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#!/bin/bash
TIMEOUT=60 # in seconds
TIMESTEP=3 # in seconds
JOB_NAME="tunnel" # any unique name

SCRIPT="/path/to/interactive.sbatch" # modify accordingly
# It starts an OpenSSH server to enable interactive sessions, allowing IDEs like VSCode to connect remotely.
# Here is an example script: https://crc-pages.pitt.edu/user-manual/slurm/vscode/#steps-performed-only-once

main () {

fanurs

env_prompt: '($(basename {default_env})) '
channels:
   - defaults
   - conda-forge
pkgs_dirs:
   - /optional/directory/in/case/your/home/directory/is/small/.conda/pkgs

fanurs

gs -sDEVICE=pdfwrite -dCompatibilityLevel=1.5 -dPDFSETTINGS=/default -dNOPAUSE -dQUIET -dBATCH -dDetectDuplicateImages -dCompressFonts=true -dDownsampleColorImages=true -dColorImageResolution=200 -dDownsampleGrayImages=true -dGrayImageResolution=250 -sOutputFile=compressed_main.pdf

fanurs

# SSH after version 7.5 provides ProxyJump (-J flag)
# name: your username in the remote server
# when using Windows PowerShell, you may need to replace "ssh" by "ssh.exe"
ssh -J name@intermediateserver name@remoteserver

# In the case of multiple intermediate hosts, simple join all of them with comma
ssh -J name@intermediate1,name@intermediate2,name@intermediate3 name@remoteserver

# SSH before version 7.5 would need to use ProxyCommand
ssh -o ProxyCommand="ssh -W %h:%p name@intermediateserver" name@remoteserver

fanurs

#!/bin/bash

#############################
# from "here" to "there"
#############################
scp source_files user@destination:/path/at/the/destination

# with jumphost
scp -o 'ProxyCommand ssh user@jumphost -W %h:%p' source_files user@destination:/path/at/the/destination

fanurs

#!/usr/bin/env python3
import argparse
import functools
import http.server
import threading

class ArgumentParser:
    def __init__(self):
        self.parser = argparse.ArgumentParser()
        self.parser.add_argument("port", type=int, default=9090, help="port to listen on")

fanurs

import matplotlib as mpl
import matplotlib.pyplot as plt

# some pseudo-data (incomplete)
df1 = ...
df2 = ...

fig, ax = plt.subplots()
ax.errorbar(df1.x, df1.y, yerr=df1.yerr, label='df1')
ax.errorbar(df2.x, df2.y, yerr=df2.yerr, label='df2')

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import concurrent.futures
import urllib
import numpy as np

links = {
    'IU': 'https://upload.wikimedia.org/wikipedia/commons/thumb/3/33/IU_at_%22Midnight_Runners%22_VIP_premiere%2C_7_August_2017_03.jpg/800px-IU_at_%22Midnight_Runners%22_VIP_premiere%2C_7_August_2017_03.jpg',
    'Stephen Curry': 'https://www.si.com/.image/ar_233:100%2Cc_fill%2Ccs_srgb%2Cg_faces:center%2Cq_auto:good%2Cw_1920/MTg4MDIzNjkxMDA5ODYxNDE4/stephen-curry-smiles-iso.webp',
    'Syed Saddiq': 'https://media2.malaymail.com/uploads/articles/2018/2018-08/20180802YM21.jpg',
    'Terence Tao': 'https://s3.amazonaws.com/cms.ipressroom.com/173/files/20147/53e288debd26f511d800600e_Terence_Tao/Terence_Tao_c4560e18-0bf8-4bab-8daa-7e74d3acf907-prv.jpg',
}

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import cProfile
import pstats

with cProfile.Profile() as pr:
    routine_to_measure()
stats = pstats.Stats(pr)
stats.sort_stats(pstats.SortKey.TIME)

# print profiling result
# Method 1

fanurs

Please note that the n.e. in the syntax column means "not existing".
There is a way, but it's too complicated to fit into the column. You can find a helpful link in the List section about it.

          || visible in terminal ||   visible in file   || existing
  Syntax  ||  StdOut  |  StdErr  ||  StdOut  |  StdErr  ||   file   
==========++==========+==========++==========+==========++===========
    >     ||    no    |   yes    ||   yes    |    no    || overwrite
    >>    ||    no    |   yes    ||   yes    |    no    ||  append
          ||          |          ||          |          ||
   2>     ||   yes    |    no    ||    no    |   yes    || overwrite