DOUBLE TEAM A film review by Michael John Legeros Copyright 1997 Michael John Legeros
(Columbia) Directed by Tsui Hark Written by Dan Jakoby and Paul Mones, based on a story by Dan Jakoby Cast Jean-Claude Van Damme, Mickey Rourke, Dennis Rodman, Natacha Lindinger, Paul Freeman MPAA Rating "R" (presumably for violence and profanity) Running Time 98 minutes Reviewed at General Cinemas at Pleasant Valley, Raleigh, NC (05APR97)
==
Jean-Claude Van Damme's third pairing with a renowned Chinese film- maker-- director Tsui Hark, a veteran of fifty films including ONCE UPON A TIME IN CHINA-- is wonderfully dumb fun. And, I believe, even more movie than either HARD TARGET (directed by John Woo) or last year's MAX- IMUM RISK (Ringo Lam). In fact, the plot is so convoluted that even *I* couldn't follow all the twisty turns. (Terrorists. Counter-terrorists. Six-foot-eight arms dealers. Pregnant wives in peril. A Roman order of Internet-surfing monks. An island think tank of "retired" specialists. And one big Bengal tiger. Got it?) However head-spinning it sounds, this is another movie of stunts and set pieces and explosions. Lots of explosions. Forget the holes. Forget the believability quotient. For- get the high-profile presence of Dennis Rodman, one of many internation- al "stars" who appear here. It's Hark, his editor, and his many stunt coordinators and choreographers who take your breath away. All you have to do is buy a ticket. And a Coke.
Grade: B-
--
Mike Legeros - Movie Hell http://www.n-vision.com/hell/
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rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
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belongs to the author.
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Related links: index of all rec.arts.movies.reviews reviews


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Pat's Amazing Salmon Cookies!
Home
Sales
Merchandise
Store Directions
About Us
Store number crunching
Store Name:
Minimum amount of people:
Maximum amount of people:
Average amount of cookies:
Deploy new store!


The Latest: Toy industry calls unsafe-toys list misleading
BOSTON - The Latest on the release of a toy safety group’s annual worst toys list (all times local):
11:30 a.m.
The toy industry is dismissing a safety group’s annual worst toys list as misleading and needlessly frightening to parents.
The Toy Association says World Against Toys Causing Harm doesn’t run safety tests on the toys.
In contrast, the industry trade group says all toys sold in the U.S. must meet more than 100 “rigorous safety tests and standards” by law.
The association represents most of the toy makers named on WATCH’s list. It also suggests parents buy toys from reputable stores and online sellers.
A high-powered Nerf gun, ice cream-scented Nickelodeon slime and a plastic Power Rangers claw are among the toys topping the list released Tuesday by WATCH.
The Massachusetts-based non-profit has been issuing the lists ahead of the holidays for more than four decades.
___
10:15 a.m.
A Nerf gun, ice cream-scented Nickelodeon slime and a plastic Power Rangers claw are among the toys making a consumer safety group's annual list of worst toys for the holidays.
World Against Toys Causing Harm, or WATCH, unveiled its list Tuesday at a Boston children's hospital.
A realistic toy machine-gun, the Pogo Trick Board, a yeti teddy bear and a pull-along caterpillar toy for infants also made the list.
The Massachusetts-based non-profit says many of the products present choking, eye and other safety hazards found in poorly designed toys.
It also cites the products for having inconsistent and inadequate warning labels.
The industry trade group The Toy Association didn’t immediately respond to an email seeking comment. In the past, it has dismissed the list as biased and inaccurate.


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| I l@ve RuBoard |
As we mentioned in Chapter 13, Sam Rushing (http://www.nightmare.com) has written an extension that allows Python to dynamically load and call any function in any DLL, not just special Python extensions. For the C programmers among you, these are equivalent to using the Windows API functions LoadLibrary() and GetProcAddress().
These tools offer a great deal of power but also carry risks. When using Python extension modules such as the Win32 extensions, you can be fairly confident the worst that will happen is a Python exception. When dynamically accessing a DLL, you are responsible for ensuring the arguments you pass are the correct type; an error in doing so can corrupt the stack and lead to either seriously misleading results or a crash.
Using these tools, Sam has built a comprehensive ODBC module that allows access to every function in the ODBC API and to a GUI application framework sitting directly on top of the Windows API.
In general, the safest way to access existing C libraries is to build Python extension modules. However, there may be occasions when a C compiler isn't available or when dynamic loading and unloading are required. A case study mentioned in Chapter 1, uses Calldll/Windll to interface to an encoding translation library that moves megabytes of data between operating systems each day; for political reasons, C/C++ development was not an option in this case.
Two packages are available from Sam Rushing's site. CallDLL consists of a Python extension module, calldll.pyd that exposes a low-level API for loading modules and calling functions within them. The DynWin package builds on this to offer a much easier high-level API, and includes the GUI library mentioned previously. The package includes a key module, windll.py that provides a higher-level wrapper around CallDLL making it easy to use. In fact, only two files are needed for dynamic loading: calldll.pyd, and windll.py, both of which should be installed on the PythonPath. These are included with the examples for the chapter, which can be found at http://starship.python.net/crew/mhammond/ppw32/.
As an example we've built an extremely basic DLL called simple.dll. This exports two functions, Min(a, b) and Max(a, b), which return the minimum and maximum of two numbers. All arguments and return types are integers. The following example shows how to load and use the DLL, presuming it's in c:\temp. You can omit a path if it's on the Windows path:
>>> from dynwin.windll import * >>> mod1 = module('c:\\temp\\simple') # loads the DLL >>> mod1.handle # it can report its location in memory 22806528 >>> mod1.Min(27, 28) # loads and executes Min function 27 >>> mod1.Min # we now have a 'callable function' object... <callable function "Min"> >>> mod1.Min.address #...which knows its address too 22836704
WinDLL is doing a lot of work behind the scenes here, using Python's abilities to introspect and trap attribute access. Go to windll.py`s source to see how it works.
WinDLL can transparently handle any integer or pointer arguments. The vast majority of Windows API calls have arguments that are either an integer, a pointer to a string, or some other structure, all of which require four bytes of memory. If you need to handle other types of arguments, it may be necessary to drop down a level and use the lower-level argument-formatting functions in CallDLL.
WinDLL also includes a class cstring that makes it easy to pass string or character buffer arguments back and forth. This class should be initialized with a Python string (which may be empty), and an optional length. Internally, cString maintains a buffer with a null-terminated string and the address of the buffer it passes to the DLL when used as an argument. To test this, the DLL exports a function StringRepeat that repeats a string a number of times:
>>> inBuf = cstring('spam') # make a buffer holding a c string >>> outBuf = cstring('',50) # make another big enough for output >>> mod1.StringRepeat(inBuf, outBuf, 10) # returns the length of out string 40 >>> outBuf 'spamspamspamspamspamspamspamspamspamspam'
Rather than go any further, you can refer to the documentation and examples in the CallDLL and DynWin packages.
| I l@ve RuBoard |


8 references to SetThreadProperties
System.Management.Automation (8)
engine\remoting\fanin\WSManPlugin.cs (6)
274
WSManPluginInstance.
SetThreadProperties
(requestDetails);
711
SetThreadProperties
(requestDetails);
764
SetThreadProperties
(requestDetails);
852
SetThreadProperties
(requestDetails);
944
SetThreadProperties
(requestDetails);
1039
SetThreadProperties
(requestDetails);
engine\remoting\fanin\WSManPluginShellSession.cs (2)
696
WSManPluginInstance.
SetThreadProperties
(creationRequestDetails);
796
WSManPluginInstance.
SetThreadProperties
(creationRequestDetails);


Hi, I'm
I'm an aspiring front-end web developer and am currently a student at Thinkful. I am also currently earning a BA in Psychology. With this unique combo, I strive to create great user experiences and good design, and so far, I love it.
Family and friends are very important to me. And, a good cup of coffee doesn't hurt either.
I currently live in the East Coast, right near Washington D.C. I love living in the suburban area, especially the beautiful walks I get to take every day. And if I ever need some city life, I can just hop on a Metro - and I'm in DC.
I am a musician and love composing and listening to music. Piano is my specialty, but I can have some fun with a guitar or a saxophone as well.
I also love to take walks, especially in the rain.


| Total net profit | -260.18 | Gross profit | 10.61 | Gross loss | -270.79 |
| Profit factor | 0.04 | Expected payoff | -1.46 | ||
| Absolute drawdown | -260.18 | Maximal drawdown (%) | 258.19 (-12974.37%) | ||
| Total trades | 178 | Profit trades (% of total) | 20 (11.24%) | Loss trades (% of total) | 158 (88.76%) |
| Long positions (won %) | 110 (13.64%) | Short positions (won %) | 68 (7.35%) | ||
| Largest | profit trade | 1.87 | loss trade | -15.88 | |
| Average | profit trade | 0.53 | loss trade | -1.71 | |
| Minimum | profit trade | 0.04 | loss trade | -0.03 | |
| Maximum | take profit in pips | 98.9 | stop loss in pips | -539.9 | |
| Average | take profit in pips | 8.1 | stop loss in pips | -93.1 | |
| Minimum | take profit in pips | -160.8 | stop loss in pips | -21.7 | |
| Maximum | Reward-Risk | 4.2 | Duration in minutes | 3012 | |
| Average | Reward-Risk | 0.5 | Duration in minutes | 159.4 | |
| Minimum | Reward-Risk | 0.0 | Duration in minutes | 0 | |
| Maximum | consecutive wins (profit in money) | 3.0 (1.34) | consecutive losses (loss in money) | 36.0 (-58.04) | |
| Average | consecutive wins | 1.0 | consecutive losses | 9.0 |
| Total net profit | -173.31 | Gross profit | 5.27 | Gross loss | -178.58 |
| Profit factor | 0.03 | Expected payoff | -1.58 | ||
| Absolute drawdown | -173.31 | Maximal drawdown (%) | 171.32 (-8609.05%) | ||
| Total trades | 110 | Profit trades (% of total) | 15 (13.64%) | Loss trades (% of total) | 95 (86.36%) |
| Largest | profit trade | 1.05 | loss trade | -15.88 | |
| Average | profit trade | 0.35 | loss trade | -1.88 | |
| Minimum | profit trade | 0.04 | loss trade | -0.03 | |
| Maximum | take profit in pips | 59.5 | stop loss in pips | -539.9 | |
| Average | take profit in pips | -11.0 | stop loss in pips | -110.8 | |
| Minimum | take profit in pips | -160.8 | stop loss in pips | -30.0 | |
| Maximum | Reward-Risk | 1.2 | Duration in minutes | 3012.0 | |
| Average | Reward-Risk | 0.2 | Duration in minutes | 207.8 | |
| Minimum | Reward-Risk | 0.0 | Duration in minutes | 0.0 | |
| Maximum | consecutive wins (profit in money) | 3.0 (0.72) | consecutive losses (loss in money) | 47.0 (-83.34) | |
| Average | consecutive wins | 1.0 | consecutive losses | 8.0 |
| Total net profit | -86.87 | Gross profit | 5.34 | Gross loss | -92.21 |
| Profit factor | 0.06 | Expected payoff | -1.28 | ||
| Absolute drawdown | -87.98 | Maximal drawdown (%) | 86.92 (-8200.0%) | ||
| Total trades | 68 | Profit trades (% of total) | 5 (7.35%) | Loss trades (% of total) | 63 (92.65%) |
| Largest | profit trade | 1.87 | loss trade | -4.52 | |
| Average | profit trade | 1.07 | loss trade | -1.46 | |
| Minimum | profit trade | 0.15 | loss trade | -0.39 | |
| Maximum | take profit in pips | 98.9 | stop loss in pips | -508.4 | |
| Average | take profit in pips | 38.8 | stop loss in pips | -64.4 | |
| Minimum | take profit in pips | -141.3 | stop loss in pips | -21.7 | |
| Maximum | Reward-Risk | 4.2 | Duration in minutes | 1039.0 | |
| Average | Reward-Risk | 1.1 | Duration in minutes | 81.1 | |
| Minimum | Reward-Risk | Duration in minutes | 0.0 | ||
| Maximum | consecutive wins (profit in money) | 1.0 (0.15) | consecutive losses (loss in money) | 19.0 (-28.4) | |
| Average | consecutive wins | 1.0 | consecutive losses | 12.0 |


Home
Business.
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Definition at line 6 of file BoardManager.cs.
| void BoardManager.BoardSetup |
( |
| ) |
|
|
private |
Definition at line 100 of file BoardManager.cs.
109 r.widthRoom =
Random.Range(4,8);
110 r.heightRoom =
Random.Range(4,8);
111 r.xRoomPosition =
Random.Range(0,
rows - r.widthRoom);
116 for(
int x = r.xRoomPosition; x <= (r.xRoomPosition + r.widthRoom); x++)
118 for(
int y = r.yRoomPosition; y <= (r.yRoomPosition + r.heightRoom); y++)
122 if(x == r.xRoomPosition || x == (r.xRoomPosition + r.widthRoom) || y == r.yRoomPosition || y == (r.yRoomPosition + r.heightRoom))
127 GameObject instance = Instantiate (toInstantiate,
new Vector3 (x, y, 0f), Quaternion.identity) as GameObject;
GameObject[] outerWallTiles
bool RoomCollides(Room r1)
| void BoardManager.ConnectRooms |
( |
| ) |
|
|
private |
| void BoardManager.InitialiseList |
( |
| ) |
|
|
private |
Definition at line 86 of file BoardManager.cs.
90 for(
int x = 1; x <
columns-1; x++)
92 for(
int y = 1; y <
rows-1; y++)
List< Vector3 > gridPositions
| void BoardManager.LayoutObjectAtRandom |
( |
GameObject[] |
tileArray, |
|
|
int |
minimum, |
|
|
int |
maximum |
|
) |
| |
|
private |
Definition at line 220 of file BoardManager.cs.
223 int objectCount =
Random.Range (minimum, maximum+1);
226 for(
int i = 0; i < objectCount; i++)
232 GameObject tileChoice = tileArray[
Random.Range (0, tileArray.Length)];
235 Instantiate(tileChoice, randomPosition, Quaternion.identity);
| Vector3 BoardManager.RandomPosition |
( |
| ) |
|
|
private |
Definition at line 210 of file BoardManager.cs.
214 Vector3 randomPosition =
new Vector3(
Random.Range(room.xRoomPosition + 1, room.xRoomPosition + room.widthRoom - 1 ),
Random.Range(room.yRoomPosition + 1, room.yRoomPosition + room.heightRoom - 1 ), 0f);
216 return randomPosition;
| bool BoardManager.RoomCollides |
( |
Room |
r1 | ) |
|
|
private |
| void BoardManager.SetupScene |
( |
int |
level | ) |
|
Definition at line 239 of file BoardManager.cs.
248 Instantiate (
player,
new Vector3 (
roomsList[0].xRoomPosition + 1,
roomsList[0].yRoomPosition + 1, 0f), Quaternion.identity);
void LayoutObjectAtRandom(GameObject[] tileArray, int minimum, int maximum)
| void BoardManager.SpawnDoors |
( |
| ) |
|
|
private |
Definition at line 156 of file BoardManager.cs.
160 r.xEnterPosition = r.xRoomPosition + 1;
161 r.yEnterPosition = r.yRoomPosition + 1;
162 r.xExitPosition = r.xRoomPosition + r.widthRoom - 1;
163 r.yExitPosition = r.yRoomPosition + r.heightRoom - 1;
165 Instantiate (
enter,
new Vector3 (r.xEnterPosition, r.yEnterPosition, 0f), Quaternion.identity);
166 Instantiate (
exit,
new Vector3 (r.xExitPosition, r.yExitPosition, 0f), Quaternion.identity);
| Transform BoardManager.boardHolder |
|
private |
| int BoardManager.columns = 80 |
| GameObject [] BoardManager.enemyTiles |
| GameObject BoardManager.enter |
| GameObject BoardManager.exit |
| GameObject [] BoardManager.floorTiles |
| GameObject [] BoardManager.foodTiles |
| List<Vector3> BoardManager.gridPositions = new List <Vector3> () |
|
private |
| GameObject [] BoardManager.outerWallTiles |
| GameObject BoardManager.player |
| int BoardManager.roomNumber = 25 |
| List<Room> BoardManager.roomsList = new List<Room>() |
| int BoardManager.rows = 80 |
| GameObject [] BoardManager.wallTiles |
The documentation for this class was generated from the following file:


About PyClaw¶
PyClaw is part of Clawpack – an open-source, free project. If you find PyClaw useful, please let us know.
Contributors¶
Many people have contributed to PyClaw, some of them very substantial parts of the package. Their work is greatly appreciated: no open source project can survive without a community. The following people contributed major parts of the library (in alphabetical order)
- Aron Ahmadia: PETSc integration; I/O; programmatic testing framework; general design.
- Amal Alghamdi: Initial development of PetClaw, many bug-fixes and enhancements.
- Jed Brown: Implicit time stepping (still experimental).
- Ondrej Certik: Installation and continuous integration bug-fixes.
- Lisandro Dalcin: Fortran wrapping; PETSc integration; general efficiency.
- Matthew Emmett: PyWENO integration.
- Yiannis Hadjimichael: Documentation testing.
- David Ketcheson: General maintenance and development; incorporation of SharpClaw routines.
- Matthew Knepley: General design; PETSc integration.
- Grady Lemoine: Interleaving and cache-optimization of 3D Classic routines.
- Kyle Mandli: Initial design and implementation of the PyClaw framework.
- Matteo Parsani: Mapped grids; Python-Fortran interfacing; implicit time stepping.
- Manuel Quezada de Luna: 2D P-system Riemann solvers and example script.
- Kristof Unterweger: PeanoClaw (AMR); still experimental.
Contributions to the package are most welcome. If you have used PyClaw for research, chances are that others would find your code useful. See General information for developers for more details.
License¶
PyClaw is distributed under a Berkeley Software Distribution (BSD) style license. The license is in the file pyclaw/LICENSE.txt and reprinted below.
See http://www.opensource.org/licenses/bsd-license.php for more details.
Copyright (c) 2008-2011 Kyle Mandli and David I. Ketcheson. 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 King Abdullah University of Science & Technology nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.

Funding¶
PyClaw development has been supported by grants from King Abdullah University of Science & Technology.


As diabetes is a prime risk factor for cardiovascular disease, controlling other risk factors which may give rise to secondary conditions, as well as the diabetes itself, is one of the facets of diabetes management.
Polycystic ovarian syndrome or disease (PCOS/PCOD) is a hormonal disorder that affects women in their reproductive age. PCOS is a common health condition that affects teen and young women, it is seen in 1 out of o10 women in their childbearing age.
The thyroid, or thyroid gland, is an endocrine gland in the neck consisting of two connected lobes. The lower two thirds of the lobes are connected by a thin band of tissue called the thyroid isthmus. The thyroid is located at the front of the neck, below the Adam's apple.
Kidney disease, or renal disease, also known as nephropathy, is damage to or disease of a kidney. Nephritis is an inflammatory kidney disease and has several types according to the location of the inflammation. Inflammation can be diagnosed by blood tests. Nephrosis is non-inflammatory kidney disease.
Liver disease (hepatic disease) is any disease that negatively affects the normal, healthy performance of the liver. Learn more about types of liver problems and their causes at WebMD.
Cardiac diet refers to the food intake that is healthy for the heart and avoids any heart disorder. A cardiac diet plan should be nutrition-rich and include fruits, vegetables, whole grain etc. This is advised for those people who have high blood pressure, high cholesterol or any other history of heart disease.
Weight management is the phrase used to describe both the techniques and underlying physiological processes that contribute to a person's ability to attain and maintain a certain weight. Most weight management techniques encompass long-term lifestyle strategies that promote healthy eating and daily physical activity.
Sources of healthy protein and fats that you can include in your acid-reflux-free diet may include extra-lean ground beef and steak, skinless chicken breast, egg whites, and low-fat fish. Dairy products are sometimes cited as a trigger of acid reflux in some people.
Thirty (50%) pre-pregnancy conditions were similarly reported between cases and controls. Among 80 post-pregnancy factors surveyed, women with HG also showed significantly higher reporting for 7 common and 50 rare post-pregnancy outcomes.
Many people adopt a high-protein diet to try to lose weight. Healthful foods that are high in protein include lean meats, nuts, quinoa, and fish. Learn more about the high-protein diet here.
This diet provides 25-30gm of fat daily in which is half of the average amount of fat in normal mixed diet. It is used for many types of diseases.
A gluten-free diet is a diet that excludes the protein gluten. Gluten is found in grains such as wheat, barley, rye, and a cross between wheat and rye called triticale.A gluten-free diet is essential for managing signs and symptoms of celiac disease and other medical conditions associated with gluten. A gluten-free diet is, however, popular among people without gluten-related medical conditions.


Victoria Beckham admits son Romeo used her to get more followers on TikTok
Victoria Beckham isn’t usually one to let her guard down when it comes to social media but it seems she has a weakness when it comes to her son, Romeo.
The 45-year-old former Spice Girls member revealed on The Ellen Degeneres Show that her 17-year-old son recently ‘used’ her to get more TikTok followers.
Ellen asked: ‘Is it Romeo that made you dance in the kitchen?’
Advertisement Advertisement
To which Posh Spice responded: ‘The TikTok!
‘He came home the other day and he said “Mum, I’ve just joined TikTok – will you do a dance with me?”‘
When Victoria asked Romeo what they should dance to, her son – of course – responded, Spice Up Your Life.
After they were done dancing up a storm in the kitchen, Romeo took his mum’s phone and posted the video on Instagram, clearly showing off his own TikTok username for her 27 million followers to see.
He then cheekily said: ‘That’ll get my numbers up!’
Ellen responded: ‘He used you!’ and Victoria agreed.
The former Spice Girl then said: ‘It was a lot of fun but I’ve got to say Romeo definitely takes after his dad with his moves.’
Burn!

Chatting to Polish model Malgosia Bela for Vogue Poland, Victoria explained that her ‘two most important roles’ are as a mother and running her own business.
Victoria, who’s been married to David Beckham since 1999, has four kids with the former footballer – Brooklyn, Romeo, Cruz, and Harper.
Advertisement Advertisement
Her children appear to be following in her footsteps, with Brooklyn and Harper both showing their faces at London Fashion Week earlier this year.
Got a showbiz story?
If you've got a celebrity story, video or pictures get in touch with the Metro.co.uk entertainment team by emailing us<EMAIL_ADDRESS>calling 020 3615 2145 or by visiting our Submit Stuff page - we'd love to hear from you.


Point the camera and scan a target with this OnBoarding Manual app to visualize info related to that target.
Key Functionality
- Request target info meta data based on reco response
- Render target info on target
- Transition display of target info to screen when off target
- Augments video on target
Targets
Sample
Target
Instructions
- Point camera at sample target cover to view info
- Press close box to scan another target


Description
This special function should only be called within Language Definition types. It walks the attributes of a tree node of type xdom which is not an xdom:element. The DocLang example shows a sample use.
Function walk:attrs
| @x:func walk:attrs(exp~xdom:element) | ||
|
Semantics
The pass result. This will be null for all passes.


Petr van Blokland
Petr van Blokland (1956) is the owner, together with Claudia Mens, of Buro Petr van Blokland + Claudia Mens, founded in 1982. He studied at the Royal Academy of Arts – cum laude – in The Hague and Industrial Design at Delft Technical University. His special interest is in typography, type design, designing the design process, automation of design, developing software tools for designers and design theory. He developed live design games at various art schools and conferences around the world and published columns in design magazines on various topics.
Van Blokland lectured at the Department of Graphic Design of the Academy of Arts in Arnhem (1984 – 1989), at the Department of Graphic Design (1988-2011) and Master Type & Media (1998 – present) of the Royal Academy of Arts in The Hague, as well as at the Master Institute of AKV St. Joost in Den Bosch (2010 - present).
Van Blokland received the Charles Peignot Award for typography of AtypI, the Association Typographique International, in 1988 and was Board Member from 1996 to 2003.
He was co-founder and CTO for The Health Agency, publisher of online health information, from 2001 to 2006.
Besides lecturing, his current focus is on international projects, related to typography and type design. He also is co-founder of webtype.com and typenetwork.com, for which many typedesign tools were developed. Type Network is also the location of his type foundry TYPETR. The online study environment DesignDesign.Space started in 2017.


This is a broken English version. If you find lexical or grammatical mistakes, or strange expressions (including kidding, unnatural or unclear ones) in this document, please let me know.
XMLscan is one of non-validating XML parser written in 100% pure Ruby.
XMLscan's features are as follows:
XMLscan doesn't require any extension libraries, so it completely works only with a Ruby interpreter version 1.6 or above. (It also needs no standard-bundled extension library.)
XMLscan has been developed to satisfy all conditions, described in XML 1.0 Specification and required to a non-validating XML processor
XMLscan is, probably, the fastest parser among all existing XML/HTML parsers written in pure Ruby.
XMLscan can parse an XML document encoded in at least iso-8859-*, EUC-*, Shift_JIS, and UTF-8 as it is. UTF-16 is not supported directly, though.
The role of xmlscan is just to parse an XML document. XMLscan doesn't provide high-level features to easily handle an XML document. XMLscan is assumed to be used as a core part of a library providing such features.
XMLscan contains htmlscan, an HTML parser.
By default, the value of global variable $KCODE decides which CES (character encoding scheme) is assumed for xmlscan to parse an XML document. You need to set $KCODE or XMLScan::XMLScanner#kcode= an appropriate value to parse an XML document encoded in EUC-*, Shift_JIS, or UTF-8.
UTF-16 is not supported directly. You should convert it into UTF-8 before parsing.
XML Namespaces have been already implemented in xmlscan/namespace.rb. However, since its interface is going to be modified, this feature is undocumented now.
The superclass for all exceptions related to xmlscan.
These exceptions are raised by XMLScan::Visitor by default when it receives an error report from a parser, such as XMLScan::XMLScanner or XMLScan::XMLParser. Each parser never raises these exceptions by itself.
An error except a constraint violation, for example, an XML document is unmatched with a production.
Raised when an XML document violates an well-formedness constraint.
Raised when an XML document violates an validity constraint.
Mix-in for receiving the result of parsing an XML document.
Each parser included in xmlscan parses an XML document from the beginning, and calls each specific method of given instance of XMLScan::Visitor for each syntactic element, such as a tag. It is ensured that these calls is in order of the appearance in the document from the beginning.
Without special notice, the following methods do nothing by default.
XMLScan::Visitor#parse_error(msg)
Called when the parser meets an error except a constraint violation, for example, an XML document is unmatched with a production. By default, this method raises XMLScan::ParseError exception. If no exception is raised and this method returns normally, the parser recovers the error and continues to parse.
XMLScan::Visitor#wellformed_error(msg)
Called when the parser meets an well-formedness constraint violation. By default, this method raises XMLScan::NotWellFormedError exception. If no exception is raised and this method returns normally, the parser recovers the error and continues to parse.
XMLScan::Visitor#valid_error(msg)
Called when the parser meets validity constraint violation. By default, this method raises XMLScan::NotValidError exception. If no exception is raised and this method returns normally, the parser recovers the error and continues to parse.
FYI, current version of xmlscan includes no validating XML processor. This method is reserved for future versions.
XMLScan::Visitor#warning(msg)
Called when the parser meets a non-error but unrecommended thing or a syntax which xmlscan is not able to parse.
XMLScan::Visitor#on_start_document
Called just before the parser starts parsing an XML document. After this method is called, corresponding XMLScan::Visitor#on_end_document method is always called.
XMLScan::Visitor#on_end_document
Called after the parser reaches the end of an XML document.
XMLScan::Visitor#on_xmldecl
XMLScan::Visitor#on_xmldecl_version(str)
XMLScan::Visitor#on_xmldecl_encoding(str)
XMLScan::Visitor#on_xmldecl_standalone(str)
XMLScan::Visitor#on_xmldecl_other(name, value)
XMLScan::Visitor#on_xmldecl_end
Called when the parser meets an XML declaration.
<?xml version="1.0" encoding="euc-jp" standalone="yes" ?> ^ ^ ^ ^ ^ 1 2 3 4 5 method argument -------------------------------------- 1: on_xmldecl 2: on_xmldecl_version ("1.0") 3: on_xmldecl_encoding ("euc-jp") 4: on_xmldecl_standalone ("yes") 5: on_xmldecl_end
When an XML declaration is found, both on_xmldecl and on_xmldecl_end method are always called. Any other methods are called only when the corresponding syntaxes are found.
When a declaration except version, encoding, and standalone is found in an XML declaration, on_xmldecl_other method is called. Since such a declaration is not permitted, note that the parser always calls XMLScan::Visitor#parse_error method before calling on_xmldecl_other method.
XMLScan::Visitor#on_doctype(root, pubid, sysid)
Called when the parser meets a document type declaration.
document argument
-------------------------------------------------------------- 1: <!DOCTYPE foo> ('foo', nil, nil) 2: <!DOCTYPE foo SYSTEM "bar"> ('foo', nil, 'bar') 3: <!DOCTYPE foo PUBLIC "bar"> ('foo', 'bar', nil ) 4: <!DOCTYPE foo PUBLIC "bar" "baz"> ('foo', 'bar', 'baz')
XMLScan::Visitor#on_prolog_space(str)
Called when the parser meets whitespaces in prolog.
XMLScan::Visitor#on_comment(str)
Called when the parser meets a comment.
XMLScan::Visitor#on_pi(target, pi)
Called when the parser meets a processing instruction.
XMLScan::Visitor#on_chardata(str)
Called when the parser meets character data.
XMLScan::Visitor#on_cdata(str)
Called when the parser meets a CDATA section.
XMLScan::Visitor#on_entityref(ref)
Called when the parser meets a general entity reference in a place except an attribute value.
XMLScan::Visitor#on_charref(code)
XMLScan::Visitor#on_charref_hex(code)
Called when the parser meets a character reference in a place except an attribute value. When the character code is represented by decimals, on_charref is called. When by hexadecimals, on_charref_hex is called. code is an integer.
XMLScan::Visitor#on_stag(name)
XMLScan::Visitor#on_attribute(name)
XMLScan::Visitor#on_attr_value(str)
XMLScan::Visitor#on_attr_entityref(ref)
XMLScan::Visitor#on_attr_charref(code)
XMLScan::Visitor#on_attr_charref_hex(code)
XMLScan::Visitor#on_attribute_end(name)
XMLScan::Visitor#on_stag_end_empty(name)
XMLScan::Visitor#on_stag_end(name)
Called when the parser meets an XML declaration.
<hoge fuga="foo&bar;&&baz" > ^ ^ ^ ^ ^ ^ ^ ^ ^ 1 2 3 4 5 6 7 8 9 method argument ------------------------------------ 1: on_stag ('hoge') 2: on_attribute ('fuga') 3: on_attr_value ('foo') 4: on_attr_entityref ('bar') 5: on_attr_charref (38) 6: on_attr_charref_hex (38) 7: on_attr_value ('baz') 8: on_attribute_end ('fuga') 9: on_stag_end ('hoge') or on_stag_end_empty ('hoge')
When a start tag is found, both on_stag and corresponding either on_stag_end or on_stag_end_empty method are always called. Any other methods are called only when at least one attribute is found in the start tag.
When an attribute is found, both on_attribute and on_attribute_end method are always called. If the attribute value is empty, only these two methods are called.
When the parser meets a general entity reference in an attribute value, it calls on_attr_entityref method. When the parser meets a character reference in an attribute value, it calls either on_charref or on_charref_hex method.
If the tag is an empty element tag, on_stag_end_empty method is called instead of on_stag_end method.
XMLScan::Visitor#on_etag(name)
Called when the parser meets an end tag.
The scanner which tokenizes an XML document and recognize tags, and so on.
The conformance of XMLScan::XMLScanner to the specification is described in another document.
XMLScan::XMLScanner.new(visitor[, option ...])
Creates an instance. visitor is a instance of XMLScan::Visitor and receives the result of parsing from the XMLScan::Scanner object.
You can specify one of more option as a string or symbol. XMLScan::Scanner's options are as follows:
This option is enabled after
require 'xmlscan/xmlchar'
.
XMLScan::Scanner checks whether an XML document includes
an illegal character. The performance decreases sharply.
XMLScan::XMLScanner#kcode= arg
Sets CES. Available values for code are same as $KCODE except nil. If code is nil, $KCODE decides the CES.
XMLScan::XMLScanner#kcode
Returns CES. The format of the return value is same as Regexp#kcode. If this method returns nil, it represents that $KCODE decides the CES.
XMLScan::XMLScanner#parse(source)
Parses source as an XML document. source must be a string, an array of strings, or an object which responds to gets method which behaves same as IO#gets does.
The non-validating XML parser.
The conformance of XMLScan::XMLParser to the specification is described in another document.
XMLScan::XMLParser.new(visitor[, option ...])
XMLScan::XMLParser makes sure the following for each method of visitor:
After calling this method, XMLScan::Parser always call corresponding XMLScan::Visitor#on_etag method.
In addition, if you never intend error recovery, method calls which must not be occurred in a well-formed XML document are all suppressed.
An HTML parser based on XMLScan::XMLScanner.
The conformance of XMLScan::HTMLScanner to the specification is described in another document.
XMLScan::HTMLScanner.new(visitor[, option ...])
XMLScan::HTMLScanner makes sure the following for each method of visitor:
An XML declaration never appears in an HTML document, so XMLScan::HTMLScanner never calls these methods.
An empty element tag never appears in an HTML document, so XMLScan::HTMLScanner never calls this method. An empty element tag causes a parse error.
There is no well-formedness constraint for HTML, so XMLScan::HTMLScanner never calls this method.


The data displayed in the tables of this document was gathered by manually running the event sequence test. I've not employed automation (WebDriver) for this because I wanted the tests to start in the browser's chrome (the browser UI itself) and I didn't see how this could be managed reliably with current test automation tools.
The Following table shows the exact order events that are dispatched when tabbing through the focusable elements.


The above website is very user friendly. Most of the information I got, I was able to take directly from it in an easy manner. The menus and images and links are quick, simple, and digestable. The negative feedback I have is that its just an ugly website. The black background is horrendous, and the graphics just don't seem to be placed well.
The Detroit Red Wings were founded in 1926, and are one of the six original members of the NHL. The Red Wings have won more Stanley Cup championships than any other team based in the United States. Their current captain is Henrik Zetterberg. Their current head coach is Jeff Blashill.
| Player | Season | Points |
|---|---|---|
| Henrik Zetterberg | 2015-2016 | 50 |
| Henrik Zetterberg | 2014-2015 | 66 |
| Daniel Alfredsson/Niklas Kronwall | 2013-2014 | 49 |
| Pavel Datsyuk | 2012-2013 | 49 |
| Henrik Zetterberg | 2011-2012 | 69 |
Link to Image
Link to Image


| Date | Device Name | Status | Quote | |
|---|---|---|---|---|
| {{transaction.date | date : format : short }} | {{transaction.device}} | {{transaction.status}} | {{transaction.amount | currency}} |
Total Quotes: {{user.transactions.length}}
Total Kits Ordered: {{kits}}
Total Completed Sales: {{completedSales}}
Total Income: {{totalIncome| currency}}
Join Date: {{user.joinDate | date : format : short}}


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This demo illustrates some of the functionality of the Neurosynth viewer. The viewer can be easily dropped into any webpage; in this example, we add a bunch of views and components, and then load three layers: (i) a standard MNI152 anatomical template; (ii) an emotion meta-analysis generated using Neurosynth; and (iii) a language meta-analysis generated using Neurosynth. Layers can be turned on or off and dynamically resorted by dragging and dropping.


--- layout: post esbma_id: 1786 title: Veracity screenshot: Burndown Chart date: 2010-07-15 15:13:59 ---
Yesterday I tried to describe Veracity in a thousand words. Today, let's try a picture.
Veracity's distributed work item tracking feature is one of several things which is built on that "decentralized database" I mentioned. This screenshot is Veracity displaying a burndown chart for a Scrum iteration.
The thing on the left is an activity stream. It's a Twitter-like feature with other notifications mixed in, such as code checkins and comments on work items.


| Package | Description |
|---|---|
| org.milyn.calc | |
| org.milyn.cdr |
Smooks Configurations (Content Delivery Resources - CDR) Object Model.
|
| org.milyn.cdr.xpath | |
| org.milyn.cdr.xpath.evaluators | |
| org.milyn.cdr.xpath.evaluators.equality | |
| org.milyn.cdr.xpath.evaluators.logical | |
| org.milyn.cdr.xpath.evaluators.value | |
| org.milyn.db | |
| org.milyn.delivery |
Content Delivery.
|
| org.milyn.delivery.dom.serialize |
Serialisation Unit Definitions.
|
| org.milyn.delivery.nested | |
| org.milyn.delivery.sax |
SAX based Content Delivery.
|
| org.milyn.delivery.sax.terminate | |
| org.milyn.io | |
| org.milyn.javabean |
Smooks Javabean Cartridge implementation classes.
|
| org.milyn.javabean.context | |
| org.milyn.persistence | |
| org.milyn.routing.basic | |
| org.milyn.routing.db | |
| org.milyn.routing.file | |
| org.milyn.routing.io | |
| org.milyn.routing.jms | |
| org.milyn.smooks.camel.routing | |
| org.milyn.templating.freemarker |
FreeMarker templating for Smooks.
|
| org.milyn.validation | |
| org.milyn.visitors.ctrl | |
| org.milyn.visitors.remove | |
| org.milyn.visitors.set |
| Class and Description |
|---|
| SAXElement
Element details as described by the SAX even model API.
|
| SAXVisitAfter
SAX Visit after events.
|
| SAXVisitBefore
SAX Visit before events.
|
| SAXVisitor
SAX Visitor.
|
| Class and Description |
|---|
| SAXElement
Element details as described by the SAX even model API.
|
| Class and Description |
|---|
| SAXElement
Element details as described by the SAX even model API.
|
| Class and Description |
|---|
| SAXElement
Element details as described by the SAX even model API.
|
| Class and Description |
|---|
| SAXElement
Element details as described by the SAX even model API.
|
| SAXVisitBefore
SAX Visit before events.
|
| SAXVisitor
SAX Visitor.
|
| Class and Description |
|---|
| SAXElement
Element details as described by the SAX even model API.
|
| Class and Description |
|---|
| SAXElement
Element details as described by the SAX even model API.
|
| Class and Description |
|---|
| SAXElement
Element details as described by the SAX even model API.
|
| SAXVisitBefore
SAX Visit before events.
|
| SAXVisitor
SAX Visitor.
|
| Class and Description |
|---|
| SAXElement
Element details as described by the SAX even model API.
|
| SAXVisitAfter
SAX Visit after events.
|
| SAXVisitBefore
SAX Visit before events.
|
| SAXVisitor
SAX Visitor.
|
| Class and Description |
|---|
| SAXElement
Element details as described by the SAX even model API.
|
| SAXElementVisitor
SAX Element Visitor.
|
| SAXText
SAX Text.
|
| SAXVisitAfter
SAX Visit after events.
|
| SAXVisitBefore
SAX Visit before events.
|
| SAXVisitChildren
SAX Visit children events.
|
| SAXVisitor
SAX Visitor.
|
| Class and Description |
|---|
| SAXElement
Element details as described by the SAX even model API.
|
| SAXVisitBefore
SAX Visit before events.
|
| SAXVisitor
SAX Visitor.
|
| Class and Description |
|---|
| DynamicSAXElementVisitorList
Dynamic SAX Element Visitor list.
|
| SAXElement
Element details as described by the SAX even model API.
|
| SAXElementVisitor
SAX Element Visitor.
|
| SAXElementVisitorMap
SAXElement visitor Map.
|
SAXElementWriterUtil
SAXElement XML writing/serialization utility class. |
| SAXText
SAX Text.
|
| SAXVisitAfter
SAX Visit after events.
|
| SAXVisitBefore
SAX Visit before events.
|
| SAXVisitChildren
SAX Visit children events.
|
| SAXVisitor
SAX Visitor.
|
SAXWriterAccessException
SAXElement element writer access excecption. |
| TextType
Text data type.
|
| Class and Description |
|---|
| SAXElement
Element details as described by the SAX even model API.
|
| SAXVisitAfter
SAX Visit after events.
|
| SAXVisitBefore
SAX Visit before events.
|
| SAXVisitor
SAX Visitor.
|
| Class and Description |
|---|
| SAXElement
Element details as described by the SAX even model API.
|
| SAXVisitBefore
SAX Visit before events.
|
| SAXVisitor
SAX Visitor.
|
| Class and Description |
|---|
| SAXElement
Element details as described by the SAX even model API.
|
| SAXVisitAfter
SAX Visit after events.
|
| SAXVisitBefore
SAX Visit before events.
|
| SAXVisitor
SAX Visitor.
|
| Class and Description |
|---|
| SAXElement
Element details as described by the SAX even model API.
|
| SAXElementVisitor
SAX Element Visitor.
|
| SAXText
SAX Text.
|
| SAXVisitAfter
SAX Visit after events.
|
| SAXVisitBefore
SAX Visit before events.
|
| SAXVisitChildren
SAX Visit children events.
|
| SAXVisitor
SAX Visitor.
|
| Class and Description |
|---|
| SAXElement
Element details as described by the SAX even model API.
|
| SAXVisitAfter
SAX Visit after events.
|
| SAXVisitBefore
SAX Visit before events.
|
| SAXVisitor
SAX Visitor.
|
| Class and Description |
|---|
| SAXElement
Element details as described by the SAX even model API.
|
| SAXVisitAfter
SAX Visit after events.
|
| SAXVisitBefore
SAX Visit before events.
|
| SAXVisitor
SAX Visitor.
|
| Class and Description |
|---|
| SAXElement
Element details as described by the SAX even model API.
|
| SAXVisitAfter
SAX Visit after events.
|
| SAXVisitBefore
SAX Visit before events.
|
| SAXVisitor
SAX Visitor.
|
| Class and Description |
|---|
| SAXVisitBefore
SAX Visit before events.
|
| SAXVisitor
SAX Visitor.
|
| Class and Description |
|---|
| SAXElement
Element details as described by the SAX even model API.
|
| SAXVisitAfter
SAX Visit after events.
|
| SAXVisitBefore
SAX Visit before events.
|
| SAXVisitor
SAX Visitor.
|
| Class and Description |
|---|
| SAXElement
Element details as described by the SAX even model API.
|
| SAXVisitAfter
SAX Visit after events.
|
| SAXVisitBefore
SAX Visit before events.
|
| SAXVisitor
SAX Visitor.
|
| Class and Description |
|---|
| SAXElement
Element details as described by the SAX even model API.
|
| SAXVisitAfter
SAX Visit after events.
|
| SAXVisitor
SAX Visitor.
|
| Class and Description |
|---|
| SAXElement
Element details as described by the SAX even model API.
|
| SAXElementVisitor
SAX Element Visitor.
|
| SAXText
SAX Text.
|
| SAXVisitAfter
SAX Visit after events.
|
| SAXVisitBefore
SAX Visit before events.
|
| SAXVisitChildren
SAX Visit children events.
|
| SAXVisitor
SAX Visitor.
|
| Class and Description |
|---|
| SAXElement
Element details as described by the SAX even model API.
|
| SAXVisitAfter
SAX Visit after events.
|
| SAXVisitBefore
SAX Visit before events.
|
| SAXVisitor
SAX Visitor.
|
| Class and Description |
|---|
| SAXElement
Element details as described by the SAX even model API.
|
| SAXVisitAfter
SAX Visit after events.
|
| SAXVisitor
SAX Visitor.
|
| Class and Description |
|---|
| SAXElement
Element details as described by the SAX even model API.
|
| SAXVisitAfter
SAX Visit after events.
|
| SAXVisitBefore
SAX Visit before events.
|
| SAXVisitor
SAX Visitor.
|
| Class and Description |
|---|
| DefaultSAXElementSerializer
Default Serializer for SAX Filtering.
|
| SAXElement
Element details as described by the SAX even model API.
|
| SAXElementVisitor
SAX Element Visitor.
|
| SAXVisitAfter
SAX Visit after events.
|
| SAXVisitBefore
SAX Visit before events.
|
| SAXVisitChildren
SAX Visit children events.
|
| SAXVisitor
SAX Visitor.
|
Copyright © 2020. All rights reserved.


|
hcash
2.0.0
hcash
|
#include <blockchain/ChainDatabase.hpp>
Go to the source code of this file.
Classes | |
| class | hsrcore::net::ChainServer |
| The chain_server class listens for remote chain_downloaders and sends them blocks when they connect. More... | |
Namespaces | |
| hsrcore | |
| hsrcore::net | |
| hsrcore::net::detail | |


[CHAPTER 311D]
INTERSTATE COMPACT ON EDUCATIONAL
OPPORTUNITY FOR MILITARY CHILDREN
Section
311D-1 Enactment of compact
311D-2 State council
311D-3 Appointment of compact commissioner


From the archives: Learning to Sight Along the Space Capsule
This post was originally published on 2016-12-29 when I was on the Data Engineering team at Grand Rounds. Enjoy!
Testing does not have to be complicated, but sometimes it can turn into spaghetti just like any other code. This talk by Sandi Metz at Railsconf 2013 inspired me to revisit some of the unit tests for one of our services that relies heavily on FTP and SFTP connections.
Why are my tests failing?
The previous test suite for this service used a gem that was originally created as a mocked framework for testing FTP connection behaviors. However, a few key problems existed with this solution:
- The gem hasn’t been maintained in a couple years, which started to cause intermittent spec failures.
- The gem doesn’t support SFTP connections, which our service relies much more heavily on than FTP.
- The gem doesn’t actually mock anything. It starts up a local FTP server, runs the tests, and then shuts the server down. Each test that’s run against it is generating a real response, albeit locally. This not only took up a lot of time (starting and stopping the local server before and after each spec), but was also another source of intermittent failures.
So, after creating a plan of attack, I rewrote or deleted every single test that used this gem. Each test was also re-evaluated for “sighting along the space capsule,” as Sandi Metz calls it. Any test that was written for a private method, a message sent to the object’s self, or an implementation detail was scrutinized (and most of them deleted), which exposed the true underlying issue: almost every single test we’d written that used the gem was an implementation test, not an interface test.
External responses are supposed to be completely mocked out in unit testing, not make actual calls to an API or server. Tests exist to make sure our code works as expected, not to verify that no errors are raised when making external requests. A unit test that requires a response from an outside source is already a broken test; save those for integration tests instead.
Reframing our point of view
Here’s an example to illustrate my point. Let’s say we have an object whose job is to get a list of files from a specific folder on an FTP server. For brevity’s sake, let’s define it like this, with the nitty gritty details fleshed out elsewhere:
class FtpThing
def get_list_of_files(username, password, folder_name)
@some_connection.open(username, password)
list_of_files = @some_connection.list(folder_name)
@some_connection.close
list_of_files
end
end
Now, one option for testing this is the way we did it before, something like this:
let(:ftp_thing) { FtpThing.new }
let(:list) { [‘file1.txt’, ‘file2.txt'] }
before do
# spin up the “mock" (real) server
# put a (real) file or two in a folder on the server
end
it ‘gives me the right list of files’ do
expect(ftp_thing.get_list_of_files(‘username’, ‘password’, ‘folder_name’)).to eq(list)
ftp_thing.get_list_of_files(‘username’, ‘password’, ‘folder_name’)
end
after do
# shut down the server
end
On the surface, this doesn’t look terrible. It’s testing the value returned from getListOfFiles
, right? Yay, that’s what we want! But… not quite. We’ve started a real server, and we hope that a) it started in time for our tests to run, and b) it doesn’t fail or raise any errors, which is how our tests will pass. Instead, we need to allow
a mocked response and set up our expectation this way:
let(:mock_connection) { double(‘ftp’) }
let(:ftp_thing) { FtpThing.new }
let(:list) { [‘file1.txt’, ‘file2.txt'] }
before do
ftp_thing.set_instance_variable(:@some_connection, mock_connection)
allow(mock_connection).to receive(:open)
allow(mock_connection).to receive(:list).and_return(list)
allow(mock_connection).to receive(:close)
end
it ‘gives me the right list of files’ do
expect(ftp_thing.get_list_of_files(‘username’, ‘password’, ‘folder_name’)).to eq(list)
ftp_thing.get_list_of_files(‘username’, ‘password’, ‘folder_name’)
end
See the difference? We aren’t starting a server or making a real external call; we’re just pretending that it happened and gave us the right response. The true test is whether our code is giving us the right value back after it makes an external call. This is also an easy way to test error responses, too! I can allow my connection to raise an error, and then test my error handling from there, rather than trying to fake out a whole server thing.
Bonus points: If I want to change the implementation of my server call–maybe I want to change how it connects or opens the connection, or something similar–then my tests are not broken and I can continue on my merry way.
The moral of the story
No project is complete without some beautiful numerical data to back it up, so here’s some numbers to show off just how much time this saves us. Running the entire test suite on the application before:
Finished in 2 minutes 56.1 seconds (files took 2.72 seconds to load)
172 examples, 0 failures
And after:
Finished in 5.67 seconds (files took 2.77 seconds to load)
155 examples, 0 failures
That’s a 97% time improvement. Precious minutes of time regained, and no more intermittent failures as well.
The moral of the story? Don’t make real calls to real servers in your tests, even if they’re local to your machine or CI container. Set up mocked responses when needed, and test that your code is actually working, not theirs. (And seriously: watch that talk by Sandi Metz at least three more times until it really sticks. Your future self will thank you.)


RAMReel
About
This project is maintained by Ramotion, Inc.
We specialize in the designing and coding of custom UI for Mobile Apps and Websites.
Looking for developers for your project? [▶CONTACT OUR TEAM◀]
The iPhone mockup available here.
Requirements
- iOS 8.0+
- Swift 3.0
Installation
We recommend using CocoaPods to install our library.
Just put this in your Podfile
:
pod 'RAMReel'
or Carthage users can simply add Mantle to their Cartfile
:
github "Ramotion/reel-search"
Usage
In order to use our control you need to implement the following:
Types
CellClass
: Your cell class must inherit fromUICollectionViewCell
and implement theConfigurableCell
protocol. Or you can just use our predefined classRAMCell
.TextFieldClass
: Any subclass ofUITextField
will do.DataSource
: Your type must implement theFlowDataSource
protocol, withQueryType
beingString
andResultType
beingRenderable
andParsable
. Or you can just use our predefined classSimplePrefixQueryDataSource
, which has itsResultType
set toString
.
Now you can use those types as generic parameters of type declaration of RAMReel
:
RAMReel<CellClass, TextFieldClass, DataSource>
Values
Next you need to create an instance of RAMReel
, and for that you need the following:
frame: CGRect
: Rect, specifying where you want to put the control.dataSource: DataSource
: the source of data for the reel.placeholder: String
(optional): Placeholder text; by default, an empty string is used.hook: DataSource.ResultType -> Void
(optional): Action to perform on element selection,nil
by default. You can add additional hooks later, if you need multiple actions performed.
Let’s use it to create an instance of RAMReel
:
let ramReel = RAMReel<CellClass, TextFieldClass, DataSource>(frame: frame, dataSource: dataSource, placeholder: placeholder, hook: hook)
Adding action hooks
To add extra actions you may append DataSource.ResultType -> Void
functions to RAMReel
object property hooks
:
ramReel.hooks.append { data in
// your code goes here
}
Putting on the view
And the final step, showing RAMReel
on your view:
ramReel.view.autoresizingMask = [.FlexibleWidth, .FlexibleHeight]
yourView.addSubview(ramReel.view)
If you have visual problems, try calling prepareForViewing
before showing your view.
Like this:
override func viewDidLayoutSubviews() {
super.viewDidLayoutSubviews()
ramReel.prepareForViewing()
}
Theming
If you want to change RAMReel
look and feel, you can use theming.
To do so, you just to have to implement the Theme
protocol in your class/structure and set your RAMReel
object’s theme
property to your theme.
Or you can just use the predefined instance of type RAMTheme
.
let textColor: UIColor
let listBackgroundColor: UIColor
let font: UIFont
let theme = RAMTheme(textColor: textColor, listBackgroundColor: listBackgroundColor, font: font)
Docs
See more at RAMReel docs


Slogan
an
outstanding
new mixed-use
development
with a
shakespearean
twist
Launch
Launching October 2015
The Stage will comprise a 40-storey residential tower
and over 250,000 sq. ft. of office, retail and leisure space, whilst also
incorporating a world-class heritage center - Shakespeare's Curtain
Theatre, providing a unique international identity for investors,
residents and occupiers.
Registration
Register for the latest on the stage
Contact
For enquires
For enquires
Please get in touch
Lorem ipsum dolor sit amet, consectetuer adipiscing elit commodo pretium quis, sem. Nulla consequat massa quis enim.
Retail
020 XXXX XXXX
Resdential
020 XXXX XXXX
Offices
020 XXXX XXXX


Glossary: TBD
- chapter
- Number of chapters in the course. Chapters are top-level sections defined in the course outline. These can be viewed in the left navigation bar of the course page.
- sequential
- Number of sequentials in the course. Sequentials are embedded under chapters, and can be accessed through the left navigation bar in the course page.
- vertical
- Number of verticals in the course. Verticals are embedded under sequentials, and can be accessed through clicking on a vertical element.
- html
- Number of html pages in the course. Html pages are the page sections in vertical that do not include videos or problems
- video
- Number of videos in the course.
- problem
- Number of promblem assets in the course. Problems are a type of component.
- survey
- Number of surveys embedded in the course. Surveys are a type of components.
{% autoescape off %}{{ table }}{% endautoescape %}


Family Games America’s Quantumino solver#
This module allows to solve the Quantumino puzzle made by Family Games America (see also this video on Youtube). This puzzle was left at the dinner room of the Laboratoire de Combinatoire Informatique Mathématique in Montreal by Franco Saliola during winter 2011.
The solution uses the dancing links code which is in Sage and is based on
the more general code available in the module sage.combinat.tiling
.
Dancing links were originally introduced by Donald Knuth in 2000
(arXiv cs/0011047). In particular,
Knuth used dancing links to solve tilings of a region by 2D pentaminos.
Here we extend the method for 3D pentaminos.
This module defines two classes :
sage.games.quantumino.QuantuminoState
class, to represent a state of the Quantumino game, i.e. a solution or a partial solution.sage.games.quantumino.QuantuminoSolver
class, to find, enumerate and count the number of solutions of the Quantumino game where one of the piece is put aside.
AUTHOR:
Sébastien Labbé, April 28th, 2011
DESCRIPTION (from [1]):
” Pentamino games have been taken to a whole different level; a 3-D level, with this colorful creation! Using the original pentamino arrangements of 5 connected squares which date from 1907, players are encouraged to “think inside the box” as they try to fit 16 of the 17 3-D pentamino pieces inside the playing perimeters. Remove a different piece each time you play for an entirely new challenge! Thousands of solutions to be found! Quantumino hands-on educational tool where players learn how shapes can be transformed or arranged into predefined shapes and spaces. Includes: 1 wooden frame, 17 wooden blocks, instruction booklet. Age: 8+ “
EXAMPLES:
Here are the 17 wooden blocks of the Quantumino puzzle numbered from 0 to 16 in the following 3d picture. They will show up in 3D in your default (=Jmol) viewer:
sage: from sage.games.quantumino import show_pentaminos
sage: show_pentaminos()
Graphics3d Object
To solve the puzzle where the pentamino numbered 12 is put aside:
sage: from sage.games.quantumino import QuantuminoSolver
sage: s = next(QuantuminoSolver(12).solve()) # long time (10 s)
sage: s # long time (<1s)
Quantumino state where the following pentamino is put aside :
Polyomino: [(0, 0, 0), (1, 0, 0), (1, 1, 0), (1, 1, 1), (2, 1, 1)], Color: blue
sage: s.show3d() # long time (<1s)
Graphics3d Object
To remove the frame:
sage: s.show3d().show(frame=False) # long time (<1s)
To solve the puzzle where the pentamino numbered 7 is put aside:
sage: s = next(QuantuminoSolver(7).solve()) # long time (10 s)
sage: s # long time (<1s)
Quantumino state where the following pentamino is put aside :
Polyomino: [(0, 0, 0), (0, 1, 0), (0, 2, 0), (0, 2, 1), (1, 0, 0)], Color: orange
sage: s.show3d() # long time (<1s)
Graphics3d Object
The solution is iterable. This may be used to explicitly list the positions of each pentamino:
sage: for p in s: p # long time (<1s)
Polyomino: [(...), (...), (...), (...), (...)], Color: ...
Polyomino: [(...), (...), (...), (...), (...)], Color: ...
Polyomino: [(...), (...), (...), (...), (...)], Color: ...
Polyomino: [(...), (...), (...), (...), (...)], Color: ...
Polyomino: [(...), (...), (...), (...), (...)], Color: ...
Polyomino: [(...), (...), (...), (...), (...)], Color: ...
Polyomino: [(...), (...), (...), (...), (...)], Color: ...
Polyomino: [(...), (...), (...), (...), (...)], Color: ...
Polyomino: [(...), (...), (...), (...), (...)], Color: ...
Polyomino: [(...), (...), (...), (...), (...)], Color: ...
Polyomino: [(...), (...), (...), (...), (...)], Color: ...
Polyomino: [(...), (...), (...), (...), (...)], Color: ...
Polyomino: [(...), (...), (...), (...), (...)], Color: ...
Polyomino: [(...), (...), (...), (...), (...)], Color: ...
Polyomino: [(...), (...), (...), (...), (...)], Color: ...
Polyomino: [(...), (...), (...), (...), (...)], Color: ...
To get all the solutions, use the iterator returned by the solve
method. Note that finding the first solution is the most time consuming
because it needs to create the complete data to describe the problem:
sage: it = QuantuminoSolver(7).solve()
sage: next(it) # not tested (10s)
Quantumino state where the following pentamino is put aside :
Polyomino: [(0, 0, 0), (0, 1, 0), (0, 2, 0), (0, 2, 1), (1, 0, 0)], Color: orange
sage: next(it) # not tested (0.001s)
Quantumino state where the following pentamino is put aside :
Polyomino: [(0, 0, 0), (0, 1, 0), (0, 2, 0), (0, 2, 1), (1, 0, 0)], Color: orange
sage: next(it) # not tested (0.001s)
Quantumino state where the following pentamino is put aside :
Polyomino: [(0, 0, 0), (0, 1, 0), (0, 2, 0), (0, 2, 1), (1, 0, 0)], Color: orange
To get the solution inside other boxes:
sage: s = next(QuantuminoSolver(7, box=(4,4,5)).solve()) # not tested (2s)
sage: s.show3d() # not tested (<1s)
sage: s = next(QuantuminoSolver(7, box=(2,2,20)).solve()) # not tested (1s)
sage: s.show3d() # not tested (<1s)
If there are no solution, a StopIteration error is raised:
sage: next(QuantuminoSolver(7, box=(3,3,3)).solve())
Traceback (most recent call last):
...
StopIteration
The implementation allows a lot of introspection. From the
TilingSolver
object,
it is possible to retrieve the rows that are passed to the DLX
solver and count them. It is also possible to get an instance of the DLX
solver to play with it:
sage: q = QuantuminoSolver(0)
sage: T = q.tiling_solver()
sage: T
Tiling solver of 16 pieces into a box of size 80
Rotation allowed: True
Reflection allowed: False
Reusing pieces allowed: False
sage: rows = T.rows() # not tested (10 s)
sage: len(rows) # not tested (but fast)
5484
sage: x = T.dlx_solver() # long time (10 s)
sage: x # long time (fast)
Dancing links solver for 96 columns and 5484 rows
REFERENCES:
[2] Quantumino - How to Play on Youtube
[3] Knuth, Donald (2000). Dancing links. arXiv cs/0011047.
- class sage.games.quantumino.QuantuminoSolver(aside, box=(5, 8, 2))#
Bases:
SageObject
Return the Quantumino solver for the given box where one of the pentamino is put aside.
INPUT:
aside
- integer, from 0 to 16, the aside pentaminobox
- tuple of size three (optional, default:(5,8,2)
), size of the box
EXAMPLES:
sage: from sage.games.quantumino import QuantuminoSolver sage: QuantuminoSolver(9) Quantumino solver for the box (5, 8, 2) Aside pentamino number: 9 sage: QuantuminoSolver(12, box=(5,4,4)) Quantumino solver for the box (5, 4, 4) Aside pentamino number: 12
- number_of_solutions()#
Return the number of solutions.
OUTPUT:
integer
EXAMPLES:
sage: from sage.games.quantumino import QuantuminoSolver sage: QuantuminoSolver(4, box=(3,2,2)).number_of_solutions() 0
This computation takes several days:
sage: QuantuminoSolver(0).number_of_solutions() # not tested ??? hundreds of millions ???
- solve(partial=None)#
Return an iterator over the solutions where one of the pentamino is put aside.
INPUT:
partial
- string (optional, default:None
), whether to include partial (incomplete) solutions. It can be one of the following:None
- include only complete solution'common'
- common part between two consecutive solutions'incremental'
- one piece change at a time
OUTPUT:
iterator of QuantuminoState
EXAMPLES:
Get one solution:
sage: from sage.games.quantumino import QuantuminoSolver sage: s = next(QuantuminoSolver(8).solve()) # long time (9s) sage: s # long time (fast) Quantumino state where the following pentamino is put aside : Polyomino: [(0, 0, 0), (0, 0, 1), (0, 1, 0), (1, 0, 0), (1, 1, 0)], Color: yellow sage: s.show3d() # long time (< 1s) Graphics3d Object
The explicit solution:
sage: for p in s: p # long time (fast) Polyomino: [(...), (...), (...), (...), (...)], Color: ... Polyomino: [(...), (...), (...), (...), (...)], Color: ... Polyomino: [(...), (...), (...), (...), (...)], Color: ... Polyomino: [(...), (...), (...), (...), (...)], Color: ... Polyomino: [(...), (...), (...), (...), (...)], Color: ... Polyomino: [(...), (...), (...), (...), (...)], Color: ... Polyomino: [(...), (...), (...), (...), (...)], Color: ... Polyomino: [(...), (...), (...), (...), (...)], Color: ... Polyomino: [(...), (...), (...), (...), (...)], Color: ... Polyomino: [(...), (...), (...), (...), (...)], Color: ... Polyomino: [(...), (...), (...), (...), (...)], Color: ... Polyomino: [(...), (...), (...), (...), (...)], Color: ... Polyomino: [(...), (...), (...), (...), (...)], Color: ... Polyomino: [(...), (...), (...), (...), (...)], Color: ... Polyomino: [(...), (...), (...), (...), (...)], Color: ... Polyomino: [(...), (...), (...), (...), (...)], Color: ...
Enumerate the solutions:
sage: it = QuantuminoSolver(0).solve() sage: next(it) # not tested Quantumino state where the following pentamino is put aside : Polyomino: [(0, 0, 0), (1, 0, 0), (1, 1, 0), (1, 1, 1), (1, 2, 0)], Color: deeppink sage: next(it) # not tested Quantumino state where the following pentamino is put aside : Polyomino: [(0, 0, 0), (1, 0, 0), (1, 1, 0), (1, 1, 1), (1, 2, 0)], Color: deeppink
With the partial solutions included, one can see the evolution between consecutive solutions (an animation would be better):
sage: it = QuantuminoSolver(0).solve(partial='common') sage: next(it).show3d() # not tested (2s) sage: next(it).show3d() # not tested (< 1s) sage: next(it).show3d() # not tested (< 1s)
Generalizations of the game inside different boxes:
sage: next(QuantuminoSolver(7, (4,4,5)).solve()) # long time (2s) Quantumino state where the following pentamino is put aside : Polyomino: [(0, 0, 0), (0, 1, 0), (0, 2, 0), (0, 2, 1), (1, 0, 0)], Color: orange sage: next(QuantuminoSolver(7, (2,2,20)).solve()) # long time (1s) Quantumino state where the following pentamino is put aside : Polyomino: [(0, 0, 0), (0, 1, 0), (0, 2, 0), (0, 2, 1), (1, 0, 0)], Color: orange sage: next(QuantuminoSolver(3, (2,2,20)).solve()) # long time (1s) Quantumino state where the following pentamino is put aside : Polyomino: [(0, 0, 0), (0, 1, 0), (0, 2, 0), (1, 0, 0), (1, 0, 1)], Color: green
If the volume of the box is not 80, there is no solution:
sage: next(QuantuminoSolver(7, box=(3,3,9)).solve()) Traceback (most recent call last): ... StopIteration
If the box is too small, there is no solution:
sage: next(QuantuminoSolver(4, box=(40,2,1)).solve()) Traceback (most recent call last): ... StopIteration
- tiling_solver()#
Return the Tiling solver of the Quantumino Game where one of the pentamino is put aside.
EXAMPLES:
sage: from sage.games.quantumino import QuantuminoSolver sage: QuantuminoSolver(0).tiling_solver() Tiling solver of 16 pieces into a box of size 80 Rotation allowed: True Reflection allowed: False Reusing pieces allowed: False sage: QuantuminoSolver(14).tiling_solver() Tiling solver of 16 pieces into a box of size 80 Rotation allowed: True Reflection allowed: False Reusing pieces allowed: False sage: QuantuminoSolver(14, box=(5,4,4)).tiling_solver() Tiling solver of 16 pieces into a box of size 80 Rotation allowed: True Reflection allowed: False Reusing pieces allowed: False
- class sage.games.quantumino.QuantuminoState(pentos, aside, box=(5, 8, 2))#
Bases:
SageObject
A state of the Quantumino puzzle.
Used to represent an solution or a partial solution of the Quantumino puzzle.
INPUT:
pentos
- list of 16 3d pentamino representing the (partial) solutionaside
- 3d polyomino, the unused 3D pentaminobox
- tuple of size three (optional, default:(5,8,2)
), size of the box
EXAMPLES:
sage: from sage.games.quantumino import pentaminos, QuantuminoState sage: p = pentaminos[0] sage: q = pentaminos[5] sage: r = pentaminos[11] sage: S = QuantuminoState([p,q], r) sage: S Quantumino state where the following pentamino is put aside : Polyomino: [(0, 0, 0), (1, 0, 0), (1, 0, 1), (1, 1, 0), (1, 2, 0)], Color: darkblue
sage: from sage.games.quantumino import QuantuminoSolver sage: next(QuantuminoSolver(3).solve()) # not tested (1.5s) Quantumino state where the following pentamino is put aside : Polyomino: [(0, 0, 0), (0, 1, 0), (0, 2, 0), (1, 0, 0), (1, 0, 1)], Color: green
- list()#
Return the list of 3d polyomino making the solution.
EXAMPLES:
sage: from sage.games.quantumino import pentaminos, QuantuminoState sage: p = pentaminos[0] sage: q = pentaminos[5] sage: r = pentaminos[11] sage: S = QuantuminoState([p,q], r) sage: L = S.list() sage: L[0] Polyomino: [(0, 0, 0), (1, 0, 0), (1, 1, 0), (1, 1, 1), (1, 2, 0)], Color: deeppink sage: L[1] Polyomino: [(0, 0, 0), (1, 0, 0), (1, 0, 1), (1, 1, 0), (2, 0, 1)], Color: red
- show3d(size=0.85)#
Return the solution as a 3D Graphic object.
OUTPUT:
3D Graphic Object
EXAMPLES:
sage: from sage.games.quantumino import QuantuminoSolver sage: s = next(QuantuminoSolver(0).solve()) # not tested (1.5s) sage: G = s.show3d() # not tested (<1s) sage: type(G) # not tested <class 'sage.plot.plot3d.base.Graphics3dGroup'>
To remove the frame:
sage: G.show(frame=False) # not tested
To see the solution with Tachyon viewer:
sage: G.show(viewer='tachyon', frame=False) # not tested
- sage.games.quantumino.show_pentaminos(box=(5, 8, 2))#
Show the 17 3-D pentaminos included in the game and the \(5 \times 8 \times 2\) box where 16 of them must fit.
INPUT:
box
– tuple of size three (optional, default:(5,8,2)
), size of the box
OUTPUT:
3D Graphic object
EXAMPLES:
sage: from sage.games.quantumino import show_pentaminos sage: show_pentaminos() # not tested (1s)
To remove the frame do:
sage: show_pentaminos().show(frame=False) # not tested (1s)


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Workflows
Edit (pull request)TOSCA Specification defines the notion of Plans. Plans are basically workflows that the tosca container will be able to leverage to administrate the defined tosca application.
The specification defines two basic workflow (plans):
- build: Used to instanciate and start a topology.
- terminate: Used to tear down a topology.
In order to ease TOSCA usage the normative types specification include default lifecycle operations on node types and relationship types that can be used in order to automatically generate workflows (plans). This is why most of users won’t have to define plans.
Workflow definition
Workflow definition is inspired by BPMN2 but focus on required events, gateways and activities for TOSCA. The following section defines the available elements and the way to define them in a TOSCA Simple profile in YAML. Definition of elements is also adapted to match the TOSCA Simple profile in YAML concepts.
Events
Start event
Every plan should start with the start event, if omitted the container will automatically add it as first element of the workflow.
Graphical representation
The following symbol represents the start event.
Grammar
workflows:
<flow_id>:
<id>: startEvent
End event
Every plan should finish with the end event, if omitted the container will automatically add it as last element of the workflow.
Graphical representation
The following symbol represents the end event.
Grammar
workflows:
<flow_id>:
<id>: endEvent
Update State send message event
Update the state of a node template or relationship template.
Graphical representation
The following symbol represents the end event.
Grammar
workflows:
<flow_id>:
# Simple notation
<id>:
stateUpdate:<target>#<state>
# Detailed notation
<id>:
stateUpdate:
target: <target>
state: <state>
Update State receive message event
Receive a state update to trigger next operation.
Graphical representation
The following symbol represents the end event.
Grammar
workflows:
<flow_id>:
# Simple notation
<id>:
receiveStateUpdate:<target>#<state>
# Detailed notation
<id>:
receiveStateUpdate:
target: <target>
state: <state>
Activities
The single activity a TOSCA plan can contains is a specific execute operation Task activity.
Execute task
Execute allows to execute an operation defined on an entity’s (node or relationship) interface.
Graphical representation
Grammar
workflows:
<flow_id>:
# Simple notation
<id>:
execute: <target>#<interface>#<operation>
# Detailed notation
<id>:
execute:
target: <target>
interface: <interface>
operation: <operation>
Gateways
The only gateways used to define the TOSCA workflows is the parallel gateway. A parallel gateway can be diverging or converging. To ease configuration of the flow the two gateways are considered here a separate elements.
Parallel Diverging gateway
A parallel diverging gateway allows to specify subflows that will run concurrently. Note that if a task is specified in the flow after a Parallel Diverging Gateway, a Parallel Converging Gateway including all elements from the previous converging gateway is automatically added to the flow.
Graphical representation
Grammar
workflows:
<flow_id>:
<id>:
divergingGateway:
<subflow_id_1>:
<task_id>...
<subflow_id_2>
<task_id>...
...
<subflow_id_n>
<task_id>...
Parallel Converging gateway
A Parallel Converging gateway allows
Graphical representation
Grammar
workflows:
<flow_id>:
<id>:
convergingGateway:
<id_1>
<id_2>
...
<id_n>


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https://www.scipy.org/
https://docs.scipy.org/doc/scipy/tutorial/index.html
SciPy User Guide
https://pypi.org/project/scipy/
SciPy: Scientific Library for Python
https://scipy-cookbook.readthedocs.io/
SciPy Cookbook
https://www.scipy.org/install.html
ANACONDA Use 'conda' or graphical tools. PIP (in a virtual environment) python -m pip install numpy scipy matplotlib ipython jupyter pandas sympy nose APT (for the entire computer) Debian packages: python-scipy, python3-scipy, and dependencies. From SciPy.org: apt-get install python-numpy python-scipy python-matplotlib python-pandas apt-get install ipython ipython-notebook python-sympy python-nose
SciPy is a Python-based ecosystem of open-source software for mathematics, science, and engineering [version 1.1.0 in Debian 10]. These are some of the core packages: NumPy, SciPy library, Matplotlib, IPython, SymPy, pandas, NetworkX, scikit-learn, scikit-image, h5py.
SciPy is organized into subpackages covering different scientific computing domains. These are summarized in the following table:
Subpackage Description cluster Clustering algorithms constants Physical and mathematical constants fftpack Fast Fourier Transform routines integrate Integration and ordinary differential equation solvers interpolate Interpolation and smoothing splines io Input and Output linalg Linear algebra ndimage N-dimensional image processing odr Orthogonal distance regression optimize Optimization and root-finding routines signal Signal processing sparse Sparse matrices and associated routines spatial Spatial data structures and algorithms special Special functions stats Statistical distributions and functions SciPy sub-packages need to be imported separately, for example: from scipy import linalg, optimize import scipy.special as sc # help(sc) import scipy.special as special


The Sagarmala Programme is an initiative by the government of India to enhance the performance of the country's logistics sector. The programme envisages unlocking the potential of waterways and the coastline to minimize infrastructural investments required to meet these targets
Read MoreThe development of any nation depends on the transportation networks and the ways in which they are being maintained. The same holds true for the development of a huge and populous nation like India. For connecting the areas and maintaining smooth flow of traffic, the construction of new and developed roads are a must. The same will be achieved with the implementation of the Bharatmala project.
Read MoreThe Indian Government has targeted to replace all level crossings on National Highways with road over bridges or under bridges under the Setu Bharatam scheme before the end of the year 2020. The Setu Bharatam Scheme is being implemented by the Union Road Transport and Highways Ministry to ensure a smooth flow of traffic on the national highways and reduce road accidents by at least 50 percent by 2020.
Read MoreThe Ministry of Railways, under the direction of the Indian Government, had taken up the dedicated freight corridor (DFC) project. The project involves the construction of six freight corridors traversing the entire country. The purpose of the project is to provide a safe and efficient freight transportation system.
Read More


| Opcode/Instruction | Op /En | 64/32 bit Mode Support | CPUID Feature Flag | Description |
|---|---|---|---|---|
|
EVEX.NDS.LIG.F3.0F.W0 7B /r VCVTUSI2SS xmm1, xmm2, r/m32{er} |
T1S | V/V | AVX512F | Convert one signed doubleword integer from r/m32 to one single-precision floating-point value in xmm1. |
|
EVEX.NDS.LIG.F3.0F.W1 7B /r VCVTUSI2SS xmm1, xmm2, r/m64{er} |
T1S | V/N.E.1 | AVX512F | Convert one signed quadword integer from r/m64 to one single-precision floating-point value in xmm1. |
NOTES: 1. For this specific instruction, EVEX.W in non-64 bit is ignored; the instructions behaves as if the W0 version is
used.
| Op/En | Operand 1 | Operand 2 | Operand 3 | Operand 4 |
| T1S | ModRM:reg (w) | VEX.vvvv | ModRM:r/m (r) | NA |
Description
Converts a unsigned doubleword integer (or unsigned quadword integer if operand size is 64 bits) in the source operand (second operand) to a single-precision floating-point value in the destination operand (first operand). The source operand can be a general-purpose register or a memory location. The destination operand is an XMM register. The result is stored in the low doubleword of the destination operand. When a conversion is inexact, the value returned is rounded according to the rounding control bits in the MXCSR register or the embedded rounding control bits.
The second source operand can be a general-purpose register or a 32/64-bit memory location. The first source and destination operands are XMM registers. Bits (127:32) of the XMM register destination are copied from corre-sponding bits in the first source operand. Bits (MAX_VL-1:128) of the destination register are zeroed.
EVEX.W1 version: promotes the instruction to use 64-bit input value in 64-bit mode.
Operation
VCVTUSI2SS (EVEX encoded version)
IF (SRC2 *is register*) AND (EVEX.b = 1)
THEN
SET_RM(EVEX.RC);
ELSE
SET_RM(MXCSR.RM);
FI;
IF 64-Bit Mode And OperandSize = 64
THEN
DEST[31:0] (cid:197) Convert_UInteger_To_Single_Precision_Floating_Point(SRC[63:0]);
ELSE
DEST[31:0] (cid:197) Convert_UInteger_To_Single_Precision_Floating_Point(SRC[31:0]);
FI;
DEST[127:32] (cid:197) SRC1[127:32]
DEST[MAX_VL-1:128] (cid:197) 0
Intel C/C++ Compiler Intrinsic Equivalent
VCVTUSI2SS __m128 _mm_cvtu32_ss( __m128 s, unsigned a);
VCVTUSI2SS __m128 _mm_cvt_roundu32_ss( __m128 s, unsigned a, int r);
VCVTUSI2SS __m128 _mm_cvtu64_ss( __m128 s, unsigned __int64 a);
VCVTUSI2SS __m128 _mm_cvt_roundu64_ss( __m128 s, unsigned __int64 a, int r);
SIMD Floating-Point Exceptions
Precision
Other Exceptions
See Exceptions Type E3NF.