Java class dependency analyzer.
jdeps [options] classes ...
Command-line options. See Options.
Name of the classes to analyze. You can specify a class that can be found in the class path, by its file name, a directory, or a JAR file.
The jdeps
command shows the package-level or class-level dependencies of Java class files. The input class can be a path name to a .class
file, a directory, a JAR file, or it can be a fully qualified class name to analyze all class files. The options determine the output. By default, jdeps
outputs the dependencies to the system output. It can generate the dependencies in DOT language (see the -dotoutput
option).
Destination directory for DOT file output. If specified, jdeps
will generate one dot file per each analyzed archive named <archive-file-name>.dot listing the dependencies, and also a summary file named summary.dot listing the dependencies among the archives.
Prints dependency summary only.
Prints all class-level dependencies.
Prints package-level dependencies excluding dependencies within the same archive.
Prints class-level dependencies excluding dependencies within the same archive.
Specifies where to find class files.
See also Setting the Class Path.
Finds dependencies in the specified package. You can specify this option multiple times for different packages. The -p
and -e
options are mutually exclusive.
Finds dependencies in packages matching the specified regular expression pattern. The -p
and -e
options are mutually exclusive.
Restricts analysis to classes matching pattern. This option filters the list of classes to be analyzed. It can be used together with -p
and -e
which apply pattern to the dependencies.
Finds class-level dependences in JDK internal APIs. By default, it analyzes all classes specified in the -classpath
option and in input files unless you specified the -include
option. You cannot use this option with the -p
, -e
, and -s
options.
Warning: JDK internal APIs may not be accessible in upcoming releases.
Shows profile or the file containing a package.
Restricts analysis to APIs, for example, dependences from the signature of public
and protected
members of public classes including field type, method parameter types, returned type, and checked exception types.
Recursively traverses all dependencies.
Prints version information.
Prints help message for jdeps
.
Analyzing the dependencies of Notepad.jar.
$ jdeps demo/jfc/Notepad/Notepad.jar demo/jfc/Notepad/Notepad.jar -> /usr/java/jre/lib/rt.jar <unnamed> (Notepad.jar) -> java.awt -> java.awt.event -> java.beans -> java.io -> java.lang -> java.net -> java.util -> java.util.logging -> javax.swing -> javax.swing.border -> javax.swing.event -> javax.swing.text -> javax.swing.tree -> javax.swing.undo
Use -P or -profile option to show on which profile that Notepad depends.
$ jdeps -profile demo/jfc/Notepad/Notepad.jar demo/jfc/Notepad/Notepad.jar -> /usr/java/jre/lib/rt.jar (Full JRE) <unnamed> (Notepad.jar) -> java.awt Full JRE -> java.awt.event Full JRE -> java.beans Full JRE -> java.io compact1 -> java.lang compact1 -> java.net compact1 -> java.util compact1 -> java.util.logging compact1 -> javax.swing Full JRE -> javax.swing.border Full JRE -> javax.swing.event Full JRE -> javax.swing.text Full JRE -> javax.swing.tree Full JRE -> javax.swing.undo Full JRE
Analyzing the immediate dependencies of a specific class in a given classpath, for example the com.sun.tools.jdeps.Main
class in the tools.jar file.
$ jdeps -cp lib/tools.jar com.sun.tools.jdeps.Main lib/tools.jar -> /usr/java/jre/lib/rt.jar com.sun.tools.jdeps (tools.jar) -> java.io -> java.lang
Use the -verbose:class
option to find class-level dependencies or use the -v
or -verbose
option to include dependencies from the same JAR file.
$ jdeps -verbose:class -cp lib/tools.jar com.sun.tools.jdeps.Main lib/tools.jar -> /usr/java/jre/lib/rt.jar com.sun.tools.jdeps.Main (tools.jar) -> java.io.PrintWriter -> java.lang.Exception -> java.lang.Object -> java.lang.String -> java.lang.System
Use the -R
or -recursive
option to analyze the transitive dependencies of the com.sun.tools.jdeps.Main
class.
$ jdeps -R -cp lib/tools.jar com.sun.tools.jdeps.Main lib/tools.jar -> /usr/java/jre/lib/rt.jar com.sun.tools.classfile (tools.jar) -> java.io -> java.lang -> java.lang.reflect -> java.nio.charset -> java.nio.file -> java.util -> java.util.regex com.sun.tools.jdeps (tools.jar) -> java.io -> java.lang -> java.nio.file -> java.nio.file.attribute -> java.text -> java.util -> java.util.jar -> java.util.regex -> java.util.zip /usr/java/jre/lib/jce.jar -> /usr/java/jre/lib/rt.jar javax.crypto (jce.jar) -> java.io -> java.lang -> java.lang.reflect -> java.net -> java.nio -> java.security -> java.security.cert -> java.security.spec -> java.util -> java.util.concurrent -> java.util.jar -> java.util.regex -> java.util.zip -> javax.security.auth -> sun.security.jca JDK internal API (rt.jar) -> sun.security.util JDK internal API (rt.jar) javax.crypto.spec (jce.jar) -> java.lang -> java.security.spec -> java.util /usr/java/jre/lib/rt.jar -> /usr/java/jre/lib/jce.jar java.security (rt.jar) -> javax.crypto
Generate dot files of the dependencies of Notepad demo.
$ jdeps -dotoutput dot demo/jfc/Notepad/Notepad.jar
jdeps
will create one dot file for each given JAR file named <filename>.dot in the dot directory specified in the -dotoutput
option, and also a summary file named summary.dot that will list the dependencies among the JAR files
$ cat dot/Notepad.jar.dot digraph "Notepad.jar" { // Path: demo/jfc/Notepad/Notepad.jar "<unnamed>" -> "java.awt"; "<unnamed>" -> "java.awt.event"; "<unnamed>" -> "java.beans"; "<unnamed>" -> "java.io"; "<unnamed>" -> "java.lang"; "<unnamed>" -> "java.net"; "<unnamed>" -> "java.util"; "<unnamed>" -> "java.util.logging"; "<unnamed>" -> "javax.swing"; "<unnamed>" -> "javax.swing.border"; "<unnamed>" -> "javax.swing.event"; "<unnamed>" -> "javax.swing.text"; "<unnamed>" -> "javax.swing.tree"; "<unnamed>" -> "javax.swing.undo"; } $ cat dot/summary.dot digraph "summary" { "Notepad.jar" -> "rt.jar"; }


Architects: 70ºN Arkitektur
Project Team: Magdalena Haggärde, Joar Lillerust, Gisle Løkken, Kjeld Nash, Anniken Romuld, Petra Schnutenhaus
Location: Tromsø, Norway
Contractor: Bjørn Bygg AS
Site Area: 622 sqm
Outdoor Area: 1,825 sqm + 1,712 sqm
Construction year: 2006
Photographs:Ivan Brodey
The kindergarten is organized in a number of longitudinal zones from the exterior playground, the roofed outdoor terraces that gives a good micro climate (very important in our rough climate), ‘the indoor street’ with water-play areas and a winter garden feel to it, the bases and to the innermost reading nooks and mezzanines. These zones contribute to make a soft transition from the exterior to the interior spaces – from the exposed wide landscape to the intimate zones.
The ‘rough’ wardrobes, the kitchen and the playing rooms are peeking out of the facade. The four bases each have an inner wardrobe which also can be used as a play area. The bases can be opened or closed off towards the indoor street and wardrobes, and each have two adjustable playing walls. The reading nooks and mezzanines are more intimate spaces for quieter activities.
The kindergartens have been built to have the possibility of variety in the use of rooms. With very simple moves one can change each room into new rooms of various sizes and functions. There are several options for combinations and joint actions of rooms and spaces. Flexibility is also guaranteed by the inner walls in every base station (fixed in one end, and wheels on the other). They can be turned like indicators round an axis and be put in different positions and make various smaller rooms in the big base room.


click anywhere for degeneracy.
controls: up arrow key (+clockwise) - down arrow key (-anti-clockwise) - s key (stop) - r key (reset) - m key (toggle sound)


This book attempts to document how CSS reprocessing works, provide explanations of the most useful CSS reprocessing techniques, and to offer syntax examples and the pieces required to make these techniques work.
Note: This is currently a “Work in Progress”. Feel free to browse around, read the content that’s here already, and get a feel for the content that will be coming soon.
Get the Latest TechniquesTo stay up to date with the latest responsive experiments, techniques, and plugins, signup up for The Responsive Report newsletter:


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{% extends "saas/base.html" %} {% block content %} {% include "saas/organization_users.html" with title="managers" users=managers %} {% include "saas/organization_users.html" with title="contributors" users=contributors %} {% endblock %}


--- layout: post title: "The State functor" description: "Stateful computations as a functor. An example for object-oriented programmers." date: 2021-07-19 15:00 UTC tags: [Software Design, Functional Programming] --- {% include JB/setup %}
{{ page.description }}
This article is an instalment in an article series about functors. In a previous article, you saw how to implement the Maybe functor in C#. In this article, you'll see another functor example: State.
In functional programming, sooner or later a particular question comes up: How do you implement a stateful computation without mutating state?
You use a polymorphic function that takes the current state as input and returns the new state and a result as output. In a C-based language like C#, you can model it as an interface:
public interface IState<S, T> { Tuple<T, S> Run(S state); }
The interface is generic in both the type of state and the type of return value. Notice that the type declaration lists the state type S
before the type of the value T
, whereas the returned tuple lists T
before S
. This is quite confusing, but is how Haskell does it. Not ideal, but I've chosen to keep that convention for the benefit of readers who'd like to compare the various implementations.
This article introduces the implementation and machinery of the type. In a later article I'll show an example.
You can implement the interface by doing something useful, or, as in the following example, something fatuous like expanding (or contracting) all vowels in a word according to an integer state:
private class VowelExpander : IState<int, string> { private readonly string text; public VowelExpander(string text) { this.text = text; } public Tuple<string, int> Run(int state) { const string vowels = "aeiouy"; var expanded = text.SelectMany(c => vowels.Contains(c) ? Enumerable.Repeat(c, state) : new[] { c }); var newState = state + 1; return Tuple.Create(new string(expanded.ToArray()), newState); } }
This class repeats each vowel in a string by the number indicated by the current state. It also increments the state. Here's a parametrised test that shows how various input produces different outputs:
[Theory] [InlineData("foo", 0, "f")] [InlineData("foo", 1, "foo")] [InlineData("foo", 2, "foooo")] [InlineData("bar", 0, "br")] [InlineData("bar", 1, "bar")] [InlineData("bar", 2, "baar")] public void BasicUsageExample(string txt, int count, string expected) { IState<int, string> s = new VowelExpander(txt); Tuple<string, int> t = s.Run(count); Assert.Equal(Tuple.Create(expected, count + 1), t); }
That's just one, simple stateful computation.
You can turn the IState
interface into a functor by adding an appropriate Select
method:
public static IState<S, T1> Select<S, T, T1>( this IState<S, T> source, Func<T, T1> selector) { return new SelectState<S, T, T1>(source, selector); } private class SelectState<S, T, T1> : IState<S, T1> { private IState<S, T> source; private Func<T, T1> selector; public SelectState(IState<S, T> source, Func<T, T1> selector) { this.source = source; this.selector = selector; } public Tuple<T1, S> Run(S state) { Tuple<T, S> tuple = source.Run(state); T1 projection = selector(tuple.Item1); return Tuple.Create(projection, tuple.Item2); } }
A functor maps from one contained type to another, in this case from T
to T1
, while the state type S
remains the same. Notice that it's possible to change the value of the state, but not the type. Even though the State functor has two generic type arguments, it's not a bifunctor. You can pick any type you'd like for S
, such as int
in the above VowelExpander
, but once you've picked a type for the state, you can't project it. It's possible to prove that you can't implement a lawful mapping for the S
dimension of State, but if you'd like to understand it intuitively, it's a great exercise to try to implement a function from IState<S, T>
to IState<S1, T>
. Try it, and you'll soon learn why this is impossible.
Here's an example of using the Select
method to project an IState<int, string>
to IState<int, int>
:
[Fact] public void BasicSelectExample() { IState<int, string> s = new VowelExpander("bar"); IState<int, int> projection = s.Select(x => x.Length); Tuple<int, int> t = projection.Run(2); Assert.Equal(Tuple.Create(4, 3), t); }
As usual, you can also use query syntax:
[Fact] public void QuerySyntaxExample() { IState<int, string> s = new VowelExpander("baz"); IState<int, DayOfWeek> projection = from txt in s select txt.Length % 2 == 0 ? DayOfWeek.Friday : DayOfWeek.Sunday; Tuple<DayOfWeek, int> t = projection.Run(3); Assert.Equal(Tuple.Create(DayOfWeek.Sunday, 4), t); }
This is, once again, a nonsensical function that only exists to show that arbitrary projections are possible.
The Select
method obeys the first functor law. As usual, it's proper computer-science work to actually prove this, but you can write some tests to demonstrate the first functor law for the IState<S, T>
interface. In this article, you'll see parametrised tests written with xUnit.net. First, the first functor law:
[Theory] [InlineData(DayOfWeek.Monday)] [InlineData(DayOfWeek.Tuesday)] [InlineData(DayOfWeek.Wednesday)] [InlineData(DayOfWeek.Thursday)] [InlineData(DayOfWeek.Friday)] [InlineData(DayOfWeek.Saturday)] [InlineData(DayOfWeek.Sunday)] public void FirstFunctorLaw(DayOfWeek day) { Func<Guid, Guid> id = g => g; IState<DayOfWeek, Guid> s = new DayIdentifier(); Assert.Equal(s.Run(day), s.Select(id).Run(day)); }
This test uses another frivolous IState
implementation:
private class DayIdentifier : IState<DayOfWeek, Guid> { public static readonly Guid Monday = new Guid("5AB18569-29C7-4041-9719-5255266B808D"); public static readonly Guid OtherDays = new Guid("00553FC8-82C9-40B2-9FAA-F9ADFFD4EE66"); public Tuple<Guid, DayOfWeek> Run(DayOfWeek state) { if (state == DayOfWeek.Monday) return Tuple.Create(Monday, DayOfWeek.Tuesday); return Tuple.Create(OtherDays, DayOfWeek.Monday); } }
I only chose to write another implementation of IState
to show a bit of variation, and to demonstrate that both S
and T
can be whichever type you need them to be.
The above test cases pass.
Like the above example, you can also write a parametrised test that demonstrates that IState
obeys the second functor law:
[Theory] [InlineData( "foo", 0)] [InlineData( "bar", 1)] [InlineData( "baz", 2)] [InlineData("quux", 3)] public void SecondFunctorLaw(string txt, int i) { Func<string, int> g = x => x.Length; Func<int, bool> f = x => x % 2 == 0; var s = new VowelExpander(txt); Assert.Equal( s.Select(g).Select(f).Run(i), s.Select(x => f(g(x))).Run(i)); }
This test defines two local functions, f
and g
. Instead of explicitly declaring the functions as
Func
variables, this test uses a (relatively) new C# feature called local functions.
You can't easily compare two different functions for equality, so this test defines equality as the functions producing the same result when you Run
them.
Again, while the test doesn't prove anything, it demonstrates that for the five test cases, it doesn't matter if you project the state s
in one or two steps.
In Haskell, State is available in the mtl package. You can implement the behaviour from VowelExpander
like this:
expandVowels :: String -> Int -> (String, Int) expandVowels text s = let vowels = "aeiouy" expanded = text >>= (\c -> if c `elem` vowels then replicate s c else [c]) newState = s + 1 in (expanded, newState)
Instead of defining an interface, you can use any function s -> (a, s)
, which you can elevate to the State functor using a function called state
. You can then use fmap
or <$>
to map the value:
> runState (length <$> state (expandVowels "bar")) 2 (4,3)
You can see a more useful example of the Haskell State functor in use in the article An example of state-based testing in Haskell.
A function that takes a state value as input and returns a value and a (potentially new) state value as output is a functor known as State. It can be used as a convenient way to express stateful computations as pure functions.
Next: The Reader functor.


|
Dojo's dijit.layout.TabContainer Dijit, created declaratively:
Tyson would win because he'd devour his opponent... LITERALLY.
Ali would win because he would simply talk his opponent to death.
Come on, is there really any doubt Frazier is the best? Err, ok,
you're right, Ali is. Sorry Joe!
Programmatically-created Dijit: |


Idukki:The Spice Garden of Kerala
Idukki, a landlocked district of Kerala, is one of the most nature-rich areas in Kerala with more than half of the area covered with forest. This rugged hill resort is known for its wildlife sanctuaries, beautiful bungalows, tea factories, rubber plantations and forests.
Idukki's speciality lies in 650 feet long and 550 feet high arch dam across the Kuravan Kurathi mountain, which is the largest in the country. Anamudi, which is the highest peak in India, south of the Himalayas, is also located in Idukki. Idukki is one of the districts in the state that has abundant scope for promotion of eco-tourism if proper infrastructure and promotional activities are provided.
Idukki is Kerala's second largest district and has been blessed with numerous natural wonders. The high valleys and hill ranges of this landlocked region are fed by three major rivers - Periyar, Thalayar and Thodupuzhayar and their tributaries. Its forest still hosts many tribes and over half of the terrain is still covered with forests. People love going to the gigantic arch dam for getting its mesmerising view. Blessed with a wide range of trekking trail, each of them offers a spectacular view of the valley below and ranges above of Idukki. The place is also renowned for its exotic flora and fauna and one can come across many rare species while visiting Idukki
Top Destinations
Eravikulam National Park
Anamudi
Mattupetti Dam
Lakkam Waterfalls Munnar
Idukki, a landlocked district of Kerala, is one of the most nature-rich areas in Kerala with more than half of the area covered with forest. This rugged hill resort is known for its wildlife sanctuaries, beautiful bungalows, tea factories, rubber plantations and forests. Idukki's speciality lies in 650 feet long and 550 feet high arch dam across the Kuravan Kurathi mountain, which is the largest in the country. Anamudi, which is the highest peak in India, south of the Himalayas, is also located in Idukki. Idukki is one of the districts in the state that has abundant scope for promotion of eco-tourism if proper infrastructure and promotional activities are provided. Idukki is Kerala's second largest district and has been blessed with numerous natural wonders. The high valleys and hill ranges of this landlocked region are fed by three major rivers - Periyar, Thalayar and Thodupuzhayar and their tributaries. Its forest still hosts many tribes and over half of the terrain is still covered with forests. People love going to the gigantic arch dam for getting its mesmerising view. Blessed with a wide range of trekking trail, each of them offers a spectacular view of the valley below and ranges above of Idukki. The place is also renowned for its exotic flora and fauna and one can come across many rare species while visiting Idukki


The
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highlighting, or placed lower in relationship to the surrounding text. Subscripted text is
often a smaller font than the surrounding text. Formatting may vary depending on your
output process. This element is part of the highlighting domain. Use this element only when
a more semantically appropriate element is not available.
Category: Highlighting elements


--- layout: page title: "Thank you" ---
Thank you for taking your time writing out that message. I will try and get back in contact with you as soon as possible.
In the mean time why don't you check out my blog or just return to my homepage. Use Twitter? Make sure you tweet me to indicate that you have sent me a message!


The levels of organization of complex networks:
Degree is most commonly used, but there are other measures of the relative importance of a single node in a network.
Network topology statistics such as node degree, degree distribution, centralitiy, clustering coefficient, shortest paths, and robustness of the network to the random removal of single nodes are important network characteristics.
Modularity refers to the identification of sub-networks of interconnected nodes that might represent molecules physically or functionally linked that work coordinately to achieve a specific function.
Motif analysis is the identification of small network patterns that are over-represented when compared with a randomized version of the same network. Regulatory elements are often composed of such motifs.
Network alignment and comparison tools can identify similarities between networks and have been used to study evolutionary relationships between protein networks of organisms.


About
http://github.com/chuckfairy/ether-sheet-music
If you have issues, please leave a report on the github page. Or contact us at ethermusicio(AT)protonmail.com. Enjoy
FAQ
What is the range of the piece?
The range of notes is for a full sized piano. A0 - C8 http://newt.phys.unsw.edu.au/jw/notes.html.
What if my part is impossible to play?
Nothing is impossible
What key are we in?
The key of love baby
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if
statement or
conditional expression but which are not used inside the
if
statement. Usually this either means that
the check is unnecessary or that the variable is not referenced inside the
if
statement because of a typo.
Example:
void test(Integer i) { if (i != null) { // here 'i' is not used inside 'if' statement System.out.println(); } }


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Classes
Members
(inner, constant) build :string
Type:
- string
- Source:
(inner, constant) PDFWorker :any
Type:
- any
- Source:
(inner, constant) version :string
Type:
- string
- Source:
Methods
(inner) getDocument(src) → {PDFDocumentLoadingTask}
This is the main entry point for loading a PDF and interacting with it.
NOTE: If a URL is used to fetch the PDF data a standard Fetch API call (or
XHR as fallback) is used, which means it must follow same origin rules,
e.g. no cross-domain requests without CORS.
Parameters:
| Name | Type | Description |
|---|---|---|
src |
string | TypedArray | DocumentInitParameters | PDFDataRangeTransport | Can be a URL to where a PDF file is located, a typed array (Uint8Array) already populated with data or parameter object. |
- Source:
Returns:
- Type
- PDFDocumentLoadingTask
Type Definitions
DocumentInitParameters
Document initialization / loading parameters object.
Type:
- Object
Properties:
| Name | Type | Attributes | Description |
|---|---|---|---|
url |
string |
<optional> |
The URL of the PDF. |
data |
TypedArray | Array.<number> | string |
<optional> |
Binary PDF data. Use typed arrays (Uint8Array) to improve the memory usage. If PDF data is BASE64-encoded, use `atob()` to convert it to a binary string first. |
httpHeaders |
Object |
<optional> |
Basic authentication headers. |
withCredentials |
boolean |
<optional> |
Indicates whether or not cross-site Access-Control requests should be made using credentials such as cookies or authorization headers. The default is `false`. |
password |
string |
<optional> |
For decrypting password-protected PDFs. |
initialData |
TypedArray |
<optional> |
A typed array with the first portion or all of the pdf data. Used by the extension since some data is already loaded before the switch to range requests. |
length |
number |
<optional> |
The PDF file length. It's used for progress reports and range requests operations. |
range |
PDFDataRangeTransport |
<optional> |
Allows for using a custom range transport implementation. |
rangeChunkSize |
number |
<optional> |
Specify maximum number of bytes fetched per range request. The default value is DEFAULT_RANGE_CHUNK_SIZE. |
worker |
PDFWorker |
<optional> |
The worker that will be used for loading and parsing the PDF data. |
verbosity |
number |
<optional> |
Controls the logging level; the constants from VerbosityLevel should be used. |
docBaseUrl |
string |
<optional> |
The base URL of the document, used when attempting to recover valid absolute URLs for annotations, and outline items, that (incorrectly) only specify relative URLs. |
cMapUrl |
string |
<optional> |
The URL where the predefined Adobe CMaps are located. Include the trailing slash. |
cMapPacked |
boolean |
<optional> |
Specifies if the Adobe CMaps are binary packed or not. |
CMapReaderFactory |
Object |
<optional> |
The factory that will be used when reading built-in CMap files. Providing a custom factory is useful for environments without Fetch API or `XMLHttpRequest` support, such as Node.js. The default value is {DOMCMapReaderFactory}. |
stopAtErrors |
boolean |
<optional> |
Reject certain promises, e.g. `getOperatorList`, `getTextContent`, and `RenderTask`, when the associated PDF data cannot be successfully parsed, instead of attempting to recover whatever possible of the data. The default value is `false`. |
maxImageSize |
number |
<optional> |
The maximum allowed image size in total pixels, i.e. width * height. Images above this value will not be rendered. Use -1 for no limit, which is also the default value. |
isEvalSupported |
boolean |
<optional> |
Determines if we can evaluate strings as JavaScript. Primarily used to improve performance of font rendering, and when parsing PDF functions. The default value is `true`. |
disableFontFace |
boolean |
<optional> |
By default fonts are converted to OpenType fonts and loaded via `@font-face` rules. If disabled, fonts will be rendered using a built-in font renderer that constructs the glyphs with primitive path commands. The default value is `false`. |
fontExtraProperties |
boolean |
<optional> |
Include additional properties, which are unused during rendering of PDF documents, when exporting the parsed font data from the worker-thread. This may be useful for debugging purposes (and backwards compatibility), but note that it will lead to increased memory usage. The default value is `false`. |
ownerDocument |
HTMLDocument |
<optional> |
Specify an explicit document context to create elements with and to load resources, such as fonts, into. Defaults to the current document. |
disableRange |
boolean |
<optional> |
Disable range request loading of PDF files. When enabled, and if the server supports partial content requests, then the PDF will be fetched in chunks. The default value is `false`. |
disableStream |
boolean |
<optional> |
Disable streaming of PDF file data. By default PDF.js attempts to load PDF files in chunks. The default value is `false`. |
disableAutoFetch |
boolean |
<optional> |
Disable pre-fetching of PDF file data. When range requests are enabled PDF.js will automatically keep fetching more data even if it isn't needed to display the current page. The default value is `false`. NOTE: It is also necessary to disable streaming, see above, in order for disabling of pre-fetching to work correctly. |
pdfBug |
boolean |
<optional> |
Enables special hooks for debugging PDF.js (see `web/debugger.js`). The default value is `false`. |
- Source:
GetAnnotationsParameters
Page annotation parameters.
Type:
- Object
Properties:
| Name | Type | Description |
|---|---|---|
intent |
string | Determines the annotations that will be fetched, can be either 'display' (viewable annotations) or 'print' (printable annotations). If the parameter is omitted, all annotations are fetched. |
- Source:
getTextContentParameters
Page getTextContent parameters.
Type:
- Object
Properties:
| Name | Type | Description |
|---|---|---|
normalizeWhitespace |
boolean | Replaces all occurrences of whitespace with standard spaces (0x20). The default value is `false`. |
disableCombineTextItems |
boolean | Do not attempt to combine same line TextItem's. The default value is `false`. |
- Source:
GetViewportParameters
Page getViewport parameters.
Type:
- Object
Properties:
| Name | Type | Attributes | Description |
|---|---|---|---|
scale |
number | The desired scale of the viewport. | |
rotation |
number |
<optional> |
The desired rotation, in degrees, of the viewport. If omitted it defaults to the page rotation. |
offsetX |
number |
<optional> |
The horizontal, i.e. x-axis, offset. The default value is `0`. |
offsetY |
number |
<optional> |
The vertical, i.e. y-axis, offset. The default value is `0`. |
dontFlip |
boolean |
<optional> |
If true, the y-axis will not be flipped. The default value is `false`. |
- Source:
OutlineNode
Type:
- Object
Properties:
| Name | Type | Description |
|---|---|---|
title |
string | |
bold |
boolean | |
italic |
boolean | |
color |
Uint8ClampedArray | The color in RGB format to use for display purposes. |
dest |
string | Array.<any> | null | |
url |
string | null | |
unsafeUrl |
string | undefined | |
newWindow |
boolean | undefined | |
count |
number | undefined | |
items |
Array.<OutlineNode> |
- Source:
PDFDocumentLoadingTask
The loading task controls the operations required to load a PDF document
(such as network requests) and provides a way to listen for completion,
after which individual pages can be rendered.
Type:
- Object
Properties:
| Name | Type | Attributes | Description |
|---|---|---|---|
docId |
string | Unique identifier for the document loading task. | |
destroyed |
boolean | Whether the loading task is destroyed or not. | |
onPassword |
function |
<optional> |
Callback to request a password if a wrong or no password was provided. The callback receives two parameters: a function that should be called with the new password, and a reason (see PasswordResponses). |
onProgress |
function |
<optional> |
Callback to be able to monitor the loading progress of the PDF file (necessary to implement e.g. a loading bar). The callback receives an {Object} with the properties `loaded` ({number}) and `total` ({number}) that indicate how many bytes are loaded. |
onUnsupportedFeature |
function |
<optional> |
Callback for when an unsupported feature is used in the PDF document. The callback receives an UNSUPPORTED_FEATURES argument. |
promise |
Promise.<PDFDocumentProxy> | Promise for document loading task completion. | |
destroy |
function | Abort all network requests and destroy the worker. Returns a promise that is resolved when destruction is completed. |
- Source:
PDFDocumentStats
Type:
- Object
Properties:
| Name | Type | Description |
|---|---|---|
streamTypes |
Object.<string, boolean> | Used stream types in the document (an item is set to true if specific stream ID was used in the document). |
fontTypes |
Object.<string, boolean> | Used font types in the document (an item is set to true if specific font ID was used in the document). |
- Source:
PDFOperatorList
PDF page operator list.
Type:
- Object
Properties:
| Name | Type | Description |
|---|---|---|
fnArray |
Array.<number> | Array containing the operator functions. |
argsArray |
Array.<any> | Array containing the arguments of the functions. |
- Source:
PDFWorkerParameters
Type:
- Object
Properties:
| Name | Type | Attributes | Description |
|---|---|---|---|
name |
string |
<optional> |
The name of the worker. |
port |
Object |
<optional> |
The `workerPort` object. |
verbosity |
number |
<optional> |
Controls the logging level; the constants from VerbosityLevel should be used. |
- Source:
RenderParameters
Page render parameters.
Type:
- Object
Properties:
| Name | Type | Attributes | Description |
|---|---|---|---|
canvasContext |
Object | A 2D context of a DOM Canvas object. | |
viewport |
PageViewport | Rendering viewport obtained by calling the `PDFPageProxy.getViewport` method. | |
intent |
string |
<optional> |
Rendering intent, can be 'display' or 'print'. The default value is 'display'. |
enableWebGL |
boolean |
<optional> |
Enables WebGL accelerated rendering for some operations. The default value is `false`. |
renderInteractiveForms |
boolean |
<optional> |
Whether or not interactive form elements are rendered in the display layer. If so, we do not render them on the canvas as well. |
transform |
Array.<any> |
<optional> |
Additional transform, applied just before viewport transform. |
imageLayer |
Object |
<optional> |
An object that has `beginLayout`, `endLayout` and `appendImage` functions. |
canvasFactory |
Object |
<optional> |
The factory instance that will be used when creating canvases. The default value is {new DOMCanvasFactory()}. |
background |
Object | string |
<optional> |
Background to use for the canvas.
Any valid `canvas.fillStyle` can be used: a `DOMString` parsed as CSS
|
annotationStorage |
AnnotationStorage |
<optional> |
Storage for annotation data in forms. |
optionalContentConfigPromise |
Promise.<OptionalContentConfig> |
<optional> |
A promise that should resolve with an OptionalContentConfig created from `PDFDocumentProxy.getOptionalContentConfig`. If `null`, the configuration will be fetched automatically with the default visibility states set. |
- Source:
TextContent
Page text content.
Type:
- Object
Properties:
| Name | Type | Description |
|---|---|---|
items |
Array.<TextItem> | Array of TextItem objects. |
styles |
Object.<string, TextStyle> | TextStyle objects, indexed by font name. |
- Source:
TextItem
Page text content part.
Type:
- Object
Properties:
| Name | Type | Description |
|---|---|---|
str |
string | Text content. |
dir |
string | Text direction: 'ttb', 'ltr' or 'rtl'. |
transform |
Array.<any> | Transformation matrix. |
width |
number | Width in device space. |
height |
number | Height in device space. |
fontName |
string | Font name used by PDF.js for converted font. |
- Source:
TextStyle
Text style.
Type:
- Object
Properties:
| Name | Type | Description |
|---|---|---|
ascent |
number | Font ascent. |
descent |
number | Font descent. |
vertical |
boolean | Whether or not the text is in vertical mode. |
fontFamily |
string | The possible font family. |
- Source:
TypedArray
Type:
- Int8Array | Uint8Array | Uint8ClampedArray | Int16Array | Uint16Array | Int32Array | Uint32Array | Float32Array | Float64Array
- Source:


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{% extends "templates/structure.html" %} {% block header-content %}
Design © 2013 Thomas Park | Design and Content © 2017-2018 Clozhang


Preparation time
less than 30 mins
Cooking time
10 to 30 mins
Serves
Serves 4
For the seabass marinade, blend the lime juice, coriander, parsley, thyme, allspice, Worcestershire sauce, chilli, spring onions and half of the olive oil in a food processor until smooth. Season, to taste, with salt and freshly ground black pepper.
Lay the sea bass fillets into a shallow glass or ceramic dish and pour over the seabass marinade. Cover the dish with cling film and chill in the fridge for 15-20 minutes. (NB: Do not leave the fish any longer or the citric acid from the lime juice will start to 'cook' it.)
Meanwhile, for the cou-cou, slice the block of ready-made polenta into four long pieces. Sprinkle the flour onto a plate and season, to taste, with salt and freshly ground black pepper. Dredge the blocks of polenta in the seasoned flour until they are completely covered.
Heat the vegetable oil in a pan over a medium to high heat. Add the blocks of polenta and sprinkle over the thyme leaves. Fry for 1-2 minutes on each side, or until pale golden-brown on all sides.
Heat the butter in a separate frying pan over a medium heat. Add the okra, onion, garlic, the remaining thyme and the salt and fry for 4-5 minutes, or until softened. Remove the pan from the heat and set aside.
Heat the remaining vegetable oil for the sea bass in a heavy-based frying pan over a medium heat. Shake the sea bass fillets to remove any excess marinade, then add them to the pan, skin-side down, and fry for 1-2 minutes, or until crisp.
Carefully turn the sea bass fillets over and fry for a further 1-2 minutes, or until completely cooked through.
For the tomato and lime salsa, heat the vegetable oil in a separate frying pan over a medium heat. Add the tomatoes, spring onions and Scotch bonnet chilli and fry for 3-4 minutes, or until softened.
Pour over the lime juice and season, to taste, with salt and freshly ground black pepper.
To serve, place one sea bass fillet onto each of four serving plates. Drizzle over the olive oil. Spoon the cou-cou, okra and tomato and lime salsa alongside.


Hello %userdisplayname%,
You are logging in to our website and we need 2nd step verification.
Please copy and paste the following code. The code will be expire after %expiredatetime%.
%mfacode%
If this is not your action, please reset your password as soon as possible.
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IP address: %ipaddress%
Sincerely.


--- layout: page title: Siyao Liu subtitle: PhD student at UNC, Chapel Hill use-site-title: true --- I'm pursuing a PhD in Bioinformatics & Computational Biology at the University of North Carolina at Chapel Hill. My research interests include bioinformatics, statistical genetics and cancer genomics. Being advised by Prof. Charles Perou and Prof. Steve Marron, my PhD dissertation focuses on developing statistical methods and computational tools for analyzing single cell RNA-seq data.
Contact: siyao@email.unc.edu


JDK 13 Security Enhancements JDK 13 has been released! As with my JDK 12 blog, I have gathered up a list of the most interesting and useful security enhancements in this release. And as before, I have grouped them into appropriate categories (crypto, TLS, etc) which should make it e...

We've, um, changed our password policy, says CafePress amid reports of 23m pwned accounts Three-quarters of email addys already in breach database
US in the midst of a white nationalist terrorism crisis Far-right extremists were responsible for 100 per cent of all terrorist attacks on US soil since the end of 2017.
.NET project structure .NET project structure. GitHub Gist: instantly share code, notes, and snippets.
Netflix cancels sci-fi series The OA, leaving fans with a cliff-hanger Fans of the the mind-bending series still want answers.
dotnet/csharplang The official repo for the design of the C# programming language - dotnet/csharplang
dotnet/coreclr CoreCLR is the runtime for .NET Core. It includes the garbage collector, JIT compiler, primitive data types and low-level classes. - dotnet/coreclr


Xiaomi Patents Foldable Smartphone Similar To The Motorola Razr
Xiaomi has patented yet another foldable smartphone design, and this one is similar to the Motorola Razr. The company submitted this patent back in July of 2018, and it was approved at the end of October this year.
The patent was submitted with CNIPA (China Patent Office), and Xiaomi also provided some sketches as part of it. That is the usual practice when companies submit design patents, of course.
Xiaomi quite probably got inspired by the Motorola Razr
It is difficult not to see that Xiaomi got inspired by the Motorola Razr for this device. The device folds vertically, right down the middle, and it has two displays.
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The main display is visible when the phone is unfolded, and based on the provided sketches, we're looking at a rather high display. If we had to guess, we'd say that this panel has a 21:9 aspect ratio, just like the one on the Motorola Razr.
The top bezel of the main display is noticeably thicker than the bottom one. Xiaomi will include a front-facing camera up there, at least one. Bezels are generally quite thin, though.
The display on the outside seems to be smaller than the one on the Motorola Razr. This is actually quite a tiny display which will show only some basic information. Think of it as a display on a smartwatch or a fitness tracker.
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Two cameras are included on the back of this phone, and they are vertically-aligned. In-between those two cameras, an LED flash is located, it seems.
Based on these sketches, this phone will feature a zero-gap hinge as well, just like the Motorola Razr. We've seen that hinge in action yesterday, as Motorola announced its first foldable smartphone. This is something that Motorola did right, better than Samsung, it seems.
This phone may not even become a reality
We're not sure if this phone will become a reality or not. Every company submits a number of such patents, but doesn't manufacture all of them. Xiaomi still has to release its first foldable smartphone, and based on what we've seen thus far, it will fold horizontally, not vertically.
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This phone may still become a reality in the future, though. Xiaomi probably won't confirm anything anytime soon, though, so don't hold your breath.
Xiaomi actually patented another rather interesting foldable smartphone recently. That device includes five pop-up cameras, and it folds horizontally. That phone was also patented over at CNIPA.
Xiaomi is just one of many OEMs who are looking to unveil their foldable devices in the next year or so. It remains to be seen when is Xiaomi planning to show off its first foldable, though. We were expecting that to happen by the end of the year, and that is still possible. On the other hand, we may have to wait until 2020.
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Find all the Open Source Events happening around the globe month-wise and never miss any opportunity to learn and grow from the experts 😉
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Know all of it and much more from the gurus.
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To empower Open Source and create an environment of excellent individuals who believe in the power of Open Source and Community Building.


One of the brave and patriotic women who played a heroic role in the Philippine revolution.
Born in Kalookan City, on May 9, 1875. Wife of Andres Bonifacio and Lakambini of the Katipunan.
She actually fought alongside her husband during the revolution, aside from being the custodian of the Katipunan documents.
She organized the Katipunan's Women Chapter. She died on March 15, 1943.


The gsize960/siz960 section size printer ("sizer") prints the number of bytes required for each section of an object file, and their sum. It also displays the address for each of the sections.
The invocation command is:
gsize960 | siz960 [ -option ]... [ file ]
Each option must be preceded by a - character. (On DOS, you can also use a / character.) The options are listed below. If no options are specified, sizes are displayed in decimal and addresses are displayed in hex.
file identifies an object file. If the file is an object library, the sizer reports the size for each member of the library. If file is omitted, the sizer reports the size of a.out, b.out, or e.out.
Return to the top of this page.


| standard taglib implementation of the JSP Standard Tag Library |
| Examples Introduction General Purpose Conditionals Iterators Import I18N & Formatting XML SQL Functions TLV |
This web application includes a variety of sample JSP pages that showcase the Tomcat Standard tags.
The JSTL examples have been divided in the following categories:
The navigation bar at the top of each index page provides quick navigation to each set of example pages.
When navigating the examples, the following icons will allow you to look at the source code as well as execute the example JSP page.
| Look at the source code of the example JSP page | |
| Execute the example JSP page |
The source code for the JSTL examples includes class startup.Init
to initilialize the objects used in the examples. This allows us to mimic the
environment that would normally be used within an MVC architecture: the Controller
invokes the business logic, saves the objects required by the web application
into JSP scoped attributes (usually request), and then invokes the proper JSP
page. For the sake of this "examples" webapp, all objects are saved
in the application scope.
The application attributes are:
customers
intArray
stringArray
numberMap
enumeration
The classes of interest that hold the information manipulated by the JSP pages are:
| standard taglib implementation of the JSP Standard Tag Library |


Company profile - Canadian Company Capabilities
Third-Party Information Liability Disclaimer
Some of the information on this Web page has been provided by external sources. The Government of Canada is not responsible for the accuracy, reliability or currency of the information supplied by external sources. Users wishing to rely upon this information should consult directly with the source of the information. Content provided by external sources is not subject to official languages, privacy and accessibility requirements.
Haivision Systems Inc.
Legal Name:
Haivision Systems Inc.
Operating Name:
Haivision
Mailing Address:
4445 Garand StSAINT-LAURENT, Quebec
H4R 2H9
Location Address:
4445 Garand StSAINT-LAURENT, Quebec
H4R 2H9
Tel.:<PHONE_NUMBER>
Fax:<PHONE_NUMBER>
Logo
Company Profile
Haivision delivers end-to-end solutions for streaming, encoding, recording, managing, and distributing secure IP video and interactive media within the enterprise, education, medical/healthcare, and federal/military industries. Haivision is a private company based in Montreal and Chicago with regional offices in Austin, Tx; Atlanta, Ga.; Portland, Or.; Washington D.C. and Hamburg, Germany. With a global sales and support organization, Haivision distributes its products through value-added resellers, system integrators, distributors, and OEMs worldwide. More information is available at www.haivision.com.
Full profile
Full profile
Contact information
Company description
Product / Service / Licensing
The Makito X delivers highly efficient encoding, with up to twice the quality within a given bandwidth or savings of up to half the bandwidth for the same quality compared to industry-leading encoders. With stream quality that is on par with broadcast-quality encoders at higher bitrates, the Makito X encoder delivers pristine quality at bitrates lower than 2Mbps - ideal for Internet or satellite transport of video.
Haivision's Secure Reliable Transport (SRT) technology provides end-to-end security, resiliency and dynamic endpoint adjustment based on real-time network conditions to deliver the best video quality at all times. With SRT, you can optimize video streaming across unpredictable networks, like the Internet, by assuring quality-of-service when faced with packet loss, jitter, latency, and fluctuating bandwidth. Available within the Makito X encoders and decoders, SRT offers significant operational flexibility and cost savings over (or compared to) satellite or custom network infrastructures.
With an extremely low encoding latency of 55 milliseconds and complete audio and video synchronization, Makito X delivers rich media for your daily communication or mission-critical distribution needs. The Makito X encoder can be paired with the InStream performance player to service desktops, laptops and mobile devices.
With 4 internal encoding engines, the Makito X can encode video at up to 4 different bitrates and profiles for multi-bitrate (MBR) streaming to optimize video distribution. Each engine can be directed to multiple network destinations concurrently - unicast, multicast, TS and RTMP - to serve desktops, mobile devices, set-top boxes, signage players, recorders and streaming servers.
With AES stream encryption and forward error correction (FEC), the Makito X encoder offers secure unicast or multicast video distribution. When combined with Haivisions Furnace IP video system, administrators have control over video stream access and distribution.
For remote installations or headends, the Makito X encoder offers highly flexible configurations, available either as an ultra compact appliance for dual channel requirements or within a 1RU (6 blades) or 4RU (21 blades) chassis. For harsh environments, the Makito X is also available in a fanless chassis designed for high temperatures applications.
The Makito Air encoder supports industry standard MISP-compliant Key-Length-Value (KLV) metadata transport within the MPEG-2 transport stream. Metadata is captured via serial port, Ethernet or the SDI-VANC embedded input stream. Synchronous transport of the metadata with the associated image frames is guaranteed through Presentation Time Stamp (PTS). The Makito Air also supports Cursor-on-Target (CoT) metadata. CoT is converted into standard KLV format prior to being multiplexed in the MPEG-2 transport stream.
Designed for installations on board manned and unmanned aerial platforms used for ISR applications, the Makito Air transmits live HD video and metadata over microwave (LOS) or satellite (BLOS) networks to operations and exploitation centers. Also ideal for ISR applications on ground-based platforms, the Makito Air is equipped with wireless transmitters. For emergency aid and disaster recovery efforts, the Makito Air streams live video from sensor-equipped platforms to first-responders and news outlets.
To support mission critical communication challenges, the Makito Air encoder delivers H.264 video up to 1080p60 with metadata, encoding latency as low as 55 milliseconds and end-to-end latency as low as 70 milliseconds when coupled with a Makito decoder.
Haivision is the first and only company to achieve JITC Certification for 1080p HD performance, and is unique in offering both airborne and ground-based JITC Certified HD encoders. Click here to see Haivision's JITC Certificate.
Haivision video encoders are also the only encoders to receive Common Criteria certification, supporting the only international standard for consistent platform security and integrity. Our Federal Team has assisted our customers with DIACAP process covering in the US Air Force ATO (Authority to Operate), the US Army CoN, (Certificate of Networthiness), and other certifications unique to US DoD and US Civilian agencies.
With a low encoding latency of 55 milliseconds and complete audio and video synchronization, the Makito encoder delivers rich media experiences for your daily communication or immediate decision-making needs. As a perfect mate the to the Makito encoder, the Makito decoder supports up to 3G-SDI and HDMI.
The Makito encoder can output a variety of stream types - unicast/multicast TS, RTSP, RTMP - and multiple bitrates (MBR) to various destinations concurrently, serving desktops, mobile devices, set-top boxes, signage players, recorders and streaming servers. The Makito enables snapshots, logo application, and Selective Mute to provide complete control and identification of sources and destinations directly from the encoder.
When Makito encoders are combined with Haivisions Furnace IP video system, administrators have control over video stream access and distribution. With Furnaces patented InStream player technology, users can view up to 64 streams simultaneously with end-to-end security, access, control and reporting.
For remote installations or headends, the Makito encoder offers highly flexible configurations either as an ultra compact appliance or within a 1RU (6 blades) or 4RU (21 blades) chassis.
Haivision is the first and only company to achieve JITC Certification for 1080p HD performance, and is unique in offering both airborne and ground-based JITC certified HD encoders.
Makito XR delivers highly efficient encoding with up to twice the quality within a given bandwidth compared to industry-leading encoders. With exceptional stream quality, essential for making mission-critical decisions and identifying objects, the Makito XR delivers pristine quality at bitrates lower than 2Mbps - ideal for the most constrained networks and satellite transport.
The Makito XR encoder supports industry standard MISP-compliant Key-Length-Value (KLV) metadata transport within the MPEG-2 transport stream. Metadata is captured via serial port, Ethernet or the SDI-VANC embedded input stream. KLV may be transported using the MISB 0604.2 defined asynchronous or synchronous formats. KLV and video synchronization is achieved by leveraging the MPEG-2 Transport Stream presentation time stamps (PTS) allowing receivers to re-synchronize the metadata with the video. The Makito XR also supports Cursor-on-Target (CoT) metadata. CoT is converted into standard KLV format prior to being multiplexed in the MPEG-2 transport stream.
Designed for easy integration on both manned and unmanned platforms, including aerial, naval, and ground vehicles, the XR is a single Line Replaceable Unit (LRU) that will not require major system upgrades to existing platform designs. Tested against the highest international standards for ruggedization, including MIL-STD 810G, it can survive shock and vibration from any mobile application, including law enforcement, military, and underwater vehicles deployed by oil and gas companies.
Makito XR encoders support mission-critical streaming video communication challenges, where real-time decisions require the lowest possible latency at the best possible quality. Makito XR delivers H.264 video up to 1080p60 with metadata, encoding latency as low as 55 milliseconds and extremely low end-to-end latency when coupled with a Makito X decoder or Haivision Instream Mobile players.
Third-Party Information Liability Disclaimer
Some of the information on this Web page has been provided by external sources. The Government of Canada is not responsible for the accuracy, reliability or currency of the information supplied by external sources. Users wishing to rely upon this information should consult directly with the source of the information. Content provided by external sources is not subject to official languages, privacy and accessibility requirements.
Contacts
Contact information
Description
Company description
Products, services and licensing
Product / Service / Licensing
The Makito X delivers highly efficient encoding, with up to twice the quality within a given bandwidth or savings of up to half the bandwidth for the same quality compared to industry-leading encoders. With stream quality that is on par with broadcast-quality encoders at higher bitrates, the Makito X encoder delivers pristine quality at bitrates lower than 2Mbps - ideal for Internet or satellite transport of video.
Haivision's Secure Reliable Transport (SRT) technology provides end-to-end security, resiliency and dynamic endpoint adjustment based on real-time network conditions to deliver the best video quality at all times. With SRT, you can optimize video streaming across unpredictable networks, like the Internet, by assuring quality-of-service when faced with packet loss, jitter, latency, and fluctuating bandwidth. Available within the Makito X encoders and decoders, SRT offers significant operational flexibility and cost savings over (or compared to) satellite or custom network infrastructures.
With an extremely low encoding latency of 55 milliseconds and complete audio and video synchronization, Makito X delivers rich media for your daily communication or mission-critical distribution needs. The Makito X encoder can be paired with the InStream performance player to service desktops, laptops and mobile devices.
With 4 internal encoding engines, the Makito X can encode video at up to 4 different bitrates and profiles for multi-bitrate (MBR) streaming to optimize video distribution. Each engine can be directed to multiple network destinations concurrently - unicast, multicast, TS and RTMP - to serve desktops, mobile devices, set-top boxes, signage players, recorders and streaming servers.
With AES stream encryption and forward error correction (FEC), the Makito X encoder offers secure unicast or multicast video distribution. When combined with Haivisions Furnace IP video system, administrators have control over video stream access and distribution.
For remote installations or headends, the Makito X encoder offers highly flexible configurations, available either as an ultra compact appliance for dual channel requirements or within a 1RU (6 blades) or 4RU (21 blades) chassis. For harsh environments, the Makito X is also available in a fanless chassis designed for high temperatures applications.
The Makito Air encoder supports industry standard MISP-compliant Key-Length-Value (KLV) metadata transport within the MPEG-2 transport stream. Metadata is captured via serial port, Ethernet or the SDI-VANC embedded input stream. Synchronous transport of the metadata with the associated image frames is guaranteed through Presentation Time Stamp (PTS). The Makito Air also supports Cursor-on-Target (CoT) metadata. CoT is converted into standard KLV format prior to being multiplexed in the MPEG-2 transport stream.
Designed for installations on board manned and unmanned aerial platforms used for ISR applications, the Makito Air transmits live HD video and metadata over microwave (LOS) or satellite (BLOS) networks to operations and exploitation centers. Also ideal for ISR applications on ground-based platforms, the Makito Air is equipped with wireless transmitters. For emergency aid and disaster recovery efforts, the Makito Air streams live video from sensor-equipped platforms to first-responders and news outlets.
To support mission critical communication challenges, the Makito Air encoder delivers H.264 video up to 1080p60 with metadata, encoding latency as low as 55 milliseconds and end-to-end latency as low as 70 milliseconds when coupled with a Makito decoder.
Haivision is the first and only company to achieve JITC Certification for 1080p HD performance, and is unique in offering both airborne and ground-based JITC Certified HD encoders. Click here to see Haivision's JITC Certificate.
Haivision video encoders are also the only encoders to receive Common Criteria certification, supporting the only international standard for consistent platform security and integrity. Our Federal Team has assisted our customers with DIACAP process covering in the US Air Force ATO (Authority to Operate), the US Army CoN, (Certificate of Networthiness), and other certifications unique to US DoD and US Civilian agencies.
With a low encoding latency of 55 milliseconds and complete audio and video synchronization, the Makito encoder delivers rich media experiences for your daily communication or immediate decision-making needs. As a perfect mate the to the Makito encoder, the Makito decoder supports up to 3G-SDI and HDMI.
The Makito encoder can output a variety of stream types - unicast/multicast TS, RTSP, RTMP - and multiple bitrates (MBR) to various destinations concurrently, serving desktops, mobile devices, set-top boxes, signage players, recorders and streaming servers. The Makito enables snapshots, logo application, and Selective Mute to provide complete control and identification of sources and destinations directly from the encoder.
When Makito encoders are combined with Haivisions Furnace IP video system, administrators have control over video stream access and distribution. With Furnaces patented InStream player technology, users can view up to 64 streams simultaneously with end-to-end security, access, control and reporting.
For remote installations or headends, the Makito encoder offers highly flexible configurations either as an ultra compact appliance or within a 1RU (6 blades) or 4RU (21 blades) chassis.
Haivision is the first and only company to achieve JITC Certification for 1080p HD performance, and is unique in offering both airborne and ground-based JITC certified HD encoders.
Makito XR delivers highly efficient encoding with up to twice the quality within a given bandwidth compared to industry-leading encoders. With exceptional stream quality, essential for making mission-critical decisions and identifying objects, the Makito XR delivers pristine quality at bitrates lower than 2Mbps - ideal for the most constrained networks and satellite transport.
The Makito XR encoder supports industry standard MISP-compliant Key-Length-Value (KLV) metadata transport within the MPEG-2 transport stream. Metadata is captured via serial port, Ethernet or the SDI-VANC embedded input stream. KLV may be transported using the MISB 0604.2 defined asynchronous or synchronous formats. KLV and video synchronization is achieved by leveraging the MPEG-2 Transport Stream presentation time stamps (PTS) allowing receivers to re-synchronize the metadata with the video. The Makito XR also supports Cursor-on-Target (CoT) metadata. CoT is converted into standard KLV format prior to being multiplexed in the MPEG-2 transport stream.
Designed for easy integration on both manned and unmanned platforms, including aerial, naval, and ground vehicles, the XR is a single Line Replaceable Unit (LRU) that will not require major system upgrades to existing platform designs. Tested against the highest international standards for ruggedization, including MIL-STD 810G, it can survive shock and vibration from any mobile application, including law enforcement, military, and underwater vehicles deployed by oil and gas companies.
Makito XR encoders support mission-critical streaming video communication challenges, where real-time decisions require the lowest possible latency at the best possible quality. Makito XR delivers H.264 video up to 1080p60 with metadata, encoding latency as low as 55 milliseconds and extremely low end-to-end latency when coupled with a Makito X decoder or Haivision Instream Mobile players.


Tier 1 storage
Introduction
UKCloud's block storage uses a blended mix of enterprise flash drives, SAS, and NL-SAS disks in RAID 5 and RAID 6 configurations. To achieve the right balance of performance and cost, we use automated storage tiering, where data is tiered according to access patterns. Frequently accessed data will reside on quick-access flash drives, while data that's accessed less frequently (catalogue images, for example) will reside on slower NL-SAS disks. The system evaluates data access over 24-hour periods and may reallocate data to ensure the best system efficiency.
We recommend that customers try using the standard Tier 2 storage before deciding to migrate to Tier 1 storage. This is because the use of three tiers of media combined with an additional SSD caching layer, is still the most efficient way to store data for most applications for a couple of key reasons:
Most application data ages - data that was once read or changed many times a day eventually becomes out of date or no longer relevant, so is no longer being read or changed. Automatic data tiering moves cold data from SAS or SSD into cost-efficient NL-SAS, not only freeing up space for hotter data on faster media, but also driving down the cost of storing the data.
Some applications or parts of applications don't require the low latency that the faster media gives. Examples of this include user file systems or parts of multi-layer applications such as SharePoint.
Following feedback from our customers and partners, UKCloud has identified that application latency or unpredictable performance can sometimes stem from the use of the standard three-tier pools for some applications. This happens when data relocation doesn't happen fast enough to adapt to the change in workload profiles. The figure below shows an ideal world compared with reality for data distribution across tiers.
To address this issue UKCloud has developed Tier 1 storage to ensure that applications that require consistent or high write performance can achieve it.
What is Tier 1 storage?
Tier 1 storage sits on enterprise-class technology, so still benefits from the feature set available on the standard Tier 2 storage. However, there are a few subtle changes that increase the performance of workloads sitting on Tier 1 storage.
By removing the NL-SAS layer and using a two-tier pool of performance media (SAS and SSD), the negative effect of tiering on the consistent performance of data is reduced. This is because even workloads that are accessed infrequently are serviced by faster spinning media (see the figure below).
By increasing the ratio of SSD to SAS, we ensure that a higher proportion of customer data can sit on enterprise flash, rather than on spinning media. So workload IO is serviced a lot quicker.
Placing all the drives in RAID 10 configurations rather than a blend of RAID 5 and RAID 6 improves response times of writes to storage under high load. Response times are improved because the storage processors need to do fewer RAID calculations to commit new writes to disk. During periods of high workload, this enables the cache to flush quicker, allowing more host write IOs to be serviced by the storage.
Good candidate workloads for Tier 1 storage
UKCloud has identified that Tier 1 storage is best for the following use cases.
Applications that need consistent performance
The nature of multi-tenant environments means that data can sometimes be pushed down to SAS/NL-SAS, even if it is hot. This is because other customers' application data may be hotter. Having a large pool of SSD and no NL-SAS will ensure that customer data has a more predictable performance for both reads and writes.
Applications with a high write-to-read ratio (+50% w/r)
Some applications will have a large amount of data creation or change, which will involve a lot of write IO to the storage. Using RAID 10 lowers the overhead of the RAID calculation, which reduces the latency of cache flushing to disk.
High-performance applications
High-performance applications are generally databases or virtual desktops, which require high read and write performance.
Data warehousing
There are two data warehousing use cases:
Occasionally, data may be loaded onto the UKCloud platform but not accessed for a period of time; this data would normally be de-staged to NL-SAS. By not having NL SAS in the Tier 1 pool, the lowest tier will be SAS, which will still provide good performance of both reads and writes, even if the data has been cold for a long time.
Alternatively, data can be stored in UKCloud's Cloud Storage and loaded into the Tier 1 storage platform when needed. This maintains high performance for active data without the associated cost of storing infrequently accessed data.
Small block, random-write databases
Data with a high volume of small random writes will benefit from the enhanced performance that comes from using RAID 10 as the underlying storage. As the graphs below show, the RAID 10 write performance is much better than RAID 5 and RAID 6 for small block writes.
Large data sets
The higher ratio of SSD to SAS means there's a higher chance that data within a given dataset will be in flash media, accelerating database performance.
Unsuitable candidate workloads
The following workloads would be considered unsuitable as they won't benefit from Tier 1 storage.
Rich media
Rich media such as images and audio won't benefit from enhanced write performance.
Applications that don't need consistent performance
Although not necessarily an unsuitable candidate, if a workload doesn't require consistent performance, there will be no real benefit in putting the data on Tier 1 storage.
Low-performance applications
Applications that don't need high performance aren't necessarily unsuitable candidates; they just won't see any real benefits from Tier 1 storage.
Applications with a high read-to-write ratio (+50% r/w)
Applications with a high read ratio don't really benefit from the added performance that Tier 1 storage provides. As the graph below shows, RAID10 doesn't show a real performance increase on reads compared to the other RAID configurations.
Identifying good candidate workloads
In most cases, you'll be able to judge which workloads are best suited for Tier 1 storage. However in some cases, you may need guidance on which storage a particular application requires.
If your application isn't currently running on UKCloud's platform or on another environment, we would recommend building it on the standard Tier 2 storage pool initially. You can then assess its performance once it has been set up and is running under load, and decide whether the workload should be moved to Tier 1 storage.
If the workload is currently running on any environment, it's possible to run a performance assessment on the application to understand its characteristics, enabling you to make an informed decision on where it is best placed. You would carry out the performance assessment yourself, supported by one of our Cloud Architects.
Limitations
Tier 1 workloads are available with the Essential, Power and Priority VM types.
Initially, moving a workload to and from the Tier 1 platform will be a manual process that may involve raising a Service Request via My Calls on the UKCloud Portal.
Realistic performance expectations
The performance that can be expected from the system will depend on many factors, such as the application's read/write ratio, and whether the IO will be random or sequential in nature.
UKCloud's storage platforms are shared by all consumers within the boundary of the security domain. This means we can't provide a guaranteed minimum IOPs or throughput; however, the performance of individual data stores is actively monitored. We regularly review the data store usage metrics, and perform migrations of virtual machines to less populated data stores to alleviate contention.
For more help
If you need more help, contact UKCloud Support or engage with your Cloud Architect.
Feedback
If you find a problem with this article, click Improve this Doc to make the change yourself or raise an issue in GitHub. If you have an idea for how we could improve any of our services, send an email to feedback@ukcloud.com.


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The color of the underlines on each field
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public var underlineColor: UIColor { get set }
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Two best friends who navigate life in Los Angeles, Explore the world and travel to different exciting destinations, experience different cuisines, lifestyle, meet people, learn culture and spread the love and positivity.
Two best friends who navigate life in Los Angeles, Explore the world and travel to different exciting destinations, experience different cuisines, lifestyle, meet people, learn culture and spread the love and positivity. Read Less...
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Pharetra et ultrices neque ornare aenean euismod elementum nisi quis. In nulla posuere sollicitudin aliquam ultrices sagittis orci a scelerisque. Sem et tortor consequat id porta nibh.
Condimentum vitae sapien pellentesque habitant morbi tristique. Tempor orci eu lobortis elementum nibh tellus. Commodo sed egestas egestas fringilla phasellus. Faucibus turpis in eu mi bibendum neque egestas congue. Malesuada bibendum arcu vitae elementum curabitur vitae nunc sed velit. Feugiat scelerisque varius morbi enim. Velit dignissim sodales ut eu sem integer vitae.
Suspendisse sed nisi lacus sed viverra tellus in hac. Vitae proin sagittis nisl rhoncus mattis. Libero justo laoreet sit amet. Turpis egestas sed.
2 hours ago
Two best friends who navigate life in Los Angeles, Explore the world and travel to different exciting destinations, experience different cuisines, lifestyle, meet
30 Dec, 19
Two best friends who navigate life in Los Angeles, Explore the world and travel to different exciting destinations, experience different cuisines, lifestyle, meet people, learn culture and spread the love and positivity. Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Pharetra et ultrices neque ornare aenean euismod elementum nisi quis. In nulla posuere sollicitudin aliquam ultrices sagittis orci a
Watch a day spent in the whole garden of potatoes and some chips and fries in the best restaurant.
Watch a day spent in the whole garden of potatoes and some chips and fries in the best restaurant.
Watch a day spent in the whole garden of potatoes and some chips and fries in the best restaurant.
 All rights reserved.
Rick Patterson
5 hours ago
Two best friends who navigate life in Los Angeles, Explore the world and travel to different exciting destinations, experience different cuisines, lifestyle, meet people, learn culture and spread the love and positivity. Lorem ipsum dolor sit


TRAVELLER A film review by James Berardinelli Copyright 1997 James Berardinelli
RATING (0 TO 10): 7.5 Alternative Scale: *** out of ****
United States, 1997 U.S. Release Date: beginning 4/18/97 (limited) Running Length: 1:43 MPAA Classification: R (Profanity, sex, violence) Theatrical Aspect Ratio: 1.85:1
Cast: Bill Paxton, Mark Wahlberg, Julianna Margulies, James Gammon, Luke Askew, Nikki DeLoach Director: Jack Green Producers: Bill Paxton, Brian Swardstorm, Mickey Liddell, and David Blocker Screenplay: Jim McGlynn Cinematography: Jack Green Music: various U.S. Distributor: October Films
TRAVELLER, the directorial debut of veteran cinematographer Jack Green, takes us into the world of blood-related grifters who pull two- bit cons as a way of life. They are the "Travellers", a close-knit band of Irish-American nomads who survive by preying on the gullibility and greed of others. This movie tells the story of one such Traveller and the forces that lead him to question his position within the society.
Bokky (Bill Paxton) is near the top of the North Carolina Traveller hierarchy. He is respected by his peers, and the local leader, Boss Jack (Luke Askew), regards him as the son he never had. One Fall day, a young man, Pat (Mark Wahlberg), arrives to bury his exiled Traveller father in a Traveller cemetery, and is met with cold stares and harsh words. As an outsider, he is regarded with suspicion, but the Traveller blood in his veins runs true and Bokky agrees to take Pat under his wing. Soon, the two have become a team and are pulling off some pretty profitable schemes. Everything is going smoothly until Bokky falls for Jean (Julianna Margulies), one of his intended victims, and his loyalties become confused.
The plot of TRAVELLER, credited to Jim McGlynn, isn't all that complex or hard to follow. It's episodic in nature, with each new scam representing another chapter. The cons are fun to watch unfold. Sometimes, it's possible to see where they're going, sometimes not. The script is smart and sneaky -- by never telling the audience more than is necessary, it develops a keen sense of suspense that persists until the gritty final reel.
The great strength of the film, however, is character development. The two leads, Bokky and Pat, both have clearly-defined arcs. Pat, desperate to prove himself to Boss Jack, works hard to learn the tricks of the trade. Meanwhile, Bokky, even while teaching Pat how to scam people, is starting to see his marks as human beings, and his resolve to rip them off is beginning to waver. He is suddenly reluctant to swindle a young couple out of their life's savings.
For the most part, the acting is top-notch. Bill Paxton, taking a brief hiatus from blockbusters like TWISTER to do a serious role in a low-budget feature, brings charm, depth, and feeling to a part that could have come across as cold and amoral. Julianna Margulies (PARADISE ROAD, TV's ER) smolders in this low-key performance. Character actor James Gammon is delightful as a fellow scam artist who turns Pat and Bokky's duo into a trio. Even Mark Wahlberg (the former Marky Mark), not known for his acting, is competent.
Here and there, TRAVELLER takes a wrong turn. The culture of the band, which is arguably the most absorbing feature of the film, is worthy of a more thorough exploration than is offered. We're teased with a possible romantic relationship between Pat and the Boss' daughter (Nikki DeLoach), which might have uncovered another dimension of Traveller society, but this subplot is abruptly dropped during the movie's second half. Indeed, there are several occasions when TRAVELLER glosses over things that cry out for greater investigation (such as Bokky's lessons about how to pull a successful scam). Still, these are mostly small gripes, and their impact upon the viewing experience as a whole is minimal. TRAVELLER, the latest in a sub-genre that's becoming known as "Southern Gothic" (and includes the likes of ONE FALSE MOVE and SLING BLADE), is a fine film, and worth a trip to a theater.
- James Berardinelli e-mail<EMAIL_ADDRESS>ReelViews web site: http://www.cybernex.net/~berardin
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A service provider identifies itself by placing a provider-configuration file in the resource directory META-INF/services.


by JuNyangYee
The goal of Get Gift is to survive as long as you can. You have HP, and you can get or throw the fallen items. The items have a category. You have to get the same category items. If you get the same category items, your HP will increase. If you get other category items, your HP will decrease. Enjoy!
Get Gift : Keyboard S
Throw Gift : Keyboard W


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