import numpy as np import matplotlib.pyplot as plt # Given current stock price current_price = 163.02 # Simulate future stock prices num_samples = 1000 growth_rate_samples = np.random.lognormal(mean=-0.8404, sigma=2.5, size=num_samples) future_prices = current_price * np.exp(growth_rate_samples) # Plot a histogram plt.hist(future_prices, bins=30, color='blue', edgecolor='black') plt.title('Simulated Future Stock Prices Histogram') plt.xlabel('Stock Price') plt.ylabel('Frequency') plt.show()   i cant run this code , its giving me an error , what answers its giving you ?

You may have found it somewhat tedious and unpleasant to use the debugger and visualizer to verify the correctness of your addFirst and addLast methods. There is also the problem that such manual verification becomes stale as soon as you change your code. Imagine that you made some minor but uncertain change to addLast]. To verify that you didn't break anything you'd have to go back and do that whole process again. Yuck. What we really want are some automated tests. But unfortunately there's no easy way to verify correctness of addFirst and addLast] if those are the only two methods we've implemented. That is, there's currently no way to iterate over our list and get bad its values and see that they are correct. That's where the toList method comes in. When called, this method returns a List representation of the Deque. For example, if the Deque has had addLast (5) addLast (9) addLast (10), then addFirst (3) called on it, then the result of toList() should be a List with 3 at the…

This question is for Java, and in the picture provided.

def upgrade_stations(threshold: int, num_bikes: int,                     stations: List["Station"]) -> int:    """Modify each station in stations that has a capacity that is less than    threshold by adding num_bikes to the capacity and bikes available counts.    Modify each station at most once.     Return the total number of bikes that were added to the bike share network.     Precondition: num_bikes >= 0