Henry Wadsworth Longfellow: Selected Works
by Henry Wadsworth Longfellow
A Gleam of Sunshine
Additional Information
- Year Published: 1866
- Language: English
- Country of Origin: United States of America
- Source: Longfellow, H.W. (1866) The Complete Works of Henry Wadsworth Longfellow Boston, Massachusetts: Ticknor & Fields
-
Readability:
- Flesch–Kincaid Level: 9.0
- Word Count: 395
- Genre: Poetry
- ✎ Cite This
Downloads
This is the place. Stand still, my steed,
Let me review the scene,
And summon from the shadowy past
The forms that once have been.
The past and present here unite
Beneath time’s flowing tide,
Like footprints hidden by a brook,
But seen on either side.
Here runs the highway to the town;
There the green lane descends,
Through which I walked to church with thee,
O gentlest of my friends!
The shadow of the linden-trees
Lay moving on the grass;
Between them and the moving boughs,
A shadow, thou didst pass.
Thy dress was like the lilies,
And thy heart as pure as they:
One of God’s holy messengers
Did walk with me that day.
I saw the branches of the trees
Bend down thy touch to meet,
The clover-blossoms in the grass
Rise up to kiss thy feet,
“Sleep, sleep today, tormenting cares,
Of earth and folly born!”
Solemnly sang the village choir
On that sweet Sabbath morn.
Through the closed blinds the golden sun
Poured in a dusty beam,
Like the celestial ladder seen
By Jacob in his dream.
And ever and anon, the wind,
Sweet-scented with the hay,
Turned o’er the hymn-book’s fluttering leaves
That on the window lay.
Long was the good man’s sermon,
Yet it seemed not so to me;
For he spake of Ruth the beautiful,
And still I thought of thee.
Long was the prayer he uttered,
Yet it seemed not so to me;
For in my heart I prayed with him,
And still I thought of thee.
But now, alas! The place seems changed;
Thou art no longer here:
Part of the sunshine of the scene
With thee did disappear.
Though thoughts, deep-rooted in my heart,
Like pine-trees dark and high,
Subdue the light of noon, and breathe
A low and ceaseless sigh;
This memory brightens o’er the past,
As when the sun, concealed
Behind some cloud that near us hangs
Shines on a distant field.


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GOOGLE ANALYTICS AND THE RESIZE EVENT
There's an ongoing debate in the responsive web design community - do users resize their browser windows or not? During our Build Responsively Workshop in Columbus, Ben mentioned that he would love to have a way to track browser resize events. It seemed simple enough, so I put together this gist as a quick proof of concept:
This creates a handler for the browser resize event in order to fire a Google Analytics call with the browser dimensions. This solution waits for a 1 second pause before making the call to avoid a problem where some browsers would continuously fire the resize event.
Drop this code into your JavaScript, check out "events" within the "content" tab of Google Analytics, and you can see for yourself how many people are resizing your site.


new HighMapsNPS(table, columnNames, containerID, dataClasses, map, options)
- Source:
Parameters:
| Name | Type | Description |
|---|---|---|
table |
HTMLTableElement | table element where the data is storage |
columnNames |
Array | array of column names of data table |
containerID |
String | container for rendering map |
dataClasses |
Array | set of colored groups for map |
map |
String | key for Higchart.maps |
options |
Object | options for HighMap chart |
Methods
(static) composeOutput() → {String}
- Source:
Makes output for mapChart tooltip point format
Returns:
- Type
- String
(static) createMap(options, containerID, data, map, dataClasses, columnHeaders)
- Source:
Creates highmap
Parameters:
| Name | Type | Description |
|---|---|---|
options |
Object | options for HighMap chart |
containerID |
String | container for rendering map |
data |
Object | input data for highmap |
map |
String | key for Higchart.maps |
dataClasses |
Array | set of colored groups for map |
columnHeaders |
Array | an array where |
(static) getData(table, columnNames) → {Array}
- Source:
Strips data from table
Parameters:
| Name | Type | Description |
|---|---|---|
table |
HTMLTableElement | table element |
columnNames |
Array | names of columns in resulting object |
Returns:
returns set of objects
- Type
- Array
(static) getHeaders(table, columnNames) → {Object}
- Source:
Strips header from table
Parameters:
| Name | Type | Description |
|---|---|---|
table |
HTMLTableElement | table element |
columnNames |
Array | names of columns in resulting object |
Returns:
returns object where
- Type
- Object
(static) mixin(target, source) → {Object}
- Source:
Copies props from a source object to a target object.
Note, this method uses a simple for...in
strategy for enumerating
properties. To ensure only ownProperties
are copied from source
to target and that accessor implementations are copied, use extend
.
Parameters:
| Name | Type | Description |
|---|---|---|
target |
Object | Target object to copy properties to. |
source |
Object | Source object to copy properties from. |
Returns:
Target object that was passed as first argument.
- Type
- Object


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class: middle # Introducing GitFlow ## A branching model for Git .right[![Right-aligned image](https://avatars2.githubusercontent.com/u/52010894?s=200&v=4)] --- ## What Is Git Workflow?? -- Short Answer... A Git Workflow is a recipe or recommendation for how to use Git to accomplish work in a .note[**consistent and productive manner**]. Adopting the right workflow for your team so that you collaborate better and spend less time managing version control and more time developing code. -- What is the things to consider when it's the time to choose a workflow? -- .answer[ - Does this workflow scale with team size? - Is it easy to undo mistakes and errors with this workflow? - Is collaboration important to your workflow? - Does this workflow impose any unnecessary overhead to the team? ] --- ## Comparison of the Workflows ![Git Workflows](./assets/GitWorkflows.JPG) --- ![Git Workflows](./assets/Workflows.JPG)
.whoah[But remember that these workflows are designed to be guidelines rather than concrete rules!]
--- ## What Is GitFlow?? -- GitFlow is a branching model for Git, created by Vincent Driessen. It has attracted a lot of attention because it is well suited for collaboration and scaling projects. We have successful experiences using GitFlow cohesively with our existing release process at ESDC. -- ### Why we recommand using GitFlow?? -- - The workflow is great for a release-based software workflow as we do here in IITB. -- - For large project as we have here, the workflow fits very well (Large Team). -- - Branches segregated - each branch has clear purpose and flow how to work with it -- - Confidence - at any given point of time master and release branches are stable and ready for production -- - It enables a code freeze without preventing developers from working on the next release. -- - Continuous processes - continuous integration and testing for develop branch, continuous deployment for master branch --- ## Standard Working Branch -- In the diagram below, you can see the basic pattern of git flow, but while it looks like a bad subway map, it really is an easy pattern to follow. ![Git Flow](./assets/Git-Flow.png) --- ## The Branches Gitflow separates on isolated branches the code being developed and the code validated and tested. For this, it relies on the creation of several branches whose life cycle is well defined. Here is a list of branches : -- - Master - The master is always stable and release ready branch. - Codebase residing in the master branch is considered to be .note[**production-ready**]. -- - Develop - A develop branch contains latest features and fixes. - A develop branch is always created from master and when the features are done then push it to release branch. -- - Feature - Feature branches are used to develop new features for the upcoming releases. - Feature branches are created from develop and must merge into develop. -- - Release - Release branches support preparation of a new production release. - A new release branch is based off develop. - Once it's release into production, then it must be merged into master and develop. -- - Hotfix - hotfix branches are necessary to act immediately upon an undesired status of master - hotfix branches are made in separate branches based off master. - Once the hotfix is complete and released into production, then it must be merged to both develop and master --- ## Feature development Each new feature should reside in its own branch, which can be pushed to the central repository for backup/collaboration. But, instead of branching off master, feature branches use develop as their parent branch. When a feature is complete, it gets merged back into develop. Features should .whoah[**never**] interact directly with master. -- The Feature branch is always created off to the latest .note[**develop**] branch and when it's done then merged back to .note[**develop**] branch. ![Git Flow](./assets/GitFlow-2.png) --- ## Releases Release branches support preparation of a new production release. Once develop has acquired enough features for a release, you fork a release branch off develop. At this point—only bug fixes, documentation generation, and other release-oriented tasks should go in this branch. -- The new release branch is created off .note[**develop**] and merged to .note[**master**] and then again to .note[**develop**] branch. ![Git Flow](./assets/GitFlow-3.png) --- ## Emergency releases Maintenance or “hotfix” branches are used to quickly patch production releases. Hotfix branches are a lot like release branches and feature branches except they're based on master instead of develop. This is the only branch that should fork directly off of master. As soon as the fix is complete, it should be merged into both master and develop, and master should be tagged with an updated version number. -- Similar to Release branch, the new hotfix branch is created off .note[**master**] and then merged to .note[**master**] and .note[**develop**]. ![Git Flow](./assets/GitFlow-4.png) --- ## Now what's next! - Next steps... - Defines your requirements that you need from your flow model that will best suit your app. - When it’s done then pick the closest flow and start using it. - As you start using it maybe you will find issues with your workflow so do not be afraid to adapt your flow to make it work better for your project and team (Continuous Improvement) - Last important thing… .whoah[All] of this should be done with the team’s agreement!! --- class: middle, center ## We are going to help! ### Another Workshop! #### .okay[DATE] All afternoon, we are available for drop-in (online too!). --- class: middle, center ## Collaborate on Slack! We need your collaboration to make this a success. ### GCDevOpsLeague #### .okay[gcdevopsleague.slack.com] channel: "esdc-devcop" --- class: middle, center ## Questions


If You see this text, then, may be mod_rewrite is switched off for Your installation dir.
And, yes, DO NOT DELETE THIS FILE!
Because of it exists for mod_rewrite instuctions could work well.


To-Do List
Add a task:
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Python3이 설치 되어있다는 가정하에 설명하도록 하겠다.
$ pip3 install pipenv
$ pipenv --version
pipenv, version 2020.6.2
pipenv을 사용하려면 디렉토리를 만들어 준 후 디렉토리로 이동한다.
$ mkdir django-test && cd django-test
$ pipenv shell
Courtesy Notice: Pipenv found itself running within a virtual environment, so it will automatically use that environment, instead of creating its own for any project. You can set PIPENV_IGNORE_VIRTUALENVS=1 to force pipenv to ignore that environment and create its own instead. You can set PIPENV_VERBOSITY=-1 to suppress this warning.
Warning: the environment variable LANG is not set!
We recommend setting this in ~/.profile (or equivalent) for proper expected behavior.
Creating a virtualenv for this project…
Pipfile: /Users/david/PROJECT/django-test/Pipfile
Using<EMAIL_ADDRESS>(3.8.5) to create virtualenv…
⠏ Creating virtual environment...created virtual environment CPython3.8.5.final.0-64 in 573ms
creator CPython3Posix(dest=/Users/david/.local/share/virtualenvs/django-test-0W9m7BVl, clear=False, global=False)
seeder FromAppData(download=False, pip=latest, setuptools=latest, wheel=latest, via=copy, app_data_dir=/Users/david/Library/Application Support/virtualenv/seed-app-data/v1.0.1)
activators BashActivator,CShellActivator,FishActivator,PowerShellActivator,PythonActivator,XonshActivator
✔ Successfully created virtual environment!
Virtualenv location: /Users/david/.local/share/virtualenvs/django-test-0W9m7BVl
Creating a Pipfile for this project…
Launching subshell in virtual environment…
. /Users/david/.local/share/virtualenvs/django-test-0W9m7BVl/bin/activate
~/PROJECT/django-test 17:49:18
❯ . /Users/david/.local/share/virtualenvs/django-test-0W9m7BVl/bin/activate
pipenv 활성화가 된다.
가상환경이 생성된 곳에서 이 명령어를 넣어주면
$ pipenv shell
똑같이 가상환경이 활성화가 된다.


Cacti - T. pachanoi (San Pedro)
We were invited to partake in the magic of the cactus. Z.C had boiled it all down, so that a dose of 1/2 a metre of a cactus equaled 1 shot glass. We downed our shots with some grapefruit juice.
Soon everyone except me started feeling a bit ill and eventually they had all thrown-up outside in the garden. Eventually I threw up as well. It was beautiful. Through-out the night we each had our own puke spot where we'd return to at least two times.
ZC was the first to feel it. He turned to me, Anna and Sua and announced that the wood-grain cupboards looked awesome, pulled up a chair, sat down and continued to stare at it, like one would watch a television set! The girls laughed at him, but I knew that we would probably join him in a few minutes, for I have had the pleasure of experiencing san pedro before. A while later and we also started to feel it, to see it. It’s like LSD but different. Inanimate objects move, bend, warp and there’s colours all over the place. If I closed my eyes I would continue to see the most wonderful winamp visualization-like visuals!
We’re all a bit different, like being drunkish, care-free etc. So we decide that it was a beautiful night and we moved the bed outside, so that we could all lie on the bed while looking at the fire, which contained scenes of fire elves and dwarfs. Anna said that the stars looked like they were hanging from strings. We used a kaleidoscope and binoculars to further trip out on the amazing stars above.
Eventually we moved the whole bed back into the house. All four of us managed to lie on it and the girls became so very lazy. They would keep on saying that their limbs we’re like the roots of a tree and that they became attached to the bed or whatever they we’re sitting/lying on. While lying on the bed, next to or on Anna, our arms felt and became like those of a spider, our arms were soooo long and we’d get tangled and confused “Who’s arm is this? Mine? Yours?”
We had lots of fun for a couple of hours, but later things just got bad for me. It felt like it was just too chaotic in there, with all 4 of us talking in that small room. so I decide to take a breather outside, and the moment I stepped outside I was his with the contrast of the beautiful scenery, the soft, grey tones of the outside world, the birds and the just the calm and pleasant sound of the earth. It was such a big difference from the craziness inside that I closed the sliding door behind me and walked into the night.
Then I started spinning around and around and when I stopped the whole world wobbled AND off course everything was still painted with pulsating colours. It was the most amazing thing I have ever experienced and decided I had to tell all of them! So I ran inside and told them that they should also come and spin and that it was awesome. They all just looked at me as if I was talking nonsense. This upset me and I went back outside and when no-one came outside I started to believe that they (including my girlfriend Anna!) we’re all against me. This feeling continued to grow until I couldn’t bring myself to go back anymore! And the longer I stayed outside the more I believed the “enemy” we’re plotting and scheming against me!
Then something WEIRD happened! It was as if I had experienced this “Me against them” feeling before, as a child perhaps, and I relived this unknown, unexplained episode! I fell to my knees on the grass, in fear and confusion! Then Anna came out, totally oblivious to my situation, and when I saw her it was a mixture of happiness but it was also SO confusing! I wanted to greet her with a smile but at the same time it felt like we just had a HUGE fight!! I was really bit confused there, eesh! When I explained to her what had happened she told me that I’m just tripping and that NO-ONE was mad or against me and that I should come back inside with them. I did, but I was still a bit pissed off because they didn’t do the awesome spin thing.
The night continued with its craziness, swirling colours and such. At this point everything was still cool. But later, I think it just went on for too long. It felt like we couldn’t communicate anymore. We would all just talk in circles, we never got to any conclusions. I’d start off saying something and then stop half-way. I hated it, but there was NO way to communicate it!
This trip lasted forever! By the time the sun was rising (10? hours already) we were all so tired, but we couldn’t sleep. I had racing thought in my head. Anna had an assignment (university) to listen to some program on a certain radio station, but as we we’re still quite bent we could go home and she had to submit us all to the torture, the radio program was this preacher that went on about how you are damned to hell if you have heard the gospel but do not believe! It freaked me out and it was horrible to be listening to that while in the condition we were!
Eventually we were good enough to drive (12 hours! the trip lasted 12 hours!!!) and we went to the river for a while to wind down. It was long before we could actually sleep.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


| childhood_disease_data {pomp} | R Documentation |
LondonYorke
is a data frame containing the monthly number of reported cases of chickenpox, measles, and mumps from two American cities (Baltimore and New York) in the mid-20th century (1928–1972).
ewmeas
and ewcitmeas
are data frames containing weekly reported cases of measles in England and Wales.
ewmeas
records the total measles reports for the whole country, 1948–1966.
One questionable data point has been replaced with an NA.
ewcitmeas
records the incidence in seven English cities 1948–1987.
These data were kindly provided by Ben Bolker, who writes:
“Most of these data have been manually entered from published records by various people, and are prone to errors at several levels.
All data are provided as is; use at your own risk.”
W. P. London and J. A. Yorke, Recurrent outbreaks of measles, chickenpox and mumps: I. Seasonal variation in contact rates. American Journal of Epidemiology 98, 453–468, 1973.
More data sets provided with pomp:
blowflies
,
bsflu
,
dacca()
,
ebola
,
parus
More examples provided with pomp:
blowflies
,
compartmental_models
,
dacca()
,
ebola
,
gompertz()
,
ou2()
,
pomp_examples
,
ricker()
,
rw2()
,
verhulst()
plot(cases~time,data=LondonYorke,subset=disease=="measles",type='n',main="measles",bty='l')
lines(cases~time,data=LondonYorke,subset=disease=="measles"&town=="Baltimore",col="red")
lines(cases~time,data=LondonYorke,subset=disease=="measles"&town=="New York",col="blue")
legend("topright",legend=c("Baltimore","New York"),lty=1,col=c("red","blue"),bty='n')
plot(
cases~time,
data=LondonYorke,
subset=disease=="chickenpox"&town=="New York",
type='l',col="blue",main="chickenpox, New York",
bty='l'
)
plot(
cases~time,
data=LondonYorke,
subset=disease=="mumps"&town=="New York",
type='l',col="blue",main="mumps, New York",
bty='l'
)
plot(reports~time,data=ewmeas,type='l')
plot(reports~date,data=ewcitmeas,subset=city=="Liverpool",type='l')


CSS Introduction
CSS is a complex language that packs quite a bit of power.
It allows us to add layout and design to our pages, and it allows us to share those styles from element to element and page to page.
#food {
background: green;
}
p {
background: orange;
}
- Selectors
- Visual Rules
- Display
- Positioning
- CSS & HTML
Box Model
According to the box model concept, every element on a page is a rectangular box and may have width, height, padding, borders, and margins.
Every element is a rectangular box, and there are several properties that determine the size of that box. The core of the box is defined by the width and height of an element, which may be determined by the display property, by the contents of the element, or by specified width and height properties. padding and then border expand the dimensions of the box outward from the element’s width and height. Lastly, any margin we have specified will follow the border.
div {
border: 6px solid #949599;
height: 100px;
margin: 20px;
padding: 20px;
width: 400px;
}
Colors
The only property we need to set the color of text is the color property. The color property accepts one color value, but in many different formats.
Hexadecimal values are the most prevalent, as they provide the most control with the least amount of effort.
p {
background: orange;
font-size: 24px;
}
p {
background: green;
}
Typography
CSS offers a lot of different properties for editing the look and feel of text on a page. These properties fit into two categories: font-based properties and text-based properties.
Font family, font size, font style, font variant, font weight & line height are just a few examples of how typography can be altered using CSS.
body {
font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
}
Grid
Flexible grids are great for positioning content.
Row and column size are altered and justified to create a layout.
.container {
width: 538px;
}
section,
aside {
margin: 10px;
}
section {
float: left;
width: 340px;
}
aside {
float: right;
width: 158px;
}


EditLive
Home
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EditLive
EditLive is an free website to code in html and css!
Made by LINEOFPROGRAM!
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{% extends "base.html" %} {% block title %}Delete: image {{ image.id }} - {% endblock %} {% block header %}Delete image: {{ image.id }}{% endblock %} {% block content %}
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to be used with the MIT App Inventor online app development
environment. You can learn more at
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Home
Equipa
Sobre
Contactos
01
SHOW MORE
02
03
04
Equipa
Manu D Sousa
Manager
João Penha Garcia
Mister
António Silva
Player
Francisco Maria Calisto
Founder & Player
Diogo Silva
Player
Duarte Coelho
Player


## Warning in Sys.setlocale(category = "LC_TIME", locale = "en_US.UTF-8"): OS
## reports request to set locale to "en_US.UTF-8" cannot be honored
A Toolkit for Using EnergyPlus in R.
eplusr provides a rich toolkit of using whole building energy simulation program EnergyPlus directly in R, which enables programmatic navigation, modification of EnergyPlus, conducts parametric simulations and retrieves outputs. More information about EnergyPlus can be found at its website.
A comprehensive introduction to eplusr can be found using vignette("eplusr")
. There is also an online slides here (Interfacing EnergyPlus Using R). You can learn more about eplusr at https://hongyuanjia.github.io/eplusr, along with full package documentation.
You can install the latest stable release of eplusr from CRAN.
Alternatively, you can install the development version from GitHub.
Since running the IDF files requires EnergyPlus (https://energyplus.net), EnergyPlus has to be installed if you want to run EnergyPlus models in R. There are helper functions in eplusr to download and install it automatically on major operating systems (Windows, macOS and Linux):
# install the latest version (currently v9.1.0)
eplusr::install_eplus("latest")
# OR download the latest version (currently v9.1.0) and run the installer
# manually by yourself
eplusr::download_eplus("latest", dir = tempdir())
Note that the installation process in install_eplus()
requires administrative privileges. You have to run R with administrator (or with sudo if you are on macOS or Linux) to make it work if you are not in interactive mode.
Below shows the class structure in eplusr.
Basically, eplusr uses Idf
class to present the whole IDF file and IdfObject
class to present a single object in an IDF. Both Idf
and IdfObject
class contain member functions for helping modify the data in IDF so it complies with the underlying EnergyPlus IDD (Input Data Dictionary). Similarly, IDD file is wrapped into two classes, i.e. Idd
and IddObject
.
Besides, Epw
class is used to present EnergyPlus Weather files; EplusJob
to run single EnergyPlus simulation and collect outputs, ParametricJob
to run parametric EnergyPlus simulations and collect all outputs.
It is highly recommended to read the documentation to get a thorough understanding on each class.
library(eplusr)
# parse IDD
idd <- use_idd(8.8, download = "auto")
#> IDD v8.8.0 has not been parsed before.
#> Try to locate `Energy+.idd` in EnergyPlus v8.8.0 installation folder `C:/EnergyPlusV8-8-0`.
#> IDD file found: `C:\EnergyPlusV8-8-0\Energy+.idd`.
#> Start parsing...
#> Parsing completed.
# read IDF
idf <- read_idf(system.file("extdata/1ZoneUncontrolled.idf", package = "eplusr"))
# print idf
idf
#> -- EnergPlus Input Data File ----------------------------------------------
#> * Path: `C:\Users\hongy\R\eplusr\extdata\1ZoneUncontrolled.idf`
#> * Version: `8.8.0`
#>
#> Group: <Simulation Parameters>
#> +- [01<O>] Class: <Version>
#> |- [01<O>] Class: <SimulationControl>
#> |- [01<O>] Class: <Building>
#> |- [01<O>] Class: <SurfaceConvectionAlgorithm:Inside>
#> |- [01<O>] Class: <SurfaceConvectionAlgorithm:Outside>
#> |- [01<O>] Class: <HeatBalanceAlgorithm>
#> \- [01<O>] Class: <Timestep>
#>
#> Group: <Location and Climate>
#> +- [01<O>] Class: <Site:Location>
#> |- [02<O>] Class: <SizingPeriod:DesignDay>
#> \- [01<O>] Class: <RunPeriod>
#>
#> Group: <Schedules>
#> +- [02<O>] Class: <ScheduleTypeLimits>
#> \- [01<O>] Class: <Schedule:Constant>
#>
#> Group: <Surface Construction Elements>
#> +- [01<O>] Class: <Material>
#> |- [02<O>] Class: <Material:NoMass>
#> \- [03<O>] Class: <Construction>
#>
#> Group: <Thermal Zones and Surfaces>
#> +- [01<O>] Class: <GlobalGeometryRules>
#> |- [01<O>] Class: <Zone>
....
# extract object
idf$Material_NoMass$R13LAYER
#> <IdfObject: `Material:NoMass`> [ID:12] `R13LAYER`
#> Class: <Material:NoMass>
#> +- 1: "R13LAYER", !- Name
#> |- 2: "Rough", !- Roughness
#> |- 3: 2.290965, !- Thermal Resistance {m2-K/W}
#> |- 4: 0.9, !- Thermal Absorptance
#> |- 5: 0.75, !- Solar Absorptance
#> \- 6: 0.75; !- Visible Absorptance
# get object relation
idf$object_relation("R13LAYER", "all")
#> -- Refer to Others --------------------------------------------------------
#> Target(s) does not refer to any other field.
#>
#> -- Referred by Others -----------------------------------------------------
#> Class: <Material:NoMass>
#> \- Object [ID:12] <R13LAYER>
#> \- 1: "R13LAYER"; !- Name
#> ^~~~~~~~~~~~~~~~~~~~~~~~~
#> \- Class: <Construction>
#> \- Object [ID:15] <R13WALL>
#> \- 2: "R13LAYER"; !- Outside Layer
# extract field value
idf$RunPeriod[[1]][c("Begin Month", "End Month")]
#> $`Begin Month`
#> [1] 1
#>
#> $`End Month`
#> [1] 12
# add new object
idf$add(RunPeriod = list("run_period", 3, 1, 4, 1))
#> $run_period
#> <IdfObject: `RunPeriod`> [ID:54] `run_period`
#> Class: <RunPeriod>
#> +- 01: "run_period", !- Name
#> |- 02: 3, !- Begin Month
#> |- 03: 1, !- Begin Day of Month
#> |- 04: 4, !- End Month
#> |- 05: 1, !- End Day of Month
#> |- 06: "UseWeatherFile", !- Day of Week for Start Day
#> |- 07: "Yes", !- Use Weather File Holidays and Special Days
#> |- 08: "Yes", !- Use Weather File Daylight Saving Period
#> |- 09: "No", !- Apply Weekend Holiday Rule
#> |- 10: "Yes", !- Use Weather File Rain Indicators
#> \- 11: "Yes"; !- Use Weather File Snow Indicators
# get possible values for fields
idf$Construction$FLOOR$value_possible("Outside Layer")
#> -- 2: Outside Layer -------------------------------------------------------
#> * Auto value: <NA>
#> * Default: <NA>
#> * Choice: <NA>
#> * Source:
#> - "C5 - 4 IN HW CONCRETE"
#> - "R13LAYER"
#> - "R31LAYER"
# extract object data
idf$to_table(class = "BuildingSurface:Detailed", string_value = FALSE, unit = TRUE)
#> id name class index
#> 1: 21 Zn001:Wall001 BuildingSurface:Detailed 1
#> 2: 21 Zn001:Wall001 BuildingSurface:Detailed 2
#> 3: 21 Zn001:Wall001 BuildingSurface:Detailed 3
#> 4: 21 Zn001:Wall001 BuildingSurface:Detailed 4
#> 5: 21 Zn001:Wall001 BuildingSurface:Detailed 5
#> ---
#> 128: 26 Zn001:Roof001 BuildingSurface:Detailed 18
#> 129: 26 Zn001:Roof001 BuildingSurface:Detailed 19
#> 130: 26 Zn001:Roof001 BuildingSurface:Detailed 20
#> 131: 26 Zn001:Roof001 BuildingSurface:Detailed 21
#> 132: 26 Zn001:Roof001 BuildingSurface:Detailed 22
#> field value
#> 1: Name Zn001:Wall001
#> 2: Surface Type Wall
#> 3: Construction Name R13WALL
#> 4: Zone Name ZONE ONE
#> 5: Outside Boundary Condition Outdoors
#> ---
#> 128: Vertex 3 Y-coordinate 0 [m]
#> 129: Vertex 3 Z-coordinate 4.572 [m]
#> 130: Vertex 4 X-coordinate 15.24 [m]
#> 131: Vertex 4 Y-coordinate 15.24 [m]
#> 132: Vertex 4 Z-coordinate 4.572 [m]
# read EPW
path_epw <- file.path(eplus_config(8.8)$dir, "WeatherData/USA_CA_San.Francisco.Intl.AP.724940_TMY3.epw")
epw <- read_epw(path_epw)
# print weather
epw
#> == EnergyPlus Weather File ================================================
#> [Location ]: San Francisco Intl Ap, CA, USA
#> {N 37°37'}, {W 122°24'}, {UTC-08:00}
#> [Elevation]: 2m above see level
#> [Data Src ]: TMY3
#> [WMO Stat ]: 724940
#> [Leap Year]: FALSE
#> [Interval ]: 60 mins
#>
#> -- Data Periods -----------------------------------------------------------
#> Name StartDayOfWeek StartDay EndDay
#> 1: Data Sunday 1/ 1 12/31
#>
#> ---------------------------------------------------------------------------
# get location
(loc <- epw$location())
#> $city
#> [1] "San Francisco Intl Ap"
#>
#> $state_province
#> [1] "CA"
#>
#> $country
#> [1] "USA"
#>
#> $data_source
#> [1] "TMY3"
#>
#> $wmo_number
#> [1] "724940"
#>
#> $latitude
#> [1] 37.62
#>
#> $longitude
#> [1] -122.4
#>
#> $time_zone
#> [1] -8
#>
#> $elevation
#> [1] 2
# update Site:Location according to EPW LOCATION header
idf$Site_Location$set(
name = paste(loc$city, loc$state_province, loc$country),
loc$latitude, loc$longitude, loc$time_zone, loc$elevation
)
#> <IdfObject: `Site:Location`> [ID:9] `San Francisco Intl Ap CA USA`
#> Class: <Site:Location>
#> +- 1: "San Francisco Intl Ap CA USA", !- Name
#> |- 2: 37.62, !- Latitude {deg}
#> |- 3: -122.4, !- Longitude {deg}
#> |- 4: -8, !- Time Zone {hr}
#> \- 5: 2; !- Elevation {m}
# save the IDF
idf$save(file.path(tempdir(), "model.idf"), overwrite = TRUE)
# extract weather data
(weather <- head(epw$data()))
#> datetime year month day hour minute
#> 1: 2017-01-01 01:00:00 1999 1 1 1 0
#> 2: 2017-01-01 02:00:00 1999 1 1 2 0
#> 3: 2017-01-01 03:00:00 1999 1 1 3 0
#> 4: 2017-01-01 04:00:00 1999 1 1 4 0
#> 5: 2017-01-01 05:00:00 1999 1 1 5 0
#> 6: 2017-01-01 06:00:00 1999 1 1 6 0
#> datasource dry_bulb_temperature
#> 1: ?9?9?9?9E0?9?9?9?9?9?9?9?9?9?9?9?9?9?9?9*9*9?9?9?9 7.2
#> 2: ?9?9?9?9E0?9?9?9?9?9?9?9?9?9?9?9?9?9?9?9*9*9?9?9?9 7.2
#> 3: ?9?9?9?9E0?9?9?9?9?9?9?9?9?9?9?9?9?9?9?9*9*9?9?9?9 6.7
#> 4: ?9?9?9?9E0?9?9?9?9?9?9?9?9?9?9?9?9?9?9?9*9*9?9?9?9 6.1
#> 5: ?9?9?9?9E0?9?9?9?9?9?9?9?9?9?9?9?9?9?9?9*9*9?9?9?9 4.4
#> 6: ?9?9?9?9E0?9?9?9?9?9?9?9?9?9?9?9?9?9?9?9*9*9?9?9?9 4.4
#> dew_point_temperature relative_humidity atmospheric_pressure
#> 1: 5.6 90 102200
#> 2: 5.6 90 102100
#> 3: 5.0 89 102200
#> 4: 5.0 93 102200
#> 5: 3.9 97 102200
#> 6: 3.9 97 102200
#> extraterrestrial_horizontal_radiation
#> 1: 0
#> 2: 0
#> 3: 0
#> 4: 0
#> 5: 0
#> 6: 0
#> extraterrestrial_direct_normal_radiation
#> 1: 0
....
# a date time column added with correct start day of week type
epw$period()$start_day_of_week
#> [1] 7
weekdays(weather$datetime)
#> [1] "Sunday" "Sunday" "Sunday" "Sunday" "Sunday" "Sunday"
# run simulation
job <- idf$run(epw)
#> -- Info -------------------------------------------------------------------
#> Adding object `Output:SQLite` and setting `Option Type` to `SimpleAndTabular` in order to create SQLite output file.
#>
#> -- Info -------------------------------------------------------------------
#> Replace the existing IDF located at C:\Users\hongy\AppData\Local\Temp\RtmpGYU29i\model.idf.
#>
#> EnergyPlus Starting
#> EnergyPlus, Version 8.8.0-7c3bbe4830, YMD=2019.06.06 14:50
#> Processing Data Dictionary
#> Processing Input File
#> Initializing Simulation
#> Reporting Surfaces
#> Beginning Primary Simulation
#> Initializing New Environment Parameters
#> Warming up {1}
#> Warming up {2}
#> Warming up {3}
#> Warming up {4}
#> Warming up {5}
#> Warming up {6}
#> Warming up {7}
#> Warming up {8}
#> Warming up {9}
#> Warming up {10}
#> Warming up {11}
#> Warming up {12}
#> Warming up {13}
#> Warming up {14}
#> Warming up {15}
#> Warming up {16}
....
# print simulation error
job$errors()
#> == EnergyPlus Error File ==================================================
#> * EnergyPlus version: 8.8.0 (7c3bbe4830)
#> * Simulation started: 2019-06-06 14:50:00
#> * Terminated: FALSE
#> * Successful: TRUE
#> * Warning[W]: 2
#>
#> -- During Simulation Initiation -------------------------------------------
#> [W 1/2] SetUpDesignDay: Entered DesignDay Barometric Pressure=81198 differs
#> by more than 10% from Standard Barometric Pressure=101301.
#> ...occurs in DesignDay=DENVER CENTENNIAL GOLDEN N ANN HTG 99%
#> CONDNS DB, Standard Pressure (based on elevation) will be used.
#> [W 2/2] SetUpDesignDay: Entered DesignDay Barometric Pressure=81198 differs
#> by more than 10% from Standard Barometric Pressure=101301.
#> ...occurs in DesignDay=DENVER CENTENNIAL GOLDEN N ANN CLG 1% CONDNS
#> DB=>MWB, Standard Pressure (based on elevation) will be used.
# get report data
results <- job$report_data("zone one", "zone mean air temperature",
case = "example", month = 1:6, hour = 1, day_type = "Monday",
all = TRUE
)
str(results)
#> Classes 'data.table' and 'data.frame': 29 obs. of 21 variables:
#> $ case : chr "example" "example" "example" "example" ...
#> $ datetime : POSIXct, format: "2019-01-07 01:00:00" "2019-01-14 01:00:00" ...
#> $ month : int 1 1 1 1 2 2 2 2 3 3 ...
#> $ day : int 7 14 21 28 4 11 18 25 4 11 ...
#> $ hour : int 1 1 1 1 1 1 1 1 1 1 ...
#> $ minute : int 0 0 0 0 0 0 0 0 0 0 ...
#> $ dst : int 0 0 0 0 0 0 0 0 0 0 ...
#> $ interval : int 60 60 60 60 60 60 60 60 60 60 ...
#> $ simulation_days : int 7 14 21 28 35 42 49 56 63 70 ...
#> $ day_type : chr "Monday" "Monday" "Monday" "Monday" ...
#> $ environment_name : chr "San Francisco Intl Ap CA USA TMY3 WMO#=724940" "San Francisco Intl Ap CA USA TMY3 WMO#=724940" "San Francisco Intl Ap CA USA TMY3 WMO#=724940" "San Francisco Intl Ap CA USA TMY3 WMO#=724940" ...
#> $ is_meter : int 0 0 0 0 0 0 0 0 0 0 ...
#> $ type : chr "Avg" "Avg" "Avg" "Avg" ...
#> $ index_group : chr "Zone" "Zone" "Zone" "Zone" ...
#> $ timestep_type : chr "HVAC System" "HVAC System" "HVAC System" "HVAC System" ...
#> $ key_value : chr "ZONE ONE" "ZONE ONE" "ZONE ONE" "ZONE ONE" ...
#> $ name : chr "Zone Mean Air Temperature" "Zone Mean Air Temperature" "Zone Mean Air Temperature" "Zone Mean Air Temperature" ...
#> $ reporting_frequency: chr "Hourly" "Hourly" "Hourly" "Hourly" ...
#> $ schedule_name : chr NA NA NA NA ...
#> $ units : chr "C" "C" "C" "C" ...
#> $ value : num 10.8 11.8 13.1 10.5 11.9 ...
#> - attr(*, ".internal.selfref")=<externalptr>
# a date time column added with correct day of week type
all(weekdays(results$datetime) == results$day_type)
#> [1] TRUE
# get tabular data
job$tabular_data(table_name = "site and source energy", row_name = "total site energy")
#> index report_name report_for
#> 1: 1 AnnualBuildingUtilityPerformanceSummary Entire Facility
#> 2: 5 AnnualBuildingUtilityPerformanceSummary Entire Facility
#> 3: 9 AnnualBuildingUtilityPerformanceSummary Entire Facility
#> table_name column_name
#> 1: Site and Source Energy Total Energy
#> 2: Site and Source Energy Energy Per Total Building Area
#> 3: Site and Source Energy Energy Per Conditioned Building Area
#> row_name units value
#> 1: Total Site Energy GJ 89.81
#> 2: Total Site Energy MJ/m2 386.67
#> 3: Total Site Energy MJ/m2
I would like to thank many open source projects who have heavily inspired the development of eplusr package, especially these below:


Lets you zip and unzip files.
View the Using Titanium Modules document for instructions on getting started with using this module in your application.
Note that there may be two versions of this module available to you, one for use with pre-<IP_ADDRESS> SDKs and one for use with <IP_ADDRESS> or newer. In your tiapp.xml file, make sure that you specify the version of the module that corresponds to the version of Titanium Mobile SDK that you are targeting. For Appcelerator modules, specify the 1.X version of the module if building for versions of Titanium Mobile SDK prior to <IP_ADDRESS> and specify the 2.X version of the module if building for versions of Titanium Mobile SDK <IP_ADDRESS> or newer.
To access this module from JavaScript, you would do the following:
var Compression = require('ti.compression');
Compresses all of the files you pass in "fileArray" to the specified "archiveFile".
Returns the string "success" if the operation succeeded, or an error message if something went wrong.
Extracts the files in the archive file into the destination folder, optionally overriding existing files.
Returns the string "success" if the operation succeeded, or an error message if something went wrong.
To create an archive:
var result = Ti.Compression.zip('test.zip', [ 'a.dat', 'b.dat', 'c.dat' ];
To extract an archive:
var result = Ti.Compression.unzip(Ti.Filesystem.applicationDataDirectory + 'data', 'test.zip', true);
See example for more details.
Dawson Toth
View the change log for this module.
Please direct all questions, feedback, and concerns to<EMAIL_ADDRESS>Copyright(c) 2010-2013 by Appcelerator, Inc. All Rights Reserved. Please see the LICENSE file included in the distribution for further details.


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I am happy to share that the latest version of padr
just hit CRAN. This new version comprises bug fixes, performance improvements and new functions for formatting datetime variables. But above all, it introduces the custom paradigm that enables you to do asymmetric analysis.
Improvements to existing functions
thicken
used to get slowish when the data frame got large. Several adjustments resulted in a considerable performance gain. It is now approximately 6 times faster than in version 0.3.0.
Both pad
and thicken
used to break with noninformative errors when the datetime variable contains missing values. Both functions allow for missing values now. thicken
will leave the record containing the missing datetime value where it is and will enter a missing value in the column added to the data frame. pad
will move all the records with missing values in the datetime variable to the end of the data frame and will further ignore them for padding. Both functions throw a warning when the datetime variable has missing values.
New functions
span_date
and span_time
are wrappers around seq.Date
and seq.POSIXt
and were previously described in this blog post.
Two new functions are introduced to reformat datetime variable. These can be especially useful for showing the data in a plot or a graph. center_interval
shifts the datetime point from the beginning of the interval to the (approximate) center. Especially bar, line and dot plots will reflect the data in a more accurate way after centering.
library(tidyverse)
library(padr)
jan_first <- emergency %>%
filter(as.Date(time_stamp, tz = "EST") == as.Date("2016-01-01")) %>%
thicken("3 hour") %>%
count(time_stamp_3_hour)
ggplot(jan_first, aes(time_stamp_3_hour, n)) + geom_bar(stat = "identity")
jan_first %>%
mutate(ts_center = center_interval(time_stamp_3_hour)) %>%
ggplot(aes(ts_center, n)) + geom_bar(stat = "identity")
Secondly, there is the format_interval
function, that will create a character from the interval using strftime
on both the beginning and the end of the datetime points of each interval.
jan_first %>%
mutate(hours = format_interval(time_stamp_3_hour,
start_format = "%b%d %H",
end_format = "%H",
sep = "-")) %>%
ggplot(aes(hours, n)) + geom_bar(stat = "identity")
When using the interval “week”, one might want to start the weeks on different day than Sunday. In thicken
the start_val should than be specified with a day of the desired weekday. Finding this day by hand is a bit tedious, thats why closest_weekday
is introduced.
thicken(coffee, "week",
start_val = closest_weekday(coffee$time_stamp, 6))
## time_stamp amount time_stamp_week
## 1 2016-07-07 09:11:21 3.14 2016-07-02
## 2 2016-07-07 09:46:48 2.98 2016-07-02
## 3 2016-07-09 13:25:17 4.11 2016-07-09
## 4 2016-07-10 10:45:11 3.14 2016-07-09
The custom suite
thicken
and pad
are highly automated, because they assume all datetime points to be equally spaced. Internally they span vectors of the desired interval. However, it might be useful to have asymmetrical periods between datetime points. Especially when there are periods in which the number of observations is consistently lower, such as nightly hours or weekend days. The functions thicken_cust
and pad_cust
work like the original functions. However, the user has to provide his own spanning vector to which the observations are mapped.
Lets do an analysis of vehicle accidents in the emergency
. We want to distinguish between morning rush hour (7-10), daytime (10-16), evening rush hour (16-19) and nighttime (19-7). This is the full analysis.
accidents_span <-
span_around(emergency$time_stamp, "hour", start_shift = "2 hour") %>%
subset_span(list(hour = c(7, 10, 16, 19)))
emergency %>%
filter(title == "Traffic: VEHICLE ACCIDENT -") %>%
thicken_cust(accidents_span, "hour") %>%
count(hour) %>%
pad_cust(accidents_span) %>%
fill_by_value() %>%
mutate(day = as.Date(hour, tz = "EST"),
period = format_interval(hour, start_format = "%H", sep = "-")) %>%
ggplot(aes(day, n, col = period)) +
geom_line() +
facet_wrap(~period)
The helper functions span_around
and subset_span
are used for building the spanning vector. The first takes the original datetime variable and spans a variable of the requested interval around it. This saves you the manual trouble of finding the min and the max of the variable and determine which points are respectively before and after them to build a variable of the interval. subset_span
, subsequently, will only leave the datetime points in the input that meet the criteria given in a list. In the example these are the hours 7, 10, 16, and 19. In total there are eight different datetime parts you can subset on.
The remainder of the analysis is greatly similar to a regular padr
analysis. Instead of an interval to which to thicken
and pad
to, you use the asymmetrically spaced accidents_span
variable in both thicken_cust
and pad_cust
. thicken_cust
will then map each observation to a datetime point in the spanned vector. pad_cust
will insert rows for each of the observations that are in the spanned vector, but not in the datetime variable.
Thanks
This release completes the initial plans I had for padr
. For the next release I plan on refactoring and further increasing performance. Do you find anything still missing from padr
? Did you find a bug or an inconsistency? Please notify by sending an email or file an issue on the github page.


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goto_stop
Sends an elevator to a specified stop.
Sent from a trigger or an elevator.
Sent to an elevator.
Parameters:
[num]--Stop number to send elevator to.


Give your xaringan slides some style with xaringanthemer within your slides.Rmd
file without (much) CSS.
First, add the xaringan-themer.css
file to the YAML header of your xaringan slides.
Then, in a hidden chunk just after the knitr setup chunk, load xaringanthemer and try one of the theme functions.
```{r xaringan-themer, include = FALSE}
library(xaringanthemer)
mono_light(
base_color = "#1c5253",
header_font_google = google_font("Josefin Sans"),
text_font_google = google_font("Montserrat", "300", "300i"),
code_font_google = google_font("Droid Mono")
)
```
xaringanthemer is Tab friendly – use autocomplete to explore the template variables that you can adjust in each of the themes!


Rerun replacement
Error using this extensions.
Try a different page.
This extension doesn't support this page.


Conceived of as a way to synchronize the data in an ECS with a UI, though it
can be used in any situation in which a user needs to interact with a system
asynchronously. The user's desired state of the system is modeled using the
same data structure which represents the actual state of the system. The
system can then act on the user's input and update the model of its actual
state as it sees fit. The responsibility of keeping the model of the user's
desires in sync with the actual system state is on the user interface. The
system uses a dirty flag to know if the desired state has changed since the
last call to clean().
Type parameters
TModel: Object | Array<any> | number | string | boolean
Conceived of as a way to synchronize the data in an ECS with a UI, though it can be used in any situation in which a user needs to interact with a system asynchronously. The user's desired state of the system is modeled using the same data structure which represents the actual state of the system. The system can then act on the user's input and update the model of its actual state as it sees fit. The responsibility of keeping the model of the user's desires in sync with the actual system state is on the user interface. The system uses a dirty flag to know if the desired state has changed since the last call to
clean()
.


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/**
* RequestManager is a mixin that manages the lifecycle of a promise-backed request for a widget, such as
* the {@link OO.ui.mixin.LookupElement}.
*
* @class
* @abstract
*
* @constructor
*/
OO.ui.mixin.RequestManager = function OoUiMixinRequestManager() {
this.requestCache = {};
this.requestQuery = null;
this.requestRequest = null;
};
/* Setup */
OO.initClass( OO.ui.mixin.RequestManager );
/**
* Get request results for the current query.
*
* @return {jQuery.Promise} Promise object which will be passed response data as the first argument of
* the done event. If the request was aborted to make way for a subsequent request, this promise
* may not be rejected, depending on what jQuery feels like doing.
*/
OO.ui.mixin.RequestManager.prototype.getRequestData = function () {
var widget = this,
value = this.getRequestQuery(),
deferred = $.Deferred(),
ourRequest;
this.abortRequest();
if ( Object.prototype.hasOwnProperty.call( this.requestCache, value ) ) {
deferred.resolve( this.requestCache[ value ] );
} else {
if ( this.pushPending ) {
this.pushPending();
}
this.requestQuery = value;
ourRequest = this.requestRequest = this.getRequest();
ourRequest
.always( function () {
// We need to pop pending even if this is an old request, otherwise
// the widget will remain pending forever.
// TODO: this assumes that an aborted request will fail or succeed soon after
// being aborted, or at least eventually. It would be nice if we could popPending()
// at abort time, but only if we knew that we hadn't already called popPending()
// for that request.
if ( widget.popPending ) {
widget.popPending();
}
} )
.done( function ( response ) {
// If this is an old request (and aborting it somehow caused it to still succeed),
// ignore its success completely
if ( ourRequest === widget.requestRequest ) {
widget.requestQuery = null;
widget.requestRequest = null;
widget.requestCache[ value ] = widget.getRequestCacheDataFromResponse( response );
deferred.resolve( widget.requestCache[ value ] );
}
} )
.fail( function () {
// If this is an old request (or a request failing because it's being aborted),
// ignore its failure completely
if ( ourRequest === widget.requestRequest ) {
widget.requestQuery = null;
widget.requestRequest = null;
deferred.reject();
}
} );
}
return deferred.promise();
};
/**
* Abort the currently pending request, if any.
*
* @private
*/
OO.ui.mixin.RequestManager.prototype.abortRequest = function () {
var oldRequest = this.requestRequest;
if ( oldRequest ) {
// First unset this.requestRequest to the fail handler will notice
// that the request is no longer current
this.requestRequest = null;
this.requestQuery = null;
oldRequest.abort();
}
};
/**
* Get the query to be made.
*
* @protected
* @method
* @abstract
* @return {string} query to be used
*/
OO.ui.mixin.RequestManager.prototype.getRequestQuery = null;
/**
* Get a new request object of the current query value.
*
* @protected
* @method
* @abstract
* @return {jQuery.Promise} jQuery AJAX object, or promise object with an .abort() method
*/
OO.ui.mixin.RequestManager.prototype.getRequest = null;
/**
* Pre-process data returned by the request from #getRequest.
*
* The return value of this function will be cached, and any further queries for the given value
* will use the cache rather than doing API requests.
*
* @protected
* @method
* @abstract
* @param {Mixed} response Response from server
* @return {Mixed} Cached result data
*/
OO.ui.mixin.RequestManager.prototype.getRequestCacheDataFromResponse = null;
|


When using websites on different devices, like smart phones, tablets or desktops, the content needs to adjust to the size of he screen it is being displayed on. This is where responsive sites come in. Adding in extra code to the site so that no matter the size of the screen the site is always going to be understandable and well presented.
This is important because there is such a wide variety of devices to use the internet on and all are becoming more popular and more used, so sites must keep up with change.
Mobile design, is designing your site for a smaller screen first and then adjusting the code so that as the screen gets bigger the site adjusts as well to keep it lookinf normal.
It is important because it is a lot easier to make a site grow than shrink.
A framework is defined as a package made up of a structure of files and folders of standardized code (HTML, CSS, JS documents etc.) which can be used to support the development of websites, as a basis to start building a site.
Pros and Cons of using Frameworks
Pros
A wireframe is like a plan of your website, drawn up on paper or using a graphics tool. This helps to code the site with less time wasted, as everything is already on paper and just needs coding.
I had trouble getting the drop down menu on all pages, I'm not sure why that is. I also had trouble aligning the title and image.


Contents
- HOW TO WRITE FMRI_DATA TO IMAGE FILE ON DISK
- 1) load sample mask
- grab one image from those 7
- write to file
- read back in and view to check its correct
- 2) load sample statistical image
- threshold at an arbitrary threshold. This will create a statistic_image
- write to file
- read back in and view to check its correct
HOW TO WRITE FMRI_DATA TO IMAGE FILE ON DISK
% canlabcore fmri data objects can be easily written to standard image file % formats. The main function for this is write() % this walkthrough shows how to do this for 1) a mask image, and 2) a % statistic image
1) load sample mask
You will need the Neuroimaging_Pattern_Masks repository installed to find these images.
dat = load_image_set('bucknerlab'); % loads 7 masks from Yeo et al.
Loaded images: /Users/torwager/Documents/GitHub/CanlabCore/CanlabCore/canlab_canonical_brains/Combined_multiatlas_ROI_masks/rBucknerlab_7clusters_SPMAnat_Other_combined.img
grab one image from those 7
oneimg = dat.get_wh_image(1);
write to file
see help for write() for more options
fname = 'dummy.nii'; % outname file name. the extension (.nii, .img) determines the format. write(oneimg, 'fname', fname);
Writing: dummy.nii
read back in and view to check its correct
orthviews(fmri_data(fname))
Using default mask: /Users/torwager/Documents/GitHub/CanlabCore/CanlabCore/canlab_canonical_brains/Canonical_brains_surfaces/brainmask.nii loading mask. mapping volumes. checking that dimensions and voxel sizes of volumes are the same. Pre-allocating data array. Needed: 1409312 bytes Loading image number: 1 Elapsed time is 0.018595 seconds. Image names entered, but fullpath attribute is empty. Getting path info. SPM12: spm_check_registration (v6245) 01:43:37 - 30/07/2018 ======================================================================== Display /Users/torwager/Documents/GitHub/CanlabCore/CanlabCore/canlab_canonical_brains/Canonical_brains_surfaces/keuken_2014_enhanced_for_underlay.img,1 Grouping contiguous voxels: 3 regions ans = 1×1 cell array {1×3 region}
2) load sample statistical image
dat = load_image_set('kragelemotion'); % loads 7 masks from Kragel et al. % grab one image from those 7 oneimg = dat.get_wh_image(1);
Loaded images: /Users/torwager/Documents/GitHub/MasksPrivate/Masks_private/2015_Kragel_emotionClassificationBPLS/mean_3comp_amused_group_emotion_PLS_beta_BSz_10000it.img /Users/torwager/Documents/GitHub/MasksPrivate/Masks_private/2015_Kragel_emotionClassificationBPLS/mean_3comp_angry_group_emotion_PLS_beta_BSz_10000it.img /Users/torwager/Documents/GitHub/MasksPrivate/Masks_private/2015_Kragel_emotionClassificationBPLS/mean_3comp_content_group_emotion_PLS_beta_BSz_10000it.img /Users/torwager/Documents/GitHub/MasksPrivate/Masks_private/2015_Kragel_emotionClassificationBPLS/mean_3comp_fearful_group_emotion_PLS_beta_BSz_10000it.img /Users/torwager/Documents/GitHub/MasksPrivate/Masks_private/2015_Kragel_emotionClassificationBPLS/mean_3comp_neutral_group_emotion_PLS_beta_BSz_10000it.img /Users/torwager/Documents/GitHub/MasksPrivate/Masks_private/2015_Kragel_emotionClassificationBPLS/mean_3comp_sad_group_emotion_PLS_beta_BSz_10000it.img /Users/torwager/Documents/GitHub/MasksPrivate/Masks_private/2015_Kragel_emotionClassificationBPLS/mean_3comp_surprised_group_emotion_PLS_beta_BSz_10000it.img
threshold at an arbitrary threshold. This will create a statistic_image
% keep values less than -.0005 or greater than .0005 si = threshold(oneimg, [-.0005 .0005], 'raw-outside'); % check that it looks fine orthviews(si);
Keeping vals outside of -0.001 to 0.001: 474 elements remain SPM12: spm_check_registration (v6245) 01:43:40 - 30/07/2018 ======================================================================== Display /Users/torwager/Documents/GitHub/CanlabCore/CanlabCore/canlab_canonical_brains/Canonical_brains_surfaces/keuken_2014_enhanced_for_underlay.img,1 Grouping contiguous voxels: 83 regions
write to file
fname = 'dummy.nii'; % outname file name. the extension (.nii, .img) determines the format. write(si, 'fname', fname, 'thresh') % will write the *thresholded* image
Warning: Thresholding only works with statistic_image objects. Writing: dummy.nii
read back in and view to check its correct
orthviews(fmri_data(fname))
Using default mask: /Users/torwager/Documents/GitHub/CanlabCore/CanlabCore/canlab_canonical_brains/Canonical_brains_surfaces/brainmask.nii loading mask. mapping volumes. checking that dimensions and voxel sizes of volumes are the same. Pre-allocating data array. Needed: 188152 bytes Loading image number: 1 Elapsed time is 0.008242 seconds. Image names entered, but fullpath attribute is empty. Getting path info. SPM12: spm_check_registration (v6245) 01:43:43 - 30/07/2018 ======================================================================== Display /Users/torwager/Documents/GitHub/CanlabCore/CanlabCore/canlab_canonical_brains/Canonical_brains_surfaces/keuken_2014_enhanced_for_underlay.img,1 Grouping contiguous voxels: 83 regions ans = 1×1 cell array {1×83 region}


OnErrorExit()
Syntax
OnErrorExit()Description
Changes the action taken if an error occurs to directly exit the program, even if the default action on the system is not to exit the program on this kind of error. The system may display an error dialog or print an error-message on the console on exit.
Parameters
None.
Return value
None.
Remarks
To exit the program silently and suppress any system message, use OnErrorCall() and end the program from the error handler.
Example
MessageRequester("OnError test", "Test start") OnErrorExit() Pokes(10, "Hello World") ; Cause a #PB_OnError_InvalidMemory error MessageRequester("OnError test", "This should never be displayed")
Supported OS
All


UKCloud Limited (“UKC”) and Virtual Infrastructure Group Limited (“VIG”) (together “the Companies”) – in Compulsory Liquidation
On 25 October 2022, the Companies were placed into Liquidation with the Official Receiver appointed as Liquidator and J Robinson and A M Hudson simultaneously appointed as Special Managers to manage the liquidation process on behalf of the Official Receiver.
Further information regarding the Liquidations can be found here: https://www.gov.uk/government/news/virtual-infrastructure-group-limited-and-ukcloud-limited-information-for-creditors-and-interested-parties
Contact details:
For any general queries relating to the Liquidations please email<EMAIL_ADDRESS>For customer related queries please email<EMAIL_ADDRESS>For supplier related queries please email<EMAIL_ADDRESS>How to install Dell EMC GeoDrive
Overview
Dell EMC GeoDrive (GeoDrive) is a free application that runs on Windows and Windows Server, exposing UKCloud Cloud Storage as file systems. It's designed as an easy way to use object storage by enabling Windows applications to interface with Cloud Storage servers using the popular S3 REST API.
Use cases
You can use GeoDrive to:
Expose UKCloud Cloud Storage for native access on Windows through a centralised server with GeoDrive installed on a centralised Windows Server installation
Present Cloud Storage as storage for applications, without additional development
Use Cloud Storage as a target for backups or long-term file retention
Before you begin
GeoDrive offers a single caching option:
Stub: files are initially stored locally and replaced with a stub, or shortcut, after a period of time. When you access a file that has been stubbed, it will be retrieved from the cloud. This offers the best scalability, as you can use a virtually unlimited amount of cloud storage.
Installing GeoDrive
Raise a Service Request, using the Other Service Request template, to access the GeoDrive installer.
For more detailed instructions, see How to use My Calls to raise and monitor support tickets.
Extract and run the setup launcher from the ZIP file.
Step through the wizard, adjusting values to suit your environment.
Note
The Data Directory is used as a local cache for any content you place in the GeoDrive drive, so you may want to put this on a non-system volume.
When the installation is complete, click Add GeoDrive Drive to open the Drive Parameters page.
On the Drive Parameters page, select any available drive letter from the drop down menu to use as the GeoDrive drive then click Next.
Optional: give your ECS drive a description.
On the Settings page, click the Hosts button to configure the connection to the Cloud Storage service.
On the General tab, click the Add button and configure the settings as shown in the following example:
You can find the User ID in the Storage section of the UKCloud Portal.
If you've forgotten or don't know your Secret Access Key, you can reset it in the Storage section of the Portal.
Note
The Server Name and Description can be anything, but must not be blank. In the example it is shown as
UKCloud
andUKCloud - ECS Drive
.
From the Use https or http list, select HTTPS.
In the Host name / IP field input one of the following S3 API endpoints:
Corsham (Assured)
Internet:
cas.cor00005.ukcloud.com
PSN Assured:
cas.cor00005.psnassured.ukcloud.com
HSCN:
cas.cor00005.ukcloud.thirdparty.nhs.uk/
Farnborough (Assured)
Internet:
cas.frn00006.ukcloud.com
PSN Assured:
cas.frn00006.psnassured.ukcloud.com
HSCN:
cas.frn00006.ukcloud.thirdparty.nhs.uk/
Deselect the Port Override check box.
Click OK to return to the Settings page.
The rest of the fields on the Settings page enable you to configure the root directory, encryption and compression settings.
If not already selected, make sure to select the Write all files and folders in lower case check box.
Tip
Configure the remaining fields appropriately for your environment, or accept the defaults. We suggest you give the root directory a friendlier name, so that you can more easily identify it.
Click the Advanced button to configure various thresholds, such as how long a local file will be retained before being replaced with a stub.
Click Next to get to the Logging page.
Change the settings on the Logging page to meet your requirements.
Click Finish to complete the wizard. GeoDrive connects to Cloud Storage and starts synchronising any content you put on the drive letter you assigned to it.
You can share the GeoDrive drive, or a folder within it, so that other machines on the network can access it.
Tip
See Microsoft's How-To guide on how to share a a drive on the network from Windows.
Next steps
This guide has shown you how to install and configure GeoDrive for use with Cloud Storage. For more information about how to use the service, see the following articles:
Feedback
If you find a problem with this article, click Improve this Doc to make the change yourself or raise an issue in GitHub. If you have an idea for how we could improve any of our services, send an email to feedback@ukcloud.com.


Menus in AsciiDoc : Page 3
by Tom Swan
This is Page 3 of the menu demonstration. Select menu items above to change pages. For the source text of this page, browse to Source Text.
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ABOUT US
When you work with us, you are part of a team of committed collaborators. All aspects of our software development process are intergrated, interactive and agile.
Our approach unifies design, development and product management to create exponential products.
We start each project by understanding your business goals, the user's needs and the product requirements.
Then we help translate them into effective and elegant solutions.
SERVICES
Before we sign a contract or write a line of code our team will spend the necessary time needed to understand your product vision
The outcome of this scoping session in a proposal or high-level statement of work.
Based on your requirements, we can provide a complete offering or just pieces you need.


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-
bestFitnessScore
-
The best fitness score of the entire population.
- Source:
-
bestFitnessScore
-
We check to see if this genome is the most fit of the population.
- Source:
-
bestFitnessScore
-
If the fitness score is 1, this means that we should have solved the problem.
- Source:
-
dominant
-
This works the same way as in humans. You specify which gene is dominant over all others.
- Source:
-
fittestGenome
-
This is the index of the fittest genome in the population array.
- Source:
-
fittestGenome
-
We store the index of the fittest genome.
- Source:
-
geneLength
-
The gene length is the number of encoded bits it takes to represent data for a problem. For example, if you are
encoding directions in a maze, you would need 2 bits to represent a direction. So, 00 could be north, 01 could be south
and so on.
- Source:
-
generation
-
This holds the current generation. This is used for determining when to invoke Eugenics protocols.
- Source:
-
memory
-
This holds the best chromosome of a generation.
- Source:
-
memory
-
We want to remember this genome's chromosome.
- Source:
-
population
-
This holds the entire population of genomes.
- Source:
-
shortMemory
-
Temporary memory for the algorithm.
- Source:
-
testFunction
-
This is a user defined function that will actually test each genome and assign a fitness score based on how well the
chromosome solves the problem.
- Source:
-
totalFitnessScore
-
The total fitness score of the entire population.
- Source:
-
apocalypse(apocalypseGen)
-
A Eugenics function that destroys most of population except top 5% in terms of fitness score. This is
used in an extreme situation where population will be stuck indefinitely.
Parameters:
| Name |
Type |
Description |
apocalypseGen |
number
|
The generation in which to trigger mass extinction. |
- Version:
- Author:
-
- Source:
-
averageFitnessScore()
-
Convenience method to get average fitness score of population.
- Version:
- Author:
-
- Source:
-
clearMemory()
-
Helper method to clear algorithm's memory.
- Version:
- Author:
-
- Source:
-
createStartPopulation(numOfBits)
-
Creates a starting population of genomes to get the algorithm started.
Parameters:
| Name |
Type |
Description |
numOfBits |
number
|
Number of bits used to encode a chromosome. |
- Version:
- Author:
-
- Source:
-
crossover(father, mother, baby)
-
This function will take two parent genomes, and encode a baby chromosome from the two parent
chromosomes based on a specified crossover rate value. The crossover value determines where
to split up the father chromosome and appends another half of a chromosome from the mother.
Parameters:
| Name |
Type |
Description |
father |
Genome
|
A genome in the population selected by fitness. |
mother |
Genome
|
A genome in the population selected by fitness. |
baby |
Genome
|
A new genome that will be created from the mother and father. |
- Version:
- Author:
-
- Source:
-
decode(genome, lengthOfGene)
-
Will take a chromosome from a genome and convert it to an array of integer values that represent how to solve a problem.
Parameters:
| Name |
Type |
Description |
genome |
Genome
|
The genome whose chromosome you want to decode. |
lengthOfGene |
Genome
|
The length of the gene in each chromosome. |
- Version:
- Author:
-
- Source:
-
epoch()
-
The epoch function is the main loop function of the algorithm. It is not required and you can create your own and just
use other methods as needed. While a solution as not been found, it manages the reproduction and culling process of the population.
- Version:
- Author:
-
- Source:
-
getElite()
-
A Eugenics helper function that gets the top 5% of the population in terms of fitness score.
- Version:
- Author:
-
- Source:
-
initMemory(memoryValue)
-
Gives algorithm's memory a value.
Parameters:
| Name |
Type |
Description |
memoryValue |
String
|
Int
|
Array
|
Object
|
What you want to set the algorithm's memory to. |
- Version:
- Author:
-
- Source:
-
mate(father, mother, baby)
-
This function will take two parent genomes, and encode a baby chromosome from the two parent
chromosomes based on whether either parent has a dominant gene.
Parameters:
| Name |
Type |
Description |
father |
Genome
|
A genome in the population selected by fitness. |
mother |
Genome
|
A genome in the population selected by fitness. |
baby |
Genome
|
A new genome that will be created from the mother and father. |
- Version:
- Author:
-
- Source:
-
mutate(genome)
-
Mutates a given genomes chromosome based on mutation rate.
chromosomes based on whether either parent has a dominant gene.
Parameters:
| Name |
Type |
Description |
genome |
Genome
|
A genome which needs to be mutated. |
- Version:
- Author:
-
- Source:
-
rouletteWheelSelection()
-
Selects a genome based on a concept called Roulette Wheel Selection. The idea is that if you think of each genome's
fitness score as a slice on a roulette wheel, the fitter genomes will have a larger slice of the wheel.
- Version:
- Author:
-
- Source:
-
sterilize(benchmark)
-
A Eugenics function to help keep the population moving towards a solution as there is a possibility population could
get stuck and never solve a given problem.
Parameters:
| Name |
Type |
Description |
benchmark |
number
|
the cutoff fitness score. Any genomes below this number are removed from population. |
- Version:
- Author:
-
- Source:
-
testChromosome()
-
Selects a genome based on a concept called Roulette Wheel Selection. The idea is that if you think of each genome's
fitness score as a slice on a roulette wheel, the fitter genomes will have a larger slice of the wheel.
- Version:
- Author:
-
- Source:
-
updateFitnessScore()
-
Goes through the population and assigns each genome a fitness score based on how it performs in the
test function.
- Version:
- Author:
-
- Source:


|
G24Lib
A set of convenient classes, functions and other utilities mainly for quickly writing numerical code. Provides relatively easy integration with CUDA, general Runge-Kutta methods, linear equation solvers and more.
|
A container that stores the different members of a struct that can undergo compile time reflection through g24_lib::class_info
as separate arrays. In short, translates an array of structs into a struct of arrays in a more or less automatic way.
More...
Classes | |
| struct | const_split_member_accessor |
An interface for the object held in the g24_lib::split_member_array so they can be changed through an operator= . More... | |
| struct | split_member_accessor |
An interface for the object held in the g24_lib::split_member_array so they can be changed through an operator= . More... | |
Public Types | |
| typedef indexer | indexer_type |
| template<g24_lib::Definitions::default_unsigned_indexer num> | |
| using | memory_manager = memory_manager_type< hold_t< num >, indexer > |
| typedef flat_imitation_struct< Type > | true_type |
| typedef Type | value_type |
Public Member Functions | |
| CUDA_ONLY_HOS | split_member_array () |
| Default constructor: an empty array. More... | |
| template<class ArrLike , class disabler = std::enable_if_t< !std::is_integral_v<ArrLike> && std::is_same_v< Type, g24_lib::value_type<ArrLike> > >> | |
| CUDA_ONLY_HOS | split_member_array (const ArrLike &a) |
Copy-constructs from a generic container with a size() member function. More... | |
| CUDA_ONLY_HOS | split_member_array (const indexer size) |
Constructs an uninitialized split array of size elements. More... | |
| template<class ArrLike , class enable = std::enable_if_t< !std::is_same_v<ArrLike, Type> && std::is_same_v< Type, g24_lib::value_type<ArrLike> > >> | |
| CUDA_ONLY_HOS | split_member_array (const indexer size, const ArrLike &a) |
Copy-constructs from a generic container with a known size . More... | |
| CUDA_ONLY_HOS | split_member_array (const indexer size, const g24_lib::flat_imitation_struct< Type > &val) |
Constructs a split array of size elements that are initialized to val . More... | |
| CUDA_HOS_DEV | split_member_array (const split_member_array &s, const bool copy=default_is_copy) |
Copy-constructs. If, by any reason, the user wants to force the pointer to be copied instead of performing allocations, can be put to false. More... | |
| template<template< class, class > class other_manager, bool other_bool> | |
| CUDA_ONLY_HOS | split_member_array (const split_member_array< Type, indexer, other_manager, other_bool > &s, const bool copy=default_is_copy) |
Copy-constructs from another memory context. If, by any reason, the user wants to force the pointer to be copied instead of performing allocations, can be put to false. More... | |
| CUDA_HOS_DEV | split_member_array (split_member_array &&s) |
| Move-constructs. More... | |
| template<template< class, class > class other_manager, bool other_bool> | |
| CUDA_ONLY_HOS | split_member_array (split_member_array< Type, indexer, other_manager, other_bool > &&s) |
| Move-constructs from another memory context. More... | |
| CUDA_HOS_DEV | ~split_member_array () |
| template<class stream > | |
| CUDA_ONLY_HOS void | binary_input (stream &s) |
| template<class stream > | |
| CUDA_ONLY_HOS void | binary_output (stream &s) const |
| CUDA_ONLY_HOS void | clear () |
Clears the array. If deallocatable() is false, just sets the size to 0 and the internal pointers to nullptr . More... | |
| CUDA_HOS_DEV bool | deallocatable () const |
Returns true if the array can be deallocated (which should be the usual case) and false if not (when default_is_copy is false and the pointer has been copied from another object). More... | |
| template<class num > | |
| CUDA_HOS_DEV Type *& | get_access_to_array () |
| Gives direct access to the underlying array. More... | |
| template<class num > | |
| CUDA_HOS_DEV const Type * | get_access_to_array () const |
| Gives direct access to the underlying array. More... | |
| template<class parallel , class Func , class ... Args> | |
| void | operate_on_all (Func &&f, Args &&... args) |
Performs operation given by f on every element of the array. More... | |
| template<class container , class enabler = std::enable_if_t< std::is_same_v< Type, g24_lib::value_type<container> > >> | |
| CUDA_HOS_DEV | operator container () const |
| CUDA_HOS_DEV split_member_array & | operator= (const split_member_array &s) |
Assignment operator. The behaviour will depend on the template parameter default_is_copy , with there being allocations if true and a simple pointer copy if it is false . More... | |
| template<template< class, class > class other_manager, bool other_bool> | |
| CUDA_ONLY_HOS split_member_array & | operator= (const split_member_array< Type, indexer, other_manager, other_bool > &s) |
Assignment operator from another memory context. The behaviour will depend on the template parameter default_is_copy , with there being allocations if true and a simple pointer copy if it is false and the memory locations are the same. More... | |
| CUDA_HOS_DEV split_member_array & | operator= (split_member_array &&s) |
| Move-assignment operator. More... | |
| template<template< class, class > class other_manager, bool other_bool> | |
| CUDA_ONLY_HOS split_member_array & | operator= (split_member_array< Type, indexer, other_manager, other_bool > &&s) |
| Move-assignment operator from another memory context. More... | |
| CUDA_HOS_DEV split_member_accessor | operator[] (const indexer i) |
| CUDA_HOS_DEV const_split_member_accessor | operator[] (const indexer i) const |
| CUDA_ONLY_HOS void | resize (const indexer new_size) |
| Resizes the array, unless the sizes match. More... | |
| template<class parallel > | |
| void | set_all (const Type &val) |
Sets all elements of the array to val . More... | |
| CUDA_ONLY_HOS void | set_all_simple (const g24_lib::flat_imitation_struct< Type > &x) |
Sets all the elements of the array to x . More... | |
| CUDA_HOS_DEV indexer | size () const |
| template<class stream > | |
| CUDA_ONLY_HOS void | textual_input (stream &s) |
| template<class stream , class str = std::basic_string<typename stream::char_type>> | |
| CUDA_ONLY_HOS void | textual_output (stream &s, const str &separator=" ") const |
Friends | |
| template<class a , class b , template< class, class > class c, bool d> | |
| struct | split_member_array |
| struct | const_split_member_accessor |
| struct | split_member_accessor |
A container that stores the different members of a struct that can undergo compile time reflection through g24_lib::class_info
as separate arrays. In short, translates an array of structs into a struct of arrays in a more or less automatic way.
| Type | The type of the structs that will be stored. |
| indexer | A type that is appropriate to hold the size of the arrays. |
| memory_manager_type | The memory manager corresponding to the memory context where the arrays will be held. |
| default_is_copy | See g24_lib::simple_array . |
Type
must support the limited form of compile time reflection provided by g24_lib::class_info
.indexer
must satisfy the constraints placed on the choice of g24_lib::Definitions::default_unsigned_indexer
.memory_manager_type
must be a valid template for memory managers, that is, g24_lib::is_memory_manager<memory_manager_type<T, indexer>>
should be true
for any T
. Definition at line 78 of file split_array.h.
| typedef indexer g24_lib::split_member_array< Type, indexer, memory_manager_type, default_is_copy >::indexer_type |
Definition at line 105 of file split_array.h.
| using g24_lib::split_member_array< Type, indexer, memory_manager_type, default_is_copy >::memory_manager = memory_manager_type<hold_t<num>, indexer> |
Definition at line 108 of file split_array.h.
| typedef flat_imitation_struct<Type> g24_lib::split_member_array< Type, indexer, memory_manager_type, default_is_copy >::true_type |
Definition at line 103 of file split_array.h.
| typedef Type g24_lib::split_member_array< Type, indexer, memory_manager_type, default_is_copy >::value_type |
Definition at line 101 of file split_array.h.
|
inline |
Default constructor: an empty array.
Definition at line 251 of file split_array.h.
|
inline |
Constructs an uninitialized split array of size
elements.
Definition at line 269 of file split_array.h.
|
inline |
Constructs a split array of size
elements that are initialized to val
.
Definition at line 288 of file split_array.h.
|
inline |
Copy-constructs. If, by any reason, the user wants to force the pointer to be copied instead of performing allocations,
can be put to false. copy
Definition at line 320 of file split_array.h.
|
inline |
Move-constructs.
Definition at line 354 of file split_array.h.
|
inline |
Copy-constructs from another memory context. If, by any reason, the user wants to force the pointer to be copied instead of performing allocations,
can be put to false. copy
Definition at line 468 of file split_array.h.
|
inline |
Move-constructs from another memory context.
Definition at line 504 of file split_array.h.
|
inline |
Definition at line 693 of file split_array.h.
|
inlineexplicit |
Copy-constructs from a generic container with a known size
.
a[i]
must give the i
-th element. Definition at line 1106 of file split_array.h.
|
inlineexplicit |
Copy-constructs from a generic container with a size()
member function.
a[i]
must give the i
-th element. Definition at line 1143 of file split_array.h.
|
inline |
Definition at line 827 of file split_array.h.
|
inline |
Definition at line 801 of file split_array.h.
|
inline |
Clears the array. If deallocatable()
is false, just sets the size to 0 and the internal pointers to nullptr
.
Definition at line 171 of file split_array.h.
|
inline |
Returns true
if the array can be deallocated (which should be the usual case) and false
if not (when default_is_copy
is false and the pointer has been copied from another object).
Definition at line 120 of file split_array.h.
|
inline |
Gives direct access to the underlying array.
Definition at line 718 of file split_array.h.
|
inline |
Gives direct access to the underlying array.
Definition at line 730 of file split_array.h.
|
inline |
Performs operation given by f
on every element of the array.
| f | The function to apply on the elements of the array. |
| args | Extra arguments to be passed to f |
| Func | The type that holds the function to be applied to the elements of the array. |
| Args | The types for any extra arguments to Func . |
f
must take as arguments a reference to an array (appropriate to be operated with the specified form of parallelism) and the index at which we're evaluating, and any extra arguments passed to this function in args
.parallel
must be a valid type of parallelism, that is, it must satisfy g24_lib::is_parallelism
.simple_array
, it's just a wrapper around parallelism::loop()
.memory_context
appropriate for being operated on with the specified parallelism, it is converted to an appropriate array. Definition at line 1198 of file split_array.h.
|
inlineexplicit |
Definition at line 1080 of file split_array.h.
|
inline |
Assignment operator. The behaviour will depend on the template parameter default_is_copy
, with there being allocations if true
and a simple pointer copy if it is false
.
Definition at line 377 of file split_array.h.
|
inline |
Assignment operator from another memory context. The behaviour will depend on the template parameter default_is_copy
, with there being allocations if true
and a simple pointer copy if it is false
and the memory locations are the same.
Definition at line 564 of file split_array.h.
|
inline |
Move-assignment operator.
Definition at line 435 of file split_array.h.
|
inline |
Move-assignment operator from another memory context.
Definition at line 627 of file split_array.h.
|
inline |
Definition at line 1002 of file split_array.h.
|
inline |
Definition at line 1074 of file split_array.h.
|
inline |
Resizes the array, unless the sizes match.
deallocatable()
is false, a new array is allocated even if the sizes match, since we can assume the need to resize the array means the user is not using this simply as a std::weak_ptr
; furthermore, since we do not keep track of the original object from which we copied the pointer, it is impossible to resize it otherwise. Definition at line 227 of file split_array.h.
|
inline |
Sets all elements of the array to val
.
| val | The value to which the array should be set. |
parallel
must be a valid type of parallelism, that is, it must satisfy g24_lib::is_parallelism
. Definition at line 1221 of file split_array.h.
|
inline |
Sets all the elements of the array to x
.
g24_lib::split_member_array
in the current memory context, sets all of it to x
and then copies it to the memory context in which the array is held. Definition at line 195 of file split_array.h.
|
inline |
Definition at line 110 of file split_array.h.
|
inline |
Definition at line 768 of file split_array.h.
|
inline |
Definition at line 739 of file split_array.h.
|
friend |
Definition at line 83 of file split_array.h.
|
friend |
Definition at line 1071 of file split_array.h.
|
friend |
Definition at line 1000 of file split_array.h.


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--- layout: post title: Using Raspberry Pi as a cheap Airplay audio receiver date: 2012-11-23 10:28:41.000000000 +00:00 type: post published: true status: publish categories: [] tags: [] meta: _edit_last: '1' tmac_last_id: '618797357639970816' author: David Simpson excerpt_separator: ---
I've created a quick gist on how I made a cheap Airplay receiver from a Raspberry Pi and a tiny wifi dongle. It also makes a great little XBMC box for your TV.


Chelsea player knows he will need to follow David Luiz example and ‘force’ exit for January move
by Tom CoastCorriere dello Sport, normally a prime candidate when it comes to answering the question of who is making boring stories exciting, are in the business of playing down rumours on Thursday.
They’ve done it with the Moise Kean to AS Roma one, and next up is Olivier Giroud to Inter.
It’s no secret the striker needs game time since he isn’t getting any at Chelsea under Frank Lampard, and with Antonio Conte wanting some reinforcements in January, the Frenchman is an ideal (and relatively cheap) target.
However, despite Inter ‘enquiring thoroughly’ and ‘informing itself’, there’s a big Alexis Sánchez shaped problem in their squad they need to sort out first.
Before making any big decision, the Serie A side want to see what the Chile international’s recovery timeline is like, and with him set to return in January, they’ll wait and see how he does first.
In the meantime, Giroud knows that ‘forcing’ the issue could help convince his club to let him go, as Corriere use David Luiz’s example this summer, who pushed his way out of Stamford Bridge to join Arsenal.


Color Palette
Funnel above the line and above all, be transparent. Target daily standups and then come up with a bespoke solution. Inform thought leadership and above all, improve overall outcomes. Create outside the box thinking and try to funnel users. Utilise user engagement with a goal to maximise share of voice.
Considering innovation in order to create a better customer experience. Inform responsive websites while remembering to go viral. Repurpose custom solutions in order to target the low hanging fruit. Considering customer experience with the aim to get buy in. Repurposing above the line yet be transparent.
Funnel benchmarking and possibly surprise and delight. Demonstrating below the line to in turn infiltrate new markets. Engage customer journeys and try to further your reach. Leveraging brand integration with the aim to improve overall outcomes.
Leading a holistic approach and finally innovate. Executing daily standups so that as an end result, we maximise share of voice. Grow daily standups and then be CMSable.
Growing awareness and then surprise and delight! Creating relevant and engaging content with a goal to use best practice. Taking best in class while remembering to build ROI.


The International Conference for Upcoming Engineers (ICUE) was initiated by members of Ryerson University in 2001 to explore different options after graduation and to network with successful professionals in various engineering fields. Over the years, the conference has explored various hot topics of engineering including Design, Entrepreneurship, etc. To benefit upcoming engineers from a wide range of locations, the conference has been hosted by different universities each year. IEEE University of Toronto Student Branch has held ICUE three times - 2013, 2010 and 2008.
The International Conference for Upcoming Engineers (ICUE) was initiated by members of Ryerson University in 2001 to explore different options after graduation and to network with successful professionals in various engineering fields. Over the years, the conference has explored various hot topics of engineering including Design, Entrepreneurship, etc. To benefit upcoming engineers from a wide range of locations, the conference has been hosted by different universities each year. IEEE University of Toronto Student Branch has held ICUE three times - 2013, 2010 and 2008.