Google Earth Enterprise Documentation Home | Fusion resources and projects
Google Maps raster background
Creating a Google Maps raster background for your vector data is useful to speed up processing times for large globes. Trying to create a vector-only globe can result in very long processing times. For example, building an ocean or a large continent using only vector data can take weeks or months. Instead, you can use Google Maps raster data to create a basic 2D background in either Mercator or Flat projection, then you can add vector layers like roads, cities, and borders.
Overview of steps
These are the main steps to create a Google Maps raster background:
- Set up your computer.
- Obtain the data.
- Create the blue background tiles.
- Add the vector data.
- Create the resource and project.
To create a Google Maps raster background:
The instructions below show how to create the raster background starting with the NASA 500-meter base. At this resolution, shorelines pixelate slightly at higher zoom levels. If you want a finer shoreline, you can start with a higher resolution base or re-sample the 500-meter base with increased resolution.
- Set up your computer:
- Make sure you have at least 20 GBs of hard disk space.
- Make sure you have all the GDAL binaries. Fusion installs
gdal_translate
andgdal_rasterize
, but Fusion doesn't include thegdal_merge
script. To obtaingdal_merge
, download the latest GDAL binaries from the GDAL site or download FWTools and install it in your/usr/local
directory. FWTools includes all the GDAL binaries and a few other useful tools.
- If you want to view the resulting tiles before you fuse them with Fusion, install GIMP on your Linux machine.
- Make sure you have at least 20 GBs of hard disk space.
- Obtain the data:
- Download the A1 file that's in the Nasa Blue Marble July data set from https://visibleearth.nasa.gov/view_cat.php?categoryID=1484. You can also download the BlueMarble A1 file from an HTTP mirror of the BlueMarble site at the Arctic Region Supercomputing Center at http://mirrors.arsc.edu/nasa/world_500m/.
Note: There are eight files, named A1, A2, B1, B2, C1, C2, D1, and D2. Download the A1 file only. The A1 tile represents the top left corner of the globe, D2 is the bottom right, and so on.You'll generate the remaining seven tiles later.
- Georeference the A1 file data:
gdal_translate -a_srs WGS84 -a_ullr -180 90 -90 0 world.topo.bathy.200407 .3x21600x21600.A1.png world.topo.bathy.200407.3x21600x21600.A1.tif
- Download the shoreline dataset from: http://www.ngdc.noaa.gov/mgg/shorelines/gshhs.html. This dataset is in a single
.zip
file that expands into several directories namedc
,l
,i
,h
andf
. The lowest resolution is in thec
directory and the highest is in thef
directory. There are four shapefiles in each directory:
L1 = shorelines
L2 = lakes and rivers
L3 = islands in lakes
L4 = ponds within islands in lakes
- Download the A1 file that's in the Nasa Blue Marble July data set from https://visibleearth.nasa.gov/view_cat.php?categoryID=1484. You can also download the BlueMarble A1 file from an HTTP mirror of the BlueMarble site at the Arctic Region Supercomputing Center at http://mirrors.arsc.edu/nasa/world_500m/.
- Create the blue background tiles:
- Create the A1 tile for the ocean in the right size and in the Google Maps shade of blue. The NASA
.tif
geospatial image file is already the right size, so you can just edit its color layers to create a tile with the Google Maps RGB value of 153,179,204:
gdal_translate -b 1 -scale 0 255 153 153 world-topo-bathy-200407-3x21600x21600-A1.tif red.tif
gdal_translate -b 1 -scale 0 255 179 179 world-topo-bathy-200407-3x21600x21600-A1.tif green.tif
gdal_translate -b 1 -scale 0 255 204 204 world-topo-bathy-200407-3x21600x21600-A1.tif blue.tif
- Merge the layers to form a 3-band
.tif
file calledGoogleBlueA1.tif:
/usr/local/FWTools-2.0.6/bin_safe/gdal_merge.py -o GoogleBlueA1.tif -separate red.tif green.tif blue.tif
- Make a copy of this blue tile to use later:
cp GoogleBlueA1.tif GoogleBlue.tif
- Create the remaining 7 blue tiles by using
gdal_translate
and inserting the appropriate corner coordinates:
gdal_translate -a_ullr -180 0 -90 -90 GoogleBlue.tif GoogleBlueA2.tif
gdal_translate -a_ullr -90 90 0 0 GoogleBlue.tif GoogleBlueB1.tif
gdal_translate -a_ullr -90 0 0 -90 GoogleBlue.tif GoogleBlueB2.tif
gdal_translate -a_ullr 0 90 90 0 GoogleBlue.tif GoogleBlueC1.tif
gdal_translate -a_ullr 0 0 90 -90 GoogleBlue.tif GoogleBlueC2.tif
gdal_translate -a_ullr 90 90 180 0 GoogleBlue.tif GoogleBlueD1.tif
gdal_translate -a_ullr 90 0 180 -90 GoogleBlue.tif GoogleBlueD2.tif
- Create the A1 tile for the ocean in the right size and in the Google Maps shade of blue. The NASA
- Add the vector data:
- The shoreline data creates the continents, and the lake data creates the lakes within the continents. These instructions use the h level of resolution from the shoreline data set because the blue marble is only in 500-meter resolution. If you re-sample the blue marble to a higher resolution, you might want to use one of the higher-resolution shorelines.
The L1 layer for shorelines uses the RGB value for Google Maps land areas, which is 242,239,233. The L2 layer for the lakes uses the same RGB value as the ocean (153,179,204).
 These instructions use the h level of resolution from the shoreline data set because the blue marble is only in 500-meter resolution. If you re-sample the blue marble to a higher resolution, you might want to use one of the higher-resolution shorelines.
- Create the resource and project:
- Create a single imagery resource from these eight tiles, then create an imagery project that contains this resource and nothing else.
- Use this imagery project for your 2D map. You can also create a Mercator resource and project out of these same tiles.
- Create a single imagery resource from these eight tiles, then create an imagery project that contains this resource and nothing else.


Pirate (ARRR) is a cryptocurrency that solves the issue of financial privacy on the blockchain through forced anonymous transactions. Protect your wallet and transactions with Pirate’s completely anonymous network. With forced private transactions, your privacy cannot be compromised by another users’ activity on the network. If you wish to learn more, please join the official Pirate Discord at https://pirate.black/discord/ or message FishyGuts#5085, who will be happy to help out.
100 messages
Before 05-Dec-19 12:00 AM
Waldemar21-Oct-18 10:58 PM
ok, thanks
jl777c21-Oct-18 10:59 PM
even GPU would have a hard time mining when 100Msols
ComputerGenie 👴👴👴21-Oct-18 11:00 PM
my GPUs were so pointless that I stuck them back on KMD
23x 1080Ti .... duration: 4 days.... blocks: 0
If you GPU mine PIRATE, never do it solo; always point them at a public pool
A NOMP based stratum for the Komodo platform. Contribute to webworker01/knomp development by creating an account on GitHub.
sclear21-Oct-18 11:11 PM
@jl777c That is indeed the architecture, separate servers for the bot and daemon
Queueing will be much improved in the coming days
Per-user and overall
jl777c21-Oct-18 11:11 PM
oh, so the errors about pending is just precautionary
sclear21-Oct-18 11:11 PM
Yes
ComputerGenie 👴👴👴21-Oct-18 11:13 PM
@Microbeguy86 I did, shortly, consider a public solo pool
The problem with them is fielding all of the complaints by people that don't understand what they are and want to know why they didn't get paid for shares that were not block finds
isn't exactly a "people person"
Microbeguy8621-Oct-18 11:15 PM
Yeah you would think the word solo would indicate the purpose. Thanks for the responses
Hollowman900021-Oct-18 11:32 PM
“Isn’t exactly a “people person” “
I am shaking rn, absolutely floored
@ComputerGenie 👴👴👴 bro due to unable to attach screenshot I send dm to u
ComputerGenie 👴👴👴22-Oct-18 03:59 AM
@damodar you have balances in that image you dmed me, no clue what you're on about
damodar22-Oct-18 04:00 AM
For 9hrs got 14arrr is it normal bro
ComputerGenie 👴👴👴22-Oct-18 04:03 AM
Paid:<PHONE_NUMBER>3
You tell me what's "normal"
bro
diff is double yesterday, which means you could likely earn 1/2 of what you earned yesterday
depends on what hash is where
damodar22-Oct-18 04:09 AM
Iam mining since 4 days I added 100khs for 1day from NH that’s the reason it is 641. But for first day I mined completely with 30khs . Got 180arrr
ComputerGenie 👴👴👴22-Oct-18 04:15 AM
Network Hash Rate: 95.35 MH
pool:28.66 MSol/s (Avg)
So, pool should average<PHONE_NUMBER>787402 per day (at the given 95.35 M network rate; more if networks goes lower, less if network goes higher)
I leave the rest of the math up to you(edited)
Wait… is this a joke? Is it a scam?
Neither! This is real—and it's 100% transparent. You're literally giving your money to someone on the internet and getting completely useless cryptocurrency in return.
Will PIRATE be traded on any exchanges?
I hope so. You have no idea how much I hope so.
In fact, if it does get picked up by any of the major exchanges, I promise to use some of the PIRATE proceeds to constantly and incessantly manipulate the market.
NutellaLicka22-Oct-18 07:03 AM
@jansako it could be because the pool hash's have lag and are a running average. So these won't always equal to the total network hash rate
@DR3WSKi#deleted-channel is the planned ztransaction only cex that is in development that will support ARRR-->KMD--->ARRR trading
DR3WSKi22-Oct-18 07:14 AM
@NutellaLicka I know, that was posted in the pirate cash website listed above in bitcointalk
can you just check ONE url or so before saying something like this, i would really appreciate that, thank you
it's probably more the case that we both actually do have these numbers, but the nethash may be just off. i'm still unsure how much 'weight' that nethash number has, it doesnt' seem to be much more than a 'loose hint'(edited)
jl777c22-Oct-18 07:25 AM
there is already a PIRATE copycat coin, it just has no tech
0x0322-Oct-18 07:28 AM
maybe i'm mining that on my pool instead of the real thing (edited)
1
Flexatron22-Oct-18 07:30 AM
Lmao
duxiaoer22-Oct-18 07:35 AM
pirate just support Z address？
jl777c22-Oct-18 07:35 AM
only zaddr
0x0322-Oct-18 07:39 AM
hmmm... with the copycat coin... so that means hightech pirates and lowtech pirates are a thing now?
rule 34
duxiaoer22-Oct-18 07:44 AM
I can not Create a wallet
why
rrrj28822-Oct-18 07:47 AM
Saw you selling 100k in OTC, Where the he'll did you coins come from if you don't even have a wallet ?
duxiaoer22-Oct-18 07:49 AM
I am creating a new wallet
now it is ok
the 100K coins come from my friend，he lets me ask in here
our block rewards will be halved At which height
jl777c22-Oct-18 07:54 AM
388885
Flexatron22-Oct-18 08:05 AM
@duxiaoer 13K KMD sent.
1
jansako22-Oct-18 08:06 AM
@0x03 IF there was indeed an issue would it not be more likely that the pool which reports that it owns the whole coin hashrate would be the one having the issue? Nothing personal, + my hash has been on your pool since the beginning, so forgive me if I am concerned about that one a bit more. Understood about wonky nethash numbers though.
0x0322-Oct-18 08:07 AM
nothing personal as well
i just dont want another pool fight day today
verus-sunday was enough for me
i remember before it was the other way around, where .io had most of the hash (around nethash) and it looked like my numbers were just missing
so, at this point in time it's nothing that really concerns me
we're finding the blocks on the right chain, the payouts work (slow, but they do). the stats output "isn't building up a queue as it seems", i feel good about the status of .xyz
this whole z-only thing is a bit experimental from my pool-point of view. but the hashrate display on the pool web UI is just taken from the daemons api call
duxiaoer22-Oct-18 08:16 AM
When is the block reward halved?
@jl777c
Flexatron22-Oct-18 08:17 AM
388885
After christ
duxiaoer22-Oct-18 08:18 AM
we can not send picture?
my wallet is always loading data
why
unable to eatablish RPC connection!
this is why
Flexatron22-Oct-18 08:28 AM
Firewall?
duxiaoer22-Oct-18 08:34 AM
It has already been synchronized by 7%, and then the program is closed, and it do not work when I open again.
jansako22-Oct-18 08:54 AM
That one is a 'known issue' with Agama wallet. The only sure-fire way (that I know of) to resolve is to back up your wallet, then delete the folder the wallet was in. Put the wallet.dat back and restart Agama.
Flexatron22-Oct-18 09:07 AM
Arrr pool going ham
jl777c22-Oct-18 09:38 AM
is there a fourth pool? if so, it should be listed on pirate.black
i was thinking about limiting my pool to a maximum number of miners (also maybe workers) in order to 'force spread' hashrate, i think that could be done, looking for comments on the idea. so far it was just a thought.


Go to the demo questionnaire and fill out the brief survey.
Create a new RStudio project for your data input apps.
Copy the following code to a new file and save it as app.R
in a new directory in this project named inputdemo
. Also create a directory named responses
inside the inputdemo
directory. Run the app with runApp('inputdemo')
.
library(shiny)
library(ggplot2)
outputDir <- "responses"
# Define the fields we want to save from the form
fields <- c("name", "used_shiny", "r_num_years")
saveData <- function(input) {
# put variables in a data frame
data <- data.frame(matrix(nrow=1,ncol=0))
for (x in fields) {
var <- input[[x]]
if (length(var) > 1 ) {
# handles lists from checkboxGroup and multiple Select
data[[x]] <- list(var)
} else {
# all other data types
data[[x]] <- var
}
}
data$submit_time <- date()
# Create a unique file name
fileName <- sprintf(
"%s_%s.rds",
as.integer(Sys.time()),
digest::digest(data)
)
# Write the file to the local system
saveRDS(
object = data,
file = file.path(outputDir, fileName)
)
}
loadData <- function() {
# read all the files into a list
files <- list.files(outputDir, full.names = TRUE)
if (length(files) == 0) {
# create empty data frame with correct columns
field_list <- c(fields, "submit_time")
data <- data.frame(matrix(ncol = length(field_list), nrow = 0))
names(data) <- field_list
} else {
data <- lapply(files, function(x) readRDS(x))
# Concatenate all data together into one data.frame
data <- do.call(rbind, data)
}
data
}
deleteData <- function() {
# Read all the files into a list
files <- list.files(outputDir, full.names = TRUE)
lapply(files, file.remove)
}
resetForm <- function(session) {
# reset values
updateTextInput(session, "name", value = "")
updateCheckboxInput(session, "used_shiny", value = FALSE)
updateSliderInput(session, "r_num_years", value = 0)
}
ui <- fluidPage(
# App title ----
titlePanel("Data Collection & Feedback"),
# Sidebar layout with input and output definitions ----
sidebarLayout(
# Sidebar panel for inputs ----
sidebarPanel(
textInput("name", "Name", ""),
checkboxInput("used_shiny", "I've built a Shiny app before", FALSE),
sliderInput("r_num_years", "Number of years using R",
0, 10, 0, ticks = FALSE),
actionButton("submit", "Submit"),
actionButton("clear", "Clear Form"),
downloadButton("downloadData", "Download"),
actionButton("delete", "Delete All Data")
),
# Main panel for displaying outputs ----
mainPanel(
plotOutput(outputId = "yearsPlot"),
tags$hr(),
dataTableOutput("responses")
)
)
)
server = function(input, output, session) {
# When the Submit button is clicked, save the form data
observeEvent(input$submit, {
saveData(input)
resetForm(session)
})
observeEvent(input$clear, {
resetForm(session)
})
# When the Delete button is clicked, delete all of the saved data files
observeEvent(input$delete, {
deleteData()
})
# Show the previous responses in a reactive table ----
output$responses <- renderDataTable({
# update with current response when Submit or Delete are clicked
input$submit
input$delete
loadData()
})
# Downloadable csv of selected dataset ----
output$downloadData <- downloadHandler(
filename = "data.csv",
content = function(file) {
write.csv(loadData(), file, row.names = FALSE, quote= TRUE)
}
)
output$yearsPlot <- renderPlot({
input$submit
input$delete
data <- loadData()
ggplot(data) +
geom_histogram(
aes(r_num_years),
binwidth = 1,
color = "black",
fill = "white"
) +
scale_x_continuous(
name = "Number of years using R",
breaks = 0:10,
limits = c(-0.5, 10.5)
) +
theme_minimal() +
theme(
text = element_text(family = "Helvetica", size = 20),
plot.background = element_rect(fill = "white"),
panel.grid = element_blank(),
axis.title.y = element_blank()
)
})
}
shinyApp(ui, server)
This framework gives you a full-page questionnaire with no feedback panel. You can use this framework or the one above.
library(shiny)
library(ggplot2)
outputDir <- "responses"
# Define the fields we want to save from the form
fields <- c("text_demo",
"select_demo",
"password_demo",
"textarea_demo",
"slider_demo",
"checkbox_demo",
"cbgroup_demo",
"date_demo",
"daterange_demo",
"number_demo")
saveData <- function(input) {
# put variables in a data frame
data <- data.frame(matrix(nrow=1,ncol=0))
for (x in fields) {
var <- input[[x]]
if (length(var) > 1 ) {
# handles lists from checkboxGroup and multiple Select
data[[x]] <- list(var)
} else {
# all other data types
data[[x]] <- var
}
}
data$submit_time <- date()
# Create a unique file name
fileName <- sprintf(
"%s_%s.rds",
as.integer(Sys.time()),
digest::digest(data)
)
# Write the file to the local system
saveRDS(
object = data,
file = file.path(outputDir, fileName)
)
}
loadData <- function() {
# read all the files into a list
files <- list.files(outputDir, full.names = TRUE)
if (length(files) == 0) {
# create empty data frame with correct columns
field_list <- c(fields, "submit_time")
data <- data.frame(matrix(ncol = length(field_list), nrow = 0))
names(data) <- field_list
} else {
data <- lapply(files, function(x) readRDS(x))
# Concatenate all data together into one data.frame
data <- do.call(rbind, data)
}
data
}
# Define questions
select_demo <- selectInput(
"select_demo",
"Complete these famous lyrics:
\"I ***** ***** ***** down in Africa\"",
c("",
"bless the waves",
"sense the rain",
"bless the rain",
"guess it rains"
)
)
radio_demo <- radioButtons(
"radio_demo",
"Do you like Toto?",
c("yes", "no"),
inline = TRUE
)
checkbox_demo <- checkboxInput("checkbox_demo", "I consent to more 80s music references")
cbgroup_demo <- checkboxGroupInput(
"cbgroup_demo",
"Which artists had a UK number one single in the 80s?",
c("Pat Benatar" = "pb",
"Toto" = "toto",
"Blondie" = "blon", # atomic 1980-03-01
"Kraftwerk" = "kw", # computer love 1982-02-06
"Dog Faced Hermans" = "dfh",
"Eurythmics" = "eur", # there must be an angel 1985-07-27
"T'Pau" = "tpau" # china in your hand 1987-11-14
)
)
number_demo <- numericInput(
"number_demo",
"How many UK number one songs did Madonna have in the 80s?",
min = 0, max = 20, step = 1, value = 0 # answer = 6
)
slider_demo <- sliderInput(
"slider_demo",
"How would you rate the 80s musically, on a scale from 0-100?",
min = 0, max = 100, step = 1, value = 50
)
date_demo <- dateInput(
"date_demo",
"Africa by Toto reached its peak position of #3 in the UK charts on what date?",
min = "1980-01-01", max = "1989-12-31", startview="decade"
# right answer is 1983-02-26
)
daterange_demo <- dateRangeInput(
"daterange_demo",
"What was the full UK Top 100 chart run of Africa by Toto?",
min = "1980-01-01", max = "1989-12-31", startview="decade"
# right answer is 1983-01-29 to 1983-04-09
)
text_demo <- textInput("text_demo", "What is your favourite 80s band?")
textarea_demo <- textAreaInput("textarea_demo", "What do you think about this exercise?")
password_demo <- passwordInput("password_demo", "Tell me a secret.")
action_demo <- actionButton("clear", "Clear Form")
download_demo <- downloadButton("download", "Download")
file_demo <- fileInput("file_demo", "Upload a PDF", accept = "pdf")
help_demo <- helpText("You can write help text in your form this way")
resetForm <- function(session) {
updateTextInput(session, "text_demo", value = "")
updateSelectInput(session, "select_demo", selected=character(0))
updateRadioButtons(session, "radio_demo", selected = "yes")
updateCheckboxInput(session, "checkbox_demo", value = FALSE)
updateCheckboxGroupInput(session, "cbgroup_demo", selected=character(0))
updateTextAreaInput(session, "textarea_demo", value = "")
updateTextInput(session, "password_demo", value = "")
updateSliderInput(session, "slider_demo", value = 50)
updateDateInput(session, "date_demo", value = NA)
updateDateRangeInput(session, "daterange_demo", start = NA, end = NA)
updateNumericInput(session, "number_demo", value = 0)
}
# Set up questionnaire interface ----
ui <- fluidPage(
title = "Questionnaire Framework",
# CSS ----
# stop the default input containers being 300px, which is ugly
tags$head(
tags$style(HTML("
.shiny-input-container:not(.shiny-input-container-inline) {
width: 100%;
max-width: 100%;
}
"))
),
# App title ----
h3("My Survey"),
p("Please fill out the following brief survey..."),
fluidRow(
column(width=6, text_demo),
column(width=6, password_demo)
),
fluidRow(
column(width=4,
select_demo,
radio_demo,
checkbox_demo
),
column(width=4,
cbgroup_demo
),
column(width=4,
number_demo
)
),
slider_demo,
date_demo,
daterange_demo,
textarea_demo,
actionButton("submit", "Submit"),
action_demo
)
# Reactive functions ----
server = function(input, output, session) {
# When the Submit button is clicked, save the form data
observeEvent(input$submit, {
saveData(input)
resetForm(session)
# thank the user
n_responses <- length(list.files(outputDir))
response <- paste0("Thank you for completing the survey! You are respondant ",
n_responses, ".")
showNotification(response, duration = 0, type = "message")
})
# clear the fields
observeEvent(input$clear, {
resetForm(session)
})
}
shinyApp(ui, server)
In the section for data input (sidebarPanel
or fluidRow
), you can add a widget for each question, then some action buttons for submitting the data or other actions. The Shiny Widgets Gallery is a useful reference for choosing the right input widgets for your questions.
saveData <- function(input) {
# put variables in a data frame
data <- data.frame(matrix(nrow=1,ncol=0))
for (x in fields) {
var <- input[[x]]
if (length(var) > 1 ) {
# handles lists from checkboxGroup and multiple Select
data[[x]] <- list(var)
} else {
# all other data types
data[[x]] <- var
}
}
data$submit_time <- date()
# Create a unique file name
fileName <- sprintf(
"%s_%s.rds",
as.integer(Sys.time()),
digest::digest(data)
)
# Write the file to the local system
saveRDS(
object = data,
file = file.path(outputDir, fileName)
)
}
Use the observeEvent
function to define what happens when you click the submit button. It goes inside the server function. The following code handles multiple selections and checkbox groups (which are very tricky to store in a table) and adds a submit_time column.
# When the Submit button is clicked, save the form data
observeEvent(input$submit, {
saveData(input)
resetForm(session)
})
You’re done with a basic questionnaire at this point if you don’t want to give feedback to the participant. If you aren’t showing feedback, you can reassure the user that their response was submitted with code like showNotification(response, duration = 0, type = "message")
.
First, you need to create a function for loading and conatenating all of the previously saved data files.
loadData <- function() {
# read all the files into a list
files <- list.files(outputDir, full.names = TRUE)
if (length(files) == 0) {
# create empty data frame with correct columns
field_list <- c(fields, "submit_time")
data <- data.frame(matrix(ncol = length(field_list), nrow = 0))
names(data) <- field_list
} else {
data <- lapply(files, function(x) readRDS(x))
# Concatenate all data together into one data.frame
data <- do.call(rbind, data)
}
data
}
Then, you can write a function that displays feedback calculated from the loaded data. This feedback shows an interactive table of all the collected data, whenever the submit or detele buttons are pressed.
# Show the previous responses in a reactive table ----
output$responses <- renderDataTable({
# update with current response when Submit or Delete are clicked
input$submit
input$delete
loadData()
})
If you don’t have access to an R server, you can sign up for a free account at shinyapps.io. Get your token and secret and add them to the code below.
rsconnect::setAccountInfo(
name='my-username',
token='my-token',
secret='my-secret'
)
rsconnect::deployApp("inputdemo")


Love Island Christmas reunion 'cancelled' as stars accuse ITV of ignoring them
The Love Island Christmas special has been axed this year - as ITV bosses gear up for the new winter series taking place in January
by Emmeline SaundersThis year's Love Island Christmas reunion won't be going ahead as ITV bosses have quietly axed the one-off special.
Every year since Caroline Flack brought back the series in 2015 has seen the stars of the summer show get together again for a special December episode.
The reunion shows are usually full of drama as warring exes who have been slating each other over Twitter and Instagram set eyes on each other for the first time since leaving Majorca.
But this year the cast of Love Island 2019 won't get their highly anticipated reunion - amid claims ITV producers have been ignoring them.
"The cast don't think there are any plans for a Christmas reunion like last year, but they haven't been given a straight answer," an insider told OK! Online .
"A few of the islanders have seen the producers since leaving the villa and there was a bit of a reunion at the ITV Palooza last week and the topic was brought up but quickly shut down.
"Questions were asked about the possibility of an on-screen reunion, but they were all ignored by producers."
Ouch.
With a brand new winter version of the show on the horizon, it's no wonder ITV would want to focus on the upcoming cast, who will be filming in South Africa with Cazza for a series airing in January.
Next year, for the first time, two editions of Love Island will air, and the winter cast has already been picked.
While an official date hasn't been confirmed, the show's reportedly set for a comeback very soon into the new year - on January 8, 2020.
According to MailOnline , those who work on the show will be jetting out on New Year's Day.
Insiders told the publication: "The new Winter Love Island will launch the second week of January.
"Bosses are still deciding on the final date but it is thought to be 8th January - a week after staff arrive in South Africa."
The sources added that two weeks will be trimmed off the summer edition's run time - meaning it would run for six rather than eight weeks.
"It has been decided that the show will run six weeks instead of the usual eight," they said.
"The new cast of singletons fly out just days before the launch but bosses work with test Islanders to uncover the best spots in the villa to create drama."


Physically the smallest of the Turtles and the least mature. Mikey is easily distracted and enthusiastic about... well, pretty much everything. He's also extremely creative. He has a thousand ideas, and every now and then, one of them will be brilliant. This combination of creativity and lack of focus gives him a kind of flow that the other Turtles cannot match. He's a social mutant and more than the others, pines to be part of the real world.
Impulsive, creative and very social, Michelangelo is the heart and soul of the Ninja Turtles. The runt of the litter, he may be the smallest of his mutant brothers, but that doesn't make him the weakest (just harder to catch). Enemies beware! Michelangelo is a master of the Kusarigama, nunchucks with a secret and sharp surprise!


|
Camera Calibration Tool - Camera Model
|
Description of the intrinsic camera model
After calibration, the intrinsic camera model may be saved into a text file by clicking on the "Save" button in the property control window. An example of such a file is CalibResult.txt:
Camera Matrix:
M[0,0]=<PHONE_NUMBER> M[0,1]= 0.0000000 M[0,2]=<PHONE_NUMBER>
M[1,0]= 0.0000000 M[1,1]=<PHONE_NUMBER> M[1,2]=<PHONE_NUMBER>
M[2,0]= 0.0000000 M[2,1]= 0.0000000 M[2,2]= 1.0000000
Distortion:
D[0]= -0.416691
D[1]= 0.250142
D[2]= -0.000386
D[3]= -0.001894
This complete intrinsic camera model is encoded with the matrix M (also known as camera matrix) and the vector D (distortion vector).
Definition of the intrinsic parameters:
Let us make slight changes in notation: (numerical values are included for clarity purposes only - when running calibration on your camera, you will naturally obtain a different set of numerics)
-
Focal length: The focal length in pixels is the 2x1 vector fc = [ M[0,0] ; M[1,1] ] = [286.3 ; 287.8].
-
Principal point: The principal point in pixels is the 2x1 vector cc = [ M[0,2] ; M[1,2] ] = [156.7 ; 131].
-
Skew coefficient: The skew coefficient related to the angle between the x and y pixel axes is the scalar s = M[0,1] = 0.
-
Distortion: The image distortion coefficients
are k1 = D[0] = -0.416691, k2 = D[1] = 0.250142, p1 = D[2] = -0.000386 and p2 = D[3] = -0.001894. The coefficients k1 and k2 are associated to radial distortions (up to the fourth order), and p1 and p2 are associated to tangential distortions.
A zero skew (s=0) means that the pixels are rectangular on the
sensor. In that present release of the calibration software, the
camera model will always assume rectangular pixels (or zero
skew). This assumption is valid for most current imaging sensors. In future
releases, a complete estimation of the skew coefficient will be included.
The next section provides detailed definitions of the entire set of intrinsic parameters.
Description of the pixel projection operator:
Let us make slight changes in notation: (numerical values are included for clarity purposes only - when running calibration on your camera, you will naturally obtain a different set of numerics)
Let P be a point in space of coordinate vector XXc
= [Xc;Yc;Zc] in the camera reference
frame.
Let us project now that point on the image plane according to the intrinsic
parameters (fc,cc,s,k1,k2,p1,p2).
Let xn be the normalized (pinehole) image projection:
Let r2 = x2 + y2.
After including lens distortion, the new normalized point coordinate
xd
is defined as follows:
|
xd
|
=
|
|
|
|
=
|
(1 + k1*r2 + k2*r4) * xn + dx
|
where dx is the tangential distortion vector:
| dx |
= |
|
|
2*p1*x*y + p2*(r2 + 2*x2)
|
|
|
p1*(r2 + 2*y2) + 2*p2*x*y
|
|
|
|
It is worth noticing that this distortion model was first introduced
by Brown in 1966 and called "Plumb Bob" model (radial polynomial +
"thin prism" ). The tangential distortion is due to "decentering", or imperfect centering of the lens components and other manufacturing defects in a compound lens.
Once distortion is applied, the final pixel coordinates x_pixel = [xp;yp]
of the projection of P on the image plane is:
|
xp = fc(1)*xd(1) + s*xd(2) + cc(1)
|
|
yp = fc(2)*xd(2) + cc(2)
|
Therefore, the pixel coordinate vector x_pixel and the normalized (distorted) coordinate vector xd are related to each other through the linear equation:
where M is known as the camera matrix, and defined as follows:
Observe that this matrix is exactly the same as the one appearing in the original text file generated by the calibration tool
Notice that fc(1) and fc(2) are the focal
distance (a unique value if expressed in mm) expressed in units of horizontal and vertical
pixels. Therefore, the camera model naturally handles non-square
pixels. In addition, the coefficient s encodes the angle
between the x and y sensor axes. Consequently, this generic model allows for non-rectangular pixels (altough this release of the software does not explicitly estimate the skew coefficient - future ones will). Some authors refer to that generic type of model as
"affine distortion" model.
Convention: The pixel coordinates are defined such that [0;0] is the
upper left pixel of the image (the center of the pixel),
[nx-1;0] is the upper right corner pixel, [0;ny-1] is
the lower left corner pixel and [nx-1;ny-1] is the lower right
corner pixel where nx and ny are the width and height of
the image (for example nx=640 and
ny=480).
For more information, refer to the tutorial page on Camera Calibration and try the Matlab implementation provided with it.
Back to main camera calibration page


Galaxies class¶
This stores and manipulates data for multiple galaxies and snaps.
-
class
galaxy.galaxies.
Galaxies
(names=('MW', 'M31', 'M33'), snaps=(0, 0, 0), datadir=None, usesql=False, ptype=None, stride=1)[source]¶ A class to manipulate data for multiple galaxies.
- Kwargs:
- names (iterable of str):
short names used in filename of type ‘name_000.txt’, eg ‘MW’, ‘M31’.
- snaps (iterable of int):
Snap number, equivalent to time elapsed. Zero is starting conditions.
- datadir (str):
Directory to search first for the required file. Optional, and a default list of locations will be searched.
- usesql (bool):
If True, data will be taken from a PostgreSQL database instead of text files.
- ptype (int):
Optional. Restrict data to this particle type, for speed. Only valid with usesql=True.
- stride (int):
Optional. For stride=n, get every nth row in the table. Only valid with usesql=True.
- Class attributes:
- path (pathlib.Path object):
directory (probably) containing the data files
- filenames (list of str):
in name_snap format, something like ‘MW_000’ (no extension)
- galaxies (dict):
key is filename, value is the corresponding Galaxy object
-
read_data_files
()[source]¶ Attempts to create a Galaxy object for each name/snap combination set in self.names and self.snaps
No return value. Sets self.galaxies, a dictionary keyed on name_snap
-
get_pivot
(aggfunc, values='m')[source]¶ Generic method to make a pandas pivot table from the 9 combinations of galaxy and particle type.
- Args:
aggfunc (str): ‘count’, ‘sum’, etc as aggregation method values (str): column name to aggregate
Returns: pandas dataframe
-
get_full_df
()[source]¶ Combined data for all input files.
- Returns:
Concatenated pandas dataframe from all galaxies Includes ‘name’ and ‘snap’ columns
-
get_coms
(tolerance=0.1, ptypes=(1, 2, 3))[source]¶ Center of Mass determination for all galaxies. Defaults to all particle types, but ptypes=(2,) may be more useful.
- Args:
tolerance (float): convergence criterion (kpc)
- Returns:
QTable with COM positions and velocities colnames: [‘name’, ‘ptype’, ‘x’, ‘y’, ‘z’, ‘vx’, ‘vy’, ‘vz’, ‘R’, ‘V’]
-
separations
(g1, g2)[source]¶ Position and velocity of galaxy g2 COM relative to g1 COM. Uses only disk particles for the COM determination.
- Args:
g1, g2 (str): galaxies matching entries in self.filenames
- Returns:
Dictionary containing relative position, distance, velocities in Cartesian and radial coordinates


BMViewController
open class BMViewController<View> : UIViewController where View : UIView, View : BMViewWithViewControllerAndViewModel
Overview
A BMViewController
replaces the default UIViewController
. It manages a single screen,
and listen to the users interactions with it.
Refer to BMViewWithViewControllerAndViewModel to understand the architecture of a view.
The BMViewController
gives you access to a rootView
which is the view properly casted.
-
The rootView associated with the
BMViewController
.Declaration
Swift
public var rootView: View { get }
-
The latest
ViewModel
received by thisBMViewController
This should not be directly set. Please useupdate(to: View.VM)
.Declaration
Swift
public var viewModel: View.VM? { get set }
-
An more convenient initializer. Since we are not not using the storyboard
Declaration
Swift
public init()
-
Required init.
Declaration
Swift
required public init?(coder aDecoder: NSCoder)
-
Used to load the specific main view managed by this view controller.
Declaration
Swift
override public func loadView()
-
Called after the controller's view is loaded into memory.
Declaration
Swift
override open func viewDidLoad()
-
Called when view about to layout subviews.
Declaration
Swift
open override func viewWillLayoutSubviews()
-
Called everytime the VM needs to be updated. Should be called on the main Thread.
Declaration
Swift
public func update(to newModel: View.VM)
Parameters
newModel
The new
ViewModel
-
Called just before the update, override point for subclasses.
Declaration
Swift
open func willUpdate(new: View.VM?)
-
Called right after the update, override point for subclasses.
Declaration
Swift
open func didUpdate(old: View.VM?)
-
Asks to setup the interaction with the managed view, override point for subclasses.
Declaration
Swift
open func setupInteractions()
-
Adds a
BMViewController
and its root view toDeclaration
Swift
func add<V: BMViewWithViewControllerAndViewModel & UIView>( _ child: BMViewController<V>, to container: BMContainerView )
Parameters
child
The child view controller to add to the hierarchy.
container
The container in which the view of the child should go in.
-
Removes a
BMViewController
and its view from the parent view controller.Declaration
Swift
func remove()


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getAllOptionsOfDropdown(By)
- Static method in class com.your_project.util.
Utility
Gets the all options of dropdown.
getAttribute(By, String)
- Static method in class com.your_project.util.
Utility
Gets the attribute.
getBrowserName()
- Static method in class com.your_project.util.
Utility
Gets the browser name.
getChromeOptions()
- Static method in class com.your_project.util.
Utility
Gets the chrome options.
getClass(By)
- Static method in class com.your_project.util.
Utility
Gets the class element.
getColor(By)
- Static method in class com.your_project.util.
Utility
Gets the color of text.
getCountOfChildFiles(String)
- Static method in class com.your_project.util.
Utility
Gets the count of child files.
getCssValue(By, String)
- Static method in class com.your_project.util.
Utility
Gets the css value.
getCurrentUrl(By)
- Static method in class com.your_project.util.
Utility
Gets the current url.
getDriver()
- Static method in class com.your_project.util.
Utility
Gets the web driver.
GetElement(By)
- Static method in class com.your_project.util.
Utility
getFireFoxOptions()
- Static method in class com.your_project.util.
Utility
Gets the fire fox options.
getPageTitle(By)
- Static method in class com.your_project.util.
Utility
Gets the page title.
GetText(By)
- Static method in class com.your_project.util.
Utility
Gets the text from the element.
getValue(By)
- Static method in class com.your_project.util.
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Get value by Attribute .
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Use seq.indices instead of constructing range manually:
Before:
Range(0, seq.size)
0 until seq.size
0.to(seq.size - 1)
After:
seq.indices


Big O notation is generally used to describe the upper bound on a functions growth. In this way, it is a view on the limiting behavior of a function as the function heads towards a very large but finite value.
But why is this so important in computer science? Excellent question. Computers can only perform a limited number of calculations per second and their memory can only store a limited amount of data. Although these speed and memory limits are constantly increasing it is still very important to know how much of these resources a given program will consume. Big O notation gives us a way to talk about the worst case usage scenario for different functions. We can take many different functions for performing the same operation and classify them based on whether they will run in O(1), O(N), O(N^2), O(2^N), O(log N), etc.. After we have performed this classification we can then choose the best function/program for our particular situation.


Our Story
Menu
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resto restaurant home page website template
Menu
Voluptate cillum fugiat.
Cheese, tomato, mushrooms, onions.
$50
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Cheese, tomato, mushrooms, onions.
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Cheese, tomato, mushrooms, onions.
$50
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Cheese, tomato, mushrooms, onions.
$50
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Cheese, tomato, mushrooms, onions.
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Cheese, tomato, mushrooms, onions.
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Featured Dishes
Fugiat nulla sint
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The Gallery


SNKR WRLD's misson is to provide great quality items in the smartest way possible.
Buy the hottest sneakers, apparel, and accessories.
Everything on our website has been tested profusely to ensure authencity.
We ensure great quality shoes and apparel.
No catchy descriptions, and no fake items.
We handle everything to ensure your complete confidence when buying from SNKR WRLD.


- Project is EJB-Centric. Distributed/Multi-tier application improves Maintainability and
Extensibility.
- Communication between tiers uses HTTPS in Presentation Tier and TSL in Business Tier to improve
Security;
- Servers are available in Cluster (Symmetric mode - two nodes), in case o failure application
keeps alive.
The scenario get both types of expand possibilities, the horizontal and vertical increase;
- The architecture provides high availability system resources and maintain the quality of service
(QoS)
in case of load increases, even in the beginning the system expect a low quantity of users.
|


format_ts.hpp File Reference
Detailed Description
Include this file when you're using formatters and destinations, and you want to define the logger classes, in a source file (using BOOST_DEFINE_LOG) and you've decided to use some form of thread-safety
Copyright John Torjo © 2007
Have a question/ suggestion/ comment? Send me feedback


Website Title
Home
(current)
User Profile
Book List
source:https://randomuser.me
Name: {{userName}}
Country of Origin: {{userCountry}}
Birthdate: {{formatDate(userBirthdate)}}
Age: {{userAge}}
Email Address:
{{userEmail}}
Next User


---
layout: post
status: publish
published: true
title: 'Cốc Cốc: Senior Web Analytic/Freelancer Manager'
author:
display_name: PR Team
login: prteam
email<EMAIL_ADDRESS>url: ''
author_login: prteam
author_email<EMAIL_ADDRESS>wordpress_id: 588
wordpress_url: http://gatheringtalents.com/?p=588
date: '2012-05-12 22:27:33 +0000'
date_gmt: '2012-05-12 14:27:33 +0000'
categories:
- Developer
- Jobs
tags: []
comments: []
---
Job Description
Our company is in need of a skilled manager who will control the process of data generation and analysis for our search engine.
Responsibilities
- Manage large group of freelancer managers and their teams (30-50 people);

- Interact with developers, formulating tasks for freelancers;

- Organize the process to control the freelancers’ performance quality;

- Analyze the quality of the search engine.

Requirements
- Management skills to control a group (30-50 people) (1-2 years experience in team management);

- Analysis skill, which includes system thinking, organizational knowledge, problem identification, problem analyzing and solving;

- Good English in all 4 skills (listening, speaking, reading and writing);

- Explaination skill;

- Communication skills to be a bridge between developers and assessors/freelancers;

- Good knowledge about Internet technologies.

Advantages:
- Owning experience and knowledge about Information Retrieval (Search) Technologies;

- Good at algorithms;

- Knowing Russian is a plus;

Benefits:
- Competitive salary;

- Free lunch;

- Health support;

- Company assistance for internet and cell phone;

- Regular team building activities;

- Young and dynamic international working environment.

- Free accommodation with maid/house keeper;

- Transportation support;

- School fee for children;

Location: Hanoi, Vietnam

About us
We are a young, rapidly-growing IT company with the aim of building a Vietnamese web search engine with modern processing technology of Vietnamese language and ability to provide results based on users’ regions. Our team accumulates specialists from all over the world, combining the strength of Russian IT-gurus and talented Vietnamese. We are always glad to see new members in our company, and we enjoy overcoming new challenges together.


Click on the reaction below to see definitions in plain English
{{ symptom.term }}
({{ symptom.percentage }})
| Brand Names | Reaction Reports |
|---|---|
| {{ brand.term }} | {{ brand.count | number }} |
{{ severity.count | number }}
{{ severity.description }} adverse events


-
Print Print summary
-
Print full report Print full report
-
Download PDF Download PDF
{{content.summary}}
A handy guide to let you know where to find local statistics.


Ecosystem
Start From Scratch - polyfills and libs
Polyfills are scripts which improve browsers abilities.
For example, if you decide to use Babel to transpile
your ES6 at runtime, you're using a polyfill.
- zone.js is a library which allows to listen events and is used by the Angular detection change mechanism
-
reflect is used in to add metadata into ES5, which is needed because
Angular uses annotations to add metadata
-
typescript allows you to choose the syntax you want
for modules (AMD, CommonJS and some others).
Once generated, your browser will need a polyfill to understand
this syntax. Using
SystemJs
is a common way to do this
So to import needed libraries/polyfills, a minimal index html page imports could look like this:
<!-- polyfills and libs -->
<script<EMAIL_ADDRESS><script<EMAIL_ADDRESS><script src="https://cdnjs.cloudflare.com/ajax/libs/systemjs/0.19.27/system.js"></script>


This page shows results of compatibility tests between pytest plugins against different versions of the python interpreter.
The plugins are listed and tested automatically from PyPI. For more information, please see https://github.com/pytest-dev/plugincompat.
PyPI projects that match "pytest-*" are considered plugins.
Note: although some may appear as "broken" keep in mind that all dependencies may not be installed during testing, particularly if a dependency is too big or requires a dedicated server (such as pytest-jira, which requires a jira server, or pytest-qt, which requires PyQt or PySide, both which take a long time to install). Take the information you find here with a grain of salt, and rely on each plugin's homepage for up-to-date compatibility information.
| Name | Description | {% for python_ver in python_versions %}{{ python_ver }} | {% endfor %}
|---|---|---|
| {{ lib_name }} | {{ descriptions[lib_name]}} | {% for python_ver in python_versions %}{% if statuses.get((lib_name, python_ver, latest_pytest_ver)) == "ok" %} {% elif statuses.get((lib_name, python_ver, latest_pytest_ver)) == "fail" %} {% else %} {% endif %} | {% endfor %}
| pytest | {% for python_ver in python_versions %}{{ python_ver }} | {% endfor %}
|---|---|
| {{ pytest_ver }} | {% for python_ver in python_versions %}{% if statuses.get((lib_name, python_ver, pytest_ver)) == "ok" %} {% elif statuses.get((lib_name, python_ver, pytest_ver)) == "fail" %} {% else %} {% endif %} | {% endfor %}


--- layout: post status: publish published: true title: Attach disk on boot in linux author: display_name: vishvendra login: vishvendra email<EMAIL_ADDRESS>url: '' author_login: vishvendra author_email<EMAIL_ADDRESS>wordpress_id: 405 wordpress_url: https://vishvendrasingh.com/?p=405 date: '2016-12-26 16:33:47 +0530' date_gmt: '2016-12-26 16:33:47 +0530' categories: - Common - Linux tags: [] comments: - id: 106 author: Attach disk on boot in linux — Vishvendra Singh’s Blog | www.bhavendra.com author_email: '' author_url: https://bhavendracom.wordpress.com/2016/12/29/attach-disk-on-boot-in-linux-vishvendra-singhs-blog/ date: '2016-12-29 13:09:05 +0530' date_gmt: '2016-12-29 13:09:05 +0530' content: "[…] via Attach disk on boot in linux — Vishvendra Singh’s Blog […]" ---
auto mounting partitions is very easy in linux with the disk utility which have a nice gui explaining everyting.
but now i am going to show you a staright forward process of automonting partitions by editing /etc/fstab file.
Attach disk on boot in linux
this tutorial is not solely for automounting but how to edit fstab efficiently and gaining some knowledge about it.
steps:
1. sudo gedit /etc/fstab
2. now the fstab file is open in gedit. you need to add an entry for the partition to automount it at startup.
the format of a new entry is like this:
file_system mount_point type options dump pass
you will see this in the file and you need to add your new entry under this line.
brief explanation of the above format:
1.file_system = your device id.
use this:
/dev/sdax ( you should check it with sudo fdisk -l)
it may be /dev/sdbx or /dev/sdcx if you have more than one disks connected.
2. mount_point =where you want to mount your partition.
use this:
/media/user/label
here user is your user name, label is "software", "movies" or whatever label your partiton have.
3. type=fat32,ntfs, ntfs-3g,ext2,ext4 or whatever your partition type is.
4. options =mount options for the partition(explained later).
5. dump=Enable or disable backing up of the device/partition .usually set to 0, which disables it.
6. pass =Controls the order in which fsck checks the device/partition for errors at boot time. The root device should be 1. Other partitions should be 2, or 0 to disable checking.
so for auto mounting case the above format reduces to:
/dev/sdax /media/user/label type options 0 0
(you can check the type with sudo fdisk -l)
the options field:
sync/async - All I/O to the file system should be done synchronously/asynchronously.
auto/noauto - The filesystem will be mounted automatically at startup/The filesystem will NOT be automatically mounted at startup.
dev/nodev - Interpret/Do not interpret character or block special devices on the file system.
exec / noexec - Permit/Prevent the execution of binaries from the filesystem.
suid/nosuid - Permit/Block the operation of suid, and sgid bits.
ro/rw - Mount read-only/Mount read-write.
user/nouser - Permit any user to mount the filesystem. (This automatically implies noexec, nosuid,nodev unless overridden) / Only permit root to mount the filesystem. This is also a default setting.
defaults - Use default settings. Equivalent to rw, suid, dev, exec, auto, nouser, async.
_netdev - this is a network device, mount it after bringing up the network. Only valid with fstype nfs.
now the final format reduces to (for auto mount):
/dev/sdax /media/user/label type defaults 0 0
for ntfs
/dev/sdax /media/user/label ntfs defaults 0 0
for ext4
/dev/sdax /media/user/label ext4 defaults 0 0
etc.....
you can change defaults by your own configuration, like
/dev/sdax /media/user/label ext4 rw,suid,dev,noexec,auto,user,async 0 0
etc...
you need to add entry for each partiton you want to auto mount.
3. save and exit the file then restart and see the result.


TwitarrController
struct TwitarrController : RouteCollection
extension TwitarrController: ContentFilterable
extension TwitarrController: ImageHandler
extension TwitarrController: UserBookmarkable
The collection of /api/v3/twitarr/*
route endpoint and handler functions related
to the twit-arr stream.
-
Required. Resisters routes to the incoming router.
Declaration
Swift
func boot(router: Router) throws
-
GET /api/v3/twitarr/barrel/ID
Retrieve all
Twarrt
s posted by users in the specified.seamonkey
typeBarrel
.Note
The barrel does not need to be owned by the requesting user, though all blocks and mutes of the requesting user are applied regardless.
Requires
A specified
Barrel
ofBarrelType.seamonkey
.Throws
400 error if the barrel is not a barrel of seamonkeys.
Declaration
Swift
func twarrtsBarrelHandler(_ req: Request) throws -> Future<[TwarrtData]>
Parameters
req
The incoming
Request
, provided automatically.Return Value
[TwarrtData]
containing all twarrts posted by the barrel seamonkeys. -
GET /api/v3/twitarr/ID
Retrieve the specfied
Twarrt
with full userLikeType
data.Throws
404 error if the twarrt is not available.Declaration
Swift
func twarrtHandler(_ req: Request) throws -> Future<TwarrtDetailData>
Parameters
req
The incoming
Request
, provided automatically.Return Value
TwarrtDetaildata
containing the specified twarrt. -
GET /api/v3/twitarr
Retrieve an array of
Twarrt
s. This query supports several optional query parameters.?limit=INT
- the maximum number of twarrts to retrieve: 1-200, default is 50?after=ID
- the ID of the twarrt after which the retrieval should start (newer)?before=ID
- the ID of the twarrt before which the retrieval should start (older)?afterdate=DATE
- the timestamp after which the retrieval should start (newer)?beforedate=DATE
- the timestamp before which the retrieval should start (older)?from=STRING
- retrieve starting from “first” or “last”
Important
All parameters other than
limit
are mutually exclusive. If additional conflicting parameters are sent, the first one listed in the order above takes precedence (probably).A query without additional parameters defaults to
?limit=50&from=last
, the 50 most recent twarrts.DATE
values can be eitherTimeInterval
values (Doubles) since epoch, or ISO8601 string representations including milliseconds (“yyyy-MM-dd’T'HH:mm:ss.SSSXXXXX”). The numeric value method is recommended.Note
It is highly recommended that clients use
after=ID
orbefore=ID
where possible.Twarrt
ID’s are Int values and thus unambiguous.DATE
values are accurate only within 1 millisecond and are therefore prone to rounding errors. To ensure that all twarrts of interest are returned when sending a date based on the value found in a twarrt’s timestamp, it is recommended that 1 millisecond be added (if retrieving older) or subtracted (if retrieving newer) from that value for the query. You will almost certainly receive the original anchor twarrt again, but it will also ensure that any others possibly created within the same millisecond will not be omitted.Throws
400 error if a date parameter was supplied and is in an unknown format.
Declaration
Swift
func twarrtsHandler(_ req: Request) throws -> Future<[TwarrtData]>
Parameters
req
The incoming
Request
, provided automatically.Return Value
[TwarrtData]
containing the requested twarrts. -
GET /api/v3/twitarr/hashtag/#STRING
Retrieve all
Twarrt
s that contain the exact specified hashtag.Note
By “exact” we mean the string cannot be a substring of another hashtag (there must be a preceeding space), but the match is not case-sensitive. For example,
#joco
will not match#joco2020
or#joco#2020
, but will match#JoCo
. Use the more genericGET /api/v3/twitarr/search/STRING
endpoint with the same#joco
parameter if you want that type of substring matching behavior.Throws
400 error if the specified string is not a hashtag.
Declaration
Swift
func twarrtsHashtagHandler(_ req: Request) throws -> Future<[TwarrtData]>
Parameters
req
The incoming
Request
, provided automatically.Return Value
[TwarrtData]
containing all matching twarrts. -
GET /api/v3/twitarr/search/STRING
Retrieve all
Twarrt
s that contain the specified string.Declaration
Swift
func twarrtsSearchHandler(_ req: Request) throws -> Future<[TwarrtData]>
Parameters
req
The incoming
Request
, provided automatically.Return Value
[TwarrtData]
containing all matching twarrts. -
Declaration
Swift
func twarrtsUserHandler(_ req: Request) throws -> Future<[TwarrtData]>
Parameters
req
The incoming
Request
, provided automatically.Return Value
[TwarrtData]
containing all specified user’s twarrts.
-
POST /api/v3/twitarr/ID/bookmark
Add a bookmark of the specified
Twarrt
.Throws
400 error if the twarrt is already bookmarked.Declaration
Swift
func bookmarkAddHandler(_ req: Request) throws -> Future<HTTPStatus>
Parameters
req
The incoming
Request
, provided automatically.Return Value
201 Created on success.
-
POST /api/v3/twitarr/ID/bookmark/remove
Remove a bookmark of the specified
Twarrt
.Throws
400 error if the user has not bookmarked any twarrts.Declaration
Swift
func bookmarkRemoveHandler(_ req: Request) throws -> Future<HTTPStatus>
Parameters
req
The incoming
Request
, provided automatically. -
GET /api/v3/twitarr/bookmarks
Retrieve all
Twarrt
s the user has bookmarked.Declaration
Swift
func bookmarksHandler(_ req: Request) throws -> Future<[TwarrtData]>
Parameters
req
The incoming
Request
, provided automatically.Return Value
[TwarrtData]
containing all bookmarked posts. -
POST /api/v3/twitarr/ID/image
Sets the
Twarrt
image to the file uploaded in the HTTP body.Requires
ImageUploadData
payload in the HTTP body.Throws
403 error if user does not have permission to modify the twarrt.Declaration
Swift
func imageHandler(_ req: Request, data: ImageUploadData) throws -> Future<TwarrtData>
Parameters
req
The incoming
Request
, provided automatically.data
ImageUploadData
containing the filename and image file.Return Value
TwarrtData
containing the updated image value. -
POST /api/v3/twitarr/ID/image/remove
Remove the image from a
Twarrt
, if there is one. ATwarrtEdit
record is created if there was an image to remove.Throws
403 error if the user does not have permission to modify the twarrt.Declaration
Swift
func imageRemoveHandler(_ req: Request) throws -> Future<TwarrtData>
Parameters
req
The incoming
Request
, provided automatically.Return Value
TwarrtData
containing the updated image name. -
GET /api/v3/twitarr/likes
Retrieve all
Twarrt
s the user has liked.Declaration
Swift
func likesHandler(_ req: Request) throws -> Future<[TwarrtData]>
Parameters
req
The incoming
Request
, provided automatically.Return Value
[TwarrtData]
containing all liked posts. -
GET /api/v3/twitarr/mentions
Retrieve all
Twarrt
s whose content mentions the user, in descending timestamp order.Declaration
Swift
func mentionsHandler(_ req: Request) throws -> Future<[TwarrtData]>
Parameters
req
The incoming
Request
, provided automatically.Return Value
[TwarrtData]
containing all twarrts containing mentions. -
POST /api/v3/twitarr/ID/reply
Create a
Twarrt
as a reply to an existing twarrt. If the replyTo twarrt is in quarantine, the post is rejected.Requires
PostCreateData
payload in the HTTP body.Throws
400 error if the replyTo twarrt is in quarantine.Declaration
Swift
func replyHandler(_ req: Request, data: PostCreateData) throws -> Future<Response>
Parameters
req
The incoming
Request
, provided automatically.data
PostCreateData
containing the twarrt’s text and optional image.Return Value
TwarrtData
containing the twarrt’s contents and metadata. -
POST /api/v3/twitarr/create
Create a new
Twarrt
in the twitarr stream.Requires
PostCreateData
payload in the HTTP body.Declaration
Swift
func twarrtCreateHandler(_ req: Request, data: PostCreateData) throws -> Future<Response>
Parameters
req
The incoming
Request
, provided automatically.data
PostCreateData
containing the twarrt’s text and optional image.Return Value
TwarrtData
containing the twarrt’s contents and metadata. -
POST /api/v3/twitarr/ID/delete
Delete the specified
Twarrt
.Throws
403 error if the user is not permitted to delete.Declaration
Swift
func twarrtDeleteHandler(_ req: Request) throws -> Future<HTTPStatus>
Parameters
req
The incoming
Request
, provided automatically.Return Value
204 No COntent on success.
-
POST /api/v3/twitarr/ID/report
Create a
Report
regarding the specifiedTwarrt
. If the twarrt has reached the report threshold for auto-quarantining, it is quarantined.Note
The accompanying report message is optional on the part of the submitting user, but the
ReportData
is mandatory in order to allow one. If there is no message, sent an empty string in the.message
field.Requires
ReportData
payload in the HTTP body.Throws
400 error if user has already submitted report.
Declaration
Swift
func twarrtReportHandler(_ req: Request, data: ReportData) throws -> Future<HTTPStatus>
Parameters
req
The incoming
Request
, provided automatically.data
ReportData
containing an optional accompanying message.Return Value
201 Created on success.
-
POST /api/v3/twitarr/ID/laugh
Add a “laugh” reaction to the specified
Twarrt
. If there is an existingLikeType
reaction by the user, it is replaced.Throws
403 error if user is the twarrt’s creator.Declaration
Swift
func twarrtLaughHandler(_ req: Request) throws -> Future<TwarrtData>
Parameters
req
The incoming
Request
, provided automatically.Return Value
TwarrtData
containing the updated like info. -
POST /api/v3/twitarr/ID/like
Add a “like” reaction to the specified
Twarrt
. If there is an existingLikeType
reaction by the user, it is replaced.Throws
403 error if user is the twarrt’s creator.Declaration
Swift
func twarrtLikeHandler(_ req: Request) throws -> Future<TwarrtData>
Parameters
req
The incoming
Request
, provided automatically.Return Value
TwarrtData
containing the updated like info. -
POST /api/v3/twitarr/ID/love
Add a “love” reaction to the specified
Twarrt
. If there is an existingLikeType
reaction by the user, it is replaced.Throws
403 error if user is the twarrt’s creator.Declaration
Swift
func twarrtLoveHandler(_ req: Request) throws -> Future<TwarrtData>
Parameters
req
The incoming
Request
, provided automatically.Return Value
TwarrtData
containing the updated like info. -
POST /api/v3/twitarr/ID/unreact
Remove a
LikeType
reaction from the specifiedTwarrt
.Throws
400 error it there was no existing reaction. 403 error if user is the twarrt’s creator.Declaration
Swift
func twarrtUnreactHandler(_ req: Request) throws -> Future<TwarrtData>
Parameters
req
The incoming
Request
, provided automatically.Return Value
TwarrtData
containing the updated like info. -
POST /api/v3/twitarr/ID/update
Update the specified
Twarrt
.Note
This endpoint only changes the
.text
and.image
filename of the twarrt. To change or remove the actual image associated with the twarrt, usePOST /api/v3/twitarr/ID/image
orPOST /api/v3/twitarr/ID/image/remove
.Requires
PostContentData
payload in the HTTP body.Throws
403 error if user is not twarrt owner or has read-only access.
Declaration
Swift
func twarrtUpdateHandler(_ req: Request, data: PostContentData) throws -> Future<Response>
Parameters
req
The incoming
Request
, provided automatically.data
PostContentData
containing the twarrt’s text and image filename.Return Value
TwarrtData
containing the twarrt’s contents and metadata. -
GET /api/v3/twitarr/user
Retrieve all
Twarrt
s authored by the user.Declaration
Swift
func userHandler(_ req: Request) throws -> Future<[TwarrtData]>
Parameters
req
The incoming
Request
, provided automatically.Return Value
[TwarrtData]
containing all twarrts containing mentions. -
The base directory for storing Twarrt images.
Declaration
Swift
var imageDir: String { get }
-
The height of Twarrt image thumbnails.
Declaration
Swift
var thumbnailHeight: Int { get }
-
The barrel type for
Twarrt
bookmarking.Declaration
Swift
var bookmarkBarrelType: BarrelType { get }


Preparation time
less than 30 mins
Cooking time
over 2 hours
Serves
Serves 6
A really warming traditional winter soup with added dumplings, so there’s no need for bread.
Preheat the oven to 170C/3140F/Gas 3-4.
Wash the oxtail pieces and pat dry with kitchen paper.  Put the flour in a strong plastic food bag and season well with salt and freshly ground black pepper. Drop half of the oxtail pieces into the seasoned flour and shake to coat. Transfer to a plate. Repeat with the remaining oxtail pieces.
Heat two tablespoons of the oil in a large non-stick frying pan. Brown the oxtail pieces over a medium heat for about 10 minutes, or until deeply coloured, turning every now and then. You may need to add extra oil or cook the beef in batches depending on the size of your pan. Put the oxtail pieces in a large, flame-proof casserole.
Return the frying pan to the hob and add the onions, garlic, carrots and celery, with a little extra oil if necessary. Cook gently for 10 minutes, or until softened and lightly browned, stirring occasionally.
Tip the vegetables on top of the beef and add the thyme and bay leaves. Stir in the wine, beef stock and tomato purée. Season with salt and pepper and bring to a gentle simmer. Cover the casserole with a lid and cook in the centre of the oven for three hours, stirring and turning the oxtail pieces halfway through the cooking time until the meat is falling off the bones.
Remove the casserole from the oven and transfer the oxtail pieces to a board. Leave to cool slightly. Skim off the fat from the soup that will have pooled on the surface and discard. Pull the meat off the bones and discard any gristly bits. Cut the beef into small chunks and return to the casserole. Stir in the sherry and yeast extract.
To make the dumplings, mix the flour, suet, parsley and salt in a large bowl. Stir in enough water to mix to a soft, spongy dough.
 Bring the soup to a gentle simmer, stirring occasionally. Add plenty of seasoning and drop the dumplings gently on top of the soup. Cover tightly with a lid and simmer for 15-18 minutes, or until the dumplings are well-risen and fluffy. Ladle the soup into deep bowls to serve.


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Published by Vintage (2005)
ISBNá10:<PHONE_NUMBER> ISBNá13:<PHONE_NUMBER>326
Used Paperback
Quantity Available: 1
From: Revival Books Ltd (Rossendale, LANCS, United Kingdom)
Item Description: Vintage, 2005. Paperback. Book Condition: Good. A slight tan to the page edges. Good condition is defined as: a copy that has been read but remains in clean condition. All of the pages are intact and the cover is intact and the spine may show signs of wear. The book may have minor markings which are not specifically mentioned. Most items will be dispatched the same or the next working day. Bookseller Inventory # mon0008184882
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Published by Vintage (2005)
ISBNá10:<PHONE_NUMBER> ISBNá13:<PHONE_NUMBER>326
Used Paperback
Quantity Available: 1
From: Goldstone Books (Llandybie, United Kingdom)
Item Description: Vintage, 2005. Paperback. Book Condition: Very Good. All orders are dispatched the following working day from our UK warehouse. Established in 2004, we have over 500,000 books in stock. No quibble refund if not completely satisfied. Bookseller Inventory # mon0000688703
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ISBNá10:<PHONE_NUMBER> ISBNá13:<PHONE_NUMBER>326
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From: WorldofBooks (Goring-By-Sea, WS, United Kingdom)
Item Description: Paperback. Book Condition: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged. Bookseller Inventory # GOR001272789
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ISBNá10:<PHONE_NUMBER> ISBNá13:<PHONE_NUMBER>326
Used Paperback
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From: WorldofBooks (Goring-By-Sea, WS, United Kingdom)
Item Description: Paperback. Book Condition: Good. The book has been read but remains in clean condition. All pages are intact and the cover is intact. Some minor wear to the spine. Bookseller Inventory # GOR001296322
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ISBNá10:<PHONE_NUMBER> ISBNá13:<PHONE_NUMBER>326
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Item Description: Paperback. Book Condition: Fair. A readable copy of the book which may include some defects such as highlighting and notes. Cover and pages may be creased and show discolouration. Bookseller Inventory # GOR001563356
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ISBNá10:<PHONE_NUMBER> ISBNá13:<PHONE_NUMBER>326
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Published by Vintage (2005)
ISBNá10:<PHONE_NUMBER> ISBNá13:<PHONE_NUMBER>326
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Published by Vintage Publishing, United Kingdom (2015)
ISBNá10:<PHONE_NUMBER> ISBNá13:<PHONE_NUMBER>326
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Item Description: Vintage Publishing, United Kingdom, 2015. Paperback. Book Condition: New. Language: English . Brand New Book. Kafka Tamura runs away from home at fifteen, under the shadow of his father s dark prophesy. The aging Nakata, tracker of lost cats, who never recovered from a bizarre childhood affliction, finds his pleasantly simplified life suddenly turned upside down. As their parallel odysseys unravel, cats converse with people; fish tumble from the sky; a ghost-like pimp deploys a Hegel-spouting girl of the night; a forest harbours soldiers apparently un-aged since World War II. There is a savage killing, but the identity of both victim and killer is a riddle - one of many which combine to create an elegant and dreamlike masterpiece. Bookseller Inventory # AAZ9780099458326
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Published by Vintage Publishing, United Kingdom (2015)
ISBNá10:<PHONE_NUMBER> ISBNá13:<PHONE_NUMBER>326
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From: The Book Depository US (London, United Kingdom)
Item Description: Vintage Publishing, United Kingdom, 2015. Paperback. Book Condition: New. Language: English . Brand New Book. Kafka Tamura runs away from home at fifteen, under the shadow of his father s dark prophesy. The aging Nakata, tracker of lost cats, who never recovered from a bizarre childhood affliction, finds his pleasantly simplified life suddenly turned upside down. As their parallel odysseys unravel, cats converse with people; fish tumble from the sky; a ghost-like pimp deploys a Hegel-spouting girl of the night; a forest harbours soldiers apparently un-aged since World War II. There is a savage killing, but the identity of both victim and killer is a riddle - one of many which combine to create an elegant and dreamlike masterpiece. Bookseller Inventory # AAZ9780099458326
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Published by Vintage
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Published by Vintage 2005-10-06 (2005)
ISBNá10:<PHONE_NUMBER> ISBNá13:<PHONE_NUMBER>326
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From: Chiron Media (Wallingford, United Kingdom)
Item Description: Vintage 2005-10-06, 2005. Paperback. Book Condition: New. Bookseller Inventory # NU-BER-00016732
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Published by Vintage 2005-10-06 (2005)
ISBNá10:<PHONE_NUMBER> ISBNá13:<PHONE_NUMBER>326
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From: Chiron Media (Wallingford, United Kingdom)
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Published by Vintage (2004)
ISBNá10:<PHONE_NUMBER> ISBNá13:<PHONE_NUMBER>326
Used Mass Market Paperback
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Published by Vintage
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From: Kennys Bookstore (Olney, MD, U.S.A.)
Item Description: Vintage. Book Condition: New. 2005. New Ed. Mass Market Paperback. Kafka Tamura runs away from home at fifteen, under the shadow of his father's dark prophesy. The aging Nakata, tracker of lost cats, who never recovered from a bizarre childhood affliction, finds his pleasantly simplified life suddenly turned upside down. As their parallel odysseys unravel, cats converse with people; fish tumble from the sky. Series: Vintage Magic. Num Pages: 512 pages. BIC Classification: FA. Category: (G) General (US: Trade). Dimension: 131 x 198 x 33. Weight in Grams: 370. . . . . . Books ship from the US and Ireland. Bookseller Inventory # V9780099458326
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Published by Random House India
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Published by Vintage
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From: Book Arsenal (Delhi, DELHI, India)
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Published by Vintage (2005)
ISBNá10:<PHONE_NUMBER> ISBNá13:<PHONE_NUMBER>326
New Softcover
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From: Kennys Bookshop and Art Galleries Ltd. (Galway, Ireland)
Item Description: Vintage, 2005. Book Condition: New. 2005. New Ed. Mass Market Paperback. Kafka Tamura runs away from home at fifteen, under the shadow of his father's dark prophesy. The aging Nakata, tracker of lost cats, who never recovered from a bizarre childhood affliction, finds his pleasantly simplified life suddenly turned upside down. As their parallel odysseys unravel, cats converse with people; fish tumble from the sky. Series: Vintage Magic. Num Pages: 512 pages. BIC Classification: FA. Category: (G) General (US: Trade). Dimension: 131 x 198 x 33. Weight in Grams: 370. . . . . . . Bookseller Inventory # V9780099458326
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Published by Vintage (2005)
ISBNá10:<PHONE_NUMBER> ISBNá13:<PHONE_NUMBER>326
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From: European-Media-Service Mannheim (Mannheim, Germany)
Item Description: Vintage, 2005. Book Condition: New. Bookseller Inventory # EH9780099458326
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Published by Vintage (2005)
ISBNá10:<PHONE_NUMBER> ISBNá13:<PHONE_NUMBER>326
New Paperback
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From: The Monster Bookshop (Fleckney, United Kingdom)
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Published by Vintage Books USA
ISBNá10:<PHONE_NUMBER> ISBNá13:<PHONE_NUMBER>326
New Paperback
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From: BookVistas (New Delhi, DELHI, India)
Item Description: Vintage Books USA. Paperback. Book Condition: New. Bookseller Inventory # Prakash-9780099458326
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From: US_Superfast_Bookstore (New Castle, DE, U.S.A.)
Item Description: Paperback. Book Condition: NEW. Brand New, Exactly same as listed. Delivery within 4-8 business days ACROSS THE GLOBE. We can ship to PO Box address in US. We may ship the books from multiple warehouses across the globe including Asia depending upon the availability of inventory. Customer satisfaction guaranteed. Bookseller Inventory # VPI_9780099458326
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Published by Vintage Books USA
ISBNá10:<PHONE_NUMBER> ISBNá13:<PHONE_NUMBER>326
New Paperback
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From: A - Z Books (New Delhi, DELHI, India)
Item Description: Vintage Books USA. Paperback. Book Condition: New. Bookseller Inventory # Prakash-9780099458326
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Published by Vintage/Random House India (2012)
ISBNá10:<PHONE_NUMBER> ISBNá13:<PHONE_NUMBER>326
New Softcover
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From: BookVistas (New Delhi, DELHI, India)
Item Description: Vintage/Random House India, 2012. Softcover. Book Condition: New. Kafka Tamura runs away from home at fifteen, under the shadow of his father`s dark prophesy. The aging Nakata, tracker of lost cats, who never recovered from a bizarre childhood affliction, finds his pleasantly simplified life suddenly turned upside down. As their parallel odysseys unravel, cats converse with people; fish tumble from the sky; a ghost-like pimp deploys a Hegel-spouting girl of the night; a forest harbours soldiers apparently un-aged since World War II. There is a savage killing, but the identity of both victim and killer is a riddle - one of many which combine to create an elegant and dreamlike masterpiece. Printed Pages: 512. Bookseller Inventory # 77817
More Information About This Seller | Ask Bookseller a Question 29.
Published by Vintage
ISBNá10:<PHONE_NUMBER> ISBNá13:<PHONE_NUMBER>326
New Mass Market Paperback
Quantity Available: > 20
From: THE SAINT BOOKSTORE (Southport, United Kingdom)
Item Description: Vintage. Mass Market Paperback. Book Condition: New. New copy - Usually dispatched within 2 working days. Bookseller Inventory # B9780099458326
More Information About This Seller | Ask Bookseller a Question 30.


---
layout: post
title: rough storyboards for an animatic
date: '2013-04-15T02:20:00+02:00'
categories:
- Storyboards
- Atoleiros Battle
picture_url: https://film-Storyboards.tumblr.com/post/48027726856/rough-Storyboards-for-an-animatic-project-by
---
Rough Storyboards for an animatic. Project by Maverick ICS for the Battle of Atoleiros Interpretation Centre.


Last year I’ve written one post about Python and threads. You can read it here. Today I want to keep on playing with Python and threads. The idea is create one simple script that prints one asterisk in the console each second. Simple, isn’t it?
from time import sleep
while True:
print("*")
sleep(1)
I want to keep this script running but I want to send one message externally, for example using RabbitMQ, and do something with the running script. In this demo, for example, stop the script.
In javascript we can do it with a single thread process with setInterval function but, since the rabbit listener with pika is a blocking action, we need to use threads in Python (please tell me if I’m wrong). The idea is to create a circuit breaker condition in the main loop to check if I need to stop or not the main thread.
First I’ve created my Rabbit listener in a thread:
from queue import Queue, Empty
import threading
import pika
import os
class Listener(threading.Thread):
def __init__(self, queue=Queue()):
super(Listener, self).__init__()
self.queue = queue
self.daemon = True
def run(self):
channel = self._get_channel()
channel.queue_declare(queue='stop')
channel.basic_consume(
queue='stop',
on_message_callback=lambda ch, method, properties, body: self.queue.put(item=True),
auto_ack=True)
channel.start_consuming()
def stop(self):
try:
return True if self.queue.get(timeout=0.05) is True else False
except Empty:
return False
def _get_channel(self):
credentials = pika.PlainCredentials(
username=os.getenv('RABBITMQ_USER'),
password=os.getenv('RABBITMQ_PASS'))
parameters = pika.ConnectionParameters(
host=os.getenv('RABBITMQ_HOST'),
credentials=credentials)
connection = pika.BlockingConnection(parameters=parameters)
return connection.channel()
Now in the main process I start the Listener and I enter into one endless loop to print my asterisk each second but at the end of each loop I check if I need to stop the process or not.
from Listener import Listener
from dotenv import load_dotenv
import logging
from time import sleep
import os
logging.basicConfig(level=logging.INFO)
current_dir = os.path.dirname(os.path.abspath(__file__))
load_dotenv(dotenv_path="{}/.env".format(current_dir))
l = Listener()
l.start()
def main():
while True:
logging.info("*")
sleep(1)
if l.stop():
break
if __name__ == '__main__':
main()
As we can see in the stop function we’re using the queue.Queue package to communicate with our listener loop.
And that’s all. In the example I also provide a minimal RabbitMQ server in a docker container.
version: '3.4'
services:
rabbit:
image: rabbitmq:3-management
restart: always
environment:
RABBITMQ_ERLANG_COOKIE:
RABBITMQ_DEFAULT_VHOST: /
RABBITMQ_DEFAULT_USER: ${RABBITMQ_USER}
RABBITMQ_DEFAULT_PASS: ${RABBITMQ_PASS}
ports:
- "15672:15672"
- "5672:5672"
And that’s all. Full source code available here


A NFA is a nondeterministic machine, which means several choices may exist for the next state at any point. To not get confused with DFAs, here is the formal definition of a NFA.
A nondeterministic finite automaton is a 5-tuple (Q, Σ, δ, q0, F), where
The NFA is accepted if there exists some path through the NFA to an accepting state (almost as if the NFA guesses the path).
In arithmetic, we can use the operations + and x to build up expressions such as (5+3) x 4. Similarly, we can use the regular operations to build up expressions describing languages, which are called regular expressions. Here's an example: (0U1)0*.
The formal definition of a regex is:
Say that R is a regular expression if R isIn items 1 and 2, the regular expressions a and ε represent the languages {a} and {ε}, respectively. In item 3, the regular expression ∅ represents the empty language. In items 4, 5, and 6, the expressions represent the languages obtained by taking the union or concatenation of the languages R1 and R2, or the star of R1, resepectively.
Regular expressions and finite automata are equivalent in their descriptive power. Any regular expression can be converted into a finite automaton that recognizes the language it describes, and vice versa.
Learn more about converting NFA to regex


Affordances
-
Synchronous class sessions can provide a more natural way to instill a
feeling of connection between instructors and students since the instructor
and student are engaging in real-time.
-
Many face-to-face strategies that are used to strengthen the
instructor-student relationship can be easily replicated in the synchronous
online environment.
-
Feedback can be immediate as the instructor can inform students in
real-time.
Limitations
-
Some students might not have the necessary technology (like a webcam) or
internet connection to engage synchronously.
-
Some students might not be comfortable with sharing their video feed with
the entire class.
-
Incorporating a lot of back and forth interaction during a live class
session can lead to time-consuming navigational/logistical problems, so
prior planning is essential.
Instructional Strategies
-
Encourage students to share their live video. Seeing one
another can make the online experience feel more like a face-to-face
interaction.
-
Requiring video is not, however, recommended, as some students may lack
the technology to do so.
-
Incorporate icebreaker activities. At the beginning of your
class sessions, use icebreakers to build community and increase comfort with
communicating in the live online environment.
-
Schedule one-on-one or small group meetings. Between class
meetings, smaller group meetings with students can help you to get to know
your students better, check on their learning progress, and get a sense of
how things are going for them in the online environment.
-
Incorporate live activities like polls and games. Adding
elements like these during your live session can help you gauge whether
students are “getting it.”
- Use built in Zoom Polls
-
Use built-in response tools in systems like Zoom, such as the “Yes” or
thumbs-up button (as in “Click the YES button if you’re following along so
far”).
-
Add gaming elements to create engaging real-time learning activities.
-
Examples like Kahoot (a Jeopardy-like online game) and Nearpod
(interactive slideshow tool).
-
Use breakout rooms. Breakout rooms in applications like
Zoom can give you a way to work with your students during small group
activities and group projects.
- Make sure you provide them with concrete tasks and deliverables
-
Ask for report-outs when everyone is back together in the main room to
keep them on track
- Manage breakout rooms
-
Incorporate multimedia and visuals. Adding visual elements
during your live sessions canto increase student engagement with you and
your content.
-
Share popular culture audio or video clips that are related to your
content, then engage your class in a discussion of how the clips in,
challenges, or illustrates with what you are studying together.
- “Dress the part” to draw attention to your topic(s).
-
Pre-record your usual lecture, then watch it live with your students
during your scheduled class time while providing commentary and taking
time to answer questions along the way.
-
Tie your topic into current events. This can help your
students make important connections between you, the content, and their
daily lives and experiences.
-
Ask your students for help. By asking them for help with
the technology or to lead discussions, monitor chat space, etc., you are
letting them know that you are all in this together and that you want them
to feel empowered in the online space.
-
This can take a great deal of pressure off of the students (who might also
be struggling in the online environment) and increase attendance and
create a willingness to reach out to their instructor and fellow students.
-
Draw out students who aren’t participating. During live
sessions, call on students you haven’t heard from to engage them, just as
you would in the face-to-face environment.
-
Use the chat area and non-verbal feedback tools. To better
engage your students, show them how to use the built-in tools in systems
like Zoom, ask questions, react, make comments, interject, etc.
-
Have someone in the class or a TA monitor the chat space and take periodic
breaks to address questions or comments that have been posted
-
IncorporatePackback, a tool approved by Penn State that works like a
discussion forum, but students generate and answer each other’s questions
and the instructor can go in and make comments. Use it alongside your
synchronous class meeting or have them use Packback before your live
session to generate questions as a springboard for live conversation.Payback
-
Consider incorporating a “Class Participation” grade to
incentivize meaningful participation.
Villanova Rubric
SMU Rubric


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Pakistan shells forward posts along LoC in Poonch
There was no report of any casualty in the shelling.
by PTIPakistani troops shelled forward posts and villages along the Line of Control (LoC) in Poonch district of Jammu and Kashmir on Sunday, a defence spokesperson said.
The unprovoked firing of mortar shells in Shahpur sector started around 10.15 a.m., prompting befitting retaliation by the Indian Army, he said.
Officials said mortar shells fired by Pakistan also hit Kerni and Qasba areas of the district.
There was no report of any casualty in the shelling, which has prompted people to take shelter in safe places such as underground bunkers.
The cross-border firing was going on from both sides when last reports came in.


Completed Jobs per Second (Hadoop)
Aggregate Throughput (Network) [MBit/s]
Background Traffic Intensity: 0
1000


Celtics' Walker doubtful for Kings clash with neck sprain
by Sports DeskBoston Celtics star Kemba Walker is "doubtful" for Monday's NBA game against the Sacramento Kings due to a neck sprain.
Celtics guard Walker was hospitalised following a scary collision against the Denver Nuggets at the Pepsi Center on Friday.
The three-time All-Star – with his head down – bumped into team-mate Semi Ojeleye during the second quarter of Boston's 96-92 loss.
After the Celtics provided an update on Walker earlier on Sunday, head coach Brad Stevens told reporters: "Obviously they went through a series of things with the Denver doctors, and a series of things when he got back yesterday with our doctors.
"So he is continuing to be monitored in case any of that stuff shows up.
"But he's been good, and he feels good. It's kind of a minor miracle based on what we saw the other day. But the strain is real, and he's got some soreness in his back and neck. That's it."
Walker, who did not practice on Sunday, had been averaging 22.6 points, 4.9 rebounds and 4.8 assists per game heading into the clash against the Nuggets.
"It's always scary. And that's the reason he's doubtful [for Monday], to be honest," Stevens added. "I think he could probably play with the strain part, but we want to make sure [that] with the way he hit, and certainly because of the sensitivity to head injuries."