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Nyzo string
A Nyzo string is an encoding used for data in the Nyzo system. The following types of data are supported.
Micropay
pay_
60a87f
several fields bundled to support 1st-generation Micropay
prefilled data
pre_
61a3bf
receiver identifier and sender-data field
private seed
key_
50e87f
32-byte (256-bit) seed for the private key for a Nyzo wallet
public identifier
id__
48dfff
32-byte (256-bit) public identifier for a Nyzo wallet
signature
sig_
6d243f
64-byte (512-bit) Ed25519 signature
transaction
tx__
720fff
full Nyzo transaction; supports all types of transactions
Nyzo strings are composed of the following fields.
prefix
3
one of the prefixes from the above table; denotes the type of Nyzo string
content length
1
a value from 0 to 255, inclusive, denoting the number of content bytes to follow
content
variable; minimum of 0, maximum of 255
the bytes encoding the object this string represents; the meaning varies by string type
checksum
variable; minimum of 4, maximum of 6
the first 4 to 6 bytes of the double SHA-256 of all preceding bytes of the string
When Nyzo strings are encoded, the checksum length is calculated to ensure that the number of bytes encoded by the
Nyzo string, including the checksum, is divisible by 3. When decoding, the checksum must be a minimum of 4 and a
maximum of 6 bytes long, but the total number of bytes represented by the Nyzo string is not required to be
divisible by 3. This means that a string encoded with a 6-byte checksum will still decode properly if either 1 or 2
bytes is dropped from the string before decoding.


Man has seizure, falls off bridge onto I-20 in West Monroe
by KNOEWEST MONROE, La. (KNOE) - In West Monroe, traffic came to a standstill on Thursday morning after an incident on Interstate 20.
It happened around 9:00 a.m. where Interstate 20 meets Thomas Road.
Police say a man was walking over the Thomas Road overpass when he had a seizure.
He fell off of the bridge onto grass in the median of I-20.
Traffic was stalled for a short time while first responders worked the scene.
The man was taken to Glenwood Regional Medical Center for his injuries.
He was not identified.


Belfast man left on life support after being hit by car shares remarkable weight loss
"I ended up in hospital with bleeds on the brain, a shattered right arm, shattered ribs, collapsed and punctured lungs, and a torn liver"
by Gareth FullertonA Belfast man who was left on life support after being hit by a car seven years ago has spoken of his incredible weight loss journey following the near-death experience.
Ben Rashbrook was left in a coma for four weeks after suffering serious injuries including bleeding on the brain after he was knocked off his bicycle in Dunmurry back in 2012.
He had a shattered right arm, broken ribs, collapsed and punctured lungs, a torn liver and lost the use of one of his kidneys, Belfast Live reports.
At one stage Ben says the doctors told his wife Joanne that they were considering switching off his life support as there was nothing more they could do for him.
"I ended up in a coma for a month after the incident, and I was in hospital for three months," Ben said.
"I don't remember anything about getting run over. I ended up in hospital with bleeds on the brain, a shattered right arm, shattered ribs, collapsed and punctured lungs, and a torn liver.
"I lost the use of both kidneys at the time but they were able to get one working again. I was on dialysis for six weeks but that kidney is now deteriorating and I am in stage three chronic kidney disease.
"I had been in a coma for two weeks when they told my wife that were going to start turning off the life support machines.
"She pleaded with them to give me three weeks, because it usually took me that long to shake off a cold.
"Thankfully, in the third week I started to respond.
"I came out of the coma, then they induced me into another one and brought me out again, to aid the recovery process.
"Eventually I got taken off life support."
Ben signed himself out of hospital after three months and started regular physiotherapy sessions to help get his strength up again.
He also attended regular reviews at Thompson House for the brain injury he sustained.
"I still go to Thompson House once a year for a review," Ben added. "It is just part of my long-term rehabilitation."
Ben's remarkable weight loss journey started three years after his accident.
The 41-year-old's weight ballooned from 11st to 17st from 2012 to 2015, prompting his kidney specialist to issue a health warning.
"It was November 2015 when my specialist said my weight was putting a lot of pressure on my kidney," Ben said.
"My specialist said my kidney was struggling and I had to do something about it. So that's when I decided to get in shape."
And that's when Ben's journey started.
He teamed up with personal trainer TJ McAteer who he initially trained with five days a week.
"I trained with TJ five days a week, mainly doing weights and building up my strength. I did some cardio as well," Ben said.
"I also trained the other two days on my own, chipping away at the weight and getting fitter. I also cleaned up my diet, eating whole foods.
"I eat things like turkey burgers, beef burgers, mince, rice and vegetables.
"I got down to 11st with TJ, and now I have built myself up to about 12-and-a-half stone.
"It's my way of life now."
Ben admits he is fortunate to be alive, but is determined to live his life to the fullest after almost dying seven years ago.
He has also recently opened his own supplement store R Supplements Ltd on the Glen Road in West Belfast.
"It gives me a purpose in life during the day, and then I have my training as well. And my family," the dad-of-three added.
"I am just so grateful for still being here, so I want to make the best of my life. I am very fortunate to be alive. I don't take my life for granted anymore, that's for sure.
"After what happened to me, it changes your mindset completely. I feel okay now. I am coping the best I can.
"I can't complain too much. I am still alive."
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Our Instagram account can be found here.
Personal trainer TJ McAteer of TJ Fit, who works in the physiotherapy department at the Ulster Hospital, said: "Ben's journey is remarkable when you consider what he and his family have been through.
"Losing six stone is an incredible achievement, especially for Ben who has come through so much over the past seven years.
"He has kept at the training and is a credit to himself and his family."


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Benchmark, Configure, Adopt
- - Compare apples-to-apples performance across service meshes.
- - Track your service mesh performance from release to release.
- - Understand behavioral differences between service meshes.
- - Track your application performance from version to version.


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Design • Development • Implement
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Design • Development • Implement


Richard Burrell
Unafffiliated
Retired, Self-Employed
BS Psychology and Marketing. MS Accounting, CPA
80211
The only organizations I participate in are the Colorado Mountain Club, Boy Scouts, Soccer and Lacrosse. For sports I coached for 18 seasons. Boy Scouts, I was a Den Leader for 3 years. And for CMC I was on the Adventure Travel Committee and led trips.
My wife, deceased since 2016, was affiliated with the Republican party and tried to include me in her activities. I am independent and remain unaffiliated. I do not contribute money to parties.
I was volunteering to coach at CityLax before COVID stopped the season. I also contribute my time to the Colorado Mountain Club as a Trip Leader.
This process is crucial. Providing citizen input is a rare opportunity. I feel I can be a fair voice and give back to the community that has given me so much. Additionally, in my work life I spent much time canvasing the State talking to large and small communities. Perhaps that experience can be of value to the commission.
In my work life we helped Colorado's destination promote tourism. Not everyone wants tourists. The discussion can get heated quickly. I found it helpful to contact leading parties prior to meetings and hearing their views beforehand. Asking them to suggest boundaries as we work toward common goals - economic development. Perhaps they didn't want ATVs, or pot smoking. It was also important to start them all off with concrete data. Having everyone show up with their own numbers was often counterproductive. While I'm not suggesting my experience will be the same for the commission, perhaps my scars can help find solutions.
I started my career as an auditor (CPA) only to discover what I really enjoyed working with data. Specifically, I loved how it could illuminate the path forward. Leading that effort built consensus, prioritized budgets, and clarified goals. Not sure how your information is stored, but I've worked with everything from stacks of paper to online databases that need SQL. Problem solving starts with the end in mind. Working backwards, define the process that will most efficiently and effectively produce that result. Flowcharting may help, particularly if a group is available to design the process. Each step on the process will dictate the resources, time, and skills needed to complete it. Often I have found solutions by contacting other groups facing the same challenges. Starting collaborations early can help avoid delays and groupthink conflicts.
Male


Last updated: November 9, 2017.
This is a simple guide to updating and rooting a Nexus device using Linux, and entirely open source tools.
This guide assumes you have unlocked your bootloader.
To update Android.
1. Download the latest factory image from Google.
Visit the Factory Images for Nexus and Pixel Devices page, locate your device, and download the latest update.
For this guide, I'm using a Nexus 6P.
As of updating this article, the latest version of Android for the Nexus 6P (angler) is 8.0.0 (OPR5.170623.011, Nov 2017).
The update will download as a ZIP file. Extract it.
2. Install ADB and Fastboot.
sudo apt update
sudo apt install adb fastboot
3. Update.
First, place your device into USB debugging mode via Settings > Developer options > Enable USB Debugging.
You may need to enable Developer options.
Move to your extracted ZIP archive.
cd ~/Downloads/angler-n2g47w
Start ADB and check for your device. A prompt will likely appear on your device seeking approval. Accept it.
sudo adb devices
Boot your device into fastboot mode.
sudo adb reboot-bootloader
Flash the updated bootloader.
sudo fastboot flash bootloader bootloader-angler-angler-03.77.img
sudo fastboot reboot-bootloader
Flash the updated radio.
sudo fastboot flash radio radio-angler-angler-03.84.img
sudo fastboot reboot-bootloader
Finally, update fully. This command will not wipe your device.
sudo fastboot update image-angler-opr5.170623.011.zip
Congratulations. Your device will reboot normally, with an updated firmware.
To root Android.
Traditionally, SuperSU by Chainfire has been used to root Android devices. SuperSU was recently sold to a third-party, and was never open source even under Chainfire.
In this guide, I'll be using Magisk - which is open source.
1. Download Magisk, and other, dependancies.
Download the Magisk flashable ZIP from here.
Download the Magisk Manager APK from here.
And, finally, download TWRP from here. This will be an IMG file.
Move these dependancies to your device, excluding TWRP.
2. Boot temporarily to TWRP.
sudo adb reboot-bootloader
sudo fastboot boot ~/Downloads/twrp-3.1.1-0-angler.img
On your device, select not to alter the system partition, and enter your device password/PIN code.
3. Flash Magisk.
In TWRP, select to flash a ZIP. Find the Magisk ZIP on your internal storage, and flash it normally.
Finally, reboot your device. Do not opt to install any TWRP app.
4. Install Magisk Manager.
Using a file manager, install the Magisk Manager APK.
Amaze File Manager is open source.
You should now have root access, managable via the Magisk Manager app.
I recommend uBlock Origin to protect against Disqus tracking and advertising.


--- layout: default title: Home ---
We believe strongly in helping families choose the right service options at an affordable price. Our traditional services offer families experiencing grief a choice on how they want to memorialize their loved one.
If your family has chosen cremation, we offer affordable services that help celebrate the life of your loved one while giving you several options for a public gathering, and a final resting place.
When searching for ways to personalize a funeral service, remember the moments you spent with the person and try to highlight the qualities that she or he are remembered for. Consider hobbies, subjects of interest and places where the person spent much of his or her time.
Many of us take our freedoms for granted, but our staff at WESTSIDE FUNERAL HOME proudly acknowledges the sacrifices made by those who have served our country through their patriotism, love of country and willingness to protect others.


Zend\Db\Sql is a SQL abstraction layer for building platform specific SQL queries via an object-oriented API. The end result of an Zend\Db\Sql object will be to either produce a Statement and Parameter container that represents the target query, or a full string that can be directly executed against the database platform. To achieve this, Zend\Db\Sql objects require a Zend\Db\Adapter\Adapter object in order to produce the desired results.
As there are four primary tasks associated with interacting with a database (from the DML, or Data Manipulation Language): selecting, inserting, updating and deleting. As such, there are four primary objects that developers can interact or building queries, Zend\Db\Sql\Select, Insert, Update and Delete.
Since these four tasks are so closely related, and generally used together within the same application, Zend\Db\Sql\Sql objects help you create them and produce the result you are attempting to achieve.
1 2 3 4 5 6 | use Zend\Db\Sql\Sql;
$sql = new Sql($adapter);
$select = $sql->select(); // @return Zend\Db\Sql\Select
$insert = $sql->insert(); // @return Zend\Db\Sql\Insert
$update = $sql->update(); // @return Zend\Db\Sql\Update
$delete = $sql->delete(); // @return Zend\Db\Sql\Delete
|
As a developer, you can now interact with these objects, as described in the sections below, to specialize each query. Once they have been populated with values, they are ready to either be prepared or executed.
To prepare (using a Select object):
1 2 3 4 5 6 7 8 | use Zend\Db\Sql\Sql;
$sql = new Sql($adapter);
$select = $sql->select();
$select->from('foo');
$select->where(array('id' => 2));
$statement = $sql->prepareStatementForSqlObject($select);
$results = $statement->execute();
|
To execute (using a Select object)
1 2 3 4 5 6 7 8 | use Zend\Db\Sql\Sql;
$sql = new Sql($adapter);
$select = $sql->select();
$select->from('foo');
$select->where(array('id' => 2));
$selectString = $sql->getSqlStringForSqlObject($select);
$results = $adapter->query($selectString, $adapter::QUERY_MODE_EXECUTE);
|
Zend\Db\Sql\Sql objects can also be bound to a particular table so that in getting a select, insert, update, or delete object, they are all primarily seeded with the same table when produced.
1 2 3 4 | use Zend\Db\Sql\Sql;
$sql = new Sql($adapter, 'foo');
$select = $sql->select();
$select->where(array('id' => 2)); // $select already has the from('foo') applied
|
Each of these objects implements the following (2) interfaces:
1 2 3 4 5 6 | interface PreparableSqlInterface {
public function prepareStatement(Adapter $adapter, StatementInterface $statement);
}
interface SqlInterface {
public function getSqlString(PlatformInterface $adapterPlatform = null);
}
|
These are the functions you can call to either produce (a) a prepared statement, or (b) a string to be executed.
Zend\Db\Sql\Select is an object who’s primary function is to present a unified API for building platform specific SQL SELECT queries. The class can be instantiated and consumed without Zend\Db\Sql\Sql:
1 2 3 4 | use Zend\Db\Sql\Select;
$select = new Select();
// or, to produce a $select bound to a specific table
$select = new Select('foo');
|
If a table is provided to the Select object, then from() cannot be called later to change the name of the table.
Once you have a valid Select object, the following API can be used to further specify various select statement parts:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | class Select extends AbstractSql implements SqlInterface, PreparableSqlInterface
{
const JOIN_INNER = 'inner';
const JOIN_OUTER = 'outer';
const JOIN_LEFT = 'left';
const JOIN_RIGHT = 'right';
const SQL_STAR = '*';
const ORDER_ASCENDING = 'ASC';
const ORDER_DESCENDING = 'DESC';
public $where; // @param Where $where
public function __construct($table = null);
public function from($table);
public function columns(array $columns, $prefixColumnsWithTable = true);
public function join($name, $on, $columns = self::SQL_STAR, $type = self::JOIN_INNER);
public function where($predicate, $combination = Predicate\PredicateSet::OP_AND);
public function group($group);
public function having($predicate, $combination = Predicate\PredicateSet::OP_AND);
public function order($order);
public function limit($limit);
public function offset($offset);
}
|
1 2 3 4 5 6 7 8 9 10 11 12 | // as a string:
$select->from('foo');
// as an array to specify an alias:
// produces SELECT "t".* FROM "table" AS "t"
$select->from(array('t' => 'table'));
// using a Sql\TableIdentifier:
// same output as above
$select->from(new TableIdentifier(array('t' => 'table')));
|
1 2 3 4 5 6 7 | // as array of names
$select->columns(array('foo', 'bar'));
// as an associative array with aliases as the keys:
// produces 'bar' AS 'foo', 'bax' AS 'baz'
$select->columns(array('foo' => 'bar', 'baz' => 'bax'));
|
1 2 3 4 5 6 7 8 9 10 | $select->join(
'foo', // table name
'id = bar.id', // expression to join on (will be quoted by platform object before insertion),
array('bar', 'baz'), // (optional) list of columns, same requirements as columns() above
$select::JOIN_OUTER // (optional), one of inner, outer, left, right also represented by constants in the API
);
$select->from(array('f' => 'foo')) // base table
->join(array('b' => 'bar'), // join table with alias
'f.foo_id = b.foo_id'); // join expression
|
The Zend\Db\Sql\Select object provides bit of flexibility as it regards to what kind of parameters are acceptable when calling where() or having(). The method signature is listed as:
1 2 3 4 5 6 7 8 | /**
* Create where clause
*
* @param Where|\Closure|string|array $predicate
* @param string $combination One of the OP_* constants from Predicate\PredicateSet
* @return Select
*/
public function where($predicate, $combination = Predicate\PredicateSet::OP_AND);
|
As you can see, there are a number of different ways to pass criteria to both having() and where().
If you provide a Zend\Db\Sql\Where object to where() or a Zend\Db\Sql\Having object to having(), the internal objects for Select will be replaced completely. When the where/having() is processed, this object will be iterated to produce the WHERE or HAVING section of the SELECT statement.
If you provide a Closure to where() or having(), this function will be called with the Select’s Where object as the only parameter. So the following is possible:
1 2 3 4 5 | $spec = function (Where $where) {
$where->like('username', 'ralph%');
};
$select->where($spec);
|
If you provide a string, this string will be used to instantiate a Zend\Db\Sql\Predicate\Expression object so that it’s contents will be applied as is. This means that there will be no quoting in the fragment provided.
Consider the following code:
1 2 | // SELECT "foo".* FROM "foo" WHERE x = 5
$select->from('foo')->where('x = 5');
|
If you provide an array who’s values are keyed by an integer, the value can either be a string that will be then used to build a Predicate\Expression or any object that implements Predicate\PredicateInterface. These objects are pushed onto the Where stack with the $combination provided.
Consider the following code:
1 2 | // SELECT "foo".* FROM "foo" WHERE x = 5 AND y = z
$select->from('foo')->where(array('x = 5', 'y = z'));
|
If you provide an array who’s values are keyed with a string, these values will be handled in the following:
Consider the following code:
1 2 3 4 5 6 | // SELECT "foo".* FROM "foo" WHERE "c1" IS NULL AND "c2" IN (?, ?, ?) AND "c3" IS NOT NULL
$select->from('foo')->where(array(
'c1' => null,
'c2' => array(1, 2, 3),
new \Zend\Db\Sql\Predicate\IsNotNull('c3')
));
|
1 2 3 4 5 6 7 8 9 | $select = new Select;
$select->order('id DESC'); // produces 'id' DESC
$select = new Select;
$select->order('id DESC')
->order('name ASC, age DESC'); // produces 'id' DESC, 'name' ASC, 'age' DESC
$select = new Select;
$select->order(array('name ASC', 'age DESC')); // produces 'name' ASC, 'age' DESC
|
1 2 3 | $select = new Select;
$select->limit(5); // always takes an integer/numeric
$select->offset(10); // similarly takes an integer/numeric
|
The Insert API:
1 2 3 4 5 6 7 8 9 10 | class Insert implements SqlInterface, PreparableSqlInterface
{
const VALUES_MERGE = 'merge';
const VALUES_SET = 'set';
public function __construct($table = null);
public function into($table);
public function columns(array $columns);
public function values(array $values, $flag = self::VALUES_SET);
}
|
Similarly to Select objects, the table can be set at construction time or via into().
1 | $insert->columns(array('foo', 'bar')); // set the valid columns
|
1 2 3 4 5 6 | // default behavior of values is to set the values
// successive calls will not preserve values from previous calls
$insert->values(array(
'col_1' => 'value1',
'col_2' => 'value2'
));
|
1 2 | // merging values with previous calls
$insert->values(array('col_2' => 'value2'), $insert::VALUES_MERGE);
|
1 2 3 4 5 6 7 8 9 10 11 | class Update
{
const VALUES_MERGE = 'merge';
const VALUES_SET = 'set';
public $where; // @param Where $where
public function __construct($table = null);
public function table($table);
public function set(array $values, $flag = self::VALUES_SET);
public function where($predicate, $combination = Predicate\PredicateSet::OP_AND);
}
|
1 | $update->set(array('foo' => 'bar', 'baz' => 'bax'));
|
See where section below.
1 2 3 4 5 6 7 | class Delete
{
public $where; // @param Where $where
public function __construct($table = null);
public function from($table);
public function where($predicate, $combination = Predicate\PredicateSet::OP_AND);
}
|
See where section below.
In the following, we will talk about Where, Having is implies as being the same API.
Effectively, Where and Having extend from the same base object, a Predicate (and PredicateSet). All of the parts that make up a where or having that are and’ed or or’d together are called predicates. The full set of predicates is called a PredicateSet. This object set generally contains the values (and identifiers) separate from the fragment they belong to until the last possible moment when the statement is either used to be prepared (parameteritized), or executed. In parameterization, the parameters will be replaced with their proper placeholder (a named or positional parameter), and the values stored inside a Adapter\ParameterContainer. When executed, the values will be interpolated into the fragments they belong to and properly quoted.
It is important to know that in this API, a distinction is made between what elements are considered identifiers (TYPE_IDENTIFIER) and which of those is a value (TYPE_VALUE). There is also a special use case type for literal values (TYPE_LITERAL). These are all exposed via the Zend\Db\Sql\ExpressionInterface interface.
Note
In ZF 2.1, an actual Literal type was added. Zend\Db\Sql now makes the distinction that Literals will not have any parameters that need interpolating whereas it is expected that Expression objects might have parameters that need interpolating. In cases where there are parameters in an Expression, Zend\Db\Sql\AbstractSql will do its best to identify placeholders when the Expression is processed during statement creation. In short, if you don’t have parameters, use Literal objects.
The Zend\Db\Sql\Where (Predicate/PredicateSet) API:
1 2 3 4 5 6 7 8 9 10 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 | // Where & Having:
class Predicate extends PredicateSet
{
public $and;
public $or;
public $AND;
public $OR;
public $NEST;
public $UNNEST;
public function nest();
public function setUnnest(Predicate $predicate);
public function unnest();
public function equalTo($left, $right, $leftType = self::TYPE_IDENTIFIER, $rightType = self::TYPE_VALUE);
public function lessThan($left, $right, $leftType = self::TYPE_IDENTIFIER, $rightType = self::TYPE_VALUE);
public function greaterThan($left, $right, $leftType = self::TYPE_IDENTIFIER, $rightType = self::TYPE_VALUE);
public function lessThanOrEqualTo($left, $right, $leftType = self::TYPE_IDENTIFIER, $rightType = self::TYPE_VALUE);
public function greaterThanOrEqualTo($left, $right, $leftType = self::TYPE_IDENTIFIER, $rightType = self::TYPE_VALUE);
public function like($identifier, $like);
public function literal($literal);
public function expression($expression, $parameter);
public function isNull($identifier);
public function isNotNull($identifier);
public function in($identifier, array $valueSet = array());
public function between($identifier, $minValue, $maxValue);
// Inherited From PredicateSet
public function addPredicate(PredicateInterface $predicate, $combination = null);
public function getPredicates();
public function orPredicate(PredicateInterface $predicate);
public function andPredicate(PredicateInterface $predicate);
public function getExpressionData();
public function count();
}
|
Each method in the Where API will produce a corresponding Predicate object of a similarly named type, described below, with the full API of the object:
1 2 3 4 5 6 7 8 9 10 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 | $where->equalTo('id', 5);
// same as the following workflow
$where->addPredicate(
new Predicate\Operator($left, Operator::OPERATOR_EQUAL_TO, $right, $leftType, $rightType)
);
class Operator implements PredicateInterface
{
const OPERATOR_EQUAL_TO = '=';
const OP_EQ = '=';
const OPERATOR_NOT_EQUAL_TO = '!=';
const OP_NE = '!=';
const OPERATOR_LESS_THAN = '<';
const OP_LT = '<';
const OPERATOR_LESS_THAN_OR_EQUAL_TO = '<=';
const OP_LTE = '<=';
const OPERATOR_GREATER_THAN = '>';
const OP_GT = '>';
const OPERATOR_GREATER_THAN_OR_EQUAL_TO = '>=';
const OP_GTE = '>=';
public function __construct($left = null, $operator = self::OPERATOR_EQUAL_TO, $right = null, $leftType = self::TYPE_IDENTIFIER, $rightType = self::TYPE_VALUE);
public function setLeft($left);
public function getLeft();
public function setLeftType($type);
public function getLeftType();
public function setOperator($operator);
public function getOperator();
public function setRight($value);
public function getRight();
public function setRightType($type);
public function getRightType();
public function getExpressionData();
}
|
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | $where->like($identifier, $like):
// same as
$where->addPredicate(
new Predicate\Like($identifier, $like)
);
// full API
class Like implements PredicateInterface
{
public function __construct($identifier = null, $like = null);
public function setIdentifier($identifier);
public function getIdentifier();
public function setLike($like);
public function getLike();
}
|
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | $where->literal($literal);
// same as
$where->addPredicate(
new Predicate\Literal($literal)
);
// full API
class Literal implements ExpressionInterface, PredicateInterface
{
const PLACEHOLDER = '?';
public function __construct($literal = '');
public function setLiteral($literal);
public function getLiteral();
}
|
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | $where->expression($expression, $parameter);
// same as
$where->addPredicate(
new Predicate\Expression($expression, $parameter)
);
// full API
class Expression implements ExpressionInterface, PredicateInterface
{
const PLACEHOLDER = '?';
public function __construct($expression = null, $valueParameter = null /*[, $valueParameter, ... ]*/);
public function setExpression($expression);
public function getExpression();
public function setParameters($parameters);
public function getParameters();
public function setTypes(array $types);
public function getTypes();
}
|
1 2 3 4 5 6 7 8 9 10 11 12 13 14 | $where->isNull($identifier);
// same as
$where->addPredicate(
new Predicate\IsNull($identifier)
);
// full API
class IsNull implements PredicateInterface
{
public function __construct($identifier = null);
public function setIdentifier($identifier);
public function getIdentifier();
}
|
1 2 3 4 5 6 7 8 9 10 11 12 13 14 | $where->isNotNull($identifier);
// same as
$where->addPredicate(
new Predicate\IsNotNull($identifier)
);
// full API
class IsNotNull implements PredicateInterface
{
public function __construct($identifier = null);
public function setIdentifier($identifier);
public function getIdentifier();
}
|
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | $where->in($identifier, array $valueSet = array());
// same as
$where->addPredicate(
new Predicate\In($identifier, $valueSet)
);
// full API
class In implements PredicateInterface
{
public function __construct($identifier = null, array $valueSet = array());
public function setIdentifier($identifier);
public function getIdentifier();
public function setValueSet(array $valueSet);
public function getValueSet();
}
|
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | $where->between($identifier, $minValue, $maxValue);
// same as
$where->addPredicate(
new Predicate\Between($identifier, $minValue, $maxValue)
);
// full API
class Between implements PredicateInterface
{
public function __construct($identifier = null, $minValue = null, $maxValue = null);
public function setIdentifier($identifier);
public function getIdentifier();
public function setMinValue($minValue);
public function getMinValue();
public function setMaxValue($maxValue);
public function getMaxValue();
public function setSpecification($specification);
}
|
The source code of this file is hosted on GitHub. Everyone can update and fix errors in this document with few clicks - no downloads needed.


Show the seconds animation indicating progress to the next minute. On Pebble Time Round this will slowly empty the outer ring. On OG Pebble and Pebble Time this will slowly fill up the outer border.
Change the color scheme of the watchface.


Emotional intelligence is a skill that can be learnt and improved upon. It is made up of two parts - You, and Others.
The skill involves 1) being able to understand and manage your own emotions, and 2) read the emotions of others and respond to them accordingly.
In short, it means being a 'people person' to others and to yourself.
A person with a high IQ may be good at tech, or a master of their craft, but if they arent able to work well with others or manage their own emotions, they are very limited and will not grow as much as someone who might be sub-par in tech but great with emotional Intelligence.
IQ is knowing stuff - EQ is knowing people
The people: Almost all work requires some type of communication and collaboration with others, so it is very necessary that we learn to develop this skill because people will be a big part of our work.
we will be better at leadership, encouragement and resolving conflicts between the people we work with.
Own Wellbeing: To be good at our work, we need our minds, and if our minds in a bad state, the quality of our work will deteriorate as time goes on.
we can calm ourselves when unpleasant feelings arise
we will be able to Have better relationships because we are able to connect more
we can be emotionally stronger and less reactive when something doesnt go our way or someone says something we dont agree with.


```js run demo let userName = prompt(“Who’s there?”, ’’);
if (userName === ‘Admin’) {
let pass = prompt(‘Password?’, ’’);
if (pass === ‘TheMaster’) { alert( ‘Welcome!’ ); } else if (pass === ’’ || pass === null) { alert( ‘Canceled’ ); } else { alert( ‘Wrong password’ ); }
} else if (userName === ’’ || userName === null) { alert( ‘Canceled’ ); } else { alert( “I don’t know you” ); } ```
Note the vertical indents inside the if
blocks. They are technically not required, but make the code more readable.


Payment |
data class Payment : Serializable |
PaymentApp |
enum class PaymentApp |
TransactionDetails |
data class TransactionDetails |
TransactionStatus |
enum class TransactionStatus |


{% for post in posts %}
"{{ comment.comment }}" @{{ comment.author.username }} at {{ comment.created_at|date:"fa l jS M Y" }}
"{{ comment.comment }}"
Add Comment
"{{ comment.comment }}"
@{{ comment.author.username }} at {{ comment.created_at|date:"fa l jS M Y" }}


Lenny is a co-founder of McKinsey’s Public Sector Practice and a director (senior partner) in the Washington DC and San Francisco offices. He works with state and local governments and is part of the leadership team of the McKinsey Center for Government. Lenny led the Firm’s knowledge development efforts overseeing the McKinsey Global Institute and the Firm's communications, which includes the McKinsey Quarterly, and has served for a decade on the McKinsey Shareholder Council (its board of directors). Since joining McKinsey in 1983, he has helped numerous public-sector, nonprofit, and corporate clients address their most complex management challenges.
Lenny’s areas of expertise include globalization, corporate social responsibility, economic development, regulation, and education. Among other projects, he supported a government agency as it prepared to implement a major piece of legislation; this work included the creation of tracking and reporting tools, the formation of cross-agency teams to facilitate dialogue, and the design of a senior-level organizational structure for managing implementation. Lenny also recently helped an environmental nonprofit group create a five-year corporate strategy and a corresponding six-month work plan and assisted a hospital chain in implementing a large-scale lean transformation program.
Lenny holds an MBA and certificate in public management from Stanford Graduate School of Business. He holds an AB, magna cum laude, in economics from Harvard University. Lenny serves on the boards of several nonprofit organizations and business councils.
He is the Chairman Emeritus of the Bay Area Council and the Economic Institute of the Bay Area, and was vice-chair of the Stanford Graduate School of Business Advisory Council. He serves on the boards of The New America Foundation, The Committee for Economic Development, Common Cause, California Forward, the Bay Area Science and Innovation Consortium, and The California Business for Educational Excellence Foundation, and he is Chairman of ChildenNow. He is a member of the Council on Foreign Relations and founder and chairman of Fuse Corps.


--- title: "Contact" description: "Have questions?, Email me." header-img: "assets/img/header/contact.jpg" ---


Before Change
return result
def _augment_keypoints(self, keypoints_on_images, random_state, parents, hooks):
if hooks is None or hooks.is_propagating(keypoints_on_images, augmenter=self, parents=parents, default=True):
interpolations, _, _ = self._draw_samples(len(keypoints_on_images), random_state)
input_shapes = [kpsoi_i.shape for kpsoi_i in keypoints_on_images]
After Change
def _augment_keypoints(self, keypoints_on_images, random_state, parents,
hooks):
if self._is_propagating(keypoints_on_images, parents, hooks):
interpolations, _, _ = self._draw_samples(
len(keypoints_on_images), random_state)
input_shapes = [kpsoi_i.shape for kpsoi_i in keypoints_on_images]


{% extends "petitions/interviews/interviewsummary_list.html" %} {% block replacedatefilter%} {%endblock%} {% block interviewtableheader %}
This table shows all the petitioners who have been interviewed across all the prisons and have been recommended for release . You can search using any criteria
{% endblock %}


This page describes some points of XPath rule support in more details. See also the tutorial about how to write an XPath rule.
XPath version
PMD supports three XPath versions for now: 1.0, 2.0, and 1.0 compatibility mode.
The version can be specified with the version
property in the rule definition, like so:
<property version="2.0" /> <!-- or "1.0", or "1.0 compatibility" -->
The default has always been version 1.0.
As of PMD version 6.22.0, XPath versions 1.0 and the 1.0 compatibility mode are deprecated. XPath 2.0 is superior in many ways, for example for its support for type checking, sequence values, or quantified expressions. For a detailed but approachable review of the features of XPath 2.0 and above, see the Saxon documentation.
It is recommended that you migrate to 2.0 before 7.0.0, but we expect to be able to provide an automatic migration tool when releasing 7.0.0. See the migration guide below.
DOM representation of ASTs
XPath rules view the AST as an XML-like DOM, which is what the XPath language is defined on. Concretely, this means:
- Every AST node is viewed as an XML element
- The element has for local name the value of
getXPathNodeName
for the given node
- The element has for local name the value of
- Some Java getters are exposed as XML attributes on those elements
- This means, that documentation for attributes can be found in our Javadocs. For
example, the attribute
@SimpleName
of the Java nodeEnumDeclaration
is backed by the Java gettergetSimpleName
.
- This means, that documentation for attributes can be found in our Javadocs. For
example, the attribute
Value conversion
To represent attributes, we must map Java values to XPath Data Model (XDM) values. The conversion depends on the XPath version used.
XPath 1.0
On XPath 1.0 we map every Java value to an xs:string
value by using the toString
of the object. Since XPath 1.0 allows many implicit conversions this works, but it
causes some incompatibilities with XPath 2.0 (see the section about migration further
down).
XPath 2.0
XPath 2.0 is a strongly typed language, and so we use more precise type annotations.
In the following table we refer to the type conversion function as conv
, a
function from Java types to XDM types.
Java type T |
XSD type conv(T) |
|---|---|
int |
xs:integer |
long |
xs:integer |
double |
xs:decimal |
float |
xs:decimal |
boolean |
xs:boolean |
String |
xs:string |
Character |
xs:string |
Enum<E> |
xs:string (uses Object::toString ) |
List<E> |
conv(E)* (a sequence type) ⚠ List support is deprecated with 6.25.0. See below. |
The same conv
function is used to translate rule property values to XDM values.
List<E>
has been deprecated
with PMD 6.25.0 and will be removed completely with PMD 7. The reason is that newer Saxon
versions don’t support sequences as attributes anymore. Lists are still possible in Java-based
rules but not with XPath.
Multivalued rule properties
are still supported.Migrating from 1.0 to 2.0
XPath 1.0 and 2.0 have some incompatibilities. The XPath 2.0 specification describes them precisely. Those are however mostly corner cases and XPath rules usually don’t feature any of them.
The incompatibilities that are most relevant to migrating your rules are not caused by the specification, but by the different engines we use to run XPath 1.0 and 2.0 queries. Here’s a list of known incompatibilities:
- The namespace prefixes
fn:
andstring:
should not be mentioned explicitly. In XPath 2.0 mode, the engine will complain about an undeclared namespace, but the functions are in the default namespace. Removing the namespace prefixes fixes it.fn:substring("Foo", 1)
→substring("Foo", 1)
- Conversely, calls to custom PMD functions like
typeIs
must be prefixed with the namespace of the declaring module (pmd-java
).typeIs("Foo")
→pmd-java:typeIs("Foo")
- Boolean attribute values on our 1.0 engine are represented as the string values
"true"
and"false"
. In 2.0 mode though, boolean values are truly represented as boolean values, which in XPath may only be obtained through the functionstrue()
andfalse()
. If your XPath 1.0 rule tests an attribute like@Private="true"
, then it just needs to be changed to@Private=true()
when migrating. A type error will warn you that you must update the comparison. More is explained on issue #1244."true"
,'true'
→true()
"false"
,'false'
→false()
- In XPath 1.0, comparing a number to a string coerces the string to a number.
In XPath 2.0, a type error occurs. Like for boolean values, numeric values are
represented by our 1.0 implementation as strings, meaning that
@BeginLine > "1"
worked —that’s not the case in 2.0 mode.@ArgumentCount > '1'
→@ArgumentCount > 1
Rule properties
PMD extension functions
PMD provides some language-specific XPath functions to access semantic information from the AST.
On XPath 2.0, the namespace of custom PMD function must be explicitly mentioned.
Java
Java functions are in the namespace pmd-java
.
| Function name | Description (click for details) | ||
|---|---|---|---|
| typeIs | Tests a node's static type | ||
pmd-java:typeIs(xs:string) as xs:boolean
|
|||
| typeIsExactly | Tests a node's static type, ignoring subtypes | ||
pmd-java:typeIsExactly(xs:string) as xs:boolean
|
|||
| metric | Computes and returns the value of a metric | ||
pmd-java:metric(xs:string) as xs:decimal?
|
typeOf
function which is
deprecated and whose usages should be replaced with uses of typeIs
or
typeIsExactly
. That one will be removed with PMD 7.0.0.


The personal email addresses of nearly 100 people have been exposed by Yarra Trams in yet another data breach involving Victorian commuters.
In an email from a Yarra Trams officer to 91 commuters rejecting their compensation requests on Friday, the private email addresses of each of the commuters was exposed.The email was sent about 3pm and was followed up by another message 15 minutes later, in which the company attempted to recall the email but instead sent another note exposing the list of private addresses.
One commuter, who requested to be known only as John, said he was furious that his private details had been exposed against his will.
"I'm very disappointed that Yarra Trams was releasing my personal information," John said.
"Yarra Trams had got a privacy policy which they're obviously not following and that information was shared with a large number of other members of the public."
Some commuters were entitled to claim a free trip after Yarra Trams failed to deliver enough of its scheduled services in December last year.
Any tram passenger with a myki pass for 28 days or more and who touched on at least 10 times in December was eligible for compensation.
However, 91 of the commuters who applied for compensation were found to be ineligible.
Public Transport Users Association spokesman Daniel Bowen said transport operators must "take the utmost care with private data such as email addresses".
"This breach shows they need to review their procedures and staff training to ensure a similar mistake does not happen again. "It also raises the question of why passengers need to apply for compensation in the first place. Myki data is used to verify the eligibility of those who apply – it should be used to proactively pay compensation to all eligible passengers."
It comes months after Public Transport Victoria and the Department of Premier and Cabinet gave a hacking and data science conference unfettered access to travel data stored on about 15 million myki cards used in the three years to June 2018.
The 1.8 billion "touch-on" and "touch-off" events on the cards included information about a commuter's route and stop number and the specific train they were on.The Office of the Victorian Information Commissioner released a stinging report on the extraordinary breach last year.
A Yarra Trams spokesman confirmed an employee had exposed the email addresses of those who had their compensation claims rejected.
"Yarra Trams would like to apologise to everyone who received the email regarding unsuccessful compensation claims," the spokesman said. "We will be putting in place more thorough checks and balances to ensure this does not happen again."
A spokeswoman for the Victorian Information Commissioner said the office had not yet been contacted by Yarra Trams or those affected by the breach.


Modified Date: {{ theChoosenFile.ModifiedDate }}
Modified By: {{ theChoosenFile.ModifiedBy }}
Created By: {{ theChoosenFile.CreateBy }}
Created Date: {{ theChoosenFile.CreateDate }}


Color Space Convertor<
Information
| Type: | Color Space Convertor< |
| Vendor: | GOWIN Semiconductor |
| Summary: | Color Space Convertors(CSC) are used to convert signals from one color space to another color space, which can be used in video and image display systems. The Color Space Convertor supports a number of predefined conversions between standard color spaces, and allows the entry of custom coefficients to translate between any two three-valued color spaces. |
Options
| Option | Description |
|---|---|
| Color Model | The conversion model of two color space. SDTV Studio RGB to YCbCr SDTV Computer RGB to YCbCr SDTV YCbCr to Studio RGB SDTV YCbCr to Computer RGB HDTV Studio RGB to YCbCr HDTV Computer RGB to YCbCr HDTV YCbCr to Studio RGB HDTV YCbCr to Computer RGB Computer RGB to YUV YUV to Computer RGB Computer RGB to YIQ YIQ to Computer RGB Custom |
| A0 | The coefficient of the conversion formula. |
| B0 | The coefficient of the conversion formula. |
| C0 | The coefficient of the conversion formula. |
| A1 | The coefficient of the conversion formula. |
| B1 | The coefficient of the conversion formula. |
| C1 | The coefficient of the conversion formula. |
| A2 | The coefficient of the conversion formula. |
| B2 | The coefficient of the conversion formula. |
| C2 | The coefficient of the conversion formula. |
| S0 | The coefficient of the conversion formula. |
| S1 | The coefficient of the conversion formula. |
| S2 | The coefficient of the conversion formula. |
| Coefficient Width | The bit width of the coefficients. |
| Din0 Data Type | The data type of din0. Signed:Signed data, the MSB is sign bit Unsigned:Unsigned data |
| Din1 Data Type | The data type of din1. Signed:Signed data, the MSB is sign bit Unsigned:Unsigned data |
| Din2 Data Type | The data type of din2. Signed:Signed data, the MSB is sign bit Unsigned:Unsigned data |
| Input Data Width | The bit width of Input Data. |
| Dout0 Data Type | The data type of dout0. Signed:Signed data, the MSB is sign bit Unsigned:Unsigned data |
| Dout1 Data Type | The data type of dout1. Signed:Signed data, the MSB is sign bit Unsigned:Unsigned data |
| Dout2 Data Type | The data type of dout2. Signed:Signed data, the MSB is sign bit Unsigned:Unsigned data |
| Output Data Width | The bit width of Output Data. |
| Dout0 Max Value | The maximum value of dout0. |
| Dout0 Min Value | The minimum value of dout0. |
| Dout1 Max Value | The maximum value of dout1. |
| Dout1 Min Value | The minimum value of dout1. |
| Dout2 Max Value | The maximum value of dout2. |
| Dout2 Min Value | The minimum value of dout2. |


vmmouse_detect
Section: User Commands (1)Updated: xf86-input-vmmouse 12.7.0
Index Return to Main Contents
NAME
vmmouse_detect - VMware mouse device autodetection toolSYNOPSIS
vmmouse_detectOPTIONS
vmmouse_detect has no optionsDESCRIPTION
vmmouse_detect is a tool for detecting if running in a VMware environment where vmmouse is used. It exits with a 0 return value if the vmmouse client is enabled, and 1 if not.DIAGNOSTICS
vmmouse_detect's exit status is used to communicate information.- 0
- vmmouse_detect found a mouse and exited normally.
- 1
- Either the vmmouse client was not enabled, or it is not being run from within a VMware virtual machine.
BUGS
Please report bugs in vmmouse_detect <https://bugs.launchpad.net/ubuntu/+source/mdetect/vmmouse_detect>.AUTHORS
vmmouse_detect is copyright 2007 VMware, Inc.LICENSING
The vmmouse_detect source code is licensed under a BSD-like license. See COPYING for details.This manual page is licensed under the GNU General Public License.
SEE ALSO
mdetect(1), XFree86(1)
Index
This document was created by man2html, using the manual pages.
Time: 05:29:12 GMT, December 24, 2015


--- layout: post title: Blueprint update - Configuration Groups date: 2015-02-04 11:22:36.000000000 -06:00 type: post parent_id: '0' published: true password: '' status: publish categories: - FOSS tags: - openstack - opw - trove meta: _edit_last: '1' _oembed_2ae8739e62d6a122976bc5a6cbdf0e10: "{{unknown}}" _oembed_e660aedcb2989c49647f193c14b5268f: "{{unknown}}" _oembed_aa921018c4227971718c5098222238c9: "{{unknown}}" author: login: admin email<EMAIL_ADDRESS>display_name: Anna first_name: '' last_name: '' permalink: "/blueprint-update-configuration-groups/" ---
So work on the blueprint has been kind of slow lately since I had to disappear for a while.
Some things brought up in the last blueprint meeting dealt with:
A configuration group is a collection of settings that can be saved and applied to one or more instances in Cloud Databases.
And a single setting or option for that datastore is known as a parameter.
A few of the log related parameters are:
slow_query_log
- Enable or disable slow query log
general_log
- Enable or disable general log
log_error
- Set the location of the error log
log_warnings
- Enable or disable writing additional warning messages to the error log
log_bin
- Binary logs
Some of these variables are static so a restart is required before the changes can take effect.
But of course this only works if the datastore supports configuration groups, have to figure out something else for the ones that don't.


Our intention is to connect people around the world through a free Meeting and Chatting Client. Using IRC and using the web, we can make a meeting client faster than other clients like Zoom.
This chatting client is always free, most meeting clients will require you to pay again after COVID-19. But we won't!
We use IRC and broswer support for this, making it one of the fastest meeting clients!
We believe that other meeting clients are too buggy, complicated, or just too slow. Thats why connect is simple and fast, if it is less complicated, there will be less bugs!


Urine is a slightly acidic fluid which carries
waste from the kidneys to the outside world.
Urea is, among other things, a diuretic.
The fluid consisting of plasma, blood cells, and
platelets that is circulated by the heart through
the vertebrate vascular system, carrying oxygen and
nutrients to and waste materials away from all body tissues.
The solid waste that is left after food is
digested. Stool forms in the intestines
and passes out of the body through the anus.
Biological tissue is a collection of interconnected
cells that perform a similar function
within an organism.
is a watery substance located in the mouths of organisms, secreted
by the salivary glands. It serves as a lubricative function,
wetting food and permitting the initiation of swallowing, and
protecting the mucosal surfaces of the oral cavity from desiccation.


Surprise! Young actress to replace Suganya as Kamal's wife in 'Indian 2' - Tamil News - IndiaGlitz.com
Kamal Haasan after a week-long celebration of his sixty-fifth birthday and sixtieth year in cinema will soon rejoin the sets of 'Indian 2' directed by Shankar. It is already a known fact that Kajal Agarwal is playing an eighty-five-year-old woman who is a friend of Kamal's Senapathy character who will jointly fight against the villains.
Now unconfirmed news has emerged that Priya Bhavani Shankar will be playing Amirthavalli the wife of Senapathy and will be replacing actress Suganya who acted in the original. It is said that Priya too will go through extensive makeup and will appear eighty plus aged for most parts and will look young only in the flashback portions.
If this turns out to be true then Priya is really lucky to pair up with the legendary Kamal and that too in the meaty role as his wife. We have to wait for an official confirmation regarding this though our sources swear that it's true.
Trending News
Inspiration behind Karthi's next revealed!
Kamal Haasan to undergo surgery
Prabhu Deva joins the Pongal race!
Dhanush surprises sister in law with special gift!
After Verithanam Thalapathy Vijay to create a Sambavam?
Amala Paul's next release announced!
More News
Superstar Rajinikanth sways celebs and audiences at IFFI Goa
Kamal Haasan to undergo surgery
Amala Paul's next release announced!
"A beauty that's soulful!" - Gautham Menon showers praises!
Prabhu Deva joins the Pongal race!
Inspiration behind Karthi's next revealed!
Yogi Babu's next reaches crucial phase!
Dhanush surprises sister in law with special gift!
Thala Ajith's new get up is double 'Valimai' and sets internet on fire
After Verithanam Thalapathy Vijay to create a Sambavam?
Vanitha Vijayakumar's emotional message to brother Arun Vijay
Popular hero's brother joins Thalapathy 64!
Samantha announces date, year and time of birth of her baby
"Ajith is a gentleman!" TN Minister showers praise!
Breaking! Foreign heroine and villains confirmed for S.S. Rajamouli's 'RRR'
Actress accuses cosmetic surgeon of rape
Headlines
Tamil Nadu: Lovers commit suicide by jumping in front of train
Chennai auto-driver murdered by five men for shocking reason
Two men arrested for posting this TikTok video
Ma Nithyananditha 's shocking allegations against her father - Video
Father electrocutes and slits daughter's throat for shocking reason
Parents of two teenaged girls file case against Nithyanandha
Will stop eating jalebis: Gautam Gambhir's outburst
Man rapes mother, sister, and sister-in-law, murdered by father
Leonardo Dicaprio opens up on major crisis in India
Gautam Gambhir blames Dhoni for this reason
[VIDEO] Congress MLA stabbed in neck
[Video] Shocking: Man drowns in river, friends record video of him dying


The gear tooth sensor supplied by FIRST. Counts passing teeth of gears.
Note: The GearTooth class has been deprecated in WPILib and may be removed in future years.


Nancy Bui
just a girl! · confused
Projects
DW feeling pretty
DW being suspicious
DW eating pizza
DW not having it
just DW
DW and stinky Arthur
DW being smart
DW calling amanda


#include <ParkMiller.h>
|
| static unsigned long | Max () |
| |
| static unsigned long | Min () |
| |
§ ParkMiller()
| ParkMiller::ParkMiller |
( |
unsigned long |
Seed = 1 | ) |
|
§ GetOneBeta()
| double ParkMiller::GetOneBeta |
( |
double |
alpha, |
|
|
double |
beta |
|
) |
| |
§ GetOneExponential()
| double ParkMiller::GetOneExponential |
( |
double |
lambda | ) |
|
§ GetOneGamma()
| double ParkMiller::GetOneGamma |
( |
double |
alpha, |
|
|
double |
beta |
|
) |
| |
§ GetOneGaussian()
| double ParkMiller::GetOneGaussian |
( |
double |
m = 0.0 , |
|
|
double |
s = 1.0 |
|
) |
| |
§ GetOneLogNormal()
| double ParkMiller::GetOneLogNormal |
( |
double |
m, |
|
|
double |
s |
|
) |
| |
§ GetOnePoisson()
| double ParkMiller::GetOnePoisson |
( |
double |
lambda | ) |
|
§ GetOneUniform()
| double ParkMiller::GetOneUniform |
( |
double |
a = 0.0 , |
|
|
double |
b = 1.0 |
|
) |
| |
§ Max()
| static unsigned long ParkMiller::Max |
( |
| ) |
|
|
static |
§ Min()
| static unsigned long ParkMiller::Min |
( |
| ) |
|
|
static |
§ SetSeed()
| void ParkMiller::SetSeed |
( |
unsigned long |
Seed | ) |
|
§ Skip()
| void ParkMiller::Skip |
( |
unsigned long |
numberOfPaths | ) |
|
The documentation for this class was generated from the following file:


Gateway
BOT
29-Sep-19 09:21 PM
[dscrd-hush] <Privatoshi²> Haha
[dscrd-hush] <Privatoshi²> He was devastated
[dscrd-hush] <Privatoshi²> Electric Coin Company sounds like the Sears Roebuck of crypto
[dscrd-hush] <dukeleto> yup
[dscrd-hush] <Privatoshi²> Outdated
[dscrd-hush] <dukeleto> they were forced to change it from Zcash Company
[dscrd-hush] <dukeleto> for legal reasons and to reduce litigation potential and probably other shady reasons
[dscrd-hush] <Privatoshi²> And now they're arguing over the trademark
[dscrd-hush] <dukeleto> it's a swiss-based company with a us-based subsidiary and a non-profit to reduce taxes
[dscrd-hush] <dukeleto> and they treat everybody like total garbage
[dscrd-hush] <Privatoshi²> Sounds like a shitshow
[dscrd-hush] <Privatoshi²> @gigamesh sup homie
[dscrd-hush] <Privatoshi²> Good work
[dscrd-hush] <gigamesh> @Privatoshi² hustlin'
[dscrd-hush] <Privatoshi²> You're doing well my friend
[dscrd-hush] <gigamesh> which is more than can be said for Zcash
[dscrd-hush] <Privatoshi²> Kek
[dscrd-hush] <dukeleto> !tip @gigamesh 50 hush
[dscrd-hush] <tip.cc> :HUSH: @dukeleto sent @gigamesh 50.00 HUSH (≈ $2.00).
[dscrd-hush] <dukeleto> thanks for spreading the good word
[dscrd-hush] <gigamesh> @dukeleto now ive cleaned my table id like to cover Metaverse Metadata this week
[dscrd-hush] <gigamesh> @dukeleto ty!
[dscrd-hush] <gigamesh> im kinda pissed Cointelegraph beat me to the other story
(edited)
[dscrd-hush] <gigamesh> still... MM will steal the ehadlines
[dscrd-hush] <Privatoshi²> Other than that article, cointelegraph is propoganda
[dscrd-hush] <gigamesh> @dukeleto if ok ill DM you tomorrow and you can assist with the details? thanks
[dscrd-hush] <gigamesh> ill be on the Metaverse Metadata attack like a rash
(edited)
[dscrd-hush] <Privatoshi²> Maybe we should do an article on the obvious turning a blind eye, to the ip leakage of private txs
[dscrd-hush] <Privatoshi²> Duke is the only one to speak up
[dscrd-hush] <Privatoshi²> This is huge.
[dscrd-hush] <Privatoshi²> Maybe it's just me
[dscrd-hush] <gigamesh> sure, we can do that
[dscrd-hush] <gigamesh> a prelude to bigger troubles
[dscrd-hush] <Privatoshi²> Yeah
[dscrd-hush] <Privatoshi²> Well that's the truth
[dscrd-hush] <Privatoshi²> The MM attack will bring the doors dowm
[dscrd-hush] <Privatoshi²> They tried to sweep this one under the rug
[dscrd-hush] <Privatoshi²> Like oh, no big deal, just ip address leakage on private txs
[dscrd-hush] <Privatoshi²> Wtf
[dscrd-hush] <gigamesh> > They tried to sweep this one under the rug
[dscrd-hush] <gigamesh> they did? this is proven?
[dscrd-hush] <Privatoshi²> No
[dscrd-hush] <gigamesh> i gotta b careful what i say
[dscrd-hush] <Privatoshi²> Let me ask u this
[dscrd-hush] <Privatoshi²> Where was the vulnerability described?
[dscrd-hush] <gigamesh> by duke i assume, i dont know the details yet and have to re-read stuff. just dont want the ECC to use their last 1000 bucks to sue me
[dscrd-hush] <Privatoshi²> Okay let me back track
[dscrd-hush] <Privatoshi²> What is the purpose of ZCash?
[dscrd-hush] <Privatoshi²> Lol ur funny
[dscrd-hush] <gigamesh> to lose investors money
[dscrd-hush] <gigamesh> that was ez
[dscrd-hush] <Privatoshi²> Provide secure & private txs
[dscrd-hush] <gigamesh> gimme another
[dscrd-hush] <Privatoshi²> So they have a vulnerability that exposes ip addresses
[dscrd-hush] <gigamesh> can we prove they new the IP leak and did nothing about it till Leto arrived?
[dscrd-hush] <Privatoshi²> I'm not trying to point the finger
[dscrd-hush] <Privatoshi²> Like u said that's dangerous
[dscrd-hush] <Privatoshi²> Maybe more of a take on how something like this should be announced
[dscrd-hush] <Privatoshi²> I'm sorry. I know certain type of writing is dangerous.
[dscrd-hush] <Privatoshi²> So I'm trying to turn it around & show a way that....
[dscrd-hush] <Privatoshi²> I'll get back with u @gigamesh
[dscrd-hush] <gigamesh> i can prove they ignored Sapling Woodchipper
[dscrd-hush] <gigamesh> aiaiaiaiaia
[dscrd-hush] <gigamesh> and still do?
[dscrd-hush] <gigamesh> @dukeleto ?
[dscrd-hush] <Privatoshi²> I hate that they're a company too
[dscrd-hush] <Privatoshi²> Liabilities etc
[dscrd-hush] <Privatoshi²> All in all @dukeleto is doing a stand up job
[dscrd-hush] <gigamesh> #hero
[dscrd-hush] <gigamesh> Ive been thinking a lot about "Responsible Disclosure" re blockchains too.... that's where I'll leave you guys tonight
Provided to YouTube by Universal Music Group Her Majesty (Takes 1-3) · The Beatles Abbey Road 2019 Calderstone Productions Limited (a division of Universal...


Welcome! This is the URL where you would request your service! Set this URL in your client configuration program then you're all set!


{% extends base_template %} {% load i18n xadmin_tags %} {% load crispy_forms_tags %} {% block body %}
{% trans "Please enter your new password twice so we can verify you typed it in correctly." %}
{% trans "The password reset link was invalid, possibly because it has already been used. Please request a new password reset." %}


JURASSIC PARK A film review by Micahel Har-even Copyright 1993 Micahel Har-even
I wanted to forget my integrity and to write this review without going to the film. Then, I have decided against seeing the film and against writing this review. Finally, I saw the film and got 100 million reasons in favor of writing this review. Most of the following ideas were raised before seeing the film. Those ideas should reflect trends in the American cinema today. Watching Jurassic PARK reassured me that I was right.
Preston Sturges wrote many years ago the golden rules for making a successful comedy. I would like to list those rules along with my rules for making a successful commercial film. Naturally, the rules of Sturges are much better. Here are the rules (my rules are inside brackets):
A pretty girl is better than a plain one. [A naked girl is better than a dressed one.] A leg is better than an arm. A bedroom is better than a living room. An arrival is better than a departure. A birth is better than death. [A death is better than birth.]  A kitten is better than a dog. [A Schwarzenegger is better than a dog.] A baby is better than a kitten. [A dinosaur is better than a Schwarzenegger.].  [A Spielberg is better than a dinosaur.] A pratfall is better than anything. [Technology is better than all.]
Is technology better than all?
Technology has no correlation to quality. Most of the great masterpieces of cinema are either silent films or B&W films. The medium of cinema is realistic by its nature. There should be no essential difference between a silent film, B&W film or a colored film. The availability of sound and color opened new ways of expression, nevertheless, the aesthetic nature of cinema has not been changed since the beginning.
One might presume that technology could help to increase the realistic effect. The truth is that realism cannot be achieved by mere imitation or by restoration. Realism can be only achieved if the director and the actors are totally sincere. Spielberg invested 100 million dollars in order to create realistic dinosaurs. The irony is that his film is totally unrealistic. His film is like the Jurassic park, amazing at first sight but totally phony. Whether 100 million dollars or billion dollars are spent virtual reality cannot replace reality.
JURASSIC PARK is like a new candy. It seems to be tasty but very soon you want a sweeter candy. You can enjoy a candy, but how can you take a candy seriously?
.
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.
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Related links: index of all rec.arts.movies.reviews reviews


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Provides methods for generating, exploring and executing seamless Phase II-III designs of Lai, Lavori and Shih using generalized likelihood ratio statistics. Includes pdf and source files that describe the entire R implementation with the relevant mathematical details.
| Version: | 0.9 |
| Depends: | R (≥ 3.0), mvtnorm, survival |
| Suggests: | RUnit |
| Published: | 2014-06-26 |
| Author: | Balasubramanian Narasimhan [aut, cre], Mei-Chiung Shih [aut], Pei He [aut] |
| Maintainer: | Balasubramanian Narasimhan <naras at stat.stanford.edu> |
| License: | LGPL-3 |
| NeedsCompilation: | no |
| Materials: | ChangeLog |
| In views: | ExperimentalDesign |
| CRAN checks: | sp23design results |
| Reference manual: | sp23design.pdf |
| Package source: | sp23design_0.9.tar.gz |
| Windows binaries: | r-devel: sp23design_0.9.zip, r-release: sp23design_0.9.zip, r-oldrel: sp23design_0.9.zip |
| OS X binaries: | r-release: sp23design_0.9.tgz, r-oldrel: sp23design_0.9.tgz |
Please use the canonical form https://CRAN.R-project.org/package=sp23design to link to this page.


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JSF Development Demo
-
Example: this
demonstrates usage of
script[type=module][src=URL]
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Example: this
demonstrates usage of
script[type=module]
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Tests used in Development of the Framework: this
uses the
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approach to
run some tests.


|
QuantLib: a free/open-source library for quantitative finance
Fully annotated sources - version 1.30
|
#include <ql/methods/finitedifferences/stepconditions/fdmsimplestoragecondition.hpp>
Public Member Functions | |
| FdmSimpleStorageCondition (std::vector< Time > exerciseTimes, ext::shared_ptr< FdmMesher > mesher, ext::shared_ptr< FdmInnerValueCalculator > calculator, Real changeRate) | |
| void | applyTo (Array &a, Time t) const override |
| Public Member Functions inherited from StepCondition< Array > | |
| virtual | ~StepCondition ()=default |
| virtual void | applyTo (Array &a, Time t) const=0 |
Private Attributes | |
| const std::vector< Time > | exerciseTimes_ |
| const ext::shared_ptr< FdmMesher > | mesher_ |
| const ext::shared_ptr< FdmInnerValueCalculator > | calculator_ |
| const Real | changeRate_ |
| std::vector< Real > | x_ |
| std::vector< Real > | y_ |
Definition at line 34 of file fdmsimplestoragecondition.hpp.
| FdmSimpleStorageCondition | ( | std::vector< Time > | exerciseTimes, |
| ext::shared_ptr< FdmMesher > | mesher, | ||
| ext::shared_ptr< FdmInnerValueCalculator > | calculator, | ||
| Real | changeRate | ||
| ) |
Definition at line 28 of file fdmsimplestoragecondition.cpp.
Implements StepCondition< Array >.
Definition at line 49 of file fdmsimplestoragecondition.cpp.
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private |
Definition at line 44 of file fdmsimplestoragecondition.hpp.
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private |
Definition at line 45 of file fdmsimplestoragecondition.hpp.
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Definition at line 46 of file fdmsimplestoragecondition.hpp.
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Definition at line 47 of file fdmsimplestoragecondition.hpp.
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Definition at line 49 of file fdmsimplestoragecondition.hpp.
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Definition at line 49 of file fdmsimplestoragecondition.hpp.


--- notes: | This will scale an element according to a 16:9 aspect ratio. This proves extremely useful for handling resizing iframes with videos in them. ---


--- layout: post title: Ah, Utah post_id: 304 categories: - life date: 2004-03-11 01:52:00.000000000 -07:00 author: Jamis permalink: 2004/3/11/ah-utah.html ---
Ah, Utah. I woke up this morning to a beautiful day—the sky was blue, Mount Timpanogos was towering majestically and snow-capped to the north, and it appeared as though spring might truly be here despite it being only 35 degrees outside.
Then, I turn on the radio as I’m driving to work, and I catch the tail end of the weather report.
They’re expecting more snow this weekend.
Bah. Humbug.


SLING BLADE A film review by Michael John Legeros Copyright 1997 Michael John Legeros
(Mirimax) Directed by Billy Bob Thornton Written by Billy Bob Thornton Cast Billy Bob Thornton, Lucas Black, Dwight Yoakam, Natalie Canderday, John Ritter, James Hampton, J.T. Walsh MPAA Rating "R" (presumably for violence and language) Running Time 125 minutes Reviewed at The Studio, Raleigh, N.C. (14FEB97)
==
Who is Billy Bob Thornton? Well, he's an actor (DEAD MAN, INDECENT PROPOSAL, CHOPPER CHICKS IN ZOMBIETOWN), a writer (ONE FALSE MOVE, A FAMILY THING), and, now, a director.  His direction is good, very good, but his writing and acting-- both on display here-- are the stuff of Oscar nominations. (And the stuff of head-scratching. I wonder how many people think that Joe Bob *Briggs* is up for Best Actor and Best Adapted Screenplay?) Thornton's performance as Karl, the slow-moving, slower-speaking small-engine whiz, is mesmerizing. He's Forrest Gump with fewer laughs and darker thoughts. Much darker thoughts. Karl ends up staying with a young boy (Lucas Black) and his single mom (Natalie Canerday) and, after we've met her abusive boyfriend (Dwight Yoakam, excellent), the outcome of the story is no longer in question. SLING BLADE is many things, including a catalog of unspeakable small-town (Southern?) horrors. No, nothing is shown on screen, but they add a grim-- and at times gruesome-- subtext to an equally endearing and, even, hilarious tale. Uh huh.
Grade: A
--
Mike Legeros - Raleigh, NC, USA, Earth<EMAIL_ADDRESS>(h) -<EMAIL_ADDRESS>(w) I'm also on the Web! http://www.pagesz.net/~legeros/
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


Javascript 笔记
Packages
Gloabl
- npm-check-updates
https://github.com/raineorshine/npm-check-updates
Find newer versions of package dependencies than what your package.json allows
Local
- dotenv
https://github.com/motdotla/dotenv
Loads environment variables from .env for nodejs projects. - puppeteer
https://github.com/puppeteer/puppeteer
Headless Chrome Node.js API - superagent
https://github.com/visionmedia/superagent
Ajax for Node.js and browsers (JS HTTP client)


{% extends "dev/base.html" %} {% load i18n %} {% block htitle %}SPARCS SSO Test User{% endblock %} {% block content %}
Login with KAIST Portal is impossible for Test Account. KAIST Info should be json encoded. Invalid input will be replaced as empty value.


Version 2.0 [Sep 04, 2018]
- New Material UI
- Bug fixes & minor improvements
- Note: I don't have any physical device for debugging so there is no USB Tethering toggle in this version.
- Note 2: This maybe the last update. Because Google is replacing RX with R8 which will cause error while building the app. I will find a way to manage it.
Version 1.7.1 [Jun 25, 2018]
- Fix crash on start up
- Bug fixes & minor improvements
Version 1.7 [Jun 24, 2018]
- Auto refresh tiles list
- Fix Devetter is not detected after installed in some cases
- Bug fixes & minor improvements
Version 1.6 [Jun 12, 2018]
- Extract some functions into Devetter Plugin
- Magic tiles are now required Devetter to be installed
- Optimize magic tiles responses
- Bug fixes & minor improvements
Version 1.5 [Jun 12, 2018]
- Fix crash when toggle tiles on some devices
- Tiles are now divided into categories
- Add an ability to refresh the tile list
- Bug fixes & minor improvements
Version 1.4 [Jun 11, 2018]
- Create main UI
- Enable/disable tiles (disabled as default)
- Bug fixes & minor improvements
Version 1.3 [Jun 05, 2018]
- Add USB debugging tile
- Add Strict mode tile
- Add Animator duration scales tile
- Add Show taps tile
- Change package name
- Bug fixes & minor improvements
Version 1.0 [Jun 05, 2018]
- Add ADB over network tile
- Add Caffeine tile
- Add Debug GPU overdraw tile
- Add Demo mode tile
- Add Force RTL layout direction tile
- Add Profile GPU rendering tile
- Add Show layout bounds tile
- Initial release


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|
By danielp TopCoder Member Introduction Notations Range Minimum Query (RMQ) Trivial algorithms for RMQ A <O(N), O(sqrt(N))> solution Sparse Table (ST) algorithm Segment Trees Lowest Common Ancestor (LCA) A <O(N), O(sqrt(N))> solution Another easy solution in <O(N logN, O(logN)> Reduction from LCA to RMQ From RMQ to LCA An <O(N), O(1)> algorithm for the restricted RMQ Conclusion Introduction The problem of finding the Lowest Common Ancestor (LCA) of a pair of nodes in a rooted tree has been studied more carefully in the second part of the 20th century and now is fairly basic in algorithmic graph theory. This problem is interesting not only for the tricky algorithms that can be used to solve it, but for its numerous applications in string processing and computational biology, for example, where LCA is used with suffix trees or other tree-like structures. Harel and Tarjan were the first to study this problem more attentively and they showed that after linear preprocessing of the input tree LCA, queries can be answered in constant time. Their work has since been extended, and this tutorial will present many interesting approaches that can be used in other kinds of problems as well. Let's consider a less abstract example of LCA: the tree of life. It's a well-known fact that the current habitants of Earth evolved from other species. This evolving structure can be represented as a tree, in which nodes represent species, and the sons of some node represent the directly evolved species. Now species with similar characteristics are divided into groups. By finding the LCA of some nodes in this tree we can actually find the common parent of two species, and we can determine that the similar characteristics they share are inherited from that parent. Range Minimum Query (RMQ) is used on arrays to find the position of an element with the minimum value between two specified indices. We will see later that the LCA problem can be reduced to a restricted version of an RMQ problem, in which consecutive array elements differ by exactly 1. However, RMQs are not only used with LCA. They have an important role in string preprocessing, where they are used with suffix arrays (a new data structure that supports string searches almost as fast as suffix trees, but uses less memory and less coding effort). In this tutorial we will first talk about RMQ. We will present many approaches that solve the problem -- some slower but easier to code, and others faster. In the second part we will talk about the strong relation between LCA and RMQ. First we will review two easy approaches for LCA that don't use RMQ; then show that the RMQ and LCA problems are equivalent; and, at the end, we'll look at how the RMQ problem can be reduced to its restricted version, as well as show a fast algorithm for this particular case. Notations Suppose that an algorithm has preprocessing time f(n) and query time g(n). The notation for the overall complexity for the algorithm is <f(n), g(n)>. We will note the position of the element with the minimum value in some array A between indices i and j with RMQA(i, j). The furthest node from the root that is an ancestor of both u and v in some rooted tree T is LCAT(u, v). Range Minimum Query(RMQ) Given an array A[0, N-1] find the position of the element with the minimum value between two given indices. Trivial algorithms for RMQ For every pair of indices (i, j) store the value of RMQA(i, j) in a table M[0, N-1][0, N-1]. Trivial computation will lead us to an <O(N3), O(1)> complexity. However, by using an easy dynamic programming approach we can reduce the complexity to <O(N2), O(1)>. The preprocessing function will look something like this: void process1(int M[MAXN][MAXN], int A[MAXN], int N) { int i, j; for (i =0; i < N; i++) M[i][i] = i; for (i = 0; i < N; i++) for (j = i + 1; j < N; j++) if (A[M[i][j - 1]] < A[j]) M[i][j] = M[i][j - 1]; else M[i][j] = j; }This trivial algorithm is quite slow and uses O(N2) memory, so it won't work for large cases. An <O(N), O(sqrt(N))> solution An interesting idea is to split the vector in sqrt(N) pieces. We will keep in a vector M[0, sqrt(N)-1] the position for the minimum value for each section. M can be easily preprocessed in O(N). Here is an example: Now let's see how can we compute RMQA(i, j). The idea is to get the overall minimum from the sqrt(N) sections that lie inside the interval, and from the end and the beginning of the first and the last sections that intersect the bounds of the interval. To get RMQA(2,7) in the above example we should compare A[2], A[M[1]], A[6] and A[7] and get the position of the minimum value. It's easy to see that this algorithm doesn't make more than 3 * sqrt(N) operations per query. The main advantages of this approach are that is to quick to code (a plus for TopCoder-style competitions) and that you can adapt it to the dynamic version of the problem (where you can change the elements of the array between queries). Sparse Table (ST) algorithm A better approach is to preprocess RMQ for sub arrays of length 2k using dynamic programming. We will keep an array M[0, N-1][0, logN] where M[i][j] is the index of the minimum value in the sub array starting at i having length 2j. Here is an example: For computing M[i][j] we must search for the minimum value in the first and second half of the interval. It's obvious that the small pieces have 2j - 1 length, so the recurrence is: The preprocessing function will look something like this: void process2(int M[MAXN][LOGMAXN], int A[MAXN], int N) { int i, j; //initialize M for the intervals with length 1 for (i = 0; i < N; i++) M[i][0] = i; //compute values from smaller to bigger intervals for (j = 1; 1 << j <= N; j++) for (i = 0; i + (1 << j) - 1 < N; i++) if (A[M[i][j - 1]] < A[M[i + (1 << (j - 1))][j - 1]]) M[i][j] = M[i][j - 1]; else M[i][j] = M[i + (1 << (j - 1))][j - 1]; }Once we have these values preprocessed, let's show how we can use them to calculate RMQA(i, j). The idea is to select two blocks that entirely cover the interval [i..j] and find the minimum between them. Let k = [log(j - i + 1)]. For computing RMQA(i, j) we can use the following formula: So, the overall complexity of the algorithm is <O(N logN), O(1)>. Segment trees For solving the RMQ problem we can also use segment trees. A segment tree is a heap-like data structure that can be used for making update/query operations upon array intervals in logarithmical time. We define the segment tree for the interval [i, j] in the following recursive manner:
The segment tree has the same structure as a heap, so if we have a node numbered x that is not a leaf the left son of x is 2*x and the right son 2*x+1. For solving the RMQ problem using segment trees we should use an array M[1, 2 * 2[logN] + 1] where M[i] holds the minimum value position in the interval assigned to node i. At the beginning all elements in M should be -1. The tree should be initialized with the following function (b and e are the bounds of the current interval): void initialize(intnode, int b, int e, int M[MAXIND], int A[MAXN], int N) { if (b == e) M[node] = b; else { //compute the values in the left and right subtrees initialize(2 * node, b, (b + e) / 2, M, A, N); initialize(2 * node + 1, (b + e) / 2 + 1, e, M, A, N); //search for the minimum value in the first and //second half of the interval if (A[M[2 * node]] <= A[M[2 * node + 1]]) M[node] = M[2 * node]; else M[node] = M[2 * node + 1]; } }The function above reflects the way the tree is constructed. When calculating the minimum position for some interval we should look at the values of the sons. You should call the function with node = 1, b = 0 and e = N-1. We can now start making queries. If we want to find the position of the minimum value in some interval [i, j] we should use the next easy function: int query(int node, int b, int e, int M[MAXIND], int A[MAXN], int i, int j) { int p1, p2; //if the current interval doesn't intersect //the query interval return -1 if (i > e || j < b) return -1; //if the current interval is included in //the query interval return M[node] if (b >= i && e <= j) return M[node]; //compute the minimum position in the //left and right part of the interval p1 = query(2 * node, b, (b + e) / 2, M, A, i, j); p2 = query(2 * node + 1, (b + e) / 2 + 1, e, M, A, i, j); //return the position where the overall //minimum is if (p1 == -1) return M[node] = p2; if (p2 == -1) return M[node] = p1; if (A[p1] <= A[p2]) return M[node] = p1; return M[node] = p2; }You should call this function with node = 1, b = 0 and e = N - 1, because the interval assigned to the first node is [0, N-1]. It's easy to see that any query is done in O(log N). Notice that we stop when we reach completely in/out intervals, so our path in the tree should split only one time. Using segment trees we get an <O(N), O(logN)> algorithm. Segment trees are very powerful, not only because they can be used for RMQ. They are a very flexible data structure, can solve even the dynamic version of RMQ problem, and have numerous applications in range searching problems. Lowest Common Ancestor (LCA) Given a rooted tree T and two nodes u and v, find the furthest node from the root that is an ancestor for both u and v. Here is an example (the root of the tree will be node 1 for all examples in this editorial): An <O(N), O(sqrt(N))> solution Dividing our input into equal-sized parts proves to be an interesting way to solve the RMQ problem. This method can be adapted for the LCA problem as well. The idea is to split the tree in sqrt(H) parts, were H is the height of the tree. Thus, the first section will contain the levels numbered from 0 to sqrt(H) - 1, the second will contain the levels numbered from sqrt(H) to 2 * sqrt(H) - 1, and so on. Here is how the tree in the example should be divided: Now, for each node, we should know the ancestor that is situated on the last level of the upper next section. We will preprocess this values in an array P[1, MAXN]. Here is how P should look like for the tree in the example (for simplity, for every node i in the first section let P[i] = 1): Notice that for the nodes situated on the levels that are the first ones in some sections, P[i] = T[i]. We can preprocess P using a depth first search (T[i] is the father of node i in the tree, nr is [sqrt(H)] and L[i] is the level of the node i): void dfs(int node, int T[MAXN], int N, int P[MAXN], int L[MAXN], int nr) { int k; //if node is situated in the first //section then P[node] = 1 //if node is situated at the beginning //of some section then P[node] = T[node] //if none of those two cases occurs, then //P[node] = P[T[node]] if (L[node] < nr) P[node] = 1; else if(!(L[node] % nr)) P[node] = T[node]; else P[node] = P[T[node]]; for each son k of node dfs(k, T, N, P, L, nr); }Now, we can easily make queries. For finding LCA(x, y) we we will first find in what section it lays, and then trivially compute it. Here is the code: int LCA(int T[MAXN], int P[MAXN], int L[MAXN], int x, int y) { //as long as the node in the next section of //x and y is not one common ancestor //we get the node situated on the smaller //lever closer while (P[x] != P[y]) if (L[x] > L[y]) x = P[x]; else y = P[y]; //now they are in the same section, so we trivially compute the LCA while (x != y) if (L[x] > L[y]) x = T[x]; else y = T[y]; return x; }This function makes at most 2 * sqrt(H) operations. Using this approach we get an <O(N), O(sqrt(H))> algorithm, where H is the height of the tree. In the worst case H = N, so the overall complexity is <O(N), O(sqrt(N))>. The main advantage of this algorithm is quick coding (an average Division 1 coder shouldn't need more than 15 minutes to code it). Another easy solution in <O(N logN, O(logN)> If we need a faster solution for this problem we could use dynamic programming. First, let's compute a table P[1,N][1,logN] where P[i][j] is the 2j-th ancestor of i. For computing this value we may use the following recursion: The preprocessing function should look like this: void process3(int N, int T[MAXN], int P[MAXN][LOGMAXN]) { int i, j; //we initialize every element in P with -1 for (i = 0; i < N; i++) for (j = 0; 1 << j < N; j++) P[i][j] = -1; //the first ancestor of every node i is T[i] for (i = 0; i < N; i++) P[i][0] = T[i]; //bottom up dynamic programing for (j = 1; 1 << j < N; j++) for (i = 0; i < N; i++) if (P[i][j - 1] != -1) P[i][j] = P[P[i][j - 1]][j - 1]; }This takes O(N logN) time and space. Now let's see how we can make queries. Let L[i] be the level of node i in the tree. We must observe that if p and q are on the same level in the tree we can compute LCA(p, q) using a meta-binary search. So, for every power j of 2 (between log(L[p]) and 0, in descending order), if P[p][j] != P[q][j] then we know that LCA(p, q) is on a higher level and we will continue searching for LCA(p = P[p][j], q = P[q][j]). At the end, both p and q will have the same father, so return T[p]. Let's see what happens if L[p] != L[q]. Assume, without loss of generality, that L[p] < L[q]. We can use the same meta-binary search for finding the ancestor of p situated on the same level with q, and then we can compute the LCA as described below. Here is how the query function should look: int query(int N, int P[MAXN][LOGMAXN], int T[MAXN], int L[MAXN], int p, int q) { int tmp, log, i; //if p is situated on a higher level than q then we swap them if (L[p] < L[q]) tmp = p, p = q, q = tmp; //we compute the value of [log(L[p)] for (log = 1; 1 << log <= L[p]; log++); log--; //we find the ancestor of node p situated on the same level //with q using the values in P for (i = log; i >= 0; i--) if (L[p] - (1 << i) >= L[q]) p = P[p][i]; if (p == q) return p; //we compute LCA(p, q) using the values in P for (i = log; i >= 0; i--) if (P[p][i] != -1 && P[p][i] != P[q][i]) p = P[p][i], q = P[q][i]; return T[p]; }Now, we can see that this function makes at most 2 * log(H) operations, where H is the height of the tree. In the worst case H = N, so the overall complexity of this algorithm is <O(N logN), O(logN)>. This solution is easy to code too, and it's faster than the previous one. Reduction from LCA to RMQ Now, let's show how we can use RMQ for computing LCA queries. Actually, we will reduce the LCA problem to RMQ in linear time, so every algorithm that solves the RMQ problem will solve the LCA problem too. Let's show how this reduction can be done using an example: Notice that LCAT(u, v) is the closest node from the root encountered between the visits of u and v during a depth first search of T. So, we can consider all nodes between any two indices of u and v in the Euler Tour of the tree and then find the node situated on the smallest level between them. For this, we must build three arrays:
Notice that consecutive elements in L differ by exactly 1. From RMQ to LCA We have shown that the LCA problem can be reduced to RMQ in linear time. Here we will show how we can reduce the RMQ problem to LCA. This means that we actually can reduce the general RMQ to the restricted version of the problem (where consecutive elements in the array differ by exactly 1). For this we should use cartesian trees. A Cartesian Tree of an array A[0, N - 1] is a binary tree C(A) whose root is a minimum element of A, labeled with the position i of this minimum. The left child of the root is the Cartesian Tree of A[0, i - 1] if i > 0, otherwise there's no child. The right child is defined similary for A[i + 1, N - 1]. Note that the Cartesian Tree is not necessarily unique if A contains equal elements. In this tutorial the first appearance of the minimum value will be used, thus the Cartesian Tree will be unique. It's easy to see now that RMQA(i, j) = LCAC(i, j). Here is an example: Now we only have to compute C(A) in linear time. This can be done using a stack. At the beginning the stack is empty. We will then insert the elements of A in the stack. At the i-th step A[i] will be added next to the last element in the stack that has a smaller or equal value to A[i], and all the greater elements will be removed. The element that was in the stack on the position of A[i] before the insertion was done will become the left son of i, and A[i] will become the right son of the smaller element behind him. At every step the first element in the stack is the root of the cartesian tree. It's easier to build the tree if the stack will hold the indexes of the elements, and not their value. Here is how the stack will look at each step for the example above:
Note that every element in A is only added once and removed at most once, so the complexity of this algorithm is O(N). Here is how the tree-processing function will look: void computeTree(int A[MAXN], int N, int T[MAXN]) { int st[MAXN], i, k, top = -1; //we start with an empty stack //at step i we insert A[i] in the stack for (i = 0; i < N; i++) { //compute the position of the first element that is //equal or smaller than A[i] k = top; while (k >= 0 && A[st[k]] > A[i]) k--; //we modify the tree as explained above if (k != -1) T[i] = st[k]; if (k < top) T[st[k + 1]] = i; //we insert A[i] in the stack and remove //any bigger elements st[++k] = i; top = k; } //the first element in the stack is the root of //the tree, so it has no father T[st[0]] = -1; }An<O(N), O(1)> algorithm for the restricted RMQ Now we know that the general RMQ problem can be reduced to the restricted version using LCA. Here, consecutive elements in the array differ by exactly 1. We can use this and give a fast <O(N), O(1)> algorithm. From now we will solve the RMQ problem for an array A[0, N - 1] where |A[i] - A[i + 1]| = 1, i = [1, N - 1]. We transform A in a binary array with N-1 elements, where A[i] = A[i] - A[i + 1]. It's obvious that elements in A can be just +1 or -1. Notice that the old value of A[i] is now the sum of A[1], A[2] .. A[i] plus the old A[0]. However, we won't need the old values from now on. To solve this restricted version of the problem we need to partition A into blocks of size l = [(log N) / 2]. Let A'[i] be the minimum value for the i-th block in A and B[i] be the position of this minimum value in A. Both A and B are N/l long. Now, we preprocess A' using the ST algorithm described in Section1. This will take O(N/l * log(N/l)) = O(N) time and space. After this preprocessing we can make queries that span over several blocks in O(1). It remains now to show how the in-block queries can be made. Note that the length of a block is l = [(log N) / 2], which is quite small. Also, note that A is a binary array. The total number of binary arrays of size l is 2l=sqrt(N). So, for each binary block of size l we need to lock up in a table P the value for RMQ between every pair of indices. This can be trivially computed in O(sqrt(N)*l2)=O(N) time and space. To index table P, preprocess the type of each block in A and store it in array T[1, N/l]. The block type is a binary number obtained by replacing -1 with 0 and +1 with 1. Now, to answer RMQA(i, j) we have two cases:
RMQ and LCA are strongly related problems that can be reduced one to another. Many algorithms can be used to solve them, and they can be adapted to other kind of problems as well. Here are some training problems for segment trees, LCA and RMQ: SRM 310 -> Floating Median http://acm.pku.edu.cn/JudgeOnline/problem?id=1986 http://acm.pku.edu.cn/JudgeOnline/problem?id=2374 http://acmicpc-live-archive.uva.es/nuevoportal/data/problem.php?p=2045 http://acm.pku.edu.cn/JudgeOnline/problem?id=2763 http://www.spoj.pl/problems/QTREE2/ http://acm.uva.es/p/v109/10938.html http://acm.sgu.ru/problem.php?contest=0&problem=155 References - "Theoretical and Practical Improvements on the RMQ-Problem, with Applications to LCA and LCE" [PDF] by Johannes Fischer and Volker Heunn - "The LCA Problem Revisited" [PPT] by Michael A.Bender and Martin Farach-Colton - a very good presentation, ideal for quick learning of some LCA and RMQ aproaches - "Faster algorithms for finding lowest common ancestors in directed acyclic graphs" [PDF] by Artur Czumaj, Miroslav Kowaluk and Andrzej Lingas
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--- layout: default title: Recite Extension subtitle: "Remember all your saved quotes and highlights." web_title: "Recite Extension" exclude_nav: true description: "OAuth2 Policy for Recite Chrome extension" permalink: /recite/ hide_title: true ---
This page was last updated on Feb 28, 2023.
Accurately represents your app's identity: The Recite Extension is a simple Chrome extension to display quotations and highlights from a user's Google spreadsheet. This was built by Vivian Qu as a small hobby project for herself to use, and the extension is made available to others through the Chrome Web Store. The source code is available publically here. It's not something created by a company or business for profit or data harvesting.
What will this app do with user data? The only user data that the extension receives is: name, email, and profile picture. The user information is not stored in the extension but is only displayed for the purposes of authentication. The extension saves the authentication token that Google returns in order to request data from the Google Sheets API.
How does this app enhance user functionality? The extension enables users to display the information in a Google spreadsheet on a new Chrome tab. It is not possible to access a user's Google spreadsheet content without the OAuth2 authorization process, so the enhancement of user functionality is making it possible to display a user's spreadsheet data.
Link to Privacy Policy: Click here to view the extension's privacy policy.
Describe the content, context, or connection to the app: If the user chooses to enter a Google spreadsheet link as a source for quotations or highlights, the extension uses the authentication token to fetch the relevant Google spreadsheet information. The extension saves the spreadsheet ID and metadata (such as number of rows, number of columns, page title) in the browser's local storage. This spreadsheet data is used to fetch a row to display on every new tab open. The extension does not persist any rows from the spreadsheet in local storage. If a user removes the spreadsheet link from the source input, the saved data is cleared from local storage.
This app requests the following sensitive scopes:
The extension's use of information received from the API adheres to the Google API Services User Data Policy, including the Limited Use agreement.
For general terms of use for this website, see Terms of Use & Privacy Policy.


The routines documented here compute the discrete Fourier transforms (DFTs) of a number of sequences of complex numbers in either single or double precision arithmetic. The sequences must all have the same length. The DFTs are computed using a highly-efficient FFT algorithm. There are two sets of interfaces available: simple drivers and expert drivers. The simple drivers perform in-place transforms on data held contiguously in memory using a fixed scaling factor; these are simpler to use and are sufficient for many problems. The expert drivers offer greater flexibility by including a number of additional arguments. These allow you to control: the scaling factor applied; whether the result should be output to a separate vector; the increments used in storing successive elements of a given sequence (for both input and output sequences); and the increments used in storing corresponding elements in successive sequences (for both input and output).


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National College Alexandru Ioan Cuza
This is the school where I studied mathematics and informatics. Here I managed to develop my abilities in various domains but also grew up as a mature person prepared for what life is preparing in the future.
Radu Alexandru Theodor
If you did not find out yet, my name is Radu Alexandru Theodor, I am a wannabe front-end web developer eager to find new adventures and learn as much as possible and to widen his knowledge in a way so I can be able to help others learn what I know.
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Erasmus projects are well known for broadening your horizons. I did not believe this until I got hooked into one. This mesmerizing activity totally changed my mentality and the way I see life due to the large diversity of people met there.
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