akochepasov

" An example for a vimrc file.
"
" Maintainer:   Bram Moolenaar <Bram@vim.org>
" Last change:  2008 Jul 02
"
" To use it, copy it to
"     for Unix and OS/2:  ~/.vimrc
"             for Amiga:  s:.vimrc
"  for MS-DOS and Win32:  $VIM\_vimrc
"           for OpenVMS:  sys$login:.vimrc

akochepasov

Commit Message Guidelines

Short (72 chars or less) summary

More detailed explanatory text. Wrap it to 72 characters. The blank
line separating the summary from the body is critical (unless you omit
the body entirely).

Write your commit message in the imperative: "Fix bug" and not "Fixed
bug" or "Fixes bug." This convention matches up with commit messages

akochepasov

To make Pageant automatically run and load keys at startup:

- Find the location of pageant.exe

- Windows key + R to open the 'run' dialog box

- Type: 'shell:startup' in the dialog box

- Create a shortcut to the pageant.exe and put into this startup folder.

akochepasov

Fetch only a known branch

git fetch --depth=5 origin feature/BSD-745-db-simulation

Switch-rename existing branch

git switch feature/BSD-745-db-simulation
git switch -c BSD-745 --track origin/feature/BSD-745-db-simulation

Branch from current

git checkout -b feature/BSD-713

akochepasov

Creating a Fork

Just head over to the GitHub page and click the "Fork" button. It's just that simple. Once you've done that, you can use your favorite git client to clone your repo or just head straight to the command line:

# Clone your fork to your local machine
git clone git@github.com:USERNAME/FORKED-PROJECT.git

akochepasov

# Based on oneAPI description
# Both from C order
n, m = A.shape
ldm, lda = n, 3
ku, kl = 1, 1
B = np.zeros((lda, ldm))
for j in range(n):
    k = ku - j
    for i in range(max(0, j-ku), min(m, j + kl + 1)):
        B[(k + i), j] = A[i, j]

akochepasov

def diagonal_form(a, upper = 1, lower= 1):
    """
    a is a numpy square matrix
    this function converts a square matrix to diagonal ordered form
    returned matrix in ab shape which can be used directly for scipy.linalg.solve_banded
    """
    n = a.shape[1]
    assert(np.all(a.shape ==(n,n)))
    
    ab = np.zeros((2*n-1, n))

akochepasov

Install WSL2 in Win10

Install Docker

https://docs.microsoft.com/en-us/windows/wsl/tutorials/wsl-containers#install-docker-desktop

Install CentOS through docker image (use tag centos:7)

https://docs.microsoft.com/en-us/windows/wsl/use-custom-distro
(set as default linux: wsl --set-default CentOS-7)

Install Dev tools from RH SCL

akochepasov

%%time
from itertools import combinations as _combu

import numpy as np
from scipy.optimize import linprog

def inversions(X):
    # build inequalities
    A = [v2 - v1 for v2, v1 in _combu(X, 2)]

akochepasov

/********   Header Files ********/
#include <iostream>
#include <sstream>
#include <stdio.h>
#include <string.h>

#include <string>

#include <vector>
#include <queue>