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perf: filter scan optimization and portfolio selection improvements

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Precompute p_ball to speed up exhaustive filtering, add fixed-ball validation with labeled exceptions, and improve portfolio selection via ymd-seeded shuffle and coverage-aware tie-breaking. Include lotto draw 1225 history update.

Co-authored-by: Cursor <cursoragent@cursor.com>
This commit is contained in:
dsyoon
2026-05-27 11:10:37 +09:00
parent aa0f925d4e
commit b82b5a58ee
4 changed files with 161 additions and 29 deletions
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13
final_BallFilter.py
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@@ -3812,9 +3812,10 @@ class BallFilter:
if len(set_ball & {3, 20, 44}) == 3: return 2928
return None
def extract_final_candidates(self, ball, no=None, until_end=False, df=None):
p_ball = df[df['no'] == no - 1].values.tolist()[0]
p_ball = p_ball[1:7]
def extract_final_candidates(self, ball, no=None, until_end=False, df=None, p_ball=None):
if p_ball is None:
p_ball = df[df['no'] == no - 1].values.tolist()[0]
p_ball = p_ball[1:7]
filter_set = set()
@@ -4447,7 +4448,9 @@ class BallFilter:
return filter_set
def filter(self, ball, no, until_end=False, df=None, filter_ball=None):
filter_type = self.extract_final_candidates(ball=ball, no=no, until_end=until_end, df=df)
def filter(self, ball, no, until_end=False, df=None, filter_ball=None, p_ball=None):
filter_type = self.extract_final_candidates(
ball=ball, no=no, until_end=until_end, df=df, p_ball=p_ball
)
return filter_type