HDFS-5274 added support for tracing requests through HDFS, using the open source tracing library, HTrace. Setting up tracing is quite simple, however it requires some very minor changes to your client code.
The tracing system works by collecting information in structs called 'Spans'. It is up to you to choose how you want to receive this information by implementing the SpanReceiver interface, which defines one method:
public void receiveSpan(Span span);
Configure what SpanReceivers you'd like to use by putting a comma separated list of the fully-qualified class name of classes implementing SpanReceiver in hdfs-site.xml property: hadoop.trace.spanreceiver.classes.
<property> <name>hadoop.trace.spanreceiver.classes</name> <value>org.htrace.impl.LocalFileSpanReceiver</value> </property> <property> <name>hadoop.local-file-span-receiver.path</name> <value>/var/log/hadoop/htrace.out</value> </property>
Instead of implementing SpanReceiver by yourself, you can use ZipkinSpanReceiver which uses Zipkin for collecting and dispalying tracing data.
In order to use ZipkinSpanReceiver, you need to download and setup Zipkin first.
you also need to add the jar of htrace-zipkin to the classpath of Hadoop on each node. Here is example setup procedure.
$ git clone https://github.com/cloudera/htrace $ cd htrace/htrace-zipkin $ mvn compile assembly:single $ cp target/htrace-zipkin-*-jar-with-dependencies.jar $HADOOP_HOME/share/hadoop/hdfs/lib/
The sample configuration for ZipkinSpanReceiver is shown below. By adding these to hdfs-site.xml of NameNode and DataNodes, ZipkinSpanReceiver is initialized on the startup. You also need this configuration on the client node in addition to the servers.
<property> <name>hadoop.trace.spanreceiver.classes</name> <value>org.htrace.impl.ZipkinSpanReceiver</value> </property> <property> <name>hadoop.zipkin.collector-hostname</name> <value><IP_ADDRESS></value> </property> <property> <name>hadoop.zipkin.collector-port</name> <value>9410</value> </property>
In order to turn on Dapper-like tracing, you will need to wrap the traced logic with tracing span as shown below. When there is running tracing spans, the tracing information is propagated to servers along with RPC requests.
In addition, you need to initialize SpanReceiver once per process.
import org.apache.hadoop.hdfs.HdfsConfiguration; import org.apache.hadoop.tracing.SpanReceiverHost; import org.htrace.Sampler; import org.htrace.Trace; import org.htrace.TraceScope; ... SpanReceiverHost.getInstance(new HdfsConfiguration()); ... TraceScope ts = Trace.startSpan("Gets", Sampler.ALWAYS); try { ... // traced logic } finally { if (ts != null) ts.close(); }
The TracingFsShell.java shown below is the wrapper of FsShell which start tracing span before invoking HDFS shell command.
import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.fs.FsShell; import org.apache.hadoop.hdfs.HdfsConfiguration; import org.apache.hadoop.tracing.SpanReceiverHost; import org.apache.hadoop.util.ToolRunner; import org.htrace.Sampler; import org.htrace.Trace; import org.htrace.TraceScope; public class TracingFsShell { public static void main(String argv[]) throws Exception { Configuration conf = new Configuration(); FsShell shell = new FsShell(); conf.setQuietMode(false); shell.setConf(conf); int res = 0; SpanReceiverHost.init(new HdfsConfiguration()); TraceScope ts = null; try { ts = Trace.startSpan("FsShell", Sampler.ALWAYS); res = ToolRunner.run(shell, argv); } finally { shell.close(); if (ts != null) ts.close(); } System.exit(res); } }
You can compile and execute this code as shown below.
$ javac -cp `hadoop classpath` TracingFsShell.java $ HADOOP_CLASSPATH=. hdfs TracingFsShell -put sample.txt /tmp/


Description:
|
Local user input handling vulnerabilities exist in WCI's TC-IDE Embedded Linux prior to v1.54 which allow local users with access to the tools provided with the system to spawn a root console, gaining full control over the running Linux operating system. In corporate environments where this product is being used, such vulnerabilities could cause disastrous effects, all users are encouraged to update to the latest firmware ASAP.
|


Weather Wizard
Real-time weather updates from around the world
~~~~
°C
°F
Find Your Forecast
Get Current Weather!
Results pulled from the
OpenWeatherMap
API.


All they do is code, and all the time.
Well depends upon whether they find a good youtube video for that or not.
Not really, but they can say things like fixings bugs, writing documentation, I was working on that feature etc.
If you haven't saved your passwords in browser then you will be safe here.
Thats not true, try to talk to a dev who is maintaining someone else's code.
Because they are not interested in your business.
Usually when they can't explain it, then they use this word.
Unfortunately thats not true, because most devs don't come from Hollywood.
Because they spend most of their time with foo, bar, arrays and objects.
Partially true, mostly because its hard to find interesting people.


The href Attribue
TML links are defined with the a tag. The link address is specified in the href attribute:
Visit w3schools


| Source | Beginning | Increment | Data Type |
|---|---|---|---|
| Unix | Midnight, January 1, 1970 | 1 second | long |
| Microsoft OLE | Midnight, December 30, 1899 | 1 whole day | float |
| Microsoft NTFS File Times | Midnight, January 1, 1601 | 100 nanosecond | 64-bit int |
| GPS | Midnight, January 6, 1980 | Weeks and seconds | Two integers |
| Modified Julian Date (Astrophysics) | Midnight, November 17, 1858 | 1 whole day | float |


Home Page (1999) Reviewed by Eugene Novikov http://www.ultimate-movie.com/ Member: Online Film Critics Society
Featuring Justin Hall, Harold Rheingold, Jaime Levy, Julie Petersen, Carl Steadman, Marjorie Silver, Denise Tenorio, Doug Block. Not Rated (the equivalent of a mild R for profanity, brief nudity and general weirdness).
Trying to decipher the true nature and purpose of the internet is akin to trying to figure out the meaning of life, in that it is an impossible endeavor. Even in 1996, when this movie was shot, the world wide web was so many different things to so many different people; now, it has become an institution comparable to television. Everyone's got it, some can't live without it. While it may be exceedingly difficult to "figure out" the net, it would be nice if we could make some sense out of it and that is exactly what the new documentary Home Page, in its mature, thoughtful manner, tries to do.
Filmmaker Doug Block started out with the honorable intention of making a film diary of his adorable little toddler daughter. That was until he met Justin Hall. A college student at the time, Hall is what we commonly call a "nerd." He dresses bizarrely, spends an exorbitant amount of time staring at the computer screen and, most interestingly, posts every detail of his life on his webpage (http://www.links.net).
Block follows Justin through the next few years of his eccentric existance and is inspired to make his own webpage, a journal of his documentary travails (The D-Word). Justin, meanwhile, goes on a country- spanning trip promoting the internet. His Odyssey finally lands him in San Francisco, where he moves in with famed internet author and guru Howard Rheingold, whom he greatly admires. They work on the development of "Electric Minds," an ambitious web magazine that went "out of business" some seven months after its launch.
The film's focus isn't just on Justin; indeed, we become intimately familiar with some other interesting people such as Rheingold himself, Julie (http://www.awaken.org), Justin's former honcho at HotWired (a web magazine where he was an intern), as well as the people behind Suck, a popular, satirical internet publication. These folks all offer their theories on the web; some are funny, some are weird, all are interesting.
Home Page begins by abandoning all skepticism. Block acknowledges the fact that the internet is indeed the future and goes from there. His subjects' musing comes off as intelligent speculation from people who know what they are talking about, rather than disjointed ramblings of web weirdoes, which he easily could have given us. The film works because it isn't gimmicky or pretentious, rather, it's sincere. Here is a film with an affection for its subject.
 For some it is a way of life, for others it's but a mild diversion, but it has something for everyone. Granted, this is fairly simple stuff but Block finds creative, personal ways of presenting it, until we begin to get a more thorough understanding of the web's significance and its meaning in all of our lives. Home Page doesn't serve as an instigator of new and radical ideas, rather, it pushes an already realized and still valid thought up a notch.
The movie ends with a shot that is at once chilling and promising: a girl stares, transfixed, at a computer monitor while the notorious internet logon phone sound plays in the background. There is a child with an advantage, gazing at the future with those wide, endlessly curious eyes.
Grade: B+
©1999 Eugene Novikov
Sent via Deja.com http://www.deja.com/ Before you buy.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


% applocals.header='Pay'%> <% applocals.header_small='Make A Payment'%> Pay With Lightning Payment Request Amount SAT Memo Pay With Bitcoin Send to BTC Address Amount SAT Sweep all onchain funds NO YES Fees/Confirmation Target Confirm in 3 blocks Confirm in X blocks Set SAT/Byte Confirm in #X Blocks Blocks Set SAT/Byte Fee sat/byte


The CSS float property specifies how an element should float.
The CSS clear property specifies what elements can float beside the cleared element and on which side.
The float property can have one of the following values:
The clear property specifies what elements can float beside the cleared element and on which side.
The clear property can have one of the following values:
When clearing floats, you should match the clear to the float: If an element is floated to the left, then you should clear to the left. Your floated element will continue to float, but the cleared element will appear below it on the web page.
The following example shows the different behavior of display: inline, display: inline-block and display: block:
One common use for display: inline-block is to display list items horizontally instead of vertically. The following example creates horizontal navigation links:
The CSS clear property specifies what elements can float beside the cleared element and on which side.
The float Property
The float property is used for positioning and formatting content e.g. let an image float left to the text in a container.The float property can have one of the following values:
- left - The element floats to the left of its container
- right - The element floats to the right of its container
- none - The element does not float (will be displayed just where it occurs in the text). This is default
- inherit - The element inherits the float value of its parent
Float
This example specifies that an image should float to the right in a text:
This example specifies that an image should float to the right in a text:
The clear Property
The clear property specifies what elements can float beside the cleared element and on which side.
The clear property can have one of the following values:
- none - Allows floating elements on both sides. This is default
- left - No floating elements allowed on the left side
- right- No floating elements allowed on the right side
- both - No floating elements allowed on either the left or the right side
- inherit - The element inherits the clear value of its parent
When clearing floats, you should match the clear to the float: If an element is floated to the left, then you should clear to the left. Your floated element will continue to float, but the cleared element will appear below it on the web page.
The clearfix Hack
If an element is taller than the element containing it, and it is floated, it will "overflow" outside of its container:
.clearfix {
overflow: auto;
}
The display: inline-block Value
- Compared to display: inline, the major difference is that display: inline-block allows to set a width and height on the element.
- Also, with display: inline-block, the top and bottom margins/paddings are respected, but with display: inline they are not.
- Compared to display: block, the major difference is that display: inline-block does not add a line-break after the element, so the element can sit next to other elements.
The following example shows the different behavior of display: inline, display: inline-block and display: block:
span.a {
display: inline; /* the default for span */
width: 100px;
height: 100px;
padding: 5px;
border: 1px solid blue;
background-color: yellow;
}
span.b {
display: inline-block;
width: 100px;
height: 100px;
padding: 5px;
border: 1px solid blue;
background-color: yellow;
}
span.c {
display: block;
width: 100px;
height: 100px;
padding: 5px;
border: 1px solid blue;
background-color: yellow;
}
Using inline-block to Create Navigation Links
One common use for display: inline-block is to display list items horizontally instead of vertically. The following example creates horizontal navigation links:
.nav {
background-color: yellow;
list-style-type: none;
text-align: center;
padding: 0;
margin: 0;
}
.nav li {
display: inline-block;
font-size: 20px;
padding: 20px;
}


ORBITM¶
By: Samuel Y. W. Low
ORBITM stands for the Orbit Maintenance and Propulsion Sizing Tool, and it is an open-source, easy-to-use, free-ware orbit maintenance simulator and propulsion sizing tool, for anyone with a Python 3 installation. The software comes with its own built-in orbit decay model and maintenance simulator, a life-time estimator, and it is also interface-able with AGI’s Systems Tool Kit (STK) as an alternative mode of simulation.
The objective of ORBITM is to allow for a quick sizing of low Earth orbit (LEO) mission lifetime, while sizing the mission against propulsion units of the user’s choosing. The user may input into the UI their orbital parameters, spacecraft properties (mass, area, drag parameters etc), and the software will compute your desired ΔV necessary for the mission, track the altitude profile over time, and plot the thruster-fuel profile that satisfies the orbit maintenance needs of your mission.
Why was ORBITM created? There are two key reasons behind ORBITM. First, the proliferation of tens of thousands of LEO satellites in our near future mandates a quick and efficient means of estimating the lifetime of not just the orbiters but also of debris. The second reason is that ORBITM can also be used to support rapid iterations of spacecraft designs in agile development. For example, different iterations of solar panels or radar reflector designs that are proposed frequently, would impact the drag characteristics and mission life-time. ORBITM allows for the rapid ball-park assessments of such scenarios.
Traditional orbit maintenance simulations can be cumbersome and tedious to do on STK, GMAT, FreeFlyer, or even on your own code. Thus, ORBITM simplifies this entire drag-simulation process - in a fast and automated way that keeps up with rapidly changing iterations, without over-burdening the mission planner with repeated mission life-time simulations.
There are two modes of simulation available in ORBITM.
The first, is a fast-compute orbit decay and maintenance model considering primarily drag effects using the U.S. Standard Atmosphere 1976 model (Sam’s Simulator).
The second is a more accurately modelled but resource intensive mode that interfaces with and automates STK Astrogator to perform a high-precision orbit decay and maintenance simulation. The orbit model in STK uses a 21 by 21 (degree by order) geopotential, accounting also for radiation pressure and drag using a Jacchia-Roberts Atmospheric Density model.
However, in the second mode, you would need a valid STK Astrogator and STK Integration license installed with STK 10 or 11, for the interfacing to work.
Note
ORBITM was designed for low Earth orbits. Thus, the working range of altitudes, before loss of atmospheric density accuracies, should be bounded within 86 - 1,000 km.
Warning
ORBITM was not designed for high precision, and thus the life-time estimation cannot be used for re-entry and descent positioning estimations.
1. Installation¶
First, find the ORBITM GitHub repository in this GitHub link, and download it. Alternatively, if you have Git installed, you can open Command Prompt or your Git Bash, enter the directory of your choice, and type:
git clone https://github.com/sammmlow/ORBITM.git
That’s it! No further setup is needed.
Note
Packages Required: numpy, matplotlib, tkinter, PIL, os, math, datetime, comtypes (for STK)
2. First Steps¶
ORBITM can be launched simply by running the Python file orbitm.py in the main directory (equivalent to the directory on the master branch on ORBITM’s GitHub). You should see a GUI that looks like the one below, pop up:
As a first step, you can simply load the default input parameters by clicking “Load Config”. The parameters are actually saved in the config.txt file. Configuration parameters should be loaded through the GUI, and not manually updated through the config.txt file since then the software can’t check for string formatting errors (e.g. a negative drag coefficient that was typed into the config file manually and by accident would crash the program).
Warning
An orbit eccentricity of exactly zero is not allowed, to prevent potential divide-by-zero issues during calculations. For near-perfectly circular orbits, set an arbitrarily small eccentricity number (e.g., 0.00001).
Second, you can choose which lifetime and maintenance simulator you would like to use. By default, the native “Sam’s Simulator” will be selected. If STK is selected, remember that a valid STK license for STK Integration and STK Astrogator is required.
Third, proceed to set the remainder of your orbit and spacecraft parameters. These parameters are self-explanatory. Some parameters are specific to ORBITM and are defined below:
- Maintenance Tolerance Band
Threshold altitude that triggers an orbit raise (km).
- Maintenance Mission Margin
Multiplier applied to the mission’s life-time ΔV needs.
- Frozen Repeat Ground Track
Option to consider frozen repeat orbit maintenance.
Note
“Sam’s Simulator” mode uses the definition of the Maintenance Tolerance Band above in the Keplerian sense, or a pure ellipse in other words, on a purely spherical Earth. However, in STK-mode, due to oblateness of the Earth, and the presence of other perturbing forces, the Earth-centered altitude often oscillates with time, even for a “circular orbit”.
In order to prevent triggering a manoeuvre on the wrong rising or falling edge of the altitude profile, the STK mode triggers manoeuvres based on the Kozai-Izsak Mean Semi-Major Axis rather than the nominal altitude + Earth radius. It is acknowledged that this changes the definition for the “threshold altitude”, especially for highly elliptical orbits running in STK.
If the option for a Frozen Repeat Ground Track was selected, then the orbit raise will happen from the threshold below its initial altitude to a positive threshold above the initial altitude, and the thrusts will be done in perigee-apogee pairs. This minimises secular perturbations to the orbit mean eccentricity and the orbit nodal period. For example, if the Frozen Repeat Ground Track option was selected, with an initial altitude of 500km, and a threshold of 5km, the orbit raise will be triggered at 495km, and raised to 505km in two thrust pairs. Else, in the non-frozen repeat orbit maintenance case, the orbit raise will be triggered at 495km, and raised back to the original 500km.
Finally, before running the simulation (Run ORBITM), check the “thruster_shortlist.txt” file on the main ORBITM directory, and add thruster specifications that you wish to size your missions against. Some thrusters are written inside this shortlist as an example. The purpose of this shortlist is to provide the program with the thruster specifications, so that the mission planner can graphically compare its Isp and fuel capacity to the suitability of the mission (as an output of the program).
Now, you can run ORBITM. If you are a licensed STK user and you would like to use ORBITM to automate an orbit maintenance simulation in STK for you, make sure there are no running instances of STK before you run ORBITM in the STK 10 or 11 mode.
Note
“Sam’s Simulator” does not include albedo and radiation effects, thus tuning these parameters will have no effect in the “Sam’s” mode. However, they are considered when using STK.
3. Interpreting Results¶
After a successful ORBITM run, you would expect two output text files in the main directory, and three Matplotlib figures.
The first text file “output_summary_<mode>.txt” is a summary of the lifetime (i.e. how long the spacecraft can last without orbit maintenance).
Lifetime decay is estimated to be on 13 May 2027 16:54:31.252 after 29940 orbits.
The lifetime is 5.4 years.
The total impulse needed: 2233.4388819714236
The total Delta-V (m/s) needed is 13.137875776302492
The second text file “output_manoeuvre_<mode>.txt” is an estimate of the orbit maintenance manoeuvre schedule.
1 Maintain.Hohmann 2022-03-01 11:40:00 2.1896281088566925
2 Maintain.Hohmann 2022-04-29 12:07:49 2.1896767040214486
3 Maintain.Hohmann 2022-06-27 12:35:38 2.1896387651453866
4 Maintain.Hohmann 2022-08-25 13:03:27 2.189679576264574
5 Maintain.Hohmann 2022-10-23 13:31:16 2.1896504433114723
6 Maintain.Hohmann 2022-12-21 13:59:05 2.1896153519034436
To interpret the graphical results, we explore three example scenarios for ORBITM - each is a circular orbit at 63.4 degrees inclination, at 450km, 500km, and 550km mean altitude respectively.
The plots in blue correspond to “Sam’s Simulator”. The plots in orange correspond to using STK 10 Astrogator, with a high precision orbit propagator, and it uses Astrogator’s Automatic Sequences feature to boost the orbit up whenever the altitude of the spacecraft crosses the minimum of the maintenance tolerance band. In both orbit maintenance modes, the ΔV values were computed using a first order Taylor expansion to the Vis-Visa equation.
The plot most relevant to mission planning that you would need is the third one from the left - the profile of the mission lifetime (in terms of total ΔV requirements) against the thruster specifications (bar charts). The height of the bar chart can be compared against the desired fuel mass needed, at the thruster’s specific impulse values (Isp, units in seconds). In other words, for each thruster’s Isp value, if the height of the bar chart (which represents the max fuel mass for that thruster, at that Isp) exceeds the fuel mass requirements of your mission at that particular Isp, then that thruster can satisfy your mission lifetime requirements.
Note
You can scale your fuel mass requirements in the line plots (in both blue and orange plots) by increasing the Maintenance Mission Margin parameter in the GUI (see Figure 2.1). A value of 1.0 implies that the program will compute the fuel mass and ΔV equivalently needed to counter 100% of the drag effects you encounter. If you would like to have a margin of 3x amount of fuel, then input 3.0 as your mission margin.
The program will also output a time-schedule for orbit maintenance in the main directory of ORBITM, as a text file “deltaV.txt”. This file gives you the time stamps of when each thrust should occur, which is primarily dependent on the decay computation (drag effects) and your chosen tolerance band (i.e. how far do you descend before you fire your thrusters).
4. Fast Orbit Maintenance¶
This section explains the algorithm behind the fast but approximated orbit maintenance simulations (“Sam’s Simulator”).
The key idea is that one does not need to obtain all six parameters of the spacecraft during orbit propagation! Where a sufficiently accurate drag model is available, one really just needs the radial magnitude of the spacecraft in order to characterise the orbital energy loss due to the atmospheric density. This simplifies the number of calculations needed. In this section, the derivation of the decay model will be shared.
The goal of this exercise is to derive how the rate of change of a satellite’s radial distance relates to the drag forces at play. We begin with first principles - an expression on the orbit state energy - and find its derivative with respect to time and altitude.
The rate of change of work done by drag forces can be multiplied with the inverse of the altitude derivative of orbital energy, thereby removing the energy differential, dU, as the common term. Now, we have an expression for the rate of altitude change! We simply need to input the drag force F, and the radial distance of the satellite R.
The radial distance R can be solved for through Kepler’s Equation in the Python file orbitm_func_kepler.py and using the input orbit parameters for a purely Keplerian orbit.
The drag force F, or equivalently the drag acceleration α, is computed via the standard drag equation, as a result of the satellite area-to-mass parameters (as set by the user), and the atmopsheric density value at radial distance R. The density is sourced from orbitm_func_atmos.py. This file is basically the U.S. Standard Atmosphere 1976, represented as a look-up table of coefficients for an exponential atmospheric model.
Simplifying the altitude decay rate model, we arrive at the elegant statement in 4.3:
This is powerful, because it proves that the rate at which the orbit decays can be solved in closed-form without any full orbit propagation of orbit states! This is the reason why orbit maintenance computations are extremely fast on ORBITM.
As the decay rate is also small, the total decay appears almost linear within the time frame of a single LEO orbital period (~95 minutes). Thus, a larger step size can also be used, without compromising too much on accuracy.
Consequently, the ORBITM program simply loops through the scenario time, and computes the decay in each time step until the spacecraft descends below the Maintenance Tolerance Band, which then triggers an orbit raise. This repeats until the end of the simulation.
5. Contact and Reference¶
If ORBITM has made your life somewhat easier, please do cite the work behind it!
For bugs, raise the issues in the GitHub repository.
For collaborations, reach out to me<EMAIL_ADDRESS>(Samuel Y. W. Low)
The project is licensed under the MIT license.


How do your transportation options fit your budget, schedule, and lifestyle?
There are many ways you could get to work — some options are faster, cheaper, or more convenient.
You'll be able to choose a type of transportation and enter how much it costs. If you're unsure about the specifics, don't worry — you can select "I'm not sure" and the item will be added to your to-do list, which you'll receive at the end. Once you finish your first transportation option, you can compare it to other options to help you figure out the best first choice and backup plan.
{% include "route/index.html" %}


A rapid prototyping environment using the Lightning Design System, brought to you by Salesforce UX.
Edit files in the src
directory to start building your prototype.
Lightning Design System component documentation and markup available at: https://www.lightningdesignsystem.com.
We’ve put together a prototype to show you what the starter kit is capable of, have a look!
Data shown in this example comes from views/data/example.json. Check out the README to learn how we are injecting data with "gulp-nunjucks".
Ask questions about prototyping using the design system, report issues about the starter kit… on the GitHub repository.
More comfortable designing in Sketch? Try the Design System UI Kit.


UIConditional
This component displays its child view only when a condition is true.
class UIConditional
extends
UIRenderableController
Encapsulates content that is added/removed asynchronously based on the value of a (bound) property.
Note: Preset constructors for this class (see example) only accept one child component. To wrap multiple components, use multiple
UIConditional
constructors, or wrap child components in aUICell
.
Constructor
(content?:
UIRenderable
): UIConditional
.state
boolean
Current condition state, content is rendered only if this is set to true.
.renderContext
Inherited from UIRenderableController.renderContext
.
.content
TContent
Inherited from UIRenderableController.content
.
.delegateEvent() protected
(e:
ManagedEvent
, propertyName: string): true
Inherited from UIRenderableController.delegateEvent
.
.render()
(callback?: RenderCallback<Output<
UIRenderable
, any>>): void
Inherited from UIRenderableController.render
.
.isPresetComponent() protected
(): boolean
Inherited from Component.isPresetComponent
.
.getParentComponent()
<TParent extends Component = Component>(ParentClass?:
ComponentConstructor
<TParent>): TParent
Inherited from Component.getParentComponent
.
.getBoundParentComponent()
<TParent extends Component>(ParentClass?:
ComponentConstructor
<TParent>): TParent
Inherited from Component.getBoundParentComponent
.
.emitAction()
(name: string, inner?:
ManagedEvent
, context?:
ManagedObject
): void
Inherited from Component.emitAction
.
.propagateComponentEvent() deprecated
(name: string, inner?:
ManagedEvent
): void
Inherited from Component.propagateComponentEvent
.
.managedId
number
Inherited from ManagedObject.managedId
.
.managedState
Inherited from ManagedObject.managedState
.
.getReferenceCount() protected
(): number
Inherited from ManagedObject.getReferenceCount
.
.getManagedReferrers() protected
():
ManagedObject
[]
Inherited from ManagedObject.getManagedReferrers
.
.getManagedParent() protected
<TParent extends ManagedObject = ManagedObject>(ParentClass?:
ManagedObjectConstructor
<TParent>): TParent
Inherited from ManagedObject.getManagedParent
.
.emit()
<TEvent extends ManagedEvent = ManagedEvent, TConstructorArgs extends any[] = any[]>(e: string | TEvent | (new (...args: TConstructorArgs) => TEvent), ...constructorArgs: TConstructorArgs): this
Inherited from ManagedObject.emit
.
.emitChange()
(name?: string): void
Inherited from ManagedObject.emitChange
.
.propagateChildEvents() protected deprecated
(...types: ((new (...args: any[]) =>
ManagedEvent
) | ((e:
ManagedEvent
) => any))[]): this
Inherited from ManagedObject.propagateChildEvents
.
.activateManagedAsync() protected
(): Promise<any>
Inherited from ManagedObject.activateManagedAsync
.
.deactivateManagedAsync() protected
(): Promise<void>
Inherited from ManagedObject.deactivateManagedAsync
.
.destroyManagedAsync() protected
(): Promise<void>
Inherited from ManagedObject.destroyManagedAsync
.
.onManagedStateActivatingAsync() protected
(): Promise<void>
Inherited from ManagedObject.onManagedStateActivatingAsync
.
.onManagedStateActiveAsync() protected
(): Promise<void>
Inherited from ManagedObject.onManagedStateActiveAsync
.
.onManagedStateDeactivatingAsync() protected
(): Promise<void>
Inherited from ManagedObject.onManagedStateDeactivatingAsync
.
.onManagedStateInactiveAsync() protected
(): Promise<void>
Inherited from ManagedObject.onManagedStateInactiveAsync
.
.onManagedStateDestroyingAsync() protected
(): Promise<void>
Inherited from ManagedObject.onManagedStateDestroyingAsync
.
UIConditional.Presets
UIConditional presets type, for use with Component.with
.
.state
boolean
Current condition state, content is rendered only if this evaluates to true.


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1. Who Can Use the Services Mobirise helps you cut down development time by providing you with a flexible website editor with a drag and drop interface. Mobirise Website Builder creates responsive, retina and
mobile friendly websites in a few clicks. Mobirise is one of the easiest website development tools
available today. It also gives you the freedom to develop as many websites as you like given the fact that it is a desktop app.


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We collect anonymous statistics about your visit, like which of our pages you viewed.
Some cookies are necessary for the operation of our website, if you choose to block them some aspects of the site may not work for you. Non necessary cookies are only set when you have given your explicit consent to their use. Such cookies included those set by our statistics package Google Analytics.
We measure visitors to our website using Google Analytics. This records what pages you view within our site, how you arrived at our site and some basic information about your computer. All of that information is anonymous – so we don’t know who you are; just that somebody visited our site.
The information we collect from analytics helps us understand what parts of our sites are doing well, how people arrive at our site and so on. Like most websites, we use this information to make our website better.
You can learn more about Google Analytics or opt out if you wish.
These services provide social buttons and similar features which we might use on our website – such as the “Like” and “Tweet” buttons.
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Equivalent to clicking the Sort command on the Data menu. Sorts the rows or columns of the selection according to the contents of a key row or column within the selection. Use SORT to rearrange information into ascending or descending order.
Syntax 1
For Worksheet and macro sheets
SORT(orientation, key1, order1, key2, order2, key3, order3, header, custom, case)
SORT?(orientation, key1, order1, key2, order2, key3, order3, header, custom, case)
Syntax 2
For PivotTable reports
SORT(orientation, key1, order1, type, custom)
SORT?(orientation, key1, order1, type, custom)
Orientation is a number specifying whether to sort by rows or columns. Enter 1 to sort top to bottom or 2 to sort left to right.
Key1 is a reference to the cell or cells you want to use as the first sort key. The sort key identifies which column to sort by when sorting rows or which row to sort by when sorting columns. For a PivotTable report, if type is 1, then key1 is a cell reference which indicates what value to sort by. There are two ways to specify sort keys:
|
|
|
|
Order1 specifies whether to sort the row or column containing key1 in ascending or descending order. Enter 1 to sort in ascending order or 2 to sort in descending order.
Key2, order2, key3, and order3 are similar to key1 and order1. Key2 specifies the second sort key, and order2 specifies whether to sort the row or column containing key2 in ascending or descending order. Key3 and order3 work similarly.
Header is a number indicating how Microsoft Excel is to handle headers on list.
|
|
|
|
|
|
|
|
Type is a number specifying whether to sort the field by labels or values. Use one to sort by values or two to sort by labels.
Custom is a number that specifies what kind of custom sorting you want. This corresponds to the First Key Sort Order drop-down box in the Sort Options dialog box.  If TRUE, the sort is case sensitive. If FALSE or omitted, the sort will not be case sensitive.
Tip If you want to sort using more than three keys, then sort the data three keys at a time, starting with the least important group of keys and progressing to the most important group, but listing the most important key first within each group.
Remarks
In the dialog box form of this function, if the header argument is omitted, then Microsoft Excel will guess whether or not there are headers.
Return to index


Missing neutralized GPT (googletagservices_gpt.js) library method calls throw script errors.
googletagservices_gpt.js


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Naira Marley’s lewd tweet, Linda Ikeji’s mansion, other entertainment stories last week
by Jayne AugoyeHere are some trending entertainment stories from last week
Naira Marley’s lewd tweet
Controversial singer, Naira Marley, has clapped back at a Chief Superintendent of Police, Badmus Opetodolapo, after she called him a “delinquent and unproductive dead duck”.
It all began after the “Soapy” crooner posted a series of tweets that many found to be inappropriate. He said, “Having a big booty is better than having a Masters.”
The singer who has a history of verbally attacking his critics on social media, fired back in a cocky manner.

His response has got Nigerians talking.
Linda Ikeji’s mansion
Popular Nigerian blogger, Linda Ikeji, has revealed that rats made her buy herself a house in Banana Island, Ikoyi, Lagos.
The blogger said this at an event tagged ‘Ghana Bloggers Summit’ which held in Ghana during the week.

“Two months later, I was living in a fresh, brand new home in Banana Island, Ikoyi,” she said
She also added that living in a rented apartment with her parents in Surulere, Lagos, forced her to rethink her financial state.
Street urchins attack Nkechi Blessing
Yoruba movie star, Nkechi Blessing, and her crew were attacked by street urchins, popularly known as area boys, at a movie set on Friday.
The incident took place at Harmony Estate, Ajah, Lagos State.
Nkechi, who was shooting a movie titled ‘Torera’, revealed this on Instagram.
“If you love me and you don’t want me dead, please send as many police officers to Harmony Estate in Lamgbasa now.

Kim Oprah’s fake engagement
Ex-Big Brother Naija housemate, Kim Oprah, has debunked reports on her engagement to Jeff also of BB Naija fame.
Reports were rife on Wednesday night that the pair are engaged.
Kim debunked the report on Instagram saying, “This is so not true, is this how you guys post videos online without verification. I’m disappointed.
“It is all false, I’m not engaged to Jeff. I’m single and still searching; don’t spoil my market.”
BBNaija star, Cindy under fire for agreement breach
A former Big Brother Naija (BBNaija) housemate, Cindy Okafor, has been accused of breaching her agreement with an online fashion dealer.
The fashion dealer, named Isabella Edem, called out the reality TV star for failing to acknowledge her brand after she allegedly received a free dress from the store in exchange for online promotion.
Shortly after the reality star took to her Instagram page to share a photo of her clad in a beautiful fringe dress, Edem, who runs ‘Beunique B’, a fashion store on Instagram, jumped on the comment section to vent her annoyance over the alleged breach of their agreement.
She claimed the BBNaija star refused to give her credit for the cloth by tagging and mentioning her brand as agreed.
She also claimed that she had contacted the celebrity on phone to correct the error “but Cindy had simply hissed and hung up on her”.
A few weeks after she her exit from BBNaija, another store owner, Megmario Empire, had accused her of posting a picture wearing their shoe without tagging the store for promotional purposes.


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- Finally, Real-Time Django Is Here: Get Started with Django Channels
- Getting started: how to make a real-time chat app in Django
- Where we’re going
- Installing and setting up Channels
- WebSocket consumers
- Deploying and scaling
- What’s next?
- Further Reading
Finally, Real-Time Django Is Here: Get Started with Django Channels
原文链接： https://blog.heroku.com/in_deep_with_django_channels_the_future_of_real_time_apps_in_django
Today, we’re thrilled to host Jacob Kaplan-Moss. Jacob’s a former Herokai and long-time core contributor to Django, and he’s here to share an in-depth look at something that he believes will define the future of the framework.
When Django was created, over ten years ago, the web was a less complicated place. The majority of web pages were static. Database-backed, Model/View/Controller-style web apps were the new spiffy thing. Ajax was barely starting to be used, and only in narrow contexts.
The web circa 2016 is significantly more powerful. The last few years have seen the rise of the so-called “real-time” web: apps with much higher interaction between clients and servers and peer-to-peer. Apps comprised of many services (a.k.a. microservices) are the norm. And, new web technologies allow web apps to go in directions we could only dream of a decade ago. One of these core technologies are WebSockets: a new protocol that provides full-duplex communication — a persistent, open connection between the client and the server, with either able to send data at any time.
In this new world, Django shows its age. At its core, Django is built around the simple concept of requests and responses: the browser makes a request, Django calls a view, which returns a response that’s sent back to the browser:
This doesn’t work with WebSockets! The view is only around for the lifespan of a single request, and there’s no mechanism to hold open a connection or send data down to the client without an associated request.
Thus: Django Channels. Channels, in a nutshell, replaces the “guts” of Django — the request/response cycle — with messages that are sent across channels. Channels allows Django to support WebSockets in a way that’s very similar to traditional HTTP views. Channels also allow for background tasks that run on the same servers as the rest of Django. HTTP requests continue to behave the same as before, but also get routed over channels. Thus, under Channels Django now looks like this:
As you can see, Channels introduces some new concepts to Django:
Channels are essentially task queues: messages get pushed onto the channel by producers, and then given to one of the consumers listening on that channel. If you’ve used channels in Go, the concept should be fairly familiar. The main difference is that Django channels work across a network and allow producers and consumers to run transparently across many dynos and/or machines. This network layer is called the channel layer. Channels is designed to use Redis as its preferred channel layer, though there is support for other types (and a first-class API for creating custom channel layers). There are neat and subtle technical details; consult the documentation for the full story.
Right now, Channels is available as a stand-alone app that works with Django 1.9. The plan is to roll Channels into Django for the 1.10 release, due out some time this summer.
I believe that Channels will be an incredible imporant addition to Django: they allow Django to move smoothly into this new age of web development. Although these APIs aren’t part of Django yet, they will be soon! So, now’s a perfect time to start learning about Channels: you can learn about the future of Django before it lands.
Getting started: how to make a real-time chat app in Django
As an example, I’ve built a simple real-time chat app — like a very, very light-weight Slack.
You can visit my deployment of the example online, check out the code on GitHub, or deploy your own copy with this button (which requires a free Heroku account, so sign up for that first):
Deploy
Note:
you’ll need to scale the worker process type up after using the button. Use the Dashboard, or run heroku ps:scale web=1:free worker=1:free.
For in-depth details on how the app works — including why you need worker dynos! — read on. I’ll walk through the steps to take to build this app, and highlight the import bits and concepts along the way.
First steps — it’s still Django
Although there are differences under the hood, this is still the same Django we’ve been using for ten years. So the initial steps are the same as any Django app. (If you’re new to Django, you might want to check out Getting Started With Python on Heroku and/or the Django Girls Tutorial.) After creating a project, we can define model to represent a chat room, and the messages within it (chat/models.py):
class Room(models.Model):
name = models.TextField()
label = models.SlugField(unique=True)
class Message(models.Model):
room = models.ForeignKey(Room, related_name='messages')
handle = models.TextField()
message = models.TextField()
timestamp = models.DateTimeField(default=timezone.now, db_index=True)
(In this, and all subsequent examples, I’ve trimmed the code down to the bare minimum, so we can focus on the important bits. For the full messy detailed code, see the project on Github.)
And then a view (chat/views.py, and the associated urls.py and chat/room.html template): def chat_room(request, label):
# If the room with the given label doesn't exist, automatically create it
# upon first visit (a la etherpad).
room, created = Room.objects.get_or_create(label=label)
# We want to show the last 50 messages, ordered most-recent-last
messages = reversed(room.messages.order_by('-timestamp')[:50])
return render(request, "chat/room.html", {
'room': room,
'messages': messages,
})
At this point, we have a functioning — if unexciting — Django app. If you run this with a standard Django install, you’d be able to see existing chat rooms and transcripts, but not interact with them in any way. Real-time chat doesn’t work — for that we need something that can handle WebSockets.
Where we’re going
To get a handle on what needed to be done on the backend, let’s look at the client code. You can find it in chat.js — and there isn’t much of it! First, we create a websocket:
var ws_scheme = window.location.protocol == "https:" ? "wss" : "ws";
var chat_socket = new ReconnectingWebSocket(ws_scheme + '://' + window.location.host + "/chat" + window.location.pathname);
Note that:
- Like HTTP and HTTPS, the WebSocket protocol comes in secure (WSS) and insecure (WS) flavors. We need to make sure to use the “correct” flavor.
- Because Heroku’s router has a 60-second timeout, I use a little shim around the browser WebSocket that automatically reconnects if the socket gets disconnected. (Thanks to Kenneth Reitz, who pointed this out in his Flask WebSocket example.)
Next, we’ll wire up a callback so that when the form’s submitted, we send data over the WebSocket (rather than POSTing it):
$('#chatform').on('submit', function(event) {
var message = {
handle: $('#handle').val(),
message: $('#message').val(),
}
chat_socket.send(JSON.stringify(message));
return false;
});
We can send any text data we’d like over the WebSocket. Like most APIs, JSON is easiest, so we’ll bundle up the data as JSON and send it that way.
Finally, we need to wire up a callback to fire when new data is received on the WebSocket:
chatsock.onmessage = function(message) {
var data = JSON.parse(message.data);
$('#chat').append('
'
+ '' + data.timestamp + '	'
+ '' + data.handle + '	'
+ '' + data.message + ' 	'
+ '
');
};
Simple stuff: just append a row to our transcript table, pulling data out of the received message. If I run this code now, it won’t work — there’s nothing listening to WebSocket connections, just HTTP. So now, let’s turn to connecting WebSockets.
Installing and setting up Channels
To “channel-ify” this app, we’ll need to do three things: install Channels, set up a channel layer, define channel routing, and modify our project to run under Channels (rather than WSGI).
1. Install Channels
To install Channels, simply pip install channels, then add “channels” to your INSTALLED_APPS setting. Installing Channels allows Django to run in “channel mode”, swapping out the request/response cycle with the channel-based architecture described above. (For backwards-compatibility, you can still run Django in WSGI mode, but WebSockets and all the other Channel features won’t work in this backwards-compatible mode.)
2. Choose a channel layer
Next, we need to define a channel layer. This is the transport mechanism that Channels uses to pass messages from producers (message senders) to consumers. It’s a type of message queue with some specific properties (see the Channels documentation for details).
We’ll use Redis for our channel layer: it’s the preferred production-quality channel layer, and the obvious choice when deploying to Heroku. There are also in-memory and database-backed channels layers, but those are more suited to local development or low-traffic usage. (For more details, again refer to the documentation.)
But first: because the Redis channel layer is implemented in a different package, we’ll need to pip install asgi_redis. (I’ll talk a bit more about what “ASGI” is below.) Then, we define our channel layer in the CHANNEL_LAYERS setting:
CHANNEL_LAYERS = {
"default": {
"BACKEND": "asgi_redis.RedisChannelLayer",
"CONFIG": {
"hosts": [os.environ.get('REDIS_URL', 'redis://localhost:6379')],
},
"ROUTING": "chat.routing.channel_routing",
},
}
Note that we’re pulling the Redis connection URL out of the environ, to future-proof for when we eventually deploy to Heroku.
3. Channel routing
In CHANNEL_LAYERS, we’ve told Channel where to look for our channel routing — chat.routing.channel_routing. Channel routing is a very similar concept to URL routing: URL routing maps URLs to view functions; channel routing maps channels to consumer functions. Also similar to urls.py, by convention channel routes live in a routing.py. For now, we’ll just create an empty one:
channel_routing = {}
(We’ll see a few channel routes below, when we wire up WebSockets.)
You’ll notice that our example app has both a urls.py and a routing.py: we’re using the same app to handle HTTP requests and WebSockets. This is expected, and typical: Channels apps are still Django apps, so all the features you except from Django — views, forms, models, etc. — continue to work as they did pre-Channels.
4. Run with channels
Finally, we need to swap out Django’s HTTP/WSGI-based request handler, for the one built into channels. This is based around an emerging standard called ASGI (Asynchronous Server Gateway Interface), so we’ll define that handler in an asgi.py file:
import os
import channels.asgi
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "chat.settings")
channel_layer = channels.asgi.get_channel_layer()
(In the future, Django will probably auto-generate this file, like it currently does for wsgi.py.)
At this point, if we got everything right, we should be able to run the app under channels. The Channels interface server is called Daphne, and we can run our app with it like so:
$ daphne chat.asgi:channel_layer --port 8888
** If we now visit http://localhost:8888/ we should see…. nothing happen. This might be confusing, until you remember that Channels splits Django into two parts: the front-end interface server, Daphne, and the backend message consumers. So to actually handle HTTP requests, we need to run a worker:
$ python manage.py runworker
Now, requests should go through. This illustrates something pretty neat: Channels continues to handle HTTP(S) requests just fine, but it does it in a complete different way. this isn’t too different from running Celery with Django, where you’d run a Celery worker alongside a WSGI server. Now, though, all tasks — HTTP requests, WebSockets, background tasks — get run in the worker.
(By the way, we can still run python manage.py runserver for easy local testing. When we do, Channels simply runs Daphne and a worker in the same process.)
WebSocket consumers
All right, enough setup; let’s get to the good parts.
Channels maps WebSocket connections to three channels:
- A message is sent to the websocket.connect channels the first time a new client (i.e. browser) connects via a WebSocket. When this happens, we’ll record that the client is now “in” a given chat room.
- Each message the client sends on the socket gets sent across the websocket.receive channel. (These are just messages received from the browser; remember that channels are one-direction. We’ll see how to send messages back to the client in a bit.) When a message is received, we’ll broadcast that message to all the other clients in the “room”.
- Finally, when the client disconnects, a message is sent to websocket.disconnect. When that happens, we’ll remove the client from the “room”.
First, we need to hook each of these channels up in routing.py:
from . import consumers
channel_routing = {
'websocket.connect': consumers.ws_connect,
'websocket.receive': consumers.ws_receive,
'websocket.disconnect': consumers.ws_disconnect,
}
Pretty simple stuff: just connect each channel to an appropriate function. Now, let’s look at those functions. By convention we’ll put these functions in a consumers.py (but, like views, these could be anywhere.)
Let’s look at ws_connect first:
from channels import Group
from channels.sessions import channel_session
from .models import Room
@channel_session
def ws_connect(message):
prefix, label = message['path'].strip('/').split('/')
room = Room.objects.get(label=label)
Group('chat-' + label).add(message.reply_channel)
message.channel_session['room'] = room.label
(For clarity, I’ve stripped all the error handling and logging from this code. To see the full version, see consumers.py on GitHub). This is dense; let’s go line-by-line:
-
The client will connect to a WebSocket with a URL of the form /chat/{label}/, where label maps to a Room’s label attribute. Since all WebSocket messages (regardless of URL) get sent to the same set of channel consumers, we’ll need to work out which Room we’re talking about by parsing the message path.
Notice that the consumer is responsible for parsing the WebSocket path by reading message[‘path’] . This is different from traditional URL routing, where Django’s urls.py routes based on path; If you have multiple WebSocket URLs, you’ll need to route to different functions yourself. (This is one place where the “early-days” aspects of Channels shows; it’s quite likely that future versions of Channels will include WebSocket URL routing.) -
Now, we can look up the Room object from the database.
-
This line’s the key to making chatting work. We need to know how to send messages back to this client. For that, we’ll use the message’s reply_channel — every message will have a reply_channel attribute, which we can use to send messages back to the client. (We don’t need to create that channel ourselves; Channels creates it for us.)
However, it’s not going to be good enough to just send messages to that one channel; when a user chats, we want to send messages to everyone who’s connected to that room. For that, we’ll use a channel group. A group is simply a connection of channels that you can broadcast messages to. So, we’ll add this message’s reply_channel to a group specific to this chat room. -
Finally, subsequent messages (receive/disconnect) won’t contain the URL anymore (since the connection is already active). So, we need a way of “remembering” which room a WebSocket connection maps to. For this, we can use a channel session. Channel sessions are very similar to Django’s session framework: they persist data between channel messages on an attribute called message.channel_session. Adding the @channel_session decorator to a consumer is all we need to make sessions work. (The documentation has more details on how channel sessions work).
Now that a client is connected, let’s take a look at ws_receive. This consumer will get called each time a message is received on the WebSocket:
@channel_session
def ws_receive(message):
label = message.channel_session['room']
room = Room.objects.get(label=label)
data = json.loads(message['text'])
m = room.messages.create(handle=data['handle'], message=data['message'])
Group('chat-'+label).send({'text': json.dumps(m.as_dict())})
(Once again, I’ve stripped error handling and logging for clarity.)
The first few few lines are pretty simple: extract the room from the channel_session, look it up in the database, parse the JSON message, and store the message in the database as a Message object. After that, all we have to do is broadcast this new message to everyone in the chat room, and for this we’ll use the same channel group as before. Group.send() will take care of sending this message to every reply_channel added to the group.
After that, ws_disconnect is very simple:
@channel_session
def ws_disconnect(message):
label = message.channel_session['room']
Group('chat-'+label).discard(message.reply_channel)
Here, after looking up the room in the channel session, we disconnect (discard) the reply_channel from the chat group. That’s it!
Deploying and scaling
Now that we’ve got WebSockets hooked up and working, we can test it out by running daphne and runworker, as above (or by running manage.py runserver). But it’s lonely talking to yourself, so let’s see what it takes to get this running on Heroku!
For the most part, a Channels app works the same as an Python app as Heroku — specify requirements in requirements.txt, define a Python runtime in runtime.txt, deploy with the standard git push heroku master, etc. (For a refresher, see the Getting Started with Python on Heroku tutorial.) I’ll just highlight the differences between a Channels app and a standard Django app:
1. Procfile and process types
Because Channels apps need both a HTTP/WebSocket server and a backend channel consumer, the Procfile needs to define both of these types. Here’s our Procfile:
web: daphne chat.asgi:channel_layer --port $PORT --bind <IP_ADDRESS> -v2
worker: python manage.py runworker -v2
And, when we do our initial deploy, we’ll need to make sure both process types are running (Heroku will only start the web dyno by default):
$ heroku ps:scale web=1:free worker=1:free
(A simple app will run within the limits of Heroku’s free or hobby tiers, though for real-world usage you’ll probably want to upgrade to production dynos to handle better throughput.)
2. Addons: Postgres and Redis
Like most Django apps, you’ll want a database, and Heroku Postgres is perfect for that. However, Channels also requires a Redis instance to act as the channel layer. So, we’ll want to create both a Heroku Postgres and a Heroku Redis instance when deploying our app for the first time:
$ heroku addons:create heroku-postgresql
$ heroku addons:create heroku-redis
3. Scaling
Since Channels is fairly new, the scalability issues aren’t quite known yet. However, I can make a few guesses based on the architecture and some early performance tests I ran. The key is that Channels splits processes between those responsible for handling connections (daphne), and those responsible for handling channel messages (runworker). This means that:
- The throughput of channels — HTTP requests, WebSocket messages, or custom channel messages — is mostly determined by the number of worker dynos. So, if you need to handle greater request volume, you’ll do it by scaling up worker dynos (e.g. heroku ps:scale worker=3).
- The level of concurrency — the number of current open connections — will mostly be limited by the scale of the front-end web dyno. So, if you needed to handle more concurrent WebSocket connections, you’d scale up the web dyno (e.g. heroku ps:scale worker=2)
Based on my early performance tests, Daphne is quite capable of handling many hundreds of concurrent connections on a Standard-1X dyno, so I expect it’ll be rare to have to scale up the web dynos. The number of worker dynos in a Channels app seems to map fairly closely to the number of needed web dynos in a similar old-style Django app.
What’s next?
WebSocket support is a huge new feature for Django, but it only scratches the surface of what Channels can do. Remember: Channels is a general-purpose utility for running background tasks. Thus, many features that used to require Celery or Python-RQ could be done using Channels instead. Channels can’t replace dedicated task queues entirely: it has some important limitations, including at-most-once delivery, that don’t make it suitable for all use cases. See the documentation for full details. Still, Channels can make common background tasks much simpler. For example, you could easily use Channels to perform image thumbnailing, send out emails, tweets, or SMSes, run expensive data calculations, and more.
As for the Channels itself: plan is to include Channels in Django 1.10, which is scheduled for release this summer. This means that now’s a great time to try it out and give feedback: your input could help drive the direction of this critical feature. If you want to get involved, check out the guide to Contributing to Django, then hop onto the django-developers mailing list to share your feedback.
Finally: major thanks to Andrew Godwin for his work on Channels. This is a tremendously exciting new direction for Django, and I’m thrilled to see it starting to take shape.
Further Reading
For more information about Channels, please see the Channels documentation, which includes a ton more details and reference, including:
- Answers to some Frequently Asked Questions about Channels.
- The plan of record for integrating Channels into Django.
- The formal Asynchronous Server Gateway Interface (ASGI) spec (if you really want all the technical details!)
For more information on Python on Heroku, visit Python on Heroku in Dev Center. A couple of particularly good articles I recommend are:
- Getting Started with Python on Heroku
- Configuring Django apps for Heroku


influenza [MeSH] seasonal transmission vaccination studies study general GPs practice {border-style protective px;} #ffffff;} care practices. waiting interventions measures HCWs patients performed risk Health infection Influenza evidence Lausanne University protection review control effectiveness impact practices prevention toys Public SII intervention respiratory virus MeSH RTI coverage healthcare influenza-like preventive systematic Med RNA cleaning primary px; {font-family ‘Influenza (RR Box Centre Cochrane Michiels NPIs Primary antibody assessing definitions font-size group hand literature reduce samples search showed specifically surface used vaccinating (%) Natural Switzerland [], assessed double; illness influenza. practice. published quality research studies, terms: use viral wording: Care General Infect Pappas Unisanté bias border-color border-width case criteria decrease effective experimental family health high infection, prevent setting setting. settings solid; staff trial {font-style {font-weight Fam HCWs, January Medicine’ Open Personal Physician Physician, Protection RTI, Vaccination Vaccine aOR abstract article bold clinical colonisation community community. contact controlled courier; data direct disinfection em; existing hygiene illnesses included infection. infections influence observed older patients. positive possible practice, practices, provides pt;} recommendations reducing reduction relevant retained taken terms tested vaccinated workers ‘General


| Interface | Description |
|---|---|
| FindUsers.loadUserCallBack |
* @reuse: https://stackoverflow.com/questions/47847694/how-to-return-datasnapshot-value-as-a-result-of-a-method
|
| MainActivity.loadNotifCallBack | |
| NotifyActivity.loadNotifCallBack |
The interface Load notif call back.
|
| RatingTest.loadBookCallBack |
| Class | Description |
|---|---|
| AddBookInfo |
this activity is to add information about the book
when creating a new book.
|
| BookInfo |
User is able to edit or delete the book they have selected
|
| CreateRequest |
this activity is intended to send request to owner of the book,
at current state, it will change the status of the book and
update in firebase
|
| FindBooks |
load all the books from firebase and then search them,
display the searching result
|
| FindUsers |
Represents a user search
|
| LoginActivity |
A login screen that offers login via email/password.
|
| MainActivity |
Represents the primary activity after login
|
| MyBooks |
Represents the books that an owner owns
|
| NotifyActivity |
Creates notifications and allows interactions with notifications
|
| Profile |
Enables user to change the details of their profile
|
| RatingTest |
Creates and calculates rating for user and books
|
| RegisterActivity |
Represents the user registration activity
|
| RequestedBookList |
The type Requested book list.
|
| ViewAcceptedOwnerRequest |
Prepares information to scan for swap
|
| ViewAcceptedRequest |
Allows borrower to scan to receive book for first time
|
| ViewReturnRequestBorrower |
The type View return request owner.
|
| ViewReturnRequestOwner |
Prepares information to scan for owner return
|


Adventure X | Partnerships
{%endblock%}
{%block content%}
You're home!
It’s been a long journey. You started out with just a small group, trying to make little changes here and there, but you’ve returned with so much more. You’ve met students, teachers, doctors, nurses, kids, parents, and so many others. You’ve donated to charities, helped rebuild communities, and fought for social differences. By striving for sustainability for all, you’ve created partnerships that will hopefully last a lifetime, ensuring a future that generations ahead will be proud of.


- update(Observable, Object) - Method in class games.Checkers
-
Not used in this game, but this is called immediately upon receiving an
input.
- update(Observable, Object) - Method in class games.Checkers2
-
- update(Observable, Object) - Method in class games.Game
-
Implementation should process Launchpad Input
- update(Observable, Object) - Method in class games.GameOfLife
-
Processes input from the Launchpad
- update(Observable, Object) - Method in class games.LightsOut
-
Processes Input from the Launchpad S immediately.
- update(Observable, Object) - Method in class games.ReactionGame
-
Processes input from Launchpad S
- update(Observable, Object) - Method in class games.Simon
-
Processes input from the Launchpad S.
- update(Observable, Object) - Method in class games.Snake
-
Processes input from the Launchpad S.
- update(Observable, Object) - Method in class piano.Piano
-
Processes MIDI inputs from the Launchpad S and calls the necessary
methods
- update(Observable, Object) - Method in class tech_demo.Animation
-
Implements the control buttons.
- update(Observable, Object) - Method in class tech_demo.IdleAnimations
-
Terminates the idle animations if any button on the launchpad is pressed.
- update(Observable, Object) - Method in class tech_demo.ReactiveDemo
-
This method is instantly called whenever an input is received.
- update(Observable, Object) - Method in class tech_demo.ScrollingText
-
Processes input from the Launchpad.
- updateAllTime() - Method in class gui.StatisticsGUI
-
Updates the metrics for the all time statistics
- updateAverage(boolean) - Method in class games.ReactionGame
-
Updates the player's average timing.
- updateCurrent() - Method in class gui.StatisticsGUI
-
Updates the metrics for the current session's statistics
- updateCurrentAnimationsCalled() - Method in class gui.StatisticsGUI
-
Updates the current sessions' Animations Called statistic
- updateCurrentDataReceived() - Method in class gui.StatisticsGUI
-
Updates the current sessions' Received Data statistic
- updateCurrentDataSent() - Method in class gui.StatisticsGUI
-
Updates the current sessions' Sent Data statistic
- updateCurrentGamesPlayed() - Method in class gui.StatisticsGUI
-
Updates the current sessions' Games Played statistic
- updateCurrentPadsLit() - Method in class gui.StatisticsGUI
-
Updates the current sessions' Pads Lit statistic
- updateCurrentPadsPressed() - Method in class gui.StatisticsGUI
-
Updates the current sessions' Pads Pressed statistic
- updateCurrentTechDemosRan() - Method in class gui.StatisticsGUI
-
Updates the current sessions' Tech Demos Ran statistic
- updateDatabase() - Static method in class gui.LightsOutGUI
-
Updates the Leaderboard on the GUI
- updateDatabase() - Static method in class gui.SimonGUI
-
Updates the Leaderboard on the GUI
- updateDatabase() - Static method in class gui.SnakeGUI
-
Updates the Leaderboard on the GUI
- updateGUI() - Static method in class games.LightsOut
-
Updates the GUI
- updateMoves(int, int) - Method in class games.Checkers2
-
- updateMoves() - Method in class games.Checkers2
-
- updateMovesKing(int, int) - Method in class games.Checkers2
-
- updateMovesKing(Checkers2.CheckerCell, Checkers2.CheckerCell, int) - Method in class games.Checkers2
-
- updateNeighboursMinus(int, int) - Static method in class games.GameOfLife
-
Decrements the neighbours count on all adjacent cells
- updateNeighboursPlus(int, int) - Static method in class games.GameOfLife
-
Increments the neighbours count on all adjacent cells
- updatePadsLit() - Static method in class launchpad_s_plus.Display
-
Updates the statistics with the current session's number of pads lit and
amount data sent
- updatePadsPressed() - Static method in class launchpad_s_plus.Input
-
Updates pads pressed statistics
- updateScore(int) - Method in class games.ReactionGame
-
Updates the player's score on the GUI
- updateStats() - Method in class gui.StatisticsGUI
-
Updates the metrics for all the statistics
- updateTotalAnimationsCalled() - Method in class gui.StatisticsGUI
-
Updates the all time Animations Called statistic
- updateTotalDataReceived() - Method in class gui.StatisticsGUI
-
Updates the all time Received Data statistic
- updateTotalDataSent() - Method in class gui.StatisticsGUI
-
Updates the all time Sent Data statistic
- updateTotalGamesPlayed() - Method in class gui.StatisticsGUI
-
Updates the all time Games Played statistic
- updateTotalPadsLit() - Method in class gui.StatisticsGUI
-
Updates the all time Pads Lit statistic
- updateTotalPadsPressed() - Method in class gui.StatisticsGUI
-
Updates the all time Pads Pressed statistic
- updateTotalTechDemosRan() - Method in class gui.StatisticsGUI
-
Updates the all time Tech Demos Ran statistic
- useVMIDI - Static variable in class piano.Piano
-
- usingRecorded - Variable in class piano.PianoKey
-
- usingVMIDI - Static variable in class gui.PianoGUI
-


--- layout: post title: Using text file to create Shapefile date: 2010-12-06 16:21:48.000000000 -06:00 type: post published: true status: publish categories: - Geoprocessing with Python tags: [] meta: _edit_last: '15714693' _wp_old_slug: '' _wpas_skip_twitter: '1' author: login: broberts65 email<EMAIL_ADDRESS>display_name: Bob Roberts first_name: '' last_name: '' ---
Well, it seems as though all of the things we learn, are learned due to necessity. I have always worked with either layers or database tables in my Python Geoprocessing scripts. It has always worked so there has not been a need to try something different, until last week.
Working on a Python tool for importing a file I requested a .dbf table. I kept running into issues with the formatting or the header names or what have you. I was asked if I can take a .csv for an input file. I assumed this was possible so off I went to solve my new issue. After a couple of quick Google searches I found what I needed and the ESRI thread that I found was answered by a friend of mine named R.D. and if you spend ANY time on the forums, you will see his name.
CODE
[sourcecode language="Python"]
import sys, os, glob
import arcgisscripting
# Create the geoprocessor object
gp = arcgisscripting.create()
# Create the geoprocessor object
## System arguments
# Input Customer .csv
Stops = sys.argv[1]
# Output Stops shapefile
Stops_output = sys.argv[2]
# Set the workspace for the processing files
gp.workspace = os.path.dirname(sys.argv[3])
import arcgisscripting, os
gp = arcgisscripting.create()
gp.AddMessage("\nCreating processing .dbf from .csv...")
gp.TableToDbase_conversion(Stops, os.path.dirname(sys.argv[3])) #1
gp.AddMessage("\nCreating Event Layer")
gp.MakeXYEventLayer_management(Stops[:-4]+".dbf", "X", "Y", Stops[:-4]) #2
# Create a prj file for Stops_output.shp #3
coordsys = "Coordinate Systems/Geographic Coordinate Systems/World/WGS 1984.prj"
gp.defineprojection(Stops[:-4], coordsys)
[/sourcecode]
Obviously that is just a snippet of the code but you should get the idea. #1 shows using the TableToDbase_conversion geoprocessing function. I have found very little info on this function so I do not know what possible arguments that can be used. What I do know is that you will get a .dbf file with the exact same name as the original file and the .dbf extension. #2 Then takes the resulting .dbf from #1 by using the input Stops[:-4] to take the original name and remove the .csv (4 spaces back) and then concatenated it together with ".dbf". This then uses the X and Y coordinates to create the new layer and assigns it to the original Stops input name.
In order for the new resulting shapefile to work, you will need to define the projection to the correct coordinate system as seen in #4.
Hope this helps :)
BR


Provides neutral landscape models (<doi:10.1007/BF02275262>, <http://sci-hub.tw/10.1007/bf02275262>). Neutral landscape models range from "hard" neutral models (completely random distributed), to "soft" neutral models (definable spatial characteristics) and generate landscape patterns that are independent of ecological processes. Thus, these patterns can be used as null models in landscape ecology. 'nlmr' combines a large number of algorithms from other published software for simulating neutral landscapes. The simulation results are obtained in a geospatial data format (raster* objects from the 'raster' package) and can, therefore, be used in any sort of raster data operation that is performed with standard observation data.
| Version: | 0.4 |
| Depends: | R (≥ 3.1.0) |
| Imports: | checkmate, dplyr, RandomFields, raster, spatstat, stats, tibble, fasterize, sf, Rcpp |
| LinkingTo: | Rcpp |
| Suggests: | testthat, covr, knitr, rmarkdown, lintr, landscapetools |
| Published: | 2018-11-16 |
| Author: | Marco Sciaini [aut, cre], Matthias Fritsch [aut], Craig Simpkins [aut], Cédric Scherer [aut], Sebastian Hanß [aut], Laura Graham [rev] (Laura reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/188), Jeffrey Hollister [rev] (Jeffrey reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/188) |
| Maintainer: | Marco Sciaini <sciaini.marco at gmail.com> |
| BugReports: | https://github.com/ropensci/NLMR/issues/ |
| License: | GPL-3 |
| URL: | https://ropensci.github.io/NLMR/ |
| NeedsCompilation: | yes |
| SystemRequirements: | C++11 |
| Citation: | NLMR citation info |
| Materials: | NEWS |
| CRAN checks: | NLMR results |
| Reference manual: | NLMR.pdf |
| Vignettes: |
Basic Usage of NLMR |
| Package source: | NLMR_0.4.tar.gz |
| Windows binaries: | r-devel: NLMR_0.4.zip, r-release: NLMR_0.4.zip, r-oldrel: NLMR_0.4.zip |
| OS X binaries: | r-release: NLMR_0.4.tgz, r-oldrel: NLMR_0.4.tgz |
| Old sources: | NLMR archive |
Please use the canonical form https://CRAN.R-project.org/package=NLMR to link to this page.


--- layout: post title: Avoid Cliches like the Plague date: 2014-08-11 17:37:27.000000000 -05:00 type: post published: true status: publish categories: [feed] tags: random meta: _edit_last: '8005175' _publicize_pending: '1' geo_public: '0' author: login: dvollrath email<EMAIL_ADDRESS>display_name: dvollrath first_name: '' last_name: '' ---
I move to expunge the phrase "We examine XXXXXX through the lens of a XXXXXX model" from common usage in economics papers.
Three for three on the latest referee requests I received.


--- subject: Achievement Earned! --- Achievement Earned! ${name} ${description} Call to Action 👉 @copywrite nobody<EMAIL_ADDRESS>| Manage Email Notifications | Unsubscribe
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Stopwords in Several Languages
List of stopwords by the spaCy 1 package, useful in text mining, analyzing content of social media posts, tweets, web pages, keywords, etc.
Each list is accessible as part of a dictionary stopwords
which is a normal
Python dictionary.
Stopword Languages
Arabic
Azerbaijani
Bengali
Catalan
Chinese
Croatian
Danish
Dutch
English
Finnish
French
German
Greek
Hebrew
Hindi
Hungarian
Indonesian
Irish
Italian
Japanese
Kazakh
Nepali
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Sinhala
Spanish
Swedish
Tagalog
Tamil
Tatar
Telugu
Thai
Turkish
Ukrainian
Urdu
Vietnamese
You can easily explore the available languages and get (and optionally modify) the stopwords by accessing the dictionary as follows:
import advertools as adv
adv.stopwords.keys()
dict_keys(['arabic', 'azerbaijani', 'bengali', 'catalan', 'chinese',
'croatian', 'danish', 'dutch', 'english', 'finnish', 'french',
'german', 'greek', 'hebrew', 'hindi', 'hungarian', 'indonesian',
'irish', 'italian', 'japanese', 'kazakh', 'nepali', 'norwegian',
'persian', 'polish', 'portuguese', 'romanian', 'russian', 'sinhala',
'spanish', 'swedish', 'tagalog', 'tamil', 'tatar', 'telugu', 'thai',
'turkish', 'ukrainian', 'urdu', 'vietnamese'])
You can also access the stopwords of a certain language:
print(sorted(adv.stopwords['english'])[:5])
print(sorted(adv.stopwords['german'])[:5])
Footnotes
- 1
Copyright (C) 2016 ExplosionAI UG (haftungsbeschränkt), 2016 spaCy GmbH, 2015 Matthew Honnibal


Little Mix wow Birmingham crowds on their LM5 tour at Resorts World Arena
Little Mix are on a three night stint at Resorts World Arena, Birmingham
by Christina Savvas, https://www.birminghammail.co.uk/authors/christina-savvas/You can’t get away from Little Mix at the moment.
They are everywhere, from promoting their new TV talent show, to taking on the Big Apple - by dominating Times Square with sizzling PrettyLittleThing billboards.
It's not surprising that they have a huge following, with their fabulous style, great vocals and pure sass.
My seven year old daughter literally screamed the place down when I revealed we were going to see the quartet on the LM5 tour, and I admit I was almost as excited.
Thousands packed out the Resorts World Arena for the second of a three night stint in Birmingham and the girls absolutely smashed it.
It's hard to believe that it's been eight years since Jade Thirlwall , Perrie Edwards, Jesy Nelson and Leigh-Anne Pinnock, were first thrown together on the X-Factor.
Now onto their fifth album, Little Mix have stormed on as many of their pop peers have fallen by the wayside.
The concert kicked off in a predictable way - pyrotechnics, synchronised dancing and skimpy outfits.
With a girl power theme from the start, the girls started with Salute 'representing all the women. Then came Power and Woman Like Me. The atmosphere was fantastic from the start with positive energy filling the arena.
The dance moves were great, the several outfit changes impressive and the stage management all adding to the show. What the girls don't often get credit for is their vocals but the double header of The Cure and Secret Love Song was enough to silence critics.
The epic ballad, which has become an anthem for the LGBT community, provided one of the big highlights of the night as the girls glided above the audience and rainbow confetti burst from cannons.
Then when the tempo was stepped back up the arena was in full party mood, everybody on their feet dancing, punching the air and generally having the best night.
My seven-year old sang along as she looked on in amazement at her idols. The messages of empowerment and feminism may have appeared lost on her but she understood that these girls worked hard and believed in themselves in order to achieve their dreams and that is a good enough message for her to take away.
A truly memorable night. If you have tickets for the tour, get ready to party!
Little Mix are in Birmingham on November 9 before continuing their UK tour.


Think an Email is tracked but Trocker doesn't block it? Remove your personal info and forward it to us at<EMAIL_ADDRESS>If you have any issues with Trocker, email us at<EMAIL_ADDRESS>or report the issue on GitHub.
Thanks for reporting issues. Given that Trocker needs to react to any breaking changes in webmails, we may not know about new issues unless you report them. Also, please consider giving us a chance to fix the issues before leaving a bad rating/review.
Finally, if you like Trocker, please consider rating it on the Chrome Webstore and/or the Firefox add-ons page.


Kubernetes Opex Analytics, Version {{ koa_version }}.
Copyright © 2019 Rodrigue Chakode and contributors.
Kubernetes Opex Analytics is designed and made available free of charge thanks to the support of REALOPS'LABS company
(https://realopslabs.com).
The product is licensed under the Apache License,
Version 2.0 (the "License"); you may not use this product except
in compliance with the License. You may obtain a copy of the
License at:
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, the product
is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF
ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
This product uses third-party libraries released under their own license terms.


| I l@ve RuBoard |
Our last chapter in this part of the book has to do with exceptions—events that can modify the flow of control through a program. In Python, exceptions can be both intercepted and triggered by our programs. They are processed by two new statements we'll study in this chapter:
Catches exceptions raised by Python or a program
Triggers an exception manually
With a few exceptions (pun intended), we'll find that exception handling is simple in Python, because it's integrated into the language itself as another high-level tool.
| I l@ve RuBoard |


Procedural content generation is a great way to generate interesting worlds, and dungeon generation is often the first step in level creations. A variety of algorithms have been researched and developed to produce interesting random levels that make games, especially roguelike games, unique and fun.
Procedural Cave
The project initially began around July of 2010 as a simple excercise to generate random caves and dungeons procedurally. Months later, some of this program's code was used in while working on a game's level generator. As the dungeon generator grew and more algorithms were added, the generator was split off as a stand-alone system capable of creating nice dungeons using a variety of methods.
Below is the original prototype cave generator, which procedurally "grows" a cave based on user inputs. To create a new cave, press Enter.
The dungeon generation code is very modular, so it should be very easy to add new dungeon algorithms. The program creates a grid in the form of a 2D array and passes it to the dungeon algorithm, which then modifies that array. Too add a new algorithm, just create a new file with your new code and pass the array to it.
Algorithms
Several algorithms are implemented; some are very simple while others contain complex data structures and pathfinding algorithms. Read on for an explanation of each algorithm, or go to the end to look at the results, as well as downloads and the source code.
Random Room Placement
One of the most simple and probably the most used dungeon algorithm. This method places rooms randomly on the grid, then loops over each room and attempts to connect them. If given the chance, random tunnels can also be dug out to give the dungeon a more natural feel. The steps are as follows:
- Determine the number of rooms to be created based on the room layout selected, and updates various user-configured variables in updateParam()
- Calls initRooms() to create a room of random width and height at a random location on the grid. A random number of openings (doors) are placed on the room's walls.
- Check if the room is outside of the grid or blocked by another room or corridor through blockRoom(). If blocked, delete the room and repeat step 2.
- After all rooms are initialized, call initCorridors() to connect the openings in each room. In basicAStar(), A* pathfinding is used to look for the optimal path from one door to another. Weights are used so that the corridors are more likely to be straight and join each other.
- If there are any openings left unconnected, randomly tunnel corridors out from the opening by calling tunnelRandom(), if the corridor reaches a room wall, add a door there.
Different types of dungeons can be generated based on minimum and maximum room size and the number of rooms. The A* algorithm uses the Manhattan method to calculate its heuristics, and a Binary Heap is used to store the nodes.
References:
- pcg.wikidot.com/pcg-algorithm:dungeon-generation
- donjon.bin.sh/dungeon/about/
- www.policyalmanac.org/games/aStarTutorial.htm
Cellular Automata
Based on the cellular automata method by Jim Babcock, this algorithm uses cellular automaton to create natural-looking caves. Usually cellular automation uses the 4-5 rule: a tile becomes a wall if it was a wall and 4 or more of its nine neighbors were walls, or if it was not a wall and 5 or more neighbors were. This algorithm is a slightly modified version of that logic:
Tile T will be filled if either
- T is already filled *and* at least 4 of its neighbors are filled
- T is not yet filled *and* at least 5 of its neighbors are filledThis is the same thing as sayin
Tile T will be filled if the number of tiles within one step of T, including T itself, is at least 5.But this is not the function which my sample program uses. The function I use is
Tile T will be filled if the number of tiles within one step of T, including T itself, is at least R1Cutoff OR the number of tiles within TWO steps of T, including T itself, is at MOST R2Cutoff.So, if R1Cutoff=4 and R2Cutoff=5, that will happen almost all of the time.
Anyways, the function I eventually chose as the 'best' answer was
Fill: 40%
Repeat 4 times:
R1 cutoff: 5
R2 cutoff: 2
Repeat 3 times:
R1 cutoff: 5
R2 cutoff: -1So the parameters would be
xsize ysize 40 5 2 4 5 -1 3
So, it first fills the grid randomly with walls and empty cells, then goes over each grid cell and applies the following rules to the cell:
- A tile T becomes a wall if 5 or more of the tiles within one step of T are walls.
- A tile T becomes a wall if 2 or less of the tiles within two step of T are walls.
Repeat that three times, and the user gets a somewhat natural-looking cave. To clean up the cave further and reduce the number of disconnected caves, the loop is run for four more iterations, except this time a tile T becomes a wall if 5 or more of the tiles within one step of T are walls, and becomes a wall if none of the tiles within two step of T are walls.
Do note that although the second iteration lowers the possibility of disjointed caves, it may still happen.
References:
- www.jimrandomh.org/misc/caves.html
- pixelenvy.ca/wa/ca_cave.html
BSP Tree
This is an algorithm that takes advantage of a tree data structure called BSP tree to make sure there are no overlapping rooms during dungeon generation. The algorithm itself is fairly straightforward, as outlined below (check here for a more visual explanation):
- Start with a rectangular dungeon.
- Choose a random direction (horizontal or vertical) and location (x for vertical or y for horizontal).
- Split the dungeon into two sub-dungeons using the parameters obtained in step 2.
- Pick a random sub-rectangle and repeat step 2 for n iterations.
- After n iterations, place random sized rooms in each of the rectangles.
- Connect each room by looping through all the split rectangles and connect each split sub-regions.
References:
- www.roguebasin.com/index.php?title=Basic_BSP_Dungeon_generation
- stackoverflow.com/questions/4997642/simple-example-of-bsp-dungeon-generation
Procedurally Build
Based on the method described by Mike Anderson, this is another fairly simple algorithm, and one that most resemble how an actual dungeon is built. The algorithm first generates a room in the center of the grid, then connects more rooms and corridors to the room and newly placed elements. In effect, the dungeon "grows" outward from the center room:
- Fill the whole map with solid earth
- Dig out a single room in the centre of the map
- Pick a wall of any room
- Decide upon a new feature to build
- See if there is room to add the new feature through the chosen wall
- If yes, continue. If no, go back to step 3
- Add the feature through the chosen wall
- Go back to step 3, until the dungeon is complete
The original code tends to create rooms connected to rooms with dead end corridors sticking out, this version is modified to reduce the number of dead ends and increase the likelihood of a room being generated at the end of a corridor.
This algorithm is implemented to test the extensibility of the dungeon generator, efforts were made to retain as much of the original code as possible.
References:
- www.roguebasin.com/index.php?title=Dungeon-Building_Algorithm
- www.roguebasin.com/index.php?title=Java_Example_of_Dungeon-Building_Algorithm
- openprocessing.org/visuals/?visualID=18822
Results
The program should be fairly straightforward to use. Press 'space' to generate new dungeons, play around with the parameters and see how they affect the dungeon created. Click 'Save' to save the current dungeon to a file.
Download the generator for your system of choice:
Windows: [ v1.3.0 (32-bit) ] [ v1.3.0 (64-bit) ]
Mac: [ v1.3.0 ]
Linux: [ v1.3.0 (32-bit) ] [ v1.3.0 (64-bit) ] [ v1.3.0 (ARMv6 hf) ]


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My Works
Julia
Julia is Citex company project. its a platform for help users to investment on crypto currency... you can check the project from my github repo
Julia-farsi
Julia-farsi is persian version of Julia Project its not just another same project with diffrent language! its also have Differences in stracture
Made In Iran
Made-in-iran is an ecommerce shoping app. its made by React Native its hybrid and cross platform (runs both on android and ios)
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mognia is my portfolio website that i made it with my own hands! :)) and if you reading this thats mean you are checking it so thats all no need more talk!
What Do i Know?!
Java Script
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The McDonnell Douglas A-4G Skyhawk is a variant of the Douglas A-4 Skyhawk attack aircraft developed for the Royal Australian Navy (RAN). The model was based on the A-4F variant of the Skyhawk, and was fitted with slightly different avionics as well as the capacity to operate AIM-9 Sidewinder air-to-air missiles. The RAN received ten A-4Gs in 1967 and another ten in 1971, and operated the type from 1967 to 1984.


To upload a series of maps into Maptcha, you need to upload a CSV that contains a row for each map. There are 4 required fields, but more is encouraged.
Here's an example CSV file to get you started.
Entrance to San Francisco Bay California.
1859
http://dropbox.com/8467/8075467309_d1eb3cee97_o.jpg
San Francisco, Oakland, Sacramento
50,000
37.7706/-122.3782
Entrance to San Francisco Bay California. From a Trigonometrical Survey under the direction of A.D. Bache Superintendent of the Survey Of The Coast Of The United States. Triangulation by R.D. Cutts Asst. & A.F. Rodgers Sub-Assts. Hydrography by the Party under the command of Lieut. Comdg. James Alden U.S.N. Asst. 1859. U.S. Coast Survey Office. Verified W.R. Palmer ... No. 36. Redd. Drng. by W.M.C. Fairfax, J. Lambert, & J.J. Ricketts. Engd. by J. Knight, A. Blondeau & G.B. Metzeroth. Electrotype Copy No. 2 by G. Mathiot U.S.C.S. (inset map) Sub-Sketch Of Entrance To San Francisco Bay. 1859.).
Light paper chart-full margins, shows plate marks. Map is without color.
chart map, publisher: U.S. Coast Survey Washington
© Copyright 1998 Cartography Associates
David Rumsey Historical Map Collection
United States Coast Survey
http://www.davidrumsey.com/luna/servlet/detail/RUMSEY~8~1~207~20027:Entrance-to-San-Francisco-Bay-Calif?qvq=mgid:23358&mi=0&trs=15
8075467309_d1eb3cee97_o.jpg
id:davidrumsey=20720027
120 centimetres
80 centimetres


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Fullscreen app
This is a fullscreen app. It handles its own navigation and everything else. Cockpit just has a title bar at the top.
This is a fullscreen app. It handles its own navigation and everything else. Cockpit just has a title bar at the top.


You can easily vertically center things by adding the class valign-wrapper
to the container holding the items you want to vertically align.

This should be vertically aligned

These classes are for horizontally aligning content. We have .left-align
, .right-align
and .center-align

This should be left aligned

This should be right aligned

This should be center aligned

We provide easy to use classes to hide content on specific screen sizes.
| Screen Range | |
|---|---|
.hide-on-small-only |
Hidden for Mobile Only |
.hide-on-med-only |
Hidden for Tablet Only |
.hide-on-med-and-down |
Hidden for Tablet and Below |
.hide-on-med-and-up |
Hidden for Tablet and Above |
.hide-on-large-only |
Hidden for Desktop Only |


--- layout: post title: I switched Linux tags: - Linux status: publish type: post published: true meta: {} --- Ubuntu in Launchpad
Ubuntu is a complete Linux-based operating systemWell after the Novell/Microsoft debacle I switched from OpenSUSE to Ubuntu. It worked fairly well although wireless does not yet work. A big step forward is that my laptop now sleeps, and so should I!. Ubuntu seems to be the hot distro. at the moment, I recommend taking it for a spin if you are shopping for a new Linux. Some top tips:
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Uploaded files 23 June 2018
Pre 16 files| File type | UKPRN | Academic year | Completed |
|---|---|---|---|
| Reconcilliation statement | 12345678 | 2018 to 2019 | |
| Reconcilliation statement | 12345678 | 2018 to 2019 | |
| Reconcilliation statement | 12345678 | 2018 to 2019 | |
| Reconcilliation statement | 12345678 | 2018 to 2019 | |
| Reconcilliation statement | 12345678 | 2018 to 2019 | |
| Reconcilliation statement | 12345678 | 2018 to 2019 | |
| Reconcilliation statement | 12345678 | 2018 to 2019 | |
| Reconcilliation statement | 12345678 | 2018 to 2019 |