| < Day Day Up > |
Chapter 9. Computer Language SupportAs many programmers know, the task of programming usually breaks down into a cycle of think-write-debug. If you have used Unix (or various other operating systems) for programming, you have probably become accustomed to using separate tools for each phase of the cycle, for example, a text editor for writing, a compiler for compiling, and the operating system itself for running programs. You would undoubtedly find an environment much more productive if the boundaries between the cycle phasesóand the tools that support themówere erased. Emacs provides considerable support for writing, running, and debugging programs written in a wide variety of languages, and it integrates this support into a smooth framework. You never have to leave Emacs when developing programs, so you will find it easier to concentrate on the actual programming task (i.e., the "think" part of the cycle) because you won't have to spend lots of time going from one tool to another. When you write code, you can use one of Emacs's programming language modes; these turn Emacs into a spiffy syntax-directed or language-sensitive editor that knows about the syntax of the language. That makes it easier for you to write code in a uniform, easy-to-read, customizable style. Language modes exist for several different programming languages. Emacs also supports running and debugging programs. Shell mode (see Chapter 5) and multiple windows (see Chapter 4) allow you to run your code while editing it. Emacs has a powerful facility for interfacing to many compilers and the Unix make command: Emacs can interpret compilers' error messages and visit files where errors occur at the appropriate line number. Indeed, many tools (such as the Java build tool, ant) include command-line options to format their output in an Emacs-friendly way. In this chapter, we cover the features of language modes in general such as compiling and debugging programs, comments, indentation, and syntax highlighting. We also spend a bit of time upfront looking at the etags facility, which is a great help to programmers who work on large, multifile projects. These features apply to all language modes. We then delve into Emacs's support for various languages, including C, C++, Java, Perl, SQL, and Lisp. |
| < Day Day Up > |


--- layout: default title: anusridh ---
I am research intern in the Snyder lab at Stanford University. I am interested in chronic diseases, nutrition, and quantifying health. In my current research I investigate the sensor technologies of glucose measuring devices, as well as their data policies and practical applications. I did my undergraduate at Rutgers in the honors college with degrees in engineering and physics. I completed my master's degree at Northwestern in material science.
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Abstract
{% endif %}
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Bibtex
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Code
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SEO (optimized for search engines)
SEO
: Search Engine Optimization
, which is search engine optimization. In order to make your website indexed by search engines so that users can search our website through search engines, we need to do some things:
Page keywords and description
Add keywords and descriptions to each page, such as .md
file header (source text on this page)
---
title: SEO (optimized for search engines)
keywords: teedoc, SEO, search optimization, search engine indexing
desc: How to use teedoc to do SEO (speed up search engines to include websites and pages)
---
This will automatically add a title to the article, and add keywords and descriptions to the HTML
file for search engines to fetch
In addition, since the page will generate a first-level title based on this title, it is best not to use the first-level title for the article, and use the second-level title directly, such as:
---
title: SEO (optimized for search engines)
keywords: teedoc, SEO, search optimization, search engine indexing
desc: How to use teedoc to do SEO (speed up search engines to include websites and pages)
---
## Introduction
Here is the introduction
## Directory Two
Sitemap
A site map will be generated to /sitemap.xml
, and a robot crawling rule to /robots.txt
. You can submit the url
of this sitemap
in the webmaster background of the search engine, so Search engines will come to grab information
You can set the robots
key value in the site_config.json
to prevent crawlers from crawling certain files or content. For the format, please refer to the description of the robots
key value in Instructions for use
End of page record information
In China, all websites need to be filed before they can be included by search engines. Add your website's file information in config.json
. Note that the file information must be consistent with the domain name, otherwise it will be invalid


Create a warm working atmosphere with your friend
Imagine going the same journey with your friends
Work together, play together, prosper together
TechLink Events/ Announcements/ Projects Hosted:
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Some more events


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Our Stores
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Raspberry-Pi Cluster Health
Dashboard
API Client
Task History
Task History
Dashboard
Task History
Task History
Task ID
Output


{{'An email has been sent to' | translate}} {{user.email}}. {{'The email contains further instructions on how to activate your account' | translate}}.

Enter your email address.
Password must be at least 6 characters.
{{'Password confirmation must match' | translate}}


Open P2P Design is a community-centered design methodology for co-designing with a community open and p2p organizational forms with an open and p2p design process. It is a way to co-design a collaborative activity with/for a community that can use it for self-organizing itself and solve its specific problems. Open P2P Design starts from Service Design and it’s aimed at collaborative activities, and therefore it can be applied to a broad range of activities: public services and policies, business initiatives, design and making initiativs.
The main idea behind Open P2P Design is that technology, tools and the sharing of information alone are not enough for setting up successful open organizations, and that we can co-design such open organizations, tools and technologies with the active participation of communities.
After many years of research, Open P2P Design was developed into a more refined and structured framework, OpenMetaDesign.


Class: Brauser::Value
- Inherits:
-
Object
- Object
- Brauser::Value
- Defined in:
- lib/brauser/value.rb
Overview
A defined entity, which supports comparison against a single or multiple values.
Instance Attribute Summary (collapse)
-
- (Object) value
readonly
The wrapped value.
Instance Method Summary (collapse)
-
- (Boolean) ==(other)
Check if an object is equal to another object or if it is contained in a list of objects.
-
- (Value) initialize(value)
constructor
Creates a new value.
-
- (Object) method_missing(method, *args, &block)
Delegates all the other values to the wrapped value.
Constructor Details
- (Value) initialize(value)
Creates a new value
18 19 20 |
# File 'lib/brauser/value.rb', line 18 def initialize(value) @value = value end |
Dynamic Method Handling
This class handles dynamic methods through the method_missing method
- (Object) method_missing(method, *args, &block)
Delegates all the other values to the wrapped value.
35 36 37 |
# File 'lib/brauser/value.rb', line 35 def method_missing(method, *args, &block) @value.send(method, *args, &block) end |
Instance Attribute Details
- (Object) value (readonly)
Returns The wrapped value.
11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 |
# File 'lib/brauser/value.rb', line 11 class Value attr_reader :value delegate :to_s, :inspect, to: :value # Creates a new value # # @param value [Object] The wrapped value. def initialize(value) @value = value end # Check if an object is equal to another object or if it is contained in a list of objects. # # @param other [Array|Object] The other object to match. # @return [Boolean] `true` if the current object is either equal or contained in the other object, `false` otherwise. def ==(other) other.is_a?(Array) ? other.include?(@value) : (@value == other) end # Delegates all the other values to the wrapped value. # # @param method [Symbol] The method to call. # @param args [Array] The arguments to pass to the method. # @param block [Proc] The block to pass to the method. def method_missing(method, *args, &block) @value.send(method, *args, &block) end end |
Instance Method Details
- (Boolean) ==(other)
Check if an object is equal to another object or if it is contained in a list of objects.
26 27 28 |
# File 'lib/brauser/value.rb', line 26 def ==(other) other.is_a?(Array) ? other.include?(@value) : (@value == other) end |


--- layout: post title: using tape to make wireframe sculptures date: '2010-12-29T13:56:45+00:00' tags: [] tumblr_url: http://backlog.robbevan.com/post/2512191559/using-tape-to-make-wireframe-sculptures ---
Using tape to make wireframe sculptures


To import a certificate in to your trusted certificates database, open
the certificate manager by selecting
Tools -> Manage Certificates...
option from the menu bar. This will open the
Manage Certificates
dialog. Click on the
Import
button. This will open a file dialog titled,
Select a File
.
Select the file containing the certificate(s) that you would like to
import. Make sure that the file is in DER/PEM encoded format and click
on the
Open
button. This should import the certificate(s) in to your trusted
certificate database. If the import fails for any reason, the cause
for the failure will be displayed.


| ↑ Up |
In Moss strings are immutable. That means, after construction,
a string cannot be modified. Therefore one cannot append a
string s2
to a string s1
. To bypass
this problem one could write s1=s1+s2
. But this
sparks off another problem. To understand this we should have
a look on the following statement:
s = s1+s2+s3+s4+s5+s6
All additions except the last require the construction of a temporary string that will be deleted after the next addition. This results in a huge amount of memory allocations and memory displacements. And the memory to displace gets longer and longer. The following program unveils the full painfullness of this approach.
n = 1000 s = "" for i in 1..n s = s+"." end
We may increase n
to 10000
or 100000
and measure
how long it takes. A better method is to use the
method join
that glues strings together:
s = [s1,s2,s3,s4,s5,s6].join()
Now one can use a list as a buffer.
a = [] for i in 1..n a.push(".") end s = a.join()
We can directly obtain an implementation from the recursive definition of the Fibonacci-squence:
fib = |n| 1 if n==1 or n==2 else fib(n-1)+fib(n-2)
If n
increases by one, the number of needed calls
to fib
is multiplied by a factor of two.
Ok, let N
be this number of needed calls. Then we have
N(n+1) = 2N(n).
Mathematics says, the solution of this equation is
N(n)=c+2^n
. That c
is some uninteresting
constant. If t
is the amount of time
a call would take, the computer spends t*N(n)
for the computation.
But fib
is so simple, it is obvious that
the computation should take only N(n)=c+n
calls.
The following memoizing fixed point combinator achieves this.
function fix(F) m = {} return fn g|n| if n not in m then m[n] = F(g,n) end return m[n] end end fib = fix(|f,n| 1 if n==1 or n==2 else f(n-1)+f(n-2))
Uniq(ue) is an operation that removes duplicates from a list. Sets and maps provide a simple way to state this operation. The first way to achieve unique is to convert the list into a set and then back into a list.
# (1) uniq = |a| list(set(a))
If two non-equal elements have a different string representation, we can use a map construction instead of a set construction.
# (2) uniq = |a| list(map(a.map(|x| [str(x),x])).values())
What should be equal and what not, may be abstracted by
a projection function p
:
uniq = |a,p| list(map(a.map(|x| [p(x),x])).values())
The last one is very general, with uniq(a,|x| x)
equivalent to (1) and uniq(a,str)
equivalent to (2).
Floating point numbers need a version of unique that takes a desired precision:
uniq = |a,prec| list(map(a.map(|x| [int(x/prec),x])).values())
Here is a basic implementation of multiple dispatch in Moss. At first, some auxiliary functionality is to be defined.
dtab = {} function define(m,d) if m not in dtab dtab[m] = d else dtab[m].update(d) end end method = { 2: fn|m| f = dtab[m] return |x,y| f[[type(x),type(y)]](x,y) end }
So far, dtab
is thought to contain a dispatch table
for each method name.
Now we can specify a multimethod:
Str = String define("f",{ [Int,Int]: |x,y| "({},{}) [Int,Int]"%[x,y], [Str,Str]: |x,y| "({},{}) [Str,Str]"%[x,y], [Int,Str]: |x,y| "({},{}) [Int,Str]"%[x,y], [Str,Int]: |x,y| "({},{}) [Str,Int]"%[x,y] }) f = method[2]("f") print(f(1,2)) print(f("x","y")) print(f(1,"y")) print(f("x",2)) # Output: # (1,2) [Int,Int] # (x,y) [Str,Str] # (1,y) [Int,Str] # (x,2) [Str,Int]
You might want to load a large array or map from a text file as a Moss program, for example to initialize a database. But then something like this happens:
> eval(str(list(1..10000)))
thread 'main' panicked at 'index out of bounds: the
len is 3997 but the index is 3997', src/vm.rs:3829:11
note: Run with `RUST_BACKTRACE=1` for a backtrace.
Whoops. We have produced a stack overflow of the object stack, a part of the internal call stack system.
The same happens if you try to call a recursive function, but the recursion depth is too high:
> f = |n| 0 if n==0 else 1+f(n-1) > f(10000) thread 'main' panicked at 'index out of bounds: the len is 4000 but the index is 4000', src/vm.rs:3829:11 note: Run with `RUST_BACKTRACE=1` for a backtrace.
To solve this issue, at any point in a program, a subprogram
can be run on a new object stack of greater size.
There is a function call(n,main)
, with the purpose
to run main
on a new object stack of size
n
.
use sys: call f = |n| 0 if n==0 else 1+f(n-1) function main() a = eval(str(list(1..10000))) print(f(10000)) end call(100000,main)
Even in call(n,main)
by sufficient n
you might suffer a stack overflow of the actual machine stack,
in case the recursion involves higher order functions built-in
in the interpreter. To circumvent this, there is a module called
sys.stackless
. Loading this module replaces
the built-in higher order functions with Moss code.
Sometimes one wants the control flow to break out of a loop from within a function call or early return from within multiple function calls. This can be accomplished by throwing an object that will be recognized by a surrounding try-catch block.
class Break = {} deep_break = table Break{} try (1..10).each(fn|x| print(x) if x==4 then raise deep_break end end) catch e if e is deep_break end
Deep breaking is similar to throwing exceptions, but as deep breaking is regular control flow, no traceback will be generated. However, tracebacks can be turned on for debugging:
debug = true class Break: (Exception if debug) = {}
Deep breaking can transport values:
deep_break.value = value raise deep_break


Instead, ask "Do you mind if I type?" or just "May I?"
How else...?
How should the teacher respond to the first few questions?
Positively!
i’m glad you said that
what an interesting question
great question
i’ve wondered that myself
Questions are good
Get people comfortable asking questions
Ask for questions (even dumb ones)
Later in the workshop, anticipate questions if possible
when a question is posed, let another student answer it first
lay this expectation out explicitly at the beginning that they should try to answer each other’s questions
Why might students not ask questions?
Vocabulary (they don’t know what methods are, etc.)
Insecurity
...?
Pacing
Slow down!
if you’re excited/nervous, you will be talking too fast
talk sssssslllllloooooowwwwwwllllllyyyyyyyy.
Wait much longer than you feel is comfortable for questions/comments
leave a space for them to ask questions
Also make sure to wait for an answer after you ask a question
Count to ten (silently)
Chances are, someone else will fill the void
Pacing (cont.)
Ask about pacing. Ask for feedback.
emphasize: this is a learning process
get the students talking to each other
What if a student feels the class is going too slow?
Talk to her privately
Suggest moving up from noob to post-noob
Suggest field promotion to TA
How to effectively use TA's?
have them debug/look at students’ computer screens
pair them with the n00best/most shy students
encourage TAs to answer questions
TA's explanation might resonate with a student where yours didn't
Treat student like customer
What is underlying concern?
Pair programming -- yea or nay?
Pros?
Cons?
Install Fest
If you go to the install fest, introduce yourself as a TA
"I'll be here to help you tomorrow"
More general teaching tips
Don't think about what you're doing to do in the class, think about what they're going to do.
tell them what you’re going to tell them, tell them, and tell them what you told them
...?
How do you check their understanding?
Some things that don't work:
“Stop me if you don’t understand.” (because they’ll be too shy)
“Do you get it?” (because it’s too easy to say yes when the answer is no)
ask them a question about the material. but how to do this without putting them on the spot?
ask questions about something that has already been built on top of. Spiral.
How do you check their understanding? (more)
keep an eye on body language/facial expressions
'i see some confusion. let’s get a question.'
pairing off and discussing/explaining
ask a less binary question to check understanding
how would you do ___
if i want to do this, what would i do?
How do you check their understanding? (more)
teach basic concept, then ask them to apply it
explain while loops, have them build one
pair them off and debug
ok to ask the same question twice with slightly different variables
don’t let the ringer dictate the pace
Teaching Programming
How would you explain these concepts to a total beginner?
What is a variable?
What is the difference between a string and a number?
What is a comment?
What is a function?
More advice on teaching programming
Ruby sometimes makes things magical by doing things for you. But this magic obscures the underlying patterns for beginners. Don’t get into optional parameters. If something can be left out in a function call, DON’T leave it out.
Before you have them do anything, first explain the big picture of what they’re about to do.
E.G.: before typing in the command to deploy to heroku, explain the difference between localhost and heroku.
Diagrams are helpful! Draw how all the pieces connect together.
Now You Do It
It's time to split up into smaller groups and go through all the materials
Together with a partner (or two or three), do the whole workshop
Make note of problems or questions so we can discuss them at the end


This is the client for Engine.IO, the implementation of transport-based cross-browser/cross-device bi-directional communication layer for Socket.IO.
You can find an engine.io.js
file in this repository, which is a
standalone build you can use as follows:
<script src="/path/to/engine.io.js"></script>
<script>
// eio = Socket
var socket = eio('ws://localhost');
socket.on('open', function(){
socket.on('message', function(data){});
socket.on('close', function(){});
});
</script>
Engine.IO is a commonjs module, which means you can include it by using
require
on the browser and package using browserify:
install the client package
$ npm install engine.io-client
write your app code
var socket = require('engine.io-client')('ws://localhost');
socket.on('open', function(){
socket.on('message', function(data){});
socket.on('close', function(){});
});
build your app bundle
$ browserify app.js > bundle.js
include on your page
<script src="/path/to/bundle.js"></script>
<script src="/path/to/engine.io.js"></script>
<script>
var socket = new eio.Socket('ws://localhost/');
socket.binaryType = 'blob';
socket.on('open', function () {
socket.send(new Int8Array(5));
socket.on('message', function(blob){});
socket.on('close', function(){ });
});
</script>
Add engine.io-client
to your package.json
and then:
var socket = require('engine.io-client')('ws://localhost');
socket.on('open', function(){
socket.on('message', function(data){});
socket.on('close', function(){});
});
var opts = {
key: fs.readFileSync('test/fixtures/client.key'),
cert: fs.readFileSync('test/fixtures/client.crt'),
ca: fs.readFileSync('test/fixtures/ca.crt')
};
var socket = require('engine.io-client')('ws://localhost', opts);
socket.on('open', function(){
socket.on('message', function(data){});
socket.on('close', function(){});
});
var opts = {
extraHeaders: {
'X-Custom-Header-For-My-Project': 'my-secret-access-token',
'Cookie': 'user_session=NI2JlCKF90aE0sJZD9ZzujtdsUqNYSBYxzlTsvdSUe35ZzdtVRGqYFr0kdGxbfc5gUOkR9RGp20GVKza; path=/; expires=Tue, 07-Apr-2015 18:18:08 GMT; secure; HttpOnly'
}
};
var socket = require('engine.io-client')('ws://localhost', opts);
socket.on('open', function(){
socket.on('message', function(data){});
socket.on('close', function(){});
});
Engine
message
event.The client class. Mixes in Emitter.
Exposed as eio
in the browser standalone build.
protocol
(Number): protocol revision numberbinaryType
(String) : can be set to 'arraybuffer' or 'blob' in browsers,
and buffer
or arraybuffer
in Node. Blob is only used in browser if it's
supported.open
message
String
| ArrayBuffer
: utf-8 encoded data or ArrayBuffer containing
binary dataclose
open
event does not occur (i.e. due to connection error or close()
).error
flush
drain
drain
event of transport if writeBuffer is emptyupgradeError
upgrade
ping
pong
String
uriObject
: optional, options objectagent
(http.Agent
): http.Agent
to use, defaults to false
(NodeJS only)upgrade
(Boolean
): defaults to true, whether the client should try
to upgrade the transport from long-polling to something better.forceJSONP
(Boolean
): forces JSONP for polling transport.jsonp
(Boolean
): determines whether to use JSONP when
necessary for polling. If disabled (by settings to false) an error will
be emitted (saying "No transports available") if no other transports
are available. If another transport is available for opening a
connection (e.g. WebSocket) that transport
will be used instead.forceBase64
(Boolean
): forces base 64 encoding for polling transport even when XHR2 responseType is available and WebSocket even if the used standard supports binary.enablesXDR
(Boolean
): enables XDomainRequest for IE8 to avoid loading bar flashing with click sound. default to false
because XDomainRequest has a flaw of not sending cookie.timestampRequests
(Boolean
): whether to add the timestamp with each
transport request. Note: polling requests are always stamped unless this
option is explicitly set to false
(false
)timestampParam
(String
): timestamp parameter (t
)policyPort
(Number
): port the policy server listens on (843
)path
(String
): path to connect to, default is /engine.io
transports
(Array
): a list of transports to try (in order).
Defaults to ['polling', 'websocket']
. Engine
always attempts to connect directly with the first one, provided the
feature detection test for it passes.transportOptions
(Object
): hash of options, indexed by transport name, overriding the common options for the given transportrememberUpgrade
(Boolean
): defaults to false.
If true and if the previous websocket connection to the server succeeded,
the connection attempt will bypass the normal upgrade process and will initially
try websocket. A connection attempt following a transport error will use the
normal upgrade process. It is recommended you turn this on only when using
SSL/TLS connections, or if you know that your network does not block websockets.pfx
(String
): Certificate, Private key and CA certificates to use for SSL. Can be used in Node.js client environment to manually specify certificate information.key
(String
): Private key to use for SSL. Can be used in Node.js client environment to manually specify certificate information.passphrase
(String
): A string of passphrase for the private key or pfx. Can be used in Node.js client environment to manually specify certificate information.cert
(String
): Public x509 certificate to use. Can be used in Node.js client environment to manually specify certificate information.ca
(String
|Array
): An authority certificate or array of authority certificates to check the remote host against.. Can be used in Node.js client environment to manually specify certificate information.ciphers
(String
): A string describing the ciphers to use or exclude. Consult the cipher format list for details on the format. Can be used in Node.js client environment to manually specify certificate information.rejectUnauthorized
(Boolean
): If true, the server certificate is verified against the list of supplied CAs. An 'error' event is emitted if verification fails. Verification happens at the connection level, before the HTTP request is sent. Can be used in Node.js client environment to manually specify certificate information.perMessageDeflate
(Object|Boolean
): parameters of the WebSocket permessage-deflate extension
(see ws module api docs). Set to false
to disable. (true
)threshold
(Number
): data is compressed only if the byte size is above this value. This option is ignored on the browser. (1024
)extraHeaders
(Object
): Headers that will be passed for each request to the server (via xhr-polling and via websockets). These values then can be used during handshake or for special proxies. Can only be used in Node.js client environment.onlyBinaryUpgrades
(Boolean
): whether transport upgrades should be restricted to transports supporting binary data (false
)forceNode
(Boolean
): Uses NodeJS implementation for websockets - even if there is a native Browser-Websocket available, which is preferred by default over the NodeJS implementation. (This is useful when using hybrid platforms like nw.js or electron) (false
, NodeJS only)localAddress
(String
): the local IP address to connect torequestTimeout
(Number
): Timeout for xhr-polling requests in milliseconds (0
)protocols
(Array
): a list of subprotocols (see MDN reference)send
String
| ArrayBuffer
| ArrayBufferView
| Blob
: data to sendObject
: optional, options objectFunction
: optional, callback upon drain
compress
(Boolean
): whether to compress sending data. This option is ignored and forced to be true
on the browser. (true
)close
The transport class. Private. Inherits from EventEmitter.
poll
: emitted by polling transports upon starting a new requestpollComplete
: emitted by polling transports upon completing a requestdrain
: emitted by polling transports upon a buffer drainengine.io-client
is used to test
engine. Running the engine.io
test suite ensures the client works and vice-versa.
Browser tests are run using zuul. You can run the tests locally using the following command.
./node_modules/.bin/zuul --local 8080 -- test/index.js
Additionally, engine.io-client
has a standalone test suite you can run
with make test
which will run node.js and browser tests. You must have zuul setup with
a saucelabs account.
The support channels for engine.io-client
are the same as socket.io
:
To contribute patches, run tests or benchmarks, make sure to clone the repository:
git clone git://github.com/socketio/engine.io-client.git
Then:
cd engine.io-client
npm install
See the Tests
section above for how to run tests before submitting any patches.
MIT - Copyright (c) 2014 Automattic, Inc.


Interface JoinFacadeInterface
Interface JoinFacadeInterface
Methods summary
public
|
#
inner( string $table, array $optionalTables = array() )
Join the expected table with an inner join.
In the second argument can pass optional tables for the join operation.
Join the expected table with an inner join.
In the second argument can pass optional tables for the join operation.
Parameters
- $table
- Name of the table for the join.
- $optionalTables
- (Optional) Array with table names as elements
Returns
$this The same instance to concatenate methods.
|
public
|
#
left( string $table, array $optionalTables = array() )
Join the expected table with a left join.
In the second argument can pass optional tables for the join operation.
Join the expected table with a left join.
In the second argument can pass optional tables for the join operation.
Parameters
- $table
- Name of the table for the join.
- $optionalTables
- (Optional) Array with table names as elements
Returns
$this The same instance to concatenate methods.
|
public
|
#
right( string $table, array $optionalTables = array() )
Join the expected table with a right join.
In the second argument can pass optional tables for the join operation.
Join the expected table with a right join.
In the second argument can pass optional tables for the join operation.
Parameters
- $table
- Name of the table for the join.
- $optionalTables
- (Optional) Array with table names as elements
Returns
$this The same instance to concatenate methods.
|
public
|
#
leftOuter( string $table, array $optionalTables = array() )
Join the expected table with a left outer join.
In the second argument can pass optional tables for the join operation.
Join the expected table with a left outer join.
In the second argument can pass optional tables for the join operation.
Parameters
- $table
- Name of the table for the join.
- $optionalTables
- (Optional) Array with table names as elements
Returns
$this The same instance to concatenate methods.
|
public
|
#
rightOuter( string $table, array $optionalTables = array() )
Join the expected table with a right outer join.
In the second argument can pass optional tables for the join operation.
Join the expected table with a right outer join.
In the second argument can pass optional tables for the join operation.
Parameters
- $table
- Name of the table for the join.
- $optionalTables
- (Optional) Array with table names as elements
Returns
$this The same instance to concatenate methods.
|
public
|
#
natural( string $table, string|null $way = null )
Join the expected table with a natural join.
In the second argument can pass the way, which have to be whether 'inner', 'left[:outer]' or 'right[:outer]'.
Join the expected table with a natural join.
In the second argument can pass the way, which have to be whether 'inner', 'left[:outer]' or 'right[:outer]'.
Parameters
- $table
- Name of the table for the join.
- $way
- (Optional) Whether 'inner', 'left[:outer]', 'right[:outer]' or null.
Returns
$this The same instance to concatenate methods.
|
public
|
#
on( array $firstColumn, array $secondColumn )
Set the condition how to join the table[s] with the 'on' keyword.
The passed arguments require to be arrays in the following format: ['column' => $col, 'table' => $table].
An invalid argument exception will thrown when the arrays are invalid.
Set the condition how to join the table[s] with the 'on' keyword.
The passed arguments require to be arrays in the following format: ['column' => $col, 'table' => $table].
An invalid argument exception will thrown when the arrays are invalid.
Parameters
- $firstColumn
- Associative array: ['column' => $col, 'table' => $table].
- $secondColumn
- Associative array: ['column' => $col, 'table' => $table].
Returns
$this The same instance to concatenate methods.
|
public
|
#
using( string $column )
Set the condition how to join the table[s] with the 'using' keyword.
Set the condition how to join the table[s] with the 'using' keyword.
Parameters
- $column
- Name of the column for the using condition.
Returns
$this The same instance to concatenate methods.
|
public
Alcys\Core\Db\Expression\JoinInterface
|
|
Magic methods summary


The ships hung in the sky, much the way that bricks don't.
| A1 | A2 | A3 | |
| B1 | B2 | B3 | B 4 |
This is some text with inline elements and HTML entities (>bla<)
But, a pre-formatted block should be kept pre-formatted.The Greatest Science Fiction Quotes Of All Time
Don't know, I don't know such stuff. I just do eyes, ju-, ju-, just eyes... just genetic design, just eyes. You Nexus, huh? I design your eyes.


{% extends "accounts/base.html" %} {% block title %}Forgot Password{% endblock %} {% block body %} {% if success %}
Please check your email
{% elif not already_verified %}Your email was not verified. Please verify first and reset the password. To send the confirmation mail again, click here.
{% else %} {% endif %} {% endblock %}


Can't Hardly Wait (1998)
Director: Harry Elfont, Deborah Kaplan Cast: Ethan Embry, Jennifer Love Hewitt, Peter Facinelli, Charlie Korsmo Seth Green, Jerry O'Connell, Melissa Joan Hart Screenplay: Deborah Kaplan, Harry Elfont Producers: Jenno Topping Runtime: 100 min. US Distribution: Columbia/Sony Pictures Entertainment Rated PG-13: teen drinking, sex, language
By Nathaniel R. Atcheson<EMAIL_ADDRESS>I think I'm just barely too young to have been part of that 80s series of Movies for Rebellious Teenagers. I've seen The Breakfast Club, and I think it's a pretty good film. I've seen only parts of some of the other noteable ones (like Say Anything and Fast Times at Ridgemont High), so whatever cliches exist in this genre are likely to have passed me up if they were present in Can't Hardly Wait.
I've read a lot of reviews for Can't Hardly Wait before writing my own (typically I don't like to do this, but, because I've procrastinated so much, it was unavoidable). Most of the critics are saying the same things, complaining about stereotype characters and standard situations, et cetera. It seems pretty clear to me that Deborah Kaplan and Harry Elfont, who co-wrote and co-directed, were very conscious of the angle they took. High school was little more than stereotype characters and standard situations, and Can't Hardly Wait does a great job of making fun of every degree of the caste.
It's the night of graduation, and there's a big party. The film doesn't follow a strict narrative or plotting, but does a good job of introducing some fun characters and giving them high-school-ish things to do. The most central character is Preston (Ethan Embry), the typical nice guy (and smart guy -- we immediately learn that he's off to Dartmouth in the fall). His subplot revolves around his love for Amanda (Jennifer Love Hewitt), who has just been dumped by her four-year jock boyfriend, Mike (Peter Facinelli).
Preston is friends with Denise (Lauren Ambrose), a cynical misanthrope (are all misanthropes cynical?), who gets trapped in the bathroom with Kenny (Seth Green). Kenny is a white guy who pretends that a) he's black, and b) he's a slick ladies man. Denise shows him that he's neither one. Then there's William (Charlie Korsmo), the genius nerd who finally gets drunk and finds that the ladies are more attracted to intelligence than he had initially thought.
Can't Hardly Wait flows nicely through the twenty-four hours in which it takes place (beginning with graduation and ending with a nice scene in a train station). Kaplan and Elfont have constructed the film intelligently, and put some familiar tricks to good use (I liked the way Preston's letter gets into Amanda's hands). They also keep the popular music raging throughout the picture; even though this dates the film severely, it certainly will bring back not-so-distant memories for anyone in my generation.
I also liked the actors and their characters. Are they really stereotypes? Well, I suppose. A few critics agree that the only interesting character is Denise, but since I know so many people like her, I found her no more interesting than anyone else. I could enjoy myself watching Jennifer Love Hewitt scrape paint off a wall, so her acting ability is negligible for me (although I do think she's a talented actress). Embry is endearing with his puppy dog eyes (and he could win a Matthew McConaughey look-alike contest). I also enjoyed Facinelli's over-the-top imitation of the Head Jock. I hate jocks, and he does a great job making fun of them (and he could win a Tom Cruise look-alike contest).
If I have any complaints, it's that the movie kind of lags through the middle. The pace is swift, but it gets a bit repetitive at times. But on the whole, Can't Hardly Wait is a funny and intelligent film about the late teenage years. High school, which, for this reviewer, ended just two short years ago, was nothing more than a bunch of stereotypical people searching for themselves. There's no doubt in my mind that Kaplan and Elfont had this fact in mind as they made their film -- Can't Hardly Wait is a movie that any kid who grew up in the 90s will appreciate.
*** out of **** (7/10, B)
Visit FILM PSYCHOSIS at http://www.pyramid.net/natesmovies
Nathaniel R. Atcheson
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
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Related links: index of all rec.arts.movies.reviews reviews


--- layout: default --- Redirecting you to the registeration form. If you are not automatically redirected click here


Woo (R) ** (out of ****)
The title of the comedy Woo is a lie. Taking its name from its party girl protagonist, this sporadically amusing lark seems less concerned with Woo than the more oddball characters and situations circling her.
Woo roughly fits the bill of a romantic comedy, and this angle of the film holds some promise. Woo (Jada Pinkett Smith), a fiery, independent young woman who is fixed up on a blind date with square paralegal Tim (Tommy Davidson) by her cousin Claudette's (Paula Jai Parker) boyfriend Lenny (Dave Chappelle). The conflict between Woo's free-spirited, partying ways and the conservatism of the "stuffy" Tim leads to one long, disaster- and embarrassment-filled night for the both of them--but mostly for Tim, of course. In general, the comic complications moderately amuse, but some, like a restaurant fire that Woo inadvertently causes, crash and burn (no pun intended). However, all of this remains watchable, thanks to the two appealing leads. They have a terrific rapport, and Davidson's hilariously high-strung, put-upon straight man manages to upstage the sexy spunk of Pinkett Smith, who never looks less than gorgeous throughout the entire film.
If writer David C. Johnson and Daisy v.S. Mayer had stuck with Woo and Tim exclusively, the film wouldn't have been great, but it would have been better than the often meandering movie the complete Woo is. Too often the film becomes sidetracked by the more eccentric peripheral players, such as Claudette, Lenny, and Tim's trio of obnoxious buddies, Frankie (Duane Martin), Romaine (Michael Ralph), and Hop (Darrel Heath). Claudette and Lenny are given a raucous, raunchy showcase scene that is worth a few laughs, but they disappear completely after that, making its necessity questionable. Frankie, Romaine, and Hop are funny at first, but their broadly boorish antics grow old long before they are shown on a side trip at a drag club. Completely out of place is an earnest, barely developed subplot involving Woo's strained relationship with her brother (Dartanyan Edmonds). It's quite telling that the two most memorable supporting characters only appear in one scene each: Darryl (LL Cool J), Tim's slick ladies' man neighbor; and Crayola (Nicci Gilbert), a gossipy police department desk clerk with an attitude problem.
Adding to Woo's problems is its jarringly abrupt ending. Although I did not particularly care for the film as a whole, I would not have minded the additional 20 minutes or so dealing that the ending point suggests; it would have given Woo and Tim's relationship a more satisfying and well-rounded closure. But perhaps that would not have been a problem if the entire film had focused entirely on the central couple, which would have made Woo a more satisfying and well-rounded movie.
Michael Dequina Chat Forum Host, The Official Michael Jordan Web Site http://jordan.sportsline.com
<EMAIL_ADDRESS><EMAIL_ADDRESS>|<EMAIL_ADDRESS>>My personal WWW sites< Mr. Brown's Movie Site: http://welcome.to/mrbrown Michael Jordan Beyond the Court: http://fly.to/michaeljordan A Michael Jordan Fan's Heartbreak: http://fly.to/mj23 Personal Page: http://welcome.to/w3md >Other WWW sites I work on< CompuServe Hollywood Hotline: http://www.HollywoodHotline.com Albany Online: http://www.AlbanyOnline.com Eyepiece Network: http://www.eyepiece.com
"I didn't know what to expect. It's like something you chase for so long, but then you don't know how to react when you get it. I still don't know how to react." --Michael Jordan, on winning his first NBA championship in 1991 ...or, my thoughts after meeting him on November 21, 1997
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


User guide¶
- Summary
This is a broad outline on how the software is used. For a scientific discussion on theory and examples on use, read the literature.
Installation¶
For installation please refer to the Installation section..
Hartree Fock SCF¶
A HF calculation can be preformed… Behold:
1 2 3 4 | #This doesn't work but is just placeholder for someone to edit
from DFT_1d import hf_scf
Answer = hf_scf.CALCULATECALCULATECALCULATE
print(Answer)
|
The examples directory includes:


Onesixtyone | onesixtyone is an SNMP scanner which utilizes a sweep technique to achieve very high performance. It can scan an entire class B network in under 13 minutes. It can be used to discover devices responding to well-known community names or to mount a dictionary attack against one or more SNMP devices.
SNMPWALK | snmpwalk - retrieve a subtree of management values using SNMP GETNEXT requests
Metasploit /aux/scanner/snmp/snmp_login
[snmpcheck](http://www.nothing.org/perl/snmpcheck) | Accepts a target and community string. Uses common MIB to enumerate a device
[snmpwalk]() | Walk a devices MIB tree
[snmpset]() | Set an SNMP setting if access is correct
[Cain & Abel]() | Also has SNMP CISCO configuration downloader/uploader
[snmpblow.pl]() | Linux alternative to cain, can retrieve CISCO config
DNS lookups (for NMS or potential devices) see Tools > OSINT > DNS


System Architect Picture "Focus For Further Activity"
Parent Diagram:
Subject Property Qualifier
(UML Class)


--- layout: default title: "Modules" subtitle: Form Validator menu: module submenu: form-validator website: https://github.com/iqbalfn/bootstrap-form-error ---


When opening this page in your copy of TOR Browser (https://www.torproject.org/download/),
you will be able to add DuckDuckGo's Onion address as the search engine in TOR, thus, far more anonymous than its clearnet counterpark (duckduckgo.com).
Add DDG's onion to TOR browser


Hi
!
welcome to the Arkis App setup
This step is the preliminary step for the installation of the Arkis application.
This process is going to take few minutes so please be patient.
Please provide some configuration properties related to the reporting data
that will be synced during installation


Pull Requests and Rebasing
Disclaimer: This exercise page functions as a compliment to what we'll be doing together in class. It won't work stand-alone
Fork and Clone the Hackathon Repo
First, split up in pairs again for error redundancy :).- Go to
http://github.com/software-development/hackathon
. Fork it to your own account (e.g.,eob/hackathon
) - Now clone your copy of the repository down to your own computer
On Board: What team structure did we just create?
Create a new branch for your change
- Create a branch for your change. Name it appropriately
- Add your pizza request
- Push your changes up to your github repo
On Projector: Explore some changes on Github.
Create a pull request
We'll look at some of these in Github and merge them in.
What about the other pull requests?
They're out of date now that we've begin changing the official repository.
First, add the official repository as a read-only remote.
git remote add official git://github.com/software-development/hackathon.git
Next, bring your local master up to date.
git checkout master git pull official master
And while you're at it, might as will push those changes up to your github Repo
git push origin master
Now, you can rebase your feature branch with the new official master
git checkout eob-pizza-request git rebase master
You'll be prompted to add and resolve any conflicts.
When you're done, try to push that up to your request branch
git push origin eob-pizza-request
It fails: why?
- Discuss: Rebasing to keep in track before you publish your change
Let's delete that remote branch and pretend it never existed.
This is the unfortunately awkward command to delete a remote branch:
git push origin :eob-pizza-request
Now try pushing your feature branch up again:
git push origin eob-pizza-request
Now try that pull request again.
- Discuss: But what about once you've issued the pull request? How do update without deleting?


With Shiori, you can take advantage of all the available components in Bootstrap. Here are some useful components for blogging.
Buttons and Font Awesome
Shiori automatically imports the latest version of Font Awesome. You can use it with button
s like so:
Text Helpers
You can use text helper classes to modify text easily. Documentations here and here.
Use text-muted
to mute text color.
Use lead
to for call-out text.
Use text-center
to center text.
Alerts
Responsive Embed
Add embed-responsive
and either embed-responsive-16by9
or embed-responsive-4by3
classes to make embedded objects responsive.
JavaScript Components
You can use all of the JavaScript components included by Bootstrap. Example: A modal dialog.
Customizing Bootstrap
Shiori uses bootstrap-sass, so all of the variables are customizable. To learn more, check out Shiori’s README.


Popupmenu Test: Single-Selectable Menu
Common configuration for single-select popupmenus attached to buttons.


Copyright (c) [?] Sid Sackson
The game is played on an empty 8x8 board:
|
This game can be played by 3 or 4 players. For this, Sid Sackson (in his great book A Gamut of Games) included another rule (that named the game itself) that when a player wants to exit the game, he says "Take it Away" . Then, only the others continue to play. When there is only one player left (called the patsy), and no more jumps are possible, the sum of the remaining stones are subtracted from the patsy score.
A similar game is Corner from Ravensburger.


The driver_sensors_types.h file contains sensor state structs and error definitions.
More...
#include <stdint.h>
Go to the source code of this file.
|
|
#define | SENSOR_MAX_REGISTER_COUNT 128 /* As per 7-Bit address. */ |
| |
| #define | __END_WRITE_DATA__ |
| |
| #define | __END_READ_DATA__ |
| |
| #define | __END_WRITE_CMD__ |
| |
|
|
typedef enum EWriteFlags | EWriteFlags_t |
| |
|
typedef void(* | registeridlefunction_t) (void *userParam) |
| | This is the register idle function type.
|
| |
|
| enum | EWriteFlags { WRITE_OVERWRITE = 0,
WRITE_MASK = 1
} |
| |
| enum | ESensorErrors {
SENSOR_ERROR_NONE = 0,
SENSOR_ERROR_INVALID_PARAM,
SENSOR_ERROR_BAD_ADDRESS,
SENSOR_ERROR_INIT,
SENSOR_ERROR_WRITE,
SENSOR_ERROR_READ
} |
| |
The driver_sensors_types.h file contains sensor state structs and error definitions.
◆ __END_READ_DATA__
| #define __END_READ_DATA__ |
Value: { \
.readFrom = 0xFFFF, .numBytes = 0 \
}
◆ __END_WRITE_CMD__
| #define __END_WRITE_CMD__ |
Value: { \
.writeTo = 0xFFFF, .numBytes = 0 \
}
◆ __END_WRITE_DATA__
| #define __END_WRITE_DATA__ |
Value: { \
.writeTo = 0xFFFF, .value = 0 \
}


You can call me Bayan, or B for short, and I make things happen, especially in games.
What I’m doing right now?
Things I'm interested in:
Games
- storytelling
- writing
- software
- learning
- memories
- emotions.
Things I care about:
Mental health
- education
- accessibility.
Things I think about:
Games as a medium to tell stories
- human relationships and connections
- how we express our feelings & emotions
- what's makes learning efficient.
Learn more about my:
Thoughts, goals, & reflections on my game dev career.
Views educations, games, AI, and & problems.
Job Will Hunting (2020 - )
A narrative-based slice-of-life character-driven game about the job hunting process, complexity of recruitment, and surviving through life’s unfair, unexpected hardships. This is the debut game project of my studio Blue Tango Street.
Proxi (2018 - 2019)
Worked with senior data scientist in NLP and AI research for Proxi, Will Wright’s next AI simulation game based on memories. Work involved creating emotions classifiers, building Proxi language models, and designing Proxi-to-player interactions through conversation.
Re:Search, A Campus Story (2017 - 2019)
An educational role-playing video game used as assignments for the online course "Introduction to Research", taught by Prof. Angelique Louie throughout UC campuses in spring 2018. I served the role of the game designer and the project manager, where I designed the concept for the game to match the learning goals of the class & maintain the game design document (GDD) while managing a team of 7 students (programmers, artists, writers, and composer) and guiding game development to align with the course objectives.
The Day I Opened The Fridge (2019)
A text-app simulator game attempting to highlight the difficulty & importance of communication in relationships.
Ranam (2017 - 2018)
Ranam is a mobile game application that teaches users to play songs with Oud and cultural instruments in a fun, engaging, and accessible way. Ranam offers an engaging game-like experience, where users follow the game’s steps with their instrument, and our application listens to their playing and provides them with instant feedback on their performance. I was a game developer intern from summer 2017 to launch on Mar 2018.
Shadow Pan (2016)
Shadow Pan is an expressive video game where the player solves mini mental health problems (specifically depression) through interactive conversations with animation characters. Each level the player will get to meet a different character, listen to their problems, interact with them, and give (write) them solutions or suggestions on how to fix it or how move on. Results can be shared with other players to learn about different approaches on how to deal with depression. I wrote, designed, and developed the game as a side personal project.
GOOPLAY (2011)
GOOPLAY is an educational video game I designed & developed in Scratch for researching the effectiveness of using video games for improving web-searching skills for kids ages 10-12. This project was part of my research project for Intel ISEF 2011 that won the first place in the social and behavioral category.
My Friends are amazing, talented, and incredible people and their work deserves to be shared.
Enjoy admiring their work!
I’m always down for coffee, always. If you want to grab coffee and chat about games, programming, data, writing, art, or even coffee, feel free to reach out! We can meet in real life or online :)
You can reach me at b.m.mashat [at] gmail [dot] com or on Twitter or book a meeting through Calendly.


Pentagon chief fires Navy secretary over Seal controversy
US Defence Secretary Mark Esper has fired the secretary of the Navy in connection with the controversy over a Seal whose case has been championed by President Donald Trump.A Pentagon spokesman said in a statement that Mr Esper has lost trust and confidence in Navy Secretary Richard Spencer “regarding his lack of candour” over conversations …
US Defence Secretary Mark Esper has fired the secretary of the Navy in connection with the controversy over a Seal whose case has been championed by President Donald Trump.
A Pentagon spokesman said in a statement that Mr Esper has lost trust and confidence in Navy Secretary Richard Spencer “regarding his lack of candour” over conversations with the White House involving the handling of the Seal case.
Spokesman Jonathan Hoffman says Mr Spencer submitted his resignation at Mr Esper’s request.
Mr Esper has also recommended to President Trump a replacement.


DescriptionA data structure is a particualr way of organizing data in a computer
so that it can be efficiently used. Data structures can implement one
or more abstrct data types(ADT),which specify the operations that can
be performed on a data structure and the computational complexity of
those operations.A data structure is a concrete implementation of the
specification provided by the ADT.References


| Table of Contents |
|
Installation Instructions
Revisions
Running the SRTE
Design Information
Additional Information
|


Run »
Get Permalink
Samples:
Julia set
Euler #1 - Multiples of 3 and 5
Euler #2 - Even Fibonacci numbers
Euler #4 - Largest palindrome product
Euler #6 - Sum square difference
Euler #7 - 10001st prime
« Load
Reference:
Prelude.sad
Language grammar
Sad-Script on GitHub


When dealing with data structures and manipulating containers filled with information, programmers and clients are often concerned with how efficient the program runs. Ideally, software utilizes algorithms and data structures that get the task done and perform smoothly without running up the memory and using loads of resources. We want inexpensive solutions that return consistently accurate solutions in the fastest amount of time that the program will allow. This category of inspection is known as Big O Notation.
Big O Notation is formally defined as the language used to articulate how long an algorithm takes to run. Its used to compare the efficiency of different approaches and solutions to problems. Big O is not usually evaluated with small numbers, but instead with exponentially large amount of data. Programs can be evaluated in both best case scenarios and worst case scenarios. Typically, the client will want to know how the program will work in the worst case scenario so that they can see how reliable the program is and how inefficient the program has the potential to run.
Big O takes a couple of factors into account when calculating its value. One of the most important, is the time it takes for the program to fully execute and return manipulated values from the data. It keeps track of how long it takes to execute the algorithm with a certain n number of elements usually in an array or another type of object container.
The best evaluation of Big O is when it is constant. The constant Big O is notated as "O(1)" and means that the algorithm is running in constant time and is extremely fast. Its as efficient as an algorithm can possibly be. After constant time, we then get O(logn) time, which from there it gets progressively worse until you're program is extremely inefficient.
| T-1 | T-2 | T-3 | T-4 | T-5 | T-6 | T-7 | T-8 |
| C-1 | C-3 | C-4 | C-5 | C-6 | C-7 | C-8 | C-9 |


Calculating Big O time complexity for SQL Server execution plans
We can specify how an algorithm scales with data size, by expressing its’ scalability as a mathematical formula. This is called “Big O notation”.
As far as measuring scalability goes, the 3 common weapons of choice are:
- Big Omega: a formula that defines best-case algorithm scalability
- Big O: a formula that defines worst-case algorithm scalability
- Big Theta: a formula that defines both worst-case & best-case algorithm scalability
Additionally, Big O is usually divided into 2 metrics:
- Time complexity: the worst-case time required for the algorithm to complete
- Space complexity: the worst-case space required for the algorithm to complete. This covers either persistent memory such as disk, or volatile memory such as RAM.
This post will run through Big O time complexity by analysing SQL Server execution plans.
Speaking of typing things, heres the first example now!:
CREATE DATABASE big_o;
GO
USE big_o;
GO
O(1)
In the context of database queries, O(1) means that 1 read is executed, regardless of the number of rows in a table. E.g.: seeking 1 row by using a predicate against an indexed column:
CREATE TABLE dbo.items (
id INT IDENTITY PRIMARY KEY
,val INT NOT NULL
);
GO
INSERT INTO dbo.items (val) VALUES (1);
GO 100
SELECT id, val
FROM dbo.items
WHERE id = 10
The sql above creates a 100-row table, then runs a query with a predicate that is usable against the implicit clustered index.
And we can verify the number of reads! The execution plan for this query identifies only 1 “Number of Rows Read”, even though this table has 100 rows.
Since the database engine only reads 1 row (regardless of the number of rows in the table), we can say that the worst-case performance for this query is O(1).
But what would happen if a table scan was done instead? SQL Server would have to read all rows in our table using an Index Scan operation (100 reads). And if the table had 200 rows, 200 reads would occur. If 400 rows, 400 reads would occur and so forth.
You know what? We can also express this kind of “scalability” as a math formula as well.
O(n)
A (non-seeked) table scan means that database engine goes to the first leaf node in the clustered binary tree index, then reads all the rows by advancing through all leaf nodes via the “next” pointer (which exists in each leaf node). This semantic is similar to reading a linked list from head to tail.
To execute a table scan on our table, we can do:
SELECT id, val
FROM dbo.items
This scan required reading all 100 rows. And you know what? If there was 1000 rows in the table, the scan would involve 1000 reads.
Since the number of reads is always equal to the number of rows in the table, we could say that # of reads = # of table rows
.
In other words: O(n)
O(2n)
If n
is the number of rows, then 2n
means that the number of reads required is twice the number of rows. This means a query on our 100-row table would have to involve 200 reads.
A common example of this is a self JOIN
, which is when you do a normal query, but then join to the same source table again. An easy way to visualize this operation is to just imagine 2 copies of 1 table, then visualizing a normal INNER JOIN
between them:
SELECT a.id, b.id
FROM dbo.items a JOIN dbo.items b ON a.id = b.id
Here, we scan all of our 100 rows, then JOIN
each row to itself.
- So the number of reads is 100 + 100
- … or 2 * 100
- … or 2 * (number of rows in our table)
- … or 2n
And as we can see, the execution plan verifies our idea. Both scan operations did 100 reads, therefore giving us 200 reads total, which is double the number of rows in our table.
O(n2)
If n is 100 rows, then n2 would be 10000 reads. The CROSS JOIN
logical operation takes the cartesian product of 2 tables, giving us a mooshy, tasty, salty goo.
SELECT 1
FROM dbo.items a CROSS JOIN dbo.items b
As we can see above, our database engine now scans our table twice, each one raking in 100 rows. Then they’re joined using a nested loop, giving us a total of 10,000 rows.
Now you may say, “wait a second, but thats 200 reads!”. Well, you are technically correct. But now we are dealing with JOIN
, which is an expensive operation relative to index scans.
When calculating Big O, you only care about the “meat” of the algorithm - the stuff that actually gobbles up alot of CPU/memory/time. Thus we discard RELATIVELY cheap operations
Comparing Index Scans to nested loop executions is like comparing oranges to apples. The amount of joining we have to do in-memory should be the main focus when calculating big O (rather than focusing on the scan read operations that pull disk pages into memory).
Hence, we will ignore the 200 reads (which are ignorable from a scalability calculation standpoint), and only care about the real “meat” - the number of inner loop executions that produced the cartesian product:
Furthermore, looking at the execution plan again, we wanna focus on “Actual Number of Rows” & “Number of executions”. The execution plan identifies that our INNER JOIN
operation executed once start-to-finish. This leaves us with the 10,000 inner loop operations to produce our cartestian product. So:
- 10000 inner loop operations
- …or 100 * 100
- …or 1002
Bonus example
To help hammer in the horrifying effects of quadratic scalability, heres another O(n2) example thats a little more… “real”. This example below uses a recursive CTE to print out all the nodes in a Perfect Binary Tree.

The 2 parts to focus on are:
- The Index Seek, which gets the root node of the tree. This is represented by the row we inserted with
is_root
set to1
- The Index Scan, which gets the remaining rows in the tree for our recursive CTE
Lets start with the Index Seek.
It will always be 1, assuming our table has at least 1 row. Since we are calculating Big O, we are therefore only interested in the worst case, and therefore we should assume there will be at least 1 row (would there even be a point of calculating big O that can only be reliably used for empty tables anyways?).
When calculating Big O, we ignore numeric constants. 1 is a constant number, so we ignore the “1 read” from the Index Seek operation
And now for the main course. The Index Scan has 49 “Number of Rows Read” & 6 “Actual Number of Rows”.
“Number of Rows Read” is the number of rows read from your storage medium, whereas “Actual Number of Rows” is the rows output by the plan operation. These numbers can differ in queries with predicates, which you can identify underneath the “Predicate” header
Again, since we only care about the “meat”, the “Number of Rows Returned” is of no interest to us, but the work REQUIRED to get those rows IS of interest to us. So this leaves us with the 49 “Number of Rows Read”.
- 49 rows read
- …or 7 * 7 rows read
- …or
# of nodes in tree
*# of nodes in tree
- …or
# of nodes in tree
squared - …or
n
squared - …or n2
Awesome work! We were able to calculate the worst-case time complexity for this algorithm, and express it as a convenient math formula - O(n2).
Our example table only had 49 rows. Imagine running this kind of unscalable algorithm with millions of rows! O(n2) algorithms are the truly the kinds of horrors the SQL devil injects into our dreams after we skip church.
Enough about the bad. Now to identify the kind of scalability we should be aiming for in our query tuning…
O(log n)
Logarithmic math operations (which in the context of Big O, is to the base of 2) are equivalent to square root operations. To put it simply, database queries that halve the amount of work required after each step, exhibit logarithmic scalability characteristics.
A common example is searching through some tree. Fortunately for us, the SQL Server optimizer is so good at it’s job that the execution plans it generates for recursive CTE’s & the HierarchyId data type often run better than O(log n)
.
So for maximum clarity, the example we will run through this time just recursively doubles a number. Essentially, we will have a recursive function that terminates when a INNER JOIN doesnt find the next value in our table.
For example, if we have a table with rows with values 1
, 2
, 4
& 8
, we start doubling from 1 & keep doing until we hit 8.

Firstly, lets rule out constants again. Since we always start with 1 row read (for tables with at least 1 row), we can ignore the Index Scan
operation that just retrieves 1 row for the anchor portion of our cte_scale
CTE.
Secondly, we are dealing with JOIN
s (in our recursive CTE), so we can rule out the Index Seek
operation (shown in the bottom-right of the pic). Its not used for a key lookup either, so its not really an expense when relatively compared to the JOIN
.
And now, the JOIN
operation. With our nested loop operation outputting 6 rows, we can identify that the nested loop ran 6 times. We can cross-verify this with our output of 1, 2, 4, 8, 16, 32, 64
. Ignoring the initial step (which will always be constant, as noted before), this gives us:
- 6 steps for our 64 row table
- …or log2(64)
- …or log2(rows in table)
- …or log2(n)
Oh yes, this is what dreams are made of. This is what true happiness feels like. I have tears of joy right now as we speak.
And this is the “end game” for your tuning - taking factorial/exponential/quadratic algorithms, and making them either O(1)
, O(n)
or O(log n)
.
So far we have covered:
- O(1), what dreams are made of
- O(log n), the king we love most
- O(n), not bad, but must be tolerated in most cases when you need alot of unpaginated data
- O(2n), an unscalable algorithm that makes you gag, but not puke your guts out
- O(n2), which is the most evil of all. To me, O(n2) is just as bad as exponential or factorial scalabilities, because these kinds of algorithms all just get terminated halfway through anyways, either by the user exiting, or by the server in order to open resources for other connections.
There is 1 more “common” Big O complexity that fits somewhere between O(2n)
and O(n2).
Its possible to get away with this kind of scalability, but sooner or later, they strike production from the shadows, and you’ll regret the day you slouched in your chair, lit a cigar & proclaimed yourself as the king of database tuning.
O(n log n)
This is like O(log n)
, but you run the algorithm n
times instead of just once.
Below is an example that extends our “keep squaring a number” example from before. But instead of running the recursive CTE for 1 anchor row, we run the whole algorithm for each table row.
To simplify this example to work with our previous example table (which was a small 64-row table), i’m:
- Limiting the run to 8 executions (i.e.: the 1st 8 rows) via a
TOP 8
- Limiting each execution to only recurse 3 times
This means the O(log n)
algorithm will run 8 times, with each execution doing 3 recursion steps.  So let’s weed out the constant 8 rows we use as our recursive CTE anchor.
Secondly, we only focus on the “meat” when calculating Big O. Relatively speaking, index seeks (that dont lead to key lookups) are cheap compared to nested INNER LOOP
operations.
Thirdly, we only care about the worst-case scenario when calculating Big O. The worst case for this algorithm is starting with “1”, because that starting point involves the most operations (1 will keep squaring until it hits the biggest value in our table - 64)
This leaves us with the nested loop operation, which outputs 24 rows (i.e.: the outer loop used an inner loop 24 times). So this means 24 executions (8 algorithm executions, multiplied by the 3 recursive steps occurring in each run).
Whilst we have put limits on our algorithm for demonstration sakes, we have to theoretically remove these limits in order to calculate Big O. The limits we applied were:
- A max number of algorithm executions limited to 8
- A max recursion step of 3 within each run
Theoretical asymptotic limits
With the limits removed, our table would realistically have a much larger max value (much larger than 64). From a pragmatic perspective, real-world tables usually have millions/billions of rows, so think about a max value of say… 100,000,000 instead of 64.
Additionally, the worst-case time-complexity for our algorithm is when the “keep squaring” operation starts from the smallest number (i.e.: 1).
So now we have an O(log n)
operation - the “recursive squaring” CTE, which is run for each row in the table - i.e.: n
times.
Therefore, the scalability (in the form of a math formula) is:
n
multiplied byO(log n)
- …or
n * log(n)
- …or
n log(n)
- …or
O(n log n)
The dangers of ignoring scalability
A characteristic of startup companies is that they start with a small amount of customers, which then (hopefully) grows over time.
Data growth + low detectability = danger
This means they start with a small amount of data, but then that data size grows significantly over time. And it KEEPS growing - in fact, there’s usually more data coming IN from customer use, than the number of rows going OUT (e.g.: archiving or permanent deletion).
But thats not the problem - the ACTUAL problem is that database stuff is expensive to fix - its a long process, sql is less malleable than UI or API code, and the most important queries (which run against the most data) are complex, because programmers need to continually trade understandability for performance to maintain uptime against the ever-increasing customer load.
This is a huge expense for a business.
And it doesnt help that everything runs fast with small datasets, therefore making these kinds of scalability issues fly under the radar, and make a surprise appearance in prod when the issue has already affected customers.
Conclusion
By making database operations scalable early in the development cycle (rather than later when its already in production), we can minimise the long-term business cost for our companies, as well as managing the technical debt for our software team.
You’d be surprised how much money, time & effort you save down the line, & all it takes is a couple of extra hours tuning execution plans.


The <template> element is one of the easiest ways to introduce reuseable components into your page. They sit unrendered in the DOM until called upon, at which point you can reuse it as many times as you'd like and even change the contents of it if desired.
Here we have a small template:
<template id="testTemplate">
<div class="testDiv">
Hello World
</div>
</template>
To get render it on the page, it just takes a little bit of JavaScript:
(This assumes you have a div somehere on the page with the id: destination)
var templateClone = document.getElementById("testTemplate");
var destination = document.getElementById("destination");
destination.appendChild(templateClone.content.cloneNode(true));
Now all you have to do to is tie this to some sort of event, for example an onclick as seen here: (View in CodePen)
As you find yourself using HTML templates more frequently, the need to have dynamic content is very common. This can be accomplished in a very similar manner to how modification of a standard element would be modified. It's typically easiest to do the modifications before you add the element to the page, unless you want to be dynamically generating an ID or selecting it from an array of like elements.
var templateClone = document.getElementById("testTemplate");
var destination = document.getElementById("destination");
var inputText = document.getElementById("exampleTwoText");
templateClone.content.querySelector(".testDiv").textContent = inputText.value;
destination.appendChild(templateClone.content.cloneNode(true));
For this example, just type anything you want to appear into the input box, and then hit the button to add the template: (View in CodePen)
That's all there is to it! The template element is a versatile tool with wide ranging applications. It's unfortunately lacking browser support from Internet Explorer, but all modern browsers support it even going back a number of versions. For the full list of browser support, check here.


Abel Sanchez and John R. Williams
How do we interpret the slope? What will be the predicted temperature rise in 100 years?


29 June 2007
The Ministry of Health in Viet Nam has confirmed two new human cases of influenza A(H5N1) virus infection, the first human cases to have been reported from Viet Nam since November 2005. Both cases have been confirmed by the National Institute of Hygiene and Epidemiology (NIHE) and by the WHO H5 Reference Laboratory, US Centers for Disease Control and Prevention (CDC).
The first case is a 29 year old male from Vinh Phuc Province. He developed symptoms on 10 May some days after slaughtering poultry for a wedding. He was admitted to hospital on 15 May and was discharged on 11 June.
 He developed symptoms on 20 May following exposure to poultry at a slaughter house. He was admitted to hospital on 25 May and remains in hospital in a stable condition.
To date, there has been no evidence of an epidemiological link between the human cases, and no evidence of infection in close contacts of the cases.
These human cases have coincided with a large number of new poultry outbreaks of highly pathogenic avian influenza reported in Viet Nam during May and June this year.


US Dollar Index Technical Analysis: DXY ends the week at five-day lows, near 98.00 handle
by Flavio Tosti- DXY this week started to correct the early November advance.
- The next key supports are seen at the 97.80 and 97.50 levels.
DXY weekly chart
DXY (US Dollar Index) retreated slightly this week as the Index is trading above its main weekly simple moving averages in a bull channel.
DXY daily chart
DXY (US Dollar Index) is trading in a bull trend above the 200-day simple moving average (DMA). This Friday the buck dropped to its lowest in five-days near the 100 DMA located at 98.02.
DXY 4-hour chart
DXY is correcting down below its 50 and 200 SMAs, suggesting a bearish bias in the medium term. The market is trying to break below the 98.00 handle. Next week if there is bearish follow-through, the market might continue to decline towards the 97.80 support level. If that support fails to hold prices, then 97.50 can be on the cards.
Additional key levels
Dollar Index Spot
| Overview | |
|---|---|
| Today last price | 97.98 |
| Today Daily Change | -0.18 |
| Today Daily Change % | -0.18 |
| Today daily open | 98.16 |
| Trends | |
|---|---|
| Daily SMA20 | 97.77 |
| Daily SMA50 | 98.29 |
| Daily SMA100 | 98 |
| Daily SMA200 | 97.56 |
| Levels | |
|---|---|
| Previous Daily High | 98.42 |
| Previous Daily Low | 98.11 |
| Previous Weekly High | 98.4 |
| Previous Weekly Low | 97.17 |
| Previous Monthly High | 99.67 |
| Previous Monthly Low | 97.15 |
| Daily Fibonacci 38.2% | 98.23 |
| Daily Fibonacci 61.8% | 98.3 |
| Daily Pivot Point S1 | 98.04 |
| Daily Pivot Point S2 | 97.92 |
| Daily Pivot Point S3 | 97.73 |
| Daily Pivot Point R1 | 98.35 |
| Daily Pivot Point R2 | 98.54 |
| Daily Pivot Point R3 | 98.66 |


'They're not criminals': Vico Sotto backs arrested workers in labor strike
'These people are not criminals. They are fighting for what they believe to be just,' says Pasig City Mayor Vico Sotto in defending workers who held a strike against Regent Foods Corporation
by Rambo TalabongSubscribe
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-
8 bits on Hacker News
Hacker News is feed of news across the technology spectrum.  I am going to go through a few of those.
New Technology
- Usually you see a new platform or service posted. 90% of the time, they are worthy of notice.
You're Doing it Wrong
- Every few days you'll see there was a blog article posted. It will be a highly opinionated article about how someone or a company is doing it wrong. Which can definitely add perspective to a common belief.
New Releases
- If something new and amazing comes out for an existing popular product, you'll usually see it on Hacker News. Whether that be good or bad.
Acquisitions
- When a major tech company has acquired another company. You'll see it within an hour or two on HN.
A Realization
- These usually contain a lengthy post about how someone just is not happy anymore or they are working to improve their life or business. I personally enjoy these articles the most.
ASK HN
- These are the common "ASK HN:" discussions. Usually about jobs and personal concerns that someone would like to discuss.
Startups
- These articles are focused on successful and unsuccessful startups.
 These are always fun to read and try.


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If you're looking for the final project requirements/details, you can find those here.
The Efficacy of Human Induced Pluripotent Stem Cells (hiPSCs) in Modeling Neurodegenerative Diseases: A Qualitative Review by Hayley Antczak
Sunlight and Mental Health: The Broader Effects of Sunlight Exposure by Lawrence Daniels
Prediction of Gestational Diabetes Mellitus with Machine Learning using Visceral Adipose Tissue Measurements by Aditi Deokar
n.t. by Jennifer Dodai
History Untold by Caitlin Hong
Hurricane Intensity, Infectious Disease, and Climate Change by Arrim Jung
Treating Parkinson’s Disease: Comparing the clinical effectiveness of deep brain stimulation and pramipexole by Hanna Khor
The Aging Immune System and COVID-19: How Does the Aging Immune System Exacerbate COVID-19 Cases? by Joon Han Kim
School District Messaging as a Medium of Healthcare for Latino Families by Madison Lee
The Individual vs. The Collective Whole: Balancing Digital Privacy with Public Health During the COVID-19 Global Pandemic by Caroline Parnell
The Long Term Effects of Melatonin Supplementation on Sleep by Ritam Saha
Vaccine Diplomacy and Deployment in Response to the COVID-19 Pandemic by Bharat Sanka
A Meta-Analysis on the Effect Gardening has on the Mental Health of the Population by Avijit Singh
Predictors of health service utilization rates among patients with eating disorders: a meta-analysis by Oviya Srihari
n.t. by Claire Swalding


This is just a test page... If you have cookies, you shouldn't be able to get at any of this or visit Google with this link or similar.


Before Change
In particular, test that the objects uploaded to the S3 bucket are encrypted.
data_path = os.path.join(DATA_DIR, "one_p_mnist", "mnist.pkl.gz")
pickle_args = {} if sys.version_info.major == 2 else {"encoding": "latin1"}
with gzip.open(data_path, "rb") as file_object:
train_set, _, _ = pickle.load(file_object, **pickle_args)
kmeans = KMeans(
role="SageMakerRole",
train_instance_count=1,
train_instance_type=cpu_instance_type,
After Change
k=10,
sagemaker_session=sagemaker_session,
)
record_set = kmeans.record_set(datasets.one_p_mnist()[0][:100], encrypt=True)
parsed_url = urlparse(record_set.s3_data)
s3_client = sagemaker_session.boto_session.client("s3")
head = s3_client.head_object(Bucket=parsed_url.netloc, Key=parsed_url.path.lstrip("/"))


I was 25 years old,I have been studying at Woosong University for three years. I live in Incheon and my major is programming. Woosong University. If you study in this University, you can have chance to make games like this.
The side Picture is my first Game.this game is running game what everyone can play easily.
This is tankattack game. In this game, you can play with another person. I study about photoncloud during make this game. In layman’s terms, photoncloud is like server.
Using Open API, You can find the current weather for your location.
This is the biggest project to me.This project was maked with four member.That project maked for the people who practice to drive car. If you play that game with VR device,You can actually feel like driving.
That's My Video.. Game Scenes. If you study in this University, you can have chance to make games like this.


Created pieces, intended to be more aesthetically pleasing than functional. Work involved the creation of sketches and the utilization of color and composition to develop art works, ready to be showcased in art galleries.
Created pieces, intended to be more aesthetically pleasing than functional. Work involved the creation of sketches and the utilization of color and composition to develop art works, ready to be showcased in art galleries.


Guards are methods that are run before the page navigation takes place and
that can stop the navigation from displaying a certain page.
Use the property guard: someMethod
to apply the guard. The method
takes 3 parameters: page, route, and callback. If the callback is called
the navigation takes place - otherwise it is stopped.
Optionally, you can compose guards for your routes, by adding an array as the guard parameter,
like: guard: [someMethod, anotherMethod, thirdMethod]
The guards are run in the
order they are supplied, and the route will only change when all your guard method callbacks have fired.
Use cases are login, validating steps in state machines, etc.
The reason the guard takes a callback as the third argument is simply because the guard might be asynchronous,
e.g., accessing a webserver for login details or asking if a valid shopping cart exists, etc.
You are not logged in. Check the checkbox and try again.

 This page is only accessible if the user is logged in. Logout

You are not logged in. Check the checkbox and try again.
 <form> Login <input type="checkbox" data-bind="checked: loggedIn"/>  </form>
where
loggedIn: ko.observable(false), isLoggedIn: function(page, route, callback) { if(viewModel.loggedIn()) { callback(); } else { window.location.href = "login"; } },


Ceara speaks the language of compassion
In the spotlight this week is Ceara Gallagher, head of the Northern Ireland office of the Royal College of Speech and Language Therapists (RCSLT NI), who took up her role in March
What was your first job?
My first job was in the South Eastern Trust in 1995. I worked as a paediatric speech and language therapist in community clinics. I worked with children and families to support their speech, language and communication needs.
What qualifications do you have?
I have a BSC Honours in Speech and Language Therapy and I am also a Quality Improvement Fellow.
What do you attribute your success to?
All that I have achieved in life is firstly due to my parents who raised me to be the best version of myself. I have also been very lucky in my career to have people around me who believed in me inside and outside of work. I am passionate about helping people with speech, language, communication and swallowing difficulties so this has driven me to be the best for them.
How would you describe yourself to someone who'd never met you?
I hope I come across as sincere, passionate and inclusive. I think people also see my fun side!
Who do you look up to in business?
I look up to businesses that are moral and ethical. Ultimately, I look up to the RCSLT as an organisation that puts people with communication and swallowing difficulties at the heart of all they do.
How do you get the best out of people who work for you?
Compassionate leadership drives me. I treat people with kindness and compassion and I also try to lead by example and live the qualities I would like to see. I believe that by championing my team's strengths we are all the better for it. Leadership is at all levels.
If you could change one thing about doing business in Northern Ireland, what would it be?
I would like to see more of a joined-up approach between statutory and non statutory organisations in tackling the big issues in health and social care. Everyone is acutely aware of the pressure HSC is under so we need to be creative and transformational in bringing forward solutions.
What website or app could you not do without?
The RCSLT website, it has a wealth of information for SLT staff and members of the public.
What was the last book you read?
Michelle Obama's 'Becoming'. I really enjoy reading inspirational books that will inspire me in my life.
What car do you drive?
A Skoda Yeti.
Tell us something interesting about yourself?
I also have my own business called The Ceara Grehan School. We support children with confidence and anxiety issues to become their best selves. We use music, performance, art, communication and mindfulness to enable this in a fun filled environment.
What's your greatest passion outside work and family?
Outside of my precious family with Steven my husband and our children Luca and Enzo, my biggest passion is singing. I have been a professional singer for over 20 years particularly in musical theatre.


From what I understand, emotional intelligence is the ability to acknowledge and be aware of how one’s emotions guide or cause reaction and the ability to regulate them. Whereas, IQ encompasses what we (as society) traditionally valued and defined as intelligence - logic, solving problems and understand/explain theory and/or concepts.
Of course my explanation of the above doesn’t include all that each is. I've picked out parts that resonate with me.
Emotional intelligence is important as it gives awareness and control to the person using it. It creates distance and acknowledgement between emotion/feeling and reaction so one does not have to equal the other. It allows for great understanding and inclusion of others' ideas and opinions by creating space to listen and absorb without the barrier of the sentiment that “I am right” brings.
Humans are at the end of the day emotional beings, to be able to regulate and/or understand our emotions and reactions means that we can better connect to ourselves and others around us.


Welcome to the openDMD Administrator page
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openDMD is abbreviation of open Distributed Motion Detection, a motion detection project for distributed multi-point monitoring.
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HERE ON EARTH A film review by Steve Rhodes Copyright 2000 Steve Rhodes RATING (0 TO ****): ***
Flash to filmmakers: Not all teenagers live their lives guzzling booze, trying to gross out each other with bathroom humor and attempting to outdo each other with sexual antics. Most teenagers show more maturity and good judgment than that with which you normally credit them. You don't have to hold their generation in ridicule in order to make a movie about them. Their emotions do not have to be parodied.
HERE ON EARTH focuses on a romance between two kids who've just graduated from high school. The chemistry between the two is real and touching, and director Mark Piznarski concentrates on the basics. The two young lovers are ecstatic just to be able to share a few kisses. In an era when movies have people hopping into bed on their first date, Piznarski has his actors work on the simple parts of affection, as they gently brush each others cheeks with the backs of their hands. And he has both of them spend significant amounts of time being pensive and thoughtful, an attribute rarely seen in movies, especially those featuring teens.
The story opens without much promise, looking like just another formulaic picture. The young members of a working-class, small northern town are at odds with the rich kids who attend the fancy prep school nearby. Two car loads of kids, one from each side of the tracks, get into trouble after they cause the local diner to go up in flames. The judge sentences the two drivers, Kelley and Jasper, to spend the summer helping to rebuild the diner.
Chris Klein (ELECTION) plays Kelley, the prep school's valedictorian. Kelley, the son of an absent, workaholic father and a now-dead mother, is an unhappy loner who suffers emotional constipation. Most of Klein's performance is quite nice, but his big scene in the greenhouse comes across surprisingly flat. As Chris's nemesis, Jasper, Josh Hartnett (THE VIRGIN SUICIDES) delivers a performance that is remarkably bland until it takes off smartly towards the end.
At the apex of a love triangle of sorts is Leelee Sobieski as Sam, short for Samantha. An up-and-coming actor, Sobieski got her breakthrough part as a young lover in DEEP IMPACT. Since then, she has done roles as diverse as Joan of Arc for television and the leader of the campus nerds in NEVER BEEN KISSED. Stanley Kubrick even showcased her in a small role in his last film, EYES WIDE SHUT. In HERE ON EARTH she literally makes the picture as she does most of the heavy lifting for the film's romance. Sam is a sweet and innocent girl with a tough underside. Sobieski's performance as Sam is so natural that she barely seems to be acting.
Jasper has always been Sam's best friend. They sort of fell into being lovers since they were comfortable with each other and used to hanging out together. In a small town, their relationship is more one of convenience than passion. When Kelley catches Sam's eye, she realizes for the first time what genuine infatuation is.
Kelley's father, played by veteran actor Stuart Wilson, figures his son will follow in his deal-making footsteps. This means that a small-town girl like Sam should have no place in Kelley's life. "This girl is just a distraction," he lectures his son. "That's what it is. You have much bigger things ahead of you." His father is full of such unwanted advice. "Keep your eyes forward on the important things," the father tells his son sternly. Important things to the father all involve making money with matters of the heart having no value whatsoever.
The movie works best when it keeps the focus on the lovers and away from the subplot of the town versus the school.
The poignant film with its slow and tender rhythms has delicately moving music to match. Some aspects of Michael Seitzman's script, such the diner's "Lover's Wall" and the character's penchant for quoting Robert Frost ("One could do worse than be a swinger of birches."), could be criticized as schmaltz. But, within the context of the romance, they end up being touching instead.
 But, surprise, it shows that such activities, even in relative moderation, can have negative consequences.
The story's tragic last act, which is hinted at early-on, adds dramatic tension and wraps up the drama with an emotional punch. Although effective, this story element makes it all too easy for cynical critics to write off the movie as mere soap opera, ignoring the honest romance that occupies the body of the movie.
So how do you shock a teen audience brought up on films like AMERICAN PIE? Our audience, chock full of teens, was aghast at the meadow scene in HERE ON EARTH. What was the action that caused our teens to cry out in shock? As a sign of love, Kelley leaned over and kissed the top of Sam's foot.
HERE ON EARTH runs 1:39. It is rated PG-13 for some sensuality and thematic elements and would be fine for kids around 9 and up. Given the film's romance angle and its pacing, kids under 13, however, will likely not be interested in it.
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Thank you everyone for coming out and supporting us for the Official Launch of the All New 2017 Volvo S90 at The Brick House in Wyckoff, NJ.
VIEW INVENTORY 2017 S90 REVIEW


Pep Guardiola backs Mikel Arteta to become a manager "sooner or later"
by Phil EganManchester City manager Pep Guardiola is hopeful his assistant Mikel Arteta will stay at the club amid reports Arteta could return to Arsenal.
Arteta, who played for Arsenal between 2011 and 2016, was linked with the Gunner's job when Arsene Wenger stepped down in 2018.
Unai Emery replaced Wenger but the Spaniard is under increasing pressure after failing to win any of his last six games.
Arteta has been linked with replacing Emery at the Emirates and Guardiola accepts there will always be interest in his assistant.
"Of course he will be a manager sooner or later. If I was in his position, as an assistant coach as young as he is, always we will have that.
"Now we are going to finish this season and in the future, I don’t know what is going to happen."
Guardiola was asked about Arteta being patient because of his age (37): "I would like honestly for him to stay with us as long as possible.
"But personal life is personal life. Professional desires are professional, each one. Everyone, not just me, are more than satisfied to have him here, but what will happen at the end of the season I don’t know."
Guardiola went on to explain why Arteta is in such demand: "He was an incredible player, normally the holding midfielders they have a vision to see what happens all on the pitch.  But I think the holding midfielder is an incredible lesson during your period as a football player to learn what happens.
"You don’t need to go to school, you read it, you learn it completely, and he was already so clever in that.
"He is an incredible human being and work ethic and works a lot. I said after a few months of working together, this guy will be a manager sooner or later. He is already a manager, he behaves as a manager, so that’s why we are satisfied to have him here."
Meanwhile, Guardiola has confirmed striker Sergio Aguero will be out "for a few weeks" with the thigh injury he sustained in Saturday's win against Chelsea.
Aguero has scored 13 goals in 16 games this season but is not expected to be fit for the Manchester derby on December 7.
Gabriel Jesus is set to start in Tuesday night's home game against Shakhtar Donetsk in the Champions League.


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Bill Hemmer to take over Shepard Smith's show on Fox News
by Mike BrestBill Hemmer will reportedly take over for Shepard Smith, who abruptly resigned from his show Shepard Smith Reporting in October. Hemmer will take over the 3 p.m. time slot, which was first reported by Mediaite.
Hemmer, one of the current hosts of America's Newsroom on Fox News, has hosted the show since its inception in 2007. He previously co-hosted the show with Megyn Kelly, Martha MacCallum, and Shannon Bream, all of whom ended up having their own shows later on.
Smith announced his resignation from the network on Oct. 11 at the end of his show. He had been at the network since its inception in 1996.
This is a developing story. Check back for updates.


{% load static %}
PS-Diary
PS-Diary
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|
cds
2.3.1
|
SplitListSet
traits
More...
#include <cds/container/details/split_list_base.h>
Public Types | |
| typedef michael_list_tag | ordered_list |
| typedef opt::none | ordered_list_traits |
| Public Types inherited from cds::intrusive::split_list::traits | |
| enum | { padding = cds::opt::cache_line_padding } |
| Padding; default is cache-line padding. | |
| typedef opt::none | hash |
| Hash function. More... | |
| typedef cds::algo::bit_reversal::lookup | bit_reversal |
| Bit reversal algorithm. More... | |
| typedef cds::atomicity::item_counter | item_counter |
| Item counter. More... | |
| typedef CDS_DEFAULT_ALLOCATOR | allocator |
| Bucket table allocator. More... | |
| typedef split_list::empty_stat | stat |
| Internal statistics (by default, disabled) More... | |
| typedef opt::v::relaxed_ordering | memory_model |
| C++ memory ordering model. More... | |
| typedef cds::backoff::Default | back_off |
| Back-off strategy. | |
| typedef FreeListImpl | free_list |
| Free-list of auxiliary nodes. More... | |
Additional Inherited Members | |
| Static Public Attributes inherited from cds::intrusive::split_list::traits | |
| static const bool | dynamic_bucket_table = true |
| What type of bucket table is used. More... | |
SplitListSet
traits
Selects appropriate ordered-list implementation for split-list. Supported types are:
michael_list_tag
- for MichaelList
lazy_list_tag
- for LazyList
iterable_list_tag
- for IterableList
Specifyes traits for selected ordered list type, default type:
michael_list_tag:
container::michael_list::traits
.lazy_list_tag:
container::lazy_list::traits
.iterable_list_tag:
container::iterable_list::traits
.If this type is opt::none
, the ordered list traits is combined with default ordered list traits and split-list traits.