THE DECALOGUE A film review by Christopher Null Copyright 2000 filmcritic.com filmcritic.com
Survive 10 hours of THE DECALOGUE and you may find yourself a changed person.
Polish master Krzysztof Kieslowski found inspiration in the 10 Commandments, and for Polish TV he made a series of one-hour films exploring each one. Naturally, this is some heavy stuff. In some cases, it's really heavy stuff.
Kieslowski is a bit of a minimalist, which means don't expect lavish sets or much in the way of music. In fact, most of these characters all live in the same, nondescript, high-rise apartment complexes in a Warsaw, Poland. The stories regularly intersect, though not to the degree that they did in Kieslowski's other major epic of BLUE, WHITE, and RED.
Unfortunately, many of the episodes of THE DECALOGUE feel unfinished, and on the whole the series is hit and miss, not the masterpiece some would claim, though it's definitely one of the most ambitious film projects ever undertaken. While it's imperfect, I have to say I feel a deep sense of achievement having finished the series. I don't know if it's made me a better man or not, but time will have its say in that.
Each episode deserves its own examination.
 His hubris leads him to trust its calculations in all matters, which proves to be devastating. One of the most powerful of the series, featuring a haunting performance by Wojciech Klata as the man's trusting son. ****1/2
Decalogue 2 - "Thou shalt not take the Lord's name in vain" - A woman forces a doctor to make a harrowing choice: If her husband lives, she'll get an abortion of the child she's carrying from another man. Somewhat roundabout on the whole. ***1/2
Decalogue 3 - "Thou shalt remember the Sabbath and keep it holy" - Crazy woman forces the married man with who she's had an affair 3 years earlier to help her search for her missing lover on Christmas Eve. Why? She's determined if she can keep the guy out until 7 a.m. she'll be sane again. Or not. Almost completely nonsensical. **1/2
Decalogue 4 - "Thou shalt honor thy father and mother" - Girl's mother died right after childbirth, leaving only a cryptic letter to her father. Father seals letter in a second envelope, "Not to be opened until my death." Child opens the letter and realizes dad isn't dad.  Again, not terribly great. ***
Decalogue 5 - "Thou shalt not kill" - A street punk murders a cab driver in cold blood, then faces the death penalty for his crime. A lot less interesting than it sounds, mainly because that's the entire gist of the story. The only "surprise" comes from the lawyer defending the punk's life, and even he adds little to the capital punishment debate. Notable only for the gruesome and cold murder sequence. ***1/2
Decalogue 6 - "Thou shalt not commit adultery" - A return to fine form for Kieslowski, with a curious tale of a 19-year-old kid who peeps on (and later stalks) his exotic, married neighbor. Eventually, they meet, with tragic consequences and a clever twist of an ending. Slow, yet fascinating.  Got it? Mom wants to escape to Canada with her somewhat estranged daughter, but events turn against her. Awfully confusing for such a simple story and not particularly successful in the end. Far too similar to episode 4. ***
Decalogue 8 - "Thou shalt not bear false witness" - Kieslowski invokes the Holocaust, with the tale of an American woman who returns to Poland to face a famed lecturer, only to reveal that as a young girl, the lecturer turned her away from a hiding place from the Nazis during WWII. Sounds very powerful, but the female bonding and chatty trips through the past make this episode far too weepy and sentimental. ***1/2
Decalogue 9 - "Thou shalt not covet thy neighbor's wife" - A tragedy in the style of ROMEO & JULIET. An unfaithful man finds he is now impotent, and he encourages his wife to take a lover. Jealousy immediately ensues, as does heartbreak from all sides. Very sad and deeply compelling. ****
Decalogue 10 - "Though shalt not covet thy neighbor's goods" - A personal favorite of the series, featuring two hapless brothers who suddenly inherit the most valuable stamp collection in Poland when their father dies. Though they desperately need money, they both quickly become obsessed with expanding the collection, which, as you can well imagine, does not turn out well. The only black comedy in the series, and probably the best of the bunch. ****1/2
The series averages out to a 3.6 rating, which I'll round up to 4 stars.

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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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NO-STATUS
The Native Client module executed in this page draws a 3D cube and allows you to rotate it using a virtual trackball method. To toggle the view to/from fullscreen, press the Enter key.


{% include "django/forms/widgets/textarea.html" %} {% with 'editor-'|add:widget.attrs.id as editorid %}


Structs
The following structs are available globally.
-
An arbitary precision unsigned integer type, also known as a
big integer
.Operations on big integers never overflow, but they might take a long time to execute. The amount of memory (and address space) available is the only constraint to the magnitude of these numbers.
This particular big integer type uses base-2^64 digits to represent integers; you can think of it as a wrapper around
Array<UInt64>
. In fact,BigUInt
implements a mutable collection of itsUInt64
digits, with the digit at index 0 being the least significant.To make memory management simple,
BigUInt
allows you to subscript it with out-of-bounds indexes: the subscript getter zero-extends the digit sequence, while the subscript setter automatically extends the underlying storage when necessary:var number = BigUInt(1) number[42] // Not an error, returns 0 number[23] = 1 // Not an error, number is now 2^1472 + 1.
Note that it is rarely a good idea to use big integers as collections; in the vast majority of cases it is much easier to work with the provided high-level methods and operators rather than with raw big digits.
See moreDeclaration
Swift
public struct BigUInt
-
State for iterating through the digits of a big integer.
See moreDeclaration
Swift
public struct DigitIterator<Digit>: IteratorProtocol
-
An arbitary precision signed integer type, also known as a
big integer
.Operations on big integers never overflow, but they might take a long time to execute. The amount of memory (and address space) available is the only constraint to the magnitude of these numbers.
This particular big integer type uses base-2^64 digits to represent integers.
BigInt
is essentially a tiny wrapper that extendsBigUInt
with a sign bit and provides signed integer operations. Both the underlying absolute value and the negative/positive flag are available as read-write properties.Not all algorithms of
BigUInt
are available forBigInt
values; for example, there is no square root or primality test for signed integers. When you need to call one of these, just extract the absolute value:
See moreBigInt(255).abs.isPrime() // Returns false
Declaration
Swift
public struct BigInt


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We work with exceptional local farmers and partners to find the best quality ingredients, and deliver them, refrigerated, to your door.
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{% extends "account/base.html" %} {% block head_title %}Change Password{% endblock %} {% block inner %}
Your password is now changed.


PAM_DENY
Section: Linux\-PAM Manual (8)Updated: 03/02/2009
Index Return to Main Contents
pam_deny - The locking-out PAM module
Synopsis
- pam_deny.so
DESCRIPTION
OPTIONS
This module does not recognise any options.
MODULE TYPES PROVIDED
All module types (account, auth, password and session) are provided.
RETURN VALUES
PAM_AUTH_ERR
- This is returned by the account and auth services.
PAM_CRED_ERR
- This is returned by the setcred function.
PAM_AUTHTOK_ERR
- This is returned by the password service.
PAM_SESSION_ERR
- This is returned by the session service.
EXAMPLES
-
#%PAM-1.0 # # If we don't have config entries for a service, the # OTHER entries are used. To be secure, warn and deny # access to everything. other auth required pam_warn.so other auth required pam_deny.so other account required pam_warn.so other account required pam_deny.so other password required pam_warn.so other password required pam_deny.so other session required pam_warn.so other session required pam_deny.so
SEE ALSO
AUTHOR
pam_deny was written by Andrew G. Morgan<EMAIL_ADDRESS>Index
This document was created by man2html, using the manual pages.
Time: 05:34:28 GMT, December 24, 2015


BAD COMPANY A film review by Raymond Johnston Copyright 1995 Raymond Johnston
Starring Laurence Fishburne, Ellen Barkin, Frank Langella, Spalding Gray Written by Ross Thomas Directed by Damian Harris
It takes guts to come straight out and put the word 'bad' right in the title. It's like waving a red flag in of a bull. It challenges wags such as myself to come up with witty bon mots about how the film is aptly named, list the bad parts of the film and compare it to other self proclaimed 'bad' films. The problem is that BAD COMPANY isn't really bad so much as it is simply mediocre. It's not great cinema, but it is halfway decent trash.
 It never quite manages to generate any interest. The double and triple crosses are simply by the book plot twists. Since there is no reason to expect that anybody is playing an honest game, the double crosses are never a surprise. At least BAD COMPANY manages to be a post cold war thriller without demeaning stereotypes of Latin American drug lords. It's not about drugs, the new universal threat. What it is about, well that unfortunately is never very clear.
Since the plot is a wash what the film is about, by default, is style. There is more tension created by the clash between Laurence Fishburne's saturated primary-color apartment decor and the unfinished bomb shelter chic of Langella's corporate office than there is tension created by any of the characters themselves. Well-realized sets, a good pace and some spiffy costumes dress up the goings on.
 Laurence FIshburne's character doesn't have nearly the depth of his professor in the still current HIGHER LEARNING, but it is a very slick performance. He gives his ex-secret agent man a cool strut and a tough demeanor. Ellen Barkin has a BASIC INSTINCT type role, the heartless femme fatale, a sexual manipulator using her charms to advance her agenda. Barkin makes her character seem to be at least fairly intelligent. She manages to bring a decent amount of allure to her stock character, and tries to match Sharon Stone's notorious BASIC INSTINCT scene. Frank Langella and Spalding Gray create smarmy amoral rich characters, complementing their costumes nicely with solid performances of their routine lines.
The film, however, ultimately is completely forgettable. It is all wrapper and no candy bar.  There is no development of any themes, no attempt to raise political or moral questions.
Better films of this type include THREE DAYS OF THE CONDOR (based on the novel SIX DAYS OF THE CONDOR), THE PARALLAX VIEW, THE MANCHURIAN CANDIDATE and WINTER KILLS. All four of these manage to offer some tight suspense and some food for thought as well.
.
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.
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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


CAM use children used medicine patients alternative neurologic common (%), study adults conditions complementary {border-style diseases herbal px;} #ffffff;} (%) associated conventional epilepsy pediatric CAM, Korean modalities significantly commonly mind/body products using Use chiropractic chronic frequency health medicines (n=) Complementary TKM practices therapies therapy higher neurological reported traditional Lee Table effects factor px; {font-family different diseases, font-size massage medical significant Barnes CAM. Characteristics Factors Health National Pediatr Preferred Regarding care did double; effect factors frequent high school spectrum studies ASD Behav Levy United asthma, border-color border-width cell characteristics compared disorders educational epileptic frequently natural parental parents patients' reasons review sickle solid; stress treatment {font-style {font-weight According Additionally, Child Epilepsy Kim Pusan Quran age anxiety, autism bold conditions, courier; disorder em; employed experience healthy included level pain physicians presumed pt;} relaxation religious report results summarized treatments vitamin vs.


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The present versions of glean Makefiles depend on features of GNU make. (In particular, the automatic re-scanning of all dependency files after any have changed.) If your version of make is known to be significantly incompatible with GNU make, then you will need to acquire a copy of GNU make or modify glean's Makefiles.
glean makes extensive use of the C++ Standard Template Library. If your C++ compiler fails to compile glean, you may want to try the latest version of gcc. glean was originally developed with egcs 1.1.2; earlier versions are missing some features that glean uses, such as namespaces.
Obtain the gzipped tar file containing glean from the glean downloads page on SourceForge, or better yet, grab a full source tree from the anonymous CVS access page on SourceForge.
Unpack the tar file:
tar xfz glean-1-0.tgz cd glean_1_0This will create a subdirectory named glean_1_0 and make it your current directory.
To compile or run glean, you will need to set the environment variable GLEAN_ROOT to the full pathname of the glean source directory. If you're following along, this is your current directory, so this command should do the trick for users of csh and its descendants:
setenv GLEAN_ROOT `pwd`and this command should work for users of sh and its descendants:
GLEAN_ROOT=`pwd`; export GLEAN_ROOTBe sure to set the environment variable each time you want to compile or run glean. Perhaps the easiest way to do this is to set it in your shell's startup script.
Edit $GLEAN_ROOT/make/common.mak and modify the configuration variables according to your preferences. Some of the variables that are most likely to need customization are:
When you've finished editing the Makefile, simply type
cd src make installThis will build glean and the other tools in the suite, and install everything in $GLEAN_ROOT/bin, $GLEAN_ROOT/include, and $GLEAN_ROOT/lib. Nothing will be altered outside the $GLEAN_ROOT directory hierarchy.
Note that you must use make install rather than plain make, otherwise the headers and libraries won't be copied to $GLEAN_ROOT and subsequent components will fail to build.


{% extends "base.html" %} {% set title = "Your " + event.name + " ticket" %} {% block content %}
{{ ticket_id }}
Present the QR code above at the entrance on your choice of device (notebook, smartphone, tablet, e-book reader, C64, ZX Spectrum, etc.) or print it on a white sheet of paper, without folding it on the code.


Preparation time
less than 30 mins
Cooking time
10 to 30 mins
Serves
Serves 2
For the skate wings, dredge the skate wings in the flour.
Heat a large frying pan until hot and add the butter and oil. When the butter is foaming, add the skate carefully and fry for 3-4 minutes on each side, or until completely cooked through.
Meanwhile, for the sauce, place the butter into a small saucepan over a medium heat and heat until melted and just turning nut brown in colour.
Add the lemon juice, caperberries, capers and parsley and stir through.
For the olive oil mash, place the potatoes into a saucepan and cover with water. Bring to a simmer and cook for 10-15 minutes, or until tender, then drain and place back in the pan.
Mash the potatoes until smooth then add the olive oil, stirring well with a wooden spoon or a whisk. Season, to taste, with salt and freshly ground black pepper.
To serve, place the skate onto the plate. Add two spoonfuls of mash, then spoon over the caper butter.


|
PyHodl
0.2.8
Framework to download, update, analyze and plot your crypto-transactions. Completely off-line and security-oriented.
|
Public Member Functions | |
| def | __init__ (self, base_currency) |
| def | is_crypto (self) |
| def | add_transaction (self, transaction) |
| def | dates (self) |
| def | balance (self, currency=None, now=False) |
| def | convert_to (self, date_time, currency, amount=1.0) |
| def | get_price_on (self, dates, currency) |
| def | get_delta_by_transaction (self) |
| def | get_data_by_date (self, data, dates, currency=None) |
| def | get_balance_by_transaction (self) |
| def | get_balance_array_by_date (self, dates, currency=None) |
| def | fill_missing_transactions (self, data, dates, currency=None) |
Static Public Member Functions | |
| def | fill_missing_data (data, dates, all_dates) |
Public Attributes | |
| base_currency | |
| transactions | |
| is_sorted | |
A general wallet, tracking addition, deletions and fees
| def pyhodl.core.wallets.Wallet.__init__ | ( | self, | |
| base_currency | |||
| ) |
| def pyhodl.core.wallets.Wallet.add_transaction | ( | self, | |
| transaction | |||
| ) |
:param transaction: Transaction Transaction :return: void Adds amount to balance
| def pyhodl.core.wallets.Wallet.balance | ( | self, | |
currency = None , |
|||
now = False |
|||
| ) |
:return: float Balance up to date with last transaction
| def pyhodl.core.wallets.Wallet.convert_to | ( | self, | |
| date_time, | |||
| currency, | |||
amount = 1.0 |
|||
| ) |
:param date_time: datetime Date and time of conversion :param currency: str Currency to convert to :param amount: float Amount to convert :return: float Amount of wallet base currency converted to currency
| def pyhodl.core.wallets.Wallet.dates | ( | self | ) |
:return: [] of datetime List of all dates
|
static |
:param data: [] of summable (e.g float) Data to be filled :param dates: [] of datetime Dates of data :param all_dates: [] of datetime Full dates :return: [] of {} Fill missing data: when date not in original data, we create a new data point with value the last value
| def pyhodl.core.wallets.Wallet.fill_missing_transactions | ( | self, | |
| data, | |||
| dates, | |||
currency = None |
|||
| ) |
:param data: [] of {} List of transactions :param dates: [] of datetime All dates :param currency: str or None Currency to convert balances to :return: [] of {} Fill missing data: when date not in original data, we create a new data point with value the last value
| def pyhodl.core.wallets.Wallet.get_balance_array_by_date | ( | self, | |
| dates, | |||
currency = None |
|||
| ) |
:param dates: [] of datetime List of dates :param currency: str or None Currency to convert balances to :return: numpy array Balance value by date
| def pyhodl.core.wallets.Wallet.get_balance_by_transaction | ( | self | ) |
:return: [] of {} List of balance by transaction
| def pyhodl.core.wallets.Wallet.get_data_by_date | ( | self, | |
| data, | |||
| dates, | |||
currency = None |
|||
| ) |
:param data: str Data to get. Must be in ["delta", "balance"] :param dates: [] of datetime List of dates :param currency: str or None Currency to convert deltas to :return: [] of {} List of delta amount by date
| def pyhodl.core.wallets.Wallet.get_delta_by_transaction | ( | self | ) |
:return: [] of {} List of delta balance by transaction
| def pyhodl.core.wallets.Wallet.get_price_on | ( | self, | |
| dates, | |||
| currency | |||
| ) |
:param dates: [] of datetime List of dates :param currency: str Currency to get price :return: [] of float List of price if coin converted to currency on those dates
| def pyhodl.core.wallets.Wallet.is_crypto | ( | self | ) |
:return: bool True iff wallet base currency is crypto currency
| pyhodl.core.wallets.Wallet.base_currency |
| pyhodl.core.wallets.Wallet.is_sorted |
| pyhodl.core.wallets.Wallet.transactions |


Lightwolf is a Java library that simplifies thread development. Here is a short summary of features:
The fork/merge utility is straightforward. It can be easily understood with a simple example:
import java.util.Random; import org.lightwolf.Flow; import org.lightwolf.FlowMethod; public class ForkMergeSample { @FlowMethod public static void main(String[] args) throws InterruptedException { Random r = new Random(0); System.out.println("Single threaded."); int branch = Flow.fork(2); // Create 2 additional threads. try { System.out.printf("Starting branch %d.\n", branch); Thread.sleep(r.nextInt(100)); // Simulates some processing. System.out.printf("Done with branch %d.\n", branch); } finally { Flow.merge(); } System.out.println("Single threaded, again."); } }
The code between Flow.fork(2) and Fork.merge() runs on three threads: one thread for the invoker (the main thread), and two new threads created at the point of Flow.fork(2) . Any previously declared variable is accessible from the fork block, such as Random r in the example. Notice that all threads share the same Random instance. The above example prints something like this:
Single threaded. Starting branch 1. Starting branch 0. Starting branch 2. Done with branch 1. Done with branch 2. Done with branch 0. Single threaded, again.
This utility allows execution of simple asynchronous tasks. Consider the example:
import java.util.Random; import org.lightwolf.Flow; import org.lightwolf.FlowMethod; public class ReturnAndContinueSample { public static void main(String[] args) throws InterruptedException { System.out.println("Calling doSomething()."); double result = doSomething(); System.out.printf("doSomething() returned %f.\n", result); for (int i = 1; i <= 4; ++i) { System.out.printf("main() counter: %d.\n", i); Thread.sleep(100); } } @FlowMethod private static double doSomething() throws InterruptedException { // Returns 1.25 to the invoker and continue processing. Flow.returnAndContinue(1.25); for (int i = 1; i <= 4; ++i) { System.out.printf("doSomething() counter: %d.\n", i); Thread.sleep(100); } return 0.0; // Return no nobody. } }
The doSomething() method is invoking Flow.returnAndContinue(1.25) . This causes the invoker (main() in the example) to resume as if doSomething() have returned normally. But the method doSomething() actually continues execution in another thread. This behavior makes the program output to be something like this:
Calling doSomething(). doSomething() returned 1.250000. doSomething() counter: 1. main() counter: 1. doSomething() counter: 2. main() counter: 2. main() counter: 3. doSomething() counter: 3. main() counter: 4. doSomething() counter: 4.
Transforms a simple, ordinary loop into a parallel/concurrent loop. Again, an example is worth of a thousand words:
import java.util.Random; import org.lightwolf.Flow; import org.lightwolf.FlowMethod; import org.lightwolf.synchronization.ParallelArray; import org.lightwolf.synchronization.ParallelIterator; public class ParallelIteratorSample { @FlowMethod public static void main(String[] args) throws InterruptedException { // Build an array with mock elements to be processed. Random random = new Random(0); Element[] data = new Element[8]; for (int i = 0; i < data.length; ++i) { data[i] = new Element(i + 1, random.nextInt(400)); } // Process elements in parallel. ParallelArray<Element> array = new ParallelArray<Element>(data); for (ParallelIterator<Element> iterator = array.iterator(); iterator.hasNext();) { Element elem = iterator.next(); System.out.printf("Starting %d.\n", elem.number); Thread.sleep(elem.cost); // Simulates the of processing this element. System.out.printf("Done %d.\n", elem.number); } } static class Element { int number; int cost; Element(int number, int size) { this.number = number; this.cost = size; } } }
The block that processes each element in the ParallelIterator is executed exactly 8 times (which is the size of the data array), but it runs on N different threads. The default number of threads is N = 4 . Hence the above program produces an output similar to the following:
Starting 1. Starting 2. Starting 3. Starting 4. Done 3. Starting 5. Done 4. Starting 6. Done 1. Starting 7. Done 7. Starting 8. Done 6. Done 5. Done 2. Done 8.


There is a difference between deterministic algorithms and randomized algorithms in calculating running time. A deterministic algorithm may have best, worst and average case running times. But a randomized algorithm only have expected (or average case) running time.
• When a deterministic algorithm runs multiple times with the same input, the running time is same in all executions. Because the running time of a deterministic algorithm depends on the input provided.
• Unlike deterministic algorithms, a randomized algorithm makes random choices while running. Thus when the random algorithm is run multiple times with the same input, the number of steps executed on each execution may vary.
• Therefore the running time of a random algorithm does not depend on input, but on random choices that the algorithm made.
• Thus, regarding randomized algorithms, there is no case of best case inputs and worst case inputs. But, the random algorithm may choose any one of all possible permutations of the input equally likely.
• Thus, all running times for all possible permutations of input are considered for running time calculation. This is equal to average-case running time calculation.
Hence, for a randomized algorithm, only the expected (or average-case) running time is calculated.
In case of average case behavior of the quicksort algorithm, the analysis is done with the assumption that the partitioning is completely random because every permutation of the input numbers is equally likely.
However, in practice, the partitioning isn’t as random as expected. So, in order to obtain the expected performance, randomization can be incorporated. In order to do this, replace the call to PARTITION procedure with a call to the RANDOMIZED-PARTITION procedure. The RANDOMIZED-PARTITION is turn calls the RANDOM procedure.
So, the call to the RANDOM procedure is done once each time a call to the RANDOMIZED-PARTITION is made. Therefore, the number of calls to procedure RANDOM is same as the number of calls to the RANDOMIZED-PARTITION procedure. So, consider the number of RANDOMIZED-PARTITION calls to determine the total number of calls to the procedure, RANDOM.
Assumption made for this instance of the problem: It is assumed that the elements are all distinct from each other. If they are not distinct and all are same, then no call to the RANDOM procedure is needed at all. And thus, it defeats the purpose of finding the number of calls needed for best case scenario.
The total size of the input list is.
Worst Case: The worst case in case of quicksort occur when the partition returns a sub-list of size 0 and another sub-list of size.
The partitioning itself takes care of one element which becomes the pivot element.
Then the RANDOMIZED-QUICKSORT is called recursively on both these lists independently.
So, the following recurrence relation determines the number of calls made to the RADOM procedure (which is inside the RANDOMIZED-PARTITION procedure):
To do this partition, one pivot element is chosen using the RANDOMIZED-PARTITION procedure. This process takes care of one element. This is just one call done in constant time.
= 0 because on a sub-list that is of size = 0, RANDOMIZED-QUICKSORT is not called recursively.
So, the recurrence relation becomes the following:
The following observations are made on the above recurrence relation:
• The initial size of the problem is n.
• The size of the problem decreases by 1 each time.
• Constant cost is required for division of the problem at each stage.
Thus, to completely eliminate the problem, the problem needs to be subdivided n times. And each time incurs. Therefore, in worst case, .
Hence, the number of calls made to the random number generator RANDOM in the worst case in terms of - notation is .
Best Case: The best case in case of quicksort occur when the partition returns two sub-lists, each of size at most.
If is odd then the size of the sub problems are.
If is even then the size of the sub problems are and.
The partitioning itself takes care of one element which becomes the pivot element.
Then the RANDOMIZED-QUICKSORT is called recursively on both these lists independently.
So, the following recurrence relation determines the number of calls made to the RADOM procedure (which is inside the RANDOMIZED-PARTITION procedure):
The above recurrence relation can be solved using the Master Theorem.
The Master theorem states the following:
If the recurrence relation is of the form, then the asymptotic solution of the recurrence relation is the following:
The recurrence relation is
So,
Since,
Therefore,
Hence, the number of calls made to the random number generator RANDOM in the best case in terms of - notation is .


{% extends 'base.html' %} {% block cssstyle %} {% endblock %} {% block pagecontent %} {% include "navigation.html" %}
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--- title: Cement Associations List author: published: true date: 2018-05-06 date_added_kb: source: source-url: tags: [association, cement] type: link image: image_source: image_caption: title_color: video_id: sidebar: order-number: subtitle: lead: --- Listing of Cement Associations.


Man bashed, robbed by group of men in carpark
by Matt McDonaldA man has suffered facial injuries after being bashed during a violent robbery in Beenleigh.
The 21-year-old was walking through a car park on Coral St just after 9.30pm when he was approached by four men who demanded his phone.
The group then assaulted the 21-year-old, repeatedly hitting him in the head and body.
Police allege one of the men also threatened the man with a knife during the assault.
All four men were then seen leaving on foot towards Beenleigh train station.
The victim suffered a swollen nose, lacerations and swelling to his lip and ear.
He was taken to Logan Hospital for treatment.
Police are appealing for any witnesses to contact them.
If you have information for Police, please contact Policelink on 131 444 or provide information using their online form 24 hours per day.
You can also report information about crime anonymously to Crime Stoppers by calling 1800 333 000 or via crimestoppersqld.com.au 24 hours per day. Crime Stoppers is a registered charity and community volunteer organisation.


Whoever thought of putting coders in noise-transparent cubicles needs to be beaten with a cluebat. --Anonymous Slashdotter [source]


// Copyright 2014 Google Inc. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
/**
* @fileoverview Contains the methods exposed by the library, and performs
* any required setup.
*/
// Load the Underscore.js library. This library was added using the script
// ID "1I21uLOwDKdyF3_W_hvh6WXiIKWJWno8yG9lB8lf1VBnZFQ6jAAhyNTRG".
var _ = Underscore.load();
/**
* The supported formats for the returned OAuth2 token.
* @type {Object.<string, string>}
*/
var TOKEN_FORMAT = {
JSON: 'application/json',
FORM_URL_ENCODED: 'application/x-www-form-urlencoded'
};
/**
* The supported locations for passing the state parameter.
* @type {Object.<string, string>}
*/
var STATE_PARAMETER_LOCATION = {
AUTHORIZATION_URL: 'authorization-url',
REDIRECT_URL: 'redirect-url'
};
/**
* Creates a new OAuth2 service with the name specified. It's usually best to create and
* configure your service once at the start of your script, and then reference them during
* the different phases of the authorization flow.
* @param {string} serviceName The name of the service.
* @return {Service_} The service object.
*/
function createService(serviceName) {
return new Service_(serviceName);
}
/**
* Returns the redirect URI that will be used for a given script. Often this URI
* needs to be entered into a configuration screen of your OAuth provider.
* @param {string} scriptID The script ID of your script, which can be found in
* the Script Editor UI under "File > Project properties".
* @return {string} The redirect URI.
*/
function getRedirectUri(scriptId) {
return Utilities.formatString('https://script.google.com/macros/d/%s/usercallback', scriptId);
}
if (typeof module === 'object') {
module.exports = {
createService: createService,
getRedirectUri: getRedirectUri
};
}


The first man I dated seriously had a totally mundane, normal man name – like Andrew, or Daniel, or Eric. But, I’m going to call him what he was: the first very bad man, or Vbm1 for short.
It was May. I had just turned 18, and I was a few weeks away from graduating high school. The coffee shop I worked at had just gone out of business, and I was desperate for a job. I looked in the local newspaper classifieds and ended up landing a terrible telemarketing gig selling magazines over the phone in some squat, run-down building with moldy carpet and stained ceiling tiles. It was attached to the shittiest gas station in town.
My first day on the phones, my manager sat me down between two young men. The one on my right, Brett (with two Ts he always announced when introducing himself), was rail thin, had rotting teeth, and had the longest, knobbiest fingers I’d ever seen.  Not to spoil the story, but I wasn’t wrong about him at all.
The young man on my left was Vbm1. He was healthier-looking than Brett, and was reclined in his chair, swiveling from side to side. His demeanor was totally effortless and aside from the holey, bleach-stained tshirt he was wearing, he was actually kinda cute. When I sat down, Vbm1 stopped swiveling and straightened up in his chair.
I was busy trying to connect my headset to the computer when I noticed Vbm1 hunched over his desk out of the corner of my eye. I looked toward him, and saw him scribbling something on a piece of paper. He looked up, made eye contact with me, and slowly slid the piece of paper toward me. I broke eye contact to look at the paper.  He had an almost predatory grin drawn across his face.
I don’t remember how I felt in that moment, but I remember what I did. I grabbed my pen and wrote a return note:
<———
sexmachine GUN ———>
I put the note back on his desk. He followed my arrow back to me.
And that’s how I met Vbm1.


I am a graduate student studying Data Science at the University of Michigan School of Information. I am interested in data mining, machine learning, deep Learning, and NLP. Last summer, I was a data science intern at UHG. I worked on uplift modeling to predict the effect of marketing campaigns on each individual customer and provided actionable insights to fuel growth for the comapny. Currently, I am looking for full-time data science positions starting Jan 2022.
Conducted an end-to-end machine learning and causal inference model on observational data to predict the effectiveness of the marketing campaigns on each individual customer (A/B Test)
performed feature selection on over 1000 sparse features using f-statistics; compared two model approach, class transformation, solo models and selected the best performing model with AUC 0.78
Improved the campaign effectiveness by targeting only the top 20% of users
proposed the end-to-end productization plan based on MLflow to marketing stakeholders; publishing the model API to the downstream consumers
Coursework: Computational DS & ML, Machine Learning, Natural Language Processing, Deep Learning, Big Data Analytics, Data Mining, SQL & Databases, Applied Machine Learning, Data Manipulation and Analysis, Information Visualization, Databases and Application Design
Coursework: Statistical Analysis Using Python, Management Information Systems, Data Mining, System Dynamics
In this project, I designed and built a vertical search engine using Python. I used Beautiful Soup library to scrape the data and designed SQL databases to store them. The User can select a year, and decide the sorting method to see various aggregations and charts about the happened crashes in that year. Moreover, I Used TF-IDF metric and bm25 function to retrieve and rank the most relevant documents for each query terms. Finally, I implemented the graphical user interface using Python and Flask.
Project Repository | Article | VideoIn this project, I developed, trained, and tuned multiple machine learning models (LR, GB, RF, ADA) to predict the willingness of individuals to share a trip using a novel dataset of 18.3 M records from ridesourcing trips achieving f-1 score of 80%
EDA_Notebook | ML_Notebook | ReportThis project is part of Natural Language Processing Class. I fine-tuned a transformer language model (GPT-2) to generate lyrics. In the next step I built a classification model using BERT to detect whether a song is machine-generated or not with 85% accuracy.
This is the final project for the Big Data Analytics class. I was the team leader for this project. We used Lyft Perception Datesent Kit to build models to percept 2d and 3d objects around an AV. For the 2D part, We used YOLO algorithm on 100 GB 2D images. For the 3D part, we trained U-Net algorithm on 100 GB 3D-point-clouds to percept 3D objects with MAP of 0.51.
View ProjectThis project is part of Applied Machine Learning class. In this kaggle competition, I led a team to train and tune mulitple ML models to predict the temperature of Trout lake for one year. We trained a linear regression algorithm with feature expansion, which reached an MSE of 0.022. My team ranked third in this kaggle competition.
View Leaderboard


11 Processes
In Elixir, all code runs inside processes. Processes are isolated from each other, run concurrent to one another and communicate via message passing. Processes are not only the basis for concurrency in Elixir, but they also provide the means for building distributed and fault-tolerant programs.
Elixir's processes should not be confused with operating system processes. Processes in Elixir are extremely lightweight in terms of memory and CPU (unlike threads in many other programming languages). Because of this, it is not uncommon to have dozens of thousands of processes running simultaneously.
In this chapter, we will learn about the basic constructs for spawning new processes, as well as sending and receiving messages between different processes.
11.1 spawn
The basic mechanism for spawning new processes is with the auto-imported spawn/1
function:
iex> spawn fn -> 1 + 2 end
#PID<0.43.0>
spawn/1
takes a function which it will execute in another process.
Notice spawn/1
returns a PID (process identifier). At this point, the process you spawned is very likely dead. The spawned process will execute the given function and exit after the function is done:
iex> pid = spawn fn -> 1 + 2 end
#PID<0.44.0>
iex> Process.alive?(pid)
false
Note: you will likely get different process identifiers than the ones we are getting in this guide.
We can retrieve the PID of the current process by calling self/0
:
iex> self()
#PID<0.41.0>
iex> Process.alive?(self())
true
Processes get much more interesting when we are able to send and receive messages.
11.2 send and receive
We can send messages to a process with send/2
and receive them with receive/1
:
iex> send self(), {:hello, "world"}
{:hello, "world"}
iex> receive do
...> {:hello, msg} -> msg
...> {:world, msg} -> "won't match"
...> end
"world"
When a message is sent to a process, the message is stored in the process mailbox. The receive/1
block goes through the current process mailbox searching for a message that matches any of the given patterns. receive/1
supports many clauses, like case/2
, as well as guards in the clauses.
If there is no message in the mailbox matching any of the patterns, the current process will wait until a matching message arrives. A timeout can also be specified:
iex> receive do
...> {:hello, msg} -> msg
...> after
...> 1_000 -> "nothing after 1s"
...> end
"nothing after 1s"
A timeout of 0 can be given when you already expect the message to be in the mailbox.
Let's put all together and send messages between processes:
iex> parent = self()
#PID<0.41.0>
iex> spawn fn -> send(parent, {:hello, self()}) end
#PID<0.48.0>
iex> receive do
...> {:hello, pid} -> "Got hello from #{inspect pid}"
...> end
"Got hello from #PID<0.48.0>"
While in the shell, you may find the helper flush/0
quite useful. It flushes and prints all the messages in the mailbox.
iex> send self(), :hello
:hello
iex> flush()
:hello
:ok
11.3 Links
The most common form of spawning in Elixir is actually via spawn_link/1
. Before we show an example with spawn_link/1
, let's try to see what happens when a process fails:
iex> spawn fn -> raise "oops" end
#PID<0.58.0>
[error] Error in process <0.58.0> with exit value: ...
It merely logged an error but the spawning process is still running. That's because processes are isolated. If we want the failure in one process to propagate to another one, we should link them. This can be done with spawn_link/1
:
iex> spawn_link fn -> raise "oops" end
#PID<0.41.0>
** (EXIT from #PID<0.41.0>) an exception was raised:
** (RuntimeError) oops
:erlang.apply/2
When a failure happens in the shell, the shell automatically traps the failure and shows it nicely formatted. In order to understand what would really happen in our code, let's use spawn_link/1
inside a file and run it:
# spawn.exs
spawn_link fn -> raise "oops" end
receive do
:hello -> "let's wait until the process fails"
end
This time the process failed and brought the parent process down as they are linked. Linking can also be done manually by calling Process.link/1
. We recommend you to take a look at the Process
module for other functionality provided by processes.
Process and links play an important role when building fault-tolerant systems. In Elixir applications, we often link our processes to supervisors which will detect when a process dies and start a new process in its place. This is only possible because processes are isolated and don't share anything by default. And if processes are isolated, there is no way a failure in a process will crash or corrupt the state of another.
While other languages would require us to catch/handle exceptions, in Elixir we are actually fine with letting processes fail because we expect supervisors to properly restart our systems. "Failing fast" is a common philosophy when writing Elixir software!
Before moving to the next chapter, let's see one of the most common use cases for creating processes in Elixir.
11.4 Tasks
When making our processes crash in the previous section, you may have noticed the error messages were rather poor:
iex> spawn fn -> raise "oops" end
#PID<0.58.0>
[error] Error in process <0.58.0> with exit value: ...
With spawn/1
and spawn_link/1
functions, the error messages are generated directly by the Virtual Machine and therefore compact and lacking in details. In practice, developers would rather use the functions in the Task module, more explicitly, Task.start/1
and Task.start_link/1
:
iex(1)> Task.start fn -> raise "oops" end
{:ok, #PID<0.55.0>}
15:22:33.046 [error] Task #PID<0.55.0> started from #PID<0.53.0> terminating
Function: #Function<20.90072148/0 in :erl_eval.expr/5>
Args: []
** (exit) an exception was raised:
** (RuntimeError) oops
(elixir) lib/task/supervised.ex:74: Task.Supervised.do_apply/2
(stdlib) proc_lib.erl:239: :proc_lib.init_p_do_apply/3
Besides providing better error logging, there are a couple other differences: start/1
and start_link/1
return {:ok, pid}
rather than just the PID. This is what enables Tasks to be used in supervision tree. Furthermore, tasks provides convenience functions, like Task.async/1
and Task.await/1
, and functionality to ease distribution.
We will explore those functionalities in the Mix and OTP guide, for now it is enough to remember to use Tasks to get better logging.
11.5 State
We haven't talked about state so far in this guide. If you are building an application that requires state, for example, to keep your application configuration, or you need to parse a file and keep it in memory, where would you store it?
Processes are the most common answer to this question. We can write processes that loop infinitely, maintain state, and send and receive messages. As an example, let's write a module that starts new processes that work as a key-value store in a file named kv.exs
:
defmodule KV do
def start_link do
Task.start_link(fn -> loop(%{}) end)
end
defp loop(map) do
receive do
{:get, key, caller} ->
send caller, Map.get(map, key)
loop(map)
{:put, key, value} ->
loop(Map.put(map, key, value))
end
end
end
Note that the start_link
function basically spawns a new process that runs the loop/1
function, starting with an empty map. The loop/1
function then waits for messages and performs the appropriate action for each message. In case of a :get
message, it sends a message back to the caller and calls loop/1
again, to wait for a new message. While the :put
message actually invokes loop/1
with a new version of the map, with the given key
and value
stored.
Let's give it a try by running iex kv.exs
:
iex> {:ok, pid} = KV.start_link
#PID<0.62.0>
iex> send pid, {:get, :hello, self()}
{:get, :hello, #PID<0.41.0>}
iex> flush
nil
At first, the process map has no keys, so sending a :get
message and then flushing the current process inbox returns nil
. Let's send a :put
message and try it again:
iex> send pid, {:put, :hello, :world}
#PID<0.62.0>
iex> send pid, {:get, :hello, self()}
{:get, :hello, #PID<0.41.0>}
iex> flush
:world
Notice how the process is keeping a state and we can get and update this state by sending the process messages. In fact, any process that knows the pid
above will be able to send it messages and manipulate the state.
It is also possible to register the pid
, giving it a name, and allowing everyone that knows the name to send it messages:
iex> Process.register(pid, :kv)
true
iex> send :kv, {:get, :hello, self()}
{:get, :hello, #PID<0.41.0>}
iex> flush
:world
Using processes around state and name registering are very common patterns in Elixir applications. However, most of the time, we won't implement those patterns manually as above, but by using one of the many of the abstractions that ships with Elixir. For example, Elixir provides agents which are simple abstractions around state:
iex> {:ok, pid} = Agent.start_link(fn -> %{} end)
{:ok, #PID<0.72.0>}
iex> Agent.update(pid, fn map -> Map.put(map, :hello, :world) end)
:ok
iex> Agent.get(pid, fn map -> Map.get(map, :hello) end)
:world
A :name
option could also be given to Agent.start_link/2
and it would be automatically registered. Besides agents, Elixir provides an API for building generic servers (called GenServer), generic event managers and event handlers (called GenEvent), tasks and more, all powered by processes underneath. Those, along with supervision trees, will be explored with more detail in the Mix and OTP guide which will build a complete Elixir application from start to finish.
For now, let's move on and explore the world of I/O in Elixir.


Web Design
Marvellex Exchange Website
I developed the website and admin panel frontend for Marvellex crypto exchange platform.
Main Features:
A trade page consisting of live orderbooks, orders, charts and order forms
A convert crypto page for fast exchange, a markets list with live
A user dashboard which had withdrawal, deposit, history & security settings


 The File APIs give web applications the ability to do things like read files [a]synchronously, create arbitrary Blobs, write files to a temporary location, recursively read a file directory, perform file drag and drop from the desktop to the browser, and upload binary data using
{% blocktrans %}
As examples, the File APIs can be used to create a thumbnail preview of images as they're being sent to the server, or allow an app to save a file reference while the user is offline. Using the Web Audio API, your app could read an .mp3 file and display a visualization of the song as it plays. Additionally, you could use client-side logic to verify an upload's mimetype matches its file extension or restrict the size of an upload.
{% endblocktrans %}
XMLHttpRequest2
.
{% endblocktrans %}
File
, FileList
, FileReader
, Blob
." %}


An absolutely stunning one bedroom Victorian conversion flat, within a beautiful Grade II listed building, a truly rare find.


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CCP13 - Software Development for Fibre Diffraction
| Version 1.0: 20/04/98 | Richard Denny
|
|---|
Introduction
XFIX is designed to help ascertain some important parameters of a
fibre diffraction pattern with the aid of an OSF/Motif-based
graphical user interface (GUI). The job of the GUI is to handle the
display images, collect information specifying regions of the data
and to communicate with the program FIX which performs much of the
underlying data-processing.
Information such as the pattern centre, detector orientation,
fibre tilt can be estimated and refined and putative unit cells can
be plotted over the pattern. In addition, more general functions are
available such as the capability to plot and fit integrated slices or
scans through the pattern.
The XFIX Main Window
The top part of the main window is comprised of a menubar, some
text fields for displaying the current file name, the current frame
number, the (x,y) coordinates of the pointer, the (interpolated)
value at the pointer coordinates and two arrow buttons to switch
between images either side of a text field which indicates the
current image number. If no file has been specified, the image number
field is blank. Once a file has been specified, the first image
displayed (the whole frame) is numbered zero.
The middle part contains the large scrolled image area, the
magnified area, two text fields for specifying the current display
thresholds, two push buttons for inverting the current palette and
refreshing the display and a set of toggle buttons used to specify
subsequent behaviour and use of the pointer and mouse buttons.
The bottom part contains a scrolled text window for displaying
output from the processing program, FIX and commands sent to FIX by
the XFIX interface.
The File Menu
- New ...
This allows the user to specify a file using the BSL File
Selection interface. A new XFIX interface will then appear with
the specified file loaded.
- Open ...
This allows the user to specify a file using the BSL File
Selection interface. The specified file will then be loaded into
XFIX.
- Next Frame
This loads the next frame from a multi-frame file.
- Save As Postscript ...
This saves the current image as a Postscript file.
- Quit
This exits the program, subject to confirmation by the user.
The Edit Menu
- Parameters ...
This causes the Parameter Editor dialog to appear. This interface
is used to specify wavelength, sample to detector distance,
detector centre and orientation, sample tilt. If a calibration
ring is present on the image it may be useful to specify the
calibrant d-spacing in order to calculate the sample to detector
distance. Even if the default values for the wavelength and
calibrant d-spacing are known to be correct, it is necessary to
"OK" or "Apply" the values using this interface so that the sample
to detector distance is calculated.
- Objects ...
This causes the Object Editor dialog to appear. This interface
handles some of the items which can be collected from the data:
points, rectangles, polygons and sectors. These items can be
selected in the editor and will then be highlighted in image
window (objects are normally labelled white on a black background;
selection causes the background to become red). Selected objects
will be used if estimation of the pattern centre, detector
rotation or sample tilt is performed. If no objects are selected
and one of these functions is requested all objects will be used.
- Lines ...
This causes the Line Editor dialog to appear. This interface
handles lines and thicklines collected from the data. These items
are labelled white on a blue background; selection causes the
background to become green. Selected lines can be plotted or
fitted. If no lines are selected and plotting or fitting is
requested, all lines are processed.
- Scans ...
This causes the Scan Editor dialog to appear. This interface
handles radial or azimuthal scans collected from the data. These
items are labelled white on a blue background; selection causes
the background to become green. Selected scans can be plotted or
fitted with radial or azimuthal averaging. If no scans are
selected and plotting or fitting is requested, all scans are
processed.
- Cell ...
This interface is used to specify unit cell lengths and angles and
the missetting angles of the unit cell away from the fibre axis.
The cell parameters can be used to generate reciprocal lattice
points which are listed and mapped onto the diffraction pattern
within the specified resolution range.
The Estimate Menu
- Centre
The centre of the pattern is estimated using the objects defined
by the Object Editor. If three or more points are available, the
estimation is made by fitting a circle to the objects. If the
wavelength or calibrant spacing have been specified using the
Parameter Editor, the option is given to calculate the sample to
detector distance.
- Rotation
The rotation of the pattern is estimated using a pairs of objects
defined by the Object Editor. It is usually sufficient to select
one pair of objects related by mirror symmetry across the meridian
as the rotation can be refined later.
- Tilt
The tilt of the sample is estimated using a pairs of points
defined by the Object Editor. It is usually sufficient to select
one pair of points related by mirror symmetry (for an untilted
sample) across the equator as the tilt can be refined later.
The Process Menu
- List Objects
This causes FIX to calculate and list the filespace, standard
(i.e. centred and rotated) and reciprocal space coordinates for
each object if the required parameters have been entered or
determined for each calculation.
- Plot Lines ...
This causes selected lines to be plotted (and possibly fitted)
using the XFIT interface to FIT. If no lines are selected, all
lines are plotted.
- Plot Scans ...
This causes selected scans to be plotted (and possibly fitted)
using the XFIT interface to FIT. If no scans are selected, all
scans are plotted.
- Refine ...
This causes the Refine Dialog interface to appear. The parameters
for the refinement can be chosen and clicking on "OK" starts the
refinement. The refinement algorithm uses the current image as
data, mapping the coordinates of the image into the four quadrants
of reciprocal space in order to compare the data in the quadrants
and minimize the variance between quadrants. This means that the
current image should be carefully chosen (not too big, but not so
small that there is little contrast in the image, not too close to
the equator if sample tilt is being refined but the intensity on
the image should be present on all four quadrants of the image).
The Options Menu
- Palette >
This contains options for a grey scale and various colour
representations of the pixel values.
- Magnification >
This contains options for the factor applied in the magnification
window.
- Line Colour >
This contains options for the colour with which crosses, rectangles,
sectors and circles will be drawn.
- Lattice Point Colour >
This contains options for the colour with which lattice points
will be drawn.
- Log Scale
This causes subsequent threshold changes to scale the data on a
logarithmic scale.
- Interpolate
This causes subsequent images to be interpolated to fit the
current image window size. This happens automatically for zoomed
images.
- Fit Lines/Scans
This allows subsequent plots of lines or scans to be fitted.
- Show Lattice Points
This causes subsequently generated lattice points to be drawn onto
the current image. If there are any lattice points in memory,
these will be drawn immediately.
- Azimuthal Scan
This causes subsequently plotted scans to be integrated radially
and the integrated values to be plotted as a function of angle.
- Radial Scan
This causes subsequently plotted scans to be integrated
azimuthally and the integrated values to be plotted as a function
of radius.
The Help Menu
The HTML help documents are displayed in your current Netscape Web
browser.
Image Thresholds Selection
The threshold values for displaying the current image can be set
by editing the threshold text fields (labelled "High" and "Low") and
hitting <return>. When an image is first loaded, the thresholds
are set to the maximum and minimum values in the data for that image.
Inverting the Current Palette
The "Invert Palette" button reverses the colour scale of the
current palette.
Refreshing the Image Display
The "Refresh" button can be used to redraw the image windows. This
can be useful if another application has modified the colour map or
if it is desired to erase circles or crosses drawn by FIX.
Data Collection Tools
To facilitate collection of various data items from the current
image, a set of toggle buttons is provided which determine the
behaviour of the mouse buttons and pointer.
- Points
"Points" mode causes the image in the magnification window to
track the position of the pointer in the main image window. Points
can be created by clicking the left-hand mouse button.
Alternatively, tracking of the pointer can be frozen by clicking
on the middle mouse button and the point can then be positioned in
the magnification window using the left-hand mouse button.
Tracking of the pointer can be restarted by clicking on the
right-hand mouse button in either the main image or magnification
windows. On creation, the point is numbered and displayed in the
Object Editor.
- Lines
This mode allows lines to be created by holding down left-hand
mouse button and dragging the pointer to select the starting
point, the end point being selected in a similar way using the
middle mouse button. The line is not created until the right-hand
mouse button is pressed to indicate that the user is satisfied
with the start and end points selected. While the pointer is being
dragged, its position is tracked by the magnification window
unless the tracking has previously been frozen while the interface
was in "Points" mode. If this is the case, lines can also be
selected from the magnification window. On creation, the line is
numbered and displayed in the Line Editor.
- Thick Lines
This is similar to "Lines" mode except that the line is now
considered to have a width and is drawn as a rectangular box. The
width of the box can be adjusted by holding down the <shift>
key while holding down the left-hand mouse button and dragging the
pointer.
- Rectangles
This is essentially similar to "Lines" mode, except that the
left-hand mouse button selects the top left-hand corner of the
rectangle and the middle mouse button selects the bottom
right-hand corner of the rectangle. On creation, the centre of the
rectangle is marked with a cross and the rectangle is numbered (as
an object) and displayed in the Object Editor. Centring is
achieved by averaging data values along the perimeter of the
rectangle to obtain a background value. This value is then
subtracted from data points interior to the rectangle and the
centre of gravity of the modified values is calculated.
- Polygons
This is similar to "Rectangle" mode except that the left-hand
mouse button selects a vertex, the middle mouse button deletes the
last vertex and the right-hand mouse button closes and creates the
polygon.
- Sectors
This is essentially similar to "Rectangle" mode except that the
left-hand mouse button selects the starting angle and radius and
the middle mouse button selects the end angle and radius. Radii
are measured from the pattern centre as defined in the Parameter
Editor and angles are positive going anticlockwise on the image.
- Scans
This is similar to "Sector" mode except that the parameters
describing the area chosen are stored so that scans can be
produced: a radial scan implies averaging over an arc defined by the
azimuthal range for each radius while an azimuthal scan implies averaging
over radius. On creation, the scan is numbered and displayed in the Scan
Editor.
- Zoom
This is essentially similar to "Rectangle" mode except that the
rectangle chosen is blown up to the current size of the main image
window using bilinear interpolation to find intermediate pixel
values.
Plotting and Fitting
Lines and scans can be plotted and fitted using many of the
interfaces developed for the XFIT program which
utilizes PGPLOT
graphics. Plotting is activated using the "Plot Lines/Scans" button in
the "Process" menu. In the following description, where the word "line"
is used, "scan" could be substituted.
Channel Selection
When a line is plotted the distance between the start and end
points of the line is divided into a sequence of channels, the length
of a channel corresponding to the size of a data pixel. The values
placed into the channels are found by interpolation of the data
values. The first and last channels for plotting can be entered in
the Channel Dialog box which appears soon after plotting has been
activated. Clicking on the "Cancel" button in the Channel Dialog box
will cause XFIX to move on to the next line selected for plotting.
Plot Thresholds Selection
When the data for the line are plotted, the thresholds for the
plot will be the minimum and maximum channel values present in the
selected channels. If necessary, these can be altered by entering the
appropriate values into the Threshold dialog box. Clicking on the
"Cancel" button in the Threshold Dialog box will cause XFIX to move
on to the next line selected for plotting.
Selection of the region to be used in the fit
If the data is to be fitted ("Fit Lines/Scans" has been selected
in the "Options" menu), the user can choose to delimit the region to
be used in the fit using the Limit Dialog box. The limits can then be
selected by clicking on the plot with any mouse button. Once the limits
of the region have been selected, the plot will be redrawn using only
the required region.
Peak Type Selection
Six peak types are available:
| Peak type | Key | Parameters
|
|---|
| Gaussian | g | 3
|
| Lorentzian | c | 3
|
| Pearson VII | p | 4
|
| Voigt | v | 4
|
| Debye Gaussian chain scattering | d | 3
|
| Double exponential | x | 4
|
The selection is made by pressing the appropriate key while the
focus is in the plot window. All subsequent peaks will be of the same
type until a different peak type is selected. The default peak type
is Gaussian.
Peak Parameters
The formulae used for the different peak types give different
meanings to the descriptions width and shape. In what follows, the
position of the peak is assumed to be at the origin of the x-axis, h
is the height of the peak, w is the width and s is the shape. Peak widths
are the full width at half maximum (FWHM) unless otherwise stated.
Peak Parameter Selection
A peak of the current type is initialized for fitting to the data
when the left mouse button is pressed. The position of the peak is
determined by the X coordinate of the cursor when the button is
pressed. The width of the peak is determined simultaneously by the Y
coordinate of the cursor. The height of the peak is given by the Y
value of the data point nearest to the peak position.
Background Selection
A polynomial of degree 4 or less, expressed as
can be fitted as background to the data. The degree of the polynomial
can be selected by using the keys <1>,...,<4> while the
focus is in the plot window. The default polynomial degree is 3.
An exponential component can be added into the background by
pressing <e> while the focus is in the plot window. This will
add two parameters to the fit to define the exponential curve,
.
Once all the required peak and background parameters have been
initialized, selection can be terminated by clicking on the right
mouse button while the focus is in the plot window.
Controlling the fit
Some control over the fitting procedure can be excercised through
the Setup Dialog box. This interface provides a list of all the
parameters in the fit with their current values displayed in text
fields so that they can be easily modified. There is also an option
menu associated with each parameter. The following selections can be
made from this menu:
- Free - if a parameter has been previously constrained
using the other options, it is released to be a free parameter in
the fit.
- Set - fix the value of a parameter to the value in the
text field. The parameter is effectively removed from the fit.
- Limit... - this causes the Limit dialog box to appear.
This has a label to show you the parameter number you are limiting
and a brief description of the parameter. Two text fields are
available for setting limits on the value of the parameter. The
parameter number can be incremented by use of the arrow buttons
next to the parameter number. Activation of the arrow buttons has
the effect of applying the limits to the previous parameter.
- Tie... - this causes the Tie dialog box to appear. This
has a label to show you which parameter you are tying and a brief
description of the parameter. A text field is available for
setting the parameter number to which the dependent parameter will
be tied. A brief description of the independent parameter is
updated when the apply button is activated. An option menu is
available to specify the type of constraint to be applied to the
dependent parameter. These are either an equality constraint or
simple lattice constraints, i.e. applying (h,k) indices for
hexagonal and tetragonal lattice positions or (h,k,l) indices for
cubic lattice positions. These must be relative to the (1,0) or
(1,0,0) positions, respectively. The parameter number can be
incremented by use of the arrow buttons next to the parameter
number. Activation of the arrow buttons has the effect of applying
the tie constraint for the previous parameter. N.B. xfit always
ties the higher parameter number to the lower one and modifies the
Tie dialog and Setup dialog boxes to reflect this. It is not
possible to make a compound tie constraint unless the constraint
is one of equality, e.g. to tie parameter 8 to parameter 5 as the
(1,1) hexagonal position and then tie parameter 5 to parameter to
parameter 2 as the (2,0) tetragonal position.
The three buttons at the bottom of the Setup dialog box have the
following effects:
- PLOT - this allows you to plot the curve corresponding
to the (modified) parameter set.
- STEP - this makes <Step_its> linearized least-squares
iterations.
This is useful in seeing if the current model has a good chance of
converging to the global minimum. The refinement may converge
after a step. If the converged solution is satisfactory click on
"RUN" to continue.
- RUN - this allows the algorithm to continue to
convergence or to the maximum number of iterations (<+Max_its>
+ number of iterations already performed).
The algorithm is deemed to have converged when the following two conditions
are fulfilled:
- χ2current < χ2previous
- χ2previous - χ2current
< χ2current * <Chi-test>
After the "RUN" button has been activated, the parameter entries
and the buttons in the Setup dialog box will be made insensitive
and the Try Again confirm dialog box will appear.
Trying Again
Clicking on "Yes" in the "Try Again" Confirm Dialog box will give
you another attempt at fitting the current frame starting from the
point where you select the peak types, positions, etc. The Setup
Dialog box will disappear and the Information Dialog box will appear,
reiterating the procedure for setting up the initial model. Clicking
on "No" will cause XFIX to proceed onto the next line.


| Class Summary |
|
AnakiaTask
|
|
|
AnakiaXmlDocument
|
Customized XmlDocument for Anakia so that AnakiaXmlElements can be created
|
|
AnakiaXmlElement
|
A JDOM {@link Element} that is tailored for Anakia needs. It has
{@link #selectNodes(String)} method as well as a {@link #toString()} that
outputs the XML serialized form of the element. This way it acts in much the
same way as a single-element {@link NodeList} would.
|
|
Escape
|
This class is for escaping CDATA sections. The code was
"borrowed" from the JDOM code. I also added in escaping
of the " -> " character.
|
|
NodeList
|
Provides a class for wrapping a list of JDOM objects primarily for use in template
engines and other kinds of text transformation tools.
It has a {@link #toString()} method that will output the XML serialized form of the
nodes it contains - again focusing on template engine usage, as well as the
{@link #selectNodes(String)} method that helps selecting a different set of nodes
starting from the nodes in this list. The class also implements the {@link java.util.List}
interface by simply delegating calls to the contained list (the {@link #subList(int, int)}
method is implemented by delegating to the contained list and wrapping the returned
sublist into a NodeList).
|


Welcome to our website
Here you have the chance to be creative and create your OWN quiz
Keep scrolling down to discover more quizzes that you can solve.
Categories
Math
Languages
Science
Programming
Fun
Geography
Welcome to our website
Here you have the chance to be creative and create your OWN quiz
Keep scrolling down to discover more quizzes that you can solve.
Math
Languages
Science
Programming
Fun
Geography


Before Change
g = sorted(g, reverse=True)
S = sign_round_up(Y)
Z = np.asarray(AT_linear_operator.matmat(S))
h = np.max(np.abs(Z), axis=1)
// If this algorithm runs for fewer than two iterations,
// then its return values do not have the properties indicated
// in the description of the algorithm.
// In particular, the entries of g are not 1-norms of any
// column of A until the second iteration.
// Therefore we will require the algorithm to run for at least
// two iterations, even though this requirement is not stated
// in the description of the algorithm.
if k >= 2:
if less_than_or_close(max(h), np.dot(Z[:, best_j], X[:, best_j])):
break
h_i_pairs = zip(h, range(n))
h, ind = zip(*sorted(h_i_pairs, reverse=True)[:t])
for j in range(t):
X[:, j] = elementary_vector(n, ind[j])
// Check invariant (2.2).
After Change
if k >= 2:
if less_than_or_close(max(h), np.dot(Z[:, best_j], X[:, best_j])):
break
ind = np.argsort(h)[::-1][:t]
h = h[ind]
for j in range(t):
X[:, j] = elementary_vector(n, ind[j])
// Check invariant (2.2).


iOS 7 - Skeuomorphic & Flat
31 Oct 2013Ok, that title may sound like link bait but this topic needs just one more opinion. You may have heard about this year’s most polarizing design topic: the shift from “skeuomorphic” to “flat” design in the latest version of iOS. Like many designers, I’m an Apple devotee and like many designers, I have admired recent so-called ‘flat’ interfaces from competitors and was hoping Apple would make a big splash with this version of iOS. I upgraded to the iPhone 5s, from a 4s, and have lived with iOS 7 for a few weeks. I have some thoughts:
Skeuomorphic design is misunderstood. It’s characterized by visual treatments like faux leather and woodgrain but thats only the visual style aspect, at it’s roots skeuomorphism is about creating interfaces that reference real world patterns. A simple example is an icon of an analog clock. Modern devices have no requirement to represent time using this ancient pattern from the physical realm, but because it’s so ubiquitous, it’s the perfect symbol for anything time related. The physical symbol makes the perfect digital symbol.
Over time Apple, and others, took this successful principle and went too far toward replicating realistic visual treatments. Does a calendar app function better when it visually mimics the one that used to be on your desk, replete with paper textures and torn edges? I don’t think so. As a reaction and to differentiate competitors choose a different approach that contrasts this visual style with something called flat design.
Flat design, although often contrasted with skeuomorphic design, is not a its true opposite. Flat design is a reactive style that favors simplicity over embellishment, but it doesn't eliminate references to the physical realm. Instead of using detailed textures and elaborate shadows, it relies on simple graphic elements of color, grid, and typography to convey meaning to the user.
My take is that iOS 7 is both skeuomorphic and flat. The big news was that Apple made a dramatic switch. Yes, the overwrought textures are gone (with a few exceptions) but the untold story is that many realistic symbols remain. The clock icon is still analog. The calendar app still uses the familiar grids established long ago to layout years, months, and weeks. The container where your email goes is still called the inbox. These are skeumorphs of the real world, yet they can be used without the corresponding visual style, as evidenced in iOS 7.
So everyone calm down and find something new to debate. Skeuomorphic and flat design can get along just fine.


Juan Nunez-Iglesias
is a bioinformatics
researcher with special interests in neuroscience, image analysis,
and computer vision. His undergraduate training was in genetics
and biochemistry, but he gradually became more
computationally-focused, and now he's a core developer for
scikit-image, a major open-source
library.


All of this code will be inserted into the widget
Column 1
Column 2
Value 1
Value 2
... stuff that is going to be in the widget


Giggy
Acts
Venues
Edit profile
Contact
Log Out
Chose a Picture for Your Profile
Profile Settings
Name
Phone Number
Email
County
City
Save Profile
I am a venue looking for an act
I am an act looking for a venue
What type of music do you provide?
Rock
Pop
Jazz
Country
Enter Description:


Graphs
public enum Graphs
A namespace for graph-related functions.
-
Runs breadth first search on
graph
;visitor
is notified at regular intervals during the search.Precondition
colorMap
must be initialized for everyVertexId
inGraph
to be.white
. (Note: this precondition is not checked.)Precondition
startVertices
is non-empty.Declaration
Swift
public static func breadthFirstSearch< SearchSpace: IncidenceGraph & VertexListGraph, UserVisitor: BFSVisitor, StartVertices: Collection >( _ graph: inout SearchSpace, visitor: inout UserVisitor, startAt startVertices: StartVertices ) throws where UserVisitor.Graph == SearchSpace, StartVertices.Element == SearchSpace.VertexId, SearchSpace.VertexId: IdIndexable
-
Runs breadth first search on
graph
usingcolorMap
to keep track of search progress;visitor
is notified at regular intervals during the search.Precondition
colorMap
must be initialized for everyVertexId
inGraph
to be.white
. (Note: this precondition is not checked.)Precondition
startVertices
is non-empty.Declaration
Swift
public static func breadthFirstSearch< SearchSpace: IncidenceGraph, UserVisitor: BFSVisitor, ColorMap: MutableGraphVertexPropertyMap, StartVertices: Collection >( _ graph: inout SearchSpace, visitor: inout UserVisitor, colorMap: inout ColorMap, startAt startVertices: StartVertices ) throws where UserVisitor.Graph == SearchSpace, ColorMap.Graph == SearchSpace, ColorMap.Value == VertexColor, StartVertices.Element == SearchSpace.VertexId
-
Runs depth first search on
graph
starting atstartVertex
usingcolorMap
to keep track of visited vertices;visitor
is called regularly to allow arbitrary state to be computed during search.Note
graph
is takeninout
because thecolorMap
orvisitor
may store data within the graph itself.Precondition
ColorMap
has been initialized for every vertex to.white
.Declaration
Swift
public static func depthFirstSearchNoInit< Graph: IncidenceGraph & VertexListGraph, ColorMap: MutableGraphVertexPropertyMap, Visitor: DFSVisitor >( _ graph: inout Graph, colorMap: inout ColorMap, visitor: inout Visitor, start startVertex: Graph.VertexId ) throws where ColorMap.Graph == Graph, ColorMap.Value == VertexColor, Visitor.Graph == Graph
-
Runs depth first search repeatedly until all vertices have been visited.
Declaration
Swift
public static func depthFirstTraversal< Graph: IncidenceGraph & VertexListGraph, Visitor: DFSVisitor >( _ graph: inout Graph, visitor: inout Visitor ) throws where Visitor.Graph == Graph, Graph.VertexId: IdIndexable
-
Executes Dijkstra’s graph search algorithm, without initializing any data structures.
This function is designed to be used as a zero-overhead abstraction to be called from other graph algorithms. Use this overload if you are interested in manually controlling every aspect. If you would like a higher-level abstraction, consider
dijkstraSearch
.Declaration
Swift
public static func dijkstraSearch< SearchSpace: IncidenceGraph, Distance: GraphDistanceMeasure, EdgeLengths: GraphEdgePropertyMap, DistancesToVertex: MutableGraphVertexPropertyMap, ColorMap: MutableGraphVertexPropertyMap, UserVisitor: DijkstraVisitor >( _ graph: inout SearchSpace, visitor userVisitor: inout UserVisitor, colorMap: inout ColorMap, distancesToVertex: inout DistancesToVertex, edgeLengths: EdgeLengths, startAt startVertex: SearchSpace.VertexId ) throws where SearchSpace.VertexId: IdIndexable, EdgeLengths.Graph == SearchSpace, EdgeLengths.Value == Distance, DistancesToVertex.Graph == SearchSpace, DistancesToVertex.Value == Distance, ColorMap.Graph == SearchSpace, ColorMap.Value == VertexColor, UserVisitor.Graph == SearchSpace
-
Executes Dijkstra’s search algorithm over
graph
fromstartVertex
using edge weights fromedgeLengths
, callinguserVisitor
along the way.Declaration
Swift
public static func dijkstraSearch< SearchSpace: IncidenceGraph & VertexListGraph, Distance: GraphDistanceMeasure, EdgeLengths: GraphEdgePropertyMap, UserVisitor: DijkstraVisitor >( _ graph: inout SearchSpace, visitor userVisitor: inout UserVisitor, edgeLengths: EdgeLengths, startAt startVertex: SearchSpace.VertexId ) throws -> TableVertexPropertyMap<SearchSpace, Distance> where SearchSpace.VertexId: IdIndexable, EdgeLengths.Graph == SearchSpace, EdgeLengths.Value == Distance, UserVisitor.Graph == SearchSpace
-
Computes a topological sort of
graph
.Throws
if a cycle is detected.Declaration
Swift
public static func topologicalSort<Graph: IncidenceGraph & VertexListGraph>( _ graph: inout Graph, reverseSink: (Graph.VertexId) -> Void ) throws where Graph.VertexId: IdIndexable
Parameters
graph
the graph upon whose vertices the topological sort will be computed.
reverseSink
this function will be called once for every vertex in reverse topological sort order.
-
Computes a topological sort of
graph
.A topological sort means that for every 0 <= i < j < graph.vertexCount, there does not exist an edge from
returnValue[j]
toreturnValue[i]
(i.e. backwards in the array).Throws
if a cycle is detected.Declaration
Swift
public static func topologicalSort<Graph: IncidenceGraph & VertexListGraph>( _ graph: inout Graph ) throws -> [Graph.VertexId] where Graph.VertexId: IdIndexable


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