Autofs Puppet Module
Table of Contents
- Description - - What the module does and why it is useful
- Setup - The basics of getting started with Autofs
- Usage - Configuration options and additional functionality
- Reference - An under-the-hood peek at what the module is doing and how
- Limitations - OS compatibility, etc
- Development - Guide for contributing to the module
- Support - When you need help with this module
Description
The Autofs module is a Puppet module for managing the configuration of automount network file system. This is a global module designed to be used by any organization. This module assumes the use of Hiera to set variables and serve up configuration files.
Setup
The Module manages the following:
- Autofs package
- Autofs service
- Autofs Configuration File (/etc/auto.master)
- Autofs Map Files (i.e. /etc/auto.home)
Requirements
Usage
The module includes a single class:
include autofs
By default this installs and starts the autofs service with the module's default master file.
You can also manage the state of the autofs package or service.
By default the module will install the autofs package and start/enable the autofs service. You can configure this by using the parameters defined in the main init class.
For example, to ensure the package is absent:
class { 'autofs':
package_ensure => 'absent',
}
To ensure that a service is disabled and not running:
class { 'autofs':
service_ensure => 'stopped',
service_enable => false,
}
Map Files
To setup the Autofs Map Files, there is a defined type that can be used:
autofs::mount { 'home':
mount => '/home',
mapfile => '/etc/auto.home',
mapcontents => ['* -user,rw,soft,intr,rsize=32768,wsize=32768,tcp,nfsvers=3,noacl server.example.com:/path/to/home/shares'],
options => '--timeout=120',
order => 01
}
This will generate content in both the auto.master file and a new auto.home map file:
auto.master
/home /etc/auto.home --timeout=120
auto.home
* -user,rw,soft,intr,rsize=32768,wsize=32768,tcp,nfsvers=3,noacl server.example.com:/path/to/home/shares
The defined type requires all parameters, except direct and execute, to build the autofs config. The direct and execute parameters allow for the creation of indirect mounts, see the Parameters section for more information on the defaults for direct and execute.
In hiera, there's a autofs::mounts
class you can configure, for example:
autofs::mounts:
home:
mount: '/home'
mapfile: '/etc/auto.home'
mapcontents:
- '* -user,rw,soft,intr,rsize=32768,wsize=32768,tcp,nfsvers=3,noacl server.example.com:/path/to/home/shares'
options: '--timeout=120'
order: 01
Direct Map /-
arugment
The autofs module also supports the use of the built in autofs /-
argument used with Direct Maps.
Examples:
Define:
autofs::mount { 'foo':
mount => '/-',
mapfile => '/etc/auto.foo',
mapcontents => ['/foo -o options /bar'],
options => '--timeout=120',
order => 01
}
Hiera:
autofs::mounts:
foo:
mount: '/-'
mapfile: '/etc/auto.foo'
mapcontents:
- '/foo -o options /bar'
options: '--timeout=120'
order: 01
Autofs +dir:
options
The autofs module now supports the use of the +dir:
option in the auto.master.
This option is 100% functional, but does require some work to simplify it.
Usage
Define:
autofs::mount { 'home':
mount => '/home',
mapfile => '/etc/auto.home',
mapcontents => ['* -user,rw,soft,intr,rsize=32768,wsize=32768,tcp,nfsvers=3,noacl server.example.com:/path/to/home/shares'],
options => '--timeout=120',
order => 01,
use_dir => true
}
Hiera:
autofs::mounts:
home:
mount: '/home'
mapfile: '/etc/auto.home'
mapcontents:
- '* -user,rw,soft,intr,rsize=32768,wsize=32768,tcp,nfsvers=3,noacl server.example.com:/path/to/home/shares'
options: '--timeout=120'
order: 01
use_dir: true
Map Entries
In addition to adding map entries via the mapcontents
parameter to autofs::mount the
autofs::map` type can also be used.
Usage
Define:
autofs::map{'data':
map => '/etc/auto.data',
mapcontents => 'data -user,rw,soft server.example.com:/path/to/data,
}
Hiera:
autofs::maps:
data:
map: '/etc/auto.data'
mapcontent: 'data -user,rw server.example.com:/path/to/data'
It is assumed that the map file itself has already been defined with
and autofs::mount
first.
autofs::mount{'auto.data':
mapfile => '/etc/auto.data',
mount => '/big',
}
Reference
Classes
Public Classes
- autofs: Main class. Contains or calls all other classes or defines.
Private Classes
- autofs::package: Handles autofs packages.
- autofs::service: Handles the service.
Parameters
mounts
Optional.
Data type: Hash
A hash of options that will build the configuration. This hash is passed to the Defined type.
Each hash key is the equivalent to a parameter in the autofs::mount
defined type.
Default: undef
package_ensure
Data type: String
Determines the state of the package. Can be set to: installed, absent, lastest, or a specific version string.
Default: 'installed'
service_ensure
Data type: Enum['running', 'stopped']
Determines state of the service.
Default: 'running'
service_enable
Data type: Boolean
Determines if the service should start with the system boot.
Default: true
Defines
Public Defines
- autofs::mount: Builds the autofs configuration.
- autofs::map: Builds map entires for autofs configuration.
Parameters for autofs::mount
mount_name
Data type: String
This is a logical, descriptive name for what what autofs will be
mounting. This is represented by the home:
and tmp:
entries above.
mount
Data type: Stblib::Absolutepath
This Mapping describes where autofs will be mounting to. This map
entry is referenced by concat as part of the generation of the /etc/auto.master
file. Defaults to the title
of the autofs::mount
mapfile
Data type: Stdlib::Absolutepath or Autofs::MapEntry
This Mapping describes the name and path of the autofs map file.
This mapping is used in the auto.master generation, as well as generating the map
file from the auto.map.erb template. This parameter is no longer required.
When anything other than a simple file path is used mapfile_manage
must be false.
mapfile_manage
Data type: Boolean
If true the the mapfile file will be created and maintained. Defaults to true. Set this to false when the map file is maintained some other way, e.g auto.smb from the autofs package.
mapcontents
Data type: Array
This Mapping describes the folders that will be mounted, the mount options, and the path to the remote or local share to be mounted. Used in mapfile generation.
Default: []
options
Optional.
Data type: String
This Mapping describes the auto.master options to use (if any) when mounting the automounts.
Default: ''
order
Data type: Integer
This Mapping describes where in the auto.master file the entry will be placed. Order CANNOT be duplicated.
Default: undef
master
Data type: Stdlib::Absolutepath
This Parameter sets the path to the auto.master file.
Default: '/etc/auto.master'
map_dir
Data type: Stdlib::Absolutepath
This Parameter sets the path to the Autofs configuration directory for map files. Applies only to autofs 5.0.5 or later.
Default: '/etc/auto.master.d'
use_dir
Data type: Boolean
This Parameter tells the module if it is going to use $map_dir.
Default: false
direct
Data type: Boolean
Enable or disable indirect maps.
Default: true
execute
Data type: Boolean
Set mapfile to be executable.
Default: false
replace
Data type: Boolean
Whether or not to replace the mapfile if it already exists.
Default: true
Parameters for autofs::map
mapfile
Data type: Stdlib::Absolutepath
mapfile file to add entry to. e.g '/etc/auto.data'.
mapcontent
Data type: String
This Mapping describes a folder that will be mounted, the mount options, and the path to the remote or local share to be mounted. Used in mapfile generation. e.g. 'data -rw nfs.example.org:/data/big
Limitations
Removals
Directly calling the autofs::package
and autofs::service
classes is disabled in 3.0.0.
These are now private classes.
Puppet platforms
Compatible with Puppet 4 only. Puppet 4.6.0 will provide best results.
Operating Systems
- Supported
- Ubuntu
- 14.04
- 16.04
- CentOS/RHEL/Scientific/Oracle Linux
- 6.x
- 7.x
- SLES
- 11 Service Pack 4
- 12 Service Pack 1
- OpenSUSE 13.1
- Debian
- 7 "Wheezy"
- 8 "Jessie"
- Ubuntu
- Self Support - should work, support not provided by developer
- Solaris 10, 11
- Fedora 24, 25
- SLES 10
- CentOS/RHEL/Scientific/Oracle Linux 5.x
- Unsupported
- Windows (Autofs not available)
- Mac OS X (Autofs Not Available)
Development
Please see the CONTRIBUTING.md file for instructions regarding development environments and testing.
Authors
- Vox Pupuli<EMAIL_ADDRESS>- David Hollinger: david.hollinger@moduletux.com


Bulworth exciting but what does it mean?
Bulworth A Film Review By Michael Redman Copyright 1998 By Michael Redman
*** (out of ****)
Senator Bulworth (Warren Beatty) is a man facing his own demons. Coming from an idealistic liberal beginning, he's now in bed with lobbyists and has sold out everything he believed in. In the middle of a re-election campaign he's a man with a plan. "Buying" a huge life insurance policy in exchange for voting correctly, he then hires an unknown assassin to kill him.
With the new found freedom, Bulworth discovers life. He begins telling the truth as he sees it - a definite no-no for a politician. In the beginning his pronouncements are convoluted. He tells an all-black church that unless they stop eating chicken wings and backing OJ, they'll never be rid of people like him. At a Hollywood fund-raiser, he condemns movies as shoddy products and says that the only reason that he's there is because they are all rich Jews.
 Dancing with the luscious Halle Berry in one of the most erotic scenes ever involving two vertical people, he falls for her and decides that he wants to live. Now he has to figure out how to call off the contract.
There are some fascinating aspects of the film. The story follows traditional mythological aspects of a heroic journey. The lost man travels deep into the underworld to discover his soul and finds truth. Reborn a new person, he attempts to right wrongs. There is also the political angle. In this arena, the movie seems somewhat anachronistic. It's a film that could have been made years ago and although the circumstances are still the same, that portion seems dated.
The confusion comes when these two are mixed. Just when Bulworth's search for his new life is becoming interesting, the election throws that line off track. The assassination device also is troublesome. While it works to get the story into gear, after that it gets in the way. Bulworth's dodging his murderer is a waste of time in what is an otherwise enticing film.
Two weeks after mulling over the movie in the vast recesses of the back of my mind, there are still a few things that I can't get a grasp on. The most wondrous character in the film is an elderly homeless man who runs into Bulworth at opportune times to say...something. He ties into the mythological journey but how? Who is he and what is his purpose in the film? Either I'm too dim to understand or he (and a few other scenes) is tossed in the mix just for weirdness. I would prefer to think it's the latter.
Bulworth is a well-constructed ride and thought-provoking. The answers aren't readily apparent and maybe that's a good thing.
(Michael Redman has written this column for over 23 years and realizes that the Summer Solstice is just around the corner. Time flies when it rains every day<EMAIL_ADDRESS>is an eaddress for random notes.)
[This appeared in the 6/18/98 "Bloomington Voice", Bloomington, Indiana. Michael Redman can be contacted at<EMAIL_ADDRESS>--<EMAIL_ADDRESS>This week's film review at http://www.bvoice.com/ Film reviews archive at http://us.imdb.com/M/reviews_by?Michael%20Redman
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


Please enable METAMASK(ropsten network) to continue. Metamask is used to generate and store short urls on the ethereum blockchian, you may continue to use the shortened urls without Metamask. Eg 0x.now.sh/s?id=23
Metamask -> Ropsten
Please switch Metamask to Ropsten network to proceed


|
Spring Social | ||||||||
| PREV PACKAGE NEXT PACKAGE | FRAMES NO FRAMES |
See:
Description
| Interface Summary | |
|---|---|
| ApiBinding | Base interface that may be implemented by API bindings. |
| ServiceProvider<A> | Top-level marker interface defining a ServiceProvider. |
| UserIdSource | Strategy interface used to determine the account ID of the current user. |
| Exception Summary | |
|---|---|
| ApiException | Indicates that an error occurred while consuming a provider API. |
| DuplicateStatusException | Exception thrown when a duplicate status is posted. |
| ExpiredAuthorizationException | Exception indicating that the authorization presented to the server has expired. |
| InsufficientPermissionException | Exception thrown when attempting an operation that requires a permission not granted to the caller. |
| InternalServerErrorException | Exception indicating an internal error occurred on the server. |
| InvalidAuthorizationException | Exception indicating that the authorization used during an operation invocation is invalid. |
| MissingAuthorizationException | Exception indicating that an operation requiring authorization was attempted without providing authorization. |
| NotAuthorizedException | Indicates the client is not authorized to invoke the API. |
| OperationNotPermittedException | Indicates an operation was attempted that is not permitted. |
| RateLimitExceededException | Exception thrown when API calls are being rate-limited. |
| RejectedAuthorizationException | Exception indicating that the authorization used during an operation invocation is rejected by the server. |
| ResourceNotFoundException | Indicates that the requested provider API resource could not be found. |
| RevokedAuthorizationException | Exception indicating that the authorization used during an operation invocation has been revoked. |
| ServerDownException | Exception indicating that the server is down or being upgraded. |
| ServerException | Exception thrown when a server error occurs. |
| ServerOverloadedException | Exception indicating that the server is experiencing high load. |
| SocialException | Exception class indicating a problem occurred performing an operation against a service provider. |
| UncategorizedApiException | Indicates that an otherwise uncategorized error occurred while consuming a provider API. |
Core Spring Social classes
|
Spring Social | ||||||||
| PREV PACKAGE NEXT PACKAGE | FRAMES NO FRAMES |


--- layout: archive title: Zulip Chat Archive permalink: /stream/113489-new-members/topic/Substitute.20away.20let.20binding.20in.20tactic.20mode.html ---
Suppose I have a context of the following form (not sure how to type the turnstile in Lean):
x := <some_term> |- <some_goal_involving_x>
How do I substitute the value of x
into the goal (or hypotheses mentioning x
)? rw x
does not seem to work.
If you defined x
using let
then you might be able to write change [what you want the goal to be]
. If you have defined it using set x := blah using hx
then you can probably just rw hx
.
So would set x := <some_term>
be a better option here?
PS turnstile is \|-
. If you copy and paste a turnstile into a Lean file and then hover over it then there's a high chance that it will tell you the keyboard shortcut.
I always use set
rather than let
but then again I find let
quite confusing and I always work in tactic mode.
The change
tactic changes a goal to a defeq goal
example : true := begin let n := 3, have h : n = 4, change 3 = 4, -- works end
So n is definitionally equal to 3 and so the change tactic works.
Kevin Buzzard said:
If you defined
x
usinglet
then you might be able to writechange [what you want the goal to be]
. If you have defined it usingset x := blah using hx
then you can probably justrw hx
.
Thank you - set x := <some_term> with hx
(and then rw hx
later on) worked for me
Another way to rewrite a let definition x
by its value is dsimp [x]
.
Last updated: Apr 24 2020 at 19:02 UTC


--- layout: post date: 2018-01-28 21:20:00 +0100 title: "pristine-tar considered harmful" categories: Artikel tags: - debian ---
If you want to follow along at home, clone this repository:
% GBP_CONF_FILES=:debian/gbp.conf gbp clone https://anonscm.debian.org/git/pkg-go/packages/golang-github-go-macaron-inject.git
Now, in the golang-github-go-macaron-inject
directory, I’m aware
of three ways to obtain an orig tarball (please correct me if there are more):
gbp
buildpackage
, creating an orig tarball from git
(upstream/0.0_git20160627.0.d8a0b86
)d085a04b7b35856be24f8cc4a9a6d9799cdb59b4
.
pristine-tar
checkout
d51575c0b00db5fe2bbf8eea65bc7c4f767ee954
.
origtargz
d51575c0b00db5fe2bbf8eea65bc7c4f767ee954
.
Have a look at the archive’s golang-github-go-macaron-inject_0.0~git20160627.0.d8a0b86-2.dsc, however: the file entry orig tarball reads:
f5d5941c7b77e8941498910b64542f3db6daa3c2 7688 golang-github-go-macaron-inject_0.0~git20160627.0.d8a0b86.orig.tar.xz
So, why did we get a different tarball? Let’s go through the methods:
gbp buildpackage
to create
their tarball. Perhaps they imported from a tarball created by
dh-make-golang, or created manually, and then left that tarball in place
(which is a perfectly fine, normal workflow).
pristine-tar
resulted in a different
tarball than what’s in the archive. I think the most likely theory is that
the uploader had to go back and modify the tarball, but forgot to update (or
made a mistake while updating) the pristine-tar branch.
origtargz
, when it detects pristine-tar data, uses
pristine-tar, hence the same tarball as ②.
Had we not used pristine-tar for this repository at
all, origtargz
would have pulled the correct tarball from the
archive.
The above anecdote illustrates the fragility of the pristine-tar approach. In my experience from the pkg-go team, when the pristine-tar branch doesn’t contain outright incorrect data, it is often outdated. Even when everything is working correctly, a number of packagers are disgruntled about the extra work/mental complexity.
In the pkg-go team, we have (independently of this specific anecdote) collectively decided to have the upstream branch track the upstream remote’s master (or similar) branch directly, and get rid of pristine-tar in our repositories. This should result in method ① and ③ working correctly.
In conclusion, my recommendation for any repository is: don’t bother with
pristine-tar. Instead, configure origtargz
as a git-buildpackage
postclone hook in your ~/.gbp.conf
to always work with archive
orig tarballs:
[clone] # Ensure the correct orig tarball is present. postclone=origtargz [buildpackage] # Pick up the orig tarballs created by the origtargz postclone hook. tarball-dir = ..


Creswick man David Blake dies in alleged pub altercation
UPDATE, 5PM: Tributes are pouring in online for David Blake, the Creswick man who died following an alleged altercation at a hotel early Sunday morning.
A plasterer, Mr Blake was well-known across the tight-knit community.
Several people The Courier spoke to described him as a "wonderful person", and said the news of his death was "a shock".
Mr Blake was closely involved in the Creswick Football Netball Club and Creswick Cricket Club, and had several relatives in the town.
Dozens of comments on social media paid respect to 'Tender', and his family and friends.
"Lost for words. Creswick won't be the same with you Dave. Rest easy," wrote one person.
Dave Coxall, a family friend who coached him in footy and cricket, had known him "since he was seven or eight".
"We've all been numb," he said.
"We were going to cancel cricket today, but we thought he'd want us to continue."
People were seen placing flowers outside the pub on Sunday afternoon.
UPDATE, 1.40PM: Police media has confirmed a 41-year-old man has been charged with manslaughter following the death of another man in Creswick early Sunday morning.
It's understood the accused man is also from Creswick.
The man is being held in custody and is expected to face Ballarat Magistrates' Court tomorrow.
UPDATE, 10.50AM: The town of Creswick is in shock following the death of a well-known local.
The Farmers Arms Hotel remains cordoned off as investigators clear the scene following the death of the 39-year-old .
The local tradesman, who The Courier has chosen not to name at this point, died about 2am this morning after an alleged fight at the hotel.
Another man handed himself into the police station about 6.30am. He is still being interviewed by police.
One Creswick local who spoke to The Courier was still in disbelief, describing him as a "happy, jovial guy".
"I said hello to him on the street last week," the man said.
Other people have shared their grief on Facebook.
"A great man who was loved by many. Rest peacefully," posted Coll Thompson.
"What terrible news for our local community. My thoughts to all the sad people who will be affected by this," wrote Melinda Bray.
The pub remains cordoned off by police and a crime scene remains.
The man's body was removed from the scene just after 9.30am.
INITIAL STORY: A man is currently in custody following the death of another man at a hotel in Creswick last night.
Homicide Squad detectives believe an altercation between two men took place at the Albert Street hotel just before 2am on Sunday.
A 39-year-old Creswick man died at the scene.
A man presented at a local police station about 6.30am and is expected to be interviewed later this morning.
The investigation remains ongoing and anyone with information is urged to phone Crime Stoppers on 1800 333 000 or submit a confidential report at www.crimestoppersvic.com.au
MORE TO COME


Password must contain number
Password must have at least 10 characters
The password is okay!
Validate password


In addition to campus life, Carnegie Mellon students can also enjoy the sights and entertainment that Pittsburgh has to offer. This includes:


Suspected charity box thief has warrant issued after fleeing court
Liam Hodgson had attended South East Northumberland Magistrates' Court but left before his case was called on
by Sara NicholA suspected charity box thief has had a warrant issued for his arrest after he fled the court building.
Liam Hodgson had arrived at South East Northumberland Magistrates' Court for his hearing on Thursday morining.
But, the 32-year-old, who had travelled from Alnwick to Bedlington, was not prepared to hang around and left the building 30 minutes later and before his case was called on.
Now, a warrant has been issued for his arrest.
The court was told that Hodgson, of Cedar Grove, Alnwick, was facing a charge of theft by finding after he allegedly stole a charity box from Carlo's Fish and Chip shop, in his home town, on September 13 this year.
How much was in the box was unknown.
Alan Brown, defending, told magistrates: "He came to court and asked for us to represent him but, it seems, he's decided not to enjoy our company."
Prosecutor, Lorna Rimell, added: "It's a postal requisition, which was sent to his home address, I'd apply for a warrant without bail."
Magistrates agreed and an arrest warrant was issued.
When police catch-up with Hodgson, he will not be allowed bail until he has appeared in the dock to face the charge.


We exchange services!
- enable extensible bandwidth
- expedite vertical niches
- whiteboard collaborative networks
- scale extensible e-markets
- generate proactive systems
- revolutionize dynamic web services
- e-enable bricks-and-clicks metrics
- facilitate extensible solutions
- transition transparent applications
- leverage dynamic ROI
- matrix strategic functionalities
- visualize frictionless users
- deliver wireless functionalities
- expedite back-end paradigms
- transition synergistic platforms


SEARCH FOR INVITES
Enter Part or All of the Invite's Name:
Name: {{foundInvitee.inviteeName}}
Email Address: {{foundInvitee.inviteeEmailAddress}}
Update
Delete


The role of canonical neural computations in sound localization
PhD thesis, Imperial College London
(2019)
Abstract
Localizing sounds is an important ability for many species. However, reverberative sounds
present a signicant challenge to the auditory system as later arriving reverberations may carry
confounding localization cues. The 'precedence eect' refers to a set of perceptual behaviours
related to this situation. Studies investigating the precedence eect observed that the auditory
system tends to focus the core of the localization process on the computation of localization
cues carried by the rst arriving sound. Doing so relieves the auditory system from dealing
with contradictory localization cues in later arriving sounds. A recent study by Dietz et al.
(2013) conrmed that human listeners use this approach to deal with dynamic localization
cues. In order to provide an explanation for this nding, we rst tested several auditory models
on the specic task described in Dietz et al. (2013) in order to shortlist possible mechanisms
capable of accounting for the early extraction of temporal binaural cues. We found that the
best candidates to account for this data are single cell mechanisms, such as adaptation and
onset ring, as well as inhibitory population mechanisms. To further understand how each
mechanism contributes to the suppression of lagging sounds, we designed more general models
capable of demonstrating the principal features of each mechanism. We tested these models
thoroughly and found that all mechanisms were able to reproduce the results over a wide range
of parameters. This nding suggests that mechanisms responsible for the precedence eect
may not be specialized to perform this specic task but instead may be the results of more
commonly found neural circuits in the brain. Finally, to facilitate comparing the performance
of auditory models on psychoacoustical data, we also designed and implemented an auditory
modelling framework capable of addressing many challenges existing in the eld of auditory
modelling.
Links
Related software
Python/Matlab package for comparing binaural auditory models.
A Python simulator for spiking neural networks.
Categories


Tara's Ad Builder
© 2009
Signed in as
url; ?>
Sign Out
My Profile
action, array('email','login'), true ) ) : ?>
Sign In


Apple launches new privacy website, but policies unchanged
CUPERTINO, Calif. (AP) - Apple is expanding its website on privacy with more explanations about its commitments, though its policies and practices aren’t changing.
The new site Wednesday is part of Apple’s ongoing push to distinguish itself from data-hungry, advertising-fueled rivals such as Google and Facebook.
Apple’s privacy website is mostly a users’ guide with papers on how to prevent apps and other third-party services from unnecessarily tracking users’ location and behaviors.
The company’s actual privacy policy hasn’t changed.
Many of the new privacy enhancements were announced earlier as part of Apple’s iOS 13 software update for iPhones. Changes include the ability to sign in to third-party services with an Apple ID account rather than Facebook’s or Google’s, plus more notices and warnings about apps tapping location data.
Sign up for Daily Newsletters
Copyright © 2019 The Washington Times, LLC.
Please read our comment policy before commenting.


I am majoring in:
I am a transfer student from Bergen Community College. I really enjoyed my time at BCC and graduated with my Honors Associate Degree. When I left BCC, I wasn't really sure what I wanted to do concerning my career. I was, originally, going to transfer to Montclair University and major in Psychology. However, once I learned about the Human Computer Interaction major at NJIT, I knew that NJIT was the school for me. I really enjoy my major because it incorporates psychology and technology.
I am really excited to learn about Web Applications.
I am very excited to finish this midterm and then start my spring break! The time has really flown by during this semester.
This is my edit for the second assignment on January 25.


The module allows to set up multiple websites on a single database and handles requests in a different company context. It is especially useful for eCommerce to make orders for different companies.
Odoo has been designed to switch website by host name, but this feature is not completed and not supported. This module fills the gap.
Go to Website Admin → Configuration → Websites menu and add websites.
In the website creation form specify Website Name, Website Domain (e.g. apple.mycompany.local, samsung.mycompany.local, etc), choose Website Theme you wish, upload a favicon and other fields if needed. Also you will be able to specify company name if your user has ``Multi Companies`` access rights.
You can easily create menus for your websites in Website Admin → Configuration → Website Menus
Open each website and design it whatever you like. Then go to any of them and be sure that each one has own description, own products at shop, etc.
As an example you can see 3 websites below:
If a customer open apple.mycompany.local, he can see for example:
Apple Homepage
Apple Shop (it contains apple devices only)
If a customer make an order at Apple Shop, the created sale order will belong to the associated company - Company 1
Sale Order
If a customer open samsung.mycompany.local, he can see for example:
Samsung Homepage
Samsung Shop (it contains samsung devices only)
If a customer make an order at Samsung Shop, the created sale order will belong to the associated company - Company 2
Sale Order
If a customer open xiaomi.mycompany.local, he can see for example:
Xiaomi Homepage
Xiaomi Shop (it contains xiaomi devices only)
If a customer make an order at Xiaomi Shop, the created sale order will belong to the associated company - Company 3
Sale Order
As a result you can see different websites for different companies in your database.
Note that you can use different payment acquirers per each website. Let's consider how to setup 2 different paypal accounts for 2 different websites.
Go to Invoicing → Configuration → Payments Acquirers and open Paypal acquier form. Click on the Action ⇒ Duplicate button to create the second one
Detailed instruction about how to configure Paypal account and get Paypal Identity Token you can find here
For a live demostration click LIVE PREVIEW button above (near to Add to Cart)
Contact us by email or fill out request form


Weather
MÉT EIREANN: Heavy rainfall and flooding for Louth
Warning
by David LynchAccording to Met Eireann, Louth is to be hit with heavy persistent rainfall today with 20mm possible.
They add that after recent heavy rainfall and with water levels elevated, some flooding may occur.
A rainfall warning is in place from today at 12:00 noon to 6:00pm.


|
Friedrich NietzschePeople discover this German philosopher in one of two ways: either they're forced to read about him in school, or they're curious about all the references to "Nietzsche" made by Monty Python.He was a brilliant student with rigorous training in German, Latin and Greek. At the age of 24, Nietzsche was appointed professor of classical philology at the University of Basel. His first book, The Birth of Tragedy, was a series of dialogs arguing that death is perhaps the best possible thing a human being could ever hope for. Although it garnered immediate critical acclaim, historians consider this early work a little fumbly. He seemed to be "guesstimating" a lot, sprinkling his text with phrases like perhaps, maybe, and what if. It was like he had plenty of marijuana and a quality bong, but nothing to start a real fire. Later he'd write a book appropriately titled The Gay Science, a conversation with numerous fictional characters who do in fact discuss how gay science is. A "madman" in one portion of the play famously announces that God is dead, using this simple logic:
1. Without God, humans are deprived of absolute values or eternal truths. Essentially this suggests that because God can only exist due to one's own faith, the God-fearing among us are trapped inside a chicken-and-egg infinite loop support system from which no genuine satisfaction can ever be extracted. It was an airtight case which fell apart when people wondered, well, if God is dead then he must have been alive at some point. Even Monks and Buddhists took offense, piping up from their vows of silence to declare that God played no part whatsoever in the act of their spiritual quests. Nietzsche went on to point out that he was not actually talking about God, but rather a fascist European political structure.  He believed there simply wasn't enough love and kindness in the world to give any of it away to imaginary beings. By far, his masterwork was Human, All Too Human first published in 1878. This was a dense, heavy text containing piercing observations which lay bare the hidden motivations underlying all aspects of human behavior. The book is organized in sections like a bible. The chapters have titles like Man Alone by Himself, Wife and Child, and Signs of Higher and Lower Culture.Each section is divided up into individual fragments of condensed information, resembling a dictionary:
Presence of witnesses. One is twice as happy to dive after a man who has fallen into the water if people are present who do not dare to. Nietzsche pounded females and several minorities in this volume, even going so far as to say that doing otherwise would be contrary to Nature. In Beyond Good and Evil, Nietzsche delivers misogynistic tirades which attack women's intellectual acumen. Indeed, Sigmund Freud often marveled how Nietzsche's hunches and insights behaved in synchronous agreement with the laborious results of academic psychoanalysis. In between writing and philosophizing, Nietzsche took the time to enter into a strange friendship with composer/musician Richard Wagner, who was more than twice Nietzsche's age. It began well, but publicly degenerated into a bitter intellectual and emotional feud. There existed a jealous and intensely competitive love triangle between Nietzsche, Wagner, and Wagner's wife Cosima. Wagner could be a manipulative brute, and the combined traumatized childhoods of Nietzsche and Cosima bound them in submission to Wagner. Wagner would subjugate them both to seductive, emotionally abusive behavior. Wagner knew about Nietzsche's secret life as a homosexual, and Nietzsche continued to obsess over this fact long after Wagner's death. In January of 1889, Nietzsche collapsed on a street in Turin, Italy - rapidly descending into insanity. Some blame syphilis, which wouldn't have anything resembling a cure for many years. He remained in a state of mental and physical paralysis until his death. Nietzsche's sister ended up with control over his books and papers intended for publication. She hated the Jews more than anything else, and she worked hard to ensure that Nietzsche's legacy would be used to fund the Nazi regime. Maybe that's what Monty Python finds so funny.
Timeline
|


Untitled – Oil on canvasboard 9x12″
Untitled – Oil on canvas 39x19″
Untitled – Oil on canvasboard 8x12″
Untitled – Oil on board 5x7″
Untitled – Oil on canvasboard 14x9″
Untitled – Oil on canvas 20×24″
Untitled – Oil on board 5x7″
Untitled – Oil on paper″
❯
❮


Road Map
-
Concept Inception
The StuSmart idea was born in July 2018 when Edoardo and Abinash met in Plan. We made our hypothesis, creating our plan A. We start to evaluate our Problem/Solution fit.
-
Shaping Plan
We start to interview customers, the goal was to know their problem, what they really want. plan A has been changed and shaped. At the end our plan and software features were clear.
-
MVP developing & Startup Visa
Our MVP stage: Students can chat with all the mate that subscribe under their course. Upload and download free notes.
Startup Visa: we had granted a startup visa for Estonia. -
BETA Test MVP & Market Fit
Using as channel the university facebook group, we will BETA test our MVP and our product Market Fit
-
Add Free Features & Marketing
Developing: Exams FAQ, University Group, Group Study, Tutoring.
Marketing: We will send Flyer in each university where we had the BETA tester, students will start to know about our software. -
Add Subscription Features
We will add the subscription program, students can find more high-quality documentation. by paying a small monthly fee
-
Raise Funds
Trought Angels investors we would like to raise some capital and mentorship.


pdqr_approx_error()
computes errors that are results of 'pdqr'
approximation, which occurs because of possible tail trimming and assuming
piecewise linearity of density function in case of "continuous" type. For an
easy view summary, use summary().
pdqr_approx_error(f, ref_f, ..., gran = 10, remove_infinity = TRUE)
| f | A p-, d-, or q-function to diagnose. Usually the output of one of
|
|---|---|
| ref_f | A "true" distribution function of the same class
as |
| ... | Other arguments to |
| gran | Degree of grid "granularity" in case of "continuous" type: number of subintervals to be produced inside every interval of density linearity. Should be not less than 1 (indicator that original column from "x_tbl" will be used, see details). |
| remove_infinity | Whether to remove rows corresponding to infinite error. |
A data frame with the following columns:
grid <dbl>
: A grid at which errors are computed.
error <dbl>
: Errors which are computed as ref_f(grid, ...) - f(grid)
.
abserror <dbl>
: Absolute value of "error" column.
Errors are computed as difference between "true" value (output of
ref_f
) and output of pdqr-function f
. They are computed at "granulated"
gran
times grid (which is an "x" column of "x_tbl" in case f
is p- or
d-function and "cumprob" column if q-function). They are usually negative
because of possible tail trimming of reference distribution.
Notes:
gran
argument for "discrete" type is always 1.
Quantile pdqr approximation of "discrete" distribution with infinite
tale(s) can result into "all one" summary of error. This is expected output
and is because test grid is chosen to be quantiles of pdqr-distribution which
due to renormalization can differ by one from reference ones. For example:
summary(pdqr_approx_error(as_p(ppois, lambda = 10), ppois, lambda = 10))
.
enpoint()
for representing pdqr-function as a set of points with
desirable number of rows.
#> grid error abserror
#> Min. :-4.753 Min. :-7.979e-07 Min. :9.900e-12
#> 1st Qu.:-2.377 1st Qu.:-4.000e-07 1st Qu.:1.975e-09
#> Median : 0.000 Median :-5.552e-08 Median :5.552e-08
#> Mean : 0.000 Mean :-2.104e-07 Mean :2.104e-07
#> 3rd Qu.: 2.377 3rd Qu.:-1.975e-09 3rd Qu.:4.000e-07
#> Max. : 4.753 Max. :-9.900e-12 Max. :7.979e-07
# Setting `gran` results into different number of rows in output
error_norm_2 <- pdqr_approx_error(d_norm, dnorm, gran = 1)
nrow(meta_x_tbl(d_norm)) == nrow(error_norm_2)
#> [1] TRUE
# By default infinity errors are removed
d_beta <- as_d(dbeta, shape1 = 0.3, shape2 = 0.7)
error_beta_1 <- pdqr_approx_error(d_beta, dbeta, shape1 = 0.3, shape2 = 0.7)
summary(error_beta_1)
#> grid error abserror
#> Min. :0.00001 Min. :-13.9547 Min. : 0.0167
#> 1st Qu.:0.25000 1st Qu.: -0.0278 1st Qu.: 0.0174
#> Median :0.50000 Median : -0.0199 Median : 0.0199
#> Mean :0.50000 Mean : -0.0215 Mean : 0.0470
#> 3rd Qu.:0.74999 3rd Qu.: -0.0174 3rd Qu.: 0.0278
#> Max. :0.99999 Max. :587.9396 Max. :587.9396
# To not remove them, set `remove_infinity` to `FALSE`
error_beta_2 <- pdqr_approx_error(
d_beta, dbeta, shape1 = 0.3, shape2 = 0.7, remove_infinity = FALSE
)
summary(error_beta_2)
#> grid error abserror
#> Min. :0.00 Min. :-13.95467 Min. :0.01671
#> 1st Qu.:0.25 1st Qu.: -0.02783 1st Qu.:0.01736
#> Median :0.50 Median : -0.01987 Median :0.01987
#> Mean :0.50 Mean : Inf Mean : Inf
#> 3rd Qu.:0.75 3rd Qu.: -0.01736 3rd Qu.:0.02784
#> Max. :1.00 Max. : Inf Max. : Inf


Some basic concepts: in Minorthird, a collection of documents are stored in a {@link edu.cmu.minorthird.text.TextBase}. Annotations about these documents are stored in a corresponding {@link edu.cmu.minorthird.text.TextLabels} object. Each annotation asserts a category or property for a word, a document, or a subsequence of words (aka a {@link edu.cmu.minorthird.text.Span}). TextLabels stored information from many sources: they might hold annotations produced by human labelers (perhaps using a GUI tool like the {@link edu.cmu.minorthird.text.gui.TextBaseEditor}) or, annotations produced by a hand-writted program, or annotations produced by a learned program. Multiple TextLabels can annotate a single TextBase, if necessary.
More about the text manipulation and processing can be found in the Javadocs for the minorthird.text and minorthird.text.mixup packages.
Annotated TextBases can be stored in many ways, so a "repository" can be configured to hold a bunch of TextLabels and their associated TextBases. TextLabels in the repository are loaded with the {@link edu.cmu.minorthird.text.FancyLoader}. TextLabels and TextBases can also be loaded directly with the {@link edu.cmu.minorthird.text.TextBaseLoader} and the {@link edu.cmu.minorthird.text.gui.TextBaseEditor}.
Moderately complex annotation programs can be implemented with {@link edu.cmu.minorthird.text.mixup.Mixup}, a special-purpose annotation language which is part of Minorthird. Mixup can also be used to generate features for learning algorithms. A sequence of Mixup commands can be combined in a {@link edu.cmu.minorthird.text.mixup.MixupProgram}. The {@link edu.cmu.minorthird.text.gui.MixupDebugger} is a gui tool for testing a MixupProgram.
Minorthird contains a number of methods for learning to extract Spans from a document, or learning to classify Spans. Top-level programs for conducting learning experiments and training, testing and applying {@link edu.cmu.minorthird.text.Annotator}s can be found in the {@link edu.cmu.minorthird.ui} package. (The {@link edu.cmu.minorthird.ui.Help} class is a main program that, when invoked, lists the relevant main methods.)
Under the hood, learning is performed using classes from inside the {@link edu.cmu.minorthird.classify} package. A {@link edu.cmu.minorthird.classify.ClassifierLearner} learns a {@link edu.cmu.minorthird.classify.Classifier} from a set of labeled {@link edu.cmu.minorthird.classify.Example}s, usually stored in a {@link edu.cmu.minorthird.classify.Dataset}. Several sequential classification algorithms are also implemented in the package {@link edu.cmu.minorthird.classify.sequential}. The classify package is independent of the {@link edu.cmu.minorthird.text} package, but linked to it by the routines in {@link edu.cmu.minorthird.text.learn}. Most importantly, the {@link edu.cmu.minorthird.text.learn.SpanFE} package implements what is essentially a small feature extraction sub-language, embedded in Java, which makes it possible to easily generate a wide variety of features of a document, token, or Span. This language is even more powerful because it can base features on annotations stored in {@link edu.cmu.minorthird.text.TextLabels} that are associated with the Span.


{% extends 'home/layout.html' %} {% block title %} Purchase result {% endblock %} {% block content %}
Your purchase was successful! You will find the tickets in your reserved area.
Something went wrong! {{ error }}
{% if not_available_seats|length > 0 %}These seats are not available anymore:
Go back to the seat selection page
{% endif %}


Centroid data¶
IRISreader contains functionality to access the 53 Mg II k centroids that were found by the study
The centroids were created in a semi-supervised way to provide a dictionary for the different observed solar flare physics in the Mg II k line.
IRISreader provides functions to assign these centroids to arbitrary observations containing the Mg II k line window.
irisreader.data.mg2k_centroids.get_mg2k_centroids¶
-
irisreader.data.mg2k_centroids.
get_mg2k_centroids
(bins=216)[source]¶ Returns Mg II k centroids found in the study ‘Identifying typical Mg II flare spectra using machine learning’, by B. Panos et. al. 2018.
The data contains 53 centroids with 216 wavelength bins between LAMBDA_MIN = 2793.8500976562500 and LAMBDA_MAX = 2799.3239974882454.
In order to assign an observed spectrum to a centroid, it has to be interpolated, normalized by dividing it through its maximum and then a 1-nearest neighbour method has to be used.
Interpolation on a raster_cube instance:
raster_image = raster.get_interpolated_image_step( step = <step>, lambda_min = LAMBDA_MIN, lambda_max = LAMBDA_MAX, n_breaks = 216 )
Normalization:
raster_image /= np.max( raster_image, axis=1 ).reshape(-1,1)
Nearest neighbour assignment:
from sklearn.neighbors import NearestCentroid knc = NearestCentroid() knc.fit( X=centroids, y=list( range( centroids.shape[0] ) ) ) assigned_centroids = knc.predict( raster_image )
- Parameters
bins (int) – Number of bins to interpolate to (defaults to 216)
- Returns
array with shape (216, 53)
- Return type
mg2k_centroids
irisreader.data.mg2k_centroids.assign_mg2k_centroids¶
-
irisreader.data.mg2k_centroids.
assign_mg2k_centroids
(X, centroids=None)[source]¶ Assigns Mg II k centroids found in the study ‘Identifying typical Mg II flare spectra using machine learning’, by B. Panos et. al. 2018 to the Mg II k spectra supplied in X. The centroids are assigned using a nearest neighbour procedure.
The spectra in X have to be interpolated to 216 wavelength bins between LAMBDA_MIN = 2793.8500976562500 and LAMBDA_MAX = 2799.3239974882454. For example:
X = raster.get_interpolated_image_step( step = <step>, lambda_min = LAMBDA_MIN, lambda_max = LAMBDA_MAX, n_breaks = 216 )
- Parameters
X (numpy.array) – interpolated raster image of shape (_,bins)
centroids (numpy.array) – If None, the centroids defined in the above study will be used, otherwise an array of shape (n_centroids, n_bins) should be passed. Important: both the spectra in ‘X’ and in ‘centroids’ should be constrained to the same wavelength region!
- Returns
numpy vector with shape (X.shape[1],)
- Return type
assigned_mg2k_centroids
irisreader.data.mg2k_centroids.normalize¶
irisreader.data.mg2k_centroids.interpolate¶
-
irisreader.data.mg2k_centroids.
interpolate
(raster, step, bins=216, lambda_min=2793.85009765625, lambda_max=2799.3239974882454)[source]¶ Returns an interpolated image step from the raster.
- Parameters
raster (irisreader.raster_cube) – raster_cube instance
step (int) – image step in the raster
bins (int) – number of bins to interpolate to (defaults to 216)
lambda_min (float) – wavelength value where interpolation should start
lambda_max (float) – wavelength value where interpolation should stop
- Returns
numpy vector with shape (X.shape[1],)
- Return type
assigned_mg2k_centroids
irisreader.data.mg2k_centroids.get_mg2k_centroid_table¶
-
irisreader.data.mg2k_centroids.
get_mg2k_centroid_table
(obs, centroids=None, lambda_min=2793.85009765625, lambda_max=2799.3239974882454, crop_raster=False)[source]¶ Returns a data frame with centroid counts for each raster image of a given observation.
- Parameters
obs_path (str) – Path to observation
centroids (numpy.array) – if None, the centroids defined in the above study will be used, otherwise an array of shape (n_centroids, n_bins) should be passed
lambda_min (float) – wavelength value where interpolation should start
lambda_max (float) – wavelength value where interpolation should stop
crop_raster (bool) – Whether to crop raster before assigning centroids. If set to False, spectra which are -200 everywhere will be assigned to centroid 51 and spectra that are for some part -200 will be assigned to the nearest centroid.
- Returns
centroids_df (pd.DataFrame) – Data frame with image ids and assigned centroids
assigned_centroids (list) – List with array of assigned centroids for every raster image


Edwards named in new look French coaching team
Montgesty - Wales' former defence coach Shaun Edwards was named by new France coach Fabien Galthie as an integral part of his new look staff on Wednesday.
The 53-year-old, who won 36 caps for Great Britain as a rugby league player, was involved in the Wales set-up following the appointment of Warren Gatland as head coach in 2007.
Speaking in stumbling French at the announcement in Galthie's home village, Edwards said France, who were edged 20-19 by Wales in the quarter-finals, had made "great progress" at the World Cup in Japan.
"We expected France to play from everywhere and our plan was to suffocate them," Edwards told reporters.
"But it was France who suffocated us. You did to us what we wanted to do to you. It was a surprise.
"The French have a great attitude because there is a lot of ability."
Edwards appeared to be on the verge of return to rugby league with Wigan Warriors until he made a u-turn in April at which point he seemed likely to stay on after the World Cup with Wales when new head coach Wayne Pivac took over from Gatland.
Galthie, who has inherited the role of coach from Jacques Brunel, also confirmed former France captain Raphael Ibanez, who played under Edwards when the Englishman was coaching Wasps, as the general manager of the team.
Laurent Labit, who has coached Castres and Racing 92 to the Top 14 title, is the attack coach while former France hooker William Servat is also included.
Galthie and his team are charged with leading France through the next four years to the next World Cup which will be held on home soil in 2023.
"The endgame is to become again a major nation in world rugby, to win matches and win titles so we can be in the top three in the world," said Galthie.
Their first test will be against England in Paris in the Six Nations on February 2.


orderly
is a package designed to help make analysis more reproducible. Its principal aim is to automate a series of basic steps in the process of writing analyses, making it easy to:
With orderly
we have two main hopes:
orderly
requires a few conventions around organisation of a project, and after that tries to keep out of your way. However, these requirements are designed to make collaborative development with git easier by minimising conflicts and making backup easier by using an append-only storage system.
One often-touted goal of R over point-and-click analyses packages is that if an analysis is scripted it is more reproducible. However, essentially all analyses depend on external resources - packages, data, code, and R itself; any change in these external resources might change the results. Preventing such changes in external resources is not always possible, but tracking changes should be straightforward - all we need to know is what is being used.
For example, while reproducible research has become synonymous with literate programming this approach often increases the number of external resources. A typical knitr
document will depend on:
.Rmd
or .Rnw
)source
The orderly
package helps by
The core problem is that analyses have no general interface. Consider in contrast the role that functions take in programming. All functions have a set of arguments (inputs) and a return value (outputs). With orderly
, we borrow this idea, and each piece of analysis will require that the user describes what is needed and what will be produced.
The user describes the inputs of their analysis, including:
The user also provides a list of “artefacts” (file-based results) that they will produce.
Then orderly
:
It then stores metadata alongside the analysis including hashes of all inputs and outputs, copies of data extracted from the database, a record of all R packages loaded at the end of the session, and (if using git) information about the git state (hash, branch and status).
Then if one of the dependencies of a report changes (the used data, code, etc), we have metadata that can be queried to identify the likely source of the change.
To illustrate, we will start with a minimal example (you can use orderly::orderly_init
to create a similar structure directly), and we will build it up to demonstrate orderly
features. In the most minimal example, we want to run a script that creates a graph. It uses no external resources.
.
├── orderly_config.yml
└── src
└── example
├── orderly.yml
└── script.R
In this example, the orderly_config.yml
file is completely empty, but serves to mark the root of the orderly
project. We have one report, called example
, and its configuration is within orderly.yml
:
script: script.R
artefacts:
- staticgraph:
description: A graph of things
filenames: mygraph.png
- data:
description: Data that went into the plot
filenames: mydata.csv
There are two keys here:
script
the path of the script to run, script.R
artefacts
a description of the artefacts (files) that will be produced by running this script. In this case it is a graph with the filename mygraph.png
The script is plain R code:
dat <- data.frame(x = 1:10, y = runif(10))
write.csv(dat, "mydata.csv", row.names = FALSE)
png("mygraph.png")
plot(dat)
dev.off()
The R code can be as long or as short as needed and can use whatever packages it needs. orderly
does not do anything with the script apart from run it so it can be formatted freely (there are no magic comments, etc). There are no restrictions on what can be done except that it must produce the artefacts listed in orderly.yml
. If not, an error will be thrown describing what was missing.
To run the report, use orderly::orderly_run
(typically one would be in the orderly
root and so the root
directory could be omitted, but within this vignette we use a temporary directory):
## [ info ] Writing initial orderly archive version as 1.1.25
## [ name ] example
## [ id ] 20210922-102118-4ac4205f
## [ start ] 2021-09-22 10:21:18
##
## > dat <- data.frame(x = 1:10, y = runif(10))
##
## > write.csv(dat, "mydata.csv", row.names = FALSE)
##
## > png("mygraph.png")
##
## > plot(dat)
##
## > dev.off()
## png
## 2
## [ end ] 2021-09-22 10:21:18
## [ elapsed ] Ran report in 0.007956743 secs
## [ artefact ] mygraph.png: 8251395b460d4ce91430350740b2fa2a
## [ ... ] mydata.csv: 8354220c49f0bec2665684bc288f52ca
The return value is the id of the report (also printed on the third line of log output) and is always in the format YYYYMMDD-HHMMSS-abcdef01
where the last 8 characters are hex digits (i.e., 4 random bytes). This means reports will automatically sort nicely but we’ll have some collision resistance.
## [1] "20210922-102118-4ac4205f"
Having run the report, the directory layout now looks like:
.
├── archive
├── draft
│ └── example
│ └── 20210922-102118-4ac4205f
│ ├── mydata.csv
│ ├── mygraph.png
│ ├── orderly.yml
│ ├── orderly_run.rds
│ └── script.R
├── orderly_config.yml
└── src
└── example
├── orderly.yml
└── script.R
Within drafts
, the directory example/20210922-102118-4ac4205f
has been created which contains the result of running the report. In here there are the files:
orderly.yml
: this is an exact copy of the input filescript.R
: this is an exact copy of the script used for the analysismygraph.png
: the artefact created by the reportorderly_run.rds
: this is metadata about the run and includes hashes of input files, of the data used, and of the output etc, along with details about the packages used and the state of git. It is stored in R’s internal data format.Every time a report is run it will create a new directory at this level with a new id. Running the report again now might create the directory example/20210922-102118-54093492
We store the copies of files as run by orderly
so that even if the input files change we can still easily get back to previous versions of the inputs, alongside the outputs, and these are safe from any changes to the underlying source.
You can see the list of draft reports like so:
## name id
## 1 example 20210922-102118-4ac4205f
Once you’re happy with a report, then “commit” it with
orderly::orderly_commit(id, root = path)
## [ commit ] example/20210922-102118-4ac4205f
## [ copy ]
## [ import ] example:20210922-102118-4ac4205f
## [ success ] :)
## [1] "/tmp/RtmpLyoPhu/file3f3d1246f4a2c/archive/example/20210922-102118-4ac4205f"
After this step our directory structure looks like:
.
├── archive
│ └── example
│ └── 20210922-102118-4ac4205f
│ ├── mydata.csv
│ ├── mygraph.png
│ ├── orderly.yml
│ ├── orderly_run.rds
│ └── script.R
├── draft
│ └── example
├── orderly.sqlite
├── orderly_config.yml
└── src
└── example
├── orderly.yml
└── script.R
This looks very like the previous, but files have been moved from being within draft
to being within archive
. The other difference is that the index orderly.sqlite
has been created. This is a machine-readable index to all the orderly
metadata that can be used to build applications around orderly
(for example OrderlyWeb, a web portal for orderly
- see the “remotes” vignette). The documentation for the database format is available on the orderly
website.
First, run orderly::orderly_new
to create a directory within src
. The name is important and should not contain spaces (nor should it change as this will change the key report id and you’ll lose a chain of history), then edit the file orderly.yml
within that directory.
## Created report at '/tmp/RtmpLyoPhu/file3f3d1246f4a2c/src/new'
## Edit the file 'orderly.yml' within this directory
which results in a directory structure like:
.
├── archive
│ └── example
│ └── 20210922-102118-4ac4205f
│ ├── mydata.csv
│ ├── mygraph.png
│ ├── orderly.yml
│ ├── orderly_run.rds
│ └── script.R
├── draft
│ └── example
├── orderly.sqlite
├── orderly_config.yml
└── src
├── example
│ ├── orderly.yml
│ └── script.R
└── new
└── orderly.yml
Resources to a report are expected to be read-only files that are used by the script to produce the report. Examples of the sort of files that should be used as resources are:
“Resources” cannot be modified by the report; if orderly
detects that a resource has been changed an error will be thrown.
orderly
will automatically detect any files named README.md
in a report’s source directory and copy them to the new directory too.
“Sources” are files containing R code that will be sourced (via the R function source()
) before the main script is run. Often this file contains functions or variables used by the main script. All of the copying and sourcing will be handled by orderly
itself so there is no need to explicitly source the files in the main script.
“Artefacts” are the output of the report. At least one artefact must be listed and files created during the running of the script must be included as artefacts (or deleted before the script finishes) or an error will be returned.
Examples of artefacts fields in orderly.yml
:
artefacts:
- report:
filenames: report.html
description: a simple report
- data:
description:
- associated data sets
filenames:
- data_one.csv
- data_two.csv
- data_three.csv
- data_four.csv
When declaring an artefact we have to specify what format the artefact is. Currently supported formats are :data
, report
, staticgraph
, interactivegraph
and interactivehtml
. These tags reflect the intent of use of the file, they have no special meaning within orderly
itself.
It is often the case that we would like to write a report that depends on an earlier report, e.g. one report produces a large dataset and a later report produces a high level summary. orderly
allows a report to directly copy an artefact file from an existing report without having to manually copy it into the report source directory. This is handled in the depends
block of the report’s orderly.yml
.
To use a file as a dependency it must be explicitly listed as an artefact.
An simple example might look like:
This will copy the file the huge-data-set.rds
from the report big-data-report
with id
20190425-163691-b8451bbf
and rename it data.rds
. This file can then be used by the report as if it were in the source directory.
If we want a report to always use the latest version of a report big-data-report
we can set the id
field to latest
, e.g.:
This will find the most recent version of the report big-data-report
and copy files from that directory.
To use multiple artefacts from a single report add the files into the use
block e.g.:
depends:
- big-data-report:
id: latest
use:
data.rds: huge-data-set.rds
pop.csv: population_data.csv
To use artefacts from multiple reports we add multiple entries to the depends
field e.g.:
depends:
- big-data-report:
id: latest
use:
data.rds: huge-data-set.rds
pop.csv: population_data.csv
- report_two:
id: latest
use:
data_b.rds: filename.rds
We can also use the same artefact from different versions of the same report. This might come up if we want to write a report that compares the output from different versions of another report. The yaml pattern for this is:
depends:
- big-data-report:
id: 20190425-163691-b8451bbf
use:
data_latest.rds: huge-data-set.rds
- big-data-report:
id: 20181225-172991-34c91ef1
use:
data_old: huge-data-set.rds
The important feature in this example is the dashes before the report name. When all the report names are different these dashes can be omitted, but they are necessary when the report depends on different versions of the same report. Since including the dashes will never cause a problem but omitting them might, we advise that they should always be included.
Sometimes it can be useful to control how a report runs by a parameter. This could be the name of a country that an analysis applies to (though we hope to develop a better interface for this soon) through to controlling the number of iterations that an analysis runs for. Parameters are declared in the orderly.yml
like:
This would declare that a report takes two parameters a
(with a default of 1), and b
(with no default). Running the report would then look like:
These parameters are then present in the environment of the report, so the code can use values a
and b
.
The parameters will also be interpolated into any SQL queries before they are run, so if the orderly.yml
contains:
then this will be evaluated on the SQL server with a
substituted in where the query says ?a
(this is done with DBI::sqlInterpolate
).
There might be files that are used in (almost) every report. Examples of these sorts of files might be document templates or organisation logos. To set up a global resource create a directory your_global_dir
in <root>
and the following to the orderly_config.yml
:
Then to use any file in your_global_dir
in your report add a global_resources
field to that report’s orderly.yml
:
global_resources:
logo.jpg: org_logo.jpg
latex_class.cls: org_latex_class.cls
styles.css: org_styles.css
Currently code i.e. R source code cannot be sourced from the global resources directory. So for example utility functions common across multiple reports must be included in each report directory separately. The functionality to include global source code may be added in future versions.
orderly
is designed to work well with git (or any other version control system). The general principle is that src/
and any configuration files should be added to git, while most of the generated files (data
, draft
, archive
, and any SQLite databases such as orderly.sqlite
) should be excluded, which can be done by creating a .gitignore
file.
This process can be automated by running
## Changes to '/tmp/RtmpLyoPhu/file3f3d1246f4a2c/.gitignore'
## + 1 | # These are directories where orderly stores (potentially large)
## + 2 | # generated files - you definitely do not want these in git.
## + 3 | data
## + 4 | archive
## + 5 | draft
## + 6 | metadata
## + 7 |
## + 8 | # Orderly will store data in a sqlite database, by default orderly.sqlite
## + 9 | *.sqlite
## + 10 |
## + 11 | # It is suggested to use environment variables, in either
## + 12 | # orderly_envir.yml or .Renviron to store sensitive data to use with
## + 13 | # orderly - keep those out of git
## + 14 | .Renviron
## + 15 | orderly_envir.yml
## + 16 |
## + 17 | # Other good things to exclude
## + 18 | .Rhistory
## + 19 | .Rdata
## + 20 | .Rproj.user
## + 21 |
## + 22 | # Created by orderly.server
## + 23 | runner
## + 24 | backup
## Writing to '/tmp/RtmpLyoPhu/file3f3d1246f4a2c/.gitignore'
(the default, prompt = TRUE
will request user confirmation before writing the .gitignore
file).
You should arrange to back up the entire orderly directory through some other means.
If your generated files are particularly small you might leave them in git, but in our experience this will result in a git repository that is unpleasant to use.
One of the original aims of orderly
was to provide a set of tools for use of SQL databases within reproducible reporting. Because the SQL database is an external global resource it is difficult to work with any concept of “versioning” from R (there is no git history, no way of easily rolling back to previous versions etc). If using a central SQL server, there is configuration that should be kept out of any analysis, particularly things like passwords. Configuration problems multiply when using both “production” and “staging” systems as we would like to be able to switch between different configurations.
The root orderly_config.yml
configuration specifies the locations of databases (there can be any number), for example:
database:
source:
driver: RPostgres::Postgres
args:
host: dbhost.example.org
port: 5432
user: myusername
password: s3cret
dbname: mydb
This database will be referred to elsewhere as source
and it will be connected with the RPostgres::Postgres
driver (from the RPostgres package). Arguments within the args
block will be passed to the driver, in this case being the equivalent of:
DBI::dbConnect(RPostgres::Postgres, host = "dbhost.example.org", port = 5432,
user = "myusername", password = "s3cret", dbname = "mydb")
The values used in the args
blocks can be environment values (e.g., password: $DB_PASSWORD
) in which case they will be resolved from the environment before connecting. This will be useful for keeping secrets out of source control.
For SQLite databases, the args
block will typically contain only dbname
which is the path to the database file.
A report configuration (orderly.yml
) can contain a data
block, which contains sql queries, such as:
In this case, the query SELECT * FROM mtcars WHERE cyl = 4
will be run against the source
database to create an object cars
in the report environment. The actual report code can use that object without having ever created the database connection or evaluating the query.
Further, the data used in the query will be captured in orderly
’s data
directory, and hashes of the data will be stored alongside the results. This means that even if the data in the database is a constantly moving target we can still detect if changes to the data are responsible for changes in the result of a report.
If you need to perform complicated SQL queries, then you can export the database connection directly by adding a block:
which will save the connection to the source
database as the R object con
. We have used this where a report requires running queries in a loop that depend on the results of a previous query or additional data loaded into a report, or where the result of the query will be very large and we do not want to save it to disk.
Note that this reduces the amount of tracking that orderly
can do, as we have no way of knowing what is done with the connection once passed to the script.
The contents of orderly_config.yml
may contain things like secrets (passwords) or hostnames that vary depending on deployment (e.g., testing locally vs running on a remote system). To customise this, you can use environment variables within the configuration. So rather than writing
database:
source:
driver: RPostgres::Postgres
args:
host: localhost
port: 5432
user: myuser
dbname: databasename
password: p4ssw0rd
you might write
database:
source:
driver: RPostgres::Postgres
args:
host: $MY_DBHOST
port: $MY_DBPORT
user: $MY_DBUSER
dbname: $MY_DBNAME
password: $MY_PASSWORD
environment variables, as used this way must begin with a dollar sign and consist only of uppercase letters, numbers and the underscore character. You can then set the environment variables in an .Renviron
(either within the project or in your home directory) file or your .profile
file. Alternatively, you can create a file orderly_envir.yml
in the same directory as orderly_config.yml
with key-value pairs, such as
MY_DBHOST: localhost
MY_DBPORT: 5432
MY_DBUSER: myuser
MY_DBNAME: databasename
MY_PASSWORD: p4ssw0rd
This will be read every time that orderly_config.yml
is read (in contrast with .Renviron
which is read-only at the start of a session). This will likely be more pleasant to work with.
The advantage of using environment variables is that you can add the orderly_envir.yml
file to your .gitignore
and avoid committing system-dependent data to the central repository (see orderly::orderly_use_gitignore
) to help automate this.
To avoid leaving passwords in plain text, you can use vault
(along with the R client vaultr
) to retrieve them.
To do this, you should include the address of your vault server in the orderly_config.yml
as
Then, for values that you want to retrieve from the vault, set the value of the field to VAULT:<path>:<field>
, where <path>
is the name of a vault secret path (probably beginning with /secret/
and field
is the name of the field at that path. So, for example:
would look up the field password
at the path /secret/users/database_user
. This can be stored in orderly_config.yml
, in the contents of an environment variable or in orderly_envir.yml
(currently this only uses the vault version 1 key-value storage)
If you need to control how the vault server is accessed, then you can pass additional arguments within an args
block:
vault:
addr: https://example.com:8200
login: userpass
username: alice
password: secret
mount: userpass
This is equivalent to connecting to the vault, using vaultr
as
vaultr::vault_client(addr = "https://example.com:8200", login = "userpass",
username = "alice", password = "secret",
mount = "userpass")
Environment variables here will be respected so you could write:
vault:
addr: https://example.com:8200
login: userpass
username: $VAULT_USER
password: $VAULT_PASSWORD
and the username and password will be found from environment variables (the actual secret resolution uses vaultr::vault_resolve_secrets
- see the documentation in vaultr
for further details).
In general, you can ignore this section if you only use one global database.
The above approach can be used to switch databases by using different environmental variables, but that can become tiresome. If you have multiple database “instances” corresponding to different realisations of the same logical database (e.g., production and staging), then you can configure and switch between these directly from orderly
commands. At VIMC we have several copies of our main database: one called production
, which is the canonical copy, and then several staging
copies that we use for experimentation.
To configure this situation, list common arguments within the args
block as before, then add logical databases as named entries in an instances
field:
database:
source:
driver: RPostgres::Postgres
args:
port: 5432
user: user
dbname: mydb
instances:
production:
host: production.example.org
password: $PASSWORD_PRODUCTION
staging:
host: staging.example.org
password: $PASSWORD_STAGING
default_instance: $DEFAULT_INSTANCE
Here - staging and production have different hostnames (production.example.org
and staging.example.org
) and different passwords (retrieved using environment variables) and the default instance is set with another environment variable ($DEFAULT_INSTANCE
, which must be one of production
or staging
). To switch between databases, you can set that variable, or pass the instance
argument to orderly::orderly_run
and friends, as:
or
If there is more than one database configured, then the interpretation of instance
is a little more nuanced. For example, suppose we have this (abridged) database configuration:
database:
source:
driver: RPostgres::Postgres
args:
port: 5432
instances:
production:
host: production.example.org
staging:
host: staging.example.org
default_instance: staging
extra:
driver: RPostgres::Postgres
args:
port: 5432
host: extra.example.org
Then we can pass in a string like production
in as the instance, e.g.,
orderly::orderly_run(name, instance = "production")
as the source
database will select the production
instance and as there are no instances configured for the extra
database we will ignore the argument when connecting to extra
.
However, if both databases had two instances, such as:
database:
source:
driver: RPostgres::Postgres
args:
port: 5432
instances:
production:
host: production.example.org
staging:
host: staging.example.org
default_instance: staging
extra:
driver: RPostgres::Postgres
args:
port: 15432
instances:
production:
host: production.example.org
staging:
host: staging.example.org
default_instance: staging
Then it is possible to select different instances for each database, such as:
orderly::orderly_run(name,
instance = c(source = "production", extra = "staging"))
Environment variables declared in orderly.yml
are made available in the report script (since orderly 1.1.11). For example, if your orderly.yml
contains
Then orderly will evaluate the variables and make them available in your script via the specified name. For example in your script you can use
The expected use case for this is if you have data which you want to use in a report but do not want to be in the orderly repository (either because it is sensitive or particularly large). You can have the external files somewhere else on your machine and specify the path to them via an environment variable so they can then be accessed from the report script.
Environment variables can also be used in top-level orderly_envir.yml
(since orderly 1.1.6) which can be accessed via Sys.getenv()
. For example, if your orderly_envir.yml
contains
Then in your script you can use
If the values are sensitive, then this is not ideal, as you will store your values in plain text in the orderly_envir.yml
. Instead, if using vault, you can use a secrets:
section in orderly.yml
, like:
and then an R variable password
will be available to all the code in your report, containing the result of looking up /secret/myproject/login
in your vault and getting the value
field.
Because orderly works in a directory that is not the same as the source directory (e.g., draft/myreport/YYYYMMDD-HHMMSS-abcdefgh
), because global resources and dependencies etc are copied in just as it is used, and because orderly
takes control of things like parameters and sourcing files, it may not seem straightforward to develop a report as you would ordinarily.
In order to make this easier, orderly has a set of functions to help develop a report within the source directory. These functions are:
orderly::orderly_develop_start
which copies files into your source copyorderly::orderly_develop_status
which reports on the status of your sourceorderly::orderly_develop_clean
which cleans up files that orderly copiedThis section illustrates the idea, creating a new report that will depend on an artefact from a previous report. Here is the state of our orderly tree from before:
.
├── archive
│ └── example
│ └── 20210922-102118-4ac4205f
│ ├── mydata.csv
│ ├── mygraph.png
│ ├── orderly.yml
│ ├── orderly_run.rds
│ └── script.R
├── draft
│ └── example
├── orderly.sqlite
├── orderly_config.yml
└── src
├── example
│ ├── orderly.yml
│ └── script.R
└── new
├── orderly.yml
└── script.R
The new report has an orderly.yml
containing
script: script.R
artefacts:
- staticgraph:
description: Mean of the values
filenames: mean.txt
depends:
example:
id: latest
use:
data.csv: mydata.csv
In order to run this report, we need the file data.csv
(which contains the output mydata.csv
from the latest version of the example
report) to exist. If we wanted to interactively develop the script.R
we’d have to run orderly::orderly_run
repeatedly, which will be annoying - and impractical if the report is slow to run. So we can run instead:
## [ name ] new
## [ depends ] example@20210922-102118-4ac4205f:mydata.csv -> data.csv
which copies in the required artefact and we can then change the directory (using something like setwd("src/new")
) and start working on the report directly.
You can see the status of the directory by running
## filename type present derived
## 1 orderly.yml orderly TRUE FALSE
## 2 script.R script TRUE FALSE
## 3 data.csv dependency TRUE TRUE
## 4 mean.txt artefact FALSE TRUE
(the output of this object is likely to change in future versions), which shows that data.csv
is present, and that it is derived - by which means that orderly knows that it should not persist in the source tree. Files marked as derived
as TRUE
are liable for deletion by orderly::orderly_develop_clean
. The output also shows that mean.txt
is not present.
If you have changed directly into the path under development (via setwd(file.path(path, "src/new"))
) the you can omit the arguments and simply call
## filename type present derived
## 1 orderly.yml orderly TRUE FALSE
## 2 script.R script TRUE FALSE
## 3 data.csv dependency TRUE TRUE
## 4 mean.txt artefact FALSE TRUE
You can then run your script as if it was a normal R script:
##
## > data <- read.csv("data.csv")
##
## > writeLines(as.character(mean(data$y)), "mean.txt")
(the above code assuming that we are within src/new
with the report)
After which the data.csv
is present
## filename type present derived
## 1 orderly.yml orderly TRUE FALSE
## 2 script.R script TRUE FALSE
## 3 data.csv dependency TRUE TRUE
## 4 mean.txt artefact TRUE TRUE
If a newer version of the upstream dependency has become available, you can update the file by running orderly::orderly_develop_start()
again
## [ name ] example
## [ id ] 20210922-102118-82305747
## [ start ] 2021-09-22 10:21:18
##
## > dat <- data.frame(x = 1:10, y = runif(10))
##
## > write.csv(dat, "mydata.csv", row.names = FALSE)
##
## > png("mygraph.png")
##
## > plot(dat)
##
## > dev.off()
## png
## 2
## [ end ] 2021-09-22 10:21:18
## [ elapsed ] Ran report in 0.006860733 secs
## [ artefact ] mygraph.png: 55c33b992b51a441675f8d29d7637ae4
## [ ... ] mydata.csv: cf2749f51ddc331368c20bd9ed659916
## [ commit ] example/20210922-102118-82305747
## [ copy ]
## [ import ] example:20210922-102118-82305747
## [ success ] :)
## [1] "/tmp/RtmpLyoPhu/file3f3d1246f4a2c/archive/example/20210922-102118-82305747"
## [ name ] new
## [ depends ] example@20210922-102118-82305747:mydata.csv -> data.csv
(note that this has updated data.csv
to use this new id 20210922-102118-82305747).
Finally, you can delete the files that orderly has copied into the source tree:
orderly::orderly_develop_clean()
## [ remove ] data.csv
## [ ... ] mean.txt
orderly::orderly_develop_status()
## filename type present derived
## 1 orderly.yml orderly TRUE FALSE
## 2 script.R script TRUE FALSE
## 3 data.csv dependency FALSE TRUE
## 4 mean.txt artefact FALSE TRUE
(this function also accepts name
and root
as above, required if not working in the source directory)


Uses of Package
jakarta.nosql.mapping
-
Packages that use jakarta.nosql.mapping Package Description jakarta.nosql.mapping This package contains all comuns API to artemis.jakarta.nosql.mapping.column This package contains all objects to use a Column Family API.jakarta.nosql.mapping.document This package contains all objects to use a Document Collection.jakarta.nosql.mapping.keyvalue This package contains all Id-value domain API.jakarta.nosql.mapping.reflection This package contains all reflections utils, the mapping of Field and class and also the extension to load all entity. -
Classes in jakarta.nosql.mapping used by jakarta.nosql.mapping Class Description AttributeConverter A class that implements this interface can be used to convert entity attribute state into database column representation and back again.DatabaseType Defines the database type supported on Artemis.IdNotFoundException When The Entity is converted to communication layer, this entity must have a field withId
annotation.MappingException The root exception to Mapping layerPage A page is a fixed-length contiguous block of entities from the database.Pagination Pagination is the process of separating print or digital content into discrete pages.Pagination.PaginationBuilder The builder ofPagination
PreparedStatement An object that represents a precompiled Query statement.Sorts This instance represents a group of one or moreSort
instances. -
Classes in jakarta.nosql.mapping used by jakarta.nosql.mapping.column Class Description Page A page is a fixed-length contiguous block of entities from the database.Pagination Pagination is the process of separating print or digital content into discrete pages.PreparedStatement An object that represents a precompiled Query statement.Repository Interface to generic CRUD operations on a repository for a specific type. -
Classes in jakarta.nosql.mapping used by jakarta.nosql.mapping.document Class Description Page A page is a fixed-length contiguous block of entities from the database.Pagination Pagination is the process of separating print or digital content into discrete pages.PreparedStatement An object that represents a precompiled Query statement.Repository Interface to generic CRUD operations on a repository for a specific type. -
Classes in jakarta.nosql.mapping used by jakarta.nosql.mapping.keyvalue Class Description PreparedStatement An object that represents a precompiled Query statement.Repository Interface to generic CRUD operations on a repository for a specific type. -
Classes in jakarta.nosql.mapping used by jakarta.nosql.mapping.reflection Class Description AttributeConverter A class that implements this interface can be used to convert entity attribute state into database column representation and back again.MappingException The root exception to Mapping layer


@* * 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 uk.gov.hmrc.govukfrontend.views.html.components.implicits._ @import uk.gov.hmrc.govukfrontend.views.html.components._ @import models.propertyrepresentation.AgentAppointmentChangesRequest @import models.propertyrepresentation.AgentSummary @import config.ApplicationConfig @import models.propertyrepresentation.AppointmentScope.ALL_PROPERTIES @import views.html.propertyrepresentation.revokedAgentPrivileges @this(revokedAgentPrivilegesView: revokedAgentPrivileges, govukErrorSummary : GovukErrorSummary, govukButton : GovukButton, mainLayout: views.html.mainLayout, formWithCSRF: FormWithCSRF) @(form: Form[AgentAppointmentChangesRequest], agent: AgentSummary, backLink: String)(implicit request: Request[_], messages: Messages, config: ApplicationConfig) @title = @{messages("propertyRepresentation.manageAgent.unassignFromProperty.question", agent.name)} @mainLayout( pageTitle = title, backUri = Some(backLink), hasErrors = form.hasErrors ) { @if(form.errors.nonEmpty) { @govukErrorSummary(ErrorSummary(errorList = form.errors.asTextErrorLinks, title = Text(messages("error.propertyRepresentation.title")))) } @if(config.agentListYears) {
}@messages("propertyRepresentation.manageAgent.unassignFromProperty.p1")
@revokedAgentPrivilegesView() @formWithCSRF(action = controllers.agent.routes.ManageAgentController.unassignAgentFromAll(agent.representativeCode, agent.name)) { } }


There are several XML wrapper libraries available for JavaScript that use
native XML objects (like XMLHttpRequest
) to parse XML and provide
DOM access to the underlying document. This library is designed to provide
identical functionality on both the client and server sides for parsing,
manipulating, and emitting XML documents.
<script src="js/pjxml.js"></script> . . . var doc = pjXML.parse('<root>Hello, XML.</root>');


|
My Project
|
#include <tetris-shapes.hpp>
Public Member Functions | |
| O_shape (hwlib::xy s=hwlib::xy(48, 14), uint8_t color=YELLOW) | |
| constructor More... | |
| bool | can_rotate_clkwise (matrix::P3_RGB_LED_matrix &b) override |
| checks if tetromino can rotate clockwise More... | |
| bool | can_rotate_ctr_clkwise (matrix::P3_RGB_LED_matrix &b) override |
| checks if tetromino can rotate counter-clockwise More... | |
| void | rotate_clkwise (hwlib::window &w) override |
| rotates tetromino clockwise More... | |
| void | rotate_ctr_clkwise (hwlib::window &w) override |
| rotates tetromino counter-clockwise More... | |
| Public Member Functions inherited from tetris::Tetromino | |
| Tetromino (hwlib::xy anchor_start, hwlib::xy b1_start, hwlib::xy b2_start, hwlib::xy b3_start, uint8_t col) | |
| constructor from explicit values More... | |
| void | reset () |
| resets coordinate values More... | |
| void | draw (hwlib::window &w) override |
| writes to the window More... | |
| void | forget (hwlib::window &w) |
| removes tetromino's More... | |
| bool | can_line_clear (matrix::P3_RGB_LED_matrix &b) |
| checks for filled rows More... | |
| void | update (hwlib::window &w) |
| updates the xy coordinates More... | |
| void | move_down (hwlib::window &w) |
| moves tetromino down More... | |
| void | move_left (hwlib::window &w) |
| moves tetromino to the left More... | |
| void | move_right (hwlib::window &w) |
| moves tetromino to the right More... | |
| bool | can_move_down (matrix::P3_RGB_LED_matrix &b) |
| checks if tetromino can move down More... | |
| bool | can_move_left (matrix::P3_RGB_LED_matrix &b) |
| checks if tetromino can move to the left More... | |
| bool | can_move_right (matrix::P3_RGB_LED_matrix &b) |
| checks if tetromino can move to the right More... | |
| uint8_t | get_color () |
| returns color value More... | |
Additional Inherited Members | |
| Public Attributes inherited from tetris::Tetromino | |
| hwlib::xy | anchor_end |
| hwlib::xy | b1_start |
| hwlib::xy | b1_end |
| hwlib::xy | b2_start |
| hwlib::xy | b2_end |
| hwlib::xy | b3_start |
| hwlib::xy | b3_end |
| hwlib::xy | speed |
O_shape class.
This class inherits from Tetromino and creates the so-called O-shape as can be found here: https://en.wikipedia.org/wiki/Tetromino
|
inline |
constructor
This constructor initializes its superclass with set values using a starting position. The starting position should be the left-most pixel of your shape.
|
inlineoverridevirtual |
checks if tetromino can rotate clockwise
This member function looks in the buffer to see if the tetromino is eligible for clockwise rotation. In order for a tetromino to be able to rotate all new positions of the tetromino must not be occupied by another drawable.
Reimplemented from tetris::Tetromino.
|
inlineoverridevirtual |
checks if tetromino can rotate counter-clockwise
This member function looks in the buffer to see if the tetromino is eligible for counter-clockwise rotation. In order for a tetromino to be able to rotate all new positions of the tetromino must not be occupied by another drawable.
Reimplemented from tetris::Tetromino.
|
inlineoverridevirtual |
rotates tetromino clockwise
This member function rotates the tetromino clockwise using given window. Old position is forgotten from the window before new position is calculated. After calculating new positions, the tetromino is drawn into the window again.
Reimplemented from tetris::Tetromino.
|
inlineoverridevirtual |
rotates tetromino counter-clockwise
This member function rotates the tetromino counter-clockwise using given window. Old position is forgotten from the window before new position is calculated. After calculating new positions, the tetromino is drawn into the window again.
Reimplemented from tetris::Tetromino.


Detect a blocked port
Here is a standard trace on port 80:
$ tracetcp www.ebay.co.uk
Tracing route to <IP_ADDRESS> [www.ebay.co.uk] on port 80
Over a maximum of 30 hops.
1 1 ms 1 ms 2 ms <IP_ADDRESS> [wintermute]
2 10 ms 9 ms 11 ms <IP_ADDRESS>
3 10 ms 11 ms 8 ms <IP_ADDRESS> [gsr01-so.blueyonder.co.uk]
4 10 ms 9 ms 10 ms <IP_ADDRESS>
5 14 ms 13 ms 14 ms <IP_ADDRESS>
6 12 ms 13 ms 14 ms <IP_ADDRESS> [tele2-witt-pos.telewest.net]
7 12 ms 12 ms 14 ms <IP_ADDRESS> [zcr1-so-5-0-0.Londonlnt.cw.net]
8 182 ms 164 ms 164 ms <IP_ADDRESS> [dcr2-loopback.SantaClara.cw.net]
9 163 ms 163 ms 164 ms <IP_ADDRESS> [bhr1-pos-0-0.SantaClarasc8.cw.net]
10 165 ms 165 ms 167 ms <IP_ADDRESS> [csr1-ve243.SantaClarasc8.cw.net]
11 165 ms 165 ms 164 ms <IP_ADDRESS>
12 168 ms 169 ms 169 ms <IP_ADDRESS>
13 166 ms 169 ms 171 ms <IP_ADDRESS>
14 * * * Request timed out.
15 Destination Reached in 170 ms. Connection established to <IP_ADDRESS>
Trace Complete.
|
If we do the same trace but this time we use port 135 we can see that it is blocked after hop 2. This block was put in place by my ISP to try to limit the damage being caused by a worm, that spread by exploiting a vulnerability in DCOM.
$ tracetcp www.ebay.co.uk:135
Tracing route to <IP_ADDRESS> [www.ebay.co.uk] on port 135
Over a maximum of 30 hops.
1 1 ms 1 ms 1 ms <IP_ADDRESS> [wintermute]
2 10 ms 13 ms 9 ms <IP_ADDRESS>
3 * * * Request timed out.
4 * * * Request timed out.
5 * * * Request timed out.
6 ... continues until maximum number of hops reached.
|
|


Meu YouBike
Vender
Forum
Contato
Ajuida
Minhas Ofertas
Ola! Entrar ou Codastre-se
Codastre-se
Log In
with
Facebook
OU
Send me Youbike updates and tips
By clicking the button above, you agree to the Terms Of Service
Xiew our Privacy Policy


PORTFOLIO {{name}}
Do you want to logout ?
{{page2}}
STUDENT ID
NAME
VIEW PROFILE
{% for student in page %}
{{student.ID}}
{{student.Name}} {{student.Surname}}
{% endfor %}


rasterbation
`Prev `__
R
`Next `__
--------------
**rasterbation**: n.
[portmanteau: raster + masturbation] The gratuitous use of
computer-generated images and effects in movies and graphic art which
would have been better without them. Especially employed as a term of
abuse by Photoshop/GIMP users and graphic artists.
--------------
+--------------------------------+----------------------------+-----------------------------+
| `Prev `__ | `Up <../R.html>`__ | `Next `__ |
+--------------------------------+----------------------------+-----------------------------+
| raster burn | `Home <../index.html>`__ | rat belt |
+--------------------------------+----------------------------+-----------------------------+


You are supposed to be logged in to see this page. From here you cann call the API by pressing button.
date: {{ctrl.data}}


Happy Birthday Shah Rukh Khan: Fans pour in love and wishes for their superstar on social media
by TIMESOFINDIA.COMShah Rukh Khan has been ruling millions of hearts all over the world for more than three decades now. The has been given the title of 'King of Romance' by his fans.
The superstar has turned a year older today and fans have already gathered outside his house. Gauri Khan had earlier said that the actor will be celebrating his birthday with family by having dinner with them and grand celebration has been planned.
Well, fans have started pouring wishes for their favourite actor over social media. From sharing pictures and videos to posting his dialogues on their social media feed, fans are leaving no stones unturned to celebrate their icon's 54th birthday. The #HappyBirthdaySRK and #HappyBirthdayShahRukhKhan are on the top of the trending list on Twitter.
Here's what the fans are tweeting:


class: center, middle, inverse # Learn yourself a Python for greater good Nelen & Schuurmans in your area. --- # Arjen Developer by day. Poet by night. --- # Ernst Developer by day. Asleep at night. --- # Nelen & Schuurmans https://nxt.lizard.net --- # Outline * Introduction. * Use case. * Data collection. * Analysis. * Presentation. --- # Introduction * Web vs Desktop. * Geojson vs Shapefile. * Programming vs. Software engineering. --- # Python Recently Brian Timoney and James Fee have been writing about how geospatial work is more and more programming and less GUI-driven operations in the ArcGIS mold. They’ve been pointing a lot to Python for this. (Tom Macwright, 2012, http://www.macwright.org/2012/10/31/gis-with-python-shapely-fiona.html) --- # Use case Your colleague from the social studies department wants to know the approximate height of a bunch of cities so he can investigate if there is a correlation between criminal behaviour and living below the sea level. He thinks programming is clicking through wizards in Excel and that a big file means > 10MB. He sends you an Excel spreadsheet with the names of the cities and expects an answer by 17:00 this afternoon. He agreed with the PR & marketing department that they will release a press release next week. --- # Problems ## Your boss gets angry problems * You don't know which and how many cities you need to analyse or re-analyse. * You don't know the geo-location of the cities. * You know your department has access to the latest DEM of The Netherlands (AHN2) but it's too big to load in ArcGIS. --- # Problems ## Your boss didn't expect you to also solve *these* problems * The web guy from the marketing department wants to make an interactive online map and needs the data in Geojson. * Some of the international students heard of the project and inquired if it would be possible to get the difference between the AHN2 and the world DEM they are using so they get a sense of the accuracy of the world DEM.  --- # Problems ## Your boss will suggest you for promotion problems * Additionaly, for each city you give the major land use classes and soil types so the people in the environmental sciences departments. * You not only give the height of each city but also the height along a line between 2 or possibly more cities; height profile graphs. --- # Requirements ```bash pip install requests shapely fiona ``` if you don't have `pip` installed ```bash wget https://bootstrap.pypa.io/get-pip.py python get-pip.py ``` or check: https://pip.pypa.io/en/latest/installing.html --- # Coding tips * Think about code structure: tracer bullet. * Think about your data structures. * Write your code in independent, concise modules. * Unix philosophy: use the right tool for the job. --- ### Data collection #### Required 1. File with names of cities. 2. Find geocoordinate with Google API for each city. 3. Get AHN2 elevation information with Lizard API for each city. #### Bonus 4. Get world DEM elevation information. #### More bonus 5. Get a height profile between two or more cities. 6. Get information about landuse and soil. --- # Analysis 1. Calculate the differences between AHN2 and world DEM. 2. (?). --- # Presentation 1. Write as CSV. 2. Write as Geojson. 3. Write as shapefile. 4. Write as PNG. --- # Synopsis * Programming is no longer a specialist job. * Data and algorithms are no longer centralised but distributed. * Python is great as a glue, data crunching language between web, server, modeling and Desktop GIS. * Programming is not the same as Software engineering. --- # Code & Presentation https://github.com/divisionblue/wur-python