Green Belly
Time is flying fast! Guess that's part of the downfall of getting older but I'm doing my best to keep on top of it and I'd say I'm doing better than I've ever done. That's not why you're here though, is it? You want to know "WHAT DID YOU DO FOR HALLOWEEN!?
Well, Lindsay said she'd rather go to Emily than Speedy Romeo. So I trained it over to Clinton and Fulton to hit up Emily and see what all the hubbub was about. Tiny, narrow place with lots of delicious aromas and eclectic playlist action. Great bartender (one of the best Negronis I've EVER tasted) and super friendly staff all over the joint.  Lindsay and I shared a caesar and the Colony, which is a pepperoni pizza with pickled jalapeńos and a drizzle of honey. The combo sweet and spicy put Emily into the top contender for "Best Pizza Yet" award here in Brooklyn. Which is not to be confused with "Best Pizza Ever" award which knows no geographical boundary and will probably never be awarded. Although Stellar is leading at the moment.
Headed into Manhattan to do some temp work for a company an old friend hooked me up with. Yeah, I'm pulling the Melanie Griffith "Working Girl" right now but sans EPIC curly blonde hair and late 80's business causal skirts. Spent the afternoon cold-calling potential clients to convince them to particiapte in a research project. Which OF COURSE made every call an exercise in trying to convince the party that I wasn't trying to scam or sell them anything. I'm the oldest guy in the group but probably the most confident (EGO!!). Regardless, made some great connections and had an EPIC view of Manhattan from the offices on the 43rd floor. Scroll back to the top if you need a reminder. I'll be doing that tomorrow, Friday, and again on Monday. It's peanuts compared to what I need to make in order to survive, but at least its coming.
Its getting dark early, as it is everywhere. Which means my runs are either going to have to be SUPER early or weekends exclusive. At least for the next few days. I don't think I'm quite ready to run around Prospect in the dark.
TL;DR
Do or Do Not. There is no try.
 He wants to figure how to do it right, oh yeah.” — Ty Segall


JEEPERS CREEPERS RATING: 6/10
For more reviews and movie trailers, visit http://www.joblo.com/
PLOT: A brother and sister driving home through the countryside witness a man throwing wrapped-up bodies down a chute. The two decide to go back and look into the matter (don't ask!) and fall into a heap o' trouble. You bet!
CRITIQUE: A definite step in the right direction in respect to the horror genre in films today, but not without its own set of pitfalls. I really dug the first half of this film. It was creepy, it was methodically paced yet filled with tension, it reminded me of films like DUEL and THE TEXAS CHAINSAW MASSACRE and it placed the audience into realistic situations with some damn scary thoughts. Unfortunately, the second half of the film fell into the same ol' contrivances that have plagued horror films from the beginning. We get the leads running out of gas, having trouble starting their car, cops not believing their story, folks standing around watching scary stuff go down when they should be running and basically a lot of goofy decision-making on the part of the protagonists. And to top it all off, they actually thought that it might be a good idea to toss a psychic into the second half...that's right, you heard me correctly, a psychic! Ugh. I hate when screenwriters take the "easy way" out and slap an all-knowing character into these films, a person who comes into the story to explain the entire thing to the audience and give the leads advice on what to do next and tell us what is happening (don't you think we're a little smarter than that?). This film didn't need that type of character, as its premise alone was a very credible and scary one.
 Scary shit, right? Well, this film does an excellent job of building up all of that tension early on and keeping the "bad guy" hidden for the first half of the movie. You wonder what is going on, you root for the two kids because you appreciate what they might be going through. Credit director Salva for creating that extra-special strain in the film with some interesting directing choices and an excellent score for even more creeps. It's too bad that the second half of the film just doesn't pan out as well as you might hope. I tend to lose interest in lead characters whenever they start doing stupidities in horror flicks, like standing around watching when they should be turning around and running! But there were also a couple of small plot holes that bothered me here as well, like why the "bad guy" felt the need to play songs when whacking out his victims (or making correlations to them) or why he had a namesake license plate? I mean...did I miss something here?
But overall, the film was definitely a nice change of pace from all of the teen slasher garbage that we've been getting of late, and I certainly appreciated its "old school" mentality (no MTV soundtrack in sight!). So I would still recommend that you check this movie out, just to see what will hopefully be the continuation of more creepy, tension-filled horror movies (SESSION 9, THE OTHERS, GINGER SNAPS). Oh yeah, and the final shot of this film is one that I will remember forever. Brrrrrrrr...thank you Salva, for not going "Hollywood" on us in the very end.
Where's JoBlo coming from? The Blair Witch Project (4/10) - The Fly (8/10) - Ginger Snaps (8/10) - I Know What You Did Last Summer (7/10) - I Still Know What You Did Last Summer (4/10) - Urban Legend (4/10) - Urban Legends (3/10) - Valentine (3/10)
Review Date: July 29, 2001 Director: Victor Salva Writer: Victor Salva Producers: Tom Lusse and Barry Opper Actors: Justin Long as Darryl Gina Phillips as Trish Eileen Brennan as Jezelle Genre: Horror Year of Release: 2001 ------------------------------------ JoBlo's Movie Emporium http://www.joblo.com/ ------------------------------------ (c) 2001 Berge Garabedian
========== X-RAMR-ID: 29204 X-Language: en X-RT-ReviewID: 244117 X-RT-TitleID: 1109558 X-RT-SourceID: 573 X-RT-AuthorID: 1021 X-RT-RatingText: 6/10
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


V 2.1 ERC1400ERC20 CERTIFICATE PANEL GENERATOR
FireFox Recommended
ERC1400ERC20 CERT PANEL
User Address:
Destination contract Address:
Expiration time (Epoch format):
Function to call:


|
Total No. of calls - 200 |
Total No. of calls - 210 |
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Total No. of calls - 201 |
Total No. of calls - 190 |
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Total No. of calls - 140 |
Total No. of calls - 55 |
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Total No. of calls - 130 |


#include <BtServiceListContainer.h>
Public Member Functions | |||||||
| void | ConstructL (const TRect &aRect) | ||||||
| Second level constructor for CBTServiceListContainer class. | |||||||
| void | AddItemToList (TUint aServicePort, TUint16 *aServiceName) | ||||||
| Add an item to the list. | |||||||
Static Public Member Functions | |||||||
CBTServiceListContainer class first level constructors | |||||||
These methods create an object of CBTServiceListContainer class and initializes some class variables.
| |||||||
| static CBTServiceListContainer * | NewL (RFileLogger *aLog, CCodeListener *aCodeListener) | ||||||
| static CBTServiceListContainer * | NewLC (RFileLogger *aLog, CCodeListener *aCodeListener) | ||||||
Private Member Functions | |||||||
| CBTServiceListContainer (RFileLogger *aLog, CCodeListener *aCodeListener) | |||||||
| CBTServiceListContainer class constructor. | |||||||
| TInt | CountComponentControls () const | ||||||
| Returns the number of component in the container. | |||||||
| CCoeControl * | ComponentControl (TInt aIndex) const | ||||||
| Returns the pointer to a component inside the container. | |||||||
| void | Draw (const TRect &aRect) const | ||||||
| Draws the container. | |||||||
| void | SizeChanged () | ||||||
| Resizes the components inside the container. | |||||||
| void | SetupScrollBarsL () | ||||||
| Sets up scroll bars for the list. | |||||||
| TKeyResponse | OfferKeyEventL (const TKeyEvent &aKeyEvent, TEventCode aType) | ||||||
| Forwards the key pressed on the container to the list. | |||||||
| void | HandleListBoxEventL (CEikListBox *, TListBoxEvent aListBoxEvent) | ||||||
| Handles the events generated by the listbox. |
This class is a container UI which is displayed when discovery of serial port services is under process. This class contains a list of all the BT serial port services and allows user to select a service to connect to.
|
|
CBTServiceListContainer class constructor. The constructor initializes some class variables with parameters passed.
|
|
|
Add an item to the list. This method adds an item to the list. The item in this case is the port number and port name of a bluetooth service.
|
|
|
Returns the pointer to a component inside the container. This method returns a to pointer to the component inside the container.
|
|
|
Second level constructor for CBTServiceListContainer class. This method initializes the container by contructing a list of port number and names. It also constructs a label.
|
|
|
Returns the number of component in the container. This method returns the number of component in the container.
|
|
|
Draws the container. This method Draws the container on the screen with the white background.
|
|
|
Handles the events generated by the listbox. This method handles all the events generated by the listbox. In this case it gets the item that user selected from the list, gets the number part from that item and passes the number to the CCodeListener object as the port number to connect to.
|
|
|
Forwards the key pressed on the container to the list. This method forwards all the key presses by the user while on the container to the list.
|
|
|
Sets up scroll bars for the list. This method is sets up scroll bars for the list. |
|
|
Resizes the components inside the container. This method is called when the size of the container changes. It adjusts the size of the components inside the container. |


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s6-linux-utils
Software
skarnet.org
The rngseed program
rngseed manipulates the Linux kernel's entropy pool. It can seed
the kernel's random number generator from a file, save a new seed into a
file, wait until the entropy pool is full, and so on. Please read the
options list carefully in order to use it in a secure way.
rngseed can only be run as root.
Interface
rngseed [ -r | -R ] [ -N | -n ] [ -w | -W ] [ -d dir ] [ -v verbosity ]
The behaviour of rngseed depends on what options it is given. By default, it
just waits until the entropy pool is full, then exits 0.
Options
Configuration options
- -v verbosity : be more or less verbose.
Default is 1, meaning rngseed will print warning and error
messages. 0 will make it only print error messages, not warnings.
2 or more will make it add informational messages.
- -d dir : use dir as the
directory where the seed file is located (for reading as well as writing).
dir must be located on a writable, permanent filesystem.
Default is /var/lib/rngseed.
Behaviour options
- -r : read from a seed file. rngseed will attempt to read
some bits from dir/seed and seed the kernel's RNG with the data.
dir must be on a writable filesystem, because the seed file will be unlinked
(the same data must not be used to seed the RNG twice). rngseed -r is
typically used at boot time, in init scripts, right after mounting the
filesystem where the seed has been saved.
- -R : read from a seed file, ignoring creditability.
Behaves like -r, but will not increase the entropy count of the
kernel RNG even if the seed file is marked as creditable.
- -w : write to a seed file. rngseed will save some
random bits into dir/seed, marking the seed as creditable if the
RNG's entropy pool is fully initialized. rngseed -w is typically used at
shutdown time, right before unmounting filesystems; the point is to store
a seed on disk so it can be reused on next boot by rngseed -r.
- -W : write to a seed file, without registering
creditability. Behaves like -w, but does not mark the new seed
file as creditable.
- -N : block. After reading a seed file if required,
and before writing a new seed file if required, rngseed will wait until the
entropy pool is ready. This ensures that future readings of the kernel
RNG will be cryptographically secure, and that new seed files will be
creditable. This is the default.
- -n : do not block. Immediately proceed even if the entropy
pool is not ready. This may make a new seed file non-creditable.
Creditability
A seed is said to be creditable if it has been obtained through a
cryptographically secure RNG. This means it is safe from replay attacks, and
safe to use to count towards the entropy pool when seeding the kernel RNG.
rngseed -w will normally always create a creditable seed file,
especially if used at shutdown time: by then, the kernel's entropy pool
should have been initialized for a while.
An uncreditable seed can be used to add to the random pool, but
should not increment the entropy count, because it is not safe from
replay attacks. rngseed -r will do the right thing if the seed
it reads is uncreditable.
rngseed uses the seed file's permissions to mark creditability.
An uncreditable seed has rights 0600; a creditable seed has rights 0400.
Exit codes
- 0: success
- 100: wrong usage
- 111: system call failure
Notes
- rngseed -N replaces the old s6-fillurandompool program,
that only waited for the entropy pool to get ready, but did not include any
seed file management.
- The options are named r and w from the seed file's
point of view.
rngseed -r reads from the file (and unlinks it) and writes to the kernel
RNG. rngseed -w reads from the kernel RNG and writes to the file.
- rngseed is inspired by Jason Donenfeld's
seedrng program. It is,
however, an independent implementation of the same concept.


This is html text and not an image.
Here's some non-ascii text: Gérard Depardieum, Camille Saint-Saëns and Mylène Demongeot


Component
Input properties
- type - specifies the shape of a skeleton,
'rectangle' | 'circle' | 'text'
- textLines - specifies the number of lines, default is 3
- width - specifies the width of the skeleton, string
- height - specifies the height of the skeleton, string
- animation - specifies whether the skeleton is animated, boolean, default is true
Complex templates
It's possible to define complex loading templates by yourself. You can project any SVG elements in Skeleton
component, colors and animation will be applied automatically.
Besides this, we provide predefined loading templates for components that most likely would need it, please see
components docs.


 Well, let's have them!
"Here are 10 Artisan's Frames and 10 Oriharukons."


Boards for Trello
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teaching & mentorship
These are some of my highlighted teaching experiences!
Instructor
Lafayette CS 205—Software Engineering
- Spring 2020
Lafayette CS 105—Digital Media Computing
- Spring 2020
- Fall 2019
Lafayette CS 413—Human-Computer Interaction
- Fall 2019
NCSU CSC 226—Discrete Mathematics
Course Materials
Student Evaluations:
4.8 / 5 (Department Average: 4.0 / 5)
- “Mr. Smith was very excited about the material and was always in a good mood.”
- “He very clearly explains difficult concepts and makes an effort to explain things in different ways for students who are having trouble understanding.”
- “Excellent teacher, clearly invested and interested in the subject itself”
- “He explains the concepts in intuitive terms. If a student doesn’t understand a concept he will approach it from a different angle rather than just repeating the notes. He also interacts with the class at all times, keeping the class engaging.”
Guest Lecturer
NCSU CSC 710—Software Engineering as a Human Activity
Study Methods: Interviews and Surveys
- Reading: A Process for Surviving Survey Design and Sailing Through Survey Deployment
- Reading: Interviews
Code Camps and Community Activities
INTech Code Camp Tech Mentor
- INTech Homepage
- Press: Camp that teaches girls to code, build websites comes to Raleigh for first time (CBS17)


Cyclone preparations begin in New Caledonia on 1 December, and the season lasts until the beginning of May, when it is more humid and warm. It is cool and dry from April to August, when the prevailing SE trades are stronger.
VHF Radio Weather Schedule Ch: 16 - 06.30, 09.30, 15.15 then change to:
CH 23 Ouvea
CH 24 Northern Grande Terre
CH 25 Kafete, Isle of Pines
CH 26 Noumea, Lifu
CH 28 central Grande Terre
CH 82 Isle of Pines
CH 87 Mare
FM Radio (89FM) 05.58, 14.58.
Meteo France Outre-mer (in French)
A useful guide to South Pacific weather resources complied by a Noonsite contributor, Rory Garland.
For links to free global weather information, forecast services and extreme weather information see the Noonsite Weather Page.
Hienghene , Ile des Pins , Koumac , Lifou Island (We) * , Noumea * , Touho
* indicates port of entry


Well they moved on down
and they crawled around
walkin’ sideways,
sideway walkin’
Give me the Blues
And you start to scratch
when they start to hatch
walkin’ sideways,
sideway walkin’
Give me the Blues
When they start to bite
then it’s time you saw the light
For an appointment
I know, before you start to scream
that’s when you apply the cream
Blues Ointment
Rub it in
Well the doctor said
we got to make ‘em dead
Walkin’ sideways,
sideway walkin’
Give me the Blues
And when you start to scream
that’s when you apply the cream
Blues Ointment
And when they start to itch,
you go out and you take the bitch
For an appointment
Well you rub it on and you rub it in
Stops ‘em walkin’ , sideway walkin’
Give them the Blues
Sideway walkin’
Sideway walkin’
They got the Blues
Give them the Blues
They got the Blues
Give them the Blues


{% extends "base_layer.html" %} {% block content %}
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{% extends 'core_layout.html' %} {% load static %} {% block title %}Autodidacticism Papers{% endblock title %} {% block head %} {% endblock head %} {% block body %}
This page, very similar to the Articles page, contains not articles written by me specifically but papers either used by me for research or written by me. These papers can be queried in the same way that articles can be searched. All papers are saved as a pdf and as such will need to be downloaded then viewed.
Like Articles, Papers are mainly sorted based on topic. The links below return Papers only for their specific topic. Individual Papers can be searched for via the search bar:
Uploaded on: {{paper.upload_date}}
Authors: {{paper.authors}}
Article Category: {{paper.paper_category}}
{{paper.paper_description}}
{% endfor %} {% endblock body %}


BOUND A film review by Christopher Null Copyright 1996 Christopher Null
Does anyone else out there have a terrible time taking Jennifer Tilly seriously, no matter what role she plays? Well, I do, and her performance in BOUND is no exception to the rule.
Here, Tilly plays Violet, a mobster's wife with a plan to make off with $2 million of the Mafia's money. Enlisting the aid of Corky (SHOWGIRLS's Gina Gershon), your everyday laborer/lesbian-next-door, the two ladies play a game of double-cross with the mob, with Violet's husband Caesar (RISKY BUSINESS's Joe Pantoliano) set to take the fall.
As you might expect, it doesn't quite go according to plan, and as the bodies stack up, the stakes get higher and higher. If this sounds familiar, you're probably recalling FARGO, which is structured almost identically, but which is realized to a level of near-perfection that BOUND is sorely lacking.
BOUND is a stylish thriller, emphasis on style. Writers-directors-brothers Andy and Larry Wachowski use an avant-garde and downright bizarre photographic motif of the extreme close-up variety. On the one hand this is interesting, and on the other it is quite annoying. The Wachowskis' style is so dynamic that it literally feels like the viewer is being pushed around, making BOUND a participative experience, like it or not.
And to be perfectly honest, I'd rather not. Placing much more energy into "looking cool," the script ends up falling a bit flat in areas where a little more complexity could have been used. Most notable in this regard is a dropped-in-your-lap ending that feels as if someone just forgot about it until the last second.
But there's a lot of meat between the opening credits and that -- Pantoliano is a lot of fun as his now-instantly recognizable trollish tough guy, and the noirish feel to the picture really keeps you on the edge of your seat. Fans of the thriller genre will probably be moderately pleased, as I was, but will leave hungry for more.

The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Maria:
I must have the scrolls in order to help you...
Lucas's mention of the fortune-teller reminds me of something... I know an astrologer who is an old friend of my family. I haven't seen her since the peasant's uprising...
Her name is Creta the Astrologer. You should be able to find her in Floran Village.
Take her this letter. I think she may be able to help us... Please.


Plan to build affordable senior housing advances | Honolulu Star-Advertiser
An estimated $373 million affordable-housing tower complex for seniors in the Kalihi-Palama area is back on track after more than a year of negotiations between the state and a private development team. Read more
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This grid component displays a SKY UX-themed grid of data. The grid should contain sky-grid-column
components that specify column information. The sky-grid
component can provide a view of a searchable, paginated list component when used within the sky-list component.
Specifies an array of data for the grid. Each item in the array should have an ID and a property that maps to either the field
or id
property of each column in the grid.
Specifies an array of columns to display in the grid. Will match the id
or field
properties of the columns. If no array is provided, then the grid displays all columns.
Acceptable values: Array of strings
.
Specifies how the grid should fit to its parent.
Acceptable values: 'width'
or 'scroll'
.
Specifies the height of the grid.
Acceptable values: number
.
Specifies the width of the grid.
Acceptable values: number
.
Specifies the field to use to sort the grid.
Acceptable values: ListSortFieldSelectorModel
. ListSortFieldSelectorModel
contains the fieldSelector
string that represents the current sort field and the descending
boolean that indicates whether to sort in descending order.
Fires when the columns to display in the grid change. Emits an array of column IDs.
Fires when the active sort field changes. Emits a ListSortFieldSelectorModel
.
Specifies a unique ID for the column. If no field
property exists on the column, then this is used as the property to retreive cell information from an entry on the grid data
array.
Specifies the property to retreive cell information from an entry on the grid data
array. If no id
property exists on the column, then this will be used as the entry for the grid selectedColumnIds
array.
Specifies text to display in the column header.
Specifies a description for the column.
Specifies the width of the column.
Indicates whether the column is locked. If set to true
, then users cannot drag the column to another position and or drag other columns before the locked column.
Indicates whether the column sorts the grid when users click the column header.
Indicates whether the column is initially hidden when grid selectedColumnIds
are not provided.
Specifies a search function to apply for the specific column. By default, the column executes a string compare on the column data.
Acceptable values: (data: any, searchText: string) => boolean
Specifies a template for a column. This can be assigned as a reference to the template
attribute, or it can be assigned as a child of the template
element inside the sky-grid-column
component. The template has access to the value
variable, which contains the value passed to the column, and the row
variable, which contains the entire row data.


|
raspiOS
0
A baremetal OS for ARMv8/raspi3
|
#include "FAT_BPB.h"
Public 类型 | |
| enum | { SEC_PRESENT = 0, SEC_COPY = 6 } |
| enum | FATType { FAT12, FAT16, FAT32, UNKNOWN } |
Public 成员函数 | |
| FAT_BPB::FATType | getFATType () const |
| size_t | uni_getRootDirSecCount () const |
Public 属性 | |
| enum FAT_BPB::FATType | __attribute__ |
| uint8_t | BS_jmpBoot [3] |
| char | BS_OEMName [8] |
| uint16_t | bytesPerSec |
| uint16_t | FATSz16 |
| uint32_t | hiddSec |
| uint8_t | media |
| uint8_t | numFATs |
| uint16_t | numHeads |
| uint16_t | rootEntCnt |
| uint16_t | rsvdSecCnt |
| uint8_t | secPerClus |
| uint16_t | secPerTrk |
| uint16_t | totSec16 |
| uint32_t | totSec32 |
NOTE: to be used on any platform,do not use any platform specific types FORBIDDEN: size_t, int,short,long and their unsiged types, void* ALLOWED:uint32_t,uint64_t,uint16_t,uint8_t,char(less recommended)
char is used where it make sense,such as a name,or an identifier
BS = Boot Sector, prefix means used by BS
NOTE: this implements the Microsoft FAT32 Specification, which can be accessed at:TODO add FAT32 Spec pdf website(original and dumped) TEST NOTE: must-do : check if this class and its derived class are packed as desired.
| enum FAT_BPB::FATType |
| FAT_BPB::FATType FAT_BPB::getFATType | ( | ) | const |
在文件 FAT_FATBPB.cpp 第 18 行定义.
| size_t FAT_BPB::uni_getRootDirSecCount | ( | ) | const |
| enum FAT_BPB::FATType FAT_BPB::__attribute__ |


Decision-tree regression example¶
Creating a simple explainer for decision-tree regression
from sklearn import tree
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from XAI.XAI import XAI
#load dataset: https://www.kaggle.com/uciml/red-wine-quality-cortez-et-al-2009
df = pd.DataFrame(pd.read_csv("./winequality-red.csv", sep=','))
#prepare dataset
df = df.dropna()
X = df[["fixed acidity","volatile acidity","citric acid","residual sugar","chlorides","free sulfur dioxide","total sulfur dioxide","density","pH","sulphates","alcohol"]]
y = df[["quality"]]
#split dataset in training and testing (score)
X_train = X[:-100]
y_train = y[:-100]
X_score = X[-100:]
y_score = y[-100:]
#create a decision-tree regression model
regr = tree.DecisionTreeRegressor()
#fit the model
regr.fit(X_train,y_train)
#create the XAI object using: the predict function (regr.predict), the training input set (X_train), and training output set (y_train)
xai = XAI(regr.predict, X_train, y_train)
From here you can:
Plot a global explanation
Plot a local explanation
Plot a curve (global)
All of the above explanations write to the matplotlib.pyplot.
Plot global¶
#Plot a global explanation, using the link identity and task regression for regression models.
#More info about Link can be foun here: https://en.wikipedia.org/wiki/Generalized_linear_model#Link_function
xai.plot_global(link="identity", task="regression")
#use plt.show() to display result
plt.show()
Plot local¶
#Plot a local explanation, using the link identity and task regression for regression models.
#More info about Link can be foun here: https://en.wikipedia.org/wiki/Generalized_linear_model#Link_function
#The first argument is the instance to be explained (X_score.iloc[0])
#The plot_type argument can be set to "waterfall" or "force". Note if unset default is "force".
xai.plot_local(X_score.iloc[0], link="identity", task="regression", plot_type="waterfall")
#use plt.show() to display result
plt.show()
Plot curve¶
#Plot a global explanation curve.
xai.plot_curve()
#use plt.show() to display result
plt.show()


- use Test::Unit instead of RubyUnit for test suites.
- avoid calling XMLScanner#scan_prolog with an empty string.
- '&;' causes a parse error.
- avoid some warnings of Ruby-1.8.
- Fixed a fatal bug in scanner.rb.
- XMLScan::HTMLScanner allows to include slashes('/') in an attribute value.
- Independented from $KCODE. XMLScanner#kcode and XMLScanner#kcode= were
added.
- XMLScan::XMLParser doesn't replace any entity references.
XMLScan::XMLParser::PredefinedEntity was removed.
- XMLScan::XMLParser doesn't exchange any method calls. The following
methods were never called in xmlscan-0.1, but are called in xmlscan-0.2.
- XMLScan::Visitor#on_charref_hex
- XMLScan::Visitor#on_attr_charref_hex
- XMLScan::Visitor#on_stag_end_empty
- XMLScan::XMLChar now uses regular expressions to search illegal
characters in an XML document. The parsing speed of XMLScan::XMLParser
with :strict_char option was dramatically improved.
- Fixed a few bugs in XMLScan::XMLScanner.
- Improved parsing speed.
- Ready for Ruby-1.8.
- Added install.rb, which is an simple installer.
- Fixed a couple of bugs.
- Improved parsing speed.
- Rewrote sample benchmark script.
- Fixed several bugs in XMLScan::XMLScanner.
- XMLScan::Visitor was moved from scanner.rb to visitor.rb.
- XMLScan::Version was renamed to XMLScan::VERSION.
- Added new constant XMLScan::RELEASE_DATE.
- The first stable version of xmlscan.
- Another release candidate.
- An release candidate for the stable release.
- Restarted the project, and this is the first announced version of
new xmlscan.
All versions before 0.1.0-20020920 are called as ``ancient xmlscan'',
since they are so old that even the author have forgotten what they are ;p


1 write to connectionStr
Microsoft.WSMan.Management (1)
WSManInstance.cs (1)
1539
connectionStr
= helper.CreateConnectionString(connectionuri, port, computername, applicationname);
1 reference to connectionStr
Microsoft.WSMan.Management (1)
WSManInstance.cs (1)
1565
m_session = helper.CreateSessionObject(m_wsmanObject, Authentication, sessionoption, Credential,
connectionStr
, CertificateThumbprint, usessl.IsPresent);


Interaction Flow
- Jane entered the gaming field.
- Jane learns to build computers.
- Jane spends many years and many thousands of dollars working on her rigs.
- Jane starts to compete professionally as a gamer.
- Jane has to identify the best place to purchase her equipment for her career.
- After much deliberation, and time Jane picks NewEgg as the best site.
- Jane now purchases all her equipment through NewEgg because of the great prices and huge selection.
- With this decision, Jane will become a better gamer.


{{ define "main" }} {{ $data := index .Site.Data }} {{ partial "hero.html" . }}
Join us from all over the world to find out how Airflow is being used by leading companies, what is its roadmap and how you can participate in its development.


Particle Initializers
This page lists and describes all particle initializers.
Box Position Initializer
Initializes a particle's position to a random point within a box shape.
PositionOffset, Size: These values define the size and position of the box, relative to the origin of the particle system. With a position offset of (0, 0, 0)
, the box will be centered around the system's origin.
ScaleXParam, ScaleYParam, ScaleZParam: Optional names of effect parameters. This allows to scale the volume in which particles spawn.
Note: Scaling the volume will change particle density. To compensate, the particle system will automatically spawn more or fewer particles. Thus you can author an effect as a 1x1x0 meter sized patch and then let the user decide how large a patch she needs by exposing these parameters. If your 1x1x0 patch requires roughly 100 particles at all times, then scaling it to a 10x5x0 patch will require 5000 particles.
Cylinder Position Initializer
Initializes a particle's position to a random point either within a cylinder or on its surface. A cylinder of height 0
initializes the position to a random point on a circle or its circumference.
PositionOffset, Radius, Height: These values define the size and position of the cylinder, relative to the origin of the particle system. With a position offset of (0, 0, 0)
, the cylinder will be centered around the system's origin. A height of 0
turns the cylinder into a circle.
OnSurface: If enabled, particles will only spawn on the surface of the cylinder, not inside it. This also excludes the caps. For a cylinder of height 0
that means the particles will spawn on the circumference of a circle.
SetVelocity, Speed: If enabled, the initializer will additionally set the particle's starting velocity. The velocity is always outward from the cylinder's center line.
ScaleRadiusParam, ScaleHeightParam:
Optional names of effect parameters. This allows to scale the volume in which particles spawn.
Note: Scaling the volume will change particle density. See the box position initializer for details.
Sphere Position Initializer
Initializes a particle's position to a random point within a sphere shape.
PositionOffset, Radius: These values define the size and position of the sphere, relative to the origin of the particle system. With a position offset of (0, 0, 0)
, the sphere will be centered around the system's origin.
OnSurface: If enabled, particles will only spawn on the surface of the sphere, not inside it.
SetVelocity, Speed: If enabled, the initializer will additionally set the particle's starting velocity. The velocity is always outward from the sphere's center.
ScaleRadiusParam:
Optional name of an effect parameter. This allows to scale the volume in which particles spawn.
Note: Scaling the volume will change particle density. See the box position initializer for details.
Random Color Initializer
Initializes a particle's color to a random color.
Gradient: If specified, the random color will be picked from the given color gradient.
Color1, Color2: A random interpolated color between the two given colors is used. So if one color is white and the other is black, particles will get a random grey value as their color. If a gradient is set as well, the two colors are combined.
Random Size Initializer
Initializes a particle's size to a random value.
Size: The base size for the particles to start with. To initialize all particles to have a fixed size, set the variance to zero.
SizeCurve: If specified, the curve is sampled at a random location and the normalized value (always between 0
and 1
) is used to scale the randomly chosen base size. The shape of the curve has no meaning for this use case, it only provides a way to affect the distribution of the random sizes. For example, you could have a curve that sets exactly half of all particles to exactly a tenth of the base size. If you want exactly the same distribution as the curve has, you should set the variance of the base size to zero.
Rotation Speed Initializer
Initializes a particle's rotation and rotation speed to a random value.
RandomStartAngle: If enabled, the particle will start out with a random rotation. For particles with a distinct texture or shape, this can make the effect look significantly more natural.
DegreesPerSecond: If set to a non-zero value, particles will rotate with a constant speed. Each particle gets its own random speed assigned. With a low variance all particles will rotate similarly fast, with a high variance you will see some particles rotate very fast and some very slowly. Half of the particles rotate clockwise, the other half counter-clockwise.
Velocity Cone Initializer
Initializes a particle's velocity to a random up vector.
Angle: The maximum opening angle of the upside down cone.  With a wide opening angle, particles will fly in all directions.
Speed: The initial speed for the particles.


EasyRoads3D Scripting API [Pro]
OVERVIEW
This section covers the EasyRoads3D scripting API for coding your road network in the Unity editor or at runtime.
Classes


Move the \color{orange}{\text{orange dot}}
to
\color{orange}{fraction(NUMERATOR, DENOMINATOR)}
on the number line.
init({
range: [ [LOWER_BOUND - 0.3, UPPER_BOUND + 0.4], [-1, 1] ],
scale: [80*SCALE, 40]
});
// Draw Number Line
style({arrows: ">"});
line( [ LOWER_BOUND, 0 ], [ UPPER_BOUND + 0.25 / SCALE, 0 ] );
style({arrows: ""});
// Draw Number Line Tick marks
for ( var x = LOWER_BOUND; x <= UPPER_BOUND; x += 1 / DENOMINATOR ) {
line( [ x, -0.2 ], [ x, 0.2 ] );
}
// 0 and 1 tick marks
style({ stroke: BLUE, strokeWidth: 3.5 });
line( [ LOWER_BOUND, -0.2], [LOWER_BOUND, 0.2]);
label( [ LOWER_BOUND, -0.53 ], LOWER_BOUND, "center", { color: BLUE });
line( [ UPPER_BOUND, -0.2], [UPPER_BOUND, 0.2]);
label( [ UPPER_BOUND, -0.53 ], UPPER_BOUND, "center", { color: BLUE });
addMouseLayer();
graph.movablePoint = addMovablePoint({ constraints: { constrainY: true }, snapX: 0.25 / DENOMINATOR });
graph.movablePoint.onMove = function( x, y ) {
return [ min( max( LOWER_BOUND, x ), UPPER_BOUND ), y ];
};
Move the orange dot to select your answer.
graph.movablePoint.coord[0]
if ( guess === 0 ) {
return "";
}
return abs( SOLUTION - guess ) < 0.001;
graph.movablePoint.setCoord( [ guess, 0 ] );
Above we've drawn the number line from 0 to 1, divided into equal pieces.
The number line is divided into DENOMINATOR
equal pieces, so each piece represents
fraction(1, DENOMINATOR)
.
style({ stroke: "#6495ED", fill: "#6495ED", strokeWidth: 3.5, arrows: "->" });
line( [ 0, 0 ], [ SOLUTION, 0 ] );
graph.movablePoint.visibleShape.toFront();
The orange dot should be shifted NUMERATOR
segmentplural(NUMERATOR) over, as fraction(NUMERATOR, DENOMINATOR) =
NUMERATOR*fraction(1, DENOMINATOR)
label( [ SOLUTION, -0.83 ], fraction(NUMERATOR, DENOMINATOR), "center", { color: "#FFA500" });
graph.movablePoint.moveTo( SOLUTION, 0 );
The orange number shows where \color{orange}{fraction(NUMERATOR, DENOMINATOR)}
is on the number line.


This letter will be sent to {{ emailAddress$ | async }}
This technical record does not have an applicant email address associated with it
This letter will instead be sent to {{ userService.userEmail$ | async }}


This is Manager Main
Clazz Info
logout
The following is a valid job.
The following is a invalid job.
Hello
hi


Prysm
Visual workspaces where teams can create, edit and share
Prysm is a software suite designed to help enterprise customers communicate and work together in a shared interactive space. These spaces are stored in the cloud and available on any sized screen (from mobile to over 190 inches!).
Project Overview
The Challenge
In a multi-user collaborative environment, users expect to be aware of updates and important information. The project spaces had poor visibility of system status throughout the experience.
My Role
I was the interaction designer on this project, responsible for delivering wireframes and prototypes.
The Team
I worked with a UI designer, design manager, product owner, and a scrum team at Prysm. We also consulted members of our sales, training and customer support teams frequently.
Understanding The Problem
After kicking off the project, the team (plus members from sales, training, and support) met to map out our own assumptions and user pain points before moving forward.
Mapping Needs To Specific Personas
We were excited to break in our newly created proto personas. The design team worked closely with the product owner to map each user activity and the corresponding type of notifications that would be triggered. We used the personas to help us brainstorm and prioritize these ideas.
Ideation and Prototyping
What information do users need to see?
We quickly realized that there was a great deal of information we could communicate to our users, but how much was too much? We payed close attention to feedback we'd received from customers while creating our initial prototype.
Wireframes
Wireframes based on user stories for the project came together through a series of co-design sessions with the design team. We decided to group similar notifications in order to reduce visual clutter and minimize the amount of notifications a user would receive. We also thought it would be extremely useful to be able to take actions, like giving a user permission to enter the project, right from the notification. This meant that users had to be able to reach buttons on the notification, easier said than done on a 190' display!
Placement on a 190' screen
There were a number of factors to consider when placing notifications on the large display. First, users needed to be able to read their messages from 10 feet or 10 inches away. Secondly, they had to be able to physically reach the notification. Finally, notifications couldn't be too disruptive or cover central content on the screen. We tested many different solutions and found that placing notifications centrally at the bottom of the screen would meet all of our criteria.
Visual Design
With wireframes delivered, the UI designer got started on the visual design in sketch. The final designs were handed off to developers using a tool called Zeplin. Zeplin allows team members to post questions and comments right on the designs themselves.


| # | Field name | Length [bits] |
Content [bin] |
Content [hex] |
|---|---|---|---|---|
| 1 | Start of Frame (SOF) | |||
| 2 | Identifier (ID) | |||
| 3 | Remote Transfer Request (RTR) | |||
| 4 | Identifier Extension (IDE) | |||
| 5 | Reserved 0 (R0) | |||
| 6 | Data Length Code (DLC) | |||
| 7 | Data (Payload) | |||
| 8 | Cyclic Redundancy Check (CRC) | |||
| 9 | CRC Delimiter | |||
| 10 | Acknowledgement (ACK) Slot ⓘ | |||
| 11 | Acknowledgement Delimiter | |||
| 12 | End of Frame (EOF) | |||
| 13 | Inter-Frame Space (IFS) ⓘ |
| # | Field name | Length [bits] |
Content [bin] |
Content [hex] |
|---|---|---|---|---|
| 1 | Start of Frame (SOF) | |||
| 2 | Identifier part A (ID A) | |||
| 3 | Substitute Remote Request (SRR) | |||
| 4 | Identifier Extension (IDE) | |||
| 5 | Identifier part B (ID B) | |||
| 6 | Remote Transfer Request (RTR) | |||
| 7 | Reserved Bit 1 (R1) | |||
| 8 | Reserved Bit 0 (R0) | |||
| 9 | Data Length Code (DLC) | |||
| 10 | Data (Payload) | |||
| 11 | Cyclic Redundancy Check (CRC) | |||
| 12 | CRC Delimiter | |||
| 13 | Acknowledgement (ACK) Slot ⓘ | |||
| 14 | Acknowledgement Delimiter | |||
| 15 | End of Frame (EOF) | |||
| 16 | Inter-Frame Space (IFS) ⓘ |


Speaker: Dr Stephen McGough
Time and Location: Monday 5th June 2017 10:45-12:00, Foyer Space, Ground Floor, The Core
Abstract: It is estimated that 85% of worldwide data is held in unstructured/unlabelled formats - increasing at a rate of roughly 7 million digital pages per day. Exploiting these large datasets can open the door for providing policy makers, corporations, and end-users with unprecedented knowledge for better planning, decision making, and new services. Deep learning and probabilistic topic modelling have shown great potential for analysing such datasets. This analysis helps in: discovering anomalies within these datasets, unravelling underlying patterns/trends, or finding similar texts within a dataset. We’ll illustrate how we can use a combined unsupervised deep learning and topic modelling approach for sentiment analysis requiring minimal feature engineering or prior assumptions, and outperforming the state of the art approaches to sentiment analysis.
← Go Back.


Warehouse Freightman Aldo:
Well, Barbado has a fondness for music... He is quite an accordionist... He once mentioned that he wanted to learn another instrument... I believe it was the flute...
By the way, who are you? How do you know Barbado?


---
sort_order: 142
tei_id: rdx_b5j2m.p.idp2426784
annotation_count: 0
images:
small-thumbnail: http://readux.library.emory.edu/books/emory:b5j2m/pages/emory:p786t/mini-thumbnail/
json: http://readux.library.emory.edu/books/emory:b5j2m/pages/emory:p786t/info/
full: http://readux.library.emory.edu/books/emory:b5j2m/pages/emory:p786t/fs/
page: http://readux.library.emory.edu/books/emory:b5j2m/pages/emory:p786t/single-page/
thumbnail: http://readux.library.emory.edu/books/emory:b5j2m/pages/emory:p786t/thumbnail/
title: Page 142
number: 142
---
{% raw %}138 MRS. H. BEECHER STOWE's " UNCLE TOM."{% endraw %}
{% raw %}Do you suppose I am going to have that insult up{% endraw %}
{% raw %}there?" The English gentlemen began to gather{% endraw %}
{% raw %}around, chuckling with half-suppressed delight, to{% endraw %}
{% raw %}see the wrath of the Yankee. This only added fuel{% endraw %}
{% raw %}to the fire. " Well, sir," said he, " do you suppose I{% endraw %}
{% raw %}brought that stuff across the Atlantic for nothing ? "{% endraw %}
{% raw %}—" I never asked you to bring it for nothing. I{% endraw %}
{% raw %}am ready to pay you, and have been from the{% endraw %}
{% raw %}beginning."—"Well, sir, you may take it-away,{% endraw %}
{% raw %}and carry it where you please."—" Oh," said I, " I{% endraw %}
{% raw %}think, as you wanted it very much, I will not dis¬{% endraw %}
{% raw %}turb it. You can have it now."—" No, sir; take it{% endraw %}
{% raw %}away!"—"I beg your pardon, sir," said I, "when{% endraw %}
{% raw %}I wanted to remove it, you would not allow it, and{% endraw %}
{% raw %}now, for all me, it shall remain." In the meantime{% endraw %}
{% raw %}the crowd enjoyed it and so did I. The result was,{% endraw %}
{% raw %}that by the next day, the boards were removed to{% endraw %}
{% raw %}their proper place at no expense to me, and no bill{% endraw %}
{% raw %}was ever presented to me for carrying the lumber{% endraw %}
{% raw %}across the Atlantic.{% endraw %}
{% raw %}In that immense exhibition, my humble contribu¬{% endraw %}
{% raw %}tion received its due share of attention. I had{% endraw %}
{% raw %}many interesting conversations with individuals{% endraw %}
{% raw %}among that almost innumerable multitude from every{% endraw %}
{% raw %}nation under heaven. Perhaps my complexion at¬{% endraw %}
{% raw %}tracted attention, but nearly all who passed, paused{% endraw %}
{% raw %}to look at me, and at themselves, as reflected in my{% endraw %}
{% raw %}large black walnut mirrors.{% endraw %}
{% raw %}Among others, the Queen of England, Victoria,{% endraw %}
{% raw %}preceded by her guide, and attended by her cortege,{% endraw %}
{% raw %}paused to view me and my property. I uncovered{% endraw %}
{% raw %}my head and saluted her as respectfully as I could,{% endraw %}


| Load Time
Series
|
|
| Multiple files can be
selected and the vectors (scalar time series) from each file are added
to the temporary time series list. When completing selection of files,
the time series can be selected from the temporary time series list and
by completing the selection, the window disappears and the selected time
series are passed to the current time series list shown in the main menu
window.
Different data formats can be read. So far, the formats implemented are for plain text (ascii), excel (xls), matlab data files (mat) and the edf format used specifically for EEG records. All loaded data are organized in vector form with unique names (one name for each scalar time series). For example, if a data matrix of three columns is read from a file, the user can select to store in the current time series list any of the three time series with a name starting with the file name, followed by the character 'C' (for column) and the index of the corresponding column in the data matrix. |
|
| Curent Path |
|
| The current path is displayed here. | |
| Select Drive |
|
| The drive can be changed here. | |
| Files and Direcrories |
|
| The list contains all
files and directories in the current path.
To move up a directory for the current path, double click on '..' which appears at the top of the list (second line). To move down a directory double click on the directory name in the list. One or more file names can be selected by clicking (not double clicking!) on file names. This can be done by standard use of the mouse: a click on the first name and Shift^click on the last name selects all names between the first and the last name; a click on the first name and subsequent Ctrl^clicks on other names select these names including the first name. The selected data files will be attempted to be loaded by clicking the "Load selected files" button. Tips: For the selection of a set of data files with valid format dispersed in the list among other files of invalid formats, click on the data file of this set appearing first in the list and then Shift^click on the data file in the set appearing last in the list. In this way, all data files from the first selected to the last selected file in the list will be marked and from those only the ones that have valid data format will be processed (see Load selected files). Messages for all the read files will be displayed in the "Running messages" text box. |
|
| Load selected files |
|
| By pressing this button the selected data files will be attempted to be loaded. Each selected file is checked whether its has a valid format, where valid formats are ascii (plain text file), xls (excel files), mat (matlab variable storage file) and edf (a format for EEG records). If the format is not valid, or the name does not correspond to a file, a message is displayed in the "Running messages" text box. If the format is valid all vectors in the data file are listed in the "Select scalar time series" list with a name that starts with the file name, followed by the character 'C' and an order index for the respective column in the data file. | |
| Select scalar times series |
|
| Multiple time series names can be selected from this list. This can be done by standard use of the mouse: a click on a name and Shift^click on another name further down the list selects all names between the former and the latter; a click on a name and subsequent Ctrl^clicks on other names select these names including the first name; Ctrl^a selects the whole list. | |
| Load selected scalar times series |
|
| By pressing this button, the window disappears and the the selected time series are passed to the current time series list shown in the main menu window. | |
| Running messages |
|
| Messages about the files being loaded are displayed here. | |
| Cancel |
|
| The window is closed without loading any time series. | |
| Help |
|
| This page is displayed. |


Developers are notorious for leaving statements like FIXME's, TODO's, Code Broken, Hack, etc... inside the source code. Review the source code for any comments denoting passwords, backdoors, or something doesn't work right. Below is an example of a forms based authentication form. Look for clues to help you log in.
The user should be able to bypass the authentication check.


When you specify a Groovy expression here, only the combinations that result in true will be built. In evaluating the expression, axes are exposed as variables (with their values set to the current combination evaluated).
For example, let's say you are building on different operating systems for different compilers. Assume that your slave labels are label=[linux,solaris] and you have created an axis as compiler=[gcc,cc]. Any of the following expressions will filter out cc builds on linux. Depending on how you think about this constraint, you'll probably find some more intuitive than others.
| Read "if both linux and cc, it's invalid" |
!(label=="linux" && compiler=="cc") |
| Read "for a combination to be valid, it has to be either on solaris or on gcc." |
label=="solaris" || compiler=="gcc" |
| Read "if on Solaris, just do cc" |
(label=="solaris").implies(compiler=="cc") |
In addition to the specific filtering rules based on values, one can also use a special variable "index", which can be used to sparsen the matrix.
For example, index%2==0 would cut the matrix size in half by removing one combination per every 2 combinations, in such a way that the coverage is still reasonable. Similarly, index%3!=0 would cut the matrix size into 66% by throwing away every 1 out of 3 combinations.


|
|||||||||||
| PREV PACKAGE NEXT PACKAGE | FRAMES NO FRAMES |
See:
Description
| Interface Summary | |
| ClassPath.ClassFile | Contains information about file/ZIP entry of the Java class. |
| InstructionFinder.CodeConstraint | Code patterns found may be checked using an additional user-defined constraint object whether they really match the needed criterion. |
| Repository | Abstract definition of a class repository. |
| Class Summary | |
| BCELifier | This class takes a given JavaClass object and converts it to a Java program that creates that very class using BCEL. |
| ByteSequence | Utility class that implements a sequence of bytes which can be read via the `readByte()' method. |
| Class2HTML | Read class file(s) and convert them into HTML files. |
| ClassLoader | Drop in replacement for the standard class loader of the JVM. |
| ClassLoaderRepository | The repository maintains information about which classes have been loaded. |
| ClassPath | Responsible for loading (class) files from the CLASSPATH. |
| ClassQueue | Utility class implementing a (typesafe) queue of JavaClass objects. |
| ClassSet | Utility class implementing a (typesafe) set of JavaClass objects. |
| ClassStack | Utility class implementing a (typesafe) stack of JavaClass objects. |
| ClassVector | Utility class implementing a (typesafe) collection of JavaClass objects. |
| InstructionFinder | InstructionFinder is a tool to search for given instructions patterns, i.e., match sequences of instructions in an instruction list via regular expressions. |
| JavaWrapper | Java interpreter replacement, i.e., wrapper that uses its own ClassLoader to modify/generate classes as they're requested. |
| SyntheticRepository | This repository is used in situations where a Class is created outside the realm of a ClassLoader. |
This package contains utility classes for the Byte Code Engineering Library, namely:
|
|||||||||||
| PREV PACKAGE NEXT PACKAGE | FRAMES NO FRAMES |


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The main objective of the project is to create an online book store, where the customer can purchase books online through a web browser.
The world has moved onto a digitalized stage, in this world everyone is busy and everything is done on the go. This rises a problem in the world of book lovers, people who need to feel the rough texture of a paperback book in their hand to enjoy the read. They do not always have the time to be able to visit a bookstore to get their books. Additionally, in this modern world, people are depending on credit cards and online banking. Scarecly anyone carries cash with them, as many bookstores do not support credit card machines or have faulty lines.
The online book store is a web based project which is easy to maintain, scalable and ready to run project which can be used by everyone and it does not require any educational level or experience. The user can search for the desired book and later purchse it. Users will have to register themselves to purchase. Customer will be able to purchase books from anywhere through a web browser. This removes the time consuming task of planning and making the trip to the bookstore. Who would be able to turn down the offer of books coming at your doorstep?


{% extends 'user/student/course/java/layout.html' %} {% block body %}
Variables are containers for storing data values.
In Java, there are different types of variables, for example:
String
- stores text, such as "Hello". String values are
surrounded by double quotesint
- stores integers (whole numbers), without decimals, such as 123 or -123float
- stores floating point numbers, with decimals, such as 19.99 or -19.99char
- stores single characters, such as
'a' or 'B'. Char values are surrounded by single quotesboolean
- stores values with two states:
true or falseTo create a variable, you must specify the type and assign it a value:
type variable = value;
Where type is one of Java's types (such as int
or String
), and
variable is the name of the variable (such as x or
name). The equal sign is used to assign values to the variable.
To create a variable that should store text, look at the following example:
Create a variable called name of type String
and assign it the value "John":
String name = "John";
System.out.println(name);
To create a variable that should store a number, look at the following example:
Create a variable called myNum of type int
and assign it the value 15:
int myNum = 15;
System.out.println(myNum);
You can also declare a variable without assigning the value, and assign the value later:
int myNum;
myNum = 15;
System.out.println(myNum);
Note that if you assign a new value to an existing variable, it will overwrite the previous value:
Change the value of myNum
from 15
to 20
:
int myNum = 15;
myNum = 20; // myNum is now 20
System.out.println(myNum);
However, you can add the final
keyword if you don't want others (or yourself) to overwrite existing values (this will declare the variable as "final" or "constant", which means unchangeable and read-only):
final int myNum = 15;
myNum = 20; // will generate an error: cannot assign a value to a final variable
A demonstration of how to declare variables of other types:
int myNum = 5;
float myFloatNum = 5.99f;
char myLetter = 'D';
boolean myBool = true;
String myText = "Hello";
You will learn more about data types in the next chapter.
The println()
method is often used to display variables.
To combine both text and a variable, use the +
character:
String name = "John";
System.out.println("Hello " + name);
>
You can also use the +
character to add a variable to another variable:
String firstName = "John ";
String lastName = "Doe";
String fullName = firstName + lastName;
System.out.println(fullName);
For numeric values, the +
character works as a mathematical operator (notice that we use int
(integer) variables here):
int x = 5;
int y = 6;
System.out.println(x + y); // Print the value of x + y
From the example above, you can expect:
println()
method to display the value of x + y,
which is 11To declare more than one variable of the same type, use a comma-separated list:
int x = 5, y = 6, z = 50;
System.out.println(x + y + z);
All Java variables must be identified with unique names.
These unique names are called identifiers.
Identifiers can be short names (like x and y) or more descriptive names (age, sum, totalVolume).
Note: It is recommended to use descriptive names in order to create understandable and maintainable code:
// Good
int minutesPerHour = 60;
// OK, but not so easy to understand what m actually is
int m = 60;
The general rules for constructing names for variables (unique identifiers) are:
int
or
boolean
) cannot be used as names


--- layout: archive title: Zulip Chat Archive permalink: /stream/113488-general/topic/Pipes.20in.20lean.20on.20windows.html ---
Just a quick question for someone in-the-know: does lean
lack an implementation of pipes on windows? I'm looking in src/library/pipe.(h/cpp)
and it looks empty for windows---am I missing something?
I guess since even the windows version is built with MSYS2 it doesn't matter
Last updated: Apr 24 2020 at 19:02 UTC


Hello!
And welcome to my snake server.
Want to see some of my other projects / publications / resume?
Check out my website
.
Lost? Confused?
This site is just a server for my entrance in
Battlesnake 2019
.


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Description
This is the AWS CodeCommit API Reference . This reference provides descriptions of the operations and data types for AWS CodeCommit API along with usage examples.
You can use the AWS CodeCommit API to work with the following objects:
Repositories, by calling the following:
- batch-get-repositories , which returns information about one or more repositories associated with your AWS account
- create-repository , which creates an AWS CodeCommit repository
- delete-repository , which deletes an AWS CodeCommit repository
- get-repository , which returns information about a specified repository
- list-repositories , which lists all AWS CodeCommit repositories associated with your AWS account
- update-repository-description , which sets or updates the description of the repository
- update-repository-name , which changes the name of the repository. If you change the name of a repository, no other users of that repository will be able to access it until you send them the new HTTPS or SSH URL to use.
Branches, by calling the following:
- create-branch , which creates a new branch in a specified repository
- get-branch , which returns information about a specified branch
- list-branches , which lists all branches for a specified repository
- update-default-branch , which changes the default branch for a repository
Information about committed code in a repository, by calling the following:
- get-blob , which returns the base-64 encoded content of an individual Git blob object within a repository
- get-commit , which returns information about a commit, including commit messages and author and committer information
- get-differences , which returns information about the differences in a valid commit specifier (such as a branch, tag, HEAD, commit ID or other fully qualified reference)
Triggers, by calling the following:
- get-repository-triggers , which returns information about triggers configured for a repository
- put-repository-triggers , which replaces all triggers for a repository and can be used to create or delete triggers
- test-repository-triggers , which tests the functionality of a repository trigger by sending data to the trigger target
For information about how to use AWS CodeCommit, see the AWS CodeCommit User Guide .


Returns the current application.
Returns the current application classloader.
Returns the current application configuration.
Implicitly import the current running application in the context.
Implicitly import the current running application in the context.
Note that by relying on this, your code will only work properly in the context of a running application.
Retrieves a file relative to the current application root path.
Retrieves a file relative to the current application root path.
For example, to retrieve a configuration file:
val myConf = application.getExistingFile("conf/myConf.yml")
relative path of the file to fetch
an existing file
Retrieves a file relative to the current application root path.
Retrieves a file relative to the current application root path.
For example, to retrieve a configuration file:
val myConf = application.getFile("conf/myConf.yml")
the relative path of the file to fetch
a file instance; it is not guaranteed that the file exists
Returns the current application global settings.
Returns true
if the current application is DEV
mode.
Returns true
if the current application is PROD
mode.
Returns true
if the current application is TEST
mode.
Optionally returns the current running application.
Returns the current application mode.
Scans the current application classloader to retrieve a resource.
Scans the current application classloader to retrieve a resource.
For example, to retrieve a configuration file:
val maybeConf = application.resource("conf/logger.xml")
absolute name of the resource (from the classpath root)
the resource URL, if found
Scans the current application classloader to retrieve a resources contents as a stream.
Scans the current application classloader to retrieve a resources contents as a stream.
For example, to retrieve a configuration file:
val maybeConf = application.resourceAsStream("conf/logger.xml")
Absolute name of the resource (from the classpath root).
Maybe a stream if found.
Returns the current application router.
Starts this application.
Stops the current application.
Returns the currently running application, or null
if not defined.
High-level API to access Play global features.
Note that this API depends on a running application. You can import the currently running application in a scope using:


--- layout: post title: '소리바다 :: Share the Rhythm' date: '2008-03-15T13:22:18-07:00' tags: tumblr_url: http://alexhwilliams.tumblr.com/post/28949192/share-the-rhythm --- 소리바다 :: Share the Rhythm
A legal p2p music sharing service.


Sandy Hook Shooting
by BRIEFAUSTIN, Texas – A Texas appeals court ruled that defamation claims against Alex Jones, brought by the parents of a child who was killed in the Sandy Hook shooting, should continue, finding that a “reasonable viewer” of Jones’ Infowars broadcasts could conclude he suggested that the parents participated in a hoax.
Copyright © 2019 courthousenews.com


Welcome to SenseHat connected clock¶
This is the official documentation of the SenseHat connecter clock.
Be pleased to find all the source code on
Github.
Why this project¶
One day, I see a video about a clock which we can be programmed and display
information on a LED Matrix.
I loved to get that clock, but when I see the price (which was very expensive) I
I choose to program mine on the sense-hat device of the RaspberryPi.


---
layout: layout-sidebar
name: Opportunity
description: Information on additions and changes for the Opportunity API.
order: 200
published: true
showInNav: true
icon: fa fa-handshake
back_to_top: true
title: Opportunity Changelog
---
# {{ name }}
This page has moved to **https://developer.blackbaud.com/skyapi/support/changelog/opportunity**. Redirecting in 10 seconds...


Note: All prices includes printing cost!
This piano black frame is made from polycarbonate plastic which makes it durable as well as light!
Our Wooden Frames are made from Cedar hardwood, we choose cedar to make it both durable and smooth!
This piano black frame is made from polycarbonate plastic which makes it durable as well as light!
Our Wooden Frames are made from Cedar hardwood, we choose cedar to make it both durable and smooth!


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At Budibase, we’re revolutionizing the way that businesses build custom software. Here’s everything you need to know about using our open-source, low-code platform.
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dumps all that's known about the object
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Introduction to Machine Learning with Python - Chapter 2 - Linear Models for Classification
import sys
print("Python version: {}".format(sys.version))
import pandas as pd
print("pandas version: {}".format(pd.__version__))
import matplotlib
print("matplotlib version: {}".format(matplotlib.__version__))
import numpy as np
print("NumPy version: {}".format(np.__version__))
import scipy as sp
print("SciPy version: {}".format(sp.__version__))
import IPython
print("IPython version: {}".format(IPython.__version__))
import sklearn
print("scikit-learn version: {}".format(sklearn.__version__))
import mglearn
print("mglearn version: {}".format(mglearn.__version__))
import math
import matplotlib.pyplot as plt
from sklearn.model_selection import train_test_split
%matplotlib inline
Python version: 3.6.0 |Continuum Analytics, Inc.| (default, Dec 23 2016, 12:22:00)
[GCC 4.4.7 20120313 (Red Hat 4.4.7-1)]
pandas version: 0.19.2
matplotlib version: 1.5.3
NumPy version: 1.11.3
SciPy version: 0.18.1
IPython version: 5.1.0
scikit-learn version: 0.18.1
mglearn version: 0.1.3
1.6 Linear Models for Classification
In the case of Linear Models for classification, the predicted value threshold is set at zero (i.e. a logical determination of whether the target values meet the conditions or not).
Let’s look at binary classification first. In this case, a prediction is made using the following formula: ŷ = w[0] * x[0] + w[1] * x[1] + … + w[p] * x[p] + b > 0
The above formula, when reflected on chart, will appear to be a decision boundary that seperates two categoreis using a line, a plane, or a hyperplane.
1.6.1 Common Models for Linear Classification
All algorithms for linear classification models differ in the following two ways:
- How models measure how well a particular combination of coefficients and intercept fits the training data
- If any, what kind of regularization they use
Two most commen linear classification algorithms:
- Logistic Regression: linear_model.LogisticRegression
- Linear Support Vector Machines: svm.LinearSVC (Support Vector Classifier)
Let’s see how these two algorithms apply on the forge dataset.
from sklearn.linear_model import LogisticRegression
from sklearn.svm import LinearSVC
X, y = mglearn.datasets.make_forge()
fig, axes = plt.subplots(1, 2, figsize=(10, 3))
for model, ax in zip([LinearSVC(), LogisticRegression()], axes):
clf = model.fit(X, y)
mglearn.plots.plot_2d_separator(clf, X, fill=False, eps=0.5,
ax=ax, alpha=.7)
mglearn.discrete_scatter(X[:, 0], X[:, 1], y, ax=ax)
ax.set_title("{}".format(clf.__class__.__name__))
ax.set_xlabel("Feature 0")
ax.set_ylabel("Feature 1")
axes[0].legend()
<matplotlib.legend.Legend at 0x7fbc0be314a8>
In the above graphs, the line is the decision boundary that would determine the category of dots falling above or under the line. If the points fall above the line, they would be categorized as Category 1 and under as Category 0.
<IP_ADDRESS> Tweaking the regularization parameters for LogisticRegression and LinearSVC
By default, both models apply an L2 regularization, in the same way that Ridge does for regression.
For LogisticRegression and LinearSVC the trade-off parameter that determines the strength of the regularization is called C, and higher values of C correspond to less regularization. In other words, when you use a high value for the parameter C, LogisticRegression and LinearSVC try to fit the training set as best as possible, while with low values of the parameter C, the models put more emphasis on finding a coefficient vector (w) that is close to zero.
Using low values of C will cause the algorithms to try to adjust to the “majority” of data points, while using a higher value of C stresses the importance that each individual data point be classified correctly.
mglearn.plots.plot_linear_svc_regularization()
On the left, the strongly regularized model choose a relatively horizontal line by following only the general trend: that category 1 points are above and category 0 points are below.
On the right, since the regularization is been set to really low, the line tries its best to correctly categorize the points. Therefore, all points in category 0 is been identified.
The right option might overfit since it is trying over hard to fit ALL OF THE POINTS in the test set.
1.6.2 Logistic Regression
<IP_ADDRESS> LinearLogistic on Breast Cancer dataset
from sklearn.datasets import load_breast_cancer
cancer = load_breast_cancer()
X_train, X_test, y_train, y_test = train_test_split(
cancer.data, cancer.target, stratify=cancer.target, random_state=42)
logreg = LogisticRegression().fit(X_train, y_train)
print("Training set score: {:.3f}".format(logreg.score(X_train, y_train)))
print("Test set score: {:.3f}".format(logreg.score(X_test, y_test)))
Training set score: 0.955
Test set score: 0.958
The default value for C in LogisticRegression is 1. However, since the training and test sets have close scores, it is likely that the model is underfitting. Let’s try a more flexible model setting.
logreg100 = LogisticRegression(C=100).fit(X_train, y_train)
print("Training set score: {:.3f}".format(logreg100.score(X_train, y_train)))
print("Test set score: {:.3f}".format(logreg100.score(X_test, y_test)))
Training set score: 0.972
Test set score: 0.965
The more flexible (i.e. more complex) model have better performance in both training and test set. Just to compare the models, we can try a even more restricted model with C = 0.01.
logreg001 = LogisticRegression(C=0.01).fit(X_train, y_train)
print("Training set score: {:.3f}".format(logreg001.score(X_train, y_train)))
print("Test set score: {:.3f}".format(logreg001.score(X_test, y_test)))
Training set score: 0.934
Test set score: 0.930
As expected, more restricted model results in lower performance and closer accuracy for both training and testing set. It’s time for us to examine again the performance-complexity graph.
training_accuracy = []
test_accuracy = []
# try C from 0.00001 to 1000
C_settings = [0.0001, 0.001, 0.01, 0.05, 0.1, 0.5, 1, 3, 5, 7, 10, 20, 30, 50, 70, 100]
for C in C_settings:
# build the model
logreg = LogisticRegression(C=C)
logreg.fit(X_train, y_train)
# record training accuracy
training_accuracy.append(logreg.score(X_train, y_train))
# record generalization accuracy
test_accuracy.append(logreg.score(X_test, y_test))
plt.plot(np.array(C_settings),
training_accuracy, label="training accuracy")
plt.plot(np.array(C_settings),
test_accuracy, label="test accuracy")
plt.ylabel("Accuracy")
plt.xlabel("C logs")
plt.legend(loc=4)
<matplotlib.legend.Legend at 0x7fbc093981d0>
As we can expect from the C settings, having more and more flexible model makes the training accuracy more and more accurate; however, the accuracy of the data on the test set hits a plateau at around C = 5.
Finally, let’s check out the coefficient combinations of the models at different levels of C.
plt.plot(logreg.coef_.T, 'o', label="C=1")
plt.plot(logreg100.coef_.T, '^', label="C=100")
plt.plot(logreg001.coef_.T, 'v', label="C=0.001")
plt.xticks(range(cancer.data.shape[1]), cancer.feature_names, rotation=90)
plt.hlines(0, 0, cancer.data.shape[1])
plt.ylim(-5, 5)
plt.xlabel("Coefficient index")
plt.ylabel("Coefficient magnitude")
plt.legend()
<matplotlib.legend.Legend at 0x7fbc09314f28>
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{% extends "base.html" %} {% block title %}{{ super() }}Honeypot services management{% endblock %} {% block body %} {{ super() }}
On this page you can upload, update and delete honeypot services which will be available for deployment. Don't know what is necessary for a service? Show a small how-to.
| Name | Description | Actions |
|---|---|---|
| {{ service.name }} | {{ service.description }} |
You can create an interface in 4 simple steps:
from pipot.services.IService import IService
Are you sure you want to delete ?
Please enter the new description for :
Select and upload a new version for :


A small company with big goals and hopefully big influnce for good. Stop mistreatment of animals.
Total Visits to your about page: 100
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Completed offers: 1
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Okay if I talk?
I kinda get nervous when I take tests.
Sorry.
I already had an I.Q. test this year... but I don't think I ever had a...
Uh... sure...
Oh... that's the hotel.
Where I live.
Huh? Sure. Yeah. I guess. Is that...part of the test?
Oh. it's not fancy or anything.
Is this the test now?
What one?
What desert?
But how come I'd be there?
A tortoise. What's that?
Of course.
I never seen a turtle.
But I understand what you mean.
You make up these questions, Mr. Holden, or do they write 'em down for you?
Whatya means, I'm not helping?
My mother...
I'll tell you about my mother.
Don't move.
Reaction time is a factor in this so please pay attention. Answer as quickly as you can.
One one eight seven at Hunterwasser...
What?
Nice place?
Warming you up, that's all.
You're in a desert, walking along in the sand when...
Yes. You're in a desert, walking along in the sand when all of a sudden you look down and see a...
What?
Doesn't make any difference what desert... its completely hypothetical.
Maybe you're fed up, maybe you want to be by yourself...who knows. So you look down and see a tortoise. It's crawling toward you...
Know what a turtle is?
Same thing.
You reach down and flip the tortoise over on its back, Leon.
The tortoise lays on its back, its belly baking in the hot sun, beating its legs trying to turn itself over. But it can't. Not with out your help. But you're not helping.
I mean you're not helping! Why is that, Leon?
They're just questions, Leon. In answer to your query, they're written down for me. It's a test designed to provoke an emotional response.
Shall we continue?
Describe in single words. Only the good things that come to your mind. About your mother.


This Class represents a Transaction for the GiroDeGado software.
More...
#include <transaction.h>
|
| virtual | ~Transaction () |
| |
| virtual void | setNumber (QSqlQuery *query, int actual_transaction_number, int new_transaction_number)=0 |
| |
| virtual QString | getNumber (QSqlQuery *query, int transaction_number) const =0 |
| |
| virtual void | setValue (QSqlQuery *query, int transaction_number, double transaction_value)=0 |
| |
| virtual QString | getValue (QSqlQuery *query, int transaction_number) const =0 |
| |
| virtual void | setDescription (QSqlQuery *query, int transaction_number, std::string transaction_description)=0 |
| |
| virtual QString | getDescription (QSqlQuery *query, int transaction_number) const =0 |
| |
| virtual void | setDate (QSqlQuery *query, int transaction_number, std::string transaction_date)=0 |
| |
| virtual QString | getDate (QSqlQuery *query, int transaction_number) const =0 |
| |
| virtual void | setCattleEarring (QSqlQuery *query, int transaction_number, int transaction_cattle_earring)=0 |
| |
| virtual QString | getCattleEarring (QSqlQuery *query, int transaction_number) const =0 |
| |
This Class represents a Transaction for the GiroDeGado software.
◆ ~Transaction()
| virtual Transaction::~Transaction |
( |
| ) |
|
|
inlinevirtual |
This is the default destructor for the Transaction Class.
◆ getCattleEarring()
| virtual QString Transaction::getCattleEarring |
( |
QSqlQuery * |
query, |
|
|
int |
transaction_number |
|
) |
| const |
|
pure virtual |
Returns the cattle earring of the current Transaction in the database.
- Parameters
-
| query | the query of a database. |
| transaction_number | the number of the current Transaction. |
- Returns
- QString - the content cattle earring attribute.
Implemented in TransactionHandle.
◆ getDate()
| virtual QString Transaction::getDate |
( |
QSqlQuery * |
query, |
|
|
int |
transaction_number |
|
) |
| const |
|
pure virtual |
Returns the date of the current Transaction in the database.
- Parameters
-
| query | the query of a database. |
| transaction_number | the number of the current Transaction. |
- Returns
- QString - the content date attribute.
Implemented in TransactionHandle.
◆ getDescription()
| virtual QString Transaction::getDescription |
( |
QSqlQuery * |
query, |
|
|
int |
transaction_number |
|
) |
| const |
|
pure virtual |
Returns the description of the current Transaction in the database.
- Parameters
-
| query | the query of a database. |
| transaction_number | the number of the current Transaction. |
- Returns
- QString - the content description attribute.
Implemented in TransactionHandle.
◆ getNumber()
| virtual QString Transaction::getNumber |
( |
QSqlQuery * |
query, |
|
|
int |
transaction_number |
|
) |
| const |
|
pure virtual |
Returns the number of the current Transaction in the database.
- Parameters
-
| query | the query of a database. |
| transaction_number | the number of the current Transaction. |
- Returns
- QString - the content number attribute.
Implemented in TransactionHandle.
◆ getValue()
| virtual QString Transaction::getValue |
( |
QSqlQuery * |
query, |
|
|
int |
transaction_number |
|
) |
| const |
|
pure virtual |
Returns the value of the current Transaction in the database.
- Parameters
-
| query | the query of a database. |
| transaction_number | the number of the current Transaction. |
- Returns
- QString - the content value attribute.
Implemented in TransactionHandle.
◆ setCattleEarring()
| virtual void Transaction::setCattleEarring |
( |
QSqlQuery * |
query, |
|
|
int |
transaction_number, |
|
|
int |
transaction_cattle_earring |
|
) |
| |
|
pure virtual |
Sets the cattle earring of the current Transaction in the database.
- Parameters
-
| query | the query of a database. |
| transaction_number | the number of the current Transaction. |
| transaction_cattle_earring | which will be set to the current Transaction. |
Implemented in TransactionHandle.
◆ setDate()
| virtual void Transaction::setDate |
( |
QSqlQuery * |
query, |
|
|
int |
transaction_number, |
|
|
std::string |
transaction_date |
|
) |
| |
|
pure virtual |
Sets the date of the current Transaction in the database.
- Parameters
-
| query | the query of a database. |
| transaction_number | the number of the current Transaction. |
| transaction_date | which will be set to the current Transaction. |
Implemented in TransactionHandle.
◆ setDescription()
| virtual void Transaction::setDescription |
( |
QSqlQuery * |
query, |
|
|
int |
transaction_number, |
|
|
std::string |
transaction_description |
|
) |
| |
|
pure virtual |
Sets the description of the current Transaction in the database.
- Parameters
-
| query | the query of a database. |
| transaction_number | the number of the current Transaction. |
| transaction_description | which will be set to the current Transaction. |
Implemented in TransactionHandle.
◆ setNumber()
| virtual void Transaction::setNumber |
( |
QSqlQuery * |
query, |
|
|
int |
actual_transaction_number, |
|
|
int |
new_transaction_number |
|
) |
| |
|
pure virtual |
Sets the number of the current Transaction in the database.
- Parameters
-
| query | the query of a database. |
| actual_transaction_number | the number of the current Transaction. |
| new_transaction_number | which will be set to the current Transaction. |
Implemented in TransactionHandle.
◆ setValue()
| virtual void Transaction::setValue |
( |
QSqlQuery * |
query, |
|
|
int |
transaction_number, |
|
|
double |
transaction_value |
|
) |
| |
|
pure virtual |
Sets the value of the current Transaction in the database.
- Parameters
-
| query | the query of a database. |
| transaction_number | the number of the current Transaction. |
| transaction_value | which will be set to the current Transaction. |
Implemented in TransactionHandle.
The documentation for this class was generated from the following file: