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| Classes in javax.ws.rs used by com.restfully.shop.services | |
|---|---|
| Consumes
Defines the media types that the methods of a resource class or MessageBodyReader can accept. |
|
| DefaultValue
Defines the default value of request metadata that is bound using one of the following annotations: PathParam ,
QueryParam ,
MatrixParam ,
CookieParam ,
FormParam ,
or HeaderParam . |
|
| GET
Indicates that the annotated method responds to HTTP GET requests |
|
| HEAD
Indicates that the annotated method responds to HTTP HEAD requests |
|
| MatrixParam
Binds the value(s) of a URI matrix parameter to a resource method parameter, resource class field, or resource class bean property. |
|
| Path
Identifies the URI path that a resource class or class method will serve requests for. |
|
| PathParam
Binds the value of a URI template parameter or a path segment containing the template parameter to a resource method parameter, resource class field, or resource class bean property. |
|
| POST
Indicates that the annotated method responds to HTTP POST requests |
|
| Produces
Defines the media type(s) that the methods of a resource class or MessageBodyWriter can produce. |
|
| PUT
Indicates that the annotated method responds to HTTP PUT requests |
|
| QueryParam
Binds the value(s) of a HTTP query parameter to a resource method parameter, resource class field, or resource class bean property. |
|
| WebApplicationException
Runtime exception for applications. |
| Classes in javax.ws.rs used by javax.ws.rs | |
|---|---|
| HttpMethod
Associates the name of a HTTP method with an annotation. |
| Classes in javax.ws.rs used by javax.ws.rs.core | |
|---|---|
| WebApplicationException
Runtime exception for applications. |
| Classes in javax.ws.rs used by javax.ws.rs.ext | |
|---|---|
| WebApplicationException
Runtime exception for applications. |
| Classes in javax.ws.rs used by org.ieft.annotations | |
|---|---|
| HttpMethod
Associates the name of a HTTP method with an annotation. |
| Classes in javax.ws.rs used by org.jboss.resteasy.cdi | |
|---|---|
| WebApplicationException
Runtime exception for applications. |
| Classes in javax.ws.rs used by org.jboss.resteasy.core | |
|---|---|
| Consumes
Defines the media types that the methods of a resource class or MessageBodyReader can accept. |
|
| DefaultValue
Defines the default value of request metadata that is bound using one of the following annotations: PathParam ,
QueryParam ,
MatrixParam ,
CookieParam ,
FormParam ,
or HeaderParam . |
|
| DELETE
Indicates that the annotated method responds to HTTP DELETE requests |
|
| GET
Indicates that the annotated method responds to HTTP GET requests |
|
| Path
Identifies the URI path that a resource class or class method will serve requests for. |
|
| PathParam
Binds the value of a URI template parameter or a path segment containing the template parameter to a resource method parameter, resource class field, or resource class bean property. |
|
| POST
Indicates that the annotated method responds to HTTP POST requests |
|
| QueryParam
Binds the value(s) of a HTTP query parameter to a resource method parameter, resource class field, or resource class bean property. |
|
| WebApplicationException
Runtime exception for applications. |
| Classes in javax.ws.rs used by org.jboss.resteasy.core.interception | |
|---|---|
| WebApplicationException
Runtime exception for applications. |
| Classes in javax.ws.rs used by org.jboss.resteasy.examples | |
|---|---|
| GET
Indicates that the annotated method responds to HTTP GET requests |
|
| Path
Identifies the URI path that a resource class or class method will serve requests for. |
|
| PathParam
Binds the value of a URI template parameter or a path segment containing the template parameter to a resource method parameter, resource class field, or resource class bean property. |
|
| Produces
Defines the media type(s) that the methods of a resource class or MessageBodyWriter can produce. |
| Classes in javax.ws.rs used by org.jboss.resteasy.examples.asyncjob | |
|---|---|
| PUT
Indicates that the annotated method responds to HTTP PUT requests |
| Classes in javax.ws.rs used by org.jboss.resteasy.examples.guice.hello | |
|---|---|
| GET
Indicates that the annotated method responds to HTTP GET requests |
|
| Path
Identifies the URI path that a resource class or class method will serve requests for. |
|
| PathParam
Binds the value of a URI template parameter or a path segment containing the template parameter to a resource method parameter, resource class field, or resource class bean property. |
| Classes in javax.ws.rs used by org.jboss.resteasy.examples.oauth | |
|---|---|
| Consumes
Defines the media types that the methods of a resource class or MessageBodyReader can accept. |
|
| FormParam
Binds the value(s) of a form parameter contained within a request entity body to a resource method parameter. |
|
| GET
Indicates that the annotated method responds to HTTP GET requests |
|
| Path
Identifies the URI path that a resource class or class method will serve requests for. |
|
| POST
Indicates that the annotated method responds to HTTP POST requests |
|
| QueryParam
Binds the value(s) of a HTTP query parameter to a resource method parameter, resource class field, or resource class bean property. |
| Classes in javax.ws.rs used by org.jboss.resteasy.examples.service | |
|---|---|
| GET
Indicates that the annotated method responds to HTTP GET requests |
|
| Path
Identifies the URI path that a resource class or class method will serve requests for. |
|
| Produces
Defines the media type(s) that the methods of a resource class or MessageBodyWriter can produce. |
| Classes in javax.ws.rs used by org.jboss.resteasy.examples.springmvc | |
|---|---|
| Consumes
Defines the media types that the methods of a resource class or MessageBodyReader can accept. |
|
| FormParam
Binds the value(s) of a form parameter contained within a request entity body to a resource method parameter. |
|
| GET
Indicates that the annotated method responds to HTTP GET requests |
|
| Path
Identifies the URI path that a resource class or class method will serve requests for. |
|
| PathParam
Binds the value of a URI template parameter or a path segment containing the template parameter to a resource method parameter, resource class field, or resource class bean property. |
|
| POST
Indicates that the annotated method responds to HTTP POST requests |
|
| Produces
Defines the media type(s) that the methods of a resource class or MessageBodyWriter can produce. |
|
| PUT
Indicates that the annotated method responds to HTTP PUT requests |
| Classes in javax.ws.rs used by org.jboss.resteasy.jsapi | |
|---|---|
| Path
Identifies the URI path that a resource class or class method will serve requests for. |
| Classes in javax.ws.rs used by org.jboss.resteasy.plugins.cache.server | |
|---|---|
| WebApplicationException
Runtime exception for applications. |
| Classes in javax.ws.rs used by org.jboss.resteasy.plugins.interceptors | |
|---|---|
| WebApplicationException
Runtime exception for applications. |
| Classes in javax.ws.rs used by org.jboss.resteasy.plugins.interceptors.encoding | |
|---|---|
| WebApplicationException
Runtime exception for applications. |
| Classes in javax.ws.rs used by org.jboss.resteasy.plugins.providers | |
|---|---|
| Consumes
Defines the media types that the methods of a resource class or MessageBodyReader can accept. |
|
| Produces
Defines the media type(s) that the methods of a resource class or MessageBodyWriter can produce. |
|
| WebApplicationException
Runtime exception for applications. |
| Classes in javax.ws.rs used by org.jboss.resteasy.plugins.providers.atom | |
|---|---|
| Consumes
Defines the media types that the methods of a resource class or MessageBodyReader can accept. |
|
| Produces
Defines the media type(s) that the methods of a resource class or MessageBodyWriter can produce. |
|
| WebApplicationException
Runtime exception for applications. |
| Classes in javax.ws.rs used by org.jboss.resteasy.plugins.providers.html | |
|---|---|
| DefaultValue
Defines the default value of request metadata that is bound using one of the following annotations: PathParam ,
QueryParam ,
MatrixParam ,
CookieParam ,
FormParam ,
or HeaderParam . |
|
| Encoded
Disables automatic decoding of parameter values bound using QueryParam ,
PathParam , FormParam or MatrixParam . |
|
| GET
Indicates that the annotated method responds to HTTP GET requests |
|
| Path
Identifies the URI path that a resource class or class method will serve requests for. |
|
| PathParam
Binds the value of a URI template parameter or a path segment containing the template parameter to a resource method parameter, resource class field, or resource class bean property. |
|
| Produces
Defines the media type(s) that the methods of a resource class or MessageBodyWriter can produce. |
|
| QueryParam
Binds the value(s) of a HTTP query parameter to a resource method parameter, resource class field, or resource class bean property. |
|
| WebApplicationException
Runtime exception for applications. |
| Classes in javax.ws.rs used by org.jboss.resteasy.plugins.providers.jackson | |
|---|---|
| Consumes
Defines the media types that the methods of a resource class or MessageBodyReader can accept. |
|
| Produces
Defines the media type(s) that the methods of a resource class or MessageBodyWriter can produce. |
| Classes in javax.ws.rs used by org.jboss.resteasy.plugins.providers.jaxb | |
|---|---|
| Consumes
Defines the media types that the methods of a resource class or MessageBodyReader can accept. |
|
| Produces
Defines the media type(s) that the methods of a resource class or MessageBodyWriter can produce. |
|
| WebApplicationException
Runtime exception for applications. |
| Classes in javax.ws.rs used by org.jboss.resteasy.plugins.providers.jaxb.fastinfoset | |
|---|---|
| Consumes
Defines the media types that the methods of a resource class or MessageBodyReader can accept. |
|
| Produces
Defines the media type(s) that the methods of a resource class or MessageBodyWriter can produce. |
| Classes in javax.ws.rs used by org.jboss.resteasy.plugins.providers.jaxb.json | |
|---|---|
| Consumes
Defines the media types that the methods of a resource class or MessageBodyReader can accept. |
|
| Produces
Defines the media type(s) that the methods of a resource class or MessageBodyWriter can produce. |
|
| WebApplicationException
Runtime exception for applications. |
| Classes in javax.ws.rs used by org.jboss.resteasy.plugins.providers.multipart | |
|---|---|
| Consumes
Defines the media types that the methods of a resource class or MessageBodyReader can accept. |
|
| Produces
Defines the media type(s) that the methods of a resource class or MessageBodyWriter can produce. |
|
| WebApplicationException
Runtime exception for applications. |
| Classes in javax.ws.rs used by org.jboss.resteasy.plugins.stats | |
|---|---|
| GET
Indicates that the annotated method responds to HTTP GET requests |
|
| Path
Identifies the URI path that a resource class or class method will serve requests for. |
|
| Produces
Defines the media type(s) that the methods of a resource class or MessageBodyWriter can produce. |
| Classes in javax.ws.rs used by org.jboss.resteasy.security.doseta | |
|---|---|
| WebApplicationException
Runtime exception for applications. |
| Classes in javax.ws.rs used by org.jboss.resteasy.spi | |
|---|---|
| WebApplicationException
Runtime exception for applications. |
| Classes in javax.ws.rs used by org.jboss.resteasy.spi.interception | |
|---|---|
| WebApplicationException
Runtime exception for applications. |
| Classes in javax.ws.rs used by org.jboss.resteasy.test.application | |
|---|---|
| Consumes
Defines the media types that the methods of a resource class or MessageBodyReader can accept. |
|
| GET
Indicates that the annotated method responds to HTTP GET requests |
|
| Path
Identifies the URI path that a resource class or class method will serve requests for. |
|
| POST
Indicates that the annotated method responds to HTTP POST requests |
|
| Produces
Defines the media type(s) that the methods of a resource class or MessageBodyWriter can produce. |
| Classes in javax.ws.rs used by org.jboss.resteasy.test.smoke | |
|---|---|
| Consumes
Defines the media types that the methods of a resource class or MessageBodyReader can accept. |
|
| GET
Indicates that the annotated method responds to HTTP GET requests |
|
| MatrixParam
Binds the value(s) of a URI matrix parameter to a resource method parameter, resource class field, or resource class bean property. |
|
| Path
Identifies the URI path that a resource class or class method will serve requests for. |
|
| PathParam
Binds the value of a URI template parameter or a path segment containing the template parameter to a resource method parameter, resource class field, or resource class bean property. |
|
| Produces
Defines the media type(s) that the methods of a resource class or MessageBodyWriter can produce. |
|
| PUT
Indicates that the annotated method responds to HTTP PUT requests |
|
| QueryParam
Binds the value(s) of a HTTP query parameter to a resource method parameter, resource class field, or resource class bean property. |
| Classes in javax.ws.rs used by org.jboss.resteasy.tests.context | |
|---|---|
| GET
Indicates that the annotated method responds to HTTP GET requests |
|
| Path
Identifies the URI path that a resource class or class method will serve requests for. |
|
| Produces
Defines the media type(s) that the methods of a resource class or MessageBodyWriter can produce. |
|
| WebApplicationException
Runtime exception for applications. |
| Classes in javax.ws.rs used by org.jboss.resteasy.tests.encoding.sample | |
|---|---|
| GET
Indicates that the annotated method responds to HTTP GET requests |
|
| Path
Identifies the URI path that a resource class or class method will serve requests for. |
|
| PathParam
Binds the value of a URI template parameter or a path segment containing the template parameter to a resource method parameter, resource class field, or resource class bean property. |
|
| POST
Indicates that the annotated method responds to HTTP POST requests |
|
| Produces
Defines the media type(s) that the methods of a resource class or MessageBodyWriter can produce. |
|
| QueryParam
Binds the value(s) of a HTTP query parameter to a resource method parameter, resource class field, or resource class bean property. |
| Classes in javax.ws.rs used by org.jboss.resteasy.tests.signature | |
|---|---|
| Consumes
Defines the media types that the methods of a resource class or MessageBodyReader can accept. |
|
| GET
Indicates that the annotated method responds to HTTP GET requests |
|
| HeaderParam
Binds the value(s) of a HTTP header to a resource method parameter, resource class field, or resource class bean property. |
|
| Path
Identifies the URI path that a resource class or class method will serve requests for. |
|
| POST
Indicates that the annotated method responds to HTTP POST requests |
|
| Produces
Defines the media type(s) that the methods of a resource class or MessageBodyWriter can produce. |
|
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--- layout: default title: Austin Winans - About ---
Hello there! I'm Austin Winans, a high school graduate currently pursuing a BS in Cybersecurity with a focus in Data Analytics at Southern New Hampshire University.
My journey began in 2015 when I proudly joined the Army, and I am still actively serving. Over the years, I've taken on various roles, including a Patriot Missile Systems Communications Specialist at Fort Bliss, Texas, a Command Post Node Team Chief at Fort Carson, Colorado, a Network Operations NCOIC at Fort Carson, Colorado, and a Recruiter in Concord, New Hampshire.
My passion for technology has driven me to develop a diverse skill set. From web development to software development in Python, I thrive in working on networking, cybersecurity, telephony, and satellite communications projects.
My ultimate career goal is to become a red team penetration tester. I'm driven by the challenge of identifying vulnerabilities and enhancing cybersecurity measures to protect critical data and systems.
With a strong dedication to my craft and an unwavering commitment to professional growth, I am eager to contribute my skills and expertise to the world of cybersecurity.
Thank you for visiting my website, and I look forward to connecting with you. Feel free to reach out through my provided contact information.


|
Identifying Adversarial Attacks on Text Classifiers arXiv preprint, 2021 Zhouhang Xie, Jonathan Brophy, Adam Noack, Wencong You, Kalyani Asthana, Carter Perkins, Sabrina Reis, Sameer Singh, Daniel Lowd |
|
|---|---|
|
An Empirical Study on the Relation between Network Interpretability and Adversarial Robustness Springer Nature, 2021 Adam Noack, Isaac Ahern, Dejing Dou, Boyang Li |
|
|
NormLime: A New Feature Importance Metric for Explaining Deep Neural Networks arXiv Preprint, 2019 Isaac Ahern, Adam Noack, Luis Guzman-Nateras, Dejing Dou, Boyang Li, Jun Huan |
|
|
AI-Human Collaboration Via EEG CSBSJU Digital Commons, 2018 A. Noack, B. Faber, M. Heroux |


NFL Week 11 coverage map: TV schedule for CBS, Fox regional broadcasts
by Tadd HaislopThe NFL coverage map for Week 11makes clear what CBS and Fox considerthe best games Sunday's NFL TV schedule has to offer.
In the early Sunday afternoon time slot for CBS, the majority of the country will see Texans at Ravens. In CBS' late Sunday afternoon window, almost the entire country will be presented Patriots at Eagles, the network's game of the week. Only a few markets will get Bengals at Raiders.
As for the early and late Sunday afternoon games on Fox, most of the country will get Cowboys at Lions, a game scheduled to kick off at 1 p.m. ET.
Below are the full NFL coverage maps for Week 11, plus a list of major TV markets and the CBS and Fox games that will be presented in each on Sunday.
WEEK 11 NFL PICKS:
Against the spread | Straight-up predictions
NFL coverage map Week 11
(NFL coverage maps courtesy of 506sports.com)
- Early CBS games
- Late CBS games
- Early and late Fox games
TV schedule for NFL Week 11 games
CBS coverage
- Texans at Ravens (1 p.m. ET)
- Broncos at Vikings (1 p.m. ET)
- Bills at Dolphins (1 p.m. ET)
- Jaguars at Colts (1 p.m. ET)
- Patriots at Eagles (4:25 p.m. ET)
- Bengals at Raiders (4:25 p.m. ET)
Fox coverage
- Cowboys at Lions (1 p.m. ET)
- Falcons at Panthers (1 p.m. ET)
- Jets at Redskins (1 p.m. ET)
- Saints at Buccaneers (1 p.m. ET)
- Cardinals at 49ers (4:05 p.m. ET)
List of Week 11 NFL games by TV market
(TV markets listed in order by size)
| Market | CBS early | Fox early | CBS late | Fox late |
| New York | Texans at Ravens | Jets at Redskins | Patriots at Eagles | - |
| Los Angeles | Texans at Ravens | Cowboys at Lions | Patriots at Eagles | - |
| Chicago | Broncos at Vikings | Cowboys at Lions | Patriots at Eagles | - |
| Philadelphia | Texans at Ravens | Cowboys at Lions | Patriots at Eagles | - |
| Dallas-Ft. Worth | Texans at Ravens | Cowboys at Lions | Patriots at Eagles | - |
| San Francisco/Bay area | Texans at Ravens | - | Bengals at Raiders | Cardinals at 49ers |
| Washington D.C. | Texans at Ravens | Jets at Redskins | Patriots at Eagles | - |
| Houston | Texans at Ravens | - | Patriots at Eagles | Cardinals at 49ers |
| Boston | Texans at Ravens | Cowboys at Lions | Patriots at Eagles | - |
| Atlanta | Texans at Ravens | Falcons at Panthers | Patriots at Eagles | - |
| Phoenix | Texans at Ravens | - | Patriots at Eagles | Cardinals at 49ers |
| Tampa/St. Petersburg | Jaguars at Colts | Saints at Buccaneers | Patriots at Eagles | - |
| Seattle | Texans at Ravens | - | Patriots at Eagles | Cardinals at 49ers |
| Detroit | Broncos at Vikings | Cowboys at Lions | Patriots at Eagles | - |
| Minneapolis-St. Paul | Broncos at Vikings | - | Patriots at Eagles | Cardinals at 49ers |
| Miami | Bills at Dolphins | - | Patriots at Eagles | Cardinals at 49ers |
| Denver | Broncos at Vikings | - | Patriots at Eagles | Cardinals at 49ers |
| Orlando | Jaguars at Colts | Saints at Buccaneers | Patriots at Eagles | - |
| Cleveland | Texans at Ravens | Cowboys at Lions | Patriots at Eagles | - |
| Sacramento | Texans at Ravens | - | Bengals at Raiders | Cardinals at 49ers |
| Charlotte | Texans at Ravens | Falcons at Panthers | Patriots at Eagles | - |
| Portland | Texans at Ravens | - | Patriots at Eagles | Cardinals at 49ers |
| St. Louis | Texans at Ravens | Cowboys at Lions | Patriots at Eagles | - |
| Pittsburgh | Texans at Ravens | Cowboys at Lions | Patriots at Eagles | - |
| Indianapolis | Jaguars at Colts | - | Patriots at Eagles | Cardinals at 49ers |
| Baltimore | Texans at Ravens | - | Patriots at Eagles | Cardinals at 49ers |
| Raleigh-Durham | Texans at Ravens | Falcons at Panthers | Patriots at Eagles | - |
| Nashville | Texans at Ravens | Cowboys at Lions | Patriots at Eagles | - |
| San Diego | Texans at Ravens | Cowboys at Lions | Patriots at Eagles | - |
| Salt Lake City | Broncos at Vikings | Cowboys at Lions | Patriots at Eagles | - |
| San Antonio | Texans at Ravens | Cowboys at Lions | Patriots at Eagles | - |
| Kansas City | Texans at Ravens | Cowboys at Lions | Patriots at Eagles | - |
| Columbus | Texans at Ravens | Cowboys at Lions | Patriots at Eagles | - |
| Milwaukee | Broncos at Vikings | Cowboys at Lions | Patriots at Eagles | - |
| Cincinnati | Texans at Ravens | Cowboys at Lions | Bengals at Raiders | - |
| Las Vegas | Texans at Ravens | Cowboys at Lions | Bengals at Raiders | - |
| Jacksonville | Jaguars at Colts | - | Patriots at Eagles | Cardinals at 49ers |
| Oklahoma City | Texans at Ravens | Cowboys at Lions | Patriots at Eagles | - |
| New Orleans | Texans at Ravens | Saints at Buccaneers | Patriots at Eagles | - |
| Memphis | Texans at Ravens | Cowboys at Lions | Patriots at Eagles | - |
| Buffalo | Bills at Dolphins | - | Patriots at Eagles | Cardinals at 49ers |


Part 2: Quote Picker
Walkthrough of the pseudo-random quotation picker.
Module Location: new-coder/network/talkback/quote_picker.py
Module Setup
We want to select from our list of quotes at random, so we use the random
library from Python’s standard library and import the choice function:
1 | from random import choice
|
This module does not generate or select quotes at “true” randomness. The random
module in Python generates pseudo-random number based off of the Mersenne twister. The choice
method uses random()
to generate a pseudo-random number between 0 and 1, multiply it by the number of items in the list to choose from, and index into the list.
QuotePicker class
Next, we need to define the behavior of how we want to grab a quote that our bot uses. We’ll create a class, class QuotePicker(object):
with two functions, __init__
and pick
:
1 2 3 4 5 6 7 8 9 10 11 | # <--snip-->
class QuotePicker(object):
def __init__(self, quotes_filename):
"""Initialize our QuotePicker class"""
# <--snip-->
def pick(self):
"""Return a random quote."""
# <--snip-->
|
We want to initialize our class with the file that we plan to pull a quote from. If you remember from earlier tutorials, Python has a few keywords and built-in functions for file input/output. We open our quote file using the with
keyword, which will implicitly take care of closing our quote file when we are done with the with
loop:
1 2 3 4 5 6 7 8 | # <--snip-->
def __init__(self, quotes_filename):
"""Initialize our QuotePicker class"""
with open(quotes_filename) as quotes_file:
# <--snip-->
# <--snip-->
|
Within the with
keyword, we label the opened file, open(quotes_filename)
as quotes_file
. We then read each line item in the quotes_file
(each quote is on its own line) with another built-in function, readlines
, and assign it to self.quotes
. This variable, self.quotes
, will be accessible to the rest of the QuotationPicker
class, including our next function, pick
.
1 2 3 4 5 6 7 8 | # <--snip-->
def __init__(self, quotes_filename):
"""Initialize our QuotePicker class"""
with open(quotes_filename) as quotes_file:
self.quotes = quotes_file.readlines()
# <--snip-->
|
For our pick
function, we use the choice
function we imported from random
to randomly pick a quote from self.quotes
variable we initialized in __init__
. To be safe, we use a built-in string method, strip
, to clean up any extraneous blank spaces and whitespace characters that may be before or after the quote itself.
Rather than creating a variable and assigning it choice(self.quotes).strip()
and then returning the variable, we simplify it by just returning choice(self.quotes).strip()
.
1 2 3 4 5 6 7 | # <--snip-->
def pick(self):
"""Return a random quote."""
return choice(self.quotes).strip()
# <--snip-->
|
The whole quote_picker.py
module put together:
1 2 3 4 5 6 7 8 9 10 11 12 13 | from random import choice
class QuotePicker(object):
def __init__(self, quotes_filename):
"""Initialize our QuotePicker class"""
with open(quotes_filename) as quotes_file:
self.quotes = quotes_file.readlines()
def pick(self):
"""Return a random quote."""
return choice(self.quotes).strip()
|
That was pretty simple, right? I hope! Now let’s move onto the bot module →


Jack Fincham throws shade at Kris Boyson for snap with Katie Price's daughter Princess
Kris Boyson come under fire from Jack Fincham when he shared his latest Instagram post with Katie Price's daughter
by Lily Waddell, https://www.mirror.co.uk/authors/lily-waddell/Jack Fincham laid into Katie Price's toyboy Kris Boyson for his latest Instagram post.
The Love Island 2018 winner proved overly critical of the model's social media picture which he uploaded on Sunday.
In the snap, Kris beamed brightly into the mirror for his selfie while he was photobombed by his girlfriend's daughter Princess.
They have developed a close bond since he started dating her mother Katie.
He joked in the caption: "Photobombed!"
Clearly unimpressed, the pen seller left a very sarcastic remark on Kris' latest Instagram post he had shared with his fans.
He wrote: "Ooooooo k den."
Katie had no qualms with the photograph as she posted a gushing comment beneath the picture of her daughter and her toyboy boyfriend.
She wrote: "You look handsome here and so cute That princess drives you nuts all the time."
Katie and Kris had been due to join the Celebs Go Dating line-up when Jack starred on the show earlier this year.
But the couple pulled the plug on their hotly-anticipated appearance which caused much disappointment among the cast and fans alike.
It is not known why Jack has decided to launch a venomous attack on Kris.


{% extends "polaris/base.html" %} {% load static %}
{% block "extra_body" %}
{% if not form and title == "Confirm Email" %}
{# Refresh the confirm email page whenever the user brings the popup #}
{# back into focus. This is not strictly necessary since deposit.html #}
{# and withdraw.html have 'Refresh' buttons, but this is a better UX. #}
{# Add a "Skip Confirmation" button that will make a GET request to the #}
{# skip confirmation endpoint and reload the page. The email confirmation #}
{# functionality is just for sake of demonstration anyway. #}
{% endif %}
{% endblock %}


Master Auron:
Now I'm a master who teaches young Fighters, but I was once a soldier for the Warrior League, walking the borderline between of life and death on the battlefield.
To be accepted into the Warrior League, there's no need for a noble birth or the lord's Recommendation. We accept any Fighter who has courage and spirit.
Say you want to become a Warrior


dollar-tree
Businessmodel of Dollar Tree
Customer Segments
Dollar Tree provides a customer base of general consumers with a range of products at discounted prices.
The Company’s Dollar Tree and Family Dollar-branded stores are targeted generally at lower income consumers, typically located so as to serve local communities. In 2014 it was reported that around 40% of Family Dollar’s customers had a household income of less than $25,000, which is slightly higher than the poverty level for a family of four. Dollar Tree is also popular with shoppers that are seeking to purchase products in bulk, often consumables such as candy, household products, and seasonal products.
Dollar Tree’s largest market is its native US. The Company, however, also serves customers in Canada, operating a Canada-focused unit named Dollar Tree Canada.
Value Propositions
Dollar Tree provides value to its customers in the following ways:
- Its low prices and sourcing structure, with the Company’s Dollar Tree and Family Dollar-branded stores providing merchandise at low prices, with products procured from a variety of sources and suppliers;
- Its domestic and regional sales reach, with the Company operating a broad network of more than 16,000 retail outlets across North America, situated in convenient locations from local communities;
- Its broad catalogue of products, with the Company offering a broad range of products across multiple categories, including consumables, household products, apparel and accessories, and seasonal and electronics; and
- Its accessibility, with the Company operating an online sales channel for its Dollar Tree stores, as well as a smart coupon service and mobile apps, which enables customer to utilise the Company’s services from anywhere. ### Channels
Dollar Tree operates websites for its two store brands at www.dollartree.com and www.familydollar.com, through which the Company provides information on its various products, its coupon services, and locations. The Company also operates an online sales channel through its Dollar Tree website, through which customers are able to make purchases and arrange deliveries, as well as a telephone sales channel. The Company also operates a Coupon for Family Dollar store app, which allows customers to access additional discounts and deals.
The majority of Dollar Tree’s sales are made through its network of physical retail outlets, including 5,954 Dollar Tree stores and 7,897 Family Dollar stores, where the Company’s sales and customer service staff deal with customers directly. The Company also operates 12 Dollar Tree distribution centres, ten in the US and 2 in Canada, and 11 Family Dollar distribution centres in the US, as well as store support centres in in Chesapeake, Virginia, and Matthews, North Carolina.
Dollar Tree also operates a network of affiliates, which help to extend the Company’s own marketing and sales reach.
Customer Relationships
Dollar Tree provides various services to its customer on a self-service basis, in particular through its online Dollar Tree store, through customers can purchase merchandise, organise deliveries, and track orders without interacting with members of the Company’s sales teams. The Company also offer coupon services that customers can access through their phones.
Throughout the Company’s network of more than 13,000 retail outlets, Dollar Tree employs a workforce of sales and customer service staff who are able to interact directly with customers, assist with queries and provide advice. The Company’s stores are designed to create an inviting atmosphere, including attractive merchandise displays, with a view to encouraging recurring business.
Dollar Tree provides certain support resources on its websites, including FAQs and recall information. Customers can also contact the Company customer support staff directly over the phone. Additionally, Dollar Tree operates a number of social media accounts under its Dollar Tree and Family Dollar brands, including with Facebook, Twitter, LinkedIn, and Pinterest.
Key Activities
Dollar Tree is an operator of discount variety stores, operating more than 13,000 discount variety retail stores across the US and Canada.
The Company’s operations are divided into two business segments: Dollar Tree which operates discount variety stores offering merchandise at a fixed price of $1.00 under the Family Tree brand; and Family Dollar, which operates a chain of general merchandise retail discount stores under the Family Dollar brand, which offer a selection of products in neighborhood stores.
The Company also operates stores under the Dollar Tree Canada, Deals, and Dollar Tree Deals brands. Dollar Tree operates its own distribution infrastructure, including distribution centres in the US and Canada and store support centres the US.
Key Partners
Dollar Tree collaborates with a network of partners throughout the process of purchasing, selling, and distributing its products. The Company’s partners include:
- Marketing and Affiliate Partners, comprising a range of companies, online retailers, and websites, which help to extend the Company’s marketing reach in return for commissions on sales;
- Supplier and Vendor Partners, comprising suppliers of merchandise, supplies and services, and logistics, which support the Company’s retail and distribution operations;
- Real Estate Partners, comprising real estate developers and property companies, with which the Company collaborates in identifying appropriate locations for its discount stores; and
- Transportation and Distribution Partners, comprising distribution and logistics companies that support the Company’ own distribution activities. Dollar Tree has a number of partnerships, including with PayNearMe, which provides payment solutions to the Company, and with Infosys, which provides technology services to the Company.
Key Resources
Dollar Tree’s key resources are its catalogue of products and merchandise, its physical network of retail outlets, its online and mobile platforms, its IT infrastructure, its distribution and logistics infrastructure, its partnerships – notably its suppliers, and its personnel.
Dollar Tree owns and or leases range of properties across the US and Canada that are material to its operations. This includes a chain of more than 13,000 retail outlets, including 5,945 under the Dollar Tree brand and 7,897 under the Family Dollar brand, as well as a combined network of 23 distribution centres and two store support centres under both brands.
Cost Structure
Dollar Tree incurs costs in relation to the acquisition of products and merchandise – as well as the procurement of additional services, the operation of its retail outlets, the development and maintenance of its online and mobile channels, the implementation of advertising and marketing campaigns, the maintenance of its IT infrastructure, the operation of its distribution and logistics infrastructure, the management of its partnerships, and the retention of its personnel.
In 2015 Dollar Tree accrued selling, general, and administrative costs – including advertising expenses and the payment of salaries and benefits to its workforce of 55,300 full-time and 112,500 part-time employees – amounting to $3.61 billion. The Company’s cost of sales was recorded at $10.84 billion, including occupancy costs, the cost of merchandise, and the cost of warehousing and distribution operations.
Revenue Streams
Dollar Tree generates revenue through the sale of various products and merchandise through its chain of Dollar Tree and Family Dollar-branded stores. The Company’s sales are segmented by product category:
- Consumable;
- Home products;
- Apparel and accessories; and
- Seasonal and electronics. In 2015 the Company generated total net sales for the year of $15.50 billion, up considerably on the $8.60 billion recorded by the Company in 2014. This was significant increase was attributed to the consolidation of Family Dollar’s operations into those of Dollar Tree. The majority of the Company’s sales are from its consumables product category, accounting for 68.4% of the Dollar Tree’s total sales for the year. Seasonal and electronics sales accounted for 15%, home products for 9.8%, and apparel and accessories for 6.8%.


Address 743 W Kneeland RoadMio, MI 48647 Contacts<EMAIL_ADDRESS>Phone 2: +1<PHONE_NUMBER>
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About Me
Basic Info
Preferred Name: Anna Giang
Preferred Pronoun: She/her
Birthday 12th November
Location: Melbourne, Victoria, Australia
Background
Aspiring software engineer. Penultimate year student in Bachelor of Software Engineering (Hons) and Bachelor of Arts (Chinese Studies and Korean Studies majors) at Monash University.
Experiences
STEP Intern at Google, 2020. Events Co-Director at Monash Association of Coding (MAC). Engagement Coordinator at Robogals Monash. Korean Language Facilitator for Monash Student Association. Previous Marketing Intern at the Korean Society of Victoria.
Interests and hobbies
- Coding competitions
Complete beginner at this. - Korean dramas and music.
Currently watching Start-Up, which is about a AI-tech startup, conveniently aligning with my passion for coding. - Chinese dramas and music.
Particularly a fan of historical Chinese dramas - they're long but worth it! - Reading
Mostly fiction novels, but currently branching into reading non-fiction.
Interesting facts about me
Generate a random fact about me!


H.B. Woodrose Seeds
My friends and I were bored one day and being that we are in Germany, we thought we would stop in and explore a German head shop. The place was full of the usual products you would expect to see in a headshop, except that on the counter was a sign that said 'Hawaiian Woodrose.' A friend of mine asked what it was, and the guy gave us a brief description of it being like a mild trip on LSD. We bought 10 seeds for 20 DM (about 10 bucks) and headed out on our way.
The next day we popped some seeds in at about 2 pm. The guy at the head shop had instructed us to first scrape all of the yellow coating off of the seeds, if you did not do this you would get very sick and nauseated. You were to then bite down on the seeds and just hold them there for awhile. After a while, we started munching harder and harder on them and they started breaking up into tiny seed chunks in our mouth.  I did not want to eat alot of food, for fear of combatting the trip, but I did drink a Pepsi so as to mask the taste. It only half worked, the seeds are very potent tasting.
Within an hour I was tripping hard. No hallucinations or anything mind you, but just a stoned feeling. I felt like I was thinking a thousand words a minute, but when I tried to talk, I could not!!! I would conscienciously think, ok, talk. But I would not be able to! My friends and I watched a movie and then went outside and sat on a picnic table. We sat there for what felt like two hours. Probably so, now that I think about it. Everything was just so entertaining and amusing. I was just staring at the ground with this intense peace of mind like everything was gonna be alright. We sat there giggling for awhile like little children. After awhile, we went inside and made some home made nachos and relaxed cuz my girlfriend got a severe case of the munchies. We all ate and the trip quickly started to subside. But this was after about four hours.
 Sex was very intense and I realized it was still affecting me. I could have gone on forever I think. Afterwards, I think the physical activity re-released the drug into my brain because I started to trip more. I started thinking of memories that I had not had since I was a little boy. Things that I used to think about as a child, and had slowly, with time, forgotten. But these memories were all rushing back to me. I felt a dire urge to call back home and just talk, to reminisce about things. I don't know, it was very strange. But once again I was very at ease with everything; family, my girlfriend, the future...
Anyways, the next day, I was not tripping, but I still felt really good and at ease with everything and I talked with my girlfriend about it and she realized I had changed for the better too. I was more at ease with things that before had troubled me between her and I. Even today, I think I have been slightly changed on the more positive side since then. I have done seeds since, both times with three seeds and the taste gets worse every time. I don't think I can handle the taste anymore, the last time I almost puked and could not get rid of the taste for what seemed like a couple of days.  I think I am done with them for awhile, but it was definitely an interesting and worthwhile experience!
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


shutdown
Section: Maintenance Commands (8)Updated: 2009-07-09
Index Return to Main Contents
NAME
shutdown - bring the system downSYNOPSIS
shutdown [OPTION]... TIME [MESSAGE]DESCRIPTION
shutdown arranges for the system to be brought down in a safe way. All logged-in users are notified that the system is going down and, within the last five minutes of TIME, new logins are prevented.TIME may have different formats, the most common is simply the word 'now' which will bring the system down immediately. Other valid formats are +m, where m is the number of minutes to wait until shutting down and hh:mm which specifies the time on the 24hr clock.
Once TIME has elapsed, shutdown sends a request to the init(8) daemon to bring the system down into the appropriate runlevel.
This is performed by emitting the runlevel(7) event, which includes the new runlevel in the RUNLEVEL environment variable as well as the previous runlevel (obtained from the environment or from /var/run/utmp) in the PREVLEVEL variable. An additional INIT_HALT variable may be set, this will contain the value HALT when bringing the system down for halt and POWEROFF when bringing the system down for power off.
OPTIONS
- -r
- Requests that the system be rebooted after it has been brought down.
- -h
- Requests that the system be either halted or powered off after it has been brought down, with the choice as to which left up to the system.
- -H
- Requests that the system be halted after it has been brought down.
- -P
- Requests that the system be powered off after it has been brought down.
- -c
- Cancels a running shutdown. TIME is not specified with this option, the first argument is MESSAGE.
- -k
- Only send out the warning messages and disable logins, do not actually bring the system down.
ENVIRONMENT
- RUNLEVEL
- shutdown will read the current runlevel from this environment variable if set in preference to reading from /var/run/utmp
FILES
- /var/run/utmp
- Where the current runlevel will be read from; this file will also be updated with the new runlevel.
- /var/log/wtmp
- A new runlevel record will be appended to this file for the new runlevel.
NOTES
The Upstart init(8) daemon does not keep track of runlevels itself, instead they are implemented entirely by its userspace tools.See runlevel(7) for more details.
AUTHOR
Written by Scott James Remnant<EMAIL_ADDRESS>BUGS
Report bugs at <https://launchpad.net/upstart/+bugs>COPYRIGHT
Copyright © 2009 Canonical Ltd.This is free software; see the source for copying conditions. There is NO warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
SEE ALSO
runlevel(7) init(8) telinit(8) reboot(8)
Index
This document was created by man2html, using the manual pages.
Time: 05:34:30 GMT, December 24, 2015


--- layout: post esbma_id: 1475 date: 2003-08-06 12:00:00 keywords: cornsharp title: PDC ---
Caving to the enormous peer pressure from other .NET bloggers, I have added the official PDC flair to the left sidebar of my site.


A collection of illustrations for a client's Indigenous education website; For inspiration, I researched imagery and symbolism within First Nations cultures and how my findings relate to Northwestern Ontario - in an educational sense. First there were rough sketches, followed by preliminary drawings, concluding with final illustrations created in Adobe Photoshop with a Wacom drawing tablet.


--- layout: default title: Projects amp-components: [amp-image-lightbox] permalink: /projects/ sitemap: priority: 1.0 changefreq: 'monthly' lastmod: 2018-05-21T00:00:00-05:00 ---
Fruits is a full-feature Jamstack e-commerce application. Wanting to improve my React and learn some new skills during the pandemic, I enrolled in Wes Bos'
Advanced React course.
The course helped me built the app, but I had to figure out how to deploy it.
Test Account:
U<EMAIL_ADDRESS>P: testing123
(Note: For best result, make sure backend is running before opening the frontend. Sorry I'm on free tier on Heroku!)
I have always been interested in creating intelligent chatbots. The very first chatbot I've ever built was very basic. It just utilized regex to predict the conversation.
Now with the advances in NLP and Machine Learning, there are platforms like IBM Watson Assistant and Rasa that can help you build and train intelligent chatbots.
Dbot is a chatbot that tries to represent me. It was built and trained using Rasa. It can improve the more training data I can give it.
You can try to chat and help the bot get better.
(Note: The repo is currently set to private, message me for access!)
A React app (served by Express) that lets you get lyrics for Spotify songs. Unfortunately, the Spotify Web Player only works if you are a premium user.
Spotify used to have the lyrics feature but was removed due to licensing. I love to read along with the song I'm listening to, so that is why I wanted to create this app.
Apposphere.io was a platform for various business modules such as a lead generator, a CRM, project management and financial tools. I worked with Apposphere to improve user experience by making modules more cohere and responsive.
Patently.ai aimed to make the process of filing patent easier by making patent discovery painless. It utilized machine learning and natural language processing tools to parse through all available US patents and provided similarity scores for a patent idea. I designed and developed the frontend of patently.ai’s search engine.
I wanted to create a nice simple blog that is both responsive and fast. After much research, I decided to utilize Jekyll and Google AMP. Jekyll offered a quick solution to get a blog up and running, while Google AMP optimized contents for fast delivery. However, with speed come great constraints since AMP have strict limits on what you can include in your pages.
A fun app I created with a classmate at Galvanize. The idea for this project is to provide a venue where you can upload and share posters of events happening around town. We just thought that posters are a great way to disseminate information. I contributed mainly on the back-end and authentication of this project.
This is the very first app I’ve created. I wanted to create a conversational interface that can be incorporated into any web page. The bot could answer simple questions or harder questions depend on how smart you make it. One possible implementation of the bot is to make the about page of any website more fun and interactive.
While exploring the idea of web-development, I enrolled in a one-month rails class to see how much I like it. This project is the product of that class. Albeit there was a lot of hand holding, I found making a web application fun and challenging, and it helped in solidifying my desire to become a web developer.


Habitat for Humanity is an international non-profit Christian organization that primarily builds new houses for impovershed families.
Families must meet certain specifications when it comes to income level and needs. For example, a family with a slightly higher income but an additional 2 kids might be deemed a more 'in need' family.
Families are not given the houses, but spend time doing construction and taking classes on talking care of a house and money management. They purchase the house and pay off a mortgage. What makes Habitat affordable is that the house is priced at the cost to build it, and the mortgage for the house is interest free.
Habitat relies on volunteer efforts for much of their construction process. It is a great way to gain construction skills while assisting in the community. To volunteer or to look into the homeowner's application process, visit your local Habitat's website.


Example illustrating options for coloring VCF variants
color function
INFO tag with color table
INFO tag with default colors
INFO tag with strokecolor
INFO tag with contexthook


[1]
a noisy city , were on the 19th floor and you can hear traffic and sirens .
[2]
for water replenished daily but it to you all at once on arrival which is silly .


Press release
Children with special educational needs and disabilities: voluntary and community organisations to play a key role in helping
This was published under the 2010 to 2015 Conservative and Liberal Democrat coalition government
Voluntary and community organisations will help deliver key reforms to support children with special educational needs (SEN) and disabilities, and their parents.
The Children’s Minister Sarah Teather today announced contracts involving voluntary and community organisations which will deliver the support, including the Council for Disabled Children and I CAN, the children’s communication charity.
The Department for Education is providing funding of around £6 million a year for two years to deliver the support.
The organisations will support the delivery of short breaks, provide greater information and help to parents, and help disabled young people and those with SEN prepare for employment, training and independent living after they leave school.
Children’s Minister Sarah Teather said:
We’re proposing some of the biggest reforms to special educational needs and to help disabled children and we’re testing out the best ways of doing this over the next year. But it’s important that children, young people and their families get help and support now, from organisations they trust.
That’s why we’re funding and extending programmes that have been successful so far and that parents have told us they value - like short breaks and helping young people make the often difficult transition from school to employment or training.
The successful contractors will provide knowledge and support on the delivery and improvement of local services and help the 20 SEN Green Paper pathfinder areas test some of the Government’s key reforms.
The organisations and contracts are:
-
The IMPACT consortium (SERCO in partnership with the Short Breaks Network): to help local authorities deliver their legal obligations to provide short breaks and involve parents in how short breaks are provided.
-
The Council for Disabled Children: to support local parent partnership services across England that provide parents with clear information about their rights and responsibilities under SEN legislation, along with local information about options and choices to meet their child’s SEN.
-
A consortium led by the National Development Team for Inclusion: to improve outcomes for young people with SEN and disabilities. The consortium will work with local authorities, schools, young people and their femployment, training and independent living after they leave school.
-
The ES Trust with the National Children’s Bureau: to extend the successful Early Support programme to improve the quality, consistency and coordination of services for disabled children over five years old (the programme is currently designed from birth to five years old) and help develop key worker training.
-
The Early Language Consortium, led by I CAN, the children’s communication charity: to introduce Early Language Development Training for people working with children up to five years old. The training amilies to raise aspirations in secondary school and plan for will focus on the importance of early language development to improve communication and language skills for all children, particularly those with SEN.
Notes for editors
-
Details of the contracts are available on the
Contracts Finder website
.
-
The contracts will run until 2013 initially with scope to extend for a further two years subject to agreement and satisfactory performance.
-
The Government previously announced that:
-
Contact-a-Family, a charity providing advice and support for the parents of disabled children, won the contract to strengthen parents’ involvement in local decision making across the country. Contact-a-Family will carry through the commitments in the SEN and Disability Green Paper to give parents more control over the support their child and family needs, and to fund parent forums in every local area.
-
A consortium led by Young Minds, linking with six other national organisations with experience of children’s mental health, have been appointed to build the capacity of voluntary and community sector organisations (VCSOs) to deliver early intervention mental health support to children and young people. The consortiumwill work with around 2,000 schools, 500 VCSOs andmore than 100 commissioners from local authorities, NHS and education in identifying barriers and developing sustainable solutions.
-
Achievement for All programme, aschool improvement approachwhich has successfully improved rates of progress for pupils with SEN and disabled pupils, has beenawarded to a consortium of PriceWaterhouseCoopers (PWC) and a new charity established by school leaders, Achievement for All (3As).
Website:
www.education.gov.uk/help/contactus


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Welcome to ABCSS, where you'll learn the ABC's of Web Design in the simplest and most straightfoward way possible. As you progress through the courses on this site, you'll be building a foundation for creating incredible experiences on the web. From static one page marketing sites to full-scale web applications, the skills you will develop over the next few weeks will help you define the future of the web!
Start LearningHave you ever wondered how some beautiful and unique websites are created? Nowadays there are plenty of options available for creating and hosting sites that are for people who only want to control their content (Wordpress.com for example), but the limited amount of designs available on these services leave much to be desired.
Perhaps you're a bit artistic, and while some of the themes available to you are nice, they don't necessarily capture your personality. Or maybe you just had your first million-dollar idea - trust us, you'll have more - but don't know how to create your vision. Maybe you're tired of your current boring desk job, and would like to try something completely different. If you've ever wanted to create for the web - instead of just consuming from it - then read on!
With ABCSS, you'll start by learning the basic building blocks any great Front-End Developer should have. We've created three different courses for you to take - each one building on the last. Feel like you already know what one course is teaching you? Move on to the next! You don't have to tackle them in any particular order, but a newbie might want to!
The Basics course will walk you through everything you need to know to get started making killer websites from scratch! We'll get you set up with the tools and concepts to start building your next great project!
In the Layout and Design course, we look at the technical side of implementing your vision using CSS. We'll also discuss some basic user experience concepts to keep in mind when creating designs.
The advanced interactions course takes a look at making our websites a bit more dynamic - both visually and via the use of data. With this course, we'll start to move away from building websites towards building data-centered web applications.
Jordan is a full-stack web developer and founder of Better Than Great. He has been building websites and feature-rich web applications for the past six years.


This is reminders.py
This is a freeware! You can clone it and edit it.
Send it to me
if you like!
Download it
here!
Feel free to read the readme file.
Check out my projects
here


Uses of Class
org.apache.sis.measure.ValueRange
-
Packages that use ValueRange Package Description org.apache.sis.measure Units of measurements, values related to measurement (like angles and ranges) and their formatters.org.apache.sis.metadata.iso Root package for ISO 19115 metadata about resources (data or services).org.apache.sis.metadata.iso.acquisition Information about the measuring instruments, the platform carrying them, and the mission to which the data contributes.org.apache.sis.metadata.iso.content Description of the dataset content.org.apache.sis.metadata.iso.distribution Information about the options for obtaining a resource (data or service).org.apache.sis.metadata.iso.extent Information about spatial, vertical, and temporal extent.org.apache.sis.metadata.iso.identification Information to uniquely identify the data or service.org.apache.sis.metadata.iso.lineage Information about the sources and production processes of a dataset.org.apache.sis.metadata.iso.spatial Information about the mechanisms (grid or vector) used to represent spatial data. -
-
Uses of ValueRange in org.apache.sis.measure
Constructors in org.apache.sis.measure with parameters of type ValueRange Constructor Description MeasurementRange(Class<E> type, ValueRange range, Unit<?> unit)
Constructs a range of the given type with values from the given annotation.NumberRange(Class<E> type, ValueRange range)
Constructs a range of the given type with values from the given annotation. -
Uses of ValueRange in org.apache.sis.metadata.iso
Methods in org.apache.sis.metadata.iso with annotations of type ValueRange Modifier and Type Method Description Integer
DefaultExtendedElementInformation. getMaximumOccurrence()
Maximum occurrence of the extended element. -
Uses of ValueRange in org.apache.sis.metadata.iso.acquisition
Methods in org.apache.sis.metadata.iso.acquisition with annotations of type ValueRange Modifier and Type Method Description Double
DefaultEnvironmentalRecord. getMaxRelativeHumidity()
Returns the maximum relative humidity along the flight pass during the photo flight. -
Uses of ValueRange in org.apache.sis.metadata.iso.content
Methods in org.apache.sis.metadata.iso.content with annotations of type ValueRange Modifier and Type Method Description Integer
DefaultSampleDimension. getBitsPerValue()
Returns the maximum number of significant bits in the uncompressed representation for the value in each band of each pixel.Double
DefaultBand. getBoundMax()
Returns the longest wavelength that the sensor is capable of collecting within a designated band.Double
DefaultBand. getBoundMin()
Returns the shortest wavelength that the sensor is capable of collecting within a designated band.Double
DefaultImageDescription. getCloudCoverPercentage()
Returns the area of the dataset obscured by clouds, expressed as a percentage of the spatial extent.Integer
DefaultImageDescription. getCompressionGenerationQuantity()
Returns the count of the number of lossy compression cycles performed on the image.Integer
DefaultFeatureTypeInfo. getFeatureInstanceCount()
Returns the number of occurrence of feature instances for this feature types, ornull
if none.Double
DefaultImageDescription. getIlluminationAzimuthAngle()
Returns the illumination azimuth measured in degrees clockwise from true north at the time the image is taken.Double
DefaultImageDescription. getIlluminationElevationAngle()
Returns the illumination elevation measured in degrees clockwise from the target plane at intersection of the optical line of sight with the Earth's surface.Double
DefaultBand. getNominalSpatialResolution()
Returns the smallest distance between which separate points can be distinguished, as specified in instrument design.Double
DefaultSampleDimension. getNominalSpatialResolution()
Returns the smallest distance between which separate points can be distinguished, as specified in instrument design.Integer
DefaultSampleDimension. getNumberOfValues()
Returns the number of values used in a thematic classification resource.Double
DefaultBand. getPeakResponse()
Returns the wavelength at which the response is the highest.Integer
DefaultBand. getToneGradation()
Returns the number of discrete numerical values in the grid data. -
Uses of ValueRange in org.apache.sis.metadata.iso.distribution
Methods in org.apache.sis.metadata.iso.distribution with annotations of type ValueRange Modifier and Type Method Description Double
DefaultMedium. getDensity()
Returns the density at which the data is recorded.Double
DefaultDigitalTransferOptions. getTransferSize()
Returns an estimated size of a unit in the specified transfer format, expressed in megabytes.Integer
DefaultMedium. getVolumes()
Returns the number of items in the media identified. -
Uses of ValueRange in org.apache.sis.metadata.iso.extent
Methods in org.apache.sis.metadata.iso.extent with annotations of type ValueRange Modifier and Type Method Description double
DefaultGeographicBoundingBox. getEastBoundLongitude()
Returns the eastern-most coordinate of the limit of the dataset extent.double
DefaultGeographicBoundingBox. getNorthBoundLatitude()
Returns the northern-most, coordinate of the limit of the dataset extent.double
DefaultGeographicBoundingBox. getSouthBoundLatitude()
Returns the southern-most coordinate of the limit of the dataset extent.double
DefaultGeographicBoundingBox. getWestBoundLongitude()
Returns the western-most coordinate of the limit of the dataset extent. -
Uses of ValueRange in org.apache.sis.metadata.iso.identification
Methods in org.apache.sis.metadata.iso.identification with annotations of type ValueRange Modifier and Type Method Description Double
DefaultResolution. getAngularDistance()
Returns the angular sampling measure.long
DefaultRepresentativeFraction. getDenominator()
Returns the denominator of this representative fraction.Double
DefaultResolution. getDistance()
Returns the ground sample distance.Double
DefaultResolution. getVertical()
Returns the vertical sampling distance. -
Uses of ValueRange in org.apache.sis.metadata.iso.lineage
Methods in org.apache.sis.metadata.iso.lineage with annotations of type ValueRange Modifier and Type Method Description Double
DefaultNominalResolution. getGroundResolution()
Returns the distance between consistent parts of (centre, left side, right side) adjacent pixels in the object space.Double
DefaultNominalResolution. getScanningResolution()
Returns the distance between consistent parts of (centre, left side, right side) adjacent pixels in the scan plane. -
Uses of ValueRange in org.apache.sis.metadata.iso.spatial
Methods in org.apache.sis.metadata.iso.spatial with annotations of type ValueRange Modifier and Type Method Description Integer
DefaultDimension. getDimensionSize()
Returns the number of elements along the axis.Integer
DefaultGeometricObjects. getGeometricObjectCount()
Returns the total number of the point or vector object type occurring in the dataset.Integer
DefaultGridSpatialRepresentation. getNumberOfDimensions()
Returns the number of independent spatial-temporal axes.Double
DefaultDimension. getResolution()
Returns the degree of detail in the grid dataset.
-


The rtrek
package provides datasets related to the Star Trek fictional universe and functions to assist with the data. It interfaces with Wikipedia, STAPI, Memory Alpha and Memory Beta to retrieve data, metadata and other information relating to Star Trek. It also contains local sample datasets covering a variety of topics such as Star Trek universe species data, geopolitical data, and summary datasets resulting from text mining analyses of Star Trek novels. The package also provides functions for working with data from other Star Trek-related R data packages containing larger datasets not stored in rtrek
.
Note: This package is in beta (and not just the quadrant). Breaking changes may occur.
Image: Example Leaflet map using non-geographic Star Trek map tiles.
Install the development version of rtrek
from GitHub with:
# install.packages("devtools")
devtools::install_github("leonawicz/rtrek")
Use the Star Trek API (STAPI) to obtain information on the whereabouts and whenabouts of the infamous character, Q. Specifically, retrieve data on his appearances and the stardates when he shows up. The first API call does a lightweight, unobtrusive check to see how many pages of potential search results exist for characters in the database. There are a lot of characters. The second call grabs only page two results. The third call uses the universal/unique ID uid
to retrieve data on Q. Think of these three successive uses of stapi
as safe mode, search mode and extraction mode.
library(rtrek)
library(dplyr)
stapi("character", page_count = TRUE)
#> Total pages to retrieve all results: 64
stapi("character", page = 2)
#> # A tibble: 100 x 24
#> uid name gender yearOfBirth monthOfBirth dayOfBirth placeOfBirth
#> <chr> <chr> <chr> <int> <lgl> <lgl> <chr>
#> 1 CHMA000~ Stevi~ <NA> NA NA NA <NA>
#> 2 CHMA000~ Yeggie M NA NA NA <NA>
#> 3 CHMA000~ Arex M NA NA NA <NA>
#> 4 CHMA000~ Joseph M NA NA NA <NA>
#> 5 CHMA000~ J. Zi~ <NA> NA NA NA <NA>
#> 6 CHMA000~ Doyle M NA NA NA <NA>
#> 7 CHMA000~ Butler M NA NA NA <NA>
#> 8 CHMA000~ Lito M NA NA NA <NA>
#> 9 CHMA000~ B. Mo~ <NA> NA NA NA <NA>
#> 10 CHMA000~ Anna ~ <NA> NA NA NA <NA>
#> # ... with 90 more rows, and 17 more variables: yearOfDeath <int>,
#> # monthOfDeath <lgl>, dayOfDeath <lgl>, placeOfDeath <lgl>,
#> # height <int>, weight <int>, deceased <lgl>, bloodType <lgl>,
#> # maritalStatus <chr>, serialNumber <chr>, hologramActivationDate <lgl>,
#> # hologramStatus <lgl>, hologramDateStatus <lgl>, hologram <lgl>,
#> # fictionalCharacter <lgl>, mirror <lgl>, alternateReality <lgl>
Q <- "CHMA0000025118" #unique ID
Q <- stapi("character", uid = Q)
Q$episodes %>% select(uid, title, stardateFrom, stardateTo)
#> uid title stardateFrom stardateTo
#> 1 EPMA0000001458 All Good Things... 47988.0 47988.0
#> 2 EPMA0000001329 Q Who 42761.3 42761.3
#> 3 EPMA0000001377 Qpid 44741.9 44741.9
#> 4 EPMA0000000483 Encounter at Farpoint 41153.7 41153.7
#> 5 EPMA0000000651 Tapestry NA NA
#> 6 EPMA0000000845 Q-Less 46531.2 46531.2
#> 7 EPMA0000162588 Death Wish NA NA
#> 8 EPMA0000001413 True Q 46192.3 46192.3
#> 9 EPMA0000001510 The Q and the Grey 50384.2 50392.7
Live long and prosper.


Nzinga Holloman
Hello! Welcome to my portfolio.
About Me
My Projects
Flash Card App
View code for this App on my GitHub.
View code for this App on my GitHub.


Simulations for this study were conducted in the National Center for Atmospheric Research Community Atmosphere Model 5 (NCAR CAM5), the atmospheric component of the Community Earth System Model 1 52, coupled to a mixed-layer ocean. Mixed-layer coupling provides benefits in decreased computational intensity compared to full-ocean coupling, and has been found to lead to similar responses to full ocean coupling in the CESM model suite using an earlier version of the CESM atmospheric model 53. This similarity is expected to hold with use of CAM5 54. Simulations using CAM5 coupled to a slab ocean have been widely used in the peer-reviewed literature 54– 56, including to assess the climate response to aerosols 57, 58. NCAR CAM5 contains a fully interactive aerosol scheme, which transports and removes the emitted aerosols according to the model’s meteorology. We use the CAM5 model with its three mode modal aerosol module (MAM3) 59, containing internal mixing of black carbon, sulfate, and organic carbon with other aerosol species using the volume mixing rule. Refractive indices for sulfate and organic carbon are taken from Hess et al. 60 and for black carbon is taken from Bond et al. 61. CAM5 also includes aerosol indirect effects on clouds and the radiative effects of black carbon deposition on ice.
Nine 100-year, repeating annual cycle simulations were conducted in CAM5 coupled to the mixed-layer ocean: one control simulation, and eight regionally perturbed simulations. The control simulation is a year 2000 climate with non-biomass burning anthropogenic black carbon, organic carbon, sulfur dioxide (SO 2), and sulfate (SO 4) emissions fields set to 1850 values. In each of the eight regionally perturbed simulations, the relevant region is populated with that region’s year 2000 values, scaled at every regional grid point and time step to achieve additional total annual emissions equivalent to China’s total year 2000 values: 22.4 Tg sulfate precursor, 1.61 Tg of black carbon emissions, and 4.03 Tg of organic carbon emissions. The 1850 and 2000 baseline emissions fields on which these are based are CAM5’s standard historical emissions fields 1, and the resulting emissions fields used to drive simulations are publicly accessible to allow for replication in other model suites (see Data availability).
The eight regions were defined according to the Intergovernmental Panel on Climate Change’s regional definitions, and are shown in Fig. 1a. These eight geopolitical regions were selected to sample major past, present, or projected future emitting economies located in a range of climate regimes. Western Europe and the United States, major emitting regions over the historical period, were chosen to sample the response to aerosols emitted in Northern Hemisphere mid-latitude climate regions with different longitudinal locations and associated storm track regimes. India and China, current major emitting regions, were chosen to capture the response to two different monsoonal paradigms. The projected potential future emitting regions 62, Indonesia, Brazil, East Africa, and South Africa, were chosen to assess the impact of aerosols emitted in the following respective climate regimes: the deep convective western Pacific warm pool region, the Pacific and Atlantic basin branches of the Intertropical Convergence Zone, and the Southern Hemisphere midlatitudes. The regional signals cited throughout the manuscript are calculated as the difference between the corresponding regionally perturbed simulation and the control simulation over the final 60 years of each simulation.
Although black carbon, sulfate, and organic carbon aerosol have somewhat opposing optical properties and global-mean top-of-atmosphere radiative effects, which can complicate analysis when they are co-emitted, we choose to include all of these species in each simulation. The species are co-emitted by many industrial processes, and their mitigation and growth often occur in tandem—a characteristic seen in their Representative Concentration Pathway and Shared Socioeconomic Pathway trajectories 28, 29. Analyzing the climate effects of their simultaneous mitigation or growth, therefore, is likely to provide a better proxy for the climate effects of economy-wide transitions in aerosol emissions, as has been the historical norm and as is projected across the current suite of emissions scenarios used by the climate modeling and policy communities. Simulations that include only one aerosol species may not be additive, particularly in regional responses 63, reducing their utility in assessing the climate response to changes in multiple aerosol species simultaneously, as has been the dominant mode of aerosol emission change in reality. Future work will aim to illuminate the degree of additivity in the multi-species response through comparison with a planned suite of complementary single species simulations.
Effective radiative forcing (ERF) values are calculated using a suite of 9 CAM5 simulations formulated in the same way as the mixed-layer ocean simulations described above, but with the mixed-layer ocean and sea ice module replaced with a repeating annual cycle of observed year 2000 sea surface temperatures (SSTs) and sea ice coverage. These simulations are run for 60 years, the model equilibrates within the first 20 years, and the final 40 years of the simulation are used in the ERF calculation. The ERF is calculated as the top-of-atmosphere radiative imbalance between the control and regional fixed-SST simulation, i.e., after atmospheric and land surface temperatures have been allowed to adjust to the regional emissions. This follows the Fixed SST radiative forcing definition described in Myhre et al. 27.
Top-of-atmosphere radiative feedbacks are calculated via standard radiative kernel methods 64– 66, using radiative kernels generated in the NCAR CESM-CAM5 model 67 and associated kernel calculation code provided by Pendergrass ( https://github.com/apendergrass/cam5-kernels). Use of radiative kernels generated within the same climate model as the simulations to which they are applied, as is the case here, is generally considered to be best practice for reducing errors associated with differences in radiative transfer codes between climate models 64, 68.
The radiative kernel for a given feedback process consists of gridded monthly values of the radiative perturbation induced by a prescribed change in a given feedback process, such as surface albedo or atmospheric water vapor. These gridded kernels are then multiplied by the monthly change in the relevant feedback process for each of the regional emissions signals (see Simulations and analysis), normalized by the prescribed change used to derive the kernel. This process is used to calculate the feedbacks due to all process other than the cloud radiative feedback. The cloud radiative feedback is calculated using the adjusted cloud radiative effect method 64. In this method, a cloud radiative effect is calculated as the difference between the all-sky and clear-sky (i.e., non-cloud-permitting) top-of-atmosphere radiative imbalance. This cloud radiative effect is then adjusted for potential contamination by non-cloud factors through subtraction of the kernel-calculated cloudy-sky (i.e., all-sky kernel minus clear-sky kernel) values of the other feedbacks. This method has been shown to provide a reliable estimate for cloud feedbacks relative to other, more computationally prohibitive, methods 47.
Error ranges for the values in Figs. 1, 3, and 4, Supplementary Figs. 4 and 6, and Supplementary Table 1 are calculated as the standard error of the mean, using the final 60 years of each simulation’s data, with the exception of the ERF values in Supplementary Table 1, which use the final 40 years of the Fixed SST simulations’ data. In each case an effective sample size is calculated, accounting for any autocorrelation in the time series 69. The statistical significance masking in Fig. 2 and Supplementary Figs. 1, 2, 3, 7, and 8 is calculated using a one-sample t-test, again using the final 60 years of model data with an effective sample size adjusted for autocorrelation 69. Supplementary Fig. 5 is calculated using the final 40 years of the Fixed SST simulation data. Regions with gridlines in these figures indicate signals that are not significant at the 95% confidence level. Error ranges provided for R values are calculated using jackknife resampling 70, in which the R value is recalculated seven times, dropping one of the regions each time.
The code for the NCAR CESM model is publicly available at http://www.cesm.ucar.edu/models/. The code used to set up the simulations used in this study and to analyze data is available from the authors upon request.
Emissions input fields used to drive the simulations are available at https://drive.google.com/drive/folders/1ggEJ4J6vrwk6HDYAFI2lgYhmYjRkJ8kk?usp=sharing. Simulation output evaluated in this study are available from the authors upon request.


Chicken pot pie
Ingredients
- 500g sweet potatoes
- 1bsp olive oil
- 1 large onion
- 3 thyme sprigs (or more)
- 2 garlic cloves (or more)
- 350g chicken breasts, cut into chunks
- 250 chestnut mushrooms
- 300ml chicken stock
- 100g creme fraiche (or coconut creme)
- 100g kale
- 2 tsp cornflour, mixed with 1tbsp cold water
- 1 tbsp wholegrain mustard
- 375g pack puff pastry
Steps
- 1. Bring a pot to boil. Peel and cut sweet potato into rough 1 inch cubes. Boil until a fork will stick into the pieces with a slight push.
- 2. (Simultaneously) Heat 1/2 tbsp oil over a gentle heat in a flameproof casserole dish. Add the onion and cook for 5 mins until softening. Scatter over the thyme and garlic, and stir for 1 min. Turn up the heat and add the chicken, frying until golden but not fully cooked. Add the mushrooms and the remaining oil. Heat oven to 200C/180 fan/gas 6.
- 3. Add the stock, crème fraîche, mustard and kale, and season well. Add the cornflour mixture and stir until thickened a little (this mixture should be made earlier in the process for best results).
- 4. Remove from the heat and cover with the puff pastry lid, pressing into the sides of the casserole dish. Slice a cross in the centre and glaze with the egg. Bake for 30 mins until the pastry is puffed up and golden.


Get your favorite Chuck Norris Joke
Know your favorite? What's the id number?
Get joke
Chuck Norris doesn't read books. He stares them down until he gets the information he wants.
Or did you want a random joke?
Get them here!


--- layout: post title: "Get interface addresses in a scriptable format in Linux" ---
I noticed it's annoyingly difficult to get the IP addresses assigned to your network interfaces for scripting purposes.
I ended up writing the fairly simple one-liner below that lists all IPv4 addresses (change -4 to -6 for IPv6) in the format "interface-address", e.g. "eth0-<IP_ADDRESS>".
It also ignores the loopback address since that's generally quite irrelevant.
I personally used this to check which interfaces a certain program was communicating over and send me alerts if it uses the wrong interface.
You can then use this in your scripts for something like:
{% highlight bash linenos %} eth0ip=$(ip -o -4 addr show | grep -v '<IP_ADDRESS>' | awk '{print $2"-"$4}' | cut -d'/' -f1 | grep 'eth0-' | cut -d'-' -f2) {% endhighlight %}This is the end result script, without the action I implemented later when "illegal" connections were detected.
{% highlight bash linenos %} #!/usr/bin/env bash # Which program to check for program="httpd" # Which interface to check for interface="eth0" # Find the IP address for the interface interfaceip=$(ip -o -4 addr show | grep -v '<IP_ADDRESS>' | awk '{print $2"-"$4}' | cut -d'/' -f1 | grep "${interface}-" | cut -d'-' -f2) echo "Interface ${interface} IP address is ${interfaceip}" # Check how many connections the program has with the eth0 IP address connections=$(netstat -4 -6 -plan 2>&1 | grep "/${program}" | grep "${interfaceip}" | wc -l) echo "${program} has ${connections} open connections on interface ${interface}" if [ ${connections} -gt 0 ]; then echo "${program} has connections on interface ${interface}, but it shouldn't. Bad ${program}." exit 1 fi echo "No connections from ${program} on interface ${interface}" exit 0 {% endhighlight %}


An application that opens any file type for viewing.
This is the basic form of the application; viewers will be added for more file formats as time goes on.
Copyright 2021 fredjtUniversal File Reader is protected under the MIT License


2048
Score
Best score
New game
This game is still under development, thanks.
Made with 💙 by Anush kumar N


--- layout: error_page title: Slow Down ---
The web server is returning a rate limiting notification .
Try This Page AgainThis error means you have exceeded the request rate limit for the the web server you are accessing.
Rate Limit Thersholds are set higher than a human browsing this site should be able to reach and mostly for protection against automated requests and attacks.
If you're a site vistor
The best thing to do is to slow down with your requests and try again in a few minutes. We apologize for any inconvenience.
If you're the site owner
This error is mostly likely very brief, the best thing to do is to check back in a few minutes and everything will probably be working normal agian. If the error persists, contact your website host.


Greetings !
Who is aadil ?
Aadil is a student at Riara, studying Bachelors business information technology
Why Did I Join Moringa School ?
I believe at moringa I can be empowered with a good skillset that will allowme to prosper whether be it in employment or in my own personal ventures.
Job Experience
- Worked retail in Hardware
- Worked as clerk at Galaxy Paints warehouse
- Worked at Sadolin ATM department


{% extends "kishore/auth/base.html" %} {% load i18n %} {% block auth_content %}
Signed out. Sign in again.


Randomize Stats


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Load application resources from a known path.
Loading resources by specifying relative paths to filenames is often problematic in Python, as the working directory is not necessarily the same directory as the application's script files.
This module allows applications to specify a search path for resources. Relative paths are taken to be relative to the application's __main__ module. ZIP files can appear on the path; they will be searched inside. The resource module also behaves as expected when applications are bundled using py2exe or py2app.
As well as providing file references (with the file function), the resource module also contains convenience functions for loading images, textures, fonts, media and documents.
3rd party modules or packages not bound to a specific application should construct their own Loader instance and override the path to use the resources in the module's directory.
The resource path path (see also Loader.__init__ and Loader.path) is a list of locations to search for resources. Locations are searched in the order given in the path. If a location is not valid (for example, if the directory does not exist), it is skipped.
Locations in the path beginning with an ampersand (''@'' symbol) specify Python packages. Other locations specify a ZIP archive or directory on the filesystem. Locations that are not absolute are assumed to be relative to the script home. Some examples:
# Search just the `res` directory, assumed to be located alongside the # main script file. path = ['res'] # Search the directory containing the module `levels.level1`, followed # by the `res` directory. path =<EMAIL_ADDRESS>'res']
Paths are always case-sensitive, even if the filesystem is not. This avoids a common programmer error when porting applications between platforms.
The default path is ['.']. If you modify the path, you must call reindex.
Since: pyglet 1.1
|
ResourceNotFoundException
The named resource was not found on the search path.
|
|
|
Location
Abstract resource location.
|
|
|
FileLocation
Location on the filesystem.
|
|
|
ZIPLocation
Location within a ZIP file.
|
|
|
URLLocation
Location on the network.
|
|
|
Loader
Load program resource files from disk.
|
| str |
get_script_home()
Get the directory containing the program entry module.
|
| str |
get_settings_path(name)
Get a directory to save user preferences.
|
|
reindex()
Refresh the file index.
|
|
| file object |
file(name,
mode=' rb ' )
Load a resource.
|
| Location |
location(name)
Get the location of a resource.
|
|
add_font(name)
Add a font resource to the application.
|
|
| Texture |
image(name,
flip_x=False,
flip_y=False,
rotate=0)
Load an image with optional transformation.
|
| Animation |
animation(name,
flip_x=False,
flip_y=False,
rotate=0)
Load an animation with optional transformation.
|
| list |
get_cached_image_names()
Get a list of image filenames that have been cached.
|
| list |
get_cached_animation_names()
Get a list of animation filenames that have been cached.
|
| list |
get_texture_bins()
Get a list of texture bins in use.
|
| media.Source |
media(name,
streaming=True)
Load a sound or video resource.
|
| Texture |
texture(name)
Load a texture.
|
| FormattedDocument |
html(name)
Load an HTML document.
|
| FormattedDocument |
attributed(name)
Load an attributed text document.
|
| UnformattedDocument |
text(name)
Load a plain text document.
|
| list of str |
get_cached_texture_names()
Get the names of textures currently cached.
|
| list of str |
path =
Default resource search path.
|
Get the directory containing the program entry module.
For ordinary Python scripts, this is the directory containing the __main__ module. For executables created with py2exe the result is the directory containing the running executable file. For OS X bundles created using Py2App the result is the Resources directory within the running bundle.
If none of the above cases apply and the file for __main__ cannot be determined the working directory is returned.
Get a directory to save user preferences.
Different platforms have different conventions for where to save user preferences, saved games, and settings. This function implements those conventions. Note that the returned path may not exist: applications should use os.makedirs to construct it if desired.
On Linux, a hidden directory name
in the user's home directory is
returned.
On Windows (including under Cygwin) the name
directory in the user's
Application Settings directory is returned.
On Mac OS X the name
directory under ~/Library/Application Support
is returned.
Refresh the file index.
You must call this method if path is changed or the filesystem layout changes.
'
rb
'
)
Get the location of a resource.
This method is useful for opening files referenced from a resource. For example, an HTML file loaded as a resource might reference some images. These images should be located relative to the HTML file, not looked up individually in the loader's path.
Add a font resource to the application.
Fonts not installed on the system must be added to pyglet before they can be used with font.load. Although the font is added with its filename using this function, it is loaded by specifying its family name. For example:
resource.add_font('action_man.ttf') action_man = font.load('Action Man')
Load an image with optional transformation.
This is similar to texture, except the resulting image will be packed into a TextureBin if it is an appropriate size for packing. This is more efficient than loading images into separate textures.
Load an animation with optional transformation.
Animations loaded from the same source but with different transformations will use the same textures.
Get a list of image filenames that have been cached.
This is useful for debugging and profiling only.
Get a list of animation filenames that have been cached.
This is useful for debugging and profiling only.
Get a list of texture bins in use.
This is useful for debugging and profiling only.
Load a sound or video resource.
The meaning of streaming
is as for media.load. Compressed
sources cannot be streamed (that is, video and compressed audio
cannot be streamed from a ZIP archive).
Load a texture.
The named image will be loaded as a single OpenGL texture. If the dimensions of the image are not powers of 2 a TextureRegion will be returned.
Load an attributed text document.
See pyglet.text.formats.attributed for details on this format.
Default resource search path.
Locations in the search path are searched in order and are always case-sensitive. After changing the path you must call reindex.
See the module documentation for details on the path format.
|
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|---|
| Generated by Epydoc 3.0beta1 on Sun Mar 22 20:15:38 2009 | http://epydoc.sourceforge.net |


Black Jack
{{ 'Score: ' + score }}
Hit
Stand
Deal
Player
{{ playerScore }}
Dealer
{{ playing ? '?' : dealerScore }}


growth_over_time.Rd
A start-to-finish download and analysis! This function, given a range of dates, a subset of data, and a grouping set, will produce an estimate of how foot traffic to those groups has changed over that date range within that subset.
growth_over_time( dates, by, ma = 7, dir = ".", old_dir = NULL, new_dir = NULL, filelist = NULL, filelist_norm = NULL, start_dates = NULL, filter = NULL, naics_link = NULL, origin = 0, key = NULL, secret = NULL, make_graph = FALSE, graph_by = NULL, line_labels = NULL, graph_by_titles = NULL, test_run = TRUE, read_opts = NULL, processing_opts = NULL, graph_opts = list(title = data.table::fcase(is.null(graph_by) & is.null(by), "SafeGraph Foot Traffic Growth", is.null(graph_by), paste("SafeGraph Foot Traffic Growth by", paste(by, collapse = ", ")), min(by %in% graph_by) == 1, "SafeGraph Foot Traffic Growth", default = paste("SafeGraph Foot Traffic Growth by", paste(by[!(by %in% graph_by)], collapse = ", ")))), patterns_backfill_date = "2020/12/14/21/", norm_backfill_date = "2020/12/14/21/" )
| dates | The range of dates to cover in analysis. Note that (1) analysis will track growth relative to the first date listed here, and (2) if additional, earlier dates are necessary for the |
|---|---|
| by | A character vector of variable names to calculate growth separately by. You will get back a data set with one observation per date in |
| ma | Number of days over which to take the moving average. |
| dir | The folder where the |
| old_dir | Where "old" (pre-December 7, 2020) files go, if not the same as |
| new_dir | Where "new" (post-December 7, 2020) files go, if not the same as |
| filelist | If your data is not structured as downloaded from AWS, use this option to pass a vector of (full) filenames for patterns CSV.GZ data instead of looking in |
| filelist_norm | If your data is not structured as downloaded from AWS, use this option to pass a vector of (full) filenames for normalization CSV data instead of looking in |
| start_dates | If using the |
| filter | A character variable describing a subset of the data to include, for example |
| naics_link | Necessary only to |
| origin | The value indicating no growth/initial value. The first date for each group will have this value. Usually 0 (for "0 percent growth") or 1 ("100 percent of initial value"). |
| key | A character string containing an AWS Access Key ID, necessary if your range of dates extends beyond the files in |
| secret | A character string containing an AWS Secret Access Key, necessary if your range of dates extends beyond the files in |
| make_graph | Set to TRUE to produce (and return) a nicely-formatted graph showing growth over time with separate lines for each |
| graph_by | A character vector, which must be a subset of |
| line_labels | A |
| graph_by_titles | A |
| test_run | Runs your analysis for only the first week of data, just to make sure it looks like you want. |
| read_opts | A named list of options to be sent to |
| processing_opts | A named list of options to be sent to |
| graph_opts | A named list of options to be sent to |
| patterns_backfill_date | Character variable with the folder structure for the most recent |
| norm_backfill_date | A character string containing the series of dates that fills the X in |
This goes from start to finish, downloading any necessary files from AWS, reading them in and processing them, normalizing the data by sample size, calculating a moving average, and returning the processed data by group and date. It will even make you a nice graph if you want using graph_template
.
Returns a data.table
with all the variables in by
, the date
, the raw visits_by_day
, the total_devices_seen
normalization variable, the adj_visits
variable adjusted for sample size, and growth_visits
, which calculates growth from the start of the dates
range. If make_graph
is TRUE
, will instead return a list where the first element is that data.table
, and the second is a ggplot
graph object.
Be aware:
1. This will only work with the visits_by_day
variable. Or at least it's only designed to. Maybe you can get it to work with something else.
2. This uses processing_template
, so all the caveats of that function apply here. No attempt will be made to handle outliers, oddities in the data, etc.. You get what you get. If you want anything more complex, you'll have to do it by hand! You might try mining this function's source code (just do foot_traffic_growth
in the console) to get started.
3. Each week of included data means a roughly 1GB AWS download unless it's already on your system. Please don't ask for more than you need, and if you have already downloaded the data, please input the directory properly to avoid re-downloading.
4. This requires data to be downloaded from AWS, and will not work on Shop data. See read_many_shop
followed by processing_template
for that.
5. Be aware that very long time frames, for example crossing multiple years, will always be just a little suspect for this. The sample changed structure considerably from 2019 to 2020. Usually this is handled by normalization by year and then calculation of YOY change on top of that. This function doesn't do that, but you could take its output and do that yourself if you wanted.
TO BE ADDED SOON: Sample size adjustments to equalize sampling rates, and labeling.
if (FALSE) { data(state_info) p <- growth_over_time(lubridate::ymd('2020-12-07') + lubridate::days(0:6), by = c('region', 'brands'), filter = 'brands %in% c("Macy\'s", "Target")', make_graph = TRUE, graph_by = 'region', graph_by_titles = state_info[, .(region, statename)], test_run = FALSE) # The growth data overall for the growth of Target and Macy's in this week p[[1]] # Look at the graph for the growth of Target and Macy's in this week in Colorado p[[2]][[6]] }


{# Media Filter and Search Controls #} {% import<EMAIL_ADDRESS>as pitonMacro %}


Catalog of 19th Century Firearms
| Model Name | Model Image | Country | Caliber (ins) | Action Type | Ammunition | Load Capacity | Velocity (fps) | Rate of Fire (rpm) | Effective Range (yds) | Start Service (yr) | End Service (yr) | Manufacturer | Number Produced | Description |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| {{firearm.modelName}} | {{firearm.country}} | {{firearm.caliber}} | {{firearm.actionType}} | {{firearm.ammunition}} | {{firearm.capacity}} | {{firearm.velocity}} | {{firearm.rateOfFire}} | {{firearm.range}} | {{firearm.startService}} | {{firearm.endService}} | {{firearm.manufacturer}} | {{firearm.numProduced}} | {{firearm.description}} |


Copyright (c) 1962 Martin Gardner
Hexapawn is played on a NxM square board. Here is the simpler version setup:
|
Robert Price says: Hexapawn was designed to illustrate mechanical game-players by Martin Gardner, the well-known Scientific American mathematics columnist (`Mathematical Games`, Scientific American, March 1962; reprinted in `The Unexpected Hanging and Other Mathematical Diversions`, Chapter 8). University Students of Computer Science are frequently given the problem of designing a program to play Hexapawn against a human. I saw such a program in an old book full of BASIC programs. It let the user make the first move, because it was a `good sport`. Little does the unsuspecting user know, there exists a perfect strategy for the second player (in the 3x3 version)! [...] The game is guaranteed to terminate, because no move can ever be `undone`, and a draw is impossible. Therefore, one player can find a winning strategy (The 4x4 and 5x5 version are wins for the first player).
| An example
White advances b2 to b3, then a4:b3, c2:b3, c5-c4, b3:c4, b5:c4, d3:c4 and White wins! |
There is a ZRF to play Hexapawn with Zillions, which presents several variants of the game. There is a related game called Breakthrough.


Tree
Tree example in action.
Tree example
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