| NBViewer | Google Colab | |
|---|---|---|
| TASK 1: BERT QA Bot on SQUAD | ||
| TASK 2: BERT Sentence Classification | ||
| TASK 3: BART Paraphrasing |
BERT QA Bot on SQUAD Dataset
Training Logs
Train loss: 1.682131371960044
Saving model checkpoint to checkpoint-1000
Model Evaluation
{
"exact": 59.230009871668315,
"f1": 61.210163805868284,
"total": 6078,
"HasAns_exact": 45.49828178694158,
"HasAns_f1": 49.634149694868604,
"HasAns_total": 2910,
"NoAns_exact": 71.84343434343434,
"NoAns_f1": 71.84343434343434,
"NoAns_total": 3168,
"best_exact": 59.493254359986835,
"best_exact_thresh": -0.10016250610351562,
"best_f1": 61.38637161248114,
"best_f1_thresh": -0.08133554458618164
}
Sample Outputs
question >> How does HT strive to give up power?
model's answer >> through "ideological struggle
question >> When did Kublai ban the international Mongol slave trade?
model's answer >> 1291
question >> What is the mayor of Warsaw called?
model's answer >> President
question >> In what geographical portion of England is Abercynon located?
model's answer >> south Wales
question >> The successful searches for what showed that the elementary particles are not observable?
model's answer >> free quarks
question >> Where did France win a war in the 1950's
model's answer >> Algeria
question >> What does the world's first Museum of Riding have one of the largest collections of in the world?
model's answer >> art posters
question >> What ethnicity was Frederick William, Elector of Brandenburg?
model's answer >> Prussia
question >> Where is a palm house with tropic plants from all over the world on display?
model's answer >> the New Orangery
question >> Who had issued the Edict of Nantes?
model's answer >> Louis XIV
question >> Whose activities were the French able to gain knowledge of?
model's answer >> Shirley and Johnson
question >> According to Ellen Churchill Semple what type of climate was necessary for humans to become fully human?
model's answer >> the temperate zone
question >> Who has a codified constitution?
model's answer >> the European Union
question >> When was Radcliffe's curriculum secularized?
model's answer >> the 18th century
question >> Minister Robert Dinwiddie had an investment in what significant company?
model's answer >> the Ohio
BERT Sentence Classification
Training Logs
======== Epoch 1 / 4 ========
Training...
Batch 40 of 241. Elapsed: 0:00:14.
Batch 80 of 241. Elapsed: 0:00:28.
Batch 120 of 241. Elapsed: 0:00:43.
Batch 160 of 241. Elapsed: 0:00:57.
Batch 200 of 241. Elapsed: 0:01:12.
Batch 240 of 241. Elapsed: 0:01:27.
Average training loss: 0.40
Training epcoh took: 0:01:27
Running Validation...
Accuracy: 0.81
Validation took: 0:00:04
======== Epoch 2 / 4 ========
Training...
Batch 40 of 241. Elapsed: 0:00:15.
Batch 80 of 241. Elapsed: 0:00:30.
Batch 120 of 241. Elapsed: 0:00:45.
Batch 160 of 241. Elapsed: 0:01:00.
Batch 200 of 241. Elapsed: 0:01:15.
Batch 240 of 241. Elapsed: 0:01:30.
Average training loss: 0.27
Training epcoh took: 0:01:30
Running Validation...
Accuracy: 0.83
Validation took: 0:00:04
======== Epoch 3 / 4 ========
Training...
Batch 40 of 241. Elapsed: 0:00:15.
Batch 80 of 241. Elapsed: 0:00:31.
Batch 120 of 241. Elapsed: 0:00:46.
Batch 160 of 241. Elapsed: 0:01:02.
Batch 200 of 241. Elapsed: 0:01:17.
Batch 240 of 241. Elapsed: 0:01:32.
Average training loss: 0.18
Training epcoh took: 0:01:33
Running Validation...
Accuracy: 0.82
Validation took: 0:00:04
======== Epoch 4 / 4 ========
Training...
Batch 40 of 241. Elapsed: 0:00:15.
Batch 80 of 241. Elapsed: 0:00:31.
Batch 120 of 241. Elapsed: 0:00:47.
Batch 160 of 241. Elapsed: 0:01:02.
Batch 200 of 241. Elapsed: 0:01:18.
Batch 240 of 241. Elapsed: 0:01:33.
Average training loss: 0.13
Training epcoh took: 0:01:34
Running Validation...
Accuracy: 0.82
Validation took: 0:00:04
Training complete!
Sample Outputs
sentence > the table was wiped by john clean .
predicted < unacceptable
true cls = unacceptable
sentence > the book surprised many people .
predicted < acceptable
true cls = acceptable
sentence > of whom are you thinking ?
predicted < acceptable
true cls = acceptable
sentence > they were interested in his .
predicted < acceptable
true cls = acceptable
sentence > the dog bit the cat .
predicted < acceptable
true cls = acceptable
sentence > who always drinks milk ?
predicted < acceptable
true cls = acceptable
sentence > john is aware of it that bill is here .
predicted < unacceptable
true cls = unacceptable
sentence > in which way is clinton anxious to find out which budget dilemma ##s pan ##etta would be willing to solve ?
predicted < acceptable
true cls = unacceptable
sentence > john was seen the book .
predicted < unacceptable
true cls = unacceptable
sentence > the argument was sum ##med by the coach up .
predicted < unacceptable
true cls = unacceptable
Training Logs: https://wandb.ai/satyajit_meow/Paraphrasing%20with%20BART?workspace=user-satyajit_meow
BART Paraphrasing
Text > How can I be less insecure about my short height?
Pred < How can I be less insecure about my height?
Truth = How can I be less insecure about my short height and looks?
Text > What are tips for saving money?
Pred < What are some tips for saving money?
Truth = What are the best methods of saving money?
Text > Why November 14, birthday of Jawaharlal is celebrated as Children's day? What exceptional thing did he do to be considered as dearest to children?
Pred < Why is the birthday of Jawaharlal Nehru celebrated as Children's Day? What exceptional thing did he do to be considered as dearest to children?
Truth = Why we celebrate Nehru's birthday as children's day?
Text > What is it like to visit India?
Pred < What is it like to visit India?
Truth = What's it like to visit India?
Text > Is a third world war coming?
Pred < Is there a third world war on the way?
Truth = Will there be a World War III soon?
Text > Can we pursue biotechnology after B.tech in mechanical engineering?
Pred < Can we pursue biotechnology after B.tech in mechanical engineering?
Truth = After completing B.Tech in mechanical engineering, what job secured course should you take?
Text > What does the MATLAB application do?
Pred < What does MATLAB application do?
Truth = What are application of MATLAB?
Text > Who is the best online dating headshot photographer in San Francisco?
Pred < Who is the best online dating photographer in San Francisco?
Truth = Who are the best Tinder photographers in San Francisco?
Text > How should I prepare for an Amazon SDE internship interview?
Pred < How do I prepare for Amazon SDE internship interview?
Truth = How should I prepare for the amazon internship written test and interview?
Text > English cooking dominated early national cooking ; but as new immigrants arrived from other countries, other colonial soups gained popularity.
Pred < Paraphrase: English cooking dominated early national cooking ; but as new immigrants arrived from other countries, other colonial soups gained popularity.
Truth = Cooking dominated early national cuisine, but as new immigrants arrived from other countries, other colonial soups gained popularity.
Text > What is the smallest decision you have made leading to the biggest impact on your life?
Pred < What is the smallest decision you have made leading to the biggest impact on your life?
Truth = What seemingly unimportant decision made the most profound impact on your life?
Text > What are the easy ways to earn money online?
Pred < How can I earn money online?
Truth = What is a way to make money online?
Text > What can I do with C after learning the basics?
Pred < What can I do after learning C?
Truth = What can I do after learning Basics of C?
Text > Where can I get professional advice for buying and selling a property in Sydney?
Pred < Where can I get professional advice for buying and selling a property in Sydney?
Truth = Where can I get necessary advice for any property transaction in Sydney?
Text > Whàt is the dark web?
Pred < What is the dark web?
Truth = Wat is the dark web?
Bidirectional Encoder Representations from Transformers
BERT is basically a trained Transformer Encoder stack. Both BERT models (Large & Base) have large number of encoder layers (Transformer Blocks) - 12 for the Base version and 24 for the large version.
Model Input: The first input token is [CLS]
, which stands for Classification. Just like a normal Transformer, BERT takes a sequence of words as input.
Model Outputs: Each position of the sequence outputs a vector of size hidden_size
. For sentence classification we only focus on the first position (the [CLS]
token position. The vector can now be used to classify into the class you chose. If you have more classes, this last layer (Classifier Network) is only changed.
As opposed to directional models, which read the text input sequentially (left-to-right or right-to-left), the Transformer encoder reads the entire sequence of words at once. Therefore it is considered bidirectional, though it would be more accurate to say that it’s non-directional.
Before feeding word sequences into BERT, 15% of the words in each sequence are replaced with a [MASK]
token. The model then attempts to predict the original value of the masked words, based on the context provided by the other, non-masked, words in the sequence.
The BERT loss function takes into consideration only the prediction of the masked values and ignores the prediction of the non-masked words. As a consequence, the model converges slower than directional models.
In the BERT training process, the model receives pairs of sentences as input and learns to predict if the second sentence in the pair is the subsequent sentence in the original document. During training, 50% of the inputs are a pair in which the second sentence is the subsequent sentence in the original document, while in the other 50% a random sentence from the corpus is chosen as the second sentence. The assumption is that the random sentence will be disconnected from the first sentence.
Bidirectional and Auto-Regressive Transformers
BART is a denoising autoencoder built with a sequence-to-sequence model that is applicable to a very wide range of end tasks.
BART is trained on tasks where spans of text are replaced by masked tokens, and the model must learn to reconstruct the original document from this altered span of text.
BART improves on BERT by replacing the BERT’s fill-in-the-blank cloze task with a more complicated mix of pretraining tasks.
In the above example the origin text is A B C D E
and the span C, D
is masked before sending it to the encoder, also an extra mask is placed between A
and B
and one mask is removed between B
and E
, now the corrupted document is A _ B _ E
. The encoder takes this as input, encodes it and throws it to the decoder.
The decoder must now use this encoding to reconstruct the original document. A B C D E
satyajit
:wq 🐈⬛


PCCULL CODE FOR CULLING POINT CLOUDS OF POINTS NEAR DSMS
INDEX
The code was originally written to cull very large point clouds where the viewer was decimating severely.
The hope was that if we culled out all the points near the corresponding DSMs that we could greatly reduce the size of the files
and thus show a much larger percentage of the points.
When we did this, we reduced the file size by about half -- not as good as we had hoped but still useful.
The resulting point clouds look significantly denser.
When the files are culled, they have to be combined with the DSM since they lose almost all their smooth areas like grass and roof tops.
The combination looks better since the point clouds add clutter to the DSM and the point clouds are denser also.
So culling is useful if the 2 datasets are combined.
The culling process takes some time, so we implemented it in a separate utility.
We made the ROI larger than default (1280x1280 rather than 128x128) and that sped up the computations greatly.
With default values it was spending most of its time rereading the elevation data for new ROIs.
One specifies all all point cloud files within a directory that match a pattern (default *.las).
The search is recursive so finds files in subdirectories.
Likewise, one finds all DSMs within a directory that match a pattern (default *.tif).
One also specifies a culling threshold; all points are culled whose elevation is closer than that threshold to the corresponding DSM elevation.
The output filenames are constructed from the input point cloud filenames by inserting "_cull".
For example the input file test.las would generate an output file test_cull.las.
The process is to read a block of point cloud data from the input file, cull it, then write it out.
Therefore, it should be able to read arbitrarily large files without memory problems.
I made both 32-bit and 64-bit releases of PCCull.
I was able to put the 32-bit version in the Fusion3D bin (C:/Fusion3D/bin_r5.64) and it worked properly.
I had to put the 64-bit version in a separate bin (C:/Fusion3D/bin_PCCull_x64).
I put the executable in and added all the .dll files that were flagged as missing when I tried to start the program.
I still was getting the error message that the program failed to start.
I was able to get it to work by copying into the its bin all the .dll files from the GDAL bin.
A link to an old 32-bit GDAL is included in the path, so I guess that it is trying to pull some .dll out of that dir.
There are some new functions in the new version, so it flags those as missing but is looking for the common functions in the 32-bit dir.
I ran PCCull on all the registered .las files (reg*.las) in the dir Damon is using for demos: D:/data/Adelaide/pointclouds_large2.
This produced a group of "_cull.las" files.
Damon is only using a subset of these files, so I deleted the rest.
I made a new Project File using the culled files, D:/data/Adelaide/Adelaide_demo_jfd.s4d.


main() {
// The ?? operator returns the first expression IFF it is not null
var monday = 'doctor';
var tuesday;
var next = tuesday ?? monday;
print('next appointment: $next');
// the ??= operator assigns a value IFF it is not null
var wednesday;
next ??= wednesday;
print('next appointment: $next');
// the ? operator calls a function IFF the object is not null
String thursday;
var length = thursday?.length;
print('length: $length');
}
$ dart nullaware.dart
next appoinment: doctor
next appointment: doctor
length: null


Food
Urgent
Clothes
Requests
Expressions
Body Related
Responses
Junk Food
Healthy Food
Restaurant
Not Hungry
When Will We Eat
I Will Eat Anything
Water
Drink
Hungry
Toilet
Medicine
Help!
Put On My Clothes
I Want To Wear Something Else
Wear This
Take Me There
I Want
Can I Have
Give Me
Hold This
Happy
Sad
Angry
Scared
Disgusted
Excited
Body Is Hurting Here
I Cannot Move
Massage Me Here
Cold
Hot
I Don't Feel Good
Yes
No
Maybe
Now
Later
Excuse Me


--- layout: post title: Never think, never learn date: 2009-07-20 10:54:55.000000000 +02:00 categories: [] tags: [] status: publish type: post published: true meta: _edit_last: '5236424' author: login: stricksucht email<EMAIL_ADDRESS>display_name: stricksucht first_name: '' last_name: '' ---
Over the last two days, I've been thinking "Oh, I shouldn't have done that" constantly. This thought is not referring to my stash raid, by the way (I postponed that), but to the fact that I gave the Owls Sweater a try. I have this gorgeous merino yarn, and I meant to start a pullover or cardigan or any other other garment that might keep me warm once winter has come with it anyway. (And it's really not that hard to knit winter garments right now, considering the temperature we have to endure here in Germany for the past few days.) I really don't know how long I can keep to it, and if it'll come out allright, because I had to recalculate almost everything due to gauge. We'll see about that *sigh*


public class ThreadInfo extends Object
Object.wait
method,
orLockSupport.park
call.thread contention monitoring
was enabled. Some Java virtual machine implementation
may not support this. The
ThreadMXBean.isThreadContentionMonitoringSupported()
method can be used to determine if a Java virtual machine
supports this.This thread information class is designed for use in monitoring of the system, not for synchronization control.
CompositeData
with attributes as specified in
the from
method.ThreadMXBean.getThreadInfo(long)
,
ThreadMXBean.dumpAllThreads(boolean, boolean)
| Modifier and Type | Method and Description |
|---|---|
static ThreadInfo |
from(javax.management.openmbean.CompositeData cd)
Returns a ThreadInfo object represented by the
given CompositeData.
|
long |
getBlockedCount()
Returns the total number of times that
the thread associated with this ThreadInfo
blocked to enter or reenter a monitor.
|
long |
getBlockedTime()
Returns the approximate accumulated elapsed time (in milliseconds)
that the thread associated with this ThreadInfo
has blocked to enter or reenter a monitor
since thread contention monitoring is enabled.
|
MonitorInfo[] |
getLockedMonitors()
Returns an array of
MonitorInfo objects, each of which
represents an object monitor currently locked by the thread
associated with this ThreadInfo. |
LockInfo[] |
getLockedSynchronizers()
Returns an array of
LockInfo objects, each of which
represents an ownable
synchronizer currently locked by the thread associated with
this ThreadInfo. |
LockInfo |
getLockInfo()
Returns the LockInfo of an object for which
the thread associated with this ThreadInfo
is blocked waiting.
|
String |
getLockName()
Returns the
string representation
of an object for which the thread associated with this
ThreadInfo is blocked waiting. |
long |
getLockOwnerId()
Returns the ID of the thread which owns the object
for which the thread associated with this ThreadInfo
is blocked waiting.
|
String |
getLockOwnerName()
Returns the name of the thread which owns the object
for which the thread associated with this ThreadInfo
is blocked waiting.
|
StackTraceElement[] |
getStackTrace()
Returns the stack trace of the thread
associated with this ThreadInfo.
|
long |
getThreadId()
Returns the ID of the thread associated with this ThreadInfo.
|
String |
getThreadName()
Returns the name of the thread associated with this ThreadInfo.
|
Thread.State |
getThreadState()
Returns the state of the thread associated with this ThreadInfo.
|
long |
getWaitedCount()
Returns the total number of times that
the thread associated with this ThreadInfo
waited for notification.
|
long |
getWaitedTime()
Returns the approximate accumulated elapsed time (in milliseconds)
that the thread associated with this ThreadInfo
has waited for notification
since thread contention monitoring is enabled.
|
boolean |
isInNative()
Tests if the thread associated with this ThreadInfo
is executing native code via the Java Native Interface (JNI).
|
boolean |
isSuspended()
Tests if the thread associated with this ThreadInfo
is suspended.
|
String |
toString()
Returns a string representation of this thread info.
|
public long getThreadId()
public String getThreadName()
public Thread.State getThreadState()
public long getBlockedTime()
BLOCKED
state since thread
contention monitoring was last enabled.
This method returns -1 if thread contention monitoring
is disabled.
The Java virtual machine may measure the time with a high resolution timer. This statistic is reset when the thread contention monitoring is reenabled.
UnsupportedOperationException
- if the Java
virtual machine does not support this operation.ThreadMXBean.isThreadContentionMonitoringSupported()
,
ThreadMXBean.setThreadContentionMonitoringEnabled(boolean)
public long getBlockedCount()
BLOCKED
state.public long getWaitedTime()
WAITING
or TIMED_WAITING
state
since thread contention monitoring is enabled.
This method returns -1 if thread contention monitoring
is disabled.
The Java virtual machine may measure the time with a high resolution timer. This statistic is reset when the thread contention monitoring is reenabled.
UnsupportedOperationException
- if the Java
virtual machine does not support this operation.ThreadMXBean.isThreadContentionMonitoringSupported()
,
ThreadMXBean.setThreadContentionMonitoringEnabled(boolean)
public long getWaitedCount()
WAITING
or TIMED_WAITING
state.public LockInfo getLockInfo()
BLOCKED
state waiting to enter the synchronized statement
or method.
WAITING
or TIMED_WAITING
state
due to a call to the Object.wait
method.
WAITING
or TIMED_WAITING
state
due to a call to the
LockSupport.park
method. The synchronization object
is the object returned from
LockSupport.getBlocker
method. Typically it is an
ownable synchronizer
or a Condition
.This method returns null if the thread is not in any of the above conditions.
public String getLockName()
string representation
of an object for which the thread associated with this
ThreadInfo is blocked waiting.
This method is equivalent to calling:
getLockInfo().toString()
This method will return null if this thread is not blocked waiting for any object or if the object is not owned by any thread.
getLockInfo()
public long getLockOwnerId()
getLockInfo()
public String getLockOwnerName()
getLockInfo()
public StackTraceElement[] getStackTrace()
Some Java virtual machines may, under some circumstances, omit one or more stack frames from the stack trace. In the extreme case, a virtual machine that has no stack trace information concerning the thread associated with this ThreadInfo is permitted to return a zero-length array from this method.
public boolean isSuspended()
Thread.suspend()
has been called.public boolean isInNative()
public String toString()
public static ThreadInfo from(javax.management.openmbean.CompositeData cd)
Attribute Name Type threadId java.lang.Long threadName java.lang.String threadState java.lang.String suspended java.lang.Boolean inNative java.lang.Boolean blockedCount java.lang.Long blockedTime java.lang.Long waitedCount java.lang.Long waitedTime java.lang.Long lockInfo javax.management.openmbean.CompositeData - the mapped type for LockInfo
as specified in theLockInfo.from(javax.management.openmbean.CompositeData)
method.If cd does not contain this attribute, the LockInfo object will be constructed from the value of the lockName attribute.
lockName java.lang.String lockOwnerId java.lang.Long lockOwnerName java.lang.String stackTrace javax.management.openmbean.CompositeData[] Each element is a CompositeData representing StackTraceElement containing the following attributes:
Attribute Name Type className java.lang.String methodName java.lang.String fileName java.lang.String lineNumber java.lang.Integer nativeMethod java.lang.Boolean lockedMonitors javax.management.openmbean.CompositeData[] whose element type is the mapped type for MonitorInfo
as specified in theMonitor.from
method.If cd does not contain this attribute, this attribute will be set to an empty array.
lockedSynchronizers javax.management.openmbean.CompositeData[] whose element type is the mapped type for LockInfo
as specified in theLockInfo.from(javax.management.openmbean.CompositeData)
method.If cd does not contain this attribute, this attribute will be set to an empty array.
cd
- CompositeData representing a ThreadInfoIllegalArgumentException
- if cd does not
represent a ThreadInfo with the attributes described
above.public MonitorInfo[] getLockedMonitors()
MonitorInfo
objects, each of which
represents an object monitor currently locked by the thread
associated with this ThreadInfo.
If no locked monitor was requested for this thread info or
no monitor is locked by the thread, this method
will return a zero-length array.public LockInfo[] getLockedSynchronizers()
LockInfo
objects, each of which
represents an ownable
synchronizer currently locked by the thread associated with
this ThreadInfo. If no locked synchronizer was
requested for this thread info or no synchronizer is locked by
the thread, this method will return a zero-length array.Dracula Javadoc Sample, Made with Allan Im.


Barça's Busquets taken off against Slavia Prague with stomach problem
The midfielder was unable to finish the game at Camp Nou on Wednesday
by sport.esSergio Busquets had stomach problems during Barcelona's game against Slavia Prague which left him dizzy and forced him to be taken off in the second half.
The Spain midfielder was replaced by Ivan Rakitic in the 68th minute as Camp Nou as Ernesto Valverde's side were held to a surprise goalless draw in the Champions League by the Czechs.
Busquets will undergo further tests in the coming hours and it's not been ruled out that he sits out the weekend's game against Celta Vigo in La Liga.
He remains a regular in Robert Moreno's Spain squad and is expected to be in the squad for upcoming qualifiers against Malta and Romania, although La Roja have already sealed their place in next summer's European Championships.
Jordi Alba (hamstring) and Luis Suarez (calf) are also major doubts for Saturday's match against Celta.


Server class ID.
Entity is scheduled for removal this tick.
Entity index.
Serial number.
Current cash
Alive players that this player has spotted
Alive players that have spotted this player
Player armor (0-100)
How many assists the player has made
Cash that this player has spent this round
Cash that the player has spent all game
Clantag of the player
Object representing user-customisable crosshair settings.
Current equipment value
How many times the player has died
Duration of a flash that hit the player
Freeze time end equipment value
Number uniquely identifying this entity. Should be unique throughout the entire demo.
Whether the player holds the C4
Does the player have a defuser?
Does the player have a helmet?
Current health
lifeState == 0
Does the player is controlling a BOT?
Is the player defusing?
True if this entity is out of the PVS. Always false on GOTV demos as all entities are always in the PVS.
Is ducked
Player is transitioning from ducked -> standing or standing -> ducked
Is this player fake (i.e. a bot)
Is this player a HLTV relay
Is the player is the bomb zone?
Is the player in the buy zone?
Is scoped
Has this player been spotted by any others?
Is walking
How many kills the player has made
Object representing the player's performance per round
Name of the model that should be rendered for this entity. (e.g. 'models/Weapons/w_eq_smokegrenade_thrown.mdl')
Entity which this entity is moving with, if any
MVPs of the player
Player name
Owning entity, if any
Current navmesh place name
Round start equipment value
Score of the player
Get the serverclass associated with this entity.
Object representing the entity's class
Speed of the entity.
Speed in game units.
Steam 64 ID
Steam ID
Team if assigned, null if unassigned.
Team number (0: Unassigned, 1: Spectator, 2: Terrorist, 3: Counter-Terrorist)
User ID
User info associated with this player
Currently held weapon
All weapons helds by this player
Interpret an array-like data table (e.g., m_iAmmo) as an array
Name of the data table
Retrieves the value of a networked property
Table name (e.g., DT_BaseEntity)
Network variable name (e.g., m_vecOrigin)
Property value, undefined
if non-existent
Checks if this player has spotted another. Can still return true even if this player is dead.
Other player entity
Has this player spotted the other?
Other player entity
Whether the two players are on the same team
Checks if this player has been spotted by the other. Note that this still returns true if spotted by the other player even if the other player is dead.
Other player entity
Is this player spotted by the other?
Retrieves the value of an array property on the singleton entity DT_CSPlayerResource.
Property value
Update the value of a prop
Name of the data table
Name of the prop to update
New prop value
Generated using TypeDoc
Represents an in-game player.


Getting started with Simpletools\Page\Layout
Simpletools\Page\Layout has been designed to provide you with simple and highly efficient layout engine which works great with Simpletools\Mvc.
Simpletools\Page\Layout doesn't provide any new templating language, instead we have decided to stick to what you already know and will guarantee the best performance - PHP
You can simply code in language you already know and be sure performance won't be impacted by any extra layer.
Requirements
Simpletools framework requires PHP version >= 5.3.0
Setup
Simpletools\Page\Layout can be used as a standalone class however for purpose of that document we assume that you are using Simpletools\Mvc alongside hence will provide examples based on that.
Installation
To see how to install \Simpletools framework please click here.
Initialization
To enable Simpletools\Page\Layout you just need to wrap a $router->dispatch as follow:


Guard Stan:
Well, it's a game where you have to guess the colours of three coins I have on me. I know, I know... not the greatest game in the world, but these are long hours, and I have to keep myself entertained, you know?
"Okay."


@* * Copyright 2019 HM Revenue & Customs * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *@ @import include._ @()(implicit request: Request[_],m:Messages) @header = { @heading("start.title") } @main( title = Messages("start.title") + " - " + Messages("summary.start"), heading = header, userLoggedIn = false ) {
@Messages("start.line1")
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I started off by looking at the directions. I plugged in resistors where I need to plug in resistors; same goes with capacitors, push buttons, and the clock. I learned to use soldering, and this allowed for me to keep everything in tact.
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