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Dzhoker1
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Sep 18, 2018
| ht_with_repetitions = ''.join(random.choice(string.ascii_lowercase) for y in range(Y)) | ||
| print(f'ht_with_repetitions = {ht_with_repetitions}') | ||
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| class Hash: |
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Собственный класс для хэша - хорошо.
Но я специально написал рекомендацию по использованию готовой функции для подсчёта хэша.
| return self.str[self.init:self.end] | ||
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| def rabin_karp_matcher(substring, string): |
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Доработать алгоритм с урока - тоже хорошо.
Но задача стояла совсем другая.
Нужно анализировать строку и никакие подстроки передаваться не должны.
| """ | ||
| 2. Закодируйте любую строку (хотя бы из трех слов) по алгоритму Хаффмана. | ||
| """ | ||
| from heapq import heappush, heappop, heapify |
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Отлично, что вы знаете эту библиотеку )))
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| txt = "this is an example for huffman encoding" | ||
| symb2freq = collections.Counter(txt) | ||
| for ch in txt: |
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Этот цикл совершенно не нужен. 24 строка уже всё посчитала.
| huff = encode(symb2freq) | ||
| print("Symbol\tWeight\tHuffman Code") | ||
| for p in huff: | ||
| print("%s\t\t%s\t\t%s" % (p[0], symb2freq[p[0]], p[1])) No newline at end of file |
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Таблица кодирования есть.
А закодированную строку так и не вывели.
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