Located in /Builder.php (line 18)
Terminalor_Builder_Abstract | --Terminalor_Builder
Builds protable php cli file, method will run all commands
with specified params in $commands, all files included in build will be minimized if @see isMinimizeSource() is true, all static includes will be commented out. If default params are not specified in $commands null value will be sent. You can change behavior of your command using _TERMINALOR_BUILDER_ constant which is true using building process.
Include files in directory for build, this method is wrapper for includeFileForBuild()
Include file for build, file source open/close tags will be stripped all includes commented out if $minimizeSource is true then file source will be minimized
Save build content
Inherited From Terminalor_Builder_Abstract
Terminalor_Builder_Abstract::__construct()
Terminalor_Builder_Abstract::addExcludeClassPattern()
Terminalor_Builder_Abstract::addIncludeClassPattern()
Terminalor_Builder_Abstract::appendBuildSource()
Terminalor_Builder_Abstract::build()
Terminalor_Builder_Abstract::classIsAllowed()
Terminalor_Builder_Abstract::getBootstrapString()
Terminalor_Builder_Abstract::getBuildHeader()
Terminalor_Builder_Abstract::getBuildSource()
Terminalor_Builder_Abstract::getExcludeClassesPatterns()
Terminalor_Builder_Abstract::getFileSource()
Terminalor_Builder_Abstract::getIncludeClassesPatterns()
Terminalor_Builder_Abstract::getOpenPhpTag()
Terminalor_Builder_Abstract::getSourceFilename()
Terminalor_Builder_Abstract::getSourceIncludes()
Terminalor_Builder_Abstract::getTargetFilename()
Terminalor_Builder_Abstract::isMinimizeSource()
Terminalor_Builder_Abstract::prependBuildSource()
Terminalor_Builder_Abstract::setBuildHeader()
Terminalor_Builder_Abstract::setBuildSource()
Terminalor_Builder_Abstract::setTargetFilename()
Terminalor_Builder_Abstract::stripPhpTags()
Terminalor_Builder_Abstract::_assembleClosureParams()
Documentation generated on Tue, 07 Feb 2012 14:40:54 +1100 by phpDocumentor 1.4.4


Target Audience
The target audience is adults who actively check the weather on a daily or weekly basis. These adults typically commute to work in some fashion. These adults rely on weather updates so they know what to wear, which route to take to work and what vehicle to transport in.
Personas
Persona 1:
Amelio lives five blocks from his job at the local hospital. When the weather is good, he loves to ride his bike to work. Every morning, Amelio checks the weather to see if it is a good day to take the bike or to see if he needs to take his car. When there is precipitation, Amelio will not take is bike. When he checks the weather, he checks both his departing and returning commutes just in case it's sunny in the morning and raining in the evening.
Persona 2:
Jules is a project manager for a large corporation and flies across the country at least once a month. Before he leaves on a work trip, he checks the forecast in the area he is traveling. He likes to know what a full week's forecast will look like so he knows what clothes to pack and how close his hotel needs to be to the office he will be working at.
Scenarios
Scenario 1:
The user of the site wants to know the forecast for the day, which includes an hour by hour view of the temperature, humidity, air quality, and major weather events.
Scenario 2:
The user wants to know the weekly forecast which will give them the average temperature for each day of the week and major weather events.
Scenario 3:
Some user is checking the site to see what will be a good week to take time off to travel across the state to see their parents.
Scenario 4:
Someone checks the site so that they know if the upcoming week is going to be too hot for their dog to be outside all day.
Scenario 5:
A local running race director checks the forecast to see what type of gear the race participants need to bring for their upcoming race.


Welcome to Ward's University Statistics Data Visualization!
You can:
- Mouse over a point to see information about that school
- Change the x and y axes to a variety of variables.
- Randomize the data selection (Currently the top 100 universities are on display.)


The Top Dog Of Social Networking: Facebook
Authored By: Robert Diasio
Many of Facebook's features were not unique to Facebook itself when the platform first launched in 2004. Initially Facebook was simply just an improved Myspace (another social networking site that was more popular at the time). However, what initially set Facebook apart was the fact that it was limited to Harvard Students, and later extended to other Ivy League universities.
Myspace dominated the social networking space until around 2008 when Facebook not only overtook the website as the primarily social networking website, but also taking making its way into the top three spot kicking the previous No.3 most visited webiste at the time, AOL. This then begs the question of what happened in the time between Facebook's first launch in 2004 and its rise in 2008? What changed about the website?
Notably, Facebook is a website that is extremely user friendly. It makes it incredibly easy to connect with others around you. Combine this with friends that are easy to find, an instant messaging system that felt good to use, and maybe different features like a News Feed, Liking Posts, and a Timeline, you now have a recipe for the best social networking platform available. This was not a case of "no competition." Facebook WAS the competition during its rise.
Cant beat them? Buy them!
Through the years it can be seen that Facebook has truly aligned itself with Disney's way of thinking. They have purchased the following entities that tried to move into the social networking space: Instagram, WhatsApp, and FriendFeed just to name a few. They even tried to buy Snapchat, but when Mark Zuckerberg (the creator of Facebook) was declined, he instead turned his sights to killing Snapchat through Instagram.


GLANCE
Better inspections at a glance
Monitoring Dashboard
{{ install_id|safe }}
Reading from sensors: EPS1, FS1, FS2, PS1, PS2, PS3, PS4, PS5, PS6, TS1, TS2, TS3, TS4, VS1
Commissioned on 2019-01-30 (17 hr 30 min collected)
Normal operation
{% block n_body %}{% endblock %}Faulty operation
Danger!
High anomaly rate detected.
Maintenance required for installation {{ install_id|safe }}.
{% block f_body %}{% endblock %}


Moo Moo
Hi, I'm a cat. Meow!
Some of my favorite places:
The bed
The couch
Sitting by the window
Make sure to follow me on
Facebook


--- layout: post title: Splitting REST tags: [] status: publish type: post published: true meta: _edit_last: '1' dsq_thread_id: '17413800' ---
I talk a lot about REST. You can probably guess what my day-to-day is like. Get used to it.
There is a Mark vs. Mark (gentle) debate about REST, SOA, and WS-*. (Hint: look at the comments...insightful).
As for REST vs. SOA versus REST vs WS-*, I chose the former (despite noticing you using the latter) because you can’t really compare an architectural style to a set of specifications.


Click To Learn More
The Magic 8-Ball is a plastic sphere made to look like an eight-ball,
that is used for fortune-telling or seeking advice.
It was first invented in 1950 by Albert C. Carter and Abe Bookman,
and is currently manufactured by Mattel.
The user asks a yes–no question to the large ball,
then turns it over to expose a written answer in a window on the ball.


safepredict
has two goals: to provide a consistent interface to prediction via the safe_predict()
generic, and to accurately quantify prediction uncertainty.
safepredict
follows the tidymodels prediction specification.
safepredict
is currently in the beginning stages of development and is available only on Github. You can install it with:
The three main arguments to safe_predict()
are always the same:
object
: A model object you would like to get predictions from.
new_data
: Required. Data in the same format as required for the predict()
method.
type
: What kind of predictions you would like. Options are:
| type | application |
|---|---|
response |
numeric predictions |
class |
hard class predictions |
prob |
class probabilities, survivor probabilities |
link |
glm linear predictor |
conf_int |
confidence intervals |
pred_int |
prediction intervals |
Suppose you fit a logistic regression using glm
:
library(tibble)
data <- tibble(
y = as.factor(rep(c("A", "B"), each = 50)),
x = c(rnorm(50, 1), rnorm(50, 3))
)
fit <- glm(y ~ x, data, family = binomial)
You can predict class probabilities:
library(safepredict)
test <- tibble(x = rnorm(10, 2))
safe_predict(fit, new_data = test, type = "prob")
#> # A tibble: 10 x 2
#> .pred_A .pred_B
#> <dbl> <dbl>
#> 1 0.333 0.667
#> 2 0.0410 0.959
#> 3 0.619 0.381
#> 4 0.467 0.533
#> 5 0.132 0.868
#> # ... with 5 more rows
or can jump straight to hard class decisions
safe_predict(fit, new_data = test, type = "class")
#> # A tibble: 10 x 1
#> .pred_class
#> <fct>
#> 1 B
#> 2 B
#> 3 A
#> 4 B
#> 5 B
#> # ... with 5 more rows
We can also get predictions on the link scale:
safe_predict(fit, new_data = test, type = "link")
#> # A tibble: 10 x 1
#> .pred
#> <dbl>
#> 1 0.696
#> 2 3.15
#> 3 -0.485
#> 4 0.132
#> 5 1.88
#> # ... with 5 more rows
or we can get confidence intervals on the response scale


Ast/bd = 0.24(D/d)^2 fct.f'/fsy slab supported by columns at corners
Ast/bd = 0.19(D/d)^2 fct.f'/fsy slab supported by beams or walls on four sides
Slab full enclosed building except during construction
minor crack control 1.75bDe-3
moderate crack control (cracks inconsequential or hidden from view) 3.5bDe-3
high crack control (crack control reqd for appearance or reflect through finishes) 6bDe-3
Slab with A1 or A2 exposure classification
moderate crack control (cracks inconsequential or hidden from view) 3.5bDe-3
high crack control (crack control reqd for appearance or reflect through finishes) 6bDe-3
Slab with B1, B2, C1 and C2 exposure classification
high crack control is always required 6bDe-3
K = M*/bd^2 => au
Ast = M*e6/(au d)
Muomin = 1.2*Z*fct.f'
Z rect = bh^2/6
Flexural moment capacity for unreinforced concrete footings
phiM = phi*Z*f'ct.f
D = 50 mm less than depth
phi = 0.6
f'ct.f = 0.6SQRT(f'c)


def end(name, begin_time):
global DATA_TIMES
torch.cuda.synchronize()
end_time = perf_counter()
delta = end_time - begin_time
try:
def end(name, begin_time):
global DATA_TIMES
if torch.cuda.is_available():
torch.cuda.synchronize()
end_time = perf_counter()
delta = end_time - begin_time
try:


@import models.Members.EnumMem;
@(meetings:List[Meetings])(meetingMembers:List[MeetingMembers])
@base("Meetings") {
No meeting started !
No meeting completed !
No sprint running.
@if(SessionController.authorization(EnumMem.SCRUM_MASTER)){
Please start a sprint to use meetings.
}else {
The Scrum Master must start a sprint to use meetings.
}


Welcome to my blog! You'll find some projects that I worked on and some posts relevant to my participation at DevBootcamp
Feel free to contact me if you'd like to collaborate!
Welcome to my blog! You'll find some projects that I worked on and some posts relevant to my participation at DevBootcamp
Feel free to contact me if you'd like to collaborate!


Dr. Sunali has over 20 years experience in the dental field. Having worked in various parts of the country and abroad. She has expertise in latest dental practices and procedures for all age groups. Amongst others, she has worked with Ex-Servicemen Contributory Health Scheme (ECHS) in Darjeeling, Dimapur and Chandigarh where she won the hearts of our veterans. Being from an Air Force background and married to an army officer, she has a special place for veterans and serving personnel in her heart and clinic. Her ethos of ethical and honest dentistry is imbibed in her team at Dr. Sunali's Dental Solutions.
Dr. Dubey is one of a handful of cosmetic dentists who takes responsibility for determining all of these critical aesthetic factors by creating a mock up on the patient's own teeth. He has been highly effective in managing dental implants.
Dr. Vishal Gupta graduated with honors from Pune University in 1999. He procured Masters Degree in Orthodontics with
the highest accolades in Post graduate studies, as he was conferred a gold medal and was adjudged the best outgoing
student in the university. Following this Royal College of Surgeons, Edinburgh, recognized his talent in Orthodontics
and bestowed the coveted M.Ortho RCS fellowship. Subsequently he went on to attain fellowship in Implantology from
the prestigious Manipal University.
The last 7 years saw Dr.Gupta towering numerous advance dental workshops in Australia, USA & India.
He's been a part of various Orthodontic Conferences and Workshops at the National & International level. He is currently
the Executive Member of the Indian Orthodontic Society. Dr. Gupta has received many awards and honors along his professional
tenure.


{% include head.html %}
{% include header.html %} {% include find_hotel.html %} {% include our_rooms.html %} {% include equipment_services.html %} {% include contact_booking.html %} {% include clients.html %} {% include footer.html %} {% include modals.html %} {% include js.html %}


This is a minimal Flask app to attempt to summarize a book from Project Gutenberg.
Provide a link to the text file of the ebook and hit Submit.
e.g.: https://www.gutenberg.org/files/103/103.txt


Main class taking care of routing and errors.
Located in /app/appCore.php (line 18)
| Class | Description |
|---|---|
| appDatabase | Takes care of all connecions and queries done to databases. |
| appUser | User management. |
| appController | Main controller for the framework. The index() method should always exist! |
| welcomeController | Example controller for the framework. The index() method should always exist! |
| menuHelper | Example helper for the framework. |
Throws given error and ends the request. If the appropriate error template exists it will be shown.
To use the template name the appropriate file in templates/ as "error_numberofError.php", for example "error_404.php". If a debug mode is on ("debug" option in appConfig), then it will also include $message in the output.
Lazy-loading of an appCache class that may not be always needed.
Every controller should call this method to access appCache class.
Lazy-loading of an appCookie class that may not be always needed.
Every controller should call this method to access appCookie class.
Lazy-loading of an appDatabase class that may not be always needed.
Every controller should call this method to access appDatabase class.
Redirect's user to another location.
Lazy-loading of an appRequest class that may not be always needed.
Every controller should call this method to access appRequest class.
First and only method that should be called to start the framework.
It handles all initializations, creates basic objects, starts sessions, etc.
Shortcut to throwError(404).
Shortcut for self::sthrowError() that can be called non-statically.
Lazy-loading of an appUser class that may not be always needed.
Every controller should call this method to access appUser class.
Documentation generated on Thu, 05 Jan 2012 09:39:03 +0100 by phpDocumentor 1.4.3


Learning Teams MITx: 6.00.1x Lecture 1
These notes follow the course material directly.
Declarative Knowledge is a statement of fact, statement of truth.
Square root of number x is y such that y*y = x
Imperative Knowledge is a recipe a how-to, computation.
An algorithm is a conceptual idea (math concept) and a program is concrete application of an algorithm.
Fixed Program Computer, example a calculator
Stored Program Computer, machine stores and executes instructions, what we use
Inside the computer is an interpreter, understands instructions and does computations.
ALU unit does is it takes information from memory, reads it in-- often two pieces of information if I'm going to do an operation that takes two inputs-- is going to do a primitive operation could be addition, could be subtraction, could be testing to see if something is true or false, and then typically is going to store stuff back up into memory.
Control Unit / Program Counter points to the first instruction for the ALU to do operations on.
Abstract create new primitives, using the primitives provided by the language
Programming languages offer a set of primitive operations
Expressions are complex, legal combinations of primitives in a programming language
Expressions and computations have values and meanings in a programming language.
Primitive Constructs
English: words
Programming Language: numbers, strings, simple operators (addition, subtraction, comparison)
Syntax is this a legal string or sentence
Static Semantic is a syntactically valid string that can be computed. Things are in the right order with the right types and operations. It can have meaning.
3*5 → syntactically valid
3+"hi" → static semantic error, legally valid but cannot be computed, no meaning
Semantics is the actual meaning with a syntactically legal string of symbols with no static semantic errors.
Where things often go wrong
Syntactic error illegal combination or typo in string
Static semantic error things in the right order, but don't make sense
Semantic error most challenging, the program doesn't do what expected.
A python program sequence of definitions and commands.
Definitions evaluated, definitions are assigning names to values.
Commands executed by Python interpreter
Commands / Statements instruct the interpreter to do something
Programs manipulate data objects
Objects have types
Scalar objects cannot be subdivided
Non-scalar objects have internal structure that can be accessed
Some scalar objects examples in Python
int - integar
float - number with decimal
bool - True or False
NoneType - special None value
Casting convert a type into something else
>>> int(3.9)
3
# Valid expression syntax
# ‹object›‹operator›‹object›
>>> 3 + 2
5
>>> 3.0 + 2
5.0
Equal sign is an assignment of a value to a variable name. Stores the value in computer memory for the program to access. This will be especially useful and key to programming after other concepts are more developed.
>>> pi = 3.14159
>>> pi
3.14159
>>> pi_approx = 22/7
>>> pi_approx
3.142857142857143
It's useful to give informative names to code, so you can remember what the variable is used for and others can understand your semantic intention. Reusing variables is permitted as well, but reusing will become clearer later on when to reuse and when to create new variables.
>>> pi = 3.14159; radius = 2.2; area = pi*(radius**2)
>>> area
15.205295600000001
>>> area + 1
16.2052956
>>> area # note the value of area is not changed
15.205295600000001
>>> area += 1 # after reassignment it changes, same as area = area + 1
>>> area
16.2052956
Below are operators you will be using to compare to values. The first line shows the legal syntax for comparing two values with a comparison operator.
‹value› ‹operator› ‹value›
‹value› > ‹value›
‹value› >= ‹value›
‹value› < ‹value›
‹value› <= ‹value›
‹value› == ‹value›
‹value› != ‹value›
‹value› and ‹value›
‹value› or ‹value›
not a → is the opposite value.
If 'a is True' than the 'not a' evaluates to 'False'. If 'a is False' than 'not a' evalutes to 'True'
a and b → is 'True' if both 'a' and 'b' are 'True'.
Is 'False' if at least 1 of the values is 'False'.
a or b → 'True' if at least one value is 'True' or both are 'True'.
Conditional using True or False to tell the computer what to do.
It let us do different things, apply logic.
The indentation is required per each conditional statement
# Conditional Example
x = int(input('Enter an integer: '))
if x%2 == 0:
print('')
print('Even')
else:
print('')
print('Odd')
print('Done with conditional')
# Nested Conditional
If x%2 == 0:
If x%3 == 0:
print('Divisible by 2 and 3')
else:
print('Divisible by 2 and not by 3')
elif x%3 == 0:
print('Divisible by 3 and not by 2')
# Compound Boolean
if x < y and x < z:
print('x is least')
elif y< z:
print('y is least')
else:
print('z is least’)
Follow up research and thoughts to help explain computer science concepts that were touched on in the course notes.
Crash Course Computer Science
https://www.youtube.com/watch?v=tpIctyqH29Q&list=PL8dPuuaLjXtNlUrzyH5r6jN9ulIgZBpdo
Great way to introduce the basic concepts of computer science.
https://www.youtube.com/watch?v=gI-qXk7XojA&list=PL8dPuuaLjXtNlUrzyH5r6jN9ulIgZBpdo&index=4
Episodes #3 to #8 can also assist in giving a better grasp of the concepts introduced in the Basic Machine Architecture section of the course.
Compiler, Interpreter, Transpiler and Python
Compiler changes one language into another. Does not have to be high level language to low low level language.
Example: c → c compiler → machine language (can be run directly on the CPU's instruction set. Note that different CPUs have different architectures so the same compiler would generate different code on say x64 and x86. Indeed being able to compile for different architectures, a.k.a. portability, is the main reason for the existence of compiled languages)
Interpreter will read execute each line of instruction and generate the machine code for it at runtime. This saves the compilation step but adds overhead to the runtime - a tradeoff that is often worth making especially on good hardware.
Transpiler will convert source code in one language to source code in another language (e.g. TypeScript to javascript). This is useful in order to take advantage of better tooling or type safety in a different language than the platform you are developing for.
Python
<program>.py → compiler → bytecode → interpreter: Python Virtual Machine → machine language
Python bytecode will look the same on any machine, the Python Virtual Machine will be different, especially for different Operating Systems in order to create machine code instructions.
Note: that CPython (the reference implementation) does not always compile python modules (into .pyc files). Its default mode of operation is pure interpretation.
Python REPL
https://pythonprogramminglanguage.com/repl/
Is Python interpreted, or compiled, or both
https://stackoverflow.com/questions/6889747/is-python-interpreted-or-compiled-or-both
Python Virtual Machine
https://www.youtube.com/watch?v=aKoGwEPoQ5o
Useful in understanding how Python can communicate with the CPU.
Explains languages and assembly
https://www.reddit.com/r/explainlikeimfive/comments/1m1530/eli5_the_different_practical_uses_of_the_most/
“Machine Code is the language your CPU understands, and Assembly is the closest thing humans usually get to Machine code. All other languages are run through your CPU as Machine Code. Every command in Assembly translates directly into a series of 1's and 0's (unless it's a pseudo command which is similar to a function in C or Java).” Assembly is translated by an assembler for your cpu to run. The assembler is designed by the chip manufacturer/designer.
Virtual Machine compiled into "bytecode" which is the Machine Code of the virtual machine. Any device that has the virtual machine on it can run this bytecode. The virtual machine is operating system dependent.
JIT (just in time) This is a hybrid of an interpreter and a compiler. As the name suggests, it compiles the code only immediately before it is used. The compiled code used frequently is kept in the program, so that when it is used multiple times it runs significantly faster.


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Shot Types
There is a convention in the video, film and television industries which assigns names and guidelines to common types of shots, framing and picture composition. The list below briefly describes the most common shot types (click the images for more details). The exact terminology varies between production environments but the basic principles are the same. Shots are usually described in relation to a particular subject. In most of the examples below, the subject is the boy. See below for more information and related tutorials.
Extreme Wide Shot (EWS)
In the extreme wide shot, the view is so far from the subject that s/he isn't even visible. The point of this shot is to show the subject's surroundings. The EWS is often used as an "establishing shot" - the first shot of a new scene, designed to show the audience where the action is taking place.It is also useful in scenes where the action is very spread out. For example, in a war movie an extreme wide shot can show the scale of the action. The EWS is also known as an extra long shot or extreme long shot (acronym XLS).
Mid Shot (MS)
The mid shot shows some part of the subject in more detail, whilst still showing enough for the audience to feel as if they were looking at the whole subject. In fact, this is an approximation of how you would see a person "in the flesh" if you were having a casual conversation. You wouldn't be paying any attention to their lower body, so that part of the picture is unnecessary.
The MS is appropriate when the subject is speaking without too much emotion or intense concentration. It also works well when the intent is to deliver information, which is why it is frequently used by television news presenters. You will often see a story begin with a MS of the reporter (providing information), followed by closer shots of interview subjects (providing reactions and emotion).
Close Up (CU)
In the closeup shot, a certain feature or part of the subject takes up most of the frame. A close up of a person usually means a close up of their face (unless specified otherwise). Close-ups are obviously useful for showing detail and can also be used as a cut-in. A close-up of a person emphasizes their emotional state. Whereas a mid-shot or wide-shot is more appropriate for delivering facts and general information, a close-up exaggerates facial expressions which convey emotion. The viewer is drawn into the subject's personal space and shares their feelings.


A “crude but effective” rendition (in his own words) by OutaSpaceman of A Rustic Lesson, performed at the City Folk Club in Chichester and posted here for the edification of all.


(June 27, 2007)
Before BLACK, HULL and MARCUS, Circuit Judges.
PER CURIAM:
Patrick Thompson appeals his two 480-month sentences for conspiracy to
possess with intent to distribute cocaine and crack cocaine, 21 U.S.C. §§ 841(a)(1),
846, and possession with intent to distribute cocaine and crack cocaine, 21 U.S.C.
§ 841(a)(1), as well as his concurrent 240-month sentence for obstruction of
justice, 18 U.S.C. § 1512(c)(1), which were imposed upon resentencing. After
review, we affirm.
TRUE INTRODUCTION I. BACKGROUND
Acting on a tip from a confidential informant, police detained and then
arrested Thompson at a motel in Mobile, Alabama. A search of the motel room
uncovered 1.5 kilograms of cocaine and 217 grams of crack cocaine and a receipt
in Thompson’s name for a storage unit in Massachusetts. While in custody,
Thompson asked a woman named Tanya Lee to go to the storage unit in
Massachusetts to remove evidence. Lee complied and removed a suitcase that she
said contained a gun, money and crack cocaine. Thompson was tried and
convicted on charges of drug trafficking and obstruction of justice.
In a prior appeal, this Court vacated Thompson’s sentences, concluding that
the district court committed constitutional Booker 1 error when it applied a firearm
enhancement to Thompson’s sentence, pursuant to U.S.S.G. § 2D1.1(b)(1), under a
mandatory guidelines scheme. See United States v. Thompson, No. 04-14722, 171
1 United States v. Booker,
543 U.S. 220,
125 S. Ct. 738 (2005).
F. App’x 823 (11th Cir. 2006). The Court noted that on remand the district court
should determine what sentence was reasonable after considering the guidelines as
advisory and the 18 U.S.C. § 3553(a) factors, but that issues already or necessarily
decided could not be reargued.2 Id. at 831 n.5.
TRUE LEGAL FRAMEWORK Legal Framework
On remand, Thompson argued that he did not possess a firearm for purposes
of § 2D1.1(b)(1) and that such possession must be found by a jury. The district
court found by a preponderance of the evidence that Thompson possessed the gun
and applied the firearm enhancement in calculating Thompson’s advisory
guidelines range of 360 months to life imprisonment.
TRUE CLAIM Thompson's Claim
Thompson also argued for a mandatory minimum 20-year sentence, below
the advisory guidelines range, because: (1) his father had induced him to try crack
and join the drug culture when Thompson was only thirteen years old; (2) his
ailing mother and his children relied upon him; (3) his drug operation had been
limited in scope; (4) he needed opportunities for rehabilitation; (5) other drug
defendants and his co-conspirators had received lesser sentences; and (6) it would
be unjust for him to spend such a significant portion of his life in jail.
2 In his first appeal, with the exception of the Booker challenge to the firearm enhancement,
Thompson did not challenge the district court’s guidelines calculations. Thus, the district court’s
application of the guidelines, with the exception of the firearm enhancement, is the law of the case.
See United States v. Escobar-Urrego,
110 F.3d 1556, 1560-61 (11th Cir. 1997).
During the sentencing hearing, the district court commented that
Thompson’s extensive criminal history was serious. The district court noted that it
had read the letters from Thompson’s relatives requesting a lesser sentence. While
acknowledging that the letter writers were good people, the district court
questioned their conclusion that Thompson was a good person given his extensive
criminal history. The district court stated that, based on Thompson’s criminal
record, it believed Thompson was not a good person, but a bad person who had
“appeared before judge after judge after judge in [his] history.” The district court
also stated that, under the circumstances, a minimum sentence would not be
appropriate, but wanted to hear what Thompson would say before choosing an
appropriate sentence.
The district court then allowed Thompson to allocute. Thompson argued
that, although he had done some bad things, he had not committed any violent
crimes and did not believe that he deserved what amounted to almost a life
sentence. Thompson expressed remorse for his crimes and stated that he had a
good heart and believed that he could be rehabilitated. Thompson also asked for a
lesser sentence because his mother was ill.
The district court acknowledged that it had heard Thompson and had come
to the hearing with an open mind, but felt that a 480-month sentence was
appropriate after considering the advisory guidelines and the § 3553(a) factors.
The district court stated that a 480-month sentence “meets the sentencing
objectives of punishment, deterrence and incapacitation.” Thompson filed this
appeal.
TRUE DISCUSSION II. DISCUSSION
On appeal, Thompson contends that his sentence is unreasonable because the
district court failed to consider properly at sentencing Thompson’s arguments
made in mitigation.
TRUE ARGUMENT Thompson's Argument
After United States v. Booker,
543 U.S. 220,
125 S. Ct. 738 (2005), a district
court, in determining a reasonable sentence, must consider the correctly calculated
advisory guidelines range and the § 3553(a) factors. United States v. Talley,
431
F.3d 784, 786 (11th Cir. 2005).3 Although the district court must consider the § 3553(a) factors, “nothing in Booker or elsewhere requires the district court to
state on the record that it has explicitly considered each of the § 3553(a) factors or
to discuss each of the § 3553(a) factors.” United States v. Scott,
426 F.3d 1324,
3 The § 3553(a) factors include: (1) the nature and circumstances of the offense and the
history and characteristics of the defendant; (2) the need to reflect the seriousness of the offense, to
promote respect for the law, and to provide just punishment for the offense; (3) the need for
deterrence; (4) the need to protect the public; (5) the need to provide the defendant with educational
or vocational training or medical care; (6) the kinds of sentences available; (7) the sentencing
guidelines range; (8) pertinent policy statements of the Sentencing Commission; (9) the need to
avoid unwarranted sentencing disparities; and (10) the need to provide restitution to victims. See
18 U.S.C. § 3553(a).
1329 (11th Cir. 2005). Rather, an acknowledgment by the district court that it has
considered the defendant’s arguments and the § 3553(a) factors will suffice. Id. at
1329-30.
We review a defendant’s ultimate sentence for reasonableness in light of the
§ 3553(a) factors. United States v. Williams,
435 F.3d 1350, 1353 (11th Cir. 2006). “[T]he party who challenges the sentence bears the burden of establishing
that the sentence is unreasonable in the light of both [the] record and the factors in
section 3553(a).” Talley, 431 F.3d at 788.
TRUE CLAIM District Claim
During Thompson’s sentencing hearing, the district court stated that it had
considered the § 3553(a) factors and the advisory guidelines range. The district
court specifically noted Thompson’s extensive criminal history. The district court
also listened to and acknowledged all of Thompson’s arguments in mitigation of
his sentence, including the fact that his father introduced him to drugs at an early
age and that his co-defendants received lesser sentences. The district court was not
required to address each fact in mitigation or to address explicitly each § 3553(a)
factor. Given Thompson’s extensive criminal history and the seriousness of his
offenses, which included attempts to hide evidence after his arrest, we cannot say
that the district court’s 480-month sentences are unreasonable.
TRUE CONCLUSION CONCLUSION
Thompson also argues that the district court’s application of the firearm
enhancement violated his Sixth Amendment rights. This argument is foreclosed by
United States v. Chau,
426 F.3d 1318, 1323-24 (11th Cir. 2005), in which we concluded that Booker does not prohibit extra-verdict enhancements under an
advisory guidelines system. Because Thompson was resentenced under an
advisory guidelines scheme, there was no Sixth Amendment violation.
AFFIRMED.


Movies.com is your all-new ultimate destination for...that's right, everything movies. Whether you want to read up on the latest movie news, find out what's coming soon in theaters or on DVD, get movie times, or just can't think of the name of that actor in that movie and need to know now, we've got it covered. Action, sci-fi, thrillers, horror -- we love them, you love them, and we're here to help you learn more about old favorites and discover new ones. Visit our Trailers section for the latest video, our Reviews section for the critics' take, our exclusive News + Features for blogs, articles, news and more. See photos from the latest Hollywood events, and find out everything you wanted to know about your favorite stars. Access your favorite theaters quickly to buy movie tickets online (hey, Fandango, America's number one ticket seller, is our sister site, so you know it'll be easy breezy). Along with our new look and feel we are continually expanding and getting better, so make sure to keep checking back for what's new (and let us know what you'd like to see). So there you have it. With all that to do, stop reading this and go check out the site. As Alfred Hitchcock once said, "The cinema is not a slice of life, but a piece of cake."


Everyone is a moon, and has a dark side which he never shows to anybody.— Mark Twain
In the previous section, we outlined how EA is supposed to function. For many enterprises this is a somewhat idealized picture. The real Ians and Sarahs of this world often do not meet regularly, sometimes look down on each other, or in the worst case, rarely ever talk.
In our jobs as architects and consultants, we have seen quite a few enterprises from the inside over the past few years. We have seen a large firm, where the absence of an effective EA yielded shortcomings across all organizational units in touch with IT:
On the other hand, we encountered companies that, despite having a fully institutionalized EA in place, were in a state close to paralysis. The conglomerate of business, organizational, and technical dependencies had grown to a muddle that made reasonable changes impossible. As a consequence, these companies were still able to operate their existing IT assets for daily work, but they were unable to move in any direction toward the future. They had usually gone through several not-so-successful application rationalization attempts over the years.
In one such case, the only possible way to find out whether an application was not in use anymore and could therefore be actually ramped down was to literally place a red phone beneath the hosting server and then shut down the server. If no angry calls came through for a period of one month, the conclusion that no one needed the application anymore was considered safe. Everyone can draw his or her own conclusions on such an approach.
IT transformations being cancelled, a wrong portfolio of initiatives taken up, totally overambitious harmonization programs, anarchy due to ineffective governance—the list of possible IT blunders could easily be prolonged further. The reasons for such problems are usually manifold, of course, and cannot be pinned down to malfunctioning enterprise architecture alone. However, as we saw in the previous section, EA is supposed to prevent such failures—so why do they keep happening?
Let’s take a closer look at the situations in which EA is not living up to its promises, then attempt an analysis of the reasons why not.


AMAZING PEOPLE ARE MAKING AMAZING DESIGN IN A FUN ENVIRONMENT
When you work with us, you are part of a team of committed collaborators. All aspects of our software development process are intergrated interactive
and agile.
Our approach unifies the design development process and product management process to create exceptional products
We start each project by understanding your business goals, the user's needs and the product requirements.
Then we help translate them into effective and elegant solutions.
Before we sign a contract or write a line of code our team will spend the necessary time to understand your product vision.
The outcome of this scoping session ia proposal or high-level statement of work.
Based on your requirements we can provide a complete offerring or just the pieces you need.
DESIGN
DEVELOPMENT
PRODUCT MANAGEMENT
Our design practice offers a full range of services including brand strategy, interaction and visual design and user experience testing.
Throughout your project, our designers create and implement visual design and workflows, solicit user feedback and work with you to make sure what gets built is what is needed.
All engineers are fluent in the latest enterprise, mobile and web development technologies.
They collaborate with your team to write, and improve code on a daily basis, using proven practices such as test-driven development and pair programming.
All engineers are fluent in the latest enterprise, mobile and web development technologies.
They collaborate with your team to write, and improve code on a daily basis, using proven practices such as test-driven development and pair programming.
Jimmy carrey
Pyramid
Mighty scenario
Black Studio
Have a good day
Machine
Burned
Giraffe Restaurant


The flies are weak, but to fight the rats, first level up. Yu can break frozen blocks by hitting them hard enough.
Back to menu
Level Complete
You got some points and can continue
Placeholder screen here
Yes!
Loading please wait.
Win !!! @@@ 111
You have won
This game was created by pl0xz0rz in 48 hours for the Ludum Dare competition.
Your score:
Play Again?


Module screen.lua
Screen interaction and observation helpers
Functions
| screen.contains (pix) | Check if the screen contains a pixel/set of pixels |
| screen.hold (x, y, seconds) | Hold a finger on the screen |
| screen.hold_if (condition, to_hold) | Hold the screen if a pixel/set of pixels is visible |
| screen.hold_until (condition, to_hold) | Hold the screen until a pixel/set of pixels is visible |
| screen.hold_while (condition, to_hold) | Hold the screen while a pixel/set of pixels is visible |
| screen.tap (x, y, times, interval) | Tap the screen |
| screen.tap_fast (x, y, times, fingers) | Tap the screen quickly with multiple fingers. |
| screen.tap_if (condition, to_tap) | Tap the screen if a pixel/set of pixels is visible |
| screen.tap_until (condition, to_tap) | Tap the screen until a pixel/set of pixels is visible |
| screen.tap_while (condition, to_tap) | Tap the screen while a pixel/set of pixels is visible |
| screen.swipe (start_, end_, speed) | Swipe the screen. |
| screen.wait (condition) | Wait until a pixel/set of pixels is visible |
Tables
| screen.edge | Pixels on the corners of the screen |
| screen.mid | Pixels centered on various locations on the screen |
Fields
| screen.check_interval | Number of microseconds after which the screen is checked for updates |
| screen.hold_duration | Number of seconds to hold a finger on the screen by default |
| screen.tap_interval | Number of microseconds between each consecutive tap |
| screen.wait_before_action | Number of seconds to wait before each action (tap_if, tap_until, ...) |
| screen.wait_after_action | Number of seconds to wait after each action (tap_if, tap_until, ...) |
| screen.wait_before_tap | Number of seconds to wait before each tap |
| screen.wait_after_tap | Number of seconds to wait after each tap |
| screen.debug | Print detailed information about taps, swipes and checks |
| screen.width | Width of screen from getScreenResolution (not writable) |
| screen.height | Height of screen from getScreenResolution (not writable) |
Contexts
| screen.action_context | Context manager for screen actions and checking |
| screen.tap_context | Context manager for tapping |
| screen.hold_context | Context manager for holding down a finger the screen |
Listeners
| screen.before_action (func) | Register a function to be run before an action (tap_if, tap_until, ...) |
| screen.after_action (func) | Register a function to be run after an action (tap_if, tap_until, ...) |
| screen.before_check (func) | Register a function to be run before the screen is checked for updates |
| screen.after_check (func) | Register a function to be run after the screen is checked for updates |
| screen.before_tap (func) | Register a function to be run before a finger touches the screen |
| screen.after_tap (func) | Register a function to be run after a finger touches the screen |
| screen.on_nth_check (n, func) | Register a function to be run after a number of consecutive screen checks |
Functions
- screen.contains (pix)
-
Check if the screen contains a pixel/set of pixels
Parameters:
- pix pixel.Pixel or pixel.Pixels Pixel(s) instance to check position(s) of
Returns:
-
boolean
does the screen contain the pixel(s)
- screen.hold (x, y, seconds)
-
Hold a finger on the screen
Parameters:
- x number or pixel.Pixel x-position/pixel(s) to hold
- y int (optional) y position to hold
- seconds number (optional) Number of seconds to hold finger on the screen (default: 0.5s)
Returns:
-
screen
screen for method chaining
Usage:
-- hold x=10, y=10 for 0.5 seconds screen.hold(10, 10, 0.5) -- or screen.hold(Pixel(10, 10), 0.5)
- screen.hold_if (condition, to_hold)
-
Hold the screen if a pixel/set of pixels is visible
Parameters:
- condition pixel.Pixel, pixel.Pixels or func condition to hold if
- to_hold pixel.Pixel (optional) pixel to hold
Returns:
-
screen
screen for method chaining
See also:
- screen.hold_until (condition, to_hold)
-
Hold the screen until a pixel/set of pixels is visible
Parameters:
- condition pixel.Pixel, pixel.Pixels or func condition to hold until
- to_hold pixel.Pixel (optional) pixel to hold
Returns:
-
screen
screen for method chaining
See also:
- screen.hold_while (condition, to_hold)
-
Hold the screen while a pixel/set of pixels is visible
Parameters:
- condition pixel.Pixel, pixel.Pixels or func condition to hold while
- to_hold pixel.Pixel (optional) pixel to hold
Returns:
-
screen
screen for method chaining
See also:
- screen.tap (x, y, times, interval)
-
Tap the screen
Parameters:
- x pixel.Pixel or int x-position or pixel to tap
- y int (optional) y-position to tap
- times int (optional) number of times to tap
- interval number (optional) interval (in seconds) between taps
Returns:
-
screen
screen for method chaining
Usage:
-- tap x=10, y=10 twice and wait 1 second between taps screen.tap(10, 10, 2, 1) -- or screen.tap(Pixel(10, 10), 2, 1)
- screen.tap_fast (x, y, times, fingers)
-
Tap the screen quickly with multiple fingers.
With multitouch, more fingers mean more taps/sec.
Tap speed: approx. 50 taps/sec per fingerParameters:
- x number, pixel.Pixel or table x-position/pixel(s) to tap
- y int (optional) y position to tap (not required if x is not a number)
- times
int, pixel.Pixel or func
(optional)
- Number of taps per finger (total taps: n * fingers)
- Pixel that when visible stops tapping
- Function that returns true when tapping should stop
- fingers int (optional) number of fingers to use
Returns:
-
screen
screen for method chaining
Usage:
-- tap x=10, y=10 twice with 2 fingers (4 total taps) screen.tap_fast(10, 10, 2, 2) -- or screen.tap_fast(Pixel(10, 10), 2, 2) -- tap each position with a unique finger twice (4 total taps) screen.tap_fast({{x=10, y=10}, {x=20, y=20}}, 2) -- or screen.tap_fast(Pixels{{10, 10}, {20, 20}}, 2) -- tap x=10, y=10 with 2 fingers until x=20, y=20 is red local check_pixel = Pixel(20, 20, colors.red) screen.tap_fast(10, 10, check_pixel, 2) -- or screen.tap_fast(Pixel(10, 10), check_pixel, 2) -- tap x=10, y=10 with 2 fingers a random number of times local check_func = function() return math.random() < 0.3 end screen.tap_fast(10, 10, check_func, 2) -- or screen.tap_fast(Pixel(10, 10), check_func, 2)
- screen.tap_if (condition, to_tap)
-
Tap the screen if a pixel/set of pixels is visible
Parameters:
- condition pixel.Pixel, pixel.Pixels or func pixel(s) to search for or a function that returns true if tapping is required
- to_tap pixel.Pixel (optional) pixel to tap
Returns:
-
screen
screen for method chaining
Usage:
-- tap x=10, y=10 if x=10, y=10 is red screen.tap_if(Pixel(10, 10, colors.red)) -- tap x=50, y=50 if x=10, y=10 is red screen.tap_if(Pixel(10, 10, colors.red), Pixel(50, 50)) -- tap x=50, y=50 if x=10, y=10 is red AND x=20, y=20 is red screen.tap_if(Pixels{{10, 10, colors.red}, {20, 20, colors.red}}, Pixel(50, 50)) -- tap x=50, y=50 if function returns true function needs_tap() return true end screen.tap_if(needs_tap, Pixel(50, 50))
- screen.tap_until (condition, to_tap)
-
Tap the screen until a pixel/set of pixels is visible
Parameters:
- condition pixel.Pixel, pixel.Pixels or func condition to tap until
- to_tap pixel.Pixel (optional) pixel to tap
Returns:
-
screen
screen for method chaining
See also:
- screen.tap_while (condition, to_tap)
-
Tap the screen while a pixel/set of pixels is visible
Parameters:
- condition pixel.Pixel, pixel.Pixels or func condition to tap while
- to_tap pixel.Pixel (optional) pixel to tap
Returns:
-
screen
screen for method chaining
See also:
- screen.swipe (start_, end_, speed)
-
Swipe the screen.
Possible string arguments are:- left, right, top, bottom, center
- top_left, top_right, bottom_left, bottom_right
Parameters:
- start_ pixel.Pixel or string pixel at which to start the swipe
- end_ pixel.Pixel or string pixel at which to end the swipe
- speed int swipe speed (1-10)
Returns:
-
screen
screen for method chaining
- screen.wait (condition)
-
Wait until a pixel/set of pixels is visible
Parameters:
- condition pixel.Pixel, pixel.Pixels or func condition to wait for
Returns:
-
screen
screen for method chaining
See also:
Tables
- screen.edge
-
Pixels on the corners of the screen
Fields:
- top_left x = 0, y = 0
- top_right x = screen.width, y = 0
- bottom_left x = 0, y = screen.height
- bottom_right x = screen.width, y = screen.height
- screen.mid
-
Pixels centered on various locations on the screen
Fields:
- left x = 0, y = screen.height / 2
- right x = screen.width, y = screen.height / 2
- top x = screen.width / 2, y = 0
- bottom x = screen.width / 2, y = screen.height
- center x = screen.width / 2, y = screen.height / 2
Fields
- screen.check_interval
- Number of microseconds after which the screen is checked for updates
- screen.hold_duration
- Number of seconds to hold a finger on the screen by default
- screen.tap_interval
- Number of microseconds between each consecutive tap
- screen.wait_before_action
- Number of seconds to wait before each action (tap_if, tap_until, ...)
- screen.wait_after_action
- Number of seconds to wait after each action (tap_if, tap_until, ...)
- screen.wait_before_tap
- Number of seconds to wait before each tap
- screen.wait_after_tap
- Number of seconds to wait after each tap
- screen.debug
- Print detailed information about taps, swipes and checks
- screen.width
- Width of screen from getScreenResolution (not writable)
- screen.height
- Height of screen from getScreenResolution (not writable)
Contexts
- screen.action_context
-
Context manager for screen actions and checking
- condition
- screen.tap_context
- Context manager for tapping
- screen.hold_context
-
Context manager for holding down a finger the screen
- x int or pixel.Pixel
- y int (optional)
Listeners
- screen.before_action (func)
-
Register a function to be run before an action (tap_if, tap_until, ...)
Parameters:
- func func function to run before action (no arguments)
- screen.after_action (func)
-
Register a function to be run after an action (tap_if, tap_until, ...)
Parameters:
- func func function to run after action (no arguments)
- screen.before_check (func)
-
Register a function to be run before the screen is checked for updates
Parameters:
- func func function to run before check (no arguments)
- screen.after_check (func)
-
Register a function to be run after the screen is checked for updates
Parameters:
- func func function to run after check (no arguments)
- screen.before_tap (func)
-
Register a function to be run before a finger touches the screen
Parameters:
- func func function to run before tap (no arguments)
- screen.after_tap (func)
-
Register a function to be run after a finger touches the screen
Parameters:
- func func function to run after tap (no arguments)
- screen.on_nth_check (n, func)
-
Register a function to be run after a number of consecutive screen checks
Parameters:
- n int or table number of checks to execute before calling function
- func func function to run after n consecutive checks


This document discusses how to perform different kinds of job accounting with IPP and how to address privacy and consent issues associated with accounting information.
This Best Practice document provides implementation guidance on how to best integrate various authentication mechanisms used over IPP's HTTP and HTTPS transports into IPP protocol exchanges when printer access or print feature policy requires authorization.
This document defines a "safe" subset of G-code for use in 3D printing with IPP along with the capabilities and parameters needed to allow a client to generate G-code compatible with the printer.
For interoperability between job ticket-based printing systems, this Best Practices document defines a recommended mapping from XML objects and attributes in the CIP4 Job Definition Format [CIP4JDF] to XML elements in the PWG Print Job Ticket and Associated Capabilities [PWG5108.7].
This document describes the PWG Semantic Model Print3D service schema for embedded Job Tickets. The schema is based on the IPP 3D Printing Extensions v1.0 (3D) and suitable for data exchange and embedding within common 3D file formats such as 3MF and 3D PDF documents so that user intent is preserved regardless of the transport or workflow used.
In traditional printing environments, clients rely on font downloads when they are not sure a given character is embedded in the printer. As printing moves to small clients, downloading may not be an option and clients have a need to know what characters are available in a given device.
There are many published named character repertoires, and a small client will not know about them all.
[RS] describes the syntax and semantics for the Semantic Model element "RepertoireSupported". The current document describes Best Practices for the use of that element, in order to maximize interoperability between client devices and printers.
The reader of this document should be familiar with the terminology and concepts in [RS].
The Multifunction Device Service Model represents an abstraction of the characteristics, capabilities, and interfaces of each of the imaging services potentially provided by a Multifunction Device (MFD), as they are accessible to an outside client. The effort to model these services as a group and the associated effort in representing these models in a MFD Semantic Model is intended to highlight the commonality in the elements of these services while preserving the distinct functions of each service. The ultimate objective is to exploit the commonality to provide a consistent interface to services that have evolved in different environments and under different circumstances, but now are typically executed in the same device and used in the same environment.
This document provides the rationale and summarizes the requirements for the modeling activity.
The Print Service Interface is the set of interfaces and methods that enable a Client such as a Printer, a Mobile Device, Web Portal, or a service to set up and invoke a print job from a Print Service. The Print Service may be used to resolve and access the information to be printed.
This document captures the requirements for IPP Fax, both the transport and the document format. This document assumes that the reader is familiar with IPP 1.1.
Additional information about our program with the IEEE-ISTO organization can be found in the following material:


class CharactersFavoriteViewModel : ViewModel
View model responsible for preparing and managing the data for CharactersFavoriteFragment.
See Also
<init> |
View model responsible for preparing and managing the data for CharactersFavoriteFragment. CharactersFavoriteViewModel(characterFavoriteRepository: CharacterFavoriteRepository) |
characterFavoriteRepository |
val characterFavoriteRepository: CharacterFavoriteRepository |
data |
val data: LiveData<List<CharacterFavorite>> |
state |
val state: LiveData<CharactersFavoriteViewState!> |
removeFavoriteCharacter |
Remove the selected favorite character from database in case if exist. fun removeFavoriteCharacter(character: CharacterFavorite): Unit |


Parth Gada
Developer
Portfolio
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Contact
This My project in which I have shown 3D earth rotation using mask tool in Adobe Flash Professional CS6...
DOWNLOAD THE PROJECT


{% extends "_page.html" %}
{% block intro %}
Branching in the three languages.
{% endblock %}
{% block description %}
Basic if-then-else
branches in all three languages are essentially the same. Where
C++ and Java do not require { }
if there is only a single expression after the condition,
Rust always requires a code block.
Rust introduces pattern matching with the match
keyword. It can be used much like
switch
in C++ or Java as shown.
Rust also introduces if let
expressions that allow you to set a variable based upon
a condition being true or false.
{% endblock %}


In modern times,the term "barber" is used both as a and to refer to hairdressers who specialize in hair. Historically, all hairdressers were considered barbers. In the 20th century, the profession of cosmetology branched off form barbering, and today hairdressers may be licensed.
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Ad neque ullam ratione voluptate tempore adipisci!
SNP Area Sakchi Jamshedpur
<EMAIL_ADDRESS>+91<PHONE_NUMBER>


Increasing Online Crowdfunding for Public and Corporates
In Indian market around 84% of donors donated financially, but less than 10% donations were done online. This solution aims to increase online donations in India, by supporting new donation system and corporate CSR donations through a digital paltform.


{{define "hostmenu"}}
This is a trivia game. Author: Jared Prince
Bomber Boys. Author: Connor Brooks
This is a test application to makes sure the web sockets are working. It's just a chat room.
This is a racing game.
This is a simple shooting game that can play up to four players. Author: Mathew Clark
This is a test application to makes sure the web sockets are working. It's just a chat room.


One of many JavaScript HTML methods is getElementById().
This example uses the method to "find" an HTML element (with id="demo1") and changes the element content (innerHTML) to "Hello JavaScript!":
In this example JavaScript changes the value of the src (source) attribute of an < img > tag:
Changing the style of an HTML element, is a variant of changing an HTML attribute:
JavaScript and Java are completely different languages, both in concept and design.
JavaScript was invented by Brendan Eich in 1995, and became an ECMA standard in 1997.
ECMA-262 is the official name of the standard. ECMAScript is the official name of the language.


Walkthrough with test data¶
The following walkthrough illustrates how to use SCOUT on a small organoid dataset using Docker. Docker provides a cross-platform way to run SCOUT with minimal setup. The test dataset contains stitched (whole-organoid) syto16, SOX2, and TBR1 images from a portion of a d35 cerebral organoid cultured similar to the Lancaster protocol (described in the Methods section).
Before you start¶
This walkthrough has been optimized on Ubuntu Linux, so other platforms may require slight changes to the commands below. Windows and Mac users may need to make the following adjustments to the walkthrough commands:
- Remove sudo from all commands
- If Docker is available to non-root users, then sudo is not needed on Mac. On Windows, sudo is not available.
- Replace $(pwd) with a full path to scout-data/test
- This may work on Mac, but using this subshell syntax on Windows Powershell
would not work. This should be replaced with
C:\path\to\scout-data\test
.
- This may work on Mac, but using this subshell syntax on Windows Powershell
would not work. This should be replaced with
- Remove the line breaks
- The backslash syntax for line breaks used in this walkthrough may not work on Windows Powershell. Instead, you can enter the command using a single line.
- Make sure Docker has permission to mount the drive with scout-data/
- On Windows, Docker may only have permissions to access the C: drive by default. If scout-data is placed on another drive, then you should give Docker proper permissions by accessing the Docker settings through the Docker tray icon.
Docker setup¶
The easiest way to ensure a similar runtime environment for SCOUT on Windows,
Mac, and Linux is by using the chunglabmit/scout
Docker image hosted on
Dockerhub
. First, you will need to install “Docker Desktop” (which is
free) by following the platform-specific instructions at
https://docs.docker.com/get-docker/
Once installed, you will need to download the pre-built Docker image for SCOUT.
Open a terminal and use docker pull
to download it:
sudo docker pull chunglabmit/scout
This image may be moved to chunglabmit/scout
in the future. Note that
the sudo keyword may not be needed on your platform for Docker commands.
Docker Desktop on Windows and Mac may restrict the amount of CPU and RAM
resources that each container can use by default. You can adjust resource
allocation by accessing the Docker settings through the Docker tray icon. You
may also need to allow Docker access to other drives (D:, E:, etc) if the
scout-data
directory is placed on a different drive. Lastly, if you want
to run Jupyter notebooks with the SCOUT Docker image, you may need to follow
some platform-specific networking setup (port forwarding, routing, etc), which
you can read more about at
https://docs.docker.com/docker-for-windows/networking/ or
https://docs.docker.com/docker-for-mac/networking/ for Windows and Mac,
respectively.
Download test data¶
After installing the SCOUT Docker image, a small test dataset (~3 GB) can be
downloaded from Dropbox. The test dataset is distributed as an archive called
scout-data.zip
, which contains two subfolders: test
and
results
. The test
folder contains all the data needed to start
the SCOUT analysis from the begining, such as raw stitched images from a
microscope. The results
folder contains all the intermediate results
expected from completing the following walkthrough. This data is included for
completeness and verification purposes and is not required to actually run SCOUT
on newly acquired data.
First, download the test dataset from
https://www.dropbox.com/s/j37p5m7q7qk1mp1/scout-data.zip?dl=0 and unzip it. Make
note of the resulting scout-data/test
and scout-data/results
folders.
Open a terminal (or Powershell on Windows) and move into the
scout-data/test
directory:
cd path/to/scout-data/test # Replace with actual path
This folder will be mounted into the SCOUT Docker container using the -v
...:/scout/data
argument to docker run
throughout the following
walkthrough.
Preprocessing¶
The first step in the SCOUT pipeline is to estimate the overall image histograms for each channel.
sudo docker run -v "$(pwd):/scout/data" chunglabmit/scout preprocess histogram \
data/dataset/color_0/ data/dataset/color0_hist.csv -s 1 -v
sudo docker run -v "$(pwd):/scout/data" chunglabmit/scout preprocess histogram \
data/dataset/color_1/ data/dataset/color1_hist.csv -s 1 -v
sudo docker run -v "$(pwd):/scout/data" chunglabmit/scout preprocess histogram \
data/dataset/color_2/ data/dataset/color2_hist.csv -s 1 -v
This will create 3 CSV files with histograms for each channel. Using these histograms, we can normalize the images to the range [0, 1] and apply a background threshold.
sudo docker run -v "$(pwd):/scout/data" chunglabmit/scout preprocess rescale \
data/dataset/color_0/ data/dataset/color0_hist.csv data/dataset/color0_rescaled \
-t 120 -p 99.7 -v
sudo docker run -v "$(pwd):/scout/data" chunglabmit/scout preprocess rescale \
data/dataset/color_1/ data/dataset/color1_hist.csv data/dataset/color1_rescaled \
-t 100 -p 99.7 -v
sudo docker run -v "$(pwd):/scout/data" chunglabmit/scout preprocess rescale \
data/dataset/color_2/ data/dataset/color2_hist.csv data/dataset/color2_rescaled \
-t 100 -p 99.7 -v
This will create three new folders containing normalized TIFF images for each channel. In order to more easily work with volumetric image data, we the convert the 2D TIFF stacks into 3D Zarr arrays. Each Zarr array is a nested folder of chunk compressed voxel data. By default, the chunk size is (64, 64, 64).
sudo docker run -v "$(pwd):/scout/data" chunglabmit/scout preprocess convert \
data/dataset/color0_rescaled data/dataset/syto.zarr -v
sudo docker run -v "$(pwd):/scout/data" chunglabmit/scout preprocess convert \
data/dataset/color1_rescaled data/dataset/sox2.zarr -v
sudo docker run -v "$(pwd):/scout/data" chunglabmit/scout preprocess convert \
data/dataset/color2_rescaled data/dataset/tbr1.zarr -v
This will create three new *.zarr
folders, one for each channel.
Nuclei Detection¶
Once we have the syto16.zarr array, we can detect nuclei centroids using parallel processing on each image chunk. Note that the current Docker image does not support GPU acceleration, and this step would be much faster by installing from source on a machine with a GPU.
sudo docker run -v "$(pwd):/scout/data" chunglabmit/scout nuclei detect data/dataset/syto.zarr \
data/dataset/nuclei_probability.zarr data/dataset/centroids.npy \
--voxel-size data/dataset/voxel_size.csv \
--output-um data/dataset/centroids_um.npy -n 2 -v
This will create a new Zarr array, nuclei_probability.zarr
, as well as
two numpy arrays with nuclei centroid coordinates. Given these nuclei centroids,
we can perform a seeded watershed segmentation of the nuclei probability array
to obtain the shape of each detected nucleus. This operation is done with some
overlap between adjacent chunks to avoid artifacts at the boundaries between
adjacent chunks in the watershed lines.
sudo docker run -v "$(pwd):/scout/data" chunglabmit/scout nuclei segment \
data/dataset/nuclei_probability.zarr data/dataset/centroids.npy \
data/dataset/nuclei_foreground.zarr data/dataset/nuclei_binary.zarr -n 2 -v
This will create two new Zarr arrays, nuclei_foreground.zarr
and
nuclei_binary.zarr
. Given this binary nuclei segmentation, we can
compute morphological features for each nucleus. The resulting morphological
features are stored in a CSV.
sudo docker run -v "$(pwd):/scout/data" chunglabmit/scout nuclei morphology \
data/dataset/nuclei_binary.zarr data/dataset/centroids.npy \
data/dataset/nuclei_morphologies.csv -v
This will create a CSV file containing multiple morphological measurements for each segmented nucleus. Finally, we can sample the fluorescence in the other channels (SOX2 and TBR1 in this case) at each nucleus centroid.
sudo docker run -v "$(pwd):/scout/data" chunglabmit/scout nuclei fluorescence \
data/dataset/centroids.npy data/dataset/nuclei_fluorescence/ \
data/dataset/sox2.zarr/ data/dataset/tbr1.zarr/ -v
This will create a folder, nuclei_fluorescence/
, that contains numpy
arrays with the fluorescence mean and standard deviation for each detected
nucleus. The resulting mean fluorescence intensities (MFIs) are useful for
gating cells into different cell types based on protein expression.
sudo docker run -v "$(pwd):/scout/data" chunglabmit/scout nuclei gate \
data/dataset/nuclei_fluorescence/nuclei_mfis.npy \
data/dataset/nuclei_gating.npy 0.35 0.25 -v
This will create a numpy array, nuclei_gating.npy
, containing binary
cell type labels for each nucleus. In this case, high SOX2 expression is used to
identify neural progenitors and high TBR1 expression is used to identify
post-motitic neurons. Cells that have low SOX2 and TBR1 expression are called
“double negative” (DN). Cell types can be named in order using the following
command:
sudo docker run -v "$(pwd):/scout/data" chunglabmit/scout nuclei name \
sox2 tbr1 dn -o data/dataset/celltype_names.csv -v
This will create a CSV file with names for each cell type.
Microenvironment Analysis¶
(Note that this was formerly called niche analysis)
Given nuclei centroids and cell type labels, we can further describe the microenvironment around each cell. To do this, we compute the proximity to each of the non-DN cell types, which is described in the Method section.
sudo docker run -v "$(pwd):/scout/data" chunglabmit/scout niche proximity \
data/dataset/centroids_um.npy data/dataset/nuclei_gating.npy \
data/dataset/niche_proximities.npy -r 25 25 -k 2 -v
This will create a numpy array with proximities to each cell type. These spatial proximities are attibutes of each cell describing the local environment. The next step is to use these proximity values to further gate cells into subpopulations based on their spatial context.
sudo docker run -v "$(pwd):/scout/data" chunglabmit/scout niche gate \
data/dataset/niche_proximities.npy data/dataset/niche_labels.npy \
--low 0.2 0.2 --high 0.66 0.63 -v
This will create a numpy array containing microenvironment labels for each nucleus. Here, we defined a low and high` proximity threshold for SOX2 and TBR1 separately. This results in 7 subpopulations (3 high, 3 mid, and 1 low), which can be named using the following command:
sudo docker run -v "$(pwd):/scout/data" chunglabmit/scout niche name \
DN SOX2 TBR1 DP MidTBR1 MidSOX2 MidInter -o data/dataset/niche_names.csv -v
This will create a CSV file with names for each microenvironment.
Ventricle Segmentation¶
Next, we turn to ventricle segmentation, which is required to calculate radial profiles in a cytoarchitecture analysis. The pretrained U-Net model assumes that each input image is of nuclear staining at 4 um pixel resoltion. We, therefore, resize the normalized nuclei images and stack them into a single 3D TIFF.
sudo docker run -v "$(pwd):/scout/data" chunglabmit/scout segment downsample \
data/dataset/color0_rescaled/ data/dataset/syto_down6x 6 6 -v -t
sudo docker run -v "$(pwd):/scout/data" chunglabmit/scout segment stack \
data/dataset/syto_down6x/ data/dataset/syto_down6x.tif -v
This will create a new folder and 3D TIFF with 6x downsampled (in x and y) images. The 3D TIFF can be passed to the U-Net model for ventricle segmentation, which occurs one 2D slide at a time.
sudo docker run -v "$(pwd):/scout/data" chunglabmit/scout segment ventricle \
data/dataset/syto_down6x.tif models/unet_weights3_zika.h5 \
data/dataset/segment_ventricles.tif -t 0.5 -v
This will result in a 3D TIFF, segment_ventricles.tif
, containing
a binary segmentation of all ventricles. We also need a foreground segmentation
to determine the overall organoid size and shape. A foreground segmentation can
be computed by thresholding.
sudo docker run -v "$(pwd):/scout/data" chunglabmit/scout segment foreground \
data/dataset/syto_down6x.tif data/dataset/segment_foreground.tif -v -t 0.02 -g 8 4 4
This will create another 3D TIFF, segment_foreground.tif
, containing a
binary segmentation of the whole organoid.
Cytoarchitecture Analysis¶
Given the ventricle segmentation, nuclei centroids, and cell types labels, radial profiles from each ventricle can be computed. First, the ventricle segmentation is turned into a polygon mesh (using the marching cubes algorithm).
sudo docker run -v "$(pwd):/scout/data" chunglabmit/scout cyto mesh \
data/dataset/segment_ventricles.tif data/dataset/voxel_size.csv \
data/dataset/mesh_ventricles.pkl -d 1 6 6 -g 2 -s 3 -v
This will generate a pickled Python dictionary, mesh_ventricles.pkl
,
containing mesh verticies, faces, and normals. Then, normal vectors from this
mesh are used to compute radial profiles for each cell type.
sudo docker run -v "$(pwd):/scout/data" chunglabmit/scout cyto profiles \
data/dataset/mesh_ventricles.pkl data/dataset/centroids_um.npy \
data/dataset/nuclei_gating.npy data/dataset/cyto_profiles.npy -v
This will create a numpy array, cyto_profiles.npy
, containing radial
profiles of cell counts. Finally, we randomly sample from the large number of
radial profiles to be able to cluster radial profiles across many organoids.
This step isn’t required in this case, but we include it for completeness.
sudo docker run -v "$(pwd):/scout/data" chunglabmit/scout cyto sample 5000 \
data/dataset/cyto_sample_index.npy -i data/dataset/cyto_profiles.npy \
-o data/dataset/cyto_profiles_sample.npy -v
This will create numpy arrays containing a random sample of radial profiles and
the corresponding index from the original array of profiles. Then, we would
compute clusters of cytoarchitectures across all organoids by combining sampled
profiles and using the determine cyto clusters.ipynb
notebook. You can
access and use these notebooks by starting a Jupyter server within the SCOUT
Docker container:
sudo docker run -it -v "$(pwd):/scout/data" -p 8888:8888 chunglabmit/scout jupyter --ip <IP_ADDRESS>
Note that the positions of the -p and –ip arguments are important because
-p is for Docker port forwarding and –ip is for the Jupyter server. You can
navigate to localhost:8888
in your browser and copy the access token
printed to the terminal as /?token={copy-this-text}
.
For the sake of brevity, we simply provide precomputed profiles, labels, and a fit UMAP model from our d35/d60 comparison. With these, we can classify the cytoarchitecture of all radial profiles.
sudo docker run -v "$(pwd):/scout/data" chunglabmit/scout cyto classify \
data/cyto_profiles_combined.npy data/cyto_labels_combined.npy \
data/dataset/cyto_profiles.npy data/cyto_labels.npy -v \
--umap data/model_d35_d60.umap
This will create a numpy array, cyto_labels.npy
, containing
cytoarchitecture labels for each radial profile. Note that because the test
dataset is not a full 3D dataset, the resulting radial profiles and
cytoarchitecture labels obtained here may have some artifacts due to empty
profiles near the top and bottom of the test volume.
We can provide appropriate names for each cytoarchitecture cluster after
inspecting each cluster in the determine cyto clusters.ipynb
notebook.
sudo docker run -v "$(pwd):/scout/data" chunglabmit/scout cyto name \
TBR1-LowDN TBR1-HighDN Surface Artifacts DN Adjacent -o data/cyto_names.csv -v
This will create a CSV with names for each cytoarchitecture class.
Multiscale Analysis¶
All of the intermediate results above are used to compute multiscale features for each dataset in an analysis. Note that the following command assumes that the intermediate results are named as shown in the previous steps.
sudo docker run -v "$(pwd):/scout/data" chunglabmit/scout multiscale features data/ \
-d 1 6 6 -g 2 -v
This command will create an Excel file called organoid_features.xlsx
,
which is the final step in the walkthrough. Details of how to perform
statistical analysis of multiple organoids can be found in the full SCOUT
tutorial.
Expected results¶
The final organoid_features.xlsx
file can be inspected in Excel. For
convenience, we highlight some expected results in
organoid_features.xlsx
here:
- TBR1 nbrhd, tbr count: 3967
- SOX2 nbrhd, sox2 count: 12670
- ventricle equivalent diameter mean (um): 48.874
- organoid volume (mm3): 0.06565 (not a full organoid dataset)
All of the intermediate results can be compared to the results in
scout-data/results
.


Ember Spirit
Tips
- The capture radius on Searing Chains is fairly large, but that's usually a disadvantage since it means you'll
probably catch creeps when you want to catch heroes. When possible, hold on to the Chains until you can
position yourself away from worthless enemy units rather than
complaining about relying on RNG.
- While Sleighted, projectiles will follow you around as you bounce from unit to unit. It's not a
disjoint, but you can use this invulnerability period to 'absorb' projectiles without taking any damage
or stun.
- You can use items during Sleight of Fist. This includes TP scrolls. Just be sure that your Sleight ends
before the TP channel finishes, otherwise you'll be brought back to your Sleight Remnant.
- You can use spells during Sleight of Fist. Yes, Chains is a given, but casting and activating Remnants
during Sleight is also important. You can cast Remnants mid-Sleight to close distances quicker when
chasing and activating them at the tail end of a Sleight will make you extremely difficult to lock down
when being chased.
- The hardest part of executing the Sleight+Chain combo is knowing when Sleight will actually go off.
Don't get too excited and prematurely cast Chains first. Just hit the hotkey as soon as you can react to
Ember going into Sleight and you'll probably land it.
- When manfighting early on with a low level Sleight, keep the Sleight in your pocket until the end of the
fight. With good timing, you can use the banishment phase of the Sleight to mask the backswing of one of
your attacks while tripping up heroes who are mashing right click on you, stalling some potential auto
attacks.
- Your Remnants travel at 2.5x your move speed when cast. This means that you should avoid casting fresh
Remnants if you're trying to escape when you're slowed.
- This also applies to weird 'leash' spells like Disruptor's Kinetic Field and Slark's Pounce. If you walk
to the very limit of the leash then your move speed is considered zero and your Remnant won't go
anywhere.
- A way to get around slow Remnants is to put out a Remnant while in Sleight of Fist. A Remnant sent out
during a Sleight will travel at normal speeds.
- You can pick up items (such as Aegis) or runes while traveling to a Remnant.
- The explosion damage radius of an activated Remnant is actually larger than the Searing Chains capture
radius. If you're about to gank someone, cast a Remnant to the side of them that has the fewest enemy
units, rather than directly on top of them.
- Use Remnants for mobility purposes as well as damage. Toss one out before teleporting back to base so
you can quickly get back out on the lane. Toss one out before dying so you can get back out on the map
as soon as you respawn (or buyback).
- Remnants have a 45 seconds duration but a 35 second recharge time. This means that you have a 10 second
window to use 4 Remnants in a gank if you have one pre-casted. This is mainly useful for mid lane
matchups.
- I highly recommend enabling the range finder option in the game settings when playing Ember. It becomes
far easier to tell when Sleight of Fist will go off and you'll be able to exploit the full Remnant cast
range during ganks and escapes.
Counters
- Whenever Ember uses Sleight, he leaves a temporary Remnant behind during the cast. This is where he'll
always return once Sleight finishes. Use this as a beacon to set up stuns like Mirana's Arrow or
Jakiro's Ice Path or just start mashing your silence/hex/disable on the temporary remnant so you can
catch him as soon as he returns.
- Ember hates silences, but he also really hates slows. The travel speed on Remnant casts scale off of
Ember's own move speed, so heroes with strong slows can cut Ember's aggression significantly since he'll
need to pre-cast an escape Remnant before going in.
- You can click on Ember and look at his buffs to see if he has a Remnant out, and if so, how much time is
left on it (by viewing the buff timer). You can also see how many Remnant charges he has available. This is useful when ganking him since you can try to coordinate your ganks when his escape Remnant is about to time out.
- Ember consumes all currently spawned Remnants when he activates one. If an Ember just Remnant'd in on a
teammate, it can be worth following up and chasing to force him to cast an escape Remnant.
- Sleight of Fist gets affected by evasion, disarms, and damage block.
- You can purge off Flame Guard. This makes Eul's a solid item to have against Ember.
- Levels 1 and 2 of Flame Guard won't cancel Salves.


Contains a list of the levels in DF.
| LEVELS 14
This is the number of entries in JEDI.LVL
| Secret Base, SECBASE,
\ L:\LEVELS\SECBASE\;L:\LEVELS\;L:\LEVELS\BM-GEN\;
\ L:\LEVELS\PALETTES\;L:\LEVELS\BM-IMPER\;
\ L:\LEVELS\HOLDER\
| ...
This is the definition for a level. The first entry is the description (eg. "Secret Base") to be shown in the mission menu in DF.
The second entry is the name of the level (e.g. SECBASE). It will be applied in the following areas:
levname.LEV
levname.O
levname.INF
levname.GOL
levname.PAL
levname.CMP
DELTlevname
ANIMlevname
LEVELNAME entries in headers of LEV, O and INF files.
LEV entry in BRIEFING.LST
To successfully change the name of a level, its name must be changed in all of these as well as in JEDI.LVL.
The paths stored are unused, and were most probably referring to the LucasArts file server at development time.
The remainder of this file contains the names of all the levels in Dark Forces.


A basic 2D WebGL animation example
This examples follows the
A basic 2D WebGL animation example
@MDN
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Open API
Webhook
Welcome
for developers
Build apps that bring your ideas to life, and help your team do better work faster.
Open API Documentation
Webhook Documentation


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This theory is a rhetoric, in that it teaches the mastery of contextual interplay by means of a knowledge of criteria of understanding other than those of simple univocity upon which logic is built. Such attention to criteria is a descendant of the ancient reflection on ‘virtues of lexis’; but those older criteria – precision, liveliness, expressiveness, clarity, beauty – remain locked in to the superstition concerning proper meaning.
shouldn’t these criteria still apply today?
we can say that the metaphor holds together within one simple meaning two different missing parts of different contexts of this meaning
the importance of the context, not just the one provided by the reader, but the one in which the words themselves are embedded (lexical field)
polarities (tensions): - event / meaning - sense / reference - individual / universal


Feel free to flag us down with any questions you may have!
mkdir nodebots
cd nodebots
npm install johnny-five
nodebots
directorytest.js
var five = require("johnny-five");
var board = new five.Board();
board.on("ready", function() {
var led = new five.Led(13);
led.blink(500);
});
node test.js
File > Examples > Firmata > StandardFirmataPlus
Tools > Board > Arduino/Genuino Uno
Tools > Port > <your Arduino>
var five = require("johnny-five");
var board = new five.Board();
board.on("ready", function() {
var led = new five.Led(11);
// "blink" the led in 500ms on-off phase periods
led.blink(500);
});
node blinky.js
var five = require("johnny-five");
var board = new five.Board();
board.on("ready", function() {
var led = new five.Led(11);
// "blink" the led in 3000ms on-off phase periods
led.blink(3000);
});
node blinky.js
var five = require("johnny-five");
var board = new five.Board();
board.on("ready", function() {
var led = new five.Led(11);
this.repl.inject({
led: led
});
});
node led-repl.js
> led.on();
> led.off();
> led.blink();
> led.stop();
> led.pulse();
The reason we're able to access the led
object in the REPL is because of this bit of code in the previous example. It exposes the led object to our REPL session.
this.repl.inject({
led: led
});
Breadboards allow us to quickly wire components together for prototyping
Now run one of your programs from before and make sure the LED still blinks
Now that you've got the basics of LEDs, you can either move on to the next component, or work on some LED challenges
Try to solve them yourself before looking at the solution!
Press ↓ to scroll through the following challenges (and potential solutions)
Have 2 (or more) lights alternate blinking
Potential Multiple Lights Solution - Hardware
Potential Multiple Lights Solution - Code
var five = require("johnny-five");
var board = new five.Board();
board.on("ready", function() {
var led1 = new five.Led(10);
var led2 = new five.Led(11);
var flag = false;
setInterval(function() {
if (flag) {
led1.on();
led2.off();
} else {
led1.off();
led2.on();
}
flag = !flag;
}, 500);
});
Make an LED (or multiple LEDs) go through different settings like some holiday lights do. It should change the setting every few seconds. Below are some example settings. You can see an example on the next slide.
Potential Holiday Lights Solution - Hardware
Potential Holiday Lights Solution - Code
var five = require("johnny-five");
var board = new five.Board();
board.on("ready", function() {
var led = new five.Led(11);
var setting = 0;
setInterval(function() {
led.stop(); // If we call pulse, we need to stop it
switch (setting) {
case 0:
led.pulse();
break;
case 1:
led.off();
break;
case 2:
led.on();
break;
}
setting = (setting + 1) % 3;
}, 3000);
});
Potential Holiday Lights Bonus 1 Solution - Hardware
Potential Holiday Lights Bonus 1 Solution - Code
var five = require("johnny-five");
var board = new five.Board();
board.on("ready", function() {
var led = new five.Led(11);
var setting = 0;
function changeSetting() {
led.stop(); // If we call pulse, we need to stop it
switch (setting) {
case 0:
led.pulse();
break;
case 1:
led.off();
break;
case 2:
led.on();
break;
}
setting = (setting + 1) % 3;
}
this.repl.inject({
cs: changeSetting // Now we can call cs() from the REPL
});
});
Potential Holiday Lights Bonus 2 Solution
You're on your own for this one!
Using 3 LEDs, count from 0 to 7 in binary as shown below. On represents 1 and off repesents 0.
Potential Binary Counter Solution - Hardware
Potential Binary Counter Solution - Code
var five = require("johnny-five");
var board = new five.Board();
board.on("ready", function() {
var led1 = new five.Led(9);
var led2 = new five.Led(10);
var led3 = new five.Led(11);
var num = 0;
setInterval(function() {
var binary = (num).toString(2);
binary.slice(-1) === "1" ? led1.on() : led1.off();
binary.slice(-2, -1) === "1" ? led2.on() : led2.off();
binary.slice(-3, -2) === "1" ? led3.on() : led3.off();
num = (num + 1) % 8;
}, 1000);
});
Allow the user to enter a number through the REPL and display it in binary on the LEDs
Potential Binary Counter Bonus Solution
You're on your own for this one!
var five = require("johnny-five");
var board = new five.Board();
board.on("ready", function() {
var button = new five.Button(2);
button.on("press", function() {
console.log("Button Pressed!");
});
button.on("hold", function() {
console.log("Button Held!");
});
button.on("release", function() {
console.log("Button Released!");
});
});
node button.js
Try pressing, releasing, and holding the button
You should see some output like this in the REPL
>> Button Pressed!
Button Released!
Button Pressed!
Button Released!
Button Pressed!
Button Held!
Button Held!
Button Released!
var five = require("johnny-five");
var board = new five.Board();
board.on("ready", function() {
var led = new five.Led(11);
var button = new five.Button(2);
button.on("press", function() {
led.on();
});
button.on("hold", function() {
led.blink(50);
});
button.on("release", function() {
led.stop().off();
});
});
node button_led.js
The LED should go on when you press, off when you release, and blink when you hold
Now that you've got the basics of buttons, you can either move on to the next component, or work on some button challenges
Try to solve them yourself before looking at the solution!
Press ↓ to scroll through the following challenges (and potential solutions)
Have pressing a button alternate turning an LED on and off
Potential Light Switch Solution - Hardware
Potential Light Switch Solution - Code
var five = require("johnny-five");
var board = new five.Board();
board.on("ready", function() {
var led = new five.Led(11);
var button = new five.Button(2);
var on = false;
button.on("press", function() {
if (on) {
led.off();
} else {
led.on();
}
on = !on;
});
});
Have 2 buttons and 1 LED. Make it so you have to press the buttons in a certain order to turn the LED on.
Potential Passcode Solution - Hardware
Potential Passcode Solution - Code
var five = require("johnny-five");
var board = new five.Board();
board.on("ready", function() {
var led = new five.Led(11);
var button1 = new five.Button(2);
var button2 = new five.Button(4);
var passcode = "12112";
var presses = "";
button1.on("press", function() {
presses += "1";
if (presses.indexOf(passcode) > -1) {
led.on();
}
});
button2.on("press", function() {
presses += "2";
if (presses.indexOf(passcode) > -1) {
led.on();
}
});
});
Make an LED (or multiple LEDs) go through different settings like some holiday lights do. It should change the setting every time the button is pressed. Below are some example settings.
Potential Holiday Lights Solution
You're on your own for this one!
Take your servo and add one of the attachments to it
var five = require("johnny-five");
var board = new five.Board();
board.on("ready", function() {
var servo = new five.Servo(11);
this.repl.inject({
servo: servo
});
});
node servo.js
> servo.to(10); // Move to 10 degrees
> servo.to(200); // Move to 200 degrees
> servo.value; // Get current position
> servo.min();
> servo.max();
> servo.range;
> servo.center();
> servo.sweep();
> servo.stop();
Now that you've got the basics of servos, you can either move on to the next component, or work on some servo challenges
Try to solve them yourself before looking at the solution!
Press ↓ to scroll through the following challenges (and potential solutions)
Make the servo rotate back and forth like a sprinkler
Potential Sprinkler Solution - Hardware
Potential Sprinkler Solution - Code
var five = require("johnny-five");
var board = new five.Board();
board.on("ready", function() {
var servo = new five.Servo(11);
var min = servo.range[0];
var max = servo.range[1];
var value = min;
function step() {
servo.to(value);
value = (value + 45) % max;
setTimeout(step, 500);
}
step();
});
Make pressing the left arrow button rotate the servo one way and pressing the right arrow button rotate the other way
Potential Arrows Solution - Hardware
Potential Arrows Solution - Code
npm install keypress
var five = require("johnny-five");
var keypress = require("keypress");
var board = new five.Board();
board.on("ready", function() {
var servo = new five.Servo(11);
process.stdin.on("keypress", function(ch, key) {
if (key && key.name === "left") {
servo.min();
} else if (key && key.name === "right") {
servo.max();
}
});
process.stdin.setRawMode(true);
process.stdin.resume();
});
Have the servo sweep while a button is held down
Potential Button Solution - Hardware
Potential Button Solution - Code
var five = require("johnny-five");
var board = new five.Board();
board.on("ready", function() {
var servo = new five.Servo(11);
var button = new five.Button(2);
button.on("press", function() {
servo.sweep();
});
button.on("release", function() {
servo.stop();
});
});
Uh oh! We ran out of slides! Feel free to try out some of the other components in your kit while we add more!


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