     ,		__UpperCamelCase			:     Optional[int]         =      _run_operation(SCREAMING_SNAKE_CASE_		,						SCREAMING_SNAKE_CASE_		,						*SCREAMING_SNAKE_CASE_)
														assert my_res == py_res
														assert str(SCREAMING_SNAKE_CASE_) == str(SCREAMING_SNAKE_CASE_)
														assert set(SCREAMING_SNAKE_CASE_) == set(SCREAMING_SNAKE_CASE_)
														assert len(SCREAMING_SNAKE_CASE_) == len(SCREAMING_SNAKE_CASE_)
														assert set(my.items()) == set(py.items())




def 			_SCREAMING_SNAKE_CASE      (	)      ->					str:






							'''simple docstring'''





							def is_public(_lowerCamelCase				:    int) -> bool:
														return not name.startswith("_")

							__UpperCamelCase			:     Any         =      {name for name in dir({}) if is_public(SCREAMING_SNAKE_CASE_)}
							__UpperCamelCase			:     str         =      {name for name in dir(HashMap()) if is_public(SCREAMING_SNAKE_CASE_)}

							assert dict_public_names > hash_public_names



from __future__ import annotations

import math
from collections import Counter
from string import ascii_lowercase




def 			_SCREAMING_SNAKE_CASE      (	_lowerCamelCase				:    str)      ->					None:






							'''simple docstring'''





							__UpperCamelCase     ,		__UpperCamelCase			:     Optional[Any]         =      analyze_text(_lowerCamelCase)
							__UpperCamelCase			:     List[str]         =      list(" " + ascii_lowercase)
							# what is our total sum of probabilities.
							__UpperCamelCase			:     Any         =      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[Any]         =      single_char_strings[ch]
																					__UpperCamelCase			:     List[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[Any]         =      sum(two_char_strings.values())
							__UpperCamelCase			:     Tuple         =      0
							# for each alpha (two in size) calculate entropy.
							for cha in my_alphas:
														for cha in my_alphas:
																					__UpperCamelCase			:     List[str]         =      cha + cha
																					if sequence in two_char_strings:
																												__UpperCamelCase			:     Optional[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 			_SCREAMING_SNAKE_CASE      (	_lowerCamelCase				:    str)      ->					tuple[dict, dict]:






							'''simple docstring'''





							__UpperCamelCase			:     Tuple         =      Counter()  # type: ignore
							__UpperCamelCase			:     Any         =      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 			_SCREAMING_SNAKE_CASE      (	)      ->					List[str]:






							'''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()