# Predicting COVID cases#

A researcher at UC San Diego Health now wants to predict COVID-19 cases in the next few days!

She has a list `cases` which contains the current number of cases in San Francisco, Santa Barbara, Los Angeles, and San Diego.

```cases = [12508, 9969, 310595, 57409]
```

She also has a list `predicted_growths` which contains the predicted number of new cases for every `city` in the next few days.

For example:

Suppose today is 11/02/2020,

```predicted_growths = [100, 200, 300]
```

which means that the predicted number of new cases on 11/03/2020 is 100 for every city, the predicted number of new cases on 11/04/2020 is 200 and the predicted number of new cases on 11/05/2020 is 300.

Your job: Define a function `predict(cases, predicted_growths)` using nested for-loops, help the researcher print out the predicted number of all cases for each city in the next `k` days, where `k` is the length of `predicted_growths`. Note: you can assume that `cases` and `predicted_growths` are lists, and that `k == len(predicted_growths) > 0`. It’s okay to update `cases`.

Sample 1:

```cases = [12508, 9969, 310595, 57409]
predicted_growths = [100, 200, 300]
```

You should print:

```[12608, 10069, 310695, 57509]
[12808, 10269, 310895, 57709]
[13108, 10569, 311195, 58009]
```

Sample 2:

```cases = [12508, 9969, 310595, 57409]
predicted_growths = [1000, 2000, 3000, 4000]
```

You should print:

```[13508, 10969, 311595, 58409]
[15508, 12969, 313595, 60409]
[18508, 15969, 316595, 63409]
[22508, 19969, 320595, 67409]
```

Sample 3:

```cases = [12508, 9969, 310595, 57409]
predicted_growths = [10000]
```

You should print:

```[22508, 19969, 320595, 67409]
```