43 lines
1.5 KiB
Python
43 lines
1.5 KiB
Python
from __future__ import annotations
|
|
|
|
from dataclasses import dataclass, asdict
|
|
|
|
|
|
@dataclass(slots=True)
|
|
class SpectrumConfig:
|
|
enabled: bool = True
|
|
backend: str = "flux"
|
|
blend_weight: float = 0.50
|
|
degree: int = 4
|
|
ridge_lambda: float = 0.10
|
|
window_size: float = 2.0
|
|
flex_window: float = 0.75
|
|
warmup_steps: int = 5
|
|
tail_actual_steps: int = 3
|
|
max_history: int = 128
|
|
debug: bool = False
|
|
|
|
def validate(self) -> "SpectrumConfig":
|
|
if self.backend != "flux":
|
|
raise ValueError(f"Unsupported backend: {self.backend!r}")
|
|
if not (0.0 <= float(self.blend_weight) <= 1.0):
|
|
raise ValueError("blend_weight must be in [0, 1].")
|
|
if int(self.degree) < 1:
|
|
raise ValueError("degree must be >= 1.")
|
|
if float(self.ridge_lambda) < 0.0:
|
|
raise ValueError("ridge_lambda must be >= 0.")
|
|
if float(self.window_size) < 1.0:
|
|
raise ValueError("window_size must be >= 1.")
|
|
if float(self.flex_window) < 0.0:
|
|
raise ValueError("flex_window must be >= 0.")
|
|
if int(self.warmup_steps) < 0:
|
|
raise ValueError("warmup_steps must be >= 0.")
|
|
if int(self.tail_actual_steps) < 0:
|
|
raise ValueError("tail_actual_steps must be >= 0.")
|
|
if int(self.max_history) < max(8, int(self.degree) + 1):
|
|
raise ValueError("max_history must be at least max(8, degree + 1).")
|
|
return self
|
|
|
|
def to_dict(self) -> dict:
|
|
return asdict(self)
|