mcs | Nested Monte Carlo tree search for SameGame | Dataset library

I'm trying to perform Monte Carlo simulation on Ising model. My code runs pretty slow due to many monte carlo steps I have to perform. I'm trying to optimize my code to make it faster. I already did optimze metropolis() function but I don't know how to optimize my simulation() function. I tried list comprehension, but can't figure out a smart way to use it. Any tips and help would be appreciated.

Below is my code.

My goal is to receive command "semanage login -l" message in array and display the results in the browser. I have created a line inside a class Ausearch where it has a function processSudoInput() with contents:

I am trying to install Airflow 2.0.1 with ansible on CentOS8 machine. Python version 3.8.1. I made pip 20.2.4 as suggested in Airflow docs.

I am using postgresql and airflow db check is successful. But the db init task gives the following error. I tried airflow db init manually but the result was the same:

I am trying to get the second last value in each row of a data frame, meaning the first job a person has had. (Job1_latest is the most recent job and people had a different number of jobs in the past and I want to get the first one). I managed to get the last value per row with the code below:

first_job <- function(x) tail(x[!is.na(x)], 1)

first_job <- apply(data, 1, first_job)

Redhat Openshift autumatically creates a range of user ids that can be used in a given namespace, e.g.

I am currently working on a many-to-many, creating does not have any issue, but updating with pivot cause an issue sometimes.

here is some of my code

I am interested in using the open source code discussed here. The framework and some instruction on how to run the code is discussed here. To be able to use the code one should first install PETSc. I have done this and it seems to be correctly installed. The problem rises when I try to run make topopt following the instructions given in the paper (section 2.2). On the GitHub there exists a makefile_ref where following the instructions given in the paper I make the following changes: PETSC_DIR=\home\myusername\petsc and PETSC_ARCH=arch-linux-c-debug. After running make -d topopt I get the following error:

Here's a program that I am trying to run for Potts Model. It gives the plot once and then keeps repeating the line

I have written a Python C extension (ftaCalculate) in order to improve the performance of a given function that was previously written in pure Python. I have been able to increase the execution speed by a factor of x10, so no problem on this site.