Popular Areas in easy built trailer boats
Boat Trailer launching and trailing tips.
Boat Trailer, how to take the stress out of Boat launching and recovery. . Preparation can be as simple as going through a check list to make sure nothing is left . take your time and don't rush it, that's when mistakes are most likely to be made.
http://www.diy-wood-boat.com/Boat_Trailer.html
Building the Trailer
I would highly recommend them both to any one considering building a boat trailer. I have . I could have built the trailer without it but it sure has made it easy.
http://www.egyptian.net/~raymacke/Tralier1.html
Boat Trailer Outlet - Home
Boat Trailer Outlet - Online purchase and delivery of Boat Trailers at Outlet prices. . Thanks for taking time with us and making our boat trailer purchase easier . been made to ensure the accuracy of the data displayed, Boat Trailer Outlet is .
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Boat Trailer Plans-www.boatdesigns.com
Created by designer, Ken Hankinson, long associated with TRAILERBOATS Magazine as . all aspects of the project for QUICK & EASY assembly by anyone who can weld steel. . Trailer Series 5000/6000 built by Doug Harrison (Titan Tug ) .
http://www.boatdesigns.com/Boat-Trailer-Plans/products/529/
Boat Trailer Registration at DMV.org: The DMV Made Simple
Boat Trailer Registration information at DMV.ORG. Find information for Boat Trailer Registration and other DMV information.
http://search.dmv.org/dmv/boat-trailer-registration
Tebben Enterprises: Boat Trailers
We've engineered our entire line of boat trailers to make your towing easier and . By eliminating sharp angled bends we've made the frame stronger with less .
http://www.tebben.us/trailer.html
Some Interesting Small Boat Trailers
When I get home from the lake, it is just so simple to unhook my trailer and . small and light boats is that most trailer springs are built to carry atleast 1000 lbs .
http://www.shortypen.com/projects/misc-small-sailboat-trailers/


Using our two shortcut notations, define Q to be equal to:
expression
clarification Now, suppose that we apply Q to itself n times, yielding the expression (Q Q ... Q) that contains n + 1 copies of Q. Let us call this expression Rn. For example, in the expression R2 = (Q Q Q), Q is applied to itself twice. So R2 contains 3 copies of Q.
After all of this setup, we are now ready for the punch line: if we pick the right value of n, Rn is a fixed-point combinator, just like the Y combinator!
What is the value of n so that Rn is a fixed-point combinator?
What λ expression results if we apply Q to itself once, that is, what is R1 = (Q Q)? Keep Q intact whenever possible; that is, expand Q into its full expression only when needed. For now, perform only ONE β-reduction.
What λ expression results if we apply (Q Q) to Q, that is, what is R2 = (Q Q Q)? Perform only ONE more β-reduction for now.
What λ expression results if we apply (Q Q Q) to Q, that is, what is R3 = (Q Q Q Q)? Again, perform only ONE more β-reduction.
If you see a pattern emerge, generalize it to answer the question. Otherwise, do as many β-reductions as it takes until you get the answer.
The correct answer is: answer


|
BitShares-Core
6.1.0
BitShares blockchain implementation and command-line interface software
|
#include <fstream.hpp>
Classes | |
| class | impl |
Public Types | |
| enum | mode { in, binary } |
| enum | seekdir { beg, cur, end } |
Public Member Functions | |
| ifstream () | |
| ifstream (const fc::path &file, int m=binary) | |
| ~ifstream () | |
| void | open (const fc::path &file, int m) |
| size_t | readsome (char *buf, size_t len) |
| size_t | readsome (const std::shared_ptr< char > &buffer, size_t max, size_t offset) |
| ifstream & | read (char *buf, size_t len) |
| ifstream & | seekg (size_t p, seekdir d=beg) |
| void | get (char &c) |
| void | close () |
| bool | eof () const |
| Public Member Functions inherited from fc::istream | |
| virtual | ~istream () |
| istream & | read (char *buf, size_t len) |
| istream & | read (const std::shared_ptr< char > &buf, size_t len, size_t offset=0) |
| virtual char | get () |
| void | get (char &c) |
Definition at line 27 of file fstream.hpp.
| enum fc::ifstream::mode |
| Enumerator | |
|---|---|
| in | |
| binary |
Definition at line 29 of file fstream.hpp.
| Enumerator | |
|---|---|
| beg | |
| cur | |
| end |
Definition at line 30 of file fstream.hpp.
| fc::ifstream::ifstream | ( | ) |
Definition at line 55 of file fstream.cpp.
Definition at line 57 of file fstream.cpp.
| fc::ifstream::~ifstream | ( | ) |
Definition at line 62 of file fstream.cpp.
| void fc::ifstream::close | ( | ) |
Definition at line 103 of file fstream.cpp.
| bool fc::ifstream::eof | ( | ) | const |
Definition at line 105 of file fstream.cpp.
|
inline |
Definition at line 42 of file fstream.hpp.
| void fc::ifstream::open | ( | const fc::path & | file, |
| int | m | ||
| ) |
Definition at line 64 of file fstream.cpp.
| ifstream & fc::ifstream::read | ( | char * | buf, |
| size_t | len | ||
| ) |
Definition at line 87 of file fstream.cpp.
|
virtual |
read at least 1 byte or throw, if no data is available this method should block cooperatively until data is available or fc::eof is thrown.
| fc::eof | if at least 1 byte cannot be read |
Implements fc::istream.
Definition at line 69 of file fstream.cpp.
|
virtual |
Implements fc::istream.
Definition at line 82 of file fstream.cpp.
Definition at line 95 of file fstream.cpp.


| Reputation | 0 (Ranked #7) |
| Age | 0s |
| Time playing | 49y:332d:16h:10m:54s |
| Hack count | 0 |
| IP Resets | 0 |
| Servers used to DDoS | 0 |
| Spam sent | 0 mails |
| Warez uploaded | 0 GB |
| Missions completed | 0 |
| Profile clicks | 0 |
| Money earned | $0 |
| Money transferred | $0 |
| Money spent on hardware | $0 |
| Money spent on research | $0 |


AWARE
Photos of the development progress
Photos of the first generation Aware camera.
AWARE Research Page
About
This page provides links to images aquired by Duke's Aware multiscale cameras. Aware technology is described on the
AWARE Research page
and in publications referenced on that page.
Images
Duke image database
DISP images hosted by gigapan.com
Duke Commencement 2013
Duke Chapel
ERROR:
Javascript not activated


#* The server renders this HTML page in an end-user's browser when the user must authenticate locally to establish an account link. Velocity variables (identified by the $ character) are generated at runtime by the server. Change text or formatting as needed. Modifying Velocity statements is not recommended as it may interfere with expected server behavior. *# #set( $messageKeyPrefix = "LocalIdPasswordLookup.form.template." )


Hello World
It works!
This post suggests that I correctly have my Hugo-rendered site up and running. Check the link for more information on the Hugo open-source software, but essentially, it takes Markdown content and renders static site pages for much faster delivery than a traditional CMS with a database, such as Wordpress.
For now, I have the content being hosted for free on Netlify which does offer a reasonable amount of hosting features at no cost. My intent is to integrate the open-source Netlify CMS so I don’t have to write Markdown files in a text editor. And then at some point, I’ll likely move the entire site to GitHub Pages for free.
Why GitHub Pages?
Because all of the content on this site is actually stored on GitHub.
That offers me a relatively permanent record of all the content. At the moment Netlify looks for changes to my blog repo and serves up the static pages.
Things to do
- Remove/modify the default yellow SVG image for this theme
- Tweak the theme so it looks how I want (I want some blurbs under each post on the home page, for example.)
- Create/add favicon
- Create templates for various types of content
- Find and implement an open source commenting system
- Install/integrate the Netlify CMS
- Move site to GitHub Pages
- Point custom domain to site
- Programmatically archive and display my Twitter history
- See if I can hook the CMS into Google Photos via an API; every image I capture on my own is in Google Photos.
- Look at coding an image converter (or connecting to one using JS) so all images are .webp if supported and .jpeg/.gif/.png if not
- Code something up to save multiple image sizes for better responsive web experience
Thanks to…
Chris Stayte: Helpful videos on how to set up & use Hugo as well as Netlify
Munif Tanjam: I wanted a great looking, highly customizable minimalist theme and Munif’s Minimo is what I chose.
Dave Winer: For getting me to think about keeping my content out of silos.


fun getInt(key: String): Int?
Gets a Integer from the wrapped UBObject Returns null if the value was not a number or the key-value pair did not exist


jyotisha.panchangam.helper_functions¶
-
class
jyotisha.panchangam.helper_functions.
City
(name, latitude, longitude, timezone)[source]¶ This class enables the construction of a city object
-
class
jyotisha.panchangam.helper_functions.
Time
(t)[source]¶ This class is a time class with methods for printing, conversion etc.
-
jyotisha.panchangam.helper_functions.
get_angam
(jd, angam_type)[source]¶ Returns the angam prevailing at a particular time
- Args:
- float jd: The Julian Day at which the angam is to be computed float arc_len: The arc_len for the corresponding angam w_moon: The multiplier for moon’s longitude w_sun: The multiplier for sun’s longitude
- Returns:
- int angam
Examples: >>> get_angam(2444961.7125,NAKSHATRAM) 16
>>> get_angam(2444961.7125,TITHI) 28
>>> get_angam(2444961.7125,YOGAM) 8
>>> get_angam(2444961.7125,KARANAM) 55
-
jyotisha.panchangam.helper_functions.
get_angam_data
(jd_sunrise, jd_sunrise_tmrw, angam_type)[source]¶ Computes angam data for angams such as tithi, nakshatram, yogam and karanam.
- Args:
- angam_type: TITHI, NAKSHATRAM, YOGAM, KARANAM, SOLAR_MONTH, SOLAR_NAKSH
- Returns:
- tuple: A tuple comprising
- angam_sunrise: The angam that prevails as sunrise angam_data: a list of (int, float) tuples detailing the angams for the day and their end-times (Julian day)
- Examples:
>>> get_angam_data(2444961.54042,2444962.54076,TITHI) [(27, 2444961.599213231)] >>> get_angam_data(2444961.54042,2444962.54076,NAKSHATRAM) [(16, 2444961.7487953394)] >>> get_angam_data(2444961.54042,2444962.54076,YOGAM) [(8, 2444962.1861976916)] >>> get_angam_data(2444961.54042,2444962.54076,KARANAM) [(54, 2444961.599213231), (55, 2444962.15444546)]
-
jyotisha.panchangam.helper_functions.
get_angam_float
(jd, angam_type, offset=0, debug=False)[source]¶ Returns the angam
- Args:
- float jd: The Julian Day at which the angam is to be computed angam_type: One of the pre-defined constants in the panchangam class, such as TITHI, NAKSHATRAM, YOGAM, KARANAM or SOLAR_MONTH
- Returns:
- float angam
- Examples:
>>> get_angam_float(2444961.7125,NAKSHATRAM) 15.967801358055189
-
jyotisha.panchangam.helper_functions.
get_angam_span
(jd1, jd2, angam_type, target, debug=False)[source]¶ Computes angam spans for angams such as tithi, nakshatram, yogam and karanam.
- Args:
- jd1: return all spans that start after this date jd2: return all spans that end before this date angam_type: TITHI, NAKSHATRAM, YOGAM, KARANAM, SOLAR_MONTH, SOLAR_NAKSH
- Returns:
- list: A list comprising tuples of start and end times that lie within
- jd1 and jd2
-
jyotisha.panchangam.helper_functions.
get_ekadashi_name
(paksha, lmonth)[source]¶ Return the name of an ekadashi
-
jyotisha.panchangam.helper_functions.
get_kalas
(start_span, end_span, part_start, num_parts)[source]¶ Compute kalas in a given span with specified fractions
- Args:
- float (jd) start_span float (jd) end_span int part_start int num_parts
- Returns:
- tuple (start_time_jd, end_time_jd)
Examples:
-
jyotisha.panchangam.helper_functions.
get_lagna_data
(jd_sunrise, lat, lon, tz_off, debug=False)[source]¶ Returns the lagna data
- Args:
- float jd: The Julian Day at which the lagnam is to be computed lat: Latitude of the place where the lagnam is to be computed lon: Longitude of the place where the lagnam is to be computed offset: Used by internal functions for bracketing
- Returns:
- tuples detailing the end time of each lagna, beginning with the one prevailing at sunrise
- Examples:
>>> get_lagna_data(2458222.5208333335, lat=13.08784, lon=80.27847, tz_off=5.5) [(12, 2458222.5214310056), (1, 2458222.596420153), (2, 2458222.6812926503), (3, 2458222.772619788), (4, 2458222.8624254186), (5, 2458222.9478168003), (6, 2458223.0322211445), (7, 2458223.1202004547), (8, 2458223.211770839), (9, 2458223.3000455885), (10, 2458223.3787625884), (11, 2458223.4494649624)]
-
jyotisha.panchangam.helper_functions.
get_lagna_float
(jd, lat, lon, offset=0, debug=False)[source]¶ Returns the angam
- Args:
- float jd: The Julian Day at which the lagnam is to be computed lat: Latitude of the place where the lagnam is to be computed lon: Longitude of the place where the lagnam is to be computed offset: Used by internal functions for bracketing
- Returns:
- float lagna
- Examples:
>>> get_lagna_float(2444961.7125,13.08784, 80.27847) 10.353595502472984
-
jyotisha.panchangam.helper_functions.
get_nakshatram
(jd)[source]¶ Returns the nakshatram prevailing at a given moment
Nakshatram is computed based on the longitude of the Moon; in addition, to obtain the absolute value of the longitude, the ayanamsa is required to be subtracted.
- Args:
- float jd, the Julian day
- Returns:
- int nakShatram, where 1 stands for Ashwini, …, 14 stands for Chitra, …, 27 stands for Revati
- Examples:
>>> get_nakshatram(2444961.7125) 16
-
jyotisha.panchangam.helper_functions.
get_nirayana_sun_lon
(jd, offset=0, debug=False)[source]¶ Returns the nirayana longitude of the sun
- Args:
- float jd: The Julian Day at which the angam is to be computed
- Returns:
- float longitude
Examples:
-
jyotisha.panchangam.helper_functions.
get_solar_month_day
(jd_start, city)[source]¶ Compute the solar month and day for a given Julian day
Computes the solar month and day on the day corresponding to a given Julian day
- Args:
- float jd city
- Returns:
- int solar_month int solar_month_day
- Examples:
>>> get_solar_month_day(2457023.27, city('Chennai', '13:05:24', '80:16:12', 'Asia/Calcutta')) (9, 17)
-
jyotisha.panchangam.helper_functions.
get_solar_rashi
(jd)[source]¶ Returns the solar rashi prevailing at a given moment
Solar month is computed based on the longitude of the sun; in addition, to obtain the absolute value of the longitude, the ayanamsa is required to be subtracted.
- Args:
- float jd, the Julian day
- Returns:
- int rashi, where 1 stands for mESa, …, 12 stands for mIna
- Examples:
>>> get_solar_rashi(2444961.7125) 9
-
jyotisha.panchangam.helper_functions.
get_tithi
(jd)[source]¶ Returns the tithi prevailing at a given moment
Tithi is computed as the difference in the longitudes of the moon and sun at any given point of time. Therefore, even the ayanamsha does not matter, as it gets cancelled out.
- Args:
- float jd, the Julian day
- Returns:
- int tithi, where 1 stands for ShuklapakshaPrathama, …, 15 stands for Paurnamasi, …, 23 stands for KrishnapakshaAshtami, 30 stands for Amavasya
- Examples:
>>> get_tithi(2444961.7125) 28
-
jyotisha.panchangam.helper_functions.
print_lat_lon
(latstr, lonstr)[source]¶ Returns a formatted string for a latitude and longitude
Returns a formatted string for latitude and longitude, given sexagesimal ‘strings’ using colons for separation
- Args:
- str latstr str lonstr
- Returns:
- string corresponding to the formatted latitude and longitude
- Examples:
>>> print_lat_lon('13:05:24','80:16:12') #Chennai "13°05'24''N, 80°16'12''E" >>> print_lat_lon('37:23:59','-122:08:34') #Palo Alto "37°23'59''N, 122°08'34''W" >>> print_lat_lon('1','-1') "1°0'0''N, 1°0'0''W"
-
jyotisha.panchangam.helper_functions.
revjul
(jd, formatstr='%4d-%02d-%02d %02d:%02d:%02d', tz_off=0)[source]¶ Returns a more human readable revjul compared to swe
Converts a given jd (float) to a tuple [y,m,d,h,mm,ss]
- Args:
- A float corresponding to a Julian day
- Returns:
- A tuple detailing the year, month, day, hour, minute and second
- Examples:
>>> revjul(2444961.7125, None) (1981, 12, 23, 5, 6, 0) >>> revjul(2444961.7125) '1981-12-23 05:06:00'
-
jyotisha.panchangam.helper_functions.
sexastr2deci
(sexa_str)[source]¶ Converts as sexagesimal string to decimal
Converts a given sexagesimal string to its decimal value
- Args:
- A string encoding of a sexagesimal value, with the various components separated by colons
- Returns:
- A decimal value corresponding to the sexagesimal string
- Examples:
>>> sexastr2deci('15:30:00') 15.5 >>> sexastr2deci('-15:30:45') -15.5125


This test makes sure that we don't scroll unnecessarily to reveal an editable HTML Element.
If the document doesn't scroll, test passes.
This demonstrates a bug: normally, focusing an element will select its contents.
If the document scrolls here, test fails.


CrimPapers
Articles published on 28 June 2018
On 28 June 2018, 12 new articles were published in 10 journals.
Engaging Mothers With Substance Use Issues and Their Children in Early Intervention: Understanding Use of Service and Outcomes
The Rwandan Diaspora in Canada and the United States: Reconciliation and Justice by Jennifer J. Marson
Book Review by Muhammad Asadullah
Grime: Criminal Subculture Or Public Counterculture? A Critical Investigation Into the Criminalization of Black Musical Subcultures in the UK by Lambros Fatsis
Bullying and Alexithymia: Are There Differences Between Traditional, Cyber, Combined Bullies, and Nonbullies in Reading Their Own Emotions? by Sebastianwachs
,
michelle F.wright
The Influence of Earlier Parental Violence on Juvenile Delinquency: the Role of Social Bonds, Self-Control, Delinquent Peer Association and Moral Values As Mediators
Sexual Orientation and Bullying Involvement in Adolescence: the Role of Gender, Age, and Mental Health by Leena Kurki-Kangas, Mauri Marttunen, Sari Fröjd, Riittakerttu Kaltiala-Heino
Eve S. Buzawa and Carl G. Buzawa (eds) (2017). Global Responses to Domestic Violence
Verifiability on the Run: An Experimental Study on the Verifiability Approach to Malingered Symptoms by Irena Boskovic, Claudia Tejada Gallardo, Aldert Vrij, Lorraine Hope, Harald Merckelbach
An Assessment of Factors Affecting Airport Security Services: An Ahp Approach and Case in Turkey
Young Blood: Understanding the Emergence of A New Cohort of Australian Jihadists by Shandon Harris-Hogan, Kate Barrelle
Violence, Insecurity, and Religiosity: A Multilevel Analysis of 71 Countries by Miguel Carreras, Ajay Verghese


iPhone 5
BRAID
info
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Tablet (Portrait)
Load
Add
global js
Run
Reset
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http://nexusosc.com/drop/braid?
This is a QR Code to your last saved or loaded interface. If you have not recently saved your interface, do so now and generate a new QR code.


First Come First Serve
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Shortest Job First
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Shortest Remaining Time First
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Hoa Vu-Hiep Pham
Unafffiliated
Currently unemployed. Previously employed by Our Lady of the Woods Catholic church in Woodland Park, CO; City Market in Woodland Park, CO; Honeywell Aerospace and Defense division in Clearwater, FL
BS in Computer Engineering from University of South Florida, Tampa, FL - 05/2001
80104
I have not donated to any campaigns or political organizations since Nov. 10, 2015.
Pikes Peak Mycological Society (PPMS) - Colorado Springs (2014-2017) Colorado Mycological Society (CMS) - Denver (2017-present)
I was PPMS secretary, foray coordinator and newsletter editor from 2015 to 2017. My duties included, but were not limited to: - Taking meeting minutes for board meetings and general meetings - Creating monthly newsletters during the summer season (April – October) - Scouting, coordinating, and leading mycological forays on the Front Range. I also coordinated a weekend-long foray (4 days) in Buena Vista for over 50 attendees (both CMS & PPMS members and noted/published mycologists). This included booking housing, planning meals, scouting foray locations, recruiting volunteers, and communicating/organizing logistics with volunteers and attendees. I created a booklet with Kit Scate’s Easy ID Guide to Gilled Mushrooms and PPMS foray tags Volunteered at the Denver Botanic Garden’s annual Mushroom Fair; sorted specimens and set up identification tables, manned an informational booth on poisonous/toxic mushrooms. I created, and am still one of the administrators of, the PPMS Facebook group where local Coloradans who have an interest in mycology (whether for food or science) can join, post pictures of their finds, ask questions about identification, our local mushroom season or anything mycologically related.
I feel it is my civic duty, as a citizen and resident of Colorado, to contribute to the advancement of my community and state. As an immigrant and college-educated female minority, I also want my demographic to be represented.
Growing up as the youngest of six in a multi-generational household I learned how to pick my battles, stand up for what I believed in, not be bullied or intimidated by my elders (siblings), and make compromises without compromising my core values. Being a female engineer in a male dominated profession, I learned diplomacy, leadership and communication skills. But most importantly, I perfected the art of persuasion. I built and maintained rapport with, and achieved respect from my colleagues, subordinates and supervisors. As a test engineer, one must be fair and impartial in order to determine root cause and corrective action. I learned that my initial assessment of a situation wasn’t always the most accurate once all the data and information was collected and analyzed. I have trained myself to see both sides of an argument prior to making a conclusion.
I was a design and test engineer for the better part of nine years. I was required to approach problems by seeing both pros and cons to every aspect of a design and how best to proceed based on all the information available. Due to my educational and career choices, I have superlative analytical skills. I make spreadsheets for just about anything that I deem an important decision – like buying a house or a car, moving, landscaping ideas, and making general repairs. As an avid (and quite successful) mushroom hunter, I rely on my analytical skills to first pour over satellite images and terrain maps to determine whether or not a location is worth exploring. I’ll then go in the off-season to enjoy a hike and observe the surrounding environment to determine the types of mushrooms that would most likely be growing based on the ecosystem present (types of trees, amount of water, shade, etc). Then during the season I check weather radar maps and forecasts to determine when the best time would be to go hunting – only after integrating all this information. Even the most seasoned mushroom hunters I’ve met are in awe of my ability to know exactly when, where and how to find the choicest of the choice edible mushrooms in Colorado. I’ve only been doing this as a hobby for 6 years.
Female


I'm an experienced Application Engineer with a demonstrated history of working in the software industry. Skilled in PHP, Salesforce, Google Cloud Platform, Bash, and Windows Server. Strong engineering professional with an Engineer's degree focused in Computer Science.
View my workHello! My name is Javier, and I'm a web developer from San Salvador, El Salvador. I enjoy building everything from small business sites to rich interactive web apps.
I have a diverse set of skills, ranging from Linux server administration to HTML + CSS + Javascript, PHP and Database administration.
If you are a business seeking a web presence or an employer looking to hire, give me a call or send me an email and I will get back to you as soon as possible!
(503) 7721-8722


Athyam Krupa Keerthana
-
Navatatransport 25 street,bangalore
INDIA -
+91-9876543210
-
<EMAIL_ADDRESS>Athyam Krupa Keerthana
Personal details
| Name | : | A.Keerthana |
| Father;s Name | : | A.Sobhanadri |
| Mother Name | : | A.Geetha bhavani |
| Age & DOB | : | 19 & 10 oct 2000 |
| Gender | : | Female |
| Marital Status | : | Unmarried |
| Nationality | : | Indian |
| PAN NO | : | HF567HHVG7867 |
| Aadher no | : |<PHONE_NUMBER>896 |
| Vater ID | : | TG952356896 |
| Permanent address | : | H NO 8-124,Bangalore |
| Contact no | : |<PHONE_NUMBER>2 |
| Declaration | : | I here by declare that all the above furnished Information is true of the best of my knowledge |
Career Objective
Works for an organization which provides me the opportunity to improve my skills and knowledge to growth along with the organization objective.
Academic Qualification :
| Qualification | Institution/place | Board/university | Year of out | %/gpa |
|---|---|---|---|---|
| B-tech cse(upto 3-1) | Eluru college of engineering and technology | jntuk | 2021 | 80 |
| Intermediate | Sri chaitanya jr college | Intermediate board of education | 2017 | 95.8 |
| 10th class | Bhashyam EM high school | Secondary board of education | 2015 | 7.7 |
Technical Qualifications:
| Languages | : | c,c++,java |
| Packages | : | MS office,MS word |
| Operating System | : | Windows,Linux |
| Data bases | : | DBMS,SQL |
| Web technologies | : | html,css,bootstrap,templates |
Achivements and Accomplishments:
Active participations:
Hobbies
Coming to my hobbies,browsing net to know about the new information and sports such as competing on a team or in a league
Date:
Place:


public class IQImagingProperties
extends java.lang.Object
| Modifier and Type | Class and Description |
|---|---|
static class |
IQImagingProperties.IQImageFormat
Defines the supported image formats for Intelligent Imaging
|
| Modifier and Type | Field and Description |
|---|---|
int |
AspectRatio
Ratio of barcode height to narrow element width (Practical range 1 to 1000)
|
int |
Format
IQ Image Format
|
int |
Height
Height of image in IntellBarcodeUnits (Practical range -500 to 500)
|
int |
Reserved
Must be set to -1
|
int |
Resolution
# pixels/IntellBarcodeUnits (Practical range 1 to 100)
|
int |
Width
Width of image in IntellBarcodeUnits (Practical range -500 to 500)
|
int |
X_Offset
Offset in X direction, relative to barcode center (Practical range -500 to 500)
|
int |
Y_Offset
Offset in Y direction, relative to barcode center (Practical range -500 to 500)
|
| Constructor and Description |
|---|
IQImagingProperties()
Class for IQ Imaging Structure that defines the parameters used during
the attempt to acquire an Intelligent Image
|
public int AspectRatio
public int X_Offset
public int Y_Offset
public int Width
public int Height
public int Resolution
public int Format
public int Reserved


- NAMING - Static variable in class ec.island.IslandModel
-
- Nearest - Class in ec.algorithms.alps.replacement.age
-
- Nearest() - Constructor for class ec.algorithms.alps.replacement.age.Nearest
-
- Nearest - Class in ec.algorithms.alps.replacement.sfs
-
- Nearest() - Constructor for class ec.algorithms.alps.replacement.sfs.Nearest
-
- Nearest - Class in ec.operator.operations.replacement.steadystate
-
- Nearest() - Constructor for class ec.operator.operations.replacement.steadystate.Nearest
-
- NearestNeighbor - Class in ec.algorithms.simulatedannealing.core
-
- NearestNeighbor(double[][], int) - Constructor for class ec.algorithms.simulatedannealing.core.NearestNeighbor
-
Constructor that finds the path and the cost of the nearest neighbor solution
- newInstance(Class<T>) - Method in interface ec.util.deepclone.cloning.IInstantiationStrategy
-
- newInstance(Class<T>) - Method in class ec.util.deepclone.cloning.ObjenesisInstantiationStrategy
-
- nextBoolean() - Method in class ec.util.random.MersenneTwisterFast
-
- nextBoolean(float) - Method in class ec.util.random.MersenneTwisterFast
-
This generates a coin flip with a probability probability
of returning true, else returning false.
- nextBoolean(double) - Method in class ec.util.random.MersenneTwisterFast
-
This generates a coin flip with a probability probability
of returning true, else returning false.
- nextBoolean() - Method in interface ec.util.random.RandomNumberGenerator
-
Get the next boolean
- nextBoolean(double) - Method in interface ec.util.random.RandomNumberGenerator
-
Get the next boolean with probability of true defined by d
0<=d<=1
- nextByte() - Method in class ec.util.random.MersenneTwisterFast
-
- nextBytes(byte[]) - Method in class ec.util.random.MersenneTwisterFast
-
- nextChar() - Method in class ec.util.random.MersenneTwisterFast
-
- nextChar() - Method in interface ec.util.random.RandomNumberGenerator
-
Get the next char
- nextDouble() - Method in class ec.util.random.MersenneTwisterFast
-
Returns a random double in the half-open range from [0.0,1.0).
- nextDouble() - Method in class ec.util.random.RandomGenerator
-
- nextDouble() - Method in interface ec.util.random.RandomNumberGenerator
-
Get the next double 0<=x<1
- nextFloat() - Method in class ec.util.random.MersenneTwisterFast
-
Returns a random float in the half-open range from [0.0f,1.0f).
- nextGaussian() - Method in class ec.util.random.MersenneTwisterFast
-
- nextGeneration(Evolve, PopulationFitness, CrossoverModule, MutationModule, SelectionOperation, StatisticsCollector, ArrayList<Population>, int, int) - Method in class ec.operator.operations.replacement.Generational
-
GENERATE next generation First, individuals are restricted to only
breeding with individuals in their own layer or from the layer
immediately before them.
- nextGeneration(Evolve, PopulationFitness, CrossoverModule, MutationModule, SelectionOperation, StatisticsCollector, ArrayList<Population>, int, int) - Method in class ec.operator.operations.replacement.SteadyState
-
TODO not completed
GENERATE next generation
- nextGeneration(Evolve, PopulationFitness, CrossoverModule, MutationModule, SelectionOperation, StatisticsCollector, ArrayList<Population>, int, int) - Method in interface ec.operator.operations.ReplacementStrategy
-
GENERATE next generation
- nextGenerationALPS(Evolve, PopulationFitness, CrossoverModule, MutationModule, SelectionOperation, StatisticsCollector, ALPSReplacement, ArrayList<Population>, ALPSLayers, int, int) - Method in class ec.operator.operations.replacement.Generational
-
GENERATE next generation First, individuals are restricted to only
breeding with individuals in their own layer or from the layer
immediately before them.
- nextGenerationALPS(Evolve, PopulationFitness, CrossoverModule, MutationModule, SelectionOperation, StatisticsCollector, ALPSReplacement, ArrayList<Population>, ALPSLayers, int, int) - Method in class ec.operator.operations.replacement.SteadyState
-
- nextGenerationALPS(Evolve, PopulationFitness, CrossoverModule, MutationModule, SelectionOperation, StatisticsCollector, ALPSReplacement, ArrayList<Population>, ALPSLayers, int, int) - Method in interface ec.operator.operations.ReplacementStrategy
-
GENERATE next generation
- nextInt() - Method in class ec.util.random.MersenneTwisterFast
-
- nextInt(int) - Method in class ec.util.random.MersenneTwisterFast
-
Returns an integer drawn uniformly from 0 to n-1.
- nextInt(int) - Method in interface ec.util.random.RandomNumberGenerator
-
Get the next int, where n is max
- nextInt() - Method in interface ec.util.random.RandomNumberGenerator
-
Get the next int
- nextLong() - Method in class ec.util.random.MersenneTwisterFast
-
- nextLong(long) - Method in class ec.util.random.MersenneTwisterFast
-
Returns a long drawn uniformly from 0 to n-1.
- nextShort() - Method in class ec.util.random.MersenneTwisterFast
-
- nextShort() - Method in interface ec.util.random.RandomNumberGenerator
-
Get the next short
- nullInsteadOfClone(Class<?>...) - Method in class ec.util.deepclone.cloning.Cloner
-
instead of cloning these classes will set the field to null
- NUM_AGENTS - Static variable in class ec.util.Constants
-
number of agents - number of workers to search the best path
- NUMBER_INDIVIDUALS_PRINT - Static variable in class ec.util.Constants
-
- number_of_experiments - Variable in class ec.algorithms.alps.system.Engine
-
- number_of_experiments - Variable in class ec.algorithms.ga.Evolve
-
- NUMBER_OF_EXPERIMENTS - Static variable in class ec.util.Constants
-
- NUMBER_OF_ITERATIONS - Static variable in class ec.util.Constants
-
describes how fast the ants are going to select their path
- NUMBER_OF_NODES - Static variable in class ec.util.Constants
-
- numberOfLayers - Static variable in class ec.algorithms.alps.system.Engine
-


1. To enroll yourself in the approval process, you need to Sign-Up.
2. The Sign-Up Process includes filling up some specific details so that the teacher can confirm you as a student of the college.
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5. Approvals are done by HoD of respective branches and you can contact them if your Sign-Up request hasn't been approved since more than 2 days.
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VW Group names Markus Duesmann as new Audi chief
FRANKFURT, Nov 15 — Sprawling 12-brand German car giant Volkswagen said today Markus Duesmann would take the helm at high-end subsidiary Audi, also joining the group-wide executive board.
The former BMW purchasing chief and engineer will head Audi from April, hoping to secure a turnaround at the struggling manufacturer — long one of the VW group’s flagships.
Duesmann, 50, “will do everything in his power to leverage the full potential of the Audi brand”, VW chief executive Herbert Diess said in a statement.
At BMW and previously Mercedes-Benz parent Daimler, Duesmann also headed development in the high-end manufacturers’ Formula One teams.
On top of leading Audi, the new boss’s role on the board will include overseeing research and development across the VW group, taking over the portfolio from Diess.
Under departing head Bram Schot, Audi reported falling sales, revenues and operating profits over the first nine months of 2019.
It suffered more than other German manufacturers from the introduction last year of the new WLTP emissions testing standards in the European Union, which created bottlenecks in production.
Audi has also ramped up spending on new technologies, including battery-electric and hybrid vehicles, connectivity and autonomous driving.
Group-wide, VW plans to spend some €60 billion (RM275 billion) on research into such future technologies by 2024, it announced separately today, with 75 electric and 60 hybrid vehicles planned in the next decade.
Meanwhile increased labour costs have also weighed on Audi’s bottom line.
With the global auto market slowing, Audi recently slashed the night shift in two of its factories, without letting any of its employees go.
And the firm also had to pay last year an €800 million fine over its role in the “dieselgate” emissions cheating scandal that has dogged VW since 2015.
Its engineers are suspected of having helped developed software used to make cars emit less pollutants under lab testing conditions than on the road. — AFP


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Hi everyone. This is an open source website to host the fixtures we would be doing.
If you want to join the fixtures, please contact me and we can add you into the tournament
The fixtures are a round robin style & are scored by wins, and losses. A win will be awarded 2 points, and loss as 1 point. The ranks will be awarded from highest score as being number 1 ranked player.
When you complete a game, send me the results and I will update the page.
| 1 | 2 | 3 | 4 | Total | |
|---|---|---|---|---|---|
| 1. Players name | Blank | ||||
| 2. Players name | Blank | ||||
| 3. Players name | Blank | ||||
| 4. Players name | Blank |
| Player 1 | Vs. | Player 2 |


public class Rc522
extends java.lang.Object
| Modifier and Type | Field and Description |
|---|---|
static byte |
AUTH_A
Authentication using Key A
|
static byte |
AUTH_B
Authentication using Key B
|
| Constructor and Description |
|---|
Rc522(android.content.Context context,
com.google.android.things.pio.SpiDevice spiDevice,
com.google.android.things.pio.Gpio resetPin)
Deprecated.
use
Rc522(SpiDevice, Gpio) instead. |
Rc522(com.google.android.things.pio.SpiDevice spiDevice,
com.google.android.things.pio.Gpio resetPin)
Initializes RC522 with the configured SPI port and pins.
|
| Modifier and Type | Method and Description |
|---|---|
boolean |
antiCollisionDetect()
Checks for collision errors
|
boolean |
authenticateCard(byte authMode,
byte address,
byte[] key)
Authenticates the use of a specific address.
|
boolean |
authenticateCard(byte authMode,
byte address,
byte[] key,
byte[] uid)
Deprecated.
use
authenticateCard(byte, byte, byte[]) instead |
static byte[] |
calculateAccessBits(byte[][] accessConditions)
Calculates the access bits for a sector trailer (bytes 6 to 7) based on Table 6 and Table 7
on MIFARE 1k's reference
|
static byte[] |
calculateAccessBits(byte[] c1,
byte[] c2,
byte[] c3)
Calculates the access bits for a sector trailer (bytes 6 to 7) based on Table 6 and Table 7
on MIFARE 1k's reference
|
static byte[][] |
calculateAccessConditions(byte[] accessBits)
Calculates the individual access conditions given the access bits
|
static java.lang.String |
dataToHexString(byte[] data)
Converts a data byte array to a string representing its 16 bytes in hexadecimal
|
boolean |
decreaseBlock(byte address,
int operand)
Decreases the value of a block by the specified operand.
|
java.lang.String |
dumpMifare1k()
Dumps all the data in all data blocks in MIFARE 1K cards with default authentication keys.
|
static byte |
getBlockAddress(byte sector,
byte block)
MIFARE tags blocks are organized in sectors, this calculates the address of a block in a
specific sector
|
static byte |
getBlockAddress(int sector,
int block)
MIFARE tags blocks are organized in sectors, this calculates the address of a block in a
specific sector
|
byte[] |
getUid()
Gets the UID of the last card that was successfully read.
|
java.lang.String |
getUidString()
Returns a string representation of the last read tag's UID, separated by '-'
|
java.lang.String |
getUidString(java.lang.String separator)
Returns a string representation of the last read tag's UID
|
byte[] |
getUuid()
Deprecated.
Method renamed, use
getUid() instead |
boolean |
increaseBlock(byte address,
int operand)
Increases the value of a block by the specified operand.
|
byte[] |
readBlock(byte address)
Deprecated.
Use
readBlock(byte, byte[]) as it can report read status |
boolean |
readBlock(byte address,
byte[] buffer)
Reads the current data stored in the tag's block.
|
java.lang.Integer |
readValue(byte address)
Reads a value block and converts the stored value
|
boolean |
request()
Requests for a tag
|
boolean |
request(byte requestMode)
Requests for a tag
|
boolean |
restoreBlock(byte address)
Writes on the transfer buffer the contents of a value block
|
boolean |
selectTag(byte[] uid)
Selects the tag to be used in following operations
|
void |
setDebugging(boolean debugging) |
void |
stopCrypto()
Ends operations that use crypto and cleans up
|
boolean |
transferBlock(byte address)
Writes the contents of the transfer buffer to a block
|
boolean |
write(byte address,
byte[] data)
Deprecated.
renamed to
writeBlock(byte, byte[]) . |
boolean |
writeBlock(byte address,
byte[] data)
Writes data to a block in the tag.
|
boolean |
writeTrailer(byte sector,
byte[] keyA,
byte[] accessBits,
byte userData,
byte[] keyB)
Writes a sector's trailer's data.
|
boolean |
writeValue(byte address,
int value)
Writes a 32-bit signed integer to a value block in the required format
The format is specified in section <IP_ADDRESS> in MIFARE 1k's datasheet
Tag must be selected and block authenticated
|
public static final byte AUTH_A
public static final byte AUTH_B
@Deprecated public Rc522(android.content.Context context, com.google.android.things.pio.SpiDevice spiDevice, com.google.android.things.pio.Gpio resetPin) throws java.io.IOException
Rc522(SpiDevice, Gpio)
instead.context
- Parameter no longer used, use Rc522(SpiDevice, Gpio)
instead.spiDevice
- SPI port used on the boardresetPin
- Pin connected to the RST pin on the RC522java.io.IOException
public Rc522(com.google.android.things.pio.SpiDevice spiDevice, com.google.android.things.pio.Gpio resetPin) throws java.io.IOException
spiDevice
- SPI port used on the boardresetPin
- Pin connected to the RST pin on the RC522java.io.IOException
public void setDebugging(boolean debugging)
public byte[] getUid()
@Deprecated public byte[] getUuid()
getUid()
insteadpublic java.lang.String getUidString(java.lang.String separator)
separator
- The character that separates each element of the uidpublic java.lang.String getUidString()
public boolean request()
public boolean request(byte requestMode)
requestMode
- the type of request being madepublic boolean antiCollisionDetect()
public boolean selectTag(byte[] uid)
uid
- Byte array containing the tag's uidpublic boolean authenticateCard(byte authMode, byte address, byte[] key)
@Deprecated public boolean authenticateCard(byte authMode, byte address, byte[] key, byte[] uid)
authenticateCard(byte, byte, byte[])
insteadpublic void stopCrypto()
public boolean readBlock(byte address, byte[] buffer)
address
- the address of the block to read data frombuffer
- the byte array to store the read data to. Length must be 16@Deprecated public byte[] readBlock(byte address)
readBlock(byte, byte[])
as it can report read statusaddress
- the byte address of the block to read frompublic boolean writeBlock(byte address, byte[] data)
address
- the byte address of the block to write todata
- 16 byte array with the data that wants to be written@Deprecated public boolean write(byte address, byte[] data)
writeBlock(byte, byte[])
.address
- the byte address of the block to write todata
- 16 byte array with the data that wants to be writtenpublic boolean increaseBlock(byte address, int operand)
address
- the block's addressoperand
- the sum's operandpublic boolean decreaseBlock(byte address, int operand)
address
- the block's addressoperand
- the substraction's operandpublic boolean transferBlock(byte address)
address
- the address of the block to write topublic boolean restoreBlock(byte address)
address
- the address of the block to read frompublic boolean writeValue(byte address, int value)
address
- the block's addressvalue
- new value to be written to the block@Nullable public java.lang.Integer readValue(byte address)
address
- the block's addresspublic boolean writeTrailer(byte sector, byte[] keyA, byte[] accessBits, byte userData, byte[] keyB)
sector
- the sector's numberkeyA
- the new key A that will be setaccessBits
- the access bits that will be set. Can be obtained with calculateAccessBits(byte[], byte[], byte[])
userData
- a single byte containing user datakeyB
- the new key B that will be setpublic static byte getBlockAddress(byte sector, byte block)
sector
- the sector numberblock
- the sector's blockpublic static byte getBlockAddress(int sector, int block)
sector
- the sector numberblock
- the sector's blockpublic static java.lang.String dataToHexString(byte[] data)
data
- the byte array holding the datapublic java.lang.String dumpMifare1k()
selectTag(byte[])
before
This won't work if a sector's KEY A or access bits have been changedpublic static byte[] calculateAccessBits(byte[] c1, byte[] c2, byte[] c3)
c1
- byte array for the c1 values for block 0, 1, 2 and 3 respectivelyc2
- byte array for the c2 values for block 0, 1, 2 and 3 respectivelyc3
- byte array for the c3 values for block 0, 1, 2 and 3 respectivelypublic static byte[] calculateAccessBits(byte[][] accessConditions)
accessConditions
- a 2d array containing the access conditions for each blockpublic static byte[][] calculateAccessConditions(byte[] accessBits)
accessBits
- 3 bytes array containing the access bits of a sector trailer (bytes 6 to 7)


Provides a way to call the functions in 'SUNDIALS' C ODE solving library (<https://computation.llnl.gov/projects/sundials>). Currently the serial version of ODE solver, 'CVODE' from the library can be accessed. The package requires ODE to be written using 'Rcpp' and does not require the libraries to be installed on the system.
| Version: | 0.1.1 |
| Imports: | Rcpp (≥ 0.12.5) |
| LinkingTo: | Rcpp |
| Suggests: | knitr, rmarkdown |
| Published: | 2018-07-22 |
| Author: | Satyaprakash Nayak [aut, cre], Scott D Cohen [ctb], Alan C Hindmarsh [ctb], Radu Serban [ctb], Dan Shumaker [ctb], Daniel R Reynolds [ctb], Aaron Collier [ctb], David Gardner [ctb], Carol Woodward [ctb], Slaven Peles [ctb], Peter Brown [ctb], Hilari C Tiedeman [ctb], Ting Yan [ctb], Lawrence Livermore National Security [cph], Southern Methodist University [cph] |
| Maintainer: | Satyaprakash Nayak <sn248 at cornell.edu> |
| BugReports: | https://github.com/sn248/sundialr/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/sn248/sundialr |
| NeedsCompilation: | yes |
| Materials: | README |
| In views: | DifferentialEquations |
| CRAN checks: | sundialr results |
| Reference manual: | sundialr.pdf |
| Vignettes: |
sundialr - A wrapper around CVODE solver from SUNDIALS |
| Package source: | sundialr_0.1.1.tar.gz |
| Windows binaries: | r-devel: sundialr_0.1.1.zip, r-release: sundialr_0.1.1.zip, r-oldrel: sundialr_0.1.1.zip |
| OS X binaries: | r-release: sundialr_0.1.1.tgz, r-oldrel: sundialr_0.1.1.tgz |
| Old sources: | sundialr archive |
Please use the canonical form https://CRAN.R-project.org/package=sundialr to link to this page.


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information these cookies collect is aggregated and is therefore anonymous. The information is only used to
improve how the website works.
Functionality:These cookies allow the website to remember choices you make (such as your user name, language
or the region you are in) and provide enhanced, more personal features (for example, remembering changes you
have made to text size and fonts).
If you reside outside the EU, we also use a fourth type of cookie for Targeting or Advertising:
Targeting or Advertising:We sometimes partner with third parties to deliver more relevant advertisements and
to compile web statistics. These third parties may use cookies, web beacons and other tracking technology to
monitor your visits to both Christie’s and other websites. They monitor your online behaviour and identify
website usage, helping advertisers show you advertising and content that is more relevant to you. Some
examples of what Targeting and Advertising
Cookies do:
Provide advertisers with information about your visit to our websites so they can show you advertising that
is relevant to you.
Limit the number of times you see an advertisement.
Help measure the effectiveness of an advertising campaign.
Don't worry - none of these cookies store personally identifiable information and we only use trusted
advertising partners. Just so you know, these third parties will have their own privacy policies and they
may be different from ours.
LotFinder®
Christie’s provides users of www.christies.com the opportunity to inform others (each, a “recipient”) about
a sale or lot for sale, which will require the sender to provide us with the recipient’s email address(es).
At the sender’s request, Christie’s will automatically send the recipient an email on behalf of the sender
containing a link to Christie’s site which has the information about the sale or lot. Christie’s will not
initiate any further contact with the recipient, beyond the email sent on behalf of the sender, unless the
recipient specifically “subscribes” for extra services by filling out a registration form.
If you, as a recipient, do not wish to receive further e-mails from the sender and Christies, please reply
to the sender requesting they stop sending you the email in the future. Christie’s does not accept
responsibility for any third party’s use (or misuse) of this service.
IP Address
We may collect information about your computer, including your internet address, operating system and
browser type when you visit us. Your internet address is used to help identify and gather statistical or
demographic information about our customers generally. We also use this information for internal system
administration to help diagnose problems with our servers, to administer our website and the customer or
user experience.
HOW IS THIS PERSONAL INFORMATION USED?
Christie’s will collect, record, store and use your personal data world-wide among the Christie’s group
companies for clearly specified purposes including but not limited to:
providing you with information, products or services that you request from us or which we believe would
interest you in a way that is targeted and relevant. This could include but is not limited to auctions,
private sales, storage services and transportation, valuations, real estate, education and insurance;
carrying out our obligations arising from any contracts entered into between you and us;
notifying you about changes to our products and services;
ensuring that our website is presented in the most effective manner for you and your computer
selling or purchasing property or services
(unless you object,) advising you of forthcoming sales, events and services.
We may contact you for the above purposes by telephone call, email, text or SMS messaging and other means.
SHARING INFORMATION
We will not share your personal data with anyone outside the Christie’s group of companies other than in
accordance with the law and as stated in this Policy. Each of the countries in which we operate has
different privacy laws. Our Privacy Policy will reflect those.
We may from time to time however need to disclose your personal data to certain third parties.
Agents or Contractors of Christie’s
We may need to disclose certain personal information to our Agents or Contractors to enable Christie’s to
process transactions, administer events or communicate with you. Where we do so it will be on the basis that
these agents/contractors are required to keep the information confidential and secure, and will not use the
information for any other purpose than to carry out the services they are performing for Christie’s.
Anti-Money Laundering and Regulatory Authorities
We may need to retain and disclose certain information about you to regulatory authorities and to
appropriate agencies to conduct anti-money laundering and trade sanction checks and to assist with fraud
prevention, in particular, in compliance with our AML obligations and in relation to trade sanctions. We
will disclose this information as is required by law.
Credit Agencies
We may need to disclose certain personal information about you to credit agencies to conduct appropriate
checks when you are transacting with us.
Legal Disclosures
While we will not voluntarily disclose your personal data we may disclose such information if we are
required to do so by a valid Court Order, if we are lawfully requested by government or law enforcement
authorities, if we are required to do so pursuant to other legal processes, or if it becomes necessary to
protect the rights or property of Christie’s.
WORLDWIDE TRANSFERS AND PROCESSING
As a global organisation, Christie’s may process your personal information as described above in countries
outside of the EEA. Each of these countries has differing privacy laws offering different levels of
protection for your personal information. Our Privacy Policy reflects these varying practices and we will
act in accordance with this Policy in all jurisdictions we operate in. By providing your personal
information to Christie’s, you consent to us processing your personal information in any jurisdiction, in
accordance with this Policy.
CONTACTING YOU
In order to provide you with marketing information about our products and services, we may contact you by
email, text, SMS or any other messaging service, telephone, fax and by post. At the bottom of any marketing
emails you will have a clearly marked unsubscribe option from future mailings. In addition, you may at any
time send an email to<EMAIL_ADDRESS>asking for your name to be removed from our lists.
YOUR RIGHTS
You have the legal right to a copy of the information which we hold about you, including information on how
this will be used and to ensure this information is accurate. You also have the right to ask us not to
process your personal data for marketing purposes - you can exercise this right by checking certain boxes on
the forms we use to collect data or at any time by contacting us at<EMAIL_ADDRESS>SECURITY
We will take all reasonable and appropriate steps to protect the security and integrity of all personal
information provided to our website, or by any other means electronic or otherwise.
We will ensure that your personal data within Christie’s is suitably protected against both unauthorised
physical and electronic access. These measures include an electronic firewall and various other protection
measures that involve virus scanning, installation of security patches, vulnerability testing, backup and
recovery planning, employee training, security audits and other steps designed constantly to improve the
data protection posture. However, we cannot guarantee that information during transmission through the
internet or any computer network is entirely safe from unauthorised intrusion, access or manipulation. We
will have no liability for disclosure of information due to errors or unauthorised acts of third parties. In
any event, where we believe personal data has been compromised, we will notify you of this.
THIRD-PARTY WEBSITES
The Christie’s sites contain links to other websites which are not operated by Christie’s. The information
you provide to us will not be transmitted to other websites. However, these websites may collect personal
information about you in accordance with their own privac policies. Christie’s is not responsible for the
privacy practices or the content of such websites.

We will hold your information on our systems for as long as is necessary for the relevant activity, or for
as long as is specified in any agreement between you and us.
CHANGES TO THIS POLICY
We reserve the right to amend or update this Privacy Policy and any of our privacy practices at any time. We
will notify users of this website by posting any updated policy on this page and such changes will be
effective immediately and without further notice. Where appropriate, we may notify you directly of changes
to the Privacy Policy either through email or a prominent notice on our website.
CONTACT
If you have any queries in relation to the use and protection of your personal data please contact us at
info@christies.com.


much tips. wow.
Wafty Man
The most accurate Flappy Bird clone out there. Made with love.
Free to play, NOW!
Mister Moonboots
Free game for the iPad by Mr Speaker: Like bouncing? Dub? The infinity of space?
Play NOW!


I'm serious about web and software development
I love building responsive websites using HTML, CSS, JavaScript.
Lately, I’ve been working on the full stack part of web development. I’ve also been using WordPress for a long time and can teach you all about it!
My hobbies include classic video games and pinball, resale and style, blogging, motorcycles, and writing.
Random fact: if you watched TV or movies during 2007-2008, you probably saw me on the screen and didn’t even know it!
Check out another version of this site and read my blog here.
One of my most productive days was throwing away 1000 lines of code. — Ken Thompson
Below you'll find some of my recent work.
Let's be social.


ForceDiagram
-
class
compas_ags.diagrams.
ForceDiagram
[source] Bases:
compas.datastructures.network.network.Network
Methods
__init__
()Initialize self.
add_edge
(u, v[, attr_dict])Add an edge and specify its attributes (optional).
add_vertex
([key, attr_dict])Add a vertex and specify its attributes (optional).
anchor
()clear
()copy
()delete_edge
(u, v)delete_vertex
(key)edge_connected_edges
(u, v)edge_coordinates
(u, v[, axes])Return the coordinates of the start and end point of an edge.
edge_direction
(u, v)Return the direction vector of an edge.
edge_label_name
(u, v)Get the name of an edge label.
edge_length
(u, v)Return the length of an edge.
edge_midpoint
(u, v)Return the location of the midpoint of an edge.
edge_name
(u, v)Get the name of an edge.
edge_point
(u, v[, t])Return the location of a point along an edge.
edge_vector
(u, v)Return the vector of an edge.
edges
([data])Return an iterator for the edges and their attributes (optional).
edges_where
(conditions[, data])Get edges for which a certain condition or set of conditions is true.
fixed
()from_data
(data)Construct a datastructure from structured data.
from_formdiagram
(formdiagram)from_grid
(xlim, ylim)from_json
(filepath)Construct a datastructure from structured data contained in a json file.
from_lines
(lines[, precision])from_obj
(filepath[, precision])from_vertices_and_edges
(vertices, edges)Get the identifier of a random edge.
Get the identifier of a random vertex.
get_any_vertices
(n[, exclude_leaves])Get a list of identifiers of a random set of n vertices.
get_edge_attribute
(key, name[, value])Get the value of a named attribute of one edge.
get_edge_attributes
(key, names[, values])Get the value of a named attribute of one edge.
get_edges_attribute
(name[, value, keys])Get the value of a named attribute of multiple edges.
get_edges_attributes
(names[, values, keys])Get the values of multiple named attribute of multiple edges.
get_vertex_attribute
(key, name[, value])Get the value of a named attribute of one vertex.
get_vertex_attributes
(key, names[, values])Get the value of a named attribute of one vertex.
get_vertices_attribute
(name[, value, keys])Get the value of a named attribute of multiple vertices.
get_vertices_attributes
(names[, values, keys])Get the values of multiple named attribute of multiple vertices.
gkey_key
([precision])Returns a dictionary that maps geometric keys of a certain precision to the keys of the corresponding vertices.
has_edge
(u, v[, directed])has_vertex
(key)Returns a dictionary that maps the indices of a vertex list to keys in a vertex dictionary.
index_uv
()Returns a dictionary that maps edges in a list to the corresponding vertex key pairs.
is_vertex_connected
(key)is_vertex_leaf
(key)is_vertex_orphan
(key)key_gkey
([precision])Returns a dictionary that maps vertex dictionary keys to the corresponding geometric key up to a certain precision.
Returns a dictionary that maps vertex dictionary keys to the corresponding index in a vertex list or array.
leaves
()ordered_edges
(form[, index])set_edge_attribute
(key, name, value)Set one attribute of one edge.
set_edge_attributes
(key, names, values)Set multiple attributes of one edge.
set_edges_attribute
(name, value[, keys])Set one attribute of multiple edges.
set_edges_attributes
(names, values[, keys])Set multiple attributes of multiple edges.
set_fixed
(keys)set_vertex_attribute
(key, name, value)Set one attribute of one vertex.
set_vertex_attributes
(key, names, values)Set multiple attributes of one vertex.
set_vertices_attribute
(name, value[, keys])Set one attribute of multiple vertices.
set_vertices_attributes
(names, values[, keys])Set multiple attributes of multiple vertices.
split_edge
(u, v[, t])Split and edge by inserting a vertex along its length.
summary
()Print a summary of the mesh.
to_data
()Returns a dictionary of structured data representing the data structure.
to_json
(filepath)Serialise the structured data representing the data structure to json.
to_lines
([axes])to_obj
()to_points
([axes])update
(formdiagram)update_default_edge_attributes
([attr_dict])Update the default edge attributes (this also affects already existing edges).
update_default_vertex_attributes
([attr_dict])Update the default vertex attributes (this also affects already existing vertices).
uv_index
([form])Returns a dictionary that maps edge keys (i.e.
Return the edges connected to a vertex.
vertex_coordinates
(key[, axes])Return the coordinates of a vertex.
vertex_degree
(key)Return the number of neighbors of a vertex.
vertex_degree_in
(key)Return the numer of incoming neighbors of a vertex.
vertex_degree_out
(key)Return the number of outgoing neighbors of a vertex.
vertex_label_name
(key)Get the name of a vertex label.
vertex_laplacian
(key)Return the vector from the vertex to the centroid of its 1-ring neighborhood.
vertex_name
(key)Get the name of a vertex.
vertex_neighborhood
(key[, ring])Return the vertices in the neighborhood of a vertex.
vertex_neighbors
(key)Return the neighbors of a vertex.
vertex_neighbors_in
(key)Return the incoming neighbors of a vertex.
vertex_neighbors_out
(key)Return the outgoing neighbors of a vertex.
vertices
([data])Return an iterator for the vertices and their attributes (optional).
vertices_where
(conditions[, data])Get vertices for which a certain condition or set of conditions is true.
xy
()list: The XY coordinates of the vertices.
Attributes
adjacency
Alias for the halfedge attribute.
data
Return a data dict of this data structure for serialisation.
name
str
– The name of the data structure.x
list – The X coordinates of the vertices.
xyz
list – The XYZ coordinates of the vertices.
y
list – The Y coordinates of the vertices.
z
list – The Z coordinates of the vertices.


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Back pain is a common problem among the adult population. Suffering from back pain can cause limitations to mobility, making everyday activities difficult to conduct. Inability to undertake these basic activities can be demoralising, as such advancements should be made to tackle the growing issue.
One such advancement that can be made is the development of an automated desk unit that raises and lowers drawers for the user’s convenience – the inspiration for this endeavour. This project specifically focuses on accessibility of low shelves – developing an automated unit that reduces the need to reach down.
The target market for the device is the elderly population – the sector of the population in which back pain is most prevalent. Research shows that 65-85% of older adults suffer from musculoskeletal pain, with up to 70% suffering from back pain. Therefore, developing a device to assist with reaching low level storage will immensely improve quality of life by improving independent function and minimising strain on the back.
Additional consideration must be taken when designing towards the elderly. The interface must be intuitive to operate. The product must not leave the user susceptible to harm from uncovered mechanisms or protruding sharp edges. These key points, as well as others, were considered when forming a solution.
Advaith Sastry is a third year Mechanical Engineering student at Imperial College London.
As Chief Technical Officer of AutoDrawer, Advaith has overall responsibility for the conceptual design of the technical subsystems. He has a specific focus on designing the top surface and safety flap of the unit.
Advaith's skills include experience in CAD softwares such as SolidWorks and Fusion 360. He has familiarity in woodworking from undertaking personal projects. His internship experience with Actuation Technology and Arduino landed him the role of Mechatronics Specialist.
Ossian Keith is a third year Mechanical Engineering student at Imperial College London.
As Co-Chief Executive Officer of AutoDrawer, along with Jesidhn Pillai, Ossian has overall responsibility for co-ordinating the direction and timing of the project. He has a specific focus on designing the linear rail system in AutoDrawer.
Ossian's skills also include experience in CAD softwares such as SolidWorks and Fusion 360. He has experience in programming (ROS and Embedded C) - specifically useful in designing the control algorithm for AutoDrawer. His personal hobbies include drone design, giving him experience in electronics.
Jesidhn Pillai is a third year Mechanical Engineering student at Imperial College London
As Co-Chief Executive Officer of AutoDrawer, along with Ossian Keith, Jesidhn has overall responsibility for co-ordinating the direction and timing of the project. He has a specific focus on sourcing electronics and developing the circuitry for AutoDrawer.
Jesidhn’s superior skills in CAD has landed him the role of CAD specialist. Additionally, his experiences in electronics from the ME3 Design, Make and Test project make him ideally suited to designing the electronics subsystems.
Lydia Edwards is a third year Mechanical Engineering student at Imperial College London
As Chief Financial Officer, Lydia has overall responsibility for ordering components and managing documentation. She has a specific focus on designing the bracket that connects to the linear rail and the drawers for AutoDrawer.
Lydia’s skills include CAD – Solidworks and Fusion 360. Additionally, her experience in design for manufacture through personal hobbies as well as extra-curricular activities landed her the role of Manufacturing Lead.


REpresentational State Transfer (REST) is a style of software architecture for distributed systems such as the World Wide Web.
A RESTful API is a web service implemented using HTTP and the principles of REST.
Roy Fielding doctoral dissertation, 2000.
Separate clients and servers.
Each request from the client contains all the information necessary to service the request.
Clients can cache responses, if permitted by the server.
Load balancers, proxies, firewalls etc.
Client can request code from server and execute it.
Between the client and the server.
Through URI. api.toshl.com/users/42
POST, GET, PUT/PATCH, DELETE
Through meta data.
HATEOAS, huh?
A client interacts with a network application entirely through hypermedia provided dynamically by application servers. A REST client needs no prior knowledge about how to interact with any particular application or server beyond a generic understanding of hypermedia.
In HTML
, <form>
,
etc.
Think things through
Check the spec RFC 2616.
https://api.toshl.com/expenses
https://api.toshl.com/expenses/42
https://api.toshl.com/budgets
https://api.toshl.com/export
$ curl -v https://api.toshl.com
> GET / HTTP/1.1
>
< HTTP/1.1 204 No Content
< Allow: GET
< Link: </expenses>; rel="expenses",</expenses/tags>; rel="expense tags",</incomes>; rel="incomes",...
< Content-Length: 0
< Content-Type: application/json
Include a handy Link
header.
$ curl -v https://api.toshl.com/expenses
> GET / HTTP/1.1
>
< HTTP/1.1 200 OK
< Allow: GET, POST, HEAD
$ curl -v -X POST -d "..." https://api.toshl.com/expenses
> POST /expenses HTTP/1.1
>
< HTTP/1.1 201 Created
< Allow: GET,POST
< Location: /expenses/1031
< Content-Length: 176
< Content-Type: application/json
<
{"id":1031,"amount":100,"currency":"EUR","rate":1,"date":"2012-10-23","desc":null,"tags":["food"],"loc":["0.000000","0.000000"],"modified":"2012-10-23T19:20:46+00:00Z","repeat":null,"extra":null}
Spot the error?
$ curl -v -X POST -d "..." https://api.toshl.com/expenses
> POST /expenses HTTP/1.1
>
< HTTP/1.1 201 Created
< Allow: GET,POST
< Location: /expenses/1031
< Content-Length: 200
< Content-Type: application/json
<
{"id":1031,"href":"/expenses/1031","amount":100,"currency":"EUR","rate":1,"date":"2012-10-23","desc":null,"tags":["food"],"loc":["0.000000","0.000000"],"modified":"2012-10-23T19:20:46+00:00Z","repeat":null,"extra":null}
HATEOAS - include a link to the resource URI.
$ curl -v https://api.toshl.com/expenses/1031
> GET /expenses/1031 HTTP/1.1
>
< HTTP/1.1 200 OK
< Allow: GET,PUT,PATCH,DELETE
< Content-Length: 219
< Content-Type: application/json
<
{"id":1031,"href":"/expenses/1031","amount":100,"currency":"EUR","rate":1,"date":"2012-10-23","desc":null,"tags":["food"],"loc":["0.000000","0.000000"],"modified":"2012-10-23T19:20:46+00:00Z","repeat":null,"extra":null}
$ curl -v -X PUT -d "..." https://api.toshl.com/expenses/1031
> PUT /expenses/1031 HTTP/1.1
>
< HTTP/1.1 200 OK
< Allow: GET,PUT,PATCH,DELETE
< Content-Length: 219
< Content-Type: application/json
<
{"id":1031,"href":"/expenses/1031","amount":200,"currency":"EUR","rate":1,"date":"2012-10-23","desc":null,"tags":["food"],"loc":["0.000000","0.000000"],"modified":"2012-10-23T19:20:46+00:00Z","repeat":null,"extra":null}
GET and PUT are idempotent methods.
$ curl -v -X DELETE https://api.toshl.com/expenses/1031
> DELETE /expenses/1031 HTTP/1.1
>
< HTTP/1.1 204 No Content
< Allow: GET,PUT,PATCH,DELETE
< Content-Length: 0
< Content-Type: application/json
<
{
"id": "income_limit"
"description": "Income limit reached."
}
application/json
application/vnd.toshl+json
application/vnd.toshl.expense+json
URI
https://api.toshl.com/v1/expenses/
Media Types
application/vnd.toshl.v1+json
application/vnd.toshl.expense.v1+json
https://api.toshl.com/expenses?page=1&per_page=20
What about previous/next/last links?
$ curl -v https://api.toshl.com/expenses
> GET / HTTP/1.1
>
< HTTP/1.1 200 OK
< Allow: GET, POST
< Link: <expenses?page=2>; rel="next",<expenses?page=9>; rel="last"
Timestamp 2012-10-23T22:05:37+00:00Z
. ISO 8601.
Add ?since=1351033818
Add ?since_id=37821
Using Last-Modified
and If-Modified-Since
Using Last-Modified
and ?since=2012-10-23T22:05:37+00:00Z
ETag: "3e12ec4d-994fefe4-24c8868"
If-None-Match: "3e12ec4d-994fefe4-24c8868"
OAuth 2.0
GET /expenses HTTP/1.1
Host: api.toshl.com
Authorization: Bearer vF9dft4qmT
OAuth 2.0 + MAC
GET /expenses HTTP/1.1
Host: api.toshl.com
Authorization: MAC id="h480djs93hd8",
nonce="264095:dj83hs9s",
mac="SLDJd4mg43cjQfElUs3Qub4L6xE="
A client interacts with a network application entirely through hypermedia provided dynamically by application servers. A REST client needs no prior knowledge about how to interact with any particular application or server beyond a generic understanding of hypermedia.
The WWW is fundamentally a distributed hypermedia application. —Richard Taylor
APIs and clients, they are hiding in plain sight.
Websites, HTML and the browser.
GET page
.GET uri
request.POST uri "data"
request.Web Resource Modeling Language
WRML, pronounced like "Wormle", is an open source project focused on providing standards, frameworks, and tools that support the development of web-oriented, client-server applications.
> GET /common/Collection HTTP/1.1 Host: api.schemas.wrml.org
< HTTP/1.1 200 OK
< Content-Type: application/wrml;
< format="http://api.formats.wrml.org/application/json"; schema="http://api.schemas.wrml.org/common/Collection"
{"name" : "Collection", ...}
// sample collection object
{
"collection" : {
"version" : "1.0",
"href" : URI,
"links" : [ARRAY],
"items : [ARRAY],
"queries" : [ARRAY],
"template" : {OBJECT},
"error" : {OBJECT}
}
}


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Available Services - Click one for more info
Information Technology
Infromation Technology keeps advancing day by day, so we ensure ourselves to keep improving our IT services. MDL ongoing improvements to its IT infrastructure are focused on customer service & efficiency, ensuring customer satisfaction of the service usage.
Various available IT services include MDL Depot System (MDS), Web Info Centre (WIC), Mobile Access, and other tailored report, which can be developed upon request.
Workflow
It's important to keep the workflow to be as standardized as possible in order to keep the service process transparent as well as efficient. In order to achieve this equilibrium of both transparency and efficiency, we have set a standard workflow.
The workflow we use are outlined on the picture on the left, and more information regarding this can be given by contacting us
Container Services
No two customers have exactly the same service requirements. Based on that, we know we have to customize our services to the individual need of every customer. It doesn't matter wether you want to store one container with us, or even several thousands. Transferring your container to our depot will always be smooth and hassle free.
The same goes for our warehousing service. To meet our customers' requirements, we provide strategicaly-located warehouse that can also be used as a distribution center. With a professional warehouse management, we can facilitate ground delivery to all cities nationwide, and help you manage your logistics.
Customs
As a continuation between our customers and the customs authorities, we form a professional team of customs specialists that proves to be an invaluable service when it comes to customs clearance. We will ensure that shipments are accurately classified so the clearance process will not take too much time and avoid additional costs.
Our internal system is regularly reviewed to ensure our customs clearance procedures for the benefit of our customers. And for every consignment cleared through Customs on our customer's behalf, we are able to generate comprehensive reports, specifically made to their individual requirements.
Consolidation
Understanding the needs and requirements of each customer is the basic principle in providing satisfactory services. Whatever they need, we provide. Our consolidation service is a specialised range of services that are highly developed to offer total shipping reliability and efficiency.
We offer one consignment shipping, even from multiple suppliers, with mode transportation options to ensure optimum cost effectiveness. We also monitor every shipping to ensure on-time despatch, and create reports that are tailored to show every shipping received at the destination.
Air Freight
Sometimes, overnight service is not an option. And air service is often the only major form of transportation to remote areas. At Samudera Pacific Maju, we fully understand the urgency of time critical shipments. If time is your main concern, then our air freight service is your solution.
As we committed to provide the most reliable and time-effective shipments, customer service is also something we take seriously. Our team of experienced professionals will provide you with fresh perspectives and effective solutions that will benefit you and your business.


You can perform following operations by entering items in comma separated way, ex., item1, item2
Your Array
Resultant Array


Hierarch Kekropus:
Oh, Soul Breaker -- how you must have suffered walking your path in silence all this time. What obstacles did you face? Did the power you pursue ultimately fail to meet your expectations?
"How did you know?"


JWar
Strategy “Game”
The idea of the game is to
destroy your opponents. At the start you have a single “Builder”
vehicle which
you will place more
conveniently near some resource fields and in an open spot. You will then build
the
“
In the first stage of the
game to be able to gather more resources faster. When you have a constant
Resource supply you will
probably want to create “Killers” which are the war vehicles in
this game.


API¶
Purpose¶
ncvue is a minimal GUI for a quick view of netcdf files. It is aiming to be a drop-in replacement for ncview and panoply, being slightly more general than ncview targeting maps but providing animations, zooming and panning capabilities unlike panoply.
- copyright
Copyright 2020-2021 Matthias Cuntz - mc (at) macu (dot) de
- license
MIT License, see LICENSE for details.
Subpackages¶
Contour panel of ncvue. |
|
Main ncvue window. |
|
Map panel of ncvue. |
|
Common methods for panels of ncvue. |
|
Scatter/Line panel of ncvue. |
|
|
The main function to start the data frame GUI. |
Utility functions for ncvue. |
|
Widget functions for ncvue. |
- History
Written Nov 2020 by Matthias Cuntz (mc (at) macu (dot) de)
v1.0, initial PyPI commit, Nov 2020, Matthias Cuntz
v1.1, modularised, having utilities and panels in individual files, Dec 2020, Matthias Cuntz
v1.2, Make lists of spinbox labels and values, outsource common methods, Dec 2020, Matthias Cuntz
v1.3, fix colorbar and gridlines in contour, invert x in scatter, Dec 2020, Matthias Cuntz
v1.4, Read only slice from disk, respect unlimited dimension, visual colorbar chooser, Dec 2020, Matthias Cuntz
v2.0, Added map panel, Jan 2021, Matthias Cuntz
v3.0, First version to be tested elsewhere, documentation on Github Pages, allow spaces in variable names, bug fixes, Jan 2021, Matthias Cuntz
v3.1, Include png files in ncvue/images in PyPI wheel, Jan 2021, Matthias Cuntz
v3.2, Open netcdf files from within ncvue, Jan 2021, Matthias Cuntz
v3.3, Standalone apps for macOS and Windows, Feb 2021, Matthias Cuntz
v3.3.1, Better installation instructions, Feb 2021, Matthias Cuntz
v3.4, Print values, draw grid lines in contour, May 2021, Matthias Cuntz
v3.5, Uses different themes on different OS, Jun 2021, Matthias Cuntz
v3.5.1, Explicitly set labelling of second y-axis to the right, Jun 2021, Matthias Cuntz
v3.6, standalone with cx_Freeze, separate units with space, Jun 2021, Matthias Cuntz
v3.7, new themes from rdbende on Linux and Windows, Sep 2021, Matthias Cuntz
v3.8, Better detection of lon/lat and working without them, Oct 2021, Matthias Cuntz
v4.0, pyproject.toml, src layout, and Github actions, Oct 2021, Matthias Cuntz
v4.1, final add_cyclic and has_cyclic as committed to cartopy, Nov 2021, Matthias Cuntz
v4.1.2, ncvue is gui_script entry_point, Jun 2022, Matthias Cuntz


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Preparation time
less than 30 mins
Cooking time
30 mins to 1 hour
Serves
Makes 12 slices
Serve this impressive-looking loaf-shaped pie, studded with quails’ eggs, in slices with salad and pickles. Keep any leftover pie in the fridge to snaffle later.
Half-fill a saucepan with cold water and bring to the boil. Carefully add the quails’ eggs to the boiling water and boil for 2½ minutes. Drain the eggs through a sieve and rinse under running water until completely cold. Leave until the filling is made.
Squeeze the sausages out of their skins and into a large mixing bowl. Add the bacon pieces, pork mince, ginger and mace. Season with plenty of freshly ground black pepper. Mix with your hands until very well combined. Divide the mixture into two portions. Gently peel the shells from the eggs, taking care to keep the eggs as whole as possible. Put in a bowl and toss lightly with the flour until lightly coated. This will stop them being too slippery when they are put in the filling.
Preheat the oven to 200C/180C (fan)/Gas 6. Line a large, flat metal baking tray with baking parchment. If you don’t have a completely flat tray, turn your baking tray over.
For the pastry, put the flour and pepper in a food processor with the butter and 25g/1oz of the lard. Use the pulse setting to blend until the mixture resembles coarse breadcrumbs.
Put the remaining lard, four tablespoons cold water and salt in a small saucepan. Bring to a simmer, then add to the flour mixture with the motor running and blend until the dough comes together. Turn out onto a floured surface and knead lightly to make a smooth, pliable dough
Dust the baking parchment-lined tin with flour. Form the dough into rectangular block, and place on the baking tray. Dust a rolling pin with flour and roll out the pastry until it is around 6mm thick and makes a rectangle of 30 x 28cm/12 x 11in. You’ll need to turn the pastry a few times to roll it to the right size, working fairly quickly, before the pastry has a chance to stiffen.
Place half of the pork mixture lengthways down the middle of the pastry, leaving a 1.5cm/¾in boarder at each end. The pork should be roughly 25cm/10in long and 10cm/4in wide. Top with the floured eggs, standing on their ends and running next to each other all the way down the length of the pastry. Cover with the remaining pork mixture, making sure that all the eggs are completely enclosed, and press down lightly.
Brush one of the long pastry edges lightly with beaten egg and bring both sides to in the middle to encase the filling. (You may need to use the baking parchment to help you lift the pasty.) Press the all edges very firmly together to seal and trim the top neatly with a sharp set of kitchen scissors, leaving 1cm/½in or so for the crest. Crimp the top edge into a wiggly line on top of the pie.
Brush the pastry parcel evenly with beaten egg and bake for 15 minutes. Take out of the oven and brush with more beaten egg. The beaten egg will also help mend any cracks, if you have any. Return to the oven for a further 15 minutes or until the pie is golden-brown and the pastry and filling are completely cooked. Leave to cool.


utils package¶
Submodules¶
utils.config module¶
Config module.
This module contains some constants and global variables used in the project
utils.feature_selection module¶
Module to select the most important features for a model.
-
utils.feature_selection.
select_features_with_shap
(k: int, model, model_type: str, X: pandas.core.frame.DataFrame, y) → List[str][source]¶ Select the most relevant features for the model.
This computes the shap values to see which features are more important. Selects the features whose shap values have greater variance.
- Parameters
k (int) – Number of features to select
model – Model that will be used to predict. Must implement scikit-learn API.
model_type (str) – Type of the model. At the moment only
'tree'
is supported. This includes decision trees, random-forests, and gradient boosting methods based on trees.X (DataFrame) – Features data.
y (array-like) – Target variable data.
- Returns
List with the names of the selected features.
- Return type
List[str]
- Raises
ValueError – If k is not positive. If model_type is not correct.
utils.io module¶
IO module for retrieving the dataset and loadding predictions to the database.
Contains different functions for retrieving tables from the database, retriving the processed data, writting the predictions to the database, and retrieving the dataset for training and prediction.
-
utils.io.
retrieve_predict_dataset
(features: Union[str, List[str]], year: int) → Tuple[pandas.core.frame.DataFrame, numpy.array][source]¶ Retrieves the predict dataset, with the selected features.
Selected features must have the same features the model have been trained with.
- Parameters
features (str, List[str]) – If ‘all’, all the numeric features are returned. It can also be a list with the name of the features to select, or the filename of a json file containing the list of features.
year (int) – Year to predict. This will retrieve the necessary data to predict this year.
- Returns
Predict dataset features. country_codes (np.array): Country codes corresponding to the dataset.
- Return type
X (pd.DataFrame)
-
utils.io.
retrieve_processed_dataset
() → pandas.core.frame.DataFrame[source]¶ Retrieves the processed dataset.
This function reads the data from the database, prepares the data by ordering and removing NaN values, encodes the categorical features into numbers and adds the target variable to predict.
- Returns
The processed dataset.
- Return type
DataFrame
-
utils.io.
retrieve_table
(name: str) → pandas.core.frame.DataFrame[source]¶ Read a table from the database.
- Parameters
name (str) – Name of the table. Possible values are
'Countries'
,'CountryNotes'
,'Footnotes'
,'CountryIndicators'
,'Indicators'
,'IndicatorsNotes'
and'EstimatedGPDGrowth'
- Returns
The specified table.
- Return type
DataFrame
- Raises
ValueError – If name is not a valid table.
-
utils.io.
retrieve_training_dataset
(features: Union[str, List[str]]) → Tuple[pandas.core.frame.DataFrame, pandas.core.frame.DataFrame][source]¶ Retrieves the training dataset, with the selected features.
- Parameters
features (str, List[str]) – If ‘all’, all the numeric features are returned. It can also be a list with the name of the features to select, or the filename of a json file containing the list of features.
- Returns
Training dataset features. y (pd.DataFrame): Target variable to predict.
- Return type
X (pd.DataFrame)
-
utils.io.
write_predictions_to_database
(country_codes: numpy.array, year: int, values: numpy.array)[source]¶ Writes the predictions to the EstimatedGPDGrowth table in the database.
- Parameters
country_codes (array) – Array with the country codes of the predictions.
year (int) – Year of the predictions.
values (array) – Array with the predicted values.
utils.models module¶
Models module
This module contains the predictor class.
-
class
utils.models.
GDPGrowthPredictor
[source]¶ Bases:
object
GPDGrowthPredictor.
Model to make the predictions of the GDPGrowth.
-
get_internal_model
() → xgboost.sklearn.XGBRegressor[source]¶ Returns the internal model, i.e. the gradient boosting regressor.
- Returns
The internal model
- Return type
XGBRegressor
-
static
load
(filename: str) → utils.models.GDPGrowthPredictor[source]¶ Load model from file.
- Parameters
filename (str) – Filename where the model is saved.
- Returns
The model loaded
- Return type
-
predict
(X: pandas.core.frame.DataFrame, *args, **kwargs) → numpy.array[source]¶ Make predictions.
- Parameters
X (DataFrame) – Features data.
- Returns
Predictions
- Return type
np.array
-
utils.preprocessing module¶
Preprocessing module for manipulating the data.
This module contains several functions to process the data retrieved from the database. This functions are useful to build the dataset for training and predicting.
-
utils.preprocessing.
add_target_variable
(df: pandas.core.frame.DataFrame, target_name: str = 'NY.GDP.MKTP.KD.ZG')[source]¶ Add the target variable to predict inplace
- Parameters
df (DataFrame) – The economic dataset
target_name (str, optional) – Name of the indicator to predict (target).
-
utils.preprocessing.
drop_high_corr
(df: pandas.core.frame.DataFrame, max_corr: float) → pandas.core.frame.DataFrame[source]¶ Drop the indicators with correlation value grater than max_corr.
- Parameters
df (DataFrame) – dataframe
max_corr (float) – Max correlation of columns. In the interval [0,1]
- Returns
Dataframe with the highly correlated columns removed
- Return type
DataFrame
- Raises
ValueError – If max_corr is not in [0,1] interval
Examples
>>> drop_high_corr(df=data, max_corr=0.9)
-
utils.preprocessing.
encode_dataset
(df: pandas.core.frame.DataFrame) → pandas.core.frame.DataFrame[source]¶ Add important categorical variables encoded in the dataframe.
Columns encoded are Region and IncomeGroup.
- Parameters
df (DataFrame) – Economic dataset with categorical variables
- Returns
The dataset with the extra encoded columns.
- Return type
DataFrame
-
utils.preprocessing.
fill_na_with_mean_by
(df: pandas.core.frame.DataFrame, by: Union[str, List[str]]) → pandas.core.frame.DataFrame[source]¶ Fills the NaN values in a dataframe with the mean of the groups in the columns specified.
If a given group does not contain any values, the mean can not be computed. So the samples corresponding to this groups will still have Na.
- Parameters
df (DataFrame) – DataFrame
by (str, List[str]) – list of column names (or single column name) used to make the groups for the different means.
- Returns
DataFrame with NaN values filled if possible.
- Return type
DataFrame
Examples
>>> filla_na_with_mean_by(df, ['Column_i','Column_j'])
-
utils.preprocessing.
prepare_data
(df_country_indicators: pandas.core.frame.DataFrame, df_countries: pandas.core.frame.DataFrame) → pandas.core.frame.DataFrame[source]¶ Assemble CountryIndicators and Countries dataframes by fixing NaN values and organizing the data in a workable way.
- Parameters
df_country_indicators (DataFrame) – Dataframe containing the CountryIndicators data.
df_countries (DataFrame) – Dataframe containing the Countries data.
- Returns
Resulting dataset with arranged data.
- Return type
DataFrame
-
utils.preprocessing.
remove_na_cols
(df: pandas.core.frame.DataFrame, na_rate: float, from_year: int) → pandas.core.frame.DataFrame[source]¶ Removes columns with a proportion of na greater than na_rate.
The proportion is only computed with rows that have a year greater or equal to from_year. For this, the column
'Year'
must be on the dataframe.- Parameters
df (DataFrame) – DataFrame
na_rate (float) – Maximum proportion of NaNs in a column. This is only considering values from the given year.
from_year (int) – Minimum year of samples to be considered when computing the na proportion.
- Returns
DataFrame with na columns as specified removed.
- Return type
DataFrame
- Raises
ValueError – If na_rate is not in [0,1] interval.
Examples
>>> remove_na_cols(df, na_rate=0.3, from_year=1990)
-
utils.preprocessing.
substitute_dataset_na
(df: pandas.core.frame.DataFrame) → pandas.core.frame.DataFrame[source]¶ Substitutes the NaN values of the economic dataset with the means of different groups.
- Group are each time more general, in order to fill all NaN. This is done in 3 steps.
Fill NaN with mean of the groups considering
'IncomeGroup'
and'Year'
Fill NaN with mean of the groups consifering
'IncomeGroup'
Fill NaN with mean of the groups consifering
'Year'
The resulting dataset does not have NaN values.
- Parameters
df (DataFrame) – The economic dataset.
- Returns
Dataset with NaN values fixed.
- Return type
DataFrame


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Class Trees for Package AvaCert2
Root class AvaCert2Soap
Root class Certificate
Root class CertificateGetRequest
Root class CertificateImageGetRequest
Root class CertificateJurisdiction
Root class CertificateRequest
Root class CertificateRequestGetRequest
Root class CertificateRequestInitiateRequest
Root class CertificateRequestStage
Root class CertificateRequestStatus
Root class CertificateStatus
Root class CertificateUsage
Root class CommunicationMode
Root class Customer
Root class CustomerSaveRequest
Root class FormatType
Root class RequestType
Root class ReviewStatus
Root class BaseResult
|