UTC -5
Voltage: 120 V
Frequency: 60 Hz
Cordoba (C$) of 100 centavos.
International dialing code for Nicaragua is +505.
In all of the bigger cities good mobile phone coverage, and next to the main roads more antennas are planted to ensure coverage for the ones on the road. The GSM 1900 network is used in Nicaragua, so be sure to check that your phone supports this system. You can buy a SIM-card in Nicaragua for only a couple dollars, which enables you to have your own Nicaraguan cell phone number and to make local calls charged at local rates.
Internet connections are available in many cities and towns, be it not very fast but the coverage is significant. The government subsidizes internet cafes and internet is consequently available at cheap rates throughout the country.
If possible use radio-dispatched taxis. If you get a taxi on the street, use an authorised taxi, which has red plates, and the driver’s identification number, name and photograph clearly visible on the dashboard. Take note of the colour and number of the vehicle before you get in. Avoid sharing taxis with strangers. Always agree the fare before you set off.
Do not travel on buses at night.
Police - Dial 118
Fire Service - Dial 115
IMRAY AND ADLARD COLES PILOT BOOKS are available at a discounted price for Noonsite.com users via
World Cruising Club
Explore Central America - Part 1
Published January 2007 (13th ed. Aug. 2011, continually updated)
This is an e-book available from www.sailsarana.com/guide
The most comprehensive guides ever written about cruising the Pacific coast of
Central America from Mexico to the Panama Canal. In a two part set, these books
provide over 325 GPS waypoints, over 112 charts and city maps, detailed weather
descriptions, forecasting information and surfing locations. These books highlight dozens of anchorages not in other books and tons of local information that sailors care about. Also included are detailed procedures for clearing into and out of the Central American countries as well as Ecuador, the Galapagos and Mexico.
A Thinking Mans Guide to Voyages South - the Many Facets of Caribbean
Cruising
Author: Frank Virgintino
Published by Lulu: June 2011
ISBN 978 1 105 62982-2
Available at Kindle as well as all other EPub bookstores
2nd Edition now available as Free download at:
www.freecruisingguide.com
See Noonsite reviews here
2nd edition includes expanded section on the options to leave the North American Coast as well as addition work in "Quandrant N". Figures have been enhanced for greater clarity and index with active table of contents included.
Cruising Guide to the Caribbean: Including the North Coast of South America, Central America and Yucatan
By William T. Stone
Publisher: Sheridan House; 2nd Revised edition edition (Aug. 21 1998)
ISBN-13:<PHONE_NUMBER>579
Cruising Ports:The Central American Route
By Pat Rains
Publisher: Point Loma Publishing (6.5 edition (March 31, 2011)
ISBN-13:<PHONE_NUMBER>027
See www.MexicoBoating.com for further details.
This book covers Pacific Central America (Guatemala, El Salvador, Nicaragua, Costa Rica, Pacific Panama) plus Mexico’s Gulf Coast to Veracruz, then NW Yucatan, NW Cuba, Yucatan Channel, Belize, Rio Dulce, Honduras and the Bay Islands, the Western Caribbean islands & banks, Panama’s Caribbean cruising grounds. This book culminates in Panama Canal Transit.


--- layout: documentation title: ToolInformationType ---
The ToolInformationType is intended to characterize the properties of a hardware or software tool, including those related to instances of its use. It is extended from an identically-named type in CybOX and adds standard STIX descriptive fields.
| Field Name | Type | Description |
|---|---|---|
| @idoptional | QName |
The id field specifies a unique ID for this Tool. |
| @idrefoptional | QName |
The idref field specifies reference to a unique ID for this Tool. When idref is specified, the id attribute must not be specified, and any instance of this type should not hold content unless an extension of the type allows it. |
| Name0..1 | string |
This field contains the name of the tool leveraged. |
| Type0..n | ControlledVocabularyStringType |
This field contains the type of the tool leveraged. This field is implemented through the xsi:type controlled vocabulary extension mechanism. No default vocabulary type has been defined for CybOX 2.0. Users may either define their own vocabulary using the type extension mechanism (by specifying a vocabulary name and/or reference using the vocab_name and vocab_reference attributes, respectively) or simply use this as a free string field. Additionally, locations where the ToolInformationType is used may define default vocabularies for this field. |
| Description0..1 | StructuredTextType |
This field contains general descriptive information for this tool. |
| References0..1 | ToolReferencesType |
This field contains references to instances or additional information for this tool. |
| Vendor0..1 | string |
This field contains information identifying the vendor organization for this tool. |
| Version0..1 | string |
This field contains an appropriate version descriptor of this tool. |
| Service_Pack0..1 | string |
This field contains an appropriate service pack descriptor for this tool. |
| Tool_Specific_Data0..1 | ToolSpecificDataType |
This is an abstract type provided to a flexible mechanism for enabling tool-specific data to be included. |
| Tool_Hashes0..1 | HashListType |
This field contains a hash value computed on the tool file content in order to verify its integrity. |
| Tool_Configuration0..1 | ToolConfigurationType |
This field contains information describing the configuration and usage of the tool. |
| Execution_Environment0..1 | ExecutionEnvironmentType |
This field contains information describing the execution environment of the tool. |
| Errors0..1 | ErrorsType |
This field captures any errors generated during the run of the tool. |
| Metadata0..n | MetadataType |
This field captures other relevant metadata including tool-specific fields. |
| Compensation_Model0..1 | CompensationModelType |
This field contains the name of the compensation model used for the tool. |
| Title0..1 | string |
The Title field provides a simple title for a single tool leveraged by this TTP item. |
| Short_Description0..1 | StructuredTextType |
The Short_Description field is optional and provides a short, unstructured, text description of a single tool leveraged by this TTP item. |


Recommendations for early detection
An MRI and a mammogram every year is
recommended.
High risk women include -
Women with a known BRCA1 or BRCA2
gene mutation
Women who have a first-degree relative
(parent, brother, sister, or child) with a
BRCA1 or BRCA2 gene mutation
Women having a lifetime risk of breast
cancer of 20% to 25% or greater,
according to risk assessment tools
Women who have had radiation therapy to the chest when they were between the ages of 10 and 30 years
Women having syndromes such as Li-Fraumeni, Cowden, or Bannayan-Riley-Ruvalcaba, or having one of these syndromes in first-degree relatives.


Posted by Shuang on August 30, 2021
Posted by Shuang on August 16, 2021
Posted by Shuang on August 12, 2021
Posted by Shuang on October 30, 2019
Posted by Shuang on September 6, 2019
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For the lucky station我的转身，只留给你背影


WITNESS LIST Higher Education Committee December 11, 2000-10:00A State-By-State Report Card On: Almendarez, Dr. Arturo (Texas Education Agency) Brown, Dr. Don W. (Texas Higher Education Coordinating Board) Burck, Mr. Dan (The University of Texas System) Craycraft, Dr. Kenneth (Texas State University System) Graves, Mr. Howard (Texas A&M University System) Hurley, Dr. Alfred (University of North Texas System) Moon, Dr. Henry (Midwestern State University) Scott, Mr. Tom (The University of Texas System) Segura, Dr. Bill (Texas State Technical College System) Smisko, Dr. Ann (Texas Education Agency) Stuart, Dr. Ann (Texas Woman's University) Treisman, Dr. Philip Uri (Self and The National Center for Public Policy and Higher Education) Registering, but not testifying: On: Calvert, Dr. Stanton (Texas A&M University System) Castillo, Dr. Max (University of Houston-Downtown) Crowe, Dr. Bill (Self and Tyler Junior College and The Texas Association of Community Colleges) Sanders, Mr. Mike (Texas Tech University System) Slade, Dr. Priscilla (Texas Southern University) Smith, Dr. Roland (Stephen F. Austin State University)


--- layout: post title: 10g Admin Workshop II Student Guide II date: 2008-04-13 20:42:41.000000000 +09:30 type: post published: true status: publish categories: - Oracle tags: [study] meta: posturl_add_url: 'yes' _edit_last: '1' views: '725' ---
I don't think the book "Admin Workshop II" worths reading by myself after a time of study. It's too simple for concept and explain. Maybe it's not a good ideal when I not finished it. But I thinks if I finish it not clearly and waste a lot time, I'm really fool!
I will read the Student Guide II from now on, I hope I can finish it this month. Then I will go and pass the 1Z043 test.


Torrent Service Documentation¶
The torrent service is quite simple. It gets information from http://torrentapi.org/
for a specific category (or all categories at once). This returns an array of torrents
which is sorted by seeds
(meaning those that are being shared the most). The service gets
the top 7 of these and processes them into a formated dictionary, see
GET /categories/(category) for an example. The service then
returns these as a list of JSON
objects to the user.
While processing the torrents, if one is encountered that has category of movies
or of
TV-series
then the service will automatically ask http://www.omdbapi.com/
for extra
information about them (once again, see GET /categories/(category)
for an example). This extra information will be added to the respective JSON object and will be
sent with the data as part of the response.
Required Authentication¶
Anyone can consume the torrent service without need of authentication. However, the torrent service
does need to authenticate with both http://torrentapi.org/
and http://www.omdbapi.com/
.
http://www.omdbapi.com/
requires one to sign up and obtain an API key which we just need to send
with every request we make as part of the request parameters.
For http://torrentapi.org/
we ask for a token programatically. This token expires after a certain
period of time so we need to monitor that it is still valid and renew it if needed. For torrentapi we
also need to specify an application name which authenticates us with the service.
Endpoint Reference Table¶
| Resource | Operation | Description |
|---|---|---|
| Get Categories | GET /categories | Returns the supported categories. |
| Get Category Information | GET /categories/(category) | Returns top torrents for the specified category. |
Endpoint Documentation¶
-
GET
/categories
¶ Returns the supported categories. This is basically always the same content, and the categories are hardcoded in the service, so that is why it is not possible for this to fail.
Example request:
GET /categories HTTP/1.1 Host: https://torrent-service-sde.herokuapp.com Accept: application/json
Example response:
HTTP/1.1 200 OK Vary: Accept Content-Type: application/json { "categories": [ "software", "ebooks", "movies", "TV-series", "music", "games", "all" ] }
Status Codes: - 200 OK – able to list categories
-
GET
/categories/
(category)¶ Asks the torrent information provider for torrents about the specified category and returns top torrents as dictionaries with the keys already properly formatted. If the specified category is either movie or TV-series then the service will also include IMDB information as part of the return data.
For all categories the service returns: Title, Seeders, and Leechers. When the category is movie or TV-series then the service also returns the following information for each torrent:
- Runtime
- Genre
- Director
- Awards
- Rating
- Plot
This service only returns data on the top 7 torrents.
Example request:
GET /categories/movies HTTP/1.1 Host: https://torrent-service-sde.herokuapp.com Accept: application/json
Example response: (note that we’re only showing one result in the response, so as to save space, but usually there would be 7)
HTTP/1.1 200 OK Vary: Accept Content-Type: text/javascript { "data": [ { "Title": "The Girl in the Spider's Web", "Seeders": 5644, "Leechers": 2568, "Runtime": "117 min", "Genre": "Action, Crime, Drama, Thriller", "Director": "Fede Alvarez", "Awards": "N/A", "Rating (IMDB)": "6.1", "Plot": "Young computer hacker Lisbeth Salander and journalist Mikael Blomkvist find themselves caught in a web of spies, cybercriminals and corrupt government officials." }, ] }
Query Parameters: - category – the category we’re interested in getting information about
Status Codes: - 400 Bad Request – the specified category is not valid
- 200 OK – data for category has been successfully found


BluetoothError
public enum BluetoothError : Error
extension BluetoothError: CustomStringConvertible
extension BluetoothError: Equatable
Bluetooth error which can be emitted by RxBluetoothKit created observables.
-
Emitted when the object that is the source of Observable was destroyed and event was emitted nevertheless. To mitigate it dispose all of your subscriptions before deinitializing object that created Observables that subscriptions are made to.
Declaration
Swift
case destroyed
-
Undocumented
Declaration
Swift
case scanInProgress
-
Undocumented
Declaration
Swift
case advertisingInProgress
-
Undocumented
Declaration
Swift
case advertisingStartFailed(Error)
-
Undocumented
Declaration
Swift
case bluetoothUnsupported
-
Undocumented
Declaration
Swift
case bluetoothUnauthorized
-
Undocumented
Declaration
Swift
case bluetoothPoweredOff
-
Undocumented
Declaration
Swift
case bluetoothInUnknownState
-
Undocumented
Declaration
Swift
case bluetoothResetting
-
Undocumented
Declaration
Swift
case peripheralIsAlreadyObservingConnection(Peripheral)
-
Undocumented
Declaration
Swift
case peripheralIsConnectingOrAlreadyConnected(Peripheral)
-
Undocumented
Declaration
Swift
case peripheralConnectionFailed(Peripheral, Error?)
-
Undocumented
Declaration
Swift
case peripheralDisconnected(Peripheral, Error?)
-
Undocumented
Declaration
Swift
case peripheralRSSIReadFailed(Peripheral, Error?)
-
Undocumented
Declaration
Swift
case servicesDiscoveryFailed(Peripheral, Error?)
-
Undocumented
Declaration
Swift
case includedServicesDiscoveryFailed(Peripheral, Error?)
-
Undocumented
Declaration
Swift
case addingServiceFailed(CBService, Error?)
-
Undocumented
Declaration
Swift
case characteristicsDiscoveryFailed(Service, Error?)
-
Undocumented
Declaration
Swift
case characteristicWriteFailed(Characteristic, Error?)
-
Undocumented
Declaration
Swift
case characteristicReadFailed(Characteristic, Error?)
-
Undocumented
Declaration
Swift
case characteristicNotifyChangeFailed(Characteristic, Error?)
-
Undocumented
Declaration
Swift
case characteristicSetNotifyValueFailed(Characteristic, Error?)
-
Undocumented
Declaration
Swift
case descriptorsDiscoveryFailed(Characteristic, Error?)
-
Undocumented
Declaration
Swift
case descriptorWriteFailed(Descriptor, Error?)
-
Undocumented
Declaration
Swift
case descriptorReadFailed(Descriptor, Error?)
-
Undocumented
Declaration
Swift
case openingL2CAPChannelFailed(Peripheral, Error?)
-
Undocumented
Declaration
Swift
case publishingL2CAPChannelFailed(CBL2CAPPSM, Error?)
-
Undocumented
Declaration
Swift
case unknownWriteType
-
Human readable description of bluetooth error
Declaration
Swift
public var description: String { get }


{% extends "base_generic.html" %} {% block pagetitle %}Delete{% endblock %} {% block content %}
Are you sure you want to delete this {{ object_type }}? This action cannot be undone.
{{ object_to_be_deleted }}


| HOME | DOWNLOAD | DOCUMENTATION | FORUM | FAQ |
> Home > Documentation > Other
WIGNER3J(1) SHTOOLS 2.6 WIGNER3J(1)
Wigner3j
Wigner3j - Compute the Wigner-3j symbols for all allowable values of J.
SYNOPSIS
SUBROUTINE Wigner3j ( W3J, JMIN, JMAX, J2, J3, M1, M2, M3 ) REAL*8 W3J(J2+J3+1) INTEGER JMIN, JMAX, J2, J3, M1, M2, M3
DESCRIPTION
Wigner3j will calculate the Wigner 3J symbols / J J2 J3 \ \ M1 M2 M3 / for all allowable values of J. The returned values in the array W3J are calculated only for the limits JMIN = max(|J2-J3|, M1|) and JMAX = J2 + J3. To be non-zero, M1 + M2 + M3 must equal 0. It is assumed that all Js and Ms are integers. Returned values have a relative error less than ~1.d-8 when J2 and J3 are less than about 100 (see NOTES below). In practice, this routine is probably usable up to about 165. The employed algorithm is based upon the stable non-linear recurrence relations of Luscombe and Luban (1998) for the "non classical" regions near JMIN and JMAX. The direction of the iteration starts from low values of J to high values, but when abs(W3J(J+2)/W3J(J)) is less than one, the iteration will restart from high to low values. For the classical region, the standard three term recursion relationship is used (e.g., Schulten and Gordon 1975). As this three term recursion can lead to overflows, the values are rescaled by a factor "scalef" whenever the absolute value of the 3j coefficient becomes greater than unity. More efficient algorithms probably exist for specific cases (for instance, when all Ms are zero).
ARGUMENTS
W3J (output) REAL*8, DIMENSION (J2+J3+1) An array of the Wigner-3j symbols evaluated for all allowable values of J. The minimum and maximum values of J are given by JMIN and JMAX. JMIN (output) INTEGER The minimum value of J in the array W3J. This corresponds to the first element of W3J. JMAX (output) INTEGER The maximum value of J in the array W3J. This corresponds to the last non-zero element of W3J. J2 (input) INTEGER A positive integer. J3 (input) INTEGER A positive integer. M1 (input) INTEGER An integer. M2 (input) INTEGER An integer. M3 (input) INTEGER An integer.
NOTES
The results of this routine have been verified against the same routine run in quadruple precision. For 1.e7 acceptable random values of J2, J3, M2, and M3 between -200 and 200, the relative error was calculated only for those 3j coefficients that had an absolute value greater than 1.d-17 (values smaller than this are for all practical purposed zero, and can be heavily affected by machine roundoff errors or underflow). 853 combinations of parameters were found to have relative errors greater than 1.d-8. Here I list the minimum value of max(J2,J3) for different ranges of error, as well as the number of times this error occurred: (103) ; 1.d-7 < error <=1.d-8 ; Number of occurrences = 483 (116) ; 1.d-6 < error <= 1.d-7 ; Number of occurrences = 240 (165) ; 1.d-5 < error <= 1.d-6 ; Number of occurrences = 93 (167) 1.d-4 < error <= 1.d-5 ; Number of occurrences = 36 Many times (maybe always), the large relative errors occur when the 3j coefficient changes sign and is very close to zero (i.e., adjacent values are about 1.e7 times greater in magnitude). Thus, if one does not need to know highly accurate values of the 3j coefficients when they are almost zero (i.e., ~1.e-10) then this routine is probably usable up to about 160. These results have also been verified for parameter values less than 100 using a code based on the algorith of de Blanc (1987), which was originally coded by Olav van Genabeek, and modified by M. Fang. (This code was run in quadruple precision and only calculates one coefficient for each call.) Maximum relative errors between the two routines were less than 1.d-8 for a large number of values (again, only 3j coefficients greater than 1.d-17 were considered here).
SEE ALSO
<http://www.ipgp.jussieu.fr/~wieczor/SHTOOLS/SHTOOLS.html>
REFERENCES
Luscombe, J. J., and M. Luban, Simplified recursive algorithm for Wigner 3j and 6j symbols, Phys. Rev. E, 57, 7274-7277, 1998. Schulten, K., and R. G. Gordon, Exact recursive evaluation of 3j-coefficients and 6j-coefficients for quantum-mechanical coupling of angular momenta, J. Math. Phys., 16, 1961-1970, 1975.
COPYRIGHT AND LICENSE
Copyright 2005-2009 by Mark Wieczorek<EMAIL_ADDRESS>This is free software; you can distribute and modify it under the terms of the revised BSD license. SHTOOLS 2.6 2009-08-21 WIGNER3J(1)
> Home > Documentation > Other
| Centre National de la Recherche Scientifique | Institut de Physique du Globe de Paris | © 2011 Mark Wieczorek |


You decided to sell your virginity, the allure of the money got the best of you. However, it didn't turn out the way you expected it. It was a much more painful and traumatic experience than you had expected. The young man whom you'd sold yourself too, also insisted on not wearing a condom, which was Banu's first rule. But the man insisted that he had paid for a virgin and that's what he was going to get, he would only pay a fifth of what he offered from the beginning if he was forced to wear a condom. You were a fool and greedy, you saw the chance to get out of here and start a new life in a Western country. You received the money, said goodbye to Banu, and thanked her, and left. You bought a one-way plane ticket to Canada.
   A fresh start.  Whose name you don't even know. You don't even live in the same country anymore. You felt hopeless, and you were debating having an abortion, but you couldn't do this. Not to an innocent baby. Yes, the father is a scumbag, but the child is completely innocent. You also had the option of putting the baby up for adoption, but that felt wrong to you. Knowing that your baby is somewhere else, with someone else. Loving someone else. You have left everyone who loves you behind. You had always hoped of starting a family of your own at one point in your life. But that point wasn't now, and not alone. You decided that you have to keep the baby.


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Welcome to the 58th edition of #traveldigest! Enjoy!
As always all posts featured here will be put on our Editors Choice Map.
 Most notably, I've made Steemitworldmap cross browser compatible. If you would still experience issues using either Firefox or Edge, let me know!
If you want to learn more about Steemit Worldmap, you can check the introduction post or check the FAQ section on the website!
#1 Florianópolis - The Magic Island
@philippbuxbaum takes us to the island of Florianópolis in Brazil. We get an extended tour through what indeed seems to be a magic island! From the city onto a little fisher village with one stunning beach after the other thrown in between. This post is seriously amazing, with good information and incredible imagery!
Steemit Worldmap Links:
Author Map, Post Map
#2 Canadian Rockies: The detour via Jasper
@ladybug146 takes us to Jasper National Park in Canada. We get a very personal blog here and really get to have the entire experience the way @ladybug146 had it. From icy mountain roads, to snow covered fields and herds of elk. This post has it all packaged up nicely. It's well written, personal and holds incredible images of the area.
Steemit Worldmap Links:
Author Map, Post Map
#3 Waterfall in Switzerland and How to Find It
@sniffbiff takes us to a waterfall in the Canton Tessin, Switzerland. I think travel-wise the 4k videos from @sniffbiff are some of the best I've seen, and in this post it's no different. It immediately drags you into the place and makes you want to go there yourself. Now, seeing as the waterfall requires a bit of a hike to get to, @sniffbiff explains us the route and adds some beautiful pictures from during the hike as well!
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THE WATERMELON WOMAN A film review by James Berardinelli Copyright 1996 James Berardinelli
RATING (0 TO 10): 7.0 Alternative Scale: *** out of ****
United States, 1996 Running Length: 1:22 MPAA Classification: No MPAA Rating (Profanity, sex, nudity) Theatrical Aspect Ratio: 1.85:1 Shown at the Philadelphia Festival of World Cinema, 5/8/96, 5/10/96, 5/12/96
Cast: Cheryl Dunye, Guinevere Turner, Valerie Walker, Lisa Marie Bronson, Toshi Reagon, Camille Paglia Director: Cheryl Dunye Producers: Barry Swimar, Alexandra Juhasz Screenplay: Cheryl Dunye Cinematography: Michelle Crenshaw
Most gay and lesbian-themed movies focus on the search for a perfect mate. Cheryl Dunye's THE WATERMELON WOMAN, which won the Teddy Bear award for best gay feature film at the Berlin Film Festival, is a rare, and welcome, exception. Sure, love and sex are elements of THE WATERMELON WOMAN, but this film is about much more. Dunye spends a lot more time out of the bedroom than inside it in this funny, insightful look at a young lesbian film maker tracking the real life story of the subject of her documentary.
Dunye plays Cheryl, a Philadelphia video store clerk who's making a movie on the side. It's about "the Watermelon Woman", an obscure black actress who had bit parts in a number of pre-1950 motion pictures with titles like PLANTATION MEMORIES. As Cheryl digs for facts about the woman, she discovers a surprising number of similarities between herself and her subject. The Watermelon Woman, actually named Faye Richards, was a lesbian who lived in Philadelphia, didn't conceal her lifestyle, and loved movies. Cheryl becomes obsessed about learning everything she can about Faye, and her hunt leads her to friends and intimates of the late actress.
THE WATERMELON WOMAN is also about Cheryl's personal life, which ultimately becomes entwined with her film making. Her best friend, who also works with her at the video store, is an acid-tongued lesbian named Tamara (Valerie Walker). Tamara objects to Cheryl's burgeoning relationship with a white woman, Diana (Guinevere Turner), and keeps trying to set her best friend up with other, usually off-the-wall, black lesbians. It doesn't work, though -- Cheryl's attraction to Diana is too strong.
Dunye frequently interrupts her narrative for person-on-the-street interviews, several of which are very funny. Some of the responses to the question she asks, "Do you know who the Watermelon Woman is?" are sidesplitting. Well-known social critic Camille Paglia has a cameo in which she delivers a memorably bizarre monologue about her perception of the symbolic meaning of a watermelon.
The Watermelon Woman is a fictitious creation, but, watching this film, it's easy to believe that there really was a Faye Richards. Dunye does such an excellent job re-creating old, black-and-white film clips and glossy photographs that, combined with the pseudo-documentary style of much of the film, might tempt a viewer to search a movie database for a list of the Watermelon Woman's credits.
Dunye's film looks like it was produced with almost no money (which it was), but that's part of its essential charm. This is the kind of story that, if told in a less experimental manner, wouldn't have worked nearly as well. THE WATERMELON WOMAN is imbued with freshness, and that's it's best quality. Dunye has crafted a motion picture that can be appreciated by all audiences -- male, female, black, white, gay, and straight. It's a celebration of life and diversity in the City of Sisterly Love.
- James Berardinelli e-mail<EMAIL_ADDRESS>web: http://www.cybernex.net/~berardin
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


In this screen you can manage the scenarios that you use to discover patterns.
No cases defined yet
{{ caseItem.description }}


--- layout: archive title: Zulip Chat Archive permalink: /stream/113488-general/topic/proof.20of.20false.html ---
I've produced a proof of false
in Lean by messing around with inductive
types and universes and creating a type that is empty and inhabited in the same time. The whole file is 41 lines long and can be accessed by clicking this sentence.
Hey aren't you on something like UTC+8?
{% endraw %}Last updated: Apr 24 2020 at 19:02 UTC


{% load static %}
This is an automated system to help a learner read and pronounce words in the Czech language.
A few different teaching algorithms are being assessed. Please refrain from taking this test if you are already familiar with the Czech, Slovak or Polish languages.
After clicking Start, you will have an opportunity to practice recording your voice.
Following that, the teaching will commence. Here, you will be shown a sequence of Czech words. For each word, record your pronunciation using the controls on the page. You will then be given feedback on your answer, and a correct pronunciation which you can listen to.
Please note that the recordings you provide will be stored for 6 months and then deleted. You can leave the experiment anytime by closing the browser session.
After the teaching rounds there will be some testing rounds. The entire course should take approx. 10 minutes to complete.
Please press Start below to begin.


"ANYONE WHO SAYS THAT MONEY CANNOT BUY HAPPINESS
HAS CLEARLY NEVER SPENT THEIR MONEY ON PIZZA."
If I could eat whatever I wanted every day,
I would have Domino's pizza with pasta carbonara inside every slice.
And at night, I would have Neapolitan ice cream until I felt absolutely toxic.
And then I would drift off telling myself, 'It's going to be O.K...
It's going to be O.K. you're going to train in the morning.'
Read more at
There's no better feeling in the world than a warm pizza box on your lap.


Edan Meyer
Software Developer | Machine Learning Engineer | Student
View Resume
Copyright © 2018 Edan Meyer


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Card Number
* CVV or CVC is the card security code, unique three digits number on the back of your card separate from its number.


Recipe 19.15. Generating Permutations, Combinations, and SelectionsCredit: Ulrich Hoffmann, Guy Argo, Danny Yoo, Carl Bray, Doug Zongker, Gagan Saksena, Robin Houston, Michael Davies ProblemYou need to iterate on the permutations, combinations, or selections of a sequence. The fundamental rules of combinatorial arithmetic indicate that the length of these derived sequences are very large even if the starting sequence is of moderate size: for example, there are over 6 billion permutations of a sequence of length 13. So you definitely do not want to compute (and keep in memory) all items in a derived sequence before you start iterating, SolutionGenerators enable you to compute needed objects one by one as you iterate on them. The loop inevitably takes a long time if there are vast numbers of such objects and you really need to examine each one. But at least you do not waste memory storing all of them at once: def _combinators(_handle, items, n): ''' factored-out common structure of all following combinators ''' if n==0: yield [ ] return for i, item in enumerate(items): this_one = [ item ] for cc in _combinators(_handle, _handle(items, i), n-1): yield this_one + cc def combinations(items, n): ''' take n distinct items, order matters ''' def skipIthItem(items, i): return items[:i] + items[i+1:] return _combinators(skipIthItem, items, n) def uniqueCombinations(items, n): ''' take n distinct items, order is irrelevant ''' def afterIthItem(items, i): return items[i+1:] return _combinators(afterIthItem, items, n) def selections(items, n): ''' take n (not necessarily distinct) items, order matters ''' def keepAllItems(items, i): return items return _combinators(keepAllItems, items, n) def permutations(items): ''' take all items, order matters ''' return combinations(items, len(items)) if _ _name_ _=="_ _main_ _": print "Permutations of 'bar'" print map(''.join, permutations('bar')) # emits ['bar', 'bra', 'abr', 'arb', 'rba', 'rab'] print "Combinations of 2 letters from 'bar'" print map(''.join, combinations('bar', 2)) # emits ['ba', 'br', 'ab', 'ar', 'rb', 'ra'] print "Unique Combinations of 2 letters from 'bar'" print map(''.join, uniqueCombinations('bar', 2)) # emits ['ba', 'br', 'ar'] print "Selections of 2 letters from 'bar'" print map(''.join, selections('bar', 2)) # emits ['bb', 'ba', 'br', 'ab', 'aa', 'ar', 'rb', 'ra', 'rr'] DiscussionThe generators in this recipe accept any sequence as the items argument and always yield lists of length n, where n is the second argument to the generator (permutations accepts only one argument, and n is by definition equal to len(items)). You can modify the recipe so the generators yield tuples (or instances of another sequence type), instead of lists, by changing two lines of code in _combinators. The yield [ ] must become yield ( ) (more generally, this statement must yield the empty sequence of any sequence type you wish to use), and name this_one must be bound to the Singleton sequence of any sequence type you wish to use. For example, to yield tuples, change the statement that assigns to name this_one into: this_one = items[i], (A subtle, often-forgotten point of Python syntax is that the comma identifies the right side of the assignment as a tuple. Placing parentheses around the right-hand side would be both insufficient and superfluous.) Another way to modify this recipe is to have the generators yield sequences of the same type as argument items. (As long as this type is indeed a sequence: specifically, it must support slicing, as well as the use of the plus sign, +, for concatenation). If that is what you want, change the yield of the empty sequence into: yield items[:0] and change the assignment to name this_one into: this_one = items[i:i+1] The definition of distinct items for this recipe's purposes is: "items that occur at different indices in the input sequence." If your input sequence has duplicates (i.e., the same item occurring at multiple indices), none of the functions in this recipe will care about removing them: rather, all functions will treat the duplicates as "distinct items" for all purposes. See AlsoRecipe 19.16 for another combinatorics building block; Recipe 18.1 and Recipe 18.2. |


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Our photo search is fully automated. (We don’t have people or tiny elves looking through your private videos!) So we might not get it perfect. If we find a photo you don’t love, it’s easy to delete it from your photo album. Just choose the option to delete under the More tab.
What can I do with my VIBLIO created photos?
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Closed Confidential Forums
Closed confidential forums are hidden; their names are not available in the CIX forum list. Membership is normally by invitation from the moderators only.
See also open forums and closed forums.


§514A-135 Rules. The real estate commission shall adopt rules pursuant to chapter 91 to effectuate fully the purpose of this part. [L 1989, c 285, §6; am L 2009, c 129, pt of §9]


Preparation time
less than 30 mins
Cooking time
10 to 30 mins
Serves
Makes about 500g/1lb 2oz of sauce
Dietary
Want to give your curries real depth of flavour? Try this versatile masala sauce. The secret to the rich taste is cooking the onions slowly until they are very dark. Add pan-fried chicken, meat, prawns or vegetables for a delicious quick curry.
First prepare the ginger garlic paste. Blend the ginger and garlic with a teaspoon of water in a blender. Store any you don’t use for this recipe in the fridge.
To make the masala sauce, heat the oil in a large frying pan. Add the whole spices (black cardamom, peppercorns, cloves, green cardamom, cumin seeds, cinnamon and bay leaf) and fry until they start to crackle, then add the onions.
Cook the onions gently and slowly until caramelised and very dark brown.
Add a tablespoon of the ginger garlic paste and fry gently for 3-4 minutes. Taste to make sure the ginger and garlic are well cooked otherwise their flavour will be too strong.
Add all the powdered spices and mix well.
Add 100-150ml/3½-5fl oz water if the sauce is too thick.
Finally add the tomato purée and cook until the oil comes to the surface of the sauce.


The Graph2d makes use of
Catmull-Rom spline interpolation.
The user can configure these per group, or globally. In this example we show all 4 possiblities. The differences are in the parametrization of
the curves. The options are
uniform
,
chordal
and
centripetal
. Alternatively you can disable the Catmull-Rom interpolation and
a linear interpolation will be used. The
centripetal
parametrization produces the best result (no self intersection, yet follows the line closely) and is therefore the default setting.
For both the
centripetal
and
chordal
parametrization, the distances between the points have to be calculated and this makes these methods computationally intensive
if there are very many points. The
uniform
parametrization still has to do transformations, though it does not have to calculate the distance between point. Finally, the
linear interpolation is the fastest method. For more on the Catmull-Rom method,
C. Yuksel et al. have an interesting paper titled ″On the parametrization of Catmull-Rom Curves″.


D3 Version
Version 3
Version 4
Personality Insights Version
Version 2
Version 3
Locale
English
Spanish
Colors
Default
Random
Personality Insights Sunburst Chart


{% extends 'invitro/ivchemical_detail.html' %} {% block content %} {{ block.super }} {% include "hawc/_delete_block.html" with name="chemical" notes="This will remove all content associated with this chemical." %} {% endblock content %}


A plugin that gets Emmet HTML abbreviations snippets to be expanded based on layers list structure and naming.
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Learn more about Emmet Abbreviations Syntax https://docs.emmet.io/
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Basis Pursuit with Douglas Rachford
Test for DR algorithm for L1 minimization (BP). We do here a compressed sensing resolution (random matrix).
Add the toolbox.
addpath('../'); addpath('../toolbox/');
Dimensionality of the signal and number of measurements.
n = 200; p = n/4;
Sensing matrix.
A = randn(p,n);
Measurements.
y = randn(p,1);
We aim at solving
min_{A*x=y} norm(x,1)
This can be rewriten as the minimization of F(x)+G(x) where F=norm(x,1) and G=i_{A*x=y} is the indicator function.
The proximity operator of the L1 norm is the soft thresholding.
ProxF = @(x,tau)perform_soft_thresholding(x, tau);
The proximity operator of the indicator of A*x=y is the orthogonal projection on A*x=y.
pA = A'*(A*A')^(-1); ProxG = @(x,tau)x + pA*(y-A*x);
Create a function to record the values of F and the constraint at each iteration.
F = @(x)norm(x,1); Constr = @(x)1/2*norm(y-A*x)^2; options.report = @(x)struct('F', F(x), 'Constr', Constr(x));
Run the algorithm.
options.gamma = 5; options.niter = 5000; [x,R] = perform_dr(zeros(n,1), ProxF, ProxG, options);
[********************]
Display the solution. At convergence, it should be of sparsity p.
clf;
plot(x);
axis tight;
Retrieve the F and constraint function values.
f = s2v(R,'F'); constr = s2v(R,'Constr');
Display.
clf; subplot(2,1,1); plot(f(2:end)); axis tight; title('Objective'); subplot(2,1,2); plot(constr(2:end)); axis tight; title('Constraint');


You are entitled to
{{ hasProductDemoSlot ? 'a 10-minute product demo slot' : ''}}
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Tell us about them here.
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organisation's tech. We recommend that you focus your
talk on tech rather than your company directly, as this is
likely to draw a larger crowd. If you are running any
competitions, or listing software or hardware products with
us, we recommed you relate this talk to one of those as
well. The information below will be shown in our event
schedule.
Workshop Details
A workshop provides half an hour for the hackers to learn
something new, and for your organisation to really show off
its engineering skills. We recommend that you focus your
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import math
import simtk.unit as units
[docs]def convert_nothing(x):
""" useful utility for not converting anything"""
return x
[docs]def convert_dihedral_from_proper_to_trig(p):
k = p['k']
multiplicity = p['multiplicity']
zu = 0*k.unit
fcs = {
'phi': p['phi'],
'fc0': k,
'fc1': zu,
'fc2': zu,
'fc3': zu,
'fc4': zu,
'fc5': zu,
'fc6': zu
}
k # which force constant is nonzero because of the multiplicity?
fk = "fc%d" % (multiplicity._value)
fcs[fk] = k
return fcs
[docs]def convert_dihedral_from_fourier_to_trig(f):
fcs = dict()
F1 = f['c1']
F2 = f['c2']
F3 = f['c3']
F4 = f['c4']
zu = 0*F1.unit
fcs['phi'] = 0 * units.degrees
fcs['fc0'] = 0.5*(F1+F2+F3+F4)
fcs['fc1'] = 0.5*F1
fcs['fc2'] = -0.5*F2
fcs['fc3'] = 0.5*F3
fcs['fc4'] = -0.5*F4
fcs['fc5'] = zu
fcs['fc6'] = zu
return fcs
[docs]def convert_dihedral_from_trig_to_fourier(fcs):
F = dict()
F['F1'] = 2*fcs['fc1']
F['F2'] = -2*fcs['fc2']
F['F3'] = 2*fcs['fc3']
F['F4'] = -2*fcs['fc4']
F['F5'] = 0 # probably not correct? No test cases.
if fcs['fc0'] != 0.5*(F['F1']+F['F2']+F['F3']+F['F4']):
print "This dihedral is inconsistent with OPLS format",
return F
[docs]def convert_dihedral_from_trig_to_proper(fcs, convention='0'):
# this has to be smarter, because there are two options; there's one, or there are multiple.
# we handle this by returning multiple keywords
# create a copy of the dictionary to strip out several parameters
ftmp = fcs.copy()
ftmp.pop('phi')
ftmp.pop('fc0')
coefficients = ftmp.values()
ncount = sum(coeff._value != 0.0 for coeff in coefficients)
halfangle = (180*units.degrees).in_units_of(fcs['phi'].unit)
plist = []
if convention == '180':
sign = -1
else:
sign = 1
for k, coeff in fcs.items(): # only one of these should be nonzero
if coeff._value != 0.0 and k not in ['fc0', 'phi']:
p = dict()
if convention == '180':
p['phi'] = halfangle-fcs['phi']
else:
p['phi'] = fcs['phi']
p['multiplicity'] = int(k[2])*units.dimensionless
p['k'] = coeff*sign
plist.append(p)
return plist
[docs]def convert_dihedral_from_RB_to_OPLS(c):
c0 = c['C0']
c1 = c['C1']
c2 = c['C2']
c3 = c['C3']
c4 = c['C4']
c5 = c['C5']
f = dict()
if (c5 !=0.0 * c0.unit and c1+c2+c3+c4 != 0.0 * c0.unit):
print "This Rb dihedral is inconsistent with OPLS style",
print "because C5 = ",c5,
print " (should be 0) and c1+c2+c3+c4 = ",c1+c2+c3+c4,
print " (should be 0)"
# REALLY SHOULD ADD SOME SORT OF EXCEPTION HERE.
# note - f1 and f3 are opposite sign as expected in GROMACS, probably because of angle conventions.
f['f1'] = 2.0 * c1 + 3.0 * c3 / 2.0
f['f2'] = -c2 - c4
f['f3'] = c3 / 2.0
f['f4'] = -c4 / 4.0
return f
[docs]def convert_dihedral_from_OPLS_to_RB(f):
f1 = f['f1']
f2 = f['f2']
f3 = f['f3']
f4 = f['f4']
c = dict()
# Note: c1 and c3 are the negative of what is defined on equation 4.64 of Gromacs Manual 4.6.1
c['C0'] = f2 + 0.5*(f1+f3)
c['C1'] = 0.5 * (f1 - 3.0 * f3)
c['C2'] = -f2 + 4.0 * f4
c['C3'] = 2.0 * f3
c['C4'] = -4.0 * f4
c['C5'] = 0.0 * c['CO'].unit # need to keep everything in units
c['C6'] = 0.0 * c['CO'].unit
return c
[docs]def convert_dihedral_from_trig_to_RB(fcs):
# sign is -1 or 1
# RB is \sum_n=0^6 cos(x)^n
# Trig is f_0 + \sum_n=1^6 cos(nx-phi)
# we restrict to phi = 0 or 180 (might need to generalize later), so we can write as
# f_0 + \sum_n=1^6 cos(nx)cos(phi) + sin(nx)sin(phi)
# f_0 + \sum_n=1^6 cos(nx) (phi = 0)
# f_0 + \sum_n=1^6 -cos(nx) (phi = 180)
# phi = 180 corresponds to a sign of -1 on everything but f_0. Easier to multiply just f_0,
# then multiply the rest.
# cos(2x) = 2cos^2(x)-1
# cos(3x) = 4cos^3(x)-3cos(x)
# cos(4x) = 8cos^4(X)-8cos^2(x)+1
# cos(5x) = 16cos^5(x)-20cos^3(x)+5cos(x)
# cos(6x) = 32cos^6(x)-48cos^4(x)+18cos^2(x)-1
# Thus:
# f0 + f1*cos(x) + f2*cos(2x) + f3*cos(3x) + f4*cos(4x) + f5*cos(5x) + f6*cos(6x)
# z = cos(x)
# = f0 + f1*z + f2*(2z^2-1) + f3*(4*z^3-3*z) + f4*(8z^4-8z^2+1) + f5*(16z^5-20z^3+5*z) + f6*(32z^6-48z^4+18*z^2-1)
# c0 = f0-f2+f4-f6
# c1 = f1-3f3+5f5
# c2 = 2f2-8f4+18f6
# c3 = 4f3-20f5
# c4 = 8f4-48f6
# c5 = 16f5
# c6 = 32f6
sign = math.cos(fcs['phi'].value_in_unit(units.radians))
fc0 = fcs['fc0']
fc1 = sign*fcs['fc1']
fc2 = sign*fcs['fc2']
fc3 = sign*fcs['fc3']
fc4 = sign*fcs['fc4']
fc5 = sign*fcs['fc5']
fc6 = sign*fcs['fc6']
c = dict()
c['C0'] = fc0 - fc2 + fc4 - fc6
c['C1'] = fc1 - 3.0*fc3 + 5.0*fc5
c['C2'] = 2.0*fc2 - 8.0*fc4 + 18.0*fc6
c['C3'] = 4.0*fc3 - 20.0*fc5
c['C4'] = 8.0*fc4 - 48.0*fc6
c['C5'] = 16.0*fc5
c['C6'] = 32.0*fc6
# Multiply by -1 on odd powers to switch between sign conventions.
c['C1'] *= -1
c['C3'] *= -1
c['C5'] *= -1
return c
[docs]def convert_dihedral_from_RB_to_trig(c):
c0 = c['C0']
c1 = c['C1']
c2 = c['C2']
c3 = c['C3']
c4 = c['C4']
c5 = c['C5']
if 'C6' in c: # program might not define this one, need to check it exists.
c6 = c['C6']
else:
c6 = 0*c0.unit
# See above for conversion; simply inverting the matrix.
# Need to handle sign for 180.
fcs = dict()
# sign? units? Is there a way to get out of this?
fcs['phi'] = 0 * units.degrees
fcs['fc0'] = 1.0*c0 + 0.5*c2 + 0.3750*c4 + 0.3125*c6
fcs['fc1'] = 1.0*c1 + 0.75*c3 + 0.6250*c5
fcs['fc2'] = 0.5*c2 + 0.5*c4 + 0.46875*c6
fcs['fc3'] = 0.25*c3 + 0.3125*c5
fcs['fc4'] = 0.125*c4 + 0.1875*c6
fcs['fc5'] = 0.0625*c5
fcs['fc6'] = 0.03125*c6
# Multiplying by -1 on odd powers to switch between sign conventions
fcs['fc1'] *= -1
fcs['fc3'] *= -1
fcs['fc5'] *= -1
return fcs


1. Introduction
We will discuss decentralization of Bitcoin in this post. The scheme is first proposed in the whitepaper published by Satoshi. In peer-to-peer cryptocurrency systems, lots of obstacles arise compared to centralised systems such as latency of network, double-spend-attack, loss of data etc. Because of those constraints, Bitcoin does not purely rely on technical methods to achieve decentralisation, but it’s a combination of technical methods and clever incentive engineering. In this post, we first give the simplied protocol Bitcoin used and then elaborate on this protocol.
2. Distributed consensus protocol
Imagine you’re in charge of the backend for a large social networking company like Facebook. Systems of this sort typically have thousands or even millions of servers, which together form a massive distributed database that records all of the actions that happen in the system. Each piece of information must be recorded on several different nodes in this backend, and the nodes must be in sync about the overall state of the system. Thus, a consensus protocol is needed in this context. A distributed consensus protocol should have two properties as discussed below:
Distributed consensus protocol: There are n nodes that each have an input value. Some of these nodes are faulty or malicious. A distributed consensus protocol has the following two properties:
-
It must terminate with all honest nodes in agreement on the value
-
The value must have been generated by an honest node
Thus, distributed consensus protocol plays a central role in the design of distributed systems. However, the lack of global time heavily constrains the set of algorithms that can be used in the consensus protocols. In fact, because of these constraints, much of the literature on distributed consensus is somewhat pessimistic, and many impossibility results have been proven. One very well known impossibility result is the Byzantine Generals Problem.
2.1 Blockchain protocol
Bitcoin uses Blockchain to record the transactions. Thus, Blockchain needs protocol to sync the blocks for nodes in the network. Suppose there is somehow an ability to pick a random node in the system (in Bitcoin, this random node is picked by a procedure called mining), this node gets to propose the next block in the chain. Here is the simplified protocol.
Bitcoin consensus algorithm (simplified)
This algorithm is simplified in that it assumes the ability to select a random node in a manner that is not vulnerable to Sybil attacks.
-
New transactions are broadcast to all nodes
-
Each node collects new transactions into a block
-
In each round a random node gets to broadcast its block
-
Other nodes accept the block only if all transactions in it are valid (unspent, valid signatures)
-
Nodes express their acceptance of the block by including its hash in the next block they create
By this manner, the system is robust enough to prevent potential attacks which we will talk about later. First, we will talk about how other nodes process the block they received a block(step 4 and step 5).
2.1.1 Receive block
When receiving a new block message broadcasted from step 3, the node should extend the blockchain they are maintaining. There are three kinds of blocks in the blockchain:
-
blocks in the main branch. The transactions in these blocks are considered at least tentatively confirmed
-
blocks on side branches off the main branch. These blocks have at least tentatively lost the race to be in the main branch
-
orphan blocks. These are blocks which don’t link into the main branch, normally because of a missing predecessor or nth-level predecessor.
The largest branch in the blockchain is called the main branch. When receiving a new block, the node will try to add this into main branch, side branches or orphan block pool depending on the hash pointer. After adding it, three cases will arise:
-
block further extends the main branch;
-
block extends a side branch but does not add enough difficulty to make it become the new main branch;
-
block extends a side branch and makes it the new main branch.
Depending on which case happens, the blockchain takes different actions. An overview of the actions is available at protocol.
2.1.2 Advantages
The protocol can prevent many kinds of attacks. Let’s now try to understand why this consensus algorithm works. To do this, let’s consider how a malicious adversary — who we’ll call Alice — may be able to subvert this process.
Stealing Bitcoins. Can Alice simply steal bitcoins belonging to another user at an address she doesn’t control? No. Even if it is Alice’s turn to propose the next block in the chain, she cannot steal other users’ bitcoins. Doing so would require Alice to create a valid transaction that spends that coin. This would require Alice to forge the owners’ signatures which she cannot do if a secure digital signature scheme is used. So as long as the underlying cryptography is solid, she’s not able to simply steal bitcoins.
Denial of service attack. Let’s consider another attack. Say Alice really dislikes some other user Bob. Alice can then decide that she will not include any transactions originating from Bob’s address in any block that she proposes to get onto the block chain. In other words, she’s denying service to Bob. While this is a valid attack that Alice can try to mount, luckily it’s nothing more than a minor
annoyance. If Bob’s transaction doesn’t make it into the next block that Alice proposes, he will just wait until an honest node gets the chance to propose a block and then his transaction will get into that block. So that’s not really a good attack either.
Double-spend attack. Let’s assume that Alice is a customer of some online merchant or website run by Bob, who provides some online service in exchange for payment in bitcoins. Let’s say Bob’s service allows the download of some software. So here’s how a double-spend attack might work. Alice adds an item to her shopping cart on Bob’s website and the server requests payment. Then Alice creates a Bitcoin transaction from her address to Bob’s and broadcasts it to the network. Let’s say that some honest node creates the next block, and includes this transaction in that block. So there is now a block that was created by an honest node that contains a transaction that represents a payment from Alice to the merchant Bob. The graph below shows the effect to Blockchain.
And how do we know if this double spend attempt is going to succeed or not? Well, that depends on which block will ultimately end up on the long-term consensus chain — the one with the Alice → Bob transaction or the one with the Alice → Alice transaction. What determines which block will be included? Honest nodes follow the policy of extending the longest valid branch, so which branch will they extend? There is no right answer! At this point, the two branches are the same length — they only differ in the last block and both of these blocks are valid. The node that chooses the next block then may decide to build upon either one of them. Thus, only one of two transactions will finally be kept in the blockchain. Alice cannot achieve double-spend attack in this context. The merchart Bob can wait confirmations for transactions to decide whether let Alice download the software. Thus, the protocol can prevent double-spend attack.
3. Pick up a random node
In this section, we will talk about how to randomly choose a node from the network. Nodes in the network are rewarded by being chosen as this node. Thus, this motivates people to get the opportunity for being chosen through ‘mining’. The rewards include the creation of new coins and transaction fees. At the time of this writing, the value of the block reward is fixed at 25 Bitcoins. But it actually halves every 210,000 blocks. Based on the rate of block creation that we will see shortly, this means that the rate drops roughly every four years (because in expection, a new block is generated every 10 minutes). We’re now in the second period. For the first four years of Bitcoin’s existence, the block reward was 50 bitcoins; now it’s 25. The node chosen will get 25 newly created Bitcoins.
Now, we introduce how the node is chosen through ‘mining’. The node is chosen through proof-of-work. The key idea behind proof-of-work is that we approximate the selection of a random node by instead selecting nodes in proportion to a resource that we hope that nobody can monopolize. If, for example, that resource is computing power, then it’s a proof-of-work system.
Bitcoin achieves proof-of-work using hash puzzles. In order to create a block, the node that proposes that block is required to find a number, or nonce, such that when you concatenate the nonce, the previous hash, and the list of transactions that comprise that block and take the hash of this whole string, then that hash output should be a number that falls into a target space that is quite small in relation to the much larger output space of that hash function. We can define such a target space as any value falling below a certain target value. In this case, the nonce will have to satisfy the inequality:
H(nonce || prev_hash || tx || tx || ... || tx) < target.
The first node which finds this nonce proposes the block. Thus, in order to be chosen, the node should have a great computing power. The incentive to get Bitcoins flourishes the Bitcoin mining industry.
This post introduces how Bitcoin achieves concensus and how to choose random node to propose next block. In next post, we will introduce the data format of blocks.


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Full-Stack Developer
We are looking for an intermediate Full Stack Developer to become an integral part of our team and our broader development community. The Full-Stack Developer will be joining and contributing to our Widget team, supporting the development of our product that enables content and commerce to blend to help publishers grow their revenue and customers to purchase products as soon as they discover them.
Skills
- Working to reliably and consistently release code to production, aiming to continually reduce the amount of time from initial ideation to production release.
- Carefully implement designs to pixel-perfection standards from a defined design system. As well as maintain multiple projects with modern stack using functional and declarative code.
- Work cross-functionally with other teams from Product Management to customer experience to gather and refine specifications and requirements based on technical needs.
- Troubleshoot, test and maintain code and ensure it is optimized, performs well and is high quality.
Qualifications
- You’ve shipped multiple products as a full-stack developer
- Excellent knowledge of Javascript, React, NodeJS and Typescript
- You communicate well and with concision
- Excellent analytical and problem solving skills
- experience with large-scale software system design


This Spaceborne Imaging Radar-C/X-band Synthetic Aperture Radar color composite shows a portion of the Weddell Sea, which is adjacent to the continent of Antarctica. The image shows extensive coverage of first-year sea ice mixtures and patches of open water inside the ice margin. The image covers a 100 kilometer by 30 kilometer (62 mile by 18.5 mile) region of the southern ocean, centered at approximately 57 degrees south latitude and 3 degrees east longitude, which was acquired on October 3, 1994. Data used to create this image were obtained using the L-band (horizontally transmitted and vertically received) in red; the L-band (horizontally transmitted and received) in green; and the C-band (horizontally transmitted and received) in blue. The sea ice, which appears rust-brown in the image, is composed of loosely packed floes from approximately 1 meter to 2 meters (3 feet to 6.5 feet) thick and ranging from 1 meter to 20 meters (3 feet to 65.5 feet) in diameter. Large patches of open water, shown as turquoise blue, are scattered throughout the area, which is typical for ice margins experiencing off-ice winds. The thin, well-organized lines clearly visible in the ice pack are caused by radar energy reflected by floes riding the crest of ocean swells. The wispy, black features seen throughout the image represent areas where new ice is forming. Sea ice, because it acts as an insulator, reduces the loss of heat between the relatively warm ocean and cold atmosphere. This interaction is an important component of the global climate system. Because of the unique combination of winds, currents and temperatures found in this region, ice can extend many hundreds of kilometers north of Antarctica each winter, which classifies the Weddell Sea as one of nature's greatest ice-making engines. During the formation of sea ice, great quantities of salt are expelled from the frozen water. The salt increases the density of the upper layer of sea water, which then sinks to great depths. Oceanographers believe this process forms most of the oceans' deep water. Sea ice covering all of the southern oceans, including the Weddell Sea, typically reaches its most northerly extent in about September. As periods of daylight become gradually longer in the Southern Hemisphere, ice formation stops and the ice edge retreats southward. By February, most of the sea ice surrounding Antarctica disappears. Imaging radar is extremely useful for studying the polar regions because of the long periods of darkness and extensive cloud cover. The multiple frequencies of the SIR-C/X-SAR instruments allow further study into ways of improving the separation of the various thickness ranges of sea ice, which are vital to understanding the heat balance in the ice, ocean and atmospheric system.
P-44718 October 5, 1994


Why use Grunt? In one word: automation. The less work you have to do when performing repetitive tasks like minification, compilation, unit testing, linting, etc, the easier your job becomes. After you've configured it, a task runner can do most of that mundane…
Why use Grunt? In one word: automation. The less work you have to do when performing repetitive tasks like minification, compilation, unit testing, linting, etc, the easier your job becomes. After you've configured it, a task runner can do most of that mundane…
Why use Grunt? In one word: automation. The less work you have to do when performing repetitive tasks like minification, compilation, unit testing, linting, etc, the easier your job becomes. After you've configured it, a task runner can do most of that mundane…
Why use Grunt? In one word: automation. The less work you have to do when performing repetitive tasks like minification, compilation, unit testing, linting, etc, the easier your job becomes. After you've configured it, a task runner can do most of that mundane…


| is_latex_output {knitr} | R Documentation |
The function is_latex_output()
returns TRUE
when the output
format is LaTeX; it works for both ‘.Rnw’ and R Markdown documents (for
the latter, the two Pandoc formats latex
and beamer
are
considered LaTeX output). The function is_html_output()
only works for
R Markdown documents and will test for several Pandoc HTML based output
formats (by default, these formats are considered as HTML formats:
c('markdown', 'epub', 'html', 'html4', 'html5', 'revealjs', 's5',
'slideous', 'slidy', 'gfm')
).
is_latex_output() is_html_output(fmt = pandoc_to(), excludes = NULL) pandoc_to(fmt) pandoc_from()
fmt |
A character vector of output formats to be checked against. If not
provided, |
excludes |
A character vector of output formats that should not be considered as HTML format. |
The function pandoc_to()
returns the Pandoc output format, and
pandoc_from()
returns Pandoc input format. pandoc_to(fmt)
allows to check the current output format against a set of format names. Both
are to be used with R Markdown documents.
These functions may be useful for conditional output that depends on the
output format. For example, you may write out a LaTeX table in an R Markdown
document when the output format is LaTeX, and an HTML or Markdown table when
the output format is HTML. Use pandoc_to(fmt)
to test a more specific
Pandoc format.
Internally, the Pandoc output format of the current R Markdown document is
stored in knitr::opts_knit$get('rmarkdown.pandoc.to')
, and the
Pandoc input format in
knitr::opts_knit$get('rmarkdown.pandoc.from')
See available Pandoc formats, in Pandoc's Manual
# check for output formats type knitr::is_latex_output() knitr::is_html_output() knitr::is_html_output(excludes = c("markdown", "epub")) # Get current formats knitr::pandoc_from() knitr::pandoc_to() # Test if current output format is 'docx' knitr::pandoc_to("docx")


--- layout: post title: Docs and getting help permalink: /help.html ---
Read Getting started for a quick tour of NSubstitute.
For more in depth information start with Creating a substitute.
If you can't find the answer you're looking for, or if you have feature requests or feedback on NSubstitute, please raise an issue on our project site. All questions are welcome via our project site, but for "how-to"-style questions you can also try StackOverflow with the [nsubstitute] tag, which often leads to very good answers from the larger programming community. StackOverflow is especially useful if your question also relates to other libraries that our team may not be as familiar with (e.g. NSubstitute with Entity Framework). You can also head on over to the NSubstitute discussion group if you prefer.


| ansi_strsplit {cli} | R Documentation |
This is the color-aware counterpart of base::strsplit()
.
It works almost exactly like the original, but keeps the colors in the
substrings.
ansi_strsplit(x, split, ...)
x |
Character vector, potentially ANSI styled, or a vector to coarced to character. |
split |
Character vector of length 1 (or object which can be coerced to
such) containing regular expression(s) (unless |
... |
Extra arguments are passed to |
A list of the same length as x
, the i-th element of
which contains the vector of splits of x[i]
. ANSI styles are
retained.
Other ANSI string operations:
ansi_align()
,
ansi_columns()
,
ansi_nchar()
,
ansi_strtrim()
,
ansi_strwrap()
,
ansi_substring()
,
ansi_substr()
,
ansi_trimws()
str <- paste0( col_red("I am red---"), col_green("and I am green-"), style_underline("I underlined") ) cat(str, "\n") # split at dashes, keep color cat(ansi_strsplit(str, "[-]+")[[1]], sep = "\n") strsplit(ansi_strip(str), "[-]+") # split to characters, keep color cat(ansi_strsplit(str, "")[[1]], "\n", sep = " ") strsplit(ansi_strip(str), "")


English
Indonesian
Afrikaans
Albanian
Arabic
Armenian
Azerbaijani
Basque
Belarusian
Bengali
Bulgarian
Catalan
Chinese
Croatian
Czech
Danish
Dutch
English
Esperanto
Estonian
Filipino
Finnish
French
Galician
Georgian
German
Greek
Gujarati
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Kannada
Korean
Latin
Latvian
Lithuanian
Macedonian
Malay
Maltese
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Tamil
Telugu
Thai
Turkish
Ukrainian
Urdu
Vietnamese
Welsh
Yiddish


"Immigration and Inequality"
David Card, UC Berkeley
Excerpt by Valentin Erokhin
Goal:.
Review and synthesize current views on relationship between immigration and inequality
Approach:
Use evidence from cross-city comparison of U.S for that
Conceptual (theoretical) framework
Assumptions
-
Perfectly inelastic per capita labor supply (for local markets number of workers can vary)
-
Capital separable from labor inputs and perfectly elastically supplied
Are sectoral adjustments important?
-
In Heckscher-Ohlin model very much so, relative demand curves are flat, changes in rel supply of different skill groups leads to expansion or contraction of industries with no change of rel wage or skill utilization
-
Lewis showed that differences in relative supply of different educational groups are almost entirely negated by changes in utilization within industries
-
Mariel boatlift — Miami market didn't care much about sectoral adjustments
Let us pick a one-sector model of the demand for labor, ladies and gentlemen
David Card, probably
Data and empirics
Cross-city comparison
-
→ Others say it's inherently flawed
but evidence is consistent with time series data -
Problem with cross-city comparisons: immigrants and natives move easily between cities and if the flows are sensitive to local wages this can disrupt the picture
-
Aggregate time series
Are proposed to fix this problem Consistent with cross-city if parameters are appropriately identified
Key Findings
- Workers with pre-high-school diploma are perfect substitutes for w/ high school diploma
- "High school-equivalent" and "College-equivalent" workers are imperfect substitutes
- Natives and immigrants are imperfect substitutes
When demand side is parametrized w/ these assumptions and capital is assumed to be perfectly elastically supplied the impact of net inflows of immigrants on subgroups of native workers is quite small
Cross-city comparison
-
Elasticity of substitution immigrant vs. native is large but finite
-
→ They are imperfect substitutes
-
→ Impact of additional immigrant inflows concentrated in immigrant populations!
- Empirically residual wage inequality is much higher for natives in high-immigrant cities
- But comparisons by sub period and within narrow occupations rule out significant causal role
But there is an effect on overall wage inequality
about 5% between 1980 and 2000
that's because there is more immigrants on the tails of distribution
& residual inequality is higher among immigrants


Library: Foundation
Package: Hashing
Header: Poco/HashStatistic.h
Deprecated. This class is deprecated and should no longer be used.
Description
HashStatistic class bundles statistical information on the current state of a HashTable
Member Summary
Member Functions: avgEntriesPerHash, avgEntriesPerHashExclZeroEntries, detailedEntriesPerHash, maxEntriesPerHash, maxPositionsOfTable, numberOfEntries, numberOfZeroPositions, toString
Constructors
HashStatistic
HashStatistic(
UInt32 tableSize,
UInt32 numEntries,
UInt32 numZeroEntries,
UInt32 maxEntry,
std::vector < UInt32 > details = std::vector < UInt32 > ()
);
Creates the HashStatistic.
Destructor
~HashStatistic
virtual ~HashStatistic();
Destroys the HashStatistic.
Member Functions
avgEntriesPerHash
double avgEntriesPerHash() const;
Returns the average number of entries per position in the Hashtable, the higher this value the less efficient performs hashing. If a large value is returned and getNumberOfZeroPositions also returns a large value, this indicates an inefficient hashing function. If the number of zero entries is low, resizing the HashTable, should be enough to improve performance
avgEntriesPerHashExclZeroEntries
double avgEntriesPerHashExclZeroEntries() const;
Same as getAvgEntriesPerHash but hash values that contain no entry are ignored, getAvgEntriesPerHashExclZeroEntries >= getAvgEntriesPerHash will always be true.
detailedEntriesPerHash
const std::vector < UInt32 > detailedEntriesPerHash() const;
Will either be an empty vector or will contain for each possible hash value, the number of entries currently stored
maxEntriesPerHash
UInt32 maxEntriesPerHash() const;
Returns the maximum number of entries per hash value found in the current table.
maxPositionsOfTable
UInt32 maxPositionsOfTable() const;
Returns the maximum number of different hash values possible for the table
numberOfEntries
UInt32 numberOfEntries() const;
Returns the total number of entries currently stored in the HashTable
numberOfZeroPositions
UInt32 numberOfZeroPositions() const;
Returns the number of hash positions that contain no entry.
toString
std::string toString() const;
Converts the whole data structure into a string.


I’m now a Shatta Wale fan because Sarkodie snubbed me – Comedia OB Amponsah
by Nana YawGhanaian Comedian, OB Amponsah has revealed that he has now thrown his weight behind dancehall artiste, Shatta Wale after he was snubbed by his favourite Ghanaian musician, Sarkodie.
According to the media on why he is taking this step, he revealed that the BET award winner he once loved, cherished and fought for snubbed him on social media.
In his revelation, he revealed that he tagged Sarkodie in a post on Twitter after his exciting performance in Nigeria, but the Team-based rapper ignored his tags and mentions.
In an interview with Ghanaweekend TV, he noted that Sarkodie used to be his favourite artiste in Ghana but he has now changed him for Shatta Wale.
“My favourite musician in Ghana, earlier it was Sarkodie but after he ignored me it’s Shatta Wale now,” he said when he was asked who his favourite Ghanaian artiste is.
he continued that: “Shatta has not even heard about me he tweeted about me…I love people who love me back so it’s Shatta Wale now…Paaah paaah paaah”
See screenshot of Shatta Wale biggin him up after an event.


Overview
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T
table(String, Hermes)
- Static method in class core.
Introspector
Table
- Class in
core
Table()
- Constructor for class core.
Table
Table
- Class in
migration
Table(String)
- Constructor for class migration.
Table
Table(Class<? extends Hermes>)
- Constructor for class migration.
Table
tableize(Hermes)
- Static method in class core.
Inflector
tableize(String, Hermes)
- Static method in class core.
Inflector
tableize(String, Hermes, String)
- Static method in class core.
Inflector
tableize(Class<? extends Hermes>)
- Static method in class core.
Inflector
tableName
- Variable in class core.
Hermes
tables(String, Hermes)
- Static method in class adapters.MySql.
Analyzer
tables
- Variable in class migration.
Migration
TIME
- Static variable in class adapters.MySql.
Mapping
TIMESTAMP
- Static variable in class adapters.MySql.
Mapping
timeStampToJava(Timestamp)
- Static method in class adapters.MySql.
TypeCast
timestampToSql(Timestamp)
- Static method in class adapters.MySql.
TypeCast
timestampToSql(Attribute)
- Static method in class adapters.MySql.
TypeCast
toggle(String)
- Method in class core.
Hermes
Toggle value of a boolean type attribute.
toJava(Object)
- Static method in class adapters.MySql.
TypeCast
toObject(ResultSet, Class<?>)
- Static method in class adapters.MySql.
Objects
toSql(Attribute)
- Static method in class adapters.MySql.
TypeCast
toSql(Object)
- Static method in class adapters.MySql.
TypeCast
Transaction
- Class in
core
Transaction()
- Constructor for class core.
Transaction
type(String, Hermes)
- Static method in class core.
Introspector
TypeCast
- Class in
adapters.MySql
TypeCast()
- Constructor for class adapters.MySql.
TypeCast
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My Github
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Hello and welcome! My name is Howard and I'm a front-end web developer from Honolulu, Hawaii. Check out some of my sample projects by clicking on the gear below!


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Hello testtools fans.
If you are wondering what all the recent bug mail was about, wonder no more, for I shall explain. Thus.
We're using only three different levels of importance for testtools bugs: Critical, Medium and Wishlist. Critical is reserved for release blockers: regressions, test failures and other disasters. Medium is for genuine defects and other things that we think are important. Wishlist is for everything else. I think of them as Critical, Important and Someday.
All of this is in preparation for the 0.9.8 release, which promises to be a doozy. Stay tuned.


Created by James Robinson for Hamilton Re
CREATE TABLE jpr_recap (
id INT IDENTITY(1,1) PRIMARY KEY,
name VARCHAR(255),
date DATETIME,
lat FLOAT,
long FLOAT,
max_wind INT
)
SELECT *
INTO #jpr_recap
FROM atlantic
INSERT INTO
jpr_recap (name, date, lat, long, max_wind)
VALUES ('ANDREW','1992-08-28',21.5,-42.1,165),
('BILL','1998-09-01',20.3,-46.1,50)
UPDATE jpr_recap
SET max_wind = 100
WHERE name = 'ANDREW'
DELETE FROM jpr_recap
WHERE name = 'ANDREW'
Used to rename a column
SELECT Latitude my_latitude, Longitude AS my_longitude
FROM pacific
WHERE [Maximum Wind] > 100
Extracts the year from a date
SELECT YEAR(Date) year
FROM pacific
Used to find the smallest value within a column or subsection of a column
SELECT MIN(Latitude) min_latitude,
MIN(Longitude) min_longitude
FROM pacific
WHERE [Maximum Wind] > 100
Used to find the largest value within a column or subsection of columns
SELECT MAX(Latitude) max_latitude,
MAX(Longitude) max_longitude,
MIN(Latitude) min_latitude,
MIN(Longitude) min_longitude
FROM pacific
WHERE [Maximum Wind] > 100
Used to partition up a table.
SELECT Name,
MIN(Date) [start],
MAX(Date) [end],
MIN(Latitude) min_latitude,
MAX(Latitude) max_latitude,
MIN(Longitude) min_longitude,
MAX(Longitude) max_longitude
FROM pacific
GROUP BY Name, YEAR(Date)
Used to find the number of rows within a column or subsection of columns that are not null.
SELECT Name,
YEAR(Date) year,
COUNT(*) count,
Status,
MIN(Latitude) min_latitude,
MAX(Latitude) max_latitude,
MIN(Longitude) min_longitude,
MAX(Longitude) max_longitude
INTO #jpr_storms
FROM atlantic
GROUP BY Name, Year(Date), Status
Used to add up all the values in a column or subsection of columns that are not null.
SELECT Status, SUM(count) count
FROM #jpr_storms
GROUP BY Status
Used to average all the values in a column or subsection of columns that are not null.
SELECT Year,
Status,
AVG(min_latitude) avg_min_lat,
AVG(max_latitude) avg_max_lat,
AVG(min_longitude) avg_min_long,
AVG(max_longitude) avg_max_long
FROM #jpr_storms
GROUP BY Year, Status
Used to do filtering (like WHERE) on grouped values.
SELECT Name,
Year(Date) Year,
MIN(Latitude) min_lat
FROM atlantic
GROUP BY Name, Year(Date), Status
HAVING MAX(Latitude) > -20
Find the minimum maximum wind of any Tropical Storm in the atlantic
SELECT MIN([Maximum Wind])
FROM atlantic WHERE status = 'TS'
Find the maximum minimum pressure recorded in the pacific
SELECT MAX([Minimum Pressure]) FROM pacific
Create a temporary table with Minimum Latitude, Maximum Latitude, Minimum Longitude, Maximum Longitude of all pacific storms for different Maximum Wind speeds.
SELECT MIN(Latitude) min_lat,
MAX(Latitude) max_lat,
MIN(Longitude) min_lon,
MAX(Longitude) max_lon,
[Maximum Wind]
INTO #jpr_your_name
FROM atlantic
GROUP BY [Maximum Wind]
Create a temporary table containing the names, minimum latitude, minimum longitude and number of records for each storm in the atlantic.
SELECT Name,
MIN(Latitude) min_lat,
MIN(Longitude) min_lon,
COUNT(*) count
INTO #jpr_storm_count
FROM atlantic
GROUP BY Name, Year(Date)
Sum the number of Records using the, previous table, of storms begining with the letter X
SELECT SUM(count)
FROM #jpr_storm_count
WHERE Name LIKE 'X%'
Using the temporary table from exercise 4 get the average minimum latitude of any storm.
SELECT AVG(min_lat)
FROM #jpr_storm_count
Get a list of all atlantic storms with at least 50 measurements.
SELECT Name,
YEAR(Date)
FROM atlantic
GROUP BY Name, YEAR(Date)
HAVING count(*) > 50
Create a temporary table with Name, Year, Maximum Maximum Wind of atlantic storms which go south of 10
SELECT Name,
YEAR(Date) Year,
MAX([Maximum Wind]) max_max_wind
INTO #jpr_max_wind
FROM atlantic
GROUP BY Name, YEAR(Date)
HAVING MIN(Latitude) < 10
Use the table from Exercise 4 to count how many times each name has been used.
SELECT Name,
COUNT(*) count
FROM #jpr_storm_count
GROUP BY Name
Find the average most easterly latitude of a atlantic storm with a maximum wind over 125.
SELECT MAX(latitude) max_lat
INTO #jpr_easterly
FROM atlantic
GROUP BY Name, YEAR(Date)
HAVING MAX([Maximum Wind]) > 125;
SELECT AVG(max_lat) FROM #jpr_easterly


onClick (object)
A map of options for when a link in the menu is clicked.
Possible values: an object, true
or false
.
Code example:
$("#my-menu").mmenu({ onClick : { close : true, setSelected : true, setLocationHref : null, delayLocationHref : true, blockUI : null, callback : null } });
Note that most boolean-options in the onClick
object can also be a function that returns a boolean. Inside this function this
refers to the clicked link.
onClick.close (boolean/function)
Whether or not the menu should close after clicking a link inside it.
Default value: true
.
onClick.setSelected (boolean/function)
Whether or not the clicked link should be visibly "selected".
Default value: true
.
onClick.setLocationHref (boolean/function)
Whether or not the window.location.href
should be set to the href of the clicked link.
Default value: false
if the href is equal to or starts with a hash (#), true
otherwise.
onClick.delayLocationHref (boolean/function)
Whether or not to delay setting the window.location.href
until after the menu has closed.
Default value: true
.
onClick.blockUI (boolean/function)
Whether or not to block the user interface while loading the new page.
Default value: false
if the href is equal to or starts with a hash (#), true
otherwise.
onClick.callback (function)
A function to call after the menu has closed. Inside this function, this
refers to the clicked link.
Default value: null
.


Potatoes could probably power the world. They would be safe, reliable and enviromentally friendly. Millions of Potato batteries would need to be built—but then halfway through we would get hungry and have to make Potato Salad out of them.
The First Potato Salad ICO
By now, you've got to be tired of the word ICO (Well, I am). The hype for weeks, network clogs, hacks, empty airdrop promises, and eventual token value loss. Let's be honest, in a not too distant dystopian future (or probably now), most crypto will be worthless anyway, with a few winners.
The PSTK ICO is open, transparent and honest. It's open because, well, I shared all the ripped-off source code with you. It's transparent by offering no value through silly promises of investment, securities or products. It's honest with no expectation of gains or the typical ICO headaches. Think of this like a GoFundMe campaign requesting gifts from strangers! The other purpose of this token is to relentlessly annoy legitimate coins by existing. C'mon it's Potato Salad—you'll pretty much have to.
Token value
You are probably concerned about value, if so, I've got news for you! Unlike most ICO's, these tokens aren't worth anything to start with, so there's nowhere to go but up! Buy tokens and add no value whatsoever! It's that easy! Seriously, what's wrong with you, don't mistakenly expect this token to increase in value.
 This website was ripped off of an existing theme, with help from w3schools. Through a weekend of rummaging around the internet, I learned all about Ethereum smart contracts and Solidity to launch this ICO. Most of the smart contract contract code is copied from GitHub and Medium articles, so it should be pretty much right… right O_o?
Also, I definitely didn't have any smart contract experts look at the contract before I launched it. Why bother? All the other ICOs go through weeks of auditing and they still end up with bugs and vulnerabilities in their contracts.
Timeline
I would be absolutely thrilled if the timeline events (alternate version) were to happen. Legally obligated to say that the exchange part, will not happen and I am not thrilled about...
But really as I said before, no guarantees and no promises.
The crowdsale begins on:
December 1st, 2018 at 2:00 P.M. UTC
(don't worry, I set a reminder on my phone)
and will run until:
January 1st, 2019 at 2:00 P.M. UTC
(or until I feel like ending it)
*add address here*
• To participate in the PSTK ICO, just send as much Ether as you want to the PSTK token/crowdsale
contract from your personal Ethereum wallets like MyEtherWallet, Metamask, Parity, Mist or Ledger (hardware wallet).
• You must send funds from a wallet you control (private keys). DO NOT send funds from any exchanges. For example, you'll lose your coins from an exchange - Coinbase, Poloniex and etc.
• Make sure you provide enough gas limit for the transaction—100,000 and 60 GWEI gas price or so ought to do it.
• PSTK tokens will be sent immediately to the wallet from which the ETH arrived.
• I'm not your momma, but by participating in this fundraiser you agree to the terms and conditions (at the very bottom of this page).
• This is not a security or an investment and there are no products. I am requesting gifts from strangers and they are getting worthless PSTK's in return.
The more Ether everyone contributes, the more tokens you get.
The base token distribution formula is very simple: for every 1 ETH you contribute, you'll receive 1000 PSTK, Like this:
| Transaction | Ether sent | Total Ether sent | PSTK received |
|---|---|---|---|
| #1 | 1.000 ETH | 1.000 ETH | 1000.000 PSTK |
Wait… is this a joke? Is it a scam? Is it legal?
This is real—and it's 100% transparent. You're literally giving your money to someone on the internet and getting Potato Salad tokens in return.
It's legal because this like a GoFundMe campaign requesting gifts from strangers!
There are no “whitepapers,” no “products, ” no “value, ” and no “experts.”
Why are you doing this?
Who knows? Maybe it's because I lost money in the recent BTC flash crash. Maybe I got inspired by the guy who crowdfunded the potato salad. Or even the many people that have made a killing from from other token sales. Maybe I'm just way too bored and need a better hobby.
What can I do with PSTK?
PSTK is a standard ERC20 token, so you can hold it and transfer it.
Other than that… nothing. Absolutely nothing.
(Seriously, don't buy this. Why are you even still reading?)
Will PSTK be traded on any exchanges?
I can't promise value, remember? But I can't control what happens to the token moving forward after the crowdsale, either ;).
Will there be more chances to buy PSTK?
That's a great question! It totally depends on how the ICO performs in the beginning. If I don't make enough money to make or buy at least one Potato Salad, I'll probably keep the ICO open longer than initially stated.
How do I get a refund for the tokens I bought?
You're kidding, right?


I am Xano, @BartFeenstra, and http://mynameisbart.com.
The form of programming that uses instances (objects) of classes (predefined data types) to structure (group) information and functionality.
Objects have state (internal configuration) which can be changed.
Most, if not all usages of static variables in Drupal 7 have been replaced with object properties in Drupal 8.
Interfaces define what objects must be able to do,
but do not define how they must do these things.
They are contracts that must be fulfilled.
<?php
interface FooInterface {
public function doFoo($foo);
}
interface FooMultipleInterface extends FooInterface {
public function doFooMultiple(array $foos);
}
Classes define what objects must do and how to do this.
In good design, they implement interfaces.
Classes can be instantiated into objects.
<?php
class Foo implements FooInterface {
public function doFoo($foo) {
return sprintf('Hello %s!', $foo);
}
}
$foo = new Foo();
$foo->doFoo('world');
// returns "Hello world!"
Abstract classes provide partial implementations, but cannot be instantiated.
<?php
abstract class AbstractFoo implements FooMultipleInterface {
public function doFoo($foo) {
return sprintf('Hello %s!', $foo);
}
}
class Foo extends AbstractFoo implements FooMultipleInterface {
public function doFooMultiple(array $foos) {
$greetings = [];
foreach ($foos as $foo) {
$greetings[] = sprintf('Hello %s!', $foo);
}
return implode(' ', $greetings);
}
}
$foo = new Foo();
$foo->doFooMultiple(['world', 'Drupal']);
// returns "Hello world!" and "Hello Drupal!"
Traits provide re-usable implementations that can reduce boilerplate code.
Classes can use traits.
<?php
trait FooTrait {
public function doFoo($foo) {
return sprintf('Hello %s!', $foo);
}
}
class Foo implements FooInterface {
use FooTrait;
}
$foo = new Foo();
$foo->doFoo('world');
// returns "Hello world!"
Interfaces, traits, and classes can be extended.
Child classes can access methods from their parent classes.
<?php
class Foo implements FooInterface {
public function doFoo($foo) {
return sprintf('Hello %s!', $foo);
}
}
class PoliteFoo extends Foo {
public function doFoo($foo) {
$message = parent::doFoo($foo);
$message .= ' How are you?';
return $message;
}
}
$foo = new Foo();
$foo->doFoo('world');
// returns "Hello world! How are you?"
$this points to the current object.
<?php
abstract class AbstractFoo implements FooMultipleInterface {
public function doFoo($foo) {
return sprintf('Hello %s!', $foo);
}
}
class Foo extends AbstractFoo implements FooMultipleInterface {
public function doFooMultiple(array $foos) {
$greetings = [];
foreach ($foos as $foo) {
$greetings[] = $this->doFoo($foo);
}
return implode(' ', $greetings);
}
}
$foo = new Foo();
$foo->doFooMultiple(['world', 'Drupal']);
// returns "Hello world!" and "Hello Drupal!"
Developers control which methods can be called from outside the class.
<?php
class Bar {
protected function doBar() {}
}
$bar = new Bar();
$bar->doBar();
// $bar->doBar() causes an error, because we call a protected method from outside the class.
When accepted as a function parameter (type hinting).
In a block of code (instanceof).
<?php
function foo(FooInterface $foo) {
// Here we only know $foo implements FooInterface.
if ($foo instanceof FooMultipleInterface) {
// Now we know $foo implements FooMultipleInterface too.
}
}
Industry standard with several available autoloaders.
Class names map to file names.
Namespaces map to directory names.
Much faster and less frustrating than the Drupal 7 registry.
Example: \Drupal\payment\Entity\PaymentInterface
maps to ./src/Entity/PaymentInterface.php
.
Review this presentation at http://slideshare.net/bartfeenstra.
I am Xano, @BartFeenstra, and http://mynameisbart.com.


From start-ups, to public sector and large private firms, ACT. Consulting will work with you to initialise and support your Testing capabilities. Using our methods and expertise, we will support the release of quality software through your development lifecycle, making each release better than the last
ACT. Consulting are independent of large consulting firms, our ambition is to bring expertise and not numbers. As a team we strive to support each other, understanding not only new technologies but existing as well.
ACT. Consulting are specialists in Automation Test tools from open-source to commercial. We're also adept in a range of languages both strong and weak typed.
We have even started developing our own range of functional tools for specialist situations, utilising the speed of performance testing.
Metallize


About the Apple ][
The Apple II was first created in Silicon Valley, and Texas soon after. They first became available to buy on June 10th, 1977. The circut boards were manufactured in Ireland and Singapore. It was one of the first computers with a color display, and it has the BASIC programming language built-in. What made sales of the Apple II take-off was the new spreadsheet program VisiCalc. It adds columns and rows of data and instantly gives you the results. This was the first affordable program to perform such an amazing feat, something which corporate accountants previously spent hours laboriously calculating by hand. VisiCalc transformed the Apple II into a serious business machine.
Specifications:
- Processor: MOS Technology 6502 processor running at 1.023 MHz as the Apple I.
- Memory: came with 4-64k of RAM.
- Display: supported 6 fixed colors at 280x192 (High) resolution, and 16 colors at 40x48 (Low) resolution.
- Expansion: included 8 expansion slots, with the first slot reserved for RAM/ROM upgrades
Operating System:
- Integer BASIC: all versions, designed by Steve Wozniak
- Applesoft BASIC: all versions, designed by Randy Wigginton
- DOS: all versions, 3.1 to 3.3
- ProDOS: all versions


Structsure Charon: MongoDB Security Monitor
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 Even the imperial legions, long inured to the bloodshed, yearn for some respite. Yet Empress Laseen's rule remains absolute, enforced by her dread Claw assassins.
For Sergeant Whiskeyjack and his squad of Bridgeburners, and for Tattersail, surviving cadre mage of the Second Legion, the aftermath of the siege of Pale should have been a time to mourn the many dead. But Darujhistan, last of the Free Cities of Genabackis, yet holds out. It is to this ancient citadel that Laseen turns her predatory gaze.
But it would appear that the Empire is not alone in this great game. Sinister, shadowbound forces are gathering as the gods themselves prepare to play their hand...
The stains of rust seemed to map blood seas on the black, pocked surface of Mock's Vane. A century old, it squatted on the point of an old pike that had been bolted to the outer top of the Hold's Wall. Monstrous and misshapen, it had been cold-hammered into the form of a winged demon, teeth bared in a leering grin, and was tugged and buffeted in squealing protest with every gust of wind.


Public Member Functions | |
| generic | init => initDefault, fromFString |
| generic | assignment => copy, fromFString |
| generic | operator => add, addFStr |
| generic | operator => lt |
| generic | operator => eq, eqFStr |
| generic | operator => neq, neqFStr |
| generic | operator => add, addFStr |
| procedure | initdefault |
| procedure | fromfstring |
| procedure | copy |
| final | destroy |
| procedure | str |
| procedure | show |
| procedure | isempty |
| procedure | length |
| procedure | at |
| procedure | add |
| procedure | addfstr |
| procedure | lt |
| procedure | eq |
| procedure | eqfstr |
| procedure | neq |
| procedure | neqfstr |
| procedure | split |
| procedure | tointeger |
| procedure | toreal |
| procedure | removetabs |
| procedure | hashkey |
| procedure | isnumeric |
| procedure | toupper |
| procedure | tolower |
| procedure | replace |
| procedure | replacebyrealarr |
Public Attributes | |
| character(:), allocatable | fstr |
Definition at line 152 of file String.f90.
| procedure string_::string::add | ( | ) |
Definition at line 177 of file String.f90.
| procedure string_::string::addfstr | ( | ) |
Definition at line 178 of file String.f90.
| generic string_::string::assignment | ( | ) |
Definition at line 157 of file String.f90.
| procedure string_::string::at | ( | ) |
Definition at line 176 of file String.f90.
| procedure string_::string::copy | ( | ) |
Definition at line 169 of file String.f90.
|
final |
Definition at line 170 of file String.f90.
| procedure string_::string::eq | ( | ) |
Definition at line 180 of file String.f90.
| procedure string_::string::eqfstr | ( | ) |
Definition at line 181 of file String.f90.
| procedure string_::string::fromfstring | ( | ) |
Definition at line 166 of file String.f90.
| procedure string_::string::hashkey | ( | ) |
Definition at line 188 of file String.f90.
| generic string_::string::init | ( | ) |
Definition at line 156 of file String.f90.
| procedure string_::string::initdefault | ( | ) |
Definition at line 165 of file String.f90.
| procedure string_::string::isempty | ( | ) |
Definition at line 174 of file String.f90.
| procedure string_::string::isnumeric | ( | ) |
Definition at line 189 of file String.f90.
| procedure string_::string::length | ( | ) |
Definition at line 175 of file String.f90.
| procedure string_::string::lt | ( | ) |
Definition at line 179 of file String.f90.
| procedure string_::string::neq | ( | ) |
Definition at line 182 of file String.f90.
| procedure string_::string::neqfstr | ( | ) |
Definition at line 183 of file String.f90.
| generic string_::string::operator | ( | ) |
Definition at line 159 of file String.f90.
| generic string_::string::operator | ( | ) |
Definition at line 158 of file String.f90.
| generic string_::string::operator | ( | ) |
Definition at line 160 of file String.f90.
| generic string_::string::operator | ( | ) |
Definition at line 161 of file String.f90.
| generic string_::string::operator | ( | ) |
Definition at line 162 of file String.f90.
| procedure string_::string::removetabs | ( | ) |
Definition at line 187 of file String.f90.
| procedure string_::string::replace | ( | ) |
Definition at line 192 of file String.f90.
| procedure string_::string::replacebyrealarr | ( | ) |
Definition at line 193 of file String.f90.
| procedure string_::string::show | ( | ) |
Definition at line 172 of file String.f90.
| procedure string_::string::split | ( | ) |
Definition at line 184 of file String.f90.
| procedure string_::string::str | ( | ) |
Definition at line 171 of file String.f90.
| procedure string_::string::tointeger | ( | ) |
Definition at line 185 of file String.f90.
| procedure string_::string::tolower | ( | ) |
Definition at line 191 of file String.f90.
| procedure string_::string::toreal | ( | ) |
Definition at line 186 of file String.f90.
| procedure string_::string::toupper | ( | ) |
Definition at line 190 of file String.f90.
| character(:), allocatable string_::string::fstr |
Definition at line 153 of file String.f90.


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