From bb0d04849b55ad1bb7b45b36f7efcaef378af7b0 Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Mon, 9 Oct 2023 17:42:53 +0000
Subject: [PATCH] [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci
---
 ocf_ml_metrics/evaluation/evaluation.py | 8 ++++++--
 1 file changed, 6 insertions(+), 2 deletions(-)

diff --git a/ocf_ml_metrics/evaluation/evaluation.py b/ocf_ml_metrics/evaluation/evaluation.py
index 3d7b456..de09685 100644
--- a/ocf_ml_metrics/evaluation/evaluation.py
+++ b/ocf_ml_metrics/evaluation/evaluation.py
@@ -13,7 +13,7 @@ def evaluation(
     results_df: pd.DataFrame,
     model_name: str,
     sun_threshold_degrees_for_night: float = -5.0,
-    error_thresholds: Union[float, int, list] = [1000, 2000],
+    error_thresholds: Union[float, int, list] = None,
     outturn_unit: str = "mw",
     **kwargs,
 ) -> dict:
@@ -45,6 +45,8 @@ def evaluation(
 
     """
     # make sure datetimes columns datetimes and floor target time t to nearest 5-minutes
+    if error_thresholds is None:
+        error_thresholds = [1000, 2000]
     results_df["t0_datetime_utc"] = pd.to_datetime(results_df["t0_datetime_utc"])
     results_df["target_datetime_utc"] = pd.to_datetime(results_df["target_datetime_utc"])
     results_df["target_datetime_utc"] = results_df["target_datetime_utc"].dt.floor("5T")
@@ -164,7 +166,7 @@ def evaluation_per_id(
     results_df: pd.DataFrame,
     model_name: str,
     sun_threshold_degrees_for_night: float = -5.0,
-    error_thresholds: Union[float, int, list] = [1000, 2000],
+    error_thresholds: Union[float, int, list] = None,
     outturn_unit: str = "mw",
     **kwargs,
 ) -> dict:
@@ -196,6 +198,8 @@ def evaluation_per_id(
 
     """
     # make sure datetimes columns datetimes and floor target time t to nearest 5-minutes
+    if error_thresholds is None:
+        error_thresholds = [1000, 2000]
     results_df["t0_datetime_utc"] = pd.to_datetime(results_df["t0_datetime_utc"])
     results_df["target_datetime_utc"] = pd.to_datetime(results_df["target_datetime_utc"])
     results_df["target_datetime_utc"] = results_df["target_datetime_utc"].dt.floor("5T")