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var url = '/api/v1/courses/' + (typeof ENV.COURSE !== 'undefined' ? ENV.COURSE.id : ENV.course.id) + '/users';$.getJSON(url, 'per_page=100&include[]=email', function(d) {  console.log(d.map(function(e) {    return [ 'name', 'login_id', 'email' ].map(function(f) {      return e[f];    }).join('\t');  }).join('\n'));});

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WARNING: boolean? already refers to: #'clojure.core/boolean? in namespace: medley.core, being replaced by: #'medley.core/boolean?
clojure.lang.Compiler$CompilerException: Syntax error reading source at (cider/nrepl/middleware/test.clj:103:57).
#:clojure.error{:phase :read-source, :line 103, :column 57, :source "cider/nrepl/middleware/test.clj"}
 at clojure.lang.Compiler.load (Compiler.java:7642)
    clojure.lang.RT.loadResourceScript (RT.java:381)
    clojure.lang.RT.loadResourceScript (RT.java:372)
    clojure.lang.RT.load (RT.java:463)
    clojure.lang.RT.load (RT.java:428)
    clojure.core$load$fn__6824.invoke (core.clj:6126)
    clojure.core$load.invokeStatic (core.clj:6125)

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class TreeNode(object):
    def __init__(self, x):
        self.value = x
        self.left = None
        self.right = None


class BinaryTree(object):
    def __init__(self, root):
        self.root = TreeNode(root) #set the root of the tree

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from typing import Generic, List, TypeVar

T = TypeVar("T")


class Stack(Generic[T]):
    def __init__(self) -> None:
        self._container: List[T] = []

    def push(self, item: T) -> None:

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# coding: utf-8

import numpy as np
import gym
import ppaquette_gym_doom
from keras.models import Sequential
from keras.layers import Dense, Activation, Flatten
from keras.optimizers import Adam
from rl.agents.dqn import DQNAgent
from rl.policy import BoltzmannQPolicy

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# views.py
# ========
def add_file(request, project_id):
    if request.method == 'POST':
        form = VennCsvForm(request.POST, request.FILES)
        if form.is_valid():
            new_file = VennCsv(file=request.FILES['file'])
            new_file.user = request.user
            new_file.project = get_object_or_404(VennProject, pk=project_id)
            new_file.save()

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###### S1400707GEM_1
.
├── $RECYCLE.BIN
│   └── S-1-5-21-4038060156-87135356-2143169266-1001
│       └── desktop.ini
├── Configuration.xml
├── Eclipse
│   └── workspace
│       └── snpAnnotationForBacteria
│           ├── SAM18146101_s_1.out-Variants-snpEff-test.txt

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library(bnlearn)

options(echo=TRUE)
args <- commandArgs(trailingOnly = TRUE)
print(args)

data <- read.table(args[1], sep = ",", header = TRUE)
col_names <- names(data)
data[, col_names] <- lapply(data[,col_names] , factor)

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#!/bin/sh
#SBATCH --time=24:00:00          # Run time in hh:mm:ss
#SBATCH --mem-per-cpu=16384       # Minimum memory required per CPU (in megabytes)
#SBATCH --job-name=bnp-bootstrap
#SBATCH --error=/work/otu/hdogan/job.%J.err
#SBATCH --output=/work/otu/hdogan/job.%J.out

Rscript bootstrap.R data.csv

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int main(int argc, char* argv[]) {
    
    namespace spd = spdlog;

    try {
        //Create console, multithreaded logger
        auto console = spd::stdout_logger_mt("console");
        console->info("Bayesian Network Build");

        int k = atoi(argv[2]);