A company develops a program to help high school counselors suggest career paths to students. The program uses a machine learning algorithm that is trained on data from social media sites, looking at a user's current job title, their background, and their interests. After counselors use the program for a while, they observe that the program suggests jobs in STEM (science, technology, engineering, math) much more often for male students than for other students. What is the most probable explanation for the bias in the career suggestions?

Write a program that performs a simple n-body simulation, called "jumping leprechauns." this simulation involves n leprechauns, numberd 1 to n. it maintains a gold value g_i for each leprechaun i, which begins with each leprechaun starting out with a million dollars worth of gold, that is, g_i = 1000000 for each i = 1,. in addition, the simulation also maintains, for each leprachaun,i, a place on the horizon, which is represented as a double-precision floating point number, x_i. in each iteration of the simulation, the simulation processes the leprachauns in order. processing a leprachaun i during its iteration begins by computing a new place on the horizon for i, which is determined by the assignment: