text: import math
  
  import numpy as np
  
  from regression_model.predict import make_prediction
  
  
  def test_make_prediction(sample_input_data):
      # Given
      expected_first_prediction_value = 113420
      expected_no_predictions = 1449
  
      # When
      result = make_prediction(input_data=sample_input_data)
  
      # Then
      predictions = result.get("predictions")
      assert isinstance(predictions, list)
      assert isinstance(predictions[0], np.float64)
      assert result.get("errors") is None
      assert len(predictions) == expected_no_predictions
      assert math.isclose(predictions[0], expected_first_prediction_value, abs_tol=100)
  