|
Xerces-C++
3.1.4
|
DOMNamedNodeMap
s are used to represent collections of nodes that can be accessed by name.
More...
Public Member Functions | |
Destructor | |
| virtual | ~DOMNamedNodeMap () |
| Destructor. More... | |
Functions introduced in DOM Level 1 | |
| virtual DOMNode * | setNamedItem (DOMNode *arg)=0 |
Adds a node using its nodeName attribute. More... | |
| virtual DOMNode * | item (XMLSize_t index) const =0 |
Returns the index th item in the map. More... | |
| virtual DOMNode * | getNamedItem (const XMLCh *name) const =0 |
| Retrieves a node specified by name. More... | |
| virtual XMLSize_t | getLength () const =0 |
| The number of nodes in the map. More... | |
| virtual DOMNode * | removeNamedItem (const XMLCh *name)=0 |
| Removes a node specified by name. More... | |
Functions introduced in DOM Level 2 | |
| virtual DOMNode * | getNamedItemNS (const XMLCh *namespaceURI, const XMLCh *localName) const =0 |
| Retrieves a node specified by local name and namespace URI. More... | |
| virtual DOMNode * | setNamedItemNS (DOMNode *arg)=0 |
Adds a node using its namespaceURI and localName . More... | |
| virtual DOMNode * | removeNamedItemNS (const XMLCh *namespaceURI, const XMLCh *localName)=0 |
| Removes a node specified by local name and namespace URI. More... | |
Protected Member Functions | |
Hidden constructors | |
| DOMNamedNodeMap () | |
DOMNamedNodeMap
s are used to represent collections of nodes that can be accessed by name.
Note that DOMNamedNodeMap
does not inherit from DOMNodeList
; DOMNamedNodeMap
s are not maintained in any particular order. Nodes contained in a DOMNamedNodeMap
may also be accessed by an ordinal index, but this is simply to allow convenient enumeration of the contents, and does not imply that the DOM specifies an order to these Nodes.
|
protected |
|
virtual |
Destructor.
|
pure virtual |
The number of nodes in the map.
The range of valid child node indices is 0 to length-1
inclusive.
Retrieves a node specified by name.
| name | The nodeName of a node to retrieve. |
DOMNode
(of any type) with the specified nodeName
, or null
if it does not identify any node in the map.
|
pure virtual |
Retrieves a node specified by local name and namespace URI.
| namespaceURI | The namespace URI of the node to retrieve. |
| localName | The local name of the node to retrieve. |
DOMNode
(of any type) with the specified local name and namespace URI, or null
if they do not identify any node in the map. Returns the index
th item in the map.
If index
is greater than or equal to the number of nodes in the map, this returns null
.
| index | Index into the map. |
index
th position in the DOMNamedNodeMap
, or null
if that is not a valid index. Removes a node specified by name.
If the removed node is an DOMAttr
with a default value it is immediately replaced.
| name | The nodeName of a node to remove. |
| DOMException | NOT_FOUND_ERR: Raised if there is no node named name in the map. NO_MODIFICATION_ALLOWED_ERR: Raised if this DOMNamedNodeMap is readonly. |
|
pure virtual |
Removes a node specified by local name and namespace URI.
| namespaceURI | The namespace URI of the node to remove. |
| localName | The local name of the node to remove. When this DOMNamedNodeMap contains the attributes attached to an element, as returned by the attributes attribute of the DOMNode interface, if the removed attribute is known to have a default value, an attribute immediately appears containing the default value as well as the corresponding namespace URI, local name, and prefix. |
| DOMException | NOT_FOUND_ERR: Raised if there is no node named name in the map. NO_MODIFICATION_ALLOWED_ERR: Raised if this DOMNamedNodeMap is readonly. |
Adds a node using its nodeName
attribute.
As the nodeName
attribute is used to derive the name which the node must be stored under, multiple nodes of certain types (those that have a "special" string value) cannot be stored as the names would clash. This is seen as preferable to allowing nodes to be aliased.
| arg | A node to store in a named node map. The node will later be accessible using the value of the nodeName attribute of the node. If a node with that name is already present in the map, it is replaced by the new one. |
DOMNode
replaces an existing node the replaced DOMNode
is returned, otherwise null
is returned. | DOMException | WRONG_DOCUMENT_ERR: Raised if arg was created from a different document than the one that created the DOMNamedNodeMap . NO_MODIFICATION_ALLOWED_ERR: Raised if this DOMNamedNodeMap is readonly. INUSE_ATTRIBUTE_ERR: Raised if arg is an DOMAttr that is already an attribute of another DOMElement object. The DOM user must explicitly clone DOMAttr nodes to re-use them in other elements. |
Adds a node using its namespaceURI
and localName
.
| arg | A node to store in a named node map. The node will later be accessible using the value of the namespaceURI and localName attribute of the node. If a node with those namespace URI and local name is already present in the map, it is replaced by the new one. |
DOMNode
replaces an existing node the replaced DOMNode
is returned, otherwise null
is returned. | DOMException | WRONG_DOCUMENT_ERR: Raised if arg was created from a different document than the one that created the DOMNamedNodeMap . NO_MODIFICATION_ALLOWED_ERR: Raised if this DOMNamedNodeMap is readonly. INUSE_ATTRIBUTE_ERR: Raised if arg is an DOMAttr that is already an attribute of another DOMElement object. The DOM user must explicitly clone DOMAttr nodes to re-use them in other elements. |


We are organizing a workshop on May 20th and 22nd, 1996 to continue discussions on the BLAS. This will be a continuation to the discussions that have taken place on November 13th and 14th, 52 people attended a Workshop on Parallel BLAS and Related Interfaces at the University of Tennessee, the birds of a feather session that took place at the Supercomputer 95 meeting in San Diego in December, and the February 19-20, 1996 BLAST Forum Meeting in Nashville.
| Monday May 20 | |
|---|---|
| Embassy Suites Airport Atlanta | |
| 12:00 noon | Registration |
| 1:00 pm | Subgroups meet |
| 3:30 pm | Break |
| 4:00 pm | Subgroups meet |
| 6:00 pm | Dinner break |
| Tuesday May 21 | |
| Embassy Suites Airport Atlanta | |
| 9:00 am | Subgroups meet |
| 10:30 am | Break |
| 11:00 am | Subgroups meet |
| 12:00 pm | Lunch break |
| 1:00 pm | Discussion of subgroups |
| 2:30 pm | Break |
| 3:00 pm | Discussion of full group |
| 5:00 pm | Dinner break |
| Wednesday May 22 | |
| Embassy Suites Airport Atlanta | |
| 9:00 am | Full group meet |
| 10:30 am | Break |
| 11:00 am | Summary and Wrap-up |
| 12:00 pm | End of meeting |
If you would like to handout reports or documents during the workshop, please bring the material with you. We will not be able to reproduce large volumes of material.
We estimate an attendance of 40 persons at the maximum.
We have made arrangements with the Embassy Suites (Airport).
When making arrangements tell the hotel you are associated with the BLAST Workshop. The rooms will cost $109/night for a suite. Included in the rate is complimentary cooked to order breakfast and a 2 hour beverage break in the evening.
There will be a $75.00 registration fee, payable at the meeting, to cover the meeting room, reception, and refreshments during the breaks.
Please let me know if you are planning to attend.


Seek and Find Inc
New Order Request. See below details.
Property
[PROPERTY]
Buyer(s)
[BUYERS]
Seller(s)
[SELLERS]
Corporation
[CORP]
Purchase Price
[PURCH]
Lender
[LENDER]
Loan Amount
[LOAN]
SET COVERAGE AT [FORWARD]


@* * Copyright 2023 HM Revenue & Customs * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *@ @(form: Form[_], context: String=".", sectionP: String="", dateKey: String="")(implicit message: Messages) @defining(new scala.collection.mutable.HashSet[String]()) { set => @if(form.hasErrors) {


| RS-Welle Nr. | Fzg Nr. | Wg Nr. | Status | UT | Datum | |
|---|---|---|---|---|---|---|
| {{d.axeNr}} | {{d.fzgNr}} | {{d.wgNr}} | {{d.state}} | {{d.test}} | {{d.createdAt}} |
DataTables is a very flexible, advanced tables plugin for jQuery. In SB Admin, we are using a specialized version of DataTables built for Bootstrap 3. We have also customized the table headings to use Font Awesome icons in place of images. For complete documentation on DataTables, visit their website at https://datatables.net/.
View DataTables Documentation


{% extends "_layout.html" %} {%- import '_utils.html' as utils %} {% macro maximum_lifetime() -%}
A pastebin for all the stuff,
not just for text.
bepasty is free and open source software.
bepasty project on github


This is a Standard Post
This is what an oridnary post looks like, and you're reading a custom excerpt right now. Have fun looking around the theme, and don't forget to check it out on your phone!
Modern and minimalist. An Apex child theme.
This is what an oridnary post looks like, and you're reading a custom excerpt right now. Have fun looking around the theme, and don't forget to check it out on your phone!
Quisque dapibus, velit eget ullamcorper suscipit, sapien ligula hendrerit lectus, vitae tristique sapien velit ac lectus. Mauris ullamcorper nisi sit amet est vestibulum interdum. Integer…
Don’t like using images? No problem! Every post will still look great.
Don’t forget to load the site on your phone, tablet, and any other device you have. Morning is a truly responsive WordPress theme.
You can add beautiful, responsive WordPress galleries to any page or post. No plugin required!
This post has a lot of comments on it. See how your site will look with Morning when the discussion heats up.


Devils acquire G Louis Dominque from Lightning for ‘21 pick
NEWARK, N.J. (AP) - The New Jersey Devils have acquired goaltender Louis Domingue from the Tampa Bay Lightning for a conditional seventh-round pick in the 2021 NHL draft.
The Devils announced the deal minutes before their game Friday night against the Philadelphia Flyers.
The 27-year-old Domingue was playing with Tampa Bay’s AHL team in Syracuse. He will report to the Devils’ AHL affiliate in Binghamton.
The Lightning will receive the Devils’ seventh round pick if Domingue plays in seven regular-season games for the Devils this season, or one NHL playoff game or is traded by New Jersey prior to the 2020 draft.
Domingue has a 2-1-1 record with a 3.81 goals-against average for Syracuse. He was 21-5-0 in 26 games with the Lightning, with a .908 save percentage and 2.88 goals-against average last season. In 122 career NHL games with Tampa Bay and Arizona, he is 55-49-8 record with two shutouts.
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Methods
Instance Public methods
Source: show
# File test/integration_test.rb, line 339 def s3_files_for attachment [:thumb, :medium, :large, :original].inject({}) do |files, style| data = `curl "#{attachment.url(style)}" 2>/dev/null`.chomp t = Tempfile.new("paperclip-test") t.binmode t.write(data) t.rewind files[style] = t files end end
Source: show
# File test/integration_test.rb, line 351 def s3_headers_for attachment, style `curl --head "#{attachment.url(style)}" 2>/dev/null`.split("\n").inject({}) do |h,head| split_head = head.chomp.split(/\s*:\s*/, 2) h[split_head.first.downcase] = split_head.last unless split_head.empty? h end end


Methods summary
public
|
|
public
|
#
setup( object & $Model, array $settings = array() )
Initiate behaviour for the model using settings.
Initiate behaviour for the model using settings.
Parameters
- $Model
object $Model Model using the behaviour
- $settings
array $settings Settings to override for model.
Overrides
|
public
boolean
|
#
beforeDelete( object & $Model, boolean $cascade = true )
Run before a model is deleted, used to do a soft delete when needed.
Run before a model is deleted, used to do a soft delete when needed.
Parameters
- $Model
object $Model Model about to be deleted
- $cascade
boolean $cascade If true records that depend on this record will also be deleted
Returns
boolean Set to true to continue with delete, false otherwise
Overrides
|
public
boolean
|
#
hardDelete( object & $Model, mixed $id, boolean $cascade = true )
Permanently deletes a record.
Permanently deletes a record.
Parameters
- $Model
object $Model Model from where the method is being executed.
- $id
mixed $id ID of the soft-deleted record.
- $cascade
boolean $cascade Also delete dependent records
Returns
boolean Result of the operation.
|
public
boolean
|
#
purge( object & $Model, boolean $cascade = true )
Permanently deletes all records that were soft deleted.
Permanently deletes all records that were soft deleted.
Parameters
- $Model
object $Model Model from where the method is being executed.
- $cascade
boolean $cascade Also delete dependent records
Returns
boolean Result of the operation.
|
public
boolean
|
#
undelete( object & $Model, mixed $id = null, mixed $attributes = array() )
Restores a soft deleted record, and optionally change other fields.
Restores a soft deleted record, and optionally change other fields.
Parameters
- $Model
object $Model Model from where the method is being executed.
- $id
mixed $id ID of the soft-deleted record.
- $attributes
mixed $attributes Other fields to change (in the form of field => value)
Returns
boolean Result of the operation.
|
public
|
#
enableSoftDeletable( object & $Model, mixed $methods, boolean $enable = true )
Set if the beforeFind() or beforeDelete() should be overriden for specific
model.
Set if the beforeFind() or beforeDelete() should be overriden for specific
model.
Parameters
- $Model
object $Model Model about to be deleted.
- $methods
mixed $methods If string, method (find / delete) to enable on, if array array of
method names, if boolean, enable it for find method
- $enable
boolean $enable If specified method should be overriden.
|
public
mixed
|
#
beforeFind( object & $Model, array $queryData )
Run before a model is about to be find, used only fetch for non-deleted
records.
Run before a model is about to be find, used only fetch for non-deleted
records.
Parameters
- $Model
object $Model Model about to be deleted.
- $queryData
array $queryData Data used to execute this query, i.e. conditions, order, etc.
Returns
mixed Set to false to abort find operation, or return an array with data used to
execute query
Overrides
|
public
boolean
|
#
beforeSave( object & $Model )
Run before a model is saved, used to disable beforeFind() override.
Run before a model is saved, used to disable beforeFind() override.
Parameters
- $Model
object $Model Model about to be saved.
Returns
boolean True if the operation should continue, false if it should abort
Overrides
|
public
|
#
afterSave( object & $Model, boolean $created )
Run after a model has been saved, used to enable beforeFind() override.
Run after a model has been saved, used to enable beforeFind() override.
Parameters
- $Model
object $Model Model just saved.
- $created
boolean $created True if this save created a new record
Overrides
|


Let's play a game!
Rafi's Academic and Professional History
Bishop O'Dowd High School 2010
University of Puget Sound 2014
Code Fellows 2016
Starbucks Co. 2015-2016
HR File Representative
The Floor Show 2015
Administrative Assistant
KALW 91.7FM
Volunteer Producer


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Copyright © 2005, 2019, Oracle and/or its affiliates. All rights reserved.


Module stringutil
Various utility functions for working with strings.
Functions
| concat (...) | Concats all the given items by invoking tostring on them into one string. |
| endswith (text, value) | Tests if the given text ends with the given value. |
| hash (value) | Creates a simple hash in the range of mathutil.SIGNED_32BIT_MIN and mathutil.SIGNED_32BIT_MAX (which is roughly -2 billion to 2 billion). |
| split (text, split, trim_values) | Splits the given text using the given split value. |
| startswith (text, value) | Tests if the given text starts with the given value. |
| trim (text) | Trims the given text from any leading and trailing whitespace. |
Functions
- concat (...)
-
Concats all the given items by invoking tostring on them into one string.
Parameters:
- ... The items to concat.
Returns:
-
The concatenated items as string.
- endswith (text, value)
-
Tests if the given text ends with the given value.
Parameters:
- text The text to check if it ends with the given value.
- value The value that text should end with.
Returns:
-
true if the given text ends with the value.
- hash (value)
-
Creates a simple hash in the range of mathutil.SIGNED_32BIT_MIN and
mathutil.SIGNED_32BIT_MAX (which is roughly -2 billion to 2 billion).
Note that this is not the best string hash function there could be, but is
more than sufficient if all you want is to test a string if it is different
or if you want to create a number from a string of unknown length.
Parameters:
- value The string value to hash.
Returns:
-
The hash. Always 0 if the given string is nil or empty.
- split (text, split, trim_values)
-
Splits the given text using the given split value. Returns the splitted text
as List. If the string is empty or nil, the returned list will not contain
any entries. If the string only contains a value without a separator,
the list will contain one value, if it contains only the separator,
two empty values.
Parameters:
- text The text to split.
- split The split value.
- trim_values Optional. If the values should be trimmed, defaults to true.
Returns:
-
The list of splitted values.
- startswith (text, value)
-
Tests if the given text starts with the given value.
Parameters:
- text The text to check if it starts with the given value.
- value The value that text should start with.
Returns:
-
true if the given text starts with the value.
- trim (text)
-
Trims the given text from any leading and trailing whitespace.
Parameters:
- text The text to trim.
Returns:
-
The trimmed text.


UK
USA
Middle East
Africa
Australia
Offices open hours: 8am-6pm in each region
Office Open
Office Closed


Publications
-
Architecture Agnostic Neural Networks
Sabera Talukder*, Guruprasad Raghavan*, Yisong Yue
Workshop Oral, Neurips 2020
[15 minute video]
-
On the Benefits of Early Fusion in Multimodal Representation Learning
George Barnum*, Sabera Talukder*, Yisong Yue
Workshop, Neurips 2020
-
A Smoke Removing DC-DC Converter Composed of a Seven Stage Class DE Rectifier and a Class ϕ2 Inverter
Sabera Talukder
Electrical Engineering Honors Thesis Stanford University 2018
-
Exploring Visual Memory Formation in Drosophila melanogaster
Sabera Talukder
Biochemistry Honors Thesis Stanford University 2018
-
A Portable Electrostatic Precipitator to Reduce Respiratory Death in Rural Environments
Sabera Talukder, Sanghyeon Park, Juan Rivas-Davila
Oral, IEEE Compel 2017
Past Projects
-
Brains in Silicon Lab Researcher
As a Stanford undergrad, I built a 758,528 neuron model of the human neocortex and thalamus spanning over 15 of Neurogrid's 16 chips. Neurogrid is a biomorphic computing circuit board. At the time, the model I created was the largest hardware model of the brain in terms of number of neurons.
-
Medtronic Deep Brain Stimulation Pain Researcher
In 2013 I interned in the Neuromodulation Division at Medtronic HQ in Minneapolis. I worked in the Neuromodulation Deep Brain Stimulation Pain group and developed a procedure for pain threshold testing that replaces the traditional method of “1 to 5” pain response.
-
Pani Purification [Water Purification]
When first visiting my father’s home country of Bangladesh I saw how difficult it was for many to access clean drinking water. My experiences inspired me to create a <$25, solar-powered, easily-maintainable, UVc water purification system that I deployed in daycares for street children in Dhaka, Bangladesh.
This 3 year research project (2010-2013) led to my recognition as 1 of 5 international Google Science Fair Finalists and 1 of 13 international Scientific American Science in Action Finalists. I also spoke about my work on NPR's Science Friday, PBS's Newshour Special, HBO's Showtime, Google's Google+ Broadcast, and the California Academy of Sciences.


--- layout: admin ---
Single Select
Select2 can take a regular select box like this...
Multiple Select
Select2 can take a regular select box like this...
Input Tags
Just add data-role="tagsinput"
to your input field to automatically change it to a tags input field.
True multi value
Use a <select multiple />
as your input element for a tags input, to gain true multivalue support.
Instead of a comma separated string, the values will be set in an array. Existing <option />
elements will automatically be set as tags. This makes it also possible to create tags containing a comma.
Selectize is the hybrid of a textbox and select
box. It's jQuery-based and it's useful for tagging, contact lists, country selectors, and so on.
Basic
Add an attribute
data-plugin="switchery" data-color="@colors"
to your input element and it will be converted into switch.
Sizes & Secondary color
Add an attribute
data-size="small",data-size="large"
to your input element and it will be converted into switch.
Add an attribute
data-color="@color" data-secondary-color="@color"
to your input element and it will be converted into switch.
Create your
<select>
with the
.selectpicker
class.
It also works with option groups:
You can also show the tick icon on single select
with the show-tick
class:
And with multiple selects:
You can limit the number of elements you are allowed to select via the
data-max-option
attribute. It also works for option groups.
You can limit the number of elements you are allowed to select via the
data-max-option
attribute. It also works for option groups.
Add an icon to an option or optgroup with the data-icon
attribute:
You can add a search input by passing data-live-search="true"
attribute:
You can also use the
title
attribute as an alternative to display when the option is
selected:
Using the data-selected-text-format
attribute on a multiple select
you can specify how the selection is displayed.
Add the disabled
attribute to the select to apply the disabled
class.
Customization of input html file for Bootstrap 4


Don't Overthink It Grid
Split the screen into 12 even cells...
with a fixed-width gutter between them.
.unit-${col}
.unit-${12-col}
Give yourself a way to apply an offset or "pad" the cells...
.push-${12 - col}.unit-${col}
Cells naturally sit side-by-side with fixed-width gutters...
but should stack at "small" viewport sizes
.unit-1
.unit-1
.unit-1
.unit-1
.unit-1
.unit-1
.unit-1
.unit-1
.unit-1
.unit-1
.unit-1
.unit-1
.unit-2.push-1
.unit-3
.unit-4


I’m A Celebrity… star Caitlyn Jenner: Bruce raised my children
She spoke to campmates in the jungle.
Caitlyn Jenner has said “Bruce” raised her children and she can enjoy time with them.
She said she would always be their father “till the day I die”.
The former Olympic athlete and reality TV star said that Bruce Jenner cared for her six children before she came out as a transgender woman in 2015.
Jenner said that Caitlyn now has the pleasure of spending time with the famous family.
 Get Me Out Of Here.
The gold medal-winning star spoke with Kate Garraway in the jungle, and detailed her family relationships.
Asked if she felt like a father to her children, Jenner explained: “Bruce raised them and Caitlyn is enjoying their life with them.”

“But what they’re really good at, which shocks me all the time, is when they’re talking about me – ‘my Dad, she’ – and it’s tough to change the pronoun in the middle of it.”
Garraway and Jacqueline Jossa began the conversation as they became tearful due to missing their children.
Emotions ran high elsewhere in camp as Jossa became reluctant to enter the draw to join her fellow contestants in the sparse Jungle Jail.
Andrew Maxwell was adamant that all of the campmates should be involved in drawing straws to determine who would join the imprisoned Andy Whyment and actor Cliff Parisi.
The pair had earned eight stars in the Bush Tucker Trial, confronting spiders and buffalo, and were grateful that the camp decided to share their food.
Jenner was also taught a Girls Aloud dance routine by Nadine Coyle during some down-time in camp, with the singer saying: “Caitlyn just threw herself into it, we’ll teach her Sound Of The Underground next.”
I’m A Celebrity… Get Me Out Of Here returns tomorrow at 9pm on ITV.


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About Python
Python is a remarkably powerful dynamic programming language that is used in a wide variety of application domains. Python is often compared to Tcl, Perl, Ruby, Scheme or Java. Some of its key distinguishing features include:
- very clear, readable syntax
- strong introspection capabilities
- intuitive object orientation
- natural expression of procedural code
- full modularity, supporting hierarchical packages
- exception-based error handling
- very high level dynamic data types
- extensive standard libraries and third party modules for virtually every task
- extensions and modules easily written in C, C++ (or Java for Jython, or .NET languages for IronPython)
- embeddable within applications as a scripting interface
Python is powerful... and fast
Fans of Python use the phrase "batteries included" to describe the standard library, which covers everything from asynchronous processing to zip files. The language itself is a flexible powerhouse that can handle practically any problem domain. Build your own web server in three lines of code. Build flexible data-driven code using Python's powerful and dynamic introspection capabilities and advanced language features such as meta-classes, duck typing and decorators.
Python lets you write the code you need, quickly. And, thanks to a highly optimized byte compiler and support libraries, Python code runs more than fast enough for most applications. The traditional implementation of CPython uses a bytecode virtual machine; PyPy supports just-in-time (JIT) compilation to machine code. Also, Jython and IronPython (see below) support JIT compilation on their respective virtual machine implementations.
Python plays well with others
Python can integrate with COM, .NET, and CORBA objects.
For Java libraries, use Jython, an implementation of Python for the Java Virtual Machine.
For .NET, try IronPython , Microsoft's new implementation of Python for .NET, or Python for .NET.
Python is also supported for the Internet Communications Engine (ICE) and many other integration technologies.
If you find something that Python cannot do, or if you need the performance advantage of low-level code, you can write extension modules in C or C++, or wrap existing code with SWIG or Boost.Python. Wrapped modules appear to your program exactly like native Python code. That's language integration made easy. You can also go the opposite route and embed Python in your own application, providing your users with a language they'll enjoy using.
Python runs everywhere
Python is available for all major operating systems: Windows, Linux/Unix, OS/2, Mac, Amiga, among others. There are even versions that run on .NET and the Java virtual machine. You'll be pleased to know that the same source code will run unchanged across all implementations.
Your favorite system isn't listed here? It may still support Python if there's a C compiler for it. Ask around on news:comp.lang.python - or just try compiling Python yourself.
Python is friendly... and easy to learn
The Python newsgroup is known as one of the friendliest around. The avid developer and user community maintains a wiki, hosts international and local conferences, runs development sprints, and contributes to online code repositories.
Python also comes with complete documentation, both integrated into the language and as separate web pages. Online tutorials target both the seasoned programmer and the newcomer. All are designed to make you productive quickly. The availability of first-rate books completes the learning package.
Python is Open
The Python implementation is under an open source license that makes it freely usable and distributable, even for commercial use. The Python license is administered by the Python Software Foundation.
Take a look at application domains where Python is used, or try the current download for yourself.


Thank you for your interest the Mountain Hoops Basketball Camp.
Our spring session is over but we will be hosting a fall session. That session will start in late October or early November.
If you are interested in a Football Camp, we will be having our 2nd annual Mountain Rush football camp on July 24 and 25. Registraiton will start in early July.


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This website is selling lab and medical supply which is sell everything you need in science lab and in hospital. This include chemicals, flask, beaker, test tube, lab coat, Bunsen burner, micrometer plate and etc. Medical supply such as stethoscope, Iv Drip, Surgical Light, gloves, syringe, microscope, oxygen gauge and etc. Also if you buy more than $800 is free shipping around the world. If you are the member, you can have more opportunity to win 30% discount.


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Macro Afternoon
by Chris BeckerWeekend news of a possible resolution or movement of some kind in the US/China trade talks although the IMF is right to say this might be just domestic politics posturing as one country tries to stabilise internal struggle while the other tries to kick out a corrupt autocrat. Does it matter which? Gold fell again today as the USD continues to grow stronger, while Bitcoin revisited a monthly low, falling well below $7000.
Chinese stocks are having a much better start to the week than anticipated, with the Shanghai Composite taking back its Friday losses to be up nearly 0.7% and back above the 2900 points resistance level. The Hang Seng Index is doing twice better due to the pro-democracy voting result from the weekend, launching 1.5% higher at 27028 points. This puts price but above previous trailing ATR support and test the resistance zone at 27000 proper, setting up for a potential breakout from here:
Japanese share markets also had a strong push, helped by a much weaker Yen with Nikkei 225 closing 0.7% higher to 23292 points, as it builds above daily support levels at 23000 points. The USDJPY pair gapped higher on the Monday morning open and then advanced further, making a significant breakout on the four hourly chart above the high moving average, now ready to tackle the 69 handle:
The ASX200 is the relative laggard, up only 0.3% to advance further past the 6700 points barrier, despite the banking sector concerns as Westpac lost ground again. The Aussie dollar gapped a little higher on the open but was unable to crack the 68 handle and is slowly melting from there as the City opens, where I still expect a test of last week’s extreme low at the 67.70 level:
Both S&P and Eurostoxx futures have gapped higher, up at least 0.7% with the S&P500 four hourly chart showing price no longer anchored at the previous trailing ATR support level at 3100 points and ready to tackle the previous daily and record high of early last week at 3130 points:
The economic calendar is relatively quiet tonight with the German IFO survey and some US Treasury auctions to watch out for.
Chris Becker
Latest posts by Chris Becker (see all)
- Macro Afternoon - November 25, 2019
- Macro Morning - November 25, 2019
- Macro Afternoon - November 22, 2019


Dimitrov eases past Garin to reach Paris semi-finals
Grigor Dimitrov's solid run at the Paris Masters continued when the Bulgarian saw off Chile's Cristian Garin 6-2 7-5 to reach the semi-finals on Friday.
PARIS: Grigor Dimitrov's solid run at the Paris Masters continued when the Bulgarian saw off Chile's Cristian Garin 6-2 7-5 to reach the semi-finals on Friday.
Dimitrov, who had been struggling since being beaten in the U.S. Open semi-final in September, overcame a second-set wobble to set up a meeting with either world number one Novak Djokovic or Greek seventh seed Stefanos Tsitsipas.
Dimitrov made a quick start as he broke Garin in his first service game. The Bulgarian bagged the opening set with another break in the eighth game as nerves got the better of Garin who was contesting his first Masters quarter-final.
Dimitrov moved 2-0 up in the second set but Garin hit back with his first break of the match to level for 2-2 and he stole the 28-year-old's serve again to lead 5-4.
Dimitrov, however, broke straight back and wrapped it up on Garin's serve on his first match point.
Later on Friday, France's Gael Monfils will snatch the remaining ticket for the season-ending APT Finals if he beats Canadian Denis Shapovalov.
Should he fail, Italian Matteo Berrettini, who was eliminated in the second round here, will earn the spot for the Nov. 10-17 event at the O2 in London.
Rafael Nadal, who will take over as world number one on Monday, takes on local favorite Jo-Wilfried Tsonga in the last match of the day at Bercy.
(Reporting by Julien Pretot; Editing by Pritha Sarkar)


My name is Kundan Kumar, and I am a resourceful software developer who excels in developing better software applications and skilled in analyzing data, process improvement, and problem solving. With more than 5 years of software developing experience in successful working knowledge of algorithms, data structure, and high-scale applications.
I am currently seeking a software developing role to apply my engineering experience working for globally recognized organizations that’s heavily involved in the software development and also ignite my passion.


STEAM Camp
Brief
Chelsea School
Contents
Overview
Philosophy
Programming Fundamentals...Program
Arts and Technology
Cybersecurity and Digital Forensics Program
Game Design and Development Program
Camp Faculty
Frequently Asked Questions
Registration
Index
A
|
B
|
C
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D
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F
|
G
|
H
|
I
|
J
|
K
|
L
|
M
|
N
|
P
|
R
|
S
|
U
|
V
|
W
A
Agile
Atlassian
B
Backbox Linux
bash
best practice
break
C
camp counselors
capture the flag
careers
certification
certified ethical hacker
coding
collaboration
commenting
comments
compiled languages
compiler
CompTIA
conditional
conditionals
constants
containerization
courses
D
daily schedule
Debian
digital forensics
F
faculty
filesystem navigation
filesytem management
flow control
for loop
forensics
functions
G
git
,
[1]
Github
,
[1]
GNU/Linux
H
homework
hybrid learning
I
if/then
independent practice
information security
infosec
interpreted languages
itinerary
J
JavaScript
Jira
K
Kali Linux
L
learning management system
Linux
,
[1]
LMS
location
loop
LPI
lunch
M
malware
Microsoft
Microsoft Windows 7
MIT
Moodle
MSDE
N
Network+
P
penetration testing
post-secondary pathways
prerequisites
programming
programs
Python
R
red teaming
Ruby
S
schedule
Scratch
scripting
scrum
ScrumMaster
Security+
sessions
shell scripting
source code management
,
[1]
sprite
staff
STEAM Education
STEAM education
Stem Camp goals
STEM Education
STEM education
summary
system administration
U
Ubuntu
V
variables
virtualization
W
while loop
Windows 7


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val navigationItem: Int
an integer indicating which navigation item the activity is used for
navigationItem - an integer indicating which navigation item the activity is used for
navigationItem


|
| static int | compareValues (const XMLBigDecimal *const lValue, const XMLBigDecimal *const rValue, MemoryManager *const manager=XMLPlatformUtils::fgMemoryManager) |
| |
| static XMLCh * | getCanonicalRepresentation (const XMLCh *const rawData, MemoryManager *const memMgr=XMLPlatformUtils::fgMemoryManager) |
| |
| static void | parseDecimal (const XMLCh *const toParse, XMLCh *const retBuffer, int &sign, int &totalDigits, int &fractDigits, MemoryManager *const manager) |
| |
| static void | parseDecimal (const XMLCh *const toParse, MemoryManager *const manager) |
| |
| static XMLNumber * | loadNumber (XMLNumber::NumberType numType, XSerializeEngine &serEng) |
| |
Constructs a newly allocated XMLBigDecimal
object that represents the value represented by the string.
- Parameters
-
| strValue | the String to be converted to an XMLBigDecimal . |
| manager | Pointer to the memory manager to be used to allocate objects. |
- Exceptions
-
| NumberFormatException | if the String does not contain a parsable XMLBigDecimal. |
| XMLBigDecimal::~XMLBigDecimal |
( |
| ) |
|
| const XMLCh * XMLBigDecimal::getFormattedString |
( |
| ) |
const |
|
virtual |
Return the original and converted value of the original data.
(applicable to double/float)
The internal buffer is returned directly, user is not required to delete the returned buffer
Implements XMLNumber.
| XMLCh * XMLBigDecimal::getIntVal |
( |
| ) |
const |
| XMLCh * XMLBigDecimal::getRawData |
( |
| ) |
const |
|
virtual |
Return string representation of the decimal value.
A decimal point will be included as necessary. Similar to toString above, but the internal buffer is returned directly, user is not required to delete the returned buffer
Implements XMLNumber.
| unsigned int XMLBigDecimal::getScale |
( |
| ) |
const |
| int XMLBigDecimal::getSign |
( |
| ) |
const |
|
virtual |
Returns the sign of this number.
-1 negative 0 zero 1 positive
Implements XMLNumber.
| unsigned int XMLBigDecimal::getTotalDigit |
( |
| ) |
const |
| const XMLCh * XMLBigDecimal::getValue |
( |
| ) |
const |
| static void XMLBigDecimal::parseDecimal |
( |
const XMLCh *const |
toParse, |
|
|
XMLCh *const |
retBuffer, |
|
|
int & |
sign, |
|
|
int & |
totalDigits, |
|
|
int & |
fractDigits, |
|
|
MemoryManager *const |
manager |
|
) |
| |
|
static |
| static void XMLBigDecimal::parseDecimal |
( |
const XMLCh *const |
toParse, |
|
|
MemoryManager *const |
manager |
|
) |
| |
|
static |
| void XMLBigDecimal::setDecimalValue |
( |
const XMLCh *const |
strValue | ) |
|
| int XMLBigDecimal::toCompare |
( |
const XMLBigDecimal & |
other | ) |
const |
Compares this object to the specified object.
- Parameters
-
| other | the object to compare with. |
- Returns
-1
value is less than other's 0
value equals to other's +1
value is greater than other's
The documentation for this class was generated from the following file:


Calculates a score of a node depending on the result of the last build at which the target project ran on that node.
The score for the node is calculated by multiplying scale and result score. See followings for details.
| score of node | = | (scale) * (result score) |
|---|---|---|
| scale | = | (Scale for Scores) + (adjust scale) |
| adjust scale | = | (Scale Adjustment for Older Builds) * (# of builds from the last build) |
| result score | = | (Score for Success/Unstable/Failure Build) |
For exmaple, consider following configurations:
| Scale for Scores | = | 10 |
| Scale Adjustment for Older Builds | = | -1 |
| Score for Success Build | = | 1 |
| Score for Failure Build | = | -1 |
With a project with following builds:
| Build # | Result | Node |
|---|---|---|
| #20 | Failure | node1 |
| #19 | Failure | node2 |
| #18 | Success | node1 |
| #17 | Success | node3 |
This results in following scores for nodes.
| node1: | -10 | (for Failure in #20) |
|---|---|---|
| node2: | -9 | (for Failure in #19) |
| node3: | 7 | (for Succeed in #17) |


There are a few APIs we've selected that will help you get started.
Get Started!Quickly build and deploy chatbots and virtual agents across a variety of channels, including mobile devices, messaging platforms, and even robots. Read more
{% if question %}>{{ question }}{% endif %}
{% if response %}>{{ response }}{% endif %}
Uber for developers allows integrating Uber services in the code. One example would be getting the type of available services based on a location's latitude and longitude. Read more
The OpenWeather API provides weather data, including historical and current data, as well as forecasts. The API documentation details the functionality and usage of the different features. Read more
Tweepy integrates Twitter within websites. It can provide trending topic information in relation to a specific hashtag. Read more
FoursquareAPI helps you find the perfect places for food and entertainment in your area and see information about specific venues. Read more
LeafletJS is a user-friendly and interactive mapping platform for developers that allows displaying maps and building applications using JavaScript. Read more


Let $I$ = $ \int_{4}^5 f(x) dx $  ,   where $ f(x) = \frac{x}{1 + x^2} $
Then, $2I$ can be writen as $\ln{\frac{p}{q}}$, where p and q are coprime.
What is the value of $ p + q $?


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Rebelo\SaftPt\AuditFile\TransactionID::__construct
TransactionID <p> The key must be built in such a way that it is unique and the only one that corresponds to the number of the accounting document, which is used to detect the physical document in the archive.
So it shall result from linking together, separated by spaces, the following elements: TransactionDate, JournalID and DocArchivalNumber. </p> <pre> <xs:element name="TransactionID" type="SAFPTTransactionID"/> <xs:simpleType name="SAFPTTransactionID"> <xs:restriction base="xs:string"> <xs:pattern value="[1-9][0-9]{3}-[01][0-9]-[0-3][0-9] [^ ]{1,30} [^ ]{1,20}"/> <xs:minLength value="1"/> <xs:maxLength value="70"/> </xs:restriction> </xs:simpleType> </pre>
Signature
public function __construct(ErrorRegister
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Chapter 7 Hypothesis Testing
The sampling distribution of the mean helps us to make hypotheses about the likelihood that a given sample mean comes from a sampling distribution with a given mean.
Stated differently, a hypothesis test helps us determine whether the observed difference between a sample mean and a hypothetical population mean is either negligible or meaningful.
The Null Hypothesis \(H_o : \mu = some value\) The alternative Hypothesis \(H_o : != \mu = some value\)
The Alternative Hypothesis
A sample mean of a given sample size is produced and compared to the hypothetical sampling distribution’s mean to test the null hypothesis
Imagine we know the population (for some reason) and the True value is 455.
The hypothesis test is based on inference (i.e., inductive reasoning), and therefore there is a chance that mistaken inferences will be made.
The 2 ×2 matrix of decision outcomes given the state of nature and the decision made
A Type I erroris produced when we mistakenly reject the null. It is associated with probability alpha (\(\alpha\)), or the level of significance.
We conventionally set this level to be .05in psychology, but there are considerations to be made for increasing or decreasing this value (e.g., .01 or .10).
A Type II erroris produced when we mistakenly fail to reject the null. It is associated with probability beta (\(\beta\)), which is related to, but not the same as, alpha.
The level of significance creates the bounds for the rejection region—the extreme region(s) under the sampling distribution equal to αif the null hypothesis is true.
The directionality of the test should also be considered.
Hypothesis tests differ slightly when population parameters, such as \(\sigma^2\), are known versus unknown.
The general formula for a test statistic \(Statistic - parameter /SE\)
When \(\sigma^2\)is known, we use the standard error of the normal distribution as the denominator. The result is the ztest.
Z TEST FORMULA
STANDARD ERROR HERE
When \(\sigma^2\) is unknown, we use the t distributionas our sampling distribution, with a standard error that must be estimated from \(s^2\) or \(s\). The result is the ttest.
T TEST AND STANDARD ERROR FORMULA HERE
Left off on Page 11 in onesampleNHST.png
The concept of degrees of freedom (df)must be considered for the ttest. For each sample drawn, df= n–1.
VARIANCE FORMULSA
7.1 Steps of Hypothesis Testing
On a standardized anagram task, \(\mu\)= 26 anagrams solved with a \(\simga\)= 4. A researcher tests whether the arousal from anxiety is distracting and will decrease performance. A sample of \(n\)= 14 anxiety patients is tested on the task. There average performance is 23.36 anagrams.
Step one: State the null and alternative hypotheses
$H_O = : = 26 $ $H_O = : != 26 $
Consider directionality.
Step two: Set the criterion for rejecting H0. Alpha is usually set to .05, but could be other values depending on the research context. Again, directionality is important to consider.
Step three: Select the sample and collect your data.
Step four: Locate the region of rejection and the critical value(s) of your test statistic. Again, directionality is important to consider.
Step five: Compute the appropriate test statistic. σis known, so we use the ztest.
Step six: Decide whether to reject H0. Is -2.47 more extreme than the critical value?
Step five: Compute the appropriate test statistic. \(\sigma\) is unknown, so we use the ttest.
Step six: Decide whether to reject H0. Is -3.00 more extreme than the critical value? df= 13, look up critical value in table C.3 and find ±1.77.
T distribution here
How do we report this result in a typical research article? “The mean number of anagrams solved by anxiety patients (M= 23.36) was significantly lower than the mean established by test norms (M= 26), t(13) = 3.00, p< .05.” Sometimes you’ll find people report the pvalue lower than .01 if it passes this criterion as well. For example, t(13) = 3.00, p< .01. Don’t be confused by the meaning of this, however.
7.1.1 Other important considerations.
The hypothesis test is a test of the NULL hypothesis, assuming that the null is true. Thus, the test gives you the probability of your sample mean being that different (or more) from the population mean by chance IFFthe null is true.
Statistical significance is not the same as practical significance.
Being able to report the result of a hypothesis test statistically versus being able to describe the result to a lay person. Relate the inference back to the original research question!
7.2 Two Sample
In cases where we wish to compare two sample means, the hypothesis testing logic is essentially the same as with the one-sample tests, with some slight differences in the null hypothesis, in the sampling distribution, and in the computation. When different people (or animals) contributed to the two samples, the comparison distribution that represents the null hypothesis is a sampling distribution of differences between means. The hypothesis test is therefore referred to as an independent-samples test.
When both sample means were produced by the same participants, we conduct what is known as a dependent-samples test. This is a test of the average difference between the scores in one condition and the scores in another condition—thus, the unit of measurement is a difference score.
Nondirectional Null Hypothesis $H_O : _1 - _2 = 0 | H_O : _1 = _2 $ Nondirectional Alternative Hypothesis $H_a : _1 - _2 != 0 | H_a : _1 = _2 $
Directional Null Hypothesis $H_O : _1 > _2 | _1 < _2 $ Directional Alternative Hypothesis $H_a : _1 < _2 | H_a : _1 > _2 $
This is basically a subtraction of one sampling distribution from another, to produce a distribution of possible differences between sampling distributions. $ _1 - _2$ * The mean of this sampling distribution is $ _1 - _2$ * The shape of this sampling distribution is approximately normal. * When 2is known for each distribution, the standard error of the difference between means is
s2is considered a pooled estimateof the population variance because the individual estimates are literally summed together in the computation:
\(s^2 = \frac{SS_1 + SS_2}{n_1 + n_2 -2}\)
If you know the individual group variances or standard deviations, then
\(s^2 = \frac{(n_1 - 1)s_1^2 + (n_2 - 1)s_2^2}{n_1 + n_2 -2}\)
\(t = \frac{(\bar{X_1}-\bar{X_2})-(\bar{\mu_1}-\bar{\mu_2})}{s_{\bar{X_1}-\bar{X_2}}}\)
Example of the independent samples ttest
The instructor of an introductory psychology course is interested in knowing if there is a difference in the mean grades on the final exam between the fall and spring semester classes. Summary data for the two samples is below:
Are the final exam grades for the two classes equivalent?
Step one: State the null and alternative hypotheses \(H_o:\mu_1 = \mu_2\) \(H_a:\mu_1 != \mu_2\)
b.Step two: Set the criterion for rejecting H0. Alpha is usually set to .05, but could be other values depending on the research context. Make sure you’ve considered directionality! c.Step three: Select the sample and collect your data. d.Step four: Locate your region of rejection and critical values.
Locate your region of rejection and critical values.
\(t_{cv,dv=298, \alpha=.05}= +/- 1.96\)
Step five: Compute the appropriate statistic. We were never given \(\sigma\) or \(\sigma^2\), so we use the t test.
Step six: Decide whether to reject H0. Is -4.86 more extreme than the critical value?
\(t_{cv,dv=298, \alpha=.05}= +/- 1.96\)
The effect sizerefers to the magnitude of the phenomenon being tested and is calculated as
This statistic reflects the standardized distance between two populationmeans. J. Cohen provides guidelines to interpret the value of d:
“The average final exam score from the fall semester (M= 82.4) was significantly lower than the average score from the spring semester (M= 84.2), t(298) = 4.86, p< .05.”
Small: = 0.25Medium: = 0.50Large: = 1.0
“The average final exam score from the fall semester (M= 82.4) was significantly lower than the average score from the spring semester (M= 84.2), t(298) = 4.86, p< .05, Cohen’s d= 0.53.”


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The LA bike sharing data provided numerous interesting fact and insights that would be worth further investigation. However due to the limitations of my machine, I worked with a random sample of 30000 for most of these figures. I used a mixture of numpy, pandas, and matplotlib to analyze the data and produce these figures. For the frontend I used a template named minimal mistakes which was github pages supported.
One of the most interesting aspects of the dataset was that each ride included a unique bike id. Using this information, I counted the number of rides per bike and preformed calculations to find the normal distribution of the data. I believe this is particularly interesting as it can be used to estimate various another metric such as the avg wear for each bike. More ambitiously, it could be used, along with some other metrics, to discover the depreciation value of the bike.
These figures verify some assumptions that I held. The bike sharing service is more used during the summer months, and the service is more used during waking hours. However, there were some interesting information that can be gleamed from this. For instance, looking at the right figure the bike sharing service has three peaks over the course of a day, which correspond to the beginning of work, lunch time, and end of work.
From these figures the data, showed that customers opted more towards the 30-day option. This leads me to a couple questions. Does pricing of the options have any influence into this result? Is this result a matter of commitment, i.e. is a year too much commitment for this service? Does the revenue model have an effect in this result?
The information provided by this metric is rather novel, as the information leads to some more interesting questions. For instance, where are the geographic locations of these stations?
The average distance travel is 9.3 km
This metric was calculated by taking all the rides where the stations were different. Then converting the latitude and longitude to into kilometer, and avg all the results.
There are 91203 rides made by users that used the service for daily commute
I could not determine the number of users in particular that used this service as part of their dialy commute. This is because tbat dataset provided does not include enough data to determine the user base of the service. So, if I was given information like user id in the dataset, I could generate a more proper answer to the question of number of users for daily commute. While I cannot make assumptions for the number of daily commuters, I have provided information pertaining to the number of rides from members. This was derived by aggregating the number of different plans and subtracting the one off rides.
Many questions mentioned on this page were left unanswered. However, given more time I would like to answer these questions, and provide a more complete analysis of this dataset.


When everyone wants to do things their way, there will be chaos.
If you work with developers vith various talents, you’ll understand the quote above. There is a way to leverage this scenario, and that is to have small teams take responsibilities of various aspects of your product(s). This encourages ownership hence, higher productivity. But you have to make sure there are solid structures in place. This brings us back to the topic “SOA (Service Oriented Architecture) and Continuous Deployment”. You can read more about SOAs by Martin Fowler from here.
We currently adviced our team to embrace Microservices(using this synonymously with SOAs) and Continuous Deployment. Though it was a bit difficult at the beginning, we are very happy now. Not only has productivity gone up, we are happier as developers. After the team was encouraged to look at docker, we settled on dokku which is like a mini-Heroku, based on docker. As developers, we love to automate stuff, hence the reason for settling with something “similar” to Heroku.
With this architecture, individual teams could decide on the languages and frameworks they want to use and we still get a unified environment for various services. Docker is a linux container engine and fun to play with. Dokku sits on top of this (with 100 lines of bash script), to deliver continuous git deployment. I suggest playing with docker for a while before moving to dokku, and you might not even want dokku for your use case. Dokku does not support multiple hosts, that’s why we are all waiting for Flynn, which currently has 15+ sponsors.


udev is targeted at Linux kernels 2.6 and beyond to provide a userspace solution for a dynamic /dev directory, with persistent device naming. The previous /dev implementation, devfs, is now deprecated, and udev is seen as the successor.
Background: udev and sysfs
The original /dev directories were just populated with every device that might possibly appear in the system. /dev directories were typically very large because of this. devfs came along to provide a more manageable approach (noticeably, it only populated /dev with hardware that is plugged into the system), as well as some other functionality, but the system proved to have problems which could not be easily fixed.
udev is the “new” way of managing /dev directories, designed to clear up some issues with previous /dev implementations, and provide a robust path forward. In order to create and name /dev device nodes corresponding to devices that are present in the system, udev relies on matching information provided by sysfs with rules provided by the user.
sysfs is a new filesystem to the 2.6 kernels. It is managed by the kernel, and exports basic information about the devices currently plugged into your system. udev can use this information to create device nodes corresponding to your hardware. sysfs is mounted at /sys and is browseable.
what udev rule can do?
udev rules are flexible and very powerful. Here are some of the things you can use rules to achieve:
Rename a device node from the default name to something else
Provide an alternative/persistent name for a device node by creating a symbolic link to the default device node
Name a device node based on the output of a program
Change permissions and ownership of a device node
Launch a script when a device node is created or deleted (typically when a device is attached or unplugged)
Rename network interfaces
Built-in persistent naming schemes
udev provides persistent naming for some device types out of the box. This is a very useful feature, and in many circumstances means that your journey ends here: you do not have to write any rules.
udev provides out-of-the-box persistent naming for storage devices in the /dev/disk directory. To view the persistent names which have been created for your storage hardware, you can use the following command:
This works for all storage types.
Rule writing
These udev rule files are kept in the /etc/udev/rules.d directory, and they all must have the .rules suffix, and parsed in lexical order, and in some circumstances, the order in which rules are parsed is important.
Rule syntax
Each rule is constructed from a series of key-value pairs, which are separated by commas. match keys are conditions used to identify the device which the rule is acting upon. When all match keys in a rule correspond to the device being handled, then the rule is applied and the actions of the assignment keys are invoked. Every rule should consist of at least one match key and at least one assignment key. e.g. KERNEL==”hdb”, NAME=”my_special_disk”
Basic Rules
udev provides several different match keys which can be used to write rules which match devices very precisely. Some of the most common keys are introduced below, others will be introduced later in this document. For a complete list, see the udev man page.
KERNEL - match against the kernel name for the device
SUBSYSTEM - match against the subsystem of the device
DRIVER - match against the name of the driver backing the device
After you have used a series of match keys to precisely match a device, udev gives you fine control over what happens next, through a range of assignment keys. For a complete list of possible assignment keys, see the udev man page.
The most basic assignment keys are introduced below. Others will be introduced later in this document.
NAME - the name that shall be used for the device node
SYMLINK - a list of symbolic links which act as alternative names for the device node
As hinted above, udev only creates one true device node for one device. If you wish to provide alternate names for this device node, you use the symbolic link functionality. With the SYMLINK assignment, you are actually maintaining a list of symbolic links, all of which will be pointed at the real device node. To manipulate these links, we introduce a new operator for appending to lists: +=. You can append multiple symlinks to the list from any one rule by separating each one with a space.
example #1:
KERNEL=="hdb", NAME="my_spare_disk"
The above rule says: match a device which was named by the kernel as hdb, and instead of calling it hdb, name the device node as my_spare_disk. The device node appears at /dev/my_spare_disk.
example #2:
KERNEL=="hdb", DRIVER=="ide-disk", SYMLINK+="sparedisk"
The above rule says: match a device which was named by the kernel as hdb AND where the driver is ide-disk. Name the device node with the default name and create a symbolic link to it named sparedisk.
### Matching sysfs attributes and find them from sysfs
To make the match criteria more granular, usually it is needed to get attributes from sysfs, which is exposed through /sys/.
There is linux tool "udevadm" which can retrieve sysfs information and show it in a proper way:
e.g. to get a disk /dev/sda info, this can be done below:
Another example, there are many USB serail adapters are connected to the same linux box, they are named as based on the time it is plugged. So sometimes it is very important to create a persistent name based on the USB port it is connected to.
e.g. I want "/dev/ttyUSB0" named as /dev/UUT03 no matter when it is pluggeed into the box. to achieve that, the following rule is needed:
Please note if you are adding a new rule, you need possible restart udev by "udevadm control --reload-rules"
For network devices, there is no entry under /dev/, but still you can find sysfs info using udevadm command, e.g.
From the output, we can see that the device has MAC address "00:1b:21:9b:11:d1", and we could possiblely to make the device name to be something else like "myLan"
KERNEL=="eth*", ATTR{address}=="00:1b:21:9b:11:d1", NAME="myLan"
### monitor udev event
udevadm can show udev event so that you could learn better about the device.
# Reference:
http://reactivated.net/writing_udev_rules.html


pan pies our pals sourdough bread fundraisers say hi swag menu
Reservation Policy
We accept parties of 8 persons or less only. We are only able to accept two parties of 8 per evening. We are unable to accept parties larger than 8, as our dining room is too small and it impacts the flow of service. We will only accept one party of 8 on Fridays or Saturdays, before 5:30pm. We do not split larger parties to two tables.
 We can take reservations in advance or same day. Call<PHONE_NUMBER> for reservations.
If you have questions about the reservation policy, please contact the owners at<EMAIL_ADDRESS>Thanks for understanding!!
4935 NE 42ND Avenue | Portland, Oregon
503-288-4899
@redsaucepizza
HOURS
Sunday-Thursday
4:30-9pm
Friday and Saturday
4:30-9pm


| Source | Destination | Fare | Price | Distance | Value |
|---|
The aim of faremap is to display beautifully the cost of train travel in the UK.
faremap was developed by Jake Cracknell
(LinkedIn,
Twitter,
OpenStreetMap).
The source code is available on GitHub.
With thanks to Chris Zetter for his
blog post
which provided a starting point for this project.
For information and inspiration, I thank
Geoff Marshall,
Mike Whitaker,
Matthew Somerville
and Paul Kelly.
Train fares data under licence from RSP (May 2019).
Powered by TfL Open Data (Oyster fares, station and line information)
Contains OS data © Crown copyright and database rights 2016
Station usage figures from ORR
and TfL
and a FOI request


DeviceHealthScriptRunSummary extends Entity
DeviceHealthScriptRunSummary class
Tags
Table of Contents
- $_propDict : array<string|int, mixed>
- The array of properties available to the model
- __construct() : mixed
- Construct a new Entity
- getDetectionScriptErrorDeviceCount() : int|null
- Gets the detectionScriptErrorDeviceCount Number of devices on which the detection script execution encountered an error and did not complete
- getDetectionScriptNotApplicableDeviceCount() : int|null
- Gets the detectionScriptNotApplicableDeviceCount Number of devices for which the detection script was not applicable
- getDetectionScriptPendingDeviceCount() : int|null
- Gets the detectionScriptPendingDeviceCount Number of devices which have not yet run the latest version of the device health script
- getId() : string|null
- Gets the id Read-only.
- getIssueDetectedDeviceCount() : int|null
- Gets the issueDetectedDeviceCount Number of devices for which the detection script found an issue
- getIssueRemediatedCumulativeDeviceCount() : int|null
- Gets the issueRemediatedCumulativeDeviceCount Number of devices that were remediated over the last 30 days
- getIssueRemediatedDeviceCount() : int|null
- Gets the issueRemediatedDeviceCount Number of devices for which the remediation script was able to resolve the detected issue
- getIssueReoccurredDeviceCount() : int|null
- Gets the issueReoccurredDeviceCount Number of devices for which the remediation script executed successfully but failed to resolve the detected issue
- getLastScriptRunDateTime() : DateTime|null
- Gets the lastScriptRunDateTime Last run time for the script across all devices
- getNoIssueDetectedDeviceCount() : int|null
- Gets the noIssueDetectedDeviceCount Number of devices for which the detection script did not find an issue and the device is healthy
- getODataType() : string|null
- Gets the ODataType
- getProperties() : array<string|int, mixed>
- Gets the property dictionary of the Entity
- getRemediationScriptErrorDeviceCount() : int|null
- Gets the remediationScriptErrorDeviceCount Number of devices for which the remediation script execution encountered an error and did not complete
- getRemediationSkippedDeviceCount() : int|null
- Gets the remediationSkippedDeviceCount Number of devices for which remediation was skipped
- jsonSerialize() : array<string|int, mixed>
- Serializes the object by property array Manually serialize DateTime into RFC3339 format
- setDetectionScriptErrorDeviceCount() : DeviceHealthScriptRunSummary
- Sets the detectionScriptErrorDeviceCount Number of devices on which the detection script execution encountered an error and did not complete
- setDetectionScriptNotApplicableDeviceCount() : DeviceHealthScriptRunSummary
- Sets the detectionScriptNotApplicableDeviceCount Number of devices for which the detection script was not applicable
- setDetectionScriptPendingDeviceCount() : DeviceHealthScriptRunSummary
- Sets the detectionScriptPendingDeviceCount Number of devices which have not yet run the latest version of the device health script
- setId() : Entity
- Sets the id Read-only.
- setIssueDetectedDeviceCount() : DeviceHealthScriptRunSummary
- Sets the issueDetectedDeviceCount Number of devices for which the detection script found an issue
- setIssueRemediatedCumulativeDeviceCount() : DeviceHealthScriptRunSummary
- Sets the issueRemediatedCumulativeDeviceCount Number of devices that were remediated over the last 30 days
- setIssueRemediatedDeviceCount() : DeviceHealthScriptRunSummary
- Sets the issueRemediatedDeviceCount Number of devices for which the remediation script was able to resolve the detected issue
- setIssueReoccurredDeviceCount() : DeviceHealthScriptRunSummary
- Sets the issueReoccurredDeviceCount Number of devices for which the remediation script executed successfully but failed to resolve the detected issue
- setLastScriptRunDateTime() : DeviceHealthScriptRunSummary
- Sets the lastScriptRunDateTime Last run time for the script across all devices
- setNoIssueDetectedDeviceCount() : DeviceHealthScriptRunSummary
- Sets the noIssueDetectedDeviceCount Number of devices for which the detection script did not find an issue and the device is healthy
- setODataType() : Entity
- Sets the ODataType
- setRemediationScriptErrorDeviceCount() : DeviceHealthScriptRunSummary
- Sets the remediationScriptErrorDeviceCount Number of devices for which the remediation script execution encountered an error and did not complete
- setRemediationSkippedDeviceCount() : DeviceHealthScriptRunSummary
- Sets the remediationSkippedDeviceCount Number of devices for which remediation was skipped
Properties
$_propDict
The array of properties available to the model
protected
array<string|int, mixed>
$_propDict
Methods
__construct()
Construct a new Entity
public
__construct([array<string|int, mixed> $propDict = array() ]) : mixed
Parameters
- $propDict : array<string|int, mixed> = array()
-
A list of properties to set
Return values
mixed —getDetectionScriptErrorDeviceCount()
Gets the detectionScriptErrorDeviceCount Number of devices on which the detection script execution encountered an error and did not complete
public
getDetectionScriptErrorDeviceCount() : int|null
Return values
int|null —The detectionScriptErrorDeviceCount
getDetectionScriptNotApplicableDeviceCount()
Gets the detectionScriptNotApplicableDeviceCount Number of devices for which the detection script was not applicable
public
getDetectionScriptNotApplicableDeviceCount() : int|null
Return values
int|null —The detectionScriptNotApplicableDeviceCount
getDetectionScriptPendingDeviceCount()
Gets the detectionScriptPendingDeviceCount Number of devices which have not yet run the latest version of the device health script
public
getDetectionScriptPendingDeviceCount() : int|null
Return values
int|null —The detectionScriptPendingDeviceCount
getId()
Gets the id Read-only.
public
getId() : string|null
Return values
string|null —The id
getIssueDetectedDeviceCount()
Gets the issueDetectedDeviceCount Number of devices for which the detection script found an issue
public
getIssueDetectedDeviceCount() : int|null
Return values
int|null —The issueDetectedDeviceCount
getIssueRemediatedCumulativeDeviceCount()
Gets the issueRemediatedCumulativeDeviceCount Number of devices that were remediated over the last 30 days
public
getIssueRemediatedCumulativeDeviceCount() : int|null
Return values
int|null —The issueRemediatedCumulativeDeviceCount
getIssueRemediatedDeviceCount()
Gets the issueRemediatedDeviceCount Number of devices for which the remediation script was able to resolve the detected issue
public
getIssueRemediatedDeviceCount() : int|null
Return values
int|null —The issueRemediatedDeviceCount
getIssueReoccurredDeviceCount()
Gets the issueReoccurredDeviceCount Number of devices for which the remediation script executed successfully but failed to resolve the detected issue
public
getIssueReoccurredDeviceCount() : int|null
Return values
int|null —The issueReoccurredDeviceCount
getLastScriptRunDateTime()
Gets the lastScriptRunDateTime Last run time for the script across all devices
public
getLastScriptRunDateTime() : DateTime|null
Return values
DateTime|null —The lastScriptRunDateTime
getNoIssueDetectedDeviceCount()
Gets the noIssueDetectedDeviceCount Number of devices for which the detection script did not find an issue and the device is healthy
public
getNoIssueDetectedDeviceCount() : int|null
Return values
int|null —The noIssueDetectedDeviceCount
getODataType()
Gets the ODataType
public
getODataType() : string|null
Return values
string|null —The ODataType
getProperties()
Gets the property dictionary of the Entity
public
getProperties() : array<string|int, mixed>
Return values
array<string|int, mixed> —The list of properties
getRemediationScriptErrorDeviceCount()
Gets the remediationScriptErrorDeviceCount Number of devices for which the remediation script execution encountered an error and did not complete
public
getRemediationScriptErrorDeviceCount() : int|null
Return values
int|null —The remediationScriptErrorDeviceCount
getRemediationSkippedDeviceCount()
Gets the remediationSkippedDeviceCount Number of devices for which remediation was skipped
public
getRemediationSkippedDeviceCount() : int|null
Return values
int|null —The remediationSkippedDeviceCount
jsonSerialize()
Serializes the object by property array Manually serialize DateTime into RFC3339 format
public
jsonSerialize() : array<string|int, mixed>
Return values
array<string|int, mixed> —The list of properties
setDetectionScriptErrorDeviceCount()
Sets the detectionScriptErrorDeviceCount Number of devices on which the detection script execution encountered an error and did not complete
public
setDetectionScriptErrorDeviceCount(int $val) : DeviceHealthScriptRunSummary
Parameters
- $val : int
-
The detectionScriptErrorDeviceCount
Return values
DeviceHealthScriptRunSummary —setDetectionScriptNotApplicableDeviceCount()
Sets the detectionScriptNotApplicableDeviceCount Number of devices for which the detection script was not applicable
public
setDetectionScriptNotApplicableDeviceCount(int $val) : DeviceHealthScriptRunSummary
Parameters
- $val : int
-
The detectionScriptNotApplicableDeviceCount
Return values
DeviceHealthScriptRunSummary —setDetectionScriptPendingDeviceCount()
Sets the detectionScriptPendingDeviceCount Number of devices which have not yet run the latest version of the device health script
public
setDetectionScriptPendingDeviceCount(int $val) : DeviceHealthScriptRunSummary
Parameters
- $val : int
-
The detectionScriptPendingDeviceCount
Return values
DeviceHealthScriptRunSummary —setId()
Sets the id Read-only.
public
setId(string $val) : Entity
Parameters
- $val : string
-
The id
Return values
Entity —setIssueDetectedDeviceCount()
Sets the issueDetectedDeviceCount Number of devices for which the detection script found an issue
public
setIssueDetectedDeviceCount(int $val) : DeviceHealthScriptRunSummary
Parameters
- $val : int
-
The issueDetectedDeviceCount
Return values
DeviceHealthScriptRunSummary —setIssueRemediatedCumulativeDeviceCount()
Sets the issueRemediatedCumulativeDeviceCount Number of devices that were remediated over the last 30 days
public
setIssueRemediatedCumulativeDeviceCount(int $val) : DeviceHealthScriptRunSummary
Parameters
- $val : int
-
The issueRemediatedCumulativeDeviceCount
Return values
DeviceHealthScriptRunSummary —setIssueRemediatedDeviceCount()
Sets the issueRemediatedDeviceCount Number of devices for which the remediation script was able to resolve the detected issue
public
setIssueRemediatedDeviceCount(int $val) : DeviceHealthScriptRunSummary
Parameters
- $val : int
-
The issueRemediatedDeviceCount
Return values
DeviceHealthScriptRunSummary —setIssueReoccurredDeviceCount()
Sets the issueReoccurredDeviceCount Number of devices for which the remediation script executed successfully but failed to resolve the detected issue
public
setIssueReoccurredDeviceCount(int $val) : DeviceHealthScriptRunSummary
Parameters
- $val : int
-
The issueReoccurredDeviceCount
Return values
DeviceHealthScriptRunSummary —setLastScriptRunDateTime()
Sets the lastScriptRunDateTime Last run time for the script across all devices
public
setLastScriptRunDateTime(DateTime $val) : DeviceHealthScriptRunSummary
Parameters
- $val : DateTime
-
The lastScriptRunDateTime
Return values
DeviceHealthScriptRunSummary —setNoIssueDetectedDeviceCount()
Sets the noIssueDetectedDeviceCount Number of devices for which the detection script did not find an issue and the device is healthy
public
setNoIssueDetectedDeviceCount(int $val) : DeviceHealthScriptRunSummary
Parameters
- $val : int
-
The noIssueDetectedDeviceCount
Return values
DeviceHealthScriptRunSummary —setODataType()
Sets the ODataType
public
setODataType(string $val) : Entity
Parameters
- $val : string
-
The ODataType
Return values
Entity —setRemediationScriptErrorDeviceCount()
Sets the remediationScriptErrorDeviceCount Number of devices for which the remediation script execution encountered an error and did not complete
public
setRemediationScriptErrorDeviceCount(int $val) : DeviceHealthScriptRunSummary
Parameters
- $val : int
-
The remediationScriptErrorDeviceCount
Return values
DeviceHealthScriptRunSummary —setRemediationSkippedDeviceCount()
Sets the remediationSkippedDeviceCount Number of devices for which remediation was skipped
public
setRemediationSkippedDeviceCount(int $val) : DeviceHealthScriptRunSummary
Parameters
- $val : int
-
The remediationSkippedDeviceCount


Mindfulness training and techniques develop our analytical awareness to complement our subjective self awareness to compelete this wisdom.
Self awareness gives us an understanding of what we are doing, our strengths and weaknesses, of our likes and dislikes, of our own personality, of our emotions it is subjective.
Mindfulness gives us realisation and recall. it is a form of awareness, but is analytical giving us observations without judgement. It is objective.
Body Scan
I have to admit it felt a bit silly focusing on different parts of my body xD making it difficult to focus.
Journaling
My experience journaling made me feel a bit uncomfortable with myself. I found listing my strengths difficult as i am a bit averse to self praise. While i found my self with a very long list of weaknesses. I noted that i seem to have alot of simple pleasures and found it difficult to list annoyances.
That we are all human xD. Feelings are natural and how we react and respond to them is what counts :).


Man and woman arrested in connection with murder of man in Leixlip last year
by NewstalkA man and a woman have been arrested in connection with the murder of a man in Co Kildare over a year ago.
50-year-old Clive Staunton was shot outside a house on Glen Easton Way in Leixlip shortly after 9pm on 15th November 2018.
Emergency services treated him for serious injuries at the scene, but he was later pronounced dead.
Gardaí arrested a man and woman today in connection with the investigation into the shooting.
They are currently being held in relation to the murder at Kildare Garda stations under section 50 of the Criminal Justice Act 2007.


Ping-Pong
Let's play!
Rules
Ping Pong will count up to a number (up to 1000), from 1 (or down from -1) with the following exceptions:
- Numbers divisible by 3 become "ping".
- Numbers divisible by 5 become "pong".
- Numbers divisible by 3 and 5 become "pingpong".


Pydoop transparently supports reading and writing Avro records in MapReduce applications (for now, only with Hadoop 2). The following program implements a (slightly modified) version of the color count example from the Avro docs:
from collections import Counter
import pydoop.mapreduce.api as api
import pydoop.mapreduce.pipes as pp
from pydoop.avrolib import AvroContext
class Mapper(api.Mapper):
def map(self, ctx):
user = ctx.value
color = user['favorite_color']
if color is not None:
ctx.emit(user['office'], Counter({color: 1}))
class Reducer(api.Reducer):
def reduce(self, ctx):
s = sum(ctx.values, Counter())
ctx.emit('', {'office': ctx.key, 'counts': s})
def __main__():
factory = pp.Factory(mapper_class=Mapper, reducer_class=Reducer)
pp.run_task(factory, private_encoding=True, context_class=AvroContext)
The application counts the per-office occurrence of favorite colors in a dataset of user records with the following structure:
{
"namespace": "example.avro",
"type": "record",
"name": "User",
"fields": [
{"name": "office", "type": "string"},
{"name": "name", "type": "string"},
{"name": "favorite_number", "type": ["int", "null"]},
{"name": "favorite_color", "type": ["string", "null"]}
]
}
User records are read from an Avro container stored on HDFS, and results are written to another Avro container with the following schema:
{
"namespace": "example.avro",
"type": "record",
"name": "Stats",
"fields": [
{"name": "office", "type": "string"},
{"name": "counts", "type": {"type": "map", "values": "long"}}
]
}
Pydoop transparently serializes and/or deserializes Avro data as needed, allowing you to work directly with Python dictionaries. To get this behavior, you have to set the context class to AvroContext, as shown above. Moreover, when launching the application with pydoop submit, you have to enable Avro I/O and specify the output schema as follows:
export STATS_SCHEMA=$(cat stats.avsc)
pydoop submit \
-D pydoop.mapreduce.avro.value.output.schema="${STATS_SCHEMA}" \
--avro-input v --avro-output v \
--upload-file-to-cache color_count.py \
color_count input output
The --avro-input v and --avro-output v flags specify that we want to work with Avro records on MapReduce values; the other possible choices are "k", where records are exchanged over keys, and "kv", which assumes that the top-level record structure has two fields named "key" and "value" and passes the former on keys and the latter on values.
Note that we did not have to specify any input schema: in this case, Avro automatically falls back to the writer schema, i.e., the one that’s been used to write the container file.
The examples/avro directory contains examples for all I/O modes.
The above example focuses on Avro containers. However, Pydoop supports any input/output format that exchanges Avro records. In particular, it can be used to read from and write to Avro-Parquet files, i.e., Parquet files that use the Avro object model.
Note
Make sure you have Parquet version 1.6 or later to avoid running into object reuse problems. More generally, the record writer must be aware of the fact that records passed to its write method are mutable and can be reused by the caller.
The following application reproduces the k-mer count example from the ADAM docs:
import pydoop.mapreduce.api as api
import pydoop.mapreduce.pipes as pp
from pydoop.avrolib import AvroContext
WIDTH = 21
def window(s, width):
for i in xrange(len(s) - width + 1):
yield s[i:i+width]
class Mapper(api.Mapper):
def map(self, ctx):
seq = ctx.value['sequence']
for kmer in window(seq, WIDTH):
ctx.emit(kmer, 1)
class Reducer(api.Reducer):
def reduce(self, ctx):
ctx.emit(ctx.key, sum(ctx.values))
def __main__():
pp.run_task(
pp.Factory(mapper_class=Mapper, reducer_class=Reducer),
context_class=AvroContext
)
To run the above program, execute pydoop submit as follows:
export PROJECTION=$(cat projection.avsc)
pydoop submit \
-D parquet.avro.projection="${PROJECTION}" \
--upload-file-to-cache kmer_count.py \
--input-format parquet.avro.AvroParquetInputFormat \
--avro-input v --libjars "path/to/the/parquet/jar" \
kmer_count input output
Since we are using an external input format (Avro container input and output formats are integrated into the Java Pydoop code), we have to specify the corresponding class via --input-format and its jar with --libjars. The optional parquet projection allows to extract only selected fields from the input data. Note that, in this case, reading input records from values is not an option: that’s how AvroParquetInputFormat works.
More Avro-Parquet examples are available under examples/avro.
To run the Avro examples you have to install the Python Avro package (you can get it from the Avro web site), while the avro jar is included in Hadoop 2 and the avro-mapred one is included in Pydoop. Part of the examples code (e.g., input generation) is written in Java. To compile it, you need sbt.
Move to the examples directory and compile the Java code:
cd examples/avro/java
sbt assembly
Now you should be able to run all examples under examples/avro/py.


|
AceTime
2.3.0
Date and time classes for Arduino that support timezones from the TZ Database.
|
A thin wrapper around an complete::ZoneInfo data structure to provide a stable API access to some useful complete::ZoneInfo data. More...
#include <CompleteZone.h>
Public Member Functions | |
| CompleteZone (const complete::ZoneInfo *zoneInfo) | |
| Constructor from a raw complete::ZoneInfo* pointer, intended for manual inspection of a ZoneInfo record. | |
| CompleteZone (const complete::ZoneInfoBroker &zoneInfo) | |
| Constructor from an complete::ZoneInfoBroker, used by CompleteZoneProcessor. More... | |
| CompleteZone (const CompleteZone &)=default | |
| CompleteZone & | operator= (const CompleteZone &)=default |
| bool | isNull () const |
| Return true if zoneInfo is null. | |
| void | printNameTo (Print &printer) const |
| Print the full zone name to printer. More... | |
| void | printShortNameTo (Print &printer) const |
| Print the short pretty zone name to the printer. More... | |
| uint32_t | zoneId () const |
| Return the zoneId of the current zoneInfo. | |
| TimeOffset | stdOffset () const |
| Return the STDOFF of the last ZoneEra. | |
| ace_common::KString | kname () const |
| Return the name as a KString. | |
A thin wrapper around an complete::ZoneInfo data structure to provide a stable API access to some useful complete::ZoneInfo data.
The complete::ZoneInfo data struct is intended to be an opaque type to the users of this library.
Definition at line 24 of file CompleteZone.h.
|
inline |
Constructor from an complete::ZoneInfoBroker, used by CompleteZoneProcessor.
This allows the implementation details of ZoneInfoBroker to remain hidden.
Definition at line 38 of file CompleteZone.h.
| void ace_time::CompleteZone::printNameTo | ( | Print & | printer | ) | const |
Print the full zone name to printer.
Example "America/Los_Angeles".
Definition at line 18 of file CompleteZone.cpp.
| void ace_time::CompleteZone::printShortNameTo | ( | Print & | printer | ) | const |
Print the short pretty zone name to the printer.
Underscores are replaced with spaces. Example "Los Angeles".
Definition at line 25 of file CompleteZone.cpp.


Claim your NHS Pension
What domiciliary fees does the member have?
Give the domiciliary fees from the highest/combined period(s) of disallowed days.
Claim your NHS Pension
Give the domiciliary fees from the highest/combined period(s) of disallowed days.


dash.assert.strsInList
Throw error if strings are not in a list of allowed strings
Syntax
Description
Checks if all elements in strings are members of list. If not, throws an error. If so, returns the indices of each string in the list.
Use custom names for the strings and list in the thrown error message.
Use a custom header in thrown error IDs.
Input Arguments
strings
string vector [nStrings]
The set of strings being checked
list
string vector
The set of allowed strings
name
string scalar
The name of strings in the calling function. Default is “strings”
listName
string scalar
The name of list in the calling function. Default is “value in the list”
idHeader
string scalar
A header for thrown error IDs. Default is “DASH:assert:strsInList”
Output Arguments
k
vector, linear indices [nStrings]
The index of each element of strings in the list of allowed values


{% extends 'cdc/base.html' %} {% load staticfiles %} {% block content %}
Main Headquarters
4447 Common Ground Earth-Drive-Street Road
Topoftheworld, Kansas 71423
Main:<PHONE_NUMBER>
Fax:<PHONE_NUMBER>


Explore Evidence: Evidence comes from the LAERTES evidence base. The evidence base is comprised of evidence found in published literature, product labels and spontaneous reports. Use the evidence sources below to find out what evidence has been associated to the concepts included in this concept set. Report any missing evidence to the OHDSI forums here.
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Last change: Frank Naumann<EMAIL_ADDRESS>Sat Apr 1 09:00:00 2000 UTC
- rebuild against new MiNTLib 0.55
Description:
Newt is a programming library for color text mode, widget based user interfaces. Newt can be used to add stacked windows, entry widgets, checkboxes, radio buttons, labels, plain text fields, scrollbars, etc., to text mode user interfaces. This package also contains the shared library needed by programs built with newt, as well as a /usr/bin/dialog replacement called whiptail. Newt is based on the slang library.