# Minor mistakes in documentation

Hi, I’m going through the examples and the line numbers in the explanation for this function seems to be messed up.

``````def weather():
cloudy = torch.distributions.Bernoulli(0.3).sample()
cloudy = 'cloudy' if cloudy.item() == 1.0 else 'sunny'
mean_temp = {'cloudy': 55.0, 'sunny': 75.0}[cloudy]
scale_temp = {'cloudy': 10.0, 'sunny': 15.0}[cloudy]
temp = torch.distributions.Normal(mean_temp, scale_temp).rsample()
return cloudy, temp.item()
``````

Let’s go through this line-by-line. First, in lines 2-3 we define a binary random variable ‘cloudy’, which is given by a draw from the bernoulli distribution with a parameter of `0.3` . Since the bernoulli distributions returns `0` s or `1` s, in line 4 we convert the value `cloudy` to a string so that return values of `weather` are easier to parse. So according to this model 30% of the time it’s cloudy and 70% of the time it’s sunny.

In lines 5-6 we define the parameters we’re going to use to sample the temperature in lines 7-9. These parameters depend on the particular value of `cloudy` we sampled in line 2. For example, the mean temperature is 55 degrees (Fahrenheit) on cloudy days and 75 degrees on sunny days. Finally we return the two values `cloudy` and `temp` in line 10.

Obviously the function only has 7 lines and the explanation talks about 10 lines. Maybe the lines are truncated when this documentation was been written? I highlighted the correct line numbers.

Let’s go through this line-by-line. First, in lines 2 we define a binary random variable ‘cloudy’, which is given by a draw from the bernoulli distribution with a parameter of `0.3` . Since the bernoulli distributions returns `0` s or `1` s, in line 3 we convert the value `cloudy` to a string so that return values of `weather` are easier to parse. So according to this model 30% of the time it’s cloudy and 70% of the time it’s sunny.

In lines 4-5 we define the parameters we’re going to use to sample the temperature in lines 6. These parameters depend on the particular value of `cloudy` we sampled in line 2. For example, the mean temperature is 55 degrees (Fahrenheit) on cloudy days and 75 degrees on sunny days. Finally we return the two values `cloudy` and `temp` in line 7.

good catch - the description seems to be stale. i can fix that or feel free to make a pull request fixing the description.

I’ve made a pull request. This is my first time making PR so it’s kind of exciting, I certainly hope I didn’t break anything!