|
SpinTimer
3.0.0
|
#include <SpinTimer.h>
Public Member Functions | |
| SpinTimer (unsigned long timeMillis, SpinTimerAction *action=0, bool isRecurring=false, bool isAutostart=false) | |
| virtual | ~SpinTimer () |
| void | attachAction (SpinTimerAction *action) |
| SpinTimerAction * | action () const |
| void | start (unsigned long timeMillis) |
| void | start () |
| void | cancel () |
| bool | isExpired () |
| bool | isRunning () const |
| unsigned long | getInterval () const |
| void | setIsRecurring (bool isRecurring) |
| void | tick () |
Static Public Attributes | |
| static const bool | IS_NON_RECURRING = false |
| static const bool | IS_RECURRING = true |
| static const bool | IS_NON_AUTOSTART = false |
| static const bool | IS_AUTOSTART = true |
Protected Member Functions | |
| SpinTimer * | next () const |
| void | setNext (SpinTimer *timer) |
Friends | |
| class | SpinTimerContext |
Universal Timer.
Features:
Integration:
(shown on the basis of a simple Arduino Framework application toggling the board's built-in LED)
#include "SpinTimer.h" #include "Arduino.h"
const unsigned int BLINK_TIME_MILLIS = 200;
class BlinkTimerAction : public SpinTimerAction { public: void timeExpired() { digitalWrite(LED_BUILTIN, !digitalRead(LED_BUILTIN)); } };
// The setup function is called once at startup of the sketch void setup() { pinMode(LED_BUILTIN, OUTPUT); new SpinTimer(new BlinkTimerAction(), SpinTimer::IS_RECURRING, BLINK_TIME_MILLIS); }
// The loop function is called in an endless loop void loop() { scheduleTimers(); }
| SpinTimer::SpinTimer | ( | unsigned long | timeMillis, |
| SpinTimerAction * | action = 0 , |
||
| bool | isRecurring = false , |
||
| bool | isAutostart = false |
||
| ) |
Timer constructor.
| timeMillis | Timer interval/timeout time [ms], >0: timer starts automatically after creation, 0: timer remains stopped after creation (timer will expire as soon as possible when started with startTimer()) |
| action | SpinTimerAction, is able to emit a timer expired event to any specific listener, default: 0 (no event will be sent) |
| isRecurring | Operation mode, true: recurring, false: non-recurring, default: false |
| isAutostart | Autostart mode, true: autostart enabled, false: autostart disabled, default: false |
|
virtual |
Timer destructor. Will detach itself from TimerContext.
| SpinTimerAction * SpinTimer::action | ( | ) | const |
SpinTimer Action accessor method.
| void SpinTimer::attachAction | ( | SpinTimerAction * | action | ) |
Attach specific SpinTimerAction, acts as dependency injection.
| action | Specific SpinTimerAction |
| void SpinTimer::cancel | ( | ) |
Cancel the timer and stop. No time expired event will be sent out after the specified time would have been elapsed. Subsequent isExpired() queries will return false.
| unsigned long SpinTimer::getInterval | ( | ) | const |
Returns the actual interval of the timer.
| bool SpinTimer::isExpired | ( | ) |
Poll method to get the timer expire status, recalculates whether the timer has expired before. This method could be used in a pure polling mode, where tick() has not to get called (by the TimerContext::handleTick() method), but also a mixed operation in combination with calling tick() periodically is possible. Subsequent isExpired() queries will return false after the first one returned true, as long as the time did not expire again in case of a recurring timer.
| bool SpinTimer::isRunning | ( | ) | const |
Indicates whether the timer is currently running.
|
protected |
| void SpinTimer::setIsRecurring | ( | bool | isRecurring | ) |
Sets the operation mode
| isRecurring | Operation mode, true: recurring, false: non-recurring |
|
protected |
| void SpinTimer::start | ( | ) |
Start or restart the timer. The timer will expire after the specified time set with the constructor or start(timeMillis) before.
| void SpinTimer::start | ( | unsigned long | timeMillis | ) |
Start or restart the timer with a specific time out or interval time.
| timeMillis | Time out or interval time to be set for the timer [ms]; 0 will make the timer expire as soon as possible. |
| void SpinTimer::tick | ( | ) |
Kick the Timer. Recalculates whether the timer has expired.
|
friend |
|
static |
Constant for isAutostart parameter of the constructor (
|
static |
Constant for isAutostart parameter of the constructor (
|
static |
Constant for isRecurring parameter of the constructor (
|
static |
Constant for isRecurring parameter of the constructor (


WSO2 Business Process commponent adds the capability to execute business processes written using WS-BPEL standard in WSO2 SOA platform. It also provides a complete web based graphical console to deploy, manage and view processes and process instances. WSO2 Business Process component is powered by Apache ODE(Orchestration Director Engine).
WS-BPEL defines a language for the specification of Executable and Abstract business processes. By doing so, it extends the Web Services interaction model and enables it to support business transactions. WS-BPEL defines an interoperable integration model that should facilitate the expansion of automated process integration in both the intra-corporate and the business-to-business spaces. Processes in WS-BPEL export and import functionality by using Web Service interfaces exclusively.
BPEL package is a ZIP archived directory with all the relevant deployment artifacts. Minimal BPEL package contains the deployment descriptor, one or more process definitions(.bpel or .cbp), WSDL and XSDs(excluding the ones compiled into .cbp). The deployment descriptor is a file named deploy.xml. To deploy, just copy the BPEL package containing your artifacts to the %CARBON_HOME%/repository/bpel directory. If you are using a URL repository copy the package to 'bpel' direcotry in that repository.
Folder structure of BPEL Package:
BPEL.zip
BPEL
myprocess.bpel
myprocess.cbp
myprocess.wsdl
deploy.xml
myschema.xsd
Deploying BPEL package through the management console
Click Deployed Packages under Business Processes in the navigation menu. The Deployed Packages page will appear.
This list contains all the BPEL packages deployed in the system and will display business processes in those packages.By clicking Undeploy link, users can undeploy the packages available in the system.
If user tries to undeploy a package which contains business processes with running process instances, management console will warn the user that thare are running process instances. If user really wants, he can undeploy BPEL packages with running process instances.
In the management console, under Business Processes click Processes. The Processes page will appear.
Process list will display IDs of the deployed processes with their version, status and deployed date. With this list you can retire and activate processes. You can view detailed description about the process, when you click the process id link.
'Filter Process List' link can be used to expand the process list filter. You can use process list filter to narrow down the list of processes using criteria like process name, namespace or deployed date. You can order the process list by using properties like name, namespace or version.
Sample Order by filter:
Active processes can be invoked by partners and as a result, new process instances will be created. When a process is retired all the running instances of that particular process will behave normally. But no new instances will be created from retired processes.
In the management console, click Processes under Business processes. Then click on any of the process ID links. It will display a detailed description about the process including version, status, deployed date, container package of that process, total instance, instance summary and syntax highlighted process definition.
Using the link display in front of the status of the process users can activate or retire that process.
When you click Instances under Business Processes, Instances page will appear. TThis page will display paginated list of currently available process instances in the system.
The instance list will display ID of the instance with the process id of that instance, current status, date started, last active date and actions that can be performed on that instance. Users can click on the instance id link to go to the detailed view of that instance and use process id link to view the details of the process. Users can use Suspend/Resume, Terminate and Delete links to suspend/resume active instance, terminate active instance and to delete instance from the system. Complete and Terminated instances can only be deleted and can't perform any other actions on it.
User can use shortcuts available below the bread crumbs to filter the available instances according to their status. Advance Filter link will expand the filter from and users can use that to filter the instance list according to process name, process namespace, started date and etc.. If the user want to reset the filter and list all the available instances user can use either 'All' shorcut link or 'Reset Filter' link.
Advance Filter link will expand the filter form and user can use it to narrow down the instace list.
Using Advance Filtering
Advance Filtering can be used to narrow down the instance by process name, process namespace, status, started date, and last active date. And user can order the filtered instance list using Process ID, Name, Version, Started Date and Last Active Date.
Example:
Users can use 'Delete Instances' link to bring the delete instance dialog box and they can specify an instance filter to select the instances from the available instances and delete them.
Sample instance deletion filters:
When a user clicks on instance id link at the 'Instances Created' page, instance details page for the instance represented by that ID will appear.
Instance details page will display information like process id of that instance, status, last active date and event information, scope information, variable values and activity information of that instance.


Flight Test
Take off
Motor test
Disconnect!
Reconnect!
Lab Tests
Flight Test
Passenger Mode
IP:
Throtle:
0 %
wings
90°
75
V
30
°C
22
°
0
°
tail
90°
Rudder (Yaw) 5
90°
flightCommand:
Avion Msg:


After page loaded, make it offline using Google Chrome dev tools, or something else. Try to submit data, and then make it online. Please read README.md to get started.


I had a conversation with my friend recently on what she wants to do after her undergraduate degree where she majored in Computer Science. She wanted someone to listen while she was weighing her options between pursuing a PhD and taking up the job offer she got from a big tech company. She is still yet to make a decision on which path to take. This conversation led me to think about all the other people who are at similar crossroads. Has there been a change in the way different people pursue their career over a period of time? I was particularly curious to find out if there was a change in the overall number of people who pursue a PhD (across all fields and not just Computer Science)
Tidy Tuesday to the rescue as always! It had the dataset on US PhDs awarded from the year 2008 to 2017.
library(tidyverse)
library(ggbump)
library(ggrepel)
library(gghighlight)
library(knitr)
library(kableExtra)
phd_field <- readr::read_csv("https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2019/2019-02-19/phd_by_field.csv")
theme_set(theme_bw())
The dataset has 7 broad fields, 25 different majors and 336 specializations.
phd_field %>%
glimpse()
## Observations: 3,370
## Variables: 5
## $ broad_field <chr> "Life sciences", "Life sciences", "Life sciences", "Lif...
## $ major_field <chr> "Agricultural sciences and natural resources", "Agricul...
## $ field <chr> "Agricultural economics", "Agricultural and horticultur...
## $ year <dbl> 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2...
## $ n_phds <dbl> 111, 28, 3, 68, 41, 18, 77, 182, 52, 96, 41, 32, 44, 17...
phd_field %>%
distinct(broad_field)
## # A tibble: 7 x 1
## broad_field
## <chr>
## 1 Life sciences
## 2 Mathematics and computer sciences
## 3 Psychology and social sciences
## 4 Engineering
## 5 Education
## 6 Humanities and arts
## 7 Other
n_distinct(phd_field$major_field)
## [1] 25
n_distinct(phd_field$field)
## [1] 336
I calculated the total number of PhDs by the different fields over the period of time. rank is a function that will assign a rank to the different groups. If there’s a tie, the rank assignment will be random in the below piece of code. Some of the other options include ‘first’, ‘last’ where the first or last occurring group will be assigned a rank first or last respectively. To make sure that the group with the highest number of PhDs got rank 1, I used -n_phds which sorts them in the descending order and assigns a rank.
broad_field_df <- phd_field %>%
group_by(year, broad_field) %>%
summarise(n_phds = sum(n_phds, na.rm=TRUE)) %>%
mutate(rank = rank(-n_phds, ties.method = 'random'))
The below plot shows the count of PhDs awarded from the years 2008 to 2017. As we can see the number of PhDs awarded in the Life Sciences and Psychology and social sciences disciplines has consistently increased over time. It’s interesting to note that fewer number of people are awarded PhDs in the field of Education.
broad_field_df %>%
mutate(broad_field = fct_reorder(broad_field, -n_phds)) %>%
ggplot(aes(x=year, y = n_phds, color = broad_field)) +
geom_line() +
scale_x_continuous(limits = c(2008, 2017),
breaks = seq(2008, 2017, 1)) +
scale_y_continuous(breaks = seq(0, 25000, 2000)) +
ggtitle('PhDs awarded in different Fields') +
labs(x = 'Year',
y = 'Rank',
color = 'Broad Field')
I wanted to try the ggbump package to rank order the various disciplines. Education has dropped from the third place to the fourth from the year 2011 since there are fewer people who are awarded PhDs from the year 2012, Humanities and arts has taken it’s place instead. All the other fields are very flat - there is no change in their ranks over the period of time.
broad_field_df %>%
ggplot(aes(x=year, y = rank, color = broad_field)) +
geom_point(size = 3) +
geom_text_repel(data = broad_field_df %>% ungroup() %>%
filter(year == max(year)),
aes(x = year, y=rank, label = broad_field),
size = 3, direction = "y", point.padding = NA,
hjust = 0, vjust = 0, nudge_x = 0.2) +
scale_x_continuous(limits = c(2008, 2020),
breaks = seq(2008, 2017, 1)) +
scale_y_reverse(breaks = rev(seq(1, 7, 1))) +
geom_bump()+
theme(legend.position = 'none',
plot.title = element_text(hjust = .5)) +
ggtitle('Rank of Different Fields over time (in terms of # of PhDs awarded)') +
labs(x = 'Year',
y = 'Rank')
To get the labels at the end of each rank line, I used geom_text_repel where I filtered the data for the max year and changed some aesthetics to make sure that the text was displayed in a readable form. I played around with direction, hjust, vjust, point_padding and nudge_x parameters to display the label text. I’ve had to use scale_y_reverse to make sure that Rank 1 came up on top.
I calculated the total number of PhDs grouped by the 25 different majors and will use this for plotting.
major_field_df <- phd_field %>%
group_by(year, major_field) %>%
summarise(n_phds = sum(n_phds, na.rm=TRUE)) %>%
mutate(rank = rank(-n_phds, ties.method = 'random'))
I used a ggbump plot again to find out how the ranking of the different majors has changed over time. The graph was challenging because of the number of majors in one plot - I did my best to align the labels and if anyone has a suggestion on how else this can be shown, please leave a comment and I will explore other ways.
major_field_df %>%
ggplot(aes(x=year, y = rank, color = major_field)) +
geom_point(size = 3) +
geom_text_repel(data = major_field_df %>% ungroup() %>%
filter(year == max(year)),
aes(x = year, y=rank, label = major_field),
size = 3, direction = "y", point.padding = NA,
hjust = 0, vjust = 0, nudge_x = 0.2) +
scale_x_continuous(limits = c(2008, 2025),
breaks = seq(2008, 2017, 1)) +
scale_y_reverse(breaks = rev(seq(1, 25, 1))) +
geom_bump() +
ggtitle('Ranking of different Majors by number of PhDs awarded') +
theme(legend.position = "none",
panel.grid = element_blank(),
plot.title = element_text(hjust = .5, color = "black")) +
labs(x = 'Year',
y = 'Rank')
Psychology is on top, most number of PhDs are awarded in this Major from 2015 to 2017. Biological and biomedical sciences was consistently at the top from 2007 to 2014. It was pushed to the second place in 2015 where it has remained. There are no major changes among people who pursue Psychology, Biological and biomedical sciences and Physics and Astronomy. Since there are many categories, I decided to do another plot where I want to highlight some specific majors.
For this plot, gghighlight package was very useful. I used geom_line and geom_point together since that’s one way to draw attention to some Majors.
major_field_df %>%
ggplot(aes(x=year, y = rank, color = major_field)) +
geom_line()+
geom_point(size = 3) +
gghighlight(major_field %in% c('Psychology',
'Biological and biomedical sciences',
'Education research',
'Education administration',
'Other engineering',
'Computer and information sciences',
'Mathematics and statistics',
'Agricultural sciences and natural resources'),
label_params = list(size = 3,
direction = "y", point.padding = NA,
hjust = 0, vjust = 0.5, nudge_x = 0.2)) +
scale_x_continuous(limits = c(2008, 2022),
breaks = seq(2008, 2017, 1)) +
scale_y_reverse(breaks = rev(seq(1, 25, 1))) +
theme(legend.position = "none",
panel.grid = element_blank(),
plot.title = element_text(hjust = .5, color = "black")) +
ggtitle('Ranking of different Majors by number of PhDs awarded') +
labs(x = 'Year',
y = 'Rank')
Those being awarded a PhD in Education administration has decreased significantly from the year 2010. From 6th place in 2008, this has dropped to 18th place in 2017. There is also a decrease in rank for number of PhDs in Education research.
My friend’s major Computer and Information sciences has seen fewer people being awarded PhDs in 2017 compared to 2007. However the number fell in 2008 and has remained relatively flat after that. So should my friend pursue a PhD? It’s entirely her decision. All that I offered to her is that the data does not show a big change in the way people are awarded PhDs for this discipline.
Mathematics and statistics saw a rise from Rank 14. It rose to rank 10 and is at 12th place as of 2017. It was also interesting to see the higher number of PhDs in the field of Agricultural sciences and natural resources.
Other engineering majors has seen a steep increase from a rank 15 in 2008 to rank 8. There are many people who are now pursuing a PhD among other engineering disciplines. For more information on what these other engineering disciplines are, a reference to the main dataset would be necessary.
other_engg_df <- phd_field %>%
filter(major_field == 'Other engineering') %>%
group_by(year, field) %>%
summarise(n_phds = sum(n_phds, na.rm=TRUE)) %>%
mutate(rank = rank(-n_phds, ties.method = 'random'))
other_engg_df %>%
ggplot(aes(x=year, y = rank, color = field)) +
geom_line()+
geom_point(size = 3) +
gghighlight(field %in% c('Structural engineering',
'Robotics',
'Geotechnical and geoenvironmental engineering'),
label_params = list(size = 3,
direction = "y", point.padding = NA,
hjust = 0, vjust = 0.5, nudge_x = 0.2)) +
scale_x_continuous(limits = c(2008, 2025),
breaks = seq(2008, 2017, 1)) +
scale_y_reverse(breaks = rev(seq(1, 23, 1))) +
ggtitle('') +
theme(legend.position = "none",
panel.grid = element_blank(),
plot.title = element_text(hjust = .5, color = "black")) +
labs(x = 'Year',
y = 'Rank')
Structural Engineering, Robotics and Geotechnical and geoenvironmental engineering are the three major fields where there is a significant increase in the number of PhDs awarded.
other_engg_df %>%
filter(field %in% c('Structural engineering',
'Robotics',
'Geotechnical and geoenvironmental engineering')) %>%
ggplot(aes(x = year, y = n_phds, fill = field)) +
geom_col(position = 'dodge2') +
scale_x_continuous(breaks = seq(2008, 2017, 1)) +
ggtitle('Other Engineering Majors - Biggest Popularity Increase over time') +
labs(x = 'Year',
y = 'Number of PhDs')
From no PhDs, these fields have seen an increase in the number of degrees awarded.
Thanks to my friend, I was able to practice some ggplot!


Open your console (we need git, tar and python for this to work) and run:
$ git clone https://github.com/drio/dnaism.git
$ cd dnaism/example/depth
$ make
Unpacking bed files ...
point your browser here: http://localhost:8888
python3 -m http.server 8888
Serving HTTP on <IP_ADDRESS> port 8888 ...
And now point your browser to http://localhost:8888
If everything went well you should see multiple horizon charts encoding the read depth for multiple genomic samples for a small region of the genome.
Here is a video that shows these steps:
Effective visualizations help us understand data and facilitate the navigation of intricate and dense data sets.
The web and its open standards present a fantastic environment to build visualizations and reach many people. You have probably heard of D3, a Javascript library build by Mike Bostock that beautifully abstracts and exposes these technologies for the purpose of generating and manipulating novel large-scale visualizations.
You are probably less familiar with Cubism, a project from the same author, also based on D3, that helps explore time series data using a visualization technique called Horizon Charts.
Horizon Charts are not only useful in the domain of time series data. Biological datasets, for example genomic data, can greatly benefit from them. That's why we have modified the original library to work with Genomic datasets. We call this new library DNAism.
Imagine we have a single variable we want to explore (in this case stock market data over time). We could visualize it using a simple line chart (below).
This method is effective as soon as we have enough vertical space to encode the visuals. As we decrease the vertical space, we lose graphical perception. This problem increases as more variables or a greater range of values for those variables are introduced The visualization method stops being effective. Try it out by using the slider below:
Horizon Charts can help us here. Below you can see the same dataset, this time visually encoded using a Horizon Chart.
You can find the details of the process for converting a line chart into a horizon chart here. We start by applying different colors to positive and negative values and flip the negative ones over the baseline. We then divide the chart in horizontal bands (initially one single band is used). As we reduce vertical space (try it by using the +/- buttons below), we create more bands and collapse them over the baseline. Different color intensities or shades are applied to the different bands in order to visually differentiate them.
Borrowed from Mike Bostock.
In order to get the most out of DNAism you should become familiar with the DOM, CSS, HTML and D3. You can read more about the first three technologies here.
In the rest of this document we will learn about DNAism by building a visualization to help us explore the read depth for a particular genome region across multiple DNA sequencing samples. Our input data is in BED format:
$ ls *.bed
18277.bed 23138.bed 30158.bed 34598.bed ...
19466.bed 27347.bed 32510.bed 34600.bed ...
$ head -3 18277.bed
Chr17 1100003 1100004 36
Chr17 1100004 1100005 35
Chr17 1100005 1100006 36
$ tail -3 18277.bed
Chr17 1199991 1199992 41
Chr17 1199992 1199997 40
Chr17 1199997 1200000 41
These bed files live in the server, in the same location of the web files that contain the code of the article you are reading.
We will start with a basic html document that loads DNAism and its only dependency (D3). In this basic document we also load the css styles for the different elements that DNAism will be creating in the document as we progress in the visualization.
At the end of our html document we add a script tag. Within it, we will be adding all the Javascript code that will contain all the instructions necessary to build the visualization.
Our code will use the different DNAism components to create the visualization, starting with context(). We use it to tell the library what region of the genome we want to explore.
var context = dnaism.context()
.start(1100000)
.stop(1200000)
.size(800)
.chrm('Chr17');
Here, we are interested in exploring (Chr17:1100000-1200000). We do that by setting the chromosome (usingchrm()) and the start() and stop() position of the region of interest. We also need to specify the space we have to visualize the data, in pixels.
We haven't rendered any web element yet, we are just telling DNAism what region we are interested on.
Next we define a source. This component encapsulates the logic on how to retrieve the actual data.
var source_bedfile = context.bedfile();
For this example we are using the bedfile() source. This source's logic will request whole files from the server. Notice we haven't yet specified what files we want to load, we do that with the next component metric().
Now we can use the source to instantiate as many metrics as necessary. Those metrics will point to a specific file (or sample). To start, we will work on a single sample (sample 18277). We store the metric in a Javascript array so we can add more metrics (samples) later.
metric = [ source_bedfile.metric("data/18277.bed") ];
Now DNAism is ready to retrieve data for that particular sample. We can now start creating the visual elements.
If you are not familiar with Javascript, functional programming and common D3 patterns, this chunk of code may look unreadable. Bear with me here:
d3.select("body").selectAll(".horizon")
.data(metrics)
.enter().insert("div", ".bottom")
.attr("class", "horizon")
.call(context.horizon()
.format(d3.format(".2")));
It is a fundamental pattern in D3 and you should master it if you want to use DNAism beyond the basics.
What we are doing is selecting the html element where we will be drawing the horizon chart on (or charts if there is more than one sample we are working on). We also associate metrics (the data) to that selection and apply the necessary css styles to it (horizon class). Finally, D3 calls context.horizon() to create the necessary visual elements for the metric(sample) we want to create. Remember, in this case we have only one sample.
And here you have the result:
Notice how abnormal regions are easily spot (high and low coverage). Now we can explore the read depth for more samples, just by adding them to the metrics array:
var metrics = [
source_bedfile.metric("data/18277.bed"),
source_bedfile.metric("data/19466.bed"),
source_bedfile.metric("data/23138.bed"),
];
We can use the axis() component now to help us determine what part of the genome we are exploring:
And finally, we can add a rule() to help us compare the data value, for a specific location, across the different samples. Try hovering the mouse over the chart:
And here is how the final piece of code looks like:
var context = dnaism.context()
.start(1100000)
.stop(1200000)
.size(800)
.chrm('Chr17');
d3.select("#with_rule").selectAll(".axis")
.data(["top", "bottom"])
.enter().append("div")
.attr("class", function(d) { return d + " axis"; })
.each(function(d) {
d3.select(this).call(context.axis().ticks(12).orient(d));
});
d3.select("body").append("div")
.attr("class", "rule")
.call(context.rule());
var source_bedfile = context.bedfile();
var metrics = [
source_bedfile.metric("data/18277.bed"),
source_bedfile.metric("data/19466.bed"),
source_bedfile.metric("data/23138.bed"),
];
d3.select("#with_rule").selectAll(".horizon")
.data(metrics)
.enter().insert("div", ".bottom")
.attr("class", "horizon")
.call(context.horizon()
.format(d3.format(".2")));
If the region of the genome we are exploring is large, the browser will have to load a huge number of data points. That may be a problem depending the amount of memory you have in your system. But there is a solution to this issue.
DNAism is data format and backend agnostic. You can extend DNAism to accommodate the specific details of your own datasets. This flexibility allow us, for example, to change our sources to make sure we only sent to the browser the data points that are necessary for the visualization we intend.
When we create new sources, we are extending the ways for DNAism to load datasets. A source has a metric method which encapsulates all the logic for how to retrieve data for a specific genome location. The horizon() component will make calls to each of the metrics to retrieve the necessary data points that will be used in each horizon chart.
In the logic for the most simple source (bedfile), a request is made to the webserver to retrieve the whole file associated with the metric (the sample we are working on). When the rendering happens, DNAism has to reduce the number raw data points to fit the available number of pixels in the visualization.
The bedserver source implements the same logic, but it performs a request to a RESTful service. The backend does all the heavy lifting and only returns the necessary data points. If you want to know more about how the backend works, take a look at this. You'll see the server indexes the bedfiles to speed up the queries and quickly access the regions of interest.


Development Walk-through#
This section is a concise overview of the Sage development process. We will see how to make changes to the Sage source code and record them in the Git revision control system.
In the sections of the following chapter Working on GitHub, we will look at communicating these changes back to the Sage project. All changes to Sage source code have to go through the Sage repository on GitHub.
For examples, we assume your name Alice. Always replace it with your own name.
Checking Git#
First, open a shell (for instance, Terminal on Mac) and check that Git works:
[alice@localhost ~]$ git
usage: git [--version] [--help] [-C <path>] [-c name=value]
...
The most commonly used git commands are:
add Add file contents to the index
...
tag Create, list, delete or verify a tag object signed with GPG
'git help -a' and 'git help -g' lists available subcommands and some
concept guides. See 'git help <command>' or 'git help <concept>'
to read about a specific subcommand or concept.
Don’t worry about the giant list of subcommands. You really only need a handful of them for effective development, and we will walk you through them in this guide. If you got a “command not found” error, then you don’t have Git installed; now is the time to install it. See Installing Git for instructions.
Because we also track who does what changes with Git, you must tell Git how you want to be known. Check if Git knows you:
[alice@localhost ~]$ git config --global user.name
Alice Adventure
[alice@localhost ~]$ git config --global user.email
<EMAIL_ADDRESS>If you have multiple computers, then use the same name on each of them. This name/email combination ends up in commits. So if it’s not set yet, do it now before you forget! This only needs to be done once. See Configuring Git for instructions.
Obtaining the Sage source code#
Obviously one needs the Sage source code to develop. You can use your local installation of Sage, or (to start from scratch) download it from our Sage repository on GitHub:
[alice@localhost ~]$ git clone --origin upstream https://github.com/sagemath/sage.git
Cloning into 'sage'...
[...]
Checking connectivity... done.
This creates a directory named sage
containing the sources for the
current stable and development releases of Sage. You next need to switch
to the develop branch (latest development release):
[alice@localhost ~]$ cd sage
[alice@localhost sage]$ git checkout develop
Next, build Sage, following the instruction in the file README.md in SAGE_ROOT
. If all
prerequisites to build are in place, the commands ./configure && make -j4
will do it. Additional details can be found in the section on installation
from source in the Sage installation guide. If
you wish to use conda-forge, see the section on conda.
Note
macOS allows changing directories without using exact capitalization.
Beware of this convenience when compiling for macOS. Ignoring exact
capitalization when changing into SAGE_ROOT
can lead to build
errors for dependencies requiring exact capitalization in path names.
Branching out#
In order to start modifying Sage, we want to make a new branch in the local Sage repo. A branch is a copy (except that it doesn’t take up twice the space) of the Sage source code where you can store your modifications to the Sage source code (and which you can push to your fork of the Sage repository on GitHub).
To begin with, type the command git branch
. You will see the following:
[alice@localhost sage]$ git branch
* develop
master
The asterisk shows you which branch you are on. Without an argument,
the git branch
command displays a list of all local branches
with the current one marked by an asterisk.
It is easy to create a new branch. First make sure you are on the branch from
which you want to branch out. That is, if you are not currently on the
develop
branch, type the command git checkout develop
:
[alice@localhost sage]$ git checkout develop
Switched to branch 'develop'
Your branch is up-to-date with 'origin/develop'.
Then use the git branch
command to create a new branch, as follows:
[alice@localhost sage]$ git branch last_twin_prime
Also note that git branch
creates a new branch, but does not switch
to it. For this, you have to use git checkout
:
[alice@localhost sage]$ git checkout last_twin_prime
Switched to branch 'last_twin_prime'
Now if you use the command git branch
, you will see the following:
[alice@localhost sage]$ git branch
develop
* last_twin_prime
master
Note that unless you explicitly push a branch to a remote Git repository, the branch is a local branch that is only on your computer and not visible to anyone else.
To avoid typing the new branch name twice you can use the shortcut
git checkout -b last_twin_prime develop
to create and switch to the new
branch based on develop
in one command.
The history#
It is always a good idea to check that you are making your edits on the branch that you think you are on. The following command shows you the topmost commit in detail, including its changes to files:
[alice@localhost sage]$ git show
To dig deeper, you can inspect the log:
[alice@localhost sage]$ git log
By default, this lists all commits in reverse chronological order.
If you find your branch to be in the wrong place, see the Reset and recovery section.
Many tools are available to help you visualize the history tree better. For instance,
tig
is a very nice text-mode tool.
Editing the source code#
Once you have your own branch, feel free to make any changes to source files as you like. The chapter Writing Code for Sage explains how your code should look like to fit into Sage, and how we ensure high code quality throughout.
The Git command git status
is probably the most important of all Git
commands. It tells you which files changed, and how to continue with recording
the changes:
[alice@localhost sage]$ git status
On branch last_twin_prime
Changes not staged for commit:
(use "git add <file>..." to update what will be committed)
(use "git checkout -- <file>..." to discard changes in working directory)
modified: some_file.py
modified: src/sage/primes/all.py
Untracked files:
(use "git add <file>..." to include in what will be committed)
src/sage/primes/last_pair.py
no changes added to commit (use "git add" and/or "git commit -a")
To dig deeper into what was changed in the files you can use:
[alice@localhost sage]$ git diff some_file.py
to show you the differences.
Rebuilding Sage#
Once you have made any changes, you of course want to build Sage and try out
your edits. As long as you only modified the Sage library (that is, Python and
Cython files under src/sage/...
) you just have to run:
[alice@localhost sage]$ ./sage -br
to rebuild the Sage library and then start Sage.
Note
All changes to Python files take effect immediately after restarting Sage
(unless you have used ./configure --disable-editable
when you built
Sage). Hence you can just start Sage instead of ./sage -br
if only Python
files were modified.
If you made changes to third-party packages installed as part of Sage, then you have to run
[alice@localhost sage]$ make build
as if you were installing Sage from scratch. However, this time only, the packages which were changed (or which depend on a changed package) will be rebuilt, so it should be much faster than building Sage the first time.
Note
If you have pulled a branch from the GitHub Sage repository,
it may depend on changes to third-party packages, so ./sage -br
may
fail. If this happens (and you believe the code in this branch should
compile), try running make build
.
Rarely there are conflicts with other packages, or with the already-installed older version of the package that you changed, in that case you do have to recompile everything using:
[alice@localhost sage]$ make distclean && make build
Also, don’t forget to run the tests (see Running Sage’s Doctests) and build the documentation (see The Sage Manuals).
Note
If you switch between branches based on different releases, the timestamps of modified files will change. This triggers recythonization and recompilation of modified files on subsequent builds, whether or not you have made any additional changes to files. To minimize the impact of switching between branches, install ccache using the command
[alice@localhost sage]$ ./sage -i ccache
Recythonization will still occur when rebuilding, but the recompilation stage first checks whether previously compiled files are cached for reuse before compiling them again. This saves considerable time rebuilding.
 A commit is just a snapshot of the state of all files in the repository.
Unlike with some other revision control programs, in Git you first need to stage the changed files, which tells Git which files you want to be part of the next commit:
[alice@localhost sage]$ git status
# On branch my_branch
# Untracked files:
# (use "git add <file>..." to include in what will be committed)
#
# src/sage/primes/last_pair.py
nothing added to commit but untracked files present (use "git add" to track)
[alice@localhost sage]$ git add src/sage/primes/last_pair.py
[alice@localhost sage]$ git status
# On branch my_branch
# Changes to be committed:
# (use "git reset HEAD <file>..." to unstage)
#
# new file: src/sage/primes/last_pair.py
#
Once you are satisfied with the list of staged files, you create a new
snapshot with the git commit
command:
[alice@localhost sage]$ git commit
... editor opens ...
[my_branch 31331f7] Added the very important foobar text file
1 file changed, 1 insertion(+)
create mode 100644 foobar.txt
This will open an editor for you to write your commit message. The commit message should generally have a one-line description, followed by an empty line, followed by further explanatory text:
Added the last twin prime
This is an example commit message. You see there is a one-line
summary followed by more detailed description, if necessary.
You can then continue working towards your next milestone, make
another commit, repeat until finished. As long as you do not
git checkout
another branch, all commits that you make will be part of
the branch that you created.


Corporate UI - An open source framework controlled by ourselfes
- Making Modular HTML based application development possible.
- Documentation available at www.github.com/scania/corporate-ui
- Code (basic package) are available at www.github.com/scania/corporate-ui
We are learning to create a good User Experience
But we still are working in silos. One project can't re-use code from another project. We even find projects where teams have created the same functionallity in a SINGLE PAGE APPLICATiON.
Corporate UI are an enabler to re-use between teams, projects and companies. It is framework agnostic and are used by .Net teams, JAVA teams as well as Angular and React teams. The main navigation is a good example and it's a cross functional pattern crucial for an overall user experience.
Custom Elements are the future
We now package interaction patterns as
H1 is a standard element
Let's look at an example:
https://scania.github.io/corporate-ui/ux-process/demo.html?brand=scania
Distributed ownership
Packaging HTML, CSS and JS as rock solid interaction patterns or content modules owned and controlled by the UX Designers. Others can't screw things up rather than working only with their defined components.
Main navigation and other UI components are hosted on a CDN service while the documentation are hosted with the UX team.
Let's look at an example:
https://scania.github.io/corporate-ui/template/html-copy-paste/html-copy-paste.html
You can include Analytics tags within each element as well, even for a simple button or an alert message.
A common specification
If we could agree on a common Web Component specification for creating and storing components it would be a great start.
Start demanding all advertising agencies to deliver "white labled components" easy to re-use within the group.
Polymer and Polyfills
World Wide Consortsium is setting standards to be implemented in all major browsers.
Chrome and Safari, as Evergreen browsers, are quick to implement new standards.
Polymer are simply using JavaScript code to make old browsers understand the current specification from W3C.
Polymer aims to get rid of itself, as standards are built into the browser.
Deploying a simple Web Component
This presentation can easily be turned into a web component and called upon using a custom element, for example:


{% extends "cases/base.html" %} {% load crispy_forms_tags %} {% load render_table from django_tables2 %} {% block content %}
Importers on this page have had an issue during their most recent import attempt. You will need to manually resolve the offending source files, then reimport them in order to resolve these.
{% else %} {% include "audits/congratulations.html" with name="File Importers"%} {% endif %} {% endblock content %}


It may be necessary to set additional LDAP provider properties (see the Oracle documentation for a full list) in order to ensure optimum performance. Two specific values you should
consider setting are:
com.sun.jndi.ldap.connect.timeout
- The value is the number of milliseconds to use as the connection timeout.
Note: As of version 1.7 of the LDAP plugin this value has a default, if not set, of 30 seconds.
com.sun.jndi.ldap.read.timeout
- The value is the number of milliseconds to use as the read timeout.
Note: As of version 1.7 of the LDAP plugin this value has a default, if not set, of 60 seconds


{% extends "layout.html" %} {% block title %} Teachers {% endblock %} {% block head %} {% endblock %} {% block main %}
This is a longer card with supporting text below as a natural lead-in to additional content. This content is a little bit longer.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Integer posuere erat a ante.
This card has supporting text below as a natural lead-in to additional content.
Last updated 3 mins ago
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Integer posuere erat.
This card has supporting text below as a natural lead-in to additional content.
Last updated 3 mins ago
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Integer posuere erat a ante.
This is a wider card with supporting text below as a natural lead-in to additional content. This card has even longer content than the first to show that equal height action.
Last updated 3 mins ago


Inclusive UX: Techniques for Everyone
Derek Featherstone, Founder, Simply Accessible
Planning ahead
We review wireframes because of their predictive and preventive value.Storyboards help surface disagreement earlier in the process. Starting the process with wireframes and as much information on them helps start converstion since the begining
Accessibility is an outcome. Inclusive Design is a process. learn from accidental accessibility and how can we purposly include it in our design
Inclusive UX Design. The intentional facilitation and crafting of the interactions within an ecosystem that incorporates inclusion as a core value. When we include in in our core value is gets implemented because is part of the process.
Techniques
Communication
Add as more annotations to wireframes and communciate as much context as possible so the design is intentional and the developers or the next teammante doesnt have to guess later what the intent was.
Reverse engineering
You can prevent before things happen when designing in code. Reverse engineering by bringing it back to wireframe state where you can catch some things that may not be ovbvios at product stage
Interaction tables
Practice Inclusive Design
Inclusion encompass more than accessibliity is including every user The practice of inclusive design puts you ahead of the curve for best practices for accessibility that will become a future standard X months from now.
Usability studies help you learn things that can become patterns that can be included as core values and be included as standards. Design with people with disabilities, not FOR people with disabilities. You can do this by usability testing
Color Pallette
Show color palletes in combinations with contrast and text size and color parings, spell out the color contrast ratio. Show color combinations both good and bad people need to know what is bad
Start building interfaces that can switch views so you have ability to show different views that may be better for more users
CSS calss names
classes: current, expanded, error, hidden there are aria labels that are more descriptive and can provide more content. We have better ways to express these things, lets reproduce the meaning with an aria label or even in html
High contrast tweaks
Css images dissapear under high contrast theme so you need to take in account elements that dissapear in high contrast mode. The use of borders on things is a good idea since it can help on highcontrast theme, it can be really subbtle but can really help
Gestures
Consider people that cant have gestures and add aditional methods to activate or interact with items
Black holes
set indication of items that rely only on visual ques. People want to know a context before going on that black hole and not knowing like in a carusel that has tons of items. What happens if you get down that path. Give users an out and stop using elements, is not all about getting access to items but a way out too.
Books and resources
Find all the slides for this talk
Slide for this conference Day 3 Talk-12 The Four beasts of Accessibility


Weekend Bilan
What a glorious weekend, spent at Graham's cottage. I'll have to see if there are any other pics than those of two bratty dogs having a wild time. It was really neat, and in a general sense reminded me a lot about my life from before in Ottawa. Nice, active people, outdoorsy atmosphere, fun. I miss that.
Finally, I didn't take the MR2. There is no way I could have properly taken care of it living in Old Montreal. It's sad, but it's the right thing to do. I was a bit heart-broken as we drove back to Ottawa to leave it with my brother and Dean, and even more sad when I started driving Joan's Matrix... But I'll live.
I biked in today. Almost puked, need more sleep and more exercise. Normally it's slightly less than an hour, I think it was an hour and fifteen minutes today. Bleah. I've been at work 11.5 hours now, and am about to bike home in the rain and dark. Did fall come on fast, or what!?
About this entry
You"re currently reading "Weekend Bilan," an entry on a crick in the net
- Published:
- 09.07.04 / 8pm
- Category:
- Circular File


This employee handbook is designed to answer questions that current and prospective employees may have about our employment policies, benefits, perks, hiring process, office policies, etc. The content within applies to Sparksuite and its subsidiaries. We’ve posted this publicly to promote a culture of transparency and clarity.
We’ve also open sourced this on GitHub to allow others to contribute and to track the changes we’ve made to these policies over time. We’ve given it a flexible license so other companies can benefit from our research and work.
If you would like to make a contribution, pull requests on GitHub are encouraged! We’d also love to answer any questions or comments you may have, so feel free to reach out.
CEO of Sparksuite
Our flexible health reimbursement arrangement covers a variety of insurance premiums and out-of-pocket expenses.
Employees earn a generous amount of highly flexible paid time off.
View the holidays we observe, for which employees receive paid time off.
Enjoy a delicious variety of snacks and drinks while working at the office.
Fast paced, ambitious goals, cutting edge technology—but without the usual risk.
We really mean that. Our team members should enjoy a great work and personal life balance.
Team members are equipped with a standing desk and the latest technology.
We provide a 401(k) through a high-tech, ultra low-fee provider, with considerable company matching.
Work the hours that are best for you each day. Details about windows of time to work within.
On the first Friday of each month, we gather together for a free meal.
Every Tuesday we enjoy delicious breakfast tacos from local restaurants.
Cutting edge tools for an efficient and enjoyable working environment.
All employees can take up to 12 weeks of leave when they become a new parent.
How employees should conduct themselves as representatives of our company.
Comfortable and casual, but not tacky.
Information about taking a lunch break.
Useful information about how payroll works.
Ensuring a safe and productive work environment.
Privacy as it relates to our company and the workplace.
Policies regarding working remotely.
Information about the nature of employment.
Our stance against discrimination.
Introduction to, and acknowledgment of, this employee handbook.
Proprietary Information and Inventions Assignment Agreement.


Forking — https://github.com/{{owner.login}}/{{name}}
This shouldn't take too long, we're just cloning the project which takes a series of seconds.
Once cloned, this url will automatically clean itself up and remove the files after 5 minutes of idle time.


Computer Practical
Program #1
Program #2
Program #3
Program #4
Program #5
Program #6
Program #7
Program #8


{% extends "error/errorlayout.html" %}
{% block title %}
500 Internal Server Error
{% endblock %}
{% block errortext %}
Whoops, an error occurred (internally). Descriptive, I know. Hopefully someone will be along shortly to clean up the mess.
{% endblock %}


CAT Free Mock Test Result
Try harder next time!
You didn't meet the cut off.
Overall
Saab
Opel
Audi
 Cut off is: 75
SCORE
0
/300
RANK
0
/300
CORRECT
0
Ques
WRONG
0
Ques
SKIPPED
100
Ques
 PERCENTILE
45.00%
 ACCURACY
45.00%
 TIME
45.00%
VIEW SOLUTIONS


Session 04 - Ex. 03
Seconds Calculator
Calculate the hours, minutes and seconds
Write a function named calculateTime that:
- takes 1 arguments: seconds
- calculates the hours, minutes and seconds from the input.
- outputs the result to the screen like so: "There are 3 hours, 24 minutes and 32 seconds"
- Call the function three times with different sets of values.


dataset keys and dataset find … support the -sample
option. The sample option expects a sample size as an argument. If the sample size is greater than zero then a sample output will be taken. On dataset keys the sample is taken after any filter is supplied.
Likewise for dataset find the sample is taken after the query results have been calculated. Is the sample size is greater then the results returned then the who results set is return without random sampling.
If sample size is less than result set then a random sampling of the results is taken.
If you are doing Machine Leaning type of sampling (e.g. calculating a test and training set) then normally you create a test key list like this
dataset -sample="$N" keys
where
$N
holds the test sample size. After keylist is generated you can then create a training set by excluding the keys associated with the sample.


Containing:
code containing <s>html</s>
code containing &
Contained:
html containing code
code
Intertwined:
with html</s>
code <s>intertwined


We got metrics!
- synergize proactive channels
- iterate vertical synergies
- expedite holistic e-business
- reinvent bleeding-edge synergies
- cultivate B2C systems
- envisioneer B2B experiences
- visualize frictionless applications
- utilize efficient web-readiness
- cultivate extensible e-commerce
- transform intuitive experiences
- redefine 24/365 initiatives
- empower real-time communities
- deliver bleeding-edge systems
- evolve rich e-tailers
- engineer visionary relationships


Source code for pymonad.tools
# --------------------------------------------------------
# (c) Copyright 2020 by Jason DeLaat.
# Licensed under BSD 3-clause licence.
# --------------------------------------------------------
""" The tools module contains useful functions that don't really belong anywhere else. """
from typing import Any, Callable, List, TypeVar
import pymonad.monad as monad
R = TypeVar("R") # pylint: disable=invalid-name
S = TypeVar("S") # pylint: disable=invalid-name
T = TypeVar("T") # pylint: disable=invalid-name
def _curry_helper(
number_of_arguments: int,
function_to_curry: Callable,
accumulated_arguments: List[Any],
) -> Callable:
""" Builds a curried version of the supplied function and returns it to the caller.
Args:
number_of_arguments: specifies how many arguments 'function_to_curry' takes as input.
function_to_curry: a function or other callable object either built-in or user defined.
accumulated_arguments: a list containing all the arguments so
far supplied to 'function_to_curry'. For instance, if
'function_to_curry' takes two arguments but has been called with
only one so far, then accumulated_arguments will contain a
single item.
Returns:
A new function which may be partially applied simply by passing
the desired number of arguments.
"""
def _curry_internal(*arguments: List[Any]):
""" Handles the actual partial application of curried functions.
Args:
*arguments: a variable number of arguments to be
(eventually) supplied to the wrapped function
'function_to_curry'
Returns:
Either the result of calling the wrapped function_to_curry
with the total accumulated arguments or the result of
calling _curry_helper with the new, larger
accumulated_arguments list.
"""
all_arguments = accumulated_arguments[:]
all_arguments.extend(arguments)
if len(all_arguments) >= number_of_arguments: # pylint: disable=no-else-return
return function_to_curry(*all_arguments)
else:
return _curry_helper(number_of_arguments, function_to_curry, all_arguments)
return _curry_internal
# Use _curry_helper to define curry as itself being a curried function.
curry = _curry_helper(
2, lambda n, f: _curry_helper(n, f, []), []
) # pylint: disable=invalid-name
curry.__doc__ = """ Creates a curried function from a normal function of callable object.
The curry function is itself curried and can be partially
applied. It can be used either as a normal function call or as a
decorator. The required number_of_arguments parameter makes it
possible to curry functions which take a variable number of
arguments like the built-in 'map' function.
Example:
>>> curried_map = curry(2, map)
>>> @curry(2)
>>> def some_func(x, y, z):
>>> return x + y - z
Args:
number_of_arguments: The number of arguments function_to_curry
takes as input. If function_to_curry takes a variable number of
arguments, then number of curried arguments desired in the
result: function_to_curry will be called once this many
arguments have been supplied.
function_to_curry: The function that we wish to curry
Returns:
A new function which may be partially applied simply by passing
the desired number of arguments.
"""
[docs]def identity(value: T) -> T:
""" Returns it's input value unchanged. """
return value
[docs]def kleisli_compose(
function_f: Callable[[R], monad.Monad[S]], function_g: Callable[[S], monad.Monad[T]]
) -> Callable[[R], monad.Monad[T]]:
""" Composes two Kleisli functions.
Kleisli functions are functions which take as input a 'bare' value
and return an 'embellished' value. For instance, if we have a
function f which maps a's to b's, it's type is:
f :: a -> b
Then the corresponding Kleisli function, f_kleisli has the type:
f_kleisli :: a -> (b, m)
The type (b, m) corresponds to the internal representation of the
Monad class, so in terms of pymonad, a Kleisli function is one
which maps values of type a to values of some sub-class of Monad.
Example:
>>> def fail_if_zero(x):
>>> return Nothing if x is zero else Just(x)
>>> def add1(x):
>>> return Just(x + 1)
>>> new_function = kleisli_compose(add1, fail_if_zero)
>>> new_function(0) # returns Just(1)
>>> new_function(-1) # returns Nothing
add1 and fail_if_zero are Kleisli functions and new_function is
the function which results from first performing add1 followed by
fail_if_zero.
Args:
function_f: a function with type: a -> (b, m)
function_g: a function with type: b -> (c, m)
Returns:
A new Kleisli function with type: a -> (c, m)
"""
return lambda a: function_f(a).bind(function_g)


| I l@ve RuBoard |
Functional arguments for algorithms don't have to be functions. They can be objects that behave as functions. Such an object is called a function object, or functor. Sometimes you can use a function object when an ordinary function won't work. The STL often uses function objects and provides several function objects that are very helpful.
Function objects are another example of the power of generic programming and the concept of pure abstraction. You could say that anything that behaves like a function is a function. So, if you define an object that behaves as a function, it can be used as a function.
So, what is the behavior of a function? The answer is: A functional behavior is something that you can call by using parentheses and passing arguments. For example:
function (arg1 ,arg2); //a function call
So, if you want objects to behave this way you have to make it possible to "call" them by using parentheses and passing arguments. Yes, that's possible (there are rarely things that are not possible in C++). All you have to do is define operator () with the appropriate parameter types:
class X { public: //define "function call" operator return-value operator() (arguments) const; ... };
Now you can use objects of this class to behave as a function that you can call:
X fo; ... fo(arg1, arg2); //call operator () for function object fo
The call is equivalent to:
fo.operator() (arg1,arg2); //call operator () for function object fo
The following is a complete example. This is the function object version of a previous example (see page 119) that did the same with an ordinary function:
// stl/foreach2.cpp #include <iostream> #include <vector> #include <algorithm> using namespace std; //simple function object that prints the passed argument class PrintInt { public: void operator() (int elem) const { cout << elem << ' '; } }; int main() { vector<int> coll; //insert elements from 1 to 9 for (int i=1; i<=9; ++i) { coll.push_back(i); } //print all elements for_each (coll.begin(), coll.end(), //range PrintInt()); //operation cout << endl; }
The class PrintInt defines objects for which you can call operator () with an int argument. The expression
PrintInt()
in the statement
for_each (coll.begin(), coll.end(), PrintInt());
creates a temporary object of this class, which is passed to the for_each() algorithm as an argument. The for_each() algorithm is written like this:
namespace std { template <class Iterator, class Operation> Operation for_each (Iterator act, Iterator end, Operation op) { while (act != end) { //as long as not reached the end op (*act); // - call op() for actual element act++; // - move iterator to the next element } return op; } } }
for_each() uses the temporary function object op to call op(*act) for each element act. If the third parameter is an ordinary function, it simply calls it with *act as an argument. If the third parameter is a function object, it calls operator () for the function object op with *act as an argument. Thus, in this example program for_each() calls:
PrintInt::operator()(*act)
You may be wondering what all this is good for. You might even think that function objects look strange, nasty, or nonsensical. It is true that they do complicate code. However, function objects are more than functions, and they have some advantages:
Function objects are "smart functions."
Objects that behave like pointers are smart pointers. This is similarly true for objects that behave like functions: They can be "smart functions" because they may have abilities beyond operator (). Function objects may have other member functions and attributes. This means that function objects have a state. In fact, the same function, represented by a function object, may have different states at the same time. This is not possible for ordinary functions. Another advantage of function objects is that you can initialize them at runtime before you use/call them.
Each function object has its own type.
Ordinary functions have different types only when their signatures differ. However, function objects can have different types even when their signatures are the same. In fact, each functional behavior defined by a function object has its own type. This is a significant improvement for generic programming using templates because you can pass functional behavior as a template parameter. It enables containers of different types to use the same kind of function object as a sorting criterion. This ensures that you don't assign, combine, or compare collections that have different sorting criteria. You can even design hierarchies of function objects so that you can, for example, have different, special kinds of one general criterion.
Function objects are usually faster than ordinary functions.
The concept of templates usually allows better optimization because more details are defined at compile time. Thus, passing function objects instead of ordinary functions often results in better performance.
In the rest of this subsection I present some examples that demonstrate how function objects can be "smarter" than ordinary functions. Chapter 8, which deals only with function objects, provides more examples and details. In particular, it shows how to benefit from the ability to pass functional behavior as a template parameter.
Suppose you want to add a certain value to all elements of a collection. If you know the value you want to add at compile time, you could use an ordinary function:
void add10 (int& elem) { elem += 10; } void fl() { vector<int> coll; ... for_each (coll.begin(), coll.end(), //range add10); //operation }
If you need different values that are known at compile time, you could use a template instead:
template <int theValue> void add (int& elem) { elem += theValue; } void f1() { vector<int> coll; ... for_each (coll.begin() , coll.end(), //range add<10>); //operation }
If you process the value to add at runtime, things get complicated. You must pass the value to the function before the function is called. This normally results in some global variable that is used both by the function that calls the algorithm and by the function that is called by the algorithm to add that value. This is messy style.
If you need such a function twice, with two different values to add, and both values are processed at runtime, you can't achieve this with one ordinary function. You must either pass a tag or you must write two different functions. Did you ever copy the definition of a function because it had a static variable to keep its state and you needed the same function with another state at the same time? This is exactly the same type of problem.
With function objects, you can write a "smarter" function that behaves in the desired way. Because the object may have a state, it can be initialized by the correct value. Here is a complete example [12] :
[12] The auxiliary function PRINT_ELEMENTS() was introduced on page 118.
// stl/add1.cpp #include <iostream> #include <list> #include <algorithm> #include "print.hpp" using namespace std; //function object that adds the value with which it is initialized class AddValue { private: int the Value; //the value to add public: //constructor initializes the value to add AddValue(int v) : theValue(v) { } //the "function call" for the element adds the value void operator() (int& elem) const { elem += theValue; } }; int main() { list<int> coll;
The first call of for_each() adds 10 to each value:
for_each (coll.begin(), coll.end(), //range AddValue(10)) ; //operation
Here, the expression AddValue(10) creates an object of type AddValue that is initialized with the value 10. The constructor of AddValue stores this value as the member theValue. Inside for_each(), "()" is called for each element of coll. Again, this is a call of operator () for the passed temporary function object of type AddValue. The actual element is passed as an argument. The function object adds its value 10 to each element. The elements then have the following values:
after adding 10: 11 12 13 14 15 16 17 18 19
The second call of for_each() uses the same functionality to add the value of the first element to each element. It initializes a temporary function object of type AddValue with the first element of the collection:
AddValue (*coll. begin())
The output is then as follows:
after adding first element: 22 23 24 25 26 27 28 29 30
See page 335 for a modified version of this example, in which the AddValue function object type is a template for the type of value to add.
By using this technique, two different function objects can solve the problem of having a function with two states at the same time. For example, you could simply declare two function objects and use them independently:
AddValue addx (x); //function object that adds value x AddValue addy (y); //function object that adds value y for_each (coll.begin(),coll.end(), //add value x to each element addx); ... for_each (coll.begin(),coll.end(), //add value y to each element addy); ... for_each (coll.begin() .coll.end(), //add value x to each element addx);
Similarly you can provide additional member functions to query or to change the state of the function object during its lifetime. See page 300 for a good example.
Note that for some algorithms the C++ standard library does not specify how often function objects are called for each element, and it might happen that different copies of the function object are passed to the elements. This might have some nasty consequences if you use function objects as predicates. Section 8.1.4, covers this issue.
The C++ standard library contains several predefined function objects that cover fundamental operations. By using them, you don't have to write your own function objects in several cases. A typical example is a function object used as a sorting criterion. The default sorting criterion for operator < is the predefined sorting criterion less<>. Thus, if you declare
set<int> coll;
it is expanded to [13]
[13] For systems that don't provide default template arguments, you usually must use the latter form.
set<int, less<int> > coll; //sort elements with <
From there, it is easy to sort elements in the opposite order [14] :
[14] Note that you have to put a space between the two ">" characters. ">>" would be parsed as shift operator, which would result in a syntax error.
set<int ,greater<int> > coll; //sort elements with >
Similarly, many function objects are provided to specify numeric processing. For example, the following statement negates all elements of a collection:
transform (coll.begin() , coll.end(), //source coll.begin(), //destination negate<int>()) ; //operation
The expression
negate<int>()
creates a function object of the predefined template class negate that simply returns the negated element of type int for which it is called. The transform() algorithm uses that operation to transform all elements of the first collection into the second collection. If source and destination are equal (as in this case), the returned negated elements overwrite themselves. Thus, the statement negates each element in the collection.
Similarly, you can process the square of all elements in a collection:
//process the square of all elements transform (coll.begin(), coll.end(), //first source coll.begin(), //second source coll.begin(), //destination multiplies<int>()) ; //operation
Here, another form of the transform() algorithm combines elements of two collections by using the specified operation, and writes the resulting elements into the third collection. Again, all collections are the same, so each element gets multiplied by itself, and the result overwrites the old value. [15]
[15] In earlier versions of the STL, the function object for multiplication had the name times. This was changed due to a name clash with a function of operating system standards (X/Open, POSIX) and because multiplies was clearer.
By using special function adapters you can combine predefined function objects with other values or use special cases. Here is a complete example:
// stl/fo1.cpp #include <iostream> #include <set> #include <deque> #include <algorithm> #include "print.hpp" using namespace std; int main() { set<int,greater<int> > coll1; deque<int> coll2; //insert elements from 1 to 9 for (int i=1; i<=9; ++i) { coll1.insert(i); } PRINT.ELEMENTS(coll1,"initialized: "); //transform all elements into coll2 by multiplying 10 transform (coll1 .begin(), coll1 .end(), //source back_inserter(coll2), //destination bind2nd(multiplies<int>() ,10)); //operation PRINT_ELEMENTS(coll2,"transformed: "); //replace value equal to 70 with 42 replace_if (coll2.begin(),coll2.end(), //range bind2nd(equal_to<int>() ,70) , //replace criterion 42) ; //new value PRINT_ELEMENTS(coll2,"replaced: "); //remove all elements with values less than 50 coll2.erase(remove_if(coll2.begin(),coll2.end(), //range bind2nd(less<int>() ,50)), //remove criterion coll2.end()); PRINT_ELEMENTS(coll2,"removed: "); }
With the statement
transform (coll1.begin() ,coll1.end() //source back_inserter (coll2) , //destination bind2nd(multiplies<int>() ,10)) ; //operation
all elements of coll1 are transformed into coll2 (inserting) while multiplying each element by 10. Here, the function adapter bind2nd causes multiply<int> to be called for each element of the source collection as the first argument and the value 10 as the second.
The way bind2nd operates is as follows: transform() is expecting as its fourth argument an operation that takes one argument; namely, the actual element. However, we would like to multiply that argument by ten. So, we have to combine an operation that takes two arguments and the value that always should be used as a second argument to get an operation for one argument. bind2nd does that job. It stores the operation and the second argument as internal values. When the algorithm calls bind2nd with the actual element as the argument, bind2nd calls its operation with the element from the algorithm as the first argument and the internal value as the second argument, and returns the result of the operation.
Similarly, in
replace_if (coll2.begin(),coll2.end(), //range bind2nd(equal_to<int>(),70), //replace criterion 42);
the expression
bind2nd(equal_to<int>(),70)
is used as a criterion to specify the elements that are replaced by 42. bind2nd calls the binary predicate equal_to with value 70 as the second argument, thus defining a unary predicate for the elements of the processed collection.
The last statement is similar because the expression
bind2nd(less<int>(),50)
is used to specify the element that should be removed from the collection. It specifies that all elements that are less than value 50 be removed. The output of the program is as follows:
initialized: 9 8 7 6 5 4 3 2 1 transformed: 90 80 70 60 50 40 30 20 10 replaced: 90 80 42 60 50 40 30 20 10 removed: 90 80 60 50
This kind of programming results in functional composition. What is interesting is that all these function objects are usually declared inline. Thus, you use a function-like notation or abstraction, but you get good performance.
There are other kinds of function objects. For example, some function objects provide the ability to call a member function for each element of a collection:
for_each (coll.begin(), coll.end(), //range mem_fun_ref (&Person: : save)); //operation
The function object mem_fun_ref calls a specified member function for the element for which it is called. Thus, for each element of the collection coll, the member function save() of class Person is called. Of course, this works only if the elements have type Person or a type derived from Person.
Section 8.2, lists and discusses in more detail all predefined function objects, function adapters, and aspects of functional composition. It also explains how you can write your own function objects.
| I l@ve RuBoard |


This is the official website of Professor Keith Ward. Read an introduction to his academic career together with recommended books to help understand his thinking.
Read about recent lectures, books and posts from the last two years. Read a fuller CV to find out more about his career.
Browse a full book list including articles in books on the subjects of Faith and Reason, the Diversity of Religions, the Idea of God, Liberal Theology, Religion and Science, and Ethical Issues.


&
&
ADOPT A PRO-LIFE STUDENT GROUP:
HELP THEM START A REVOLUTION FOR LIFE
Send a Kit, Speaker or
Pregnancy Resource Forum Moderator to Campus!
 But you and I can reach her before she crosses the threshold of the clinic
door, before she lays her body down, before that child is lost forever.
Student leaders are eager for FFL kits to help grow their group and reach abortion-minded
women. They are already asking for speakers, FFL Pregnancy Resource ForumTM moderators
and kits. In fact, we already have dozens of events in the works across the country
now!
We urgently need to get Feminists for Life kits to every pro-woman, pro-life student
group in the country


'Irishman,' 'Dolemite,' 'Morning Show' score top Golden Globe nominations
by Karen ButlerDec. 9 (UPI) -- The Irishman, Once Upon a Time in Hollywood, Dolemite is My Name and The Morning Show emerged as top contenders when Golden Globe nominations were announced in Los Angeles on Monday.
Tim Allen, Dakota Fanning and Susan Kelechi Watson read aloud the names of the nominees in the film and television categories.
Winners of the awards are to be announced at a Jan. 5 gala hosted by comedian Ricky Gervais. The ceremony will air on NBC.
The nominees in the major Golden Globe categories are:
Best Drama Film
1917
The Irishman
Joker
Marriage Story
The Two Popes
Best Comedy or Musical Film
Dolemite is My Name
Jojo Rabbit
Knives Out
Once Upon a Time in Hollywood
Rocketman
Best Actor in a Drama Film
Christian Bale Ford v Ferrari
Antonio Banderas Pain and Glory
Adam Driver Marriage Story
Joaquin Phoenix Joker
Jonathan Pryce The Two Popes
Best Actress in a Drama Film
Cynthia Erivo Harriet
Scarlett Johansson Marriage Story
Saoirse Ronan Little Women
Charlize Theron Bombshell
Renee Zellweger Judy
Best Actor in a Comedy or Musical Film
Daniel Craig Knives Out
Roman Griffin Davis Jojo Rabbit
Leonardo DiCaprio Once Upon a Time in Hollywood
Taron Egerton Rocketman
Eddie Murphy Dolemite is My Name '
Best Actress in a Comedy or Musical Film
Anna de Armas Knives Out
Awkwafina The Farewell
Cate Blanchett Where'd You Go, Bernadette?
Beanie Feldstein Booksmart
Emma Thompson Late Night
Best Supporting Actor in a Film
Tom Hanks A Beautiful Day in the Neighborhood
Anthony Hopkins The Two Popes
Al Pacino The Irishman
Joe Pesci The Irishman
Brad Pitt Once Upon a Time in Hollywood
Best Supporting Actress in a Film
Kathy Bates Richard Jewell
Annette Bening The Report
Laura Dern Marriage Story
Jennifer Lopez Hustlers
Margot Robbie Once Upon a Time in Hollywood
Best TV Drama
Big Little Lies
The Crown
Killing Eve
The Morning Show
Succession
Best TV Comedy
Barry
Fleabag
The Kominsky Method
The Marvelous Mrs. Maisel
The Politician
Best Actor in a TV Drama
Brian Cox Succession
Kit Harington Game of Thrones
Rami Malek Mr. Robot
Tobias Menzies The Crown
Billy Porter Pose
Best Actress in a TV Drama
Jennifer Aniston The Morning Show
Olivia Colman The Crown
Jodie Comer Killing Eve
Nicole Kidman Big Little Lies
Reese Witherspoon The Morning Show
Best Actor in a TV Comedy
Michael Douglas The Kominsky Method
Bill Hader Barry
Ben Platt The Politician
Paul Rudd Living With Yourself
Rami Youssef Ramy
Best Actress in a TV Comedy
Christina Applegate Dead to Me
Rachel Brosnahan The Marvelous Mrs. Maisel
Kirsten Dunst On Becoming a God in South Florida
Natasha Lyonne Russian Doll
Phoebe Waller-Bridge Fleabag


<searchtitle>
The <searchtitle>
element is used to specify a title that should be
displayed by search tools that locate the topic. This is most useful when the topic has a
title that makes sense in the context of a single information set, but may be too general
in a list of search results; for example, a topic title of "Markup example" may make sense
as part of a guide to DITA, but when found among thousands of unrelated topics, a search
title of "DITA markup example" is more useful.
Category: Basic topic elements


{% extends 'base/layout.html' %} {% load staticfiles %} {% block css %} {% endblock %} {% block content %}
When suspiciously goodness labrador understood rethought yawned grew piously endearingly inarticulate oh goodness jeez trout distinct hence cobra.


Hello I am Samidhya Sarker. I am a Software Engineer currently working at Bangladesh National Digtial Architecture (BNDA Team) of the BGD e-GOV CIRT project of Bangladesh Computer Council (BCC).
My old blogs can be found at Facebook Notes, Medium, WordPress
I also play Video Games and watch Movies .


Home
Back
My DashBoard
Find A Hair Professional
{{ photo }}
{{fullName}} ({{typeofprof}})
{{phone}}
{{email}}
0 stars
{{rating}} {{ favButton }}
{{ shop }}
{{address}}
{{certified}}
" {{aboutMe}} "
{{ appt }} {{ rateme }} {{ hours }} {{ services }} {{ reviews }}


{% extends "baselayout.html" %} {% load bootstrap3 %} {% block content %}
Please enter any comments you may have about this site and click "submit" to send your feedback to us. We value your contributions and comments.
NOTE: Video files can be quite large, and may take a long time to send. Please be patient when submitting this feedback.
{% endblock %}


The Cockroach Admin UI Next version is a major refactoring of the current web UI which is under development.


In compliance with our rental agreement, reservations of SLS equipment must be made at least two full days in advance of rental date, and five full days previous to rentals that require additional arrangements (technicians or transportation), so that SLS may generate a contract and equipment list to be available to the renter within two days of the booking date. Failure to comply with this will result in the loss of any potential discounts, and may incur a fine.
Reservations may be made on via our online form, over the phone, or in person at our office in the Memorial Union Building Room 106.
Notice of cancellation of services must be submitted at least 24 hours in advance of intended use. Failure to do so may result in a charge of thirty dollars ($30), or the full cost of the rental, whichever is less.
Rental fees are determined by a rate structure that varies with the value of the item and the term of the rental. Rental prices given are for the first three days of rental. Contact us for rates over three days.
If transportation is required, delivery must be arranged at least five days prior to the rental term, and has a base charge of forty-five dollars ($45) with each mile away from campus incurring an additional one dollar fee for each mile. Delivery is only applicable to the Houghton and Hancock areas.
If you need an SLS Technician to assist you in running the equipment, SLS classifies the rental as an event and it must be arranged through SLS’ Operations Coordinator at least one week in advance. Note: Certain items require that an SLS Technician be present.
A valid state photo ID (driver’s license) is required for equipment pickup. Additionally, if the renter has any concerns or questions about the rental equipment, all equipment is available for inspection the day of the rental. If the renter requires any technical help with the equipment, SLS will provide basic equipment setup, which can be explained when the equipment is picked up. Any additional technical help or service provided by SLS employees may be justification for additional charges.
At the drop off time, if the equipment is not cleaned, or cables are not neatly coiled, the renter will be charged labor costs determined by SLS for the cleaning and/ or organization of the equipment with a $5 minimum. Late equipment drop off rates are 35% per day with a $10 per day minimum fine. If items are returned late, any applicable discounts are also forfeited.
Let it be known to the renter that SLS equipment is not insured by SLS for the duration of the rental. Any damages or missing items are the sole responsibility of the renter. All rentals are for personal use only; equipment may not be sub-rented or used for profit by the renter. Any rental used for personal profit voids any and all discount that the renter may have qualified for.
Any problem with the equipment must be reported as soon as the renter discovers it. If needed, replacement equipment will be supplied to the best of our abilities and availability. Any price adjustments due to failure will be determined by SLS; price adjustments will always be in the favor of the renter.
Any attempted, unauthorized service or alteration will result in additional charges determined by SLS. If an item is lost during the duration of the rental agreement, the renter will be liable for the full replacement cost of the item. If an item is damaged during the duration of the rental agreement, the renter will be liable for the repair or replacement cost of the item. To insure the protection of SLS equipment and or employees, SLS must be allowed access to inspect the equipment at any point in time and has the option to remove the equipment for failure to meet with the terms of the contract or for the protection of personal and equipment.
If it is found that the renter has breached or violated this contract, SLS reserves the right to impose a fine of up to $1000.00 as it sees fit. The renter, and possibly the organization with which there are representing, may also be prohibited from future business dealings with SLS.
SLS, otherwise Sound and Lighting Services, is the entity whom created and updates these terms, which can be changed without notice. Further, SLS is a student run production company providing event services to the student organizations of Michigan Technological University and University sponsored events; this excludes events held in the Rozsa Center for the Performing Arts.
The management team of SLS is comprised of the following: General Manager/ President, Operations Coordinator/ Vice President, Assistant Operations Coordinator/ Treasurer, Senior Storeroom Manager, and Assistant Storeroom Manager. Note: There may be more than one Assistant Storeroom Manager.
The Client is the person or organization who requested SLS’ services, or the organization that brought the event to campus.
A rental is when SLS’ equipment is borrowed without need for assistance in running the equipment; minor setup (not to exceed 2.5 total man hours) of equipment is allowed with rentals.
A service or rental request [Request] is filling out the request form found on SLS’ website. In the event of form problems or closure for updating, email with the proper information for the event will be considered an official request.
Equipment is anything in the possession of SLS, including the services provided by our employees. This includes, but is not limited to, setting up equipment, DJ services, FOH engineering, and tearing down equipment.
Throughout the year there are times when equipment is in high demand and careful planning is necessary to make every event a success. Thus, all requests for event service or rentals must be made at least 48 hours in advance to the start time of the event or rental. Failure to do so will result in no guarantees for equipment or personnel availability, and SLS cannot be held responsible for loss due to equipment availability. Further, all requests must be processed through our online form system found at sls.mtu.edu under the services tab. In addition, equipment availability and all SLS’ services are limited during Michigan Technological University’s summer term. Inquiries for rentals or services are welcome during this time, but they may not be fulfilled due to the unavailability of SLS’ employees. If this is the case, the client will be notified by their preferred communication method in a timely manner at least 3 business days before the event or at the time of the request.
If your request for service is urgent, you should contact SLS via email or phone to inform us of your request. Note: you will be directed to our online form, but your advance notice will allow us to reserve the equipment you need and give your event priority over ones that fill out a form after you have contacted us.
If an event regularly repeats, we encourage filling out the repeating event section of the request form. If this option is utilized, the form is only required once for the duration of the repeating event, e.g. 5 years. With each repeat of the event, the organizers are required to contact SLS via email with the date, time, and any additional information that may have changed from the previous event; a new form is not required to be completed.
The precedence of a request will be based heavily, if not entirely, on the time when the request was made. Requests made first will be allocated their desired equipment or setup first. If there are conflicting events on the same day, the organization that made the request first will receive their full specification. The second, third, etc organizations will receive equipment or setups that are the closest equivalent to their requested specification. Further, this equivalency is not valid justification for requesting a greater discount for services rendered.
In general, Michigan Tech sponsored events will take priority over outside organizations and events happening on the same day as a University event. SLS is a student organization staffed entirely by students and receives majority of its financial support through the student activity fee. Further, our primary focus is to the Michigan Tech community. However, off campus organizations may rent equipment from SLS for their events, and minor setup or operation may be available upon request. These requests, if made more than 48 hours in advance, will be guaranteed equipment to meet the event’s needs. However, the equipment list given to the client is subject to change to equal or better pieces of equipment if an on campus event needs the particular equipment which was originally on the rental equipment list. Further, if equipment is upgraded due to an on campus event, an increase in price will not occur.
Those found to have broken a rental contract with SLS may be fined up to $1000.00 plus damages or equipment repair cost depending on the severity of the infraction. Late rentals are subject to a 35% per day charge with a $10.00 minimum per day. Any performer or group of performers who intentionally or accidentally damages SLS’ equipment will result in the organization who brought the event to campus being responsible for any and all damages that may occur. These damages may include the cost of repair or the full replacement cost for the equipment which was damaged by the performer or group.
SLS reserves the right to change these terms as deemed appropriate by the management team. These changes may occur without warning, but clients will be notified when these changes directly affect their business with SLS.


Muliple Selection Grid
Edit
Custom Column Header
Name
Position
test3
Office
Age
Start Date
Salary
Single Selection Grid
Row Number
Custom Column Header
Name
Salary


Refresh panel
User name:
[uninitialized]
[uninitialized]
[uninitialized]
Proxies enabled for sequence:
Get active sequence
Create Sequence From Preset
Render w/custom preset
Transcode first project item
Transcode external file
Check SDK Forums
Read API documentation
Explain how extensions get installed
Copy Presets
Toggle proxies in active sequence
Ingest files, create proxies
Render active sequence using AME
Create Sequence
Open different project
Save project
Save project as...
Import Files
Export FCP XML
Poke Anywhere
Open in Source Monitor...
Replace media...
Add sequence markers
Manipulate XMP
New project from sequence
Export sequence frame
Update growing file
Modify project metadata
Add clip markers
Update PAR
AE project item count
Update event panel
Dump XMP from all items
Create subclip
Export sequence to AAF
Set scratch disk path
Add proxy to first projItem
Clear media cache
Export frames for markers
Randomize selection
Mute fun!
Manipulate keyframes
insert or append to active sequence
overwrite at CTI
drag me


Class: Aws::EC2::Types::ServiceDetail
| Relationships & Source Files | |
| Super Chains via Extension / Inclusion / Inheritance | |
|
Class Chain:
self,
Struct
|
|
|
Instance Chain:
self,
::Aws::Structure ,
Struct
|
|
| Inherits: |
Struct
|
| Defined in: | gems/aws-sdk-ec2/lib/aws-sdk-ec2/types.rb |
Overview
Describes a VPC endpoint service.
Constant Summary
Instance Attribute Summary
-
#acceptance_required ⇒ Boolean
rw
Indicates whether VPC endpoint connection requests to the service must be accepted by the service owner.
-
#availability_zones ⇒ Array<String>
rw
The Availability Zones in which the service is available.
-
#base_endpoint_dns_names ⇒ Array<String>
rw
The DNS names for the service.
-
#manages_vpc_endpoints ⇒ Boolean
rw
Indicates whether the service manages its VPC endpoints.
-
#owner ⇒ String
rw
The Amazon Web Services account ID of the service owner.
-
#payer_responsibility ⇒ String
rw
The payer responsibility.
-
#private_dns_name ⇒ String
rw
The private DNS name for the service.
-
#private_dns_name_verification_state ⇒ String
rw
The verification state of the VPC endpoint service.
-
#private_dns_names ⇒ Array<Types::PrivateDnsDetails>
rw
The private DNS names assigned to the VPC endpoint service.
-
#service_id ⇒ String
rw
The ID of the endpoint service.
-
#service_name ⇒ String
rw
The name of the service.
-
#service_type ⇒ Array<Types::ServiceTypeDetail>
rw
The type of service.
-
#supported_ip_address_types ⇒ Array<String>
rw
The supported IP address types.
-
#tags ⇒ Array<Types::Tag>
rw
The tags assigned to the service.
-
#vpc_endpoint_policy_supported ⇒ Boolean
rw
Indicates whether the service supports endpoint policies.
Instance Method Summary
::Aws::Structure
- Included
| #to_hash | Alias for Structure#to_h. |
Instance Attribute Details
#acceptance_required ⇒ Boolean
(rw)
Indicates whether VPC endpoint connection requests to the service must be accepted by the service owner.
# File 'gems/aws-sdk-ec2/lib/aws-sdk-ec2/types.rb', line 57474
class ServiceDetail < Struct.new( :service_name, :service_id, :service_type, :availability_zones, :owner, :base_endpoint_dns_names, :private_dns_name, :private_dns_names, :vpc_endpoint_policy_supported, :acceptance_required, :manages_vpc_endpoints, :payer_responsibility, :, :private_dns_name_verification_state, :supported_ip_address_types) SENSITIVE = [] include Aws::Structure end
#availability_zones ⇒ Array
<String
> (rw)
The Availability Zones in which the service is available.
# File 'gems/aws-sdk-ec2/lib/aws-sdk-ec2/types.rb', line 57474
class ServiceDetail < Struct.new( :service_name, :service_id, :service_type, :availability_zones, :owner, :base_endpoint_dns_names, :private_dns_name, :private_dns_names, :vpc_endpoint_policy_supported, :acceptance_required, :manages_vpc_endpoints, :payer_responsibility, :, :private_dns_name_verification_state, :supported_ip_address_types) SENSITIVE = [] include Aws::Structure end
#base_endpoint_dns_names ⇒ Array
<String
> (rw)
The DNS names for the service.
# File 'gems/aws-sdk-ec2/lib/aws-sdk-ec2/types.rb', line 57474
class ServiceDetail < Struct.new( :service_name, :service_id, :service_type, :availability_zones, :owner, :base_endpoint_dns_names, :private_dns_name, :private_dns_names, :vpc_endpoint_policy_supported, :acceptance_required, :manages_vpc_endpoints, :payer_responsibility, :, :private_dns_name_verification_state, :supported_ip_address_types) SENSITIVE = [] include Aws::Structure end
#manages_vpc_endpoints ⇒ Boolean
(rw)
Indicates whether the service manages its VPC endpoints. Management of the service VPC endpoints using the VPC endpoint API is restricted.
# File 'gems/aws-sdk-ec2/lib/aws-sdk-ec2/types.rb', line 57474
class ServiceDetail < Struct.new( :service_name, :service_id, :service_type, :availability_zones, :owner, :base_endpoint_dns_names, :private_dns_name, :private_dns_names, :vpc_endpoint_policy_supported, :acceptance_required, :manages_vpc_endpoints, :payer_responsibility, :, :private_dns_name_verification_state, :supported_ip_address_types) SENSITIVE = [] include Aws::Structure end
#owner ⇒ String
(rw)
The Amazon Web Services account ID of the service owner.
# File 'gems/aws-sdk-ec2/lib/aws-sdk-ec2/types.rb', line 57474
class ServiceDetail < Struct.new( :service_name, :service_id, :service_type, :availability_zones, :owner, :base_endpoint_dns_names, :private_dns_name, :private_dns_names, :vpc_endpoint_policy_supported, :acceptance_required, :manages_vpc_endpoints, :payer_responsibility, :, :private_dns_name_verification_state, :supported_ip_address_types) SENSITIVE = [] include Aws::Structure end
#payer_responsibility ⇒ String
(rw)
The payer responsibility.
# File 'gems/aws-sdk-ec2/lib/aws-sdk-ec2/types.rb', line 57474
class ServiceDetail < Struct.new( :service_name, :service_id, :service_type, :availability_zones, :owner, :base_endpoint_dns_names, :private_dns_name, :private_dns_names, :vpc_endpoint_policy_supported, :acceptance_required, :manages_vpc_endpoints, :payer_responsibility, :, :private_dns_name_verification_state, :supported_ip_address_types) SENSITIVE = [] include Aws::Structure end
#private_dns_name ⇒ String
(rw)
The private DNS name for the service.
# File 'gems/aws-sdk-ec2/lib/aws-sdk-ec2/types.rb', line 57474
class ServiceDetail < Struct.new( :service_name, :service_id, :service_type, :availability_zones, :owner, :base_endpoint_dns_names, :private_dns_name, :private_dns_names, :vpc_endpoint_policy_supported, :acceptance_required, :manages_vpc_endpoints, :payer_responsibility, :, :private_dns_name_verification_state, :supported_ip_address_types) SENSITIVE = [] include Aws::Structure end
#private_dns_name_verification_state ⇒ String
(rw)
The verification state of the VPC endpoint service.
Consumers of the endpoint service cannot use the private name when
the state is not verified
.
# File 'gems/aws-sdk-ec2/lib/aws-sdk-ec2/types.rb', line 57474
class ServiceDetail < Struct.new( :service_name, :service_id, :service_type, :availability_zones, :owner, :base_endpoint_dns_names, :private_dns_name, :private_dns_names, :vpc_endpoint_policy_supported, :acceptance_required, :manages_vpc_endpoints, :payer_responsibility, :, :private_dns_name_verification_state, :supported_ip_address_types) SENSITIVE = [] include Aws::Structure end
#private_dns_names ⇒ Array
<Types::PrivateDnsDetails> (rw)
The private DNS names assigned to the VPC endpoint service.
# File 'gems/aws-sdk-ec2/lib/aws-sdk-ec2/types.rb', line 57474
class ServiceDetail < Struct.new( :service_name, :service_id, :service_type, :availability_zones, :owner, :base_endpoint_dns_names, :private_dns_name, :private_dns_names, :vpc_endpoint_policy_supported, :acceptance_required, :manages_vpc_endpoints, :payer_responsibility, :, :private_dns_name_verification_state, :supported_ip_address_types) SENSITIVE = [] include Aws::Structure end
#service_id ⇒ String
(rw)
The ID of the endpoint service.
# File 'gems/aws-sdk-ec2/lib/aws-sdk-ec2/types.rb', line 57474
class ServiceDetail < Struct.new( :service_name, :service_id, :service_type, :availability_zones, :owner, :base_endpoint_dns_names, :private_dns_name, :private_dns_names, :vpc_endpoint_policy_supported, :acceptance_required, :manages_vpc_endpoints, :payer_responsibility, :, :private_dns_name_verification_state, :supported_ip_address_types) SENSITIVE = [] include Aws::Structure end
#service_name ⇒ String
(rw)
The name of the service.
# File 'gems/aws-sdk-ec2/lib/aws-sdk-ec2/types.rb', line 57474
class ServiceDetail < Struct.new( :service_name, :service_id, :service_type, :availability_zones, :owner, :base_endpoint_dns_names, :private_dns_name, :private_dns_names, :vpc_endpoint_policy_supported, :acceptance_required, :manages_vpc_endpoints, :payer_responsibility, :, :private_dns_name_verification_state, :supported_ip_address_types) SENSITIVE = [] include Aws::Structure end
#service_type ⇒ Array
<Types::ServiceTypeDetail> (rw)
The type of service.
# File 'gems/aws-sdk-ec2/lib/aws-sdk-ec2/types.rb', line 57474
class ServiceDetail < Struct.new( :service_name, :service_id, :service_type, :availability_zones, :owner, :base_endpoint_dns_names, :private_dns_name, :private_dns_names, :vpc_endpoint_policy_supported, :acceptance_required, :manages_vpc_endpoints, :payer_responsibility, :, :private_dns_name_verification_state, :supported_ip_address_types) SENSITIVE = [] include Aws::Structure end
#supported_ip_address_types ⇒ Array
<String
> (rw)
The supported IP address types.
# File 'gems/aws-sdk-ec2/lib/aws-sdk-ec2/types.rb', line 57474
class ServiceDetail < Struct.new( :service_name, :service_id, :service_type, :availability_zones, :owner, :base_endpoint_dns_names, :private_dns_name, :private_dns_names, :vpc_endpoint_policy_supported, :acceptance_required, :manages_vpc_endpoints, :payer_responsibility, :, :private_dns_name_verification_state, :supported_ip_address_types) SENSITIVE = [] include Aws::Structure end
#tags ⇒ Array
<Types::Tag> (rw)
The tags assigned to the service.
# File 'gems/aws-sdk-ec2/lib/aws-sdk-ec2/types.rb', line 57474
class ServiceDetail < Struct.new( :service_name, :service_id, :service_type, :availability_zones, :owner, :base_endpoint_dns_names, :private_dns_name, :private_dns_names, :vpc_endpoint_policy_supported, :acceptance_required, :manages_vpc_endpoints, :payer_responsibility, :, :private_dns_name_verification_state, :supported_ip_address_types) SENSITIVE = [] include Aws::Structure end
#vpc_endpoint_policy_supported ⇒ Boolean
(rw)
Indicates whether the service supports endpoint policies.
# File 'gems/aws-sdk-ec2/lib/aws-sdk-ec2/types.rb', line 57474
class ServiceDetail < Struct.new( :service_name, :service_id, :service_type, :availability_zones, :owner, :base_endpoint_dns_names, :private_dns_name, :private_dns_names, :vpc_endpoint_policy_supported, :acceptance_required, :manages_vpc_endpoints, :payer_responsibility, :, :private_dns_name_verification_state, :supported_ip_address_types) SENSITIVE = [] include Aws::Structure end