Getting Started with Lwt threads
Lwt is a lightweight cooperative threading library for OCaml. A good way to understand Lwt and its use in MirageOS is to write some simple code. This document introduces the basic concepts and suggests programs to write. Code for all examples is in the mirage-skeleton/lwt/src
repository.
##Basics
The full Lwt manual is available elsewhere, but the minimal stuff needed to get started is here.
The core type in Lwt is a “thread” (also known as a “promise” in some other systems).
An 'a Lwt.t
is a thread that should produce a value of type 'a
(for example, an int Lwt.t
should produce a single int
).
Initially a thread is sleeping (the result is not yet known). At some point, it changes to be either returned (with a value of type 'a
) or failed (with an exception). Once returned or failed, a thread never changes state again.
Lwt provides a number of functions for working with threads.
The first useful function is return
, which constructs a trivial, already-returned thread:
val return: 'a -> 'a Lwt.t
This is useful if an API requires a thread, but you already happen to know the value.
Once the value is wrapped in its Lwt thread, it cannot directly be used (as in general a thread may not have terminated yet). This is where the >>=
operator (pronounced “bind”) comes in:
val ( >>= ): 'a Lwt.t -> ('a -> 'b Lwt.t) -> 'b Lwt.t
t >>= f
creates a thread which first waits for thread t
to return some value x
, then behaves as the new thread f x
. If t
is a sleeping thread, then t >>= f
will initially be a sleeping thread too. If t
fails, then the resulting thread will fail with the same exception.
If you ignore the Lwt.t
bits in the types above, you can see that return
looks like the identity function and >>=
looks like |>
(“pipe” or “apply”).
You can convert any synchronous program into an equivalent Lwt-threaded one using just >>=
and return
.
For example consider this code to input two values and add them:
let x =
let a = get_input "Enter a" in
let b = get_input "Enter b" in
a + b
Removing the let ... in ...
syntax, we could also write:
let x =
get_input "Enter a" |> fun a ->
get_input "Enter b" |> fun b ->
a + b
If the get_input
function’s type is changed from string -> int
to the threaded-equivalent, string -> int Lwt.t
, then our example could be changed to:
let x =
get_input "Enter a" >>= fun a ->
get_input "Enter b" >>= fun b ->
Lwt.return (a + b)
Note that the final result, x
, is itself a thread now.
Since we didn’t change +
to return a thread, we must wrap the result with return
to give it the correct type.
Of course, the reason for using Lwt is to write programs that do more than just behave like synchronous programs: we want to be doing multiple things at once, by composing threads in more ways than just “a then b”.
Two important functions to compose threads are join
and choose
.
val join : unit Lwt.t list -> unit Lwt.t
join
takes a list of threads and waits for all of them to terminate. If at least one thread fails then join l
will fail with the same exception as the first to fail, after all threads terminate.
val choose : 'a t list -> 'a t
choose l
behaves as the first thread in l
to terminate. If several threads are already terminated, one is chosen at random.
The Lwt_list module provides many other functions for handling lists of threads.
Challenge 1: Sleep and join
Now write a program that spins off two threads, each of which sleeps for some amount of time, say 1 and 2 seconds and then one prints “Heads”, the other “Tails”. After both have finished, it prints “Finished” and exits. To sleep for some time use OS.Time.sleep
and to print to the console use C.log_s
. Note that OS
is a Mirage-specific module; if you are using Lwt in another context, use Lwt_unix.sleep
and Lwt_io.write
.
You will need to have MirageOS installed. Create a file config.ml
with the following content:
open Mirage
let () =
let main = foreign "Foo.Main" (console @-> job) in
register "Foo.Main" [
main $ default_console
]
Add foo.ml
with the following content and edit it:
open V1_LWT
open Lwt.Infix (* provides >>= *)
open OS
module Main (C : CONSOLE) = struct
let start c =
(* the guts go here *)
end
Assuming you want to build as a normal Unix process, compile the application with:
mirage configure -t unix
make
./main.native
If you prefer to build as a Xen kernel image, change the -t unix
to -t xen
.
The OS
module packs several sub-modules depending on the backend, unix
or xen.
###Solution
open V1_LWT (* provides the CONSOLE signature *)
open Lwt.Infix (* provides >>= *)
open OS (* provides Time *)
module Main (C : CONSOLE) = struct
let start c =
Lwt.join [
(Time.sleep 1.0 >>= fun () -> C.log_s c "Heads");
(Time.sleep 2.0 >>= fun () -> C.log_s c "Tails")
] >>= fun () ->
C.log_s c ("Finished")
end
This code is also found in lwt/src/unikernels.ml in the mirage-skeleton code repository. Build it by setting the TARGET environment variable to heads1
before running mirage configure
.
##Challenge 2: Looping echo server
Write an echo server that reads from a dummy input generator and, for each line it reads, writes it to the console. The server should stop after reading 10 lines.
Hint: it’s easier to convert a program to use Lwt if you write loops in a functional style (using tail recursion) rather than using special syntax (e.g. while
and for
).
Here is a basic dummy input generator you can use for testing:
let read_line () =
OS.Time.sleep (Random.float 2.5) >|= fun () ->
String.make (Random.int 20) 'a'
By the way, the >|=
operator (“map”) used here is similar to >>=
but automatically wraps the result of the function you provide with return
. It’s used here because String.make
is synchronous (it doesn’t return a thread). We could also have used >>=
and return
together to get the same effect.
###Solution
let start c =
let rec echo_server = function
| 0 -> Lwt.return ()
| n ->
read_line () >>= fun s ->
C.log_s c s >>= fun () ->
echo_server (n - 1)
in
echo_server 10
This is in lwt/src/unikernels.ml in the repository. Build with the target echo_server1
.
Note: Lwt’s >>=
operator does the threaded equivalent of a tail-call
optimisation, so this won’t consume more and more memory as it runs.
##The main event loop
Understanding the basic principles behind Lwt can be helpful.
The core of Lwt is based on an event loop. In “standard” (non-MirageOS) settings,
this loop is started using the Lwt_main.run
function. However, when using
MirageOS, the loop is automatically started by the main.ml
file autogenerated
by the mirage
command-line tool.
Because it’s based on an event loop, threads are very cheap in Lwt when compared to preemptive system threads. Sleeping registers an event that will wake up the associated thread when possible.
##Mutexes and cooperation
With Lwt, it is often possible to avoid mutexes altogether! The web server from the Ocsigen project uses only two, for example. In usual concurrent systems, mutexes are used to prevent two (or more) threads executing concurrently on a given piece of data. This can happen when a thread is preemptively interrupted and another one starts running. In Lwt, a thread executes serially until it explicitly yields (most commonly via >>=
); for this reason, Lwt threads are said to be cooperative.
For example, consider this code to generate unique IDs:
let next =
let i = ref 0 in
fun () ->
incr i;
!i
It is entirely safe to call this from multiple Lwt threads, since we know that incr
, the only function we call, isn’t going to somehow recursively call next
while it’s running.
Calling x >>= f
(and similar) will run other threads while waiting for x
to terminate, and these may well invoke the function again, so you can’t assume things won’t be modified across a bind.
For example, this version is not safe:
let next =
let i = ref 0 in
fun () ->
incr i;
foo () >|= fun () -> (* Another thread might call [next] here *)
!i
Of course, this is true of any function that might, directly or indirectly, call next
, not just Lwt ones.
The obvious danger associated with cooperative threading is having threads not cooperating: if an expression takes a lot of time to compute with no cooperation point, then the whole program hangs. The Lwt.yield
function introduces an explicit cooperation point. sleep
ing also obviously makes the thread cooperate.
If locking a data structure is still needed, the Lwt_mutex
module provides the necessary functions. To obtain more information on thread switching (and how to prevent it) read the Lwt mailing list archive: Lwt_stream, thread switch within push function which continues here.
##Spawning background threads
If you want to spawn a thread without waiting for the result, use Lwt.async
:
Lwt.async (fun () ->
OS.Time.sleep 10.0 >>= fun () ->
C.log_s c "Finished"
)
Note: do not do let _ = my_background_thread ()
. This ignores the result of the thread, which means that if it fails with an exception then the error will never be reported.
Lwt.async
reports errors to the user’s configured Lwt.async_exception_handler
, which may or may not terminate the unikernel depending on how it has been configured.
It is often better to catch such exceptions and log them with some contextual information. Here’s some real Mirage code that spawns a new background thread to handle a new frame received from the network. The log message includes the exception it caught, a dump of the troublesome frame and, like all log messages, information about when it occured and in which module.
(* Handle a frame of data from the network... *)
Lwt.async (fun () ->
Lwt.catch (fun () -> fn data)
(fun ex ->
Log.err (fun f -> f "uncaught exception from listen callback \
while handling frame:@\n%a@\nException: @[%s@]"
S.pp_frame data (Printexc.to_string ex));
Lwt.return ()
)
)
By the way, the reason async
and catch
take functions that create threads rather than just plain threads is so they can start the thread inside a try .. with
block and so handle OCaml exceptions consistently.
Be careful not to disable this safety feature by accident - consider:
let test1 () =
let t = raise (Failure "early failure") in
Lwt.catch (fun () -> t)
(fun ex -> print_endline "caught exception!"; Lwt.return ())
let test2 () =
let t = OS.Time.sleep 1.0 >>= fun () -> raise (Failure "late failure") in
Lwt.catch (fun () -> t)
(fun ex -> print_endline "caught exception!"; Lwt.return ())
Because test1
’s t
raises an exception immediately (without waiting for a sleeping thread and thus getting added to an event queue), test1
will exit with an exception before even reaching the catch
function.
However, test2
’s t
blocks first. In this case, the sleeping t
is passed to catch
, which handles the exception.
Moving the let t =
inside the catch
callback avoids this problem (as does using Lwt.fail
instead of raise
).
##Error handling
In Mirage code, we typically distinguish two types of error: programming errors (bugs, which should be reported to the programmer to be fixed) and expected errors (e.g. network disconnected or invalid TCP packet received). We try to use the type system to ensure that expected errors are handled gracefully.
###Use result for expected errors
For expected errors, you should use the result
type, which provides Ok
and Error
constructors.
This is a built-in in OCaml 4.03 and available from the result
opam package for older versions.
Here’s an example that calls read_arg
twice and returns the sum of the results on success. If either read_arg
returns an error then that is returned immediately.
let example () =
read_arg () >>= function
| Error _ as e -> Lwt.return e
| Ok a ->
read_arg () >>= function
| Error _ as e -> Lwt.return e
| Ok b ->
Lwt.return (Ok (a + b))
It is often useful to provide some helpers to handle this pattern (using Lwt threads and result types together) more simply:
let ok x = Lwt.return (Ok x)
let (>>*=) m f =
m >>= function
| Error _ as e -> Lwt.return e
| Ok x -> f x
let example () =
read_arg () >>*= fun a ->
read_arg () >>*= fun b ->
ok (a + b)
###Use raise or fail for bugs
If a bug is detected, you should raise an exception. In threaded code you should use Lwt.fail
, although Lwt will catch exceptions and turn them into failures automatically if you forget.
###Catching exceptions
You shouldn’t normally need to catch specific exceptions (it would be better to use an Error
return in that case), but it is sometimes necessary.
The Lwt-equivalent of
try foo x
with
| Error_you_want_to_catch -> (* handle error here *)
is
Lwt.catch
(fun () -> foo x)
(function
| Error_you_want_to_catch -> (* handle error here *)
| ex -> Lwt.fail ex (* Pass others on *)
)
###Finalize
Depending on how the unikernel is set up, an exception may or may not be fatal.
In general, if you allocate a resource that won’t be automatically freed by the garbage collector then you should use Lwt.finalize
to ensure it is cleaned up whether the function using it succeeds or not:
let r = Resource.alloc () in
Lwt.finalize
(fun () -> use r)
(fun () -> Resource.free r)
To make it harder to get this wrong, it is a good idea to provide a with_
function, so users can just do:
with_resource (fun r -> use r)
##User-defined threads
You can create a thread that sleeps until you explicitly make it return a result with Lwt.wait
,
which returns a thread and a waker:
let invoke_remote msg =
let t, waker = Lwt.wait () in
let id = new_id () in
on_response_to id (fun resp -> Lwt.wakeup waker resp);
send_request id msg;
t
This is mainly useful when interacting with external processes (as in this example), or libraries that don’t support Lwt directly.
##Cancelling
In order to cancel a thread, the function cancel
(provided by the module Lwt) is needed. It has type 'a t -> unit
and does exactly what it says (except on certain complicated cases that are not in the scope of this tutorial). A simple timeout function that cancels a thread after a given number of seconds can be written easily:
(* In this example and all those afterwards, we consider Lwt and OS to be
opened *)
let timeout delay t =
Time.sleep delay >|= fun () -> cancel t
###Challenge 3: Timeouts
This timeout
function does not allow one to use the result returned by the thread t
.
Modify the timeout
function so that it returns either None
if t
has not yet returned after delay
seconds or Some v
if t
returns v
within delay
seconds. In order to achieve this behaviour it is possible to use the function state
that, given a thread, returns the state it is in, either Sleep
, Return
or Fail
.
You can test your solution with this application, which creates a thread that may be cancelled before it returns:
let start c =
Random.self_init ();
let t = Time.sleep (Random.float 3.0) >|= fun () -> "Heads" in
timeout 2.0 t >>= function
| None -> C.log_s c "Cancelled"
| Some v -> C.log_s c (Printf.sprintf "Returned %S" v)
###Solution
let timeout delay t =
Time.sleep delay >>= fun () ->
match Lwt.state t with
| Lwt.Sleep -> Lwt.cancel t; Lwt.return None
| Lwt.Return v -> Lwt.return (Some v)
| Lwt.Fail ex -> Lwt.fail ex
This solution and application are found in lwt/src/unikernels.ml in the repository. Build with target timeout1
.
Does your solution match the one given here and always return after f
seconds, even when t
returns within delay
seconds?
This is a good place to introduce a third operation to compose threads: pick
.
val pick : 'a t list -> 'a t
pick
behaves exactly like choose
except that it cancels all other sleeping threads when one terminates.
###Challenge 4: Better timeouts
In a typical use of a timeout, if t
returns before the timeout has expired, one would want the timeout to be cancelled right away. The next challenge is to modify the timeout function to return Some v
right after t
returns. Of course if the timeout does expire then it should cancel t
and return None
.
In order to test your solution, you can compile it to a mirage executable and run it using the skeleton provided for the previous challenge.
###Solution
let timeout delay t =
let tmout = Time.sleep delay in
pick [
(tmout >|= fun () -> None);
(t >|= fun v -> Some v);
]
Found in lwt/src/unikernels.ml in the repository. The target is timeout2
.
###Warning
The cancel
function should be used very sparingly, since it essentially throws an unexpected exception into the middle of some executing code that probably wasn’t expecting it.
A cancel that occurs when the thread happens to be performing an uncancellable operation will be silently ignored.
A safer alternative is to use Lwt_switch. This means that cancellation will only happen at well defined points, although it does require explicit support from the code being cancelled. If you have a function that only responds to cancel, you might want to wrap it in a function that takes a switch and cancels it when the switch is turned off.
##Other Lwt features
Lwt provides many more features. See the manual for details. However, the vast majority of code will only need the basic features described here.


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It seems there may have been at least 17 shows and 69 listed appearances. With 4 people per show, Wikipedia has 1% more appearances listed than required (and probably a similar percent of people) perhaps due to listing special guests. The host/captains/regulars have included Charlie Brooker (Host × 17).
Total appearances:
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All people:
Guests i.e. ignoring the host/captains/regulars:
Last updated: 2017/01/28


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Siya Kolisi lifts Rugby World Cup as South Africa defeat England to enjoy own momentous occasion
ENGLAND 12-32 SOUTH AFRICA: Eddie Jones' side saw their Japanese adventure ended comprehensively by the Springboks
by Andy Dunn, https://www.mirror.co.uk/authors/andy-dunn/To the millions watching back here at home, much of it was probably impenetrable, unfathomable.
Jerome Garces was some sort of villain, according to social media, but the truth is the rules and intricacies of the game are fairly foreign to the casual sports-lover.
If you knew the reasoning behind a quarter of the penalties awarded by Garces, count yourself a bona fide expert.
And if you enjoyed the first three-quarters of this contest for its quality, you are a serious aficionado, someone steeped in rugby union’s attritional qualities.
Let’s face it, before two magical, late South African tries, this was a tough watch - and not just because England lost. And lost comprehensively.
It was a World Cup Final in which most of the world did not have much of a clue what was going on for much of the time.
Even those who at least thought a forward pass was a no-no might be scratching their heads.
The interpretation of the laws will be the broader issue the sport’s governing bodies will have to consider when they have their debrief.
But I’m sure those watching in South Africa were not obsessing with the referee.
Nor should England fans.
Their team was comprehensively outplayed in all departments and Warren Gatland was probably right when intimating their final was against the All Blacks last weekend.
And even for those watching who did not have much of an idea about the finer, subtler details of a superb Springboks performance, there was one clear joy.
Rugby Union was a sport that once symbolised the evil of apartheid in South Africa.
Now a black South African has captained his country to World Cup glory.
That is why - for all the English disappointment, for all the chatter about the man with the whistle - it was still a momentous occasion.


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Reports legacy string formatting expressions (via "format", "formatted" or string concatenation) that can be converted to interpolated strings.
The new syntax is more concise, offers more static checking and provides a better runtime performance.
Example:
val str = "test"
"test %s".format(str)
After the quick-fix is applied:
val str = "test"
s"test $str"


step_embed
creates a specification of a recipe step that
will convert a nominal (i.e. factor) predictor into a set of
scores derived from a tensorflow model via a word-embedding model.
embed_control
is a simple wrapper for setting default options.
step_embed( recipe, ..., role = "predictor", trained = FALSE, outcome = NULL, predictors = NULL, num_terms = 2, hidden_units = 0, options = embed_control(), mapping = NULL, history = NULL, skip = FALSE, id = rand_id("lencode_bayes") ) # S3 method for step_embed tidy(x, ...) embed_control( loss = "mse", metrics = NULL, optimizer = "sgd", epochs = 20, validation_split = 0, batch_size = 32, verbose = 0, callbacks = NULL )
| recipe | A recipe object. The step will be added to the sequence of operations for this recipe. |
|---|---|
| ... | One or more selector functions to choose variables.
For |
| role | For model terms created by this step, what analysis role should they be assigned?. By default, the function assumes that the embedding variables created will be used as predictors in a model. |
| trained | A logical to indicate if the quantities for preprocessing have been estimated. |
| outcome | A call to |
| predictors | An optional call to |
| num_terms | An integer for the number of resulting variables. |
| hidden_units | An integer for the number of hidden units in a dense ReLu layer between the embedding and output later. Use a value of zero for no intermediate layer (see Details below). |
| options | A list of options for the model fitting process. |
| mapping | A list of tibble results that define the
encoding. This is |
| history | A tibble with the convergence statistics for
each term. This is |
| skip | A logical. Should the step be skipped when the
recipe is baked by |
| id | A character string that is unique to this step to identify it. |
| x | A |
| optimizer, loss, metrics | Arguments to pass to |
| epochs, validation_split, batch_size, verbose, callbacks | Arguments to pass to |
An updated version of recipe
with the new step added
to the sequence of existing steps (if any). For the tidy
method, a tibble with columns terms
(the selectors or
variables for encoding), level
(the factor levels), and
several columns containing embed
in the name.
Factor levels are initially assigned at random to the new variables and these variables are used in a neural network to optimize both the allocation of levels to new columns as well as estimating a model to predict the outcome. See Section 6.1.2 of Francois and Allaire (2018) for more details.
The new variables are mapped to the specific levels seen at the time of model training and an extra instance of the variables are used for new levels of the factor.
One model is created for each call to step_embed
. All terms
given to the step are estimated and encoded in the same model
which would also contain predictors give in predictors
(if
any).
When the outcome is numeric, a linear activation function is used in the last layer while softmax is used for factor outcomes (with any number of levels).
For example, the keras
code for a numeric outcome, one
categorical predictor, and no hidden units used here would be
keras_model_sequential() \\%>\\% layer_embedding( input_dim = num_factor_levels_x + 1, output_dim = num_terms, input_length = 1 ) \\%>\\% layer_flatten() \\%>\\% layer_dense(units = 1, activation = 'linear')
If a factor outcome is used and hidden units were requested, the code would be
keras_model_sequential() \\%>\\% layer_embedding( input_dim = num_factor_levels_x + 1, output_dim = num_terms, input_length = 1 ) \\%>\\% layer_flatten() \\%>\\% layer_dense(units = hidden_units, activation = "relu") \\%>\\% layer_dense(units = num_factor_levels_y, activation = 'softmax')
Other variables specified by predictors
are added as an
additional dense layer after layer_flatten
and before the
hidden layer.
Also note that it may be difficult to obtain reproducible results using this step due to the nature of Tensorflow (see link in References).
tensorflow models cannot be run in parallel within the same
session (via foreach
or futures
) or the parallel
package.
If using a recipes with this step with caret
, avoid parallel
processing.
Francois C and Allaire JJ (2018) Deep Learning with R, Manning
"How can I obtain reproducible results using Keras during development?" https://tinyurl.com/keras-repro
"Concatenate Embeddings for Categorical Variables with Keras" https://flovv.github.io/Embeddings_with_keras_part2/


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Name
HPL_dlaswp00N performs a series of row interchanges.
Synopsis
#include "hpl.h"
void
HPL_dlaswp00N(
const int
M
,
const int
N
,
double *
A
,
const int
LDA
,
const int *
IPIV
);
Description
HPL_dlaswp00N
performs a series of local row interchanges on a matrix
A. One row interchange is initiated for rows 0 through M-1 of A.
Arguments
M (local input) const int
On entry, M specifies the number of rows of the array A to be
interchanged. M must be at least zero.
N (local input) const int
On entry, N specifies the number of columns of the array A.
N must be at least zero.
A (local input/output) double *
On entry, A points to an array of dimension (LDA,N) to which
the row interchanges will be applied. On exit, the permuted
matrix.
LDA (local input) const int
On entry, LDA specifies the leading dimension of the array A.
LDA must be at least MAX(1,M).
IPIV (local input) const int *
On entry, IPIV is an array of size M that contains the
pivoting information. For k in [0..M), IPIV[k]=IROFF + l
implies that local rows k and l are to be interchanged.
See Also
HPL_dlaswp00N,
HPL_dlaswp10N,
HPL_dlaswp01N,
HPL_dlaswp01T,
HPL_dlaswp02N,
HPL_dlaswp03N,
HPL_dlaswp03T,
HPL_dlaswp04N,
HPL_dlaswp04T,
HPL_dlaswp05N,
HPL_dlaswp05T,
HPL_dlaswp06N,
HPL_dlaswp06T.


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The other day, I was working on one of the challenges for this course and it was't working quite correctly. The problem was with the Mainpulating the DOM challenge as I couldn't get the invisible function in the challenge to work. I knew there was something wrong, so I tried over and over different code entries to get the fuction to work. When I attempted the challenge, there was pseudocode laid out to identify where everything should go. Psuedocode is fake code or comments that you use to identify where your real code will go and what it does. I tried to console.log, but I wasn't very good with it and couldn't create an effective test to check any error messsages at the time. Google was my next option, so I googled how to console.log this type of test, but couldn't quite understand why it didn't work. I also had tried referring to slack to see if anybody else had any issues. Eventually, I asked my facilitor Ed for some help and he pointed out that there were small typo errors in three lines of my code. Also, some of the typo errors wouldn't cause an error message. After discussing with Ed, I talked about this in my reflections to check further for typos like this when things aren't running correctly, rather than relying on an error message, or by googling. Because as there was nothing majorly wrong with my code, only small errors, any information I was getting via google and slack, seemed to match my answer (excluding the typos), so I wasn't learning.
At one point, I used to play a lot of sudoku, specifically the expert ones. Now, the expert ones always get to a point where you just get stuck and you can't find a way forward. When this would happen I always had a system I would follow. I would first type out every possible answer a space could have in a square. Once these were all laid out, usually I could knock off a few more answers. Further to this, quite often I would implemenet some rubber ducky strategies where I would talk to my phone as I was playing and saying "well this can go there, but that means this would go here". This often would help me to understand the information in front of me, and I could always knock off a few more. I've even gotten to the point where I have watched experts online to see what skills they implement on difficult sudoku problems. However, eventually, it would get to the point where there was no moves I could make and I couldn't use my logic to figure something out. At this point, I would try out certain solutions by erasing one possible answer from a square and see what possibile solutions it would create. Once I had tested the solution and felt confident, I'd lock it in and more often than not, I was correct. As I had a system in place for this, I found that I wouldn't ever get frustrated when I got stuck, or feel completely blocked. Taking these skills from just a fun game, I try to apply them to my problem solving in daily life as well.


Controls
Extends:
Constructor Summary
| Public Constructor | ||
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Member Summary
| Public Members | ||
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center: * |
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dollyDelta: * |
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dollyEnd: * |
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dollyStart: * |
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| public |
domElement: * |
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keydownevent: * |
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mouseupevent: * |
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object: * |
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pan: * |
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panDelta: * |
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panEnd: * |
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panStart: * |
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rotateDelta: * |
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rotateEnd: * |
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rotateStart: * |
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state: * |
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target: * |
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Method Summary
| Public Methods | ||
| public |
controlsActive(): * |
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dollyIn(dollyScale: *) |
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dollyOut(dollyScale: *) |
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getAutoRotationAngle(): * |
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getZoomScale(): * |
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onKeyDown(event: *) |
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onMouseDown(event: *) |
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onMouseMove(event: *) |
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onMouseWheel(event: *) |
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panLeft(distance: *) |
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panTo(vec3: *) |
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panUp(distance: *) |
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panXY(x: *, y: *) |
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rotateLeft(angle: *) |
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rotateUp(angle: *) |
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setPan(vec3: *) |
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touchend() |
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touchmove(event: *) |
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touchstart(event: *) |
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update() |
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updatePan(delta: *) |
Public Constructors
public constructor() source
Public Members
public cameraMovedCallbacks: * source
public center: * source
public dollyDelta: * source
public dollyEnd: * source
public dollyStart: * source
public domElement: * source
public keydownevent: * source
public maxPolarAngle: * source
public mousedownevent: * source
public mousemoveevent: * source
public mouseupevent: * source
public mousewheelevent: * source
public object: * source
public pan: * source
public panDelta: * source
public panEnd: * source
public panStart: * source
public rotateDelta: * source
public rotateEnd: * source
public rotateStart: * source
public state: * source
public target: * source
public touchendevent: * source
public touchmoveevent: * source
public touchstartevent: * source
Public Methods
public dollyIn(dollyScale: *) source
Params:
| Name | Type | Attribute | Description |
| dollyScale | * |
public dollyOut(dollyScale: *) source
Params:
| Name | Type | Attribute | Description |
| dollyScale | * |
public onKeyDown(event: *) source
Params:
| Name | Type | Attribute | Description |
| event | * |
public onMouseDown(event: *) source
Params:
| Name | Type | Attribute | Description |
| event | * |
public onMouseMove(event: *) source
Params:
| Name | Type | Attribute | Description |
| event | * |
public onMouseUp() source
public onMouseWheel(event: *) source
Params:
| Name | Type | Attribute | Description |
| event | * |
public panLeft(distance: *) source
Params:
| Name | Type | Attribute | Description |
| distance | * |
public panTo(vec3: *) source
Params:
| Name | Type | Attribute | Description |
| vec3 | * |
public panUp(distance: *) source
Params:
| Name | Type | Attribute | Description |
| distance | * |
public panXY(x: *, y: *) source
Params:
| Name | Type | Attribute | Description |
| x | * | ||
| y | * |
public rotateLeft(angle: *) source
Params:
| Name | Type | Attribute | Description |
| angle | * |
public rotateUp(angle: *) source
Params:
| Name | Type | Attribute | Description |
| angle | * |
public setPan(vec3: *) source
Params:
| Name | Type | Attribute | Description |
| vec3 | * |
public touchend() source
public touchmove(event: *) source
Params:
| Name | Type | Attribute | Description |
| event | * |
public touchstart(event: *) source
Params:
| Name | Type | Attribute | Description |
| event | * |
public update() source
public updatePan(delta: *) source
Params:
| Name | Type | Attribute | Description |
| delta | * |


Platform difference: In Chrome version 59, notifications appear differently for Mac OS X users. Instead of Chrome's own notifications, users see native Mac OS X notifications. Learn more in this article.
The rich notifications API lets you create notifications using templates and show these notifications to users in the user's system tray:
Rich notifications come in four different flavors: basic, image, list, and progress. All notifications include a title, message, small icon displayed to the left of the notification message, and a contextMessage field, which is displayed as a 3rd text field in a lighter color font.
A basic image:
List notifications display any number of list items:
Image notifications include an image preview:
Progress notifications show a progress bar:
On Chrome OS, notifications show up in a user's system tray, and stay in the system tray until the user dismisses them. The system tray keeps a count of all new notifications. Once a users sees the notifications in the system tray, the count is reset to zero.
Notifications can be assigned a priority between -2 to 2. Priorities < 0 are shown in the ChromeOS notification center, and produce an error on other platforms. Priority 0 is the default priority. Priorities > 0 are shown for increasing duration and more high priority notifications can be displayed in the system tray.
Platform difference: The priority
does not
affect the order of notifications in Chrome version 59+ on Mac OS X.
In addition to displaying information, all notification types can include up to two action items. When users click on an action item, your app can respond with the appropriate action. For example, when the user clicks on "Reply", the email app opens and the user can complete the reply:
To use this API,
call the $(ref:notifications.create) method,
passing in the notification details
via the options
parameter:
chrome.notifications.create(id, options, creationCallback);
The $(ref:notifications.NotificationOptions) must include a $(ref:notifications.TemplateType), which defines available notification details and how those details are displayed.
Consider integrating with GCM!
Keep your users informed all the time,
even when your app isn't opened.
The gcm-notifications sample
shows a simple integration between GCM and Rich Notifications API.
All template types
(basic
, image
, list
and progress
)
must include a notification title
and message
,
as well as an iconUrl
, which is a link to a small icon that
is displayed to the left of the notification message.
Here's an example of a basic
template:
var opt = { type: "basic", title: "Primary Title", message: "Primary message to display", iconUrl: "url_to_small_icon" }
The image
template type also includes an imageUrl
, which is a link to
an image that is previewed within the notification:
Platform difference: Images will not be display to users using Chrome version 59+ on Mac OS X.
var opt = { type: "basic", title: "Primary Title", message: "Primary message to display", iconUrl: "url_to_small_icon", imageUrl: "url_to_preview_image" }
In Chrome Apps, due to a strict Content Security Policy these URLs must point to a local resource or use a blob or data URL. Use a 3:2 ratio for your image; otherwise a black border frames the image.
The list
template displays items
in a list format:
Platform difference: Only the first list item is displayed to users in Chrome version 59+ on Mac OS X.
var opt = { type: "list", title: "Primary Title", message: "Primary message to display", iconUrl: "url_to_small_icon", items: [{ title: "Item1", message: "This is item 1."}, { title: "Item2", message: "This is item 2."}, { title: "Item3", message: "This is item 3."}] }
The progress
template displays a progress bar where current
progress ranges from 0 to 100:
Platform difference: In Chrome version 59+ on Mac OS X, the progress bar displays as a percentage value in the title of the notification instead of displaying a progress bar.
var opt = { type: "progress", title: "Primary Title", message: "Primary message to display", iconUrl: "url_to_small_icon", progress: 42 }
All notifications can include event listeners and event handlers that respond to user actions (see chrome.events). For example, you can write an event handler to respond to an $(ref:notifications.onButtonClicked) event.
Event listener:
chrome.notifications.onButtonClicked.addListener(replyBtnClick);
Event handler:
function replyBtnClick { //Write function to respond to user action. }
Consider including event listeners and handlers within the event page, so that notifications can pop-up even when the app or extension isn't running.


This is a classic problem when closure elements are accessed by concurrent processes. Here the value of the iteration variable nephew
changes at
each step so the most probable output is Louie
being greeted three times. You must capture the current value of nephew
for
block Try it,
nephew
as a function argument Try it.
The Data Race Detector emits a WARNING: DATA RACE
(with details) for this program.
The same problem exists in some other languages, e.g. Javascript.


We've already explored a two-dimensional version of the divergence theorem.
If I have some region-- so this is my region right over here.
3923.580 - 9870.0704466.000 - 8666.000
We'll call it R.
9870.070 - 10708.160And let's call the boundary of my region, let's call that C.
11087.300 - 15178.00014200.000 - 14800.000
And if I have some vector field in this region, so let me draw a vector field like this.
15447.390 - 20246.49019866.000 - 20533.000
If I draw a vector field just like that, our two-dimensional divergence theorem, which we really derived from Green's theorem, told us that the flux across our boundary of this region-- so let me write that out.
20805.220 - 38764.40021000.000 - 31466.000
The flux across the boundary, so the flux is essentially going to be the vector field.
38794.330 - 43403.850It's going to be our vector field F dotted with the normal outward-facing vector.
43992.520 - 49649.66045133.000 - 47266.000
So the normal vector at any point is this outward-facing vector, So our vector field, dotted with the normal-facing vector at our boundary times our little chunk of the boundary.
50048.750 - 66361.68050266.000 - 65933.000
If we were to sum them all up over the entire boundary-- let me write that a little bit neater-- that's the same thing as summing up over the entire region.
66361.680 - 78973.02069400.000 - 76666.000
So let's sum up over the entire region.
79322.220 - 81277.780So summing up over this entire region, each little chunk of area, dA-- we could call that dx dy if we wanted to if we're dealing in the xy domain right over here, but each little chunk of area times the divergence of F, which is really saying, how much is that vector field pulling apart?
81796.600 -<PHONE_NUMBER>0866.000 - 89866.000
So it's times the divergence of F.
102140.360 -<PHONE_NUMBER>04266.000 - 107266.000
And hopefully, it made intuitive sense.
The way that I drew this vector field right over here, you see everything's kind of coming out.
You could almost call this a source right here, where the vector field seems like it's popping out of there.
This has positive divergence right over here.
And so because of this, you actually see that the vector field at the boundary is actually going in the direction of the normal vector, pretty close to the direction of the normal vector, so it makes sense.
You have positive divergence, and this is going to be a positive value.
The vector field is going, for the most part, in the direction of the normal vector.
So the larger this is, the larger that is.
So hopefully, some intuitive sense.
If you had another vector field-- so let me draw another region-- that looked like this, so I could draw a couple situations.
141790.250 -<PHONE_NUMBER>45066.000 - 148066.000
So one where there's very limited divergence, maybe it's just a constant.
151288.660 -<PHONE_NUMBER>50200.000 - 157666.000
The vector field doesn't really change as you go in any given direction.
155149.890 -<PHONE_NUMBER>58000.000 - 161266.000
Over here you'll get positive fluxes.
I don't know what the plural of flux is.
You'll get positive fluxes, because the vector field seems to be going in roughly the same direction as our normal vector.
But here, you'll get a negative flux.
So stuff is coming in here.
If you imagine your vector field is essentially some type of mass density times volume, and we've thought about that before, this is showing how much stuff is coming in, and then stuff is coming out.
So your net flux will be close to zero.
Stuff is coming in, and stuff is coming out.
Here, you're just saying, hey, stuff is constantly coming out of this surface.

Here you have a high divergence, and you would have a high aggregate flux.
I could draw another situation.
So this is my region R.
213237.870 -<PHONE_NUMBER>12266.000 - 215133.000
And let's say that we have negative divergence, or we could even call it convergence.
216041.500 - 219713.150Convergence isn't an actual technical term, but you could imagine if the vector field is converging within R, well, the divergence is going to be negative in this situation.
219713.150 -<PHONE_NUMBER>22533.000 - 231533.000
It's actually converging, which is the opposite of diverging.
231516.330 - 233861.000So the divergence is negative in this situation.
233861.000 -<PHONE_NUMBER>34333.000 - 236933.000
And also the flux across the boundary is going to be negative.
237662.360 - 240785.260Because as we see here, the way I drew it, across most of this boundary, the vector field is going in the opposite direction.
240785.260 - 246482.310It's going in the opposite direction as our normal vector at any point.
246841.500 -<PHONE_NUMBER>48533.000 - 250333.000
So hopefully, this gives you a sense of why there's this connection between the divergence over the region and the flux across the boundary.
Well, now we're just going to extend this to three dimensions, and it's the exact same reasoning.
If we have a-- and I'll define it a little bit more precisely in future videos-- a simple, solid region.
So let me just draw it.
And I'm going to try to draw it in three dimensions.
So let's say it looks something like that.
275536.280 -<PHONE_NUMBER>75533.000 - 278600.000
And one way to think about it is this is going to be a region that doesn't bend back on itself.
279277.780 - 283338.550And if you have a region that bends back on itself-- well, we'll think about it in multiple ways.
283338.550 - 287179.820But out of all the volumes of three dimensions that you can imagine, these are the ones that don't bend back on themselves.
287179.820 - 293275.960And there are some that you might not be able to imagine that would also not make the case.
293545.350 - 297316.780But even if you had ones that bent back on themselves, you could separate them out into other ones that don't.
297546.260 - 305468.250So here is just a simple solid region over here.
305468.250 - 308920.410I'll make it look three dimensional.
308920.410 - 310317.230So maybe if it was transparent, you would see it like that.
310317.230 -<PHONE_NUMBER>10866.000 - 312333.000
And then you see the front of it like that.
313889.120 -<PHONE_NUMBER>13666.000 - 316133.000
So it's this kind of elliptical, circular, blob-looking thing.
316962.130 - 320663.720So that could be the back of it.
320982.990 -<PHONE_NUMBER>20400.000 - 323466.000
And then if you go to the front, it could look something like that.
322729.020 -<PHONE_NUMBER>23866.000 - 325666.000
So this is our simple solid region.
326490.480 -<PHONE_NUMBER>26466.000 - 329066.000
I'll call it-- well, I'll call it R still.
330780.730 - 333923.580But we're dealing with a three dimensional.
333923.580 - 335350.340We are now dealing with a three-dimensional region.
335859.180 -<PHONE_NUMBER>36866.000 - 337866.000
And now the boundary of this is no longer a line.
340259.180 - 343481.860We're now in three dimensions.
343481.860 - 344479.590The boundary is a surface.
344479.590 - 346245.580So I'll call that S.
346724.490 -<PHONE_NUMBER>49000.000 - 349266.000
S is the boundary of R.
350266.440 -<PHONE_NUMBER>51600.000 - 356400.000
And now let's throw on a vector field here.
357110.880 - 359226.080Now, this is a vector field in three dimensions.
359226.080 - 361121.770And now let's imagine that we actually have positive divergence of our vector field within this region right over here.
361391.160 - 367796.600So we have positive divergence.
368395.240 - 369931.750So you can imagine that it's kind of-- the vector field within the region, it's a source of the vector field, or the vector field is diverging out.
369931.750 -<PHONE_NUMBER>71200.000 - 381933.000
That's just the case I drew right over here.
381395.690 - 383022.000And the other thing we want to say about vector field S, it's oriented in a way that its normal vector is outward facing, so outward normal vector.
383211.560 -<PHONE_NUMBER>89000.000 - 393800.000
So the normal, it's oriented so that the surface-- the normal vector is like that.
393587.980 -<PHONE_NUMBER>95866.000 - 396666.000
The other option is that you have an inward-facing normal vector.
398087.760 -<PHONE_NUMBER>97933.000 - 399800.000
But we're assuming it's an outward-facing N.
401150.790 - 403196.150Well, then we just extrapolate this to three dimensions.
403575.280 - 406618.370We essentially say the flux across the surface.
406618.370 - 409162.590So the flux across the surface, you would take your vector field, dot it with the normal vector at the surface, and then multiply that times a little chunk of surface, so multiply that times a little chunk of surface, and then sum it up along the whole surface, so sum it up.
409791.160 -<PHONE_NUMBER>19000.000 - 431666.000
So it's going to be a surface integral.
431821.090 -<PHONE_NUMBER>32000.000 - 432733.000
So this is flux across the surface.
434056.010 -<PHONE_NUMBER>33266.000 - 441000.000
It's going to be equal to-- if we were to sum up the divergence, if we were to sum up across the whole volume, so now if we're summing up things on every little chunk of volume over here in three dimensions, we're going to have to take integrals along each dimension.
441449.210 -<PHONE_NUMBER>41466.000 - 455400.000
So it's going to be a triple integral over the region of the divergence of F.
458719.950 -<PHONE_NUMBER>61000.000 - 464733.000
So we're going to say, how much is F?
467879.140 -<PHONE_NUMBER>67333.000 - 470200.000
What is the divergence at F at each point?
469834.690 - 471461.000And then multiply it times the volume of that little chunk to sense of how much is it totally diverging in that volume.
471461.000 -<PHONE_NUMBER>72266.000 - 481266.000
And then you sum it up.
That should be equal to the flux.
It's completely analogous to what's here.
Here we had a flux across the line.
485738.550 -<PHONE_NUMBER>86600.000 - 487266.000
We had essentially a two-dimensional-- or I guess we could say it's a one-dimensional boundary, so flux across the curve.
488681.860 -<PHONE_NUMBER>92600.000 - 498600.000
And here we have the flux across a surface.
Here we were summing the divergence in the region.
Here we're summing it in the volume.
But it's the exact same logic.
If you had a vector field like this that was fairly constant going through the surface, on one side you would have a negative flux.
On the other side, you would have a positive flux, and they would roughly cancel out.
And that makes sense, because there would be no diverging going on.
If you had a converging vector field, where it's coming in, the flux would be negative, because it's going in the opposite direction of the normal vector.
And so the divergence would be negative as well, because essentially the vector field would be converging.
So hopefully this gives you an intuition of what the divergence theorem is actually saying something very, very, very, very-- almost common sense or intuitive.
And now in the next few videos, we can do some worked examples, just so you feel comfortable computing or manipulating these integrals.
And then we'll do a couple of proof videos, where we actually prove the divergence theorem.


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Experienced small business owner with a demonstrated history of working in the computer software industry. Skilled in Python, C, C++, Software Development, Program Management, and Project Management. Strong business development professional attempting to expand into the world of Data Science.
Fellow at GA. Developing and improving on my skills as a Data Scientist.
Managed and deloped property in NYC.
Developed main product and POS software. Created internal tools to aid efficiency in the work environment.
There is always something new in New York. I send most of my free time playing complex games. Both video games such as ‘Stellaris’ and board games. My wife, friends and I just finished our campaign of Pandemic Legacy Season 2 with the best outcome.
I am also a co-organizer of the Story Games group on meetup.com. We try to introduce new players to tabletop Role Playing Games while giving more experienced players a forum to play short campaigns. It’s a fun way to meet new and interesting people, usually in creative fields.


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Flight information display system
Airport
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Date
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Arrivals/Departures
Departures
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Get Schedule
Panel heading
Terminal
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Destination
Time
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npm install @textile/react-native-sdk --save
Link the Framework
react-native link @textile/react-native-sdk
Note: The iOS component of @textile/react-native-sdk
should be installed using Cocoapods. Newer versions of React Native will auto link the library, and react-native link
can be run otherwise.
Update Android Gradle
You'll need to add Textile's maven repository to your project build.gradle
's allProjects.repositories
section:
maven { url "https://dl.bintray.com/textile/maven" }
Other dependencies
The Textile library also requires that your project has two other libraries installed. Following the installation instructions for the following two,
@textile/react-native-sdk is written in TypeScript and compiled to JavaScript. You can use either in your app.
To jump right into a working app, see our demo IPFS boilerplate app.
We also have a more advanced boilerplate that contains react-navigation
, redux, and sagas together with Textile. Find that here, advanced-react-native-boilerplate.
At a minimum, you'll need to initialize Textile if required, then launch Textile. You'll also probably want to subscribe to many of the events emitted by Textile. You can see this below:
import React from 'react';
import {
SafeAreaView,
Text,
StatusBar,
} from 'react-native';
import FS from 'react-native-fs';
import Textile from '@textile/react-native-sdk';
class App extends React.Component {
constructor(props) {
super(props);
this.state = {version: ""};
}
componentDidMount() {
this.setup();
}
async setup() {
Textile.events.addNodeOnlineListener(this.nodeOnline);
const repoPath = `${FS.DocumentDirectoryPath}/textile-go`;
const initialized = await Textile.isInitialized(repoPath);
if (!initialized) {
const phrase = await Textile.initializeCreatingNewWalletAndAccount(repoPath, true, true);
console.log("recovery phrase: ", phrase);
}
Textile.launch(repoPath, true);
const version = await Textile.version();
this.setState({version});
}
nodeOnline = () => {
console.log("node online")
}
render() {
return (
<>
<StatusBar barStyle="dark-content" />
<SafeAreaView style={{flex: 1, alignItems: "center", justifyContent: "center"}}>
<Text>Textile version: {this.state.version}</Text>
</SafeAreaView>
</>
);
}
}
export default App;


Disclosure Agreement
Setting and meeting everyone's expectations
This is the plain English agreement that will need to be signed prior to or upon completion of the inspection. Inspection rates can be reviewed here.
This is an Agreement between you, the undersigned Client, and us, the Inspector, pertaining to our inspection of the Property at:
The terms below govern this Agreement.
1. You will pay us $ for our inspection. You have paid us a deposit of $.
2. We will perform a visual inspection of the home/building and provide you with a written report identifying the defects that we (1) observed and (2) deemed material. The report is only supplementary to the seller’s disclosure.
3. Unless otherwise noted in this Agreement or it is not possible, we will perform the inspection in accordance with the current Standards of Practice (SOP’s) of the International Association of Certified Home Inspectors (“InterNACHI”) posted at http://www.nachi.org/sop.htm. If your jurisdiction has adopted mandatory standards that differ from InterNACHI’s SOP’s, we will perform the inspection in accordance with your jurisdiction’s standards. You understand that InterNACHI’s SOP’s contain limitations, exceptions, and exclusions. You understand that InterNACHI is not a party to this Agreement, has no control over us, and does not supervise us.
4. Unless otherwise indicated in writing, we will NOT test for the presence of radon – a colorless, odorless, radioactive gas that may be harmful to humans. Unless otherwise indicated in writing, we will not test for mold. Unless otherwise indicated in writing, we will not test for compliance with applicable building codes or for the presence of or for any potential dangers arising from the presence of asbestos, lead paint, formaldehyde, soil contamination, and other environmental hazards or violations. If any structure or portion of any structure you want us to inspect is a log home, log structure or includes similar log construction, you understand that such structures have unique characteristics that may make it impossible for us to inspect and evaluate them. Therefore, the scope of our inspection will not include decay of the interior of logs in log walls, log foundations or roofs, or similar defects.
5. Our inspection and report are for your use only. You give us permission to discuss our observations with real estate agents, owners, repair persons, or other interested parties. You will be the sole owner of the report and all rights to it. We are not responsible for use or misinterpretation by third parties, and third parties who rely on it in any way do so at their own risk and release us (including employees and business entities) from any liability whatsoever. If you or any person acting on your behalf provide the report to a third party who then sues you and/or us, you release us for any liability agree to pay our costs and legal fees in defending any action naming us. Our inspection and report are in no way a guarantee or warranty, express or implied, regarding the future use, operability, habitability or suitability of the home/building or its components. We disclaim all warranties, express or implied, to the fullest extent allowed by law.
6. We assume no liability for the cost of repair or replacement of unreported defects or deficiencies either current or arising in the future. You agree that in all cases our liability shall be limited to liquidated damages in an amount not greater than the fee you paid us. You waive any claim for consequential, exemplary, special or incidental damages or for the loss of the use of the home/building. You acknowledge that the liquidated damages are not a penalty, but that we intend them to (i) reflect the fact that actual damages may be difficult and impractical to ascertain; (ii) allocate risk between us; and (iii) enable us to perform the inspection for the agreed upon fee.
7. We do not perform engineering, architectural, plumbing, or any other job function requiring an occupational license in the jurisdiction where the property is located. If we hold a valid occupational license, we may inform you of this and you may hire us to perform additional functions. Any agreement for such additional services shall be in a separate writing.
8. If you believe you have a claim against us, you agree to provide us with the following: (1) written notification of adverse conditions within seven days of discovery; and (2) immediate access to the premises. Failure to comply with these conditions releases us from liability.
9. You agree that any litigation arising out of this Agreement shall be filed only in the Court having jurisdiction in the County where we have our principal place of business. If you fail to prove any claim against us, you agree to pay all our legal costs, expenses and fees incurred in defending that claim. You agree that any legal action against InterNACHI itself, allegedly arising out of this Agreement or our membership in InterNACHI, must be brought only in the District Court of Boulder County, Colorado. Before bringing any such action, you must provide InterNACHI with 30 days’ written notice of the nature of the claim. In any action against us or InterNACHI, you waive trial by jury.
10. If a court declares any provision of this Agreement invalid, the remaining provisions remain in effect. This Agreement represents our entire agreement; there are no terms or promises other than those set forth herein. No statement or promise by us shall be binding unless reduced to writing and signed by one of our authorized officers. Any modification of this Agreement must be in writing and signed by you and by one of our authorized officers. This Agreement shall be binding upon and enforceable by the parties and their heirs, executors, administrators, successors and assignees. You will have no cause of action against us after one year from the date of the inspection.
11. Payment of the inspection fee (less any deposit noted above) is due when we complete the inspection. You agree to pay all costs and attorney’s fees incurred in collecting the fee owed to us. If the Client is a corporation, LLC, or similar entity, you personally guarantee payment of the fee.
12. If you request a re-inspection, the re-inspection is subject to the terms of this Agreement.
13. You may not assign this Agreement.
14. If a court finds any term of this Agreement ambiguous or that it otherwise requires judicial interpretation, the court shall not construe that term against us by reason of the rule that any ambiguity in a document is construed against the party drafting it. You had the opportunity to consult qualified counsel before signing this Agreement.
15. If there is more than one Client, you are signing on behalf of all of them, and you represent that you are authorized to do so.
By submitting this form, you agree to the following:
I HAVE CAREFULLY READ THIS AGREEMENT. I AGREE TO IT AND ACKNOWLEDGE RECEIVING A COPY OF IT.
Client 1 Name
|
Client 1 Email
|
Client 1 Date
|
| |
Client 2 Name
|
Client 2 Email
|
Client 2 Date
|
CONTACT US
If you are in the market for a home inspection, get in touch. We're ready to help you out.
|
OUR SERVICES
- Standard Home Inspection
- Thorough Additional Services
- Certified Professionals
- Uncompromising Quality
- Top Customer Service
|
|
Copyright © 2016 Top Home Inspections. All rights reserved.
|
|


ACTIVITIES OFFERED
- CONFERENCES
We charge sh.3500 per room with one room accommodating between fifty to two hundred persons. Covid 19 protocals are strictly adhered to.
- WEDDING GROUNDS
We have serene wedding grounds and we charge as least as sh.9000 to sh.13000 depending on the number of attendees
- BUFFET
Come dine at Milimani Resort. A moment here feels like PARADICE.


Loads an image sequence as a frame animation.
So if you have some frames named image_000.png, image_001.png, image_002.png and so on,
you can load it like this: Animation('image')
You can also load a .gif by including the file type: Animation('image.gif')
player.walk_animation = Animation('player_walk')
the platofrmer controller has an Animator and will toggle the state based on
whether it's standing still, is walking or is jumping.
All the Animator does is to make sure only Animation is enabled at the same time.
Otherwise they would overlap.
self.animator = Animator({'idle' : None, 'walk' : None, 'jump' : None})


Sysstat-12.3.1
Introduction to Sysstat
The Sysstat package contains
utilities to monitor system performance and usage activity.
Sysstat contains the sar utility, common to many
commercial Unixes, and tools you can schedule via cron to collect
and historize performance and activity data.
This package is known to build and work properly using an LFS-9.1
platform.
Package Information
Sysstat Dependencies
There are no build-time requirements for this package; however, it
is designed to be controlled by a cron daemon such as Fcron-3.2.1.
User Notes: http://wiki.linuxfromscratch.org/blfs/wiki/sysstat
Installation of Sysstat
Install Sysstat by running the
following commands:
sa_lib_dir=/usr/lib/sa \
sa_dir=/var/log/sa \
conf_dir=/etc/sysconfig \
./configure --prefix=/usr \
--disable-file-attr &&
make
This package does not come with a test suite.
Now, as the root
user:
make install
Command Explanations
sa_lib_dir
: This environment variable
specifies the location of the package-specific library directory.
sa_dir
: This environment variable
specifies the location of the directory containing the data files.
conf_dir
: This environment variable
specifies the location of the system configuration directory.
--disable-file-attr
: Do not
set attributes on files being installed. This parameter causes the
installation to ignore the man group variable resulting in the man
files having root
: root
ownership.
Note
Run ./configure
--help to see other influential environment
variables you can pass to configure. You may want to use
the history
and compressafter
variables to customize the amount of
data files kept on the system.
Configuring Sysstat
Config Files
/etc/sysconfig/sysstat
and
/etc/sysconfig/sysstat.ioconf
Cron
Information
To begin gathering Sysstat
history information, you must add to, or create a privileged
user's crontab. The history data location is /var/log/sa
. The user running Sysstat utilities via cron must have write
access to this location.
Below is an example of what to install in the crontab. Adjust the
parameters to suit your needs. Use man sa1 and man sa2 for information about
the commands.
# 8am-7pm activity reports every 10 minutes during weekdays
0 8-18 * * 1-5 /usr/lib/sa/sa1 600 6 &
# 7pm-8am activity reports every hour during weekdays
0 19-7 * * 1-5 /usr/lib/sa/sa1 &
# Activity reports every hour on Saturday and Sunday
0 * * * 0,6 /usr/lib/sa/sa1 &
# Daily summary prepared at 19:05
5 19 * * * /usr/lib/sa/sa2 -A &
Ensure you submit the revised crontab to the cron daemon.
System Startup
Information
At system startup, a LINUX RESTART message must be inserted in
the daily data file to reinitialize the kernel counters. This can
be automated by installing the /etc/rc.d/init.d/sysstat
init script included
in the blfs-bootscripts-20191204 package
using the following command as the root
user:
make install-sysstat
Contents
Installed Programs:
cifsiostat, iostat, mpstat, pidstat,
sadf, sar, and tapestat
Installed Libraries:
None
Installed Directories:
/usr/lib/sa,
/usr/share/doc/sysstat-12.3.1 and /var/log/sa
Short Descriptions
|
cifsiostat
|
displays statistics about read and write operations on
CIFS filesystems.
|
|
iostat
|
reports CPU statistics and input/output statistics for
devices and partitions.
|
|
mpstat
|
writes activities for each available processor.
|
|
pidstat
|
is used for monitoring individual tasks currently being
managed by the Linux kernel.
|
|
sadf
|
is used for displaying the contents of data files created
by the sar
command. But unlike sar, sadf can write its data
in many different formats.
|
|
sar
|
is used for displaying the contents of elected cumulative
activity counters in the operating system.
|
|
tapestat
|
is used for monitoring the activity of tape drives
connected to a system.
|
Last updated on 2020-02-19 08:47:37 -0800


WITNESS LIST Government Reform Committee February 28, 2005-1:00P Department of Information Resources On: Olson, Larry (Department of Information Resources)


house made pita, toasted with creamy garlic hummus
$5
grilled sprouts with balsamic reduction & parmesan petals
$6
roasted mushroom & cheese dip with toasted baguette
$8
fresh cut fries served with creamy garlic aioli
$6
lightly battered squid served with roasted red pepper aioli
$8
layered tortilla chips with onions, tomatoes, pepper & cheese
$15
warmed soft pretzel sticks with side of four cheese dip & grainy mustard
$8
coconut & panko crusted shrimp with Thai chili sauce
$8
house baked bread with garlic butter wash
$5
3 types of local cheese with our house bread, olives, berries & pecans
$23
wings, garlic bread, pretzels, onion rings & coconut shrimp
$18
classic swiss fondue served with house bread & fruit
$25
selection of local cured meat with olives & bread
$23
tomato, mozzarella & fresh basil topped with balsamic reduction
$15
chicken or chick'n wings with your choice of mild, medium or suicide sauce
$15
your choice of beef or veggie patty topped with caramelized onions, swiss cheese & mushrooms
$15
house made caesar dressing on kale topped with parm & lemon
$9
tomato, mozzarella & fresh basil wedged between our house bread
$10
beer and onion soup topped with swiss cheese & toasted baguette
$8
lightly battered perch topped with slaw, avocado, pico de gallo & chili lime sauce
$10
chicken or chick'n tossed in buffalo sauce topped with aioli, lettuce, & tomato
$12


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[GitHub]
Hi there! I am Ng Wei Xin (Xavier), a Year 2 Undergraduate of NUS majoring in Computer Science.
The purpose of this portfolio is to document my contributions to UltiStudent, a software engineering project under CS2103T Software Engineering module in NUS.
UltiStudent would not be possible without my peers: Andrew Sim, Benjamin Lim and Lee Shi Mei.
PROJECT: UltiStudent
1. Overview
UltiStudent is a student application that effectively tackles the problem of having too many applications to manage their school life by providing a centralised platform for them to manage their homework, cumulative average point and notes.
UltiStudent is catered for students who prefer to use a desktop app for managing their school activities through a Command Line Interface (CLI) while still having the benefits of a Graphical User Interface (GUI).
2. Summary of contributions
-
Enhancement:
-
Added the ability to add homework to homework manager through the use of
add-hw
command.-
It allows the user to add homework to the homework manager. This feature is essential and the foundation of homework manager as it enables homework manager to start keeping track of user’s homework.
-
This functionality was a challenging as it requires an in-depth analysis and understanding of AddressBook-Level4’s UI, Logic, Model and Storage. A need to understand how each component communicate with one another.
-
Credits: AddressBook-Level4’s add functionality was being used as a reference.
-
-
Added the ability to edit and save note for Notes Manager through the use of
edit-note
andsave-note
command.-
A core functionality for NotesManager.
-
This allows the user to edit the content of the empty note that was created using
add-note
. -
Credits: AddressBook-Level4’s select functionality was being used as a reference.
-
-
-
Minor enhancement:
-
Code contributed: Click here to view my code on the CS2103T Project Code Dashboard.
-
Other contributions:
-
Project management:
-
Managed issue tracker, closing issues upon fixes and implementations.
-
Refracted addressbook to ultistudent (Pull request #167)
-
-
Enhancements to existing features:
-
Modified AddressBook’s
add
,delete
andedit
command to guide users on whatadd
,delete
andedit
command UltiStudent has to offer. (Pull request #99)
-
-
Documentation:
-
Community:
-
3. Contributions to the User Guide
Below are the main contributions to the User Guide, which consist of Add Homework, Edit and Save commands. They showcase my ability to write documentation targeting end-users in a clear and concise manner. |
3.1. Adding a homework: add-hw
Format: add-hw mc/MODULECODE hw/HOMEWORK d/DEADLINE
Have a homework but unable to attend to it immediately? No worries! Let Homework Manager help
us keep track of them! By using add-hw
, we can command this manager to remember our homework
for us! Make sure we are in the Homework Manager by using open HomeworkManager
first.
Sadly, it doesn’t do our homework for us… but hey it reduces our worries on forgetting our homework!
To use this command we have to adhere to this format: add-hw mc/MODULECODE hw/HOMEWORK d/DEADLINE
else Homework Manager would not be able to understand what we are trying to tell it to do.
|
Important
|
DEADLINE must be in dd/mm/yyyy format and DEADLINE should not be a date that is before today! Homework are considered duplicated only if they have the same MODULECODE, HOMEWORK and DEADLINE. |
Okay enough explanation and time for an example!
Lets say we have to do Tutorial 1 for CS1101S by 1st May 2019. We could command this manager to
remember it for us by using add-hw mc/CS1101S hw/Tutorial 1 d/01/05/2019
in the command box (red highlighted box)
and do make sure that you are in the homework manager by checking if the Homework icon is highlighted in the
nagivation bar (white highlighted box) as shown below.
When CS1101S tutorial 1 has been successfully added, the Result Box (green highlighted box) would display
New homework added: CS1101S; Tutorial 1; 01/05/2019;
.
We will also be able to view the CS1101S being added into the Module List (blue highlighted box) since this is the first homework for CS1101S we have and the Homework List (orange highlighted box) would show us the newly added CS1101S homework.
|
Tip
|
Pro tip here! The ordering of mc/MODULECODE , hw/HOMEWORK and d/DEADLINE can be jumbled around!
so do not worry that this handy manager will not understand what you are trying to command it to do!
|
|
Caution
|
Sadly Homework Manager is english educated only… Therefore it only accepts english characters and numbers. Maybe Homework Manager would be educated in other languages to accept other characters in future! |
3.2. Editing and Saving a note : edit-note
save-note
Editing note: edit-note
Format: edit-note
Hurray! We’ve successfully added a note therefore it is time for us to learn how to edit and save the edited notes! But first! we got to make sure we are in the Notes Manager by looking at the Notes icon in the Navigation Box (white highlighted box) as shown below.
Now that we are in the Notes Manager. It is time for us to start editing our note! First off, we have to use
edit-note INDEX
to select the notes that we want to edit.
For example, we have 2 notes currently as shown in the image above, and we would like to edit our Personal
Project Portfolio note. We will use edit-note 1
in the Command Box (red highlighted box) to open Personal
Project Portfolio note for editing.
When Notes Manager has successfully open our note, it will display Opened note: 1
in the Result box (green
highlighted box). At the same time, the note will be highlighted in blue in the Notes List (blue highlighted box)
and the Text Field (orange highlighted box) will be activated and turn white, allowing us to start jotting down
our notes!
Saving note: save-note
Format: save-note
Now that we are done editing our note, it is time to save them! We can do this easily by using the save-note
in
the Command Box (red highlighted box)!
Once the note is saved, Notes Manager will let us know by displaying Saved note, Module: CS2103T Note: Personal
Project Portfolio Content: …(notes that we wrote)
in the Result Box (green highlighted box). At the same time,
the Text Field (orange highlighted box) will be disabled and turn grey.
For save-note
there is no parameters as it will save all edited notes in notes manager.
|
Tip
|
Pro tip here! We can edit multiple notes at the same time by using edit-note 1 then edit-note 2 to open the
respective notes to edit. Once we are done editing, we can simply use save-note to save all the edited notes!
|
|
Caution
|
For data integrity, undo and redo commands are not supported on editing and saving notes. Changes must be made manually. |
4. Contributions to the Developer Guide
Below are the main contributions to the User Guide, which consist of Add Homework, Edit and Save commands. They showcase my ability to write technical documentation and the technical depth of my contribution to UltiStudent in a clear and concise manner. |
4.1. Adding a homework: add-hw
The add homework feature is a core feature to the Homework Manager of UltiStudent. Which allows the users to create a homework object in UltiStudent. |
4.1.1. Overview
The add homework add-hw
mechanism is facilitated by AddHomeworkCommand
and AddHomeworkCommandParser
.
It takes in the following input from the user: ModuleCode
, HomeworkName
and Date
, which will
construct individual objects that construct a Homework
object.
The AddHomeworkCommandParser
implements Parser
with the following operation:
-
AddHomeworkCommandParser#parse()
- This operation will take in aString
input from the user that will create individual objects based on the prefixes 'mc/', 'hw/' and 'd/'. TheString
value after the individual prefixes will create the respective object: 'mc/' forModuleCode
, 'hw/' forHomeworkName
and 'd/' forDate
. A validation check will be imposed upon the creation of each object. Any checks that fails the validation would prompt the user on the failed component. For example:-
ModuleCode
would useParserUtil#parseHomeworkModuleCode()
to ensure that user has input 2 letters followed by 4 digits with an option to include a optional letter after the 4 digits. -
HomeworkName
would useParserUtil#parseHomeworkName()
to ensure that homework name is not a null. -
Date
would useParserUtil#parseDate()
to ensure that user has entered a date that is either a present or future date.
-
-
After validation checks are completed with no errors, a
Homework
object is then constructed withModuleCode
,HomeworkName
andDate
as the parameters -
AddHomeworkCommandParser
would then return aAddHomeworkCommand
object with theHomework
as the parameter
Take a look at the code snippet of AddHomeworkCommandParser below for an illustration:
4.1.2. Example
Given below is an example usage scenario of how add-hw
mechanism behaves at each step.
Step 1: The user executes add-hw mc/CS1101S hw/Tutorial 1 d/01/05/2019
to add a CS1101S Tutorial 1
homework with the deadline on 1st May 2019.
Step 2: LogicManager
would use UltiStudentParser#parse()
to parse the input from the user.
Step 3: UltiStudentParser
would determine which command is being used and creates the respective
parser. In this case, AddHomeworkCommandParser is being created and the user’s input would be pass in
as a parameter.
Step 4: AddHomeworkCommandParser
would do a validation check on the user’s input before creating
and returning a AddHomeworkCommand
object with Homework
as the parameter.
Step 5: LogicManager
would use AddHomeWorkCommand#execute()
to add the
ModuleCode
and Homework
into the Model
which is handled by ModelManager
Step 6: AddHomeworkCommand
would return a CommandResult
to the LogicManager
which would then
be return back to the user.
The image below illustrates the scenario of when the user executes add-hw mc/CS1101S hw/Tutorial 1
d/01/05/2019
:
4.2. Editing and Saving a note : edit-note
save-note
These two feature allows the user to edit existing note and save them after editing. |
4.2.1. Overview
The edit-note
command helps the user to open the selected notes to allow the user to start editing its content
by displaying all the content on the NotesManagerMainPanel
which is a text field. It requires the need of the
save-note
command to help save the user’s edits
Below is an activity diagram of how the users use edit-note
and save-note
to facilitate adding contents to
their existing notes:
Step 1: User will key in edit-note INDEX
on the command line
Step 2: System will do a validation check to see if INDEX
of note exist in the list of notes in the Model
.
If note does not exist, it will throw a ParserException
to the user. Else note will be opened and proceed to
step 3.
Step 3: Once it is opened, NotesManagerMainPanel
will be enabled, allowing the user to start typing their
notes in the text field.
Step 4: When the user is done editing, he/she can use save-note
in the command line to save the edited
content to the opened note.
Step 5: Upon successful save, NotesManagerMainPanel
will be disabled and user will not be able to type
anything on NotesManagerMainPanel
4.2.2. Design Considerations
Options |
Pro |
Cons |
1. Users to type their content on the command line |
- Easy implementation |
- Not user friendly |
2. Users to type their content on the |
- User friendly |
- Two sources of input, Command Line and TextField |
Option 2 is being selected and implemented as we focus on the users convenience and the ability to edit their notes easily. Separation of command line and notes text field would reduce the number of commands the user has to remember and there will be lesser confusion of command line mode or text input mode.


COM6017 Security of Control and Embedded Systems
| Summary |
This module will explore security issues in systems where computation is carried out to sense, analyse, and control physical system elements. These
systems typically react in real time to external events. Examples range from washing machines, through autonomous vehicles and traffic management
systems, to power distribution systems, automated manufacturing systems, robotic applications and web enabled toys. Many now, or will, operate as
part of the "Internet of things". A breach in security of the systems of interest could also have catastrophic safety consequences. Complications arise
when intrusions are detected, e.g. closing down a system may simply not be possible. |
| Session |
Spring 2018/19 |
| Credits |
15 |
| Assessment |
- Assessment will be 75% Open Assessment - Group Report (3000 words) and 25% Poster (Prepare a poster on a topic relevant to the module)
|
| Lecturer(s) |
Professor John Clark |
| Resources |
|
| Aims |
This unit aims to:
- A1 develop understanding of the fundamental security issues facing modern critical control and embedded architectures and of the
techniques and mechanisms to address them;
- A2 develop knowledge and understanding of the constraints under which embedded and control systems operate and how these affect how
security may be provided, e.g. how resources can be traded against security and what technologies are available for providing security in low
resource environments;
- A3 develop the student's ability to analyse the risks of specific embedded systems and to determine (synthesise) appropriate risk reduction
measures for a variety of embedded and control systems;
- A4 develop the student's team working and collaboration skills;
- A5 develop the ability to research a security topic and communicate findings to a security audience.
|
| Objectives |
By the end of the unit, a candidate will be able to:
- LO1 [A1] explain the security properties desired of systems with embedded or control architectures, such as robots, manufacturing control
systems, autonomous vehicles, and the Internet of Things, and explain why they are important;
- LO2 [A2, A3] identify the threats to embedded and control systems, what the vulnerabilities of such systems are, and what attack can be
used to compromise security;
- LO3 [A1, A2, A3] explain the architectures and security mechanisms used to uphold desired properties, the practical resource constraints
that apply, and how these influence the security that can be provided;
- LO4 [A2, A3] explain how the safety of such systems is critically dependent on security and analyse security and safety with common tools;
- LO5 [A4] appreciate the practical issues faced when working in a team (e.g. how skills and capabilities of team members can be harnessed
effectively, how levels of commitment vary, how task work may be allocated fairly, how constructive criticism may be engineered, how tasks
may be planned and organised, and how team working can go wrong) and resolve such issues when they arise;
- LO6 [A5] independently research a topic and communicate their findings about it to the general public.
|
| Content |
Cyber-physical systems.
- SCADA and SMART Systems.
- Robots, autonomous vehicles, and of advanced manufacturing systems, the Internet of Things
- Threat models for such systems and attacks on them.
- Trust and reputation in these systems.
- Security of operating systems and middleware (e.g. for Robot devices and for IoT
middleware)
- Secure Communications and Protocols. Relevant Standards.
- Hardware assurance and trusted Computing.
- Effects of limited resources. Low power design.
- Exemplars:
- Smart card security
- RFIDs
- Security of robot devices
- Manufacturing control systems
- Drone security.
Intrusion handling and difficult issues:
- Intrusion detection in control and embedded systems and Intrusion responses in various contexts
- Safety and security considered together:
|
| Teaching Method |
- 10 hours of online materials. LO1, LO2, LO3 and LO4;
- 10 hours (5 x 2 hours) practical sessions. Students work individually and also
in teams. LO1, LO2, LO3, LO4 and LO5;
- 10 hours of seminars/discussions by external speakers. LO1, LO2, LO3, and LO4;
- 70 hours of Independent study of supporting referenced materials. Wherever possible
referenced materials will be freely available on the web. Students are expected to read around the subject. independent study is an
important component of the module.
LO1, LO2, LO3, LO4 and LO6.[Note assessment is a group project for 30 hours and an individual element for 20 hours.
LO6 is addressed via the creation of an assessed poster and the independent
research needed to create it.]
|
| Feedback |
Assignments marked using published criteria, submission
commented and returned by MOLE within 3 weeks. Students will meet with their supervisors regularly (and, where relevant, external clients) to discuss progress and problems encountered,
and to review issues that arise during the project. Formative feedback will be provided by:
a) online quizzes or multiple choice quizzes, for all lectures and related content.
b) surgery hours by teaching staff
c) verbal feedback in practical sessions. |
| Recommended Reading |
See Mole pages. Almost all is web sourced. |
|


Q337: House Robber III
The thief has found himself a new place for his thievery again. There is only one entrance to this area, called the "root." Besides the root, each house has one and only one parent house. After a tour, the smart thief realized that "all houses in this place forms a binary tree". It will automatically contact the police if two directly-linked houses were broken into on the same night.
Determine the maximum amount of money the thief can rob tonight without alerting the police.
Example 1:
Input: [3,2,3,null,3,null,1]
3
/ \
2 3
\ \
3 1
Output: 7
Explanation: Maximum amount of money the thief can rob = 3 + 3 + 1 = 7.
Example 2:
Input: [3,4,5,1,3,null,1]
3
/ \
4 5
/ \ \
1 3 1
Output: 9
Explanation: Maximum amount of money the thief can rob = 4 + 5 = 9.
As in tree structure, we can say that the problem for the tree can be divided into problems of the left and right subtrees and once we get these subproblems out, we could merge them somehow to get the answer for the full tree.
It fits well for tree structure since we don’t need to worry about the issue of duplicated work. The root could either be robbed or not and the solution takes the better one among the two.
no_rob_val(node) =
max(rob_val(node.left), no_rob_val(node.left)) +
max(rob_val(node.right), no_rob_val(node.right))
rob_val(node) = node.val + no_rob_val(node.left) + no_rob_val(node.right)
From here, the first thought is to solve rob_val
and no_rob_val
separately.
But the problem is that rob_val(node)
and no_rob_val(node)
generates duplicated recursion.
More specifically, they ask for no_rob_val(node.left)
and no_rob_val(node.right)
twice.
OK, here comes the trick.
We can solve the rob_val
and no_rob_val
in one calculation, simply we calculate no_rob_val(node.left)
and no_rob_val(node.right)
once and apply to both no_rob_val(node)
and rob_val(node)
.
So, it becomes:
no_rob_val_left, rob_val_left = soln(node.left)
no_rob_val_right, rob_val_right = soln(node.right)
no_rob_val =
max(rob_val_left, no_rob_val_left) +
max(rob_val_right, no_rob_val_right)
rob_val = node.val + no_rob_val_left + no_rob_val_right
return no_rob_val, rob_val
The Python submission.
class Solution:
def rob(self, root: TreeNode) -> int:
norob_root, rob_soln = self.soln(root)
return max(norob_root, rob_soln)
def soln(self, node):
if node is None:
return 0, -float('inf')
norob_soln_l, rob_soln_l = self.soln(node.left)
norob_soln_r, rob_soln_r = self.soln(node.right)
# if rob:
res_rob = node.val + norob_soln_l + norob_soln_r
# if not rob:
res_norob = max(norob_soln_l, rob_soln_l) + max(norob_soln_r, rob_soln_r)
return res_norob, res_rob


TextFileInitializer
Table initializers from a text file.
tf.compat.v1.lookup.TextFileInitializer
tf.compat.v2.lookup.TextFileInitializer
This initializer assigns one entry in the table for each line in the file.
The key and value type of the table to initialize is given by key_dtype
and
value_dtype
.
The key and value content to get from each line is specified by
the key_index
and value_index
.
TextFileIndex.LINE_NUMBER
means use the line number starting from zero,
expects data type int64.TextFileIndex.WHOLE_LINE
means use the whole line content, expects data
type string.>=0
means use the index (starting at zero) of the split line based
on delimiter
.For example if we have a file with the following content:
emerson 10 lake 20 palmer 30
The following snippet initializes a table with the first column as keys and second column as values:
emerson -> 10
lake -> 20
palmer -> 30
table = tf.lookup.StaticHashTable(tf.lookup.TextFileInitializer( "test.txt", tf.string, 0, tf.int64, 1, delimiter=" "), -1) ... table.init.run()
Similarly to initialize the whole line as keys and the line number as values.
emerson 10 -> 0
lake 20 -> 1
palmer 30 -> 2
table = tf.lookup.StaticHashTable(tf.lookup.TextFileInitializer( "test.txt", tf.string, tf.lookup.TextFileIndex.WHOLE_LINE, tf.int64, tf.lookup.TextFileIndex.LINE_NUMBER, delimiter=" "), -1) ... table.init.run()
__init__
__init__( filename, key_dtype, key_index, value_dtype, value_index, vocab_size=None, delimiter='\t', name=None )
Constructs a table initializer object to populate from a text file.
It generates one key-value pair per line. The type of table key and
value are specified by key_dtype
and value_dtype
, respectively.
Similarly the content of the key and value are specified by the key_index
and value_index.
delimiter
.filename
: The filename of the text file to be used for initialization. The
path must be accessible from wherever the graph is initialized (eg.
trainer or eval workers). The filename may be a scalar Tensor
.key_dtype
: The key
data type.key_index
: the index that represents information of a line to get the
table 'key' values from.value_dtype
: The value
data type.value_index
: the index that represents information of a line to get the
table 'value' values from.'vocab_size
: The number of elements in the file, if known.delimiter
: The delimiter to separate fields in a line.name
: A name for the operation (optional).ValueError
: when the filename is empty, or when the table key and value
data types do not match the expected data types.key_dtype
The expected table key dtype.
value_dtype
The expected table value dtype.
initialize
initialize(table)
Initializes the table from a text file.
table
: The table to be initialized.The operation that initializes the table.
TypeError
: when the keys and values data types do not match the table
key and value data types.


Zeenaz: A Culinary Legacy
East African Style Indian Cuisine
Zeenaz
Our Cookbook
History
Testimonials
Gallery
Contact
Stir from the Heart
Previous
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The ICS event package contains all events and parsers for those events
that are generated from ICS servers. Most of the parsers appear under
the event section of the specific servers (with the default being FICS).
Some of the event objects represent server messages that look different
but are of the same category. For example the a shout and an emote-shout
are unified under the Channel event -- since shout is basically just another
channel.
This package is under heavy construction and aims to categorize all
server output into event classes.


ABOUT
SOL [School of life ]
S.O.L. was created with single purpose of giving skills to individuals who needs them, so they can have a chance at a better future and live fulfilling lives.
SUBJECTS
Hand craft
Decoratives
Consumable
Repairs
Productions
Art
School Of Life
All rights reserved 2018
SOL is a division of NCORP
About us
S.O.L is an organisation started to empower people by directly giving them skills in a shortest time possible that will allow them to start doing things for themselves, be it opening your craft shop or learning something new.
S.O.L is available to anyone that has something to gain from its offerings, but it primary target young people as it believes that empowering our young at their growing age, will create a better future for all us.
S.O.L is not a govenment organisation nor is it affilliated with any government instituation, but we are allways looking for companies private or public big or small and indiviaduals who share our vision and mission to work with us.
Please do reach us on our social media platform for anything related to our offerings :
School Of Life
All rights reserved 2018
SOL is a division of NKHICORP [ K2016457554 ]
SUBJECTS
Hand craft
Decoratives
Consumable
Repairs
Productions
Art
School Of Life
All rights reserved 2018
SOL is a division of NCORP


|
Craft
|
features
A) As a Craft player, I want to play in a generated world that contains stone blocks so that I can observe. B) As a Craft player, I want to play in a generated world that contains mountains and craters comprised of stone blocks. C) As a Craft player, I want to see realistic mountain ranges baesed and actual terrain elevation data.
A) As a Craft player, I want to play in a generated world that contains water so that I can observe. B) As a Craft player, I want to play in a generated world where water can be traversed through.
A) As a Craft player, I want to play in a generated world that contains pools and ponds comprised of water blocks. B) As a Craft player, I want to see realistic water and pools generated.
A) As a Craft player, I want to use a menu for item selection that makes choosing items easier. B) As a Craft player, I want to be able to see all available items i can select.
A) As a Craft player, I want to have a auto run feature to make testing easier.


The Ford C-5 is a strong 3 speed automatic transmission used
from 1982-1984 in Ford Rangers and 1982-1986 in 1/2 ton F-series
trucks. It is a C-4 with a lock-up torque converter. It
is 17 inches long and has 11 bolts holding on the pan.
| Transmission | 1st | 2nd | 3rd | 4th | 5th | Rev |
| C-5 | 2.46 | 1.46 | 1.00 | | | NA |


AutocompleteBoxComponent
Description
Renders a auto complete box to choose the correct option from.
Options
- name
- The name of the component
- type
autocompleteBox
- parameter
- Variable where the selection is stored
- listeners
- Array - Parameters who this component will react to
- htmlObject
- Id of the component (usually a div or a span tag) to be replaced by the result
- refreshPeriod
- Time in seconds for this component to refresh. Default is 0 (disabled)
- executeAtStart
- True to execute the component at start, false otherwise
- preExecution
- Function - Function to be called before the component is executed
- postExecution
- Function - Function to be called after the component is executed
- preChange
- Function(value) - Function to be called before the component is changed
- postChange
- Function(value) - Function to be called after the component is changed
- queryDefinition
- MetaLayer object with the definition of the query (see MetaLayer options)
- selectMulti
- Allow multiple selection. Default: false
- minTextLenght
- The minimal word length to check if there is a match
- matchType
- The type of the word match (fromStart/all). Default: fromStart
- scrollHeight
- The size of the scrollbar. Default: Not defined (without scrollbar)
- showApplyButton
- Show apply Button in multi selection mode. Default: true
- tooltip
- Tooltip to be displayed when mouse hovers
- autoUpdateFunction
- Function to be called every X second according to the autoUpdateTimeout setting
- autoUpdateTimeout
- timeout in milliseconds to call the function defined by autoUpdateFunction. Default 3 secs
- reloadOnUpdate
- on update event the component should be reloaded or only update the list of values
MetaLayer options
- queryType
- Type of query to read results from. Can be sql or mdx. Default: mdx
- jndi
- Connection to use for the query
- query
- sql or mdx Query to execute
- cube
- Cube name to use when queryType is mdx
- catalog
- Mondrian schema to use when queryType is mdx
Sample


2 Samuel 3:32
And they buried Abner in Hebron: and the king lifted up his voice, and wept at the grave of Abner; and all the people wept.


| File | Statements | Branches | Functions | Lines | |||||
|---|---|---|---|---|---|---|---|---|---|
| AuthTokenProvider.ts | 47.83% | 11/23 | 0% | 0/8 | 57.14% | 4/7 | 45.45% | 10/22 | |
| CompoundWrite.ts | 100% | 75/75 | 96.15% | 25/26 | 100% | 16/16 | 100% | 74/74 | |
| PersistentConnection.ts | 73.58% | 312/424 | 48.72% | 95/195 | 70.91% | 39/55 | 73.35% | 300/409 | |
| ReadonlyRestClient.ts | 85.33% | 64/75 | 61.76% | 21/34 | 81.82% | 9/11 | 84.51% | 60/71 | |
| Repo.ts | 74.43% | 195/262 | 50% | 37/74 | 65.38% | 34/52 | 76.11% | 188/247 | |
| RepoInfo.ts | 93.75% | 45/48 | 73.08% | 19/26 | 90.91% | 10/11 | 93.62% | 44/47 | |
| RepoManager.ts | 85.19% | 46/54 | 87.5% | 14/16 | 75% | 6/8 | 84.91% | 45/53 | |
| Repo_transaction.ts | 99.23% | 258/260 | 90.79% | 69/76 | 96.43% | 27/28 | 99.22% | 253/255 | |
| ServerActions.ts | 100% | 10/10 | 100% | 0/0 | 25% | 2/8 | 100% | 9/9 | |
| SnapshotHolder.ts | 100% | 9/9 | 100% | 0/0 | 100% | 3/3 | 100% | 8/8 | |
| SparseSnapshotTree.ts | 98.55% | 68/69 | 94.12% | 32/34 | 100% | 9/9 | 98.53% | 67/68 | |
| SyncPoint.ts | 97.85% | 91/93 | 96.88% | 31/32 | 100% | 19/19 | 97.78% | 88/90 | |
| SyncTree.ts | 98.14% | 264/269 | 95.5% | 106/111 | 100% | 43/43 | 98.11% | 259/264 | |
| WriteTree.ts | 91.71% | 188/205 | 81.9% | 86/105 | 91.18% | 31/34 | 91.58% | 185/202 |


Is our hashedIn Family about to increase? Awesome! Go ahead and create a new HU batch for them. They deserve some fun Kuna activities.
Choose any newly created HU batch and divide them in Teams


Measurement systems
Measurement systems were invented to regualte and systemize things in a society for economical and communicational purposes and as such, they are closely related to cultural contexts.
This website shows differencies between two systems with examples of one(1) of each unit.