The Scheduled refresh feature in Power BI allows you to define the frequency and time slots to refresh a particular dataset. Scheduling the refresh of your data will save you time because you don't have to manually refresh the data. It also ensures that users can access the most up-to-date data.
In this example, you are creating a report, but then realize that the version of the sales data that you're using isn't the most up to date. You check the refresh status and notice that it was last refreshed 10 days ago, and no refresh is scheduled to take place.
Considering how important it is to have accurate sales data, you need to find a solution. Usually, the data is updated weekly, but you don't want to return to the report every week to manually refresh the dataset, and you know that you occasionally forget to do so.
Before you can set up a refresh schedule, you need to have created a gateway connection.
To set up a refresh schedule for your dataset, follow these steps:
Go to the Datasets + dataflows page.
Hover over the dataset for which you want to set up the schedule and then select the Schedule refresh icon.
On the Settings page, turn on the Scheduled refresh feature.
Select the Refresh frequency and ensure that the correct time zone is selected.
Add the time(s) that you want the refresh to occur. You can configure up to eight daily time slots, if your dataset is on shared capacity, or 48 time slots on Power BI Premium.
When you have finished configuring the scheduled refresh, select Apply.
Note
While you can set a time for the refresh, be aware that the refresh might not take place at that exact time. Power BI starts scheduled refreshes on a best effort basis. The goal is to initiate the refresh within 15 minutes of the scheduled time slot, but a delay of up to one hour can occur if the service can't allocate the required resources sooner.
In this example, you want the system to refresh the sales data on a daily basis, at 6:00 AM, 10:00 AM, and 3:00 PM, as illustrated in the following image.
When you have configured a refresh schedule, the dataset settings page informs you of the next refresh time, as shown in the following image.
In addition to the scheduled refreshes, you can refresh a dataset at any time by performing an on-demand refresh. This type of refresh doesn't affect the next scheduled refresh time.
For example, you might want to refresh now because you need to view the most recent data and can't wait for the next refresh time, or you might want to test your gateway and data source configuration.
To perform an on-demand refresh, on the Datasets + dataflows page, hover over the dataset that you want to refresh and then select the Refresh now icon.
You can check the refresh status and history at any time. This feature is useful if you want to find out when the last refresh occurred and when the next one is scheduled. It is also good practice to check the status of your datasets occasionally to check if refresh errors have occurred.
Note
Power BI deactivates your refresh schedule after four consecutive failures or when the service detects an unrecoverable error that requires a configuration update, such as invalid or expired credentials. It is not possible to change the consecutive failures threshold.
A quick way to check the refresh status is to view the list of datasets in a workspace.
If a dataset displays a small warning icon, you'll know that the dataset is currently experiencing an issue. Select the warning icon to get more information.
You should also check the refresh history occasionally to review the success or failure status of past synchronization cycles. To view the refresh history, open the dataset's settings page and then select Refresh history.


Required blueprints to remodel ships
? Help Topics
What is this page?
This page shows player's ships with required remodeling materials, such as blueprints.
What do gray materials mean?
They indicate you have already used those materials to get corsponding remodeled ships.
What the differences about All Ships view?
All Ships view shows you all the ships implemented by KanColle game for now require blueprints materials on remodeling.
It also tries to show you already used materials and total needs by checking ships you owned.
Different from Owned Ships view, some columns changed:
- ID termed Master ID, identifies this type of ship at Ship Library;
- Level is the required level to next remodel of this ship;
- Requirements column also shows you the ship name of next remodel.
Why my data seem weird or wrong after game maintenance?
Sometimes KanColle devs may not update remodel info in time or put dummy data into API result if multi maintenances scheduled shortly.
To fix such issues after in-game data stable, you might try to refresh our remodel info cache by clicking
'Clear Ship Remodel Information' link at
Profile page.


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Your identification will be send to this address.
| challenger_id_rs | {{challenger_id_rs}} |
| challenger_publicKey | {{challenger_publicKey}} |
| identifier_id_rs | {{identifier_id_rs}} |
| challenger_name | {{challenger_name}} |
| challenger_url | {{challenger_url}} |
| encryptedJSON | {{encryptedJSON}} |
| decryptedJSON | {{decryptedJSON}} |
| challenge_text | {{challenge_text}} |
| challenge_response | {{challenge_response}} |
| HTTP | {{http_args | json}} |


---
title: "GIS and Remote Sensing"
excerpt: "Using GIS and remote sensing application(s) and products in environmental studies
"
collection: portfolio
---
* ArcGIS geospatial data analysis, database construction and management, cartographic mapping and building models
* Remote sensing products: (Advanced Microwave Scanning Radiometer- EOS [AMSR-E], Moderate Resolution Imaging Spectroradiometer [MODIS] and Landsat) and image processing softwares (Environment for Visualizing Images [ENVI], and Analytical Spectral Devices, Inc. [ASD] Field Spec)


--- layout: post authors: ["Greg Wilson"] title: Make It Easier to (Re)use Your Data date: 2013-05-03 time: "10:00:00" tags: ["Noticed"] ---
Software Carpentry has focused on computing for most of its 14 years (primarily because that's what I'm most familiar with) but it's increasingly clear that we need to tackle other parts of the research cycle. One is the new ideas clustered around publication, discovery and metrics, which I'll discuss in a future post. The other is data management; we only touch on the topic right now, but it's as important to most scientists as crunching numbers, and how best to do it is changing rapidly. Luckily, a few of our friends have written a guide for the perplexed:
Ethan P. White, Elita Baldridge, Zachary T. Brym, Kenneth J. Locey, Daniel J. McGlinn, and Sarah R. Supp: "Nine simple ways to make it easier to (re)use your data". Ideas in Ecology and Evolution, 6(2):1-10 DOI:10.4033/iee.2013.6b.6.f
Sharing data is increasingly considered to be an important part of the scientific process. Making your data publicly available allows original results to be reproduced and new analyses to be conducted. While sharing your data is the first step in allowing reuse, it is also important that the data be easy understand and use. We describe nine simple ways to make it easy to reuse the data that you share and also make it easier to work with it yourself. Our recommendations focus on making your data understandable, easy to analyze, and readily available to the wider community of scientists.
Their nine specific recommendations (elaborated at readable length in the paper) are:
It's a great outline for a half-day introduction to data management as part of an "extended play" Software Carpentry course, particularly when combined with William Stafford Noble's "A Quick Guide to Organizing Computational Biology Projects". We hope to turn the pair into lessons by September.


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+Focus
is a prefix class used to set the keyboard focus on
a specific GUI element. For example, it can be used to put the initial focus
on a specific input field in a search dialog. Examples of this usage can be
found in the demo app supplied with the PicoLisp distribution, in gui.l:
(de choCuSu (Dst)
(diaform '(Dst)
(<grid> "--.-.-."
,"Number" (gui 'nr '(+Var +NumField) '*CuSuNr 10)
,"Name" (gui 'nm '(+Focus +Var +TextField) '*CuSuNm 30)
,"Phone" (gui 'tel '(+Var +TelField) '*CuSuTel 20)
(searchButton '(init> (: home query)))
,"Zip" (gui 'plz '(+Var +TextField) '*CuSuPlz 10)
,"City" (gui 'ort '(+Var +TextField) '*CuSuOrt 30)
,"Mobile" (gui 'mob '(+Var +TelField) '*CuSuMob 20)
(resetButton '(nr nm tel plz ort mob query)) )
.
.
.
In the code above, +Focus
is used to give initial focus to
the "Name" input field.


Helping people get their money sorted can be good for business and the community. People without money worries will probably be less stressed and enjoy better relationships, may take fewer days off sick and may perform better at work.
If you want to help the people you work with or your community to get sorted we have a range of resources you can use - all of which are free, independent and impartial.
We have Sorted booklets on a range of topics, from goal setting and budgeting to investing and retirement planning. They'll arrive within four days of placing your order - and like all our resources, they are free.
You can deliver the seminars yourself, or you may wish to use an external facilitator. If you need help with finding a facilitator, here's a list of external facilitators who may be able to help.
We have Sorted booklets on a range of topics, blah blah blah
Enter your details to place your order for the resources selected above. Blah blah blah


 Unfortunately, while this science fiction/thriller has a premise with tremendous promise, the execution is hampered by obvious plot holes, inconsistent characters, and uneven acting. Despite all its flaws, however, TIME AFTER TIME still remains an entertaining--and occasionally fascinating--two hours, as well as a favorite among Meyer fans.
The plot postulates that H.G. Wells (Malcolm McDowell) not only wrote about a time machine, but actually created a working model. One night, a guest at a dinner party slips downstairs to put it to the test. This man turns out to be Jack the Ripper (David Warner), looking for an escape from the police, and now Wells must pursue him eighty years forward in time, to 1979 San Francisco. There, the writer/inventor falls in love with a young woman, Amy Robbins (Mary Steenburgen), whom he must protect from becoming one of the serial killer's twentieth- century victims.
The best aspect of TIME AFTER TIME is the "fish out of water" element. Later films, such as "CROCODILE" DUNDEE and STAR TREK IV (which, not coincidentally, Meyer co-wrote), have had great success with this sort of story--a naive outsider who is thrust into the confusion of a modern-day city--but TIME AFTER TIME did it a few years earlier. It's amusing to see Wells cope with modern-day traffic patterns, television, and fast food restaurants. In fact, his pursuit of the Ripper is often far less engaging than watching him struggle to understand the complexities of life in the late '70s.
While McDowell is fine as Wells, David Warner plays the Ripper as a run-of-the-mill psychopath--not at all the sort of fascinating, diabolical villain necessary to keep this film moving. All things considered, Jack is more likely to provoke a yawn than a surge of terror. Meyer's script distances him from us so that we never feel anything particularly strong for or against him.
Despite a certain charm and appeal, Mary Steenburgen, in one of her early roles, is awkward as Amy. This character is supposed to be a smart, assertive, liberated woman, yet the story continually places her in contrived and vulnerable positions. At times, her actions are more like those of a typical female victim in a slasher movie than a heroine worthy of H.G. Wells' attention.
There are a lot of nice touches in TIME AFTER TIME, but the overall plot is too obviously scripted. When a certain element in the time machine's construction is carefully pointed out twice, we know it's going to become important. This sort of thing happens repreatedly in TIME AFTER TIME--unsubtle hints at what's coming next. Fortunately, in future features, Meyer's direction would lose much of that heavy- handedness.
For those who expect a tightly-written mixture of the detective and science fiction genres, TIME AFTER TIME is bound to be a disappointment. It's more of a lighthearted fantasy/romance with a few thriller elements thrown in. Indeed, the movie might have worked better had Jack the Ripper not been around at all. Alas, he is the engine that keeps the plot moving, and there are times when his very presence weighs down this movie like a proverbial albatross.
- James Berardinelli<EMAIL_ADDRESS>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


Richard Feynman
Theoretical physicist, Nobel Prise Winner, Teacher, The Father of Nanotechnology
Richard Phillips "Dick" Feynman (May 11, 1918 – February 15, 1988) was an American theoretical physicist, known for his work in the path integral formulation of quantum mechanics, the theory of quantum electrodynamics, and the physics of the superfluidity of supercooled liquid helium, as well as in particle physics for which he proposed the parton model. For contributions to the development of quantum electrodynamics, Feynman received the Nobel Prize in Physics in 1965 jointly with Julian Schwinger and Shin'ichirō Tomonaga. Along with his work in theoretical physics, Feynman has been credited with pioneering the field of quantum computing and introducing the concept of nanotechnology.
Here's a time line of Richard Feynman's life:
- Born on May 11, in Queens, New York City.
- Received B.S. from MIT.
- Received his Ph.D from Princeton Univercity.
- Married his high school sweetheart, Arline Greenbaum
- Worked on the Manhattan Project at Los Alamos
- Followed Hans Bethe to Cornell University where he joined the physics department and taught theoretical physics.
- Joined the faculty in the physics department at Caltech. Conducted his best work here in quantum electrodynamics and the physics of superfluidity.
- Won the Albert Einstein Award, which was worth $15000 and came with a gold medal.
- Married to Gweneth Howarth.
- Received the Nobel Prize in Physics for work in quantum electrodynamics, along with colleagues Julian Schwinger and Shinichiro Tomonaga.
- Received the Oersted Medal.
- Received the National Medal of Science award.
- Consulted for the Rogers Commission during the investigation of the Space Shuttle Challenger disaster.
- Feb 15th Died in Los Angeles, California, at age 69.  It's so boring."
On January 27, 2016, Bill Gates wrote an article "The Best Teacher I Never Had" describing Feynman's talents as a teacher which inspired Gates to create Project Tuva to place the videos of Feynman's Messenger Lectures on a website for public viewing.


Miscellaneous Commands
Describe Access-command
describe Access-command
Available from Access sessions within an interactive environment (as one started in the Browser), this command prints a short description and usage for the command Access-command. This lightweight form of online help can be useful during interactive sessions:
describe where
ast code: where
returns
codeintegrity command: where
Collective command for "where" queries
where [ declared | defined | included | referenced | used ] entity_name ...
Info Commands
info commands [glob-pattern]
This command is not a true Access command, but the Tcl info commands includes the list of Access commands added to the interpreter. If a pattern is specified, the result is filtered for commands that match the pattern. It is useful in conjunction with describe.
Info Attributes
info attributes [glob-pattern]
This command returns the complete list of Access attributes. (Access adds the “attributes” selector to the Tcl info command.) If glob-pattern is specified, return only those attributes that match glob-pattern.
> Filename
> filename command
This command redirects the output of command to filename. The contents of filename are overwritten. This command should only be used to capture output from the print command (or tree print), which does not return the string it prints; in other cases more traditional forms of output work equally well.
>> Filename
>> filename command
This command is similar to >, but appends its output to filename.


Please activate JavaScript to enable the search functionality.
From here you can search these documents. Enter your search words into the box in the navigation bar and press "Enter". Note that the search function will automatically search for all of the words. Pages containing fewer words won't appear in the result list.


Hi,
This is a BTC cold storage confirmation message
${newMessage.address}
View transaction
Regards,
Felipe


Light Chroma, Solo show, Angus-Hughes Gallery, Clapton, London. http://www.angus-hughes.com/
Geoscapes, Solo show ARTHOUSE1 Bermondsey, London. http://www.arthouse1.co.uk/
Portals of Phenomena, MM Gallery, Eaton Square, London
Silent Witnesses, Seven Seven Gallery, London
Memento, Gibsone Jessop Gallery, Toronto
Ditto Ditto, Catto Contemporary Gallery, Hoxton, London
Ice Line (2015) &
Microscopic Vignette (2013)
Light boxes
The Promise of Wholeness and Loveliness, Baraka post production, London
The Power of Taste, touring exhibition, Royal Over-Seas League, London / Edinburgh
Signs That Say What You Want Them To Say, Lights of London, curated by Robert Montgomery, Soho, London
Art Britannia, Miami, curated by Ben Austin
Summer Saloon, Lion and Lamb Gallery, Hoxton, London
Insomnia, The Arcane Gallery, Hoxton, London
Curated by Dave Stewart
Crash Open Salon Show, Charlie Dutton Gallery, London
Exhibiting artists selected by Mathew Collins & Fiona Macdonald
Nature in Beauty, Opus Fine Art, Stow-on-the-Wold
Intuition/Anti-intuition, The Lion and Lamb Gallery, Hoxton, London
Curated by Lawrence Noga.
Exhibiting artists: Anthony Daley, Katie Pratt, Marta Marce, Caroline List, Raf Zawistowski, Lawrence Noga.
Surface, Colart Gallery, London
Curated by Erika Winstone.
Exhibiting artists: Julie Bennett, Charlotte Betts, Keren Dee, Brian Deighton, Gill Ingham, Anita Kavaja, Matthew Kolakowski, Caroline List, Emanuelle de la Lubie, Brian Sayers, Susan Sluglett, Chris Wilson, Erika Winstone, Maria Zahle.
Ha Ha What Does This Represent, Standpoint Gallery, Hoxton, London
Curated by Katrina Blannin & Francesca Simons.
Exhibiting artists: Dan Hays, Roger Kelly, Matthew Collins & Emma Biggs, Vanessa Jackson, Trevor Sutton, Ben Cove, Daniel Sturgis, Alex Gene Morrison, James Ryan, Stewart Geddess, Gina Medcalf, Carole Roberts, Hazel Chalk, Katrina Blannin & Francesca Simons.
Crash Open Salon Show, Charlie Dutton Gallery, London
Exhibiting artists selected by Mathew Collins, Toby Clarke, Dan Hays & Mike Silva.
China International Luxury Exhibition, Shenyang, China
Shenyang Art fair, China
Art of Living, curated by Vestalia Chilton, Knightsbridge, London
Christie's Auction of Lehman Brothers collection, London
Unnatural Selection, Londonewcastle Project Space, London
Constructed Nature project space, Seven Seven Gallery, London Art Fair, Islington, London
Dover Street Arts Club members exhibition (first prize winner), London
TAG Fine Arts, London Art Fair
00 Nature, Contemporary Art Projects, London
Romance, the Kowalsky Gallery at DACS, London
Opus Gallery group show, Newcastle
Mist & Bells, Seven Seven Gallery ,London
Contemporary Art Projects winter show, London
London Art Fair Project Space, Seven Seven Gallery, Islington, London
Artificial Glory, Standpoint Gallery, London
Curated by Caroline List & Isabel Young.
Grotto Studio 1.1, London
Zoo Art fair, Gallery Studio 1.1
Petro Canada, corporate exhibition, London
Half Life, Fieldgate Gallery, London
Curated by Richard Ducker
Between Worlds, Sartorial Contemporary, London
Chimera, group show, Space 148b Clerkenwell, London
England's Dreaming, British contemporary landscape painting, Bedford Row Gallery, London
Broken Romanticism, Standpoint Gallery, London
Curated by Stephen Walter.
Exhibiting artists: Gordon Cheung, Daniel Gustav Cramer, Simon Kingleyside.
London Art Fair, Islington, London, Mark Jason Fine Art
Night On Earth, Oh Art Gallery at The Oxford House, London
Curated by Harry Pye
Current Vision, Sartorial Contemporary Art, London
Exhibiting artists: Caroline List, Gavin Nolan, Isabel Young, Sigrid Holmwood, Sam Dargon,
Art London (art fair), Mark Jason Fine Art
The Horizon of Expectation, Empire Gallery, London
Curated by Caroline List.
Exhibiting artists: Gordon Cheung,
Gavin Nolan, Isabel Young, Reece Jones, Jost Munster, Kounsuke Kowakame, Peter Lamb, George Doneo, Memei Thompson
Mothers (100 artists paint their mother), Oh Art Gallery at The Oxford House, London, and touring.
Curated by Harry Pye
Smog, London School of Tropical Medicine and Hygiene
Curated by Pam Skelton
Contemporary Art Fair, Toronto
Contemporary Art Fair, London, Catto Contemporary Gallery
Contemporary Art Fair, London, Catto Contemporary Gallery
Ornament, Upstairs At The Clerks House, Shoreditch, London
Curated by Katrina Blannin
Artist Network Group Show, Cavendish Square, London
Dinosaurs' Blood / The Body of Painting, Art in Perpetuity Trust Gallery, London
Curated by Calli Saunders.
New Images Rising: British Painters, La Capitol La Defence Paris
20/20, Kings Gate Gallery, West Hampstead, London
Royal Over-Seas League annual open painting competition (first prize winner), Piccadilly, London
The Painting Show, Ernst & Young, London
Henderson Art Wise corporate exhibition, London
Spatial Elements, Hornimann Museum, London
Academicians' choice, The Mall Galleries, London
Contemporary Young Painters, Christie's, London
Group painting exhibition, Nigel Greenwood Gallery, Piccadilly, London
Small Is Beautiful, Flowers East London
Contemporary Art Society, Smiths Gallery, London
Two Years On, Morley Gallery, London
New Generation, Bonhams, London
Images of Paradise, Survival International auction, Harwood House, Leeds
Contemporary Art Auction, Christie's, London
Contemporary Art Society, Covent Garden, London
The Future Famous, The Century Gallery, Fulham, London


--- title: Blockchain Security Seminar ref: bsec2018 description: Graduate seminar on the latest research trends in the field of blockchains. semester: Fall 2018 number: 263-2930-00L lecturer: Dr. Petar Tsankov ta: assistants: edoz: http://www.vvz.ethz.ch/Vorlesungsverzeichnis/lerneinheit.view?lerneinheitId=126308&semkez=2018W&ansicht=KATALOGDATEN&lang=en session-time-place: Wed 13-15, LFW B 3 lecture-time-place: exercise-time-place: credits: 2 image: assets/images/bsec.jpg ---
This seminar introduces students to the latest research trends in the field of blockchains. The seminar covers the basics of blockchain technology, including motivation for decentralized currency, establishing trust between multiple parties using consensus algorithms, and smart contracts as a means to establish decentralized computation. It also covers security issues arising in blockchains and smart contracts as well as automated techniques for detecting vulnerabilities using programming language techniques.
The objectives of this seminar are twofold:
The seminar is carried out as a set of presentatins (2 each lecture) chosen from a set of available papers (available below). The grade is determined as a function of the presentation, handling questions and answers, and participation.


Enjoy every single beat on headphone!
For iPhone, iPad, and Android users, be sure your product’s firmware is up to date through the Bose connect app.
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For iPhone, iPad, and Android users, be sure your product’s firmware is up to date through the Bose connect app.
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Create custom landing pages with Omega that converts more visitors than any website.With lots of unique blocks,you can easily build a page without coding.
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Create custom landing pages with Omega that converts more visitors
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Create custom landing pages with Omega that converts
more visitors than any website. With lots of unique
blocks, you can easily build a page without coding.
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Open source code repository¶
All code is freely available at https://github.com/harrispopgen/mushi
Update documentation¶
Inspired by: https://www.docslikecode.com/articles/github-pages-python-sphinx/
Go to the docsrc
directory:
cd docsrc
Environment¶
Create and activate the mushidocs
conda environment:
conda env create -f env.yml
conda activate mushidocs
Install mushi
itself from the local copy in the parent directory:
pip install -e ..
Modify notebooks in the notebooks
directory as needed.
Note
Executing builds (below) after modifying notebooks can take a very long time if compute-heavy notebooks need to be recompiled.
Local build¶
From the docsrc
dir:
make html
You can then see the generated documentation in docsrc/_build/index.html
.
Github Pages build¶
From the docsrc
dir:
make github
You can then see the generated documentation in
docs/index.html
.
Test notebook¶
A test notebook that simulates under the linkage-free forward model (where the PRF composite likelihood is not approximate): notebooks/simulation.ipynb
Note that this notebook is used to build a docs page.
Todo list¶
Todo
setup Conda install
(The original entry is located in /Users/williamdewitt/Desktop/repos.nosync/mushi/docsrc/install.rst, line 17.)
Todo
document CLI
(The original entry is located in /Users/williamdewitt/Desktop/repos.nosync/mushi/docsrc/index.rst, line 43.)


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Package org.bluez
Interface Adapter1
- All Superinterfaces:
org.freedesktop.dbus.interfaces.DBusInterface
,org.freedesktop.dbus.interfaces.Properties
public interface Adapter1
extends org.freedesktop.dbus.interfaces.DBusInterface, org.freedesktop.dbus.interfaces.Properties
File generated - 2018-07-25.
Based on bluez Documentation: adapter-api.txt.
Service: org.bluez
Interface: org.bluez.Adapter1
Object path:
[variable prefix]/{hci0,hci1,...}
Supported properties:
string Address [readonly]
The Bluetooth device address.
string AddressType [readonly]
The Bluetooth Address Type. For dual-mode and BR/EDR
only adapter this defaults to "public". Single mode LE
adapters may have either value. With privacy enabled
this contains type of Identity Address and not type of
address used for connection.
Possible values:
"public" - Public address
"random" - Random address
string Name [readonly]
The Bluetooth system name (pretty hostname).
This property is either a static system default
or controlled by an external daemon providing
access to the pretty hostname configuration.
string Alias [readwrite]
The Bluetooth friendly name. This value can be
changed.
In case no alias is set, it will return the system
provided name. Setting an empty string as alias will
convert it back to the system provided name.
When resetting the alias with an empty string, the
property will default back to system name.
On a well configured system, this property never
needs to be changed since it defaults to the system
name and provides the pretty hostname. Only if the
local name needs to be different from the pretty
hostname, this property should be used as last
resort.
uint32 Class [readonly]
The Bluetooth class of device.
This property represents the value that is either
automatically configured by DMI/ACPI information
or provided as static configuration.
boolean Powered [readwrite]
Switch an adapter on or off. This will also set the
appropriate connectable state of the controller.
The value of this property is not persistent. After
restart or unplugging of the adapter it will reset
back to false.
boolean Discoverable [readwrite]
Switch an adapter to discoverable or non-discoverable
to either make it visible or hide it. This is a global
setting and should only be used by the settings
application.
If the DiscoverableTimeout is set to a non-zero
value then the system will set this value back to
false after the timer expired.
In case the adapter is switched off, setting this
value will fail.
When changing the Powered property the new state of
this property will be updated via a PropertiesChanged
signal.
For any new adapter this settings defaults to false.
boolean Pairable [readwrite]
Switch an adapter to pairable or non-pairable. This is
a global setting and should only be used by the
settings application.
Note that this property only affects incoming pairing
requests.
For any new adapter this settings defaults to true.
uint32 PairableTimeout [readwrite]
The pairable timeout in seconds. A value of zero
means that the timeout is disabled and it will stay in
pairable mode forever.
The default value for pairable timeout should be
disabled (value 0).
uint32 DiscoverableTimeout [readwrite]
The discoverable timeout in seconds. A value of zero
means that the timeout is disabled and it will stay in
discoverable/limited mode forever.
The default value for the discoverable timeout should
be 180 seconds (3 minutes).
boolean Discovering [readonly]
Indicates that a device discovery procedure is active.
array{string} UUIDs [readonly]
List of 128-bit UUIDs that represents the available
local services.
string Modalias [readonly, optional]
Local Device ID information in modalias format
used by the kernel and udev.
Based on bluez Documentation: adapter-api.txt.
Service: org.bluez
Interface: org.bluez.Adapter1
Object path:
[variable prefix]/{hci0,hci1,...}
Supported properties:
string Address [readonly]
The Bluetooth device address.
string AddressType [readonly]
The Bluetooth Address Type. For dual-mode and BR/EDR
only adapter this defaults to "public". Single mode LE
adapters may have either value. With privacy enabled
this contains type of Identity Address and not type of
address used for connection.
Possible values:
"public" - Public address
"random" - Random address
string Name [readonly]
The Bluetooth system name (pretty hostname).
This property is either a static system default
or controlled by an external daemon providing
access to the pretty hostname configuration.
string Alias [readwrite]
The Bluetooth friendly name. This value can be
changed.
In case no alias is set, it will return the system
provided name. Setting an empty string as alias will
convert it back to the system provided name.
When resetting the alias with an empty string, the
property will default back to system name.
On a well configured system, this property never
needs to be changed since it defaults to the system
name and provides the pretty hostname. Only if the
local name needs to be different from the pretty
hostname, this property should be used as last
resort.
uint32 Class [readonly]
The Bluetooth class of device.
This property represents the value that is either
automatically configured by DMI/ACPI information
or provided as static configuration.
boolean Powered [readwrite]
Switch an adapter on or off. This will also set the
appropriate connectable state of the controller.
The value of this property is not persistent. After
restart or unplugging of the adapter it will reset
back to false.
boolean Discoverable [readwrite]
Switch an adapter to discoverable or non-discoverable
to either make it visible or hide it. This is a global
setting and should only be used by the settings
application.
If the DiscoverableTimeout is set to a non-zero
value then the system will set this value back to
false after the timer expired.
In case the adapter is switched off, setting this
value will fail.
When changing the Powered property the new state of
this property will be updated via a PropertiesChanged
signal.
For any new adapter this settings defaults to false.
boolean Pairable [readwrite]
Switch an adapter to pairable or non-pairable. This is
a global setting and should only be used by the
settings application.
Note that this property only affects incoming pairing
requests.
For any new adapter this settings defaults to true.
uint32 PairableTimeout [readwrite]
The pairable timeout in seconds. A value of zero
means that the timeout is disabled and it will stay in
pairable mode forever.
The default value for pairable timeout should be
disabled (value 0).
uint32 DiscoverableTimeout [readwrite]
The discoverable timeout in seconds. A value of zero
means that the timeout is disabled and it will stay in
discoverable/limited mode forever.
The default value for the discoverable timeout should
be 180 seconds (3 minutes).
boolean Discovering [readonly]
Indicates that a device discovery procedure is active.
array{string} UUIDs [readonly]
List of 128-bit UUIDs that represents the available
local services.
string Modalias [readonly, optional]
Local Device ID information in modalias format
used by the kernel and udev.
-
Nested Class Summary
-
Method Summary
Modifier and Type Method Description org.freedesktop.dbus.DBusPath
ConnectDevice(java.util.Map<java.lang.String,org.freedesktop.dbus.types.Variant<?>> _properties)
From bluez documentation:
This method connects to device without need of
performing General Discovery.java.lang.String[]
GetDiscoveryFilters()
From bluez documentation:
Return available filters that can be given to
SetDiscoveryFilter.
void
RemoveDevice(org.freedesktop.dbus.DBusPath _device)
From bluez documentation:
This removes the remote device object at the given
path.void
SetDiscoveryFilter(java.util.Map<java.lang.String,org.freedesktop.dbus.types.Variant<?>> _filter)
From bluez documentation:
This method sets the device discovery filter for the
caller.void
StartDiscovery()
From bluez documentation:
This method starts the device discovery session.void
StopDiscovery()
From bluez documentation:
This method will cancel any previous StartDiscovery
transaction.
Note that a discovery procedure is shared between all
discovery sessions thus calling StopDiscovery will only
release a single session.
-
Method Details
-
StartDiscovery
From bluez documentation:
This method starts the device discovery session. This
includes an inquiry procedure and remote device name
resolving. Use StopDiscovery to release the sessions
acquired.
This process will start creating Device objects as
new devices are discovered.
During discovery RSSI delta-threshold is imposed.
- Throws:
BluezNotReadyException
- when bluez not readyBluezFailedException
- on failure
-
StopDiscovery
void StopDiscovery() throws BluezNotReadyException, BluezFailedException, BluezNotAuthorizedExceptionFrom bluez documentation:
This method will cancel any previous StartDiscovery
transaction.
Note that a discovery procedure is shared between all
discovery sessions thus calling StopDiscovery will only
release a single session.
- Throws:
BluezNotReadyException
- when bluez not readyBluezFailedException
- on failureBluezNotAuthorizedException
- when not authorized
-
RemoveDevice
void RemoveDevice(org.freedesktop.dbus.DBusPath _device) throws BluezInvalidArgumentsException, BluezFailedExceptionFrom bluez documentation:
This removes the remote device object at the given
path. It will remove also the pairing information.
- Parameters:
_device
-- Throws:
BluezInvalidArgumentsException
- when argument is invalidBluezFailedException
- on failure
-
SetDiscoveryFilter
void SetDiscoveryFilter(java.util.Map<java.lang.String,org.freedesktop.dbus.types.Variant<?>> _filter) throws BluezNotReadyException, BluezNotSupportedException, BluezFailedExceptionFrom bluez documentation:
This method sets the device discovery filter for the
caller. When this method is called with no filter
parameter, filter is removed.
Parameters that may be set in the filter dictionary
include the following:
array{string} UUIDs
Filter by service UUIDs, empty means match
_any_ UUID.
When a remote device is found that advertises
any UUID from UUIDs, it will be reported if:
- Pathloss and RSSI are both empty.
- only Pathloss param is set, device advertise
TX pwer, and computed pathloss is less than
Pathloss param.
- only RSSI param is set, and received RSSI is
higher than RSSI param.
int16 RSSI
RSSI threshold value.
PropertiesChanged signals will be emitted
for already existing Device objects, with
updated RSSI value. If one or more discovery
filters have been set, the RSSI delta-threshold,
that is imposed by StartDiscovery by default,
will not be applied.
uint16 Pathloss
Pathloss threshold value.
PropertiesChanged signals will be emitted
for already existing Device objects, with
updated Pathloss value.
string Transport (Default "auto")
Transport parameter determines the type of
scan.
Possible values:
"auto" - interleaved scan
"bredr" - BR/EDR inquiry
"le" - LE scan only
If "le" or "bredr" Transport is requested,
and the controller doesn't support it,
org.bluez.Error.Failed error will be returned.
If "auto" transport is requested, scan will use
LE, BREDR, or both, depending on what's
currently enabled on the controller.
bool DuplicateData (Default: true)
Disables duplicate detection of advertisement
data.
When enabled PropertiesChanged signals will be
generated for either ManufacturerData and
ServiceData everytime they are discovered.
When discovery filter is set, Device objects will be
created as new devices with matching criteria are
discovered regardless of they are connectable or
discoverable which enables listening to
non-connectable and non-discoverable devices.
When multiple clients call SetDiscoveryFilter, their
filters are internally merged, and notifications about
new devices are sent to all clients. Therefore, each
client must check that device updates actually match
its filter.
When SetDiscoveryFilter is called multiple times by the
same client, last filter passed will be active for
given client.
SetDiscoveryFilter can be called before StartDiscovery.
It is useful when client will create first discovery
session, to ensure that proper scan will be started
right after call to StartDiscovery.
- Parameters:
_filter
-- Throws:
BluezNotReadyException
- when bluez not readyBluezNotSupportedException
- when operation not supportedBluezFailedException
- on failure
-
GetDiscoveryFilters
java.lang.String[] GetDiscoveryFilters()From bluez documentation:
Return available filters that can be given to
SetDiscoveryFilter.
-
ConnectDevice
org.freedesktop.dbus.DBusPath ConnectDevice(java.util.Map<java.lang.String,org.freedesktop.dbus.types.Variant<?>> _properties) throws BluezInvalidArgumentsException, BluezAlreadyExistsException, BluezNotSupportedException, BluezNotReadyException, BluezFailedExceptionFrom bluez documentation:
This method connects to device without need of
performing General Discovery. Connection mechanism is
similar to Connect method from Device1 interface with
exception that this method returns success when physical
connection is established. After this method returns,
services discovery will continue and any supported
profile will be connected. There is no need for calling
Connect on Device1 after this call. If connection was
successful this method returns object path to created
device object.
Parameters that may be set in the filter dictionary
include the following:
string Address
The Bluetooth device address of the remote
device. This parameter is mandatory.
string AddressType
The Bluetooth device Address Type. This is
address type that should be used for initial
connection. If this parameter is not present
BR/EDR device is created.
Possible values:
"public" - Public address
"random" - Random address
- Parameters:
_properties
-- Throws:
BluezInvalidArgumentsException
- when argument is invalidBluezAlreadyExistsException
- when item already existsBluezNotSupportedException
- when operation not supportedBluezNotReadyException
- when bluez not readyBluezFailedException
- on failure
-


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Preparation time
less than 30 mins
Cooking time
30 mins to 1 hour
Serves
Serves 6-8
This slow-cooked lamb stew is impressive enough for a dinner party and you can make it the day before.
For the stew, heat the oil in a non-stick pan over a medium heat. Add the lamb and fry for 3-4 minutes, turning occasionally, until brown on all sides. Remove from the pan and set aside on a warm plate.
Add the mustard seeds to the same pan and fry for 30 seconds, or until the seeds start to pop. (CAUTION: keep the pan well away from your face and eyes.) Add the onion and fry for 3-4 minutes, or until golden-brown.
Meanwhile, in a food processor, blend the garlic and ginger to a paste, adding a splash of water to bind the mixture.
Add the garlic and ginger paste to the fried onions and continue to cook for 2-3 minutes, or until the water has evaporated from the paste and it has turned golden-brown.
Add the salt, sugar, ground coriander, ground cumin, ground turmeric and red chilli powder and cook for a further 20-30 seconds.
Add the puréed tomatoes and 100ml/3½fl oz of the water, stir well and bring the mixture to a gentle simmer. Simmer for 6-8 minutes, stirring well, or until the volume of liquid has completely reduced and the sauce has almost dried out.
Meanwhile, for the fenugreek dumplings, mix all of the fenugreek dumplings ingredients together in a bowl until well combined, then bring the mixture together to form a semi-soft dough.
Using your hands, roll the mixture into three sausage shapes, then pinch off six pieces from each sausage. Roll the pieces into smooth balls. Set aside.
When the sauce has reduced, add the coconut milk, lemon juice and the rest of the water. Continue to simmer for five minutes. Add the sweet potato to the stew and bring back to the boil. Reduce to a simmer and after six minutes, add the dumplings. Cover the pan with a lid and continue to simmer for 6-7 minutes, or until the potato is tender.
Add the reserved lamb and the chickpeas to the pan, cover again and cook for a further 4-5 minutes, or until the lamb is cooked to your liking.
Stir in the fresh coriander and garam masala just before serving.


When I first started building Ansible modules I didn’t give any thought to what environments others would be using them in. In a perfect world you would have your config mgmt. and automation framework set up and running without any issues in 5 minutes. Now in certain environments (*NIX) that is true. But there are still others that are running environments on Windows (I can’t look at you) or OSX or whatever OS you happen to be running. In that case, consuming Ansible custom modules or playbooks plus certain python libraries (NetApp’s Manageability SDK) can be difficult, especially for beginners. When I realized how difficult it would be for some to take advantage of Ansible and all of its goodness I started searching for an easy button.
Docker to the rescue.
Instead of leaving beginners out in the cold, the only onus on you is to get docker installed and the Dockerfile provides the rest. I wasn’t able to cut out all the manual steps for certain reasons that I’ll explain below but I’ve simplified it as much as I can. Once you’ve built your Docker image, you’ll be able to run Ansible playbooks using custom modules in one line.
I want to thank Andrew Sullivan for his post on adding NMSDK to Docker and Phil Misiowiec for his ansible_playbook image from which I heavily borrowed.
You can grab the Dockerfile to build an image here. I decided not to package the NMSDK in my github repo for fear of licensing repercussions from NetApp. If you are a NetApp customer or partner then you have the ability to download the nmsdk for free. Since I’m assuming most consumers of this Dockerfile will be customers or partners then I don’t feel guilty for not providing it in the image itself.
I also included the path to my github repo where the custom ansible modules are located. If you ever want the latest modules you’re only one docker build command away. The following is from the Dockerfile.
RUN git clone https://github.com/jeorryb/netapp-ansible.git /github
Once you’ve downloaded the nmsdk place it in the same directory that your run your docker build command from.
docker build -t ansible-nmsdk .
Adventures in certificate hell.
SSL: CERTIFICATE_VERIFY_FAILED
The other manual process that I included involves trusting the self signed cert from the cdot array that you are executing against. When I started building modules for cdot I made the decision to use https for connectivity to the array. At the time, I had no idea the rabbit hole that I was about to venture into. If you’ve ever made SSL calls from Python and received the exception above, you know what I’m talking about.
The “S” in “HTTPS” stands for secure.
Since I decided to use SSL for my NMSDK calls, I had to either apply certs signed from a trusted CA to my cluster or download the self signed certs that cdot creates when creating a cluster. I went with downloading the existing self signed cert and I’m guessing most will take that route as well. For a comprehensive explanation of Python and SSL checkout PEP 476. The following is an example of running a Ansible playbook as a one liner with Docker.
docker run -it -v $(pwd):/etc/ssl/certs -v /Users/jeorryb/images/ansible_nmsdk:/ansible/playbooks ansible-nmsdk nmsdk.yaml
In the above command I’m mounting two volumes from my local host to the container. The first mount is my present working directory where I’ve downloaded the cert from my cluster. Mounting the cert location on my host to the trusted certificate location on the container is a neat little trick to get the container to trust additional certs you have. The second mount is the directory where my playbook is located. You don’t have to specify \$(pwd) but I find it easier for one of the mounts. In the command above “ansible-nmsdk” is the name I gave to my Docker image and “nmsdk.yaml” is the ansible playbook I want to execute.
Hopefully this makes it easier to play around with Ansible and NetApp and encourages you to include other “batteries” in your Docker images.


 I first read about this chemical in the news and thought wow just like blow huh? I read further online and found a local shop that carried it and picked up a gram.
We both started with a 5mg line and over the following 4 days consumed between 5mg and 10mg lines every 1 to 2 hours. We ended up picking up another gram after day 2. It started out nicely enough with the near exact feeling of blow but that's where the good similarities between the two substances ended! We never planned on being up for 4 days without food that's for sure so its very addictive and in our opinion extremely dangerous. We both usually get paranoid from blow and this has that negative side effect as well. The extremely bad thing about this substance for both of us were the extreme hallucinations both visible and audible of all things we were fearing from the paranoia. At the end of day 4 I dumped the last half gram to stop the complete insanity and the g/f got extremely angry with me and she didn't want to stop she went and got more that's when I left for home.
Another difference between blow and this is the fact that after stopping I still couldn't sleep for 36 hours and that's after taking 20mg of xanex and the g/f had the the same problem when she finally stopped 2 days later. This was the worst chemical we've ever tried and we have done quite a few. We could have lost everything we had including our sanity due to 4 days of chaos for me and 6 days for her. She also almost died in my opinion after taking 50mg of xanex to try to sleep after her 6 day binge. We both agreed we would never do this again and only wished we had never heard about it in the first place!
In short its very addictive, the comedown is the worst of any substance we have tried, the paranoia and extremely vivid audible and visual hallucinations combined made for hell on earth. We lost our sanity for many days. Be warned if your crazy enough to play with this and be prepared for the possibility of some rather severe consequences!
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.


When setting up your cluster, you will install the scheduler on a small number (usually 3 or 5) of machines. This guide helps you get the scheduler set up and troubleshoot some common hurdles.
The Aurora scheduler is a standalone Java server. As part of the build process it creates a bundle of all its dependencies, with the notable exceptions of the JVM and libmesos. Each target server should have a JVM (Java 7 or higher) and libmesos (0.20.1) installed.
To create a distribution for installation you will need build tools installed. On Ubuntu this can be
done with sudo apt-get install build-essential default-jdk
.
git clone http://git-wip-us.apache.org/repos/asf/incubator-aurora.git cd incubator-aurora ./gradlew distZip
Copy the generated dist/distributions/aurora-scheduler-*.zip
to each node that will run a scheduler.
Extract the aurora-scheduler zip file. The example configurations assume it is extracted to
/usr/local/aurora-scheduler
.
sudo unzip dist/distributions/aurora-scheduler-*.zip -d /usr/local sudo ln -nfs "$(ls -dt /usr/local/aurora-scheduler-* | head -1)" /usr/local/aurora-scheduler
Like Mesos, Aurora uses command-line flags for runtime configuration. As such the Aurora
“configuration file” is typically a scheduler.sh
shell script of the form.
#!/bin/bash AURORA_HOME=/usr/local/aurora-scheduler # Flags controlling the JVM. JAVA_OPTS=( -Xmx2g -Xms2g # GC tuning, etc. ) # Flags controlling the scheduler. AURORA_FLAGS=( -http_port=8081 # Log configuration, etc. ) # Environment variables controlling libmesos export JAVA_HOME=... export GLOG_v=1 export LIBPROCESS_PORT=8083 JAVA_OPTS="${JAVA_OPTS[*]}" exec "$AURORA_HOME/bin/aurora-scheduler" "${AURORA_FLAGS[@]}"
That way Aurora’s current flags are visible in ps
and in the /vars
admin endpoint.
Examples are available under examples/scheduler/
. For a list of available Aurora flags and their
documentation run
/usr/local/aurora-scheduler/bin/aurora-scheduler -help
All Aurora state is persisted to a replicated log. This includes all jobs Aurora is running including where in the cluster they are being run and the configuration for running them, as well as other information such as metadata needed to reconnect to the Mesos master, resource quotas, and any other locks in place.
Aurora schedulers use ZooKeeper to discover log replicas and elect a leader. Only one scheduler is leader at a given time - the other schedulers follow log writes and prepare to take over as leader but do not communicate with the Mesos master. Either 3 or 5 schedulers are recommended in a production deployment depending on failure tolerance and they must have persistent storage.
In a cluster with N
schedulers, the flag -native_log_quorum_size
should be set to
floor(N/2) + 1
. So in a cluster with 1 scheduler it should be set to 1
, in a cluster with 3 it
should be set to 2
, and in a cluster of 5 it should be set to 3
.
| Number of schedulers (N) | -native_log_quorum_size setting (floor(N/2) + 1 ) |
|---|---|
| 1 | 1 |
| 3 | 2 |
| 5 | 3 |
| 7 | 4 |
Incorrectly setting this flag will cause data corruption to occur!
See this document for more replicated log and storage configuration options.
Before you start Aurora you will also need to initialize the log on the first master.
mesos-log initialize --path="$AURORA_HOME/scheduler/db"
Failing to do this will result the following message when you try to start the scheduler.
Replica in EMPTY status received a broadcasted recover request
See this document for scheduler storage performance considerations.
The Aurora scheduler listens on 2 ports - an HTTP port used for client RPCs and a web UI, and a libprocess (HTTP+Protobuf) port used to communicate with the Mesos master and for the log replication protocol. These can be left unconfigured (the scheduler publishes all selected ports to ZooKeeper) or explicitly set in the startup script as follows:
# ... AURORA_FLAGS=( # ... -http_port=8081 # ... ) # ... export LIBPROCESS_PORT=8083 # ...
Configure a supervisor like Monit or
supervisord to run the created scheduler.sh
file and restart it
whenever it fails. Aurora expects to be restarted by an external process when it fails. Aurora
supports an active health checking protocol on its admin HTTP interface - if a GET /health
times
out or returns anything other than 200 OK
the scheduler process is unhealthy and should be
restarted.
For example, monit can be configured with
if failed port 8081 send "GET /health HTTP/1.0\r\n" expect "OK\n" with timeout 2 seconds for 10 cycles then restart
assuming you set -http_port=8081
.
Please see our dedicated monitoring guide for in-depth discussion on monitoring.
Aurora is best suited to run stateless applications, but it also accommodates for stateful services like databases, or services that otherwise need to always run on the same machines.
The Mesos slave has the --attributes
command line argument which can be used to mark a slave with
static attributes (not to be confused with --resources
, which are dynamic and accounted).
Aurora makes these attributes available for matching with scheduling
constraints. Most of these
constraints are arbitrary and available for custom use. There is one exception, though: the
dedicated
attribute. Aurora treats this specially, and only allows matching jobs to run on these
machines, and will only schedule matching jobs on these machines.
The dedicated attribute has semantic meaning. The format is $role(/.*)?
. When a job is created,
the scheduler requires that the $role
component matches the role
field in the job
configuration, and will reject the job creation otherwise. The remainder of the attribute is
free-form. We’ve developed the idiom of formatting this attribute as $role/$job
, but do not
enforce this.
Consider the following slave command line:
mesos-slave --attributes="host:$HOST;rack:$RACK;dedicated:db_team/redis" ...
And this job configuration:
Service( name = 'redis', role = 'db_team', constraints = { 'dedicated': 'db_team/redis' } ... )
The job configuration is indicating that it should only be scheduled on slaves with the attribute
dedicated:dba_team/redis
. Additionally, Aurora will prevent any tasks that do not have that
constraint from running on those slaves.
So you’ve started your first cluster and are running into some issues? We’ve collected some common stumbling blocks and solutions here to help get you moving.
Storage is not READY
I1016 16:12:27.234133 26081 replica.cpp:638] Replica in EMPTY status received a broadcasted recover request I1016 16:12:27.234256 26084 recover.cpp:188] Received a recover response from a replica in EMPTY status
When you create a new cluster, you need to inform a quorum of schedulers that they are safe to consider their database to be empty by initializing the replicated log. This is done to prevent the scheduler from modifying the cluster state in the event of multiple simultaneous disk failures or, more likely, misconfiguration of the replicated log path.
Scheduler log contains
Framework has not been registered within the tolerated delay.
Double-check that the scheduler is configured correctly to reach the master. If you are registering the master in ZooKeeper, make sure command line argument to the master:
--zk=zk://$ZK_HOST:2181/mesos/master
is the same as the one on the scheduler:
-mesos_master_address=zk://$ZK_HOST:2181/mesos/master
PENDING
foreverThe scheduler is registered, and (receiving offers](docs/monitoring.md#schedulerresourceoffers),
but tasks are perpetually shown as PENDING - Constraint not satisfied: host
.
Check that your slaves are configured with host
and rack
attributes. Aurora requires that
slaves are tagged with these two common failure domains to ensure that it can safely place tasks
such that jobs are resilient to failure.
See our vagrant example for details.


‘Real Blood’ – Shatta Wale as he shares photos of himself and Stonebwoy
by Qwame BenedictDancehall artiste Shatta Wale who has been beefing his colleague in the industry Bhim Nations President Stonebwoy last Saturday at the 4Syte Tv Video Music Awards did the unthinkable by gifting his award to Stonebwoy.
After this move, his former right-hand partner Pope Skinny sent out a warning to Stonebwoy to be careful with Shatta Wale because he has something hidden up his sleeves.
Pope Skinny continued that, the act by Shatta Wale at the awards night was just a movie he(Shatta) was acting because he can’t be trusted.
Well, Shatta Wale has responded to Pope Skinny by sharing a photo of himself and Stonebwoy hugging with the caption ‘Real Blood’ indicating that what Pope Skinny said was never coming to pass.
See screenshot below:
We wait to see how this newfound friendship between the two former enemies would go since not just Pope Skinny but a lot of other music lovers have hinted that their friendship wouldn’t last forever.


Computation of Colless-Like, Sackin and cophenetic balance indices of a phylogenetic tree and study of the distribution of these balance indices under the alpha-gamma model. For more details see A. Mir, F. Rossello, L. Rotger (2013) <doi:10.1016/j.mbs.2012.10.005>, M. J. Sackin (1972) <doi:10.1093/sysbio/21.2.225>, D. H. Colless (1982) <doi:10.2307/2413420>.
| Version: | 1.0 |
| Depends: | R (≥ 3.3.0) |
| Imports: | ape, igraph |
| Published: | 2018-04-03 |
| Author: | Arnau Mir, Francesc Rossello, Lucia Rotger |
| Maintainer: | Lucia Rotger <lucia.rotger at uib.es> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/LuciaRotger/CollessLike |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | CollessLike results |
| Reference manual: | CollessLike.pdf |
| Package source: | CollessLike_1.0.tar.gz |
| Windows binaries: | r-devel: CollessLike_1.0.zip, r-release: CollessLike_1.0.zip, r-oldrel: CollessLike_1.0.zip |
| OS X binaries: | r-release: CollessLike_1.0.tgz, r-oldrel: CollessLike_1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=CollessLike to link to this page.


49+ Nch Logo Pictures. Want to create your own logo? This tutorial will walk you through the entire process, from the first step to saving your final logo for distribution.
We have 2 free nch vector logos, logo templates and icons. Completely free, completely online, fully customizable. See more ideas about logo design, logos, design.
We have 2 free nch vector logos, logo templates and icons.
Select a design to create a logo now! Make an awesome gaming logo in seconds using placeit's online logo maker. From wikimedia commons, the free media repository. Nch, nch software, the nch logo, and all trademarked products are registered trademarks of nch pty ltd.


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template<
typename Strategy
> condition( scheduler< Strategy
> &
sched)
~condition()
void notify_one()
void notify_all()
void wait( boost::unique_lock< boost::fibers::mutex > & lk)
template<
typename Pred
> void
wait(
boost::unique_lock<
boost::fibers::mutex >
& lk, Pred pred)
template<
typename LockType
> void
wait(
LockType &
lk)
template<
typename LockType, typename Pred > void wait( LockType
& lk, Pred pred)
#include <boost/fiber/condition.hpp> class condition { public: < typename Strategy > condition( scheduler< Strategy > & sched); ~condition(); void notify_one(); void notify_all(); void wait( boost::unique_lock< boost::fibers::mutex > & lk); template< typename Pred > void wait( boost::unique_lock< boost::fibers::mutex > & lk, Pred pred); template< typename LockType > void wait( LockType & lk); template< typename LockType, typename Pred > void wait( LockType & lk, Pred predicate); };
Constructs an object of class condition
.
Nothing.
All fibers waiting on *this
have been notified by a call
to notify_one
or
notify_all
(though
the respective calls to wait
need not have returned).
Destroys the object.
Nothing.
If any fibers are currently blocked waiting
on *this
in a call to wait
,
unblocks one of those fibers.
Nothing.
If any fibers are currently blocked waiting
on *this
in a call to wait
,
unblocks all of those fibers.
Nothing.
lk
is locked by the
current fiber, and either no other fiber is currently waiting on
*this
,
or the execution of the mutex()
member function on the lk
objects supplied in the calls
to wait
in all the
fibers currently waiting on *this
would return the same value as
lk->mutex()
for this call to wait
.
Atomically call lk.unlock()
and blocks the current fiber. The
fiber will unblock when notified by a call to this->notify_one()
or this->notify_all()
, or spuriously. When the fiber
is unblocked (for whatever reason), the lock is reacquired by invoking
lk.lock()
before the call to wait
returns. The lock is also reacquired by invoking lk.lock()
if the function exits with an exception.
lk
is locked by the
current fiber.
boost::fibers::fiber_error
if an error occurs.
boost::fibers::fiber_interrupted
if the wait was
interrupted by a call to interrupt()
on the fiber
object associated with the current fiber of execution.
As-if
while ( ! pred()) { wait( lk); }
Atomically call lk.unlock()
and blocks the current fiber. The
fiber will unblock when notified by a call to this->notify_one()
or this->notify_all()
, or spuriously. When the fiber
is unblocked (for whatever reason), the lock is reacquired by invoking
lk.lock()
before the call to wait
returns. The lock is also reacquired by invoking lk.lock()
if the function exits with an exception.
lk
is locked by the
current fiber.
boost::fibers::fiber_error
if an error occurs.
boost::fibers::fiber_interrupted
if the wait was
interrupted by a call to interrupt()
on the fiber
object associated with the current fiber of execution.
As-if
while ( ! pred()) { wait( lock); }


|
HOT COFFEE |
ICED COFFEE |
SMOOTHIES |
DRINKS |
|
SNACKS |
FRIES |
DESSERTS |
CAKE |
SPECIAL OFFERS
|
|
|
|
|
|
|
|


My name is Todd Holford and it's very nice to meet you. I'm currently attending Ranken Technical College for an associates in website and application development. I also have a two and a half year background of graphic design. As well as having game development as my hobby and passtime. Below you will find my different works on all of these subjects.


Some sketches that I made when I'm free
About Me
CV
Publications
Sketches
P5 Animations
GitHub
Snoopy
Dark Joker
Miss Jisu the 1st
Miss Jisu the 2nd
Joker
Lady
Magneto
Batman Joker
Eco-Panda
Human Eye
Naruto
Konan
Exhausted After Midsems
Miss Jisu the 3rd
Cat


Feature: Agent behaviour
Agents can interact with the graph structure of OfferNet by issuing semantically constrained graph traversals which query or mutate the graph as needed. These define the API of the OfferNet graph.
#@ignore
@indoc
Scenario: an agent can post an {offer-demand} pair to the OfferNet ?[90m# AgentBehavior.feature:32?[0m
Agents in an Offer Network engage in exchange by publishing an offer-demand pairs, or 'work's. See explanation of the Offer Network structure in [Data structures and objects].
?[32mGiven ?[0m?[32mAgent "?[0m?[32m?[1mAgentOne?[0m?[32m" is created on the OfferNet?[0m ?[90m# AgentBehaviorStepDefs.agentIsCreatedOnTheOfferNet(String)?[0m
?[32mWhen ?[0m?[32mAgent "?[0m?[32m?[1mAgentOne?[0m?[32m" posts a pair of offer "?[0m?[32m?[1m0.15?[0m?[32m" and demand of "?[0m?[32m?[1m0.57?[0m?[32m"?[0m ?[90m# AgentBehaviorStepDefs.agent_publishes_a_pair_of_offer_and_demand_of(String,Double,Double)?[0m
?[32mThen ?[0m?[32mAgent "?[0m?[32m?[1mAgentOne?[0m?[32m" owns a work which "?[0m?[32m?[1mdemands?[0m?[32m" item "?[0m?[32m?[1m0.57?[0m?[32m"?[0m ?[90m# AgentBehaviorStepDefs.agent_owns_a_work_which_item(String,String,String)?[0m
?[32mAnd ?[0m?[32mAgent "?[0m?[32m?[1mAgentOne?[0m?[32m" owns a work which "?[0m?[32m?[1moffers?[0m?[32m" item "?[0m?[32m?[1m0.15?[0m?[32m"?[0m ?[90m# AgentBehaviorStepDefs.agent_owns_a_work_which_item(String,String,String)?[0m
#@ignore
@indoc
Scenario Outline: an agent can access all posted offers and demands by traversing its social network ?[90m# AgentBehavior.feature:42?[0m
In a distributed system where there is no global observer which has the registry of all agents and their items of offer and demand. In this case, the only way for an agent to access items of other agents is to traverse its social network (to a given depth) and ask all friends of friends to send information about their items. Since the OfferNet is fully connected (and hopefully is a small world network) the whole network can be scanned this way, depending on availability of time and resource constrains of an agent which initiates the search. The expected number of items that an agent has to find in its social network is calculated as follows: $(numberOfAgents -1) * pairsPerAgent * 2$ (as every pair holds two items: one demand and one offer..).
?[36mGiven ?[0m?[36mthere exists an sequentially connected line of '<numberOfAgents>' agents?[0m
?[36mAnd ?[0m?[36mall agents have posted '<pairsPerAgent>' offer-demand pair each?[0m
?[36mWhen ?[0m?[36mfirst agent initiates search of '<searchDepth>' depth?[0m
?[36mThen ?[0m?[36magent finds '<numberOfFoundItems>' demands and offers in its social network?[0m
Examples:
@indoc
Scenario Outline: an agent can access all posted offers and demands by traversing its social network ?[90m# AgentBehavior.feature:53?[0m
In a distributed system where there is no global observer which has the registry of all agents and their items of offer and demand. In this case, the only way for an agent to access items of other agents is to traverse its social network (to a given depth) and ask all friends of friends to send information about their items. Since the OfferNet is fully connected (and hopefully is a small world network) the whole network can be scanned this way, depending on availability of time and resource constrains of an agent which initiates the search. The expected number of items that an agent has to find in its social network is calculated as follows: $(numberOfAgents -1) * pairsPerAgent * 2$ (as every pair holds two items: one demand and one offer..).
?[32mGiven ?[0m?[32mthere exists an sequentially connected line of '?[0m?[32m?[1m20?[0m?[32m' agents?[0m ?[90m# AgentBehaviorStepDefs.there_exists_an_sequentially_connected_line_of_numberOfAgents_agents(Integer)?[0m
?[32mAnd ?[0m?[32mall agents have posted '?[0m?[32m?[1m2?[0m?[32m' offer-demand pair each?[0m ?[90m# AgentBehaviorStepDefs.all_agents_have_posted_pairsPerAgent_offer_demand_pair_each(Integer)?[0m
?[32mWhen ?[0m?[32mfirst agent initiates search of '?[0m?[32m?[1m19?[0m?[32m' depth?[0m ?[90m# AgentBehaviorStepDefs.first_agent_initiates_search_of_searchDepth_depth(Integer)?[0m
?[32mThen ?[0m?[32magent finds '?[0m?[32m?[1m76?[0m?[32m' demands and offers in its social network?[0m ?[90m# AgentBehaviorStepDefs.agent_finds_numberOfFoundItems_in_its_social_network(Integer)?[0m
#@ignore
@indoc
Scenario Outline: an agent can connect similar offers and demands of its social network ?[90m# AgentBehavior.feature:57?[0m
After an agent finds offer and demand items posted by its social network which are similar to its own items, it can connect those items with weighted $similarity$ relations (edges in the graph). Weight of the relation represents the 'strength' of similarity. Definition and computing algorithm of a $similarity$ relation can be chosen by choosing configuration parameters of the OfferNet system during initialization -- allowing to experiment with different approaches. This mechanism addresses these [Open problems / features to consider] of the framework: [Representation / theory of value], [Description of items of exchange], [Similarity measure];
?[36mGiven ?[0m?[36ma connected network of '<numberOfAgents>' agents?[0m
?[36mGiven ?[0m?[36mthat '<numberOfSimilarItems>' similar item pairs exist in the network?[0m
?[36mWhen ?[0m?[36many agent finds similar items by executing search of '<searchDepth>' depth?[0m
?[36mThen ?[0m?[36mthere are '<numberOfSimilarityRelations>' similarity relations in the network?[0m
Examples:
@indoc
Scenario Outline: an agent can connect similar offers and demands of its social network ?[90m# AgentBehavior.feature:68?[0m
After an agent finds offer and demand items posted by its social network which are similar to its own items, it can connect those items with weighted $similarity$ relations (edges in the graph). Weight of the relation represents the 'strength' of similarity. Definition and computing algorithm of a $similarity$ relation can be chosen by choosing configuration parameters of the OfferNet system during initialization -- allowing to experiment with different approaches. This mechanism addresses these [Open problems / features to consider] of the framework: [Representation / theory of value], [Description of items of exchange], [Similarity measure];
?[32mGiven ?[0m?[32ma connected network of '?[0m?[32m?[1m20?[0m?[32m' agents?[0m ?[90m# AgentBehaviorStepDefs.a_connected_network_of_agents(int)?[0m
?[32mGiven ?[0m?[32mthat '?[0m?[32m?[1m5?[0m?[32m' similar item pairs exist in the network?[0m ?[90m# AgentBehaviorStepDefs.that_similar_items_exist_in_the_network(int)?[0m
?[32mWhen ?[0m?[32many agent finds similar items by executing search of '?[0m?[32m?[1m19?[0m?[32m' depth?[0m ?[90m# AgentBehaviorStepDefs.any_agent_finds_similar_items_by_executing_search_of_depth(int)?[0m
?[31mThen ?[0m?[31mthere are '?[0m?[31m?[1m5?[0m?[31m' similarity relations in the network?[0m ?[90m# AgentBehaviorStepDefs.there_are_similarity_relations_in_the_network(int)?[0m
?[31mjava.lang.AssertionError: expected:<5> but was:<9>
at org.junit.Assert.fail(Assert.java:88)
at org.junit.Assert.failNotEquals(Assert.java:834)
at org.junit.Assert.assertEquals(Assert.java:645)
at org.junit.Assert.assertEquals(Assert.java:631)
at io.singularitynet.offernet.AgentBehaviorStepDefs.there_are_similarity_relations_in_the_network(AgentBehaviorStepDefs.java:281)
at ✽.Then there are '5' similarity relations in the network(AgentBehavior.feature:63)
?[0m
Feature: OfferNet processes
The structure of OfferNet is realized as a Property Graph where agents / offers and demands connect via edges and all is enriched with properties. Agents interact with the graph (query/mutate) by executing semantically constrained graph traversal processes. The result of these processes depend on the context of operation, but we want to make sure that they are deterministic when the context is known and clearly defined. These processes can be centralized or decentralized.
<realize SimulationTests as scenarios here>
?[31mFailed scenarios:?[0m
?[31mAgentBehavior.feature:68 ?[0m# Scenario Outline: an agent can connect similar offers and demands of its social network
7 Scenarios (?[31m1 failed?[0m, ?[32m6 passed?[0m)
33 Steps (?[31m1 failed?[0m, ?[32m32 passed?[0m)
1m46.567s
java.lang.AssertionError: expected:<5> but was:<9>
at org.junit.Assert.fail(Assert.java:88)
at org.junit.Assert.failNotEquals(Assert.java:834)
at org.junit.Assert.assertEquals(Assert.java:645)
at org.junit.Assert.assertEquals(Assert.java:631)
at io.singularitynet.offernet.AgentBehaviorStepDefs.there_are_similarity_relations_in_the_network(AgentBehaviorStepDefs.java:281)
at ✽.Then there are '5' similarity relations in the network(AgentBehavior.feature:63)


INSTALL(1) User Commands INSTALL(1) NAME install - copy files and set attributes SYNOPSIS install [OPTION]... [-T] SOURCE DEST install [OPTION]... SOURCE... DIRECTORY install [OPTION]... -t DIRECTORY SOURCE... install [OPTION]... -d DIRECTORY... DESCRIPTION This install program copies files (often just compiled) into destination locations you choose. If you want to download and install a ready-to-use package on a GNU/Linux system, you should instead be using a package man‐ ager like yum(1) or apt-get(1). In the first three forms, copy SOURCE to DEST or multiple SOURCE(s) to the existing DIRECTORY, while setting permission modes and owner/group. In the 4th form, create all components of the given DIRECTORY(ies). Mandatory arguments to long options are mandatory for short options too. --backup[=CONTROL] make a backup of each existing destination file -b like --backup but does not accept an argument -c (ignored) -C, --compare compare each pair of source and destination files, and in some cases, do not modify the destination at all -d, --directory treat all arguments as directory names; create all components of the specified directories -D create all leading components of DEST except the last, then copy SOURCE to DEST -g, --group=GROUP set group ownership, instead of process' current group -m, --mode=MODE set permission mode (as in chmod), instead of rwxr-xr-x -o, --owner=OWNER set ownership (super-user only) -p, --preserve-timestamps apply access/modification times of SOURCE files to corresponding destination files -s, --strip strip symbol tables --strip-program=PROGRAM program used to strip binaries -S, --suffix=SUFFIX override the usual backup suffix -t, --target-directory=DIRECTORY copy all SOURCE arguments into DIRECTORY -T, --no-target-directory treat DEST as a normal file -v, --verbose print the name of each directory as it is created --preserve-context preserve SELinux security context -Z, --context=CONTEXT set SELinux security context of files and directories --help display this help and exit --version output version information and exit The backup suffix is `~', unless set with --suffix or SIMPLE_BACKUP_SUF‐ FIX. The version control method may be selected via the --backup option or through the VERSION_CONTROL environment variable. Here are the val‐ ues: none, off never make backups (even if --backup is given) numbered, t make numbered backups existing, nil numbered if numbered backups exist, simple otherwise simple, never always make simple backups AUTHOR Written by David MacKenzie. REPORTING BUGS Report install bugs to<EMAIL_ADDRESS>GNU coreutils home page: <http://www.gnu.org/software/coreutils/> General help using GNU software: <http://www.gnu.org/gethelp/> Report install translation bugs to <http://translationproject.org/team/> COPYRIGHT Copyright © 2011 Free Software Foundation, Inc. License GPLv3+: GNU GPL version 3 or later <http://gnu.org/licenses/gpl.html>. This is free software: you are free to change and redistribute it. There is NO WARRANTY, to the extent permitted by law. SEE ALSO The full documentation for install is maintained as a Texinfo manual. If the info and install programs are properly installed at your site, the command info coreutils 'install invocation' should give you access to the complete manual. GNU coreutils 8.12.197-032bb September 2011 INSTALL(1)


Keith Haring
The public has a right to art
Pop Shop
“My work was starting to become more expensive and more popular within the art market. Those prices meant that only people who could afford big art prices could have access to the work. The Pop Shop makes it accessible.”
Keith Haring Foundation
The mission of the Keith Haring Foundation is to sustain, expand, and protect the legacy of Keith Haring, his art, and his ideals. The Foundation supports not-for-profit organizations that assist children, as well as organizations involved in education, research and care related to AIDS.
Pop Shop
“My work was starting to become more expensive and more popular within the art market. Those prices meant that only people who could afford big art prices could have access to the work. The Pop Shop makes it accessible.”
Keith Haring Foundation
The mission of the Keith Haring Foundation is to sustain, expand, and protect the legacy of Keith Haring, his art, and his ideals. The Foundation supports not-for-profit organizations that assist children, as well as organizations involved in education, research and care related to AIDS.
This is a great resource to learn more about Keith Haring and his foundation.


Config¶
-
class
neural_mmo.forge.blade.core.config.
Config
An environment configuration object
Global constants are defined as static class variables. You can override any Config variable using standard CLI syntax (e.g. –NENT=128).
The default config as of v1.5 uses 1024x1024 maps with up to 2048 agents and 1024 NPCs. It is suitable to time horizons of 8192+ steps. For smaller experiments, consider the SmallMaps config.
Notes
We use Google Fire internally to replace standard manual argparse definitions for each Config property. This means you can subclass Config to add new static attributes – CLI definitions will be generated automatically.
-
ENV_NAME
= 'Neural_MMO' Environment Name
-
ENV_VERSION
= '1.5.1' Environment version
-
NAME_PREFIX
= 'Neural_' Prefix used in agent names displayed by the client
-
v
= False Verbose mode
-
NTILE
= 6 Number of distinct terrain tile types
-
NSTIM
= 7 Number of tiles an agent can see in any direction
-
NMOB
= 1024 Maximum number of NPCs spawnable in the environment
-
NENT
= 2048 Maximum number of agents spawnable in the environment
-
NPOP
= 1 Number of distinct populations spawnable in the environment
-
COOPERATIVE
= True Whether to treat populations as teams
-
property
WINDOW
Size of the square tile crop visible to an agent
-
BASE_HEALTH
= 10 Initial Constitution level and agent health
-
BASE_RESOURCE
= 20 Initial level and capacity for Hunting + Fishing resource skills
-
PLAYER_SPAWN_ATTEMPTS
= 16 Number of player spawn attempts per tick
Note that the env will attempt to spawn agents until success if the current population size is zero.
-
SPAWN_CONTINUOUS
() Generates spawn positions for new agents
Default behavior randomly selects a tile position along the borders of the square game map
- Returns
- position:
The position (row, col) to spawn the given agent
- Return type
tuple(int, int)
-
EVALUATE
= False Flag used by evaluation mode
-
RENDER
= False Flag used by render mode
-
GENERALIZE
= True Evaluate on maps not seen during training
-
EVAL_MAPS
= 3 Number of evaluation maps
-
TRAIN_SUMMARY_ENVS
= 10 Most recent envs to use for training summaries
-
TRAIN_DATA_RESAMPLE
= 200 Number of points to resample training data
-
TERRAIN_TRAIN_MAPS
= 256 Number of training maps to generate
-
TERRAIN_EVAL_MAPS
= 64 Number of evaluation maps to generate
-
TERRAIN_RENDER
= False Whether map generation should also save .png previews (slow + large file size)
-
TERRAIN_CENTER
= 1024 Size of each map (number of tiles along each side)
-
TERRAIN_BORDER
= 16 Number of lava border tiles surrounding each side of the map
-
TERRAIN_FREQUENCY
= -3 Base noise frequency range (log2 space)
-
TERRAIN_FREQUENCY_OFFSET
= 7 Noise frequency octave offset (log2 space)
-
TERRAIN_LOG_INTERPOLATE_MIN
= -2 Minimum interpolation log-strength for noise frequencies
-
TERRAIN_LOG_INTERPOLATE_MAX
= 0 Maximum interpolation log-strength for noise frequencies
-
TERRAIN_TILES_PER_OCTAVE
= 8 Number of octaves sampled from log2 spaced TERRAIN_FREQUENCY range
-
TERRAIN_LAVA
= 0.0 Noise threshold for lava generation
-
TERRAIN_WATER
= 0.3 Noise threshold for water generation
-
TERRAIN_GRASS
= 0.7 Noise threshold for grass
-
TERRAIN_FOREST
= 0.85 Noise threshold for forest
-
VIS_THEME
= 'web' web or publication
- Type
Visualizer theme
-
VIS_WIDTH
= 1920 Visualizer figure width (pixels)
-
VIS_HEIGHT
= 314 Visualizer per-plot height (pixels)
-
VIS_BORDER_WIDTH
= 20 Horizontal padding per figure side (pixels)
-
VIS_BORDER_HEIGHT
= 60 Vertical padding per figure side (pixels)
-
VIS_LEGEND_WIDTH
= 109 Width of legend label before offset
-
VIS_LEGEND_OFFSET
= 71 Width of legend label offset
-
VIS_TITLE_OFFSET
= 60 Width of left title offset
-
VIS_PORT
= 5006 Visualizer local Bokeh server port
-
VIS_TOOLS
= False Visualizer display plot tools
-
PATH_ROOT
= '/home/hex/FileStruct/Git/neural-mmo/docs' Global repository directory
-
PATH_RESOURCE
= '/home/hex/FileStruct/Git/neural-mmo/docs/resource' Resource directory
-
PATH_MAP_SUFFIX
= 'map{}/map.npy' Map file name
-
PATH_MAPS_SMALL
= '/home/hex/FileStruct/Git/neural-mmo/docs/resource/maps/procedural-small' Generated map directory for SmallMap config
-
PATH_MAPS_LARGE
= '/home/hex/FileStruct/Git/neural-mmo/docs/resource/maps/procedural-large' Generated map directory for LargeMap config
-
PATH_MAPS
= '/home/hex/FileStruct/Git/neural-mmo/docs/resource/maps/procedural-large' Generated map directory
-
PATH_ASSETS
= '/home/hex/FileStruct/Git/neural-mmo/docs/resource/assets' Asset directory
-
PATH_TILE
= '/home/hex/FileStruct/Git/neural-mmo/docs/resource/assets/tiles/{}.png' Tile path – format me with tile name
-
PATH_TEXT
= '/home/hex/FileStruct/Git/neural-mmo/docs/resource/assets/text' Text directory
-
PATH_LOGO
= '/home/hex/FileStruct/Git/neural-mmo/docs/resource/assets/text/ascii.txt' Logo file (Ascii art)
-
PATH_CHECKPOINTS
= 'checkpoints' Checkpoints path
-
PATH_BASELINES
= 'baselines' Model and evaluation directory
-
PATH_ALL_MODELS
= 'baselines/models' All models directory
-
property
PATH_MODEL
Model path
-
property
PATH_TRAINING_DATA
Model training data
-
PATH_ALL_EVALUATIONS
= 'baselines/evaluations' All evaluations directory
-
property
PATH_EVALUATION
Evaluation path
-
PATH_THEMES
= 'neural_mmo/forge/blade/systems/visualizer' Theme directory
-
PATH_THEME_WEB
= 'neural_mmo/forge/blade/systems/visualizer/index_web.html' Web theme file
-
PATH_THEME_PUB
= 'neural_mmo/forge/blade/systems/visualizer/index_publication.html' Publication theme file
-


I am a 22 year old self-taught programmer currently living in Nottinghamshire with my fiancée and our pet parrot, Pixel.
Having worked on a couple of websites for friends and family members, I am keen to jumpstart a career in the industry, learn new tricks and develop my skills further.
So far I have succeeded in making a handful of video games using the Unity Game Engine and the Blender Game Engine. The bulk of these projects were completed during my studies at Bray Institute of Further Education between 2014 and 2015.
I'm a regular at local Tech events such as Tech Nottingham and I love meeting new people and geeking out about the things I love with them.
Thank you for visiting my website. I welcome feedback so please don't hesitate to get in touch.
Completed: Summer 2016
My proudest work to date, Cookie Catastrophe is a game developed for Android devices. It's a short endless runner demo in which players take the role of Chester the Cookie and have to make their way to the end of the level without dying.
Rough Build - Completed: December 2015
Illusionary Generations was part of a group project completed in December 2015. I plan to rework the game in the near future. The original aim was to use the medium of video-games to showcase the different kind of dreams that different age groups experience. The current version puts players in the dream of a child.
Completed: December 2014
The first game I ever made and the one that got me on the path I'm on at the moment. During the first year of 3D Games Design in BIFE, the class was tasked to make a top down 3D shooter. I chose to create an Asteroids clone and put my own spin on it. Thus, Fantasteroids was born and I promptly fell in love with Game Design and Development.
Currently in Progress
As of the writing of this post, I am currently creating a Pokémon Battle Simulator written entirely in C++ as a way for me to understand the language and have fun doing it. So far I have gotten a working battle system in the scenario of one battle against the player's Rival. I plan to include features to name the Rival, to level up Pokemon and add more to the party as well as the ability to use items in battle.
Currently in Progress
Earl Grey's Marvelous Par-tea, truly a marriage of my two favourite things. Games and awful puns. This in-progress game follows the progress of a stuffy old Englishman named 'Earl Grey' as he sets out to collect all types of tea the world has to offer. On his journey he must defeat the lackeys of the evil Boss-Tonne to complete his collection of tasty leaf water.
Currently in Progress
HanaKotoba has been a while in the making. Originally starting life as an idea for a visual novel that I thought I would never make, having studied and played around with the SFML library of C++, I have finally begun development on it. The story follows a male protagonist as he meets the five heroines of the story at University, whose tales can all be discovered through decision trees and strategic wooing. This has been my pet project for a couple of years now and look forward to maki...(line truncated)...
My first ever Hackathon was the i<tag> hackathon in 2016. During this event I had my first taste of what a game-jam could be like. Working solidly for 48 hours in a team of strangers to get a working product created. My team placed second
In 2016, I had the opportunity to take part in a Hackathon held by Nottingham Trent University and the University of Nottingham. In this Hackathon, I, along with my team-mates created an Android app that told the user the location of the nearest train station.
During my time in Bray Institute of Further Education, I was fortunate enough to have my work featured at open-days and general events promoting the course I was on. Examples of this work can be found above..
When I'm not in my hermit hole making video games and websites, I can be found venturing out into the world once in a while at these events:


nsapi is a free and open source library that allows Node.js applications to easily access the NationStates API without worrying about making HTTP requests, decoding XML, caching or rate limiting.
nsapi features the following:
You can install nsapi using npm: npm install nsapi
.
You can also build nsapi from source using Gulp. There are two main targets:
prod
and dev
. The only difference between them is that dev
includes
source maps. There is also a docs
target to generate documentation.
Consult the documentation for more information on API structure and methods.
nsapi targets ES5 but requires support for ES6 promises, so if you're not using a runtime that supports them natively, you'll have to use a polyfill.
The following is a simple example that retrieves a nation's full name and prints it to the console.
var nsapi = require("nsapi");
// TODO: Replace the user agent with your own
var api = new nsapi.NsApi("Your nation's name");
return api.nationRequest("Auralia", ["fullname"])
.then(function(data) {
console.log(data["fullname"]);
})
.then(function() {
api.cleanup();
});
For additional examples, consult the examples/example.js file.
nsapi is licensed under the Apache License 2.0.
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There are two situations that cannot be handled by the required representations:
| MPI_REGISTER_DATAREP(datarep, read_conversion_fn, write_conversion_fn, dtype_file_extent_fn, extra_state) | |
| IN datarep | data representation identifier (string) |
| IN read_conversion_fn | function invoked to convert from file representation to native representation (function) |
| IN write_conversion_fn | function invoked to convert from native representation to file representation (function) |
| IN dtype_file_extent_fn | function invoked to get the extent of a datatype as represented in the file (function) |
| IN extra_state | extra state |
int MPI_Register_datarep(const char *datarep, MPI_Datarep_conversion_function *read_conversion_fn, MPI_Datarep_conversion_function *write_conversion_fn, MPI_Datarep_extent_function *dtype_file_extent_fn, void *extra_state)
MPI_Register_datarep(datarep, read_conversion_fn, write_conversion_fn, dtype_file_extent_fn, extra_state, ierror)
CHARACTER(LEN=*), INTENT(IN) :: datarep
PROCEDURE(MPI_Datarep_conversion_function) :: read_conversion_fn
PROCEDURE(MPI_Datarep_conversion_function) :: write_conversion_fn
PROCEDURE(MPI_Datarep_extent_function) :: dtype_file_extent_fn
INTEGER(KIND=MPI_ADDRESS_KIND), INTENT(IN) :: extra_state
INTEGER, OPTIONAL, INTENT(OUT) :: ierror
MPI_REGISTER_DATAREP(DATAREP, READ_CONVERSION_FN, WRITE_CONVERSION_FN, DTYPE_FILE_EXTENT_FN, EXTRA_STATE, IERROR)
CHARACTER*(*) DATAREP
EXTERNAL READ_CONVERSION_FN, WRITE_CONVERSION_FN, DTYPE_FILE_EXTENT_FN
INTEGER(KIND=MPI_ADDRESS_KIND) EXTRA_STATE
INTEGER IERROR
The call associates read_conversion_fn, write_conversion_fn, and dtype_file_extent_fn with the data representation identifier datarep. datarep can then be used as an argument to MPI_FILE_SET_VIEW, causing subsequent data access operations to call the conversion functions to convert all data items accessed between file data representation and native representation. MPI_REGISTER_DATAREP is a local operation and only registers the data representation for the calling MPI process. If datarep is already defined, an error in the error class MPI_ERR_DUP_DATAREP is raised using the default file error handler (see Section I/O Error Handling ). The length of a data representation string is limited to the value of MPI_MAX_DATAREP_STRING. MPI_MAX_DATAREP_STRING must have a value of at least 64. No routines are provided to delete data representations and free the associated resources; it is not expected that an application will generate them in significant numbers.
typedef int MPI_Datarep_extent_function(MPI_Datatype datatype, MPI_Aint *file_extent, void *extra_state);
SUBROUTINE MPI_Datarep_extent_function(datatype, extent, extra_state, ierror)
TYPE(MPI_Datatype) :: datatype
INTEGER(KIND=MPI_ADDRESS_KIND) :: extent, extra_state
INTEGER :: ierror
SUBROUTINE DATAREP_EXTENT_FUNCTION(DATATYPE, EXTENT, EXTRA_STATE, IERROR)
INTEGER DATATYPE, IERROR
INTEGER(KIND=MPI_ADDRESS_KIND) EXTENT, EXTRA_STATE
The function dtype_file_extent_fn must return, in file_extent, the number of bytes required to store datatype in the file representation. The function is passed, in extra_state, the argument that was passed to the MPI_REGISTER_DATAREP call. MPI will only call this routine with predefined datatypes employed by the user.
typedef int MPI_Datarep_conversion_function(void *userbuf, MPI_Datatype datatype, int count, void *filebuf, MPI_Offset position, void *extra_state);
SUBROUTINE MPI_Datarep_conversion_function(userbuf, datatype, count, filebuf, position, extra_state, ierror)
USE, INTRINSIC :: ISO_C_BINDING, ONLY : C_PTR
TYPE(C_PTR), VALUE :: userbuf, filebuf
TYPE(MPI_Datatype) :: datatype
INTEGER :: count, ierror
INTEGER(KIND=MPI_OFFSET_KIND) :: position
INTEGER(KIND=MPI_ADDRESS_KIND) :: extra_state
SUBROUTINE DATAREP_CONVERSION_FUNCTION(USERBUF, DATATYPE, COUNT, FILEBUF, POSITION, EXTRA_STATE, IERROR)
<TYPE> USERBUF(*), FILEBUF(*)
INTEGER COUNT, DATATYPE, IERROR
INTEGER(KIND=MPI_OFFSET_KIND) POSITION
INTEGER(KIND=MPI_ADDRESS_KIND) EXTRA_STATE
The function
read_conversion_fn
must convert from
file data representation to native representation.
Before calling this routine,
MPI allocates and fills filebuf with count
contiguous data items.
The type of each data item matches the
corresponding entry for the predefined datatype
in the type signature of datatype.
The function is passed, in extra_state,
the argument that was passed to the MPI_REGISTER_DATAREP call.
The function must copy all count data items from filebuf
to userbuf in the distribution described by datatype,
converting each data item
from file representation to native representation.
datatype will be equivalent to the datatype that the user
passed to the
read
function.
If the size of datatype is less than the size
of the count data items, the conversion function must treat
datatype as being contiguously tiled over the userbuf.
The conversion function must
begin storing converted data at the location in userbuf
specified by position into the (tiled) datatype.
Advice to users.
Although the conversion functions have similarities
to MPI_PACK and
MPI_UNPACK,
one should note the differences in the use
of the arguments count and position.
In the conversion functions,
count is a count of data items
(i.e., count of typemap entries of datatype),
and position is an index into this typemap.
In MPI_PACK,
incount refers to the number of whole datatypes,
and position is a number of bytes.
( End of advice to users.)
Advice
to implementors.
A converted read operation could be implemented as follows:
Rationale.
Passing the conversion function a position and one datatype for the transfer
allows the conversion function to decode the datatype only once and
cache an internal representation of it on the datatype.
Then on subsequent calls, the conversion function can use the position
to quickly find its place in the datatype and continue
storing converted data where it left off at the end of the previous call.
( End of rationale.)
Advice to users.
Although the conversion function may usefully cache an
internal representation on the datatype, it should not cache
any state information specific to an ongoing conversion
operation, since it is possible for the same datatype to
be used concurrently in multiple conversion operations.
( End of advice to users.)
The function write_conversion_fn must convert from
native representation to file data representation.
Before calling this routine,
MPI allocates filebuf of a size large enough to hold count
contiguous data items.
The type of each data item matches the
corresponding entry for the predefined datatype
in the type signature of datatype.
The function must copy count data items from
userbuf in the distribution described by
datatype,
to a contiguous distribution in filebuf, converting each data item
from native representation to file representation.
If the size of datatype is less than the size
of count
data items,
the conversion function must treat
datatype as being contiguously tiled over the
userbuf.
The function must begin copying at the location in userbuf specified by position into the (tiled) datatype. datatype will be equivalent to the datatype that the user passed to the write function. The function is passed, in extra_state, the argument that was passed to the MPI_REGISTER_DATAREP call.
The predefined constant MPI_CONVERSION_FN_NULL may be used as either write_conversion_fn or read_conversion_fn. In that case, MPI will not attempt to invoke write_conversion_fn or read_conversion_fn, respectively, but will perform the requested data access using the native data representation.
An MPI implementation must ensure that all data accessed is converted, either by using a filebuf large enough to hold all the requested data items or else by making repeated calls to the conversion function with the same datatype argument and appropriate values for position.
An implementation will only invoke the callback routines in this section ( read_conversion_fn, write_conversion_fn, and dtype_file_extent_fn) when one of the read or write routines in Section Data Access , or MPI_FILE_GET_TYPE_EXTENT is called by the user. dtype_file_extent_fn will only be passed predefined datatypes employed by the user. The conversion functions will only be passed datatypes equivalent to those that the user has passed to one of the routines noted above.
The conversion functions must be reentrant. User defined data representations are restricted to use byte alignment for all types. Furthermore, it is erroneous for the conversion functions to call any collective routines or to free datatype.
The conversion functions should return an error code. If the returned error code has a value other than MPI_SUCCESS, the implementation will raise an error in the class MPI_ERR_CONVERSION.