You have probably heard about Lambda calculus, right? Basically everything you have there is lambdas. And to do anything with them it is nice to use Church encoding, which is a way to represent natural numbers, booleans, conditionals and simple data structures using only lambdas.
Another fact: in Scala we have Higher-kinded types which are basically typelevel functions(they are one from another). So the question is: can we implement Church encoding using only types, so all the computations are done during compilation? Spoiler: YES, WE CAN!. Let’s see how.
Type Lambda
To start doing anything we need to declare something that will help us abstract over type functions:
// equivalent to something like type TL = TL => TL
trait TL {
type Apply[T <: TL] <: TL
}
In lambda calculus everything is a function, so this why TL#Apply
argument has upper bound of TL
. Now we can do fancy stuff like this:
type func1 <: TL = ...
type arg1 <: TL = ...
type result = func1#Apply[arg1] // equiv. to val result = func1(arg1)
How can we use “instantiate” such type lambda? Here are some examples:
// equiv. to val identity = (x:TL) => x
// λx.x
type Identity = TL {
type Apply[T <: TL] = T
}
// equiv. to def const(a: TL) = (_:TL) => a
// λa.λt.a
type Const[A <: TL] = TL {
type Apply[T <: TL] = A
}
Church encoding examples
Here are some examples of how to implement elements of Church encoding:
Bools
// λa.λb.a
type True = TL {
type Apply[A <: TL] = TL {
type Apply[B <: TL] = A
}
}
// λa.λb.b
type False = TL {
type Apply[A <: TL] = TL {
type Apply[B <: TL] = B
}
}
// λp.λq.p q p
type And = TL {
type Apply[P <: TL] = TL {
type Apply[Q <: TL] = P#Apply[Q]#Apply[P]
}
}
Natural numbers
// λf.λx.x
type Zero = TL {
type Apply[F <: TL] = TL {
type Apply[X <: TL] = X
}
}
// λn.λf.λx.f (n f x)
type Succ = TL {
type Apply[N <: TL] = TL {
type Apply[F <: TL] = TL {
type Apply[X <: TL] = F#Apply[N#Apply[F]#Apply[X]]
}
}
}
// λm.λn.λf.λ
type Plus = TL {
type Apply[M <: TL] = TL {
type Apply[N <: TL] = TL {
type Apply[F <: TL] = TL {
type Apply[X <: TL] = M#Apply[F]#Apply[N#Apply[F]#Apply[X]]
}
}
}
}
BORING !!!
Yes, this is boring, because once we know the pattern, implementing next elements is just translating text from wikipedia. So I have done that for you and almost all encodings are available on github as Krever/sturch-encodings. If you’re interested in details feel free to go there(it consists of 5 files, so don’t be scared). The library also contains very simple reflection-based parser for such encodings(so we can print it or convert to realt int/boolean).
The most complicated type available there is Predecessor
defined like this:
// λn.λf.λx.n (λg.λh.h (g f)) (λu.x) (λv.v)
type Pred = TL {
type Apply[N <: TL] = TL {
type Apply[F <: TL] = TL {
type Apply[X <: TL] = N#Apply[TL {
type Apply[G <: TL] = TL {
type Apply[H <: TL] = H#Apply[G#Apply[F]]
}
}]#Apply[TL {
type Apply[U <: TL] = X
}]#Apply[TL {
type Apply[V <: TL] = V
}]
}
}
}
If you don’t understand, don’t worry, neither do I. But it works :)
What can we do with it?
I have to admit, this almost completely useless. Lambda Calculus on value level doesn’t have many applications, and when we go to the type level it is even more impractical.
But anyway, it is fun and creating this was nice exercise in type level programming . With some additional syntactic sugars we can write code like this:
import sturch.nats._
import sturch.bools._
type x = Plus[`3`, `4`]
type y = Mult[`3`, `2`]
type `IsTypelevelProgrammingFun?` = Not[EQ[x, y]]
type result = If[`IsTypelevelProgrammingFun?`, Mult[x, y], Zero]
So we can solve almost any problem without running our program! We don’t have loops, but who needs them anyway. And one more time we have proven that Scala type system is turing complete.


-
Command-Line Basics
NO THIS DOESN'T MEAN YOU'RE A HACKER...

Jan 03, 2016
-
Intro To CSS
MAN, YOU GOT SO MUCH STYLE...
Jan 18, 2016
-
Arrays And Hashes
Let's Get Some KFC...
Jan 24, 2016
-
SMART DRUGS
WORK ALL NIGHT, TILL THE BREAK OF DAWN!
Jan 24, 2016
-
Don't Hate, Enumerate
WE'RE GUNNA MAKE A DRUM-MACHINE!
Jan 30, 2016
-
Making Ruby Classes
WERE GOIN DOWN TO SOUTH PARK!
FEB 02, 2016
-
Ruby Vs. JavaScript Prototypes
LETS GET READY TO RUMBLE!
02/14/2016
-
How Computer Memory Works
WAIT...WHAT?...
02/21/2016
-
How To Use The Zip Method
LETS ASSIMALATE SOME ARRAYS
02/21/2016


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FCS Reporting
HH Surveyed
*The total more than HH Surveyed
Acceptable
Border Line
Poor
Acceptable PMD
Border Line PMD
Poor PMD


--- layout: post title: Manage your libraries with symlinks on Windows date: 2011-08-16 16:22:55.000000000 +02:00 type: post parent_id: '0' published: true password: '' status: publish categories: - Development - Reinventing the wheel tags: - DLL hell - GCC - Visual Studio - windows meta: _edit_last: '3997956' reddit: a:2:{s:5:"count";s:1:"0";s:4:"time";s:10:"1340335905";} _wpas_done_linkedin: '1' author: login: geaaal email<EMAIL_ADDRESS>display_name: Géal first_name: '' last_name: '' ---
My Windows development environment is a bit complex. I work on multiple projects, at multiple versions, with different compiler environments, and with dependencies on different libraries and versions of these libraries.
Now, how do I specify where the compiler must search the libraries, and which version to use? Most of the time, I will add it directly in the project configuration. Easy at first, but quickly,I find myself writing by hand the path to each library (and header) in each project and each configuration of this project. And then, writing by hand the different names of the libraries (mylibrary.lib, mylibraryd.lib, mylibrary-static.lib, mylibrary-MTD.lib, etc).
And when I want to update to a new version of the library? If I'm lucky, I just have to change the library and header paths (in every project using the library). If not, I also have to change the name, because of the library developer's convention.
The first solution to these problems was to use a batch file to launch Visual Studio and MSYS, and set some environment variables in this file. I quickly ended up with one big file containing two environment variables (include path and lib path) per library, possibly more if there were some big changes in the library names. My Visual Studio configuration was cluttered with $(MYLIBRARY_LIBPATH), $(MYLIBRARY_INCLUDEPATH), $(MYLIBRARY_NAME). It is unreadable, and again, impossible to maintain.
My solution comes from the Unix world, where you have a correct organization for your development files:
Can I do that on Windows? YES \o/
Here is the trick: normal links on Windows won't work, but the mklink tool can create symlinks. And Visual Studio will recognize those as files and folders while looking for libraries.
Now, how would I organize my development environment? I chose to use (and abuse) symlinks, to create include, lib and bin folders for each project and configuration, and use generic names for the libraries.
With this setup, I only set the INCLUDE and LIB environment variables, and I use directly the library names I need.
Here is an example script I use to create different library folders for x86 and x64 libs:
[sourcecode language="text"]
echo "Building include and library directories for Windows %PLATFORM%"
@mkdir %PLATFORM%
@mkdir %PLATFORM%\include
@mkdir %PLATFORM%\lib
@mklink /D %PLATFORM%\include\boost %BOOST%\boost
@for %%i in (%BOOST%\lib\*.lib) do (mklink %PLATFORM%\lib\%%~ni.lib %%~fi)
@mklink /D %PLATFORM%\include\cpptest %CPPTEST%\include\cpptest
@for %%i in (%CPPTEST%\lib\*.lib) do (mklink %PLATFORM%\lib\%%~ni.lib %%~fi)
[/sourcecode]
I set up the BOOST and CPPTEST environment variables in another file. Then, I launch Visual Studio from another script which includes it.
There may be better ways, and that system will evolve in the future, but I'm pretty comfortable with it right now :)
Depending on my needs, I may grab from the bottom of my disk the package manager I wrote back in school, and make a big solution to download, build and link libs and personal projects. But later, I have some procrastination planned right now.


{% extends "base.html" %} {% load forms %} {% block pagetitle %}Secure Payment{% endblock %} {% block breadcrumbs %}
Please provide credit card details below to pay for this order online now (recommended).
Alternatively, you can pay by this order by cheque or bank transfer.
{% endblock %}


Class WmsInstanceLayer
WmsInstanceLayer class
- Mapbender\CoreBundle\Entity\SourceInstanceItem
- Mapbender\WmsBundle\Entity\WmsInstanceLayer
Namespace: Mapbender\WmsBundle\Entity
Author: Paul Schmidt
ORM\Entity(repositoryClass="WmsInstanceLayerRepository")
ORM\Table(name="mb_wms_wmsinstancelayer")
Located at Mapbender/WmsBundle/Entity/WmsInstanceLayer.php
Author: Paul Schmidt
ORM\Entity(repositoryClass="WmsInstanceLayerRepository")
ORM\Table(name="mb_wms_wmsinstancelayer")
Located at Mapbender/WmsBundle/Entity/WmsInstanceLayer.php
Methods summary
Magic methods summary
Properties summary
protected
integer
|
$id
$id |
|
protected
|
$sourceInstance
a source instance |
|
protected
|
$sourceItem
a source instance |
|
protected
mixed
|
$parent
|
# null |
protected
mixed
|
$sublayer
|
|
protected
mixed
|
$title
|
|
protected
boolean
|
$active
|
# true |
protected
boolean
|
$allowselected
|
# true |
protected
boolean
|
$selected
|
# true |
protected
mixed
|
$info
|
|
protected
mixed
|
$allowinfo
|
|
protected
mixed
|
$toggle
|
|
protected
mixed
|
$allowtoggle
|
|
protected
boolean
|
$allowreorder
|
# true |
protected
mixed
|
$minScale
|
|
protected
mixed
|
$maxScale
|
|
protected
string
|
$style
|
# "" |
protected
mixed
|
$priority
|


B. State Low-Income Housing; Liens
[§356D-51] Definitions. As used in this subpart, unless a different meaning clearly appears from the context:
"State low-income housing project" means any state low-income housing project or projects owned, managed, administered, or operated by the authority.
"Tenant" includes any person occupying a room, dwelling unit, living quarters, or space in any state low-income housing project, under or by virtue of any tenancy lease, license, or permit under or from the authority. [L 2006, c 180, pt of §2]


Go
View Location Examples
Your local forecast is
Seattle, WA
A slow-moving storm system will be the focus for rain and thunderstorms from the southern Plains across to the Southeast and mid-Atlantic States early this week. Locally heavy rainfall could lead to isolated flash flooding, especially in the mid-Mississippi River Valley on Tuesday. Isolated severe thunderstorms will be possible Tuesday near the Gulf Coast associated with this same storm system.
Read More...
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Current conditions at
Seattle, Seattle Boeing Field (KBFI)
Lat: 47.57 N
Lon: -122.41 W
Elev: 16ft.
A Few Clouds
45 F
7 C


Genome Annotation
The genomes provided by Ensembl Genomes contain annotation on genes and gene function that are
obtained via import of external data or use of predictive algorithms. This document outlines the
steps involved in adding annotation to a genome assembly:
- Import protein coding gene models. Ensembl Genomes does not carry out primary annotation
of protein-coding gene models. Gene models can be imported either from annotation in
INSDC sequence archive records or from
other public sources, in which case GFF
is the preferred import format. In addition, Ensembl Genomes is involved in collaborations from
which manual annotation is imported.
- Annotate non-coding gene models
- Annotate repeat features
- Annotate protein features
- Add cross-references to external data sources


- DEFAULT_HOMEPAGE - Static variable in class com.theif519.sakoverlay.Core.Fragments.Floating.WebBrowserFragment
-
- describeContents() - Method in class com.theif519.sakoverlay.POD.VideoInfo
-
- deserializeFloatingFragments() - Method in class com.theif519.sakoverlay.Core.Activities.MainActivity
-
Sets up and begins the AsyncTask.
- die() - Method in class com.theif519.sakoverlay.Core.Services.RecorderService
-
Sends the command to die, which will release any and all resources if they are currently being
held, changes its state to DEAD, stops the foreground notification, and then stops itself.
- doInBackground(Void...) - Method in class com.theif519.sakoverlay.Core.Async.FloatingFragmentDeserializer
-
In the background thread, it will directly write each JSON entry into an ArrayMap entry, for each
object in the JSONArray.
- doInBackground(<any>...) - Method in class com.theif519.sakoverlay.Core.Async.FloatingFragmentSerializer
-
Directly writes each ArrayMap entry as a JSON entry.
- doInBackground(File...) - Method in class com.theif519.sakoverlay.Core.Async.MediaThumbnailGenerator
-
For each file, it will parse information and store it in a VideoInfo file, which can be used later
to add to the VideoInfoAdapter
- doWork(T...) - Method in interface com.theif519.utils.Misc.Callbacks.GenericVarArgsWorkCallback
-
- doWork(T) - Method in interface com.theif519.utils.Misc.Callbacks.GenericWorkCallback
-
- doWork() - Method in interface com.theif519.utils.Misc.Callbacks.NoArgsCallback
-


Plusieurs Pièces de Perrault
_____
An imaginative theatre poster combining four stories—Thumbelina, Puss in Boots, Sleeping Beauty and Blue Beard. Created for the Element High School in Ottawa.


Pomme Devlog
Jan 20th, 2022
Table of Contents:
This is my devlog for Pomme (on github) for the made up course GPS 433. As such, I'll be updating this page about once every week with my progress.
(1) My Theme
I gave myself a theme for GPS 433, which is to “use known tools”. This means using the boring (yet powerful!) tools and programming languages I have experience with, rather than trendy new frameworks that claim to "solve every problem."
(2) What is Pomme?
Pomme is simple vst synth made with rust. More specifically, it's a subtractive synth designed around frequency spectrum composition.
The idea is to make a tool that enables designing different parts of the frequency spectrum separately, then combining them in a flexible way. For example, you could have a synth with a pitch bend effect, but only in the high frequency details. This situation is possible to engineer in DAWs, however it is difficult, high friction, and non-intuitive.
In addition, I want the gui to be easy to understand. My pet peeve is instruments or effects that don't have a cohesive ordering scheme for knobs and just throw them all over the place. In the end, I want the synth to be intuitive enough to be learned by watching a 15-20s video. (Hard limit)
Following is a small first iteration mockup of what I would like the gui to be laid out as:
The most important characteristic here is the path that sound takes:
- each sound grain starts at an osc
- percolates upwards as they pass through built-in effects & filters
- all trickle downwards as they're combined.
This is a natural movement (like the arc of an object thrown in the air) and so should be easy enough for anyone to intuit.
(3) Update 1
Without further adieu, here's the first update:
1. What did you do over the last week?
I managed to get a vst plugin running in hosts using the rust vst crate, a gui working using baseview, and got egui to render over baseview using an existing wrapper crate.
In addition, the plugin consists of a single polyphonic square oscillator, which I used to compose the following basic song in fl studio using nothing else except a limiter, which shows it works properly.
dance of the penguins:
2. What went well / poorly last week?
Unfortunately, I didn't get quite as much done as I had wanted, however it was surprisingly difficult to get the gui up & vst integration working. It took me a while, but I was able to find octasine which helped me setup a lot of the infastructure. Octasine is an fm vst synthesizer written in rust. In addition to being good proof that what I'm trying to do is possible, it also helped me understand the behaviour of certain functions when documentation on any of the crates was sparse.
Even before development however, I felt myself falling into the pattern of searching for the perfect library for the job again, rather than sticking with something I already know. In this case, it's chosing egui instead of iced. I picked egui because the developer of octasine intends to use egui in the future rather than iced, notably because iced suffers in performance. However, I do have experience using an imgui library, so egui luckily isn't completely new to me.
I made a small mistake with improper handling of note lenth that caused tiny errors in the square wave at the end of every block. It was a bit subtle, but I was luckily able to hear the difference, then find it in Audacity. This is a good time to mention that I'm primarily using vsthost for testing, and finding it very helpful since you can just drag in a .dll, then choose where you want the inputs & outputs to go. You can also easily record audio to look for errors in more detail.
I'm also happy with the current structure of Pomme's codebase, as it's quite easy to get the hang of what's happening & how it's laid out.
3. What are your goals for the next week?
This week I spent most of my time fighting with the compiler & learning how the vst2.4 api works. Over the next week I'd like to start with getting the gui in a usable state and add some basic features including a filter, a compressor, and multiple oscillators. I'd also like to test out automation of a few simple parameters such as global volume.
Again, I'd like to thank anyone who's taken the time to read through my ramblings. Hopefully you were able to learn something at the least!


!!!!!!!!!!!!!Take our INSANELY ACCURATE survey to find out!!!!!!!!!!!!
Disclaimer:
"Keep in mind that even though all languages have similarities and switiching between languages and platforms is very common in both internships and jobs, its good practice to put some thought in the language you would like to learn"
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uadmin.Schema¶
Back to Customizing Records Page
Schema is the global schema of the system.
Structure:
map[string]uadmin.ModelSchema
Used in the tutorial:
Examples:
Approval¶
A feature used to set an approval permission in the field
Type:
bool
Structure:
uadmin.Schema[ModelName].FieldByName("FieldName").Approval
Suppose you have “johndoe” account in the User model that is not an admin.
User permissions are set for that user in Approvals and Friends models without an approval access.
And you have the Name field in the Friend model that has a primary key of 1 as shown below:
Let’s set a feature for an approval permission in the field. In order to do that, create a schema function of Friend model where the field name is Name then access Approval.
func main(){
// Some codes
// friend - Model Name
// Name - Field Name
uadmin.Schema["friend"].FieldByName("Name").Approval = true
}
Run your application and login your account using “johndoe”.
As you can see, only the Approvals and Friends models are accessible in the dashboard. It is based on the user permission that was assigned on that user. Now click on “FRIENDS”.
Click “Add New Friend” to create a new record.
Let’s input the following field for this record.
Result
Based on the result, the name does not show up because we need an approval to someone who has approval access. Now logout johndoe account then login an admin account.
From uAdmin dashboard, go to the Friends model, click the record that you have created, and in the input box of the Name field, there is a yellow warning sign on the left side that means it needs an approval to someone who has approval access. Now click the highlighted area below.
The admin will review the record that was created by a “johndoe” user. If you think his record is satisfactory, choose Approved in Approval Action then click Save and Continue on the bottom right corner of the screen.
It is shown that the one who approved the record is an admin with an approved date. Now click View Record button to see the result.
The input Name field has a checkmark sign that means the record created by “johndoe” was approved.
CategoricalFilter¶
A section of code that is designed to process user input and output request to produce a new data structure containing exactly those elements of the original data structure in the form of combo box
Type:
bool
Structure:
uadmin.Schema[ModelName].FieldByName("FieldName").CategoricalFilter
See Filter for the example.
Choices¶
A struct for the list of choices
Type:
[]uadmin.Choice
Structure:
uadmin.Schema[ModelName].FieldByName("FieldName").Choices
Suppose you have the given source code in friend.go where Nationality is the type of the drop down list:
// Nationality ...
type Nationality int
// Chinese ...
func (Nationality) Chinese() Nationality {
return 1
}
// Filipino ...
func (Nationality) Filipino() Nationality {
return 2
}
// Others ...
func (Nationality) Others() Nationality {
return 3
}
Let’s build a choice that includes Chinese and Filipino and excludes Others. In order to do that, create a schema function of Friend model where the field name is Nationality then access Choices.
func main(){
// Some codes
// friend - Model Name
// Nationality - Field Name
uadmin.Schema["friend"].FieldByName("Nationality").Choices = []uadmin.Choice{
// K is the ID of the choice.
// V is the value of the choice.
{K: 0, V: " - "},
{K: 1, V: "Chinese"},
{K: 2, V: "Filipino"},
}
}
Run your application, go to the Friend model and click Add New Friend button on the top right corner of the screen. As expected, Chinese and Filipino choices are included in the list.
DefaultValue¶
A value assigned automatically if you want to add a new record
Type:
string
Structure:
uadmin.Schema[ModelName].FieldByName("FieldName").DefaultValue
Let’s set a feature that assigns a value automatically when creating a new record. In order to do that, create a schema function of Friend model where the field name is Nationality then access DefaultValue.
func main(){
// Some codes
// category - Model Name
// Name - Field Name
uadmin.Schema["category"].FieldByName("Name").DefaultValue = "Type here"
}
Run your application, go to the Category model and click Add New Category button on the top right corner of the screen. As expected, “Type here” value has assigned automatically in the Name field.
DisplayName¶
The name that you want to display in the model. It is an alias name.
Type:
string
Structure:
uadmin.Schema[ModelName].FieldByName("FieldName").DisplayName
Let’s replace the actual field name. In order to do that, create a schema function of Category model where the field name is Name then access DisplayName.
func main(){
// Some codes
// category - Model Name
// Name - Field Name
uadmin.Schema["category"].FieldByName("Name").DisplayName = "Display Name"
}
Run your application and go to Category model. As expected, the name has changed to “CATEGORY NAME”.
Encrypt¶
A feature used to encrypt the value in the database
Type:
bool
Structure:
uadmin.Schema[ModelName].FieldByName("FieldName").Encrypt
Suppose you have two records in the Category model as shown below:
Let’s encrypt the value of the Name field in the Category Model. In order to do that, create a schema function of Category model where the field name is Name then access Encrypt.
func main(){
// Some codes
// category - Model Name
// Name - Field Name
uadmin.Schema["category"].FieldByName("Name").Encrypt = true
}
Run your application. From your project folder, open uadmin.db with DB Browser for SQLite.
Click on Execute SQL.
Get all records by typing this command: SELECT * FROM categories then click the right arrow icon to execute your SQL command.
As expected, the Name value is encrypted in the database.
ErrMsg¶
An error message displayed beneath the input field
Type:
string
Structure:
uadmin.Schema[ModelName].FieldByName("FieldName").ErrMsg
Let’s set a feature where an error message will be displayed beneath the input Name field. In order to do that, create a schema function of Category model where the field name is Name then access ErrMsg.
func main(){
// Some codes
// category - Model Name
// Name - Field Name
uadmin.Schema["category"].FieldByName("Name").ErrMsg = "This field cannot be modified."
}
Run your application, go to the Category model and click Add New Category button on the top right corner of the screen. As expected, the error message was displayed beneath the input Name field.
Filter¶
A section of code that is designed to process user input and output request to produce a new data structure containing exactly those elements of the original data structure in the form of fill-up text
Type:
bool
Structure:
uadmin.Schema[ModelName].FieldByName("FieldName").Filter
Let’s set a feature where the user can filter the name in the Category model. In order to do that, create a schema function of Category model where the field name is Name then access Filter for input and CategoricalFilter for display.
func main(){
// Some codes
// category - Model Name
// Name - Field Name
uadmin.Schema["category"].FieldByName("Name").Filter = true
uadmin.Schema["category"].FieldByName("Name").CategoricalFilter = true
}
Run your application and go to the Category model. As expected, the combo box form highlighted on the right side is the CategoricalFilter to notify the user that the Category Name is the field that will be filtered. Now click the Filter button. Suppose you have two records as shown below:
Assign “Work” in the Category Name. Click Filter button on the bottom right corner of the modal and see what happens.
As expected, the Category record has filtered out where the name contains “Work”.
FormDisplay¶
A feature that will hide the field in the editing section of the model if the value returns false
Type:
bool
Structure:
uadmin.Schema[ModelName].FieldByName("FieldName").FormDisplay
Let’s set a feature that will hide the field in the editing section of the Category model. In order to do that, create a schema function of Category model where the field name is Name then access FormDisplay.
func main(){
// Some codes
// category - Model Name
// Name - Field Name
uadmin.Schema["category"].FieldByName("Name").FormDisplay = false
}
Run your application, go to the Category model and click Add New Category button on the top right corner of the screen. As expected, the Name Field is now invisible in the Category model.
Help¶
A feature that gives solution(s) to solve advanced tasks
Type:
string
Structure:
uadmin.Schema[ModelName].FieldByName("FieldName").Help
Let’s assign a help note in the Name field to instruct the user what to do on that field. In order to do that, create a schema function of Category model where the field name is Name then access Help.
func main(){
// Some codes
// category - Model Name
// Name - Field Name
uadmin.Schema["category"].FieldByName("Name").Help = "Input a category name for your Todo List."
}
Run your application, go to the Category model and click Add New Category button on the top right corner of the screen. As expected, the help note was displayed below the input Name field.
ListDisplay¶
A feature that will hide the field in the viewing section of the model if the value returns false
Type:
bool
Structure:
uadmin.Schema[ModelName].FieldByName("FieldName").ListDisplay
Let’s set a feature that will hide the field or column name in the viewing section of the Category model. In order to hide the Name field in the Category model, create a schema function of Category model where the field name is Name then access ListDisplay.
func main(){
// Some codes
// category - Model Name
// Name - Field Name
uadmin.Schema["category"].FieldByName("Name").ListDisplay = false
}
Run your application and go to the Category model. As expected, the Name Field in Category Model is now invisible in the list.
Max¶
The maximum value the user can assign. It is applicable for numeric characters.
Type:
interface{}
Structure:
uadmin.Schema[ModelName].FieldByName("FieldName").Max
Let’s set a limitation where the user can assign a value up to 100. In order to do that, create a schema function of Todo model where the field name is Progress then access Max.
func main(){
// Some codes
// todo - Model Name
// Progress - Field Name
uadmin.Schema["todo"].FieldByName("Progress").Max = "100"
}
Run your application and go to the Todo model. Let’s put a numeric value beyond the maximum limit in the Progress field and see what happens.
Min¶
The minimum value the user can assign. It is applicable for numeric characters.
Type:
interface{}
Structure:
uadmin.Schema[ModelName].FieldByName("FieldName").Min
Let’s set a limitation where the user can assign a value at least 0. In order to do that, create a schema function of Todo model where the field name is Progress then access Min.
func main(){
// Some codes
// todo - Model Name
// Progress - Field Name
uadmin.Schema["todo"].FieldByName("Progress").Min = "0"
}
Run your application and go to the Todo model. Let’s put a numeric value beyond the minimum limit in the Progress field and see what happens.
Pattern¶
A regular expression
Type:
string
Structure:
uadmin.Schema[ModelName].FieldByName("FieldName").Pattern
Let’s set a feature where the user can assign letters only in the Name field. In order to do that, create a schema function of Category model where the field name is Name then access Pattern for regular expression and PatternMsg for an error message if the user did not match the requested format.
func main(){
// Some codes
// category - Model Name
// Name - Field Name
uadmin.Schema["category"].FieldByName("Name").Pattern = "^[a-zA-Z _]*$"
uadmin.Schema["category"].FieldByName("Name").PatternMsg = "Your input must be a letter."
}
Run your application, go to the Category model and click Add New Category button on the top right corner of the screen. Let’s assign a numeric value in the Name field. If you click Save, the system will prompt the user the the value of the Name field must assign letters only.
PatternMsg¶
An error message if the user assigns a value that did not match the requested format
Type:
string
Structure:
uadmin.Schema[ModelName].FieldByName("FieldName").PatternMsg
See Pattern for an example.
ProgressBar¶
A feature used to measure the progress of the activity
Type:
map[float64]string
Structure:
uadmin.Schema[ModelName].FieldByName("FieldName").ProgressBar
Let’s assign the value and the color of the progress bar. In order to do that, create a schema function of Todo model where the field name is Progress then access ProgressBar.
func main(){
// Some codes
// todo - Model Name
// Progress - Field Name
// 100.0 - maximum value
// #07c - blue color
uadmin.Schema["todo"].FieldByName("Progress").ProgressBar = map[float64]string{100.0: "#07c"}
}
Run your application and go to the Todo model. As expected, the assigned values were applied to the progress bar.
ReadOnly¶
A field that cannot be modified
Type:
string
Structure:
uadmin.Schema[ModelName].FieldByName("FieldName").ReadOnly
Let’s set a feature where the user cannot modify a Name field in the Category model. In order to do that, create a schema function of Category model where the field name is Name then access ReadOnly.
func main(){
// Some codes
// category - Model Name
// Name - Field Name
uadmin.Schema["category"].FieldByName("Name").ReadOnly = "true"
}
Run your application, go to the Category model and click Add New Category button on the top right corner of the screen. As expected, the Name field is now Read Only that means the value cannot be modified.
Required¶
A field that user must perform the given task(s). It cannot be skipped or left empty.
Type:
bool
Structure:
uadmin.Schema[ModelName].FieldByName("FieldName").Required
Let’s set a feature where the user needs to fill up the Name field. If the value is empty, the user will prompt the user that the value of the Name field should be assigned. In order to do that, create a schema function of Category model where the field name is Name then access Required.
func main(){
// Some codes
// category - Model Name
// Name - Field Name
uadmin.Schema["category"].FieldByName("Name").Required = true
}
Run your application, go to the Category model and click Add New Category button on the top right corner of the screen. If you notice, there is an asterisk (*) symbol located on the top right after the “Name:”. Let’s leave the Name field value as it is. If you click Save, the system will prompt the user that the Name must be filled out.
Stringer¶
A feature that assigns a field as a unique type
Type:
bool
Structure:
uadmin.Schema[ModelName].FieldByName("FieldName").Stringer
Let’s set a feature that assigns a field as a unique type. In order to do that, create a schema function of Friend model where the field name is Name then access Stringer.
func main(){
// Some codes
// friend - Model Name
// Name - Field Name
uadmin.Schema["friend"].FieldByName("Name").Stringer = true
}
Go to uadmin.Stringer in the API Reference for the continuation.
Type¶
The field type (e.g. file, list, progress_bar)
Type:
string
Structure:
uadmin.Schema[ModelName].FieldByName("FieldName").Type
Suppose you have this field in the Todo model as shown below:
Let’s convert the input type to the progress bar. In order to do that, create a schema function of Todo model where the field name is Progress then access Type.
func main(){
// Some codes
// todo - Model Name
// Progress - Field Name
uadmin.Schema["todo"].FieldByName("Progress").Type = "progress_bar"
}
Run your application and go to the Todo model. As expected, the field type has changed from regular to a progress bar. However, the appearance does not look good because we have not assigned the value and color of the progress bar yet.
Let’s improvise the appearance by assigning the value and the color of the progress bar. In order to do that, create a schema function of Todo model where the field name is Progress then access ProgressBar.
func main(){
// Some codes
// todo - Model Name
// Progress - Field Name
// 100.0 - maximum value
// #07c - blue color
uadmin.Schema["todo"].FieldByName("Progress").ProgressBar = map[float64]string{100.0: "#07c"}
}
Run your application and go to the Todo model. As expected, the appearance of the progress bar is now good enough.
UploadTo¶
A path where to save the uploaded files
Type:
string
Structure:
uadmin.Schema[ModelName].FieldByName("FieldName").UploadTo
Let’s set a feature where the uploaded file will save in the specified path on your project folder. In order to do that, create a schema function of Category model where the field name is File then access UploadTo.
func main(){
// Some codes
// category - Model Name
// File - Field Name
uadmin.Schema["category"].FieldByName("File").UploadTo = "/media/files/"
}
Run your application, go to the Category model and click Add New Category button on the top right corner of the screen. Let’s add a new record that includes the uploaded file from your computer (e.g. Windows Installation.pdf).
Result:
From your project folder, go to /media/files/(generated_folder_name)/. As expected, the “Windows Installation.pdf” file was saved on that path.
WebCam¶
A feature which adds web can access directly from the image and file fields
Type:
string
Structure:
uadmin.Schema[ModelName].FieldByName("FieldName").Webcam
Let’s set a feature that accesses a webcam directly into the image field. In order to do that, create a schema function of Friend model where the field name is ProfilePic then access Webcam.
func main(){
// Some codes
// friend - Model Name
// ProfilePic - Field Name
uadmin.Schema["friend"].FieldByName("ProfilePic").Type = "image"
uadmin.Schema["friend"].FieldByName("ProfilePic").WebCam = true
}
Run your application, go to the Friend model and click Add New Friend button on the top right corner of the screen. As expected, there is a camera tag on the right side of the ProfilePic input field. If you have a webcam installed on your computer, click that icon and see it for yourself.


|
Assimp
5.0.1, master @ cd42b955
|
Data structure for a sequence description in HL1 MDL files. More...
Public Attributes | |
| int32_t | activity |
| The sequence activity. More... | |
| int32_t | actweight |
| The sequence activity weight. More... | |
| int32_t | animindex |
| Offset to first the AnimValueOffset_HL1 chunk. More... | |
| vec3_t | bbmax |
| vec3_t | bbmin |
| The sequence minimum and maximum extents. More... | |
| float | blendend [2] |
| The ending value of each blend controller. More... | |
| float | blendstart [2] |
| The starting value of each blend controller. More... | |
| int32_t | blendtype [2] |
| The motion type of each blend controller. More... | |
| int32_t | entrynode |
| The node at entry in the sequence transition graph. More... | |
| int32_t | eventindex |
| Offset the the first animation event chunk. More... | |
| int32_t | exitnode |
| The node at exit in the sequence transition graph. More... | |
| int32_t | flags |
| looping/non-looping flags. More... | |
| float | fps |
| Frames per second. More... | |
| char | label [32] |
| The sequence name. More... | |
| vec3_t | linearmovement |
| Linear motion. More... | |
| int32_t | motionbone |
| Linear motion bone. More... | |
| int32_t | motiontype |
| Linear motion type. More... | |
| int32_t | nodeflags |
| Transition rules. More... | |
| int32_t | numblends |
| The number of blend animations. More... | |
| int32_t | numevents |
| The number of animation events. More... | |
| int32_t | numframes |
| The number of frames in the sequence. More... | |
| int32_t | seqgroup |
| The sequence group. More... | |
| int32_t | unused |
| Was "numpivots". More... | |
| int32_t | unused2 |
| Was "pivotindex". More... | |
| int32_t | unused3 |
| Was "automoveposindex". More... | |
| int32_t | unused4 |
| Was "automoveangleindex". More... | |
| int32_t | unused5 |
| Was "blendparent". More... | |
| int32_t | unused6 |
| Was "nextseq". More... | |
Data structure for a sequence description in HL1 MDL files.
| int32_t Assimp::MDL::HalfLife::SequenceDesc_HL1::activity |
The sequence activity.
| int32_t Assimp::MDL::HalfLife::SequenceDesc_HL1::actweight |
The sequence activity weight.
| int32_t Assimp::MDL::HalfLife::SequenceDesc_HL1::animindex |
Offset to first the AnimValueOffset_HL1 chunk.
This offset is relative to the SequenceHeader_HL1 of the file that contains the animation data.
| vec3_t Assimp::MDL::HalfLife::SequenceDesc_HL1::bbmax |
| vec3_t Assimp::MDL::HalfLife::SequenceDesc_HL1::bbmin |
The sequence minimum and maximum extents.
| float Assimp::MDL::HalfLife::SequenceDesc_HL1::blendend[2] |
The ending value of each blend controller.
| float Assimp::MDL::HalfLife::SequenceDesc_HL1::blendstart[2] |
The starting value of each blend controller.
| int32_t Assimp::MDL::HalfLife::SequenceDesc_HL1::blendtype[2] |
The motion type of each blend controller.
| int32_t Assimp::MDL::HalfLife::SequenceDesc_HL1::entrynode |
The node at entry in the sequence transition graph.
| int32_t Assimp::MDL::HalfLife::SequenceDesc_HL1::eventindex |
Offset the the first animation event chunk.
| int32_t Assimp::MDL::HalfLife::SequenceDesc_HL1::exitnode |
The node at exit in the sequence transition graph.
| int32_t Assimp::MDL::HalfLife::SequenceDesc_HL1::flags |
looping/non-looping flags.
| float Assimp::MDL::HalfLife::SequenceDesc_HL1::fps |
Frames per second.
| char Assimp::MDL::HalfLife::SequenceDesc_HL1::label[32] |
The sequence name.
| vec3_t Assimp::MDL::HalfLife::SequenceDesc_HL1::linearmovement |
Linear motion.
| int32_t Assimp::MDL::HalfLife::SequenceDesc_HL1::motionbone |
Linear motion bone.
| int32_t Assimp::MDL::HalfLife::SequenceDesc_HL1::motiontype |
Linear motion type.
| int32_t Assimp::MDL::HalfLife::SequenceDesc_HL1::nodeflags |
Transition rules.
| int32_t Assimp::MDL::HalfLife::SequenceDesc_HL1::numblends |
The number of blend animations.
| int32_t Assimp::MDL::HalfLife::SequenceDesc_HL1::numevents |
The number of animation events.
| int32_t Assimp::MDL::HalfLife::SequenceDesc_HL1::numframes |
The number of frames in the sequence.
| int32_t Assimp::MDL::HalfLife::SequenceDesc_HL1::seqgroup |
The sequence group.
| int32_t Assimp::MDL::HalfLife::SequenceDesc_HL1::unused |
Was "numpivots".
| int32_t Assimp::MDL::HalfLife::SequenceDesc_HL1::unused2 |
Was "pivotindex".
| int32_t Assimp::MDL::HalfLife::SequenceDesc_HL1::unused3 |
Was "automoveposindex".
| int32_t Assimp::MDL::HalfLife::SequenceDesc_HL1::unused4 |
Was "automoveangleindex".
| int32_t Assimp::MDL::HalfLife::SequenceDesc_HL1::unused5 |
Was "blendparent".
| int32_t Assimp::MDL::HalfLife::SequenceDesc_HL1::unused6 |
Was "nextseq".


This is visualization description
Visualize enables you to create visualizations of the data in your Elasticsearch indices. You can then build dashboards that display related visualizations.
Kibana visualizations are based on Elasticsearch queries. By using a series of Elasticsearch aggregations to extract and process your data, you can create charts that show you the trends, spikes, and dips you need to know about.
You can create visualizations from a search saved from Discover or start with a new search query.
Dashboard(thrivent_demo)
URL-PROCESSING TIME:
This Table informing the time taken to respond to the particular URL.It’s arranged in descending order with highest response URL on TOP.Response time unit is Millisecond and we have min, max, and 90 percentile.
PageName-PROCESSING TIME:
This Table informing the time taken to respond to the particular Page. It’s arranged in descending order with highest response Page on TOP.Response time unit is Millisecond and we have min, max, and 90 percentile.
PAGEURL-BYTES:
This Table informing Bytes used to access the particular URL.It’s arranged in descending order giving high Bytes content URL on Top.
PAGENAME-BYTES:
This Table informing Bytes used to access the particular URL.It’s arranged in descending order giving high Bytes content Page on Top.
PAGEURL-COUNT:
This Table informing Number of time the particular URL visited.It’s arranged in descending order giving Highest Visited URL on Top.
.
PAGENAME-COUNT:
This Table informing Number of time the particular Page visited.It’s arranged in descending order giving Highest Visited Page on Top.
.
 It’s arranged in descending order giving us highest mechanism used to access on Top.
Table 9:
Select the currently selected or the top most term in auto-complete menu


Money Play. How should Red play 61?
pips Red=164 White=162
(CorrectAnswer= 0/0, ErrorScore= 0)
There are a number of options here. The question is whether to slot the opponent’s bar-point or your own.
It is close but 24/18, 6/5 is marginally better than 13/7, 6/5. The blot on the opponent’s bar-point is a deflecting play. If White makes his bar-pt he won’t be making his 5-pt (except with 11).
24/23, 11/5 is too passive a play. 24/18, 6/5 is a dynamic play and in the opening we are looking for dynamic rather than passive plays.
It is close but 24/18, 6/5 is marginally better than 13/7, 6/5. The blot on the opponent’s bar-point is a deflecting play. If White makes his bar-pt he won’t be making his 5-pt (except with 11).
24/23, 11/5 is too passive a play. 24/18, 6/5 is a dynamic play and in the opening we are looking for dynamic rather than passive plays.
1. Cubeful 2-ply 24/18 6/5 Eq.: +0.243 0.569 0.174 0.012 - 0.431 0.130 0.006 2. Cubeful 2-ply 13/7 6/5 Eq.: +0.240 (-0.003) 0.562 0.181 0.012 - 0.438 0.132 0.008 3. Cubeful 2-ply 24/23 11/5 Eq.: +0.203 (-0.041) 0.555 0.171 0.010 - 0.445 0.130 0.005 4. Cubeful 2-ply 11/5 6/5 Eq.: +0.198 (-0.046) 0.552 0.178 0.012 - 0.448 0.135 0.006 5. Cubeful 2-ply 11/5 8/7 Eq.: +0.151 (-0.092) 0.537 0.176 0.012 - 0.463 0.134 0.008


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This document was last updated on April 23rd, 2018.


nips nips2002 nips2002-95 nips2002-95-reference knowledge-graph by maker-knowledge-mining
Source: pdf
Author: Agathe Girard, Carl Edward Rasmussen, Joaquin Quiñonero Candela, Roderick Murray-Smith
Abstract: We consider the problem of multi-step ahead prediction in time series analysis using the non-parametric Gaussian process model. -step ahead forecasting of a discrete-time non-linear dynamic system can be performed by doing repeated one-step ahead predictions. For a state-space model of the form , the prediction of at time is based on the point estimates of the previous outputs. In this paper, we show how, using an analytical Gaussian approximation, we can formally incorporate the uncertainty about intermediate regressor values, thus updating the uncertainty on the current prediction. ¡ % # ¢ ¡ ¢ ¡¨ ¦ ¤ ¢ $
[1] O’Hagan, A. (1978) Curve ﬁtting and optimal design for prediction. Journal of the Royal Statistical Society B 40:1-42.
[2] Girard, A. & Rasmussen, C. E. & Murray-Smith, R. (2002) Gaussian Process Priors With Uncertain Inputs: Multiple-Step Ahead Prediction. Technical Report, TR-2002-119, Dept. of Computing Science, University of Glasgow.
[3] Henson, M. A. & Seborg, D. E. (1994) Adaptive nonlinear control of a pH neutralisation process. IEEE Trans Control System Technology 2:169-183.
[4] Mackey, M. C. & Glass, L. (1977) Oscillation and Chaos in Physiological Control Systems. Science 197:287-289.
[5] MacKay, D. J. C. (1997) Gaussian Processes - A Replacement for Supervised Neural Networks?. Lecture notes for a tutorial at NIPS 1997.
[6] Murray-Smith, R. & Sbarbaro-Hofer, D. (2002) Nonlinear adaptive control using non-parametric Gaussian process prior models. 15th IFAC World Congress on Automatic Control, Barcelona
[7] Neal, R. M. (1995) Bayesian Learning for Neural Networks PhD thesis, Dept. of Computer Science, University of Toronto.
[8] Qui˜ onero Candela, J & Girard, A. & Larsen, J. (2002) Propagation of Uncertainty in Bayesian n Kernels Models – Application to Multiple-Step Ahead Forecasting Submitted to ICASSP 2003.
[9] Qui˜ onero Candela, J. & Girard, A. (2002) Prediction at an Uncertain Input for Gaussian Pron cesses and Relevance Vector Machines - Application to Multiple-Step Ahead Time-Series Forecasting. Technical Report, IMM, Danish Technical University.
[10] Rasmussen, C. E. (1996) Evaluation of Gaussian Processes and other Methods for Non-Linear Regression PhD thesis, Dept. of Computer Science, University of Toronto.
[11] Williams, C. K. I. & Rasmussen, C. E. (1996) Gaussian Processes for Regression Advances in Neural Information Processing Systems 8 MIT Press.
[12] Williams, C. K. I. (2002) Gaussian Processes To appear in The handbook of Brain Theory and Neural Networks, Second edition MIT Press.


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info3


1.11.3
#1165 - @pbajrak discovered a copy/paste error in the message for minProperties
.
1.11.2
Fixed minor issue with $dynamicRef
/$dynamicAnchor
and resolution within specific scopes.
1.11.1
Some format
validations were incorrectly failing validations for incompatible types. For example, uri
would fail on integers, but should pass (ignore non-strings).
1.11.0
format
incorporates error messages from custom format validation, when provided.
1.10.8
format
now adds an error message.
1.10.7
Revenge of #138 - @yohny found that the initialization issue still existed when not supplying custom validation options.
1.10.6
#138 - @wazzamatazz found an initialization issue that resulted in a NullReferenceException
.
1.10.5
Fixed an issue with reference resolution when $ref
and $id
are sibling keywords in drafts 6 and 7.
1.10.4
#132 - Fixed some memory management issues around JsonDocument
and JsonElement
. Thanks to @ddunkin for finding and fixing these.
1.10.3
Added overload for ExitKeyword
logging extension to pull the validition result from the context rather than having to pass it in.
1.10.2
In 2020-12, unevaluatedItems
should consider contains
.
1.10.1
#97 - Added support for circular reference detection.
1.10.0
#90 - Added JsonSchemaBuilder.Get<T>()
to support the discussion around incrementally adding properties while building schemas.
Added optional logging around schema processing decisions.
1.9.4
Register the 2020-12 meta-schemas and vocabularies.
Fixed several issues with reusing options objects between validations.
Fixed $dynamic*
keywords based on new tests in test suite.
1.9.3
#82 - Fixing issues managing ValidationContext.CurrentUri
. Credit to @amosonn.
1.9.2
#79 - $ref
was calling out to resolve a parent URI.
1.9.1
Fixes found by the release of the 2020-12 test suite.
$dynamicAnchor
and$dynamicRef
behavior.- make
items
andunevaluatedItems
respect annotations fromprefixItems
.
1.9.0
Added support for nullable reference types.
Fixed various evaluation bugs around the various keywords involved with references.
Fixed content*
keywords so that they only validate if the instance is a string.
Fixed #76 - .GetHashCode()
is inconsistent for schemas and keywords. Credit to @amosonn for pointing me to a good hash code method in the wild.
RecursiveRef
parameterless constructor marked obsolete in favor of new constructor which takes a boolean value. Schema builder extension also updated to include a parameter which defaults to true
to maintain current behavior.
1.8.0
Exposed UriExtensions
to help support new keywords that manipulate URIs.
1.7.1
Fixed #67 - enum
keyword serializes as examples
due to a copy-paste error. Credit to @dannyheard7 for finding and fixing. Also fixed several other related serialization issues.
1.7.0
- Updated hard-coded 2020-12 meta-schemas to match the published documents.
- Added the following
JsonSchemaBuilder
extension method overloads:.DynamicRef(string)
.Const(JsonElementProxy)
.Default(JsonElementProxy)
.Enum(IEnumerable<JsonElementProxy>)
.Enum(params JsonElementProxy[])
.Examples(IEnumerable<JsonElement>)
.Examples(IEnumerable<JsonElementProxy>)
.Examples(params JsonElementProxy[])
(See Json.More.Net v1.3.0 for more information on JsonElementProxy
.)
1.6.1
Signed the DLL for strong name compatibility.
1.6.0
Added support for Draft 2020-12.
- Meta-schema validation now always occurs superficially in that it validates that the meta-schema is known. The
ValidationOptions.ValidateMetaSchema
option now only controls whether a full meta-schema validation of the schema will occur. This should only affect clients validating schemas declaring custom meta-schemas with the$schema
keyword. Custom meta-schemas will now need to be loaded into the system manually orSchemaRegistry.Fetch
will need to be set to retrieve it automatically. - Added all new vocabularies and meta-schemas.
- New keywords:
$dynamicRef
- replaces/augments$recursiveRef
$dynamicAnchor
- replaces/augments$recursivAnchor
prefixItems
- replaces array-formitems
- Added
JsonSchemaBuilder
extension method for$anchor
which should have been added for draft 2019-09 support. ValidationOptions.ValidateFormat
has been obsoleted and replaced byValidationOptions.RequireFormatValidation
with the same semantics and default.FormatKeyword
now responds to the presence of the format vocabularies in the meta-schema declared by the$schema
keyword as well as theValidationOptions.RequireFormatValidation
option. (Includes a bug fix for draft 2019-09 schemas that use a meta-schema that declare the format vocabulary with a value oftrue
.)
1.5.4
Added debug symbols to package. No functional change.
1.5.3
Fixed NullReferenceException
when comparing two schemas.
1.5.2
Updated wording for enum
error message. This must remain generic and cannot include the expected values because the list could be long and the values could be quite large.
1.5.1
#35 JsonSchema.FromFile()
handles file paths as URIs incorrectly in non-Windows systems.
1.5.0
#33 Added ValidationOptions.ValidateFormat
which allows configuration of whether to validate the format
keyword. Also fixes a bug where the format
keyword was validated by default for draft 2019-09 which specifies that it should only generate annotations by default. Because this library favors the latest draft, this is the default behavior for all drafts.
As a further followup to #27 (below), basic output has been refined.
1.4.0
#27 (reopened) Better reduction of detailed output format which eliminates the notion that any nodes must be kept.
#29 Relative $id
keyword at root of schema was not supported. Added ValidationOptions.DefaultBaseUri
to be used when no other absolute URI is defined by the $id
keyword. Also now supports assuming the base URI from the file name.
1.3.1
#27 Nodes in the basic and detailed output formats that match the overall outcome should be removed. This also addresses several other bugs involving the output such as absoluteKeywordLocation
.
1.3.0
#15 Easier navigation of the schema and its subschemas. Added ISchemaContainer
, ISchemaCollector
, and IKeyedSchemaCollector
for the varying sets of subschemas that keywords can have. Added SchemaKeywordExtensions.GetSubschemas()
extension method.
#19 Keyword filtering doesn't consider declared draft or ValidationOptions.ValidateAs
.
1.2.0
(json-schema
#16 JsonSchema
equality checking. Along with this, added IEquatable<T>
to SchemaKeywordRegistry.Register<T>()
.
#18 properties
keyword is processed with same priority as additionalProperties
making keyword order important, but it shouldn't be.
Added EnumerableExtensions.ContentsEqual()
.
1.1.0
Added SchemaRegistry.Fetch
property to enable automatic downloading of referenced schemas.
1.0.3
#9 if
/then
/else
are processed in serialized order instead of processing if
first.
#10 Bug fix around deserialization of readonly
keyword.
1.0.2
Updated format json-pointer
to require plain pointers. URI-encoded pointers are invalid.
1.0.1
Updated validation of formats hostname
, iri
, uri
, regex
, and time
.
Fixed issue resolving references ($ref
& $recursiveRef
) to miscellaneous (non-keyword) schema data.
1.0.0
Initial release.


Callflow
Forms
Usefull links
ENIGMA
"This site has been created for
curious,ambitious people who
do not conform easily, and are
always better every day, all this
is for you, Welcome" SG


|
|
Owl Monitoring SystemManager Installation Manual |
| 2.1. | Manager Installation | ||
| 2.1.1. | Preparatory Steps | ||
| 2.1.2. | Installing Third-Party Software | ||
| <IP_ADDRESS>. | Nagios Core and Plugins | ||
| <IP_ADDRESS>. | nagiosgraph | ||
| <IP_ADDRESS>. | rrdtool | ||
| <IP_ADDRESS>. | drraw.cgi | ||
| <IP_ADDRESS>. | Perl modules | ||
| 2.1.3. | Installing the Owl Monitor Software | ||
| <IP_ADDRESS>. | Unpacking the Owl Monitor Software | ||
| <IP_ADDRESS>. | owl-dnswatch | ||
| <IP_ADDRESS>. | owl-perfdata | ||
| <IP_ADDRESS>. | owl-newsensor | ||
| <IP_ADDRESS>. | owl-transfer-mgr | ||
| <IP_ADDRESS>. | Data-Archiving Programs | ||
| 2.2. | Modifying Configuration Files | ||
| 2.2.1. | Save Files! | ||
| 2.2.2. | nagios.cfg (Nagios) | ||
| 2.2.3. | cgi.cfg (Nagios) | ||
| 2.2.4. | resource.cfg (Nagios) | ||
| 2.2.5. | share/config.inc.php (Nagios) | ||
| 2.2.6. | nagiosgraph.conf (nagiosgraph) | ||
| 2.2.7. | map (nagiosgraph) | ||
| 2.2.8. | htpasswd.users (Apache) | ||
This section gives installation procedures for setting up the Owl Monitoring software on manager hosts. There are two sections, an installation section and a configuration section. The installation instructions discuss software installation of Owl software and supporting third-party software packages. System configuration is also detailed in this section, but only for non-Owl-specific configuration. There are a number of Owl-specific configuration actions that must be performed and these are detailed in section 4.
The Owl manager requires Perl. You must install it on your system if it isn't already available.
It is possible (and not too difficult) to run multiple instances of the third-party software packages (e.g., Nagios, nagiosgraph) on a single host, but care must be taken when configuring, building, and installing the software. Without careful work, an existing installation may be overwritten by a later installation. These instructions assume that only one instance of each package will be installed on the manager host.
Below is a diagram of the flow of Owl sensor data on the Owl manager. The details may not make sense at this stage, but this will show how the various pieces fit together.
You may want to create two unprivileged users for use by the Owl manager. One would run the various Owl commands, and the other would be used for sensor data transfers (in the case that the sensor is to initiate transfers.) The first user will need rwx permission to all the Owl directories and files. The second user will need to be able to write data into the Owl data directories.
In the following instructions, it is assumed that a single user will created for the Owl manager and it will be referred to as the Owl User.
The following is a possible set of directories:
| /owl/data | top-level data repository | |
| /owl/old.data | top-level data archive | |
| /owl/data/sensor-portland/dnstimer | sensor-portland's DNS timer-data directory | |
| /owl/data/sensor-portland/history | sensor-portland's monitoring history (for Nagios) | |
| /owl/old.data/sensor-portland | sensor-portland's data archive | |
| /owl/data/sensor-oslo/dnstimer | sensor-oslo's DNS timer-data directory | |
| /owl/data/sensor-oslo/history | sensor-oslo's monitoring history (for Nagios) | |
| /owl/old.data/sensor-oslo | sensor-oslo's data archive |
Nagios, along with a web server, should be installed such that they will be restarted at system boot time.
This table shows the most recent software versions that were tested with the Owl Monitor.
| Package | Version Tested with Owl | |
| Nagios Core | 3.4.1 | |
| Nagios Plugins | 1.4.16 | |
| nagiosgraph | 1.4.4 | |
| rrdtool | 1.4.7 | |
| drraw.cgi | 2.2b2 |
$ ./configure --with-command-group --prefix=/owl --with-nagios-user=owl-monitor --with-nagios-group=owl-monitor
The same prefix, username, and groupname must be used when building Nagios Core and Nagios Plugins.
Multiple instances of Nagios can be installed on a single machine. This can be useful for segregating different things being monitored. However, you must be careful when doing this. In particular, even if the --prefix option was given to configure, the "make install-init" and "make install-webconf" commands will overwrite existing Nagios files.
If you choose the manual installation, you may skip most of this section and pick up at the discussion of the map file.
If you choose to install with install.pl, you must know that it looks like several of the steps are not performed by the script. After running install.pl you must verify that the manual steps from "Restart nagios" to the end have actually been taken.
install.pl will configure the package, install its files in the appropriate places, and modify Nagios and httpd files as needed. A variety of options allow for site-specific installation layouts. In addition, you will be prompted for many directory and file names prior to install.pl completing its work. If it can't find one or another file that it must update, then at the end of execution it will provide a set of steps that you must manually perform in order to complete the installation.
The --dry-run option will show you what install.pl would do, so that you may verify where things are being copied. It isn't required, but it wouldn't be a bad idea to use this option prior to the actual install.
One thing install.pl is likely to say is that you must add a Nagios command file. This file probably already exists, and you must find it. It is likely to be called something like commands.cfg and be located in the etc/objects directory in your Nagios installation. Check names carefully when making this modification, as commands.cfg already has a process-service-perfdata command and install.pl will have you add a process-service-perfdata-by-nagiosgraph command.
install.pl logs all its actions, including the manual-intervention actions, in the install-log file. Unfortunately, the command line is not recorded in the log file, so it might be useful to save that somewhere yourself.
I have used this command to successfully install nagiosgraph:
$ install.pl --prefix /owl/nagiosgraph --nagios-user owl-manager --nagios-cgi-url /nagios-owl/cgi-bin \ --nagios-perfdata-file /owl/var/service-perfdata.out --log-dir /owl/var --layout standaloneI do not let install.pl update the Nagios or Apache configurations, which it will prompt for; I prefer to make those modifications myself. Refer to the install-log file to see what remains to be done.
The README file contains steps for manual installation and it looks like several of the steps are not performed by install.pl. If you use install.pl to install nagiosgraph, verify that the manual steps from "Restart nagios" to the end have actually been taken.
You may have to manually copy the nagiosgraph.ssi file into place. This file is in .../nagiosgraph/examples/nagiosgraph.ssi and it should be copied into your equivalent of /owl/share/nagiosgraph.ssi.
Before nagiosgraph can be used by the Owl manager, the map file must be modified to recognize data from the Owl plugins for Nagios. The required modifications are discussed in section 2.2.7.
The drraw.conf must be edited for this installation. Some of these edits are required and some are optional. Each will be marked as to whether or not you must make the change. This file is a Perl file, so the configuration values are set according to Perl's language rules.
'/owl/nagiosgraph/var/rrd/sensor1%20h-root%20foo.com%20A' => '[Kyoto H foo A]', '/owl/nagiosgraph/var/rrd/sensor1%20h-root%20foo.com%20NS' => '[Kyoto H foo NS]', '/owl/nagiosgraph/var/rrd/sensor5%20h-root%20foo.com%20A' => '[Cairo H foo A]',The identifier should be unique for each database directory.
The @dv_def array is used to select data from the database. The @dv_name array is used to provide titles for each graph. The @dv_secs array is used to provide the count of seconds for each graph.
The following example values show the relation between the three arrays.
@dv_def = ( 'end - 15 minutes', 'end - 60 minutes', 'end - 4 hours', 'end - 12 hours', 'end - 24 hours', 'end - 1 week' , 'end - 1 month', 'end - 1 year'); @dv_name = ( 'Past 15 Minutes', 'Past 60 Minutes', 'Past 4 Hours', 'Past 12 hours', 'Past 24 Hours', 'Past Week', 'Past Month', 'Past Year' ); @dv_secs = ( 900, 3600, 14400, 43200, 86400, 604800, 2419200, 31536000 );(optional)
$saved_dir = '/owl/nagios/var/drraw/saved';(required)
$tmp_dir = '/owl/nagios/var/drraw/tmp';(required)
$ERRLOG = '/owl/nagios/var/drraw/errors.log';(required)
Modules required by the Owl manager:
It is likely that some of the third-party software may require other Perl modules. The installation documentation or process should inform you of what must be installed on your system.
$ tar xf owl-monitor.tar.gzThis command unpacks the Owl distribution in the current directory. This can be unpacked anywhere you want, but it is a good idea to do it in the Owl manager's home directory.
The Owl commands should be installed in a convenient directory, such as ~/owl-manager/bin. This could be anything that is suited for you; e.g., /usr/bin, /usr/local/bin, ~/mystuff, or /owl/scripts. It would be helpful to add the directory to your shell's path.
The Owl plugins must be installed in the Nagios plugin directory. This directory depends on how you installed Nagios, and it is probably something like /owl/nagios/libexec.
my $OWLDATA = "/owl/data";
my $GRAPHINSERT = "/owl/nagiosgraph/bin/insert.pl";
No local modifications are required for owl-newsensor.
No local modifications are required for owl-newsensor.
The first stage of the archive process moves old data from the sensor's data directory to the sensor's archive directory. Data is considered old if the file's timestamp (in its name) is older than two days. This part of the data archiving should be performed once per day, depending on how frequently the sensors perform their own data archiving.
The second stage of the archive process combines a month's worth of sensor data into a single compressed tarfile. This should be performed several days after the end of the previous month.
The Owl data-archival programs assume that all sensor data are stored in a common directory and all the archived data are stored in a common directory. They will segregate data by sensor in order to prevent it from getting mixed together. For example, when handling data for the sensors dresden and kvothe, these programs might expect the following directories to exist:
/owl/data/dresden /owl/data/kvothe /owl/data-archive/dresden /owl/data-archive/kvothe
This first set of programs will archive data for all the sensors that report to an Owl manager. They must be told where the sensor data are stored and where the data archive is kept.
This second set of programs will archive data for a single sensor that reports to an Owl manager. They must be told where the sensor data are stored and where the data archive is kept.
More information about each of these programs is available in their man pages.
Copy these archiving programs to a directory which will be their home. This could be anything that is convenient for you; e.g., /usr/bin, /usr/local/bin, ~/mystuff, or /owl/scripts.
In the basic Nagios installation, /nagios/etc holds sample configuration files, which can be modified for use.
The various configuration parameters for Nagios could be included in a small number of files, but the standard arrangement groups the parameters into separate files. The nagios.cfg file is the primary configuration file for Nagios, and at run-time it acts as the focal point to collect the disparate configuration files for the Nagios daemon.
A cfg_file line is used to tell Nagios to include the specified line. Adding or deleting these lines will control which files are included in the Nagios configuration.
As a result of the Nagios build and installation process, the nagios.cfg file should be mostly configured already. The Nagios configuration file is well-documented, so figuring out how to adjust its fields shouldn't be too difficult. There are a few things that must be done to prepare it for Owl monitoring. These directions assume that Owl monitoring is the only monitoring that will be performed by this installation.
Nagios uses this file to hold a small amount of file-location data. The following actions must be taken:
$cfg['ng_cgi_base_url']='/nagiosgraph/cgi-bin'; $cfg['ng_cgi_base_url']='/nagiosgraph-owl/cgi-bin';
This is the configuration file for Nagiosgraph. Several settings must be checked and some Owl-specific setting copied in. The following actions must be taken:
nagiosgraph uses a file of data definitions that describe how to extract data from Nagios plugins and how to handle the extracted data. The file is a collection of Perl expressions that are evaluated by nagiosgraph. This file is named something like /owl/nagiosgraph/etc/map.
The Owl manager distribution contains a set of additional, Owl-specific definitions that must be added to the map file. These definitions are in ng-owl-map. Copy the contents of this file into the map.
Strictly speaking, this file is not a Nagios file, but is instead an httpd file. The Nagios configuration file for httpd gives the name of an htpasswd.users file. Use the htpasswd command to create and populate this file with the users that should be allowed to access the Owl monitor. These users must have their permissions defined in the Nagios cgi.cfg file.
Proceed to Section 3. An Interlude on
Sensor Queries for important information about defining the queries
gathered by your Owl manager.
If you have already read Section 3,
you may continue on with Section 4.
Adding Sensors to complete the installation of the manager.
|
Section 1. Operational Overview |
Owl Monitoring System Manager Installation Manual |
Section 3. An Interlude on Sensor Queries |


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--- layout: post title: 'The Crossword Obsession: The History and Lore of the World''s Most Popular Pastime' date: 2004-03-29 00:00:00 category: books ---


The beast lay in wait for the brave souls that ventured forth to defeat it. It breathed fire and the
cave was sweltering. You charged at it, and the battle seemed to go on for hours. But none that
preceded you had the favour of the great wizard for his gifts made you more powerful. The dragon
fought, defended and clawed – but to no avail. As the dragon breathed its last and fell to the
ground with a dull thud, a deafening silence fell on the land.
At last, the beast was vanquished! And you are the heroes who did it! Congratulations!!


---
layout: post
title: Nuno Álvares Pereira portrait
date: '2013-04-13T03:39:00+02:00'
categories:
- Storyboards
- Atoleiros Battle
picture_url: https://film-Storyboards.tumblr.com/post/47850891273/nuno-álvares-pereira-charcoal-drawing-on-paper
---
Nuno Álvares Pereira - charcoal drawing on paper.


Distributed Vector Representation Series
Introduction
- Computing the continuous vector representations of words from very large data sets.
- Current state-of-the-art performance on semantic and syntactic word similarities.
- Classical techniques treat words as atomic units without any notion of similarities between them because they are represented using indices in a vocabulary (bag-of-words).
- Advantages of classical techniques lie in simplicity, robustness and accuracy of simple model when trained on large data sets over complex models trained on less data.
- Disadvantage of these methods is observed when the amount of data available to train is limited in certain fields like say, automatic speech recognition and machine translations.
Previous Works
- Neural Network Language Model (NNLM):
- Consists of input, projection, hidden and output layers.
- Input layer has N previous words encoded using 1-in-V coding, where V is the size of Vocabulary.
- Projection layer, P has a projection of input layer has a dimensionality of \(N * D\) and uses a projection matrix.
- High complexity between projection and hidden layer due to dimensions of the dense projection layer.
- Computational complexity of NNLM per training example is given by
\[Q = N * D + N * D * H + H * V\]
- Where
- Q is the computational cost
- N is the number of previous words used for learning
- D is the dimensionality of the projection layer
- H is the size of hidden layer
- V is the size of the vocabulary and output layer.
- \(H * V\) is the dominating term above which was proposed to be reduced to as less as \(H * log_2(V)\) using
- Hierarchical softmax
- Avoiding normalized models for training
- Binary tree representations of the vocabulary using Huffman Trees
- So, the major complexity is dominated by \(N * D * H\)
- Recurrent Neural Network Language Model (RNNLM):
- Overcome the limitations of NNLM such as need to specify the context length, N (order of the model N)
- Theoretically RNNs can efficiently represent more complex patterns than shallow neural networks.
- No projection layer
- Consists of Input, hidden and output layers.
- Develops a short term memory of seen data in the self-fed time delayed hidden layer.
- Computational complexity of NNLM per training example is given by
\[Q = H * H + H * V\]
- Where
- Q is the computational cost
- H is the size of hidden layer
- V is the size of the vocabulary and output layer.
- Word representations D have the same dimensionality as the hidden layer H.
- Again, \(H * V\) will be reduced to \(H * log_2(V)\) using Hierarchical softmax.
- So, the major complexity is dominated by \(H * H\)
- It’s observed that most complexity is contributed by the non-linearity of the hidden layer in the networks.
Continuous Bag-of-Words Model (CBOW)
-
Similar to feedforward NNLM, but the non-linear hidden layer is removed.
-
Projection layer is shared for all the words. So all words are projected into the same position and their vectors are averaged.
-
Model is called bag-of-words model because the order of words in the history or future does not influence the projections.
-
Unlike NNLM, words from future are used to with the best result found with 4 history and 4 future words in context.
-
Training criterion is the correct classification of the current(middle) word.
-
Training complexity is given by
\[Q = N * D + D * log_2(V)\]
-
Model is continuous bag-of-words because unlike standard bag-of-words it uses continuous distributed representations of the context.
-
Weights between the input and the projection layer is shared for all words positions in the same way as in NNLM.
Continuous Skip-Gram Model
-
Similar to CBOW but slight changes in training criterion.
-
Instead of predicting current word from the surrounding words in the window, current word is used to predict the words surrounding the current word.
-
Accuracy and quality of vector is found to increase as the number of context words predicted is increased, but that increased the computational complexity as well.
-
Training complexity is given by
\[Q = C * (D + D * log_2(V))\]
- Where
- C is the maximum distance of the words. Say, C=5 is chosen then a number \(R \in [1, C]\) is selected randomly and then R words from history and R from future are correct labels of the current word.
Model Architectures
Results
- Algebraic operations on the vector representations actually give meaningful results like cosine similary of \(vector(X)\) is closest to \(vector(‘smallest’)\) where
\[vector(X) = vector(‘biggest’) - vector(‘big’) + vector(‘small’)\]
-
Subtle relationships are learnt when accurate data is used. For example, France is to Paris as Germany is to Berlin.
-
After a certain point adding more dimensionality to the word vectors or adding more training data provides diminishing improvements.
-
NNLM vectors work better than RNNLM because word vectors in RNNLM are directly connected to non-linear hidden layer.
-
CBOW is better than NNLM on syntactic tasks and about the same on semantic tasks.
-
Skip-Gram works slightly worse than CBOW but better than NNLM on syntactic tasks and much better on semantic tasks.
-
Training time for Skip-Gram model is greater than CBOW model.
REFERENCES:
Efficient Estimation of Word Representations in Vector Space


| Opcode | Instruction | Op/En | 64-Bit Mode | Compat/Leg Mode | Description |
| 0F C7 /3 | XRSTORS mem | M | Valid | Valid | Restore state components specified by EDX:EAX from mem. |
| REX.W+ 0F C7 /3 | XRSTORS64 mem | M | Valid | N.E. | Restore state components specified by EDX:EAX from mem. |
| Op/En | Operand 1 | Operand 2 | Operand 3 | Operand 4 |
| M | ModRM:r/m (r) | NA | NA | NA |
Performs a full or partial restore of processor state components from the XSAVE area located at the memory address specified by the source operand. The implicit EDX:EAX register pair specifies a 64-bit instruction mask. The specific state components restored correspond to the bits set in the requested-feature bitmap (RFBM), which is the logical-AND of EDX:EAX and the logical-OR of XCR0 with the IA32_XSS MSR. XRSTORS may be executed only if CPL = 0.
The format of the XSAVE area is detailed in Section 13.4, “XSAVE Area,” of Intel® 64 and IA-32 Architectures Software Developer’s Manual, Volume 1.
Section 13.11, “Operation of XRSTORS,” of Intel® 64 and IA-32 Architectures Software Developer’s Manual, Volume 1 provides a detailed description of the operation of the XRSTOR instruction. The following items provide a high-level outline:
Use of a source operand not aligned to 64-byte boundary (for 64-bit and 32-bit modes) results in a general-protection (#GP) exception. In 64-bit mode, the upper 32 bits of RDX and RAX are ignored.
RFBM ← (XCR0 OR IA32_XSS) AND EDX:EAX; COMPMASK ← XCOMP_BV field from XSAVE header; RSTORMASK ← XSTATE_BV field from XSAVE header; IF in VMX non-root operation THEN VMXNR ← 1; ELSE VMXNR ← 0; FI; LAXA ← linear address of XSAVE area; If RFBM[0] = 1 THEN IF RSTORMASK[0] = 1 THEN load x87 state from legacy region of XSAVE area; ELSE initialize x87 state; FI; FI; If RFBM[1] = 1 THEN IF RSTORMASK[1] = 1 THEN load SSE state from legacy region of XSAVE area; ELSE initialize SSE state; FI; FI; If RFBM[2] = 1 THEN IF RSTORMASK[2] = 1 THEN load AVX state from extended region (compacted format) of XSAVE area; ELSE initialize AVX state; FI; FI; XRSTOR_INFO ← CPL,VMXNR,LAXA,COMPMASK;
None.
| XRSTORS: XRSTORS64: void _xrstors64( void * , unsigned __int64); | void _xrstors( void * , unsigned __int64); |
| #GP(0) | If CPL > 0. If a memory operand effective address is outside the CS, DS, ES, FS, or GS segment limit. If a memory operand is not aligned on a 64-byte boundary, regardless of segment. If bit 63 of the XCOMP_BV field of the XSAVE header is 0. If a bit in XCR0 is 0 and the corresponding bit in the XCOMP_BV field of the XSAVE header is 1. If a bit in the XCOMP_BV field in the XSAVE header is 0 and the corresponding bit in the XSTATE_BV field is 1. If bytes 63:16 of the XSAVE header are not all zero. If attempting to write any reserved bits of the MXCSR register with 1. |
| #SS(0) | If a memory operand effective address is outside the SS segment limit. |
| #PF(fault-code) | If a page fault occurs. |
| #NM | If CR0.TS[bit 3] = 1. |
| #UD | If CPUID.01H:ECX.XSAVE[bit 26] = 0 or CPUID.(EAX=0DH,ECX=1):EAX.XSS[bit 3] = 0. If CR4.OSXSAVE[bit 18] = 0. If any of the LOCK, 66H, F3H or F2H prefixes is used. |
| #AC | If this exception is disabled a general protection exception (#GP) is signaled if the memory operand is not aligned on a 16-byte boundary, as described above. If the alignment check |
exception (#AC) is enabled (and the CPL is 3), signaling of #AC is not guaranteed and may vary with implementation, as follows. In all implementations where #AC is not signaled, a #GP is signaled in its place. In addition, the width of the alignment check may also vary with implementation. For instance, for a given implementation, an alignment check exception might be signaled for a 2-byte misalignment, whereas a #GP might be signaled for all other misalignments (4-, 8-, or 16-byte misalignments).
| #GP | If a memory operand is not aligned on a 64-byte boundary, regardless of segment. If any part of the operand lies outside the effective address space from 0 to FFFFH. If bit 63 of the XCOMP_BV field of the XSAVE header is 0. If a bit in XCR0 is 0 and the corresponding bit in the XCOMP_BV field of the XSAVE header is 1. If a bit in the XCOMP_BV field in the XSAVE header is 0 and the corresponding bit in the XSTATE_BV field is 1. If bytes 63:16 of the XSAVE header are not all zero. If attempting to write any reserved bits of the MXCSR register with 1. |
| #NM | If CR0.TS[bit 3] = 1. |
| #UD | If CPUID.01H:ECX.XSAVE[bit 26] = 0 or CPUID.(EAX=0DH,ECX=1):EAX.XSS[bit 3] = 0. If CR4.OSXSAVE[bit 18] = 0. If any of the LOCK, 66H, F3H or F2H prefixes is used. |
Same exceptions as in protected mode
Same exceptions as in protected mode.
| #GP(0) | If CPL > 0. If a memory address is in a non-canonical form. If a memory operand is not aligned on a 64-byte boundary, regardless of segment. If bit 63 of the XCOMP_BV field of the XSAVE header is 0. If a bit in XCR0 is 0 and the corresponding bit in the XCOMP_BV field of the XSAVE header is 1. If a bit in the XCOMP_BV field in the XSAVE header is 0 and the corresponding bit in the XSTATE_BV field is 1. If bytes 63:16 of the XSAVE header are not all zero. If attempting to write any reserved bits of the MXCSR register with 1. |
| #SS(0) | If a memory address referencing the SS segment is in a non-canonical form. |
| #PF(fault-code) | If a page fault occurs. |
| #NM | If CR0.TS[bit 3] = 1. |
| #UD | If CPUID.01H:ECX.XSAVE[bit 26] = 0 or CPUID.(EAX=0DH,ECX=1):EAX.XSS[bit 3] = 0. If CR4.OSXSAVE[bit 18] = 0. If any of the LOCK, 66H, F3H or F2H prefixes is used. |
| #AC | If this exception is disabled a general protection exception (#GP) is signaled if the memory operand is not aligned on a 16-byte boundary, as described above. If the alignment check exception (#AC) is enabled (and the CPL is 3), signaling of #AC is not guaranteed and may vary with implementation, as follows. In all implementations where #AC is not signaled, a general protection exception is signaled in its place. In addition, the width of the alignment check may also vary with implementation. For instance, for a given implementation, an alignment check exception might be signaled for a 2-byte misalignment, whereas a general protec- |
tion exception might be signaled for all other misalignments (4-, 8-, or 16-byte misalignments).


This test shows a timepicker only. It should parse the current time (11:05AM) and it should format it that way.
You should not be able to go up by clicking the picker title. The title should say a localized string "select a time"
You should be able to change the hours and minutes with your scrollweel. The minutes should go in steps of 5.
Inputs:


Moorish idol lighthousefish bichir kelp perch betta nibbler long-whiskered catfish rock cod ground shark triplefin blenny, barramundi. Grayling walleye pollock tope stream catfish bangus Asiatic glassfish sheepshead minnow. Oarfish danio cutthroat trout, clownfish delta smelt convict blenny cod large-eye bream. Queen danio Lost River sucker cuskfish combtail gourami. Ballan wrasse, sand tiger, "quillback bonytongue butterflyfish sandburrower redtooth triggerfish pleco horsefish," armored gurnard mudminnow. Lizardfish hake loach goby grayling deep sea smelt moonfish hardhead catfish.
This was the best place I ever went!
Queen danio Lost River sucker cuskfish combtail gourami. Ballan wrasse, sand tiger, "quillback bonytongue butterflyfish sandburrower redtooth triggerfish pleco horsefish," armored gurnard mudminnow. Lizardfish hake loach goby grayling deep sea smelt moonfish hardhead catfish. ...
Yellowbelly tail catfish barreleye pineconefish cow shark: New Zealand sand diver squeaker horn shark Kafue pike. Eulachon Atlantic eel tigerperch, manefish deep sea bonefish warty angler. ...
Cuskfish Steve fish barramundi graveldiver panga sand knifefish yellowhead jawfish yellowfin surgeonfish sea catfish? Marlin kappy bonytail chub white croaker slimy mackerel goldfish, "longfin dragonfish clingfish gibberfish mudminnow: slender mola," New Zealand smelt sheepshead plownose chimaera walking catfish. Clown loach tiger shark yellow bass bat ray halfbeak combtooth blenny albacore pencil catfish barbeled dragonfish batfish whalefish prowfish slimehead. Trumpetfish píntano, mummichog. Japanese eel Atlantic trout ray greeneye, spiny dwarf catfish ziege spiny-back zebra trout giant sea bass golden shiner skipping goby, "tang, bluefin tuna, horn shark." ...
Snook false brotula; featherfin knifefish sillago goldfish. Ribbonfish woody sculpin graveldiver, "eel cod, angler kelp perch," crocodile shark Rattail. Crevice kelpfish bowfin eagle ray scaleless black dragonfish nase flagblenny halibut tilapia, bonnetmouth." Half-gill sand diver bonito salmon shark, barred danio; tonguefish parasitic catfish Cherubfish flabby whalefish halosaur lenok peacock flounder carpetshark snakehead. Drum bluntnose knifefish cardinalfish--mora bream.
Feb - March 2017
March - April 2017
April - May 2017
Cost: $650
Cost: $775
Cost: $28/lb


Komodo
talk-trading
A channel to discuss trading. For useful links and more info click the pinned messages to the right.
100 messages
Before 05-Dec-19 12:00 AM
Crabby Paddy
19-Jun-19 10:11 PM
Yep kmd, arrr and Btc
Tek
19-Jun-19 10:11 PM
KMD is the main pair/ base pair?
Crabby Paddy
19-Jun-19 10:11 PM
Not much liquidity yet as we only launched like 2 days ago
Atm Btc trading, but over time there will be more kmd traders for sure
Put up an el cheapo buy order
Keppie
19-Jun-19 10:12 PM
Cmon do it, plug your ref link Paddy
Crabby Paddy
19-Jun-19 10:12 PM
You never know
HAHAHAHHA not allowed in here. Dm me if you wanna use my ref link
Tek
19-Jun-19 10:12 PM
i'll check out soon
Keppie
19-Jun-19 10:12 PM
Alr did
Crabby Paddy
19-Jun-19 10:12 PM
Funds will be put back towards airdrops
Anyway enough offtopic talk
back to komodo
Keppie
19-Jun-19 10:13 PM
Tek is here all night lolz
Mr. Nosleep
Tek
19-Jun-19 10:18 PM
if btc keeps mooning for sure
hyperDEX
19-Jun-19 10:20 PM
@Crabby Paddy
is it live? why is there no links to the "market" as it were
Crabby Paddy
19-Jun-19 10:21 PM
Working for me
https://zaddex.io/t/our-btc
crumb
19-Jun-19 10:21 PM
go to zaddex.io not zaddex.com
Crabby Paddy
19-Jun-19 10:21 PM
Zaddex.com will be updated!
Things are in the works
sorry for confusion
crumb
19-Jun-19 10:21 PM
please let somebody put a proper link to zaddex.com
Crabby Paddy
19-Jun-19 10:22 PM
Has already been added to the list of things to do
Tek
19-Jun-19 10:23 PM
anyone tried out that heartstone tier blockchain game
i forgot the name
Markus
19-Jun-19 10:35 PM
KMD should get a pump from this point unless btc decides to go to moon
Tek
19-Jun-19 10:35 PM
i agre
Markus
19-Jun-19 10:35 PM
KMD retraced to 0.768 fib point
16,4 ish
Tek
19-Jun-19 10:35 PM
whats the next level down?
14k ish?
Markus
19-Jun-19 10:36 PM
didnt check that far
Tek
19-Jun-19 10:36 PM
if btc pulls a moon past 10k i really think kmd will tank to 14k
Markus
19-Jun-19 10:36 PM
very possible
well btc might keep pumping until 13.5k
Tek
19-Jun-19 10:36 PM
I bought back half my stack
Markus
19-Jun-19 10:36 PM
13.5k is 0,618 fib from ATH
Tek
19-Jun-19 10:37 PM
I have orders in all ranges down from here to 13k
Markus
19-Jun-19 10:38 PM
problem for me is i cant keep kmd for long cause i know it will dump
Tek
19-Jun-19 10:38 PM
lmao yeah I had to learn this
holding kmd is not a good idea ( for now )
Markus
19-Jun-19 10:39 PM
i always traded it and took profits whenever i saw opportunities
Tek
19-Jun-19 10:39 PM
i lost quite some sats holding kmd. did go up in usd tho..
Markus
19-Jun-19 10:39 PM
it does not seem to keep having a strong upwards trend
pretty sad
Tek
19-Jun-19 10:39 PM
you could go as far as to say that without whalebro it wouldn't even have bounced back
at all
he drove all the recent increases
Markus
19-Jun-19 10:40 PM
it would of been nice if the pump from 16k up to 29k held atleast 26k and then slowly started going upwards
this dump to below 20k was bad
Tek
19-Jun-19 10:40 PM
yea
new exchange next month tho
kmd should maybe try to get itself listed at more places
it doesn't have a lot of markets at all
Markus
19-Jun-19 10:41 PM
too many shitty exchanges tho
Tek
19-Jun-19 10:41 PM
shit like LTC pumps hard bc you can get it everywhere
hell TRX is probably gonna pump hard cause you can get iit everywhere
Markus
19-Jun-19 10:42 PM
TRX pumps cause its used in 1 billion gambling smart contracts
Tek
19-Jun-19 10:42 PM
if you check out markets, it also has one of the most market pairs
on binanec for example
it even has xrp/trx pair
Markus
19-Jun-19 10:42 PM
KMD really need a USD pair, thats why it is so low also
Tek
19-Jun-19 10:42 PM
trx has 8 pairs on binacne!

Markus
19-Jun-19 10:45 PM
did RFox start operating?


Can you think of an analogy to describe HTML, CSS and the DOM? How would you describe it to your non-technical friend?
I would say that these components are ways of either creating, editing or navigating your way through a website. The HTML is the all the content, all the information about what is on the site. The CSS is the visual aspect of the website, how it looks, the fonts, colors, layouts etc, the overall 'look' of the website. The DOM is a way of navigating through Webpage's code to be able to view and see everything in a specific branch like structur. This enables you to view the page and the code at once, this tool is used to view how the set-up of both the HTML and the CSS together.
What is meant by boxifying design?
Boxifying is a term that is which describes breaking down a webpage into boxes. Everything on a webpage is ultimatly a box, and so being able to boxify when you are looking at webpage enables you to understand how the webpage is set up.
What is the box model?
Putting things into boxes like boxifying.