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import numpy as np
from sklearn.preprocessing import StandardScaler
# Simula o mesmo shape e pré-processamento do modelo
scaler = StandardScaler()
def preprocess_input_data(data):
data = np.array(data).astype(np.float32)
if data.ndim == 1:
data = np.expand_dims(data, axis=0)
data = scaler.fit_transform(data)
return np.expand_dims(data, axis=2) # [batch, features, 1]
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