|
JavaTM 2 Platform Standard Ed. 5.0 |
|||||||||
| PREV PACKAGE NEXT PACKAGE | FRAMES NO FRAMES |
See:
Description
| Interface Summary | |
|---|---|
| IIOMetadataController | An interface to be implemented by objects that can determine the
settings of an IIOMetadata object, either by putting
up a GUI to obtain values from a user, or by other means. |
| IIOMetadataFormat | An object describing the structure of metadata documents returned
from IIOMetadata.getAsTree and passed to
IIOMetadata.setFromTree and mergeTree . |
| Class Summary | |
|---|---|
| IIOMetadata | An abstract class to be extended by objects that represent metadata (non-image data) associated with images and streams. |
| IIOMetadataFormatImpl | A concrete class providing a reusable implementation of the
IIOMetadataFormat interface. |
| IIOMetadataNode | A class representing a node in a meta-data tree, which implements
the
org.w3c.dom.Element interface and additionally allows
for the storage of non-textual objects via the
getUserObject and setUserObject methods. |
| Exception Summary | |
|---|---|
| IIOInvalidTreeException | An IIOInvalidTreeException is thrown when an attempt
by an IIOMetadata object to parse a tree of
IIOMetadataNode s fails. |
A package of the Java Image I/O API dealing with reading and writing metadata.
When reading an image, its per-stream and per-image metadata is made
available as an IIOMetadata
object. The internals of
this object are specific to the plug-in that created it. Its contents
may be accessed in the form of an XML Document
, which is
implemented as a tree of IIOMetadataNode
objects.
When writing an image, its metadata may be set by defining or
modifying an IIOMetadata
object. Such an object may be
obtained from an ImageWriter
or
ImageTranscoder
(from the
javax.imageio
package). Once such an object has
been obtained, its contents may be set of modified via a
Document
consisting of IIOMetadataNode
s.
The document format may optionally be described using an
IIOMetadataFormat
object.
The format of the metadata contained in the XML Document
is identified by a string which appears as the root node of the tree
of IIOMetadataNode
objects. This string contains a version
number, e.g. "javax_imageio_jpeg_image_1.0". Readers and writers may
support multiple versions of the same basic format and the Image I/O
API has methods that allow specifying which version to use by passing
the string to the method/constructor used to obtain an IIOMetadata
object. In some cases, a more recent version may not be strictly
compatible with a program written expecting an older version (for
an example, see the Native Metadata Format section of the JPEG Metadata
Usage Notes below).
Plug-ins may choose to support a standard (plug-in neutral) format. This format does not provide lossless encoding of metadata, but allows a portion of the metadata to be accessed in a generic manner.
Each of the standard plug-ins supports a so-called "native" metadata format, which encodes its metadata losslessly:
|
JavaTM 2 Platform Standard Ed. 5.0 |
|||||||||
| PREV PACKAGE NEXT PACKAGE | FRAMES NO FRAMES |
Copyright © 2004, 2010 Oracle and/or its affiliates. All rights reserved. Use is subject to license terms. Also see the documentation redistribution policy.


Listen To Music
What song do you want to hear?
The Quiz
Your score: 1
How old is he?
You can ask me questions about him or I can read about him
Tell me what you want to do
What do you want to ask me about?
Some examples
- How old is he?
- Where was he born
- Is he single?
- How many kids do he have?
Story
What topic do you want to learn more about?
- Early Life
- Career
- Artistry
- Achievements
- Discography
- Discography


Our objective here is clean and simple. We want you to find the most suitable facilities to address your most delicate matters. Tired of searching for a public restroom when you're out and about? Are you even more tired of gross, dirty restrooms? Wish you could find the nearest, cleanest restroom? Now, you can!
Our app will help you find the nearest, reviewed "potty" via our nifty map. Just click on the "See the Map" tab. Do you want to make a potty review? Sure! You can do that, as well, by using the "Comment on a Potty" tab. Or would you like to post a potty you've found-- click on the "Post a Potty".
But, FIRST, you have to become a registered user. Please click the register button below to get started.


© Yashishvin Pothuri
All the images you see above were clicked on my phone I did not have the time to transfer and edit(The dimesnions) these pictures hence the quality is degraded. I will soon be resizing them for a web view and will upload them. Meanwhile checkout my food vlogs.


// These variables are used to compute average rewards for all processes.
episode_rewards = torch.zeros([args.num_processes, 1])
final_rewards = torch.zeros([args.num_processes, 1])
rollouts.to(device)
start = time.time()
obs, reward, done, infos = envs.step(action)
for info in infos:
if "episode" in info.keys():
episode_rewards.append(info["episode"]["r"])
// If done then clean the history of observations.


YouTube Channels
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Setting up Erloci on a new Windows 10 Installation
This manual describes how to build erloci and install the required dependencies, such as rebar3 and the Visual Studio Build Tools. It assumes a fresh Windows 10 installation.
Updating Windows
Mac Users: install Bootcamp Drivers
If Windows runs on a Mac, the Bootcamp Drivers should be installed so hardware such as trackpads and wireless cards work properly. It doesn't matter whether the Bootcamp Assistant was used to install Windows.
Virtual Box: install Guest Additions
If Windows runs in a virtual machine, the Guest Additions should be installed in order to allow features such as drag/dropping between the host and guest system.
Update Windows
Search → "Windows Update" to install updates. This takes a while and might require multiple restarts. Repeat until no updates are left.
Recommended Tools
Install Chrome
Click here to download Chrome (or Firefox, or a different browser of choice). Per default Edge is installed on Windows 10 with Bing as search engine. Google seems to deliver better results when searching for more software online later.
Download and Install Notepad++:
Click here, download "Notepad++ Installer 64-bit x64"
Download and install Git
Click here to download Git. This may take a while. Recommended install options are:
- Use Notepad++ as Git's default editor (for people who don't know how to use vim)
- Use Git from Git Bash only
- Use MinTTY
Windows Options
Show file extensions
Search → "File Explorer Options" → Tab "View" → Uncheck "Hide Extensions for known file types"
Install Prerequisites
Install OCI
- Make Folder "C:\Oracle"
- Open Install\Oracle_<IP_ADDRESS>.0 (or go here and download the respective files)
- Unzip all four .zip files to "C:\Oracle\instantclient_12_2"
Install Visual Studio Build Tools
It is possible to install all of Visual Studio instead of just the build tools. However, in this case the environment variables set later will ahve to be adjusted accordingly beause the paths are different. This can be circumvented by installing both Visual Studio and the Build Tools. The following instructions install just the Build Tools:
- Click here, scroll down to "Tools for Visual Studio 2017" → "Build Tools für Visual Studio 2017" and download the downloader.
- Start the installer, select the following workloads:
- Visual C++ build tools
- .NET desktop build tools
- Universal Windows Platform build tools
- As well as the following components:
- C++/CLI support
Erlang
Go here, download "OTP 21.2 Windows 64-bit Binary File" and install it. Note: don't use newer version of Erlang with Erloci, they're not fully compatible (they may still be downloaded and installed, though).
Environment Variables
Setting environmnt variables
Search → "Edit the system environment variables" click "Environment Variables..." and under "System Variables", insert the following variables:
If any version numbers of installed components differ, then the respective variables must be adjusted accordingly.
| Variable | Value |
|---|---|
| ERL_INTERFACE_DIR | %OTPROOT%\lib\erl_interface-3.10.1 |
| HOME_VS_2017 | C:\Program Files (x86)\Microsoft Visual Studio\2017\BuildTools\VC\Tools\MSVC\14.15.26726\bin\Hostx64\x6 |
| INCLUDE | C:\Program Files (x86)\Microsoft Visual Studio\2017\BuildTools\VC\Tools\MSVC\14.15.26726\include;C:\Program Files (x86)\Windows Kits\NETFXSDK\4.6.1\include\um;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17134.0\ucrt;C:\Program Files (x86)\Windows Kits\10\include\10.0.17134.0\shared;C:\Program Files (x86)\Windows Kits\10\include\10.0.17134.0\um;C:\Program Files (x86)\Windows Kits\10\include\10.0.17134.0\winrt;C:\Program Files (x86)\Microsoft Visual Studio\2017\BuildTools\VC\Tools\MSVC\14.15.26726\include;%ERL_INTERFACE_DIR%\include; |
| INSTANT_CLIENT_LIB_PATH | C:\Oracle\instantclient_12_2 |
| LIB | C:\Program Files (x86)\Microsoft Visual Studio\2017\BuildTools\VC\Tools\MSVC\14.15.26726\include;C:\Program Files (x86)\Windows Kits\NETFXSDK\4.6.1\lib\um\x64;C:\Program Files (x86)\Windows Kits\10\lib\10.0.17134.0\ucrt\x64;C:\Program Files (x86)\Windows Kits\10\lib\10.0.17134.0\um\x64;C:\Program Files (x86)\Microsoft Visual Studio\2017\BuildTools\VC\Tools\MSVC\14.15.26726\lib\x64; |
| OTPROOT | C:\Program Files\erl9.2 |
| PATH | %SystemRoot%\system32;%SystemRoot%;%SystemRoot%\System32\Wbem;%SYSTEMROOT%\System32\WindowsPowerShell\v1.0\;%SYSTEMROOT%\System32\OpenSSH\;C:\Program Files\dotnet\;C:\Program Files\nodejs\;C:\Program Files (x86)\Microsoft Visual Studio\2017\BuildTools\VC\Tools\MSVC\14.15.26726\bin\Hostx64\x64;%HOME_VS_2017%;%ERLANG_OTP%;C:\Program Files\erl9.2\erts-9.2\bin;C:\Program Files\rebar3;C:\Windows\Microsoft.NET\Framework\v4.0.30319 |
| WINSDKBIN | C:\Program Files (x86)\Microsoft SDKs\Windows\v10.0A\bin\NETFX 4.6.1 Tools\x64 |
| VS_LIB_PATH | C:\Program Files (x86)\Microsoft Visual Studio\2017\BuildTools\VC\Tools\MSVC\14.15.26726\lib\x64 |
| WIN_SDK_ROOT | C:\Program Files (x86)\Windows Kits\10\Lib\10.0.17134.0 |
Renaming link.exe
Rename "C:\Program Files\Git\usr\bin\link.exe" "C:\Program Files\Git\usr\bin\link_disabled.exe"
Projects
Make Projects
- Create Folder "projects" wherever it is wished
- Open "projects"
- Right click --> Git Bash Here
rebar3
- git clone https://github.com/K2InformaticsGmbH/rebar3
- cd rebar3
- ./bootstrap
- cd ..
- Move "rebar3" to "C:\Program Files\rebar3" (might not work in git bash, so has to be done manually)
erloci
- git clone https://github.com/K2InformaticsGmbH/erloci
- cd erloci
- rebar3 compile


If you aren't sure of what type of careers are out there this is a good place to start before you take the quiz.
<
The technology industry is comprised of companies that design, manufacture, or distribute electronic devices such as computers, computer-related equipment, computer services and software, scientific instruments, and electronic components and products.
An industrial robot is a robot system used for manufacturing. Industrial robots are automated, programmable and capable of movement on three or more axes.
The Aerospace/Defense Industry serves, as its name represents, two main markets: Aerospace, which largely comprises the production, sale, and service of commercial aircraft. And Defense, which is dependent on the nation's need for military weapons and systems designed to operate on land, sea, and in the air.


|
LiteCore
Couchbase Lite cross-platform core implementation
|
Data Structures | |
| struct | C4Error |
| An error value. More... | |
Functions | |
| C4StringResult | c4error_getMessage (C4Error error) |
| Returns an error message describing a C4Error. More... | |
| C4SliceResult | c4error_getDescription (C4Error error) |
| Returns a description of an error, including the domain and code as well as the message. More... | |
| char * | c4error_getDescriptionC (C4Error error, char *outBuffer, size_t bufferSize) |
| Returns a description of an error, including the domain and code as well as the message. More... | |
| C4Error | c4error_make (C4ErrorDomain domain, int code, C4String message) |
| Creates a C4Error struct with the given domain and code, and associates the message with it. More... | |
| bool | c4error_mayBeTransient (C4Error err) |
| Returns true if this is a network error that may be transient, i.e. More... | |
| bool | c4error_mayBeNetworkDependent (C4Error err) |
| Returns true if this error might go away when the network environment changes, i.e. More... | |
| enum C4ErrorCode : int32_t |
| enum C4ErrorDomain : uint32_t |
| enum C4NetworkErrorCode : int32_t |
Network error codes (higher level than POSIX, lower level than HTTP.)
| C4SliceResult c4error_getDescription | ( | C4Error | error | ) |
Returns a description of an error, including the domain and code as well as the message.
Remember to free the result.
| char* c4error_getDescriptionC | ( | C4Error | error, |
| char * | outBuffer, | ||
| size_t | bufferSize | ||
| ) |
Returns a description of an error, including the domain and code as well as the message.
The description is copied to the buffer as a C string. It will not write past the end of the buffer; the message will be truncated if necessary.
| error | The error to describe |
| outBuffer | Where to write the C string to |
| bufferSize | The size of the buffer |
| C4StringResult c4error_getMessage | ( | C4Error | error | ) |
Returns an error message describing a C4Error.
Remember to free the result.
| C4Error c4error_make | ( | C4ErrorDomain | domain, |
| int | code, | ||
| C4String | message | ||
| ) |
Creates a C4Error struct with the given domain and code, and associates the message with it.
| bool c4error_mayBeNetworkDependent | ( | C4Error | err | ) |
Returns true if this error might go away when the network environment changes, i.e.
the client should retry after notification of a network status change.
| bool c4error_mayBeTransient | ( | C4Error | err | ) |
Returns true if this is a network error that may be transient, i.e.
the client should retry after a delay.


Defines |
| #define | WM_NOTIFYICON (WM_USER + 1) |
Enumerations |
| enum | {
NO_SHOW_PROMPT,
SHOW_PROMPT
} |
| | index of the selected font size. More...
|
Functions |
| int WINAPI | WinMain (HINSTANCE hInst, HINSTANCE hInstPrev, LPSTR lpstrCmdLine, int cmdShow) |
| LRESULT CALLBACK | KeyboardWndProc (HWND hwnd, UINT msg, WPARAM wParam, LPARAM lParam) |
| | KeyboardWndProc.
|
| BOOL WINAPI | About (HWND hDlg, unsigned message, WORD wParam, LONG lParam) |
| | Dialog procedure for about box.
|
| BOOL WINAPI | Info (HWND hDlg, unsigned message, WORD wParam, LONG lParam) |
| | Dialog procedure for info box.
|
| BOOL WINAPI | Font (HWND hDlg, unsigned message, WORD wParam, LONG lParam) |
| | Dialog procedure for font box.
|
| BOOL WINAPI | FontName (HWND hDlg, unsigned message, WORD wParam, LONG lParam) |
| | Dialog procedure for fontname box.
|
| string | regKeyFont ("Software\\UniGeez\\Font") |
Variables |
| const int | ID_ON = 1 |
| const int | ID_OFF = 2 |
| bool | infoState = false |
| bool | overRideInfoState = false |
| HWND | hwndMain = NULL |
| | instance handle for UniGeez Transliterator.
|
| HICON | hIcon = NULL |
| | needed in callback -- main handle.
|
| bool | fontSizeState = false |
| | global to track the font size state within the main window.
|
| bool | previousFontState = false |
| | global to track the font size state when the main window losses focus.
|
| HMENU | hMenu |
| bool | State = false |
| | handle to the menu.
|
| int | indexFS = 4 |
| | current hook state.
|
| HWND | hProc = NULL |


Party Activities Microservice
This is a party activity logging microservice from Pip.Services library. It logs important party activities like signups, signins, creation, changes or deletion of data items and so on.
The microservice currently supports the following deployment options:
- Deployment platforms: Standalone Process, Seneca
- External APIs: HTTP/REST, Seneca
- Persistence: In-Memory, Flat Files, MongoDB
This microservice has no dependencies on other microservices.
- Download Links
- Development Guide
- Configuration Guide
- Deployment Guide
- Client SDKs
- Communication Protocols
Contract
Logical contract of the microservice is presented below. For physical implementation (HTTP/REST), please, refer to documentation of the specific protocol.
class PartyActivityV1 implements IStringIdentifiable {
/* Identification */
String id;
String org_id;
/* Identification fields */
DateTime time;
String type;
ReferenceV1 party;
/* References objects (notes, goals, etc.) */
ReferenceV1 ref_item;
List<ReferenceV1> ref_parents;
ReferenceV1 ref_party;
/* Other details like % of progress or new status */
StringValueMap details;
}
class ReferenceV1 implements IStringIdentifiable {
String id;
String type;
String name;
}
abstract class IActivitiesV1 {
Future<DataPage<PartyActivityV1>> getPartyActivities(
String correlationId, FilterParams filter, PagingParams paging);
Future<PartyActivityV1> logPartyActivity(String correlationId, PartyActivityV1 activity);
Future<List<PartyActivityV1>> batchPartyActivities(String correlationId, List<PartyActivityV1> activities);
Future deletePartyActivities(String correlationId, dynamic filter);
}
Download
Right now the only way to get the microservice is to check it out directly from github repository
git clone git@github.com:pip-services-users/pip-services-activities-dart.git
Pip.Service team is working to implement packaging and make stable releases available for your as zip downloadable archieves.
Run
Add config.yaml file to the root of the microservice folder and set configuration parameters.
Example of microservice configuration
---
# Container descriptor
- descriptor: "pip-services:context-info:default:default:1.0"
name: "pip-services-activities"
description: "Activities microservice for pip-services"
# Console logger
- descriptor: "pip-services:logger:console:default:1.0"
level: "trace"
# Performance counters that posts values to log
- descriptor: "pip-services:counters:log:default:1.0"
level: "trace"
{{#MEMORY_ENABLED}}
# In-memory persistence. Use only for testing!
- descriptor: "pip-services-activities:persistence:memory:default:1.0"
{{/MEMORY_ENABLED}}
{{#FILE_ENABLED}}
# File persistence. Use it for testing of for simple standalone deployments
- descriptor: "pip-services-activities:persistence:file:default:1.0"
path: {{FILE_PATH}}{{^FILE_PATH}}"./data/activities.json"{{/FILE_PATH}}
{{/FILE_ENABLED}}
{{#MONGO_ENABLED}}
# MongoDB Persistence
- descriptor: "pip-services-activities:persistence:mongodb:default:1.0"
collection: {{MONGO_COLLECTION}}{{^MONGO_COLLECTION}}activities{{/MONGO_COLLECTION}}
connection:
uri: {{{MONGO_SERVICE_URI}}}
host: {{{MONGO_SERVICE_HOST}}}{{^MONGO_SERVICE_HOST}}localhost{{/MONGO_SERVICE_HOST}}
port: {{MONGO_SERVICE_PORT}}{{^MONGO_SERVICE_PORT}}27017{{/MONGO_SERVICE_PORT}}
database: {{MONGO_DB}}{{#^MONGO_DB}}app{{/^MONGO_DB}}
credential:
username: {{MONGO_USER}}
password: {{MONGO_PASS}}
{{/MONGO_ENABLED}}
{{^MEMORY_ENABLED}}{{^FILE_ENABLED}}{{^MONGO_ENABLED}}
# Default in-memory persistence
- descriptor: "pip-services-activities:persistence:memory:default:1.0"
{{/MONGO_ENABLED}}{{/FILE_ENABLED}}{{/MEMORY_ENABLED}}
# Default controller
- descriptor: "pip-services-activities:controller:default:default:1.0"
# Common HTTP endpoint
- descriptor: "pip-services:endpoint:http:default:1.0"
connection:
protocol: "http"
host: "<IP_ADDRESS>"
port: 8080
# HTTP endpoint version 1.0
- descriptor: "pip-services-activities:service:http:default:1.0"
# Heartbeat service
- descriptor: "pip-services:heartbeat-service:http:default:1.0"
# Status service
- descriptor: "pip-services:status-service:http:default:1.0"
For more information on the microservice configuration see Configuration Guide.
Start the microservice using the command:
dart ./bin/run.dart
Use
The easiest way to work with the microservice is to use client SDK. The complete list of available client SDKs for different languages is listed in the Quick Links
If you use dart, then get references to the required libraries:
- Pip.Services3.Commons : https://github.com/pip-services3-dart/pip-services3-commons-dart
- Pip.Services3.Rpc: https://github.com/pip-services3-dart/pip-services3-rpc-dart
Add pip-services3-commons-dart and pip-templates-microservice-dart packages
import 'package:pip_services3_commons/pip_services3_commons.dart';
import 'package:pip_templates_microservice/pip_templates_microservice.dart';
Define client configuration parameters that match the configuration of the microservice's external API
// Client configuration
var httpConfig = ConfigParams.fromTuples(
"connection.protocol", "http",
"connection.host", "localhost",
"connection.port", 8080
);
Instantiate the client and open connection to the microservice
// Create the client instance
var client = ActivitiesHttpClientV1(config);
// Configure the client
client.configure(httpConfig);
// Connect to the microservice
try{
await client.open(null)
}catch() {
// Error handling...
}
// Work with the microservice
// ...
Now the client is ready to perform operations
// Create a new activity
final ACTIVITY = PartyActivityV1({
type: 'signup',
party: {
id: '123',
name: 'Test User'
}
});
// Create the activity
try {
var activity = await client.logPartyActivity('123', ACTIVITY);
// Do something with the returned activity...
} catch(err) {
// Error handling...
}
// Get the list of activities for 'My Samples' product
var now = new Date();
try {
var page = await client.getPartyActivities(
null,
{
party_id: '123',
from_time: new Date(now.getTime() - 24 * 3600 * 1000),
to_time: now
},
{
total: true,
skip: 0,
take: 10
});
// Do something with page...
} catch(err) { // Error handling}
Acknowledgements
This microservice was created and currently maintained by
- Sergey Seroukhov.
- Nuzhnykh Egor


What is this for?
It is a list of Alfred common custom web search I use to make my work easier. Custom web search feature is free in Alfred 3 and you can import the config by clicking the links below.
You can find more information about Alfred custom web search here.
Forums
StackoverflowPackage and Library Searching
GithubNPM
APM
Documentations
Dev Docs Lodash 4Web standards
Can I UseMDN


A pre-production standalone deployment of "My App" on a public cloud infrastructure.
Hi there! Welcome to your very first sandbox. In this sandbox, you’ll find a standalone version of your application “My App”. "My App" is a PHP-based eCommerce platform.
In this simple sandbox, both the web server and the database are installed on the same machine as a LAMP stack (Linux, Apache, MySQL, PHP) using an image of a LAMP stack VM from AWS marketplace.
A sandbox is based on a blueprint, which is an offline template of the sandbox, including the required components, connectivity and automation. In real life scenarios, blueprints are usually created by DevOps engineers to be used by testers, developers or sales engineers.
The blueprint can be deployed automatically by some CI process or deployed manually by a tester that wants to get a specific build of the application up and running without all the hassle of configuring everything manually.
Now it’s time to make the blueprint live and create your first sandbox by clicking the Reserve button. Launching the sandbox will deploy and configure "My App" on a new AWS instance located in a cloud subnet (in this case, an AWS VPC), which is dedicated to the sandbox and is completely isolated.
Please note that in your trial version you are limited to 2 hours per sandbox and up to 2 concurrent sandboxes.
When the sandbox starts, CloudShell automatically calls the sandbox’s Setup process. This process automatically deploys the VM in the selected public cloud in this case, AWS US East (N. Virginia) region, and then configures the application to the baseline state. You can monitor the Setup progress by opening the Output console.
Note that the Setup process might take some time. Please do not end the sandbox before the Setup process completes.
Once the Setup has completed successfully, the sandbox will change its state to "Active" (take a look at the main menu's blue bar). You can access the VM by hovering over the App and clicking the SSH link, or open the web interface of the application by clicking Web.
Note that the IP address you see on the deployed application is the private IP inside the sandbox's subnet. The application cannot be accessed using this IP address, however, your App also has a public IP, which can be found in the App's Attributes side pane with specific ports that allow access to the App's web interface. To open the side pane, hover over the App and click the Attributes button. The Web link above utilizes the public IP address and port.
To access the App's administrator page, hover over the App and click the Web Management link. Log in with the following credentials:
User<EMAIL_ADDRESS>Password: MyApp@Cloudshell
The application comes with some default commands, which can be extended in the full version of CloudShell. The commands can be found in the Commands side pane. To open the side pane, hover over the App and click the Commands button.
Note that the public IP might change when you power the VM off and then on again. This will cause the access links to break and can be fixed by running the "Refresh IP" command..
You may run any of the default commands.
By default, the sandbox is set to automatically end once its allocated time has passed. However, you can manually stop the sandbox when you finish working with it by clicking the End button.
When the sandbox ends, a Teardown process kicks in and deletes all the VMs along with the sandbox's dedicated VPC and Subnet on AWS. You can monitor the Teardown progress by opening the Output console.
For more information refer to Quali help site or
search in Quali Community.


{%extends "layout.html"%} {%block content%}
This application was created for Kiwi interview purpose in January 2019.
Created by Tomas Cernak.


Objectives of the system:
- delay payments
- To make the caretaker’s work easier
- To implement a digital rent payment system
System Requirements:
Windows
- Windows Vista SP2, Windows 7
- Core 2 Duo or Athlon X2 at 2.4 GHz
- 2 GB RAM
Objectives of the system:
- delay payments
- To make the caretaker’s work easier
- To implement a digital rent payment system
System Requirements:
Windows
- Windows Vista SP2, Windows 7
- Core 2 Duo or Athlon X2 at 2.4 GHz
- 2 GB RAM


Web Applications for CV
Web apps in
kamino410/cv-snippets repository
.
Camera Calibration
Camera Distortion Simulator
Projector Calibration


Helper methods for operations related to the management of volumes, and storage repositories
Bases: exceptions.Exception
To raise errors related to SR, VDI, PBD, and VBD commands
Create an iSCSI storage repository that will be used to mount the volume for the specified instance
Return the storage repository given a uuid.
Find the SR reference from the VBD reference
Forgets the storage repository without destroying the VDIs within
Introduce VDI in the host
Translate a mountpoint like /dev/sdc into a numeric
Parse device_path and mountpoint as they can be used by XenAPI. In particular, the mountpoint (e.g. /dev/sdc) must be translated into a numeric literal. FIXME(armando): As for device_path, currently cannot be used as it is, because it does not contain target information. As for interim solution, target details are passed either via Flags or obtained by iscsiadm. Long-term solution is to add a few more fields to the db in the iscsi_target table with the necessary info and modify the iscsi driver to set them.


|
Assimp
5.0.1, master @ cd42b955
|
Data structure to store a mesh. More...
Public Member Functions | |
| Mesh (const std::string &name) | |
| Constructor. More... | |
| ~Mesh () | |
| Destructor. More... | |
Public Attributes | |
| std::vector< Face * > | m_Faces |
| Array with pointer to all stored faces. More... | |
| bool | m_hasNormals |
| True, if normals are stored. More... | |
| bool | m_hasVertexColors |
| True, if vertex colors are stored. More... | |
| std::string | m_name |
| The name for the mesh. More... | |
| Material * | m_pMaterial |
| Assigned material. More... | |
| unsigned int | m_uiMaterialIndex |
| Material index. More... | |
| unsigned int | m_uiNumIndices |
| Number of stored indices. More... | |
| unsigned int | m_uiUVCoordinates [AI_MAX_NUMBER_OF_TEXTURECOORDS] |
| Number of UV. More... | |
Static Public Attributes | |
| static const unsigned int | NoMaterial = ~0u |
Data structure to store a mesh.
|
inlineexplicit |
Constructor.
|
inline |
Destructor.
| std::vector<Face *> Assimp::ObjFile::Mesh::m_Faces |
Array with pointer to all stored faces.
| bool Assimp::ObjFile::Mesh::m_hasNormals |
True, if normals are stored.
| bool Assimp::ObjFile::Mesh::m_hasVertexColors |
True, if vertex colors are stored.
| std::string Assimp::ObjFile::Mesh::m_name |
The name for the mesh.
| Material* Assimp::ObjFile::Mesh::m_pMaterial |
Assigned material.
| unsigned int Assimp::ObjFile::Mesh::m_uiMaterialIndex |
Material index.
| unsigned int Assimp::ObjFile::Mesh::m_uiNumIndices |
Number of stored indices.
| unsigned int Assimp::ObjFile::Mesh::m_uiUVCoordinates[AI_MAX_NUMBER_OF_TEXTURECOORDS] |
Number of UV.
|
static |


I had a hard time connecting the BeagleBone Black to the internet while I was working from Fedora 19. The tutorials for other Linux distros were pretty straight forward. After having pondered over it for a day or two I finally managed to access internet from the Black. Special credits to Gaurav Jain :D.
So here is what I did,
SSH to your Black using ssh<EMAIL_ADDRESS>Once this is done run the following commands from the beaglebone shell.
- root@beaglebone:/ # /sbin/route add default gw <IP_ADDRESS>
- root@beaglebone:/ # echo “nameserver <IP_ADDRESS>” » /etc/resolv.conf
On the host Linux Machine except Fedora:
-
sudo iptables -A POSTROUTING -t nat -j MASQUERADE
This instruction enables the masquerading option allowing any device in the subnet to act on behalf of the host machine.
-
sudo echo 1 sudo tee /proc/sys/net/ipv4/ip_forward > /dev/null This instruction enables the ipv4 forwarding providing the beaglebone with access to the internet.
On a Fedora machine instead of above two intsructions:
-
Open Firewall settings.
-
Select zone as public.
-
In the side tab panel select masquerading
-
Enable Masquerade zones.
Switch back to the BeagleBone Black terminal
root@beaglebone:/ # ping google.com
A successful ping implies beaglebone black now has internet access.
Go ahead and update your Black!
root@beaglebone:/ # opkg update
(opkg is the package manager for the BeagleBone Black.)
Also here is one nice tutorial for getting a hands on with the BBB BBB-Workshop by Anuj Deshpande


you walk for a little while untill you notice a hidden trail nestled in the bushes that leads south.
if you wanna take it you can.... if you don't... that's fine too... it's not like i'm gonna stop you.
however... if you do take it, you can come back here anytime... so there's nothing wrong with taking it... but
you have to ask your self,"Is this what i really want...".
\


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05.31.18
There is so much to love about Athens, but a few things in particular stick out as the best. Here’s what the culture staffers of The Post picked as their Athens essentials.
Alexis Eichelberger: Casa Nueva. I only get it when my parents come to town, but it’s worth the wait, and they use tons of yummy local ingredients.
Baylee DeMuth: Big Mamma’s Burritos. It has this burrito called a Loaded Mamma and it tastes just like Taco Bell’s loaded potato griller but much, much better.
Jessica Hill: Bagel Street Deli is the best. It’s cheap (and) delicious, and there are so many options. The MacGyger, Flaming Moe and Tom’s Turkey are all great sandwiches.
Jess Umbarger: Court Street Diner. It serves breakfasts at all hours, so it’s my favorite. The milkshakes are also great.
Kevin Pan: Peking Express. It's tucked away in a shared building, so no one ever seems to know about it — which means most of the time, they have what you want. Also, if you go after 8 p.m., they tend to pile on an insane amount of food since they don’t want to waste anything before they close. They also occasionally have a $3.75 deal if you come in after 8 p.m.
Georgia Davis: Ginger Asian Kitchen. It’s a good vegetarian option, but I personally like my noodles with meat and veggies.
Alexis: The top floor of Alden Library is spooky quiet, and the view is nice if you can get a seat near a window.
Jessica: This might be cliche, but Donkey Coffee and Espresso has the best study vibes. Chill music is always playing, and if you start to get burnt out you can grab a coffee or play a game.
Jess: The sixth or seventh floor of Alden is always a good option. You can exclude yourself in a corner or look out a window. Just be careful, it can be easy to get lost up there.
Kevin: What’s studying?
Georgia: In my bed.
Alexis: East Green is the prettiest, but the hills are killer. You win some, you lose some.
Baylee: East Green is by far the best, especially when it’s autumn. I always find myself taking it all in as if I’m seeing it all for the first time.
Jessica: West Green is the best. It has the best dining hall, it’s in its own separate world, and it has a huge green space for playing frisbee or just hanging out.
Jess: East Green is so pretty and feels like a different world, especially when the leaves change in the fall or right after it snows.
Kevin: You know it’s the best because it rhymes. What other reason do you need?
Georgia: WEST IS BEST.
Alexis: Boyd Dining Hall has the best healthy stuff, and it’s definitely the most vegetarian friendly.
Baylee: Nelson is my favorite dining hall. I’ve actually heard a lot of people not liking Nelson, but all-day breakfast? I would eat waffles all day, every day if I could.
Jessica: Boyd is the best. It has the most healthy options.
Jess: Nelson has breakfast all day. ‘Nuff said.
Kevin: Boyd all day. Its rotisserie chicken is amazing.
Georgia: Shively Dining Hall is good for comfort food. Nelson is good for breakfast all day. But Boyd has the best quality. Also, appreciate a meal plan while you have one. You will miss it when you move off campus.
 Even if you’re not planning on buying anything, it’s an adventure just to look around and see what you find.
Jessica: Retweet to Athens Underground. It has the most personality, and it’s always fun to look at everything the store has to offer.
Jess: Bluetique has super cute and trendy stuff, and there are always good sales.
Kevin: I love shopping at Chipotle. I walk out with a purchase I’m happy with 100 percent of the time. Also, occasionally they have good deals like free chips and guac.
Georgia: Artifacts Gallery has a lot of cool local goods and really funny socks.
Alexis: I’ve taken some of my best naps in the egg chairs in Alden, and I hope to someday buy one for my home.
Jessica: Donkey Coffee is both my favorite place to study and place to relax. It’s a multi-purpose coffee shop.
Kevin: The balcony on the fourth floor of Baker University Center is a hidden gem. Not the side the Front Room Coffeehouse is on, the side with the ballroom. You get a perfect view of the sunset, and it’s just an all-around great place to take in the view of campus.
Georgia: The same place as my favorite place to study (bed).
Alexis: Donkey Coffee. It’s all fair trade, and the atmosphere is great for studying and just hanging out, too
Jessica: Donkey Coffee. The coffee is delicious and non-corporate.
Jess: Fluff Bakery for sure. The pastries are also amazing.
Kevin: Chipotle. If it served coffee, I’m sure it’d be my favorite.
Georgia: Court Street Coffee or Donkey Coffee. The local coffee shops here are the best.
Alexis: My absolute favorite thing to do when the weather is nice is to ride my bike on the bike path.
Jessica: The River Valley Nature Trail at the Ridges is very peaceful and offers some great meadows to relax and have a picnic.
Jess: The trails at the Ridges are great at any time of day. It’s always quiet and they have some great views.
Kevin: What is there to enjoy? I prefer the great indoors.
Georgia: I like to toss a Frisbee on College Green. It’s great place to look at trees.
Alexis: I love how much Athens people love Athens. There’s lots of local pride that translates as support for local businesses and environmental consciousness and other things that just make the culture of the whole town really special.
Jessica: I love how you can meet people with such different backgrounds and stories from your own. You can talk to someone from the opposite side of the world, and you can learn so much from them. Athens is a hub for diversity, if you look for it.
Kevin: Favorite thing about Athens? Probably all of Athens. It’s hard to sum up in a few words, but you’ll understand what I’m talking about after a year here. “Athens happens” is a good motto to sum it all up.
Georgia: There’s just something about the atmosphere in Athens. The moment I stepped on the red bricks, I knew I wanted to call it home.
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name: inverse layout: true class: center, middle, inverse --- # STAT 105: Lecture 7 ## Chapter 4: Describing Relationships Between Variables .footnote[Course page: [imouzon.github.io/stat105](https://imouzon.github.io/stat105)] --- # Recap ## Quantiles and Their Plots --- layout:false .left-column[ ## Recap ### `\(Q(p)\)` ] .right-column[ ### The Quantile Function For \\(0 \le p \le 1\\) and sample size \\(n\\) we let \\(i = \lfloor n \cdot p + 0.5 \rfloor \\) and find the \\(p^{th}\\) quantile using: \\[ Q(p) = x\_i + (n \cdot p + 0.5 - i) (x\_{i + 1} - x\_i) \\] ### Recall - if `\(n \cdot p + .5\)` is an integer, we are going to use an `\(x_i\)` from our sample. - if `\(n \cdot p + .5\)` is **not** an integer, we add a little bit ] --- .left-column[ ## Recap ### `\(Q(p)\)` ] .right-column[ ### The Quantile Function For \\(0 \le p \le 1\\) and sample size \\(n\\) we let \\(i = \lfloor n \cdot p + 0.5 \rfloor \\) and find the \\(p^{th}\\) quantile using: \\[ Q(p) = x\_i + (n \cdot p + 0.5 - i) (x\_{i + 1} - x\_i) \\] ### QQ Plots A plot that compares the result of calculating \\( Q(p) \\) using one set of values to the results of calculating \\( Q(p) \\) on a second set of data. We can compare the set of values we are interested in to either 1. another set of values 2. the quantiles we would get for a specific set of _theoretcial_ quantiles. ] --- layout:false .left-column[ ## Recap from Lecture 6 ### `\(Q(p)\)` ] .right-column[ **Example** Using the quantile function , find the .10, .17, .25, .30, .50, .70, and .90 quantiles for the sample:
8, 19, 34, 57, 109
**Solution** | \\(p\\) | .10 | .17 | .25 | .30 | .50 | .70 | .90 | |----------|-----|-----|-----|-----|-----|-----|-----| | \\(n \\cdot p + 0.5\\) | | | | | | | | | \\(i\\) | | | | | | | | | \\(Q(p)\\) | | | | | | | | 1. Start with a simple table ] --- layout:false .left-column[ ## Recap ### `\(Q(p)\)` ] .right-column[ **Example** Using the quantile function , find the .10, .17, .25, .30, .50, .70, and .90 quantiles for the sample:
8, 19, 34, 57, 109
**Solution** | \\(p\\) | .10 | .17 | .25 | .30 | .50 | .70 | .90 | |----------|-----|-----|-----|-----|-----|-----|-----| | \\(n \\cdot p + 0.5\\) | 1 | 1.35 | 1.75 | 2 | 3 | 4 | 5 | | \\(i\\) | 1 | 1 | 1 | 2 | 3 | 4 | 5 | | \\(Q(p)\\) | | | | | | | | 1. Start with a simple table 2. Find all the values of `\(n \cdot p + 0.5\)` and `\(i = \lfloor n \cdot p + 0.5 \rfloor\)` ] --- layout:false .left-column[ ## Recap ### `\(Q(p)\)` ] .right-column[ **Example** Using the quantile function , find the .10, .17, .25, .30, .50, .70, and .90 quantiles for the sample:
8, 19, 34, 57, 109
**Solution** | \\(p\\) | .10 | .17 | .25 | .30 | .50 | .70 | .90 | |----------|-----|-----|-----|-----|-----|-----|-----| | \\(n \\cdot p + 0.5\\) | 1 | 1.35 | 1.75 | 2 | 3 | 4 | 5 | | \\(i\\) | 1 | 1 | 1 | 2 | 3 | 4 | 5 | | \\(Q(p)\\) | 8 | | | 19 | 34 | 57 | 109 | 1. Start with a simple table 2. Find all the values of `\(n \cdot p + 0.5\)` and `\(i = \lfloor n \cdot p + 0.5 \rfloor\)` 3. If `\(n \cdot p + 0.5 = i\)` then `\(Q(p) = x_i\)` (we add nothing) ] --- layout:false .left-column[ ## Recap ### `\(Q(p)\)` ] .right-column[ **Example** Using the quantile function , find the .10, .17, .25, .30, .50, .70, and .90 quantiles for the sample:
8, 19, 34, 57, 109
**Solution** | \\(p\\) | .10 | .17 | .25 | .30 | .50 | .70 | .90 | |----------|-----|-----|-----|-----|-----|-----|-----| | \\(n \\cdot p + 0.5\\) | 1 | 1.35 | 1.75 | 2 | 3 | 4 | 5 | | \\(i\\) | 1 | 1 | 1 | 2 | 3 | 4 | 5 | | \\(Q(p)\\) | 8 | 11.85 | | 19 | 34 | 57 | 109 | 1. Start with a simple table 2. Find all the values of `\(n \cdot p + 0.5\)` and `\(i = \lfloor n \cdot p + 0.5 \rfloor\)` 3. If `\(n \cdot p + 0.5 = i\)` then `\(Q(p) = x_i\)` 4. Calculate the other values:
`\[ \begin{align} Q(.17) &= x_i + (n \cdot p + 0.5 - 1)(x_{i+1} - x_i) \\\\ &= x_1 + (5 \cdot .17 + 0.5 - 1)(x_{2} - x_1) \\\\ &= 8 + (0.85 + 0.5 - 1)(19 - 8) \\\\ &= 8 + (0.35)(11) \\\\ &= 11.85 \end{align} \]`
] --- layout:false .left-column[ ## Recap ### `\(Q(p)\)` ] .right-column[ **Example** Using the quantile function , find the .10, .17, .25, .30, .50, .70, and .90 quantiles for the sample:
8, 19, 34, 57, 109
**Solution** | \\(p\\) | .10 | .17 | .25 | .30 | .50 | .70 | .90 | |----------|-----|-----|-----|-----|-----|-----|-----| | \\(n \\cdot p + 0.5\\) | 1 | 1.35 | 1.75 | 2 | 3 | 4 | 5 | | \\(i\\) | 1 | 1 | 1 | 2 | 3 | 4 | 5 | | \\(Q(p)\\) | 8 | 11.85 | 16.25 | 19 | 34 | 57 | 109 | 1. Start with a simple table 2. Find all the values of `\(n \cdot p + 0.5\)` and `\(i = \lfloor n \cdot p + 0.5 \rfloor\)` 3. If `\(n \cdot p + 0.5 = i\)` then `\(Q(p) = x_i\)` 4. Calculate the other values:
`\[ \begin{align} Q(.25) &= x_i + (n \cdot p + 0.5 - 1)(x_{i+1} - x_i) \\\\ &= x_1 + (5 \cdot .25 + 0.5 - 1)(x_{2} - x_1) \\\\ &= 8 + (1.25 + 0.5 - 1)(19 - 8) \\\\ &= 8 + (0.75)(11) \\\\ &= 16.25 \end{align} \]`
] --- .left-column[ ## Recap ### `\(Q(p)\)` ### Plots ] .right-column[ ### Boxplots Use `\(Q(.25), Q(.5), Q(.75)\)` along with IQR to show spread of the data over quartiles and identify "outlying" values. ### Quantile Plots: Scatterplots using quatiles and their corresponding values. ### Quantile-Quantile Plots - For samples of equal size `\(n\)` we can create a plot that helps us identify if the spread of the data is similar - We can also compare the quantiles from our sample to the quantiles of some known distribution ] --- .left-column[ ## Recap ### `\(Q(p)\)` ### Plots ] .right-column[ ### Quantile-Quantile Plots **Example** Compare the following three samples using Quantile-Quantile plots: - Sample 1: 46, 40, 39, 37, 45, 38, 43 - Sample 2: 141, 123, 120, 112, 136, 115, 133 - Sample 3: 99, 76, 92, 82, 94, 80, 90 **Approach** We create a table of the quantiles that correspond to data points. ] --- .left-column[ ## Recap ### `\(Q(p)\)` ### Plots ] .right-column[ ### Quantile-Quantile Plots **Example** Compare the following three samples using Quantile-Quantile plots: - Sample 1: 82, 92, 51, 88, 63, 92, 85 - Sample 2: 41, 48, 31, 37, 39, 38, 42 - Sample 3: 125, 146, 95, 114, 118, 116, 128 **Step 0**: Determine which quantiles correspond to the values in our set: - There are \\(n = 7\\) observations in our data. - Find \\(\\frac{i - 0.5}{7}\\) for \\(i = 1, 2, \ldots, 7\\) | \\(i\\) | 1 | 2 | 3 | 4 | 5 | 6 | 7 | |--|--|--|--|--|--|--|--| | \\(p\\) | 0.07 | 0.21 | 0.36 | 0.5 | 0.64 | 0.79 | 0.93 | ] --- .left-column[ ## Recap ### `\(Q(p)\)` ### Plots ] .right-column[ ### Quantile-Quantile Plots **Example** Compare the following three samples using Quantile-Quantile plots: - Sample 1: 82, 92, 51, 88, 63, 92, 85 - Sample 2: 41, 48, 31, 37, 39, 38, 42 - Sample 3: 125, 146, 95, 114, 118, 116, 128 **Step 1**: Create a table of the quantiles that correspond to data points: | | \\(p\\) | 0.07 | 0.21 | 0.36 | 0.5 | 0.64 | 0.79 | 0.93 | |--|--|--|--|--|--|--|--|--| | Sample 1 | \\(Q(p)\\) | 51 | 63 | 82 | 85 | 88 | 92 | 92 | | Sample 2 | \\(Q(p)\\) | 31 | 37 | 38 | 39 | 41 | 42 | 48 | | Sample 3 | \\(Q(p)\\) | 95 | 114 | 116 | 118 | 125 | 128 | 146 | ] --- .left-column[ ## Recap ### `\(Q(p)\)` ### Plots ] .right-column[ ### Quantile-Quantile Plots **Example** Compare the following three samples using Quantile-Quantile plots: - Sample 1: 82, 92, 51, 88, 63, 92, 85 - Sample 2: 41, 48, 31, 37, 39, 38, 42 - Sample 3: 125, 146, 95, 114, 118, 116, 128 **Step 2**: Use the paired quantiles to make the plots ![plot of chunk unnamed-chunk-5](figure/unnamed-chunk-5-1.png) ![plot of chunk unnamed-chunk-5](figure/unnamed-chunk-5-2.png) ![plot of chunk unnamed-chunk-5](figure/unnamed-chunk-5-3.png) ] --- name: inverse layout: true class: center, middle, inverse --- # Chapter 4, Section 1 ## Linear Relationships Between Variables --- layout: false .left-column[ ## Describing Relationships ### Idea ] .right-column[ ## Describing Relationships We have a standard idea of how our experiment works:
*and* we know that with an valid experiment, we can say that the changes in our experimental variables actually *cause* changes in our response. But how do we describe those response when we know that random error would make each result different... ] --- .left-column[ ## Describing Relationships ### Idea ] .right-column[ ## The Underlying Idea
We start with a valid mathematical model, for instance a line: \\[ y = \beta_0 + \beta_1 \cdot x \\] In this case, - \\(\beta_0\\) is the intercept - when \\(x = 0\\), \\(y = \beta_0\\). - \\(\beta_1\\) is the slope - when \\(x\\) increase by one unit, \\(y\\) increases by \\(\beta_1\\) units. ] --- .left-column[ ## Describing Relationships ### Idea ### Ex: Bar Stress ] .right-column[ ## Example: Stress on Bars An experiment examining the effects of **stress** on **time until fracture** is performe by taking a sample of 10 stainless steel rods immersed in 40% CaCl solution at 100 degrees Celsius and applying different amounts of uniaxial stress. The results are recorded below: | | | | | | | | | | | | |--------------------------------------|------|------|------|------|------|------|------|------|------|------| | **stress** \\((\text{kg/mm}^2)\\) | 2.5 | 5.0 | 10.0 | 15.0 | 17.5 | 20.0 | 25.0 | 30.0 | 35.0 | 40.0 | | **lifetime** (hours) | 63 | 58 | 55 | 61 | 62 | 37 | 38 | 45 | 46 | 19 | A good first place to investigate the relationship between our experimental variables (in this case, stress) and the response (in this case, lifetime) is to use a scatterplot and look to see if there might be any basic mathematical function that could describe the relationship between the variables. ] --- .left-column[ ## Describing Relationships ### Idea ### Ex: Bar Stress ] .right-column[ ** Example: Strain on Bars (continued) ** Our data: | | | | | | | | | | | | |--------------------------------------|------|------|------|------|------|------|------|------|------|------| | **stress** \\((\text{kg/mm}^2)\\) | 2.5 | 5.0 | 10.0 | 15.0 | 17.5 | 20.0 | 25.0 | 30.0 | 35.0 | 40.0 | | **lifetime** (hours) | 63 | 58 | 55 | 61 | 62 | 37 | 38 | 45 | 46 | 19 | - Plotting stress along the \\(x\\)-axis and plotting lifetime along the \\(y\\)-axis we get
] --- .left-column[ ## Describing Relationships ### Idea ### Ex: Bar Stress ] .right-column[ ** Example: Strain on Bars (continued) ** Our data: | | | | | | | | | | | | |--------------------------------------|------|------|------|------|------|------|------|------|------|------| | **stress** \\((\text{kg/mm}^2)\\) | 2.5 | 5.0 | 10.0 | 15.0 | 17.5 | 20.0 | 25.0 | 30.0 | 35.0 | 40.0 | | **lifetime** (hours) | 63 | 58 | 55 | 61 | 62 | 37 | 38 | 45 | 46 | 19 | - Examining the plot, we might determine that there could be a linear relationship between the two. The red line looks like it fits the data pretty well.
] --- .left-column[ ## Describing Relationships ### Idea ### Ex: Bar Stress ] .right-column[ ** Example: Strain on Bars (continued) ** Our data: | | | | | | | | | | | | |--------------------------------------|------|------|------|------|------|------|------|------|------|------| | **stress** \\((\text{kg/mm}^2)\\) | 2.5 | 5.0 | 10.0 | 15.0 | 17.5 | 20.0 | 25.0 | 30.0 | 35.0 | 40.0 | | **lifetime** (hours) | 63 | 58 | 55 | 61 | 62 | 37 | 38 | 45 | 46 | 19 | - But there are several other lines that fit the data pretty well, too.
- How do we decide which is best? ] --- .left-column[ ## Describing Relationships ### Idea ### Ex: Bars ### Fitting Lines ] .right-column[ ### Where the line comes from When we are trying to find a line that fits our data what we are _really_ doing is saying that there is a true physical relationship between our experimental variable \\(x\\) is related to our response \\(y\\) that has the following form: **Theoretical Relationship** \\[ y = \beta_0 + \beta_1 \cdot x \\] However, the response we observe is also effected by random noise: **Observed Relationship** \begin{align} y &= \beta_0 + \beta_1 \cdot x + \text{errors} \\\\ &= \text{signal} + \text{noise} \end{align} If we did a good job, hopefully we will have small enough errors so that we can say \\[ y \approx \beta_0 + \beta_1 \cdot x \\] ] --- .left-column[ ## Describing Relationships ### Idea ### Ex: Bars ### Fitting Lines ] .right-column[ ### Where the line comes from So, if things have gone well, we are attempting to estimate the value of \\(\beta_0\\) and \\(\beta_1\\) from our observed relationship \\[ y \approx \beta_0 + \beta_1 \cdot x \\] Using the following notation: - \\(b\_0\\) is the estimated value of \\(\beta\_0\\) and - \\(b\_1\\) is the estimated value of \\(\beta\_1\\) - \\(\hat{y}\\) is the estimated response We can write a **fitted relationship**: \\[ \hat{y} = b\_0 + b\_1 \cdot x \\] The key here is that we are going from the underlying _true, theoretical_ relationship to an _estimated_ relationship. In other words, we will never get the true values \\(\beta_0\\) and \\(\beta_1\\) but we can estimate them. However, this doesn't tell us _how_ to estimate them. ] --- .left-column[ ## Describing Relationships ### Idea ### Ex: Bars ### Fitting Lines ### Best Estimate ] .right-column[ ### The principle of Least Squares A good estimte should be based on the data. Suppose that we have observed responses \\(y\_1, y\_2, \ldots, y\_n\\) for experimental variables set at \\(x\_1, x\_2, \ldots, x\_n\\). Then the **Principle of Least Squares** says that the best estimate of \\(\beta\_0\\) and \\(\beta\_1\\) are values that **minimize** \\[ \sum_{i = 1}^n (y\_i - \hat{y}\_i)^2 \\] In our case, since \\( \hat{y}\_i = b\_0 + b\_1 \cdot x\_i \\) we need to choose values for \\(b\_0\\) and \\(b\_1\\) that minimize \\[ \sum\_{i = 1}^n (y\_i - \hat{y}\_i)^2 = \sum\_{i = 1}^n \left(y\_i - (b\_0 + b\_1 \cdot x\_i ) \right)^2 \\] In other words, we need to minimize something with respect to two values we get to choose - we can do this by taking derivatives. ] --- .left-column[ ## Describing Relationships ### Idea ### Ex: Bars ### Fitting Lines ### Best Estimate ] .right-column[ ### Deriving the Least Squares Estimates
\begin{align} \sum\_{i = 1}^n (y\_i - \hat{y}\_i)^2 &= \sum\_{i = 1}^n \left(y\_i - (b\_0 + b\_1 x\_i ) \right)^2 \\\\ &= \sum\_{i = 1}^n \left(y\_i^2 - 2 y\_i (b\_0 + b\_1 x\_i ) + (b\_0 + b\_1 x\_i )^2\right) \\\\ &= \sum\_{i = 1}^n y\_i^2 - \sum\_{i = 1}^n 2 y\_i (b\_0 + b\_1 x\_i ) + \sum\_{i = 1}^n (b\_0 + b\_1 x\_i )^2 \\\\ &= \sum\_{i = 1}^n y\_i^2 - \sum\_{i = 1}^n (2 y\_i b\_0 + 2 y\_i b\_1 x\_i ) + \sum\_{i = 1}^n \left(b\_0^2 + 2 b\_0 b\_1 x\_i + (b\_1 x\_i )^2 \right) \\\\ &= \sum\_{i = 1}^n y\_i^2 - \sum\_{i = 1}^n 2 y\_i b\_0 - \sum\_{i = 1}^n 2 y\_i b\_1 x\_i + \sum\_{i = 1}^n b\_0^2 + \sum\_{i = 1}^n 2 b\_0 b\_1 x\_i + \sum\_{i = 1}^n b\_1^2 x\_i^2 \\\\ &= \sum\_{i = 1}^n y\_i^2 - 2 b\_0 \sum\_{i = 1}^n y\_i - 2 b\_1 \sum\_{i = 1}^n y\_i x\_i + n b\_0^2 + 2 b\_0 b\_1 \sum\_{i = 1}^n x\_i + b\_1^2 \sum\_{i = 1}^n x\_i^2 \\\\ \end{align}
] --- .left-column[ ## Describing Relationships ### Idea ### Ex: Bars ### Fitting Lines ### Best Estimate ] .right-column[ ### Deriving the Least Squares Estimates (continued) - Since we have two "variables" we need to take derivates with respect to both. - Remember we have our data so we know every value of \\(x_i\\) and \\(y_i\\) and can treat those parts as constants. **The derivative with respect to \\(\mathbf{b\_0}\\)**: \\[ -2 \sum\_{i = 1}^n y\_i + 2 n b\_0 + 2 b\_1 \sum\_{i = 1}^n x\_i \\] **The derivative with respect to \\(\mathbf{b\_0}\\)**: \\[ -2 b\_0 \sum\_{i = 1}^n y\_i x\_i + 2 b\_0 \sum\_{i = 1}^n x\_i + 2 b\_1 \sum\_{i = 1}^n x\_i^2 \\]
] --- .left-column[ ## Describing Relationships ### Idea ### Ex: Bars ### Fitting Lines ### Best Estimate ] .right-column[ ### Deriving the Least Squares Estimates (continued) We set both equal to 0 and solve them at the same time: \begin{align} -2 \sum\_{i = 1}^n y\_i + 2 n b\_0 + 2 b\_1 \sum\_{i = 1}^n x\_i &= 0 \\\\ -2 b\_0 \sum\_{i = 1}^n y\_i x\_i + 2 b\_0 \sum\_{i = 1}^n x\_i + 2 b\_1 \sum\_{i = 1}^n x\_i^2 &=0 \\\\ \end{align} We can rewrite the first equation as: \begin{align} b\_0 &= \frac{1}{n} \sum\_{i = 1}^n y\_i - b\_1 \frac{1}{n} \sum\_{i = 1}^n x\_i \\\\ &= \bar{y} - b\_1 \bar{x} \end{align} and then replace all \\(b\_0\\) in the second equation (there is some algebra type stuff along the way, of course) ] --- .left-column[ ## Describing Relationships ### Idea ### Ex: Bars ### Fitting Lines ### Best Estimate ] .right-column[ ### Deriving the Least Squares Estimates (continued) After a little simplification we arrive at our estimates: **Least Squares Estimates for Linear Fit** \begin{align} b\_0 &= \bar{y}- b\_1 \bar{x} \\\\ b\_1 &= \frac{\sum\_{i = 1}^n y\_i x\_i - n \bar{x} \bar{y}}{\sum\_{i = 1}^n x\_i^2 - n \bar{x}^2} \\\\ &= \frac{\sum\_{i = 1}^n (x\_i - \bar{x})(y\_i - \bar{y})}{\sum\_{i = 1}^n (x\_i - \bar{x})^2} \end{align} **Wrap Up** - Don't try to memorize the derivation. I will never ask you to do that on an exam. - Try to understand the simplification steps - the ones that moved constants out of summations for example. - This is one rule - there are others, but **Least Squares Estimates** have some useful properties that will make them the obvious best choice as we continue the course. ] --- layout: false # Topics covered in class (overhead): - Identifying possible linear relationships - Notation: - linear equation: `\(y \approx \beta_0 + \beta_1 x \)` - fitted equation: `\(\hat{y} = b_0 + b_1 x \)` - Fitting lines using the principle of least squares - Sample correlation `\(r\)` - Coeffecient of determination `\(R^2\)` - Residuals: `\(e_i = y_i = \hat{y_i}\)` - **Example**: Chapter 4, Section 1, Exercise 3


Note: This is inspired by Julia Evans’ recent post about ….capacity planning 😌
Ground rules
RDBMS
Yes..this post is geared for those of us who use MySQL with a single writer at a time and 2 or more read replicas. A lot of what I will talk about here applies differently, or not at all, to multi writer clustered datastores, although those also come with their own set of compromises and caveats. So…your milage will definitely vary.
Sharding
I have already covered large strokes of this in one of my earlier posts, I mostly focused there on the benefits of functional or horizontal sharding. Yes that is a prerequisite, since what you use to access the database layer WILL decide how much flexibility you have to scale.
If you are a company that experiences large differences between peak and average traffic, you should be prepared to leave the paradigm of ‘the database’ as a single physical entity behind.
Ability to split reads and writes
This is something you will need to be able to do, but not necessarily enforce as a set in stone rule. There will be use cases where a write needs to be read very soon after and where tolerance for things like lag/eventual consistency is low. Those are ok to have, but in the same applications, you will also have scenarios for reads that can tolerate some longer time span of eventual consistency. When such reads are in high volume, do you really want that volume going to your single writer if it doesn’t really have to? Do yourself a favor, and make sure soon in your growth days that you can control the use of a read or write IP in your code.
Now onto the thought process of actual capacity planning…
A database cluster is not keeping up. what do I do?
Determine the system bottleneck
- Is the issue high CPU?
- Is it IO capacity?
- Is it growing lag without a clear query culprit?
- Is is locks?
- How do I know which it is?
You need a baseline
Once you know what system metric you are mostly bound to, you need to establish baseline and peak values. Otherwise, determining whether your current issue is a bug vs real growth is going to be a lot more error prone than you’d like.
Basic server metrics can only go so far but at some point you will find you also need context based metrics. Query performance and app side perceived performance will tell you what the application sees as a response time to queries.
Learn your business traffic patterns
Are you a business that is susceptible to peaks in specific weekdays (marketing)? do you have regular launches that triple or quadruple your traffic like gaming? These sorts of questions will drive how much of reserved headroom you should keep or whether you need to invest in elastic growth.
Determine the ratio of raw traffic numbers in relation to capacity in use
This is simply the answer to “If we made no code optimizations, how many emails/sales/whatever” can we serve with the database instance we have right now?
Ideally, this a specific value that makes the math towards planning a year’s growth a simple math equation. But life is never ideal and this value will vary depending on season or completely external happy factors like signing up a new major customer. In early startups this number is a faster moving target but it should stabilize as the company transitions from early days to more established business with more predictable business growth patterns.
Do I really need to buy more machines?
You need to find a way to determine if this is truly capacity (I need to split the writes to support more concurrent write load or add more read replicas) vs code based performance bottleneck (this new query can really have its results cached in something cheaper and not beat the database as much).
How do you do that? You need to get familiar with your queries. The baby step for that is a combination of innotop, slow log and the percona toolkit’s pt-query-digest. You can automate this by shipping the DB logs to a central location and automating the digest portion.
But that is also not the entire picture, slow logs are performance intensive if you lower their threshold too much. If you need less selective sampling you will need to detect the entire conversations between the application and the datastore. In open source land you can go as basic as tcpdump or you can use hosted products like datadog, newrelic or vivid cortex.
Make a call
Capacity planning can be 90% science and 10% art but that 10% shouldn’t mean that we shouldn’t strive for as much of the picture as we can. As engineers we can sometimes fixate on the missing 10% and not realize that if we did the work, that 90% can get us v far into a better idea of our stack’s health, a more efficient use of our time optimizing performance and planning capacity increases carefully which eventually results in much better return on investment for our products.


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--- layout: page title: About header-img: "img/about-bg.png" ---
Degree in Philosophy. Background as a chef and humanitarian worker.


For this week’s assignment I created a Goal to track with a funnel using Google Analytics to measure how many users I could get to follow a specific link to a different page on my blog. This is referred to as a destination goal.
The Process:
To do this, I created a ‘Pandas’ blog post, and filled it with 3 totally adorable images of pandas. Because who really couldn’t use some panda pictures to brighten their day? After the page was created, I linked it to my blog homepage (here) in a caption box that says “Click here to see pictures of Pandas”.
Once the page was created and linked, I began setting up the Goal tracking in Google Analytics. I used a custom template, gave the Goal the name of “Click on Pandas”, chose “Destination” as the type and set it to the pandas page:
As you can see above, I also set a value to the goal (for fun) then added a funnel to the goal. Funnels track the steps a user must take in order to complete the goal action. For mine, I created a link within this post for users to click on, which would take them to my homepage where they could follow the pandas link.
The Results:
It took a bit of tinkering, but I knew everything was set up correctly because I was able to see tracking information show up in my Goal Conversion report from me clicking around on my phone and computer:
Please disregard the "Pandas" goal, I created it after having some difficulty getting the "Click on Pandas" goal working and have since turned off recording for it.
Through the Funnel Visualization report below, I was able to confirm that the path I chose to bring users to complete the goal was in fact working properly:
In Conclusion:
The Goals, Events and Funneling tools all seem very valuable for people and businesses to track how users are coming through their site, as well as at gauging how effective their website is at directing users to complete their goals such as completing a purchase, downloading a file, or signing up for a mailing list.


| Property | Defined by | ||
|---|---|---|---|
| _defaultClass : String | PieceFactory | ||
| _listeners : Map | PieceFactory | ||
| _pieceClasses : Map | PieceFactory | ||
| _pieceMap : Map | PieceFactory |
| Method | Defined by | ||
|---|---|---|---|
|
PieceFactory(xml:XML)
| PieceFactory | ||
|
addEventListener(eventName:String, callback:Function):void
| PieceFactory | ||
|
deletePiece(p:Piece):void
| PieceFactory | ||
|
getClassName(shortName:String):String
Given the short classname provided by getShortPieceClasses(), returns the cooresponding
fully qualified class name.
| PieceFactory | ||
| PieceFactory | |||
|
getPieceClasses():Array
Returns an array of fully qualified class names for piece classes.
| PieceFactory | ||
|
getPieceDefs():Array
| PieceFactory | ||
|
getShortPieceClasses():Array
Returns an array of just the class name for piece classes.
| PieceFactory | ||
|
initPieceClasses():void
| PieceFactory | ||
| PieceFactory | |||
|
removeEventListener(eventName:String, callback:Function):void
| PieceFactory | ||
|
toXML():XML
| PieceFactory | ||
| PieceFactory |
| Method | Defined by | ||
|---|---|---|---|
|
addPieceClass(piece:Piece, isDefault:Boolean = false):void
| PieceFactory | ||
|
sendEvent(eventName:String, type:String, xmldef:XML):void
| PieceFactory |
| Constant | Defined by | ||
|---|---|---|---|
| PIECE_ADDED : String = "added" [static]
| PieceFactory | ||
| PIECE_REMOVED : String = "removed" [static]
| PieceFactory | ||
| PIECE_UPDATED : String = "updated" [static]
| PieceFactory |
| _defaultClass | property |
protected var _defaultClass:String
| _listeners | property |
protected var _listeners:Map
| _pieceClasses | property |
protected var _pieceClasses:Map
| _pieceMap | property |
protected var _pieceMap:Map
| PieceFactory | () | constructor |
public function PieceFactory(xml:XML)
Parameters
xml:XML |
| addEventListener | () | method |
public function addEventListener(eventName:String, callback:Function):void
Parameters
eventName:String |
|
callback:Function |
| addPieceClass | () | method |
protected function addPieceClass(piece:Piece, isDefault:Boolean = false):void
Parameters
piece:Piece |
|
isDefault:Boolean (default = false )
|
| deletePiece | () | method |
| getClassName | () | method |
public function getClassName(shortName:String):String
Given the short classname provided by getShortPieceClasses(), returns the cooresponding fully qualified class name.
ParametersshortName:String |
String |
| getPiece | () | method |
| getPieceClasses | () | method |
public function getPieceClasses():Array
Returns an array of fully qualified class names for piece classes.
ReturnsArray |
| getPieceDefs | () | method |
public function getPieceDefs():Array
Returns
Array |
| getShortPieceClasses | () | method |
public function getShortPieceClasses():Array
Returns an array of just the class name for piece classes.
ReturnsArray |
| initPieceClasses | () | method |
public function initPieceClasses():void
| newPiece | () | method |
| removeEventListener | () | method |
public function removeEventListener(eventName:String, callback:Function):void
Parameters
eventName:String |
|
callback:Function |
| sendEvent | () | method |
protected function sendEvent(eventName:String, type:String, xmldef:XML):void
Parameters
eventName:String |
|
type:String |
|
xmldef:XML |
| toXML | () | method |
public function toXML():XML
Returns
XML |
| updatePiece | () | method |
| PIECE_ADDED | constant |
public static const PIECE_ADDED:String = "added"
| PIECE_REMOVED | constant |
public static const PIECE_REMOVED:String = "removed"
| PIECE_UPDATED | constant |
public static const PIECE_UPDATED:String = "updated"


Medal Map
Interactive Heat Map to visualise the allocation of medals at the London 2012 Olympics
Hover over the map to view additional information about the countries
Customise the map by selecting a continent from the drop-down menu below
Total Number of medals awarded: 962


The Russian Academy of Sciences (RAS), the V.A. Trapeznikov Institute of Control
Sciences of RAS (ICS RAS, Russia, Moscow), the Peoples’ Friendship University of
Russia (RUDN, Russia, Moscow), the National Research Tomsk State University (NR
TSU, Russia, Tomsk), and the Institute of Information and Communication
Technologies of Bulgarian Academy of Sciences (Bulgaria, Sofia) jointly organize the
22-nd International Conference on
DISTRIBUTED COMPUTER AND COMMUNICATION NETWORKS:
CONTROL, COMPUTATION, COMMUNICATIONS (DCCN-2019)
The DCCN-2019 conference is supported by the Moscow department of the
IEEE Region 8 Russia section and will take place in Moscow, Russia,
on 23-27 September, 2019.


{% extends 'base.html' %} {% block title %}{{ block.super }}Change Password{% endblock %} {% block navbar %}{% endblock navbar %} {% block container %} {% if validlink %}
The password reset link was invalid, possibly because it has already been used. Please request a new password reset.
{% endif %} {% endblock %} {% block footer %}{% endblock %}


A task came up in Google Code-in which asked me to install the django-netjsonconfig module by OpenWISP. Furthermore, I’m also supposed to share the challenges I faced during the set-up process as a sort of feedback. I’ll be trying be concise in this post so, without further ado, I’m beginning with this post.
Installing “django-netjsonconfig”
The installation instructions for this this module have been well-documented on its GitHub repository. So I began the installation by creating a Python 2.7 Virtual Environment using python2 -m virtualenv py2
for the sake of cleanliness on my local machine. I chose python2
for since for this since I was also on the lookout for bugs in the module and most of the bugs seem to be related with it since it’s a bit outdated now.
I then activated the virtualenv
and started entering the installation commands according to the instructions in the repository. Everything went on smoothly until the python setup.py develop
command. I got an error as shown in the below picture.
Clearly, the error suggests that Django v2.0.1 was being downloaded which isn’t supported by Python 2.7. A bit of browsing led me to the conclusion that the setup.py
needed to be modified to download older Django versions for Python 2.7. So, I added a simple if-else
block to the django installation statement as shown in the picture.
If you’re curious about my fix, this is the link.
Here, what’s being done is basically:
- Detect
python
version used for installation usingsys.version_info[0]
. - Install older Django versions if
sys.version_info[0]<3
, that ispython2
is detected. - Install latest version if above condition isn’t satisfied, that is
python3
is detected.
I also had to remove the django installation line from requirements.txt
since setup.py
was fetching the requirement names from there. After applying this fix, I re-ran the python setup.py develop
command and there it was! The sweet smell of success. Now an older yet python2 compatible version of Django was being installed when using python2
as clearly shown in one of the pictures below:
After this, I installed some more requirements using pip install -r requirements-test.txt
This was how I’d finished installing django-netjsonconfig
using Python2. Now all that was left to do was to to do the migrations and run the server.
Making Migrations and Creating a superuser
By referring to the instructions on the repo again, I opened the tests
directory,
did the migrations using ./manage.py migrate
. It was really satisfying to see all the CLI responses coloured in green. 😄
After that, there was the superuser creation using ./manage.py createsuperuser
.
Running the Test Server
I started the test server using ./manage.py runserver
and it was successful.
I could also now visit the server at http://localhost:8000/admin.
Conclusion
So, that’s how I installed the django-netjsonconfig module. Also, I’ve commited my fixes to my forked repo here. Here’s the link to my pull request. That concludes this post.


Espresso Time!
Espresso Boiler:
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Set daily time to turn on machine:
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News story
Apprentices from UK Atomic Energy Authority met with John Howell OBE, MP, to be congratulated on winning apprentice team of the year 2016.
UK Atomic Energy Authority (UKAEA) were crowned the winners of the Brathay Apprentice Challenge in June following a testing five-month challenge that saw them compete against teams from the country’s leading apprentice employers and training providers.
John Howell OBE, MP, Brathay Trust and the National Apprenticeship Service met with the apprentices on College Green to congratulate them on their efforts. The apprentices were then taken on a tour of the House of Commons.
The Brathay Apprentice Challenge is the search for the apprentice team of the year and supported by the National Apprenticeship Service. In 2016, the challenge teams visited nearly 400 schools, career fairs and youth groups to discuss apprenticeships and recruited over 400 new employers to offer apprenticeships as part of the Challenge. The apprentice teams have also reached out to their local communities and delivered 45 community projects to benefit young people.
The logistical and teambuilding finale held at Brathay Trust’s headquarters tested the teams’ individual and group strength, both mentally and physically, and developed their leadership, team building and communication skills.
UKAEA narrowly beat HMRC Digital Newcastle into second place and HSBC who finished third. Teams from Apprenticeships Norfolk Network, Hampshire County Council, HMRC Surge and Rapid Response Team, IBM and QinetiQ also competed in the national finals.
UKAEA Team leader and Electronic Engineering apprentice, David Godden, said:
It has been a privilege to be invited to meet with John Howell OBE, MP and come to Westminster today. We were ecstatic to have won the title of the apprentice team of the year and to have beaten the other 80 teams and 700 apprentices that entered the challenge.
The experience that the Brathay Apprentice Challenge has provided us with is one that will stay with us all forever, from volunteering with the Helen and Douglas House Hospice and taking part in a £35,000 fundraising drive, to recruiting employers and educating young people about apprenticeships.
We hope that winning the title will support our efforts to inspire young people and promote apprenticeships. Hard work, determination and self-confidence are key for success.
John Howell OBE, MP said:
I am delighted to have welcomed the team to Parliament and to have supported them throughout. They are absolutely brilliant and it was really inspiring that they won the challenge and are now the apprentice team of the year. I wish them luck for the future and look forward to UKAEA continuing their winning streak in the future years.
For more information on the annual Brathay Apprentice Challenge or to enter a team for 2017 please visit brathay.org.uk/challenge .
Published: 7 September 2016
From: Skills Funding Agency
Part of: Apprenticeships


--- layout: default title: Ariato --- image CSS elements/image.css figure Photo by NASA on Unsplash responsive picture Photo by NASA on Unsplash
CSS elements/image.css


---
layout: post
title: 50 people see their own shadow via flipzagging
date: '2007-11-29T08:35:23+00:00'
tags: []
tumblr_url: http://backlog.robbevan.com/post/20448281/50-people-see-their-own-shadow-via-flipzagging
---
50 people see their own shadow (via flipzagging)


Adjust the settings on the left, and preview the changes in realtime on the right. Once you're finished, click "Save" to commit the changes.


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Money Play. How should Red play 54?
pips Red=98 White=126
(CorrectAnswer= 0/0, ErrorScore= 0)
A pay me now, pay me later problem.
17/8 or 8/3, 6/2. White’s board is improving, and Red is running out of time. After 8/3, 6/2 both of Red’s outside points are stripped and the alarm bells should start ringing for him.
This points to 17/8 as the correct play and indeed it is. 8/3, 6/2 is an error. Pay now.
17/8 or 8/3, 6/2. White’s board is improving, and Red is running out of time. After 8/3, 6/2 both of Red’s outside points are stripped and the alarm bells should start ringing for him.
This points to 17/8 as the correct play and indeed it is. 8/3, 6/2 is an error. Pay now.
1. Cubeful 2-ply 8/3 6/2 Eq.: +0.313 0.607 0.085 0.000 - 0.393 0.071 0.001 2. Cubeful 2-ply 17/8 Eq.: +0.277 (-0.037) 0.574 0.111 0.002 - 0.426 0.057 0.001 3. Cubeful 2-ply 8/4 6/1 Eq.: +0.266 (-0.047) 0.592 0.082 0.000 - 0.408 0.077 0.000 4. Cubeful 2-ply 6/2 6/1 Eq.: +0.212 (-0.101) 0.578 0.083 0.000 - 0.422 0.089 0.001 5. Cubeful 0-ply 8/4 8/3 Eq.: +0.186 (-0.127) 0.562 0.101 0.001 - 0.438 0.094 0.001


About Pharos
Pharos is the user interface to the Knowledge Management Center (KMC) for the Illuminating the Druggable Genome (IDG) program funded by the National Institutes of Health (NIH) Common Fund. (Grant No. 1U24CA224370-01). The goal of KMC is to develop a comprehensive, integrated knowledge-base for the Druggable Genome (DG) to illuminate the uncharacterized and/or poorly annotated portion of the DG, focusing on four of the most commonly drug-targeted protein families: G-protein-coupled receptors (GPCRs); nuclear receptors (NRs); ion channels (ICs); and kinases. For more information on opportunities in the druggable human genome see this poster
Based on modern web design principles the interface provides facile access to all data types collected by the KMC. Given the complexity of the data surrounding any target, efficient and intuitive visualization has been a high priority, to enable users to quickly navigate & summarize search results and rapidly identify patterns. A critical feature of the interface is the ability to perform flexible search and subsequent drill down of search results. Underlying the interface is a RESTful API that provides programmatic access to all KMC data, allowing for easy consumption in user applications.
The Help page provides more information on various topics.
For feedback and comments, please contact us at
pharos@@mail.nih.gov
Who's involved?
Pharos is developed at NCATS, together with collaborators from the University of New Mexico, Icahn School of Medicine, Mount Sinai, EMBL-EBI, the Novo Nordisk Foundation Center for Protein Research (U. Copenhagen) and the University of Miami.
The IDG TechDev network is the experimental side of IDG. TechDev research aims to develop and utilize technologies and streamlined experimental workflows for functional studies of poorly characterized and/or un-annotated genes and proteins, thereby providing high value data and knowledge for KMC. KMC in turn is tasked with providing guidance as to research priorities based on knowledge gaps and druggability likelihood analyses.
To find more details on our collaborators visit http://targetcentral.ws/
What data is available?
The data available in Pharos is obtained from the Target Central Resource Database which integrates data from a variey of data sources including the Harmonizome, Jensen Lab datasets, EBI data sets (such as ChEMBL) and the Drug Target Ontology (DTO) from U. Miami. TCRD integration methodology involves importation by value or by reference to external sources, as informed by performance, provenance, and other design criteria. See here for a full listing of datasets incorporated in to TCRD.
The key data types represented in Pharos are listed below:
Small molecule data
including approved drug data, bioassay dataProtein data
including protein-protein interaction dataDisease data
from OMIM and Disease OntologyGenomic data
including expression (protein, RNA), transcription factors and epigenomic associationsPhenotypic data
including mouse phenotypes, mouse/human orthologs and GWAS resultsFunding data
via NIH RePORTERText data
including GeneRIF's and text-mined publicationsOntologies
including the Drug Target Ontology, Disease Ontology, PANTHER and GO.Where can I download all the data from?
The current and past versions of TCRD are available from here
What license does Pharos use?
All data accessed from Pharos is made available under the CC BY-SA 4.0 license.
Where can I get the code?
The sources for the Pharos web interface are available from https://spotlite.nih.gov/ncats/pharos. The repository provides instructions on building and installation
How can I cite Pharos?
If you use Pharos, please consider citing it as
Nguyen, D.-T., Mathias, S. et al, "Pharos: Collating Protein Information to Shed Light on the Druggable Genome", Nucl. Acids Res.i>, 2017, 45(D1), D995-D1002. DOI: 10.1093/nar/gkw1072


How many COVID tests were positive in the nursing homes on June 19, 2020, as well as how many tests were positive in the same town on the same day?
Will show the total number of positive in the nursing homes on June 19, 2020 and the total number of positive tests in the same town on the same day:
How many totals of deaths occurs in Hamden on June 11, 2020, in whole Town compared to total deaths number in Nursing homes in the same town on the same date?
Will show the total amount deaths in Hamden on June 11, 2020 compared to Nursing homes' death in Hamden:
List all the nursing homes between May 1st, 2020, and May 31st, 2020, that had more than 50 Positive COVID tests.
Will show the list of all the nursing homes between May 1st, 2020, and May 31st, 2020 with more than 50 Positive COVID tests :


Personal Informations :
Profile Pictures :
(Only Face)
(Full Body)
(Family Picture)
(Any)
4Feet 1inch / 121.92cm
4Feet 2inch
4Feet 3inch
4Feet 4inch
4Feet 5inch
8Feet 6inch
Nationality :
Bangladesh
UK/US
Dual
Bangladesh
UK/US
Dual
Bangladesh
UK/US
Dual
Language :
Bangla
English
Hindi
National ID :
Passport No :
Driving Licence :
Facebook Profile Link :
Present Address :
Permanent Address :
Educational Informations :
Education
1
Add New


WHO IS BRIGHT
Bright is a person who really loves what he does because it is what keeps him going
I TEACH AND CHOREOGRAPH DANCE
I teach proffesional dance choreographies across diffrent communitie.
I now currently work with kids ,I do kids dance choreos.
some of the groups i have worked with include the following..
- The Dancehall furniture movement.
- Bereans dance crew kenya
- Coffee ministry organisation
- Kibera pride home for the orphans
- Undugu family of hope
- Angaza kids foundation


Subnational Biodiversity Strategies and Action Plans (SBSAPs)
Increasingly,
Subnational Biodiversity Strategies and Action Plans (SBSAPs) are being developed at state/provincial/territorial, local and cities levels. Greater attention is also being given to the development of
Regional (supranational) Biodiversity Strategies and Action Plans (RBSAPs)
Decentralized planning serves as an effective support mechanism for implementing COP-10 decision X/2 and decision X/22 on, respectively, the Strategic Plan for Biodiversity (2011-2020) and the Plan of Action on Subnational Governments, Cities and Other Local Authorities for Biodiversity (2011-2020).
SBSAPs prepared by countries at subnational, local and cities levels, as well as information on activities being undertaken in this regard, are provided below where available.
CBD Capacity Building Module B-8
Biodiversity Planning for States, Provinces, Cities and Other Local Authorities: How to Develop a Subnational Biodiversity Strategy and Action Plan
Download the English module
Download the French module
Download the Spanish module
SBSAPs
Australia
Brazil
Canada
China
Colombia
France
India
-
State of Arunachal Pradesh
-
State of Kerala
-
State of Madhya Pradesh
Ireland
Japan
Mexico
Micronesia (Federated States of)
Namibia
New Zealand
Peru
Portugal
Singapore
South Africa
United Kingdom


HOW TO SEARCH
Searching
for a Surname? Given name? Place? Address? E-mail address? A word? A
combination of words?
You
can search this file or any other file on this web site by following the steps
below:
1.
Go to the file you wish to search -- for example, Home Page,
Directions, Database, Wills, or any other file or page on this website.
2.
You can place your cursor anywhere on the web page you like (it doesn t
matter where as long as it is on the page you want to search) -- then press
"Control" and "F" and release. (That is, press
"Ctrl-F") Be sure to press
the "CTRL" key first and hold it down while you press the
"F" key (without the quote marks).
A window will open with a blank box in which you can type the name, word
or words, number or any combination thereof, for which you wish to search. [Hint:
It is best to keep the number of words or numbers as short/small as
possible. But select what you type to
be as unique as possible. For example,
if you want to search for Mary Uniqua Jones, use the middle name, Uniqua, since
there is likely to be only one such name on the page you are searching. If you use Mary or Jones, there may be many
since they are common names. If you use
the full name, Mary Uniqua Jones, it will certainly find the person for whom
you are searching, but you are likely to miss her if her name appears as Mary
Jones or Uniqua Jones.]
3.
Type the name, number or word or combinations of words or names into
the blank box and click on "Find Next."
4.
Click again on the "Find Next" button to find the second and
subsequent occurrences of the name or word or combinations of words typed into
the blank box.
Remember
that the computer program will search for exactly what you type into the blank box
so be sure that you spell the name or word correctly. Also, if you are searching for a name that might be listed in
different ways (for example, Mary Elizabeth Jones may be listed, Mary Jones or
Mary E. Jones, Elizabeth Jones, or M. Elizabeth Jones or Eliz Jones or Liz
Jones or M.L. Jones or some other way) you may want to repeat your search using
several different combinations. Also,
you may wish to look for just "Jones" and look at each occurrence of
the Jones name to find your specific name (or word combination).
Click here for the Short-Cut Table of Contents


My Perspective
Explanation of my development process.
Discussion of my SEO integration and site optimization
simple binary converter
bubble sort


| Top |
| void | failed | Run Last |
| void | failed-with-tls-errors | Run Last |
| void | finished | Run Last |
| void | received-data | Run Last |
| void | sent-request | Run Last |
A WebKitWebResource encapsulates content for each resource at the end of a particular URI. For example, one WebKitWebResource will be created for each separate image and stylesheet when a page is loaded.
You can access the response and the URI for a given
WebKitWebResource, using webkit_web_resource_get_uri()
and
webkit_web_resource_get_response()
, as well as the raw data, using
webkit_web_resource_get_data()
.
const gchar *
webkit_web_resource_get_uri (WebKitWebResource *resource
);
Returns the current active URI of resource
. The active URI might change during
a load operation:
When the resource load starts, the active URI is the requested URI
When the initial request is sent to the server, “sent-request” signal is emitted without a redirected response, the active URI is the URI of the request sent to the server.
In case of a server redirection, “sent-request” signal is emitted again with a redirected response, the active URI is the URI the request was redirected to.
When the response is received from the server, the active URI is the final one and it will not change again.
You can monitor the active URI by connecting to the notify::uri
signal of resource
.
WebKitURIResponse *
webkit_web_resource_get_response (WebKitWebResource *resource
);
Retrieves the WebKitURIResponse of the resource load operation.
This method returns NULL
if called before the response
is received from the server. You can connect to notify::response
signal to be notified when the response is received.
void webkit_web_resource_get_data (WebKitWebResource *resource
,GCancellable *cancellable
,GAsyncReadyCallback callback
,gpointer user_data
);
Asynchronously get the raw data for resource
.
When the operation is finished, callback
will be called. You can then call
webkit_web_resource_get_data_finish()
to get the result of the operation.
resource |
||
cancellable |
a GCancellable or |
[allow-none] |
callback |
a GAsyncReadyCallback to call when the request is satisfied. |
[scope async] |
user_data |
the data to pass to callback function. |
[closure] |
guchar * webkit_web_resource_get_data_finish (WebKitWebResource *resource
,GAsyncResult *result
,gsize *length
,GError **error
);
Finish an asynchronous operation started with webkit_web_resource_get_data()
.
resource |
||
result |
||
length |
return location for the length of the resource data. |
[out][allow-none] |
error |
return location for error or |
“response”
property“response” WebKitURIResponse *
The WebKitURIResponse associated with this resource.
Flags: Read
“uri”
property“uri” gchar *
The current active URI of the WebKitWebResource.
See webkit_web_resource_get_uri()
for more details.
Flags: Read
Default value: NULL
“failed”
signalvoid user_function (WebKitWebResource *resource, GError *error, gpointer user_data)
This signal is emitted when an error occurs during the resource load operation.
resource |
||
error |
the GError that was triggered |
|
user_data |
user data set when the signal handler was connected. |
Flags: Run Last
“failed-with-tls-errors”
signalvoid user_function (WebKitWebResource *resource, GTlsCertificate *certificate, GTlsCertificateFlags errors, gpointer user_data)
This signal is emitted when a TLS error occurs during the resource load operation.
resource |
||
certificate |
||
errors |
a GTlsCertificateFlags with the verification status of |
|
user_data |
user data set when the signal handler was connected. |
Flags: Run Last
Since: 2.8
“finished”
signalvoid user_function (WebKitWebResource *resource, gpointer user_data)
This signal is emitted when the resource load finishes successfully or due to an error. In case of errors “failed” signal is emitted before this one.
Flags: Run Last
“received-data”
signalvoid user_function (WebKitWebResource *resource, guint64 data_length, gpointer user_data)
This signal is emitted after response is received, every time new data has been received. It's useful to know the progress of the resource load operation.
resource |
||
data_length |
the length of data received in bytes |
|
user_data |
user data set when the signal handler was connected. |
Flags: Run Last
“sent-request”
signalvoid user_function (WebKitWebResource *resource, WebKitURIRequest *request, WebKitURIResponse *redirected_response, gpointer user_data)
This signal is emitted when request
has been sent to the
server. In case of a server redirection this signal is
emitted again with the request
argument containing the new
request sent to the server due to the redirection and the
redirected_response
parameter containing the response
received by the server for the initial request.
resource |
||
request |
||
redirected_response |
a WebKitURIResponse, or |
|
user_data |
user data set when the signal handler was connected. |
Flags: Run Last


A visual control capable of displaying bitmap images.
TCustomImage32 is a base class for TImage32. In addition to TCustomPaintBox32 behavior, it contains an easy-manageable bitmap and a collection of layers.
It introduces several properties to determine how the bitmap image is displayed within the boundaries of the control.
For more information on how to use TCustomImage32 and its descendants, see Using TImage32.
[See Also] Image32 Example, ImgView and Layers Example, Sprites Example


A very easy to use Youtube Data v3 API wrapper.
Want to access data from the YouTube Data v3 API? Want a Node.js YouTube API wrapper with typings, promises, and caching? No problem!
npm i popyt
Want to access data from the YouTube Data v3 API? Want a Node.js YouTube API wrapper with typings, promises, and caching? No problem!
npm i popyt
First of all, I recommend that you check out the documentation for all of the methods and what they return.
This wrapper does not implement every feature of the YouTube API. With a single developer working on it, there just isn't time for everything to be implemented. Some of the objectively most-important features have been added. The limits
imposed by the wrapper are not imposed by YouTube.
All public video endpoints (searching, public data such as likes & view count, and more) have been added.
All public channel endpoints (searching, public data such as subscribers & videos, and more) have been added.
All public playlist endpoints (searching, public data such as videos & view count, and more) have been added.
popyt has no dependencies, making it a lightweight addition to any project. There is no reason to not use it, since it doesn't have a dependency tree at all.
I was inspired to create popyt for a number of reasons. The most obvious reason was that I couldn't find a well-maintained, well-coded project that suited my needs. I was coding music features for a Discord bot.