From 01d51aa979d0755cb9878bbd1db14a004a3dbb8e Mon Sep 17 00:00:00 2001
From: Matthias <xmatthias@outlook.com>
Date: Wed, 22 Feb 2023 07:20:10 +0100
Subject: [PATCH] Add necesary noqa statements

---
 freqtrade/templates/FreqaiExampleHybridStrategy.py | 11 +++++------
 1 file changed, 5 insertions(+), 6 deletions(-)

diff --git a/freqtrade/templates/FreqaiExampleHybridStrategy.py b/freqtrade/templates/FreqaiExampleHybridStrategy.py
index ee574fda3..8a99dabc1 100644
--- a/freqtrade/templates/FreqaiExampleHybridStrategy.py
+++ b/freqtrade/templates/FreqaiExampleHybridStrategy.py
@@ -1,13 +1,13 @@
 import logging
 from typing import Dict
 
-import numpy as np
-import pandas as pd
+import numpy as np  # noqa
+import pandas as pd  # noqa
 import talib.abstract as ta
 from pandas import DataFrame
 from technical import qtpylib
 
-from freqtrade.strategy import IntParameter, IStrategy, merge_informative_pair
+from freqtrade.strategy import IntParameter, IStrategy, merge_informative_pair  # noqa
 
 
 logger = logging.getLogger(__name__)
@@ -224,12 +224,11 @@ class FreqaiExampleHybridStrategy(IStrategy):
         usage example: dataframe["&-target"] = dataframe["close"].shift(-1) / dataframe["close"]
         """
         dataframe['&s-up_or_down'] = np.where(dataframe["close"].shift(-50) >
-                                        dataframe["close"], 'up', 'down')
+                                              dataframe["close"], 'up', 'down')
 
         return dataframe
 
-    # flake8: noqa: C901
-    def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
+    def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:  # noqa: C901
 
         # User creates their own custom strat here. Present example is a supertrend
         # based strategy.