| 0 |
https://mledits.github.io/icse_sp1/3/48898/details.html |
| 1 |
https://mledits.github.io/icse_sp1/3/24611/details.html |
| 2 |
https://mledits.github.io/icse_sp3/4/33384/details.html |
| 3 |
https://mledits.github.io/icse_sp3/3/27492/details.html |
| 4 |
https://mledits.github.io/icse_sp3/3/24607/details.html |
| 5 |
https://mledits.github.io/icse_sp3/3/60257/details.html |
| 6 |
https://mledits.github.io/icse_sp3/3/69322/details.html |
| 7 |
https://mledits.github.io/icse_sp3/5/809/details.html |
| 8 |
https://mledits.github.io/icse_sp3/3/26765/details.html |
| 9 |
https://mledits.github.io/icse_sp3/12/19824/details.html |
| 10 |
https://mledits.github.io/icse_sp3/3/12644/details.html |
| 11 |
https://mledits.github.io/icse_sp4/3/11992/details.html |
| 12 |
https://mledits.github.io/icse_sp5/4/47306/details.html |
| 13 |
https://mledits.github.io/icse_sp5/5/3131/details.html |
| 14 |
https://mledits.github.io/icse_sp5/3/67278/details.html |
| 15 |
https://mledits.github.io/icse_sp5/3/26765/details.html |
| 16 |
https://mledits.github.io/icse_sp5/3/28841/details.html |
| 17 |
https://mledits.github.io/icse_sp5/3/17941/details.html |
| 18 |
https://mledits.github.io/icse_sp5/3/2120/details.html |
| 19 |
https://mledits.github.io/icse_sp5/3/9925/details.html |
| 20 |
https://mledits.github.io/icse_sp5/5/809/details.html |
| 21 |
https://mledits.github.io/icse_sp5/3/26765/details.html |
| 22 |
https://mledits.github.io/icse_sp5/3/10250/details.html |


{% load static %}
RoboKlein
Seller Name:
Seller Email:
Seller Phone:
Seller Notes:
Add Line
{% csrf_token %}
Total Buy Price: $
Payment method:
Cash
Store Credit
Purchase and List


|
OpenVPN-Authenticator
|
This project is a core piece of the OpenVPN-Access project. It intercepts all incoming OpenVPN connections and verifies the provided usernames and passwords against those stored in a MariaDB
database.
OpenVPN-Authenticator uses cmake
to create its build files and configurations, and depends on the following pieces of software:
MariaDB
database instance.authenticator
configuration files.These, however, are all pulled from their GitHub repositories at compile time by cmake
, so there is no need to install them beforehand.
To build OpenVPN-Authenticator, you will need:
g++
.cmake
to generate build files.doxygen
to generate documentation files (optional).If you meet these requirements, building OpenVPN-Authenticator is as simple as:
If you have any problems, questions or comments, please don't hesitate to open an issue, or contact us on mattermost.
OpenVPN-Authenticator is well documented in-source, but for the sake of completion, you can find a full doxygen
generated HTML documenation site here.
Issues, pull requests, etc. are very welcome. We are always looking for more people to help us maintain and improve this project. If you don't know where to start, or have any questions, please contact us on mattermost, or send an email to Nathan Seymour natha. n@se ymour .glo bal


| Time | Event | Location |
|---|---|---|
| Sat 2:30 PM EDT | Opening Ceremony and Theme Announcement | TBD |
| Sat 3:00 PM EDT | Hacking begins | TBD |
| Sat 3:00 PM EDT | Team formation session | TBD |
| Sat 4:00 PM EDT | Workshop: echoAR: Build a Cloud-Connected AR/VR App in 15 Minutes or Less | TBD |
| Sat 6:00 PM EDT | Workshop: Fundamentals of Internet Security (Certificates 101) | TBD |
| Sat 9PM EDT | Workshop: A Brief History of Internet Money | TBD |
| Sun 12:00 AM EDT | Games (TBD) | TBD |
| Sun 9:00 AM EDT | Games (TBD) | TBD |
| Sun 11:00 AM EDT | Workshop: Hack the Technical Interview | TBD |
| Sun 3:00 PM EDT | Project Deadline | TBD |
| Sun 3:00 PM EDT | Games (TBD) | TBD |
| Sun 3:00 PM - 6:00 PM EDT | Project Demos | TBD |
| Sun 3:00 PM - 6:00 PM EDT | Judging | TBD |
| Sun 6:30 PM EDT | Winners Announcement and Closing Ceremony | TBD |
Email<EMAIL_ADDRESS>General Questions: Join our Discord group chat!


An unexpected error has occurred in the program. Please email CDL if the problem continues.
Copyright © 2017 The Regents of The University of California California Digital Library
Questions? Comments?


To view this video please enable JavaScript, and consider upgrading to a web browser that supports HTML5 video


CODEXEATER
The place where transformation happens not only for students, but also for you, the tutor.
With a culture of growth, the objective is to learn, practice and evolve.
GET STARTED
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Viter.io Changelog
Update v0.1 - Closed Beta
Added changelog to main page.
Added changelog history page.


Welcome Daniel Tomasevich,
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Here is an image (from wikipedia),
image_zoom plugin allows to zoom it, just by clicking on it
If you want to have two different images (e.g. another one with greater dimension on zoom, use data-src-zoom to specify the zoom image:
Finally, you can use data-zoom-height attribute to specify the height you want for your zoom image (for example here twice the screen):


General Layout:
(1) Project View:
Displays and manages the scenes in your project. From this window you can create, delete or rename scenes.
(2) Scene Hierarchy
Displays and manages the view and control hierarchy of the active scene. This window allows you to create, delete and rename views and controls.
(3) Timeline
Manages the animations within a view. This window also allows you to preview animations by moving the current-frame indicator to the appropriate frame.
(4) Scene View
This is the main view of the OtterUI Editor. Within this view you can edit and preview the current scene and view. Multiple scenes can be open at the same time, but only one view in the scene can be viewed at a time.
(5) Controls
Lists the available controls in the OtterUI Editor.
(6) Properties
When a keyframe, control or view is selected the item's properties will be displayed here. Within the property window you can change the values of an item as is appropriate.
(7) History View
This window displays the undo/redo history. Clicking on entries in the list will either progress or revert to associated action.
Created with the Personal Edition of HelpNDoc: Easily create HTML Help documents


X(1996/2000) Reviewed by Eugene Novikov http://www.ultimate-movie.com/ Member: Online Film Critics Society
Directed by Rintaro. Unrated (would be rated R due to strong, pervasive animated violence and nudity).
I am not at all an anime (adult Japanese animation) aficionado; I have seen very little and what I have seen has not particularly enthused me. But here, at long last, is an anime I can get excited about. X, made in 1996 and only now getting to America, is complex, rather confusing but outrageously exciting all the same. It's an apocalyptic vision, superficially not unlike End of Days, except that it has an interesting plot that actually makes some sense. Though at times hampered by awkward dialogue and less-than-fluid action sequences, X remains a riveting adult science fiction adventure.
At the center of the story is a young man named Kamui. In a dream he sees his deceased mother, who tells him to go to Tokyo, though she doesn't specify why. Curious, he follows her advice and goes to the city. Once there, he seeks out his best friend Fuma and his sister Kotori. In the meantime, a mysterious Oracle visits him in his dreams. She tells him the story of the Dragon of the Earth and the Dragon of Heaven, two opposing armies who are about to fight the final battle for the future of the planet. If the Dragon of the Earth wins, mankind will be wiped out and the planet will be cleansed of the species that, in their constant effort to better their lifestyle, destroyed it. If the Dragon of Heaven wins, mankind -- and the city of Tokyo -- will be saved.
The kicker is that Kamui, whose name stands for "Power of God," has the power to decide the outcome of the war by siding with one of the armies. The Oracle and her group of mankind supporters urge Kamui to side with the Dragon of Heaven but the Oracle's evil sister has other plans. She recruits Fuma, who is rumored to have the exact same powers as Kamui and tells him that whatever Dragon Kamui becomes, Fuma must become the other. Their Destiny is Preordained (that is actually one of the versions of the title); they must fight each other to the death.
The movie is brief, fast and furious. It rarely stops to explain anything and if you get lost, you're left behind. But if you pay attention and take a couple of small steps into suspension of disbelief, X becomes an immensely satisfying experience. The plot is farfetched, yes, but it's also utterly engrossing; we don't just see our planet being put at risk, we care. The plot moves along so fast that if something in it becomes unclear the best thing to do is forget about it and concentrate on what's on-screen because otherwise you lose track. That can happen at any moment and yet I was involved enough in the story that I tried desperately (and, thank God, was ultimately successful) to keep it together in my mind. That has to be a good sign.
Another good aspect of the storyline is the idea of two friends pitted against each other by insurmountable fate. The idea is not a new one, but it still manages to be effective pathos when done correctly. Helped out tremendously by a poignant ending, X manages to turn the tables, avoid the formulas and weave a compelling human story into a kinetic science fiction thriller.
The film is not without its problems. Japanese must be a very difficult language to translate because the few animes that I have seen have all featured very awkward dialogue. Perhaps it's the culture difference, I don't know. With a plot as feverishly fast as this one, you tend not to care about the authenticity of the dialogue, but some conversations are so cringe-worthy, you can't help but notice. It's also worth mentioning that some of the action sequences are a little confusing, with explosions everywhere and people jumping all over the place, making it hard to keep track of what exactly is going on.
If you go see X, do not buy a beverage. If you have to go to the bathroom, you might as well not come back. It will most likely take all of your concentration to keep up with the movie, but it will be worth it.
Grade: A-
©2000 Eugene Novikov
Sent via Deja.com http://www.deja.com/ Before you buy.
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


@FunctionalInterface interface FlowTest<T : Flow<*>>
Functional SAM interface which has a single method taking in a FlowMockHelper and is annotated as throwing Exception so that it is not necessary to wrap Flow.call in try/catch in the few valid cases where a checked exception can be thrown.
run |
abstract fun run(t: FlowMockHelper<T>): Unit |


{% extends 'layouts/layout-bsa-design-system.html' %} {% set active = "components" %} {% set activesub = "Checkboxes" %} {% block pageTitle %} Back - NHSBSA design system {% endblock %} {% block beforeContent %} {% include "includes/breadcrumbs__components.html" %} {% endblock %} {% block content %}
A variation of GOV.UK checkboxes for higher density interfaces.
{% filter escape %}{% include "includes/components/checkboxes.html" %}{% endfilter %}
{% filter escape %}{% include "includes/css/checkboxes.css" %}{% endfilter %}
{% filter escape %}{% include "includes/components/checkboxes-progressive.html" %}{% endfilter %}
{% filter escape %}{% include "includes/css/checkboxes.css" %}{% endfilter %}
This component is a variation of the GOVUK checkboxes.
Use this component when the form is not the most important element on a page. Or when the size of the GOVUK radio buttons creates a false hierarchy of content.
A common use would be filtering search results.
Always start with the GOVUK checkboxes. Don't use this component as part of a 'one thing per page' pattern.


Allow Farooq Abdullah to attend Parliament: Opposition asks govt
Opposition leaders raised the issue of MPs not being allowed to visit Jammu and Kashmir after the abrogation of its special status
by BS ReporterAttacking the government over the detention of sitting Lok Sabha MP Farooq Abdullah, Opposition members on Monday termed the National Conference leader’s detention as illegal and demanded that he be allowed to attend the House. Opposition leaders raised the issue of MPs not being allowed to visit Jammu and Kashmir after the abrogation of its special status, whereas parliamentarians from Europe have been taken to the state, with Congress leader Adhir Ranjan Chowdhury describing the EU delegation as hirelings.
.


Create Index APIedit
Create Index Requestedit
A CreateIndexRequest
requires an index
argument:
Index settingsedit
Each index created can have specific settings associated with it.
Index mappingsedit
An index may be created with mappings for its document types
Index aliasesedit
Aliases can be set at index creation time
Optional argumentsedit
The following arguments can optionally be provided:
|
Timeout to wait for the all the nodes to acknowledge the index creation as a |
|
|
Timeout to wait for the all the nodes to acknowledge the index creation as a |
|
Timeout to connect to the master node as a |
|
|
Timeout to connect to the master node as a |
Synchronous Executionedit
CreateIndexResponse createIndexResponse = client.indices().create(request);
Asynchronous Executionedit
The asynchronous execution of a create index request requires both the CreateIndexRequest
instance and an ActionListener
instance to be passed to the asynchronous
method:
The asynchronous method does not block and returns immediately. Once it is
completed the ActionListener
is called back using the onResponse
method
if the execution successfully completed or using the onFailure
method if
it failed.
A typical listener for CreateIndexResponse
looks like:
Create Index Responseedit
The returned CreateIndexResponse
allows to retrieve information about the executed
operation as follows:


{% load static %}
You have 3 pending tasks !
New user registered.
Database error.
Reached 24k likes
Dashboard
Profile
Telegram
Schedule
Price Alerts
Indicators
TestBot
Levels
Level 1.1
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{% if PROJECT.slug == "data" or PROJECT.slug == "islands" %}
Below is an overview of all {{ SYSTEM_NAME_SINGULAR }} that our community are currently working on.
The completion rate is an estimate of how many of the layers have at least
one document -- this is not an exact indicator as the quality and completeness
of these document is only verified once we enter our next phase of data processing.
Would you like to help? Join our community, connect through
our forum, or do our free and open
online course on data collection.
{% endif %}
{% include "data/_space.progress.html" %}
{% endblock %}


MonoManager
Toggle navigation
Undo
Redo
Add new player
History
(5 latest entries)
×
Add new player
Input new player's name:
×
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--- layout: post title: no title date: '2018-02-25T12:15:35+01:00' categories: - Storyboards - Sketches picture_url: https://film-Storyboards.tumblr.com/post/171277859026 ---


@* * Copyright 2021 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 iht.constants.FieldMappings @this( previousAnswers: filter.previous_answers, ihtMainTemplateRegistration: iht_main_template_registration, form: FormWithCSRF, errorSummary: ihtHelpers.custom.error_summary, inputRadioGroup: ihtHelpers.standard.input_radio_group ) @(ihtForm: Form[Option[String]], jointAssets: Boolean, submitRoute: Call)(implicit request:Request[_], messages: Messages) @ihtMainTemplateRegistration(title = Messages("iht.roughEstimateEstateWorth"), browserTitle = Some(Messages("iht.roughEstimateEstateWorth")), isFullWidth = false, hasSignOut = false, hasTimeOut = false, headingClass = "heading-xlarge"){ @form(action = submitRoute,'autoComplete -> "off") {
@Html(Messages("iht.roughEstimateEstateWorth.guidance.p1"))
@if(jointAssets) {@Html(Messages("iht.roughEstimateEstateWorth.guidance.p2"))
} @errorSummary(ihtForm) @inputRadioGroup( ihtForm("estimate"), FieldMappings.estimateChoices.toSeq, '_legendClass -> "visually-hidden", '_legend -> Html(Messages("iht.roughEstimateEstateWorth")), '_groupClass -> "form-group", '_labelClass -> "block-label radio-label", '_labelTextClass -> "form-label-bold", '_legendIsHeading -> true) @previousAnswers(Messages("iht.countries.englandOrWales"), Some(true), Some(jointAssets)) } }


| 031:031 Khan | : |
See you not that the ships sail through the sea by Allah's Grace? that He may show you of His Signs? Verily, in this are signs for every patient, grateful (person). |
| 031:031 Maulana | : |
Seest thou not that the ships glide on the sea by Allah's grace, that He may show you of His signs? Surely there are signs in this for every patient, endurer, grateful one. |
| 031:031 Pickthal | : |
Hast thou not seen how the ships glide on the sea by Allah's grace, that He may show you of His wonders? Lo! therein indeed are portents for every steadfast, grateful (heart). |
| 031:031 Rashad | : |
Do you not see that the ships roam the sea, carrying GOD's provisions, to show you some of His proofs? Indeed, these should be sufficient proofs for everyone who is steadfast, appreciative. |
| 031:031 Sarwar | : |
Have you not seen that the ships sail in the ocean through the bounty of God so that He may show you the evidence (of His existence). There is evidence (of the truth) in this for every forbearing and grateful one. |
| 031:031 Shakir | : |
Do you not see that the ships run on in the sea by Allah's favor that He may show you of His signs? Most surely there are signs in this for every patient endurer, grateful one. |
| 031:031 Sherali | : |
Dost thou not see that the ships sail on the sea by the favour of ALLAH, that HE may show you of HIS Signs? Therein, surely, are Signs for every patient and grateful person. |
| 031:031 Yusufali | : |
Seest thou not that the ships sail through the ocean by the Grace of Allah?- that He may show you of His Signs? Verily in this are Signs for all who constantly persevere and give thanks. |
Concepts/Themes Covered: أركان الإسلام > التوحيد > توحيد الله تعالي > وجوده Pillars of Islam> Islamic> Oneness of Allah> His Existence أركان الإسلام > التوحيد > توحيد الله تعالي > وحدانيته Pillars of Islam> Islamic> Oneness of Allah> Singularity and Being Unique الإيمان > الله جلّ جلاله > شكره جلّ وعلا Faith> Allah, Glory to his Majesty> To Express Thanks to Allah العلوم والفنون > الحقائق العلمية و الإشاة إلى وقائع أيدتهاالإكتشافات العلمية > البحر Science and Art> The Scientific Facts and the Indication to Facts which have been supported by the Scientific Discoveries>The Sea العلوم والفنون > الملاحة Science and Art>Navigation
This tool uses eight English parallel translations for the Holy Quran imported from Mr. Clay Smith. You can also visit Qurany Concepts for browsing the Quran themes or topics. If you want to search the Holy Quran for keywords, please visit Qurany Keywords.


Development¶
Maintainers¶
MDP has been originally written by Pietro Berkes and Tiziano Zito at the Institute for Theoretical Biology of the Humboldt University, Berlin in 2003.
Since 2017, MDP is primarily maintained by the reasearch group Theory of Neural Systems at the Institute for Neural Computation of the Ruhr University Bochum.
Current maintainers are:
MDP is open to user contributions. Users have already contributed some of the nodes, and more contributions are currently being reviewed for inclusion in future releases of the package. The package development can be followed online on the public git code repositories or cloned with:
git clone git://github.com/mdp-toolkit/mdp-toolkit.git
git clone git://github.com/mdp-toolkit/mdp-docs.git
You can install the development version by changing to the newly
created mdp-toolkit
directory and running:
pip install -e .
For comments, patches, feature requests, support requests, and bug reports you can use the users’ mailing list.
If you want to contribute some code or a new algorithm, please do not hesitate to submit it!
Contributors¶
Strictly in alphabetical order:
- Gabriel Beckers
- Pietro Berkes
- Sven Dähne
- Philip DeBoer
- Kamel Ibn Aziz Derouiche
- Alberto Escalante
- Farzad Farkhooi
- Mathias Franzius
- Valentin Haenel
- Yaroslav Halchenko
- Michael Hanke
- Konrad Hinsen
- Christian Hinze
- Sebastian Höfer
- Michael Hull
- Zbigniew Jędrzejewski-Szmek
- Samuel John
- Varun Kompella
- Susanne Lezius
- Nils Müller
- Maximilian Nickel
- Fabian Pedregosa
- José Quesada
- Stefan Richthofer
- Ariel Rokem
- Michael Schmuker
- Benjamin Schrauwen
- Fabian Schönfeld
- Rike-Benjamin Schuppner
- Henning Sprekeler
- Jake VanderPlas
- David Verstraeten
- Niko Wilbert
- Ben Willmore
- Katharina Maria Zeiner
- Tiziano Zito
Information for new developers¶
We try here to summarize some policies and best-practices specific to new developers. You should also follow the General style guidelines, which are applicable to all developers.
- If you do not already own one, create an account on github.com and tell us your username there, so that we can add you to the list of developers and give you access to our git repositories
- Since our migration to git, the repository setup consists of
two separate repositories:
mdp-toolkit
mdp-docs
- If you want to commit code, it may be easiest to fork the MDP repository
on github and give us a note on the mailing list. We may then discuss
how to integrate your modifications.
For simple fixes that don’t need much discussion, you can also send
a mail patch to the list using
git format-patch
or similar. - Your code contribution should not have any additional dependencies, i.e. they should require only the numpy module to be installed. If your code requires some other module, e.g. scipy or C/C++ compilation, ask<EMAIL_ADDRESS>for assistance.
Development process¶
Development takes place on the master
branch, but it doesn’t mean
that everything should be immediately commited there.
Small commits and bugfixes and the like should go immediately on the main branch, if the commiter thinks that nothing will be broken by the patch:
git checkout master
# make a small fix :)
sed -ir s/develepement/development/g development_process.rst
git add development_process.rst
git commit -m 'FIX: correct spelling of development'
More complicated commits should go on a feature branch:
git checkout -b my_new_feature
<do some changes>
git add <some-file> <some-other-file>
git commit -m 'NEW: add subfeature-1'
<do some more changes>
git commit -m 'NEW: implement this and that'
When a developer wants to show the branch to other people, she should push it into the main repo:
git push origin my_new_feature
Temporary branches¶
If you are about to test something and you’ve got the idea that your code won’t last long in the repository, (maybe you want to show your code to another developer or you want to just check, if you can commit to the server,) you should create another branch for that, the same as for any new feature.
The advantage is, that it keeps our master branch clean from all those ‘testing some really strange new stuff – please have a look’ commits, which are likely to be reverted again. When you feel good about your commit, you can cherry-pick or merge the good stuff to master.
Alternatively, ‘please have a look’ commits may also be pushed to a separate repository (e.g. a github fork).
Merging feature branches back into the master
branch¶
Development is consensus based, so new features should be posted for review and gain acceptance before being merged back into the main branch. After the decision to merge has been made:
Check that all tests pass on the feature branch. Ideally, the branch should already include tests for all code it introduces or significantly changes.
Some things to test in special circumstances:
If the code does anything version specific, it should be tested on all supported python versions:
python2.5 /usr/bin/py.test python2.6 /usr/bin/py.test python2.7 /usr/bin/py.test python3.1 setup.py build (cd build/py3k && py.test-3.1) (cd build/py3k && python3.2 /usr/bin/py.test-3.1)
TODO: add windows and mac equivalents
If the code does anything platform specific if should also be tested on Windows.
Code should be tested with both numpy and scipy as backends. Since scipy will be selected by default if installed, the extra step that can be performed is testing while selecting numpy explicitely:
MDPNUMX=numpy py.test
Before merging also make sure that the master branch passes tests :)
The merge should be performed in a way that preserves the history of the branch:
git checkout master git merge --no-ff my_new_feature
The merge commit should retain the name of the branch in the message.
After merging, tests should also pass.
If tests fail and the failures are caused by a problem with the merge, the merge commit should be amended:
<fix code> py.test ... git commit --amend -a
If the changes introduced in the branch simply uncovered problems in other parts of the codebase, the fixes can be committed as separate changesets.
Only when tests after the merge execute satisfactorily, changes should be pushed to sourceforge. The old branch can be deleted.:
git push origin :my_new_feature
Git commit messages¶
Commit messages are supposed to start with a prefix that specifies the type of change:
DOC:
documentationFIX:
fixes somethingERF:
enhancement, refactoringNEW:
a new featureOTH:
other (use with care)
The message should consist of a short summary (up to about 70 characters) and a longer explanation after an empty line. The summary messages will are used to generate a changelog for distribution tarballs.
History rewriting¶
The developer that created a feature branch is free to rewrite the history of the branch if she finds it reasonable:
# do some history cleaning
git rebase -i $(git merge-base origin/master my_new_feature)
# upload a new version of the branch and override the old one
git push --force origin my_new_feature
If multiple developers wants to cooperate on feature_branch
, they
should agree between themselves on a history rewriting policy.
How to handle failed tests¶
If you discover a component of MDP failing to run correctly, you should always post an issue on MDP’s issue tracker. If this happens during a test of MDP, locally or in a CI service, the problem is typically easy to reproduce like this:
pytest --seed==SEED mdp/test/test_FUNCTIONALITY.py -k test_NAME
The variables have the following meaning:
SEED
: the random seed,FUNCTIONALITY
: describes the component of MDP that is tested andNAME
: the name of the failing test.
The values can be read out of the pytest report after a failed test run. Further useful information is given by the versions of Python and the MDP dependencies for which the test failed. The other developers of MDP can spot the problem if the data is added to the file dedicated to collecting such data.
General Style Guidelines¶
Read carefully the Writing your own nodes: subclassing Node section of the Tutorial.
Remember to set the supported dtypes for your nodes. Example of a node supporting only single and double precision: *
SFANode
in mdp-toolkit/mdp/nodes/sfa_nodes.py Example of a node supporting almost every dtype: *HitParadeNode
in mdp-toolkit/mdp/nodes/misc_nodes.pyIf setting
input_dim
,output_dim
ordtype
has side effects, remember to implement that in the_set_input_dim
,_set_output_dim
,_set_dtype
functions. Several examples are available inmdp-toolkit/mdp/nodes/
Your code should strictly follow the PEP 8 coding conventions. Note that some older code sections in MDP do not follow PEP 8 100%, but when the opportunity arises (e.g., when we make changes in the code) we are improving this. So new code should always follow PEP 8. Additional style guidelines can be learned from the famous Code like a Pythonista.
Always import numpy in your code as:
from mdp import numx
numx
is a placeholder we use to automatically import scipy instead of numpy when scipy is installed on the system. Similarly, importnumx_fft
,numx_linalg
,numx_rand
, for the corresponding submodules in NumPy or SciPy. This way your code will work independently of the numerical backend.Only raise
mdp.NodeException
. If you need custom exceptions, derive them frommdp.NodeException
.Your nodes needs to pass the automatic tests for setting and consistency of
input_dim
,output_dim
anddtype
and at least one functional test, which should test the algorithm possibly in a non-trivial way and compare its results with exact data you can derive analytically. If the latter is not possible, you should compare results and expected data within a certain precision. Look for example attestPCANode
inmdp-toolkit/mdp/test/test_PCANode.py
. For the generic tests, the relevant code is inmdp-toolkit/mdp/test/test_nodes_generic.py
in the functionstest_dtype_consistency
,test_outputdim_consistency
,test_dimdtypeset
,test_inverse
.You nodes must have telling and explicit doc-strings. In particular, the class doc-string must cite references (if any) for the algorithm, and list the internal attributes of interest for the user. Any method not belonging to the base
Node
class must be clearly documented in its doc-string. Error messages must give an hint to the user what’s wrong and possible ways around the problem.Any non trivial algorithmic step in the code must be commented, so that other developers understand what’s going on. If you have doubts, mark the code with
#???
or#XXX
. If you think a better implementation is possible or additional work is needed, mark the code with#TODO
. Other useful tags are#FIXME
if you know something is broken or inefficient,#NOTE
or#WARNING
to remember you or your fellow developer about issues, and finally#YYY
as an answer to the question marked with#???
.Have a look at the
SFANode
implementation for an example.When you commit your code always provide a meaningful log message: it will be mailed automatically to all other developers!
This list is far from being complete, please let us know your comments and remarks :-)


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That time works for me.
From: Bill<EMAIL_ADDRESS>Sent: Wednesday,
April 8, 2020 7:51 PM
To: Tom<EMAIL_ADDRESS>Cc: Susan
<EMAIL_ADDRESS>Subject: Re: Let's meet
I can meet tomorrow.


Welcome to Brunswick
12:00pm - 10:00pm | Sunday
12:00pm - 12:00am | Saturday
5:00pm - 10:00pm | Wednesday - Thursday
Welcome to Brunswick is an open-air garden-bar from the Welcome to Thornbury crew. But this time, the food-truck-meets-booze-garden mavens are working in collaboration with double-decker craft brewery 4 Pines, from Manly in Sydney.
While it follows the same formula that makes Welcome to Thornbury so popular, the Brunswick outpost has its own distinct personality. For one, the 450-person space hosts a 4 Pines brewery-bar. You can head in for a brew, or order from the window looking out over the beer garden.
And while – as at Thornbury – you can sit outside at a communal table, orbited by the requisite food trucks serving burgers, tacos, Philly cheesesteaks, woodfired pizza and more, here Brunswick Mess Hall backs onto the space and contributes to the menu too, with spicy chicken wings; pork and shiitake gyoza; charcoal chicken skewers; and fried eggplant. Just order at the bar.
The bar serves the 4 Pines core range – a crisp pale ale, a fruity Pacific, an alcoholic ginger beer and more – alongside beers made exclusively for Brunswick. Beyond beer there are cans of boozy peach iced tea, beer-based cocktails (think spiced rum mixed with coconut and pineapple liqueur, then topped with Pacific ale), a handful of local wines and a few fruity ciders.
There are also jugs of cocktails for $40 a pop – try the Middle Earth Mojito which combines 42 Below feijoa vodka with white rum, kiwifruit, fresh mint, soda and citrus; or the Red Goji Berry Sangria with star-anise and cherry.
Breathe Architecture handled the design of the park, bringing in recycled timbers for the outdoor deck, adding pontoon lighting overhead and exposed scaffolding throughout, and converting an old shed on the site – a former telecommunications depot – into the bar. Seating is a mix of proper chairs and old kegs with timber tops. And dogs are not only welcome, they’re encouraged.
Phone: (03) 9036 6310
Website: welcometobrunswick.com.au
Independent Editorial Policy
We do not seek or accept payment from the cafes, restaurants, bars and shops listed in the Directory – inclusion is at our discretion. Venue profiles are written by independent freelancers paid by Broadsheet.


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| Package | com.whirled.avrg |
| Class | public class AVRServerGameControl |
| Inheritance | AVRServerGameControl AbstractControl flash.events.EventDispatcher |
AVRGame means: Alternate Virtual Reality Game, and refers to games played within the whirled environment with your avatar.
AVR games can be significantly more complicated than lobbied games. Please consult the whirled wiki section on AVRGs as well as the AVRG discussion forum if you're having any problems.
See also
| Property | Defined by | ||
|---|---|---|---|
| game : GameSubControlServer
[read-only]
Accesses the server agent's game sub control.
| AVRServerGameControl | ||
| props : PropertySubControl
[read-only]
Accesses the private properties for the server agent: these are not distributed to any
clients and can thus be updated with greater frequency than the game-global ones.
| AVRServerGameControl |
| Method | Defined by | ||
|---|---|---|---|
|
Creates a new game control for a server agent.
| AVRServerGameControl | ||
|
addEventListener(type:String, listener:Function, useCapture:Boolean = false, priority:int = 0, useWeakReference:Boolean = false):void
Registers an event listener.
| AbstractControl | ||
|
doBatch(fn:Function, ... args):void
Execute the specified function as a batch of commands that will be sent to the server
together.
| AbstractControl | ||
|
getPlayer(playerId:int):PlayerSubControlServer
Accesses the server agent's player sub control for a player with a given id.
| AVRServerGameControl | ||
|
getRoom(roomId:int):RoomSubControlServer
Accesses the server agent's room sub control for a given room id.
| AVRServerGameControl | ||
|
isConnected():Boolean
Are we connected and running inside the whirled environment, or has someone just
loaded up our SWF by itself?
| AbstractControl | ||
|
loadOfflinePlayer(playerId:int, success:Function, failure:Function):void
Loads the property space of an offline player and calls your function with it as an
argument.
| AVRServerGameControl | ||
|
removeEventListener(type:String, listener:Function, useCapture:Boolean = false):void
Unregisters an event listener.
| AbstractControl |
| game | property |
game:GameSubControlServer
[read-only]Accesses the server agent's game sub control.
Implementation public function get game():GameSubControlServer
| props | property |
props:PropertySubControl
[read-only]Accesses the private properties for the server agent: these are not distributed to any clients and can thus be updated with greater frequency than the game-global ones. Properties marked as such will be persisted and restored whenever the server agent starts.
Implementation public function get props():PropertySubControl
See also
| AVRServerGameControl | () | constructor |
public function AVRServerGameControl(serv:ServerObject)
Creates a new game control for a server agent.
Parametersserv:ServerObject |
| getPlayer | () | method |
public function getPlayer(playerId:int):PlayerSubControlServer
Accesses the server agent's player sub control for a player with a given id. Server agents
are notified when a player joins and quits the game by events. An Error
is
thrown if the requested player has not joined the game or has quit.
playerId:int |
PlayerSubControlServer |
See also
| getRoom | () | method |
public function getRoom(roomId:int):RoomSubControlServer
Accesses the server agent's room sub control for a given room id. This method will fail by
throwing an Error
if the room is not currently loaded by the server agent. A
room with at least one player in it is guaranteed to be loaded. Server agents are notified
of player entry and exit by events. A room with no players in it should be considered
unloaded after the event is sent for the last player exiting the room.
roomId:int |
RoomSubControlServer |
See also
| loadOfflinePlayer | () | method |
public function loadOfflinePlayer(playerId:int, success:Function, failure:Function):void
Loads the property space of an offline player and calls your function with it as an argument. Within this callback, you may read and write persistent properties as you see fit. Note: To preserve some semblance of sanity, you can only load the properties of a player who has already had at least one persistent property set.
ParametersplayerId:int |
|
success:Function |
|
failure:Function |
_ctrl.loadOfflinePlayer(opponentPlayerId, function (props :PropertySubControl) :void { props.setIn("messages", myPlayerId, myMessage); }, function (failureCause :String) :void { log.warn("Eek! Sending message to offline player failed!", "cause", failureCause); });


// There exists a root one sig Root extends Dir { } { no parent } Equivalently, we could have accomplished the same effect by writing two additional facts:
sig Root extends Dir { } fact { one Root } fact { no Root.parent }
We could also combine those two fact statements into one. Notice that when more than one constraint appears in a fact, they are automatically conjoined together as if you used the && operator.
sig Root extends Dir { } fact { one Root no Root.parent }
We could also reword the second constraint in the fact (although there is no particular reason to do so) as follows:
sig Root extends Dir { } fact { one Root all r:Root | no r.parent }
this rewriting works because "." gets mapped onto the elements of a set it is applies to.
Both of these syntatic shorthands can make a model more concise and clearer, but are not always appropriate. When and how you use them is a matter of style.


{% extends "base.html" %} {% block title %}Delete Position{% endblock %} {% block search %} {% include "employee/position/position_search_form.html" %} {% endblock search %} {% block sidebar %} {% include "employee/sidebar.html" %} {% endblock %} {% block main %} Dashboard All Positions Export This week Delete Position Are you sure you want to delete the Position: {{ object }}? {% csrf_token %} {% endblock %} {% block footer %} {% include "employee/footer.html" %} {% endblock footer %}
Are you sure you want to delete the Position: {{ object }}?


Spectral Descriptors as Control Objects for Mass-Interaction Physical Modeling Sound Synthesis
Figure 1. Physical model of a beam with 86 masses and 512 interactions,
excited by a plucking mechanism. Taken from [9].
Introduction
Walking down the street with my headphones on, I observe that I am listening to both continuous-time signals (my footsteps, the cars passing by) and digitally-processed discrete-time signals (lofi house mix on SoundCloud through my headphones). However, my brain more-or-less perceives them as both continuous-time, in a way blurring the lines between the analog and digital worlds. At the center of this blurring is, of course, signal processing. Wielding this idea has numerous applications, particularly for digital sound synthesis for music creation. If we can understand how to model mechanical and acoustical systems that are governed by physical laws using discrete-time and discrete-space mathematical formalisms, we can simulate these systems with a control that might not be feasible in the analog realm. This is then the task of physical modeling sound synthesis.
Physical Modeling for Sound Synthesis
Within the realm of computer music, a number of formalisms for physical modeling have been proposed over the past forty years. A few are:
- finite difference schemes
- lumped models
- digital waveguides
- modal synthesis
- finite element modeling
- state-space techniques
Certainly each of these formalisms have their own pros and cons and will be suitable or unsuitable depending on the system. Often combinations of techniques can be used to achieve a more precise model. In 2003, Castagne and Cadoz proposed 10 general criteria for evaluating physical modeling techniques oriented to music creation [1]:
- How efficient is the algorithm?
- How faithful are the synthesized sounds?
- How diverse are the categories of instruments that can be modelled?
- Is the scheme exclusively dedicated to sound synthesis or more general?
- How robust is sound plausability?
- How modular is the technique?
- How intuitive and effective is the associated mental model?
- How deep is the modeling process enabled by the scheme?
- Do generation algorithms exist?
- Is there a friendly musician-oriented environment for using the scheme?
While it is not the task of this project to compare and contrast modeling schemes, I think these are good criteria to keep in mind when considering this project.
Mass-Interaction Physical Modeling
Background
Mass-Interaction Physical Modeling is one of the oldest techniques for digital sound synthesis via physical modeling. It was pioneered beginning in 1978 by the CORDIS-ANIMA system developed at ACROE in Grenoble, France [2]. The basic idea is to represent physical systems in the form of lumped networks composed of two main components: mass objects and interaction objects. Mass objects represent material points in a given space with some inertial behavior while interaction objects represent a specific type of coupling between mass objects (i.e. visco-elastic, collision, non-linear). By doing this, we avoid the need to explicitly define a mathematical model such as a partial differential equation system with boundary conditions (as is needed in finite difference methods).
Within the past few years, there has been somewhat of a renewed interest in mass-interaction physical modeling, driven by the release of a Max/MSP package mi-gen~ [3] (github) and a Faust [4] (github) library. These tools have certainly improved the accessibility of MI-modeling thanks to the inclusion of a model scriptor that translates a high level model into lower level code.
Basics
In order to model the physics of masses and interactions in discrete-time, we will apply a second order central difference scheme to Newton’s second law. For a point mass, we have
where is the force applied to the mass, is its inertia, is its acceleration, and is its position.
Using a second order central difference scheme with sampling period , we have
To discretize, we simply convert the sample period into a sample and collect the continuous-time parameters into a discrete-time inertial constant
Rearranging terms, we can achieve a difference equation that describes the discrete-time position of a mass as a result of the external forces being applied:
A very common object in mass-interaction modeling is a visco-elastic spring connecting two masses. Consider a spring with stiffness parameter and damping parameter . Hooke’s Law tells us that the force needed to extend or compress a spring by some distance scales linearly with respect to that distance. In the case of a spring connecting masses as shown in Figure 1, we have
Figure 1. A visco-elastic spring connecting two masses, m_1 and m_2 at
positions x_1 and x_2, respectively.
where and are the positions of the two masses and , respectively. In discrete-time, this is
where is the discrete-time stiffness parameter.
If we approximate damping to the first-order, we have the following relationship describing the force from onto as a result of the damper:
Using a first-order backward difference scheme to discretize the derivative, we have
where is the sampling period. In discrete-time, we have
Thus, we have computed the discrete-time external forces for a spring connecting two masses. More common, however, is the world-reknown linear harmonic damped oscillator (mass on a spring) where one end of the spring is now fixed to a point, as shown in Figure 2. Writing the sum of the forces on mass as a result of the spring and the damper, we have
We can now substitute this expression into the discrete-time Newton’s second law from above and rearrange terms to achieve a difference equation that describes the motion of a harmonic oscillator.
Figure 2. A visco-elastic spring connecting a mass and a fixed point.
Notice that the position of the mass at time simply depends on a linear combination of the position of the mass at time and , where the coefficients are simply terms in the stiffness parameter , the damping parameter and the inertial parameter . In practice, these parameters are normalized to 1. Although they are functions of the sample rate, they do provide a direct view of stability conditions for the system. In order to stay in an oscillatory regime, we must have . A derivation of stability conditions for the linear harmonic oscillator can be found in the appendix of [3].
Building Topologies
Figure 3. Physical model of a triangle. Taken from
[4].
Based on this formalism, modeling with MI involves building a geometrical model by positioning and connecting masses together through interaction objects, and by specifying the parameters and initial conditions for each one. Figure 3 shows a basic physical model of a triangle (the percussion instrument). Three masses are joined by dampened springs with one of the masses fixed to a point. The system is then excited by a pluck at the input module and the output is taken from one of the masses. Because sound is essentially just air being pushed, we can listen to the motion of a given mass as the output of our system.
One main advantage arises when comparing MI modeling with other physical modeling paradigms: It introduces the ability to build and excite virtual mechanical constructions that are not bounded by realism. We know from more traditional musical acoustics research that many nonlinear behaviors exist in acoustic musical instruments which contribute to their unique and interesting timbres. It is often the task of other physical modeling techniques to model these nonlinearities for a given system with the goal of achieving a more realistic sound synthesis. With MI modeling, we are "atomically" building structures grounded in Newton’s second law, meaning nonlinear behavior will arise naturally if a system is excited properly and maintains numerical stability. If we can model and excite the right structure, theoretically we can discover new interesting behaviors and sounds for use in an artistic process.
One main disadvantage, however, is the task at hand. It is difficult to develop an intuition of how to model structures to achieve a certain timbre or behavior, especially when there are three parameters to adjust for every object. The goal of this project, then, is to simplify this process by introducing higher level (timbral) control objects to build MI geometries.
Towards Higher Level Control of MI Systems
This project attempts to introduce higher level control objects for mass-interaction physical models. This was done by first assessing what a set optimal control parameters would look like in this context. Next, a series of experiments were conducted to build models for the relationships between existing parameters and optimal parameters. And finally, a Max patch was developed with these controls as input to determine if it is a more intuitive approach to MI modeling.
Optimal Control Parameters
If an artist wants to use mass-interaction modeling as a sound synthesis paradigm in their creative process, what parameters would they be interested in controlling? Considering the victories of previous synthesizers, I contend pitch and decay rate would be suitable as a start.
As for timbral control, we can use spectral descriptors to build a control object. Spectral descriptors are a set of perceptually-relevant algorithms that can be computed on any audio signal to learn information about that signal. Some examples are spectral centroid, decrease, kurtosis, and spread. Sound events are analyzed in terms of various input representations including the short-term Fourier transform, harmonic sinusoidal components, and an auditory model based on the equivalent rectangular bandwidth concept. A number of audio descriptors are then derived from each of these representations to capture temporal, spectral, spectrotemporal, and energetic properties of the sound events [5].
There are often correlations between spectral descriptors and perceptual attributes. For example, spectral centroid is known to be correlated with brightness. I contend that we can exploit this idea to obtain higher level control over mass-interaction physical models.
Experiments
Figure 4.Inertial parameter M vs. fundamental frequency. A least-squares fit
indicates a first-order power law
relationship.
To determine the relationship between the inertial parameter and the pitch, an experiment was carried out by varying the inertial parameter and estimating the fundamental frequency, as shown in Figure 4. A 50 mass string was used as the test structure. The data was fit to a first-order power law of the form and a 0.9995 R-square value was achieved. Thus, to control the inertial parameter with pitch, an inverse function is taken and solved for :
where is the discrete-time inertial parameter, is the fundamental frequency in Hz, , and . It is important to note that while the first order power law relationship holds across different structures, the coefficients of the model do not and can therefore not be generalizable. This drastically increases the difficulty for pitch control via inertial parameter modulation and it would likely be easier to use known pitch shifting techniques.
Next, an experiment was carried out to determine the relationship between the inertial parameter and the decay time, as shown in Figure 5. This indicated a linear relationship between the two variables and a control object was constructed accordingly. Again, while the fit coefficients are not generalizable for any given structure, the linear relationship holds.
Figure 5. Inertial parameter M vs. decay time (ms). A least-squares fit
indicates a linear relationship.
To determine what a timbral control object would look like, a number of experiments were carried out using spectral descriptors to try to determine the relationship between MI geometry and timbre. First, several spectral descriptors were measured against the number of masses in an ideal string to determine the timbral effect of masses. Some of the results are shown in Figure 6. Adding masses to a string therefore decreases centroid, increases spectral decrease, increases kurtosis, and decreases slope.
Then, six mid-level macro objects were constructed using the Mass Interaction Model Scripter (MIMS) provided in the mi-gen Max/MSP toolbox: string (ideal string fixed at both ends), stiff string (a string accounting for 2nd order stiffness, fixed at both ends), a chain (string but not fixed at end), mesh (2d string with open boundary conditions), closedMesh (entirely fixed boundary conditions), and cornerMesh (fixed points at each of the four corners). Then, the parameters were tuned so that all objects had the same fundamental frequency and damping (it doesn’t make sense to compare timbres of objects of different pitches/decays). The objects were measured against spectral descriptors (centroid, decrease, kurtosis, spread, skewness, rolloff) to try to determine their effect on the timbre. Some of the results are shown in Figure 7. The main takeaway from these experiments was that not fixing points has the effect of boosting low frequencies (as in the case of the chain).
Figure 6. Some results of experiment testing timbral effects of number of masses
on an ideal string.
Figure 7. Some results of experiment testing timbral effects of various
mid-level structures.
Max Patch
A Max patch was constructed with a novel "timbral control" object based on the results of the experiments in the previous section. The object is based off of Max’s pattrstorage object while allows for linear interpolation between presets. Six timbral "modes" are contained as presets in this object, between which the user can interpolate. The modes were determined by varying the gain of each of the six macro objects described earlier while holding the other five constant and determining their effect on six spectral descriptors (centroid, kurtosis, decrease, skewness, rolloff). If a spectral descriptor quantity reached a maximum as the gains were varied, it was determined to be a timbral "mode" and was added to the object.
Conclusions
Mass-Interaction Physical Modeling is a physical modeling sound synthesis technique performed by representing physical systems in the form of lumped networks composed of two main components: mass objects and interaction objects. Modeling with MI involves building a geometrical model by positioning and connecting masses together through interaction objects, and by specifying the parameters and initial conditions for each one. However, it is difficult to achieve intuition over how to build physical models since the objects are so low-level. This project sought to create higher level timbral control objects by experimenting with spectral descriptors across various topologies.
While I have made some progress towards higher level control of MI models, there is still far more to be done. The task ended up being far more difficult than I expected and would require a much deeper understanding in order to implement such an object in a synthesizer. Nonetheless, I believe MI modeling has endless potential as a physical modeling technique and I look forward to continue studying it in the future.
References
[1] N. Castagne, C. Cadoz, “10 Criteria for evaluating physical modelling schemes for music creation”, Proceeding of the Digital Audio Effects Conference DAFX03,London, UK, 2003
[2] Cadoz, C., Luciani, A., & Florens, J. L. (1993). CORDIS-ANIMA: A Modeling and Simulation System for Sound and Image Synthesis: The General Formalism. Computer Music Journal, 17(1), 19-29. doi:10.2307/3680567
[3] Castagné, N., & Cadoz, C. (2002). GENESIS : a Friendly Musician-Oriented Environment for Mass-Interaction Physical Modeling. International Computer Music Conference Proceedings.
[4] Leonard, J., & Villeneuve, J. (2019, 2019-05-28). mi-gen : An Efficient and Accessible Mass-Interaction Sound Synthesis Toolbox. Paper presented at the SMC 2019 - 16th Sound & Music Computing Conference, Malaga, Spain.
[5] Leonard, J., Villeneuve, J., Michon, R., & Orlarey, Y. (2019). Formalizing Mass-Interaction Physical Modeling in Faust.
[6] Peeters G, Giordano BL, Susini P, Misdariis N, McAdams S. The Timbre Toolbox: extracting audio descriptors from musical signals. J Acoust Soc Am. 2011 Nov;130(5):2902-16. doi: 10.1121/1.3642604. PMID: 22087919.
[7] Kontogeorgakopoulos, A., & Claude, C. (2007). Cordis Anima Physical Modeling and Simulation System Analysis.
[8] Leonard, J., & Cadoz, C. (2015). Physical Modelling Concepts for a Collection of Multisensory Virtual Musical Instruments. Paper presented at the Proceedings of the international conference on New Interfaces for Musical Expression, Baton Rouge, Louisiana, USA.
[9] Jerome Villeneuve, James Leonard. Mass-Interaction Physical Models for Sound ans Multi-Sensory Creation : Starting Anew. SMC 2019 - 16th Sound & Music Computing Conference, May 2019, Malaga, Spain.
GitHub
Max patch built for this project can be found on GitHub at https://github.com/mskarha/massinteractioncontrol.


{% extends "frame.html" %} {% block content %}
“You keep using that URL. I do not think it means what you think it means.”


[A]
[B]
[C]
[D]
[E]
[F]
[G]
[H]
[I]
[J]
[K]
[L]
[M]
[N]
[O]
[P]
[Q]
[R]
[S]
[T]
[U]
[V]
[W]
[X]
[Y]
[Z]
Active Scripting
Active Server Pages
[See ASP] ActiveState
2nd
ActiveX
[See COM] adding C components to Python
frontend to FTP client
2nd
graphics to web pages
GUIs to command lines
input devices to HTML forms
relational algebra to sets
tables to web pages
tree interpreter to parsers
user interaction to CGI scripts
administering databases
backing up
displaying
state changes
web sites
zz
[See also Zope][See also Zope] AF__INET variable, socket module
after method
after__idle tools
animation techniques
anydbm module
2nd
shelve module and
Apache
APIs (application programming interfaces) embedded-call Python
GC
object model
ppembed
code strings, running with
customizable validations, running
objects, running
Python C
documentation
vs. JPython
Python versionschanges
Python integration
Python Interpreter
running Python from Java
SQL
append()
lists
applets browser, coding
Grail
writing in JPython
applications for Python
apply(), call syntax used instead of
argument lists
arrow option canvas widget
arrowshape option canvas widget
ASCII module
ASP (Active Server Pages)
assert statement, added in v1.5
assignment operators
asynchat module
asyncore module
attributes
2nd
class
COM servers and
automatic GUI construction
|


Kenneth Mok's resume
Email<EMAIL_ADDRESS>Tel<PHONE_NUMBER>5 English Version git blog
SUMMARY:
Linux administrator with Perl Programe languages skill.
GNU/Linux system administrator with over 8 years of work experience. Extensive experience maintaining and troubleshooting Linux, WEB, SQL applications, security software and networking.
Skills:
- Operating systems: .
- Gentoo
- Debian 5,6,7
- Redhat Linux (CentOS5-6)
- ubuntu desktop
- coding .
- Perl
- Shell scripting
- Sed
- Awk
- Make
- Git
- PHP
- Java
- Monitoring .
- Perl
- SNMP Cacti
- tcpdump
- curl
- mysql-client
- Web & Databases HA .
- keepalived, ipvsadmin and nginx layer 7 deployment
- replication mysql database
WORK EXPERIENCE:
- 2013 - CURRENT Position: Linux Administrator for
www.igrandbuy.com.
- GNU/Linux infrastructure design and management. (CentOS5,6)
- Advanced provisioning and automation with Perl and SHELL script.
- HTTP Load Balancing solutions, including keepalived, ipvsadmin and nginx layer 7 deployment.
- replication mysql database.
- Worked with: CentOS, Perl, nginx, mysql, cacti, php-fpm, perl-fcgi, curl, httperf and others.
- 2007 - 2013 Position: Linux Administrator for
clifford estate panyu.
- Linux's administrator, bash scripts writing for maintenance or specific requirements. Also in charge of networking administration
- OS and software Worked with: gentoo, dhcp-server, postfix, samba, tcpdump, iredmail, ntpd, ubuntu-desktop, ftp, mysql
- networking worked with: CISCO, H3C
- 2006 - 2007 Position: Technical Support for
prayaya.
- Proficiency in writing English version instruction, demonstrating and troubleshooting for both local and foreign customers, training the fresh employees, collecting and reporting the testing results as well as administrate and maintain networking.
- Worked with: ubuntu
- 2003 - 2006 Position: documentary for
Tai-Harbor industrial limited, ShenZhen.
- Translated email from Chinese to English, answered the questions raised by foreign clients on phone in English.
FORMAL EDUCATION:
- 1999-2003 - Bachelor's degree from Guangdong University of Technology Majors in Metal Engineering.


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| DOSE: |
2 joints/cigs |
smoked |
Cannabis |
(plant material) |
A little background on this story: I'm a 20 year old female, 5'3 and 115 pounds. This experience occurred several months ago. I was 19, never smoked pot before, and wasn't a regular drinker of alcohol. I consider this my 'first time' with weed, although I had smoked it twice before without much effect. This is the beginning of my love affair with Cannabis. I was getting to be good friend's with my boyfriend's (now ex) mom. I'm still good friends with both of them. I'd tried getting high before and nothing had happened, so we'd decided to try again tonight. I was there with S (my bf's mom), her daughter L, who was watching TV, not participating, and her adult niece T.
(during/after first joint)
I start to notice changes in my environment. S's voice becomes louder, and the TV and radio ring louder and more dominantly in my ears. A buzzing/ringing sound in my ears. I still get this. I feel my movements are slower and more dragged down than usual. I can focus on things better, and I feel kinda good. S is very entertaining, very talkative, and very cool. I'm smiling and grinning a lot more than usual. I sketchily try to tell S about the buzzing thing. She seems to kind of understand. She asks me if I'm high. I'm not sure I believe it yet, but I say: 'Yeah, I think so.'
'Well, you wanna smoke some more?'
'I dunno, I'm pretty high.' I was a little scared to get more stoned. I was afraid I might lose control of myself and start laughing my ass off and not be able to stop, or start scrounging their kitchen for goodies (though I know they wouldn't care if I did), or most importantly, not enact any crazy, exacerbated OCD thoughts or impulses, which I'd worried about when contemplating on whether I wanted to try getting high or not. In my experience, being high has never, EVER caused a problem with my OCD. More likely it has helped to get my mind off of such things.
'Well, maybe you should smoke some more if you're not sure,' says S, reaching for her 'things'.
I tell her: 'That's okay. You don't have to roll another joint.'
'No, you'll get high tonight,' she says, exchanging a knowing look with her niece. 'T's the best roller.' S hands her the paraphernalia, and T begins to roll up a second joint.  I've noticed she does this when she's stoned. 'It's true.'
(after second joint)
After we finished smoking, my boyfriend suggests we take a ride on the golf cart through their property. They own about 25 acres, maybe more. He thinks it would be a good idea since it's dark, and I'm stoned. I'm a little apprehensive, feeling slightly paranoid and worried about whether I could handle being outside in this state, but I also think it sounds fun, like an adventure, so I say it's cool and we leave to go outside.
It is hard to walk. It feels like I am walking through thick walls of goo. I'm wobbly. Giggly, but holding back laughter. However, an almost permanent grin is etched across my face, stretching from ear to ear. We get in the golf cart and start driving around. My boyfriend asks me to explain to him what it feels like to be high. He had only tried it a couple of times with a very lose dose and minimal effects, and he'd never been too impressed by the outcome. I try to explain the thickness of the atmosphere and the heaviness of my body. I also tell him that I feel like I'm in a dream. I kept forgetting that I was high and spending time at my boyfriend's house, and repeatedly thought I was in a dream. As soon as these thoughts occurred to me I would usually remember where I was. I told him this.
'Wow,' he says. 'That sounds cool! I might want to try getting high again.'
We drive to the lake, where my bf parks and gets out. I decide to stay in the golf cart. I don't feel like walking in mud puddles (it's cold and rainy), but if he asks me to get out, I will. I wait patiently for a minute or so, when I start to wonder why he's out there. It's dark out and I'm getting kind of nervous. I think I was probably getting paranoid. He's starting to walk back when I yell: 'What were you looking for?'
'Sorry,' he says. 'I wanted to see if I could find a bullfrog.'
As we enter the house I am attacked with laughter. I am realizing how obvious it might be to everyone that I am stoned and that I might be acting foolish, so I'm embarassed. Which is ironically funny in a weird way, and I laugh. Well, I can't stop laughing, and my face begins to ache. S and T are in the kitchen and notice me. They can't help but laugh, which makes me laugh EVEN MORE. They exchange knowing glances, and one of them says to the other: 'Oh, yeah.  I'm starting to feel very fatigued, drowsy, weighed down, and unsteady. I close my eyes and throw my arm and leg over my boyfriend, completely wrapping myself around him. It doesn't occur to me that this is so much out of the ordinary, because we cuddled a lot, but I'm actually gripping him pretty firmly (though gently) and huddled up very close to him. I feel better, and very, very, relaxed.
He says: 'I feel like you're very close to me.' I think about this for a while, trying to decide what he means by it. I am very physically close to him, but I think he means spiritually as well, which I am. I spent the night at their house and when I woke up the next day I was still stoned.
I still am. ,) Happy Toking!
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


darwpy package¶
Submodules¶
darwpy.algos module¶
-
darwpy.algos.
GA
(domain, fitness, N=50, generations=1000)¶ - Parameters
domain (dict) – A <domain> dictionary
fitness (func) – A fitness function that accepts a sol
N (int) – The number of individuals per generation
generations (int) – The number of generations
- Returns
- tuple containing:
np.array : The 2D array with the final solutions
np.array : The fitness profile as 1D
- Return type
(tuple)
darwpy.operators module¶
-
darwpy.operators.
draw_sol
(domain_gene)¶ Given the <domain>, draw a valid solution for gene <i>
-
darwpy.operators.
evaluate
(pop, fitness_func, fit_col=-1, extra_cols=2)¶ - Args
pop (np.array) : The matrix of solution to score fitness_func (obj): The fitness function
- Returns
np.array :
-
darwpy.operators.
init_pop
(N, domain, fitness_func)¶
-
darwpy.operators.
mutate
(sol, domain, mut_prob=0.02, mut_idx=[])¶ Mutates a solution
- Parameters
sol (np.array) – A solution vector [vector inlclues only genes]
domain (dict) – The DOMAIN dictionary containing info for each gene
mut_prob (float) – The probability to mutate each gene [0,1]
mut_idx (list) – If provided, will only mutate (with mut_prob=1) these indeces
- Returns
The (mutated) solution
- Return type
np.array
Note
No checks on <mut_prob> to ensure it is within [0,1] No checks if indeces in mut_idx are outside the size of <sol> and <domain>
-
darwpy.operators.
recombine
(sol1, sol2, recomb_events=1, hot_regions=None)¶ Recombines sol1 and sol2
- Parameters
sol1 (np.array) – The solution vector for parent 1 [vector inlclues only genes]
sol1 – The solution vector for parent 2 [vector inlclues only genes]
recomb_events (int) – The number of recombinations taking place
hot_regions (list) – Default is None, but if supplied sum(hot_regions) = 1 The probabilites of recomb for each locus in sol
- Returns
The recombined solution
- Return type
np.array
Note:
-
darwpy.operators.
sort_pop
(pop, gen_col=-2, fit_col=-1)¶ - Args
pop (np.array): TYPE gen_col (int): TYPE, optional fit_col (int): TYPE, optional
- Returns
np.array : The sorted <POP> 2d array accroding to the criteria
- Note
Currently sorting on fitness,generations that tends to keep older (good) solutions in the population
-
darwpy.operators.
strategy_breed
(parents, nkids, domain, genN, pS1=0.2, mut_prob=0.2)¶ Get the next generation by rotating the elite parents
- Args
parents (np.array): The 2D matrix with the parents (last column is fitness) nkids (int) : The number of kids to produce domain (dict) : genN (int) : The generation number to mark in kids pS1 (float) : The proportion of elite parents [0-1 range] mut_prob (float) : The mutation probability to pass to mutate()
- Returns
np.array : a 2D matrix with the new kids


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Testing - benchmark/local files
These files generate data that shows request-per-second (RPS), etc. Typically, files are in pairs, a shell script and a Ruby script. The shell script starts the server, then runs the Ruby file, which starts client request stream(s), then collects and logs metrics.
response_time_wrk.sh
This uses wrk for generating data. One or more wrk runs are performed. Summarizes RPS and
wrk latency times. The default for the -b
argument runs 28 different client request streams,
and takes a bit over 5 minutes. See 'Request Stream Configuration' below for -b
argument
description.
Summary output for
benchmarks/local/response_time_wrk.sh -w2 -t5:5 -s tcp6
:
Type req/sec 50% 75% 90% 99% 100% Resp Size
───────────────────────────────────────────────────────────────── 1kB
array 13710 0.74 2.52 5.23 7.76 37.45 1024
chunk 13502 0.76 2.55 5.28 7.84 11.23 1042
string 13794 0.74 2.51 5.20 7.75 14.07 1024
io 9615 1.16 3.45 7.13 10.57 15.75 1024
───────────────────────────────────────────────────────────────── 10kB
array 13458 0.76 2.57 5.31 7.93 13.94 10239
chunk 13066 0.78 2.64 5.46 8.18 38.48 10320
string 13500 0.76 2.55 5.29 7.88 11.42 10240
io 9293 1.18 3.59 7.39 10.94 16.99 10240
───────────────────────────────────────────────────────────────── 100kB
array 11315 0.96 3.06 6.33 9.49 17.69 102424
chunk 9916 1.10 3.48 7.20 10.73 15.14 103075
string 10948 1.00 3.17 6.57 9.83 17.88 102378
io 8901 1.21 3.72 7.48 11.27 59.98 102407
───────────────────────────────────────────────────────────────── 256kB
array 9217 1.15 3.82 7.88 11.74 17.12 262212
chunk 7339 1.45 4.76 9.81 14.63 22.70 264007
string 8574 1.19 3.81 7.73 11.21 15.80 262147
io 8911 1.19 3.80 7.55 15.25 60.01 262183
───────────────────────────────────────────────────────────────── 512kB
array 6951 1.49 5.03 10.28 15.90 25.08 524378
chunk 5234 2.03 6.56 13.57 20.46 32.15 527862
string 6438 1.55 5.04 10.12 16.28 72.87 524275
io 8533 1.15 4.62 8.79 48.15 70.51 524327
───────────────────────────────────────────────────────────────── 1024kB
array 4122 1.80 15.59 41.87 67.79 121.00 1048565
chunk 3158 2.82 15.22 31.00 71.39 99.90 1055654
string 4710 2.24 6.66 13.65 20.38 70.44 1048575
io 8355 1.23 3.95 7.94 14.08 68.54 1048498
───────────────────────────────────────────────────────────────── 2048kB
array 2454 4.12 14.02 27.70 43.48 88.89 2097415
chunk 1743 6.26 17.65 36.98 55.78 92.10 2111358
string 2479 4.38 12.52 25.65 38.44 95.62 2097502
io 8264 1.25 3.83 7.76 11.73 65.69 2097090
Body ────────── req/sec ────────── ─────── req 50% times ───────
KB array chunk string io array chunk string io
1 13710 13502 13794 9615 0.745 0.757 0.741 1.160
10 13458 13066 13500 9293 0.760 0.784 0.759 1.180
100 11315 9916 10948 8901 0.960 1.100 1.000 1.210
256 9217 7339 8574 8911 1.150 1.450 1.190 1.190
512 6951 5234 6438 8533 1.490 2.030 1.550 1.150
1024 4122 3158 4710 8355 1.800 2.820 2.240 1.230
2048 2454 1743 2479 8264 4.120 6.260 4.380 1.250
─────────────────────────────────────────────────────────────────────
wrk -t8 -c16 -d10s
benchmarks/local/response_time_wrk.sh -w2 -t5:5 -s tcp6 -Y
Server cluster mode -w2 -t5:5, bind: tcp6
Puma repo branch 00-response-refactor
ruby 3.2.0dev (2022-06-14T01:21:55Z master 048f14221c) +YJIT [x86_64-linux]
[2136] - Gracefully shutting down workers...
[2136] === puma shutdown: 2022-06-13 21:16:13 -0500 ===
[2136] - Goodbye!
5:15 Total Time
bench_base.sh, bench_base.rb
These two files setup parameters for the Puma server, which is normally started in a shell script. It then starts a Ruby file (a subclass of BenchBase), passing arguments to it. The Ruby file is normally used to generate a client request stream(s).
Puma Configuration
The following arguments are used for the Puma server:
-C
- configuration file-d
- app delay-r
- rackup file, often defaults to test/rackup/ci_select.ru-s
- bind socket type, default is tcp/tcp4, also tcp6, ssl/ssl4, ssl6, unix, or aunix (unix & abstract unix are not available with wrk).-t
- threads, expressed as '5:5', same as Puma --thread-w
- workers, same as Puma --worker-Y
- enable Ruby YJIT
Request Stream Configuration
The following arguments are used for request streams:
-b
- response body configuration. Body type options are a array, c chunked, s string, and i for File/IO. None or any combination can be specified, they should start the option. Then, any combination of comma separated integers can be used for the response body size in kB. The string 'ac50,100' would create four runs, 50kb array, 50kB chunked, 100kB array, and 100kB chunked. See 'Testing - test/rackup/ci-*.ru files' for more info.-c
- connections per client request stream thread, defaults to 2 for wrk.-D
- duration of client request stream in seconds.-T
- number of threads in the client request stream. For wrk, this defaults to 80% of Puma workers * max_threads.
Notes - Configuration
The above lists script arguments.
bench_base.sh
contains most server defaults. Many can be set via ENV variables.
bench_base.rb
contains the client request stream defaults. The default value for
-b
is acsi1,10,100,256,512,1024,2048
, which is a 4 x 7 matrix, and hence, runs
28 jobs. Also, the i body type (File/IO) generates files, they are placed in the
"#{Dir.tmpdir}/.puma_response_body_io"
directory, which is created.
Notes - wrk
The shell scripts use -T
for wrk's thread count, since -t
is used for Puma
server threads. Regarding the -c
argument, wrk has an interesting behavior.
The total number of connections is set by (connections/threads).to_i
. The scripts
here use -c
as connections per thread. Hence, using -T4 -c2
will yield a total
of eight wrk connections, two per thread. The equivalent wrk arguments would be -t4 -c8
.
Puma can only process so many requests, and requests will queue in the backlog until Puma can respond to them. With wrk, if the number of total connections is too high, one will see the upper latency times increase, pushing into the lower latency times as the connections are increased. The default values for wrk's threads and connections were chosen to minimize requests' time in the backlog.
An example with four wrk runs using -b s10
. Notice that req/sec
varies by
less than 1%, but the 75%
times increase by an order of magnitude:
req/sec 50% 75% 90% 99% 100% Resp Size wrk cmd line
─────────────────────────────────────────────────────────────────────────────
13597 0.755 2.550 5.260 7.800 13.310 12040 wrk -t8 -c16 -d10
13549 0.793 4.430 8.140 11.220 16.600 12002 wrk -t10 -c20 -d10
13570 1.040 25.790 40.010 49.070 58.300 11982 wrk -t8 -c64 -d10
13684 1.050 25.820 40.080 49.160 66.190 12033 wrk -t16 -c64 -d10
Finally, wrk's output may cause rounding errors, so the response body size calculation is imprecise.


Javascript and Java
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Javascript and Python
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Ruby and Java
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This is a description of the topic contained on the technical documentation
Javascript and Java
Javascript and Python
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| Class and Description |
|---|
| Joint
A Joint represents the values and properties of a DoF (degree of freedom) of
a Robot.
|
| Joint.Id
Joint.Id is an immutable identifier for a Joint within a Robot or
ServoController.
|
| JointProperty
Defines additional properties or capabilities of a given Joint, such as \
position feedback or moving speed.
|
| Robot
A Robot provides access to a List of Joints backed by a List of
JointControllers.
|
| Robot.Id
Id is an immutable globally unique identifier for a Robot.
|
| Robot.JointId
JointId is an immutable globally unique identifier for a Joint
belonging to a Robot.
|
| Robot.RobotPositionMap
RobotPositionMap expected by the Robot.
|
| Class and Description |
|---|
| Robot
A Robot provides access to a List of Joints backed by a List of
JointControllers.
|
| Robot.RobotPositionMap
RobotPositionMap expected by the Robot.
|
| Class and Description |
|---|
| JointProperty
Defines additional properties or capabilities of a given Joint, such as \
position feedback or moving speed.
|
| JointProperty.ReadOnly
Defines a JointProperty which can read but not write.
|
| Class and Description |
|---|
| Joint
A Joint represents the values and properties of a DoF (degree of freedom) of
a Robot.
|
| Robot
A Robot provides access to a List of Joints backed by a List of
JointControllers.
|
| Robot.Id
Id is an immutable globally unique identifier for a Robot.
|
| Robot.JointId
JointId is an immutable globally unique identifier for a Joint
belonging to a Robot.
|
| Class and Description |
|---|
| Robot
A Robot provides access to a List of Joints backed by a List of
JointControllers.
|
| Robot.Id
Id is an immutable globally unique identifier for a Robot.
|
| Class and Description |
|---|
| AbstractRobot
Provides common functionality for Robot implementations
|
| Joint
A Joint represents the values and properties of a DoF (degree of freedom) of
a Robot.
|
| Joint.Id
Joint.Id is an immutable identifier for a Joint within a Robot or
ServoController.
|
| JointProperty
Defines additional properties or capabilities of a given Joint, such as \
position feedback or moving speed.
|
| Robot
A Robot provides access to a List of Joints backed by a List of
JointControllers.
|
| Robot.Id
Id is an immutable globally unique identifier for a Robot.
|
| Robot.JointId
JointId is an immutable globally unique identifier for a Joint
belonging to a Robot.
|
| Robot.RobotPositionMap
RobotPositionMap expected by the Robot.
|
| Class and Description |
|---|
| Joint.Id
Joint.Id is an immutable identifier for a Joint within a Robot or
ServoController.
|
| Robot.Id
Id is an immutable globally unique identifier for a Robot.
|
| Robot.RobotPositionMap
RobotPositionMap expected by the Robot.
|
| Class and Description |
|---|
| AbstractJoint
Abstract implementation providing much of the functionality need to implement
various Joints.
|
| AbstractRobot
Provides common functionality for Robot implementations
|
| Joint
A Joint represents the values and properties of a DoF (degree of freedom) of
a Robot.
|
| Joint.Id
Joint.Id is an immutable identifier for a Joint within a Robot or
ServoController.
|
| JointProperty
Defines additional properties or capabilities of a given Joint, such as \
position feedback or moving speed.
|
| Robot
A Robot provides access to a List of Joints backed by a List of
JointControllers.
|
| Robot.RobotPositionMap
RobotPositionMap expected by the Robot.
|
| Class and Description |
|---|
| Joint.Id
Joint.Id is an immutable identifier for a Joint within a Robot or
ServoController.
|
| Robot.Id
Id is an immutable globally unique identifier for a Robot.
|
| Class and Description |
|---|
| AbstractJoint
Abstract implementation providing much of the functionality need to implement
various Joints.
|
| Joint
A Joint represents the values and properties of a DoF (degree of freedom) of
a Robot.
|
| Joint.Id
Joint.Id is an immutable identifier for a Joint within a Robot or
ServoController.
|
| JointProperty
Defines additional properties or capabilities of a given Joint, such as \
position feedback or moving speed.
|
| Robot
A Robot provides access to a List of Joints backed by a List of
JointControllers.
|
| Class and Description |
|---|
| AbstractRobot
Provides common functionality for Robot implementations
|
| Joint.Id
Joint.Id is an immutable identifier for a Joint within a Robot or
ServoController.
|
| Robot
A Robot provides access to a List of Joints backed by a List of
JointControllers.
|
| Robot.Id
Id is an immutable globally unique identifier for a Robot.
|
| Robot.RobotPositionMap
RobotPositionMap expected by the Robot.
|
| Class and Description |
|---|
| Robot
A Robot provides access to a List of Joints backed by a List of
JointControllers.
|
| Robot.Id
Id is an immutable globally unique identifier for a Robot.
|
| Robot.JointId
JointId is an immutable globally unique identifier for a Joint
belonging to a Robot.
|
| Robot.RobotPositionMap
RobotPositionMap expected by the Robot.
|
Copyright © 2011–2014. All rights reserved.


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About Me
I am a self-motivated polymath and I love coding!. Right from my childhood, I was very keen on
technology and how it could be used to make our lives better. I love to use my skills to find optimal
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I am also working as a part-time Graduate Research Assistant at UNC Charlotte as I look to further hone
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By the Way, I'm #OPENTOWORK


Values
|
| RT_TYPE_INVALID |
- Summary
- specifies that the structure of the given blob is unknown and can't be
read.
|
| RT_TYPE_INTERFACE |
- Summary
- specifies that the blob represents an interface type. An interface blob
can contain a base interface, attributes and methods.
|
| RT_TYPE_MODULE |
- Summary
- specifies that the blob represents a module type. A module blob can
contain a base module and constant members (fields).
|
| RT_TYPE_STRUCT |
- Summary
- specifies that the blob represents a struct type. A struct blob can
contain a base struct and members (fields).
|
| RT_TYPE_ENUM |
- Summary
- specifies that the blob represents an enum type. An enum blob can
contain enum values which are accessible as fields.
|
| RT_TYPE_EXCEPTION |
- Summary
- specifies that the blob represents an exception type. An exception blob
can contain a base exception and members (fields).
|
| RT_TYPE_TYPEDEF |
- Summary
- specifies that the blob represents a typedef type. A typedef blob can
contain a base type.
|
| RT_TYPE_SERVICE |
- Description
- specifies that the blob represents a service type. A service blob can
contain a base service, properties (fields), references to services or
interfaces.
|
| RT_TYPE_SINGLETON |
- Summary
- specifies that the blob represents a singleton type (a named object)
which refers exactly one existing service.
|
| RT_TYPE_OBJECT |
- Summary
- deprecated, not used.
|
| RT_TYPE_CONSTANTS |
- Summary
- specifies that the blob represents a constants type. A constants blob
can contain constant types as fields.
|
| RT_TYPE_UNION |
- D E P R E C A T E D
- Summary
- a union type was evaluated but currently not supported.
|
Copyright © 2012, The Apache Software Foundation, Licensed under the Apache License, Version 2.0. Apache, the Apache feather logo, Apache OpenOffice and OpenOffice.org are trademarks of The Apache Software Foundation. Other names may be trademarks of their respective owners.


These functions are all called before Automizy Email Editor is visible. To check how they work reload this page, and inspect the console log.
$AEE.init(func)
This function starts to load the Automizy Email Editor in the background.
Please note that after loading finished, AEE won't show up automatically, you have to call the $AEE.open() function too.
You can also set the callback function shown in the example.
Parameters:
func : The function you want to invoke.
|
//Call the $AEE.init() function from console, and then the $AEE.open() function to open the editor.
//Setter
$AEE.init(function(){
console.log('INIT STARTED!');
}); //return $AEE
//Trigger
$AEE.init(); //return $AEE
|
$AEE.scriptLoaded(function(editorStatus){})
The function given as parameter will be called when a plugin is fully loaded. The function will get data about the status of the editor as parameter.
Parameters:
editorStatus : Loading data of the editor.
|
$AEE.scriptLoaded(function(editorStatus){
console.log('PLUGIN LOAD: ', editorStatus);
}); //return $AEE
$AEE.init();
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$AEE.ready(func)
The function given as parameter will be called when all plugis are fully loaded.
Please note that at this state the elements of the editor are not available yet.
Parameters:
func : The function you want to invoke.
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$AEE.ready(function(){
console.log('ALL PLUGIN LOADED');
}); //return $AEE
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$AEE.layoutReady(func)
The function given as parameter will be called when the editor is fully loaded. In this state all elements of the editor are available.
Parameters:
func : The function you want to invoke.
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$AEE.layoutReady(function(){
console.log('LAYOUT READY');
}); //return $AEE
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$AEE.open(func)
This function opens the editor.
You can also set the callback function shown in the example.
Parameters:
func : The function you want to invoke.
|
//Setter
$AEE.open(function(){
console.log('AEE OPENED!');
}); //return $AEE
//Trigger
$AEE.open(); //return $AEE
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$AEE.close(func)
This function closes the editor.
You can also set the callback function shown in the example.
Parameters:
func : The function you want to invoke.
|
//Setter
$AEE.close(function(){
console.log('AEE CLOSED!');
}); //return $AEE
//Trigger
$AEE.close(); //return $AEE
|


Facilitator Fees
Overview
The facilitator fee is the application feature which allows a percentage or flat rate amount removed from every transaction as a fee and sent to the creator of the application / the Dwolla ID associated with their account. This fee comes out of the transaction total and is not appended to the transaction total itself.
Facilitator fees can be expressed in one of two ways:
- Percentage: The fee is a percentage of the transaction that the facilitator receives not exceeding 50% of the transaction total.
- Fixed Rate: The fee is a flat rate greater than $0.01 and not exceeding 50% of the transaction total.
Setting Facilitator Fees
The facilitator fee can either be set in your Dwolla application settings, or per each transaction via the API. Please note that if custom fees are specified via the API they will override the application settings set via the Dwolla web portal.
Dwolla Application Settings
In production, click here and log in to view your list of applications, then hit "Edit Features".
The "Facilitator Fee" section will allow you to set your fee as either a fixed rate, or as in the example below, a percentage. Hit "Update Features" when you are finished making your changes.
Using the API / Overriding
If certain products or services require you to list different or multiple facilitator fees, the Dwolla API can be used in order to override the application settings and provide different fees for the transaction being sent. The fees can be modified/set via the facilitatorAmount
and additionalFees
parameters.
Parameter Details
| Parameter | Description |
|---|---|
| facilitatorAmount | Amount of the facilitator fee to override. Only applicable if the facilitator fee feature is enabled. If set to 0, facilitator fee is disabled for transaction. Cannot exceed 50% of the 'amount'. |
| additionalFees | Array of additional facilitator fees |
| --> destinationId | Facilitator's Dwolla ID |
| --> amount | Amount of fee |
The following endpoints currently support the facilitatorAmount
and additionalFees
parameters:
- transactions/send
- requests/request
- payment/pay (Off-site Gateway)
- offsitegateway/checkouts (Off-site Gateway)
Example
Let's say that your application is currently configured to take a 15% fee in order to compensate for the delivery of your services. You would like to offer your product via digital download and waive your 15% fee for the transaction.
A standard HTTP request, with the 15% fee configured in your application settings would look like this:
HTTP Request
POST https://www.dwolla.com/oauth/rest/requests/
Content-Type: application/json
{
"oauth_token": "token_goes_here",
"sourceId": "812-133-7777",
"amount": "24.99"
}
In order to waive the fee, add the facilitatorAmount
parameter and set it to 0
as such:
HTTP Request
POST https://www.dwolla.com/oauth/rest/requests/
Content-Type: application/json
{
"oauth_token": "token_goes_here",
"sourceId": "812-133-7777",
"amount": "24.99",
"facilitatorAmount": "0"
}
Using the Dwolla Libraries
If you are using our libraries, the examples below will take you step by step and show you how to pass facilitator fees to the transactions/send
and transaction/request
endpoints:
<?php
// Include the Dwolla REST Client
require '../lib/dwolla.php';
// Include any required keys
require '_keys.php';
// Instantiate a new Dwolla REST Client
$Dwolla = new DwollaRestClient();
// Seed a previously generated access token
$Dwolla->setToken($token);
// Send $1.00 to a Dwolla ID with a $5.00 facilitator fee.
$transactionId = $Dwolla->send($pin, '812-734-7288', 1.00, 'Dwolla', 'Thanks for the coffee!', 5.00);
// Request $10.00 from a Dwolla ID with a $1.00 facilitator fee.
$requestId = $Dwolla->request('812-234-4567', 10.00, 'Dwolla', 'Payment for lunch!', 1.00);
?>
# Include the Dwolla gem
require 'rubygems'
require 'pp'
require '..\lib\dwolla'
# Include any required keys
require './_keys.rb'
# Instantiate a new Dwolla User client
# And, seed a previously generated access token
Dwolla::token = @token
Dwolla::debug = true
Dwolla::sandbox = true
# Send money ($1.00) to a Dwolla ID with a $1.50 facilitator fee.
transactionId = Dwolla::Transactions.send({:destinationId => '812-626-8794', :amount => 1.00, :pin => @pin, :facilitatorAmount => '1.50'})
# dwolla-ruby does not support the `transactions/request` endpoint at this time.
from dwolla import transactions, constants, request
# Configure the library (change these)
constants.sandbox=False
constants.client_id = "..."
constants.client_secret = "..."
constants.access_token = "..."
constants.pin = 1234
# Example 1: Send $5.50 to a Dwolla ID, with a $2.00 facilitator fee.
print(transactions.send('812-197-4121', 5.50, additionalFees=[{"destinationId": "812-122-1234", "amount": 2.00}]))
# Example 2: Request $5.50 from<PHONE_NUMBER> with a 2.00 facilitator fee.
print(request.create('812-740-3809', 5.50, additionalFees=[{"destinationId": "812-122-1234", "amount": 2.00}]))
var dwolla = require('../lib/dwolla');
var c = require('../config');
// Pass the facilitatorAmount parameter in with 2.00
var params = { facilitatorAmount: 2.00 };
// Send $1.00 to a Dwolla ID with a $2.00 facilitator fee.
dwolla.send(c.token, c.pin, '812-626-8794', 1.00, params, function(err, tran) {
console.log(err);
console.log(tran);
});
// Request $10.00 from a Dwolla ID with a $2.00 facilitator fee. (params is reused)
dwolla.request(c.token, c.pin, '812-626-8794', 10.00, params, function(err, tran) {
console.log(err);
console.log(tran);
});


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