input: Write a python function to train a KNeighborsClassifier model using the provided data and labels.
  assert train_knn_model(np.array([1, 2, 3, 4, 5]).reshape(-1, 1), np.array([0, 0, 1, 1, 1])) is not None
  assert isinstance(train_knn_model(np.array([1, 2, 3, 4, 5]).reshape(-1, 1), np.array([0, 0, 1, 1, 1])), KNeighborsClassifier)
output: def train_knn_model(data, labels):
      from sklearn.neighbors import KNeighborsClassifier
      
      model = KNeighborsClassifier()
      model.fit(data, labels)
      
      return model