When working with data you must:
Figure out what you want to do.
Describe those tasks in the form of a computer program.
Execute the program.
The dplyr package makes these steps fast and easy:
By constraining your options, it helps you think about your data manipulation challenges.
It provides simple “verbs”, functions that correspond to the most common data manipulation tasks, to help you translate your thoughts into code.
It uses efficient backends, so you spend less time waiting for the computer.
This document introduces you to dplyr’s basic set of tools, and shows you how to apply them to data frames. dplyr also supports databases via the dbplyr package, once you’ve installed, read vignette("dbplyr")
to learn more.
To explore the basic data manipulation verbs of dplyr, we’ll use the dataset starwars
. This dataset contains 87 characters and comes from the Star Wars API, and is documented in ?starwars
dim(starwars)
#> [1] 87 14
starwars
#> # A tibble: 87 x 14
#> name height mass hair_color skin_color eye_color birth_year sex gender
#> <chr> <int> <dbl> <chr> <chr> <chr> <dbl> <chr> <chr>
#> 1 Luke… 172 77 blond fair blue 19 male mascu…
#> 2 C-3PO 167 75 <NA> gold yellow 112 none mascu…
#> 3 R2-D2 96 32 <NA> white, bl… red 33 none mascu…
#> 4 Dart… 202 136 none white yellow 41.9 male mascu…
#> # … with 83 more rows, and 5 more variables: homeworld <chr>, species <chr>,
#> # films <list>, vehicles <list>, starships <list>
Note that starwars
is a tibble, a modern reimagining of the data frame. It’s particularly useful for large datasets because it only prints the first few rows. You can learn more about tibbles at https://tibble.tidyverse.org; in particular you can convert data frames to tibbles with as_tibble()
.
dplyr aims to provide a function for each basic verb of data manipulation. These verbs can be organised into three categories based on the component of the dataset that they work with:
filter()
chooses rows based on column values.slice()
chooses rows based on location.arrange()
changes the order of the rows.select()
changes whether or not a column is included.rename()
changes the name of columns.mutate()
changes the values of columns and creates new columns.relocate()
changes the order of the columns.summarise()
collapses a group into a single row.All of the dplyr functions take a data frame (or tibble) as the first argument. Rather than forcing the user to either save intermediate objects or nest functions, dplyr provides the %>%
operator from magrittr. x %>% f(y)
turns into f(x, y)
so the result from one step is then “piped” into the next step. You can use the pipe to rewrite multiple operations that you can read left-to-right, top-to-bottom (reading the pipe operator as “then”).
filter()
filter()
allows you to select a subset of rows in a data frame. Like all single verbs, the first argument is the tibble (or data frame). The second and subsequent arguments refer to variables within that data frame, selecting rows where the expression is TRUE
.
For example, we can select all character with light skin color and brown eyes with:
starwars %>% filter(skin_color == "light", eye_color == "brown")
#> # A tibble: 7 x 14
#> name height mass hair_color skin_color eye_color birth_year sex gender
#> <chr> <int> <dbl> <chr> <chr> <chr> <dbl> <chr> <chr>
#> 1 Leia… 150 49 brown light brown 19 fema… femin…
#> 2 Bigg… 183 84 black light brown 24 male mascu…
#> 3 Cordé 157 NA brown light brown NA fema… femin…
#> 4 Dormé 165 NA brown light brown NA fema… femin…
#> # … with 3 more rows, and 5 more variables: homeworld <chr>, species <chr>,
#> # films <list>, vehicles <list>, starships <list>
This is roughly equivalent to this base R code:
arrange()
arrange()
works similarly to filter()
except that instead of filtering or selecting rows, it reorders them. It takes a data frame, and a set of column names (or more complicated expressions) to order by.  It allows you to select, remove, and duplicate rows.
We can get characters from row numbers 5 through 10.
starwars %>% slice(5:10)
#> # A tibble: 6 x 14
#> name height mass hair_color skin_color eye_color birth_year sex gender
#> <chr> <int> <dbl> <chr> <chr> <chr> <dbl> <chr> <chr>
#> 1 Leia… 150 49 brown light brown 19 fema… femin…
#> 2 Owen… 178 120 brown, gr… light blue 52 male mascu…
#> 3 Beru… 165 75 brown light blue 47 fema… femin…
#> 4 R5-D4 97 32 <NA> white, red red NA none mascu…
#> # … with 2 more rows, and 5 more variables: homeworld <chr>, species <chr>,
#> # films <list>, vehicles <list>, starships <list>
It is accompanied by a number of helpers for common use cases:
slice_head()
and slice_tail()
select the first or last rows.starwars %>% slice_head(n = 3)
#> # A tibble: 3 x 14
#> name height mass hair_color skin_color eye_color birth_year sex gender
#> <chr> <int> <dbl> <chr> <chr> <chr> <dbl> <chr> <chr>
#> 1 Luke… 172 77 blond fair blue 19 male mascu…
#> 2 C-3PO 167 75 <NA> gold yellow 112 none mascu…
#> 3 R2-D2 96 32 <NA> white, bl… red 33 none mascu…
#> # … with 5 more variables: homeworld <chr>, species <chr>, films <list>,
#> # vehicles <list>, starships <list>
slice_sample()
randomly selects rows.  If needed, you can weight the sample with the weight
argument.
slice_min()
and slice_max()
select rows with highest or lowest values of a variable. Note that we first must choose only the values which are not NA.starwars %>%
filter(!is.na(height)) %>%
slice_max(height, n = 3)
#> # A tibble: 3 x 14
#> name height mass hair_color skin_color eye_color birth_year sex gender
#> <chr> <int> <dbl> <chr> <chr> <chr> <dbl> <chr> <chr>
#> 1 Yara… 264 NA none white yellow NA male mascu…
#> 2 Tarf… 234 136 brown brown blue NA male mascu…
#> 3 Lama… 229 88 none grey black NA male mascu…
#> # … with 5 more variables: homeworld <chr>, species <chr>, films <list>,
#> # vehicles <list>, starships <list>
select()
Often you work with large datasets with many columns but only a few are actually of interest to you. select()
allows you to rapidly zoom in on a useful subset using operations that usually only work on numeric variable positions:
# Select columns by name
starwars %>% select(hair_color, skin_color, eye_color)
#> # A tibble: 87 x 3
#> hair_color skin_color eye_color
#> <chr> <chr> <chr>
#> 1 blond fair blue
#> 2 <NA> gold yellow
#> 3 <NA> white, blue red
#> 4 none white yellow
#> # … with 83 more rows
# Select all columns between hair_color and eye_color (inclusive)
starwars %>% select(hair_color:eye_color)
#> # A tibble: 87 x 3
#> hair_color skin_color eye_color
#> <chr> <chr> <chr>
#> 1 blond fair blue
#> 2 <NA> gold yellow
#> 3 <NA> white, blue red
#> 4 none white yellow
#> # … with 83 more rows
# Select all columns except those from hair_color to eye_color (inclusive)
starwars %>% select(!(hair_color:eye_color))
#> # A tibble: 87 x 11
#> name height mass birth_year sex gender homeworld species films vehicles
#> <chr> <int> <dbl> <dbl> <chr> <chr> <chr> <chr> <lis> <list>
#> 1 Luke… 172 77 19 male mascu… Tatooine Human <chr… <chr [2…
#> 2 C-3PO 167 75 112 none mascu… Tatooine Droid <chr… <chr [0…
#> 3 R2-D2 96 32 33 none mascu… Naboo Droid <chr… <chr [0…
#> 4 Dart… 202 136 41.9 male mascu… Tatooine Human <chr… <chr [0…
#> # … with 83 more rows, and 1 more variable: starships <list>
# Select all columns ending with color
starwars %>% select(ends_with("color"))
#> # A tibble: 87 x 3
#> hair_color skin_color eye_color
#> <chr> <chr> <chr>
#> 1 blond fair blue
#> 2 <NA> gold yellow
#> 3 <NA> white, blue red
#> 4 none white yellow
#> # … with 83 more rows
There are a number of helper functions you can use within select()
, like starts_with()
, ends_with()
, matches()
and contains()
. These let you quickly match larger blocks of variables that meet some criterion. See ?select
for more details.
You can rename variables with select()
by using named arguments:
starwars %>% select(home_world = homeworld)
#> # A tibble: 87 x 1
#> home_world
#> <chr>
#> 1 Tatooine
#> 2 Tatooine
#> 3 Naboo
#> 4 Tatooine
#> # … with 83 more rows
But because select()
drops all the variables not explicitly mentioned, it’s not that useful. Instead, use rename()
:
starwars %>% rename(home_world = homeworld)
#> # A tibble: 87 x 14
#> name height mass hair_color skin_color eye_color birth_year sex gender
#> <chr> <int> <dbl> <chr> <chr> <chr> <dbl> <chr> <chr>
#> 1 Luke… 172 77 blond fair blue 19 male mascu…
#> 2 C-3PO 167 75 <NA> gold yellow 112 none mascu…
#> 3 R2-D2 96 32 <NA> white, bl… red 33 none mascu…
#> 4 Dart… 202 136 none white yellow 41.9 male mascu…
#> # … with 83 more rows, and 5 more variables: home_world <chr>, species <chr>,
#> # films <list>, vehicles <list>, starships <list>
mutate()
Besides selecting sets of existing columns, it’s often useful to add new columns that are functions of existing columns. This is the job of mutate()
:
starwars %>% mutate(height_m = height / 100)
#> # A tibble: 87 x 15
#> name height mass hair_color skin_color eye_color birth_year sex gender
#> <chr> <int> <dbl> <chr> <chr> <chr> <dbl> <chr> <chr>
#> 1 Luke… 172 77 blond fair blue 19 male mascu…
#> 2 C-3PO 167 75 <NA> gold yellow 112 none mascu…
#> 3 R2-D2 96 32 <NA> white, bl… red 33 none mascu…
#> 4 Dart… 202 136 none white yellow 41.9 male mascu…
#> # … with 83 more rows, and 6 more variables: homeworld <chr>, species <chr>,
#> # films <list>, vehicles <list>, starships <list>, height_m <dbl>
We can’t see the height in meters we just calculated, but we can fix that using a select command.
starwars %>%
mutate(height_m = height / 100) %>%
select(height_m, height, everything())
#> # A tibble: 87 x 15
#> height_m height name mass hair_color skin_color eye_color birth_year sex
#> <dbl> <int> <chr> <dbl> <chr> <chr> <chr> <dbl> <chr>
#> 1 1.72 172 Luke… 77 blond fair blue 19 male
#> 2 1.67 167 C-3PO 75 <NA> gold yellow 112 none
#> 3 0.96 96 R2-D2 32 <NA> white, bl… red 33 none
#> 4 2.02 202 Dart… 136 none white yellow 41.9 male
#> # … with 83 more rows, and 6 more variables: gender <chr>, homeworld <chr>,
#> # species <chr>, films <list>, vehicles <list>, starships <list>
dplyr::mutate()
is similar to the base transform()
, but allows you to refer to columns that you’ve just created:
starwars %>%
mutate(
height_m = height / 100,
BMI = mass / (height_m^2)
) %>%
select(BMI, everything())
#> # A tibble: 87 x 16
#> BMI name height mass hair_color skin_color eye_color birth_year sex
#> <dbl> <chr> <int> <dbl> <chr> <chr> <chr> <dbl> <chr>
#> 1 26.0 Luke… 172 77 blond fair blue 19 male
#> 2 26.9 C-3PO 167 75 <NA> gold yellow 112 none
#> 3 34.7 R2-D2 96 32 <NA> white, bl… red 33 none
#> 4 33.3 Dart… 202 136 none white yellow 41.9 male
#> # … with 83 more rows, and 7 more variables: gender <chr>, homeworld <chr>,
#> # species <chr>, films <list>, vehicles <list>, starships <list>,
#> # height_m <dbl>
If you only want to keep the new variables, use transmute()
:
relocate()
Use a similar syntax as select()
to move blocks of columns at once
starwars %>% relocate(sex:homeworld, .before = height)
#> # A tibble: 87 x 14
#> name sex gender homeworld height mass hair_color skin_color eye_color
#> <chr> <chr> <chr> <chr> <int> <dbl> <chr> <chr> <chr>
#> 1 Luke… male mascu… Tatooine 172 77 blond fair blue
#> 2 C-3PO none mascu… Tatooine 167 75 <NA> gold yellow
#> 3 R2-D2 none mascu… Naboo 96 32 <NA> white, bl… red
#> 4 Dart… male mascu… Tatooine 202 136 none white yellow
#> # … with 83 more rows, and 5 more variables: birth_year <dbl>, species <chr>,
#> # films <list>, vehicles <list>, starships <list>
summarise()
The last verb is summarise()
. It collapses a data frame to a single row.
starwars %>% summarise(height = mean(height, na.rm = TRUE))
#> # A tibble: 1 x 1
#> height
#> <dbl>
#> 1 174.
It’s not that useful until we learn the group_by()
verb below.
You may have noticed that the syntax and function of all these verbs are very similar:
The first argument is a data frame.
The subsequent arguments describe what to do with the data frame. You can refer to columns in the data frame directly without using $
.
The result is a new data frame
Together these properties make it easy to chain together multiple simple steps to achieve a complex result.
These five functions provide the basis of a language of data manipulation. At the most basic level, you can only alter a tidy data frame in five useful ways: you can reorder the rows (arrange()
), pick observations and variables of interest (filter()
and select()
), add new variables that are functions of existing variables (mutate()
), or collapse many values to a summary (summarise()
).
%>%
The dplyr API is functional in the sense that function calls don’t have side-effects. You must always save their results. This doesn’t lead to particularly elegant code, especially if you want to do many operations at once. You either have to do it step-by-step:
a1 <- group_by(starwars, species, sex)
a2 <- select(a1, height, mass)
a3 <- summarise(a2,
height = mean(height, na.rm = TRUE),
mass = mean(mass, na.rm = TRUE)
)
Or if you don’t want to name the intermediate results, you need to wrap the function calls inside each other:
summarise(
select(
group_by(starwars, species, sex),
height, mass
),
height = mean(height, na.rm = TRUE),
mass = mean(mass, na.rm = TRUE)
)
#> Adding missing grouping variables: `species`, `sex`
#> `summarise()` has grouped output by 'species'. You can override using the `.groups` argument.
#> # A tibble: 41 x 4
#> # Groups: species [38]
#> species sex height mass
#> <chr> <chr> <dbl> <dbl>
#> 1 Aleena male 79 15
#> 2 Besalisk male 198 102
#> 3 Cerean male 198 82
#> 4 Chagrian male 196 NaN
#> # … with 37 more rows
This is difficult to read because the order of the operations is from inside to out. Thus, the arguments are a long way away from the function. To get around this problem, dplyr provides the %>%
operator from magrittr. x %>% f(y)
turns into f(x, y)
so you can use it to rewrite multiple operations that you can read left-to-right, top-to-bottom (reading the pipe operator as “then”):
The dplyr verbs can be classified by the type of operations they accomplish (we sometimes speak of their semantics, i.e., their meaning). It’s helpful to have a good grasp of the difference between select and mutate operations.
One of the appealing features of dplyr is that you can refer to columns from the tibble as if they were regular variables. However, the syntactic uniformity of referring to bare column names hides semantical differences across the verbs. A column symbol supplied to select()
does not have the same meaning as the same symbol supplied to mutate()
.
Selecting operations expect column names and positions. Hence, when you call select()
with bare variable names, they actually represent their own positions in the tibble. The following calls are completely equivalent from dplyr’s point of view:
# `name` represents the integer 1
select(starwars, name)
#> # A tibble: 87 x 1
#> name
#> <chr>
#> 1 Luke Skywalker
#> 2 C-3PO
#> 3 R2-D2
#> 4 Darth Vader
#> # … with 83 more rows
select(starwars, 1)
#> # A tibble: 87 x 1
#> name
#> <chr>
#> 1 Luke Skywalker
#> 2 C-3PO
#> 3 R2-D2
#> 4 Darth Vader
#> # … with 83 more rows
By the same token, this means that you cannot refer to variables from the surrounding context if they have the same name as one of the columns. In the following example, height
still represents 2, not 5:
height <- 5
select(starwars, height)
#> # A tibble: 87 x 1
#> height
#> <int>
#> 1 172
#> 2 167
#> 3 96
#> 4 202
#> # … with 83 more rows
One useful subtlety is that this only applies to bare names and to selecting calls like c(height, mass)
or height:mass
. In all other cases, the columns of the data frame are not put in scope. This allows you to refer to contextual variables in selection helpers:
name <- "color"
select(starwars, ends_with(name))
#> # A tibble: 87 x 3
#> hair_color skin_color eye_color
#> <chr> <chr> <chr>
#> 1 blond fair blue
#> 2 <NA> gold yellow
#> 3 <NA> white, blue red
#> 4 none white yellow
#> # … with 83 more rows
These semantics are usually intuitive. But note the subtle difference:
name <- 5
select(starwars, name, identity(name))
#> # A tibble: 87 x 2
#> name skin_color
#> <chr> <chr>
#> 1 Luke Skywalker fair
#> 2 C-3PO gold
#> 3 R2-D2 white, blue
#> 4 Darth Vader white
#> # … with 83 more rows
In the first argument, name
represents its own position 1
. In the second argument, name
is evaluated in the surrounding context and represents the fifth column.
For a long time, select()
used to only understand column positions. Counting from dplyr 0.6, it now understands column names as well. This makes it a bit easier to program with select()
:
Mutate semantics are quite different from selection semantics. Whereas select()
expects column names or positions, mutate()
expects column vectors. We will set up a smaller tibble to use for our examples.
When we use select()
, the bare column names stand for their own positions in the tibble. For mutate()
on the other hand, column symbols represent the actual column vectors stored in the tibble. Consider what happens if we give a string or a number to mutate()
:
mutate(df, "height", 2)
#> # A tibble: 87 x 5
#> name height mass `"height"` `2`
#> <chr> <int> <dbl> <chr> <dbl>
#> 1 Luke Skywalker 172 77 height 2
#> 2 C-3PO 167 75 height 2
#> 3 R2-D2 96 32 height 2
#> 4 Darth Vader 202 136 height 2
#> # … with 83 more rows
mutate()
gets length-1 vectors that it interprets as new columns in the data frame. These vectors are recycled so they match the number of rows. That’s why it doesn’t make sense to supply expressions like "height" + 10
to mutate()
. This amounts to adding 10 to a string! The correct expression is:
mutate(df, height + 10)
#> # A tibble: 87 x 4
#> name height mass `height + 10`
#> <chr> <int> <dbl> <dbl>
#> 1 Luke Skywalker 172 77 182
#> 2 C-3PO 167 75 177
#> 3 R2-D2 96 32 106
#> 4 Darth Vader 202 136 212
#> # … with 83 more rows
In the same way, you can unquote values from the context if these values represent a valid column. They must be either length 1 (they then get recycled) or have the same length as the number of rows. In the following example we create a new vector that we add to the data frame:
var <- seq(1, nrow(df))
mutate(df, new = var)
#> # A tibble: 87 x 4
#> name height mass new
#> <chr> <int> <dbl> <int>
#> 1 Luke Skywalker 172 77 1
#> 2 C-3PO 167 75 2
#> 3 R2-D2 96 32 3
#> 4 Darth Vader 202 136 4
#> # … with 83 more rows
A case in point is group_by()
. While you might think it has select semantics, it actually has mutate semantics.  This amounts to creating a new column containing the string recycled to the number of rows:


Visiting lecture with composer John MacCallum and dancer/choreographer Teoma Naccarato
Friday, November 14th, Silverstone Building, Room 121, 4pm.
Composer John MacCallum and choreographer Teoma Naccarato, currently research fellows at Ircam in Paris, will present their current collaborative project that examines the use of real-time, heart rate data from contemporary dancers to drive a polytemporal composition for instrumental ensemble with live electronics.
The work explores both the external expression and internal state of each dancer – physical, emotional, and psychological – in order to drive intentional arcs in heart activity over time. ECG data from the dancers provides an underlying clock for each musician, producing dynamic textures of time in the poly-temporal score.
MacCallum and Naccarato will discuss the challenges of developing a facile choreographic and compositional environment for real-time interaction with biosensors, as well as questions regarding internal-external perception and interaction.
##BIOS
##John MacCallum
John MacCallum is a composer based, since 2004, in Oakland, CA. From 2008–2011 he held a position as Musical Applications Programmer at the Center for New Music and Audio Technologies (CNMAT). While there, he designed a number of software tools including one useful for composing and performing music with multiple, independent, smoothly-varying tempos, which resulted in his composition aberration (2010) for percussion trio, the recording of which was supported by a grant from the American Composer’s Forum, and Delicate Texture of Time (2012–13) for eight players commissioned by the Eco Ensemble with a grant from the Mellon Foundation. In addition to his interest in polytemporal music, MacCallum’s compositional work is heavily reliant on technology both as a compositional tool and as an integral aspect of the performance of a piece. His works often employ carefully constrained algorithms that are allowed to evolve differently and yet predictably each time they are performed.
John holds degrees from the University of California, Berkeley (Ph.D. in Music Composition), McGill University (M.M. in Composition), and the University of the Pacific (B.M. in Composition/Theory).
##Teoma Naccarato
Teoma Naccarato is a contemporary dancer, choreographer, educator, and scholar based in Montreal, Canada. Naccarato received an MFA in Dance and Technology at the Ohio State University in 2011, and a BFA in Contemporary Dance at Concordia University in 2004. Naccarato’s creations integrate contemporary dance with responsive video, audio and sensor technologies to explore vulnerability and intimacy in embodied and virtual interactions.
Since 2004 Naccarato Dance has shared work across Canada, the United States, South America, and Europe, with recent presentations at the Hemispheric Institute Encuentro (Montreal 2014), the Rapid Pulse International Performance Art Festival (Chicago 2014), the ReNew Digital Arts Festival (Copenhagen, Denmark (2013), and the TimeWave International (Cyber) Festival (London, UK 2013). Naccarato is involved with interactive media and movement research at the Centre for New Music and Audio Technologies at UC Berkeley (2013-present), the Topological Media Lab at Concordia University (2011-2014), and the Experimental Media and Movement Arts Lab at the Ohio State University (2010-2011).


iBay - eBay's most recent lawsuit recipient
First Name
Last Name
Email
Country Australia Canada USA
Subject


TALES repeat variables
The TALES repeat variable is one of the built-in root variables
which are common to all pages. It provides read-only access to information about the current iteration of a
tal:repeat
repetition.
When a TAL repeat attribute is used, two variables are created of the same name: A local variable, added to the
TALES context, and a repeat variable available under the repeat
root variable. The repeat variable
contains the following members:
| Name | Description |
|---|---|
index |
The numeric item-number, starting from zero |
number |
The number item-number, starting from one |
even |
true if the current number is an even number (divisible by two),
false otherwise
|
odd |
true if the current number is an odd number (not divisible by two),
false otherwise
|
start |
true if the current item is the first iteration,
false otherwise
|
end |
true if the current item is the last iteration,
false otherwise
|
length |
The count of all iterations (note that this will be the same for every iteration) |
letter |
An alphabetic representation of
number , in lowercase.
|
Letter |
An alphabetic representation of
number , in uppercase.
|
Alphabetic representations
Alphabetic representations of numberic values begin with the letter "a", representing 1. They continue with "b" = 2, "c" = 3 and so on.
After "z" = 26, the sequence begins again with an additional character, where "aa" = 27, "ab" = 28 and so on. Thus, 82 would be represented by the sequence "cd". After "zz" = 702, the sequence continues with "aaa" and so on.


{% extends 'layout.server.view.html' %} {% block content %}
Template 'You did something that we didn't expect' and it's your fault. Stop trying to break my stuff, NERD!' {{url}} is not a valid path.


Manages the UI for the BuildObserveState
More...
Manages the UI for the BuildObserveState
◆ Construct()
◆ OnBackButtonPressed()
| void BuildObserveUI.OnBackButtonPressed |
( |
| ) |
|
|
inlineprivate |
◆ OnEditCopyButtonPressed()
| void BuildObserveUI.OnEditCopyButtonPressed |
( |
| ) |
|
|
inlineprivate |
◆ OnRaceButtonPressed()
| void BuildObserveUI.OnRaceButtonPressed |
( |
| ) |
|
|
inlineprivate |
◆ m_backButton
| Button BuildObserveUI.m_backButton |
◆ m_dialogBuilderFactory
◆ m_editCopyButton
| Button BuildObserveUI.m_editCopyButton |
◆ m_raceButton
| Button BuildObserveUI.m_raceButton |
◆ m_state
The documentation for this class was generated from the following file:


Type Rectangle
Namespace RogueSharp
Parent ValueType
Interfaces IEquatable<Rectangle>
A struct that defines a rectangle
Methods
- Contains
- Contains
- Contains
- Equals
- Inflate
- Intersect
- Intersect
- Intersects
- Intersects
- Offset
- Offset
- Union
- Union
Properties
Public instance methods
bool Contains(Rectangle value)
Determines whether this Rectangle entirely contains the specified Rectangle
Parameters
-
Rectangle
value - The Rectangle to evaluate
Returns
-
bool
- True if this Rectangle entirely contains the specified Rectangle; False otherwise
bool Contains(int x, int y)
Determines whether this Rectangle contains a specified point represented by its x and y-coordinates
Parameters
-
int
x - The x-coordinate of the specified point
-
int
y - The y-coordinate of the specified point
Returns
-
bool
- True if the specified point is contained within this Rectangle; False otherwise
bool Contains(Point value)
Determines whether this Rectangle contains a specified Point
Parameters
-
Point
value - The Point to evaluate
Returns
-
bool
- True if the specified Point is contained within this Rectangle; False otherwise
bool Equals(Rectangle other)
Determines whether two Rectangle instances are equal
Parameters
-
Rectangle
other - The Rectangle to compare this instance to
Returns
-
bool
- True if the instances are equal; False otherwise
void Inflate(int horizontalValue, int verticalValue)
Pushes the edges of the Rectangle out by the specified horizontal and vertical values
Parameters
-
int
horizontalValue - Value to push the sides out by
-
int
verticalValue - Value to push the top and bottom out by
void Intersects(Rectangle& value, Boolean& result)
bool Intersects(Rectangle value)
Determines whether this Rectangle intersects with the specified Rectangle
Parameters
-
Rectangle
value - The Rectangle to evaluate
Returns
-
bool
- True if the specified Rectangle intersects with this one; False otherwise
void Offset(Point offsetPoint)
Changes the position of the Rectangles by the values of the specified Point
Parameters
-
Point
offsetPoint - The values to adjust the position of the Rectangle by
void Offset(int offsetX, int offsetY)
Changes the position of the Rectangle by the specified x and y offsets
Parameters
-
int
offsetX - Change in the x-position
-
int
offsetY - Change in the y-position
Public static methods
Rectangle Intersect(Rectangle value1, Rectangle value2)
Creates a Rectangle defining the area where one Rectangle overlaps with another Rectangle
Parameters
Returns
-
Rectangle
- The area where the two specified Rectangles overlap. If the two Rectangles do not overlap the resulting Rectangle will be Empty
void Intersect(Rectangle& value1, Rectangle& value2, Rectangle& result)
void Union(Rectangle& value1, Rectangle& value2, Rectangle& result)
Public properties
int Bottom get;
Returns the y-coordinate of the bottom of the rectangle
Point Center get;
Returns the Point that specifies the center of the rectangle
Rectangle Empty get;
Returns a Rectangle with all of its values set to zero
int Height get; set;
Specifies the Height of the Rectangle
bool IsEmpty get;
Returns a value that indicates whether the Rectangle is empty
true if the Rectangle is empty; otherwise false
int Left get;
Returns the x-coordinate of the left side of the rectangle
Point Location get; set;
Gets or sets the Point representing the upper-left value of the Rectangle
int Right get;
Returns the x-coordinate of the right side of the rectangle
int Top get;
Returns the y-coordinate of the top of the rectangle
int Width get; set;
Specifies the Width of the Rectangle
int X get; set;
Specifies the x-coordinate of the Rectangle with 0 being to the left
and increasing as the Rectangle is moved to the right
int Y get; set;
Specifies the y-coordinate of the Rectangle with 0 being at the top
and increasing as the Rectangle is moved downwards


Preparation time
1-2 hours
Cooking time
30 mins to 1 hour
Serves
Makes 9
Dietary
These spiced, boozy Christmas buns are the perfect mid-morning or mid-afternoon festive treat.
Equipment and preparation: For this recipe, you will need a free-standing food mixer fitted with a dough hook and a round 23cm/9in spring form tin.
For the spice mixture, grind the ingredients to a fine powder in a pestle and mortar or spice grinder. Set aside.
For the roll, put the yeast and a little water in a small saucepan and warm gently. Place the flour, sugar, salt and yeast mixture into a free-standing food mixer fitted with a dough hook. Set the motor running at a slow speed, then gradually pour in 450ml/¾ pint of cold water until the mixture comes together as an elastic dough and starts sticking to the edges of the mixing bowl (You may not need to use all of the water.).
Cover the bowl with a clean tea towel and set aside in a warm room for about 20 minutes, or until the dough has doubled in size.
When the dough has risen, turn it out onto a lightly floured work surface and knock it back. Roll the dough out to a rectangle measuring 60cmx30cm/24inx12in.
Lay the slices of chilled butter in two lines down one side of the dough rectangle. Fold the other half of the dough over the buttered half, pressing down gently at the edges to seal. Bash the filled dough with a rolling pin, then roll out again into another rectangle measurung 60cmx30cm/24inx12in.
Fold each of the short edges of the dough rectangle into the centre so that they meet in the middle, then fold the rectangle again like a book. Repeat the bashing, rolling and folding process twice more, then wrap the dough in cling film and chill in the fridge for one hour.
Roll the chilled dough out into a rectangle measuring 30cmx45cm/12inx18in and approximately 1cm/½in thick. Set aside.
For the filling, mix all the ingredients together in a bowl until well combined.
Spread filling evenly over the dough, then roll up the dough tightly, starting at the longest side closest to you. Cut the roll into 9 slices, each 5cm/2in thick.
Grease a 23cm/9in circular springform cake tin with butter. Place one of the roll slices in the centre, standing upright, then arrange the remaining 8 slices around it. Make sure they are not too tightly packed. Set aside to prove again for 35-40 minutes, or until doubled in size.
Preheat the oven to 200C/180C Fan/Gas 6.
When the rolls have proved, brush them all over with the beaten egg. Bake in the oven for 40-45 minutes, or until the rolls are golden-brown and have expanded and joined together. Remove from the oven and set aside to cool on a wire rack. Separate once cool enough to handle.
Meanwhile for the icing, mix together the icing sugar, maple syrup and brandy in a bowl until smooth.
To serve, arrange the rolls onto a serving platter. Drizzle the brandy icing over the mulled wine-spiced rolls in a criss-cross pattern.


{% extends "app/layout.html" %} {% block content %} {% if user.is_authenticated %}
Stage manager
Squad and Team manager
Tournament manager
Player manager
Match manager


search
The most mastered champions and roles by this summoner
Mastery Level: {[beatdata.mastery[0].championLevel]}
Highest Grade: {[beatdata.mastery[0].highestGrade]}
Mastery Level: {[data.championLevel]}
Highest Grade: {[data.highestGrade]}
Previous
Next
Main Roles (in descending order)
{[role]}
Current Game
Blue Team
{[summoner.summonerName]}
Red Team
{[summoner.summonerName]}


Review the The Eight Key Questions (8KQ) handbook produced by James Madison University then answer the questions below.
" James Madison University (JMU). 2020. 8KQ Handbook."
Which of the following Key questions is associated wtih empathy?
There are no hints for this question


Phylogenetic analysis of Tartary buckwheat RDR, DCL and AGO proteins. The corresponding proteins of Arabidopsis, maize, and rice were also used to construct the phylogenetic tree. The phylogenetic tree was constructed by using MUSCLE and MEGA 7.0 with the Maximum Likelihood method


Interface GlShaderProgram
-
- All Known Implementing Classes:
BaseGlShaderProgram
,SingleFrameGlShaderProgram
@Deprecated public interface GlShaderProgram
Deprecated.com.google.android.exoplayer2 is deprecated. Please migrate to androidx.media3 (which contains the same ExoPlayer code). See the migration guide for more details, including a script to help with the migration.Processes frames from one OpenGL 2D texture to another.The
GlShaderProgram
consumes input frames it accepts viaqueueInputFrame(GlTextureInfo, long)
and surrenders each texture back to the caller via its listener once the texture's contents have been processed.The
GlShaderProgram
produces output frames asynchronously and notifies its owner when they are available via its listener. TheGlShaderProgram
instance's owner must surrender the texture back to theGlShaderProgram
viareleaseOutputFrame(GlTextureInfo)
when it has finished processing it.GlShaderProgram
implementations can choose to produce output frames before receiving input frames or process several input frames before producing an output frame. However,GlShaderProgram
implementations cannot assume that they will receive more than one input frame at a time, so they must process each input frame they accept even if they cannot produce output yet.The methods in this interface must be called on the thread that owns the parent OpenGL context. If the implementation uses another OpenGL context, e.g., on another thread, it must configure it to share data with the context of thread the interface methods are called on.
-
-
Nested Class Summary
Nested Classes Modifier and Type Interface Description static interface
GlShaderProgram.ErrorListener
Deprecated.Listener for video frame processing errors.static interface
GlShaderProgram.InputListener
Deprecated.Listener for input-related video frame processing events.static interface
GlShaderProgram.OutputListener
Deprecated.Listener for output-related video frame processing events.
-
Method Summary
All Methods Instance Methods Abstract Methods Deprecated Methods Modifier and Type Method Description void
flush()
Deprecated.Flushes theGlShaderProgram
.void
queueInputFrame(GlTextureInfo inputTexture, long presentationTimeUs)
Deprecated.Processes an input frame if possible.void
release()
Deprecated.Releases all resources.void
releaseOutputFrame(GlTextureInfo outputTexture)
Deprecated.Notifies theGlShaderProgram
that the frame on the given output texture is no longer used and can be overwritten.void
setErrorListener(Executor executor, GlShaderProgram.ErrorListener errorListener)
Deprecated.Sets theGlShaderProgram.ErrorListener
.void
setGlObjectsProvider(GlObjectsProvider glObjectsProvider)
Deprecated.Sets theGlObjectsProvider
.void
setInputListener(GlShaderProgram.InputListener inputListener)
Deprecated.Sets theGlShaderProgram.InputListener
.void
setOutputListener(GlShaderProgram.OutputListener outputListener)
Deprecated.Sets theGlShaderProgram.OutputListener
.void
signalEndOfCurrentInputStream()
Deprecated.Notifies theGlShaderProgram
that no further input frames belonging to the current input stream will be queued.
-
-
-
Method Detail
-
setInputListener
void setInputListener(GlShaderProgram.InputListener inputListener)
Deprecated.Sets theGlShaderProgram.InputListener
.The
GlShaderProgram.InputListener
should be invoked on the thread that owns the parent OpenGL context. For example,DefaultVideoFrameProcessor
invokes theGlShaderProgram.InputListener
methods on its internal thread.
-
setOutputListener
void setOutputListener(GlShaderProgram.OutputListener outputListener)
Deprecated.Sets theGlShaderProgram.OutputListener
.The
GlShaderProgram.OutputListener
should be invoked on the thread that owns the parent OpenGL context. For example,DefaultVideoFrameProcessor
invokes theGlShaderProgram.OutputListener
methods on its internal thread.
-
setErrorListener
void setErrorListener(Executor executor, GlShaderProgram.ErrorListener errorListener)
Deprecated.Sets theGlShaderProgram.ErrorListener
.The
GlShaderProgram.ErrorListener
is invoked on the providedExecutor
.
-
setGlObjectsProvider
void setGlObjectsProvider(GlObjectsProvider glObjectsProvider)
Deprecated.Sets theGlObjectsProvider
.This method should not be called after any of the frame processing methods.
-
queueInputFrame
void queueInputFrame(GlTextureInfo inputTexture, long presentationTimeUs)
Deprecated.Processes an input frame if possible.The
GlShaderProgram
owns the accepted frame until it callsGlShaderProgram.InputListener.onInputFrameProcessed(GlTextureInfo)
. The caller should not overwrite or release the texture before theGlShaderProgram
has finished processing it.This method must only be called when the
GlShaderProgram
can accept an input frame.- Parameters:
inputTexture
- AGlTextureInfo
describing the texture containing the input frame.presentationTimeUs
- The presentation timestamp of the input frame, in microseconds.
-
releaseOutputFrame
void releaseOutputFrame(GlTextureInfo outputTexture)
Deprecated.Notifies theGlShaderProgram
that the frame on the given output texture is no longer used and can be overwritten.
-
signalEndOfCurrentInputStream
void signalEndOfCurrentInputStream()
Deprecated.Notifies theGlShaderProgram
that no further input frames belonging to the current input stream will be queued.Input frames that are queued after this method is called belong to a different input stream.
-
flush
void flush()
Deprecated.Flushes theGlShaderProgram
.The
GlShaderProgram
should reclaim the ownership of its allocated textures, notify itsGlShaderProgram.InputListener
about the flush event, and report its availability if necessary.
-
release
void release() throws VideoFrameProcessingException
Deprecated.Releases all resources.- Throws:
VideoFrameProcessingException
- If an error occurs while releasing resources.
-
-


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Naive implementation of bi-dimensional discrete correlation.
%matplotlib inline
# Visualization
import matplotlib as mpl
import matplotlib.pyplot as plt
import matplotlib.patches as patches
# Math and matrix operations
import numpy as np
# Image IO
import imageio
# Performance
from numba import jit, prange
# Utils
from _utils import *
import warnings
warnings.filterwarnings('ignore')
M, N = 7, 7
x = np.zeros((M, N))
x[M//2, N//2] = 1
h = np.arange(9).reshape(3, 3) + 1
@jit(nopython=True, parallel=True)
def xcorrelate(x, h):
xh, xw = x.shape
hh, hw = h.shape
# Kernel radius
rh, rw = np.array(h.shape)//2
# Init output
output = np.zeros(x.shape)
for n1 in prange(rh, xh-rh):
for n2 in prange(rw, xw-rw):
value = 0
for k1_ in prange(hh):
for k2_ in prange(hw):
k1 = rh - k1_
k2 = rw - k2_
value += h[k1_, k2_]*x[n1 + k1, n2 + k2]
output[n1, n2] = value
return output
print(x, end=' input\n\n')
print(h, end=' kernel\n\n')
print(xcorrelate(x, h), end=' cross correlation\n\n')


{% set title = "About - Alessio Laiso Type" %} {% set description = "Alessio Laiso Type is an independent type foundry established in 2013 and based in Lisbon, Portugal." %} {% set nav_title = "Alessio Laiso Type" %} {% extends "_layout.html" %} {% block content %}
Alessio Laiso Type is an independent type foundry established by Alessio Laiso in 2013. Based in Lisbon, Portugal,
the foundry publishes original retail typefaces and provides custom type services for clients of all sizes around
the world.
In addition to this work, Alessio Laiso speaks at design conferences and meetups, hosts workshops, and collaborates
with open source projects such as Google Fonts.
A variety of international brands have used fonts from Alessio Laiso Type, including eBay, Amazon, USA Today,
GlobalGiving, 7-Eleven and the Italian Space Agency.


# File lib/openid/store/nonce.rb, line 37 def Nonce.check_timestamp(nonce_str, allowed_skew=nil, now=nil) allowed_skew = skew if allowed_skew.nil? begin stamp, foo = split_nonce(nonce_str) rescue ArgumentError # bad timestamp return false end now = Time.now.to_i unless now # times before this are too old past = now - allowed_skew # times newer than this are too far in the future future = now + allowed_skew return (past <= stamp and stamp <= future) end


Before Change
run_experiment(input_features, output_features, rel_path)
// Delete the temporary data created
all_images = glob.glob(os.path.join(image_dest_folder, "*.jpg"))
for im in all_images:
os.remove(im)
os.rmdir(image_dest_folder)
def test_experiment_tied_weights(csv_filename):
After Change
run_experiment(input_features, output_features, data_csv=rel_path)
// Stacked CNN encoder, in_memory = False
input_features[0]["preprocessing"]["in_memory"] = False
rel_path = generate_data(input_features, output_features, csv_filename)
run_experiment(input_features, output_features, data_csv=rel_path)


hello world
ps of TPOLM on the keys
with an important message
for all demoscene freaks
living in the Lisbon area
mark 5 of June 2014
in your calendar
you are summoned
to attend scenept demoilta #1
true demowatching session
where i'll be having a beer
and watching demos
released during May
mother always told me
socializing is important
and demomaking is not a crime
so feel free to drop by
and join me
we have available:
projector
sound system
internet
cooler for the beers
what more could you ask for?
we can shout AMIGA
and spot effects like:
rotating cubes
plasma effects
balls touching
starfields
hypnoglow
scroller effects
and more
entrance fee is one superbock
session starts at 20:30
ends whenever it ends
i work the next day
you can come one hour earlier
and have dinner with me
cafeteria costs 2.40
and closes at 20:30
partyplace is located at:
Artica's headquarters
Madan Park / FCT
edificio 6
Monte da Caparica
Credits:
code & text - ps
music - Sci Fi Industries
Greetings to:
ScenePT AllStars
Nothing
GlenZ
Napalm Core
Volumetric Illusions
Airbag
Radioactive Design
alien)(dream
Spontz
Madwizards
Satori
Rift
MFX
Kewlers
flo
Traction
Accession
xplsv
ate bit
Conspiracy
HiRMU
Jumalauta
Andromeda Software Development
Farbrausch
Kosmoplovci
TPOLM
Enough Records
and you...


Using the Editor API, it is possible to get access to the Swing-based editor which is being used to edit an open file of whatever content type. This would permit you to test what the user was doing with this file; mechanically retrieve and modify text from the open buffer; prevent certain areas of a textual file from being modified by the user; set annotations in the gutter; and so on.
This API also permits a module implementor to add a custom editor for some or all (probably textual) content types. Essentially, any editor implementation may be used which is capable of being embedded as a Swing EditorKit; handling guarded blocks; and handling breakpoints and the like (for Java source).


var socketInterface: SocketInterface?
Sets up the SRT socket listener. Use it to monitor SRT socket connection.
See Also: srt_connect_callback
See Also
SocketInterface


{{Orphan|date=December 2012}}
Albert sauce is a sauce used principally in British cuisine to enhance the flavour of braised beef. It consists of grated horseradish in a clear bouillon, thickened with cream and egg yolks, and spiced with a little prepared mustard diluted in vinegar.
It is named after Prince Albert, Queen Victoria's prince consort.
{{condiment-stub}}


Like is a way to express one's engagement on social media. On instagram, it simply represented as Heart-shaped icons. It has a pop-out interaction on the center of an image when it's touched.
Instagram also uses a verification mark for influencers to avoid fraud issues. Instagram rewards real accounts with the blue badge to ensure authority.
read more...
Youtube utilizes different types of buttons to reward Youtube creators who surpasses a certain number of subscribers. Youtube also send out a flat trophy to reward them. Although they do have Like buttons for each video clip, those rewards do not count them.
read more...
Facebook invented Like button first time ever in web culture. Instead of leaving comments on posts, users can easily react with Likes. They then added more emotions such as Love, Angry, Wow, Sad, and Laugh. Currently they also expanded reactions by adding Care reaction, showing respect and support for users during pandemic.
go back to 1994


Matt MillerFounder
Matt comes to Stories as a veteran technology entrepreneur and manager. He has worked in New York technology companies for more than 15 years, with experience in both start-ups and well-established firms. Most recently, Matt served as CTO of Amplify Insight, an education technology company, where he led development of several industry-leading literacy and math products, reaching millions of students in all 50 states. Matt holds BS and MS degrees in Computer Science from Columbia University.
Maggie PounceyFounder
Maggie is the author of the novel Perfect Reader (Pantheon, 2010). Her work has appeared in Fence, The New York Times Book Review and other places. A teaching artist for over a decade, she has taught writing workshops in many contexts, from poetry workshops for second and third graders in Long Island, to essay writing for inmates at a medium security prison through the Bard Prison Initiative. She has taught high schoolers in all genres of creative writing through Columbia's summer program and the non-profit Girls Write Now, where she served as the volunteer Curriculum Director, and has taught undergraduates at Columbia University and Barnard College. Maggie received her BA and MFA from Columbia.
Heidi Shira TannenbaumBookshop Manager
Heidi has been working at independent bookstores for the last eight years, and it’s all she ever wants to do. She has a B.A. in English from Vassar College and a Masters from the University of Auckland, New Zealand. Besides reading, she likes writing poetry, riding her bike and buying too many books for her nephews. She lives in Brooklyn with her fiancé, also a bookseller, and their cat. Find all three of them on instagram at @indiebookster


Preparation time
less than 30 mins
Cooking time
30 mins to 1 hour
Serves
Serves 4
Preheat the oven to 160C/320F/Gas 2.
Place the honey into a bowl along with the umeboshi paste and fresh ginger and mix well.
Add the sansho pepper, curry powder, five spice powder and ground ginger and stir well.
Heat an ovenproof frying pan until warm and add the duck breast, skin-side down, and cook gently for 3-4 minutes to render the fat out.
Turn the duck over and baste with the honey and spice mixture, then transfer to the oven to roast for 5-6 minutes, or until cooked to your liking.
Remove the duck from the oven, baste with the honey and spice mixture and allow to rest.
To serve, roll a small handful of daikon into a ball. Repeat to create 28 such balls of daikon and place seven around the edge each of four plates.
Place two thin slices of mango on top of each ball of daikon.
Slice the duck into very thin slices and place two pieces on top of each pile of daikon and mango.
Place a piece of fried lotus root to the side of each pile.
Place any remaining daikon, the watercress, shiso leaves, shallot and lemon juice into a bowl and mix well. Place a small handful of this salad into the centre of each plate and serve.


Must visit places in and around Namma-Sirsi for Nature lovers.
It is situated at about 15kms from Sirsi, towards Yellapur Road. The place is admist the forest and the area is calm and quiet. The serenity of River Shalmala and the calm and quietness of the place is worth the visit. Saharalinga is a place where around thousand Lingas have been carved on the rocks in the River Shalmala. Each Lingam here has a carving of Nandi facing it. These Shivalingas is believed to be carved under the patronage of King Sadashivarayavarma, ruler of Sirsi from 1678 to 1718. A large number of devotees visit this place during Mahashivaratri and offer pooja to the Lingas.
This place also contains a hanging bridge which provides the paranomic view of this place. The bridge was recently constructed and connects Hulekal-Bhairumbe from Hulagola villages.
Unchalli falls, also known as Lushington Falls is at a distance of about 40 kms from the town of Sirsi (in Siddapur Taluk) and is a gift of River Aghnashini. Here the river makes a cavalcade of water falls and eventually leaps into a steep valley to form a spectacular, picturesque waterfall. The falls is sometimes called Keppa Joga because of the deafening sound they make. There are three viewpoints from wherein we can enjoy the awesome view of the falls in three diffrent angles. Other significant factor is that the falls has its own beauty in diffrent seasons.
Yana is a village located in forests of Kumta and is famous for the unusual rock formation. It has two massive rock outcrops known as Bhairaveshwara Shikara(390ft) and Mohini Shikara(300ft). These Shikaras also has cave temple below and The Linga there is said to be self manifested. Water that drips from the roof of the cave adds beauty to the place. Being a place of pilgrimage, it attracts a lot of devotees, especially during the festival of Shivaratri.
Bennehole Falls is known for its majestic beauty of white foam as the water rushes out and hence the name(Meaning River of Butter). The falls lies admist the deep forest making it a necessity for the visitor to trek about a distance of 6kms thus enjoying the beauty of nature in the forest.
Shivaganga falls offers mesmerizing view of water plunging into the natural pond. One can also enjoy swimming in this natural pool. There is also a viewpoint of the falls which is at a safe distance. The island of Ganeshpal adds beauty to this place.
Vibhuti falls gets its name from the Lime stone rock nearby. The trek of about 1km, walking below caves of trees and view of falls is delightful.
Burude Falls, also called as Dodmane Falls lies in Siddapur Taluk(20kms from Siddapur). The river flows down in five steps here each forming a nice waterfall. The place is fit for adventurous youths who can enjoy the fun trekking here.


Kyrian BourgiWelcome to my Personal Website 🚀 I am a Business Developer, Data Analyst & Webdeveloper, based in Berlin. My experience and knowledge in business analytics, along with my entreprenarial skills and values are integral to my person as a researcher, market analyst, and business strategist. |
| Work | Dates |
|---|---|
| Business Analyst, Onepark | Berlin, September 2019 - February 2020 |
| Technical Key Account Management, Deutsche Börse | Praha, May 2019 - September 2019 |
| Venture Capital Intern, Wamda Capital | Dubai, Janvier 2018 - June 2018 |
|
|


Gov. Ayade dissolves task force, appoints interim committee
by Lawal SherifatGov. Ben Ayade of Cross River has approved the dissolution of the state anti-deforestation task-force with immediate effect.
This is contained in a statement by Mr. Christian Ita, Special Adviser to the governor on Media and Publicity and made available to the News Agency of Nigeria (NAN) on Monday in Calabar.
Ayade said that the approval of the interim task-force was to continue the enforcement of the anti-deforestation policy of the government.
READ ALSO: No more tax for okadamen, barbers, taxi drivers, hair stylists, others — Ayade
“The new interim task-force has Dr. Odey Oyama as chairman with the 18 Heads of Local Government Administration (HOLGA) as members.
“It should be noted that any HOLGA that allows illegally logged woods to pass through his or her local government area, faces termination from the local government service,” he said.
NAN reports that the former interim anti-deforestation task-force, the team which served for over four months, was headed by Mrs. Florence Inyang as Chairman with other members.


--- title: nbdev_try2.core keywords: fastai sidebar: home_sidebar summary: "Give it another try." description: "Give it another try." ---
say_hello("Sara")
Let's try how to use a database in a way that it will not break CI tests on GitHub...
import sqlite3
import os
DBNAME = "example.sqlite"
if os.path.exists(DBNAME):
print("removing", DBNAME)
os.remove(DBNAME)
conn = sqlite3.connect(DBNAME)
cur = conn.cursor()
cur.execute("""
create table if not exists numbers (
number integer primary key,
name
)
""")
cur.execute("""
insert into numbers (number, name)
values (1, "One"),
(2, "Two"),
(3, "Three"),
(17, "Seventeen")
""")
resu = cur.execute("""
select name from numbers where number = ?
""", (17, )).fetchall()
assert len(resu) == 1, len(resu)
assert resu[0][0] == "Seventeen"
print(resu)
This is working. Also repetitive, because it removes tha database before. So let's try to push it...
Tests succeeded in GitHub, but we have no clue whether it was executed :(
So let's try with something failing...
# assert 1 == 0, "deliberately failing"
This actually passes nbdev_test_nbs
successfully.
Docs say:
Everything that is not an exported cell is considered a test
So, again, something plain wrong :(
Cool, in GitHub it fails properly. But this is even worse, when "tests" run locally but fail in CI.
Now it also fails locally. What kind of ordering mess due to the context change Jupyter vs. shell is now going on? On the other hand we see that at least a small file is possible in GitHub CI.
Bah, it "sometimes" requires saving. But this will create a checkpoint also, which is not wanted. Here the design flaws fully strike back.
Findings:
FTP will be added soon, no worries...
import requests
r = requests.get("https://httpbin.org/get", headers={"accept": "application/json"})
assert r.status_code == 200, r.status_code
print(r.json())
assert r.json()["url"] == 'https://httpbin.org/get'
That actually, and incredibly, works with GitHub CI. Seems there is a limit of 500 M of storage and 2,000 min of compute per month. It's unclear whether and how storage aggregates. See here when logged in.
Now let's try whether it really does the call...
import requests
r = requests.get("https://httpbin.org/get", headers={"accept": "application/json"})
assert r.status_code == 200, r.status_code
print(r.json())
assert r.json()["url"] == 'https://httpbin.org/gex', r.json()["url"]


Phonon v2
v2.0.0-alpha.1 is here!
After more than 250 commits after the latest v1 commit,
we are happy to announce a new experience starting with Phonon 2!
The framework has been completely rewritten to make substantive improvements
and making full use of ECMAScript 6 features (ES6).


"RAMATH OF THE SOUTH "(Hebrews Ramath-negeb). The Hebrews negeb is the general designation for south or south-west of Judah. This was one of the towns of Simeon (Joshua 19:8). It is the same as “south Ramoth” (1 Samuel 30:27; R.V., “Ramoth of the south”). Its site is doubtful. Some have thought it another name for Baalath-beer.
"RAMATH OF THE SOUTH "(Hebrews Ramath-negeb). The Hebrews negeb is the general designation for south or south-west of Judah. This was one of the towns of Simeon (Joshua 19:8). It is the same as “south Ramoth” (1 Samuel 30:27; R.V., “Ramoth of the south”). Its site is doubtful. Some have thought it another name for Baalath-beer.


Creates a new instance of the persistence component.
(optional) a queue name
(optional) a capabilities of this message queue
Returnes message into the queue and makes it available for all subscribers to receive it again. This method is usually used to return a message which could not be processed at the moment to repeat the attempt. Messages that cause unrecoverable errors shall be removed permanently or/and send to dead letter queue.
a message to return.
(optional) callback function that receives an error or null for success.
Listens for incoming messages without blocking the current thread.
(optional) transaction id to trace execution through call chain.
a receiver to receive incoming messages.
Checks if the queue has been opened
(optional) transaction id to trace execution through call chain.
Error if queue wasn't opened or null
otherwise
Clears component state.
(optional) transaction id to trace execution through call chain.
callback function that receives error or null no errors occured.
Closes component and frees used resources.
(optional) transaction id to trace execution through call chain.
callback function that receives error or null no errors occured.
Permanently removes a message from the queue. This method is usually used to remove the message after successful processing.
a message to remove.
(optional) callback function that receives an error or null for success.
Configures component by passing configuration parameters.
configuration parameters to be set.
Ends listening for incoming messages. When this method is call listen unblocks the thread and execution continues.
(optional) transaction id to trace execution through call chain.
Gets the queue capabilities
the queue's capabilities object.
Gets the queue name
the queue name.
Checks if the component is opened.
true if the component has been opened and false otherwise.
Listens for incoming messages and blocks the current thread until queue is closed.
(optional) transaction id to trace execution through call chain.
a receiver to receive incoming messages.
Permanently removes a message from the queue and sends it to dead letter queue.
a message to be removed.
(optional) callback function that receives an error or null for success.
Opens the component.
(optional) transaction id to trace execution through call chain.
callback function that receives error or null no errors occured.
Opens the component with given connection and credential parameters.
(optional) transaction id to trace execution through call chain.
credential parameters
callback function that receives error or null no errors occured.
Peeks a single incoming message from the queue without removing it. If there are no messages available in the queue it returns null.
(optional) transaction id to trace execution through call chain.
callback function that receives a message or error.
Peeks multiple incoming messages from the queue without removing them. If there are no messages available in the queue it returns an empty list.
Important: This method is not supported by MQTT.
(optional) transaction id to trace execution through call chain.
a maximum number of messages to peek.
callback function that receives a list with messages or error.
Reads the current number of messages in the queue to be delivered.
callback function that receives number of messages or error.
Receives an incoming message and removes it from the queue.
(optional) transaction id to trace execution through call chain.
a timeout in milliseconds to wait for a message to come.
callback function that receives a message or error.
Renews a lock on a message that makes it invisible from other receivers in the queue. This method is usually used to extend the message processing time.
a message to extend its lock.
a locking timeout in milliseconds.
(optional) callback function that receives an error or null for success.
Sends a message into the queue.
(optional) transaction id to trace execution through call chain.
a message envelop to be sent.
(optional) callback function that receives error or null for success.
Sends an object into the queue. Before sending the object is converted into JSON string and wrapped in a MessageEnvelope.
(optional) transaction id to trace execution through call chain.
a message type
(optional) callback function that receives error or null for success.
Sets references to dependent components.
references to locate the component dependencies.
Subscribes to the message broker.
(optional) transaction id to trace execution through call chain.
callback function that receives error or null no errors occured.
Gets a string representation of the object.
a string representation of the object.
Unsubscribes from the message broker.
(optional) transaction id to trace execution through call chain.
callback function that receives error or null no errors occured.
Generated using TypeDoc
Message queue that caches received messages in memory to allow peek operations that may not be supported by the undelying queue.
This queue is users as a base implementation for other queues


{% include 'profile/_blocks/_stat_list.html' with stat=villagescovered.total_villages stat_type='number' %}
{% include 'profile/_blocks/_stat_list.html' with stat=ruralpopcovered.total_population stat_type='number' %}
{% include 'profile/_blocks/_stat_list.html' with stat=nursestaffphcschcs.total_nursestaffphcschcs stat_type='number' %}
Doctors
{% include 'profile/_blocks/_stat_list.html' with stat=allopathicdocphcs.total_allodoc stat_type='number' %}
{% include 'profile/_blocks/_stat_list.html' with stat=doctorsdissubhospital.total_disdoctor stat_type='number' %}
Physician & Surgeons
{% include 'profile/_blocks/_stat_list.html' with stat=physicianchcs.total_physicianchcs stat_type='number' %}
{% include 'profile/_blocks/_stat_list.html' with stat=surgeonchcs.total_surgeonchcs stat_type='number' %}
Radiographer & Pharmacist
{% include 'profile/_blocks/_stat_list.html' with stat=radiographerchcs.total_radiographerchcs stat_type='number' %}
{% include 'profile/_blocks/_stat_list.html' with stat=pharmacistphcschcs.total_pharmacistphcschcs stat_type='number' %}
Workers at subcentre
{% include 'profile/_blocks/_stat_list.html' with stat=workersubcentre.total_workersubcentre stat_type='number' %}
Workers by gender and availability
Assistant in PHCS
{% include 'profile/_blocks/_stat_list.html' with stat=assistantphcs.total_assistantphcs stat_type='number' %}
Assistant by gender and availability
Facilities in CHCS
Facilities in PHCS


Sandia National Laboratories:
Cedric Chevalier (currently at CEA, DAM, France)
Robert Heaphy
Bruce Hendrickson
Matthew St. John
Courtenay Vaughan
Michael Wolf
|
Ohio State University
Doruk Bozdag
|
Williams College
James Teresco
|
National Institute of Standards and Technology
William F. Mitchell
|
Rensselaer Polytechnic Institute
Jamal Faik
Luis Gervasio
|


L for Lucinda
presents: Twinsie Toss
Credits: Concept by Lucinda Cort, Programming by Thomas Cort, Artwork by GrafxKid, Sound Effects by Kenney


Preparation time
over 2 hours
Cooking time
1 to 2 hours
Serves
Serves 4-6
James Martin's oven-baked take on a toasted sandwich combines homemade sourdough bread with a Mediterranean filling.
For this recipe, you will need a freestanding mixer with a dough hook.
For the bread sponge, in a bowl, mix together the flours, yeast and sugar until well combined. Whisk in the water to form a thick batter, then cover and set aside to ferment for 1½ hours.
For the bread, when the bread sponge has fermented, scrape the bread sponge into a freestanding mixer fitted with a dough hook. Add the flour, semolina flour and salt, then start the machine running (cover the bowl if possible).
Pour in 300ml/10½fl oz of the water, adding the remaining water little by little once the mixture has come together as a soft dough.
Turn out the bread dough onto a lightly floured work surface and knead for a few minutes until smooth and elastic, then return the dough to the bowl, cover loosely with a greased piece of cling film and set aside to prove for 1½ hours.
Knock back the dough by punching the air out of it several times, then divide the dough in half. Knead each half lightly then roll both into a baguette shape with pointed ends.
Transfer the baguettes to a baking tray and make several slashes into the top of each using a sharp knife. Set the baguettes aside to prove again for 1 hour.
When the baguettes have proved, preheat the oven to 220C/200C Fan/Gas 7. Bake the bread in the oven for 45 minutes, then set aside to cool before slicing.
For the hot tinned sandwich, reduce the oven temperature to 200C/180C Fan/Gas 6. Line a 1kg/2lb 4oz loaf tin with greased aluminium foil (the greased side should face upwards).
Blend three-quarters of the rocket, half the basil, and all of the garlic, parmesan and olive oil to a smooth but grainy consistency in a food processor, or pound it using a pestle and mortar. Add the pine nuts and season, to taste, with freshly ground black pepper, then blend or pound the pesto again until well combined.
Spread two slices of baguette with pesto, then fill this sandwich with a layer of rocket leaves, basil leaves, mozzarella, and serrano ham. Repeat the process with the remaining bread and fillings.
Pack the sandwiches tightly into the prepared loaf tin, then fold the foil over the top so that the sandwiches are completely enclosed in the foil.
Cook the sandwiches in the oven for 25-30 minutes, or until the cheese has melted and the sandwiches are completely heated through.
Unwrap the sandwiches and serve immediately.


MONARCH A film review by Steve Rhodes Copyright 2000 Steve Rhodes RATING (0 TO ****): **
MONARCH is an atmospheric tale of plotting and intrigue set during one of those classic dark and stormy nights. This "god-forsaken night" occurs during the last year of the reign of Britain's King Henry VIII in 1547. Having the claustrophobic feel of a filmed play, which it apparently is not, the movie takes place within the confines of a few sparsely furnished rooms of a large manor house, which is surprisingly guarded by only one young man, Will (Mark Montgomerie).
Written, directed, produced and edited by John Walsh, the movie creates handsome images but has trouble crafting a compelling story. The plot has the aged king being attacked, injured and taken to the manor house. Since only the king is hurt and no money is taken, the six aides who accompany him assume that it must have been a failed assassination attempt.
These six aides are quintessential court schemers. Lurking in the shadows of the house they speculate on who is plotting against whom about what. Looking similar and dressed in identical black robes, the actors play almost interchangeable parts. Jean Marsh, in Henry's hallucinations, shows up in a cameo as the amalgamation of all of his wives.
At one point the movie looks like it may turn into something akin to THE TEN LITTLE INDIANS, but, alas, it is never that exciting. Instead, the movie just drifts until daybreak ends the story. Most of the movie is as obvious as its metaphors. "There is always something rotten at the core," one of the king's aides tells Will after they make him bite into a worm-infested apple.
Although it is handsomely filmed and reasonably acted, the movie's most memorable moments come from the rain and wind. It's not a good sign when the best parts of a drama are the sound effects.
MONARCH runs 1:39. It is not rated but would be an R for a few scenes of violence. It would be acceptable for most teenagers.
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rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
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belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Midway review – sinks like a depth charge
by Wendy IdeImpressive aerial battle scenes haven’t a hope of rescuing this jaw-jutting, second world war tosh
The second world war. The US is caught on the back foot after the Japanese attack on Pearl Harbor. The Japanese are better equipped; the American fighter planes are creaky crates, and their torpedoes have all the destructive power of conkers. But, as this macho war wank from Roland Emmerich argues, the US had one thing in its favour: its men. All the most enormous, jutting, chiselled chins in Hollywood are called up to do their duty, and armed with lines of dialogue that sink like depth charges.
In fairness, the screenplay, by Wes Tooke, was never intended to be the main attraction here; the priorities in this account of the Battle of Midway are the admittedly impressive aerial battle sequences, featuring numerous gut-churning plunges as the US pilots dive-bomb the enemy ships.
British actor Ed Skrein stars as the most reckless of all the flyboys, Dick Best; Woody Harrelson dons a silver wig and an expression of noble fortitude as Admiral Chester Nimitz. Every tired war movie cliche is unearthed in a film that brings nothing new but will no doubt please fans of men in uniform yelling at explosions.


Optimal Learning Rate :
-
Optimal Learning Rate can be calculated by using tensorflow's integrated callback API called LearningRateScheduler()
As it appears, the model is able to learn swiftly when the learning rate is between lr = 0.01 to 0.001.
{% extends 'base.html' %} {% block title %}
GitHub : @Palash-s
Optimal Learning Rate can be calculated by using tensorflow's integrated callback API called LearningRateScheduler()
As it appears, the model is able to learn swiftly when the learning rate is between lr = 0.01 to 0.001.
At the beginning, there was some fluctuation in val_loss however, the loss was always below 0.05 scale. Over the 50 iterations, the measured loss was 0.038 on validation data.
At the beginning, there was some fluctuation in val_loss however, the loss was always below 0.05 scale. Over the 50 iterations, the measured loss was 0.038 on validation data.
Later the model was evaluated on the test data and the measured loss was 0.0062 which is way better than the expectation.
After 50 iterations, the measured accuracy was 0.983
On the other hand, as it can be guessed, since the loss evaluation on test data was 0.0062, the evaluated accuracy on test data was near around 0.999.
Therefore, it can be concluded that the model is able to train and perform very well in order to predict the exact cotton leaf class.
CNN Model : The proposed model is consist of 4 convolutional layers with a variation of filter and kernel size from 32 to 128 and (3,3) to (2,2) respectively.
Activation Function : The entire model benefits from RELU activation function, except for the last output dense layers makes use of sigmoid activation function since it's a binary classification problem.
Loss and Accuracy : To make precise predictions, first the optimal learning rate is calculated and then based on that the proposed model is trained. Upon evaluation on testing data, the proposed model yields the accuracy of 99.9% with a bare minimum loss of 0.006% which is a state-of-the-art Performance and in fact is able to classify cotton leaf correctly.
What's Next ? With same efforts by collecting more relevant data, a new model will we introduced which will be able to classify cotton leaf infection based on it's type and category.


Models
-
Build configuration.
- debug: debug build configuration.
- release: release build configuration.
Declaration
Swift
enum BuildConfiguration: String
-
Project target.
See moreDeclaration
Swift
class Target: GraphJSONInitiatable, Equatable
-
Workspace that references other projects.
See moreDeclaration
Swift
class Workspace: Equatable
-
Represents project or target build settings.
See moreDeclaration
Swift
class Settings: GraphJSONInitiatable, Equatable
-
Declaration
Swift
enum Platform: String
-
Product type.
- app: application.
- staticLibrary: static library.
- dynamicLibrary: dynamic library.
- framework: framework.
- unitTests: unit tests.
- uiTests: ui tests.
- appExtension: application extension.
- watchApp: watchOS 1 application.
- watch2App: watchOS version >= 2 application.
- watchExtension: watchOS 1 extension.
- watch2Extension: watchOS version >=2 extension.
- tvExtension: tvOS extension
- messagesApplication: iMessage application.
- messagesExtension: iMessage extension.
- stickerPack: Stickers pack.
Declaration
Swift
public enum Product: String


Following new state legislation, the Texas Education Agency has designed a new academic accountability system that places more emphasis on student progress and relative performance. Enter an Bexar, Comal, Kendall or Medina County school or district name below to see how it performed.
Overall accountability score
The overall score is a merge of the four scores below. Closing the gaps is weighted at 30% with the best score among the other three factors making up the remaining 70%.
Student achievement score
Measures raw performance on standardized tests, as well as graduation rates and college and career readiness measures.
School performance: academic growth score
Measures how much students progressed year-over-year, rewarding students even if their raw score remains relatively low.
School performance: relative performance score
Measures student achievement compared with schools with similar percentages of economically disadvantaged students.
Closing the gaps score
Measures the relative performance of students from various demographic groups.
Use the table below to search and compare the 2018 accountability ratings for different Bexar, Comal, Kendall or Medina County schools
| School | Grades | Rating | Score |
|---|


The Best Christmas Gifts for PC Gamers
by Leah WilliamsPurchasing Christmas gifts for PC gamers can be difficult.
Having said that, there's plenty of great PC gaming accessories and gifts available for the budding gamer, you just need a discerning eye. To get you started, here are a few of our favourite PC gaming gift ideas.
Razer Kraken Kitty Edition
You want to look your best while you game, and who wouldn't want to look their best while also being a cat? Everybody wants to be a cat. Razer's newest headset is not only cute, it comes with full Chroma integration, meaning that the ears and outer rim of the headset lights up. This can be synced with Razer's Chrome app and customised as you see fit. It also comes in black.
Glorious Model O Gaming Mouse
Here at Gizmodo, we like things that are nice, different and unusual. The brand new Glorious Model O gaming mouse is all of these things, and then more. It's got a sick design and unique lighting, making it stand out against its competitors. Being able to see the inner workings of the mouse is also a really cool bonus.
Philips Hue Play 2 Pack
Smart lights are cool now, and they'll make your gaming set up even cooler (or warmer). These are the perfect addition to a PC gaming set up, and also sync directly up with both the Philips Hue light app and Razer's Chroma Studio for a customised and integrated light show.
Essentially, they're ambient lights, and when hooked up with a PC they can replicate whatever lights and colours are on the screen. They're a fun and nifty little gadget that'll lend a hint of epicness to any game.
Steam Gift Card
Buying games for a gamer can be tricky, which is why getting a gift card for their platform of choice is a much better idea. For PC gamers, the easiest option is a Steam gift card, which come in denominations of £4, £10, £25, £50 or £100. It's not as cheap as tossing a few notes to your giftee and gives them the choice of what game they'd like to purchase. It also means you don't have to get down into the nitty gritty of figuring out which games are hot right now if you're not already familiar with them.
Xbox One Controller
Wait, an Xbox controller for a PC gamer? Yup. The Xbox One controller is one of the most adaptable controllers on the market, and it's perfect for PC gaming. It connects via a simple USB cable and completely integrates into any and all games. Most PC games will also default to the Xbox button layout if a controller is plugged in, so it makes sense to invest in a sturdy, compatible controller.
Blue Yeti Nano Premium USB Mic
In the heat of battle, you often need your communication skills to get you out of a bind. That's why the Blue Yeti Nano microphone comes recommended as a high quality streaming and gaming mic. It's reasonably priced, has great sound recording and often finds itself on 'best of gaming' lists year round. This one is a solid pur
chase for anyone who games online, streams or creates content.
Logitech G560 Lightsync PC Gaming Speakers
The Logitech G560 Lightsync gaming speakers are pretty frickin' awesome. Not only do they feature booming sound quality and gnarly bass, the RGB lighting interacts with whatever game you're playing on and changes colour accordingly. Does anyone need speakers that also light up? Probably not, but where's your sense of fun? The G560s are awesome.
13.3" Razer Blade Stealth
You'll have to really love someone to fork out for the new Razer Blade Stealth, but if you did, it's a solid little machine for gaming. Starting from £1,230, it features a Core i7 processor and solid options for graphics. The top of the range houses a NVIDIA GeForce GTX 1650, a 4K screen and 16GB of RAM. Plus, it's very sleek and stylish.
Gizmodo Australia is gobbling up the news in a different timezone, so check them out if you need another Giz fix.


Preparation time
less than 30 mins
Cooking time
10 to 30 mins
Serves
Serves 1
Preheat the oven to 180C/350F/Gas 4.
For the stuffed chicken breast, remove the mini-fillet from the underside of the chicken breast and set aside. Cut a slit horizontally through the length of the chicken breast to make a pocket inside the breast.
Blanch the sliced leeks in boiling salted water for 3-4 minutes, or until softened and then drain.
In a bowl, finely chop the reserved chicken mini-fillet and place into a bowl. Mash slightly with a fork to make a paste, then stir in the blanched leeks, basil, ginger, double cream, salt and freshly ground black pepper.
Spoon the mixture into the pocket in the chicken breast and pull the flesh over to seal the filling inside. Roll the chicken in the sesame seeds.
Heat the olive oil in a frying pan, add the chicken and fry on all sides until golden-brown. Wrap the chicken in aluminium foil, place in the oven and bake for ten minutes, or until completely cooked through. Set aside, in a warm place, to rest for five minutes and then slice into four pieces.
For the creamy leek sauce, melt the butter in a saucepan, add the leeks and fry gently for three minutes, or until softened. Add the garlic and curry powder and fry for one minute. Add the wine and simmer for 2-3 minutes. Add the cream, salt and freshly ground black pepper and simmer until the liquid has reduced by half.
For the crisp fried cabbage, place the vegetable oil into a deep, heavy-based saucepan and heat until a small cube of bread sizzles and turns golden-brown when dropped into it. (CAUTION: hot oil can be dangerous. Do not leave unattended.) Carefully place the shredded cabbage into the hot oil and fry for 30 seconds, or until crisp. Remove with a slotted spoon, drain on kitchen paper and then sprinkle with the sugar and salt.
 Garnish with a quartered plum tomato.


 Our main target is to research, develop, and invent solutions in collaboration with Digile N4S-Program partners.
More About N4SWe build experiences
Yes, we build products and experiences. Here is collection of works done with N4S@JAMK and Challenge Factory 2014 teams during the N4S-Program.
We are looking for talents all the time. If you have the urge to stay on top of the IT evolution, we would like to hear from you. And if you just want to come and say hello, we are in with that also. Let's improve the process of software delivery together. We have coffee, you can bring some korvapuusti!


...
Example rect01 - rectangle with sharp corners
Irving Bird
Mary Lambert
Example rect02 - rounded rectangles
...


I'm A Celebrity's Dec demands to 'take over' from Ant after he fluffs his lines
Ant got his words muddled up twice
by Entertainment DailyDec Donnelly hilariously told his I'm A Celebrity presenting pal Ant McPartlin he was going to 'take over' after he fluffed his lines on last night's show.
The pair were introducing a segment when Ant got his words muddled up not once, but twice.
"So with the full...," Ant began before struggling to get his lines out.
"The twelve celebs all headed back to camp and waiting for them... waiting for them there," he continued.
Read more: I'm A Celebrity: Ian Wright SCREAMS for his mum in tonight's terrifying trial
"I'll get good in a minute!" he quipped.
Ant went on: "And waiting for them there was a brand new red throne and a cabin with two beds."
At that point, Dec cut in and said: "I'll take it from here... The time had come for them to elect a leader."
Ant added: "This show is nothing if not topical."
Read more: Andrew Maxwell breaks down in tears and threatens to quit I'm A Celebrity
Laughing, he joked: "That was good!"
Aside from Ant's little slip, there was praise from viewers for the duo's hilarious one liners last night.
"Catching up on I'm A Celeb. Ant and Dec are villains with their one liners," one fan wrote.
They also won some major brownie points when they entered camp singing 'Rise and Shine' last week.
Ant did his best Kylie Jenner impression when he belted out the lullaby to Caitlyn Jenner and her fellow campmates.
"ANT DID NOT JUST SING RISE AND SHINE IN FRONT OF CAITLYN JENNER OMG STOP," one viewer tweeted.
"I REALLY JUST HEARD ANTHONY MCPARTLIN SING RISE AND SHINE IN FRONT OF CAITLYN JENNER IN THE JUNGLE NAH THIS IS TV GOLD," a second excited viewer tweeted.
- I'm A Celebrity returns to ITV tonight at 9pm
Leave us a comment on our Facebook page @EntertainmentDailyFix and let us know what you think of this story.


--- layout: archive title: Zulip Chat Archive permalink: /stream/224796-Geographic-locality/topic/Bonn.2C.20DE.html ---
Peter Koepke, Adrian De Lon and myself are here.
I currently study for my math b.sc in Bonn. I'm new to computational theorem proving/lean, but find the whole idea very intriguing.
{% endraw %}Last updated: Apr 24 2020 at 19:02 UTC


AIMEX SOFTWARE
JUAN DELACRUZ
PROFILE
LOGOUT
APPLY
MANAGE
COLLECT
SEARCH
REPORT
TIME LOG
ADDITIONAL LOAN
TRANSACTION DETAILS
CLIENT NAME: JUAN DELA CRUZ
TELEPHONE NUMBER: 5321-212
WITHDRAWAL DATE: 04/17/2017
ADDRESS: APALIT, PAMPANGA
PENSION NUMBER: 1231256
BANK: UNIONBANK OF THE PHILIPPINES
INPUT LOAN DETAILS
PENSION AMOUNT:
AMOUNT TO ADD:
SUKLI FROM EXISTING LOAN:
INTEREST RATE (IN %):
1.5
1.75
2
2.5
3
3.5
4
4.5
5
6
7
SERVICE CHARGE:
0
50
100
150
200
250
NOTARIAL FEE:
0
50
100
150
200
250
500
1000
1500
2000
2500
3000
PROCEED