| Internet Engineering Task Force | C. Kappestein, Ed. |
| Internet-Draft | September 17, 2017 |
| Intended status: Informational | |
| Expires: March 21, 2018 |
JSON Schema Code: JSON Schema rules to simplify code generation
draft-kappestein-json-schema-code-00
JSON Schema provides many ways to describe a JSON structure. The price of this flexibility is that it is difficult for code generators to understand a JSON Schema. This specification restricts the JSON Schema keywords to a subset with a deterministic behaviour.
This Internet-Draft is submitted in full conformance with the provisions of BCP 78 and BCP 79.
Internet-Drafts are working documents of the Internet Engineering Task Force (IETF). Note that other groups may also distribute working documents as Internet-Drafts. The list of current Internet-Drafts is at https://datatracker.ietf.org/drafts/current/.
Internet-Drafts are draft documents valid for a maximum of six months and may be updated, replaced, or obsoleted by other documents at any time. It is inappropriate to use Internet-Drafts as reference material or to cite them other than as "work in progress."
This Internet-Draft will expire on March 21, 2018.
Copyright (c) 2017 IETF Trust and the persons identified as the document authors. All rights reserved.
This document is subject to BCP 78 and the IETF Trust's Legal Provisions Relating to IETF Documents (https://trustee.ietf.org/license-info) in effect on the date of publication of this document. Please review these documents carefully, as they describe your rights and restrictions with respect to this document. Code Components extracted from this document must include Simplified BSD License text as described in Section 4.e of the Trust Legal Provisions and are provided without warranty as described in the Simplified BSD License.
This vocabulary restricts the JSON Schema Validation keywords to a clear subset which removes ambiguities and inherent invalid schemas.
If a JSON Schema follows these rules it is easier for processors and code generators to consume. This leads to better results and maintainability of a schema.
This specification should be seen as extension to the JSON Schema draft-wright-json-schema-validation-00 specification.
The key words "MUST", "MUST NOT", "REQUIRED", "SHALL", "SHALL NOT", "SHOULD", "SHOULD NOT", "RECOMMENDED", "MAY", and "OPTIONAL" in this document are to be interpreted as described in RFC 2119.
The terms "JSON", "JSON text", "JSON value", "member", "element", "object", "array", "number", "string", "boolean", "true", "false", and "null" in this document are to be interpreted as defined in RFC 7159.
This document describes the JSON Schema restriction rules and all available validation keywords and their corresponding behaviour. It contains also a JSON Schema to validate whether a JSON Schema complies to these rules.
In the JSON Schema core specification all keywords are optional and are applied in context with the actual data. The idea of this specification is to build schemas which have a distinct meaning independent of the actual data and which can be used to generate different representations i.e. model classes of a specific programming language. Because of this we must restrict existing keywords and must make specific keywords mandatory depending on the context.
In this specification every schema is exactly assigned to a specific type of schema: Definition, Combination or Reference. The distinction is made based on the used keywords.
A definition schema is a schema which describes a concrete type. It must follow the rules:
A combination schema combines multiple schemas in a specific way. It must follow the rules:
A reference schema makes a reference to another schema. It must follow the rules:
The following keywords are not supported. Not supported means that they have no special meaning in this specification and code generators should ignore those keywords.
This specification restricts the usage of the validation keywords. Which keywords are allowed depends on the schema type.
The following chapter lists all available keywords and describes the concrete behaviour.
If not otherwise noted the behaviour of a keyword is identical to the JSON Schema validation specification.
The following keywords can be used to describe a definition schema.
The following keywords can be used in any definition schema:
The value of this keyword MUST be a string. Should only contain the characters "A-Z", "a-z" and "_".
Should be a distinct word which represents this schema, may be used to generate i.e. class names or other identifiers.
Schemas with the same title should represent the same constraints since a processor could merge multiple schemas and thus remove duplicate schemas.
The value of this keyword MUST be a string.
Contains a general description of this property. Should only contain simple text and no line breaks since the description is may be used in code comments or other character sensitive environments.
The value of this keyword MUST be a string.
String values MUST be one of the six primitive types ("boolean", "object", "array", "number", or "string"), or "integer" which matches any number with a zero fractional part.
If a schema has a "type" keyword which is "object" the following validation keywords can be used:
An object must be either a struct or map type. A struct object contains a set of fixed properties and a map object contains variable key value entries.
Each object type MUST have also a "title" keyword. The title may be used by a generator to determine a class name for a schema.
A struct is an object which MUST have at least a "type", "title" and "properties" keyword.
{ "title": "Person", "type": "object", "properties": { "forname": { "type": "string" }, "lastname": { "type": "string" } } }
A map is an object which MUST have at least a "type", "title" and "additionalProperties" keyword.
{ "title": "Config", "type": "object", "additionalProperties": { "type": "string" } }
If a schema has a "type" keyword which is "array" the following validation keywords can be used:
If a schema has a "type" keyword which is either "boolean", "number" or "string" the following validation keywords can be used:
In the context of code generation the "format" keyword gives a hint about the concrete data type of a property. While the JSON schema validation specification defines many formats this specification supports only the formats which are usable in the context of code generation. I.e. if the format is "date-time" a code generator could utilize the standard date class of the target programming language. A code generator should consider the following formats:
If a schema has a "type" keyword which is "boolean" no validation keywords are available.
If a schema has a "type" keyword which is either "number" or "integer" the following validation keywords can be used:
If a schema has a "type" keyword which is "string" the following validation keywords can be used:
The following keywords can be used to describe a combination schema:
The all of array should be used to express inheritance. The array should list the most generic definition at the first position of the array and the most specific definition at the bottom.
Through this code generators could implement inheritance alongside the array.
Also it is possible to aggregate all schemas into a single schema. Since the all of array can only contain schemas of type "object" it is clear that the result is also always an schema of type "object".
{ "allOf": [{ "$ref": "#/definitions/person" }, { "title": "teacher", "type": "object", "properties": { "classroom": { "type": "string" } } }] }
The following keywords can be used to describe a reference schema:
The following JSON Schema can be used to validate whether a JSON Schema follows these rules.
{ "description": "A strict JsonSchema meta schema to simplify code generation", "oneOf": [{ "$ref": "#/definitions/definition" }, { "$ref": "#/definitions/combination" }, { "$ref": "#/definitions/reference" }], "definitions": { "common": { "description": "Common properties which can be used in any schema", "title": "common", "type": "object", "properties": { "title": { "type": "string", "description": "Distinct word which represents this property, may be used to generate i.e. class names or other identifier" }, "description": { "type": "string", "description": "General description of this property" }, "type": { "type": "string", "description": "JSON type of the property", "enum": ["object", "array", "boolean", "integer", "number", "string"] }, "nullable": { "type": "boolean", "description": "Whether it is possible to use a null value on this property", "default": false }, "deprecated": { "type": "boolean", "description": "Whether this property is deprecated", "default": false } } }, "commonScalar": { "description": "Properties for scalar values", "allOf": [{ "$ref": "#/definitions/common" }, { "title": "scalar", "type": "object", "properties": { "format": { "type": "string", "description": "Describes the specific format of this type i.e. date-time or int64" }, "enum": { "type": "array", "description": "A list of possible enumeration values", "items": { "oneOf": [{ "type": "string" },{ "type": "number" }] }, "minItems": 1 } } }] }, "commonContainer": { "description": "Properties for object values", "allOf": [{ "$ref": "#/definitions/common" }, { "title": "container", "type": "object", "properties": { "title": { "type": "string", "description": "Distinct word which represents this property, may be used to generate i.e. class names or other identifier" }, "type": { "type": "string", "enum": ["object"] }, "required": { "$ref": "#/definitions/stringArray" } }, "required": ["title", "type"] }] }, "object": { "description": "An object represents either a struct or map", "oneOf": [{ "$ref": "#/definitions/objectStruct" }, { "$ref": "#/definitions/objectMap" }] }, "objectStruct": { "description": "A struct contains a fix set of defined properties", "allOf": [{ "$ref": "#/definitions/commonContainer" }, { "title": "struct", "type": "object", "properties": { "properties": { "type": "object", "additionalProperties": { "$ref": "#" } } }, "required": ["properties"] }] }, "objectMap": { "description": "A map contains variable key value entries", "allOf": [{ "$ref": "#/definitions/commonContainer" }, { "title": "map", "type": "object", "properties": { "additionalProperties": { "$ref": "#" }, "maxProperties": { "$ref": "#/definitions/positiveInteger" }, "minProperties": { "$ref": "#/definitions/positiveInteger" } }, "required": ["additionalProperties"] }] }, "array": { "description": "An array contains an ordered list of variable values", "allOf": [{ "$ref": "#/definitions/common" }, { "title": "array", "type": "object", "properties": { "type": { "type": "string", "enum": ["array"] }, "items": { "$ref": "#/definitions/arrayItem" }, "maxItems": { "$ref": "#/definitions/positiveInteger" }, "minItems": { "$ref": "#/definitions/positiveInteger" }, "uniqueItems": { "type": "boolean" } }, "required": ["type", "items"] }] }, "boolean": { "description": "Represents a boolean value", "allOf": [{ "$ref": "#/definitions/commonScalar" }, { "title": "boolean", "type": "object", "properties": { "type": { "type": "string", "enum": ["boolean"] } }, "required": ["type"] }] }, "number": { "description": "Represents a number value which contains also integer", "allOf": [{ "$ref": "#/definitions/commonScalar" }, { "title": "number", "type": "object", "properties": { "type": { "type": "string", "enum": ["number", "integer"] }, "multipleOf": { "type": "number", "minimum": 0, "exclusiveMinimum": true }, "maximum": { "type": "number" }, "exclusiveMaximum": { "type": "boolean", "default": false }, "minimum": { "type": "number" }, "exclusiveMinimum": { "type": "boolean", "default": false } }, "required": ["type"] }] }, "string": { "description": "Represents a string value", "allOf": [{ "$ref": "#/definitions/commonScalar" }, { "title": "string", "type": "object", "properties": { "type": { "type": "string", "enum": ["string"] }, "maxLength": { "$ref": "#/definitions/positiveInteger" }, "minLength": { "$ref": "#/definitions/positiveInteger" }, "pattern": { "type": "string", "format": "regex" } }, "required": ["type"] }] }, "allOf": { "description": "Combination keyword to validate all containing schemas", "allOf": [{ "$ref": "#/definitions/common" }, { "title": "allOf", "type": "object", "properties": { "allOf": { "$ref": "#/definitions/of" } }, "required": ["allOf"] }] }, "anyOf": { "description": "Combination keyword to validate any containing schemas", "allOf": [{ "$ref": "#/definitions/common" }, { "title": "anyOf", "type": "object", "properties": { "anyOf": { "$ref": "#/definitions/of" } }, "required": ["anyOf"] }] }, "oneOf": { "description": "Combination keyword to validate exactly one containing schemas", "allOf": [{ "$ref": "#/definitions/common" }, { "title": "oneOf", "type": "object", "properties": { "discriminator": { "$ref": "#/definitions/discriminator" }, "oneOf": { "$ref": "#/definitions/of" } }, "required": ["oneOf"] }] }, "discriminator": { "description": "Adds support for polymorphism. The discriminator is an object name that is used to differentiate between other schemas which may satisfy the payload description", "title": "discriminator", "type": "object", "properties": { "propertyName": { "type": "string", "description": "The name of the property in the payload that will hold the discriminator value" }, "mapping": { "type": "object", "description": "An object to hold mappings between payload values and schema names or references", "additionalProperties": { "type": "string" } } }, "required": ["propertyName"] }, "positiveInteger": { "description": "Positive integer value", "type": "integer", "minimum": 0 }, "stringArray": { "description": "Array string values", "type": "array", "items": { "type": "string" }, "minItems": 1 }, "of": { "description": "Combination values", "type": "array", "items": { "$ref": "#/definitions/objectOrReference" } }, "objectOrReference": { "description": "Object or reference value", "oneOf": [{ "$ref": "#/definitions/object" }, { "$ref": "#/definitions/reference" }] }, "arrayItem": { "description": "Allowed values of an array item", "oneOf": [{ "$ref": "#/definitions/object" }, { "$ref": "#/definitions/boolean" }, { "$ref": "#/definitions/number" }, { "$ref": "#/definitions/string" }, { "$ref": "#/definitions/reference" }] }, "definition": { "description": "Represents a concrete type definition", "oneOf": [{ "$ref": "#/definitions/object" }, { "$ref": "#/definitions/array" }, { "$ref": "#/definitions/boolean" }, { "$ref": "#/definitions/number" }, { "$ref": "#/definitions/string" }] }, "combination": { "description": "Represents a combination of schemas", "oneOf": [{ "$ref": "#/definitions/allOf" }, { "$ref": "#/definitions/anyOf" }, { "$ref": "#/definitions/oneOf" }] }, "reference": { "description": "Represents a reference to another schema", "title": "reference", "type": "object", "properties": { "$ref": { "type": "string" } }, "required": ["$ref"] } } }
| [RFC2119] | Bradner, S., "Key words for use in RFCs to Indicate Requirement Levels", BCP 14, RFC 2119, DOI 10.17487/RFC2119, March 1997. |
| [RFC3339] | Klyne, G. and C. Newman, "Date and Time on the Internet: Timestamps", RFC 3339, DOI 10.17487/RFC3339, July 2002. |
| [RFC3986] | Berners-Lee, T., Fielding, R. and L. Masinter, "Uniform Resource Identifier (URI): Generic Syntax", STD 66, RFC 3986, DOI 10.17487/RFC3986, January 2005. |
| [RFC6901] | Bryan, P., Zyp, K. and M. Nottingham, "JavaScript Object Notation (JSON) Pointer", RFC 6901, DOI 10.17487/RFC6901, April 2013. |
| [RFC7159] | Bray, T., "The JavaScript Object Notation (JSON) Data Interchange Format", RFC 7159, DOI 10.17487/RFC7159, March 2014. |
| [json-schema-validation] | Wright, A. and G. Luff, "JSON Schema Validation: A Vocabulary for Structural Validation of JSON", Internet-Draft draft-wright-json-schema-validation-00, October 2016. |
| [RFC7231] | Fielding, R. and J. Reschke, "Hypertext Transfer Protocol (HTTP/1.1): Semantics and Content", RFC 7231, DOI 10.17487/RFC7231, June 2014. |
Thanks to the JSON Schema and OpenAPI team and contributors.
[CREF1]This section to be removed before leaving Internet-Draft status.


Unit Testing
FuelPHP is built with automated unit testing in mind, and it includes tests and test classes based on the PHPUnit testing framework.
What is a Unit Test?
Unit Tests are automated tests written to make sure a unit of code (typically a function or method) is doing what it was designed to do. These tests also help developers to be sure any changes they make to a system do not break anything that is already working. Unit tests are also the key driving force behind the discipline of Test Driven Development (TDD).
PHPUnit
You'll need to have PHPUnit installed locally if you want to run the tests that ship with FuelPHP, and if you want to use Oil to run your tests. If you don't already have PHPUnit installed, please refer to the PHPUnit installation documentation at: http://www.phpunit.de/manual/current/en/installation.html.
If you aren't interested in running unit tests with FuelPHP, then there is no need for you to install PHPUnit.
Running Unit Tests
FuelPHP's included command-line utility Oil is already configured to run your unit tests. You can run all the tests in your FuelPHP project from the command line using the Oil command line utility:
$ php oil test
Tests Running...This may take a few moments.
PHPUnit 3.6.10 by Sebastian Bergmann.
Configuration read from /home/user/sites/example/fuel/core/phpunit.xml
............................................................... 63 / 251 ( 25%)
............................................................... 126 / 251 ( 50%)
............................................................... 189 / 251 ( 75%)
..............................................................
Time: 6 seconds, Memory: 22.25Mb
OK (251 tests, 206 assertions)
Creating Unit Tests
In FuelPHP, tests are located in the fuel/app/tests directory and its subdirectories. If this directory does not exist, go ahead and create it. By convention, test files are placed in the same subpath of fuel/app/tests as the tested class is of fuel/app/classes, so a test for the class at fuel/app/classes/model/login.php would be in the file fuel/app/tests/model/login.php.
Tests are classes that extend the TestCase class. TestCase is FuelPHP's extension of PHPUnit's PHPUnit_Framework_TestCase class, so you'll be able to use all the usual PHPUnit assertions and methods in your test. By convention, test classes are named after the class they test, prefixed with Test_, so a test for the Model_Login class would be named Test_Model_Login.
class Test_Model_Login extends TestCase
{
public function test_foo()
{
}
}
You can find further information about writing tests in the PHPUnit documentation at: http://www.phpunit.de/manual/current/en/writing-tests-for-phpunit.html.
Test Groups
If you want to run only a subset of tests during development, you
can use test groups. Run
php oil test
with the
--group=
command switch.
$ php oil test --group=App
This command will run only the tests in the group 'App'. You can assign a test class to one or more test groups with the docblock attribute @group.
/**
* @group App
* @group Login
*/
class Test_Model_Login extends TestCase
{
public function test_foo()
{
}
}
Advanced Configuration
If you need to customize the contents of the phpunit.xml file, copy fuel/core/phpunit.xml into the fuel/app directory. FuelPHP will recognize your new configuration file in place of the old one in fuel/core.
Unit Tests for Modules
If you're developing a large system in FuelPHP, the recommended practice is to develop in modules. But since module paths are configurable, the module paths must be configured in phpunit.xml in order for the tests to be recognized and run. For example, if you are developing modules in fuel/app/modules, you'll want to add this test suite to your phpunit configuration:
<testsuite name="modules">
<directory suffix=".php">../app/modules/*/tests</directory>
</testsuite>
Testing In A Renamed fuel/ Directory
If you've renamed your fuel directory to something else, the system variables (document root, core path, etc.) set in the phpunit.xml file have become bad references. While changes to the paths in the Oil script in your root will help with the other Oil commands, PHPUnit loads its own environment, so a renamed fuel directory will break testing. To fix this, edit the copy of phpunit.xml in your app/ directory and update the server variable paths to reflect your new file structure.


|
libcoap
4.3.0
|
API functions for interfacing with the observe handling (RFC7641) More...
Macros | |
| #define | COAP_OBSERVE_ESTABLISH 0 |
| The value COAP_OBSERVE_ESTABLISH in a GET/FETCH request option COAP_OPTION_OBSERVE indicates a new observe relationship for (sender address, token) is requested. More... | |
| #define | COAP_OBSERVE_CANCEL 1 |
| The value COAP_OBSERVE_CANCEL in a GET/FETCH request option COAP_OPTION_OBSERVE indicates that the observe relationship for (sender address, token) must be cancelled. More... | |
Functions | |
| void | coap_resource_set_get_observable (coap_resource_t *resource, int mode) |
Set whether a resource is observable. More... | |
| int | coap_resource_notify_observers (coap_resource_t *resource, const coap_string_t *query) |
Initiate the sending of an Observe packet for all observers of resource , optionally matching query if not NULL. More... | |
API functions for interfacing with the observe handling (RFC7641)
| #define COAP_OBSERVE_CANCEL 1 |
The value COAP_OBSERVE_CANCEL in a GET/FETCH request option COAP_OPTION_OBSERVE indicates that the observe relationship for (sender address, token) must be cancelled.
Definition at line 39 of file subscribe.h.
| #define COAP_OBSERVE_ESTABLISH 0 |
The value COAP_OBSERVE_ESTABLISH in a GET/FETCH request option COAP_OPTION_OBSERVE indicates a new observe relationship for (sender address, token) is requested.
Definition at line 32 of file subscribe.h.
| int coap_resource_notify_observers | ( | coap_resource_t * | resource, |
| const coap_string_t * | query | ||
| ) |
Initiate the sending of an Observe packet for all observers of resource
, optionally matching query
if not NULL.
| resource | The CoAP resource to use. |
| query | The Query to match against or NULL |
1
if the Observe has been triggered, 0
otherwise. | void coap_resource_set_get_observable | ( | coap_resource_t * | resource, |
| int | mode | ||
| ) |
Set whether a resource
is observable.
If the resource is observable and the client has set the COAP_OPTION_OBSERVE in a request packet, then whenever the state of the resource changes (a call to coap_resource_trigger_observe()), an Observer response will get sent.
| resource | The CoAP resource to use. |
| mode | 1 if Observable is to be set, 0 otherwise. |
Definition at line 1050 of file resource.c.


Brace expansion, as known from sh/bash, in JavaScript.
var expand = require('brace-expansion');
expand('file-{a,b,c}.jpg')
// => ['file-a.jpg', 'file-b.jpg', 'file-c.jpg']
expand('-v{,,}')
// => ['-v', '-v', '-v']
expand('file{0..2}.jpg')
// => ['file0.jpg', 'file1.jpg', 'file2.jpg']
expand('file-{a..c}.jpg')
// => ['file-a.jpg', 'file-b.jpg', 'file-c.jpg']
expand('file{2..0}.jpg')
// => ['file2.jpg', 'file1.jpg', 'file0.jpg']
expand('file{0..4..2}.jpg')
// => ['file0.jpg', 'file2.jpg', 'file4.jpg']
expand('file-{a..e..2}.jpg')
// => ['file-a.jpg', 'file-c.jpg', 'file-e.jpg']
expand('file{00..10..5}.jpg')
// => ['file00.jpg', 'file05.jpg', 'file10.jpg']
expand('{{A..C},{a..c}}')
// => ['A', 'B', 'C', 'a', 'b', 'c']
expand('ppp{,config,oe{,conf}}')
// => ['ppp', 'pppconfig', 'pppoe', 'pppoeconf']
var expand = require('brace-expansion');
Return an array of all possible and valid expansions of str
. If none are
found, [str]
is returned.
Valid expansions are:
/^(.*,)+(.+)?$/
// {a,b,...}
A comma seperated list of options, like {a,b}
or {a,{b,c}}
or {,a,}
.
/^-?\d+\.\.-?\d+(\.\.-?\d+)?$/
// {x..y[..incr]}
A numeric sequence from x
to y
inclusive, with optional increment.
If x
or y
start with a leading 0
, all the numbers will be padded
to have equal length. Negative numbers and backwards iteration work too.
/^-?\d+\.\.-?\d+(\.\.-?\d+)?$/
// {x..y[..incr]}
An alphabetic sequence from x
to y
inclusive, with optional increment.
x
and y
must be exactly one character, and if given, incr
must be a
number.
For compatibility reasons, the string ${
is not eligible for brace expansion.
With npm do:
npm install brace-expansion
(MIT)
Copyright (c) 2013 Julian Gruber<EMAIL_ADDRESS>Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
 IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.


[viewBag] title = "BetISN" url = "/partners/betisn" layout = "partner" is_hidden = 0 navigation_hidden = 1 meta_title = "BetISN" meta_description = "BetISN are a discreet bookmaker offering a large number of football events, competitive odds and high betting limits." previevImg = "/Partners/BetISN.jpg" previevText = "BetISN are a discreet bookmaker offering a large number of football events, competitive odds and high betting limits. Min stake size is 10CNY." ==
HIGHLIGHTS:
• Licensed and regulated by First Cagayan Leisure and Resort Corporation of the government of the Philippines with operations based in the Philippines
• Established in 2008
• Competitive Sportsbook focusing on Asian handicap football with often standout prices
• 100% settlement – You win 100% of your bet
• Provide fast settlement of events & fast pay-outs
• 5pts spreads (1.25% on top football leagues) – Ultra competitive and often best
• NOT so competitive on other markets
• Welcomes arbitrage players
ISN are a discreet bookmaker that offer a complete service with a large number of football events, competitive odds and high betting limits.
Compared other sportsbooks, the products on offer are limited and are weaker on sports other than football. They don’t offer an online casino. However, by focusing primarily on football and traded completely in-house, ISN does offer a decent alternative to the top 3 bookmakers. The website is easily accessible very user-friendly.
ISN have a very strong trading team with years of experience therefore as a punter you will often find their traders taking positions in games and hold their prices where others may follow the market. This also means they attract plenty of arbitrage activities, which they happily accept.


com.example.booktracker
Classes
App
AvailableRecyclerViewAdapter
AvailableRecyclerViewAdapter.MyViewHolder
Book
BookRecyclerViewAdapter
BookRecyclerViewAdapter.MyViewHolder
BookSearchActivity
CreateAccount
ExampleInstrumentedTest
ExampleUnitTest
FetchBook
MainActivity
MainActivityTest
MainScreen
NotificationMessage
RecyclerViewAdapter
RecyclerViewAdapter.MyViewHolder
ScanBarcodeActivity
SearchProfile


Derived from system configuration.Contains all build for the project.Contains all build records for the project.Clean before build?Clean after build?When empty, system default is used.Only numeric values are expected.Specify value in range 1 through {{maxBuilds}}.


{% extends "layout_bsa.html" %} {% block page_title %} Help paying for NHS Costs prototype {% endblock %} {% block content %} Back What do you need to tell us? What do you need to tell us? You've started paid work You’ve ended all paid work Change to an existing job {% endblock %}


Dalit man ‘forced to drink urine’ in Punjab
by Special CorrespondentThe Punjab State Scheduled Castes Commission on Friday sought a report from the police over the alleged incident of a Dalit man being beaten and forced to drink urine at Changaliwala village in Sangrur.
Tejinder Kaur, chairperson of the Commission, said that the details about the incident have been sought from Sangrur Senior Superintendent of Police.
“The Commission has come to know about the incident through newspapers and had taken suo moto notice of it,” she said in a statement.
The Sangrur police had booked three residents of Changaliwala village for allegedly forcing the victim to drink urine.


Regional council approves the development of over 600 affordable housing units over the next 10 years
It's part of a master plan which was approved at Wednesday's council meeting
by Casey MacDonaldRegional council has given the green light to create 638 affordable homes on five Waterloo Region Housing properties over the next 10 years.
It's part of a master plan which was approved at Wednesday's council meeting.
The master plan was developed over the last two years with the help of the community.
Over the past five years, over 200 new affordable housing units have been built through regional investments, with 92 units currently under construction and 61 in development.
The region will also form an innovation table early in the new year, which will include stakeholders from outside the housing sector in order to identify new ways to generate affordable housing.
Currently, Waterloo Region Housing owns and operates over 2700 community housing units in Waterloo Region.


|
Ignite Tools
|
The JSON parser class. More...
#import <UA_SBJsonParser.h>
Public Member Functions | |
| (id) | - objectWithString: |
| Return the object represented by the given string. | |
| (id) | - fragmentWithString: |
The JSON parser class.
JSON is mapped to Objective-C types in the following way:
Since Objective-C doesn't have a dedicated class for boolean values, these turns into NSNumber instances. These are initialised with the -initWithBool: method, and round-trip back to JSON properly. (They won't silently suddenly become 0 or 1; they'll be represented as 'true' and 'false' again.)
JSON numbers turn into NSDecimalNumber instances, as we can thus avoid any loss of precision. (JSON allows ridiculously large numbers.)


About: This site will document stuff I'm building at DBC. It's still under construction, but for now here are some links to blog posts:
About: This site will document stuff I'm building at DBC. It's still under construction, but for now here are some links to blog posts:


Gilt's Special Ops Team Has a Mini Offsite
Today Gilt’s Special Ops team worked remotely from my apartment so we could wait for a special UPS delivery.* Formed earlier this year, Special Ops handles end-to-end (email to desktop to mobile) projects that don’t fit under the umbrella of other product-driven teams. Since January we’ve worked on projects related to customer service, holiday, business development, mobile, push notifications, and more. At the moment, we are working to make the desktop experience responsive on the mobile device.
Here are our tips for successfully working remotely as a team:
Music:
Instrumental music is key. I live in Ira Gershwin’s former apartment, so we listened to Gershwin Plays Gershwin in the morning and then switched to Latin jazz in the afternoon.
Pro tip: No headphones.
Food:
We thought about leaving the apartment, but there was a possibility that UPS would attempt to deliver the package while we were gone. So, we chose Seamless with the goal of leaving the apartment after the package was delivered.
Pro tip: If you’re waiting for a package, don’t leave the apartment.
Meetings:
We hooked up Google Hangouts to a television in the room for our weekly review meeting. It’s too bad Kinect (cough Microsoft cough) doesn’t connect to Google Hangouts, but we still had a way to communicate with anyone and everyone as a group.
Pro tip: cough Microsoft cough
Location:
We’re right next to a park, so we celebrated the end of our UPS-inspired-offsite with a picnic with beers.
Pro tip: Don’t forget your Frisbee.
Gear:
Remember your charger, mouse, mouse pad, and–of course–the Jose special: a Starbucks grande iced coffee one pump classic with soy.

* The delivery was not a controlled substance but some nightstands. That’s right: Greg’s team went over to his house just so he could intercept his bedroom furniture. That’s some amazing team-building right there!–Lauri/Editor


Hamas Politburo Chief: Netanyahu Indictment Raises Palestinian Morale
by Hana Levi JulianHamas politburo chief Ismail Haniyeh told reporters in Rafah on Saturday that “the decision to indict [Prime Minister Benjamin] Netanyahu raises the morale of the Palestinian people,” according to a report by Asharq al-Awsat.
Haniyeh, who made the remarks at a groundbreaking ceremony for a new hospital in the city, said that serious corruption charges against the prime minister were a sign “of more steadfastness” for the Arabs, and added that the indictment would encourage more “resistance, both popular and armed.”
Israeli Attorney General Avichai Mandelblit announced Thursday that he intended to indict Netanyahu for fraud, breach of trust and accepting bribes.
Netanyahu Indicted on Bribery, Fraud and Breach of Trust
Netanyahu: Mandelblit Caved to State Attorney’s Pressure
The longest-serving prime minister in the history of the state will now also become the first sitting premier to face criminal charges.
Meanwhile, Netanyahu’s opponent, Blue and White faction leader Benny Gantz failed to form a government within the prescribed period of time, as had Netanyahu, and was forced to return the mandate to President Reuven Rivlin last Wednesday night.
First Time in History: Rivlin to Inform Knesset Speaker No Candidate Able to Form Government
The mandate was given to the Speaker of the Knesset on Thursday; if within 21 days an individual MK cannot muster enough support to form a coalition on his or her own, Israel will be sent back to the polls for an unprecedented third national election.


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java.lang.Object dxf2svg.LibCatUtil
This class is intended as a utility to manage LibraryCatalog.ser files. The class can perform 3 different types of jobs: it can output a catalog in XML, It can delete specific data from the database and it can merge two catalogs together.
Usage: java dxf2svg.LibCatUtil (options)
Convensions used: The LibraryCatalog.ser file is a serialization of a of a dxf2svg LibraryCatalog. The LibraryCatalog object stores FigureSheetDatabases and each FigureSheetDatabase holds an entire book's figures and sheet listing.
The catalog is the entire collection of books - also called the 'database'. The FigureSheetDatabases contain Vectors of information stored as Strings. These Strings contain the figure title in French and English, the spot calls etc.
This is done in a safe way that updates data in the destination catalog if the data exists in the source catalog and only records that are not part of the destination catalog are added from the source catalog.
The result of merging the source catalog with the destination catalog and then merging the destination catalog with the original source catalog will produce identical catalogs.
Output of any catalog can be facilitated with the '-x' switch which will make an XML version of the contents of the database.
Occasionally it may be necessary to delete information from the catalog. This can occur if the a converted DXF file has an incorrect figure number or sheet number. The new figure number (or sheet number) will be added but the old number will still remain, dirtying your data. To remove erroneous information use the '-d' switch. The '-d' switch can take as many as 4 additional arguments or as few as 2 additional arguments. The expected arguments are (in the case where they number 2) the actual serialized database - usually 'LibraryCatalog.ser' - and the book (NDID) you wish to delete. You will be asked to confirm all delete functions.
If you include three arguments, the last is assumed to be a figure number. A four argument list is assumed to have a specific sheet number to delete as its final argument.
In any case if the requested delete object is not found the database remains unchanged.
Typical Usage java dxf2svg.LibCatUtil -x LibraryCatalog.ser
java dxf2svg.LibCatUtil -d LibraryCatalog.ser "C-12-130-0G3/MF-002" "2-1-24"
| Field Summary | |
protected static int |
DELETE_BOOK
|
protected static int |
DELETE_FIGURE
|
protected static int |
DELETE_SHEET
|
protected static int |
MERGE_CATALOGS
|
protected static java.lang.String |
xmlOutputName
|
| Constructor Summary | |
LibCatUtil()
|
| Method Summary | |
protected static boolean |
actionConfirmed(int action)
Makes the user confirm dangerous actions like deleting books or figures from the catalog. |
protected static void |
deleteEntry(java.lang.String catalog,
java.lang.String book)
Deletes an entry from a namespace within the specified catalog. |
protected static void |
deleteEntry(java.lang.String catalog,
java.lang.String book,
java.lang.String figure)
Deletes an entry from a namespace within the specified catalog. |
protected static void |
deleteEntry(java.lang.String catalog,
java.lang.String book,
java.lang.String figure,
java.lang.String sheetNo)
Deletes a sheet from a figure within a book in a specified catalog. |
static void |
main(java.lang.String[] args)
|
protected static void |
makeXmlCatalog(java.lang.String catalog)
Outputs the entire catalog into an XML file called 'boardno-control.xml' if the -x switch is selected. |
protected static void |
mergeTwoCatalogs(java.lang.String catSrc,
java.lang.String catDest)
Merges two discreet LibraryCatalogs into one. |
protected static LibraryCatalog |
readCatalog(java.lang.String catalog)
Opens a library catalog and reads in the contents into the argument lib. |
protected static void |
serializeCatalog(java.lang.String name,
LibraryCatalog lib)
Writes the argument database to a FileOutputStream . |
protected static void |
usage()
Diplays usage message and exits with a status of -1. |
| Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Field Detail |
protected static final java.lang.String xmlOutputName
protected static final int DELETE_SHEET
protected static final int DELETE_FIGURE
protected static final int DELETE_BOOK
protected static final int MERGE_CATALOGS
| Constructor Detail |
public LibCatUtil()
| Method Detail |
public static void main(java.lang.String[] args)
protected static void deleteEntry(java.lang.String catalog, java.lang.String book)
book
- Name of book in library.catalog
- Name of the library to search.protected static void deleteEntry(java.lang.String catalog, java.lang.String book, java.lang.String figure)
figure
- Name of record to remove.book
- Name of book in library.catalog
- Name of the library to search.protected static void deleteEntry(java.lang.String catalog, java.lang.String book, java.lang.String figure, java.lang.String sheetNo)
sheetNo
- Number of the sheet you wish to remove from the figure.figure
- Name of record to remove.book
- Name of book in library.catalog
- Name of the library to search.protected static boolean actionConfirmed(int action)
true
if user is sure; false
if no sure.
java.io.IOException
- if an error occurs reading the users answer from STDIN.protected static void mergeTwoCatalogs(java.lang.String catSrc, java.lang.String catDest)
protected static void makeXmlCatalog(java.lang.String catalog)
protected static void usage()
protected static LibraryCatalog readCatalog(java.lang.String catalog)
java.io.IOException
java.io.FileNotFoundException
protected static void serializeCatalog(java.lang.String name, LibraryCatalog lib)
FileOutputStream
.
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Disputes between landlords and tenants are,unfortunately,quite common. They can arise due to innumerable reasons. The tenant may not agree to an increase in rent after a certain period. The landlord may interfere with the basic amenities or refuse repairs. You could go on forever and never run out of reasons that may lead to a dispute. Most of the disputes however can be avoided easily by having rent contract in place. So what's a contract?
A contract is an agreement enforceable by the law.
A rent contract is an express agreement that defines how the tenancy is to be carried out. The duration of the rent contract is same as the period of tenancy. As a tenant you lay down your expectations from the landlord and as a landlord you lay down the mode of conduct by the tenant. A rent contract generally contains the following clauses:-
This is kind of obvious but it will save you as a tenant or as a landlord many headaches. You put in writing the rent that is agreed upon by both the parties at the time of negotiation.
Many times the landlord may insist (to protect himself) upon the duration of the tenancy. This means you have got fix a time period that is agreeable to both of you after which the contract has to be renewed in order for the tenancy to continue. Suppose you fix in a period, of say 11 months, as the maximum time for which the contract will remain valid. You will be the tenant of your landlord for 11 months after which both you and your landlord will have to take a decision whether to continue to tenancy or to terminate it.
At what rate the rent of the property will be increased? This can be governed by many factors including the fluctuations in tax the local authorities levy, the change in prices of the property, an increase in the cost of living etc. If the primary source of the income of your landlord is the rent from his property it is wise to negotiate a rate at which the rent will be increased. So that during the period of your tenancy you have no problems with the rent that you pay.
As you are living in the premises it is quite natural that from everyday use the facilities provided to you may wear out. A socket on the wall may break. The water pipes may start to leak. Or a crack may manifest in the wall. So it is always a good practice to have in writing who bears the cost of repairing the facilities.
Personally I feel it is a good deal for both the parties if the small repairs like pipe leaks and broken sockets be repaired at the cost of the tenant where as the major repairment and maintenance costs like fresh paint or cracked walls be borne by the landlord.
Will you be using the property for residential purposes or for commercial purposes? While this may seem like a small issue many landlords will tell you anecdotes of "tenants from hell" who turned their property into a car wash facility.
Besides these you can have any other clause that you think might be suitable for your special case. Two important things to remember while drafting a rent contract:-
Also check out our free guide on contract basics for landlords and tenants.
-Akshat Jiwan Sharma


DISTRICT 2
District 2 is located in the northwest sector of the city and measures 17.04 square miles. A huge section of the district is bordered by West Eight Mile Road to the north, John R to the east; south on John R to McNichols, westward to the Southfield Freeway, and north to West Eight Mile Road. The district also includes areas south of West McNichols, where at Log Cabin St., the district’s eastern border dips sharply in a southeasterly direction over to Davidson.
The district’s southernmost boundaries are a bit more jagged. Besides Davidson, other south border streets include Ford, Buena Vista, Pasadena, Grand, Fenkell and Lyndon, before going north on Ardmore to West McNichols. According to information provided by Data Driven Detroit, a city-based clearinghouse of historic demographic information, the district’s population is 105,931, of which 94% is African American, 3% White and 3% other.
HOUSEHOLD INCOME
$75kPICK UP DAY
MON/FRIBLOCK CLUBS
139RESIDENTS
105,931NEIGHBORHOODS LIST
HOMES
11,235HOME RENOVATION PERMITS
356NEIGHBORHOOD ASSOCIATIONS & BLOCK CLUBS
CLUB NAME 1
John Doe - President
<EMAIL_ADDRESS>313.333.3333
CLUB NAME 1
John Doe - President
<EMAIL_ADDRESS>313.333.3333
CLUB NAME 1
John Doe - President
<EMAIL_ADDRESS>313.333.3333
CLUB NAME 1
John Doe - President
<EMAIL_ADDRESS>313.333.3333
CLUB NAME 1
John Doe - President
<EMAIL_ADDRESS>313.333.3333
CLUB NAME 1
John Doe - President
<EMAIL_ADDRESS>313.333.3333
RESTAURANTS
35BUSINESS RENOVATION PERMITS
135EVENTS
JAN
2017
Something nice about the Auto Show like, they have shinny stuff
JAN
2017
Something nice about the Winter Blast like, it is cold.
MAR
2017
Something nice about the St. Patrik's Parade like, lots of green.


data analysis
Contents
4.2. data analysis#
4.2.1. pqrs#
Goal: inference - conclusion or opinion formed from evidence
PQRS
P - population
Q - question - 2 types
hypothesis driven - does a new drug work
discovery driven - find a drug that works
R - representative data colleciton
simple random sampling = SRS
w/ replacement: \(var(\bar{X}) = \sigma^2 / n\)
w/out replacement: \(var(\bar{X}) = (1 - \frac{n}{N}) \sigma^2 / n\)
S - scrutinizing answers
4.2.2. visualization#
First 5 parts here are based on the book storytelling with data by cole nussbaumer knaflic
difference between showing data + storytelling with data
<IP_ADDRESS>. understand the context (1)#
who is your audience? what do you need them to know/do?
exploratory vs explanatory analysis
slides (need little details) vs email (needs lots of detail) - usually need to make both in slideument
should know how much nonsupporting data to show
distill things down into a 3-minute story or a 1-sentence Big Idea
easiest to start things on paper/post-it notes
<IP_ADDRESS>. choose an effective visual (2)#
generally avoid pie/donut charts, 3D charts, 2nd y-axes
tables
best for when people will actually read off numbers
minimalist is best
bar charts should basically always start at 0
horizontal charts typically easy to read
on axes, retain things like dollar signs, percent, etc.
<IP_ADDRESS>. eliminate clutter (3)#
gestalt principles of vision
proximity - close things are grouped
similarity - similar things are grouped
connection - connected things are grouped
enclosure
closure
continuity
generally good to have titles and such at top-left!
diagonal lines / text should be avoided
center-aligned text should be avoided
label lines directly
<IP_ADDRESS>. focus attention (4)#
visual hierarchy - outlines what is important
<IP_ADDRESS>. tell a story / think like a designer (5)#
affordances - aspects that make it obvious how something will be used (e.g. a button affords pushing)
“You know you’ve achieved perfection, not when you have nothing more to add, but when you have nothing to take away” (Saint‐Exupery, 1943)
stories have different parts, which include conflict + tension
beginning - introduce a problem / promise
middle - what could be
end - call to action
horizontal logic - people can just read title slides and get out what they need
can either convince ppl through conventional rhetoric or through a story
<IP_ADDRESS>. visual summaries#
numerical summaries
mean vs. median
sd vs. iq range
visual summaries
histogram
kernel density plot - Gaussian kernels
with bandwidth h \(K_h(t) = 1/h K(t/h)\)
plots
box plot / pie-chart
scatter plot / q-q plot
q-q plot = probability plot - easily check normality
plot percentiles of a data set against percentiles of a theoretical distr.
should be straight line if they match
transformations = feature engineering
log/sqrt make long-tail data more centered and more normal
delta-method - sets comparable bw (wrt variance) after log or sqrt transform: \(Var(g(X)) \approx [g'(\mu_X)]^2 Var(X)\) where \(\mu_X = E(X)\)
if assumptions don’t work, sometimes we can transform data so they work
transform x - if residuals generally normal and have constant variance
corrects nonlinearity
transform y - if relationship generally linear, but non-constant error variance
stabilizes variance
if both problems, try y first
Box-Cox: Y’ = \(Y^l \: if \: l \neq 0\), else log(Y)
least squares
inversion of pxp matrix ~O(p^3)
regression effect - things tend to the mean (ex. bball children are shorter)
in high dims, l2 worked best
kernel smoothing + lowess
can find optimal bandwidth
nadaraya-watson kernel smoother - locally weighted scatter plot smoothing
$\(g_h(x) = \frac{\sum K_h(x_i - x) y_i}{\sum K_h (x_i - x)}\)$ where h is bandwidth
loess - multiple predictors / lowess - only 1 predictor
also called local polynomial smoother - locally weighted polynomial
take a window (span) around a point and fit weighted least squares line to that point
replace the point with the prediction of the windowed line
can use local polynomial fits rather than local linear fits
silhouette plots - good clusters members are close to each other and far from other clustersf
popular graphic method for K selection
measure of separation between clusters \(s(i) = \frac{b(i) - a(i)}{max(a(i), b(i))}\)
a(i) - ave dissimilarity of data point i with other points within same cluster
b(i) - lowest average dissimilarity of point i to any other cluster
good values of k maximize the average silhouette score
lack-of-fit test - based on repeated Y values at same X values
4.2.3. imbalanced data#
randomly oversample minority class
randomly undersample majority class
weighting classes in the loss function - more efficient, but requires modifying model code
generate synthetic minority class samples
smote (chawla et al. 2002) - interpolate betwen points and their nearest neighbors (for minority class) - some heuristics for picking which points to interpolate
adasyn (he et al. 2008) - smote, generate more synthetic data for minority examples which are harder to learn (number of samples is proportional to number of nearby samples in a different class)
smrt - generate with vae
selectively removing majority class samples
tomek links (tomek 1976) - selectively remove majority examples until al lminimally distanced nearest-neighbor pairs are of the same class
near-miss (zhang & mani 2003) - select samples from the majority class which are close to the minority class. Example: select samples from the majority class for which the average distance of the N closest samples of a minority class is smallest
edited nearest neighbors (wilson 1972) - “edit” the dataset by removing samples that don’t agree “enough” with their neighborhood
feature selection and extraction
minority class samples can be discarded as noise - removing irrelevant features can reduce this risk
feature selection - select a subset of features and classify in this space
feature extraction - extract new features and classify in this space
ideas
use majority class to find different low dimensions to investigate
in this dim, do density estimation
residuals - iteratively reweight these (like in boosting) to improve performance
incorporate sampling / class-weighting into ensemble method (e.g. treat different trees differently)
ex. undersampling + ensemble learning (e.g. IFME, Becca’s work)
algorithmic classifier modifications
misc papers
enrichment (jegierski & saganowski 2019) - add samples from an external dataset
ref
imblanced-learn package with several methods for dealing with imbalanced data
Learning from class-imbalanced data: Review of methods and applications (Haixiang et al. 2017)
sample majority class w/ density (to get best samples)
log-spline - doesn’t scale
4.2.4. whitening#
get decorrelated features \(Z\) from inputs \(X\)
\(W=\) whitening matrix , selected based on problem goals:
PCA: Maximal compression of \(\mathbf{X}\) in \(\mathbf{Z}\)
ZCA: Maximal similarity between \(\mathbf{X}\) and \(\mathbf{Z}\)
Cholesky: Inducing structure: \(\operatorname{Cov}(X, Z)\) is lower-triangular with positive diagonal elements
\(W\) is constrained as to enforce \(\Sigma_{Z}=I\)
4.2.5. missing-data imputation#
Missing value imputation: a review and analysis of the literature (lin & tsai 2019)
Purposeful Variable Selection and Stratification to Impute Missing FAST Data in Trauma Research (fuchs et al. 2014)
Causal Inference: A Missing Data Perspective (ding & li, 2018)
different missingness mechanisms (little & rubin, 1987)
MCAR - missing completely at random - no relationship between the missingness of the data and any values, observed or missing
MAR - missing at random - propensity of missing values depends on observed data, but not the missing data
can easily test for this vs MCAR
MNAR - missing not at random - propensity of missing values depends both on observed and unobserved data
connections to causal: MCAR is much like randomization, MAR like ignorability (although slightly more general), and MNAR like unmeasured unconfounding
imputation problem: propensity of missing values depends on the unobserved values themselves (not ignorable)
simplest approach: drop rows with missing vals
mean/median imputation
probabilistic approach
EM approach, MCMC, GMM, sampling
matrix completion: low-rank, PCA, SVD
nearest-neighbor / matching: hot-deck
(weighted) prediction approaches
linear regr, LDA, naive bayes, regr. trees, LDA
can do weighting using something similar to inverse propensities, although less common to check things like covariate balance
multiple imputation: impute multiple times to get better estimates
MICE (passes / imputes data multiple times sequentially)
can perform sensitivity analysis to evaluate the assumption that things are not MNAR
two standard models for nonignorable missing data are the selection models and the pattern-mixture models (Little and Rubin, 2002, Chapter 15)
performance evaluation
acc at finding missing vals
acc in downstream task
4.2.6. feature engineering#
often good to discretize/binarize features
e.g. from genomics
4.2.7. principles#
<IP_ADDRESS>. breiman#
conversation
moved sf -> la -> caltech (physics) -> columbia (math) -> berkeley (math)
info theory + gambling
CART, ace, and prob book, bagging
ucla prof., then consultant, then founded stat computing at berkeley
lots of cool outside activities
ex. selling ice in mexico
2 cultures paper
generative - data are generated by a given stochastic model
stat does this too much and needs to move to 2
ex. assume y = f(x, noise, parameters)
validation: goodness-of-fit and residuals
predictive - use algorithmic model and data mechanism unknown
assume nothing about x and y
ex. generate P(x, y) with neural net
validation: prediction accuracy
axioms
Occam
Rashomon - lots of different good models, which explains best?
ex. rf is not robust at all
Bellman - curse of dimensionality
might actually want to increase dimensionality (ex. svms embedded in higher dimension)
industry was problem-solving, academia had too much culture
<IP_ADDRESS>. box + tukey#
questions
what points are relevant and irrelevant today in both papers?
relevant
box
thoughts on scientific method
solns should be simple
necessity for developing experimental design
flaws (cookbookery, mathematistry)
tukey
separating data analysis and stats
all models have flaws
no best models
lots of goold old techniques (e.g. LSR)
irrelevant
some of the data techniques (I think)
tukey multiple-response data has been better attacked (graphical models)
how do you think the personal traits of Tukey and Box relate to the scientific opinions expressed in their papers?
probably both pretty critical of the science at the time
box - great respect for Fisher
both very curious in different fields of science
what is the most valuable msg that you get from each paper?
box - data analysis is a science
tukey - models must be useful
no best models
find data that is useful
no best models
box_79 “science and statistics”
scientific method - iteration between theory and practice
learning - discrepancy between theory and practice
solns should be simple
fisher - founder of statistics (early 1900s)
couples math with applications
data analysis - subiteration between tentative model and tentative analysis
develops experimental design
flaws
cookbookery - forcing all problems into 1 or 2 routine techniques
mathematistry - development of theory for theory’s sake
tukey_62 “the future of data analysis”
general considerations
data analysis - different from statistics, is a science
lots of techniques are very old (LS - Gauss, 1803)
all models have flaws
no best models
must teach multiple data analysis methods
spotty data - lots of irregularly non-constant variability
could just trim highest and lowest values
winzorizing - replace suspect values with closest values that aren’t
must decide when to use new techniques, even when not fully understood
want some automation
FUNOP - fulll normal plot
can be visualized in table
spotty data in more complex situations
FUNOR-FUNOM
multiple-response data
understudied except for factor analysis
multiple-response procedures have been modeled upon how early single-response procedures were supposed to have been used, rather than upon how they were in fact used
factor analysis
reduce dimensionality with new coordinates
rotate to find meaningful coordinates
can use multiple regression factors as one factor if they are very correlated
regression techniques always offer hopes of learning more from less data than do variance-component techniques
flexibility of attack
ex. what unit to measure in
<IP_ADDRESS>. models#
normative - fully interpretable + modelled
idealized
probablistic
~mechanistic - somewhere in between
descriptive - based on reality
empirical
<IP_ADDRESS>. exaggerated claims#
video by Rob Kass
concepts are ambiguous and have many mathematical instantiations
e.g. “central tendency” can be mean or median
e.g. “information” can be mutual info (reduction in entropy) or squared correlation (reduction in variance)
e.g. measuring socioeconomic status and controlling for it
regression “when controlling for another variable” makes causal assumptions
must make sure that everything that could confound is controlled for
Idan Segev: “modeling is the lie that reveals the truth”
picasso: “art is the lie that reveals the truth”
box: “all models are wrong but some are useful” - statistical pragmatism
moves from true to useful - less emphasis on truth
“truth” is contingent on the purposes to which it will be put
the scientific method aims to provide explanatory models (theories) by collecting and analyzing data, according to protocols, so that
the data provide info about models
replication is possible
the models become increasingly accurate
scientific knowledge is always uncertain - depends on scientific method


--- layout: post title: ">Twitter" date: 2008-11-23 12:26:00.000000000 +01:00 categories: [] tags: [] status: publish type: post published: true meta: blogger_blog: andreasohlund.blogspot.com blogger_permalink: "/2008/11/twitter.html" author: login: andreas.ohlund email<EMAIL_ADDRESS>display_name: Andreas Öhlund first_name: Andreas last_name: "Öhlund" ---
>
I decided to try this new "Twitter thing"... You can follow me on twitter here.


{% extends "base.html" %} {% load i18n %} {% block nav-profile %}active{% endblock %} {% block content %}
{% trans "MPASS takes care of secure authentication using the accounts of other supported services. This is a safe way for you, as you do not need to tell MPASS any of the passwords to your existing services, but you can still use them for login." %}
{% trans "#mepin-auth-info-1" %}
{% trans "#mepin-auth-info-2" %}


Uses of Interface
nl.andrewl.concord_core.msg.Message
Package
Description
Message components which are used by the server and the default client
implementation.
Contains all the various message types which can be sent between the server
and client.
Messages pertaining to channel interaction and updates.
Messages pertaining to chat messages and other auxiliary messages regarding
the management of chat information.
Messages pertaining to the establishment of a connection with clients.
Contains some useful one-off utility classes that any consumer of Concord
messages could benefit from.
-
Uses of Message in nl.andrewl.concord_core.msg
Modifier and TypeInterfaceDescriptioninterface
MessageReader<T extends Message>
final record
MessageTypeSerializer<T extends Message>
Record containing the components needed to read and write a given message.interface
MessageWriter<T extends Message>
Modifier and TypeMethodDescriptionMessageTypeSerializer.generateByteSizeFunction
(RecordComponent[] components) Generates a function implementation that counts the byte size of a message based on the message's record component types.static <T extends Message>
MessageTypeSerializer<T>MessageTypeSerializer.generateForRecord
(Class<T> messageTypeClass) Generates a message type instance for a given class, using reflection to introspect the fields of the message.private static <T extends Message>
MessageReader<T>MessageTypeSerializer.generateReader
(Constructor<T> constructor) Generates a message reader for the given message constructor method.private static <T extends Message>
MessageWriter<T>MessageTypeSerializer.generateWriter
(RecordComponent[] components) Generates a message writer for the given message record components.static <T extends Message>
MessageTypeSerializer<T>Gets theMessageTypeSerializer
instance for a given message class, and generates a new implementation if none exists yet.static <T extends Message>
intMessageUtils.getByteSize
(T[] items) default <T extends Message>
MessageTypeSerializer<T>Message.getTypeSerializer()
Convenience method to get the serializer for this message's type, using the static auto-generated set of serializers.private <T extends Message>
voidSerializer.registerType
(int id, Class<T> messageClass) Helper method which registers a message type to be supported by the serializer, by adding it to the normal and inverse mappings.<T extends Message>
voidSerializer.writeMessage
(Message msg, OutputStream o) Writes a message to the given output stream.Modifier and TypeMethodDescriptionSerializer.readMessage
(InputStream i) Reads a message from the given input stream and returns it, or throws an exception if an error occurred while reading from the stream.Modifier and TypeMethodDescriptionstatic int
MessageUtils.getByteSize
(Message msg) static <T extends Message>
intMessageUtils.getByteSize
(T[] items) <T extends Message>
voidSerializer.writeMessage
(Message msg, OutputStream o) Writes a message to the given output stream. -
Uses of Message in nl.andrewl.concord_core.msg.types
Modifier and TypeClassDescriptionfinal record
Error message which can be sent between either the server or client to indicate an unsavory situation.final record
Metadata is sent by the server to clients to inform them of the structure of the server.static final record
Metadata about a top-level channel in the server which is visible and joinable for a user.final record
This message is sent from the server to the client whenever a change happens which requires the server to notify clients about a change of the list of global users.final record
Standard set of user data that is used mainly as a component of other more complex messages. -
Uses of Message in nl.andrewl.concord_core.msg.types.channel
Modifier and TypeClassDescriptionfinal record
This message is sent by clients when they indicate that they would like to create a new thread in their current channel.final record
A message that's sent to a client when they've been moved to another channel. -
Uses of Message in nl.andrewl.concord_core.msg.types.chat
Modifier and TypeClassDescriptionfinal record
This message contains information about a chat message that a user sent.final record
A message which clients can send to the server to request some messages from the server's history of all sent messages from a particular source.final record
The response that a server sends to aChatHistoryRequest
. -
Uses of Message in nl.andrewl.concord_core.msg.types.client_setup
Modifier and TypeClassDescriptionfinal record
This message is sent by clients to log into a server that they have already registered with, but don't have a valid session token for.final record
The data that new users should send to a server in order to register in that server.final record
This message is sent by the client to log into a server using a session token instead of a username/password combination.final record
This message is sent as the first message from both the server and the client to establish an end-to-end encryption via a key exchange.final record
A response from the server which indicates the current status of the client's registration request.final record
This message is sent from the server to the client after the server accepts the client's identification and registers the client in the server. -
Uses of Message in nl.andrewl.concord_core.util
Modifier and TypeMethodDescription<T extends Message>
T[]ExtendedDataInputStream.readArray
(MessageTypeSerializer<T> type) <T extends Message>
ChainedDataOutputStreamChainedDataOutputStream.writeArray
(T[] array) <T extends Message>
ChainedDataOutputStreamChainedDataOutputStream.writeMessage
(Message msg) Modifier and TypeMethodDescription<T extends Message>
T[]ExtendedDataInputStream.readArray
(MessageTypeSerializer<T> type) Modifier and TypeMethodDescription<T extends Message>
ChainedDataOutputStreamChainedDataOutputStream.writeArray
(T[] array) <T extends Message>
ChainedDataOutputStreamChainedDataOutputStream.writeMessage
(Message msg)


Additional properties and methods are in other classes within the flash.system package: the Capabilities class, the IME class, and the Security class.
This class contains only static methods and properties. You cannot create new instances of the System class.
addEventListener()
on this instance.AIR developers should use this property to determine the entire memory consumption of an application.
For Flash Player, this includes the memory used by the container application, such as the web browser.
This property does not return all memory used by an Adobe AIR
application or by the application(such as a browser) containing Flash
Player content. The browser or operating system may consume other memory.
The System.privateMemory
property reflects all memory
used by an application.
If the amount of memory allocated is greater than the maximum value for
a uint object(uint.MAX_VALUE
, or 4,294,967,295), then this
property is set to 0. The System.totalMemoryNumber
property
allows larger values.
This property is expressed as a Number, which allows higher values than
the System.totalMemory
property, which is of type int.
This property does not return all memory used by an Adobe AIR
application or by the application(such as a browser) containing Flash
Player content. The browser or operating system may consume other memory.
The System.privateMemory
property reflects all memory
used by an application.
false
,
external text files are interpretted as Unicode.(These files must be
encoded as Unicode when you save them.) When the property is set to
true
, external text files are interpretted using the
traditional code page of the operating system running the application. The
default value of useCodePage
is false
.
Text that you load as an external file(using
Loader.load()
, the URLLoader class or URLStream) must have
been saved as Unicode in order for the application to recognize it as
Unicode. To encode external files as Unicode, save the files in an
application that supports Unicode, such as Notepad on Windows.
If you load external text files that are not Unicode-encoded, set
useCodePage
to true
. Add the following as the
first line of code of the file that is loading the data(for Flash
Professional, add it to the first frame):
System.useCodePage = true;
When this code is present, the application interprets external text using the traditional code page of the operating system. For example, this is generally CP1252 for an English Windows operating system and Shift-JIS for a Japanese operating system.
If you set useCodePage
to true
, Flash Player
6 and later treat text as Flash Player 5 does.(Flash Player 5 treated all
text as if it were in the traditional code page of the operating system
running the player.)
If you set useCodePage
to true
, remember that
the traditional code page of the operating system running the application
must include the characters used in your external text file in order to
display your text. For example, if you load an external text file that
contains Chinese characters, those characters cannot display on a system
that uses the CP1252 code page because that code page does not include
Chinese characters.
To ensure that users on all platforms can view external text files used
in your application, you should encode all external text files as Unicode
and leave useCodePage
set to false
. This way,
the application(Flash Player 6 and later, or AIR) interprets the text as
Unicode.
node
XML reference that should be made available for garbage collection.code
A value to pass to the operating system. Typically, if the process exits normally, the value is 0.For the standalone Flash Player debugger version only.
AIR applications should call the NativeApplication.exit()
method to exit the application.
For the Flash Player debugger version and AIR applications only.
In an AIR application, the System.gc()
method is only enabled
in content running in the AIR Debug Launcher(ADL) or, in an installed
applcation, in content in the application security sandbox.
For the Flash Player debugger version or the AIR Debug Launcher (ADL) only.
System.pause()
.
For the Flash Player debugger version or the AIR Debug Launcher (ADL) only.
string
A plain-text string of characters to put on the system Clipboard, replacing its current contents(if any).This method is provided for SWF content running in Flash Player 9. It allows only adding String content to the Clipboard.
Flash Player 10 content and content in the application security sandbox
in an AIR application can call the Clipboard.setData()
method.
System.totalMemory
) fluctuates as garbage collection takes place. Use this property to monitor garbage collection.


Reliance Capital Pension’s registration under NPS cancelled: PFRDA
Earlier this year, the company had surrendered its NPS licence.
by PTIThe registration of Reliance Capital Pension Fund under the government’s National Pension Scheme (NPS) has been cancelled following a request by the company, sector regulator PFRDA said in a notice.
With this, the pension fund is no longer available for subscription under NPS, said the Pension Fund Regulatory and Development Authority of India (PFRDA).
Earlier this year, the company had surrendered its NPS licence.
It was one of the eight companies registered under NPS to manage funds for subscribers from the private sector.
“This is to inform to general public that based on the request received from Reliance Capital Pension Fund Ltd, the certificate of registration granted to Reliance Capital Pension Fund Ltd has been cancelled by the Authority and the pension fund is no longer available for subscription under NPS,” PFRDA said.
The other seven funds for private sector subscribers are HDFC Pension Management Co, ICICI Prudential Pension Fund Management Co, Kotak Mahindra Pension Fund, LIC Pension Fund, SBI Pension Funds, UTI Retirement Solutions, and Birla Sunlife Pension Management.
LIC Pension Fund, UTI Retirement Solutions and SBI Pension Funds manage NPS for the government employees.
NPS is a pension cum investment scheme launched by the government to provide old age security to the citizens.
There were about 1.28 NPS subscriber at end-October, 2019.


What Women Want a film review by Chad Polenz
WHAT IT'S ABOUT:
Mel Gibson stars in his first romcom in 10 years as Nick Marshall, a rich sexist ad exec who suddenly gains the ability to hear women's thoughts after being electrocuted. With the sudden comic book-like superpower he realizes what women really think of him, what appeals to women and how to woo his new co-worker Darcy (Helen Hunt). There's also a sub-plot of Nick trying to relate to his teenage daughter as well as another romantic encounter he has with the woman at the coffee shop he sees every day.
WHAT'S GOOD ABOUT IT:
Gibson gives a very good performance showing he's a talented actor, not just a pretty face. The screenplay includes a lot of very funny jokes exploiting the character's magical ability to hear what women are thinking - combining trendy pop culture references with the standard one-liners and zany pratfalls. The plotline involving Gibson's wooing of Hunt is pretty convincing and the two have good chemistry making this one of the few romcoms that actually work.
WHAT'S NOT SO GOOD ABOUT IT:
Although the main storyline is concise and the jokes work the screenplay is far too elaborate for an otherwise elementary Hollywood movie. The subplots about Nick trying to get along with his daughter and the girl at his work who's secretly suicidal aren't handled nearly as tactful as they should have been. The ending has not one, not two, but THREE climaxes all involving Nick "saving" a woman in one way or another.
CRITIQUE:
The comedy is certainly winning but the film takes its plot a little too seriously. This film could have been the biggest accomplishment for feminism in years if it had ended any other way. Not only is it a totally lame cop-out as far as filmmaking goes but it sells short the theme that men should listen to them, be sensitive, be self-sufficient and not be so... you know... manly. . Apparently women aren't as liberated as we think, they still need men to come to their rescue.
GRADE: B-
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


{% extends "base.html" %} {% block content %} Enter the email address of the doctor you would like to add {% csrf_token %} {{form.email.error}} {{form.email}} Add {% endblock content %}


--- layout: default title: Sponsorship css: sponsorship.css ---
In years past, it has been established in the WSU community that our annual hackathons inspire an unmatched passion for innovation among the student engineers here at WSU. If you decide to become a sponsor for CrimsonCode:
As a sponsor, you can choose to make donations in a few different ways:
Naturally, the more we receive, the more we will give back. The table below shows how we will advertise you based on your level of sponsorship. The difference between these top three levels is the variance in the amount of space we will allot for your name/logo. The title sponsor will naturally have the most space allotted and will be recognized as a partner, e.g. ACM WSU Chapter and YOU presents: CrimsonCode.
The deadline for a yes/no confirmation and declaration of sponsorship level is March 7th. If this deadline is missed, sponsorship is still encouraged, but we will not be able to guarantee your name across all mediums of advertising (particularly on posters).
Hackathons are a great way to watch students code and develop a complete project in a limited amount of time. You can learn so much more about prospective graduate students than you would in a classroom setting. In addition, students can interact with you and get a feel for your culture, as well as learn about what you look for in potential employees. What better way is there to gain exposure to students and get them interested in what you do?
If you'd like to learn more about CrimsonCode, contact Camilla Smith, the CrimsonCode sponsorship coordinator, at<EMAIL_ADDRESS>We hope we can count on your support!


{% extends "base.html" %} {% block content %}
Click here to update agent details
Click here to delete all records of {{object}}
Go Back


{% extends 'account/_skeleton.html' %} {% set step = 2 %} {% block book_content %}
From {{booking.booking_from}} to {{booking.booking_to}} (both dates included)


FreeCodeCamp Developer Survey
This is a general survey for Developers using FreeCodeCamp as a tool to improve their skills.
Name:
Email Address:
Age
How many years have you been a developer:
0 - 1 Year
1 - 2 Years
2 - 3 Years
3 - 4 Years
4+ Years
How satisfied are you with the course:
Completely Satisfied
Partially Satisfied
Satisfied
Unsatisfied
Compeletely Unsatisfied
What did you find most helpful during your course:
Information Provided
Challenges
Projects
Tutorials
References
Do you have any extra comments:


public class UIStub extends java.lang.Object implements UIInterface
UIInterface
component for testing purposes. Does not present
an actual user interface. Provides methods to retrieve values passed to the
public UIInterface
methods for assertion.| Constructor and Description |
|---|
UIStub() |
| Modifier and Type | Method and Description |
|---|---|
void |
display(java.util.ArrayList<Task> tasks)
Displays the provided list of
Task objects. |
void |
feedback(FeedbackMessage feedback)
Displays the provided FeedbackMessage object to the user.
|
void |
focusCommandBar()
Does nothing.
|
java.lang.String |
getFeedbackMessageString()
Retrieves the string message content of the last
FeedbackMessage
object that was displayed. |
Task |
getTask(int index)
Retrieves the Task object associated with the index provided.
|
java.util.ArrayList<Task> |
getTasksForDisplay()
Retrieves the list of
Task objects that was sent for display via
UIInterface.display(ArrayList) . |
javafx.scene.Parent |
getUI()
Does nothing.
|
void |
injectDependency(LogicInterface Logic)
Injects the dependency on a
LogicInterface component into this
UIInterface component. |
Filter |
popFilter()
Removes the final
Filter object in the filter chain and returns
it. |
void |
pushFilter(Filter filter)
Adds the provided
Filter object to the filter chain. |
void |
refreshFilter()
Creates a new instance of
FilterChain with no Task
objects. |
boolean |
showChangeDataFilePathDialog()
Does nothing.
|
boolean |
showHelpPage()
Does nothing.
|
public void injectDependency(LogicInterface Logic)
UIInterface
LogicInterface
component into this
UIInterface
component.injectDependency
in interface UIInterface
Logic
- A LogicInterface
component. A handle to this object
will be retained to access the LogicInterface
methods.public void display(java.util.ArrayList<Task> tasks)
UIInterface
Task
objects.display
in interface UIInterface
tasks
- List of Task
objects to be displayed.public Task getTask(int index) throws TaskNotFoundException
UIInterface
UIInterface.display(ArrayList)
is calledgetTask
in interface UIInterface
index
- Integer index associated with a displayed Task objectTaskNotFoundException
- Thrown when the provided index is out of boundspublic void feedback(FeedbackMessage feedback)
UIInterface
feedback
in interface UIInterface
feedback
- FeedbackMessage object to be displayedFeedbackMessage
public java.lang.String getFeedbackMessageString()
UIInterface
FeedbackMessage
object that was displayed.getFeedbackMessageString
in interface UIInterface
FeedbackMessage
object.public void pushFilter(Filter filter)
UIInterface
Filter
object to the filter chain. The filtered
list of Task objects will then be displayedpushFilter
in interface UIInterface
filter
- Filter object to add to the filter chainpublic Filter popFilter()
UIInterface
Filter
object in the filter chain and returns
it. If only the root filter is remaining, this method does nothing and
returns null
popFilter
in interface UIInterface
Filter
object or null
if only the root
Filter
remainspublic boolean showChangeDataFilePathDialog()
showChangeDataFilePathDialog
in interface UIInterface
true
.public boolean showHelpPage()
showHelpPage
in interface UIInterface
true
.public void focusCommandBar()
focusCommandBar
in interface UIInterface
public javafx.scene.Parent getUI()
getUI
in interface UIInterface
null
.public java.util.ArrayList<Task> getTasksForDisplay()
Task
objects that was sent for display via
UIInterface.display(ArrayList)
.Task
objects that was sent for display.public void refreshFilter()
FilterChain
with no Task
objects.


Report
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Heres what Gino is whipping up for you:
A pizza pie topped with . Now sit down, tuck in, and stuff your pie hole!!! You better have worn your elastic waisted pants...
You are getting all this for a bargain price of $ . We are basically giving it away!


I am a very versatile person who loves to mix different things to bring a very unique flavor. This has happened in every sphere of my life. I mean I like to mix flavors. As a Telecommunciation Engineer, I have worked in the telecom and electrical sector. In electrical field, I have in different positions; including pre-sales engineer, sales engineer, then as a sales analyst. My next venture can be human resources in which I may develop one of its kind application enabling employers and employees their strength, which in turn may lead them to develop their strength.
Other than this, I have experience in teaching students of different ages, be it elementary level, secondary level, or even university graduates. In all cases, my objective has been to enable all of my students to become independent learners


Chapter 2 Understanding IM Data Hub
2.1 Introduction
Now that you’re already started and you’ve got some essential background about IM Data Hub, we are going to explore the details/components that form IM Data Hub.
As we saw in chapter 1, IM Data Hub is not just a database; it’s a project monitoring system. It’s divided into components; whose primary goal is to monitor IM indicator data for action.
We’ll dive deeper into the components and understand how they are set up in the Hub.
Understanding IM Data Hub components will allow you to report, analyse, and monitor IM indicators more effectively.
I’ll start by showing the you reporting component, IM Data Hub uses data sets to collect indicator data. We will discuss them briefly in the next section. We will then walk through the data mining piece, and how the different outputs are pulled together on a dashboard for the project use. We’ll wind up by exploring the data quality component and how the IM indicator data pass through the quality checks.
2.2 Reporting Component
Reporting is organized through the use of data sets. A data set is simply a list of data elements that are grouped for data collection. We’ll talk more about data elements in the next chapter.
A data set has a reporting period and an organization unit. The reporting period specifies how the data is reported, i.e., monthly, or quarterly, while the organization unit determines the location “where” the information is collected.
IM Data Hub has two main types of data sets;
- Global data sets for reporting IM indicators. You will learn more about this in section 2.2.1
- Country specific data set for reporting PMP indicators. You will learn more about this in section 2.2.2
The data sets are accessible through the data entry app (Fig. 2.1), and they appear as forms. They are designed to mimic the paper forms to allow ease of data entry/reporting process.
2.2.1 Global datasets
Global datasets are accessible at a global level and are used to report IM indicators on a monthly and quarterly basis.
They consist of five data sets, which all begin with the [project code]
followed by the [data set name]
as shown below in yellow (Fig 2.2)
Global datasets are divided into sections (in grey) that groups IM data elements into multiple subheadings for ease of data collection.
There are five main sections:
- Diagnosis
- Treatment
- MIP
- Technical leadership
- Seasonal Malaria Chemoprevention
We will talk about them in chapter 4.
<IP_ADDRESS> Accessing Global Datasets
- If you haven’t already logged in yet, please log in now at:
Username
:demoUser
and Password
: Temp1234!
Search for the Data Entry App from Apps
Click on the test world on top left if not already selected
- Select
IM Case Reporting
data set and the period to report; this case October 2019.
- Wait for the data entry form to load, and check that you can see the same screen as in Fig 2.3 below. Congratulations! You can now start reporting.
Before completing the records, please notice the Run validation
button at the top right. We will talk about this in section 6.
The complete button submits the records into the data hub.
2.2.2 Country Specific Datasets
Country specific datasets are mainly used to report country’s performance management plan (PMP) indicators. They are accessible at the district or facility level and are reported monthly.
Similar to the global data sets, Country specific ones are organized in sections (in grey) with multiple subheadings. Fig 2.4
<IP_ADDRESS> Accessing Country Specific Datasets
Follow the same steps in section <IP_ADDRESS> to launch the data entry app. Ensure you are loogied in with your country demo account.
Click on the level to report (i.e country / district / facility) on the left bar
Select
[Country ISO] Case Reporting
data set and the period to report; this case October 2019.Wait for the form to load. Congratulations!
For some countries like Kenya
, Ghana
and Mali
the reporting process is automated through scripts. This is discussed in section.
2.3 Data Mining Component
Once the data is collected or loaded into the Data Hub, it then becomes available for data mining. Data mining is a technical process that involves the extraction and analysis of data to generate information.
The data mining component provides tools for enabling the extraction and analysis of IM indicator data.
- Pivot Tables - extracts data in a tabular format and enables the ability to pivot IM indicators.
- Data Visualizers - generates a variety of charts; standard line, bar charts, pie charts e.t.c
- Maps - gives the ability to visualize IM data on a map.
We will discuss more of these tools in section 2.3.1, section ?? and section ??
2.3.1 Pivot Tables
If you are familiar with excel, you are probably aware of “pivoting” the ability to summarize data on table in multiple dimensions. Excel Pivot Tables inspire Pivot Table.
Pivot Table offers quick access to IM data in a tabular format. It allows the ability to ‘pivot’ data in several dimensions, such as indicators, data elements, periods, and organization units. The aspects can quickly appear as rows or columns, depending on the tailored view.
In the following subsection, we are going to access and tabulate a sample of IM indicator data using the Pivot Table.
As an example, we tabulate and pivot IM Confirmed vs. Suspected Malaria Cases.
for last 12 months at the global level (world)
Please refresh your browser or login with the demo account below if you have not.
Username
:demoUser
and Password
: Temp1234!


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detail at
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Learn more about the members of our cohort!
Click here to listen to our Demo Day interviews.
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Portfolio | Github | LinkedIn


| Pos | Artist | Trackname |
|---|---|---|
| 1 | Lost In The Plot | The Dears |
| 2 | Poison | The Constantines |
| 3 | Plea From A Cat Named Virtute | The Weakerthans |
| 4 | Melissa Louise | Chixdiggit |
| 5 | Living Room | Tegan And Sara |
| 6 | Speed | Bran Van 3000 |
| 7 | Fast Money Blessing | King Cobb Steelie |
| 8 | Score | Buck 65 |
| 9 | Love Travel | Danko Jones |
| 10 | You Never Let Me Down | Furnaceface |


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Thanks for your interest in helping out with the EvalAI project! We're a team of volunteers around the world who want to reduce the barrier to entry for doing AI research and make it easier for researchers, students and developers to develop and use state-of-the-art algorithms as a service. We are always listening for suggestions to improve our platform, including identifying bugs and discussing enhancements. Here are different ways in which how you can help:
If you identify a bug or run into issues while using the website, or you'd like to suggest some new features or want to get in touch with us, feel free to reach out via our EvalAI Google Group, or contact us at<EMAIL_ADDRESS>The EvalAI project is fully open source, and is maintained by a large community of volunteers on GitHub. We are in need of coders and designers so if you would like to help out, please drop us a line! The best way to get started is to write us at<EMAIL_ADDRESS>or ping us on our Gitter Channel.
If you're a journalist who would like to help spread the word about EvalAI or CloudCV, please email<EMAIL_ADDRESS>If you are interested in partnering with us to make a bigger impact on the research community, or want to host a challenge of your own, please email admin@cloudcv.org.


25 April 2013 - As of 25 April 2013 (16:30 CET), one laboratory-confirmed case of human infection with the virus has been reported by the Taipei Centres for Disease Control (CDC).
The patient is a 53-year-old man who had been working in Jiangsu province from 28 March to 9 April 2013. He returned from Jiangsu via Shanghai on 9 April 2013, and became ill on 12 April 2013. The patient was laboratory confirmed with the virus on 24 April 2013.
To date, a total of 109 laboratory-confirmed cases of human infection with avian influenza A(H7N9) virus including 22 deaths have been reported to WHO. Contacts of the confirmed cases are being closely monitored.
The authorities in the affected locations continue to implement prevention and control measures.
Investigations into the possible sources of infection and reservoirs of the virus are ongoing. Until the source of infection has been identified, it is expected that there will be further cases of human infection with the virus. So far, there is no evidence of sustained human-to-human transmission.
WHO does not advise special screening at points of entry with regard to this event, nor does it recommend that any travel or trade restrictions be applied.
A team of international and Chinese experts has completed its mission to visit Shanghai and Beijing and assess the avian influenza A (H7N9) situation, and to make recommendations to the National Health and Family Planning Commission. For more information on the mission, please see:


new dataset
Filter
Value type
Site
Creator
Type
Instrument / source
date
Error
0 datasets
ds per page:
page:
<
1 / 1
>
export
Export records from all data sets
export records
include error records


PIG DICE
This is a game which can be only played by two players.The main goal for the game is
the one who reaches 100 first, is declared as the winner.So we call this game pig-dice. This is where a play rolls a dice and the number he gets is recorded and when he rolls again, the first roll number and current roll is added.
This applies same to player 2. When one gets 1, he gets a free run again in which he is able to play again.


We are a collective of students trying to make change in energy conservation in Singapore one person at a time.
Find Out MoreThe world is rapidly using up the limited resources the Earth provides. The energy we consume everyday originates from fossil fuels, which are technically decomposed dinosaurs. Hence, we want people to ‘help the dinosaurs’ by helping save energy as much as possible.
Get Started!Dollars saved when you use a fan instead of Air Conditioning.
Dollars saved when using a timer for Air Conditioning.
Dollars saved by using a water heater for 5 minutes, not 30.
Follow us on instagram for more fun facts!
Make a difference to save Singapore and the help the dinosaurs!


Date of Birth: 05.11.1998
Kyiv, Ukraine
Future QA Engineer, current Mother of Cats.
Passionate about IT-technologies, Software Development and Testing, Recruitment and foreign languages.
Always eager to learn something new and improve my skills and experience.
Email<EMAIL_ADDRESS>Phone: +38(093)412-29-28
Skype: live:margarita.kyianytsia
LinkedIn
GitHub
Kyiv National Linguistic University, 09.2016 - 06.2020
Faculty of Translation and Interpretation
Major: English and German translation
Bachelor's Degree 📚
🇺🇦 Ukrainian - native
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Write a program that cuts the fractional part of a number.
Use Double as the input type and Long as the result type since a value can be quite large.
Double
Long


Struct TopKNodeOp¶
Defined in File node_operators_tuple.h
Inheritance Relationships¶
Base Types¶
public marian::UnaryNodeOp
(Struct UnaryNodeOp)public marian::TupleNode
(Class TupleNode)
Struct Documentation¶
-
struct
TopKNodeOp
: public marian::UnaryNodeOp, public marian::TupleNode¶


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| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Object org.apache.xml.dtm.DTMAxisTraverser org.apache.xml.dtm.ref.DTMDefaultBaseTraversers.IndexedDTMAxisTraverser
private abstract class DTMDefaultBaseTraversers.IndexedDTMAxisTraverser
Super class for derived classes that want a convenient way to access the indexing mechanism.
| Constructor Summary | |
|---|---|
private |
DTMDefaultBaseTraversers.IndexedDTMAxisTraverser()
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| Method Summary | |
|---|---|
protected abstract boolean |
axisHasBeenProcessed(int axisRoot)
Tell if the axis has been fully processed to tell if a the wait for an arriving node should terminate. |
protected int |
getNextIndexed(int axisRoot,
int nextPotential,
int expandedTypeID)
Get the next indexed node that matches the expanded type ID. |
protected abstract boolean |
isAfterAxis(int axisRoot,
int identity)
Tell if a node is outside the axis being traversed. |
protected boolean |
isIndexed(int expandedTypeID)
Tell if the indexing is on and the given expanded type ID matches what is in the indexes. |
| Methods inherited from class org.apache.xml.dtm.DTMAxisTraverser |
|---|
first, first, next, next |
| Methods inherited from class java.lang.Object |
|---|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Constructor Detail |
|---|
private DTMDefaultBaseTraversers.IndexedDTMAxisTraverser()
| Method Detail |
|---|
protected final boolean isIndexed(int expandedTypeID)
getNextIndexed
method.
expandedTypeID
- The expanded type ID being requested.
getNextIndexed
method.protected abstract boolean isAfterAxis(int axisRoot, int identity)
axisRoot
- The root identity of the axis.identity
- The node in question.
protected abstract boolean axisHasBeenProcessed(int axisRoot)
axisRoot
- The root identity of the axis.
protected int getNextIndexed(int axisRoot, int nextPotential, int expandedTypeID)
isIndexed
to make sure that the index can
contain nodes that match the given expanded type ID.
axisRoot
- The root identity of the axis.nextPotential
- The node found must match or occur after this node.expandedTypeID
- The expanded type ID for the request.
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Paradise Alley
Paradise Alley is a movie starring Sylvester Stallone, Lee Canalito, and Armand Assante. Three Italian-American brothers, living in the slums of 1940's New York City, try to help each other with one's wrestling career using one...


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C++ Actor Framework 0.19
|
Bundles protocol-independent, generic member functions for (almost all) lower layers. More...
#include <generic_lower_layer.hpp>
Public Member Functions | |
| virtual multiplexer & | mpx () noexcept=0 |
| Returns the multiplexer instance that executes this protocol stack. | |
| virtual bool | can_send_more () const noexcept=0 |
| Queries whether the output device can accept more data straight away. | |
| virtual bool | is_reading () const noexcept=0 |
| Queries whether the lower layer is currently reading from its input device. | |
| virtual void | write_later ()=0 |
| Triggers a write callback after the write device signals downstream capacity. | |
| virtual void | shutdown ()=0 |
| Shuts down any connection or session gracefully. | |
| virtual void | shutdown (const error &reason) |
| Shuts down any connection or session du to an error. | |
Bundles protocol-independent, generic member functions for (almost all) lower layers.
|
pure virtualnoexcept |
Queries whether the output device can accept more data straight away.
Implemented in caf::net::http::server, caf::net::lp::framing, and caf::net::web_socket::framing.
|
pure virtualnoexcept |
Queries whether the lower layer is currently reading from its input device.
Implemented in caf::net::http::server, caf::net::lp::framing, caf::net::web_socket::framing, and caf::net::octet_stream::lower_layer.
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pure virtualnoexcept |
Returns the multiplexer instance that executes this protocol stack.
Implemented in caf::net::http::server, caf::net::lp::framing, and caf::net::web_socket::framing.
|
pure virtual |
Shuts down any connection or session gracefully.
Any pending data gets flushed before closing the socket.
Implemented in caf::net::http::server, caf::net::lp::framing, and caf::net::web_socket::lower_layer.
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virtual |
Shuts down any connection or session du to an error.
Any pending data gets flushed before closing the socket. Protocols with a dedicated closing handshake such as WebSocket may send the close reason to the peer.
Reimplemented in caf::net::web_socket::lower_layer.
|
pure virtual |
Triggers a write callback after the write device signals downstream capacity.
Does nothing if this layer is already writing.
Implemented in caf::net::http::server, caf::net::lp::framing, and caf::net::web_socket::framing.