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Local Image Name:


| Methods Summary | ||
|---|---|---|
public static
|
||
public static
|
||
public static
|
| Constants Summary | ||
|---|---|---|
public
string
|
PAYMENT_REQUEST_1011
Request 1011.
|
#
'1011'
|
public
string
|
PAYMENT_REQUEST_1012
Request 1012
Dosen't require name and account number.
|
#
'1012'
|
public
string
|
PAYMENT_RESPONSE_SUCCESS
Successful response service.
|
#
'1111'
|
public
string
|
PAYMENT_RESPONSE_FAILED
Failed response service
Dosen't require name and account number.
|
#
'1911'
|
public
string
|
AUTH_REQUEST_4012
Request 4012.
|
#
'4012'
|
public
string
|
AUTH_RESPONSE_3013
Response 3013.
|
#
'3013'
|
public
string
|
AUTH_REQUEST_4011
Request 4011.
|
#
'4011'
|
public
string
|
AUTH_RESPONSE_3012
Response 3012.
|
#
'3012'
|


Copy Knights API Server
The Copy Knights API Server connects to the media wiki APIs and parses the content of the articles. The Copy Knights API Server exposes it's own API to provide easier access to the content of the articles. The API allows for searching and counting by a certain criteria. Some features which the API enables is extraction of keywords from the abstract and similarity between articles. This will allow any developer to connect to the API to help with better visualizations of the article data. The server also caches all information in memory and refreshes every predefined time as to improve performance.
The API
We have dedicated a whole page for the API below & we have also provided Javadoc in the '/docs' folder for more information regarding the process. THE API's are designed to follow mostly the REST API Ideology.
Get All Articles
This API uses the path '/articles'.
Get Articles By Page ID's
This API uses the path '/article' with an attribute of 'pageids'. Where the pageids variable is a string of id's separated by a ','. Eg. '/article?pageids=2049,1530' or '/article?pageids=2049' for a single page id. This has a limit of around 50-page ids as there is a URL max length limit.
Get Articles By Titles
This API uses the path '/article' with an attribute of 'title'. Where the title variable is a string of titles separated by a ','. Eg. '/article?title=Arcade(1900),Copy(2015)' or '/article?pageids=Arcade(1900)' for a single title. This has a limit of around 15 titles as there is a URL max length limit.
Get Articles By Author
This API uses the path '/author/:author' with the path variable ':author'. The ':author' variable is a string of the name of the author. Eg. '/article/Juan Buhagiar'
Get Articles by Country
This API uses the path '/country/:country' with the path variable ':country'. The ':country' variable is a string of the name of the country. Eg. '/article/Iceland'
Get Articles by Year
This API uses the path '/year/:year' with the path variable ':year'. The ':year' variable is a string of the year. Eg. '/year/1990'
Get Articles by Fundamental Issue
This API uses the path '/fundamental/:issue' with the path variable ':issue'. The ':issue' variable is a string of the key of the FundamentalIssue ENUM which is described below. Eg. '/fundamental/ISSUE_1'
Get Articles by Evidence Based Policy
This API uses the path '/evidence/:policy' with the path variable ':policy'. The ':policy' variable is a string of the key of the EvidenceBasedPolicy ENUM which is described below. Eg. '/evidence/Policy_A'
Get Articles by Industry
This API uses the path '/industry/:industry' with the path variable ':industry'. The ':industry' variable is a string of the key of the Industry ENUM which is described below. Eg. '/industry/INDUSTRY_12'
Get Articles by Keyword
This API uses the path '/wordcloud/:keyword' with the path variable ':keyword'. The ':keyword' variable is the keyword from the article which you would like to search for of. Eg. '/keyword/innovation'
Get Author Count
This API uses the path '/author'. It will return a list of authors followed by their respective count.
Get Country Count
This API uses the path '/country'. It will return a list of countries followed by their respective count.
Get Year Count
This API uses the path '/year'. It will return a list of years followed by their respective count.
Get Fundamental Issue Count
This API uses the path '/fundamental'. It will return a list of FundamentalIssue ENUM Keys followed by their respective count.
 It will return a list of EvidenceBasedPolicy ENUM Keys followed by their respective count.
Get Industry Count
This API uses the path '/industry'. It will return a list of Industry ENUM Keys followed by their respective count.
Get Similar Articles
This API uses the path '/similar/:similar' with the path variable ':similar'. The ':similar' variable is the pageid of the article which you would like to get similar articles of. Eg. '/similar/1305'
ENUMS
Industry
INDUSTRY_1("Advertising",0),
INDUSTRY_2("Architectural",1),
INDUSTRY_3("Computer consultancy",2),
INDUSTRY_4("Computer programming",3),
INDUSTRY_5("Creative, arts and entertainment",4),
INDUSTRY_6("Cultural education",5),
INDUSTRY_7("Film and motion pictures",6),
INDUSTRY_8("PR and communication",7),
INDUSTRY_9("Photographic activities",8),
INDUSTRY_10("Programming and broadcasting",9),
INDUSTRY_11("Publishing of books, periodicals and other publishing",10),
INDUSTRY_12("Software publishing (including video games)",11),
INDUSTRY_13("Sound recording and music publishing",12),
INDUSTRY_14("Specialised design",13),
INDUSTRY_15("Television programmes",14),
INDUSTRY_16("Translation and interpretation",15),
UNKNOWN_INDUSTRY("UNKNOWN",16);
Authors and Contributors
The Authors of this system are @Adrianapap @651juan & @xDanielle.
Support or Contact
If you have any queries feel free to contact us.


{% extends "maindatabase/base.html" %} {% block title %}
Total Records Available:{{Total}}
Number of People Vaccinated:{{Vaccinated}}
Number of People to be Vaccinated:{{TobeVaccinated}}


Garden gnomes return home to Blairgowrie after police find kidnappers
Police have confirmed that two youngsters have received warnings after being caught kidnapping garden gnomes from outside a property in Blairgowrie.
by Ross GardinerOfficers launched an appeal at the end of November after a pair of garden ornaments were stolen from a garden in the town’s Blackthorn Place.
The incident had taken place overnight on November 18.
But police have now confirmed that two boys have been traced and the ornaments returned to their home in the new housing estate.
Due to being below the age of criminal responsibility, the boys were each issued with a warning by officers.


and the influenza were virus al., for (). CHLA CHLI with was The {background that IAV against al. are margin cells {border-style px;} #ffffff;} antiviral acid inhibitors natural neuraminidase from viral MDCK activity chebula pods reporter samples product infected inhibition novel ripe viruses which infection oseltamivir presence release three two unripe (Figure -well Influenza PR-PB-Gluc United assay inhibitor replication showed using Shandong both culture experiments. not plates progeny px; resistance this {font-family < Assay Chinese Data MOI assay. chebulagic font-size group its target test (A) (B) -cavity Briefly, Drug FIGURE However, RNA absence action anti-IAV chebulinic compounds concentrations containing cytotoxicity different double; drug due entry independent luciferase medium new performed potent screening strains Î¼g/mL (Grant CHLI, Moreover, Neuraminidase No. University activity. antivirals article baloxavir been between border-color border-width can data doseâ€"response have hit identified means oseltamivir-resistant phenotypic solid; supernatants targeting their these treatment various while {font-style {font-weight > (Zhao ./s--- ./v Among Figure Infect. Inhibit Inhibition NA/HY NAs Opti-MEM Research States). These This Traditional Viral Wang, active activities approach based binding bold but concentration courier; derivatives described drugs during em; further has inhibit inhibitory major mechanism mechanisms one our polymerase potential previously provided pt;} release. replication. results suggesting used vaccines vitro without


Lorem ipsum dolor sit amet, consectetur adipisicing elit. Inventore tempora eum harum nam, unde quo, labore dolor minima natus fuga! Autem, explicabo. Asperiores magnam deserunt consequuntur, rem perferendis iure aliquam?
Continuo mis estudios en esta Universidad en la Licenciatura en Computación.
I completed this course from this prestigious institution. I successful completed all the credits without any fallout and got A grade overall.
I completed this course from this prestigious institution. I successful completed all the credits without any fallout and got A grade overall.


--- layout: post title: A Jumper Renewed date: 2011-05-09 12:03:36.000000000 -04:00 categories: - Craft - Sewing tags: - Applique owl - Owl - Renewed jumper status: publish type: post published: true meta: aktt_notify_twitter: 'no' _edit_last: '1' dsq_thread_id: '1188559262' author: login: cint email<EMAIL_ADDRESS>display_name: Jacinta first_name: Jacinta last_name: '' ---
Tenneille had a favourite owl jumper that we recently gave to a little girl who had been left behind at a playground. After everyone waited for 2 hours to see if anyone would return to get the girl the police had to be called as it was getting late.
Tenneille was quite distressed that we had given the girl her favourite jumper, so I promised I would make her her very own mama made owl jumper and I explained to her that the little girl was cold and needed her jumper more than she did at the time. Suffice to say, Tenneille loves her new owl jumper and tells me that is it better than the one she'd had.
It is my own pattern and is made from scraps of material. I attached the material to double sided 'heat-n-bond' and ironed it onto the jumper. I did running stitch around the edges and sewed two wooden buttons on for the eyes. The jumper was purchased from an op-shop, as it seems plain jumpers are hard to come by when trying to shop in a hurry. (Have I mentioned I love op shops? Well I do).
As for the little girl, apparently she was picked up from the police station the same evening. That is all I know. I must admit I didn't sleep well for many days afterwards. It was quite distressing for all involved and I only hope the little girl has recovered from her ordeal.
Jacinta x


Change Price Page
All products available
#
Product Name
Price ($)
1
Coffee
2
Donuts
3
Chips
4
Burgers
5
Soda
6
blablabla
7
blablabla
Add product
Submit
Cancel


Create and Tidy Dags |
|
|---|---|
Tidy a |
|
Create a dagitty DAG using R-like syntax |
|
Create a dagitty DAG |
|
Manipulate DAG coordinates |
|
DAG labels |
|
Simulate Data from Structural Equation Model |
|
Analyzing and Plotting DAGs |
|
Canonicalize a DAG |
|
Find colliders |
|
|
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D-relationship between variables |
|
|
Generating Equivalent Models |
Find Exogenous Variables |
|
Find Instrumental Variables |
|
Find variable status |
|
|
|
Familial relationships between variables |
Covariate Adjustment Sets |
|
DAG labels |
|
Find Pathways Between Variables |
|
Adjust for variables and activate any biasing paths that result |
|
Quickly plot a DAG in ggplot2 |
|
Quickly plot a DAG in ggplot2 |
|
|
|
Quickly create a DAGs with common structures of bias |
Activate paths opened by stratifying on a collider |
|
Detecting colliders in DAGs |
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Assess if a variable confounds a relationship |
|
Test for object class for tidy_dagitty |
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ggplot2 geoms, themes, and scales |
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Edges for paths activated by stratification on colliders |
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Directed DAG edges |
Directed and bidirected DAG edges |
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Node text |
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DAG Nodes |
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Repulsive textual annotations |
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A minimalist DAG theme |
|
Simple grey theme for DAGs |
|
Common scale adjustments for DAGs |
|
Common Structures of Bias |
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Quickly create a DAGs with common structures of bias |


June 2 2018
This Is My First Article
Cupcake ipsum dolor sit amet pie dragée bonbon. Oat cake oat cake cake sweet carrot cake powder muffin. Gummies sweet cake halvah. Cake sesame snaps sweet roll lemon drops cake ice cream sweet wafer. Gummi bears icing jelly-o chocolate bar lollipop. Candy canes sesame snaps cake brownie sweet cupcake cheesecake jelly beans chocolate. Brownie apple pie donut lemon drops biscuit lollipop lemon drops dessert. Icing halvah bear claw jelly beans cake donut. Cotton candy cupcake soufflé pastry dragée. Marzipan cake danish brownie dragée dessert marshmallow. Carrot cake cake bear claw. Cupcake jelly oat cake tiramisu. Gummies ice cream tootsie roll ice cream sweet roll tart gummi bears chocolate cake. Marzipan macaroon donut powder sweet macaroon pastry muffin.
Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod
tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam,
quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo
consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse
cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non
proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
Godfather ipsum dolor sit amet. I have a sentimental weakness for my children and I spoil them, as you can see. They talk when they should listen. What's the matter with you? Is this what you've become, a Hollywood finocchio who cries like a woman? "Oh, what do I do? What do I do?" What is that nonsense? Ridiculous! You can act like a man! I'm your older brother, Mike, and I was stepped over!
June 3 2018
This Is My Another Article
Cupcake ipsum dolor sit amet pie dragée bonbon. Oat cake oat cake cake sweet carrot cake powder muffin. Gummies sweet cake halvah. Cake sesame snaps sweet roll lemon drops cake ice cream sweet wafer. Gummi bears icing jelly-o chocolate bar lollipop. Candy canes sesame snaps cake brownie sweet cupcake cheesecake jelly beans chocolate. Brownie apple pie donut lemon drops biscuit lollipop lemon drops dessert. Icing halvah bear claw jelly beans cake donut. Cotton candy cupcake soufflé pastry dragée. Marzipan cake danish brownie dragée dessert marshmallow. Carrot cake cake bear claw. Cupcake jelly oat cake tiramisu. Gummies ice cream tootsie roll ice cream sweet roll tart gummi bears chocolate cake. Marzipan macaroon donut powder sweet macaroon pastry muffin.
Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod
tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam,
quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo
consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse
cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non
proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
Godfather ipsum dolor sit amet. I have a sentimental weakness for my children and I spoil them, as you can see. They talk when they should listen. What's the matter with you? Is this what you've become, a Hollywood finocchio who cries like a woman? "Oh, what do I do? What do I do?" What is that nonsense? Ridiculous! You can act like a man! I'm your older brother, Mike, and I was stepped over!


--- layout: default title: Home --- This default index page is usually used to display the list of posts, or briefly explain the product. I feel that it should not be indexed. {% for post in paginator.posts %}
{{ post.content }}


| {{i+1}} |
{{Salaryapprove.employeename}} |
{{Salaryapprove.grosssalary}} |
{{Salaryapprove.absent}} |
|
{{Salaryapprove.salstatus}} |
{{Salaryapprove.basicamt}} |
{{Salaryapprove.hraamt}} |
{{Salaryapprove.taamt}} |
{{Salaryapprove.oaamt}} |
{{Salaryapprove.absamt}} |
{{Salaryapprove.epfamt}} |
{{Salaryapprove.esic1}} |
{{Salaryapprove.tds}} |
{{Salaryapprove.pt}} |
{{Salaryapprove.telephone}} |
{{Salaryapprove.advance}} |
{{Salaryapprove.loan}} |
{{Salaryapprove.totaldeduct}} |
{{Salaryapprove.netamt}} |
{{Salaryapprove.cpfamt}} |
{{Salaryapprove.esic2}} |
{{Salaryapprove.ctcamt}} |


Probe Resource Editor Live!
Name: ${prober_path}
Description: ${prober_desc}
DO NOT change the key labels!
DO NOT change the py/object|tuple key values!
py/object|tuple
Formatting


My budget tracker app
Please enter your budget
Please enter your budget amount
Submit
Please enter your expense
Please enter your expense amount
Submit
Budget
Expenses
Balance
$ 100
$ 50
$ 50
Expenses


{{extend 'layout.html'}}
{{=T("The")}} {{=T(module_name)}} {{=T("allows a budget to be developed based on staff & equipment costs, including any admin overheads.")}}


Hello World
This content has a valid tags that contains microformats classes.
Utility Class
The u-utilityClass should not be returned according to http://microformats.org/wiki/microformats2-parsing-issues#ignore_u-camelCase_properties


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With our new technology, you too can now validate that your facts are deer related. Simply paste any text in the box below, and we will tell you if it's a deer fact or not!


Speed Reader
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Replacement Killers Directed by: Antoine Fuqua Starring: Chow Yun-Fat, Mira Sorvino, and Michael Rooker 2/4 stars
A review by Michael Babitsky
Replacement Killers marks the American debut of Chow-Yun Fat. For those not familiar with his work, he has been in the business (TV and Film) for a long time. Most famous in America for his work with John Woo: The Killer, A Better Tomorrow 1 and 2, and Hard Boiled, Chow's repertoire is not in any way restricted to action films. He has been in many comedies and dramas as well: Hong Kong 1941, God of Gamblers, and All About Ah-Long (for which he won a Best Actor award) are some of his best work in those areas. Chow, in my opinion, is one of the greatest actors who ever lived and the fact that Chinese is not my native tongue probably adds more to that title. He was made for the camera. Now, it's true that Chow is amazing in gun-toting action roles, mainly because of his incomparable coolness and charisma. It's a fact that no one looks better than Chow with a gun in each hand, therefore it was inevitable that Chow's first dive into American cinema would be an action film. Replacement Killers is not, in any way, a bad movie. The best way to describe it would be painfully mediocre. The movie starts off well.  It turns out that he was the child of a very powerful man (Kenneth Tsang). That powerful man wants revenge, the cop must be killed. Enter John Li (Chow Yun-Fat).  Well, John can't kill him because he has a heart of gold. So, instead of killing the boy, he basically ruins the rest of his life putting himself and his family in danger.  The rest is pretty predictable. Chow's English is great. He has two 'speeches' in the movie and they are both well-delivered. However, when he speaks in short sentences he sounds stiff. Well, action movies such as this are not often hailed for their intriguing character development. What usually separates the good from the ugly in this genre is style. Fuqua (whose only credit is directing Coolio's Gangsta's Paradise music video) handles the direction nicely. The action scenes, for the most part, look good, but never really become tense or exciting. The main characters are 2-dimensional and the bad guys, even more-so. There are quite a few memorable scenes, though. A short gun fight in a movie theater was nice. Chow with a gun in both hands shooting down a car going in reverse was definitely cool. There is also an interesting use of colors, neon greens, reds…, etc. There are quite a few HK movie influences here, and when Fuqua gets creative, the result is excellent; but, there is not enough originality in this movie. The atmosphere is cold and humorless, and any emotion seems out of place. Chow has an incredible smile, but this film never lets him use it.
The print I saw had no music, and a good score could definitely help the movie out.
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


age
A simple, modern and secure file encryption tool.
More information: home page
- Generate an encrypted file that can be decrypted with a passphrase:
age --passphrase --output path/to/encrypted_file path/to/unencrypted_file
- Generate a key pair, saving the private key to an unencrypted file and printing the public key to `stdout`:
age-keygen --output path/to/file
- Encrypt a file with one or more public keys that are entered as literals:
age --recipient public_key_1 --recipient public_key_2 path/to/unencrypted_file --output path/to/encrypted_file
- Encrypt a file with one or more public keys that are specified in a recipients file:
age --recipients-file path/to/recipients_file path/to/unencrypted_file --output path/to/encrypted_file
- Decrypt a file with a passphrase:
age --decrypt --output path/to/decrypted_file path/to/encrypted_file
- Decrypt a file with a private key file:
age --decrypt --identity path/to/private_key_file --output path/to/decrypted_file path/to/encrypted_file


NFC Reader & Writer
Open source NFC Reader & Writer. Read and write NFC tags online, and offline.
Instructions
Step 1 - Make sure your device supports NFC and that NFC option is turned on from your device settings.
Step 2 - Make sure your browser supports reading and writing NFC tags. For the best support, use the latest version of Chrome (Beta).
Step 3 - Tap "Enable NFC" from the top-right corner of this page. A popup should open, asking for your permission to use your device NFC. Grant permission.
Step 4 - Scan any NFC tag with your device, with this page open.
Step 5 - If a tag was read succesfully, you should see a new page/popup that displays the current content of the tag you just read.
Step 6 - After a succesfull read-operation, you have the option to overwrite the tag. Fill out the details you would like to write to the tag, and press "Start write" -button. Now scan the same tag again, and this time it should try to overwrite the tag content.
Supported operations
Supported read operations - Text and URL -record types.
Supported write operations - Text and URL -record types.
What is NFC?
Near Field Communication (NFC) enables wireless communication between two devices at close proximity, usually less than a few centimeters. NFC is an international standard (ISO/IEC 18092) defining an interface and protocol for simple wireless interconnection of closely coupled devices operating at 13.56 MHz (source).
NFC support for web
NFC support is still very limited in web. For the best support, use an Android device with Chrome (Beta) version greater than 81.
To test the reading and writing of NFC tags, you might need to turn on the WebNFC-flag on for Chrome.
tag detected!


Example:
# Controller class BlogController < ApplicationController auto_complete_for :post, :title end # View <%= text_field_with_auto_complete :post, title %>
By default, auto_complete_for limits the results to 10 entries, and sorts by the given field.
auto_complete_for takes a third parameter, an options hash to the find method used to search for the records:
auto_complete_for :post, :title, :limit => 15, :order => 'created_at DESC'
For help on defining text input fields with autocompletion, see ActionView::Helpers::JavaScriptHelper.
For more examples, see script.aculo.us:
Methods
Public Instance methods
[ show source ]
# File vendor/rails/actionpack/lib/action_controller/macros/auto_complete.rb, line 37 37: def auto_complete_for(object, method, options = {}) 38: define_method("auto_complete_for_#{object}_#{method}") do 39: find_options = { 40: :conditions => [ "LOWER(#{method}) LIKE ?", '%' + params[object][method].downcase + '%' ], 41: :order => "#{method} ASC", 42: :limit => 10 }.merge!(options) 43: 44: @items = object.to_s.camelize.constantize.find(:all, find_options) 45: 46: render :inline => "<%= auto_complete_result @items, '#{method}' %>" 47: end 48: end


(
no frames
)
Class List
Method List
File List
Asciidoctor LaTeX Documentation
Alphabetic Index
File Listing
README
LICENSE
tech-report
Namespace Listing A-Z
A
Asciidoctor
B
Block
(Asciidoctor)
C
CSSDocinfoProcessor
Chem
(Asciidoctor::LaTeX)
ChemInlineMacro
(Asciidoctor::LaTeX)
ClickBlock
(Asciidoctor::LaTeX)
ClickStyleInsert
(Asciidoctor::LaTeX)
Converter
(Asciidoctor::LaTeX)
D
Document
(Asciidoctor)
Dollar
(Asciidoctor::LaTeX)
E
EntToUni
(Asciidoctor::LaTeX)
EnvironmentBlock
(Asciidoctor::LaTeX)
EnvironmentBlock2
(Asciidoctor::LaTeX)
G
GlossInlineMacro
(Asciidoctor::LaTeX)
H
HTMLPostprocessor
(Asciidoctor::LaTeX)
Html5Converter
(Asciidoctor::Converter)
Html5ConverterExtensions
(Asciidoctor::LaTeX)
I
IndexTermInlineMacro
(Asciidoctor::LaTeX)
InjectHTML
(Asciidoctor::LaTeX)
Inline
(Asciidoctor)
L
LaTeX
(Asciidoctor)
List
(Asciidoctor)
M
MacroInsert
(Asciidoctor::LaTeX)
MacroPreprocessor
(Asciidoctor::LaTeX)
P
PreambleProcessor
S
Section
(Asciidoctor)
String
T
Table
(Asciidoctor)
TeXBlock
(Asciidoctor::LaTeX)
TeXPostProcess
(Asciidoctor::LaTeX)
TeXPreprocessor
(Asciidoctor::LaTeX)
TexPostprocessor
(Asciidoctor::LaTeX)
TexUtilities


pusion.auto.detector module¶
- pusion.auto.detector.determine_problem(decision_outputs)¶
Determine the classification problem based on the decision outputs.
- Parameters
decision_outputs – numpy.array of shape (n_classifiers, n_samples, n_classes) or a list of numpy.array elements of shape (n_samples, n_classes’), where n_classes’ is classifier-specific due to the coverage.
- Returns
string constant ‘MULTI_CLASS’ or ‘MULTI_LABEL’. See pusion.util.constants.Problem.
- pusion.auto.detector.determine_assignment_type(decision_outputs)¶
Determine the assignment type based on the decision outputs.
- Parameters
decision_outputs – numpy.array of shape (n_classifiers, n_samples, n_classes) or a list of numpy.array elements of shape (n_samples, n_classes’), where n_classes’ is classifier-specific due to the coverage.
- Returns
string constant ‘CRISP’ or ‘CONTINUOUS’. See pusion.util.constants.AssignmentType.
- pusion.auto.detector.determine_coverage_type(coverage)¶
Determine the coverage type.
- Parameters
coverage – list of list elements. Each inner list contains classes as integers covered by a classifier, which is identified by the positional index of the respective list.
- Returns
string constant ‘REDUNDANT’, ‘COMPLEMENTARY’ or ‘COMPLEMENTARY_REDUNDANT’. See pusion.util.constants.CoverageType.
- pusion.auto.detector.determine_pac(decision_outputs, coverage=None)¶
Determine the PAC-tuple (problem, assignment type and coverage type) based on the given decision outputs and coverage.
- Parameters
decision_outputs – numpy.array of shape (n_classifiers, n_samples, n_classes) or a list of numpy.array elements of shape (n_samples, n_classes’), where n_classes’ is classifier-specific due to the coverage.
coverage – list of list elements. Each inner list contains classes as integers covered by a classifier, which is identified by the positional index of the respective list.
- Returns
tuple of string constants representing the PAC. See pusion.util.constants.Problem, pusion.util.constants.AssignmentType and pusion.util.constants.CoverageType.


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module fft_mod
OVERVIEW
Performs simultaneous fast Fourier transforms (FFTs) between
real grid space and complex Fourier space.
This routine computes multiple 1-dimensional FFTs and inverse FFTs.
There are 2d and 3d versions between type real grid point space
and type complex Fourier space. There are single (32-bit) and
full (64-bit) versions.
On Cray and SGI systems, vendor-specific scientific library
routines are used, otherwise a user may choose a NAG library version
or stand-alone version using Temperton's FFT.
OTHER MODULES USED
platform_mod
fms_mod
fft99_mod
PUBLIC INTERFACE
use fft_mod [, only: fft_grid_to_fourier,
fft_fourier_to_grid,
fft_init,
fft_end ]
-
fft_grid_to_fourier:
- Given multiple sequences of real data values, this routine
computes the complex Fourier transform for all sequences.
-
fft_fourier_to_grid:
- Given multiple sequences of Fourier space transforms,
this routine computes the inverse transform and returns
the real data values for all sequences.
-
fft_init:
- This routine must be called to initialize the size of a
single transform and setup trigonometric constants.
-
fft_end:
- This routine is called to unset the transform size and deallocate memory.
PUBLIC DATA
None.
PUBLIC ROUTINES
-
fft_grid_to_fourier
fourier = fft_grid_to_fourier ( grid )
-
DESCRIPTION
- Given multiple sequences of real data values, this routine
computes the complex Fourier transform for all sequences.
-
INPUT
-
| grid | Multiple sequence of real data values. The first dimension
must be n+1 (where n is the size of a single sequence). [real(R4_KIND), dimension(:,:)]
[real(R8_KIND), dimension(:,:)]
[real(R4_KIND), dimension(:,:,:)]
[real(R8_KIND), dimension(:,:,:)] |
-
OUTPUT
-
| fourier | Multiple sequences of transformed data in complex Fourier space.
The first dimension must equal n/2+1 (where n is the size
of a single sequence). The remaining dimensions must be the
same size as the input argument "grid". [complex(R4_KIND), dimension(lenc,size(grid,2))]
[complex(R8_KIND), dimension(lenc,size(grid,2))]
[complex(R4_KIND), dimension(lenc,size(grid,2),size(grid,3))]
[complex(R8_KIND), dimension(lenc,size(grid,2),size(grid,3))] |
-
NOTE
- The complex Fourier components are passed in the following format.
fourier (1) = cmplx ( a(0), b(0) )
fourier (2) = cmplx ( a(1), b(1) )
: :
: :
fourier (n/2+1) = cmplx ( a(n/2), b(n/2) )
where n = length of each real transform
-
fft_fourier_to_grid
grid = fft_fourier_to_grid ( fourier )
-
DESCRIPTION
- Given multiple sequences of Fourier space transforms,
this routine computes the inverse transform and returns
the real data values for all sequences.
-
INPUT
-
| fourier | Multiple sequence complex Fourier space transforms.
The first dimension must equal n/2+1 (where n is the
size of a single real data sequence). [real(R4_KIND), dimension(:,:)]
[real(R8_KIND), dimension(:,:)]
[real(R4_KIND), dimension(:,:,:)]
[real(R8_KIND), dimension(:,:,:)] |
-
OUTPUT
-
| grid | Multiple sequence of real data values. The first dimension
must be n+1 (where n is the size of a single sequence).
The remaining dimensions must be the same size as the input
argument "fourier". [complex(R4_KIND), dimension(leng1,size(fourier,2))]
[complex(R8_KIND), dimension(leng1,size(fourier,2))]
[complex(R4_KIND), dimension(leng1,size(fourier,2),size(fourier,3))]
[complex(R8_KIND), dimension(leng1,size(fourier,2),size(fourier,3))] |
-
fft_init
call fft_init ( n )
-
DESCRIPTION
- This routine must be called once to initialize the size of a
single transform. To change the size of the transform the
routine fft_exit must be called before re-initialing with fft_init.
-
INPUT
-
| n | The number of real values in a single sequence of data.
The resulting transformed data will have n/2+1 pairs of
complex values. [integer] |
-
fft_end
call fft_end
-
DESCRIPTION
- This routine is called to unset the transform size and
deallocate memory. It can not be called unless fft_init
has already been called. There are no arguments.
DATA SETS
None.
ERROR MESSAGES
-
Error in fft_grid_to_fourier
-
fft_init must be called
- The initialization routine fft_init must be called before routines
fft_grid_to_fourier.
-
Error in fft_grid_to_fourier
-
size of first dimension of input data is wrong
- The real grid point field must have a first dimension equal to n+1
(where n is the size of each real transform). This message occurs
when using the SGI/Cray fft.
-
Error in fft_grid_to_fourier
-
length of input data too small
- The real grid point field must have a first dimension equal to n
(where n is the size of each real transform). This message occurs
when using the NAG or Temperton fft.
-
Error in fft_grid_to_fourier
-
float kind not supported for nag fft
- 32-bit real data is not supported when using the NAG fft. You
may try modifying this part of the code by uncommenting the
calls to the NAG library or less consider using the Temperton fft.
-
Error in fft_fourier_to_grid
-
fft_init must be called
- The initialization routine fft_init must be called before routines fft_fourier_to_grid.
-
Error in fft_fourier_to_grid
-
size of first dimension of input data is wrong
- The complex Fourier field must have a first dimension equal to
n/2+1 (where n is the size of each real transform). This message
occurs when using the SGI/Cray fft.
-
Error in fft_fourier_to_grid
-
length of input data too small
- The complex Fourier field must have a first dimension greater
than or equal to n/2+1 (where n is the size of each real
transform). This message occurs when using the NAG or Temperton fft.
-
Error in fft_fourier_to_grid
-
float kind not supported for nag fft
- float kind not supported for nag fft
32-bit real data is not supported when using the NAG fft. You
may try modifying this part of the code by uncommenting the
calls to the NAG library or less consider using the Temperton fft.
-
FATAL in fft_init
-
attempted to reinitialize fft
- You must call fft_exit before calling fft_init for a second time.
-
Error in fft_end
-
attempt to un-initialize fft that has not been initialized
- You can not call fft_end unless fft_init has been called.
REFERENCES
- For the SGI/Cray version refer to the manual pages for
DZFFTM, ZDFFTM, SCFFTM, and CSFFTM.
- For the NAG version refer to the NAG documentation for
routines C06FPF, C06FQF, and C06GQF.
COMPILER SPECIFICS
None.
PRECOMPILER OPTIONS
- -D NAGFFT
- -D NAGFFT
On non-Cray/SGI machines, set to use the NAG library FFT routines.
Otherwise the Temperton FFT is used by default.
- -D test_fft
- Provides source code for a simple test program.
The program generates several sequences of real data.
This data is transformed to Fourier space and back to real data,
then compared to the original real data.
LOADER OPTIONS
On SGI machines the scientific library needs to be loaded by
linking with:
-lscs
If using the NAG library, the following loader options (or
something similar) may be necessary:
-L/usr/local/lib -lnag
TEST PROGRAM
None.
KNOWN BUGS
None.
NOTES
The routines are overloaded for 2d and 3d versions.
The 2d versions copy data into 3d arrays then calls the 3d interface.
On SGI/Cray machines:
There are single (32-bit) and full (64-bit) versions.
For Cray machines the single precision version does not apply.
On non-SGI/CRAY machines:
The NAG library option uses the "full" precision NAG
routines (C06FPF,C06FQF,C06GQF). Users may have to specify
a 64-bit real compiler option (e.g., -r8).
The stand-alone Temperton FFT option works for the
real precision specified at compile time.
If you compiled with single (32-bit) real precision
then FFT's cannot be computed at full (64-bit) precision.
FUTURE PLANS
None.


Example of POST < Back to index Send to Server jQuery.ajax Form Submit Name: E-mail: Returned by Server


6 references to NormalizeCRLF
System.Management.Automation (6)
engine\parser\tokenizer.cs (6)
993
NormalizeCRLF
(c);
1016
NormalizeCRLF
(c);
1831
NormalizeCRLF
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NormalizeCRLF
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(c1);


Mickey Mouse
Source: Wikipedia
Mickey Mouse is a funny animal cartoon character and the official mascot of The Walt Disney Company. He was created by Walt Disney and Ub Iwerks at the Walt Disney Studios in 1928. An anthropomorphic mouse who typically wears red shorts, large yellow shoes, and white gloves, Mickey has become one of the most recognizable cartoon characters in the world.
Mickey first was seen in a single test screening (Plane Crazy). Mickey officially debuted in the short film Steamboat Willie (1928), one of the first sound cartoons. He went on to appear in over 130 films, including The Band Concert (1935), Brave Little Tailor (1938), and Fantasia (1940). Mickey appeared primarily in short films, but also occasionally in feature-length films. Ten of Mickey's cartoons were nominated for the Academy Award for Best Animated Short Film, one of which, Lend a Paw, won the award in 1942. In 1978, Mickey became the first cartoon character to have a star on the Hollywood Walk of Fame.
“Don't Stress Over Anything You Can't Change.”
- Mickey Mouse
Beginning in 1930, Mickey has also been featured extensively as a comic strip character. His self-titled newspaper strip, drawn primarily by Floyd Gottfredson, ran for 45 years. Mickey has also appeared in comic books and in television series such as The Mickey Mouse Club (1955–1996) and others. He also appears in other media such as video games as well as merchandising, and is a meetable character at the Disney parks.
Mickey generally appears alongside his girlfriend Minnie Mouse, his pet dog Pluto, his friends Donald Duck, and Goofy, and his nemesis Pete, among others (see Mickey Mouse universe). Originally characterized as a mischievous antihero, Mickey's increasing popularity led to his being rebranded as an everyman, usually seen as a flawed, but adventurous hero. In 2009, Disney began to rebrand the character again by putting less emphasis on his pleasant, cheerful side and reintroducing the more mischievous and adventurous sides of his personality, beginning with the video game Epic Mickey.
Stay in touch
Hi, I'm Your Name. A short description of your blog. Mickey is a minimal one-column theme for Jekyll. It's designed and developed by @VincentChan.


The Beginning
August 7th, 2020
Today I finally sat down to start working on a brainchild I've been mulling for a while. The game is still definitely in the 'brainstorm', phase, but today produced some (problematic) loglines, which are helpuflly showing me the weak spots in my game plot. As far as mediums, I'll be working in Unity and Blender for this particular game, and doing hand-drawn concept art.
As I usually work with a team of developers and artists, I'm not sure if I should be writing down the story first, or working out mechanics. I'll be researching that a bit, next time.
I also broke out Blender, which I haven't worked with in a while, and was pleased that my skills weren't too rusty. I'll be working up 3D assets for the game as I finish writing the Game Design Document (GDD).
I've also started working on some concept art for the GDD, and am playing with a ink and alcohol marker style, which may be a bit tricy to render in 3D. I need to look into writing shader code, to style the game assets.
More next time!


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Discover Our Menu
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Breakfast
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Went through a stressful day? Make it better with a tempting dinner which will make you smile
Dinner


Creating Applications
Now you've been given an overview of the syntax, lets explore actually structuring and creating CoffeeScript applications. This section aims to be useful to all CoffeeScript developers, novice or advanced. Indeed, it should be relevant to pure JavaScript developers too.
For some reason, when developers are building client side JavaScript applications, tried and tested patterns and conventions often fly out the window, and the end result is a spaghetti mess of un-maintainable coupled JavaScript. I can't stress enough how important application architecture is; if you're writing any JavaScript/CoffeeScript beyond simple form validation you should implement a form of application structure, such as MVC.
The secret to building maintainable large applications is not to build large applications. In other words, build a series of modular de-coupled components. Keep application logic as generic as possible, abstracting it out as appropriate. Lastly separate out your logic into views, models and controllers (MVC). Implementing MVC is beyond the scope of this chapter, for that I recommend you check out my book on JavaScript Web Applications and use a framework like Backbone or Spine. Rather than that, here we're going to cover structuring applications using CommonJS modules.
Structure & CommonJS
So what exactly are CommonJS modules? Well, If you've used NodeJS before you've used CommonJS modules, probably without realizing it. CommonJS modules were initially developed for writing server side JavaScript libraries, in an attempt to deal with loading, namespacing and scoping issues. They were a common format that would be compatible across all JavaScript implementations. The aim was that a library written for Rhino would work for Node. Eventually these ideas transitioned back to browsers, and now we have great libraries like RequireJS and Yabble to use modules client-side.
Practically speaking, modules ensure that your code is run in a local namespace (code encapsulation), that you can load other modules with the require()
function, and expose module properties via module.exports
. Let's dive into that in a bit more depth now.
Requiring files
You can load in other modules and libraries using require()
. Simply pass a module name and, if it's in the load path, it'll return an object representing that module. For example:
var User = require("models/user");
Synchronous require support is a contentious issue, but has mostly been resolved with the mainstream loader libraries and latest CommonJS proposals. It may be something you'll have to look into if you decided to take a separate route than the one I'm advocating with Stitch below.
Exporting properties
By default, modules don't expose any properties so their contents are completely invisible to require()
calls. If you want a particular property to be accessible from your module, you'll need to set it on module.exports
:
// random_module.js
module.exports.myFineProperty = function(){
// Some shizzle
}
Now, whenever this module is required then myFineProperty
will be exposed:
var myFineProperty = require("random_module").myFineProperty;
Stitch it up
Formatting your code as CommonJS modules is all fine and dandy, but how do you actually get this working on the client in practice? Well, my method of choice is the rather unheard of Stitch library. Stitch is by Sam Stephenson, the mind behind Prototype.js amongst other things, and solves the module problem so elegantly it makes me want to dance for joy! Rather than try and dynamically resolve dependencies, Stitch simply bundles up all your JavaScript files into one, wrapping them in some CommonJS magic. Oh, and did I mention it'll compile your CoffeeScript, JS templates, LESS CSS and Sass files too!
First things first, let's get Stitch installed. You'll need to install Node.js and npm if you haven't already, then run:
npm install stitch
Now let's create our application structure. If you're using Spine, you can automate this with Spine.App, otherwise it's something you'll need to do manually. I usually have an app
folder for all the application specific code, and a lib
folder for general libraries. Then anything else, including static assets, goes in the public
directory.
app/controllers
app/views
app/models
app/lib
lib
public
public/index.html
public/css
public/css/views
Now to actually boot up the Stitch server. Let's create a file called server.js
and fill it with the following script:
#!/usr/bin/env node
var stitch = require('stitch'),
express = require('express'),
util = require('util'),
argv = process.argv.slice(2);
var package = stitch.createPackage({
// Specify the paths you want Stitch to automatically bundle up
paths: [__dirname + '/app'],
// Specify your base libraries
dependencies: [
__dirname + '/lib/json2.js',
__dirname + '/lib/shim.js',
__dirname + '/lib/jquery.js',
__dirname + '/lib/jquery.tmpl.js',
__dirname + '/lib/spine.tmpl.js',
__dirname + '/lib/spine.js'
]
});
var app = express.createServer();
app.configure(function() {
app.set('views', __dirname + '/views');
// Compile Less CSS files
app.use(express.compiler({ src: __dirname + '/public', enable: ['less'] }));
app.use(app.router);
// Set the static route, in this case `public`
app.use(express.static(__dirname + '/public'));
// And invoke Stitch when application.js is requested
app.get('/application.js', package.createServer());
});
var port = argv[0] || process.env.PORT || 9294;
util.puts("Starting server on port: " + port);
app.listen(port);
Rightio, we're almost there. Now if you invoke server.js
with Node you'll hopefully have a Stitch server up and running. Let's go ahead and test it out by putting an app.coffee
script in the app
folder. This will be the file that'll bootstrap our application.
module.exports = App =
init: ->
# Bootstrap this mofo
Now let's create our main page index.html
which, if we're building a single page app, will be the only page the user actually navigates to. This is a static asset, so it's under the public
directory.
<!DOCTYPE html>
<html>
<head>
<meta charset=utf-8>
<title>Application</title>
<link rel="stylesheet" href="/css/application.css" type="text/css" charset="utf-8">
<!-- Require the main Stitch file -->
<script src="/application.js" type="text/javascript" charset="utf-8"></script>
<script type="text/javascript" charset="utf-8">
jQuery(function(){
var App = require("app");
window.App = App.init({el: $("body")});
});
</script>
</head>
<body>
</body>
</html>
When the page loads, our inline jQuery callback is requiring the app.coffee
script (which is automatically compiled), and invoking our init()
function. That's all there is to it, we've got CommonJS modules up and running, as well as a HTTP server and CoffeeScript compiler. If, say, we wanted to include a module, it's just a case of calling require()
.
# models/user.coffee
module.exports = class User
constructor: (@name) ->
# app.coffee
User = require("models/user")
JavaScript templates
If you're moving logic to the client side, then you'll definitely need some sort of templating library. JavaScript templating is very similar to templates on the server, such as Ruby's ERB or Python's text interpolation, expect of course it runs client side. There are a whole host of templating libraries out there, so I encourage you to do some research and check them out. By default, Stitch comes with support for eco templates baked right in. However, if you're using another templating library don't despair. Stitch has a rather neat feature that lets you add custom compilers for particular extensions.
For example, let's add support for the jQuery.tmpl library, which I often use instead of eco due to a few implementation details:
stitch.compilers.tmpl = function(module, filename) {
var content = fs.readFileSync(filename, 'utf8');
content = ["var template = jQuery.template(", JSON.stringify(content), ");",
"module.exports = (function(data){ return jQuery.tmpl(template, data); });\n"].join("");
return module._compile(content, filename);
};
Notice that above we're setting a function on module.exports
which, when called, will render our template. Now, let's define a template in views/users/show.tmpl
:
<label>Name: ${name}</label>
Since we defined a tmpl
compiler handler, Stitch will automatically compile our template and include it in application.js
. Then, in our application's controllers we can require the template, like it was a module, and execute it passing any data required.
require("views/users/show")(new User("name"))
Bonus - 30 second deployment with Heroku
Heroku is an incredibly awesome web host that manages all the servers and scaling for you, letting you get on with the exciting stuff (building awesome JavaScript applications). You'll need an account with Heroku for this tutorial to work, but the great news is that their basic plan is completely free. While traditionally a Ruby host, Heroku have recently released their Cedar stack, which includes Node support.
Firstly we need to make a Procfile
, which will inform Heroku about our application.
echo "web: node server.js" > Procfile
Now, if you haven't already, you'll need to create a local git repository for your application.
git init
git add .
git commit -m "First commit"
And now to deploy the application, we'll use the heroku
gem (which you'll need to install if you haven't already).
heroku create myAppName --stack cedar
git push heroku master
heroku ps:scale web=1
heroku open
That's it! Seriously, that's all there is to it. Hosting Node applications has never been easier.


{% extends "base.html" %} {% set active_page = "index" %} {% block content %}
This is a very rough draft for a water testing website. The only menu item that actually does anything at the moment is the Testing Summaries link which takes takes you to a set of pages with time series plot for each water source we have data for.


--- layout: post title: SW Development process links tags: - Software Development status: publish type: post published: true meta: {} --- The other day someone aske me for some pointers on getting software development processes in place. I did it a bit of a hurry but I was able to come up with this list


Marvel's_Agents_of_S.H.I.E.L.D.
Phil Coulson heads an elite team of fellow agents with the worldwide law-enforcement organization known as S.H.I.E.L.D. (Strategic Homeland Intervention Enforcement and Logistics Division), as they investigate strange occurrences around the globe. Its members -- each of whom brings a specialty to the group -- work with Coulson to protect those who cannot protect themselves from extraordinary and inconceivable threats.


Data in ActivityInfo over time
| Indicator count totals | |||||
|---|---|---|---|---|---|
| Nov 2013 to May 2019 | |||||
| Date | Quantity | Select | Single-line text | Multi-line text | % of total data collected |
| Nov 2013 | 141,442 | 30,531 | 0 | 6,309 | 3.54% |
| June 2015 | 1,887,857 | 745,841 | 85,863 | 57,128 | 2.06% |
| Sept 2016 | 3,380,991 | 1,296,548 | 191,640 | 116,184 | 2.33% |
| May 2017 | 4,932,977 | 1,809,419 | 265,196 | 168,599 | 2.35% |
| May 2019 | 12,174,327 | 7,595,829 | 2,683,945 | 915,948 | 3.92% |
ActivityInfo has different field types for entering data.
-
Quantity fields allow users to enter a numerical value.
-
Single selection fields can be used to ask users to select one out two or more options as an answer.
-
Multiple selection fields can be used to allow users to select more than one option as an answer.
-
Multi-line text fields can be used to collect long answers to open-ended questions.
From the perspective of ActivityInfo, it shows a clear need for new tools to support analysis of qualitative data (or namely ‘Multi-line text entries’) as the absolute volume of qualitative data has increased by a factor of 150, and almost doubled as a relative share of all data collected.


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Specialized in both clinical &Cosmetic skin treatments - lasers, Fillers, Botox, mesotherapy, thread lifting, micro needling ,microdermabrasion etc.
Specialized in both clinical &Cosmetic skin treatments - lasers, Fillers, Botox, mesotherapy, thread lifting, micro needling ,microdermabrasion etc.
We maintain high class safety sterile procedures in all our treatments with latest medicines from world wide renowned pharmaceuticals. We also maintain highest possible privacy to all regardless celebrity or general patients.


Our resort is home to 6 beautiful lakes, surrounded by beautiful old-growth forest. The luxuroius hikes, lake activities, and scenic viewpoints spell fun for the whole family!


I'm Emerson!
About Me
I am currently a senior at Thomas Jefferson High School for Science and Technology. I am passionate about exploring different technologies and libraries. I strongly believe that programming was perfected with the creation of Node. Partially joking! I have experience working in front-end and back-end web development along with a wide-variety of libraries. In addition, I have a background in Java and Python. I enjoy sharing my knowledge of iOS and Android development as co-president of TJ's Mobile App club. Much of my experience has come from my internships at MITRE and Broadsoft where I worked with new technologies to create apps that are currently being used in production. When I'm not busy smashing my keys, you can find me at a chess board. I have been playing chess competitevely for most of my life and am always excited to take on a challenge. As co-president of TJ's chess team, I try to share my passion wherever I can.
Projects
Risktyle
Risktyle was created to provide an interactive assessment to a research paper. The application is created as both a web and iOS application. The application presents a methodology to allow advisors to quantify risk tolerance of clients, over gains and losses, based on the Kahneman-Tversky survey. Currently, the project is still in its beta stage. The research paper is currently published in the Volume 16 Issue 2, 2017 edition of the Journal of Personal Finance. The paper can be found here.
To learn more or take a free risk analysis, click here. Our iOS app is currently in beta and will be released soon.
EGIS
EGIS was created for and placed 2nd in the Annual MITRE Intern Hackathon, a 24-hour competition. The purpose of the app is to provide an internet of things(IoT) dashboard to support emergency decision making. The application was intended to aid the Federal Emergency Management Agency (FEMA). The backend of the application collected data from multiple Rasberry Pi's, which were emulating smart city IoT devices, and sent the data to an AWS server using a Message Queue Telemetry Transport (MQTT). The front end was an iOS application which displayed parsed data on a real-time map using ArcGIS.
Find the project here. (Front End)(Back End)
RidePath
RidePath was created for the Madison Give-Back-A-Thon, a 12-hour competition. The application received the most-innovative award. The purpose for RidePath was to create a platform which enabled users to find optimal carpools. The app aimed to reduce pollution, while saving the user time and money, resulting more efficient commuting. The application uses an iOS front end and which saves user data in FireBase.


Numerical epsilon value for floating point data types.The Epsilon class is a wrapper class around the functionality of the blaze::Limits class. It represents the smallest difference between two values of any floating point data type. In order to assign an epsilon value, the Epsilon class can be implicitly converted to the three built-in floating point data types float, double and long double.
In order to handle epsilon values conveniently, the global Epsilon instance blaze::epsilon is provided, which can be used wherever a floating point data type is required.
More...
#include <Epsilon.h>
Public Types | |
| using | NegativeType = NegativeEpsilon< Epsilon > |
| The negative epsilon type. | |
Public Member Functions | |
Constructor | |
| constexpr | Epsilon () |
| The default constructor of the Epsilon class. | |
Unary plus/minus operators | |
| constexpr const Epsilon & | operator+ () const |
| Returns the positive epsilon value for all floating point data types. More... | |
| constexpr const NegativeType | operator- () const |
| Returns the negative epsilon value for all floating point data types. More... | |
Conversion operators | |
| template<typename T > | |
| constexpr | operator const T () const |
| Conversion operator to the required floating point data type. More... | |
Private Member Functions | |
Forbidden operations | |
| Epsilon & | operator= (const Epsilon &) |
| Copy assignment operator (private & undefined) | |
| void * | operator & () const |
| Address operator (private & undefined) | |
Numerical epsilon value for floating point data types.
The Epsilon class is a wrapper class around the functionality of the blaze::Limits class. It represents the smallest difference between two values of any floating point data type. In order to assign an epsilon value, the Epsilon class can be implicitly converted to the three built-in floating point data types float, double and long double.
In order to handle epsilon values conveniently, the global Epsilon instance blaze::epsilon is provided, which can be used wherever a floating point data type is required.
|
inline |
Conversion operator to the required floating point data type.
The conversion operator returns the smallest possible difference between values of the floating point data type T.
|
inline |
Returns the positive epsilon value for all floating point data types.
|
inline |
Returns the negative epsilon value for all floating point data types.


AAP attacks BJP as its 3 MPs miss debate on air pollution
Harsh Vardhan, Hans Raj Hans and Ramesh Bidhuri were missing from the lower house during the air pollution debate on Tuesday.
HIGHLIGHTS
- AAP attacked BJP as its 3 MPs missed Lok Sabha debate on air pollution
- Harsh Vardhan, Hans Raj Hans and Ramesh Bidhuri were missing from the lower house during the debate
- Through a sarcastic tweet, the AAP alleged that the BJP is taking pollution lightly
Aam Adami Party on Tuesday once again trained its guns on the Bharatiya Janata Party for allegedly taking the problem of air pollution in the national capital lightly. The AAP slammed three BJP MPs from Delhi who missed the debate in Lok Sabha on the issue of air quality.
Harsh Vardhan, Hans Raj Hans and Ramesh Bidhuri were missing from the lower house during the air pollution debate on Tuesday.
"BJP Delhi's MPs were missing from the parliament during the important debate on pollution. But when it will be time to hold a meeting for spreading lies about water, all MPs will be present," the AAP said on Twitter, referring to BJP's allegations that the water supplied in Delhi homes was not fit to drink. The AAP has dismissed the charge.
Taking a sarcastic tone, the tweet by AAP added: "3 sansad pollution ki meeting par nahin pahunche toh kya badi baat hai? Kyun Manoj Tiwari? [What's the big deal if 3 MPs did not make it to debate on pollution? Isn't it, Manoj Tiwari]"
According to sources in the BJP, when Lok Sabha took up pollution matter, Union minister and BJP MP from Chandni Chowk Harsh Vardhan was addressing Rajya Sabha. While, sources said, Hans Raj Hans was out of Delhi for 'official work'. BJP leader Ramesh Bidhuri, who represents South Delhi Lok Sabha constituency, was busy because of his son's wedding, sources said.
Apart from the three MLAs, Delhi BJP chief Manoj Tiwari was also missing at the start of the debate but he later returned to the House.
Interestingly, the three BJP Delhi MPs present throughout the debate were Pravesh Sahib Singh, Minakshi Lekhi and Gautam Gambhir.
Gambhir recently came under heavy AAP fire for missing out on a crucial air pollution meeting to attend a sports engagement. His photo, in which he can be seen eating jalebis, went viral.


Uber loses licence to operate in London - The Nation Newspaper
by https://www.facebook.com/CheerfulpraiseUber has lost its licence to operate private hire vehicles in London after authorities found that more than 14,000 trips were taken with more than 40 drivers who had faked their identity on the Uber app.
Transport for London said on Monday that it would not renew the ride-hailing giant operator’s license, citing a pattern of failures that had placed passenger safety and security at risk.
Transport for London said Uber had made a number of positive changes and improvements to its culture, leadership and systems in the period since the Chief Magistrate granted it a licence in June 2018 but added that a pattern of failures by the company had been identified.
Read Also: ‘Dead’ UBER driver recounts ordeal in suspects’ hand
Recall that in Nigeria’s capital, Abuja, The national Union of e-hailing drivers and partners, an umbrella body for uber drivers, held protests last week where they kicked against the conditions of agreement between its members and Uber and other forms of maltreatment they have had to endure.
The president of the union said the tech company needed to do a better profiling of its clients in order to protect its drivers


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{%load bootstrap4%}
If you are directed to this page this means that your account has incurred a penalty due to prolong habit of not returning books or you have lost a book. To activate your account you can pay the penalty or communicate to the administrator by filling the form below.


What We Do
Whether you are buying your dream home for the first time, looking to purchase an investment property or vacation home we help you get the best financing options that meet your personal borrowing needs.
---
title: Home
description: EVO Example will help you get the home of your dreams.
image: /images/home.jpg
---
This is just secondary or complimentary text.Welcome to evo Copestone
Whether you are buying your dream home for the first time, looking to purchase an investment property or vacation home we help you get the best financing options that meet your personal borrowing needs.
When purchasing a home, time is often of the essence. We offer a number of programs and strategies that can help be the difference between purchasing your dream home or losing it to another bidder. Expedited approval process to get you a pre-approved mortgage and help get you to closing faster Ability to close the deal in home-loans quickly to make your offer the most competitive in multiple-offer situations.


| shfilt.gex - GrADS Extension Library for Spherical Harmonic Filtering |
shfilt.gex - GrADS Extension Library for Spherical Harmonic Filtering
display sh_filt(EXPR,N1[,N2]) - Spherical Harmonic Filter
display sh_power(EXPR) - Spherical Harmonic Power Spectra
run power.gs EXPR N - Plot Spherical Harmonic Power Spectra
This library provides GrADS extensions (gex) with functions for spherical harmonic filtering and calculation of spherical harmonic power spectra. The numerical calculations rely on the excellent Spherepak library by John C. Adams and Paul N. Swarztrauber. Quoting from the Speherepak website:
SPHEREPACK 3.1 is a collection of FORTRAN programs that facilitates computer modeling of geophysical processes. The package contains programs for computing certain common differential operators including divergence, vorticity, gradients, and the Laplacian of both scalar and vector functions. Programs are also available for inverting these operators. For example, given divergence and vorticity, the package can be used to compute the velocity components. The Laplacian can also be inverted and therefore the package can be used to solve both the scalar and vector Poisson equations. Its use in model development is demonstrated by a sample program that solves the time-dependent non-linear shallow-water equations. Accurate solutions are obtained via the spectral method that uses both scalar and vector spherical harmonic transforms that are available to the user. The package also contains utility programs for computing the associated Legendre functions, Gauss points and weights, and multiple fast Fourier transforms. Programs are provided for both equally-spaced and Gauss distributed latitudinal points as well as programs that transfer data between these grids.
The current GrADS extensions only begin to explore the capabilties of Spherepak. The function sh_filt takes a scalar global 2D field on the sphere, expands it in terms of spherical harmonics, and reconstructs it includng only (total) wavenumbers in the range [N1,N2] specified by the user. Additionally, function sh_power returns the power spectra in terms of total waenumbers. This is accomplished by returning a 1D array (fixed longitude, varying latitude) with the spectra as a function of total wavenumber. The GrADS script power.gs is useful to plot this power spectra and should be used in place of the function sh_power().
The example expands the surface pressure field in terms of spherical harmonics and reconstructs it retaining only 10 wavenumber.
open model set gxout shaded d sh_filt(ps,10)
The example expands the surface temperature field in terms of spherical harmonics and plots it as function of the 32 first total numbers.
run power.gs ts 32
This function takes a scalar global 2D field on the sphere, expands it in terms of spherical harmonics, and reconstructs it includng only (total) wavenumbers in the range [N1,N2] specified by the user.
GrADS expressions with scalar expression to be filtered.
When both N1 and N2 are specified, only spherical harmonics with total wavenumber in the range [N1,N2] will be retained. When only N1 is specified, only spherical harmonics with total wavenumber in the range [1,N1] will be retained.
This function returns the power spectra in terms of total waenumbers. This is accomplished by returning a 1D array (fixed longitude, varying latitude) with the spectra as a function of total wavenumber. The GrADS script power.gs is useful to plot this power spectra and should be used in place of the function sh_power().
http://opengrads.org/ - OpenGrADS Home Page
http://cookbooks.opengrads.org/index.php - OpenGrADS Cookbooks
=item *
http://www.scd.ucar.edu/css/software/spherepack - Spherepack Home Page
http://opengrads.org/wiki/index.php - OpenGrADS User Defined Extensions
http://www.iges.org/grads/ - Official GrADS Home Page
Arlindo da Silva<EMAIL_ADDRESS>Copyright (C) 2008-2009 Arlindo da Silva; All Rights Reserved.
This is free software; see the source for copying conditions. There is NO warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
| shfilt.gex - GrADS Extension Library for Spherical Harmonic Filtering |


Bug summary:
App crashes on making a new account
Observed Behavior (a description of what happened with the app):
When trying to create a new account named "Ben's" the app crashed unexpectedly.
Expected Behavior (a description of what you expected to happen):
I expected to be able to create a new account. The app shouldn't have crashed.
Steps to Reproduce (the steps to reproduce the problem):
1. Start the app
2. Tap the Create Accounts button (only Expenses and Income should be checked)
3. Tap the upper most plus symbol on the Accounts tool bar
4. Supply "Ben's" as the Account Name
5. Hit the save button
6. The app will crash
Additional information:
This bug was experienced from a cold start. Using the account name "Bens" works fine, so I suspect the apostrophe may be causing an issue.
Attachments:


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This is a template application for the Ninthdrug webserver. This page runs off a Javascript ajax call to fetch a JSON feed of current tasks. Use the "Create A Task" to enter in a new task.


Tidying Markdown Tables
I’d been a fan of Dr Drang’s table tidy script for Markdown, especially the one he’s recently updated here.
However, he’s a BBEdit user and I don’t use BBEdit. I’m a fairly basic user, and I’ll stick with Textastic, nValt and Byword for my writing (LaTeX and Markdown respectively), so I didn’t think I could use his code.
Turns out I’m wrong.
The Script
Dr Drang seems to write most of his scripts in Python. My Python knowledge is sketchy at best - I could maybe write a Hello World script in Python, but that might be pushing it. In his post he states:
Although I use this in BBEdit, there’s no reason it couldn’t be adapted to other intelligent text editors. It uses standard input and standard output, so it ought to be easy to incorporate into a Sublime Text, TextMate, Vim, or Emacs workflow.
To me, that seemed like a challenge, as I wanted the benefits of the script, but I didn’t want to move to BBEdit - I had a quick look, but I think it wasn’t for me. For a start, it didn’t have the Cobalt theme (and a quick Google wouldn’t find one). However, the tempting nature of having this script run made me want to find a solution.
The key revolved around the fact it was a Python script. If I could pass the data to it, it would run and output as I would expect.
It took me an install of BBEdit to see how it worked in there before I could run it. Initially, I thought the script would run on a file after it was complete and make the change, but it relies on highlighting the text in BBEdit and then running the filter. Once I knew that, I realised I couldn’t run from the command line. Something niggled at the back of my mind though…
Automator + Services
I’d known about OS X services for a while - I know that Day One installs one, allowing you to create a note from any selected text, but I’d never really used them. However, they’re available in any app, so I thought this would hold the key. Turns out I wasn’t wrong.
I had to do a quick Google to find out how to create my own. It turns out services can be created using Automator.
Automator lets you link tasks together to perform them on occasions. These can be run on folders or items, or as it turns out, on selected text.
It’s a simple case of copying the code into a shell script task and selecting it to run in the Python shell. Select the option to receive input as text and to replace the selected text and it’s ready to run.
This then adds the option to run this within the Services menu. You can assign a keyboard shortcut to it using System Preferences, or in my case, I’ve done this using Keyboard Maestro as I only want it in some apps and I can change how it effects each one (and the keyboard shortcut if needed).
Overall, this seems to work well, though I realise it’s not as straight forward or as nice as Dr Drang’s BBEdit solution, but my workflow changes depending on where I am and what app I’m using, so this suits me better.


Dixon UMC is small church with strong roots and a diverse congergation, serving eastern Crawford County and West Bibb. Feel free come vist with us any time!
We invite You
for this Sunday!
You'll be glad you came!
Long history
& a Bright future
No one knows just how long a church has been here. We know it will be here for a long time to come!
focus on what’s important
and make the world little bit better
Traditional Service
9:45am
Come experence our traditional but laid back style of worship. T-shirts and shorts welcome!
Friends and Family
10:30am
A church is a family, and you can't have family without fellowship!. Come join us for food, fun, and friends!
Sunday School
11:00am
A strong foundation in the Bible is important to any Christian. We have classes for everyone with a focus on discussion not lecture.


| Created: | 14/02/2017 5:42:14 |
| Modified: | 14/02/2017 6:26:12 |
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{% extends "base.html" %} {% block bodyContent %} {% if !currentUser %}
It looks like you haven't yet linked your Github account. Press the button below to get started.


--- layout: page title: About header-img: "img/about-bg.png" ---
Recently enrolled as a student at Flatiron School of Coding. Sharing my experiences along the way.


Before Change
with _create_scoped_session(storage.scoped_session) as session:
StudyModel.find_or_raise_by_id(study._study_id, session)
trial_ids = (
session.query(TrialModel.trial_id)
.filter(TrialModel.study_id == study._study_id)
.filter(TrialModel.state.in_((TrialState.COMPLETE,)))
.all()
)
for trial_id_tuple in trial_ids:
heartbeat_model = TrialHeartbeatModel.where_trial_id(trial_id_tuple[0], session)
assert heartbeat_model is not None
trial_heartbeats.append(heartbeat_model.heartbeat)
After Change
trial_heartbeats = []
with _create_scoped_session(storage.scoped_session) as session:
trial_ids = [trial._trial_id for trial in study.trials]
for trial_id in trial_ids:
heartbeat_model = TrialHeartbeatModel.where_trial_id(trial_id, session)
assert heartbeat_model is not None
trial_heartbeats.append(heartbeat_model.heartbeat)


About Me
Felipe Fernández
Some craftsmanship related topics
- BDD
- Outside-in development
- Focus on delivery
- Minimise waste
About the talk
- 1. Cassandra rationale
- 2. Cassandra internals
- 3. Data modeling
1. Cassandra rationale
Cassandra rationale
RDBMS Approach to modern world challenges
Cassandra rationale
ACID Properties
- Atomicity
- Consistency
- Durability
- Consistency
Cassandra rationale
Relational Data Modeling
- Denormalisation
- Referential integrity
- Strong uniqueness
- Indexes
- Joins
- Aggregations
Cassandra rationale
RDBMS Problems
- Scale up
- Sharding
- Availability
- Locality
Cassandra rationale
Cassandra to the rescue
- Distributed peer to peer architecture
- Scale out
- Low latency
- CAP theorem
Cassandra rationale
Right tool for the right job
- Big data
- Higher storage costs
- Change mindset
2. Cassandra internals
Cassandra internals
Distribution internals
- Data is partitioned around the ring
- Coordinator node
- Replication factor
- Consistency level
Cassandra internals
Distribution internals
- Column family
- Keyspace
- Node
- Rack
- Data center
- Cluster
Cassandra internals
Storage internals: Write path
- Commit log
- Memtable
- SSTable
- Compaction
- Tombstones
Cassandra internals
Storage internals: Read path
- Timestamps
- Read from Memtable and SSTables
- Caches
3. Data modeling
Data modeling
Partition
- Partition key
- Clustering key
- Primary key
Data modeling
Anti patterns
- Secondary indexes
- Join tables
- Allow filtering
Data modeling
Conceptual Modeling
- Entity-relationship diagrams
- Chen notation
- Technology agnostic
Data modeling
Logical Modeling
- Query based approach
- Chebotko notation
- Mapping rules and patterns
Data modeling
Physical modeling
- Fleshing out details
- Optimizations
Data modeling
Mindset change
- Data consistency
- Transactions
- Concurrent access


EdCharbeneau/DotnetConfBlazor My resources from Dotnet Conf. Contribute to EdCharbeneau/DotnetConfBlazor development by creating an account on GitHub.
Connecting an LCD to our computer — 6502 part 4 Schematics, datasheets, kits, and more at https://eater.net/6502 Part 1: https://www.youtube.com/watch?v=LnzuMJLZRdU Part 2: https://www.youtube.com/watch?v=yl8vPW5hydQ Part 3: https://www.youtube.com/watch?v=oO8_2JJV0B4 Part 4: This video! Part 5: https...
Compromised Credentials, Customer Satisfaction, and Your Bottom Line - February 12, 2020 - BrightTALK Learn how you can slash online fraud and protect your web and mobile applications from today’s – and tomorrow’s – threats and attacks with essential, up-to-the-minute insights on the latest attack techniques, protection strategies, and application securit...
Hack Yourself First: How to go on the Cyber-Offence - NDC Security 2020 Cyber-attacks have become a reality of running software on the web today. We find ourselves under a constant barrage of malicious activity from hacktivists, online criminals and increasingly, nation states. Successful attacks from these adversaries are pr...
chrissainty/Talks-DotNetConf-01-2020 Slides and demos for my Blazor Routing A-Z talk - .NET Conf: Focus on Blazor (Jan 2020) - chrissainty/Talks-DotNetConf-01-2020
Announcement: SameSite Cookie Handling and .NET Framework 4.7.2 Patch Availability on Azure App Service - Microsoft Q&A (Preview) Microsoft Q&A (Preview) is the best place to get answers to all your technical questions on Microsoft products and services
Analyzing a nullability example · Curiosity is bliss Cezary Piątek posted a good overview of the C# nullable reference types feature. It includes a critique of a code snippet. Examining that snippet is a good way to understand some of the C# LDM’s decisions. In the following, Cezary expects a warning on a ...
Arnhem man arrested for selling 12 billion usernames, passwords on WeLeakInfo site The police arrested a 22-year-old man from Arnhem on Wednesday on suspicion of offering about 12 billion stolen usernames names and passwords for sale on website WeLeakInfo. The arrest was made as part of a joint investigation by the Dutch police, the Uni...
VS 16.5 Tooling Performance · Issue #8255 · dotnet/fsharp This is an overarching issue that we're using to track F# tooling performance in VS up to VS 16.5. I expect these to positively impact other F# editors. Much of this work is actually in the com...
Cyberpunk 2077 Has Been Delayed, But The Devs Will Still Have To Crunch CD Projekt Red confirms it will "crunch" during the final months of development on the PS4, Xbox One, Stadia, and PC game.
Announcement: Consolidating .NET GitHub repos · Issue #13257 · dotnet/runtime Over the next few months, we plan to consolidate several of the foundational repositories of .NET Core, including dotnet/coreclr and dotnet/corefx. .NET’s repository structure on GitHub was initial...
Adding KeyManager spec by saahmedm · Pull Request #1112 · microsoft/PowerToys Summary of the Pull Request This pull request is adding the functional spec for the Keyboard Manager. Changes: Added the KeyManager.md in the spec folder Added the images from the spec in a new fo...
[Fixes #17014] Add an auth-enabled template for Blazor WASM projects … · dotnet/aspnetcore@e64b8a9 …(#18354) * [Fixes #17014] Add an auth-enabled template for Blazor WASM projects * The template enables auth using cookies. * Includes a UserController to return the user claims/data to the user...


Package com.destroystokyo.paper.event.entity
package com.destroystokyo.paper.event.entity
-
ClassDescriptionCalled when a Creeper is ignite flag is changed (armed/disarmed to explode).Fired when a DragonFireball collides with a block/entity and spawns an AreaEffectCloudFired when an EnderDragon spawns an AreaEffectCloud by shooting flamesFired when an EnderDragon shoots a fireballFired when an Enderman determines if it should attack a player or not.Fired any time an entity is being added to the world for any reason.Called when an entity jumpsFired when an Entity is knocked back by the hit of another Entity.Fired when an Entity decides to start moving towards a location.Fired any time an entity is being removed from a world for any reasonFired any time an entity attempts to teleport in an end gatewayDeprecated.Fired when lightning strikes an entityFired anytime the server is about to merge 2 experience orbs into oneCalled when a phantom is spawned for an exhausted playerFired when the server is calculating what chunks to try to spawn monsters in every Monster Spawn Tick eventWARNING: This event only fires for a limited number of cases, and not for every case that CreatureSpawnEvent does.Called before an entity is spawned into a world by a spawner.Called when an projectile collides with an entityEvent called when a player gets close to a skeleton horse and triggers the lightning trapFired when a Slime decides to change it's facing direction.Fired when a Slime decides to start pathfinding.Fired when a Slime decides to start jumping while swimming in water/lava.Fired when a Slime decides to change direction to target a LivingEntity.Fired when a Slime decides to start wandering.Called when a thrown egg might hatch.Fired when a Turtle decides to go homeFired when a Turtle lays eggsFired when a Turtle starts digging to lay eggsFired when a witch consumes the potion in their hand to buff themselves.Fired when a witch throws a potion at a player
EntityTransformEvent
, you should start using that


Server Error in '/Api/Mdm' Application.
The resource cannot be found.
Description: HTTP 404. The resource you are looking for (or one of its dependencies) could have been
removed, had its name changed, or is temporarily unavailable. Please review the following URL and make
sure that it is spelled correctly.


Pragmatic, Reactive State Management for JavaScript Apps
Get Started
{{ npmInstallCmd }}
{{ npmInstallCmd }}
Simple, granular, reactive state, made possible by independent reactive data structures that are based on native data structures, and extend RxJS' Observable.
Features like undo/redo, persistence, immutability and observable events come built in with ActiveJS' reactive data structures.
ActiveJS provides mechanisms that make streamlining and sharing asynchronous data APIs' state effortless.
ActiveJS strives to enhance DX by reducing boilerplate, and limiting the amount of abstract utility concepts.


History
Five very diverse strangers came together for the Microsoft Azure U.S. Hack for Accessibilty hackathon hosted by Devpost and came up with AI Dog.
AI Dog helps a user find an accessible route from point A to point B on campus. We were inspired to make navigating more accessible after we learned first hand how difficult it is to get around campus with a leg injury.
We also shared the concept for the web app with colleagues, friends and co-workers who work in assistance programs in higher ed. They shared some input and confirmed how assisting those with a disability navigating a campus could be very useful.
How does it Work?
AI Dog collects geo location data on campus using the Google Streetview API which we then pass to the Azure Computer Vision API to analyze the returned Google Streetview API images to determine if the location is accessible or not.
Some things we look for in the analyzed images may be sidewalks, crosswalks, ramps, lack of stairs, etc.
We store the results of our campus evaluation in an Azure Cosmos database for use in our web app.
The AI Dog interface is an accessible website where a user can easily find an accessible route to where they need to go on campus.
By choosing the campus they are on, and entering their current and destination location they will get accessible directions. Upon hitting the submit button a request is made to an Azure Function API we developed to analyze the info stored in our Azure Cosmos database and return an accessible route to the user.
Whats Next?
Things we’d like to improve upon in future releases of AI Dog would be the inclusion of more college campuses as well as improving the efficiencies of our backend and Azure Function API.


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eam leader training and evaluating different machine learning models to predict if someone will have a stroke based on medical features (BMI, age, average glucose level etc.) using Python, Scikit-Learn, and Pandas
Team leader creating a database representing NFL players' statistics and salaries using Microsoft SQL Server Management Studio
Presented database with Java front end where users have set permissions, can search for certain players,order information by increasing or decreasing order, and edit player information
Data Mining Project
Applied data mining methods using Jupyter Notebook and Pandas to clean and analyze a dataset about baseball and softball player performance
Presented findings on a Firebase hosted website with dynamic data visualizations utilizing JavaScript and Danfo.js in a group of five


Note: This blog article is borrowed from kevin frans blog · Variational Autoencoders Explained.
In my previous post about generative adversarial networks, I went over a simple method to training a network that could generate realistic-looking images.
However, there were a couple of downsides to using a plain GAN.
 If you wanted to generate a picture with specific features, there’s no way of determining which initial noise values would produce that picture, other than searching over the entire distribution.
Second, a generative adversarial model only discriminates between “real” and “fake” images. There’s no constraints that an image of a cat has to look like a cat. This leads to results where there’s no actual object in a generated image, but the style just looks like picture.
In this post, I’ll go over the variational autoencoder, a type of network that solves these two problems.
What is a variational autoencoder?
To get an understanding of a VAE, we’ll first start from a simple network and add parts step by step.
An common way of describing a neural network is an approximation of some function we wish to model. However, they can also be thought of as a data structure that holds information.
Let’s say we had a network comprised of a few deconvolution layers. We set the input to always be a vector of ones. Then, we can train the network to reduce the mean squared error between itself and one target image. The “data” for that image is now contained within the network’s parameters.
Now, let’s try it on multiple images. Instead of a vector of ones, we’ll use a one-hot vector for the input. [1, 0, 0, 0]
could mean a cat image, while [0, 1, 0, 0]
could mean a dog. This works, but we can only store up to 4 images. Using a longer vector means adding in more and more parameters so the network can memorize the different images.
To fix this, we use a vector of real numbers instead of a one-hot vector. We can think of this as a code for an image, which is where the terms encode/decode come from. For example, [3.3, 4.5, 2.1, 9.8]
could represent the cat image, while [3.4, 2.1, 6.7, 4.2]
could represent the dog. This initial vector is known as our latent variables.
Choosing the latent variables randomly, like I did above, is obviously a bad idea. In an autoencoder, we add in another component that takes in the original images and encodes them into vectors for us. The deconvolutional layers then “decode” the vectors back to the original images. We’ve finally reached a stage where our model has some hint of a practical use. We can train our network on as many images as we want. If we save the encoded vector of an image, we can reconstruct it later by passing it into the decoder portion. What we have is the standard autoencoder.
However, we’re trying to build a generative model here, not just a fuzzy data structure that can “memorize” images. We can’t generate anything yet, since we don’t know how to create latent vectors other than encoding them from images.
There’s a simple solution here. We add a constraint on the encoding network, that forces it to generate latent vectors that roughly follow a unit gaussian distribution. It is this constraint that separates a variational autoencoder from a standard one.
Generating new images is now easy: all we need to do is sample a latent vector from the unit gaussian and pass it into the decoder.
In practice, there’s a tradeoff between how accurate our network can be and how close its latent variables can match the unit gaussian distribution.
We let the network decide this itself. For our loss term, we sum up two separate losses: the generative loss, which is a mean squared error that measures how accurately the network reconstructed the images, and a latent loss, which is the KL divergence that measures how closely the latent variables match a unit gaussian.
generation_loss = mean(square(generated_image - real_image))
latent_loss = KL-Divergence(latent_variable, unit_gaussian)
loss = generation_loss + latent_loss
In order to optimize the KL divergence, we need to apply a simple reparameterization trick: instead of the encoder generating a vector of real values, it will generate a vector of means and a vector of standard deviations. This lets us calculate KL divergence as follows:
# z_mean and z_stddev are two vectors generated by encoder network
latent_loss = 0.5 * tf.reduce_sum(tf.square(z_mean) + tf.square(z_stddev) - tf.log(tf.square(z_stddev)) - 1,1)
When we’re calculating loss for the decoder network, we can just sample from the standard deviations and add the mean, and use that as our latent vector:
samples = tf.random_normal([batchsize,n_z],0,1,dtype=tf.float32)
sampled_z = z_mean + (z_stddev * samples)
In addition to allowing us to generate random latent variables, this constraint also improves the generalization of our network.
To visualize this, we can think of the latent variable as a transfer of data.
Let’s say you were given a bunch of pairs of real numbers between [0, 10]
, along with a name. For example, 5.43
means apple, and 5.44
means banana. When someone gives you the number 5.43
, you know for sure they are talking about an apple. We can essentially encode infinite information this way, since there’s no limit on how many different real numbers we can have between [0, 10]
.
However, what if there was a gaussian noise of one added every time someone tried to tell you a number? Now when you receive the number 5.43
, the original number could have been anywhere around [4.4 ~ 6.4]
, so the other person could just as well have meant banana (5.44
).
The greater standard deviation on the noise added, the less information we can pass using that one variable.
Now we can apply this same logic to the latent variable passed between the encoder and decoder. The more efficiently we can encode the original image, the higher we can raise the standard deviation on our gaussian until it reaches one.
This constraint forces the encoder to be very efficient, creating information-rich latent variables. This improves generalization, so latent variables that we either randomly generated, or we got from encoding non-training images, will produce a nicer result when decoded.
How well does it work?
I ran a few tests to see how well a variational autoencoder would work on the MNIST handwriting dataset.
left: 1st epoch, middle: 9th epoch, right: original
Looking good! After only 15 minutes on my laptop w/o a GPU, it’s producing some nice results on MNIST.
Here’s something convenient about VAEs. Since they follow an encoding-decoding scheme, we can compare generated images directly to the originals, which is not possible when using a GAN.
A downside to the VAE is that it uses direct mean squared error instead of an adversarial network, so the network tends to produce more blurry images.
There’s been some work looking into combining the VAE and the GAN: Using the same encoder-decoder setup, but using an adversarial network as a metric for training the decoder. Check out this paper or this blog post for more on that.
You can get the code for this post on kvfrans’ Github. It’s a cleaned up version of the code from this post.


fgets
, fgets_unlocked
—get character string from a file or stream#include <stdio.h> char *fgets(char *restrict buf, int n, FILE *restrict fp); #define _GNU_SOURCE #include <stdio.h> char *fgets_unlocked(char *restrict buf, int n, FILE *restrict fp); #include <stdio.h> char *_fgets_r(struct _reent *ptr, char *restrict buf, int n, FILE *restrict fp); #include <stdio.h> char *_fgets_unlocked_r(struct _reent *ptr, char *restrict buf, int n, FILE *restrict fp);
Description
Reads at most n-1 characters from fp until a newline
is found. The characters including to the newline are stored
in buf. The buffer is terminated with a 0.
fgets_unlocked
is a non-thread-safe version of fgets
.
fgets_unlocked
may only safely be used within a scope
protected by flockfile() (or ftrylockfile()) and funlockfile(). This
function may safely be used in a multi-threaded program if and only
if they are called while the invoking thread owns the (FILE *)
object, as is the case after a successful call to the flockfile() or
ftrylockfile() functions. If threads are disabled, then
fgets_unlocked
is equivalent to fgets
.
The functions _fgets_r
and _fgets_unlocked_r
are simply
reentrant versions that are passed the additional reentrant structure
pointer argument: ptr.
Returns
fgets
returns the buffer passed to it, with the data
filled in. If end of file occurs with some data already
accumulated, the data is returned with no other indication. If
no data are read, NULL is returned instead.
Portability
fgets
should replace all uses of gets
. Note however
that fgets
returns all of the data, while gets
removes
the trailing newline (with no indication that it has done so.)
fgets_unlocked
is a GNU extension.
Supporting OS subroutines required: close
, fstat
, isatty
,
lseek
, read
, sbrk
, write
.


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