Adriano/Cerbero-Bite
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

chore(lint): adaptive_threshold imports + entry_validator top-level import

Browse Source 
- Sequence importato da collections.abc invece di typing (PYI001).
- compute_adaptive_threshold spostato a top-level (PLC0415):
  niente circular dep risk perché adaptive_threshold non importa
  da entry_validator.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This commit is contained in:
root
2026-05-08 23:20:54 +00:00
parent 64f4d4e09e
commit eb0662e44d
2 changed files with 2 additions and 5 deletions
Download Patch File Download Diff File Expand all files Collapse all files
src/cerbero_bite/core/adaptive_threshold.py
+1 -1
View File
@@ -8,8 +8,8 @@ Deterministic, no I/O. La query del repository è effettuata dal caller
from __future__ import annotations from __future__ import annotations
from collections.abc import Sequence
from decimal import Decimal from decimal import Decimal
from typing import Sequence
__all__ = ["compute_adaptive_threshold"] __all__ = ["compute_adaptive_threshold"]
src/cerbero_bite/core/entry_validator.py
+1 -4
View File
@@ -15,6 +15,7 @@ from decimal import Decimal
from pydantic import BaseModel, ConfigDict from pydantic import BaseModel, ConfigDict
from cerbero_bite.config import SpreadType, StrategyConfig from cerbero_bite.config import SpreadType, StrategyConfig
from cerbero_bite.core.adaptive_threshold import compute_adaptive_threshold
__all__ = [ __all__ = [
"EntryContext", "EntryContext",
@@ -159,10 +160,6 @@ def validate_entry(ctx: EntryContext, cfg: StrategyConfig) -> EntryDecision:
# soglia statica `iv_minus_rv_min`. # soglia statica `iv_minus_rv_min`.
if entry_cfg.iv_minus_rv_filter_enabled and ctx.iv_minus_rv is not None: if entry_cfg.iv_minus_rv_filter_enabled and ctx.iv_minus_rv is not None:
if entry_cfg.iv_minus_rv_adaptive_enabled: if entry_cfg.iv_minus_rv_adaptive_enabled:
from cerbero_bite.core.adaptive_threshold import (
compute_adaptive_threshold,
)
threshold = compute_adaptive_threshold( threshold = compute_adaptive_threshold(
history=ctx.iv_rv_history, history=ctx.iv_rv_history,
percentile=entry_cfg.iv_minus_rv_percentile, percentile=entry_cfg.iv_minus_rv_percentile,