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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def get_simulated_data(nmr_problems):
 """Simulate some data. This returns the simulated tank observations and the corresponding ground truth maximum number of tanks. Args: nmr_problems (int):
 the number of problems Returns: tuple: (observations, nmr_tanks_ground_truth) """

    # The number of tanks we observe per problem
    nmr_observed_tanks = 10

    # Generate some maximum number of tanks. Basically the ground truth of the estimation problem.
    nmr_tanks_ground_truth = normal(nmr_problems, 1, mean=250, std=30, ctype='uint')

    # Generate some random tank observations
    observations = uniform(nmr_problems, nmr_observed_tanks, low=0, high=nmr_tanks_ground_truth, ctype='uint')

    return observations, nmr_tanks_ground_truth