Installing Puppet Dashboard
This is a chapter of the Puppet Dashboard 1.2 manual.
Navigation
- Installing Dashboard
- Upgrading Dashboard
- Configuring Dashboard
- Maintaining Dashboard
- Using Dashboard
- Rake API
Overview
Puppet Dashboard is a Ruby on Rails web app that interfaces with Puppet. It will run on most modern Unix-like OSes (including Mac OS X and most Linux distributions), requires a certain amount of supporting infrastructure, and can be deployed and served in a variety of ways. Dashboard’s web interface supports the following browsers:
- Chrome (current versions)
- Firefox 3.5 and higher
- Safari 4 and higher
- Internet Explorer 8 and higher
Installing, in Summary
In outline, the steps to get Dashboard running are:
- Installing the external dependencies
- Installing the Dashboard code
- Configuring Dashboard
- Creating and configuring a MySQL database
- Testing that Dashboard is working
- Configuring Puppet
- Starting the delayed job worker processes
- Running Dashboard in a production-quality server
After completing these tasks, Dashboard’s main functionality will be on-line and working smoothly. You can then configure Dashboard further and enable optional features
If you are trying to upgrade Puppet Dashboard instead of installing it from scratch, see the chapter of this manual on upgrading instead of reading further in this chapter. If you’re looking for a vastly simplified installation and maintenance process, download a free trial of Puppet Enterprise and try its improved and extended web console.
Installing Dependencies
Dashboard is distributed with the version of Rails it uses, as well as most of its other dependencies, but you’ll have to ensure that the following software is installed:
- RubyGems
- Rake version 0.8.3 or newer
- MySQL database server version 5.x
- Ruby-MySQL bindings version 2.7.x or 2.8.x
On most OSes, you’ll be able to install all of these easily with the OS’s package tools.
Note: Puppet supplies Ruby 1.8.7 packages for Enterprise Linux 5 and its variants in order meet the Ruby versioning requirement for Dashboard. Also note, these packages replace existing Ruby packages in your system.
Installing Dependencies Under Ubuntu 10.04 LTS
Due to issues with Ubuntu 10.04 LTS’s version of Ruby, you can install most dependencies from packages but must manually build gem
. Additionally, if you encounter performance issues, you may wish to manually upgrade your version of Ruby to patch level 299 or higher.
These instructions assume a fresh install of the OS, and may differ depending on its current configuration. The commands must be run from one of the standard shells, preferably bash
, dash
, or zsh
.
-
Install the operating system packages:
apt-get install -y build-essential irb libmysql-ruby libmysqlclient-dev \ libopenssl-ruby libreadline-ruby mysql-server rake rdoc ri ruby ruby-dev
-
Install the RubyGems package system, using the following shell script — do not use the
rubygems
packaged with the operating system:( URL="http://production.cf.rubygems.org/rubygems/rubygems-1.3.7.tgz" PACKAGE=$(echo $URL | sed "s/\.[^\.]*$//; s/^.*\///") cd $(mktemp -d /tmp/install_rubygems.XXXXXXXXXX) && \ wget -c -t10 -T20 -q $URL && \ tar xfz $PACKAGE.tgz && \ cd $PACKAGE && \ sudo ruby setup.rb )
-
Create
gem
as an alternative name for thegem1.8
command:update-alternatives --install /usr/bin/gem gem /usr/bin/gem1.8 1
Installing Puppet Dashboard
Your three options for installing Dashboard are to use the Puppet Labs package repositories, install the source from Git, or download a tarball of the source. Whichever way, you’ll end up with a single directory — as Rails apps are self-contained, all of Dashboard’s code, configuration, and run data will be stored in the same area. Any rake tasks mentioned later in this manual should be performed from a shell in this main directory, and any relative paths will refer to locations within it.
Installing from Packages
The best way to install Dashboard is with Puppet Labs’ official package repositories. This will automatically handle Dashboard’s dependencies, and will make for easier upgrades when new versions are released.
When installing from packages, Dashboard will be installed in /usr/share/puppet-dashboard
, and the puppet-dashboard
user and group will own the files; this user will be automatically created if it doesn’t exist.
Enabling the Repository
Before installing, follow the instructions here to enable the Puppet Labs package repository for your system.
Installing Dashboard
On RPM-based systems, install Puppet Dashboard via Yum:
$ sudo yum install puppet-dashboard
On Debian-based systems, install Puppet Dashboard via Apt:
$ sudo apt-get update
$ sudo apt-get install puppet-dashboard
Installing from Git
If you’re unable to use the Dashboard packages on your system, the next best way to install Dashboard is from the Puppet Labs Git repo. In the directory where you want Dashboard installed (we suggest /opt/
or /usr/share/
), run:
git clone git://github.com/puppetlabs/puppet-dashboard.git
cd puppet-dashboard
git checkout v1.2.0
The advantage of using Git is that you have an easier upgrade path: you don’t have to manually remember which files to preserve when upgrading, and the actual process of upgrading is much simpler. The disadvantage is that it basically turns Git into another dependency. See upgrading for more details.
If you haven’t installed Dashboard from a package, you must create a user and group for Dashboard and chown all its files to be owned by that user and group:
sudo chown -R puppet-dashboard:puppet-dashboard /opt/puppet-dashboard
Installing from Source Tarballs
If you prefer not to use Git, you can simply download the most recent release of Puppet Dashboard and extract it into your install location:
wget http://puppetlabs.com/downloads/dashboard/puppet-dashboard-1.2.0.tar.gz
tar -xzvf puppet-dashboard-1.2.0.tar.gz
mv puppet-dashboard-1.1.1 /opt/puppet-dashboard
If you haven’t installed Dashboard from a package, you must create a user and group for Dashboard and chown all its files to be owned by that user and group.
sudo chown -R puppet-dashboard:puppet-dashboard /opt/puppet-dashboard
Configuring Dashboard
Dashboard needs a config/database.yml
file and a config/settings.yml
file. It ships with functional examples of each, as config/database.yml.example
and config/settings.yml.example
respectively.
database.yml
The database settings file is located at config/database.yml
, and an example file can be found at config/database.yml.example
. This file should be a YAML hash with one key for each of the standard Rails environments: production, development, and test.
- The “production” environment gives the best performance, and should be used most of the time by most users. Rails does not consider production its default environment, and you must specify it manually with the
RAILS_ENV
environment variable when running any rake tasks or starting a WEBrick server. - The “development” environment gives worse performance, but yields better logging and error reporting when something goes wrong.
- The “test” environment is only used for running Dashboard’s automated tests, and should never be used by most users.
You will likely only ever be using the production environment. You may wish to use the same database for the production and development environments, as this can remove the pain of having to specify RAILS_ENV=production
for every rake task and gives you the option of running a temporary instance with the same data in the development environment (if you ever need to collect detailed error messages, for example). You should not use the same database for the test environment, as it gets destroyed every time the tests are run.
Each environment in the database.yml
file should be a hash with keys for database
, username
, password
, encoding
, and adapter
. At the moment, adapter
can only be mysql
, and encoding
should always be utf8
.
Do not give Dashboard the keys to MySQL’s root
user account — create a new database user for it (preferably named “dashboard”) and choose a secure password.
Since the database.yml
file has to contain Dashboard’s database user and password in cleartext, you should set its mode to 660 (or some other world-unreadable mode). If you’ve created the file while logged in as a normal user, be sure to chown it to the Dashboard user.
settings.yml
The general settings file should be a YAML hash. When first configuring Dashboard, you should simply make a copy of settings.yml.example
, as it’s unlikely that you’ll need to change any settings yet. (Although you may wish to change date_format
, custom_logo_url
, or no_longer_reporting_cutoff
.)
Creating and Configuring a MySQL Database
Dashboard needs a user, a password, and at least one database. Create these using the names and passwords you chose in your database.yml
file.
This will require that you use some external MySQL administration utility;1 in the standard command-line mysql
client, the commands will look something like this:
CREATE DATABASE dashboard CHARACTER SET utf8;
CREATE USER 'dashboard'@'localhost' IDENTIFIED BY 'my_password';
GRANT ALL PRIVILEGES ON dashboard.* TO 'dashboard'@'localhost';
(See the MySQL manual for more information.)
Tuning
After creating the database and user, you’ll need to configure MySQL’s maximum packet size to permit larger rows in the database. On rare occasions, Dashboard can send up to 17MB of data in a single row, and to ensure that it will function under load, you should edit /etc/mysql/my.cnf
to increase the limit to at least 24MB (we recommend 32MB or more):
# Allowing 32MB allows an occasional 17MB row with plenty of spare room
max_allowed_packet = 32M
Either restart the MySQL server for this setting to take effect, or run the following command from the mysql
client:
mysql> set max_allowed_packet = 33554432;
Preparing Schema
Once Dashboard has its database, it can create its tables, but this has to be done manually with the db:migrate
rake task. For typical use with the production
environment:
rake RAILS_ENV=production db:migrate
For developing the software using the development
and test
environments:
rake db:migrate db:test:prepare
The db:migrate
task can be safely run multiple times.
Testing That Dashboard is Working
You can now run Dashboard using Ruby’s built-in WEBrick server:
sudo -u puppet-dashboard ./script/server -e production
This will start a Dashboard instance on port 3000 using the “production” environment. You’ll be able to view Dashboard’s UI in a web browser at http://dashboardserver:3000, and your puppet master can now be configured to use it for reporting and node classification. Note that:
- You will need to have already created the puppet-dashboard user and group.
- You must specify the environment manually if you’re using anything other than “development”.
Running under WEBrick isn’t feasible for production use, since it can’t handle concurrent requests, but it can be useful when first getting Dashboard and Puppet configured. If you’d rather skip straight to a production-ready deployment, see the relevant section below.
Configuring Puppet
Puppet Dashboard has two main functions: report viewer/analyzer, and node classifier. Puppet can use either of these functions or both of them. Once you have puppet configured, you’ll need to restart puppet master.
Using Dashboard for Reports
For Dashboard to receive reports, there are two requirements:
- All agent nodes have to be configured to submit reports to the master.
- The master has to be configured to send reports to Dashboard.
Configuring Reports on Puppet 2.6.0 and Newer
-
Make sure that all agents have reporting turned on:
# puppet.conf (on each agent) [agent] report = true
-
Add the
http
report handler to your puppet master’sreports
setting and setreporturl
to your Dashboard instance’sreports/upload
URL:# puppet.conf (on puppet master) [master] reports = store, http reporturl = http://dashboard.example.com:3000/reports/upload
Using Dashboard for Node Classification
You can use Dashboard’s external node classifier (ENC) alongside traditional Puppet DSL node definitions. However, if you use your own custom ENC (or LDAP nodes), you won’t be able to use Dashboard’s ENC.
To use Dashboard’s ENC, you’ll need to set the puppet master’s node_terminus
and external_nodes
settings, and make sure the master can access Dashboard’s node classification script, which is located at bin/external_nodes
. This script’s behavior can be overridden by setting environment variables; unless you’re serving Dashboard over HTTPS, the only one you’ll need to set is PUPPET_DASHBOARD_URL
.
# puppet.conf (on puppet master)
[master]
node_terminus = exec
external_nodes = /usr/bin/env PUPPET_DASHBOARD_URL=http://localhost:3000 /opt/puppet-dashboard/bin/external_node
Testing Puppet’s Connection to Dashboard
After restarting puppet master, you can run one of your puppet agents with puppet agent --test
to check whether the configuration is correct. The agent should be able to retrieve its catalog and complete its run, and when you reload the Dashboard UI in your web browser, you should see “1 pending task” under the “Background Tasks” heading in the upper left corner.
This means the report arrived as expected, and will be processed once the delayed job workers are active.
Starting and Managing Delayed Job Workers
Dashboard uses a delayed_job
queue to asynchronously process resource-intensive tasks. Although Dashboard won’t lose any data sent by puppet masters if these jobs don’t run, you’ll need to be running at least one delayed job worker (and preferably one per CPU core) to get the full benefit of Dashboard’s UI.
A future version of Dashboard will ship with init scripts which will let you manage the workers with Puppet or your platform’s service tools, but in the meantime, you must either use the provided monitor script or start non-daemonized workers individually with the provided rake task.
Using the monitor script
Dashboard ships a worker process manager, which can be found at script/delayed_job
. This tool’s interface resembles an init script, but it can launch any number of worker processes as well as a monitor process to babysit these workers; run it with --help
for more details. delayed_job
requires that you specify RAILS_ENV
as an environment variable. To start four worker processes and the monitor process:
$ sudo -u puppet-dashboard env RAILS_ENV=production script/delayed_job -p dashboard -n 4 -m start
In most configurations, you should run exactly as many workers as the machine has CPU cores.
Monitoring the Monitor
For additional reliability, you might want to use a standard service monitoring tool like god, monit, or runit to supervise the script/delayed_job
monitor. You can also look into other ways to run delayed_job
workers, as it’s becoming a fairly standard component in the Rails world.
Using the jobs:work
Rake Task
We don’t recommend using rake-started workers for production, but they can be useful when testing or developing Dashboard. To start a single worker in the production environment:
$ sudo -u puppet-dashboard rake RAILS_ENV=production jobs:work
Running Dashboard in a Production-Quality Server
Although you may have tested Dashboard using the included WEBrick server script, you’ll need to deploy in a production-quality server like Apache with Passenger or Nginx with Passenger, Thin, or Unicorn before rolling out Dashboard to your entire site. Instructions follow for running Dashboard under Apache with Passenger, but as Dashboard is a fairly standard Rails application, instructions for using any popular backend should be easily adaptable.
Serving Dashboard With Passenger and Apache
First, you’ll need to ensure that Apache 2.2 and Phusion Passenger are installed. The Passenger website has installation instructions, but it’s quite possible that your OS vendor has already packaged Passenger, which can make for a much easier install.
Once Passenger is enabled, copy Dashboard’s example vhost from ext/passenger/dashboard-vhost.conf
into Apache’s sites-enabled
directory and edit it to match your Dashboard installation. Passenger runs Rails apps in the production environment by default, so you won’t need to explicitly set the environment (with the RailsEnv
directive in the vhost configuration) unless you plan to run it in development mode. The parts of the file you’ll need to edit are:
- The port on which to serve Dashboard. This defaults to 80, but if you want to serve it on Puppet’s preferred port of 3000, you’ll need to change the opening tag of the vhost definition block to
<VirtualHost *:3000>
and insert aListen 3000
directive above it. - The subdomain you’ll be serving Dashboard from, which is generally just the fully-qualified domain name of this machine. Put this in the
ServerName
directive. - The location of Dashboard’s
public
directory, which should go in both theDocumentRoot
directive and the<Directory>
block opening tag. - Your preferred log file locations, which go in the
ErrorLog
andCustomLog
directives. - The paths to Passenger,
mod_passenger
, and Ruby. But before you tweak these, scan the rest of Apache’s config files: if you installed Passenger from a vendor package, it probably already inserted a global config file to make sure it’s loaded, in which case you can safely comment out the first three lines of this vhost config. Otherwise, point theLoadModule
,PassengerRoot
, andPassengerRuby
directives at the top of the file to the correct files and directories.
 - Passenger will need either the per-server
RailsAutoDetect
directive set toOn
(which is its default state), or aRailsBaseURI
directive in the vhost definition.
Once Dashboard’s vhost config is properly configured, simply restart Apache and test that Puppet can communicate with Dashboard, as described above.
Navigation
- Installing Dashboard
- Upgrading Dashboard
- Configuring Dashboard
- Maintaining Dashboard
- Using Dashboard
- Rake API
-
Instead of creating a database manually, you can also use the
db:create
ordb:create:all
tasks, but these require that Dashboard’s MySQL user already exist and have the appropriate permissions on the requested database. Since you’ll likely need to use raw SQL commands or another external tool to do that, you might as well just create the databases while you’re in there.↩


--- layout: default ---
Do you want to hurt yourself? Or are you having thoughts about hurting yourself or being hurt and you can't make them stop?


The read_datamine macro reads datamine (.dm) format files.
Input Ports
Name Type Description dir string Directory containing datamine files filenames string[] Array of datamine filenames Parameters
Name Type Description UI Control model_as_point boolean Output points or hex boxes. Toggle model_scale float Specifies scale of hex boxes. Slider Output Ports
Name Type Description out_flds Field[] Array of fields read from datamine files. out_obj GDobject Directly renderable output object
The read_datamine macro allows a number of datamine (.dm) files to be read and outputs an array of fields containing the read data. The datamine file format was developed by Datamine International Ltd of the UK for their Datamine product. Further information on the Datamine International and their Datamine series of products can be found on their web-sites at www.datamine.co.uk or www.earthworks.com.au . Alternatively Datamine International can be contacted at the following address.
DATAMINE International The Old Deanery Stables Cathedral Green Wells Somerset BA5 2UE UK Tel. +44 1749 670097 Fax. +44 1749 670086<EMAIL_ADDRESS>thanks go to Ben Heather and Derk Erkelens of Datamine for providing the file format specification and example data files used in the development of this project.
dir
Name of the directory that the datamine files should be read from. The directory string should not end with a path separator (i.e. \ or /). The directory name can contain AVS/Express environment strings such as $XP_PATH<0>.
filenames[]
Array of strings containing the names of the datamine files that should be read.
model_as_point
Boolean parameter that specifies if 'blockmodel' type data should be output as points or as hex blocks. If the parameter is true point data will be output. This parameter is provided because datamine files can contain hundreds of thousands of blocks. Outputting these is points will greatly reduce the time taken to read and process the data.
model_scale
Floating point parameter that specifies how hex blocks should be scaled. A value of 1 implies that the blocks should not be scaled. If the file does not contain 'blockmodel' type data or the data is being read as points this parameter does not have any effect.
out_flds[]
Array of fields containing the data read from the specified datamine files. Each datamine file is read into a single field in a single element of the array. If a single field is required for visualization the extract_field macro can be used to select a single field from the array.
out_obj
The GDobject version of the output, suitable for direct connection to the viewer. It contains the array of fields present on the out_flds output port.
The ReadDatamineFunc functional macro uses the low-level ReadDatamineCore module. This functional macro and the ReadDatamineUI user interface macro are used by the read_datamine user macro. All of these macros use the ReadDatamineParams parameter block to communicate data.
The extract_field utility macro is also provided. This macro allows a single field to be extracted from the array of fields output by the the read_datamine macro. An example of the use of this macro can be seen in the ReadDatamineEg example application.
The project includes one example application that demonstrates the use of the read_datamine macro. The ReadDatamineEg application uses the read_datamine macro to read 4 datamine format files. These are output as an array of fields. extract_field and extract_component macros are used to extract a field containing a single set of node data from this array. This field is then displayed in the normal way.
xp_comm_proj/rd_dmine/rd_dmods.v contains the V definitions of the ReadDatamineCore module and the ReadDatamineParams parameter block.
xp_comm_proj/rd_dmine/rd_dmacs.v contains the V definitions of the ReadDatamineUI UI macro, the ReadDatamineFunc functional macro, the extract_field utility macro and the read_datamine user macro.
xp_comm_proj/rd_dmine/rd_dapps.v contains the V definition of the ReadDatamineEg example application.
The low-level ReadDatamineMods library containing the low-level ReadDatamineCore module does not specify a process. By default the express process will be used.
Jeremy Maccelari, Visual Numerics
Andrew Dodd, International AVS Centre


Nindus Azrahn Felard
Help Me Pick New Logo Through 3 April 2016!
I am in the process of running a logo design contest on 99designs and have created a poll with 6 of the best logo designs I've received. I would love for you to vote on the logo design. It only takes a minute.
Like Sci-Fi? Read My New Online Fiction Series.
Do you like Sci-Fi? While I finish up my next novel, I have started an online fiction series called Forbearance. Picking up from the canteen scene in Bellicose, we meet Keius Minjen, a postal marine, as he tries to survive the battle planet Guna to exact revenge and one day liberate his homeland.
Sign-up if you want me to send you news about upcoming installments of Forbearance or my other writings.
Clan Felard was a relatively obscure family from the [Star Systems](/macropedia/star-systems)/Belshane System. There is some debate over when the family established its presence there. Many rivals claim that Clan Felard derives its lineage from the days when Belshane was a penal mining system. The Clan itself bristles at those claims, instead stating that they were one one of the slowboats that arrived later. Genetic research indicateds that both stories are probably true. That is, while there is firm support for the matriarch of Clan Felard arrived via slowboat, there is also genetic records of a former convict that appears to have established a relationship. This naturally plays into the rival families who like to think of them as the Bastard Clan of Felard.
Regardless of their dubious background, the Clan itself would have remained obscure were it not for Nindus Azrahn Felard. His branch of Clan Felard distinguished itself during the Novya Siberia Belshane War by winning one of the few victories earned by the Belshan. Nindus himself arrived much later, when even that branch had seemed to have reached the end of its bearing fruit.
Nindus Felard was not a warrior. Instead, he was schooled as a medical doctor. While attending the Academy of Medical Health Sciences, he showed singular brilliance in understanding human physiology and found himself with more idle time than most students would. He occupied that time enjoying the local night culture. There, he developed friendships that would launch his non-medical career.
Politically, most of his non-medical school associates were vehemently anti-Empire. He soon began to see the same decay they saw in the fabric of society. When he graduated, he lobbied hard to serve with the Tithian Foundation. The Foundation had become primarily a think tank, rather than the glorious exploration enterprise it started out as. When Felard began working there, among its research was its neuro-genetic research on solving the vexing problem of tripudiosychosis–the psychological impact of traveling in the Soup; among other things. Over time he was awarded a position as a full fellow of the Foundation. He then astounded everybody by becoming the youngest Director General of the Foundation at 43 years-old.
It was not long after that the Foundation began to exhibit serious fiscal weaknesses. Projects were running grossly over budget, and findings were increasingly unreliable. Many thought that Felard would be fired before his first 12-year term was complete. However, a few private funding groups quietly approached Jubal III with a very tantalizing offer. Jubal sold the Foundation to these private organizations for an unrecorded amount.
The new owners of the Foundation did not relieve Director General Felard. Instead, they gave him new authority to re-organize the Foundation into a more balanced organization. Where before he showed seemingly boundless administrative ineptitude, Felard surprised his critics by quickly changing the Foundation’s direction. This led some to conclude that he worked in collusion with some of the Foundation’s private backers to effect its sale by Jubal III.
Until the restructuring, the Foundation was a fairly low-key organization. It would routinely make great strides in whatever research it engaged in. However, it managed not to attrack too much attention. Afterward, Felard established a public affairs department that would ensure that it obtained recognition for its efforts. This included a legal department that exposed how the Empire either abused Foundation research or refused to support “key” research. This propaganda echoed the message he was exposed to as a young medical student.
In retrospect, his stewardship of the Foundation did much to undermine the credibility of the Empire. Some of the entanglements between the Foundation and the Empire are legend amongst we scholars. Director General Felard remained at the helm until his death at age 137. Researchers are still trying to fix the amoung of harm his Foundation caused. Since his death, the Foundation has shown increasing signs of destablization and will more than likely close its doors in the next few years.
References
- [Star Systems](/macropedia/star-systems)/Belshane System
- Jubal III
- Novya Siberia Belshane War
- Tithian Foundation


{% extends "header.html" %} {% block body %}
Alright everyone, time gather our thoughts, and plant our feet.
So far, we've only done a few very basic things, so, it may seem like we've only just barely left the beach, but, the reality is, we're in very deep waters already.
Let's consider the current situation.We have a lot of variables already which will need to be accounted for. Not only do we have explicit variables, we also have implicit ones.
Our Explicit Variables:
1. Percent change as pattern recognition.
- this could be other things as well.
2. Start point to current point % change.
- as compared to point-by-point, or end to start.
- point by point will give us differing looking lines visually,
- end to beginning will give us end points that are more accurate.
3. Fixed pattern length of 30
4. Fixed value, or weight, of patterns, no matter how old or fresh they are.
5. Looking 20-30 points into the future for the outcome. Truthful? Smaller or wider?
6. Similarity required to bring pattern into consideration.
Implicit Variables:
Opportunity vs Accuracy.
In machine learning, the way we typically find the best scenario, is much like how companies find the best price for their products. Profit margin matters, but amount sold matters too! A very cheap price will sell many units presumably, but profit per unit will be less than a higher price per unit, which would result in fewer sales.
Here, we must also weigh opportunity, which is the volume of possible trades/much like the amount of units sold, comparing this to Accuracy, which is how often we're correct, which is much like the profit margin (since you might have a 60% accuracy in high volume opportunities, compared to 80% in low volume).
Consider:
You find an algorithm that will earn you $2 a trade, with 85% accuracy, very appealing. With this, you're allotted an opportunity to deploy this tactic 600 times, or for 600 trades.
This means, at 85%, you will be successful with 510 of those trades, and lose 90 of them.
510 successful trades @ $2 a trade is $1,020
90 unsuccessful trades @ $2 a trade is $-180
A total profit of $840.
Let's consider another situation, which earns you the same $2 a trade if successful, but only has 70% accuracy. That said, it is a looser algorithm, thus giving more opportunity, and you get 1800 trades.
This means 1260 trades are successful, for $2520 profit.
This also means 540 trades are not, for $-1080 meaning total profit of $1440.
Now, the above example is actually more likely an underexaggeration. You will find as you loosen up the requirements, even by tiny degrees, opportunities added are usually exponential, so opportunity will go up very quickly as we adjust things, but, eventually, the return in profit will not match the risk. The goal is to find the perfect balancing point. As such, this is a very important variable to keep in mind.
Luckily for you, all of the above variables are capable of being machine learned!
If you consider the unlimited allowance of pattern length, and unlimited degree of comparison (since we can say we require something like 72.5522512525% accuracy)... you will find quickly that the combination of variables is unlimited... so where do we even begin?!
Generally, the accepted method with machine learning for finding the best combination of variables is to recalculate and continue following the path that is showing growing improvement with each step. As long as return on "change" continues growing, then you should continue. It's often compared to finding the quickest path down a mountain, like a rolling ball might. So long as you keep going down (improving) you keep moving variables in that direction until you stop going down, then change some others.


chartist-render from CSV demo
Pie chart from CSV
A pie chart of favorite fruits (chart)
Line chart from CSV
Sales by Quarter (chart)
A bar graph of sales by quarter. Each series is a salesperson.
Bar chart from CSV
Sales by Quarter (chart)
A bar graph of sales by quarter. Each series is a salesperson.


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Error:
Enter a valid email address
Input with warning
Example help text that remains unchanged.


An epic tale about bravery and JavaScript.
The adventure beings
Combat lessons might come in useful...
The forest. The first fight. The first victory.
You've listened to RamdaJS - The Story
by Constantin Dumitrescu / @dumconstantin / dum.constantin@gmail.com


|
Nakama C++ Client SDK
2.2.0
Client for Nakama Server
|
A user in the server. More...
#include <NUser.h>
Public Attributes | |
| std::string | id |
| The id of the user's account. More... | |
| std::string | username |
| The username of the user's account. More... | |
| std::string | displayName |
| The display name of the user. More... | |
| std::string | avatarUrl |
| A URL for an avatar image. More... | |
| std::string | lang |
| The language expected to be a tag which follows the BCP-47 spec. More... | |
| std::string | location |
| The location set by the user. More... | |
| std::string | timeZone |
| The timezone set by the user. More... | |
| std::string | metadata |
| Additional information stored as a JSON object. More... | |
| std::string | facebookId |
| The Facebook id in the user's account. More... | |
| std::string | googleId |
| The Google id in the user's account. More... | |
| std::string | gameCenterId |
| The Apple Game Center in of the user's account. More... | |
| std::string | steamId |
| The Steam id in the user's account. More... | |
| bool | online = false |
| Indicates whether the user is currently online. More... | |
| int32_t | edgeCount = 0 |
| Number of related edges to this user (friends). More... | |
| NTimestamp | createdAt = 0 |
| The UNIX time when the user was created. More... | |
| NTimestamp | updatedAt = 0 |
| The UNIX time when the user was last updated. More... | |
A user in the server.
| std::string Nakama::NUser::avatarUrl |
A URL for an avatar image.
| NTimestamp Nakama::NUser::createdAt = 0 |
The UNIX time when the user was created.
| std::string Nakama::NUser::displayName |
The display name of the user.
| int32_t Nakama::NUser::edgeCount = 0 |
Number of related edges to this user (friends).
| std::string Nakama::NUser::facebookId |
The Facebook id in the user's account.
| std::string Nakama::NUser::gameCenterId |
The Apple Game Center in of the user's account.
| std::string Nakama::NUser::googleId |
The Google id in the user's account.
| std::string Nakama::NUser::id |
The id of the user's account.
| std::string Nakama::NUser::lang |
The language expected to be a tag which follows the BCP-47 spec.
| std::string Nakama::NUser::location |
The location set by the user.
| std::string Nakama::NUser::metadata |
Additional information stored as a JSON object.
| bool Nakama::NUser::online = false |
Indicates whether the user is currently online.
| std::string Nakama::NUser::steamId |
The Steam id in the user's account.
| std::string Nakama::NUser::timeZone |
The timezone set by the user.
| NTimestamp Nakama::NUser::updatedAt = 0 |
The UNIX time when the user was last updated.
| std::string Nakama::NUser::username |
The username of the user's account.


--- layout: post title: posted by k300i date: 2008-12-14 14:05:07.000000000 +07:00 type: post published: true status: publish categories: - uncategorized tags: - gak penting ---
lgi coba-coba posting pke hp 200ribuan ...


@* * Copyright 2023 HM Revenue & Customs * * Licensed 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. *@ @import config.AppConfig @import controllers.routes.RulingController @import models.forms.DecisionFormData @import models.request.AuthenticatedRequest @import models.{CaseStatus, Permission, StoredAttachment} @import models.viewmodels.atar.RulingTabViewModel @import utils.Dates @import views.html.components.edit_ruling_button @import views.html.partials.ruling._ @import views.html.partials.{attachments_list, tab_heading} @(ruling: RulingTabViewModel, decisionForm: Option[Form[DecisionFormData]], files: Seq[StoredAttachment], startAtTabIndex : Int = 0)(implicit request: AuthenticatedRequest[_], messages: Messages, appConfig: AppConfig) @tab_heading("ruling", messages("case.menu.ruling-advance")) @if(request.hasPermission(Permission.EDIT_RULING) ) { @edit_ruling_button(RulingController.editRulingDetails(ruling.caseReference)) }


N.B.: The contract date represents the date that the contract is recorded in the departmental financial system.
| Vendor Name | GENIVAR INC. |
|---|---|
| Reference Number | 700226921 |
| Contract Date | 2012-07-31 |
| Description of Work | 422 - Engineering Consultants - Construction |
| Contract Period - From | 2012-07-26 |
| Contract Period - To | 2014-03-31 |
| Delivery Date | |
| Contract Value | $210,167.58 |
| Total Amended Contract Value | $228,812.58 |
| Comments | This contract is a call-up against a Public Works and Government Services Canada procurement tool.This contract includes one or more amendments.This contract is a multi-year contract. Comprehensive detailed annual inspections of the Lasalle Causeway for 2012, 2013 and 2014. A Comprehensive Detailed Inspection in accordance with the provisions of the PWGSC Bridge Inspection Manual (BIM), and the most current version of the AASHTO movable Bridge Inspection, Evaluation, and Maintenance Manual. Inspection to include all structures; the west approach, the west bridge, west wharf, the bascule bridge, east wharf, east bridge, and the east approach. Inspection of the following components is required at a minimum. |


{% extends '../layouts/template.html' %} {% block title %}Check my State Pension - {{mvpversion}}{% endblock %} {% block serviceName %}Check your State Pension{% endblock %} {% block main %}
We’ve received your feedback.
To use the service again you’ll need to sign in.
You may get extra State Pension if you defer your claim.


?N.!y!!.T.?!!!<
botanical
qarden
00041218
6
7
8
9
10
.
,,
The
New
York
copyright
reserved
botanical
Garden
REPORT
ANY
REIDENTIFICATION
OF
THIS
VOUCHER
TO
THE
INSTITUTE
OF
ECONOMIC
BOTANY,
NY
The
He»
York
Botanical
Garden
INSTITUTE
OF
ECONOMIC
BOTANY
Plants
of
CoMon«ealth
of
Doiinica
_.
.
,
.
SAPOTACEAE
Sideroxylon
foetidissimum
Jacq.
-
HX.
See6,93
WEST
INDIES,
Dominica.
St.
Patrick.
On
top
of
ridge
south-east
of
Ledour
distillery
in
Loqiste,
Petite
Savane.
15°14'N,
61®16'W.
150m.
Advanced
secondary
rainforest.
Rare.
Tree
25mx75cm
dbh;
wood
yellow,
hard;
bark
smooth
w/vertical
hammer
marks
&
fissures;
inner
bark
reddish;
resin
slight,
white,
sticky.
n.v.:
Acoiat
St.
Christophe
[Creole-Patoisl.
NCI
Saiple
codes:
0CJH51H
(LF);
51S-Z
(TS);
517-4
(BK);
518-C
(SS);
519-F
(R
RT|
Eirik
Stijfhoorn
857
June
20,
1992
with
G.A.
Eidesen,
L.
Moise
and
H.T.
Beck
Fieldwork
supported
by
the
national
Cancer
Institute
BOTANICAL
GARDE**
01443531
00041218
01443531
Legend -
Level of confidence that token is an accurately-transcribed word
extremely low
very low
low
undetermined
medium
high
very high


--- layout: post title: Scraping Chase Bank Check Images date: 2013-09-03 00:48:05.000000000 -07:00 categories: [] tags: [] status: publish type: post published: true ---
In this post I am sharing a little iMacros for Chrome script that lets you scrape Chase Bank check images from your Chase checking account.
For about a year I've been hand downloading Chase check images every now and then. But this little iMacros script has helped tonight - it's not yet handling all the work of downloading images yet, or extra pages of check images, but it is a start:
VERSION BUILD=6060703 RECORDER=CR
URL GOTO=https://banking.chase.com/AccountActivity/AccountDetails.aspx?AI=NNNNNNNNN&PageIndex=1
WAIT SECONDS=3
TAG POS=1 TYPE=SELECT FORM=ID:AccountDetails ATTR=ID:TxnTypesList CONTENT=%CHECK_WITHDRAWS
TAG POS=1 TYPE=INPUT:SUBMIT FORM=ID:AccountDetails ATTR=ID:btnShowTxntype
WAIT SECONDS=4
TAG POS={{!LOOP}} TYPE=A ATTR=TXT:(view)
PAUSE


Programmers include notes, or comments in their code. Let's see how it's done:
// This is a comment
/*
This
is
a
multiline
comment
*/
In VB, this would be:
' This is a comment
' This
' is
' a
' multiline
' comment
Except that there are no multiline comments.
Next


ALWAYS (PG)
Directed by Steven Spielberg Running Time: 121 minutes Originally Released: 1989
Reviewed by E. Benjamin Kelsey
* * (out of four)
The words "not bad" have never summed up a movie so well. Then again, the words "not that great" also apply here. ALWAYS, Steven Spielberg's film to top off the 1980's, is quite the example. The cinematography, acting, and even the overall idea isn't too bad, but this movie is still nothing to get excited over. Mostly, it's just a semi-decent rental when you've already seen everything else.
ALWAYS is a remake of the 1943 film A GUY NAMED JOE, a supposed favorite of Mr. Spielberg himself. Richard Dreyfuss stars as Pete, a pilot with a passion for fighting forest fires - a passion so intense, it leads to frivolous stunts and in-the-air horseplay, much to the dismay of Pete's pilot girlfriend, Dorinda (Holly Hunter). Dorinda has had enough high anxiety and, professing her love, convinces Pete to finally settle down and take a teaching position in a small Colorado town. But before he quits the job he loves so much, Pete finds himself fighting one last forest fire, but this time he doesn't come back.
The excessive foreshadowing doesn't allow for any real surprise at Pete's "sudden" death. In fact, it takes too long trying to create a heavy fairy-tale atmosphere and romance before it gets to this point. When Pete does get to the other side however, he is welcomed by an angel named Hap (Audrey Hepburn - now we know how she's spending her afterlife). Hap tells Pete he must go back and help a young hopeful named Ted Baker (Brad Johnson) succeed as a fire-fighter pilot. As obvious as it is to the audience, Pete doesn't realize he is actually helping Ted find Dorinda, and therefore find true love. For this to take place however, both Pete and Dorinda need to get on with their life (or afterlife), something they don't seem to want to do.
John Goodman has a role as Pete's pre-death best friend Al. In fact, it was Al's life Pete was saving when he was killed, a less-than-affective attempt at turning the protagonist's death into a touchy piece of heroism. Al's role in the film is a bit undefined, and it's very hard to tell the importance, if there is any, of his character. When the film ends, there is still no answer.
It's obvious this film is aching to be a magical "make you laugh, make you cry" experience, but instead, it comes off rather corny. It's a sad failure in excellence, especially when it's so obvious Spielberg (and even Dreyfuss) really want it to work. You can sense their dedication to the project, but dedication or no, the gas tank was empty, and ALWAYS just couldn't get going. It was also quite forgettable, and I'm already finding it difficult to remember what happened outside the basic plotline. Flat, unimpressive characters haven't left anything to chew on either.
 Watching airplanes take off at the airport is cheaper and perhaps a bit more exciting, but if you're just looking for a cure to insomnia that won't upset your stomach, this could be the answer.
February 01, 1998
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


scriptLoader
(service in module umbraco.services
)
Promise-based utillity service to lazy-load client-side dependencies inside angular controllers.
To use, simply inject the scriptLoader into any controller that needs it, and make sure the umbraco.services module is accesible - which it should be by default.
angular.module("umbraco").controller("my.controller". function(scriptLoader){ scriptLoader.load(["script.js", "styles.css"], $scope).then(function(){ //this code executes when the dependencies are done loading }); });


Emulator for Testing SMS Interface
Please ensure that readsms.cf and ccsmsgate.cgi is set up correctly for the interface that you are testing Cardboardfish, Aql or Gammu
There's a problem in that some interfaces use 'number' and others 'originator' watch out!
Look at debugging log file


Typescript starter project
Type '
curl "angular2-jspm.surge.sh/index.js" | node
' to create
or click
here
to download and run manually.


Everything You Need. To Start checking your Spam Emails
Result - Our Smart Tool predicted that your E-Mail is:
Pretty complex tools aembeded in simple designs and yet functional. Intended for regular users keeping their ease of use in mind.
To identify new Potential Spam E-Mails from known & unknown sources.
This is what going to be a speciality of our product.
As spammers are getting smarter each day, this highly efficient Machine Learning Algorithm will help you tackle and knock out those Spammers.
Spamming is a big problem! Anyone who is connected to internet faces this problem now and then, but with Corporates, it becomes a serious problem. Phishing attacks, greedy traps and many create a havoc if not handled properly.
Our product E-Mail Spam Classifier is a solution for these Spams. Through our Intelligent Web- Based Product, you can find Spam E-Mails and can label them as Spam for future reference
Excepteur sint occaecat cupidatat non proident sunt in culpa qui officia deserunt mollit anim id est laborum.
Excepteur sint occaecat cupidatat non proident sunt in culpa qui officia deserunt mollit anim id est laborum.
The model detects, if a text message/mail is spam(1) or ham(0) using techniques like tokenizaton, multinomial naive bayes classifier, etc.
Excepteur sint occaecat cupidatat non proident sunt in culpa qui officia deserunt mollit anim id est laborum.
Excepteur sint occaecat cupidatat non proident sunt in culpa qui officia deserunt mollit anim id est laborum.
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Accuracy
Rate
Precision
Score
f1
score
Active
Members
HTML
CSS
Javascript
User-friendly
Light Interface
Light-Weight
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Version 3.6
-
Detection Model
Tokenisation
Naive Bayes Classifier
High Accuracy
High F1 Score
Labelled Data
5000+ Messages
Tagged as Spam & Ham
in Text Format
Stored as .csv file
Everything you need to know at One Place
CSE 3rd Year
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CCE 3rd Year
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ECE 3rd Year
IGDTUW Delhi
CSE 3rd Year
Manipal University Jaipur


{% extends "layout.html" %}
{% set title = "Properties" %}
{% set version = "4" %}
{% block page_title %}
{{title}}
{% endblock %}
{% block service_name %}
Check and challenge your business rates valuation
{% endblock %}
{% block head %}
{% include "includes/head.html" %}
{% endblock %}
{% block content %}
{% include "includes/phase_banner_prototype_signout.html" %}
{{title}}
You have properties
| Address |
Local authority reference |
Agent |
Actions |
Status |
|
|
|
|
|
{% include "includes/get_help.html" %}
{% endblock %}
{% block body_end %}
{% include "includes/" + version +"/scripts.html" %}
{% endblock %}


|
Jabra Amazon Connect Demo |
||
How to run this demo: | ||
|
Step ①
Use Google Chrome and install the Jabra Browser Integration Extension and native Chromehost downloads mentioned here. This provides basic call control (synchronized mute between Amazon Connect and headset indicators/buttons, etc.) for all Jabra USB devices. |
||
|
Step ②
For a complete demo with analytics (background noise, crosstalk etc) please use a single Jabra Engage 50 device. Attach the device to your computer (removing any other Jabra devices) and make sure it is the default device used for both audio and microphone. Nb. Default audio device is set by your operating system. Default microphone can also be overridden in Chrome under Settings > Show Advanced Settings > Content Settings. |
||
|
Step ③
Create an Amazon Connect instance if you don't have one already. Ask your Amazon Connect administrator to whitelist |
||
|
Step ④
Please write the Amazon Connect CCP url provided by your administrator, any phone number for easy outbound calls using the 4-dot button on the Jabra Engage 50 controller, optionally an Elasticsearch v6.6 host for reporting : |
||
Jabra Amazon Connect Demo |
|
|
|
|
|
|
Headset selectionYour Jabra headset is selected as speaker and microphone Boom armPosition unknown, please wait Background noiseAudio exposureCall overview |


{% for file in site.static_files %} {% if file.path == site.headshot %}
{% include headshot.html image=file.path %} {% endif %} {% endfor %}
Hello! I am a software developer from the UK, working primarily in web
and cloud computing.
Main technologies:
python
javascript (react)
amazon web services (aws)
google cloud platform (gcp)


DESTINY TURNS ON THE RADIO A film review by Scott Renshaw Copyright 1995 Scott Renshaw
Starring: Dylan McDermott, Nancy Travis, James LeGros, Jim Belushi, Quentin Tarantino. Screenplay: Robert Ramsey and Matthew Stone. Director: Jack Baran.
Adventurous young screenwriters and filmmakers often have to walk a very fine line between originality and approachability. Those seeking financing from sources like The Sundance Institute are trying to win people over with a creative spirit, but a different aesthetic is frequently required if the film is lucky enough to make it into the marketplace. DESTINY TURNS ON THE RADIO has already been branded with the financially toxic label of "cult film," and it is true that its tone bears more than a passing resemblance to films like REPO MAN and WILD AT HEART. But there's more than that to DESTINY. Although it is wild and quirky, occasionally to excess, it is also surprisingly entertaining and grounded in real emotion by an exceptional performance from Nancy Travis.
Dylan McDermott stars as Julian Goddard, a bank robber just escaped from prison after three years. He is picked up along the road by an odd fellow named Johnny Destiny (Quentin Tarantino), and the two men head for Las Vegas. There Julian hopes to be reunited both with his partner-in-crime Harry Thoreau (James LeGros), who should have his half of the bank haul, and with his girlfriend Lucille (Nancy Travis). Unfortunately, Lucille has since hooked up with casino boss Tuerto (Jim Belushi), and the money was stolen from Thoreau on the night of the robbery ... as it turns out, by Johnny Destiny. As Julian attempts to win back Lucille's heart and Thoreau prepares for another meeting with Destiny, they all discover that there are some things you just can't plan for in Las Vegas, "a town of limitless possibilities."
It would be foolish to suggest that the first thing one would notice about DESTINY TURNS ON THE RADIO would be anything but it's rather off-center characteristics. A motel with rooms named after Marilyn Monroe films, a shared dream which results in a pregnancy and an electrified swimming pool which acts as a gateway to another reality are not exactly the stuff of your average multiplex picture. There are occasions when those elements come perilously close to overkill, or indeed topple into overkill, but they are rare. The main reason screenwriters Robert Ramsey and Matthew Stone and director Jack Baran succeed is that most of the strangeness comes from the characters, and they are well-developed and well-performed almost to a one. Dylan McDermott and James LeGros play off each other well as the two thieves, each with his own ideas about the strange events of the story, and Jim Belushi is both comic and menacing as the big shot with a penchant for grabbing is crotch. The smaller roles are full of winners as well: Barry Henley and Richard Edson as two cops in terrible sport coats; Tracey Walter as Julian's reclusive father; Bobcat Goldthwait as an undercover cop; especially David Cross as a hyperkinetic talent agent. Only Quentin Tarantino, who should be declared legally charisma-impaired, bombs in his role. That's a problem, because Johnny Destiny requires _presence_, not just attitude.
Though DESTINY TURNS ON THE RADIO could have been little more than a loose conglomeration of strange scenes, the film is held together by the location. Las Vegas becomes a kind of character in the film, a real-life mirage of false hopes. One character (the comically named recording executive Vinnie Vidivici) describes the city as "smelling of formaldehyde," and that feeling is part of the story. Vegas is where dreams and careers go to die, where doomed marriages are born, and where chance turns everyone into a loser eventually.
It is Nancy Travis who drives that theme home. For all practical purposes, DESTINY TURNS ON THE RADIO really revolves around Lucille, a casino singer stuck in the place where nobody gets "discovered." When Julian and her one big chance at fame turn up on the same day, Lucille faces some tough choices between her dreams of happiness and her pragmatism. It is an intriguing character, wonderfully played by an actress who has been stuck too often in minor roles in bad films like GREEDY.  DESTINY TURNS ON THE RADIO is aimed at those with a taste for the surreal, but it also has a very real heart which makes it more than the sum of its parts.
On the Renshaw scale of 0 to 10 destinies: 7.
-- Scott Renshaw Stanford University Office of the General Counsel
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Home
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Package org.thedryden.workmanager
Class Worker
java.lang.Object
org.thedryden.workmanager.Worker
- All Implemented Interfaces:
WorkerInterface
public abstract class Worker extends java.lang.Object implements WorkerInterface
Default implementation of the WorkerInterface. There really shouldn't be much need to ever not use this abstract class, but if you want feel free to code your own.
- Author:
- Matthew Dryden
-
Constructor Summary
Constructors Constructor Description Worker()
Creates a new worker with no precedenceConstraint. -
Method Summary
Modifier and Type Method Description Worker
addPrecedenceConstraint(java.lang.String precedenceConstraint)
Adds a precedenceConstraint to the set of precedenceConstraint, creating a new set if necessaryjava.util.Set<java.lang.String>
getPrecedenceConstraint()
Returns the current precedenceConstraintint
getRetryAttempts()
int
getRetryWaitSeconds()
Status
getStatus()
Returns the current status of this workerjava.lang.String
getThreadName()
Returns the current thread name.java.lang.String
getThreadNameAppend(java.lang.String append)
Returns the thread name, with the provided string appended to the endjava.lang.String
getThreadNamePrepend(java.lang.String prepend)
Returns the thread name, with the provided string prepended to the endvoid
run()
This method is designed to call worker class, while managing both the classes status and error handling and basic logging / timing.void
setPrecedenceConstraint(java.util.Set<java.lang.String> precedenceConstraint)
Used to set the precedenceConstraintvoid
setRetry(int retryAttempts, int retryWaitSeconds)
void
setStatus(Status status)
Sets the current status of this worker.void
setThreadName(java.lang.String threadName)
Used to set the threadName to something other than the default: this.getClass().getSimpleName()
-
Constructor Details
-
Worker
public Worker()Creates a new worker with no precedenceConstraint. If you want to have a precedenceConstraint or a threadName that is not the default either overwrite this method, but still call super, or set those values when adding this to a worker pool.
-
-
Method Details
-
setPrecedenceConstraint
public void setPrecedenceConstraint(java.util.Set<java.lang.String> precedenceConstraint)Used to set the precedenceConstraint- Specified by:
setPrecedenceConstraint
in interfaceWorkerInterface
-
getPrecedenceConstraint
public java.util.Set<java.lang.String> getPrecedenceConstraint()Returns the current precedenceConstraint- Specified by:
getPrecedenceConstraint
in interfaceWorkerInterface
-
addPrecedenceConstraint
Adds a precedenceConstraint to the set of precedenceConstraint, creating a new set if necessary- Parameters:
precedenceConstraint
- a thread name you wish to add to the precedenceConstraint- Returns:
- this - for method chaining
-
getRetryAttempts
public int getRetryAttempts()- Specified by:
getRetryAttempts
in interfaceWorkerInterface
-
getRetryWaitSeconds
public int getRetryWaitSeconds()- Specified by:
getRetryWaitSeconds
in interfaceWorkerInterface
-
setRetry
public void setRetry(int retryAttempts, int retryWaitSeconds)- Specified by:
setRetry
in interfaceWorkerInterface
-
setThreadName
public void setThreadName(java.lang.String threadName)Used to set the threadName to something other than the default: this.getClass().getSimpleName()- Specified by:
setThreadName
in interfaceWorkerInterface
-
getThreadName
public java.lang.String getThreadName()Returns the current thread name.- Specified by:
getThreadName
in interfaceWorkerInterface
-
getThreadNameAppend
public java.lang.String getThreadNameAppend(java.lang.String append)Returns the thread name, with the provided string appended to the end- Parameters:
append
- the string to append to the end of the thread name- Returns:
- the thread name, with the provided string appended to the end
-
getThreadNamePrepend
public java.lang.String getThreadNamePrepend(java.lang.String prepend)Returns the thread name, with the provided string prepended to the end- Parameters:
prepend
- the string to prepend to the end of the thread name- Returns:
- the thread name, with the provided string prepended to the end
-
getStatus
Returns the current status of this worker- Specified by:
getStatus
in interfaceWorkerInterface
-
setStatus
Sets the current status of this worker. You should never need to call this manually, this is designed to be used by WorkerPool class.- Specified by:
setStatus
in interfaceWorkerInterface
-
run
public void run()This method is designed to call worker class, while managing both the classes status and error handling and basic logging / timing.- Specified by:
run
in interfaceWorkerInterface
-


Glossary
- Adaptive staircase
- An experimental method whereby the choice of stimulus parameters is not pre-determined but based on previous responses. For example, the difficulty of a task might be varied trial-to-trial based on the participant’s responses. These are often used to find psychophysical thresholds. Contrast this with the method of constants.
- CPU
- Central Processing Unit is the main processor of your computer. This has a lot to do, so we try to minimise the amount of processing that is needed, especially during a trial, when time is tight to get the stimulus presented on every screen refresh.
- CRT
- Cathode Ray Tube
‘Traditional’ computer monitor (rather than an LCD or plasma flat screen).
- csv
- Comma-Separated Value files Type of basic text file with ‘comma-separated values’. This type of file can be opened with most spreadsheet packages (e.g. MS Excel) for easy reading and manipulation.
- GPU
- Graphics Processing Unit is the processor on your graphics card. The GPUs of modern computers are incredibly powerful and it is by allowing the GPU to do a lot of the work of rendering that PsychoPy is able to achieve good timing precision despite being written in an interpreted language
- Method of constants
- An experimental method whereby the parameters controlling trials are predetermined at the beginning of the experiment, rather than determined on each trial. For example, a stimulus may be presented for 3 pre-determined time periods (100, 200, 300ms) on different trials, and then repeated a number of times. The order of presentation of the different conditions can be randomised or sequential (in a fixed order). Contrast this method with the adaptive staircase.
- VBI
- (Vertical Blank Interval, aka the Vertical Retrace, or Vertical Blank, VBL).
The period in-between video frames and can be used for synchronising purposes. On a CRT display the screen is black during the VBI and the display beam is returned to the top of the display.
- VBI blocking
- The setting whereby all functions are synced to the VBI. After a call to
psychopy.visual.Window.flip()
nothing else occurs until the VBI has occurred. This is optimal and allows very precise timing, because as soon as the flip has occurred a very precise time interval is known to have occurred.
- VBI syncing
- (aka vsync)
The setting whereby the video drawing commands are synced to the VBI. When psychopy.visual.Window.flip() is called, the current back buffer (where drawing commands are being executed) will be held and drawn on the next VBI. This does not necessarily entail VBI blocking (because the system may return and continue executing commands) but does guarantee a fixed interval between frames being drawn.
- xlsx
- Excel OpenXML file format. A spreadsheet data format developed by Microsoft but with an open (published) format. This is the native file format for Excel (2007 or later) and can be opened by most modern spreadsheet applications including OpenOffice (3.0+), google docs, Apple iWork 08.


| Interface | Description |
|---|---|
| AttributeRenderer<T> |
This interface describes an object that knows how to format or otherwise
render an object appropriately.
|
| ModelAdaptor<T> |
An object that knows how to convert property references to appropriate
actions on a model object.
|
| STErrorListener |
How to handle messages.
|
| STWriter |
Generic StringTemplate output writer filter.
|
| Class | Description |
|---|---|
| AutoIndentWriter |
Essentially a char filter that knows how to auto-indent output by maintaining
a stack of indent levels.
|
| DateRenderer |
A renderer for
Date and Calendar objects. |
| InstanceScope | |
| Interpreter |
This class knows how to execute template bytecodes relative to a particular
STGroup . |
| Interpreter.ArgumentsMap | |
| Interpreter.ObjectList | |
| NoIndentWriter |
Just pass through the text.
|
| NumberRenderer |
Works with
Byte , Short , Integer , Long , and BigInteger as well as
Float , Double , and BigDecimal . |
| ST |
An instance of the StringTemplate.
|
| ST.AttributeList |
Just an alias for
ArrayList , but this way I can track whether a
list is something ST created or it's an incoming list. |
| ST.DebugState |
Events during template hierarchy construction (not evaluation)
|
| STGroup |
A directory or directory tree of
.st template files and/or group files. |
| STGroupDir |
A directory or directory tree full of templates and/or group files.
|
| STGroupFile |
The internal representation of a single group file (which must end in
".stg").
|
| STGroupString |
A group derived from a string not a file or directory.
|
| STRawGroupDir |
A directory of templates without headers like ST v3 had.
|
| StringRenderer |
This render knows to perform a few format operations on
String objects:
upper : Convert to upper case.
lower : Convert to lower case.
cap : Convert first character to upper case.
url-encode :
xml-encode :
|
| Enum | Description |
|---|---|
| Interpreter.Option | |
| ST.RegionType |
<@r()> , <@r>...<@end> , and @t.r() ::= "..." defined manually by coder |
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