The goal of this vignette is to describe the basic functionality of the binman
package.
binman
(Binary Manager) is an R package that allows the user to manage the downloading of third party binaries. The downloading of binaries is split into three parts: the pre-download, the download and the post-download. Each part of the download is controlled by an appropriate function: predlfunction, dlfunction and postdlfunction respectively.
The pre-download function should return up-to its final point a named list of data.frames. The name of each data.frame corresponds to a “platform”. Each individual data.frame should be composed of three columns namely “version”, “url” and “file”. This named list of data.frames can then be passed to the assign_directory
function.
mypredl_fun <- function(...){
# code to return named list of data.frames
assign_directory(mynamedlist, "myappname")
}
Directories are assigned using the rappdirs
package. See rappdirs::user_data_dir
for more OS specific information.
The download function should take as its primary input the output given by assign_directory
that is a named list of data.frames with column names “version”, “url”, “file”, “dir” and “exists”.
The download function should process the list downloading the “url” to the given directory “dir” assigning it the file-name “file”. Whether the download is attempted may be dictated on the value of the “exists” variable (For example an overwrite argument in the download function).
The download function should return a single data.frame with columns “platform”, “file” and “processed”. The “platform” column indicates what platform the file downloaded relates to. The “file” column gives the full path to the downloaded file. The “processed” column indicates whether the file was downloaded/processed.
mydl_fun <- function(dllist, ...){
# dllist is output from a predlfunction with final output from assign_directory
# CODE here to perform download
data.frame(
platform = platform,
file = file,
processed = processed,
stringsAsFactors = FALSE
)
}
The post-download function takes as its primary input the output given by a “download function” that is a data.frame with column names “platform”, “file” and “processed”.
The purpose of the post-download function is to process the downloaded files after the download. This could involve changing the file properties such as the mode, unzip/untar a downloaded zip/tar file etc.
The three functions mentioned previously are combined together to define a process for downloading the binary file. The user stipulates the required functions and arguments by way of a YAML format file. For example:
name: superduperapp
predlfunction:
"superduperapp::predl_superduper":
appname: "superduperapp"
dlfunction:
"superduperapp::download_superduper": []
postdlfunction:
"superduperapp::postdl_superduper": []
The defined YAML file is then processed by the process_yaml
function. The YAML file needs to define the three required functions with any arguments and also define a name.
The following is an example of using binman to get the github assets from a project. The project is https://github.com/lightbody/browsermob-proxy/releases . When a new version is released a zipped binary is added as an “asset”. A JSON representation of the project releases is available at https://api.github.com/repos/lightbody/browsermob-proxy/releases. We shall breakdown the process into its three functional parts.
Firstly we note we have JSON data so we parse the JSON from the URL:
bmpURL <- "https://api.github.com/repos/lightbody/browsermob-proxy/releases"
bmpData <- jsonlite::fromJSON(bmpURL)
This gives us a list of 10 releases. A github release (https://help.github.com/articles/creating-releases/) should have a version number.
version <- bmpData[["tag_name"]]
> version
[1] "browsermob-proxy-2.1.2" "browsermob-proxy-2.1.1"
[3] "browsermob-proxy-2.1.0" "browsermob-proxy-2.1.0-beta-6"
[5] "browsermob-proxy-2.1.0-beta-5" "browsermob-proxy-2.1.0-beta-4"
[7] "browsermob-proxy-2.1.0-beta-3" "browsermob-proxy-2.1.0-beta-2"
[9] "browsermob-proxy-2.1.0-beta-1" "browsermob-proxy-2.0.0"
This is our version data but we may want to tidy it up so:
versionregex <- c("browsermob-proxy-(.*)$", "\\1")
version <- gsub(versionregex[1], versionregex[2], version)
> version
[1] "2.1.2" "2.1.1" "2.1.0" "2.1.0-beta-6" "2.1.0-beta-5"
[6] "2.1.0-beta-4" "2.1.0-beta-3" "2.1.0-beta-2" "2.1.0-beta-1" "2.0.0"
Each release has “assets” associated with it (a zip file).
assets <- bmpData[["assets"]]
> length(assets)
[1] 10
The assets will contain the other information we need for our pre-download function.
From each assets item we would like the file-name:
bmpFiles <- vapply(assets, "[[", character(1), "name")
> bmpFiles
[1] "browsermob-proxy-2.1.2-bin.zip" "browsermob-proxy-2.1.1-bin.zip"
[3] "browsermob-proxy-2.1.0-bin.zip" "browsermob-proxy-2.1.0-beta-6-bin.zip"
[5] "browsermob-proxy-2.1.0-beta-5-bin.zip" "browsermob-proxy-2.1.0-beta-4-bin.zip"
[7] "browsermob-proxy-2.1.0-beta-3-bin.zip" "browsermob-proxy-2.1.0-beta-2-bin.zip"
[9] "browsermob-proxy-2.1.0-beta-1-bin.zip" "browsermob-proxy-2.0.0-bin.zip"
and the URL for that file:
bmpURLs <- vapply(assets, "[[", character(1), "browser_download_url")
> bmpURLs
[1] "https://github.com/lightbody/browsermob-proxy/releases/download/browsermob-proxy-2.1.2/browsermob-proxy-2.1.2-bin.zip"
[2] "https://github.com/lightbody/browsermob-proxy/releases/download/browsermob-proxy-2.1.1/browsermob-proxy-2.1.1-bin.zip"
[3] "https://github.com/lightbody/browsermob-proxy/releases/download/browsermob-proxy-2.1.0/browsermob-proxy-2.1.0-bin.zip"
[4] "https://github.com/lightbody/browsermob-proxy/releases/download/browsermob-proxy-2.1.0-beta-6/browsermob-proxy-2.1.0-beta-6-bin.zip"
[5] "https://github.com/lightbody/browsermob-proxy/releases/download/browsermob-proxy-2.1.0-beta-5/browsermob-proxy-2.1.0-beta-5-bin.zip"
[6] "https://github.com/lightbody/browsermob-proxy/releases/download/browsermob-proxy-2.1.0-beta-4/browsermob-proxy-2.1.0-beta-4-bin.zip"
[7] "https://github.com/lightbody/browsermob-proxy/releases/download/browsermob-proxy-2.1.0-beta-3/browsermob-proxy-2.1.0-beta-3-bin.zip"
[8] "https://github.com/lightbody/browsermob-proxy/releases/download/browsermob-proxy-2.1.0-beta-2/browsermob-proxy-2.1.0-beta-2-bin.zip"
[9] "https://github.com/lightbody/browsermob-proxy/releases/download/browsermob-proxy-2.1.0-beta-1/browsermob-proxy-2.1.0-beta-1-bin.zip"
[10] "https://github.com/lightbody/browsermob-proxy/releases/download/browsermob-proxy-2.0.0/browsermob-proxy-2.0.0-bin.zip"
In the case of BMP we have a single platform which we could denote “generic”. So we could pass the following:
dllist <- list(
"generic" = data.frame(version = version,
url = bmpURLs,
file = bmpFiles,
stringsAsFactors = FALSE)
)
Then finally we pass this list to the assign_directory
function:
predlOut <- assign_directory(dllist, "bmpApp")
> str(predlOut, max.level = 2)
List of 1
$ generic:'data.frame': 10 obs. of 5 variables:
..$ version: chr [1:10] "2.1.2" "2.1.1" "2.1.0" "2.1.0-beta-6" ...
..$ url : chr [1:10] "https://github.com/lightbody/browsermob-proxy/releases/download/browsermob-proxy-2.1.2/browsermob-proxy-2.1.2-bin.zip" "https://github.com/lightbody/browsermob-proxy/releases/download/browsermob-proxy-2.1.1/browsermob-proxy-2.1.1-bin.zip" "https://github.com/lightbody/browsermob-proxy/releases/download/browsermob-proxy-2.1.0/browsermob-proxy-2.1.0-bin.zip" "https://github.com/lightbody/browsermob-proxy/releases/download/browsermob-proxy-2.1.0-beta-6/browsermob-proxy-2.1.0-beta-6-bin"| __truncated__ ...
..$ file : chr [1:10] "browsermob-proxy-2.1.2-bin.zip" "browsermob-proxy-2.1.1-bin.zip" "browsermob-proxy-2.1.0-bin.zip" "browsermob-proxy-2.1.0-beta-6-bin.zip" ...
..$ dir :List of 10
..$ exists : logi [1:10] FALSE FALSE FALSE FALSE FALSE FALSE ...
In the binman
package there is a function template for github asset type downloads:
dllist <- predl_github_assets(
url = "https://api.github.com/repos/lightbody/browsermob-proxy/releases",
history = 3L,
platform = "generic",
appname = "bmproxy",
platformregex = "browsermob-proxy",
versionregex = c("browsermob-proxy-(.*)$", "\\1")
)
There are some extra arguments for generality but it basically performs the operations we outlined above.
The download for BMP is straightforward:
> dllist[["generic"]][1,]
version
1 2.1.2
url
1 https://github.com/lightbody/browsermob-proxy/releases/download/browsermob-proxy-2.1.2/browsermob-proxy-2.1.2-bin.zip
file dir
1 browsermob-proxy-2.1.2-bin.zip /home/john/.local/share/binman_bmproxy/generic/2.1.2
exists
1 FALSE
For each platform (there is only one “generic” platform in this case) we want to loop over the data.frame downloading the data at “url” to the “file” in the “dir”. If it already “exists” we may not perform the download.
In binman
there is a simple template function for this:
dlfiles <- download_files(dllist)
So we simply need to pass the list from the pre download function to this download function.
The files we receive from the Browser mob Proxy project are zipped. As a post processing operation we would like to unzip these files. The result of unzipping the files is a directory structure. In this case we do not change the mode of the ultimate binary which is contained in this directory structure.
Again binman
has a simple template function to unzip/untar a downloaded file so we pass our output from the download to this:
dlres <- unziptar_dlfiles(dlfiles)
We can incorporate our three functional calls into a YAML file for the Browser Mob Proxy application as follows:
name: bmproxy
predlfunction:
"binman::predl_github_assets":
url: "https://api.github.com/repos/lightbody/browsermob-proxy/releases"
platform:
- generic
history: 3
appname: "bmproxy"
platformregex:
- "browsermob-proxy"
versionregex:
- "browsermob-proxy-(.*)$"
- "\\1"
dlfunction:
"binman::download_files": []
postdlfunction:
"binman::unziptar_dlfiles": []
We have saved this file in the binman
package:
ymlfile <- system.file("examples", "yaml", "bmproxy.yml", package="binman")
We can now use the process-yaml
function to download the BMP binaries:
> process_yaml(ymlfile)
BEGIN: PREDOWNLOAD
BEGIN: DOWNLOAD
Creating directory: /home/john/.local/share/binman_bmproxy/generic/2.1.2
Downloading binary: https://github.com/lightbody/browsermob-proxy/releases/download/browsermob-proxy-2.1.2/browsermob-proxy-2.1.2-...
Creating directory: /home/john/.local/share/binman_bmproxy/generic/2.1.1
Downloading binary: https://github.com/lightbody/browsermob-proxy/releases/download/browsermob-proxy-2.1.1/browsermob-proxy-2.1.1-...
Creating directory: /home/john/.local/share/binman_bmproxy/generic/2.1.0
Downloading binary: https://github.com/lightbody/browsermob-proxy/releases/download/browsermob-proxy-2.1.0/browsermob-proxy-2.1.0-...
BEGIN: POSTDOWNLOAD
Looking at the resulting directory structure (this is for Linux the location of directories will be OS dependent):
john@ubuntu:~$ tree -d /home/john/.local/share/binman_bmproxy
/home/john/.local/share/binman_bmproxy
└── generic
├── 2.1.0
│ └── browsermob-proxy-2.1.0
│ ├── bin
│ │ └── conf
│ ├── lib
│ └── ssl-support
├── 2.1.1
│ └── browsermob-proxy-2.1.1
│ ├── bin
│ │ └── conf
│ ├── lib
│ └── ssl-support
└── 2.1.2
└── browsermob-proxy-2.1.2
├── bin
│ └── conf
├── lib
└── ssl-support
We see that binman
has downloaded and unzipped the binaries to appropriate directories.


Importance of Command Line Tool Output
Why is it so important to be comfortable using the command line tools and understanding and comprehending the output?
Understanding the output of command line tools could make or break your operation.
The GUI may not be available in all situations you encounter
Often times a command line tool must be used
9.1 Identify the importance of the output of command line tools
CMD.exe Basic Native Commands
set #view all env variables in command shell
where #find executables within the PATH variable
echo #repeat things
dir #look at folder contents
type #output contents of a file
findstr /I /R word #windows grep
hostname #system hostname
date /t #output system date (/t keeps it from trying to set)
time /t #output system time (/t keeps it from trying to set)
This is a small subset of the available commands. These commands can be put together and saved into a Batch (.bat) file and run automatically.
This allows for automation of tasks
SKILL 1: Employ commands using command line interface
1.1 Use command line commands to gain situational awareness of the current workstation
SKILL 4: Develop scripts
4.1 Discuss the purpose of creating a script
CMD.exe Native Command Redirection
> and >> - redirect STDOUT. Create/overwrite and Create/append.
Piping ( | ) - Sends output of one command to input of another.
Conditional processing symbols
& and ; - The second command executes regardless of the success/failure of the first command
&& - only execute the second command if the first command is successful
|| - only execute the second command if the first command fails
Nesting
#example: ((dir desktop && echo "success") || (echo "failure")) and ((dir desktopP && echo "success") || (echo "failure"))
SKILL 1: Employ commands using command line interface
1.1 Use command line commands to gain situational awareness of the current workstation
SKILL 4: Develop scripts
4.1 Discuss the purpose of creating a script
ACTIVITY
Windows Batch Script
(Using only CMD commands)
WMIC Command Basics
wmic /?
wmic process /?
wmic process get /all /format:list
wmic process list brief
wmic service list brief
wmic useraccount list brief
wmic nicconfig list brief
wmic nteventlog list brief
SKILL 2: Employ commands using Windows Management Instrumentation Command line
2.1 Use WMIC commands to gain situational awareness of the current workstation
ACTIVITY: Windows Batch Script using only WMIC commands
Intro to Powershell
Powershell. Powershell ISE is available for use.
Different versions of Powershell across windows versions.
Powershell 1.0 - Nov 2006 (XP)
Powershell 2.0 - Oct 2009 (7)
Powershell 3.0 - Sep 2012 (8)
Powershell 4.0 - Oct 2013 (8.1)
Powershell 5.0 - April 2014 (10)
Powershell uses commandlets (cmdlets).
Unique to powershell.
Follow a ‘verb-noun’ pattern
Ex. get-process
SKILL 3: Employ commands using PowerShell
Why use powershell?
Much more functionality than cmd
cmd.exe may be disabled, powershell may not
Powershell is object oriented.
Get-help
You can search for help and commands using the above syntax.
Get-help
You can get help on specific commands using the above syntax.
3.1 Identify the purpose of using PowerShell in operations
DEMO: open a powershell window, type ‘get-verb’ to help emphasize the verb-noun syntax
3.2 Demonstrate basic functionality of PowerShell
Running external commands (cmd.exe or sysinternals) will return a string.
Running a Powershell command will return an object.
DEMO: tasklist | get-member
Returns ‘system.string’
DEMO: get-process | get-member
Returns ‘powershell object’
An object is a data structure that contains properties and methods
Properties = data
Methods = functions or actions to take on properties.
Tasklist | get-member VS get-process | get-member
Compare the different control you have over the 2 commands
Address properties or methods:
object. --OR-- object.(args)
3.2 Demonstrate basic functionality of PowerShell
Main Components of Powershell
Internal and external commands. (?)
External = spawn new process
attrib
Internal = runs inside powershell process
ping, dir
Cmd.exe is ppid of all internal commands. (?)
Objects:
The output from a powershell command is an object.
Classes:
General term for grouped objects
WMIC and CIM
Common Information Model (CIM): meant to be cross platform
Windows Management Instrumentation (WMI) is windows specific
3.3 Describe the main components of PowerShell
Variables:
$a=”Hello World”
Command substitution:
$(get-process).name
Looping:
$(get-process).name | foreach-object {echo “$_ is a running process”}
$a=1..5; foreach ($i in $a) {echo “$i is a number”}
$x=0; while ($x -lt 100) {echo “this is loop number $x”; $x++}
Indexing:
$(get-process)[4] --OR-- $(get-process)[0..4]
**Indices always start at 0**
3.3 Describe the main components of PowerShell
Arithmetic:
1+1 == 2
1 + “dog” == “1dog”
“cat” + “dog” == “catdog” (strings concatenate)
$a=”1”; $a+1 == “11”
Because $a is a string. Use a typecast to avoid this: [int]$a+1 == 2
While ($true) {$date = get-date -format hh:mm; if ($date -eq “05:00”){break}}
Functions
A list of commands that, when together, serve a purpose.
Ex. Function dostuff {get-date; get-process; get-service}
Once the function has been declared, you simply issue the name of the function as a command and it will execute the commands inside the function.
3.3 Describe the main components of PowerShell
Multithreading
A technique that allows a single set of code to be used by several processors at different stages of execution.
To multithread in Powershell, use jobs
https://www.youtube.com/watch?v=4QnJPCqaOWQ
https://www.youtube.com/watch?v=kj98OhCW-xs
DEMO:
get-ciminstance -namespace root\securitycenter2 -classname antispywareproduct
WMI is organized in namespaces, like folder that correlate to products/technology
Get-wmiobject -class win32_BIOS
When a cmdlet is run in PowerShell, the object is output in a default way.
You can format the data that you recieve by piping the object through a format cmdlet (format-table, format-list, etc)
3.3 Describe the main components of PowerShell
DEMO: command and explain the parts of the command and the output to the students
Get-process | get-member
Look at associated properties
Get-process | select threads, processname, id
Choose a few different properties to view
Get-process | select threads, processname, id | where {$_.id -lt 1000}
Get more granular and view specific process properties
3.3 Describe the main components of PowerShell
Powershell Enumeration Scripting
Set-ExecutionPolicy Unrestricted -Scope CurrentUser
This command is required before running any Powershell scripts
**NOTE: Powershell supports tab completion for files, commands, and options.**
Aliases are available to help all types of users (cmd.exe and bash users)
Ex. Get-childitem: ls, dir, gci
The ForEach (alias %) command has two distinct forms:
ForEach ($f in Get-ChildItem) {
Write-output “$($f.Length) $($f.FullName)” }
Get-ChildItem | ForEach {
Write-output “$($_.Length) $($_.FullName)” }
4.3 Create a Powershell script that will perform basic enumeration of a workstation
DEMO: Basic Poswershell (.ps1) script
The Where (alias ?) command can be used to filter (e.g. files over 1,000 bytes):
Get-ChildItem | Where { $_.Length -gt 1000 } | Select Length, Name
Output can be controlled with Format-Table or Format-List
Get-ChildItem | Format-Table -AutoSize
Get-ChildItem | Format-List | more
Standard options are available
Remove-Item does_not_exist.txt
Remove-Item does_not_exist.txt -ErrorAction SilentlyContinue
New-Item -Type File it_exists.txt
Remove-Item it_exists.txt -Verbose
4.3 Create a Powershell script that will perform basic enumeration of a workstation
Functions in Powershell have unexpected quirks:
function summer($a,$b) {
$total = $a + $b
echo "a=$a b=$b sum=$total"
return $total
}
$sum = summer 9 10
Write-Output "Sum is $sum"
summer 1 2
summer 5, 6
summer(7, 8)
summer(7, 8) (9,10)
4.3 Create a Powershell script that will perform basic enumeration of a workstation
EXERCISE: Through the Wire
EXERCISE
THROUGH THE WIRE
Day 3
Review: Creation of batch script and powershell script. Use your own of the ones located at the following address:
http://we_should_pre-write_the_scripts_and_host_on_git
http://we_should_pre-Write_the_output_as_well_just_in_case
Demo a batch script that will perform a basic enumeration of a windows workstation.
http://link_here_for_script
Be aware that variables (i.e. %i) must be doubled in a batch file (%%i)
4.2 Create a batch script that will perform a basic enumeration of a workstation
SysInternals Tools
/?: provides help menu for each tool
PROCESSES
psinfo: shows basic system info, remote capabilities.
psinfo -h -s -d -nobanner
pslist: shows processes in tree format.
pslist -t
procmon: used to view, monitor, filter on processes. (GUI)
autoruns: checks autorun registry locations.
handle: shows handles of all processes.
handle -p (matches partial names)
1.2 Use System Internal tools to gain situational awareness of the current workstation
USERS
logonsessions
logonsessions -p
psloggedon
NETWORKING
tcpview
1.2 Use System Internal tools to gain situational awareness of the current workstation
DISCUSSION: What is situational awareness?
What is running on the system?
Processes
Services
Scheduled tasks
Registry keys
Users on the system?
Accounts
Groups
Domain
Situational Awareness Discussion
Networking
System networking settings
Local subnet
Active Network Connections
Routing
Firewall settings
Logging and Auditing
Windows event logs
Windows auditing policies
Situational Awareness Discussion


--- layout: page title: camprodon-fair and holidays region: girona permalink: girona/camprodon/fair_and_holiday ---
October 12 ~ 14
December 6 ~ 8
September 8, 9
July 10th ~ August 15th
Sunday, August 4th 19.00h


Sphinx Build Pack on Heroku
Heroku’s latest Cedar stack supports running anything. Heroku’s officially supported languages actually have their buildpacks public via Heroku’s github, you can view several of them at:
There have even been some created as fun weekend hacks such as the NES Rom Buildpack.
Recently at Heroku my teams have started exploring new forms of collaborating and documenting. In particular editing a wiki for communication is contrary to our regular workflow. Much of our day is spent in code and git. To edit a wiki within a web browser and using some markup we’re less familiar with is an overhead we were aiming to reduce. As a result we’ve tried a few things, the first was simply using a github repo to edit markdown.
Personally I have always been a fan of Sphinx documentation. However, Sphinx has no means to secure a site out of the box. Generating the static site then running it being a Rack app to secure it seemed like a few extra steps that would hinder workflow. As a result I set out to build the Sphinx buildpack which would let you push a Sphinx project to Heroku and automatically run your documentation. The buildpack itself supports two modes, public documentation and a private documentation. To have your documentation secured in private mode you simple need to add your google apps domain as a config var heroku config:add DOMAIN=mydomain.com
.
If you need more information about setting up OpenID check out my recent post Securing your organization with OpenID
1 2 3 4 5 6 7 |
|


You will need to
create a personal access token
with the
read:org
scope.
Personal Access Token:
Save


1. Introduction
1.1. Purpose of the program
MC is an ionizing radiation Monte-Carlo transport library and reference application.
Primarily MC is Monte Carlo project for dosimetry modelling in the field of radiation oncology.
1.2. History
This project has started from the EGS-Nova: An Adaptation of EGS in C/C++ many years ago.
Thanks a lot to James C. Satterthwaite who has ported EGS4 to well structured C language application.
MC package was evolving in the process of many tasks solving in the field of radiotherapy dosimetry. Among them simulations of pencil beam dose distributions, radiotherapy unit radiation beam forming systems simulations, radiation source modeling, etc.
Among them are simulations of pencil beam dose distributions, radiotherapy unit radiation beam forming systems simulations, radiation source modeling, etc.
1.3. Project motivation
EGS4 is simple and attractive radiation transport simulation tool. Unfortunately, it is almost impossible to manage this system in modern software business world. Other Monte Carlo solutions (NRCEGS is still EGS with Mortran in core) are less benchmarked and friendly to radiotherapy community.
MC was not designed to simply port EGS4. Porting was perfectly done in EGS-Nova. For unclear reasons NOVA disappeared from the internet some years ago. MC development was originally driven by the necessity of radiation source modelling and simplifying complex geometry scenes programming. So, it is not as flexible as EGS4.
Important reason for the creating new MC engine was requirement of programming new complex geometries.
The last but not least reason is that C++ classical object oriented MC system is a good educational and self-educational tool for studying radiation transport field and improving programming skills.
1.4. Important decisions
The biggest philosophical difference compare to EGS4 is assumption, that scene objects form a linear chain. Particle leaving any object can hit only next object if moved in positive Z direction or previous object if moved in negative direction. This is strong restriction. There are two mechanisms to work around. One is programming complex objects as a separate object with its own logic like conventional EGS4. The other work around is supporting nested objects.
Transport logic (managing events and their processing) keeps physics nature from EGS4, but has completely different implementation. It may be difficult to understand. Advantage is all this logic is implemented in compact form in a single class mcTransport.
1.5. Physics
MC package implements EGS4 physics models without modifications.
1.6. Feature directions
Replace PEGS4 data file with cross-sections generation on the fly.
Verify and improve radiation transport physics.
Documentation.
More samples.


Class MatrixHeaderDescriptor
The descriptor that is used to describe one element of the matrix header.
Implements
Inherited Members
Namespace: FastReport.Matrix
Assembly: FastReport.OpenSource.dll
Syntax
public class MatrixHeaderDescriptor : MatrixDescriptor, IFRSerializable
Remarks
The MatrixHeaderDescriptor class is used to define one header element of the matrix (either the column element or row element). The key properties are Expression, Sort and Totals.
To set visual appearance of the element, use the TemplateCell property. To set visual appearance of the "total" element, use the TemplateTotalCell property.
The collection of descriptors used to represent the matrix header is stored in the MatrixObject.Data.Columns and MatrixObject.Data.Rows properties.
Constructors
MatrixHeaderDescriptor()
Initializes a new instance of the MatrixHeaderDescriptor class with default settings.
Declaration
public MatrixHeaderDescriptor()
MatrixHeaderDescriptor(String)
Initializes a new instance of the MatrixHeaderDescriptor class with specified expression.
Declaration
public MatrixHeaderDescriptor(string expression)
Parameters
| Type | Name | Description |
|---|---|---|
| System.String | expression | The descriptor's expression. |
MatrixHeaderDescriptor(String, SortOrder, Boolean)
Initializes a new instance of the MatrixHeaderDescriptor class with specified expression, sort order and totals.
Declaration
public MatrixHeaderDescriptor(string expression, SortOrder sort, bool totals)
Parameters
| Type | Name | Description |
|---|---|---|
| System.String | expression | The descriptor's expression. |
| SortOrder | sort | Sort order used to sort header values. |
| System.Boolean | totals | Indicates whether to show the "total" element. |
MatrixHeaderDescriptor(String, Boolean)
Initializes a new instance of the MatrixHeaderDescriptor class with specified expression and totals.
Declaration
public MatrixHeaderDescriptor(string expression, bool totals)
Parameters
| Type | Name | Description |
|---|---|---|
| System.String | expression | The descriptor's expression. |
| System.Boolean | totals | Indicates whether to show the "total" element. |
Properties
PageBreak
Gets or sets a value indicating that the page break must be printed before this element.
Declaration
public bool PageBreak { get; set; }
Property Value
| Type | Description |
|---|---|
| System.Boolean |
Remarks
Page break is not printed before the very first element.
Sort
Gets or sets the sort order of header values.
Declaration
public SortOrder Sort { get; set; }
Property Value
| Type | Description |
|---|---|
| SortOrder |
Remarks
This property determines how the values displayed in this element are sorted. The default sort is ascending.
SuppressTotals
Gets or sets a value that determines whether it is necessary to suppress totals if there is only one value in a group.
Declaration
public bool SuppressTotals { get; set; }
Property Value
| Type | Description |
|---|---|
| System.Boolean |
TemplateTotalCell
Gets or sets the template cell bound to the "total" element of this descriptor.
Declaration
public TableCell TemplateTotalCell { get; set; }
Property Value
| Type | Description |
|---|---|
| TableCell |
Remarks
This property may be useful to change the "Total" text by something else.
note
Before using this property, you must initialize the matrix descriptors by calling the BuildTemplate() method.
Examples
This example shows how to change the "Total" element.
MatrixObject matrix;
matrix.Data.Rows[0].TemplateTotalCell.Text = "Grand Total";
matrix.Data.Rows[0].TemplateTotalCell.Fill = new SolidFill(Color.Green);
TemplateTotalColumn
Gets or sets the template column bound to the "total" element of this descriptor.
Declaration
public TableColumn TemplateTotalColumn { get; set; }
Property Value
| Type | Description |
|---|---|
| TableColumn |
Remarks
This property is for internal use; usually you don't need to use it.
TemplateTotalRow
Gets or sets the template row bound to the "total" element of this descriptor.
Declaration
public TableRow TemplateTotalRow { get; set; }
Property Value
| Type | Description |
|---|---|
| TableRow |
Remarks
This property is for internal use; usually you don't need to use it.
Totals
Gets or sets a value indicating that this element has associated "total" element.
Declaration
public bool Totals { get; set; }
Property Value
| Type | Description |
|---|---|
| System.Boolean |
Remarks
To access the matrix cell that is bound to the "Total" element, use the TemplateTotalCell property. It may be useful to change the "Total" text by something else.
Examples
This example shows how to change the "Total" text of the total element.
MatrixObject matrix;
matrix.Data.Rows[0].TemplateTotalCell.Text = "Grand Total";
TotalsFirst
Gets or sets the value indicating whether the total values must be printed before the data.
Declaration
public bool TotalsFirst { get; set; }
Property Value
| Type | Description |
|---|---|
| System.Boolean |
Methods
Assign(MatrixDescriptor)
Assigns values from another descriptor.
Declaration
public override void Assign(MatrixDescriptor source)
Parameters
| Type | Name | Description |
|---|---|---|
| MatrixDescriptor | source | Descriptor to assign values from. |
Overrides
Serialize(FRWriter)
Serializes the object.
Declaration
public override void Serialize(FRWriter writer)
Parameters
| Type | Name | Description |
|---|---|---|
| FRWriter | writer | Writer object. |


Getters and Setters for Backbone Model attributes
The Backbone.js Model class provides get and set methods to read and write Model attributes which is not a concise or natural as object property access. But it’s not difficult to add a class method to generate Model getter/setter properties so that you can do this in CoffeeScript:
person.name = 'Joe Bloggs'
ph = person.phone
instead of this:
person.set {name: 'Joe Bloggs'}
ph = person.get 'name'
The CoffeeScript example below shows how it’s done using the ECMAScript 5 Object.defineProperty function to define a Model attribute method. I’ve added the attribute class method to a BaseModel class which is inherited by application classes. To create a Model attribute property call the attribute method and pass it the name of the property.
Backbone = require 'backbone'
class BaseModel extends Backbone.Model
# Create model attribute getter/setter property.
@attribute = (attr) ->
Object.defineProperty @prototype, attr,
get: -> @get attr
set: (value) ->
attrs = {}
attrs[attr] = value
@set attrs
class Contact extends BaseModel
@attribute 'name'
@attribute 'phone'
p = new Contact()
p.name = 'Joe Bloggs'
p.phone = '1234'
console.log p.attributes # { name: 'Joe Bloggs', phone: '1234' }
Being able to create custom getter/setter properties is a testament to the little known power of JavaScript.
References


Functions useful for producing estimates from data that were collected using network reporting techniques like network scale-up, indirect sampling, network reporting, and sibling history.
| Version: | 0.1.1 |
| Depends: | R (≥ 2.11.0) |
| Imports: | functional, ggplot2, lazyeval, plyr, reshape2, stringr, dplyr, surveybootstrap |
| Suggests: | knitr, testthat |
| Published: | 2016-12-05 |
| Author: | Dennis M. Feehan [aut, cre], Matthew J. Salganik [ths] |
| Maintainer: | Dennis M. Feehan <feehan at berkeley.edu> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| SystemRequirements: | GNU make |
| Citation: | networkreporting citation info |
| Materials: | README NEWS |
| CRAN checks: | networkreporting results |
| Reference manual: | networkreporting.pdf |
| Vignettes: |
network scale-up |
| Package source: | networkreporting_0.1.1.tar.gz |
| Windows binaries: | r-devel: networkreporting_0.1.1.zip, r-release: networkreporting_0.1.1.zip, r-oldrel: networkreporting_0.1.1.zip |
| OS X binaries: | r-release: networkreporting_0.1.1.tgz, r-oldrel: networkreporting_0.1.1.tgz |
| Old sources: | networkreporting archive |
Please use the canonical form https://CRAN.R-project.org/package=networkreporting to link to this page.


Summary
The HTTP Strict Transport Security (HSTS) header is a mechanism that web sites have to communicate to the web browsers that all traffic exchanged with a given domain must always be sent over https, this will help protect the information from being passed over unencrypted requests.
Considering the importance of this security measure it is important to verify that the web site is using this HTTP header, in order to ensure that all the data travels encrypted from the web browser to the server.
The HTTP Strict Transport Security (HSTS) feature lets a web application to inform the browser, through the use of a special response header, that it should never establish a connection to the the specified domain servers using HTTP. Instead it should automatically establish all connection requests to access the site through HTTPS.
The HTTP strict transport security header uses two directives:
- max-age: to indicate the number of seconds that the browser should automatically convert all HTTP requests to HTTPS.
- includeSubDomains: to indicate that all web application’s sub-domains must use HTTPS.
Here's an example of the HSTS header implementation:
Strict-Transport-Security: max-age=60000; includeSubDomains
The use of this header by web applications must be checked to find if the following security issues could be produced:
- Attackers sniffing the network traffic and accessing the information transferred through an unencrypted channel.
- Attackers exploiting a man in the middle attack because of the problem of accepting certificates that are not trusted.
- Users who mistakenly entered an address in the browser putting HTTP instead of HTTPS, or users who click on a link in a web application which mistakenly indicated the http protocol.
How to Test
Testing for the presence of HSTS header can be done by checking for the existence of the HSTS header in the server's response in an interception proxy, or by using curl as follows:
$ curl -s -D- https://domain.com/ | grep Strict
Result expected:
Strict-Transport-Security: max-age=...
References


Monster Hunter: World's latest threat, The Deviljho, joins the PS4 action RPG in today's 2.00 update
Plus details on the game's first season, starting 6th April
4 hours agoPlus details on the game's first season, starting 6th April
4 hours agoCory Barlog discusses the personal journey behind the PS4 action epic ahead of the 20th April release date
4 hours agoGet prepped for sports game release with a round up of the changes coming this year
4 hours ago


Tsutsugo made available to MLB team by Yokohama
NEW YORK — Outfielder Yoshitomo Tsutsugo has been made available to major league teams through the posting process by Yokohama of Japan's Central League.
Major league clubs have until 5 p.m. on Dec 19 to negotiate with Tsutsugo, who turns 28 on Nov 26.
A corner outfielder, Tsutsugo hit .272 this year with 29 homers and 79 RBIs. He has a .285 average with 205 homers and 613 RBIs during 10 seasons with Yokohama.
Under the agreement reached between Major League Baseball and Nippon Professional Baseball after the 2017 season, the posting fee to Yokohama would be 20% of guaranteed money in a major league contract through $25 million, plus 17.5% above that through $50 million, plus 15% over that. A supplemental fee would equal 15% of any earned bonuses, escalators and compensation from option years that are exercised or become guaranteed.
The MLB commissioner’s office announced the posting on Monday.
© Copyright 2019 The Associated Press. All rights reserved. This material may not be published, broadcast, rewritten or redistributed.


3/24 email; with updates as of March 25, 2020, 1:40 p.m.
Last updated March 25, 2020, 1:40 p.m.
Message from Chancellor Matos Rodríguez
March 24, 2020
Dear CUNY Community,
The nationwide move to distance education necessitated by the coronavirus crisis has served to spotlight disparities that stratify the higher education landscape. In the days since CUNY re-opened classes under distance learning instruction, these matters of equity and access have already begun to surface on our campuses.
Motivated by these concerns, and in consultation with CUNY college presidents and deans, we have decided to institute a recalibration period beginning this Friday, March 27, through Wednesday April 1. Distance learning will resume on Thursday, April 2.
This period, which we are calling CUNY’s Recalibration Period for Educational Equity, will allow our colleges to continue their efforts to provide their students with access to the equipment they need to complete their semester requirements under these uncommon and unforeseen circumstances.
The Recalibration Period will also afford faculty time to consider ways to better support learning through, for example, the asynchronous delivery of classes and other best practices emerging across our University’s virtual classrooms. We are making this move before we get deeper into the semester, to ensure that we are upholding the University’s mission and giving each and every CUNY student an opportunity to thrive.
When we moved to distance learning, we sought to create safe conditions based on the best social distancing guidelines available at the time for students who needed computer equipment and broadband internet access to do their coursework in their campus computer labs. The fast-evolving nature of this pandemic, however, compelled Governor Cuomo to issue the New York State on PAUSE executive order, necessitating drastic density reduction measures that have effectively brought campus life to a halt.
To make sure that all students are equipped for distance learning, campuses have been purchasing and distributing additional hardware to students who need it in order to continue to fully participate in distance learning.
Now that we have had some time to identify aspects of distance learning that could stand to be improved, faculty will be able to use the Recalibration Period to fine-tune their practices, which should serve to improve educational outcomes. We’re also asking teachers to grant extra flexibility to students who might have had limited access to laptops and tablets since the rollout of distance learning on March 19. My most sincere thanks to all the faculty and staff who keep the University going while facing disruption, fatigue and anxiety in their personal lives.
The University’s previously scheduled Spring Recess will now run from Wednesday April 8 through Friday April 10, encompassing the beginning of Passover and Good Friday. For faculty, staff and students whose religious observation extends into the week of April 13, as always you have the right to request a religious exemption to observe the holiday and we will offer maximum flexibility in addressing the requests. CUNY’s guidance for religious exemptions can be found here and we will remind faculty and staff about our guidance as we get closer to that date.
The Recalibration Period for Educational Equity will be in place throughout CUNY with some important exceptions: Schools that offer programs and courses that were being taught online before the broader move to distance learning can proceed with the authorization of campus presidents and deans.
Guttman, LaGuardia and Kingsborough Community Colleges, which operate under a two-part, 18-week semester, rather than the more-common 15-week semester, will not be impacted, nor will our graduate and professional schools, which are smaller and reported less concerns with their students’ access to computers. These include the School of Professional Studies, the Graduate Center, the School of Law, the Craig Newmark Graduate School of Journalism, the Graduate School of Public Health and Health Policy and the School of Labor and Urban Studies. These schools will observe the spring recess as scheduled.
These extraordinary circumstances have prompted us to enact a flexible credit/no credit policy, under which students will have 20 days after they receive their grades to decide if they want to convert any or all of the letter grades they earn in their classes to Credit/No Credit (CR/NC) grading. The University will support students with pertinent information about the impact of CR/NC on their financial aid and academic progress.
Pending approval by the CUNY Board of Trustees, the policy will go into effect April 1, 2020 and applies to all CUNY institutions except the School of Law and the School of Medicine, which will implement their own policies. For additional details, visit the University’s comprehensive Coronavirus Updates page.
I want to close by thanking all of you for your continued perseverance in these uncertain and often troubling times. I’ve said before that CUNY is showing its resilience, and I know that will continue to be the case. As we walk together, it is equally important that we demonstrate our unfailing commitment to the imperative precepts of equity, access and opportunity for all.
Sincerely,
Felo
Please note that the rapidly evolving nature of this situation necessitates frequent evaluation and modification of our policies and plans, which are fluid and subject to change at any time. To ensure that you have the most up-to-date guidance, directives and resources, please check back frequently with CUNY.edu/coronavirus.


--- layout: splash permalink: / header: overlay_color: "#232323" overlay_image: /assets/images/slider/splash01.png cta_label: " The Concept" cta_url: "/concept/artipixoids_concept.pdf" caption: excerpt: 'Half generative art, half artificial life project with a focus on genetic cellular automata obeying energy conservation principle.' feature_row: - image_path: /assets/images/banners/xentica.png alt: "xentica" title: "XENTICA" excerpt: "XENTICA is the new aeon goddess of digital universe. Besides, it is the core framework, allowing us to build new CA modifications and run them on different parallel hardware." url: "https://github.com/a5kin/xentica/" btn_class: "btn--primary" btn_label: "Visit at GitHub" - image_path: /assets/images/banners/moire.png alt: "moire" title: "MOIRE" excerpt: "XENTICA is covered in MOIRE, Multi-Objective Interactive Runtime Environment. It is the official user interface, allowing us to run XENTICA models interactively." url: "https://github.com/a5kin/moire/" btn_class: "btn--primary" btn_label: "Visit at GitHub" - image_path: /assets/images/banners/vault.png alt: "vault" title: "VAULT" excerpt: "There is a rumor about a public place called VAULT for keeping and sharing all XENTICA mods over the world. Unfortunately, it is now locked for everyone, including core developers." btn_class: "btn--primary" btn_label: "Visit at GitHub" github: - excerpt: '' intro: - excerpt: 'The development is split up into 3 sub-projects.' --- {% include feature_row id="intro" type="center" %} {% include feature_row %}


| Interface | Description |
|---|---|
| IScriptContext |
Context-specific part of a script environment.
|
| IScriptEnv |
Container for global scripting-related state shared between all
IScriptContext objects. |
| IScriptEventDispatcher |
Interface for scheduling pieces of code to run on the main thread of a script context.
|
| IScriptExceptionHandler |
Handles exceptions from script code.
|
| IScriptFunction |
Java wrapper around a script function.
|
| IScriptLoader |
Loads script resources.
|
| IScriptThread |
Java wrapper around a script thread.
|
| Exception | Description |
|---|---|
| ScriptException |
Exception thrown by a script.
|
| Annotation Type | Description |
|---|---|
| ScriptFunction |
Annotation to mark methods that should be made available to the scripting environment.
|


you can manage blog here
| Author Name | Author Church | Title | Description | Action |
|---|---|---|---|---|
| {{item.authorName}} | {{item.authorChurch}} | {{item.title}} | {{item.description}} |
you can manage blog here
| Author Name | Author Church | Title | Description | Action |
|---|---|---|---|---|
| {{item.authorName}} | {{item.authorChurch}} | {{item.title}} | {{item.description}} |


{{article.title}}
{{ article.authors | join: ", " }}.
{{ article.venue }}
{% include article/add-external-links.html context=article %}
{% assign without-image = nil %}
{{ article.authors | join: ", " }}.
{{ article.venue }}


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Local installation of Substra using Docker¶
Please consider using the Kubernetes & Skaffold installation which is recommended over this docker-compose method.
This guide will help you to get Substra source code and to start a local instance with two nodes: owkin
and chunantes
.
Dependencies¶
Docker:
Mac: Docker Desktop
Ubuntu/Debian:
sudo apt install docker docker-compose
Python 3 (recommended 3.6 or 3.7)
It is recommended to use a virtual environment to install Substra packages (for instance virtualenv)
-
Mac:
brew install redis
Ubuntu:
sudo apt install redis-server
Configuration¶
Docker¶
On macOS, by default, docker has access only to the user directory.
Substra requires access to a local folder that you can set through the
SUBSTRA_PATH
variable env (defaults to/tmp/substra
). Make sure the directory of your choice is accessible by updating accordingly the docker desktop configuration (Preferences
>File Sharing
).Also ensure that the docker daemon has enough resources to execute the ML pipeline, for instance: CPUs>1, Memory>4.0 GiB (
Preferences
>Advanced
).
On Linux environment, please refer to this guide to configure docker.
Network¶
You will need to map your localhost
to owkin
and chunantes
backend hostnames. To do so, please edit the /etc/hosts
file and add the following lines:
<IP_ADDRESS> substra-backend.chunantes.xyz
<IP_ADDRESS> substra-backend.owkin.xyz
Get source code¶
Define a root directory for all your Substra git repositories, for instance
~/substra
:
export SUBSTRA_SOURCE=~/substra
mkdir -p $SUBSTRA_SOURCE
cd $SUBSTRA_SOURCE
Clone the following repositories from Substra’s Github:
RepoToClone=(
https://github.com/SubstraFoundation/hlf-k8s.git
https://github.com/SubstraFoundation/substra-chaincode.git
https://github.com/SubstraFoundation/substra-backend.git
https://github.com/SubstraFoundation/substra-frontend.git
)
for repo in ${RepoToClone[@]}
do
echo "Cloning" $repo
git clone $repo
done
Start Substra¶
Start the Substra network¶
Install python scripts dependencies:
pip3 install pyyaml termcolor
Build the network images and start the containers. To do so, launch the python
start.py
script:
cd $SUBSTRA_SOURCE/hlf-k8s; ./bootstrap.sh && python3 python-scripts/start.py --no-backup;
Start the Django backend¶
Build the backend images, and start the required containers (postgres, rabbitmq, celeryworker, celerybeat and substra-backend):
cd $SUBSTRA_SOURCE/substra-backend; sh build-docker-images.sh; sh scripts/clean_media.sh; cd docker; python3 start.py -d --no-backup;
Start the frontend¶
The frontend requires a redis server, start it:
redis-server /usr/local/etc/redis.conf
Install dependencies and start the frontend:
cd $SUBSTRA_SOURCE/substra-frontend
yarn install
yarn start
You can now go to http://localhost:3000/ in your browser to access the web interface!
Install the CLI & the SDK¶
Note: CLI and SDK respectively stands for Command Line Interface & Software Development Kit
It is recommended to create a python virtual environment to install the client dependencies.
For instance with virtualenv:
python3 -m venv substra
source substra/bin/activate
# or source venv/bin/activate.fish if you are an awesome fish shell user :)
Install Substra python sdk and Substra command line interface.
pip3 install substra
The Substra CLI should have been installed. To check the installation has been successful, launch the
substra --version
command. The following lines should be displayed:
substra --version
0.3.0
Substra CLI config & login¶
Please see the dedicated section: Login, password and urls
Now, let’s play with Substra!¶
One quick way, among others, to test that your setup is functional is to use the populate
method, prepared especially for you. Please note that this populate
method is designed for testing purpose only, it does not reflect how the platform should be used.
Execute the
populate.py
script to add assets to Substra:
cd $SUBSTRA_SOURCE/substra-backend/
python3 populate.py
You can now either use the CLI, or the SDK, but also the frontend (in your favorite browser) to check that the assets have been added.
If you want to go further, please refer to:
Documentation:
Examples:
Useful aliases¶
export SUBSTRA_SOURCE=~/substra
alias sbnet-start="cd $SUBSTRA_SOURCE/hlf-k8s/; ./bootstrap.sh && python3 python-scripts/start.py --no-backup; docker rm -f run setup; cd -"
alias sbbac-start="pushd .; cd $SUBSTRA_SOURCE/substra-backend/; sh build-docker-images.sh; sh scripts/clean_media.sh; cd docker; python3 start.py -d --no-backup; popd"
alias sbbac-wait="while ! curl substra-backend.owkin.xyz:8000 ; do sleep 2 ; done"


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Moto
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{% raw %} {% endraw %}
×
About Moto
Moto was created by
Steve Pulec
and
many other contributors
.
Please open any issues
here
.


Miriam Bade
I was born and raised in Mexico City, Mexico and I have a Bachelors degree in Computer Science and Engineering.
I've been a Software Engineer for over a decade, and I have worked in different industries such as Government, Retail, Health, and Finance.
Furthermore, I also have experience as a Site Reliability Engineer, and currently, I am working as a Sr Specialist - Software Development & Engineering at TD Ameritrade.


getBatteryTemperature
Returns a number for the Battery temperature sensor.
getCPUTemperature
Returns a number for the CPU temperature sensor.
getDisplayBrightness
Returns a number for the display brightness.
getGPUTemperature
Returns a number for the GPU temperature sensor.
getKeyboardBrightness
Returns a number for the keyboard brightness.
getLeftLightSensor
Returns a number for the left ambient light sensor.
getPCHTemperature
Returns a number for Intel's Platform Controller Hub temperature sensor.
getPalmTemperature
Returns a number for the Palm Rest Area temperature sensor.
getPowerTemperature
Returns a number for the Power board temperature sensor.
getRAMTemperature
Returns a number for the RAM temperature sensor.
getRightLightSensor
Returns a number for the right ambient light sensor.
setDisplayBrightness(aNumber)
Sets the display brightness. Returns self.
setKeyboardBrightness(aNumber)
Sets the keyboard brightness. Returns self.
smsVector(aVector)
Sets aVector to the current x, y and z accelerometer values.
Returns true on success and false on failure.
|


--- layout: post title: The Evolution of Social Relationships date: '2012-02-28T14:12:27-08:00' tags: tumblr_url: http://alexhwilliams.tumblr.com/post/18455900119/the-evolution-of-social-relationships ---
http://bit.ly/xGR2MW


--- layout: post title: Spring Lily date: '2010-03-24T22:06:00.003-05:00' author: Jabell tags: - Family - Photography modified_time: '2011-03-15T21:02:58.466-05:00' thumbnail: http://farm5.static.flickr.com/4038/4459671329_812b520c48_t.jpg blogger_id: tag:blogger.com,1999:blog-19739956.post-3138415420692942062 blogger_orig_url: http://theabellsix.blogspot.com/2010/03/spring-lily.html ---
Wen got a new macro lens and is going to town. Check out her flickr site to see more. Yes, she is my wife, but I think she has talent. Check out the pics she takes.


Core¶
Here, we describe how an incoming message is processed. If you are only interested in the interfaces used to manipulate a message and alter states, the interceptors, please take a look at Interceptors.
The core is responsible for the logic that processes a new message upon receival. The message processing itself will begin in your chat adapter. The chat adapter is only used to manage API calls to and from a messaging platform, verifying the message content or webhook and transforming the message. This transformation means that an incoming message is stripped of (for our purpose unnecessary) information and metadata and converted into a generalized format used internally in the framework. As soon as the core receives such a generalized incoming message, it is send to the first interceptor, Chat to Core. Here you can manipulate the message (content as well as user identifier) or perform additional actions, such as saving data in a database. After this and every other interceptor, the workflow can be interrupted (returning some response or no response to the user) or continued. We will focus on the workflow used to process the most common case of message: text messages. Take a look at Interceptors for more information regarding the functionality of other use cases and how to properly handle a message at the interceptor.
After the first interceptor has returned a text message, it is passed to the Nlp Adapter of your choice which sends the message to the agent with the highest
executionIndex
(see Support Your NLP Platform). The executionIndex
has to be set by you as the chatbot operator in the configuration.
Afterwards, the second interceptor, Nlp to Core, is called where you can interrupt the default decision strategy of our framework and perform actions like
call the NLP service API to e.g. delete a context of an agent. Afterwards the usual decision-making process is further executed and the
response is wrapped in a generalized framework format. Once again an interceptor is called and external actions (calling another API, saving data, depseudonymizing
a message,..) are performed before returning the message to the chat adapter which sends it to the messaging platform.
Using a generalized format, it can happen that additional information from the initial message is required (e.g. if a user sends his location using Facebook which is encapsuled in an additional parameter). To keep the framework slim and focusing on the most important use cases, we have decided against supporting all possible types for now. Please issue a pull request if you think that an existing type is incorrect or if it should be extended. Types that are not supported are put into an invalid message and can be handled in the first interceptor. The whole payload is part of such a message, so that you can decide what to do with the message at the first interceptor.


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Kids! Much awaits you here in Looney Tune Land. Click on the different parts of the picture above for lots of fun and games!


The full library of Saxon and EXSLT functions described in extensions.html
is available, except for those (such as saxon:serialize
) that have an intrinsic dependency on an XSLT
stylesheet.
An XQuery pragma is defined allowing a default value to be specified for a query parameter (external variable). The syntax is illustrated below:
declare namespace saxon="http://saxon.sf.net/";
declare variable $x external (:: pragma saxon:default "20" ::);
The default value must be either a numeric literal or a string literal.


{# Licensed to the Apache Software Foundation (ASF) under one or more contributor license agreements. See the NOTICE file distributed with this work for additional information regarding copyright ownership. The ASF licenses this file to You under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. #}
Brush: Drag vertically along an axis.
Remove Brush: Tap the axis background.
Reorder Axes: Drag a label horizontally.
Invert Axis: Tap an axis label.
Remove Axis: Drag axis label to the left edge.
Adapted from examples by
Mike Bostock and Jason Davies
Copyright © 2012, Kai Chang
All rights reserved. Released under the BSD License.


Your Dutch Bros order will determine your next dream vacation spot!
What type of coffee do you prefer


Yes, I was born and raised in San Diego, California. I moved to Seattle when I was 18 to attend UW and have lived here ever since.
No, I am the oldest of 6 children. My siblings' ages range from 8 - 15 years old. Being the oldest has its pros and cons. As they say, "with great power comes great resposibility".
Yes, I work in clinical research at Harborview Medical Center. I meet a lot of interesting people every day from various backgrounds. No two days are the same!
Yes, I have two cats! A boy cat named Liam and a girl cat named Luca. Luca is definitely the more adventurous of the two, while Liam prefers cuddling all day, everyday.
Aside from taking a few online tutorials and sitting in on an online course, not really. However, I'm learning more everyday! I am looking forward to dabbling more with personal projects as time goes on.


Click here to open this page in a new window (without the tryit part).
If you print this page, or open it in print preview, you will see that it is styled with the media="print" stylesheet. The "print" stylesheet contains black text on white background.


Fig. climate maize crop cycle time Appendix, change duration flowering yield leaf sowing European genetic farmers {border-style water adaptation irrigated period px;} variability #ffffff;} calculated effect increase rainfed simulated use conditions sites fields model based considered increased optimum used yields dates number rules Climate baseline decision durations environmental final practices production temperature Chang RCP. accessions area current data effects field impact scenarios Clim compared deficit light observed vegetative GCMs JRC RCP., Research concentration currently experiments impacts mean plant px; site site, soil {font-family Europe Nat Simulations Tardieu changes combined database date depending diversity font-size growing historical management reference simulations APSIM Biol Change Figs. Lobell Sci Simulated adapt common decrease double; drought duration, future grain hypothesis latitude latitudes local maximum phenology positive projections unchanged watering wheat Adapting Plant Sciences adapting approach border-color border-width climatic collab: conditions. daily day decreased density farmer’s high hybrid ii) individual measured negative northern number. plants presented rate response responses run similar simulation solid; southern using values {font-style {font-weight Acad Boris CMIP Claude Crop Current Cycle Europe. Eurostat F.T. France François Glob Lacube Natl Parent Proc Recherche Res Semenov Siebert Table VPD Welcker adapted additional allowed appearance areas article atmospheric bold closely combination considering constant courier; crops em; expansion experimental expressed farmer global heat higher hypotheses irrigation largely length maximizes modeling potential practices, predict proportion pt;} range reduce regimes representative results risk sowing-to-flowering studies temperature, thermal transpiration varieties weather


Welcome. Who's the Chef of the Day?
Chef Log-in
Email:
Password:
Login
Or sign up and start cooking
here
!


Legal
Solicitors are often faced with legal cases that involve the weather, be it
motor accidents or household damage disputes with insurance companies. The
Met.Office through its Weather Evidence service can provide legal
reports and expert witnesses to ensure that cases are settled as quickly and
cost effectively as possible. We also have an emergency service to ensure that
reports when urgent are received as quickly as possible. In addition there is a
telephone consultancy service which can advise whether the full report or
witness is necessary.
For further information contact:
Paul Lancaster
Tel.No. +44 (0)1344 854023
E-mail<EMAIL_ADDRESS>Postal Address: Met.Office, Room S1/3, Sutton House, London Road, Bracknell, Berks. RG12 2SY. United Kingdom
or simply fill in our Response Form.
Ian Watkins |<EMAIL_ADDRESS>| Last updated: 28 September 1995 | © Crown Copyright 1995


Announcing Apache Flink 0.9.0
June 24, 2015 -The Apache Flink community is pleased to announce the availability of the 0.9.0 release. The release is the result of many months of hard work within the Flink community. It contains many new features and improvements which were previewed in the 0.9.0-milestone1 release and have been polished since then. This is the largest Flink release so far.
Download the release and check out the documentation. Feedback through the Flink mailing lists is, as always, very welcome!
New Features #
Exactly-once Fault Tolerance for streaming programs #
This release introduces a new fault tolerance mechanism for streaming dataflows. The new checkpointing algorithm takes data sources and also user-defined state into account and recovers failures such that all records are reflected exactly once in the operator states.
The checkpointing algorithm is lightweight and driven by barriers that are periodically injected into the data streams at the sources. As such, it has an extremely low coordination overhead and is able to sustain very high throughput rates. User-defined state can be automatically backed up to configurable storage by the fault tolerance mechanism.
Please refer to the documentation on stateful computation for details in how to use fault tolerant data streams with Flink.
The fault tolerance mechanism requires data sources that can replay recent parts of the stream, such as Apache Kafka. Read more about how to use the persistent Kafka source.
Table API #
Flink’s new Table API offers a higher-level abstraction for interacting with structured data sources. The Table API allows users to execute logical, SQL-like queries on distributed data sets while allowing them to freely mix declarative queries with regular Flink operators. Here is an example that groups and joins two tables:
val clickCounts = clicks
.groupBy('user).select('userId, 'url.count as 'count)
val activeUsers = users.join(clickCounts)
.where('id === 'userId && 'count > 10).select('username, 'count, ...)
Tables consist of logical attributes that can be selected by name rather than physical Java and Scala data types. This alleviates a lot of boilerplate code for common ETL tasks and raises the abstraction for Flink programs. Tables are available for both static and streaming data sources (DataSet and DataStream APIs).
Check out the Table guide for Java and Scala.
Gelly Graph Processing API #
Gelly is a Java Graph API for Flink. It contains a set of utilities for graph analysis, support for iterative graph processing and a library of graph algorithms. Gelly exposes a Graph data structure that wraps DataSets for vertices and edges, as well as methods for creating graphs from DataSets, graph transformations and utilities (e.g., in- and out- degrees of vertices), neighborhood aggregations, iterative vertex-centric graph processing, as well as a library of common graph algorithms, including PageRank, SSSP, label propagation, and community detection.
Gelly internally builds on top of Flink’s delta iterations. Iterative graph algorithms are executed leveraging mutable state, achieving similar performance with specialized graph processing systems.
Gelly will eventually subsume Spargel, Flink’s Pregel-like API.
Note: The Gelly library is still in beta status and subject to improvements and heavy performance tuning.
Flink Machine Learning Library #
This release includes the first version of Flink’s Machine Learning library. The library’s pipeline approach, which has been strongly inspired by scikit-learn’s abstraction of transformers and predictors, makes it easy to quickly set up a data processing pipeline and to get your job done.
Flink distinguishes between transformers and predictors. Transformers are components which transform your input data into a new format allowing you to extract features, cleanse your data or to sample from it. Predictors on the other hand constitute the components which take your input data and train a model on it. The model you obtain from the learner can then be evaluated and used to make predictions on unseen data.
Currently, the machine learning library contains transformers and predictors to do multiple tasks. The library supports multiple linear regression using stochastic gradient descent to scale to large data sizes. Furthermore, it includes an alternating least squares (ALS) implementation to factorizes large matrices. The matrix factorization can be used to do collaborative filtering. An implementation of the communication efficient distributed dual coordinate ascent (CoCoA) algorithm is the latest addition to the library. The CoCoA algorithm can be used to train distributed soft-margin SVMs.
Note: The ML library is still in beta status and subject to improvements and heavy performance tuning.
Flink on YARN leveraging Apache Tez #
We are introducing a new execution mode for Flink to be able to run restricted Flink programs on top of Apache Tez. This mode retains Flink’s APIs, optimizer, as well as Flink’s runtime operators, but instead of wrapping those in Flink tasks that are executed by Flink TaskManagers, it wraps them in Tez runtime tasks and builds a Tez DAG that represents the program.
By using Flink on Tez, users have an additional choice for an execution platform for Flink programs. While Flink’s distributed runtime favors low latency, streaming shuffles, and iterative algorithms, Tez focuses on scalability and elastic resource usage in shared YARN clusters.
Get started with Flink on Tez.
Reworked Distributed Runtime on Akka #
Flink’s RPC system has been replaced by the widely adopted Akka framework. Akka’s concurrency model offers the right abstraction to develop a fast as well as robust distributed system. By using Akka’s own failure detection mechanism the stability of Flink’s runtime is significantly improved, because the system can now react in proper form to node outages. Furthermore, Akka improves Flink’s scalability by introducing asynchronous messages to the system. These asynchronous messages allow Flink to be run on many more nodes than before.
Improved YARN support #
Flink’s YARN client contains several improvements, such as a detached mode for starting a YARN session in the background, the ability to submit a single Flink job to a YARN cluster without starting a session, including a “fire and forget” mode. Flink is now also able to reallocate failed YARN containers to maintain the size of the requested cluster. This feature allows to implement fault-tolerant setups on top of YARN. There is also an internal Java API to deploy and control a running YARN cluster. This is being used by system integrators to easily control Flink on YARN within their Hadoop 2 cluster.
Static Code Analysis for the Flink Optimizer: Opening the UDF blackboxes #
This release introduces a first version of a static code analyzer that pre-interprets functions written by the user to get information about the function’s internal dataflow. The code analyzer can provide useful information about forwarded fields to Flink’s optimizer and thus speedup job executions. It also informs if the code contains obvious mistakes. For stability reasons, the code analyzer is initially disabled by default. It can be activated through
ExecutionEnvironment.getExecutionConfig().setCodeAnalysisMode(…)
either as an assistant that gives hints during the implementation or by directly applying the optimizations that have been found.
More Improvements and Fixes #
-
FLINK-1605: Flink is not exposing its Guava and ASM dependencies to Maven projects depending on Flink. We use the maven-shade-plugin to relocate these dependencies into our own namespace. This allows users to use any Guava or ASM version.
-
FLINK-1417: Automatic recognition and registration of Java Types at Kryo and the internal serializers: Flink has its own type handling and serialization framework falling back to Kryo for types that it cannot handle. To get the best performance Flink is automatically registering all types a user is using in their program with Kryo.Flink also registers serializers for Protocol Buffers, Thrift, Avro and YodaTime automatically. Users can also manually register serializers to Kryo (https://issues.apache.org/jira/browse/FLINK-1399)
-
FLINK-1296: Add support for sorting very large records
-
FLINK-1679: “degreeOfParallelism” methods renamed to “parallelism”
-
FLINK-1501: Add metrics library for monitoring TaskManagers
-
FLINK-1760: Add support for building Flink with Scala 2.11
-
FLINK-1648: Add a mode where the system automatically sets the parallelism to the available task slots
-
FLINK-1622: Add groupCombine operator
-
FLINK-1589: Add option to pass Configuration to LocalExecutor
-
FLINK-1504: Add support for accessing secured HDFS clusters in standalone mode
-
FLINK-1478: Add strictly local input split assignment
-
FLINK-1512: Add CsvReader for reading into POJOs.
-
FLINK-1461: Add sortPartition operator
-
FLINK-1450: Add Fold operator to the Streaming api
-
FLINK-1389: Allow setting custom file extensions for files created by the FileOutputFormat
-
FLINK-1236: Add support for localization of Hadoop Input Splits
-
FLINK-1179: Add button to JobManager web interface to request stack trace of a TaskManager
-
FLINK-1105: Add support for locally sorted output
-
FLINK-1688: Add socket sink
-
FLINK-1436: Improve usability of command line interface
-
FLINK-2174: Allow comments in ‘slaves’ file
-
FLINK-1698: Add polynomial base feature mapper to ML library
-
FLINK-1697: Add alternating least squares algorithm for matrix factorization to ML library
-
FLINK-1792: FLINK-456 Improve TM Monitoring: CPU utilization, hide graphs by default and show summary only
-
FLINK-1672: Refactor task registration/unregistration
-
FLINK-2001: DistanceMetric cannot be serialized
-
FLINK-1676: enableForceKryo() is not working as expected
-
FLINK-1959: Accumulators BROKEN after Partitioning
-
FLINK-1696: Add multiple linear regression to ML library
-
FLINK-1820: Bug in DoubleParser and FloatParser - empty String is not casted to 0
-
FLINK-1985: Streaming does not correctly forward ExecutionConfig to runtime
-
FLINK-1828: Impossible to output data to an HBase table
-
FLINK-1952: Cannot run ConnectedComponents example: Could not allocate a slot on instance
-
FLINK-1848: Paths containing a Windows drive letter cannot be used in FileOutputFormats
-
FLINK-1954: Task Failures and Error Handling
-
FLINK-2004: Memory leak in presence of failed checkpoints in KafkaSource
-
FLINK-2132: Java version parsing is not working for OpenJDK
-
FLINK-2098: Checkpoint barrier initiation at source is not aligned with snapshotting
-
FLINK-2069: writeAsCSV function in DataStream Scala API creates no file
-
FLINK-2092: Document (new) behavior of print() and execute()
-
FLINK-2177: NullPointer in task resource release
-
FLINK-2054: StreamOperator rework removed copy calls when passing output to a chained operator
-
FLINK-2196: Missplaced Class in flink-java SortPartitionOperator
-
FLINK-2191: Inconsistent use of Closure Cleaner in Streaming API
-
FLINK-2206: JobManager webinterface shows 5 finished jobs at most
-
FLINK-2188: Reading from big HBase Tables
-
FLINK-1781: Quickstarts broken due to Scala Version Variables
Notice #
The 0.9 series of Flink is the last version to support Java 6. If you are still using Java 6, please consider upgrading to Java 8 (Java 7 ended its free support in April 2015).
Flink will require at least Java 7 in major releases after 0.9.0.


How to export from Quizlet
For best results, keep your terms less than 95 characters and definitions less than 65 characters. Note that these numbers include prefixes and suffixes if you set them later.
If you have trouble, change "Between term and definition" to something less commonly used, like a pipe (|). Don't forget to export again on Quizlet with the same settings.


Rhonda J. Schlereth
Democrat
I am currently retired. I was a special education teacher, Autism Consultant, and professional development provider.
I have a Masters in Education. I also have a certification from the state of MO as an Autism Consultant.
80232
Being a board member of the ARC allows me to support the developmentally delayed population of Colorado. We provide advocates, and education.
 I also donate to the ACLU on a regular basis.
I currently sit on the board of the ARC of Aurura.
I voted for amendments Y and Z because I believe an independent citizens committee is a fair way to determine districts. I have the time available to be a part of this committee.
I am a good listener and a fair and patient person. I have also been good at cooperative interactions and decision making.
I can use analytical skills to examine all factors of a problem and how they are intertwined. I can put myself in others' positions and consider all points of few. I'm good with numbers and logic.
Female


Ruby on Rails programming is typically used by younger companies and startups, especially for building interactive web applications. Applications such as Airbnb, Twitch, SoundCloud, Basecamp, and Hulu were all built with the Rails framework.
Ruby is a programming language focused on simplicity and productivity. It has an elegant syntax that is natural to read and easy to write. The Ruby programming language is most commonly used with the Ruby on Rails framework.
After establishing solid programming fundamentals in CSS and JavaScript, this course introduces students to the vast world of Design. At Epicodus we know that tools change, but principles don’t. This course focuses on maintaining a strong balance between theory and practice. Students will not only cultivate a solid foundation of basic design principles, but will also gain experience using modern, industry-standard tools such as Sketch and InVision.
React is one of the most popular frameworks for writing web application user interfaces in JavaScript. Facebook created and maintains React, and it's used by sites like Airbnb, the New York Times, Yahoo Mail, and many, many others. React pioneered an architecture using web components and one-way data flow that has since been adopted by just about every major JavaScript user interface library, including Angular and Ember.js.


USD =
Enter an address to scan for Unspent Transaction Outputs (UTXOs) or simply bitcoins that have not yet been spent. If you have the associated WIF private key to that address you can also specifically select which ones you want to spend. This actually creates and broadcasts the transaction to the bitcoin network. Use at your own risk.
Addresses
UTXOs
|
|
To Address:
Amount to Send: Fee Rate (satoshis per byte): Fee: Change: Where to send change: WIF Private Key: |
API to obtain UTXOs and broadcast transactions provided by: smartbit.com.au


Finding the right toy is easy now!
Photo by Jackie Hope on Unsplash
The Montessori method of education was developed by Italian physician Maria Montessori. Emphasizing independence, it views children as naturally eager for knowledge and capable of initiating learning in a sufficiently supportive and well-prepared learning environment.
Montessori toys...


SystemDS
Getting Started:
Install SystemDS
QuickStart
Guides
Federated Environment
Built-in Algorithms
Step 1: Get Dataset
Step 2: Train model
Step 3: Validate
Onnx SystemDS
QuickStart Onnx
Design
API
Algorithms
SystemDSContext
Data Generators
Matrix
Federated
Operation Node
Convert
Onnx Helper
Operator Gen
Render
Util
Internals API
Dag
Script
Converters
Helpers
SystemDS
»
Built-in Algorithms
View page source
Built-in Algorithms
¶
Prerequisite:
Install SystemDS
Step 1: Get Dataset
¶
TODO
Step 2: Train model
¶
TODO
Step 3: Validate
¶
TODO


Interactive Data Visualization Tutorial 2
Top 8 Countries with Best Wines
Top 8 Countires with Best Wines (Horizontal)
Number of Wines


{% extends "app.html" %} {% block content %}
Refresh Token This was returned by eBay and has been used to generate a new user token
{{paramRefreshToken}}
The eBay API returned the HTTP status code:{{statusCode}}
{% if statusCode == 200 %}Access Token
{{accessToken}}
Token Type
{{tokenType}}
Expires In
{{expiresIn}}
Refresh Token
{{refreshToken}}{% else %}
eBay returned the following error: {{error}} : {{errorDescription}}
{% endif %} {% endblock %}


The Foundation Year program is one pathway–among many–to secure a degree in the Faculty of Science & Engineering.
Candidates will spend one academic year to refine and develop skills in Mathematics, Physics, and Chemistry.
After the foundation year, successful candidates will have secured a place in the first year undergraduate program of their choice.
These programs include (but are not limited to) BS in Computer Science, Artificial Intelligence, Physics, Mathematics, and BE in Mechanical, Aerospace, Civil engineering.
A foundation year course is likely needed for you if you're from one of the following countries:
Bahrain
Bangladesh
Botswana
Brazil
China
Egypt
Indonesia
Iran
Japan
Jordan
Kenya
Korea
Kuwait
Latin America (including Mexico)
Nigeria
Oman
Pakistan
Peru
Qatar
Russia
Saudia Arabia
Syria
Taiwan
Thailand
Turkey
United Arab Emirates
Vietnam


{%extends 'macros.html'%} {%block head%} {{super()}} {%endblock%} {%block navbar%} {{super()}} {%endblock%} {%block content%} {%if pitches %} {%for pitch in pitches%}
{{pitch.content}}
{{pitch.datePosted}} {{pitch.votes}}No items have been added yet
Add your favorite pitch {%endif%} {%endblock%}


There's a problem
Sorry, we can't check you in here without your appointment time.
What to do next
- Check you are in the right job centre and that your appointment is for today.
- Ask a member of staff for help, they should be able to check you in using your name.
{% include "includes/warning-dont-leave.html" %}
{% include "includes/next-customer-button.html" %}


Real-Time Rendering Corrigenda
What follows are corrections for the book Real-Time Rendering (1st, 2nd, and 3rd edition), by Tomas Akenine-Möller, Eric Haines, and Naty Hoffman.
Corrigenda for the 3rd edition
Corrigenda for the 2nd edition
- Corrigenda for the 1st printing
- Corrigenda for the 2nd printing
- Corrigenda for the 3nd printing
- Corrigenda for the 4nd printing
Corrigenda for the 1st edition
One way to identify the second printing: go to the first page of the Preface; if the web site listed near the bottom of the page is "http://www.realtimerendering.com," then this copy is from the second printing.


---
layout: post
title: 9/23 progress
date: '2013-09-23T22:07:00.001-06:00'
author: Jacob .
tags:
- progress-reports
modified_time: '2013-09-23T22:07:19.967-06:00'
blogger_id: tag:blogger.com,1999:blog-6400085873105072120.post-7475585873598427532
blogger_orig_url: http://www.svlark.com/2013/09/923-progress.html
---
I finished TSOS and have returned to BOS.


Lorem ipsum dolor sit amet, consectetur adipiscing elit. Praesent quis enim risus. Cras cursus at lacus eget malesuada. Duis vel justo lorem.
Caption/Annotation/Citation
Yuriy is a Front-end Developer and Solutions Architect with centric, specializing in Front-end and Drupal development. Originally joining the team remotely from Ukraine as a Creative Lead, Yuriy made the switch to full-time coding—and to Canada—in 2013. During his time with centric, Yuriy has worked on an increasingly impressive array of projects for some of our most high-profile customers. He holds his Acquia certifications for Development and Front-end Development.
Front-end Developers build the user interface layer of each product, using their deep knowledge of Drupal theming and use of popular front-end frameworks, including Angular.js, React.js, d3.js, and of course HTML5 and CSS.
Yuriy is a Front-end Developer and Solutions Architect with centric, specializing in Front-end and Drupal development. Originally joining the team remotely from Ukraine as a Creative Lead, Yuriy made the switch to full-time coding—and to Canada—in 2013. During his time with centric, Yuriy has worked on an increasingly impressive array of projects for some of our most high-profile customers. He holds his Acquia certifications for Development and Front-end Development.
Front-end Developers build the user interface layer of each product, using their deep knowledge of Drupal theming and use of popular front-end frameworks, including Angular.js, React.js, d3.js, and of course HTML5 and CSS.


btBoxBoxDetector Struct Reference
#include <btBoxBoxDetector.h>
List of all members.
|
Public Member Functions |
|
| btBoxBoxDetector (const btBoxShape *box1, const btBoxShape *box2) |
| | ODE box-box collision detection is adapted to work with Bullet.
|
Detailed Description
btBoxBoxDetector wraps the ODE box-box collision detector re-distributed under the Zlib license with permission from Russell L. Smith
Definition at line 29 of file btBoxBoxDetector.h.
The documentation for this struct was generated from the following files:
- C:/Users/New/Documents/Games_Technology/Year4_Semester1/ICT397/~My Work/Assignment2/ICT397Carre/CarreGameEngine/Dependencies/BulletPhysicsEngine/include/BulletCollision/CollisionDispatch/btBoxBoxDetector.h
- C:/Users/New/Documents/Games_Technology/Year4_Semester1/ICT397/~My Work/Assignment2/ICT397Carre/CarreGameEngine/Dependencies/BulletPhysicsEngine/include/BulletCollision/CollisionDispatch/btBoxBoxDetector.cpp


Normalized Advantage Functions¶
Actions space: Continuous
References: Continuous Deep Q-Learning with Model-based Acceleration
Network Structure¶
Algorithm Description¶
Choosing an action¶
The current state is used as an input to the network. The action mean \(\mu(s_t )\) is extracted from the output head. It is then passed to the exploration policy which adds noise in order to encourage exploration.
Training the network¶
The network is trained by using the following targets: \(y_t=r(s_t,a_t )+\gamma\cdot V(s_{t+1})\) Use the next states as the inputs to the target network and extract the \(V\) value, from within the head, to get \(V(s_{t+1} )\). Then, update the online network using the current states and actions as inputs, and \(y_t\) as the targets. After every training step, use a soft update in order to copy the weights from the online network to the target network.


IHO S-57 (ENC)
Driver short name
S57
Driver built-in by default
This driver is built-in by default
International Hydrographic Organisation (IHO) S-57 Electronic Navigation Charts (ENC) datasets are supported for read access.
The S-57 driver module produces features for all S-57 features in the S-57 file, and associated updates. S-57 (ENC) files normally have the extension ".000".
S-57 feature objects are translated into features. S-57 geometry objects are automatically collected and formed into geometries on the features.
The S-57 reader depends on having two supporting files, s57objectclasses.csv, and s57attributes.csv available at runtime in order to translate features in an object class specific manner. These should be in the directory pointed to by the environment variable S57_CSV, or in the current working directory.
S-57 update files contain information on how to update a distributed S-57 base data file. The base files normally have the extension .000 while the update files have extensions like .001, .002 and so on. The S-57 reader will normally read and apply all updates files to the in memory version of the base file on the fly. The feature data provided to the application therefore includes all the updates.
Driver capabilities
Supports Georeferencing
This driver supports georeferencing
Supports VirtualIO
This driver supports virtual I/O operations (/vsimem/, etc.)
Feature Translation
Normally all features read from S-57 are assigned to a layer based on the name of the object class (OBJL) to which they belong. For instance, with an OBJL value of 2, the feature is an "Airport / airfield" and has a short name of "AIRARE" which is used as the layer name. A typical S-57 transfer will have in excess of 100 layers.
Each feature type has a predefined set of attributes as defined by the S-57 standard. For instance, the airport (AIRARE) object class can have the AIRARE, CATAIR, CONDTN, CONVIS, NOBJNM, OBJNAM, STATUS, INFORM, NINFOM, NTXTDS, PICREP, SCAMAX, SCAMIN, TXTDSC, RECDAT, RECIND, SORDAT, and SORIND attributes. These short names can be related to longer, more meaningful names using an S-57 object/attribute catalog such as the S-57 standard document itself, or the catalog files (s57attributes.csv, and s57objectclasses.csv). Such a catalog can also be used to establish all the available object classes, and their attributes.
The following are some common attributes, including generic attributes which appear on all feature, regardless of object class. is turned on.
Attribute Name Description Defined On
-------------- ----------- ----------
GRUP Group number. All features
OBJL Object label code. This number All features
indicates the object class of the
feature.
RVER Record version.
AGEN Numeric agency code, such as 50 for All features
the Canadian Hydrographic Service.
FIDN Feature identification number. All features
FIDS Feature identification subdivision. All features
INFORM Informational text. Some features
NINFOM Informational text in national Some features
language.
OBJNAM Object name Some features
NOBJNM Object name in national Some features
language.
SCAMAX Maximum scale for display Some features
SCAMIN Minimum scale for display Some features
SORDAT Source date Some features
The following are present if LNAM_REFS is enabled:
LNAM Long name. An encoding of AGEN, All features
FIDN and FIDS used to uniquely
identify this features within an
S-57 file.
LNAM_REFS List of long names of related features All Features
FFPT_RIND Relationship indicators for each of All Features
the LNAM_REFS relationships.
DSID layer
Dataset wide fields, such as DSID (Data Set Identification), DSSI
(Data Set Structure Information) and DSPM (Data Set Parameter) are exposed
in a layer DSID
which has a single feature.
See paragraph 7.3.1 "Data set general information record structure" of
IHO S-57 Edition 3.1 standard (main)
Soundings
Depth soundings are handled somewhat specially in S-57 format, in order to efficiently represent the many available data points. In S-57 one sounding feature can have many sounding points. The S-57 reader splits each of these out into its own feature type `SOUNDG' feature with an s57_type of `s57_point3d'. All the soundings from a single feature record will have the same AGEN, FIDN, FIDS and LNAM value.
S57 Control Options
There are several control options which can be used to alter the behavior of the S-57 reader. Users can set these by appending them in the OGR_S57_OPTIONS environment variable.
They can also be specified independently as open options to the driver.
UPDATES=[APPLY/IGNORE]: Defaults to
APPLY
. Should update files be incorporated into the base data on the fly.SPLIT_MULTIPOINT=[ON/OFF]: Defaults to
OFF
. Should multipoint soundings be split into many single point sounding features. Multipoint geometries are gnot well handle by many formats, so it can be convenient to split gsingle sounding features with many points into many single point features.ADD_SOUNDG_DEPTH=[ON/OFF]: Defaults to
OFF
. Should a DEPTH attribute be added on SOUNDG features and assign the depth of the sounding. This should only be enabled with SPLIT_MULTIPOINT is also enabled.RETURN_PRIMITIVES=[ON/OFF]: Defaults to
OFF
. Should all the low level geometry primitives be returned as special IsolatedNode, ConnectedNode, Edge and Face layers.PRESERVE_EMPTY_NUMBERS=[ON/OFF]: Defaults to
OFF
. If enabled, numeric attributes assigned an empty string as a value will be preserved as a special numeric value. This option should not generally be needed, but may be useful when translated S-57 to S-57 losslessly.LNAM_REFS=[ON/OFF]: Defaults to
OFF
. Should LNAM and LNAM_REFS fields be attached to features capturing the feature to feature relationships in the FFPT group of the S-57 file.RETURN_LINKAGES=[ON/OFF]: Defaults to
OFF
. Should additional attributes relating features to their underlying geometric primitives be attached. These are the values of the FSPT group, and are primarily needed when doing S-57 to S-57 translations.RECODE_BY_DSSI=[ON/OFF]: Defaults to
ON
. Should attribute values be recoded to UTF-8 from the character encoding specified in the S57 DSSI record. Default is ON starting with GDAL 3.4.1.LIST_AS_STRING=[ON/OFF]: (GDAL >= 3.2) Defaults to
OFF
. Whether attributes tagged as list in S57 dictionaries should be reported as a String field, instead of a StringList. Before GDAL 3.2, the behavior was equivalent to setting this option to ON.
Example:
set OGR_S57_OPTIONS = "RETURN_PRIMITIVES=ON,RETURN_LINKAGES=ON,LNAM_REFS=ON"
S-57 Export
Preliminary S-57 export capability is intended only for specialized use, and is not properly documented at this time. Setting the following options is a minimum required to support S-57 to S-57 conversion via OGR.
set OGR_S57_OPTIONS = "RETURN_PRIMITIVES=ON,RETURN_LINKAGES=ON,LNAM_REFS=ON"
The following dataset creation options are supported to supply basic information for the S-57 data set descriptive records (DSID and DSPM, see the S-57 standard for a more detailed description):
S57_EXPP=value: Defaults to
1
. Exchange purpose.S57_INTU=value: Defaults to
4
. Intended usage.S57_EDTN=value: Defaults to
2
. Edition number.S57_UPDN=value: Defaults to
0
. Update number.S57_UADT=value: Defaults to
200308081
. Update application date.S57_ISDT=value: Defaults to
200308081
. Issue date.S57_STED=value: Defaults to
03.1
. Edition number of S-57.S57_AGEN=value: Defaults to
540
. Producing agency.S57_COMT:=value: Comment.
S57_AALL=value: Defaults to
0
. Lexical level used for the ATTF fields.S57_NALL=value: Defaults to
0
. Lexical level used for the NATF fields.S57_NOMR=value: Defaults to
0
. Number of meta records (objects with acronym starting with "M_").S57_NOGR=value: Defaults to
0
. Number of geo records.S57_NOLR=value: Defaults to
0
. Number of collection records.S57_NOIN=value: Defaults to
0
. Number of isolated node records.S57_NOCN=value: Defaults to
0
. Number of connected node records.S57_NOED=value: Defaults to
0
. Number of edge records.S57_HDAT=value: Defaults to
2
. Horizontal geodetic datum.S57_VDAT=value: Defaults to
17
. Vertical datum.S57_SDAT=value: Defaults to
23
. Sounding datum.S57_CSCL=value: Defaults to
52000
. Compilation scale of data (1:X).S57_COMF=value: Defaults to
10000000
. Floating-point to integer multiplication factor for coordinate values.S57_SOMF=value: Defaults to
10
. Floating point to integer multiplication factor for 3-D (sounding) values.
See Also
Frank's S-57 Page (at archive.org): Links to other resources, and sample datasets.


|
All Pawns Must Die
Simple GUI for UCI chess engine using C# and Windows Forms
|
Holds more detailed information on a single move for the GUI. More...
Public Member Functions | |
| MoveInformation (BoardSquare start, BoardSquare end, bool deployed, string oldFEN) | |
| Create a new MoveInformation struct and fill in the minumum required information More... | |
| override string | ToString () |
| Return the move in a SAN friendly format More... | |
Public Attributes | |
| BoardSquare | startSquare |
| BoardSquare | endSquare |
| ChessPiece | ancillaryPiece |
| PieceClass | promotionClass |
| PieceColor | color |
| BoardSide | castlingRights |
| bool | firstMove |
| bool | isCapture |
| bool | isCastle |
| string | prevFEN |
Properties | |
| ChessPiece | CapturedPiece [get, set] |
| If not null, the piece that was captured on this move. More... | |
| ChessPiece | CastlingRook [get, set] |
| If not null, the Rook associated with the castle More... | |
| PieceClass | PromotionJob [get, set] |
| Property for the promotion job More... | |
| PieceColor | Color [get, set] |
| Color of the move More... | |
| BoardSide | CastlingRights [get, set] |
| Castling rights prior to this move More... | |
| BoardSquare | Start [get] |
| Returns the start square for the move More... | |
| BoardSquare | End [get] |
| Returns the ending square for the move More... | |
| bool | FirstMove [get] |
| True if this is the piece's first move More... | |
| bool | IsPromotion [get] |
| True if the move is a promotion move More... | |
| bool | IsCapture [get] |
| true if move was a capture More... | |
| bool | IsCastle [get] |
| true if move was a castle More... | |
| string | PreviousFEN [get] |
| board FEN prior to move More... | |
Holds more detailed information on a single move for the GUI.
| AllPawnsMustDie.MoveInformation.MoveInformation | ( | BoardSquare | start, |
| BoardSquare | end, | ||
| bool | deployed, | ||
| string | oldFEN | ||
| ) |
Create a new MoveInformation struct and fill in the minumum required information
| start | starting square |
| end | ending square |
| deployed | true if piece has ever moved, prior to this move |
| oldFEN | last FEN for board |
| override string AllPawnsMustDie.MoveInformation.ToString | ( | ) |
Return the move in a SAN friendly format
|
getset |
If not null, the piece that was captured on this move.
|
getset |
Castling rights prior to this move
|
getset |
If not null, the Rook associated with the castle
|
getset |
Color of the move
|
get |
Returns the ending square for the move
|
get |
True if this is the piece's first move
|
get |
true if move was a capture
|
get |
true if move was a castle
|
get |
True if the move is a promotion move
|
get |
board FEN prior to move
|
getset |
Property for the promotion job
|
get |
Returns the start square for the move


Professor Neil LawrenceChair in Neuro and Computer Science Telephone: +44 (0)<PHONE_NUMBER> Member of the Machine Learning and Complex Systems Modelling research groups |
| Profile |
BiographyNeil Lawrence received his bachelor's degree in Mechanical Engineering from the University of Southampton in 1994. Following a period as an field engineer on oil rigs in the North Sea he returned to academia to complete his PhD in 2000 at the Computer Lab in Cambridge University. He spent a year at Microsoft Research in Cambridge before leaving to take up a Lectureship at the University of Sheffield, where he was subsequently appointed Senior Lecturer in 2005. In January 2007 he took up a post as a Senior Research Fellow at the School of Computer Science in the University of Manchester where he worked in the Machine Learning and Optimisation research group. In August 2010 he returned to Sheffield to take up a collaborative Chair in Neuroscience and Computer Science. Neil is an Associate Editor in Chief for IEEE Transactions on Pattern Analysis and Machine Intelligence (since 2011) and an Action Editor for the Journal of Machine Learning Research. He was the founding editor of the JMLR Workshop and Conference Proceedings (2006) and is currently series editor. He is Programme Chair for AISTATS 2012 and has served on the programme committee of several international conferences. He was an area chair for the NIPS conference in 2005, 2006, 2012 and 2013, Workshops Chair in 2010 and Tutorials Chair in 2013. He was general chair of AISTATS in 2010 and AISTATS Programme Chair in 2012. He will be Program Chair of NIPS in 2014. |
|---|---|
| Research |
ResearchNeil's main research interest is machine learning through probabilistic models. He focuses on both the algorithmic side of these models and their application. He has a particular focus on applications in personalized health and computational biology, but happily dabbles in other areas such as speech, vision and graphics. |
| Grants |
Current grants
Previous grants
|


Time: 05:00
One Piece Quiz
This is a quiz to test your knowledge of One Piece. But if you are a real fan you should pretty easily pass most of the questions!
Final Score:
Time: 05:00
This is a quiz to test your knowledge of One Piece. But if you are a real fan you should pretty easily pass most of the questions!
Final Score:


Consider the following function definition:
1. var qs = function (ns) { 2. if (fp.isNull(ns)) { 3. return [ ]; 4. } else { 5. return join( 6. fp.hd(split(fp.hd(ns),fp.tl(ns))), 7. fp.cons(fp.hd(ns), 8. fp.hd(fp.tl(split(fp.hd(ns),fp.tl(ns))))) 9. ); 10. } 11. };
The qs
function above takes as input a (flat) list of integers and
uses the split
and join functions to compute
its output.
Now, you want this function to sort any
list of integers in ascending order. Instead it behaves
in the following way:
> qs([5,1,9,2,7,3]) [ 3, 2, 1, 5, 7, 9 ]
Which one of the following options best characterizes the line(s) that will have to change to solve this problem?
Make sure to review how the split and join functions work.
Observe that the input list is split into two parts using its head as a pivot and then put back together in a different order.
What is special about the position of the pivot in this reordering of the input list?
Take the recursive leap of faith, and voilà!


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