Testing for hypergeometric distribution assumption in log rank test

#1
Hi,
When using log rank test, there is assumption made on the observations of subjects having reached intended event to be hypergeometric.
Is there a way to test this assumption whether it holds true or not and how can this test be done in R or Python given a dataset that has the subjects from two cohorts and status of whether they have reached event or censored. Thank you.