JeremyMcCormick

[Tech Advancing] [Information] Flushing old Research Manager values.
UnityEngine.StackTraceUtility:ExtractStackTrace ()
Verse.Log:Message (string)
TechAdvancing.LogOutput:WriteLogMessage (TechAdvancing.Errorlevel,string)
TechAdvancing.TA_ResearchManager:FlushCfg ()
TechAdvancing.WorldCompSaveHandler:ExposeData ()
Verse.ScribeExtractor:SaveableFromNode<RimWorld.Planet.WorldComponent> (System.Xml.XmlNode,object[])
Verse.Scribe_Collections:Look<RimWorld.Planet.WorldComponent> (System.Collections.Generic.List`1<RimWorld.Planet.WorldComponent>&,bool,string,Verse.LookMode,object[])
Verse.Scribe_Collections:Look<RimWorld.Planet.WorldComponent> (System.Collections.Generic.List`1<RimWorld.Planet.WorldComponent>&,string,Verse.LookMode,object[])
RimWorld.Planet.World:ExposeComponents ()

JeremyMcCormick

# snippet: not all code included

# revised loop to do cross-validation
for (m in 1:length(allModels)) {
  allpredicted = rep(NA,n)   # storage for honest predictions
  
  for (ii in 1: nfolds) {    # ii is an easier string to search for index
    groupii = (cvgroups == ii)
    trainset = bodyfat[!groupii,]  # all data EXCEPT for group ii
    testset = bodyfat[groupii, ]   # data in group ii

JeremyMcCormick

data = read.csv("mydata.csv")

n = nrow(data) 
nfolds = 5 # 5-fold CV
groups = rep(1:nfolds, length=n)
set.seed(2)
cvgroups = sample(groups, n)

allpredicted = rep(NA, n)

JeremyMcCormick

"""
Connect to an MS SQL Server and execute a query
"""

import pyodbc

conn = pyodbc.connect('Driver={SQL Server};'
                      'Server=THINKSGIVING\SQL;'
                      'Database=AdventureWorks2017;'
                      'Trusted_Connection=yes;')

JeremyMcCormick

for f in $(find src/ include/ hps_eve.cxx -type f); do r=$(cat $f | awk 'NF' | wc -l); echo $f:$r; done

JeremyMcCormick

    auto vec = step->GetPreStepPoint()->GetPosition();
    const double pos[] = {vec[0], vec[1], vec[2]};
    double bfield[] = {0, 0, 0, 0};
    G4StepPoint* pre = step->GetPreStepPoint();
    G4FieldManager* globalFieldMgr = G4TransportationManager::GetTransportationManager()-> GetFieldManager();
    globalFieldMgr->GetDetectorField()->GetFieldValue(pos, bfield);
    std::cout << ">>>> Field val: " << pre->GetPosition() << " -> ("
                << bfield[0] << ", " << bfield[1] << ", " << bfield[2] << ") " << std::endl;

JeremyMcCormick

#include <vector>
#include <iostream>

#include "TEveManager.h"
#include "TEveBrowser.h"
#include "TEveGeoNode.h"
#include "TEveScene.h"
#include "TEveViewer.h"
#include "TGLViewer.h"

JeremyMcCormick

#include <vector>

void MakeGeometry() {
    TGeoManager *geom = new TGeoManager ("simple1", "Simple geometry");

    //--- define some materials
    TGeoMaterial *matVacuum = new TGeoMaterial ("Vacuum", 0, 0, 0);
    TGeoMaterial *matAl = new TGeoMaterial ("Al", 26.98, 13, 2.7);
    //--- define some media
    TGeoMedium *Vacuum = new TGeoMedium ("Vacuum", 1, matVacuum);

JeremyMcCormick

import boto3

# For a Boto3 client.
ddb = boto3.client('dynamodb', endpoint_url='http://localhost:8000')
response = ddb.list_tables()
print(response)

# For a Boto3 service resource
ddb = boto3.resource('dynamodb', endpoint_url='http://localhost:8000')
print(list(ddb.tables.all()))

JeremyMcCormick

JupyterHub on AWS

EC2 Setup

• Log in to AWS
• Go to a sensible region
• Start a new instance with Ubuntu Trusty (14.04) - compute-optimised instances have a high vCPU:memory ratio, and the lowest-cost CPU time. c4.2xlarge is a decent choice.
• Set security group (firewall) to have ports 22, 80, and 443 open (SSH, HTTP, HTTPS)
• If you want a static IP address (for long-running instances) then select Elastic IP for this VM
• If you want to use HTTPS, you'll probably need a paid certificate, or to use Amazon's Route 53 to get a non-Amazon domain (to avoid region blocking).