How does sklearn select threshold steps in precision recall curve?

Question

I trained a basic FFNN on a example breast cancer dataset. For the results the precision_recall_curve function gives datapoints for 416 different thresholds. My

Answer 1

Reading the source, precision_recall_curve does compute precision and recall for each unique predicted probability (here pred) but then omits the output for all thresholds that result in full recall (apart from the very first threshold to achieve full recall).