Buffer's Organizational Network
Introduction
Some teams perform better than other teams.
A lot of people research why that is, and what high performing teams have in common. Harvard Business Review does. MIT and CMU do. Google does. The New York Times does. Even venture capitalists do.
So what’s the consensus? High performing teams share two common characteristics.
- Team members have higher than average levels of empathy and social awareness.
- Team members communicate frequently and informally.
And it’s pretty much just those two things. Some researchers went as far as getting people to wear sociometers that measured all of their communication with and proximity to other team members. They ultimately found that “patterns of communication [are] the most important predictor of a team’s success. Not only that, but they are as significant as all the other factors — individual intelligence, personality, skill, and the substance of discussions — combined.”
For most teams, it’s hard to get a handle of one’s own “patterns of communication” and what that looks like, let alone whether it’s good or bad. Today, we’ll use chat data from Slack to look at Buffer’s own patterns of communication to identify what is or isn’t going well.
Building a Network
In order to analyze the patterns efficiently, we’re going to create an organizational network, which will provide us a framework for thinking about interpersonal interactions. An organizational network is a data structure that describes which team members are communicating with which other team members and allows us to identify large scale patterns from small scale interactions.
I’ve looked at a lot of different organizational networks. I used to work with a network science consultancy that specialized solely on being able to create these networks and answer these questions. For most companies, that process usually involved hiring a consultancy, creating surveys and bullying everone into completing them, and then running the analysis. If you wanted the same results six months later, you had to repeat the whole process again.
Luckily for us, we can get the data we need directly from Slack, and we’ll start by pulling message metadata from public Slack channels. For this analysis, we’re not going to focus solely on data from public channels. ?By excluding data from video chats (and arguably meetings), we can focus our exploration on informal communication. We’ll save the analysis on direct messages and private groups for another day.?
Timeline
Here’s a timeline of all messages sent on Buffer’s public Slack channels. The black line shows the raw daily message counts, while the blue line applies a smoother over the raw counts to show a more discernible trend.
There are a couple of things that are immediately apparent from the timeline. First, Buffer employees chat a lot. During weekdays, Buffer employees send an average of over 2,000 per day, which doesn’t include messages sent over private channels, direct messages, reactions to messages, or video conferences.
The second important note on the timeline is the evidence of healthy work-life balance, at least in terms of weekend work. On weekdays, Buffer employees send an average of over 2,000 messages on public channels. On weekends, they send on average less than 100 messages. That is, Buffer employees communicate over 20x less on the weekends.
A Distributed Team
It’s important to not that, by necessity, Buffer employees need chat.
What that’s resulted in, in Buffer’s case, is a team that is much more connected than many teams of their size with a physical presence.
Let’s illustrate why by first defining a term in network science called centrality. We’ll take a subset of four Buffer employees — Åsa, Boris, Courtney and Darcy — and assume they have the following (fictitious) organizational network. Two members will have a connection if there’s a 1 in their cell, and a zero otherwise.
| Åsa | Boris | Courtney | Darcy | |
|---|---|---|---|---|
| Åsa | 0 | 0 | 1 | 0 |
| Boris | 0 | 0 | 1 | 1 |
| Courtney | 1 | 1 | 0 | 1 |
| Darcy | 0 | 1 | 1 | 0 |
Let’s say Åsa needs something from Darcy, but doesn’t usually communicate with Darcy, but she does communicate frequently with Courtney and relays the message through her — Åsa → Courtney → Darcy. Likewise, Boris shares information he knows to those with whom he works closely. If Åsa needed information from Boris, it’d likely go through Courtney first — Boris → Courtney → Åsa.
In this example we see that Courtney’s position in this network makes her very important, or central. Team members with high centrality help broker a lot of information to other team members, usually moreso than is usually noticeable through interpersonal dynamics. In a lot of networks, like Hillary Clinton’s State Department, there are a couple of members who wield a large percentage of the centrality — if they were removed from the network, general connectivity would severly suffer.
In Buffer’s case, if you were to remove given employee from the team, overall centrality only decreases by at most 1.5%. Each member of the Buffer team is contributing to the Buffer network — regardless of team, gender, race, hierarchy or tenure.
Collaboration
While it’s a great thing for teams to be communicating frequently and informally, it’s also important that communication be directed in ways that maintain collaboration.
There are two fundamental ways that multiple teams in an organization collaborate. When members on a given team chat amongst themselves, we’ll call that energy. When they chat with members of other teams, we’ll call that exploration. Usually, it’s important to have a healthy balance of both.
Below we can see how different teams balance their energy and exploration. The grey dot below each team reflects their internal energy, while the blue arcs show the degree of their exploration with other teams.
Let’s note that the size of each dot is not a reflection of team size, but of team energy. We can see that the Happiness team is communicating very frequently amongst themselves, and have a less active role in communicating with some of the other teams, like the Data team or the Marketing team.
On the other hand, the Caretaker team (which consist of founders and other top leaders), have an average inner-team energy, but has strategic above-average exploration with teams, like Product and Engineering. Visualizing the balance between energy and exploration can help identify if certain teams could benefit by increasing or decreasing communication with other teams.
Conclusions
We’ve taken a high-level look at some of Buffer’s chat data to understand what patterns of communication emerge. We’ve taken a look at communication frequency, work-life balance, effects of a global and distributed team, centrality and collaboration. These are just some of the points to consider when evaluating how current patterns of communication enable success. Other points of consideration could include incorporating ticket or project management data to contextualize productivity data or even using sentiment analysis and theme extraction over public messages to identify topics that drive collaboration.
What are your thoughts? What would your organizational network reveal about your organization? Do the modes and patterns of your team’s communication enable or hinder your success?


Before Change
RemoteCommandError: If there was a problem copying the file.
src_spec, dest_spec = file_path, "%s:%s" % (self.name, remote_path)
if not copy_to:
src_spec, dest_spec = dest_spec, src_spec
cmd = [FLAGS.kubectl, "--kubeconfig=%s" % FLAGS.kubeconfig,
"cp", src_spec, dest_spec]
stdout, stderr, retcode = vm_util.IssueCommand(cmd)
if retcode:
After Change
Raises:
RemoteCommandError: If there was a problem copying the file.
if copy_to:
src_spec, dest_spec = file_path, "%s:" % (self.name,)
else:
remote_path, _ = self.RemoteCommand("readlink -f %s" % remote_path)
remote_path = remote_path.strip()
src_spec, dest_spec = "%s:%s" % (self.name, remote_path), file_path
cmd = [FLAGS.kubectl, "--kubeconfig=%s" % FLAGS.kubeconfig,
"cp", src_spec, dest_spec]
stdout, stderr, retcode = vm_util.IssueCommand(cmd)
if retcode:


CHILL FACTOR A film review by Steve Rhodes Copyright 1999 Steve Rhodes RATING (0 TO ****): * 1/2
Like a cook who uses only leftovers, Hollywood, once its finds a hit formula, keeps looking for ways to reblend the same basic ingredients. When they've exhausted the sequel approach, they look for variations on the same recipe.
SPEED was a gigantic hit, so how about movie in which the threat is a chemical weapon that goes lethal above 50 degrees? Blend this using the tried and true buddy formula. Sprinkle in lots of action and explosions. Voilą, a hit. Or so Warner Brothers hopes in Hugh Johnson's CHILL FACTOR starring Cuba Gooding, Jr. and Skeet Ulrich.
As the story opens, civilian scientist Dr. Richard Long (David Paymer) is going to be making a safe test of a new deforestation bomb. At the last minute he decides to turbo charge the chemical cocktail. When it comes time to start the test, the computer simulation of his tweak isn't completed yet, but the milquetoast doctor manages somehow to bully the tough Major Andrew Brynner (Peter Firth) into going ahead anyway with the experiment, even if it puts his troops in jeopardy. When it goes horribly wrong, Brynner is sent to prison for 10 years for dereliction of duty while the scientist, who feels really terrible about killing all of those soldiers, keeps on working for the government.
The body of the movie happens 10 years later after Brynner is out of prison. He shows up to steal the substance -- it's called Elvis so the script can make lots of jokes -- from Dr. Long.
Drew Gitlin and Mike Cheda's hackneyed script is likely to draw groans as it constantly insults the audience's intelligence. Dr. Long, an accomplished fly fisherman, uses his hobby for giving lessons in life to his friend, Tim Mason (Ulrich). "Power without caution is death," Dr. Long lectures Mason as they fish. Huh.
The director's cliched staging includes bathing the bad guys in constant heavy dark shadows and the good guys in bright lights. When Brynner greets his sleek, covert troops at the beginning of their mission to steal Elvis, he has but one order. "We all know what we have to do, so let's do it," he says in a bit of inspiration that has them locking and loading.
"If the road to hell is paved with good intentions, we know you'll find your way there quickly," Brynner sneers at the doctor when he sees him for the first time after prison. "It's not such a bad place. I know. I was there."
The movie has more than enough logical holes for a whole fleet of ice cream trucks to drive through, which is what Mason and Arlo (Gooding) use to get Elvis away. Although Brynner and Co. have a host of high tech weaponry, fast motorbikes and sleek cars, they have trouble keeping up with a 30-year-old ice cream truck. Maybe the scene in which they installed afterburners on the truck got left on the cutting room floor.
Less than a minute after watching the ice cream truck go past, riders on 2 super fast bikes go after it. Hours later they will finally catch up, but Mason, a soda jerk, proves to have fighting skills superior to those of these military covert ops types. The director loves this part as it provides lots of opportunities for blowing up things like tanker trucks and creating demolition derby style accidents.
Brynner's people, besides being surprisingly bad shots, make one bad decision after another. And time and again, the old truck outruns their clearly faster vehicles.
Some of the stunts are fun. Watching Mason and Arlo, like BUTCH CASSIDY AND THE SUNDANCE KID, jump thousands of feet to the river below is exhilarating. In CHILL FACTOR they put them in a metal boat for the jump to slightly disguise the rip-off of another picture.
As the chase is on, the villains are on-line to their potential customers around the world, holding a $100,000,000 plus auction. Ah, the power of the Internet.
Poor Cuba Gooding, Jr., as he did in INSTINCT earlier this summer, plays one half of a strong two person lead in an otherwise preposterous and ridiculous movie. As Mason and Arlo yell and bicker with each other, there are a few nice laughs.
"Quit limping around like that," an embarrassed Arlo tells Mason. "Excuse me, I've got a bullet in my leg," Mason barks back. Mildly humorous comedy, however, cannot makeup for such a ludicrous rehash of a movie.
CHILL FACTOR runs 1:42. It is rated R for violence and language and would be fine for teenagers who don't have squeamish stomachs.
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--- title: Mapping Walmart’s Growth author: Sean Angiolillo date: '2018-06-21' slug: mapping-walmart-s-growth categories: - R tags: - gganimate header: caption: '' image: 'headers/walmart.png' summary: "Recreating a D3 visualization of Walmart's US growth in R with gganimate" ---
Mike Bostock recently posted a D3 visualization of the growth of Walmart locations in the US. I wanted to recreate it in R, animating it with the gganimate
package, and do a brief investigation.
The original D3 visualization can be found here, and the original data he used comes from here.
library(tidyverse)
data <- "https://gist.githubusercontent.com/mbostock/4330486/raw/fe47cd0f43281cae3283a5b397f8f0118262bf55/walmart.tsv"
walmart <- read_csv2(data) %>%
separate(col = "0\t1\tdate", into = c("lon", "lat", "estab"), sep = "\t") %>%
mutate(
lon = as.numeric(lon),
lat = as.numeric(lat),
estab = lubridate::mdy(estab)
) %>%
arrange(estab) %>%
rowid_to_column("number")
After reading in the data, we can make a first plot of all locations with the correct map projection.
library(maps)
library(ggthemes)
states <- map_data("state")
ggplot() +
geom_polygon(data = states, aes(x = long, y = lat, group = group),
fill = "grey90", color = "white") +
coord_map("albers", lat0 = 39, lat1 = 45) +
geom_point(data = walmart, aes(x = lon, y = lat),
size = 1.5, alpha = 0.8, shape = 1) +
theme_map() +
ggtitle("Walmart's Growth")
Now that we have a plot that looks quite similar to the final graphic, let’s animate it using the gganimate
package. To plot current points in the animation in red, I just plotted the data twice, in one case setting the aesthetic cumulative = TRUE
and in the other cumulative = FALSE
. We can save the output as a gif.
library(animation)
library(gganimate)
wal_ani <- ggplot() +
geom_polygon(data = states, aes(x = long, y = lat, group = group),
fill = "grey90", color = "white") +
coord_map("albers", lat0 = 39, lat1 = 45) +
theme_map() +
# plot first location
geom_point(data = filter(walmart, number == 1),
aes(x = lon, y = lat), color = "blue", size = 1.5) +
# plot all others
geom_point(data = filter(walmart, number != 1),
aes(x = lon, y = lat, frame = estab, cumulative = TRUE),
size = 1.5, alpha = 0.8, shape = 1) +
# plot red point when added
geom_point(data = filter(walmart, number != 1),
aes(x = lon, y = lat, frame = estab, cumulative = FALSE),
size = 1.5, color = "red") +
ggtitle("Walmart's Growth")
ani.options(ani.width = 1280, ani.height = 720, interval = 0.1)
gganimate(wal_ani, filename = "walmart.gif")
It is interesting to note the strong clustering of locations near the original establishment in Arkansas. Rather than spreading geographically wide, the approach to expansion definitely seems to favor a more gradual regional growth expanding from the origin.
A downside of this style of animation is that it can be difficult to discern the pace of the growth. As the plot below shows, it is hardly linear.
ggplot(walmart, aes(x = estab, y = number)) +
geom_line() +
scale_y_continuous("No. of Locations", labels = scales::comma) +
scale_x_date("") +
ggtitle("Growth of Walmart Locations Over Time")
I can try to account for this in the animation by rounding dates to the nearest month and adding any empty months to the dataset.
library(lubridate)
walmart <- walmart %>%
mutate(rdate = round_date(estab, unit = "month"))
# join in empty months
walmart_mon <- walmart %>%
right_join(
as_tibble(seq(min(walmart$rdate), max(walmart$rdate), by = 'month')),
by = c("rdate" = "value")
) %>%
mutate(
lon = ifelse(is.na(lon), 0, lon),
lat = ifelse(is.na(lat), 0, lat)
)
Now the animation below shows monthly growth, which gives a slightly better impression of the time dimension of the growth.
wal_ani_mon <- ggplot() +
geom_polygon(data = states, aes(x = long, y = lat, group = group),
fill = "grey90", color = "white") +
coord_map("albers", lat0 = 39, lat1 = 45) +
theme_map() +
# plot first location
geom_point(data = filter(walmart_mon, number == 1),
aes(x = lon, y = lat), color = "blue", size = 1.5) +
# plot all others
geom_point(data = filter(walmart_mon, number != 1),
aes(x = lon, y = lat, frame = rdate, cumulative = TRUE),
size = 1.5, alpha = 0.8, shape = 1) +
# plot red point when added
geom_point(data = filter(walmart_mon, number != 1),
aes(x = lon, y = lat, frame = rdate, cumulative = FALSE),
size = 1.5, color = "red") +
ggtitle("Walmart's Monthly Growth")
ani.options(ani.width = 1280, ani.height = 720, interval = 0.1)
gganimate(wal_ani_mon, filename = "walmart_mon.gif")
In the monthly animation, you will notice one especially large flash where a substantial number of locations opened in a single month. In the table below, we can see the months with the greatest number of new locations opening.
Did 88 new Walmarts open in July 1981 alone? If we plot Walmart’s growth up to this point, and mark these locations in red, we can see that this month would have been a really big month for the company, particularly making inroads east of Arkansas.
ggplot() +
geom_polygon(data = states, aes(x = long, y = lat, group = group),
fill = "grey90", color = "white") +
coord_map("albers", lat0 = 39, lat1 = 45) +
geom_point(data = filter(walmart, rdate < as.Date("1981-07-01")),
aes(x = lon, y = lat),
size = 1.5, alpha = 0.8, shape = 1) +
geom_point(data = filter(walmart, rdate == as.Date("1981-07-01")),
aes(x = lon, y = lat),
size = 1.5, color = "red", shape = 2) +
theme_map() +
labs(title = "Walmart's Monthly Growth up to July 1981",
caption = "July 1981 highlighted in red")
However, more realistically, this is likely an error in the data. As seen in the plot below, it is such a huge outlier (more than double the next highest month) that a simple error seems to be the most likely explanation.
mon_counts <- walmart %>%
count(rdate)
mon_counts %>%
ggplot(aes(x = rdate, y = n)) +
geom_col() +
scale_y_continuous("No. of Locations") +
scale_x_date("", breaks = seq(as.Date("1965-01-01"), as.Date("2005-01-01"), by = "5 years"), labels = scales::date_format("%Y")) +
ggrepel::geom_label_repel(
data = filter(mon_counts, rdate == as.Date("1981-07-01")),
aes(label = format(rdate, "%b %Y"))
) +
ggtitle("Walmart Locations Opened per Month")


Harry Potter - Hogwarts Magic Monitoring
Do you wanna read about a character ? Id from 0-64
Display Character By Id
Display Character By Id Async
Search term in the name or bio
Monitoring magic


About this project
Thanks for being interested in my third year project.
The aim of the project is to enhance travel experience by sharing the travel routes with your friends and planning it based on the experiences of your friends.
After logging in to the application, you will be able to import your photos, statuses and check-ins from Facebook. Based on their location information, a route will be generated and you can click on the markers to see the photos taken at that place, as well as statuses and check-ins.
You can also see the routes of your friends, and a heatmap showing which places are popular among your friends.
Evaluation of the project
The evaluation of the project consists of two parts. First, please fill the questionnaire one about how you share your travel experiences and make your travel plans. Second, take part in the trial, where you will be using the application and other existing applications and tell me the experience of using them by filling out questionnaire two. It will take 10 mins to fill questionnaire one and 15 mins to do the trial.
Please make sure that you have read the information sheet and signed the consent form as it is required by the University of Southampton. If it is possible, please email a photocopy of the signed consent form to me<EMAIL_ADDRESS>Thanks for your time, if you need any more information or have any concern, please do not hesitate to contact me. Donglin Pu
Note: if you are using the testing account, click here to access the account detail.


|
HomeSDK |
Public Member Functions | |
| UpgradeStatusEnum (int type) | |
| int | getType () |
| void | setType (int type) |
Static Public Member Functions | |
| static UpgradeStatusEnum | to (int type) |
Public Attributes | |
| READY =(1) | |
| hardware prepared More... | |
| UPDATING =(2) | |
| upgrading More... | |
| UPDATED =(3) | |
| upgrade finished More... | |
| ERROR =(4) | |
| upgrade error More... | |
| TIMEOUT =(7) | |
| upgrade timeout More... | |
| com.tuya.smart.home.sdk.callback.ITuyaDeviceUpgradeStatusCallback.UpgradeStatusEnum.UpgradeStatusEnum | ( | int | type | ) |
| int com.tuya.smart.home.sdk.callback.ITuyaDeviceUpgradeStatusCallback.UpgradeStatusEnum.getType | ( | ) |
| void com.tuya.smart.home.sdk.callback.ITuyaDeviceUpgradeStatusCallback.UpgradeStatusEnum.setType | ( | int | type | ) |
|
static |
| com.tuya.smart.home.sdk.callback.ITuyaDeviceUpgradeStatusCallback.UpgradeStatusEnum.ERROR =(4) |
upgrade error
| com.tuya.smart.home.sdk.callback.ITuyaDeviceUpgradeStatusCallback.UpgradeStatusEnum.READY =(1) |
hardware prepared
| com.tuya.smart.home.sdk.callback.ITuyaDeviceUpgradeStatusCallback.UpgradeStatusEnum.TIMEOUT =(7) |
upgrade timeout
| com.tuya.smart.home.sdk.callback.ITuyaDeviceUpgradeStatusCallback.UpgradeStatusEnum.UPDATED =(3) |
upgrade finished
| com.tuya.smart.home.sdk.callback.ITuyaDeviceUpgradeStatusCallback.UpgradeStatusEnum.UPDATING =(2) |
upgrading


Coverage analysis for a function (uses _hotshot). Plus de détails...
Fonctions membres publiques | |
| def | __init__ |
| Creates a profiler for a function. Plus de détails... | |
| def | __call__ |
| Profile a singe call to the function. Plus de détails... | |
| def | atexit |
| Stop profiling and print profile information to sys.stderr. Plus de détails... | |
Attributs publics | |
| fn | |
| logfilename | |
| profiler | |
| ncalls | |
Coverage analysis for a function (uses _hotshot).
HotShot coverage is reportedly faster than trace.py, but it appears to have problems with exceptions; also line counts in coverage reports are generally lower from line counts produced by TraceFuncCoverage. Is this my bug, or is it a problem with _hotshot?
| def src.util.profilehooks.HotShotFuncCoverage.__init__ | ( | self, | |
| fn | |||
| ) |
Creates a profiler for a function.
Every profiler has its own log file (the name of which is derived from the function name).
HotShotFuncCoverage registers an atexit handler that prints profiling information to sys.stderr when the program terminates.
The log file is not removed and remains there to clutter the current working directory.
| def src.util.profilehooks.HotShotFuncCoverage.__call__ | ( | self, | |
| args, | |||
| kw | |||
| ) |
Profile a singe call to the function.
| def src.util.profilehooks.HotShotFuncCoverage.atexit | ( | self) |
Stop profiling and print profile information to sys.stderr.
This function is registered as an atexit hook.
| src.util.profilehooks.HotShotFuncCoverage.fn |
| src.util.profilehooks.HotShotFuncCoverage.logfilename |
| src.util.profilehooks.HotShotFuncCoverage.ncalls |
| src.util.profilehooks.HotShotFuncCoverage.profiler |


ListBox¶
Description¶
Displays a list of choices, represented by?ListItem?objects.
When you create the object, you specify whether it allows the user to select only one or multiple items. If a list contains more items than can be displayed in the available area, a scrollbar may appear that allows the user to scroll through all the list items.You can specify the items on creation of the list object, or afterward using the list object?s?add()?method. You can remove items programmatically with the list object?s?remove()?and?removeAll()?methods. You can create a list box with multiple columns; in this case, each row is a selectable choice, and each?ListItem?represents one row.
Properties¶
| active readonly | True if this element is active. |
| alignment readonly | The alignment style for this element. If defined, this value overrides the alignChildren setting for the parent container. |
| bounds readonly | The boundaries of the element, in parent-relative coordinates. |
| children readonly | An array of child?ListItem?elements. |
| columns readonly | For a multi-column list box, the column properties. |
| enabled readonly | True if this element is enabled. |
| graphics readonly | The graphics object that can be used to customize the element’s appearance, in response to the?onDraw()?event. |
| helpTip readonly | The help text that is displayed when the mouse hovers over the element. |
| indent readonly | The number of pixels to indent the element during automatic layout. |
| itemSize readonly | The width and height in pixels of each item in the list. |
| items readonly | The array of choice items displayed in the list. |
| location readonly | The upper left corner of this element relative to its parent. |
| maximumSize readonly | The maximum height and width to which the element can be resized. |
| minimumSize readonly | The minimum height and width to which the element can be resized. |
| parent readonly | The parent element. |
| preferredSize readonly | The preferred size, used by layout managers to determine the best size for each element. |
| properties readonly | An object that contains one or more creation properties of the control (properties used only when the element is created). |
| selection readonly | The currently selected item for a single-selection list, or an array of items for current selection in a multi-selection list. |
| shortcutKey readonly | The key sequence that invokes the?onShortcutKey()?callback for this element (in Windows only). |
| size readonly | The current dimensions of this element. |
| type readonly | The element type; “listbox”. |
| visible readonly | True if this element is shown, false if it is hidden. |
| window readonly | The window that this element belongs to. |
| windowBounds readonly | The bounds of this element relative to the top-level parent window. |
Methods¶
| add readonly | Adds an item to the choices in this list. |
| addEventListener readonly | Registers an event handler for a particular type of event occuring in this element. |
| dispatchEvent readonly | Simulates the occurrence of an event in this target. |
| find readonly | Retrieves an item object from the list that has a given text label. |
| hide readonly | Hides this element. |
| notify readonly | Sends a notification message, simulating the specified user interaction event. |
| remove readonly | Removes a child item from the list. |
| removeAll readonly | Removes all child items from the list. |
| removeEventListener readonly | Unregisters an event handler for a particular type of event occuring in this element. |
| show readonly | Shows this element. |
Events¶
| onActivate readonly | An event-handler callback function, called when the element acquires the keyboard focus. |
| onChange readonly | An event-handler callback function, called when the content of the element has been changed |
| onDeactivate readonly | An event-handler callback function, called when the element loses the keyboard focus. |
| onDoubleClick readonly | An event-handler callback function, called when an item in the listbox is double-clicked |
| onDraw readonly | An event-handler callback function, called when the window is about to be drawn. |
| onShortcutKey readonly | An event-handler callback function, called when the element’s?shortcutKey?sequence is typed in the active window. |


WERT plus TMZ WBRT Risk ratio Risk ratio Study or Subgroup Events Total Events Total Weight _M.H, Random, 95% Cl M.H, Random, 95% Cl Chua D (2010) 16 4? 9 48 89% 1.70 (0.83, 3.50} 7 Dou-Dou Li (2048) g 18 6 18 7.4% 4,80 (0.78, 4.32} om Fei Teng (2017) 22 28 6 25 9.0% 3.53 1.72, 7.23} —_—— Geng Li (2017) 8 39 10 39-80% 0.80 (0.35, 1.81] — Hassler MR (2013) 12 22 6 13 941% 4.18 (0.59, 2.38} — Ji-Yong Peng (2008) 4 18 3 2 4.3% 4.47 (0.98, 6.78} nn Jia-Yin Xie (2007) 24 26 2 26 «6.9% 8.00 (2.76, 23.20} —__— Lei Shi (2014) 7 43 4 41 54% 1.87 (0.53, 5.28} — Shi-vie Zhao (2016} 5 30 6 30 59% 0.83 (0.28, 2.44} —_— 1 Tian-Lu Gu (2048) 13 52 1 50) 91% 1.14 (0.56, 2.29} —T—_ Wei Cheng (2013) 20 30 16 26 12.7% 4,08 (0.73, 1.61} > Xia Deng (2017) 66 128 59 109 14.4% 0.96 (0.74, 1.20} > Total (95% Ci) 480 445 100.0% 4.45 [1.04, 2.02] > Total events 206 138 Heterogeneity: Tau? = 0.18; Chi#= 30.42, df= 11 (P= 0.001},/*= 64% To HH Test for overall effect: Z= 2.21 (P= 0.03) 4.08 0.2 1 5 20 Favours [WBRT plus TMZ] Favours (WBRT)


Products Comparison Table
Models
- Price
- Customer Rating
- Resolution
- Screen Type
- Display Size
- Refresh Rate
- Model Year
- Tuner Technology
- Ethernet Input
- USB Input
- Scart Input
-
Sumsung Series 6 J6300
- $600
- 5/5
- 1080p
- LED
- 47.6 inches
- 800Hz
- 2015
- mpeg4
- 1 Side
- 3 Port
- 1 Rear
-
Sumsung Series 6 J6300
- $600
- 5/5
- 1080p
- LED
- 47.6 inches
- 800Hz
- 2015
- mpeg4
- 1 Side
- 3 Port
- 1 Rear
-
Sumsung Series 6 J6300
- $600
- 5/5
- 1080p
- LED
- 47.6 inches
- 800Hz
- 2015
- mpeg4
- 1 Side
- 3 Port
- 1 Rear
-
Sumsung Series 6 J6300
- $600
- 5/5
- 1080p
- LED
- 47.6 inches
- 800Hz
- 2015
- mpeg4
- 1 Side
- 3 Port
- 1 Rear
-
Sumsung Series 6 J6300
- $600
- 5/5
- 1080p
- LED
- 47.6 inches
- 800Hz
- 2015
- mpeg4
- 1 Side
- 3 Port
- 1 Rear
-
Sumsung Series 6 J6300
- $600
- 5/5
- 1080p
- LED
- 47.6 inches
- 800Hz
- 2015
- mpeg4
- 1 Side
- 3 Port
- 1 Rear
-
Sumsung Series 6 J6300
- $600
- 5/5
- 1080p
- LED
- 47.6 inches
- 800Hz
- 2015
- mpeg4
- 1 Side
- 3 Port
- 1 Rear
-
Sumsung Series 6 J6300
- $600
- 5/5
- 1080p
- LED
- 47.6 inches
- 800Hz
- 2015
- mpeg4
- 1 Side
- 3 Port
- 1 Rear


skydy.configuration package¶
Submodules¶
skydy.configuration.BaseSymbols module¶
- class skydy.configuration.BaseSymbols.BaseSymbols(name, identifier, is_coords=False)[source]¶
Bases:
object
- __init__(name, identifier, is_coords=False)[source]¶
The base object for this whole package to function. It defines the sympy symbols that are used in the modelling process, whether it be translational (x,y,z), rotational (theta_x, theta_y, theta_z) coordinates, positions within a reference frame, or the direction and magnitude of forces and torques, all the symbols are generated by various combinations of this object.
Later, we have specific object thats handle these scenarios for us, but all inherit from this class. s such, we never explicility use this class
- Parameters
name (int or str) – the name for the symbols. This will form the superscript, i.e., the body the symbols refer to.
identifier (int or str) – gives meaning to the symbol set as it identifies what or where the symbol set refer to. For a set of coordinates, this is “G”, the centre of mass. For a force, torque or length it is F, tau and l respectively.
is_coords (int or str) – defines if a sextuple is defines (representing the 6 coordinates) of a body, or a triple (representing the three Cartesian coordinates).
Example
A coordinate representation of body named “1”, at its centre of mass, G.
>>> from skydy.configuration import BaseSymbols >>> body_name = "1" >>> body_loc = "G" >>> body_symbols = BaseSymbols(body_name, body_loc, True)
A vector representation of force named “2”
>>> force_name = "2" >>> force_id = "F" >>> force_symbols = BaseSymbols(force_name, force_id)
A vector representation of distance, or dimension for a body named “1”
>>> dim_name = "1" >>> dim_id = "l" >>> dim_symbols = BaseSymbols(dim_name, dim_id)
- assign_values(values, idx=- 1)[source]¶
Assign value(s) to a symbol. By defualt, the value is instantiated as 1.
- Parameters
values (array-like object, int or float) – the values we want to assign. This must be an array-like object of the len(self.__symbols), or an integer. If an integer is provided, a valid index must be provided.
idx (int) – for an int or float, the index to assign the value to. This must be a valid index in 0 to len(self.__symbols)-1.
- Returns
None
Example
>>> from skydy.configuration import BaseSymbols >>> base_symbols = BaseSymbols("1", "G") >>> # Assign all values >>> base_symbols.assign_values([10, 20, 30, 40, 50, 60]) >>> # Assign just one value >>> base_symbols.assign_values(24, 4)
- sym_to_np(sym_matrix)[source]¶
Convert a numeric sympy matrix, i.e., after substituting values, to a numpy matrix. We pass in the sympy matrix for flexbility down the line as to what we can and cannot convert.
- Parameters
sym_matrix (sympy.matrices.dense.MutableDenseMatrix) – a sympy matrix, with values substituted in.
- Returns
a numpy matrix of same dimensions of the input matrix.
- Return type
np_matrix (numpy.ndarray)
Example
>>> from skydy.configuration import BaseSymbols >>> base_symbols = BaseSymbols("1", "G") >>> # Assign all values >>> base_symbols.assign_values([10, 20, 30, 40, 50, 60]) >>> # Crete a matrix of symbols >>> sym_mat = base_symbols.symbols() >>> # Substitute the values in >>> sym_mat = sym_mat.subs(base_symbols.as_dict()) >>> # Convert to an numpy.ndarray. >>> np_mat = base_symbols.sym_to_np(sym_mat)
- class skydy.configuration.BaseSymbols.CoordinateSymbols(name)[source]¶
Bases:
skydy.configuration.BaseSymbols.BaseSymbols
- __init__(name)[source]¶
A set of coordinate symbols, inheriting from the BaseSymbols class. Coordinate symbols are simply the translational (x,y,z) and rotational (theta_x, theta_y, theta_z) coordinates about the centre of mass of a body.
As expected, use the RIGHT HAND RULE to determine coordinate directions.
Fix your x-axis appropriately, and the rest comes for free.
- Parameters
name (int, float or string) – the name of the body or object we want to generate coordinates for.
- Returns
None
Example
>>> from skydy.configuration import CoordinateSymbols >>> # Create a set of symbols >>> body_name = 1 >>> body_coords = CoordinateSymbols(body_name)
- class skydy.configuration.BaseSymbols.DimensionSymbols(name)[source]¶
Bases:
skydy.configuration.BaseSymbols.BaseSymbols
- __init__(name)[source]¶
A set of dimension symbols, inheriting from the BaseSymbols class. Dimension symbols simply exist in x-, y-, z-coordinates. By default, these symbols are defined by l, or a length.
- Parameters
name (int, float or string) – the name of the body or object we want to generate dimensions for.
- Returns
None
Example
>>> from skydy.configuration import DimensionSymbols >>> # Create a set of symbols >>> body_name = 1 >>> body_dims = DimensionSymbols(body_name)
- class skydy.configuration.BaseSymbols.ForceSymbols(name)[source]¶
Bases:
skydy.configuration.BaseSymbols.BaseSymbols
- __init__(name)[source]¶
A set of force symbols, inheriting from the BaseSymbols class. Force symbols simply exist in x-, y-, z-coordinates. By default, these symbols are defined by F, or a Force.
- Parameters
name (int, float or string) – the name of the body or object we want to designate a force for.
- Returns
None
Example
>>> from skydy.configuration import ForceSymbols >>> # Create a set of symbols >>> body_name = 1 >>> body_forces = ForceSymbols(body_name)
- class skydy.configuration.BaseSymbols.TorqueSymbols(name)[source]¶
Bases:
skydy.configuration.BaseSymbols.BaseSymbols
- __init__(name)[source]¶
A set of torque symbols, inheriting from the BaseSymbols class. Torque symbols simply exist as rotations about the x-, y-, z-coordinates. By default, these symbols are defined by tau, or a Torque.
- Parameters
name (int, float or string) – the name of the body or object we want to designate a Torque for.
- Returns
None
Example
>>> from skydy.configuration import TorqueSymbols >>> # Create a set of symbols >>> body_name = 1 >>> body_torques = TorqueSymbols(body_name)
skydy.configuration.Configuration module¶
- class skydy.configuration.Configuration.Configuration(name)[source]¶
Bases:
skydy.configuration.BaseSymbols.CoordinateSymbols
- __init__(name)[source]¶
A body’s configuration is nothing other than a description of its pose (where it is, and how it is oriented).
As such, it is decribed by a vector of positions, and a matrix of rotations. All bodies can have up to 6 DOFs, i.e., directions in which it can move.
By applying constraints, a body can have as little as zero DOFs.
A Configuration inherits from CoordinateSymbols, as it is solely related to a body’s name, and the 6 CoordinateSymbols that describe it.
- Parameters
name (int or str) – the name for the symbols. This will form the superscript, i.e., the body the symbols refer to.
- Returns
None
Example
Configuration for body named “1”.
>>> from skydy.configuration import Configuration >>> body_name = "1" >>> body_config = Configuration(body_name) >>> # See the symbolic position and rotation of the body >>> print(body_config.pos_body) >>> print(body_config.rot_body)
- apply_constraint(idx, const_value=0)[source]¶
Apply a coordinate constraint to the free configuration of the body.
- This indices for each coordinate are:
0 -> x 1 -> y 2 -> z 3 -> theta_x 4 -> theta_y 5 -> theta_z
- Parameters
idx (int) – the index to apply the constriaint to.
const_value (int or float) – the constant value to substitute in for the coordinate at the index. Default value is zero.
- Returns
None
Example
Constrain some coordinate for a body named “1”.
>>> from skydy.configuration import Configuration >>> body_name = "1" >>> body_config = Configuration(body_name) >>> # Apply a translational constraint to the z-axis, at a height of 5 m. >>> body_config.apply_constraint(2, 5) >>> # Apply a rotational constraint about the y-axis >>> body_config.apply_constraint(4, 0)
- property pos_body¶
- reset_constraints()[source]¶
Reset the constraints, i.e., remove any restrictions on movement.
In short, the position and rotation are the free configuration matrices determined on object instantiation.
- property rot_body¶


libnsssd is a library that can be used by external applications to implement extra nsss backends, in the style of nsssd-unix and nsssd-nslcd, without learning the details of the nsss protocol or having to perform IO themselves.
The rest of your program should implement the functions needed by nsssd_main(). Here is what those functions are:
void *nsssd_handle_init (void)
This function must return a pointer to an uninitialized handle. The handle can be whatever you need to implement your backend; the pointer to your handle will be passed to every subsequent function. The function must not return NULL.
int nsssd_handle_start (void *handle, char const *const *argv)
This function must initialize the handle. The arguments
it takes are a pointer to the handle and the argv that has been
passed to nsssd_main(). This allows you to write daemons
that can be somewhat configured via the command line: it is how
nsssd-nslcd takes an argument
telling it where the nslcd socket is, and uses that argument in
its own nsssd_handle_start to actually connect to the
nslcd daemon.
The function must return nonzero if it succeeds, and 0 if it
fails, setting errno appropriately.
void nsssd_handle_end (void *handle)
This function must deinitialize the handle and free all related resources: close connections to external processes, etc.
int nsssd_pwd_start (void *handle)
This function will be called at the start of a passwd enumeration. It must return nonzero on success and 0 on error.
int nsssd_pwd_rewind (void *handle)
This function will be called on a setpwent() call. It must rewind the current enumeration to the start of the database. It must return nonzero on success and 0 on error.
int nsssd_pwd_get (void *handle, struct passwd *pw)
This function will be called on every getpwent() call, i.e. on every iteration of an enumeration. On error, it must return 0; on success, it must return nonzero and store the obtained passwd structure into *pw.
void nsssd_pwd_end (void *handle)
This function will be called at the end of a passwd enumeration.
int nsssd_pwd_getbyuid (void *handle, struct passwd *pw, uid_t uid)
This function must implement a getpwuid(uid) call. On error, it must return 0; on success, it must return nonzero and store the result into *pw.
int nsssd_pwd_getbyname (void *handle, struct passwd *pw, char const *name)
This function must implement a getpwnam(name) call. On error, it must return 0; on success, it must return nonzero and store the result into *pw.
Similar functions for the group and shadow databases must also be implemented. The full list can be found in the nsss/nsssd.h header.


Preparation time
overnight
Cooking time
10 to 30 mins
Serves
Serves 8
For the beef, place the soy sauce, chilli, garlic and oil in a blender or food processor and blend until smooth.
Place the beef in a non-reactive bowl and pour the marinade over the beef. Cover with cling film and leave the beef to marinate for several hours or overnight in the fridge. Turn the beef in the marinade from time to time. When you are ready to cook, remove the beef from the fridge and bring it to room temperature.
Preheat the oven to 220C/430F/Gas 7.
Heat a large ovenproof frying pan until hot, carefully lift the beef out of the marinade (discarding the marinade), place the beef in the pan and sear on each side until brown. Place in the oven and roast for 20-25 minutes.
Remove the beef from the oven and allow it to cool in the frying pan.
For the salad, place the soy sauce, ginger, chilli, garlic, lemon juice, fish sauce and sugar in a bowl and whisk to combine.
To serve, arrange the leaves on a plate. Thinly slice the beef fillet and arrange it over the salad leaves. Drizzle with the dressing and serve.


Introduction
The thought that generated this analysis came during the very first phases of our work. We had to choose a parameter to rank the movies and create a list of films relevant for the audience and, at the same time, adherent to the topic.
We considered several criteria as reference for measuring what happens if someone approaches a movie on the web or through more traditional channels (like cinema and tv). The box office data or the views of Youtube trailers, available movies lists in specialized platform (such as Imdb) were some of our possibilities.
In this analysis we compared two datasets: the box office and the views on Youtube, one as index for the traditional ways of enjoying movies, the other as reference for what potentially happens on the web.


FAQ : install : mailing list : contact
Userdir is so far not much more than a proof-of-concept drop-in replacement for FreeBSD's getpwent.c, but I believe it has the potential to displace /etc/password (and its friends like /etc/master.passwd and vipw).
The idea behind it is simple: rather than have one flat root-owned file containing the entire user database, userdir takes advantage of the powerful hierarchical database that is the Unix filesystem. Each login name has its own directory, and each field in struct passwd is represented inside that directory by an appropriately named text file. For example, user "bob"'s shell is in /etc/users/bob/SHELL and his home directory is in /etc/users/bob/DIR. And you can find his UID in /etc/users/bob/UID. His crypted password is in /etc/users/bob/PASSWD, and since by default this file is mode 0400 and owned by root, there's no need for a separate "shadow" password file. Of course the system administrator is free to give "bob" (or bob's boss) read and/or write access to this file, paving the way for a (still vaporware) passwd utility that doesn't need its setuid bit set.
And that's just one of many things that are easy to do with userdir that are either difficult or not possible at all with a traditional /etc/passwd system.
If you have a FreeBSD 4.x system that you're willing to experiment with, install the code and help me improve it. It's under a BSD-type license. Or if you like, rewrite it completely since it's really not very complicated and you're probably a better C programmer than I am.
Try writing an NSS module, if you are running a system that supports such things, that implements userdir. M.J. Pomraning is working on a Linux implementation.
If you are running NetBSD, OpenBSD, or FreeBSD-CURRENT, try implementing userdir under that version of NSS.
Some important commands need to become "userdir-aware" like passwd and adduser (and useradd on Linux).
Consider ways of replacing other flat systems files like /etc/group with a directory hierarchy.
I welcome your questions, comments, and code<EMAIL_ADDRESS>but read the FAQ first, and consider joining the mailing list.


This is the API documentation for 'sprockets-2.2.2 Documentation'.
[Validate]
Generated with the Darkfish Rdoc Generator 2.


Submit Command
Connect
Disconnect
Options
Use datachannel
Ordered, reliable
Unordered, no retransmissions
Unordered, 500ms lifetime
Use audio
Default codecs
Opus
PCMU
PCMA
Use video
Default resolution
320x240
640x480
960x540
1280x720
1920x1080
Default buffer size
1 GB
2 GB
4 GB
Default framerate
15 fps
30 fps
60 fps
Use STUN server
State
ICE gathering state:
ICE connection state:
Signaling state:
Data channel
SDP
Offer
Answer


How Online education can be a disruptive technology - Online Education is low quality and is mostly ignored by bigger institutions as unprofitable and inappropriate for their brand name. So these businesses can use them as an entry strategy and expand market share slowly. Since it is mostly free and cheap, it can attract many students all over the world and over time, with improving technology like virtual classrooms, 3D classroom effect, live video and audio discussions with other students, increasing speed of network and easy access to resources & certifications, online education can provide better quality education and would slowly become students preferred choice of education and thus can disrupt the whole education industry. Hence Online Education is a disruptive technology in Education Industry.
The main advantage online shopping gives to customers is that there are no travel hours and they need not wait for long hours for billing in physical stores. One of the disruptive technologies which eliminates this wait time is the concept of virtual store via cellphone and virtual shopping inside a physical store where all the shelves are LCD screen and users choose their desired items by scanning the barcode and their groceries are already packed in bags at the checkout.And these virtual stores can be installed on buses, universities and even subways which allow customers to shop whenever they want and their order is delivered instantly. Hence there is no delivery issues and these technologies can pose a threat to our business.
We are coming up with a mobile App for our business which allows customers to order any time, anywhere and we are also planning to make our company a Virtual corporation which would allow us to instantly coordinate with the closest logistics company and closest grocers to make the delivery instantaneous to customers.


public class BeliefPropagationMath
extends java.lang.Object
| Modifier and Type | Field and Description |
|---|---|
static boolean |
_is_1_to_1 |
static double |
update_step |
| Constructor and Description |
|---|
BeliefPropagationMath() |
| Modifier and Type | Method and Description |
|---|---|
static void |
performBeliefPropagation(BPMathModelNode[] modelNodes,
BPMathModelRelation[] modelRelations,
int dataNodeCount,
MismatchValues mismatches,
int numIterations)
Method performs Belief Propagation (BP) where nodes messages are passed between the nodes of the Model Graph, and link messages
are passed between the links of the Model graph.
|
static void |
print(BPMathModelNode[] modelNodes,
BPMathModelRelation[] modelRelations,
boolean printL,
boolean printMu,
boolean printP)
Method prints the information of interest to the console.
|
static void |
printLorLR(java.util.ArrayList<java.lang.Double> list)
Method prints the outgoing (L) and incoming (LR) relation information
|
static void |
printMu(java.util.ArrayList<DataNodeAndMu> list)
Method prints the messages between nodes in Model Graph
|
static void |
printProb(java.util.ArrayList<DataNodeAndMu> list)
Method prints the probabilities contained within the messages Mu
|
static java.util.ArrayList<java.lang.Double> |
updateLink(BPMathModelRelation r,
java.util.ArrayList<DataNodeAndMu> rMuOfM,
RelationshipMismatchProvider mismatchProvider,
RelationshipMismatchProvider.MismatchRelationshipType mismatchRelationshipType)
Method updates the mismatch of a particular outgoing relation in the Model Graph with all other relevant relations in the Data Graph
|
static java.util.ArrayList<java.lang.Double> |
updateLinkReverse(BPMathModelRelation r,
java.util.ArrayList<DataNodeAndMu> rMuOfK,
RelationshipMismatchProvider mismatchProvider,
RelationshipMismatchProvider.MismatchRelationshipType mismatchRelationshipType)
Method updates the mismatch of a particular incoming relation in the Model Graph with all other relevant relations in the Data Graph
|
static void |
updateMu(BPMathModelNode modelNode,
java.util.ArrayList<java.util.ArrayList<java.lang.Double>> nLink,
java.util.ArrayList<java.util.ArrayList<java.lang.Double>> nLinkReverse,
MismatchValues mismatches)
Method updates the messages that are sent between nodes and links based on the mismatch values
|
public static boolean _is_1_to_1
public static double update_step
public static void performBeliefPropagation(BPMathModelNode[] modelNodes, BPMathModelRelation[] modelRelations, int dataNodeCount, MismatchValues mismatches, int numIterations)
modelNodes
- An array of the nodes in the Model GraphmodelRelations
- An array of the relations in the Model Graph (links between nodes)dataNodeCount
- An integer that holds the number of nodes in the Data Graphmismatches
- MismatchValues holds the mismatches between attributes of node/link in model and data graphsnumIterations
- An integer that holds the maximum number of iterations for BP to be performedpublic static void print(BPMathModelNode[] modelNodes, BPMathModelRelation[] modelRelations, boolean printL, boolean printMu, boolean printP)
modelNodes
- Array of the nodes in the Model GraphmodelRelations
- Array if the relations/links in the Model GraphprintL
- Boolean variable to print outgoing (L) and incoming (LR) link informationprintMu
- Boolean variable to print the messages sent between nodes in Model GraphprintP
- Boolean variable to print the probabilities that are encoded within the messagespublic static void printLorLR(java.util.ArrayList<java.lang.Double> list)
list
- A double list that holds information contained within outgoing (L) and incoming (LR) links within the Model Graphpublic static void printMu(java.util.ArrayList<DataNodeAndMu> list)
list
- A list that contains message that contains information of the mismatch between a node in
the Model graph and the approriate node in the Data Graphpublic static void printProb(java.util.ArrayList<DataNodeAndMu> list)
list
- ArrayListpublic static void updateMu(BPMathModelNode modelNode, java.util.ArrayList<java.util.ArrayList<java.lang.Double>> nLink, java.util.ArrayList<java.util.ArrayList<java.lang.Double>> nLinkReverse, MismatchValues mismatches)
modelNode
- Specific node within Model GraphnLink
- A list of all the outgoing links from that nodenLinkReverse
- A list of all the incoming links from that nodemismatches
- The mismatches between attributes of nodes/links between Model and Data Graphspublic static java.util.ArrayList<java.lang.Double> updateLink(BPMathModelRelation r, java.util.ArrayList<DataNodeAndMu> rMuOfM, RelationshipMismatchProvider mismatchProvider, RelationshipMismatchProvider.MismatchRelationshipType mismatchRelationshipType)
r
- Specific outgoing relation from a noderMuOfM
- Message that is being passed from the relationmismatchProvider
- TODO: NOT SURE WHERE THIS INTEFACE IS TO BE OVERRIDDEN!!!mismatchRelationshipType
- TODO: Predecessor and Successor sound like they are previous and next iteration? Is that correct?public static java.util.ArrayList<java.lang.Double> updateLinkReverse(BPMathModelRelation r, java.util.ArrayList<DataNodeAndMu> rMuOfK, RelationshipMismatchProvider mismatchProvider, RelationshipMismatchProvider.MismatchRelationshipType mismatchRelationshipType)
r
- Specific incoming relation from a noderMuOfK
- Message that is being passed from the relationmismatchProvider
- TODO: NOT SURE WHERE THIS INTEFACE IS TO BE OVERRIDDEN!!!mismatchRelationshipType
- TODO: Predecessor and Successor sound like they are previous and next iteration? Is that correct?


Dai si hing
Dai si hing is a movie starring Donnie Yen, Joe Chen, and Kang Yu. A soldier-turned-high school teacher uses unusual methods to reach to a class of poor students, while dealing with a greedy entrepreneur and his gang of fighters as...


{% import "bootstrap/wtf.html" as wtf %} {% extends "members_base.html" %} {% block title %} {% if add_department %} Add Role {% else %} Edit Role {% endif %} {% endblock %} {% block body %}
Work with stakeholders to decide important things, such as project scope or schedule changes.


I was born in Italy so Italian is my native language but, I started studying English from primary school. Knowing more than one language is a fundamental aspect today because more often people travel around the world for business or for pleasure. Therefore, in middle school, I started spending some weeks during the summer to learn and practice English fluency attending colleges in the UK.
Then since I wanted to meet the requirement for the application at the university, while I was doing the High School exam, between the second and the third test, I took the IELTS (according to the official website, the high stakes English test for international study, migration and work) and I passed it with an overall score of 7.
All these certifications are a proof of my attitude and my availability at travelling that it is a necessary skill for an international career.


I am a junior web developer who enjoys working in a collaborative environment. A fast learner with the ability to assess the organization's needs and create a robust web presence.
Passionate in helping customers, accustomed to working in fast-paced environment and values customer success.
Developed and deployed websites in a Cross-Platform and Cross-Browser Environment. Performed usability test to ensure seamless digital experience both for the app and web. Provided Technical Support and practiced incident reporting with a tracking software.
SEE FULL RESUME HERE
HI, USA
Philippines


Computes IPM for assessing variable importance for random forests. See details at I. Epifanio (2017) <doi:10.1186/s12859-017-1650-8>.
| Version: | 1.2 |
| Imports: | party, randomForest, gbm |
| Suggests: | mlbench, randomForestSRC, ranger |
| Published: | 2017-08-09 |
| Author: | Irene Epifanio, Stefano Nembrini |
| Maintainer: | Irene Epifanio <epifanio at uji.es> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Citation: | IPMRF citation info |
| Materials: | NEWS |
| CRAN checks: | IPMRF results |
| Reference manual: | IPMRF.pdf |
| Package source: | IPMRF_1.2.tar.gz |
| Windows binaries: | r-devel: IPMRF_1.2.zip, r-release: IPMRF_1.2.zip, r-oldrel: IPMRF_1.2.zip |
| OS X binaries: | r-release: IPMRF_1.2.tgz, r-oldrel: IPMRF_1.2.tgz |
| Old sources: | IPMRF archive |
Please use the canonical form https://CRAN.R-project.org/package=IPMRF to link to this page.


Drag shapes around to form a T shape.
Left click the arrows to rotate left,
Right click them to rotate right,
Double click them to flip.
Simple? Not that fast, it is harder than you might think.
Have fun!
You won!


Alexa, turn on the lights
Use Alexa to control Home Assistant.Ok Google, turn on the AC
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#include <io_ops.h>
Returns the set of files matching one or more glob patterns.
Note that this routine only supports wildcard characters in the basename portion of the pattern, not in the directory portion. Note also that the order of filenames returned can be non-deterministic.
Arguments:
Returns:
Output
: A vector of matching filenames.
Constructors and Destructors |
|
|---|---|
MatchingFiles(const ::tensorflow::Scope & scope, ::tensorflow::Input pattern)
|
Public attributes |
|
|---|---|
filenames
|
|
operation
|
Public functions |
|
|---|---|
node() const
|
::tensorflow::Node *
|
operator::tensorflow::Input() const
|
|
operator::tensorflow::Output() const
|
|
::tensorflow::Output filenames
Operation operation
MatchingFiles( const ::tensorflow::Scope & scope, ::tensorflow::Input pattern )
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operator::tensorflow::Output() const


The risk of a loan is determined using a number of factors - the two most important are the borrower's credit score and whether the loan is secured or not.


This is a summary of the practices I followed preparing my first public talk at a tech conference–I describe what motivated me to speak in public and how I focused on one sticky core idea with the help of a generative metaphor. This is a collection of ideas taken from books and personal experience that I hope will help others embarking on the same journey.
The motivation to speak
The very first time I spoke in public years ago was to not disappoint a person. It was a short 5 minute talk at a local user event but I still remember I didn’t want to do it at all. The talk was about the benefits of sharing knowledge in the tech industry–the same reason I submitted my first talk to an international conference with topic: Build and maintain large Ruby applications.
I’ve been passionate about large maintainable Ruby applications for several years and really wanted to share my insight to prevent others making my same mistakes.
Deliver an engaging core idea
I wanted to give the audience a memorable story–a metaphor that would act as a springboard to a solution–hopefully the one I suggested.
I wanted to deliver a clear message with a goal that was provoking, audacious but not parallelizing.
Speakers understimate how hard it is to be part of the audience–I was often there and felt overwhelmed by the amount of information the speaker dumped on me and only during my research I realized I wasn’t a bad audience member but rather the presenter was doing a very poor job.
I expected the audience to disagree, agree or have the desire to find out more about the message: build large maintainable Ruby applications is possible with the use of Gems/libraries.
I based the talk proposal on presentations I gave to local groups but realized in those presentation the core idea was opaque–I was describing a series of events with a level of technical detail that would create a cognitive backlog and high risk of disengaging the audience.
In October 2015 my talk was accepted and I started brainstorming and my bedroom wall became the repository for post-it notes with the flow of the presentation.
While brainstorming my past work experiences I realized the core build maintainable Ruby applications was the combination of three things. Three is also the ideal number of items a person can keep in their working memory without being overloaded and it perfectly matched my usecase:
you can build large maintainable application with Ruby with the use of Gems/libraries, automated tests and team diligence
and then I started working on a generative metaphor to make that idea stick with the audience after the conference.
The springboard story
I came up with the generative metaphor of piling recipes ingredients on a messy table top but I wasn’t sure if it would work so I presented it in November 2015 at a local meetup 3 months before the talk as the introduction to another talk. The audience was engaged and I got positive feedback so I decided to use it.
I used vivid details to help making the story memorable like a real cafe in Sydney and I always described it from the point of view of one individual: Stevo.
The metaphor took about 10 minutes of my 30 minutes presentation–three times I moved between the metaphor and more technical terrain until the start of the technical analysis of the problem and solutions.
When I wrapped up the presentation I referenced the metaphor one last time to close off the talk and as a reminder of its purpose.
Divide the presentation in bits to ensure your fit in the timeslot
A series of post-it notes to indicate the areas of the presentation helped me rehearse portions of the talk and also have a mental model of the points without having to memorize a script or read one.
Only once the presentation backbone was set I started working on the slides on my computer.
I was rehearsing the presentation in bits–then the whole ensuring it would fit in the 30 minutes time slot. I started with reading a basic text sketch as the backbone to check the rough time it would take.
I had to make sure I was reading it at a public speaking pace rather then reading pace. Public speaking is around 120 words per minute–more then that and you will make your audience job much harder–check out http://spritzinc.com to get an idea of what word per minute means or on OSX paste in a terminal say -r 120 "I had to make sure I was reading it at a public speaking pace rather then reading pace. Public speaking is around 120 words per minute"
I was initially planning to read the script at the conference but then I found research of how disengaging that is for the audience. When you look at your audience in the eyes rather then reading on a computer you will be more engaging.
In hindsight I wish I did a better job looking at the whole audience rather then just the first few rows. Next time.
Get feedback before the event
One month before going to the conference I scheduled four public rehearsals at local events.
One at a local Ruby meetup in Boulder, one in Denver, one at my office and one at our office in Sydney Australia where the conference was held. It was great to receive feedback and I adjusted things aware of contradicting feedback–some people wanted more technical details other less–some liked the section I dedicated to mindset others suggested to reduce it. Eventually you’re by yourself deciding what to do.
Thanks to the feedback I removed jokes about public figures seen as villains because that might not relate with or upset the audience–I instead used popular movies villains.
A few weeks before the conference I was thinking to ask the audience to fill an anonymous poll with their background related to the topic of my talk to hone the presentation for their needs but I couldn’t mail out all the whole attendees. Using twitter and the local mailing list would have left some people out and instead of getting misleading information I didn’t do it. In hindsight I wish I sent the poll out just for the sake of general information.
Reharse reharse reharse
After the talk people asked me if I memorized a script but the answer is no. I just rehearsed so much the presentation backbone was second nature and exposing the bits was pretty natural. The initial set of presenter notes quickly became outdated and they where more like indicators of what I intended to say rather then what I wanted to say. I often used different wording but when some key sentences sounded off I wrote them down on a piece of paper, strike them with a black pen and wrote the better sentence that I wanted to use. I’d say I ended up memorizing some key sentences to make the most out of them and get to the point.
A month before the conference I started rehearsing twice a week. At first I was recording my voice only and listening back to it while preparing dinner. Then I started using the laptop camera to see myself–this helped a lot–I noticed a few disengaging movements like hands in my pockets or touching my face or in front of my mouth.
I wrote those “bad behaviours” down on a piece of paper to remind me to stop. It worked.
When I rehearsed the full presentation I timed the bits to help measure each section appropriately. In hindsight I didn’t do a very good job since I wrapped up 5 minutes earlier. Looking at the conference video I found out I was speaking fast in some sections so I’d focus on a more balanced pace next time.
I’ve heard conference organizers are happier if you finish early rather then late–obviously not too early. I had a couple of bits sections that I was ready to ditch in case I was running late rather then going faster which usually just makes things worst. I had a remote with a timer that was of great help in finding out how I was doing with time.
Rehearsing by myself helped a lot but doing it in front of people… seeing their facial expressions and hearing their noise, laughter or silence was of great help. At a point I was thinking to print out faces to look at while rehearsing but it turned out to be unnecessary.
I used OSX Keynote and at first I used my iPhone 6 as the remote. While rehearsing the iPhone always felt bulky and one time I almost dropped it off my hands–I caught it while it was floating in the air but I didn’t wanna test my luck on stage and bought a remote.
Get used to the stage
I knew the resolution was 16:9 so I optimized for that.
The day before the conference the excellent organizers gave us time to check the connection and slides on the stage. I was able to ensure the font and images where ok–they scaled bad on a projector in one of my rehearsals. The remote had a green pointer that didn’t have good contrast but I wasn’t planning to use it too much anyway.
I found out there was going to be one track and around 300/350 people listening to my talk… that felt pretty overwhelming. I never spoke to an audience of 300 people before. I knew people coming to this conference were paying between 200$ to 500$ and I thought it would have been disrespectful to be unprepared–but felt good about the amount of rehearsals I did so the overwhelm feeling didn’t last long.
The morning before my talk I did one last run–I felt like I wanted to change a ton of stuff but I didn’t–I decided to stick with what I worked on.
The overwhelming feeling was there before starting the talk but as I moved between the bits of my presentation backbone I was confident what would come next.
During the talk the projector screens went black 3 or 4 times for some A/V problem–I stopped because I was worried the audience would get lost without visual cues but I was able to recover pretty quickly thanks to not memorizing or reading a script. If I did I would have to rewind the mental disk or find the line I was at.
Conclusion
I forgot to say things that I wanted to say and I think I could have been more engaging and speak at a slower pace at times but I loved the whole experience. It was really hard work. I estimate I’ve spent between 60 to 80 hours including reading books to improve my presentation skills.
If you’re curious you can watch my talk here.
Recommended books
- The Quick and Easy Way to Effective Speaking
- Talk like Ted
- The Springboard: How Storytelling Ignites Action in Knowledge-Era Organizations
- Made to Stick: Why Some Ideas Survive and Others Die
- Mindset: The New Psychology of Success


Classification
MatID can be used to automatically classify structures into different structural classes. The currently supported classes are:
Class3D
: Generic class for all three-dimensional structures, e.g. bulk crystals, liquids, solid-liquid interfaces.
Class2D
: Generic class for all two-dimensional structures, e.g. surfaces, 2D materials.
Surface
: Specific class for surface structures.
Material2D
: Specific class for 2D materials.
Class1D
: Generic class for all one-dimensional structures, e.g. polymers, nanotubes.
Class0D
: Generic class for all zero-dimensional structures, e.g. atoms, molecules, clusters.
Atom
: Specific class for single atoms.
The classification system is hierarchical: e.g. a Surface is a subclass of a Class2D. If a two-dimensional structure cannot be assigned with certainty into a more specific subclass, the most specific applicable parent class is used.
The classification is based on the structural properties of the system, i.e. atomic positions, unit cell, periodic boundary conditions and atomic numbers. The classification, like the whole MatID package supports the ASE library for handling atomic structures. With ASE you can read structures from multiple files, or define the structure yourself with the Atoms class or the different structure creation tools. Once the structure has been specified as an ASE.Atoms object, you can input it into classification.
The following code shows an example of reading a structure from an extended XYZ file and classifying it.
from matid import Classifier
import ase.io
# Read an extended XYZ file containin an atomic geometry. Extended XYZ files
# will also include the unit cell and periodic boundary conditions.
system = ase.io.read("structure.xyz")
# Define the classifier
classifier = Classifier()
# Perform classification
classification = classifier.classify(system)
# Investigate result
print(classification)
An alternative way is to define the Atoms object yourself
from matid import Classifier
from ase import Atoms
# Define the structure as an ASE Atoms object
system = Atoms(
positions=[
[5., 5., 5.2981545],
[5., 5.763239, 4.7018455],
[5., 4.236761, 4.7018455],
],
symbols=["O", "H", "H"],
cell=[10, 10, 10],
pbc=[True, True, True],
)
# Define the classifier
classifier = Classifier()
# Perform classification
classification = classifier.classify(system)
# Investigate result
print(classification)
The Classifier
class provides multiple parameters that can be used to tune the
classification to fit different scenarios. The default settings are quite
conservative: they are good for a wide range of systems, but can result in slow
classification for bigger systems. The speed can be improved by providing
custom settings if more is known about the dataset.


Characters¶
When talking about Characters, called NPCs in the original engine, the people and monsters inside the world are meant. A character can be the Hero, Diego or some random other dude minding his own business. But it can also be a Wolf, an Orc or a Meatbug. In REGoth, a each Character has its own Scene-Object, with multiple Components working together in order to process the AI, render the visuals and a number of other things.
Note
The original engine called all of those NPCs, as in “Non Player Characters”. However, that name is misleading as the Character controlled by the player was an NPC, too. Therefore, we just call everything Character in REGoth.
Inserting a Character¶
If you want to insert a character into the world via native code, you should take a look at the GameWorld
-class, more specifically at GameWorld::insertCharacter()
. There
exist multiple overloads of that method, where each of it takes the Name of the Script-Instance to create and a location where to spawn it. For example, insertCharacter("PC_HERO", "OC1")
will insert a character of instance PC_HERO
at the Waypoint OC1
, which is near the Old-Camp. The name of the Script-Instance comes from within the Daedalus-Scripts.
Inserting the Hero¶
To insert the hero, you need to:
- Insert a Character with the
PC_HERO
instance, - register it as Hero,
- optionally attach a
CharacterKeyboardInput
-Component to control it.
Once you have loaded a world, this is done by the following lines of code:
HCharacter hero = world->insertCharacter("PC_HERO", "STARTPOINT");
hero->useAsHero();
hero->SO()->addComponent<CharacterKeyboardInput>();
The parameter "STARTPOINT"
has to be set to a valid Waypoint in this case. You can also use an other
overload to use a different method to describe where the Hero should be added.
Note
After the hero is created and registered, you may call GameWorld::runInitScripts()
to also insert
the other characters and items into the world.
Shrinking and Un-Shrinking¶
The original engine can save processing time by not updating Characters which are far away from the player. If a character leaves a certain radius, it’s visuals are unloaded after some time, physics is no longer processed and AI is disabled. Disabling a Character is called Shrinking by the original engine. Once a character comes into the players visibility radius again, it is Un-shrinked and being fully processed again.
While a Character is Shrinked, it will still exist within the world and can be targeted by script code as well as native code.
Distances¶
As mentioned before, once a Character reaches a certain distance to the player, it will be Shrinked. If the distance to the player falls below that threshold again, it will be Un-Shrinked.
However, it’s not actually that simple. The original engine, actually has two distances:
- one for Characters going out of range (Shrink),
- and one for Characters comming into range (Un-Shrink),
while the distance for Shrinking is larger than the one for Un-Shrinking. This is to work around that when using a single distance, Characters being right on the edge of it may pop into and out of range every other frame.
By default, Gothic Shrinks Characters being further away than 45 meters and Un-Shrinks them again if they come closer than 40 meters.
Positioning of Shrinked Characters¶
Since Shrinked Characters have their AI disabled, they cannot move along their daily routine. Once a character goes out of range, it would stay exactly where it was until the player comes close to it again. To work around that, the daily routines of the Characters will still be evaluated while the Character is Shrinked. The position of a Character the player cannot see is then just assumed to be whatever the current routine says.
Note
This is why in Gothic I, you can run into the Old-Camp faster than Diego walks, but you will still find him at his hut: He went out of reach since he walks rather slowly, got put where his daily routine expects him to be while being Shrinked, which is at his own hut and therefor arrived faster at the Old-Camp than you can run.
The only way to arrive faster than Diego is to always keep him in range, so he doesn’t get Shrinked and then move a little bit quicker on the last few steps.
Components making up a Character¶
The following Components are important for a Character:
VisualCharacter
- Loads the Skeletal-Mesh and handles Animation-Playback.bs::CCharacterController
- Physics-Processing.CharacterAI
- Implements the Characters State-Machine, ie. which actions it can do at what time and asks the visual to play matching animations.Character
- Handles the Characters gameplay relevant actions, and serves as the main interface into what a Character can do. This is also the place where most NPC_*-externals are implemented.To create a Scene-Object with the correct components, please see
GameWorld::insertCharacter()
.


Mafia Tally Administration
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This is the act of pulling down one lower eyelid and sticking out the tongue and saying "Beh-da!" (Japanese) or "Nyaaaah!" (English dub). A highly ritualized expression of disdain or disapproval, used exclusively by children and immature adults. Basically the same as the Western act of sticking out the tongue, cranked up a few notches, though definitely not a profane gesture.
In Japan this is referred to as akanbe (a corruption of akai me, "red eye"), and it's called mon oeil ("my eye") in France and Quebec. This is in fact a Franco-Japanese cultural trope, but you'll see it everywhere in anime, with some fandom even dubbing it the "Japanese Raspberry". Easily mistaken for the Eye Am Watching You gesture, but it's entirely unrelated. See also Blowing a Raspberry.
A similar gesture is used in Germany to call someone out on their bullshit, roughly equivalent to "my ass", while in Italy and Israel the same gesture (minus the tongue sticking out) can either mean "watch out" or "you can't fool me".
Examples
- Onegai My Melody: This is one of Kuromi's tactics against My Melody.
- In a flashback in Episode 1 of Kotoura-san, one female classmate does this to Haruka. It's Played for Drama.
- Princess Mashiro does this to a trio of castle guards in the first episode of Mai-Otome, as seen in the image above. She then does it in the next episode when talking down to Arika.
- Ranma ½:
- Ranma and Akane give each other the Red Eye fairly frequently.
- Ranma gave once the Red Eye to Principal Kuno; with his big toe, as his arms were tied up.
- Sailor Moon:
- Usagi and Rei's relationship in Sailor Moon is largely giving each other red-eye.
- Shingo also does this to Usagi in his first appearance.
- Ryunosuke and Yoshimi give the Red Eye to Arisa and Kyoko at the end of the Beach Episode of All-Purpose Cultural Cat Girl Nuku Nuku.

- Happens at the end of the Haruhi Suzumiya episode "Someday in the Rain" by Haruhi. She also does it on the cover of the sixth novel, and the back of the DVDs in a chibi form.
- In Bubblegum Crisis, Nene Romanova uses her powered-armor's laser to scrawl a picture of someone giving a red-eye on a sidewalk, as a gesture to the military who are tracking her by spy satellite, just before ducking under a bridge to drop off her armor in a truck and walk off as a perfectly normal girl. (This must have shamed said military a great deal, because we never see them again attempt to discover the Knight Sabers' identities this way, despite them not being very subtle about heading to and from their base.)
- A couple times in Ouran High School Host Club Hikaru and Kaoru do this at the same time (in opposite eyes, no less).
- Spotted in Shaman King.
- Naruto:
- Ino likes to do this in this series.
- Orochimaru does it once or twice, but with him it's just creepy.
- In Full Metal Panic!!, Kaname does this to Sōsuke when she ditches him (temporarily) at the train station.
- Happens in Pokémon occasionally. 4Kids inconsistently edited this out.
- An Aerodactyl does this to Ash's Charmeleon. It pisses him off so much that he promptly evolves into Charizard.
- One of the Pichu Brothers does this to Pikachu (and spanks himself) in the short Pikachu and Pichu.
- A Phione does this to Jessie in season 12.
- Team Rocket did this on multiple occasions in season 1.
- At the end of "Clefairy and the Moon Stone," when Ash reads the sign pointing ahead to Cerulean City, he spots a message left for him by Gary. As he reads the message, an image of Gary giving this gesture briefly appears on screen. 4Kids took the image out of the dub, though.
- After Ash got banned from the Celadon Gym for badmouthing the Gym Leader's perfume shop without knowing that she was the owner, one member responds to Ash's pleas to get inside by simply giving him this gesture.
- May does this to Max in "Tree's a Crowd".
- The first ending of the Diamond and Pearl series has a montage of Dawn making several faces, including this gesture.
- Jessie does it to Ash in the last Best Wishes episode.
- Agito does this to Reinforce Zwei in the ending sequence of Magical Girl Lyrical Nanoha Striker S.
- Mylene gives Basara the Red Eye as she drives away with Basara's Transforming Mecha to have it repaired in an episode of Macross 7.
- Dita gives Jura the Red Eye in an episode of Vandread.
- Viola does this in episode 7 of Kiddy Grade.
- Happens in Dirty Pair occasionally (both in the anime and in the comics by Adam Warren).
- Dragon Ball franchise:
- Goku does this a lot as a child in Dragon Ball, as does present Trunks later on.
- In Dragon Ball Z, Jimmy Firecracker/the Cell Games reporter does this to Cell.
- In Dragon Ball Super's Universal Survival* Arc, while reintroducing Universe 6's Hit, Champa quickly sneaks this taunt behind him towards Goku's Universe 7 team.
- A rare instance of the trope in a tragic use when Champa is about to be erased by zeno; he does this a final gesture and goodbye to his brother, Beerus.
- Hanaukyō Maid Tai La Vérité episode 7. Yashima Sanae has been insulted by Ryuuka, who insinuates that she's giving up on the expedition. As Mariel and Yashima Sanae walk off hand in hand, Yashima gives this to Ryuuka.
- In Squid Girl, Ika does this when Goro tells her and Takeru they're not supposed to be sitting in his lifeguard chair.
- Yu-Gi-Oh!:
- Jounouchi does this to Yami Malik after he reduces the latter's LP to 0 in the Battle City semifinal match up determining duel.
- Rebecca does this to Vivian Wong after beating her and claiming Yugi (who they both have a crush on) for herself.
- Yu-Gi-Oh!: Capsule Monsters: Tristan makes Joey do this to an enemy monster in order to draw its attacks.
- Kaitou in Phi Brain: Puzzle of God tends to perform the act whenever declaring "It's Puzzle Time". See the anime's entry image for the exact gesture.
- Urabe does this in Mysterious Girlfriend X when Tsubaki wants to take her picture, and when she reveals she lied about having a crush on another boy when she was younger.
- In Girls und Panzer, after Erika is walking away from taunting the Oarai team, Saori does this to her.
- In Sonic X, Sonic does this while standing on the arm of one of Eggman's mechs to goad it into hitting itself. Amy also does this at one point after getting irritated by civilians watching them.
- Bleach.
- Happens twice in anime episode 11.
- While the students are facing school discipline, Tatsuki does it to Ichigo after he resents her attempt to get out of being suspended.
- While the students are checking their academic rankings, Keigo does it to Ichigo after discovering Ichigo's high standing and calling him a nerd.
- In anime episode 337, a cartoon image of Captain Mayuri appears on the screen and does this to Kisuke Urahara each time Urahara fails to guess the Squad 12 computer system's password.
- Mashiro does this to Kensei to mock him for forgetting that she can maintain her Mask of Power for 15 hours.
- Happens twice in anime episode 11.
- Averted with the Akanbes in Smile Pretty Cure! who have nothing to do with this trope.
- In Kingdom Hearts II, Kairi does this to Axel when she escapes with Pluto into the Dark Realm, leading them both to Twilight Town.
- My Neighbor Totoro sees Kanta occasionally making this gesture at Satsuki.
- In the manga version of Neon Genesis Evangelion, Asuka does this to Shinji after her initial strike against the Angel Israfel (seemingly) killed it.
- In Digimon Adventure, Mimi and Palmon do this after giving the slip to Sukamon and Chuumon, then do it again at the end of the episode as a parting insult.
- Doraemon: In "Noby, the Great Illusionist", Sneech taunts Noby by doing this when the latter asks for his Cardosaur trading card back.
- In The Rising of the Shield Hero, Myne, after falsely accusing Naofumi of raping her, does this at him as a cruel taunt.
- In Pleasant Goat and Big Big Wolf: Mighty Little Defenders episode 4, as Wolffy is writing a letter to his son Wilie, he is stung by a mosquito who then taunts him by pulling his eyelid and sticking his tongue out at him.
- Date A Re:Live: In the middle of the fight between herself and a replica of her inverse form, Tohka does it to the replica in order to blind the latter with a sandstorm.
- Pizzazz does this to Kimber in the third chapter of A Song of Grumbling & Cotton Candy after teasing her about her sex life with Stormer.
- Megami no Hanabira: Sara does this to Colette near the end.
- Apone does this to Hudson in Aliens "Look into my eye." He adds a USCM bonus while he's at it.
- Achilles does this to Alexander in the live-action Mecha movie Robot Jox
- Kamen Rider Zi-O: Heure pulls down his eyelid and stick out the tip of his tongue at the viewer in the series' opening.
- Shown on the album cover for Yuko Miyamura's first album, Kenka Banchō.
- While missing the visible tongue, NJPW wrestler Tetsuya Naito is known for a similar gesture to this, widening his left eye with both his thumb and index finger (below and above, respectively). It's so synonymous with him that it even crops up in his fictionalised appearance in Yakuza 6: The Song Of Life.
Naito: Torankiro... assen na yo!! note
- Mega Man's taunt in any crossover game he's featured in, except Super Smash Bros..
- There's an emote for this for The Voiceless cast of the second Snowboard Kids game.
- The pirate Briggs in Golden Sun: The Lost Age, while making off with a nice ship, is chided by his wife into doing what he apparently talked about all the time while in jail — give your party the Red Eye. He was apparently on the verge of chickening out. He's stolen the ship and is well on his way out to sea, and he's almost too scared of Felix for a parting gesture.
- In The King of Fighters XIII, if Kula Diamond (a 14-year-old girl who's also very childish for her age) gets upset during the pre-fight dialogues, she's shown doing this to the person she's talking to.
- In Freddi Fish and the Case of the Missing Kelp Seeds, Freddi does this at the end of the Dummied Out "Eddie Eats Luther" scene.
- In Umineko: Golden Fantasia Lucifer does this as her taunt.
- An NPC does this to another NPC in Final Fantasy Tactics during one of the non-combat scenes, and its easy to miss if youre mostly paying attention to the storyline.
- In Super Mario Sunshine, Shadow Mario does this to Mario, revealing an Overly Long Tongue, as he takes off to Pinna Park with Peach in tow.
- In Tekken 7, Eddie's ending has Lucky Chloe do this to him and running away after he defeats her.
- Anna does this in EBF5 when she's particularly angry at whoever she's talking to. NoLegs merely snarls (the name explains why) while the other humans resort to a different gesture.
- RWBY: Neon Katt does this as part of her taunting strategy against Yang to keep her angry during the Vytal Festival.
- Ariel does it in Drowtales as she leaves her "room" (really a cell that was formerly used to hold disobedient slaves). The author is French-Canadian.
- In their introduction in Ignition Zero, Neve does this to show that they're immature.
- Tiny Toon Adventures: Appeared in the They Might Be Giants "Istanbul (not Constantinople)" video of the music video episode. Considering how the episode was sourced to TMS Entertainment, it may have been thrown in by the animators and kept.
- In Teen Titans, when Control Freak has been bested by the Titans East, he cries foul, zaps himself into the TV and departs with this gesture, leaving the Titans East to try and figure out what the hell just happened.
- The Steven Universe episode "Friend Ship" has Steven do it towards Peridot while the two are arguing. Peridot returns the favor as she makes her escape.
- My Little Pony: Friendship Is Magic: Limestone Pie does this in the season 5 episode "Hearthbreakers".
- Clover from Totally Spies! has done this a couple of times.
- When meeting Samurai Jack for the first time, the Scotsman does a tiny bit of this ("worm-eyed") near the end of his twenty-second long insult.


Configuration
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- GeneralPreferenceFragment() - Constructor for class org.buildmlearn.appstore.activities.SettingsActivity.GeneralPreferenceFragment
-
- getActiveCount() - Method in class org.buildmlearn.appstore.models.SpellingsModel
-
- getAnswer() - Method in class org.buildmlearn.appstore.models.Card
-
- getAnswerOption() - Method in class org.buildmlearn.appstore.models.Question
-
- getAuthor() - Method in class org.buildmlearn.appstore.models.FlashModel
-
- getCategoriesList() - Static method in class org.buildmlearn.appstore.models.CategoriesCard
-
- getCount() - Method in class org.buildmlearn.appstore.adapters.FullScreenImageAdapter
-
Gets the count of the total images which is to be loaded.
- getCount() - Method in class org.buildmlearn.appstore.adapters.ViewPagerAdapter
-
This method return the Number of tabs for the tabs Strip
- getCustomCursor() - Method in class org.buildmlearn.appstore.activities.NavigationActivity
-
Gets the cursor position for the search suggestions.
- getDescription() - Method in class org.buildmlearn.appstore.models.WordModel
-
- getDomElement(String) - Method in class org.buildmlearn.appstore.utils.XMLParser
-
Gets the Document object from the xml string.
- getElementValue(Node) - Method in class org.buildmlearn.appstore.utils.XMLParser
-
Gets the element value of the node.
- getHint() - Method in class org.buildmlearn.appstore.models.Card
-
- getHtmlComment() - Method in class org.buildmlearn.appstore.activities.AppDetails
-
This method build the HTML content which needs to be loaded to the reviews section.
- getImageLoader() - Method in class org.buildmlearn.appstore.utils.VolleySingleton
-
Gets the ImageLoader instance of the Volley
- getImagePath() - Method in class org.buildmlearn.appstore.models.Card
-
- getIndicatorColor(int) - Method in interface org.buildmlearn.appstore.utils.SlidingTabLayout.TabColorizer
-
- getIndicatorColor(int) - Method in class org.buildmlearn.appstore.utils.SlidingTabStrip.SimpleTabColorizer
-
Gets the indicator color for thr tabs.
- getInfoAuthor() - Method in class org.buildmlearn.appstore.models.InfoModel
-
- getInfoMap() - Method in class org.buildmlearn.appstore.models.InfoModel
-
- getInfoName() - Method in class org.buildmlearn.appstore.models.InfoModel
-
- getInstance() - Static method in class org.buildmlearn.appstore.models.FlashModel
-
- getInstance() - Static method in class org.buildmlearn.appstore.models.InfoModel
-
- getInstance() - Static method in class org.buildmlearn.appstore.models.QuizModel
-
- getInstance() - Static method in class org.buildmlearn.appstore.models.SpellingsModel
-
- getInstance(Context) - Static method in class org.buildmlearn.appstore.utils.VolleySingleton
-
Gets the instance of the Volley
- getItem(int) - Method in class org.buildmlearn.appstore.adapters.ViewPagerAdapter
-
This method return the fragment for the every position in the View Pager
- getItemCount() - Method in class org.buildmlearn.appstore.adapters.CardCategoriesAdapter
-
Gets the total number of cards which is populated
- getItemCount() - Method in class org.buildmlearn.appstore.adapters.CardViewAdapter
-
Gets the total number of app-cards which is populated
- getItemCount() - Method in class org.buildmlearn.appstore.adapters.CategoriesAdapter
-
Gets the total number of cards which is populated
- getItemCount() - Method in class org.buildmlearn.appstore.adapters.MyAppsViewAdapter
-
Gets the total number of app-cards which is populated
- getItemOffsets(Rect, View, RecyclerView, RecyclerView.State) - Method in class org.buildmlearn.appstore.utils.SpacesItemDecoration
-
Gets the offsets.
- getList() - Method in class org.buildmlearn.appstore.models.FlashModel
-
- getListTitleList() - Method in class org.buildmlearn.appstore.models.InfoModel
-
- getName() - Method in class org.buildmlearn.appstore.models.FlashModel
-
- getOptionNumber() - Method in class org.buildmlearn.appstore.models.Question
-
- getPageTitle(int) - Method in class org.buildmlearn.appstore.adapters.ViewPagerAdapter
-
This method return the titles for the Tabs in the Tab Strip
- getProgressValue(int) - Method in class org.buildmlearn.appstore.activities.SpellingActivity
-
Gets the value of the seek-bar to represent the speech synthesis.
- getPuzzleAuthor() - Method in class org.buildmlearn.appstore.models.SpellingsModel
-
- getPuzzleName() - Method in class org.buildmlearn.appstore.models.SpellingsModel
-
- getQueAnsList() - Method in class org.buildmlearn.appstore.models.QuizModel
-
- getQuestion() - Method in class org.buildmlearn.appstore.models.Card
-
- getQuestion() - Method in class org.buildmlearn.appstore.models.Question
-
- getQuizAuthor() - Method in class org.buildmlearn.appstore.models.QuizModel
-
- getQuizName() - Method in class org.buildmlearn.appstore.models.QuizModel
-
- getSpellingsList() - Method in class org.buildmlearn.appstore.models.SpellingsModel
-
- getTotalCorrect() - Method in class org.buildmlearn.appstore.models.QuizModel
-
- getTotalCorrect() - Method in class org.buildmlearn.appstore.models.SpellingsModel
-
- getTotalWrong() - Method in class org.buildmlearn.appstore.models.QuizModel
-
- getTotalWrong() - Method in class org.buildmlearn.appstore.models.SpellingsModel
-
- getValue(Element, String) - Method in class org.buildmlearn.appstore.utils.XMLParser
-
Gets the value of the item from the Document object.
- getWord() - Method in class org.buildmlearn.appstore.models.WordModel
-
- getXmlFromUrl(String) - Method in class org.buildmlearn.appstore.utils.XMLParser
-
It gets xml form a given url.


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Up: Language Binding
Next: C Binding Issues
Previous: Language Binding
All MPI names have an MPI_ prefix, and all characters are capitals.
Programs must not declare variables or functions with names beginning with
the prefix, MPI_. This is mandated to avoid possible name collisions.
All MPI Fortran subroutines have a return code in the last argument. A few
MPI operations are functions, which do not have the return code argument.
The return code value for successful completion is MPI_SUCCESS.
Other error
codes are implementation dependent; see
Chapter MPI Environmental Management
.
Handles are represented in Fortran as INTEGERs. Binary-valued
variables are of type LOGICAL.
Array arguments are indexed from one.
Unless explicitly stated, the MPI F77
binding is consistent with ANSI standard Fortran 77.
There are several points where this standard diverges from the
ANSI Fortran 77 standard.
These exceptions are consistent with common practice in the Fortran
community. In particular:
- MPI identifiers are limited to thirty, not six, significant characters.
- MPI identifiers may contain underscores after the first character.
- An MPI subroutine with a choice argument may be
called with different argument types.
An example is shown in Figure 1
. This violates the letter
of the Fortran standard, but such a violation is common practice. An
alternative would be to have a separate version of MPI_SEND
for each data type.
- Although not required, it is strongly suggested that named MPI
constants ( PARAMETERs)
be provided in an include file, called mpif.h. On systems
that do not support include files, the implementation should specify the
values of named constants.
- Vendors are encouraged to provide type declarations in
the mpif.h file on Fortran systems that
support user-defined types. One should
define, if possible, the type MPI_ADDRESS,
which is an INTEGER
of the size needed to hold an address in the execution environment.
On systems where type definition is not supported, it is up to the user to use
an INTEGER of the right kind to represent addresses (i.e.,
INTEGER*4 on a 32 bit machine, INTEGER*8 on a 64 bit machine, etc.).
double precision a
integer b
...
call MPI_send(a,...)
call MPI_send(b,...)
Figure 1: An example of calling a routine with mismatched formal
and actual arguments.
All MPI named constants can be used
wherever an entity declared with the PARAMETER attribute can be
used in Fortran.
There is one exception to this rule: the MPI constant
MPI_BOTTOM (section Address and extent functions
) can only be
used as a buffer argument.
Up: Language Binding
Next: C Binding Issues
Previous: Language Binding
Return to MPI 1.1 Standard Index
Return to MPI-2 Standard Index
Return to MPI Forum Home Page
MPI-1.1 of June 12, 1995
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