Compute the dynamic threshold panel model suggested by (Stephanie Kremer, Alexander Bick and Dieter Nautz (2013) <doi:10.1007/s00181-012-0553-9>) in which they extended the (Hansen (1999) <doi:10.1016/S0304-4076(99)00025-1>) original static panel threshold estimation and the Caner and (Hansen (2004) <doi:10.1017/S0266466604205011>) cross-sectional instrumental variable threshold model, where generalized methods of moments type estimators are used.
| Version: | 0.1.0 |
| Imports: | stats, Formula, gtools, plyr |
| Published: | 2018-05-14 |
| Author: | Taha Zaghdoudi |
| Maintainer: | Taha Zaghdoudi <zedtaha at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | dtp results |
| Reference manual: | dtp.pdf |
| Package source: | dtp_0.1.0.tar.gz |
| Windows binaries: | r-devel: dtp_0.1.0.zip, r-release: dtp_0.1.0.zip, r-oldrel: dtp_0.1.0.zip |
| OS X binaries: | r-release: dtp_0.1.0.tgz, r-oldrel: dtp_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=dtp to link to this page.


% if(addTouchIcons){ %> <% } /*end of IF addTouchIcons*/ %> <% if(iconsMoon){ %> <% } if(iconsAwesome){ %> <% } %>
To get going, this file (index.html) includes some basic styles you can modify, play around with, or totally destroy to get going.
Once you've exhausted the fun in this document, you should check out:
Foundation Documentation
Everything you need to know about using the framework.
Foundation on Github
Latest code, issue reports, feature requests and more.
@foundationzurb
Ping us on Twitter if you have questions. If you build something with this we'd love to see it (and send you a totally boss sticker).
This is a twelve column section in a row. Each of these includes a div.panel element so you can see where the columns are - it's not required at all for the grid.
Six columns
Six columns
Four columns
Four columns
Four columns
Simple Button
Radius Button
Round Button
Success Btn
Alert Btn
Secondary Btn
A whole kitchen sink of goodies comes with Foundation. Checkout the docs to see them all, along with details on making them your own.
Go to Foundation Docs


Nookie
⛪
Church
« You get the blame and I get the blame. »
@yayavotu
-Sublime Pope
@Soil
-Major Archbishop
@Mayalabielle
-Great Evangelist
@Siphrodias
-Highway Patriarch
@Guigui
-Starfish Bishop
@Zbrlah
-Neolord Cardinal
@demz
-Rollin' Monk
@mitch_doom
-Apostolic Nookie Syndic
Public And Known Ennemies : @batmadd, @Le Cui-Cui


Did you know many states allow 17 year olds to vote in the primaries? 22 states now allow citizens who will be 18 years old on or before a general election to vote in their party’s corresponding primary or caucus. Look up your state to find its policy on early voters.
Find my StateMany young people cite feeling as though their vote doesn’t count, among millions of others, as their reason for not participating in elections. However much it may feel like this, it simply isn’t the case. Obama’s popularity with youth voters may have been one of the key factors that helped him to win the 2008 election, giving him a large margin over competitors in a number of key states. In recent years, many elections have come down to a few hundred votes, and the election debacle in 2000 is not to be forgotten anytime soon. You vote does matter, maybe more than you realize.
Participating in politics is a hard-won right in our nation, but it’s one that Americans of all ages don’t freely exercise as often as they should. Building a relationship with the political process early on is key to making it a lifelong habit. If you’ve always voted in elections, you’ll be much less likely to skip a vote in the future. This sort of habit-forming participation is key if we’re to create laws and elect leaders who represent the needs of both young and old alike in our country.
While young people make up a large portion of voters, they’re much less likely than those who are older to get out and vote. In the 2004 elections, 70% of those between 45 and 59 voted, 73% of those between 60 and 74, and 69% of those 75 and older. It’s not hard to guess that the needs, desires, and beliefs of those generations might be pretty different than young people’s, and the significantly higher numbers of older Americans who come out to vote may be skewing presidential choices and legislation away from the needs of young voters. If young voters want candidates to cater to their needs, they need to get out and vote.


--- layout: post status: publish published: true title: Chase Field Tour author: display_name: Kurt login: Kurt email<EMAIL_ADDRESS>url: '' author_login: Kurt author_email<EMAIL_ADDRESS>excerpt: "[caption id=\"attachment_4394\" align=\"alignleft\" width=\"300\" caption=\"Brian shows us around\"][/caption]\r\n\r\nChase field offers public tours nearly every day. We stopped by to visit Brian, a New York transplant, who gave us the all access tour of Chase Field, home of the Arizona Diamondbacks. To hear to complete story listen to the most recent Podcast 3.10. To see the rest of the photos click \"read more\".\r\n\r\n" wordpress_id: 4390 wordpress_url: http://ivyenvy.com/?p=4390 date: '2011-03-23 00:50:36 +0000' date_gmt: '2011-03-23 05:50:36 +0000' categories: - General Baseball - Spring Training tags: - arizona diamondbacks - Chase Field - Chase Field Tour comments: [] ---
[caption id="attachment_4394" align="alignleft" width="300" caption="Brian shows us around"][/caption]
Chase field offers public tours nearly every day. We stopped by to visit Brian, a New York transplant, who gave us the all access tour of Chase Field, home of the Arizona Diamondbacks. To hear to complete story listen to the most recent Podcast 3.10. To see the rest of the photos click "read more".


--- layout: page ---
Below are many of the rich architecture highlights found in the Saint Mary-of-the-Woods Historic District.
{{ location.year }}


| Number of Classes | Line Coverage | Mutation Coverage |
|---|---|---|
| 3 | 89% | 54% |
| Name | Line Coverage | Mutation Coverage |
|---|---|---|
| DefaultOvhSmsConfigurer.java | 95% |
20% |
| OvhOptionsBuilder.java | 83% |
47% |
| OvhSmsBuilder.java | 89% |
63% |


Keywords¶
-
class
Keywords.
Keywords
¶ -
ORIGIN
¶ A ProcessingMechanism that is the first mechanism of a process and/or system, and that receives the input to the process or system when it is executed or run. A process may have only one
ORIGIN
mechanism, but a system may have many. Note that theORIGIN
mechanism of a process is not necessarily anORIGIN
of the system to which it belongs, as it may receive projections from other processes in the system. TheORIGIN
mechanisms of a process or system are listed in itsoriginMechanisms
attribute, and can be displayed using itsshow
method. For additional details aboutORIGIN
mechanisms in processes, see Process Mechanisms and Process Input and Output; and for systems see System Mechanisms and System Input and Initialization.
-
INTERNAL
¶ A ProcessingMechanism that is not designated as having any other status.
-
CYCLE
¶ A ProcessingMechanism that is not an
ORIGIN
mechanism, and receives a projection that closes a recurrent loop in a process and/or system. If it is anORIGIN
mechanism, then it is simply designated as such (since it will be assigned input and therefore be initialized in any event).
-
INITIALIZE_CYCLE
¶ A ProcessingMechanism that is the
sender
of a projection that closes a loop in a process or system, and that is not anORIGIN
mechanism (since in that case it will be initialized in any event). Aninitial value
can be assigned to such mechanisms, that will be used to initialize the process or system when it is first run. For additional information, see Run, System Mechanisms and System Input and Initialization.
-
TERMINAL
¶ A ProcessingMechanism that is the last mechanism of a process and/or system, and that provides the output to the process or system when it is executed or run. A process may have only one
TERMINAL
mechanism, but a system may have many. Note that theTERMINAL
mechanism of a process is not necessarily aTERMINAL
mechanism of the system to which it belongs, as it may send projections to other processes in the system. TheTERMINAL
mechanisms of a process or system are listed in itsterminalMechanisms
attribute, and can be displayed using itsshow
method. For additional details aboutTERMINAL
mechanisms in processes, see Mechanisms and Process input and output; and for systems see Mechanisms.
-
SINGLETON
¶ A Processing Mechanisms that is the only mechanism in a process and/or system. It can serve the functions of an
ORIGIN
and/or aTERMINAL
mechanism.
-
MONITORING
¶ A
MonitoringMechanism
configured for learning that is not aTARGET
; that is, it is associated with anINTERNAL
rather than aTERMINAL
ProcessingMechanism in the process and/or system to which it belongs. Forbackpropagation
learning, it is aWeightedErrorMechanism
. See `MonitoringMechanisms <LearningProjection_MonitoringMechanism> for additional details.
-
TARGET
¶ A
ComparatorMechanism
of a process and/or system configured for learning that receives a target value from itsexecute
orrun
method. It must be associated with theTERMINAL
mechanism of the process or system. TheTARGET
mechanisms of a process or system are listed in itstargetMechanisms
attribute, and can be displayed using itsshow
method. For additional details, seeTARGET mechanisms
and specifying target values.
-
-
class
Keywords.
MatrixKeywords
¶ -
IDENTITY_MATRIX
¶ a square matrix of 1’s; this requires that the length of the sender and receiver values are the same.
-
FULL_CONNECTIVITY_MATRIX
¶ a matrix that has a number of rows equal to the length of the sender’s value, and a number of columns equal to the length of the receiver’s value, all the elements of which are 1’s.
-
RANDOM_CONNECTIVITY_MATRIX
¶ a matrix that has a number of rows equal to the length of the sender’s value, and a number of columns equal to the length of the receiver’s value, all the elements of which are filled with random values uniformly distributed between 0 and 1.
-
AUTO_ASSIGN_MATRIX
¶ if the sender and receiver are of equal length, an
IDENTITY_MATRIX
is assigned; otherwise, aFULL_CONNECTIVITY_MATRIX
is assigned.
-
DEFAULT_MATRIX
¶ used if no matrix specification is provided in the constructor; it presently assigns an
IDENTITY_MATRIX
.
-


Returns the promise as a result of your function. Don't return any other results from the function.
Your current function should be void
and shouldn't return anything else. E.g.
export function callMetaNear(): void {
let itemArgs: AddItemArgs = {
accountId: "alice.near",
itemId: "Sword +9000",
};
let promise = ContractPromise.create(
"metanear",
"addItem",
itemArgs,
0,
0,
);
promise.returnAsResult();
}
Now when you call callMetaNear
method, it creates new promise to metanear
contract.
And saying that the result of the current execution depends on the result addItem
.
Even though this contract is not going to be called with a callback, the contract which
calling callMetaNear
would receive the result from addItem
. This call essentially acts
as a proxy.
You can also attach a callback on top of the promise before returning it, e.g.
...
let promise = ContractPromise.create(
...
);
// Setting up args for the callback
let requestArgs: OnItemAddedArgs = {
"itemAddedRequestId": "UNIQUE_REQUEST_ID",
};
let callbackPromise = promise.then(
"_onItemAdded",
requestArgs,
2, // Attaching 2 additional requests, in case we need to do another call
);
callbackPromise.returnAsResult();
}
Creating a callback for the AsyncCall Promise created with create
method.
Name of your contract.
Method name on your contract to be called to receive the callback.
NOTE: Your callback method name can start with _
, which would prevent other
contracts from calling it directly. Only callbacks can call methods with _
prefix.
Arguments object on your callback method, see create
for details.
The amount of gas attached to the call.
The amount of tokens from the called contract to be sent to the current contract with this call.
Creates a new async call promise. Returns an instance of ContractPromise
.
The call would be scheduled if the this current execution of the contract succeeds
without errors or failed asserts.
Account ID of the remote contract to call. E.g. metanear
.
Method name on the remote contract to call. E.g. addItem
.
Arguments object to pass into the method. To get them create a new model
specific for the method you calling, e.g. AddItemArgs
. Then create an instance of it
and populate arguments. After this, serialize it into bytes. E.g.
let itemArgs: AddItemArgs = { accountId: "alice.near", itemId: "Sword +9000", }; ContractPromise.create("metanear", "addItem", itemArgs, 100)
The amount of gas attached to the call
The amount of tokens from your contract to be sent to the remote contract with this call.
Method to receive async (one or multiple) results from the remote contract in the callback. Example of using it.
// This function is prefixed with `_`, so other contracts or people can't call it directly.
export function _onItemAdded(itemAddedRequestId: string): bool {
// Get all results
let results = ContractPromise.getResults();
let addItemResult = results[0];
// Verifying the remote contract call succeeded.
if (addItemResult.success) {
// Decoding data from the bytes buffer into the local object.
let data = AddItemResult.decode(addItemResult.buffer);
if (data.itemPower > 9000) {
return true;
}
}
return false;
}
An array of results based on the number of promises the callback was created on.
If the callback using then
was scheduled only on one result, then one result will be returned.
Generated using TypeDoc
Class to make asynchronous calls to other contracts and receive callbacks. Here is an example on how to create a new async call with the callback.
export function callMetaNear(): void { let itemArgs: AddItemArgs = { accountId: "alice.near", itemId: "Sword +9000",s }; let promise = ContractPromise.create( "metanear", "addItem", itemArgs.encode(), 0, ); // Setting up args for the callback let requestArgs: OnItemAddedArgs = { "itemAddedRequestId": "UNIQUE_REQUEST_ID", }; let callbackPromise = promise.then( "_onItemAdded", requestArgs.encode(), 2, // Attaching 2 additional requests, in case we need to do another call ); callbackPromise.returnAsResult(); }
See docs on used methods for more details.


Players
Though optional, it helps to start thinking about the player type first.
The base Player
class looks like this:
public class Player
{
public Player(IUser user, IMessageChannel channel);
public IUser User { get; }
public async Task<IUserMessage> SendMessageAsync(string text, Embed embed = null);
protected virtual bool ShouldKick(int backstuffedDms);
}
There's very little state held in the base class. So if you want to implement, for example a card game,
it would make sense that a player would need a property to contain the cards he or she has in their hand.
In order to do this, create a class that derives from Player
and add such properties/methods.
public class CardPlayer : Player
{
// It would make a lot of sense to keep a property
// like this private.
// You'll also have to provide your own 'Card' type for this.
private Hand<Card> Hand { get; } = new Hand<Card>();
// You need a constructor to call the base constructor.
public CardPlayer(IUser user, IMessageChannel channel)
: base(user, channel)
{
}
// And you'll want a method that adds a card to the player's hand.
public void AddCard(Card card) => Hand.Add(card);
// You can specify to kick automatically kick a player
// if the user has their DMs disabled too many times
// by overriding 'ShouldKick'. By default, a player
// will never be auto-kicked.
protected override bool ShouldKick(int backstuffedDms) => backstuffedDms > 5;
}


Maybe this site doesn't follow the latest trends and maybe it contains bug (yes it does :)) but the main purpose is not to use any library or framework so I will write everything by myself. There are a few scripts what I made by tutorials then I always try to add references.
I think everyone can put together libraries and use it, sadly too many dev do that without thinking and if they don't understand something in that framework then it is crap and wrong and the other framework is so much better.
I use libraries and frameworks of course but in this specific project I will not at all and I plan to have all the famous tools replaced.
It feels like that this is my 1000th introduction. Actually it is :) I started the whole webdev craziness since 1998, actually worked as a freelancer since then for a few years then I worked in Hungary for companies like Docler Holding.
I also got some experience in the UK working on websites like foyles.co.uk or tennis.tv and aljazeera.tv
(I don't link the sites, old projects changed a lot since I worked there)
Now I am in Norway with an awesome team at SendRegning :)
Mainly I work as a front-end dev, with JavaScript and CSS/HTML but when I can I code some shell script for Linux/Mac or playing with Ruby.
I had many many many blogs before but I failed because I always wanted to have the best articles and I got disappointed by no one seeing them. But not this time I post about everything nerd and geek for myself as a future knowledge/thought base. If you like it as well I am happy and please feel free to comment.


The News Update
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How do you contribute to open source? In this video, I'll describe the easiest way to make a simple contribution to an open source project -- without using the command line, a text editor, "forking a repo", or even touching Git outside of Github.
2 Comments
We’ve got the curriculum, all you need is the motivation to start reading it.
Unlike all the HTML elements we’ve encountered so far, image content is defined outside of the web page that renders it. Fortunately for us, we already have a way to refer to external resources from within an HTML document: absolute, relative, and root-relative URLs.
They’re visible to the user, which means you should put in as much effort into naming your files as you put into creating the content they contain.
Notice how there’s a direct connection between our file/folder names and the URL for the web page they represent. The names of our folders and files determine the slugs for our web pages.
These naming conventions apply to all of the files in your site—not just HTML files. CSS files, JavaScript files, and images should avoid spaces and have consistent capitalization, too.


OpenStreetMap
and
You
Follow Along At
http://tinyurl.com
/vamlis-osm
The
free
and seamless world map
Owned By
Volunteers
Strengthened By The
Community
Nodes =
Points
Ways =
Lines
Areas =
Polygons
Relationships
Routing
Lots Of
Attributes
Roads, highways, bridges, tunnels, Bus stops, bus routes, bike routes, railways, shops, restaurants, bars, schools, churches, houses, Parks, lakes, mountains, trees, Airports, power networks, mailboxes, boundaries
Check The Wiki
OSM
Is Everywhere!
Let's Get This
Party Started!!
iD
2 Simple Steps
---Sign Up
------Start Editing
Walkthrough
Start Local
Save
Your Edits &
Save
Often
Feature / Map / Image
services as
custom backgrounds
in iD
GPS
Bulk
IMPORTS
☑ Gotta Want It
☑ Friends
☑ Follow The
Rules
Start
Here ↓↓↓↓↓↓↓↓↓↓
wiki.openstreetmap.org
/wiki/Import/Guidelines
PDX
is a great example too ↓↓↓↓↓↓↓↓↓↓
github.com/
pdxosgeo/pdxbldgimport
Get Involved & Get
Help
#maptime
hrva
dc
Code For AMERICA
HRVA
RVA
NRV
Thanks!
@jonahadkins


Provides functions to generate response-surface designs, fit first- and second-order response-surface models, make surface plots, obtain the path of steepest ascent, and do canonical analysis. A good reference on these methods is Chapter 10 of Wu, C-F J and Hamada, M (2009) "Experiments: Planning, Analysis, and Parameter Design Optimization" ISBN 978-0-471-69946-0.
| Version: | 2.10 |
| Imports: | estimability |
| Suggests: | emmeans, Vdgraph, conf.design, DoE.base, FrF2 |
| Published: | 2018-09-02 |
| Author: | Russell Lenth [aut, cre] |
| Maintainer: | Russell Lenth <russell-lenth at uiowa.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Citation: | rsm citation info |
| Materials: | NEWS |
| In views: | ExperimentalDesign |
| CRAN checks: | rsm results |
| Reference manual: | rsm.pdf |
| Vignettes: |
Response-Surface Illustration Response-Surface Methods in R, Using rsm |
| Package source: | rsm_2.10.tar.gz |
| Windows binaries: | r-devel: rsm_2.10.zip, r-release: rsm_2.10.zip, r-oldrel: rsm_2.10.zip |
| OS X binaries: | r-release: rsm_2.10.tgz, r-oldrel: rsm_2.10.tgz |
| Old sources: | rsm archive |
| Reverse depends: | DoE.wrapper |
| Reverse imports: | HoRM, mclcar, OptimaRegion, rsurface, siRSM, SPOT |
| Reverse suggests: | emmeans, mistat, mlr, vdg |
Please use the canonical form https://CRAN.R-project.org/package=rsm to link to this page.


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Sharetheneeds
Dashboard
Home
Dashboard
No. Of Volunteers
{{no_of_volu}}
No. Of Users
{{no_of_user}}
Resources Provided
Inventory
Volunteers in diffrent State
Volunteers to Users


{% extends "base.html" %} {% block title %}Add A Website to FormLegend{% endblock title %} {% block content %}
Please correct the following errors:


|
AZX (AppZone eXtensions) documentation
1.1.9-CxL
A set of companion utilities that make AZ development easier
|
Functions that can be used to configure HTTP client parameters. More...
Data Structures | |
| struct | azx_httpCallbackOptions |
| The HTTP callback options structure. More... | |
| struct | AZX_HTTPS_OPTIONS |
| The HTTP configuration options. More... | |
Typedefs | |
| typedef enum _AZX_HTTP_METHOD | AZX_HTTP_METHOD |
| HTTP Supported methods. | |
| typedef enum _HTTP_AUTH_SCHEMA | AZX_HTTP_AUTH_SCHEMA |
| HTTP Supported authentication methods. | |
| typedef INT32(* | AZX_HTTPS_USER_CB) (void *, UINT32, INT8 *) |
| User callback prototype. More... | |
| typedef void(* | user_base64_encode) (UINT8 *out, const UINT8 *in, int inlen) |
| User base 64 encoder function prototype. More... | |
| typedef int(* | azx_httpDebugHook) (AZX_HTTP_LOG_HOOK_LEVELS_E level, const char *function, const char *file, int line, const char *fmt,...) |
| Debug callback that is called by the library to for debug purposes. More... | |
Enumerations | |
| enum | _AZX_HTTP_METHOD { AZX_HTTP_GET = 0, AZX_HTTP_POST, AZX_HTTP_HEAD } |
| HTTP Supported methods. More... | |
| enum | _HTTP_AUTH_SCHEMA { azx_AuthSchemaNone = 0, azx_AuthSchemaBasic, azx_AuthNotSupported } |
| HTTP Supported authentication methods. More... | |
| enum | AZX_HTTP_LOG_HOOK_LEVELS_E { AZX_HTTP_LOG_NONE = 0, AZX_HTTP_LOG_ERROR = 1, AZX_HTTP_LOG_INFO = 2, AZX_HTTP_LOG_DEBUG = 3 } |
| HTTP Log global level. More... | |
Functions | |
| int | azx_http_SSLInit (AZX_HTTP_SSL *sslInfo) |
| Initialize SSL data. More... | |
| void | azx_http_initialize (AZX_HTTP_OPTIONS *opts) |
| Initialize HTTPs client parameters. More... | |
| void | azx_http_setCB (AZX_HTTP_INFO *hi, azx_httpCallbackOptions http_cb) |
| Sets user callback. More... | |
Functions that can be used to configure HTTP client parameters.
| typedef int( * azx_httpDebugHook) (AZX_HTTP_LOG_HOOK_LEVELS_E level, const char *function, const char *file, int line, const char *fmt,...) |
Debug callback that is called by the library to for debug purposes.
This function prototype can be registered by the user with the httpInit call. It is user's responsibility to define the logic of all debug levels (see HTTP_LOG_HOOK_LEVELS_E enum above ) and how they are printed.
| [in] | level | Debug level, see HTTP_DEBUG_HOOK_LEVELS |
| [in] | function | This indicates the function name where the debug print is occurring |
| [in] | file | This indicates the .c file name where the debug print is occurring |
| [in] | line | This indicates the .c file line number where the debug print is occurring |
| [in] | fmt | format string (as in printf). It contains the log message to be printed, plus possible additional parameters, to be used with va_list. |
Refer to azx_http_initialize()
Sample usage
| typedef INT32( * AZX_HTTPS_USER_CB) (void *, UINT32, INT8 *) |
User callback prototype.
This is the function signature (user must define one and pass it to will be called by the client to allow user receive and manage incoming data.
| [in] | Incoming | data buffer |
| [in] | Incoming | data length |
| [in,out] | the | Event Flag pointer. It can be used to force the HTTP client to stop current operation. |
Refer to azx_https_set_CB() azx_httpCallbackOptions
| typedef void(* user_base64_encode) (UINT8 *out, const UINT8 *in, int inlen) |
User base 64 encoder function prototype.
This is the function signature (user must define one and pass it to the https_init if basic authentication is required
| [out] | output | allocated buffer that will contain the encoded credentials string |
| [in] | input | Input credentials |
| [in] | inputLen | the length in bytes of the input buffer |
Refer to azx_https_get()
| enum _AZX_HTTP_METHOD |
| enum _HTTP_AUTH_SCHEMA |
| void azx_http_initialize | ( | AZX_HTTP_OPTIONS * | opts | ) |
Initialize HTTPs client parameters.
Initialize HTTPs parameters such CID, log function, log level
| [in] | opts | HTTPS_OPTIONS struct that will contain Context ID to be used, log function hook, log level |
Sample usage
| void azx_http_setCB | ( | AZX_HTTP_INFO * | hi, |
| azx_httpCallbackOptions | http_cb | ||
| ) |
Sets user callback.
This function will set the user callback options
| [out] | hi | AZX_HTTP_INFO struct used to store the retrieved metadata from the header |
| [in] | http_cb | the callback options |
Refer to azx_httpCallbackOptions
Sample usage
| int azx_http_SSLInit | ( | AZX_HTTP_SSL * | sslInfo | ) |
Initialize SSL data.
Initialize SSL context and load the client/CA certificates according to the authentication method
| [in] | sslInfo | HTTP_SSL struct will contain certificate and context |
| [in] | authType | ssl authentication type (None, Client, Client and Server) |
Refer to AZX_HTTP_SSL
Sample usage


This is a project by Andres and Justin. We are attempting to make a VR headset using a project guide we found on GitHub. This is mainly composed of 3D parts and ones we bought from Amazon. Hopefully for our initial teachback we will have our first model done and working. We would love to later on make controllers for our VR headset.
The GitHub link is:
-https://github.com/relativty/Relativ
The 3D models link is:
-https://www.thingiverse.com/thing:3704685
As of December 11th we have almost all the parts printed except for the large ones due to the 3D printer breaking. We isolated the problem as the heat block was broken, but noticed that it wouldn't be worth fixing as of now. In addition we got scammed on Amazon, but have bought a new screen which should be coming soon.


---
name: this-weeks-emacs-commands
layout: post
title: This Week's Emacs Commands
tags: emacs
category: Emacs
---
If you've ever played keywiz on Emacs: "M-x keywiz", you were probably eating humble-hacker-pie by the end of the game. (For the uninitiated, keywiz is a game in emacs that's asks 10 random questions about key-bindings for some times obscure emacs commands.) So far my top score is 4 (out of 10).
So what is a novice to do? I've decided to write commands I want to learn on sticky notes on my monitor until I memorize them.
So, without further ado, here's this weeks list of new commands:
M-g g
goto line. This command will ask for a line number and take you there in the current file.
C-x v=
vc-diff. This command will show a diff between current file and HEAD in whatever Version Control System you are using.
C-x vv
vc-next-action. This command will perform the next appropriate VCS command, such as add current file to staging, or commit.
C-M-\
indent-region. If there is a defined region, this command will indent it.
C-M-;
comment-region. If there is a defined region, this command will comment the region out. (or uncomment a commented out region.)
A note: to define a region. Do a C-[spc] at the beginning of the region and then move to the end of the region however you'd like (arrow keys, C-n, C-f, C-v). If you can't see the regions add the following to your .emacs file: (transient-mark-mode 1).
Second note, in the above key combination, capital C, means hold the Ctrl key, capital M, means hold the Alt key. If there are dashes between letters: type them together (or with C or M hold the Ctrl or Alt key while typing the other key. So with M-g g: Hold Alt while typing g, let go and then type g again.)
Now off to work on a new version of keywiz, perhaps keywiz-jr!


Atrix Lapdock Other Uses¶
I bought the Atrix Lapdock since I couldn’t find any sub $100 portable HDMI displays. The only affordable displays I could find were USB only. With the Atrix Lapdock and some adapters, I was able to use it as a portable display for several devices, which is great for traveling.
It’s a good idea to remove the plate on the docking area (underneath where the phone would be). It makes it easier to plug in the adapters or have to sand/shave them less. You can easily pull it off with your finger nails (the plate actually has a couple of magnets to keep it in place, and two small plastic clips).
Pictures and Videos¶
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With a Nexus 4¶
Works with the Nexus 4 just fine, appears to maintain aspect ratio. Adapters used:
- HDMI Male to Micro HDMI Female
- Micro USB B Male to Female
- SlimPort SP1002 (HDMI)
- HDMI Port Saver (Male to Female) 90 Degree
Using USB OTG¶
Using a modified kernel with OTG_USER_CONTROL set, I was able to get the Lapdock’s keyboard, mouse, and USB hub working with my Nexus 4! While I wait for my Miracast adapter to arrive, I had to put something on the Lapdock’s HDMI port to make it turn on, so I used a Raspberry Pi for now. Here are a few observations:
- I’m using an unmodified 5-wire Micro USB B Male to Female.
- The phone does not charge even though the lapdock is sending power and data to the phone. Perhaps the kernel needs additional modification?
- In the second and third pictures I removed the small WiFi USB adapter that was plugged into the Lapdock to show that the phone detected it, confirming the USB hub works.
- Once I get my PTV3000 I can try using the Lapdock’s full potential with my phone.
- No multitouch mouse/touchpad :(
Steps taken to accomplish:
- Download the modified kernel at the bottom of that post.
- Boot the new kernel following the instructions in the original post.
- Plug and play!
Note
Ignore the Raspberry Pi in the images below, I’m just using it to trick the Lapdock into powering on. Notice the mouse cursor on my phone!
If you can see, I ran lsusb
on the phone, removed the USB WiFi adapter, and ran lsusb
again. Notice the
shorter “paragraph” on my phone. Definitely working.
Using USB OTG and Miracast¶
It works, but it’s not really pleasant. If we can get Keyboard/Mouse to Bluetooth working that would be much better.
With a Raspberry Pi¶
The Lapdock works great with the Raspberry Pi, but with a few caveats:
- Every time the Lapdock’s lid is opened or closed, power is cut off the RPI for a second, causing it to reboot.
- There is no “off” mode. When the lid is closed, power is cut off for a second, but then returned, so the RPI will power back on.
Adapters used:
Note
The Raspberry Pi only supports power from its micro USB port, and the regular USB ports on the RPI won’t allow enough power through. So I had to splice another USB cable into the micro USB extension and route the USB data cables (green and white) to the spliced cable.
With a Laptop¶
I can use the Atrix Lapdock as a secondary display for my laptop. At home my laptop is docked to two monitors, so every time I traveled I had to deal with a single monitor. Not anymore! Adapters used:
- HDMI Male to Micro HDMI Female
- HDMI Female/Female Coupler
With a Wii¶
I don’t have a 360 or PS3, but I have a Wii and after I found an HDMI adapter I tried it with the Lapdock. Turns out it works just fine. The Lapdock takes care of changing resolution as long as it’s at or below 1366x768. Audio works too by the way. This should work just fine with the Xbox 360, PS3, or any other HDMI devices. Adapters used:
- HDMI Male to Micro HDMI Female
- HDMI Female/Female Coupler
- Wii HDMI Adapter
Lapdock 500 Teardown¶
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Chapter 7 The X-Y Space
7.1 Points
The scatterplot has two key aesthetics: the horizontal and vertical location of points (and lines). We refer to the horizontal location as “x” and the vertical location as “y.” We sometimes refer to this two-dimmensional space (of horizontal-vertical or x-y locations) as the “Cartisian coordinate system.”
The table below contains five observations. Each observation has values for variables x and y. (In the context of a data analysis, we typically think of x as the key explanatory variable and y as the outcome varaible.)
| Observation | x | y |
|---|---|---|
| #1 | 1 | 1 |
| #2 | 4 | 4 |
| #3 | -4 | -3 |
| #4 | 2 | -2 |
| #5 | -2 | 4 |
The plot below shows the location of each point in the x-y space.
Hint
The first number in the (x, y) pair represents the “x” or horizontal location. The second number represents the “y” or vertical location. The location of the second point is…
Solution
7.2 Lines
We can also draw lines in the x-y space. Remember, the formula for a line is \(y = mx + b\). Here, \(y\) and \(x\) represent variables (i.e., locations in the x-y space), \(m\) represents the slope of the line, and \(b\) represents the intercept.
Consider the following four examples:
| Example | Equation | Intercept | Slope |
|---|---|---|---|
| Example 1 | \(y = x + 0\) | 0 | 1.0 |
| Example 2 | \(y = -2x + 2\) | 2 | -2.0 |
| Example 3 | \(y = 0.5x - 1\) | -1 | 0.5 |
| Example 4 | \(y = 3x - 2\) | -2 | 3.0 |
7.2.1 The Intercept
The intercept \(b\) tells us where the line crosses the vertical slice of the space where \(x = 0\).
Hint
All the lines look like 45-degree lines (or 315-degree) because the ranges of the axes are rescaled. This makes the problem a little trickier.
Solution
The intercepts are 0, -2, 1, 1.5. You cannot see the third intercept visually, because the slice of the space where \(x = 0\) is not included in the plot.7.2.2 Slope
The slope \(m\) tells us how fast the line rises or falls as we move from left-to-right.
- If \(m\) is positive, then the line rises.
- If \(m\) is negative, then the line falls.
- If \(m\) is zero, then the line neither rises nor falls (stays constant at the same height).
- As \(m\) gets larger in magnitude, the line rises or falls faster.
The best way to think about slope is as the “rise over run.”
\(\text{slope} = \dfrac{\text{rise}}{\text{run}}\).
Take Example 2 from the table above or \(y = -2x + 2\). Consider two scenaarios: one where \(x = 0\) and another where \(x = 3\).
- When \(x = 0\), we know that \(y = 2\) because the intercept \(b\) equals 2.
- When \(x = 3\), we have “run” 3 units to the right (i.e., \(\text{run} = \text{2nd value} - \text{1st value} = 3 - 0 = 3\)) and \(y = -2 \times 3 + 2 = -6 + 2 = -4\). When we run 3 units, we rise \(-4 - 2 = -6\) units (or fall 6 units).
The table below summarizes our work.
| Scenario | x | y |
|---|---|---|
| Scenario 1 | 0 | 2 |
| Scenario 2 | 3 | -4 |
\(\text{run} = x \text{ in Scenario 2} - x \text{ in Scenario 1} = 3 - 0 = 3\)
\(\text{rise} = y \text{ in Scenario 2} - y \text{ in Scenario 1} = -4 - 2 = -6\)
\(\text{slope} = \dfrac{\text{rise}}{\text{run}} = \dfrac{-6}{3} = -2\)
These calculations match the slope we find by inspecting the original equation \(y = -2x + 2\).
The figure below shows the rise-over-run logic for each of the four example equations.
Hint
Remember that a line is completely defined by only two points. Use this rule to draw the line. Choose two values of \(x\) and find the corresponding value of \(y\). Ideally, choose two values of \(x\) that are separated by some distance (so long as the resulting x-y pairs remain on our plot). Let’s try the first line using \(x = -1\) and \(x = 2\). For the first equation, we have \(y = 2 \times -1 -1 = -2 - 1 = -3\) and \(y = 2 \times 2 -1 = 4 - 1 = 3\), respectively. Then our two points are (-1, -3) and (2, 3), respectively. Just add lightly add these two points to the plot and draw a line that goes through both.
Solution


Master de II. ULL. 1er cuatrimestre. 2020/2021
CONNECT
requestsUpgrade
requestsisFinished(req)
when data bufferedsocket
is detachedundefined
for isFinished
if state unknownisFinished
functionjshttp
organizationon-finished
req
and res
as argumentsError
socket
to passed-in objectfinished


|
Namespaces |
| namespace | iof |
Functions |
|
template<typename TT> |
| bool | iof::cinf (TT &msg) |
|
template<typename T1> |
| bool | iof::cinf (const char *fmt, T1 &obj) |
|
template<typename T1, typename T2> |
| bool | iof::cinf (const char *fmt, T1 &obj1, T2 &obj2) |
|
template<typename T1, typename T2, typename T3> |
| bool | iof::cinf (const char *fmt, T1 &obj1, T2 &obj2, T3 &obj3) |
|
template<typename T1, typename T2, typename T3, typename T4> |
| bool | iof::cinf (const char *fmt, T1 &obj1, T2 &obj2, T3 &obj3, T4 &obj4) |
|
template<typename T1, typename T2, typename T3, typename T4, typename T5> |
| bool | iof::cinf (const char *fmt, T1 &obj1, T2 &obj2, T3 &obj3, T4 &obj4, T5 &obj5) |
|
template<typename T1, typename T2, typename T3, typename T4, typename T5, typename T6> |
| bool | iof::cinf (const char *fmt, T1 &obj1, T2 &obj2, T3 &obj3, T4 &obj4, T5 &obj5, T6 &obj6) |
|
template<typename T1, typename T2, typename T3, typename T4, typename T5, typename T6, typename T7> |
| bool | iof::cinf (const char *fmt, T1 &obj1, T2 &obj2, T3 &obj3, T4 &obj4, T5 &obj5, T6 &obj6, T7 &obj7) |
|
template<typename T1, typename T2, typename T3, typename T4, typename T5, typename T6, typename T7, typename T8> |
| bool | iof::cinf (const char *fmt, T1 &obj1, T2 &obj2, T3 &obj3, T4 &obj4, T5 &obj5, T6 &obj6, T7 &obj7, T8 &obj8) |
|
template<typename T1, typename T2, typename T3, typename T4, typename T5, typename T6, typename T7, typename T8, typename T9> |
| bool | iof::cinf (const char *fmt, T1 &obj1, T2 &obj2, T3 &obj3, T4 &obj4, T5 &obj5, T6 &obj6, T7 &obj7, T8 &obj8, T9 &obj9) |
|
template<typename T1, typename T2, typename T3, typename T4, typename T5, typename T6, typename T7, typename T8, typename T9, typename T10> |
| bool | iof::cinf (const char *fmt, T1 &obj1, T2 &obj2, T3 &obj3, T4 &obj4, T5 &obj5, T6 &obj6, T7 &obj7, T8 &obj8, T9 &obj9, T10 &obj10) |


title = "Home" url = "/home" layout = "default" description = "Home — Recommendation List" hidden = "0" [Recommendations 'activitylist'] recommend = "activity" ifEmpty = "weight" limit = "12" [ActivityFilters] target_component = 'activitylist' [ActivityInteractions] [PopupHelp] topic = "@explore" == == {% put head %} {% component 'ActivityFilters' %} {% component 'PopupHelp' %}


raises 'oe-show-success' event with data as string message
raises 'oe-show-message' event with data as string message
raises 'oe-show-warning' event with data as string message
raises 'oe-show-error' event with data as string message
raises 'oe-show-message' event with data as {message:..., forever:true}
raises 'oe-show-confirm' event with data as {message:..., ok:okCallackFunc, cancel:cancelCallbackFunc}
raises 'oe-show-message' event with data as {code:'valueMissing'}
raises 'oe-show-message' event with data as {code:'invalid-credentials',message:'Fallback message...'}


You can easily localize the Ext Gantt component by loading different localization files. Keep in mind, you'll need to include a file to localize the underlying Ext JS library too.
Note that the js for the example code is not minified so it is readable. See localization.js.


Request a Ride!


Documentation
A simple GET
request to the endpoint with querystring query
, as per example below:
curl https://googlesearch.herokuapp.com/api/search?query=maru+the+cat
An array of the results with title
, blurb
, and link
:
[
{
"title":"Maru (cat) - Wikipedia, the free encyclopedia",
"blurb":"Maru (まる, Japanese: circle or round; born May 24, 2007) is a male Scottish Fold \n(straight variety) cat in Japan who has become popular on YouTube. As of April ...",
"link": "http://en.wikipedia.org/wiki/Maru_(cat)"
},
{
"title":"mugumogu - YouTube",
"blurb":"名前：まる 種類：スコティッシュフォールド オス Name:Maru Breed:Scottish Fold Male.",
"link": "https://www.youtube.com/user/mugumogu"
}
// ..
]
Click here.


{{gettext("Download and use the Origin Browser Extension to Earn 15 OGN")}}
{{gettext("For this month’s Origin Rewards campaign, it’s all about our Origin Browser Extension. To celebrate the launch we have committed a total of 150,000 OGN to give away to our Origin community!")}}
150,000 OGN
{{gettext("Total Reward Pool")}}
{{gettext("Rewards Details")}}
- {{gettext("available on Chrome, Firefox and Brave")}}
- {{gettext("account must have four profile verifications on shoporigin.com")}}
- {{gettext("extension must still be installed at the end of the month")}}
- {{gettext("extension must be installed in a browser that is used throughout the month")}}
- {{gettext("rewards is contingent on review of fraud and abuse")}}
- {{gettext("read the")}} {{gettext("Privacy Policy")}}


FPA Crescent Fund Q3 2019 Commentary
by Fund LettersSummary
- The Fund seeks to generate equity-like returns over the long term, take less risk than the market and avoid permanent impairment of capital. We invest across capital structure, geographies, sectors.
- FPA Crescent Fund, or the Fund, returned -0.81% in the third quarter and 13.56% over the first nine months of 2019.
- Long equities held by the Fund returned -1.33% and 19.47% in the third quarter and year-to-date, respectively.
Editor's Note: The summary bullets for this article were chosen by Seeking Alpha editors.


Welcome to Paradigm Chess30
This is a testing and development site. No guarantees!
Try the Phase 1 board here
Try the Phase 1A board here (now with a clock!)


Greg Lutostanski
Work Experience
The Mobility House: Team Lead
(Germany › Austin, TX) Dec 2017 - Present
Python, RabbitMQ, Redis, Elasticsearch, Rust, Bash, Docker, k8s, Balena.io, AWS, Git, JIRA, GitHub
- Bootstrap a productive development team in Austin with only remote support from the wider company
- Manage, support, and mentor international team of 10 developers across full-stack and remote IoT devices
- Lead team from an unreleased MVP of our core product through first pilot customers and commercial releases
- Drive completion of Germany’s first vehicle to grid integration providing Frequency Control Reserve
- Architect, plan, and lead development for a microgrid real-time power distribution network of EVs and renewables
- Responsible for uptime and improvements of production system serving 25 Megawatts to European power grid
- Recruit, hire, on-board, set goals, promote, provide feedback, and manage team through re-organizations
- Facilitate continuous improvement of the team’s iterative workflow using Agile techniques and ceremonies
- Promote healthy dev practices when needed including pair-programming, code-reviews, CI/CD, and training dojos
Senior Software Architect
- Work across teams and products to identify gaps and align on common tooling/infrastructure to solve issues
- Implement BDD testing combining our edge-node and cloud code in CI and successfully handover to teams
- Reduce recurring cost of our AWS bill by 30% by combining services, right-sizing, and reserving instances
- Drive migration from unsupported hardware and codebase to a modern platform shared across our products
Canonical: Software Engineer
(Remote) Feb 2014 - Nov 2017
Python, Django, PostgreSQL, Bash, AngularJS 1.x, d3.js, Jenkins, lxd, Juju/MAAS, Git/bzr, GitHub/launchpad.net
- Iteratively designed and produced full-stack dashboard including database models, REST API, and front-end
- Created and maintained flexible REST client that works on any Tastypie endpoints with schema discovery
- Developed hands-off monthly reporting system converting highly-dimensional data into customer-facing PDFs
- Led team’s DevOps infrastructure automation and documentation for push-button deploys and upgrades
- Created and collaborated on cross-team open source tools for log collection, regression analysis, and testing
- Triaged, debugged, and replicated complex bugs in deployments of OpenStack, Kubernetes, and Hadoop
Calxeda: Software Engineer in Test
(Austin, TX) May 2013 - Dec 2013
- Routinely developed and maintained test framework, implemented test suites, and architected test plans
- Chiefly responsible for stress testing and application benchmark regression for Linux portion of SoC
- Communicated directly with developers and hardware engineers to debug and resolve uncovered defects
- Represented the company as an advising member of the Xen Project Test Framework Working Group
Education
The University of Texas at Austin: B.S. Computer Science
May 2013
- Relevant courses: Distributed Computing, Communication Networks, Operating Systems
- Undergraduate Thesis: Designed load-balancer for TCP connections with guaranteed fault tolerance which powers-off back-end servers based on demand reducing electricity consumption 30%
Projects
(2nd place) Jul 2018
Ethereum, Solidity, IOTA, Node.js, Angular, bash
- Created and presented proof-of-concept vendor-agnostic system allowing vehicles automatically discover, communicate, and pay for charging and parking
Code2College: Volunteer Instructor
Aug 2017 - Dec 2017
R, Javascript, HTML/CSS
- Taught minority and low-income high school students how to process data sets and create websites
Skills
- Creating and growing high performing teams that release software and hardware products
- Proficient with Python, shell scripting, Rust, JavaScript, AWS, DevOps, Linux sysadmin, container technologies
- Well versed with common practices: code reviews, debugging, automation, bugtracking, releasing, agile
- Familiar with concurrent program design (threading/locking, multiprocess/IPC, async/promises)
- Adept at managing large cluster (hundreds) of machines via automatic deployment
- Previously used Go, Java, Perl, MATLAB, C, C++, Lua, x86 assembly, Haskell


Kenzie Ziegler Gets Support From Sis Maddie at 'Ice Princess Lily' Premiere
Kenzie Ziegler just premiered her new movie Ice Princess Lily!
The 15-year-old actress and singer was joined by sister Maddie at the event on Saturday night (November 16) at AMC Santa Monica 7 in Santa Monica, Calif.
PHOTOS: Check out the latest pics of Kenzie Ziegler
The upcoming movie follows a fearless ice princess, voiced by Kenzie, who teams up with a young dragon named Tabaluga.
Ice Princess Lily will premiere on November 21st on DirecTV, and in select theaters on December 27th.


gameanalysis.paygame module¶
Module for games with potentially sparse payoff data
-
gameanalysis.paygame.
game
(num_role_players, num_role_strats, profiles, payoffs)[source]¶ Create a game with default names
- Parameters
num_role_players (ndarray-like, int,) – The number of players per role.
num_role_strats (ndarray-like, int,) – The number of strategies per role.
profiles (ndarray-like, int) – The profiles for the game, with shape (num_profiles, num_strats).
payoffs (ndarray-like, float) – The payoffs for the game, with shape (num_profiles, num_strats).
-
gameanalysis.paygame.
game_copy
(copy_game)[source]¶ Copy structure and payoffs from an existing game
- Parameters
copy_game (RsGame) – Game to copy data from. This will create a copy with the games profiles and payoffs.
-
gameanalysis.paygame.
game_json
(json)[source]¶ Read a Game from json
This takes a game in any valid payoff format (i.e. output by this or by EGTA Online), and converts it into a Game. If several payoff exist, the mean is taken. This means that loading a game using this method, and loading it as a sample game produce different results, as the sample game will truncate extra payoffs for an individual profile, while this will take the minimum. Note, that there is no legitimate way to get a game with that structure, but it is possible to write the json.
-
gameanalysis.paygame.
game_names
(role_names, num_role_players, strat_names, profiles, payoffs)[source]¶ Create a game with specified names
- Parameters
role_names ([str]) – The name for each role.
num_role_players (ndarray-like, int,) – The number of players per role.
strat_names ([[str]]) – The name for each strategy per role.
profiles (ndarray-like, int) – The profiles for the game, with shape (num_profiles, num_strats).
payoffs (ndarray-like, float) – The payoffs for the game, with shape (num_profiles, num_strats).
-
gameanalysis.paygame.
game_replace
(copy_game, profiles, payoffs)[source]¶ Copy structure from an existing game with new data
- Parameters
copy_game (Game) – Game to copy structure out of. Structure includes role names, strategy names, and the number of players.
profiles (ndarray-like, int) – The profiles for the game, with shape (num_profiles, num_strats).
payoffs (ndarray-like, float) – The payoffs for the game, with shape (num_profiles, num_strats).
-
gameanalysis.paygame.
samplegame
(num_role_players, num_role_strats, profiles, sample_payoffs)[source]¶ Create a SampleGame with default names
- Parameters
num_role_players (ndarray-like, int) – The number of players per role.
num_role_strats (ndarray-like, int) – The number of strategies per role.
profiles (ndarray-like, int) – The profiles for the game, with shape (num_profiles, num_strats).
sample_payoffs ([ndarray-like, float]) – The sample payoffs for the game.
-
gameanalysis.paygame.
samplegame_copy
(copy_game)[source]¶ Copy a SampleGame from another game
If game defined sample_payoffs, this will be created with those, otherwise it will create a game with one sample per payoff.
- Parameters
copy_game (RsGame) – Game to copy data from.
-
gameanalysis.paygame.
samplegame_flat
(num_role_players, num_role_strats, profiles, payoffs)[source]¶ Create a SampleGame with default names and flat profiles
- Parameters
num_role_players (ndarray-like, int) – The number of players per role.
num_role_strats (ndarray-like, int) – The number of strategies per role.
profiles (ndarray-like, int) – The profiles for the game, potentially with duplicates, with shape (num_sample_profiles, num_strats).
payoffs (ndarray-like, float) – The sample payoffs for the game, in parallel with the profiles they’re samples from, with shape (num_sample_profiles, num_strats).
-
gameanalysis.paygame.
samplegame_json
(json)[source]¶ Read a SampleGame from json
This will read any valid payoff game as a sample game. Invalid games will produce an empty sample game.
-
gameanalysis.paygame.
samplegame_names
(role_names, num_role_players, strat_names, profiles, sample_payoffs)[source]¶ Create a SampleGame with specified names
- Parameters
role_names ([str]) – The name of each role.
num_role_players (ndarray) – The number of players for each role.
strat_names ([[str]]) – The name of each strategy.
profiles (ndarray) – The profiles for the game.
sample_payoffs ([ndarray]) – The sample payoffs for the game.
-
gameanalysis.paygame.
samplegame_names_flat
(role_names, num_role_players, strat_names, profiles, payoffs)[source]¶ Create a SampleGame with specified names and flat payoffs
- Parameters
role_names ([str]) – The name of each role.
num_role_players (ndarray) – The number of players for each role.
strat_names ([[str]]) – The name of each strategy.
profiles (ndarray-like, int) – The profiles for the game, potentially with duplicates, (num_sample_profiles, num_strats).
payoffs (ndarray-like, float) – The sample payoffs for the game, in parallel with the profiles they’re samples from, (num_sample_profiles, num_strats).
-
gameanalysis.paygame.
samplegame_replace
(copy_game, profiles, sample_payoffs)[source]¶ Replace sample payoff data for an existing game
- Parameters
copy_game (BaseGame, optional) – Game to copy information out of.
profiles (ndarray-like, int) – The profiles for the game, with shape (num_profiles, num_strats).
sample_payoffs ([ndarray-like, float]) – The sample payoffs for the game.
-
gameanalysis.paygame.
samplegame_replace_flat
(copy_game, profiles, payoffs)[source]¶ Replace sample payoff data for an existing game
- Parameters
copy_game (BaseGame, optional) – Game to copy information out of.
profiles (ndarray-like, int) – The profiles for the game, potentially with duplicates, with shape (num_sample_profiles, num_strats).
payoffs (ndarray-like, float) – The sample payoffs for the game, in parallel with the profiles they’re samples from, with shape (num_sample_profiles, num_strats).


🤘 a11y and u 🤘
👍🏻 a11y == 👍🏻 er'body
🐳🐳🐳🐯🐳
In the US, 1 in 5 adults have a disability
Impairment Temporalities
- temporary
- permanent
- situational
Impairment Categories
- visual
- motor
- hearing
- cognitive
ROBOTS 🤖
Web Content Accessibility Guidelines
- Perceivable
- Operable
- Understandable
- Robust
- Focus
- Semantic HTML
- Navigability
- ARIA
- Style 💃🏽
good
tab order == dom order
expect it to be the same as visual order
nav content #1
modal content
danger you have done a bad
Managing Focus
// Use the focus() method to set focus
function showModal() {
...
var modal = document.getElementById('modal2');
modal.focus();
...
}
offscreen content
// for debugging
document.activeElement
/* for hidden elements */
.hide {
display: none;
}
.show {
display: block;
}
offscreen content
clearly defined boundaries
color only errors
skip links
Semantic HTML
role, name, state & value
label types
- visible
- text alternatives
text alternatives
Can't get no semantics
ARIA
Responsive Design
colour contrast
pa11y demo 🐶
npx pa11y www.thinkific.com
be the color contrast you wish to see in the world


Please select the parameters for your password.
How many characters would you like in your password?(must be at least 8 characters)
Which of these unique characters would you like?


HPSTR Jekyll Theme
They say three times the charm, so here is another free responsive Jekyll theme for you. I’ve learned a ton since open sourcing my first two themes, and wanted to try a few new things this time around. If you’ve used my previous themes most of this should be familiar territory.
Compatible with Jekyll 3.0 and up.
What HPSTR brings to the table:
- Modern and minimal design.
- Responsive templates for post, page, and post index
_layouts
. Looks great on mobile, tablet, and desktop devices. - Gracefully degrades in older browsers. Compatible with Internet Explorer 8+ and all modern browsers.
- Sweet animated menu with support for drop-downs.
- Optional Disqus comments and social sharing links.
- Open Graph and Twitter Cards support for a better social sharing experience.
- Simple custom 404 page to get you started.
- Syntax highlighting stylesheet to make your code examples look snazzy
- Available in Spanish. Thanks @cruznick!
Getting Started
HPSTR takes advantage of SCSS and data files to make customizing easier. This theme requires Jekyll 3.x and will not work with older versions properly.
To learn how to install and use this theme check out the Setup Guide for more information.


Ayushmann Khurrana’s Shubh Mangal Zyada Saavdhan Poster On ‘How’s The Hype?’ BLOCKBUSTER Or Lacklustre?
Ayushmann Khurrana plays a homosexual who will romance newbie Jitendra Kumar in Aanand L Rai's Shubh Mangal Zyada Saavdhaan.
by Koimoi.com TeamAyushmann Khurrana has been riding high on the success of his movies that are being continuously received well by the audiences. Post Article 15 and Bala this year, the actor recently unveiled the poster of his next, Shubh Mangal Zyada Saavdhan, and we’re already loving it. But are the audiences too? Our exclusive ‘How’s The Hype?’ section will give clarity for the same.
In our exclusive ‘How’s The Hype?’ section, the netizens rate the buzz for posters, songs, teaser and trailers of the movie, so it will be interesting to look out for Shubh Mangal Zyada Saavdhan’s reception amongst the audience.
Talking about the poster, it features Ayushmann running away metaphorically from all the society’s usual perception as could be seen in the form where bride and grooms could be seen running in the background. Furthermore, a new release date has been unveiled as the movie gets preponed to 21st February, 2020.
Check out the poster below:
Previously, an announcement video was also released showcasing a super talented cast including Jitendra Kumar, Neena Gupta, Gajraj Rao, Manurishi Chaddha, Sunita Rajwar, Maanvi Gagroo, Tripathi Pankhuri Awasthy and Neeraj Singh.


Hi , My Name Is Vishnu Singh Rajawat
Here Are Some of My Projects
Tribute Page
Survey Form
Product Landing Page
Technical Page


Bike is Required
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DoubleTreeJS is an interactive way to give a more compact view of words in their context of use than a traditional concordance (KWIC) does.
Clicking on a word on one side of DoubleTree
highlights the words on the other side that occur in the same phrase as the word clicked on.
DoubleTreeJS is a re-implementation in Javascript of
Double Tree
(Culy and Lyding, 2010, below), which was inspired by Word Tree (Wattenberg & Viégas, 2008).
This re-implementation of DoubleTree includes several of the enhancements mentioned in Culy and Lyding, 2010, including the abilities to sort the branches by a variety of properties,
to filter the branches by different properties, and to search the words in the DoubleTree.
It also is designed to work with various types of structured data.
See also my KWICis concordance viewer, also
designed for structured data.
Here are a few sample uses:
Two additional examples are included in the download. One is the system from
Culy et al. 2014.
The other shows how to use DoubleTreeJS to visualize results from a corpus query engine.
Hint: in all of the examples, you can use text files which have the part of speech (POS) immediately following word, separated by a slash: espresso/NN.
There is nothing special about POS information: you can put any information after the slash and the filtering and sorting will (should) work with that information.
DoubleTreeJS is still very much under development, and this is not a final release. Any feedback is appreciated.
How to use DoubleTreeJS with your own data
Many of the samples should be usable as is. The data format is extremely simple: your input file should have one item per line,
with the word first, and optionally followed by a "/" and then a part of speech. e.g.
Not/RB
only/JJ
Robin/NP
himself/PP
but/RB
all/PDT
the/DT
band/NN
were/VBD
outlaws/NNS
For more advanced users, there is a developer's guide, as well as jsdoc API documentation.
In addition, there is an example of how to use DoubleTreeJS with SketchEngine. This example is intended for those who have their own instance of SketchEngine, or some other corpus query engine.
Compatibility
DoubleTreeJS has been tested with Chrome, Firefox, Opera, and Safari on OS X 10.6 and 10.8, as well as Chrome and Firefox on Windows 7.
Older versions of Safari my not allow local files to be read, in which case you will not be able to try your own data.
- In Firefox on Linux, instead of alt-click, use AltGr+Alt-click (Firefox uses alt-click for itself).
- Background rectangles do not work in Opera
- DoubleTreeJS does not function at all in IE (at least not version 9 or lower).
Download
DoubleTreeJS is freely available under the new BSD license (see the source files). Download
If you use DoubleTreeJS, please cite this web site and (for research papers, articles, reports):
- C. Culy, M. Passarotti, and U. König-Cardanobile. 2014. A Compact Interactive Visualization of Dependency Treebank Query Results.
in Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), Rejkjavik, Iceland. May 26-31, 2014. N. Calzolari et al. (eds.). ELRA.
- Culy, C. and V. Lyding. 2010. "Double Tree: An Advanced KWIC Visualization for Expert Users" in Information Visualization, Proceedings of IV 2010, 2010 14th International Conference Information Visualization, 98-103.
Roadmap
This version of DoubleTreeJS should be ready for more extensive use.
Possible improvements:
- Secondary sort of the branches
- Examples with the Regular Expression Text Model from KWICis
- Multiple documents
- Improved UI in the examples (configuration, select, KWIC)
Please let me know if you have other suggestions, or suggestions for a priority order.
Acknowledgments
DoubleTreeJS uses the D3 toolkit, and the tree drawing uses elements from its examples.
Some of the examples use the canvg library for drawing SVG to HTML canvas.
Thanks to Corina Dima, Ulla Köning-Cardanobile, Verena Lyding, L. Lee McIntyre, Marco Passarotti, Eran Raveh and Tanja Säily for useful feedback and testing.
Version history
- Version 0.8
DoubleTreeJS
- Added the ability to display right to left languages correctly via the prefixesOnRight getter/setter
Examples
- Added the doubletree-kwic-right-to-left.html example
- Version 0.7
DoubleTreeJS
- !!! setupFromArrays() now takes an array of ids (can supply null if there are no ids)
- added filteredIDs() to get the ids of just the data satisfying the current filters
- Fixed bug with expanding/collapsing nodes with just one child
- Fixed bug with panning in Firefox and Chrome
TextHash
- improved ids
- fixed bug with restoring from JSON
- Moved TextHash to new textmodels folder
Examples
- Added search history to doubletree-kwic, doubletree-filtered, doubletree-metadata
Miscellaneous
- Revised the developer's guide
- Fixed typos in jsdoc
Known bugs
- When clicking on a hit in a simple KWIC when the search term was a regular expression,
the longer context cannot be retrieved
- Version 0.6.1
DoubleTree
- Fixed bug with panning in Chrome and Safari
- Version 0.6
DoubleTree
- Clicking on a node with one child will expand the descendants until there is more than one child (more like WordTree)
- After filtering, the nodes now report the correct IDs and continuations
- Dragging on the background to pan now works (and panning code has been cleaned up)
- Added "move" cursor
Trie
- Improvment and bug fix for private function
TextHash
- Added ability to exclude punctuation, separate from other exclude filters
- Fixed bug concerning the last elements in a text
Examples
- Redid poe_v2.conll for LREC2014 example
- Added punctuation filter to doubletree-kwic.html and doubletree-filtered.html
- When a DT has been filtered, only the examples which pass the filter will be accessed, e.g. for the KWICs
- Version 0.51
- DoubleTree Colors
- Moved circle (node) styles into DoubleTree
- Moved link (branches) styles into DoubleTree
- These are customizable via DoubleTree.basicStyles()
- Examples
- Added dependency paths example (LREC 2014)
- Added SketchEngine example
- Pressing the escape key while typing a new search term cancels the interaction
- Searching for the empty string in the tree finds nothing
- Canceling from an error loading a file removes the name of the problematic file
- Loading a new file in doubletree-compare.html and in doubletree-compare-docs.html now resets the tree correctly.
- Version 0.5aa
- Fixed critical bug in Safari concerning highlighting of continuations
- Added link to DoubleTreeJS + Filtered example
- Version 0.5a
- DoubleTree
- DoubleTree.setupFromArrays is no longer destructive -- the input arrays are unchanged
- DoubleTree.nodeText() and DoubleTree.tokenExtraText() now take a second argument: isRoot
- Colors: These changes were made to allow the saving of DoubleTrees as images
- DoubleTree now can customize the continuation color: DoubleTree.continuationColor()
NB: Removed continuation color from css
- Moved circle styles into DoubleTree (i.e. no longer customizable)
- Moved link (branches) styles into DoubleTree (i.e. no longer customizable)
- DoubleTree.Trie
- Trie constructor now has optional argument allowing the root to be calculated without using the distinguishing fields
- TextHash
- doubletree.TextHash moved to textmodel.TextHash
- TextHash constructor now takes an optional extra argument indicating that the input is records delimited by 2 newlines
- added TextHash.getItems(): like getItem, but takes regex to match
- TextHash.getItem() now takes an argument indicating that the "item" is a regular expression
- TextHash.getItem() now has extra argument for context filters
- TextHash.getItem() now has extra argument to specify a random selection of hits
- TextHash.getItemContext() now has argument indicating whether the item parameter should be considered a regular expression
- Examples
- Added doubletree-filtered sample
- Added save as image to some examples (kwic, metadata, filtered)
NB: found nodes highlighting won't be preserved in image
- fixed doubletree-kwic.js so that illformed regex input for words doesn' give an error
- Version 0.4.1
- Fixed bug in doubletree.sortByStrFld() in cases where info.field is not defined
- Version 0.4
- Changed doubletree.DoubleTree API to follow the "chart" conventions of D3,
i.e. with a no-argument constructor, and chained functions, including single function setter/getters
- Added the possibility to provide a colored background rectangle for each node, variable according to node properties
- Added (de)serialization for doubletree.Trie, doubletree.TextHash
- Added new metadata lemma example
- Added documentation
- Added developer guide
- Moved Trie and TextHash into doubletree.Trie and doubletree.TextHash respectively
- Rewrote doubletree.Trie
- Moved the true utility functions into doubletree.js or Trie.js
- Renamed cleaned up utils.js as TextHash.js
- Moved filterByPOS and filterByMinCount out of examples and to doubletree.filterByPOS and doubletree.filterByMinCount
- Miscellaneous old comments removed
- Updated samples to incorporate new API
- Cleaned up samples
- Version 0.3
- Nodes are now logarithmically scaled by frequency by default
- In the DoubleTreeJS + KWIC demo, it is now possible to optionally show the POS after the tokens (if there is a POS)
- Added "bare" demo
- Added document comparison demo
- Added part of speech only demo
- Added more sample tagged texts, in English and in German
- Added sample text file of character sequences from the Bambara Wikipedia
- Node formatting is now done by doubletree.nodeText()
- Fixed bug in sorting by continuations
- Fixed an off-by-one bug in the reporting of the search results
- Cleaned up the tagged texts
- Version 0.2
- First publicly available version
- Added the "Clear" button to clear the in-tree search results
- Pressing enter in a "Word to use" field now selects the first word in the prediction list.
- Fixed positioning of predicted words
- Improved handling of words that are Object properties
- Version 0.1a
- First privately available version
3 February 2015


= untar_data(URLs.PETS)
path = get_image_files(path/"images")
files
def label_func(f): return f[0].isupper()
SparsifyCallback
::: {.cell 0=‘e’ 1=‘x’ 2=‘p’ 3=‘o’ 4=‘r’ 5=‘t’}
from fastai.vision.all import *
from fastai.callback.all import *
from fasterai.sparse.sparsifier import *
from fasterai.sparse.criteria import *
from fasterai.sparse.schedule import *
import torch
import torch.nn as nn
import torch.nn.functional as F
:::
= ImageDataLoaders.from_name_func(path, files, label_func, item_tfms=Resize(64)) dls
::: {.cell 0=‘e’ 1=‘x’ 2=‘p’ 3=‘o’ 4=‘r’ 5=‘t’}
class SparsifyCallback(Callback):
def __init__(self, sparsity, granularity, context, criteria, schedule, lth=False, rewind_epoch=0, reset_end=False, save_tickets=False, model=None, round_to=None, layer_type=nn.Conv2d):
store_attr()self.sparsity = listify(self.sparsity)
def before_fit(self):
print(f'Pruning of {self.granularity} until a sparsity of {self.sparsity}%')
assert self.schedule.start_pct*self.n_epoch>=self.rewind_epoch, 'You must rewind to an epoch before the start of the pruning process'
= self.model if self.model else self.learn.model
model self.sparsifier = Sparsifier(model, self.granularity, self.context, self.criteria, self.layer_type)
def before_epoch(self):
if self.epoch == self.rewind_epoch:
print(f'Saving Weights at epoch {self.epoch}')
self.sparsifier._save_weights()
def before_batch(self):
self.current_sparsity = self.schedule(self.sparsity, round(self.pct_train,3))
if self.schedule.pruned and self.training:
if self.lth and self.save_tickets:
print('Saving Intermediate Ticket')
self.sparsifier.save_model(f'winning_ticket_{self.previous_sparsity[0]:.2f}.pth', self.learn.model)
self.sparsifier.prune_model(self.current_sparsity, self.round_to)
def after_step(self):
if self.lth and self.schedule.pruned:
print(f'Resetting Weights to their epoch {self.rewind_epoch} values')
self.sparsifier._reset_weights(self.learn.model)
self.schedule.after_pruned()
self.sparsifier._apply_masks()
def after_epoch(self):
= [float(f"%0.2f"%sp) for sp in self.current_sparsity]
sparsity_str print(f'Sparsity at the end of epoch {self.epoch}: {sparsity_str}%')
def after_fit(self):
if self.save_tickets:
print('Saving Final Ticket')
self.sparsifier.save_model(f'winning_ticket_{self.previous_sparsity[0]:.2f}.pth', self.learn.model)
print(f'Final Sparsity: {self.schedule.current_sparsity:}%')
if self.reset_end: self.sparsifier._reset_weights()
self.sparsifier._clean_buffers()
self.schedule.reset()
self.sparsifier.print_sparsity()
:::
The most important part of our Callback
happens in before_batch
. There, we first compute the sparsity of our network according to our schedule and then we remove the parameters accordingly.
= cnn_learner(dls, resnet18, metrics=accuracy)
learn learn.unfreeze()
/home/HubensN/miniconda3/envs/deep/lib/python3.8/site-packages/fastai/vision/learner.py:265: UserWarning: `cnn_learner` has been renamed to `vision_learner` -- please update your code
warn("`cnn_learner` has been renamed to `vision_learner` -- please update your code")
5) learn.fit_one_cycle(
| epoch | train_loss | valid_loss | accuracy | time |
|---|---|---|---|---|
| 0 | 0.714170 | 0.534177 | 0.802436 | 00:08 |
| 1 | 0.405863 | 0.466950 | 0.861976 | 00:07 |
| 2 | 0.229647 | 0.234999 | 0.902571 | 00:07 |
| 3 | 0.141966 | 0.198904 | 0.924222 | 00:07 |
| 4 | 0.073327 | 0.191152 | 0.930988 | 00:07 |
Let’s now try adding some sparsity in our model
= cnn_learner(dls, resnet18, metrics=accuracy)
learn learn.unfreeze()
/home/HubensN/miniconda3/envs/deep/lib/python3.8/site-packages/fastai/vision/learner.py:265: UserWarning: `cnn_learner` has been renamed to `vision_learner` -- please update your code
warn("`cnn_learner` has been renamed to `vision_learner` -- please update your code")
The SparsifyCallback
requires a new argument compared to the Sparsifier
. Indeed, we need to know the pruning schedule that we should follow during training in order to prune the parameters accordingly.
You can use any scheduling function already available in fastai or come up with your own ! For more information about the pruning schedules, take a look at the Schedules section.
= Learner(dls, resnet18(num_classes=2), metrics=accuracy) learn
= SparsifyCallback(sparsity=50, granularity='weight', context='local', criteria=large_final, schedule=cos) sp_cb
10, cbs=sp_cb) learn.fit(
Pruning of weight until a sparsity of [50]%
Saving Weights at epoch 0
| epoch | train_loss | valid_loss | accuracy | time |
|---|---|---|---|---|
| 0 | 0.597135 | 0.568558 | 0.694181 | 00:09 |
| 1 | 0.543739 | 0.527585 | 0.730717 | 00:07 |
| 2 | 0.508932 | 0.507831 | 0.748309 | 00:07 |
| 3 | 0.451922 | 0.454692 | 0.799053 | 00:07 |
| 4 | 0.427453 | 0.434664 | 0.801759 | 00:07 |
| 5 | 0.377218 | 0.402817 | 0.823410 | 00:07 |
| 6 | 0.340924 | 0.410856 | 0.820027 | 00:07 |
| 7 | 0.319503 | 0.363846 | 0.837618 | 00:07 |
| 8 | 0.271233 | 0.377996 | 0.853180 | 00:07 |
| 9 | 0.228336 | 0.334722 | 0.865359 | 00:07 |
Sparsity at the end of epoch 0: [1.22]%
Sparsity at the end of epoch 1: [4.77]%
Sparsity at the end of epoch 2: [10.31]%
Sparsity at the end of epoch 3: [17.27]%
Sparsity at the end of epoch 4: [25.0]%
Sparsity at the end of epoch 5: [32.73]%
Sparsity at the end of epoch 6: [39.69]%
Sparsity at the end of epoch 7: [45.23]%
Sparsity at the end of epoch 8: [48.78]%
Sparsity at the end of epoch 9: [50.0]%
Final Sparsity: [50.0]%
Sparsity in Conv2d 1: 50.00%
Sparsity in Conv2d 7: 50.00%
Sparsity in Conv2d 10: 50.00%
Sparsity in Conv2d 13: 50.00%
Sparsity in Conv2d 16: 50.00%
Sparsity in Conv2d 20: 50.00%
Sparsity in Conv2d 23: 50.00%
Sparsity in Conv2d 26: 50.00%
Sparsity in Conv2d 29: 50.00%
Sparsity in Conv2d 32: 50.00%
Sparsity in Conv2d 36: 50.00%
Sparsity in Conv2d 39: 50.00%
Sparsity in Conv2d 42: 50.00%
Sparsity in Conv2d 45: 50.00%
Sparsity in Conv2d 48: 50.00%
Sparsity in Conv2d 52: 50.00%
Sparsity in Conv2d 55: 50.00%
Sparsity in Conv2d 58: 50.00%
Sparsity in Conv2d 61: 50.00%
Sparsity in Conv2d 64: 50.00%
Surprisingly, our network that is composed of \(50 \%\) of zeroes performs reasonnably well when compared to our plain and dense network.
The SparsifyCallback
also accepts a list of sparsities, corresponding to each layer of layer_type
to be pruned. Below, we show how to prune only the intermediate layers of ResNet-18.
= cnn_learner(dls, resnet18, metrics=accuracy)
learn learn.unfreeze()
= [0, 0, 0, 0, 0, 0, 50, 50, 50, 50, 50, 50, 50, 50, 0, 0, 0, 0, 0, 0] sparsities
= SparsifyCallback(sparsity=sparsities, granularity='weight', context='local', criteria=large_final, schedule=cos) sp_cb
5, cbs=sp_cb) learn.fit_one_cycle(
Pruning of weight until a sparsity of [0, 0, 0, 0, 0, 0, 50, 50, 50, 50, 50, 50, 50, 50, 0, 0, 0, 0, 0, 0]%
Saving Weights at epoch 0
| epoch | train_loss | valid_loss | accuracy | time |
|---|---|---|---|---|
| 0 | 0.748184 | 0.876642 | 0.826116 | 00:08 |
| 1 | 0.422033 | 0.255813 | 0.889039 | 00:08 |
| 2 | 0.262884 | 0.234100 | 0.904601 | 00:08 |
| 3 | 0.132767 | 0.228366 | 0.921516 | 00:08 |
| 4 | 0.075110 | 0.210104 | 0.930311 | 00:08 |
Sparsity at the end of epoch 0: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 4.77, 4.77, 4.77, 4.77, 4.77, 4.77, 4.77, 4.77, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]%
Sparsity at the end of epoch 1: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 17.27, 17.27, 17.27, 17.27, 17.27, 17.27, 17.27, 17.27, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]%
Sparsity at the end of epoch 2: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 32.73, 32.73, 32.73, 32.73, 32.73, 32.73, 32.73, 32.73, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]%
Sparsity at the end of epoch 3: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 45.23, 45.23, 45.23, 45.23, 45.23, 45.23, 45.23, 45.23, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]%
Sparsity at the end of epoch 4: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 50.0, 50.0, 50.0, 50.0, 50.0, 50.0, 50.0, 50.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]%
Final Sparsity: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 50.0, 50.0, 50.0, 50.0, 50.0, 50.0, 50.0, 50.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]%
Sparsity in Conv2d 2: 0.00%
Sparsity in Conv2d 8: 0.00%
Sparsity in Conv2d 11: 0.00%
Sparsity in Conv2d 14: 0.00%
Sparsity in Conv2d 17: 0.00%
Sparsity in Conv2d 21: 0.00%
Sparsity in Conv2d 24: 50.00%
Sparsity in Conv2d 27: 50.00%
Sparsity in Conv2d 30: 50.00%
Sparsity in Conv2d 33: 50.00%
Sparsity in Conv2d 37: 50.00%
Sparsity in Conv2d 40: 50.00%
Sparsity in Conv2d 43: 50.00%
Sparsity in Conv2d 46: 50.00%
Sparsity in Conv2d 49: 0.00%
Sparsity in Conv2d 53: 0.00%
Sparsity in Conv2d 56: 0.00%
Sparsity in Conv2d 59: 0.00%
Sparsity in Conv2d 62: 0.00%
Sparsity in Conv2d 65: 0.00%
On top of that, the SparsifyCallback
can also take many optionnal arguments:
start_sparsity
: the sparsity that the schedule will use as a starting point (default to 0)start_epoch
: the epoch at which the schedule will start pruning (default to 0)end_epoch
: the epoch at which the schedule will stop pruning (default to the training epochs passed infit
)lth
: whether training using the Lottery Ticket Hypothesis, i.e. reset the weights to their original value at each pruning step (more information in the Lottery Ticket Hypothesis section)rewind_epoch
: the epoch used as a reference for the Lottery Ticket Hypothesis with Rewinding (default to 0)reset_end
: whether you want to reset the weights to their original values after training (pruning masks are still applied)save_tickets
: whether to save intermediate winning tickets.model
: pass a model or a part of the model if you don’t want to apply pruning on the whole model trained.round_to
: if specified, the weights will be pruned to the closest multiple value ofround_to
.layer_type
: specify the type of layer that you want to apply pruning to (default to nn.Conv2d)`
For example, we correctly pruned the convolution layers of our model, but we could imagine pruning the Linear Layers of even only the BatchNorm ones !


One of the key features of Jawr is its ability to bundle resources and to provide variation of the same bundle depending on the user request.
A good example of variant bundle is the locale variant bundle generated by the i18n messages script generator (Full documentation of the message generator is here). These bundles have different content depending on the user locale.
So a variant bundle is a bundle which can have different content depending on the user request (cookie, parameter, browser type...). Jawr provides 2 ways for the user to define variant bundles using the public Jawr API :
The main idea to understand is how variants are defined for a bundle. In Jawr, we are using a map of variants for a bundle. This map has as key the type of variant (locale, skin, browser, ...). The value associated is a VariantKeySet. A VariantSet is an object containing the set of values available for a defined variant type, and it contains also the default variant value to use.
I will discuss later about the default value strategy. For the rest of the document, I will notate the VariantSet content as [ "defaultValue", "value1", "value2" ].
So here the VariantSet contains defaultValue, value1 and value2 and the value in bold is the default value.
To be clearer, we will take an example of a bundle name "bundle1.js", which has 2 variant types: locale and browser.
In the following example, we have defined the default value as empty but we could have set it to any value of the variant set.
| Variant type | Variant set | Default variant |
| locale browser | '','fr','en_US' '','IE6','IE7' | '' '' |
In this example, the bundle "bundle1" will have 9 variant combinations :
| Locale variant | Browser variant | Variant suffix |
| '' '' '' 'fr' 'fr' 'fr' 'en_US' 'en_US' 'en_US' | '' 'IE6' 'IE7' '' 'IE6' 'IE7' '' 'IE6' 'IE7' | '@@' '@@IE6' '@@IE7' '@fr@' '@fr@IE6' '@fr@IE7' '@en_US@' '@en_US@IE6' '@en_US@IE7' |
It is important to understand that a bundle is defined with a map of variant, but for a specific request, there will be in one and only one combination of the variant bundle which will match.
You should also note that Jawr uses "@" as separator for variant values. The variant suffix will be appended to the variant bundle name to distinguish the variants of a bundle.
The variant maps can be concatenated. Here are the rules for the concatenation: If the variant map variantMap2 is concatenated to variantMap1. - For each variant type of variant map 2, we will check that the variant type exists in variantMap1. If it doesn't exist we create a new entry in the result map containing as key the variantType and as value the variantSet.
If it exist, we concatenate the VariantSets. The values of the variant sets are concatenated, but if the 2 VariantSets have different default values an exception is thrown, because Jaw is not able to define what is the default value to use for this VariantSet.
| VariantMap1 | VariantMap2 | Concatenation result |
|---|---|---|
| ['locale' : ['', 'en_US' ]] ['locale' : ['', 'en_US' ]] ['locale' : ['', 'en_US' ]; ['browser' : '', 'IE7']] ['locale' : ['', 'en_US' ]; ['browser' : 'IE6', 'IE7']] | [] ['browser' : ['', 'IE6' ]] ['browser' : ['', 'IE6' ]] ['browser' : ['', 'IE6' ]] | ['locale' : ['', 'en_US' ]] ['locale' : ['', 'en_US' ]; 'browser' : ['', 'IE6' ]] ['locale' : ['', 'en_US' ]; 'browser' : ['', 'IE6', 'IE7' ]] An exception is thrown. The default values are not the same. |
Like for the MessageResourceGenerator, you can define your own generator which will can have different variant depending on some context. To define a generator, which is able to generate variant content, the generator must implement the interface net.jawr.web.resource.bundle.generator.variant.VariantResourceGenerator.
This interface defines one method which is :
/** * Returns the map of available variant for a resource. * The key of the map is the type of variant (for ex: locale, skin...) * The values associated are the list of variant for the type. * @param resource the resource name * @return the map of available variant for a resource */ Map getAvailableVariants(String resource);
So this method defines the map of variants available for a specific resource. For the returned map of variants, the key is the variant type, and the value is the VariantSet.
So the bundle will be able to initialize the available variants from the generator defined in the mapping. For instance, if you have a bundle whose the mapping is define like this :
jawr.css.bundle.myBundle.id=/myBundle.css jawr.css.bundle.myBundle.mappings=/css/tree.css,myVariantGen1:/font.css,myVariantGen2:/panel.css
If myVariantGen1 and myVariantGen2 are some custom variant generators, the variant map of the bundle will be the concatenation of the variant map of each bundle.
To be clear, if the variant map for the resource myVariantGen1:/font.css is : [ 'locale' : ['', 'fr_FR']]
And the variant map for the resource myVariantGen2:/panel.css is : [ 'browser' : ['', 'IE6']],
then the variant map for the bundle will be [ 'locale' : ['', 'fr_FR']; 'browser' : ['', 'IE6']].
For more detail about the variant map concatenation, please take a look to the dedicated section.
Jawr allows you to define variant through the post processor also.
To define if a bundle has some variants generated by the postprocessor, Jawr calls the postprocessor with a flag on the postprocess context, to say that it's searching for the bundle variant.
If no variants is define, the Jawr continues as usual. If the postprocessor set some variants in the bundle variant, in that case, Jawr will reprocess the bundle with all the variants.
To be able to handle the variants definition by the postprocessors, 3 methods have been added to the BundleProcessingStatus class.
/** * Returns true if we are searching for post processor variants. * @return true if we are searching for post processor variants. */ public boolean isSearchingPostProcessorVariants(); /** * Add a post process variant * @param variantType the variant type * @param variantSet the variant set */ public void adPostProcessVariant(String variantType, VariantSet variantSet); /** * Add a post process variant * @param variantType the variant type * @param variantSet the variant set */ public void adPostProcessVariant(Map variants);
The sequence diagram above gives an overview of what happens when the postprocessor defines some postprocessor variants.
The ResourceBundleHandler, which is responsible of creating the different bundles at server startup, iterates through each bundle.
As we have seen, Jawr is able to generate different bundle contents depending on a specific variant context.
The role of the VariantResolver is to define for a request, what is the current variant context.
You can only define one VariantResolver for a specific type.
Here is the list of methods to be implemented by a VariantResolver.
/** * Resolves the variant to use for the user associated to a request. * @param request the request * @return A string identifying the variant. */ String getVariantType(); /** * Resolves the variant to use for the user associated to a request. * @param request the request * @return A string identifying the variant. */ String resolveVariant(HttpServletRequest request); /** * Returns the value to use for the variant from the list of variants available * @param variant the value of the variant * @param variantSet the available variantSet * @return the value to use for the variant */ String getAvailableVariant(String variant, VariantSet variantSet);
The Variant resolver is responsible of the default variant strategy. This means that the variant resolver is responsible to define what is the value to use if the variant doesn't exists in the VariantSet. If the VariantResolver doesn't find a suitable variant, it must returns the default variant.
To register your custom variant resolvers, you need to use the following Jawr configuration property :
| Property name | Type | Purpose | Default value |
| jawr.custom.resolvers | Comma separated list. | List of all the VariantResolver implementations you want to use. | None |
Jawr provides by default a variant resolver for CSS skin, which determine the current CSS skin based on the jawr.css.skin.cookie property. You can define your own CSS variant resolver by setting the jawr.css.skin.resolver property to point to your class, which must extend net.jawr.web.resource.bundle.generator.variant.css.AbstractCssSkinVariantResolver. Then you need to define the following method in your class :
/* (non-Javadoc) * @see net.jawr.web.resource.bundle.variant.VariantResolver#resolveVariant(javax.servlet.http.HttpServletRequest) */ public abstract String resolveVariant(HttpServletRequest request);


Deductive Logic
by George William Joseph Stock, M.A.
Part 3: Chapter 6
Additional Information
- Year Published: 1888
- Language: English
- Country of Origin: England
- Source: Stock, G. W. J. (1888). Deductive Logic. Oxford, England; Pembroke College.
-
Readability:
- Flesch–Kincaid Level: 11.0
- Word Count: 1,745
- Genre: Informational
- Keywords: math, math history
- ✎ Cite This
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PART III.—OF INFERENCES
CHAPTER VI.
Of Compound Forms of Immediate Inference.
503. Having now treated of the three simple forms of immediate inference, we go on to speak of the compound forms, and first of
Conversion by Negation.
504. When A and O have been permuted, they become respectively E and I, and, in this form, admit of simple conversion. We have here two steps of inference: but the process may be performed at a single stroke, and is then known as Conversion by Negation. Thus from ‘All A is B’ we may infer ‘No not-B is A,’ and again from ‘Some A is not B’ we may infer ‘Some not-B is A.’ The nature of these inferences will be seen better in concrete examples.
505.
(A) All poets are imaginative.
.’. No unimaginative persons are poets (E).
(O) Some parsons are not clerical.
.’.  The above inferences, when analysed, will be found to resolve themselves into two steps, namely,
(1) Permutation.
(2) Simple Conversion.
(A) All A is B. .’. No A is not-B (by permutation).
.’. No not-B is A (by simple conversion).
(O) Some A is not B. .’. Some A is not-B (by permutation).
.’. Some not-B is A (by simple conversion).
507. The term conversion by negation has been arbitrarily limited to the exact inferential procedure of permutation followed by simple conversion. Hence it necessarily applies only to A and 0 propositions, since these when permuted become E and 1, which admit of simple conversion; whereas E and 1 themselves are permuted into A and 0, which do not. There seems to be no good reason, however, why the term ‘conversion by negation’ should be thus restricted in its meaning; instead of being extended to the combination of permutation with conversion, no matter in what order the two processes may be performed. If this is not done, inferences quite as legitimate as those which pass under the title of conversion by negation are left without a name.
508. From E and 1 inferences may be elicited as follows—
(E) No A is B.
.’. All B is not-A (A).
(I) Some A is B.
.’. Some B is not not-A (O).
(E) No good actions are unbecoming.
.’. All unbecoming actions are not-good (A).
 Some logicians are not unpoetical (O).
 Some statesmen are not practical.
509. When the inferences just given are analysed, it will be found that the process of simple conversion precedes that of permutation.
510. In the case of the E proposition a compound inference can be drawn even in the original order of the processes,
No A is B.
.’. Some not-B is A.
No one who employs bribery is honest. .’. Some dishonest men employ bribery.
The inference here, it must be remembered, does not refer to matter of fact, but means that one of the possible forms of dishonesty among men is that of employing bribery.
511. If we analyse the preceding, we find that the second step is conversion by limitation.
No A is B. .’. All A is not-B (by permutation).
.’. Some not-B is A (by conversion per accidens).
512. From A again an inference can be drawn in the reverse order of conversion per accidens followed by permutation—
All A is B.
.’. Some B is not not-A.
All ingenuous persons are agreeable.
.’. Some agreeable persons are not disingenuous.
513. The intermediate link between the above two propositions is the converse per accidens of the first—’Some B is A.’ This inference, however, coincides with that from 1 ( 508), as the similar inference from E ( 510) coincides with that from 0 ( 506).
514. All these inferences agree in the essential feature of combining permutation with conversion, and should therefore be classed under a common name.
515. Adopting then this slight extension of the term, we define conversion by negation as—A form of conversion in which the converse differs in quality from the convertend, and has the contradictory of one of the original terms.
516. A still more complex form of immediate inference is known as
Conversion by Contraposition.
This mode of inference assumes the following form—
All A is B.
.’. All not-B is not-A.
All human beings are fallible.
.’. All infallible beings are not-human.
517. This will be found to resolve itself on analysis into three steps of inference in the following order—
(1) Permutation.
(2) Simple Conversion.
(3) Permutation.
518. Let us verify this statement by performing the three steps.
All A is B. .’. No A is not-B (by permutation).
.’. No not-B is A (by simple conversion).
.’. All not-B is not-A (by permutation).
All Englishmen are Aryans.
.’. No Englishmen are non-Aryans.
.’. No non-Aryans are Englishmen.
.’. All non-Aryans are non-Englishmen.
519. Conversion by contraposition may be complicated in appearance by the occurrence of a negative term in the subject or predicate or both, e.g.
All not-A is B.
.’. All not-B is A.
Again,
All A is not-B.
.’. All B is not-A.
Lastly,
All not-A is not-B.
.’. All B is A.
520. The following practical rule will be found of use for the right performing of the process—
Transpose the subject and predicate, and substitute for each its contradictory term.
521. As concrete illustrations of the above forms of inference we may take the following—
All the men on this board that are not white are red. .’. All the men On this board that are not red are white.
Again,
All compulsory labour is inefficient.
.’. All efficient labour is free (=non-compulsory).
Lastly,
All inexpedient acts are unjust.
.’. All just acts are expedient.
522. Conversion by contraposition may be said to rest on the following principle—
If one class be wholly contained in another, whatever is external to the containing class is external also to the class contained.
[Illustration]
523. The same principle may be expressed intensively as follows:—
If an attribute belongs to the whole of a subject, whatever fails to exhibit that attribute does not come under the subject.
524. This statement contemplates conversion by contraposition only in reference to the A proposition, to which the process has hitherto been confined. Logicians seem to have overlooked the fact that conversion by contraposition is as applicable to the O as to the A proposition, though, when expressed in symbols, it presents a more clumsy appearance.
Some A is not B.
.’. Some not-B is not not-A.
Some wholesome things are not pleasant.
.’. Some unpleasant things are not unwholesome.
525. The above admits of analysis in exactly the same way as the same process when applied to the A proposition.
Some A is not B.
.’. Some A is not-B (by permutation).
.’. Some not-B is A (by simple conversion).
.’. Some not-B is not not-A (by permutation).
The result, as in the case of the A proposition, is the converse by negation of the original proposition permuted.
526. Contraposition may also be applied to the E proposition by the use of conversion per accidens in the place of simple conversion. But, owing to the limitation of quantity thus effected, the result arrived at is the same as in the case of the O proposition. Thus from ‘No wholesome things are pleasant’ we could draw the same inference as before. Here is the process in symbols, when expanded.
No A is B.
.’. All A is not-B (by permutation).
.’. Some not-B is A (by conversion per accidens).
.’. Some not-B is not not-A (by permutation).
527. In its unanalysed form conversion by contraposition may be defined generally as—A form of conversion in which both subject and predicate are replaced by their contradictories.
528. Conversion by contraposition differs in several respects from conversion by negation.
(1) In conversion by negation the converse differs in quality from the convertend: whereas in conversion by contraposition the quality of the two is the same.
(2) In conversion by negation we employ the contradictory either of the subject or predicate, but in conversion by contraposition we employ the contradictory of both.
(3) Conversion by negation involves only two steps of immediate inference: conversion by contraposition three.
529. Conversion by contraposition cannot be applied to the ordinary E proposition except by limitation ( 526).
From ‘No A is B’ we cannot infer ‘No not-B is not-A.’ For, if we could, the contradictory of the latter, namely, ‘Some not-B is not-A’ would be false. But it is manifest that this is not necessarily false. For when one term is excluded from another, there must be numerous individuals which fall under neither of them, unless it should so happen that one of the terms is the direct contradictory of the other, which is clearly not conveyed by the form of the expression ‘No A is B. ‘No A is not-A’ stands alone among E propositions in admitting of full conversion by contraposition, and the form of that is the same after it as before.
530. Nor can conversion by contraposition be applied at all to I.
[Illustration]
From ‘Some A is B’ we cannot infer that ‘Some not-B is not-A.’ For though the proposition holds true as a matter of fact, when A and B are in part mutually exclusive, yet this is not conveyed by the form of the expression. It may so happen that B is wholly contained under A, while A itself contains everything. In this case it will be true that ‘No not-B is not-A,’ which contradicts the attempted inference. Thus from the proposition ‘Some things are substances’ it cannot be inferred that ‘Some not-substances are not-things,’ for in this case the contradictory is true that ‘No not-substances are not-things’; and unless an inference is valid in every case, it is not formally valid at all.
531. It should be noticed that in the case of the [nu] proposition immediate inferences are possible by mere contraposition without conversion.
All A is all B.
.’. All not-A is not-B.
For example, if all the equilateral triangles are all the equiangular, we know at once that all non-equilateral triangles are also non-equiangular.
532. The principle upon which this last kind of inference rests is that when two terms are co-extensive, whatever is excluded from the one is excluded also from the other.


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> <%= this.options.includeNativeClasses ? 'Include' : 'Don\'t include' %> native classes
> <%= this.options.includeExtends ? 'Include' : 'Don\'t include' %> inheritance
The following is a graph showing dependencies between classes. A class A depends on a class B if any A property or method references the type B or contains an explicit dependency declaration to B using '@depends class B' :


--- layout: post title: rough Storyboards date: '2017-12-30T11:30:30+01:00' categories: - Storyboards picture_url: https://film-Storyboards.tumblr.com/post/169116793872/rough-Storyboards ---
rough Storyboards