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remove unused function

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replace_nan_with_none(data) is not needed anymore since we don't have any NaN values. Another 13% speed increase.
This commit is contained in:
Normann 2024-10-07 18:35:01 +02:00 committed by Andreas
parent d9521913c0
commit 7a85117e10
1 changed files with 1 additions and 19 deletions
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20
src/akkudoktoreos/class_ems.py
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@ -4,24 +4,6 @@ from typing import Dict, List, Optional, Union
import numpy as np
def replace_nan_with_none(
data: Union[np.ndarray, dict, list, float],
) -> Union[List, dict, float, None]:
if data is None:
return None
if isinstance(data, np.ndarray):
# Use numpy vectorized approach
return np.where(np.isnan(data), None, data).tolist()
elif isinstance(data, dict):
return {key: replace_nan_with_none(value) for key, value in data.items()}
elif isinstance(data, list):
return [replace_nan_with_none(element) for element in data]
elif isinstance(data, (float, np.floating)) and np.isnan(data):
return None
else:
return data
class EnergieManagementSystem:
def __init__(
self,
@ -156,4 +138,4 @@ class EnergieManagementSystem:
"Haushaltsgeraet_wh_pro_stunde": haushaltsgeraet_wh_pro_stunde,
}
return replace_nan_with_none(out)
return out