Blog post title
Dev Bootcamp! | September 20, 2015
Dev Bootcamp has started and has hit the ground running! After week one there was a decent amount of ground covered and I wanted to review some of the things that were taught within the first week or so. What better way than to begin the blog with the material covered.
Something that has a very clear importance, especially at DBC so far is version control. Version control is a way of tracking your project from the beginning of development and keeping a log of every "version" of the code's development. This can be very beneficial because the nature of how version control is stored. The version control method we've been using so far is Git and it is hosted on Github. What I have noticed from using Git is that it is similar to keeping a timeline of your project and having the ability to go back to previous versions of code if needed. This is useful because if you were testing a new feature you were unsure of or if you had already made a mistake you can go back to previous iterations of the project that still has functional code intact. So far using Git has been pretty intuitive after picking up the basic commands and I am constantly learning new functions that can help further improve your code.


The following details some of the videos and audio items where I've been in where I'm talking about IT.
Why Facilitation is an Undervalued Skill Testers Need Develop
You've seen the t-shirt that proclaims 'another meeting which should have been an email'. In this talk, Mike will look at what makes meetings tick. Indeed, you may find your perception changed as to what productive meeting looks like! Mike will also explore how you can take the reins and make your meetings work better...
Adventures In Infrastructure Testing
More and more we're looking to test not such the software put up on a site, but the infrastructure we've deployed to support it. In this session I look at some tricks to test the infrastructure is working as desired.
Write up here.
AI & Testing & Chatbots ... Oh My!
The Power Of Prediction
Looking at how fundamentally machine learning is about allowing us to predict, and follows models we've used in science for hundreds of years.
Write up here.
Our First Machine Learning Model
Building a 'hello world' equivalent for machine learning, a model to predict how long it will take a toy car to travel a distance. Then looking at how this can get complicated.
Write up here.
Classification With AI
Looking at examples which instead of using regression to predict, use classification to state that a certain case is 'most like'.
Write up here.
Into The Chatbot
Looking into the setup of a working chatbot to understand more what is going on.
Write up here.
Wargames (Screen Testing)
The 1983 movie Wargames was highly influential on me. I'd recieved my first computer the year before, and had taken my first steps into programming (I remember programming my first algorithms to make maths homework easier - oh the joy!)
In this podcast with Dan Billing and Neil Studd, we revisit the film, asking if it still holds up today ...
Biscuit Testing - A Scientific Approach (Testing Talks)
In this podcast from Testing Talks, I was interviewed by Joe Colantonio to explain what I called a biscuit testing
approach to testing systems.
To find out what I mean by that, you'll have to listen to the recording ...
Follow the link to the podcast ...
Better Unit Testing (Test Automation Guild 2018)
My team created this video of an exploration of the Panther fuel calculator problem which we'd previously run as a workshop.
In the video, two of my team show an approach of how to work through such a testing challenge together. We've recieved high praise for this video for showing how pair programming and testing should work.
TEASER: Here be dragons! Taming the technical beasts
The puppet teaser video I created for Lisa Crispin and Janet Gregories course ...
Stop Motion - The Calculation
One of my last collaborations with my friend Violet, who died in 2010, and was a very important character in my life.


{% extends "global/Page.html" %} {% load staticfiles otree %} {% block styles %} {% endblock %} {% block title %} Letter Counting Task {% endblock %} {% block content %}
Time left in this round:
You solved sequences.
Your earnings from "switch mode" are:


This section covers RDF Datasets - an RDF Dataset is the unit that is queried by a SPARQL query. It consists of a default graph, and a number of named graphs.
The graph matching operation
(basic patterns,
OPTIONAL
s, and UNION
s)
work on one RDF graph. This starts out being the default graph of the
dataset but it can be changed by the GRAPH
keyword.
GRAPH uri { ... pattern ... }
GRAPH var { ... pattern ... }
If a URI is given, the pattern will be matched against the graph in the
dataset with that name - if there isn't one, the GRAPH
clause
fails to match at all.
If a variable is given, all the named graphs (not the default graph) are tried. The variable may be used elsewhere so that if, during execution, it's value is already known for a solution, only the specific named graph is tried. The variable may be a blank node which is useful when the application does not care as to which named graph is matched, only that all of them are tried.
GRAPH [] { ... pattern ... }
An RDF dataset can take a variety of forms. Two common setups are to have the default graph being the union (the RDF merge) of all the named graphs and to have the default graph be an inventory of the named graphs (where they came from, when they were read etc). There are no limitations - one graph can be included twice under different names, or some graphs may share triples with others.
In the examples below we will use the following dataset that might occur for an RDF aggregator of book details:
Default graph (ds-dft.ttl):
@prefix dc: <http://purl.org/dc/elements/1.1/> . @prefix xsd: <http://www.w3.org/2001/XMLSchema#> . <ds-ng-1.ttl> dc:date "2005-07-14T03:18:56+0100"^^xsd:dateTime . <ds-ng-2.ttl> dc:date "2005-09-22T05:53:05+0100"^^xsd:dateTime .
Named graph (ds-ng-1.ttl):
@prefix dc: <http://purl.org/dc/elements/1.1/> . [] dc:title "Harry Potter and the Philospher's Stone" . [] dc:title "Harry Potter and the Chamber of Secrets" .
Named graph (ds-ng-2.ttl):
@prefix dc: <http://purl.org/dc/elements/1.1/> . [] dc:title "Harry Potter and the Sorcerer's Stone" . [] dc:title "Harry Potter and the Chamber of Secrets" .
That is, we have two small graphs describing some books, and we have a default graph which records when these graphs were last read
Queries can be run with the command line application (this would be all one line):
java -cp ... arq.sparql --graph ds-dft.ttl --namedgraph ds-ng-1.ttl --namedgraph ds-ng-2.ttl --query query file
Datasets don't have to created just for the lifetime of the query. They can be created and stored in a database, as would be more usual for an aggregator application.
The first example just accesses the default graph (q-ds-1.rq):
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#> PREFIX dc: <http://purl.org/dc/elements/1.1/> PREFIX : <.> SELECT * { ?s ?p ?o }
(The "PREFIX : <.>
" just helps format the output)
---------------------------------------------------------------------- | s | p | o | ====================================================================== | :ds-ng-2.ttl | dc:date | "2005-09-22T05:53:05+01:00"^^xsd:dateTime | | :ds-ng-1.ttl | dc:date | "2005-07-14T03:18:56+01:00"^^xsd:dateTime | ----------------------------------------------------------------------
This is the default graph only - nothing from the named graphs because they
aren't queried unless explicitly indicated via GRAPH
.
We can query for all triples by querying the default graph and the named graphs (q-ds-2.rq):
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#> PREFIX dc: <http://purl.org/dc/elements/1.1/> PREFIX : <.> SELECT * { { ?s ?p ?o } UNION { GRAPH ?g { ?s ?p ?o } } }
giving:
--------------------------------------------------------------------------------------- | s | p | o | g | ======================================================================================= | :ds-ng-2.ttl | dc:date | "2005-09-22T05:53:05+01:00"^^xsd:dateTime | | | :ds-ng-1.ttl | dc:date | "2005-07-14T03:18:56+01:00"^^xsd:dateTime | | | _:b0 | dc:title | "Harry Potter and the Sorcerer's Stone" | :ds-ng-2.ttl | | _:b1 | dc:title | "Harry Potter and the Chamber of Secrets" | :ds-ng-2.ttl | | _:b2 | dc:title | "Harry Potter and the Chamber of Secrets" | :ds-ng-1.ttl | | _:b3 | dc:title | "Harry Potter and the Philospher's Stone" | :ds-ng-1.ttl | ---------------------------------------------------------------------------------------
If the application knows the name graph, it can directly ask a query such as finding all the titles in a given graph (q-ds-3.rq):
PREFIX dc: <http://purl.org/dc/elements/1.1/> PREFIX : <.> SELECT ?title { GRAPH :ds-ng-2.ttl { ?b dc:title ?title } }
Results:
--------------------------------------------- | title | ============================================= | "Harry Potter and the Sorcerer's Stone" | | "Harry Potter and the Chamber of Secrets" | ---------------------------------------------
The name of the graphs to be queried can be determined with the query
itself. The same process for variables applies whether they are part of a
graph pattern or the GRAPH
form. The query below (q-ds-4.rq)
sets a condition on the variable used to select named graphs, based on
information in the default graph.
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#> PREFIX dc: <http://purl.org/dc/elements/1.1/> PREFIX : <.> SELECT ?date ?title { ?g dc:date ?date . FILTER (?date > "2005-08-01T00:00:00Z"^^xsd:dateTime ) GRAPH ?g { ?b dc:title ?title } }
The results of executing this query on the example dataset are the titles in one of the graphs, the one with the date later than 1 August 2005.
----------------------------------------------------------------------------------------- | date | title | ========================================================================================= | "2005-09-22T05:53:05+01:00"^^xsd:dateTime | "Harry Potter and the Sorcerer's Stone" | | "2005-09-22T05:53:05+01:00"^^xsd:dateTime | "Harry Potter and the Chamber of Secrets" | -----------------------------------------------------------------------------------------
FROM
and FROM NAMED
A query execution can be given the dataset when the execution object is built or it can be described in the query itself. When the details are on the command line, a temporary dataset is created but an application can create datasets and then use them in many queries.
When described in the query, FROM url
is used to identify the contents
to be in the default graph. There can be more than one
FROM
clause
and the default graph is result of reading each file into the default
graph. It is the RDF merge of the individual graphs.
Don't be confused by the fact the default graph is described by one
or more URLs in FROM
clauses. This is where the data is
read from, not the name of the graph. As several FROM clauses can be
given, the data can be read in from several places but none of them
become the graph name.
FROM NAMED url
is used to identify a named
graph. The graph is given the name url and the data is read
from that location. Multiple FROM NAMED
clauses cause multiple graphs
to be added to the dataset.
Note that graphs are loaded with the Jena FileManager which includes
the ability to provide alternative locations for files. For example,
the query may have FROM NAMED <http://example/data>
,
and the data actually be read from file:local.rdf
. The
name of the graph will be <http://example/data> as in the query.
For example, the query to find all the triples in both default graph and named graphs could be written as (q-ds-5.rq):
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#> PREFIX dc: <http://purl.org/dc/elements/1.1/> PREFIX : <.> SELECT * FROM <ds-dft.ttl> FROM NAMED <ds-ng-1.ttl> FROM NAMED <ds-ng-2.ttl> { { ?s ?p ?o } UNION { GRAPH ?g { ?s ?p ?o } } }


Although a weekly game is a great way to get to know other players in your city, there is something different about spending a few days telling a longer story through modules or special events. To participate in one of these, take a look at the conventions we help organize throughout the year!
DunDraCon kicks off the year on February 17th to 20th, 2017 at the San Ramon Marriott Hotel.
ConQuest SAC will be held April 7-9, 2017 at the Crowne Plaza Sacramento. It is Sacramento's largest and oldest convention!
KublaCon is our biggest convention, held over Memorial Day weekend. Our event in 2017 will take place May 26th to 29th 2017 at the Hyatt Regency SFO.
PaizoCon, one of the best Pathfinder-focused conventions (since it is hosted by Paizo themselves!) will also take place from May 26th to 29th, 2017 in Seattle, WA.
StocktonCon fills up the Stockton Arena over August 19th and 20th 2017.
Gen Con celebrates its 50th year in Indianapolis, comprising four days from August 17th to 20th 2017. It is one of the most famous gaming conventions, and many hope to play Pathfinder Society in the massive Sagamore Ballroom at least once!
Pacificon Game Expo is the best way to spend your Labor Day weekend, running September 1st through 4th, 2017 at the Santa Clara Marriott Hotel.
Big Bad Con doesn't have too much Pathfinder Society, but this is actually a great opportunity to try all kinds of other games! This year's convention is October 14th to 16th 2016 at the Walnut Creek Marriott.
ConQuest Avalon is an amazing show that's the second-half of ConQuest SAC. It is hosted in the Crowne Plaza Sacramento from November 11th to 13th, 2016!
GobbleCon gives gamers a chance to recover from the Thanksgiving binge by running many games over Thanksgiving weekend! Hosted by the same organizers who run KublaCon, it takes place in Burlingame's Hyatt Regency San Francisco Airport from November 25th to 27th, 2016.


Welcome to NeoCrypto.io Trading Chat
A trading community for crypto & forex powered by [matrix]
Matrix Community
Click to join the community on Matrix!
Join via Discord Instead
Our Matrix community is bridged with our Discord server, so participation is possible on both. Click to join us on Discord
Some of our chat channels
#General
Discussion of all things Off Topic
#BTC-ETH
Bitcoin and Ethereum price discussion
#Alts
Altcoin price discussion
#non-crypto-trading
Forex, Stocks, & Commodities


Our Story
We're cooking delecious foods since AU'18 Spring
EST. 1879
Established in 2017, as a start up, we now own more than 200 outlets in 70+ cities, and are still in our developing stage to become the best in the world.
Cooking Traditions
Having the best cooking hands in the country, we aim at spreading happiness and smile. And what else could be a better way than serving a yummy pizza.
Food Quality
Despite of the affordable cost, we never compromise on quality, for customer's happy and healthy tummy being our topmost priority.


Button
Basics
Used HTML tags
Colors
Styles
Color variants
Light versions
Sizes
Basic
Multiple buttons at once
Multiple buttons at once with exception
Displays (is-fullwidth)
Styles
Outlined (is-outlined)
Inverted (is-inverted)
Invert Outlined (is-inverted is-outlined)
Rounded (is-rounded)
States
Loading (is-loading)
Static (is-static)
Disabled ([disabled])
With icons
★ Auto squared
Button group
Button addons (field has-addons)
Button group with addons
List of buttons


When adding securities from the universe, some algorithms need raw or partially adjusted price data. This can be controlled by the SetSecurityInitializer()
method. With this method, you can apply any fill model or special data requests on a per-security basis.
The most common request is for raw, unadjusted price information. This can be achieved by combining the SetSecurityInitializer method with $[SetDataNormalizationMode(),M:QuantConnect.Securities.Security.SetDataNormalizationMode] method. As each security is added to the universe, its data will be set to any of the $[DataNormalizationMode,T:QuantConnect.DataNormalizationMode] enum values.
//In Initialize SetSecurityInitializer(CustomSecurityInitializer); private void CustomSecurityInitializer(Security security) { //Initialize the security with raw prices security.SetDataNormalizationMode(DataNormalizationMode.Raw); }
#In Initialize self.SetSecurityInitializer(self.CustomSecurityInitializer) def CustomSecurityInitializer(self, security): '''Initialize the security with raw prices''' security.SetDataNormalizationMode(DataNormalizationMode.Raw)
For simple requests, you can use the functional implementation of the security initializer. This lets you configure and return the security object with 1 line of code:
//Most common request; requesting raw prices for universe securities. SetSecurityInitializer(x => x.SetDataNormalizationMode(DataNormalizationMode.Raw));
# Most common request; requesting raw prices for universe securities. self.SetSecurityInitializer(lambda x: x.SetDataNormalizationMode(DataNormalizationMode.Raw))


Class API
Inheritance
Namespace: Kiln
Assembly: Assembly-CSharp.dll
Syntax
public class API
Methods
| Improve this Doc View SourceConsumePurchasedProduct(String)
It consumes an already purchased consumable product. If the platform doesn't support purchases the Task will get an Exception
Declaration
public static Task ConsumePurchasedProduct(string purchaseToken)
Parameters
| Type | Name | Description |
|---|---|---|
| System.String | purchaseToken | Token associated with the Kiln.Purchase |
Returns
| Type | Description |
|---|---|
| System.Threading.Tasks.Task | Task |
DestroyBannerAd(String)
It destroys the banner ad. If the platform doesn't support banner ads (check SupportsBannerAds()), the identifier is invalid or the banner hasn't been previously loaded (check LoadBannerAd(String, BannerPosition, BannerSize)) the Task will get an Exception.
Declaration
public static Task DestroyBannerAd(string identifier)
Parameters
| Type | Name | Description |
|---|---|---|
| System.String | identifier | The banner ad identifier |
Returns
| Type | Description |
|---|---|
| System.Threading.Tasks.Task | Task |
GetAvailableProducts()
Retrieves a list of all available for purcharse Kiln.Product. If the platform doesn't support In App Purchases (see SupportsIAP()) the Task will get an Exception
Declaration
public static Task<List<IProduct>> GetAvailableProducts()
Returns
| Type | Description |
|---|---|
| System.Threading.Tasks.Task<System.Collections.Generic.List<IProduct>> | Task that'll return a list of Kiln.Product upon completion |
GetAvailableProducts(List<String>)
Retrieves a filtered list of available for purcharse Kiln.Product. If the platform doesn't support In App Purchases (see SupportsIAP()) the Task will get an Exception
Declaration
public static Task<List<IProduct>> GetAvailableProducts(List<string> ids)
Parameters
| Type | Name | Description |
|---|---|---|
| System.Collections.Generic.List<System.String> | ids | List of identifiers to get in the list of Kiln.Product response |
Returns
| Type | Description |
|---|---|
| System.Threading.Tasks.Task<System.Collections.Generic.List<IProduct>> | Task that'll return a list of Kiln.Product upon completion |
GetPurchases()
Retrieves a list of active Kiln.Purchase. By active we mean that they are either for Non Consumables Products, or Consumables Products that have not been consumed yet. If the platform doesn't support In App Purchases (see SupportsIAP()) the Task will get an Exception
Declaration
public static Task<List<IPurchase>> GetPurchases()
Returns
| Type | Description |
|---|---|
| System.Threading.Tasks.Task<System.Collections.Generic.List<IPurchase>> | Task that'll return a list of Kiln.Product upon completion |
GetScores(String, Int32, Int32)
Retrieves a list of Kiln.LeaderboardEntry for all players. If the platform doesn't support leaderboards (check SupportsLeaderboards()) the Task will get an Exception
Declaration
public static Task<List<ILeaderboardEntry>> GetScores(string id, int count, int offset)
Parameters
| Type | Name | Description |
|---|---|---|
| System.String | id | Leaderboard identifier |
| System.Int32 | count | Amount of Kiln.LeaderboardEntry to retrieve |
| System.Int32 | offset | Offset from the top of the Leaderboard that Kiln.LeaderboardEntry will be fetched from |
Returns
| Type | Description |
|---|---|
| System.Threading.Tasks.Task<System.Collections.Generic.List<ILeaderboardEntry>> | Task that'll return a list of Kiln.LeaderboardEntry upon completion |
GetUserScore(String)
Retrieves the current Kiln.Player's Kiln.LeaderboardEntry. If the platform doesn't support Leaderboards the Task (check SupportsLeaderboards()) will get an Exception
Declaration
public static Task<ILeaderboardEntry> GetUserScore(string id)
Parameters
| Type | Name | Description |
|---|---|---|
| System.String | id | The Leaderboard identifier |
Returns
| Type | Description |
|---|---|
| System.Threading.Tasks.Task<ILeaderboardEntry> | Task that'll return a Kiln.LeaderboardEntry upon completion |
HideBannerAd(String)
Hides a Banner Ad. If the platform doesn't support Banner Ads (check SupportsBannerAds()), an invalid Banner id is provided, or the Banner Ad has not been previously loaded (check LoadBannerAd(String, BannerPosition, BannerSize)) the Task will get an Exception
Declaration
public static Task HideBannerAd(string identifier)
Parameters
| Type | Name | Description |
|---|---|---|
| System.String | identifier | The Banner Ad identifier |
Returns
| Type | Description |
|---|---|
| System.Threading.Tasks.Task | Task |
Init()
Initializes the SDK
Declaration
public static Task Init()
Returns
| Type | Description |
|---|---|
| System.Threading.Tasks.Task | Task that'll return upon initializing all modules in the SDK |
LoadBannerAd(String, BannerPosition, BannerSize)
Loads a Banner Ad. If the current platform doesn't support Banner Ads (check SupportsBannerAds()), the provided identifier is invalid or the Banner Ad has already been loaded the Task will get an Exception
Declaration
public static Task LoadBannerAd(string identifier, BannerPosition position, BannerSize maxSize = BannerSize.Width320Height50)
Parameters
| Type | Name | Description |
|---|---|---|
| System.String | identifier | The Banner Ad identifier |
| BannerPosition | position | Where in the screen to position the Banner Ad. See BannerPosition |
| BannerSize | maxSize | The maximum size of the Banner Ad to load. See BannerSize. |
Returns
| Type | Description |
|---|---|
| System.Threading.Tasks.Task | Task |
LoadInterstitialAd(String)
Loads an Interstitial Ad. If the current platform doesn't support Interstitial Ads (check SupportsInterstitialAds()), is provided an invalid identifier or there's a problem loading the ad, the Task will get an Exception
Declaration
public static Task LoadInterstitialAd(string identifier)
Parameters
| Type | Name | Description |
|---|---|---|
| System.String | identifier | The Interstitial Ad identifier |
Returns
| Type | Description |
|---|---|
| System.Threading.Tasks.Task | Task |
LoadRewardedAd(String)
Loads a Rewarded Ad. If the current platform doesn't support Rewarded Ads (check SupportsRewardedAds()), is provided with an invalid identifier or there's a problem loading the ad, the Task will get an Exception
Declaration
public static Task LoadRewardedAd(string identifier)
Parameters
| Type | Name | Description |
|---|---|---|
| System.String | identifier | The Rewarded Ad identifier |
Returns
| Type | Description |
|---|---|
| System.Threading.Tasks.Task | Task |
PurchaseProduct(String, String)
Launches the purchase flow of a Kiln.Product. If the platform doesn't support In App Purchases (check SupportsIAP()) the Task will get an Exception
Declaration
public static Task<IPurchase> PurchaseProduct(string productID, string payload)
Parameters
| Type | Name | Description |
|---|---|---|
| System.String | productID | Identifier of the Kiln.Product to be purchased |
| System.String | payload | Additional data to send with the purchase |
Returns
| Type | Description |
|---|---|
| System.Threading.Tasks.Task<IPurchase> | Task that'll return a Kiln.Purchase upon successful completion |
SetUserScore(String, Double, Object)
Sets the current Kiln.Player's score. If the platform doesn't support Leaderboards (check SupportsLeaderboards() the Task will get an Exception
Declaration
public static Task SetUserScore(string id, double score, object data = null)
Parameters
| Type | Name | Description |
|---|---|---|
| System.String | id | Leaderboard identifier |
| System.Double | score | Score to set |
| System.Object | data | (Optional) If the platform supports it, additional data to set. |
Returns
| Type | Description |
|---|---|
| System.Threading.Tasks.Task | Task |
ShowBannerAd(String)
Shows a Banner Ad. If the platform doesn't support Banner Ads (check SupportsBannerAds()), an invalid identifier is provided or the Banner Ad is not loaded (check LoadBannerAd(String, BannerPosition, BannerSize)), the Task will get an Exception
Declaration
public static Task ShowBannerAd(string identifier)
Parameters
| Type | Name | Description |
|---|---|---|
| System.String | identifier | The Banner Ad identifier |
Returns
| Type | Description |
|---|---|
| System.Threading.Tasks.Task | Task |
ShowInterstitialAd(String)
Shows an Interstitial Ad. If the platform doesn't support Interstitial Ads (check SupportsInterstitialAds()), an invalid identifier is provided or the Interstitial Ad is not loaded (check LoadInterstitialAd(String)), the Task will get an Exception
Declaration
public static Task ShowInterstitialAd(string identifier)
Parameters
| Type | Name | Description |
|---|---|---|
| System.String | identifier | The Interstitial Ad identifier |
Returns
| Type | Description |
|---|---|
| System.Threading.Tasks.Task | Task |
ShowPlatformLeaderboardUI()
Shows native Leaderboard UI if supported (check SupportsPlatformLeaderboardUI()). Otherwise returns a Exception
Declaration
public static Task ShowPlatformLeaderboardUI()
Returns
| Type | Description |
|---|---|
| System.Threading.Tasks.Task | Task |
ShowRewardedAd(String)
Shows a Rewarded Ad. If the platform doesn't support Rewarded Ads (check SupportsRewardedAds()), an invalid identifier is provided or the Rewarded Ad hasn't been loaded (check LoadRewardedAd(String)) the Task will get an Exception
Declaration
public static Task<IRewardedAdResponse> ShowRewardedAd(string identifier)
Parameters
| Type | Name | Description |
|---|---|---|
| System.String | identifier | The Rewarded Ad identifier |
Returns
| Type | Description |
|---|---|
| System.Threading.Tasks.Task<IRewardedAdResponse> | Task that'll return a Kiln.RewardedAdResponse upon completion |
SubmitAnalyticsEvent(String)
Sends an Analytics Event.
Declaration
public static void SubmitAnalyticsEvent(string identifier)
Parameters
| Type | Name | Description |
|---|---|---|
| System.String | identifier | The Event identifier |
SupportsBannerAds()
Checks for Banner Ads support
Declaration
public static bool SupportsBannerAds()
Returns
| Type | Description |
|---|---|
| System.Boolean |
|
SupportsIAP()
Checks for In App Purchases support
Declaration
public static bool SupportsIAP()
Returns
| Type | Description |
|---|---|
| System.Boolean |
|
SupportsInterstitialAds()
Checks for Interstitial Ads support
Declaration
public static bool SupportsInterstitialAds()
Returns
| Type | Description |
|---|---|
| System.Boolean |
|
SupportsLeaderboards()
Checks for Leaderboards support
Declaration
public static bool SupportsLeaderboards()
Returns
| Type | Description |
|---|---|
| System.Boolean |
|
SupportsPlatformLeaderboardUI()
Checks for Native Leaderboard UI support
Declaration
public static bool SupportsPlatformLeaderboardUI()
Returns
| Type | Description |
|---|---|
| System.Boolean |
|
SupportsRewardedAds()
Checks for Rewarded Ads support
Declaration
public static bool SupportsRewardedAds()
Returns
| Type | Description |
|---|---|
| System.Boolean |
|


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Laurel Marie, a Jamaica, Queens resident of 30 years was one of many whose home flooded during Hurricane Ida. Image credit: Treashure Lewis
New York City has withstood a lot over the past year. Besides the everstanding pandemic, the newest battle for us to overcome seems to be hurricanes. Hurricane Ida flooded many people's homes, particularly their basements. This left many who rented basement apartments in a house either without a home, without their belongings, or, unfortunately, without their life. Laurel Marie, a longtime homeowner on 171st Street in Jamaica, Queens, is one of many residents whose homes flooded last month when Hurricane Ida released violent rain in the New York area. Though her basement did not receive extreme damage, the experience made her realize the importance of flood insurance. “ I have lived here since the 90s, and have never had flood insurance. Ida has opened my eyes,” said Marie.
FEMA's New Flood Insurance Policy: Risk Rating 2.0
In response to the increase in flooding, the Federal Emergency Management Agency (FEMA) has decided to replace their old policy, "Preferred Risk Policy", with a new policy, " Risk Rating 2.0". Their old policy, "Preferred Risk Policy", used a separate technique for coming up with premiums for homes outside of the coastal floodplain.


| 1 | package fr.sii.ogham.assertion.email; | |
| 2 | ||
| 3 | import static fr.sii.ogham.assertion.AssertionHelper.assertThat; | |
| 4 | ||
| 5 | import java.util.List; | |
| 6 | ||
| 7 | import javax.mail.Message; | |
| 8 | ||
| 9 | import org.hamcrest.Matcher; | |
| 10 | ||
| 11 | import fr.sii.ogham.assertion.HasParent; | |
| 12 | ||
| 13 | public class EmailsAssert<P> extends HasParent<P> { | |
| 14 | /** | |
| 15 | * The list of messages that will be used for assertions | |
| 16 | */ | |
| 17 | private final List<? extends Message> actual; | |
| 18 | ||
| 19 | public EmailsAssert(List<? extends Message> actual, P parent) { | |
| 20 | super(parent); | |
| 21 | this.actual = actual; | |
| 22 | } | |
| 23 | ||
| 24 | /** | |
| 25 | * Assertion on the number of received messages: | |
| 26 | * | |
| 27 | * <pre> | |
| 28 | * .count(is(1)) | |
| 29 | * </pre> | |
| 30 | * | |
| 31 | * @param matcher | |
| 32 | * the assertion applied on the number of received messages | |
| 33 | * @return the fluent API for chaining assertions on received messages | |
| 34 | */ | |
| 35 | public EmailsAssert<P> count(Matcher<Integer> matcher) { | |
| 36 |
3
1. count : All methods instructions replaced by: return null; → NO_COVERAGE 2. count : All methods instructions replaced by: return null; → SURVIVED 3. count : All methods instructions replaced by: return null; → KILLED |
assertThat(actual.size(), matcher); |
| 37 | return this; | |
| 38 | } | |
| 39 | ||
| 40 | /** | |
| 41 | * Access a particular message to write assertions for it: | |
| 42 | * | |
| 43 | * <pre> | |
| 44 | * .message(0).subject(is("foobar")) | |
| 45 | * </pre> | |
| 46 | * | |
| 47 | * You can use this method to chain several assertions on different | |
| 48 | * messages: | |
| 49 | * | |
| 50 | * <pre> | |
| 51 | * .message(0).subject(is("foobar")) | |
| 52 | * .and() | |
| 53 | * .message(1).subject(is("toto")) | |
| 54 | * </pre> | |
| 55 | * | |
| 56 | * | |
| 57 | * @param index | |
| 58 | * the index of the message in the received list | |
| 59 | * @return the fluent API for chaining assertions on received messages | |
| 60 | */ | |
| 61 | public EmailAssert<EmailsAssert<P>> message(int index) { | |
| 62 |
2
1. message : All methods instructions replaced by: return null; → NO_COVERAGE 2. message : All methods instructions replaced by: return null; → KILLED |
return new EmailAssert<>(actual.get(index), this); |
| 63 | } | |
| 64 | ||
| 65 | /** | |
| 66 | * Fluent API to write assertions on every received messages. Any defined | |
| 67 | * assertion will be applied on every message: | |
| 68 | * | |
| 69 | * <pre> | |
| 70 | * .receivedMessages().forEach().subject(is("foobar")) | |
| 71 | * </pre> | |
| 72 | * | |
| 73 | * Will check that subject of every message is "foobar". | |
| 74 | * | |
| 75 | * <p> | |
| 76 | * You can use this method to factorize several assertions on a message and | |
| 77 | * then make dedicated assertions on some messages: | |
| 78 | * | |
| 79 | * <pre> | |
| 80 | * .receivedMessages().forEach().subject(is("foobar")) | |
| 81 | * .and() | |
| 82 | * .message(0).body().contentAsString(is("toto")) | |
| 83 | * </pre> | |
| 84 | * | |
| 85 | * Will check that subject of every message is "foobar" and that body of | |
| 86 | * first received message is "toto". | |
| 87 | * | |
| 88 | * @return the fluent API for chaining assertions on received messages | |
| 89 | */ | |
| 90 | public EmailAssert<EmailsAssert<P>> forEach() { | |
| 91 |
2
1. forEach : All methods instructions replaced by: return null; → NO_COVERAGE 2. forEach : All methods instructions replaced by: return null; → KILLED |
return new EmailAssert<>(actual, this); |
| 92 | } | |
| 93 | ||
| 94 | } | |
Mutations | ||
| 36 |
1.1 2.2 3.3 |
|
| 62 |
1.1 2.2 |
|
| 91 |
1.1 2.2 |


God's Own Country has a plethora of artforms, rituals and festivals that have been in existence for centuries and proclaim its exotic culture. Such a rich and old tradition makes this land unique.Each and every Districtis unique in its own way.Kerala is one of the prominent tourist destinations of India, with backwaters, hill stations, beaches, Ayurvedic tourism and tropical greenery as its major attractionsThe state has the highest media exposure in India with newspapers publishing in nine languages , including malayalam and english.The production of pepper and natural rubber in Kerala contributes significantly to the total national output. In the agricultural sector, coconut,tea, coffee, cashew and spices


Software Engineer with 5 years of experience.
Over the years, I have worked as
Now i am working with Dev bootcamp to become an aspiring developer. Checkout my blog, it's a work in progress.
This site will never be a finished product, so please forgive the little inconsistencies. If it’s an obvious bug, I’d love it if you let me know.


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EuroLeague All-Decade Nominee: Dimitris Diamantidis
The emblematic figure of Panathinaikos’ modern history couldn’t be missing from the All-Decade Nominees.
By Eurohoops team/<EMAIL_ADDRESS>Dimitris Diamantidis set an example for the future generations with his leadership and basketball IQ that paced Panathinaikos to many great achievements through the 2010-2020 decade. Arguably the biggest star of the Turkish Airlines EuroLeague at the start of the 2010s, Diamantidis soon led Panathinaikos Athens to its sixth continental title in unprecedented fashion.
OUTSTANDING ACHIEVEMENTS
- EuroLeague Champion 2007, 2009, 2011
- Final Four MVP 2007, 2011
- EuroLeague MVP 2010-11
- All-EuroLeague First Team 2006-07, 2010-11, 2011-12, 2012-13
- Best Defender 2005, 2006, 2007, 2008, 2009, 2011
- EuroLeague February MVP 2010-11
- EuroLeague March/April MVP 2011-12
- Championship Game, Single Game Record Assist (9)
- Final Four All-Time Leader Average Assists (4.6), Steals (1.8)
- EuroLeague All-Time Leader Steals (434)
- Led the EuroLeague in assists 2010-11 (6.23), 2013-14 (6.21)
- Led the EuroLeague in steals 2011-12 (1.48)


Suppose we regress a response on covariates for . In linear regression, we get the model
How do we interpret ? Does it mean that the th covariate is uncorrelated with the response? The answer is no! It means the th covariate is uncorrelated with the response after we control for the effects of the other covariates. A neat way to see this is to note the following way to compute the coefficient . For notational convenience, we assume .
Regress against the covariates , and compute the residuals. These residuals describe the part of the response not explained by regression on the covariates . Regress against the covariates , and get the residuals. These residuals describe the part of the regressor not explained by the covariates . We form an added-variable plot for after by plotting the residuals from step 1 against the residuals from step 2. The slope of the regression line in the added-variable plot, which describes the relation between and after controlling for the other covariates, is equal to the coefficient . For a concrete example, suppose we regress a person’s income against their height and age, and find that is not significantly different from 0. We should interpret this as there is no relationship between income and height, after we adjust for age.
Written on April 13th, 2018 by Scott Roy


Amy Hart is friendly with Molly-Mae Hague amid cattiest Love Island girl feud ever
Amy stayed friendly with Molly-Mae despite the major rift which tore the Love Island girls apart from each other
by Lily Waddell, https://www.mirror.co.uk/authors/lily-waddell/Amy Hart has made no secret of her friendship with Molly-Mae Hague despite the other girls feelings towards the Pretty Little Thing ambassador.
The former cabin crew member never let it bother her Molly-Mae didn't get on with the likes of Anna Vakili and Amber Gill, even though she remained friends with them herself.
In the snap, Amy and Molly-Mae looked like BFFs while leaning in to capture the gorgeous selfie on camera for social media.
The blonde bombshells put on a friendly display when they were reunited for a work commitment, in London on Thursday.
Amy captioned the post: "With my girl."
The air hostess appears to catch up with Molly-Mae every so often when they catch up between the model's ever busy work schedule.
Amy has been vocal about her friendship with Molly-Mae in the past.
The air hostess broke her silence on the rift rumours during a cosy exclusive chat with The Mirror at Mayfair's Hotel Bar, in London.
Also, the former cabin crew star shared the real unspoken reason why Molly-Mae didn't make Anna Vakili's Love Island reunion sleepover.
Amy spat it was "out of order" when she come under the attack of trolls because they immediately assumed Molly-Mae, Maura Higgins and Lucie Donlan were not invited.
The bikini beauty also set the record straight as although she had chosen to share the photographs, she hadn't arranged the sleepover herself.
Amy said: "I got so many comments, where's Molly? Where's Maura? Where's Lucie? You lot [trolls] were out of order. It wasn't my sleepover. [It was Anna's.] I posted the picture.
"If you had a friendship group of 36 people or 18 girls, how often would you all get together? Say we're shift workers, we don't have 9-5 schedules."


We have 101 brilliant tips for family fun right here come rain or sun (or both), and they're all absolutely free...
View ProjectWith the internet, videos, Nintendos and so on around these days, it's easy to forget that you can have fun and a relatively quiet time by playing cards. Perfect for sitting in the shade in the garden or under the table in a den when it is raining, card games are suitable for children from 5 onwards, and great fun to play with grandparents, friends or as a family. We've got some great ideas for easy card games for kids here. Why not try them out?
View ProjectLots of children love to get messy, covering themselves in paint, digging in dirt and running their fingers through sticky stuff, until there is more mess on them than they ever had to start with. Mums love it less so - and that is probably an understatement! We do love our children though so why not use these messy play ideas.
View Project


--- layout: posts title: Spring 2017 Courses author: Sophie Engle icon: fas fa-university ---
We will be offering the following courses during the Spring 2017 semester:
CS 360 Data Visualization
Sophie Engle • MWF 2:15pm–3:20pm • LS 307
CS 486/686 Special Topics: Human Computer Interaction
Beste Yuksel • TR 12:45pm–2:30pm • LS 307
As usual, you may also approach any of us to participate in a directed study if you are interested in visualization research.


Sample presentation title
Next steps will show some js animation variants
Animation with Raphaël in svg
Animation with move.js
Animation with JSTween
not sure how to insert looping
Animation with TweenJS
Your browser is sooooo old ! Download a modern one now !
Finita la comedia


JavaScript
we create variables whenever we want to store the value of something so that we can re-use that value later by simply referencing the variable name
var message = "Hello class";
until otherwise assigned `message` will have the value of "Hello class"
a variable can be assigned to one of the JavaScript data types...
var age = 51;
var name = "Baldwin";
var isRaining = false;
var students = ['jd','reg','lexa','ariel','harry'];
var fewd15 = {
instructor: 'brandon',
students: ['jd','reg','lexa','ariel','harry'],
location: 'classroom 1',
capacity: 15
} ;


Zhao Liying
Actress
Zhao Liying
Actress
Zhao Liying
Actress
Zhao Liying
Actress
Zhao Liying
Actress
Zhao Liying
Actress
Zhao Liying
Actress
Zhao Liying
Actress
Zhao Liying
Actress


Docker is a software technology to create, deploy and run an application or group of applications in containers.  That includes the operating system and any programs on that operating system that are needed to run the application.
Docker is extremely useful for deploying scaling services to production. You can launch new instances which only have to pull your Docker image down and run the entry command to get a running application. It is also useful for developing new applications.
First we want to open the terminal to start the further program.
Type up docker ps -a to see what the container are running from the previews project.
Type up docker run -d -P –name web nginx using these switches to run site on the background.
Type up docker port web to check for the port that you received by running and look at last command.
You will get 443/tcp -> <IP_ADDRESS>:32780 and 80/tcp -> <IP_ADDRESS>: 32781
Type up docker-machine IP default for the further step
You will get <IP_ADDRESS> this is information to run in the browser. Use <IP_ADDRESS> and port 32781: <IP_ADDRESS>: 32781 Screen will appear on the browser that mean web server is start working.


DLF IPL 2009
*Winner: Deccan Chargers
*Team Squad: (Captain - Adam Gilchrist)
(Click the above pic for viewing the Highlights of the IPL Final 2009)
Adam Gilchrist, Azhar Bilakhia, Halhadar Das, Herschelle Gibbs, Ryan Harris, Doddapaneni Kalyankrishna, Pragyan Ojha, Sarvesh Kumar, Shoaib Ahmed, RP Singh, Scott Styris, Andrew Symonds,
Venugopal Rao, Arjun Yadav, Abhinav Kumar, Manvinder Bisla, Fidel Edwards, Harmeet Singh, Jaskaran Singh, VVS Laxman, Dwaraka Ravi Teja, Rohit Sharma, Chamara Silva, Dwayne Smith,
Tirumalsetti Suman, Chaminda Vaas, Paidikalva Vijaykumar, Nuwan Zoysa
*Runner ups: Royal Challengers Bangalore
*Team Squad: (Captain - Anil Kumble)
Anil Kumble, Balachandra Akhil, Sreenath Aravind, Saurabh Bandekar, Rajesh Bishnoi, Nathan Bracken, Gaurav Dhiman, Dillon du Preez, Shreevats Goswami, Wasim Jaffer, Sunil Joshi, Virat Kohli,
Praveen Kumar, Manish Pandey, Udit Patel, Jitendra Arun Patil, RK Sabharwal, Dale Steyn, Robin Uthappa, Vinay Kumar, Tinu Yohannan, Rangaraj Suthesh, KP Appanna, Jagadeesh Arunkumar,
Raajoo Bhatkal, Mark Boucher, Bharath Chipli, Rahul Dravid, CM Gautam, Kedar Jadhav, Ishank Jaggi, Jacques Kallis, Bhuvneshwar Kumar, Abhimanyu Mithun, Pankaj Singh, Devraj Patil,
Jesse Ryder, Karn Sharma, Ross Taylor, Roelof van der Merwe, Cameron White
*Orange Cap Winner: Mathew Hayden(AUS) : 12 Matches 572 Runs - Chennai Super Kings
(Click for viewing the video 'Best of Mathew Hayden 2009')
*Purple Cap Winner: R. P. Singh(IND) : 16 Matches 23 Wickets - Deccan Chargers
(Click for viewing the video 'Race for the Purple cap 2009')
*Player of the Series: Adam Gilchrist - Deccan Chargers


Base class for sparse matrices#
- class sage.matrix.matrix_sparse.Matrix_sparse#
Bases:
Matrix
- antitranspose()#
Return the antitranspose of
self
, without changingself
.This is the mirror image along the other diagonal.
EXAMPLES:
sage: M = MatrixSpace(QQ, 2, sparse=True) sage: A = M([1,2,3,4]); A [1 2] [3 4] sage: A.antitranspose() [4 2] [3 1]
See also
- apply_map(phi, R=None, sparse=True)#
Apply the given map
phi
(an arbitrary Python function or callable object) to this matrix.If
R
is not given, automatically determine the base ring of the resulting matrix.INPUT:
phi
– arbitrary Python function or callable objectR
– (optional) ringsparse
– (optional, defaultTrue
) whether to return a sparse or a dense matrix
OUTPUT: a matrix over
R
EXAMPLES:
sage: m = matrix(ZZ, 10000, {(1,2): 17}, sparse=True) sage: k.<a> = GF(9) sage: f = lambda x: k(x) sage: n = m.apply_map(f) sage: n.parent() Full MatrixSpace of 10000 by 10000 sparse matrices over Finite Field in a of size 3^2 sage: n[1,2] 2
An example where the codomain is explicitly specified.
sage: n = m.apply_map(lambda x:x%3, GF(3)) sage: n.parent() Full MatrixSpace of 10000 by 10000 sparse matrices over Finite Field of size 3 sage: n[1,2] 2
If we did not specify the codomain, the resulting matrix in the above case ends up over \(\ZZ\) again:
sage: n = m.apply_map(lambda x:x%3) sage: n.parent() Full MatrixSpace of 10000 by 10000 sparse matrices over Integer Ring sage: n[1,2] 2
If self is subdivided, the result will be as well:
sage: m = matrix(2, 2, [0, 0, 3, 0]) sage: m.subdivide(None, 1); m [0|0] [3|0] sage: m.apply_map(lambda x: x*x) [0|0] [9|0]
If the map sends zero to a non-zero value, then it may be useful to get the result as a dense matrix.
sage: m = matrix(ZZ, 3, 3, [0] * 7 + [1,2], sparse=True); m [0 0 0] [0 0 0] [0 1 2] sage: parent(m) Full MatrixSpace of 3 by 3 sparse matrices over Integer Ring sage: n = m.apply_map(lambda x: x+polygen(QQ), sparse=False); n [ x x x] [ x x x] [ x x + 1 x + 2] sage: parent(n) Full MatrixSpace of 3 by 3 dense matrices over Univariate Polynomial Ring in x over Rational Field
- apply_morphism(phi)#
Apply the morphism
phi
to the coefficients of this sparse matrix.The resulting matrix is over the codomain of
phi
.INPUT:
phi
– a morphism, sophi
is callable andphi.domain()
andphi.codomain()
are defined. The codomain must be a ring.
OUTPUT: a matrix over the codomain of
phi
EXAMPLES:
sage: m = matrix(ZZ, 3, range(9), sparse=True) sage: phi = ZZ.hom(GF(5)) sage: m.apply_morphism(phi) [0 1 2] [3 4 0] [1 2 3] sage: m.apply_morphism(phi).parent() Full MatrixSpace of 3 by 3 sparse matrices over Finite Field of size 5
- augment(right, subdivide=False)#
Return the augmented matrix of the form:
[self | right].
EXAMPLES:
sage: M = MatrixSpace(QQ, 2, 2, sparse=True) sage: A = M([1,2, 3,4]) sage: A [1 2] [3 4] sage: N = MatrixSpace(QQ, 2, 1, sparse=True) sage: B = N([9,8]) sage: B [9] [8] sage: A.augment(B) [1 2 9] [3 4 8] sage: B.augment(A) [9 1 2] [8 3 4]
A vector may be augmented to a matrix.
sage: A = matrix(QQ, 3, 4, range(12), sparse=True) sage: v = vector(QQ, 3, range(3), sparse=True) sage: A.augment(v) [ 0 1 2 3 0] [ 4 5 6 7 1] [ 8 9 10 11 2]
The
subdivide
option will add a natural subdivision betweenself
andright
. For more details about how subdivisions are managed when augmenting, seesage.matrix.matrix1.Matrix.augment()
.sage: A = matrix(QQ, 3, 5, range(15), sparse=True) sage: B = matrix(QQ, 3, 3, range(9), sparse=True) sage: A.augment(B, subdivide=True) [ 0 1 2 3 4| 0 1 2] [ 5 6 7 8 9| 3 4 5] [10 11 12 13 14| 6 7 8]
- change_ring(ring)#
Return the matrix obtained by coercing the entries of this matrix into the given ring.
Always returns a copy (unless
self
is immutable, in which case returnsself
).EXAMPLES:
sage: x = polygen(ZZ, 'x') sage: A = matrix(QQ['x,y'], 2, [0,-1,2*x,-2], sparse=True); A [ 0 -1] [2*x -2] sage: A.change_ring(QQ['x,y,z']) [ 0 -1] [2*x -2]
Subdivisions are preserved when changing rings:
sage: A.subdivide([2],[]); A [ 0 -1] [2*x -2] [-------] sage: A.change_ring(RR['x,y']) [ 0 -1.00000000000000] [2.00000000000000*x -2.00000000000000] [-------------------------------------]
- charpoly(var='x', **kwds)#
Return the characteristic polynomial of this matrix.
Note
the generic sparse charpoly implementation in Sage is to just compute the charpoly of the corresponding dense matrix, so this could use a lot of memory. In particular, for this matrix, the charpoly will be computed using a dense algorithm.
EXAMPLES:
sage: A = matrix(ZZ, 4, range(16), sparse=True) sage: A.charpoly() x^4 - 30*x^3 - 80*x^2 sage: A.charpoly('y') y^4 - 30*y^3 - 80*y^2 sage: A.charpoly() x^4 - 30*x^3 - 80*x^2
- density()#
Return the density of the matrix.
By density we understand the ratio of the number of nonzero positions and the number
self.nrows() * self.ncols()
, i.e. the number of possible nonzero positions.EXAMPLES:
sage: a = matrix([[],[],[],[]], sparse=True); a.density() 0 sage: a = matrix(5000,5000,{(1,2): 1}); a.density() 1/25000000
- determinant(**kwds)#
Return the determinant of this matrix.
Note
the generic sparse determinant implementation in Sage is to just compute the determinant of the corresponding dense matrix, so this could use a lot of memory. In particular, for this matrix, the determinant will be computed using a dense algorithm.
EXAMPLES:
sage: A = matrix(ZZ, 4, range(16), sparse=True) sage: B = A + identity_matrix(ZZ, 4, sparse=True) sage: B.det() -49
- matrix_from_rows_and_columns(rows, columns)#
Return the matrix constructed from
self
from the given rows and columns.EXAMPLES:
sage: M = MatrixSpace(Integers(8),3,3, sparse=True) sage: A = M(range(9)); A [0 1 2] [3 4 5] [6 7 0] sage: A.matrix_from_rows_and_columns([1], [0,2]) [3 5] sage: A.matrix_from_rows_and_columns([1,2], [1,2]) [4 5] [7 0]
Note that row and column indices can be reordered or repeated:
sage: A.matrix_from_rows_and_columns([2,1], [2,1]) [0 7] [5 4]
For example here we take from row 1 columns 2 then 0 twice, and do this 3 times.
sage: A.matrix_from_rows_and_columns([1,1,1],[2,0,0]) [5 3 3] [5 3 3] [5 3 3]
We can efficiently extract large submatrices:
sage: A = random_matrix(ZZ, 100000, density=.00005, sparse=True) # long time (4s on sage.math, 2012) sage: B = A[50000:,:50000] # long time sage: count = 0 sage: for i, j in A.nonzero_positions(): # long time ....: if i >= 50000 and j < 50000: ....: assert B[i-50000, j] == A[i, j] ....: count += 1 sage: count == sum(1 for _ in B.nonzero_positions()) # long time True
We must pass in a list of indices:
sage: A = random_matrix(ZZ,100,density=.02,sparse=True) sage: A.matrix_from_rows_and_columns(1,[2,3]) Traceback (most recent call last): ... TypeError: 'sage.rings.integer.Integer' object is not iterable sage: A.matrix_from_rows_and_columns([1,2],3) Traceback (most recent call last): ... TypeError: 'sage.rings.integer.Integer' object is not iterable
AUTHORS:
Jaap Spies (2006-02-18)
Didier Deshommes: some Pyrex speedups implemented
Jason Grout: sparse matrix optimizations
- transpose()#
Return the transpose of
self
, without changingself
.EXAMPLES: We create a matrix, compute its transpose, and note that the original matrix is not changed.
sage: M = MatrixSpace(QQ, 2, sparse=True) sage: A = M([1,2,3,4]); A [1 2] [3 4] sage: B = A.transpose(); B [1 3] [2 4]
.T
is a convenient shortcut for the transpose:sage: A.T [1 3] [2 4]
See also


In the field of ecology, we are confronted with increasingly complex questions that necessitate a nuanced understanding of theory, practical experience with study design and implementation, and a detailed knowledge of current statistical modeling frameworks. In order to tackle big questions, we often must foster collaboration among experts from varied specialties or manage data from disparate sources. Unfortunately, the expanding gap between specialities can lead to a breakdown in efficiency and quality of research.
Thus, I have tailored my career toward operating at the interface between field operations and quantitative ecology in an effort to promote more efficient dialog among operations staff and ecological statiticians. In so doing, I bring a skill-set unique to the field of ecology and can readily balance the need for statistical rigour with an indepth understanding of logistical constraints from the field.
I have extensive experience in a variety of analytical frameworks, including frequentist and Bayesian approaches to data analysis. Though varied, my interests can be broadly defined by movement and spatial ecology, with a particular enthusiam for establishing the link between behavior and demography.
Please visit my Research Gate profile for more information related to my past (published) research.
Finally, I am an expert in R programming with proficiency in a number of programming languages, including Python and BASH. I also have extensive experience with open-source hardware design and Arduino programming, and can help prototype sensor platforms for in situ data collection.
For coding projects, visit my Github page.
[2016] : Identify animal site fidelity from GPS relocation data using our program rASF. See our recent publication in Methods in Ecology and Evolution.
[2016] : Imperilment in a large urban carnivore as a consequence of recent genetic isolation. Find out more by reading our recent publication in Proceedings of the Royal Society of London B.
[2016] : Are invasiveness and endangerment opposite sides of the same coin? Check out our recent publication where we tested this theory in reptiles globally.
For my Curriculum Vitae
I am very excited to have recently accepted an offer as a research fellow with Dr. Laura Prugh at the University of Washington where we will be studying the impacts of climate change on large carnivore movements in artic and boreal ecosystems. I am truly honored to be a part of such a prestigious team of researchers with ABoVE.
Peter Mahoney, Ph.D.
Postdoctoral Researcher
NASA ABoVE Animals on the Move
School of Environmental and Forest Sciences
University of Washington, Seattle, WA 98195


We are all mortals, and each is for himself. - Molière
When we are swamped up in our daily turmoils with the ups and downs, the fun and boredom, the happy and sad, have you ever wondered if you are doing okay compared with others? Did you put your time and efforts in the right place?
Using the dataset from American Time Use Survey, we present to you a discovery journey about the effects of wage rate on how your American counterparts utilize their time. Through your own self-reflection, you could gain insights about how Americans live their lives, start to contemplate on your own life, make proper adjustments to your lifestyle and thus lead a fulfilling life.
In economics, the graphical representation of the relationship between the price of a good or service and the quantity supplied for a given period of time is of common use for analysis. Every data point is an entity indicating the (quantity, price) relationship.
In the following exploration, we will follow this paradigm and use real data of (weekly working hours, hourly wage rate) for visualization.
Let's see what is unveiled by the information visualization.
On the left-hand side, we recreated the labor supply curve with coordinate system of (weekly working hours, hourly wage rate). Every data point is one person's response, and the trend line is the supply curve. Right-hand side is a pie chart visualizing how Americans spend their time on five main categories of activities.
Time for discovery! Observe the distribution of supply curve of labor based on filter attributes. Click on the attribute for the focused view of supply curves, and then hover over your interested item to see the pie chart change.
Fill in your condition and spot your position compared with others similar to you. Reflect on how to adjust your own lifestyle based on the insights from the graph.
Gender
Age
Education
Weekly working hours
Hourly wage


Java Weather Web Application Project By: DEVANG SHARMA
Data fetched from MongoDB
Geo-Location
WEATHER
ABOUT
Enter the city name to check the weather
Submit


Denotes strike-out text, text that is no longer valid.
Offsets a span of text without implying a difference of importance. The default behavior is to underline the text, but this could be accommodated better by using a span tag with the appropriate style.
Marks, or highlights, a span of text.
Indicates inserted text.2014 2015
The <Del > element represent a removal from the document and < ins > represent addition to the document
Indicates deleted Samuel text.
The price before 2:00PM was $10 but now it is $20
the <S> element represent contents that are no longer accurate or no longer relevant
Indicates fine print.
Indicates subscript. H2O
Indicates superscript. O3
Denotes a time of day or a date in the text. 12:Indicates user input.


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within 30 minutes after your payment confirmed, check your email for e-ticket


The Course
The course is 5000m (5K) long. The course is at Lemoenplaas Campsite, Aggeneys. The course is run entirely on trail paths. Some sections of the course may accumulate mud, leaves and puddles after rain. Dependent on availability, marshals will be at key sections of the course, or signs will be in place.
Please remember that the parkrun uses shared paths. For the continued success of the event, please give way to other park users. This won't hurt your time, it won't stop you from getting a PB and it will make sure everyone continues to enjoy the event.
Please, wherever possible walk, jog, cycle or use public transport when attending the event. If you do have to drive, please consider car-sharing to reduce our impact on both the environment and other park users. Please also watch out for other park users when arriving and leaving. Parking may be limited so try to arrive early.
Course Safety
The Aggeneys parkrun is a fun, free event organised by volunteers for the benefit of everyone. We wish to make the run as safe as possible, so runners, spectators and helpers are asked to take care about the following:
- Please be considerate to the park and other park users at all times.
- Children under the age of eleven must be accompanied (within arm's reach) throughout the run by a parent, guardian or appropriate adult of the parent's choice.
- Please arrive by foot, by pedal-power or by public transport if you can - your efforts help to reduce our impact on the park and the planet.
- Please consider volunteering to help occasionally - this event survives only because of your generosity - please visit the volunteer page for more information.
- Take care near roads and car parks - some vehicles drive very quickly. Please congregate away from the cars and be careful in particular if you have children. If you’re driving to the run, please drive carefully even if you’re late!
- When running, take care on uneven surfaces - whether on grass or on tarmac. Watch out for cyclists, other runners, pedestrians, children, dogs, wildlife, park animals, vehicles, park maintenance work, falling branches, bollards, posts and other obstacles around the course.
- Please ensure that you are fit enough to walk, jog, run 5k (3.1 miles) with us. Health advice about running can be found at the excellent Runners' Medical Resource website (although this external website focuses on preparation for a race and does not describe parkrun events).
- Remember to warm up before the run.
- If you see a runner with a serious problem, please stop to help them out and get help as soon as possible.
- If you’re watching, keep clear of runners on the course, and look after any children and dogs you may have with you.
- It is not permitted to run with a pushchair and a dog at the same time.
- Unfortunately dogs are not allowed at this event..
- Runners pushing buggies are also welcome, but please take extreme care of other runners around you. If possible start from the back of the field and try to keep to one side of the main body of runners.
- Lyme Disease is a bacterial infection spread to humans by infected ticks. Consider protecting yourself by wearing repellent when at parkrun events in grassy or wooded areas. See lymediseaseuk.com for further details.
We hope these tips help to ensure that Aggeneys parkrun is fun and safe for everyone.
Age Grading
All parkrun events use Age Grading to help athletes compare results.
Age Grading takes your time and uses the world record time for your sex and age group to produce a score (a percentage). This score allows you to compare your personal performance against other people's performances even though they might be a different age and a different sex to you - the higher the score the better the performance. The scores can also be compared across different race distances - to allow you to, for example, compare a 5km time against a marathon.
For more information, please see our
Support page.
Course Map
Course Description
Our course is an out and back, 1 way vehicle accessible, rocky path with the most beautiful views of the Boesmanland veld, mountains and the Kokerboom.
Unfortunately dogs are not allowed at this event..
Facilities
Social & bathroom facilities.
Getting There
Location of start
The event starts at Lemoenplaas Campsite.
Getting there by public transport
N/A
Getting there on foot
From Shopping Centre in Aggeneys: At shopping centre stop, turn left onto Havelock Avenue, go straight until 3-way stop continue to go straight on Havelock Avenue until the next stop. Take a right turn onto Wankie Street, keep straight on Wankie St until you go onto a gravel road, go straight for about 1.5 km, turn left, then you just keep straight, pass the Burgerhuis on your right. Just keep straight until you go through electrical gate and you will find Lemoenplaas Campsite.
 Go straight over stop onto a gravel road, then you go straight, take a left when you get to the connection road and then straight, through electrical gate and you will find the Lemoenplaas Campsite.
From Shopping Centre in Aggeneys: At shopping centre stop, turn left onto Havelock Avenue, go straight until 3-way stop continue to go straight on Havelock Avenue until the next stop. Take a right turn onto Wankie Street, keep straight on Wankie St until you go onto a gravel road, go straight for about 1.5 km, turn left, then you just keep straight, pass the Burgerhuis on your right. Just keep straight until you go through electrical gate and you will find Lemoenplaas Campsite.
GPS coordinates are 29.2007° S, 18.8401° E. Parking is available.
Post Run Coffee
Every week we grab a post parkrun coffee in a local café - please come and join us!


Flight Status Monitor
Passenger Information
Name
*
Phone
*
Flight Information
Departure Date
*
Carrier Code
Flight Number
Submit


Synthetic opioid co-involvement in drug-related deaths among individuals in the BC Hepatitis Testers Cohort, 2010-2017^ (N=4546) ^Categories are not mutually exclusive; many deaths involve multiple drugs *Proportion of total drug-related deaths with synthetic opioid co-involvement


High Peak Challenge 40 mile
Edale ENG
Website: www.shef.ac.uk/%7Ehpc/hpm/index.html
Race Winners
(35 runnings)
06 Mar
2009 8:48:31 07 Mar
2008
9:13:01 02 Mar
2007
9:21:56
03 Mar
2006
10:51:02
04 Mar
2005
10:26:36
05 Mar
2004
9:32:
2003
9:52:
2002
8:39:
2001
---
2000
10:13:
1999
9:36:
1998
6:41:
1997
8:51:
1996
9:50:
1995
10:30:
1994
9:54:
1993
9:37:
1992
9:34:
1991
9:29:
1990
10:15:
1989
11:10:
1988
8:07:
1987
7:47:
1986
6:26:
1985
9:36:
1984
9:21:
1983
10:40:
1982
10:30:
1981
11:20:
1980
10:27:
1979
---
1978
10:37:
1977
10:10:
1976
---
1975
10:22:
1974
11:48:
1973
13:36:
1972
10:26:
Notes: 1972 was the inaugural year. This is a team race with all four team members completing the course together.
Individual team members' names are not available; only team names are shown. The race is run at night in the winter.
Times vary markedly due to the weather and course conditions. The "bad weather route" was followed in
1986-87 and 1998. The 1999 race was shortened due to bad weather. A slightly different course was introduced in
2004.
Team Vasque North-2
Team Vasque North
Team Montrail
The Inedibles
The Incredibles II
The Rolling Stones-3
The Rolling Stones-2
The Rolling Stones
not held
White Peak Wobblers
Rucksack Club-8
Rucksack Club-7
Freak or Unique
Harry Hut Bouncers-4
Young Hustlers
Kouldn't Karriless
Clayton Sub 9
East Hull Harriers-3
East Hull Harriers-2
Sub 9-4
East Hull Harriers
Sub 9-3
Sub 9-2
Sub 9
Harry Hut Bouncers-3
Harry Hut Bouncers-2
Harry Hut Bouncers
Clayton A
Dark Peak International-2
Dark Peak International
not held
Rucksack Club-6
Rucksack Club-5
not held
Rucksack Club-4
Rucksack Club-3
Rucksack Club-2
Rucksack Club
Last Updated on 22 Mar 2009
Contributors: Klaas Loonstra (50), Juraj Gasparovic (9)


Angela Griffin to make permanent Coronation Street comeback as Fiona Middleton?
She left the cobbles in 1998
by Entertainment DailyAngela Griffin is keen to make a permanent Coronation Street comeback.
The 43-year-old actress, who played hairdresser Fiona Middleton from 1993 to 1998 before making a brief cameo return earlier this year, would love to step out onto the cobbles again full-time.
She told the Daily Star newspaper: "It's very tempting to go back and just stay there forever and a day. I'm open to the idea of that.
"My character isn't dead so the door is open. There was talk about making it happen this year but it couldn't because the dates didn't work out. But it could happen in the future."
The former soap star admitted the ITV show holds a special space "in her heart", and despite not appearing regularly for more than two decades she still loves being back on the cobbles.
 I was my daughter's age when I first started on it. But even now after all these years I still absolutely love it."
Earlier this year, Angela appeared on the soap once again as Fiona, as the character, who now lives in Australia, chatted to her on-screen daughter Emma Brooker on Skype.
Read More: Coronation Street star Cherylee Houston in tears at hotel's terrible wheelchair accessibility
It was revealed over the summer that Emma's biological dad is actually Fiona's ex Steve McDonald, and the actress recently suggested that could open the door for a comeback.
She told Digital Spy: "I think there is in terms that she (Emma) is my daughter and there's unfinished business with Steve, obviously.
"But there's no plans at the moment. I think they are just going to let that storyline play out and see what happens."
Read More: FIRST LOOK: Next week's Coronation Street in 10 pictures
Since leaving Corrie in 1998, Angela has gone on to enjoy a successful acting career with roles in the likes of Cutting It, Waterloo Road, Lewis, Midsomer Murders and Brief Encounters, as well as presenting on Emergency With Angela Griffin.
Most recently, she appeared as Astrid in Idris Elba's comedy series Turn Up Charlie.
Coronation Street airs on Mondays, Wednesdays and Fridays at 7.30pm and 8.30pm on ITV.
Would you like to see Angela return to Corrie as Fiona? Leave us a comment on our Facebook page @EntertainmentDailyFix and let us know what you think!


POST Web API¶
Iotdashboard a Raspberry Pi gibi bir cihaz ile veri göndermek için kullanıcı adı ve şifre oluşturulmalıdır.
Kullanıcı adı ve şifre oluşturmak için ./manage.py createsuperuser komutu ile user oluşturulur.
./manage.py createsuperuser
Iotdashboard içerisindeki docs/example_db klasörü içerisinde örnek veritabanı dosyası bulunmaktadır.
Kullanıcı oluşturduktan sonra localhost üzerinde veya Raspberry Pi ye ip adresi ile veri gönderilebilir.

}
Post Api Requests.Post localhost¶
Python ile POST örneği. Bu örneğe Github adresinden ulaşabilirsiniz.
# -*- coding: utf-8 -*-
"""
Iot dashboard POST example
iot-dashboard
IoT: Platform for Internet of Things
Iotdashboard source code is available under the MIT License
Online iot dashboard test and demo http://ihook.xyz
Online iot dashboard https://iothook.com
You can find project details on our project page https://iothook.com and wiki https://iothook.com
The MIT License (MIT)
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
 IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
"""
import requests
import json
import urllib
import urllib2
import random
import pprint
headers = {'Content-type': 'application/json'}
url = 'http://localhost:8000/api/v1/datas/'
auth=('iottestuser', 'iot12345**')
for i in range(30):
data = {'api_key':'c791e11-d9ab779','name_id':'test', 'value':'45'}
data_json = json.dumps(data)
response = requests.post(url, data=data_json, headers=headers, auth=auth)
pprint.pprint(response.json())
Post Api Requests.Post iotdashboard¶
Python ile POST örneği. Bu örneğe Github adresinden ulaşabilirsiniz.
# -*- coding: utf-8 -*-
"""
Iot dashboard POST example
iot-dashboard
IoT: Platform for Internet of Things
Iotdashboard source code is available under the MIT License
Online iot dashboard test and demo http://ihook.xyz
Online iot dashboard https://iothook.com
You can find project details on our project page https://iothook.com and wiki https://iothook.com
The MIT License (MIT)
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
 IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
"""
import requests
import json
import urllib
import urllib2
import random
import pprint
headers = {'Content-type': 'application/json'}
url = 'http://iotdashboard.pythonanywhere.com/api/v1/datas/'
auth=('admin', 'Aa1234567890')
for i in range(10):
data={
'api_key':'8030e69da8b049d98807c443407f94594b558d3e',
'element_1':'1', 'value_1':i*10,
}
data_json = json.dumps(data)
response = requests.post(url, data=data_json, headers=headers, auth=auth)
print(response)
print(response.json())
time.sleep(5)
Post Api Requests.Post with C# iotdashboard¶
C# ile POST örneği. Bu örneğe Github: https://github.com/AsocialCoder/CSharp_Webrequest adresinden ulaşabilirsiniz.
/*
Iot dashboard POST example
iot-dashboard
IoT: Platform for Internet of Things
Iotdashboard source code is available under the MIT License
Online iot dashboard test and demo http://ihook.xyz
Online iot dashboard https://iothook.com
You can find project details on our project page https://iothook.com and wiki https://iothook.com
The MIT License (MIT)
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
 IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
*/
using System;
using System.Collections.Generic;
using System.ComponentModel;
using System.Data;
using System.Drawing;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
using System.Windows.Forms;
using System.IO;
using System.Net;
using System.Collections.Specialized;
using System.Windows.Forms.DataVisualization.Charting;
using System.Web.Script.Serialization;
using Newtonsoft.Json.Linq;
using System.Threading;
using Newtonsoft.Json;
String url = "http://iotdashboard.pythonanywhere.com/api/v1/datas";
CookieContainer cookies = new CookieContainer();
var webRequest = (HttpWebRequest)WebRequest.Create(url);
webRequest.Method = "POST";
webRequest.CookieContainer = cookies;
webRequest.ContentType = "application/json";
webRequest.UserAgent = "Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US; rv:<IP_ADDRESS>) Gecko/2008070208 Firefox/3.0.1";
webRequest.Accept = "text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8";
string autorization = "admin" + ":" + "Aa1234567890";
byte[] binaryAuthorization = System.Text.Encoding.UTF8.GetBytes(autorization);
autorization = Convert.ToBase64String(binaryAuthorization);
autorization = "Basic " + autorization;
webRequest.Headers.Add("AUTHORIZATION", autorization);
webRequest.SendChunked = true;
using (var streamWriter = new StreamWriter(webRequest.GetRequestStream()))
{
MessageBox.Show("burada");
var json = new System.Web.Script.Serialization.JavaScriptSerializer().Serialize(new
{
api_key = 8030e69da8b049d98807c443407f94594b558d3e,
value_1 = "15",
value_2 = "12",
value_3 = "25",
value_4 = "85",
value_5 = "10",
});
streamWriter.Write(json);
MessageBox.Show("Değerler başarılı bir şekilde yüklendi.");
streamWriter.Flush();
streamWriter.Close();
webRequest.Abort();
}
Post Api Requests.Post localhost¶
Python ile POST örneği. Bu örneğe Github adresinden ulaşabilirsiniz.
# -*- coding: utf-8 -*-
"""
Iot dashboard POST example
iot-dashboard
IoT: Platform for Internet of Things
Iotdashboard source code is available under the MIT License
Online iot dashboard test and demo http://ihook.xyz
Online iot dashboard https://iothook.com
You can find project details on our project page https://iothook.com and wiki https://iothook.com
The MIT License (MIT)
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
 IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
"""
import requests
import json
headers = {'Content-type': 'application/json'}
url = 'http://localhost:8000/api/v1/datas/'
auth=('iottestuser', 'iot12345**')
data = {'api_key':'c791e11-d9ab779','name_id':'test', 'value':'45'}
response = requests.post(url, data=datas, auth=auth)
print response
Post Api Requests.Post headers¶
Python ile headers POST örneği. Bu örneğe Github adresinden ulaşabilirsiniz.
# -*- coding: utf-8 -*-
"""
Iot dashboard POST example
iot-dashboard
IoT: Platform for Internet of Things
Iotdashboard source code is available under the MIT License
Online iot dashboard test and demo http://ihook.xyz
Online iot dashboard https://iothook.com
You can find project details on our project page https://iothook.com and wiki https://iothook.com
The MIT License (MIT)
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
 IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
"""
import requests
import json
import urllib
import urllib2
import random
import pprint
headers = {'Content-type': 'application/json'}
url = 'http://localhost:8000/api/v1/datas/'
auth=('iottestuser', 'iot12345**')
data = {'api_key':'c791e11-d9ab779','name_id':'test', 'value':'45'}
data_json = json.dumps(data)
response = requests.post(url, data=data_json, headers=headers, auth=auth)
pprint.pprint(response.json())
Post Api Requests.Post urllib¶
Python ile urllib POST örneği. Bu örneğe Github adresinden ulaşabilirsiniz.
# -*- coding: utf-8 -*-
"""
Iot dashboard POST example
iot-dashboard
IoT: Platform for Internet of Things
Iotdashboard source code is available under the MIT License
Online iot dashboard test and demo http://ihook.xyz
Online iot dashboard https://iothook.com
You can find project details on our project page https://iothook.com and wiki https://iothook.com
The MIT License (MIT)
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
 IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
"""
import requests
import json
import urllib
import urllib2
import random
headers = {'Content-type': 'application/json'}
url = 'http://localhost:8000/api/v1/datas/'
auth=('iottestuser', 'iot12345**')
data = {'api_key':'c791e11-d9ab779','name_id':'test', 'value':'45'}
data = urllib.urlencode(data)
req = urllib2.Request(url, data)
response = urllib2.urlopen(req)
html = response.read()
print html
Post Api Requests.Post httplib¶
Python ile httplib POST örneği. Bu örneğe Github adresinden ulaşabilirsiniz.
# -*- coding: utf-8 -*-
"""
Iot dashboard POST example
iot-dashboard
IoT: Platform for Internet of Things
Iotdashboard source code is available under the MIT License
Online iot dashboard test and demo http://ihook.xyz
Online iot dashboard https://iothook.com
You can find project details on our project page https://iothook.com and wiki https://iothook.com
The MIT License (MIT)
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
 IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
"""
import httplib, urllib
headers = {'Content-type': 'application/json'}
url = 'http://localhost:8000/api/v1/datas/'
auth=('iottestuser', 'iot12345**')
data = {'api_key':'c791e11-d9ab779','name_id':'test', 'value':'45'}
conn = httplib.HTTPConnection("localhost", 8000)
conn.request("POST", "/api/v1/datas/" + API_KEY, datas, headers)
response = conn.getresponse()
print response.status, response.reason
print response.read()


Newsclipping from
Andrew Christman Scrapbook Collection
Good Old Monroe
Author unknown
I've been asked to
make a speech,
Your indulgence I beseech,
While in verse I strive to preach,
Of Monroe to all and each.
There's a county called Monroe,
In southeastern O-H-I-O,
Where snakeroot and ginseng grow,
And the roosters loudly crow.
To Monroe we give a toast,
Of her people we will boast,
We will swear to love her most,
Of any place from coast to coast.
May we adore our native sod,
So richly blessed by nature's God,
Hills and valleys of goldenrod,
A sight to make us all applaud.
Although they say we're from the sticks,
And cannot cope with city slicks,
Begorrah, we're up to their tricks,
No matter what their politics.
Monroe can grow most any crop,
Farming there is not a flop,
The rain, it never fails to drop,
And it never fails to stop.
Once the roads were made of dirt,
Dobbin's feet the mud would squirt,
And if one were not alert,
One would splash a brand new skirt.
We have long since passed the day,
Of the romantic horse-drawn shay,
Motor buggies have come to stay,
Yes, courtin's done a different way.
As long as Father Time holds sway,
Things will change from day to day,
The narrow gauge "tis sad to say,
To motor travel gave right of way.
No longer does her whistle shrill,
Resound and echo from hill to hill,
She's gone the way we sometimes will,
While others come, our places fill.
Now, if we don't watch out by golly,
We'll get to feelin' melancholy,
This is a time we should be jolly,
To be downcast is outright folly.
Let's reminisce on happy themes,
Not one forgotten, buried dreams,
On green woodlands and sparkling streams,
On azure sky and bright sunbeams.
A big reunion there have we,
The greatest of it's kind it be,
Where many go their friends to see,
A huge home-coming annually.
They used to go all sorts of ways,
On hay loads and moving drays,
Started at the sun's first rays,
It is one of our biggest days.
Now folks go in motor car,
On good roads without a jar,
Yes, they come from near and far,
Time and distance are no bar.
We have a first class county fair,
The lads and lassies all go there,
The exhibits, they are fine and rare,
Doubt these statements if you dare.
Think of the gas and oil and coal,
For which we're known from pole to pole,
How they've kept us off the dole,
Made independent many a soul.
Monroe produces superb cheese,
It's quality all folks does please,
I'm sure we'd all get on our knees,
For just one hunk of switzer cheese.
Woodsfield is our county seat,
There is where good fellows meet,
Talk about their corn and wheat,
Don't get drunk unless they treat.
Monroe has reared her share of men,
Whose names are in the who and when,
We proudly boast our kith and kin,
So few have landed in the pen.
For scenic beauty, Monroe will vie,
With any county beneath the sky,
The artist's brush need never try,
To paint the scene which delight the eye.
Yes, we could praise dear old Monroe,
'Till all the river's up-hill flow,
'Till hairs upon all bald heads grow,
'Til Gabriel does his trumpet blow.
But I'll from further rhymes refrain,
Lest your patience I might strain,
Lest you think I am insane,
Here's hoping that we meet again.
Provided by Paul Young
Click here for the Short-Cut Table of Contents


--- title: Datasets layout: default permalink: /en/andmehulgad/ ref: datasets lang: en --- {% include breadcrumbs.html %}
Ask for data
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{% extends "layout_logged.html" %} {% block body %}
| ISBN | {{ book.isbn }} |
|---|---|
| Author | {{ book.author }} |
| Title | {{ book.title }} |
| Year | {{ book.year }} |
| GoodReads reviews | {{ goodreads.reviews_count }} |
| GoodReads review average | {{ goodreads.average_rating }} |
| {{ review.name }} (rated: {{ review.rating }}) |
| {{ review.review }} |
No reviews for this book. Be the first to review!
{% endif %} {% endif %}


686_smallbear123.py
class Solution:
def minimumEffortPath(self, heights: List[List[int]]) -> int:
import heapq
m, n = len(heights), len(heights[0])
DP = [[-1]*n for _ in range(m)]
DP[0][0] = 0
h = [] # effort, x, y
heapq.heappush(h, (0, 0, 0))
visited = set()
while h:
e, x, y = heapq.heappop(h)
if x == m - 1 and y == n - 1:
return e
if (x, y) in visited:
continue
visited.add((x, y))
if x > 0 and (x-1, y) not in visited:
heapq.heappush(h, (max(e, abs(heights[x][y] - heights[x-1][y])), x - 1, y))
if x < m - 1 and (x + 1, y) not in visited:
heapq.heappush(h, (max(e, abs(heights[x][y] - heights[x+1][y])), x + 1, y))
if y > 0 and (x, y-1) not in visited:
heapq.heappush(h, (max(e, abs(heights[x][y] - heights[x][y-1])), x, y - 1))
if y < n - 1 and (x, y + 1) not in visited:
heapq.heappush(h, (max(e, abs(heights[x][y] - heights[x][y+1])), x, y + 1))
return -1


Database Change Notification is a feature that enables client applications to register queries with the database and receive notifications in response to DML or DDL changes on the objects associated with the queries. The notifications are published by the database when the DML or DDL transaction commits. During registration, the application specifies a notification handler and associates a set of interesting queries with the notification handler. A notification handler is a python function. http://download-uk.oracle.com/docs/cd/B19306_01/appdev.102/b14251/adfns_dcn.htm
import sys import time import cx_Oracle connstr = sys.argv[1] # this function will be called whenever the table CHANGEME is modified def callback(message): print " type:", message.type print "dbname:", message.dbname for table in message.tables: print " table:", table.name print " op:", table.operation if table.rows is not None: for row in table.rows: print " rowid:", row.rowid, "op:", row.operation print "" # to enable callbacks: events = True conn = cx_Oracle.connect(connstr, events = True) sub = conn.subscribe(callback = callback, timeout = 1800, rowids = True) print "Subscription:", sub print "--> Connection:", sub.connection print "--> Callback:", sub.callback print "--> Namespace:", sub.namespace print "--> Protocol:", sub.protocol print "--> Timeout:", sub.timeout print "--> Operations:", sub.operations print "--> Rowids?:", sub.rowids sub.registerquery("select * from changeme") while True: print "Modify the table CHANGEME to see some callbacks." print "Waiting for notifications...." time.sleep(5000)
as sys: grant change notification to public; create table changeme ( a varchar2(10), b number(3) );
drop table changeme;


- search(List<T>, T) - Method in class algorithms.searching.BinarySearch
-
This method will search an element in a sorted list.
- search(List<T>, T) - Method in class algorithms.searching.LinearSearch
-
This method will search an element in a sorted list.
- search(List<T>, T) - Method in interface algorithms.searching.SearchingAlgorithm
-
This method will search an element in a sorted list.
- SearchingAlgorithm<T extends java.lang.Comparable<T>> - Interface in algorithms.searching
-
This interface to create different searching algorithms.
- setComparator(Comparator<T>) - Method in class algorithms.sorting.BaseSortingAlgorithmContext
-
Sets the context's comparator
- setComparator(Comparator<T>) - Method in interface algorithms.sorting.SortingContext
-
Sets the strategy's comparator
- setCompletionStatus(boolean) - Method in class algorithms.sorting.BaseSortingAlgorithm
-
Sets the completion status for the sorting algorithm
- setCompletionStatus(boolean) - Method in class algorithms.sorting.DefaultSortingAlgorithm
-
Delegating method for setting completion status of sorting algorithm
- setCompletionStatus(boolean) - Method in interface algorithms.sorting.SortingAlgorithm
-
Sets the sorting completion status of sorting algorithm
- setItems(List<T>) - Method in class algorithms.sorting.BaseSortingAlgorithmContext
-
Sets the context's items
- setItems(List<T>) - Method in interface algorithms.sorting.SortingContext
-
Sets the strategy's items
- setSortingAlgorithm(SortingAlgorithm<T>) - Method in class algorithms.sorting.BaseSortingAlgorithmContext
-
Sets the context's sorting algorithm
- setSortingAlgorithm(SortingAlgorithm<T>) - Method in interface algorithms.sorting.SortingContext
-
Sets the strategy's sorting algorithm
- shuffle() - Method in class algorithms.listBuilder.IntegerListBuilder
-
Shuffles the items in the builder
- shuffle() - Method in interface algorithms.listBuilder.ListBuilder
-
Shuffles the items in the builder
- sort() - Method in class algorithms.sorting.BaseSortingAlgorithmContext
-
Implementation method for SortingStrategy's sort method.
- sort(List<T>, Comparator<T>) - Method in class algorithms.sorting.BubbleSort
-
Implementation and overriding of parent's sort method; specifically BubbleSort's
sorting algorithm
- sort(List<T>, Comparator<T>) - Method in class algorithms.sorting.DefaultSortingAlgorithm
-
Delegating method for sorting
- sort(List<T>, Comparator<T>) - Method in class algorithms.sorting.InsertionSort
-
Implementation and overriding of parent's sort method; specifically InsertionSort's
sorting algorithm
- sort(List<T>, Comparator<T>) - Method in class algorithms.sorting.MergeSort
-
Implementation and overriding of parent's sort method; specifically MergeSort's
sorting algorithm
- sort(List<T>, Comparator<T>) - Method in class algorithms.sorting.QuickSort
-
Implementation and overriding of parent's sort method; specifically QuickSort's
sorting algorithm
- sort(List<T>, Comparator<T>) - Method in interface algorithms.sorting.SortingAlgorithm
-
Method to sort the list of objects
- sort() - Method in interface algorithms.sorting.SortingContext
-
Method which provides the delegating sorting call to the strategy
- sortComplete - Variable in class algorithms.sorting.BaseSortingAlgorithm
-
- sortComplete() - Method in class algorithms.sorting.BaseSortingAlgorithm
-
Gets whether the SortingAlgorithm has finished sorting
- sortComplete() - Method in class algorithms.sorting.DefaultSortingAlgorithm
-
Delegating method of getting the completion status of the sorting algorithm
- sortComplete() - Method in interface algorithms.sorting.SortingAlgorithm
-
Gets whether the sorting algorithm has finished sorting
- SortingAlgorithm<T extends java.lang.Comparable<T>> - Interface in algorithms.sorting
-
Interface providing the contract for a Sorting Algorithm
- SortingAlgorithmContextCreator<T extends java.lang.Comparable<T>> - Class in algorithms.factories
-
Factory method base class for constructing parts and then the whole SortingAlgorithmContext
- SortingAlgorithmContextCreator() - Constructor for class algorithms.factories.SortingAlgorithmContextCreator
-
- SortingAlgorithmFactory<T extends java.lang.Comparable<T>> - Interface in algorithms.factories
-
Abstract Factory for creating Sorting Algorithms
- SortingAlgorithmType - Enum in algorithms.factories
-
Enumeration of Sorting Algorithm types
- SortingContext<T extends java.lang.Comparable<T>> - Interface in algorithms.sorting
-
Interface providing the contract for a Sorting Strategy
- sortingStrategy - Variable in class algorithms.sorting.BaseSortingAlgorithmContext
-