Computing Macro Precision and Recall score using numpy python(Without using scikit learn)

Question

This is similar to this question, but instead of F1. I need to compute Precision and Recall. I cannot use scikit-learn (even if it's optimized) because of the virtual machine that I have to use for this*.

Actual = np.array(["A","A","B","C","C"])
predicted = np.array[("A","A","B","C","C")]

I currently have some compatibility issues with numpy 1.19 and sklearn 0.23, but helpdesk is investigating that. In the mean time, I've to look for alternatives.