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Reduce the complexity of boolean_algebra/quine_mc_cluskey.py (#8604)
* Reduce the complexity of boolean_algebra/quine_mc_cluskey.py * updating DIRECTORY.md * Fix * Fix review issues * Fix * Fix review issues --------- Co-authored-by: github-actions <${GITHUB_ACTOR}@users.noreply.github.com>
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@ -74,10 +74,7 @@ def is_for_table(string1: str, string2: str, count: int) -> bool:
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"""
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list1 = list(string1)
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list2 = list(string2)
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count_n = 0
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for i in range(len(list1)):
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if list1[i] != list2[i]:
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count_n += 1
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count_n = sum(item1 != item2 for item1, item2 in zip(list1, list2))
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return count_n == count
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@ -92,40 +89,34 @@ def selection(chart: list[list[int]], prime_implicants: list[str]) -> list[str]:
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temp = []
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select = [0] * len(chart)
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for i in range(len(chart[0])):
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count = 0
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rem = -1
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for j in range(len(chart)):
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if chart[j][i] == 1:
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count += 1
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rem = j
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count = sum(row[i] == 1 for row in chart)
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if count == 1:
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rem = max(j for j, row in enumerate(chart) if row[i] == 1)
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select[rem] = 1
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for i in range(len(select)):
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if select[i] == 1:
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for i, item in enumerate(select):
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if item != 1:
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continue
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for j in range(len(chart[0])):
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if chart[i][j] == 1:
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for k in range(len(chart)):
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chart[k][j] = 0
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if chart[i][j] != 1:
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continue
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for row in chart:
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row[j] = 0
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temp.append(prime_implicants[i])
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while True:
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max_n = 0
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rem = -1
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count_n = 0
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for i in range(len(chart)):
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count_n = chart[i].count(1)
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if count_n > max_n:
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max_n = count_n
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rem = i
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counts = [chart[i].count(1) for i in range(len(chart))]
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max_n = max(counts)
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rem = counts.index(max_n)
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if max_n == 0:
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return temp
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temp.append(prime_implicants[rem])
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for i in range(len(chart[0])):
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if chart[rem][i] == 1:
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for j in range(len(chart)):
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chart[j][i] = 0
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for j in range(len(chart[0])):
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if chart[rem][j] != 1:
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continue
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for i in range(len(chart)):
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chart[i][j] = 0
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def prime_implicant_chart(
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