Coverage Summary for Class: Inky (nl.tudelft.jpacman.npc.ghost)
| Class | Class, % | Method, % | Line, % |
|---|---|---|---|
| Inky | 100% (1/ 1) | 100% (4/ 4) | 91.3% (21/ 23) |
1 package nl.tudelft.jpacman.npc.ghost;
2
3 import nl.tudelft.jpacman.board.Direction;
4 import nl.tudelft.jpacman.board.Square;
5 import nl.tudelft.jpacman.board.Unit;
6 import nl.tudelft.jpacman.level.Player;
7 import nl.tudelft.jpacman.npc.Ghost;
8 import nl.tudelft.jpacman.sprite.Sprite;
9
10 import java.util.List;
11 import java.util.Map;
12 import java.util.Optional;
13
14 /**
15 *

16 * An implementation of the classic Pac-Man ghost Inky.
17 *

18 * AI: Inky has the most complicated AI of all. Inky considers two things: Blinky's
19 * location, and the location two grid spaces ahead of Pac-Man. Inky draws a
20 * line from Blinky to the spot that is two squares in front of Pac-Man and
21 * extends that line twice as far. Therefore, if Inky is alongside Blinky
22 * when they are behind Pac-Man, Inky will usually follow Blinky the whole
23 * time. But if Inky is in front of Pac-Man when Blinky is far behind him,
24 * Inky tends to want to move away from Pac-Man (in reality, to a point very
25 * far ahead of Pac-Man). Inky is affected by a similar targeting bug that
26 * affects Speedy. When Pac-Man is moving or facing up, the spot Inky uses to
27 * draw the line is two squares above and left of Pac-Man.
28 *

29 * Source: http://strategywiki.org/wiki/Pac-Man/Getting_Started
30 *

31 *
32 * @author Jeroen Roosen
33 */
34 public class Inky extends Ghost {
35
36 private static final int SQUARES_AHEAD = 2;
37
38 /**
39 * The variation in intervals, this makes the ghosts look more dynamic and
40 * less predictable.
41 */
42 private static final int INTERVAL_VARIATION = 50;
43
44 /**
45 * The base movement interval.
46 */
47 private static final int MOVE_INTERVAL = 250;
48
49 /**
50 * Creates a new "Inky".
51 *
52 * @param spriteMap The sprites for this ghost.
53 */
54 public Inky(Map<Direction, Sprite> spriteMap) {
55 super(spriteMap, MOVE_INTERVAL, INTERVAL_VARIATION);
56 }
57
58 /**
59 * {@inheritDoc}
60 *
61 *

62 * Inky has the most complicated AI of all. Inky considers two things: Blinky's
63 * location, and the location two grid spaces ahead of Pac-Man. Inky
64 * draws a line from Blinky to the spot that is two squares in front of
65 * Pac-Man and extends that line twice as far. Therefore, if Inky is
66 * alongside Blinky when they are behind Pac-Man, Inky will usually
67 * follow Blinky the whole time. But if Inky is in front of Pac-Man when
68 * Blinky is far behind him, Inky tends to want to move away from Pac-Man
69 * (in reality, to a point very far ahead of Pac-Man). Inky is affected
70 * by a similar targeting bug that affects Speedy. When Pac-Man is moving or
71 * facing up, the spot Inky uses to draw the line is two squares above
72 * and left of Pac-Man.
73 *

74 *
75 *

76 * Implementation:
77 * To actually implement this in jpacman we have the following approximation:
78 * first determine the square of Blinky (A) and the square 2
79 * squares away from Pac-Man (B). Then determine the shortest path from A to
80 * B regardless of terrain and walk that same path from B. This is the
81 * destination.
82 *

83 */
84 @Override
85 public Optional<Direction> nextAiMove() {
86 assert hasSquare();
87 Unit blinky = Navigation.findNearest(Blinky.class, getSquare());
88 Unit player = Navigation.findNearest(Player.class, getSquare());
89
90 if (blinky == null || player == null) {
91 return Optional.empty();
92 }
93
94 assert player.hasSquare();
95 Square playerDestination = player.squaresAheadOf(SQUARES_AHEAD);
96
97 List<Direction> firstHalf = Navigation.shortestPath(blinky.getSquare(),
98 playerDestination, null);
99
100 if (firstHalf == null) {
101 return Optional.empty();
102 }
103
104 Square destination = followPath(firstHalf, playerDestination);
105 List<Direction> path = Navigation.shortestPath(getSquare(),
106 destination, this);
107
108 if (path != null && !path.isEmpty()) {
109 return Optional.ofNullable(path.get(0));
110 }
111 return Optional.empty();
112 }
113
114
115 private Square followPath(List<Direction> directions, Square start) {
116 Square destination = start;
117
118 for (Direction d : directions) {
119 destination = destination.getSquareAt(d);
120 }
121
122 return destination;
123 }
124 }


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-- | This module implements the Quantum Fourier Transform. module QuipperLib.QFT ( qft_little_endian, qft_big_endian, qft_rev, qft_int ) where import Quipper import QuipperLib.Arith import Libraries.Auxiliary (mmap) -- ---------------------------------------------------------------------- -- * Low-level implementation -- | Like 'qft_rev', but without the comments and labels. -- -- Apply the Quantum Fourier Transform to a list of /n/ qubits. -- The input is little-endian and the output is big-endian. -- -- Unlike 'qft_little_endian' and 'qft_big_endian', this function can -- be used in imperative style, i.e., it modifies its arguments \"in -- place\". qft_internal :: [Qubit] -> Circ [Qubit] qft_internal [] = return [] qft_internal [x] = do hadamard x return [x] qft_internal (x:xs) = do xs' <- qft_internal xs xs'' <- rotations x xs' (length xs') x' <- hadamard x return (x':xs'') where -- Auxiliary function used by 'qft'. rotations :: Qubit -> [Qubit] -> Int -> Circ [Qubit] rotations _ [] _ = return [] rotations c (q:qs) n = do qs' <- rotations c qs n q' <- rGate ((n + 1) - length qs) q `controlled` c return (q':qs') -- ---------------------------------------------------------------------- -- * Wrappers -- | Apply the Quantum Fourier Transform to a list of /n/ qubits. -- Both the input and output qubit lists are little-endian, i.e., the -- leftmost qubit (head of the list) is the least significant one. -- -- Note that this function cannot be used in imperative style, i.e., -- it does not update its arguments \"in place\". The output qubits -- are in different physical locations than the input ones. qft_little_endian :: [Qubit] -> Circ [Qubit] qft_little_endian qs = do comment_with_label "ENTER: qft_little_endian" qs "qs" qs' <- qft_internal qs let qs = reverse qs' comment_with_label "EXIT: qft_little_endian" qs "qs" return qs -- | Apply the Quantum Fourier Transform to a list of /n/ qubits. -- Both the input and output qubit lists are big-endian, i.e., the -- leftmost qubit (head of the list) is the most significant one. -- -- Note that this function cannot be used in imperative style, i.e., -- it does not update its arguments \"in place\". The output qubits -- are in different physical locations than the input ones. qft_big_endian :: [Qubit] -> Circ [Qubit] qft_big_endian qs = do comment_with_label "ENTER: qft_big_endian" qs "qs" qs <- qft_internal (reverse qs) comment_with_label "EXIT: qft_big_endian" qs "qs" return qs -- | Apply the Quantum Fourier Transform to a list of /n/ qubits. -- The input is little-endian and the output is big-endian. -- -- Unlike 'qft_little_endian' and 'qft_big_endian', this function can -- be used in imperative style, i.e., it modifies its arguments -- \"in place\". qft_rev :: [Qubit] -> Circ [Qubit] qft_rev qs = do comment_with_label "ENTER: qft_rev" qs "qs" qs <- qft_internal qs comment_with_label "EXIT: qft_rev" qs "qs" return qs -- | Apply the Quantum Fourier Transform to a 'QDInt'. -- -- Note that this function cannot be used in imperative style, i.e., -- it does not update its arguments \"in place\". The output qubits -- are in different physical locations than the input ones. qft_int :: QDInt -> Circ QDInt qft_int x = do comment_with_label "ENTER: qft_int" x "x" x <- mmap qdint_of_qulist_bh $ qft_big_endian $ qulist_of_qdint_bh x comment_with_label "ENTER: qft_int" x "x" return x -- ---------------------------------------------------------------------- -- * Testing -- | A simple test. test :: Int -> IO () test n = print_generic Preview qft_little_endian (replicate n qubit)


About
This is an About page for the Intro to Flask article. Don't I look good? Oh stop, you're making me blush.
{% extends "layout.html" %} {% block content %}
This is an About page for the Intro to Flask article. Don't I look good? Oh stop, you're making me blush.


{% load staticfiles %}
Technology Consultation
Technology Consultation
CS 4501. Elliott Kim, Marissa Lee, Sherry Li
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|
SUBJECT INDEX Anthropology Architecture Art Black Studies Business Ecology Economics Education Film Healthcare History Law Linguistics Literature Mass Media Medicine Music Philosophy Political Science Psychology Religion Science Shakespeare Sociology Sports Recreation Urban Studies Women's Studies |
Education: Physical EdTo order a specific paper, click the Catalog Number button next to the Paper Title of interest. Send comments to<EMAIL_ADDRESS>Last Updated: 12/21/96 Copyright ©1996 ASM Communications, Inc. All Rights Reserved. |


Hi, my name is James, welcome to my blog. Here you'll find posts on an array of different subjects including tech/webdev, volunteering, travel, business/finance, guitar/music, politics, soccer, art, cooking, family, reading, and beer.
I am currently in my mid-twenties and living with my girlfriend in the Boston area. I'm enrolled in Flatiron School's online Learn Verified program in hopes of becoming a full stack web developer.
© 2016 James D. Rogers


| 用户 | 签到积分 | 总积分 | 时间 | 连续签到天数 | <#list page.getList() as mission>
|---|---|---|---|---|
| ${mission.nickname!} | ${mission.score!} | ${mission.totalScore!} | ${mission.in_time!} | ${mission.day!} |
| 用户 | 签到积分 | 总积分 | 时间 | 连续签到天数 | <#list page.getList() as mission>
|---|---|---|---|---|
| ${mission.nickname!} | ${mission.score!} | ${mission.totalScore!} | ${mission.in_time!} | ${mission.day!} |


This area was created in Current Crop Map to correct land cover data and is applied to all scenarios.


{% load i18n %}
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Lab 3
Exploring travel discount rules project
Lab Goal
To explore JBoss BRMS project with travel discount rules and rule tests to understand how they work.
ARCHITECTURE
Deploy travel discount rules on OpenShift Container Platform
VIEW PROJECT
- Open project by clicking on menu entry Authoring -> Project Authoring:
DECISION TABLE
Project opens with discount rules in decision table
DISCOUNT RULES
- Table has rules for Flights, Cars and Hotels:
Flights: for diverse asian airport codes gets 10 discount
Cars: for Hertz car rental company gets 15 discount
Hotel: for length of stay six or more days gets 10 discount
RULES TEST
Open the TEST SCENARIOS tab on right in Project Explorer and click on TestDiscountRules to open...
TEST RUN FAILS
Click on Run scenario button top righ to see test fail...
FIX RULE TEST
Note red failure, look where it failed and fix:
WHAT'S NEXT?
Infrastructure automation to deploy applications...
- You understand the discount rules and have tested them
- Going to use Ansible Playbooks to automate container deployments


Bring people together with a few clicks. Create your own group, classroom or study circle to share, monitor and connect.


More Jataka Tales
by Ellen C. Babbitt
“Beauty and Brownie”
Additional Information
- Year Published: 1922
- Language: English
- Country of Origin: India
- Source: Babbitt, E.C. (Ed.). (1922). More Jataka Tales. New York, NY: D. Appleton-Century Company.
-
Readability:
- Flesch–Kincaid Level: 4.3
- Word Count: 384
- Genre: Fairy Tale/Folk Tale
- Keywords: advice, deer, moral
- ✎ Cite This
Downloads
Two Deer named Beauty and Brownie lived with their father and mother and great herds of Deer in a forest. One day their father called them to him and said: “The Deer in the forest are always in danger when the corn is ripening in the fields. It will be best for you to go away for a while, and you must each take your own herd of Deer with you.” “What is the danger, Father?” they asked. “When the Deer go into the fields to eat the corn they get caught in the traps the men set there,” the father said. “Many Deer are caught in these traps every year.”
“Shall you go away with us?” Brownie said. “No, your mother and I, and some of the other old Deer will stay here in the forest,” said the father. “There will be food enough for us, but there is not enough for you and your herds. You must lead your herds up into the high hills where there is plenty of food for you, and stay there until the crops are all cut. Then you can bring your herds back here. But you must be careful. “You must travel by night, because the hunters will see you if you go by day. And you must not take your herd near the villages where hunters live.”
So Beauty and Brownie and their herds set out. Beauty traveled at night and did not go near any villages, and at last brought his herd safely to the high hills. Not a single Deer did Beauty lose. But Brownie forgot what his father had said. Early each morning he started off with his herd, going along all through the day. When he saw a village, he led his herd right past it. Again and again hunters saw the herd, and they killed many, many of the Deer in Brownie’s herd.
When crops had been cut, the Deer started back to the forest.  When he reached the forest only a few were left of all Brownie’s herd.


{% extends "base_lost.html" %} {% load static %} {% block title %} {{ block.super }} - About {% endblock %} {% block breadcrumb %} About {% endblock %} {% block content %}
Lost and Found is a haven for lost objects. Users can post objects which they found and the owners can contact the users to pick up the lost object. All you need is a picture of the lost object and a short description of the object, where you found it and where you want the owner to come and pick it up. Users have to find a way to verify the the lost object belongs to the rightful owner if contacted. So what are you waiting for? sign up and join the L + F family.
Give a simple description of the object, where you found it and how the owner can pick it up.
Users can search our database for items which they have lost. If found, you'll find instructions on how to pick up the lost items.
We have provided detailed documentation as well as specific examples to help new users get started. We are also always open to feedback and can answer any questions a user may have about L + F.


A JavaScript countdown web app that supports URL encoded countdowns, easy input, sharing your countdowns and a timer.
Much thanks to amsul for his pickadate.js library, which is used for the date dropdowns. It is licensed under the MIT License.
A port for desktop written in C# also supports multiple countdowns and Windows PC support. You can download this port with the button below (only Windows is supported in the meanwhile).


| {{'competenceevaluation.competence' | translate}} | {{'competenceevaluation.answers' | translate}} | {{'competenceevaluation.level' | translate}} | {{'competenceevaluation.competenceProfile' | translate}} |
|---|---|---|---|
| {{competenceevaluation.competence}} | {{competenceevaluation.answers}} | {{competenceevaluation.level}} | {{competenceevaluation.competenceProfile}} |


|
2DGameSDK
1.0
2D Game Engine in C++ based on SFML
|
Abstract class that defines an Entity that is Transformable and can be placed on the SceneGraph. More...
#include <TransformableEntity.h>
Public Member Functions | |
| TransformableEntity (int type) | |
| Creates a new Transformable Entity object. More... | |
| ~TransformableEntity () | |
| Destroys the Transformable Entity object. More... | |
| void | SetGraphNode (SceneGraphNode *graphNode) |
| Set the Graph Node object. More... | |
| virtual sf::Transformable * | GetTransformable ()=0 |
| Retreives the reference to the SFML Transformable wich can be used to apply transformations to the Transformable Entity. More... | |
| Public Member Functions inherited from game::Entity | |
| Entity (int type) | |
| Creates a new Entity object. More... | |
| ~Entity () | |
| Destroys the Entity object. More... | |
| int | GetId () |
| Retreives the Id. More... | |
| int | GetType () |
| Retreives the Type. More... | |
| virtual void | Tick ()=0 |
| Updates the Entity. More... | |
| virtual void | Render (sf::RenderTarget *target, sf::RenderStates states=sf::RenderStates::Default)=0 |
| Renders the Entity. More... | |
Protected Attributes | |
| SceneGraphNode * | mGraphNode = nullptr |
| Protected Attributes inherited from game::Entity | |
| int | mType |
| int | mId |
Abstract class that defines an Entity that is Transformable and can be placed on the SceneGraph.
| game::TransformableEntity::TransformableEntity | ( | int | type | ) |
| game::TransformableEntity::~TransformableEntity | ( | ) |
Destroys the Transformable Entity object.
|
pure virtual |
Retreives the reference to the SFML Transformable wich can be used to apply transformations to the Transformable Entity.
Implemented in game::AnimatedTransformableEntity, and game::SpriteTransformableEntity.
| void game::TransformableEntity::SetGraphNode | ( | game::SceneGraphNode * | graphNode | ) |
Set the Graph Node object.
| graphNode | The corresponding SceneGraphNode |


FUN_imageCompressor_2019
Code an image Compressor in Haskell using Kmeans Algorithm
How to use
make
This will compile an executable called imageCompressor
.
Arguments
./imageCompressor n e IN
. n number of colors in the final image . e convergence limit . IN path to the file containing the colors of the pixel
Example :
./imageCompressor 3 0.8 liste
will compress the image contained in the IN file with 3 final colors and a convergence limit of 0.8.
Authors
- Niels Hoez - nielshoez
License
This project is licensed under the MIT License - see the LICENSE file for details


Keyboard mode: TAB moves focus to next card, SHIFT+TAB moves focus to previous card and ENTER selects card.


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The post Free Icon Limited MotoSports Catalog appeared first on SweetFreeStuff.com.• Email to a friend • Article Search - http://www.feedblitz.com/f/f.fbz?Search=927397;14321587;Free Magazines;Free Icon Limited MotoSports Catalog;4769089 • View comments - http://feeds.feedblitz.com/&;/54511207/0/sweetfreestuff&;Free-Icon-Limited-MotoSports-Catalog/ • Track comments - http://www.feedblitz.com/f/f.fbz?Track=http%3a%2f%2ffeeds.feedblitz.com%2f&;%2f54511207%2f0%2fsweetfreestuff&;Free-Icon-Limited-MotoSports-Catalog%2ffeed%2f&ref=comment:927397 •
** Free Breathe Right Nasal Strips - http://p.feedblitz.com/r3.asp?l=83729938&f=927397&u=34705849&c=4769089
Click the link offer link and complete the form for 2 free samples. Free Breathe Right Nasal Strips
The post Free Breathe Right Nasal Strips appeared first on SweetFreeStuff.com.• Email to a friend • Article Search - http://www.feedblitz.com/f/f.fbz?Search=927397;14321587;Free Samples;Free Breathe Right Nasal Strips;4769089 • View comments - http://feeds.feedblitz.com/&;/49607665/0/sweetfreestuff&;Free-Breathe-Right-Nasal-Strips/ • Track comments - http://www.feedblitz.com/f/f.fbz?Track=http%3a%2f%2ffeeds.feedblitz.com%2f&;%2f49607665%2f0%2fsweetfreestuff&;Free-Breathe-Right-Nasal-Strips%2ffeed%2f&ref=comment:927397 •


Input
DistanceMap
Please use a browser that supports "canvas"
Please use a browser that supports "canvas"


{% extends "layout_picker.html" %} {% set serviceName = "Apply for an older person's bus pass" %} {% set pageTitle = "You need to get a digital photo from a shop" %} {% block content %}
Ask for a digital passport style photo from a photo shop.
You'll need to restart your application for an older person's bus pass. You do not need set up GOV.UK Verify again, just sign in with your certified company.
If you need help with getting a digital photo, contact {{council.name}}.


HyAPI Machine Learning Toolkit
{% block content %}
Training Service Demo
Object Detection Demo
Infrastructure as Service Demo
Machine Learning Demo Services
{{status}}
{% endblock %}


-
iOS 6.1
Apple released iOS 6.1
4折
-
BlackBerry 10
BlackBerry launched the Z10 and Q10 with the new BB10 OS
4折
-
WP 7.8
Nokia rolls out WP 7.8 to Lumia 800
4折
-
Galaxy
New Samsung Galaxy Express
4折
-
Nexus 7
Rumours about new full HD Nexus 7
8折
-
Firefox OS
ZTE to launch Firefox OS smartphone at MWC
8折
-
Tizen
First Samsung phones with Tizen can be expected in 2013
8折
-
Symbian
Nokia confirms the end of Symbian
8折


write_term/[2,3]
[ISO,hookable]write_term(
+Stream,
+Term,
+Options)
write_term(
+Term,
+Options)
Writes Term on the standard output stream, subject to +Options.
A valid open Prolog stream, defaults to the current output stream.
A list of zero or more of the following,
where Boolean must be true
or false
(false
is
the default).
quoted(
Boolean)
read/1
. write_canonical/1
,
writeq/1
, and portray_clause/1
select this.
Any output produced by write_term/2
with the option
quoted(true)
will be in Normal Form C, as defined by
Unicode. See ref-syn-syn-tok for further details.
ignore_ops(
Boolean)
write_canonical/1
and
display/1
select this.
portrayed(
Boolean)
user:portray/1
is called for each non-variable subterm.
print/1
selects this.
numbervars(
Boolean)
'$VAR'(
N)
where
N is an integer >= 0, an atom, or a code-list, are
treated specially (see numbervars/3
). print/1
,
write/1
, writeq/1
, and portray_clause/1
select
this.
cycles(
Boolean)
@/2
notation, as discussed above.
indented(
Boolean)
portray_clause/1
and listing/[0,1]
.
max_depth(
Depth)
quoted_charset(
Charset)
quoted(true)
holds.
Charset should be a legal value of the quoted_charset
Prolog
flag, where it takes its default value from. write_canonical/1
selects the value portable
. See ref-lps-flg.
float_format(
Spec)
format/[2,3]
character
sequences for printing floats. The default is `~H'.
priority(
Prio)
This predicate subsumes the predicates that output terms except
portray_clause/[1,2]
, which additionally prints a period and a
newline, and removes module prefixes that are redundant wrt. the
current type-in module.
During debugging, goals are written out by this predicate with options
given by the debugger_print_options
Prolog flag.
Top-level variable bindings are written out by this predicate with options
given by the toplevel_print_options
Prolog flag.
Stream errors (see ref-iou-sfh-est), plus:
instantiation_error
type_error
domain_error
How certain options affect the output of write_term/2
:
| ?- write_term('a b', [quoted(true)]). 'a b' | ?- write_term(a+b, [ignore_ops(true)]). +(a,b) | ?- write_term(f('$VAR'(2)), [numbervars(true)].) f(C) | ?- write_term(f('$VAR'('C')), [numbervars(true)]). f(C)
If your intention is to name variables such as that
generated by read_term/2
with the variable_names
option then this can be done by defining a predicate
like:
var_to_names([]) :- !. var_to_names([=(Name,Var)|RestofPairs]) :- ( var(Var) -> Var = '$VAR'(Name) ; true ), var_to_names(RestofPairs). | ?- read_term([variable_names(Names)], X), var_to_names(Names), write_term(X, [numbervars(true)]), nl, fail. |: a(X, Y). a(X, Y). no
ref-iou-tou, user:portray/1
.


David Uli
www.daviduli.com
2412 Basswood Drive, San Ramon CA 94582
<EMAIL_ADDRESS>T:<PHONE_NUMBER>
W:<PHONE_NUMBER>
www.github.com/NorCalDavid
Store Manager / District Training Manager (November 2008-June 2011)
Aggressively turned around a failing store, increasing annual same-store revenue from $7.5 million to $9.8 million
and reducing shrinkage from 2.7% to .57% in less than two years.
Effectively managed 45 store employees.
Managed employee training program for all stores in the Louisiana District.
Acted as Interim District Manager from February to June of 2011.
Office Depot, Metairie, LA
June 1995 – November 2008
Store Manager (December 2004-November 2008)
Managed three store branches with sales volume between $4-7 million.
Turned around a fully impaired store with a 14-year projected loss.
Finished 2005 with an increase in operating
profit of over $300,000, the first time the store had positive profit since opening.
Achieved Chairman’s Circle Award for 2005 Store Performance.
District Operational Trainer (November 2000-September 2004)
Responsible for the orientation and training for 14 new store openings.
Hosted Management Skills Classes for all levels of Management in the District.
OTHER PROFICIENCIES
Microsoft Excel
▪
Word
▪
PowerPoint
▪
Access
▪
Publisher
Adobe Creative Suite
EDUCATION
Dev Bootcamp –
Full Stack Web Development – 2015
University of Phoenix –
Business Administration – 1999-2000
Louisiana State University –
Computer and Electrical Engineering – 1996-1998
University of New Orleans –
Electrical Engineering – 1995-1996
*References Available Upon Request


Suggests to replace trivial pattern match on a boolean expression with a conditional statement.
Before:
bool match { case true => ??? case false => ??? }
After:
if (bool) { ??? } else { ??? }


Authors: Elwin van ‘t Wout, Duncan van der Heul, Harmen van der Ven and Kees Vuik
Source: FERMAT, Volume 17, Communication 8, Sep-Oct, 2016
Abstract: The Time Domain Integral Equation (TDIE) method is an appealing method for timedependent scattering analysis of electromagnetic waves. As a surface integral equation method, it is computationally efficient for scattering models at arbitrarily shaped objects and automatically satisfies radiation conditions for exterior problems. The time-domain formulation allows for the simulation of broadband signals at materials with nonlinear constitutive relations. However, its applicability has long been restricted by computational difficulties to obtain stable simulations for large-scale objects. Here, a stability analysis will be presented that is based on an established functional framework and stability theorem for a variational formulation of the electric field integral equation (EFIE). The functional framework will be extended to the differentiated version of the EFIE, which is more efficient to discretize and more conventional in engineering literature. Then, a discrete equivalence between Petrov-Galerkin and collocation schemes will be presented. This allows for a stability study of popular temporal basis functions. The impact of the stability theorem on the choice of discretization scheme is given by the recommendation to use quadratic spline basis function in the standard Marching-on-in-Time scheme. Computational experiments of time-dependent scattering at a generic aircraft confirm the stability analysis of the TDIE method.
Keywords: electromagnetic scattering, integral equation method, time domain analysis, stability.
View PDF
Stability Analysis of the Time Domain Integral Equation Method for Radar Scattering Analysis


My name is Moral Jera and welcome to my portfolio page. I am a junior developer who's passionate about Software Craftmanship and the important role software plays in society. I enjoy learning , playing video games and reading blog posts.
The following projects were created using Vanilla Javascript, HTML and CSS. Some of the many projects I have done using these three technologies.
The following projects are some of my projects that I created using React/Redux. As while as localstorage.


Diversity Consultant | Project Manager | Workshop Instructor | Sociologist
In summer 2014, right after I finished my Master studies, I was trained to be a professional workshop instructor. At the Network for Democracy and Courage (NDC) I learned about how to engage participants and present content in an easy-to-understand way. During the workshops, I had to be very flexible and always adapt to the specific needs of the students.
By working for the NDC I acquired experiences in:
- development and conduction of workshops (1 to 6 hours long)
- solving arising conflicts, engaging participants, facilitating knowledge
- finding the right approach to a group taking in account age, gender, nationality and social-economic background
The NDC is an NGO offering workshops for schools, starting from 5th grade. The workshops are designed to interact with students, discuss current societal problems and empower them to act against discrimination in their everyday lives.
The main focus of the workshops were racism, empowerment, and diversity.
Selected workshop topics:
- What does Civil Society mean? How can we participate in democracy?
- What does “moral courage” mean and how can we help people being exposed to discrimination?
- What is racism and how can we act on it?
- How do gender, sex, and sexuality influence our daily lives?
- Right-wing populism and its dangers (e.g. Neo-Nazis or the AfD in Germany)
Teambuilding exercises were one of the most fun parts of my training. Each game or exercise had a specific goal and targeted ‘audience’. In order to correctly assess what your target group needs at a specific point in time, we had to personally instruct and experience the games.
Some of the games strengthen the team’s collaboration skills, some are meant to energize you when you’re tired and some are a great method to calm down once things get too heated. And some were just plain fun.
I worked for the NDC for more than one year and quit my job at the end of 2015 in order to start my new life in Denmark.
Back to Project Overview


Notebook for
Turtles All the Way Down
John Green
ONE
Highlight (yellow) - Location 47
I was beginning to learn that your life is a story told about you, not one that you tell.
Highlight (yellow) - Location 111
The thing about a spiral is, if you follow it inward, it never actually ends. It just keeps tightening, infinitely.
Highlight (yellow) - Location 127
we were looking at the same sky together, which is maybe more intimate than eye contact anyway. Anybody can look at you. It’s quite rare to find someone who sees the same world you see.
TWO
Highlight (yellow) - Location 143
“It’s just weird, how this is decided by someone I don’t know and then I have to live by it. Like, I live on someone else’s schedule. And I’ve never even met them.” “Yes, well, in that respect and many others, American high schools do rather resemble prisons.”
Highlight (yellow) - Location 165
I don’t like to throw the L-word around; it’s too good and rare a feeling to cheapen with overuse.
Highlight (yellow) - Location 166
You can live a good life without ever knowing real love, of the Corinthians variety, but I was fortunate to have found it with Harold. He was a sixteen-year-old Toyota Corolla with a paint color called Mystic Teal Mica and an engine that clanked in a steady rhythm like the beating of his immaculate metallic heart. Harold had been my dad’s car—in fact, Dad had named him Harold. Mom never sold him, so he stayed in the garage for eight years, until my sixteenth birthday.
Highlight (yellow) - Location 198
I eased Harold up to highway speed. I never drove him faster than the speed limit. I loved him too much.
THREE
Highlight (yellow) - Location 258
True terror isn’t being scared; it’s not having a choice in the matter.
FOUR
Highlight (yellow) - Location 456
“Whether it hurts is kind of irrelevant.”
SIX
Highlight (yellow) - Location 545
Sometimes you happen across a brilliant run of radio songs, where each time one station goes to commercial, you scan to another that has just started to play a song you love but had almost forgotten about, a song you never would’ve picked but that turns out to be perfect for shouting along to.
NINE
Highlight (yellow) - Location 991
Your now is not your forever.
TEN
Highlight (yellow) - Location 1258
He’d taken most of the pictures himself, so you rarely see him—instead, you see what he saw, what looked interesting to him, which was mostly me, Mom, and the sky broken up by tree branches.
FOURTEEN
Highlight (yellow) - Location 1883
What I love about science is that as you learn, you don’t really get answers. You just get better questions.”
SEVENTEEN
Highlight (yellow) - Location 2211
In the best conversations, you don’t even remember what you talked about, only how it felt.
TWENTY
Highlight (yellow) - Location 2447
Maybe we invented metaphor as a response to pain. Maybe we needed to give shape to the opaque, deep-down pain that evades both sense and senses.
TWENTY-TWO
Highlight (yellow) - Location 2691
It makes me feel like you only like me at a distance. I need to be liked close up.
Highlight (yellow) - Location 2834
You’d think solving mysteries would bring you closure, that closing the loop would comfort and quiet your mind. But it never does. The truth always disappoints.
TWENTY-THREE
Highlight (yellow) - Location 2872
People always talk like there’s a bright line between imagination and memory, but there isn’t, at least not for me. I remember what I’ve imagined and imagine what I remember.
TWENTY-FOUR
Highlight (yellow) - Location 3023
Good-bye, Aza, and no one ever says good-bye unless they want to see you again.


title: “rnassqs: An R
package to access agricultural data via the USDA National Agricultural Statistics Service (USDA-NASS) ‘Quick Stats’ API” authors:
The rnassqs R
package [@rnassqs] is an API wrapper for the United States Department of Agriculture National Agricultural Statistics Service (USDA-NASS) ‘Quick Stats’ API [@quickstats]. The core functionality allows the user to query agricultural data from ‘Quick Stats’ in a reproducible and automated way.
rnassqs
manages API authentication by setting a system environmental variable for the duration of the R
session. Convenience functions facilitate querying common data. Users can also use rnassqs
to query the list of data parameters and available values for a given parameter (for example, to see the commodities available). The query can request data in JSON or CSV formats, and parses that data into a data.frame
object.
rnassqs
was written to address issues that arise from accessing data via a point-and-click interface, particularly in terms of automation and reproducibility of data requests.
‘Quick Stats’ is a web interface to access data produced by USDA-NASS. The data comes primarily from the Census of Agriculture [@agCensus], but also includes data from USDA-NASS surveys on a wide range of topics. The Census of Agriculture is conducted every five years in years ending in ‘2’ and ‘7’. The most recent census was completed in 2017. ‘Quick Stats’ provides access to census data beginning in 1997, and some survey data as far back as 1850.
Aggregate data from the census and surveys is released primarily at the national, state, and county level, though some data may be released for congressional districts, watersheds, and zip codes. It includes a range of data classified under five sectors: Animals & Products, Crops, Demographics, Economics, and Environmental. Examples of data available in these sectors include counts of farms, farm operators, acres of cropland, farm sales, farm expenses, and crop yields, to name a few.
rnassqs
over ‘Quick Stats’‘Quick Stats’ provides a number of selection fields in which the user can select categories of data. Selections available in each field change to reflect available options based on other selections that the user has made. Data requests are limited to 50,000 records. This works well for exploration of available data or quick access to data for a single use. However, there are several cases in which the ‘Quick Stats’ interface is not ideal:
rnassqs
addresses each of these issues by making the ‘Quick Stats’ API accessible with R
code. This allows the user to loop over a series of requests to address the first issue, to execute (perhaps automated on a schedule) a data request repeatedly to access new data with the same query to address the second, and to make code available that allows others to reproducibly access the same data to address the third.
For example, there are currently there are currently 332,125 records of crop yields in all U.S. counties from 2000 to 2018. Accessing this data through ‘Quick Stats’ would require manually selecting either a set of years or a set of states to reduce each request to less than 50,000 records and then aggregating that data. With rnassqs
this can be done with:
# Access yields for all counties and all crops
params <- list(sector_desc = "CROPS",
group_desc = c("FIELD CROPS", "FRUIT & TREE NUTS",
"HORTICULTURE", "VEGETABLES"),
statisticcat_desc = "YIELD",
agg_level_desc = "COUNTY")
# Get all years from 2000 to 2018 in a list of data.frames
data_list <- lapply(2000:2018, function(yr) {
params$year <- yr
rnassqs::nassqs(params, url_only = TRUE)
})
# Aggregate the list of data.frames into a single data.frame
d <- do.call("rbind", data_list)
rnassqs
USDA-NASS also provides FTP access to text data files^[Available at: ftp://ftp.nass.usda.gov/quickstats/]. By accessing the data via FTP users can avoid using the selection interface of ‘Quick Stats’ and avoid limitations on the number of records per request, but do not resolve issues of automated repeated requests or of making data requests reproducible.


Site visitors get to it only after clicking the links outputted by any of these tags {tag_button,Your Text} or {tag_question}.
{tag_name_nolink} | Booking name (will not have a hyperlink) e.g. This is the event name |
{tag_name} | Booking name including a hyperlink. The hyperlink sends the user to the event's detail layout |
{tag_body} | Details of booking (editor content) e.g. Something about the event goes here. |
{tag_capacity} | Total number of seats for booking e.g. 130 |
{tag_percentfull} | Percentage of booking seats already booked e.g. 40% |
{tag_date} | Date of booking e.g. 24-Aug-2014 |
{tag_addtofavorites,add_Image, remove_Image} | Add booking to favorites list. Optionally customize to display your own custom image for adding and removing like so - {tag_addtofavorites,,} |
{tag_bookingday} | Day of Booking e.g. 24 if the booking date is 24-Aug-2014 |
{tag_bookingmonth} | Month of Booking e.g. Aug if the booking date is 24-Aug-2014 |
{tag_bookingyear} | Year of Booking e.g. 2014 if the booking date is 24-Aug-2014 |
{tag_button,Your Text} | creates a link that enables the user to navigate to the event's detail layout (replace Your Text with your own text) |
{tag_capacitydescription} | Description for number of seats available. The possible values are: Available, Filling Up, Almost Full and Full |
{tag_capacityempty} | Number of available seats left for booking e.g. 79 |
{tag_day} | Day of booking e.g. Saturday if the booking date is 24-Aug-2013 |
{tag_lastupdatedate} | Date and time the booking was last updated e.g. 29-Jan-2013 08:57 PM |
{tag_tellafriend} | Tell a friend about this booking |
{tag_classifications} | List of categories that this booking is classified under e.g. Company, Solutions |


Popular, Traditional, multi-cuisine restaurant
Has all kinds of exquisite variety of South Indian Dishes
Gallery
_____
_____
_____
Open Between--
7am - 9pm
Reach Us Out Through--!!
| 044 - 2235 4431 | 044 - 2235 4432 |
| 044 - 2235 4433 | 044 - 2235 4434 |
Reserve your seats to avoid waiting!!!
Place your online Reservation here!!!
Let us know here <--
Home Delivery!!!
Your Feedback is our wealth!!
End of Page
Go to Top


hola
function foo(items) { var x = "All this is syntax highlighted"; return x; }
Project list
Autogenerated Help
Drop files here to upload.
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Located in /OAuth.php (line 191)
pretty much a helper function to set up the request
pretty much a helper function to set up the request
attempt to build up a request from what was passed to the server
attempt to build up a request from what was passed to the server
util function: current nonce
util function: current nonce
util function: current timestamp
util function: current timestamp
helper to try to sort out headers for people who aren't running apache
helper to try to sort out headers for people who aren't running apache
util function for turning the Authorization: header into
util function for turning the Authorization: header into parameters, has to do some unescaping
just uppercases the http method
just uppercases the http method
parses the url and rebuilds it to be
parses the url and rebuilds it to be scheme://host/path
Returns the normalized parameters of the request This will be all (except oauth_signature) parameters, sorted first by key, and if duplicate keys, then by value.
Returns the normalized parameters of the request This will be all (except oauth_signature) parameters, sorted first by key, and if duplicate keys, then by value. The returned string will be all the key=value pairs concated by &.
Returns the base string of this request The base string defined as the method, the url and the parameters (normalized), each urlencoded and the concated with &.
Returns the base string of this request The base string defined as the method, the url and the parameters (normalized), each urlencoded and the concated with &.
builds the Authorization: header
builds the Authorization: header
builds the data one would send in a POST request
builds the data one would send in a POST request
builds a url usable for a GET request
builds a url usable for a GET request
Documentation generated on Thu, 22 Oct 2009 12:54:45 -0700 by phpDocumentor 1.4.3


Sadly, this Pulsar is empty. It has no pulse. It needs people like you to create a profile and publish some pulses for others to read.


Grammy: Nigerians Hail Burna Boy, Drag 9ice For Not Winning As Promised
by Oyindamola OlubajoShortly after the news of Burna Boy bagging Grammy awards nomination broke on the internet, some Twitter users have dug up an old song of indigenous singer 9ice who had vowed to win.
The announcement was made by the Recording Academy, popularly known as the Grammy Awards.
Burna Boy was nominated in the World Music category for his album ‘African Giant‘ which was released on Friday, July 26, featuring acts like YG, Darmian Marley, Jorja Smith, Manifest, Angelique Kidjo among others.
The World Music category has African music legend like Angelique Kidjo who is also a Grammy winner as a nominee.
Reacting to Burna Boy’s feat, some Twitter users recalled a song in 9ice’s ‘Tradition’ album street credibility where he said “Don’t doubt me, I go bring home grammy”
While the users commended Burna Boy, they shaded 9ice on the grounds that he did not bring home any Grammy nomination.
See some tweets below


Roger Package¶
The roger package contains a number of higher-level abstractions for working with the amqp package.
Producer¶
The Producer
type makes it dead-simple to publish messages with broker confirmations
enabled. It lives in the roger/amqpproducer
package.
By default, the Producer.Publish()
method will not return until a confirmation for
the publication has been received from the broker, an error occurs, or the context
passed to it expires, like so:
// Get a new connection to our test broker.
connection, err := amqp.DialCtx(context.Background(), amqptest.TestDialAddress)
if err != nil {
panic(err)
}
defer connection.Close()
// Get a new channel from our robust connection for publishing. The channel is
// created with our default middleware.
channel, err := connection.Channel()
if err != nil {
panic(err)
}
// Declare a queue to produce to
queue, err := channel.QueueDeclare(
"example_confirmation_producer", // name
false, // durable
true, // autoDelete
false, // exclusive
false, // noWait
nil, // args
)
// Create a new producer using our channel. Passing nil to opts will result in
// default opts being used. By default, a Producer will put the passed channel in
// confirmation mode, and each time publish is called, will block until a
// confirmation from the server has been received.
producer := amqpproducer.New(channel, nil)
producerComplete := make(chan struct{})
// Run the producer in it's own goroutine.
go func() {
// Signal this routine has exited on exit.
defer close(producerComplete)
err = producer.Run()
if err != nil {
panic(err)
}
}()
messagesPublished := new(sync.WaitGroup)
for i := 0; i < 10; i++ {
messagesPublished.Add(1)
// Publish each message in it's own goroutine.
go func() {
// Release our WaitGroup on exit.
defer messagesPublished.Done()
ctx, cancel := context.WithTimeout(context.Background(), 5*time.Second)
defer cancel()
// Publish a message, this method will block until we get a publication
// confirmation from the broker OR ctx expires.
err = producer.Publish(
ctx,
"",
queue.Name,
false,
false,
amqp.Publishing{
Body: []byte("test message"),
},
)
fmt.Println("Message Published!")
if err != nil {
panic(err)
}
}()
}
// Wait for all our messages to be published
messagesPublished.Wait()
// Start the shutdown of the producer
producer.StartShutdown()
// Wait for the producer to exit.
<-producerComplete
// exit.
// Message Published!
// Message Published!
// Message Published!
// Message Published!
// Message Published!
// Message Published!
// Message Published!
// Message Published!
// Message Published!
// Message Published!
Consumer¶
The Consumer
type allows registration of consumer handlers that take in a delivery and
return error information. It lives in the roger/amqpconsumer
package.
Delivery ACK, NACK, requeue and other boilerplate is handled for you behind the scenes. Additional options like max concurrent processors are made available for setting up robust consumer programs with as little boilerplate as possible.
A Route handler might looks something like this:
type BasicProcessor struct {
}
// ConsumeArgs returns the args to be made to the consumer's internal
// Channel.Consume() method.
func (processor *BasicProcessor) AmqpArgs() amqpconsumer.AmqpArgs {
return amqpconsumer.AmqpArgs{
ConsumerName: "example_consumer_queue",
AutoAck: false,
Exclusive: false,
Args: nil,
}
}
// SetupChannel is called before consuming begins, and allows the handler to declare
// any routes, bindings, etc, necessary to handle it's route.
func (processor *BasicProcessor) SetupChannel(
ctx context.Context, amqpChannel middleware.AmqpRouteManager,
) error {
_, err := amqpChannel.QueueDeclare(
"example_consumer_queue",
false,
false,
false,
false,
nil,
)
if err != nil {
return fmt.Errorf("error declaring Queue: %w", err)
}
return nil
}
// HandleDelivery is the business logic invoked for each delivery.
func (processor *BasicProcessor) HandleDelivery(
ctx context.Context, delivery amqp.Delivery,
) (requeue bool, err error) {
// Print the message
fmt.Println("BODY:", delivery.Body)
// Returning no error will result in an ACK of the message.
return nil, false
}
// Cleanup allows the route handler to remove any resources necessary on close.
func (processor *BasicProcessor) CleanupChannel(
ctx context.Context, amqpChannel middleware.AmqpRouteManager,
) error {
_, err := amqpChannel.QueueDelete(
"example_consumer_queue", false, false, false,
)
if err != nil {
return fmt.Errorf("error deleting Queue: %w", err)
}
return nil
}
Registering our handler and running our consumer might look something like this:
// Get a new connection to our test broker.
connection, err := amqp.Dial(amqptest.TestDialAddress)
if err != nil {
panic(err)
}
defer connection.Close()
// Get a new channel from our robust connection.
channel, err := connection.Channel()
if err != nil {
panic(err)
}
// Create a new consumer that uses our robust channel.
consumer := rconsumer.New(channel, rconsumer.DefaultOpts())
defer consumer.StartShutdown()
// Create a new delivery processor and register it.
processor := new(BasicProcessor)
err = consumer.RegisterProcessor(processor)
if err != nil {
panic(err)
}
// This method will block forever as the consumer runs.
err = consumer.Run()
if err != nil {
panic(err)
}


Lab Materials
Each day of the course will end with one or two brief lab sessions during which we will demonstrate software and techniques for working with connectomics data. In particular, these will provide tutorials that will assist the students of 0407-03: Instrumentação Biomédica e Imagens Médicas complete their research project. Each lab session will last roughly 30 minutes. In addition to the information listed below, lab materials will be available on the course's github repository.
Lab #1: Working with neuroimaging data using Python and Nipy
Monday, July 28
Instructor: Caroline Froehlich
Objective: Python is quickly becoming the predominate programming language for neuroimaging research. This is due in part to the overall popularity of python, but also reflects the maturity Python resources, such as Nipy, for working with neuroimaging data. This demonstration will provide a brief overview Python and Nipy, that is aimed at course attendees who are familiar with programming. During this demonstration, attendees will learn to write Python scripts to read, write, and visualize neuroimaging data, as well as perform basic manipulations on the data such as ROI time series extraction, and calculating basic functional connectivity measures.
Resources: Python web page, Nipy web page, Python Notebook
Lab #2: Open Science resources for connectomes research
Monday, July 28
Instructor: Cameron Craddock
Objective: Grass-roots and centralized initiatives such as the International Neuroimaging Data-Sharing Initiative, The Human Connectome Project, The Preprocessed Connectomes Project, and OpenFMRI are amassing and sharing raw and preprocessed neuroimaging data. These Open Science initiatives combined with the plethora of free software tools for performing analysis, has made tools and data necessary to perform neuroimaging analysis accessible to everyone. This 30 minute lecture will provide a survey of these various resources.
Resources: list of open science data repositories and tools, slides
Lab #3: Preprocessing fMRI data using CPAC
Tuesday, July 29
Instructor: Cameron Craddock
Objective: The Configurable Pipeline for the Analysis of Connectomes (CPAC) is an open-source toolkit for preforming connectomes preprocessing and analyses on fMRI data. CPAC is written in Python using the Nipype pipelining library, and integrates tools from several different neuroimaging software packages (AFNI, ANTs, and FSL). The object of CPAC is to enable neuroimaging researchers who lack programming skills to perform state-of-the-art preprocessing and analyses on vary large datasets using high-performance computer resources in an infrastructure. This 30-minute tutorial will provide a overview of preprocessing data with CPAC, and evaluating the quality of the results.
Resources: CPAC website
Lab #4: Mapping functional connectome from fMRI
Tuesday, July 29
Instructor: Caroline Froehlich
Objective: This 30-minute tutorial will illustrate the construction of connectome graphs from preprocessed fMRI datasets using Python, and Nipy, and visualize the results as both graphs and connectivity matrices.
Resources: Nipy webpage, Python Notebook
Lab #5: Mapping structural connectomes from dMRI
Wednesday, July 30
Instructor: Guilherme Peixoto
Objective: This hour long tutorial will demonstrate the generation of structural connectomes from preprocessing the raw data and estimating orientation distribution functions, through to fiber tracking and generating connectivity graphs.
Resources: Tortoise website, TrackVis website, UCLA Multimodal Connectivity Package
Lab #6: Calculating graph statistics
Thrusday, July 31
Instructor: Nathassia Aurich
Objective: This 30-minute long tutorial will demonstrate the calculation of graph invariants from structural and functional graphs using the Brain Connectivity Toolbox website and Matlab.
Resources: Brain Connectivity Toolbox website


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Lorem ipsum dolor sit, amet consectetur adipisicing elit. Provident hic ipsum consequuntur labore sint natus molestias illo temporibus consequatur eveniet. Saepe excepturi adipisci nesciunt modi quo. Sit, ratione tempore. Soluta?
Lorem ipsum dolor sit, amet consectetur adipisicing elit. Provident hic ipsum consequuntur labore sint natus molestias illo temporibus consequatur eveniet. Saepe excepturi adipisci nesciunt modi quo. Sit, ratione tempore. Soluta?
Lorem ipsum dolor sit amet consectetur adipisicing elit. Dolor exercitationem sed sapiente, modi accusamus illum molestiae inventore, temporibus voluptates hic fugiat! Assumenda enim quia corporis, deleniti maxime eveniet voluptatibus. Quos.
Bar beans americano seasonal, aged strong redeye cream grounds. Java, french press wings, iced doppio foam java breve mazagran. Redeye chicory froth wings brewed robusta cappuccino. Coffee mocha, whipped blue mountain mug instant grounds as spoon. Robust ut robusta java, wings macchiato affogato saucer milk. Seasonal cappuccino, in saucer, cream plunger pot aromatic turkish crema. Galão mazagran est single origin froth ut aged. A siphon caffeine aftertaste single shot caffeine robusta.
 Annoy the old grumpy cat,
The path of the righteous man is beset on all sides by the iniquities of the selfish and the tyranny of evil men. Blessed is he who, in the name of charity and good will, shepherds the weak through the valley of darkness, for he is truly his brother's keeper and the finder of lost children.


keyboard_arrow_right
keyboard_arrow_left
Personal Art
Practicing an art, no matter how well or badly, is a way
to make your soul grow, for heaven's sake.
-Kurt Vonnegut
to make your soul grow, for heaven's sake.
I started sketching and taking photographs in high school, always with a focus on capturing the thoughts that kept me up at night.
My supportive art teacher encouraged me to study my hobby in college where I experimented with lots of different mediums.
Drawing
I'm always sketching something, usually in my moleskine or on a sticky note.
3D Art
I studied 3D modeling, texturing, and animation using Maya and Zbrush.
Photography
I was fortunate to study both analog and digital photography at Herron School of Art.


Data Using
Facial Recognition consumes image from from image, video or real person. The image that is consumed, an algorithm reads the geometer of face such as forehead, chin, nose, distance of eyes. The algorithm identifies facial landmarks — the system identifies 68 of them — that are key to distinguishing your face. The geometry form the image compares with database faces geometry. The algorithm determine and shows the match it found.
Privacy Concern
A privacy concern is that to increase the accuracy of facial recognition companies collect customers data. Customers do not have access to thiers data and don’t know what companies could used it for. For instance Amazon launches grocery store that doesn't use human cashier. Everything is done using facial recognition. Amazon can use customers data to sale products.


Stay up to date with your activity updates from Fitbit® device on your Google Glass. You will be notified when you have reached your daily goal. You can choose to receive hourly progress updates towards your goal.
Fitbit is a registered trademark and service mark of Fitbit, Inc. M-Distance is designed for use with the Fitbit platform. This product is not put out by Fitbit, and Fitbit does not service or warrant the functionality of this product.


Auburn CSO is the largest student group at Auburn University and is one of the most influential Chinese student groups in U.S. Auburn CSO is dedicated to the goal of promoting social, intellectual and cultural activities for Chinese students and scholars at Auburn University and for other interested members of Auburn community.
Learn MoreFor now, please register with your tigermail
BBS entranceWelcome joining in our mailing list. Right now it has thousands of subscribers. You can put your tiger email or other school email on this google document, I will add you to the list later.
Learn More


Voter
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Build your own agenda - talk about topics that interest you and that will help you move forward and achieve your goals in 2018!
We start the day off with a combo of Imposter Syndrome workshop and inspirational talk, setting the stage for all of you to realize you have something to share, your voice counts and is heard, and you can actively participate in the upcoming group get-togethers. This is followed by a pure 'Unconference' part, where you will build your own agenda and create topic-based discussion groups.
 If you answered "yes", you have experienced the Impostor Syndrome. During this workshop, we'll take some time to understand the Impostor Syndrome, analyze how it has affected you in the past and device some strategies to overcome it, or better yet, leverage it for the better in the future.
Shruti has worked in the capacity of software engineer, engineering lead and engineering manager over period of ten years in the software industry. She has a bachelors and masters degree in Computer Engineering and has worked at various companies including Microsoft and Amazon. Along with finding the most efficient engineering approaches, she has always enjoyed mentoring and leading junior engineers on the team. She currently works as the CS Fundamentals' Instructor at Ada Developers Academy.
18 days to create a community - Join this inspirational talk that depicts how you can create reality out of a distant vision.
As a connection engineer, Melody is a master of designing alliances. She believes that relationships are most important in our lives and that unlikely mashups create new perspectives and opportunities. She has built an international ecosystem of sisterhood. The founder and producer of the WiT Regatta: a week-long conference in Seattle, Vancouver and Amsterdam, she brings people together to advance women in STEM and Tech. You can follow Melody on Instagram @MelodyBiringer.


A Detail Page
include "pieces/layout/breadcrumbs.html"
Introduction
Each year, the senior class selects one of its members to deliver a five-minute speech just before diplomas are awarded at the Commencement ceremony. The videos below were submitted by students interested in being your 2018 Senior Class Speaker.
After you review all of the videos below, please return to the "Senior Speaker Survey" to cast your vote. You will only be allowed to make one selection.


--- layout: post title: Test execution order - JUnit 4.X date: 2014-02-17 14:15:57.000000000 +00:00 type: post published: true status: publish categories: [] tags: [] meta: _wpcom_is_markdown: '1' _edit_last: '36016338' _publicize_pending: '1' author: login: velmuruganv email<EMAIL_ADDRESS>display_name: velmuruganv first_name: '' last_name: '' ---
I want to execute test methods which are annotated by @Test in specific order.
For example:
[code lang="java"]
public class MyTest{
@Test public void create(){System.out.println("create");}
@Test public void update(){System.out.println("update");}
@Test public void delete(){System.out.println("delete");}
}
[/code]
I want to ensure to run create() before update() and updatebefore delete each time I run MyTest.
The test execution order i would like to get is,
By design, JUnit does not specify the execution order of test method invocations. Until now, the methods were simply invoked in the order returned by the reflection API. However, using the JVM order is unwise since the Java platform does not specify any particular order, and in fact JDK 7 returns a more or less random order. Of course, well-written test code would not assume any order, but some does, and a predictable failure is better than a random failure on certain platforms.
From version 4.11, JUnit will by default use a deterministic, but not predictable, order (MethodSorters.DEFAULT). To change the test execution order simply annotate your test class using @FixMethodOrder and specify one of the available MethodSorters:
@FixMethodOrder(MethodSorters.JVM): Leaves the test methods in the order returned by the JVM. This order may vary from run to run.
@FixMethodOrder(MethodSorters.NAME_ASCENDING): Sorts the test methods by method name, in lexicographic order.
[code lang="java"]
package com.vel.qa.tests.detailedtests;
import org.junit.FixMethodOrder;
import org.junit.Test;
import org.junit.runners.MethodSorters;
@FixMethodOrder(MethodSorters.NAME_ASCENDING)
public class MyTest {
@Test
public void aCreate() {
System.out.println("create");
}
@Test
public void bUpdate() {
System.out.println("update");
}
@Test
public void cDelete() {
System.out.println("delete");
}
}
[/code]
This would produce the output as i wanted.


Answer our 5 question survey to find which programing language is best for you.
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An algorithm is a self-contained series of instructions to perform a function.
In other words, an algorithm is a means of describing a way to solve a problem so that it can be solved repeatedly, by humans or machines. Computer scientists compare the efficiency of algorithms through the concept of "Algorithmic Complexity" or "Big O" notation.
For example:
- A cooking recipe is a simple algorithm for humans.
- A sorting algorithm is often used in computer programming to explain a machine how to sort data.
Common algorithms are Pathfinding algorithms such as the Traveling Salesman Problem, Tree Traversal algorithms and so on.

Learn more
General knowledge
- Algorithm on Wikipedia


The Chicago Board Options Exchange (CBOE) provides daily exports of their most popular volatility indices. QuantConnect caches this data for easy deployment in your algorithms. You can learn more about CBOE data in the Alternative Data documentation.
The VIX is a volatility index which is derived from the bid-ask spread of S&P 500 index options. It provides a measure of overall market risk and investor sentiment. The VIX's value rises when markets are unsteady and volatile, and falls when volatility recedes.
Let's analyze how the market behaves during volatile times by comparing the VIX with SPY. We can subcribe to VIX data using qb.AddData(CBOE, "VIX")
.
# We must import any custom data that we want to use from QuantConnect.Data.Custom.CBOE import * # Add CBOE VIX data. vix = self.AddData(CBOE, "VIX") # Add SPY to see how the market is during volatile periods spy = self.AddEquity("SPY", Resolution.Daily)
History calls for alternative data sources are similar to history calls for price data. We can use either qb.History(Type, Symbol, StartDate, EndDate)
, where Type is the data type, Symbol is the symbol for which to retrieve data for, or we can use qb.History(Type, Symbol, Period)
, which returns historical data from the given past period starting from today's date.
# History call for 1000 days of VIX and SPY data vix_history = qb.History(CBOE, vix.Symbol, timedelta(days=1000)) spy_history = qb.History(spy.Symbol, timedelta(days=1000), Resolution.Daily) # drop the Symbol index from multi-index dataframe vix_history = vix_history.reset_index(level=0, drop=True). spy_history = spy_history.reset_index(level=0, drop=True)
To visualize how the spikes in the VIX correlate to in the volatility market, we can plot the daily percent change in the VIX against SPY.
# Chart formatting plt.title('Volatility in Markets') plt.xlabel('Time') plt.ylabel('Returns') # Plot the percent change in daily close values of VIX and SPY vix_history['close'].pct_change().plot(alpha=0.5) # Increase transparency of VIX plot spy_history['close'].pct_change().cumsum().plot()


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Easy Derivative
问题描述 :
You must be very familiar with derivative in math,and I guarantee that you can work out the derivative easily. Generally speaking,the last problem is the most difficult problem only a few can work out. However,it is not the case in this contest designed by Samuel. Give you 1 number n,and 2 extra numbers a and b you can work this problem out. For example,f(x)=ax^b,the 2 class derivative is f”=a*b*(b-1)x^(b-2),here n means n class. Here all the numbers are integers.
输入:
The input consists 2 parts:
test case number t,each of the test case contains 3 number n(n>=0),a,b(a,b will not be very large),the original one is like the format of f(x)=ax^b.
test case number t,each of the test case contains 3 number n(n>=0),a,b(a,b will not be very large),the original one is like the format of f(x)=ax^b.
输出:
The input consists 2 parts:
test case number t,each of the test case contains 3 number n(n>=0),a,b(a,b will not be very large),the original one is like the format of f(x)=ax^b.
test case number t,each of the test case contains 3 number n(n>=0),a,b(a,b will not be very large),the original one is like the format of f(x)=ax^b.
样例输入:
2 1 2 3 3 4 5
样例输出:
6 240
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为避免精度问题，PI值请使用arccos(-1)。应该是acos
感觉这里的评分标准没啥作用阿，反而显得显得赘余，还不如直接去掉好了。
真心不错，力顶作者
其实就是DFS搜索，数据量较小，穷举了所有情况
很给力啊，学习了
博主的C++功底真是好
红绯鱼：
这模板神了
很好的思路，可以借鉴
为避免精度问题，PI值请使用arccos(-1)。应该是acos
嗯，尽量吧。题目太多了，很多解题报告是用程序自动发布的，所以就只有代码了
书上的解法更巧妙一些，在九度OJ实测的效率差不多
比较基础，找些自信


[§634-26] Form of published notice. The published notice provided for by section 634-23 shall be in the form of a summons, without a caption but referring to the complaint or petition, stating briefly the object of the action or proceeding[,] with a brief description of the property involved, and calling upon the persons to whom it is addressed to plead on or before a return day stated in the notice. [L 1917, c 67, §3; RL 1925, §2347; am L 1929, c 43, §4; RL 1935, §4083; RL 1945, §10065; RL 1955, §230-36; HRS §634-63; am L 1972, c 89, §2A(i); ren HRS §634-26]
Rules of Court
Publication of summons, see HRCP rule 4.


This privacy policy sets out how Omniglot Ltd uses and protects any information that you give Omniglot Ltd when you use this website.
Omniglot Ltd is committed to ensuring that your privacy is protected. Should we ask you to provide certain information by which you can be identified when using this website, then you can be assured that it will only be used in accordance with this privacy statement.
Omniglot Ltd may change this policy from time to time by updating this page. You should check this page from time to time to ensure that you are happy with any changes. This policy is effective from 27th July 2015.
We may collect the following information:
Note: This happens only occasionally, and if you would prefer not be contacted in this way, please let us know.
We are committed to ensuring that your information is secure. In order to prevent unauthorised access or disclosure, we have put in place suitable safeguards to secure the information we collect online.
We will not sell, distribute or lease your personal information to third parties unless we are required by law to do so.
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A cookie is a small text file that a website saves on your computer or mobile device when you visit the site. It enables the website to remember your actions and preferences (such as login, language, font size and other display preferences) over a period of time, so you don't have to keep re-entering them whenever you come back to the site or browse from one page to another.
No cookies are used by Omniglot Ltd, however they are used by some of the affiliate advertisers on this site, and by Google Adsense. Such cookies store data about when you visit their sites, what you look at and what, if anything you buy there. With this data affiliates know how much commission to pay to Omniglot, which helps support this site and its creator.
You can control and/or delete cookies as you wish - for details, see aboutcookies.org. You can delete all cookies that are already on your computer and you can set most browsers to prevent them from being placed. If you do this, however, you may have to manually adjust some preferences every time you visit a site and some services and functionalities may not work.
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We use Google AdSense Advertising on this website.
Google, as a third party vendor, uses cookies to serve ads on our site. Google's use of the DART cookie enables it to serve ads to our users based on their visit to our site and other sites on the Internet. Users may opt out of the use of the DART cookie by visiting the Google ad and content network privacy policy.
Third-party vendors, such as Google, use first-party cookies (such as the Google Analytics cookies) and third-party cookies (such as the DoubleClick cookie) or other third-party identifiers together to compile data regarding user interactions with ad impressions, and other ad service functions as they relate to our website.
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More information about How Google uses data when you use this site
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Last Edited on 27th July 2015


greta relies on, and was inspired by some pretty incredible pieces of software which deserve recognition.
greta wouldn’t be possible without TensorFlow, Googles computation engine for large-scale machine learning. TensorFlow runs all of greta’s calculations, enables distributed computations on multi-core and GPU systems, and carries out automatic differentiation efficiently, enabling greta to use efficient inference algorithms like Hamiltonian Monte Carlo.
TensorFlow is implemented in C++ and Python. RStudio’s reticulate and tensorflow packages provide the magic that bring TensorFlow and all things python to R. Under the hood, greta also uses Winston Chang’s R6 object system, and greta’s model plotting functionality is made possible by DiagrammeR.
The design and scope of greta was inspired by other general-purpose MCMC software like BUGS and JAGS that have enabled researchers to focus on modelling, rather than writing code. Stan’s approach of using automatic differentiation to enable efficient MCMC was a particularly big influence on greta, and the quality and quantity of Stan’s documentation and examples are something greta aspires to.
The python package Edward also uses TensorFlow as a backend for general-purpose statistical modelling, in a very elegant and pythonic way. GPflow uses a similar approach for the more specialised area of Gaussian process modelling, and was a strong influence on how greta is implemented.


CHAPTER 342D
WATER POLLUTION
Part I. Definitions and General Provisions
Section
342D-1 Definitions
342D-2 Administration
342D-3 Board membership
342D-4 Duties; rules
342D-5 Rules; specific
342D-6 Permits; procedures for
342D-6.5 Hawaiian loko ia
342D-7 Variances
342D-8 Inspection of premises
342D-9 Enforcement
342D-10 Emergency powers; procedures
342D-11 Injunctive and other relief
342D-12 Appeal
342D-13 Fees
342D-14 Public records; confidential information; penalties
342D-15 Nonliability of department personnel
342D-16 Remedies preserved
342D-17 Enforcement by state and county authorities
342D-18 Other powers of department not affected
342D-19 Effect of laws, ordinances, and rules
342D-20 Priority in courts
Part II. Penalties
342D-30 Civil penalties
342D-31 Administrative penalties
342D-32 Negligent violations
342D-33 Knowing violations
342D-34 Knowing endangerment
342D-35 False statements
342D-36 Treatment of single operational upset
342D-37 Responsible corporate officer as "person"
342D-38 Hazardous substance defined
342D-39 Disposition of collected fines and penalties
Part III. Water Pollution Control
342D-50 Prohibition
342D-50.5 Treated or raw sewage; prohibition
342D-51 Affirmative duty to report discharges
342D-52 Testing of water and aquatic and other life
342D-53 Certifying agency
342D-54 Wastewater treatment works; financial assistance;
grants
342D-55 Recordkeeping and monitoring requirements
342D-56 Complaints; hearings; appointment of masters
342D-57 Public participation activities; appointment of
hearings officers
342D-58 Consultation and advice
342D-59 Research, educational, and training programs
342D-60 Annual reports
342D-61 Household aerobic unit approval
Part IV. Miscellaneous Provisions
342D-70 Use of gray water for irrigation purposes
342D-71 Recycled water use
342D-72 Cesspools; mandatory upgrade, conversion, or connection
Part V. Water Pollution Control Financing
342D-80 Definitions
342D-81 Declaration of policy
342D-82 Powers and duties
342D-82.5 Use of American Recovery and Reinvestment Act of 2009
and other federal moneys
342D-83 Revolving fund; establishment, purposes, coordination
342D-84 Revolving fund; uses
342D-85 Revolving fund; deposits
342D-86 Revolving fund; fees, interest, and investment on
accounts
342D-87 Revolving fund; conditions
342D-88 Revenue bonds; authorization
342D-89 Revenue bonds; payment and security
342D-90 Revenue bonds; amount issued
342D-91 Revenue bonds; investment of proceeds, and redemption
342D-92 Trustee; designation; duties
342D-93 Trust indenture
Part VI. Discharges from Commercial Passenger Vessels
342D-101 Definitions
342D-102 Prohibited discharges; limitations on discharges
342D-103 Prohibited air emissions
342D-104 Information-gathering requirements
342D-105 Recordkeeping requirements
342D-106 Reporting requirements
342D-107 Memorandum of understanding; recognition program
342D-108 Exemption for vessels in innocent passage
342D-109 Activities of the department
342D-110 Fine schedules for illegal discharges
342D-111 Alternative terms and conditions of vessel discharges
Note
Department of transportation's bridge rehabilitation and replacement program; temporary exemption from certain construction requirements of this chapter through June 30, 2022, or until completion. L 2012, c 218; L 2017, c 48.
Investigation of cesspools that require upgrade, conversion, or connection; grant program feasibility; report to 2018 legislature. L 2017, c 125, §3.
Total maximum daily load coordinator positions. L 2009, c 98, §6.
Cross References
Environmental courts, jurisdiction over proceedings arising under this chapter, see §604A-2.
Nonpoint source pollution management and control, see chapter 342E.
Law Journals and Reviews
Liability Insurance Coverage for Pollution Claims. 12 UH L. Rev. 83.
Enforcement of Environmental Laws in Hawaii. 16 UH L. Rev. 85.
Ala Loop and the Private Right of Action Under Hawaii Constitution Article XI, Section 9: Charting a Path Toward a Cohesive Enforcement Scheme. 33 UH L. Rev. 367 (2010).
Case Notes
Department of health's (DOH) duties under the public trust doctrine requires the DOH to not only issue permits after prescribed measures appear to be in compliance with state regulation, but also to ensure that the prescribed measures are actually being implemented after a thorough assessment of the possible adverse impacts the development would have on the State's natural resources; this duty is consistent with the constitutional mandate under article XI, §1 of the Hawaii constitution and the duties imposed upon the DOH by this chapter and chapter 342E. 111 H. 205, 140 P.3d 985.


Top Story
Loeffler Dodges Question on Election Rigging as Ossoff Debates Empty Room
Get better soon Rudy, we will carry on!!!" President Trump wrote in a tweet Sunday.
17° Sampatchak,IN >
Wed, Dec 09, 2020
Top Story
Get better soon Rudy, we will carry on!!!" President Trump wrote in a tweet Sunday.
FEATURED STORIES
Get better soon Rudy, we will carry on!!!" President Trump wrote in a tweet Sunday.
Get better soon Rudy, we will carry on!!!" President Trump wrote in a tweet Sunday.
Get better soon Rudy, we will carry on!!!" President Trump wrote in a tweet Sunday.
Get better soon Rudy, we will carry on!!!" President Trump wrote in a tweet Sunday.
Get better soon Rudy, we will carry on!!!" President Trump wrote in a tweet Sunday.
Debate
Opinion
Get better soon Rudy, we will carry on!!!" President Trump wrote in a tweet Sunday.
Get better soon Rudy, we will carry on!!!" President Trump wrote in a tweet Sunday.
Get better soon Rudy, we will carry on!!!" President Trump wrote in a tweet Sunday.
Get better soon Rudy, we will carry on!!!" President Trump wrote in a tweet Sunday.
Get better soon Rudy, we will carry on!!!" President Trump wrote in a tweet Sunday.
Get better soon Rudy, we will carry on!!!" President Trump wrote in a tweet Sunday.
Get better soon Rudy, we will carry on!!!" President Trump wrote in a tweet Sunday.
Get better soon Rudy, we will carry on!!!" President Trump wrote in a tweet Sunday.
My Turn
'I'm 23, I Had a Mini Stroke Days After Contracting COVID'
'I'm 23, I Had a Mini Stroke Days After Contracting COVID'
'I'm 23, I Had a Mini Stroke Days After Contracting COVID'
Culture & Travel
'I'm 23, I Had a Mini Stroke Days After Contracting COVID'
'I'm 23, I Had a Mini Stroke Days After Contracting COVID'
'I'm 23, I Had a Mini Stroke Days After Contracting COVID'
Get better soon Rudy, we will carry on!!!" President Trump wrote in a tweet Sunday.
Get better soon Rudy, we will carry on!!!" President Trump wrote in a tweet Sunday.
Get better soon Rudy, we will carry on!!!" President Trump wrote in a tweet Sunday.
Get better soon Rudy, we will carry on!!!" President Trump wrote in a tweet Sunday.
Get better soon Rudy, we will carry on!!!" President Trump wrote in a tweet Sunday.
Get better soon Rudy, we will carry on!!!" President Trump wrote in a tweet Sunday.
Get better soon Rudy, we will carry on!!!" President Trump wrote in a tweet Sunday.
Get better soon Rudy, we will carry on!!!" President Trump wrote in a tweet Sunday.
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Get better soon Rudy, we will carry on!!!" President Trump wrote in a tweet Sunday.
Get better soon Rudy, we will carry on!!!" President Trump wrote in a tweet Sunday.
Get better soon Rudy, we will carry on!!!" President Trump wrote in a tweet Sunday.
Get better soon Rudy, we will carry on!!!" President Trump wrote in a tweet Sunday.
Get better soon Rudy, we will carry on!!!" President Trump wrote in a tweet Sunday.
Get better soon Rudy, we will carry on!!!" President Trump wrote in a tweet Sunday.
Get better soon Rudy, we will carry on!!!" President Trump wrote in a tweet Sunday.
Get better soon Rudy, we will carry on!!!" President Trump wrote in a tweet Sunday.
Get better soon Rudy, we will carry on!!!" President Trump wrote in a tweet Sunday.
Get better soon Rudy, we will carry on!!!" President Trump wrote in a tweet Sunday.
Get better soon Rudy, we will carry on!!!" President Trump wrote in a tweet Sunday.
Get better soon Rudy, we will carry on!!!" President Trump wrote in a tweet Sunday.
Get better soon Rudy, we will carry on!!!" President Trump wrote in a tweet Sunday.
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Get better soon Rudy, we will carry on!!!" President Trump wrote in a tweet Sunday.
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Get better soon Rudy, we will carry on!!!" President Trump wrote in a tweet Sunday.
Get better soon Rudy, we will carry on!!!" President Trump wrote in a tweet Sunday.
Get better soon Rudy, we will carry on!!!" President Trump wrote in a tweet Sunday.
Get better soon Rudy, we will carry on!!!" President Trump wrote in a tweet Sunday.
Get better soon Rudy, we will carry on!!!" President Trump wrote in a tweet Sunday.
Get better soon Rudy, we will carry on!!!" President Trump wrote in a tweet Sunday.
Get better soon Rudy, we will carry on!!!" President Trump wrote in a tweet Sunday.
Get better soon Rudy, we will carry on!!!" President Trump wrote in a tweet Sunday.
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Get better soon Rudy, we will carry on!!!" President Trump wrote in a tweet Sunday.
Get better soon Rudy, we will carry on!!!" President Trump wrote in a tweet Sunday.
Get better soon Rudy, we will carry on!!!" President Trump wrote in a tweet Sunday.
Get better soon Rudy, we will carry on!!!" President Trump wrote in a tweet Sunday.
Get better soon Rudy, we will carry on!!!" President Trump wrote in a tweet Sunday.
Get better soon Rudy, we will carry on!!!" President Trump wrote in a tweet Sunday.
Get better soon Rudy, we will carry on!!!" President Trump wrote in a tweet Sunday.
Get better soon Rudy, we will carry on!!!" President Trump wrote in a tweet Sunday.
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Ford ruffled the feathers of many this week when it unveiled the Mustang Mach-E, the company’s all-electric, four-door crossover. To many, the model is underserving of the iconic Mustang nameplate regardless of the tri-bar taillights and pony badge. The debate has raged online and off, as Mustang fans reconcile with the new Mustang model. Yesterday, Mustang Club of America President Steve Prewitt took to the club’s Facebook page to endorse the Mach-E while quelling fears about the future of the iconic two-door pony car.
The Mustang Mach-E Is Making Waves:
Prewitt said Ford did “an astounding job in checking all the requisite items,” offering “an impressive portfolio of performance specifications.” Prewitt also said the Mach-E was the next step in the continuation of the nameplate’s legacy, likening it to a new addition to the Mustang family like the Boss 302, Mustang II, or the Fox Body. He also understands Mustang fans, adding that many will never accept the Mach-E.
And Ford’s doing all it can to make the Mach-E feel like a Mustang. The exterior design borrows has the right Mustang styling cues, created sheetmetal, and athletic styling. Underneath, Ford offers a range of performance specifications including the 459-horsepower (342-kilowatt) Mach-E GT that can hit 60 miles per hour in about 3.5 seconds. The Mach-E will offer 210-300 miles of range depending on trim, powertrain, and drive type configuration.
Gallery: 2020 Ford Mustang Mach-E
Ford has its eyes on the future, and the future is electric. The automaker was considering developing a boring compliance car that lacked personality. Putting the Mustang name on the EV forced Ford to create an EV that meant something. The Mustang name choice will be endlessly debated even after the model enters public hands. Will Mustang fans embrace the brand’s expansion into four-door family vehicles? Only time will tell.


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JavaScript
An object-oriented computer programming language commonly used to create interactive effects within web browsers.