3 Modules
Reusable components that comprise the majority of the styles.
3.1 Buttons
3.1.1 Standard Button
Your average form and link buttons.
lighten the button when focusing with the keyboard
lighten the button when hovering with a pointer
darken the button once it’s been pressed
A smaller button
A larger button
A less prominent button
Get started
3.1.3 Button Group
Multiple buttons grouped together

Get started
Or, join later

3.2 Quotes
3.2.1 Blockquote
A stylised blockquote, for when you want to cite someone else’s words.
We see almost around 1,000 different devices streaming Netflix on Android every day.
A left-aligned blockquote
We see almost around 1,000 different devices streaming Netflix on Android every day.
A left-aligned blockquote
We see almost around 1,000 different devices streaming Netflix on Android every day.
Another way to use the centre-aligned blockquote
We see almost around 1,000 different devices streaming Netflix on Android every day.

Amol Kher
Former Engineer Manager at Netflix said

We see almost around 1,000 different devices streaming Netflix on Android every day.

3.2.2 Pullquote
A stylised pullquote, perfect for highlighting content in your own article. http://miekd.com/articles/pull-quotes-with-html5-and-css
Another way to use the left-aligned pullquote
A centre-aligned pullquote

3.3 Cards
3.3.1 Cards
Cards for housing highlighted blocks of content.
-
Crosswalk for Tizen
Extension ready, powered by Chromium and Blink
-
Crosswalk for Apache Cordova
Improve your entire app’s wrapper by upgrading your WebView.
-
Crosswalk for Android
Use Crosswalk as your WebView or in-app browser
Card item with background
-
Crosswalk for Tizen
Extension ready, powered by Chromium and Blink
-
Crosswalk for Apache Cordova
Improve your entire app’s wrapper by upgrading your WebView.
-
Crosswalk for Android
Use Crosswalk as your WebView or in-app browser

Crosswalk for Tizen

Extension ready, powered by Chromium and Blink

Crosswalk for Apache Cordova

Improve your entire app’s wrapper by upgrading your WebView.

Crosswalk for Android

Use Crosswalk as your WebView or in-app browser

3.3.2 Card icon
An optional icon above a card
-
Crosswalk for Tizen
Extension ready, powered by Chromium and Blink
-
Crosswalk for Apache Cordova
Improve your entire app’s wrapper by upgrading your WebView.
-
Crosswalk for Android
Use Crosswalk as your WebView or in-app browser
Card item with background
-
Crosswalk for Tizen
Extension ready, powered by Chromium and Blink
-
Crosswalk for Apache Cordova
Improve your entire app’s wrapper by upgrading your WebView.
-
Crosswalk for Android
Use Crosswalk as your WebView or in-app browser

Crosswalk for Tizen

Extension ready, powered by Chromium and Blink

Crosswalk for Apache Cordova

Improve your entire app’s wrapper by upgrading your WebView.

Crosswalk for Android

Use Crosswalk as your WebView or in-app browser

3.4 Hero
3.4.1 Standard Hero
A prominent header section, usually the main focus of a page.
Build Hybrid Apps from the Future
Crosswalk is a powerful WebView
for building hybrid mobile applications on multiple versions of Android.
Inverted hero section
Build Hybrid Apps from the Future
Crosswalk is a powerful WebView
for building hybrid mobile applications on multiple versions of Android.
Coffee and game background
Build Hybrid Apps from the Future
Crosswalk is a powerful WebView
for building hybrid mobile applications on multiple versions of Android.
Example of adding additional, new headers
Build Hybrid Apps from the Future
Crosswalk is a powerful WebView
for building hybrid mobile applications on multiple versions of Android.

Build Hybrid Apps from the Future

Crosswalk is a powerful WebView for building hybrid mobile applications on multiple versions of Android.

Get started

3.4.3 Hero seperator
A seperator inbetween, or a prefix or suffix to hero sections.

Apache Cordova compatible
Crosswalk includes Cordova / PhoneGap APIs

Apache Cordova compatible
Crosswalk includes Cordova / PhoneGap APIs

3.5 Media
3.5.1 Media
The media object
A lot of content
Content
Left aligned cutoff
A lot of content
Content
Right aligned cutoff
A lot of content
Content

A lot of content

Content

3.5.2 Media list
A list of media objects

Apache Cordova compatible
Crosswalk includes Cordova / PhoneGap APIs

Apache Cordova compatible
Crosswalk includes Cordova / PhoneGap APIs

3.5.4 Media image

3.6 Logo
3.6.1 Logo
The module for logos.
3.7 Knockout
3.7.1 Knockout
For sections with light text on dark backgrounds. Particularly useful in conjunction with the <.hero> and <.blockquote> module.

Sectioned off content. Read more…

3.7.2 Well
For sections with regular text on grey backgrounds. Like Bootstrap’s “Well.”

Sectioned-off content. Read more…

3.8 Navigation
3.8.1 Nav
Primariy, horisontal navigation

Documentation

Blog

Dev Wiki

3.8.2 Nav logo

Documentation

Blog

3.8.3 Nav Toggle
Content that’s visible on larger screens, and uses a CSS-only toggle to reveal on smaller screens.

Toggle
Toggle

Nav item 1 (hidden on small screens)

Nav item 2 (hidden on small screens)

Nav item 3 (hidden on small screens)

3.9 Features
3.9.1 Features
Feature blocks
3.10 Footer
3.10.1 Footer
A site-wide footer.

The Crosswalk Project was created in the Intel Open Source Technology Center. Copyright © 2013–2014 Intel Corporation.

3.10.2 Block
A chunk of content in the footer.

Follow @xwalk_project on Twitter for hybrid app development resources.

The Crosswalk Project was created in the Intel Open Source Technology Center. Copyright © 2013–2014 Intel Corporation.

3.11 Form
3.11.1 Label
Android Version
<input id="form-androidVersions" name="form-androidVersions" type="text" placeholder="Ex. 4.3" />
3.11.3 Textarea
<textarea placeholder="Tell us about your experience with Crosswalk."></textarea>
3.11.4 Search Input
<input type="search" placeholder="Search, ex. Cordova…" />
3.11.5 Checkboxes
Tizen
<input type="checkbox" />
Android
<input type="checkbox" checked="checked" />
3.11.6 File
<input type="file" />
3.11.7 Select
<select>
<option>1</option>
<option>2</option>
<option>3</option>
</select>
3.11.8 Filedset
<form>
<fieldset>
<legend>Versions</legend>
Android Version
<input id="form-androidVersions" name="form-androidVersions" type="text" placeholder="Ex. 4.3" />
</fieldset>
</form>
3.11.9 Form Button Group
An input paired with a button
<form class="form">
<fieldset class="form-buttonGroup">
<input type="email" placeholder="Add your email, learn Android development" />
<input type="submit" value="join" class="button button--secondary" />
</fieldset>
</form>
3.12 Table
3.12.1 Table
This module could be improved or have a better name; basically, it is used for the tables on the landing page.
| HTML5 feature | Android WebView |
Crosswalk WebView |
| WebRTC | ||
| WebGL | ||
| Vibration API | ||
| Presentation API | ||
WebView updates |

HTML5 feature
Android WebView
Crosswalk WebView

WebRTC

WebGL

Vibration API

Presentation API

WebView updates

3.13 Article
3.13.1 Article List
A list of Articles
Thinner at mid width
Includes an .article-toc module

Introducing Cordova Intergration

<time class="js-vagueTime" datetime="Fri, 04 Jul 2014 13:14:00 GMT">1 month ago</time>

Introducing Android Intergration

<time class="js-vagueTime" datetime="Fri, 04 Jun 2014 13:14:00 GMT">2 months ago</time>

3.13.2 Article Table of Contents
Secondary navigation for blog posts, documentation, etc.
Includes an .article-list
inside.

Main Item Title 1

Sub Item Title 1

Sub Item Title 2 (active)

Sub Item Title 3

Main Item Title 2

Sub Item Title 1

Sub Item Title 2

3.13.3 Article
A generic blog post, documentation, help, etc. article.
Introducing Android Intergration
Crosswalk is a HTML5 runtime, built on open source foundations, which extends the web platform with new capabilities…

Introducing Android Intergration

<time class="js-vagueTime" datetime="Fri, 04 Jun 2014 13:14:00 GMT">2 months ago</time>

Crosswalk is a HTML5 runtime, built on open source foundations,
which extends the web platform with new capabilities…

3.13.4 Article Header
The header in article list items and articles themselves.
Crosswalk for app designers

Crosswalk for app designers

<time class="js-vagueTime" datetime="Fri, 04 Jun 2014 13:14:00 GMT">2 months ago</time>

3.13.5 Article Hero
Optional opening article images.
Crosswalk for app designers

Crosswalk for app designers

3.13.6 Article Lead
Stylized opening paragraphs for articles. Also available elsewhere via the helper class .lead
.
Crosswalk is a HTML5 runtime, built on open source foundations, which extends the web platform with new capabilities.
This means Android developers can now deploy your mobile HTML5 application with its own runtime without a dependence on the native WebView that is on your customer's device for all Android 4.0+ devices.

Crosswalk is a HTML5 runtime, built on open source foundations, which extends the web platform with new capabilities.

This means Android developers can now deploy your mobile HTML5 application with its own runtime without a dependence on the native WebView that is on your customer's device for all Android 4.0+ devices.

3.13.7 Article Exerpt
Exerpts used within article lists.
Crosswalk is a HTML5 runtime, built on open source foundations, which extends the web platform with new capabilities. Read more…

Crosswalk is a HTML5 runtime, built on open source foundations, which extends the web platform with new capabilities. Read more…

3.13.8 Article Promo
Callouts at the end of blog posts and documentation sections.
A Bootstrap-like “Well,” distinguishes the content with alternate styling (usually a grey box)

Get more hybrid app secrets

Build powerful hybrid apps for Android or Cordova / PhoneGap more reliably with tips from the Intel Crosswalk team.

3.13.9 Article Lists
Numbered, bullited, and definition lists are styled in a more pleasing manner for long form reading within articles
- Android
- Hybrid
- In-app browser
- Cordova
- Tizen
- Chrome
- Android
- Hybrid
- In-app browser
- Cordova
- Tizen
- Chrome

Android

Hybrid

In-app browser

Cordova

Tizen

Chrome

Android

Hybrid

In-app browser

Cordova

Tizen

Chrome

3.14 Embed
3.14.1 Container
For display videos with http://embedresponsively.com, so you can exclude the inline style tags it generates.

3.14.2 Overlay
Custom images for YouTube videos, etc.


In a stand-alone, non-replicated JE application, the log is strictly append only. You use the DbBackup class to help applications coordinate while database operations are continuing to add to the log. This helper class does this by defining the log files needed for a consistent backup, and then freezes all changes to those files, including any changes that might be made by JE background operations. The application can copy that defined set of files and finish operation without checking for the ongoing creation of new files. Also, there will be no need to check for a newer version of the last file on the next backup.
When you are using JE HA, however, log files other than the last log file might be modified as part of the HA sync-up operation. Though a rare occurrence, such modifications would invalidate the backup because there is the chance that files are modified after being copied.
If this happens, DbBackup.endBackup() throws a LogOverwriteException. Upon encountering this exception, the backup files should be discarded and a new set of backup files created.
For example:
for (int i=0; i < BACKUP_RETRIES; i++) { final ReplicatedEnvironment repEnv = ...; final DbBackup backupHelper = new DbBackup(repEnv); backupHelper.startBackup(); String[] filesForBackup = backupHelper.getLogFilesInBackupSet(); /* Copy the files to archival storage. */ myApplicationCopyMethod(filesForBackup); try { backupHelper.endBackup(); break; } catch (LogOverwriteException e) { /* Remove backed up files. */ myApplicationCleanupMethod(); continue; } finally { repEnv.close(); } }


A modular and customizable UI library based on Material Design and Vue 3
https://github.com/balmjs/balm-ui


Premise 0, tree s0_ccg0: The desert is dry and hot .
Premise 1, tree s1_ccg0: There is little water in the desert .
Premise 2, tree s2_ccg0: The only plant in the desert is the cactus .
Premise 3, tree s3_ccg0: Camels can be in the sun all day .
Premise 4, tree s4_ccg0: Camels do n't need water .
Premise 5, tree s5_ccg0: When people think of a desert , they usually think of a sandy , hot , and dry place .
Premise 6, tree s6_ccg0: Very few plants or animals live in desert areas .
Premise 7, tree s7_ccg0: Deserts are huge dry areas with very little plants , a couple of camels thrown in and miles and miles of sand .
Conclusion, tree s8_ccg0: Most deserts are very dry and they don’t get rain .


Water Gate parish holds 6th adult harvest - The Nation Newspaper
The 6th adult harvest thanksgiving of Celestial Church of Christ (CCC) Water Gate Parish, Ekundayo, Ifo , Ogun State, will take place on Sunday, December 8, 2019.
Activities marking the weeklong anniversary tagged ’’Harvest of Promotion’’, according to a release issued by Prophetess Olubunmi Mohammed would begin on Monday December 2 with a special vigil for sidemen and women.
The statement reads: ‘’ It’s been six years since God led our father in the Lord and shepherd in charge, Superior Evangelist Mathew Odunjo to establish the parish. There will be special blessing and needy service on Wednesday December 4, and special prophets and prophetesses intercession for people on Thursday December 5, while the new moon service will be held same day.
Read Also: Ogudu CCC celebrates Harvest of Unlimited Glory
‘’Friday December 6 is a special ‘night of promotion’ featuring Prophet Seun Ale of True Anointing Parish as guest preacher. The programme will also feature song ministrations by choirs from other celestial church parishes and guests artistes including Evangelists Shina Harmony; Niyi Best aka Okiki Ogo Jesu; Shola Hephzibah among others.’’
‘’ The harvest thanksgiving will be held at the church’s auditorium on Sunday December 8 by 10 am.’’


|
|
CS 111 - Introduction to Computer Science I
Syllabus |
This syllabus is not a contract. We reserve the right to spend more time
than scheduled on certain topics, less time on others and may, as a result,
omit others. In short, the
syllabus is a guide that represents our best thinking about the course at
the time it was constructed.
Text: Introduction to
Java Programming, Comprehensive Version (10th Edition)
by Y. Daniel Liang
Summary: Liang text chapters 1-10, plus recursion, dynamic
programming, use of Java data structures (lists, stacks, queues, sets, maps),
stochastic local search, Monte Carlo simulation, packages, and lambda
expressions.
Details:
- Chapter 1: Introduction to Computers, Programs, and Java
- course overview, introduction to computing environment, creating,
compiling, and executing Java programs (javac, java, eclipse)
- Chapter 2: Elementary Programming - Scanner,
variables, primitive datatypes, arithmetic operators, arithmetic
expressions, assignments, casting, software development process, common
pitfalls
- Chapter 3: Selections - boolean type, if/if-else
statements, common pitfalls, random number generation, logical operators,
switch, if-else expression (a.k.a. conditional expression, selection
operator, ternary operator), operator precedence and associativity,
debugging in Eclipse
- Chapter 4: Mathematical Functions, Characters, and Strings
- class Math methods, char type and operations, String type, binary,
hexadecimal review (covered earlier with section 2.10.1), printf
- Chapter 5: Loops - while-loops, do-while loops,
for-loops, loop choice, nested loops, break, continue
- Chapter 6: Methods - defining and invoking methods,
return statements with/without return values, passing arguments by value,
developing modular, reusable code, method overloading, variable scope,
abstraction, and stepwise refinement
- Chapter 7: Single-Dimensional Arrays - declaration,
creation, length, access, initialization, common array algorithms,
for-each loop, copying contents from array to array, array arguments and
return values, variable-length argument lists, linear and binary search,
selection sort, java.util.Arrays methods, command line arguments
- Chapter 8: Multidimensional Arrays - 2D array
declaration, creation, access, common operations, passing as arguments,
3D+ arrays
- Chapter 9: Objects and Classes - defining classes,
creating objects, constructors, object reference variables, defining and
accessing object fields and methods, Java library classes, static versus
non-static, private access specifier, getter/setter methods, data
encapsulation, object arrays, immutable objects, variable scope, keyword
this
- Chapter 10: Object-Oriented Thinking - class
abstractions in object-oriented programming, class relationships, design
principles, wrapper classes and conversion to/from primitive types (i.e.
auto-(un)boxing), BigInteger, BigDecimal, String, StringBuilder,
StringBuffer
- Recursion and Dynamic Programming - recursive problem
solving, base case(s), recursive step, recursive helper/auxiliary
functions, recursion with dynamic programming
- java.util Package Goodies - Java Generics,
ArrayLists, Stack, Queue (LinkedList), PriorityQueue, Set/HashSet/TreeSet,
Map/HashMap/TreeMap
- Stochastic Local Search and Monte Carlo Simulation -
global optimization, combinatorial optimization, hill descent
(with/without random uphill steps), restarts, SLS and MC Simulation
examples
- Using Packages and Lambda Expressions - adding
packages to the build path (classpath), interfaces, lambda expressions,
linear algebra and numerical methods examples


Type Metadata¶
Type metadata is a mechanism that allows IR modules to co-operatively build pointer sets corresponding to addresses within a given set of globals. LLVM’s control flow integrity implementation uses this metadata to efficiently check (at each call site) that a given address corresponds to either a valid vtable or function pointer for a given class or function type, and its whole-program devirtualization pass uses the metadata to identify potential callees for a given virtual call.
To use the mechanism, a client creates metadata nodes with two elements:
- a byte offset into the global (generally zero for functions)
- a metadata object representing an identifier for the type
These metadata nodes are associated with globals by using global object
metadata attachments with the !type
metadata kind.
Each type identifier must exclusively identify either global variables or functions.
Limitation
The current implementation only supports attaching metadata to functions on the x86-32 and x86-64 architectures.
An intrinsic, llvm.type.test, is used to test whether a given pointer is associated with a type identifier.
Representing Type Information using Type Metadata¶
This section describes how Clang represents C++ type information associated with virtual tables using type metadata.
Consider the following inheritance hierarchy:
struct A {
virtual void f();
};
struct B : A {
virtual void f();
virtual void g();
};
struct C {
virtual void h();
};
struct D : A, C {
virtual void f();
virtual void h();
};
The virtual table objects for A, B, C and D look like this (under the Itanium ABI):
| Class | 0 | 1 | 2 | 3 | 4 | 5 | 6 |
|---|---|---|---|---|---|---|---|
| A | A::offset-to-top | &A::rtti | &A::f | ||||
| B | B::offset-to-top | &B::rtti | &B::f | &B::g | |||
| C | C::offset-to-top | &C::rtti | &C::h | ||||
| D | D::offset-to-top | &D::rtti | &D::f | &D::h | D::offset-to-top | &D::rtti | thunk for &D::h |
When an object of type A is constructed, the address of &A::f
in A’s
virtual table object is stored in the object’s vtable pointer. In ABI parlance
this address is known as an address point. Similarly, when an object of type
B is constructed, the address of &B::f
is stored in the vtable pointer. In
this way, the vtable in B’s virtual table object is compatible with A’s vtable.
D is a little more complicated, due to the use of multiple inheritance. Its virtual table object contains two vtables, one compatible with A’s vtable and the other compatible with C’s vtable. Objects of type D contain two virtual pointers, one belonging to the A subobject and containing the address of the vtable compatible with A’s vtable, and the other belonging to the C subobject and containing the address of the vtable compatible with C’s vtable.
The full set of compatibility information for the above class hierarchy is shown below. The following table shows the name of a class, the offset of an address point within that class’s vtable and the name of one of the classes with which that address point is compatible.
| VTable for | Offset | Compatible Class |
|---|---|---|
| A | 16 | A |
| B | 16 | A |
| B | ||
| C | 16 | C |
| D | 16 | A |
| D | ||
| 48 | C |
The next step is to encode this compatibility information into the IR. The way this is done is to create type metadata named after each of the compatible classes, with which we associate each of the compatible address points in each vtable. For example, these type metadata entries encode the compatibility information for the above hierarchy:
@_ZTV1A = constant [...], !type !0
@_ZTV1B = constant [...], !type !0, !type !1
@_ZTV1C = constant [...], !type !2
@_ZTV1D = constant [...], !type !0, !type !3, !type !4
!0 = !{i64 16, !"_ZTS1A"}
!1 = !{i64 16, !"_ZTS1B"}
!2 = !{i64 16, !"_ZTS1C"}
!3 = !{i64 16, !"_ZTS1D"}
!4 = !{i64 48, !"_ZTS1C"}
With this type metadata, we can now use the llvm.type.test
intrinsic to
test whether a given pointer is compatible with a type identifier. Working
backwards, if llvm.type.test
returns true for a particular pointer,
we can also statically determine the identities of the virtual functions
that a particular virtual call may call. For example, if a program assumes
a pointer to be a member of !"_ZST1A"
, we know that the address can
be only be one of _ZTV1A+16
, _ZTV1B+16
or _ZTV1D+16
(i.e. the
address points of the vtables of A, B and D respectively). If we then load
an address from that pointer, we know that the address can only be one of
&A::f
, &B::f
or &D::f
.
Testing Addresses For Type Membership¶
If a program tests an address using llvm.type.test
, this will cause
a link-time optimization pass, LowerTypeTests
, to replace calls to this
intrinsic with efficient code to perform type member tests. At a high level,
the pass will lay out referenced globals in a consecutive memory region in
the object file, construct bit vectors that map onto that memory region,
and generate code at each of the llvm.type.test
call sites to test
pointers against those bit vectors. Because of the layout manipulation, the
globals’ definitions must be available at LTO time. For more information,
see the control flow integrity design document.
A type identifier that identifies functions is transformed into a jump table, which is a block of code consisting of one branch instruction for each of the functions associated with the type identifier that branches to the target function. The pass will redirect any taken function addresses to the corresponding jump table entry. In the object file’s symbol table, the jump table entries take the identities of the original functions, so that addresses taken outside the module will pass any verification done inside the module.
Jump tables may call external functions, so their definitions need not be available at LTO time. Note that if an externally defined function is associated with a type identifier, there is no guarantee that its identity within the module will be the same as its identity outside of the module, as the former will be the jump table entry if a jump table is necessary.
The GlobalLayoutBuilder class is responsible for laying out the globals efficiently to minimize the sizes of the underlying bitsets.
| Example: |
|---|
target datalayout = "e-p:32:32"
@a = internal global i32 0, !type !0
@b = internal global i32 0, !type !0, !type !1
@c = internal global i32 0, !type !1
@d = internal global [2 x i32] [i32 0, i32 0], !type !2
define void @e() !type !3 {
ret void
}
define void @f() {
ret void
}
declare void @g() !type !3
!0 = !{i32 0, !"typeid1"}
!1 = !{i32 0, !"typeid2"}
!2 = !{i32 4, !"typeid2"}
!3 = !{i32 0, !"typeid3"}
declare i1 @llvm.type.test(i8* %ptr, metadata %typeid) nounwind readnone
define i1 @foo(i32* %p) {
%pi8 = bitcast i32* %p to i8*
%x = call i1 @llvm.type.test(i8* %pi8, metadata !"typeid1")
ret i1 %x
}
define i1 @bar(i32* %p) {
%pi8 = bitcast i32* %p to i8*
%x = call i1 @llvm.type.test(i8* %pi8, metadata !"typeid2")
ret i1 %x
}
define i1 @baz(void ()* %p) {
%pi8 = bitcast void ()* %p to i8*
%x = call i1 @llvm.type.test(i8* %pi8, metadata !"typeid3")
ret i1 %x
}
define void @main() {
%a1 = call i1 @foo(i32* @a) ; returns 1
%b1 = call i1 @foo(i32* @b) ; returns 1
%c1 = call i1 @foo(i32* @c) ; returns 0
%a2 = call i1 @bar(i32* @a) ; returns 0
%b2 = call i1 @bar(i32* @b) ; returns 1
%c2 = call i1 @bar(i32* @c) ; returns 1
%d02 = call i1 @bar(i32* getelementptr ([2 x i32]* @d, i32 0, i32 0)) ; returns 0
%d12 = call i1 @bar(i32* getelementptr ([2 x i32]* @d, i32 0, i32 1)) ; returns 1
%e = call i1 @baz(void ()* @e) ; returns 1
%f = call i1 @baz(void ()* @f) ; returns 0
%g = call i1 @baz(void ()* @g) ; returns 1
ret void
}


Visual Message for the Inhabitants of Other Celestial Bodies
For this project, I wanted to communicate the relationship between humanity and our environment on Earth. My message to celestial beings is to demonstrate that human advancement in technology is slowy destroying our planet. The tree icons represent the degredation of nature over time in an upward motion. The first icon symbolizes a peaceful relationship with nature whereas the second icon and third icons represent our drastic shift to technology and finally the degradation of nature. The exclamation point on the phone screen is to show how this requires immediate attention. The phone displays the different stages of our environment as a result of technological advancement. I wanted to place emphasis on our constant use of technology through a third and first person perspective. There is also some irony that plays into this idea that the phone is the object that is showcasing this destructive cycle. Lastly, I added a small diagram of our solar system to communicate where we are located in relation to outer space.


I Alone Level-Up (Solo Leveling) Web Novel
Only I Level Up
The I Alone Level-Up (Solo Leveling) Web Novel novel is a popular light novel covering Action, Adventure, and Fantasy genres. Written by the Author Chugong. 271 chapters have been translated and translation of all chapters was completed.
Categories
Summary
10 years ago, after “the Gate” that connected the real world with the monster world opened, some of the ordinary, everyday people received the power to hunt monsters within the Gate. They are known as “Hunters”. However, not all Hunters are powerful. My name is Sung Jin-Woo, an E-rank Hunter. I’m someone who has to risk his life in the lowliest of dungeons, the “World’s Weakest”. Having no skills whatsoever to display, I barely earned the required money by fighting in low-leveled dungeons… at least until I found a hidden dungeon with the hardest difficulty within the D-rank dungeons! In the end, as I was accepting death, I suddenly received a strange power, a quest log that only I could see, a secret to leveling up that only I know about! If I trained in accordance with my quests and hunted monsters, my level would rise. Changing from the weakest Hunter to the strongest S-rank Hunter!
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71
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Chapter 37
-
36
Chapter 36
-
35
Chapter 35
-
34
Chapter 34
-
33
Chapter 33
-
32
Chapter 32
-
31
Chapter 31
-
30
Chapter 30
-
29
Chapter 29
-
28
Chapter 28
-
27
Chapter 27
-
26
Chapter 26
-
25
Chapter 25
-
24
Chapter 24
-
23
Chapter 23
-
22
Chapter 22
-
21
Chapter 21
-
20
Chapter 20
-
19
Chapter 19
-
18
Chapter 18
-
17
Chapter 17
-
16
Chapter 16
-
15
Chapter 15
-
14
Chapter 14
-
13
Chapter 13
-
12
Chapter 12
-
11
Chapter 11
-
10
Chapter 10
-
9
Chapter 9
-
8
Chapter 8
-
7
Chapter 7
-
6
Chapter 6
-
5
Chapter 5
-
4
The Three Commandments
-
3
Chapter 3
-
2
Chapter 2
-
1
Prologue


My suggestions of information sources
Knowledge is power. With the internet, we are lucky to have a great amount of information available in a matter of a few clicks. However, there is also a lot of junk or even deceiving information in the internet as well. Here, I list a non-exhaustive collection of links that may lead you to the light side of the force. 💡
News (general)
Agência Pública | Current Affairs | Democracy Now | El País | Gapminder | Hacker News | Jacobin | Mídia Ninja | Outras Palavras | Pessimist Archive | Revista Piauí | The Guardian | The Intercept | The Groundtruth Project | WikiLeaks |
News (science & research)
National Geographic | New Scientist | ScienceDaily | The Fair Journal |
Articles (science & research)
The scientific paper is obsolete |
Podcasts
A Terra é Redonda (Revista Piauí) | Foro de Teresina (Revista Piauí) | Radio Dreyeckland, Pulsar Brasil & Kooperation Brasilien | Retrato Narrado (Spotify) |
Radio
Engagement (NGOs)
amnesty international | biovision | EuroNatur | greenpeace | helvetas | international science council | Jacobs foundation | KoBra - Kooperation Brasilien | Nouvelle Planète | pro natura | Public Eye | small arms survey | Top Non Profits | Trauma Treatment International | vivo international | Wyss foundation |
Scientific institutes
Agroscope | Eidgenössische Forschungsanstalt für Wald, Schnee und Landschaft (WSL) | European Commission Science Hub | European Molecular Biology Laboratory (EMBL) | Human Rights Data Analysis Group | Max Planck Society | Research Institutes of Organic Agriculture (FiBL) | SciLifeLab Sweden | Software Sustainability Institute | Swiss Bioinformatics Institute (SIB) | Swiss Data Science Center (SDSC) | Swiss Federal Institute of Aquatic Science and Technology (EWAG) |
People and blogs
Irizarry lab | Just Enough R | R graph gallery | R companion | R for applied epidemiology and public health | Simply Statistics |
Job portals
academics | Diversity in Research Jobs (Wiley & Sons Inc.) | EURAXESS | German Life Science Association (VBIO) | Green jobs | Nature careers | UNjobs |


Preparation time
less than 30 mins
Cooking time
10 to 30 mins
Serves
Serves 4
Turkey mince is economical and low fat. Try it in this quick and easy stir-fry.
Each serving provides 320kcal, 34g protein, 4g carbohydrate (of which 3.5g sugars), 18g fat (of which 3g saturates), 1g fibre and 1.9g salt.
Wash the basil leaves and pat them dry. Set aside 15g/½oz of the whole leaves. Chop the rest very coarsely and set aside.
Heat 1cm/½in depth of oil in a medium frying pan over a medium-high heat. Place a plate lined with kitchen paper near the hob. Have ready a splatter screen or an upturned sieve to cover the pan to prevent the oil from splattering.
When the oil is hot, add the whole basil leaves. Cover immediately with the screen or sieve. Remove the cover as soon as the intense sizzling has died down (a matter of seconds) and stir the leaves once or twice. They will turn crisp very quickly.
Remove with a slotted spoon and spread out on the kitchen paper to drain. Once the oil has cooled sufficiently, strain it and reserve for future use.
Heat four tablespoons of oil in a large frying pan or wok over a medium heat. Add the garlic and shallots and fry, stirring, for about two minutes or until the shallots are lightly golden. Do not allow them to burn.
Add the chillies and ginger and give a few vigorous stirs.
Add the chopped basil and stir.
Add the minced turkey, turn up the heat a bit and fry for about 3-4 minutes, stirring to break up the lumps as you do so. The turkey will lose its pink colour once it's cooked.
Stir in the fish sauce (or salt), to taste, and the palm sugar (or dark brown sugar) and stir thoroughly to combine. If there is liquid remaining in the bottom of the wok, continue cooking until it boils off, but don't overcook the turkey.
Transfer to a serving dish, top with the crisp-fried basil leaves and serve.


Experiment by pressing the buttons to set or cancel notifications. Also see the console log.
Add Notification schedules a notification.
Queue Notification schedules the notification only when the app is moved into the background.
Cancel Notification cancels a single scheduled notification by ID.
Cancel All Notification cancels all pending scheduled notifications.


Appointment Picker Examples
Render on init
Pass static
as true to have the picker node rendered on initialization
new AppointmentPicker(document.getElementById('time'), { interval: 5, static: true, startTime: 10, endTime: 18, });
Copyright Jan Suwart, MIT license


| Date |
Topics |
Notes |
Lectures will be held at Seminarraum Argentinierstrasse, Argentinierstrasse 8 (or Paniglgasse), EG
IMPORTANT NOTE: The lecture on Friday 04.03 will be held at 11 am
| 4 Mar 2016, 11 am |
Course Overview |
Motivation and expectation of the course, and course administration |
| 11 Mar 2016 |
NO LECTURE |
|
| 18 Mar 2016 |
Emerging dynamic distributed systems and challenges for advanced services engineering |
Discuss new types of distributed systems, challenges, emerging service engineering (e.g., DevOps, Virtualization, Microservices) |
| 25 Mar 2016 |
Easter break |
|
| 1 April 2016 |
Easter break |
|
| 8 April 2016 |
IoT Cloud Systems |
Overview of IoT cloud systems/cyber-physical systems, and their engineering challenges |
| 15 April 2016 |
NO LECTURE |
|
| 22 April 2016 |
Data-as-a-Service Models and Engineering |
Data services, data concerns, data concern evaluation |
| 29 April 2016 |
Data marketplaces: core models and concepts |
data marketplaces, pricing |
| 6 May 2016 |
BACKUP Day |
It might be for assignment discussion |
| 13 May 2016 |
Assignment discussion |
|
| 20 May 2015 |
Advanced service-based data analytics: Models, Elasticity, and APIs |
|
| 27 May 2016 |
BACKUP Day |
Reserved for exception |
| 3 June 2016 |
Quality of results-aware data analytics |
quality of analytic results, elasticity based on quality of results |
| 10 June 2015 |
Human-based and software services in elastic systems |
we will discuss about human-based services could be integrated with software-based services to provide advanced analytics |
| 17 June 2016 |
Mini project discussion |
|
| 22 June - 10 July 2016 |
Final exam |
|


0" class="project-time-spent"> Total time spent: {{project.spentTotal.toStringFull()}}
{{project.contents}}


Models of "church/n" in GloWbE (English) and of "zwart/adj" in the QLVLNews corpus (Dutch).
Distance matrices of tokens are mapped to 2D with non-metric MDS.
Go to pageModels (and descriptions) of 33 Dutch nouns, adjectives and verbs. (Only nouns available at present)
Distance matrices of tokens are mapped to 2D with non-metric MDS and with t-SNE with different perplexities; it is possible to swith between solutions.
Welcome to the visualization tool of the Nephological Semantics projects.


Introduction
The world population maps are important information that should be acquired for many uses at the
same time these maps should be accurate and precise due to their uses in multiple sectors. They should
provide data about the human presence on each part of the Earth as this could be used for the studies
made on the operating policies and also for determining the critical level of the effect of disasters on
specific areas of the world.
Therefore, the reliability and accuracy of world population maps is essential. In order to know this
information an accuracy assessment has to be made to define the limitations of the datasets.
The main purpose of this website is to show the results of a study made on two separate datasets of the
world’s population. The first provided by the Global Human Settlement and the second by the WorldPop
Organization. The aim of the study is to compare the correlation between the two maps, then a
validation process was done to test the accuracy of these results with the reality by manually classifying
some samples taken on the same area.
Due to the large data and area of the world the study was concentrated on the region of Siberia
identified by area 7.


class: center, middle, inverse, title-slide # Lecture 12 ## Getting to Know Your Data: Cleaning and Exploration ### Tyler Ransom ### ECON 5253, University of Oklahoma --- # Plan for the day - Overview of the data preparation process - Tips for getting to know your data --- # Data Cleaning - .hi[Data Cleaning:] the process by which you "tame" your "wild" data - This is an important step of the process because it is at this step where *measurement* is determined - (e.g. "how many cigarettes per day do I define to be 'smoking'?") - Measurement is important but often overlooked - Your conclusions are limited by the quality of your data! --- # Data Cleaning Steps (1/2) You may need to do the following steps during the data cleaning process: * .hi[Convert] file format * e.g. JSON to CSV * .hi[Rectangularize] your data * e.g. store in data frame (or other useful container) * .hi[Clean up string] variables * e.g. remove "stop words" like "the," remove punctuation, keep only word stems * Convert .hi[format] of variables for downstream use * e.g. convert dates to specific format * .hi[Normalize] values of numerical data * e.g. standard deviation units --- # Data Cleaning Steps (2/2) * .hi[Impute] missing values * .hi[Merge] with other existing data sources * .hi[Remove] outlier observations * e.g. by top- or bottom-coding aka *winsorizing* * .hi[Fix typos] in numeric variables * e.g. `5.25` instead of `525` * .hi[Browse] the data --- # Data Exploration - .hi[Data Exploration:] the process by which you more fully inspect your data - Data cleaning and data exploration constitute an interative process - This is yet another reason to make sure you write code that is reproducible! - You are only ever "done" with code after running it 100+ times --- # Data Exploration Steps (1/2) Data exploration may include the following steps: * Computing .hi[descriptive statistics] * e.g. mean, variance, min, max, median, etc. * Creating .hi[frequency tables] * e.g. to tell if a variable is continuous or discrete * Creating .hi[transformations] of existing variables * e.g. `x^2`, `ln(x)`, etc. * Creating .hi[new variables] from combinations of existing variables * e.g. `x*z`, `x*w*z`, etc. * This is also called "feature engineering" by Computer Scientists --- # Data Exploration Steps (1/2) * .hi[Visualizing] your data * e.g. charts, graphs, scatter plots, etc. * Running .hi[preliminary models] * e.g. pairwise correlations, regressions, etc. * .hi[Selecting subsamples] * e.g. throw out baby boomers because millenials are the population of interest --- # Questions you should ask yourself Throughout the process of data cleaning/exploration, you should constantly be asking yourself the following questions: * What is my unit of analysis? * How am I measuring the phenomena I am attempting to research? * Do the variables mean what I think they should mean? * Does my data set have the expected number of observations? * What fraction of values are missing in my data? Is this what I would have expected? * Are variables named in such a way that if I were to give this data set to someone else, they would understand the contents of the data? * Are the variables I am interested in continuous or discrete? * Does anything about my data look *funny*? --- # Normalization of (continuous) numerical data - Often, it will be useful to normalize your data in specific ways - Why is it advantaeous to normalize numerical data? 1. It often greatly enhances numerical performance 2. It can help you interpret your model's results down the line (i.e. "A one-unit increase in X corresponds to a one-standard-deviation increase in Y") --- # Z-score - This is done by computing `z = (x-mu)/sigma` where `mu` is the sample average and `sigma` is the sample standard deviation - The resulting variable takes on values typically between -5 and +5, and each unit is interpreted as one standard deviation - .hi[example:] In education data, student test scores are often expressed in z-score units to facilitate "apples to apples" comparisons - In data science applications, many ML algorithms require z-scored data to appropriately run - This is because unscaled data can sometimes cause numerical issues - Many ML packages will do this z-scoring for the user as part of the algorithm --- # max-min normalization - This is done by normalizing the variable relative to its max and min - The transformed variable takes on values in [0,1]: `z = (x-min(x))/(max(x)-min(x))` - The issue with this method is that if your data set has crazy outliers, 95% of the data will be clustered at 0.5 in the normalized variable --- # Sigmoidal normalization - This is another way to transform a variable to fall in the (0,1) interval - This method is immune to outliers: `z = exp(x)/(1+exp(x))` or, equivalently, `z = 1/(1+exp(-x))` It's called .hi[sigmoidal] because the function `f(x) = 1/(1+exp(-x))` is known as the sigmoid (or logistic) function --- # Hyperbolic tangent normalization - If one wanted to normalize a variable to fall in the interval (-k,k), one could use the hyperbolic tangent function: `z = k*tanh(x)` This is a lot like the sigmoid function, only it goes from (-k,k) instead of (0,1) --- # Discretization - Sometimes, it's useful to convert a continuous variable into a discrete one - This can be done in a myriad of ways - We won't cover these in detail, but think of how a histogram is built --- # Other transformations - It may also help to transform variables to fit your specific needs. One common transformation is the `log` transformation: `z = ln(x)` - If you are examining earnings, sales, or some other nominal currency quantity, these distributions often are approximately log-normal - If you take the log of a log-normal distribution, you get back a normal distribution, which is very convenient to work with. - In general, you should think "log-normal" if you see a variable that is: 1. continuous 2. always positive 3. has a lot of observations clustered around a small(ish) value 4. has a really, really long tail --- # Imputation So you've got some missing values in your data. What can you do to fix them? * Listwise deletion * Mean (or mode) substitution * Regression (or k-nearest neighbors) matching * Multiple imputation * Bayesian methods * Create a binary variable indicating missingness and use it as a control in downstream models * Interpolate missing values (very useful for panel data!) --- # Why are the values missing? - The key to choosing an imputation scheme is knowing why the values are missing in the first place - Are they missing e.g. because users randomly had a glitch that kicked them off the website? Or are they missing because some users didn't feel like clicking "purchase" and instead logged off, leaving the product in their cart? --- # Types of missing data There are three types of "missingness": 1. Missing Completely At Random (MCAR) 2. Missing At Random (MAR) 3. Missing Not At Random (MNAR) --- # Missing Completely At Random (MCAR) - In MCAR, values are missing for completely random reasons - i.e. a weighted coin was flipped which determined whether the value made it into our data set - Think of this like a randomized experiment - MCAR almost never happens in real life --- # Missing At Random (MAR) - In MAR, values are not missing at random, but we can completely account for their missingness by using variables for which we have information - This would be like a regression model which satisfies the unconfoundedness assumption --- # Missing Not At Random (MNAR) - In MNAR, values are missing for reasons that are _not_ completely random, and which cannot fully be accounted for by other variables for which we have information - Think: an endogenous choice which is made based on utility maximization - .hi[sample selection bias] - canonical example: only observe wages for people who are employed; employment is not randomly assigned - newer example: only observe tweets of twitter users; twitter accounts (and usage) not randomly assigned --- # Ways to resolve missing data problem - Listwise deletion - Mean (or mode) substitution - Matching - Multiple imputation - Bayesian methods - Create missing value dummy variables - Interpolation --- # Listwise deletion - If the values are .hi[missing completely at random (MCAR)] then we can simply drop the entire offending row and our final results will not be biased - The downside is that we will lose statistical power (because we will have fewer observations) - Also, if lots of variables are MCAR in different ways, this can drastically reduce the number of observations --- # Mean (or mode) substitution - Another way to impute missing values is to fill in missings with the mean (if variable is continuous) or the mode (if variable is discrete) - This is not a great way to fix the problem - On the one hand, the average (mode) will be unchanged - On the other hand, the variance will be severely deflated --- # Matching - One can also impute by picking another observation for which the value is not missing, and which all other variables are as similar as possible - Essentially, we find a "donor" for the observation that is missing, and say "If the observations look similar enough, we can plug in the donor's non-missing value" - We can use a number of ways to find the donor: OLS, k-nearest neighbors, random forest, etc. - This method works great if values are MAR - It is important to keep in mind that these model-based imputation methods may understate the true variance of the distribution, so it is sometimes helpful to inject noise into the imputed values --- # Multiple imputation - Multiple imputation is a multi-step process: 1. Impute values M different times (via any of the above methods) 2. With M different data sets, conduct your analysis on each data set 3. Consolidate analyses (e.g. by averaging) - Example: `MICE` (Mulitple Imputation by Chained Equations) - At the end of the day, most multiple imputation methods are variations on "matching" which requires MAR --- # Bayesian methods - Another way to impute is to use Bayesian methods - The R package `MixedDataImpute` uses a state-of-the-art statistical model to impute missing values - Its performance exceeds that of MICE and other multiple imputation methods --- # Create binary variable for missing values - My preferred way to impute is to create a new variable that is `1` when the values of `x` are missing, and `0` otherwise - To create this, I follow these two steps: 1. Create the variable (e.g. `m_x`) equal to 1 if `x` is missing, 0 otherwise 2. Recode the missing values of `x` to be some constant value outside the support (e.g. 50) - The key thing to remeber is that `x` now has a mass point at 50, so when computing summary statistics, you should exclude these observations. - The nice thing about this is that you can, for example, run a regression and include `m_x` as a control variable, and it will estimate a separate effect for `x` for the group of values that are missing --- # Interpolation If you have panel data, you can fill in missing values by interpolating Example from my research: * follow individuals over extended period of time * in some years (e.g. 2010), individuals don't report their earnings * but I can see that they are working at the same job in 2009 and 2011, and I see their earnings in those years * I can .hi[interpolate] their 2010 earnings by taking the average of the 2009 and 2011 earnings --- # Notes on Interpolation - Interpolation requires having valid values on each boundary point - If you don't have this, then it's called *extrapolation* and it's much more prone to error - In my example above, if I observed earnings in 2009 and 2010, but not 2011, I would not be comfortable setting 2011 earnings to be the average of 2009 and 2010 because the individual may have gotten a promotion, etc. --- # Data exploration: descriptive statistics Descriptive statistics (mean, median, variance, min, max) may seem "boring" but they are the easiest way for you to summarize your data It's often helpful to generate a summary table that lists the descriptive statistics for each of the variables you are studying (either outcomes or controls), for example: | Variable | Obs. | Mean | Std. Dev. | Median | Min | Max | |------------|---------|-----------|-----------|------------|-----------|------------| | Sales | 15,147 | 13,456.50 | 16,579.81 | 10,500.00 | 501.00 | 165,789.00 | | Morning | 363,528 | 0.24 | 0.43 | 0.00 | 0.00 | 1.00 | | Afternoon | 363,528 | 0.36 | 0.48 | 0.00 | 0.00 | 1.00 | | Evening | 363,528 | 0.35 | 0.48 | 0.00 | 0.00 | 1.00 | | Night | 363,528 | 0.05 | 0.22 | 0.00 | 0.00 | 1.00 | | Income | 363,528 | 96,501.73 | 87,389.19 | 82,000.00 | 23,000.00 | 425,000.00 | | Age | 363,528 | 55.87 | 12.77 | 52.00 | 14.00 | 96.00 | | Female | 363,528 | 0.42 | 0.49 | 0.00 | 0.00 | 1.00 | Anything wrong with this table? Anything that jumps out at you? --- # Data exploration: frequency tables It's often helpful to compute frequency tables of each of your variables that are discrete (categorical) This will help you visualize the distribution of these variables For example: * Is the distribution of this three-category variable roughly uniform? * Or are 95% of the values in one of the three categories? --- # Data exploration: preliminary models It often helps to run preliminary statistical models to see how your variables covary, how sensitive raw correlations are to inclusion of additional predictors, etc. * pairwise correlations (including rank correlations) * concordance indices (e.g. Jaccard similarity) * OLS * Logit, Probit, etc. We'll talk more about these next week --- # Data visualization Commonly used data visualization types that are useful in getting to know your data: * box-and-whisker plot * scatter plot * histogram * kernel density plot * [binned scatter plots](https://michaelstepner.com/binscatter/binscatter-StataConference2014.pdf) (aka "binscatter") * line charts * maps * summary tables (tables are a visualization tool!) * word clouds (for textual data) * many others --- # When to use various visuals? Different visualization tools can be used for different tasks: * Find outliers * Examine distribution of values - box-and-whisker, histogram, kernel density * Report correlations - scatter plot or binscatter (for two continuous variables) - plots by "facet" (for one continuous variable and one categorical variable) * Examine trends in time series data - line charts * Text trends - word clouds - word trees --- # Coding visuals in R: `ggplot2` See [here](http://r4ds.had.co.nz/data-visualisation.html) for a step-by-step guide on the basics of creating data visuals in R using `ggplot2`. R package for binscatters: [binscattr](https://github.com/paulgp/binscattr) (still in its infancy) --- # Directory of visualization types (from Duke library) [This website](https://guides.library.duke.edu/datavis/vis_types) has a nice summary of types of visuals that may be helpful in telling your story. --- # The OG data visualization .center[ <img width="600" src="http://geoawesomeness.com/wp-content/uploads/2013/03/John-Snows-cholera-map.jpg" alt="Cholera Map"> ] --- # Beautiful visualization Reddit for beautiful visualizations: [r/dataisbeautiful](https://www.reddit.com/r/dataisbeautiful/) Comical opponent: [r/dataisugly](https://www.reddit.com/r/dataisugly/) * You don't want to end up on the latter site --- # Jupyter notebooks (in Python) created by Jason DeBacker (U of South Carolina) * [Static Visualizations](https://github.com/jdebacker/CompEcon_Fall17/blob/master/Visualization/StaticVisualization.ipynb) * [Dynamic Visualizations](https://github.com/jdebacker/CompEcon_Fall17/blob/master/Visualization/DynamicVisualization.ipynb) --- # Economic mobility data used by DeBacker This module of the course covers data visualization tools. We'll learn these tools by studying economic mobility using data from the [Equality of Opportunity Project](http://www.equality-of-opportunity.org). [Where is the Land of Opportunity? The Geography of Intergenerational Mobility in the United States](https://eml.berkeley.edu/~saez/chetty-friedman-kline-saezQJE14mobility.pdf) --- # Useful Links * [Matplotlib guide](http://pbpython.com/effective-matplotlib.html) * [Overview of Python visualization tools](http://pbpython.com/visualization-tools-1.html) * [A Dramatic Tour Through Python's Data Visualization Landscape](https://dsaber.com/2016/10/02/a-dramatic-tour-through-pythons-data-visualization-landscape-including-ggplot-and-altair/) * [A Detailed Matplotlib Example](https://www.dataquest.io/blog/making-538-plots/) * [Matplotlib Gallery](https://matplotlib.org/gallery.html) * [Seaborn Gallery](https://seaborn.pydata.org/examples/index.html) * [Bokeh Gallery](https://bokeh.pydata.org/en/latest/docs/gallery.html)


An AsyncGenerator object is an instance of an async generator function and conforms to both the AsyncIterator and AsyncIterable interfaces.
AsyncGenerator instances directly inherit properties from the object that is the value of the `prototype` property of the AsyncGenerator function that created the instance. AsyncGenerator instances indirectly inherit properties from the AsyncGenerator Prototype intrinsic, %AsyncGeneratorPrototype%.
The AsyncGenerator prototype object is the %AsyncGeneratorPrototype% intrinsic. It is also the initial value of the `prototype` property of the %AsyncGenerator% intrinsic (the AsyncGeneratorFunction.prototype).
The AsyncGenerator prototype is an ordinary object. It is not an AsyncGenerator instance and does not have an [[AsyncGeneratorState]] internal slot.
The value of the [[Prototype]] internal slot of the AsyncGenerator prototype object is the intrinsic object %AsyncIteratorPrototype%. The initial value of the [[Extensible]] internal slot of the AsyncGenerator prototype object is *true*.
All AsyncGenerator instances indirectly inherit properties of the AsyncGenerator prototype object.
The initial value of `AsyncGenerator.prototype.constructor` is the intrinsic object %AsyncGenerator%.
This property has the attributes { [[Writable]]: *false*, [[Enumerable]]: *false*, [[Configurable]]: *true* }.
The initial value of the @@toStringTag property is the String value `"AsyncGenerator"`.
This property has the attributes { [[Writable]]: *false*, [[Enumerable]]: *false*, [[Configurable]]: *true* }.
AsyncGenerator instances are initially created with the internal slots described below:
| Internal Slot | Description |
|---|---|
| [[AsyncGeneratorState]] | The current execution state of the async generator. The possible values are: *undefined*, `"suspendedStart"`, `"suspendedYield"`, `"executing"`, `"awaiting-return"`, and `"completed"`. |
| [[AsyncGeneratorContext]] | The execution context that is used when executing the code of this async generator. |
| [[AsyncGeneratorQueue]] | A List of AsyncGeneratorRequest records which represent requests to resume the async generator. |


This page collects together a number of minor (often trivial) packages that either I think
are nevertheless useful enough to publish for their own sake, or which are required by other
(possibly forthcoming) packages in my goodies.
- Package Relative File Locator
-
two kinds of FileLocator that work relative to a package when used in the IDE, or
relative to the image when deployed. One benefit is that it means I don't have
to follow, let alone impose, the absurd practise of keeping packages in an
image-relative position.
- Varargs
-
Wrapper class for C's va_list
that allows external interfacing to
many varargs-style functions. Also includes an implementation of
String>>sprintfWithArguments:
which takes an array of
arguments for sprintf() (which can include floating point numbers) and formats accordingly.
- String Extensions
-
A few extra methods for String
. Specifically versions of
#sprintf
that take more arguments and access to C's strcmp()
(which provide case-sensitive ordering of Strings — in the C locale).
- Stream Extensions
-
A few trivial methods added to WriteStream
for writing out WORDs
, DWORDs
and SDWORDs
, plus big-endian equivalents.
- Abstract Collections
-
The standard Smalltalk Collections hierarchy has several concrete containers that
don't inherit from proper abstract superclasses, which makes them difficult to extend.
This package includes a number of classes that try to fake a reasonable abstraction
by inheriting from the concrete class, and then overriding enough methods
(back to subclassResponsibility) to act as an abstract base class for the same protocol.
- Collection Adaptors
-
Builds on the Abstract Collections package to provide a number of simple adaptor classes.
Adaptors wrap some existing object that implements a small part of the interface of some
collection/stream, and extends it to support the entire interface.
- Null Streams
-
Builds on the Abstract Collections package to provide two trivial Streams. A
WriteStream
that discards everything that is
written to it, and a ReadStream
that always
answers the same object to #next
. Both keep
track of their positions.
- Rolling Accumulator
-
A circular buffer class.
- Binary Arrays
-
A few more binary arrays to complete the portfolio provided with Dolphin.
- Sort Blocks
-
Simple <diadicValuable> objects that can be used as sort blocks.
- Always
-
Simple <*adicValueable> objects that always answer the same value.
- Hashed Pair
-
Class of “pair” objects that are optimised for use as keys in dictionaries
to allow/simulate dictionaries with 2 or more keys. Also some helper methods
added to Dictionary
.
- Storage Size
-
A single method added to Object
that estimates its memory footprint
in bytes.
- Anonymous Subclass
-
Tiny framework for making anonymous subclasses (i.e. ones that are not linked into the
browsable hierarchy) of existing classes.
- Ghost Classes
-
Builds on Anonymous Subclass to provide a framework for creating ephemeral and
dynamically generated classes — ghost classes &mdash such as are
used by JNIPort.
- Object Methods
-
Builds on Anonymous Subclass to provide a framework for defining and managing
object-specific methods.
- Windows Shell Extensions
-
Trivial extension to the Windows Shell package which adds methods for retrieving
the names of Windows' standard folders (desktop, favourites, program files, etc).
Also extends BrowseFolderDialog to allow you to specify that network folders should
be included in the list.


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mRm: An R Package for Conditional Maximum Likelihood Estimation in
Mixed Rasch Models
Conditional maximum likelihood estimation via the EM algorithm and information-criterion-based model selection in binary mixed Rasch models.
| Version: |
1.1.6 |
| Published: |
2016-12-27 |
| Author: |
David Preinerstorfer |
| Maintainer: |
David Preinerstorfer <david.preinerstorfer at univie.ac.at> |
| License: |
GPL-2 |
| NeedsCompilation: |
yes |
| Materials: |
NEWS |
| In views: |
Psychometrics |
| CRAN checks: |
mRm results |
Downloads:
Reverse dependencies:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=mRm
to link to this page.


--- layout: post title: Proud son of Frisian chess champion date: 2008-03-24 17:55:01.000000000 +01:00 type: post parent_id: '0' published: true password: '' status: publish categories: - humble thoughts tags: [] meta: {} author: login: stmaarten email<EMAIL_ADDRESS>display_name: stmaarten first_name: '' last_name: '' ---
My dad recently won the Frisian chess championship for seniors (60+). In his younger years he unsuccessfully tried his hand before, but now he has won convincingly with six points out of seven. He acts like winning the championship is nothing, but we, his family, are very proud!
Read more about it on the site of the Friese Schaakbond


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{% extends 'crumbless.html' %} {% block title %}Content Types | HAWC{% endblock title %} {% block content %}
Each type of data in HAWC is assigned an integer based content type ID. Generally these IDs are used on the backend for various operations and configurations, but in some cases, knowing the content type for a particular class of data can be useful for filtering or sorting purposes. The labels for the applications are the machine-readable version of the tables, but hopefully they're named reasonably close to the human-readable forms.
Selected values for key data in HAWC are shown below:
| Domain | Dataset | ID |
|---|---|---|
| {{ct.app_label}} | {{ct.model}} | {{ct.id}} |


You have requested to enable 2-Factor Authentication via One-Time-Password for your account on %BOARDNAME%.
If this was not you, please ignore this email and consider changing your password. Otherwise, please follow this link or copy and paste the link below:
%REGISTER_URL%


Compound Dividends
When others Buy and Sell their points, you will earn Dividends proportionate to how many points you hold. These Dividends are awarded in ETC, so you have a couple of options. If you choose to compound your Dividends, the ETC you have earned from others will be used to buy more Points, thus meaning you could earn more at a faster rate.
Withdraw Dividends
If you build up a nice amount of Dividends, you may choose not to buy more Points, but instead withdraw the ETC to your wallet. Should this be what you desire, tapping "Withdraw Dividends" is your answer.
Activate Divies
Divies is a Smart Contract connected to Commonwealth, which receives ETC and distributes it to holders of Points. One can contribute to Divies either by sending ETC directly to it's Contract Address, or by using a Dapp or service like the Broadcaster.
Activate RainMaker
RainMaker is a special Smart Contract: It provides a guaranteed Price Floor for the Commonwealth Vault - RainMaker can only buy and receive more Points - it can never sell, spend or send them anywhere at all. Learn More Here via the Medium Post about Rainmaker.


Location of origin: Bee Cave, Texas, USA
Job: Area Denial
Motto: "I like to make things"
The Engineer is a soft-spoken, amiable Texan with an interest in all mechanical things. He specializes in constructing and maintaining Buildings that provide support to his team, rather than fighting at the front lines, making him the most suitable for defense. The Engineer's various gadgets include the Sentry Gun, an automated turret that fires at any enemy in range, the Dispenser, a device that restores the health and ammunition of nearby teammates, and Teleporters that quickly transport players from point A to point B.
Because the Engineer's ingenious devices are under constant threat from explosives and devious enemy Spies, a good Engineer must keep his gear under a watchful eye and under repair with his Wrench at all times. When the Engineer needs to get his hands dirty, his trio of generic yet capable weapons, along with the assistance of his helpful hardware, make him more than capable of holding his own in a fight. If need be, the Engineer can even pick up and haul constructed buildings to redeploy them in more favorable locations. While usually viewed as a defensive class, the Engineer has a selection of high-tech weapons that allow him to destroy projectiles or to build faster-deploying, less damaging Sentry Guns, which give him great utility at the front lines too. His Teleporters are also a key point to both the offensive and defensive team's success, allowing slower, heavier classes to reach the front-lines quicker.


▴click on the icons to see the skills I used▴
▴ Designed and implemented a Socket-based communication server which allows users to maintain personal profile, chat with another person, create a private group and chat within a group using command lines.
▴ Designed and set up a database for the server to store all user and group data and chat history using Postgres.
▴ Designed and built a game program where users play several popular card games such as Go-Fish and Blackjack, with customizable decks and player features.
▴ Designed and built a game program where users play several popular card games such as Go-Fish and Blackjack, with customizable decks and player features.
▴ Tested and used this helper to earn 5% profit for each arbitrage session.
▴ Implemented a notification program to retrieve VIX (CBOE Volatility Index) data and send E-mails when certain conditions are triggered for trading.
▴ Caught 100% targeted changes at the earliest time.


Issue: ISO-COMPATIBILITYForum: X3J13 Letter Ballot
References: ISO SC22/WG16 Committee Draft
Category: CHANGE
Edit history: 16-Jun-93, Version 1 by Pitman
Status: Proposal ADD-SUBSTRATE passed 8-3 on letter ballot 93-304.
Problem Description:
The ISO specification for ISLISP contains features which cannot be
straightforwardly implemented in ANSI Common Lisp, but that with
minor changes could be.
Proposal (ISO-COMPATIBILITY:ADD-SUBSTRATE)
1. Add a new macro:
DEFINE-SYMBOL-MACRO name form [Macro]
Globally defines a symbol macro named <name> which expands
to <form>.
2. Add a new macro:
LAMBDA lambda-list &body declarations-and-forms [Macro]
The form (lambda ...) is shorthand for #'(lambda ...).
Test Case:
Sample code to better illustrate the issue goes here.
Rationale:
This makes it possible to implement ISO's ISLISP dialect entirely
in portable code.
1. DEFINE-SYMBOL-MACRO can be used to define global lexicals,
by having a global lexical be a symbol macro that expands
into a reference to a globally allocated cell that is not
subject to dynamic binding.
DEFINE-SYMBOL-MACRO can also be used to define the ISLISP
notion of a compiler constant, which is a variable that
cannot be assigned but that CAN be bound. The implementation
is the same as for global lexicals, except that the expansion
form is not SETF-able.
2. A LAMBDA, although conceptually trivial, cannot be defined by
users because issue LISP-SYMBOL-REDEFINITION places restrictions
on users' ability to add definitions to symbols in the CL package.
Also, each of these features is independently useful in its own right.
1. DEFINE-SYMBOL-MACRO has been requested by some users.
For example, see Public Review comment Pitman #10.
Some users have also requested global lexicals,
especially those from the Scheme community.
For example, see Public Review comment Loosemore #30.
Some users have also requested ISLISP-style constants,
especially those from the Eulisp community.
For example, see Public Review comment Dalton #4.
2. A LAMBDA macro has been requested by many users,
especially, but not at all exclusively, those from the
Scheme and Eulisp communities.
Issue LAMBDA-FORM previously failed before this committee,
however at a time when the compatibility issue with other
Lisp standards was not as great a concern. It's appropriate
that the concept be reconsidered again here in this new light.
Current Practice:
1. Symbolics Genera provides DEFINE-SYMBOL-MACRO as an
implementation-depednent extension.
2. Symbolics Genera has long provided a LAMBDA macro, which was
permitted as an extention under CLtL, but not the dpANS. Users
were upset when this was not only taken away from them, but they
were forbidden from creating it anew. (It's quite a complicated
symbol to be shadowing.)
Most Lisp dialects don't provide a LAMBDA macro since doing so
would be a violation of the spec.
Cost to Implementors:
1. Relatively small.
2. Very small.
(DEFMACRO LAMBDA (&WHOLE FORM &REST BVL-DECLS-AND-BODY)
(DECLARE (IGNORE BVL-DECLS-AND-BODY))
`#',FORM)
Cost to Users:
1. None. (This change is upward compatible.)
2. Very small. (Mostly the need to remove any compatibility definition
they might already have, in spite of warnings that they should not
have such a thing.)
Cost of Non-Adoption:
The relation of ANSI CL to ISLISP would be difficult to explain. Neither is
a subset of the other, so they would appear as competing dialects and it might
be a hassle for some vendors to explain off the lack of coordination.
Benefits:
If we can say that ANSI CL is capable of implementing ISLISP,
then ISLISP becomes a substantially reduced threat in some situations.
Editorial Impact:
Relatively small.
1. Changes to the description of how symbol macros are processed.
A new dictionary entry for the DEFINE-SYMBOL-MACRO macro.
2. A new dictionary entry for the LAMBDA macro.
Aesthetics:
1. Having DEFINE-SYMBOL-MACRO as a companion to SYMBOL-MACROLET seems
to make things simpler to explain, since users often expect there
to be both definers and binders for things in the environment.
2. People are mixed on the aesthetics of this:
- Some people think a LAMBDA form is massively more aesthetic.
- Some people think LAMBDA is something primitive, not something
to be layered on as an afterthought with macro technology.
- Some people think having both (LAMBDA ...) and #'(LAMBDA ...)
is extra baggage that look silly.
- Some people think having both (LAMBDA ...) and #'(LAMBDA ...)
provides expressional flexibility to two camps who won't be
content to settle on a single solution.
- Some people think having (LAMBDA ...) brings them uncomfortably
close to having to fight the Lisp1/Lisp2 battle over again.
- Some people think having (LAMBDA ...) only makes sense in the
Lisp1 context.
- Some people think having (LAMBDA ...) ameliorates one of the
aggravating problems seen by Lisp1-fans, which is the need to
write #' in front of things. It doesn't get rid of all of them,
but it does get rid of many.
- Some people think that not having to write #'(LAMBDA ...) may
lead to further confusion down the road in understanding why the
car of a form is treated differently than other parts of the form.
There is not likely to be consensus from an absolute point of view
on this. It is clear that there is no way to optimize aesthetic
criteria related to LAMBDA in a way that satisfies everyone.
Pitman thinks this means that people should prefer to add the macro
since it permits maximal flexibility of style to users at extremely
low cost to implementors.
Discussion:
This comment addresses the following Public Review comments:
Dalton #4
Pitman #10
Pitman #32
Loosemore #30
Pitman strongly supports this proposal.
The data for this proposal was generated from an experiment:
As a test, since the dialects were similar, Pitman implemented an
approximate version of ISLISP in Common Lisp. The exercise took
only a few hours to code up. In a few places, Pitman had to use
implementation-specific techniques to compensate for missing
functionality. The items mentioned in this proposal are the things
he would have needed in Common Lisp in order not to have needed
implementation-specific substrate.
It's arguable that things like QUASIQUOTE, UNQUOTE, and
UNQUOTE-SPLICING should appear in this proposal as well. However,
technically, those can be written straightforwardly in CL, so they
were omitted for reasons of minimalism in order to improve the
likelihood of this passing. However, we might want to seriously
consider them separately since they did get mentioned in other Public
Review comments as a compatibility issue for Scheme users.


Carlo Abril
Home
Experience
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a lot of experience with animation and 3d data to create 3d works and digital art


Preparation time
less than 30 mins
Cooking time
10 to 30 mins
Serves
Serves 4
Scallops are expensive and require careful cooking to preserve their delicate texture, so take care not to overcook them. Serve with boiled new potatoes.
Mix the turmeric and flour together in a bowl. Dip the top of the scallops in the mixture and shake off any excess.
Heat the oil in a frying pan over a high heat. Add 30g/1oz butter. When melted, cook the scallops floured-side down for 1-2 minutes or until golden-brown.
Turn over the scallops and season with a little salt. Cook until just coloured (about 30 seconds to a minute), then remove from the pan and keep warm.
Drain half the fat from the pan, add the shallot and fry gently until soft but not coloured. Add the wine and bring to the boil. Cook until the volume of liquid has reduced by two-thirds. Add the stocks and reduce again by half. Add the cream and reduce to a sauce consistency. Season with salt and freshly ground black pepper. Beat in 80g/3oz butter until the sauce is smooth and glossy.
Meanwhile, finely shred a quarter of the watercress leaves and set aside. In a clean pan, melt the remaining 30g/1oz butter. Add all the remaining watercress, season with salt, pepper and nutmeg and cook until the watercress is wilted. Remove from the heat and drain.
To serve, put the cooked watercress in the middle of four serving plates and surround each with three scallops. Add the shredded watercress to the sauce and pour around the scallops.


Anonymous User
This is the onboarding process for an anonymous user. Examples are or those users who went directly to website or referrals.
---
title: ProperTax | The best way to protest property tax.
description: We use modern technology to win.
---
Using modern technology to win.
The best way to protest your property tax.
This is the onboarding process for an anonymous user. Examples are or those users who went directly to website or referrals.
This is the onboarding process for a known user. These are individuals who received mailers and a personalized URL (PURL). Can be accessed via PURL or QR code.


I have found my passion for coding and Artificial Intelligence during my undergraduate study in biomedical engineering. So I got into a Master's of Science in Artificial Intelligence at Amirkabir University of Technology(Tehran Polytechnic). I have studied many AI and ML approaches since then and have coded many projects using them. In this blog, I will demonstrate some of them.
I have code in many languages. The first coding language I learned is C++, and I have used it in various projects. I have mastered python for data science projects. I also have been working as an android developer using Java. In my recent projects, I have combined my passion for AI in android software development. I have made several AI-powered android apps.
I found my passion for coding in highschool and been coding since. I excel at Python, Java and C++.
I have been utilizing many tools like Tensorflow, Tensorflow Lite, OpenCV, Android studio and Github in my projects.
In this project, I developed an android program to read Iranian credit card numbers and expiration dates from the device's camera utilizing Tensorflow-Lite.
I trained three convolutional neural networks for this task. My first CNN network searched the image and reported the place of credit card number and expiration date. I trained the other 2 CNN networks to read the credit card number and expiration date.
After training the network, I developed a smooth android app to open the device camera to take images and process these images in the background. Then I created an Android library for opening the camera and processing them using TensorFlow.
Check it out


ICSE ISC
Cambridge School is one of the renowned and top ranking ICSE schools in Aurangabad, Maharashtra. Being in the “Numero Uno” position, Cambridge school offers a live learning experience for each student from Jr. Kg to class XI while moulding their path towards a bright future.
The imposing colonial style building is equipped with airy classrooms, sports facilities, spacious playgrounds, science & computer labs, audio-visual rooms etc. We have trained & qualified faculty and an unbeatable administration staff who work in tandem to give our students prime education which inculcates an attitude of consistent learning in them. Every Cambridge student participates in a lot of co-curricular activities which nurture their creative approach towards discovering the best version of themselves.
The classrooms are well equipped with all the essential learning materials, well ventilated and brightly coloured which help the students to focus and take interest in their studies.
To support theoretical teaching in Physics, Chemistry, Biology, Maths, Computer Applications, and English language, the school has well-equipped and separate laboratories.
To inculcate the habit of reading in the young minds, we encourage our students to make the full use of our spacious, airy, well -lit & fully furnished library.
The school has a state of the art auditorium with a stage, anterooms, an orchestra pit and a seating capacity of 800 students. It is the preferred venue to conduct events on special occasions.
A fleet of buses is maintained by the school to provide transport facilities to students and teachers to commute to and fro. The buses are managed by caring and trained staff.
Keeping in mind the habit of healthy eating, our school provides lunch in the campus as per a healthy eating plan. The school has in-house cooks who prepare hygienic and tasty meals.


Lifeline Pregnancy Help Clinic offers this free 3-day abstinence education program, ideal for health classes. Pure Freedom is open to all area middle and high schools.
Pure Freedom:
- Addresses issues such as drug and alcohol use, peer pressure and unhealthy relationships, and other behaviors that might affect student success.
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- Is remarkably relevant and helpful to every student in class—both those who have and have not been sexually active.
To schedule, contact Sarah Hodges, Abstinence Educator at<EMAIL_ADDRESS>The students “wanted and needed help with how to develop and
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-Joneen Mackenzie, RN, BSN President/Founder of W.A.I.T


{% extends 'layout.html' %} {% block body %}
Hi! We have recived an request to reset your Instagrame-Clone Password. if you haven't issued this request ignore this email


The openejb dynamic datasource api aims to allow to use multiple data sources as one.
It can be useful for technical reasons (load balancing for example) or functionnal reasons (filtering, aggregation, enriching...).
The interface Router (org.apache.openejb.resource.jdbc.Router) have only one method to get the datasource to use:
Router.getDataSource()
The org.apache.openejb.resource.jdbc.RoutedDataSource wraps a classical data source. It has to be used to declare your datasource.
You can implement all the policy you want in your Router implementation.
A class called org.apache.openejb.resource.jdbc.AbstractRouter is available to ease router development.
You have to use the same kind of databases (same version, same configuration...).
All database have to be created when you use the router. The way to do it automatically can depend of your JPA provider.
OpenJPA initializes its database when the entitymanager is called for the first time so you need to initialize all your proxied datasource before using the other one. It can be done using an Init EJB doing a find() on each proxied datasource.
Hibernate initializes the database when it starts so if you declare a persistence unit by database all databases will be initialized at the start up.
You want to use only one datasource in the code but you have a criteria to set to choose the real database to use between three.
So in your code you want something like:
public class RoutedEJBBean {
@PersistenceContext(unitName = "router")
private EntityManager em;
// this router is not automatic, we
// need it to select the database to use
@Resource(name = "My Router")
private DeterminedRouter router;
public void persist(int id, String name, String clientDatasource) {
router.setDataSource(clientDatasource);
em.persist(new Person(id, name));
}
}
The router will simply manage a map to store proxied datasources and a field to store the datasource used in the current thread (ThreadLocal).
public class DeterminedRouter implements Router {
private String dataSourceNames; // used to store configuration (openejb.xml)
private String defaultDataSourceName; // defautl data source name
private Map<String, DataSource> dataSources = null; // proxied data sources
private ThreadLocal<DataSource> currentDataSource = new ThreadLocal<DataSource>(); // the datasource to use or null
/**
* @param datasourceList datasource resource name, separator is a space
*/
public void setDataSourceNames(String datasourceList) {
dataSourceNames = datasourceList;
}
/**
* lookup datasource in openejb resources
*/
private void init() { // looking up datasources declared as proxied
dataSources = new ConcurrentHashMap<String, DataSource>();
for (String ds : dataSourceNames.split(" ")) {
ContainerSystem containerSystem = SystemInstance.get().getComponent(ContainerSystem.class);
Object o = null;
Context ctx = containerSystem.getJNDIContext();
try {
o = ctx.lookup("openejb:Resource/" + ds);
if (o instanceof DataSource) {
dataSources.put(ds, (DataSource) o);
}
} catch (NamingException ignore) {
}
}
}
/**
* @return the user selected data source if it is set
* or the default one
* @throws IllegalArgumentException if the data source is not found
*/
public DataSource getDataSource() {
// lazy init of routed datasources
if (dataSources == null) {
init();
}
// if no datasource is selected use the default one
if (currentDataSource.get() == null) {
if (dataSources.containsKey(defaultDataSourceName)) {
return dataSources.get(defaultDataSourceName);
} else {
throw new IllegalArgumentException("you have to specify at least one datasource");
}
}
// the developper set the datasource to use
return currentDataSource.get();
}
/**
*
* @param datasourceName data source name
*/
public void setDataSource(String datasourceName) {
if (dataSources == null) {
init();
}
if (!dataSources.containsKey(datasourceName)) {
throw new IllegalArgumentException("data source called " + datasourceName + " can't be found.");
}
DataSource ds = dataSources.get(datasourceName);
currentDataSource.set(ds);
}
public void setDefaultDataSourceName(String name) {
this.defaultDataSourceName = name;
}
}
To be able to use your router add a file called service-jar.xml under
META-INF/
This file will contain something like:
<ServiceJar>
<ServiceProvider id="DeterminedRouter" service="Resource"
type="org.apache.openejb.resource.jdbc.Router" class-name="implementation class">
Param defaultValue
ParamWithNoDefaultValue
</ServiceProvider>
</ServiceJar>
In the openejb.xml file, you have to declare your dynamic database and in our example it needs the proxied datasources too:
<Resource id="router" type="<your implementation>" provider="<your provider>">
Param value
</Resource>
<Resource id="route db" type="DataSource" provider="RoutedDataSource">
Router router
</Resource>
<!–- real databases – for our example -->
<Resource id="db1" type="DataSource">
JdbcDriver org.hsqldb.jdbcDriver
JdbcUrl jdbc:hsqldb:mem:db1
UserName sa
Password
JtaManaged true
</Resource>
<Resource id="db2" type="DataSource">
JdbcDriver org.hsqldb.jdbcDriver
JdbcUrl jdbc:hsqldb:mem:db2
UserName sa
Password
JtaManaged true
</Resource>
<Resource id="db3" type="DataSource">
JdbcDriver org.hsqldb.jdbcDriver
JdbcUrl jdbc:hsqldb:mem:db3
UserName sa
Password
JtaManaged true
</Resource>


| Module | ActiveRecord::Transactions |
| In: |
/usr/lib/ruby/gems/1.8/gems/activerecord-3.0.0.beta4/lib/active_record/transactions.rb
|
See ActiveRecord::Transactions::ClassMethods for documentation.
Add the record to the current transaction so that the :after_rollback and :after_commit callbacks can be called.
# File /usr/lib/ruby/gems/1.8/gems/activerecord-3.0.0.beta4/lib/active_record/transactions.rb, line 271 271: def add_to_transaction 272: if self.class.connection.add_transaction_record(self) 273: remember_transaction_record_state 274: end 275: end
Reset id and @new_record if the transaction rolls back.
# File /usr/lib/ruby/gems/1.8/gems/activerecord-3.0.0.beta4/lib/active_record/transactions.rb, line 244 244: def rollback_active_record_state! 245: remember_transaction_record_state 246: yield 247: rescue Exception 248: restore_transaction_record_state 249: raise 250: ensure 251: clear_transaction_record_state 252: end
See ActiveRecord::Transactions::ClassMethods for detailed documentation.
# File /usr/lib/ruby/gems/1.8/gems/activerecord-3.0.0.beta4/lib/active_record/transactions.rb, line 225 225: def transaction(&block) 226: self.class.transaction(&block) 227: end
Executes method within a transaction and captures its return value as a status flag. If the status is true the transaction is committed, otherwise a ROLLBACK is issued. In any case the status flag is returned.
This method is available within the context of an ActiveRecord::Base instance.
# File /usr/lib/ruby/gems/1.8/gems/activerecord-3.0.0.beta4/lib/active_record/transactions.rb, line 283 283: def with_transaction_returning_status 284: status = nil 285: self.class.transaction do 286: add_to_transaction 287: status = yield 288: raise ActiveRecord::Rollback unless status 289: end 290: status 291: end
Clear the new record state and id of a record.
# File /usr/lib/ruby/gems/1.8/gems/activerecord-3.0.0.beta4/lib/active_record/transactions.rb, line 309 309: def clear_transaction_record_state #:nodoc 310: if defined?(@_start_transaction_state) 311: @_start_transaction_state[:level] = (@_start_transaction_state[:level] || 0) - 1 312: remove_instance_variable(:@_start_transaction_state) if @_start_transaction_state[:level] < 1 313: end 314: end
Save the new record state and id of a record so it can be restored later if a transaction fails.
# File /usr/lib/ruby/gems/1.8/gems/activerecord-3.0.0.beta4/lib/active_record/transactions.rb, line 296 296: def remember_transaction_record_state #:nodoc 297: @_start_transaction_state ||= {} 298: unless @_start_transaction_state.include?(:new_record) 299: @_start_transaction_state[:id] = id if has_attribute?(self.class.primary_key) 300: @_start_transaction_state[:new_record] = @new_record 301: end 302: unless @_start_transaction_state.include?(:destroyed) 303: @_start_transaction_state[:destroyed] = @destroyed 304: end 305: @_start_transaction_state[:level] = (@_start_transaction_state[:level] || 0) + 1 306: end
Restore the new record state and id of a record that was previously saved by a call to save_record_state.
# File /usr/lib/ruby/gems/1.8/gems/activerecord-3.0.0.beta4/lib/active_record/transactions.rb, line 317 317: def restore_transaction_record_state(force = false) #:nodoc 318: if defined?(@_start_transaction_state) 319: @_start_transaction_state[:level] = (@_start_transaction_state[:level] || 0) - 1 320: if @_start_transaction_state[:level] < 1 321: restore_state = remove_instance_variable(:@_start_transaction_state) 322: if restore_state 323: @new_record = restore_state[:new_record] 324: @destroyed = restore_state[:destroyed] 325: if restore_state[:id] 326: self.id = restore_state[:id] 327: else 328: @attributes.delete(self.class.primary_key) 329: @attributes_cache.delete(self.class.primary_key) 330: end 331: end 332: end 333: end 334: end
Determine if a transaction included an action for :create, :update, or :destroy. Used in filtering callbacks.
# File /usr/lib/ruby/gems/1.8/gems/activerecord-3.0.0.beta4/lib/active_record/transactions.rb, line 342 342: def transaction_include_action?(action) #:nodoc 343: case action 344: when :create 345: transaction_record_state(:new_record) 346: when :destroy 347: destroyed? 348: when :update 349: !(transaction_record_state(:new_record) || destroyed?) 350: end 351: end
Determine if a record was created or destroyed in a transaction. State should be one of :new_record or :destroyed.
# File /usr/lib/ruby/gems/1.8/gems/activerecord-3.0.0.beta4/lib/active_record/transactions.rb, line 337 337: def transaction_record_state(state) #:nodoc 338: @_start_transaction_state[state] if defined?(@_start_transaction_state) 339: end


LEAN supports over 100 pre-built indicators, but a custom indicator is an indicator you define. It receives input, performs some calculation, and sets its output value. Custom indicators are helpful when you want to achieve any of the following results:


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Canon EOS 70D Digital SLR Camera with 18-135mm STM Lens
Price: $1,349.00
Supplier: cannon
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Canon EOS 70D Digital SLR Camera with 18-135mm STM Lens
Price: $1,349.00
Supplier: cannon
Add To Cart
Canon EOS 70D Digital SLR Camera with 18-135mm STM Lens
Price: $1,349.00
Supplier: cannon
Add To Cart
Canon EOS 70D Digital SLR Camera with 18-135mm STM Lens
Price: $1,349.00
Supplier: cannon
Add To Cart
Canon EOS 70D Digital SLR Camera with 18-135mm STM Lens
Price: $1,349.00
Supplier: cannon
Add To Cart


The principle of working collaboratively with a Git repository is similar to a review process for papers; you do your work; you share it (in this case, via Github), and then ask someone to review your work. There are various recommended approaches for this cycle which are described over here. However, the contribution/review cycle described here is loosely based on the Git feature branch workflow; you can read more about this here. Our process is described below.
The first step would be to get the website up-and-running locally on your machine. I’ve included instructions below for installation on a Mac (as we all have Macs I think). You need to install the following bits of software first:
Ruby version 2.5.0
or higher, which you can do from here (once completed, use ruby -v
to confirm installation).RubyGems
, which you can do from here (once completed, run gem -v
to confirm installation).GCC
, which you can do from here (once completed, run gcc -v
or g++ -v
to confirm installation).Make
, which you can do from here (once completed, run make -v
to confirm installation).Note that you can also install the first two using homebrew,
Once you’ve sorted all that out, you can build the website locally. This process starts by cloning the repository using:
git clone https://github.com/multiscaleflowx/multiscaleflowx.github.io.git
Then install any additional Ruby dependencies by running bundle install
from within the downloaded directory. After this, the site can be be built with:
bundle exec jekyll build
To view the site, run bundle exec jekyll serve
and point a browser to http://localhost:4000/
. You should see a local version of this website in your browser that is identical to the live version.
After cloning the repository as described above, you may wish to make changes. In the git feature branch workflow procedure, you start off by creating a branch and then editing the files. It is recommended to make a new branch with a reasonably descriptive name, such as:
git checkout -b README_edits_authorname
Then, you can add the file, make a commit with a commit message, and then push your changes to origin (please branch name is the current branch). For example, if you made changes to README.md file, then you do the following:
git add README.md
git commit
git push origin README_edits_authorname
To have your changes merged to the master branch, you should open a PR (pull request) on Github and tag someone to review your contributions. Address their comments, if any, and then the reviewer will merge the PR if all is good.
To review someone’s changes, you should cd
into your local copy of this repository pull all branches so you have a local copy of all remote branches. This is done by:
git pull --all
Then, you can checkout the relevant branch and rebuild to see how their changes look/work. You can also push changes back to that branch as a reviewer or leave a comment on Github for the main author to make changes.


Plot of k I S ( t ) under an optimal-control strategy in which the boundary is attained. Control parameters: n = 6 , u m a x = 0 . 68 . Cost: J m i n ≈ 146 . 5 . Similar results are found for other values of n , e.g. with n = 12 an eight-peak plot is obtained with J m i n ≈ 129 . 6 .


org.apache.xerces.validators.schema.identity
Class IDValue
java.lang.Object
|
+--org.apache.xerces.validators.schema.identity.IDValue
- public class IDValue
- extends java.lang.Object
Stores a value associated with a particular field of an identity constraint that
has successfully matched some string in an instance document.
This class also stores the DatatypeValidator associated
with the element or attribute whose content is the string
in question; this must be done here because type determination is
dynamic.
This class also makes it its business to provide
functionality to determine whether two instances are duplicates.
- Author:
- Neil Graham, IBM
|
Method Summary |
boolean |
isDuplicateOf(IDValue value)
Returns whether the supplied IDValue is a duplicate of this IDValue. |
java.lang.String |
toString()
|
| Methods inherited from class java.lang.Object |
clone,
equals,
finalize,
getClass,
hashCode,
notify,
notifyAll,
wait,
wait,
wait |
fValue
protected java.lang.String fValue
fValidator
protected DatatypeValidator fValidator
IDValue
public IDValue(java.lang.String value,
DatatypeValidator val)
isDuplicateOf
public boolean isDuplicateOf(IDValue value)
- Returns whether the supplied IDValue is a duplicate of this IDValue.
It is a duplicate only if either of these conditions are true:
- The Datatypes are the same or related by derivation and
the values are in the same valuespace.
- The datatypes are unrelated and the values are Stringwise identical.
- Parameters:
value
- The value to compare.
once within a selection scope.
toString
public java.lang.String toString()
- Overrides:
- toString in class java.lang.Object
Copyright © 1999-2001 Apache XML Project. All Rights Reserved.


From:Geaccone To:Hayslett Sent:2017-01-11T04:39:47.0000000Z Subject:RE: Proposed Meeting next Thursday
okey. I already responded that I could not meet on Friday. Since we will be out of the office, I will need the extra time.
-----Original Message-----
From: Hayslett, Rod
Sent: Monday, October 08, 2001 6:36 AM
To: Geaccone, Tracy
Subject: RE: Proposed Meeting next Thursday
I think she is talking about friday am!
-----Original Message-----
From: Geaccone, Tracy
Sent: Friday, October 05, 2001 4:29 PM
To: Svatos, Dee; Campos, Kathy
Cc: Hayslett, Rod
Subject: RE: Proposed Meeting next Thursday
We leave the Enron hanger to fly to Portland at 7:30 that morning.
-----Original Message-----
From: Svatos, Dee
Sent: Friday, October 05, 2001 4:28 PM
To: Campos, Kathy
Cc: Geaccone, Tracy; Hayslett, Rod
Subject: RE: Proposed Meeting next Thursday
Rod and Tracy:
Would you be able to meet with Jerry before the Budget Meeting with Mr. Horton? Jerry said that a breakfast meeting would work for him. Please let me know at your earliest convenience. FYI, Jerry will be staying at the Doubletree Hotel the night before (Oct. 11).
Thank you, both.
Dee
-----Original Message-----
From: Campos, Kathy
Sent: Friday, October 05, 2001 10:59 AM
To: Svatos, Dee
Cc: Geaccone, Tracy; Hayslett, Rod
Subject: RE: Proposed Meeting next Thursday
Dee,
Rod and Tracy will not be in the office on Thursday, October 11. The are attending a budget review in the Portland office. They can probably meet Friday morning before the budget meeting with Stan. Let me know.
Thanks,
Kathy
-----Original Message-----
From: Svatos, Dee
Sent: Friday, October 05, 2001 9:02 AM
To: Hayslett, Rod; Geaccone, Tracy
Cc: Campos, Kathy
Subject: Proposed Meeting next Thursday
Rod and Tracy:
Jerry Peters would like to meet with you on Thursday, October 11, upon his arrival in Houston. Jerry is scheduled to land in Houston at 2:39 pm, so he suggested scheduling a meeting at 4:00 p.m. Topic of discussion is Northern Border SAP Charges for 2001.
Please let me know if you would be available to meet with Jerry at 4:00 p.m. on Thursday, October 11.
Thank you.
Dee
***********
EDRM Enron Email Data Set has been produced in EML, PST and NSF format by ZL Technologies, Inc. This Data Set is licensed under a Creative Commons Attribution 3.0 United States License <http://creativecommons.org/licenses/by/3.0/us/> . To provide attribution, please cite to "ZL Technologies, Inc. (http://www.zlti.com)."
***********
California