H1 Scale correspondence: correlation length decays as ξ(k) ∝ exp(−k / k_c) R² ≥ 0.95, KS p-value > 0.05 H2 Depth scaling law: L_min ~ k_c · log(ξ_data / ξ_target) AIC selects logarithmic over linear ...
def __next__(self): # returns the next value, is automatically called during iteration. if self.num <= 10: # condition to stop the for loop for topten.
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