From cf1035ccca08f19ae99de4607f6d1a9c42f3544b Mon Sep 17 00:00:00 2001 From: Richard Michael Date: Thu, 25 Jul 2024 14:19:56 +0200 Subject: [PATCH] lint --- src/poli/objective_repository/rmf_landscape/register.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/src/poli/objective_repository/rmf_landscape/register.py b/src/poli/objective_repository/rmf_landscape/register.py index 0ccfcab6..02b0de04 100644 --- a/src/poli/objective_repository/rmf_landscape/register.py +++ b/src/poli/objective_repository/rmf_landscape/register.py @@ -8,6 +8,7 @@ [2] Analysis of a local fitness landscape with a model of the rough Mt. Fuji-type landscape: Application to prolyl endopeptidase and thermolysin. Aita T., Uchiyama H., et al. Biopolymers 54, 64-79 (2000). https://doi.org/10.1002/(SICI)1097-0282(200007)54:1<64::AID-BIP70>3.0.CO;2-R """ + from __future__ import annotations from typing import List, Optional, Union @@ -38,7 +39,7 @@ class RMFBlackBox(AbstractBlackBox): c : float, optional Constant scalar used in RMF computation, by default is the normalizing constant relative to alphabet size kappa : float, optional - Parameterizes the generalized Pareto distribution, by default 0.1 . + Parameterizes the generalized Pareto distribution, by default 0.1 . Determines what type of distribution will be sampled from exponential family, Weibull, etc. seed : int, optional Random seed for replicability of results, by default None.