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I make the world better by loving, caring, and creating good things.
2022 Sir Roy


|
Inherited from cpyamf.util.BufferedByteStream :
__add__ ,
__len__ ,
__new__ ,
__radd__ ,
append ,
at_eof ,
close ,
consume ,
flush ,
getvalue ,
peek ,
read ,
read_24bit_int ,
read_24bit_uint ,
read_char ,
read_double ,
read_float ,
read_long ,
read_short ,
read_uchar ,
read_ulong ,
read_ushort ,
read_utf8_string ,
remaining ,
seek ,
tell ,
truncate ,
write ,
write_24bit_int ,
write_24bit_uint ,
write_char ,
write_double ,
write_float ,
write_long ,
write_short ,
write_uchar ,
write_ulong ,
write_ushort ,
write_utf8_string
Inherited from DataInput :
readBoolean ,
readByte ,
readDouble ,
readFloat ,
readInt ,
readMultiByte ,
readObject ,
readShort ,
readUTF ,
readUTFBytes ,
readUnsignedByte ,
readUnsignedInt ,
readUnsignedShort
Inherited from DataOutput :
writeBoolean ,
writeByte ,
writeDouble ,
writeFloat ,
writeInt ,
writeMultiByte ,
writeObject ,
writeShort ,
writeUTF ,
writeUTFBytes ,
writeUnsignedByte ,
writeUnsignedInt ,
writeUnsignedShort
Inherited from object :
__delattr__ ,
__getattribute__ ,
__hash__ ,
__reduce__ ,
__reduce_ex__ ,
__repr__ ,
__setattr__
|


CSPICE_SPKPVN returns, for a specified SPK segment and time, the state
(position and velocity) of the segment's target body relative to its
center of motion.
Given:
handle,
descr respectively, file handle assigned to a SPK file and
the descriptor for a segment within the file. Together
they determine the ephemeris data from which the state
of the body is to be computed.
[1,1] = size(handle); int32 = class(handle)
[5,1] = size(descr); double = class(descr)
et a scalar double precision time, in seconds past the
epoch J2000 TDB.
[1,1] = size(et); double = class(et)
the call:
[ref, state, center] = cspice_spkpvn( handle, descr, et)
returns:
ref the ID code of the reference frame relative to which the
state returned by the routine is expressed.
[1,1] = size(ref); int32 = class(ref)
state the array containing the position and velocity, at epoch
'et', for the body covered by the specified segment. 'state'
has six elements: the first three contain the body's
position; the last three contain the body's velocity. These
vectors are expressed into the specified reference frame.
Units are always km and km/sec.
[6,1] = size(state); double = class(state)
center the SPK ID code of the center of motion for the state.
[1,1] = size(center); int32 = class(center)
Any numerical results shown for this example may differ between
platforms as the results depend on the SPICE kernels used as input
and the machine specific arithmetic implementation.
In the following code fragment, an SPK file is searched for
a segment containing ephemeris data for the Jupiter system
barycenter at a particular epoch. Using this segment,
states of the Jupiter system barycenter relative to the
solar system barycenter are evaluated at a sequence of times.
This method of state computation minimizes the number of
segment searches required to obtain requested data, but
it bypasses the SPK subsystem's state chaining mechanism.
Use the meta-kernel shown below to load the required SPICE
kernels.
KPL/MK
File name: standard.tm
This meta-kernel is intended to support operation of SPICE
example programs. The kernels shown here should not be
assumed to contain adequate or correct versions of data
required by SPICE-based user applications.
In order for an application to use this meta-kernel, the
kernels referenced here must be present in the user's
current working directory.
The names and contents of the kernels referenced
by this meta-kernel are as follows:
File name Contents
--------- --------
de421.bsp Planetary ephemeris
pck00010.tpc Planet orientation and
radii
naif0010.tls Leapseconds
\begindata
KERNELS_TO_LOAD = ( 'de421.bsp',
'pck00010.tpc',
'naif0010.tls' )
\begintext
Example:
%
% Local constants
%
META = 'standard.tm';
ND = 2;
NI = 6;
TIMFMT = 'YYYY MON DD HR:MN:SC.######::TDB TDB';
%
% Load meta-kernel.
%
cspice_furnsh( META )
%
% Convert starting time to seconds past J2000 TDB.
%
timstr = '2012 APR 27 00:00:00.000 TDB';
et0 = cspice_str2et(timstr);
%
% Find a loaded segment for the Jupiter barycenter
% that covers `et0'.
%
body = 5;
[handle, descr, segid, found] = cspice_spksfs( body, et0);
if ~found
cspice_kclear
txt = sprintf( 'No SPK segment found for body %d at time %s', ...
body, timstr );
error( txt )
end
%
% Unpack the descriptor of the current segment.
%
[dc, ic] = cspice_dafus( descr, ND, NI );
frname = cspice_frmnam( ic(3) );
fprintf( 'Body = %d\n', ic(1) )
fprintf( 'Center = %d\n', ic(2) )
fprintf( 'Frame = %s\n', frname)
fprintf( 'Data type = %d\n', ic(4) )
fprintf( 'Start ET = %f\n', dc(1) )
fprintf( 'Stop ET = %f\n', dc(2) )
fprintf( 'Segment ID = %s\n\n', segid )
%
% Evaluate states at 10-second steps, starting at `et0'
% and continuing for 20 seconds.
%
for i=1:3
et = et0 + ( 10. * (i-1) );
%
% Convert `et' to a string for display.
%
outstr = cspice_timout( et, TIMFMT );
%
% Attempt to compute a state only if the segment's
% coverage interval contains `et'.
%
if ( et <= dc(2) )
%
% This segment has data at `et'. Evaluate the
% state of the target relative to its center
% of motion.
%
[ref_id, state, center] = cspice_spkpvn( handle, descr, et );
%
% Display the time and state.
%
fprintf( '\n%s\n', outstr )
fprintf( 'Position X (km): %24.17f\n', state(1) )
fprintf( 'Position Y (km): %24.17f\n', state(2) )
fprintf( 'Position Z (km): %24.17f\n', state(3) )
fprintf( 'Velocity X (km): %24.17f\n', state(4) )
fprintf( 'Velocity X (km): %24.17f\n', state(5) )
fprintf( 'Velocity X (km): %24.17f\n', state(6) )
else
cspice_kclear
txt = sprintf( 'No data found for body %d at time %s', ...
body, outstr );
error( txt )
end
end
%
% It's always good form to unload kernels after use,
% particularly in IDL due to data persistence.
%
cspice_kclear
MATLAB outputs:
Body = 5
Center = 0
Frame = J2000
Data type = 2
Start ET = -3169195200.000000
Stop ET =<PHONE_NUMBER>.000000
Segment ID = DE-0421LE-0421
2012 APR 27 00:00:00.000000 TDB
Position X (km): 464528993.98216485977172852
Position Y (km): 541513126.15685200691223145
Position Z (km): 220785135.62462940812110901
Velocity X (km): -10.38685648307654930
Velocity X (km): 7.95324700713742416
Velocity X (km): 3.66185835431306517
2012 APR 27 00:00:10.000000 TDB
Position X (km): 464528890.11359262466430664
Position Y (km): 541513205.68931341171264648
Position Z (km): 220785172.24320945143699646
Velocity X (km): -10.38685796160419272
Velocity X (km): 7.95324528430304944
Velocity X (km): 3.66185765185608103
2012 APR 27 00:00:20.000000 TDB
Position X (km): 464528786.24500560760498047
Position Y (km): 541513285.22175765037536621
Position Z (km): 220785208.86178246140480042
Velocity X (km): -10.38685944013147910
Velocity X (km): 7.95324356146845002
Velocity X (km): 3.66185694939899253
This routine finds the highest-priority segment, in any loaded
SPK file, such that the segment provides data for the specified
body and epoch.
For important details concerning this module's function, please refer to
the CSPICE routine spkpvn_c.
MICE.REQ
SPK.REQ
-Mice Version 1.0.0, 30-OCT-2012, EDW (JPL)
select spk file and segment
|


sort_func = lambda x: sorted(x)
// Use label_name_to_idx for performance.
label_name_to_idx = {label_names[i]: i for i in range(len(label_names))}
img_paths = []
labels = []
img_paths = []
labels = []
for label, label_name in enumerate(label_names):
label_dir = os.path.join(root, label_name)
if not os.path.isdir(label_dir):
continue


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Express 5.0 is still in the alpha release stage, but here is a preview of the changes that will be in the release and how to migrate your Express 4 app to Express 5.
Express 5 is not very different from Express 4: The changes to the API are not as significant as from 3.0 to 4.0. Although the basic API remains the same, there are still breaking changes; in other words an existing Express 4 program might not work if you update it to use Express 5.
To install the latest alpha and to preview Express 5, enter the following command in your application root directory:
You can then run your automated tests to see what fails, and fix problems according to the updates listed below. After addressing test failures, run your app to see what errors occur. You’ll find out right away if the app uses any methods or properties that are not supported.
Here is the list of changes (as of the alpha 2 release ) that will affect you as a user of Express. See the pull request for a list of all the planned features.
Removed methods and properties
Changed
Improvements
If you use any of these methods or properties in your app, it will crash. So, you’ll need to change your app after you update to version 5.
Express 5 no longer supports the app.del()
function. If you
use this function an error is thrown. For registering HTTP DELETE routes,
use the app.delete()
function instead.
Initially del
was used instead of delete
,
because delete
is a reserved keyword in JavaScript. However,
as of ECMAScript 6, delete
and other reserved keywords can
legally be used as property names.
The app.param(fn)
signature was used for modifying the
behavior of the app.param(name, fn)
function. It has been
deprecated since v4.11.0, and Express 5 no longer supports it at all.
The following method names have been pluralized. In Express 4, using the old methods resulted in a deprecation warning. Express 5 no longer supports them at all:
req.acceptsCharset()
is replaced by
req.acceptsCharsets()
.
req.acceptsEncoding()
is replaced by
req.acceptsEncodings()
.
req.acceptsLanguage()
is replaced by
req.acceptsLanguages()
.
A leading colon character (:) in the name for the
app.param(name, fn)
function is a remnant of Express 3, and
for the sake of backwards compatibility, Express 4 supported it with a
deprecation notice. Express 5 will silently ignore it and use the name
parameter without prefixing it with a colon.
This should not affect your code if you follow the Express 4 documentation of app.param, as it makes no mention of the leading colon.
This potentially confusing and dangerous method of retrieving form data
has been removed. You will now need to specifically look for the submitted
parameter name in the req.params
, req.body
, or
req.query
object.
Express 5 no longer supports the signature
res.json(obj, status)
. Instead, set the status and then chain
it to the res.json()
method like this:
res.status(status).json(obj)
.
Express 5 no longer supports the signature
res.jsonp(obj, status)
. Instead, set the status and then
chain it to the res.jsonp()
method like this:
res.status(status).jsonp(obj)
.
Express 5 no longer supports the signature
res.send(obj, status)
. Instead, set the status and then chain
it to the res.send()
method like this:
res.status(status).send(obj)
.
Express 5 no longer supports the signature
res.send(status)
, where
status
is a number. Instead, use the
res.sendStatus(statusCode)
function, which sets the HTTP
response header status code and sends the text version of the code: “Not
Found”, “Internal Server Error”, and so on. If you need to send a number
by using the res.send()
function, quote the number to convert
it to a string, so that Express does not interpret it as an attempt to use
the unsupported old signature.
The res.sendfile()
function has been replaced by a
camel-cased version res.sendFile()
in Express 5.
The app.router
object, which was removed in Express 4, has
made a comeback in Express 5. In the new version, this object is a just a
reference to the base Express router, unlike in Express 3, where an app
had to explicitly load it.
In Express 4, the req.host
function incorrectly stripped off
the port number if it was present. In Express 5 the port number is
maintained.
In Express 4.7 and Express 5 onwards, the query parser option can accept
false
to disable query string parsing when you want to use
your own function for query string parsing logic.
This method now enforces asynchronous behavior for all view engines, avoiding bugs caused by view engines that had a synchronous implementation and that violated the recommended interface.


Helper utility for checking numeric vector arguments. Runs a number of tests on the numeric array x. Tests to see if x has all integer values, all positive values, and so on, depending on the values for intFlag and signFlag. Also tests to see if the size of x matches siz (unless siz==[]). If x is a scalar, x is converted to a array simply by creating a matrix of size siz with x in each entry. This is why the function returns x. siz=M is equivalent to siz=[M M]. If x does not satisfy some criteria, an error message is returned in er. If x satisfied all the criteria er=''. Note that error('') has no effect, so can use: [ x, er ] = checkNumArgs( x, ... ); error(er); which will throw an error only if something was wrong with x. USAGE [ x, er ] = checkNumArgs( x, siz, intFlag, signFlag ) INPUTS x - numeric array siz - []: does not test size of x - [if not []]: intended size for x intFlag - -1: no need for integer x 0: error if non integer x 1: error if non odd integers 2: error if non even integers signFlag - -2: entires of x must be strictly negative -1: entires of x must be negative 0: no contstraints on sign of entries in x 1: entires of x must be positive 2: entires of x must be strictly positive OUTPUTS x - if x was a scalar it may have been replicated into a matrix er - contains error msg if anything was wrong with x EXAMPLE a=1; [a, er]=checkNumArgs( a, [1 3], 2, 0 ); a, error(er) See also NARGCHK Piotr's Computer Vision Matlab Toolbox Version 2.0 Copyright 2014 Piotr Dollar. [pdollar-at-gmail.com] Licensed under the Simplified BSD License [see external/bsd.txt]


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Alright Today at 9:37 PM
...We have a stake holder vote ...what exactly was the problem with this?
blackjok3rToday at 9:38 PM
ask genie
ComputerGenie ツLast Thursday at 9:21 PM
...No, they aren't "forced" to, they are just "forced" to explain next election to people why they should keep a job they choose not to do to the best of their ability
AlrightLast Thursday at 9:23 PM
...
we don't have elections
What's "wrong" with it is that you said you didn't want it
(edited)


Serenity Now!
Just Handle that Complex Form with NgRx
Forms are hard
NgRx
Container - Presentation
NgRx Entity
Relational Data
Nested Data
Nested Data
Viewing Complex Data
First thoughts...
This will be easy... enumerate, select, calculate...
2nd Pass
Orders View Model
Serentiy
Form Basics
Product Form
Container - Init
Container - Events
Presentation Component
Presentation - Build Form
Presentation - FormGroup Values
Form Basics
Serentiy
Complex Forms
Order Form
So now what?
LineItems Create FormGroup
LineItems Build FormGroup
Foundation Concept
(cloning is a good idea)
Serentiy
Code
Summary
Create models to combine entities
Container/Presentation Pattern
Understand NgRx Forms Basics
NgRx makes complex forms easy
BrieBug - What We do
Architecture Reviews
Customized Training
Angular Consulting
Staff Augmentation
http://confsnap.com/#/event/ng-conf-18/131
Jesse Sanders
@JesseS_BrieBug
<EMAIL_ADDRESS>References
https://github.com/ngrx/platform
Questions?


| Name | Description |
|---|---|
| Icons | |
| Types | Package with type definitions |
| Settings | Package with models settings |
| Functions | Package with functions |
| Utilities | Package with utilities |
| BoundaryConditions | Package with boundary conditions |
| Interfaces | Package with interfaces |
| Media | Package with medium models |
| Components | |
| Appliances | |
| Controllers | |
| InternalTests | |
| CaseStudies |


Blackjack is the American member of a global family of banking games known as Twenty-One, whose relatives include the Brithish games of Pontoon and the European game. It is a comparing card game between one or more playes and a dealer, where each palyer in turn competes against the dealer. Players do not compete agains each other. It is player with one or more deck of 52, and is the most widely played casino banking game in the world.
Players are each dealt two cards, individually facing up or down depending on the casino and the table. In the U.S., the dealer is also dealt two cards, normally one up (exposed) and one down (hidden). In most other countries, the dealer only receives one card face up. The value of cards two through ten is their pip value (2 through 10). Face cards (Jack, Queen, and King) are all worth ten. Aces can be worth one or eleven. A hand's value is the sum of the card values. Players are allowed to draw additional cards to improve their hands. A hand with an ace valued as 11 is called "soft", meaning that the hand will be guaranteed to not score more than 21 by taking an additional card. The value of the ace will become one to prevent the hand from exceeding 21. Otherwise, the hand is called "hard". Once all the players have completed their hands, it is the dealer's turn. The dealer hand will not be completed if all players have either exceeded the total of 21 or received blackjacks. The dealer then reveals the hidden card and must draw cards, one by one, until the cards total up to 17 points. At 17 points or higher the dealer must stop. (At most tables the dealer also hits on a "soft" 17, i.e. a hand containing an ace and one or more other cards totaling six.) Players bet on the basis that they will individually have better hands than the dealer. The better hand is the hand where the sum of the card values is closer to 21 without exceeding 21. The detailed outcome of the hand follows:


plants Cough plant medicinal Pakistan Asthma cough asthma Cough, Leaves Increased used leaves respiratory effect Asteraceae (), Solanaceae Med species studies Asthma, Khan bronchitis use activity cold Fruit Ethnobotanical Res leaves, Ethnopharmacol traditional Pak diseases Ahmad Moraceae Respiratory parts problems ./j.jep... Sci disorders herbal knowledge different District Leaves, cell district uses Bronchitis Cold Flu IUCN Mahmood Seeds {border-style Cold, Root Viola Violaceae areas seeds stem Fabaceae Linn. Pharm Poaceae Roots families induced px;} sativa #ffffff;} Bot Hussain Amaranthaceae Fruits Red Threatened chest concern flowers status Apiaceae List Ranunculaceae Rosaceae Species Stem, districts extract fruits pharmacological treatment ./--- Asclepiadaceae Cough/ Flower, Fruit, Lamiaceae Persistent Rare conservation flower flu stabilizing survey Biol Ethnobiol Ethnomed Euphorbiaceae Int Liliaceae Plants Whooping cough, e.TA. family fruit important mast roots study various ./S-()- Artemisia Asian Bronchial Bronchitis, Ephedra Fig. Indigenous Jammu Malvaceae Mast Polygonaceae Punjab TID bark botanical effects ethno ethnobotanical flora indica model root seeds, Azad Bark Carum Ethnomedicinal Evaluation Ficus Flower Medicinal Table Vulnerable common conditions evaluation indigenous infection local products reported stem, Acanthaceae Aconitum Brassicaceae Bronchodilator Shah Traditional bronchodilator commonly ethno-botanical high histamine mentioned officinalis people plants, resources tract treat value whooping Adhatoda Adnan Ali Kashmir Punjab, Qureshi Stable Stem activities anti-asthmatic asthmatic data disorders. followed fruit, guinea list literature preparation review root, valley, wild Aerial Ahmed Anti-asthmatic Boraginaceae Ethnobot Flowers Gilani Kumar Labiateae Leafl Malik Mimosaceae Pac Pakistan. Papilionaceae Pharmacol Plant Roots, Solanum Sultana Trop Zafar Zizyphus action bronchial bronchitis, colds, inflammation mice px; region times/day {font-family Acacia Achyranthes Biomed Boskabady Ephedraceae Euphorbia Iran Kashmir, Onosma Patel Pharmacological Punicaceae Rashid Seeds, available collection day font-size future herbs million number pigs research sativum trade useful vasica year Adiantum Alstonia Bark, Bronchitis/ Calotropis Capparidaceae Conservation Gilgit Khan, Lung Mentha Opuntia Papaver Patil Plantago Rhamnaceae Salvia Scrophulariaceae Shinwari Ullah University, airway anti-inflammatory aspera breathing bronchospasm cells communis double; drugs flu, gerardiana health herb hyperreactivity increase medicine membrane natural odorata population problem sachet threatened vulgare vulgaris (). Adiantaceae Agric Allium Apocynaceae Asthma/breathing Berberidaceae Bunium Capparaceae Capparis Chenopodiaceae Chest Chitral, Coughs Coughs, Datura Decreasing Dried Effect Flue Folk Gilgit, Gupta Herb Herbal Hyoscyamus Inula Lee Life Mali Mangifera Mimosa Murad Myrtaceae Nigella Ocimum Pistacia Plantaginaceae Portulaca Rev Root, Royle Shrub Studies Tamarix Tariq Taur Thymus Verbenaceae Wall Weed Zygophyllaceae acetylcholine active alba antiallergic arvensis basilicum benefits blockade border-color border-width bracteatum care categories chains channels cold, communities copticum countries current diversity dual experimental extracts flowers, flue importance increased information investigated isolated life like lung mode national oil persicum plants. preparations present published rats receptors regions rich shown shrubs solid; tracheal {font-style {font-weight (%) Abies Abrus Afr Altern Amaranthus Anti-allergic Antiasthmatic Antihistaminic Arisaema Arshad Asthma/ Azizullah BID Bano Begum Berberis Bergenia Bistorta Boerhavia Bronchodilatory Cichorium College Complement Convolvulaceae Dera Expectorant/ Family Flowers, Flu, Gentianaceae Glycyrrhiza Hamayun Haripur, India Iqbal Karachi Leguminosae Lythraceae Malakand, Morus National Nyctaginaceae Oryza Pakistani Papaveraceae Pneumonia Research Rheum Ricinus Rumex Scientific Shangla, Sharma Sher Shoot Singh Swat, Tareen Taxus Tree Trifolium Waheed Withania [], allergic analysis anti-allergic anti-cholinergic anti-inflammatory, anti-tussive antiasthmatic antihistaminic aphylla assessment asthma, availability based biflora bold carvi chemical community courier; decoction development disorder disorders? distribution district, drug easy economical em; endangered, essential evaluated flu/ flu/BID folk growth including increasing infections integerrima jujuba lanceolata latex major medicine. medicines medicines. muscarinic needs new niger oleracea phytochemical possible potential precatorius procumbens properties pt;} pudica range, reason recommendations related release remedies resources, roots, rural save scholaris scientific scoparia seed, species, spinosa surveys tehsil time total treated treating trees using valuable years


Dozens rescued after Philippine ferry capsizes
MANILA: Philippine authorities rescued dozens of people on Thursday (Nov 7) after a ferry sank in rough seas, but search teams were still working to confirm all aboard were accounted for, the coast guard said.
Rescuers plucked 59 people from waters off the central island of Cebu, while another three swam to shore after the vessel took on water and capsized.
The manifest showed 60 crew and passengers aboard, the coast guard said, however it is not clear if the list was complete.
Manifests in the Philippines are often not a full accounting because passengers may stow away or captains can exceed the official capacity of their vessel.
"Rescue operations are ongoing. We cannot stop until we are satisfied that everyone is safe and has been accounted for," coast guard spokesman Lieutenant Michael Encina told AFP.
"The boat has sunk. We haven't been able to find it," he added.
The vessel, Siargao Princess, was plying a route near Cebu when its crew radioed for help, saying the boat was in trouble.
READ: Three dead, more than 240 rescued after Philippine ferry blaze
The Philippines, an archipelago where millions rely on rickety ferries for cheap transport between islands, has regular boat accidents.


I am a data scientist with a background in computer science, statistics, bioinformatics, and neuroscience. I have a record of working with large, diverse datasets to draw meaningful and relevant insights. My career has spanned independent study projects to collaborative, multi-institutional research endeavors.
In my spare time I train in martial arts...


ActiveRecord specific Rake tasks. Namely, nice little extras such as:
- db:mysql:stage
- db:refresh
Methods
Constants
| APP_ENV | = | defined?(ENV['RAILS_ENV']) ? ENV['RAILS_ENV'] : ENV['MERB_ENV'] |
| stores local copy of the application environment (‘production’, ‘test’, etc) so that appropriate values in config/database.yml are used |
Public Instance methods
stage_database(db_names, admin_password, db_user_name, db_password)
[ source ]
Performs MySQL database set-up based on the username and password provided. Also updates Rails config/database.yml file with database username and password


The Cold Spring Harbor School Store is proudly managed and run by the FBLA - Future Business Leaders of America - club. Our Store is located in between the Senior Commons and Cafeteria A. Come look at our products in person! They are in the glass display
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[gecode-users] Weak points in Gecode
Christian Schulte
cschulte at kth.se
Wed Feb 4 16:18:57 CET 2009
Hi,
Well, well, I do spare you the details of the obvious answer ;-)
I though a little and have to say that I would have expected linear
arithmetic to be weak, where you really need reasoning about individual
values and not just bounds as Gecode does. But you basically tried that
already with Knapsack.  Table
constraints might work depending on the application.
So, honestly, no idea.
Sorry
Christian
--
Christian Schulte, www.ict.kth.se/~cschulte/
-----Original Message-----
From: users-bounces at gecode.org [mailto:users-bounces at gecode.org] On Behalf
Of Morten Boysen
Sent: Tuesday, February 03, 2009 10:14 PM
To: users at gecode.org
Subject: [gecode-users] Weak points in Gecode
Hi,
I have a somewhat odd request: I am looking for problem types that will
make Gecode perform poorly. First I will explain what we are trying to do:
Me and my thesis partner are writing a thesis about configuration, where
we are trying to do a hybrid between a configurator based on BDDs and a
solver. The reason for this is that certain types of constraints will
make a BDD perform very badly. An example of this is an Alldiff
constraint, which makes a BDD take up exponentially space. However,
other types of constraints are very well suited for BDDs and outperform
any search-based configurator, if the BDD can be build. Therefore, our
idea is to partition a problem, so the solver handles the Alldiff
constraint, whereas all other constraints are compiled into a BDD. This
BDD is then plugged into Gecode using a propagator. What we were hoping
for was to get the best of both worlds: The efficient Alldiff propagator
in Gecode, and the full inference of a BDD. However, out hybrid
configurator is having a hard time beating a purely search based
configurator, where all constraints are handled directly by Gecode.
What we therefore need, are some type of constraints that are well
suited for a BDD, but make Gecode behave in a pathological way. We have
tried knapsack constraints, binomial coefficients and we are now trying
with table constraints (also known as ad-hoc constraints). In all cases,
a pure Gecode configurator without a BDD propagator outperforms the
hybrid using a BDD (which by the way, shows how efficient Gecode is!).
Do you have any idea of any constraints that will make Gecode perform
poorly (e.g. by making it very hard for Gecode to do propagation, thus
resulting in a large search space).
Kind regards
Morten Boysen
_______________________________________________
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users at gecode.org
https://www.gecode.org/mailman/listinfo/gecode-users
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uSDLC is an open source project. It is build on BDD principles, providing more self-documentation than most open source systems.
The home page provides links to the forum and GitHub issue register.
If you need faster response, training, consulting or customisation, we can also provide professional support, remote or on-site. Please contact paul.marrington@usdlc.net.


{{ _('Malaria Epidemiological Surveillance Report') }} {{_(report.data.project_region|e)}} · {{ report.data.start_date|datetime_from_json|datetime('dd MMMM YY') }} - {{ report.data.end_date|datetime_from_json|datetime('dd MMMM YY') }}
A program of public health surveillance is being implemented in %(clinic_num)s outpatient clinics in %(project_region)s, in partnership with WHO and Ministry of Health. The project introduces case-based, integrated disease surveillance of priority diseases, conditions and events.
The clinician uses the system within the consultation, which introduces clinical-decision support as well as best practice prescribing guidance and real-time reporting of information. Information is made available within one hour via an online framework with automated generation of SMS and email alerts and support for mapping and reporting.
', clinic_num=report.data.global_clinic_num, project_region=_(report.data.project_region|e)) }}


--- layout: post status: publish published: true title: Clemens SOA Slide Deck author: display_name: Tomas Restrepo login: tomasr email<EMAIL_ADDRESS>url: http://winterdom.com/ author_login: tomasr author_email<EMAIL_ADDRESS>author_url: http://winterdom.com/ wordpress_id: 755 wordpress_url: http://winterdom.com/2003/03/clemenssoaslidedeck date: '2003-03-29 09:13:35 +0000' date_gmt: '2003-03-29 09:13:35 +0000' categories: - Web Services tags: [] comments: [] ---
Clemens mentioned his slides on Service Oriented Architectures from the EMEA Architecture Tour. Just looked at them, and boy, what a nice slide deck! Way to go, Clemens! Definitely something worth looking into!


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Meet one developer as he shares his exploration through the
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Meet another in a blog interview. Watch more in video replays as they participate in
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HPE Ezmeral Data Fabric
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Ocean [ah68], ocean, in Crystal Sea
Last updated Turn #103
Ocean [ah68], ocean, in Crystal Sea
------------------------------------------------------------------------
24: The Savvy Aardvark [ha5r], ship, 2 hulls, 1 rowing port, 6 sails,
24: 33% damaged, arrived from Endless Plains [ai68], owner:
24: Phantasm [n4b], Imperial Empire, duke, with eight sailors
25: The Savvy Aardvark [ha5r], ship, 2 hulls, 1 rowing port, 6 sails,
25: 33% damaged, departed for Endless Plains [ah69].
Routes leaving Ocean:
North, to Ocean [ag68], 6 days
East, plain, to Endless Plains [ah69], Imperia, 2 days
South, plain, to Endless Plains [ai68], Imperia, 2 days
West, to Ocean [ah67], 6 days


{% extends "admin/delete_confirmation.html" %} {% load i18n static %} {% load url from future %} {% block extrastyle %} {{ block.super }} {%endblock%} {% block breadcrumbs %}
{% endblock %} {% block content %}Are you sure you want to delete the {{model_label}} {{obj.title}} permanently?
{%if not obj.is_leaf%} {%with obj.get_descendants as descendants%}Warning! This {{model_label}} contains {{descendants|length}} other sub-{%ifequal descendants|length 1%}{{model_label}}{%else%}{{model_label_plural}}{%endifequal%}:
If you delete the {{model_label}} "{{obj.title}}", {{descendants|length|pluralize:"this,these"}} {%ifequal descendants|length 1%}{{model_label}}{%else%}{{model_label_plural}}{%endifequal%} will be deleted as well!


Library of toric varieties#
This module provides a simple way to construct often-used toric
varieties. Please see the help for the individual methods of
toric_varieties
for a more detailed description of which varieties
can be constructed.
AUTHORS:
Volker Braun (2010-07-02): initial version
EXAMPLES:
sage: toric_varieties.dP6()
2-d CPR-Fano toric variety covered by 6 affine patches
You can assign the homogeneous coordinates to Sage variables either
with
inject_variables()
or immediately during assignment like this:
sage: P2.<x,y,z> = toric_varieties.P2()
sage: x^2 + y^2 + z^2
x^2 + y^2 + z^2
sage: P2.coordinate_ring()
Multivariate Polynomial Ring in x, y, z over Rational Field
- class sage.schemes.toric.library.ToricVarietyFactory#
Bases:
SageObject
The methods of this class construct toric varieties.
Warning
You need not create instances of this class. Use the already-provided object
toric_varieties
instead.- A(n, names='z+', base_ring=Rational Field)#
Construct the
n
-dimensional affine space.INPUT:
n
– positive integer. The dimension of the affine space.names
– string. Names for the homogeneous coordinates. Seenormalize_names()
for acceptable formats.base_ring
– a ring (default: \(\QQ\)). The base ring for the toric variety.
OUTPUT: A
toric variety
.EXAMPLES:
sage: A3 = toric_varieties.A(3); A3 3-d affine toric variety sage: A3.fan().rays() N(1, 0, 0), N(0, 1, 0), N(0, 0, 1) in 3-d lattice N sage: A3.gens() (z0, z1, z2)
- A1(names='z', base_ring=Rational Field)#
Construct the affine line \(\mathbb{A}^1\) as a toric variety.
INPUT:
names
– string. Names for the homogeneous coordinates. Seenormalize_names()
for acceptable formats.base_ring
– a ring (default: \(\QQ\)). The base ring for the toric variety.
OUTPUT: A
toric variety
.EXAMPLES:
sage: A1 = toric_varieties.A1(); A1 1-d affine toric variety sage: A1.fan().rays() N(1) in 1-d lattice N sage: A1.gens() (z,)
- A2(names='x y', base_ring=Rational Field)#
Construct the affine plane \(\mathbb{A}^2\) as a toric variety.
INPUT:
names
– string. Names for the homogeneous coordinates. Seenormalize_names()
for acceptable formats.base_ring
– a ring (default: \(\QQ\)). The base ring for the toric variety.
OUTPUT: A
toric variety
.EXAMPLES:
sage: A2 = toric_varieties.A2(); A2 2-d affine toric variety sage: A2.fan().rays() N(1, 0), N(0, 1) in 2-d lattice N sage: A2.gens() (x, y)
- A2_Z2(names='x y', base_ring=Rational Field)#
Construct the orbifold \(\mathbb{A}^2 / \ZZ_2\) as a toric variety.
INPUT:
names
– string. Names for the homogeneous coordinates. Seenormalize_names()
for acceptable formats.base_ring
– a ring (default: \(\QQ\)). The base ring for the toric variety.
OUTPUT: A
toric variety
.EXAMPLES:
sage: A2_Z2 = toric_varieties.A2_Z2(); A2_Z2 2-d affine toric variety sage: A2_Z2.fan().rays() N(1, 0), N(1, 2) in 2-d lattice N sage: A2_Z2.gens() (x, y)
- BCdlOG(names='v1 v2 c1 c2 v4 v5 b e1 e2 e3 f g v6', base_ring=Rational Field)#
Construct the 5-dimensional toric variety studied in [BCdlOG2000], [HLY2002]
INPUT:
names
– string. Names for the homogeneous coordinates. Seenormalize_names()
for acceptable formats.base_ring
– a ring (default: \(\QQ\)). The base ring for the toric variety.
OUTPUT: A
CPR-Fano toric variety
.EXAMPLES:
sage: X = toric_varieties.BCdlOG(); X 5-d CPR-Fano toric variety covered by 54 affine patches sage: X.fan().rays() N(-1, 0, 0, 2, 3), N( 0, -1, 0, 2, 3), N( 0, 0, -1, 2, 3), N( 0, 0, -1, 1, 2), N( 0, 0, 0, -1, 0), N( 0, 0, 0, 0, -1), N( 0, 0, 0, 2, 3), N( 0, 0, 1, 2, 3), N( 0, 0, 2, 2, 3), N( 0, 0, 1, 1, 1), N( 0, 1, 2, 2, 3), N( 0, 1, 3, 2, 3), N( 1, 0, 4, 2, 3) in 5-d lattice N sage: X.gens() (v1, v2, c1, c2, v4, v5, b, e1, e2, e3, f, g, v6)
- BCdlOG_base(names='d4 d3 r2 r1 d2 u d1', base_ring=Rational Field)#
Construct the base of the \(\mathbb{P}^2(1,2,3)\) fibration
BCdlOG()
.INPUT:
names
– string. Names for the homogeneous coordinates. Seenormalize_names()
for acceptable formats.base_ring
– a ring (default: \(\QQ\)). The base ring for the toric variety.
OUTPUT: A
toric variety
.EXAMPLES:
sage: base = toric_varieties.BCdlOG_base(); base 3-d toric variety covered by 10 affine patches sage: base.fan().rays() N(-1, 0, 0), N( 0, -1, 0), N( 0, 0, -1), N( 0, 0, 1), N( 0, 1, 2), N( 0, 1, 3), N( 1, 0, 4) in 3-d lattice N sage: base.gens() (d4, d3, r2, r1, d2, u, d1)
- Conifold(names='u x y v', base_ring=Rational Field)#
Construct the conifold as a toric variety.
INPUT:
names
– string. Names for the homogeneous coordinates. Seenormalize_names()
for acceptable formats.base_ring
– a ring (default: \(\QQ\)). The base ring for the toric variety.
OUTPUT: A
toric variety
.EXAMPLES:
sage: Conifold = toric_varieties.Conifold(); Conifold 3-d affine toric variety sage: Conifold.fan().rays() N(0, 0, 1), N(0, 1, 1), N(1, 0, 1), N(1, 1, 1) in 3-d lattice N sage: Conifold.gens() (u, x, y, v)
- Cube_deformation(k, names=None, base_ring=Rational Field)#
Construct, for each \(k\in\ZZ_{\geq 0}\), a toric variety with \(\ZZ_k\)-torsion in the Chow group.
The fans of this sequence of toric varieties all equal the face fan of a unit cube topologically, but the
(1,1,1)
-vertex is moved to(1,1,2k+1)
. This example was studied in [FS1994].INPUT:
k
– integer. The casek=0
is the same asCube_face_fan()
.names
– string. Names for the homogeneous coordinates. Seenormalize_names()
for acceptable formats.base_ring
– a ring (default: \(\QQ\)). The base ring for the toric variety.
OUTPUT:
A
toric variety
\(X_k\). Its Chow group is \(A_1(X_k)=\ZZ_k\).EXAMPLES:
sage: X_2 = toric_varieties.Cube_deformation(2); X_2 3-d toric variety covered by 6 affine patches sage: X_2.fan().rays() N( 1, 1, 5), N( 1, -1, 1), N(-1, 1, 1), N(-1, -1, 1), N(-1, -1, -1), N(-1, 1, -1), N( 1, -1, -1), N( 1, 1, -1) in 3-d lattice N sage: X_2.gens() (z0, z1, z2, z3, z4, z5, z6, z7)
- Cube_face_fan(names='z+', base_ring=Rational Field)#
Construct the toric variety given by the face fan of the 3-dimensional unit lattice cube.
This variety has 6 conifold singularities but the fan is still polyhedral.
INPUT:
names
– string. Names for the homogeneous coordinates. Seenormalize_names()
for acceptable formats.base_ring
– a ring (default: \(\QQ\)). The base ring for the toric variety.
OUTPUT: A
CPR-Fano toric variety
.EXAMPLES:
sage: Cube_face_fan = toric_varieties.Cube_face_fan(); Cube_face_fan 3-d CPR-Fano toric variety covered by 6 affine patches sage: Cube_face_fan.fan().rays() N( 1, 1, 1), N( 1, -1, 1), N(-1, 1, 1), N(-1, -1, 1), N(-1, -1, -1), N(-1, 1, -1), N( 1, -1, -1), N( 1, 1, -1) in 3-d lattice N sage: Cube_face_fan.gens() (z0, z1, z2, z3, z4, z5, z6, z7)
- Cube_nonpolyhedral(names='z+', base_ring=Rational Field)#
Construct the toric variety defined by a fan that is not the face fan of a polyhedron.
This toric variety is defined by a fan that is topologically like the face fan of a 3-dimensional cube, but with a different N-lattice structure.
INPUT:
names
– string. Names for the homogeneous coordinates. Seenormalize_names()
for acceptable formats.base_ring
– a ring (default: \(\QQ\)). The base ring for the toric variety.
OUTPUT: A
toric variety
.Note
This is an example of an non-polyhedral fan.
Its Chow group has torsion: \(A_2(X)=\ZZ^5 \oplus \ZZ_2\)
EXAMPLES:
sage: Cube_nonpolyhedral = toric_varieties.Cube_nonpolyhedral() sage: Cube_nonpolyhedral 3-d toric variety covered by 6 affine patches sage: Cube_nonpolyhedral.fan().rays() N( 1, 2, 3), N( 1, -1, 1), N(-1, 1, 1), N(-1, -1, 1), N(-1, -1, -1), N(-1, 1, -1), N( 1, -1, -1), N( 1, 1, -1) in 3-d lattice N sage: Cube_nonpolyhedral.gens() (z0, z1, z2, z3, z4, z5, z6, z7)
- Cube_sublattice(names='z+', base_ring=Rational Field)#
Construct the toric variety defined by a face fan over a 3-dimensional cube, but not the unit cube in the N-lattice. See p. 65 of [Ful1993].
Its Chow group is \(A_2(X)=\ZZ^5\), which distinguishes it from the face fan of the unit cube.
INPUT:
names
– string. Names for the homogeneous coordinates. Seenormalize_names()
for acceptable formats.base_ring
– a ring (default: \(\QQ\)). The base ring for the toric variety.
OUTPUT: A
CPR-Fano toric variety
.EXAMPLES:
sage: Cube_sublattice = toric_varieties.Cube_sublattice(); Cube_sublattice 3-d CPR-Fano toric variety covered by 6 affine patches sage: Cube_sublattice.fan().rays() N( 1, 0, 0), N( 0, 1, 0), N( 0, 0, 1), N(-1, 1, 1), N(-1, 0, 0), N( 0, -1, 0), N( 0, 0, -1), N( 1, -1, -1) in 3-d lattice N sage: Cube_sublattice.gens() (z0, z1, z2, z3, z4, z5, z6, z7)
- P(n, names='z+', base_ring=Rational Field)#
Construct the
n
-dimensional projective space \(\mathbb{P}^n\).INPUT:
n
– positive integer. The dimension of the projective space.names
– string. Names for the homogeneous coordinates. Seenormalize_names()
for acceptable formats.base_ring
– a ring (default: \(\QQ\)). The base ring for the toric variety.
OUTPUT: A
CPR-Fano toric variety
.EXAMPLES:
sage: P3 = toric_varieties.P(3); P3 3-d CPR-Fano toric variety covered by 4 affine patches sage: P3.fan().rays() N( 1, 0, 0), N( 0, 1, 0), N( 0, 0, 1), N(-1, -1, -1) in 3-d lattice N sage: P3.gens() (z0, z1, z2, z3)
- P1(names='s t', base_ring=Rational Field)#
Construct the projective line \(\mathbb{P}^1\) as a toric variety.
INPUT:
names
– string. Names for the homogeneous coordinates. Seenormalize_names()
for acceptable formats.base_ring
– a ring (default: \(\QQ\)). The base ring for the toric variety.
OUTPUT: A
CPR-Fano toric variety
.EXAMPLES:
sage: P1 = toric_varieties.P1(); P1 1-d CPR-Fano toric variety covered by 2 affine patches sage: P1.fan().rays() N( 1), N(-1) in 1-d lattice N sage: P1.gens() (s, t)
- P1xA1(names='s t z', base_ring=Rational Field)#
Construct the Cartesian product \(\mathbb{P}^1 \times \mathbb{A}^1\) as a toric variety.
INPUT:
names
– string. Names for the homogeneous coordinates. Seenormalize_names()
for acceptable formats.base_ring
– a ring (default: \(\QQ\)). The base ring for the toric variety.
OUTPUT: A
toric variety
.EXAMPLES:
sage: P1xA1 = toric_varieties.P1xA1(); P1xA1 2-d toric variety covered by 2 affine patches sage: P1xA1.fan().rays() N( 1, 0), N(-1, 0), N( 0, 1) in 2-d lattice N sage: P1xA1.gens() (s, t, z)
- P1xP1(names='s t x y', base_ring=Rational Field)#
Construct the del Pezzo surface \(\mathbb{P}^1 \times \mathbb{P}^1\) as a toric variety.
INPUT:
names
– string. Names for the homogeneous coordinates. Seenormalize_names()
for acceptable formats.base_ring
– a ring (default: \(\QQ\)). The base ring for the toric variety.
OUTPUT: A
CPR-Fano toric variety
.EXAMPLES:
sage: P1xP1 = toric_varieties.P1xP1(); P1xP1 2-d CPR-Fano toric variety covered by 4 affine patches sage: P1xP1.fan().rays() N( 1, 0), N(-1, 0), N( 0, 1), N( 0, -1) in 2-d lattice N sage: P1xP1.gens() (s, t, x, y)
- P1xP1_Z2(names='s t x y', base_ring=Rational Field)#
Construct the toric \(\ZZ_2\)-orbifold of the del Pezzo surface \(\mathbb{P}^1 \times \mathbb{P}^1\) as a toric variety.
INPUT:
names
– string. Names for the homogeneous coordinates. Seenormalize_names()
for acceptable formats.base_ring
– a ring (default: \(\QQ\)). The base ring for the toric variety.
OUTPUT: A
CPR-Fano toric variety
.EXAMPLES:
sage: P1xP1_Z2 = toric_varieties.P1xP1_Z2(); P1xP1_Z2 2-d CPR-Fano toric variety covered by 4 affine patches sage: P1xP1_Z2.fan().rays() N( 1, 1), N(-1, -1), N(-1, 1), N( 1, -1) in 2-d lattice N sage: P1xP1_Z2.gens() (s, t, x, y) sage: P1xP1_Z2.Chow_group().degree(1) C2 x Z^2
- P2(names='x y z', base_ring=Rational Field)#
Construct the projective plane \(\mathbb{P}^2\) as a toric variety.
INPUT:
names
– string. Names for the homogeneous coordinates. Seenormalize_names()
for acceptable formats.base_ring
– a ring (default: \(\QQ\)). The base ring for the toric variety.
OUTPUT: A
CPR-Fano toric variety
.EXAMPLES:
sage: P2 = toric_varieties.P2(); P2 2-d CPR-Fano toric variety covered by 3 affine patches sage: P2.fan().rays() N( 1, 0), N( 0, 1), N(-1, -1) in 2-d lattice N sage: P2.gens() (x, y, z)
- P2_112(names='z+', base_ring=Rational Field)#
Construct the weighted projective space \(\mathbb{P}^2(1,1,2)\).
INPUT:
names
– string. Names for the homogeneous coordinates. Seenormalize_names()
for acceptable formats.base_ring
– a ring (default: \(\QQ\)). The base ring for the toric variety.
OUTPUT: A
CPR-Fano toric variety
.EXAMPLES:
sage: P2_112 = toric_varieties.P2_112(); P2_112 2-d CPR-Fano toric variety covered by 3 affine patches sage: P2_112.fan().rays() N( 1, 0), N( 0, 1), N(-1, -2) in 2-d lattice N sage: P2_112.gens() (z0, z1, z2)
- P2_123(names='z+', base_ring=Rational Field)#
Construct the weighted projective space \(\mathbb{P}^2(1,2,3)\).
INPUT:
names
– string. Names for the homogeneous coordinates. Seenormalize_names()
for acceptable formats.base_ring
– a ring (default: \(\QQ\)). The base ring for the toric variety.
OUTPUT: A
CPR-Fano toric variety
.EXAMPLES:
sage: P2_123 = toric_varieties.P2_123(); P2_123 2-d CPR-Fano toric variety covered by 3 affine patches sage: P2_123.fan().rays() N( 1, 0), N( 0, 1), N(-2, -3) in 2-d lattice N sage: P2_123.gens() (z0, z1, z2)
- P4_11133(names='z+', base_ring=Rational Field)#
Construct the weighted projective space \(\mathbb{P}^4(1,1,1,3,3)\).
INPUT:
names
– string. Names for the homogeneous coordinates. Seenormalize_names()
for acceptable formats.base_ring
– a ring (default: \(\QQ\)). The base ring for the toric variety.
OUTPUT: A
CPR-Fano toric variety
.EXAMPLES:
sage: P4_11133 = toric_varieties.P4_11133(); P4_11133 4-d CPR-Fano toric variety covered by 5 affine patches sage: P4_11133.fan().rays() N( 1, 0, 0, 0), N( 0, 1, 0, 0), N( 0, 0, 1, 0), N( 0, 0, 0, 1), N(-3, -3, -1, -1) in 4-d lattice N sage: P4_11133.gens() (z0, z1, z2, z3, z4)
- P4_11133_resolved(names='z+', base_ring=Rational Field)#
Construct the weighted projective space \(\mathbb{P}^4(1,1,1,3,3)\).
INPUT:
names
– string. Names for the homogeneous coordinates. Seenormalize_names()
for acceptable formats.base_ring
– a ring (default: \(\QQ\)). The base ring for the toric variety.
OUTPUT: A
CPR-Fano toric variety
.EXAMPLES:
sage: P4_11133_resolved = toric_varieties.P4_11133_resolved() sage: P4_11133_resolved 4-d CPR-Fano toric variety covered by 9 affine patches sage: P4_11133_resolved.fan().rays() N( 1, 0, 0, 0), N( 0, 1, 0, 0), N( 0, 0, 1, 0), N( 0, 0, 0, 1), N(-3, -3, -1, -1), N(-1, -1, 0, 0) in 4-d lattice N sage: P4_11133_resolved.gens() (z0, z1, z2, z3, z4, z5)
- P4_11169(names='z+', base_ring=Rational Field)#
Construct the weighted projective space \(\mathbb{P}^4(1,1,1,6,9)\).
INPUT:
names
– string. Names for the homogeneous coordinates. Seenormalize_names()
for acceptable formats.base_ring
– a ring (default: \(\QQ\)). The base ring for the toric variety.
OUTPUT: A
CPR-Fano toric variety
.EXAMPLES:
sage: P4_11169 = toric_varieties.P4_11169(); P4_11169 4-d CPR-Fano toric variety covered by 5 affine patches sage: P4_11169.fan().rays() N( 1, 0, 0, 0), N( 0, 1, 0, 0), N( 0, 0, 1, 0), N( 0, 0, 0, 1), N(-9, -6, -1, -1) in 4-d lattice N sage: P4_11169.gens() (z0, z1, z2, z3, z4)
- P4_11169_resolved(names='z+', base_ring=Rational Field)#
Construct the blow-up of the weighted projective space \(\mathbb{P}^4(1,1,1,6,9)\) at its curve of \(\ZZ_3\) orbifold fixed points.
INPUT:
names
– string. Names for the homogeneous coordinates. Seenormalize_names()
for acceptable formats.base_ring
– a ring (default: \(\QQ\)). The base ring for the toric variety.
OUTPUT: A
CPR-Fano toric variety
.EXAMPLES:
sage: P4_11169_resolved = toric_varieties.P4_11169_resolved() sage: P4_11169_resolved 4-d CPR-Fano toric variety covered by 9 affine patches sage: P4_11169_resolved.fan().rays() N( 1, 0, 0, 0), N( 0, 1, 0, 0), N( 0, 0, 1, 0), N( 0, 0, 0, 1), N(-9, -6, -1, -1), N(-3, -2, 0, 0) in 4-d lattice N sage: P4_11169_resolved.gens() (z0, z1, z2, z3, z4, z5)
- WP(*q, **kw)#
Construct weighted projective \(n\)-space over a field.
INPUT:
q
– a sequence of positive integers relatively prime to one another. The weightsq
can be given either as a list or tuple, or as positional arguments.
Two keyword arguments:
base_ring
– a field (default: \(\QQ\)).names
– string or list (tuple) of strings (default ‘z+’). Seenormalize_names()
for acceptable formats.
OUTPUT:
A
toric variety
. If \(q=(q_0,\dots,q_n)\), then the output is the weighted projective space \(\mathbb{P}(q_0,\dots,q_n)\) overbase_ring
.names
are the names of the generators of the homogeneous coordinate ring.
EXAMPLES:
A hyperelliptic curve \(C\) of genus 2 as a subscheme of the weighted projective plane \(\mathbb{P}(1,3,1)\):
sage: X = toric_varieties.WP([1,3,1], names='x y z') sage: X.inject_variables() Defining x, y, z sage: g = y^2 - (x^6-z^6) sage: C = X.subscheme([g]); C Closed subscheme of 2-d toric variety covered by 3 affine patches defined by: -x^6 + z^6 + y^2
- dP6(names='x u y v z w', base_ring=Rational Field)#
Construct the del Pezzo surface of degree 6 (\(\mathbb{P}^2\) blown up at 3 points) as a toric variety.
INPUT:
names
– string. Names for the homogeneous coordinates. Seenormalize_names()
for acceptable formats.base_ring
– a ring (default: \(\QQ\)). The base ring for the toric variety.
OUTPUT: A
CPR-Fano toric variety
.EXAMPLES:
sage: dP6 = toric_varieties.dP6(); dP6 2-d CPR-Fano toric variety covered by 6 affine patches sage: dP6.fan().rays() N( 0, 1), N(-1, 0), N(-1, -1), N( 0, -1), N( 1, 0), N( 1, 1) in 2-d lattice N sage: dP6.gens() (x, u, y, v, z, w)
- dP6xdP6(names='x0 x1 x2 x3 x4 x5 y0 y1 y2 y3 y4 y5', base_ring=Rational Field)#
Construct the product of two del Pezzo surfaces of degree 6 (\(\mathbb{P}^2\) blown up at 3 points) as a toric variety.
INPUT:
names
– string. Names for the homogeneous coordinates. Seenormalize_names()
for acceptable formats.base_ring
– a ring (default: \(\QQ\)). The base ring for the toric variety.
OUTPUT: A
CPR-Fano toric variety
.EXAMPLES:
sage: dP6xdP6 = toric_varieties.dP6xdP6(); dP6xdP6 4-d CPR-Fano toric variety covered by 36 affine patches sage: dP6xdP6.fan().rays() N( 0, 1, 0, 0), N(-1, 0, 0, 0), N(-1, -1, 0, 0), N( 0, -1, 0, 0), N( 1, 0, 0, 0), N( 1, 1, 0, 0), N( 0, 0, 0, 1), N( 0, 0, -1, 0), N( 0, 0, -1, -1), N( 0, 0, 0, -1), N( 0, 0, 1, 0), N( 0, 0, 1, 1) in 4-d lattice N sage: dP6xdP6.gens() (x0, x1, x2, x3, x4, x5, y0, y1, y2, y3, y4, y5)
- dP7(names='x u y v z', base_ring=Rational Field)#
Construct the del Pezzo surface of degree 7 (\(\mathbb{P}^2\) blown up at 2 points) as a toric variety.
INPUT:
names
– string. Names for the homogeneous coordinates. Seenormalize_names()
for acceptable formats.base_ring
– a ring (default: \(\QQ\)). The base ring for the toric variety.
OUTPUT: A
CPR-Fano toric variety
.EXAMPLES:
sage: dP7 = toric_varieties.dP7(); dP7 2-d CPR-Fano toric variety covered by 5 affine patches sage: dP7.fan().rays() N( 0, 1), N(-1, 0), N(-1, -1), N( 0, -1), N( 1, 0) in 2-d lattice N sage: dP7.gens() (x, u, y, v, z)
- dP8(names='t x y z', base_ring=Rational Field)#
Construct the del Pezzo surface of degree 8 (\(\mathbb{P}^2\) blown up at 1 point) as a toric variety.
INPUT:
names
– string. Names for the homogeneous coordinates. Seenormalize_names()
for acceptable formats.base_ring
– a ring (default: \(\QQ\)). The base ring for the toric variety.
OUTPUT: A
CPR-Fano toric variety
.EXAMPLES:
sage: dP8 = toric_varieties.dP8(); dP8 2-d CPR-Fano toric variety covered by 4 affine patches sage: dP8.fan().rays() N( 1, 1), N( 0, 1), N(-1, -1), N( 1, 0) in 2-d lattice N sage: dP8.gens() (t, x, y, z)
- torus(n, names='z+', base_ring=Rational Field)#
Construct the
n
-dimensional algebraic torus \((\mathbb{F}^\times)^n\).INPUT:
n
– non-negative integer. The dimension of the algebraic torus.names
– string. Names for the homogeneous coordinates. Seenormalize_names()
for acceptable formats.base_ring
– a ring (default: \(\QQ\)). The base ring for the toric variety.
OUTPUT: A
toric variety
.EXAMPLES:
sage: T3 = toric_varieties.torus(3); T3 3-d affine toric variety sage: T3.fan().rays() Empty collection in 3-d lattice N sage: T3.fan().virtual_rays() N(1, 0, 0), N(0, 1, 0), N(0, 0, 1) in 3-d lattice N sage: T3.gens() (z0, z1, z2) sage: sorted(T3.change_ring(GF(3)).point_set().list()) # optional - sage.rings.finite_rings [[1 : 1 : 1], [1 : 1 : 2], [1 : 2 : 1], [1 : 2 : 2], [2 : 1 : 1], [2 : 1 : 2], [2 : 2 : 1], [2 : 2 : 2]]


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Infer the type of anything
Applies some logic to parse anything
- Parameters
anything (Anything) – Something of whose type we need to infer
itemize (bool) – Should we infer the items in lists, tuples? (Default: True)
- Returns
Type of anything
- Return type
object


public class
LaoBreakIterator
extends com.ibm.icu.text.BreakIterator
This breaks Lao text into syllables according to: Syllabification of Lao Script for Line Breaking Phonpasit Phissamay, Valaxay Dalolay, Chitaphone Chanhsililath, Oulaiphone Silimasak, Sarmad Hussain, Nadir Durrani, Science Technology and Environment Agency, CRULP.
Most work is accomplished with RBBI rules, however some additional special logic is needed that cannot be coded in a grammar, and this is implemented here.
For example, what appears to be a final consonant might instead be part of the next syllable. Rules match in a greedy fashion, leaving an illegal sequence that matches no rules.
Take for instance the text ກວ່າດອກ The first rule greedily matches ກວ່າດ, but then ອກ is encountered, which is illegal. What LaoBreakIterator does, according to the paper:
Finally, LaoBreakIterator also takes care of the second concern mentioned in the paper. This is the issue of combining marks being in the wrong order (typos).
| Constructor and Description |
|---|
LaoBreakIterator
(com.ibm.icu.text.RuleBasedBreakIterator rules)
|
| Modifier and Type | Method and Description |
|---|---|
Object
|
clone
()
Clone method.
|
int
|
current
()
|
int
|
first
()
|
int
|
following
(int offset)
|
CharacterIterator
|
getText
()
|
int
|
last
()
|
int
|
next
()
|
int
|
next
(int n)
|
int
|
previous
()
|
void
|
setText
(
CharacterIterator
text)
|
void
|
setText
(
String
newText)
|
getAvailableLocales, getAvailableULocales, getBreakInstance, getCharacterInstance, getCharacterInstance, getCharacterInstance, getLineInstance, getLineInstance, getLineInstance, getLocale, getSentenceInstance, getSentenceInstance, getSentenceInstance, getTitleInstance, getTitleInstance, getTitleInstance, getWordInstance, getWordInstance, getWordInstance, isBoundary, preceding, registerInstance, registerInstance, unregister
public LaoBreakIterator(com.ibm.icu.text.RuleBasedBreakIterator rules)
public int current()
current
in class
com.ibm.icu.text.BreakIterator
public int first()
first
in class
com.ibm.icu.text.BreakIterator
public int following(int offset)
following
in class
com.ibm.icu.text.BreakIterator
public CharacterIterator getText()
getText
in class
com.ibm.icu.text.BreakIterator
public int last()
last
in class
com.ibm.icu.text.BreakIterator
public int next()
next
in class
com.ibm.icu.text.BreakIterator
public int next(int n)
next
in class
com.ibm.icu.text.BreakIterator
public int previous()
previous
in class
com.ibm.icu.text.BreakIterator
public void setText( CharacterIterator text)
setText
in class
com.ibm.icu.text.BreakIterator
public void setText( String newText)
setText
in class
com.ibm.icu.text.BreakIterator
public Object clone()
clone
in class
com.ibm.icu.text.BreakIterator


| The same occurs
in the frequency domain. As the frequency is changed the wavelength of the RF
signal also changes. This results in the phase of the received multipath
components changing, and correspondingly the interference between them. |
|
| Frequency
selective fading results in errors in OFDM signals as subcarriers that occur
in nulls have a very low SNR. By tracking the nulls in the spectrum it is
possible to avoid transmitting in them, saving transmission power and
minimising the error rate. |


New alleged Jeffrey Epstein victim comes forward, claims he raped her at age 15
by WABCA 31-year-old woman has filed a suit against Jeffrey Epstein's estate for alleged sexual assault.
She is identified only as Jane Doe 15. She isn't making her name public, but she is making her voice heard speaking out for the first time about the alleged sexual abuse she says she suffered at the hands of Epstein.
 I was only 15 years old," Jane Doe 15 said.
Jane said Epstein raped her while she was visiting his New Mexico ranch. The woman said she initially met the disgraced millionaire while on a school trip to New York City.
Epstein was found dead in his prison cell in August. He was 66.
He was facing child sex trafficking charges and decades behind bars if convicted.
An investigation continues into the circumstances surrounding his suicide and his alleged crimes.
"Jeffrey Epstein was only a small part of an insidious system of privilege that exploits children as sexual commodities and robs them of their youth," said Jane Doe 15.
Britain's Prince Andrew is one of those who was part of Epstein's circle. Critics are blasting his recent attempt to put the scandal behind him with a tell-all interview, saying it has only raised more questions about what he knows.
Attorney Gloria Allred, who is representing Jane Doe 15, is calling on Prince Andrew to talk with U.S. law enforcement about his relationship with Epstein.
"I think it's important for anyone, Prince Andrew or anyone else, who may have information for example about who else was in his circle, who else was in Mr. Epstein's employ," Allred said.
"Just because Epstein is dead does not mean others around him don't deserve their day in court as well," said Jane Doe 15.
She said she can't believe anyone close to Epstein didn't know he was sexually assaulting and trafficking young girls.
She is seeking unspecified damages in her suit.


Case study
How volunteering with personalised support helped young people in Sheffield gain qualifications, go to college or find an apprenticeship.
| Location | Sheffield, South Yorkshire |
| ESF funding | Skills Funding Agency |
| ESF target group | Young people not in education or training ( NEETs ) |
Future:proof, part of Sheffield City Council, used a volunteering-with-qualification project for young people, aged 16 to 18. They commissioned the project from PET-Xi to help the participants into work, college or an apprenticeship. The project was co-financed by the European Social Fund ( ESF ) and the Skills Funding Agency.
The project included work with the participants to:
Between March and December 2013:
Jak benefited from the programme and tells his story in his own words.
 When I left school, my parents were constantly on at me to get a job or go to college. The pressure was intense. I didn’t even know what I wanted to do or where to go.
I enjoyed mechanics at school but my passion was music, making beats on my computer. I figured there wasn’t much point to it because there wasn’t much money in it. I went for a mechanics apprenticeship but it didn’t work out.
I decided to do a volunteering course at PET-Xi. It’s the best decision I ever made. It was so motivational, it made me want to get up in a morning and do something. It gave me a purpose. My confidence levels shot up. The trainers were great and they believed in me.
The best part? Getting a volunteering placement at a theatre working as a Sound Assistant on a play. I shadowed professionals and learnt so much about technical knowledge and sound in a theatre performance. I had never even been to a theatre in my life and it really opened my mind to all the different work and opportunities out there. I met some amazing and talented people. I’d never even considered volunteering. I mean, what’s so good about working for free? Not anymore – I ended up volunteering for a whole month, 7 days a week!’
And now, I’ve enrolled on a Level 2 course in computer and music production at Red Tape Central. I am going to continue volunteering, especially now I have been asked to help out in the studio and I am going to keep looking forward. It’s great!! I am buzzing! And I even get to focus on my music – who’d of thought? And all thanks to PET-Xi.
Funding for the programme has ended but Sheffield City Council and PET-Xi are looking for other funds to continue the work.
Read more about the European Social Fund 2007 to 2013
Published: 7 May 2014


Thymeleaf - Bootstrap Table
Home
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Services
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My Favorite Places
This is a list of my favorite vacation spots.
- Los Angeles: The City of Dreams
- Paris: The Ciy of Love
- Las Vegas: The City of Lights
- Portland: The City of Roses
- San Francisco: The City of Champions
- San Diego: America's Finest City
- Tokyo: City of Glass
- Seattle: The City of Rain
- San Antonio: The City of Jobs


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Security groups open to the world using non-compliant ports (allowed ports: 80, 443, 2222)
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{% extends "admin/base.html" %} {% block body %}
To add a single user use the following field:
One can also add a range of users based on temperature. This works by setting a start, end, and step size. For example, start of 100, end of 150, and step size of 5 will generate 100, 105, 110, 115, ..., 150.
The passwords for the users will be auto generated by adding the indiviual digits of the temperature (e.g. the password for user 135 is 9).


The following books are useful for new users to get started:
Although the Modelica Language Tutorial is for an older version (Modelica 1.4), it is still instructive and relevant to understand the concepts of the language.
Links to papers that describe or used the Buildings library are available at http://simulationresearch.lbl.gov/modelica/Publications. The model documentation from the download page contains user guides that describe the individual packages of the Buildings library.
It is essential that users who develop new thermo-fluid models to understand the concept of stream connectors. Stream connectors are explained in the Modelica language definition, available at https://www.modelica.org/documents, and in the paper Franke et al. [Fra2009a]. The Buildings library uses similar modeling principles, and the same base classes, as the Modelica.Fluid library. Hence, we also recommend reading the paper about the standardization of thermo-fluid models in Modelica.Fluid [Fra2009b].
Xogeny’s Modelica Web Reference gives a concise overview, explanation and further links about the Modelica language.
Check the software requirements for the different versions of the Buildings library at http://simulationresearch.lbl.gov/modelica/Download
To start using Modelica, run the example models of the Buildings library. Make variations in these examples by changing values of model parameters or by replacing existing component models by new ones. The example models can be found in the packages Examples, and detailed tutorials with step-by-step instructions for how to build system models can be found in the Tutorial package.
Note that heat transfer models, which can be found in Buildings.HeatTransfer.*.Examples are easier to understand than fluid flow models because;
| [Fri2004] | Peter Fritzson. Principles of Object-Oriented Modeling and Simulation with Modelica 2.1. John Wiley & Sons, 2004. |
| [Fri2011] | Peter Fritzson. Introduction to Modeling and Simulation of Technical and Physical Systems with Modelica. Wiley-IEEE Press, ISBN 978-1-1180-1068-6, 2011. |
| [Fra2009a] |
|
| [Fra2009b] |
|
| [Til2001] | Michael M. Tiller. Introduction to Physical Modeling with Modelica. Kluwer Academic Publisher, 2001. |


|
| static unvme_desc_t * | unvme_desc_get (unvme_ioq_t *ioq) |
| |
| static void | unvme_desc_put (unvme_desc_t *desc) |
| |
| static int | unvme_complete_io (unvme_ioq_t *ioq, int timeout, u32 *cqe_cs) |
| |
| static int | unvme_submit_io (const unvme_ns_t *ns, unvme_desc_t *desc, void *buf, u64 slba, u32 nlb, int rsvd12) |
| |
| static void | unvme_adminq_create (unvme_device_t *dev, int qsize) |
| |
| static void | unvme_adminq_delete (unvme_device_t *dev) |
| |
| static void | unvme_ioq_create (unvme_device_t *dev, int q) |
| |
| static void | unvme_ioq_delete (unvme_device_t *dev, int q) |
| |
| static void | unvme_ns_init (unvme_ns_t *ns, int nsid) |
| |
| static void | unvme_cleanup (unvme_session_t *ses) |
| |
| unvme_ns_t * | unvme_do_open (int pci, int nsid, int qcount, int qsize) |
| |
| int | unvme_do_close (const unvme_ns_t *ns) |
| |
| void * | unvme_do_alloc (const unvme_ns_t *ns, u64 size) |
| |
| void | unvme_do_map (const unvme_ns_t *ns, u64 size, void *pmb) |
| |
| int | unvme_do_free (const unvme_ns_t *ns, void *buf) |
| |
| int | unvme_do_poll (unvme_desc_t *desc, int timeout, u32 *cqe_cs) |
| |
|
unvme_desc_t * | unvme_aflush (const unvme_ns_t *ns, int qid) |
| |
| unvme_desc_t * | unvme_rw (const unvme_ns_t *ns, int qid, int opc, void *buf, u64 slba, u32 nlb) |
| |
|
unvme_desc_t * | unvme_rw_extended (const unvme_ns_t *ns, int qid, int opc, void *buf, u64 slba, u32 nlb, int rsvd12) |
| |
UNVMe driver module.
Copyright (c) 2015-2016, Micron Technology, Inc. All rights reserved.
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
- Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
- Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
- Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.


--- layout: newsstory title: News Story match: Yeltz 3 Sittingbourne 1 ---
A 3-1 win at home to Sittingbourne and we're back onto the first page of the table on Ceefax. Oh joy! Evran's back as well.


public interface RobotUsbDevice
RobotUsbDevice
is an interface to USB devices that are commuicated with using
a serial communication stream. This is in contrast to more other USB devices that use
the full capabilities of USB. See http://www.usb.org/developers/defined_class.
Note that this is not to be confused with RobotUsbDeviceTty
.| Modifier and Type | Interface and Description |
|---|---|
static class |
RobotUsbDevice.Channel |
static class |
RobotUsbDevice.FirmwareVersion |
static class |
RobotUsbDevice.USBIdentifiers |
| Modifier and Type | Method and Description |
|---|---|
void |
close()
Closes the device
|
boolean |
getDebugRetainBuffers() |
DeviceManager.UsbDeviceType |
getDeviceType() |
RobotUsbDevice.FirmwareVersion |
getFirmwareVersion()
Returns the firmware version of this USB device, or null if no such version is known.
|
java.lang.String |
getProductName() |
SerialNumber |
getSerialNumber() |
RobotUsbDevice.USBIdentifiers |
getUsbIdentifiers()
Returns the USB-level vendor and product id of this device.
|
boolean |
isAttached()
Returns whether or not this USB device is known to be physically attached
|
boolean |
isOpen()
Returns whether the device is open or not
|
void |
logRetainedBuffers(long nsOrigin,
long nsTimerExpire,
java.lang.String tag,
java.lang.String format,
java.lang.Object... args) |
boolean |
mightBeAtUsbPacketStart()
Answers as to whether we're it's probably the case we're at the start of a Usb
packet.
|
int |
read(byte[] data,
int ibFirst,
int cbToRead,
long msTimeout,
TimeWindow timeWindow)
Reads a requested number of bytes from the device.
|
void |
requestReadInterrupt(boolean interruptRequested)
Interrupts any reads that are currently pending inside the device, possibly waiting
on a perhaps lengthy timeout.
|
void |
resetAndFlushBuffers()
Resets the remote USB device comm-layer as best we can.
|
void |
setBaudRate(int rate)
Sets the rate of data transmission used to communicate with the device.
|
void |
setBreak(boolean enable)
Sets or unsets a break state on the communication line
|
void |
setDataCharacteristics(byte dataBits,
byte stopBits,
byte parity)
Set the Data Characteristics
|
void |
setDebugRetainBuffers(boolean retain) |
void |
setDeviceType(DeviceManager.UsbDeviceType deviceType) |
void |
setFirmwareVersion(RobotUsbDevice.FirmwareVersion version)
Sets the firmware version of this USB device.
|
void |
setLatencyTimer(int latencyTimer)
Set the latency timer
|
void |
skipToLikelyUsbPacketStart()
Skips to the beginning of a USB packet, if not already there.
|
void |
write(byte[] data)
Write to device
|
void setDebugRetainBuffers(boolean retain)
boolean getDebugRetainBuffers()
void logRetainedBuffers(long nsOrigin, long nsTimerExpire, java.lang.String tag, java.lang.String format, java.lang.Object... args)
void setBaudRate(int rate) throws RobotUsbException
rate
- baud rateRobotUsbException
void setDataCharacteristics(byte dataBits, byte stopBits, byte parity) throws RobotUsbException
dataBits
- data bitsstopBits
- stop bitsparity
- parityRobotUsbException
void setLatencyTimer(int latencyTimer) throws RobotUsbException
latencyTimer
- latency timerRobotUsbException
void setBreak(boolean enable) throws RobotUsbException
enable
- whether or not to set a break stateRobotUsbException
void resetAndFlushBuffers() throws RobotUsbException
RobotUsbException
void write(byte[] data) throws java.lang.InterruptedException, RobotUsbException
data
- byte arrayjava.lang.InterruptedException
RobotUsbException
void skipToLikelyUsbPacketStart()
boolean mightBeAtUsbPacketStart()
int read(byte[] data, int ibFirst, int cbToRead, long msTimeout, TimeWindow timeWindow) throws RobotUsbException, java.lang.InterruptedException
data
- byte array into which to read the dataibFirst
- first index in data at which to read the datacbToRead
- number of bytes to readmsTimeout
- amount of time to wait, in ms, for data to become available to readtimeWindow
- optional place to return information as to when the data was readRobotUsbException
java.lang.InterruptedException
void requestReadInterrupt(boolean interruptRequested)
void close()
boolean isOpen()
boolean isAttached()
RobotUsbDevice.FirmwareVersion getFirmwareVersion()
setFirmwareVersion(FirmwareVersion)
void setFirmwareVersion(RobotUsbDevice.FirmwareVersion version)
getFirmwareVersion()
RobotUsbDevice.USBIdentifiers getUsbIdentifiers()
SerialNumber getSerialNumber()
java.lang.String getProductName()
void setDeviceType(DeviceManager.UsbDeviceType deviceType)
DeviceManager.UsbDeviceType getDeviceType()


Get started by filling in the information below to create your new project.
Everyone with the link will see this project.
Only members of this project would be able to access.
You are the only one able to access this project.


Here is a list of super cool affordable sports cars for sale that perform and look way above their class!


amazon-chime-sdk / com.amazonaws.services.chime.sdk.meetings.realtime.datamessage / DataMessage / throttled
throttled
val throttled: Boolean
- true if server throttled or rejected message,
false if server has posted the message to its recipients or it's not a sender receipt
Property
throttled
-
- true if server throttled or rejected message,
false if server has posted the message to its recipients or it's not a sender receipt


Recipe 3 Chicken
3.1 Broccoli Stir Fry
3.1.1 Ingredients
- 1 pound, chicken breast (sliced)
- 1 pound, broccoli
- 4 tablespoons, oyster sauce
- 2 tablespoons, fish sauce
- 1 tablespoon, sugar
- 4 cloves, garlic (minced)
- 1 tablespoon, cooking oil
3.1.2 Instructions
Heat oil on medium high heat. Add garlic and cook till it starts to brown (stir frequently). Add chicken, oyster sauce, fish sauce and sugar. Cook till chicken is cooked. Add broccoli and cook for a few more minutes. Serve with white rice.
3.2 Blackened Chicken
Original recipe from: https://www.countryliving.com/food-drinks/recipes/a44250/blackened-chicken-fennel-slaw-recipe/
3.2.1 Ingredients
- 1.25 pounds, chicken breast
- 1.5 teaspoons, blackening seasoning
- 3 tablespoons, olive oil
- 1, fennel bulb (thinly sliced large)
- .75 cups, fennel fronds (chopped)
- 3, celery ribs (sliced)
- 0.3 cups, red onion (sliced)
- 2 tablespoons, lemon juice
- 1, avocado (sliced)
- 0.3 cups, feta cheese
- salt and black pepper
3.2.2 Instructions
- Season chicken cutlets with blackening seasoning, and kosher salt and black pepper. Cook in 1 tablespoon olive oil in a large skillet over medium-high heat until cooked through, 3 to 4 minutes per side.
- Meanwhile, toss together thinly sliced large fennel bulb, chopped fennel fronds, celery ribs, red onion, 2 tablespoons olive oil, and fresh lemon juice. Stir in avocado and crumbled feta. Season with kosher salt and black pepper. Serve alongside chicken.
3.3 Greek Chicken Gyros
Original recipe from: https://www.modernhoney.com/greek-chicken-gyros-with-tzatziki-sauce/
3.3.1 Ingredients
Chicken Marinade:
- 2 pounds, chicken breast (cut into pieces)
- 0.25 cups, greek yogurt
- 3 tablespoons, lemon juice
- 2 tablespoons, olive oil
- 1 tablespoon, red wine vinegar
- 1 1/2 teaspoon, salt
- 1 teaspoon, ground black pepper
- 2 teaspoons, oregano
Tzatziki Sauce:
- 1.5 cups, greek yogurt
- 2 tablespoons, olive oil
- 1 tablespoon, lemon juice
- 1 tablespoons, red wine vinegar
- 1 teaspoon, salt
- 1 tablespoon, dill (diced)
- 3 cloves, garlic (finely diced)
- 1, cucumber (grated and squeezed to drain)
Greek Salad:
3, tomatoes (diced)
2, cucumber (peeled and diced)
0.25, red onion (diced)
2 tablespoons, parsley (diced)
1 tablespoon, olive oil
salt and pepper to taste
0.5 cups, feta cheese
4, pita bread
3.3.2 Instructions
- Place chicken, yogurt, lemon juice, olive oil, vinegar, salt, pepper, and oregano in bag and let marinate at least 30 minutes, preferably 2-4 hours. The ideal time is 24 hours.
- To make tzatziki sauce, stir together yogurt, olive oil, lemon juice, vinegar, salt, dill, and garlic. Stir in grated cucumber and taste for seasonings. Squeeze the cucumber to remove excess water before adding to rest of ingredients.
- To make greek salad, place tomatoes, cucumber, red onion, parsley, olive oil, salt and pepper in bowl. Stir to coat. Season to taste.
- Chicken can be cooked on grill or in skillet. To cook on grill – place chicken on kebobs and heat grill to medium heat. Cook for 5-7 minutes per side or until chicken is full cooked.
- To cook chicken on skillet. Heat skillet to medium high heat. Sprinkle with oil. Add chicken and cook for 8-10 minutes, or until chicken is fully cooked and golden brown.
- Place chicken in pita bread. You can warm the pita bread to make it pliable. Top with tzatziki sauce and greek salad. Add additional feta, if desired.
3.4 Jerk Chicken
Original recipe from: https://www.africanbites.com/jerk-chicken/
3.4.1 Ingredients
- 4 pounds, chicken thighs
- 1, lemon
- 0.5 tablespoon, cinnamon powder
- 0.3 teaspoon, thyme
- 3, green onion (chopped)
- 1, onion (coarsely chopped)
- 4, habanero pepper (chopped)
- 1.5 tablespoons, soy sauce
- 1 tablespoon, bouillon powder (optional)
- 3 tablespoons, dark brown sugar
- 6 cloves, garlic (chopped)
- 1 teaspoon, nutmeg (freshly grated)
- 1 tablespoon, allspice (coarsely ground)
- 1.5 tablespoons, ginger (chopped)
- 1 tablespoon, ground black pepper
- 0.5 cups, water
- salt and pepper to season
3.4.2 Instructions
- Trim chicken of excess fat and pat dry with a cloth or paper napkin. Rub with lemon, salt and pepper
- In a food processor or blender, combine the following: cinnamon, thyme, green onions, onion, habanero pepper, soy sauce, maggi/bouillon, brown sugar, garlic, nutmeg. allspice, fresh ginger ,ground pepper and Liquid . Pulse for about 30 seconds until blended.
  If possible, use gloves.
 Reserve the marinade
- Cook chicken on the prepare grill 12- 20minutes, until juices run clear (internal temp of 165 degree F), turning often to optimize cooking and browning.You may also broil, or roast the chicken in a hot oven (425 degrees F).
- In a small sauce pan simmer the remaining marinade and the one from the chicken for about 7 minutes. Serve with the chicken or mix it before serving with the plantains.
3.5 Sausage, Mushroom, and Black Olive White Pizzas
3.5.1 Ingredients
- 0.25 cups, grated parmesan
- 7 tablespoons, olive oil
- 1 clove, garlic (chopped)
- 1, ciabatta baguette (halved)
- 2, Italian-style chicken sausage links (fully cooked, thinly sliced)
- 0.75 cups, mushrooms (sliced)
- 0.25 cups, sliced black olives
- 1.5 cups, mozzarella (shredded)
- 4 cups, baby spinach
- 1 tablespoon, lemon juice
- 0.5 teaspoons, red pepper flakes (optional)
3.5.2 Instructions
- Preheat oven to 425F. Stir together Parmesan, 3 tablespoons olive oil, and chopped garlic clove.
- Halve ciabatta baguette lengthwise and cut into 4 pieces. Place on a foil-lined baking sheet and top with cheese mixture. Top with Italian-style chicken sausage links, mushrooms, and black olives. Sprinkle with shredded mozzarella. Bake until golden, 10 to 12 minutes.
- Meanwhile, toss together baby spinach, lemon juice and olive oil, and red pepper flakes (optional). Season with kosher salt and black pepper. Top pizza with spinach mixture. Serve immediately.


{% extends "layout.html" %} {% load staticfiles %} {% block content %}
Prabhav Benara is a wildlife enthuias and nature Traveller since 5 years .He has travelled many wildlife sanctuary including kanha, bandhavgarh, dikala, Jim corbet, kabini, nagarholae, ramthambore andy, bharatpur And many more. Travelling and wildlife enthusiasm has made him see world in different way , Each journey has counted his collection of beautiful pictures of nature,He has captured 300 species of birds around India and many endangered species of animals in India including Tigers,leapords ,Malabar squirrel,and many, He has exceptionally found one of the rarest bird who breeds in Himalaya,,yellow rumped wabler in Jaipur Rajasthan,which is a sole record by Prabhav in Jaipur He is currently exploring jhalana leapords safari on regular basis to learn more about leapords behavior and their increase in number relating to the forest which is shrinking day by day He has excellent captured images of leapords in natural environment, Besides wildlife photography he is doing his studies in biology to look more closely to nature. His many photos has got place in prestigious Indian wild life magazine, see the link below,
To contact me post me on my gmail below. For Colaborations, Business Enquiries, Photowalks or other inquiery on followed work mail.


Something has gone wrong. This demo is compatible with modern Firefox and Chrome browsers, and requires Javascript.
Your Turn
Hint : click a cell to remove it and all cells below
How it works : The bot uses alpha-beta pruning with a transposition table to search moves, creating the game tree below. Your moves have blue borders, the bot's are green. The tree below was created using D3.js and the animations use jQuery.


{# index.html: defines 'training' or 'analysis' session, prompts users to provide an upload file or URL to an XML (dataset), then defines which attributes within the dataset previously defined, to use for the SVM analysis. After the configurations and attributes have been defined, it is sent to 'logic_loader.py' for further analysis. #}
{# specify unicode (utf-8) encoding for html document #} {# use latest (IE) rendering engine, for IE #} {# set the width of the page to follow the screen-width of the device, with no zooming applied (1:1 scale) #} {# reactjs scripts: motivated by https://github.com/jeff1evesque/machine-learning/issues/2347 #}


Odds History Analytics Tool
Version: {{ ver }}
Start date:
End date:
Price movement:
Time period:
seconds


Presentation Not Found
Invalid URL
Valid Presentation URL Format
https://gitpitch.com/$user/$repo/$branch


Click a square to play a note.


Members
-
<readonly> Resource.AnimType :Number
-
Enum for Resource.Texture mask type
Type:
- Number
Properties:
Name Type Default Description NONE
Number 0 None. LINEAR_H
Number 1 Linear horizontally. Default value. LINEAR_V
Number 2 Linear vertically. Default value. RADIAL
Number 3 Radial. RADIAL_TOP_LEFT
Number 4 Radial top left. RADIAL_TOP_RIGHT
Number 5 Radial top right. RADIAL_BOTTOM_LEFT
Number 6 Radial bottom left. RADIAL_BOTTOM_RIGHT
Number 7 Radial bottom right. -
<readonly> Resource.Event :Number
-
Resource event.
Type:
- Number
Properties:
Name Type Default Description UNLOADED
Number 0 Resource unloaded. LOADED
Number 1 Resource loaded RESIZE
Number 2 Resource was resized. Used in Resource.Texture. CHANGED
Number 3 Resource changed. ADDED
Number 4 Resource added. ALL_LOADED
Number 5 All resoruces are loaded. -
<readonly> Resource.TextureType :Number
-
Enum for Resource.Texture texture type.
Type:
- Number
Properties:
Name Type Default Description UNKNOWN
Number -1 Unknown type. CANVAS
Number 0 Canvas 2D image. WEBGL
Number 1 WebGL texture object. -
<readonly> Resource.Type :Number
-
Resource type.
Type:
- Number
Properties:
Name Type Default Description BASIC
Number 0 Basic resource: JSON and undefined resources loaded through Ajax. TEXTURE
Number 1 Texture resource. SOUND
Number 2 Sound resource. SPRITE_SHEET
Number 3 Sprite sheet.
Methods
-
meta.createChannel(name) → {meta.Channel}
-
Create or get channel from the scope.
Parameters:
Name Type Description name
String Name of the channel. Returns:
Created channel.- Type
- meta.Channel
-
meta.releaseChannel(name)
-
Release channel.
Parameters:
Name Type Description name
-
meta.subscribe(owner, channel, func)
-
Subscribe to the channel.
Parameters:
Name Type Description owner
Object Pointer of the owner object. channel
meta.Channel | String | Array Name, object or array of the channels to subscribe to. func
function Callback function that will be called when emit arrives. -
meta.unsubscribe(owner, channel)
-
Unsubscribe from the channel.
Parameters:
Name Type Description owner
Object Pointer of the owner object. channel
meta.Channel | String | Array Name, object or array of the channels to unsubscribe from. -
meta.View(name)
-
View of the meta.
Parameters:
Name Type Description name
Name of the view. Properties:
Name Type Description name
String Name of the view. entities
Array Entities that has been added to the view. views
Array Views attached. controllers
Array Array with a controllers names that is added to the view. parentView
meta.View Pointer to parent view. Null if it not have parents. x
Number Setter/Getter. World position on x axis. y
Number Setter/Getter. World position on y axis. z
Number Setter/Getter. Depth index. bgColor
String Background color in Hex. tween
meta.Tween View tween. numEntities
Number Number of entities added to the view.


The Jena Diachronic Semantic explorer allows you to explore the semantic development of words over time.


Sketch Tool
Library to use SketchTool CLI tool more easily
Requirements:
- NodeJS ( Version 6+ )
- We recommend using Node Version Manager
To Get Started:
- Install the package in your project
npm install sketch-tool --save
To use:
const SketchTool = require('sketch-tool')
const Sketch = new SketchTool({
foo: 'bar'
})
Enabling the Debugger
To enable debug logs, enable them via environment variables.
To see all debug logs from this app, set the env variable:
DEBUG=sketch-tool*
Running with your project:
DEBUG=sketch-tool* node myproject.js


VSSUT Hackathon | Timeline
Problem Statement Release
Registration Open
Registration Ends
Finalists Out
Confirmation Mail From Selected Sides
Final 36 Hours Showdown