This document describes adding subcommands to
the twistd
command, as a way to facilitate the deployment
of your applications. (This feature was added in Twisted 2.5)
The target audience of this document are those that have developed a Twisted application which needs a command line-based deployment mechanism.
There are a few prerequisites to understanding this document:
- A basic understanding of the Twisted Plugin System (i.e.,
the
twisted.plugin
module) is necessary, however, step-by-step instructions will be given. Reading The Twisted Plugin System is recommended, in particular theExtending an Existing Program
section. - The Application infrastructure
is used in
twistd
plugins; in particular, you should know how to expose your program's functionality as a Service. - In order to parse command line arguments, the
twistd
plugin mechanism relies ontwisted.python.usage
, which is documented in Using usage.Options.
Goals
After reading this document, the reader should be able to expose
their Service-using application as a subcommand
of twistd
, taking into consideration whatever was passed
on the command line.
Alternatives to twistd plugins
The major alternative to the twistd plugin mechanism is the .tac
file, which is a simple script to be used with the
twistd -y/--python
parameter. The twistd plugin mechanism
exists to offer a more extensible command-line-driven interface to
your application. For more information on .tac
files, see
the document Using the Twisted Application
Framework.
Creating the plugin
The following directory structure is assumed of your project:
- MyProject - Top level directory
- myproject - Python package
- __init__.py
- myproject - Python package
During development of your project, Twisted plugins can be loaded
from a special directory in your project, assuming your top level
directory ends up in sys.path. Create a directory
named twisted
containing a directory
named plugins
, and add a file
named myproject_plugin.py
to it. This file will contain your
plugin. Note that you should not add any __init__.py files
to this directory structure, and the plugin file should not
be named myproject.py
(because that would conflict with
your project's module name).
In this file, define an object which provides the interfaces
twisted.plugin.IPlugin
and twisted.application.service.IServiceMaker
.
The tapname
attribute of your IServiceMaker provider
will be used as the subcommand name in a command
like twistd [subcommand] [args...]
, and
the options
attribute (which should be
a usage.Options
subclass) will be used to parse the given args.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32
from zope.interface import implements from twisted.python import usage from twisted.plugin import IPlugin from twisted.application.service import IServiceMaker from twisted.application import internet from myproject import MyFactory class Options(usage.Options): optParameters = [["port", "p", 1235, "The port number to listen on."]] class MyServiceMaker(object): implements(IServiceMaker, IPlugin) tapname = "myproject" description = "Run this! It'll make your dog happy." options = Options def makeService(self, options): """ Construct a TCPServer from a factory defined in myproject. """ return internet.TCPServer(int(options["port"]), MyFactory()) # Now construct an object which *provides* the relevant interfaces # The name of this variable is irrelevant, as long as there is *some* # name bound to a provider of IPlugin and IServiceMaker. serviceMaker = MyServiceMaker()
Now running twistd --help
should
print myproject
in the list of available subcommands,
followed by the description that we specified in the
plugin. twistd -n myproject
would,
assuming we defined a MyFactory
factory
inside myproject
, start a listening server on port 1235
with that factory.
Using cred with your TAP
Twisted ships with a robust authentication framework to use with your application. If your server needs authentication functionality, and you haven't read about twisted.cred yet, read up on it first.
If you are building a twistd plugin and you want to support a wide
variety of authentication patterns, Twisted provides an easy-to-use
mixin for your Options subclass:
strcred.AuthOptionMixin
.
The following code is an example of using this mixin:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48
from twisted.cred import credentials, portal, strcred from twisted.python import usage from twisted.plugin import IPlugin from twisted.application.service import IServiceMaker from myserver import myservice class ServerOptions(usage.Options, strcred.AuthOptionMixin): # This part is optional; it tells AuthOptionMixin what # kinds of credential interfaces the user can give us. supportedInterfaces = (credentials.IUsernamePassword,) optParameters = [ ["port", "p", 1234, "Server port number"], ["host", "h", "localhost", "Server hostname"]] class MyServerServiceMaker(object): implements(IServiceMaker, IPlugin) tapname = "myserver" description = "This server does nothing productive." options = ServerOptions def makeService(self, options): """Construct a service object.""" # The realm is a custom object that your server defines. realm = myservice.MyServerRealm(options["host"]) # The portal is something Cred can provide, as long as # you have a list of checkers that you'll support. This # list is provided my AuthOptionMixin. portal = portal.Portal(realm, options["credCheckers"]) # OR, if you know you might get multiple interfaces, and # only want to give your application one of them, you # also have that option with AuthOptionMixin: interface = credentials.IUsernamePassword portal = portal.Portal(realm, options["credInterfaces"][interface]) # The protocol factory is, like the realm, something you implement. factory = myservice.ServerFactory(realm, portal) # Finally, return a service that will listen for connections. return internet.TCPServer(int(options["port"]), factory) # As in our example above, we have to construct an object that # provides the IPlugin and IServiceMaker interfaces. serviceMaker = MyServerServiceMaker()
Now that you have your TAP configured to support any authentication we can throw at it, you're ready to use it. Here is an example of starting your server using the /etc/passwd file for authentication. (Clearly, this won't work on servers with shadow passwords.)
$ twistd myserver --auth passwd:/etc/passwd
For a full list of cred plugins supported, see twisted.plugins
, or use the command-line help:
$ twistd myserver --help-auth $ twistd myserver --help-auth-type passwd
Conclusion
You should now be able to
- Create a twistd plugin
- Incorporate authentication into your plugin
- Use it from your development environment
- Install it correctly and use it in deployment


For the first time, BITOTSAV '15 is proud to host the BITMUN 2015. With participants from colleges all across India, BITMUN 2015 hopes to set standards for MUNs all across India.
The committees to be featured in this debut MUN include the SOCHUM and the ECOFIN.
The event will take place across three days as part of BITOTSAV '15, from the 20th of March, 2015 to the 22nd of March, 2015.
Further information regarding the agenda and the guidelines can be found below in the Downloads section.
Also, please download this overall country matrix to make a more informed decision during registration.
Prizes worth 25,000 are up for grabs at the BITMUN '15.
There will be prizes available to the top three participants from each committee and certificates for all participants.
The prize distribution per committee is as follows:
First Position: 7,500
Second Position: 3,500
Third Position: 1,500
You can download the general rules and guidelines for the MUN here.
Download fileFeel free to contact us for any queries regarding BITMUN
Email<EMAIL_ADDRESS>Kanishka Ganguly +918051119404
Vishesh Dokania +918521446569


HOG[SCAN] uses "role based permissions" to restrict network access based on a members role within the HOG chapter. This allows you, the webmaster, to control what roles each officer, primary and discretionary, has to the different levels of the system. For example, not every primary officer wants, or needs, the Primary Officer role.
Remember, you have a sandbox (dev) environment to work/test in. Make changes and try things in that environment first. It is easier to undo errors there than it is in your production environment. Login credentials are the same for both environments
It is helpful to create a dummy user. You can assign different roles to this user, then login to see what that role can/cannot do.
Roles on this page are listed by permissions, highest to lowest.
Please note that the Webmaster, Primary Officer and Membership Officer roles have access to member information. Assign these roles with caution.
shared, primary_officers, activities, road_captains
and membership
directories
shared, primary_officers, activities, road_captains
and membership
directories
shared
and membership
directories
shared
directory
shared
and activities
directories
shared
directory
road_captains
and shared
directories
Remember that there are two environments that you, the webmaster, and any Chapter Officer that has an assignable role can work in. Production - the website that all members see Sandbox - where you can try things out to see how they work without having an impact on what members see. It is easier to correct errors in this environment than in Production.
The Sandbox environment starts with dev. (E.g. our sandbox environment is dev.raleighhog.com) Login credentials are the same for both environments
You can see that the Sandbox is a mirror of Production but also note that changes made to the Production environment may take a few days, or more, to show in the Sandbox. They are not synced daily. (Syncing is done from Production to Sandbox. Not vice versa.) If you make an error in the Sandbox that you cannot correct, contact the Administrator (Russ) to get it back in sync with Production if you cannot wait a few days until they sync up again.
Use the read/write access to directories to your advantage. Do not just dump files or images into a directory. Rather, create subdirectories as needed.
For example, in the activities
directory you can create one subdirectory to place images for destination rides and another subdirectory for images for dealer events. It's clear to you, and to others, what the different directories are for.
In addition to the aforementioned directories, each assignable role also has read/write permission to a users
directory. This directory is unique to each person, even those that share the same role cannot see anothers users
directory.
Only files with the following extensions are allowed, gif png jpg jpeg pdf doc txt gpx csv
Click the link for a tutorial, with step-by-step instructions, to help you Create / Add Subdirectories.
There are three different pages that show the Primary Officers, Chapter Officers and Road Captains. The four Primary Officers display on the Home page. Chapter Officers and Road Captains each have pages in the About Us menu. A member may have a dual role. That is, in addition to being a Primary Officer or a Chapter Officer they may be a Primary Officer AND a Road Captain or a Chapter Officer AND a Road Captain. When you 'Create Team Member' for someone that has dual roles be sure and keep the roles separate. That means you will add that team member twice. Once where you'll check the box if they are a Primary Officer or Chapter Officer and the second time where you check the box for the Road Captain role. This will help when ordering the Chapter Officers and Road Captains pages. For instance, when viewing the Chapter Officers I assign a weight to each of the officers to order how each one is displayed. In a similar way on the Road Captains page, I want the Safety Officer and Head Road Captain to display first so they are assigned higher weights. I then assign a weight to each of the remaining Road Captains so they are listed alphabetically.
Click the link for a tutorial, with step-by-step instructions, to help you Add a Team Member.
Know that when creating a basic page, by default, non-authenticated users can view the page.
If the page you are creating should only been seen by authenticated users, a best-practice is to give the page a Title, provide a menu link and then Save the page. You can then go to the page and click the 'Access control' tab to configure the access control settings for the page. Submit the settings to save them prior to editing the page and filling in the content.
Click the link for a tutorial, with step-by-step instructions, to help you Create a Basic Page.
While we want as many people as possible to attend and enjoy our rides/events there is a difference between an "open" event and a "closed" event. Be sure you understand the difference and mark events appropriately. Full information can be found in the HOG Chapter Handbook. You can also check with your HOG Regional Manager for clarification. The big difference between the two is liability. For your HOG Chapter the majority of rides/events are "closed". This means that 51% of the participants need to be local chapter members. If this is not true, the ride/event can still take place but it is no longer considered a chapter event. In order for a ride/event to be considered an "open" event (e.g. Open Chapter Ride/Open Event) additional insurance is needed. The chapter needs to apply for this weeks in advance of the ride/event and it needs to be approved.
Click the link for a tutorial, with step-by-step instructions, to help you Update the Event Calendar.
By default, the Galleries display in reverse chronological order. This means the newest galleries added are displayed first. If you give dates to your galleries you may potentially have galleries that do not display in the correct timeline if they are not loaded in order. For instance, if you add a gallery called April 2022 and then add a gallery called Dec 2021 this older gallery will display first You can manually order galleries by setting the 'Authored on' date in the 'Authoring information' section to the date the pictures were taken. (When editing, the field has a sample of the format to use.) Note: Only the Webmaster role can see/edit this field.
Files with the following extensions are allowed, png gif jpg jpeg
Click the link for a tutorial, with step-by-step instructions, to help you Upload Images to the Galleries Page.
HOG[SCAN] allows you to configure your website for either a light or dark theme. Normally you will configure/choose your theme when first setting up your site however, you may want to change it after the fact.
By default, when first delivered the website has a light theme; meaning it has a white background with orange lettering. You can keep the light theme and change only the color of the lettering or you can choose a dark theme for your site. The following steps will walk you through making the change.
Not a fan of the Permanent Marker font used on the Home page and in the Footer? Would you like to change it to a sans-serif font? Then follow the steps below.
A word of caution. Make no changes to anything except what is described below.
It is best if you first try this in your Sandbox environment.
Here is an example of the default Permanent Marker font and below it the same text using the Open Sans font.
Rides & Events
Photo Gallery
Chapter Newsletter
Become a Member
Rides & Events
Photo Gallery
Chapter Newsletter
Become a Member
Regular Meetings
Our Mailing Address
Our Sponsor
Follow Us
Regular Meetings
Our Mailing Address
Our Sponsor
Follow Us


Create rich and fully interactive timeline visualizations. Timelines can be included in Shiny apps and R markdown documents, or viewed from the R console and RStudio Viewer. 'timevis' includes an extensive API to manipulate a timeline after creation, and supports getting data out of the visualization into R. Based on the 'vis.js' Timeline module and the 'htmlwidgets' R package.
| Version: | 0.4 |
| Depends: | R (≥ 3.1.0) |
| Imports: | htmltools (≥ 0.2.6), htmlwidgets (≥ 0.6), jsonlite, magrittr, methods, rmarkdown, shiny |
| Suggests: | knitr (≥ 1.7), testthat (≥ 0.9.1) |
| Published: | 2016-09-17 |
| Author: | Dean Attali [aut, cre] (R interface), Almende B.V. [aut, cph] (vis.js library, http://visjs.org, http://www.almende.com/home) |
| Maintainer: | Dean Attali <daattali at gmail.com> |
| BugReports: | https://github.com/daattali/timevis/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/daattali/timevis, http://daattali.com/shiny/timevis-demo/ |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | timevis results |
| Reference manual: | timevis.pdf |
| Vignettes: |
Package timevis |
| Package source: | timevis_0.4.tar.gz |
| Windows binaries: | r-devel: timevis_0.4.zip, r-release: timevis_0.4.zip, r-oldrel: timevis_0.4.zip |
| OS X binaries: | r-release: timevis_0.4.tgz, r-oldrel: timevis_0.4.tgz |
| Old sources: | timevis archive |
Please use the canonical form https://CRAN.R-project.org/package=timevis to link to this page.


[Video] AMC’s Brand New Spinoff Series Officially Titled “The Walking Dead: World Beyond”
by John SquiresThe end of the world was their beginning.
AMC is expanding the world of “The Walking Dead” with a second spinoff series next year, which is said to feature two young female protagonists and focus on the first generation to come-of-age in the apocalypse as we know it. Last night, the official title was revealed: “The Walking Dead: World Beyond.” You can also check out a brand new teaser video below.
The 10-episode first season of the series will premiere in Spring 2020.
“Some will become heroes. Some will become villains. In the end, all of them will be changed forever. Grown-up and cemented in their identities, good & bad.”
Jordan Vogt-Roberts directed the pilot episode. Alexa Mansour, Nicolas Cantu, Hal Cumpston, Julia Ormond, Aliyah Royale and Annet Mahendru will lead the cast.


Sso_Ldap_Connection
Handles connecting to the LDAP server and storage and retrieval of data.
Located in /Ldap/Connection.php (line 13)
__construct
Connect to the LDAP server $url specified in the format ldap://hostname and provide a base DN.
addEntry
Save an $entry at the location specified by $dn. $entry should be an associative array of attributes and values. To create multiple attributes of the same name provide an array of values for that attribute.
connect
Connect to the LDAP data store.
delEntryAttribute
Removes the $attribute contained in the entry located at $dn. Optionally providing a $value to remove a specific attribute when there are multiple attributes of that type.
getAvailableEntryAttributes
Get the available attributes for the given entry $dn as an array.
getConn
Return the LDAP connection resource
getEntryAttribute
Get the value of $attribute of the entry $dn.
getEntryAttributes
Return the attributes for a given $dn as an array.
getEntryChildren
Return the children of the specified entry as an Sso_Ldap_EntryIterator.
hasEntryAttribute
Returns true/false if the specified $dn contains the given $attribute.
search
Search the repository from the specified $base using the provided filter returning the results as an Sso_Ldap_EntryIterator.
setBind
Set the LDAP bind details; the bind $dn and password $pw.
setChildCacheTimeout
Set the cache timeout of child nodes in seconds. Child nodes are the result of the getEntryChildren call.
setEntryAttrbiute
Set the $value of an $attribute contained in the entry located at $dn.
setLdapOption
Sets an option on the LDAP connection.
setSearchCacheTimeout
Set the cache timeout of calls to search in seconds.
Documentation generated on Fri, 24 Jul 2009 17:12:43 +0100 by phpDocumentor 1.4.2


Image map
Click on one of the Gods in the picture below to be taken to a subpage about that God or Goddess (or their stead) specifically.


|
Jack "Legs" DiamondLegs was almost impossible to kill. Over the course of his career, which spanned from 1919 to 1931, Legs Diamond was shot over and over again, never dying, always bouncing back. In 1930, Dutch Schultz, Legs' primary rival, was heard to ask "Ain't there nobody what can shoot this guy so he don't bounce back?!" Even Lucky Luciano had it easy when compared to the number of assassination attempts Legs escaped.He was always getting caught in a stream of bullets that were intended for the guy he was being paid to guard. Thus, as a bodyguard, Legs was also a dismal failure. He did a brief stint as a bodyguard for Arnold Rothstein in 1928; he spent no more than a month on the job. Yet he still managed to get his boss shot, and to catch a couple rounds himself in the process. Accidental HeroLegs never really intended to become a beer baron. He just lucked into it. His main talent as a leader was his not-dying: because no one could bump him off, Legs couldn't lose control of his outfits. It's said that Rothstein paid for much of his empire's upkeep; and when Rothstein was killed, Legs' team of talented goons mostly defected to Dutch Schultz's side. In 1923, Jacob "Little Augie" Orgen was having trouble with a bootlegger named Nathan 'Kid Dropper" Kaplan. Kid Dropper was hard to find, and Orgen decided to call in outside help from a local gang of kids called the Hudson Dusters. Legs had joined the Dusters just before World War I broke out, but he'd been thrown in jail in 1918 when he refused to ship out for Europe after being drafted. When he got out in 1919, he became the Dusters' most prolific criminal. So when Little Augie came to the Dusters in 1923, he immediately put Legs on the job. While Legs was definitely a criminal, he was not much of a killer. He hired a dim-witted associate to off Kaplan, and after a considerable number of failed attempts, Kid Dropper was dropped like a bag of potatoes. Augie gave Diamond a shitload of bootlegging territory after this success. Thus began Legs' love affair with gaudy clothes, fast women, and hot-footed dancing.  Shot OneAs the heady days of the early 20's began to give way to the bloody days of the early 30's, Legs became Augie's personal bodyguard. Unfortunately, when Louis Buchalter showed up on Augie's doorstep asking for rights to run the garment district, Legs was unable to save his boss. When Augie refused, he was gunned down while trying to get into a cab. Of course, his wunder-kine bodyguard was right beside him, and caught his two bullets as a prize for failing to protect his boss. With Augie dead, Legs made peace with Buchalter and remained the controller of much of downtown Manhattan's bootlegging. But by 1927, Dutch Schultz felt that he could easily take over this turf. Having disposed of Vincent Coll, the Harlem beer baron felt that he was ready to expand, and Legs had the most delicious looking turf in the city. Legs held off the inevitable, until late 1928 when his empire began to crumble. Between Schultz's constant attacks and the ever growing Castellamarese wars between Salvatore Maranzano and Joe Masseria, New York was beginning to run out of shaved gorillas to do the dirty work. Both Schultz and Diamond were running out of men and money as a result of the burgeoning prohibition combat. Dutch lost a lot of men just trying to kill Legs and his brother Eddie. Legs was always well hidden, and his brother Eddie stayed in Denver, sick with Tuberculosis. When Schultz's men found Eddie in the mile-high city, they pumped over 100 rounds into his car.  Shot TwiceBy 1929, Legs was cheating on Alice. Schultz's men tripped across Legs in a suite at the Monticello hotel having diner with his favorite lover, Kiki Roberts. They opened fire on the pair. Roberts got away intact, but Legs caught five bullets and spent a few weeks in the hospital, his wife sitting loyally at his side, playing the part of the cunthold. Three Times a HadesIn 1931, Legs moved his operations north to Acra, New York, but again Schutlz's men found him. This time, they tried a drive-by.  But he was only hit by three bullets. His neighbors weren't so lucky, and two other patrons of the hotel died of Tommy Gun wounds. Four on the FloorLater that same year, Legs went out drinking with his wife and some friends. At around ten, he excused himself and headed over to Kiki Roberts' house.  He then took a cab to a hideout in downtown Manhattan. When he'd passed out on the bed inside, two gunmen walked into his room. They picked him up, stood him against the wall and pumped three shots into his brain. On the way out, one of the gunmen wanted to go back and finish the job stating that "This guy ain't human!" But it wasn't needed. Legs was finally dead.  The newspapers dubbed him "The Clay Pigeon of the Underworld." His killers were never found. |


"JEHOVAH-JIREH" Jehovah will see; i.e., will provide, the name given by Abraham to the scene of his offering up the ram which was caught in the thicket on Mount Moriah. The expression used in Genesis 22:14, “in the mount of the Lord it shall be seen,” has been regarded as equivalent to the saying, “Man’s extremity is God’s opportunity.”
"JEHOVAH-JIREH" Jehovah will see; i.e., will provide, the name given by Abraham to the scene of his offering up the ram which was caught in the thicket on Mount Moriah. The expression used in Genesis 22:14, “in the mount of the Lord it shall be seen,” has been regarded as equivalent to the saying, “Man’s extremity is God’s opportunity.”


My name is Dexter C. Matso and I am 21 years old. I live at Pico La Trinidad, Benguet together with my parents and 2 siblings. I am a 2nd year student at King's College of the Philippines with a course of Bachelor of Science and Information Technology. I chose the course IT because I am interested in doing animations and game developing.


You must register a user account with Companies House to explore and perform tests with the Companies House API.
To get started quickly, each Companies House API reference page contains an embedded explorer to try out the service without having to write any client code.
Companies House digitally records almost all the information it receives and makes this available to the public through its website and through the Companies House RESTful API.
Being RESTful, each record of information is assigned a globally unique URI, and the
operations available on each resource are directly mapped to HTTP verbs. Data can be easily
consumed by issuing simple GET
requests on the required resource URI.
Read the Companies House REST API overview for more information about our API approach, REST web services and the JSON data format.
Access to API services requires authentication. The Companies House API requires API authentication credentials to be sent with each request, which is sent as an API key, stream key or OAuth access token.
Learn how to create an application as well as API keys, stream keys and OAuth web clients.
Read the developer guidelines for information about security, API rate limits and enumerated types as you’re developing your application.


A choropleth map of 2009 U.S. unemployment rates by county. A quantize scale is used to divide the color range into 9 discrete, uniformly-spaced bins.
A Dorling cartogram is a thematic map that uses sized circles to represent a quantity of interest per geographic region. This example visualizes the ratio of obese adults (BMI >= 30) by U.S. state in 2008. A double encoding uses both circle area and fill color to convey the obesity rate. Vega’s force transform and geoCentroid expression function are used to compute the layout.
A configurable map of world countries. Explore the results of applying different map projections and parameter settings. This example loads TopoJSON data and applies the Vega geoshape and graticule transforms.
A globe visualization of earthquakes reported by the USGS for the week of February 6, 2018. The earthquakes are formatted as GeoJSON data, and the geoshape transform’s pointRadius parameter is used to visualize earthquake magnitude as a circular area. This example is based on Jeremy Ashkenas’ USGS World Earthquake Map.
A gallery of world maps using various cartographic projections. Each map clips the projected land masses and graticule to the sphere of the Earth to ensure no extraneous shapes are shown. This example uses projections from the d3-geo-projection library that are not included in the standard Vega release.
A world map that pans and zooms in response to mouse drag and scroll wheel input. This example applies an inverse map projection (using Vega’s invert expression function) to map changes in pixel space to updated projection parameters.
This example visualizes the difference in projected area of countries using two different map projections. Each country is abstracted to a circle, sized by the area of that country under a particular map projection. Country circles are positioned based on the centroid position of the country under a primary projection. A second set of circles are then overlaid, with projected areas based on a secondary projection. This example demonstrates Vega’s geoArea and geoCentroid expression language functions.
A colored contour plot of the Maungawhau volcano in New Zealand. This example demonstrates contour generation directly from a provided grid of data values, rather than performing kernel density estimation on a discrete point set.


WITNESS LIST Appropriations Committee March 2, 2005-8:00A Budget On: Bass, James (Texas Department of Transportation) Behrens, P.E., Michael W. (Texas Department of Transportation) Bugen, Claire (Texas School for the Deaf) Featherston, Pattie (Teacher Retirement System) Hatlen, Phil (Texas School for the Blind and Visually Impaired) Houghton, Ted (Texas Transportation Commission) Jung, Ronnie (Teacher Retirement System) Nichols, Robert L. (Texas Transportation Commission) Saenz Jr., P.E., Amadeo (Texas Department of Transportation) Smith, Herman (State Board for Educator Certification) Williamson, Ric (Texas Transportation Commission)


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{% extends "base.html" %} {% block title %}Your challenges{% endblock %} {% block content %} {% with messages = get_flashed_messages(with_categories=true) %} {% if messages %}
{% endif %} {% endwith %}RAMP challenges begin with an interesting supervised prediction problem for which there is data. Domain experts teaching clean and curate the data and formalize the problem, working with experienced data scientists if required. This process can take two weeks to six months, and results in a 'starting kit', which typically consists of:
A challenge event can now be organised. These events may be part of a post-graduate level programme or a 'hackathon'. If the data science problem requires the mastering of a specific tool, the RAMP event can be preceded by a Training Sprint for explaining specific tools to the participants.
RAMP data challenges has been used for teaching in many courses at various levels. Students usually love the platform for:
At the end of your challenge we will give you a csv file with all the performance metrics of each student.
We may be able to work with you in developing your RAMP challenge or helping to organise events such as hackathons or use the problem in a classroom setting. We can also automatically benchmark the thousands of models that are already in the platform.


Dataset(values)
Create a dataset out of the provided values
. A dataset is a List
whose items
are variables of the same length. Unlike lists, datasets are required to have names
for all their "columns", and those names are unique.
values
is one more more arguments of the following types:
- An object, a
List
, orMatrix
; in this case it will be 'unpacked' to create the columns of the dataset. - A
Variable
orVector
.
Properties:
nrow
: The number of rows in the dataset (the length of each variable)ncol
: The number of columns in the dataset (the number of variables)
Dataset.read(vals, options)
Read a dataset from a string vals
which is the contents of a delimited file.
Quote-escaping rules are similar to Variable#read
.
options
is an object that can include:
sep
: A character or string specifying the separator. If not provided, an attempt to infer the separator will be made. Typical separators include','
,';'
,'\t'
, and' '
. In this last case, any sequence of whitespace, including tabs, will be treated as a single separator.header
: A boolean value specifying whether headers are included. Defaults tofalse
.
Dataset.split(select)
Split a Dataset
into a List
of sub-datasets, based on the specified
subsets of the rows. select
can be:
- A
List
whose elements are one-dimensional collections of row indices - A factor
Variable
of lengthnrow
. Rows with the same corresponding factor value will be grouped together. - A function
f(row, i)
. Rows with the same function value will be grouped together.
If an empty group of rows is created by select
, it will generate an empty Dataset
.
Dataset.write(options)
Write the dataset to a string.
options
is an object that can include:
sep
: A character or string to use as separator. Defaults to','
.header
: A boolean value specifying whether to include headers. Defaults totrue
.quote
: A boolean value specifying whether to quote string values/names. Defaults tofalse
.qescape
: A boolean value specifying whether to escape embedded quotes via a backslash. Defaults tofalse
, meaning escape via an extra double-quote.
Dataset#appendCols(names, values)
Append to the columns of the dataset. If called with two arguments, then the first argument is the names for the new columns. If called with only one argument, names will be generated automatically.
The values
argument needs to be one of the following:
- A 2-dimensional object (
Matrix
orDataset
). - A 1-dimensional object (
Array
,Vector
orVariable
). - A
List
of columns to be appended. Corresponding names will be copied over. In this case, the provided list will be fed into the dataset constructor in order to deduce the new variables to be appended. - A function
f(i)
for computing the values in the new column.
Dataset#appendRows(rows, values)
Append to the rows of the dataset.
When called with one argument, the argument needs to be 2-dimensional
(Matrix
or dataset) or 1-dimensional (Array
, Variable
or Vector
) and then
the number rows to be appended will be inferred.
When called with two arguments, rows
is the number of rows to append, and values
is a single value or a function f(i, j, colName)
to be used for filling the rows.
In the case of a function, the index i
is relative to the new rows to be added
(so i
is 1 for the first row to be added, 2 for the second row to be added, etc.).
// dSet assumed to be a 2x3 dataset
dSet.appendRows([1, 2, 3]) // Add a single row at row index 3
dSet.appendRows(dSet) // Add duplicates of the 3 rows
dSet.appendRows(2, function(i, j) { return i + j }); // Adds rows [2,3,4], [3,4,5]
Dataset#clone()
Clone the dataset.
Dataset#deleteCols(cols)
Delete the specified columns from the dataset. cols
may be:
- A single number or string name.
- A 1-dimensional object of single numbers or string names.
Dataset#deleteRows(rows)
Delete the specified rows from the dataset. rows
may be:
- A single number.
- A 1-dimensional object.
- A predicate function
f(row, i)
.
Dataset#get(rows, cols)
Return a subset of the values in the dataset. This method may be called with
no arguments, in which case an array of arrays of the columns is returned.
Otherwise, the method requires two arguments, rows
and cols
, specifying
respectively the rows and columns to be used.
cols
can be:- A single number or string. In this case a single column is used.
- The boolean
true
, indicating that all columns should be used. - A one-dimensional object (
Array
,Variable
,Vector
) of numbers, strings or booleans. In the case where the values are booleans, the length of the object must matchncol
. - A predicate of the form
pred(colName, j)
, which returns true for those columns that are to be used.
rows
can be:- A single number. In this case a single row is used.
- The boolean
true
, indicating all rows should be used. - An
Array
,Variable
orVector
of numbers or booleans (similar tocols
) - A predicate that has form
pred(row, i)
, whererow
is a function as returned byDataset#rowFun
, giving access to thei
-th row. If given two single values, returns the corresponding single value at the i-th row/j-th column. Otherwise returns a dataset that contains copies of the appropriate entries.
Dataset#getVar(col)
Get a single column (variable). col
is a positive number or string name.
Dataset#names(i, newNames)
Get or set the names of the dataset's columns. See List#names
for
details. This method enforces uniqueness of names.
Dataset#rowFun(i)
Given a row index i
, return a function f(col)
which "simulates" row i
.
l.rowFun(2)('a') // Returns the second value in column 'a'.
l.rowFun(2)(2) // Returns the second value in the second column.
Dataset#set(rows, cols, vals)
Set the values at specified rows and columns, using the values specified by
vals
. See Dataset#get
for how to use rows
and cols
to specify the
positions to be set. All 3 arguments are required.
vals
is used to specify new values in one of the following ways:
- A single value (to be used in all specified positions)
- A
Variable
,Vector
orArray
(only valid when setting within a single row or column) - A
Dataset
orMatrix
(whose dims match those of the selected region) - A function
f(i, j, name)
wherei
is a row number,j
is a column number, andname
is a column name.
Dataset#setVar(col, val)
Replace the variable at column col
with the variable val
. The length
of val
must match nrow
.
Dataset#toArray()
Return an array of arrays representing the columns of the dataset.
Dataset#which(pred)
Given a predicate pred(row, i)
, return a Variable
of the row numbers of the
rows for which the predicate is true
.


This sample is designed to work with Google Chrome version 87 or newer, but it should work with any browser supporting the WebBluetooth standard. Currently this should work on Windows 10, Mac OS, and Android with limited support for Linux. This page must be hosted on a webserver using TLS or SSL as evidenced by an HTTPS prefix, but the security certificate can be self-signed (untrusted)
First, ensure your PetTutor feeder is turned on (best to power cycle it as I have had issues with its Bluetooth freezing). Next, click the "Pair Feeder(s)" button. A dialog should appear and eventually show all feeders (if you changed the feeder name in the official PetTutor app you will need to change it back to PTFeeder). Click "Pair". Feel free to add additional feeders following the same steps. When you are ready to feed, press "Start". In "Bark Reduction Mode" treats are witheld for exceeding the threshold. In "Bark Strengthening Mode" treats are witheld for silence. Please note that hardware limitations in the PetTutor require a 2 second delay between dispenses. The slider initializes itself to be higher than the background noise at the instant the "Start" button is clicked.
| HH | MM | SS | ||
| Start After: | ||||
| Session Time: | ||||
| Treat Interval: | ||||
| Max Treat Interval: | ||||
| Volume Threshold: | ||||
| Penalty Interval: | ||||
| Max Penalty Interval: | ||||


My first experience with methylone did not leave me very impressed. It wasnít exactly entheogenic, certainly less so than MDMA, but there was a slightly introspective quality to it. I also had some minor CEVs, but that was about it. I found methylone more relaxing in many ways than stimulating. It basically put me into a mild trance-like state with eyes shut. When I opened my eyes I didnít really notice much but a subtle body buzz. Unlike other reports I have read, I never experienced any particular 'rushes' this substance.
This is the second time I am taking methylone without mixing it with other substances. My other experiences involved mixing it with other psychedelicsÖonce at the tail end of an LSD trip and once with 2C-I. The experience with LSD was very pleasant and the one with 2C-I was not.
10:52 PM
I ingest exactly 166 mg of methylone hcl in a capsule on a mostly empty stomach.
11:12 PM
I defiantly have an alert.
11:18 PM
Very clear euphoria. It is not like the opiate euphoria, and it is not like MDMA euphoria.
11:22 PM
Taking a phone call.
11:43 PM
Wow, a lot more MDMA-like now, but not anywhere near as profound.
11:45 PM
For some reason, now it feels like a cross between an opiate and MDMA.
12:22 AM
For about 20 minutes it was very MDMA-like, now it seems like an energetic opiate. I have pseudo-empathetic effects (it feels good to talk to people on IRC and I can really get into the conversations) but nothing that I would particularly would call entheogenic.
12:23 AM
I sure did like this better when I took it after an acid peak. There are no bad effects at all to speak of, but not to many real interesting effects either.
12:27 AM
Heh, I like the nystygmus this methylone is producing.
12:38 AM
It keeps going back and forth between feeling opiate-like and MDMA-like, but without the psychedelic part of MDMA.
12:52 AM
I think more than anything it feels like MDMA but without the real MDMA mental effects. Mentally, I still feel like I am just high on a warm fuzzy (opiate), well sort of.
1:16 AM
My mind is racing now. It is amazing, but this time the methylone is much more stimulating than the last time. I anticipate that I will have problems sleeping.
1:44 AM
Iím not peaking anymore but havenít started to go down. Actually as I typed that it the methylone seemed to release itself a bit.
2:27 AM
Largely down, but I still feel some stimulation and 'softness' in the body. I believe some chamomile tea and marijuana is called for.
Summary
It's hard for me to consider methylone to be much more of anything than a novelty. I sure canít see it as an entheogen with any real value in psychotherapy or for self-exploration. It seems more suited as a social lubricant, or for entertainment, but thatís about it. I was most surprised at the lack (for me) of any real empathetic effects. At one point I took a phone call from someone close to me experiencing a personal crisis. To my surprise I found the phone call more of an annoyance than anything, and I was not very motivated to help them or give them any advice. This is most unusual for me because helping people to feel better is not only my career (I am a social science major) but I love and care for this individual and want nothing more than for them to feel good. I donít know, it seems methylone can recreate some MDMA-like effects but in general falls way short of being anything that is real interesting.
Perhaps I will try it again while camping in the mountians. Maybe in a more pristine setting, methylone can be a more magical substance (I took it alone at home). On the plus side, other than some residual stimulation and minor nausea there were absolutely no negative side effects.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


Collection
Full Name
Acronym
Collection Type
Status
Backup Server
Service Type Provided
Organization
Design Agency Organization
General
User Population
Primary Customer
Subcontractor Maintainer
Description
Controls/Impacts
Function class
Data Classification
Mission Essential Rating
Contacts
Name
Contact Type
Phone Number
Location
Vendor Products
Product Name
Version
Description
Classified Information
SubObjects
Name
Type
Version
Classified Information
Relationships
Relationship Type
Relationship With
Editors
User Name
Access Level
Phone Number
Location
Application Information
Subtype
User Interface
Application Size
Total Users
Total Concurrent Users
Priority
Server Information
Backp Server
Monitored
Responsible Group
Environment Information
Environment Subtype
Backup Server
Monitored
Responsible Group
Edit
Delete
Delete User
×


Last edited: December 7th, 2020.
Table of contents:
| Key | Content |
|---|---|
| 1. | Backups and intro to Data Recovery |
| 2. | Data Recovery |
| 3. | Biometrics |
| 3.1 | 3 Examples of Biometrics with Pros and Cons |
| 4. | References |
Backups and Data recovery intro
Backups are a very important process regarding data security. In the event we get breached or a disk gets corrupted, having a backup can considerably ease our lives.
Companies follow strategic rules to regularly backup their data, using or combining the three main types of backing up the information at scheduled times:
-
Full backup: complete backup of all the data. This yields a thorough protection since all the files in the disk will be saved but also demands - depending on the size of the backup - a considerable amount of time and data storage capacity.
-
Incremental backup: it consists in only backing up the data that has changed in the period of time comprised since the previous backup. Only new contents will be saved and takes much less time and storage space to perform compared to the full backup.
-
Differential backup: it is a combination of the two above. It consists in performing an initial full backup and then performing incremental backups during a period of time, i.e. taking a full backup on Monday at 2:00am and performing planned incremental backups during the week, once or twice a day until next Monday morning arrives.
There are also 3 main different options we have to store our backups:
-
On-site backup: it’s stored in the same building as the original data. It may be quicker to find and recover the data from it but risks being damaged if the whole area of the building is damaged.
-
Off-site backup: stored in a different place than the building the original data is located in, this is generally a much more secure way of storing backups since they will be safe from the harm that may affect the original data, i.e. fire or another natural disaster, despite the loss in speed of accessing them.
-
Cloud backup: similar to off-site backup but you can sync in real time your original data with the backup in the cloud. The con of having a cloud backup is a potential cyber attack, increasing the need for the choice of the platform to be assessed around security itself.
Data recovery (and DiskDigger features)
Say you didn’t have a backup of your data or you lost both the original data and the backup in an accident: you’d want to use a tool to recover your data.
There is a myriad of tools out there to help you perform this task, both paid and free. If you are in Windows 10, chances are you can use Windows File Recovery.
However, if this doesn’t suit you, you can always use alternatives like DiskDigger.
You should have a recovery tool prior to a data loss event, since by downloading it and installing it you could be overwriting the very information you want to access. The way data is recovered off the disks is by looking in the place it originally was, as it really didn’t go anywhere. When you delete something it’s just the entry saying to the computer where the data you are looking for is located in your hard drive, so after deleting it, it’s just overwritten by new data. This doesn’t happen the same way in SSDs since the cells that aren’t being used get systematically deleted to free up space.
DiskDigger has two modes of operation: “Dig Deep” and “Dig Deeper”. The former one recovers any type of files from a SD memory card or a hard drive with Windows and Linux partition formats. The latter one does what the former does but scans the whole disk looking for traces of specific file types, including images, documents, audio and video, compressed archives and miscellaneous like ISOs, AutoCad drawings or TrueType fonts. For a comprehensive list of all the files supported by this method you can click here.
Biometrics, advantages and disadvantages
What is Biometrics?
We are human and by our own amazing nature, there are no 2 equal individuals. Since we are all different to each others, we can use our own bodies to identify ourselves. For example, Police Agencies around the world have been using fingerprint identification to identify suspects since the 19th century. So Biometrics is the art of of analysing the unique physical or behavioural characteristics to differentiate from one another. We do this digitally by first reading the biometrics of our subject and then encoding them and storing them in a database which we will use afterward to cross reference in the future. In the present 2 different techniques exist: contact (fingerprints) and contactless (iris scan, retinal scan, facial recognition).
Biometrics are used in facilities to ensure certain areas of interest are only accessed by authorised personnel. A bad actor could spoof the identity of a worker of the facility and gain access to restricted data and backups of the original data by fooling the biometrics systems, so we need to understand the concept of biometrics.
Examples of Biometrics and their pros and cons
-
Fingerprints:
- Type:
- Contact
- Pros:
- Speed of recognition
- Not expensive
- Widely used
- Cons:
- Not very useful if the fingers are dirty or damaged
- The reader must be always clean
- Can be spoofed
- Type:
-
Retinal scan:
- Type:
- Contactless
- Pros:
- Can’t be spoofed
- Highly efficient
- Low computing memory required
- Cons:
- “Failure to Enroll” parameter ratio high
- Light exposure concern due to the mentioned point above
- User must look straight into the scanner
- Type:
-
Facial recognition:
- Type:
- Contactless
- Pros:
- Used by Law Enforcement Agencies
- Non-intrusive
- Can be taken from a long distance
- Cons:
- Can be spoofed
- False acceptance and false reject rates fluctuate
- Privacy concerns
- Type:
References
Mike Bedford, 15 Jun 2020. Tech Advisor - “How to Recover Deleted Files” [Online]
Available at: https://www.techadvisor.co.uk/how-to/software/recover-deleted-files-3365461/
Last visited on 07 Dec 2020.
Chris Hoffman, 3 Jul 2020. How-To Geek - “How to Use Microsoft’s “Windows File Recovery” on Windows 10” [Online]
Available at: https://www.howtogeek.com/680458/how-to-use-microsofts-windows-file-recovery-on-windows-10/
Last visited on 07 Dec 2020.
Anon., 2020. DiskDigger - “Features” [Online]
Available at: https://diskdigger.org/features
Last visited on 07 Dec 2020.
Anon., 2020. Medical Discoveries - “Retinography” [Online]
Available at: http://www.discoveriesinmedicine.com/Ra-Thy/Retinography.html
Last visited on 07 Dec 2020.
Anon., 2020. Tech Business Guide - “6 Disadvantages Of Facial Recognition You Need To Be Aware Of” [Online]
Available at: https://techbusinessguide.com/disadvantages-facial-recognition/#6_Disadvantages_of_Facial_Recognition
Last visited on 07 Dec 2020.


Performs meta-analysis and meta-regression using standard and robust methods with confidence intervals based on the profile likelihood. Robust methods are based on alternative distributions for the random effect, either the t-distribution (Lee and Thompson, 2008 <doi:10.1002/sim.2897> or Baker and Jackson, 2008 <doi:10.1007/s10729-007-9041-8>) or mixtures of normals (Beath, 2014 <doi:10.1002/jrsm.1114>).
| Version: | 0.7-11 |
| Depends: | R (≥ 3.2.0) |
| Imports: | bbmle, metafor, boot, methods, numDeriv, MASS, graphics, stats, fastGHQuad, lme4 |
| Suggests: | R.rsp |
| Published: | 2018-04-01 |
| Author: | Ken Beath [aut, cre], Ben Bolker [aut], R Development Core Team [aut] |
| Maintainer: | Ken Beath <ken.beath at mq.edu.au> |
| Contact: | Ken Beath<EMAIL_ADDRESS>|
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Citation: | metaplus citation info |
| Materials: | NEWS |
| In views: | MetaAnalysis, Robust |
| CRAN checks: | metaplus results |
| Reference manual: | metaplus.pdf |
| Vignettes: |
metaplus: An R Package for the Analysis of Robust Meta-Analysis and Meta-Regression |
| Package source: | metaplus_0.7-11.tar.gz |
| Windows binaries: | r-devel: metaplus_0.7-11.zip, r-release: metaplus_0.7-11.zip, r-oldrel: metaplus_0.7-11.zip |
| OS X binaries: | r-release: metaplus_0.7-11.tgz, r-oldrel: metaplus_0.7-11.tgz |
| Old sources: | metaplus archive |
Please use the canonical form https://CRAN.R-project.org/package=metaplus to link to this page.


Trevor:
Here you are. We must have a connection somehow. I was just wondering when you would return with the Muertos Feathers.
Well, show them to me.
Show him the Muertos Feathers.


Myself Adarsh , currently pursuing my btech in electrical engineering from indian institute of technology kanpur.
I have just completed my first year of college life. I went to JNV ROHTAS from standard 6 to 8 then i continued in CHS BHU till 10th .
I completed my 12th from Sunbeam school Varanasi.


The People's City Mission provides homeless people in Lincoln with services to ensure their health and safety. Public and private donations for the Mission's programs are a major way the Mission makes these services possible.


{% extends 'base.html' %} {% load staticfiles humanize %} {% block title %}Thermometer{% endblock %} {% block content %}
current percent out of all tweets about feelings
historical average level (since {{ normal_start|naturaltime }})
percent change from normal level over one hour
historical average level over all available data


- Winston Churchill, Former Prime Minister of The United Kingdom"I have worked very hard with Nehru. I told him he should be the light of Asia, to show all those millions how they can shine out, instead of accepting the darkness of Communism"
If you have time, you should read more about this incredible human being on his Wikipedia Entry
Written and Coded by Swapnil Bhattacharjee


1 write to LocalScope
System.Management.Automation (1)
engine\scriptparameterbinder.cs (1)
46
this.
LocalScope
= localScope;
2 references to LocalScope
System.Management.Automation (2)
engine\scriptparameterbinder.cs (2)
113
if (
LocalScope
!= null
115
&&
LocalScope
.TrySetLocalParameterValue(varPath.UnqualifiedPath, CopyMutableValues(value)))


--- title: Data Science in Education Using R author: '' date: '2020-07-05' slug: data-science-in-education-using-r categories: [] tags: [rstats, education, dsieur] authors: ["Estrellado, R. A., Bovee, E. A., Motsipak, J., Rosenberg, J. M., & Velásquez, I. C."] doi: '' publishDate: '2020-07-05T17:38:18-07:00' publication_types: - '0' publication: '' publication_short: '' abstract: '' summary: 'Data Science in Education Using R is the go-to reference for learning data science in the education field. The book answers questions like: What does a data scientist in education do? How do I get started learning R, the popular open source statistical programming language? And what does a data analysis project in education look like? If you’re just getting started with R in an education job, this is the book you’ll want with you. This book gets you started with R by teaching the building blocks of programming that you’ll use many times in your career. The book takes a "learn by doing" approach and offers eight analysis walkthroughs that show you a data analysis from start to finish, complete with code for you to practice with. The book finishes with how to get involved in the data science community and how to integrate data science in your education job. This book will be an essential resource for education professionals and researchers looking to increase their data analysis skills as part of their professional and academic development.' featured: no url_pdf: ~ url_code: ~ url_dataset: ~ url_poster: ~ url_project: ~ url_slides: ~ url_source: https://datascienceineducation.com url_video: ~ image: caption: '' focal_point: '' preview_only: no projects: [] slides: '' ---
Data Science in Education Using R is the go-to reference for learning data science in the education field. The book answers questions like: What does a data scientist in education do? How do I get started learning R, the popular open source statistical programming language? And what does a data analysis project in education look like?
If you’re just getting started with R in an education job, this is the book you’ll want with you. This book gets you started with R by teaching the building blocks of programming that you’ll use many times in your career. The book takes a “learn by doing” approach and offers eight analysis walkthroughs that show you a data analysis from start to finish, complete with code for you to practice with. The book finishes with how to get involved in the data science community and how to integrate data science in your education job.
This book will be an essential resource for education professionals and researchers looking to increase their data analysis skills as part of their professional and academic development.
The print version of Data Science in Education Using R will be released in October 2020 and is available for pre-order from Routledge.


{% extends "base.html" %} {% load staticfiles %} {% block page_class %}unsupported{% endblock %} {% block main %}
Sorry, this experience requires WebGL. Please try again using Google Chrome.
About the project and technology


--- layout: default ---
{{ site.author_bio }}
Teach programming for students
Internship, I'm working with ReactJS, NodeJS, Python Django
HTML, CSS, Javascript, PHP, Python, C/C++, Java
Adobe XD, Adobe Photoshop, Adobe Illustrator, Adobe Premiere, Git, Linux (Ubuntu), Nginx


Joose.Manual.Installation - The installation procedure for Joose.
You can install Joose from the following sources:
The latest released tarball is available for downloading from http://search.npmjs.org/#/joose. Alternative locations: http://nodul.es/modules/joose and http://npm.mape.me/ (search for package 'joose').
To use Joose include the following source file in your page/project (from the root of the tarball)
task-joose-core.js
or from another location:
lib/Task/Joose/Core.js
It contains all the individual source files concatenated into one.
npm
First, install npm
(please refer to : http://github.com/isaacs/npm/). Then, from command line:
> npm install joose
You may need to sudo
the command above.
After this you can use Joose as follows:
require('joose')
Class('My.Class', {
methods : {
...
}
})
// or
var Class = require('joose').Class
var MyClass = Class({
methods : {
...
}
})
Please note, that Joose aims to be client/server neutral, and behaves a bit differently than usual CommonJS module.
require('joose')
will modify the global scope - will add the Joose
, Class
, Role
and Module
symbols to it.
Class
, Role
and Module
are also being exported from require
.
If you are planning to use Joose and Joose extensions in the browsers, you way want to also complete the following steps:
$NPM_ROOT/.jsan
to your NODE_PATH enviroment variableHere the $NPM_ROOT
is the "root" setting of your npm
installation. You can retrieve it with the following command:
npm config get root 2>/dev/null
Typically its /usr/local/lib/node
. So, to do that, add this line to your ~/.bashrc
:
export NODE_PATH=/usr/local/lib/node/.jsan
Configure you local web server that way, that the url http://localhost/jsan
will point to the /usr/local/lib/node/.jsan
(the directory from previous step).
After theis setup, you can either require the browser-related code from NodeJS (it uses CamelCase for modules names as a convention):
require('Useful/Module')
// or, with JooseX.Namespace.Depended
use('Useful.Module', function () { ... })
Or you can load it in the browsers in the exactly the same way:
// JooseX.Namespace.Depended only
use('Useful.Module', function () { ... })
Nickolay Platonov<EMAIL_ADDRESS>Copyright (c) 2008-2011, Malte Ubl, Nickolay Platonov
All rights reserved.
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED.


--- layout: post title: Entity design in distributed architectures date: 2012-03-16 11:35:38.000000000 +01:00 categories: - SOA tags: [] status: publish type: post published: true meta: _edit_last: '1' dsq_thread_id: '613076206' author: login: andreas.ohlund email<EMAIL_ADDRESS>display_name: Andreas Öhlund first_name: Andreas last_name: "Öhlund" ---
In my talk about event design in service oriented architectures I dicussed how you should try to design your events so that they would only carry Id's across service boundaries. Instead you would use use commands, which always are internal to a service, to store what ever data you need for each particular service and use the event to synchronize status changes across services. In essence this means that the only thing that is shared between services is the ID. This obviously also relates to how you design you entities. I'm not going into details here because Ayende has posted two excellent post on this subject. So please head over to his blog and read them:
http://ayende.com/blog/153703/there-ainrsquo-t-no-such-thing-the-definitive-entity-definition
http://ayende.com/blog/153704/composite-entities
As you see avoiding logical coupling between both events and entities is one of the most important things to think about when designing distributed systems that you don't expect to rewrite from scratch every other year.
Finally this also shows why trying to design a "canonical data model" for your entire system is such a bad idea.


What is on your mind?
Hafeez
7 mins ago
-
What is the signifance of Norman's Principles in modern web development?
M.M.V
14 mins ago
-
When do we need to submit the HCI assignment?
Daitya
20 mins ago
-
What are the portions for the HCI CAT-1 exam? Do we have a quiz?
Revanth
25 mins ago
-
Why should I study HCI?
Big J
35 mins ago
-
What should I study for exam?
Rakshith
40 mins ago
-
What is the syllabus of the quiz ??
Belli
53 mins ago
-
Life is all about sleeping and watching cricket matches :P
Vade
58 mins ago
-
I love eating dosas. They should make it the staple food at VIT.


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BLKPARSE
Section: (1)Updated: March 6, 2007
Index Return to Main Contents
NAME
blkparse - produce formatted output of event streams of block devices
SYNOPSIS
blkparse [ options ]
DESCRIPTION
The blkparse utility will attempt to combine streams of events for various devices on various CPUs, and produce a formatted output of the event information. Specifically, it will take the (machine-readable) output of the blktrace utility and convert it to a nicely formatted and human-readable form.As with blktrace, some details concerning blkparse will help in understanding the command line options presented below.
- -
-
By default, blkparse expects to run in a post-processing mode; one where
the trace events have been saved by a previous run of blktrace, and blkparse
is combining event streams and dumping formatted data.
blkparse may be run in a live manner concurrently with blktrace by specifying -i - to blkparse, and combining it with the live option for blktrace. An example would be:
% blktrace -d /dev/sda -o - | blkparse -i - - -
-
You can set how many blkparse batches event reads via the -b option, the
default is to handle events in batches of 512.
- -
-
If you have saved event traces in blktrace with different output names (via
the -o option to blktrace), you must specify the same input name via the
-i option.
- -
-
The format of the output data can be controlled via the -f or -F
options -- see OUTPUT DESCRIPTION AND FORMATTING for details.
By default, blkparse sends formatted data to standard output. This may be changed via the -o option, or text output can be disabled via the -O option. A merged binary stream can be produced using the -d option.
OPTIONS
-A hex-mask--set-mask=hex-mask
- Set filter mask to hex-mask, see blktrace (8) for masks
-a mask
--act-mask=mask
- Add mask to current filter, see blktrace (8) for masks
-D dir
--input-directory=dir
- Prepend dir to input file names
-b batch
--batch={batch}
- Standard input read batching
-i file
--input=file
-
Specifies base name for input files -- default is device.blktrace.cpu.
As noted above, specifying -i - runs in live mode with blktrace (reading data from standard in).
-F typ,fmt
--format=typ,fmt
-f fmt
--format-spec=fmt
-
Sets output format
(See OUTPUT DESCRIPTION AND FORMATTING for details.)
The -f form specifies a format for all events
The -F form allows one to specify a format for a specific event type. The single-character typ field is one of the action specifiers described in ACTION IDENTIFIERS.
-M
--no-msgs
- When -d is specified, this will stop messages from being output to the file. (Can seriously reduce the size of the resultant file when using the CFQ I/O scheduler.)
-h
--hash-by-name
- Hash processes by name, not by PID
-o file
--output=file
- Output file
-O
--no-text-output
- Do not produce text output, used for binary (-d) only
-d file
--dump-binary=file
- Binary output file
-q
--quiet
- Quiet mode
-s
--per-program-stats
- Displays data sorted by program
-t
--track-ios
- Display time deltas per IO
-w span
--stopwatch=span
-
Display traces for the span specified -- where span can be:
end-time -- Display traces from time 0 through end-time (in ns)
or
start:end-time -- Display traces from time start through end-time (in ns).
-v
--verbose
- More verbose marginal on marginal errors
-V
--version
- Display version
TRACE ACTIONS
The following trace actions are recognised:
- C -- complete
- A previously issued request has been completed. The output will detail the
sector and size of that request, as well as the success or failure of it.
- D -- issued
- A request that previously resided on the block layer queue or in the i/o
scheduler has been sent to the driver.
- I -- inserted
- A request is being sent to the i/o scheduler for addition to the internal queue
and later service by the driver. The request is fully formed at this time.
- Q -- queued
- This notes intent to queue i/o at the given location. No real requests exists
yet.
- B -- bounced
- The data pages attached to this bio are not reachable by the hardware
and must be bounced to a lower memory location. This causes a big slowdown in
i/o performance, since the data must be copied to/from kernel buffers. Usually
this can be fixed with using better hardware -- either a better i/o controller,
or a platform with an IOMMU.
- M -- back merge
- A previously inserted request exists that ends on the boundary of where this i/o
begins, so the i/o scheduler can merge them together.
- F -- front merge
- Same as the back merge, except this i/o ends where a previously inserted
requests starts.
- M --front or back merge
- One of the above
- M -- front or back merge
- One of the above.
- G -- get request
- To send any type of request to a block device, a struct request
container must be allocated first.
- S -- sleep
- No available request structures were available, so the issuer has to wait for
one to be freed.
- P -- plug
- When i/o is queued to a previously empty block device queue, Linux will plug the
queue in anticipation of future ios being added before this data is needed.
- U -- unplug
- Some request data already queued in the device, start sending requests to the
driver. This may happen automatically if a timeout period has passed (see next
entry) or if a number of requests have been added to the queue.
- T -- unplug due to timer
- If nobody requests the i/o that was queued after plugging the queue, Linux will
automatically unplug it after a defined period has passed.
- X -- split
- On raid or device mapper setups, an incoming i/o may straddle a device or
internal zone and needs to be chopped up into smaller pieces for service. This
may indicate a performance problem due to a bad setup of that raid/dm device,
but may also just be part of normal boundary conditions. dm is notably bad at
this and will clone lots of i/o.
- A -- remap
- For stacked devices, incoming i/o is remapped to device below it in the i/o
stack. The remap action details what exactly is being remapped to what.
OUTPUT DESCRIPTION AND FORMATTING
The output from blkparse can be tailored for specific use -- in particular, to ease parsing of output, and/or limit output fields to those the user wants to see. The data for fields which can be output include:
- a
-
Action, a (small) string (1 or 2 characters) -- see table below for more details
- c
-
CPU id
- C
-
Command
- d
-
RWBS field, a (small) string (1-3 characters) -- see section below for more details
- D
-
7-character string containing the major and minor numbers of
the event's device (separated by a comma).
- e
-
Error value
- m
-
Minor number of event's device.
- M
-
Major number of event's device.
- n
-
Number of blocks
- N
-
Number of bytes
- p
-
Process ID
- P
-
Display packet data -- series of hexadecimal values
- s
-
Sequence numbers
- S
-
Sector number
- t
-
Time stamp (nanoseconds)
- T
-
Time stamp (seconds)
- u
-
Elapsed value in microseconds (-t command line option)
- U
-
Payload unsigned integer
Note that the user can optionally specify field display width, and optionally a left-aligned specifier. These precede field specifiers, with a '%' character, followed by the optional left-alignment specifier (-) followed by the width (a decimal number) and then the field.
Thus, to specify the command in a 12-character field that is left aligned:
-f "%-12C"
ACTION IDENTIFIERS
The following table shows the various actions which may be output:
- A
-
IO was remapped to a different device
- B
-
IO bounced
- C
-
IO completion
- D
-
IO issued to driver
- F
-
IO front merged with request on queue
- G
-
Get request
- I
-
IO inserted onto request queue
- M
-
IO back merged with request on queue
- P
-
Plug request
- Q
-
IO handled by request queue code
- S
-
Sleep request
- T
-
Unplug due to timeout
- U
-
Unplug request
- X
-
Split
RWBS DESCRIPTION
This is a small string containing at least one character ('R' for read, 'W' for write, or 'D' for block discard operation), and optionally either a 'B' (for barrier operations) or 'S' (for synchronous operations).
DEFAULT OUTPUT
The standard header (or initial fields displayed) include:
"%D %2c %8s %5T.%9t %5p %2a %3d"
Breaking this down:
- %D
-
Displays the event's device major/minor as: %3d,%-3d.
- %2c
-
CPU ID (2-character field).
- %8s
-
Sequence number
- %5T.%9t
-
5-character field for the seconds portion of the time stamp and a 9-character field for the nanoseconds in the time stamp.
- %5p
-
5-character field for the process ID.
- %2a
-
2-character field for one of the actions.
- %3d
-
3-character field for the RWBS data.
Seeing this in action:
8,0 3 1 0.000000000 697 G W 223490 + 8 [kjournald]The header is the data in this line up to the 223490 (starting block). The default output for all event types includes this header.
DEFAULT OUTPUT PER ACTION
C -- complete
-
If a payload is present, this is presented between
parenthesis following the header, followed by the error value.
If no payload is present, the sector and number of blocks are presented (with an intervening plus (+) character). If the -t option was specified, then the elapsed time is presented. In either case, it is followed by the error value for the completion.
B -- bounced
D -- issued
I -- inserted
Q -- queued
-
If a payload is present, the number of payload bytes
is output, followed by the payload in hexadecimal between parenthesis.
If no payload is present, the sector and number of blocks are presented (with an intervening plus (+) character). If the -t option was specified, then the elapsed time is presented (in parenthesis). In either case, it is followed by the command associated with the event (surrounded by square brackets).
F -- front merge
G -- get request
M -- back merge
S -- sleep
- The starting sector and number of blocks is output (with an intervening plus (+) character), followed by the command associated with the event (surrounded by square brackets).
P -- plug
- The command associated with the event (surrounded by square brackets) is output.
U -- unplug
T -- unplug due to timer
- The command associated with the event (surrounded by square brackets) is output, followed by the number of requests outstanding.
X -- split
- The original starting sector followed by the new sector (separated by a slash (/) is output, followed by the command associated with the event (surrounded by square brackets).
A -- remap
- Sector and length is output, along with the original device and sector offset.
EXAMPLES
To trace the i/o on the device /dev/hda and parse the output to human readable form, use the following command:
% blktrace -d /dev/sda -o - | blkparse -i -
(see blktrace (8) for more information). This same behaviour can be achieve with the convenience script btrace. The command
% btrace /dev/sda
has exactly the same effect as the previous command. See btrace (8) for more information.
To trace the i/o on a device and save the output for later processing with blkparse, use blktrace like this:
% blktrace /dev/sda /dev/sdb
This will trace i/o on the devices /dev/sda and /dev/sdb and save the recorded information in the files sda and sdb in the current directory, for the two different devices, respectively. This trace information can later be parsed by the blkparse utility:
% blkparse sda sdb
which will output the previously recorded tracing information in human readable form to stdout.
AUTHORS
blkparse was written by Jens Axboe, Alan D. Brunelle and Nathan Scott. This man page was created from the blktrace documentation by Bas Zoetekouw.
REPORTING BUGS
Report bugs to<EMAIL_ADDRESS>Copyright © 2006 Jens Axboe, Alan D. Brunelle and Nathan Scott.This is free software. You may redistribute copies of it under the terms of the GNU General Public License <http://www.gnu.org/licenses/gpl.html>. There is NO WARRANTY, to the extent permitted by law.
This manual page was created for Debian by Bas Zoetekouw. It was derived from the documentation provided by the authors and it may be used, distributed and modified under the terms of the GNU General Public License, version 2.
On Debian systems, the text of the GNU General Public License can be found in /usr/share/common-licenses/GPL-2.
SEE ALSO
btrace (8), blktrace (8), verify_blkparse (1), blkrawverify (1), btt (1)
Index
- NAME
- SYNOPSIS
- DESCRIPTION
- OPTIONS
- TRACE ACTIONS
- OUTPUT DESCRIPTION AND FORMATTING
- ACTION IDENTIFIERS
- RWBS DESCRIPTION
- DEFAULT OUTPUT
- DEFAULT OUTPUT PER ACTION
- EXAMPLES
- AUTHORS
- REPORTING BUGS
- COPYRIGHT
- SEE ALSO
This document was created by man2html, using the manual pages.
Time: 05:29:02 GMT, December 24, 2015


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