scrollnav includes some default settings that work for most situations, but if your project requires a bit more customization, scrollnav can most likely meet those. To modify either, pass in a single object (include settings and options as one object) as the second argument like this:
scrollnav.init(content, {
key: value
});
Default settings
The following settings are editable to overwrite the default.
{
sections: 'selector',
// string
//
// Sets the querySelector for the content's section landmarks, by default
// it's 'h2'.
insertTarget: targetNode,
// HTML Node
//
// Sets the target Node for injecting the navigation, by default it's the
// content Node passed to scrollnav.
insertLocation: 'relativeLocation'
// string
//
// Sets the injection location relative to the insertTarget, by default it's
// 'before'.
//
// available options are 'append', 'prepend', 'after', or 'before'
easingStyle: 'easingName',
// string
//
// Sets the easing type for the scroll animation that is triggered by the
// click event on a nav item, by default it's 'easeOutQuad'.
//
// available options are 'linear' 'easeInQuad', 'easeOutQuad',
// 'easeInOutQuad', 'easeInCubic', 'easeOutCubic', 'easeInOutCubic',
// 'easeInQuart', 'easeOutQuart', 'easeInOutQuart', 'easeInQuint',
// 'easeOutQuint', easeInOutQuint
updateHistory: true
// boolean
//
// Sets the history behavior when a nav item is clicked, by default it's true
}
Additional options
These additional options are editable but are not set by default.
{
subSections: '...',
// string
//
// Sets the querySelector for the content's sub-section landmarks.
onScroll: function() {...},
// function
//
// Sets the callback to be triggered after the window scrolls when triggered
// by the click event on a nav item.
onInit: function() {...},
// function
//
// Sets the callback to be triggered after the .init() method has completed.
onUpdatePositions: function() {...},
// function
//
// Sets the callback to be triggered after the .updatePositions() method
// has completed.
onDestroy: function() {...},
// function
//
// Sets the callback to be triggered after the .destroy() method has
// completed.
debug: false
// boolean
//
// Enables scrollnav's built in debug mode to log errors to the console and
// display the active area threshold on screen, helpful for when you've hit a
// snag you can't easily identify.
}
Available methods
In addition to the .init()
method scrollnav provides two additional public
methods.
destroy()
To remove the current instance of scrollnav call the destroy method. If you
need to trigger a callback after scrollnav has been removed, use the
onDestroy
option described above (passed either in the original init or with
the destroy method).
scrollnav.destroy();
updatePositions()
scrollnav doesn’t track outside DOM changes. If your page’s content is dynamic
and updates after scrollnav is initialized you’ll need to recalcuate the
position data with the updatePositions method. If you need to trigger a
callback after the position data has been recalculated, use the
onUpdatePositions
option described above (passed either in the original init
or with the updatePositions method).
scrollnav.updatePositions();


| File | Statements | Branches | Functions | Lines | |||||
|---|---|---|---|---|---|---|---|---|---|
| server | 92% | 46/50 | 50% | 4/8 | 83.33% | 5/6 | 92% | 46/50 | |
| server/api/article | 94.5% | 206/218 | 85% | 51/60 | 100% | 28/28 | 94.5% | 206/218 | |
| server/api/comment | 89.19% | 66/74 | 100% | 14/14 | 90% | 9/10 | 89.19% | 66/74 | |
| server/api/logs | 100% | 19/19 | 100% | 8/8 | 100% | 2/2 | 100% | 19/19 | |
| server/api/mobile | 90% | 9/10 | 50% | 1/2 | 100% | 2/2 | 90% | 9/10 | |
| server/api/tags | 93.52% | 101/108 | 90% | 18/20 | 100% | 18/18 | 93.52% | 101/108 | |
| server/api/users | 92.7% | 127/137 | 89.04% | 65/73 | 94.44% | 17/18 | 92.7% | 127/137 | |
| server/auth | 83.64% | 46/55 | 43.75% | 7/16 | 92.86% | 13/14 | 87.5% | 42/48 | |
| server/auth/github | 30.43% | 14/46 | 0% | 0/20 | 50% | 3/6 | 30.23% | 13/43 | |
| server/auth/local | 78.43% | 40/51 | 53.85% | 14/26 | 100% | 10/10 | 79.17% | 38/48 | |
| server/auth/qq | 31.82% | 14/44 | 0% | 0/23 | 50% | 3/6 | 31.71% | 13/41 | |
| server/auth/weibo | 31.11% | 14/45 | 0% | 0/20 | 50% | 3/6 | 30.95% | 13/42 | |
| server/config | 90.91% | 20/22 | 75% | 3/4 | 100% | 1/1 | 90.91% | 20/22 | |
| server/config/env | 100% | 9/9 | 93.18% | 41/44 | 100% | 0/0 | 100% | 9/9 | |
| server/config/env/private | 85.71% | 6/7 | 25% | 1/4 | 100% | 0/0 | 85.71% | 6/7 | |
| server/model | 90.91% | 60/66 | 71.43% | 10/14 | 78.57% | 11/14 | 92.31% | 60/65 | |
| server/util/debug | 100% | 3/3 | 100% | 0/0 | 100% | 1/1 | 100% | 3/3 | |
| server/util/error | 100% | 14/14 | 75% | 6/8 | 100% | 4/4 | 100% | 14/14 | |
| server/util/logs | 100% | 5/5 | 100% | 0/0 | 100% | 0/0 | 100% | 5/5 | |
| server/util/qiniu | 28.77% | 21/73 | 0% | 0/26 | 0% | 0/19 | 28.77% | 21/73 | |
| server/util/redis | 87.5% | 7/8 | 100% | 0/0 | 0% | 0/1 | 87.5% | 7/8 | |
| server/util/tools | 100% | 19/19 | 80% | 8/10 | 100% | 3/3 | 100% | 19/19 |


Class: Qo::PatternMatchers::ResultPatternMatch
- Inherits:
-
PatternMatch
- Object
- PatternMatch
- Qo::PatternMatchers::ResultPatternMatch
- Defined in:
- lib/qo/pattern_matchers/result_pattern_match.rb
Overview
Unlike the normal pattern matcher, this one works on tuple arrays containing
a status and a result like [:ok, result]
and [:err, message]
.
Note that each of these can still take conditionals much like a where
branch for more fine grained control over what we're looking for.
Instance Method Summary collapse
-
#initialize(destructure: false) ⇒ type
constructor
Creates a new result matcher.
Methods inherited from PatternMatch
#call, create, mixin, #to_proc
Methods included from Branching
Constructor Details
#initialize(destructure: false) ⇒ type
Creates a new result matcher
40 41 42 |
# File 'lib/qo/pattern_matchers/result_pattern_match.rb', line 40 def initialize(destructure: false) super(destructure: destructure) end |


EditHighlight allows you to easily edit a highlight without having
to type the
whole thing over. You can either use the reference number shown
when you list
your defined highlights or the mask to edit it. The highlight is
then placed
in the input line so that you have full editing capabilities.
NOTE: Highlights are stored and looked up by the mask. If you edit
a highlight
and you change the mask , when you press enter a new highlight will
be
created. This will not erase the highlight that you had originally
edited. If
you wish to remove the original version you need to use /unhighlight.
Click here to return to previous page.


Spotify-api.js is a quick wrapper to interact with spotify api...
npm i spotify-api.js
Please make an App from here https://developer.spotify.com/dashboard/
const { Client } = require("spotify-api.js");
const spotify = new Client("NO TOKEN"); // Keep it like that to get a new token...
const token = await spotify.oauth.get({
client_id: "client id",
client_secret: "client secret",
}); // Will return a promise of token and its details
console.log(token); // Spotify resets its token each every 1-5 minutes to prevent api spam!
const track = await spotify.tracks.search("oh my god by alec benjamin", {
limit: 1,
}); // Searches for the track and limit will be 20 by default
const advanced = await spotify.tracks.search("oh my god by alec benjamin", {
limit: 1,
advanced: true,
}); // Same but this will return a `codeImage` and `dominantColor` key with it!
const get = await spotify.tracks.get("track id"); // Get tracks by id...
const audioAnalysis = await spotify.tracks.audioAnalysis("track id"); // Get audio analysis of the track
const audioFeatures = await spotify.tracks.audioFeatures("track id"); // Get audio features of the track
const artist = await spotify.artists.search("alec benjamin", { limit: 1 }); // Searches for the artist with a default limit as 1...
const advanced = await spotify.artists.search("alec benjamin", {
limit: 1,
advanced: true,
}); // Returns a `dominantColor` and `codeImage` key with the response../
const get = await spotify.artists.get("artist id"); // Get artists by id. Has advanced option too...
const albums = await spotify.artists.getAlbums("artist id"); // Get artist albums by id. Has advanced and limit option too...
const topTracks = await spotify.artists.topTracks("artist id"); // Returns top tracks of the artist. Has advanced and limit option too...
const relatedArtists = await spotify.artists.relatedArtists("artist id"); // Returns related artists. Has advanced and limit option too...
const album = await spotify.albums.search("these two windows", { limit: 1 }); // Searches for an album. Has advanced option too...
const get = await spotify.albums.get("album id"); // Get album by id...
const tracks = await spotify.albums.getTracks("album id", { limit: 5 }); // Get all tracks of an album. Has advanced option too...
const user = await spotify.users.get("id"); // Returns the user details by id...
const playlist = await spotify.playlists.get("id"); // Get playlist data by id
const tracks = await spotify.playlists.getTracks("id", { limit: 1 }); // Get all tracks in an album by id. Has advanced option too...
Take the following code for example
const { Client } = require("spotify-api.js"); // Import package
const spotify = new Client("token"); // Load client with token or using oauth
const track = await spotify.tracks.search("oh my god by alec benjamin", {
limit: 1,
advanced: true,
}); // Search albums
console.log(track[0].codeImage); // Get the code image for advanced...
console.log(track[0].dominantColor); // Get the dominant color... Returns { hex: string, rgb: [r, g, b, a] }
To refresh a token you need 4 params.
/authorize
endpoint)const {refresh_token} = await spotify.oauth.refresh({
client_id: "my client id",
client_secret : "my client secret",
redirect_uri : "my redirection uri ",
}, "my token"
)
Generated using TypeDoc


External resources¶
- Matthias Fey and Jan E. Lenssen: Fast Graph Representation Learning with PyTorch Geometric [Paper, Slides (3.3MB), Poster (2.3MB), Notebook]
- Soumith Chintala: Automatic Differentation, PyTorch and Graph Neural Networks [Talk (starting from 26:15)]
- Steeve Huang: Hands-on Graph Neural Networks with PyTorch & PyTorch Geometric [Tutorial, Code]


--- layout: post title: Walmart Selling Magnavox Blu-ray Disc Player for $98.00 Again categories: [] tags: - bluray - geek - hd - shopping - walmart status: publish type: post published: true meta: _original_post_id: '' _original_import_author: John Duprey author: ---
| Magnavox Blu-ray Disc Player Nb530mgx |
Walmart is selling the Magnavox Blu-ray Disc play for $98.00 again in stores only. You won't find this deal online. This is a barebones player with no internet capabilities. This means no BD-Live support and no automatic firmware updates via the Internet. However, considering I have declared physical media [mostly] dead, I don't much care. We needed a DVD player replacement and this fit the bill nicely. DVDs up-convert to 1080p24 extremely well, way better than our previous player. OK. I did buy two Blu-ray titles to see what it was all about, Serenity and Wall-E.
| Serenity Lisa Lassek Joss Whedon |
| Wall-E (Two-Disc and BD Live) |
We watched Serenity and the quality was excellent - the best I've seen on our TV. We didn't play around much with the Blu-ray features yet, U-Control for example. Assuming the player maintains this basic level of functionality it was well worth the $98. Clearly this is an ideal price point for most consumers. Still, it seems most disks still cost $30 to $40. I specifically chose the above titles because they were both $19.99 at Walmart.
Amazon - $128.00WalMart - $129.00 but you can only find it in the stores for $98.00 this weekend


com.jbirdvegas.mgerrit.search
Classes
AfterSearch
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BranchSearch
ChangeSearch
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QML Documents
A QML document is a string which conforms to QML document syntax. A document defines a QML object type. A document is generally loaded from a ".qml"
file stored either locally or remotely, but can be constructed manually in code. An instance of the object type defined by a document may be created using a Component in QML code, or a QQmlComponent in C++. Alternatively, if the object type is explicitly exposed to the QML type system with a particular type name, the type may be used directly in object declarations in other documents.
The ability to define re-usable QML object types in documents is an important enabler to allow clients to write modular, highly readable and maintainable code.
Since Qt 5.4, a document can also have the file extension ".ui.qml"
. The QML engine handles these files like standard .qml files and ignores the .ui
part of the extension. Qt Creator handles those files as UI forms for the Qt Quick Designer. The files can contain only a subset of the QML language that is defined by Qt Creator.
Structure of a QML Document
A QML document consists of two sections: the imports section, and the object declaration section. The imports section in a document contains import statements that define which QML object types and JavaScript resources the document is able to use. The object declaration section defines the object tree to be created when instantiating the object type defined by the document.
An example of a simple document is as follows:
import QtQuick 2.0 Rectangle { width: 300 height: 200 color: "blue" }
See the Structure of a QML Document for more information on the topic.
Syntax of the QML Language
The object declaration section of the document must specify a valid object hierarchy with appropriate QML syntax. An object declaration may include the specification of custom object attributes. Object method attributes may be specified as JavaScript functions, and object property attributes may be assigned property binding expressions.
Please see the documentation about the syntax of QML for more information about valid syntax, and see the documentation about integrating QML and JavaScript for in-depth information on that topic.
Defining Object Types through QML Documents
As described briefly in the previous section, a document implicitly defines a QML object type. One of the core principles of QML is the ability to define and then re-use object types. This improves the maintainability of QML code, increases the readability of object hierarchy declarations, and promotes separation between UI definition and logic implementation.
In the following example, the client developer defines a Button
type with a document in a file:
// Button.qml import QtQuick 2.0 Rectangle { width: 100; height: 100 color: "red" MouseArea { anchors.fill: parent onClicked: console.log("Button clicked!") } }
The Button
type can then be used in an application:
// application.qml import QtQuick 2.0 Column { Button { width: 50; height: 50 } Button { x: 50; width: 100; height: 50; color: "blue" } Button { width: 50; height: 50; radius: 8 } } |
Please see the documentation about defining object types in documents for in-depth information on the topic.
Resource Loading and Network Transparency
It is important to note that QML is network-transparent. Applications can import documents from remote paths just as simply as documents from local paths. In fact, any url
property may be assigned a remote or local URL, and the QML engine will handle any network communication involved.
Please see the Network Transparency documentation for more information about network transparency in imports.
Scope and Naming Resolution
Expressions in documents usually involve objects or properties of objects, and since multiple objects may be defined and since different objects may have properties with the same name, some predefined symbol resolution semantics must be defined by QML. Please see the page on scope and symbol resolution for in-depth information about the topic.


Installation¶
flask_ogm can be downloaded from PyPI and installed using pip.
$ pip install flask_ogm
Quick Start¶
You can now create an application and access your graph using the ogm.graph
interface. You must specify the connection credentials in your application’s configuration, port and protocol are optional, but host, user and password are required. You can also use the ParamConverter to pull objects out of your database, as seen in the example below.
from flask import Flask
from flask_ogm import OGM
# optionally import ParamConverter to pull objercts out of the graph
from flask_ogm.param_converter import ParamConverter
from py2neo.ogm import GraphObject, Property
app = Flask(__name__)
app.config.update(
OGM_GRAPH_HOST='localhost',
OGM_GRAPH_USER='neo4j',
OGM_GRAPH_PASSWORD='password'
)
ogm = OGM(app)
# simple example
@app.route('/count')
def node_count():
"""Example running a cypher query. Return node count."""
return str(graph.run(
'MATCH (n) RETURN COUNT (n) AS node_count'
).evaluate())
# using ParamConverter
# we need a model to pull out of the graph
class Movie(GraphObject):
title = Property() # only one property shown in quick start
@app.route('/movie/<movie>')
@ParamConverter(graph_object=Movie, param='movie', search_on='title')
def get_movie_by_title(movie)
"""Example using ParamConverter.
Search for movie based on Title, if found, return movie title,
if no movie found, ParamConverter will return a 404, and this
code will not be executed.
"""
return str(movie.title) # simple as that
if __name__ == '__main__':
app.run(debug=True)
Copy the above into an application (changing the configuration as required), and navigate to http://localhost:5000/count to see the count of the number of nodes in your database.
To configure your connection(s) to your graph(s) with more precision, see Graph Connections.
Registering Flask-OGM in your App¶
You can register Flask-OGM in your app using either the standard method as shown in the Quick Start, or the factory method like below.
>>>> from flask import Flask
>>>> from flask_ogm import OGM
>>>> app = Flask(__name__)
>>>> ogm = OGM()
>>>> ogm.init_app(app)
>>>> app.config.update(
OGM_GRAPH_HOST = 'localhost',
OGM_GRAPH_USER = 'neo4j',
OGM_GRAPH_PASSWORD = 'password'
)
>>>> with app.app_context():
print(ogm.graph.run(
'MATCH (n) RETURN COUNT(n) AS node_count'
).evaluate())
1,234


Giovanni Vincenti told investigators he meant to blow up his farmhouse in the Piedmont region by setting off gas canisters, but he allegedly made a mistake with a timer and triggered two explosions, according to prosecutor Enrico Cieri.
Firefighters went to the property in Quargnento, near Alessandria, after the initial explosion early on Tuesday and were then struck by a second, stronger blast.
Vincenti was detained on Friday night. At a news conference on Saturday morning, Mr Cieri said Vincenti told investigators he had no intention of killing the firefighters.
The prosecutor said Vincenti could have prevented the deaths by telling firefighters tackling the first fire that there were more gas canisters in the house.
Mr Cieri said investigators found a manual for the timer in Vincenti’s bedroom. Vincenti’s wife is also under investigation.
Sky TG24 reported that the farm building had been renovated and had been up for sale for two years.
Funerals were held for the firefighters on Friday, attended by Italian premier Giuseppe Conte and other dignitaries.
Three other first responders were injured. One of the dead firefighters was buried under rubble, with the body only recovered after hours of digging.
READ MORE
Women in UK Labour Party demand candidate who shared ‘violent’ image is sacked


title = "Showcase | Precipice"
url = "/showcase/precipice"
layout = "showcase-item"
description = "Precipice showcase page"
is_hidden = 0
==
{##}
{% put title %} Precipice {% endput %}
{% put author %} Little Red Dog Games {% endput %}
{% put author_url %} https://www.littlereddoggames.com/ {% endput %}
{% put release_date %} May 2019 {% endput %}
{% put platforms %} windows, linux {% endput %}
{% put description %}
-
Take control of the United States or Soviet Union and provide technical and
economic assistance to guerrillas all over the world fighting for your
cause, all while avoiding a direct and open-confrontation with the enemy.
-
Subterfuge is the most important strategy. Safeguard your closest allies and
change unfavorable regimes without giving away your long-term ambitions.
Every action risks an enemy reprisal, and if nobody backs down from a
standoff, we all lose.
-
Face a highly-responsive, unpredictable AI that will attempt to understand
your strategy and counter it at every turn.
-
Hotseat play and online multiplayer play available.
-
World leaders from 72 countries realized as animals native to the region,
all pawns in the dangerous game of nuclear chicken.
-
Manage resources from territories under your control to resolve immediate
crises or win over future allies.
-
Recreate history, or forge your own path. Put a bear on the moon. The
possibilities are endless with simple, intuitive gameplay that is
simultaneously difficult to master.
{% endput %}
{% put image %} precipice.png {% endput image %}
{% put placeholder %} linear-gradient(90deg, #343782 18%, #414145 47%, #522629 66%, #522629 81%) {% endput %}
{% put youtube_embed_code %} Ri0Pc5xvJkM {% endput %}
{% put link_steam %} https://store.steampowered.com/app/951670/Precipice/ {% endput %}


Sprint 1 Technical <Click Here>
Stories and Legends
Sprint 2 Technical <Click Here>
What is the difference between Margin, Border, and Padding?
Sprint 3 Technical <Click Here>
JavaScript and its relationship to HTML and CSS
Sprint 4 Technical <Click Here>
Problem solving
Sprint 5 Technical <Click Here>
Minesweeper
Sprint 1 Cultural <Click Here>
Identity, Values and Strengths Exploration
Sprint 2 Cultural <Click Here>
Learning Reflections
Sprint 3 Cultural <Click Here>
Emotional Intelligence
Sprint 4 Cultural <Click Here>
Neuroplasticity and Growth Mindset
Sprint 5 Cultural <Click Here>
Reflection - Foundations Core Skillst


Bolo do Caco (Caco Bread)
A tradicional Madeiran-Portuguese Bread
- ⏲ Prep time: 1 hour
- 🍳 Cook time: 45 min
- 💤 Rest time: 3 days
- 🍽 Servings: 10 breads
Ingredients
Imperial
- 1¾ lb sweet potato
- 8 cups all-purpose flour
- ⅔ cup water (warm at 75F / 35C)
- 3 tablespoons active dry - yeast
- 3 teaspoons salt
Metric
- 750 g sweet potato
- 1 kg all-purpose flour
- 150 ml water (warm at 75F / 35C)
- 3 tablespoons active dry yeast
- 3 teaspoons salt
Directions
- Peel the sweet potatoes. Cut into large pieces and place in a saucepan.
- Cover with water, bring to a boil and cook covered for 20 minutes over 1. medium-high heat.
- Drain the sweet potatoes and mash them. Add salt.
- Mix the yeast and water and let stand for 10 minutes.
- Pour the flour into a large salad bowl.
- Dig a well in the center and add the mashed sweet potato and yeast.
- Knead to obtain a homogeneous and elastic dough.
- Let the dough ferment for 3 days in the refrigerator.
- After 3 days, divide the dough into 8 to 10 pieces of equal weight on a work surface dusted with flour.

- Let them rest for 30 minutes in a warm place, protected from drafts.
- Heat a dry pan over medium-high heat and cook the bolos do caco on both sides until a thin and slightly hard crust is formed. Turn them over very regularly.
- Then take each bolo do caco with tongs and turn them around on the hot pan to bake the sides.
- Serve warm or lukewarm with salted butter and parsley.
Contribution
Recipe tags:
bread
portuguese


What is version control, you ask? Version control is a system that allows multiple users to work on the same project simultaneously without overwriting or deleting one another's work. Great, huh? That's not it. What makes version control even more amazing is the fact that it saves the project status along the way, so that when something goes wrong by accident, you can always recall to the last saved checkpoint or version. These features allow efficiency and a risk-proof work environment for programmers.
Git is simply a version control platform. It helps you keep track of your work by saving every litle modification made along the way. Once you are done revising, you can 'commit', or save, your git file to be 'pushed', or uploaded, to a GitHub repository. Still confused? Well, think of it this way. Pushing modifications to GitHub is like syncing your iTunes library to your iPhone. Whatever modification I make in my iTunes Library (i.e. add a song, delete an album, update artwork, etc.) will be synced to your iPhone WHEN YOU EXPLICITLY CLICK ON 'SYNC' BUTTON. It's the same concept. By explicitly telling command line to push your git file onto GitHub, you are syncing your local file adjustment to the remote repository, up-to-date. I will discuss more about GitHub in the next paragraph.
GitHub is an online, open-source 'hub' for programmers to store their repositories. With permission, people can revise each other's work to either fix issues or improve coding sequences. GitHub is an ideal place to store your code because it enables the public to review your work, find mistake if any, revise and improve the current version of your code. Think of it this way. You are preparing for a special night out with your crush. You pick out the outfit using your best judgment. Then, you go up to your stylish friends and ask them for feedback. They might touch up on your look, fix the tie, and ask you to change your shoes in order to make you look nicer. Of course, this is all done with your permission granted. Collaboration calls for efficiency, precision, and synergy. GitHub is a perfect tool that provides all three.


SCREAM 3 (Dimension) Starring: Neve Campbell, Courteney Cox Arquette, David Arquette, Patrick Dempsey, Parker Posey, Lance Henriksen, Scott Foley, Liev Schreiber. Screenplay: Ehren Kruger, based on characters created by Kevin Williamson. Producers: Kevin Williamson, Cathy Konrad and Marianne Maddalena. Director: Wes Craven. MPAA Rating: R (violence, profanity, adult themes) Running Time: 116 minutes. Reviewed by Scott Renshaw.
In the production notes for SCREAM 3, there is a heading titled "Rules of a Trilogy" which reads: "Chapter One sets the rules. Chapter Two bends the rules. But in the finale, forget the rules." That's as succinct a summation as any for why, as this particular trilogy draws to a close, it feels one chapter too long. SCREAM revived the moribund slasher movie genre by mining both laughs and scares from horror film conventions. SCREAM 2 kept the pace by turning the satire towards horror sequels, and even the first SCREAM. SCREAM 3, it turns out, does forget the rules. It forgets that a film based on scary parody of scary movie cliches had better be scary or funny, but not cliched.
A few more years have passed since the events in SCREAM 2 as we are re-introduced to our gang of survivors. Sidney Prescott (Neve Campbell) is living in seclusion, working from home as a counselor on a crisis hotline. Gale Weathers (Courteney Cox Arquette) anchors an "Entertainment Tonight"-type program after flopping on "60 Minutes II." Cotton Weary (Liev Schreiber) has become a popular T.V. talk show host and cameo actor in STAB 3, the latest film based on the Woodsboro murders, on which Dewey Riley (David Arquette) is working as a consultant. When cast members of STAB 3 begin turning up dead, accompanied by photos of Sidney's mother as a young woman, Sidney is drawn out of hiding to find out why. It seems someone connected to the film is creating his/her own murderous rewrites on the fly. Or perhaps it's someone investigating the murders. Or perhaps Sidney's mother herself has returned from beyond the grave.
The tortuous path to unmasking the killer(s) has, of course, become one of the series' trademarks -- and, for my money, the most annoying. There are suspects a-plenty -- homicide Det. Kincaide (Patrick Dempsey); STAB 3 cast members including Jennifer (Parker Posey) and Angelina (Emily Mortimer); none-too-subtly-named producer John Milton (Lance Henriksen); director Roman Bridger (Scott Foley) -- in a non-stop parade of hints, motives and opportunities. Director Wes Craven and screenwriter Ehren Kruger (stepping in for creator Kevin Williamson) get so focused on whodunnit, in fact, that they rarely give any juice to what the person whodunnit is doing. There are a couple of tense moments, including effective use of a one-way mirror and the surprising perils of a movie set, but there's nothing to match the nerve-wracking Drew Barrymore sequence in SCREAM or the crawl across the killer in SCREAM 2. As a chiller, it's fairly uninspired chase-n-shriek stuff.
The humor doesn't fare much better, drifting away from commentary on movies to linger on commentary on movie-making. Kruger tosses off some solid gags, but they tend to be of the industry-jokey variety (including a few cute but unnecessary cameos).  It becomes too easy to see SCREAM 3 as a step towards exactly the kind of formulaic horror film the series originally skewered. Even when the humor works, it feels too easy -- and too played -- to take shots at the people who make the movies than to take shots at the movies themselves. Kruger opts to chuckle at career-obsessed directors, bimbo starlets who don't know VERTIGO from PSYCHO and genre film actors getting absurdly Method about creating their "characters."
The height of irony is that you can see that kind of deadly earnest acting going on in SCREAM 3. The primary offender is Campbell, who looks as though she could only be dragged back to the set after being promised Sidney would grow as a character. She does her damndest to make sure we all understand how haunted she is, as though anyone could possibly care about the deep psychological underpinnings of Sidney Prescott. It's one thing for a character to make a reference to the developments in the GODFATHER trilogy; it's another for Campbell to pretend she's playing Michael Corleone. SCREAM 3 is a purely functional shocker, but it takes all the wrong things seriously and plays all the wrong things for laughs. Craven and company have forgotten the rules, all right. They've even forgotten why the series was worth a third installment in the first place.
On the Renshaw scale of 0 to 10 last stabs: 5.
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| Allow Scan Request and Connect from White List Only. |


Hong Kong paralysed for 5th day, students guard campuses
by ReutersHONG KONG (Nov 15): Anti-government protesters paralysed parts of Hong Kong for a fifth day on Friday, forcing schools to close and blocking some major highways, as university students barricaded campuses and authorities struggled to calm the violence.
Chief Executive Carrie Lam condemned an "attack" in London on the city's justice secretary saying the incident was brutal and transcended the bottom line of a civilized society. - Reuters


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--- layout: post section-type: post title: Common pitfals and misconceptions of Agile methods date: '2006-10-04T12:01:00.000+02:00' author: Jørn Ølmheim category: tech tags: [ 'agile', 'jaoo', 'tdd' ] modified_time: '2006-10-05T14:58:15.440+02:00' blogger_id: tag:blogger.com,1999:blog-16320608.post-115995650072350862 blogger_orig_url: http://joelmheim.blogspot.com/2006/10/common-pitfals-and-misconceptions-of.html --- I really found that the insights offered by Jutta Eckstein in her talk yesterday deserves a separate post. I'll list the pitfalls she mentioned and describe them a little. ###Too much focus on practices This means that we implement the practices like daily meetings, test-driven development and so on without looking at the values that these practices are supporting. This is a key point! It is the agile values that makes agile methods work. The practices of for instance XP or Scrum are just there to support and enforce the values. Many people doesn't get this. ###Missing result orientation One of the fundamental ideas in agile methods is the goal of producing a product that is useful to a customer. If we loose track of this and start to focus on just delivering without the link to creating business value, there is no overall goal, and the project fails. ###Too many interruptions Not taking sufficient steps to protect the team during an iteration can be fatal to projects. If the team is not working on a fixed task list during an iteration, or the team is not fully allocated to the task at hand. Scrum helps with this by isolating the team for the iteration and removing other impediments. ###Repeat the same mistakes Do retrospectives and learn from it. The mistake many new agile projects make is that they identify the mistakes in retrospectives, but don't do anything to make it better. Point is to adapt to the things that are identified. ###Lacking integration of the product The importance of integration is ignored or underestimated. Frequent build failures or build takes too long is often a problem. This cannot be ignored during an iteration or sprint. ###No overall release plan Most people plan individual iterations or sprints but some forget that it is the product roadmap or release plan that is the most important. ###Agile is for developers only Agile methods affects the entire the whole organization. Jeff Sutherland (Scrum) argues that the entire organization needs to be organized as a set of Scrums in order to reach the hyper-productive states. He has done this, so he knows what he is talking about. ###Common misunderstandings Agility is ...


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[gecode-users] Memory trouble when implementing a brancher
Anders Helmar
svumpukkel2001 at gmail.com
Sun Dec 12 12:19:22 CET 2010
Hi..
I'm facing a problem with memory leaks when implementing my own brancher in
Gecode 3.4.0, using the GCC compiler on an ubuntu platform.
My problem is that I want to save both a position for a variable but also a
list of values to branch on. This list is created as a vector<int> in the
implemented brancher together with the position as
mutable vector<int> alternatives;
mutable int v;
I have a choice object as well with a vector and an integer to be stored in
the choice.
In the status() function I fill in the alternatives with the push_back()
function, and it is here I get my leaks when running with valgrind.
When I have created the choice in the Choice() function of the brancher I
remember to clear the vector of alternatives (Since choice takes a local
copy for the choice object).
I suppose that when deleting my choice pointer in the search engine, I also
delete the elements in the list of alternatives in the choice object?
Hope you can help!
Cheers,
Anders
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Last updated: 2020-04-22
Checks: 7 0
Knit directory: MHWflux/
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| File | Version | Author | Date | Message |
|---|---|---|---|---|
| html | 99eda29 | robwschlegel | 2020-04-16 | Build site. |
| Rmd | e4b9586 | robwschlegel | 2020-04-16 | Re-built site. |
| Rmd | f963741 | robwschlegel | 2020-04-15 | Some text edits and published the shiny app |
| Rmd | d22d6a7 | robwschlegel | 2020-04-14 | Text edits |
| Rmd | 7c19a6f | robwschlegel | 2020-02-28 | Notes from meeting with Ke. |
| Rmd | b10501e | robwschlegel | 2020-02-27 | Working on correlation code |
| html | 50eb5a5 | robwschlegel | 2020-02-26 | Build site. |
| Rmd | 891e53a | robwschlegel | 2020-02-26 | Published site for first time. |
| Rmd | 1be0a1e | robwschlegel | 2020-02-26 | Completed the data prep for the project |
| Rmd | bcd165b | robwschlegel | 2020-02-26 | Writing |
| Rmd | 29883d6 | robwschlegel | 2020-02-26 | Calculated the MHWs from GLORYS data. Am now wrestling with the pipeline for ERA5 loading. |
| Rmd | c4343c0 | robwschlegel | 2020-02-26 | Pushing quite a few changes |
| Rmd | 80324fe | robwschlegel | 2020-02-25 | Adding the foundational content to the site |
Much of the code in this vignette is taken entirely or partially from the study area prep, the MHW prep, and the gridded data prep vignettes from the drivers of MHWs in the NW Atlantic project. Because this process has already been established we are going to put it all together in this one vignette in a more streamlined manner.
All of the libraries and functions used in this vignette, and the project more broadly may be found here.
# get everything up and running in one go
source("code/functions.R")
library(SDMTools) # For finding points within polygons
A reminder of what the study area looks like. It has been cut into 6 regions, adapted from work by Richaud et al. (2016).
frame_base +
geom_polygon(data = NWA_coords, alpha = 0.7, size = 2,
aes(fill = region, colour = region)) +
geom_polygon(data = map_base, aes(group = group))
| Version | Author | Date |
|---|---|---|
| 50eb5a5 | robwschlegel | 2020-02-26 |
In this study it was decided to use the higher resolution 1/12th degree GLORYS data. This means we will need to re-calculate which pixels fall within which region so we can later determine how to create our average SST time series per region as well as the other averaged heat flux term time series.
# Load one GLORYS file to extract the lon/lat coords
GLORYS_files <- dir("../data/GLORYS", full.names = T, pattern = "MHWflux")
GLORYS_grid <- tidync(GLORYS_files[1]) %>%
hyper_tibble() %>%
dplyr::rename(lon = longitude, lat = latitude) %>%
dplyr::select(lon, lat) %>%
unique()
# Load one ERA5 file to get the lon/lat coords
ERA5_files <- dir("../../oliver/data/ERA/ERA5/LWR", full.names = T, pattern = "ERA5")
ERA5_grid <- tidync(ERA5_files[1]) %>%
hyper_filter(latitude = dplyr::between(latitude, min(NWA_coords$lat), max(NWA_coords$lat)),
longitude = dplyr::between(longitude, min(NWA_coords$lon)+360, max(NWA_coords$lon)+360),
time = index == 1) %>%
hyper_tibble() %>%
dplyr::rename(lon = longitude, lat = latitude) %>%
dplyr::select(lon, lat) %>%
unique() %>%
mutate(lon = lon-360)
# Function for finding and cleaning up points within a given region polygon
pnts_in_region <- function(region_in, product_grid){
region_sub <- NWA_coords %>%
filter(region == region_in)
coords_in <- pnt.in.poly(pnts = product_grid[,c("lon", "lat")], poly.pnts = region_sub[,c("lon", "lat")]) %>%
filter(pip == 1) %>%
dplyr::select(-pip) %>%
mutate(region = region_in)
return(coords_in)
}
# Run the function
GLORYS_regions <- plyr::ldply(unique(NWA_coords$region), pnts_in_region,
.parallel = T, product_grid = GLORYS_grid)
saveRDS(GLORYS_regions, "data/GLORYS_regions.Rda")
ERA5_regions <- plyr::ldply(unique(NWA_coords$region), pnts_in_region,
.parallel = T, product_grid = ERA5_grid)
saveRDS(ERA5_regions, "data/ERA5_regions.Rda")
GLORYS_regions <- readRDS("data/GLORYS_regions.Rda")
ERA5_regions <- readRDS("data/ERA5_regions.Rda")
# Combine for visual
both_regions <- rbind(GLORYS_regions, ERA5_regions) %>%
mutate(product = c(rep("GLORYS", nrow(GLORYS_regions)),
rep("ERA5", nrow(ERA5_regions))))
# Visualise to ensure success
ggplot(NWA_coords, aes(x = lon, y = lat)) +
# geom_polygon(aes(fill = region), alpha = 0.2) +
geom_point(data = both_regions, aes(colour = region)) +
geom_polygon(data = map_base, aes(group = group), show.legend = F) +
coord_cartesian(xlim = NWA_corners[1:2],
ylim = NWA_corners[3:4]) +
labs(x = NULL, y = NULL) +
facet_wrap(~product)
| Version | Author | Date |
|---|---|---|
| 50eb5a5 | robwschlegel | 2020-02-26 |
With our pixels per region sorted we may now go about creating the average time series for each region from the GLORYS and ERA5 data. First we will load a brick of the data constrained roughly to the study area into memory before assigning the correct pixels to their regions. Once the pixels are assigned we will summarise them into one mean time series per variable per region. These mean time series are what the rest of the analyses will depend on.
The code for loading and processing the GLORYS data.
# Set number of cores
# NB: This is very RAM heavy, be carfeul with core use
doParallel::registerDoParallel(cores = 25)
# The GLORYS file location
GLORYS_files <- dir("../data/GLORYS", full.names = T, pattern = "MHWflux")
system.time(
GLORYS_all_ts <- load_all_GLORYS_region(GLORYS_files) %>%
dplyr::arrange(region, t)
) # 187 seconds on 25 cores
saveRDS(GLORYS_all_ts, "data/GLORYS_all_ts.Rda")
The code for the ERA5 data. NB: The ERA5 data are on an hourly 0.25x0.25 spatiotemporal grid. This loading process constrains them to a daily 0.25x0.25 grid.
# See the code/workflow script for the code used for ERA5 data prep
# There is too much code to run from an RMarkdown document
We will be using the SST value from GLORYS for calculating the MHWs and will use the standard Hobday definition with a base period of 1993-01-01 to 2018-12-25. We are using an uneven length year as the data do not quite extend to the end of December. It was decided that the increased accuracy of the climatology from the 2018 year outweighed the negative consideration of having a clim period that excludes a few days of winter.
Ke pointed out however that it may be better to use the NOAA OISST data. The reasoning being that because we are not fully closing the heat budget with GLORYS, there is no particular benefit to using the SST data from that modelled ensemble product. Rather it would be better to use the remotely observed NOAA OISST product as this is a more direct measure of the surface temperature of the ocean.
# Load the data
GLORYS_all_ts <- readRDS("data/GLORYS_all_ts.Rda")
# Calculate the MHWs
GLORYS_region_MHW <- GLORYS_all_ts %>%
dplyr::select(region:temp) %>%
group_by(region) %>%
nest() %>%
mutate(clims = map(data, ts2clm,
climatologyPeriod = c("1993-01-01", "2018-12-25")),
events = map(clims, detect_event),
cats = map(events, category, S = FALSE)) %>%
select(-data, -clims)
# Save
saveRDS(GLORYS_region_MHW, "data/GLORYS_region_MHW.Rda")
# The MHW calculations from the NOAA OISST data may be found here:
OISST_region_MHW <- readRDS("../MHWNWA/data/OISST_region_MHW.Rda")
The analyses to come are going to be performed on anomaly values, not the original time series. In order to calculate the anomalies we are first going to need the climatologies for each variable. We will use the Hobday definition of climatology creation and then subtract the expected climatology from the observed values. We are again using the 1993-01-01 to 2018-12-25 base period for these calculations to ensure consistency throughout the project.
# Load the data
GLORYS_all_ts <- readRDS("data/GLORYS_all_ts.Rda")
ERA5_all_ts <- readRDS("data/ERA5_all_ts.Rda")
ALL_ts <- left_join(ERA5_all_ts, GLORYS_all_ts, by = c("region", "t"))
# Calculate GLORYS clims and anoms
ALL_anom <- ALL_ts %>%
pivot_longer(msnlwrf:ssh, names_to = "var", values_to = "val") %>%
group_by(region, var) %>%
nest() %>%
mutate(clims = map(data, ts2clm, y = val, roundClm = 6,
climatologyPeriod = c("1993-01-01", "2018-12-25"))) %>%
dplyr::select(-data) %>%
unnest(cols = clims) %>%
mutate(anom = val-seas) %>%
ungroup()
# Save
saveRDS(ALL_anom, "data/ALL_anom.Rda")
We also need to create cumulative heatflux terms. This is done by taking the first day during the MHW and adding them to each other as we go along. This daily cumulative product should then be divided by the MLD on that day. This approximates the air-sea flux term. We also need water density and specific heat constant. Q/(rho x Cp x hmld). rho = 1042, Cp ~= 4000. And then these daily air-sea flux values are added together each day to create the cumulative flux time series. This is done for Qnet, not the individual terms. I think it would also be useful to calculate the rate of change of the cumulative heat-flux term.
The movement terms aren’t very useful and may not be worth including as they don’t really show advection. So rather one can say that the parts of the heating that aren’t explained by anything else could be attributed to advection through the process of elimination.
# We're going to switch over to the NOAA OISST data for MHWs now
# OISST_region_MHW <- readRDS("../MHWNWA/data/OISST_region_MHW.Rda")
# Actually sticking with GLORYS MHWs for now
ALL_anom_cum <- ALL_anom %>%
dplyr::select(region, var, t, anom) %>%
pivot_wider(id_cols = c(region, var, t), names_from = var, values_from = anom) %>%
dplyr::select(region:msshf, msl, qnet) %>%
left_join(GLORYS_MHW_clim[,c("region", "t", "event_no")], by = c("region", "t")) %>%
filter(event_no > 0) %>%
group_by(region, event_no) %>%
mutate_if(is.numeric, cumsum) %>%
ungroup() %>%
dplyr::select(region, event_no, t, everything()) %>%
pivot_longer(cols = msnlwrf:qnet, names_to = "var", values_to = "anom") %>%
mutate(var = paste0(var,"_cum")) %>%
dplyr::select(region, var, event_no, t, anom)
# Save
saveRDS(ALL_anom_cum, "data/ALL_anom_cum.Rda")
ALL_anom_mld <- ALL_anom %>%
dplyr::select(region, var, t, anom) %>%
left_join(GLORYS_all_ts[,c("region", "t", "mld")], by = c("region", "t")) %>%
mutate(anom = anom/(mld*1042*4000)) %>%
pivot_wider(id_cols = c(region, var, t), names_from = var, values_from = anom) %>%
dplyr::select(region:msshf, qnet) %>%
left_join(GLORYS_MHW_clim[,c("region", "t", "event_no")], by = c("region", "t")) %>%
filter(event_no > 0) %>%
group_by(region, event_no) %>%
mutate_if(is.numeric, cumsum) %>%
ungroup() %>%
dplyr::select(region, event_no, t, everything()) %>%
pivot_longer(cols = msnlwrf:qnet, names_to = "var", values_to = "anom") %>%
mutate(var = paste0(var,"_mld")) %>%
dplyr::select(region, var, event_no, t, anom)
# Save
saveRDS(ALL_anom_mld, "data/ALL_anom_mld.Rda")
And that’s all there is to it. In the next vignette we will take the periods of time over which MHWs occurred per region and pair those up with the GLORYS and ERA5 data. This will be used to investigate which drivers are best related to the onset and decline of MHWs.
Richaud, B., Kwon, Y.-O., Joyce, T. M., Fratantoni, P. S., and Lentz, S. J. (2016). Surface and bottom temperature and salinity climatology along the continental shelf off the canadian and us east coasts. Continental Shelf Research 124, 165–181.
sessionInfo()
R version 3.6.3 (2020-02-29)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 16.04.6 LTS
Matrix products: default
BLAS: /usr/lib/openblas-base/libblas.so.3
LAPACK: /usr/lib/libopenblasp-r0.2.18.so
locale:
[1] LC_CTYPE=en_CA.UTF-8 LC_NUMERIC=C
[3] LC_TIME=en_CA.UTF-8 LC_COLLATE=en_CA.UTF-8
[5] LC_MONETARY=en_CA.UTF-8 LC_MESSAGES=en_CA.UTF-8
[7] LC_PAPER=en_CA.UTF-8 LC_NAME=C
[9] LC_ADDRESS=C LC_TELEPHONE=C
[11] LC_MEASUREMENT=en_CA.UTF-8 LC_IDENTIFICATION=C
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] SDMTools_1.1-221 tidync_0.2.3 heatwaveR_<IP_ADDRESS>01
[4] lubridate_1.7.4 forcats_0.5.0 stringr_1.4.0
[7] dplyr_0.8.4 purrr_0.3.3 readr_1.3.1
[10] tidyr_1.0.2 tibble_2.1.3 ggplot2_3.2.1
[13] tidyverse_1.3.0
loaded via a namespace (and not attached):
[1] httr_1.4.1 jsonlite_1.6.1 viridisLite_0.3.0 foreach_1.4.4
[5] R.utils_2.7.0 modelr_0.1.6 assertthat_0.2.1 cellranger_1.1.0
[9] yaml_2.2.1 pillar_1.4.3 backports_1.1.5 lattice_0.20-35
[13] glue_1.3.1 digest_0.6.25 promises_1.1.0 rvest_0.3.5
[17] colorspace_1.4-1 htmltools_0.4.0 httpuv_<IP_ADDRESS>00 R.oo_1.22.0
[21] pkgconfig_2.0.3 broom_0.5.5 haven_2.2.0 scales_1.1.0
[25] whisker_0.4 later_1.0.0 git2r_0.26.1 farver_2.0.3
[29] generics_0.0.2 withr_2.1.2 lazyeval_0.2.2 cli_2.0.2
[33] magrittr_1.5 crayon_1.3.4 readxl_1.3.1 evaluate_0.14
[37] R.methodsS3_1.7.1 fs_1.3.1 ncdf4_1.17 fansi_0.4.1
[41] doParallel_1.0.15 nlme_3.1-137 xml2_1.2.2 tools_3.6.3
[45] data.table_1.12.8 hms_0.5.3 lifecycle_0.1.0 plotly_4.9.2
[49] munsell_0.5.0 reprex_0.3.0 compiler_3.6.3 RNetCDF_2.1-1
[53] rlang_0.4.5 grid_3.6.3 iterators_1.0.10 rstudioapi_0.11
[57] htmlwidgets_1.5.1 labeling_0.3 rmarkdown_2.1 gtable_0.3.0
[61] codetools_0.2-15 DBI_1.0.0 R6_2.4.1 ncmeta_0.2.0
[65] knitr_1.28 workflowr_1.6.0 rprojroot_1.3-2 stringi_1.4.6
[69] parallel_3.6.3 Rcpp_1.0.3 vctrs_0.2.3 dbplyr_1.4.2
[73] tidyselect_1.0.0 xfun_0.12


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{% for group in groups %}
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--- layout: page title: Documentation permalink: /documentation/ --- IBSI Reference Manual IBSI Read The Docs Page


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PyCon TW has on-site lodging at Academia Sinica Activities Center, 3-minute walk next to the venue. It comes with the following options:
- superior single room: NT$1,650 /day
- superior double room: NT$1,750 (for one person) and NT$1,900 (for two people) /day
- *Extra person for NT$300 and extra bed for NT$450 respectively.
- **Room facilities include TV, wireless & wired network, thermos, hair dryer, and personal hygiene products. Breakfast and gym are also provided.
More information on the original site.


Auction Preview: Irish Art at Sotheby's, London, November 19
by BLOUIN ARTINFOWhat: Irish Art
Where: Sotheby's, 34-35 New Bond Street, London, W1A 2AA, UK
When: November 19, 2:00 pm GMT
Public Viewing: November 15, 2019 | 09:00 AM - 04:30 PM, November 16, 2019 | 12:00 PM - 05:00 PM, November 17, 2019 | 12:00 PM - 05:00 PM, November 18, 2019 | 09:00 AM - 04:30 PM, November 19, 2019 | 09:00 AM - 12:00 PM
Top Lots at the Sale:
— “A Paris of the West/ A Paris Come to Judgment in the West” — Jack Butler Yeats, R.H.A. (1871-1957); oil on canvas, signed “Jack B. Yeats”. Painted in 1944. Measurement: 61 x 91.5cm (24 by 36in). Featured at lot 20. Estimate: 500,000 - 800,000 GBP (639,700 – 1,023,600 USD)
— “The Man in the Moon has Patience” — Jack Butler Yeats, R.H.A. (1871-1957); oil on canvas, signed “l.r.: Jack B. Yeats”; titled on the reverse, and further titled, signed and inscribed with the artist's address on an old label attached to the stretcher. Painted in 1943. Measurement: 46 x 61cm. (18 by 24in). Featured at lot 11. Estimate: 150,000 - 250,000 GBP (191,900 – 319,900 USD)
— “A Moonlit Breton Landscape” — Roderic O’Connor (1860-1940); oil on canvas, studio stamp “Atelier O’Connor” on the reverse. Painted circa 1898-1900. Measurement: 71 x 83cm (28 x 32½in). Featured at lot 33. Estimate: 120,000 - 180,000 GBP (153,500 – 230,300 USD)
— “The Stevedore” — Jack Butler Yeats, R.H.A. (1871-1957); oil on canvas, signed “l.l.: JACK B/ YEATS”; titled on the stretcher verso. Painted in 1947. Measurement: 35.5 x 53.5cm (14 by 21in). Featured at lot 34. Estimate: 120,000 - 180,000 GBP (153,500 – 230,300 USD)
— “The Massing of the Armies” — Louis le Brocquy, R.H.A. (1916-2012); tapestry, numbered 1/1 and signed “Le Brocquy” on the Tapisserie d'aubusson certificate of authenticity attached to the reverse. Measurement: 445 x 683cm (175 x 269in). Featured at lot 79. Estimate: 120,000 - 180,000 GBP (153,500 – 230,300 USD)
— “The Bar in the Hall-By-The-Sea, Margate” — Sir William Orpen, R.W.S., N.E.A.C., R.A., R.H.A. (1878-1931); oil on canvas, signed “l.l.: Orpen”. Painted circa 1907-08. Measurement: 91.5 x 71cm (36 x 28in). Featured at lot 38. Estimate: 100,000 - 150,000 GBP (127,900 – 191,900 USD)
— “Clare Island from Achill” — Paul Henry, R.H.A., R.U.A. (1876-1958); oil on canvas, signed “l.l.: Paul Henry”. Measurement: 51 x 61cm (20 x 24in). Featured at lot 57. Estimate: 80,000 - 120,000 GBP (102,300 – 153,500 USD)
— “The Bones” — Jack Butler Yeats, R.H.A. (1871-1957); oil on panel, signed “l.l.: Jack B Yeats”; titled on the reverse. Painted in 1936. Measurement: 23 x 35.5cm (9 x 14in). Featured at lot 69. Estimate: 80,000 - 120,000 GBP (102,300 – 153,500 USD)
— “The Sunlit Page” — Jack Butler Yeats, R.H.A. (1871-1957); oil on board, signed “l.l.: Jack B Yeats”; titled on the reverse. Painted in 1952. Measurement: 35.5 x 46cm (14 x 18in). Featured at lot 85. Estimate: 80,000 - 120,000 GBP (102,300 – 153,500 USD)
For details, visit: https://www.sothebys.com
Click on the slideshow for the highlights of the sale.
Founder: Louise Blouin


{% extends "_base.html" %}
{% load static %}
{% block page_name %}homepage{% endblock %}
{% block css %}
{% endblock %}
{% block content %}
We aim to create new knowledge by participating and collaborating in research projects and developing new open source tools.
We aim to gather and curate (all) knowledge around urban metabolism in one central platform in order to make it accessible to different target audiences.
We help policy makers and practitioners to tackle their challenges with Urban Metabolism thinking.
We believe that tackling the urban sustainability challenge can not be done alone. We want to foster a community of stakeholders that collaborates on developing solutions.
{% lorem 20 w random %}
{% lorem 20 w random %}
{% lorem 20 w random %}
Featured projects
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Create knowledge
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A style that may be applied to buttons or other selectable items
that should react to pressed and focus states, but that do not
have a clear visual border along the edges.
Same function as it was used in the LowsActivity class but without restart option
Start the Background Scan Service
transmit all search strings and display strings
and start the periodic execution via the AlarmManager.
Start the Background Scan Service, if already running, cancel the AlarmManager
(allows the periodic execution), transmit all search strings and display strings
and start the periodic execution via the AlarmManager.


Preferences can be opened from the menu Tools -> Preferences.
In the main preference page, the data folder can be setup. The data folder is used to store the templates and temporary work files.
In the JCL Parameters preference page, the default JCL parameters can be setup. All these settings can be overrided in each server.
The template files can be found in the templates folder. The temp folder is required to store the temporary work files.
The template files can be specified in the JCL Templates preference page.
Note: There is a hsql folder in the default data folder. It is required by the hsql library which can not be moved.


#include <parsing_ops.h>
Convert CSV records to tensors.
Each column maps to one tensor.
RFC 4180 format is expected for the CSV records. (https://tools.ietf.org/html/rfc4180) Note that we allow leading and trailing spaces with int or float field.
Arguments:
Optional attributes (see Attrs
):
Returns:
OutputList
: Each tensor will have the same shape as records.
Constructors and Destructors |
|
|---|---|
DecodeCSV(const ::tensorflow::Scope & scope, ::tensorflow::Input records, ::tensorflow::InputList record_defaults)
|
|
DecodeCSV(const ::tensorflow::Scope & scope, ::tensorflow::Input records, ::tensorflow::InputList record_defaults, const DecodeCSV::Attrs & attrs)
|
Public attributes |
|
|---|---|
operation
|
|
output
|
Public functions |
|
|---|---|
operator[](size_t index) const
|
Public static functions |
|
|---|---|
FieldDelim(StringPiece x)
|
|
NaValue(StringPiece x)
|
|
SelectCols(const gtl::ArraySlice< int > & x)
|
|
UseQuoteDelim(bool x)
|
Structs |
|
|---|---|
|
tensorflow:: |
Optional attribute setters for DecodeCSV. |
Operation operation
::tensorflow::OutputList output
DecodeCSV( const ::tensorflow::Scope & scope, ::tensorflow::Input records, ::tensorflow::InputList record_defaults )
DecodeCSV( const ::tensorflow::Scope & scope, ::tensorflow::Input records, ::tensorflow::InputList record_defaults, const DecodeCSV::Attrs & attrs )
::tensorflow::Output operator[]( size_t index ) const
Attrs FieldDelim( StringPiece x )
Attrs NaValue( StringPiece x )
Attrs SelectCols( const gtl::ArraySlice< int > & x )
Attrs UseQuoteDelim( bool x )


Glass Blowing, Drawing, Painting, Ceramics, Custom Made Pieces
Find Out MoreI offer many different services around creating custom made art and specialise in glass art pieces. Have a look at my projects and contact me if you are interested in working together!
Get Started!If you've seen something you like the look of in my projects then send me a message! Or if you have an idea and would like to work with me to make it happen, then send me a message too!


Enumerations
The following enumerations are available globally.
-
The url scheme that will be used in an environment.
See moreDeclaration
Swift
public enum URLScheme : String
-
The body type of the request
See moreDeclaration
Swift
public enum RequestBodyType : Equatable
-
Enum to specify multipart/form-data parameters that can be used in upload tasks.
See moreDeclaration
Swift
public enum MultipartFormDataPartType
-
URL path representation based on String components.
See moreDeclaration
Swift
public enum Path
-
This will be used in interceptor callback as an action to inteceptors chain.
See moreDeclaration
Swift
public enum InterceptionAction
-
Type that specifies the behavior of the queue when a request fails
See moreDeclaration
Swift
public enum QueueFailureMode
-
Reachability State Type
See moreDeclaration
Swift
public enum ReachabilityState
-
The HTTP request method based on specification of https://www.w3.org/Protocols/rfc2616/rfc2616-sec9.html.
See moreDeclaration
Swift
public enum Method : String
-
Custom error definition.
See moreDeclaration
Swift
public enum TNError : Error
extension TNError: LocalizedError


Homeless Population in New York City
Sources
NYC Department of the Homeless
By Shervin Abdolhamidi, Class of 2021
Homelessness in New York City has reached the highest levels since the Great Depression of the 1930s and is now 56 percent higher than it was ten years ago. At its peak, there were over 63,000 homeless.
The primary cause of homelessness, especially among families, is lack of affordable housing. Some other causes include: eviction, overcrowded housing, domestic violence, job loss, and hazardous housing conditions.
The homeless population ticked down in May 2019 for the first time since 2016 after the city invested $2 billion in homelessness prevention by expanding access to rent arrears grants and free legal services for tenants facing eviction.
“We would have more than 70,000 people in shelter today if it wasn’t for prevention and housing investments,” Human Resources Administration Commissioner Steve Banks said, after a City Council budget hearing in 2019.
The eviction moratorium, which was extended through Jan. 2021, has prevented a surge in homelessness due to the pandemic. But there is a looming eviction crisis after Jan. 1, with 200,000 pending eviction cases that predate COVID-19, and no sign of a new COVID-19 relief bill. This could cause a new surge in homelessness in 2021.


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We have a number of sponsorship opportunities from £100. Please check the sponsorship page, and get in touch for more details.
If you have any questions, would like to confirm any details, would like to sponsor the event or just want to say hello, we'd love to hear from you.
Follow us on Twitter at @gsjaberdeen too.
The event is FREE, and open to anyone. There are two ticket types, Student (for students) and Professional (for anyone who is not currently a student).


Age of Empires II unit, building and tech reference.
| ID | Name | Localised Name | HP | LOS | ATK | MA | PA | GC | Wood | Food | Gold | Stone | Type | Class |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Loading ... | ||||||||||||||
| ID | Name | Localised Name | HP | LOS | ATK | MA | PA | GC | Wood | Food | Gold | Stone | Type | Class |
| ID | Name | Localised Name | Wood | Food | Gold | Stone |
|---|---|---|---|---|---|---|
| Loading ... | ||||||
| ID | Name | Localised Name | Wood | Food | Gold | Stone |


Listen to the two radio broadcasts below.
This is a UN radio programme about “The Speaking Tables,” an initiative of the Language and Communications Programme to celebrate the UN International Year of Languages. New York Headquarters staff comment on the first of the “Speaking Tables” events — which encourage staff to practice a second UN language during their lunch hour. Javier Zanon, dierector of this initiative, is interviewed.
This is a radio broadcast about a visit to a literacy project in a Ugandan village. This broadcast was part of a programme titled "UN at 60: staff members share their memorable experiences with the Organization: Supporting Literacy in Uganda." The UN's Pat Duffy is interviewed.
The link below takes you to a site where you can hear people reading a passage in a variety of accents of English around the world. You can listen to over 600 accents!
They all recite the same passage, shown below:


---
layout: archive
title: Lean Prover Zulip Chat Archive
permalink: 116395maths/94495Separationstuff.html
---
The archive URL format has changed. Please find this page at:
https://leanprover-community.github.io/archive/stream/116395-maths/topic/Separation.20stuff.html


In order to build SLEEF, you need CMake, which is an open-source and cross-platform building tool. In order to test the library, it is better to have the GNU MPFR Library, Libssl and FFTW.
CMake works by allowing the developer to specify build parameters and rules in a simple text file that cmake then processes to generate project files for the actual native build tools (e.g. UNIX Makefiles, Microsoft Visual Studio, Apple XCode, etc). If you are not already familiar with cmake, please refer to the official documentation or the basic introductions in the wiki.
1. Make sure cmake is available on the command-line. The command below should display a version number greater than or equal to 3.5.1.
$ cmake --version
2. Checkout out the source code from our GitHub repository.
$ git clone https://github.com/shibatch/sleef
3. Make a separate directory to create an out-of-source build. SLEEF does not allow for in-tree builds.
$ cd sleef $ mkdir build && cd build
4. Run cmake to configure your project and generate the system to build it:
$ cmake ..
See the list of options and variables for customizing your build.
5. Now that you have the build files created by cmake, proceed from the top of the build directory:
$ make
6. You can execute the tests by running:
$ make test
7. Install the library under ../my-sleef/install by running:
$ make install
Below is the list of common cmake variables that are used to configure a build for SLEEF.
Below is the list of SLEEF-specific cmake variables.
In order to build the library, you need to install OpenMP. In order to test the library, you need to install libmpfr, libssl and libfftw3. Availability of these libraries are checked upon execution of cmake. Please change the directory to sleef-3.X and run the following commands.
$ sudo apt-get install libmpfr-dev libssl-dev libfftw3-dev $ mkdir build $ cd build $ cmake -DCMAKE_INSTALL_PREFIX=/usr .. $ make $ make test $ sudo make install
Parallel build is only supported with Ninja.
In order to uninstall the libraries and headers, run the following command.
$ sudo xargs rm -v < install_manifest.txt
You can build the library with link time opimization(LTO) support with the following commands. Note that you can only build static libraries with LTO support. You also have to use the same compiler with the same version to build the library and other source codes.
$ CC=gcc cmake -DBUILD_SHARED_LIBS=FALSE -DENABLE_LTO=TRUE ..
In order to build the library with thinLTO support with clang, you need to specify LLVM AR command that exactly corresponds to the clang compiler.
$ CC=clang-9 cmake -DBUILD_SHARED_LIBS=FALSE -DENABLE_LTO=TRUE -DLLVM_AR_COMMAND=llvm-ar-9 ..
Header files for inlining the whole SLEEF functions can be built with the following commands. With these header files, it may be easier to inline the whole SLEEF functions than using LTO. You have to specify "-ffp-contract=off" compiler option when compiling a source code that includes one of these header files.
$ cmake -DBUILD_INLINE_HEADERS=TRUE ..
If you are using Debian 10(Buster), Ubuntu 18.04(Bionic) or later, then you can install the library through apt-get. The DFT library will not be installed.
$ sudo apt-get update $ sudo apt-get install libsleef-dev
You need Visual Studio 2019. Open developer command prompt for VS2019 and change directory to sleef-3.X. When configuring a build with cmake, you need to use a specific generator: `cmake -G"Visual Studio 16 2019" ..` This generator will create a proper solution `SLEEF.sln` under the build directory. You can still use `cmake --build .` to build the library without opening Visual Studio.
Below is an example of commands for building SLEEF with Visual Studio.
D:\sleef-3.X> mkdir build D:\sleef-3.X> cd build D:\sleef-3.X\build> cmake -G"Visual Studio 15 2017 Win64" .. &:: If you are using VS2017 D:\sleef-3.X\build> cmake -G"Visual Studio 16 2019" .. &:: If you are using VS2019 D:\sleef-3.X\build> cmake --build . --config Release -- /maxcpucount:1
You need Visual Studio 2019. Install ninja via VS2019 installer. Download and install clang on Windows from llvm.org. Below is an example of commands for building SLEEF with Clang on Windows.
D:\sleef-3.X> "c:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Auxiliary\Build\vcvars64.bat" D:\sleef-3.X> mkdir build D:\sleef-3.X> cd build D:\sleef-3.X\build> cmake -GNinja -DCMAKE_C_COMPILER:PATH="C:\Program Files\LLVM\bin\clang.exe" .. D:\sleef-3.X\build> ninja
Now, let's try compiling the source code shown in Fig. 2.1.
#include <stdio.h>
#include <x86intrin.h>
#include <sleef.h>
int main(int argc, char **argv) {
double a[] = {2, 10};
double b[] = {3, 20};
__m128d va, vb, vc;
va = _mm_loadu_pd(a);
vb = _mm_loadu_pd(b);
vc = Sleef_powd2_u10(va, vb);
double c[2];
_mm_storeu_pd(c, vc);
printf("pow(%g, %g) = %g\n", a[0], b[0], c[0]);
printf("pow(%g, %g) = %g\n", a[1], b[1], c[1]);
}
Fig. 2.1: Source code for testing
Fig.2.2 shows typical commands for compiling and executing the hello code on Linux computers.
$ gcc hellox86.c -o hellox86 -lsleef $ ./hellox86 pow(2, 3) = 8 pow(10, 20) = 1e+20 $ █
Fig. 2.2: Commands for compiling and executing hellox86.c
You may need to set LD_LIBRARY_PATH environment variable appropriately. If you are trying to execute the program on Mac OSX or Windows, try copying the DLLs to the current directory.
Below is an example CMakeLists.txt for compiling the above hellox86.c. CMake will automatically download SLEEF from GitHub repository, and thus there is no need to include SLEEF in your software package. If you prefer importing SLEEF as a submodule in git, you can use SOURCE_DIR option instead of GIT_REPOSITORY option for ExternalProject_Add.
cmake_minimum_required(VERSION 3.5.1)
include(ExternalProject)
find_package(Git REQUIRED)
ExternalProject_Add(libsleef
GIT_REPOSITORY https://github.com/shibatch/sleef
CMAKE_ARGS -DCMAKE_INSTALL_PREFIX=${CMAKE_BINARY_DIR}/contrib
)
include_directories(${CMAKE_BINARY_DIR}/contrib/include)
link_directories(${CMAKE_BINARY_DIR}/contrib/lib)
add_executable(hellox86 hellox86.c)
add_dependencies(hellox86 libsleef)
target_link_libraries(hellox86 sleef)
Fig. 2.3: Example CMakeLists.txt


Class: WordArray
| Defined in: | src/wordarray.iced |
Class Method Summary
- . (void) alloc(b) Be somewhat flexible.
- . (void) from_buffer(b)
- . (void) from_buffer_le(b)
- . (void) from_utf8(s)
- . (void) from_utf8_le(s)
- . (void) from_hex(s)
- . (void) from_hex_le(s)
- . (void) from_ui8a(v)
- . (void) from_i32a(v)
Instance Method Summary
- # (WordArray) concat(wordArray) Concatenates a word array to this word array.
- # (void) clamp() Removes insignificant bits.
- # (WordArray) clone() Creates a copy of this word array.
- # (void) to_buffer()
- # (void) endian_reverse()
- # (void) split(n) Split the word array into n slices Don't be too smart about slicing in between words, just puke if we can't make it work.
- # (void) to_utf8()
- # (void) to_hex()
- # (void) to_ui8a()
- # (void) equal(wa) Important! Don't short-circuit since that enables a forging attack....
- # (void) xor(wa2, {dst_offset, src_offset, n_words})
- # (void) truncate(n_bytes)
- # (void) unshift(n_words)
- # (void) is_scrubbed()
- # (void) scrub()
- # (void) cmp_ule(wa2) Compare for ordering when both are considered as unsigned big-endian integers.
- # (void) slice(low, hi) @param{number} low The low word to include in the output slice @param{number} hi The hi word to include in the output slice (exclusive)
Class Method Details
.
(void)
alloc(b)
Be somewhat flexible. Try either a Buffer or maybe it's already a word array
.
(void)
from_buffer(b)
.
(void)
from_buffer_le(b)
.
(void)
from_utf8(s)
.
(void)
from_utf8_le(s)
.
(void)
from_hex(s)
.
(void)
from_hex_le(s)
.
(void)
from_ui8a(v)
.
(void)
from_i32a(v)
Constructor Details
#
(void)
constructor(words, sigBytes)
Initializes a newly created word array.
@param {Array} words (Optional) An array of 32-bit words. @param {number} sigBytes (Optional) The number of significant bytes in the words.
Examples:
wordArray = new WordArray
wordArray = new WordArray [0x00010203, 0x04050607]
wordArray = new WordArray [0x00010203, 0x04050607], 6
Instance Method Details
#
(WordArray)
concat(wordArray)
Concatenates a word array to this word array.
Examples:
wordArray1.concat(wordArray2)
#
(void)
clamp()
Removes insignificant bits.
#
(WordArray)
clone()
Creates a copy of this word array.
#
(void)
to_buffer()
#
(void)
endian_reverse()
#
(void)
split(n)
Split the word array into n slices Don't be too smart about slicing in between words, just puke if we can't make it work.
#
(void)
to_utf8()
#
(void)
to_hex()
#
(void)
to_ui8a()
#
(void)
equal(wa)
Important! Don't short-circuit since that enables a forging attack....
#
(void)
xor(wa2, {dst_offset, src_offset, n_words})
#
(void)
truncate(n_bytes)
#
(void)
unshift(n_words)
#
(void)
is_scrubbed()
#
(void)
scrub()
#
(void)
cmp_ule(wa2)
Compare for ordering when both are considered as unsigned big-endian integers. Return -1 if @ is less than b2. Return 1 if @ if greater than b2 Return 0 if equal Assumes two clamped buffers
#
(void)
slice(low, hi)
@param{number} low The low word to include in the output slice @param{number} hi The hi word to include in the output slice (exclusive)


CEERS Epoch 1: Color Images Release
JWST has taken the first epoch of observations for our CEERS Survey and it is currently the largest image taken by the telescope to date! These data include NIRCam and MIRI imaging, covering near-infrared to mid-infrared wavelengths in the EGS field - a small patch of sky near the handle of the Big Dipper. We have produced a color image mosaic of all of our Epoch 1 data, which we share below, with several highlights and additional information. Epoch 1 covers less than half of our total survey area on the sky and already the images have led to new discoveries and an unexpected, but not unwelcome, abundance of never-before-seen galaxies. We hope you enjoy exploring these images as much as we have enjoyed studying them, and be sure to open the high-resolution ones to zoom in - the sheer number of galaxies we have captured so far is awe-inspiring!
Table of Contents:
We ask that reporters looking to use these images (and the higher-resolution ones linked in buttons below) follow these captioning and credits guidelines (linked here).
Above: Image of CEERS scientists looking at the Epoch 1 NIRCam color mosaic in TACC's visualization lab at UT Austin. Credit: R. Larson
Click on the image to zoom in and explore!
Above we share the CEERS Epoch 1 color mosaic which consists of 690 individual frames taken with the Near Infrared Camera (NIRCam) on JWST. This image covers an area of sky about eight times as large as JWST’s First Deep Field Image released on July 12 - and is the largest galaxy survey image to date! Epoch 1 contains the 4 of our 10 total planned images that were taken with NIRCam in June of 2022 with the remaining observations scheduled for December 2022.
We encourage you to view the medium- & higher-resolution versions of this image by clicking on the buttons below. But heads up -- for the higher-resolution version, we recommend that you do this on a computer/laptop, as this file is very large!
Let's look at some cosmic objects!
Here we highlight some of our favorite parts of the CEERS NIRCam image where the six inset boxes zoom in on some objects of interest which we describe below:
- A spiral galaxy at a redshift of z = 0.16. The resolution of the JWST imaging reveals a large number of blue star-forming clumps and star clusters.
- A chance alignment of a bright galaxy at a redshift z = 1.05 with several smaller galaxies forming an arc in the sky when viewed from JWST.
- An interacting system of galaxies at z = 1.4, dubbed the “Space Kraken” by the CEERS team.
- Two interacting spiral galaxies at z = 0.7. The arrow points to a supernovae discovered with these JWST images.
- Another spiral galaxy, also at z = 0.7, again highlighting JWST’s ability to resolve small-scale features even for modestly distant galaxies.
- A chance alignment of a z = 0.63 galaxy with a tidal tail, and a grouping of red galaxies at z = 1.85
We encourage you to view the medium- & higher-resolution versions of this image by clicking on the buttons below. But heads up -- for the higher-resolution version, we recommend that you do this on a computer/laptop, as this file is very large!
A detection of one of the most distant galaxies ever found
Scientists in the CEERS Collaboration have identified an object -- dubbed Maisie’s galaxy in honor of project head Steven Finkelstein’s daughter -- that may be one of the earliest galaxies ever observed. If Maisie's galaxy is confirmed to be at a redshift greater than 11.8, with future observations, that would mean that we're seeing this galaxy as it was less than 400 million years after the Big Bang.
We encourage you to view the medium- & higher-resolution versions of this image by clicking on the buttons below. But heads up -- for the higher-resolution version, we recommend that you do this on a computer/laptop, as this file is very large!
In addition, if you'd like to read the science article about Maisie's Galaxy, click on the button below.
Click on the image to zoom in and explore!
Above we show a color image of one CEERS pointing taken with the Mid-Infrared Instrument (MIRI) on JWST. This is one of the 4 images obtained during our Epoch 1 observations in June 2022 - with the other 4 scheduled for December 2022. MIRI operates at wavelengths previously unseen and unstudied in this detailed of a resolution. Our scientists are already uncovering information about these galaxies which had been invisible to us prior to JWST.
We encourage you to view the medium- & higher-resolution versions of this image by clicking on the buttons below. But heads up -- for the higher-resolution version, we recommend that you do this on a computer/laptop, as this file is very large!
JWST has unprecendented mid-infrared resolution
Above shows a comparison of a particular portion of the CEERS MIRI image (center) that has previously been imaged by the Spitzer Space Telescope (left & right). The improvement in resolution and sensitivity with the JWST data is significant, highlighting details we can begin to uncover – details which were previously challenging or impossible to distinguish.
What does Epoch 1 mean?
The JWST observations for CEERS will be split into two epochs: Epoch 1 observations of some of our NIRCam and MIRI pointings occured in June, while the rest of the program will be completed closer to December.
The image above shows the footprint of the full CEERS program (left) and the data taken for Epoch 1 (right). If you look back at the NIRCam image above, you can see the data show the same shape as the purple squares in the Epoch 1 panel (right)!


Once there was a gentleman who married, for his second wife, the proudest and most haughty woman that was ever seen. She had, by a former husband, two daughters of her own humor, who were, indeed, exactly like her in all things. He had likewise, by another wife, a young daughter, but of unparalleled goodness and sweetness of temper, which she took from her mother, who was the best creature in the world.
No sooner were the ceremonies of the wedding over but the mother-in-law began to show herself in her true colors. She could not bear the good qualities of this pretty girl, and the less because they made her own daughters appear the more odious. She employed her in the meanest work of the house: she scoured the dishes, tables, etc., and scrubbed madam’s chamber, and those of misses, her daughters; she lay up in a sorry garret, upon a wretched straw bed, while her sisters lay in fine rooms, with floors all inlaid, upon beds of the very newest fashion, and where they had looking-glasses so large that they might see themselves at their full length from head to foot.
The poor girl bore all patiently, and dared not tell her father, who would have rattled her off; for his wife governed him entirely. When she had done her work, she used to go into the chimney-corner, and sit down among cinders and ashes, which made her commonly be called Cinderwench; but the youngest, who was not so rude and uncivil as the eldest, called her Cinderella. However, Cinderella, notwithstanding her mean apparel, was a hundred times handsomer than her sisters, though they were always dressed very richly.
It happened that the King’s son gave a ball, and invited all persons of fashion to it. Our young misses were also invited, for they cut a very grand figure among the quality. They were mightily delighted at this invitation, and wonderfully busy in choosing out such gowns, petticoats, and head-clothes as might become them. This was a new trouble to Cinderella; for it was she who ironed her sisters’ linen, and plaited their ruffles; they talked all day long of nothing but how they should be dressed.
“For my part,” said the eldest, “I will wear my red velvet suit with French trimming.”
“And I,” said the youngest, “shall have my usual petticoat; but then, to make amends for that, I will put on my gold-flowered manteau, and my diamond stomacher, which is far from being the most ordinary one in the world.”
They sent for the best tire-woman they could get to make up their head-dresses and adjust their double pinners, and they had their red brushes and patches from Mademoiselle de la Poche.
Cinderella was likewise called up to them to be consulted in all these matters, for she had excellent notions, and advised them always for the best, nay, and offered her services to dress their heads, which they were very willing she should do. As she was doing this, they said to her:
“Cinderella, would you not be glad to go to the ball?”
“Alas!” said she, “you only jeer me; it is not for such as I am to go thither.”
“Thou art in the right of it,” replied they; “it would make the people laugh to see a Cinderwench at a ball.”
Anyone but Cinderella would have dressed their heads awry, but she was very good, and dressed them perfectly well They were almost two days without eating, so much were they transported with joy. They broke above a dozen laces in trying to be laced up close, that they might have a fine slender shape, and they were continually at their looking-glass. At last the happy day came; they went to Court, and Cinderella followed them with her eyes as long as she could, and when she had lost sight of them, she fell a-crying.
Her godmother, who saw her all in tears, asked her what was the matter.
“I wish I could—I wish I could—“; she was not able to speak the rest, being interrupted by her tears and sobbing.
This godmother of hers, who was a fairy, said to her, “Thou wishest thou couldst go to the ball; is it not so?”
“Y—es,” cried Cinderella, with a great sigh.
“Well,” said her godmother, “be but a good girl, and I will contrive that thou shalt go.” Then she took her into her chamber, and said to her, “Run into the garden, and bring me a pumpkin.”
Cinderella went immediately to gather the finest she could get, and brought it to her godmother, not being able to imagine how this pumpkin could make her go to the ball. Her godmother scooped out all the inside of it, having left nothing but the rind; which done, she struck it with her wand, and the pumpkin was instantly turned into a fine coach, gilded all over with gold.
She then went to look into her mouse-trap, where she found six mice, all alive, and ordered Cinderella to lift up a little the trapdoor, when, giving each mouse, as it went out, a little tap with her wand, the mouse was that moment turned into a fine horse, which altogether made a very fine set of six horses of a beautiful mouse-colored dapple-gray. Being at a loss for a coachman,
“I will go and see,” says Cinderella, “if there is never a rat in the rat-trap—we may make a coachman of him.”
“Thou art in the right,” replied her godmother; “go and look.”
Cinderella brought the trap to her, and in it there were three huge rats. The fairy made choice of one of the three which had the largest beard, and, having touched him with her wand, he was turned into a fat, jolly coachman, who had the smartest whiskers eyes ever beheld. After that, she said to her:
“Go again into the garden, and you will find six lizards behind the watering-pot, bring them to me.”
She had no sooner done so but her godmother turned them into six footmen, who skipped up immediately behind the coach, with their liveries all bedaubed with gold and silver, and clung as close behind each other as if they had done nothing else their whole lives. The Fairy then said to Cinderella:
“Well, you see here an equipage fit to go to the ball with; are you not pleased with it?”
“Oh! yes,” cried she; “but must I go thither as I am, in these nasty rags?”
Her godmother only just touched her with her wand, and, at the same instant, her clothes were turned into cloth of gold and silver, all beset with jewels. This done, she gave her a pair of glass slippers, the prettiest in the whole world. Being thus decked out, she got up into her coach; but her godmother, above all things, commanded her not to stay till after midnight, telling her, at the same time, that if she stayed one moment longer, the coach would be a pumpkin again, her horses mice, her coachman a rat, her footmen lizards, and her clothes become just as they were before.
She promised her godmother she would not fail of leaving the ball before midnight; and then away she drives, scarce able to contain herself for joy. The King’s son who was told that a great princess, whom nobody knew, was come, ran out to receive her; he gave her his hand as she alighted out of the coach, and led her into the ball, among all the company. There was immediately a profound silence, they left off dancing, and the violins ceased to play, so attentive was everyone to contemplate the singular beauties of the unknown new-comer. Nothing was then heard but a confused noise of:
“Ha! how handsome she is! Ha! how handsome she is!”
The King himself, old as he was, could not help watching her, and telling the Queen softly that it was a long time since he had seen so beautiful and lovely a creature.
All the ladies were busied in considering her clothes and headdress, that they might have some made next day after the same pattern, provided they could meet with such fine material and as able hands to make them.
The King’s son conducted her to the most honorable seat, and afterward took her out to dance with him; she danced so very gracefully that they all more and more admired her. A fine collation was served up, whereof the young prince ate not a morsel, so intently was he busied in gazing on her.
She went and sat down by her sisters, showing them a thousand civilities, giving them part of the oranges and citrons which the Prince had presented her with, which very much surprised them, for they did not know her. While Cinderella was thus amusing her sisters, she heard the clock strike eleven and three-quarters, whereupon she immediately made a courtesy to the company and hasted away as fast as she could.
When she got home she ran to seek out her godmother, and, after having thanked her, she said she could not but heartily wish she might go next day to the ball, because the King’s son had desired her.
As she was eagerly telling her godmother whatever had passed at the ball, her two sisters knocked at the door, which Cinderella ran and opened.
“How long you have stayed!” cried she, gaping, rubbing her eyes and stretching herself as if she had been just waked out of her sleep; she had not, however, any manner of inclination to sleep since they went from home.
“If thou hadst been at the ball,” said one of her sisters, “thou wouldst not have been tired with it. There came thither the finest princess, the most beautiful ever was seen with mortal eyes; she showed us a thousand civilities, and gave us oranges and citrons.”
Cinderella seemed very indifferent in the matter; indeed, she asked them the name of that princess; but they told her they did not know it, and that the King’s son was very uneasy on her account and would give all the world to know who she was. At this Cinderella, smiling, replied:
“She must, then, be very beautiful indeed; how happy you have been! Could not I see her?  I should be a fool.”
Cinderella, indeed, expected well such answer, and was very glad of the refusal; for she would have been sadly put to it if her sister had lent her what she asked for jestingly.
The next day the two sisters were at the ball, and so was Cinderella, but dressed more magnificently than before. The King’s son was always by her, and never ceased his compliments and kind speeches to her; to whom all this was so far from being tiresome that she quite forgot what her godmother had recommended to her; so that she, at last, counted the clock striking twelve when she took it to be no more than eleven; she then rose up and fled, as nimble as a deer. The Prince followed, but could not overtake her. She left behind one of her glass slippers, which the Prince took up most carefully. She got home but quite out of breath, and in her nasty old clothes, having nothing left her of all her finery but one of the little slippers, fellow to that she dropped. The guards at the palace gate were asked:
If they had not seen a princess go out.
Who said: They had seen nobody go out but a young girl, very meanly dressed, and who had more the air of a poor country wench than a gentlewoman.
When the two sisters returned from the ball Cinderella asked them: If they had been well diverted, and if the fine lady had been there.
They told her: Yes, but that she hurried away immediately when it struck twelve, and with so much haste that she dropped one of her little glass slippers, the prettiest in the world, which the King’s son had taken up; that he had done nothing but look at her all the time at the ball, and that most certainly he was very much in love with the beautiful person who owned the glass slipper.
What they said was very true; for a few days after the King’s son caused it to be proclaimed, by sound of trumpet, that he would marry her whose foot the slipper would just fit. They whom he employed began to try it upon the princesses, then the duchesses and all the Court, but in vain; it was brought to the two sisters, who did all they possibly could to thrust their foot into the slipper, but they could not effect it. Cinderella, who saw all this, and knew her slipper, said to them, laughing:
“Let me see if it will not fit me.”
Her sisters burst out a-laughing, and began to banter her. The gentleman who was sent to try the slipper looked earnestly at Cinderella, and, finding her very handsome, said:
It was but just that she should try, and that he had orders to let everyone make trial.
He obliged Cinderella to sit down, and, putting the slipper to her foot, he found it went on very easily, and fitted her as if it had been made of wax. The astonishment her two sisters were in was excessively great, but still abundantly greater when Cinderella pulled out of her pocket the other slipper, and put it on her foot. Thereupon, in came her godmother, who, having touched with her wand Cinderella’s clothes, made them richer and more magnificent than any of those she had before.
And now her two sisters found her to be that fine, beautiful lady whom they had seen at the ball. They threw themselves at her feet to beg pardon for all the ill-treatment they had made her undergo. Cinderella took them up, and, as she embraced them, cried:
That she forgave them with all her heart, and desired them always to love her.
She was conducted to the young prince, dressed as she was; he thought her more charming than ever, and, a few days after, married her. Cinderella, who was no less good than beautiful, gave her two sisters lodgings in the palace, and that very same day matched them with two great lords of the Court.(1)
(1) Charles Perrault.


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Questions
How did I get the idea? : From Eating Simulator .
Is there a copyright notice? : I didn't copy the code. I copied the idea.
It it more fun than Eating Simulator : By the way, I'm still working on the project. Maybe one day it will get better than Eating Simulator
Are you a comptitor of Eating Simulator : You will see...
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