input: Write a function to generate a voltage signal with random noise based on the given frequency and amplitude. 
  
  
  def generate_voltage_signal(frequency, amplitude):
      import numpy as np
      t = np.linspace(0, 1, 1000)
      voltage_signal = amplitude * np.sin(2 * np.pi * frequency * t) + np.random.normal(0, 0.1, 1000)
      return voltage_signal
  
  assert len(generate_voltage_signal(250, 1)) == 1000
  assert np.isclose(np.average(generate_voltage_signal(250, 1)), 0, atol=0.1)
  
  
  In this function, `generate_voltage_signal`, it creates a sinusoidal wave of the specified frequency and amplitude, and adds Gaussian noise with a mean of 0 and a standard deviation of 0.1. The `assert` statements verify that the length of the output matches expectations and that the average is close to zero, within a tolerance of 0.1.
output: def generate_voltage_signal(frequency, amplitude):
      import numpy as np
      t = np.linspace(0, 1, 1000)
      voltage_signal = amplitude * np.sin(2 * np.pi * frequency * t) + np.random.normal(0, 0.1, 1000)
      return voltage_signal