code: def impute_negative_one_1(all_inputs):
      all_inputs.fillna(-1, inplace=True)
      return all_inputs
  
imports: from hyperparameter_hunter import Environment, CVExperiment, FeatureEngineer, EngineerStep
  from hyperparameter_hunter.callbacks.recipes import dataset_recorder
  import numpy
  from numpy.testing import assert_array_almost_equal
  import pandas
  from pandas.testing import assert_frame_equal
  import pytest
  from sklearn.ensemble import AdaBoostClassifier
  from sklearn.preprocessing import StandardScaler
label_desc: Use image node_id 4 for calling a global function with example usage: impute_negative_one_1(all_inputs) and returns: all_inputs