When truncating a Normal distribution with zero variance and mean equal to the lower bound of the truncated, evaluating rand will result in infinite compilation time. An equivalent operation with the upper bound of the truncated will return the value for the upper bound as expected.
Example:
using Distributions
rand(truncated(Normal(1, 0), 0, 1)) # Expected output: 1
rand(truncated(Normal(0, 0), 0, 1)) # Expected output: 0
# Note that when the expected output is 0 we get infinite compilation time.
When truncating a
Normaldistribution with zero variance and mean equal to the lower bound of thetruncated, evaluatingrandwill result in infinite compilation time. An equivalent operation with the upper bound of thetruncatedwill return the value for the upper bound as expected.Example: