The android platform has a very easy way that we could capture audio; either from the gadgets microphone, or a call. Lets see how we will build a custom recording application.
The Android multimedia framework includes support for capturing and encoding a variety of common audio formats, so that you can easily integrate audio into your applications. You can record audio using the MediaRecorder APIs if supported by the device hardware and playback audio using MediaPlayer. This write-up will introduce you on how to record audio and play it back.
Note: The Android Emulator does not have the ability to capture audio, but actual devices are likely to provide these capabilities.
You will need the following tools to accomplish the purpose of this write-up:
Basically we are starting off with an empty activity template. What this means is that we are given the whole authority to choose which ever way we want our launcher (first activity that shows) to be.
Designing the view
Enough of the talks. Lets do some action. We will start off first with the view of the application. We need to put our designing swag on as this will need a little bit of artistic mind to finish it up. Okay, I came up with the following design.
Making the app work
Now lets outline the steps that the app will go through to call it a working application.
Launch the app.
Click the START RECORD button and record your sound.
Eventually click the STOP RECORD button to stop recording.
Click the PLAY RECORD button to play the sound you recorded.
Eventually click the STOP PLAYBK to stop the playback.
Click the REFRESH REC to start the process over again.
Simple right? Lets take this little by little. First lets see how our MainActivity.java file should look like before we start editing it.
Now lets create an instance of all the elements on the view and every other variables we might need.
Now lets go on and write some code for the one function/method that controls all our major actions or events.
To record a sound you have to do the following:
set the source of the recording to the phone’s microphone
make output format .3gpp
encode the recorded file
set the output file
prepare and start recording
This is how the startRecord() function should look like:
This is how the stopRecord() function should look like:
This is how the playRecord() should look like:
This is how the stopPlayback() should look like:
This is how the refreshActivity() should look like:
Now finally, to make the application not hang when recording sound we need to seek permission from the device to use it’s microphone and also gain access to write a file to the external storage. All these should be done in the AndroidManifest.xml file. This is how this file should look like:
After you are sure you understand the processes taken to record a media file and play it back, test the application on a physical device - not an emulator, and leave your issues and feedback in the comments box. Whoops this is lengthy, but it is worthwhile.


Help
Tips
- Click on the HTML or JavaScript labels to hide the JavaScript panel (this is stored to your preferences).
- To only show the HTML panel use #html on the end of the url, such as http://jsbin.com/#html
- “Use as my template” stores the current code as the default code you see when you open a new JS Bin window.
- Refreshing the window will not lose your changes.
- Use
console.log
to display debug information. If Firebug is present, then the logging goes there, otherwise it will show in a custom console window. - To view only the JavaScript append
/js
to the url, i.e. http://jsbin.com/ujayi/js
Keyboard navigation
ctrl + 1
View sourcectrl + 2
View previewctrl + ←
Focus JavaScriptctrl + →
Focus HTML
FAQ
When I change the url to a different JS Bin, it still has the old code
Click the revert button and it will reload the code from the database based on the url you requested.
Can I run a Gist in JS Bin?
Funny you ask! Absolutely you can - just save the gist in Github, and either using the gist to JS Bin bookmarklet, or change the url from http://gist.github.com/271333 to http://jsbin.com/gist/271333
I didn't insert the JavaScript and it still runs
When you tab to the output panel, JS Bin automatically inserts your JavaScript on the fly, so you don’t need to worry about it.
I need my JavaScript inserted in a specific position
Either insert the JavaScript directly in to the HTML panel, or you can use the special %code%
command. Add <script>%code%</script>
to your HTML and the contents of the JavaScript panel will be inserted at that point.
How do I re-run or re-render the code
Just click the ‘Preview’ button, and your entire code will re-run.
Can JS Bin respond to Ajax requests?
Yes. See the Ajax debugging video (in the top of the navigation) for a demo. Or, it’s as simple as removing the HTML output, saving the code, then requesting the URL via a new snippet. JS Bin will respond to Ajax requests appropriately.
IE6?
I’m afraid not, but the application is open source, so if you think you can get it working - please go ahead: http://github.com/remy/jsbin
My question isn’t answered
Feel free to get in touch and if appropriate I’ll add it to the FAQ.


Microsoft Azure
This example shows how to communicate with Azure IoT Hub using MQTT. User will need to set up a Network Interface connection on the device such as WiFi to Connect to Azure.
Tip
Needed NuGets: GHIElectronics.TinyCLR.Networking.Mqtt, GHIElectronics.TinyCLR.Drivers.Azure.SAS
Add using statement: using System.Security.Cryptography.X509Certificates; using System.Security.Authentication;
var caCert = new X509Certificate("Need Azure certificate");
var iotHubName = "Your.azure-devices.net";
var iotHubPort = 8883;
// device/client information
const string deviceId = "your device id";
var username = string.Format("{0}/{1}", iotHubName, deviceId);
// Data time is important for calculate expire time
SystemTime.SetTime(new DateTime(2021, 2, 23));
var sas = new SharedAccessSignatureBuilder()
{
Key = "your key",
KeyName = "iothubowner",
Target = "Your.azure-devices.net",
TimeToLive = TimeSpan.FromDays(1) // at least 1 day.
};
// define topics
var topicDeviceToServer =
string.Format("devices/{0}/messages/events/", deviceId);
var topicService2Device =
string.Format("devices/{0}/messages/devicebound/#", deviceId);
try
{
var clientSetting = new MqttClientSetting
{
BrokerName = iotHubName,
BrokerPort = iotHubPort,
ClientCertificate = null,
CaCertificate = caCert,
SslProtocol = System.Security.Authentication.SslProtocols.Tls12
};
var client = new Mqtt(clientSetting);
client.PublishReceivedChanged += (p1, p2, p3, p4, p5, p6) => {
Debug.WriteLine("Received message: " + Encoding.UTF8.GetString(p3));
};
var connectSetting = new MqttConnectionSetting
{
ClientId = deviceId,
UserName = username,
Password = sas.ToSignature()
};
var returnCode = client.Connect(connectSetting);
if (returnCode != ConnectReturnCode.ConnectionAccepted)
throw new Exception("Could not connect!");
ushort packetId = 1;
client.Subscribe(new string[] { topicService2Device }, new QoSLevel[]
{ QoSLevel.ExactlyOnce }, packetId++);
client.Subscribe(new string[] { topicDeviceToServer }, new QoSLevel[]
{ QoSLevel.ExactlyOnce }, packetId++);
client.Publish(topicDeviceToServer, Encoding.UTF8.GetBytes
("Your message"), QoSLevel.MostOnce, false, packetId++);
}
catch (Exception e)
{
throw;
}
In the first line of code above, an Azure Certificate is referenced, place the certificate inside project resources and change the code to reflect the name of that certificate, in the example below the name is zura.
var caCert =
new X509Certificate(Resources.GetByte(Resources.BinaryResources.zura));
The example code also requires iotHubName and deviceId, which are available only when a user opens an Azure account. To create the iotHubName and deviceId follow these instructions found on their website.
Developers must retrieve the Connection String for the newly created Device. This key is used inside the code to generate a Shared Access Signature(SAS). This SAS is used inside the program as the password
Azure Device Explorer
To simplify testing, users can send and receive data to the IoT device using Azure IoT Device Explorer. To receive data from the IoT device, add a message to send in this line of the code.
client.Publish(topicDeviceToServer, Encoding.UTF8.GetBytes
("The message"), QoSLevel.MostOnce, false, packetId++);
Select the 'Data' Tab in the Azure IoT Explorer program and click the 'Monitor' button. Deploy the program or reset the device, it will automatically send "The message" to the Azure IoT Explorer.
To send a message from Azure to the IoT device, select the 'Messages To Device' tab in Azure IoT Explorer. Type your message in the Message Box and hit 'Send'.
Using the earlier code will send the incoming message the 'Output' window of Visual Studio.


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Number() converts to a Number, String() converts to a String, Boolean() converts to a Boolean.
In JavaScript there are 5 different data types that can contain values:
There are 3 types of objects:
And 2 data types that cannot contain values:
The typeof operator returns the type of a variable, object, function or expression:
Note: You cannot use typeof to determine if a JavaScript object is an array (or a date).
The typeof operator is not a variable. It is an operator. Operators ( + - * / ) do not have any data type. But, the typeof operator always returns a string (containing the type of the operand).


DevOps User Guide
Introduction
KubeSphere is an enterprise-grade multi-tenant container platform built on Kubernetes. It provides an easy-to-use UI for users to manage application workloads and computing resources with a few clicks, which greatly reduces the learning curve and the complexity of daily work such as development, testing, operation and maintenance. KubeSphere aims to alleviate the pain points of Kubernetes including storage, network, security and ease of use, etc.
KubeSphere supports installing on cloud-hosted and on-premises Kubernetes cluster, e.g. native K8s, GKE, EKS, RKE, etc. It also supports installing on Linux host including virtual machine and bare metal with provisioning fresh Kubernetes cluster. Both of the two methods are easy and friendly to install KubeSphere. Meanwhile, KubeSphere offers not only online installer, but air-gapped installer for such environment with no access to the internet.
KubeSphere is open source project on GitHub. There are thousands of users are using KunbeSphere, and many of them are running KubeSphere for their production workloads.
In summary, there are several installation options you can choose. Please note not all options are mutually exclusive. For instance, you can deploy KubeSphere with minimal packages on existing K8s cluster on multiple nodes in air-gapped environment. Here is the decision tree shown in the following graph you may reference for your own situation.
- All-in-One: Intall KubeSphere on a singe node. It is only for users to quickly get familar with KubeSphere.
- Multi-Node: Install KubeSphere on multiple nodes. It is for testing or development.
- Install KubeSphere on Air Gapped Linux: All images of KubeSphere have been encapsulated into a package, it is convenient for air gapped installation on Linux machines.
- High Availability Multi-Node: Install high availability KubeSphere on multiple nodes which is used for production environment.
- KubeSphere on Existing K8s: Deploy KubeSphere on your Kubernetes cluster including cloud-hosted services such as GKE, EKS, etc.
- KubeSphere on Air-Gapped K8s: Install KubeSphere on a disconnected Kubernetes cluster.
- Minimal Packages: Only install minimal required system components of KubeSphere. The minimum of resource requirement is down to 1 core and 2G memory.
- Full Packages: Install all available system components of KubeSphere including DevOps, service mesh, application store, etc.
Before Installation
- As the installation will pull images and update operating system from the internet, your environment must have the internet access. If not, then you need to use the air-gapped installer instead.
- For all-in-one installation, the only one node is both the master and the worker.
- For multi-node installation, you are asked to specify the node roles in the configuration file before installation.
- Your linux host must have OpenSSH Server installed.
- Please check the ports requirements before installation.
Quick Install For Development and Testing
KubeSphere has decoupled some components since v2.1.0. The installer only installs required components by default which brings the benefits of fast installation and minimal resource consumption. If you want to install any optional component, please check the following section Pluggable Components Overview for details.
The quick install of KubeSphere is only for development or testing since it uses local volume for storage by default. If you want a production install please refer to the section High Availability Installation for Production Environment.
1. Install KubeSphere on Linux
- All-in-One: It means a single-node hassle-free configuration installation with one-click.
- Multi-Node: It allows you to install KubeSphere on multiple instances using local volume, which means it is not required to install storage server such as Ceph, GlusterFS.
Note：With regard to air-gapped installation please refer to Install KubeSphere on Air Gapped Linux Machines.
2. Install KubeSphere on Existing Kubernetes
You can install KubeSphere on your existing Kubernetes cluster. Please refer Install KubeSphere on Kubernetes for instructions.
High Availability Installation for Production Environment
1. Install HA KubeSphere on Linux
KubeSphere installer supports installing a highly available cluster for production with the prerequisites being a load balancer and persistent storage service set up in advance.
- Persistent Service Configuration: By default, KubeSphere Installer uses Local Volume based on openEBS to provide storage service with dynamic provisioning in Kubernetes cluster. It is convenient for quick install of testing environment. In production environment, it must have a storage server set up. Please refer Persistent Service Configuration for details.
- Load Balancer Configuration for HA install: Before you get started with multi-node installation in production environment, you need to configure a load balancer. Either cloud LB or
HAproxy + keepalived
works for the installation.
2. Install HA KubeSphere on Existing Kubernetes
Before you install KubeSphere on existing Kubernetes, please check the prerequisites of the installation on Linux described above, and verify the existing Kubernetes to see if it satisfies these prerequisites or not, i.e., a load balancer and persistent storage service.
If your Kubernetes is ready, please refer Install KubeSphere on Kubernetes for instructions.
You can install KubeSphere on cloud Kubernetes service such as Installing KubeSphere on GKE cluster
Pluggable Components Overview
KubeSphere has decoupled some core feature components since v2.1.0. These components are designed to be pluggable, which means you can enable any of them before or after installation. The installer by default does not install the pluggable components. Please check the guide Enable Pluggable Components Installation for your requirement.
Storage Configuration Instruction
The following links explain how to configure different types of persistent storage services. Please refer to Storage Configuration Instruction for detailed instructions regarding how to configure the storage class in KubeSphere.
Add New Nodes
KubeSphere Installer allows you to scale the number of nodes, see Add New Nodes.
Uninstall
Uninstall will remove KubeSphere from the machines. This operation is irreversible and dangerous. Please check Uninstall.


| UserName | Name | Surname | Role | Gender | Password |
|---|
| Id | Type | Number rooms | Number guests | Price per night | Status | Location | Date for log in | Date for log off | Amenities |
|---|
| Id | Type | Number rooms | Number guests | Price per night | Status | Location | Date for log in | Date for log off | Amenities |
|---|


FIREFLY Spectra¶
This class is dedicated to handling the spectra to feedin the FIREFLY code, see Wilkinson et al. 2015.
https://arxiv.org/abs/1503.01124
General purpose:
The class GalaxySpectrumFIREFLY is dedicated to handling spectra to be fed to FIREFLY for fitting its stellar population
Imports:
import numpy as np
import astropy.io.fits as pyfits
import glob
from firefly_dust import get_dust_radec
-
class
GalaxySpectrumFIREFLY.
GalaxySpectrumFIREFLY
(path_to_spectrum, milky_way_reddening=True, hpf_mode='on')[source]¶ Loads the environnement to transform observed spectra into the input for FIREFLY.
Currently SDSS spectra, speclite format is handled as well as stacks from the VVDS and the DEEP2 galaxy surveys.
Parameters: - path_to_spectrum – path to the spectrum
- milky_way_reddening – True if you want to correct from the Milky way redenning using the Schlegel 98 dust maps.
- hpf_mode – models the dust attenuation observed in the spectrum using high pass filter.
-
openObservedSDSSSpectrum
()[source]¶ It reads an SDSS spectrum and provides the input for the firefly fitting routine. :param path_to_spectrum: :param sdss_dir: directory with the observed spectra :param milky_way_reddening: True or False if you want to correct the redenning of the Milky way. :param hpf_mode: ‘on’ high pass filters the data to correct from dust in the galaxy.
In this aims, it stores the following data in the object : * hdu list from the spec lite * SED data : wavelength (in angstrom), flux, error on the flux (in 10^{-17} erg/cm2/s/Angstrom, like the SDSS spectra) * Metadata :
- ra : in degrees J2000
- dec : in degrees J2000
- redshift : best fit
- vdisp : velocity dispersion in km/s
- r_instrument : resolution of the instrument at each wavelength observed
- trust_flag : 1 or True if trusted
- bad_flags : ones as long as the wavelength array, filters the pixels with bad data
- objid : object id optional : set to 0
-
openObservedStack
()[source]¶ It reads an Stack spectrum from the LF analysis and provides the input for the firefly fitting routine. :param path_to_spectrum: :param sdss_dir: directory with the observed spectra :param milky_way_reddening: True or False if you want to correct the redenning of the Milky way. :param hpf_mode: ‘on’ high pass filters the data to correct from dust in the galaxy.
In this aims, it stores the following data in the object : * hdu list from the spec lite * SED data : wavelength (in angstrom), flux, error on the flux (in 10^{-17} erg/cm2/s/Angstrom, like the SDSS spectra) * Metadata :
- ra : in degrees J2000
- dec : in degrees J2000
- redshift : best fit
- vdisp : velocity dispersion in km/s
- r_instrument : resolution of the instrument at each wavelength observed
- trust_flag : 1 or True if trusted
- bad_flags : ones as long as the wavelength array, filters the pixels with bad data
- objid : object id optional : set to 0
-
openObservedStackTutorial
()[source]¶ It reads an Stack spectrum from the LF analysis and provides the input for the firefly fitting routine. :param path_to_spectrum: :param sdss_dir: directory with the observed spectra :param milky_way_reddening: True or False if you want to correct the redenning of the Milky way. :param hpf_mode: ‘on’ high pass filters the data to correct from dust in the galaxy.
In this aims, it stores the following data in the object : * hdu list from the spec lite * SED data : wavelength (in angstrom), flux, error on the flux (in 10^{-17} erg/cm2/s/Angstrom, like the SDSS spectra) * Metadata :
- ra : in degrees J2000
- dec : in degrees J2000
- redshift : best fit
- vdisp : velocity dispersion in km/s
- r_instrument : resolution of the instrument at each wavelength observed
- trust_flag : 1 or True if trusted
- bad_flags : ones as long as the wavelength array, filters the pixels with bad data
- objid : object id optional : set to 0


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This is an example of a missing image with a custom loader class defined on the data attribute 'data-loader'. Should just show loader graphic.


{% load url from future %}
Thank you for choosing YGOrganizer!
In order to activate your account, please access the following link within the next {{ expiration_days }} days:
http://{{site.domain}}{% url 'registration_activate' activation_key %}
Have a nice day,
YGOrganizer


ColorFrontier
Hello, Guest
Hello, [[${LoggedUser.username}]]
Register
Login
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[[${Project.name}]]
[[${Project.short_description}]]
Published by
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ODD SEMESTER |
|||
S.NO |
SUBJECT NAME |
NOTES |
QUESTION BANK |
|---|---|---|---|
| 1 | Object Oriented Analysis And Design | download | download |
| 2 | Graphics and Multimedia | download | download | 3 | Web Programming | download | download | 4 | Computer Networks | download | download | EVEN SEMESTER |
| 1 | Distrubuted Systems | download | |
| 2 | Compiler Design | download | |
| 3 | Software Architecture | download | |
| 4 | Mobile Communications | download |
ODD SEMESTER |
|||
S.NO |
SUBJECT NAME |
NOTES |
QUESTION BANK |
|---|---|---|---|
| 1 | Cryptography and Network Security | download | download |
| 2 | Grid and Cloud Computing | download | download | 3 | Software Testing | download | download | 4 | Information Management | download | download | 5 | Data Warehousing and DataMining | download | download | EVEN SEMESTER |
| 1 | Service Oriented Analysis | download | |
| 2 | Professional Ethics in Enginnering | download | |
| 3 | Cyber Forsenics | download | |
| 4 | Software Project Management | download |


Salvia is to be taken seriously, I can't stress that enough. It is NOT a social drug. Taking salvia in a social setting will either be pointless or serve to make the trip more overwhelming.
You should have sitter, not so much for the safety of your physical body, but even more so as a comforting reminder when you return from salvia reality.
I'm an experience salvia user, but every time i've used it in the past, i've taken a few strong hits and then 'passed out' so to speak. This particular time I decided to use a more scientific approach. I took several small hits and recorded my findings as I traveled further and further into salvia reality. I used 10x salvia for this particular experience.
I should mention first that this entire experience came with a very significant uncomfortable feeling, due to my apprehension to losing touch with reality, and the overwhelming nature of salvia itself.
1st small hit: The first thing I noticed was that my heartbeat became increasingly apparent, I could hear it echoing in my head, and feel it throughout my body. I began to lose touch with my surroundings. When I closed my eyes, I got some repetitive closed eyed visuals, very colorful patterns repeating over and over endlessly.
2nd small hit: I began to feel my self being pulled downward, as if my body weighed several hundred times more than usual. When I closed my eyes I began to forget about the reality of the room. In essence I forgot that my eyes where closed and began to accept what I saw as reality.
3rd small hit: My body becomes unbearably heavy, I fall over and it feels like i'm falling in slow motion through a sea of people, I feel very much like I am part of a vast ocean of other humans. I am experiencing significant ego loss.
4th small hit: When my eyes are open I can see the objects around me transforming and contorting. When I close my eyes I am entirely enveloped in a distorted colorful reality. I feel myself being pulled through a machine that appears to move immobile human bodies from one place to another. Everything is very colorful, like a Nintendo game, Super Mario, Zelda, etc I began to feel as if this was reality and that I was part of some vast network of humans that had been trapped by machines for some unknown purpose, I find this very unsettling.
Final rather large hit: I don't remember what happened immediately after that. The next thing I remember I 'woke up' and rose up out of the human ocean I mentioned earlier. All of the people where a distinct Technicolor, red, blue, yellow.
At first I firmly believed that this was just an effect of the salvia, but the convincing voice notified me that the salvia was all part of the dream, and that I had to go back to sleep forever. He exerted a force on me that forced me back down into the sea of people. I could feel my soul swimming at the speed of electricity, like lighting through the sea until my mind entered into another body and I 'woke up' again. The voice became increasingly agitated at my disobedience, and once again forced me back down.
This pattern repeated for what seemed like millions of years. Eventually I was able to rise up in my room. I saw my friends sitting on the bed, but they where made up of colorful micropeople like myself. I envied them so much, I wanted to be part of the real world again, but I knew that was impossible. But I kept fighting anyways, I felt my soul continue to flow through the sea upwards further and further. I had the feeling that if I was able to reach the top I could become the greater being again.
Finally I began to slip back into reality. I began to be able to will the greater being to do what I wanted, but I wasn't out yet. I grabbed my best friend Samantha and I asked her to 'Help me,' in what she described as the most fearful voice she had ever heard. I was crying and screaming apparently. Eventually I regained my touch with reality and realized what had happened, I was drenched in sweat and I was SO happy to realize I was real, and that it was all an illusion.
I spent the next hour trying hopelessly to explain what had happened, but all I could say was that I had died for a million years.
I doubt I will try salvia again, it took me to a place I don't ever want to return to. Salvia reality is hopeless and overwhelming, had I been in a weaker mental or physical health, I don't doubt that I could have went into cardiac arrest or slipped into schizophrenia or a similar mental illness.
Salvia is a very serious drug. Just because it occurs naturally as a plant, I don't think that it isn't dangerous. Just be careful and take great care to make sure that you are in a comfortable situation and in a serene mindset.
Good luck and happy tripping everyone.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


Speed Up Exploratory Data Analysis (EDA)
The goal of correlationfunnel
is to speed up Exploratory Data Analysis (EDA). Here’s how to use it.
You can install the latest stable (CRAN) version of correlationfunnel
with:
install.packages("correlationfunnel")
You can install the development version of correlationfunnel
from GitHub with:
devtools::install_github("business-science/correlationfunnel")
Problem: Exploratory data analysis (EDA) involves looking at feature-target relationships independently. This process is very time consuming even for small data sets. Rather than search for relationships, what if we could let the relationships come to us?
Solution: Enter correlationfunnel
. The package provides a succinct workflow and interactive visualization tools for understanding which features have relationships to target (response).
Main Benefits:
Speeds Up Exploratory Data Analysis
Improves Feature Selection
Gets You To Business Insights Faster
The following example showcases the power of fast exploratory correlation analysis. The goal of the analysis is to determine which features relate to the bank’s marketing campaign goal of having customers opt into a TERM DEPOSIT (financial product).
We will see that using 3 functions, we can quickly:
Transform the data into a binary format with binarize()
Perform correlation analysis using correlate()
Visualize the highest correlation features using plot_correlation_funnel()
Result: Rather than spend hours looking at individual plots of capaign features and comparing them to which customers opted in to the TERM DEPOSIT product, in seconds we can discover which groups of customers have enrolled, drastically speeding up EDA.
First, load the libraries.
Next, collect data to analyze. We’ll use Marketing Campaign Data for a Bank that was popularized by the UCI Machine Learning Repository. We can load the data with data("marketing_campaign_tbl")
.
# Use ?marketing_campagin_tbl to get a description of the marketing campaign features data("marketing_campaign_tbl") marketing_campaign_tbl %>% glimpse() #> Observations: 45,211 #> Variables: 18 #> $ ID <chr> "2836", "2837", "2838", "2839", "2840", "2841", "28… #> $ AGE <dbl> 58, 44, 33, 47, 33, 35, 28, 42, 58, 43, 41, 29, 53,… #> $ JOB <chr> "management", "technician", "entrepreneur", "blue-c… #> $ MARITAL <chr> "married", "single", "married", "married", "single"… #> $ EDUCATION <chr> "tertiary", "secondary", "secondary", "unknown", "u… #> $ DEFAULT <chr> "no", "no", "no", "no", "no", "no", "no", "yes", "n… #> $ BALANCE <dbl> 2143, 29, 2, 1506, 1, 231, 447, 2, 121, 593, 270, 3… #> $ HOUSING <chr> "yes", "yes", "yes", "yes", "no", "yes", "yes", "ye… #> $ LOAN <chr> "no", "no", "yes", "no", "no", "no", "yes", "no", "… #> $ CONTACT <chr> "unknown", "unknown", "unknown", "unknown", "unknow… #> $ DAY <dbl> 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, … #> $ MONTH <chr> "may", "may", "may", "may", "may", "may", "may", "m… #> $ DURATION <dbl> 261, 151, 76, 92, 198, 139, 217, 380, 50, 55, 222, … #> $ CAMPAIGN <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, … #> $ PDAYS <dbl> -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1,… #> $ PREVIOUS <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, … #> $ POUTCOME <chr> "unknown", "unknown", "unknown", "unknown", "unknow… #> $ TERM_DEPOSIT <chr> "no", "no", "no", "no", "no", "no", "no", "no", "no…
Modeling and Machine Learning problems often involve a response (Enrolled in TERM_DEPOSIT
, yes/no) and many predictors (AGE, JOB, MARITAL, etc). Our job is to determine which predictors are related to the response. We can do this through Binary Correlation Analysis.
Binary Correlation Analysis is the process of converting continuous (numeric) and categorical (character/factor) data to binary features. We can then perform a correlation analysis to see if there is predictive value between the features and the response (target).
The first step is converting the continuous and categorical data into binary (0/1) format. We de-select any non-predictive features. The binarize()
function then converts the features into binary features.
Numeric Features: Are binned into ranges or if few unique levels are binned by their value, and then converted to binary features via one-hot encoding
Categorical Features: Are binned by one-hot encoding
The result is a data frame that has only binary data with columns representing the bins that the observations fall into. Note that the output is shown in the glimpse()
format. THere are now 80 columns that are binary (0/1).
marketing_campaign_binarized_tbl <- marketing_campaign_tbl %>% select(-ID) %>% binarize(n_bins = 4, thresh_infreq = 0.01) marketing_campaign_binarized_tbl %>% glimpse() #> Observations: 45,211 #> Variables: 74 #> $ `AGE__-Inf_33` <dbl> 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0… #> $ AGE__33_39 <dbl> 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0… #> $ AGE__39_48 <dbl> 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 0… #> $ AGE__48_Inf <dbl> 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1… #> $ JOB__admin. <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0… #> $ `JOB__blue-collar` <dbl> 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0… #> $ JOB__entrepreneur <dbl> 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0… #> $ JOB__housemaid <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0… #> $ JOB__management <dbl> 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0… #> $ JOB__retired <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0… #> $ `JOB__self-employed` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0… #> $ JOB__services <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1… #> $ JOB__student <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0… #> $ JOB__technician <dbl> 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0… #> $ JOB__unemployed <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0… #> $ `JOB__-OTHER` <dbl> 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0… #> $ MARITAL__divorced <dbl> 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0… #> $ MARITAL__married <dbl> 1, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1… #> $ MARITAL__single <dbl> 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0… #> $ EDUCATION__primary <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0… #> $ EDUCATION__secondary <dbl> 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 1… #> $ EDUCATION__tertiary <dbl> 1, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0… #> $ EDUCATION__unknown <dbl> 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0… #> $ DEFAULT__no <dbl> 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1… #> $ DEFAULT__yes <dbl> 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0… #> $ `BALANCE__-Inf_72` <dbl> 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0… #> $ BALANCE__72_448 <dbl> 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 0, 1… #> $ BALANCE__448_1428 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0… #> $ BALANCE__1428_Inf <dbl> 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0… #> $ HOUSING__no <dbl> 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0… #> $ HOUSING__yes <dbl> 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1… #> $ LOAN__no <dbl> 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1… #> $ LOAN__yes <dbl> 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0… #> $ CONTACT__cellular <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0… #> $ CONTACT__telephone <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0… #> $ CONTACT__unknown <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1… #> $ `DAY__-Inf_8` <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1… #> $ DAY__8_16 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0… #> $ DAY__16_21 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0… #> $ DAY__21_Inf <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0… #> $ MONTH__apr <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0… #> $ MONTH__aug <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0… #> $ MONTH__feb <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0… #> $ MONTH__jan <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0… #> $ MONTH__jul <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0… #> $ MONTH__jun <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0… #> $ MONTH__mar <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0… #> $ MONTH__may <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1… #> $ MONTH__nov <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0… #> $ MONTH__oct <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0… #> $ MONTH__sep <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0… #> $ `MONTH__-OTHER` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0… #> $ `DURATION__-Inf_103` <dbl> 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0… #> $ DURATION__103_180 <dbl> 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1… #> $ DURATION__180_319 <dbl> 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0… #> $ DURATION__319_Inf <dbl> 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0… #> $ `CAMPAIGN__-Inf_2` <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1… #> $ CAMPAIGN__2_3 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0… #> $ CAMPAIGN__3_Inf <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0… #> $ `PDAYS__-1` <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1… #> $ `PDAYS__-OTHER` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0… #> $ PREVIOUS__0 <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1… #> $ PREVIOUS__1 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0… #> $ PREVIOUS__2 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0… #> $ PREVIOUS__3 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0… #> $ PREVIOUS__4 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0… #> $ PREVIOUS__5 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0… #> $ `PREVIOUS__-OTHER` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0… #> $ POUTCOME__failure <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0… #> $ POUTCOME__other <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0… #> $ POUTCOME__success <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0… #> $ POUTCOME__unknown <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1… #> $ TERM_DEPOSIT__no <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1… #> $ TERM_DEPOSIT__yes <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
The second step is to perform a correlation analysis between the response (target = TERM_DEPOSIT_yes) and the rest of the features. This returns a specially formatted tibble with the feature, the bin, and the bin’s correlation to the target. The format is exactly what we need for the next step - Producing the Correlation Funnel
marketing_campaign_correlated_tbl <- marketing_campaign_binarized_tbl %>% correlate(target = TERM_DEPOSIT__yes) marketing_campaign_correlated_tbl #> # A tibble: 74 x 3 #> feature bin correlation #> <fct> <chr> <dbl> #> 1 TERM_DEPOSIT no -1.000 #> 2 TERM_DEPOSIT yes 1.000 #> 3 DURATION 319_Inf 0.318 #> 4 POUTCOME success 0.307 #> 5 DURATION -Inf_103 -0.191 #> 6 PDAYS -OTHER 0.167 #> 7 PDAYS -1 -0.167 #> 8 PREVIOUS 0 -0.167 #> 9 POUTCOME unknown -0.167 #> 10 CONTACT unknown -0.151 #> # … with 64 more rows
A Correlation Funnel is an tornado plot that lists the highest correlation features (based on absolute magnitude) at the top of the and the lowest correlation features at the bottom. The resulting visualization looks like a Funnel.
To produce the Correlation Funnel, use plot_correlation_funnel()
. Try setting interactive = TRUE
to get an interactive plot that can be zoomed in on.
marketing_campaign_correlated_tbl %>% plot_correlation_funnel(interactive = FALSE)
The most important features are towards the top. We can investigate these.
marketing_campaign_correlated_tbl %>% filter(feature %in% c("DURATION", "POUTCOME", "PDAYS", "PREVIOUS", "CONTACT", "HOUSING")) %>% plot_correlation_funnel(interactive = FALSE, limits = c(-0.4, 0.4))
We can see that the following prospect groups have a much greater correlation with enrollment in the TERM DEPOSIT product:
When the DURATION, the amount of time a prospect is engaged in marketing campaign material, is 319 seconds or longer.
When POUTCOME, whether or not a prospect has previously enrolled in a product, is “success”.
When CONTACT, the medium used to contact the person, is “cellular”
When HOUSING, whether or not the contact has a HOME LOAN is “no”
The main addition of correlationfunnel
is to quickly expose feature relationships to semi-processed data meaning missing (NA
) values have been treated, date or date-time features have been feature engineered, and data is in a “clean” format (numeric data and categorical data are ready to be correlated to a Yes/No response).
Here are several great EDA packages that can help you understand data issues (cleanliness) and get data preprared for Correlation Analysis!
Data Explorer - Automates Exploration and Data Treatment. Amazing for investigating features quickly and efficiently including by data type, missing data, feature engineering, and identifying relationships.
naniar - For understanding missing data.
UpSetR - For generating upset plots
GGally - The ggpairs()
function is one of my all-time favorites for visualizing many features quickly.
Business Science teaches students how to apply data science for business. The entire curriculum is crafted around business consulting with data science. Correlation Analysis is one of the many techniques that we teach in our curriculum. Learn from our data science application experience with real-world business projects.
Students learn by solving real world projects using our repeatable project-management framework along with cutting-edge tools like the Correlation Analysis, Automated Machine Learning, and Feature Explanation as part of our ROI-Driven Data Science Curriculum.
Learn Data Science Foundations (DS4B 101-R): Learn the entire tidyverse
(dplyr
, ggplot2
, rmarkdown
, & more) and parsnip
- Solve 2 Projects - Customer Segmentation and Price Optimization projects
Learn Advanced Machine Learning & Business Consulting (DS4B 201-R): Churn Project solved with Correlation Analysis, H2O
AutoML, LIME
Feature Explanation, and ROI-driven Analysis / Recommendation Systems
Learn Predictive Web Application Development (DS4B 102-R): Build 2 Predictive Shiny
Web Apps - Sales Dashboard with Demand Forecasting & Price Prediction App


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FOR YOUR EYES ONLY A film review by Steve Rhodes Copyright 1998 Steve Rhodes
RATING (0 TO ****): **
In 1981's FOR YOUR EYES ONLY we learn that even James Bond, superspy and playboy par excellence, has his limits when it comes to romantic liaisons. A sexually attractive, young skater and would-be Olympian named Bibi, played with provocative pseudo-innocence by Lynn-Holly Johnson, puts her moves on James by jumping naked into his bed. He curtly refuses her with, "Put your clothes back on, and I'll buy you an ice-cream." She seems a bit too young, and, besides, her uncle asked him to keep an eye on her.
On the other hand, Bond is perfectly willing to take other risks. When invited in by a lovely woman in what seems certain to be a trap, he's happy to play the odds in return for a potential night of pleasure. Roger Moore, back for his fifth time as Bond, dresses more casually in this outing.
As the show opens, a control boat with a key device that gives directions and firing orders to British subs is sunk. Someone needs to find where it went down and retrieve the secret controls. But where exactly did it sink, and which group is responsible?
As Melina, the daughter of parents murdered earlier, Carole Bouquet plays Bond's aid and one of his many romantic companions. Bibi's "uncle" Kristatos, underplayed by Julian Glover, turns out to be this episode's bad guy. Without a credible villain or a suitably sinister plot, the show drifts more than it excites.
In the de rigueur chase sequence, the movie asks the question: Are two fast motorbikes with on-board machine guns more than a match for Bond as he escapes with just a pair of skis? If you don't know the answer, this has to be your first Bond movie.
In one of the hokier gadgets Q (Desmond Llewelyn) ever came up with, Bond and Q employee an Identigram, which allows one to describe a person in English. After a vague description about facial features, the exact image of the person in question begins to emerge in its monitor from a sketch so crude that it looks like kindergarten art.
Continuing in its tradition of good visuals, this time our Bond travelogue takes us to the sun drenched Greek islands with its bikini-clad women and twisting narrow streets. And after that we're off to the ski slopes of the majestic Italian Alps, all filmed beautifully by Alan Hume.
With Kristatos's men in hot pursuit, Bond and Melina eventually retrieve the sunken control panel. One of my favorite illogical aspects of this Bond movie, and every one of them has plenty, is that with two flashlights 600 feet underwater Bond and Melina brightly illuminate everything in front and back of them. And sure to generate a few chuckles, the attacker's diving suit is an enormous white one that looks like the robot in the old television series, "Lost in Space."
So what does the device that cost so many lives look like? A simple keyboard console that presumably contains some secret chips. How one misses GOLDFINGER and the early Bond films in which the gadgets had more style and imagination.
In his first theatrical film Charles Dance from MICHAEL COLLINS appears briefly to say one inconsequential line before he disappears. So does Specter's #1, who materializes without showing his face before Bond kills him again. Perhaps this time he is completely dead, but you never know; he might be resurrected yet again. Such is the magic of motion pictures.
FOR YOUR EYES ONLY runs 2:07. It is rated PG for violence and sexual innuendo and would be fine for kids around 9 and up.
My son Jeffrey, almost 9, thought the movie was just okay. He liked the ski chase and the underwater parts, but didn't like the way they showed a little blood in the movie.
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


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| How often you'll make payments | {{ data['radio-payment-frequency'] }} | Change Name | |
| When you want to pay | {{ now | date("add", 45, "day") | date( "D MMMM YYYY" ) }} | Change Name | |
| Why you want the change | {{data['vary-plan-reason']}} | Change Name |
Your financial details |
||
|---|---|---|
| Bank and savings accounts | Change Name | |
| 1. Type of account | Savings | |
| Balance | £100 | |
| Joint account | Yes | |
| 2. Type of account | Bank | |
| Balance | £350 | |
| Joint account | Yes | |
| Are you disabled? | Yes | Change Name |
| Are you severely disabled? | Yes | Change Name |
| Where do you live? | Home you own yourself (including if you have a mortgage) | Change Name |
| Do you live with a partner? | Yes | Change Name |
| Is your partner aged 18 or over? | Yes | Change Name |
| Does your partner receive a pension? | No | Change Name |
| Is your partner disabled? | Yes | Change Name |
| Is your partner severely disabled? | No | Change Name |
| Children | Change Name | |
| Do any children live with you? | Yes | |
| 16 to 19 | 1 | |
| Number of children aged 16 to 19 full-time education or training | 1 | Change Name |
| Are any of the children that live with you disabled? | No | |
| Financial support | Change Name | |
| Do you support anyone else financially? | Yes | |
| Number of people | 1 | |
| Give details | Reason goes here | |
| Do you claim Carer’s Allowance or Carer’s Credit? | Yes | Change Name |
| Employment details | Change Name | |
| Do you have a job? | Yes | |
| Type of job | Employed and self-employed | |
| Who employs you? | Change Name | |
| Employer name | Smith Inc | |
| Job title | HR manager | |
| Self-employment details | Change Name | |
| Job title | Builder | |
| Annual turnover | £14,500 | |
| Are you behind on tax payments? | Yes | |
| Amount you owe? | £300 | |
| Reason | Reason goes here | |
| Are you paying money as a result of any court orders? | Yes | Change Name |
| Claim number | 123MC432 | |
| Amount you owe | £1300 | |
| Monthly instalment amount | £130 | |
| Debts you're behind on | Change Name | |
| Debt type | Mortgage | |
| Arrears repayment | £130 per month | |
| Do you have loans or credit card debts? | Yes | Change Name |
| 1. Debt | Paying back loan to parent | |
| Total owed | £1200 | |
| Monthly payments | £100 | |
| 2. Debt | Credit card | |
| Total owed | £1220 | |
| Monthly payments | £130 | |
| Regular expenses | Change Name | |
| Mortgage | £743 per month | |
| Council Tax | £120 per month | |
| Gas | £83 per week | |
| Regular income | Change Name | |
| Take home pay | £800 per month | |
| Child Benefit | £124 per week | |
| Other income | £40 every 2 weeks |
{% if data['varyselected'] == 'true' or data['justvaryonly'] == 'true' %} {% if data['varytoimmediately'] == 'true' %} {% else %}
Declaration
Sign, submit and continue to payment (£50)
{% endif %} {% elif data['cancelccj'] == 'true' %} {% else %} {% endif %}


This article is focused on English-language literature rather than the literature of England, so that it includes writers from Scotland, Wales, and the whole of Ireland, as well as literature in English from countries of the former British Empire, including the United States. However, until the early 19th century, it only deals with the literature of the United Kingdom and Ireland. It does not include literature written in the other languages of Britain. The English language has developed over the course of more than 1,400 years.[1] The earliest forms of English, a set of Anglo-Frisian dialects brought to Great Britain by Anglo-Saxon settlers in the fifth century, are called Old English. Middle English began in the late 11th century with the Norman conquest of England.[2] Early Modern English began in the late 15th century with the introduction of the printing press to London and the King James Bible as well as the Great Vowel Shift.[3] Through the influence of the British Empire, the English language has spread around the world since the 17th century.


|
Extensible Audio Library
This library provides a unified interface for handling audio.
|
Defines how audio sources should be handled. More...
#include <xal.h>
Public Member Functions | |
| AudioSystemType (chstr name) | |
| AudioSystemType (chstr name, unsigned int value) | |
| AudioSystemType | next () const |
| AudioSystemType | previous () const |
| bool | operator< (const AudioSystemType &other) const |
| bool | operator> (const AudioSystemType &other) const |
| bool | operator<= (const AudioSystemType &other) const |
| bool | operator>= (const AudioSystemType &other) const |
| bool | operator== (const AudioSystemType &other) const |
| bool | operator!= (const AudioSystemType &other) const |
Static Public Member Functions | |
| static int | getCount () |
| static hltypes::Array< AudioSystemType > | getValues () |
| static hstr | getEnumName () |
| static hltypes::Map< unsigned int, hstr > | getAsMap () |
| static AudioSystemType | fromInt (int value) |
| static AudioSystemType | fromUint (unsigned int value) |
| static AudioSystemType | fromName (chstr name) |
| static bool | hasValue (chstr name) |
| static bool | hasValueFor (int value) |
| static bool | hasValueFor (unsigned int value) |
Static Public Attributes | |
| static const AudioSystemType | Default |
| static const AudioSystemType | Disabled |
| No audio. | |
| static const AudioSystemType | DirectSound |
| Use DirectSound. | |
| static const AudioSystemType | OpenAL |
| Use OpenAL. | |
| static const AudioSystemType | OpenSLES |
| Use OpenSLES. | |
| static const AudioSystemType | SDL |
| Use SDL audio. | |
| static const AudioSystemType | XAudio2 |
| Use XAudio2. | |
Protected Member Functions | |
| AudioSystemType (unsigned int value) | |
| hltypes::Map< unsigned int, hstr > & | _getInstances () const |
Defines how audio sources should be handled.
|
static |


Our Company
We are part of you
DCPL is dedicated to supplying our customers only the highest quality materials, using the most current technology, at a fair market price. Our support, service, and technical assistance are unmatched in the paint and coatings manufacturing industry – far surpassing the industry standards. As your partner in business, we will never be satisfied in our pursuit to improve our value, continually striving to provide you the highest value in paint and coatings achievable.
Here’s what you get when you partner with DCPL:
A highly skilled staff of technical experts with more than 20 years experience in the coating industry
Centrally located manufacturing facility able to provide products and services across the entire INDIA
Technicians who specialize in EPOXY, PU & UV and solvent-reducible air-dry and bake coatings
Generous stock-ahead policy that ensures prompt shipment to any location
A family owned and operated company, not an impersonal corporate conglomerate.
Family-Owned Means Personalized Service
As a family owned company, Deco coat Pvt Ltd. thrives on establishing strong personal relationships with our customers. When you call DCPL , you will hear a friendly voice on the other end of the phone, not some robotic operating system or answering service. We take the time to learn your product requirements, stock those products in advance of your needs, and typically ship our stock products the same day or next day to keep your operation running with no delays. Our staff is always available to address your problems and answer your questions.
If you want friendly, personal service and high-quality products at reasonable prices, then you want to partner with DCPL.


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Grab a seat, make yourself at home, nice to meet you. jorOnline is a website that uses websockets to let you talk to people from anywhere at any time.
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