mirror of https://github.com/dnomd343/klotski.git
Dnomd343
3 weeks ago
7 changed files with 21530 additions and 11 deletions
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#!/usr/bin/env python3 |
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import re |
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# (type_id, pattern_id): (load_factor_a, coff, load_factor_b) |
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type data_type = dict[tuple[int, int], tuple[float, float, float]] |
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def load_data(lines: list[str]) -> data_type: |
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result = {} |
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key, items = (), [] |
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for line in lines: |
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if line.startswith('['): |
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match = re.match(r'^\[(\d+), (\d+)]$', line) |
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key = (int(match[1]), int(match[2])) |
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elif not line: |
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assert len(key) == 2 |
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assert items[0][0] == 1.0 |
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if len(items) == 1: |
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assert items[0][1] < 0.1 # skip low cases |
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else: |
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assert len(items) == 2 |
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result[key] = items[0][1], items[1][0], items[1][1] |
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key, items = (), [] |
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else: |
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match = re.match(r'^(\d\.\d{2}), (\d\.\d{6})$', line) |
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items.append((float(match[1]), float(match[2]))) |
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return result |
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def analyse_data(data: data_type) -> None: |
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data = {x: y for x, y in data.items() if y[0] >= 0.5} |
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times = set([int(x * 1000 / y) / 1000 for x, _, y in data.values()]) |
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print(sorted(times)) |
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type_a, type_b, type_c = [], [], [] |
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for group, (load_factor, coff, _) in data.items(): |
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if load_factor <= 0.55: |
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type_a.append((group, load_factor, coff)) |
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elif coff <= 1.3: |
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type_b.append((group, load_factor, coff)) |
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else: |
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type_c.append((group, load_factor, coff)) |
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type_c = sorted(type_c, key=lambda x: x[2]) |
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for item in type_c: |
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print(item) |
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# ((117, 0), 0.571359, 1.54) -> 4680 |
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# ((118, 0), 0.571298, 1.54) -> 37440 |
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# ((133, 0), 0.570803, 1.54) -> 149632 |
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# ((134, 0), 0.570558, 1.54) -> 299136 |
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# ((63, 0), 0.568915, 1.55) -> 582 |
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# ((136, 0), 0.565568, 1.55) -> 296520 |
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# ((112, 0), 0.563973, 1.56) -> 36960 |
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# ((113, 0), 0.563969, 1.56) -> 73920 |
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# ((197, 0), 0.714286, 1.6) -> 5 |
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# ((197, 1), 0.714286, 1.6) -> 5 |
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# ((197, 2), 0.714286, 1.6) -> 5 |
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# ((197, 3), 0.714286, 1.6) -> 5 |
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# ((197, 4), 0.714286, 1.6) -> 5 |
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# ((197, 5), 0.714286, 1.6) -> 5 |
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if __name__ == '__main__': |
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raw = open('load_factor.txt').read().splitlines() |
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analyse_data(load_data(raw)) |
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