dsyoon
52e8495148
- final_BallFilter: CSV history loader, TRAIN_ALLOW for 6-sum and week diff, fix filterOneDigitPattern ball overwrite bug, drop socket call - final_filter_params: build sum6 and abs_sum_diff from rounds 1-800 - filter_model re-exports BallFilter; train/valid evaluate pass-through counts - final_filterTest aligned with 1_FilterTest_25 plus optional MC survivors - README and scripts/run_with_ncue.sh for ncue workflow Made-with: Cursor
40 lines
1.2 KiB
Python
40 lines
1.2 KiB
Python
"""
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학습 구간(회차 1~800) 당첨번호로부터 6개 합 및 전주 합 차이 허용 집합만 계산합니다.
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`final_BallFilter`의 나머지 필터는 `BallFilter_25`와 동일한 고정 임계값을 유지합니다.
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"""
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from __future__ import annotations
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import os
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from dataclasses import dataclass
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import pandas as pd
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@dataclass(frozen=True)
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class TrainAllow:
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sum6: frozenset
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abs_sum_diff: frozenset
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def build_train_allow(max_no: int = 800) -> TrainAllow:
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base = os.path.dirname(__file__)
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path = os.path.join(base, "resources", "lotto_history.txt")
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df = pd.read_csv(path, header=None)
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df.columns = ["no", "b1", "b2", "b3", "b4", "b5", "b6", "bn"]
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df = df[df["no"] <= max_no].sort_values("no")
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rows = []
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for _, r in df.iterrows():
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b = sorted(int(r[f"b{i}"]) for i in range(1, 7))
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rows.append((int(r["no"]), b))
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sum6 = {sum(b) for _, b in rows}
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abs_sum_diff = set()
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for i in range(1, len(rows)):
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s = sum(rows[i][1])
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ps = sum(rows[i - 1][1])
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abs_sum_diff.add(abs(s - ps))
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return TrainAllow(sum6=frozenset(sum6), abs_sum_diff=frozenset(abs_sum_diff))
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TRAIN_ALLOW = build_train_allow(800)
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