View below the readme mirror from my Github repo. Scroll down for my Python3 evaluation script.

….Or visit the page directly: https://github.com/Jesssullivan/ChapelTests 

ChapelTests

Investigating modern concurrent programming ideas with Chapel Language and Python 3

See here for dupe detection: /FileChecking-with-Chapel

Iterating through all files for custom tags / syntax: /GenericTagIterator

added 9/14/19:

The thinking here is one could write a global, shorthand / tag-based note manager making use of an efficient tag gathering tool like the example here. Gone are the days of actually needing a note manager- when the need presents itself, one could just add a calendar item, todo, etc with a global tag syntax.

The test uses $D for date: $D 09/14/19

//  Chapel-Language  //

// non-annotated file @ /GenericTagIterator/nScan.chpl //

use FileSystem;
use IO;
use Time;

config const V : bool=true;  // verbose logging, currently default!

module charMatches {
  var dates = {("")};  
}

// var sync1$ : sync bool=true;  not used in example- TODO: add sync$ var back in!!

proc charCheck(aFile, ref choice, sep, sepRange) {

    // note, reference argument (ref choice) is needed if using Chapel structure "module.domain"

    try {
        var line : string;
        var tmp = openreader(aFile);
        while(tmp.readline(line)) {
            if line.find(sep) > 0 {
                choice += line.split(sep)[sepRange];
                if V then writeln('adding '+ sep + ' ' + line.split(sep)[sepRange]);
            }
        }
    tmp.close();
    } catch {
      if V then writeln("caught err");
    }
}

coforall folder in walkdirs('check/') {
    for file in findfiles(folder) {
        charCheck(file, charMatches.dates, '$D ', 1..8);
    }
}

Get some Chapel:

In a (bash) shell, install Chapel:
Mac or Linux here, others refer to:

https://chapel-lang.org/docs/usingchapel/QUICKSTART.html

# For Linux bash:
git clone https://github.com/chapel-lang/chapel
tar xzf chapel-1.18.0.tar.gz
cd chapel-1.18.0
source util/setchplenv.bash
make
make check

#For Mac OSX bash:
# Just use homebrew
brew install chapel # :)

Get atom editor for Chapel Language support:

#Linux bash:
cd
sudo apt-get install atom
apm install language-chapel
# atom [yourfile.chpl]  # open/make a file with atom

# Mac OSX (download):
# https://github.com/atom/atom
# bash for Chapel language support
apm install language-chapel
# atom [yourfile.chpl]  # open/make a file with atom

Using the Chapel compiler

To compile with Chapel:

chpl MyFile.chpl # chpl command is self sufficient

# chpl one file class into another:

chpl -M classFile runFile.chpl

# to run a Chapel file:
./runFile

Now Some Python3 Evaluation:

# Ajacent to compiled FileCheck.chpl binary:

python3 Timer_FileCheck.py

Timer_FileCheck.py will loop FileCheck and find the average times it takes to complete, with a variety of additional arguments to toggle parallel and serial operation. The iterations are:

ListOptions = [Default, Serial_SE, Serial_SP, Serial_SE_SP]

  • Default – full parallel

  • Serial evaluation (–SE) but parallel domain creation

  • Serial domain creation (–SP) but parallel evaluation

  • Full serial (–SE –SP)

Output is saved as Time_FileCheck_Results.txt

  • Output is also logged after each of the (default 10) loops.

The idea is to evaluate a “–flag” -in this case, Serial or Parallel in FileCheck.chpl- to see of there are time benefits to parallel processing. In this case, there really are not any, because that program relies mostly on disk speed.

Evaluation Test:

# Time_FileCheck.py
#
# A WIP by Jess Sullivan
#
# evaluate average run speed of both serial and parallel versions
# of FileCheck.chpl  --  NOTE: coforall is used in both BY DEFAULT.
# This is to bypass the slow findfiles() method by dividing file searches
# by number of directories.

import subprocess
import time

File = "./FileCheck" # chapel to run

# default false, use for evaluation
SE = "--SE=true"

# default false, use for evaluation
SP = "--SP=true" # no coforall looping anywhere

# default true, make it false:
R = "--R=false"  #  do not let chapel compile a report per run

# default true, make it false:
T = "--T=false" # no internal chapel timers

# default true, make it false:
V = "--V=false"  #  use verbose logging?

# default is false
bug = "--debug=false"

Default = (File, R, T, V, bug) # default parallel operation
Serial_SE = (File, R, T, V, bug, SE)
Serial_SP = (File, R, T, V, bug, SP)
Serial_SE_SP = (File, R, T, V, bug, SP, SE)


ListOptions = [Default, Serial_SE, Serial_SP, Serial_SE_SP]

loopNum = 10 # iterations of each runTime for an average speed.

# setup output file
file = open("Time_FileCheck_Results.txt", "w")

file.write(str('eval ' + str(loopNum) + ' loops for ' + str(len(ListOptions)) + ' FileCheck Options' + "\n\\"))

def iterateWithArgs(loops, args, runTime):
    for l in range(loops):
        start = time.time()
        subprocess.run(args)
        end = time.time()
        runTime.append(end-start)

for option in ListOptions:
    runTime = []
    iterateWithArgs(loopNum, option, runTime)
    file.write("average runTime for FileCheck with "+ str(option) + "options is " + "\n\\")
    file.write(str(sum(runTime) / loopNum) +"\n\\")
    print("average runTime for FileCheck with " + str(option) + " options is " + "\n\\")
    print(str(sum(runTime) / loopNum) +"\n\\")

file.close()